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@@ -399,13 +427,13 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section id="configuring-the-workshop-environment">
-<h1>Configuring the Workshop Environment<a class="headerlink" href="#configuring-the-workshop-environment" title="Permalink to this headline">#</a></h1>
+<h1>Configuring the Workshop Environment<a class="headerlink" href="#configuring-the-workshop-environment" title="Link to this heading">#</a></h1>
 <p>These directions walk through installing miniconda, a lightweight distribution of the python package installer conda, downloading the NAVO workshop material, then creating and testing the custom environment for the  workshop.</p>
 <section id="only-for-windows-install-wsl">
-<h2>0. (Only for Windows) Install WSL<a class="headerlink" href="#only-for-windows-install-wsl" title="Permalink to this headline">#</a></h2>
+<h2>0. (Only for Windows) Install WSL<a class="headerlink" href="#only-for-windows-install-wsl" title="Link to this heading">#</a></h2>
 <p><em>This step is is only for Windows users and is adapted from <a class="reference external" href="https://github.com/astropy/astropy-workshop/blob/main/00-Install_and_Setup/README.md#0-only-for-windows-install-wsl">step 0 of the Astropy Workshop instructions</a>.</em></p>
 <p><em>If you are using Windows, we now recommend using the Windows Subsystem for Linux (WSL) instead of using native Windows tools. WSL is now fully supported by Microsoft and tends to result in fewer install headaches, and lets you use tools that were developed for Linux seamlessly in Windows.  Since installing WSL requires admin privileges, this approach is suitable if you already have WSL installed or have admin privileges.  If neither of those is true,  you may still have success using the Windows-native installation of Miniconda in step 1, but can also run and save all the workshop content via a web browser using the <a class="reference external" href="https://github.com/NASA-NAVO/navo-workshop#running-on-sciserver">Running on Sciserver instructions</a>.</em></p>
 <p>If you are not using Windows, proceed to step 1.</p>
@@ -413,7 +441,7 @@ <h2>0. (Only for Windows) Install WSL<a class="headerlink" href="#only-for-windo
 <p>To install WSL, you should follow the instructions Microsoft provides here: https://docs.microsoft.com/en-us/windows/wsl/install. While you may choose an alternative Linux distribution from the default Ubuntu, the instructions below have been tested on Ubuntu, so unless you have a specific reason, we suggest you stick with the default.  Once you reach the point in the instructions with a working Linux terminal prompt, you can proceed to step 1 of these instructions.</p>
 </section>
 <section id="install-miniconda-if-needed">
-<h2>1. Install Miniconda (if needed)<a class="headerlink" href="#install-miniconda-if-needed" title="Permalink to this headline">#</a></h2>
+<h2>1. Install Miniconda (if needed)<a class="headerlink" href="#install-miniconda-if-needed" title="Link to this heading">#</a></h2>
 <p><em>Miniconda is a free minimal installer for conda. It is a small, bootstrap
 version of Anaconda that includes only conda, Python, the packages they depend
 on, and a small number of other useful packages, including pip, zlib and a few
@@ -429,7 +457,7 @@ <h2>1. Install Miniconda (if needed)<a class="headerlink" href="#install-minicon
 <a class="reference external" href="https://github.com/conda/conda-build/wiki/Windows-Compilers">additional compilers</a>.</p>
 </section>
 <section id="update-conda-version">
-<h2>2. Update conda version<a class="headerlink" href="#update-conda-version" title="Permalink to this headline">#</a></h2>
+<h2>2. Update conda version<a class="headerlink" href="#update-conda-version" title="Link to this heading">#</a></h2>
 <p><em>Miniconda includes an environment manager called conda. Environments
 allow you to have multiple sets of Python packages installed at the same
 time, making reproducibility and upgrades easier. You can create,
@@ -463,7 +491,7 @@ <h2>2. Update conda version<a class="headerlink" href="#update-conda-version" ti
 </div>
 </section>
 <section id="install-git-if-needed">
-<h2>3. Install git (if needed)<a class="headerlink" href="#install-git-if-needed" title="Permalink to this headline">#</a></h2>
+<h2>3. Install git (if needed)<a class="headerlink" href="#install-git-if-needed" title="Link to this heading">#</a></h2>
 <p>At the prompt opened in the previous step, enter this command to see whether git is already installed and accessible to this shell:</p>
 <div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">git --version</span>
 </pre></div>
@@ -474,7 +502,7 @@ <h2>3. Install git (if needed)<a class="headerlink" href="#install-git-if-needed
 </div>
 </section>
 <section id="clone-this-repository">
-<h2>4. Clone This Repository<a class="headerlink" href="#clone-this-repository" title="Permalink to this headline">#</a></h2>
+<h2>4. Clone This Repository<a class="headerlink" href="#clone-this-repository" title="Link to this heading">#</a></h2>
 <p>Download the workshop folder using
 <a class="reference external" href="https://help.github.com/articles/set-up-git/">git</a>:</p>
 <div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">git clone https://github.com/NASA-NAVO/navo-workshop</span>
@@ -482,7 +510,7 @@ <h2>4. Clone This Repository<a class="headerlink" href="#clone-this-repository"
 </div>
 </section>
 <section id="create-a-conda-environment-for-the-workshop">
-<h2>5. Create a conda environment for the workshop<a class="headerlink" href="#create-a-conda-environment-for-the-workshop" title="Permalink to this headline">#</a></h2>
+<h2>5. Create a conda environment for the workshop<a class="headerlink" href="#create-a-conda-environment-for-the-workshop" title="Link to this heading">#</a></h2>
 <p><em>For this workshop, the python version and all needed packages are listed in the
 <a class="reference external" href="https://github.com/NASA-NAVO/navo-workshop/blob/main/environment.yml">environment.yml</a> file.</em></p>
 <p>Navigate to the workshop directory in the terminal. For example, if you installed
@@ -499,7 +527,7 @@ <h2>5. Create a conda environment for the workshop<a class="headerlink" href="#c
 <p>The creation of the environment can take some time to run.</p>
 </section>
 <section id="check-installation">
-<h2>6. Check Installation<a class="headerlink" href="#check-installation" title="Permalink to this headline">#</a></h2>
+<h2>6. Check Installation<a class="headerlink" href="#check-installation" title="Link to this heading">#</a></h2>
 <p>The name of the new conda environment created above should be displayed next
 to the terminal prompt:</p>
 <div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp gp-VirtualEnv">(navo-env)</span>
@@ -512,14 +540,22 @@ <h2>6. Check Installation<a class="headerlink" href="#check-installation" title=
 </div>
 </section>
 <section id="starting-jupyterlab">
-<h2>7. Starting Jupyterlab<a class="headerlink" href="#starting-jupyterlab" title="Permalink to this headline">#</a></h2>
-<p>From the directory containing the notebooks:</p>
+<h2>7. Starting Jupyterlab<a class="headerlink" href="#starting-jupyterlab" title="Link to this heading">#</a></h2>
+<p>From the top-level directory of the repository, change directory to the
+<code class="docutils literal notranslate"><span class="pre">content/</span></code> subdirectory:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">cd content</span>
+</pre></div>
+</div>
+<p>Start Jupyterlab from this subdirectory:</p>
 <div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">jupyter lab</span>
 </pre></div>
 </div>
+<p>You can then use the Jupyterlab file browser to navigate to the
+<code class="docutils literal notranslate"><span class="pre">reference_notebooks</span></code> and <code class="docutils literal notranslate"><span class="pre">use_case_notebooks</span></code> subdirectories that contain
+the notebooks.</p>
 </section>
 <section id="handling-notebooks-in-myst-markdown-format">
-<h2>8. Handling Notebooks in MyST-Markdown format<a class="headerlink" href="#handling-notebooks-in-myst-markdown-format" title="Permalink to this headline">#</a></h2>
+<h2>8. Handling Notebooks in MyST-Markdown format<a class="headerlink" href="#handling-notebooks-in-myst-markdown-format" title="Link to this heading">#</a></h2>
 <p>The Jupyter notebooks in this repository are in
 <a class="reference external" href="https://myst-nb.readthedocs.io/en/v0.13.2/use/markdown.html">MyST-Markdown format</a>.
 The <a class="reference external" href="https://jupytext.readthedocs.io/en/latest/index.html">jupytext</a> package is
@@ -541,7 +577,7 @@ <h2>8. Handling Notebooks in MyST-Markdown format<a class="headerlink" href="#ha
 <p><img alt="Jupyterlab Document Manager settings" src="_images/jupytext_settings.png" /></p>
 </section>
 <section id="additional-resources">
-<h2>Additional Resources<a class="headerlink" href="#additional-resources" title="Permalink to this headline">#</a></h2>
+<h2>Additional Resources<a class="headerlink" href="#additional-resources" title="Link to this heading">#</a></h2>
 <ul class="simple">
 <li><p><a class="reference external" href="https://help.github.com/articles/set-up-git/">Set up git</a></p></li>
 <li><p><a class="reference external" href="https://docs.conda.io/projects/conda/en/latest/user-guide/">Conda Users Guide</a></p></li>
@@ -555,11 +591,10 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
 
               
               
-                <footer class="bd-footer-article">
+              
+              
+                <footer class="prev-next-footer d-print-none">
                   
-<div class="footer-article-items footer-article__inner">
-  
-    <div class="footer-article-item"><!-- Previous / next buttons -->
 <div class="prev-next-area">
     <a class="left-prev"
        href="content/use_case_notebooks/hr_diagram_solution.html"
@@ -579,10 +614,7 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
       </div>
       <i class="fa-solid fa-angle-right"></i>
     </a>
-</div></div>
-  
 </div>
-
                 </footer>
               
             </div>
@@ -591,6 +623,7 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
               
                 <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
 
+
   <div class="sidebar-secondary-item">
   <div class="page-toc tocsection onthispage">
     <i class="fa-solid fa-list"></i> Contents
@@ -628,6 +661,7 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
   
   <div class="footer-item">
     
+
   <p class="copyright">
     
       © Copyright 2018-2022, NASA-NAVO developers.
@@ -654,8 +688,8 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
   </div>
   
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-<script src="_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52"></script>
+  <script src="_static/scripts/bootstrap.js?digest=dfe6caa3a7d634c4db9b"></script>
+<script src="_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/KNOWN_ISSUES.html b/KNOWN_ISSUES.html
index 555599d..151a08e 100644
--- a/KNOWN_ISSUES.html
+++ b/KNOWN_ISSUES.html
@@ -1,13 +1,12 @@
 
-
 <!DOCTYPE html>
 
 
-<html >
+<html lang="en" data-content_root="./" >
 
   <head>
     <meta charset="utf-8" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     <title>Known issues and workarounds &#8212; NASA-NAVO Workshops Notebooks</title>
   
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-    document.documentElement.dataset.theme = localStorage.getItem("theme") || "light";
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-    <link rel="stylesheet" href="_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
+    <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=a746c00c" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/sphinx-book-theme.css?v=a3416100" />
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-    <link rel="stylesheet" type="text/css" href="_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="_static/copybutton.css?v=76b2166b" />
   
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-  <link rel="preload" as="script" href="_static/scripts/bootstrap.js?digest=e353d410970836974a52" />
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+  <link rel="preload" as="script" href="_static/scripts/bootstrap.js?digest=dfe6caa3a7d634c4db9b" />
+<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
+  <script src="_static/vendor/fontawesome/6.5.2/js/all.min.js?digest=dfe6caa3a7d634c4db9b"></script>
+
+    <script src="_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="_static/doctools.js?v=9a2dae69"></script>
+    <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="_static/copybutton.js?v=f281be69"></script>
+    <script src="_static/scripts/sphinx-book-theme.js?v=887ef09a"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = 'KNOWN_ISSUES';</script>
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="search.html" />
     <link rel="prev" title="Configuring the Workshop Environment" href="00_SETUP.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
-  <meta name="docsearch:language" content="None"/>
+  <meta name="docsearch:language" content="en"/>
   </head>
   
   
@@ -58,19 +57,23 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <div id="pst-skip-link" class="skip-link d-print-none"><a href="#main-content">Skip to main content</a></div>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>Back to top</button>
+
   
   <input type="checkbox"
           class="sidebar-toggle"
-          name="__primary"
-          id="__primary"/>
-  <label class="overlay overlay-primary" for="__primary"></label>
+          id="pst-primary-sidebar-checkbox"/>
+  <label class="overlay overlay-primary" for="pst-primary-sidebar-checkbox"></label>
   
   <input type="checkbox"
           class="sidebar-toggle"
-          name="__secondary"
-          id="__secondary"/>
-  <label class="overlay overlay-secondary" for="__secondary"></label>
+          id="pst-secondary-sidebar-checkbox"/>
+  <label class="overlay overlay-secondary" for="pst-secondary-sidebar-checkbox"></label>
   
   <div class="search-button__wrapper">
     <div class="search-button__overlay"></div>
@@ -92,13 +95,21 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
+
+  <div class="pst-async-banner-revealer d-none">
+  <aside id="bd-header-version-warning" class="d-none d-print-none" aria-label="Version warning"></aside>
+</div>
+
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar d-print-none">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
       <div class="bd-sidebar-primary bd-sidebar">
         
 
@@ -112,6 +123,9 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
+  
+    
   
 
 <a class="navbar-brand logo" href="index.html">
@@ -120,10 +134,11 @@
   
   
   
+  
     <p class="title logo__title">NASA-NAVO Workshops Notebooks</p>
   
 </a></div>
-        <div class="sidebar-primary-item"><ul class="navbar-icon-links navbar-nav"
+        <div class="sidebar-primary-item"><ul class="navbar-icon-links"
     aria-label="Icon Links">
         <li class="nav-item">
           
@@ -134,11 +149,22 @@
           
           
           
-          <a href="https://github.com/NASA-NAVO/navo-workshop" title="GitHub" class="nav-link" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><span><i class="fa-brands fa-square-github"></i></span>
-            <label class="sr-only">GitHub</label></a>
+          <a href="https://github.com/NASA-NAVO/navo-workshop" title="GitHub" class="nav-link pst-navbar-icon" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><i class="fa-brands fa-square-github fa-lg" aria-hidden="true"></i>
+            <span class="sr-only">GitHub</span></a>
         </li>
 </ul></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         
         <ul class="nav bd-sidenav bd-sidenav__home-link">
@@ -184,7 +210,7 @@
 
       </div>
       
-      <main id="main-content" class="bd-main">
+      <main id="main-content" class="bd-main" role="main">
         
         
 
@@ -193,14 +219,14 @@
           <div class="bd-content">
             <div class="bd-article-container">
               
-              <div class="bd-header-article">
+              <div class="bd-header-article d-print-none">
 <div class="header-article-items header-article__inner">
   
     <div class="header-article-items__start">
       
-        <div class="header-article-item"><label class="sidebar-toggle primary-toggle btn btn-sm" for="__primary" title="Toggle primary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
+        <div class="header-article-item"><button class="sidebar-toggle primary-toggle btn btn-sm" title="Toggle primary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
   <span class="fa-solid fa-bars"></span>
-</label></div>
+</button></div>
       
     </div>
   
@@ -339,26 +365,28 @@
 </button>
 
 
+
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+
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+  <button class="btn btn-sm pst-navbar-icon search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
-<label class="sidebar-toggle secondary-toggle btn btn-sm" for="__secondary"title="Toggle secondary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
+<button class="sidebar-toggle secondary-toggle btn btn-sm" title="Toggle secondary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
     <span class="fa-solid fa-list"></span>
-</label>
+</button>
 </div></div>
       
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@@ -397,10 +425,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section id="known-issues-and-workarounds">
-<h1>Known issues and workarounds<a class="headerlink" href="#known-issues-and-workarounds" title="Permalink to this headline">#</a></h1>
+<h1>Known issues and workarounds<a class="headerlink" href="#known-issues-and-workarounds" title="Link to this heading">#</a></h1>
 <p>PyVO is an open development, Astropy-affiliated package that is still under development.
 The VO services themselves are each dependent on their own institutional
 implementations, which can and do vary.  There are therefore sometimes minor incompatibilities,
@@ -409,7 +437,7 @@ <h1>Known issues and workarounds<a class="headerlink" href="#known-issues-and-wo
 a different implementation.  So if a given service is not working for you, try going back to
 the registry to see if there might be another.</p>
 <section id="pyvo-regsearch-update">
-<h2>PyVO regsearch() update:<a class="headerlink" href="#pyvo-regsearch-update" title="Permalink to this headline">#</a></h2>
+<h2>PyVO regsearch() update:<a class="headerlink" href="#pyvo-regsearch-update" title="Link to this heading">#</a></h2>
 <p>PyVO’s registry search functions have been updated to allow for more
 powerful methods of data discovery.  Previously you could
 use arguments keywords, servicetype, and waveband, and these still work:</p>
@@ -431,7 +459,7 @@ <h2>PyVO regsearch() update:<a class="headerlink" href="#pyvo-regsearch-update"
 <a class="reference external" href="https://pyvo.readthedocs.io/en/latest/registry/index.html">its documentation</a>.</p>
 </section>
 <section id="indexing-and-slicing-registry-results">
-<h2>Indexing and slicing registry results<a class="headerlink" href="#indexing-and-slicing-registry-results" title="Permalink to this headline">#</a></h2>
+<h2>Indexing and slicing registry results<a class="headerlink" href="#indexing-and-slicing-registry-results" title="Link to this heading">#</a></h2>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">services</span><span class="o">=</span><span class="n">vo</span><span class="o">.</span><span class="n">regsearch</span><span class="p">(</span><span class="n">servicetype</span><span class="o">=</span><span class="s1">&#39;image&#39;</span><span class="p">)</span>
 </pre></div>
 </div>
@@ -454,16 +482,16 @@ <h2>Indexing and slicing registry results<a class="headerlink" href="#indexing-a
 </div>
 </section>
 <section id="table-descriptions">
-<h2>Table descriptions<a class="headerlink" href="#table-descriptions" title="Permalink to this headline">#</a></h2>
+<h2>Table descriptions<a class="headerlink" href="#table-descriptions" title="Link to this heading">#</a></h2>
 <p>Getting the descriptions of the tables available for a TAP service may not return useful information
 in some cases. For other services, the tables metadata is not being parsed correctly,
 another issue we are working on.</p>
 <p><strong>Workaround</strong>:</p>
 <p>This part of data discovery is often still a hands-on task based, for example, on the registry:</p>
-<p><a class="reference external" href="https://vao.stsci.edu/keyword-search/?utf8=%E2%9C%93&amp;search_field=all_fields&amp;q=abellzcat%5D">https://vao.stsci.edu/keyword-search/?utf8=✓&amp;search_field=all_fields&amp;q=abellzcat</a></p>
+<p><a class="reference external" href="https://vao.stsci.edu/keyword-search/?utf8=%E2%9C%93&amp;amp;search_field=all_fields&amp;amp;q=abellzcat%5D">https://vao.stsci.edu/keyword-search/?utf8=✓&amp;search_field=all_fields&amp;q=abellzcat</a></p>
 </section>
 <section id="galex-service-from-stsci-doesn-t-take-format-specification">
-<h2>Galex service from STScI doesn’t take format specification:<a class="headerlink" href="#galex-service-from-stsci-doesn-t-take-format-specification" title="Permalink to this headline">#</a></h2>
+<h2>Galex service from STScI doesn’t take format specification:<a class="headerlink" href="#galex-service-from-stsci-doesn-t-take-format-specification" title="Link to this heading">#</a></h2>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">galex_image_services</span> <span class="o">=</span> <span class="n">vo</span><span class="o">.</span><span class="n">regsearch</span><span class="p">(</span><span class="n">keywords</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;galex&#39;</span><span class="p">],</span> <span class="n">servicetype</span><span class="o">=</span><span class="s1">&#39;image&#39;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">search</span><span class="p">(</span><span class="n">pos</span><span class="o">=</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">size</span><span class="o">=</span><span class="mf">0.1</span><span class="p">)</span>
 </pre></div>
 </div>
@@ -476,7 +504,7 @@ <h2>Galex service from STScI doesn’t take format specification:<a class="heade
 <p><strong>Workaround</strong>:  Don’t limit the format and select after the fact.</p>
 </section>
 <section id="some-services-do-not-like-pyvo-s-specification-of-some-parameters">
-<h2>Some services do not like PyVO’s specification of some parameters<a class="headerlink" href="#some-services-do-not-like-pyvo-s-specification-of-some-parameters" title="Permalink to this headline">#</a></h2>
+<h2>Some services do not like PyVO’s specification of some parameters<a class="headerlink" href="#some-services-do-not-like-pyvo-s-specification-of-some-parameters" title="Link to this heading">#</a></h2>
 <p>For example,</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">services</span> <span class="o">=</span> <span class="n">vo</span><span class="o">.</span><span class="n">regsearch</span><span class="p">(</span><span class="n">servicetype</span><span class="o">=</span><span class="s1">&#39;image&#39;</span><span class="p">,</span> <span class="n">keywords</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;sloan&#39;</span><span class="p">],</span> <span class="n">waveband</span><span class="o">=</span><span class="s1">&#39;optical&#39;</span><span class="p">)</span>
 
@@ -491,17 +519,17 @@ <h2>Some services do not like PyVO’s specification of some parameters<a class=
 keyword in this search.</p>
 </section>
 <section id="pyvo-dal-ssa-ssarecord-make-dataset-filename-writes-suffix-none">
-<h2>pyvo.dal.ssa.SSARecord.make_dataset_filename() writes suffix  ‘None’<a class="headerlink" href="#pyvo-dal-ssa-ssarecord-make-dataset-filename-writes-suffix-none" title="Permalink to this headline">#</a></h2>
+<h2>pyvo.dal.ssa.SSARecord.make_dataset_filename() writes suffix  ‘None’<a class="headerlink" href="#pyvo-dal-ssa-ssarecord-make-dataset-filename-writes-suffix-none" title="Link to this heading">#</a></h2>
 <p>If you use this function to make a file name, the result for a FITS file has suffix “.None” instead of of “.fits”.</p>
 <p><strong>Workaround</strong>:  Name it yourself.</p>
 </section>
 <section id="geometric-functions-in-tap-services">
-<h2>Geometric functions in TAP services<a class="headerlink" href="#geometric-functions-in-tap-services" title="Permalink to this headline">#</a></h2>
+<h2>Geometric functions in TAP services<a class="headerlink" href="#geometric-functions-in-tap-services" title="Link to this heading">#</a></h2>
 <p>Different TAP services have different implementations of the geometric functions in ADQL (See <a class="reference external" href="http://www.ivoa.net/documents/latest/ADQL.html">the ADQL standard</a>.)  These don’t always work.  Circles usually do, intersects and polygons sometimes do not.  Not all services support regions.</p>
 <p><strong>Workaround</strong>:  Various.  Find a different service that provides the same table and try the query there.  Use simpler queries where possible.</p>
 </section>
 <section id="asynchronous-tap-queries">
-<h2>Asynchronous TAP queries<a class="headerlink" href="#asynchronous-tap-queries" title="Permalink to this headline">#</a></h2>
+<h2>Asynchronous TAP queries<a class="headerlink" href="#asynchronous-tap-queries" title="Link to this heading">#</a></h2>
 <p>Each service implements TAP queries differently, whether synchronous
 or asynchronous.  The latter option is more powerful and therefore
 more complicated.  It is intended for longer queries so that the
@@ -529,7 +557,7 @@ <h2>Asynchronous TAP queries<a class="headerlink" href="#asynchronous-tap-querie
 <p>Note also that if your query contains syntax errors, these are exposed more readily when you use a synchronous search.</p>
 </section>
 <section id="using-ucds-unified-content-descriptors">
-<h2>Using UCDs (unified content descriptors)<a class="headerlink" href="#using-ucds-unified-content-descriptors" title="Permalink to this headline">#</a></h2>
+<h2>Using UCDs (unified content descriptors)<a class="headerlink" href="#using-ucds-unified-content-descriptors" title="Link to this heading">#</a></h2>
 <p>UCDs are a very useful way to programmatically access the columns you need in tables where they may be named differently.  They can have multiple components separated by a ‘;’ (compound UCDs), and there can be multiple columns tagged with a UCD like “pos.eq.ra” in addition to other UCDs.  The user will still need to understand the different columns to select the one that they want, which may, for example, be “pos.eq.ra;meta.main”.</p>
 <p>But note that this complexity is currently not supported by the PyVO getbyucd() or fieldname_with_ucd() methods.  Note that currently they check only the first UCD and will miss any subsequent matches.</p>
 <p>Furthermore, the defintion of UCDs (http://www.ivoa.net/documents/latest/UCD.html) defines the syntax as ‘words’ separated by semicolons, where the words consist of ‘atoms’ separated by periods.  The UCD for a Right Ascension column is therefore usually ‘pos.eq.ra’.  But the definition of a Simple Cone Search (http://www.ivoa.net/documents/latest/ConeSearch.html) requires that the field used for the position be “POS_EQ_RA_MAIN”.</p>
@@ -542,11 +570,10 @@ <h2>Using UCDs (unified content descriptors)<a class="headerlink" href="#using-u
 
               
               
-                <footer class="bd-footer-article">
+              
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+                <footer class="prev-next-footer d-print-none">
                   
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@@ -557,10 +584,7 @@ <h2>Using UCDs (unified content descriptors)<a class="headerlink" href="#using-u
         <p class="prev-next-title">Configuring the Workshop Environment</p>
       </div>
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@@ -569,6 +593,7 @@ <h2>Using UCDs (unified content descriptors)<a class="headerlink" href="#using-u
               
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@@ -605,6 +630,7 @@ <h2>Using UCDs (unified content descriptors)<a class="headerlink" href="#using-u
   
   <div class="footer-item">
     
+
   <p class="copyright">
     
       © Copyright 2018-2022, NASA-NAVO developers.
@@ -631,8 +657,8 @@ <h2>Using UCDs (unified content descriptors)<a class="headerlink" href="#using-u
   </div>
   
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-  <script src="_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script>
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+  <script src="_static/scripts/bootstrap.js?digest=dfe6caa3a7d634c4db9b"></script>
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diff --git a/_sources/00_SETUP.md b/_sources/00_SETUP.md
index 14654af..7cd696b 100644
--- a/_sources/00_SETUP.md
+++ b/_sources/00_SETUP.md
@@ -131,12 +131,24 @@ python check_env.py
 ```
 
 ## 7. Starting Jupyterlab
-From the directory containing the notebooks:
+
+From the top-level directory of the repository, change directory to the
+`content/` subdirectory:
+
+```console
+cd content
+```
+
+Start Jupyterlab from this subdirectory:
 
 ```console
 jupyter lab
 ```
 
+You can then use the Jupyterlab file browser to navigate to the
+`reference_notebooks` and `use_case_notebooks` subdirectories that contain
+the notebooks.
+
 ## 8. Handling Notebooks in MyST-Markdown format
 
 The Jupyter notebooks in this repository are in
diff --git a/_sources/content/reference_notebooks/basic_reference.ipynb b/_sources/content/reference_notebooks/basic_reference.ipynb
index e1a437c..57a3936 100644
--- a/_sources/content/reference_notebooks/basic_reference.ipynb
+++ b/_sources/content/reference_notebooks/basic_reference.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "1ec5384b",
+   "id": "eaef1d3b",
    "metadata": {},
    "source": [
     "# Basic Reference"
@@ -10,7 +10,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "22cdc7fe",
+   "id": "2ae3bd01",
    "metadata": {},
    "source": [
     "## 0. Setup\n",
@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ea818508",
+   "id": "f8e633c1",
    "metadata": {},
    "source": [
     "## 1. Overview\n",
@@ -51,7 +51,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "c728354c",
+   "id": "23203d1c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -73,7 +73,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9f4ea6fe",
+   "id": "a865bb64",
    "metadata": {},
    "source": [
     "### 2.1 Look Up Services in VO Registry\n",
@@ -84,37 +84,36 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "49214067",
+   "id": "1fa39f5e",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<DALResultsTable length=208>\n",
-       "                 ivoid                  ...          alt_identifier         \n",
-       "                                        ...                                 \n",
-       "                 object                 ...              object             \n",
-       "--------------------------------------- ... --------------------------------\n",
-       "ivo://archive.stsci.edu/catalogs/mastcs ...                                 \n",
-       "    ivo://bsdc.icranet.org/sds82/q/cone ...                                 \n",
-       "               ivo://cds.vizier/b/swift ...                                 \n",
-       "                ivo://cds.vizier/ii/339 ...      bibcode:2014styd.confE..37P\n",
-       "                ivo://cds.vizier/ii/339 ...      bibcode:2015yCat.2339....0Y\n",
-       "                 ivo://cds.vizier/ix/43 ...      bibcode:2014ApJS..210....8E\n",
-       "                 ivo://cds.vizier/ix/51 ...      bibcode:2017yCat.9051....0R\n",
-       "                 ivo://cds.vizier/ix/58 ...      bibcode:2020ApJS..247...54E\n",
-       "          ivo://cds.vizier/j/a+a/427/87 ... doi:10.26093/cds/vizier.34270087\n",
-       "                                    ... ...                              ...\n",
-       "          ivo://nasa.heasarc/swiftmastr ...                                 \n",
-       "          ivo://nasa.heasarc/swifttdrss ...                                 \n",
-       "          ivo://nasa.heasarc/swiftuvlog ...                                 \n",
-       "          ivo://nasa.heasarc/swiftxrlog ...                                 \n",
-       "           ivo://nasa.heasarc/swsdssqso ...                                 \n",
-       "           ivo://nasa.heasarc/swuvotssc ...                                 \n",
-       "          ivo://nasa.heasarc/swuvotssob ...                                 \n",
-       "            ivo://nasa.heasarc/swxcscat ...                                 \n",
-       "           ivo://nasa.heasarc/swxrt1fgl ...                                 \n",
-       "           ivo://nasa.heasarc/xmmvaragn ...                                 "
+       "<DALResultsTable length=219>\n",
+       "                 ivoid                  ...\n",
+       "                                        ...\n",
+       "                 object                 ...\n",
+       "--------------------------------------- ...\n",
+       "ivo://archive.stsci.edu/catalogs/mastcs ...\n",
+       "    ivo://bsdc.icranet.org/sds82/q/cone ...\n",
+       "               ivo://cds.vizier/b/swift ...\n",
+       "                ivo://cds.vizier/ii/339 ...\n",
+       "                 ivo://cds.vizier/ix/43 ...\n",
+       "                 ivo://cds.vizier/ix/51 ...\n",
+       "                 ivo://cds.vizier/ix/58 ...\n",
+       "          ivo://cds.vizier/j/a+a/427/87 ...\n",
+       "          ivo://cds.vizier/j/a+a/448/l9 ...\n",
+       "                                    ... ...\n",
+       "          ivo://nasa.heasarc/swiftuvlog ...\n",
+       "          ivo://nasa.heasarc/swiftxrlog ...\n",
+       "           ivo://nasa.heasarc/swsdssqso ...\n",
+       "           ivo://nasa.heasarc/swuvotssc ...\n",
+       "          ivo://nasa.heasarc/swuvotssob ...\n",
+       "            ivo://nasa.heasarc/swxcscat ...\n",
+       "           ivo://nasa.heasarc/swxrt1fgl ...\n",
+       "           ivo://nasa.heasarc/uvotbscat ...\n",
+       "           ivo://nasa.heasarc/xmmvaragn ..."
       ]
      },
      "execution_count": 2,
@@ -129,7 +128,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3651ff5b",
+   "id": "7a493459",
    "metadata": {},
    "source": [
     "#### 2.1.1 Use different arguments/values to modify the simple example\n",
@@ -156,14 +155,14 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "00f12ddf",
+   "id": "fdd10f5c",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Number of results: 208\n",
+      "Number of results: 219\n",
       "\n",
       "MAST CS - MAST ConeSearch\n",
       "sds82 cone - SDS82 catalog\n",
@@ -181,7 +180,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8c0a9861",
+   "id": "40ae75bc",
    "metadata": {},
    "source": [
     "##### Filtering results\n",
@@ -192,7 +191,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "1dabf5ab",
+   "id": "acd3969e",
    "metadata": {},
    "outputs": [
     {
@@ -211,7 +210,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "90b7ff09",
+   "id": "8f6e58a8",
    "metadata": {},
    "source": [
     "##### Using astropy\n",
@@ -222,7 +221,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "d1234f64",
+   "id": "7ebb3a1d",
    "metadata": {},
    "outputs": [
     {
@@ -231,7 +230,7 @@
      "text": [
       "\n",
       "Column Names:\n",
-      "['ivoid', 'res_type', 'short_name', 'res_title', 'content_level', 'res_description', 'reference_url', 'creator_seq', 'created', 'updated', 'rights', 'content_type', 'source_format', 'source_value', 'region_of_regard', 'waveband', 'access_urls', 'standard_ids', 'intf_types', 'intf_roles', 'alt_identifier']\n",
+      "['ivoid', 'res_type', 'short_name', 'res_title', 'content_level', 'res_description', 'reference_url', 'creator_seq', 'created', 'updated', 'rights', 'content_type', 'source_format', 'source_value', 'region_of_regard', 'waveband', 'access_urls', 'standard_ids', 'intf_types', 'intf_roles']\n",
       "\n"
      ]
     },
@@ -239,12 +238,12 @@
      "data": {
       "text/html": [
        "<div><i>Table length=3</i>\n",
-       "<table id=\"table140225316261216\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table139864547976496\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>short_name</th><th>res_title</th><th>res_description</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>\n",
        "<tr><td>MAST CS</td><td>MAST ConeSearch</td><td>All MAST catalog holdings are available via a ConeSearch endpoint. \\nThis service provides access to all, with an optional non-standard parameter for an individual catalog to query. \\nThe available missions are listed at http://archive.stsci.edu/vo/mast_services.html, \\nand include Hubble (HST) data, Kepler, K2, IUE, HUT, EUVE, FUSE, UIT, WUPPE, BEFS, TUES, IMAPS, High Level Science Products (HLSP), Copernicus, HPOL, VLA First, XMM-OM, and SWIFT.</td></tr>\n",
        "<tr><td>sds82 cone</td><td>SDS82 catalog</td><td>The SDS82 catalog is the result of the Swift DeepSky pipeline over\\nall observations made by Swift-XRT within the Stripe82.</td></tr>\n",
-       "<tr><td>B/swift</td><td>Swift Master Catalog</td><td>(no description available)</td></tr>\n",
+       "<tr><td>B/swift</td><td>Swift Master Catalog</td><td>This table records high-level information for each Swift observation and provides access to the data archive. Each record is associated with a single observation that contains data from all instruments on board Swift. The BAT is the large field of view instrument and operates in the 10-300 keV energy band. The narrow field instruments, XRT and UVOT, operate in the X-ray and UV/optical regime, respectively. An observation is defined as a collection of snapshots, where a snapshot is defined as the time spent observing the same position continuously. Because of observing constraints, the length of a snapshot can be shorter than a single orbit and it can be interrupted because the satellite will point in a different direction of the sky or because the time allocated to that observation ends. The typical Swift observing strategy for a Gamma Ray Burst (GRB) and/or afterglow, consists of a serious of observations aimed at following the GRB and its afterglow evolution. This strategy is achieved with two different type of observations named Automatic Targets and Pre-Planned Targets. The Automatic Target is initiated on board soon after an event is triggered by the BAT. The Figure of Merit (FOM) algorithm, part of the observatory&apos;s autonomy, decides if it is worth requesting a slew maneuver to point the narrow field instruments (NFI) on Swift, XRT and UVOT, in the direction of the trigger. If the conditions to slew to the new position are satisfied, the Automatic Target observation takes place; all the instruments have a pre-set standard configuration of operating modes and filters and about 20000 seconds on source will be collected. The Pre-Planned Target observations instead are initiated from the ground once the trigger is known. These observations are planned on ground and uploaded onto the spacecraft.</td></tr>\n",
        "</table></div>"
       ],
       "text/plain": [
@@ -273,7 +272,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "61f156f5",
+   "id": "eef2e4b6",
    "metadata": {},
    "source": [
     "### 2.2 Cone search\n",
@@ -288,65 +287,63 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "735cc249",
+   "id": "fcf404e8",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div><i>Table length=316</i>\n",
-       "<table id=\"table140225762229024\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<div><i>Table length=274</i>\n",
+       "<table id=\"table139864876262800\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ObjID</th><th>Zone</th><th>SeqNo</th><th>RA</th><th>DEC</th><th>pmRA</th><th>pmDEC</th><th>e_pmRA</th><th>e_pmDEC</th><th>e_RA</th><th>e_DEC</th><th>Epoch</th><th>B1Mag</th><th>R1s_g</th><th>B2Mag</th><th>B2s_g</th><th>R2Mag</th><th>R2s_g</th><th>NMag</th><th>mag</th><th>B1s_g</th><th>R1Mag</th><th>distance</th></tr></thead>\n",
        "<thead><tr><th></th><th></th><th></th><th>deg</th><th>deg</th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th>arcsec</th><th>arcsec</th><th>yr</th><th>mag</th><th></th><th>mag</th><th></th><th>mag</th><th></th><th>mag</th><th>mag</th><th></th><th>mag</th><th>arcsec</th></tr></thead>\n",
        "<thead><tr><th>int64</th><th>int32</th><th>int32</th><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>int32</th><th>float32</th><th>int32</th><th>float32</th><th>int32</th><th>float32</th><th>float32</th><th>int32</th><th>float32</th><th>float32</th></tr></thead>\n",
-       "<tr><td>5888400445251</td><td>1371</td><td>282435</td><td>202.472919444444</td><td>47.1954444444444</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>999.0</td><td>999.0</td><td>1981.8</td><td>-999999500.0</td><td>1</td><td>9.4</td><td>9</td><td>-999999500.0</td><td>0</td><td>7.86</td><td>-999999500.0</td><td>0</td><td>8.98</td><td>0.13680981</td></tr>\n",
-       "<tr><td>5892695420475</td><td>1372</td><td>290363</td><td>202.494625</td><td>47.2065472222222</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>332.0</td><td>999.0</td><td>1956.2</td><td>20.13</td><td>3</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>-999999500.0</td><td>4</td><td>15.79</td><td>1.225397</td></tr>\n",
-       "<tr><td>5892695420458</td><td>1372</td><td>290346</td><td>202.436875</td><td>47.2094416666667</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>999.0</td><td>359.0</td><td>1976.2</td><td>-999999500.0</td><td>1</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>10.89</td><td>-999999500.0</td><td>0</td><td>13.27</td><td>1.5814886</td></tr>\n",
-       "<tr><td>5892695420468</td><td>1372</td><td>290356</td><td>202.469830555556</td><td>47.2232805555556</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>560.0</td><td>934.0</td><td>1976.2</td><td>-999999500.0</td><td>3</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>18.4</td><td>-999999500.0</td><td>0</td><td>17.78</td><td>1.6813676</td></tr>\n",
-       "<tr><td>5888400445256</td><td>1371</td><td>282440</td><td>202.480638888889</td><td>47.1682194444444</td><td>-20.0</td><td>-6.0</td><td>5.0</td><td>5.0</td><td>205.0</td><td>201.0</td><td>1969.5</td><td>12.79</td><td>8</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>14.87</td><td>-999999500.0</td><td>1</td><td>15.4</td><td>1.6839039</td></tr>\n",
-       "<tr><td>5892695420469</td><td>1372</td><td>290357</td><td>202.4706</td><td>47.2235555555556</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>709.0</td><td>130.0</td><td>1956.2</td><td>15.89</td><td>3</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>-999999500.0</td><td>1</td><td>17.68</td><td>1.6983492</td></tr>\n",
-       "<tr><td>5892695420470</td><td>1372</td><td>290358</td><td>202.474338888889</td><td>47.2264416666667</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>200.0</td><td>490.0</td><td>1956.2</td><td>13.49</td><td>4</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>-999999500.0</td><td>1</td><td>18.74</td><td>1.8810501</td></tr>\n",
-       "<tr><td>5888400445204</td><td>1371</td><td>282388</td><td>202.423558333333</td><td>47.1977666666667</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>466.0</td><td>480.0</td><td>1969.5</td><td>15.66</td><td>8</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>14.97</td><td>-999999500.0</td><td>1</td><td>15.22</td><td>1.8820878</td></tr>\n",
-       "<tr><td>5888400445231</td><td>1371</td><td>282415</td><td>202.459627777778</td><td>47.1625777777778</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>945.0</td><td>999.0</td><td>1976.2</td><td>-999999500.0</td><td>1</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>17.22</td><td>-999999500.0</td><td>0</td><td>10.02</td><td>2.0023563</td></tr>\n",
+       "<tr><td>5892695420471</td><td>1372</td><td>290359</td><td>202.481633333333</td><td>47.2332861111111</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>6.0</td><td>999.0</td><td>1977.8</td><td>13.15</td><td>0</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>16.32</td><td>-999999500.0</td><td>1</td><td>-999999500.0</td><td>0.19361904</td></tr>\n",
+       "<tr><td>5892695420474</td><td>1372</td><td>290362</td><td>202.493683333333</td><td>47.2268472222222</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>999.0</td><td>999.0</td><td>1977.8</td><td>-999999500.0</td><td>1</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>17.61</td><td>-999999500.0</td><td>0</td><td>11.0</td><td>0.44705534</td></tr>\n",
+       "<tr><td>5892695420470</td><td>1372</td><td>290358</td><td>202.474338888889</td><td>47.2264416666667</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>200.0</td><td>490.0</td><td>1956.2</td><td>13.49</td><td>4</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>-999999500.0</td><td>1</td><td>18.74</td><td>0.47041878</td></tr>\n",
+       "<tr><td>5892695420476</td><td>1372</td><td>290364</td><td>202.495933333333</td><td>47.2248638888889</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>268.0</td><td>25.0</td><td>1976.2</td><td>15.62</td><td>0</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>10.34</td><td>-999999500.0</td><td>3</td><td>-999999500.0</td><td>0.5886301</td></tr>\n",
+       "<tr><td>5892695420469</td><td>1372</td><td>290357</td><td>202.4706</td><td>47.2235555555556</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>709.0</td><td>130.0</td><td>1956.2</td><td>15.89</td><td>3</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>-999999500.0</td><td>1</td><td>17.68</td><td>0.694267</td></tr>\n",
+       "<tr><td>5892695420468</td><td>1372</td><td>290356</td><td>202.469830555556</td><td>47.2232805555556</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>560.0</td><td>934.0</td><td>1976.2</td><td>-999999500.0</td><td>3</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>18.4</td><td>-999999500.0</td><td>0</td><td>17.78</td><td>0.7292369</td></tr>\n",
+       "<tr><td>5892695420467</td><td>1372</td><td>290355</td><td>202.464672222222</td><td>47.238175</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>999.0</td><td>434.0</td><td>1975.3</td><td>18.13</td><td>0</td><td>-999999500.0</td><td>0</td><td>14.65</td><td>10</td><td>-999999500.0</td><td>14.65</td><td>1</td><td>-999999500.0</td><td>0.9163842</td></tr>\n",
+       "<tr><td>5892695420472</td><td>1372</td><td>290360</td><td>202.484227777778</td><td>47.2483083333333</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>103.0</td><td>148.0</td><td>1979.2</td><td>18.51</td><td>7</td><td>14.1</td><td>2</td><td>12.73</td><td>3</td><td>17.07</td><td>12.73</td><td>8</td><td>17.43</td><td>1.0651429</td></tr>\n",
+       "<tr><td>5892695420480</td><td>1372</td><td>290368</td><td>202.509975</td><td>47.2357055555556</td><td>4.0</td><td>44.0</td><td>7.0</td><td>7.0</td><td>253.0</td><td>258.0</td><td>1970.6</td><td>16.58</td><td>1</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>17.66</td><td>-999999500.0</td><td>1</td><td>14.74</td><td>1.0959011</td></tr>\n",
        "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
-       "<tr><td>5888400445380</td><td>1371</td><td>282564</td><td>202.612638888889</td><td>47.1861444444444</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>395.0</td><td>999.0</td><td>1982.2</td><td>-999999500.0</td><td>4</td><td>-999999500.0</td><td>0</td><td>20.65</td><td>3</td><td>18.63</td><td>20.65</td><td>0</td><td>19.85</td><td>5.858807</td></tr>\n",
-       "<tr><td>5888400445151</td><td>1371</td><td>282335</td><td>202.351194444444</td><td>47.1387361111111</td><td>4.0</td><td>12.0</td><td>0.0</td><td>12.0</td><td>23.0</td><td>324.0</td><td>1981.2</td><td>20.72</td><td>0</td><td>20.92</td><td>7</td><td>19.53</td><td>3</td><td>-999999500.0</td><td>19.53</td><td>1</td><td>-999999500.0</td><td>5.9008446</td></tr>\n",
-       "<tr><td>5888400445298</td><td>1371</td><td>282482</td><td>202.515788888889</td><td>47.1018111111111</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>394.0</td><td>190.0</td><td>1975.3</td><td>20.84</td><td>0</td><td>-999999500.0</td><td>0</td><td>17.89</td><td>1</td><td>-999999500.0</td><td>17.89</td><td>2</td><td>-999999500.0</td><td>5.915472</td></tr>\n",
-       "<tr><td>5888400445142</td><td>1371</td><td>282326</td><td>202.342727777778</td><td>47.1468222222222</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>999.0</td><td>999.0</td><td>1995.6</td><td>-999999500.0</td><td>0</td><td>21.08</td><td>4</td><td>20.49</td><td>5</td><td>17.92</td><td>20.49</td><td>0</td><td>-999999500.0</td><td>5.934256</td></tr>\n",
-       "<tr><td>5888400445376</td><td>1371</td><td>282560</td><td>202.609608333333</td><td>47.167975</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>999.0</td><td>999.0</td><td>1996.8</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>20.82</td><td>3</td><td>19.06</td><td>20.82</td><td>0</td><td>-999999500.0</td><td>5.9406395</td></tr>\n",
-       "<tr><td>5888400445150</td><td>1371</td><td>282334</td><td>202.350063888889</td><td>47.1384194444444</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>999.0</td><td>999.0</td><td>1975.3</td><td>-999999500.0</td><td>3</td><td>20.53</td><td>1</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>-999999500.0</td><td>0</td><td>19.62</td><td>5.9495263</td></tr>\n",
-       "<tr><td>5888400445175</td><td>1371</td><td>282359</td><td>202.374458333333</td><td>47.1198861111111</td><td>-54.0</td><td>296.0</td><td>13.0</td><td>13.0</td><td>352.0</td><td>352.0</td><td>1981.7</td><td>-999999500.0</td><td>3</td><td>19.74</td><td>3</td><td>20.36</td><td>1</td><td>-999999500.0</td><td>20.36</td><td>0</td><td>19.55</td><td>5.9591174</td></tr>\n",
-       "<tr><td>5892695420507</td><td>1372</td><td>290395</td><td>202.586555555556</td><td>47.2552055555556</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>783.0</td><td>999.0</td><td>1976.2</td><td>20.84</td><td>0</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>19.2</td><td>-999999500.0</td><td>2</td><td>-999999500.0</td><td>5.9714193</td></tr>\n",
-       "<tr><td>5888400445176</td><td>1371</td><td>282360</td><td>202.374952777778</td><td>47.119275</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>200.0</td><td>76.0</td><td>1979.2</td><td>20.84</td><td>2</td><td>19.89</td><td>2</td><td>18.84</td><td>10</td><td>18.56</td><td>18.84</td><td>9</td><td>19.42</td><td>5.9739494</td></tr>\n",
-       "<tr><td>5888400445139</td><td>1371</td><td>282323</td><td>202.340863888889</td><td>47.1474416666667</td><td>-34.0</td><td>-26.0</td><td>13.0</td><td>4.0</td><td>313.0</td><td>111.0</td><td>1985.0</td><td>-999999500.0</td><td>3</td><td>19.1</td><td>9</td><td>18.0</td><td>2</td><td>17.74</td><td>18.0</td><td>0</td><td>19.6</td><td>5.982718</td></tr>\n",
+       "<tr><td>5892695420407</td><td>1372</td><td>290295</td><td>202.346511111111</td><td>47.2626305555556</td><td>-74.0</td><td>-224.0</td><td>5.0</td><td>10.0</td><td>131.0</td><td>262.0</td><td>1981.2</td><td>20.84</td><td>0</td><td>21.61</td><td>8</td><td>20.78</td><td>2</td><td>-999999500.0</td><td>20.78</td><td>2</td><td>-999999500.0</td><td>5.9278975</td></tr>\n",
+       "<tr><td>5888400445219</td><td>1371</td><td>282403</td><td>202.454386111111</td><td>47.1338444444444</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>432.0</td><td>638.0</td><td>1968.9</td><td>20.26</td><td>3</td><td>19.37</td><td>2</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>-999999500.0</td><td>1</td><td>18.85</td><td>5.9284215</td></tr>\n",
+       "<tr><td>5892695420545</td><td>1372</td><td>290433</td><td>202.619261111111</td><td>47.2678111111111</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>98.0</td><td>384.0</td><td>1975.0</td><td>20.13</td><td>2</td><td>20.57</td><td>8</td><td>20.16</td><td>9</td><td>-999999500.0</td><td>20.16</td><td>8</td><td>19.32</td><td>5.938925</td></tr>\n",
+       "<tr><td>5892695420403</td><td>1372</td><td>290291</td><td>202.34095</td><td>47.2498916666667</td><td>-392.0</td><td>274.0</td><td>45.0</td><td>93.0</td><td>999.0</td><td>999.0</td><td>1981.7</td><td>20.59</td><td>0</td><td>20.82</td><td>9</td><td>20.46</td><td>9</td><td>-999999500.0</td><td>20.46</td><td>7</td><td>-999999500.0</td><td>5.948257</td></tr>\n",
+       "<tr><td>5888400445222</td><td>1371</td><td>282406</td><td>202.454719444444</td><td>47.1330666666667</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>653.0</td><td>999.0</td><td>1974.7</td><td>-999999500.0</td><td>3</td><td>17.68</td><td>2</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>-999999500.0</td><td>0</td><td>18.96</td><td>5.9713597</td></tr>\n",
+       "<tr><td>5892695420534</td><td>1372</td><td>290422</td><td>202.611647222222</td><td>47.2800583333333</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>999.0</td><td>929.0</td><td>1974.7</td><td>-999999500.0</td><td>4</td><td>21.57</td><td>5</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>-999999500.0</td><td>0</td><td>19.87</td><td>5.981086</td></tr>\n",
+       "<tr><td>5896990388281</td><td>1373</td><td>290873</td><td>202.563211111111</td><td>47.3145972222222</td><td>-400.0</td><td>174.0</td><td>401.0</td><td>35.0</td><td>999.0</td><td>183.0</td><td>1995.6</td><td>-999999500.0</td><td>0</td><td>18.32</td><td>2</td><td>19.48</td><td>8</td><td>17.77</td><td>19.48</td><td>0</td><td>-999999500.0</td><td>5.9817777</td></tr>\n",
+       "<tr><td>5896990388283</td><td>1373</td><td>290875</td><td>202.564247222222</td><td>47.3144305555556</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>868.0</td><td>255.0</td><td>1986.1</td><td>-999999500.0</td><td>1</td><td>18.56</td><td>8</td><td>17.85</td><td>9</td><td>17.41</td><td>17.85</td><td>0</td><td>18.98</td><td>5.996182</td></tr>\n",
+       "<tr><td>5888400445288</td><td>1371</td><td>282472</td><td>202.511605555556</td><td>47.1323583333333</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>34.0</td><td>999.0</td><td>1975.3</td><td>20.67</td><td>0</td><td>-999999500.0</td><td>0</td><td>20.52</td><td>2</td><td>-999999500.0</td><td>20.52</td><td>1</td><td>-999999500.0</td><td>5.997174</td></tr>\n",
        "</table></div>"
       ],
       "text/plain": [
-       "<Table length=316>\n",
+       "<Table length=274>\n",
        "    ObjID      Zone SeqNo         RA        ... B1s_g    R1Mag      distance \n",
        "                                 deg        ...           mag        arcsec  \n",
        "    int64     int32 int32      float64      ... int32   float32     float32  \n",
        "------------- ----- ------ ---------------- ... ----- ------------ ----------\n",
-       "5888400445251  1371 282435 202.472919444444 ...     0         8.98 0.13680981\n",
-       "5892695420475  1372 290363       202.494625 ...     4        15.79   1.225397\n",
-       "5892695420458  1372 290346       202.436875 ...     0        13.27  1.5814886\n",
-       "5892695420468  1372 290356 202.469830555556 ...     0        17.78  1.6813676\n",
-       "5888400445256  1371 282440 202.480638888889 ...     1         15.4  1.6839039\n",
-       "5892695420469  1372 290357         202.4706 ...     1        17.68  1.6983492\n",
-       "5892695420470  1372 290358 202.474338888889 ...     1        18.74  1.8810501\n",
-       "5888400445204  1371 282388 202.423558333333 ...     1        15.22  1.8820878\n",
-       "5888400445231  1371 282415 202.459627777778 ...     0        10.02  2.0023563\n",
+       "5892695420471  1372 290359 202.481633333333 ...     1 -999999500.0 0.19361904\n",
+       "5892695420474  1372 290362 202.493683333333 ...     0         11.0 0.44705534\n",
+       "5892695420470  1372 290358 202.474338888889 ...     1        18.74 0.47041878\n",
+       "5892695420476  1372 290364 202.495933333333 ...     3 -999999500.0  0.5886301\n",
+       "5892695420469  1372 290357         202.4706 ...     1        17.68   0.694267\n",
+       "5892695420468  1372 290356 202.469830555556 ...     0        17.78  0.7292369\n",
+       "5892695420467  1372 290355 202.464672222222 ...     1 -999999500.0  0.9163842\n",
+       "5892695420472  1372 290360 202.484227777778 ...     8        17.43  1.0651429\n",
+       "5892695420480  1372 290368       202.509975 ...     1        14.74  1.0959011\n",
        "          ...   ...    ...              ... ...   ...          ...        ...\n",
-       "5888400445380  1371 282564 202.612638888889 ...     0        19.85   5.858807\n",
-       "5888400445151  1371 282335 202.351194444444 ...     1 -999999500.0  5.9008446\n",
-       "5888400445298  1371 282482 202.515788888889 ...     2 -999999500.0   5.915472\n",
-       "5888400445142  1371 282326 202.342727777778 ...     0 -999999500.0   5.934256\n",
-       "5888400445376  1371 282560 202.609608333333 ...     0 -999999500.0  5.9406395\n",
-       "5888400445150  1371 282334 202.350063888889 ...     0        19.62  5.9495263\n",
-       "5888400445175  1371 282359 202.374458333333 ...     0        19.55  5.9591174\n",
-       "5892695420507  1372 290395 202.586555555556 ...     2 -999999500.0  5.9714193\n",
-       "5888400445176  1371 282360 202.374952777778 ...     9        19.42  5.9739494\n",
-       "5888400445139  1371 282323 202.340863888889 ...     0         19.6   5.982718"
+       "5892695420407  1372 290295 202.346511111111 ...     2 -999999500.0  5.9278975\n",
+       "5888400445219  1371 282403 202.454386111111 ...     1        18.85  5.9284215\n",
+       "5892695420545  1372 290433 202.619261111111 ...     8        19.32   5.938925\n",
+       "5892695420403  1372 290291        202.34095 ...     7 -999999500.0   5.948257\n",
+       "5888400445222  1371 282406 202.454719444444 ...     0        18.96  5.9713597\n",
+       "5892695420534  1372 290422 202.611647222222 ...     0        19.87   5.981086\n",
+       "5896990388281  1373 290873 202.563211111111 ...     0 -999999500.0  5.9817777\n",
+       "5896990388283  1373 290875 202.564247222222 ...     0        18.98   5.996182\n",
+       "5888400445288  1371 282472 202.511605555556 ...     1 -999999500.0   5.997174"
       ]
      },
      "execution_count": 6,
@@ -364,7 +361,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3b488deb",
+   "id": "29e10d97",
    "metadata": {},
    "source": [
     "### 2.3 Image search\n",
@@ -377,14 +374,14 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "2f7d55a2",
+   "id": "15b958f2",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=3</i>\n",
-       "<table id=\"table140225316336736\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table139864547974144\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ivoid</th><th>short_name</th><th>res_title</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>\n",
        "<tr><td>ivo://archive.stsci.edu/sia/galex</td><td>GALEX</td><td>Galaxy Evolution Explorer (GALEX)</td></tr>\n",
@@ -414,7 +411,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fa1c92a6",
+   "id": "df1a00fe",
    "metadata": {},
    "source": [
     "#### Search one of the services\n",
@@ -429,14 +426,14 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "cf43ba54",
+   "id": "7d23cd50",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=2</i>\n",
-       "<table id=\"table140225316337552\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table139864548745152\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>filename</th><th>id</th><th>ra_j2000</th><th>dec_j2000</th><th>url</th><th>filesize</th><th>mjdmean</th><th>naxes</th><th>naxis</th><th>scale</th><th>cd</th><th>format</th><th>ref_frame</th><th>equinox</th><th>coord_projection</th><th>crpix</th><th>crval</th><th>ctype</th><th>bandpass_id</th><th>bandpass_refvalue</th><th>bandpass_unit</th><th>bandpass_hilimit</th><th>bandpass_lolimit</th><th>processing</th><th>project</th><th>preview</th><th>representative</th><th>object_id</th></tr></thead>\n",
        "<thead><tr><th></th><th></th><th>deg</th><th>deg</th><th></th><th>byte</th><th>d</th><th></th><th>pix</th><th>deg / pix</th><th>deg / pix</th><th></th><th></th><th>yr</th><th></th><th>pix</th><th>pix</th><th></th><th></th><th>m</th><th>m</th><th>m</th><th>m</th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th><th>float64</th><th>float64</th><th>object</th><th>int32</th><th>float64</th><th>int32</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>float32</th><th>str3</th><th>object</th><th>object</th><th>object</th><th>object</th><th>float64</th><th>object</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>\n",
@@ -469,7 +466,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6ac605c1",
+   "id": "60cc5273",
    "metadata": {},
    "source": [
     "#### Download an image\n",
@@ -482,7 +479,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "7b100cd2",
+   "id": "4d519d1c",
    "metadata": {},
    "outputs": [
     {
@@ -495,7 +492,7 @@
     {
      "data": {
       "text/plain": [
-       "'/tmp/astropy-download-1958-g1z2p6ei'"
+       "'/tmp/astropy-download-1959-3zr74opr'"
       ]
      },
      "execution_count": 9,
@@ -511,7 +508,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "366ab58b",
+   "id": "93cba91e",
    "metadata": {},
    "source": [
     "### 2.4 Spectral search\n",
@@ -528,20 +525,20 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "36a71205",
+   "id": "f542c4e6",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Title: acisf00639N004_pha2.fits, Format: application/fits\n"
+      "Title: acisf00639N005_pha2.fits, Format: application/fits\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "'/tmp/astropy-download-1958-dqvk0_ek'"
+       "'/tmp/astropy-download-1959-qtx8ybxk'"
       ]
      },
      "execution_count": 10,
@@ -565,7 +562,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c3502b26",
+   "id": "4aa8e6d9",
    "metadata": {},
    "source": [
     "### 2.5 Table search\n",
@@ -576,7 +573,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "847861ea",
+   "id": "d0260f35",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -598,7 +595,8 @@
       "The Xamin interface provides access to over 600 observation and object tables.\n",
       "This includes observation tables for more than 30 missions and observatories\n",
       "and hundreds of derived object tables. Non-high energy tables are included to\n",
-      "make it easier for users to compare information.\n",
+      "make it easier for users to compare information. This is a service provided by\n",
+      "NASA HEASARC.\n",
       "\n",
       "Waveband Coverage:\n",
       "None\n"
@@ -614,7 +612,7 @@
       "TAP_SCHEMA.keys                - Joins between tables -- unused\n",
       "TAP_SCHEMA.schemas             - Available schemas\n",
       "TAP_SCHEMA.tables              - Available tables\n",
-      "first                          - None\n",
+      "\"first\"                        - Faint Images of the Radio Sky at Twenty cm (FIRST)\n",
       "a1                             - HEAO 1 A1 X-Ray Source Catalog\n",
       "a1point                        - HEAO 1 A1 Lightcurves\n",
       "a2lcpoint                      - HEAO 1 A2 Pointed Lightcurves\n",
@@ -1493,7 +1491,13 @@
       "uit                            - Ultraviolet Imaging Telescope Near-UV Bright Objects Catalog\n",
       "uitmaster                      - Ultraviolet Imaging Telescope Master Catalog\n",
       "ulxngcat                       - Ultraluminous X-Ray Sources in Nearby Galaxies Catalog\n",
-      "ulxrbcat                       - Ultraluminous X-Ray Sources in External Galaxies Catalog\n",
+      "ulxrbcat                       - Ultraluminous X-Ray Sources in External Galaxies Catalog\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "upprscoxmm                     - Upper Sco XMM-Newton X-Ray Point Source Catalog\n",
       "uvotbscat                      - UVOT Bright Star Catalog\n",
       "uvqs                           - UV-Bright Quasar Survey (UVQS) DR1 Catalog\n",
@@ -1507,13 +1511,7 @@
       "vlacdfscat                     - VLA Survey of Chandra Deep Field South\n",
       "vlacomacat                     - VLA Coma Cluster of Galaxies 1.4-GHz Source Catalog\n",
       "vlacos324m                     - VLA-COSMOS Survey 324-MHz Continuum Source Catalog\n",
-      "vlacos3ghz                     - VLA-COSMOS 3-GHz Large Project Source Catalog\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "vlacos3ghz                     - VLA-COSMOS 3-GHz Large Project Source Catalog\n",
       "vlacosmjsc                     - VLA-COSMOS Project 1.4-GHz Joint Source Catalog\n",
       "vlacosmos                      - VLA-COSMOS Large Project 1.4-GHz Source Catalog\n",
       "vlacosxoid                     - VLA-COSMOS 3-GHz Large Project Multiwavelength Counterparts Cata\n",
@@ -1605,7 +1603,7 @@
       "xmmslewcln                     - XMM-Newton Slew Survey Clean Source Catalog, v2.0\n",
       "xmmslewegs                     - XMM-Newton Slew Survey Extragalactic Sample\n",
       "xmmslewful                     - XMM-Newton Slew Survey Full Source Catalog, v2.0\n",
-      "xmmssc                         - XMM-Newton Serendipitous Source Catalog (4XMM-DR13 Version)\n",
+      "xmmssc                         - XMM-Newton Serendipitous Source Catalog (4XMM-DR14 Version)\n",
       "xmmsscgps                      - XMM-Newton Survey Science Center Survey of the Galactic Plane\n",
       "xmmssclwbd                     - XMM-Newton 2XMMi-DR3 Selected Source Detections Catalog\n",
       "xmmssclwbs                     - XMM-Newton 2XMMi-DR3 Selected Source Classifications Catalog\n",
@@ -1653,7 +1651,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d3e6a109",
+   "id": "3ea35290",
    "metadata": {},
    "source": [
     "#### Column Information\n",
@@ -1664,42 +1662,42 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "b8f61748",
+   "id": "94369baf",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "distance                       - Distance Determined by Independent Source (Mpc)\n",
+      "structure                      - Structure Flag\n",
+      "rfn_number                     - Plate Number\n",
       "ra                             - Right Ascension\n",
-      "__x_ra_dec                     - System unit vector column\n",
-      "class                          - Browse Object Classification\n",
-      "__z_ra_dec                     - System unit vector column\n",
-      "bt_mag                         - B_T Magnitude\n",
-      "comments                       - Comments\n",
-      "luminosity_class               - Luminosity Class\n",
-      "dec                            - Declination\n",
+      "ugc_or_eso                     - UGC or ESO Number\n",
+      "diameter_1                     - Diameter 1 (arcmin)\n",
+      "\"__z_ra_dec\"                   - System unit vector column\n",
+      "name                           - Catalog Designation\n",
+      "lii                            - Galactic Longitude\n",
       "bar_type                       - Bar Type\n",
-      "radial_velocity                - Heliocentric Radial Velocity (km/s)\n",
+      "\"__row\"                        - System index column\n",
+      "\"__y_ra_dec\"                   - System unit vector column\n",
       "ref_bmag                       - Reference Code for B Magnitude\n",
-      "bii                            - Galactic Latitude\n",
-      "__y_ra_dec                     - System unit vector column\n",
-      "name                           - Catalog Designation\n",
       "ref_redshift                   - Reference Code for Redshift\n",
-      "radial_velocity_error          - Radial Velocity Error\n",
+      "dec                            - Declination\n",
       "diameter_2                     - Diameter 2 (arcmin)\n",
-      "bmag                           - B Magnitude\n",
-      "morph_type                     - Morphological (T) Type\n",
-      "lii                            - Galactic Longitude\n",
-      "ugc_or_eso                     - UGC or ESO Number\n",
-      "structure                      - Structure Flag\n",
-      "ref_radial_velocity            - Reference Code for Radial Velocity\n",
+      "comments                       - Comments\n",
       "notes                          - Diameter (arcmin) or Spectrum ID\n",
-      "rfn_number                     - Plate Number\n",
-      "diameter_1                     - Diameter 1 (arcmin)\n",
       "redshift                       - Redshift\n",
-      "__row                          - System index column\n"
+      "radial_velocity_error          - Radial Velocity Error\n",
+      "bt_mag                         - B_T Magnitude\n",
+      "bii                            - Galactic Latitude\n",
+      "ref_radial_velocity            - Reference Code for Radial Velocity\n",
+      "morph_type                     - Morphological (T) Type\n",
+      "radial_velocity                - Heliocentric Radial Velocity (km/s)\n",
+      "\"distance\"                     - Distance Determined by Independent Source (Mpc)\n",
+      "\"__x_ra_dec\"                   - System unit vector column\n",
+      "class                          - Browse Object Classification\n",
+      "bmag                           - B Magnitude\n",
+      "luminosity_class               - Luminosity Class\n"
      ]
     }
    ],
@@ -1710,7 +1708,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3f6ff281",
+   "id": "adfddb17",
    "metadata": {},
    "source": [
     "#### Perform a Query\n",
@@ -1721,14 +1719,14 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "40044e32",
+   "id": "247b71df",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=13</i>\n",
-       "<table id=\"table140225317616800\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table139864543829088\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ra</th><th>dec</th><th>radial_velocity</th><th>radial_velocity_error</th><th>bmag</th><th>morph_type</th></tr></thead>\n",
        "<thead><tr><th>deg</th><th>deg</th><th>km / s</th><th>km / s</th><th></th><th></th></tr></thead>\n",
        "<thead><tr><th>float64</th><th>float64</th><th>int32</th><th>int16</th><th>float32</th><th>int16</th></tr></thead>\n",
@@ -1786,7 +1784,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5f9b9cc8",
+   "id": "168ed5f6",
    "metadata": {},
    "source": [
     "## 3. Astroquery\n",
@@ -1816,37 +1814,36 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "88f66296",
+   "id": "261e7d8a",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=41</i>\n",
-       "<table id=\"table140224823049952\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table139864544236720\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>No.</th><th>Object Name</th><th>RA</th><th>DEC</th><th>Type</th><th>Velocity</th><th>Redshift</th><th>Redshift Flag</th><th>Magnitude and Filter</th><th>Separation</th><th>References</th><th>Notes</th><th>Photometry Points</th><th>Positions</th><th>Redshift Points</th><th>Diameter Points</th><th>Associations</th></tr></thead>\n",
        "<thead><tr><th></th><th></th><th>degrees</th><th>degrees</th><th></th><th>km / s</th><th></th><th></th><th></th><th>arcmin</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
        "<thead><tr><th>int32</th><th>str30</th><th>float64</th><th>float64</th><th>object</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>float64</th><th>int32</th><th>int32</th><th>int32</th><th>int32</th><th>int32</th><th>int32</th><th>int32</th></tr></thead>\n",
-       "<tr><td>1</td><td>WISEA J115844.06+273505.3</td><td>179.68371</td><td>27.585</td><td>G</td><td>106.0</td><td>0.000354</td><td>SLS</td><td>17.2g</td><td>--</td><td>27</td><td>0</td><td>22</td><td>12</td><td>7</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>2</td><td>KUG 1207+367</td><td>182.48529</td><td>36.43433</td><td>G</td><td>341.0</td><td>0.001137</td><td>SUN</td><td>15.5</td><td>--</td><td>38</td><td>0</td><td>28</td><td>17</td><td>7</td><td>4</td><td>0</td></tr>\n",
-       "<tr><td>3</td><td>NGC 4244</td><td>184.37358</td><td>37.80711</td><td>G</td><td>244.0</td><td>0.000815</td><td>SUN</td><td>10.88</td><td>--</td><td>469</td><td>15</td><td>94</td><td>52</td><td>25</td><td>7</td><td>1</td></tr>\n",
+       "<tr><td>1</td><td>WISEA J115844.06+273505.3</td><td>179.68371</td><td>27.585</td><td>G</td><td>106.0</td><td>0.000354</td><td>SLS</td><td>17.2g</td><td>--</td><td>28</td><td>0</td><td>22</td><td>14</td><td>7</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>2</td><td>KUG 1207+367</td><td>182.48529</td><td>36.43433</td><td>G</td><td>341.0</td><td>0.001137</td><td>SUN</td><td>15.5</td><td>--</td><td>39</td><td>0</td><td>28</td><td>18</td><td>7</td><td>4</td><td>0</td></tr>\n",
+       "<tr><td>3</td><td>NGC 4244</td><td>184.37358</td><td>37.80711</td><td>G</td><td>244.0</td><td>0.000815</td><td>SUN</td><td>10.88</td><td>--</td><td>470</td><td>15</td><td>94</td><td>52</td><td>25</td><td>7</td><td>1</td></tr>\n",
        "<tr><td>4</td><td>SDSS J121731.98+323157.7</td><td>184.38329</td><td>32.53271</td><td>G</td><td>447.0</td><td>0.001492</td><td>SLS</td><td>17.95</td><td>--</td><td>6</td><td>0</td><td>15</td><td>6</td><td>2</td><td>4</td><td>0</td></tr>\n",
-       "<tr><td>5</td><td>SDSS J121811.04+465501.2</td><td>184.54614</td><td>46.91685</td><td>G</td><td>402.0</td><td>0.001341</td><td>SLS</td><td>17.75</td><td>--</td><td>20</td><td>0</td><td>37</td><td>18</td><td>11</td><td>4</td><td>0</td></tr>\n",
-       "<tr><td>6</td><td>VCC 0530</td><td>185.53154</td><td>15.79911</td><td>G</td><td>1299.0</td><td>0.004333</td><td>SUN</td><td>15.8</td><td>--</td><td>67</td><td>1</td><td>20</td><td>23</td><td>13</td><td>3</td><td>3</td></tr>\n",
-       "<tr><td>7</td><td>PGC1 0040692 NED033</td><td>186.37146</td><td>28.48244</td><td>G</td><td>483.0</td><td>0.001611</td><td>SUN</td><td>16.47</td><td>--</td><td>39</td><td>0</td><td>7</td><td>14</td><td>8</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>5</td><td>SDSS J121811.04+465501.2</td><td>184.54614</td><td>46.91685</td><td>G</td><td>402.0</td><td>0.001341</td><td>SLS</td><td>17.75</td><td>--</td><td>21</td><td>0</td><td>37</td><td>19</td><td>11</td><td>4</td><td>0</td></tr>\n",
+       "<tr><td>6</td><td>VCC 0530</td><td>185.53154</td><td>15.79911</td><td>G</td><td>1299.0</td><td>0.004333</td><td>SUN</td><td>15.8</td><td>--</td><td>68</td><td>1</td><td>20</td><td>24</td><td>13</td><td>3</td><td>3</td></tr>\n",
+       "<tr><td>7</td><td>PGC1 0040692 NED033</td><td>186.37146</td><td>28.48244</td><td>G</td><td>483.0</td><td>0.001611</td><td>SUN</td><td>16.47</td><td>--</td><td>40</td><td>0</td><td>7</td><td>15</td><td>8</td><td>0</td><td>0</td></tr>\n",
        "<tr><td>8</td><td>UGC 07512</td><td>186.42223</td><td>2.15898</td><td>G</td><td>1505.0</td><td>0.00502</td><td>SUN</td><td>15.00</td><td>--</td><td>64</td><td>1</td><td>21</td><td>17</td><td>12</td><td>4</td><td>0</td></tr>\n",
-       "<tr><td>9</td><td>NGC 4395</td><td>186.45359</td><td>33.54693</td><td>G</td><td>319.0</td><td>0.001064</td><td>SUN</td><td>10.64</td><td>--</td><td>860</td><td>31</td><td>210</td><td>101</td><td>58</td><td>17</td><td>0</td></tr>\n",
+       "<tr><td>9</td><td>NGC 4395</td><td>186.45359</td><td>33.54693</td><td>G</td><td>319.0</td><td>0.001064</td><td>SUN</td><td>10.64</td><td>--</td><td>868</td><td>31</td><td>210</td><td>103</td><td>59</td><td>17</td><td>0</td></tr>\n",
        "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
-       "<tr><td>32</td><td>NGC 4789A</td><td>193.52187</td><td>27.14964</td><td>G</td><td>364.0</td><td>0.001214</td><td>S1L</td><td>13.94</td><td>--</td><td>436</td><td>8</td><td>114</td><td>50</td><td>22</td><td>8</td><td>0</td></tr>\n",
-       "<tr><td>33</td><td>LSBC D575-05</td><td>193.921</td><td>19.20908</td><td>G</td><td>419.0</td><td>0.001396</td><td>S1L</td><td>16.52</td><td>--</td><td>44</td><td>1</td><td>2</td><td>16</td><td>8</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>34</td><td>MESSIER 064</td><td>194.18184</td><td>21.68297</td><td>G</td><td>409.0</td><td>0.001364</td><td>S1L</td><td>9.36</td><td>--</td><td>818</td><td>24</td><td>298</td><td>90</td><td>32</td><td>10</td><td>0</td></tr>\n",
-       "<tr><td>35</td><td>UGC 08061</td><td>194.1835</td><td>11.93203</td><td>G</td><td>569.0</td><td>0.001898</td><td>UUN</td><td>15.5B</td><td>--</td><td>47</td><td>2</td><td>15</td><td>19</td><td>13</td><td>3</td><td>5</td></tr>\n",
+       "<tr><td>33</td><td>LSBC D575-05</td><td>193.921</td><td>19.20908</td><td>G</td><td>419.0</td><td>0.001396</td><td>S1L</td><td>16.52</td><td>--</td><td>45</td><td>1</td><td>2</td><td>17</td><td>8</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>34</td><td>MESSIER 064</td><td>194.18184</td><td>21.68297</td><td>G</td><td>409.0</td><td>0.001364</td><td>S1L</td><td>9.36</td><td>--</td><td>827</td><td>24</td><td>298</td><td>91</td><td>32</td><td>10</td><td>0</td></tr>\n",
+       "<tr><td>35</td><td>UGC 08061</td><td>194.1835</td><td>11.93203</td><td>G</td><td>569.0</td><td>0.001898</td><td>UUN</td><td>15.5B</td><td>--</td><td>48</td><td>2</td><td>15</td><td>20</td><td>13</td><td>3</td><td>5</td></tr>\n",
        "<tr><td>36</td><td>KK 176</td><td>194.98458</td><td>-19.41306</td><td>G</td><td>825.0</td><td>0.002753</td><td>SUN</td><td>17.5</td><td>--</td><td>31</td><td>0</td><td>19</td><td>13</td><td>9</td><td>2</td><td>0</td></tr>\n",
        "<tr><td>37</td><td>UGCA 319</td><td>195.55994</td><td>-17.23754</td><td>G</td><td>755.0</td><td>0.002518</td><td>UUN</td><td>15.33</td><td>--</td><td>68</td><td>2</td><td>46</td><td>26</td><td>8</td><td>3</td><td>0</td></tr>\n",
-       "<tr><td>38</td><td>IC 4107</td><td>195.67446</td><td>21.99739</td><td>G</td><td>267.0</td><td>0.000892</td><td>SLS</td><td>17.4g</td><td>--</td><td>20</td><td>0</td><td>20</td><td>11</td><td>5</td><td>4</td><td>0</td></tr>\n",
-       "<tr><td>39</td><td>UGCA 320</td><td>195.81975</td><td>-17.42303</td><td>G</td><td>742.0</td><td>0.002475</td><td>UUN</td><td>13.78</td><td>--</td><td>119</td><td>7</td><td>64</td><td>27</td><td>13</td><td>6</td><td>0</td></tr>\n",
+       "<tr><td>38</td><td>IC 4107</td><td>195.67446</td><td>21.99739</td><td>G</td><td>267.0</td><td>0.000892</td><td>SLS</td><td>17.4g</td><td>--</td><td>21</td><td>0</td><td>20</td><td>12</td><td>5</td><td>4</td><td>0</td></tr>\n",
+       "<tr><td>39</td><td>UGCA 320</td><td>195.81975</td><td>-17.42303</td><td>G</td><td>742.0</td><td>0.002475</td><td>UUN</td><td>13.78</td><td>--</td><td>120</td><td>7</td><td>64</td><td>27</td><td>13</td><td>6</td><td>0</td></tr>\n",
        "<tr><td>40</td><td>KDG 218</td><td>196.43278</td><td>-7.75884</td><td>G</td><td>--</td><td>--</td><td></td><td>20.35</td><td>--</td><td>12</td><td>0</td><td>1</td><td>7</td><td>0</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>41</td><td>NGC 5068</td><td>199.72837</td><td>-21.03911</td><td>G</td><td>670.0</td><td>0.002235</td><td>UUN</td><td>10.52</td><td>--</td><td>304</td><td>12</td><td>72</td><td>43</td><td>15</td><td>18</td><td>0</td></tr>\n",
+       "<tr><td>41</td><td>NGC 5068</td><td>199.72837</td><td>-21.03911</td><td>G</td><td>670.0</td><td>0.002235</td><td>UUN</td><td>10.52</td><td>--</td><td>310</td><td>12</td><td>72</td><td>44</td><td>15</td><td>18</td><td>0</td></tr>\n",
        "</table></div>"
       ],
       "text/plain": [
@@ -1865,7 +1862,6 @@
        "    8                 UGC 07512  186.42223 ...               4            0\n",
        "    9                  NGC 4395  186.45359 ...              17            0\n",
        "  ...                       ...        ... ...             ...          ...\n",
-       "   32                 NGC 4789A  193.52187 ...               8            0\n",
        "   33              LSBC D575-05    193.921 ...               0            0\n",
        "   34               MESSIER 064  194.18184 ...              10            0\n",
        "   35                 UGC 08061   194.1835 ...               3            5\n",
@@ -1914,7 +1910,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.10.14"
   },
   "source_map": [
    13,
diff --git a/_sources/content/reference_notebooks/catalog_queries.ipynb b/_sources/content/reference_notebooks/catalog_queries.ipynb
index 6ecdaac..1cc1e14 100644
--- a/_sources/content/reference_notebooks/catalog_queries.ipynb
+++ b/_sources/content/reference_notebooks/catalog_queries.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "c760ca98",
+   "id": "c76d4f55",
    "metadata": {},
    "source": [
     "# Catalog Queries\n",
@@ -29,7 +29,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "0e69e045",
+   "id": "6001c7f6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -55,7 +55,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d2c4cd37",
+   "id": "4ef67f38",
    "metadata": {},
    "source": [
     "## 1. Simple cone search"
@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8da9c425",
+   "id": "8e2b39dd",
    "metadata": {},
    "source": [
     "Starting with a single simple source first:"
@@ -72,7 +72,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "f9d8bff3",
+   "id": "72d65362",
    "metadata": {},
    "outputs": [
     {
@@ -80,7 +80,7 @@
      "output_type": "stream",
      "text": [
       "<SkyCoord (ICRS): (ra, dec) in deg\n",
-      "    (202.469575, 47.1952583)>\n"
+      "    (202.484167, 47.230556)>\n"
      ]
     }
    ],
@@ -91,7 +91,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4b8afd23",
+   "id": "d8af92d5",
    "metadata": {},
    "source": [
     "Below, we go through the exercise of how we can figure out the most relevant table. But for now, let's assume that we know that we want the CFA redshift catalog refered to as 'zcat'. VO services are listed in a central Registry that can be searched through a [web interface](http://vao.stsci.edu/keyword-search/) or using PyVO's `regsearch`.  We use the registry to find the corresponding cone service and then submit our cone search.\n",
@@ -109,14 +109,14 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "adfd6be4",
+   "id": "58dd8104",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=6</i>\n",
-       "<table id=\"table139859596846432\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140505586338160\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ivoid</th><th>short_name</th><th>res_title</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>\n",
        "<tr><td>ivo://cds.vizier/j/mnras/339/652</td><td>J/MNRAS/339/652</td><td>The FLASH Redshift Survey</td></tr>\n",
@@ -152,7 +152,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "01650809",
+   "id": "9e8db3d2",
    "metadata": {},
    "source": [
     "Supposing that we want the table with the short_name CFAZ, and we want to retrieve the data for all sources within an arcminute of our specified location:"
@@ -161,19 +161,19 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "68db1c53",
+   "id": "7364c4d4",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=2</i>\n",
-       "<table id=\"table139859595405360\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140505584883248\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>__row</th><th>name</th><th>ra</th><th>dec</th><th>bmag</th><th>radial_velocity</th><th>radial_velocity_error</th><th>redshift</th><th>class</th><th>Search_Offset</th></tr></thead>\n",
        "<thead><tr><th></th><th></th><th>deg</th><th>deg</th><th></th><th>km / s</th><th>km / s</th><th></th><th></th><th></th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float32</th><th>int32</th><th>int16</th><th>float64</th><th>int16</th><th>float64</th></tr></thead>\n",
-       "<tr><td>52427</td><td>N5194</td><td>202.46823</td><td>47.19815</td><td>9.03</td><td>474</td><td>23</td><td>--</td><td>6200</td><td>0.1819</td></tr>\n",
-       "<tr><td>52452</td><td>N5195</td><td>202.49491</td><td>47.26792</td><td>10.94</td><td>558</td><td>23</td><td>--</td><td>6200</td><td>4.4802</td></tr>\n",
+       "<tr><td>52427</td><td>N5194</td><td>202.46823</td><td>47.19815</td><td>9.03</td><td>474</td><td>23</td><td>--</td><td>6200</td><td>2.0500</td></tr>\n",
+       "<tr><td>52452</td><td>N5195</td><td>202.49491</td><td>47.26792</td><td>10.94</td><td>558</td><td>23</td><td>--</td><td>6200</td><td>2.2841</td></tr>\n",
        "</table></div>"
       ],
       "text/plain": [
@@ -182,8 +182,8 @@
        "                 deg      deg    ...                             \n",
        "object object  float64  float64  ... float64  int16    float64   \n",
        "------ ------ --------- -------- ... -------- ----- -------------\n",
-       " 52427  N5194 202.46823 47.19815 ...       --  6200        0.1819\n",
-       " 52452  N5195 202.49491 47.26792 ...       --  6200        4.4802"
+       " 52427  N5194 202.46823 47.19815 ...       --  6200        2.0500\n",
+       " 52452  N5195 202.49491 47.26792 ...       --  6200        2.2841"
       ]
      },
      "execution_count": 4,
@@ -203,7 +203,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "030ffb6c",
+   "id": "70ec49c8",
    "metadata": {},
    "source": [
     "The SCS is quite straightforward and returns all of the columns of the given table (which can be anything) for the sources in the region queried."
@@ -211,7 +211,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b83e8a1a",
+   "id": "f07814a7",
    "metadata": {},
    "source": [
     "## 2. Table Access Protocol queries\n",
@@ -221,7 +221,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0971b2f4",
+   "id": "a8f4ab1b",
    "metadata": {},
    "source": [
     "### 2.1 TAP services\n",
@@ -233,7 +233,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "76e76668",
+   "id": "07d19ad7",
    "metadata": {},
    "source": [
     "As before, we use the `vo.regsearch()` for a servicetype 'tap'.  There are a lot of TAP services in the registry, but they are listed slightly differently than cone services.  The metadata on each catalog is usually published in the registry with its cone service, and then the full TAP service is listed as an \"auxiliary\" service.  So to find a TAP service for a given catalog, we need to add the option *includeaux=True*. Alternatively, you can start with a single TAP service and then ask it specifically which tables it serves, but for this use case, that is less efficient.\n",
@@ -244,14 +244,14 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "198f5750",
+   "id": "081168c4",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=20</i>\n",
-       "<table id=\"table139859592459840\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140506515858448\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ivoid</th><th>short_name</th><th>res_title</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>\n",
        "<tr><td>ivo://cds.vizier/j/a+a/408/905</td><td>J/A+A/408/905</td><td>Very Luminous Galaxies</td></tr>\n",
@@ -315,7 +315,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "90ab033a",
+   "id": "3ca3e8a7",
    "metadata": {},
    "source": [
     "There are many tables that mention these keywords. Pick some likely looking ones and look at the descriptions:"
@@ -324,7 +324,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "32f41802",
+   "id": "15273397",
    "metadata": {},
    "outputs": [
     {
@@ -339,9 +339,9 @@
       "\n",
       "ivo://cds.vizier/vii/84a:  The catalog contains statistically homogeneous groups of galaxies based on the Harvard-Smithsonian Center for Astrophysics (CfA) redshift survey. Groups in the catalog are all density enhancements in redshift space of a factor greater than 20. All groups contain at least three members. There are 176 groups in the catalog and 102 groups have been identified in one or more previous studies. The catalog includes group numbers, numbers of members, equatorial coordinates, mean flow-corrected galactocentric velocities, line-of-sight-velocity dispersion, integrated group magnitudes, crossing times for the groups, and mean harmonic radii of the groups.\n",
       "\n",
-      "ivo://nasa.heasarc/cfa2s:  The Center for Astrophysics (CfA) Redshift Survey South Galactic Cap (CFA2S) Catalog contains redshifts for a sample of about 4300 galaxies with blue (Zwicky B(0) type) magnitude &lt;= 15.5 covering the range from 20 h to 4h in right ascension and from -2.5 deg to 90 deg in declination. This sample is complete for all galaxies in the merge of the Zwicky et al. and Nilson catalogs in the south Galactic cap. Redshifts for 2964 of these were measured as part of the second CfA Redshift Survey. The data reveal large voids in the foreground and background of the Perseus-Pisces Supercluster. The largest of these voids lies at a mean velocity ~ 8000km/s, has diameter of ~ 5000km/s, and is enclosed by a complex of dense structures. The large structure known as the Perseus-Pisces Supercluster forms the near side of this complex. On the far side of this large void, at a mean velocity of ~ 12000km/s, there is another coherent dense wall. The structures in this survey support the view that galaxies generally lie on surfaces surrounding or nearly surrounding low-density regions or voids.\n",
+      "ivo://nasa.heasarc/cfa2s:  The Center for Astrophysics (CfA) Redshift Survey South Galactic Cap (CFA2S) Catalog contains redshifts for a sample of about 4300 galaxies with blue (Zwicky B(0) type) magnitude &lt;= 15.5 covering the range from 20 h to 4h in right ascension and from -2.5 deg to 90 deg in declination. This sample is complete for all galaxies in the merge of the Zwicky et al. and Nilson catalogs in the south Galactic cap. Redshifts for 2964 of these were measured as part of the second CfA Redshift Survey. The data reveal large voids in the foreground and background of the Perseus-Pisces Supercluster. The largest of these voids lies at a mean velocity ~ 8000km/s, has diameter of ~ 5000km/s, and is enclosed by a complex of dense structures. The large structure known as the Perseus-Pisces Supercluster forms the near side of this complex. On the far side of this large void, at a mean velocity of ~ 12000km/s, there is another coherent dense wall. The structures in this survey support the view that galaxies generally lie on surfaces surrounding or nearly surrounding low-density regions or voids. This table was created by the HEASARC in March 2005 based on CDS table J/ApJS/121/287/cfa2s.dat.gz This is a service provided by NASA HEASARC .\n",
       "\n",
-      "ivo://nasa.heasarc/zcat:  The ZCAT database contains the CfA Redshift Catalog, which incorporates much of the latest velocity data from the Whipple Observatory and other sources, as well as velocities from earlier compilations such as the &quot;Second Reference Catalog&quot; of de Vaucouleurs, de Vaucouleurs, and Corwin; the &quot;Index of Galaxy Spectra&quot; of Gisler and Friel; and the &quot;Catalog of Radial Velocities of Galaxies&quot; of Palumbo, Tanzella-Nitti, and Vettolani. It includes BT magnitudes, some UGC numbers, and increased &quot;accuracy&quot; in the velocity source information. The data presented here have primarily been assembled for the purpose of studying the large scale structure of the universe, and, as such, are nearly complete in redshift information, but are not necessarily complete in such categories as diameter, magnitude, and cross-references to other catalogues.\n",
+      "ivo://nasa.heasarc/zcat:  The ZCAT database contains the CfA Redshift Catalog, which incorporates much of the latest velocity data from the Whipple Observatory and other sources, as well as velocities from earlier compilations such as the &quot;Second Reference Catalog&quot; of de Vaucouleurs, de Vaucouleurs, and Corwin; the &quot;Index of Galaxy Spectra&quot; of Gisler and Friel; and the &quot;Catalog of Radial Velocities of Galaxies&quot; of Palumbo, Tanzella-Nitti, and Vettolani. It includes BT magnitudes, some UGC numbers, and increased &quot;accuracy&quot; in the velocity source information. The data presented here have primarily been assembled for the purpose of studying the large scale structure of the universe, and, as such, are nearly complete in redshift information, but are not necessarily complete in such categories as diameter, magnitude, and cross-references to other catalogues. The original HEASARC version was constructed based on an earlier version of the catalog and was released on November 15, 1996. The HEASARC created the current version of ZCAT in February 2001 based on CDS/ADC Catalog VII/193, &quot;The CfA Redshift Catalogue&quot;, Version June 1995, tables &lt;a href=\"https://cdsarc.cds.unistra.fr/ftp/cats/VII/193/zcat.dat\"&gt;https://cdsarc.cds.unistra.fr/ftp/cats/VII/193/zcat.dat&lt;/a&gt; and zbig.dat. The former table contains the main body of the CFA Redshift Catalog (57536 objects) and entries from it are distinguishable in the current database by having either listed radial velocity values but not redshifts or neither, while the latter table contains 1202 high-redshift galaxies (distinguishable in the current database by their having listed redshift values but not radial velocities). This is a service provided by NASA HEASARC .\n",
       "\n"
      ]
     }
@@ -354,7 +354,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ef061c99",
+   "id": "ca7dd9e8",
    "metadata": {},
    "source": [
     "From the above information, you can choose the table you want and then use the specified TAP service to query it as described below.\n",
@@ -364,7 +364,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7034f42d",
+   "id": "0eb4a7fc",
    "metadata": {},
    "source": [
     "You can find out which tables a TAP serves and then look at the tables descriptions. The last line here sends a query directly to the service to ask it for a list of tables.  (This can take a minute, since there may be a lot of tables.)"
@@ -373,7 +373,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "b2af985a",
+   "id": "fe89d076",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -385,7 +385,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "74bbbbd1",
+   "id": "b3dbfa45",
    "metadata": {},
    "source": [
     "Then let's look for tables matching the terms we're interested in as above."
@@ -394,7 +394,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "28d9f5c0",
+   "id": "59510a84",
    "metadata": {},
    "outputs": [
     {
@@ -404,62 +404,62 @@
       "abellzcat\n",
       "    Abell Clusters Measured Redshifts Catalog\n",
       "\n",
-      "Columns=['__row', '__x_ra_dec', '__y_ra_dec', '__z_ra_dec', 'abell_distance_class', 'abell_radius', 'abell_richness_class', 'bautz_morgan_class', 'bautz_morgan_flag', 'bii', 'class', 'dec', 'lii', 'log_redshift_ratio', 'mag_10', 'name', 'ra', 'redshift', 'redshift_flag', 'ref_redshift']\n",
+      "Columns=['\"__row\"', '\"__x_ra_dec\"', '\"__y_ra_dec\"', '\"__z_ra_dec\"', 'abell_distance_class', 'abell_radius', 'abell_richness_class', 'bautz_morgan_class', 'bautz_morgan_flag', 'bii', 'class', 'dec', 'lii', 'log_redshift_ratio', 'mag_10', 'name', 'ra', 'redshift', 'redshift_flag', 'ref_redshift']\n",
       "----\n",
       "atlasspecz\n",
       "    AT Large Area Survey (ATLAS) Spectroscopic Classes & Redshifts C\n",
       "\n",
-      "Columns=['__row', '__x_ra_dec', '__y_ra_dec', '__z_ra_dec', 'abs_rmag', 'bii', 'bmag', 'broad_type', 'dec', 'flux_1p4_ghz', 'lii', 'log_lum_1p4_ghz', 'name', 'ra', 'redshift', 'rmag', 'source_id']\n",
+      "Columns=['\"__row\"', '\"__x_ra_dec\"', '\"__y_ra_dec\"', '\"__z_ra_dec\"', 'abs_rmag', 'bii', 'bmag', 'broad_type', 'dec', 'flux_1p4_ghz', 'lii', 'log_lum_1p4_ghz', 'name', 'ra', 'redshift', 'rmag', 'source_id']\n",
       "----\n",
       "ccosmphotz\n",
       "    Chandra COSMOS (C-COSMOS) Survey Photometric Redshift Catalog\n",
       "\n",
-      "Columns=['__row', '__x_ra_dec', '__y_ra_dec', '__z_ra_dec', 'best_fit_template', 'bii', 'dec', 'ilbert_source_number', 'lii', 'morph_class', 'name', 'phot_redshift', 'phot_redshift_max', 'phot_redshift_min', 'ra', 'redshift_pdf', 'source_number', 'variability']\n",
+      "Columns=['\"__row\"', '\"__x_ra_dec\"', '\"__y_ra_dec\"', '\"__z_ra_dec\"', 'best_fit_template', 'bii', 'dec', 'ilbert_source_number', 'lii', 'morph_class', 'name', 'phot_redshift', 'phot_redshift_max', 'phot_redshift_min', 'ra', 'redshift_pdf', 'source_number', 'variability']\n",
       "----\n",
       "cfa2s\n",
       "    CfA Redshift Survey: South Galactic Cap Data\n",
       "\n",
-      "Columns=['__row', '__x_ra_dec', '__y_ra_dec', '__z_ra_dec', 'bar_type', 'bii', 'bmag', 'class', 'dec', 'lii', 'luminosity_class', 'major_axis', 'minor_axis', 'morph_type', 'name', 'notes', 'peculiar_type', 'ra', 'radial_velocity', 'radial_velocity_error', 'ref_bmag', 'ref_radial_velocity', 'ugc_multiplicity', 'ugc_number']\n",
+      "Columns=['\"__row\"', '\"__x_ra_dec\"', '\"__y_ra_dec\"', '\"__z_ra_dec\"', 'bar_type', 'bii', 'bmag', 'class', 'dec', 'lii', 'luminosity_class', 'major_axis', 'minor_axis', 'morph_type', 'name', 'notes', 'peculiar_type', 'ra', 'radial_velocity', 'radial_velocity_error', 'ref_bmag', 'ref_radial_velocity', 'ugc_multiplicity', 'ugc_number']\n",
       "----\n",
       "iraspscz\n",
       "    IRAS Point Source Catalog Redshift (PSCz) Catalog\n",
       "\n",
-      "Columns=['__row', '__x_ra_dec', '__y_ra_dec', '__z_ra_dec', 'alt_name', 'bii', 'class', 'dec', 'flux_60um', 'hex_hsd_flag', 'lii', 'lune_bin_100_um_bck', 'lune_bin_bmag_extinction', 'lune_bin_number', 'name', 'number_hcon_coverages', 'optical_class_code', 'ra', 'radial_velocity', 'radial_velocity_error', 'ratio_100_to_60_um_flux', 'redshift_status', 'ref_radial_velocity', 'source_sample', 'source_type']\n",
+      "Columns=['\"__row\"', '\"__x_ra_dec\"', '\"__y_ra_dec\"', '\"__z_ra_dec\"', 'alt_name', 'bii', 'class', 'dec', 'flux_60um', 'hex_hsd_flag', 'lii', 'lune_bin_100_um_bck', 'lune_bin_bmag_extinction', 'lune_bin_number', 'name', 'number_hcon_coverages', 'optical_class_code', 'ra', 'radial_velocity', 'radial_velocity_error', 'ratio_100_to_60_um_flux', 'redshift_status', 'ref_radial_velocity', 'source_sample', 'source_type']\n",
       "----\n",
       "iraszsurv\n",
       "    IRAS 1.2-Jy Redshift Survey\n",
       "\n",
-      "Columns=['__row', '__x_ra_dec', '__y_ra_dec', '__z_ra_dec', 'bii', 'cirrus_flag', 'class', 'comments', 'dec', 'extend_flag', 'helio_velocity', 'helio_velocity_error', 'lii', 'micron_flux_100', 'micron_flux_100_flag', 'micron_flux_12', 'micron_flux_12_flag', 'micron_flux_25', 'micron_flux_25_flag', 'micron_flux_60', 'micron_flux_60_flag', 'name', 'obj_id_flag', 'opt_mag', 'psc_id', 'ra', 'source', 'spectrum_flag', 't_type', 'ugc_or_eso_number', 'var_flag']\n",
+      "Columns=['\"__row\"', '\"__x_ra_dec\"', '\"__y_ra_dec\"', '\"__z_ra_dec\"', 'bii', 'cirrus_flag', 'class', 'comments', 'dec', 'extend_flag', 'helio_velocity', 'helio_velocity_error', 'lii', 'micron_flux_100', 'micron_flux_100_flag', 'micron_flux_12', 'micron_flux_12_flag', 'micron_flux_25', 'micron_flux_25_flag', 'micron_flux_60', 'micron_flux_60_flag', 'name', 'obj_id_flag', 'opt_mag', 'psc_id', 'ra', 'source', 'spectrum_flag', 't_type', 'ugc_or_eso_number', 'var_flag']\n",
       "----\n",
       "lcrscat\n",
       "    Las Campanas Redshift Survey Catalog\n",
       "\n",
-      "Columns=['__row', '__x_ra_dec', '__y_ra_dec', '__z_ra_dec', 'bii', 'broad_type', 'central_mag', 'class', 'dec', 'drift_scan', 'field_name', 'gsf_product', 'isophotal_mag', 'lii', 'name', 'nearby_radial_velocity', 'phot_cat_obj_num', 'ra', 'radial_velocity', 'radial_velocity_error', 'sf_product', 'spect_fiber']\n",
+      "Columns=['\"__row\"', '\"__x_ra_dec\"', '\"__y_ra_dec\"', '\"__z_ra_dec\"', 'bii', 'broad_type', 'central_mag', 'class', 'dec', 'drift_scan', 'field_name', 'gsf_product', 'isophotal_mag', 'lii', 'name', 'nearby_radial_velocity', 'phot_cat_obj_num', 'ra', 'radial_velocity', 'radial_velocity_error', 'sf_product', 'spect_fiber']\n",
       "----\n",
       "lowzvlqvla\n",
       "    VLA 6-GHz Observations of Low-Redshift SDSS QSOs\n",
       "\n",
-      "Columns=['__row', '__x_ra_dec', '__y_ra_dec', '__z_ra_dec', 'abs_imag', 'bii', 'dec', 'flux_6_ghz', 'flux_6_ghz_error', 'imag', 'int_flux_6_ghz', 'int_flux_6_ghz_error', 'lii', 'log_luminosity_6_ghz', 'name', 'off_set', 'peak_over_int_ratio', 'ra', 'radio_over_iband_ratio', 'redshift']\n",
+      "Columns=['\"__row\"', '\"__x_ra_dec\"', '\"__y_ra_dec\"', '\"__z_ra_dec\"', 'abs_imag', 'bii', 'dec', 'flux_6_ghz', 'flux_6_ghz_error', 'imag', 'int_flux_6_ghz', 'int_flux_6_ghz_error', 'lii', 'log_luminosity_6_ghz', 'name', 'off_set', 'peak_over_int_ratio', 'ra', 'radio_over_iband_ratio', 'redshift']\n",
       "----\n",
       "planckhzsc\n",
       "    Planck High-Redshift Source Candidates Catalog\n",
       "\n",
-      "Columns=['__row', '__x_ra_dec', '__y_ra_dec', '__z_ra_dec', 'bii', 'cc_sel_prob', 'dec', 'e_bv_aperture', 'e_bv_aperture_error', 'e_bv_mean', 'fir_lum_25k', 'fir_lum_25k_neg_err', 'fir_lum_25k_pos_err', 'fir_lum_30k', 'fir_lum_30k_neg_err', 'fir_lum_30k_pos_err', 'fir_lum_35k', 'fir_lum_35k_neg_err', 'fir_lum_35k_pos_err', 'fir_lum_40k', 'fir_lum_40k_neg_err', 'fir_lum_40k_pos_err', 'fir_lum_45k', 'fir_lum_45k_neg_err', 'fir_lum_45k_pos_err', 'fir_lum_50k', 'fir_lum_50k_neg_err', 'fir_lum_50k_pos_err', 'flux_217_ghz', 'flux_217_ghz_fit_err', 'flux_217_ghz_meas_err', 'flux_217_ghz_sky_err', 'flux_353_ghz', 'flux_353_ghz_fit_err', 'flux_353_ghz_meas_err', 'flux_353_ghz_sky_err', 'flux_545_ghz', 'flux_545_ghz_fit_err', 'flux_545_ghz_meas_err', 'flux_545_ghz_sky_err', 'flux_857_ghz', 'flux_857_ghz_fit_err', 'flux_857_ghz_meas_err', 'flux_857_ghz_sky_err', 'herschel_flag', 'lii', 'major_axis', 'major_axis_error', 'matching_planck_catalogs', 'minor_axis', 'minor_axis_error', 'name', 'phot_redshift_25', 'phot_redshift_25_chi2', 'phot_redshift_25_neg_err', 'phot_redshift_25_pos_err', 'phot_redshift_30', 'phot_redshift_30_chi2', 'phot_redshift_30_neg_err', 'phot_redshift_30_pos_err', 'phot_redshift_35', 'phot_redshift_35_chi2', 'phot_redshift_35_neg_err', 'phot_redshift_35_pos_err', 'phot_redshift_40', 'phot_redshift_40_chi2', 'phot_redshift_40_neg_err', 'phot_redshift_40_pos_err', 'phot_redshift_45', 'phot_redshift_45_chi2', 'phot_redshift_45_neg_err', 'phot_redshift_45_pos_err', 'phot_redshift_50', 'phot_redshift_50_chi2', 'phot_redshift_50_neg_err', 'phot_redshift_50_pos_err', 'position_angle', 'position_angle_error', 'ra', 'sfr_25k', 'sfr_25k_neg_err', 'sfr_25k_pos_err', 'sfr_30k', 'sfr_30k_neg_err', 'sfr_30k_pos_err', 'sfr_35k', 'sfr_35k_neg_err', 'sfr_35k_pos_err', 'sfr_40k', 'sfr_40k_neg_err', 'sfr_40k_pos_err', 'sfr_45k', 'sfr_45k_neg_err', 'sfr_45k_pos_err', 'sfr_50k', 'sfr_50k_neg_err', 'sfr_50k_pos_err', 'snr_353_ghz', 'snr_545_ghz', 'snr_857_ghz', 'snr_excess_545_ghz']\n",
+      "Columns=['\"__row\"', '\"__x_ra_dec\"', '\"__y_ra_dec\"', '\"__z_ra_dec\"', 'bii', 'cc_sel_prob', 'dec', 'e_bv_aperture', 'e_bv_aperture_error', 'e_bv_mean', 'fir_lum_25k', 'fir_lum_25k_neg_err', 'fir_lum_25k_pos_err', 'fir_lum_30k', 'fir_lum_30k_neg_err', 'fir_lum_30k_pos_err', 'fir_lum_35k', 'fir_lum_35k_neg_err', 'fir_lum_35k_pos_err', 'fir_lum_40k', 'fir_lum_40k_neg_err', 'fir_lum_40k_pos_err', 'fir_lum_45k', 'fir_lum_45k_neg_err', 'fir_lum_45k_pos_err', 'fir_lum_50k', 'fir_lum_50k_neg_err', 'fir_lum_50k_pos_err', 'flux_217_ghz', 'flux_217_ghz_fit_err', 'flux_217_ghz_meas_err', 'flux_217_ghz_sky_err', 'flux_353_ghz', 'flux_353_ghz_fit_err', 'flux_353_ghz_meas_err', 'flux_353_ghz_sky_err', 'flux_545_ghz', 'flux_545_ghz_fit_err', 'flux_545_ghz_meas_err', 'flux_545_ghz_sky_err', 'flux_857_ghz', 'flux_857_ghz_fit_err', 'flux_857_ghz_meas_err', 'flux_857_ghz_sky_err', 'herschel_flag', 'lii', 'major_axis', 'major_axis_error', 'matching_planck_catalogs', 'minor_axis', 'minor_axis_error', 'name', 'phot_redshift_25', 'phot_redshift_25_chi2', 'phot_redshift_25_neg_err', 'phot_redshift_25_pos_err', 'phot_redshift_30', 'phot_redshift_30_chi2', 'phot_redshift_30_neg_err', 'phot_redshift_30_pos_err', 'phot_redshift_35', 'phot_redshift_35_chi2', 'phot_redshift_35_neg_err', 'phot_redshift_35_pos_err', 'phot_redshift_40', 'phot_redshift_40_chi2', 'phot_redshift_40_neg_err', 'phot_redshift_40_pos_err', 'phot_redshift_45', 'phot_redshift_45_chi2', 'phot_redshift_45_neg_err', 'phot_redshift_45_pos_err', 'phot_redshift_50', 'phot_redshift_50_chi2', 'phot_redshift_50_neg_err', 'phot_redshift_50_pos_err', 'position_angle', 'position_angle_error', 'ra', 'sfr_25k', 'sfr_25k_neg_err', 'sfr_25k_pos_err', 'sfr_30k', 'sfr_30k_neg_err', 'sfr_30k_pos_err', 'sfr_35k', 'sfr_35k_neg_err', 'sfr_35k_pos_err', 'sfr_40k', 'sfr_40k_neg_err', 'sfr_40k_pos_err', 'sfr_45k', 'sfr_45k_neg_err', 'sfr_45k_pos_err', 'sfr_50k', 'sfr_50k_neg_err', 'sfr_50k_pos_err', 'snr_353_ghz', 'snr_545_ghz', 'snr_857_ghz', 'snr_excess_545_ghz']\n",
       "----\n",
       "sixdfgs\n",
       "    6dFGS Galaxy Survey Final Redshift Release Catalog\n",
       "\n",
-      "Columns=['__row', '__x_ra_dec', '__y_ra_dec', '__z_ra_dec', 'av', 'bii', 'bj_mag', 'dec', 'lii', 'name', 'name_redshift_field', 'num_highq_measure', 'num_total_measures', 'original_weight', 'program_id', 'ra', 'radial_velocity', 'radial_velocity_compflag', 'radial_velocity_error', 'radial_velocity_qualflag', 'ref_radial_velocity', 'rf_mag', 'specid_values', 'supercosmos_class', 'target_id', 'template_code']\n",
+      "Columns=['\"__row\"', '\"__x_ra_dec\"', '\"__y_ra_dec\"', '\"__z_ra_dec\"', 'av', 'bii', 'bj_mag', 'dec', 'lii', 'name', 'name_redshift_field', 'num_highq_measure', 'num_total_measures', 'original_weight', 'program_id', 'ra', 'radial_velocity', 'radial_velocity_compflag', 'radial_velocity_error', 'radial_velocity_qualflag', 'ref_radial_velocity', 'rf_mag', 'specid_values', 'supercosmos_class', 'target_id', 'template_code']\n",
       "----\n",
       "twodfqsoz\n",
       "    2dF QSO Redshift (2QZ) Survey\n",
       "\n",
-      "Columns=['__row', '__x_ra_dec', '__y_ra_dec', '__z_ra_dec', 'apm_x_pos', 'apm_y_pos', 'bii', 'bj_mag', 'bj_r_color', 'broad_type_1', 'broad_type_2', 'class', 'comment_spectrum_1', 'comment_spectrum_2', 'dec', 'fiber_number_1', 'fiber_number_2', 'field_spect_number_1', 'field_spect_number_2', 'flux_20_cm', 'internal_name', 'lii', 'name', 'num_obs', 'previous_redshift', 'quality_flag_1', 'quality_flag_2', 'ra', 'rass_flux', 'reddening', 'redshift_1', 'redshift_2', 'sector_name', 'snr_spectrum_1', 'snr_spectrum_2', 'source_number', 'spectrum_1_date', 'spectrum_2_date', 'u_bj_color', 'ukst_field_number']\n",
+      "Columns=['\"__row\"', '\"__x_ra_dec\"', '\"__y_ra_dec\"', '\"__z_ra_dec\"', 'apm_x_pos', 'apm_y_pos', 'bii', 'bj_mag', 'bj_r_color', 'broad_type_1', 'broad_type_2', 'class', 'comment_spectrum_1', 'comment_spectrum_2', 'dec', 'fiber_number_1', 'fiber_number_2', 'field_spect_number_1', 'field_spect_number_2', 'flux_20_cm', 'internal_name', 'lii', 'name', 'num_obs', 'previous_redshift', 'quality_flag_1', 'quality_flag_2', 'ra', 'rass_flux', 'reddening', 'redshift_1', 'redshift_2', 'sector_name', 'snr_spectrum_1', 'snr_spectrum_2', 'source_number', 'spectrum_1_date', 'spectrum_2_date', 'u_bj_color', 'ukst_field_number']\n",
       "----\n",
       "twomassrsc\n",
       "    2MASS Redshift Survey (2MRS) Catalog\n",
       "\n",
-      "Columns=['__row', '__x_ra_dec', '__y_ra_dec', '__z_ra_dec', 'alt_name', 'axis_ratio', 'bii', 'dec', 'hmag_0', 'hmag_0_error', 'hmag_0_tot', 'hmag_0_tot_error', 'jmag_0', 'jmag_0_error', 'jmag_0_tot', 'jmag_0_tot_error', 'ks_mag_0', 'ks_mag_0_error', 'ks_mag_0_tot', 'ks_mag_0_tot_error', 'lii', 'log_k20_semimajor_axis', 'log_tot_semimajor_axis', 'morph_type', 'name', 'ra', 'radial_velocity', 'radial_velocity_error', 'radial_velocity_source', 'reddening', 'ref_morph_type', 'ref_radial_velocity', 'xsc_ppc_flags']\n",
+      "Columns=['\"__row\"', '\"__x_ra_dec\"', '\"__y_ra_dec\"', '\"__z_ra_dec\"', 'alt_name', 'axis_ratio', 'bii', 'dec', 'hmag_0', 'hmag_0_error', 'hmag_0_tot', 'hmag_0_tot_error', 'jmag_0', 'jmag_0_error', 'jmag_0_tot', 'jmag_0_tot_error', 'ks_mag_0', 'ks_mag_0_error', 'ks_mag_0_tot', 'ks_mag_0_tot_error', 'lii', 'log_k20_semimajor_axis', 'log_tot_semimajor_axis', 'morph_type', 'name', 'ra', 'radial_velocity', 'radial_velocity_error', 'radial_velocity_source', 'reddening', 'ref_morph_type', 'ref_radial_velocity', 'xsc_ppc_flags']\n",
       "----\n"
      ]
     },
@@ -470,27 +470,27 @@
       "xdeep2\n",
       "    DEEP2 Galaxy Redshift Survey Fields Chandra Point Source Catalog\n",
       "\n",
-      "Columns=['__row', '__x_ra_dec', '__y_ra_dec', '__z_ra_dec', 'bayesian_galaxy_prob', 'bii', 'bmag', 'csc_name', 'dec', 'error_radius', 'fb_counts_50pc_eef', 'fb_counts_50pc_eef_error', 'fb_counts_50pc_eef_limit', 'fb_counts_90pc_eef', 'fb_counts_90pc_eef_error', 'fb_counts_90pc_eef_limit', 'fb_flux', 'fb_flux_error', 'fb_flux_limit', 'field_number', 'field_subfield_id', 'flux_ratio', 'flux_ratio_lower', 'flux_ratio_upper', 'hardness_ratio', 'hardness_ratio_lower', 'hardness_ratio_upper', 'hb_counts_50pc_eef', 'hb_counts_50pc_eef_error', 'hb_counts_50pc_eef_limit', 'hb_counts_90pc_eef', 'hb_counts_90pc_eef_error', 'hb_counts_90pc_eef_limit', 'hb_flux', 'hb_flux_error', 'hb_flux_limit', 'imag', 'lii', 'name', 'off_axis', 'off_set', 'opt_dec', 'opt_ra', 'opt_source_number', 'ra', 'radius_50pc_eef', 'radius_90pc_eef', 'redshift', 'rmag', 'sb_counts_50pc_eef', 'sb_counts_50pc_eef_error', 'sb_counts_50pc_eef_limit', 'sb_counts_90pc_eef', 'sb_counts_90pc_eef_error', 'sb_counts_90pc_eef_limit', 'sb_flux', 'sb_flux_error', 'sb_flux_limit']\n",
+      "Columns=['\"__row\"', '\"__x_ra_dec\"', '\"__y_ra_dec\"', '\"__z_ra_dec\"', 'bayesian_galaxy_prob', 'bii', 'bmag', 'csc_name', 'dec', 'error_radius', 'fb_counts_50pc_eef', 'fb_counts_50pc_eef_error', 'fb_counts_50pc_eef_limit', 'fb_counts_90pc_eef', 'fb_counts_90pc_eef_error', 'fb_counts_90pc_eef_limit', 'fb_flux', 'fb_flux_error', 'fb_flux_limit', 'field_number', 'field_subfield_id', 'flux_ratio', 'flux_ratio_lower', 'flux_ratio_upper', 'hardness_ratio', 'hardness_ratio_lower', 'hardness_ratio_upper', 'hb_counts_50pc_eef', 'hb_counts_50pc_eef_error', 'hb_counts_50pc_eef_limit', 'hb_counts_90pc_eef', 'hb_counts_90pc_eef_error', 'hb_counts_90pc_eef_limit', 'hb_flux', 'hb_flux_error', 'hb_flux_limit', 'imag', 'lii', 'name', 'off_axis', 'off_set', 'opt_dec', 'opt_ra', 'opt_source_number', 'ra', 'radius_50pc_eef', 'radius_90pc_eef', 'redshift', 'rmag', 'sb_counts_50pc_eef', 'sb_counts_50pc_eef_error', 'sb_counts_50pc_eef_limit', 'sb_counts_90pc_eef', 'sb_counts_90pc_eef_error', 'sb_counts_90pc_eef_limit', 'sb_flux', 'sb_flux_error', 'sb_flux_limit']\n",
       "----\n",
       "xmmcfrscat\n",
       "    XMM-Newton/Canada-France Redshift Survey Fields X-Ray Sources\n",
       "\n",
-      "Columns=['__row', '__x_ra_dec', '__y_ra_dec', '__z_ra_dec', 'bii', 'counts', 'dec', 'flux', 'flux_error', 'hb_flux', 'hb_flux_error', 'lii', 'mos1_hr', 'mos1_hr_error', 'mos2_hr', 'mos2_hr_error', 'name', 'notes', 'pn_hr', 'pn_hr_error', 'ra', 'sb_flux', 'sb_flux_error']\n",
+      "Columns=['\"__row\"', '\"__x_ra_dec\"', '\"__y_ra_dec\"', '\"__z_ra_dec\"', 'bii', 'counts', 'dec', 'flux', 'flux_error', 'hb_flux', 'hb_flux_error', 'lii', 'mos1_hr', 'mos1_hr_error', 'mos2_hr', 'mos2_hr_error', 'name', 'notes', 'pn_hr', 'pn_hr_error', 'ra', 'sb_flux', 'sb_flux_error']\n",
       "----\n",
       "xmmcfrsoid\n",
       "    XMM-Newton/Canada-France Redshift Survey Fields Optical Identifi\n",
       "\n",
-      "Columns=['__row', '__x_ra_dec', '__y_ra_dec', '__z_ra_dec', 'bii', 'bmag', 'bmag_error', 'cfdf_number', 'dec', 'imag', 'imag_error', 'itot_mag', 'kmag', 'kmag_error', 'lii', 'name', 'notes', 'phot_redshift_1', 'phot_redshift_1_flag', 'phot_redshift_2', 'phot_redshift_2_flag', 'phot_redshift_3', 'phot_redshift_3_flag', 'ra', 'redshift', 'true_probability', 'umag', 'umag_error', 'vmag', 'vmag_error', 'xo_offset']\n",
+      "Columns=['\"__row\"', '\"__x_ra_dec\"', '\"__y_ra_dec\"', '\"__z_ra_dec\"', 'bii', 'bmag', 'bmag_error', 'cfdf_number', 'dec', 'imag', 'imag_error', 'itot_mag', 'kmag', 'kmag_error', 'lii', 'name', 'notes', 'phot_redshift_1', 'phot_redshift_1_flag', 'phot_redshift_2', 'phot_redshift_2_flag', 'phot_redshift_3', 'phot_redshift_3_flag', 'ra', 'redshift', 'true_probability', 'umag', 'umag_error', 'vmag', 'vmag_error', 'xo_offset']\n",
       "----\n",
       "xmmcphotz\n",
       "    XMM-Newton COSMOS (XMM-COSMOS) Survey Photometric Redshift Catal\n",
       "\n",
-      "Columns=['__row', '__x_ra_dec', '__y_ra_dec', '__z_ra_dec', 'best_fit_template', 'bii', 'dec', 'ilbert_source_number', 'lii', 'morph_class', 'name', 'phot_redshift', 'phot_redshift_max', 'phot_redshift_min', 'ra', 'redshift_pdf', 'source_number', 'variability']\n",
+      "Columns=['\"__row\"', '\"__x_ra_dec\"', '\"__y_ra_dec\"', '\"__z_ra_dec\"', 'best_fit_template', 'bii', 'dec', 'ilbert_source_number', 'lii', 'morph_class', 'name', 'phot_redshift', 'phot_redshift_max', 'phot_redshift_min', 'ra', 'redshift_pdf', 'source_number', 'variability']\n",
       "----\n",
       "zcat\n",
       "    CfA Redshift Catalog (June 1995 Version)\n",
       "\n",
-      "Columns=['__row', '__x_ra_dec', '__y_ra_dec', '__z_ra_dec', 'bar_type', 'bii', 'bmag', 'bt_mag', 'class', 'comments', 'dec', 'diameter_1', 'diameter_2', 'distance', 'lii', 'luminosity_class', 'morph_type', 'name', 'notes', 'ra', 'radial_velocity', 'radial_velocity_error', 'redshift', 'ref_bmag', 'ref_radial_velocity', 'ref_redshift', 'rfn_number', 'structure', 'ugc_or_eso']\n",
+      "Columns=['\"__row\"', '\"__x_ra_dec\"', '\"__y_ra_dec\"', '\"__z_ra_dec\"', '\"distance\"', 'bar_type', 'bii', 'bmag', 'bt_mag', 'class', 'comments', 'dec', 'diameter_1', 'diameter_2', 'lii', 'luminosity_class', 'morph_type', 'name', 'notes', 'ra', 'radial_velocity', 'radial_velocity_error', 'redshift', 'ref_bmag', 'ref_radial_velocity', 'ref_redshift', 'rfn_number', 'structure', 'ugc_or_eso']\n",
       "----\n"
      ]
     }
@@ -506,7 +506,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2a98dac0",
+   "id": "496d7b1e",
    "metadata": {},
    "source": [
     "There are a number of tables that appear to be useful table for our goal, including the ZCAT,  which contains columns with the information that we need to select a sample of the brightest nearby spiral galaxy candidates.\n",
@@ -516,7 +516,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a837b154",
+   "id": "adebf5ee",
    "metadata": {},
    "source": [
     "### 2.2 Expressing queries in ADQL"
@@ -524,7 +524,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "daa5752e",
+   "id": "eafcce60",
    "metadata": {},
    "source": [
     "The basics of ADQL:\n",
@@ -566,7 +566,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2690cff2",
+   "id": "f3322a3a",
    "metadata": {},
    "source": [
     "### 2.3 A use case\n",
@@ -577,7 +577,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "ed36ee61",
+   "id": "8bda1322",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -597,14 +597,14 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "f7cf7fd8",
+   "id": "22c05b57",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=3</i>\n",
-       "<table id=\"table139859596840480\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140505526621984\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ra</th><th>dec</th><th>radial_velocity</th><th>radial_velocity_error</th><th>bmag</th><th>morph_type</th></tr></thead>\n",
        "<thead><tr><th>deg</th><th>deg</th><th>km / s</th><th>km / s</th><th></th><th></th></tr></thead>\n",
        "<thead><tr><th>float64</th><th>float64</th><th>int32</th><th>int16</th><th>float32</th><th>int16</th></tr></thead>\n",
@@ -637,7 +637,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6f974425",
+   "id": "0603c2a9",
    "metadata": {},
    "source": [
     "See the __[information on the zcat](https://heasarc.gsfc.nasa.gov/W3Browse/galaxy-catalog/zcat.html)__ for column information. (We will use the 'radial_velocity' column rather than the 'redshift' column.) We note that spiral galaxies have morph_type between 1 - 9."
@@ -645,7 +645,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a5509c60",
+   "id": "127bd7b5",
    "metadata": {},
    "source": [
     "Therefore, we can generalize the query above to complete our exercise and select the brightest (bmag < 14), nearby (radial velocity < 3000), spiral ( morph_type = 1 - 9) galaxies as follows:"
@@ -654,7 +654,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "f4b4336f",
+   "id": "f1932765",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -667,14 +667,14 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "a8190282",
+   "id": "90d0834c",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=1120</i>\n",
-       "<table id=\"table139859590626608\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140505526616464\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ra</th><th>dec</th><th>radial_velocity</th><th>radial_velocity_error</th><th>bmag</th><th>morph_type</th></tr></thead>\n",
        "<thead><tr><th>deg</th><th>deg</th><th>km / s</th><th>km / s</th><th></th><th></th></tr></thead>\n",
        "<thead><tr><th>float64</th><th>float64</th><th>int32</th><th>int16</th><th>float32</th><th>int16</th></tr></thead>\n",
@@ -688,7 +688,6 @@
        "<tr><td>148.89929</td><td>69.06297</td><td>-40</td><td>5</td><td>7.75</td><td>2</td></tr>\n",
        "<tr><td>68.21188</td><td>71.88872</td><td>-28</td><td>10</td><td>12.10</td><td>7</td></tr>\n",
        "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
-       "<tr><td>25.54105</td><td>12.60244</td><td>2964</td><td>27</td><td>13.60</td><td>3</td></tr>\n",
        "<tr><td>160.76076</td><td>-36.36216</td><td>2965</td><td>36</td><td>13.80</td><td>5</td></tr>\n",
        "<tr><td>186.92024</td><td>-8.27657</td><td>2978</td><td>20</td><td>13.13</td><td>2</td></tr>\n",
        "<tr><td>327.32062</td><td>-60.60958</td><td>2981</td><td>2</td><td>13.23</td><td>5</td></tr>\n",
@@ -716,7 +715,6 @@
        "148.89929  69.06297             -40                     5    7.75          2\n",
        " 68.21188  71.88872             -28                    10   12.10          7\n",
        "      ...       ...             ...                   ...     ...        ...\n",
-       " 25.54105  12.60244            2964                    27   13.60          3\n",
        "160.76076 -36.36216            2965                    36   13.80          5\n",
        "186.92024  -8.27657            2978                    20   13.13          2\n",
        "327.32062 -60.60958            2981                     2   13.23          5\n",
@@ -741,7 +739,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "810eba2d",
+   "id": "4c953b71",
    "metadata": {},
    "source": [
     "### 2.4 TAP examples for a given service\n",
@@ -752,7 +750,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "1827495b",
+   "id": "92a9bf59",
    "metadata": {},
    "outputs": [
     {
@@ -774,7 +772,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "587d8d75",
+   "id": "5f307360",
    "metadata": {},
    "source": [
     "Above, these examples look like a list of dictionaries.  But they are actually a list of objects that can be executed:"
@@ -783,7 +781,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "3135e657",
+   "id": "1957b362",
    "metadata": {},
    "outputs": [
     {
@@ -797,7 +795,7 @@
      "data": {
       "text/html": [
        "<div><i>Table length=2</i>\n",
-       "<table id=\"table139860752132240\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140505526711056\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>__row</th><th>seq_id</th><th>ra</th><th>dec</th><th>lii</th><th>bii</th><th>instrument</th><th>filter</th><th>site</th><th>exposure</th><th>requested_exposure</th><th>fits_type</th><th>start_time</th><th>end_time</th><th>name</th><th>pi_lname</th><th>pi_fname</th><th>ror</th><th>index_id</th><th>subj_cat</th><th>proc_rev</th><th>title</th><th>qa_number</th><th>ao</th><th>proposal_number</th><th>roll</th><th>rday_begin</th><th>rday_end</th><th>class</th><th>__x_ra_dec</th><th>__y_ra_dec</th><th>__z_ra_dec</th></tr></thead>\n",
        "<thead><tr><th></th><th></th><th>deg</th><th>deg</th><th>deg</th><th>deg</th><th></th><th></th><th></th><th>s</th><th>s</th><th></th><th>d</th><th>d</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>deg</th><th>d</th><th>d</th><th></th><th></th><th></th><th></th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>int32</th><th>int32</th><th>object</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>int32</th><th>object</th><th>int16</th><th>int16</th><th>object</th><th>int32</th><th>int16</th><th>int32</th><th>int16</th><th>int32</th><th>int32</th><th>int16</th><th>float64</th><th>float64</th><th>float64</th></tr></thead>\n",
@@ -831,7 +829,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2dccad10",
+   "id": "3e12db5c",
    "metadata": {},
    "source": [
     "## 3. Using the TAP to cross-correlate and combine"
@@ -839,7 +837,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3e98bdd4",
+   "id": "ffabec90",
    "metadata": {},
    "source": [
     "### 3.1 Cross-correlating to combine catalogs\n",
@@ -854,7 +852,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "1017582a",
+   "id": "57504eb8",
    "metadata": {},
    "outputs": [
     {
@@ -875,7 +873,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2d808708",
+   "id": "1ac434b3",
    "metadata": {},
    "source": [
     "The inline method is what PyVO will use.  These take a while, i.e. half a minute."
@@ -884,14 +882,14 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "a6407f6a",
+   "id": "17f97a32",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=14</i>\n",
-       "<table id=\"table139859595406560\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140505526710336\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ra</th><th>dec</th><th>radial_velocity</th><th>bmag</th><th>morph_type</th></tr></thead>\n",
        "<thead><tr><th>deg</th><th>deg</th><th></th><th></th><th></th></tr></thead>\n",
        "<thead><tr><th>float64</th><th>float64</th><th>int32</th><th>float32</th><th>int16</th></tr></thead>\n",
@@ -954,7 +952,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "01795861",
+   "id": "26c9b87f",
    "metadata": {},
    "source": [
     "Therefore we now have the Bmag, morphological type and radial velocities for all the sources in our list with a single TAP query."
@@ -962,7 +960,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "55e28bfb",
+   "id": "97dbebf1",
    "metadata": {},
    "source": [
     "### 3.2 Cross-correlating with user-defined columns\n",
@@ -977,14 +975,14 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "e984754f",
+   "id": "69234de3",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=14</i>\n",
-       "<table id=\"table139859595406560\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140505526710336\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ra</th><th>dec</th><th>radial_velocity</th><th>bmag</th><th>morph_type</th><th>redshift</th><th>angDdeg</th></tr></thead>\n",
        "<thead><tr><th>deg</th><th>deg</th><th></th><th></th><th></th><th></th><th>deg</th></tr></thead>\n",
        "<thead><tr><th>float64</th><th>float64</th><th>int32</th><th>float32</th><th>int16</th><th>float64</th><th>float64</th></tr></thead>\n",
@@ -1047,7 +1045,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "72d3346c",
+   "id": "ccdb4fbe",
    "metadata": {},
    "source": [
     "Now we construct and run a query that uses the new angDdeg column in every row search. Note, we also don't want to list the original candidates since we know these are in the catalog and we want rather to find any companions. Therefore, we exclude the match if the radial velocities match exactly.\n",
@@ -1058,14 +1056,14 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "df2ab2fd",
+   "id": "323913bb",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=9</i>\n",
-       "<table id=\"table139859592457728\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140505581908176\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ra</th><th>dec</th><th>ra2</th><th>dec2</th><th>radial_velocity</th><th>morph_type</th><th>bmag</th></tr></thead>\n",
        "<thead><tr><th>deg</th><th>deg</th><th>deg</th><th>deg</th><th></th><th></th><th></th></tr></thead>\n",
        "<thead><tr><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>int32</th><th>int16</th><th>float32</th></tr></thead>\n",
@@ -1123,7 +1121,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6c874993",
+   "id": "40dd3828",
    "metadata": {},
    "source": [
     "Therefore, by adding new information to our original data table, we could cross-correlate with the TAP.  We find that, in our candidate list, there is one true pair of galaxies."
@@ -1131,7 +1129,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4497a23f",
+   "id": "bf820812",
    "metadata": {},
    "source": [
     "## 4. Synchronous versus asynchronous queries\n",
@@ -1174,7 +1172,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.10.14"
   },
   "source_map": [
    43,
diff --git a/_sources/content/reference_notebooks/image_access.ipynb b/_sources/content/reference_notebooks/image_access.ipynb
index aad01fe..3140f8e 100644
--- a/_sources/content/reference_notebooks/image_access.ipynb
+++ b/_sources/content/reference_notebooks/image_access.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "27a629e8",
+   "id": "ce79bb73",
    "metadata": {},
    "source": [
     "# Image Access\n",
@@ -22,7 +22,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "094618a2",
+   "id": "eb877c70",
    "metadata": {},
    "source": [
     "**\\*Note:**  for all of these notebooks, the results depend on real-time queries.  Sometimes there are problems, either because a given service has changed, is undergoing maintenance, or the internet connectivity is having problems, etc.  Always retry a couple of times, come back later and try again, and only then send us the problem report to investigate."
@@ -31,7 +31,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "0aee2232",
+   "id": "ebc720dd",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -59,7 +59,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bc8f95ff",
+   "id": "f4a592e6",
    "metadata": {},
    "source": [
     "## 1. Finding SIA resources from the Registry\n",
@@ -72,14 +72,14 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "b45f68ca",
+   "id": "4d9f4cdd",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=18</i>\n",
-       "<table id=\"table140447319268064\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table139656449392352\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ivoid</th><th>short_name</th><th>res_title</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>\n",
        "<tr><td>ivo://archive.stsci.edu/sia/galex</td><td>GALEX</td><td>Galaxy Evolution Explorer (GALEX)</td></tr>\n",
@@ -139,7 +139,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0ba23de5",
+   "id": "56b7d509",
    "metadata": {},
    "source": [
     "This returns an astropy table containing information about the services available.  We can then specify the service we want by using the corresponding row.  We'll repeat the search with additional qualifiers to isolate the row we want (note that in the keyword search the \"%\" character can be used as a wild card):"
@@ -148,14 +148,14 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "f672c150",
+   "id": "651756e4",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=1</i>\n",
-       "<table id=\"table140447065383472\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table139656448014032\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ivoid</th><th>short_name</th><th>res_title</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>\n",
        "<tr><td>ivo://nasa.heasarc/skyview/swiftuvot</td><td>SWIFTUVOT</td><td>Swift UVOT Combined V Intensity Images</td></tr>\n",
@@ -181,7 +181,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "931df7d2",
+   "id": "d40eaecc",
    "metadata": {},
    "source": [
     "This shows us that the data we are interested in comes from the HEASARC's SkyView service, but the point of these VO tools is that you don't need to know that ahead of time or indeed to care where it comes from."
@@ -189,7 +189,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6bff4a34",
+   "id": "9550b71d",
    "metadata": {},
    "source": [
     "## 2. Using SIA to retrieve an image\n",
@@ -202,22 +202,22 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "5e682d0a",
+   "id": "b56c8a07",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=6</i>\n",
-       "<table id=\"table140447068355120\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table139656702518960\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>Survey</th><th>Ra</th><th>Dec</th><th>Dim</th><th>Size</th><th>Scale</th><th>Format</th><th>PixFlags</th><th>URL</th><th>LogicalName</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>float64</th><th>float64</th><th>int32</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>\n",
-       "<tr><td>swiftuvotvint</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=swiftuvotvint&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304535977&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>1</td></tr>\n",
-       "<tr><td>swiftuvotbint</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=swiftuvotbint&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304536233&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>2</td></tr>\n",
-       "<tr><td>swiftuvotuint</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=swiftuvotuint&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304537325&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>3</td></tr>\n",
-       "<tr><td>swiftuvotuvw1int</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=swiftuvotuvw1int&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304537779&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>4</td></tr>\n",
-       "<tr><td>swiftuvotuvw2int</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=swiftuvotuvw2int&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304538261&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>5</td></tr>\n",
-       "<tr><td>swiftuvotuvm2int</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=swiftuvotuvm2int&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304538693&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>6</td></tr>\n",
+       "<tr><td>swiftuvotvint</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=swiftuvotvint&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546327830&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>1</td></tr>\n",
+       "<tr><td>swiftuvotbint</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=swiftuvotbint&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546328206&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>2</td></tr>\n",
+       "<tr><td>swiftuvotuint</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=swiftuvotuint&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546329354&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>3</td></tr>\n",
+       "<tr><td>swiftuvotuvw1int</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=swiftuvotuvw1int&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546330084&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>4</td></tr>\n",
+       "<tr><td>swiftuvotuvw2int</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=swiftuvotuvw2int&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546330618&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>5</td></tr>\n",
+       "<tr><td>swiftuvotuvm2int</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=swiftuvotuvm2int&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546331107&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>6</td></tr>\n",
        "</table></div>"
       ],
       "text/plain": [
@@ -225,12 +225,12 @@
        "     Survey          Ra     ... LogicalName\n",
        "     object       float64   ...    object  \n",
        "---------------- ---------- ... -----------\n",
-       "   swiftuvotvint 202.469575 ...           1\n",
-       "   swiftuvotbint 202.469575 ...           2\n",
-       "   swiftuvotuint 202.469575 ...           3\n",
-       "swiftuvotuvw1int 202.469575 ...           4\n",
-       "swiftuvotuvw2int 202.469575 ...           5\n",
-       "swiftuvotuvm2int 202.469575 ...           6"
+       "   swiftuvotvint 202.484167 ...           1\n",
+       "   swiftuvotbint 202.484167 ...           2\n",
+       "   swiftuvotuint 202.484167 ...           3\n",
+       "swiftuvotuvw1int 202.484167 ...           4\n",
+       "swiftuvotuvw2int 202.484167 ...           5\n",
+       "swiftuvotuvm2int 202.484167 ...           6"
       ]
      },
      "execution_count": 4,
@@ -247,7 +247,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "60c2fe92",
+   "id": "c8a22eb2",
    "metadata": {},
    "source": [
     "Extract the fields you're interested in, e.g., the URLs of the images made by skyview.  Note that specifying as we did SwiftUVOT, we get a number of different images, e.g., UVOT U, V, B, W1, W2, etc.  For each survey, there are two URLs, first the FITS IMAGE and second the JPEG.\n",
@@ -258,14 +258,14 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "74ee07a7",
+   "id": "1dd45e62",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&survey=swiftuvotvint&pixels=300%2C300&sampler=LI&size=0.20000000000000004%2C0.20000000000000004&projection=Tan&coordinates=J2000.0&requestID=skv1704304535977&nofits=1&quicklook=jpeg&return=jpeg\n"
+      "https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&survey=swiftuvotvint&pixels=300%2C300&sampler=LI&size=0.20000000000000004%2C0.20000000000000004&projection=Tan&coordinates=J2000.0&requestID=skv1720546327830&nofits=1&quicklook=jpeg&return=jpeg\n"
      ]
     }
    ],
@@ -276,7 +276,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "627818f1",
+   "id": "c19aa4fc",
    "metadata": {},
    "source": [
     "## 3. Viewing the resulting image"
@@ -284,7 +284,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "644aae2f",
+   "id": "3e62ba8b",
    "metadata": {},
    "source": [
     "### JPG images\n",
@@ -295,13 +295,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "ee320668",
+   "id": "47e2e5cd",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<img src=\"https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&survey=swiftuvotvint&pixels=300%2C300&sampler=LI&size=0.20000000000000004%2C0.20000000000000004&projection=Tan&coordinates=J2000.0&requestID=skv1704304535977&nofits=1&quicklook=jpeg&return=jpeg\"/>"
+       "<img src=\"https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&survey=swiftuvotvint&pixels=300%2C300&sampler=LI&size=0.20000000000000004%2C0.20000000000000004&projection=Tan&coordinates=J2000.0&requestID=skv1720546327830&nofits=1&quicklook=jpeg&return=jpeg\"/>"
       ],
       "text/plain": [
        "<IPython.core.display.Image object>"
@@ -318,7 +318,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "718ea040",
+   "id": "baed3860",
    "metadata": {},
    "source": [
     "### Fits files\n",
@@ -331,14 +331,14 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "125ed052",
+   "id": "10a8d0a7",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Filename: /home/runner/.astropy/cache/download/url/db61fb4ef351346e7996f615b5b8aed1/contents\n",
+      "Filename: /home/runner/.astropy/cache/download/url/f12579024f4c3358df7299f7cf6007cb/contents\n",
       "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
       "  0  PRIMARY       1 PrimaryHDU     111   (300, 300)   float32   \n"
      ]
@@ -355,7 +355,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f3b44bd8",
+   "id": "0c29d883",
    "metadata": {},
    "source": [
     "#### Using imshow"
@@ -364,13 +364,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "9959379d",
+   "id": "58bf91a6",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x7fbc6175bee0>"
+       "<matplotlib.image.AxesImage at 0x7f044ce4f430>"
       ]
      },
      "execution_count": 8,
@@ -379,7 +379,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -394,7 +394,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "410c4004",
+   "id": "9166722c",
    "metadata": {},
    "source": [
     "## 4. Example of data available through multiple services\n",
@@ -405,14 +405,14 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "b4d50348",
+   "id": "d64ee21b",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=2</i>\n",
-       "<table id=\"table140447987676064\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table139656445857840\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ivoid</th><th>short_name</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th></tr></thead>\n",
        "<tr><td>ivo://nasa.heasarc/skyview/sdssdr7</td><td>SDSSDR7</td></tr>\n",
@@ -440,7 +440,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cd790996",
+   "id": "d91ef15e",
    "metadata": {},
    "source": [
     "So one of these is served by SDSS's SkyServer and the other by HEASARC's SkyView."
@@ -448,7 +448,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4f672974",
+   "id": "e005e251",
    "metadata": {},
    "source": [
     "### Using HEASARC"
@@ -457,21 +457,21 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "2e8e0e5e",
+   "id": "6bd8ec35",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=5</i>\n",
-       "<table id=\"table140447065221312\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table139656445867248\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>Survey</th><th>Ra</th><th>Dec</th><th>Dim</th><th>Size</th><th>Scale</th><th>Format</th><th>PixFlags</th><th>URL</th><th>LogicalName</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>float64</th><th>float64</th><th>int32</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>\n",
-       "<tr><td>sdssdr7g</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=sdssdr7g&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304547192&amp;return=FITS</td><td>1</td></tr>\n",
-       "<tr><td>sdssdr7i</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=sdssdr7i&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304547594&amp;return=FITS</td><td>2</td></tr>\n",
-       "<tr><td>sdssdr7u</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=sdssdr7u&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304548087&amp;return=FITS</td><td>3</td></tr>\n",
-       "<tr><td>sdssdr7r</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=sdssdr7r&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304548521&amp;return=FITS</td><td>4</td></tr>\n",
-       "<tr><td>sdssdr7z</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=sdssdr7z&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304548911&amp;return=FITS</td><td>5</td></tr>\n",
+       "<tr><td>sdssdr7g</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=sdssdr7g&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546338862&amp;return=FITS</td><td>1</td></tr>\n",
+       "<tr><td>sdssdr7i</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=sdssdr7i&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546339442&amp;return=FITS</td><td>2</td></tr>\n",
+       "<tr><td>sdssdr7u</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=sdssdr7u&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546340012&amp;return=FITS</td><td>3</td></tr>\n",
+       "<tr><td>sdssdr7r</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=sdssdr7r&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546340702&amp;return=FITS</td><td>4</td></tr>\n",
+       "<tr><td>sdssdr7z</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=sdssdr7z&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546341286&amp;return=FITS</td><td>5</td></tr>\n",
        "</table></div>"
       ],
       "text/plain": [
@@ -479,11 +479,11 @@
        " Survey      Ra     ... LogicalName\n",
        " object   float64   ...    object  \n",
        "-------- ---------- ... -----------\n",
-       "sdssdr7g 202.469575 ...           1\n",
-       "sdssdr7i 202.469575 ...           2\n",
-       "sdssdr7u 202.469575 ...           3\n",
-       "sdssdr7r 202.469575 ...           4\n",
-       "sdssdr7z 202.469575 ...           5"
+       "sdssdr7g 202.484167 ...           1\n",
+       "sdssdr7i 202.484167 ...           2\n",
+       "sdssdr7u 202.484167 ...           3\n",
+       "sdssdr7r 202.484167 ...           4\n",
+       "sdssdr7z 202.484167 ...           5"
       ]
      },
      "execution_count": 10,
@@ -501,13 +501,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "21ae36b9",
+   "id": "66888690",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x7fbc6175a9e0>"
+       "<matplotlib.image.AxesImage at 0x7f044ce4e7d0>"
       ]
      },
      "execution_count": 11,
@@ -516,7 +516,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -541,7 +541,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e23c75c0",
+   "id": "dc5c1ba6",
    "metadata": {},
    "source": [
     "### Using SDSS SkyServer"
@@ -550,25 +550,36 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "d1b6fcae",
+   "id": "fb79a965",
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING: AstropyDeprecationWarning: show_in_notebook() is deprecated as of 6.1 and to create\n",
+      "         interactive tables it is recommended to use dedicated tools like:\n",
+      "         - https://github.com/bloomberg/ipydatagrid\n",
+      "         - https://docs.bokeh.org/en/latest/docs/user_guide/interaction/widgets.html#datatable\n",
+      "         - https://dash.plotly.com/datatable [warnings]\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
        "<i>Table length=30</i>\n",
-       "<table id=\"table140447046541776-703270\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table139656445855680-164059\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>idx</th><th>Title</th><th>width</th><th>height</th><th>size</th><th>RA</th><th>DEC</th><th>scale</th><th>format</th><th>url</th><th>equinox</th><th>naxes</th><th>naxis</th><th>crtype</th><th>crpix</th><th>crval</th><th>cdval</th></tr></thead>\n",
-       "<tr><td>0</td><td>Sloan Digital Sky Survey - Filter u</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.439715840115</td><td>47.1222952774076</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-u6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.439715840115 47.1222952774076]</td><td>[3.57829352076884e-05 0.000157654334590212 0.000107291403325821\\n -2.42761847386219e-05]</td></tr>\n",
-       "<tr><td>1</td><td>Sloan Digital Sky Survey - Filter g</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.438763451233</td><td>47.1224982411069</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-g6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.438763451233 47.1224982411069]</td><td>[3.57455198349534e-05 0.000157658871914506 0.000107248674325512\\n -2.4298297148212e-05]</td></tr>\n",
-       "<tr><td>2</td><td>Sloan Digital Sky Survey - Filter r</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.440760551524</td><td>47.1223224530134</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-r6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.440760551524 47.1223224530134]</td><td>[3.57284422970295e-05 0.000157658504949188 0.000107285884319316\\n -2.43020165047957e-05]</td></tr>\n",
-       "<tr><td>3</td><td>Sloan Digital Sky Survey - Filter i</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.440280828514</td><td>47.1221470640024</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-i6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.440280828514 47.1221470640024]</td><td>[3.57634273620044e-05 0.00015761708892598 0.000107330126376146\\n -2.43196618936367e-05]</td></tr>\n",
-       "<tr><td>4</td><td>Sloan Digital Sky Survey - Filter z</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.439529079822</td><td>47.1222577816612</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-z6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.439529079822 47.1222577816612]</td><td>[3.57150015372814e-05 0.000157643765195985 0.000107288170305585\\n -2.43520424844304e-05]</td></tr>\n",
-       "<tr><td>5</td><td>Sloan Digital Sky Survey - Filter u</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.471051455651</td><td>47.3353076054504</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-u6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.471051455651 47.3353076054504]</td><td>[3.59720233632108e-05 0.000158234026889022 0.000107269639460545\\n -2.43685414700374e-05]</td></tr>\n",
-       "<tr><td>6</td><td>Sloan Digital Sky Survey - Filter g</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.470063167219</td><td>47.3355466663192</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-g6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.470063167219 47.3355466663192]</td><td>[3.59432847686782e-05 0.000158250992709564 0.000107232188959642\\n -2.43648103577398e-05]</td></tr>\n",
-       "<tr><td>7</td><td>Sloan Digital Sky Survey - Filter r</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.472135546076</td><td>47.3353955051599</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-r6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.472135546076 47.3353955051599]</td><td>[3.59415181020478e-05 0.000158248434019201 0.000107267969211639\\n -2.43568204128413e-05]</td></tr>\n",
-       "<tr><td>8</td><td>Sloan Digital Sky Survey - Filter i</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.471591570338</td><td>47.3352202087437</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-i6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.471591570338 47.3352202087437]</td><td>[3.59688512209066e-05 0.000158230937820391 0.000107320614280034\\n -2.43668898148645e-05]</td></tr>\n",
-       "<tr><td>9</td><td>Sloan Digital Sky Survey - Filter z</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.470847588819</td><td>47.3353207915745</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-z6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.470847588819 47.3353207915745]</td><td>[3.59150654057983e-05 0.00015824237549979 0.000107275145174036\\n -2.43601106879619e-05]</td></tr>\n",
+       "<tr><td>0</td><td>Sloan Digital Sky Survey - Filter u</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.471051455651</td><td>47.3353076054504</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-u6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.471051455651 47.3353076054504]</td><td>[3.59720233632108e-05 0.000158234026889022 0.000107269639460545\\n -2.43685414700374e-05]</td></tr>\n",
+       "<tr><td>1</td><td>Sloan Digital Sky Survey - Filter g</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.470063167219</td><td>47.3355466663192</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-g6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.470063167219 47.3355466663192]</td><td>[3.59432847686782e-05 0.000158250992709564 0.000107232188959642\\n -2.43648103577398e-05]</td></tr>\n",
+       "<tr><td>2</td><td>Sloan Digital Sky Survey - Filter r</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.472135546076</td><td>47.3353955051599</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-r6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.472135546076 47.3353955051599]</td><td>[3.59415181020478e-05 0.000158248434019201 0.000107267969211639\\n -2.43568204128413e-05]</td></tr>\n",
+       "<tr><td>3</td><td>Sloan Digital Sky Survey - Filter i</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.471591570338</td><td>47.3352202087437</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-i6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.471591570338 47.3352202087437]</td><td>[3.59688512209066e-05 0.000158230937820391 0.000107320614280034\\n -2.43668898148645e-05]</td></tr>\n",
+       "<tr><td>4</td><td>Sloan Digital Sky Survey - Filter z</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.470847588819</td><td>47.3353207915745</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-z6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.470847588819 47.3353207915745]</td><td>[3.59150654057983e-05 0.00015824237549979 0.000107275145174036\\n -2.43601106879619e-05]</td></tr>\n",
+       "<tr><td>5</td><td>Sloan Digital Sky Survey - Filter u</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.439715840115</td><td>47.1222952774076</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-u6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.439715840115 47.1222952774076]</td><td>[3.57829352076884e-05 0.000157654334590212 0.000107291403325821\\n -2.42761847386219e-05]</td></tr>\n",
+       "<tr><td>6</td><td>Sloan Digital Sky Survey - Filter g</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.438763451233</td><td>47.1224982411069</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-g6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.438763451233 47.1224982411069]</td><td>[3.57455198349534e-05 0.000157658871914506 0.000107248674325512\\n -2.4298297148212e-05]</td></tr>\n",
+       "<tr><td>7</td><td>Sloan Digital Sky Survey - Filter r</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.440760551524</td><td>47.1223224530134</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-r6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.440760551524 47.1223224530134]</td><td>[3.57284422970295e-05 0.000157658504949188 0.000107285884319316\\n -2.43020165047957e-05]</td></tr>\n",
+       "<tr><td>8</td><td>Sloan Digital Sky Survey - Filter i</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.440280828514</td><td>47.1221470640024</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-i6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.440280828514 47.1221470640024]</td><td>[3.57634273620044e-05 0.00015761708892598 0.000107330126376146\\n -2.43196618936367e-05]</td></tr>\n",
+       "<tr><td>9</td><td>Sloan Digital Sky Survey - Filter z</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.439529079822</td><td>47.1222577816612</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-z6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.439529079822 47.1222577816612]</td><td>[3.57150015372814e-05 0.000157643765195985 0.000107288170305585\\n -2.43520424844304e-05]</td></tr>\n",
        "<tr><td>10</td><td>Sloan Digital Sky Survey - Filter u</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.225036928579</td><td>47.1551517933957</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-u6-0099.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.225036928579 47.1551517933957]</td><td>[3.53810815495366e-05 0.000157828787897035 0.00010735924586165\\n -2.39982457876422e-05]</td></tr>\n",
        "<tr><td>11</td><td>Sloan Digital Sky Survey - Filter g</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.224091627324</td><td>47.1553436740585</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-g6-0099.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.224091627324 47.1553436740585]</td><td>[3.53548077171863e-05 0.000157797128208248 0.000107310265876208\\n -2.39869405117144e-05]</td></tr>\n",
        "<tr><td>12</td><td>Sloan Digital Sky Survey - Filter r</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.226056492917</td><td>47.1551938665937</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-r6-0099.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.226056492917 47.1551938665937]</td><td>[3.53239854402387e-05 0.000157838092689428 0.000107350303498701\\n -2.40134094050143e-05]</td></tr>\n",
@@ -612,14 +623,14 @@
        "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
        "}});\n",
        "require([\"datatables\"], function(){\n",
-       "    console.log(\"$('#table140447046541776-703270').dataTable()\");\n",
+       "    console.log(\"$('#table139656445855680-164059').dataTable()\");\n",
        "    \n",
        "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
        "    \"optionalnum-asc\": astropy_sort_num,\n",
        "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
        "});\n",
        "\n",
-       "    $('#table140447046541776-703270').dataTable({\n",
+       "    $('#table139656445855680-164059').dataTable({\n",
        "        order: [],\n",
        "        pageLength: 5,\n",
        "        lengthMenu: [[5, 10, 25, 50, 100, 500, 1000, -1], [5, 10, 25, 50, 100, 500, 1000, 'All']],\n",
@@ -651,13 +662,13 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "36e4541c",
+   "id": "d050a996",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x7fbc604ce3b0>"
+       "<matplotlib.image.AxesImage at 0x7f044cdbe6e0>"
       ]
      },
      "execution_count": 13,
@@ -666,7 +677,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -685,7 +696,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dc4084f4",
+   "id": "4c002a0a",
    "metadata": {},
    "source": [
     "It turns out that SkyView is just getting images by using the SIAP internally to get the data from the SDSS service.  The point of the VO protocols is that you don't need to know where the data are coming from.  But they can be processed differently."
@@ -718,7 +729,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.10.14"
   },
   "source_map": [
    39,
diff --git a/_sources/content/reference_notebooks/spectral_access.ipynb b/_sources/content/reference_notebooks/spectral_access.ipynb
index 864d8d0..782a572 100644
--- a/_sources/content/reference_notebooks/spectral_access.ipynb
+++ b/_sources/content/reference_notebooks/spectral_access.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "13285f8b",
+   "id": "fcf7565a",
    "metadata": {},
    "source": [
     "# Spectral Access\n",
@@ -15,7 +15,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "0b1bda56",
+   "id": "00c9fa1a",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -43,7 +43,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1a3f7560",
+   "id": "58f325e6",
    "metadata": {},
    "source": [
     "## Finding available Spectral Access Services\n",
@@ -54,14 +54,14 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "74ce2a3a",
+   "id": "79244520",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=6</i>\n",
-       "<table id=\"table140206315911200\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140707632814672\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ivoid</th><th>short_name</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th></tr></thead>\n",
        "<tr><td>ivo://nasa.heasarc/chanmaster</td><td>Chandra</td></tr>\n",
@@ -97,7 +97,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c076b978",
+   "id": "0f5df5ff",
    "metadata": {},
    "source": [
     "We can look at only the Chandra entry:"
@@ -106,7 +106,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "16be3e95",
+   "id": "ecd7850b",
    "metadata": {},
    "outputs": [
     {
@@ -127,7 +127,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a8b403b5",
+   "id": "4bae6ff1",
    "metadata": {},
    "source": [
     "## Chandra Spectrum of Delta Ori\n",
@@ -138,22 +138,33 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "ca902de4",
+   "id": "badb5b94",
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING: AstropyDeprecationWarning: show_in_notebook() is deprecated as of 6.1 and to create\n",
+      "         interactive tables it is recommended to use dedicated tools like:\n",
+      "         - https://github.com/bloomberg/ipydatagrid\n",
+      "         - https://docs.bokeh.org/en/latest/docs/user_guide/interaction/widgets.html#datatable\n",
+      "         - https://dash.plotly.com/datatable [warnings]\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
        "<i>Table length=6</i>\n",
-       "<table id=\"table140206350902768-827247\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140706763970528-636536\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>idx</th><th>obsid</th><th>status</th><th>name</th><th>ra</th><th>dec</th><th>time</th><th>detector</th><th>grating</th><th>exposure</th><th>type</th><th>pi</th><th>public_date</th><th>datalink</th><th>SSA_start_time</th><th>SSA_tmid</th><th>SSA_stop_time</th><th>SSA_duration</th><th>SSA_coord_obs</th><th>SSA_ra</th><th>SSA_dec</th><th>SSA_fov</th><th>SSA_title</th><th>SSA_reference</th><th>SSA_datalength</th><th>SSA_datamodel</th><th>SSA_instrument</th><th>SSA_publisher</th><th>SSA_format</th><th>SSA_wavelength_min</th><th>SSA_wavelength_max</th><th>SSA_bandwidth</th><th>SSA_bandpass</th><th>cloud_access</th></tr></thead>\n",
        "<thead><tr><th></th><th></th><th></th><th></th><th>deg</th><th>deg</th><th>d</th><th></th><th></th><th>s</th><th></th><th></th><th>d</th><th></th><th>d</th><th>d</th><th>d</th><th>s</th><th>deg</th><th>deg</th><th>deg</th><th>deg</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>m</th><th>m</th><th>m</th><th>m</th><th></th></tr></thead>\n",
-       "<tr><td>0</td><td>639</td><td>archived</td><td>DELTA ORI</td><td>83.00125</td><td>-0.29917</td><td>51556.1364</td><td>ACIS-S</td><td>HETG</td><td>49680</td><td>GO</td><td>Cassinelli</td><td>52037</td><td>11172:chandra.obs.misc</td><td>51556.136400463</td><td>--</td><td>--</td><td>49680.0</td><td>--</td><td>83.00125</td><td>-0.29917</td><td>0.81</td><td>acisf00639N004_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/9/639/primary/acisf00639N004_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/9/639/primary/acisf00639N004_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>1</td><td>14570</td><td>archived</td><td>Delta Ori</td><td>83.00167</td><td>-0.29908</td><td>56285.5508</td><td>ACIS-S</td><td>HETG</td><td>124100</td><td>GO</td><td>Corcoran</td><td>56652</td><td>11173:chandra.obs.misc</td><td>56285.5507986111</td><td>--</td><td>--</td><td>124100.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>acisf14570N003_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/0/14570/primary/acisf14570N003_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/0/14570/primary/acisf14570N003_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>2</td><td>14567</td><td>archived</td><td>Delta Ori</td><td>83.00167</td><td>-0.29908</td><td>56280.7037</td><td>ACIS-S</td><td>HETG</td><td>116500</td><td>GO</td><td>Corcoran</td><td>56647</td><td>11174:chandra.obs.misc</td><td>56280.7036921296</td><td>--</td><td>--</td><td>116500.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>acisf14567N003_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/7/14567/primary/acisf14567N003_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/7/14567/primary/acisf14567N003_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>3</td><td>14568</td><td>archived</td><td>Delta Ori</td><td>83.00167</td><td>-0.29908</td><td>56288.1612</td><td>ACIS-S</td><td>HETG</td><td>123600</td><td>GO</td><td>Corcoran</td><td>56655</td><td>11175:chandra.obs.misc</td><td>56288.1612268519</td><td>--</td><td>--</td><td>123600.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>acisf14568N003_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/8/14568/primary/acisf14568N003_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/8/14568/primary/acisf14568N003_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>4</td><td>7416</td><td>archived</td><td>delta Ori (HD 36486)</td><td>83.00167</td><td>-0.29908</td><td>54413.427</td><td>HRC-S</td><td>LETG</td><td>97080</td><td>GO</td><td>Raassen</td><td>54783</td><td>11176:chandra.obs.misc</td><td>54413.4270486111</td><td>--</td><td>--</td><td>97080.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>hrcf07416N004_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/6/7416/primary/hrcf07416N004_pha2.fits.gz</td><td>2</td><td>Spectrum-1.0</td><td>HRC-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/6/7416/primary/hrcf07416N004_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>5</td><td>14569</td><td>archived</td><td>Delta Ori</td><td>83.00167</td><td>-0.29908</td><td>56283.254</td><td>ACIS-S</td><td>HETG</td><td>120850</td><td>GO</td><td>Corcoran</td><td>56650</td><td>11177:chandra.obs.misc</td><td>56283.2539814815</td><td>--</td><td>--</td><td>120850.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>acisf14569N003_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/9/14569/primary/acisf14569N003_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/9/14569/primary/acisf14569N003_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>0</td><td>639</td><td>archived</td><td>DELTA ORI</td><td>83.00125</td><td>-0.29917</td><td>51556.1364</td><td>ACIS-S</td><td>HETG</td><td>49680</td><td>GO</td><td>Cassinelli</td><td>52037</td><td>11313:chandra.obs.misc</td><td>51556.136400463</td><td>--</td><td>--</td><td>49680.0</td><td>--</td><td>83.00125</td><td>-0.29917</td><td>0.81</td><td>acisf00639N005_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/9/639/primary/acisf00639N005_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/9/639/primary/acisf00639N005_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>1</td><td>7416</td><td>archived</td><td>delta Ori (HD 36486)</td><td>83.00167</td><td>-0.29908</td><td>54413.427</td><td>HRC-S</td><td>LETG</td><td>97080</td><td>GO</td><td>Raassen</td><td>54783</td><td>11314:chandra.obs.misc</td><td>54413.4270486111</td><td>--</td><td>--</td><td>97080.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>hrcf07416N004_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/6/7416/primary/hrcf07416N004_pha2.fits.gz</td><td>2</td><td>Spectrum-1.0</td><td>HRC-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/6/7416/primary/hrcf07416N004_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>2</td><td>14570</td><td>archived</td><td>Delta Ori</td><td>83.00167</td><td>-0.29908</td><td>56285.5508</td><td>ACIS-S</td><td>HETG</td><td>124100</td><td>GO</td><td>Corcoran</td><td>56652</td><td>11315:chandra.obs.misc</td><td>56285.5507986111</td><td>--</td><td>--</td><td>124100.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>acisf14570N003_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/0/14570/primary/acisf14570N003_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/0/14570/primary/acisf14570N003_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>3</td><td>14569</td><td>archived</td><td>Delta Ori</td><td>83.00167</td><td>-0.29908</td><td>56283.254</td><td>ACIS-S</td><td>HETG</td><td>120850</td><td>GO</td><td>Corcoran</td><td>56650</td><td>11316:chandra.obs.misc</td><td>56283.2539814815</td><td>--</td><td>--</td><td>120850.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>acisf14569N003_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/9/14569/primary/acisf14569N003_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/9/14569/primary/acisf14569N003_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>4</td><td>14568</td><td>archived</td><td>Delta Ori</td><td>83.00167</td><td>-0.29908</td><td>56288.1612</td><td>ACIS-S</td><td>HETG</td><td>123600</td><td>GO</td><td>Corcoran</td><td>56655</td><td>11317:chandra.obs.misc</td><td>56288.1612268519</td><td>--</td><td>--</td><td>123600.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>acisf14568N003_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/8/14568/primary/acisf14568N003_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/8/14568/primary/acisf14568N003_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>5</td><td>14567</td><td>archived</td><td>Delta Ori</td><td>83.00167</td><td>-0.29908</td><td>56280.7037</td><td>ACIS-S</td><td>HETG</td><td>116500</td><td>GO</td><td>Corcoran</td><td>56647</td><td>11318:chandra.obs.misc</td><td>56280.7036921296</td><td>--</td><td>--</td><td>116500.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>acisf14567N003_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/7/14567/primary/acisf14567N003_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/7/14567/primary/acisf14567N003_pha2.fits.gz&quot;}}</td></tr>\n",
        "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
        ".dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{\n",
        "display: inline-block; margin-right: 1em; }\n",
@@ -177,14 +188,14 @@
        "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
        "}});\n",
        "require([\"datatables\"], function(){\n",
-       "    console.log(\"$('#table140206350902768-827247').dataTable()\");\n",
+       "    console.log(\"$('#table140706763970528-636536').dataTable()\");\n",
        "    \n",
        "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
        "    \"optionalnum-asc\": astropy_sort_num,\n",
        "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
        "});\n",
        "\n",
-       "    $('#table140206350902768-827247').dataTable({\n",
+       "    $('#table140706763970528-636536').dataTable({\n",
        "        order: [],\n",
        "        pageLength: 50,\n",
        "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
@@ -212,7 +223,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "03b60294",
+   "id": "3e608142",
    "metadata": {},
    "source": [
     "Accessing one of the spectra."
@@ -221,7 +232,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "ea0df016",
+   "id": "98094253",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -236,7 +247,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "70726ff9",
+   "id": "3db375e6",
    "metadata": {},
    "source": [
     "## Simple example of plotting a spectrum"
@@ -245,28 +256,28 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "7f9bc4bf",
+   "id": "da8ced4d",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=12</i>\n",
-       "<table id=\"table140205359906672\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140706724917360\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>SPEC_NUM</th><th>TG_M</th><th>TG_PART</th><th>TG_SRCID</th><th>X</th><th>Y</th><th>CHANNEL</th><th>COUNTS</th><th>STAT_ERR</th><th>BACKGROUND_UP</th><th>BACKGROUND_DOWN</th><th>BIN_LO</th><th>BIN_HI</th></tr></thead>\n",
        "<thead><tr><th>int16</th><th>int16</th><th>int16</th><th>int16</th><th>float32</th><th>float32</th><th>int16[8192]</th><th>int16[8192]</th><th>float32[8192]</th><th>int16[8192]</th><th>int16[8192]</th><th>float64[8192]</th><th>float64[8192]</th></tr></thead>\n",
-       "<tr><td>1</td><td>-3</td><td>1</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>7.159166666667378 .. 0.3333333333333333</td><td>7.160000000000712 .. 0.33416666666666667</td></tr>\n",
-       "<tr><td>2</td><td>-2</td><td>1</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>10.738750000000886 .. 0.5</td><td>10.740000000000887 .. 0.50125</td></tr>\n",
-       "<tr><td>3</td><td>-1</td><td>1</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>21.477500000001772 .. 1.0</td><td>21.480000000001773 .. 1.0025</td></tr>\n",
-       "<tr><td>4</td><td>1</td><td>1</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>21.477500000001772 .. 1.0</td><td>21.480000000001773 .. 1.0025</td></tr>\n",
-       "<tr><td>5</td><td>2</td><td>1</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>10.738750000000886 .. 0.5</td><td>10.740000000000887 .. 0.50125</td></tr>\n",
-       "<tr><td>6</td><td>3</td><td>1</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>7.159166666667378 .. 0.3333333333333333</td><td>7.160000000000712 .. 0.33416666666666667</td></tr>\n",
-       "<tr><td>7</td><td>-3</td><td>2</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>13.985000000001373 .. 0.3333333333333333</td><td>13.98666666666804 .. 0.33499999999999996</td></tr>\n",
-       "<tr><td>8</td><td>-2</td><td>2</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>20.977500000001505 .. 0.5</td><td>20.980000000001507 .. 0.5025</td></tr>\n",
-       "<tr><td>9</td><td>-1</td><td>2</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>41.95500000000301 .. 1.0</td><td>41.960000000003014 .. 1.005</td></tr>\n",
-       "<tr><td>10</td><td>1</td><td>2</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>41.95500000000301 .. 1.0</td><td>41.960000000003014 .. 1.005</td></tr>\n",
-       "<tr><td>11</td><td>2</td><td>2</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>20.977500000001505 .. 0.5</td><td>20.980000000001507 .. 0.5025</td></tr>\n",
-       "<tr><td>12</td><td>3</td><td>2</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>13.985000000001373 .. 0.3333333333333333</td><td>13.98666666666804 .. 0.33499999999999996</td></tr>\n",
+       "<tr><td>1</td><td>-3</td><td>1</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>7.159166666667378 .. 0.3333333333333333</td><td>7.160000000000712 .. 0.33416666666666667</td></tr>\n",
+       "<tr><td>2</td><td>-2</td><td>1</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>10.738750000000886 .. 0.5</td><td>10.740000000000887 .. 0.50125</td></tr>\n",
+       "<tr><td>3</td><td>-1</td><td>1</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>21.477500000001772 .. 1.0</td><td>21.480000000001773 .. 1.0025</td></tr>\n",
+       "<tr><td>4</td><td>1</td><td>1</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>21.477500000001772 .. 1.0</td><td>21.480000000001773 .. 1.0025</td></tr>\n",
+       "<tr><td>5</td><td>2</td><td>1</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>10.738750000000886 .. 0.5</td><td>10.740000000000887 .. 0.50125</td></tr>\n",
+       "<tr><td>6</td><td>3</td><td>1</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>7.159166666667378 .. 0.3333333333333333</td><td>7.160000000000712 .. 0.33416666666666667</td></tr>\n",
+       "<tr><td>7</td><td>-3</td><td>2</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>13.985000000001373 .. 0.3333333333333333</td><td>13.98666666666804 .. 0.33499999999999996</td></tr>\n",
+       "<tr><td>8</td><td>-2</td><td>2</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>20.977500000001505 .. 0.5</td><td>20.980000000001507 .. 0.5025</td></tr>\n",
+       "<tr><td>9</td><td>-1</td><td>2</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>41.95500000000301 .. 1.0</td><td>41.960000000003014 .. 1.005</td></tr>\n",
+       "<tr><td>10</td><td>1</td><td>2</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>41.95500000000301 .. 1.0</td><td>41.960000000003014 .. 1.005</td></tr>\n",
+       "<tr><td>11</td><td>2</td><td>2</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>20.977500000001505 .. 0.5</td><td>20.980000000001507 .. 0.5025</td></tr>\n",
+       "<tr><td>12</td><td>3</td><td>2</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>13.985000000001373 .. 0.3333333333333333</td><td>13.98666666666804 .. 0.33499999999999996</td></tr>\n",
        "</table></div>"
       ],
       "text/plain": [
@@ -301,12 +312,12 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "9f47f54f",
+   "id": "8f89573c",
    "metadata": {},
    "outputs": [
     {
      "data": {
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y5cs1e/ZsxcfHKyQkRKtWrVLnzp21Zs0aSVJgYKDNlVG5ubkKDAxs6qECABzgzNdlGjD/Xf3khfcdHQoAwMl9VVSun/09Xe99kufoUIA296d/52j+/33s6DBwnbJbUSohIUGTJ09WdHR0g/1cXV21efNmHTp0SLNmzZLFYtHJkycVFRWladOmad68ec0av7KyUpmZmTbju7q6Kjo6Wunp6ZKkiIgIZWdnKzc3VyUlJdqyZYtiYmLq3WdycrJCQkI0evToZsUEAGg9P1y6S5J08MxFxwYCoEHkT3AGj2/6RB+euqD/91qmo0MB2lSV2aI175/Whv1n9eU3ZY4OB9chu8wptWHDBh08eFD79+9vVP/AwEDt3LlT48aN04wZM5Senq7o6GitXLmy2TEUFhbKbDYrICDApj0gIECffvqpJMnd3V3Lli3TxIkTZbFYNG/evAafvJeQkKCEhASZTCb5+fk1OzYAAIDrBfkTnME3ZZWODgGwC8P47udqs1F/R6CNtHlR6uzZs3rooYe0fft2eXl5NXq74OBgvfbaaxo/frwGDRqkl19+2S4TjE6dOlVTp05t83EAAAAAAACuZ21++15mZqYKCgp0yy23yN3dXe7u7tqzZ4+effZZubu728wbdaX8/Hw98MADmjJlisrKyvTII4+0KA5/f3+5ubnVmig9Pz9fffr0adG+AQAAAABwZlwnBUdo86LUpEmTdOTIEWVlZVlf4eHhmjlzprKysuTm5lZrm8LCQk2aNEk33nij3n77baWlpSklJUWPPvpos+Pw8PBQWFiY0tLSrG0Wi0VpaWmKjIxs9n4BAAAAAHBGdrgZCWhQm9++17VrV40YMcKmrUuXLurZs2etdulyoSg2Nlb9+/dXSkqK3N3dFRISou3btysqKkpBQUF1XjVVUlKiEydOWJdPnz6trKws9ejRQ8HBwZKkpKQkxcXFKTw8XBEREVqxYoVKS0sVHx/fykcNAAAAAACAhthlovOmcHV11eLFizVu3Dh5eHhY20NDQ7Vjxw716tWrzu0OHDigiRMnWpeTkpIkSXFxcVq3bp0k6e6779b58+e1cOFC5eXlaeTIkdq6dWutyc8BAAAAAADQthxSlNq9e3eD62+//fY620eNGlXvNhMmTJBhXPsu2MTERCUmJl6zHwAAABovNTVVc+fOlcVi0W9/+1v98pe/dHRIAIAmaMy/p4HW1u6ulAIAAIBzqa6uVlJSknbt2iU/Pz+FhYVp+vTp6tmzp6NDAwA0gCml4GhtPtE5AAAAOraMjAwNHz5cQUFB8vHxUWxsrLZt2+bosAAAQDtHUQoAAMAJPP3003JxcdHDDz/cqvvdu3evpkyZosDAQLm4uGjTpk119ktOTtaAAQPk5eWlMWPGKCMjw7ru3LlzCgoKsi4HBQUpNze3VeMEAAAdD0UpAACAdm7//v168cUXdfPNNzfY7/3331dVVVWt9pycHOXn59e5TWlpqUJDQ5WcnFzvflNSUpSUlKRFixbp4MGDCg0NVUxMjAoKCpp2IACAdosZpeAIFKUAAADasZKSEs2cOVOrV69W9+7d6+1nsViUkJCgGTNmyGw2W9uPHTumqKgovfLKK3VuFxsbqyeffFLTp0+vd9/Lly/X7NmzFR8fr5CQEK1atUqdO3fWmjVrJEmBgYE2V0bl5uYqMDCwqYcKoA5LNh9VUkoWk1CjTbi4MKsUHIui1FVSU1M1dOhQDRkyRC+99JKjwwEAANe5hIQETZ48WdHR0Q32c3V11ebNm3Xo0CHNmjVLFotFJ0+eVFRUlKZNm6Z58+Y1a/zKykplZmbajO/q6qro6Gilp6dLkiIiIpSdna3c3FyVlJRoy5YtiomJqXN/ycnJCgkJ0ejRo5sVD3C9eXHvKb19KFfH80scHQoAtDqevncFnhwDAADakw0bNujgwYPav39/o/oHBgZq586dGjdunGbMmKH09HRFR0dr5cqVzY6hsLBQZrNZAQEBNu0BAQH69NNPJUnu7u5atmyZJk6cKIvFonnz5tWbPyUkJCghIUEmk0l+fn7Njgu43lSZLY4OAQBaHUWpK1z55BhJ1ifH3HPPPQ6ODAAAXG/Onj2rhx56SNu3b5eXl1ejtwsODtZrr72m8ePHa9CgQXr55ZftcnvG1KlTNXXq1DYfBwDQNrhDFI5gl9v3Vq5cqZtvvlm+vr7y9fVVZGSktmzZ0qpj8OQYAADQkWRmZqqgoEC33HKL3N3d5e7urj179ujZZ5+Vu7u7zbxRV8rPz9cDDzygKVOmqKysTI888kiL4vD395ebm1utidLz8/PVp0+fFu0bAABc3+xSlOrbt6+efvppZWZm6sCBA4qKitKPf/xjffLJJ3X258kxAADgejdp0iQdOXJEWVlZ1ld4eLhmzpyprKwsubm51dqmsLBQkyZN0o033qi3335baWlpSklJ0aOPPtrsODw8PBQWFqa0tDRrm8ViUVpamiIjI5u9XwAAALsUpaZMmaIf/ehHGjJkiL7//e/rqaeeko+Pjz788MNafXlyDIDmOFFQrENnvqnVnvnFBQ2Y/67+kXHGAVFJpwtLdeDzCzryZZE+zTM5JIYaJwqKdbCO96gpLpZVauen+apmXgugzXXt2lUjRoyweXXp0kU9e/bUiBEjavW3WCyKjY1V//79lZKSInd3d4WEhGj79u1au3at/vrXv9Y5TklJibXoJUmnT59WVlaWzpz57u9mUlKSVq9erVdeeUVHjx7VnDlzVFpaqvj4+DY5dgAAcH2w+5xSZrNZb775pkpLS+v8dq3myTE//OEPNWvWLL322ms6ffp0qz05ZsGCBTZj1ffkGD8/P23ZskWPP/548w4UgF1FL98rScr43ST19v1u7pX/Xnn5/+8Fbx/RqOBuGtbH165xTfzLbpvlU4t/JFdXxzx6t+Y9+uh3kxTg2/j5aa70kxc+0KnCUv32zmGaM2Fwa4YHoIVcXV21ePFijRs3Th4eHtb20NBQ7dixQ7169apzuwMHDmjixInW5aSkJElSXFyc1q1bJ0m6++67df78eS1cuFB5eXkaOXKktm7dWmvycwCAM2NSKdif3YpSR44cUWRkpC5duiQfHx9t3LhRISEhdfZ1hifHSJfnp0pOTq53TgcA9nf2mzKbotSVcs6Z7F6UuprFMOQqxxSlapy9UNbsotSpwlJJUurH5yhKAQ6we/fuBtfffvvtdbaPGjWq3m0mTJggoxGz2yYmJioxMfGa/QAAABrLbkWpoUOHKisrS0VFRXrrrbcUFxenPXv21FuYcoYnx/BIYwAAAAAAgOaxy5xS0uVJMm+44QaFhYVpyZIlCg0N1d/+9rd6+/PkGABoG1yYDQAAAKA9sFtR6moWi0UVFRV1ruPJMQAAAADwnUbcZQu0CL9jcAS7FKUWLFigvXv36vPPP9eRI0e0YMEC7d69WzNnzqzVlyfHAEDbIuEA0BZSU1M1dOhQDRkyRC+99JKjwwEAAE7ALnNKFRQUaNasWfrqq6/k5+enm2++We+9916dk3Hy5BgAbcUO09IBwHWpurpaSUlJ2rVrl/z8/BQWFqbp06c3+MAYAAAAuxSlXn755Sb158kxAAAAziMjI0PDhw9XUFCQJCk2Nlbbtm3TPffc4+DIAACNxcX0cASHzSkFAHCMxhTwAbQPK1eu1M033yxfX1/5+voqMjJSW7ZsadUx9u7dqylTpigwMFAuLi7atGlTnf2Sk5M1YMAAeXl5acyYMcrIyLCuO3funLUgJUlBQUHKzc1t1TgBAEDHQ1EKAACgnerbt6+efvppZWZm6sCBA4qKitKPf/xjffLJJ3X2f//991VVVVWrPScnp9YTiGuUlpYqNDRUycnJ9caRkpKipKQkLVq0SAcPHlRoaKhiYmJUUFDQvAMD2rlqC1/gmC2GyiqrG1xfZbbYMSLHsbTCsVZUm1spGqBjoSgFANcZ0mzAeUyZMkU/+tGPNGTIEH3/+9/XU089JR8fH3344Ye1+losFiUkJGjGjBkym7/7x8+xY8cUFRWlV155pc4xYmNj9eSTT2r69On1xrF8+XLNnj1b8fHxCgkJ0apVq9S5c2etWbNGkhQYGGhzZVRubq4CAwObe9iAQ5kthg6fvejoMCRJv9t4xPqzYcdPcMMwNPh3mxWy8D0d+bKozj53rtirHyxOU2V1xy9MTU3ep1ue2K5LVc0rLP3r8DkN/f1Wbcg4c+3ODvT3vaccHQKuQxSlAFw3XMRM5wCcl9ls1oYNG1RaWqrIyMha611dXbV582YdOnRIs2bNksVi0cmTJxUVFaVp06Zp3rx5zRq3srJSmZmZio6OthkrOjpa6enpkqSIiAhlZ2crNzdXJSUl2rJli2JiYurcX3JyskJCQjR69OhmxQO0tYLiS44OweqNjxxTxCi/ovjy2FuH6+zzWUGJvi6t1MnzJfYKy2Gyc00qvlTd7GLlb/5xSJI0/+0j1+jpWG9lfunoEHAdsstE5wAAAGieI0eOKDIyUpcuXZKPj482btyokJCQOvsGBgZq586dGjdunGbMmKH09HRFR0dr5cqVzR6/sLBQZrO51tOKAwIC9Omnn0qS3N3dtWzZMk2cOFEWi0Xz5s2r98l7CQkJSkhIkMlkkp+fX7PjAgAAzo+iFABcZ5jnHHAuQ4cOVVZWloqKivTWW28pLi5Oe/bsqbcwFRwcrNdee03jx4/XoEGD9PLLL8vFpe2vFJ06daqmTp3a5uMAaHtcXQ7AXrh9DwAAoB3z8PDQDTfcoLCwMC1ZskShoaH629/+Vm///Px8PfDAA5oyZYrKysr0yCOPtGh8f39/ubm51ZooPT8/X3369GnRvgG0f3yZBaAtUZQCAABwIhaLRRUVFXWuKyws1KRJk3TjjTfq7bffVlpamlJSUvToo482ezwPDw+FhYUpLS3NJoa0tLQ657YC0DbsWRyyw8WVACCJ2/cAXEdIsC6z59N7ALTMggULFBsbq+DgYBUXF+uNN97Q7t279d5779Xqa7FYFBsbq/79+yslJUXu7u4KCQnR9u3bFRUVpaCgoDqvmiopKdGJEyesy6dPn1ZWVpZ69Oih4OBgSVJSUpLi4uIUHh6uiIgIrVixQqWlpYqPj2+7gwcAAB0eRSkAAIB2qqCgQLNmzdJXX30lPz8/3XzzzXrvvfd0++231+rr6uqqxYsXa9y4cfLw8LC2h4aGaseOHerVq1edYxw4cEATJ060LiclJUmS4uLitG7dOknS3XffrfPnz2vhwoXKy8vTyJEjtXXr1lqTnwPoePgyC0BboigFANcbckvAabz88stN6l9XsUqSRo0aVe82EyZMkNGI+4ISExOVmJjYpHgAAAAawpxSAAAAAAArpjwAYC8UpQAAAAAAVjxxD4C9UJQCgOsMeSYAAM7HUZ/fFKgAtCWKUldJTU3V0KFDNWTIEL300kuODgcAAAAAHIaaFIC2xETnV6iurlZSUpJ27dolPz8/hYWFafr06erZs6ejQwOAVsM3ngAAAADaA66UukJGRoaGDx+uoKAg+fj4KDY2Vtu2bXN0WAAAAAAAAB2OXYpSS5Ys0ejRo9W1a1f17t1b06ZN07Fjx1p1jL1792rKlCkKDAyUi4uLNm3aVGe/5ORkDRgwQF5eXhozZowyMjKs686dO6egoCDrclBQkHJzc1s1TgAAAAAAANipKLVnzx4lJCToww8/1Pbt21VVVaU77rhDpaWldfZ///33VVVVVas9JydH+fn5dW5TWlqq0NBQJScn1xtHSkqKkpKStGjRIh08eFChoaGKiYlRQUFB8w4MgFNx4fnGkiSD2SEAAHA6hoPuv3fUuACuD3YpSm3dulX333+/hg8frtDQUK1bt05nzpxRZmZmrb4Wi0UJCQmaMWOGzGaztf3YsWOKiorSK6+8UucYsbGxevLJJzV9+vR641i+fLlmz56t+Ph4hYSEaNWqVercubPWrFkjSQoMDLS5Mio3N1eBgYHNPWwArWTKc/s0YP67Nq8//OsTSdJT7+ZowPx3bfr/X+aXGvv0TmXnFtm0H88rrrXvymqL/uu5/2jB2x9b20oqqhW9fI8Wbz7a6sfyp9Qcxfx1r774ulTjl+7SC7tPNNj/dGGpbvvzTr324RdNHuuVDz63ec9q3PdyhqKW7dZtf96p04V1fzlwtXzTJQ1a8N0+KqotMgxD8WszNGtNhjVhtVgM/c+qdCW8cbDO/Ty84ZD+e+UHMlsan+C+eeCsxj69U5/mmepcv/tYQa3fgfbiwX8c0k9XfSBLE44XAID2hE8wAG3JIXNKFRVd/odijx49aq1zdXXV5s2bdejQIc2aNUsWi0UnT55UVFSUpk2bpnnz5jVrzMrKSmVmZio6OtpmrOjoaKWnp0uSIiIilJ2drdzcXJWUlGjLli2KiYmpd5/JyckKCQnR6NGjmxUTgMY5clVxSZLWffC5JGn1f07XWjf3zcPKvViu/3pun03787tqF4D2HD+v7FyT/pFx1tr25oGzOlFQor/vPdXCyGt7Nf0LHcsvVtSyPfri6zI9s7XhW5kXvpOtL78p1+Obsps81qJvC3d1OXW+VF9+U66F7zRuvyt2HNeVdZUTBSUqKq/SrmPntff4eRUUV0iScr4yKePzC3r346/q3M+mrHPK/OIbZZ292OjjeOytj5V7sVxJKYfrXH//2v2N3pe9/fvwOe3//Bt9cq7ughrQkfAEYwAA0FR2f/qexWLRww8/rLFjx2rEiBF19gkMDNTOnTs1btw4zZgxQ+np6YqOjtbKlSubPW5hYaHMZrMCAgJs2gMCAvTpp59Kktzd3bVs2TJNnDhRFotF8+bNa/DJewkJCUpISJDJZJKfn1+zYwPgOJY6LklvylU8zdXYMarNbRtLY/ff+nE0fX/VFksrx2A/3DKJjo4nGAMdC3fsAbAXuxelEhISlJ2drX379jXYLzg4WK+99prGjx+vQYMG6eWXX7bLfDBTp07V1KlT23wcAACAjuLKJxhLsj7B+J577nFwZAAAoD2z6+17iYmJSk1N1a5du9S3b98G++bn5+uBBx7QlClTVFZWpkceeaRFY/v7+8vNza3WROn5+fnq06dPi/YNAADQFniCMYAaDrt4iaumALQhuxSlDMNQYmKiNm7cqJ07d2rgwIEN9i8sLNSkSZN044036u2331ZaWppSUlL06KOPNjsGDw8PhYWFKS0tzdpmsViUlpamyMjIZu8XAACgrfAEYwAA0JHZpSiVkJCg119/XW+88Ya6du2qvLw85eXlqby8vFZfi8Wi2NhY9e/fXykpKXJ3d1dISIi2b9+utWvX6q9//WudY5SUlCgrK0tZWVmSpNOnTysrK0tnzpyx9klKStLq1av1yiuv6OjRo5ozZ45KS0sVHx/fJscNAADQEjzBGHAeBcWX9M/9Z3Wpynztzo2QcfqCzfJPXvhA+z4rbPT2W7O/qvUk4qt9mmfSuvdP65/7z6q80qzUj8/p6Fcmm7kQiyuqGz3mrk8L9PqHX9T7wJPWkPnFN9r1adMK4tm5Rdpy5HJMBcWXdNfKD3Q8v1jFl6p038sfKf3k1zb9M05f0J7j51Vltmjl7pPW9pQDZ/VNaWXLD6IVVJktevPAWX35TVmTtssr+u73NPXjc0pYX/cTkwF7scucUjUTlE+YMMGmfe3atbr//vtt2lxdXbV48WKNGzdOHh4e1vbQ0FDt2LFDvXr1qnOMAwcOaOLEidblpKQkSVJcXJzWrVsnSbr77rt1/vx5LVy4UHl5eRo5cqS2bt1aa/JzANc3JvcE0F415gnGP/zhDzVr1iy99tprOn36dKs9wXjBggU2Y9X3BGM/Pz9t2bJFjz/+eLPGAxwt84tvbJYLTJfU29frmtv95IUP9OU35cr5yqQ/TB3eohgMw9D/vJheq/3elz/S4UV3yM+7U4Pbf/zlRf3q9cvFhs+fnlxvvztX/Mf686q9J3Xq/OWrMHP+9N0TyM9/+4Tda8m9WK74dd89EbdX10hFDKz9t6ql/nvlB5KkD+ZHKbCbd6O2qXki86aEsZqW/L4k6Y6/7lXPLh76urRS//ms0OZ9qnnvZ48baPOk57cP5up0Yak2/npsqxxLS7z0n9P689ZP1cnNRZ899aNGb/dfz/1HhSWVOllYohf3tP6TpoGmsktRymjiv/Buv/32OttHjRpV7zYTJkxo1DiJiYlKTExsUjwAAACO1lGeYJycnKzk5GSbq7mA9uR4fonN8vmSikYVpb785vJdINtz8luhKFX/OlN51TWLUifPlzS4vi41BanmyiuyvQvmWJ6pTYpS1vFMlxpdlKrxWX6xzfLX17jq6d+Ha1/xdejMxSaN2VY+OHn5qrmqJj4hubDk8jHv/vR8q8cENIfdn74HAACApusoTzBOSEhQQkKCTCaT/Pz82jwuAADQftn16XsAAABoOp5gDAAAOiKKUgBwFYNnHwNoJ3iCMQBHYH5NAPbC7XsAAADtVEJCgt544w2988471icYS5Kfn5+8vW3nUmnoCcZRUVEKCgqq86qpkpISnThxwrpc8wTjHj16KDg4WNLlB8jExcUpPDxcERERWrFiBU8wBgAALUZRCgAAoJ3iCcYAAKAjoygFAFfhknUA7QVPMAYAAB0Zc0oBAAAAAKz4fg6AvVCUAgAAAAAAgN1RlAKAq/DtIAAAAAC0PYpSAAAAAAAAsDuKUgAAAAAAALA7ilIAAAAAAKumPvkTAJqLohQAXIU8DAAAAADaHkUpAAAAAAAA2B1FKQAAAAAAANgdRSkAuIoh7t8DAAAAgLZGUQoAAAAAYMXXcwDshaIUAAAAAAAA7I6iFABchafvAQAAAEDboygFAAAAAAAAu6MoBQAAAACw4qpxAPZCUQoAAAAAAAB2R1EKAAAAAAAAdkdRCgAAAAAAAHZHUQoAAAAAAAB2R1EKAK5iMLsnAAC4npEKAbATilIAAAAAAACwO4pSAAAAAAAAsDuKUgBwFe7eAwAAAIC2R1EKAAAAAGBlMKkUADuhKAUAAAAAAAC7oygFAAAAAAAAu6MoBQBX4YJ1AAAAAGh7FKW+lZqaqqFDh2rIkCF66aWXHB0OAABAu0f+BAAAWsLd0QG0B9XV1UpKStKuXbvk5+ensLAwTZ8+XT179nR0aAAAAO0S+RPQcfEkYgD2wpVSkjIyMjR8+HAFBQXJx8dHsbGx2rZtm6PDAuAgJGIAcG3kTwAAoKU6RFFq7969mjJligIDA+Xi4qJNmzbV6pOcnKwBAwbIy8tLY8aMUUZGhnXduXPnFBQUZF0OCgpSbm6uPUIHAABwCPInAADgaB3i9r3S0lKFhobq5z//uX7yk5/UWp+SkqKkpCStWrVKY8aM0YoVKxQTE6Njx46pd+/eDogYQF0sFkPFFdXydL9cLy++VC03V5d6+xeVVzWq7UolFdUquVStTm4ucnVxsbkq6ouvS9Wrq6e+Lq2wtuWbLqmy2qKePh4qqaiWr1cn5ZsuqXsXDxWVVami2iIfT3d5uruqvMosP+9OcnO9vN9vyiobddzVZosKiivk591J1RZDldUWlVVW63t+3jbHU1pRrQullerq5S4/707KN1Woi6ebKqst6tHFQ6ZL1TJbDF0sq1Svrp6NGrusyizTpSp5uF1+zyuqLOrkfvm9qaiyqKSyWt07d9LXpbWP5WLZd7GVVZpVUW1WQfElm+Nyd3PV+eIKubpI5ive7EtVFl2qMquTm6uKyqt0qcqsHl085NXJ7dv1ZlVUW1Rttli3MZVXq6isSoYMeXVyU0WVRZ6dGv5upai8Sl093VVlscjd1VWWb2MoqzTLbDHU2ePyeF6d3HSpymz9+Wo162rWG4ahimqLTZ8rt7uyvySZLYYqqs0yjO/6mS2Gqi0Webrbjlez76v3V1ZpVhdPN5t91BdzQ8fSkEtVZnm6u6qi2mL9b8174+nuKhcXF12qMjd6vxXVZrm7ujb4/zEch/wJHcnVf5uqzBZVVlvk3clNrq4uNn+3XV1c5ObqovIqs0zlVfL17qSvSyrk5uqi7p09dO5iuc2+q8yG9e+q2WKok5urOrm5qKi8Sl6d3Gw+Q6TLnz0Fpkvy9e6kimqLKqrMcndzlZuLizzcXVX5bRyenVzl6e4qi3E5P7n0bR4hyfq5XJ/zxRXq0cVDFdVmubp89zfWzfXy3+mKqu8+o8oqq619yivNcnV1kae7a4NXhpdf9Tl2qeryOFVmi1xdXKzHIF2+wvxSlVmWq/ZXVF6lkopqubu6qNJskWGRfL3dVVFtkYvL5ffSu5ObTOXVMmTIzdVFFkPWz+dLVWZ19eqkkkvV8uvcqdZna1FZlfXzqbiiWj4e7nL99vjdXF10obRShnF5zCuPoz5fl1Sos4e7Tf52ZU549bFVVJnVq6unzBZDZVVmm3NmMQxVmQ15uruqpKK61vY1cRiGVHypSp7uburq5a7ci+Xq1dVThiEZMuQiF1VZLudM/l0u53YV1Ra5ul6dh10+xzV5aVlltXw83ZVvqlC3zpd/D8srzerWuVO9x1+j5pyZLYbMhiEPN1drzuXiIn1eWKYhvX3ketVne83vnY+Xu8wWQx7uriqrvJzLX5nrWCyGKs2WenOJiuqaHK3uUkVltUWuLpL7Nf4fqWEYhsq//Z24Mo6aPOzKvOrKY6nRUM5TXmlWpdkiXy93ubg0Pddpbr7WGHXlk1eO2xZjNpeLYXSsG1VcXFy0ceNGTZs2zdo2ZswYjR49Ws8//7wkyWKxqF+/fnrwwQc1f/58ffDBB1q6dKk2btwoSXr44YcVERGhGTNm1DlGRUWFKiq++wNlMpnUr18/FRUVydfXt+0ODujgBsx/19EhoBX179lZv/vRjfp/r2U2epuX48L1wcmv9fK+0y0a+52EsXrvkzy9sPukJMm7k5uCunvLVF6lguLaCeaqe2/Rr14/KElKnHiDHo0Zal135MsiTXl+n3V5/S/H6O97T2nP8fM2+0i6/fv6zaQhWv/RF/rfjdn1xvb/xg/SgtgbdfvyPfrym3IdWni7TWLw8IZD2pR1TrsenaCB/l10obRStzyx3WYff5w6XJK06F+fSJJSH7xNI4L8JEmvpn+uhe9cbv934m26qa/fNd6ty85eKNO4Z3bp1sE99cHJr9XVy13Fl6oVO6KPtmTn6bYb/DU/dpj+67l9uu8H/fXEtBEN7q+80qxRT2zTgJ5dtPXhHzYqhvbKZDLJz8+vQ3/Okz/BmW058pXmrD+o30++Ub8cN0hmi6Hhi7bqUpVFNwX56d8P3qaklCy9faj1ruS7obePThSUSJJuCvLTkdyiZu0nclBPpZ/6utXiuh75eXdSUXmVgrp568X7wvRfz+279katxMPNVZVmy7U7XuH/5tyq/175QbPGixjYQxmnLzRr26v18fVSnunStTvW4/OnJ1t/fmH3CT2z9Zh1uaunu/5ndD9rPnf0T3fK+9svAu9a+YEOnvlGhx6/Q35XFckuVZk17PGtkqTXfzFGtw3xt1lfWW1R+JPb1a2zh/bOm9ioOB/acEjvZJ2TJOX8KcZa7LpzxV59mlcsSXrjl2N06w2Xx7o6j3sk+vt6KHpIrf3+ftMRvf7hGUnSqOBu2vjrsY2Kp8YrH3xeZx7XWh5JydLGQ7lKmzteg3v5WNv/vvekFm/+VC/eF6aY4X1adcyrNTZ/6hC37zWksrJSmZmZio6Otra5uroqOjpa6enpkqSIiAhlZ2crNzdXJSUl2rJli2JiYurd55IlS+Tn52d99evXr82PAwCczRdflzWpICVJv/2/Iy0uSEnSX3cctxakpMvf+J4oKKmzICXJWpCSpOd3nbBZ97e04zbLi/71Sa2ClCQt3365X0MFKUl6cc8pSdJnBSUqrzLX+ofMpm8Tp7XvX34ftn2SV2sfi/71iTWRuRzjZ9afawpSdcXekNc//EKS9MHJy/84Kr50+ZvdLdmXx993otA6zmvf9m3Ix19e1KUqizXhg3Mhf4IzeSglS5L05LtHJUmFJRW69O2VQjV/Y1uzICXJWpC6cozmoCDVcjVXledeLNdzOz+7Ru/W1dSClCQ9s/XTZo/XWgUpSS0qSF3tyoKUJBVXVNvkc1lnL1p/PvDFN7IY0u7jBbX2k/OVyfrzwn/VzqdOF5bKdKlaZy6UNTq2moKUJGWd+S6OK/OTP/z7u9zp6jzurzvqzqVqClKSdOiK/TZWfXlca9n47d+8q/PqxZsv//49+ubhVh+zuTp8UaqwsFBms1kBAQE27QEBAcrLu5xou7u7a9myZZo4caJGjhypuXPnNvjkmAULFqioqMj6Onv2bJseAwAAgD2RPwEAAHvoEHNKtYapU6dq6tSpjerr6ekpT8/GzdcCAADQUZE/AQCAlujwV0r5+/vLzc1N+fn5Nu35+fnq06dt76EEAABwRuRPAADAHjr8lVIeHh4KCwtTWlqadfJOi8WitLQ0JSYmtsoYNXPFm0yma/QE0BBLRePvD0fHZHavlqWicU8tbEhleUmLfp+u/Ht+9b6qL7nUu2+TydSoca/sV1Jsksn03cdxTXtFWYlMJpPKSoqvuc/K8hJrzFf2vbL9Wi6VXfs9u/K9uNZ+S4uLG923vauJv4M9G6ZB5E9wJuaKMlm+fRqcyWRSsemSzd+zxv5thvNr6ee/PVSVe7b7GBvjyr/d1zqe0uJimUydbPqWlRTX+vtfUvzd/6vVl2p/PpQ0I7e4MrbLcXjUaq++5FJnHlWjrrGu7tfUz7Lm5mtN3X9NPnl1u9nFrc0/fxudPxkdQHFxsXHo0CHj0KFDhiRj+fLlxqFDh4wvvvjCMAzD2LBhg+Hp6WmsW7fOyMnJMR544AGjW7duRl5eXquMf/bsWUMSL168ePHixasDv86ePdsqeUN7Qf7EixcvXrx48Wrr17XyJxfDcP6v/Xbv3q2JE2s/EjIuLk7r1q2TJD3//PNaunSp8vLyNHLkSD377LMaM2ZMq4xvsVh07tw5de3aVS4uLq2yzxo1j0s+e/Ysj0t2Qpw/58b5c36cQ+fWXs6fYRgqLi5WYGCgXF07zswH5E9ozziHzo3z59w4f86tvZy/xuZPHaIo1ZGZTCb5+fmpqKiIPwhOiPPn3Dh/zo9z6Nw4f2gufnecH+fQuXH+nBvnz7k52/nrOF/3AQAAAAAAwGlQlAIAAAAAAIDdUZRq5zw9PbVo0SJ5eno6OhQ0A+fPuXH+nB/n0Llx/tBc/O44P86hc+P8OTfOn3NztvPHnFIAAAAAAACwO66UAgAAAAAAgN1RlAIAAAAAAIDdUZQCAAAAAACA3VGUaseSk5M1YMAAeXl5acyYMcrIyHB0SNelJUuWaPTo0eratat69+6tadOm6dixYzZ9Ll26pISEBPXs2VM+Pj767//+b+Xn59v0OXPmjCZPnqzOnTurd+/eeuyxx1RdXW3TZ/fu3brlllvk6empG264QevWrWvrw7uuPP3003JxcdHDDz9sbePctX+5ubm699571bNnT3l7e+umm27SgQMHrOsNw9DChQv1ve99T97e3oqOjtZnn31ms48LFy5o5syZ8vX1Vbdu3fSLX/xCJSUlNn0+/vhjjRs3Tl5eXurXr5+eeeYZuxxfR2Y2m/X4449r4MCB8vb21uDBg/XEE0/oyuksOX9oC+RQjkf+1LGQQzkf8ifndl3lUAbapQ0bNhgeHh7GmjVrjE8++cSYPXu20a1bNyM/P9/RoV13YmJijLVr1xrZ2dlGVlaW8aMf/cgIDg42SkpKrH1+9atfGf369TPS0tKMAwcOGD/4wQ+MW2+91bq+urraGDFihBEdHW0cOnTI2Lx5s+Hv728sWLDA2ufUqVNG586djaSkJCMnJ8d47rnnDDc3N2Pr1q12Pd6OKiMjwxgwYIBx8803Gw899JC1nXPXvl24cMHo37+/cf/99xsfffSRcerUKeO9994zTpw4Ye3z9NNPG35+fsamTZuMw4cPG1OnTjUGDhxolJeXW/vceeedRmhoqPHhhx8a//nPf4wbbrjBuOeee6zri4qKjICAAGPmzJlGdna28Y9//MPw9vY2XnzxRbseb0fz1FNPGT179jRSU1ON06dPG2+++abh4+Nj/O1vf7P24fyhtZFDtQ/kTx0HOZTzIX9yftdTDkVRqp2KiIgwEhISrMtms9kIDAw0lixZ4sCoYBiGUVBQYEgy9uzZYxiGYVy8eNHo1KmT8eabb1r7HD161JBkpKenG4ZhGJs3bzZcXV2NvLw8a5+VK1cavr6+RkVFhWEYhjFv3jxj+PDhNmPdfffdRkxMTFsfUodXXFxsDBkyxNi+fbsxfvx4a0LFuWv/fvvb3xq33XZbvestFovRp08fY+nSpda2ixcvGp6ensY//vEPwzAMIycnx5Bk7N+/39pny5YthouLi5Gbm2sYhmG88MILRvfu3a3ntGbsoUOHtvYhXVcmT55s/PznP7dp+8lPfmLMnDnTMAzOH9oGOVT7RP7knMihnBP5k/O7nnIobt9rhyorK5WZmano6Ghrm6urq6Kjo5Wenu7AyCBJRUVFkqQePXpIkjIzM1VVVWVzvoYNG6bg4GDr+UpPT9dNN92kgIAAa5+YmBiZTCZ98skn1j5X7qOmD+e85RISEjR58uRa7y/nrv3717/+pfDwcP30pz9V7969NWrUKK1evdq6/vTp08rLy7N5//38/DRmzBibc9itWzeFh4db+0RHR8vV1VUfffSRtc8Pf/hDeXh4WPvExMTo2LFj+uabb9r6MDusW2+9VWlpaTp+/Lgk6fDhw9q3b59iY2Mlcf7Q+sih2i/yJ+dEDuWcyJ+c3/WUQ7nbZRQ0SWFhocxms80fcEkKCAjQp59+6qCoIEkWi0UPP/ywxo4dqxEjRkiS8vLy5OHhoW7dutn0DQgIUF5enrVPXeezZl1DfUwmk8rLy+Xt7d0Wh9ThbdiwQQcPHtT+/ftrrePctX+nTp3SypUrlZSUpN/97nfav3+/fvOb38jDw0NxcXHWc1DX+3/l+endu7fNend3d/Xo0cOmz8CBA2vto2Zd9+7d2+T4Orr58+fLZDJp2LBhcnNzk9ls1lNPPaWZM2dKEucPrY4cqn0if3JO5FDOi/zJ+V1PORRFKaAJEhISlJ2drX379jk6FDTC2bNn9dBDD2n79u3y8vJydDhoBovFovDwcC1evFiSNGrUKGVnZ2vVqlWKi4tzcHS4ln/+859av3693njjDQ0fPlxZWVl6+OGHFRgYyPkDriPkT86HHMq5kT85v+sph+L2vXbI399fbm5utZ5ekZ+frz59+jgoKiQmJio1NVW7du1S3759re19+vRRZWWlLl68aNP/yvPVp0+fOs9nzbqG+vj6+vItUTNlZmaqoKBAt9xyi9zd3eXu7q49e/bo2Weflbu7uwICAjh37dz3vvc9hYSE2LTdeOONOnPmjKTvzkFDfy/79OmjgoICm/XV1dW6cOFCk84zmu6xxx7T/Pnz9bOf/Uw33XST7rvvPj3yyCNasmSJJM4fWh85VPtD/uScyKGcG/mT87ueciiKUu2Qh4eHwsLClJaWZm2zWCxKS0tTZGSkAyO7PhmGocTERG3cuFE7d+6sdXljWFiYOnXqZHO+jh07pjNnzljPV2RkpI4cOWLzR2H79u3y9fW1fmBERkba7KOmD+e8+SZNmqQjR44oKyvL+goPD9fMmTOtP3Pu2rexY8fWeoT48ePH1b9/f0nSwIED1adPH5v332Qy6aOPPrI5hxcvXlRmZqa1z86dO2WxWDRmzBhrn71796qqqsraZ/v27Ro6dCiXnrdAWVmZXF1tUw03NzdZLBZJnD+0PnKo9oP8ybmRQzk38ifnd13lUHabUh1NsmHDBsPT09NYt26dkZOTYzzwwANGt27dbJ5eAfuYM2eO4efnZ+zevdv46quvrK+ysjJrn1/96ldGcHCwsXPnTuPAgQNGZGSkERkZaV1f80jcO+64w8jKyjK2bt1q9OrVq85H4j722GPG0aNHjeTkZB6J2waufHKMYXDu2ruMjAzD3d3deOqpp4zPPvvMWL9+vdG5c2fj9ddft/Z5+umnjW7duhnvvPOO8fHHHxs//vGP63wc7qhRo4yPPvrI2LdvnzFkyBCbx+FevHjRCAgIMO677z4jOzvb2LBhg9G5c2ceadxCcXFxRlBQkPVxxm+//bbh7+9vzJs3z9qH84fWRg7VPpA/dTzkUM6D/Mn5XU85FEWpduy5554zgoODDQ8PDyMiIsL48MMPHR3SdUlSna+1a9da+5SXlxu//vWvje7duxudO3c2pk+fbnz11Vc2+/n888+N2NhYw9vb2/D39zfmzp1rVFVV2fTZtWuXMXLkSMPDw8MYNGiQzRhoHVcnVJy79u/f//63MWLECMPT09MYNmyY8fe//91mvcViMR5//HEjICDA8PT0NCZNmmQcO3bMps/XX39t3HPPPYaPj4/h6+trxMfHG8XFxTZ9Dh8+bNx2222Gp6enERQUZDz99NNtfmwdnclkMh566CEjODjY8PLyMgYNGmT87//+r81jhzl/aAvkUI5H/tTxkEM5F/In53Y95VAuhmEY9rkmCwAAAAAAALiMOaUAAAAAAABgdxSlAAAAAAAAYHcUpQAAAAAAAGB3FKUAAAAAAABgdxSlAAAAAAAAYHcUpQAAAAAAAGB3FKUAAAAAAABgdxSlAAAAAAAAYHcUpQAAAAAAAGB3FKUAAAAAAABgdxSlAAAAAAAAYHcUpQAAAAAAAGB3FKUAAAAAAABgdxSlAAAAAAAAYHcUpQAAAAAAAGB3FKUAAAAAAABgdxSlAAAAAAAAYHcUpQAAAAAAAGB3FKUAOL1169bJxcVFBw4cqHP9hAkTNGLECOvygAED5OLiUufrzjvvrLX9xx9/rPj4eA0cOFBeXl7y8fHRyJEjNW/ePJ06darF8VssFq1bt05Tp05Vv3791KVLF40YMUJPPvmkLl261OL9AwAA1MXZcyhJWr16tcaPH6+AgAB5enpq4MCBio+P1+eff94q+wfQttwdHQAAOMLIkSM1d+7cWu2BgYE2y6tXr9acOXPk7++vmTNnatiwYaqurlZ2drZeffVVrVixQuXl5XJzc2t2LGVlZYqPj9cPfvAD/epXv1Lv3r2Vnp6uRYsWKS0tTTt37pSLi0uz9w8AANBa2lMOJUmHDh3SwIEDNXXqVHXv3l2nT5/W6tWrlZqaqsOHD9eKC0D7QlEKwHUpKChI9957b4N9PvjgA82ZM0djx45VamqqunbtarN+2bJleuqpp645louLi9auXav777+/zvUeHh56//33deutt1rbZs+erQEDBlgLU9HR0dc+KAAAgDbWnnIoSXrhhRdqtU2bNk3h4eF69dVXNX/+/GuOA8BxuH0PAOrxxz/+US4uLlq/fn2tZEqSvLy89MQTT7T4Gz4PDw+bglSN6dOnS5KOHj3aov0DAADYk71yqPoMGDBAknTx4sU22T+A1sOVUgA6jKKiIhUWFtZqr6qqqrOtrr5dunSRt7e3ysrKtHPnTk2YMEF9+/Ztk3ivJS8vT5Lk7+/vkPEBAMD1oSPkUF9//bXMZrPOnDmjP/3pT5KkSZMm2W18AM1DUQpAh9HQLW7Dhw+3Wd62bZt69epVq9+SJUs0f/58nThxQtXV1TaTe9a4cOGCLBaLddnX11ceHh4tiLxuzzzzjHx9fRUbG9vq+wYAAKjREXKooKAgVVRUSJJ69uypZ599Vrfffnur7BtA26EoBaDDSE5O1ve///1a7XPnzpXZbLZpGzNmjJ588slafYcMGSJJMplMkiQfH59afQYNGqSioiLr8ptvvqm77rpL0uVJy8vKymptU1JSYvOtopubm7p3717vsSxevFg7duzQCy+8oG7dutXbDwAAoKU6Qg61ZcsWXbp0SUePHtXrr7+u0tLSOo8VQPtCUQpAhxEREaHw8PBa7d27d691mbm/v3+D3wrWzH9QUlJSa90777yjqqoqHT58WI8++qjNumeeeUZ//OMfa23z4IMP6sEHH7Qu9+/fv95HFaekpOj3v/+9fvGLX2jOnDn1xggAANAaOkIONXHiRElSbGysfvzjH2vEiBHy8fFRYmJivbECcDyKUgBQhxtuuEHu7u7Kzs6utW78+PGSJHf32n9CZ82apdtuu82m7fbbb9djjz2mO+64w9rm7e1d57jbt2/XrFmzNHnyZK1ataolhwAAAGB3jsqhrjR48GCNGjVK69evpygFtHMUpQCgDl26dNGECRO0Z88e5ebmKigoqFHbDRo0SIMGDarVHhIS0uC3ipL00Ucfafr06QoPD9c///nPOhM2AACA9swROVRdysvLrXNMAWi/XB0dAAC0VwsXLpTZbNa9995b5yXohmG02lhHjx7V5MmTNWDAAKWmpjbqW0AAAID2yF45VHV1tb755pta7RkZGTpy5EidtyQCaF/4Gh7AdSk3N1evv/56rXYfHx9NmzZNkjRu3Dg9//zzevDBBzVkyBDNnDlTw4YNU2VlpY4fP67169fLw8NDffr0aVEsxcXFiomJ0TfffKPHHntM7777rs36wYMHKzIyskVjAAAAtIb2lEOVlJSoX79+uvvuuzV8+HB16dJFR44c0dq1a+Xn56fHH3+8RfsH0PYoSgG4LmVlZem+++6r1d6/f39rQiVJc+bMUWRkpP7617/qzTffVF5enjp16qTBgwcrLi5Oc+bM0eDBg1sUy9dff62zZ89KkubPn19rfVxcHEUpAADQLrSnHKpz58765S9/qV27dumtt95SeXm5AgMDdc899+j3v/+9BgwY0KL9A2h7LkZr3n8CAAAAAAAANAJzSgEAAAAAAMDuKEoBAAAAAADA7ihKAQAAAAAAwO4oSgEAAAAAAMDuKEoBAAAAAADA7ihKAQAAAAAAwO4oSl0lNTVVQ4cO1ZAhQ/TSSy85OhwAAIB2bfr06erevbvuuusuR4cCAACcjIthGIajg2gvqqurFRISol27dsnPz09hYWH64IMP1LNnzwa3s1gsOnfunLp27SoXFxc7RQsAAOzBMAwVFxcrMDBQrq58n3e13bt3q7i4WK+88oreeuutRm9H/gQAQMfV2PzJ3Y4xtXsZGRkaPny4goKCJEmxsbHatm2b7rnnnga3O3funPr162ePEAEAgIOcPXtWffv2dXQY7c6ECRO0e/fuJm9H/gQAQMd3rfzJLkWpJUuW6O2339ann34qb29v3Xrrrfrzn/+soUOHttoYe/fu1dKlS5WZmamvvvpKGzdu1LRp02r1S05O1tKlS5WXl6fQ0FA999xzioiIkHQ5OaopSElSUFCQcnNzrzl2165dJV1+s319fVvngAAAQLtgMpnUr18/6+d9R9KY/Kmh3KklyJ8AAOi4Gps/2aUotWfPHiUkJGj06NGqrq7W7373O91xxx3KyclRly5davV///33FRERoU6dOtm05+TkqGfPngoICKi1TWlpqUJDQ/Xzn/9cP/nJT+qMIyUlRUlJSVq1apXGjBmjFStWKCYmRseOHVPv3r2bfXw1l5z7+vqSVAEA0EF1xFvMrpU/tVXuJJE/AQBwPbhW/mSXiRG2bt2q+++/X8OHD1doaKjWrVunM2fOKDMzs1Zfi8WihIQEzZgxQ2az2dp+7NgxRUVF6ZVXXqlzjNjYWD355JOaPn16vXEsX75cs2fPVnx8vEJCQrRq1Sp17txZa9askSQFBgbaXBmVm5urwMDA5h42AADXlY2HvtSKHccdHQaa4Fr507Vyp6aoqKiQyWSyeQEAgOubQ2brLCoqkiT16NGj1jpXV1dt3rxZhw4d0qxZs2SxWHTy5ElFRUVp2rRpmjdvXrPGrKysVGZmpqKjo23Gio6OVnp6uiQpIiJC2dnZys3NVUlJibZs2aKYmJh695mcnKyQkBCNHj26WTEBANCRPJJyWCt2fKZDZ75xdChoBY3JnZpiyZIl8vPzs76YTwoAANi9KGWxWPTwww9r7NixGjFiRJ19AgMDtXPnTu3bt08zZsxQVFSUoqOjtXLlymaPW1hYKLPZXOvWv4CAAOXl5UmS3N3dtWzZMk2cOFEjR47U3LlzG3zyXkJCgnJycrR///5mxwUAQEdzsazK0SGgFTQmd5Kk6Oho/fSnP9XmzZvVt2/fegtWCxYsUFFRkfV19uzZNo0fAAC0f3Z/+l5CQoKys7O1b9++BvsFBwfrtdde0/jx4zVo0CC9/PLLdpnLYerUqZo6dWqbjwMAANAR7Nixo1H9PD095enpqeTkZCUnJ9tM0wAAAK5Pdr1SKjExUampqdq1a9c1H6mcn5+vBx54QFOmTFFZWZkeeeSRFo3t7+8vNzc35efn1xqnT58+Ldo3AABAR9NWuRNXmgMAgBp2KUoZhqHExERt3LhRO3fu1MCBAxvsX1hYqEmTJunGG2/U22+/rbS0NKWkpOjRRx9tdgweHh4KCwtTWlqatc1isSgtLU2RkZHN3i8AAEBHRO4EAADaml1u30tISNAbb7yhd955R127drXOQ+Dn5ydvb2+bvhaLRbGxserfv79SUlLk7u6ukJAQbd++XVFRUQoKCqrzqqmSkhKdOHHCunz69GllZWWpR48eCg4OliQlJSUpLi5O4eHhioiI0IoVK1RaWqr4+Pg2PHoAAID26Vr5U1vkTty+BwAAargYhmG0+SD1zAW1du1a3X///bXat2/frnHjxsnLy8um/dChQ+rVq1edt/7t3r1bEydOrNUeFxendevWWZeff/55LV26VHl5eRo5cqSeffZZjRkzpmkHdBWTySQ/Pz8VFRXJ19e3RfsCAMBZDZj/riRp7f2jNXFYbwdH03o68ud8Y/KntsidpI79vgIAcL1r7Oe8XYpSHR1JFQAAFKXQNLyvAAB0XI39nLfrROfOIDU1VUOHDtWQIUP00ksvOTocAACADiU5OVkhISEaPXq0o0MBAAAORlHqCtXV1UpKStLOnTt16NAhLV26VF9//bWjwwIAAOgwePoeAACoQVHqChkZGRo+fLiCgoLk4+Oj2NhYbdu2zdFhAQAAAAAAdDhNLkrt3btXU6ZMUWBgoFxcXLRp06YG+5vNZj3++OMaOHCgvL29NXjwYD3xxBNq7amsGhtXcnKyBgwYIC8vL40ZM0YZGRnWdefOnVNQUJB1OSgoSLm5ua0aJwAAwPWM2/cAAECNJhelSktLFRoaquTk5Eb1//Of/6yVK1fq+eef19GjR/XnP/9ZzzzzjJ577rl6t3n//fdVVVVVqz0nJ0f5+fnNjislJUVJSUlatGiRDh48qNDQUMXExKigoKBRxwIAAICW4fY9AABQo8lFqdjYWD355JOaPn16o/p/8MEH+vGPf6zJkydrwIABuuuuu3THHXfYXKF0JYvFooSEBM2YMUNms9nafuzYMUVFRemVV15pdlzLly/X7NmzFR8fr5CQEK1atUqdO3fWmjVrJEmBgYE2V0bl5uYqMDCwUccJAAAAAACAxmvzOaVuvfVWpaWl6fjx45Kkw4cPa9++fYqNja07IFdXbd68WYcOHdKsWbNksVh08uRJRUVFadq0aZo3b16z4qisrFRmZqaio6NtxoqOjlZ6erokKSIiQtnZ2crNzVVJSYm2bNmimJiYZo0HAACA2rh9DwAA1HBv6wHmz58vk8mkYcOGyc3NTWazWU899ZRmzpxZ7zaBgYHauXOnxo0bpxkzZig9PV3R0dFauXJls+MoLCyU2WxWQECATXtAQIA+/fRTSZK7u7uWLVumiRMnymKxaN68eerZs2e9+0xOTlZycrLNFV0AAACoX0JCghISEmQymeTn5+focAAAgAO1eVHqn//8p9avX6833nhDw4cPV1ZWlh5++GEFBgYqLi6u3u2Cg4P12muvafz48Ro0aJBefvllubi4tHW4mjp1qqZOndqoviRVAAAAAAAAzdPmt+899thjmj9/vn72s5/ppptu0n333adHHnlES5YsaXC7/Px8PfDAA5oyZYrKysr0yCOPtCgOf39/ubm51ZooPT8/X3369GnRvgEAAAAAANA0bV6UKisrk6ur7TBubm6yWCz1blNYWKhJkybpxhtv1Ntvv620tDSlpKTo0UcfbXYcHh4eCgsLU1pamrXNYrEoLS1NkZGRzd4vAAAAAAAAmq7Jt++VlJToxIkT1uXTp08rKytLPXr0UHBwsJ5//nlt3LjRWvyZMmWKnnrqKQUHB2v48OE6dOiQli9frp///Od17t9isSg2Nlb9+/dXSkqK3N3dFRISou3btysqKkpBQUF1XjV1rbgkKSkpSXFxcQoPD1dERIRWrFih0tJSxcfHN/VtAAAAQDMwJycAAKjR5KLUgQMHNHHiROtyUlKSJCkuLk7r1q1TYWGhTp48aV3/3HPP6fHHH9evf/1rFRQUKDAwUP/v//0/LVy4sM79u7q6avHixRo3bpw8PDys7aGhodqxY4d69erVrLgk6e6779b58+e1cOFC5eXlaeTIkdq6dWutyc8BAADQNpiTEwAA1HAxDMNwdBDOriapKioqkq+vr6PDAQDAIQbMf1eStPb+0Zo4rLeDo2k9fM63Dd5XAAA6rsZ+zrf5nFIAAAAAAADA1ShKAQAAAAAAwO4oSl0lNTVVQ4cO1ZAhQ/TSSy85OhwAAAAAAIAOqckTnXdk1dXVSkpK0q5du+Tn56ewsDBNnz5dPXv2dHRoAAAAHQJP3wMAADW4UuoKGRkZGj58uIKCguTj46PY2Fht27bN0WEBAAB0GAkJCcrJydH+/fsdHQoAAHCwJhel9u7dqylTpigwMFAuLi7atGlTo7bLzc3Vvffeq549e8rb21s33XSTDhw40NThWxxbcnKyBgwYIC8vL40ZM0YZGRnWdefOnVNQUJB1OSgoSLm5ua0aIwAAAAAAAJpRlCotLVVoaKiSk5Mbvc0333yjsWPHqlOnTtqyZYtycnK0bNkyde/evc7+77//vqqqqmq15+TkKD8/v9mxpaSkKCkpSYsWLdLBgwcVGhqqmJgYFRQUNPpYAAAAAAAA0HJNnlMqNjZWsbGxTdrmz3/+s/r166e1a9da2wYOHFhnX4vFooSEBA0ZMkQbNmyQm5ubJOnYsWOKiopSUlKS5s2b16zYli9frtmzZys+Pl6StGrVKr377rtas2aN5s+fr8DAQJsro3JzcxUREdGkYwUAAAAAAMC12WVOqX/9618KDw/XT3/6U/Xu3VujRo3S6tWr6w7I1VWbN2/WoUOHNGvWLFksFp08eVJRUVGaNm1avQWpa6msrFRmZqaio6NtxoqOjlZ6erokKSIiQtnZ2crNzVVJSYm2bNmimJiYZo0HAAAAAACA+tmlKHXq1CmtXLlSQ4YM0Xvvvac5c+boN7/5jV555ZU6+wcGBmrnzp3at2+fZsyYoaioKEVHR2vlypXNjqGwsFBms1kBAQE27QEBAcrLy5Mkubu7a9myZZo4caJGjhypuXPnNvjkveTkZIWEhGj06NHNjgsAAAAAAOB61OTb95rDYrEoPDxcixcvliSNGjVK2dnZWrVqleLi4urcJjg4WK+99prGjx+vQYMG6eWXX5aLi0ubxzp16lRNnTq1UX0TEhKUkJAgk8kkPz+/No4MAAAAAACg47DLlVLf+973FBISYtN244036syZM/Vuk5+frwceeEBTpkxRWVmZHnnkkRbF4O/vLzc3t1oTpefn56tPnz4t2jcAAAAahyvNAQBADbsUpcaOHatjx47ZtB0/flz9+/evs39hYaEmTZqkG2+8UW+//bbS0tKUkpKiRx99tNkxeHh4KCwsTGlpadY2i8WitLQ0RUZGNnu/AAAAaLyEhATl5ORo//79jg4FAAA4WJNv3yspKdGJEyesy6dPn1ZWVpZ69Oih4OBgPf/889q4caNN8eeRRx7RrbfeqsWLF+t//ud/lJGRob///e/6+9//Xmv/FotFsbGx6t+/v1JSUuTu7q6QkBBt375dUVFRCgoKqveqqWvFlpSUpLi4OIWHhysiIkIrVqxQaWmp9Wl8AAAAAAAAsI8mF6UOHDigiRMnWpeTkpIkSXFxcVq3bp0KCwt18uRJm21Gjx6tjRs3asGCBfrTn/6kgQMHasWKFZo5c2at/bu6umrx4sUaN26cPDw8rO2hoaHasWOHevXq1ezY7r77bp0/f14LFy5UXl6eRo4cqa1bt9aa/BwAAAAAAABty8UwDMPRQTi7monOi4qK5Ovr6+hwAABwiAHz35Ukrb1/tCYO6+3gaFoPn/Ntg/cVAICOq7Gf83aZUwoAAAAAAAC4EkUpAAAAAAAA2B1FKQAAAAAAANgdRSkAAAA0S2pqqoYOHaohQ4bopZdecnQ4AADAyVCUugrJFQAAwLVVV1crKSlJO3fu1KFDh7R06VJ9/fXXjg4LAAA4EYpSVyC5AgAAaJyMjAwNHz5cQUFB8vHxUWxsrLZt2+bosAAAgBOhKHUFkisAAHC92Lt3r6ZMmaLAwEC5uLho06ZNtfokJydrwIAB8vLy0pgxY5SRkWFdd+7cOQUFBVmXg4KClJuba4/QAQBAB9HkolRjEpiGPP3003JxcdHDDz/c1KFbJTaSKwAAAKm0tFShoaFKTk6uc31KSoqSkpK0aNEiHTx4UKGhoYqJiVFBQYGdIwUAAB1Vk4tS10pgGrJ//369+OKLuvnmmxvs9/7776uqqqpWe05OjvLz85sdG8kVAADAZbGxsXryySc1ffr0OtcvX75cs2fPVnx8vEJCQrRq1Sp17txZa9askSQFBgbafHmXm5urwMDAeserqKiQyWSyeQGOUnypSr98Zb82HWr6F9AfnChU3JoMnb1Q1gaRoTFe+s8p/eYfh2S2GPX2efPAWc1+9YDKK812jMy5vPvxV/r5uv26WFbp6FBkthj6zT8O6aX/nGqzMQqKLyl+bYZ25HxXUyivNGv2qwf0bNpnGrjgXd3wu806e6FMv16fqdfSP2+zWPCdJhelrpXA1KekpEQzZ87U6tWr1b1793r7WSwWJSQkaMaMGTKbv/sDcuz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",
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",
       "text/plain": [
        "<Figure size 1200x1000 with 12 Axes>"
       ]
@@ -338,7 +349,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b7ec303b",
+   "id": "e1cba12c",
    "metadata": {},
    "source": [
     "This can then be analyzed in your favorite spectral analysis tool, e.g., [pyXspec](https://heasarc.gsfc.nasa.gov/xanadu/xspec/python/html/index.html).  (For the winter 2018 AAS workshop, we demonstrated this in a [notebook](https://github.com/NASA-NAVO/aas_workshop_2018/blob/master/heasarc/heasarc_Spectral_Access.md) that you can consult for how to use pyXspec, but the pyXspec documentation will have more information.)"
@@ -347,7 +358,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "f1893703",
+   "id": "922566e1",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -379,7 +390,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.10.14"
   },
   "nav_menu": {},
   "source_map": [
diff --git a/_sources/content/reference_notebooks/ucds_unified_content_descriptors.ipynb b/_sources/content/reference_notebooks/ucds_unified_content_descriptors.ipynb
index c41c5b8..64432a6 100644
--- a/_sources/content/reference_notebooks/ucds_unified_content_descriptors.ipynb
+++ b/_sources/content/reference_notebooks/ucds_unified_content_descriptors.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "bcfeeadd",
+   "id": "54d1fd25",
    "metadata": {},
    "source": [
     "# UCDs (Unified Content Descriptors)\n",
@@ -21,7 +21,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "8c19abe9",
+   "id": "b75c4829",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f5c5651e",
+   "id": "6aeef90c",
    "metadata": {},
    "source": [
     "Let's look at some tables in a little more detail.  Let's find the Hubble Source Catalog version 3 (HSCv3), assuming there's only one at MAST."
@@ -44,7 +44,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "0470de9b",
+   "id": "3fb87686",
    "metadata": {},
    "outputs": [
     {
@@ -68,7 +68,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "65c453ba",
+   "id": "32854b25",
    "metadata": {},
    "source": [
     "Now let's see what tables are provided by this service for HSCv3.  Note that this is another query to the service:"
@@ -77,23 +77,15 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "17861ccc",
+   "id": "b625b4f1",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "32 tables:\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "13 tables:\n",
       "tap_schema.schemas             - description of schemas in this dataset\n",
-      "----\n",
-      "tap_schema.tables              - description of tables in this dataset\n",
       "----\n"
      ]
     },
@@ -101,6 +93,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "tap_schema.tables              - description of tables in this dataset\n",
+      "----\n",
       "tap_schema.columns             - description of columns in this dataset\n",
       "----\n",
       "tap_schema.keys                - description of foreign keys in this dataset\n",
@@ -113,115 +107,11 @@
      "text": [
       "tap_schema.key_columns         - description of foreign key columns in this dataset\n",
       "----\n",
-      "dbo.DetailedCatalog            - None\n",
-      "----\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "dbo.SumMagAper2Cat             - None\n",
-      "----\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "dbo.SumMagAutoCat              - None\n",
-      "----\n",
-      "dbo.Catalog_ACS_SourceExtractor - None\n",
-      "----\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "dbo.Catalog_WFC3_SourceExtractor - None\n",
-      "----\n",
-      "dbo.Catalog_WFPC2_SourceExtractor - None\n",
-      "----\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "dbo.Catalog_Image_MetaData     - None\n",
-      "----\n",
-      "dbo.CloseMatch                 - None\n",
-      "----\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "dbo.ClosestMatch               - None\n",
+      "dbo.detailedcatalog            - Detailed list of source catalog parameters\n",
       "----\n",
-      "dbo.GroupMembers               - None\n",
-      "----\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "dbo.Groups                     - None\n",
-      "----\n",
-      "dbo.HCVdetailedView            - None\n",
-      "----\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "dbo.HCVsummaryView             - None\n",
-      "----\n",
-      "dbo.HLAscience                 - None\n",
-      "----\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "dbo.ImageMembers               - None\n",
-      "----\n",
-      "dbo.Images                     - None\n",
-      "----\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "dbo.ProductMembers             - None\n",
-      "----\n",
-      "dbo.ProperMotionsView          - None\n",
-      "----\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "dbo.SourceLinks                - None\n",
-      "----\n",
-      "dbo.SourcePositionsView        - None\n",
-      "----\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "dbo.Sources                    - None\n",
+      "dbo.hcvdetailedview            - Detailed list of Hubble Catalog of Variables parameters\n",
       "----\n",
-      "dbo.SumMagAper2CatView         - None\n",
+      "dbo.hcvsummaryview             - Summary list of Hubble Catalog of Variables parameters\n",
       "----\n"
      ]
     },
@@ -229,9 +119,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "dbo.SumMagAutoCatView          - None\n",
+      "dbo.propermotionsview          - List of proper motion information\n",
       "----\n",
-      "dbo.WFPC2PCFRAC                - None\n",
+      "dbo.sourcepositionsview        - List of source position information\n",
       "----\n"
      ]
     },
@@ -239,9 +129,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "dbo.XMatchV2                   - None\n",
+      "dbo.summagaper2catview         - Summary list of source catalog with Aper2 magnitudes\n",
       "----\n",
-      "dbo.HCVdetailedViewT           - None\n",
+      "dbo.summagautocatview          - Summary list of source catalog with MagAuto magnitudes\n",
       "----\n"
      ]
     },
@@ -249,7 +139,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "dbo.HCVsummaryViewT            - None\n",
+      "dbo.catalog_image_metadata     - Summary list of Image processing metadata\n",
       "----\n"
      ]
     }
@@ -263,7 +153,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e51d5708",
+   "id": "df76b5a1",
    "metadata": {},
    "source": [
     "Let's look at the first 10 columns of the DetailedCatalog table.  Again, note that calling the columns attribute sends another query to the service to ask for the columns."
@@ -272,92 +162,92 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "37b0243a",
+   "id": "470d12da",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CatID [meta.id;meta.main]      - Unique identifier for the catalog entry\n",
-      "MatchID [meta.id.cross]        - identifier for the match\n",
-      "MemID [meta.id.assoc]          - Unique identifier for each source of a match\n",
-      "SourceID [meta.id.assoc]       - Source identifier from white light (detection) image\n",
-      "ImageID [meta.id.parent]       - Identifier for the HLA image\n",
-      "Det [meta.code.status]         - Is source detected in this observation (Y/N)\n",
-      "MatchRA [pos.eq.ra;meta.main]  - Right Ascension (J2000)of match\n",
-      "MatchDec [pos.eq.dec;meta.main] - Declination (J2000) of match\n",
-      "SourceRA [pos.eq.ra;meta.main] - Right Ascension (J2000)of source\n",
-      "SourceDec [pos.eq.dec;meta.main] - Declination (J2000) of source\n",
-      "D [pos.angDistance]            - distance between source and match\n",
-      "Dsigma [stat.stdev;pos.angDistance] - std dev of distance between source and match\n",
-      "AbsCorr [meta.code.status]     - Astrometry correction flag\n",
-      "Ximage [pos.cartesian.x]       - X position of source in image coordinates\n",
-      "Yimage [pos.cartesian.y]       - Y position of source in image coordinates\n",
-      "ImageName [meta.dataset]       - HLA image Name\n",
-      "Instrument [instr]             - Instrument\n",
-      "Mode [instr.setup]             - Observing mode\n",
-      "Detector [instr.setup;instr.det] - Detector\n",
-      "Aperture [instr.setup]         - Aperture\n",
-      "ExposureTime [time.duration]   - Exposure time\n",
-      "StartTime [time.start]         - Observation Start Time\n",
-      "StopTime [time.end]            - Observation Stop Time\n",
-      "StartMJD [time.start]          - Observation MJD Start Time\n",
-      "StopMJD [time.end]             - Observation MJD Stop Time\n",
-      "Wavelength [em.wl]             - Pivot wavelength in Angstroms\n",
-      "Filter [instr.setup;instr.filter] - Filter\n",
-      "TargetName [meta.id.assoc]     - Target Name for observation\n",
-      "FluxAper2 [phot.flux]          - Count rate with an aperture radius 0.3 arcsec (WFPC2); 0.15 arcsec (ACS and WFC3/UVIS); 0.45 arcsec (WFC3/IR)\n",
-      "MagAper2 [phot.mag]            - Magnitude  with an aperture radius 0.3 arcsec (WFPC2); 0.15 arcsec (ACS and WFC3/UVIS); 0.45 arcsec (WFC3/IR)\n",
-      "MagAuto [phot.mag]             - Estimated total magnitude using Source Extractor algorithm\n",
-      "PropID [obs.param]             - HST proposal number\n",
-      "CI [phot.mag;arith.diff]       - Normalized (by detector and filter) mean value of Concentration Index defined as difference between magnitude in small and large apertures\n",
-      "KronRadius [phys.size.radius;stat.mean] - Mean value of the Kron Radius from Source Extractor\n",
-      "Flags [meta.code.status]       - Bit encoded flag: bit 0 (value 0) = point source; (value 1) = extended; bits 1 or 2 (values 2 or 4) = saturated\n"
+      "catid [meta.id;meta.main]      - unique identifier for the catalog entry\n",
+      "matchid [meta.id.cross]        - identifier for the match\n",
+      "memid [meta.id.assoc]          - unique identifier for each source of a match\n",
+      "sourceid [meta.id.assoc]       - source identifier from white light (detection) image\n",
+      "imageid [meta.id.parent]       - identifier for the hla image\n",
+      "det [meta.code.status]         - is source detected in this observation (y/n)\n",
+      "matchra [pos.eq.ra;meta.main]  - right ascension (j2000)of match\n",
+      "matchdec [pos.eq.dec;meta.main] - declination (j2000) of match\n",
+      "sourcera [pos.eq.ra;meta.main] - right ascension (j2000)of source\n",
+      "sourcedec [pos.eq.dec;meta.main] - declination (j2000) of source\n",
+      "d [pos.angdistance]            - distance between source and match\n",
+      "dsigma [stat.stdev;pos.angdistance] - std dev of distance between source and match\n",
+      "abscorr [meta.code.status]     - astrometry correction flag\n",
+      "ximage [pos.cartesian.x]       - x position of source in image coordinates\n",
+      "yimage [pos.cartesian.y]       - y position of source in image coordinates\n",
+      "imagename [meta.dataset]       - hla image name\n",
+      "instrument [instr]             - instrument\n",
+      "mode [instr.setup]             - observing mode\n",
+      "detector [instr.setup;instr.det] - detector\n",
+      "aperture [instr.setup]         - aperture\n",
+      "exposuretime [time.duration]   - exposure time\n",
+      "starttime [time.start]         - observation start time\n",
+      "stoptime [time.end]            - observation stop time\n",
+      "startmjd [time.start]          - observation mjd start time\n",
+      "stopmjd [time.end]             - observation mjd stop time\n",
+      "wavelength [em.wl]             - pivot wavelength in angstroms\n",
+      "filter [instr.setup;instr.filter] - filter\n",
+      "targetname [meta.id.assoc]     - target name for observation\n",
+      "fluxaper2 [phot.flux]          - count rate with an aperture radius 0.3 arcsec (wfpc2); 0.15 arcsec (acs and wfc3/uvis); 0.45 arcsec (wfc3/ir)\n",
+      "magaper2 [phot.mag]            - magnitude  with an aperture radius 0.3 arcsec (wfpc2); 0.15 arcsec (acs and wfc3/uvis); 0.45 arcsec (wfc3/ir)\n",
+      "magauto [phot.mag]             - estimated total magnitude using source extractor algorithm\n",
+      "propid [obs.param]             - hst proposal number\n",
+      "ci [phot.mag;arith.diff]       - normalized (by detector and filter) mean value of concentration index defined as difference between magnitude in small and large apertures\n",
+      "kronradius [phys.size.radius;stat.mean] - mean value of the kron radius from source extractor\n",
+      "flags [meta.code.status]       - bit encoded flag: bit 0 (value 0) = point source; (value 1) = extended; bits 1 or 2 (values 2 or 4) = saturated\n"
      ]
     }
    ],
    "source": [
-    "columns=tables['dbo.DetailedCatalog'].columns\n",
+    "columns=tables['dbo.detailedcatalog'].columns\n",
     "for c in columns:\n",
     "    print(f'{f\"{c.name} [{c.ucd}]\":30s} - {c.description}')"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "dd4b1a50",
+   "id": "8c94417c",
    "metadata": {},
    "source": [
-    "The PyVO method to get the columns will automatically fetch all the meta-data about those columns.  It's up to the service provider to set them correctly, of course, but in this case, we see that the column named \"MatchRA\" is identified with the UCD \"pos.eq.ra\".\n",
+    "The PyVO method to get the columns will automatically fetch all the meta-data about those columns.  It's up to the service provider to set them correctly, of course, but in this case, we see that the column named \"matchra\" is identified with the UCD \"pos.eq.ra\".\n",
     "\n",
-    "So if we did not know the exact name used in HSCv3 for the RA, we could do something like this looking for the string \"RA\":"
+    "So if we did not know the exact name used in HSCv3 for the RA, we could do something like this looking for the string \"ra\":"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "228cb68d",
+   "id": "fa16dd64",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "['MatchRA', 'SourceRA']\n"
+      "['matchra', 'sourcera', 'kronradius']\n"
      ]
     }
    ],
    "source": [
-    "ra_name=[c.name for c in columns if 'RA' in c.name or \"ascension\" in c.name.lower()]\n",
+    "ra_name=[c.name for c in columns if 'ra' in c.name.lower() or \"ascension\" in c.name.lower()]\n",
     "print(ra_name)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "dfb40501",
+   "id": "61cee5ce",
    "metadata": {},
    "source": [
-    "But a more general approach is to check for the correct UCD.  It also has the further advantage that it can be used to label columns that should be used for certain purposes when there are multiple possibilities.  For instance, this table has MatchRA and SourceRA.  Let's check the UCD:\n",
+    "Since that guessing doesn't give a unique answer, the more general and reliable approach is to check for the correct UCD.  It also has the further advantage that it can be used to label columns that should be used for certain purposes when there are multiple possibilities.  For instance, this table has MatchRA and SourceRA.  Let's check the UCD:\n",
     "\n",
     "(Note that the UCD is not required.  If it isn't there, you get a None type, so code the check carefully)"
    ]
@@ -365,13 +255,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "40bdb1ac",
+   "id": "86820b90",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "('MatchRA', 'MatchDec')"
+       "('matchra', 'matchdec')"
       ]
      },
      "execution_count": 6,
@@ -387,7 +277,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "513ee2f2",
+   "id": "221f723f",
    "metadata": {},
    "source": [
     "What that shows you is that though there are two columns in this table that give RA information, only one has the 'pos.eq.ra' UCD. The documentation for this ought to explain the usage of these columns, and the UCD should not be used as a substitute for understanding the table. But it can be a useful tool."
@@ -395,7 +285,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8257f521",
+   "id": "8a72da16",
    "metadata": {},
    "source": [
     "In particular, you can use the UCDs to look for catalogs that might have the information you're interested in. Then you can code the same query to work for different tables (with different column names) in a loop.  This sends a bunch of queries but doesn't take too long, a minute maybe. (One is particularly slow.)"
@@ -404,7 +294,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "57966909",
+   "id": "cacd0f7c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -448,7 +338,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "798e30d8",
+   "id": "e9288511",
    "metadata": {},
    "source": [
     "You can also use UCDs to look at the results.  Above, we collected just the first 10 rows of the four columns we're interested in from every catalog that had them.  But these tables still have their original column names.  So the UCDs will still be useful, and PyVO provides a simple routine to convert from UCD to column (field) name.\n",
@@ -461,7 +351,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "ca950a46",
+   "id": "1edb67c1",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -482,7 +372,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "676f079c",
+   "id": "e2b6ceab",
    "metadata": {},
    "source": [
     "Lastly, if you have a table of results from a TAP query (and if that service includes the UCDs), then you can get data based on UCDs with the getbyucd() method, which simply gets the corresponding element using fieldname_with_ucd():"
@@ -491,22 +381,22 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "067991a8",
+   "id": "37bfa23f",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[20.276399612426758,\n",
-       " 22.451000213623047,\n",
-       " 25.335100173950195,\n",
-       " 22.437999725341797,\n",
-       " 24.32939910888672,\n",
-       " 21.936500549316406,\n",
-       " 25.478700637817383,\n",
-       " 21.499900817871094,\n",
-       " 19.24180030822754,\n",
-       " 24.578399658203125]"
+       "[np.float64(20.276399612426758),\n",
+       " np.float64(22.451000213623047),\n",
+       " np.float64(25.335100173950195),\n",
+       " np.float64(22.437999725341797),\n",
+       " np.float64(24.32939910888672),\n",
+       " np.float64(21.936500549316406),\n",
+       " np.float64(25.478700637817383),\n",
+       " np.float64(21.499900817871094),\n",
+       " np.float64(19.24180030822754),\n",
+       " np.float64(24.578399658203125)]"
       ]
      },
      "execution_count": 9,
@@ -515,13 +405,13 @@
     }
    ],
    "source": [
-    "results=hsc.service.search(\"select top 10 * from dbo.DetailedCatalog\")\n",
+    "results=hsc.service.search(\"select top 10 * from dbo.detailedcatalog\")\n",
     "[r.getbyucd('phot.mag') for r in results]"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "a2ca6e76",
+   "id": "529cab9a",
    "metadata": {},
    "source": [
     "Note that we can see earlier in this notebook, when we looked at this table's contents, that there are two phot.mag fields in this table, MagAper2 and MagAuto.  The getbyucd() and fieldname_with_ucd() routines do not currently allow you to handle multiple columns with the same UCD.  The code can help you find what you want, but it depends on the meta data the service defines, and you still must look at the detailed information for each catalog you use to understand what it contains."
@@ -530,7 +420,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "f3c925f7",
+   "id": "4072efc2",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -543,11 +433,11 @@
     "extension": ".md",
     "format_name": "myst",
     "format_version": 0.13,
-    "jupytext_version": "1.14.4"
+    "jupytext_version": "1.16.2"
    }
   },
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -561,7 +451,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.10.14"
   },
   "source_map": [
    23,
diff --git a/_sources/content/reference_notebooks/ucds_unified_content_descriptors.md b/_sources/content/reference_notebooks/ucds_unified_content_descriptors.md
index 115504a..9bf92e1 100644
--- a/_sources/content/reference_notebooks/ucds_unified_content_descriptors.md
+++ b/_sources/content/reference_notebooks/ucds_unified_content_descriptors.md
@@ -5,9 +5,9 @@ jupytext:
     extension: .md
     format_name: myst
     format_version: 0.13
-    jupytext_version: 1.14.4
+    jupytext_version: 1.16.2
 kernelspec:
-  display_name: Python 3
+  display_name: Python 3 (ipykernel)
   language: python
   name: python3
 language_info:
@@ -19,7 +19,7 @@ language_info:
   name: python
   nbconvert_exporter: python
   pygments_lexer: ipython3
-  version: 3.7.10
+  version: 3.11.9
 ---
 
 # UCDs (Unified Content Descriptors)
@@ -65,21 +65,21 @@ for t in tables:
 Let's look at the first 10 columns of the DetailedCatalog table.  Again, note that calling the columns attribute sends another query to the service to ask for the columns.
 
 ```{code-cell} ipython3
-columns=tables['dbo.DetailedCatalog'].columns
+columns=tables['dbo.detailedcatalog'].columns
 for c in columns:
     print(f'{f"{c.name} [{c.ucd}]":30s} - {c.description}')
 ```
 
-The PyVO method to get the columns will automatically fetch all the meta-data about those columns.  It's up to the service provider to set them correctly, of course, but in this case, we see that the column named "MatchRA" is identified with the UCD "pos.eq.ra".
+The PyVO method to get the columns will automatically fetch all the meta-data about those columns.  It's up to the service provider to set them correctly, of course, but in this case, we see that the column named "matchra" is identified with the UCD "pos.eq.ra".
 
-So if we did not know the exact name used in HSCv3 for the RA, we could do something like this looking for the string "RA":
+So if we did not know the exact name used in HSCv3 for the RA, we could do something like this looking for the string "ra":
 
 ```{code-cell} ipython3
-ra_name=[c.name for c in columns if 'RA' in c.name or "ascension" in c.name.lower()]
+ra_name=[c.name for c in columns if 'ra' in c.name.lower() or "ascension" in c.name.lower()]
 print(ra_name)
 ```
 
-But a more general approach is to check for the correct UCD.  It also has the further advantage that it can be used to label columns that should be used for certain purposes when there are multiple possibilities.  For instance, this table has MatchRA and SourceRA.  Let's check the UCD:
+Since that guessing doesn't give a unique answer, the more general and reliable approach is to check for the correct UCD.  It also has the further advantage that it can be used to label columns that should be used for certain purposes when there are multiple possibilities.  For instance, this table has MatchRA and SourceRA.  Let's check the UCD:
 
 (Note that the UCD is not required.  If it isn't there, you get a None type, so code the check carefully)
 
@@ -159,7 +159,7 @@ for tname,results in collection.items():
 Lastly, if you have a table of results from a TAP query (and if that service includes the UCDs), then you can get data based on UCDs with the getbyucd() method, which simply gets the corresponding element using fieldname_with_ucd():
 
 ```{code-cell} ipython3
-results=hsc.service.search("select top 10 * from dbo.DetailedCatalog")
+results=hsc.service.search("select top 10 * from dbo.detailedcatalog")
 [r.getbyucd('phot.mag') for r in results]
 ```
 
diff --git a/_sources/content/reference_notebooks/votables.ipynb b/_sources/content/reference_notebooks/votables.ipynb
index ef63acd..ad40782 100644
--- a/_sources/content/reference_notebooks/votables.ipynb
+++ b/_sources/content/reference_notebooks/votables.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "6a23206d",
+   "id": "f67b26a2",
    "metadata": {},
    "source": [
     "# VO Tables\n",
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "30efa592",
+   "id": "4353560b",
    "metadata": {},
    "source": [
     "There are several ways of doing this, and there are a few object layers here, which can be confusing:\n",
@@ -29,7 +29,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "907d4d70",
+   "id": "0cf62ee4",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "41b58597",
+   "id": "fae4858b",
    "metadata": {},
    "source": [
     "## Create a table with only two columns starting from an astropy Table"
@@ -50,7 +50,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "e41ddc33",
+   "id": "d917b409",
    "metadata": {},
    "outputs": [
     {
@@ -118,7 +118,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ce4cdefd",
+   "id": "01f9286e",
    "metadata": {},
    "source": [
     "## Then convert this to a VOTableFile object which contains a nested set of *resources* and *tables* (in this case, only one of each)"
@@ -127,7 +127,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "94d00341",
+   "id": "8a500043",
    "metadata": {},
    "outputs": [
     {
@@ -175,7 +175,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "3e6df259",
+   "id": "543fd936",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -207,7 +207,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.10.14"
   },
   "source_map": [
    36,
diff --git a/_sources/content/use_case_notebooks/candidate_list_exercise.ipynb b/_sources/content/use_case_notebooks/candidate_list_exercise.ipynb
index 6cddaee..92aae43 100644
--- a/_sources/content/use_case_notebooks/candidate_list_exercise.ipynb
+++ b/_sources/content/use_case_notebooks/candidate_list_exercise.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "56559ef2",
+   "id": "a0592b98",
    "metadata": {},
    "source": [
     "# Candidate List Exercise\n",
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cd4d0767",
+   "id": "dc5c90da",
    "metadata": {},
    "source": [
     "## 1. Import the Python modules we'll be using"
@@ -25,7 +25,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "83c51828",
+   "id": "1727892a",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -53,7 +53,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9d4cfd16",
+   "id": "049f64dd",
    "metadata": {},
    "source": [
     "The next cell prepares the notebook to display our visualizations."
@@ -62,7 +62,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "37313076",
+   "id": "104e1ef0",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -71,7 +71,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fa18ebc8",
+   "id": "12083881",
    "metadata": {},
    "source": [
     "## 2. Search NED for objects in this paper\n",
@@ -82,7 +82,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "e74a93e8",
+   "id": "48fbba99",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -92,7 +92,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "af9ce7e5",
+   "id": "a0149bce",
    "metadata": {},
    "source": [
     "## 3. Filter the NED results\n",
@@ -103,14 +103,14 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5574066e",
+   "id": "14811e82",
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "markdown",
-   "id": "8dd4f7ef",
+   "id": "9e3b240d",
    "metadata": {},
    "source": [
     "## 4. Search the NAVO Registry for image resources\n",
@@ -121,7 +121,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "bf3ea2e9",
+   "id": "cd6b407a",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -131,7 +131,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3b533de2",
+   "id": "db26e723",
    "metadata": {},
    "source": [
     "## 5. Search the NAVO Registry for image resources that will allow you to search for AllWISE images\n",
@@ -142,7 +142,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "b45530a5",
+   "id": "535acde3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -152,7 +152,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e68c70d2",
+   "id": "fa058ce4",
    "metadata": {},
    "source": [
     "## 6. Choose the AllWISE image service that you are interested in"
@@ -161,14 +161,14 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "3b1c5fc8",
+   "id": "fbc82359",
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "markdown",
-   "id": "389e2409",
+   "id": "2ab8ddaa",
    "metadata": {},
    "source": [
     "## 7. Choose one of the galaxies in the NED list\n",
@@ -179,7 +179,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "0aec7392",
+   "id": "59f9d1db",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -189,7 +189,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e7c5e502",
+   "id": "24a736d0",
    "metadata": {},
    "source": [
     "## 8. Search for a list of AllWISE images that cover this galaxy\n",
@@ -200,7 +200,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "7b443beb",
+   "id": "902287a7",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -210,7 +210,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6923327b",
+   "id": "54f24c0c",
    "metadata": {},
    "source": [
     "## 9. Use the .to_table() method to view the results as an Astropy table"
@@ -219,14 +219,14 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "157da952",
+   "id": "182b66ac",
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "markdown",
-   "id": "a8098ea3",
+   "id": "0d502b8c",
    "metadata": {},
    "source": [
     "## 10. From the result in 8., select the first record for an image taken in WISE band W1 (3.6 micron)\n",
@@ -240,14 +240,14 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "52c226da",
+   "id": "801cca1f",
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "markdown",
-   "id": "a3adfeef",
+   "id": "7f601e9e",
    "metadata": {},
    "source": [
     "## 11. Visualize this AllWISE image\n",
@@ -258,7 +258,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "78384b5f",
+   "id": "19250a60",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -270,7 +270,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "187e688a",
+   "id": "92d94a91",
    "metadata": {},
    "source": [
     "## 12. Plot a cutout of the AllWISE image, centered on your position\n",
@@ -281,7 +281,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "ce6b3d05",
+   "id": "bbac2d1f",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -290,7 +290,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "878dd8d2",
+   "id": "939bc48f",
    "metadata": {},
    "source": [
     "## 13. Try visualizing a cutout of a GALEX image that covers your position\n",
@@ -301,7 +301,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "0b461aba",
+   "id": "0d5c7e5c",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -316,7 +316,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "041ba194",
+   "id": "843ac47d",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -327,7 +327,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "a0bf8fef",
+   "id": "edfb2794",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -338,7 +338,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "623ed8c6",
+   "id": "a4cf786c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -349,7 +349,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "10820d33",
+   "id": "53997ec7",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -359,7 +359,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a95b4ba8",
+   "id": "bd968642",
    "metadata": {},
    "source": [
     "## 14. Try visualizing a cutout of an SDSS image that covers your position\n",
@@ -374,7 +374,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "81c70548",
+   "id": "95e3bdfd",
    "metadata": {},
    "source": [
     "(As a workaround to a bug in the SDSS service, pass `format=''` as an argument to the search() function when using the SDSS service.)"
@@ -383,7 +383,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "cb2f45dc",
+   "id": "70e56511",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -393,7 +393,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "6f7113f2",
+   "id": "0cf97d92",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -403,7 +403,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "a8f2c219",
+   "id": "018f8bb1",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -413,7 +413,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "7ac82390",
+   "id": "3eadea85",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -424,7 +424,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "4ad7355b",
+   "id": "7b1c0a29",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -433,7 +433,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f5f5e3d8",
+   "id": "1f2aaa63",
    "metadata": {},
    "source": [
     "## 15. Try looping over all positions and plotting multiwavelength cutouts\n",
@@ -443,7 +443,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cb4de66c",
+   "id": "cf2c3120",
    "metadata": {},
    "source": [
     "Warning: this takes a long time to run!  You can limit it to the first three galaxies only, for example, for testing."
@@ -452,7 +452,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "0b458b57",
+   "id": "62fee1d0",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -483,7 +483,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.10.14"
   },
   "source_map": [
    23,
diff --git a/_sources/content/use_case_notebooks/candidate_list_solution.ipynb b/_sources/content/use_case_notebooks/candidate_list_solution.ipynb
index 640e696..3a3b0e6 100644
--- a/_sources/content/use_case_notebooks/candidate_list_solution.ipynb
+++ b/_sources/content/use_case_notebooks/candidate_list_solution.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "216faaaa",
+   "id": "528755aa",
    "metadata": {},
    "source": [
     "# Candidate List Solution\n",
@@ -14,7 +14,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ba1c9e11",
+   "id": "58cbb625",
    "metadata": {},
    "source": [
     "## 1. Import the Python modules we'll be using"
@@ -23,7 +23,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "389c5bd5",
+   "id": "011988c8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fdd298ef",
+   "id": "a2ea99f7",
    "metadata": {},
    "source": [
     "The next cell prepares the notebook to display our visualizations."
@@ -60,7 +60,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "1020e9e7",
+   "id": "b36a79c7",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -69,7 +69,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d63d7a38",
+   "id": "ea049602",
    "metadata": {},
    "source": [
     "## 2. Search NED for objects in this paper\n",
@@ -80,18 +80,29 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "312249dc",
+   "id": "dd636cd4",
    "metadata": {
     "tags": [
      "output_scroll"
     ]
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING: AstropyDeprecationWarning: show_in_notebook() is deprecated as of 6.1 and to create\n",
+      "         interactive tables it is recommended to use dedicated tools like:\n",
+      "         - https://github.com/bloomberg/ipydatagrid\n",
+      "         - https://docs.bokeh.org/en/latest/docs/user_guide/interaction/widgets.html#datatable\n",
+      "         - https://dash.plotly.com/datatable [warnings]\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
        "<i>Table length=62</i>\n",
-       "<table id=\"table140106228974544-467119\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140388599267728-817736\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>idx</th><th>No.</th><th>Object Name</th><th>RA</th><th>DEC</th><th>Type</th><th>Velocity</th><th>Redshift</th><th>Redshift Flag</th><th>Magnitude and Filter</th><th>Separation</th><th>References</th><th>Notes</th><th>Photometry Points</th><th>Positions</th><th>Redshift Points</th><th>Diameter Points</th><th>Associations</th></tr></thead>\n",
        "<thead><tr><th></th><th></th><th></th><th>degrees</th><th>degrees</th><th></th><th>km / s</th><th></th><th></th><th></th><th>arcmin</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
        "<tr><td>0</td><td>1</td><td>WISEA J001550.14-100242.3</td><td>3.95892</td><td>-10.04511</td><td>G</td><td>52766.0</td><td>0.17601</td><td>SLS</td><td>17.5g</td><td>--</td><td>15</td><td>0</td><td>63</td><td>8</td><td>7</td><td>10</td><td>0</td></tr>\n",
@@ -105,7 +116,7 @@
        "<tr><td>8</td><td>9</td><td>2MASX J09094480+2226078</td><td>137.4367</td><td>22.43538</td><td>G</td><td>85557.0</td><td>0.285388</td><td>SLS</td><td>19.0g</td><td>--</td><td>9</td><td>0</td><td>30</td><td>5</td><td>6</td><td>6</td><td>0</td></tr>\n",
        "<tr><td>9</td><td>10</td><td>2MASX J09260805+2405242</td><td>141.53357</td><td>24.09004</td><td>G</td><td>66672.0</td><td>0.222393</td><td>SLS</td><td>17.8g</td><td>--</td><td>16</td><td>0</td><td>32</td><td>7</td><td>9</td><td>6</td><td>0</td></tr>\n",
        "<tr><td>10</td><td>11</td><td>WHL J092608.1+240524</td><td>141.53357</td><td>24.09004</td><td>GClstr</td><td>66284.0</td><td>0.2211</td><td>SUN</td><td></td><td>--</td><td>8</td><td>0</td><td>0</td><td>6</td><td>7</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>11</td><td>12</td><td>WISEA J093347.77+211436.7</td><td>143.44901</td><td>21.24346</td><td>G</td><td>51620.0</td><td>0.172186</td><td>SLS</td><td>16.9g</td><td>--</td><td>48</td><td>0</td><td>51</td><td>20</td><td>15</td><td>6</td><td>1</td></tr>\n",
+       "<tr><td>11</td><td>12</td><td>WISEA J093347.77+211436.7</td><td>143.44901</td><td>21.24346</td><td>G</td><td>51620.0</td><td>0.172186</td><td>SLS</td><td>16.9g</td><td>--</td><td>49</td><td>0</td><td>51</td><td>21</td><td>16</td><td>6</td><td>1</td></tr>\n",
        "<tr><td>12</td><td>13</td><td>WISEA J093622.14+390628.9</td><td>144.09222</td><td>39.10801</td><td>G</td><td>84821.0</td><td>0.282931</td><td>SLS</td><td>18.5g</td><td>--</td><td>6</td><td>0</td><td>66</td><td>7</td><td>3</td><td>10</td><td>0</td></tr>\n",
        "<tr><td>13</td><td>14</td><td>MSPM 05544</td><td>146.2235</td><td>22.8851</td><td>GClstr</td><td>26738.0</td><td>0.08919</td><td>MUN</td><td></td><td>--</td><td>3</td><td>0</td><td>0</td><td>1</td><td>1</td><td>0</td><td>0</td></tr>\n",
        "<tr><td>14</td><td>15</td><td>CGCG 122-067</td><td>146.22351</td><td>22.88512</td><td>G</td><td>26686.0</td><td>0.089016</td><td>SLS</td><td>15.3g</td><td>--</td><td>34</td><td>0</td><td>49</td><td>13</td><td>11</td><td>8</td><td>0</td></tr>\n",
@@ -135,7 +146,7 @@
        "<tr><td>38</td><td>39</td><td>WISEA J121644.33+122450.5</td><td>184.18477</td><td>12.41404</td><td>G</td><td>77030.0</td><td>0.256944</td><td>SLS</td><td>18.3g</td><td>--</td><td>5</td><td>0</td><td>55</td><td>7</td><td>3</td><td>8</td><td>0</td></tr>\n",
        "<tr><td>39</td><td>40</td><td>WISEA J122100.50+482729.1</td><td>185.25209</td><td>48.45807</td><td>G</td><td>89836.0</td><td>0.299659</td><td>SLS</td><td>18.7g</td><td>--</td><td>8</td><td>0</td><td>61</td><td>8</td><td>3</td><td>8</td><td>0</td></tr>\n",
        "<tr><td>40</td><td>41</td><td>WISEA J123215.19+102119.1</td><td>188.06311</td><td>10.35535</td><td>G</td><td>49729.0</td><td>0.165877</td><td>SLS</td><td>17.2g</td><td>--</td><td>19</td><td>0</td><td>66</td><td>9</td><td>6</td><td>10</td><td>0</td></tr>\n",
-       "<tr><td>41</td><td>42</td><td>WISEA J123431.08+515629.7</td><td>188.62952</td><td>51.94146</td><td>G</td><td>88714.0</td><td>0.295917</td><td>SLS</td><td>18.1g</td><td>--</td><td>31</td><td>0</td><td>64</td><td>11</td><td>12</td><td>10</td><td>0</td></tr>\n",
+       "<tr><td>41</td><td>42</td><td>WISEA J123431.08+515629.7</td><td>188.62952</td><td>51.94146</td><td>G</td><td>88714.0</td><td>0.295917</td><td>SLS</td><td>18.1g</td><td>--</td><td>32</td><td>0</td><td>64</td><td>12</td><td>13</td><td>10</td><td>0</td></tr>\n",
        "<tr><td>42</td><td>43</td><td>WISEA J123746.63+481227.5</td><td>189.44448</td><td>48.20767</td><td>G</td><td>81679.0</td><td>0.272452</td><td>SLS</td><td>18.2g</td><td>--</td><td>8</td><td>0</td><td>65</td><td>8</td><td>4</td><td>10</td><td>0</td></tr>\n",
        "<tr><td>43</td><td>44</td><td>WISEA J131039.32+223502.8</td><td>197.66385</td><td>22.58407</td><td>G</td><td>69320.0</td><td>0.231225</td><td>SLS</td><td>18.1g</td><td>--</td><td>12</td><td>0</td><td>48</td><td>8</td><td>5</td><td>6</td><td>1</td></tr>\n",
        "<tr><td>44</td><td>45</td><td>WISEA J132757.52+334529.3</td><td>201.98969</td><td>33.75806</td><td>G</td><td>74623.0</td><td>0.248916</td><td>SLS</td><td>17.7g</td><td>--</td><td>16</td><td>0</td><td>88</td><td>12</td><td>4</td><td>10</td><td>0</td></tr>\n",
@@ -149,7 +160,7 @@
        "<tr><td>52</td><td>53</td><td>WISEA J143447.88+020228.8</td><td>218.69942</td><td>2.04129</td><td>G</td><td>83914.0</td><td>0.279907</td><td>SLS</td><td>18.6g</td><td>--</td><td>10</td><td>0</td><td>62</td><td>9</td><td>5</td><td>8</td><td>0</td></tr>\n",
        "<tr><td>53</td><td>54</td><td>WISEA J144728.35+590831.9</td><td>221.86807</td><td>59.14209</td><td>G</td><td>73602.0</td><td>0.245509</td><td>SLS</td><td>18.3g</td><td>--</td><td>15</td><td>0</td><td>70</td><td>11</td><td>8</td><td>10</td><td>0</td></tr>\n",
        "<tr><td>54</td><td>55</td><td>WISEA J153619.01+452247.7</td><td>234.07909</td><td>45.37968</td><td>G</td><td>70804.0</td><td>0.236177</td><td>SLS</td><td>18.1g</td><td>--</td><td>9</td><td>0</td><td>57</td><td>7</td><td>3</td><td>8</td><td>0</td></tr>\n",
-       "<tr><td>55</td><td>56</td><td>WISEA J154307.78+193751.7</td><td>235.78241</td><td>19.63104</td><td>G</td><td>68774.0</td><td>0.229405</td><td>SLS</td><td>17.0g</td><td>--</td><td>43</td><td>1</td><td>50</td><td>21</td><td>18</td><td>6</td><td>0</td></tr>\n",
+       "<tr><td>55</td><td>56</td><td>WISEA J154307.78+193751.7</td><td>235.78241</td><td>19.63104</td><td>G</td><td>68774.0</td><td>0.229405</td><td>SLS</td><td>17.0g</td><td>--</td><td>44</td><td>1</td><td>50</td><td>22</td><td>19</td><td>6</td><td>0</td></tr>\n",
        "<tr><td>56</td><td>57</td><td>WISEA J154950.90+234444.0</td><td>237.46216</td><td>23.7456</td><td>G</td><td>78570.0</td><td>0.262082</td><td>SLS</td><td>18.5g</td><td>--</td><td>7</td><td>0</td><td>31</td><td>5</td><td>4</td><td>4</td><td>0</td></tr>\n",
        "<tr><td>57</td><td>58</td><td>GMBCG J240.41924+27.30444</td><td>240.41924</td><td>27.30444</td><td>GClstr</td><td>57860.0</td><td>0.193</td><td>PUN</td><td></td><td>--</td><td>4</td><td>0</td><td>0</td><td>2</td><td>2</td><td>0</td><td>0</td></tr>\n",
        "<tr><td>58</td><td>59</td><td>2MASX J16014061+2718161</td><td>240.41924</td><td>27.30443</td><td>G</td><td>49285.0</td><td>0.164398</td><td>SLS</td><td>16.7g</td><td>--</td><td>22</td><td>0</td><td>54</td><td>7</td><td>7</td><td>10</td><td>1</td></tr>\n",
@@ -179,14 +190,14 @@
        "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
        "}});\n",
        "require([\"datatables\"], function(){\n",
-       "    console.log(\"$('#table140106228974544-467119').dataTable()\");\n",
+       "    console.log(\"$('#table140388599267728-817736').dataTable()\");\n",
        "    \n",
        "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
        "    \"optionalnum-asc\": astropy_sort_num,\n",
        "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
        "});\n",
        "\n",
-       "    $('#table140106228974544-467119').dataTable({\n",
+       "    $('#table140388599267728-817736').dataTable({\n",
        "        order: [],\n",
        "        pageLength: 50,\n",
        "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
@@ -212,7 +223,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "448e0544",
+   "id": "d4410b2d",
    "metadata": {},
    "source": [
     "## 3. Filter the NED results\n",
@@ -223,7 +234,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "427f1916",
+   "id": "2e65dd41",
    "metadata": {},
    "outputs": [
     {
@@ -250,7 +261,6 @@
        "<tr><td>G</td></tr>\n",
        "<tr><td>G</td></tr>\n",
        "<tr><td>G</td></tr>\n",
-       "<tr><td>G</td></tr>\n",
        "<tr><td>GClstr</td></tr>\n",
        "<tr><td>G</td></tr>\n",
        "<tr><td>G</td></tr>\n",
@@ -279,7 +289,6 @@
        "     G\n",
        "     G\n",
        "     G\n",
-       "     G\n",
        "GClstr\n",
        "     G\n",
        "     G\n",
@@ -299,18 +308,29 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "dde85bb1",
+   "id": "0b3831f4",
    "metadata": {
     "tags": [
      "output_scroll"
     ]
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING: AstropyDeprecationWarning: show_in_notebook() is deprecated as of 6.1 and to create\n",
+      "         interactive tables it is recommended to use dedicated tools like:\n",
+      "         - https://github.com/bloomberg/ipydatagrid\n",
+      "         - https://docs.bokeh.org/en/latest/docs/user_guide/interaction/widgets.html#datatable\n",
+      "         - https://dash.plotly.com/datatable [warnings]\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
        "<i>Table length=53</i>\n",
-       "<table id=\"table140106228984240-978082\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140387632301920-957499\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>idx</th><th>No.</th><th>Object Name</th><th>RA</th><th>DEC</th><th>Type</th><th>Velocity</th><th>Redshift</th><th>Redshift Flag</th><th>Magnitude and Filter</th><th>Separation</th><th>References</th><th>Notes</th><th>Photometry Points</th><th>Positions</th><th>Redshift Points</th><th>Diameter Points</th><th>Associations</th></tr></thead>\n",
        "<thead><tr><th></th><th></th><th></th><th>degrees</th><th>degrees</th><th></th><th>km / s</th><th></th><th></th><th></th><th>arcmin</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
        "<tr><td>0</td><td>1</td><td>WISEA J001550.14-100242.3</td><td>3.95892</td><td>-10.04511</td><td>G</td><td>52766.0</td><td>0.17601</td><td>SLS</td><td>17.5g</td><td>--</td><td>15</td><td>0</td><td>63</td><td>8</td><td>7</td><td>10</td><td>0</td></tr>\n",
@@ -322,7 +342,7 @@
        "<tr><td>6</td><td>7</td><td>2MASX J08542169+0449308</td><td>133.59033</td><td>4.82511</td><td>G</td><td>47005.0</td><td>0.156793</td><td>SLS</td><td>16.7g</td><td>--</td><td>18</td><td>0</td><td>58</td><td>8</td><td>6</td><td>10</td><td>0</td></tr>\n",
        "<tr><td>7</td><td>9</td><td>2MASX J09094480+2226078</td><td>137.4367</td><td>22.43538</td><td>G</td><td>85557.0</td><td>0.285388</td><td>SLS</td><td>19.0g</td><td>--</td><td>9</td><td>0</td><td>30</td><td>5</td><td>6</td><td>6</td><td>0</td></tr>\n",
        "<tr><td>8</td><td>10</td><td>2MASX J09260805+2405242</td><td>141.53357</td><td>24.09004</td><td>G</td><td>66672.0</td><td>0.222393</td><td>SLS</td><td>17.8g</td><td>--</td><td>16</td><td>0</td><td>32</td><td>7</td><td>9</td><td>6</td><td>0</td></tr>\n",
-       "<tr><td>9</td><td>12</td><td>WISEA J093347.77+211436.7</td><td>143.44901</td><td>21.24346</td><td>G</td><td>51620.0</td><td>0.172186</td><td>SLS</td><td>16.9g</td><td>--</td><td>48</td><td>0</td><td>51</td><td>20</td><td>15</td><td>6</td><td>1</td></tr>\n",
+       "<tr><td>9</td><td>12</td><td>WISEA J093347.77+211436.7</td><td>143.44901</td><td>21.24346</td><td>G</td><td>51620.0</td><td>0.172186</td><td>SLS</td><td>16.9g</td><td>--</td><td>49</td><td>0</td><td>51</td><td>21</td><td>16</td><td>6</td><td>1</td></tr>\n",
        "<tr><td>10</td><td>13</td><td>WISEA J093622.14+390628.9</td><td>144.09222</td><td>39.10801</td><td>G</td><td>84821.0</td><td>0.282931</td><td>SLS</td><td>18.5g</td><td>--</td><td>6</td><td>0</td><td>66</td><td>7</td><td>3</td><td>10</td><td>0</td></tr>\n",
        "<tr><td>11</td><td>15</td><td>CGCG 122-067</td><td>146.22351</td><td>22.88512</td><td>G</td><td>26686.0</td><td>0.089016</td><td>SLS</td><td>15.3g</td><td>--</td><td>34</td><td>0</td><td>49</td><td>13</td><td>11</td><td>8</td><td>0</td></tr>\n",
        "<tr><td>12</td><td>16</td><td>WISEA J094700.08+254045.8</td><td>146.75035</td><td>25.67938</td><td>G</td><td>32690.0</td><td>0.109043</td><td>SLS</td><td>15.8g</td><td>--</td><td>22</td><td>0</td><td>46</td><td>8</td><td>7</td><td>6</td><td>0</td></tr>\n",
@@ -348,7 +368,7 @@
        "<tr><td>32</td><td>39</td><td>WISEA J121644.33+122450.5</td><td>184.18477</td><td>12.41404</td><td>G</td><td>77030.0</td><td>0.256944</td><td>SLS</td><td>18.3g</td><td>--</td><td>5</td><td>0</td><td>55</td><td>7</td><td>3</td><td>8</td><td>0</td></tr>\n",
        "<tr><td>33</td><td>40</td><td>WISEA J122100.50+482729.1</td><td>185.25209</td><td>48.45807</td><td>G</td><td>89836.0</td><td>0.299659</td><td>SLS</td><td>18.7g</td><td>--</td><td>8</td><td>0</td><td>61</td><td>8</td><td>3</td><td>8</td><td>0</td></tr>\n",
        "<tr><td>34</td><td>41</td><td>WISEA J123215.19+102119.1</td><td>188.06311</td><td>10.35535</td><td>G</td><td>49729.0</td><td>0.165877</td><td>SLS</td><td>17.2g</td><td>--</td><td>19</td><td>0</td><td>66</td><td>9</td><td>6</td><td>10</td><td>0</td></tr>\n",
-       "<tr><td>35</td><td>42</td><td>WISEA J123431.08+515629.7</td><td>188.62952</td><td>51.94146</td><td>G</td><td>88714.0</td><td>0.295917</td><td>SLS</td><td>18.1g</td><td>--</td><td>31</td><td>0</td><td>64</td><td>11</td><td>12</td><td>10</td><td>0</td></tr>\n",
+       "<tr><td>35</td><td>42</td><td>WISEA J123431.08+515629.7</td><td>188.62952</td><td>51.94146</td><td>G</td><td>88714.0</td><td>0.295917</td><td>SLS</td><td>18.1g</td><td>--</td><td>32</td><td>0</td><td>64</td><td>12</td><td>13</td><td>10</td><td>0</td></tr>\n",
        "<tr><td>36</td><td>43</td><td>WISEA J123746.63+481227.5</td><td>189.44448</td><td>48.20767</td><td>G</td><td>81679.0</td><td>0.272452</td><td>SLS</td><td>18.2g</td><td>--</td><td>8</td><td>0</td><td>65</td><td>8</td><td>4</td><td>10</td><td>0</td></tr>\n",
        "<tr><td>37</td><td>44</td><td>WISEA J131039.32+223502.8</td><td>197.66385</td><td>22.58407</td><td>G</td><td>69320.0</td><td>0.231225</td><td>SLS</td><td>18.1g</td><td>--</td><td>12</td><td>0</td><td>48</td><td>8</td><td>5</td><td>6</td><td>1</td></tr>\n",
        "<tr><td>38</td><td>45</td><td>WISEA J132757.52+334529.3</td><td>201.98969</td><td>33.75806</td><td>G</td><td>74623.0</td><td>0.248916</td><td>SLS</td><td>17.7g</td><td>--</td><td>16</td><td>0</td><td>88</td><td>12</td><td>4</td><td>10</td><td>0</td></tr>\n",
@@ -361,7 +381,7 @@
        "<tr><td>45</td><td>53</td><td>WISEA J143447.88+020228.8</td><td>218.69942</td><td>2.04129</td><td>G</td><td>83914.0</td><td>0.279907</td><td>SLS</td><td>18.6g</td><td>--</td><td>10</td><td>0</td><td>62</td><td>9</td><td>5</td><td>8</td><td>0</td></tr>\n",
        "<tr><td>46</td><td>54</td><td>WISEA J144728.35+590831.9</td><td>221.86807</td><td>59.14209</td><td>G</td><td>73602.0</td><td>0.245509</td><td>SLS</td><td>18.3g</td><td>--</td><td>15</td><td>0</td><td>70</td><td>11</td><td>8</td><td>10</td><td>0</td></tr>\n",
        "<tr><td>47</td><td>55</td><td>WISEA J153619.01+452247.7</td><td>234.07909</td><td>45.37968</td><td>G</td><td>70804.0</td><td>0.236177</td><td>SLS</td><td>18.1g</td><td>--</td><td>9</td><td>0</td><td>57</td><td>7</td><td>3</td><td>8</td><td>0</td></tr>\n",
-       "<tr><td>48</td><td>56</td><td>WISEA J154307.78+193751.7</td><td>235.78241</td><td>19.63104</td><td>G</td><td>68774.0</td><td>0.229405</td><td>SLS</td><td>17.0g</td><td>--</td><td>43</td><td>1</td><td>50</td><td>21</td><td>18</td><td>6</td><td>0</td></tr>\n",
+       "<tr><td>48</td><td>56</td><td>WISEA J154307.78+193751.7</td><td>235.78241</td><td>19.63104</td><td>G</td><td>68774.0</td><td>0.229405</td><td>SLS</td><td>17.0g</td><td>--</td><td>44</td><td>1</td><td>50</td><td>22</td><td>19</td><td>6</td><td>0</td></tr>\n",
        "<tr><td>49</td><td>57</td><td>WISEA J154950.90+234444.0</td><td>237.46216</td><td>23.7456</td><td>G</td><td>78570.0</td><td>0.262082</td><td>SLS</td><td>18.5g</td><td>--</td><td>7</td><td>0</td><td>31</td><td>5</td><td>4</td><td>4</td><td>0</td></tr>\n",
        "<tr><td>50</td><td>59</td><td>2MASX J16014061+2718161</td><td>240.41924</td><td>27.30443</td><td>G</td><td>49285.0</td><td>0.164398</td><td>SLS</td><td>16.7g</td><td>--</td><td>22</td><td>0</td><td>54</td><td>7</td><td>7</td><td>10</td><td>1</td></tr>\n",
        "<tr><td>51</td><td>60</td><td>WISEA J163945.96+460905.8</td><td>249.94148</td><td>46.1517</td><td>G</td><td>74087.0</td><td>0.247128</td><td>SLS</td><td>18.3g</td><td>--</td><td>13</td><td>0</td><td>70</td><td>8</td><td>4</td><td>10</td><td>0</td></tr>\n",
@@ -389,14 +409,14 @@
        "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
        "}});\n",
        "require([\"datatables\"], function(){\n",
-       "    console.log(\"$('#table140106228984240-978082').dataTable()\");\n",
+       "    console.log(\"$('#table140387632301920-957499').dataTable()\");\n",
        "    \n",
        "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
        "    \"optionalnum-asc\": astropy_sort_num,\n",
        "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
        "});\n",
        "\n",
-       "    $('#table140106228984240-978082').dataTable({\n",
+       "    $('#table140387632301920-957499').dataTable({\n",
        "        order: [],\n",
        "        pageLength: 50,\n",
        "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
@@ -424,7 +444,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "515469a8",
+   "id": "26a83d3a",
    "metadata": {},
    "source": [
     "## 4. Search the NAVO Registry for image resources\n",
@@ -435,21 +455,21 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "dfd7d27d",
+   "id": "e85a40eb",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "263 result(s) found.\n"
+      "265 result(s) found.\n"
      ]
     },
     {
      "data": {
       "text/html": [
-       "<div><i>Table length=263</i>\n",
-       "<table id=\"table140105267707472\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<div><i>Table length=265</i>\n",
+       "<table id=\"table140387632304176\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ivoid</th><th>short_name</th><th>res_title</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>\n",
        "<tr><td>ivo://3crsnapshots/sia</td><td>3CRSnap.sia</td><td>3CRSnapshots Simple Image Access Service</td></tr>\n",
@@ -461,8 +481,8 @@
        "<tr><td>ivo://astron.nl/apertif_dr_bootes/q/cutout</td><td>DR Bootes</td><td>Apertif DR Bootes - Mosaic</td></tr>\n",
        "<tr><td>ivo://astron.nl/hetdex/lotss-dr1-img/cutout</td><td>LoTSS-DR1 Cutout</td><td>LoTSS-DR1 Image Cutout Service</td></tr>\n",
        "<tr><td>ivo://astron.nl/hetdex/lotss-dr1-img/imgs</td><td>LoTSS-DR1 images</td><td>LoTSS-DR1 Image Archive</td></tr>\n",
-       "<tr><td>ivo://astron.nl/lofartier1/q_img/cutout</td><td>LoTSS-PDR Cutout</td><td>LoTSS-PDR Image Cutout Service</td></tr>\n",
        "<tr><td>...</td><td>...</td><td>...</td></tr>\n",
+       "<tr><td>ivo://wfau.roe.ac.uk/ukidssdr2-siap</td><td>UKIDSS DR2 SIAP</td><td>UKIDSS DR2 SIAP Service</td></tr>\n",
        "<tr><td>ivo://wfau.roe.ac.uk/ukidssdr3-siap</td><td>UKIDSS DR3 SIAP</td><td>UKIDSS DR3 SIAP Service</td></tr>\n",
        "<tr><td>ivo://wfau.roe.ac.uk/ukidssdr4-siap</td><td>UKIDSS DR4 SIAP</td><td>UKIDSS DR4 SIAP Service</td></tr>\n",
        "<tr><td>ivo://wfau.roe.ac.uk/ukidssdr5-siap</td><td>UKIDSS DR5 SIAP</td><td>UKIDSS DR5 SIAP Service</td></tr>\n",
@@ -472,11 +492,10 @@
        "<tr><td>ivo://wfau.roe.ac.uk/ukidssdr9-siap</td><td>UKIDSS DR9 SIAP</td><td>UKIDSS DR9 SIAP Service</td></tr>\n",
        "<tr><td>ivo://wfau.roe.ac.uk/vhsdr1-siap</td><td>VHS DR1 SIAP</td><td>VHS DR1 SIAP Service</td></tr>\n",
        "<tr><td>ivo://wfau.roe.ac.uk/vista-siap</td><td>VISTA SIAP</td><td>VISTA SIAP Service</td></tr>\n",
-       "<tr><td>ivo://xcatdb/3xmmdr7/epicsia</td><td>3XMM-DR7-SIA</td><td>Epic Image SIAP of the SSC Interface for the  3XMM-DR7 Catalogue</td></tr>\n",
        "</table></div>"
       ],
       "text/plain": [
-       "<Table length=263>\n",
+       "<Table length=265>\n",
        "                   ivoid                    ...\n",
        "                   object                   ...\n",
        "------------------------------------------- ...\n",
@@ -489,8 +508,8 @@
        " ivo://astron.nl/apertif_dr_bootes/q/cutout ...\n",
        "ivo://astron.nl/hetdex/lotss-dr1-img/cutout ...\n",
        "  ivo://astron.nl/hetdex/lotss-dr1-img/imgs ...\n",
-       "    ivo://astron.nl/lofartier1/q_img/cutout ...\n",
        "                                        ... ...\n",
+       "        ivo://wfau.roe.ac.uk/ukidssdr2-siap ...\n",
        "        ivo://wfau.roe.ac.uk/ukidssdr3-siap ...\n",
        "        ivo://wfau.roe.ac.uk/ukidssdr4-siap ...\n",
        "        ivo://wfau.roe.ac.uk/ukidssdr5-siap ...\n",
@@ -499,8 +518,7 @@
        "        ivo://wfau.roe.ac.uk/ukidssdr8-siap ...\n",
        "        ivo://wfau.roe.ac.uk/ukidssdr9-siap ...\n",
        "           ivo://wfau.roe.ac.uk/vhsdr1-siap ...\n",
-       "            ivo://wfau.roe.ac.uk/vista-siap ...\n",
-       "               ivo://xcatdb/3xmmdr7/epicsia ..."
+       "            ivo://wfau.roe.ac.uk/vista-siap ..."
       ]
      },
      "execution_count": 6,
@@ -518,7 +536,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dbd7ad8f",
+   "id": "5e5cf906",
    "metadata": {},
    "source": [
     "## 5. Search the NAVO Registry for image resources that will allow you to search for AllWISE images\n",
@@ -529,7 +547,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "717e9826",
+   "id": "c75ee0f6",
    "metadata": {},
    "outputs": [
     {
@@ -543,7 +561,7 @@
      "data": {
       "text/html": [
        "<div><i>Table length=1</i>\n",
-       "<table id=\"table140105267940560\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140387629156816\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ivoid</th><th>short_name</th><th>res_title</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>\n",
        "<tr><td>ivo://irsa.ipac/wise/images/allwise/l3a</td><td>AllWISE L3a</td><td>AllWISE Atlas (L3a) Coadd Images</td></tr>\n",
@@ -572,7 +590,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4953e8a5",
+   "id": "f969489a",
    "metadata": {},
    "source": [
     "## 6. Choose the AllWISE image service that you are interested in"
@@ -581,13 +599,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "83016352",
+   "id": "c2b17d49",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<pyvo.dal.sia.SIAService at 0x7f6cccb2d510>"
+       "<pyvo.dal.sia.SIAService at 0x7fae8af45300>"
       ]
      },
      "execution_count": 8,
@@ -602,7 +620,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "791e9076",
+   "id": "4db742cb",
    "metadata": {},
    "source": [
     "## 7. Choose one of the galaxies in the NED list"
@@ -611,7 +629,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "8766c896",
+   "id": "2045c552",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -623,13 +641,13 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "4496b1e6",
+   "id": "fb54da51",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(3.95892, -10.04511)"
+       "(np.float64(3.95892), np.float64(-10.04511))"
       ]
      },
      "execution_count": 10,
@@ -643,7 +661,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b6b5a9e6",
+   "id": "24d8aae5",
    "metadata": {},
    "source": [
     "## 8. Search for a list of AllWISE images that cover this galaxy\n",
@@ -654,7 +672,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "3bd56357",
+   "id": "f07a46b0",
    "metadata": {},
    "outputs": [
     {
@@ -665,10 +683,10 @@
        "                       ...              \n",
        "        object         ...     object   \n",
        "---------------------- ... -------------\n",
+       "W2 Coadd 0046m107_ac51 ... 0046m107_ac51\n",
        "W1 Coadd 0046m107_ac51 ... 0046m107_ac51\n",
        "W3 Coadd 0046m107_ac51 ... 0046m107_ac51\n",
-       "W4 Coadd 0046m107_ac51 ... 0046m107_ac51\n",
-       "W2 Coadd 0046m107_ac51 ... 0046m107_ac51"
+       "W4 Coadd 0046m107_ac51 ... 0046m107_ac51"
       ]
      },
      "execution_count": 11,
@@ -683,7 +701,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2520e80f",
+   "id": "6ac1122a",
    "metadata": {},
    "source": [
     "## 9. Use the .to_table() method to view the results as an Astropy table"
@@ -692,21 +710,21 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "a268f858",
+   "id": "0c1d593a",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=4</i>\n",
-       "<table id=\"table140105266524080\" class=\"table-striped table-bordered table-condensed\">\n",
-       "<thead><tr><th>sia_title</th><th>sia_url</th><th>cloud_access</th><th>sia_naxes</th><th>sia_fmt</th><th>sia_ra</th><th>sia_dec</th><th>sia_naxis</th><th>sia_crpix</th><th>sia_crval</th><th>sia_proj</th><th>sia_scale</th><th>sia_cd</th><th>sia_bp_id</th><th>sia_bp_ref</th><th>sia_bp_hi</th><th>sia_bp_lo</th><th>magzp</th><th>magzpunc</th><th>unc_url</th><th>cov_url</th><th>coadd_id</th></tr></thead>\n",
-       "<thead><tr><th></th><th></th><th></th><th></th><th></th><th>deg</th><th>deg</th><th></th><th>pix</th><th>deg</th><th></th><th>deg / pix</th><th>deg / pix</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
-       "<thead><tr><th>object</th><th>object</th><th>object</th><th>int32</th><th>object</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th></tr></thead>\n",
-       "<tr><td>W1 Coadd 0046m107_ac51</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w1-int-3.fits</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;: &quot;nasa-irsa-wise&quot;, &quot;key&quot;:&quot;wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w1-int-3.fits&quot;, &quot;region&quot;: &quot;us-west-2&quot;}}</td><td>2</td><td>image/fits</td><td>4.61538</td><td>-10.601111</td><td>[4095 4095]</td><td>[2048.0 2048.0]</td><td>[4.61538 -10.601111]</td><td>SIN</td><td>[-0.0003819444391411 0.0003819444391411]</td><td>[-0.0003819444391411 -0.0 -0.0 0.0003819444391411]</td><td>W1</td><td>3.35e-06</td><td>3.78e-06</td><td>3.13e-06</td><td>20.5</td><td>0.006</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w1-unc-3.fits.gz</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w1-cov-3.fits.gz</td><td>0046m107_ac51</td></tr>\n",
-       "<tr><td>W3 Coadd 0046m107_ac51</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w3-int-3.fits</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;: &quot;nasa-irsa-wise&quot;, &quot;key&quot;:&quot;wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w3-int-3.fits&quot;, &quot;region&quot;: &quot;us-west-2&quot;}}</td><td>2</td><td>image/fits</td><td>4.61538</td><td>-10.601111</td><td>[4095 4095]</td><td>[2048.0 2048.0]</td><td>[4.61538 -10.601111]</td><td>SIN</td><td>[-0.0003819444391411 0.0003819444391411]</td><td>[-0.0003819444391411 -0.0 -0.0 0.0003819444391411]</td><td>W3</td><td>1.156e-05</td><td>1.627e-05</td><td>7.6e-06</td><td>18.0</td><td>0.012</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w3-unc-3.fits.gz</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w3-cov-3.fits.gz</td><td>0046m107_ac51</td></tr>\n",
-       "<tr><td>W4 Coadd 0046m107_ac51</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w4-int-3.fits</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;: &quot;nasa-irsa-wise&quot;, &quot;key&quot;:&quot;wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w4-int-3.fits&quot;, &quot;region&quot;: &quot;us-west-2&quot;}}</td><td>2</td><td>image/fits</td><td>4.61538</td><td>-10.601111</td><td>[4095 4095]</td><td>[2048.0 2048.0]</td><td>[4.61538 -10.601111]</td><td>SIN</td><td>[-0.0003819444391411 0.0003819444391411]</td><td>[-0.0003819444391411 -0.0 -0.0 0.0003819444391411]</td><td>W4</td><td>2.209e-05</td><td>2.336e-05</td><td>1.984e-05</td><td>13.0</td><td>0.012</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w4-unc-3.fits.gz</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w4-cov-3.fits.gz</td><td>0046m107_ac51</td></tr>\n",
-       "<tr><td>W2 Coadd 0046m107_ac51</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w2-int-3.fits</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;: &quot;nasa-irsa-wise&quot;, &quot;key&quot;:&quot;wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w2-int-3.fits&quot;, &quot;region&quot;: &quot;us-west-2&quot;}}</td><td>2</td><td>image/fits</td><td>4.61538</td><td>-10.601111</td><td>[4095 4095]</td><td>[2048.0 2048.0]</td><td>[4.61538 -10.601111]</td><td>SIN</td><td>[-0.0003819444391411 0.0003819444391411]</td><td>[-0.0003819444391411 -0.0 -0.0 0.0003819444391411]</td><td>W2</td><td>4.6e-06</td><td>5.19e-06</td><td>4.02e-06</td><td>19.5</td><td>0.007</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w2-unc-3.fits.gz</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w2-cov-3.fits.gz</td><td>0046m107_ac51</td></tr>\n",
+       "<table id=\"table140387629416160\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<thead><tr><th>sia_title</th><th>sia_url</th><th>cloud_access</th><th>sia_naxes</th><th>sia_fmt</th><th>sia_ra</th><th>sia_dec</th><th>sia_naxis</th><th>sia_crpix</th><th>sia_crval</th><th>sia_proj</th><th>sia_scale</th><th>sia_cd</th><th>sia_bp_id</th><th>sia_bp_ref</th><th>sia_bp_hi</th><th>sia_bp_lo</th><th>sia_bp_unit</th><th>magzp</th><th>magzpunc</th><th>unc_url</th><th>cov_url</th><th>coadd_id</th></tr></thead>\n",
+       "<thead><tr><th></th><th></th><th></th><th></th><th></th><th>deg</th><th>deg</th><th></th><th>pix</th><th>deg</th><th></th><th>deg / pix</th><th>deg / pix</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
+       "<thead><tr><th>object</th><th>object</th><th>object</th><th>int32</th><th>object</th><th>float64</th><th>float64</th><th>int32[2]</th><th>float64[2]</th><th>float64[2]</th><th>object</th><th>float64[2]</th><th>float64[4]</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th></tr></thead>\n",
+       "<tr><td>W2 Coadd 0046m107_ac51</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w2-int-3.fits</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;: &quot;nasa-irsa-wise&quot;, &quot;key&quot;:&quot;wise/allwise/images/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w2-int-3.fits&quot;, &quot;region&quot;: &quot;us-west-2&quot;}}</td><td>2</td><td>image/fits</td><td>4.61538</td><td>-10.601111</td><td>4095 .. 4095</td><td>2048.0 .. 2048.0</td><td>4.61538 .. -10.601111</td><td>SIN</td><td>-0.0003819444391411 .. 0.0003819444391411</td><td>-0.0003819444391411 .. 0.0003819444391411</td><td>W2</td><td>4.6e-06</td><td>5.19e-06</td><td>4.02e-06</td><td>m</td><td>19.5</td><td>0.007</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w2-unc-3.fits.gz</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w2-cov-3.fits.gz</td><td>0046m107_ac51</td></tr>\n",
+       "<tr><td>W1 Coadd 0046m107_ac51</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w1-int-3.fits</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;: &quot;nasa-irsa-wise&quot;, &quot;key&quot;:&quot;wise/allwise/images/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w1-int-3.fits&quot;, &quot;region&quot;: &quot;us-west-2&quot;}}</td><td>2</td><td>image/fits</td><td>4.61538</td><td>-10.601111</td><td>4095 .. 4095</td><td>2048.0 .. 2048.0</td><td>4.61538 .. -10.601111</td><td>SIN</td><td>-0.0003819444391411 .. 0.0003819444391411</td><td>-0.0003819444391411 .. 0.0003819444391411</td><td>W1</td><td>3.35e-06</td><td>3.78e-06</td><td>3.13e-06</td><td>m</td><td>20.5</td><td>0.006</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w1-unc-3.fits.gz</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w1-cov-3.fits.gz</td><td>0046m107_ac51</td></tr>\n",
+       "<tr><td>W3 Coadd 0046m107_ac51</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w3-int-3.fits</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;: &quot;nasa-irsa-wise&quot;, &quot;key&quot;:&quot;wise/allwise/images/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w3-int-3.fits&quot;, &quot;region&quot;: &quot;us-west-2&quot;}}</td><td>2</td><td>image/fits</td><td>4.61538</td><td>-10.601111</td><td>4095 .. 4095</td><td>2048.0 .. 2048.0</td><td>4.61538 .. -10.601111</td><td>SIN</td><td>-0.0003819444391411 .. 0.0003819444391411</td><td>-0.0003819444391411 .. 0.0003819444391411</td><td>W3</td><td>1.156e-05</td><td>1.627e-05</td><td>7.6e-06</td><td>m</td><td>18.0</td><td>0.012</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w3-unc-3.fits.gz</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w3-cov-3.fits.gz</td><td>0046m107_ac51</td></tr>\n",
+       "<tr><td>W4 Coadd 0046m107_ac51</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w4-int-3.fits</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;: &quot;nasa-irsa-wise&quot;, &quot;key&quot;:&quot;wise/allwise/images/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w4-int-3.fits&quot;, &quot;region&quot;: &quot;us-west-2&quot;}}</td><td>2</td><td>image/fits</td><td>4.61538</td><td>-10.601111</td><td>4095 .. 4095</td><td>2048.0 .. 2048.0</td><td>4.61538 .. -10.601111</td><td>SIN</td><td>-0.0003819444391411 .. 0.0003819444391411</td><td>-0.0003819444391411 .. 0.0003819444391411</td><td>W4</td><td>2.209e-05</td><td>2.336e-05</td><td>1.984e-05</td><td>m</td><td>13.0</td><td>0.012</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w4-unc-3.fits.gz</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w4-cov-3.fits.gz</td><td>0046m107_ac51</td></tr>\n",
        "</table></div>"
       ],
       "text/plain": [
@@ -715,10 +733,10 @@
        "                       ...              \n",
        "        object         ...     object   \n",
        "---------------------- ... -------------\n",
+       "W2 Coadd 0046m107_ac51 ... 0046m107_ac51\n",
        "W1 Coadd 0046m107_ac51 ... 0046m107_ac51\n",
        "W3 Coadd 0046m107_ac51 ... 0046m107_ac51\n",
-       "W4 Coadd 0046m107_ac51 ... 0046m107_ac51\n",
-       "W2 Coadd 0046m107_ac51 ... 0046m107_ac51"
+       "W4 Coadd 0046m107_ac51 ... 0046m107_ac51"
       ]
      },
      "execution_count": 12,
@@ -733,7 +751,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a6c15c64",
+   "id": "7bb76b2f",
    "metadata": {},
    "source": [
     "## 10. From the result in 8., select the first record for an image taken in WISE band W1 (3.6 micron)\n",
@@ -747,7 +765,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "a2ec22d2",
+   "id": "162ac8b5",
    "metadata": {},
    "outputs": [
     {
@@ -767,7 +785,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "29a29bab",
+   "id": "eab6b4b9",
    "metadata": {},
    "source": [
     "## 11. Visualize this AllWISE image"
@@ -776,7 +794,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "3e45b81a",
+   "id": "01d8b2a6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -792,13 +810,13 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "36ec287b",
+   "id": "3c3b39b8",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.PathCollection at 0x7f6ccc63dea0>"
+       "<matplotlib.collections.PathCollection at 0x7fae8a8e8340>"
       ]
      },
      "execution_count": 15,
@@ -807,7 +825,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -827,7 +845,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "60151ef1",
+   "id": "49e42a83",
    "metadata": {},
    "source": [
     "## 12. Plot a cutout of the AllWISE image, centered on your position\n",
@@ -838,13 +856,13 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "8d871bc7",
+   "id": "3d5ef67e",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.PathCollection at 0x7f6cc4398a00>"
+       "<matplotlib.collections.PathCollection at 0x7fae8265d7e0>"
       ]
      },
      "execution_count": 16,
@@ -853,7 +871,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -876,7 +894,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b980f2a8",
+   "id": "eca448a1",
    "metadata": {},
    "source": [
     "## 13. Try visualizing a cutout of a GALEX image that covers your position\n",
@@ -887,7 +905,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "b30bb3db",
+   "id": "d24eec47",
    "metadata": {},
    "outputs": [
     {
@@ -901,7 +919,7 @@
      "data": {
       "text/html": [
        "<div><i>Table length=3</i>\n",
-       "<table id=\"table140105125304336\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140387489087392\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ivoid</th><th>short_name</th><th>res_title</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>\n",
        "<tr><td>ivo://archive.stsci.edu/sia/galex</td><td>GALEX</td><td>Galaxy Evolution Explorer (GALEX)</td></tr>\n",
@@ -933,7 +951,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "fd9cf9d1",
+   "id": "ae3797ed",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -943,7 +961,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "9acbbeba",
+   "id": "5e4dd749",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -953,7 +971,7 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "59cfcccf",
+   "id": "6629a15a",
    "metadata": {},
    "outputs": [
     {
@@ -977,7 +995,7 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "72acbf7c",
+   "id": "f2d2f4bc",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -990,7 +1008,7 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "id": "c168b892",
+   "id": "d8f86bd4",
    "metadata": {},
    "outputs": [
     {
@@ -1015,13 +1033,13 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "id": "16ee2ed7",
+   "id": "347da3ae",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.PathCollection at 0x7f6cc117f7c0>"
+       "<matplotlib.collections.PathCollection at 0x7fae80481870>"
       ]
      },
      "execution_count": 23,
@@ -1030,7 +1048,7 @@
     },
     {
      "data": {
-      "image/png": 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OuVyW3+9XIpEwxPeOd7xD73vf++T3+7W9va1EIqFIJKJ+v2+iJI/Ho2QyqX6/r3379lnfs9Fo2M995jOf0dLSkp797GfL4/FoNBpZch6NRhqNRvL5fKpWq5qZmbHXIclQI/8PRdtqteT1eg1F8331er1mIjGZTNTtduX1etVqtZRMJiXJ+sHhcFiTyUSDwUCSdNFFF6nZbBqyDYVC8ng8GgwGOnv2rBULN9xwg5761KdqaWnJxEzFYlG5XE6zs7Nqt9uKRqOGvv1+vwaDgdbW1rSxsaFcLqdEIqHDhw9P0e9uPD5ja2vLWha0XR56Xzzqk+vLX/5yPe1pT7P/X15eVjgc1h133KF6va7BYKBcLqenPe1puvrqq7/rx202m3rxi1+sWCymz372s1MzcQsLC/rmN7859fO7u7v2d99N/Oqv/qo++MEPftevx43Hb9RqNeuj3n///YaQksmkAoGA9U2bzab8fr/1ELPZrLxer4bDoc18fvjDH9ZoNJLXe24QYDKZWM9yPB5rdnZW0rkk/VAUWK1WDf2VSiV5PB4TNaEQxrUJkRMK3V6vZ/3P4XCoXC6nWq0mn8+nQCAgn89nPV1J9jiM2YCKGZvpdDoaDAaq1WrmzsT78Hg8JuTqdDqWHMPhsJrNps26SucKaEaLVldXtba2png8rmQyqXQ6rXK5bNfK4/Fob2/PniMSiSgWi6nb7apWq6nb7ardbisWiymRSGhpaUk+n+/hvl3ceBTE0aNHp/7/TW96kz7wgQ9M/Zln8lC49xgMhuK/+MUv6oUvfOE/+vONRkMvetGLNDMzo7/5m7/5jorji1/8ol760pfaMLsk/cmf/Ine9ra3qVAoWE/q/xWtVkvlclnSuS9tu93W0aNHrb/rxuM7er2e6vW6CoWCqdyr1ao+/vGP67nPfa6e9KQnqVKpGEJEvYsf73g8tpnOYDCoXq+ncDis2dlZS8Kj0Uizs7Py+XxqtVoaj8fa29uT3+9XOBxWv9+Xz+fT3t6ejcWEw2Ftb29LOmdlCF1LEk+lUlPuSZFIRM1mU8lkUt1u18wmksmk1tbWJMmSsM/nU7fbVTQaVSQSsT/jPQUCAdVqNeuTOpXPkizRd7td9ft9ZTIZ7e7uGkKORqPmaQxjNDs7q1qtZkmY8Zxms6lrr71Ww+HQVMuj0UjNZlNzc3NT6Ljb7SoUCimTyajVallCzeVyyuVySqVSRsu7cWFHo9FQIpGw7yzpM5PJWOFKPOqR6/8pPvWpTymXy2l1dVV33323/vW//td6xSte8V0n1he+8IXqdDr67//9v6vRaKjRaEg692Xx+Xx64QtfqKNHj+qnf/qn9Z73vEf5fF7//t//e/3SL/3Sd5VYpXP9LufF5jnceHxHr9fT5uamTpw4oZ2dHSUSCRMkhcNhraysyOv1qtPpqNVqaXV11e4dEmosFlMkEjE6ttvtSjonfEJBTI90b2/PUCF90l6vZ8mXxFIqlTQajcxEv9/vK5VKaTQamaK31+tZwYgYqdfrWUIHHcdiMVWrVUnnvge8HowoUAPzPCBjXle73dZwONTs7Kzi8biN3CCKQqFcKBQUDAbl8/nUaDRsvCidTisYDGpvb0/b29u66KKLLFEiWrz77rv16le/egoFN5tNnT17VmfPntXy8rLm5+eN+ptMJmo2m2q322q1WlpYWFCz2dRtt92miy++WPF4XJdffrmhezcu7FheXv5HQdJjErm+//3v1+///u9rd3dXi4uL+pmf+Rm94x3v+K4EB9dff72e+9zn/h//7syZMzpw4ICkc3Zrb37zm3X99dcrGo3q9a9/vf7jf/yP9uX8XoOKx0Wuj7+g537y5Emtr6+r3W4rkUhob2/PnIN6vZ71PFOplKG8VCplalmo3N3dXcXjcRthabVaCofD8vv91rf0eDzy+/3q9Xr2uyhlx+Oxut2uPB6PYrGYWq2WTp06ZUpjkvLs7KzNk4JuMZbw+/0qlUpGxyaTSfV6PWuvjMdjtdttxePxqXseCheEO5lMTKE8HA7V7/e1uLhoAiyUzaFQaIq2Ho1GWl9f1759+xQMBhUOh01ZjKkExW0mk9FwOFS5XFY4HJbX67UNPiD2u+++W3/7t3+rW265RZL00z/90/qRH/kRJZPJqcQeDAYVCoVshti57ScajSoYDOrIkSMmpnLjworv5Rx/TCbXx2K4yfXxF5PJRLu7u/rWt76ljY0NGy2RZDRiOBw2o4d6vW7J5tJLLzU1balUsvbE3t6eGo2GZmdnTaCE8YMkS6BYDqZSKUskxWJRiURCHo9Hs7OzlmCDwaBRySTrQCBgamPUyWypQdxUKBSUzWZtrKfRaJgSOZVK2VxsOBy2vix0NEiYlgyIutfrGe2aSCSMhsXPOJVKaXd3V7VazcZmGo2GCaqgjFEyj0YjtdttG7/hOmHXWC6XFYlE9LnPfU4f//jH7bM7cOCAfvEXf1GXX365JpOJ2u22FS/dbtfElCijB4OBNjY2bOzoGc94hqFuNy6c+F7O8cek/aEbbjzao9Vq6R/+4R/0ta99TdVq1XqfgUBACwsLdvBDSzJ2Eg6HdfjwYUOcr3jFK/SXf/mX6nQ6Jv5JJBLmw4saeDweGx1JrzUSiajb7VqyWl1dNZq22WwaNYvFYLPZVK1WU7vdNlEPYyvNZlOlUsnGgUKhkE6ePKlTp06p3+/r1KlT+omf+Am1Wi1D1JFIROl0WrFYTIPBwOjver2uzc1NS7idTseSYCqVMuFSp9MxNoqiYXd3V9FoVIcOHbJEDN2N0Ite8mg00szMzBTq93q9Zm5BHxbzCWecPXtW+Xze0LPH47G539nZWbVaLSuKut2uLTcIhULq9Xq6/vrr9alPfUp33323oVs3Hl/hJlc33DiPUavVdMcdd+jrX/+6qtWqQqGQyfVBTqAxkGcsFjNP3m63q9FoZPTqL/7iL+olL3mJer2eNjY2NB6PLUH4fD5tb2+rWq1aoo7H42aqgkuTdE4dX6lU1Gg07GdIwCTSWCymZDKpVCplqHV3d1flcln9fl8ej0cnTpww28QXv/jFetKTnmTOSdI5cxd6oiQ0kPPMzIx8Pp9RtCRhkjmiqMlkYmKRQCCgZrOpd73rXRqPx8rlchoOh4ZQK5WKzdL6fD71ej0TUKECjkQiU+ITriGzwpFIRFdddZWe/vSn2+f4Uz/1Uzpy5Ig9zu7uru69914rZLB8xJM8Go0qm80qkUhY4m6327r99tt1yy236Pbbb/+OBO7GhR0uLfwwhUsLX7gxmUzU6XR06tQpnT17Vt1u11aqDYdDJZNJsxJkh2o8Hjc/X3qKwWBQ9913nw4cOCCPx6Mbb7xRz3zmM+15oCBBhdI5dzH6rPQYOfzZz5rNZtXv99VoNOz1zMzM6NZbb1U8HtfKyooCgYA5JUHZBgIB3XDDDYrH43rKU54i6ZzpSiAQsJ2toOnBYGDofDQaGVIdDAY2MgSNCjU+Ozurvb0969tyHUG/qVRK/X7f9sFSVPj9fnNnwgZxOByq0+lMJWAWDSCm4hrWajXNzc0pEAhY8uz3+3rggQfU6XQUj8eVy+WUyWSsONnZ2ZHf79ehQ4fMVhLHKXrR4XDYRpTq9brG47Hm5+e1s7Mjn8+n+fl5JRIJXXbZZe6s7GM0XFrYDTceptjb29ONN96ov/3bv9WZM2dMyVutVhUOh5VOpw3B4ePr8/nUbrc1Pz9v22Ckc1RyIpGwJILdIDQpCl8O80AgYOiPBNdoNBQMBjUcDu3vy+WyqtWq9VGhMTOZjPbt22eCpdFoZPaG9FavuOIKra6uGhKWZIkBK1IclhBmSbJ9sJhB8Pv8jtfrNXUvlPd4PFYoFLJeMKImRoycSJFNOrg+JRIJxeNxQ7DM+jabTZXLZc3MzMjj8cjn8ykejxvy5R9UyJdcconRwIwH+f1+raysKJvNWmLlWlQqFXufsA6ophcXF21BvN/vV7PZVKFQ0E033aR8Pv8dpjduXFjhIteHKVzkemHFcDjUmTNntL6+rnK5rHa7rWw2q729PVOx4ns7HA5tc0ssFlOhULDDGxcmKMNKpaLhcKiFhQVLev1+X81mU/Pz8+Ze1Gg0FI1GbaZTOpfoUbSinmXLDLTz3t6eJcN+v2+G/dC12CVubm7qyJEjks7Nu/K8JCz6roPBQGfOnNFNN92k6667zoz7SbIY97MSjmJjc3PT3Jf8fr+JqljCzngMveB8Pq90Oq0DBw7YfC/jQ7fccote/vKXW1KbmZlRo9GYEm4NBgNzcCqVSkokElPvazAYKJFIaGdnRz//8z+vz33uc1bQsBGIa+z3+y2ZQj1LMh/iXq+nvb09c5UimTcaDSWTSRN5XXLJJdq3b5/rX/wYiu/lHH9Mzrm64cYjGRsbG1pbW9PZs2dNDQrFub6+bv89HA61vb2tpaUlDQYD7e3tqVwuazwe24qz0WikUqkkSYbEWKNWKpWUy+WsVwmFGQwGbcMMlCbJFOTm8/k0OztrvVIoWmjMRqOhd77znTp27Jg+9alPWQLARrBarZoloCRDsrOzs8rlcppMJtbnPXTokI4cOWKI+rbbbtPv//7vS5L+y3/5L4pGo2Y4gfBqZWXFbBSDwaAmk4kZ7jcaDaVSKXt/0WhUBw8e1GAw0AMPPKADBw5Ysux2u4ZCY7GY6vW6SqWS/H6/YrGYUeG4RGHKwePiGNXtdtXpdJRMJvWJT3zCNvb0ej2Nx2PV63WtrKyYoQS/Q3HU7/dVKBQUi8VUKpVMxFWtVs2AYzQa2Wxuv9/XsWPHdPfdd2t1dVVPetKTplzi3Hjsh5tc3XDju4xer6cTJ07oxIkTZuwwMzNjW2rm5+e1vLysaDSqwWCgbrerf/fv/p0k6ZOf/KSkc1QqatPhcGjbmMbjsVG7bI6ZmZlRtVqVz+czG0D6s8lkUuVyWXNzc/L5fIZQw+GwarWaWq2WstmszdEiAnJ6FFN5O0dxsAC86qqrbNONz+dTLpfT7u6uOp2OCYi2t7fN75cERuIkTpw4YYg7FAoZoqMnOh6PDT2XSiUNBgMlk0lD9sy+gjRBvjMzM5bMX/GKV1jyCgQCyuVydh1ZNEBfmt40CRMVMDPBLHdnqxCoPx6PWzHAjltW9zl31AYCAUPbs7OzNqdcLBa1srKiZDKpYrE4ZZLxzW9+U9/61rf02te+1tym3Hjsh0sLP0zh0sKP3RiNRtrc3NTJkyfVaDSMVqzX63YYF4tFJZNJzc7OmjDH5/PpxhtvVD6f1ytf+UpJsvEXRjzi8bjuuecePfGJT7TfZWRFkgmj5ubmLAFCz5LYI5GI1tfXzVyepeXhcNh6q1ggktxwGmIPK/OujAXxPKiZQdJ47WazWVsrB61Jn3Q0GqlarerEiRO6+uqrzQAikUgokUioVqsZUmWEBYMH3JzYbjOZTCzBh0IhFQoFo6NR5fp8vik1sCSjuukjs+91bm5O3W5X6+vrymQytqcWF6tIJGLMAUUMfVTme+PxuPr9vkKhkK2+g/6F3vf5fOZbDGOxsrKi4XCoSCSicDiscrmsTCajbrers2fP6rLLLlMul9Mll1zizsc+SsOlhd1w4zzFaDTSyZMn9e1vf9tmKKEsSSx+v1/JZNIUr3t7e2bD9yM/8iPa29szdanP5zNKFwUpYifmOp22gPj10hPEWB5D/3q9br+H0CaRSJhIiFEbUBq0LIkIU4pcLmf2hIzOkExmZ2dVqVRsZpSEhZiqVCqZqQVORpFIxEZZsASEwmbZeq1Ws/cKYqbfCpLEgpE5VqhretHHjx/XZZddZmprBFMUFtK5MSRQbqlUUjgc1qFDh8z8gbEkigQodB4D4wmSOWNEg8FAfr9f8XhczWZTjUbDUC42kHwGOFhxnfj5brerj370o/qJn/gJW3q/vr6ua665RrlczrVSfAyHi1wfpnCR62MrJpOJ8vm8zpw5ozvvvFOJRMJmU0GVoBLs9UAw+Xxes7OztjsVKz6MI6BHu92uksmkiYmgNlH/4vXLukJoTZAriZB5TdyR5ufnbREAVDK0Lb8D6kLpOplMzGWJRE1fGMN/EqMk80IeDofK5/NaXV1Vt9vVzMyMOp2O0um0qX0zmYypkEmCtVrNKFdJ5t7Ubret9ynJKHPUuaPRyBS7oEknsqWIYMTJuXwdl6pkMmm0+ng8VjAYtJ2uFCjQ6Tg48bmwzi4SiahcLk9ZKDIiheiLawVFzfuIRqPa2tpSIBDQFVdcoVKpZDPRg8FA6XRao9FIhw4d0qFDh1wU+ygKF7m64cY/ISqVitbX17WzsyNJWlxcNBFLqVTSwsKCisWiITXES9I5JJjL5ay3iYE+69hIatKDK852dnbM2KHf708ZKJBIQHckKBJfPB43Khk0uLS0pHa7bUmYWVhGS+gT0pcdDAZ6xSteIUn6y7/8S9VqNS0sLFhCI5EzloISmLnSxcVFo3Cj0ahmZmZMURwIBEw9zGo5n89ndCvr63h8VMzMkIZCIVPqMtLEtUG4RSFBfxU0PJlMjDqXzvXH5+fntbe3p8lkYgifXivUO69FklHYi4uLJm6Kx+O64447tLe3p8svv1zdbtfGnpzXmtfL5p3Z2VkVi0UFAgFls1n5fD5tbm6a+KzX65nN4uLior75zW9qbW1Nl112mXmeu/HYCTe5uuGGI+r1um644QZDkVgN+v1+oxmZ28Saj6TDaIjzYOa/EdlA6aL6JZFgdwiViKCJUR5oRlycnKMew+HQZmQvvvhic29ybqCZTCba3t7WwsKCba1hREiSXvOa15h94NLSkl0Pep69Xs/sDxFhIYSSZOKfra0tJZNJG02q1+u24g66GTMJCoLRaKRkMqmzZ88ql8spHA4b7Qql7hw3uvPOO/Wc5zxHrVZravYXFyqPx2NsgvRgcQAF/pWvfEWRSETPec5zjDYPh8NmnOH3+7W7u6tkMqmFhQV5vV7VajXF43FVKhUNBgNdfPHFtjEHdI9gjHleaPVEIqFGo6F2u22q5EQiYc5UbNkJhUKm+oYJyWQyuuGGG9TtdnXJJZdMjf648egO95Nyww2dczU6ceKE7rjjDnMAci4T7/f7Zp6PYIn+KsiHmUhGYGZnZ00kxPgHdCGoKhgMKpvNmnLU6/UqHA6rUChYPxVaUzrnFETPD0qWPi6oq9lsmtAGq8J4PK5Op6N6vW6ICvQUiUR07bXX6hWveIVGo5EqlYqhNOkcZdtqtfT6179er3nNa0xYRX8XOrXb7ZqRg3MMyGmx6CxIoLMxzjhw4IBmZ2dtlyvFAyiY5HX11VerVqspGo1aofDyl79c7373uxWNRg3Zk8hQNJO89u3bp2uuucaYgmw2a/7JbAFCnEZhwkJ5TC58Pp+Wl5et555Op41BGA6HZg5CGwEE/tu//dtqNBqq1Wq2NpBNQRRDLCBIp9NqtVpaXFzUyZMndfz4cbsP3Hj0h5tc3XjcR6fT0Te+8Q194xvfMBMHDlcERs1mU9vb28pmszZuMR6PbdaTfqPP59Pa2pqhrXQ6rYsuusgSHVQt1CUzmtgFMnKDKX0wGLSE7fP5FIvFtLS0ZEb3IJ3V1VXNzc1Z7w/RESMnk8lEBw8eVCqVMkENAh2v12vjNfF4XNFo1OhQ+q9er1fvfOc7JZ3z0YUaxvaPZMLsKF7CFAwkUJ/PZz1IDPRRK6M+xqjhoRuEEA6xAJ1CAiHSDTfcYD1pXh/CMRKnJF199dXK5XJWyHi9XoVCISUSCRNsDYdD22TENeG10ZumiKFXjAsU87x4HbOswOPxKJ/P24pA3h/LF1qtllqtlur1uvb29nT69GkNh0MVi0V1u13dfPPNtgjCjUd/uIKmhylcQdOjM4rFoo4fP26bWUajkSUEEozTccd5wEvnBDfVatXoXLbMYFtIj3M4HGp9fV379+83da/f758a3SCh1Ot12w/KYzI7ifiGBeWohhHb9Pt9bW1tqdPp6MyZM3rmM59p6mBoZcRUmUxG9XrdREj1et1mM3u9npLJpPUuncpaTCgQDpHMoLtJJJFIxFS6jAI5VdHQ4dls1patBwIBKyxYT0fiYg8sVDifFUKhVqtlZhKhUMiU3fws6/l4bwii+P1PfOITev7zn6+LL77Y0GqlUrH/Ho/HRo1DzzKTCw3PjlquyenTp+2a4gvNnl4sH7nvKHJwjGq322aYwXXY3d1VKpXSk570JB09evT73i/txvcXrqDJDTf+kRiPxyoUCjp9+rRqtZpqtZotxsZcnz7d+973Pr35zW82c3un4UCn0zHRDmiFfhs9RtDp4cOHzdGnWq3avCOIzpmsms2mJdzRaGR0JY9FfxYKFYN7j8ejAwcOKBQK6fLLL9dwOLT+6tzcnPV6GQkhmUUiEUOS0MKtVkvpdNqobUaNnMnPOeYCFY4KmHle0HE6nTY03ev11Gw2be6UxIpVIT87HA4Vi8VsJIgeMfQzCWoymdjYjpNirVQqlrxxXJJkJh8sc6f//NDlAiDrXq9nTljr6+u64oorzBcZdTfFEvtvx+OxzaziwsWIj1MAhUsVnzXjO7FYzIoOSVpaWjIB2Be+8AW12209/elPd8d1HqXh0sJuPO5iMBjojjvu0A033DDlfITCVpLRea1WSzfffLMt/sbqDsTAz6MIZUQEtAkyW1lZMfqSRMP/kwChD6EpnRaDJNVQKKTFxUUbD8FLmCRLAkGhGwgEFI/HrXDY29sz4c/GxoYlDWY0KRYSiYTN0TrRK/Q2FG4oFDL055w/ZXXceDw2BTHzttg3er1eFQqFqeSFkQMJxev1amNjw+wIQ6GQAoGAKYgl2ewuBQrGG3wOjE5BNycSiamF7RQ81113nQKBgI4dO2bXluvIogVmmiVZ77zb7Rq7AU2O4CscDhtiP3bsmL797W9rPB6r0+nYNWApAQkaRTQbeer1urrdrprNpqmJ0+m0Njc3dffdd5sa2o1HV7jJ1Y3HVQwGA911110qlUqKRCJqNpvWA6PH2O/3deutt5rw56Mf/ajNGoJeAoGAyuWyJE2NymCvB4JyKn6LxaIJUtjNiggqEAiYC5KzR4lNIIphp+kCBzujLZlMxhIyB3yv19NkMjH7Q5JnpVIxlycEQzw2m2ygN/nzRqNhxv6IibAVhOIFlbbbbbtWuD1BYbdaLXtuXjMK5Gazqd3dXUvQknTRRRcZ5QyaT6VShlB5/Lvvvls33XSTAoGAwuGwPB6P0um0JWoWJoDY6/W6isWi4vG4JeL5+Xnt37/faOV4PD6lIPb5fFpYWLB+K6IkSTb3W6vVTFBGwTMej/WUpzxFl1xyid0fGIIwsjQYDExAxfxyq9Uyc/94PK75+XkFAgEdPHhQ0WhUhUJBn/3sZ808w41HT7jJ1Y3HTdRqNd19993a3NxUoVBQoVAw9MHYjNfrVSQS0VOe8hSNRiPdc889OnHihC3hbrVaarfbZiowGAxMvcvcKrtGMRhot9vWo0H4k0wm5fV67WDP5XK2PL1UKhlVmUqlLFF4vV7l83mjL6PRqCKRiCFeSUb7QtsyItLpdEzMtLW1JUmGxjnEy+WyvYd0Om3UNPOsWAWCIClMotGojeWcOXNGkuz5GSsC9UK5OjfIOGdBJennf/7n9c//+T9Xo9EwZyZJRpFSWKAMxhFrbm5OV111lVG8JKxGo6GdnR2jXNvttt7xjndIkhVVkuy6ofblObl2mHFA+3MN2CuLexTjSRiDkKSZ4S0WiyZcYvuPc7aWa0JR5fF4VCqVdOLECUUiES0sLGhtbU0bGxs6ffq0/H6/PvGJT+iee+75gX+H3Pjuw+25uvG4iI2NDaP7UOGORiNLTvQ6nQrOZrOpd7/73ZKk97///dbXw6fW6/VqNBopnU6r0WioUCiYST0oBMoWO0L6ghgWYLLvTLTsS4W2RGXMoR+LxYwKZCk67kBOR6Z6vW5jMixOl85t8OH3+v2+6vW63vKWt+jtb3+7rrzySkkyJyFcpECw+OoOh0NTTJNwFxYWlEqlrN/Y6XQsOezu7iocDlsiRiFNrxElrrN/SN/bqeCVZHQtiJUF74zW8HONRkO7u7saDAY6efKkFhYWbAb4N37jN4xiBqVGo1GzYKxWq1bQTCYTW4fnpJ95bbhbQaF//etfV7fb1RVXXKF9+/ZNIfiVlRUTLKGuxliCHjWLBbjWLHDv9/uqVCqKxWK66KKL7L647777dPDgQd19993q9/u66qqrHoZvlBv/WLjI1Y0LOkajkU6dOqXbbrvNlmCHw2EdOHDAEiGIlWSJcpZDet++fYrH40okEuY0xGP1ej07EJPJpFKplJLJpObn55VOp7Wzs6PxeGzLvYvFogaDgXkPc7B2Oh1z8alWq2Yej5OQdM45Kp1OS5I5M4EKnX1ZZllHo5FtsiHp+Xw+S/DpdFqZTEYnT56UJP3e7/3eVPIgYUuyHbIkhfF4bGi/Uqmo3+/bqjdoWRysZmZmlM1mFYvFTKQDFYpLEqKk4XCoT3ziE/rIRz5iPy/J1McobpmTlWTXDjRPD5WZ1M3NTX3gAx/Qb/7mb1pBQd+XWWXuFYoYaG2fz6elpSWlUimbReY60g7As1g6Z6axu7urL33pS4ZwU6mUvUfniFGn07EigRElaGaSNvTx7u6urRykz5/P51UsFrWwsKB8Pm+F4pkzZ+w53HjkwkWublyw0e/39e1vf1vb29tGJSLEcY7IkJBY2RYKhQxxffrTnzbEyDgG/UJJphBmcXatVjNHIxCqJEOyTjs+KEUQrSS1222jglG4ghgx8HdufIEipkAgybJ1JhQKTaFekqRzzOUpT3mKrr32Wq2urqrdbtuYEcgOS79EImH7VjHF8Hq9SqVSlvx6vZ5R6Aii8Fn2+Xz6kz/5E332s5/VZz/7WXOboohg5AXKNZlM2uyok1Zvt9tG3zYaDX3oQx/Sm9/8ZmUyGY1GI2WzWTOZOHDggCVPPi8SMz3lWq2mTCZj41gIrLCwPH36tBYWFgzJOlkLDD9isZjtu73uuuv0i7/4i+YuhYqb34fpILGCbPls/X6/uYAhGFtcXLQ9u71ez5J8MBjUqVOnNB6PNTs7q7W1NVWrVeXzeV155ZVGb7vx8IeLXN24IKPX6+m+++4zwU+5XDa3nmAwaF60HHozMzM2u4mCM5VK2c+TjElmHo9HsVjMkB3oled2+s3yD8IlRmh6vZ4tBPB4PKYqZWYS711MHKCuUQZDp4IyOZzp0SJechYAm5ub+vSnPy1JNlcZCAT02te+VldeeaVSqZSNsdCPjkaj8vv9KpfLikajSiaT5u/LqA2vn5Gffr+vjY0NE1/RO81msxqPx1P9VxL13t6eksmkKalxqAItg1qhkr1er3K5nN72trcZesfIIxKJqFKpGEPw3ve+V3/0R3+kbDZrc7fZbNZaArQI6JNCrUOPk/TxO8ZYpFKp6POf/7y2trasAInFYva+Wq2WoVDuQUwgeM84MoFMcQXDaQpBFasEoet5LwsLCzp8+LCWlpY0Pz+vQqGgVqulM2fOuI5Oj2C4JhIPU7gmEg9f1Go1nTx50gQfmUzG6Dg2jnBAN5tNJRIJMxrw+XxmGNHtdo0CBvH90R/9kd72trdpPB5ra2tLq6urNvg/MzNjKAd/WGjCSy65RNK5+2B2dtZoQkm2KQYhCwcyiRSzAyflSf+NXuTMzIyi0ajRlRQK9XpdyWRSjUZDc3Nz2tnZsZ4e14MkhzkFIiinGcOpU6c0HA51+PBhcyQCxbHxZ2NjQ9ls1kzr6SHyGE73IjyIJalcLhtrIGmKFWC+l89F0lRyRaWMirharRrDQM83l8upUCgokUhYAmZlIPS5JFNXM+ZEcYNJCNeZz4zdtYFAQKVSycaI6CmzpUeSUf6ovxGOYXIhycRfBGiYFkEymTR3KKc+APtE/o21Yrvd1lVXXaUnPOEJrtnEeYrv5Rx3kasbF1Tk83ndcsst5qxz1113WeLBw5fDmTES7OagKCXZIQeCC4fDSqfT+uY3v6mf/MmfVCQSMZoVFyUOOHx+w+GwIpGILr30UnW7XW1sbNih6PV6FY1GlclkVK1Wp/a3gj5rtZoJnKBQGe0hSdDLZYSG3idGESAwLBMZP8KT19lnTqVSqlar+rVf+zWNRiNTona7Xe3bt0+HDx+2mUyQXDabtSJldXXVRoa63e6U3SOCIQRL9EQDgYByuZwkTW25geJ2br9BCc3c597enqFgRp9Aic7+pvM64ca0s7OjarVqqm5eA2NHLEMYDAZ6/etfr2uvvdbUxyRuVNNssUG5zP2CEUSxWLTnhvblsba2tsxyE2SOvzDXkRV5XAsKL65xo9EwpO7cYOTz+XTs2DHdddddcjHUwx8ucn2YwkWuP/ioVqummHRScpKmfICd1oS1Ws12gUoykRMmBM5kNplMtLa2ptFopOXlZROf0DMDRYJwGNEArThfDwkkHA5ra2vLlKOMjkjnxkSggj0ej0ajkYld6AvSqzx+/LgOHjxoyNBp+oDwCm9i1tgxlwp6Qr27trZmAiSeF/ckRET8PBQp/z0cDi2BgJ4RMTEa5PP5rI/rnBEGebN7lvcXiUTsPUAnQ9U6ld7s0WWuFFWux+NRMpm0z5XPB7tCp3cwbQRmUKPRqO644w7Nz89rdXXVXqskK1bq9frUovVgMGgJj/shGo3ajDDmHjwXBQ6JHmaCBCmdM8BgP3Cn07F7GOrYuWSBn93Z2VE4HLblCs9+9rPd3bD/xHCRqxuPu2g0GvrWt75lfTrcb5gVRAGM6ARkg68uIiGMHkgYHHYIhg4fPqyrrrrKBEcgzU6no7W1NZ09e1YzMzOKxWJGe5JUQTnpdNoQZalU0uLios6cOWOCGsY/tra2jCokEYVCIZXLZdXrdRNnNRoNveUtbzFHHxKdJEOOrGBDIIRgazAYqF6v2ywpiYjkiZl8tVr9DmtADn621YzHY7OHxLaQYiIcDqtUKlmC5DFQFDt/luSBX3Kn0zFLRnrA9MBPnz5tCRdlMeb4CKVwpcJtaWZmxhJXJpPR3t6eqb/xKsaAIhKJ6KlPfapyuZwqlYrC4bD1pbmGyWTSKGaSHht93ve+901RxpJM+EWBhSqb3ipOT91u1xTg/HmhUDCbSu6pL3/5y9ra2jJkv7Ozo1KppGQyqVwup62tLZVKJd1+++1TtLMbP9hwk6sbj/kol8v69re/bckOdCrJ+p6xWEzZbNZoRcQ4oVDITNVBOiA+6VxSgH5kbRvqXhIWFn/OXavMJ04mE83Pz5vCk74gyavZbKper+vw4cNm8hAMBjU3N6eLLrrIEI8TtdELnUwmNqLxuc99TrOzs2o0GqZmdfYI9/b27HXQb41EIspkMrZ1x+/363//7/9tvU0SINQtiQ0kyVwtgi/cqaBqnaNKePDim+x8/EajYYiMz4EeNL1wqHGKJQRVT3ziE62AoABZWloy1M38MDtic7mcGT6wOYheK31wCipeN8yGz+dTtVqd6n9jBMG9wl5YlMb5fN6EXdDXMCL0klutlvX7QbJcS9by4fjE/LWz+Gk2m9ab9Xg8OnjwoInC9vb2tG/fPuXzee3s7Oib3/ymK3J6mMJNrm48pqPT6Wh9fd16rNCJ9FT39vZMVcnBCaqEYqU3KcmoSw5rFLCocUmQoFvUvP1+XwsLCzpy5Ih54+7t7emuu+5SIBBQNps1swhQHAc+fVWQp3MhAK+FxF8sFtVutw1Vr66u2oJx0CI7Zik0QLGdTsfcl5yUd6fTsfGaL3zhCyqVSkqn04rH42bgwHo7J33JGBP9YelBoQ9/By2OQjccDlsPFGN9epzMfUIvx2IxW9ZOsYPRP5aSzNQ6qX3oVvrifIZYODKbSmuAn4PCpQiARnbOMkvnijmKKJTTOFlx7Xmc9773vXrBC15g71uSmfuzQWd9fd1mWtEAMLLFggb8krmHsers9Xp62cteZm0KKH/66IjbcrmcRqORNjY29JWvfMXtwT4M4UrI3HhMBq45t956q8rlsiUkRCztdlsbGxsqlUp6/vOfbzOj0IT0DxEiMZYB9cmBzRYTEBNzh6FQSPfdd58uvvhiG95nbAMKz+v1KpvNan193WY0nQc1BgOY4bM7FWUnRgeIikBDKIDpwTabTZt7HA6HikQi8nq9NmPrVKzipkSv0CnciUQi+u3f/m3r2TJrKcmoadAes52om0ulkjlM0YcFjfHaQfSImba3t018g+E9nyPPOzs7a6NGnU5nymkKARFMQC6Xm+pHSrL/7vV6ymQyajQaRuei6gUdkjxJ9LFYTNvb2+ZjHAqFlE6nbZsO3seVSsXmkaGbnfcC/VdJVpiQKAeDgc3iOulqFtFXq1Xrr1NQJRIJK3woAJ1onFYFBh3Ly8vW12cM7fTp0zp06NAP/Hv6eA43ubrxmIxTp07pzjvvtL4VhxEJKRaLaWZmRgcOHLBhf+lBYQiJhtEG6GOPx6NUKqWdnZ2ppehO8cvGxoY95t7enilIScrQquFw2DyDZ2dnjSpllMLr9drhmcvlVK1WzUSi0WgYSg4Gg9rd3dVoNLL3CJpzmsezf5bExChKMpk0WpnRG1bURaNR1et1ra6umrkE16bVahlViQBHkrkhoZiNxWL2vre3t40dwMAftMvvMd6EaxQiH8ZXsEKEIqVHzOtw2jtSVEiyRQn4BTs/DxylQOuY49PDTiQS1uuk99vv9zU/Py9JNp7j3KTjHM8B7bZaLXOSwqxkcXHRWIlisWgz1LQvnOYR3KMUAKB95pFhEChCJNn7397etrWC9MO5L4bDodbW1kyVfu+99yqbzZr7lxvnP1xa2I3HXBQKBd1yyy3a3d21UQsOPsZEoOVQds7MzKhYLNqBxf7QWq1mCloO9o2NDVOQskOULTCgRA7R0Wik7e1tSbJ+onMdGmMorVZLfr/fEFqr1TJDgS984Qu64YYbLPFXKhVb2M7SbPqbLATn9dLvq9VqJoBBDMOsJg5BWBWSYKLRqBKJhBYXFzUzM2M9Pq4bozLtdttEYs4igsTPyEggENCRI0dM0IVJBeM/fC7Q6SS03d1dc9Hy+XxKp9Mql8v62te+ZiwDm3Oy2az1ZkmYTiMK6FUUtCxKoKCCPnb2aFH1QpVyD7FQgCTJPCs9bZI9j01iD4fDyufzarfbajabyufzdr8xc12pVOwaOxcGFItFQ91cs1wuZy0CijSoaElTCnBYi3A4rGq1av3sUCik2dlZ7d+/34qIkydP2qIFN85/uMnVjcdU9Ho9HT9+3Kz7nMPz6+vrRouNx2PNzc1pbm7OUCm9NUwZ6AlycA4GA1UqFZXL5alRFg5xDjXoTbac+Hw+5fN5WzDOeA3CHOmcaAfV8NbWlgqFgs2k/s//+T/1rne9y+hLKD+Px2NqVgoHZnQR4fR6PVNIO80o4vG4ZmdnbS7VSVv3ej3lcjkbfQmFQraZhY01IE2QjhPt0VsE1dLrRsHs8XhUqVQkyZDgPffcYwkfcQ7JA/N8DCGgcH/4h39Yo9HIrAJ57oWFBXPRmpubM4FRt9tVsVi0ZM9i9Gq1aiNHFCFOcRU0Na+X98FnCW1NL9lJ29MLRoDErthMJmMIEyUxRQXX3Cni4v5LJBJTYzrj8Vj1et0QKz1i0C6tjnA4rOXlZSvQ6ClTODj/m8/z9OnTeuCBB3Ts2LGH+2v8uAiXFnbjMROj0UgnT55UoVDQ0tKSksmk6vW65ubmtH//fjNvABHgaxsKhczusFarKZVKGcrZ2dmxA348HmtlZcVUv+1224weQI/MZ9JXjEQihkoRRjWbTS0sLJgAicXjIJ7l5WVbSwftKJ0boclms9bXZSYTBMXCcxCsE0EhHHI6ONEPZWcq19C5ao6Ey5wnApvl5WVJ+g5TAnp+CHLa7baJyLxer/Umm82mIcrhcKhrrrnGBDuIpPDVJalLsl4vaubxeKxMJmOv1efzqVKp6P7779eVV15pvXQEUNvb23rDG96gWCymv/iLvzAqn9VuKHS5rrxn/p/igIIG5OoscKQHlc4kK5/Pp7W1NaPoWXbu3AeL2AlXMAoYRmuazaYymYzG47GN97ANh5leIhAIqNlsThlL4J2Nq5dTWcxMLMUZZv+nT59WpVLRvn37rOfsxvkJN7m68ZiIRqOhO++8U7u7u4ZIqOar1aqpfPf29rS4uGgHPSvdBoOBzpw5o0QiYQkoHo/bKjFQgbM3iLkCvTp6mRxmzoMUOpK/d3rRSjJPXUY3AoGArX770Ic+ZKMeiKNarZa63a5WVlYs4bCiLhQKKRwOq1KpaGVlxUZwSJSgJNAPaBFbPAQuS0tLljBAh7gDsQEGAVa9XrfECE165swZra6u2vvHqMGJqiKRiAmOOOzpKdIHp887OztrIzEkNpTIqK0TiYT8fr+e8IQn2AgU4zKSzGmp2WyqXC4biiOJwlJwfzhVs6BK0CafOyv+BoOB9VmxZsQ6Mx6Pm1kEhQaFFsUE4078Di5MXBNaAZ1OxwRrjO9QEMXjcUO43BcUhojwnMsQ6H3zd/TDC4WCbVgqlUq6+eab9fSnP91mhd34p4dLC7vxqI9qtaq//uu/1tramgaDgW0/YSUZik+oUBSjrERrNpu6//77VavV9LWvfc1QIyMwIFd6XxyGf/RHf6R6vW5D//V63Xq4UKfFYlGVSkW33nqriVNIcJ1Oxw6wSqViyZPECrpJJpPKZrNmerG1tWUomrna+fl525wCXb2wsKB2u61yuSxJhl6gH6EtoS4vuugipVIpVSoVHThwQMFgcMo1icSSzWbNbIB+Kyv3JNlydeZwSdCgPq4Z9CPjMiThVCqlWCymUqlk/T9ngsBKkJGqmZkZU4TX63Uzd6Dn+6lPfUrlctkKlN/93d/Ve97zHkvuJEvn9iBmS0GeiMsw8eDxnUpthGH0sZ2z1JhnOOdqcbzCsESS9UVRdu/s7JgAjt53Op22AhK0iw8xrInTYjMWixmqDQQCVoB2u101Gg1jLmAE6A3jGMWWoTvvvNOdgT2P4SZXNx7VMR6Ptbm5ab66HAaSppxqSqWSWq2WCVyazaYdjplMRpL0yU9+UrVaTevr64Zys9msCW2Ym0Qc9bM/+7NKJpOGZplVdNrqSecOwP/6X/+rPSaHL2gWpSemBoFAwHqw4XDYzO673a62t7f1d3/3d9re3ra+LgKqfr9vCBjqGLTT7/dVLBYNxTF7m8/ntbm5aQUHBy8/Kz1oGI8ACnMLNtKgoibZUdSg5CWRo+pNp9OG/jn0fT6fNjY2TBAF2sOIAXMKrh+0cKlUMoTK6BKfR61WU6fT0Wtf+1rrJwaDQT3zmc/UZZddplgsJr/fr+3tbft8YTJYAF+pVNRoNKZEaaBn+tIkOPrItVrN/KDz+bwkWYHALC1FliTraULRUlDhEMVu3rW1NdVqNRUKBRNscR241iD0ZrOpdDqtaDRqSZYZXpIzVHCn0zEdQaVSsaKGAuDgwYMql8va2NjQ9ddf7+6CPU/hegs/TOF6C39/sbW1pS9/+cu2EaRcLtv4BqMtKIGXlpZUr9cN7Ugy9DAYDHTy5EkdO3ZMqVRKy8vL1he95557dNVVVxnSm5+fn1LhgjTH47FKpZItTWfWlsXjJGccftbX183Yvt/vWzKh30m/1O/3m6kEOz6hRPH1RcEbDoe1s7NjaMRpKgBFCEoLh8N60YtepCuuuEK//du/bT1iRFg4HyG4ARFz7Ti4mdeEXuQaM8YDJYx/cafTsZ4iM54UQSBQFKy8Z0mmpubvYSU4ojDWYNyKrT6M2nA9SZB4GJMgf+M3fkP333+//uqv/soeo9VqaW5uTru7u7rzzju1tLSkeDyueDxuSxXYTsOIFHPAPt+5VYZ8nyORiGq1mn3OPp/PNh1hYuHs2/Ieb731Vh0+fNiSLgVcsVi03b4UY+z05fP1eDwqFAoaDAaam5uzgonX7BRSSbLvTK1W0yWXXGJL4Xn9nU5HP/RDP6TFxcWH4+v9mAvXW9iNCyI2Nzd14sQJ/dVf/ZVZu6FwdXrTttttLS4u2t7QaDRqyQYbwEajoYMHD+qlL32pnvKUpyiZTOrVr361fu7nfk6HDx82WjKbzapcLtvvMLaDShiUGIlEbBSHQxbTePpvJG9Usk4FKskTZav0oEcvxQP0IX1dEG82mzWzC+z7+B1GT7gWn/vc5/Tbv/3b1nu77777LFGSyEB8HNiRSET333+/3v3ud1tvkh4iKJb3A7LGfB7hDmridDotn8+nWq1mfUs+I9CkJDuoMPvH3xcKn5nUmZkZVatVo7/z+by63a5R+c7xIyheDBt+5Vd+xahXKOF0Om392fe973369V//devl89k4xWEI4R56rVF+Y6xBgocRYHRJkj1/pVIx9gQVMMpgjEpqtZp2d3ft3uf6088Feb/xjW+0/i5tE5gN7g1+H3crCkdGtPizb3zjG9rd3X0EvvEXVrjJ1Y1HZVSrVeXzeRUKBf3CL/yCHQwY7WOogCE65uuIREA8IEkONGYvQ6GQXve61+mXf/mXLQm22201Gg2zmjt+/LgeeOAB1et1lctlQ1ugIoRRzFH6/X4Vi0U1Gg3VajUTr0AFQ+2Nx2MFg0E1m01L3s6+p9/vt32yzMSicIWabbVaU05IzLHymChtGQfpdrsKhULK5XKWKBkpeigCbjQaOnLkiF7zmtcYnV2pVCwxSg8aF5A82u22/tf/+l96/vOfb25CzMbyWUky4Rg0NY+HkviP//iPVSqV7PWh1g2Hw4ZAk8mkqaMRYa2trVnPFCtMChno+Ewmow9/+MO2YhDaltf08pe/XAsLC0omkzYi8/Wvf31qbImWA++LVgGFFsESAARCLI0YjUYqlUqaTCbKZDI2WgSLsLS0ZNQvfV+n1zUUPPci+2vf9a53TY06UfQVCgUrWLxer5LJpBKJhA4cOGCFz97eng4fPmysRa/Xs+1Pbnz/4SZXNx510ev1dPPNN9tmD8RDDOIvLS1ZEkAs4twdykA94hpoQKehv8fj0etf/3o973nPm+pPOXduHjlyRCsrK/rgBz+oz3/+8yYYymQyJmhBAZrL5RQKhZTJZOy5nN6w9IojkYi+9a1v2bwkiW11ddV6b6AtDkpJhoBBUtC59CBZds7/c8BCS0JXUhwgnCHhO7eszMzMaHFxUclk0ihQr9drBQazs/QXEd/gLxyJRCypsY3G2YcGSdGzJpmMRiO99a1vVTabtcQFNd5qtVQoFFSpVMyPOBwOK5PJyOPxKJFI2DJ0xq9yudyUaQXXEzERYykgzWc961m67rrrbO42GAzquuuu0+7urvkTswSCnjZWhc5dudCxmEhgRYg/NYXGeDxWsVjU9vb21DJzeraMj8GIOCl7J6K/9dZbdcUVV1ivulwuG7MBrby9vW33AkmzVqspn89bLz6bzZrw7NSpU7rrrrt+wN/0CzvcURw3HlUxHo913333qVKpmEOS1+u1/Z2gypmZGR0/flytVktPfOITp5AUSZAqH9TFcD5JjVEHEk40GjULQA47n8+n3/zN3zRTeahPEKMk+z3EM/SHZ2ZmbC4VmpRNLvSCOXxJPjyec50bIitQKAc6/UV6ulCGJHLGRTCj4LXweDhJJRIJFQoFKxQoUBKJxNQOV94X69Y46EHIr3jFK/Syl71MkswnmfcBnepMdPR/sWyECibp8TkzO8vcsXQuMZB4oYzZzgMqlh5cfo569pZbbtHLX/7yqWUGPp9PCwsL6vV6Wl5ette8u7trm4pA9oVCQQcPHtT29ra8Xq9SqZQ6nY4xElxz5mIRfjnXF3I/j8djLS4uWnEUDAZVLBYVj8eNgseH2mnPSQtjPB5raWlJ0WhU1WpV+/btmzLpGA6Huu+++3T99dfrVa96lQnUnO0MRot8Pp8ajYY6nY4uueQS7ezs6J577tHy8rJ5VLvxvYWLXN14VEWlUlGxWLTxGKcxAvOW0KOFQsEENQzAl0olS4AoQl/zmtconU5bjwwhDJ7CjPL0ej1T4XLo8ucIb6Bu6XsxfsOfp1IpG/yHWiyXy1YcQOuCZCqVigqFgo2S4NxDwnJ64NL7k2RmCiRnTCzK5bLy+bxR1TgFkWwwwudwZdQGkQ3ohz2qHMAsm5dki+S5zqFQSKVSyd47BgigPVyXnBt+6PFCnbJPFTTG54IJBH7H9EoXFxfN/IE9uai1ocAxEUH8VigU9LGPfUybm5uG7KCPJU2t3mOMx+n3S298d3fXaHpUwYjeYAkYmcGAQpKJjaB1X/ziF+vv//7v7d5lew3ewxRoOGLhK839yeYn53MFg0EdOHDAlNBf//rX9YUvfMGMJFDQnzp1Sru7u4baW62WfR+w9kwkErr55puNkXDjews3ubrxqIl8Pq+vfvWrJihxUmsIPZrNpnZ3d1UqlXTZZZfpaU97mvb29mzEAsVjv99XuVy2lXKoS0FhqFhBEM5xnM3NTeu/YsI+Go00NzdnCIUDESQIDT0ej+3gw6/WqRYlcaLY3Ldvn9n59Xo9s+dzbn6JRCJ2iJIQKR4Yf7n//vt1++23K5VKGe3oXEggnUsQ6+vr+sY3vmFo5XWve93U4esUgNHzRNDF68cXGFUviwdCoZAVFlj7sZ7PKZpqt9vmMNXtdrW7uztlKeikj0nM/B0mDc1mU29961uNcmdJATaUiMcqlYol6AMHDugP/uAPDOnTKyWRhMNhM3RAXIZPMFt/NjY29PrXv15er1fpdNqej+sELc22GueIDnOqUNWS9OQnP9mYEhTWkmxBfKPRMG/lRqOhQqGg0WikZDKpWq2mZDJp1DizurAswWBQV155pf7iL/5C6XRawWBQ6XRapVJJH/7whw3x0osNBAJKJpPa3t42lmQ4HOqb3/ymFWdufPfhJlc3HhUxGo20u7trqAaXHsRIkqzfF4lE7FCFdqM3BYpB8EOS44CFPgVpBAIBFYtFXXfddTbwz8YSVo1xWCI2wmeW/h0zqsPhUNVq1VygJJmrD+gI2hPalSQgyVCpc46TZMzqNJI1XsoPPPCAvF6vDh06pAMHDkypVROJhCH+eDwun+/c/tcnPvGJpnCWpA984AOGinw+n5rN5tSKPkaMMI9gdtLj8Zhgh9dbKpWMBqUvHI/Hp1auYV7Bz5HIR6OR7rjjDnNAcpotwE6MRiPt27dPyWRSH/7wh81iEqrUacixb9++qXZCKBTSwYMHdeDAAUvcCKlYrsBMKW5avV5PF110kY3AnD17VtKDa/xwuQK9ohaXZMiSlgHvn0T52c9+Vul02ly7nImVfj4OVyizz549q0qlYii4VCqZXSeaBJLv3Nycjh49Kr/fbyNJ3PtOhoPNOVDJMDKlUsm+nzs7O+f7K3/Bhzvn+jCFO+f6f4/hcKh7771Xa2trqtfrdlhJMvqy0WhMjSLQl6Qvh3IWJPWVr3xFL3nJS6z6pmfGGApqzm63q1qtpne/+916+9vfbiMYrVZLBw4cMBqaw57l0yQfEK/0IN1HzxA6lnlYlMv0eekZIo5inrXdbpthP7OpzD3yPiXZqAgm9iR+rglJiR4pNCfOPfShGdlw7l91jvPQE4aWZm8rPsRLS0uWRKHCGTfCBcg5t0tPE3UziwSKxaIGg4GSyaT9PPQmLk+oZOkfUzSBjFnQIGnKhpDdtPSTKZZQK0PDg5LpB6PYRnHNTDVOSBdffLHZOlKMoERmtaDH49Hu7q6Wl5enxo+gn7kneH4SKXOwxWLRrB9ZUoE1pSTrsUqyohC2hWuGmUm9Xrd7khlqp2sVs8UYVuBp7fF49JSnPMUMWR6v4c65uvGYinw+ryc/+clmcg/NVigUzKoNlCk9WP3jnUo/sl6vq9FoaDKZ6GlPe5ptoeEAhWamf8hKrmg0qve+970KhUKmjMVYAZs8ZjUxscCowtnf5UDiYMavF8UvTkHQgDgBffrTn1a9Xtf29rYddszUgoq5Fqh3pXOFB+iDZeIc7vSHEa+wj3ZnZ8cMI5wCJXquWPKB6jh4Y7GY0um0LfhGBMYBQwE0mUzMLnI4HCqbzRqqY2MRCaRUKhmD0Gg0LMmTFBldQaxEksDsnmIJiptkAzLkv1kxx7o2xGWoyumzk0jZgvPQPjT3GuNMF198sbrdrqFYrgvagHA4rGAwqGAwaP1/p+Um7YHxeKwPfehD+uQnP2miLAoUxFz0sikiuI+xRUwmk2YrSSsE1oN/l8tlfeQjHzGRFAzQsWPH1Gg0tLu7q36/r1wuZy5ehULBmJPTp0+79PD3EG5ydeMRjUqloi996Ut68YtfbIcZVB4OQMVi0RAYf87hX6vVjIIlYWAP6ExEHMYkUDyE5+fnp5AHPTMcl6CYd3d3FQqFlE6nDV1hrs78JYb1zEFyUJJcVldXTbFcqVRUr9fl9Xr1Z3/2Z1pbWzNVKMvHEemAmKCwNzc3VSwWJUmHDh2ynl44HLaDGPTMKrq9vT3NzMzYjGg2m5UktVotK1xIjAcPHrSERuIajUaGyDDoZxwH2hlzeJKi0wyChQS8L7yKKZRisZhSqZTNvjIjW6lULEmxaQfEN5lMbIsQojKSIi0Cj8djiwMwBaHYYg8qBRLzuVDFqHoxykBgFo/HbSn5ddddZ2YMUKncj8zEMjLFBiHnzl8o8de+9rX6sR/7MeuPk9Q8Ho+SyaQxC6i8YREY0aFPXSqVrA0C8sSFKRAI6LnPfa4xMVzTyy67TMFgUJdccokZgmQyGaVSKR08eFDHjh3TcDjU7u6uTp8+/TCdDI/9cEdx3HjEYjQa6dixYwqFQnrNa16jTqdj3r9Pe9rT7OCIRCJGhTKD2Ol0bHyGxAaViphkaWnJ7OkY5SB5Qc3SQ8S0AEN95zo3dnQyt1mpVIy2w1WHERP6dYlEwlSeKGo5xIfDoebn502d/JnPfEaDwcBoXXpijKggusK8gteDAQBFCNQnZhlcYxAaSB5a1pmQMeCg7zcYDCTJECGImyKk1WopGo1qfn7ekBQ0JmhbklHDJG9clRYXF6eKHSddmslkTGBFUnduKWJTDP1hii5JVnjx3NCiiLWwhwSNEuPxWGfOnNE111wj6VyPkTlg/I8RiuGzzJgWlCp9VdYQFotFzc7O2owySw7i8bit6wONMuPMYzuTKW5J6A+y2awVISTydDqt+++/X6lUyoR7tELoqXY6HWUyGc3OzhqbgmpdkhUYjK8lk0mFQiEtLi5qPB7r1KlTtqnJXU/3j4eLXN14xIKNMktLS1pdXbVVcUePHjVKdHNzU5VKxegtaGPn2MBkMrEB/Y2NDRvBcB7wCDYkGQ0KkkBdSW+SEQtmYul5TiYT1Wo17d+/X5IMUYG0ME9A7YsgJ5VKWRGAVR8KaBIfoh+v16v19XWzIuT1VKtVG3eRZLOQXAsKCkRK0rkEAXrHSYi+KGYI9KSTyaQlrUAgoHQ6PXVAI/KChkbFzGdAAux2u+p0OvbzjKIgpAFxUZDQywVNIaaBpsXggoTB3/PZQu1TfBUKhSlldbfbtc8VQ4t+v29rCp3U/q233mpbaugtQuvjCS3JlOkej0fPeMYz5PV69Q//8A+m6sb8JJVK2UgNs8dnzpxRtVq1tkKn09GnPvUp+10KKkaw6AXPzMwY+wJKXV9ft7EgWI5yuWxmI/SYmd1OpVJWzCC+8vv9KpfLZk1JTzoUCqnRaOjMmTOmHYjH46rX6/r617/umvt/F+EmVzcekdje3ta9995rBgtU1qwNa7fbymazuvzyyw0x+P1+VatVU6Leddddikajth+z0+no3//7f6/Xv/715trE4zHfhynFxsaGdnd3Va1WLYlKstVy/+N//A8b32H3JRQdqJHnHI1GU0pbFl5ziEEVJpNJG/VAZQwCYzzE7/fbyAamAyxbpz/K3zupX2hjfGoHg4GJnFD5ohp19mBRyjIDCQoDrUrnkglzvYcPHzanJsRFvE8nDQwVDFU8Ho9tXhJHIChvEjTICdEVzAXexphmSDJPYFTjhUJBzWbTlNwodDFVgEb+8Ic/LEmGeJvNps6ePatAIKDrrrvOnKMoFuLxuFHDtAGcc6X0yA8cOKDNzU2jgFkniPp9ODy36/UJT3iC9vb2dM8999j7+fEf/3ErQhgzIjE6zf65Tyjo2u22lpaWrBWxb98+e72dTkf5fN5W4UHHO/cGg4qZ4261WrZEAaSfSqW0tbVlW3y4x51FnBv/53CTqxuPSJw4cUI7OzuWFDisMC+g54lQ5tZbbzUbOg6XH/mRH1G/37eVW36/X3/+53+uP/3TP1UoFNL73vc+bWxsTNkD0gs9fPiw5ubmlMlkDImVy2W1Wi3dfvvt+uIXv6hPfvKTJvrY3t62kRyENRi5YwbfaDSsv4cZOqMzjO4g0AKRVSoV23aDEAiULMn6t9FoVLlcbio5gthIXgsLC1asJJNJc5Ji9hVxDxRyJBIxZIUvL7SwJEOKvC56tyQVp1VjPp+3AsW5ZQckxiq0QCCg+fl5ra6uGmWJ+hshDj1x3idjJ4zL8JpjsZhR/tlsVul02oQ/JCbUwhREP/uzP6t0Oq2lpSVJ50z05+fnzfCCa0m/lrGYzc1Nu/+YcyZZRaNRXXTRRfa8UMFOEwl6zrAqzN9CpdMS4d5xFipnzpwxVMm893g81qWXXipJU9uYGDebn5/XZDJRLpezRMxaQvQKuFf9wi/8gn7913/dFNm1Wk31et3oZDY75XI5+47efffdVny58X8ON7m68bAHSITRGudoBOvNCoWCWq2W0X9HjhxRr9fTV77yFTscJBltSS+uVqspnU4bir388sttjIIDixGVUChk9Ci0l9fr1ROf+ET93M/9nF7+8pdra2tL0jmktLu7q7W1Navq2YlaKBSs1+dUCpOU4vG40Wj431IQcMjjtoTfLFZ0LLXG6SiRSNjWHg5ukjGCHB6Pw49iAAoWuhebPpJKtVqV9KDCFqqSvtypU6esF9zr9VQuly15Ly8vG6qkeKAvDmvg3HFLL5PrIcnUtIil6LvSw6WwqVarhjbpZfN+QHgsfMdz+N5771WlUpmaOWbJgZNq5bVyT1GYffSjH51SEGPwwCyyJKNz6bODPrn+FCqTyUQ/9EM/ZAYVPA60LXR9JBKxHu1kMlGxWFS1WjVXLvbuck9zHzQaDVt3SHuC8SnucYRp2EC+4Q1vsO8ezIfT17jRaCgUClkBkc/nddttt/2gjogLItw514cp3DnXczEcDnXrrbfawmkQy2Aw0MzMjCEeDjiQAm45pVLJBDnQomx34aDgeaCBOZydSZaDNpPJmN0eVHIikbC5zZ2dHaVSKb361a/Wv/gX/0JXX321HU4czqBR6DnoSHqSmFwwlM/cJzaM9Hyde2IRPjnXo/F3uFfx31CoTu9ZUCvvGYMKVLUcolDKTgcm+nEIl1BRQ+FSBLEMAGMMeqzSg17CCGdIFlDIPB/iNARlCH8QBdEjhl5FlMa1gc6EMqcvjvLYqYLu9/uqVCpm6cg1ho53CoG4ryiEuNcoyPr9vq1xg0LnOg6HQ6VSKXtdIFJmVRG/4URWq9WmfJ1x3SJBl8tlU/dyb8N0ILTjnqZFQu8cxTrIlaKF946YD2YlkUhY8YFSHgvJ4XCoUqmkTCZjbYSnPvWppjx/PIQ75+rGozZOnz5towtQbxzImDJIMhUvhzGIDrEQqAynIEmGKvD+5SAE8dFvYv4Sygz6E/MFtrFEo1FdfPHFRjH2ej3zKHZaEZJgsGbEWg9ULsl6W6BbxCzNZtMOORAddCrviflejPBBZwiqSAKYP/Bz7XZbpVJJH/zgB+3Adv4eSQOanZlW6MjNzU0TH4FWH3rwI2ZityyJHAERBQ+FknONHEnSKTBDpOX0GsanmR7xzMyMYrGY9b9f/vKXT63ti0QiKpVKWlhY0N7enl17/i4Wi2lvb08nTpywx/f5fIbKQMIUAyA8CoCZmZkpsZCTSdjc3Jxy1drZ2TFlL0wN/Vw+h3Q6beNQ0K7O8SB2tDLShVUmyZ5riACOJA09XyqVrCjhvqRX7PF4pgw2ut2uCeMCgYD27dtn97B0zpv67Nmzprh2jh65MR1ucnXjYYszZ87o+PHjVrnfcccdpsrFiYfEyMFCDwznHeYLMTOA6q3VanaAgYY54OmbtdttE+dIMjrPuboOhWm1WlW73bZ51M997nN67nOfa+MPHJL79++33aXpdFqHDh1SKpUy84NUKmUWfiQEkhziE57PuWWHwoKeKoIijBAwoye5O/2MnUkIlEVfrtvtWq+PZNLtdrWxsaFut6tUKqXZ2VkVi0Xb90lRgGoY+0aMMySZoTyLDDjg+Uycnwf9Q4oURnxwKKKgoE8JLUk7gM+eEZ+/+Zu/MaofR61IJGKzwJLMBYvXNxwOdezYMXOy2tvbM3q2WCxasULiZc8vyG80GqlYLGpvb0/79u0zZJvJZGxZA6YYzFNj7DA7O6tqtWpIfDAYGEUP8gVJU8SwBYd1dxR0KN4RTEUiEesDS7I1iKPRSN/4xjfMBpECtdVqmfkKorpQKKSVlRWbM0bFzmKDAwcOKB6Pq9Fo6Pjx41M2iW48GC4t/DDF450WHo1GuuGGG2y4HcoRtMEoCzRoqVRSIpFQLBYzKpgKndnVZrOpkydP6lvf+pZ+7Md+zBxzLr74Yks8IFxEQ4hb6PtCP+I9SyVPooWmQxRCgkNMNDs7ay5OHPwc9ChlK5WKJGl5edlWpOHCBF3s8/m0srKiWq1mfTMoPkZYfD6fZmdnzYtWOpc0WO6NYhkqMpPJ2NYbDlvmgRFegRqZGWb2FTTDlheQWyqVsvV0zt+pVqsqFot6whOeoGq1ar1V0JUknT171pgB1L7Q8jADrGSjx8r4FOwCDkVYKWIrSWHC4gYEPk4DDihUWhAULojTeG/YJzpRIdcIVsDv9yufz2thYUGDwUCVSsVaEMxmIzqbm5uzWWQKR8ZluAedyxWgYGEUeE6U5yRprDonk4mN9+Dq5BRFgbjr9bq5S6FKxhLROfebzWZ1+vRps2vE3GRzc1MrKyt64IEHTKW9tLSk2dlZXXXVVSZou5DDpYXdeNQF1TGKVFAqlnr0GUGKCEVYo+Vcr5XNZg1F/MEf/IH+4R/+QV/60pesp4X9HwIMjBIqlYrNxcbjcRvml2RiGRIm4xQgMPqZJAG2t4BiQFuohxGQkBDn5+cNHXLgkSyghguFgmq1mtGe9CVHo5Gy2awVIdjwsdEFVCbJBD+gfed1o1dXLBanUCXXicSMAGsymejuu+82wwxJtjGl1Wqp1WrZKBPOUNCVIFr6ztDOyWRS0oOiNkkmluFzpm8MCzE7O6tYLGbXDoTn9Xpt4QBoljEZEiZ9StAo75vPAPaDHistCMw3oIehw7kn2+225ubmDF1i9BEIBMxhi74918jZu6YAoPdN0qdPymvkHmDky2kLScHn3O3L/zutFUulkrmKIYCDBudadjod/dzP/Zz+6q/+Sq1WS/fff79tLYL5SCQStkd3bm7OipfNzU0Tw7nxYLjJ1Y0feAyHQ1tsDorhkIQmpHcIqlhcXFS73db999+v48eP23gGylW2oWDocMUVV0g6h8zK5bK5HWGwwFA+iWg4HGpjY2Nq3jQWi1mSZewC9EsyJ0kjWOIf+pdOpEMS9Pv9U2IRkhWq4wMHDiiZTBoyREQCqi+VSlPG/6A6CoF4PG5JlKSEKpaZVF6Tx+NRo9FQPp+35MZ6OFB1vV43BfWRI0fM/1fSVNJ09gGDwaBWVlaM9mQWWZIVUVDkePH6fD4Vi0XFYjEzmecaY2LAzzqVxdC6FEPSg4YejLTQm6coAuWR4JzXv9fraXZ21q4lz4/xB+pfCh6eF62AcyUenxmJ8L777rMkzjVmnpvXTWA20el0zCSEXi5Uv3NMCIESzxUKhUwdTeGXyWRs2TnJkoUCaAlYIiFJV111lYLBoH74h3/Ykr8ks6j0er1aXl62+5NNSLfddtvUGJcbrv2hGw9DgBqc/Ud6lJVKxRIXJgioNz0ej/7Nv/k3kqQ///M/twMAJOP3+/Vrv/Zr1t8EFWHkD5XJIQu6IMnEYjHrVZGwOLh5fPqNiIoGg4E51rC2rN1u27+hbVFykhxSqZRV/Vjf0Y8D4ZLcoKrZjoOZAkKUcDhsghMo4JmZGTWbTaPLmWtlqwpLvZ3bgGASQD2IqUDj9Xpdc3Nzht65pnw+fI65XM7QGErpmZkZ1et16z8XCgXbA4tojd4x6BHklU6nbeZ4fn5eyWRS9XrdvIkRCEHlIixyWvJFIhEVCgWtrq5aMuR1OVEr+0+dCw94zSiUQZDMpKKq5nOSZGgfChaa9uKLL7Yl9vPz84Ys6WNSXLJcANV3o9EwIRWtCpC1UxvArmJmkE+fPq2VlZWpzUnQxZKs/SKdK1jm5ubMd/k3f/M3dckllxjqpkXArDACvEwmY+5jktTtdrW1taWtrS0dOHDgB3SKPPbCRa5u/EBjNBrpzJkzKpVK2t3dVT6f12Qy0eLioiTZF9RJB3JwOw/LUCikhYUFU/XS/5yfn9eBAwe0vLxsiI3eHbZ1JAvGZphlJKk6BVXMJU4mE1UqFZsd5ZDCNB0BSqPRsPlaXi89MxAv4yb0qaB0oe6gIgkQFgiwVqvZ+AhipEwmo0ajobvvvttGJej/cVBns1lDkslkUr1eT+PxWPl83mzzmA/Fscfpf7y0tGQKVEl2HTExgFZ+6LJzFnUHAgHbOgRtjJsVtCa9W5IR1yqZTGppaUm9Xs/cnHgNIDESJEl/OBxawoGOp2DBzIPCg/eZTqcNkaJMR4EOnctKN8ZlgsGg7bEFgXIvgQrpvzKnTMsgEAiYKI9xGj5/TDJI6GgD2u22/H6/XWeWVdAv5V7rdDrW1wfJPxT941DWbrdVKBRM7Lezs6OvfOUrdl/Ozs6aLzMFJkh4fX1dZ86c0ebmpiaTiaLRqFZWVvStb33LULwbrqDpYYvHq6DpgQce0K233mpD/XxxccTBsABqGNMFFJrMPrKRplqtamZmRi972ct08cUX673vfa8pjs+ePauFhQWrxqmyQXt4w7LXlPlJDihoL+dh5/V6tbW1ZXO23W5XP/3TP62PfexjWllZMWEISQ0KtFqtTolnOFwJZjvr9boWFhYsuZBEmaFFnCLJDn+nkhS6GMEPilkO0d3dXXk8HkOX+MwyY8uO2EqlYj1OPidJZmCAYw8CM+nBfaSgasZcisWi9XCdhY0kG7VxmlngFsRn3Wq1zMmp1Wqp0WhoYWHBbByd86QIyEKhkM1zUhDQl93b29P8/LwtHccYAYp1b29P5XJZt9xyi174whd+x6gL1CviMgox1rvxWT7UXcvr9Soej1uLYX5+3vrmXP/BYKD77rtPq6ur1p/m90n03DcwLbQuQKOMAiHaikajxghRUNJ/d84ZMzudTCbNEITPjV4vRYnTiARUjxUnjEy329XVV1+tiy+++Ad9rDxi4Qqa3HhURK/X087OjqFSxkioeDE/Z8wEP1ySZTqdNhs/Dh7nftQTJ05MjZi84x3v0N133y1Jts0DURIJgP4ZqJLnpt/KgVQsFvW1r33NRmbm5uY0Go2mKnOnYhjaFKoYT2BEI84tJoit6I+WSqUpH96trS2bK0WhKsnGLPDodRoFkMT6/b5isZgqlYoGg4GWl5ftUGaOmH4iK++CwaAuuugio3/p3TrRG2IdVNC8P95TPB5Xq9UyO0cQl6QpWpPPj4O+2+3aSMvMzIxyuZxRpuPxWNls1qwFOfwpQjj4l5aWlEqlbBQGZMxu1mAwaPtwnduHut2uBoOBCape/OIXm/iNOWmSPv9wP4GC6fHz+TrNOJwmKOl0espeEgaB7UL9fl+FQmGqj0oCJWkWCgW7lpPJxFzMJGlxcXFKMDU3N2dFJEI2rgV2k7AHa2trCoVCmpubs/vOeT+h8KYlQGHHkgTnqr577rnHlM+P93CR68MUj0fkeuLECX3jG9/Q4uKijT2wy9K5aYYeFFToxsaGVcs46EDJYfnndLQJhUJG3Umyg5aDAAERfTN6Y+12W7FYzFAnfVciGo1qZ2fHHH7G47EqlYrm5+c1MzOjSqVi/bl8Pq+5uTlbsA51WS6XFYvFzL+XZE1PtdVqKZPJaGFhwYQ4KGfr9bod5FtbW1pdXZ0STPG8zMvSr+NAlR4UjgUCAd1yyy268sorpxIiu2zpqSFuQd3K9YYCbjabRiNzYLOhSJIlrVQqZagdhTKHt/PQfuhIFmMqCJjodzvnTVOplCUA7iMQLSgewRLIH0YClXo2m1WtVlOz2TSzCHrS9Od9Pp+OHz+uG2+8US95yUtsJhcqGEETPVvuOxIexSDjRiienQmdHnk6nTbxVblcNoEb9obcp3ymFDskcL5LzDw7R5a4brwGCp1ms2k9b+5jJ5rlO8LnjhKavjFMAoUObM8ll1yiZz7zmQ/DCfPwh4tc3XjEo16v695775V0bi1Yq9XS9va29Sg5oKBsqcJBYyTbYDBoHrf0qEg+jBqA7tLptPna/smf/In+7u/+zgQ2JAhQE2iM/isqTqjJfr+v48ePKxAIKJFIGOUI2pTO0XRra2t26JH86W9CNUPL0YNDnBMIBLS0tGTPj4OOs5eIKpi+IYlJkplqQOeC9hqNxtQaPij5a665xpLk3t6etre3LVE6aflaraZGo2EGHCimmd/kuVmZRwJGlIRbFRQns6Z44fJ4zWbTepQYJ/CZjsdjnT59Wu122z4r/k0RAQqfTCbmjOQcbeF5aD2A2CKRiHk/Ly4u2jjT2tqaWTx2Oh1Vq1Vtbm7qox/9qDY2Nqxfz+Ny/8B+1Go11Wo1G/nyeDxmWYm5BMULfeh+v2/bdmBA5ufnTbjFaBH3C3Q2Zh68Fr/fb+sIT5w4oc3NTSsUMILw+/1mboFyXpLdO3yumHlUq1WVy2XV63VbjIFozklVZ7NZpVIphcNhxWIxnTp1ylUOy1ULu/EDCnaJguCc4zaZTMZ6VCSdhYUF62UxguA8rKFbJ5OJ0um0arWa9UjxaYVqZQ4V+zdM+Z0Jp1ar2Roy+rioOkEJJNFOp6P5+Xnt7u5akoBSy2azGgwGmp+f13A4NK9g6G68Z0HhiJgoEh5qwI6wCOqWa3bw4EFbDYZiFfFLoVCY6iEjzsFYYjgc2gwqsbKyYkmRgxBK02lIkMvlpmYnMTzY29ubQrYgPRC1JEOnFAigRJ/Pp1qtZsprEjSU6O7urm666Sb95E/+pCV8lLqZTEZnz57V/fffr2c84xnmwrR//37z12X8CVRLn5P2ASM97GilB71//377WVoEz3nOc3TppZfavTAzM6Pt7W1lMhmjfhFPOVEftGoikTDxHUp0zFIk2a5a+rAIo6DVg8Ggcrmc+QvzOXIfMTYkyQqD3/3d39XMzIw+9KEPKRQKaWdnR16v1/qquG3Nzc1pcXHRVMAUbdDtLA1gIxQFHtaUtGc8nnN7fmFWhsOhTp48qcsuu+wHesY82sNFrpL+43/8j1NjH9K5fuEv/dIvKZPJaHZ2Vq985Su1u7trf3/27FmTu7sxHa1Wy3xbUdxKsrVpICUOC1aRoUItlUpWLSM44YsP1TY7Ozs1nzccDrW7u6vh8JxR/mtf+1r9+I//uB3mUGUkUShcXJJisZgCgYBV/5FIRIlEwsQxUGjZbNYccgKBgF71qleZf6zff25fKpt0GFHAwg5qXJIZHdCDRdHZaDTMC5bRIK4DdCKIkuuH2IdiARSFQnlzc1M/+qM/qlOnTtkWIA5KDsN8Pm9JmNELvJer1aqhd8aqHmrYABWNxy2jTk6LRFD1eDzWRRddZOMr7XbbkNvMzIwOHTqkF73oRXY/lUolbW1tqVgs2p7fq666ysRjCJwk2bWCBkashHViKpUyFAyTwNgLVoBOpTPuVIyL5fN5o9pDoZAlQOdWIqhSrAf5HjAWRpHkFE5RHDUaDVOt33zzzdrZ2bG5alTp3AsIjiRZn9fj8eiP//iP9Yd/+IdGK7/pTW/Sz//8z2tvb0+JREJLS0taWVnR3NycJe1IJKJcLqft7W195CMfsWsQjUY1Nzdn1DNomPuM/49EIsrn8zp79qxZVT7eO46P++T6rW99Sx/84AfNhIB4y1veos9//vP61Kc+pb//+7/X9va2rr322kfoVT52YjKZ6MSJE6ZKTKfTdogw9rK3t2cuQSQYxEGoRD0ej7a3tw0VYNaA+pMRCap8VKNOkwgQwWg0sqXRTrMK9qMiRqpWq/ZcqDKd694wQHD64P71X/+1jh49akiC90PfkeSEapN+aa1Wm7JnBBFhVgCV7TRNQI1LERCPx221HH1UFiLQZ0Qp+6u/+qtaXV01H1+eF1N+9tqOx2OtrKwoHo9PLSCvVCrWU+P1lEolbW9vG4JhPtK5YQZVOH7C6XRavV5PxWJRxWLRKG3QNn1x1qVNJhOtrKzowIEDSqfThq5xXsIAg2RPb50Cjmu+u7trVCjuUBhRgNIQSpEgMdwYj8dKJBKKRqO2CxZEHQwGtb29bQWGdM4+EBQ5GAyUTqettw1q5Z7l+Si6+v2+crmcQqGQbZxBTZ1MJm20i0KLuVroYq4J1G+/39eb3vQmvf3tb7f7grYLrkuwJB6PR2fPntWXvvSlqe8S19PjObf9qFQq2Z8xziRJmUxGR48e1eLiok6dOqXNzc2H7+B5FMbjOrm2Wi297nWv04c+9CFDLNK5A+dP//RP9Qd/8Ad63vOep6uuukr/7b/9N91000265ZZbHsFX/OgPjBPoAzGeQi8RJEOi7PV6VtXjEYtDDYcuFCsJh0MCBTDLspkz5bCiH/tQP1fMBDgcmTt94IEHzK+WPhjo2LkVR3pwLIYeIVaKKG9ZWs2hxUA+BunOpeAc7KAa52GPGQQCKOf8I9Q5SUWSjb3EYjHFYjHVajVFIhH96I/+qKlPQdJsW0kkEt/hV4vDFLtaoW9JwLy2RCKheDxuTATiGa4zzlVYAjrHbVgLl0qlND8/b2pb7CbL5bIhKJ6Xgoykw/sDWVO4MMOJfy59THqvGITAgNAr5xoyJ7q4uGi2nCR77l8S/IEDB6aSKVQtLMBDRXk8FhafaA34HDqdjjqdjtbW1mx2mblU7gNEgLxWZqi5t+kPB4NBHT16VMlkUplMxlDnsWPHbKSG1kipVNKP/MiP6POf//zUyBOoGFeypaUlu8/ooS8vL5uYit74N7/5TWsRPB7jcZ1cf+mXfkkveclL9IIXvGDqz7Hycv75pZdeqtXVVd18880P98t8TMUDDzxgh2IsFtPOzo594UEOzuQCwsFgHvoXmhEBFIiJA5IZSQzcqao5xKDRWDeXTCZNkES1Dx0MelhdXTWKjL4USkjp3NwiylBeN+pcLAtRvCJaYgE2qBz0RUKkEAiHw9q/f7+ZYNAL3N7ettEbkHAoFDJnIawJcSxymj5A14H0QCIUKpIMHeMQVavVjGUgedODJSkjanJuYQH9I94i8XD9KHJQnzIexOfKXC/q1mAwaIUFLAXoHB9gWgAUOWxGQnUOvYrgDUMECi2WuXPNWq2Wob1qtWpqc/qjKKXxGc5mszZGQ28ZepnlEyw2Z9QIBoTCDcaFREaBsre3Z+5SrKRDee33+5XL5abEVKjuceXiswkGg1pdXdWBAwfssxuNRopGo2q1WlNWkZhrIDLM5/NWPDJzXiqVdPLkSRNjsb6vWq0qn8/btfZ6vbrzzjsf12M5j9vk+hd/8Re6/fbb9Xu/93vf8Xf5fF7BYNAqWWJ+fl75fF7SuWr18d5TeGgMh0PbvIENIApWDmFoOUkmwOELH4/H7XCt1+uWRPEUZs8qA/L4z6IolaRcLmfbb+gHQp9B+/F6UD9C/YI+Qbg8P2iKqrxUKhkCcI6ycLAz1uFcXweqAcmR3Dnsq9WqGVr4/f4pO71qtWoKVKz+YAOgB0ej0dTBLskOV4zfV1ZW7HB2GhXUajUbz8DpiOLGSTszksF1LJfLxkBASw6HQ7Ptw9bwochHkj1/JpOxeUnU0Ah0mFdllnlmZsaYAK4ptLZ0Trn61a9+1QwvoKfH47FR2QjVBoOB7r//fisinIXT5uam7r33XkNnk8nELDeds73b29u2UYb2BBoD+vP4VNNbBjVTFIEy6VPyWXq9XqVSKROJYWLCrDA99U6no3q9rn6/b8iXkTJ+hsJufX3devloHxhD4vuAACwcDiuZTGp3d1flcnnK1xgRHteUzyocDluBGQgEdPnll2t7e/thOn0effG4TK4bGxv61//6X+vjH/+4fZHPd3Q6HeXzeW1vb2tzc9NELhdy7OzsaHNzU71eT+vr61Ozptvb29bj6vV6hrr6/b42NjbsMEfiH4/Hrc/o9/vNXUmSIV1QQCAQsD4inriSbNaRZMaMrSRDtngSg3xQppJwms2mUqnU1H7MeDxu/URGfOg3osbkAGUOF/HHeDw2UQpzoghrGCVBrcq12NrasoMtGAzawc04UqVS0Ve/+lXl83krPHDa4XqRJKAK+WycYzAkREZCoGMR31BEIPDCYYrn4TXzOfIcGBSAOp3zlDgdSQ+acjh9e50jNzMzM9rY2LD3FAgE9PGPf9yKpMFgoOc///km2GIzEaMmJAOWuPt8Pn3qU58ycZokVSoVvfWtb9Xv/M7vTBkq9Pt9679ynzGCgnCIwo0CjOuH6Aq61OlxTL+U1gcUO2wHj1kul42qp3jku8FjOYVjzKFms1l7b0tLS+aZTezt7VlRK8kYJeeawng8bu0D+uaMKzmNTWjb7O3t6T//5/+sP/uzP9Odd95p38cLKba2trS5uant7W3l8/mphfLE4zK53nbbbSoUCnrKU55idNff//3f6/3vf7/8fr/m5+dtXMMZu7u7WlhY+K6e41d/9Ve1uLio5eVlrays6OjRoz+Ad/LoiX6/rzNnzphikgOFShp0ARUbi8U0OzurRCKhXC6nmZkZlUolE2WQeKAtu93ulAjIuQ6OBd+gAvq3kUjE2Ie9vT0dOnRIMzMzNsYCHVyv11Wv161/OJlMdPPNN2ttbc2S597enhYWFky5zKGHWMlpUMG4D8kf9MjBSy+UvaesbwP5YjYAkrn66qstQVCgkFDwmH3Ws56lbDZrS7SLxaLRn6g8ESVRBF1//fU2JgIVTE8UU/t6vW6UPeiFoodenyR7vcxb8l5QDm9vbxuVzsEMGuNnKCxAgSQIUCi9cNDVzMyMfuEXfsHQKJ8BvXjpXBLe3t429S+zzt1uVzfddJM+8YlPGEJFXOUMZp4pEviMYU4QvaFK5znn5+ftwA2Hw9ra2rLXRCsCRI4rmHTOdIQeP65MvA7oW4rGaDRqlHAoFFK5XFaxWNT29rYVEnyu5XLZnh8kiz2jx+PR+vq63bOwRmgMksmkff8kmelJNpu1e1CSodhAIKBf+qVf0k/91E8Zmr/Q4ujRo1pZWdHy8rIWFxf11re+9Tt+5nHp0NRsNrW2tjb1Zz/7sz+rSy+9VP/23/5braysKJfL6ROf+IRe+cpXSpKOHz+uSy+9VDfffLOe/vSn/6PPwbovSdZrOnr06AXr0NRsNnXHHXdYBZvJZHTmzBlTRyIu6na7ymazkh5cgI1s/7777tOhQ4fsAGWX6c7Ojq0sIwlhWv5Q/1dmP9nyAkXFnC00IYkCBA0Vx0wmCInF3oiVQF/Qaahj6WOiCHXuKKU3Re8OI/a3vOUtes5znmNjJzw+h1W1WlUul9NwOLTkCkKnmAgGg2YfyEytpKmDHkN7DknQIe5BIFgOdUadcNLi80R5jTCLnrT04LIBULDTzxbmgFnVRqMxJbaijxmNRu1xWXoOTYzBh9MvF5EYiY97wIn8H3jgAZ0+fVovfvGLrT3AdeH+wh3JaZOJkIprL8lcupzJluKF3jAJ2Pn6NjY2dPLkSe3fv1+rq6s2p+10jkJVjWiKUR4SVqvVUi6Xs88Xf2SsEDFioS+LDgHREZ7RzoKF91AsFlUul+190scFeFDkoicAVReLRSsqzp49q7//+7/X8573PEPsbDNaWlq6YBybcGi67777rKCTZCObznhcmkjEYjFdfvnlU38WjUaVyWTsz9/4xjfqV3/1V5VOpxWPx/Urv/IresYznvFdJVZJth+ScNKaF2KcPXvWdk4yppFOp60vSnLgS8sX2DlGsW/fPuvrjcdjJZNJFQoFOzQ4QBGg0FOTHhw/ePvb364//MM/tMOcA4xDmNVkCF0wHOj1eqZg7Xa7WllZkSTrWWHQzk7WM2fOmAKV5C3J9oHi7cv7LpVKRrFWq1WFQiH9zu/8jiV7+q6spEun08pms1OoDuRHb5J+K6M0gcC5ZeS1Ws1UrU5fWJSfHJoYb0ATo1Q+efKkrrrqKjNb6PV6uvvuu223q9P8nnlbiieo2FqtZrtemd/ktWOlxxiNU3jG70sy4dIDDzxgvfRSqWTvleRBgYaQhnuBsabnPOc5lvRIiCBSxGB8TqPRyPrmsAjtdtt8o9lQ5HTdImn1ej0VCgWtrKzYGkCPx6ObbrpJz3zmM20XcafTUSaTsUKUAgLFNX18SfYeQbowNk7DEP6dSqVMQ4BxinNfMpQ0bBKjSpLMsxlUC3vSbrfNcYziVZLdR3z+Ho9HT37yk22MLJFIWJF09uxZXX755d+hYXksB+ro/1c8Lmnh7yb+8A//UC996Uv1yle+Us9+9rO1sLCgz3zmM4/0y3pUxnA41J133qnNzU0dO3ZMH/vYx0ytCMqiIh8MBqpUKpb86C+B7EggjGN4vV49+clP1urqquLxuC0mJ3GysQXU8P/9f/+fIUPGKWq1miVjfGgRJTl7jiAYnJ947VTrjItA1TlnFtnMAhW7sLCgTCYjSYae77jjDnk8HrMsJPnRy6ISBrmCOmq12pRql4OSa5BMJq2oYaUfSAU1LskMJOLz+bS8vGy9TA7pXq+nw4cPW1+Q1wIqpa9H0QRi47qura2pXq8bfYyABrcnjAlAkVD3s7OzWl9fN5GSE7UePHhQs7Oz+vjHP66bb77Z6FGEVlx/+tbpdNoQ9+rqqqF73KWgr0mqjL+wjYc+OUwLRRH0JswICI6e+d/8zd/o2LFjZsVJgfjKV75yymaRewuFMq8J9gTkJ8nYCu5lCkwn+0KC5LuIkA+0mUgkpu5/EjAMAwI0pzNasVg0kRyzrhQeIHN0AIwxsfwhHo/byBlFAk5aj6d4XNLCj0RcyMb9J06c0Gc+8xnde++9euUrXzm1VSWfz9usHhWuc9MIIzKYMiC26Ha7lkyZ7SMJIzThZ0FHGBVAKfL4CI1AIxw0/DkHdCAQUCaTMYTAsm9Qi9MqD6THui5QCfQxlb3zoD5+/Lj2799viN05rkIyowfr7DOCZiKRiHZ3d21EBVQC3cvhSA8RmluSLTugb+1EPDwXFDmJGTtIJ9pNJBImSmONGkYXpVJJN9xwg172spdJkl0r2AXGgPAvXllZsSIKIdbs7KzRpoxlsYGGzx3DC+hirm8sFtPu7q79XT6fNw/ebrdrVLezZcAoDq8T8U+xWDTqlvsQa0s+Y/bOkuhgE0iMODNls1m75xkhozAEJYOA+TOnIxKCuWKxqFarpf3790+xNyxO4HOIRqMql8s2u8+9Ds1M75nCxonGJVkhTI8WdM9qPR7T7/ebcAu2AaYFOjgQCFhb5wUveMFj3tXONe5342EL7OUuvfRSvfSlLzWalMOK4X5nTwwKD2RLD8h5YHIo0hcjuTjVxvl83gRJGNBzkHU6HVM1Oit1Egvo1+mj6rQNRAGIcrVarRo9iDJYkh1MKIs5NBHtYE4/GAx0+PBhMwSgV+V0p2KsKJlMWn/v3nvvNXEd86qsOQMdSDKnHWhbSSZoIaGx+IADklEe5kqj0agdmLhcoU69//777XFJtiQ9PtN4PK6f+ImfsFlRSaYU5bUwhpVIJOz6BYNBLSwsWH+ZnibIXjpHW8ZiMbuP+CwpFlhd5zR3YLmAM5FGo1HNz89L0pSDGC0LiiGfz6eVlRWbj0VNi/MTvzsYDFQoFGzBA85ePD5CPcayQKfValW7u7vm6ct9AYKlHQGtj2gpkUhYknWu9eM9gKpTqdTUUgQSf6fT0Wte8xq97nWvMxqYe4rduXy+0WjUVibyvQGLtVot+060Wi1DwWtra9YGohCm5fF4Q69ucnXjnxSVSkWlUsloLobvQYjMwzHiAqolaSLcOHv2rNGITs9Z+oH0yEBq/AMFTK8NihDBU6VSMbEBNCY9WCpyxEAIlYbDoRmmk8gXFxftdT20J8jw/ezsrI2XUBAgzuL9e71eO5A2NzftMJRkNnn5fF6FQkHj8VhXXHGFHdoYDEjS3NycLUVgiJ8eLAYYmBNQuJRKJUOc2NkxU7y2tmYJPZlM6q677rJ9so1Gw2Zki8WiFRYUCLAKzpEUerwc3ugPEMXQA4eehc7M5XImZnvLW95ilCQFC2by9A8Zo0okEjZmwn3inPOtVCrmPV0oFMzSkeJDkt2T5XJZzWbTxF7stG232zazCvOCu1ez2VS9XlcmkzGGhp5mLpczcwcKnUwmY31OnKdSqZQVhDhmIYqECobGlWTsEL1tnLlYpegUvTkZFwKjC4rMzc3NqS08qKrpC8NycP8Ph0PNzc3pG9/4hlHcWEMGAgE98MADNsOcSCSmvNkfD+EmVzf+SQFNAk3EiEa1WlWtVrOEA9qQZG42zvnUXC5nPsLhcNjUk5VKxdAg/U9UjhzYUHdQvyQVDmJmMuPxuL1OZ8/MKcihJymdU+viykPS4jCF+guFQkbhoWRmHGU0GtljYx8Iqg4Gg0qlUma6gCgH+pMEAh0Hlefz+VStVs1EAZESJgigXtyJxuNzixCcPWhQDo5XiURCCwsLJmYJBoN6+tOfbkXIRz/6UX31q1+1JBAOh3Xy5ElD4E7hE/aXzh4sSJK9tswYM4rDZ02CAr2/5CUvMXESG2B43RRO73rXu2y2GpcqDnfGSjC8xwCDew4mhMKQPbaDwUCLi4sqFovK5XI6cuSI9XhBt8zrck0k2eOAXhkJY24UVEqx4Pf79fKXv1w//uM/bn7bxWLRGBD+oSCj58pnCUM0GAyMYSCxwxwwAsZ9lkwm9f73v1//9b/+VxOz8V3Zt2+f9chZcSfJer5cH75DvOfnPe95luRR2x8/flyhUEh33nmnqtWqgsGg2aI+XsLtuT5McaH2XO+66y6jfBBSgFyj0ehUFe+04CPRgQAY5aA3RtWPHRtVO9eRPijIgyoe6pk+HGh5OBzqT//0T/WqV73KEiDer1jyOfdnFgoFO2Cq1aqy2ax8Pp/1sUBrJPtAIGAI++1vf7v+w3/4D7aGjNcJknNupsGgoV6vKxqNqlQq2e+B1FgQ7ux3MTtMoYAAiBGh3d1dLS0tWR+VIoD37vP5jEbl7532gBQw4/FY1157rZ7whCfo7W9/ux34jH9wHXAEoqeO4QGvK5vNGoJstVpKp9NmHOLxeGznbKVSMQof5SmPQ2QyGTN3KBaLVqygsl1aWpIkS2bD4VC/8Ru/oY2NDf3P//k/p2auncwHCmOKIIpFqFw+D4o1xlmi0ejUqJDznoCNoTDkc41Go2q32yqVSoZGeQ2SrKXCfDHPzXVwLiag98o/1Wp1amyJ3yP5sd8VBI5y2amDgJ1AKwHlfOzYMdtBTGHKd4TPhXuEz5Z+dDKZ1FVXXWX+3I/FcHuubjwsAdW2s7Njs7zD4VA7OzuGGoLBcwudQQtOsUez2TQLOJTEKGE5jKmsqZoRcpCknJtoEJDcfvvttrqLsYTRaKRLL73UUA3043A4NARJIkAdvLy8bPQpFB49KQ5dTAmc9OUv//Iv24GCKfrp06cNTSBuQbwEIiZJOGnHl73sZXrd615nY0RQdvTQ7rvvPlNkTiYTQ2ipVMoOX6h5Cgr6xlDhjL/AJrCUAAT6sY99TO94xztUKpV022232QywJEM6nU7H0BSozqk4rlarJqKJRCK2VhBUyhJvj8dj9CgOUPfdd5+CwaCxIrwu+rClUkmvf/3rbWZVkpmEOD+Tt771rZa8UAgTvC5ERxROzqUIvE9nQQPKIxlRSHLfoBxmm5ITWft8Pi0tLVnBRnHEKBWJCmU13wtU7c71dnynarWatRE6nY6KxaJ+9Ed/1MRrzWZTN9xwgxWZGEhwXXj9UOHQ2Yxzzc/PW9EhyahupzkLloyIv+r1us6ePasTJ07o1KlTP4CT6NEZbnJ14/uOfD5vKlSov9nZWSWTSUOmiGCcdCCVNIuf6b1x4GC6LskOR0YWcBCCCuVgQWEbDAZ12WWX2bgAPTC/369nPvOZCgQClkyr1apV2Hgac6iB7Lxer61qo+85mUym/HBzuZxarZZ2dnY0HA7t5xHRMJOIgheKmcIB9M08I4hjNBqZIxgqaGjSer2u2dlZ5fN567HNzMxoYWHBaGsKD0Y26Kv99V//taEXRomg+aClJdk+13g8rkQiof379+sZz3iG5ufnDYWzaIAkTl8O5sDr9VpPejAYmIf0/Py8uWHRE+Tz9fv9Nj4VDAa1f/9+e01QrePx2JTBiHoQlznHdFDcZrNZPelJTzJKFzqdBIDyGtEaRYMkezyngpY+Ld7RJBkej+vttNwMhUJ27zHqQi+X8SW/369sNmtCQHQLTrRLcVWtVvXe977XUDxFKDqDaDSqVCqlt7zlLVbcZrNZPf3pT9cHP/hBuxbcm3wH+W5CBXPPwSLxnXb2i5lpTSQSZhfKBp1+v6+FhQUrTB8v4dLCD1NcaLRwt9vVzTffbEbxOBOhEKT/I8lERIysoNoE7TmN36HTGM0gMfDlL5fLWllZMaoUJACi4EBg+bck6+ey3gtlKNW609aPQfxgMKh7771X+/btM+qNsQ9JOnXqlI4ePWoL1/kZKEL2wlYqFaPG4vG4JQ3EMqB21M4+n8+Uuk6fYv6B4i6VSpqbm7MRHFymSPjValWRSMRoW0nmYZvP5y1RJ5NJ6xGSiFGPkkwQzEABOg1RarWa4vH41OHMawKhg2z4fcY3mEGmEKOfByU6GAxshjYYDKparWplZcVQbi6XM4QlyZYIlMtlxeNxE7wxO0pB4RyB4h7hXnPaW3I0Oq0th8OhvvzlL+tlL3vZlPsYyQcEy8yyz+fT9va2wuHwVM/f4/EYJUzypCdOkVWr1eT3+7W7u6toNKoHHnhAz3jGM+y+QKk8OztrbQs0AhRAOF7xHp3vT5J9F2GBaOVwT1C88FpAxTAd6Ano8aOgpgWRTCa1tramxcVFDQYDHTlyRFdeeaU9/2MtXFrYjR94sEhbOodW5+bmTJkJAuAQgZKk5/TQuTnoLOlcdX/69GlT7YLqMpmMPB6PVldXNZlMTLXKPwyzMzfJwUfl3G63rQ/FDkp6rahtSSrSOVR+6NAh+Xw+O6BYSTc7O6trrrlmSjiFqMrn8+knf/In9aY3vcmG7NPptNGViEhA307fZa6rc9aRudN+v69isaj19XVb6s4B5zQnwPUIJLywsKB2u63RaGS0PZtdnIpuBGOSzIsWpx5J1nekmHEqhpPJpIlwEGU5GQbpnGcuilKWfuPny2dDHxMESL8aqhafYJYnVCoVQ8rcK5FIRAsLC1PqZO5HCgiKOq4dgiO21hD0T0ulkiXomZkZff3rX5+63iQshHrciySQXC6nVCpltP3u7q7y+bz9vcfjsfuV5/d6vfadWlhYUDwe18UXX2ybcBgfu+iii+y7wTac2dlZbW1tWcHJRh/aLtyzUOywCXzXmFVF1T8cntsYRd+Y+5VxG4qWWCxm2ohsNqtsNqtarTb13Ht7ezp9+vT5PIoeteEmVze+r2B+kxEXKDwOSdxtcHVpNBqGTukX8QWH8uVARbzj8XiMmmTsAfR10UUXKZlMmkm8E+mR1DgwQJ14rrLvkh4qYxxOFSv2lYhAnGpcknU0GrX5Unpa/X5fr3rVq/Ta177Wqn8OMLx16enyuH6/32Y8SXxQ0lyHSCSiVCplm1ikB9Wp6+vrqtVqVlyAekAQGLwvLCwYuoJCpB/NfCkHfqlUMqrT6fREP5XfJ8kjBGq1WlMjSH6/X/l83lgCxGjOHaLcN7QIcM/i+s3PzxvjQOKisOH1simGBM77R5iFchxmpF6vq1qtanNz0+5RZlmZtwb5OTcWeb1evfvd7zb0i1aAWWdJJuqSNOVXTc+ZfjzzvCSsarVq+4+Zjc7n8/a+cJjid1jvJsnuLxJnJpMxxI1qnAJpPB4bRXv69OkpuhvVNujZ2abg/gaxQpUjTsPGEkV2t9s1C9ThcKjbb79dn/vc5/S1r31tqqC8UMNNrm58zzEcDk3UsrW1ZaKcUqmkyWRiPScQA6iCg51+pN/vN1qLFXOtVstUqihZMW2AfnaaCDjXxkGN0qPl0MNFh9/NZrNTSmLWk5Hcut2uOTXR62QEBmtBSYbUODyh5F71qlfpBS94gdGc8Xh8aqsJvUbmOT0ejyWDwWCgzc1NSxzj8Vhnz57Vb/7mb04lF8ZREDXde++9dqizHAEqFQEWnxPCII/HY0UESlUO7iNHjhjlSmFDUgWdgSZx2GLmF8qT50gkElPWjk6amv5eNBo1hfnCwoLRyzhl0VOXziWszc1NnTp1SqlUyuhy5/0FckYF3Wg09PnPf97GgXid9EC5VxCa8f6Y0T116pR9ntls1tTXIFfaABRZ9MW590G3tEqYfSZJ+/1+JZNJbWxsmInH+vq6sSdORbBTRMW4FkUprmPQsv1+30ac+F6RgD0ej572tKfZ2BeKbb5rd999t5mAIHbLZDL23eWeoIBgThtx0/b2tn3nSO4HDx607VIXerjJ1Y3vOZrNpqrVqtFCs7Oz1ktjTRvqTr6AiDXoyTqdm4LBoFXerVbLxlOi0aihAXZhgqSgdunR8figZElmRIG9HuILEB7Py59haA4ChgZjdR5ewYyZoLqFcnV6JDcaDdvNiVoSREXSQGxDEuOgdV4T0N2/+3f/zsQvhULBVuTFYjE99alP1Qtf+EJDICQvDlqEO/Q8sTfEwQeUhUCJ/icFAwf7aDTS7u6u0dV4REP/Q1+D0Ol700dmRIfPdHt729yKYBhIGtCsHNz79u0z1Dkejw3Fo5ZdWlrS3NyczfAySoNz1F/8xV/oqquu0mAwULFYtE1FTioVZSyJmWTb6XR0/Phxffvb3zZrTSwFsV1EkMT7l2QLHUiqsCOsWoSW53P2+/1Tina2HGHCEIvFrBCRZGNNFJu8ZlgbaG0+o2q1an15Hoeikp9PpVKmDF5ZWbGEzZwsND+MBKwGlHe9XjfnsLm5OYVCIev/P+MZz1AymdT8/LwxGRdyuMnVje85Op2O5ubmFIvFzC2GA/jXfu3XzK4NChi012g0VC6Xtbu7q/X1dUOXJFMM/kF02OVB6XJY+Hw+8yKG0qSXiwsTiZUD/8iRI4aonCvWOJA4FOklSuf6hCRtEJ0z4TiFLiQmKEVGZkAnF110kb0H+tAc3CQ0ep/st4XC5vpBxSaTyan1YKz2wjCBXiSHKuKl3/iN3zABTbPZNOtCGACnP3M0GlU+n7dxKZSirDiTzjlKsScUBMcIDWvl6PEx71ksFg1hLy0tWUHC/cNng2XljTfeaLQ+wht60qBSEjSvnx21IPVer6dUKmVuRSBjVNvQ1NxrLCEfjUb6H//jf2h9fV0ve9nL9PSnP916tcFgUOl02tS19XrdxFkUisxeUyRIMtQcCoV0+PBhK0yd4irMHlALU5DwOrlGuHKVy2VDy7Ozszp9+rR997gXYTv29vbM2rPT6ahcLtsoGCpm3KswkcA688SJE3Y9Ea3xXWN/cCqVUqFQsO1Q1WrVWgFYkxaLRe3s7Dxcx9UjFq5a+GGKC0kt/K1vfUt33XWX5ubmTMHLoulKpTK1pQWql7lK0BL9vk9+8pP6mZ/5GUOVt956q6688ko7lOnzIbAgCdE3QkiBLyuVuiTra0Lb0uMiic3Pz2tra8vEGiRYhFagAEmWHJzuUru7u0Y7S7IDL51OG8KuVCrm1uT1nltODdXG4cnrYqQFGpt5SVyEOAB5bF4X18Q5ngS9zQGJ/y8ohz42alcoaARC/X5fm5ubOnDggNGhJI1ms6mFhQX7c2ZNM5mMfbabm5s2joHBANQ8j5XJZMyXlsMfgRlJ88Ybb9TVV19tqwCh8UlevG72xPI5gEzxBcaliqKExItgi4KQggQWgBElp/E987ySjNKHoRmNRvZYFAHYclIogayhoLFPZOUhCl4KM4orxEXcO4xDQZ3DdkDF33jjjYpGo1pdXTVxEqvy2MQE5Y9LFiwGwjMoaJ6Tf1NUhsNh3XXXXbZvmcKROeRKpWIbkdbX1+0ezGazetGLXvSYM/J31cJu/MCCQ48vEmIQUA00UrlcNuk+8n2G/Kn4Z2dn9WM/9mOGMhuNhp7xjGeYupHDjH4gbkrQm/TYtra2TCxF74lDFFqNgwjXm+FwqNOnTxu1jbDHOdLjXDsGWibBM05CEmu1WvJ4PFpeXp6irNPptAl6EMiAfKENQakkH14vKtVarWbjDgi2eH+MpITDYWWzWV133XXa2NjQcDi05ELRkclkjDqnr4w6lMTCNQuHw1pZWTHvYGjLSCRiI0CSTJ0NPQ6acm5gAVVxILPrlK0zzE2C7BEcTSYTPfvZz7bP3VkYPRSZ8ZgkGK6vz+dTuVw2tS+vNZlMGspmoQH3GWroZDJpr4n7gHsbAwmEZlw3rgv3OYYcJFOKwFarpe3tbRvdgk2gGOSacIBzz0JZUxzxuE43JtocS0tL2rdvnzmeURSCJDFYYXkCimWf75xHMfcn1D73DgmdAuTSSy+1lXoUS16vVxsbG9aygU5eWFiwYuxC77u6ydWN7ynoP4HyQEHMOLLZ5dixY1bFgmD5QlFdI15BCMNcpiRbJA3CdVK3znVnCCtQqYL0JJm/K2MYHDr0u6BjERORaEE6jF4gwkGUQXIPBoP2c/ScObCgzEiwkgwZICDa3t42N5zJZKI3vOENKhQK30HVjUbnDNbZuwkljcK1VqsZ3f2Rj3xEhw4dMnTEujQQAkn6oeYLgUBAy8vLdkg7qUxWvJGsQY8Yg5BkULCCXKBQnf1JvIwZx/J4PDYjiSc1QiMETxRS+E5T+IDuqtWq9UdJCNKD9oewIIjkGo2GFUwgf7x/EUNJsj49dp2SbPUcFoEsrnDuRZXObQMqFAq2+YbigKTEtXS6izEag2oZhbrTRhFBEoUDQihEgrxPTE94fSBViiGuC8wP9yzPxWtjpIn+cLvdNuaI7zYbcpxorlKpmF/1aDTS9va2FRyDwUD79u2basFciPF9Jdff+73f05/92Z99x5//2Z/9md797nf/k1+UG4/e2NraskMXs3z6kFS96XRa11xzzZThOGIJLNJARCSmcDisWCxmozUgBulBL13GIhhnAAWQNOmhQTv6fD7t7OxM9Tcnk4nK5bIpkanKMTQAleCXSrUP+qRHCXKHxnT2n9PptCEIKGAOIvx36SPPzJxbls4C9vX1daORWbi9vLxsO1tZr4eJgNPfdjgcKp1OG+oBTUMvMj7lXCSwublpiA2hFAcoiJb+HIYOMzMztsfV2T9mThJDfq6XJBtXgp7nOuzu7loiYGSpVqtZkcQ4FCwCDlK8ZpAeIx+VSkW5XE6SLOHyWTCTSe/VOe8syWavnaNS9KYp7Ph/vHhJUsz2omzHSpORGAoQ5/dgbm7OaF6UutynfAYez7ndqPQzKQRgP1hgQHGFMrxWq2nfvn1aXl629w01TJ+ewhMXMTQGMATct07vaq45c9K0f7gPofedo0D87vr6uh544AGz8nTaaF6I8X0l1w9+8IO69NJLv+PPn/CEJ+iP//iP/8kvyo1Hb+zt7dmeR3qozGLi5kNFjcgI4QyLtiWZKIaBeBAH/cXJ5Jz5/N7enra2tqxXKz3YZwQB8EXn8GLGrtls2gEWCAQMwaEoJkGBRvlv+pL0NqHDGFWBFoM+Y7UXqIA+KomffnStVtPi4qKpUxnLGI1G2rdvnz7/+c/rRS96kQKBgBYWFuyAR2xD7xgUIsl8drmWoG3oawwLGBtpNptWBDhXnEkyl62HyjDuuOMOffrTn9ZgMDDkQZIHmUgysREF1fz8vHK5nKE8ihlGthiLIbnSO8TrFqEMJh7cKxzaMzMzNuJDu2JmZkbVatXckBDnkAgRhknnikPGslB3O4012ICEaxGo3YnmML4AbTLPykYl7B+hWWdmZqZMPtbX19VsNrW+vq4//uM/1mte8xqVSiVTjIMSW62WisWi8vm8rr/+esXjceuB8tooPLrdrra3t82WFB0CblX01WkJwDgEg0Ftbm4amkWVH4lErG1Ca6NSqVg/GvHVYDAwRTM+37Ozs5qfn9fs7KxCoZDNxDcaDa2vr5/Po+lRF/5//Ee+M/L5vBYXF7/jz3O53ONCBfZ4jb29Pe3s7NgXjLEIelLQohizX3rppUbxkUhSqZT1eBAljcdjQ1zOxAPiPXTokDY2Ngwp4QSFCAmBhZOydQpRUAVDfeVyOetvYYJerVbN+CAcDmt3d9eQeKvVMuEL7xnTd8z/QXc8d7FYNJpZOoe+Dx48aBtLQDLb29v667/+a73mNa8xlIA3LCMN9IDp3YEqeH0kt6WlpSkzD0QvuVzO1LYM+DsTRzQatWTppPb37dtnQqojR45MWfI5Fyhg38g+V9AMQRsAE4f9+/fbwQ1VSRGxuLioubk5E2iB7rFE5OdJKHy+9Fyx3KNVIWmqP51MJg2dstQbKrdQKKjX6ymdTlsrAkQ/Pz9vhRz3BK+Dx2aul6XmJDUn6sUkRJIeeOABK858Pp++8Y1vSJJ9Pk70DxuRTCb1nOc8R4VCYcotKZPJGGLGYJ+RKelBa0heP4UKRSTXk2vPvc7vYV8IinUK6bi/0DPw3Q2FQoZSmQMGnSOeAwlfiPF9IdeVlRXdeOON3/HnN954o617cuPCi1KppFarZVW+z+dTNpu1LybVL8Pz7HRlQ06hUDAVJwdwNpud6otCG4JEmJ+jlwPyxdAAwcjGxoahRgQ7VOjQ184+Fc5POEORZNLptI2RSOcOOmYBOVwYiwCdQlOSAEOhkBYWFsy5huuD6tPp3QtVRx84k8lY/49ZRBI5752kQ2KRZLQpiYxrg/Uc14xiApMD2ALMEjC9WFlZUSQSUTwe1zXXXKMnP/nJhiyd70fSFO0ZiURsZhSklkqlppiJwWCgtbU1Q6v0qfGdjsViRiFzrRDxOI3xKXQk2X3jdEqCJqePjpoaapWiwtmmeMMb3qCNjQ2j9NvttlZXV21DT6PRMPYAhTstBqeTkdPYAnelYDCoQqFg25rm5ua0vLxsBdlnPvMZvf/977d+Mz1txpZyuZy1SqLRqLEsCLkk2fPfdNNNltB5zwTX1DmKxTWkHUPRQcEK84E5yOrqqqFvFhcwfuZcbuA05kDgyNKGC93I//tCrr/wC7+gf/Nv/o329vb0vOc9T5L0v//3/9av//qv661vfet5fYFuPHpid3fXDgmoSqdRfygUMiEMFKskS0arq6uWbKDysHnb3t62/hmJG0ELPcWHjos4FwPs37/f5lxRciJYgSYGSVBRgwRBh1T9qVRKnU5Hi4uL9txsXIHqxRxdko2OoJZ20sJcA9Sa9ITT6bT5x775zW82FAJKBomjRi0Wi9bbymQyprLF4YjPI5lMqlarqVKpWLGCIIjPYv/+/YaootGoXf/l5WUVi0WlUikTUPG6KGbi8bglGpBVJpOZKo74jGEauGaBQEDlclnFYlFnz541pgC7SoRliKNA0clkcmr0hl4wybVQKBgqx7bw2LFjOnLkiO3J5bOu1Wr2nGxegvJPp9P6wAc+oLm5OY1G5zYSUTxRfNDbR0zV7Xbt52ExEMDBBPD4vL5IJKJ6vW5qbedu2JWVFeulS7LCs9VqqdVqWQEL8pRkyHs8HuvrX/+6fviHf1j79++f6olDAztHjDBNQeHL62LpBgVavV63ts/8/LzRxHt7e7Ycge9YNpu1IhdlNhoDvq+1Ws2YInrEF2J8X8j1bW97m974xjfqX/7Lf6mDBw/q4MGD+pVf+RX9q3/1r/T2t7/9fL9GNx4FQb+KQwTBCSiK/4cOCwQCNgyfyWRsLIEvHuIVkgeHG2IUDhcQLImRAwWU0m63bfUYhwSUWigU0vr6uqmaUQg7URcOTNjU0d8j0fEPiFh6cP2bJDs0WMv2p3/6p1pfX5ff77cVdM4Ddm9vz8QwHMSzs7NmEwntye/1+33V63Wl02ltbm5qa2vLEA2+zCQ0+o/0MdPptCFJCg1GYEDOFEbZbNaoPadobDgcTqlPfT6f8vm8JW3p3E7Xcrls/Xi8kAeDgWq1mhVELEe46KKL9LznPW9Krcpn8tDxoW63q7Nnz1pvGNFMv9/XmTNnVCgUrG/qvBaLi4uGljC64Jr9zd/8jf75P//nprTFCxsrSGhSBDd8VhQWzA+D8pnppKCChsYBieUUUNXc06PRaMqmECTMYzv9m6Hi0Q3AGCWTSX31q1/V85//fHm9Xh04cEAej0eXXHKJWTiORue8ivnustgdypneMd9z7vNgMKi5uTlls1n7bHjdJGzua/QWfL+dFDkMDt8tFmqEQiHdc889P/Cz65GKf5KJRKvV0v33369wOKyLL77YPiA3vjMe6yYSe3t7uu2227S5uWlfdrZhIC5BlUovDvTIl9Hj8dhYCv1JBDH8GwMA0CRJjRlWDkQSHgfQ3t6eJWx6rKPRSK94xSv0lre8Rc961rNMjOPz+Wwcw2m8z+ugpwwtDdqdm5tTpVIxiph+IKMpHo9Hp0+fNqUkYiZJ1pNcW1uzMYR2u61MJmOU+kPtCPl9aDt6xhhr0NvC25dZ3kKhoJWVFZtl/Ku/+iu9/vWvl8fjsc0vFCD0demVUhiBNqB7OfhxPgqHw2q324Zi+Ey5N6DQQXCM/tCfde54RTHOvcWWn3Q6bbPH/X7fjChAQOVyWV/4whf0yle+0qhMFOiIaRDckZRY5v3AAw/oiiuusOUOTlqfIgCGBlMU51gRlDa2l9DafE7cE9KDC8XpVzMrCjr0+/12TXFQmp+fN+cy1jry2fCd4DuQz+f1zne+U+9973utuKEwY06aAiQej6tcLiuTyahUKlly5P5ptVpaXFw06r3ValkhyffSWVjSK+feY2SNZIoFJQYqgUBAJ0+etPtzdXVVV1999WPGTOJhM5HI5/OqVCo6dOiQUQhuXJjBuA2JBu9ZaMO9vT1ls1lDRJJMxQoFRb+NQ5lD2zn6QNULEoN2xgQhHA6rXC6bVd14PDbU4hyEh0L81Kc+pec85zlTPq8c1LgLTSYTG23g0ESJmk6nzbaNzT4ItiQZfc1jQ2FyOE8mE6PQJpOJWdHxnhlTQMnJYQ8diQhHklGTzrEYZjBJtIFAQCsrK4YyI5GIrr32Wn31q181v1poRD5Prm8wGDSDgV6vZ3ObThEVhhYkRQ7UQCCg+fl5YwGgekFgjHlARXKtQYWzs7O2Ks5pxgBicyqiQfeRSETXX3+9vvKVrxg6PHHihDl3OXvhzPviE/3Upz51avmA1+s1W0DeLwp3Z18aoRbFg9frtc8FYRsFH8kWahwWgcdkVI2+P3Ozzt2sjA7xONVqVWtra/Y6A4GA0um0fv/3f98QJ/7VfE9B5JLMgARFtyT7HoJm6Ydzz6GSp9gsl8tmtQlSpzBFk+HswYPusTM9ePCgxuOxSqWSbrjhhgu27/p9JddyuaznP//5OnLkiP7ZP/tnphB+4xvf6PZcL9AoFApTTjzNZtO8Y510WSqVMtqSytw52sDh0+v1VCgUNBwOre8H3QaNVSgUrGqn1yXJhDKYDvBF5wCuVquSZP6vmDZ4PB6jqNmms7m5aQplFMU+n8/W3rFrVJqmB48ePWqJnR4WhQGHKIc5M5Y8bjgc1tmzZw2N0A8lOSKQgUJ0eul6POfW8HFAo5QmSfMZQL1jVvGe97zHihD6zZhQgDA5dNkyRBFAYgE1omZFdSudU6sWCoUpFSoqbPpqzJVms1kryoLBoBYXF20GeWdnx4oexECMRIHccX3y+Xz6wAc+oOc+97lWwFx++eVmOOJ8j6i5fT6fzpw5Y6IkHodREeh5TEfoJd5///2qVCo2wsWSeZAZlD5GC1DqoF9mnFk8DnJ1JmxJ9r3hM+Wx6a9L5xTDFGQoz/Gxxo6T+4q+8ubmpiFR2Aunspz7h2vPZw6jxGtstVq66aabzDoRtbFzHAe6G0erWq1m/sutVku7u7tKp9M6fPjw1NrACy2+r+T6lre8RYFAQOvr61PN6Fe/+tX60pe+dN5enBuPnnAiF2jMzc1NFQoFNRoNnT17VsVi0RTF9HMQnkgysQlJACoKtAtFhhiGXg+Px5cZ8QeJwOkARIJjXIBDVXqwCidJ8j4wREeg1Gw2VS6XbaYV5IJyt1QqTY2RcIAx2sK4B31T+pUUGP1+X1dccYUplHd3d20DEIitWCya2jOfz08hBZSz2EYSGDAw18rBd+DAAf3d3/2doXIQCuNMUKq8H1AgqJw+uiRztbrtttvsOdvttiqViiVn6MDd3V1LogjVZmdnreAggdMicKJDrheisIWFBesNrqysmEF+LBbT/Py8fZ70mynSSERQ5H6/X5dddpklPURReCPTq0YERb8f9TRCOtap8f4QmPEemOck4TECQyLB2II2BOgOoRSPhb9vJpOx9wYdSQEYjUa1f/9+HTx40JIgr3tpaUk7Ozv23XBuioIp4h5F6e71eqcU39z79OevvPLKKe9kkLkkYwYoAsfjsa3oS6fTtgD+a1/7mj72sY9paWlJ29vbP6BT65GN70st/OUvf1l/+7d/q3379k39+cUXX6y1tbXz8sLceHRFoVDQZDKxUQ7pnE8oCePQoUOSHlzgTUVMdU+ypapG5IKicjgcqlwuGwUK0qHq397e1srKiiknoSMRVTlHTFiGDnJ2ziyCfp1CjmazaQgH0wuUrPV63VAkvcJWq2WjBPSGeczZ2VlDXwzSSzJ7OieCTyQSqtVq5r4EskAlyyE6Nzf3HfQt7x/UAK1NT5vVd7u7u0bJgVC5/j6fz94fS9V5rSRyBEnSg3aSXq/Xkg29ahIki+Z9Pp8dpKB62A3GaOhDk0R5fpKu8/Vh8hEMBm3Ei2uKpSTqc0n2eVKYcejzWc/OzqpYLKpWq1kScK6SwwiB1/m//tf/0rOe9SwtLi7a66bPiLAHxAolOzMzM4XwMZdg1R07ZVncvry8bD9PXxTzBvqaFIPBYHCKagd94ijmdCxLJBLK5XKqVCoaDAZGEVOg+P1+K1Zp7WDpiHczEwA+n8+ES7QoKGRo96AUpj20u7urxcVFOxtmZ2d1ySWXaGlpSSdPntSTnvSkH9Cp9cjG94VcuYgPjUql4oqaLtCgB4TjDOIjnGdIuM7+FFVvuVyWJDv4GGuB/ur3zy105tAFzTKMv7y8rOXlZevF4nIjnTsgwuGwdnZ2LHk797zy3/So2KBDzxIkgEeqk/oul8t2aDqtBKG76FU53yfKXszcWbSOgTziEdZxobAGUXMtL7/8cls8jS9ttVo1w4VAIKBarWb+sRQzjEoxTpHNZqech0BaWPq1221tb29bUqB3SAJBREOvFjSfy+XsNUPRkxhKpZLy+bxRh6BQHpd7hX40wpxGo2GPwb0CDYxiGRERc6aoh+ndswrNef15Dz6fzxIaiZqWBEiPXaiM6/C7+/fvt2tMUeg0VGi1WpZQKVxwANvb29Pa2pruv/9++6wZk0Ftn8lk7Oc7nY6y2ayNF9HnJzl5vV67VrxWvkftdlvValWbm5tKpVLKZDJW0CAGBM1z/UiwjOLU63WVSiXbM9zr9ey1c8/TG6d/DyMF2mc5B99RWhK8h1AopMXFRT35yU+28+FCi+8ruT7rWc/SRz/6Uft/+gfvec979NznPve8vTg3Hh1Bz5PEtba2pmazqUKhYOIJvqj5fF7FYtF6tDjnsI2DLyTU5Ec+8hHzkuULC0Jj1yYqRQ4PZ4+MRJNOp01tSV9QmjbLx5s2kUiYqTim+RxeJBAEM84ZXklm2YeZAAIvxi4YvCdRQtMFAgGj8aBmpQet6+hzcq1YrE7P2uv1mhkDB97c3JzRuSQB+n7FYtHEP/TT+H1+nvEnxkhwAqIPTWIE9ZfLZSuM6K0ySgITQEHE9aYnDgWL+IXeHyphJyVZq9WUSCRshAa05kz6ODbhDgaFHQ6H1Ww2Dbkxm+20SKS4wAeZYo6CrNPp2AYirv2zn/1s0xZks1n7HBBcOQ0lcCTj3vJ6vTbjzdwt41cUf9CsTs9p5yYgrgNFKwwEBSKLFRiBmZ2dtVV4TuoXpoH7kN4wDAzLDVKplN1f0OrMpMOEcDZQTMPWQH1DJ4OkEfnxGUCdO3vOF1J8X7Twe97zHj3/+c/XrbfeqsFgoF//9V/Xvffeq0ql8n90bnLjsR0c5sPh0PyB2dUJcmm325qdndWdd96pgwcPamlpSYFAQLFYzDbcMALjRFJf/OIXNTc3p2uvvdbGCDjkEaSgPgRZQFNCw0kytMBYyt7e3tQGGtAO7lHdblf5fH7KW7dWq2l+ft5oOQ4yDieQFmgUGo5xBQ5MBFscaAhToKdBGU4XIv4Me8mFhQUbI6FAkGQG7VCtHIySjLoDWTA7iUDFOW+Ls1M+n9fS0tKUQM1ZyEAzc2CCxKDK5+bmjMom8fK8FBskKKeIh6To8Xi0srJihQrJypkAeL8oXKG3cc9yjmpNJhPdd9992r9/v9GVFADxeNz6+yRD0CyswNbWlubn503whlUniJ1eJUgYhawkWwgBtQzy5Hd+6Id+yJIpLAsUL31W3MRQ0DJSAyvh7JtjeEIxAeuCExIq5KWlJUPYKNuZC0fUt7y8bJ8r6J6eLEsRKAj5LlBQw1Y6aXKeg+8B14t2UKfT0UUXXWQTBBdifF/I9fLLL9cDDzygZz7zmfrxH/9xtdttXXvttfr2t79tvTc3LpxwVrh8SSSZGQFIqN/v64UvfKElToy6oaCgL7E09Hg8+uIXv6hXv/rVtkmFyhp0SrJChQh1xgFFwkd1yKHJTljGhTi86b2NRufM8iORiPV5J5OJtra25Pf7jcol4TjfOwe/0/bu/2fvzcMkL6uz/7uqunqvfet99gFmYBgGCYsIYpQ9BiUmSqJijInGLD9XTKLRvDEa45KQV9EYNWrU+IqiIpuyCCKrCgMDAwzMTM9Mb7VvXd3V3dXVvz+az5mnIO8bGZBl7Oe6uGCG7qrv+pxz3+c+9yFAYkBRqVQMnaNiZrNF6AV9Rh2rvb3dTM5BAZgp0G5DewiblmsaMT4+bsIed1QZ3zU6OmrzYGEbksmk/H6/gsGgTXshOEajUQuQqEtR9RLsEJWVSiUT5rDBU+/k+uJkxQqHw5asuU5S3CuuJ7QnzwU0Ps8Uo9x4RsLhsLWBULNNJBJGSU9PT1stfnp62npiqV/zzJH4uGPcUDEjNuPZQvhFsOVzJyYmVCwWrd5JkCIp4/2gfkzS4iZvtHlxTR5++GFLEvL5vL2PJLxuvRidBH7L1WrVEquOjuVxihhSuM8xCyU7NXzMYbjmJA8kH64gi2c3k8mY5oJWvHw+rwceeEBTU1Mt33c4radlIrGyfvn1QjaRuP/++3XXXXcpEomY+QAIho2AthBqVY3GsrcwJvxYvJENY8IAfQct5fP5jO6dnp5WLpfT8PCwba6gjGg0qvHxcQWDQdvwMeJ31ZCup2x7e7v+/d//Xa9+9asViUR04MAB9ff3G91WKBSUz+c1MjJiNTWOlwBIGxI+sqBKEBZ9p25wRCBD4EC4wyxYEBznjnIVxIZBBZQzFCy/B3ItFAo2UCOfz5vICxEJiQdmEgTQtrY2FYtFq2+ibubnucbz88uzcEFf0HskNdB/fr/f+nY5L2rXJAX42IJiQDmwBeg6QO8EeJICxDSSTKTDcZDwkdhAJZdKJUUiEe3bt0/JZLIl0VlaOjjgoFqt2vUC8XIc9O/CGLj9oG5JAvQtyZIwaGREdJLsGXX7mvGDJinlGL7yla9oZGRE27Zt09zcnOLxuAnPqOEyDALhIO8glC/vFn3b0MqY65NwSGpJHNPptBKJhD0j7e3tGh0dVSQSaZm9OzMzY0ktzx7PGYkHyQTBNhAI6KUvfan13T6f11PZx3/p4Hr//ff/0gewZcuWX/pnf13WCzm4PvbYY7r33nsVCASsGZ6XH/qso6NDU1NT6u7uNk9Wt68ulUqps7PTaFkUvQg4enp6njThBjoXNEjmzObGtczn89ZGk81mjfpksgwiLPyL6XdlKDnj86CoEEwRQPHsxbzcNU6ghuYKd+LxuBYWFowqL5fLZh5BQEIxyufh08yfp6enzbwC1SyBjLqaK+hBPEJCAEWIwtdFugiydu/erWQyqaGhIdugqfe69pYE+nK5rHA4bO5NtPKUSiUNDw9bcKS1BYoTtObS23wWgY9ABBqCFiVxGB8fN5MJJtJwfTn/xcVFFYtFGwYBpQsiRLGMgnpwcFBLS0vKZrOGPmEpFhcXW9yxUJDz97QIUbbAPAQVOLQtvdA8G/THckwPPvig1q5dawItghHK9+7ubkOwLgULnUyd2jXvIJnEkpBjcVXxrniNgMd74o6Fw46UZGh2dlb5fN5QsutqRkClhkxiCHMxOTmpUCik8fFxSygWFha0ceNGvfSlL31BiGGfyj7+S9dct27d2nIRWcRm9+94UVbW4bEwO8eTlJoXbQSIfrASdFtlQERs6oykc+3ReEhR40JpSTJVLkGP/59MJiXJNpJisWi1UOpKbi8qdUFENbQVgBwJPNJBFyCQw/33368tW7ZY3QuUgeKYrB8zcpSxbLYgPxA+zkiIdjDjl2TIpVqtmusUgikCLzVMkhF+h+QAJAgCo6e0UCjYEO49e/bohBNOsN+hXgt6InB4vV5lMhkFAgEFAgHl83lDNIlEwnqFmYYCe5FMJi0A8/kkSYixGo2GtXxEIpEWKpT9ZG5uTpFIRPF43KwWQZWTk5OWcLmDGECoLo1OkGRsHCMSue+uaM2drhMOh1Uul+2ZJckAefHf0OB4AzPYnuQGxiIajZrIirF+rhEFAZmfR2BHTRw0uLi4qFQqZZQqQZJ2nYWFBZtUUy6XVa1WFY1G1d7ermw2a9eaZx90Lh2csMR9pb93fn5e09PTisViLUkA4yJ5R6GwOzs7dfPNN+v000/XgQMHFIlETLGPkYRrwXm4rV+65rp3717t2bNHe/fu1Xe+8x2tWbNGl112mbZv367t27frsssu07p16/Sd73znV3m8K+tZXtTZQCsMQ15aWjLzA9fQm6zcpdeY/oEQqqOjQ+Pj45qbm1OhUDBlrNfr1UMPPWSU6oUXXqidO3daUKSp3efzKZPJWLKHIpHNCBclaFaQLIGmUqmYyxCOOmwUiKZo32k2m0qlUtZaASLlXHfv3q3u7m4zrqdnE5QBBTw2Nmb1tVAopHg8rkqlomQyaU5BrncsxwF6lQ4OGZAODg8g0OJ2RU1yaWlJkUjEzBNcd6tgMKijjjrK1LqIrKAV4/G4nR89odTkqEFzzWl94RkhoWDTJ7AQjAgc09PTmp+fVywWM2Vxo9GwAAoFDvVKuUFaRr3pdFqSrH54++23G0WO0G3fvn1megKNjW1le3u7eRVT6+d+u8KvvXv3anJy0kw8qLVjI0iphN8l+XFLIZKs9EDtnpo4nscknSBIGI6FhQXFYjF7Rrq6ujQwMKDh4WFThk9NTdmYRLf9DCSMGQX9yD6fT7lczoz/qbfzu4yi4zj4rLm5OWOIoOBJBqC5EQ6C7j/zmc/od3/3d3XzzTfr0Ucf1eLiog2pl5ZLGV1dXTYk4XBav3S6sGrVKvvv17zmNfrXf/1XnXvuufZ3W7Zs0fDwsD7wgQ/oggsueEYPcmU9d4uaDz2gILOFhQVzUEK8AApE2UsG7Wbb8Xhc09PTuvfee3X66acbnQVqiEQimp2dVSKR0DnnnGO07OTkpDZt2mT0Gi839cH29nZr+UB0IslaG0BNbAIEcDZ9ao3t7e3K5XIaHR2V3+/X6tWrbUPp6elRo9FQMpnU0tKSjXWjzseIOkmamJiwySzz8/NatWqV1TCpuXEebMAMQkDM5YpBaD2RZJs5FCz1QgIdiJrEo7u728zoJdnPuUEABOyOBuPYsQTs6OhQIBDQzMyMzdglAILqQU+sRqNhCQbJEBQ/PaME5UAgYEEMYQ8IncSJcgRDGAhSL3/5y+1Y+vv75ff7ddRRR0laBgY4HHG9aIuhzEF9nF7NRuPgrGHMKHgXqBVnMhnzLCZR4r5SN+7v71c+nzd0S8ACybsoVTo4qxf2BSEhi+sCSiZxYaACBg8E60ajYS5PtGR1dHTYvaMFC6bIZSeh66HEY7GY1ZPn5+eNoQkGgzamEQEdz/S//du/tXgizM3NWTsbyTkCusNtHZJaeMeOHVqzZs2T/n7NmjXauXPn0z6olfX8WWSsGIi79CGbMhtApVJRPp9XsVhUMBg0CrJcLuvSSy81J6FqtaozzjjDfHjd7+nv77f2lTe+8Y068cQTFQgENDQ0ZHSz3++3AFUqlaxOSx20Xq/bZsZmynd86Utf0mte8xrbWEHXbg01HA5rYmJCv/jFLyzQsYlRp5qdnVVfX5+OOOII6yHFJYkWHHomJZm9XLlcVj6fbzGDcOfLooClnYjWGL4XdSYqVYYI3HHHHXZvQGpQyvQRQ+kzVo7EBBcp1NSuyQHGMBgBEGTdWiduQ67CFloZNN1oLHvrMhmGwOqqr6H0I5GIKW0JLHjUYrnnInSeC86JQIJIbnBw0BSutJ+A1AlqCNYIeCz+TI8r9H+1WrXhD9CaKK0R7JCMuYEcxgRGAYQIUkdNT0sZYjZq79Sz3QDLs0Ii4j6vPIOoeV0GiGSE5xA2gqDsTrPh2qEQ517BBHGfUbLD7vAOxuNxSwKgq/v6+jQ0NKRSqWQiqsNpHVJwPeqoo/TRj360pT9pfn5eH/3oRy1bXFmHzyqVShoaGtLAwICJFuhHBak0Gg39/Oc/1/bt23XDDTfo5ptvNtN2RhKCYkFjZKy0vUCdEVCgLKljYTMnHZwv29nZqXw+b/Tybbfdph/96EcaHR21lgqfz6dsNqt6vW61TRSZKBtBlYgvzjzzTP32b/+21R/pPSRYg7ZcBSjHPTMzo2Qyqc7OTqvV4fIEDcf58HkIVqhBT09P67vf/a6+8Y1v2GbkUn5tbW1G0a5evdpqdxwbG3GlUtGePXus5kjdkOBOryTXFAoeVITxBf9Ax1NfZbl2kiRfHo/Hank+n8/OnXYZAhYJyZ49e6y8MDQ0pB/96EeqVCp27AQZnod4PG60pSQL4Ng2okbFHYtgA3In6aInFEqfXmHuLywI1wz6mZorhgrBYNDKHvwd7AhBbXJyUul02uhlyhcE0ba2Nk1NTbVYXcKGoJrmHcCekxYikjBKBq4hCwgZVCwtq5ixKeR64OLU29trzyitRPV6XXfccYceeOABFYtFo/Z5F2FL+KetrU2RSMTMLXj+ZmdnFQwGbepSR0eHvXeH0zqkKvLnPvc5/dZv/ZaGhoZMGXz//ffL4/HoBz/4wTN6gCvruV2gsvHxcUNr1GGphRWLRc3Pz2tyclLf+ta3JEnHHXeczj//fG3atEk+n09btmzRueeeqy996UsaHBw0P+DFxUVTLtLOAq0LHerWfhAAEcyeaBbxj//4j5Kk8847zyhMqOLe3l793u/9nn77t3/b6DOSBOqOoL/Z2VlVq1ULzphfsCG3t7fr0Ucf1caNG83MAQQdCoXk9XqNNoZSR3XLcUNJ4mTVaDQUi8VMULVnzx5Fo1Hry4SqbGtrs0lUtGKA+KHtQCaFQsGsI0GmrptTNps1VoD+TZfCTKfThmr4f4x0o7YK9QjNHIlE7P6x0UMtEtwzmUzLSDR8bQmc0vKAEFAp9UOcfiqVigmPqBFLMvER3sF4REejUTWbTSUSCbs21WpV8XhchULBkDRMCsIu2llQAyPWIVAT/Pg82lkkKR6Pm7qWgJbL5TQwMNCiSuY6oa5F6FMuly2gQlnTEkSQp/+Ze4vFIIkiSQDPNur5arVqAitU8zyPaAvcBJjnzx1ujzMaiBb0SgLEJCha1BABkkxyv2iXO9zWIfe51mo1ff3rX9fDDz8saRnNXnTRRUazrKzW9UJtxZmZmdFPfvITZTIZtbUtz1SdmppqyZZR1F533XW69dZb7Xf//u//Xr/xG78hSUaH9vX1mZKVCSu0cBDomJ7DxkoAJZOn3cGtzWUyGav7goDn5+dVLBafVO+SZL8LHUfQAb2EQiGNjY2ZUbvrhuTSudQkEd6AGOlDRfRB0sBGTJ+vdBD1EZxA7NCt2AxC78IGuK1MBAJqXaDliYkJQ9EgMsbVQckuLCwP6CYQYd7Oz3O/QCYIrDhXggM0piQb34ZtYyaTsT5hzgfU7yJeWALG5rnmJYjJqJODxFCDw2IgkIJJoC82nU4bnck15Nygk+lV5Tnx+/3WK8o9hXqlR5d2LGlZM+BaGpLEMKBBktk7us+Kx+Oxe0KiQ6mCwIbIjD5oaGeXpnVbfwKBgCSZ1iCRSNi5EDShlzkeRHkEVPqEafnBGILnk+eK5IGRkrBC0Mu08fT09FiL1Pj4uAYHByVJ/f39etGLXvSr2cSewfUracV54urp6dEf//EfH+qvr6wXyGJ0Ga0T09PTJg6CRiyVShoYGNCqVatagqu7EREM3LYS10wCJSYbGHUo6rZsVnioItrhZV5YWFAikbAM2OdbHtZ84MAB+Xw+oz6pP7l9iVBt3/zmN3XSSSdZECCAIx5is8MpyvW5ZUMiwCwuLlrdifok4irmnFLHpHfTRZcIdaampqyW2N3drc7OTv3oRz/Svn379Na3vtWCDbQ1lCeOTK6QKhqNKpvNmsFGpVLRzMyMwuGw+vr67FwKhYL1pKIsdelO0CWbut/vt0EAKK3xIU6lUha8SJRwlOJ3YRegLEulks2iJQEAuVHPpP7q2vChWN6/f7+ZafAZlASghQkUWCpy/XieXMTM70sHrf9I5CRZAgSyBIXW63VT2Ls0dCwWs/cIcxOCOugYAxBEZdSHqZkT1AqFgvr6+jQ9PW32idxvEkJ6W3lG+W5qwXhau4mne02kgwgTdM79AEVLsueFhGhsbMxMSkjIuK7T09Nm7g9V/MQ2zxf6ekYdmiYnJ7WwsKCRkZFn6iMPm/VCRa5TU1O67bbbTK5PawAZ8OLioolUHnvsMe3cuVNer1erV6/Whg0bzIaQVhVQJOIdgo27WdPnOTAwoGw2a8dCwKOfTpJtKAsLC7bB4IeL8pHvBXliQg5C6+rqUi6XM7oMg3vaSbLZrPn9sjmh2O3u7lYikbCey0qlYhsGrxZUcbVatcwfOpgZsdCnO3fu1PDwcEv7EBuZ17s873NyclLT09Pq6+szRyiQnCRFo1G7V1jucd0xUADJl0olGzrABg+amp+f19TUlFKplAmJuEZdXV0qFApKJBJWY6XVCJOMyclJ9fX1mbq3XC6r2Wza3FuGfRMAqT26bk9QqwR0+n+TyaQKhYKq1ao5eLkevK5y3Q3CUJWofyW1fD8Bxev16sEHH9TXvvY1/dM//ZOWlpY0NTVlx0O7Ds8JIjZaf+jppPWFGrbLwhQKBRMMgQJhb0DauH3hVYyBA65k9KGS6MKKwDKgqnb9kRGJgfr5TpJCngWuO4EYDQMOaZKMbeHe8bm5XE71el19fX2GckG0Pp/PZv0ilkokEjrjjDMswD9f11PZx5/RM3nZy17236qIV9YLd7EBVatV21DYpJiIEwwGFQwGtXnzZp1//vk6++yzdfzxx5uxxMzMjD7/+c/rjW98o8bHx40qoyaYz+cNFVJrajabGh0d1UMPPWRj1BDHuH110If0qvb09KhSqWh6eto2YklWEwIlYTiQzWatfsd8UrdNRJK1AyGocceKdXZ2mikASIdrhDqTzZQGej4PShQkAnJBMQqKo97IJhcKhbRmzRr7e0mGovBzLpfLRsESaEDFKH6pRYMe2YRBZT09PTayzOtdNrUH6VJ7I0GAHn/00Ud16aWXqtFoqK+vz+hz6tsEAjbqRmN5uL1rlwj9yUxebBNJcqA1adGhNh+LxUyoNjs7a0Pt3bYltAEkN9xLRFrYLnq9Xq1bt05vfvObbTRgV1eXxsbG9Lu/+7smooKG5fqSzFUqFd13330WdIrFotWoXVEgND/Itre3t6VPGVraRdx4RYdCIaVSKWsHgq6NRqMtg93dtjXoW3yWYSh4zym7lEolSbJSCuyRW7fHp9nVKBCgu7u7rUcYhMt5dnZ2as2aNRoYGLBzcduNDpf1jNpifPWrX7XWg5V1eCwyVjJxEFk2m1VXV5fVmKCPqXNBcU5PT6tYLNrLQ5aOGQXTaRDzQA9Sp1m1apVmZmaUSqVUKBTMao7eQkRHoF3QFJscvY0EKuhiapiIYpizOTAwYBsZLQ2JRMIybAJ4R0eHbfqub7LP59P4+Lj6+/tbamskIYVCwZArqBTxR7FY1MjIiAlCXJEJi00PNCwtWwNSVwXhuq0VbOgkAz09PTZRBorYRXOIveiXZMQahvmNRqPFdABhDYh03bp1loCRMJBkILaBasUFiODCJJ57771XmzZtkiS7PpIsOaJ+mUgkjN3A/IDkqKenR6FQyOquMCiYYiAUQlWLAA52oaenRwMDA1Zfpb/129/+tiHNmZkZjY6OauPGjTYVB+ek9evX2/PBeVSrVWNn6BN1uy6mpqZMRAjSC4fD5nSGsjmdTlspgWSMAIgrFuwAgbher5u6n8ESbs3X7XWWZPSyKzaanp42S0+uNUkcTBHHccopp+ixxx4zYRTnHwqFbCIVdp4kOIfTWjHuf5bWC5UWHh0d1U9+8hNJMsu72dlZVSoVG9dGC8nExIS5yfCCUTsENbAR0BPJJkgrTTweNxqUDZsASk2G2iVCGHc8GDUmqDT6Lru7u+3/I7RglB5iHOpkHC//pjbIJkgdza1N3nDDDTrttNOUTCaN6nR7Wfk+NnVXnex+F4pOnKHwvUW8AlLCkAM0jpE99S9qyfR7ou4FHWHLyEZLew+I1m3nobYNrU6PMaIh2pnca4cKHDUp1wEHH+qb9XrdhG3SQcelnp4eE9GBkkCUbo0OmpnBC/gVuwGD5CGXy5mIiiDO4HZ3VNzc3JxCoZAymYwZhlCbLZfL9tyjQcCfOhwOm6qcz0QzwLg76FaQczQatetAXR/PaVpZPB6PfT8tLouLi2ZLCbL88Ic/rPe+971WG6ev1Ov1mmuVa/JAjzI9uqtWrbLvrlQq+v3f/32deeaZev3rX9/iyJXNZs11LRKJGJp1a9/UhKmZ8/8wtEDwxKi/9vZ2nXfeec/7APuc0cIr6/BbuVxO0Wi0xecU9aZrru7xeJRKpYxiRHzCxskGTy8eze3QVFCKu3fv1t69e/W6171O2WxW6XRa8/Pz2r59uwVHMl6UrghM2ETZoEFLIGe/328IlYQAz1yCiTvaixqV1+tVPp83S0d+Nh6PKxgMKhAI6Atf+IL+z//5Pxb4XLSIzyzXA2QBpYY4DDRHnyGJAhuzaywPgqHGy+bM9+/atUter1d79+61UXfRaNRs59hcCdyonblWIFmCNceBcT/0pes4FAgEbANHLPNf//Vf5g8N68G1SCQSSqVSuuiii6zrgPooCRNBjERLkvVEI27DnIH6OaUCV2Q0OTmp+fl5a8Uh4UJoR+LGplmtVs0fuV6vmxo4mUya4Ix+XOjo7u5uxWIxcxtDPLawsGAlFIYiUNagVs6zC9siHVRc45pFEsjvMWmG3/n7v/978w9GBMdzjDpekvVHt7e3mxELZR7XLesd73iH3va2t1lrEPXw4eHhFnMVKGbabVAyg2J5ftBoUIPO5/NG37ve3ofLOiRamGzql1m4v6ysF+ZCSu9u8LjZIKIATaGKZbwY6JXNn0Dlqk4lmQgumUyqUqno4x//uCRZ7aazs1MbN260bJdAQCBERQz6kdTSGM/LT80IlxxEHm7dEnca6EtqwyAKMm18e6lVfeUrX5EkU5q6Ag+XGqSWChUmHazbPXEYNpu6ax/JBsf14XehAxcWlmeFnnzyyapWq9aXTJ8pKJpr4wqJUMRS98QbOZvNWssGFKk7Cg5WggQGh6Th4WGtWrXKBDIg7EqlooGBAeulvOKKK7Rv3z7b7N1aLC0zMBZQ2aBkRGdYQFLzI6j19vaqt7e3xdgBtMd1I+i4n0GC5SYfkoxuxbaS43CfR5TQ6AcIzJwv7WIMdIBx4P7DjLAYPNBsNs2Dm88EHVIScPtI0QdUKhUTtdVqNbMcxLLT6/WaiQa6gnq9rm3bttl58x0kHq6VJk5eiURC5XLZ3k8SRDysSZygo5eWloxK7+nped6j1qe6Dim4fuADH9CHP/xhnXXWWTr55JMlSXfccYd++MMf6gMf+IApyVbWC3/RZ0ctD9oQ1IoykQDijvjC7s+lPNmsG42GBgcHbcPL5XJmL/hXf/VXVqdj0+JlLhaLLVQi7RcE7iciWupNkqxNAsMBabkOhgcyGT61RLJr/GUvu+wy3XTTTbr88sutT9M1mOc86dMFgVEDBWUuLS0Pi0fBTEsO1zKbzZpKlH5g15YP5A/yosZIUjA3N6dsNqvOzk4NDQ0Z2rn55pt17LHHamBgoKVmhskB12V0dFQjIyOGPhGshEIhTU9PKxKJmGIby0faUfgsaFjKCCA90LIkSxZ6e3t11FFHWV8wdXcSJAIItVlJLa5atVrN+qcR/cBGgKZYUKz8PnS7JOvndJM6Wow4NqhAUCHvhcfjsfvrIn+MMWiZoiQBc9FoNDQ5OWnlBXyMcXDC9pF3EdESQRKGiHOktEHSwTuHmKqjo8O0BjAP+CRzLrznBNTZ2dkW1zSv12vvC+Im3iFazmilQ1sAU8Q9xwikvb1d69evt/f4cFqHVHO98MILdcYZZ+jP/uzPWv7+05/+tG644QZ973vfe6aO77BZL9Sa689+9jOjZqG72MA7OzsVDodNaYrrC/RqLpfTjh07dP7551tdCLRBUAHxEPQQNuAGwwZYLBZNLQuy8fl8hujY7Obn563m634eFm1k2twDjoWNlQZ8RFls7JIM0YAMqtWqZmdnlUqlbONpNBrWo8nmJ8k2XungEGrXKtBFZ3jfskFyzRGlIOoZHh62zYwa9vve9z5ddNFFZkMK/YdjFPUtAsUjjzyi2dlZrV271tiEvXv3amBgwBIprjezOIeGhjQ/P69cLmef5d4bFLe0ToGuC4WCsQyRSMTQOgEQi0KQosfj0e7du9XX19dyzB/4wAf005/+VD/84Q8tkITDYVOBw1JAr8KgEMBIeFAsI/yhft/X16fR0VGjsQmIbusYAx56enr06le/WpL07W9/21AxGgDQNqYraBDS6bRdm4mJCQ0MDNjzRXLKIuiSoPHcUCOGpkZPAEPgtu5gk0jwJsnBkQnRF8I/vMFpZZIODoygjDE2Nqb169fbPV1aWjKbRBJa6GaU5ewBmIogRmw0GjrrrLOe9wH2V15z/eEPf6izzz77SX9/9tln64YbbjiUj1xZz8O1tLSk2267TZ/4xCd0+eWXa+fOnXr00Uc1Pj6uRx55RHv37rU6DS0fbAq0lJx77rkWvKBoEfG4toNubyMCG1fIE4lELOBBVe3Zs8foZterF6TFnxcWFlQul03UQeDN5/MWGMioUeGCXqmDjo2NWXJB767f7zfjfoQm1N1cyplh69S6oKdRZ4JgUOtyLlDH3d3dikQiymazhhqg9hqN5Sk9IPu//uu/1oYNG+x8Go3lgQokDzT1E6QJ9Ax0r9frWrt2rW2gIBlQaaOxbPTPnNV0Oq10Om3MAfcIFTJuQ48++qihcOq9zPXkeYnH43Z9sIT8m7/5GxN+TU9PK5/P65WvfKUkmaoVFSo1dZyXCI7cf0mmsKV+Wa/XrW+YAEh7EbVlrm2z2dTU1JT10TJabf369XY81CzdPk6eDXyPqb2DKAcGBiwxcRMvrgXj23iG8/m87r///hYmxO/322AMBp4Xi0ULwJ2dncZ48Oxyj7lGaAxQhRPAc7mc0dW8U21tbRoeHrbAnM/njbWAuUT0Nj8/r4mJCXse+R6ODXbkcKu5HlJwjcVi+v73v/+kv//+979vxugr64W/PB6P1ScPHDigcrlsk2/YwBCMQKNiUYdvKcGwp6dHPT095oyEKxFoxKX0QqGQecFihgACBCF6PB719fUZhYg9G59Daw4UIWjw/vvvV6PRMN/ZQqFgWajP59PDDz+s0dFR29yWlpbsXBCXoORkeg8JheuoQ20UkwaSCDZ2XHm6urpanGoIuKiLEQCl02n19vaaacXCwoJGR0clyabskGhw36jtkpiADqn7ZjIZjY+PtwRGqHV6JRGmYGAPOuc8BwcHbfQgjAPTY9w64vDwsJLJpLERXB/QPQjpiUYS//t//2+73qDBY445Rt/+9rfl8XhM3MZ9ajab1udMUOX/g/KgKHGtItmamZkxn2z6TN1RcCijea74+49//OP63ve+p3g8bmwKz0C9XjdzDejjcrmspaUlTUxMKJPJWAsR6Bw2BkRP+w4/09nZaX7R3IuxsTFlMhmr+bvlD4JjtVrV0tKScrmcJTXFYtF6kd12LEodKJq5H9JBZTX9qYVCoeUeMkULlgqtBIkaiRwtR9Dlz3fU+lTXIdVc/+7v/k5/9Ed/pJtvvlknnniiJOmuu+7Sddddp3//939/Rg9wZT236zd+4zeUSqWMpqUNgZqix+Ox2hSbGxRnLpezTcmtoyUSCRNx0GcqyRAsQYsN03WdgWqLRCItvYe1Wk3FYlH79u3TkUceKUnmT9zd3a1QKKRGo6G1a9eaOw5Ikg2sq6tLRx11lAU/gluxWLSXnyAExcoIro6ODgvAUNAoJGmHYeOhHYW2DOqpKJFd1xquCXVkficQCJjymUCNvyzj0EBQ4XDY0PPi4qL1qM7NzWlwcNA24kwmY7/X3d2tT3ziE9q0aZOOPvpoYwdcF6FwOGwUYyAQMMcld3Oem5tTtVpVd3e3KYkJZlguojwnAHEuHo9HyWTSaFi/328UPBQ5qluSElTdJFvSwcHy3Cevd3m4PNeDJITgNzMzY0MWpIOiIWq80LKgVGqKJAfd3d36h3/4B73vfe8z8R/OV/ToErz5b8oqrqIcNAnjAqMCmp6enjZ70e985zt66UtfaoMycFFCXU9tlXPhs/gZrhN1fZ4lV7QHksWhjLYuBHe89xjCgI77+/tbAn5/f7+1+1BS4vMOpwB7SMj14osvNku8K664QldccYWCwaB++tOf6uKLL36GD3FlPZcrmUyaCwxZpjv9Ip1OWxAi6CJ6GBgYaBlZ9uMf/1jbt2+3WiWbNBtyMBg02hIE1Wg0zHVIWkauqVRKvb29ymQylm0T9AYHB43ORbzCCzw9PW0vNkYTjLxiqg5BhCCOFR1IIhgMGm2HoxRuOGwOXq9X+/btMyce6s1QkdTgXOHLq171KkPMoOFisWj3gSBMWwbohk0ftEsQZzNtb2/Xrl27zBTCVVSHw2FFo1F1dHQoHo+3JE7pdFrf//739cADD7T0G0PTg8BIIqRlQwfuAypV7jPXslarKZ1Oa9euXUYNEphIrJaWlkezXXDBBTbizkWhrmiNMkOj0VA6nbbg5M5f5X65A9eTyaQF8lQqpfb2doXDYfsZXLu4Hm7dnV5OSXadEePNzc1ZuQGE56qKoWZBdVy77u5ua2+hR5Xkrb+/3+qdCIHQPJCk/fEf/7GOPPJIu79MnEK5L8msSyVZEKtWqyoWi8ZO8M5xbTCG4D2RWgV1rgqf98zVCuRyORN7lctlO19MaGgRGx4eft5bHz7Vdchnc+KJJ+rrX/+67rnnHt1zzz36+te/bih2ZR0+i9olLz+bFz1u1HV6enpasn9s56TlDWjXrl2qVCo67rjjzF2nt7dXoVDIEIRrxUaNtlKpqFKp6Etf+pJlzGyku3btavFN5ZjYGECOqE6hJFGCUjsic0f1KMmy8OnpaUPZKCIR7xDI2MBJLJrNps2vdduWCPCgmC9+8YtGGb/0pS/VmjVrbM6pJBMULS0dHIUGCpNk4hXOh3NgQwcJRiIREzVB+XJ9sIekZsl1WlhY0D//8z/rda97XYshBHaN0LcoW6FjUXBDwVLT5r56PB7FYjEdf/zxKpfLT3IZgkbkHOlXxW2Jmh3oHZbBVfhiNsH1h7p0LSmp97kiInplUcOjUKYEwOe77VD87MLCgnK5nAWiv/mbv7F6JOpkPoNjGxsbk8fjaRHK8S7hpISpPnVSECKlDtAkrUEkXSSBJA2uCQb0LoEuHo8bVY84cHFxUV/84hcNbaObkGRtdhMTE/L7/ZbcwgrAJvDcwiRgEQqDMDY2pmZz2at7ZVi6s3bv3q33v//9uuiii5TJZCRJ1157rR588MFn7OBW1nO/qNeRMeORShBdvXq1oQk272azaciOesyqVav0qle9ylABG7YkezmhktzARYD4y7/8S5smgpXgy1/+ciWTSVP48jLjvMPnSgf7S9ksCZiIiebm5lQul1vcc6Dz6N3k7zCzQKBBwC8Wi4bGuQ7Y71HT4tyk5YHs1I9vfny4POdPEEDNCfLDRIIEgxoaQhauAUlHOBzWqlWrrObcaCwPFIfedXs2EQ4R5KCdCUK1Wq2lhccVDUEpPtHoIB6PW78l9ftYLGbngJctLAA9xZ2dnbr22muVTCaVy+X08MMPt1ClnOMTg507fcZFuShTQZnuyDVqnYhvqtWqyuWyefrCFBDImPLE36PUpY4IcsZti/sJDUrCsWbNGjNQIMmjZg2a577RXzszM2O2mwRPSiTZbNZYIuqb1OwlmTAwlUoZA8UzjEkI4qRCoaA3vvGNNtSBZ4nE2U3SeMalg4YylB2wQOXcQMUPPfSQksmkyuWylZwOt3VIwfWWW27RMccco7vuukvf+c53LOu477779MEPfvAZPcCV9dwvd3MJh8NmDXfppZcqnU5rYWFBBw4cMI9h92VxAxTUqiRr7GdjhSabmZkxVWp7e7v6+/stcLL58YKy4UNBZjIZ+wxJVneDamSzohfVHT02OTnZYhQPEkylUvY7GCBQ46Q9o1KpGMpg42TyjkuZgywYxbdu3ToLXpL02c9+1gKcG2ioPd9www16+OGH7fPb2trMGIJ6rqtQ5hz4TDZqghd9jyRB1DCZl0uSgsiMdidqZ7SGcC2KxaL1Ibs90dDNODgVCoUWowZJ5rDF8xEOh60fU5LZGdJDK6nFn5gEh1ovKIwSRLVatZ5Vt92FhAsldSAQUCwWaxHekYhACbe1tem73/2uHnnkEQ0ODhoFXSgUDA0ShOntlA66Yrm9ugQljgGHM5TC3BPeQY6x0Wi09K1ybeh7hTavVCrq6+uzY8RTm/eEBISSguvkBOtDS9vMzIz5OLe1tWl8fNyU45iycN1JMEngqMv39PSou7tb69atUzKZ1NDQkL1Ph9s6pOD6vve9Tx/+8Id1/fXX28MkLU/FufPOO5+xg1tZz/3CHD8QCCgej6tarRrteP7555sDz/DwsAVet1bDpt9sNk1sAgXc0dGhYDDYUsdta2tTIpEwZEvGTiYsyTYG1+YNFSWba3d3t5ks0BcKuoHipuYTDAaVTCYtwIPIQIoY/TNWDiQLsuTYQHEEdQzyqTu69SlJJuRJJBK6/PLL9Za3vMU+h+Djzg3FAYu2jFe96lWamJiwc0BwxPGxMUJ7cz241nNzczpw4ECLipZEJpvNat++fXa9aZ9wrw0UJVNxksmkIpGI4vG4FhYWjN7GlpDgfOWVV5pICeoY9oDgAU1Kiw5omD5N/Je51q7YDiocepsWG+jTqakpa4lBsewGB2k5mMdiMfl8PkPrMDO1Wk2/8zu/o6OOOsrMIaBusSwk0aQe7rp9Uf6QZCpsTFhQ07otQExQImFDo0DvMEMAXP9o2mII0LVazZIvgjHPDG1IPJPBYNDqxzfccIM5LSGqCgQCmp6eVk9Pj9WDSRqh59Fd0HMOQwPqRlQmtQ5mOJzWIQXXHTt26FWvetWT/h4KZ2UdPmv16tVWMwTR8CIODQ0pk8lYGw5IkpccZMfoN8QwqBnJoKFTJbVMiYGuo+YzNTVlGwab4dTUlG688Ub9wR/8gdWsQBn0WII6JdnGV61WlclkDPmALjCVp5aHsAkEC+0LzQsF1tnZabaHtN1Qp6VBH/rVNcxvb29XOp02ZEcNyufz6cYbb7Tr5vV69dKXvtT8bt/61rdKknnDUqPjHuCKxGZG4HRpSQJeOp3WzTffrIcffljlcln33HOPvvOd72jHjh16+OGHrdYNwiBgUGentsh1z+fz8vl81tfpBoTFxUVdfvnlymQyLU5ACKH4ffpoqXMmEgkFAgEbY4jICQtBrqeLbkGeUM4EaObyQu8jliqXy1byoEbtjsJzRUeSjInA43l+ft7cx0jment7FYlElMlkbCIStV36lUHQIL777ruvxbiBZIapONT2l5aWlEwmW1qD8DgOBAIW1EGd0PewAJw7ugZ+DqMKaRkwoTCmzW7Xrl3avn17S482Cvpms6lCoaBMJqNcLmfoWjpo8+mWf0hMDzcxk3SIrTjhcFiTk5NPmt167733anBw8Bk5sJX1/Fj0Vubz+RbUxabQ399vL5FLk9KEn8vlbAYoalpccAgu1CfxjGWjRkHqiqigcQuFgnmdfuYzn7HsXpI1xtMegjMTVCZerSAOWh0QsdAryiZKQKedxOv12hBx13C8s7NTk5OTdt2oJ3Z0dOiOO+7Q+vXrNTAwYN6xPp9PhUJBqVRKtVpNQ0NDLaj80ksvVUdHh8444wy7LtJypv+5z31OP/zhD1taHhCcwADQJsE1xikHVCUdRPFnnnmmtfnkcjlde+21kqQLLrhAq1atst5PKETanKhllkol87AFpVN7B82w0X7kIx/R6tWrW3pO9+/fr6GhIQtwXFuoWNdQn6BMDZL6qzsrluuFirdUKhlVycYO1U3gok5N8GHgO+dEXVU62G9NbzHIEvMPRjCStK1Zs8Y+gxqpawlKUK/VanrJS15ipRSQNb7AjUbDpkhJB4V3eF2n02kNDw9LkpUj6OfNZDKKRqOGSinTkKzwns3Pz6tQKCiZTCqbzdo1A5lu2rTJkLh00JMbESLvFwkTqBYrR+YEo/6G0Tjc1iGlC6997Wt1ySWXaGpqyjL32267Te9+97v1hje84Zk+xpX1HC76R+nNJMBC2dKOQVsAWT6OMNFo1HoTqcnRI4pVnYsI8QwGZUgyipfPJYPnv7/0pS/pBz/4gQWXZrOpP/mTPzHzdoQroFjafnASYiMj8CM6wrDeRYNs3NFoVBMTE5Y8gBRBTtTy+MyXv/zlGh4eNlUzIqFYLKZSqSS/328BH0vAyy67TC95yUusbtVsNpVMJhUMBpVKpXTiiSeaoIWWC5gBasdsciCT/fv3q9ls6ic/+Yl2795tGzzUar1ebxElfu9737OJLjwPoCGCWbFYtPm3jUbD5u0iIqNFB3r4qKOOMnUqJhMgyenpaUs8oPpBO7VaTdls1lo6QIyodAnuJDulUsl6raempqxsAF0ODUugBFnxfGOWwjMkyZ4xSVZTh2aljQwFNcpqSaY8B80Xi0Url4D8eNYxF4EW551z+1slmTEEAWxhYcEodVAzCeXCwoL6+vo0MTFhokDoc7fXmCEXsVjMRHIkZtTqSXDdBIDyxC233GJJChOLWFwPrgX1ZUwxDrd1SMH1Ix/5iI488kgNDw9renpamzZt0mmnnaZTTjlF73//+5/pY1xZz+ECsY2MjNjLDMJjYwYpQe1S4ysWizaNo7e311x6QqGQOS9hd4jZA4II1JB8LmjLVYay+aBkZL5pvV7Xxz72MTs+nGkI0PR8svFQh/R6veapKi3XGqmZglDItL1er1G+JAgkIChUof8Ifoi0EOJIsvPm+/mZVCqlVCplP4NvLq0ivb29OuKII8wdCVUnRhQYqhP4QH8g8zPOOMOGeWMcweb88pe/3O7/1q1bjQXAUAOK2VXo4jIFIrn//vuVTCathkkwg27l/lI/TSaTikajGhoaahmkQOsOQTMWi5nPLt+PZSHPkSSr9yEyIxGgl9Xj8RhNi6CLRTtKqVSyZwuxFMnVwsKCaQi4R9DfkqwOiTgP5AZ7wzNEUKTWWavVrI/VFTmBpjGpCIVCNsQeJqFUKhkipoWMmqv7fvb09JjieXp62tTECMV27NhhZiiUaahZ8/5wH3FPoxf6rLPOMtcsF43C4vCOo3HYv39/i27ncFpPa1j6gQMHtGPHDk1PT+u4447Thg0bnsljO6zWC9W4f2xsTNu3b1dXV5fVTqHkKpWKiVoYct5sNg1VzM/Pm1zf6/XakHNqfmxYmDZQk3Xro4hRKpWKIStQDwiHocvNZtM2F1ouXvayl+mcc87R2972NhOSQJO57jAISm677TadffbZFhRcqhVBFbQ2f4ai9nq9mpycVK1W07p16yzxgPJra1v2l2Vjcxv1QYDQctCVkmzzZdNEiFKtVm1To54KAu/s7LSxYmzo/H+Ure7kGVCv17ts8L9z507rTdywYYO1XoCA2eR9Pp+2b9+uzs5OrVmzxhyiEAfde++9Oumkk0wZjoKYhIzgwlxcREC0ScFiEMxxLBoZGbHNGjqSZK1eryuVShnCJoFB1U37jqvKhjrmGSQwkLhAiXK9KpWKPv/5z+uGG27Qxz72Ma1atcrU2wS7zs5OTUxMmLUm1pkYd4AweS5pVwIRgtbdnlbqw6FQyJIQWtuwamQiEgkJugbU6RiUuB7Q4XDYTEt4fmApuru7VSwWrR/WNe+nTMLv8QxhCJLP5+04yuWyWY7Clvh8PsViMb3sZS97QbTjPJV9/JBqrqzh4WHj91fW4blckwVEHYlEwhDb/fffr2OPPVblctk2aWpi0HCSbDPBPYlslxcNn2DaDObm5swkgQDExsumTgY9OTlpLTwzMzM67rjjND09bW0D1157rd785jcb0lxaWjLEAYoMhULK5XJatWqVDQyPRCLW0oC5Qj6flySj61zVq2uAwcQXaC8ER5FIRPfdd59GRkYUi8XU3d1tPr8EVqz1EPqghpZkG5Lb4wmFiQfy6OioDax+oj0lrRPQj1gtYoZBffyEE06wiSYcj2vUwbNQKpU0MjKizs5OUw0TMH7xi19o/fr18nq9uu+++7RhwwbbiAnczP/0eDwmBsIcoqenR5lMxtTMlAxA8HwXARTvYuwsaaEisaD2zrPMvSIJgV1wVdNMRsrlclYrxYWJISU//vGP9YY3vMFKCCSgkswwhaSG9hbYEdgVyhb4OdMfjqCpWq2qt7fX7jOtcVDIbhIFWgdddnZ22ntFktLf329qeBgJnleuC9/vThuCWZqfn7dRiajZERAmk0mj1tk7UH+XSiVL0nnvQ6HQCyKwPtX1jEq0vv/97+urX/3qM/mRK+s5XrFYzOqPUJblctk23VNOOaWlzYAXmg2TeZ+gEKgnUBs1WlBNuVxu2RDZWAjSqHShyiQZSmpvb9cXvvAFScubZyaT0Tve8Q5deeWVFrgkGWJF2EKNMxKJmC0imzQ+u2zoqVTKPot6LXXpYrGoZDKp1atXWysCP0v7EpN03L7Ucrmsubk53X777fL5fHrsscf06le/2hAXGyCfwZQc111ocHDQUNz1119vLUIosqlrI9Ti/AheID4U4QwlJ7C7Q+RJdFA102tLHU9aDhrf+973TFG7ceNGU5xjb4ntHp+7sLBgz1mhUDCRGu06tHFJB2fBUq+krlutVpVOp+34SVBoC4M2xraRf1DEcrzSMkNBuwje0gTH3t5e/eVf/qU6Ojp01lln2bPt9XotCXTduGZnZ/Xtb3/bggzHxrO8uLhoY+FI4FDRYv1ZKpUUi8UsGMFWkGRA7UObgywJuqBuF7HyrqAVADHzD+8p76zf79fY2Jh9JqwPQRtxF4QorTsE+3379und7363PvShD2l0dLSlRn64rWc0uF5yySV605ve9Ex+5Mp6HiwQi+t+A2KrVCo2lYZxYog22KSohdXr9ZasemZmpkVwgnm+S6tRX2IzxdEFxxt3Yx4ZGdFll11mKkh6ZOkvJfAjDEH9WSgULMsGhdIw39bWZlN/ELeAGhYXF612hxAHj15JZmSPIQEo2DX0RwTVaDR02mmnqbu7W319fZIOov1SqWT9luVyWbt377b6GskBCU13d7fOPPNMa51hZm6tVtMdd9yhSCRimyn362tf+5quuuoqq/NNTk4a5d3R0aFYLKZEIiFJLe0qbhsGClREMj6fTx/5yEesRsp1pR8VGpSAwJ9p+0LMRNsM4+ao1aJyJQBAU0qyUgQUOUEIJMZ9w+vXpaeh5DFC6evrM0tC3Kz4veOPP16XXXaZHYck3X333frYxz5mAYZB59lsVl/5ylfMTpTaO0kkvtUkgNJySYJ2IRAtx07CReDq7e21UXEkL7ROkThhQ7pnzx5Vq1VNTU3ZuwS7QUmlXq8rGAzq8ssv1yOPPGKJAG1Rg4ODNiqOwM77VS6XDfmiPaAEQUCXlkdGYst4OK6nRQs/cT388MPP5MetrOfBouZCxk9Q4AUvl8uGkmhUJ6slkEFxglKgyHw+n6688kpdcMEFGhwclM/nM1EIG0U6nTb0B13GxoVhPlZyWK1hqnD00UdbKwh0NH24iKTYWFhua4Bbk5yenlatVrONxJ3MwzAA0BvDqgnCUNAg9bm5OXV1dZmnMr8LRZ1KpfSDH/zAKGCGxSPS4XpDvbMhM8prYGDAJtEg1MlkMrrlllu0ceNGC7xsxN/73vckSWeddZYCgYAGBgasVxOlKAPMXZEZgaGrq8tquNS+oQw5DgRw/EMrCHZ9CHPc9h13cMLMzIxuv/12/eZv/qZqtZpZ9XV0dNjg7UZj2doxmUxazRY1LG0uTNkhQcDUIZVK2Xe7qnFQNN6+GGsgoFtcXLRa7tLSktasWaN3vOMdpnaPxWKan59Xb2+vrrnmGs3MzFiw4RwlPQk91+t1JRIJeTwesxwlUaD1incTBoMEBYSJTgEhU1vb8mAL1/KTZ5/kl2Sju7tbuVzOppxdffXVJkKkhNLR0aFwOKypqSmrE6NN4L10ldacN+tFL3qRMUKH43pagqaV9cuvF6qgaXFxUTfffLPGxsasIR/EkcvlWozSUZK6f0cdCvqNlw8EIMnaR9rb280aj55WAjUuUc1mU7t27dKqVata6C8miSCmArGyqWMmDgIHDXFcULAEU4wupINmAaByBpXTPkF/YTwet9pWJBKxgAjKhlZsa2sz5S4bOspRKHYCCAgA1Wd3d7ceeughLSws6Oijj5YkCxRQ5pIM1UJdkygQTLq7u5VOpxWLxZTNZg0pgmCgVblH1CojkYjN6iTIxmIxm17j1u+4nvg106sJfS3JEJgkS8J4PmAp+vr6lM/nLUi0t7ebXSLBmaQOMwYCDIyH1+u15wIUxz+oaev1ugKBQMv4PEmWEPT09FiwIAGAZQGNgvgpW2CQQsCBFSEQwoCQHNBPyvfxDnBPuQ98P9ePezo3N2ce1fRTo9jnOZmfn1c8HtfExISxCSigofVpy0mn0zYasKury7QV5XJZqVRKpVLJmKhEImFmGrwz3Euub7PZ1Pj4uO69915987/+S//2uc/pnPPO09DQ0DO/ef0K1lPZxw+JFr7uuuv005/+1P78mc98Rlu3btVFF13UMibrUNcVV1yhM888U7FYTB6PR9u3b3/Sz9Trdb397W9XLBZTb2+vLrzwQhsAzLryyiu1ceNGHXHEEbrqqqta/t/+/ft13nnnqbu7W8lkUu95z3uMxmTdfPPN2rZtmzo6OrR+/Xp9+ctfbvn/F198sT70oQ897fN9Pi+fz6dUKmXowlUH0rNGTYleVwIjWfHMzIxRxQRV5nyygaJSpWEeSonNOx6P2+YwNDRkilK3FQahiGv9B9KlHYhAR52RY0FQgj0cszJBbB6PR5OTkyaoQSzESiaTLSYZuVzOkCi1SQQhnC+b4fz8vCYnJ406ZpPP5/M25s/n89l8V+q6IHvXpxcKkPN0B6nPzMyYO9Ts7GxLrzAbORs21wTk3Nvba+pU1/OYZMY10o9GozbaDGSNBV8oFDKam/9G/OK2kvDsca9BPCQBBEbQJcfIs8AQBlqtUCNzPgQ//iEYc7/cflhKDwQSJrpgT0lQpJ6KMp5nmACD9SKtPj6fT8Fg0AIrpZDFxUWFQiF7BhECcr1JIG666SZLEJkY1GgsezxXq1UNDw9bEgUyZTGwHeRNjzmqdL/fb2Is+tcbjYYymYzRu5jAcC4kCqBe9oBwOKy2UkmrfvQjbfu3f9Mb/vVf9eXLL1dT0lve+lYNHnmkdNJJ0tvfLn31q9LjNeYX+jqk4Pqe97zHiuw7duzQu971Lp177rnau3ev3vnOdz7tg6rVajr11FP1sY997P/6M+94xzv0gx/8QJdffrluueUWTUxM6NWvfrX9/7m5Ob397W/XZZddpk9/+tN629ve1tJzd95552l+fl633367vvKVr+jLX/6y/vZv/9Z+f+/evTrvvPN0xhlnaPv27fr//r//T3/0R3+kH/7wh0/7/F5oC99PECvBAmqzt7fXgqIkqylOTU0pl8uZUAKVLmPqoCZRbIK6UD82Gg1dc801+vnPfy5JRu8mk0kFAgGrk4I0SQDYiPx+vxKJhFHFrlE9Gy+bHyiFQIPSmKb6UqlkI9eq1aoqlUqLIEQ6SJlzDpLMBainp8emioBmUVqGw2GNj4+3+DaTDICgMNonUFSrVUNCJDWSDMHhRjQ4OGjK5kgkYvQh4hvUp6Be2qBgCfB4lmQbeTgcNvUthvhs/LRJUWOlFofYJZPJqFqtamxszNA7x5pIJFSr1exZgf7mOAhgDDonwNOWBF3PdSLxQp1KwgAtT52VZI7kjGMPBoNGoXd2dioej6tQKGh0dLSl/QcKls+ndklZpLu72xiLoaEh3XbbbZqcnFSlUtGBAwdakjSe0Xq9/qSEB9TMnNgjjzzSmAbX4jISiVhZhX5nV2UNBd/b22vvDRQuSQffsX79ehtH6PUuz2hGzEdfOIYxuVzOrECh/cO7dunIj3xEZ7/lLTrxK19Rcu9e1dav1943v1nb/+zP9Mi7363m+98vrV8v3XSTdPHF0uCg9Kd/Kr3AJ6wdEi3c29urBx54QKtXr9aHPvQhPfDAA/r2t7+te+65R+eee66mpqaekYMbHR3VmjVrdO+992rr1q329+VyWYlEQt/4xjf0O7/zO5KW671HHXWU7rjjDp100kmqVCrasmWLbcwnnHCC7r//fgUCAV177bU6//zzNTExYY36n/vc53TJJZcYRXbJJZfo6quv1gMPPGDf+9rXvlalUknXXXedpGXkyjX4n9YLlRaWljfVH/zgB5qamlI0GjU3lWKxaBun23aDwhZqidpfKpUylAWaZON06zNk5zMzM9ZWQvAAqQSDQXN5GR8fV19fXwu1Sp9evV5XPB63eiQb7s9+9jONjIwYtcxmwutAMKDFgQSDAIgtXygUsgAHDYZiktYiDCuggQnmbvCZm5szowCQIWiTIAMtuWPHDrMH9Hg82rVrl6ampnTBBRfYu4HydHZ2VolEwgzaaaEAsSAmcS0GJVnAJUik02nb2AOBgLXQLC0t2eeBjEBBExMT6u7uNrTc1tamyclJLS4uWi2SYOT1etXf3690Oi2Px6NUKmXMBQPvMVlAeCbJkgTQM0gTQQ5JiNvOAo1MUKO27fV6bUYptDjU/OzsrNlU+nw+808eHh5WJpMx+0H8ghEGIRJzkTXPAtQp743X69Xu3buNrQiHwxYweQ6pQdM/imgN1Ax6RX1PnTaRSFhCSVsWPbP4NxeLRT388MPatGmTaQa4n5R6QO8wACQjJLCYjTQKBW34t3/Tmhtu0HQioUdf/nJNnn22Zh/vxeVdjcfjOu200w4KncbHpc9/fvmfTEZ697ulv/s7ydFFPJfrV04Ls/FJ0g033KAzzzxTkqzJ/Fe9fvGLX2hhYaHFSebII4/UyMiI7rjjDklSMBjUm970JvX392tgYEBve9vbbIO84447dMwxx1hglZbFHJVKxazf7rjjjpbP52f4/F+nBYVKu8cT2yKgk+bm5qyvE+RGABkYGDBKmHoQtSbsCUFtbA49PT3aunWrVq1aZWiOHkqcb2ZnZ21mKK4+ULwuBQ3iZnM74YQTTBwUiURM5cjILeqHqB2hAEET9HQiUMFAH1oQei2dTlsgcl2N2MxdOpWAx/lHo9GWeh503NDQkOLxuDkQrVmzRuvWrTPk4Jo8dHd3a2xsrGXWJ/VMzD9cxgGVKX2w1Py4j7QPESw6OzuVyWRULBbN1lGSWRFKMpZienpafX19huJIdgYGBqxHulwua//+/ZqamtKjjz6qfD7fMqWFUgATYuiXZEYpSt7u7m6rHZMguOpijo0aKSbyBDWodIIP1w2zCb4P9gGmhVmx1Mnb29vNNIJaaKlU0q5duyQdVJTzfAWDQbO75P0i4cMkQpKVOHp7e+2e05bTaDTs2YYWx4oTERulE95VkoBjjz3W9BIkCGgtSHb4PerGvMeg68ZNN+mUP/kTDd56q378u7+r6z79aY297nUqP/5OjI+P27syMjLSoiDW4OByMN23T/rwh6V/+Rdp2zbp/vuf8X3tV70OKbieeuqpeuc736m///u/1913363zzjtPkrRr165npTDNdBRqAqxUKtWCmj/4wQ8ql8spn8/rve99b8vvu4GV3+X//b9+Bj9RSfryl7982NdcJbXY8SUSCcuKqTPm83nbyGKxmDnYSGqh96gDIoahrQP069a/oMao3RCwXKN8VMEgAhAISAgTCtofMHegdw/jA2mZ2gWF5nI5Q6aRSESxWMzMMRDcYMXntuRQl4S+lg4iQP4bpx7Ux4888oidT3d3t/r7+02RWyqVzE0JJSYoGvU2xzgyMmLHDEWbzWbN1B3UAerGDahSqSibzWp2dlavf/3rdeGFFxpalGRJCRtpLBaz76CWms1mLdCEw2GrvyFgazQaNkbt9ttvN2TJfSJRmpyc1NTUlN71rnfpm9/8pvVI0yrV3t5uLTEIpJLJZIulJepaj8ejRx55xIQ6BGFXwU29EPS4tLRkVooonqmVIwjCYQulLwmT29MKBYtQj2SN74rFYorFYqZBINmQZIPJKRvQFoN2gHeJdwHbR6/Xa8dGcgArIsmOF0Ei9X9o5d7eXiWTSQuSIFIS4ZmZGTO2oEaczWat7g1y7r7xRr3sYx/TRGen3vriF+vyWEwTU1OWTNPrOjY2ZrqC/8umI/3VX0n33CN1dEinnSbdfvszvbX9StchBddPf/rTamtr07e//W199rOfNZrw2muv1dlnn/2UPuvrX/+6bUq9vb269dZbD+WQ/q+LJuZne83MzGhqakoTExMaGxvT+Pj4s34Mz9RCvDMxMWG2g64HMHQntVhXZUlWzkbgKkMTiYShYnpoC4WCDexmwyMYgYrwN25ra7NA745rQ7CDs1A4HFZ7e7vi8bj1TVL7BC2Vy2W9613vUrPZ1ODgoNG6uVzO2kxQRCOogdqlvlUqlayvUZKJlUDObE5YFkoy20gCULFYNDTAtUf4w+dxbQ8cONBSk4vH41ZXnZ+fNzMItwWKhAaVKCjX9daF+uQcQP/0GyNEY7NOJpNmKiLJqEMCLMnH1NSUMQUEEWheqMlHH31U0rKoUVoONgjoaKFx5wtLy8wJdVWQWL1e19q1a62mTa2cpItricHJ3NycCoWC+Qm7jAG1YkkWSDDSL5fL1m4UjUatjsw1l2QBeHFx0YI802lIFqnrwuDQh0tQhtbluZUOTqxyEwLuLTS4JHu3enp67N3AB9rv91tJxUXI7JkuE7K4uGjvGLqJ6elpS0YT27frlE9+Uo8eeaSOnpjQf9x0kz772c+aX7K0zGhs2LDBEqonTlZ70tq8WfrJT6StW6VzzlkOts+DNT4+rrGxMU1MTGjq8eThieuQ+lxHRkaepL6VpH/+539+yp/1yle+UieeeKL9+ZeZjtDX12fji1z0imz8l/n9u+++u+XvUBrz+319fU9SH+P84vZq/d/WO9/5Tv3bv/3b//hzL4Tl8Xg0MjJimza2hdjtucb11EHZVCcnJxWJRCwz535BIZLZgwJQULJRggKhnKjr0I4hLdd+QQD06kEFMkAbw4uFhQUlEgkVCgXrp6UO/IEPfMDaDHCFcluKPB6P4vG4KeJdGpv6IR6q0WjUTBVotaH+Sn2XkW0EJTZOkIjb+0p9i/qa1+vVunXrLDAgLDlw4IBtlm4bTjabNfMMjhOE1dXVpb6+Pv3nf/6nXTvQjN/vt9oeDkds+vTo0nOKIMjt8ZycnLQWDCbYcO7MHHURGCpjSSZOIzi4phk8FzxXDExwFbE9PT268sordf7555tADOqflim3TaWnp0cTExPq6+uzcYQgMlgrhHzXX3+9zjnnHHV2diqdThtC7u3ttQDKs0ld9NFHH9XPfvYz/f7v/76kZU9qGBWSJIIZKnwSjyeOE6Q2LR0clIFSPZvNGrIlqNOTTO0eipjkmNp5rVbT1NSUYrGYMUYMr8D0gvMj4IZCIflzOW35yEe0b8MGfek3f1MLjlalVqspFosZJd3f36/BwUGr4f+PKxCQfvAD6Td/U7rwQmnHDulx4d1ztTZt2tTy57e+9a367Gc/2/J3h2wisbi4qO9973t66KGHJEmbN2/WK1/5ylb+/JdY9JU9lXX88cfL7/frxhtv1IUXXihJeuSRR7R//36dfPLJ/+Pvn3zyyfqHf/gHZTIZJZNJSdL111+vYDBoF+3kk0/WNddc0/J7119//S/1+ZL0iU98Qn/1V38lSUazPfGGvJBWW1ubUYUYs6OOhWrEKYa+QjbjtWvXmko1m81qYGDA0BH/TExMaGhoqGVCDAGOWmu1WlU8HrcNhhaOSCRi/r3UY0ERs7OzGhwc1J49e2yyB6hucnLSNhuci6rVqgXqfD5vauJoNGq0sltXhjZE/AQdS7Clh5JWC2z0oCrj8XiLLSPJAZsXohiPx6NgMGgZPw5J9XrdqL35+XlNTEyoVCpp48aNZu6AwxI9s9R9mQYDkuZ82NCpE0qyNqNgMGj1R1A5iQybNveHWaiRSMQ8gwcHBw1RkYiAJIPBoE466SRz2SLg8N+UD6hJo2ymlSQajZqS9brrrlNPT4+OPvpoq4H6/X5jAXbt2mVG9gRsBDZcA1AjrTWUM2ZnZ3XqqadaTTKZTFowddEmJRDuWV9fn171qle1iGEYTE5wc5XZ1HAx50csBGNC4sZ9wDyDQRfUVl3nMfYi3lXaojgGEjzKMQjtqLmSwMIozMzMaK5e1+ZPfUrNtjbd+sd/rNjcnN74xjfquuuu0wUXXKBwOGz3RpIlmIlEwjyY/8cVCEj/9V/Sli3SJZdIn/nM093SntbauXOnMQGSWpJC1iEF18cee0znnnuuxsfHdcQRR0iSPvrRj2p4eFhXX3211q1b9zQOezmj279/vyYmJiQtB05pGU1i9PzmN79Z73znOxWNRhUMBvXnf/7nOvnkk3XSSSf9j59/5plnatOmTXr961+vf/qnf9LU1JTe//736+1vf7vd7Le+9a369Kc/rfe+9736wz/8Q91000361re+pauvvvqXOgdobtazIfT6VS4yTEwU6L2DEqWWiGCIzP+EE07QzMyMarWa9u3bp6OPPlqlUsk+j82Btg4CI7UrrAQRlkCXQgszrBuqDgOAmZkZVSoVDQwMKJ/PKxaLmaAEEwlM6yXZ6DVmc7ruNTg0kbmHQiFrAQEZkmRUKhWtXbvWWkKGhoY0Pj6uWq2mSCRihvLpdFrhcNhquQiwqNEy+zMUCikUCpkFYywWM8MLLAxxSQqFQjr66KM1NTWlSqWicDisUChkGyRMAAGqo6NDjz76qAleqD+DjrnmXq9XO3fuVCqVMtRHaYB7UqlU7HnnfoDi2Pi5zpjg81kkY4jWuM4EKRe1Mm6PgIwrWDweN9q30WjoS1/6kqRlv3OSCbe/mHo5LlmgZ76XP2MlSECjdYlkkaQSMRUI3+v1as+ePdq0aZM9syRbsBIIq6hNSzKLQQIRpQ3aXcrlsv2+dHDsIteMHm6OF9MOLExR2pfLZfn9fvOoprRAKYf303UzwxTDpcbb29uVvOUWrbrvPt3w9rera2hIW3p61N/fr1gsplWrVrUM2kBhzfB6mIdfaq1bJ/3jP0p/8RfSRRdJL37xL/+7z/AaHBz81aiF/+Iv/kLr1q3TgQMHdM899+iee+7R/v37tWbNGv3FX/zFIR2su6688kodd9xxJpR67Wtfq+OOO06f+9zn7Gf++Z//Weeff74uvPBCnXbaaerr67M6zf+0fD6frrrqKvl8Pp188sn6gz/4A73hDW/Q//pf/8t+Zs2aNbr66qt1/fXX69hjj9UnP/lJfeELX9BZZ531tM/vhbji8bgGBwetjoeSFdUfggkybzbMQqGgbDarnp4ebd682WpYUKn8g20ek2hQ/FKvJXBCQUsHVai4AtECEwgEbL4owiP+XlpuA7jvvvtahqEzb5M6rCSjnxcWFgzRQkfn83nl83mrBaNSZZwcv5vJZNTV1WVCHo59cXHRjAio/0G733DDDSoUCkYfs3lD07GhQgdOT0+b+EeSVq1apc7OThOisKkSuEgwmCTDxgzNjRIXMVU2m9XVV19twZC/p77t9XptJKE7dYYWJ1pKUAhjwsF1cE3jS6WStcOB+qGmSWjYmEFbJFQgxc7OTn384x/XFVdcYQFSkj1z1KeZ3sIUJLdvEyciEDNJ9/j4uMLh8JM8fanJMvuXCUs8o4lEwgR0S0tLJgDknuMkxfPw4IMPanx8XM1m094f2m+4XqB6enoXFhZsdjDPjmsSgWEHSmCEoTMzM6abwCQExMt3SLLWLbcn1u/3a8OVV2pqyxYVTjvNSgBdXV1as2aNgsGgKbYTiYTC4bAymYw6OjoObUD6298ubdokHUIJ8tleh9Tn2tPTozvvvFPHHHNMy9/fd999evGLX2xKxpV1cL2Q+1ylZdXoLbfcYlNU3IHWbW1tNiQbdSpU1NTUlCFMBCy0GVDHpBZTrVb16KOP6pZbbtH73/9+U/lSQ6K9hA2DNhYQR19fn6GQWq1mCmKCQVtbmymCd+3apWQyaWIN+viy2WyLDy6GFiAN6EJqYvwMQQUKmOAEjYbCE8Uo1DK1xra2NqVSKS0sLOi73/2uXv7ylysUClkdOxgM2pAEKFxQTb1eVyaTUW9vrxKJhJrNpgKBgM31BNnwz2OPPab+/n6r97omAXjy0sYBnf25z31O1157rW644QZrMXKdk9yhBmz2qHhpnQGZQ/NCd4PCJFkN0OfzmXEHGzxzTN1Wq2w2q1AoZI5TrHA4rH379hkdzbNE2xiMAQEEWpvgffPNN+vss8+2IM65kMzBLmBIgdVgs9k0VFitVg2xY6zAEHZcpaDX3YDb3t5uwjjQP88/nwVT0mg0dNddd2loaEirV682BgLKnWQWOpznFhvESCSiRx99VENDQwoEAvrZz35mk5+8Xq/Np0VgyPFKj5f0du3SSX/2Z/rJu96l/Vu3WvBllivlEWjT/fv3m6HJS17ykl9KI/Ok9ZnPSH/5l9LoqPQs2yb+yvtckfE/ceHgsrIOvwUyo+6GnVwgELCJKWzuLhKA1gU9uNNTQJZs4O3t7YpEIjrqqKOszkQ7Cn2h2CgiUEGxXCgU7GVGyCPJqMP29nZNTEyYk83Q0JAFfGqbrpcuatGuri5rQ4Fi3b9/vwmwXGs7kg3oNoIj1w/kAEKmPYV+VZycLrroIrOWBC1KsjYn6q2SbB5uIpGwwDE7O6tardYyWo7rXCwW1dfXZwpgt2ZKTyyq1b1792rfvn1aWlrSRRddpHPOOcdUuaAjfhfKD3csrg1tOwQo0BjJBrQz6NNVkWNHSK04Ho/bZxNgmZrE80NgB5V1dXXpwQcfNEaBCTS0lIB06TPFsWn16tVW7ybBIRlwLR+xKWxrWx7LWCwWbZZuf3+/JQt4S1MCoe+X60DNFqTqOlth/cn5Tk9PWyLj9Xq1efNmxeNx1Wo17d+/X7feequpw1E8o1+g3BIIBKyks2bNGpVKJU1MTGjr1q3yeDw2hYeWMZJUabk1j/rvyI03ajaRUOaEExQOh03chviLoezSMqpfvXq1PB6P+vv7bW94yuv1r5e6upatEp/H65CC6/nnn68//uM/1l133WUv7p133qm3vvWteuUrX/lMH+PKep6skZERhcNhEypBJ9VqNaNNqf+BTDBDCIVCplxEJQmViTrS5/Np9erVOv3005XJZAw9IVyiBUeS+Rkjkunv728xh2cToTfS7/fbRBg2HXpdUVFSQ5VkAb1Wq2lsbEy7d+/Wzp071dHRof7+fj344IPatWuXiX5APmTtkqwmCh1LfRiTgJ6eHqvNsgHmcjmVy2WraRG4XUrVrdHt27fPsumuri6bswpFjEk8CCISiRgaoc7GyMCZmRmtXr3aEhT6mnO5nLq7u/Unf/InLVaWiFoQYC0uLtrAcq7J9PS01U137NhhiAia1xWvUVckYUCsBR1PcAu2GgAAmuJJREFUQiLJavuIuaBFUVq7Rh5r1641pyMoUcYc1mo1q9E3m8tDwsfHxzU0NGT1SVrCELORUDANB7FPOBy2c3eDUrFYtNosySCBjmeboI5anutDu0w8Hrfnh7JAqVTSeeedp2g0aqK8DRs2aNu2bSZMIinlHtMOBwLlvaMfHTcndBIkUrS2wfTgvhbYsUPpLVvkc0xO3Gc8lUqpWq1akJ2fn1csFrPrdkgrGJROOUV6nhv6HFJw/dd//VetW7dOJ598sk3SOOWUU7R+/Xpdeumlz/QxrqznyULpKsk2PDxKyUKhzGA2IpGI/H6/stmsSfjpKUSpiyKX+h3DFNy/wzAdoQU/x2YP9ciGTH8j1oTUbxGLEHAQfEgylEm9qVar6aabbtLXv/51ffjDH9Y999xjRvh/+7d/q/e85z3WE4jgCPs9aqXUa1HNuuIXNiOM/kulkn74wx8apU5PLJNcOD4GGHi9Xm3dutWUwBjOc96oWUEU+AS7NW2SCNePGKUwx4lZCL8LSoROBR25dokPPfSQjc+DSsfClLru4uKiMplMS2uHyxygIqdO6E5Gcuu2sCps2Ih3UH2TpGUyGUPv0WjUxFQENOrTiJw8Ho/S6bT18ELp84wg4EKo5AYtBF2NRkPRaFRtbW3KZDJWDpicnLQeZD4L9b1bG5+bmzMTD+rDOIoh+HQHUOC8BdtB4kZSwPFh7p/JZA620zyejHi9XhMxkSjzfkciEUtIOpaW1LN3r2pHHmllHXrVSbQxVyG5nJ6eVqFQMJ/tQ17HHy/94heH/vvPwjqk4BoOh/X9739fu3bt0uWXX67LL79cu3bt0ne/+92WusfKOrwWPrHpdNpQVb1eN5cfapXUP91A3Gw2Db3i8MKGARru6uoyCz8CC6pWnJjY/FBCumKcRqNhfZQgXUZ8odJEdUqgAS25tm4c7/j4uHbs2KGf/vSn2rdvnz796U/rwIEDkpZNDq644goTQxFsCHLQ1xdffLGuv/56ozwRH9FDjckJG/2ZZ55p9BvWekwwyWQyOu+880yMAtJyN856va7R0VEVi0VrE3CntWDuwDxOXIdA+bOzs5bUQH/n83ml02kT0xBUCADQogTaUqmko446ytAn/aigGqwi8fAlwDebTUtQ6Mml1kiyIslaptwWGu4fz8RDDz2kdDptJYp6vW5zat3xa8lk0gCCx+MxZEydl2SMZNK1EiSZgy3hGjAJhoQDJiMYDNr+iHCPcyuXy5a4uK5mo6OjJkwj8aA/dNOmTbrmmmtabCHp0aWcwHMBW8FYRAZU8N+uNziMExoKTDS4PiD6jr175V1cVHHNGksScKBaWlpSIpGwbg56YhGS/XetK09pbdsmTU4u+w8/T9chBVdJ+uIXv6gLLrhAr3nNa/Sa17xGF1xwgb7whS88k8e2sp5nyzVEwK2HhW1fvV7XgQMHjIajRsdG7vP5FI1GrZ8QlS62eih7XTcd6ENotlKpZMgVf1mcfqC02KSo+0EF5/N5lUolPfbYY5aNIyhx0Ri02hOb3F3T8mAwaJtovV7X3r17tX//fi0uLlpd8xOf+IROP/10U1J7PB7l83lDE/jBYuWIZgFREdZ41Hz/5V/+RW1tbRoeHrZ2EByj2MwZkIC9XaVSafEbdsVNtP64lGk4HNZ9991n6LC7u1sjIyM2eBy1Z7VaNSRDQkFdmWTI7WPkdycnJyXJHKtcr2rcqrAnpHZIKYE6ZSgUsnYr7hHXg0HjHDvuSSBa1/AEqpPP9Pl8dp5c9/7+fkOZ0PXQpiR2BBAMIzCWQNxGbRc2A5qXMgfWn7SHIfRi6ALPPckRKBH7yUqlonq9bgp0WuV4trLZrLW4oaynLloqlex6k+SgqKYLANp9586dB0WFo6OSpEVHdIbqORqNanp6WtlsVrVaTYFAQIVCwRIHhF6HvB7XechxRHu+rUPqc/3bv/1bfepTn7LeUmnZ6P4d73iH9u/f39LSsrIOnwUiRbTQ0dGhVCplaK1Wq5nCE/oMhEtWPjc3Z6bwtMEQhN0eP2pOvNj0ahKgESbt2bNHq1at0uLiovL5vHK5nIaGhhQOh030A1rB0Bzqi42E76MlAgOAVCqlY489VrlcTlNTU3rpS1+q/v5+69kDCdP2wGYJ3Tw7O2sBnIZ72jKYdoOKGbRGPRv17RNRE0hekolbQOAgIRexoFCVDlrZjY2N2aSg/v5+Q+uYR8zMzNgg7cHBQQuyKG4Rb3k8HpVKJaOPQeaSLDmiXxZaH+RG7dCtvfKMIe6p1Wrm7+31LnsQoxBn06fnlN+npoitJOpY6NFGo6F7771Xq1evtj8vLS3PkO3s7FShUDBFsCQzp8jn8yqXyy2m/qjfEZTt2bPHaowkheFwWKVSyVTyeFcvLS2pr6/PXKoIhng2IxxEiIRzlmtMwj1FiwDdj6iKdzSbzVq/6sLCgvr7+1WpVNTX16fOzk6zfEQFTL0auhmGolqtat26dcYihB+nnhuPP1fUWpki5L7HsFicy1M1G3rS4vedBP/5tg4puH72s5/Vv//7v+t1r3ud/d0rX/lKbdmyRX/+53++ElwP44UgBtrTrQXG4/GWjYkAIh2skdLeQW2ot7dXjz32mJrNptn5EazS6bSWlpY0MDBgrQNsyNS4Nm7caNQwoiJqSpFIxIIfohOCGe0Y9AZCIxPUaN9Ys2aNmdlD63EuiIc4FvohCWzSwfoiQifXcam9vV19fX32Z/dzyuWyjTVza8qcE4kHNWs+F7EONTcoY2wPg8GgiXU8Ho8KhYJtugSbubk5nXHGGYbKcFtCCU57BwIV18eZhCCRSFgyEA6H7f9DWUoyuhYhFDVjLDZJfNiYCeAcE0rupaWlFjtNTE1I7Hgm+feWLVtMhEUApk5OUN67d6+OPfbYFqUvaB37Vfx6Ce6rV6+2hA0KF7U75+o+e/TdhsNhu2/hcNhKG+gBsEiEVSH4YTl5zDHH2EhHRt5BI1cqFbPO5N3DUpKWNp57qF2ebZIH1NSIAK03+XEr07liUYuPD6InuXF7j2nL4R6kUqmnV2+VpMf3HP0SVrTP1TokWnhhYUEvetGLnvT3xx9/vGWQK+vwXNSa3Kknfr9fgUCgxYuZDZ2NFFUtPX5r1661TSeRSCiVShmahK6iTgfFicev22cHfXfgwAHzLaaGlMvlNDo6aspKMnSEUfV63WwPJVnQppYWDofNHD6VSllt1p0+Qw2ZOhU1PwIwmxHDB1BPQ8XSGkJ9i/aLUCiktWvXamlpSTt37jR0QpIBiuHasPmz8UKdU0ut1+sqlUo2vN5F7FwP6ms4GCFy6ezsbJmGQ/KDqvfHP/6xtm/fbuPaoAcJetTvXIRJgCYguyppkDzXBU9ogg01eURX0OuuNSC1f1A+fwYBj4+PGy3stoURADdu3GhoEAoWEwQCEscJa8J3UL8FwUnLtfWenh7t2LFDtVpNoVCohd1hShDjCWmpwpsZNTF0MawAx+7afdKPS5KFipqaNcwK3wObgB7B1SeAwLu6umzgAmWI7OO/1/N4uxb3Y2lpSVNTUybMI9BKUi6Xe2YGqezcuTzj9Vnuc30q65CC6+tf//onmRRL0uc//3kzpV5Zh+eiDsSLTp2IuhyZOBQnyOKaa67Rvffea5spqJTpHN3d3dY7SIAlcBFoFxcXjQalRsjnDw8PtyBbEBRmF8Vi0Tb3jo4OjY2NmdCJ36FpHhqVFpQNGzbYHNeuri7r86WnkkDnKqgR+RDEUOSGQiFDF9SiEeYgzgFls1GuXbvWVMAcA+44hULBNnPESEwueuCBB0xMFQ6HTbktyQwuXOQ3MTFhdDf1RMRUJFMMD3frgS972ct06qmnWv0W6px5qIipJFmdHoQDgma4QyQSMRMSWpkCgYC5GxFMcLsCgWIUQoAkMBYKhZaeW6hd17Ce4E3bFvaQ9JOSUEKLUwcH8fJeUOsEZYKyXVOT9773vZbU8P+pBdOn3N7erlwup1gsZokYSRWfTX1dkj0PMBMIwyTZOfX396tcLuuRRx6x5BOmQ1pmpDDswPjDNYxYXFy0liIm/xyYn9dMNKrhx81KpIN2jNStQdqbNm1SJBLR8PDwk0Z5HtL6xS+kY4+Vnop94rO8DvnIvvjFL+pHP/qRefnedddd2r9/v97whjfone98p/3cpz71qad/lCvrebPa2tq0YcMG/exnP2uh26Rl9xICFjUpXtLNmzcrGo3aXFHqTDgmobIkOFAvorUFX+DOzk5T1rrWfmxyZPnSsqqdzS4ajVpNi8CbTCZt4+XvyPRxBKJfb3Z21lTNOC6BjNiMOA63ZkUNEvWrOw6us7PT6p/UBplGs3fvXvn9fq1du9YCJ0gF2r1cLqunp8fQDkYOoVDIxqAxi3RhYUFTU1Pq6+trqZfSalMulzU4OKg77rhDfX196u/vN7Xs+Pi42UnOz88/yWzddQTCtQbmQpK16oCWoIcPHDhgfbFTU1NGXyKsYgIRKIz6NcwAtX7uTyAQMNOM2dlZm/VK4ASB+f1+DQ0NGUPAPYJhgBnA1H56elqrV6+23mAYBDyr3bYmEijKJdRNSRwuv/xyEwPyzGI2AgvEe1MoFCwQT0xMWEsPNoTU7mlrw0O4o6PDaqWcC5T7b/zGb9hzQimE68c7S8sYzzpCMhIz2mxisZgKa9eq85571Py93zNWx23torVIWhbp9ff3W6J1yGtpSbrzTul5bkV7SGf5wAMPaNu2bUokEtq9e7d2796teDyubdu26YEHHtC9996re++9V9u3b3+GD3dlPR8WBgjQoZVKRYVCQb29vRoYGFCz2dTv/M7v6PbbbzehzcDAgNWnaHqnb5bsXZIFClfAUy6XjbJF0MImjziJWh2CqbGxMUky2otext7eXtVqNW3YsMFqo/l83tAj4pOOjg4NDw+b3SCBZf/+/Ya6SApQT7o0uItoCBK0wLCRdXR02IY8OztrE2I8Ho+OOuooDQ0NGQLD/YngPDMzo3g8boMPaGvBqWdxcVFr1qzRmWeeaShKam0xede73qVyuWxDr11DAdAgSB01L5aBlUrFGAR3cgo0NzVFFspVzAzq9bo5LlEXpm8ZdE5goYXHdd5ioovrCkdZQZKJa+bn561VjOCAcQfoUVJL4gObkkwmW4wOqIsSyKHAeR4wU4FBiEQikmT1+3Q6bW5SsD5dXV1Kp9PGREgHJ+JwXAR3Rvjdd9991h7jHrc7oKDZbJoyGxRL8EXgxXAKmCHeq7179+q6664zsaHrOQ0zRTlh79atGnj0UQUebw3jfYQ9mpqakrSceBeLxac91EXS8nzX3buXx889j9cheQuvrKe+Xujewu5qNBq65557rM8SpTB1xKWlJT300EOKx+OG0Ghyx1QA2s/n82lyctKmlJC5Y1SOrJ+NDStD+g2R+LtTPHjBMYDv7e1tcZgBAY+NjZnKF+QZjUbN0J8NYnp6WolEwkaVnXzyydZf6hoZ0GISj8eNKoYeZuME1YPSe3p6zFkJJAzSolbMIPG2tjbt2LFDGzZssNYm0EupVFIqlTIqu62tzZTVkixoLS4uavv27YZOUWBDeboGDAT1cDis/fv3G0UPbc3m7LpAMe1mcXHR6tkEinw+b4YUtVpN6XTa6ngej8fs/WhZ4hq6SmA2+LVr15o6ncCLGQMUKoGJNizqlNVq1awsUYnzXaVSye479w1KnlqvJAv4lUrFqHw8gZnYQ7mB+j6mGVhe8gwTxBh+gPMVntIERJiGqakpxeNxe+Yx5YdtcHUK0McEc/4edoekhkAdjUathh2JROznME+h9k4CNFss6py3vEV7TjtND735zYrH49YyVK1WNT4+bpPM2tvb9YpXvOLQnZlYv/d70n33SQ89JD1dYdRTXL9yb+GV9eu9aFbH5k2SGT7Mzy+PITv11FO1atUqa91gZBs+wJJMwIEpPUgS2gm1Jw32bIzMDQ08rlAEHVerVVNFMi7N7Zn1+XxKJBIm2ojH42ZigAKV8wNdBQIBJZNJq+eOjIwYFUkgpN6VSqWMgltYWLDNGPEO6DocDpvQhc0SZE3gRXgVDoetp3Z+ft48bwl0zAoloEF/UlOkRQK1qiQde+yxSiQSqlarRnEzuUaSIWNUzlCzruEGXr3cI46RjXdkZMRYB2j9QCDQMmqMNiCQe71eVzqd1k033WTXG8TvIivarFzHrZ6eHk1NTemnP/2pJJnqFdaC2nKlUrFkTZIhK4Ir6FmSsSokagTCn//858pmsxodHbXWJ9cbGGoUlJ/JZGwUXDAYNISP05E7YYakgncKcRGmDz7f8sg29xzxY+ZYqc3SkoWugOfPHTIxPz9vyn9oZ5JMFL7cY4/Ho2uuuUY/+9nPLHlQZ6dGX/5yrfvxjxV8/HkiILe3t2vLli2KRCKamZnRhg0bnn5gvf9+6YorpD/902c9sD7VtRJcV9YhrVgsZlQh9TW3xxIa0HVVQiRChu7K8Rl9RhbebDat4Z9NAEcdgiXfHwgELCBKsk3XDSxQYdDJHBOqTZSStMzwu7gXMVFl6HF1Ips7yAY0gBE9wZfRc/x/V9DERhYIBKye56ptEe6QDLg1bAIsAqRUKqWZmRlJsjoXx8P5SzJ6m6CEwIuNGUFPT0+P4vG43TNqrlgg4sELKpqYmDB6uL19ee4n9nmusIw+TFpNpINlBtDQKaecYsdPgoIKmIH3GOkjoiqVStq8ebNe8pKXtAjCSMz4b7f+2NXVZQYRGFmQnEQiESsHzM3NKZFIaGxsTPl8XkNDQy1CJdAi4xepuTNYoq2tzYYuII7avn27JVwkaSSXrsEFDlOSTH3rOkBBPFKDnp2dVT6f13/+539a/Z93APqXujffHQqFNDIyYjoCnlfKFu73oXinljwzM6PHLrxQjY4OHf2//7cqj19j7hcqd5/Pd2gTcNy1sCC96U3SEUdIf/InT++znoW1ElxX1iGtzs5Obdq0Se3t7apUKtarSQ2QGh6UFt66BD36NSUZ8qLFwDWmp/eOf9ra2oy6Ijhg1A+deeedd6pYLJozTq1W0+TkpLUJ4PWLChYhDC0soD6oVNokJBn9CFJzezURyNAS5PYIoq6GTiZAujM+Uddi7zc9PW02cQQxhtAXi0UTWZEQEGxcZyOCNqPaCLzUprneWEVms1lDoNT+cOfhHvn9fn3oQx9SqVSyYEsiAfqn7cfdzAki9KLyWbg6uUkA9x0E7/a6MtKNEgDXlwSmUCjo0UcftR5WSSaOo2YPFU+pYXFx0XqkMd9wkydJOuKIIzQ8PKxkMmlIEQMUWmQ4JqhyEk6OkXouFqCIyzAuIbkCacbjcSu3wCLkcjlTjtN202g0DJEWi0VdeeWVlpRwTXO5nObm5lrsLqnDSrLyAsdCYgaL1Gw29ZWvfEWXXnqp6R86Ozs109Gh7W97m1I//7mGrrvO7h+J5RPVzYe8/uEflungL39ZeoKo7vm4VoLryjqk5Rpx0yLj8/mUTqetxvTE1hQoW2mZPoOSRd3outSwYbsjx9wAyIbBBsiL22w29cMf/lDT09Pq7e01p6WBgQHLpnt6ekxgQSM91C19sYipsPBz63j8PgGHAIcyGfTCBs7xtbUtj/oaGRmRpJZZsa6ylv5EjCHoS4SeRU0ryXoKqc0yGLunp8d6TKHpYBPYMEEv1A2h+Nnwqf3BEmQyGUOCl1xyiVKplI0edOt/tMlAv4LGqOtShw6FQnYdqZWSDFDjc0fE8TwwEJx6NyiTZKCjo0N9fX0mvCEAM7UmGAya+prJTDAXJFwwD8yLxcqwXC5bEA8Gg/rxj39slC+mKNJyMsS1cq1AMSFZs2aNJYuUToLBoGkK+C56x130Ho/H7fgxFHGdnjZt2qSrr77axsa5VqColql7o5lwhUu0iJG0MlihUqnot37rtyQtJ5nMh/X5fBo/7jjtPfNMnfDlL6v/5z83NgSDiuOPP/7pUcL//u/S3/2d9MEPSv+Nx8Lzca0Imp6ldTgJmlgzMzO66aabjE668cYbdemll+qyyy6zlgjaMKB83cycWiXIAaoSGgmU2dbWZqIkDA+gBnHmgc7CY5W2GWp0bj0Rwwt6HtmoCQwgblAdyIl2IL4byo1NC5QrLdPmtDNQK2RzCYfDymazZu3oZvRcJ46VViNqayBk6tvUxKjJUjdko0Uc5H4H5g0IfAgmIFvQGmgWx6hqtWrmEhx/IpFQo9FQNps1sUu1WrUZv5LMzMJFq6h8Caworefm5jQ+Pq5UKqXu7m5z8iLwcu5QuDfccIPOPfdcU66jIJdkSLtSqVi5goSJwM3wcpiFtrY2U6dTGiBwudce0Q/PYlvb8tSb+fl5szXk+ac2TgAHHeNxDKInAZucnLQe5lgsZgwJanZ3LB8GLtiH0m4EM8HAdJIE2sAYA5dMJk1NDoXdbDZbmACSQ3QL4+Pj9rOzs7O6//77ddJJJykVi2nz3/+94rffrnv/7M+UOessK0OcfPLJpp5+SmtpSfrUp6R3v1v6sz+T/vVfn9Na64qgaWU9Kwv0CqI77bTT9I1vfMMmbzD9gj+7oideVMZ5SbLg4Er5BwYGbHIJqG1iYsKya76bIEEQaTQaKhQKVs8EEUvLaO/nP/+53vzmN5txhNui4NaKEYCATkB4tGIgXIE2QxkJYiG7d1tLMBtAOOI65xD0XJo1kUhYy0q5XLb6K/UwqG/oaMwn2MSxdyTISzL0C31PjRTzCBAp9HkoFFIsFjOVbDgc1qpVqyQtI91EIqFIJKJkMtky15YAIKnFfg9xG7VQhs8zn1eSKW8lae/evdZPnEwm1d/fr8cee0wnnniiAoGA0eGulzXsAfVcnoVqtap8Pm/XPJlMWv0StTA0ZrPZ1P79+zU9Pa1KpaLvfve7Ouuss9TR0aFYLGboGEesaDQqr9driQKtO1D9rqKZvl+Cmdv3iksWzwOsAQkoyRp1TddrGDU+14uBGCQLPKuuMIpAwbQg3gESrZmZGQvIKIzD4bDy+bwuvfTSZWOORkN3veMdmnjZy3T8pZfq+I9/XG3FopmuPOW1b5905pnLgfV973vOA+tTXSvI9VlahyNylaTx8XH94he/sP5RzAlwsSHbRgCVTqfN0YkNgRoSdCRTTaCqeLkxPQ8EAiaQwUTBbYxH5EKNijolBheIZfbv369UKqWhoSHl83kTftRqNfX39xsipT0C2pTNmkTB9aZlwwRp3nvvvVpaWrIB1tDbpVLJ6Gg+e3p6WuvXrzfECDrg86n7uu0wBD/qra4ZAXRqIBCwTRNB1OzsrDKZjG3QoDPoaRB8JpOxujCUJSiUBAklLnaQJEmSbMgDSEtaRu5YGSICctkNFgpeglMkElHx8c3aTVwImtR1KVNgds/9hgmJxWKqVquGyqD9oWLp7+VZoa2IJCudTuvII480dMhzz7mT9Lhey9SZ4/G4zVCF9UAlTH04l8uZWxJtZ9C3zKfFbrO3t1eTk5NW/2T8nSSjvROJhNG6pVLJ+qFB4JJMxOTaj3Ite3p6dP/992vr1q02jB5qv7OzU8Vi0VCx1+uV1+PRtl27tOoTn1DT41HxTW9S31//9cFJNv/TGhuTPv956V/+RQqFpC984XljGLGCXFfWs7ai0aiJFhD0SLI2j3Q6bbTi4uKiRkZGDMESrEBRDPRm84OWwp6vXC7bRkFNl94/0Ke7SROQEZj09vYqlUqZu01/f7/e8IY3mOEEKAFK20UXUKyYJ4CMQLjQmkyQYUNcs2aNtm7dai0vIAf6GpklimdrpVIxZA5qBt2DehhNhykHfZqIW6ibgW5cFawrnKL++OCDD2rPnj2m5mVUGH28IGjOkwHn1IpBv6B1EgiupyRDwY1GQ6VSSZlMRvV63equk5OTlsxgsCHJNn/O0x1kDpWNiYO0nHjkcjlJMup+cnLSnkeCED3Y3FfQGh7ABEiebZA97VwI+CTZtWUWLK1huE1JB9u7xsfHddVVV7Vct7m5OTOXcFuy3GRhamrKauCMjAOV9vX1WW11YWFB3/nOd5TP51vayKjVJhIJez5mZ2ftfaKeS7tVPB63+iyMC8eE/SUtXLFYzFrsFhYWFI3FtO+UU/Sd//W/VD3tNKU++9llD+DXvU767Gelu++WHi+fSFo24b/ttmVkesEF0urVy4H1D/9QeuCB501gfaprBbk+S+twRa7NZlMPPPCAHnnkEUOUqESpP9KaQW+kJBOLMNeVjZXWC154Ni6v16trr71W55xzjtVk3UBKOwQU6/T0tEKhkMbGxoz2I7OmHkn9j5YVWnw4L7xvqblyfLQeETygOBGosPFOT09bCxLG8lg3khSAFGntIJAz1Qe/ZdAhP8toP+abkhS4M24xE1hcXFR/f7+k5Toko9uoxc7Ozpo1IomQpBbEGgqFbJD9wsKCYrGYvF6viXQqlYpdJ+4XVo7cW9AbYiraaug/Rf3c2dmpa6+9VqeffroFAu5NPB63c+rp6VEmkzELQtC5q1AHAZbLZbu3bvkB8R3qWe53o9HQ+Pi42XO6Bhdzc3M23xX2AGU4mgEYF5I+Ptfr9RqKp92KZ9jts+Y8eO5c+hh06faY8wxQ8+7v71ez2TT3sYWFBU1OTpqNI/cR0RPq84GBAXtWEaORDDIAgHY03g+/3690Om1GFtRnp6entW3bNm1KpaT/+A/pG9+QduyQcO7y+5drqvy5o0M67jjpDW+Q/uAPpGfC4P8ZXk9lH18Jrs/SOlyDq7RMY+3cudOQJr2s0sFZqqAD6DBeaAQYUHYIQPg3lGez2dT999+vLVu2WCCVZIiDdgfUpD6fT6Ojo0bRslEx7iqXyykej6tQKJgoBCMDPovaFMjPDTTUcLGy83g8Ro3xD0jTdRyiHgnFt7CwoGw2a4H5ggsu0Je//GWlUimjdvETJqi4fs6RSKTFMIJN0J0MMzc3Z/cAVa/f7zdjhM7OTiWTSY2OjlqAhu5Gocv94t4h5uF4MCsIhUL2PXwvbS1Q/9QIqVez0XPvarWa0dxs3lCeBCaobf7b7bcmsPFcTE9Pmz0nE4FwlMLvttlsmgsXTAn3mITFHcUGUqetCt9nrCJjsZipcGOxmB03DmEELM7Z9fgFUcPQEJR5n3j+eQeo5SLIC4VCRvOTxHm9XptIBdoFOeN+xnFJMtvIcDjc0o8uqeV83R5m3gXXYvPFL35xq5CpXl8OsDt3LiNWj2c5iB59tLR583LAfR6vFVp4ZT2rKxAImOAHRIHSln48puTgD8vAaIIqFBrtLbQ+YJ4uSSeeeKK9uHjZssngGkSNUjpoTkC7CUblICoXSUJ9ue48CHGoT5HJEzR8Pp8ymYwuv/xyo1OpkdF4v7CwoIceeqjFn/XAgQOGApeWlmxcWUdHh0466SRzNCJ4IK7hc3t6erRv3z5DEu5QcM6FFhr6f2EBQEXNZlPRaNTOf2pqyurUBB+SBdo+Ojo6rBbe3t5udUCSHywg29rabI7nwsKC2StWq1X5/X4z6Zifn9dtt92msbEx6+kE5UkyCheKdd++fRY0SdqgvX/wgx/Y51IXLJfLJsCh75lkAvp19erV1puayWQ0MTGhZrOp8fFxPfTQQ5KWk8f5+XkVCgUTaeFixbNGcoYamN5vEBz3kueA4wdxk9DF43GjXCXZ/89msy0jE7GWdM1MSFZQenNfQN58vyvgQ3TlisGYzhMKhez8sCllIAE0OMGeY0Cx7fV6dcwxx5jIzlZnp3TCCdIb37jssvS2ty2j1K1bn/eB9amuFeT6LK3DGblKB6cixWIxm9ZSrVZbBDCoZqnXsRlJsnYJqDlEPtTJQJC8uLjo0D9JjbNUKmndunWq1WpmNuAO1Ubs4/f7TSAEEkCx2t/fr1wuZ2roJxoyuCpfapsgtGAwaNk/Ai2oOZTCbMQgFFAA9DKbJp9FDXTz5s32MxwXyIlADqKTZD8LZdjT02MoFzEO/rp8FveKY63ValbbdGl3BEBdXV3GQLj9ytxXVLKcH6iHqT2IeUCZfI5L7ZZKJavlVyoV5fN59fX1GWpGHMfgg3K5bL2puElRT8xkMqbmRg07Oztr9WUYBerS2F2Gw2GNjo6aUxXXBrtEarPUN93rRMLIZCCCHfcXJCzJzpX6LvfB7c11LUWps7pOXNCyWBFSm0cYFwwGNTExYefP8wdDw4xcatALCwtWdybZcUskvb29lljyjASDQW3btu3Q2m+ex2sFua6sZ32tW7fO6qgYHzDzVJK1VID+UGBCAUMnEQxQ/4JEsOOj5QLfWTZsUN3g4KDy+bx8vuXRa3jLuiiXQLJ7927bRFiRSESVSsWOje/BuIK6MhspalWXcmUjk2RoHsQpyeg4NlZJhoK6u7ttEk1PT4/8fr8ikYg2b97c4kcL+iRAUQsEmSGYYeMngCKQwpUJhM6GWa/XzdzD7/dbDY3j5N5mMhldddVV1hYEEkT81N3dbeItRF9s7kwKwsyA6+r2BYPK3Toq15YWHb/fr1tuuaUFpWHRh6iJpALUBlJHPMYx4VZFktLV1aXBwUErGbS1tWnNmjX2DHMP+QdbQBDwzMyMmfZ3d3db4ghCpGaNAIxWKZgFEG+1WrX3gTm1+A3DHsCiUFpoNpuW2NLTWqlUjF1CMez2wfJ8uteRZID3Y3Z21pIP3Kj4Tuhj6tiSnr4j0wt8rQTXlfWMLMRKeNPy4tP+4qJDJsCUy2XL0Km7tre3G4Lxer3at2+fbUClUklTU1NmnjA/P29D15nmAqqldxOKlJ/HUaqtrU2bN282u0KCDA48oOHZ2Vn19/ebenVqasooNtfFJpVKmcCDBICNDutBkJXP51N/f78hCkkmfCoWi+YchXCLoIhZejgcNuoTQwZQeGdnpwqFgrVdEMxcgRgokDaefD5vrR2oQv1+v1H2BDquC57P5557rqEa7i30J/aJfLfP59OePXv0k5/8RJKsNMC9hBkgWJFgSFJfX1/LRr5x40ZzoiIAgu6YvNTX12dUOuriYrGoBx980GrTTLpxB0BQVuCZpH47NzenXC6narWqXC6nRqNhrUEo4lmIhDAqISC6GoNCoWA6AJCmK5QjacPxC/vDSCRiwRgGxes9aIMIZU5iSFuOS/UjEkNwuG/fPrP9ZFUqFVWrVe3evdtcylKplJVoPB6PUd+ZTMbq6pKsNYfE+td1PX/HuK+sF9Qi88W1B9UvwRYbOxAHbTeImOgThTakjtPf369wOGzZcyAQsBmr1PEIxLRtgMBisZgJXQiGmDk8sYcSdBkOhw2luqIjakogHddSTzo4r5IJP2T2CFFKpZLC4bApgvP5vHK5nEZGRiwAYe3IEAO/32+UJojf9WsmiHFekiwYotKFMqWvNpFImMIYVyuUsgQZEhkM2gkyoCGuMxtts7k8qIHpJxgicE2LxaIWFhbU19en4eFhu898RiQSseBPXR6V7MzMjCYnJxWPx43m9/l82rdvn/r6+rRt2zaVSiUdOHDABGQgKZATgbunp0dHHXWU9YUODQ2pWq2a+IeAxTOSTqdbVNbU9aF4JyYmdPHFF0uSrrjiCrtOJDHz88vze1evXm2K39HRUSUSCWMuarWacrmcvRNPFGPBALi1W6h/F+WiD1hYWJ6XzDPLu7Bnzx4de+yxFmx5jj0ej5LJpFHDXH/o42q1qlKpZO1J0MaNRsN0E0z9oYVHkhmM/DqvFeS6sp6xtWnTJtt8KpWKvvnNb1o2zFguJpOAKBcWFmwEHVQkG0UwGFQqlVKtVlOhUDCk5fF4VCgULKPHG5b6KwHVtZ8DPUtqQc9s7NFo1GqzXV1d5vojydAulCu0MmgWJXEqlTKKm+9zs35JJujC8QcjiieiGNS8kkzxWSgULKi7dn8Iq9gYv/zlLxs9v7i4qAMHDmh+ft6o7v7+fsVisRaGgHvyve99T5OTk1ajlGToHMqvra3N1Mz4RZMAQTdj5lEqlXTnnXfq3nvv1fbt262HGGHa/PzyeDT6XqFhSZbo/0Q4BfXKdxA0U6mUjj76aLkzVklGYA88nuXRbKtWrVI0GpXP52vxwXaDfrPZbOkvlpa9oEnsqEt/85vf1Oc//3nl8/kW5E6/Nq1O1PxJPLm2yWRSvb29NucWihklMagcVMhxguRrtZry+bzR0q6gjZ/v6enRSSedJElGr5MIQJNTM8Z5if7WwcFB+z60BbQ2hUIhRSIRHX300Vq3bp3i8bjq9bqOOeYYC7K/zmsluK6sZ2yFw2GtX7/eVKXnn3++CSFo+o9Go2bGQO8hFJvP57OWBY/HY45AkUjEVMeMiEPxmUwmrZ6LQQLuOIhzaD/AMIBhAQg+sJBDASodHGpOLdUdZycdNA5wnZBcVImSlV5W6qKSbMh7f3+/Teih3xO3IehNREq1Ws3qdNDYHR0dKhQKam9vNxFOb2+v3vzmN5vICUTqGj2k02lLDrhOIL5zzjnHWmyouX3iE5/Q9ddfb8IjAhxtJJx7KpVSOBy2AMR33njjjfqP//gPnXLKKU/yS5ak/fv32zVB3c3EFswjMB2B1jzllFM0MDBgDks4dc3NzWlgYMACIuYK2BoStEHbJGC01YAM29vbNTIyovn5eWWzWSsp8MwEAgEbGDA4OGjGHr29vYrFYhYUYQakg5N5YAh4Nvr7++0cUVxfdNFFLRaa9M7SSkQphF5mEC9ewdwTavluixYsDr3IJIEkDQR5t8eczySJRfxGvZ2acDKZVF9f35Pad34d14pa+Flah7tamDUzM6Nf/OIXNm0E4QUN8x0dHTaqDCRKEz8boev0E4vFzFgddSLUKy8/1oYoR6k3YbuHuId/JFmNkKxcktU1qd+Njo5qYGCgpb0HuhrhC+KeWCxmimU8admkc7mcbWYEd0lGG0ajUWuPAFlQP2xra1M2m132bn1cSQxVyOBxlNM4EnEufGcwGLTg4tKJ9FqGw2GVy+UWlx428IWFBe3atUtdXV1at26dnfv09LTdF4IC7kmgcFeVTRsL102StYJwfFDW0kG3rKWlJbMMBGFCqZJw0SMLim9vb1epVFI6ndbatWut9IC4KZ/Pm9gIVoLniGeMY3DNTVBOkxy0tbVp//796urqUjwet2AdiUSUzWZbFOK4GcGAuJ/NqETX0WliYkLBYNBqv5VKRX19fcaIUAcfHBxUtVpVOBzWL37xCx1xxBHyeDyWJIB0EfmhF4CBcCcOoeR3Z/2S4FBa8Pv9uu2227R27VoNDQ3Z/Wg0Gurr61M0GtXGjRufja3mOVkrauGV9Zwtd7oItVR3yg2bOBs8GT79p9BnKBipH1LnlNQyW5V+2M7OThPquO5EqJFBHlB/GCJAETPAG8rO4/FYgKPOR7IgyerCCIwk2VxSAiSboCsQIrBQL+3r67OgzOZP69Hc3JwKhYJt+myMXIuOjg5TQ/P7bNSgVq5TR0eHJS6SbBIOaEVarpvTZ+oGyBNOOKGF9gWxdHd3G5KEssVnF1tHSSqXy6awxvBAkl3j3t5eQ57SQZ9bem8RzNBD6lrtcf8DgYDGxsbs+nZ0dGjdunXWYkMCMDc3p6mpKe3du9cCKpsk2gB0AtTHOddIJKLe3l5Vq1UdOHDAkDvXhvuSyWQUjUZt0IE7cYhnA0aEGq0k0xFw31BLk5iipkdUlkgkND4+rqWlJY2Pj2vdunUt4w1haED0oFHOl3eL82WgAcplShgE6Xg8rnA4rGOPPdaSJFewls1mbRjAyloJrivrGV4ej0dHHXWU8vm80ul0C61VKBRUKpU0MTFhLyVZdzQafVKDPY46LpKlpaKzs9PEUYigQHb0+NHK4pqpLy4u2kQUF90hesHknnosdCuBnZogNoL4wiL86enp0djYmKHziYkJq1MRZA8cOKDZ2VkTSCHacQcHLCws2BSUtrY2dXV1KRQKqbOzs6XtQzpo1cifCaRMBnLrlYyUg+IkGXLbiKDEQfbUdmEDqBejCKa+KqnFRINeUdAkCQATfjjGyclJQ4Ioa6FPXe9g1zKxv7+/pXe2Wq1qaGjIaEyeAShPt4c4kUhYgOc6kOx1dnZa+w91XRcRI1bDicrjWR5uQOKFCAlhGYtkL51Oa2JiQjt27NDu3btbTP957hcXF60ufMkll+irX/2qJJnFJMkQwi1UxlDqkiyRQvUOVU7ZAbRK76y0nHDFYjEVi0VLKiUZJY8pB9Og/H6/MpmMeS0fccQRv/YKYXetqIVX1jO+QqGQNm/erJ07d1rdlKx8ZGREAwMDhiK9Xq+1lUxNTbUoenHfAQnRIoGRA20UkqxO5/aOojAmKFCnIqBiyo9KE/N9Nk7MFvhuBmGDnqCg6cNFAT00NGRBMxKJmFBLkv0bEREBYHZ2VpOTkyZ6gZKjR7LZbCqbzRoCm5qaUjQaNfTp9XqtdYhgI8mmtiAuGhkZscEFCKAymYzVSlEDh0IhYwAWFhYUCoXsXvBn2p+gk6H46Z8E7cfjcbPSA01BT1PnRF3tKrdJMqhZQsPTh4qwBoU6/buMf6MkQDKVTqeVSqUUCoVMaAZbQWIFtUurCYIf5r729va2DCFYWlrSyMiIcrmc0bFcG/qw3fteKBSUyWT0j//4j5Kkr3zlKwoGgxofH7de4EgkoqmpKbW3t+stb3mLnSvMAdeTcgWlF5yjSAR4nqG6w4/PEWZwBkG5o6PDnKx4tkHtiKM4l1QqpWAwaNe0vX15Vqzf719RCD9hrSDXlfWMr7a2Nq1evdpk/+6UGSgnNgI2ARr/d+3aZcHMVQ+ziVCXhOp79NFHbTNmwwZt0F4AMsCtKR6Pm40dqIa6GEGdGmp3d7fuv/9+c6/hmNlkcXVCAez2wKZSKWWzWV111VWamZkx1SdoGEp0aWlJq1evtkTB7Uet1+vWs8qmiSG9z+fT7t27bTACrSrU1GgZofWjo6PDaD8CSL1eVzabbUkcOE/M6TGqACW5dTuoVZy1qB26JvQkCgh4EJkRrAlWIGpJhuBRl0Mx831u7RGBF73ShUJB+/fvVyKRsN7nzs5OYwdqtZqq1aqN3KOMweQcSS3CMYwc3J5j7odrbRgIBOyaopjHzIR3AfMMFtciHo8b/Ts1NWUitC1btujYY49Vd3e3mTegVXCtDxmvV6vVrPWJ4wWZ8t7UajVTC0OVg7yLxaL6+vqMxqdUAItTKBQ0Pj5u5iGNRkOjo6NatWqVaQlW1vJaETQ9S+vXRdDEWlhY0O233667775b69evb5mU0dPTY8pTv9+vc845RyeeeKLe9773mTKRNhHoKYIz486Y7oHS1+fzqVwuKxqNSpLRnAiXQJcEC2qO0M21Wk2NRqNFbQlF+slPflKXXHKJNfe7vYXUe136EkGI17tslj45Oamjjz7arBJBuZVKxTZBgjfoOx6PW18pFor5fF6Dg4NGw05PT+uhhx7SSSedZCiMFiPUogQ7ArdrkCHJhESlUsnQO4kLDlSZTEbJZFJdXV3WkynJAig2eWzuIHKQfT6fVywWM0bBDVRuLZ2/Y0OHXaAmKMmoYFS/rt0eidvc3JxRl0z5qVarisfjVn8vlUp6zWteI0n61re+ZUpbRrVxT6C3qYtjQIIjFeienu4n/gwImmAYCARULBZbXKG4jqtWrTLEGgqFrIbP55I8jI6O6i1veYsk6fvf/74lDwwXKBQKKhQKWrdundWqY7GYmZRwfKjd8X/GDQyHMWwrERPC5JC0cQ75fF6veMUrrN3scF4rgqaV9Zwvv9+v4447TkceeaQkWb2KzYRA0mg09M1vflPve9/7TKBDXdGd5gIypAePySogNWgvUBN0GPXWVCpl48eoMWLkjrAGKhDqE9r6gx/8oLX+0JbjqkcZdM5xIh6BYj766KMNTafTaTOHgK6GWuV3QFaIl/CwXb16ter1ui688EJDt1u3bjVGgAEIiMJmZ2fNyxZ3J0k2to3gtLS0ZMETJyvM53EUkmQBhOSB86COSvLAvFRJJviC4ge912o1SwRqtZqy2awee+wxq3nyDGF3SOJA/Q/xGy0wJF+SbGA4tHE+nze0TT2Z3urVq1dLUou/MUEfc3zX2s+10aTmDEplog70MG0r6XRaoVBIb3zjG3XnnXcqFApZuw4sTXt7e4vwzHWKQljGcx6LxXTOOefo1a9+tfUfo3pHsLRq1Sqrv1JvJrC6qmECJOhdkpl5QJmjOeD8mIgUiUTUaDT0ohe96NcisD7VtYJcn6X164ZcWTt27NA999yj+fl5k+6zAYOwQG0ERVS1bi8pCAV3pWazac4yBw4c0Jo1a1Sv11WtVo3ypdUEhJrL5TQ8PGw1Tj6TmhOiJxAFwhZ36oergObnoBIRACWTSfO7pZeUWhwUdb1eVz6ft8k9Y2NjCgQCVv+ll3JmZsZm4TabyyPr7rrrLm3btk3SQRSI41StVjPvXVpcoE5BnO7kGReFus5AHR0dyuVy6urqskSGjVxSC5px53+6/ZigTDZr2pmgh0HQ1FZp6XCVqATttrY2TUxMaHBwUN3d3VZXdRMjKFmv16sdO3bYbFIM8js6OqweTHKDmpzeXkb4kZRBpfLMuY5f/B3BNp/PK5lMGvXMd5J0TUxMqKenR8lk0pIFJgcxFQdECWsB44P4y0XwbW1tFrif+AzQW53L5azeDiJ3v4fnEzre9YUmOaPGTjJZLpfN7tPj8ejUU0+12vLhvlaQ68p63qyBgQEzkCiVSsrn8yoWi8pkMiqVSi0N8rQzSAfpXOhhgiHZPuYUzWbTEAaG6LSy9Pb2mvOS3+/XunXrDC0/MTPv6elRV1eX8vm8oRh3pqwkG7dFjQ3VJYgGizhqhBjGo4SdnZ01dNLZ2WltIFjwRaNRo92gxN26F2hm69atLdNk+B1U1Hfffbd9BujebXViYSZP8KfGPDMzo0KhYEkFFGdvb29Lz7E7bqyzs1O5XM5EWDAEqFahmiWZgjsej9vx0T5E7ZxaM9daWnYAi0aj5l4kHUwUCEiYy69bt07BYNAEZQRsarwdHR0WqKmBNptNFQoFPfLII8pkMpZY1Wo17dq1y+4jqB3EyX0YGBiwe0zwohaM/SEtNUw9IjAzczaTydgzBcInUaPujKK6Xq8bQ4Aa3WUtfD6fWYAi4OLZW1pa0uTkZMsgDQI5tW5KKdxP7Dk5Z6/Xq02bNv3aBNanulaC68r6la5YLKYTTzzRNk4QFOIkHJbYuNisJbXUXUFGtHTQ+0pPbDqdlrTs9oNvLnVPNqb5+XlNTk5asz6BNp/PW+sMZumgXpCQ6+pEAIU+JPOnFjsxMWEmGpOTk7r22mtNwAVSmZubM1FSJBLR8PCwjQ5jA8dJidohQX5+ft5aPUDaiJrm5+d15plnKpFIWC2OWlpXV5fK5XKLMhrKj3YK2kqoeZIo4MpDryp0qyQTxWzcuNEEaFwLhGQ4QvHfs7OzVnt0p7GQ8ExPT1t7FmIaauFQo67hA7+P2AtWwZ0QhOAGep86I8K3cDisQCCg8fFxCy4EP2hWatsg2qWlJeVyOavNItLi2kqyHtJ4PG6I0n0HYrGYCfD4t4uAec6pg/f29hoLAvIkSM7PzxvyZGgGbWskeojRVq1aZWp3aOH5+Xnl83l7/vfv32915MXFRRUKBf3oRz/SQw89pGAwuGJz+P9YK8F1Zf3K19q1a1vqeaFQyBAOjfUYTSB6cvtKXTEUIhtEPygmybD7+vqUyWTU09Oj+fl5FYtFSbIaXygUMlXnzMyMent7NTg4qEQioba2NlPoSrLaXD6fNwQWi8VM0EFNls0NGo9xcT6fT0NDQ7rwwgutvQj1JmiQz6JW+h//8R96xSteYW0x7lCDZrOpcrmsrq4uxWIx9fb2WtBzfX25ttJBYwSXzqRdgyBDmxRtSZ2dnUokEhYMQESzs7OKRqPWfwzyItEpFAr66U9/qpe//OWWjLgOXa4jEW0h1H6DwaCazaa5ZLkGHtQ1q9WqTdrhWhLUcPgigBPQQO8kLtR8R0dHre0LRgBF7yte8Qpt3brVnllXbUsrEOUJgrIkS4I4rnA4bNQzYjCQM9N0Ojo6NDY2plqtpkQiYZ+PSC+ZTBozgskGk5uo6XLduCdYiEqy852dnVWhULAWLY9neSoVzzXUOnaZDBIYHBw0BE8phgEc7jD1lfXktRJcV9avfPn9fo2MjKhUKunKK680izXQncfjMXclapBk/1NTUxZAJLUEYTYLaF1JZkY+NTXVMjbOrU1Cm2FU4Y47o/5LUGd+K0g1GAwaNQm1RmCkrYXPK5VKKhQKFqzxT8aE4okouF6v60UvepFe9apXqVKpSJLN6oSiBs0Q8DknAgHCGkaa0ScLpRgOh9Xd3a3Pf/7zWlxctPo04iL6aGu1mjKZjHnPYvT/RDMP+iJpa6K3mBmiCJBAS1x/WpGoq4Kgue4gOOqtsBGSlMlkdOONN1qtkeAI4i0UCpZAgAZJTPh8PKrT6bQJ7Vz3KRgUAjDKdOhRkg63rspEIK4p6F9aTnLS6bSKxaKy2ayhTpiLV73qVbr77rsVDocVDAZNVOa6W3V1dSkajdpYQZ4H2qQYco7BBmK9PXv2aGlpSdFotMXDW5IdP4vWMlgH3knq1F6vV695zWt02mmn2XzblfXfrxVB07O0fl0FTazFxUXdcccdNs7tiWiCWhQ1Nuqr0H3QWrSSSDLxBlZ7CEQwMpdk2b3b9uB6HbO50K7CBoLwxW3tgNYFyYEucGaCOqNv94kTVaj5dXR02LFS/8pkMoaiqPMi5sI0AyoRZSwzOGmXAOEjfOnv79fU1JQkmYAMk4Rvf/vb+t3f/V3bnEHQBCBowWAwaG5QrlkBdVxq26BnapHUAHFZwmwAo//u7m4b0QfFzbFjZDEwMGAIDVoXJTbBjmuM2M0NCrVaTaFQyD6D54Fkor29XdFo1NppCK6IvFyHKfdzoby5pqi077jjDp199tnWSka91m2nIaFikAPuW4jV6OtFMIR6/IkKYvQI1HSZjYvdoivYo6cY9yjq/uPj41Zn59mA9pZkIifM+dPptE2MOuuss34t3ZhWBE0r63m3fD6fRkZGTFTDJkPdkpoSdUioKBAlIhBJFkToB+TnXV9Z6lPU4FwzAehJfpbjcxXKNOK7ARJqFNQbiUTMwYcAhCMSJhNspIxOgzrG0xevWRA3vZoELuqTeBm3tbWZVyyUJDQr6I++26mpKaMYy+WyBejOzk69/vWvbxkMIC0PuXYVuDgD0X7kGtHjkkSA4+8lmQIbY33GELrK71wuZ0MSYrGYGVQgegqHw8pkMoY6QWKVSqVl8hEBl2TJRciBQMAEOFDsIEoQPIwI92BmZsZQNwwGwTIej7cgUgRdgUBA4XBYRx99tKHJbDZrAZm2HEoHPCPhcNi8mX0+nx5++GHVajUz7+Ba0icLI0KwI1hPTk5aEjg/P69XvOIVdt/5PtfGk0AN/cv7RXKFWhrjD2rba9asUTwe1wknnPBrGVif6loJrivrWVsDAwMaHh42+gzRBfUrlKIzMzOGcHn5CTZPfPGlZaoYH15Jtpm5FnDUakGUuVxOxWLRejkRbXR2dhoKZEQeCBEvV1oz2NzY9Kgrch5swh6Px6bCzMzMmKiIumc2m7UNlM25q6tLjz76qNUN3SEDrk2gz+dTNBo1OhbkT6AAZYLsp6endcMNN1jNkjqjdLC9A3Uo39dsNlWpVLR3716z6cOYA+SKCIgg4NoYco0RnlEHj8ViljSAnLEA5M+ujSAMBxQwCNadAMO1oR4IQgSJu+IwkhuuO21IsB87duzQXXfdpa6uLqXTaU1PT6ujo8OETGgIoNTXr1/fQl9PT0/rxz/+cYuNJX7X1LZJeKDJYS1A8h0dHaZ4J/kD8WJzSS9uPB6X3+/X2972NrOalNTCblCiGB8ftxYkzFKq1WqLCQsJI73N4+Pj5uu8sv7ntRJcV9azttra2rRlyxYFg0FDrlChuVyuxeQdFIgApre3V/v37zdRh9frtbpjPB5XNBo1UQx1UkZ1ue4y2A2i8oQyJBPHjB+Kk8k1LOpYBCefz2cGEwTw2dlZq6u5faAIdPiZqakp7dq1y44dlAyC37x5syKRiLV1QEGDPqCUoa9RZBOoSRBA92zSe/bsMYpakl1nF01zrPPz8yoUCrrlllv0L//yL/r617+ue++91z6fQQjhcFhDQ0MtTIBL19ICkkqlbEoM95k6Ov+QqGDD2Nvba1Qm4ilMO5ghivkEfb3QvwwiR+zVaDRa+kIJ+tTAKSPgoDU1NWVqawIRiQP1aMoABHP3Hp122mmKRqNG7YLw8UBmYZ8Iw4GAiSSzWq22tF/xTHm9Xu3Zs0cTExOWXJx11lmWgKIjmJqa0tTUlJlAwAC49pL0WBP0EcyhIA4EAnrJS15ideSV9f9eK1dpZT2rKxgMatOmTea8Iy0HNJAsNaS+vj6j7NiUCHLUzLq7u22DoGWBdh5XwUtQoZUmFAoZCqXHENtB6Dufz6c77rjDRpsRCEBLHCfBg01VWk4iUqmUqtWqmVMw8QfEgWK6v7/fRFIgYRyIoDlR1YI8QMqMeKPGTP0YP1/6dtvb23XgwAGbdnLBBRfYtXHNHWjJwJaR3t1du3bp8ssv165du3T11VfruuuuMwEW9DA1ctqDQKs4ANXrdZVKJVWr1ScN5gYdE7h6enpapv64ZiKIimijQc2NoxX9tATeer2u0dFRq22iNCfA8Nn8PMnW4uKitm3bpt/6rd8yZMc9kGTKZIwZotGoPXMI8ILBoAV+2ADU4gjW5ubmDPXj0Vyr1Sz5xLUMc4uFheVZwwxeQN0LTU1N2vU4xoDj9ttvbxlUsbi4qGw2a7S0W1tGsIWwqqOjQ0cffbSxQyvrf14rwXVlPetreHhY69atM5UmdTWUo6VSyTaf+fl5ZbNZMwsnQIJ+/X6/isWiiZQQkGQyGbPAQ7lLUCqXy+bvi8qSlg9MIvx+v7Zu3aqhoSFDUPRlIuqBfqROKMlmbUoyaz531qc78SUejysQCBiCBpnRRsTPplIphcPhljF1+OW2tbVZryE1UzZIaouIm1ynKOq1mCyk02kzBwiFQoYucaqij1iS7rnnHmv5wa4PMRrCMahQELdbE6eOTE8oSnFQFW1FXGvQHug/Ho/bnFfmh/KzBK8777xTHo9HsVjM0B6uSNDflBVAs9JyXb2zs1PlctnaW/x+vxKJhJUzsHEkIXBrwiQka9asUbPZVC6Xs3Yz+ptJaFAd0y8KDU9tnRYkqGOeqWq12uLn3N/fr2Qyac8f7w2lgoWFBW3evFkve9nLLPDSXx6LxSyhlGRlCI/Ho927d+uxxx7TY489ppNPPlkbNmx4RveBw32tBNeV9awvr9erVCqlSCRiWTI1NRBhJBKR3788hgy7OAJBoVCwuZper9d67yS1bMiIXarVaouHK5Z77uaF8pdpH656ldYENmqoS3xfCSighsnJSUmyQMHmztAAAgABEPWwa0QPAuN3EDpBB9566626+OKLVa/XlcvlzOEIAQ8bsCQL3OFwWOFw2DxnCZ6Y0NMzioEFde5UKqWtW7fa/Tv99NNNUAYSRE1NvZBAzqLlhLYaUCgKWBAkvx+JRMz4g/FqIEhQNWPwqEfn83lzQmJIQK1W08DAgNUq6XOmdopwy1XtUl+X1KILaG9vVy6Xa/HApjSBih3UTOKIYQmMBDQyzzIiK55Xd3IQ6FKS1ZWf2OokqUXshviO9wEWpqOjw3q0GbjO9zMhaGxsTFdddZW6u7vNx3twcFDr1q2zftuV9cuvlVacZ2n9urfi/Hdr165duv/++w2RQuthslAsFs3YAYpRkm1YCEByuZwJNg4cOKDh4WGzgZNkVCMN+tCY9GGCRKWDpuXVatXsC2mjcFt42PxAigSFb37zm7ruuuv0uc99zqhSZo4y7o7vQYkpyehO0DgCJNdaDnSNDy39vePj40okEha4odvpfUX4BKWJwEWS0buuh200GrXg7PV6deDAAU1OTurhhx9WNBpVLBbTkUceKb9/eXB8oVCwGabRaNQQGCYKrsDM4/Hommuu0d13362Pfexj1jZCfyVtTfPz8zaEgXIBVDCtOvSflstl82GOx+NG8Xq9XuVyOQ0NDUlaDjSUIOgBdpfX6zUrShBus9k0YxH6fwnK3B/XqjAWi2l2dtaCKKUEBitgOOHOaEVfQMJWKpUsWDIkwlXAu729TFXiWiBY4jmORCL2vszNzWl0dFRHHHGEJFmdmnvN9R4YGLDaczgc1otf/GKbqvTrvp7KPr4yLH1lPWdr7dq1Gh0dNRSEKtXv9yudTquvr88oYjY4AgABGUs6sm2ckUDAbHz1et1GbtG+wpBt3GdcWzvG0vH7oEdQzdLSkn0GiGFxcVEnn3yyfu/3fq+l9YFaGnVUlMSSlMvl1NfXZzVjxDKSDNGx6YLyJZnQa2ZmRslk0hATFLfbV+n62YLO77jjDp1xxhmGyGhRoueXwLKwsKBVq1YplUpp27ZtZo2HZ22z2VQ8Hjd0BOWKSAkhD2rXZrOpW2+9Vffdd5/R2txzv99vKudKpWLmDKBIWlgICNFo1Ho3CTYosWkf6e3t1djYmJLJpNXFl5aWlEqlDFHSWsQ5IIIjuaItLJfLmfgMyt5VRnPsLjPgqr1Jtgi2bvAGUVLLJZHEqKNWq9kUnrGxMZ144oktJRVo57a2NkuWlpaW9NBDD2lubk4bNmxQR0eHVq1aZf3iMBONxvKoRVTVhULBWpVQcK+sp75WguvKes5WW1ubTj75ZF1zzTWm2CTTj0Qi1gLDJgv6gfbD+pB6FyIP6psgVZApqlNGvDE4GiEKPZj0brJJYjFHsAY58P9BsvPz81qzZo3RgYhEUNC6oiOC3ODgoPx+v/WCQv1x3gQ9puZwbPgxI6CJRCKGAPndYrGooaEhQzMcqyRde+21evGLX9zSc+sqRSUZUq9WqzaBiL5ONnBMDkhoqHGjcIWCx7vW7/frIx/5iCUSxWLRjg+63e0HBkFBmXJsBEeYB4woCPggU8ajgfoRNUGfd3V1aefOnerr6zMhnDvAAFFds9nU0NCQ1fUJeIxdI6FoNBqKxWI2WpB6MSIvfr9cLqtcLuv444+3gIySnWsPs8EzFAwGFQwGNTw8bLX8TCZjPdyYqgQCAVMrS7IAu2XLFquBSzKa3O0hx32rVCrJ4/Ho9NNPX7E4PMS1Qgs/S2uFFv7v19LSkm688UZls9kWswECFArUdDptHsVQZdQSqW8hEgHNQndhy8eGjR2iu3m5GzQWjNSBaf/55Cc/qfe85z2mpATZIHzB2m7t2rUtU3UQp4AA3I3eNQOANiUAskHSn0sQZCPGahG1KJ9FcMP6kWHn0MkYG+BsNTMzYw5ToEzs/6hHY0kpqaWnF2rctdBDpAQyzefzNn2GAeQg9UceeURr1661NhfqtNwrRGAwB6hwJZlRfiKRMCEbdC2WgaA0NxBLskDvJmGFQkHNZtPq/QR3txeVa8v9dnUD1Iy5BtDQi4uLNkiB84SlSSQS5veLAC2Tyai7u9uuOWpqjhU7Tq4jtDnlDO5fo7E8k7ZQKFiQx60sEAiYyQTDLsLhsI1L9Hg8Ovvss59Enf+6rxWHppX1glkej0cve9nLtH79eqtnRqNRU2giVurr6zOKDkP9ubk5lUol9fT0WOBioDZKYRSrPT091udIfRHvYOmgypcaIFNfQL7z8/P66U9/quuuu85QkWtRCOW2fv16s6BjIDt13q6uLgWDQU1MTNi5u72WqGEZt0ZNzbWHRHHL5JRYLGYBCyQtyejhhYUFrV692qhMNmm3fkw9k3aWfD5v6lpMKHAA4vri8oOqmCQF8ValUrHrDM3JOREsCCb8eWlpScFgUN3d3WaQAN2OoAdvXJ4FAivjBUFmLrW9fft2VSoVzc3NmWgMup/AxgCH/v5+YwcIgiRD0P+ge/QBJFi5XM4SQjyro9GoVq1aZYEtl8tZTyzKY3eAOfeGY4fud20feVZRsLsJJrV0jDiofzOblQlE1IBBqNJyS9zU1JSCwaDK5fJKYH2aayW4rqznfHm9Xm3ZskUDAwMm6Gg2m8pkMjpw4ICSyaQh1kajoVwuZ7QoVndQdbRUsNyZrahhqcVR+7r++uslybJ9VLVkqFNTU+ru7tZ//ud/6txzzzWaDqoTipgpO+3t7WbYD/pxN2w2ZAJIuVy2ujA2fYiBCHhQtpFIxJC9JPsOAqI7bF2SoT82XlyrGFAAwuVnQf0EWxASVpP0C4MIoaFdtA0d7noSQ3lCjeJENDAwoFQqZUiRuiRG9ZIMQUO9p9NpSzhqtZq6urpahgz09vYqkUjosssuUzqdtpGHkUhEsVjMGAkW9xPFMHVMat54RvP5nZ2d6u3tVSQSUT6ft55j/p/bYwvSZdKQq0pmqDmJF2UAnqdKpWIBkdq7603daDQ0NTVldDSsD4kF9oYDAwOmBp+fn1c0GrVBF36/X8lkUiMjI0omk/rGN76hRCKhN73pTb/CN/7XY60E15X1vFgdHR2mUiRojY6O2iYcCoXk9/uthoawqVarqVAoGM1JbTYYDFqgYwNks8RkoVaraXJyUps2bbKfy+VyGh8ftzpiKBSyHkJJFuT5PnoXJbXQrQzi3rt3r/XP0oKzevVqM9Go1+smsqElieCDSAflaqFQsFYcUA40JAECqhYBFJQ3xgW0yxDEMKJwKW6Px2OIFdcivgcECaVMIoAPM0iVwEv7iUtJUlsF3VMTpY/YRWaSTGENg9DX12c1epKnzs5OQ2EoY9/0pjepq6vLRtVBMbsG+CB8nK6wrAR5uj+XSqXs3pPkBYNBeb1eVSoVmz6EKKxSqZhPcLPZtGlQCPFIzHhuJFkNmxYv17lqfn5e/f39LfXd4447TjMzM/rrv/5ro5NJUmAReJ54FiqVisbHx3XzzTdbUgqL84d/+IfatGnTs/beH85rJbiurOfNGhgY0KZNm6xF4cQTT1R3d7fVQlGWSjJBCsYF+/fv14EDB4y+rFQq5iN82223mUMOo+7oH43FYhoaGjKf4aGhIfX19Rl6wtdYkqliacTHBEGSoQ1sFqkHHnHEEWbFWCgUjB6lgR/qDSoQqhZje5AW7S58N4Kaffv22exXNmjaMEBNKHERrzSbTQ0MDNh1aDQaymazFmRpD6HGx/nt27fP0K4kq11Tp4RZINnAvQg1N2Ii6Hx6PwkUuVyupdbrJgN4PtObiYsRLAAJGDXVbDarrq4uhUIh84PmGuO57PYOu9OASF5gEhgMADXrTgPCBGJoaMhq3zhshcNh65HFcAMWxefzWd0TgR40cyQSsfuIFSeq3Ww2a6puBGU+n08f//jHlUqljCquVqv2fNIT6yZfJLAkHLlcTn6/X+edd55dw5X19NZKcF1Zz5vl9Xo1NDRkqAkUyga1uLho8yzZBEOhkCYmJrRhwwalUikVi0WzN0Sw8tu//dvWO+jxeBSNRlusFgmQBEbaGVzjdJAugZafpwYsLQcTKFsCGyjbrVmy8FIG1aFWhtqkp5H5o6BuF/FRZyQo019JEKZOt7CwoKmpKf3d3/2dms1mi2EFk4g6OzuVy+Xs3FzvYcRCvb29dn3i8bipkjHlkGTHQDByUTQIKZVKGcIdGxvT7OysBgcHNT8/r56eHhWLRbt2tDsxuzebzbYYX9Abyzi7RqOhT37yk0ZBU4smsaANhdqxK+bC55r+XGwcQduYmYDSpeX5siRT5XJZHo/HpiWRHJB0gFq5B5FIxOqrHBstPhMTEwqHw0Ydc1+h2vk3Jha0E5EEkri5anZaorq7u3X66adbQF63bp1OOeUUo4tX1tNfK8F1ZT2vVkdHh17xilcon8+rXq8rHA4rGo2asxAo6zOf+YxRkyMjIy2fAepgYd5AjU5aVv0hNsKxZmRkxIKdz+fT6OioDZVmRBcqVGqjGAcgPpEOTqaB4mTTjMfjhupwFlpYWDDqGaEJjlAgG4Q32DwS0Ov1unp7ew39cdwIoRBbQfXu2rVLp5122pPo4omJCVMu09ZBkAiFQiqVStZf+tBDD9l0GAIQbSM4ZlGnxJ0KdOkKg0BkbW1t+upXv6obbrjBREYkRcViUXfffXdLTdOl9hkwALKr1+uq1Wr6m7/5G911112an5/X+Pi49W8yAB7aF0qez3Xr3kyuaTabKpVKymQyKpVKZt3Ifab+iWCI+rh0cCACCQhiMZ4lrDNJpriW3P9UKmWBWJJN1ME4479LBkulkiVyoFeeJeru+ANjLRoIBLRq1aoVo4hneK0E15X1vFvBYFCvec1rzE+XoINKd2FhQccee6y1mTDOLRgMatWqVYb46I10h15Lamm+5/uGh4cNWbmKXHc0HuYGzEYF6YDOEC5Rf6SthoQgFAoZ5YyjEwph3HFQ/6JUxXRfkhnal0qlllociEaS0ZycH8dSr9d16qmn6sUvfrHK5bKN3KvX60ZZInihlui2JUFtBwKBFjUrGzXXyuv1anx83CwRuXcohak9MkPW5/PplFNO0apVqzQ9PW3oOxaLaXBwUFu2bJEkM5xHTITFIsdJ/6jH49HGjRslSVddddWThr3TrsT1rNfrVpNHVMU0JK5/LBazwQrUnqmTTk5Oam5uznpQoarT6bTy+bzK5bLGx8eNRXANGaDcSVwI1JI0NTVlLTFQ5fl8Xh6PR+9///utp5UasdujTZ8zBht8F+8CyYDf79fw8LBOOeWUlslPK+uZWSvBdWU9L1dPT4+OOOIIq0lNTk6aMGhgYEAvfelLJclQFQISNl3ETmwiKDclWc0M6o7fh3LEXxcqdn5+XpFIRAMDA+rq6tLg4GDLeDOUrExggYZ0B5jj6+oKbgi+rlqV7wWVzczM6E//9E/1qU99yo67vX15qDVIHsoQqpOB6iQiP//5z1s8gBlinkqllEwm1dHRodHRUZVKJXV1dSmZTCqRSBg1DSoKBAJKJpOWrECNBgIBczWiFonwx00wGGM2Pj5uQw3K5bJOOukkjYyMmAqZWivKahA5NWnESYlEwlS3hULBqOZTTz1VkvT1r3+9RQTm8SzPPR0eHjbBGkgbNTMuV11dXZZEVatVFQoFxWIxSzJA0AMDA4rFYrr11lv15S9/2QR3IyMj1jaEVSNJhrTMnJRKJWsNg+Ggd3VoaEiJRMLqrgyeCAaD+v3f/30TmcViMWtba2tr08MPP6xCoWA0drFYNNV5uVxWsVjUY489Zvdt7dq1GhgYePZf8F+DtWIi8SytFROJp74ajYbuuOMO7du3T93d3Uqn04rH49YuwuZRq9UUjUatvYbghvm9JLM3dB2fmHcKqkWdySxTUBaiFQI3NB79irj4TE9PK5PJ6OijjzZjBmhIjNpJFrD6q9VqVuvs7e21Z4N2jkajoTvvvFNHHnmkGRHQjkEtF0q60WjY1JTXvva1+ta3vmUoOZfL2bQbxFUwA/jSoqimr5U2Is6P4I1ASZIFE7f1hxYTUCJonvuAiAaK0kX809PTZnywb98+hcNhHXnkkVYHddW2t956q0466SRJB83roWVvv/12zczM6EUvepH5+VJmgNZF5UzbDz2jiJ2oCXPu8Xjc6GUm0tTrdR04cEB/8Rd/IUm64oorbDYvNC3DxqnX8xzSDwuq51lF1OQibUoBMAcImXh2A4GAHT9CPpIo6tb0bONPvXHjRq1bt85anlbW/7yeyj6+ElyfpbUSXA9tLS4uav/+/frxj3+scrlsAQJRRjabtRqWtLxhQt1CFbPpejwe/fznP9dLXvISU3+CqhAfQS1SP6RntLe3twVpuIpKBpRLMlcm6qxuHdLn8+mWW27R6tWrbUbn+Pi4bfg4VIFgw+Gw1c2ohxL0QMzUHxkbRwvPzp07dfzxxxtqd9EfdUoUo5JsjijmGAcOHNARRxxhG7UkE+a41xvauaenx7ydm82mstmsIUL6aqkx4v+LyT5iLvp1oboJdNQdQWMcyyOPPKK+vj51d3crHA5r586dNisWYdLs7Kw2b94saZnl6O7uVrFYtBYcnKVAqPQTP/zww9q6dauKxaKNoYOqf+LwB3qzp6entXbt2hZTB+lgrZTeVfQDmUzG7BJJ/hA+4ZWdTCZtYAE1Ye4bCSb9rZiXkDxUKhUTMPFc8nz19/dr69atK8rgp7hWHJpW1mGzfD6fRkZGNDIyos2bNysSiZiLz+Liotn60fRPAJYO2vTxz8LCgrZs2WJ0MQgYpAu6QiBEewsIBep2enpapVKppdfWFeLQ4hCPxy1w00969NFHKxqNGkVI+0pXV5emp6dtk8TByK0TuwiVBIC5rhjNS8uod+3atcpkMsrn85Kk++67Tz/60Y/s990+S0auUf9lmgrXIBgMtiBWvicYDNr1o2YJ4ksmk6ZoJshyzX2+5eHi7kQXWky4l6imOR5YhunpaRNUrV271pyZXJcmNr1gMKienh5VKhWjRyUpEomYU9H09LQhx56eHgUCAc3Ozmrjxo1mKEIA417ABpA0jY6O6k1vepM5MeG/DOqn1kwNm+cxGo2a8xiG/YxZ5NrQtgVlLcmcx6izuyI3mBLU47ABGKYwdIHe7pX1q1srxv0r63m/fD6ftm3bpl27dllt0+/3m5NTNBq1TZypNbfffrtqtZrOP/98myADMpAOGqNjiiAtoyFUlW7LA72d9IxyTC6iQ9jj8/lsE9u7d2/LcADMHUASGL+jziVhaDQaNqsUkwIQo3TQsQiRDIIo6FXocAJTe3u7jjnmGD344IOqVquGkmOxmAmpoLoZ30e7CT217e3tymQy1h8ciUTMx5ZrgWECoirX1IPvZAJOpVKxe8V8VAIcNDUom8BdLpcVjUatJtvd3W3zbBFdISwDxY2Pj6tQKGhwcFCSbMABSQ9tM7TioGYGaZbLZfX29toxUAOFMu7t7dXq1asVDocNJXIMtHrt27dP9XrdTFKgo6F0Ozo6VC6X7dwnJycVj8dNMEeNm2NEwY0RSLPZVKFQUCKRsGeP6U8862gMenp6tGnTppVJN8/CWqGFn6W1Qgs//TU7O6sbb7xRuVxO/f39LaYJTG5xVbrUM6lD9vT02KxTTM3n5+dbRmwxh5SWDKg1AmQgELBghKI0GAy2jBHD4AI6FPRDwEaVCzJ065C0uICiETe5PazFYtFaX6BMaRGanJy0eayMuiOhmJ6e1te+9jVdfPHFRlmCXqHHXYcokomOjg5NTEyYyT/1wf7+fvsMSSoUCtbiglDL4/GoUCiYiQWBDRYAmpSB9lwHjsPv99u5UCuH6p6bm7MgQXsNlHe9XrfrwDXmuoKaUYvTw+sOO2BIAGYQc3NzCoVCdl/cuqm0XHtGtIborlgsttTvSZBwbNq7d68GBwetzIHYrdlsmuqXAEriWKlUFI1GLbi69WuSClfpjHCuo6ND8Xhcxx13nAXdlfXU1wotvLIOy9XV1aXjjjtO69evb7GOwwCdHkJMExAKMe1kbm7OkCJG/l1dXTaqzkVDUKUgK5Av6IEaFnU0gmt3d7dSqZRtpgifMBOQZFaIrlFDIBBQJBIx5ExgdueNslxrQJdC9Pv9isVi5rnMZov/cigU0gUXXGAWjiB2nIr4Dlo4EEvNzc1pYGDABqVD+UoyNA5Vi9k/7SVQpJwzfb5uDzBCHNppvF6vKXIZr1er1ZROp62WTe2Z9qn5+XkLitDQmE9Ao3KOePYiGAJBtre3a3Jy0lpcAoGAhoaGjOoGSbr9oHxvZ2enxsfHTZmM9y+fKy2b6bu9tRs3brTh6ng9k6DBFnB/UMojTuLauW1YODFBTUsy56dwOKxt27atBNZncf1aBtePfvSjOuGEE6y14IILLtAjjzzS8jP1el1vf/vbTX5/4YUXKp1O2/8fHR1dmXP4HKzBwUGtXr1a09PTmpqaspYEptFgpoDVIT2c2O9Bj7lzPev1uiEzaNZ8Pm8tHy7a8Hg8NnFHkj0D+Npi7g5qpBWHUWijo6Pat2+f1T1BkIuLizpw4IA5JCFocqls6FaQKnQxARg07RrM45yEf3EymbQgPzAwoO7ubmvjQNBDe1IoFLJAwZQg/HcxuHAn5Zx99tm68847bbqQJKNHu7u7VSqVFI1GW2bhMtqP4wW9MkOX3lZEYxhekADMzMzoa1/7mvWmci3n5uaUzWaNXiaoQQFz7+iJzufzymQyLWI1rlNPT4/y+by1GyFsowcaZMk9wYIQkRjPAO1i7sxVRG+JRMKSre7ubnuOQaYwIIFAQMFgUOFw2JAuLElvb2+LfzMuZNFoVCeddNKThlqsrF/t+rUMrrfccove/va3684779T111+vhYUFnXnmmebeI0nveMc79IMf/ECXX365brnlFk1MTOjVr371c3jUK4s1ODioo446StVq1Wpxbq2LIEgND1SKinV6etqa/6mz9vf3W+8jtnsYKBDU/H6/Jicn5ff7lc/nNTc3p3e9612mwARJoSZls4WyY6zZ/9/emUe3WVhp/5Ft2ZZlWasXeZHjECeOE2cPJIQ1ZJqy5MAMU6ATGkppSzgJEJLpwAzd5pQO0BYKhdIptIR2CgE6Zd8ZCHAga8MSQpyNxLslW5atzZss6fsj33MrsQaqxEl8f+dwiGX71Sspee97733uc5n5USXMgGY2m6X3SL/ZoaEh6V0ySwMgYzyhUEj6uuzLpYqUfD6feMqmml4YjUa0tLSkLQHgTUTq6jrukKW/MWeDad3Hm5OCggLMmTNH3keWmhlgePGn4Qa399AFiqri1Peeywq4BWfSpEkYN26cmCbEYjG0t7dj7dq1OHDgAOLxuHxe3P6SWrqncpuqab/fj8HBQSkJ00EpOztbbmzi8bgIt2w2m2SiDNKpiwPYS+UGIZbOKZ7Ky8uD2+2WpQ1ZWVkS0NnG4MwwWxAM3ry5YFWGNwU03uffFYfDAQBSCaipqcH06dPVfWkU0J4rDpp8l5SU4PXXX8dpp52GYDCI4uJiPPTQQ/jnf/5nAMCuXbswefJkbNy4EfPmzUNTUxNqampwqG+f9lwzSzKZxObNm9HU1CRr13i3PjIygkAggOrqaumrsff2UeEQL2KpBgj0MWYgYZ+W5UeW4vbv3494PI6ZM2emiUoGBwdht9ulRMdsDICUJil24egMe4hmsxn79+9HSUmJ9H55QaVgh8pkwvI2y4p5eXno6ekRpS8N+hmYOVJjMpnEhIPlQr4XLCkPDw/jwIEDKCsrE5ciZtOc22VgeOONNzBr1izpIfb396O8vFwyeR43GAzC6XSKU1LqTQnHTbgpJ3W9IANnaq+VNw0sSaeeD3vU7LtTsV1SUoJAIIBIJCJKaKqtmfUWFBSgsLAQbW1tsNvtMkPMrJVCMzoqpa4B5HgPXZdY9ubnk6r6LS0tTVuwnqpiLyoqgtfrhcPhQGtrq2TxvBniYgD6Bu/cuRMdHR2YN2+eOFqdcsopWgrOINpz/YIEg0EAkLu+bdu2IRaLYdGiRfIzdXV18Hg82Lhx46ico5KOwWDAvHnzMH/+fAkWHNZnFsGeJTMLloipeGX/rK+vT9SsvGinbrdhz5KZD0c8pk2bhvr6egSDQQwMDIh5gMlkkpK1xWKRC2BOTo4EDWazzLyBg0rWnJwclJSUwGAwwOfziSet3W5PW8uWKkgqKCiQizbHhmgawewsOztbsnZmfX6/H7FYTC72DNAMoBwdqa2tld4uxUTDw8MIBoNiKu9yuXDmmWfC4/F87L2mAKq/vx+BQEBcsGgg0d3dLWsDWTmgMM3tdstsM296ONbS0dEhJehEIoFwOCzvBRccsB//4YcfylwwxWrcE8yxFtpBspLQ3t4uN12cReXfEfbeadhP836qoIPBIAYHB6VEz+fo7OxER0cH/u///g9NTU1pbYBUAZnf70dfX59cwLOyskQPwIy6ublZPvP+/n6UlJTgwQcfRCwWg8fjwfz58zWwjiJjfhQnkUhg1apVWLBgAaZOnQrgoK9nbm7ux/5ilpaWwuv1AgDGjRt3yFmrcvjweDyYM2cOGhsbpSTH/9tsNkQiEbGgo6KU2SPnEFlC5QWSGU/q7CgAyZqoSKVKeGRkRHqAXAhOv1mWYFlupYiIWWEkEhHrPc6gflRdnDqbSvUsF7+zV8n+HBXQJ5xwghhpUM3LEjmFV5yf5Lo1Bmb2+FhaByDH5zlRrUyHLJrfM+NlhsW+Mh+LRqOoqqqSTJZCK4qZmMWy7MkSKYNLIBCQ8jXVylwAwHI2g2iqd29XV5fsZ+WNGPuaZWVl8t7Rv9fv98vi8mQyKWK5wcFBOJ1OuSFixkyREW/ELBaLLCwoKipCT08PjEYjurq68OMf/1g+j1tuuUUqKXSQYql4YGAA4XAY5eXlso6PZWP2VWnIMTAwAJvNhv/5n/9BaWkpGhoaRHSmjA5jPnNdsWIFduzYgYcffjijx+3v74fX60VHRwfa2trQ3t6e0eMrBzEYDGhoaMCpp54Kr9crq+U4j9jf34/e3l4UFhbCbrfLXliqWhm4qNJkr5NZCb8H/G3cg6MhLMfR9DwSicjFn5ZyIyMjuOSSS8QgghdCPg8FVAxCLDXSTYhqz1QnJvZ+mR3SDSk/P19WpAEHS7wU7TA4U+XMsZr+/n5UV1enOQhx7pYqZ2ZknF1lkAmFQujq6pKbGRrXM7PkzC9vVILBIFpaWkTVCkD29aaO/6RmmMxkh4aGRNXLrJ2CIPrm8obEZrOJcpp7c8eNGyezsBaLBU1NTWhqasKaNWuwfv167N27V6wcKTIqLy+X0jfPKRaLobu7Gz09PbLsgDOsHHvhY/RW5ntB9Thhv7S3txft7e1pKuNUf+bh4WGUlpbKAneLxSK9Yt7MULWdn5+PWbNmaWA9zLS3t6OtrQ0dHR3wer1iEZrKmA6uK1euxDPPPIP169ejsrJSHi8rK0vrtRGfz3fI2yNWr14Nt9uNiooKVFVVob6+PpOnrnwEt9uNBQsWiDI0tRxnNBoRCASwceNG6X+Gw2FkZWXh0UcfxY9//GO5oDFz44U6VY2ZavjPCz/LlSMjIyLk4fYUGihcddVVaSpUo9EowTc/Px9Op1NENbRJ/OgWFip+GUTHjx8v6lXuY00182cGyN5bavmTGTPnd7nhh7Op3G7DOV+eT6qZBbfa2Gw2lJWVSabGDIwzvPS65ddVVVUoLCyUEivLw8zKGEyYjdKTl31TZszM1rOysmSnLW984vE4enp65P1PXTbOcjdFbP/5n/8Jt9sNt9st2a/FYkFFRYVk43Sl6uvrE6cmk8kkNzL0G7bb7XLTwT21fr9f7Cvz8vJQWlqKG2+8Eaeffjquu+462O12uFwujBs3TgRwNKNg9YP9Pc7xUtAUDodlDSK/P3/+/LR+vHJ4qK+vR1VVFSoqKuB2u7FmzZqP/cyYDK7JZBIrV67E448/jldffRU1NTVp36cn6yuvvCKP7d69Gy0tLZg/f/4hPccvfvELuTtubm7Gzp07M/oalI8zZcoULFiwACaTCU6nM83Y3mq1oqGhQdyRRkZGEIlE8OSTT2LXrl2iMuZFk+XQ1OytpKRERDlUcrLcy9+hpWFvby8SiQQaGxvlxmp4eFgyQ/YtWUaORCIIh8NiQEGD+t7eXtx9991oa2tDc3Oz9DAZOLhFJh6Py6jFOeecg4suukgsBbmuj8GqrKxMSrgMdKktDgYKBiPOq9IqkAEx1eSfgY7lSr6fzMZZ0rbb7WhsbAQAETTxcVpMcgE63yO6I+Xk5GDv3r0yF2q32wFAlMn0YR4aGoLJZJLfZVma5fyBgQFYLBa5AeFsMTNw9l8ZFEdGRtDT0yPHzMrKkr9f3d3dMpJjMplgtVqRk5OD1157TfqzfX19sme1tbUV5eXlWLp0qQiUAMj8bSAQEMMMfl7MYKlC54gYs1uWyE899VRVBR8hdu7ciebmZrnG//znP//Yz4zJ4LpixQr86U9/wkMPPQSLxQKv1wuv1yvlP6vViiuuuAKrV6/G+vXrsW3bNlx++eWYP3++bOH4PAoLC1FdXY3q6mp4PB6xX1MOHwaDASUlJZg1a5bMlXJnZ6ozUyKRwBNPPIGsrCxcd911WLJkiczLMutiCZKPJRIJ6XUxG2IA4QhEqh1fX18fent74fF44HK5pBzMIPHnP/8Zt9xyi5w3193RP5fPOTg4CJ/PB4/HI+rhVDEUt/bwPBkk+/r6pATJgEBRUSgUkqyRNxoApIwej8fR2NiIhQsXirmBwWBAVVWVKHqp9nW5XKL05Wozq9UqPdWBgQGZZWUv9YQTToDT6ZQ+JEvCHPth1pZMJtNWDQaDQVRVVYmimWV5vl8GgwF2u10Cz8jIiJSf2UfnWBH7rwziqZthuMSB7xnfXwqMeMPCuWCqg/ke2Gw2LFq0CA6HQ2wlGRQ3bNgAl8uFvLw80W3E43G8/fbbshGInwk/Z5fLJQpoKpA5vzwwMACHw4E5c+ZoKfgIUlFRAY/HI9f4T7KTHJOjOJ9m/rB27Vp885vfBHDwrnrNmjVYt24dhoaGsHjxYtxzzz1feqmwjuIcWQYGBrB582bJCKkoZW/queeew6JFi0RIRCVsTk4O1q5diyuvvFIeozKUPr28YKbaBTKY8WJJ5TJnUTn3yFJpR0eHjAFRHEVxCgMxH+d+UQZu9g27u7vlnJqbm7F582YMDQ3hwQcfBAA8//zzcpFOXerO19DT0yN9PPrZstRpNptxzz334OKLL4bJZEJZWZmYwLMcTk9c9kAZ4Gg+39/fL85NNO1g9pU6KsM1aABkzMdoNMJsNqOtrQ0bNmzAV77yFXnvUhd/M2tldswbCc4lc60dTSa4yo+BnL7EHK2hQUbqflX2mtmvDwQCaYKpzZs3Y/r06XA4HOKsxZsLzhhzIbvFYoHP54PT6YTZbBZHJ96UmM1m/OlPf8I3vvGNNHtL/j3l6wyFQsjJyUF1dTXmz58vojXl8KIr545CNLgeeZgpcCOK2WyGy+VCT08P+vv74XA4xKidQ/6Eylr2EDmbym037M2y9Mndsixx8ngsMzOrdTqdSCaT6OjoQDweF/ENxz9YKjWbzdIfdTqdkoHRU5bWjiUlJdi+fTv+4z/+QxyKyP3334+8vDzxuaVHLrP5l156CaeffjpKSkrQ0tICm80mFntcBk6RD5W/NCdwOByiKObNR29vr/QWufosdTcs/ZyppmY2S/tE9pvZd+T2Iv4MAMlyWeam2IlVBvZ929racNVVV+Giiy7C0qVL00rDDEQMfBS8GQwG6XuyfcAdrKnnys+eNwDPPPMMpk+fDrfbjXg8LmNZVKMnk0m88cYbsNvtmDRpUpq38tDQkJTOqQOIRqNppftkMinOS6mrAuvr6zF+/HgNrEcQnXNVFBwszc+dO1cckYLBIDo6OqQfyhlSBjf+mTtGGThYfmRfk/0xXtQ5UmIymeB2u6VXyX4vFb58LBQKwW63o6SkREp9HENh35IZCgARFdGQgk5BLpdLhD7nn38+Fi5cKK/97LPPxnPPPYf8/HxZRjA0NIS+vj4JijQboAsUZ2CZYWVlZUlvkufE7TvcX8v3kn1t/j6DAINeqtMUM132ajl2w4yU+1D5OFfXcQ6d2S4zVFowcswmVZUbDodRVFQke30p8GJOwZshzjlTIc6KBMeReJPAsjz30vb39+Pcc8+VPbHMMAOBgKiBDQYDTj/9dIwfPx4AJMNlgGWJmcvTa2pqZPSJN3gsCzPInnTSSZg4caIG1qMYDa7KcY3dbscpp5yCyspK7NmzB8DB8Q+r1Sq2dsxqaKieWnrkVhOn0ymKX170GSQAyPHYs2UWwqyXvUsqcenE09HRgYGBAfE9Tl1IQJtBZlJUL/MmgBtUxo8fj4ULF6K8vFzO5/nnn0dVVZUop3nRp+qZgXLr1q0IBoNIJpPivcvXRuEQTTaGh4fhcrnE0pAuTywH8/woFOLv0HaSc8QdHR1iXkH1MYVZoVBItA8M6sxIu7u7JXPmjQZvfhjwmYmaTCY89dRTWLVqFSKRCGKxGHp6etLsBTmzDADFxcWikObzBQIByZi57D0vLw/9/f2iKKYqmONHvBFiWZx9bjqEMVim/p1wuVyw2WywWq1S6aB1JAC5KeMO29mzZ8uMr3L0osFVOe4xGo1oaGjAt771LZSWlspFjkGnv78ffr9fSq90cOIuUZqnp7oa0TCfwhv65VLFy8yEc4/MUCkYAg6WeG02m+xfZabDOVMAUsL96E5X9hSDwaCY/LNvSbgQO9Vhiv7G7GtOmzZN/sxMjaNGXEzP94RZIXuNXCKQunCe2WNOTo5k2Mz4qbZmadjn8+GXv/yljJ60tbUBgARXHpeCpVQDEB6Xilr6+RqNRllAzmP09fUhFApJ2ZkVAt5M0M+ZZV9WLvhzAGROl59RNBqV4EtlN9W7w8PD8Hq9so2Gs6m0r2RpnwIozjVz1IvnQYMTtgqcTifmzp2L0tLSw/CvRMk0GlyVMYHRaMS4ceNwwgknwGazSYb1URUo1b905qEQp6OjQ8qCFLqYzWZYLBbJcCk2isVi0h9jBsiMp7u7W3qpO3bswGOPPSZzicxqOZ/KIEvxD7Mhqn05VxsOh9Hc3IwnnnhCXu9Pf/pTcWFqbm7Gq6++mpZJU7hjtVrFopHl0VSzC17w4/G4zH/TVpA9TxpipAqaKL6hpSAzsa6uLtktmpubi1dffVVuambPni3K6lAohO7ubsnYOPbE32cQB5AmVuNzc7Z5z5498llarVbJjFke5w0Ts0O+9wDE/pK7aBnoWaZlKZ0iMW7MYQmbM6/sE0ciEQnYXO9Hj+DKykoZb6JYjjaaADBx4kQZM1OODTS4KmMKt9uN+fPno7KyUlTC3C5Cf95UWT2djd5//31ccsklCAQCIjJhD5E9R5ZFUx15GHR9Pp+YNPCCevLJJ+Oiiy6SkRUAMttqNpslWDCb6urqQltbm8xd0piBhhap3Hjjjeju7kYoFMKmTZuwf//+tJ8xm82yxzbVrhCAOBJRuMTA0tfXh/b2djQ1NaUFCYqgOjs7Zd6VmT0DDQN6U1MTwuEwYrEYbDYb7rzzTsnMOF5jMBgk+FKZG4/HEQgExGg/1QELgMw079+/X26abDabqHypLmbpl9aPqZ8R1cAWi0XU3hQ6/fCHP8Sjjz6KXbt2yfvFuVjaWzIwsxdPeAPGG5bUbUdcScc2ARXWZrMZvb29iMfjmDt3LubMmaPmEMcYqhY+Qqha+OgikUhg3759aG5uRk9PD8xmM5xOp1gYpo7a9PX1YdmyZQCABQsW4Morr0ReXh4cDofMHLLER49cZnRPPvkk7r//fgDACy+8gFAohN7eXpSWlkrJz2aziaKYQYkbayhsSl2gzTVtpKurCwCwdetW3HHHHSguLsbAwAB++9vfpjku0TCC5gqEPV6aV4TD4TSFLl2nUk0yON/JMSeua6SClsGffUQKvph9+/1+Gc1hSZpCJGb5zLJLSkoki2RGnzpWBUCqA9u3b8fEiROlHJ/aYx0eHkZhYSF6e3ul/B2Px7F48WIAwMMPPyyWkgzGXOywZMkSAMDTTz8NADJiRDcsfv4ffvghKisrpRLCPrLP58PNN9+Mv/zlLwD+tnOWJhEsA3NUiM5NkyZN+tLjf0rm+SLXcZWaKWOSrKwsTJgwQcqL7L3Sci7VEjCRSOBXv/oVrrnmGvEJpo0ibQCZ9dhsNlHmDg0NYcqUKfKcHOG48sor8fzzz0v2y7Jo6hJtlqY52sKxkUQigZaWFpmPpVo4Ho/jtNNOw6xZszA4OIjS0lLZicp+I9XAVEI7nU65yOfl5cnoDEeSaAdIwRXfG2ZqkUhEBFaFhYVSMu3q6pKNM3QTikajolZmv5MezRxTKi4ulp+jc1JquZal13g8Luv6KPpi+X7ixIlikcjnZpmb41VFRUXw+Xyy55XQscpoNEr5mP31//3f/5U5Wt5MuFwuKfPTd7i+vj5tP25eXh527tyJqqoqAEjbM+vz+eBwONLcrgwGA6LRKMaPH4+GhgZVAx/DaOZ6hNDM9ejF7/fjgw8+kMyMrl0MaDQ+ILz4OhyOj81h8kLOMitHT1g6ZcnUarXKXCwDCzNIZq5U25rNZvh8PlGnUinLmUtmkBwTosJ5eHgYBQUFMvrT398vYpx3330X5557rvR1U00SKBRKnTul4Ipr6JixpnoAswycquYNh8PSR+R2GQqdaAUJQFTaqQvWUxcp0Cifc6F0W+KNAXe60u2KPU0AUrKnOQTL9+wZt7e341/+5V9w3333oaqqSoIjVcEDAwPo7e2F2+1OW25O5TidlPr7+1FUVCQqXyp/KXzLz89HX18fysrK5DPjZ0if4OzsbEybNg3V1dVpc9fK0YHOuSrKF8DlcuGUU07BhAkTMDIyIoGDvTm32y2ZEgDJvHp6ekQQxbIkFa7MgikiSjXrp4KXF9aioiLs2LEDbW1t8rN0BeICANr6sSzKgGcymcSGkWpfeu6m/p8+uUajETabDePHj5fF5Ha7XUrabW1t0utlcOQ50HmKmSTLuTRaYE+QmSdnT+mMNDIyIllqV1eXbP1hkGOfNxaLYe/evejq6pIyNlfEUUjFtXFcCdja2ooPP/wQfr9fjD1uuukm8erluFEqLNsCwFVXXSVlYt5I0ByD710oFILJZJLn5I0NxXH0G2aw7e3tlTWFHCni5zs0NCQ3K7t27cKVV16J/Px8nHXWWZg4caIG1uMADa6KgoMOPOXl5TjzzDPhdDplDpMZBn17OYPIWdnW1la89tprog7mKAUXcttsNuTl5cm6O4qhBgYGUF5ejuLiYjgcDlRWVsJqtUqmyKDMDJiPcf6WHr/s8fI1MONigAcgWRqDr8lkStvSxAyZCwl4/NR515ycHMk+SVdXl5gysFdN6z+WOZnp8oaE86BGoxE+n09GinJyctDc3CzmCY2NjWnlZL7nrAww46YblMfjQW1tLaxWq2TD4XAY+/btA3Aw8Pf19YlH9NDQkGTQFosFZ511loi0uDwg9QbG5XLBbDZL6Zb91ng8LjO8zLb5GfG10anLbDajvLxcHJdYTj755JOxadMmnHPOOXJDpBz7aFn4CKFl4WMHKnObmppk1pUjL8xC2KNk389ms4nVXSgUQnFxsahvuckGgGSvtOIDIGvZaPDAHmdRURHC4bCYW6T+/eHxmGV3d3enBT+WNC0WixgZDA0NoaWlBa2trVi8eDH6+voQDAbFjYlzpLwBMJvNssCApvAMLPRM5q5Rztgyc+f5RaNRmEwmUd0ODAygubkZtbW1Iixi9sq+LUutdIWyWq2yp9dgMEjQ6urqEo9jZpilpaXiIkV1Lo/DcjGzwqGhIRQXF4tjFQ3/OWPMsRpm+B6PR8ZwQqGQKJu5i9Xj8YhwiqVzPi+/drvd8Hq9EmyLi4tRV1f3icbvytGHloUV5e/AZDLB4/FgxowZKC8vlwyK4qLUgMuyIDMe9jmZsbFsS3Uus1Z+zR2hALBnzx7Y7XYJZCyD0nyCgTOZTKK7u1uCDfuVqavdbDabnPfAwIAIeObOnYuFCxcikUjA6XSivLxcxoA4EkJrQZZ12XulYQbL3RR7pRotAAdvHLZv347Ozk5ZqUYBVHt7O3w+nwScwsJCESp5vV5ZCpDqExwMBqU8zVKqwWBAeXm5CLto1MByOkekwuEwenp6RMHNrJrjPrwJ4J5XBvze3l55TXxfent74fP5EA6H0d3djb6+PkSjURQVFcHlcuHZZ5/F9u3bYTAYxHKSPeiRkRG4XC54vV7pjVdVVWHatGkaWI9TVIqmKJ8Ax11o9v/2229LJpLqm8vSa2o/NB6Pi1MPAzHFUj09PQAgYzjsl+bl5aG4uBihUAhOp1MCLkvCtPfjJhmOo1C1zLlIloZpus9xF17omb2lLnsvLi6W3i+XqLPMzdfKP9OAn+VSOg0BEAMHznHa7XYJzgxoFosF06ZNk/41DTy4Z5Vq2lQbRbolUeSV6hLFG4toNAqn0yk3G3RN4no3bqZhfzc/Px8+nw/FxcVp235YbqdKlzdNzO6zs7NhMBhknRxwcGH8wMAApk2bJgsLfvazn2Hv3r34/e9/j+rqatnnWlBQgIqKCtTU1IhXsnJ8opmronwGOTk5KCsrw2mnnYbi4mIpYXL3aepmFmZNDGJcLs7eIFfH8Rg0IODv2+12MWagCpcXeafTKcEwdRsNxTGRSAQtLS3igsRSNMdSeH7hcFjW8HEZAVW+qb1Z7qxlOZpiJfaNAcjNRTAYFDUs1brz5s2T/ueOHTvk3B0OB8LhMOLxuHgAcx51/Pjx4tBEoZTX65UbGs65Op1O8Xs2mUxpwq5QKASv14uOjg5RejPrt1qtEuizsrJkJMdoNMpcan9/P/bt2yeLzDs7O9M2AgEHM/zBwUF4vV4MDw9LFaG8vBwejwfZ2dk477zzcPbZZ0vP3GQywW63Y968eZgxY4YG1jGA9lyPENpzPfZJJpNobW2Fz+eD1+tFNBoVYQtnQBlgOBLDheJ0XmJGNjIyImM67CP29/fjzTffxJlnnikLsjl7mp+fLypc9hE5MsMRHvZn+U+ajkcsnVL8tGHDBtx+++14/PHHUVpaKkraWCwmm2FobtHX1ydBmnaQ9BSmOCp1eTznabl5hoYVRqMR4XBYysSpYzUUDzHj5BJ19l2555a/w1lQi8UiVpMmkwmBQCDtOHy9DOAcfeEoDbPg1JsU3mxwHaHf70cymZS5XQCS1XNOlYGSSxa42L23txfV1dVwOBwoLCzEjBkzPuakpRxbqImEohwGDAYDPB4PqqqqsGfPHnR1daG7u1vmUhloOO/ITJCGFOFwWPp+VOMmEgl0dnaiqakJjz76KJqamjB79mxYrVYZ7WBwY993cHBQSrR5eXno7OwUxyaWLjlfSnN/lqxHRkYwZcoU/Nu//RuAgzO+nOVkWTcYDMLhcMDr9YrhPM3mOSpD5W8kEkFBQQEikQhcLpcEULohAZCs1e/3o7e3FxMmTBDLSL5fvNFwu92w2WwIBoOSMdOQg3tMh4eHsXfvXng8HrjdbrGPZHkYgPRnUwNpqu9wX19f2nq9VNOO1M+b77XFYpEsmRaFNOLnzUjq3wNmu1OmTIHD4ZCStTJ20Mz1CKGZ6/FHZ2cn9u3bh+7ubinb9vX1iYCJwhwGOJofAJCAy1nJeDyOnp4evPPOOzjxxBORn58v5u+cO6UoiFtrDAaDbM3h3C0DBMVFhDtQ2a9MHSXheAkNFpiB0v2IPWAKpKh6pRKZ50+VbUFBAaLRqAQvbp3hqI7NZsPw8DB6enoQi8VkPIVK7NQNNRSApbpGUQwFQG5S6D/M+VGWw1OtEjlvm1oyZ087HA6juLhYes5msxmBQED6y0ajEQ6HA83NzXA4HHjkkUewcOFC2Gw22YbE8av8/HxUVlbC5XKhoqJCg+pxxBe5jmtwPUJocD0+SSaTaGlpwcDAAPbt2ydznJyV5fJtioIYGJnN8Xs0O2Bps62tDVOnTgVwcK9pR0eHZGmcBc3LyxNxE03kORfKDI9BhAIqOjbRrm9gYECUxVQKc3SGRgr02I1EItLHrKmpkfnT1PJvfn4+ent7xRh/eHgYVqtVzqugoECeh8b0LMEuW7YMdrsdf/zjH2VkhpaDfK8/LVBx1IUjUtzKYzQa0d3djZKSEsmCP/oz7GMHg8G0nbsM7uxVc2aVN0kUWxUWForbVE1NDaqqqtLW3inHD1oWVpQjhMFgQHV1NZLJJOx2O/bv34/du3cjGo3KqInVaoXP5wNwUFlKsQ6DEBW29L2NxWIoKysTdXIwGERpaSmysrJkTRrXmKWqW/l4f38/HA6HZGYsSVNRHI1GZS6XZVP2b7Ozs8XlKBAISLmZJdnu7m4UFRUhGo2KIjknJwc9PT3SO03tXxqNRvj9foyMjCAQCKC2tlZ60uyTsoRaU1Mji839fj/sdrtk5qFQSJbB86aFSwJ8Ph/6+vqkJGsymaQHHA6HUVJSIu8vM3QG2NStQMBBFTeDrMFgkPMoLi5Ge3t72h7WgoICFBQUoLi4GBaLBTNmzEibQVbGNpq5HiE0cx0bJBIJ+P1+7Nu3D5FIROZhWW7l2rOioiJ0dnZKcKUQh3OjDIocs+HjLPkyA6YqubCwEAMDA4hEIuju7kZ5eTkKCwvFSIEZallZmcyfcvyFLkscMwmFQmJqn5ubK/64OTk52Lp1K2bMmCFuUhRZcW6XM53sNXPnKf/MMi1fX05ODqxWq4zhcIyIf2bZnFtuTCYTent7UVxcDK/Xi1gsBqvVKs5QtKO02+0YGhoSG0tWEHJychAMBuVmYffu3Zg5cyaysrLS7CrZ7+7t7RUXqObmZuTk5GDbtm34h3/4ByQSCTgcDjQ0NMiojnJ8o2XhoxANrmML9ifb2trQ3t4OAGKlyKxu//79mDx5MhKJBHp6euDxeCSIMbBwS8vIyAja2tpQVlYmBvwWi0UWpnO+kr/LjJTPx74hnZD4PLTh46hNYWEhAoEADAYDSkpKpFzMGwD2ckdGRmC32zEyMiLr5Do6OsRCEYD0crl5KNUaMj8/X3q09Cs2GAzS++zq6hLThdLSUlE7c2MRV8txLpYZb3Z2Nvbs2YO6ujpYrVb4/X5RE9P9iW5b3PTDBQzJZBJOpxMAxH2K4qTh4WFZ6lBYWAiLxYJJkybB5XJpUB1DaHA9CtHgOnbxer3Yt2+fGMjzQs5MlYpfh8MhIy7M8lhCZa+VxgXMPO12uxjqM/MCIKpZjtcMDw8jEonI6A7NEZgRM6tmTzSRSMjIidVqFQOMRCIhAiVmeZzP7e3thdfrhdPpFLU0R4dycnLQ1tYGt9stS965rJ6ZYTAYFP9gzs0CkPEWu90uNwNUPvO1cGk7d9myL8qFA8DBUZni4mIEg0EJlLR6ZGmc88g8Z4rTOIaTlZWFWbNmidGFMrbQ4HoUosF1bMOA0dzcjM2bN6OpqQlTpkyRgLh+/Xq89957WL16tQQzmjCkmihQDMVSKTe2jIyMwGazSUbG0mt2djYKCwsRDocRjUYRCARk7jIej8vGnNRA/lHhEB2Ykskk1q9fj/POOw+Dg4MAID1Ilr65is9oNCI7Oxu9vb2iAGZJPJFIoK+vTwItg3x+fj78fj8ikQicTqeM6jCI8TgdHR2yUYcL5OnLnJeXB6/Xi7KyMsm2GcCZNbMk/NE+LH2imWlTYVxSUoLi4mLU1NTAbDZrT3UMo4ImRTnKYDY6adIkTJgwAfv27cPAwAD2798PALj33nsBQNS5NJLfv3+/bGPhSAy9eMPhMFwul1gqdnZ2wm63w2Qywe/3y6o6jtGkzpWazWbYbDYpldLZyWazybxuLBZDZ2cnSkpKEAqFUFBQgKamJvT29sqSAJaJeWyLxSJmD83NzfK7XOjOsSKa8XNXK12riouLxS0qGAxKBs3M2OFwSC84HA4jGAyirKxMlMupz8Wgyh42n4Ovl7O53CLE9XZUdk+fPh12ux1lZWVSNleUQ0Uz1yOEZq7KJxEMBtHY2IgPPvhASp8ss7KMnEgkxPiA4x4DAwNpRhG0CqyoqEBBQYGIbfx+f9oidPr+UuC0c+dOuN1uCT60ECwrK0M0GkVLSwtqamqkT8vyNbNe3giEQiHE43ExgOBuVKqYeUPAOdfc3Fx0dnZKVspAX1BQIL1g7ol1Op0yOkTrRB6ffVyeP4MjVcsAxDWLfs2RSATRaBRWq1XGgyicys3NxYQJE1BaWqoiJeVjaFn4KESDq/JpsK+3Y8cO7N69GzabTdStPT09qKurw4EDB8SxiGrjvr4+6VtGIhHZG0txD60NmWUODQ2JcxJVx1w7Z7fbxZ0oEolID5SuRNnZ2Wl9VG7MCQaDIm7ivCdXtwF/W33HkRcGPzofUfBEj+XU9X5cewccXAPIkizFWFarVYIr/ZKZ5fb390vQzM3NRSAQkABvMpnw3nvvYcKECYjFYpg8eTJsNhucTqeohBXlk9DgehSiwVU5FGi80NHRgb1794qBAoNaIBCQUnBubq7MnUYiEdjtdnFVKigokGXg3G/KIFlYWCiCoEAgIEGovb0dNpsNNptNPH7LysoQDAbFXJ/CKK7VA/622QaAGFTQPYpjP9z5SutHANJr7e7uRnFxsYztuFwuBAIBUUBz8bjNZpPXTWtJBmJmrjSooCAqdaSJ7k4UTZWWlsLpdKKiokLXvimHhPZcFeUYhcvIa2pqUFNTg/7+flnGHQqFJNPjmjaXyyUK32QyieLiYnzwwQeoqKgQYweaQ3D7zvDwsKiJCwoKUFRUJFlhMpmUxebV1dXo7u6Wx1ONJnJyctDS0oLCwkJZPUdjhVSDe+7Dpck9Tf0p5IrFYrLIgHtqm5ubUVNTI6VsLkrnaAzVwBR+dXR0IC8vT3q2w8PDMrNL1yoeq7a2FuPHjxeFsoqTlMOFBldFOYopKChAbW0tgIMl1mg0iu7ubgQCAQwMDMhmHpvNhtbWVvHqpXEEy7l+vx+xWEz2l9psNkSjUUQiEeTm5soxmPlFIhFRKbNMDUAM/Dk7y7LxR40hRkZGRL3b2dkpG3a8Xi88Hk+aure9vR0TJkzA0NCQnB/nfBOJhMyi0j+Ym3m6urpQWFiIyspKRCIREWvR8So7Oxvjxo2D3+9HbW0tXC6XZNWKcrjR4KooxwipdnsMPoODg2htbUVHR4espotGo7LRpqurS7bp0MWJymVmj8wGfT4f3G63BNZgMIh4PI6BgQGxBeRSdaPRiJKSElnrlrrj1e/3i2KXu1RpdlFWVibCI/oRV1VVyUypz+eTJen0Z87NzZWFCByj4XwwAITDYTzwwAN49dVX8fTTT8PlcsHlcsHtdkvPVlGONNpzPUJoz1U5XHBsJhAIYHh4GMFgEMFgEP39/bKQPBaLISsrC36/HyUlJYjFYh8LVPv374fVahV/XBpXcNbWarWK0Ii7XWkaYbfb0d7enrZ2j/teOzo6ZMNPUVER2tvbUVlZiZaWFhFSORwOhEIhvPPOO6ivr8fg4KAspw8EArDZbIjFYmJdyKzX7XajpKQEQ0NDeP/997F8+XIpnStKptGeq6KMIdhbLCsrS3t8eHhYln0bjUZ0dHQAgPRGBwYGUFRUJMYSFAmxBPxRg/zu7m7Z5sPF40VFRSIs4hIBmlfQEL+goAAvvvgiAGDu3Ln43e9+hyVLlmDq1KkYHh5GU1OTrKHjmJHBYEgbzRkaGoLJZEJDQwMcDocIkpjlAsCpp556BN91RflsNLgqynFKbm6ubJIBgOLiYkydOlXGd3w+H6LRKAoKCtDX14fBwUFZkl5aWirzppy3zcrKEhvE3NxcFBUVifdwJBKB0WhEbm6ueAbbbDY0NzcjHo/joYcewhlnnIGsrCx8+9vfhslkEoP9yspKmM1mOBwO9Pf3o6KiAj6fD6WlpXC73SKyoouUohwLaFn4CKFlYeVoJZFIyF5ZAGhra5OAFggE0NraKoYRXq9XRmgoPOrq6pI1d5MmTRKhldvtRltbGwDAYrHAarWis7MTgUAACxYskG08XLFHj2OdM1WOVrQsrCjKIUOTe1JTUyN/LikpQV1d3Sf+Hu/LKayiaxPLtJ/1O5+WgWpmqhwvaHBVFOVLwUDIBeVf5HcU5XhH6y+KoiiKkmE0uCqKoihKhtHgqiiKoigZRoOroiiKomQYDa6KoiiKkmE0uCqKoihKhtHgqiiKoigZRoOroiiKomQYDa6KoiiKkmE0uCqKoihKhtHgqiiKoigZRoOroiiKomQYDa6KoiiKkmE0uCqKoihKhtHgqiiKoigZRoOroiiKomQYDa6KoiiKkmE0uCqKoihKhtHgqiiKoigZRoOroiiKomQYDa6KoiiKkmE0uCqKoihKhtHgqiiKoigZRoOroiiKomQYDa6KoiiKkmE0uCqKoihKhtHgqiiKoigZRoOroiiKomQYDa6KoiiKkmE0uCqKoihKhtHgCuCWW26BwWDAqlWr5LHBwUGsWLECTqcThYWFuPDCC+Hz+eT7TU1NMBgMo3C2iqIoytHOmA+uW7duxW9/+1tMmzYt7fHrrrsOTz/9NP785z/j9ddfR0dHB/7pn/5plM5SURRFOZYY08E1Eolg6dKluO+++2C32+XxYDCI3//+97j99tuxcOFCzJ49G2vXrsWGDRuwadOmUTxjRVEU5VhgTAfXFStW4Nxzz8WiRYvSHt+2bRtisVja43V1dfB4PNi4ceORPk1FURTlGCNntE9gtHj44Yfx9ttvY+vWrR/7ntfrRW5uLmw2W9rjpaWl8Hq9AIBx48YhmUweiVNVFEVRjjHGZHBtbW3Ftddei5dffhn5+fmH5Tn6+/sRCoWQSCSQSCQQDocPy/MoiqIoR5b29naEQiFkZWUhKysLRUVFKCgoSPuZMVkW3rZtG7q6ujBr1izk5OQgJycHr7/+On71q18hJycHpaWlGB4eRl9fX9rv+Xw+lJWVHdJzrF69Gm63GxUVFaiqqkJ9ff1heCWKoijKkaa+vh5VVVWoqKiA2+3GmjVrPvYzhuQYrG2Gw2E0NzenPXb55Zejrq4O119/PaqqqlBcXIx169bhwgsvBADs3r0bdXV12LhxI+bNm/e5zxGJRNDT0wMAMBgMiEajqK+vRzAYRFFRUeZflKIoinJYCYVCsFqt2LFjBwoLCwEAiUQCTqfzY9f1MVkWtlgsmDp1atpjZrMZTqdTHr/iiiuwevVqOBwOFBUV4eqrr8b8+fMPKbACQGFhobz5wMEPRVEURTn2qaqq+twkaUwG10Phl7/8JbKysnDhhRdiaGgIixcvxj333DPap6UoiqIcA4zJsvBowHKCloUVRVGOTb7IdXxMCpoURVEU5XCiwVVRFEVRMoz2XI8QrL6rsElRFOXYhNfvQ+mmanA9QtBEoqqqapTPRFEURfl7CIfDsFqtn/kzKmg6QiQSCXR0dMBiseiqusNAe3s76uvrsXPnTlRUVIz26ShfEv0cj31aW1sxdepU7Nq1C263e7RPJ6Mkk0mEw2GUl5cjK+uzu6qauR4hsrKyUFlZOdqncdzCco3ZbFY19jEMP0eLxaKf4zEK5/uP18/w8zJWooImRVEUJeN8XmZ3vDO2X72iKIqiHAY0uCrHBQ6HA8uXL4fD4RjtU1H+Dmw2G5YvX/6xdY/KsYPT6cTy5cuPy5LwF0EFTYqiKIqSYTRzVY5KmpqaMGfOnNE+DUVRlC+FBldFURRFyTAaXJWjllgshssuuwyTJ0/GxRdffEiuKF+EpqYmTJ8+HUuXLkVtbS2uuuoqPPHEEzjppJMwdepU7N27N6PPp3w59HM69hmLn6EGV2VU+fWvf41x48YhPz8fJ510ErZs2SLfa2xsxPXXX4+dO3fC5/PhzTfflO/dfPPNmDt3LiwWC0pKSnDBBRdg9+7dX+j4fI4f/vCH2LVrF1577TW89dZb2Lx5M66++mrcfffdh++FjyHeeOMNLFmyBOXl5TAYDHjiiSfSvh+Px/GDH/wANTU1MJlMOOGEE/CTn/wk7WZKP6fR5fM+Q+CgAcill14Kp9MJk8mEhoYG/PWvf5Xvj7XPUIOrMmo88sgjWL16NX70ox/h7bffxvTp07F48WJ0dXUBACZNmoT6+noYDAbMnDkTTU1N8ruvv/46VqxYgU2bNuHll19GLBbDV77yFUSj0UM+Pp9j0qRJyM7OxuTJk7Fo0SIAQENDQ9rzKV+eaDSK6dOn49e//vUnfv/WW2/Fb37zG9x9991obGzErbfeip/97Ge466675Gf0cxpdPu8z7O3txYIFC2A0GvH8889j586duO2222C32+VnxtpnqA5Nyqhx++234zvf+Q4uv/xyAMB///d/49lnn8X999+PSy65BHl5efKz2dnZiMfj8vULL7yQdqwHHngAJSUl2LZtG0477bTPPf4NN9wAAGnPkZWVJV9nZWWlPZ/y5Tn77LNx9tlnf+r3N2zYgPPPPx/nnnsuAGDcuHFYt25dWpVBP6fR5fM+w1tvvRVVVVVYu3atPFZTU5P2M2PtM9TMVRkVhoeHsW3bNrl7BQ7+I1u0aBE2btz4hY8XDAYBQOZcM3185fBx8skn45VXXsGePXsAAO+99x7efPPNz7yYK0cXTz31FObMmYOvfe1rKCkpwcyZM3HfffeN9mmNKhpclVHB7/cjHo+jtLQ07fHS0lJ4vd4vdKxEIoFVq1ZhwYIFmDp1asaPrxxebrjhBlxyySWoq6uD0WjEzJkzsWrVKixdunS0T005RPbv34/f/OY3qK2txYsvvoirrroK11xzDf7whz+M9qmNHklFGQXa29uTAJIbNmxIe/x73/te8sQTT/xCx1q+fHmyuro62draeliOr2QOAMnHH3887bF169YlKysrk+vWrUtu3749+cc//jHpcDiSDzzwwOicpPKZfNJnaDQak/Pnz0977Oqrr07OmzfvCJ7Z0YX2XJVRweVyITs7Gz6fL+1xn8+HsrKyQz7OypUr8cwzz+CNN95I2zqUqeMrh5/vfe97kr0CBwUuzc3NuPnmm3HZZZeN8tkph4Lb7UZ9fX3aY5MnT8Zf/vKXUTqj0UfLwsqokJubi9mzZ+OVV16RxxKJBF555RXMnz//c38/mUxi5cqVePzxx/Hqq69+TDzx9x5fOXL09/d/bINKdnY2EonEKJ2R8kVZsGDBx0bh9uzZg+rq6lE6o9FHM1dl1Fi9ejUuu+wyzJkzByeeeCLuuOMORKNRUfd+FitWrMBDDz2EJ598EhaLRfqoVqsVJpPp7z6+kjkikQj27dsnXx84cADvvvsuHA4HPB4PlixZgp/+9KfweDyYMmUK3nnnHdx+++341re+NYpnraTyeZ/hddddh5NPPhn/9V//hYsuughbtmzBvffei3vvvXcUz3qUGe26tDK2ueuuu5IejyeZm5ubPPHEE5ObNm06pN8D8In/rV27NiPHVzLH+vXrP/Gzuuyyy5LJZDIZCoWS1157bdLj8STz8/OT48ePT954443JoaGh0T1xRfi8zzCZTCaffvrp5NSpU5N5eXnJurq65L333jt6J3wUoFtxFEVRFCXDaM9VURRFUTKMBldFURRFyTAaXBVFURQlw2hwVRRFUZQMo8FVURRFUTKMBldFURRFyTAaXBVFURQlw2hwVRRFUZQMo8FVURRFUTKMBldFURRFyTAaXBVFURQlw2hwVRTlmCAWi432KSjKIaPBVVGOM8444wysXLkSK1euhNVqhcvlwg9+8ANwR0dvby+WLVsGu92OgoICnH322di7d6/8fnNzM5YsWQK73Q6z2YwpU6bgueee+9TnGxoawr/+67+ioqICZrMZJ510El577bW0n3nggQfg8XhQUFCAf/zHf8Rtt90Gm832qcdsamqCwWDAI488gtNPPx35+fl48MEH0dPTg69//euoqKhAQUEBGhoasG7dur/r/VKUw4EGV0U5DvnDH/6AnJwcbNmyBXfeeSduv/12/O53vwMAfPOb38Rf//pXPPXUU9i4cSOSySTOOeccyQxXrFiBoaEhvPHGG3j//fdx6623orCw8FOfa+XKldi4cSMefvhhbN++HV/72tfw1a9+VQL25s2bccUVV2DlypV49913ceaZZ+Kmm246pNdxww034Nprr0VjYyMWL16MwcFBzJ49G88++yx27NiB7373u/jGN76BLVu2/J3vmKJkmNHdeKcoSqY5/fTTk5MnT04mEgl57Prrr09Onjw5uWfPniSA5FtvvSXf8/v9SZPJlHz00UeTyWQy2dDQkPzxj398SM/V3NyczM7OTra3t6c9ftZZZyX//d//PZlMJpNf//rXk+ecc07a9y+++OKk1Wr91OMeOHAgCSB5xx13fO45nHvuuck1a9Yc0vkqypFCM1dFOQ6ZN28eDAaDfD1//nzs3bsXO3fuRE5ODk466ST5ntPpxKRJk9DY2AgAuOaaa3DTTTdhwYIF+NGPfoTt27d/6vO8//77iMfjmDhxIgoLC+W/119/HR9++CEAoLGxMe35eD6Hwpw5c9K+jsfj+MlPfoKGhgY4HA4UFhbixRdfREtLyyEdT1GOFDmjfQKKohxdfPvb38bixYvx7LPP4qWXXsLNN9+M2267DVdfffXHfjYSiSA7Oxvbtm1DdnZ22vc+q5R8qJjN5rSvf/7zn+POO+/EHXfcgYaGBpjNZqxatQrDw8N/93MpSibRzFVRjkM2b96c9vWmTZtQW1uL+vp6jIyMpH2/p6cHu3fvRn19vTxWVVWF5cuX47HHHsOaNWtw3333feLzzJw5E/F4HF1dXZgwYULaf2VlZQCAyZMnf+L5fBneeustnH/++bj00ksxffp0jB8/Hnv27PlSx1KUw4kGV0U5DmlpacHq1auxe/durFu3DnfddReuvfZa1NbW4vzzz8d3vvMdvPnmm3jvvfdw6aWXoqKiAueffz4AYNWqVXjxxRdx4MABvP3221i/fj0mT54sx66rq8Pjjz8OAJg4cSKWLl2KZcuW4bHHHsOBAwewZcsW3HzzzXj22WcBHCwzv/DCC/jFL36BvXv34u6778YLL7yQdr5btmxBXV0d2tvbP/N11dbW4uWXX8aGDRvQ2NiIK6+8Ej6fL5NvnaJkBA2uinIcsmzZMgwMDODEE0/EihUrcO211+K73/0uAGDt2rWYPXs2zjvvPMyfPx/JZBLPPfccjEYjgIN9zRUrVmDy5Mn46le/iokTJ+Kee+6RY+/evRvBYFC+Xrt2LZYtW4Y1a9Zg0qRJuOCCC7B161Z4PB4AB/u/9913H+68805Mnz4dL730Er7//e+nnW9/fz927979ubOs3//+9zFr1iwsXrwYZ5xxBsrKynDBBRdk4i1TlIxiSCb///CboijHBWeccQZmzJiBO+64Y7RP5VN54IEHsGrVKvT19Y32qSjKYUEzV0VRFEXJMBpcFUVRFCXDaFlYURRFUTKMZq6KoiiKkmE0uCqKoihKhtHgqiiKoigZRoOroiiKomQYDa6KoiiKkmE0uCqKoihKhtHgqiiKoigZRoOroiiKomQYDa6KoiiKkmH+Hz8C5uMt5GDZAAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1049,13 +1067,13 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "id": "bf499ce5",
+   "id": "e1c97126",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.PathCollection at 0x7f6cc11b6c20>"
+       "<matplotlib.collections.PathCollection at 0x7fae804ca890>"
       ]
      },
      "execution_count": 24,
@@ -1064,7 +1082,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1085,7 +1103,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bc809cee",
+   "id": "4dfcba87",
    "metadata": {},
    "source": [
     "## 14. Try visualizing a cutout of an SDSS image that covers your position\n",
@@ -1100,14 +1118,14 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "id": "133c9ef6",
+   "id": "b19ae61c",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=21</i>\n",
-       "<table id=\"table140105072997760\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140387489076640\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ivoid</th><th>short_name</th><th>res_title</th><th>source_value</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>\n",
        "<tr><td>ivo://mast.stsci/siap/al218</td><td>VLA.AL218</td><td>VLA-A Array AL218 Texas Survey Source Snapshots (AL218)</td><td></td></tr>\n",
@@ -1174,7 +1192,7 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "id": "9eb2fe35",
+   "id": "03c0ecaa",
    "metadata": {},
    "outputs": [
     {
@@ -1198,7 +1216,7 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "id": "b40057d5",
+   "id": "1f57ba68",
    "metadata": {},
    "outputs": [
     {
@@ -1220,7 +1238,7 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "id": "077d0792",
+   "id": "ff9560f4",
    "metadata": {},
    "outputs": [
     {
@@ -1241,7 +1259,7 @@
   {
    "cell_type": "code",
    "execution_count": 29,
-   "id": "af7a78c0",
+   "id": "70319342",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1254,7 +1272,7 @@
   {
    "cell_type": "code",
    "execution_count": 30,
-   "id": "bedd8278",
+   "id": "538c0c7d",
    "metadata": {},
    "outputs": [
     {
@@ -1267,7 +1285,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.PathCollection at 0x7f6cc0f18640>"
+       "<matplotlib.collections.PathCollection at 0x7fae803f7cd0>"
       ]
      },
      "execution_count": 30,
@@ -1276,7 +1294,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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CmpHh78PDwyZ5yv4wboC1ZWx95HfK2Hrl7/EbtgPPtxMfM9IUJzPMCeOhbm/FMNBknra3txtAD2hI4Gmf7qVV26hBs/Wd+bU8kN1rr73W2kB/eHjYejDCft1+kDHwmeOB54/PfK3ZIScYaSu2D3S36twf3L17tw4PD5u52t/fr+3t7QZc2p5tY5ab/bRtxPEQmTGfbNgnBuEjvI8NfTB4Ziw8ZPb7v//7dXBwUK9XNoDrCpVcGnA2XHXxSalc+qlqBylnLzZcK5CNyugfR+usnTpQxqr1Pp5HH3201Vc7bP5frVaN40lDxKCcnTtT4lqeNEmgQhuWHXU7A0rghyFSvCxCnfm/lzlMyZshc9ueFy8ZmuVCbtPptKqqRZt77gweusCoAZABAQB2Pp+3NujamXsfoBkp2jW48H4hZ/sG+fSJIGv20KDSS3eDwaD29vZaMqQPLEuQWVqeXnJIO4BhTRBP/fRlMpk0QRkHzFxbB7qyeACaWUsHd1g+GEHaJiDbRmjDLIL1zIC2qi4wNmYhmCMnDv7c7Azy438vjWXQ4Rr7COrPpWPrp/WN8fjpN8bseTHDwLxj/2ZjUg5mOA3kusAFnxtk+XMSM35bTlyD/jMm7k/ghPzH43EneLBtOcHyElsXWwk4efTRR+vWrVv18ssvV1XV9evX6+DgoJUYUjc6Sl+Qb+qnn/oE7HmJ0X7GCYjtx6Cr318vOfZ6vXr55ZfrD//wD+u5556rnZ2desc73lFve9vbamdnp1k5sL9yEmTAyBOPyAhm1Mk5emGWGV3GV3jvaI6fYj9w2bIBXFeoeC3fxuosys42WQgUCSWxI+jKMFDUrqdCaNcZdtUaDBLY3G6u9zvrPD09bYINfTRI8BJkBp2qarEpXG+nX3UxIJut4ZwX2nNGXrXew2AnYWBlJog9XJaJQY7HYFbBDo/2ADl2WgmM6bNpbs8JjmM0GjWZLUuG1qXt7e2aTqd1+/btGg6HzdNK9IV7rIPIxBkxS9rWReshsqVOBzj0xmxuZpJmFKnfDpv/DV67WAazMcjVDLHrhoUxeEwdMzvkQGeAapaV/VjD4bD29vaaRIHCmA1QuwKBgyC6QN0s99G+QY11xKyGddhBw/brwIysbQ8GOW5nsVg0T5P1+/3a29trsdIOytRPPbns4/n1uMyQoU/b29s1m80euMRoRhlfslqtGoaDuUNfmBt8C+OdTqd1eHhYy+WyWfLnt/UUticTR3watuI27du6mHQfA+K2rE+9Xq+uXbtW3/M931Nf+9rXajAY1JNPPlnXrl1rvjejZ911suBEyvPuufKWDvsp6yP35MoK9c7n85pOp/Xyyy/X//yf/7PlH5555pmWz0envfHdCaf9L36NZX+zidZ1dNd+Z7lcP1XOZ5kAul8bwPUtWjIYoxwOvHYiVe3HszFWAw0rFQpjZgXjgV61E7ajTzYGZ8T1SetzD3XnxnWMBMNIBsmAzM7ZvzNbIYhkNuSA0AUgaduP0OMoyeIMEumD+75cLi8sFWUgZb4MaDMoHBwctDJxAzD6bwdkYOFAh0PqAoIsze3u7jZjod84Q+TrvhEAfQ0y8mZvsyxZvMma6x0AzCg4ADBmz52LHZ/l5yBHkHAASaaPe8wSM2+eEy8R0T+DHicly+Wy2ZOWy/fuu9lJs9fI3Q8l5N+2PYNlgLaXJ5G/dSOXtDIhol7rLzrjefbmeSd21mNvTDaYt70hF+TnubIfQk6ea+uP7dS6h2zwFa67318/kcq17C187rnn6nd+53dqOp3WX/pLf6ne9ra3Nfc4sXK/FotFi83yUheAD//LOP0UneVoMO6xeQ6uXbtW4/G4nnzyyQY00J6TPi+9Ws4wPABH+z8Dx1zizYNXrV8G6P7eyRL2wt9uL23UYMc2S7+6/IT1wTZnsEU7bNOwvzCj520YtuWHlQ3gumIlnZ2N1krPtVZssl0MyQxOOmEyPRwR2bfrJwPzZlYHKJyVGQkCDYDPSo2B4ihpy2DEy0VJszuTQCbUwbJUnull5+dA4PpxsGYHM1NFHl0AhjGy4ZPvze7QX9o0WDOjYtbE7BRzeXp62syLgxXjtDydlXHPaDSqW7duNfJAvgY6Gbi4znOIvJNFMgDp9XrNhtjcpM8TmGYZer31BtRcrkH+1G2GEdnZRjyOBASZ0cNIZYAzwDdITtt0vd4sTd8sG+yJz3Nfidk+A0UHPeaWvlkHuMbsBPUnqEP/fH6fM3rm2EtsyNnMsAGP23IwZSzoIfWZSTFblgHQNuk2kJ+DtWVk0Ov++gEaB3I+M/DjmtlsVl//+tfr//yf/1NV58tX73jHO1pyy+SQhBQfZD9jPbVvSPYS0ONxOwnCT52cnDSb8gF49iX5kEOCDfwsfoS6vacpbZKCvlqOBka+L5nd8XhcTzzxRP3Vv/pX63/9r/9Ve3t79e53v7t5kpY9uGaIk5FCbgZD+D2uJUnhoaFMvnP+GD9zwzx5T9mDwN2DygZwXaGCkmAodn4UZ7/O4nBosBR24g6eFJwmTt8ZVFX79STOJBzQDAa9SdKG5+MOMFwDJZTcy2WM05kR4/AmecZI8O33+zWdTluOE1oZxiqdgE/LTwA7HK5PoE82w6wWANKOF4fpzN1Bz8yB93v4Hs9d1fqpGOSBA7WDMeuXWSb3ew8XbaBvnmuDLbMZBF326iATdNhOyAHP+geAztdrIOOuAP6gZdwE/e5P6lAupcB4WCerqmVfVeulUYCX+4Fewvj6c+qy3TEub8LOvrq/DsjWoa49NPYPaWsGdeij54J+8z8ydsJloGc5ZdBxe/Yj9hOZDFgWyXCwd9NAAb3Hb7l+s0fYiIGuAY/nKueJsSyX5yzlo48+2lxz69atCwDcyeVsNmsduskcW9Z+qtlyRJ/NUnOd+2pb3d3dbcAAe1adwPnEf+8RdiJqhr5rGZC6Dg8Pq9dbn19oOTpRMVmATvh/dG1vb6++67u+q97xjnfU9vZ2Xbt2rSaTSd2/f7/u3btX73znO1u+Gv+aMQ4QinwtL8bPnBkAeo+WwRS6Z+CLr+xiqx9WNoDrihUHXiuUwUtVXTBQlIv7MQ47Yr6DwvZeozw5GAWzAXbRuwQbG5yzzXTQDlb+3hStHZSDAwwSWSO0P+ODNTHD4w25tIOsvDSKPPwU4XK5bDIh3+flEmTn7N1MDGMwO+Ggm/LBGZhFcIB2IMYp+iwjvuN/Awzm1Bt4neX5Mzsdj5/+GFQlSPCc5D4hByjrFfUmmEEmdqKpiwQmO3DmxaDJIIq5N1tAXV56YG6RiecGMI9uOvu2HOgLY7TtpgxzPgwM0SXmwmAqWWbG6b/NFtE/+sNeQoCjN77b5rjHeoUs+N7LMGbs6HvakEGbEwQ+x358lIgTP+utl07RhWSDzFg4APOZ59JAcnt7u77t276tPvzhD9fZ2Vk9/fTTNZlMLrDv9M/66fZTfsiZ+xiDfRdj8HI/MWI+n7eefgUQOJGz3qG31jvrj9khJ4rY0cnJSTOXtiEnh9a3TFTRC9vt7u5ujUajunnzZgOcV6tVHRwc1P7+fmuvW+qt7c62wz1mwtAbmEbmBd9hvWTsvBPWW03QG8/hZcoGcF2hgsHj5JPqrWpnzgm2nAlvb293Ls9Y4b1EVrV+Ms6Zr52jsxO3T9t+FNoKjJEkqKtqAzBnWOlEk0424HCQwlEw3tls1sjFh326WM70FYcFQDEwcLZppod+Wz6ANvfNDsCshrNf09ZdWbiZn+l02toAj+OzI6Ft/2+g5MDiuTPjRSA2iLFOWk+QY2alyK9r8yqBHWdocOWEIrPlqnMgfXJy0gJyBrkGIJmV0m6CIOaTLNcMD8s9OHyPzwDPSyseT9ol7XGNM+1cgrPdGIzlckeXfnmMTo78DkbPF8lXVfu4GPsn+u5Ey6CY/qEjXuai32lb1OFgxucO7Nzj1xQBiA1OTk5OOpf0rWcO5matHKwPDg6aV7bY91hP8R1e/k+Qx7x4OR2bcJtduk+f2YvJOVW2Jds4ugADD2AymLKt85n9GjLFBzj5NwByAu7vLVdkx8M3sIC5TSBBKnHR7Kjnj2IwRl2eJ9to1fo8veVyzTj6XvSEzzNJ8JlzDyubV/tcoWJH6OBtJmW5XDaHkJpad4ZOyezJr2axU6tqv8fNDImXrZwhGew5ePpx2nTAbOrmx0Cyag3woIsPDw8bQ0+Q1pUhMg4bOPLzsg19N5tlEGsw5X5xD8bqzb/unwNIBnbaMnCdz+eNbDw+O4VkkXC8BAHT5Ix3MFi/5Nc6APgyaHVGzj1mG5xJUrf7lZmm/zZANVD0WOi790Bl0mH9oQ7rRgZPnw1HH0g0DOqZAztm7MRA0n0msJAtO1Fh3PTDD48gM4MfM2cGS7mk9aCle8af9VsvM2Cjp8x7AnqCIYHOScxoNGo9MXd6etqA5K2trdYSP0yBdcXLpPP5vI6OjppEhKMNrDu2H4N6+yO/SspB0HbPfXyWDEUmpbksCzjY3t6u8XjcYhBXq1VzeK7rxW9SrxNQJz+UZMdoP8EzvhWwb1u1bXoeqCeBIrK2bwMkpm4iG4MxipP39AX2sbajyWTSyNKvKvJRLgA4YkvVmjE2qPbTk/SVzwz4zIJSFzY2m82apUL66YOHzeo5ubts2TBcV6jYAHO5wX/71QtmCSgGC5mVE5RyHZuAxT0EpaSl+d8Byg7dYI4x8Xm+PgQjtgPAMGezWUOV0/cEIrnPjCBAdkl9XuqDcXIgrmovHXTVX7UGpQ503vNm+Xs5IQFcOlSAp50735ktc3t2dNxjZsX7YWAWvYnfgIL6cSi05cDh+zxWZ+/OXhMQODu1blt2zpINqpgjA0czRw8KHgCFrgBqGXhZgbZSz/KpJNsfMsnrHaicmRtsIed8GgyZpT7lfDAuxuQDT816WBcTvKX/sH6lDiI/nghGrxgzy/yMhfHbV1hnV6vzlyn7yJUEVPTBY4BhxI9Y1zJp5X+YOvsk/reOMW73l0Brpgp7BGx5+co2DzBzYEZfsTkHds+tWShkOp1OG5+Rm/ttN0688vvcB+Unj53U8L/3+fKZGeTVatX4HJ7ITUDqOWVsBuDobPoA2xI+yaygGcBk0n1Cv/0SfsExgPGRlDi+ZsJolsvx7mFlw3BdoZJI2Yqf2b4z9gRYmYmjIHb0zuSq2lm3l17SmNMI7t6923odQ9XFpQ/6jUPxsk46UkDRaDRqvW09+161ZrMwDPac2XAxQjvJqnZANZuYcrBzhh2hTrMNXIvTIeu3c8FA79+/X/fv328xGjgSO3zPr1kM+pEOnL7hwJzpMRfUg3Nx5op87UTN7nj89Jt7M7P1E5vIy4wE9Zs9dCbOmAwynYEbGCUY8b4ls7+0YZ1iXHwPILfdGKgm22qWEKcMoGd5L/exMXbrtQO87ddzhTz4jQyYE28cd5DOYMU4GIsZCAMs1+u+IMdk5Rx4kj1Fl6gnQbdZCOYQ+aR+OWhiMz48l/p4CbITy2Rs7E/tVx1sR6NR40/wjchrOBw24P709LQFku2XAdQei5nGxWJ9rAsA3mARuQN0Myk0ALOOo6v0mwKjhFwSeDAGsz/WWcvZc8n/9Bk/aL32uOgbYBhfYR2hLmTM/9zr/7E/L6liFxn7nOzbb+A3fTYlemuQlb77MmXDcF2hksE+UbWRu7OGXHqqah8JULV28Db6rAOjQaGyXgywqhqlPD09rWvXrrUyIpSdNjO7dwZGJuTsMIEeyn/nzp3a399vvdwVhwzlzPW02yU3irMYly5mMbMej4GxGnDC0NFfZ0nz+bx5gsmPJ1tetOus2lmugSD7lxKs4WS9qd4Ay5vRrTvcn0AmASp9Qz8tDwcc5ofPvLnXjIHBHu24fZ4CtCP29wBtz58dr48/MGBjznyOkOt2Vu8nkwxGbVNV6+Vmrh0O18ewuO+eKy+NEdRdP236AQ7L2UmXl38N2qynnmPPAwWgaSYHOyAwOWD51S5mnwyavGcJmdrWqA85+/wqdN62SxvJULK3yXuonBxkv822WKftZwxwrVdcy2dml5GvXxXFj+3YtmdWCobGzE/XHkzHDq5j3gzAbWvIyed/+SxBxwr8FnXkhnQv1aNbJFT2LV6RsH9bLpct3Uj5DYfDBpRhA+hfkg3WZZhXg3N/z9i4drlc1tHRUfV6vdrf3++Mr/6xD7lM2QCuK1TMROSTZw5Uif4xKowIw8jjIfwbZbWTtcGaFcBR8xkK7KUALztQF4ZiZ4lBOBhXVd29e7eGw2HduHGj5VQBZc5iDKgMHpbLZStg2Rm5j86gHdBynAa+0Ph2BNRn9oRx7e7u1tHRUVVVc44M8r1+/XoL0LotZOg+UPjcThUQYP3x3HqjMw4NIGYH6mw7x5kPVyArnuZytmgd9m/k7iDvbNXg2IHNeuvgTF1mYKzXlqmDC4GB/w2srL+eGwMffszWWK9sSwZz+cRvBj3sGTu4du3aBdsl+zdwp3102sA+x2Z7Qy4GARSDADMJBKSuYOUgmv4J+1ss1nsIudYsgn0OeuozBblvNBq1EgxknA8XAAAM/Pjep51zhILBgPuTCVmyrD7axIkR/o/xm/FNgGXg4fnKZVkvmaXP97wyTiezTg6dVDgOOHly8bzwdz65bGBmkM41XI8uebM64DqTAcuOB8Ho/2CwfqckbxlwH5I992/iAmO2fHd3d1vycJy1vaBjtp2HlQ3gumLFWZM3/doBdoEKAg+Kkhm496Cg5FXrp618Zgufd2VjZFoos9+9R3BnL4eDD47T9KsdFMs4GJqdHc6R11NUtWnvzF6ph3Fwvc+0wViQuR0jfbM8nDk5q/KTjzh95O93AvZ6vZZTMLja2tpqLYnglMxoELDtdDPrN7h0xo8OOTB6E7RBHKwAfTDrmKAU2Xs5NDek81RTHp7L/jyDb2RnlsJ9ZnnC+zb4Ppemkz0wu4POmT2gXTMd1O8gaSCJbA0IDcT4PRqNGsaGsZrdQjcBWm7Xuoo8/JorvvPeOycm+Q5RZEAf3FcHJ+yL780emY1ljtEVz7/rpy8cOun2uc++z7JxYmAf4X2aTvTQCYCQX0hs0JFALm3ey0fYtgO5z8VjDhivgQV65XqRG/JGbuglfx8fH7eSWm+5cDLgZXHvpbO/Yt58VpznOEGiY4B9jGMEOtcFTj1Xrs+2hN50LblSMlEh1rgeb6j3GDMZtD+1HTtp4xgIEiWPjVjpJNtyfFjZ7OG6QsWBEEXEUdux26EZIGAoBgkoNQrqawg2ZgWs2Ha6ZBK05WyCtsywYAAsPbLEwLUO6P1+v/b392t3d/eBG7UBa34VB0ZiJsFgCFkBXFOu6eA9XjsygIj3IWFoztDd33RmXUxJ1TpjzCUbZJ7Li8jXsjeQTabCOuW+md0wa0qb1jGPx+yGl4M9nvxtUAW75uyYeg0gnbkDRNEp5pIAQT+ZaztDO2hvKCewELitQ5YjttO1ZGUGyW3zHXN5fHzc6qPBIHPAPePxuLWHjO98yGfqv/tr0G6bYCxOoHxfMhquy/d6rsyQWI8cNNFt+yAK9xkA0TeWBK1L9MmMCbbtuvJBFrdhYMKcGVgAeJCvbccJayYszI8TXtgzszROEEi0DN4TwLz44os1nU4vLClaDmat0SP8lZl8rrH/RnaeX48VO+dv5OJlV9sr95JAeb+b9YVxc69BHvLoSnjm83lzqr4Z10w60X18jpME9NHjtnwZo+WUscVzkQDx9coGcF2hAoK2waF4dhQosp2kA6PPuzKVjJNNJsgOgUzLGYedtzMe6iDwslnYGzf5vGpNvds5mOWqarNvGC4ZBdf50D4HGjsJb9qmIAuyVAM+xufAZieBUVIM6uinAaYdE2MwoDNwcRsEWOaZOnDOGLnZAy+t+PF8xoFM+N+O0EuCAEvqXiwWLb0zg4mzTubEe/zMWjiA0ocEAHayBg4OYF5Wv337dvOybgM028zZ2VmdnZ0113l5Jm3E+o3ecP5W6oplamYi9cly9Ly5Dzj3DLbIxOxzMrfoNfpmZsm2YRlaDwz20GMClW3x7Oys8U2AygSN9NuMswEyNsT3gCAvdTqB9DgMmrjfy4QGAGZAPaf2f9TjPV7IEjuzbVMMfp14YBeWCfrnZM7AJEEz+uO2nn766drf32/uN9NN30geGVv6PvxHJuMG3b6eeg1m03d5PpxAOklzwmogxNiZMydOZju5Bvmdnp7WyclJTafTOj4+rpOTk0Yersc6TF9te/hX5sc6yDgNTM0OIje38UYA12ZJ8QoVFB8KvGpNP5sJcUZpJbFDy2UHFNaBHmMaDoc1m80a1iFPWrYh2sHyt6l3F19vhoTA4o3FuRxhIJbZq0Ff1XpzL4YD4HAf7QztABzA7OyRPfea/rczNnNjIyegcR0ggvoJWgZEBkWeN4OJrjHY2XU9peQszY7azpd7vPRlvfJ4vZTjfpuuN5C0XA1srA+5kd4PQGRiAEP5yCOPtNgUB+586sqvIcr5oczn89Z+HsZs4Or5pw1s0jq/vb3dnGXl7zxPgGMzI9lHxofunJ2d1b179+pLX/pSPf300/XEE080MjMDy2/L1NdYvxz0zXS4XeyTz9EFEgL6byBm4ExdfsLOup/bELyMxDUGLcwLfaAt2PXcw2ndcaCkfvyg2V77qWTeLT90wbZktqorYfabEQjeBv60tbOz0/TXQNdA32AX2VAPfeAVZZ5z7nPy7BjDHGQCkHsHGTdLxuiC5UTfnKQ54ela8jTbBUM9m82a17f1+/2aTCa1s7PTJKeOH96SYP328rz9tVeU0EnHglwS7Up+HlY2DNcVKhl8yTJRPP/GeVa1D5fDGDhMjnphGBz8/KShHSNLNw64GJbXvnFwNjCuMTAwdWsnQD94+ozrnPHkQaZWevqWMsT4yVTzjJmq9unyZjD43uP2UhS/2U+EPHASs9msmZtctuFvM3QGb8wHgMWgO8dvBtGOmLrsFJxJp7P2XjCCs1kQBxQ+N4hD5p5/7jHgPzs7azJTxm7HnQGLMXqZzsDBTACFa3w4ISDAp2ObLTIz4HusJ1XVsDvOzOlvOl8Db+tGghJ/jk4bsJnhs75/6Utfql/5lV+pz33ucy3wwJxQvwE443ayslisjyIwOHZSZcDn7xwME5wyPwYVHAjqpMkytH45yJIAZoLHj4E1PsR9pH6zIMyrx0aia3ugDebeQNT2aLbSMvNyk0GRbd/B3T7eSQk6YpYKeaW9u25swb6Xsdhnm5mE4cOW6C++HrDio07wL37TA3JNgMqJ/9i7ZWjZep75DH97eHhYL730Ut25c6dee+21FgBDPgn87dfNhvG//XWCaOSwWq2ag1GRL6s6ly0bhusKFYzedDt7ADBgo3WcgpfdyJ54qs4ONmn7qmqyNzb2JqsB++CT0M1u2BB8kn2vt16eSlaGOhxkvBERA/BYkYkfr07an88cqMy+IMNcquJ76koGzk6Sa9w/B5/JZFJVa6PF8A0W5vN58zoLZNn1SiT+drDhPmdmzkrT0RHYAbYOxs5g3WcXltQYp+WVy2cGGCxzGHTmsmoXc4k8rKfJ0MDI2rEzH8yj55Z5MAg140L79NN6yphns1mLXaDOfErJQNQySubJDJZl4vl0e17ieOaZZ+p7vud76tu//dtby8cGK1zPnAP0nCQ5uXLxJnjGQfG1yJDExkHMyzbWNfuqfn99GKlZwmzHwMBPLPs+ZGu/lfrH5waczBmsj1cUPLe+Hh3ku2SyDY4NSgjq9oUO/vhas1TUS9v0yS/Fdt9tn06qvApg3zidThtQSZ9TNk7k+v31O2ztO6gbufmgWD+wYP13AomfMiNLsus4BtN1586d2tvbq/F43IBkZOCnRpEJ7JXlgm8zwcE46ZN9/3w+b5hCs2ddfvNBZQO4rlBZrVYNWj84OKiqatHZVnwM007BVKkN4UFBzpkO9xrk8LcpZkAPSm52yvc5uHdRzM7KTSnjmKra5zDZ6fI5RuDA78zT74ZMIzJQcEDJgM99Zn3sPLxE0cVo2cEbSJp16vf7zRN73E99nvOqi0+PGmgyH2ZSfCyEN6sD8MwoEoidEVv3mH9n+8iZ101RD+M2ENzZ2WklEwbYzmoNTpAP46yqpi2u99Kg9+MYjFkv7GRZ2sM2PH9mDWEXACO57yrBvtlab+L25mDrdSYiMNvWd4LZk08+We9///ubflkHEtAlq205ZDJmmZgpcoafeu49dWmr2IcTktVqVffv3687d+7UrVu3mvbcfgJg22LuXe1a6rN85/N5E5SdQNH3ZEDsV5BZ9s3ytr5mcDaA89O/zIv3yQIO+/1+64llj9lAxUwdcuYaCoCFcfHAkRNR/A7zzDg8d54Drkum3Zv/udY2kMDJfjWZOmzEx9jw3sitra0aj8d18+bN2traah1Km0yx/YXfAUsyjd6ZWZ1Op6066Q+JBTI0uPeS/MPKBnBdoZKbWB2AzMr4VQcotI0Wo7MCVrX3YyUQ42wbBwUDBf634/Dmfb5j30oGVAdfxuIskQKQc0buQImcurJT9hDg0DLz4fqqNqixcTs4mHHB0breLoaC8bGMSUZPO742N1HTLzvQpMOdvZJJ2hHSP+TOnip06uTkpNmAj0O2rJOJNIhPh4nT9eZ4+shYqd8OnSBpFsHLfc56HbD95BCyMpuQwBhG0OPyNYyPeUsgSEZsVpW2HOiQKzLCLpC/g5PZJes+7RvoGHCa1aSNtGezDAYcGaRtX34q1QlA1ynb9iOuiz7fu3ev+v1+7e7utlhW+6her1fXr19vgrGPPHCSYR9ou0k7Qf8APwZmjJ+ftCXbaIJ96vAcpQxJWhzg3XfbEXJj7gymPJ70Iwbx2Ai2YP/I9dSF/novrn2IEwQn4fTR/UtAkftomRsniPgEn73l5Jt+0I5lAIOG/A0St7a2Wodf7+3tNct6mSgzX8jJtuIkzD6Pw04Bw2Ykbfuep82S4rdoASjgCLa3t5t1cT/unkHRwRLAwbKON0qizBghhwdybwb4zHoMrpJO7fV6F047r2q/h47ANBwOazwet7J57sklHpwxY+QHJ8OYk9ngt8EfBs7YzGDZ0fte/jYzYfDmgOb6GNPh4WEdHR3VcDhszuVCvinbDGKwUzhE+oPz8F4lAiTB08xaBtMM4B6HAQJ9NGBgjgF2HqvlyzxlIHFAS51zlm+nD4tqPfK9rtNnrTFXZkssGwOYDDZZ7MxZzgTMoeNOULjGeuKAzucEF4+NYJXsjRknM7ToXBcQ4v7VatW8FsZgyICB+9At6rc+MFcJXpbLZU0mkwbIAYQM2E5OTprlx+vXr7ds0PpikGvw5/Op3LZ9jfvmYMjftlG/oBu52Y68sdysOnPE/FvGrovxMbdmG70UarBmYJKJYiYO6J0/d91c5yeHvXrg+XYheUa30TmDFCd51hEDOQMdrzQ4oXUC6uTJwMxPwSMLDkllf2auBtgPGkw7YUW/aJftPMPhsCaTyQWigLbNEOdRJw8rG8B1hYqBFA4BpfPTQEy2QYBP4SWIELTtXJ0JVq0DcGYxGHFVNZlwZt4ospf1UqkdOOkH3zEWvhuPx633MqYzpL92OHYY+fSMHTbycHsUwIYDFkEHh5hLed606mUKMw2z2axefPHFunPnTt24caNGo1HjKOx4PPfUh9wNMBkLyxF2SAYKAFZnlwaPDt7+32DA+sGYj46O6vj4uHkbgNnXZA67WDPrsDNky9DAh0KgchAw+CTomFmiL5yZRF/t+O3s3ZaXc5gbg7zcKJv7fbrmtEumTozoj8EG95gpSEbDe994aXDKkPHiL/JsqC4dMbhAjmbfXB9zjRzoI3UYsDM+L+8xZ7bBLhbZdmNWxIwodnt6etqaaycV6I1BG5/nHlFfb5CbCUmCDzOR6WPMVNEHr1Yk42Nfxvf24dYT+pR7EjOp8PcGKozPIBC5P2iPG/Xa/zjmWE7UY+aMuORl9pQzYG88Hje24BjocaRf7PL7KUP6f3h4WDs7Ow24Qw+ow0+r+/vLls1TileoJLNkJcLgULg0Pt7d53tQNgenLsXmfy9xObDkU3qAKzvKZBrSAKmfp2Sm02nr9HnGkKDDDpZsi0BDsXN3YM1gguFQL/210SSIMuBdLpedJxwTHJN5wrHs7e3V9evXmydHM9P2CdWAO35703wu4WVGn04ggzZ6ZL3JrDSXGKqqYSX29vbqxo0bLX01kHeb/X6/CXrJunA9OuFAawdqJg5nZ7bFbIPrdNA24HECga6YjaDPfgCFftth06ZBLzrsefUyj9twAmEWxTI322O9YK4BmuhTjtdnxjmR4G/kaaDNvX5AxvIyeLHeJ0inPvseMwM+E62qLsg7wTt9dhJmwMImZvTUoDPBGcuLyMhBGj1jTAlIXWeyJ/ZBBmueQ88fR1c4CUYPXJfBz3K5bD19TT8tLzOPmVw5sfYYkkG3zXheac8y9H5N6zXz0+WHvUEfmeaxO+iokzBkMxgMmn1Wll2/32/FRuRpm0IOgFLP2fb2du3v7zd+2rphOXuZ8Y2wW1UbhutKFQzJdGdVe7+RUTufk1Wyrm1F8N9mSqiDU3sJhM4evO/BQIXslI2Q0OuZzdlhEHzoN2+q54fA4UDT7/dbbI5f9GxHRtYIm0H2ZABpB8C4u7Jwgw+MMLPtBHsUvjdQeeyxx5olVJyuAZ5ZF5y9nQE/diJ2zA4qBl/eaIt8DNRyPwhOiLEnK+UjDNAlA3AHRPrBfLJ5n+89H8jNuuXPuNZ9M5BBH1iCd6A0y2AmJpdY0AmDJTNvXh7JpMiyQD/dL+uL9dGOH5kiN+TtJSD6aN0zyKYf/Pb+l2QjHGQYI/WhK/7f/eBBFOq1rrDsk+M2mMTOWd40mDW4sG5n8LSdGJSZ2bYt57gziNO+N5CTCKFvvA8VebP3zcGXYgYx5wl7Yzy2n2TdPD+280wi0Bf7APQNRpz7GRO/q9qMEPrD+BNs8dusFDaGTOg7qy74Gz63DiP/9FtOMolJtjnqcnuOM8mOeQnYe1pdD3tbrT/po6xPmahcpmwA1xUq6WCq2vuRcIYYPwbB39yfgANlgSZ1JofT6HLmXrO3kjmAVlUD9JxB0GcCh5cjHIxwAgBJg7uq9mPlyMLgI/uGTJyBu2+93vlS7Z07d+rmzZsX7vN+MgKDs+9knTgugL65TYCWHacBq+fczreqWrJnPhi3N0xbBlXrdxd66cnsB07S54el/J0pewnIjoV6DKzok5kKBy3kQjD2WKqqBUr5zMGfR9gdfBz0DOj9Gxvw0rjtyuCT/YCebwP1xWLR7I2kH+4ffXbSgSwMrq0vBneMif4arOVyrNvmmICuQIn+0laCGtsnfTAwsT3ny4MzeaANy89Jnuu0zqGP6L0TIAP6BI8Onqenp63z0uiT7SePRqHe5fL8yV3uMTuDTltvAJ7oKt9bzpaHGXQnGMjUPoX+2XY9hwbG3pdnn8j8WxcMVj0W+mSfiQ4zL2bV7J+JBQCsTJ4MhL0/jjFbh4hLTraQi/foMpeOf+jLdDpt6SP9SN/p+Ucu6Cl98ZzbZoittqHLlg3gukLFxmKmwBm4M3s7IxSaAGWkjvHY+J3dJZNmVsfZcNKoVnYMIJdpzLLQX2dFXNfr9VpP/VB/Vfs1OHbEjMGP0DtgeIy0h1wfeeSR1qZzjD1f60Egt2Fh/LmHjLppl8fRaSNPl+YeZ4vInO9yzwDyMuBBHgRDz13K0dkkdbJE4KBN8WPQBjTWWfYaWm4GFQbI9J/r3B+WsszeWX7s5eIeZ6kJEqraG/fNAKDfZsyYZ29UZ47NnDhIJqOX9muWl//NiiGzZJKc+PA/egPYMwCkv2YtzNyY7TPQtx+xfTmAWxd9X9WaEcEGAQr003pmEAZQ8Xylb6K9ZNvSzvkuQTftOUhbdw0UnPz5ezMm6QszGWL8fmMHug8771UKxgnQycOfz87OWg+AeGzWT7NMqYP0DV2xb7ZdeYmQ8Zv14zvrM3Wn7iewsv076cZ2M9Z5LpCZ5z91gr5yH30wK2Z7ZG6d6Dg20Bd8kH2m+4IfAjRetmz2cF2hYqUzs2PFtOL4AEHTtgQaFNHr7VXrs2s4z8h7CRxMqtYOg7ZoPzfge4N3VftJE9gzMiYDBAMaKzjjsFHRHwcwLz0iB65FHvSVPuCAzGy4v54PHBVluVzWdDpt+mXnwzxhrATKzNrOzs7q/v37rb1xOCTqzKUarqFdgz07MZaGvYyDU2devISETsDEGbBYl+bzeR0eHjZZqxk2BwUHUPqZS1boi/dg2AH6ZdIOJgQcA0X3Bdl5Lukb8869Zg6okzrMNJmhPDo6at1DvfQFOdEH/oYBti16o7yDRIIig8BcnkU2yMp7HFlet/7bfrBpJxNd7Ij3pmGPsBm2f/Sa+eVzB2P6xvfz+bxms1kdHh7W4eFhnZycNDJGHvTHYARwbnBIgEZ2o9Go9cJ5AzgnD10sCwAKORrseVmeLRXI1brmgM1nsKPMpfXEy9F5QDD1OtmkzfTTvsfxwb7K82w2x/ph4ONk0+3bJ3t+mTevFhj8GMgm+MRPOA7QhtlL+x33i3EwXvsXZMh42QfmvZr4CPpjsOm+MxbvUb1M2QCuK1QwdIqBlZU8jRllTIaEOhwYUHSDgqqL755LI8jNzQQGOwP3Cefi/QrJFOS6vusz0DGYoS92/jgX5JTMAW2Ytu/1es25Y9yD83bGBDjgf+RARuqN8MkW2NnbKF988cX65V/+5frsZz/b2sRKoT6AsGXD/95XRjHA5jte8OrsnTac0Xn5wIwYzuX555+vj3/84/XpT3/6wh69LlbHoMEsnRk4xmGZAw5Xq1WLsVsu16+78YZwO0HrCN8xPgIrOkyAY3mDJMOgCeBHX772ta/V7du3GzsFgJp5AERQB0DFzJPty8tqXr5E18xQ2Z4Zs206GU8nb2bN+M7yYBy2b+bG+x3Rm/Q1BmYeD/fjx6gfvb1792595Stfqf/3//5fff3rX6/79++3fIn9g8G3j89BHxgDf+eyrmVpBsrjsU+1rGkv+/TKK68046+qBvRRv9sxGEimDL12wuJ+mxFCDtg81/C5bcosp5MVxjabzVo+BL9j/+l7aMf7+pCfAX9VtRJaJ+bYSfp4+3OK/TdyNsPEuDIpYNsNdXulA9+PviwWizo+Pm5iAXZL21xn8GoywfP6sLJZUrxCBaNMY+U7HJEzV64BtSf9bSoX5aduAgWKlPt0+C5ZEoIC92NYbJo0i2EHDVVOoDO75SzIDstyMFCy4XGchJdece4JWGAtuI5x2DE7W3Mg9YnGBnxmZpCHTy/3PLB/K5k0jDafgrROeMO3HQM64aUmrkf2pvlxTNardMowELRzdnbWvEcMR2d9wwExPu/dMq1vgGx25c6dO3V2dlaPPvpo02bujfOceWnOjAlj8lh9Vo4dJrKnf8yZZW8QefPmzSbLtr4xb+jma6+9Vnt7ezWZTJo+kUkDIv3QiJcsDN4dKLgm9+/Rf+whNwQ7A89lMvsPPku9NJDNBycclAwAndyZlc3XsBwfH9fXvva1+vVf//W6fft2Pfvss/X93//9dXBw0Ogry23IxgyiwT7B1HqcNuq54nP01UmVkyTGap23/KnLut6ls7Y5gwSPazqdtvyawUiymlzjvbtOgpORSh+K7pJ45AqCbdr9p0+5JEtbtp+MMQl6LF/f77Ysy5StfRf3mQFznXyftm3gZqbPWyzwQ9576/rMxD2sbADXFSqmctOheKMeBsErC3ymTdWazcFQUtFQ+lx7Rnm894Hf3m/lz5x12kCs/M4ibdAGFvQZZmE8Hjf/k/3hbO2oCJTO7ugPY7JR07ekw+3IfR19m0wmnUwRMjKrYKaI/jpDe/zxx+uDH/xgM0aCmg039yf5czsb5gRZEKDs/L1kguz5sVOFQcosezwe19vf/vb60Ic+1DrlmetwvsPhsNHH6XTaOK2qavrlAMa8wsKYofTmaQcRy4S/GasZLhhIg8nhcNiAdc8dcqVOj91A59FHH23mejKZ1GQyaQWjxWJR9+/fry984Qv1zDPP1Fvf+tZm7CQkDtoOFgRgJxxdoJ/CdV2blg1CzKhZ953A2e/A9GUShH7DZDhpcNKHTdn+DWrNup2cnNTLL79ct2/frqqq559/vo6Pj1v+wnaTDCa+yomWQSB9sQypC0Yc+2PDfNXFc9QcnA1cJpNJayuGfRkAg/utr54HxmGQnSDHiYe/S7BjfbJPwDfzlgkDFZ4kZM79onBki/6bebTPgyXGhixD64XBCbqL33XCy28nfGZjzYI5UbCedbHDXWCU+zhh3vaYSbufPvU8vRHA9S21pPjRj360/tpf+2u1s7NT169f77zmueeeqw984AO1s7NTjz32WP34j/94y1FVVf3UT/1UPfPMM/XX//pfr//7f/9v8/mLL75YP/zDP1zf/u3fXv1+v/7ZP/tnnW184hOfqHe/+901Ho/rfe97X33yk59sff993/d99Yu/+ItveHxJY5MNZoADnODIHbShpaFUMzNg70PVxY2w0OZWOgMWH0pK+9y/XC5b5+CYCTHzUNV9iCBGDJNEsHE2S58xPGccBnr0tWq91wnD4AwgOwYM2vtEkCv95XobvTNL9gPQb/pp0GmAcuPGjYZpA2zQhvcUOLN2cPSSFXNlJoTrnIXlpnRT/g5SBhr0YzAY1GOPPVa7u7sNIMjNtIvFotmLgyO2/LmOs4TM8jzyyCP15JNPtvYGObjRjoM6fcVWzKA5AfEp8GYNUne6lg18Lzph8GHbRa55PASAPucw26egLxmE0E0vY6C3JB7eZG9wgr14bAYhZPCvvvpqHR0dtZIE5GK9tv67DQMrg44cY9U54/XEE0+0/ifwscfG/o559pidYHEtc0bf0wbzelhH31PVTjIBHgkynRihV05KkbX9EzIygPE9sO4GIl5u9Lx1gTnq9CqCt45QB/aJ37PO0SfrJ3NgOzBwdxJvPUBPiRkcIcT3bJ2wnXuPsO3G+sd9thHPIwl47rNM+0OPbAv8+ABUdCO3gXTp9oPKtxTgOj09rR/6oR+qH/3RH+38frFY1Ac+8IE6PT2t3/7t366Pfexj9Yu/+Iv1b/7Nv2mu+cxnPlO/8iu/Uv/tv/23+uEf/uH6J//knzTfnZyc1K1bt+ojH/lI/cW/+Bc72/jt3/7t+tCHPlT/+B//4/rd3/3d+uAHP1gf/OAH6/Of//wfe3ze2GvKmQm2USbT0rVB2w7FNDbFyzLUbQeVS0LpcJwZWfkmk0nr1T3puOhbVbVADY7FGbcNxG05u/CeBYMzy4HxENBt8M7QV6v162GcITlT5H7k52UPP4BAnQZHHpMdo2XAvQ4mgNiqNRCwM0Oe/m3Q5yBtHWK+0/lyP8HN8l4sFg1YzH4CPNEdHKL7k0sRw+H58Rk4N+YAoGnm04Hf91uPAftehnHQZU4Av/TRewrNvDmZYPwJ2LHFvb29+nN/7s/VrVu3mjn3Mq9tFhYOsMPYHfjMetgWvV/GrAE+BDvzcqo3RjMH+Bv6cePGjZpMJk1frO8OdF3Ml1kV6yFgwWAPPXniiSfqH/7Df1jvf//764d+6Ieac+s8xmSNzN5ho/giL7E5qDqRtSzQKQN85OMkKIGW7cHtcMxKbhGgHcvMiaN13sl1glj03EkO82HfnjZupsf6bbaLtgwI0U0zmvYv2JABcCbgXWwof3tO/Dm+yACQ77g+9wSip8gFVsrLwI5hnjs/sGLZe2+zgSf/Z+LysPIttaT4Uz/1U1VVD2SP/sf/+B/1h3/4h/Xrv/7r9fjjj9d3fud31k//9E/XT/zET9RP/uRP1vb2dt25c6eeeuqp+gt/4S/UfD5v1fXWt761fv7nf76qqv7zf/7PnW38/M//fP3gD/5g/fiP/3hVVf30T/90fepTn6r/8B/+Q/3H//gf/1jj81qxs4tcTnTGRLHT41png1XVMnaAWO6HsRHRB4AfAZHiR6BtNNyP4+L8JK//e2wOLAY4BEUCuPcv0Rc7EdPcyMBn3Pg6Z5oGXXa+lqXH5/5yDyWXL5zBeg7y/+3t7To+Pm45YgKoWRXPu52Dx83/2ZadtsfA0h76Q512PO7XYrFolh68P8OgfzweN23S5y7Q3BVQnIFaZ5GnGTln/Vxr+Xtzb9fSqhML9ydtzCAiQTJB67XXXquXXnqp7ty5U295y1uahyqsR046upZKGZeXzz2XqeeeV/exi22tOgcYXlqyDo3H49YBnxlgvcRHcENnvOQPo+eDTQ2UbIuPPPJI7e/vN2P10hVj9NziD6xLaUtdc2yg5GVi27pLF1vjenMJ2mOzLzPg7rJfM2f2rzlulj85Zw+fbJ3xykWe0Wg/76U6xpT7MS1fSn6fepmMqcGX/Q59Nmg0eJnNZs0htHxv20ce7LHysqL1lfaIQ447LL97Ow6AnfuZHycZ9D33T1+2fEsxXA8rn/3sZ+t973tfPf74481nP/ADP1CvvfZa/cEf/EHz/2w2q52dnfrBH/zB+pmf+Zk33Mbf+Tt/p/XZD/zAD9RnP/vZP/4Aqr2M4czFga9qTYOSiWE0nFVkA3PGzL12BhSU09mLgwMAjae6uqhog5AMXOkgMmshWydro092orQJa+e+Uh+Oy2wafTGg4D6WLvgOhoTAYSBKcR0ekx1ROnoDTgAobQAMukAUjo4s2MdpmInypnrL1HKyk+0CofTFTtQb3H3Wmlk26y9HKRgEJmPLeBxYrXt23tZVB72q9XIhY+kKbLRj9tfBLBMSxgHzgBxp36yrmZTd3d1mX4+Xh6yfjM2B3kkR82F9NQAx6Esw7R8KwZl5XS6XzTsxsUnbpx8MsV6YSXEfbeOeS+taVfvICMYEu7izs9M8ZAArQtLmMVof/ARpF6hHx5wMei6Ru+fdemUWhODr9jx3zAtz63tyL2bqj5eVvdxnIJJ6yVw6sbVfQfd4UhNQZxuiz7RHMXvpp7gNYJxkAOwyaeJa7rNcfR1+z4k2+sr4Hf+QhbddeO4z+Sde8XfqDD4Ye0RmjkPEWYN+YksCvYeVbymG62HlG9/4RgtsVVXz/ze+8Y2qOnfQv/Zrv1bf/OY36/r16xdYmz9qG9RfVfVbv/Vbf4TeX3zqx87LjodJNyDje/72JlNn1s7yUWQ2Nlth/XRVGgvZXTJjDgzOktIROPgNh8M6Pj6uo6Ojqjrfx8Epzs5AGQNt8M67vb29JoMDBJ6cnLT6TDumhwEnOCPPgYM2bfqMM4qzJ9qqWi/vJqAkIzPYszP33NrBOlhTnIF6bwLB3oyTg3uCzqr2/q904syDgRjzTnaYuofuGGgwb2bvkLfnhTos6wyOZkt8j+2hK3AmuEN2Tky4DweLQ/acmTEzw1dV9Za3vKWeeuqpll3RHwNNmBoDMwCtEwWycS+Zcz/sLcX2TH2eU1jq/f39pk9exnWQp24HQeTGUg12mPIzm0AfUnexBXSVewy8zSAYhAKSSbx8qKhZGHQ1GSr6YEaKuTaAQsfonwEE9XrpysuKBnl87yTBPs3JdPpIJw8GcswDdmYdtX+n0HeD/S7Qzuew1JZFgiwnUAZe6aPwTxQ+sz/KZBC5M9f4WCeQsOyeV+rxKo+3fKB7zC0yBxw7cXadlnf60EwIXq+86QzXv/7X//oCsMifL3zhC3/i7T722GNvGGz9aReUGmX0azScCRhpW0ENlKrWT4IZEPh6ByezB5TMzA2kcDbeuO5NuVZcAkEyGYCCl156qf7rf/2v9Uu/9Ev1wgsvtAzBzsgM0Gg0qslk0nLEGJIBS4JBHA57PryE4b1KNv50fhirP8cJOtM3K8G8Un86bgJVAjXGYYDhoE0W5uv85JYdA2Mxi+a5Yu8J47JDd7EOWhd9Le0QlAHpZi5wxMkAmFkCcOAQASQsfWV2a/namfM5NmEw5aWPqjVT4H1LZscyc7c+sNmbjfMOaMy/9YjivXMGK87QrRMOvBkADJYcYJE3R1tYzwDUDur0z8kGc+Ilz1xSMUAkKFoe2IsBK/3FDjOAO3Fg/D7fKwGdfRXFOm+7ZM4ptjNklb7R/iTnGdthTsxepr3YvzipQlcMFumT60n94nNsyKA5wYTnI2MF8jBYQg99qC5jQLbe6+h5o5/ENUARMvVSnueaeTYY9Dx62doxEZ3me3TKQD/3bdG+7dP65/lxIp/+8fXKm85w/ct/+S/rwx/+8Ote8/a3v/1SdT3xxBP1uc99rvXZSy+91Hz3J1GeeOKJpk638Uet/5Of/GT92I/9WPM/2aWDE4ZtmrxqzUyYeUD5jNANkqyUXcbdBSrMVjmzo/Cds2X65w3SzhQwypOTk3rllVeaJd/v+I7vqG/7tm9rZRdV7ZOZ+czLSb3e+RlIOGwchw2ZgmOwIVt+3utgtsQMoUEN9Zj69n30waeL0x8cF8abRo4MDBLssHGUBnfO8tERA0AzQwbr1NPFwLjPlpFBvp2QA4ODpwO9++NlFLN61FFVLRYEgOLvXdCRLnA0Go1ah3mmfTjL94MEjIWXvSe4NxuQAdJ2laDQAQO9MkOHzaCjtrlc8kL3ea8gCZEDkm0ZHTYDxnxg5zkm76FyQKT/qf/oPnKwfb6e/JJtSjukv/TT7IXbpV+2japqgi96gT1536YTtpzHfKdt2or7jV24Lftqj9Wytb046UNnPT+Ufn99MDPtWK7WJ4ptxAyrbcMJKfbIZ3fu3Kmtra3a399vAbwkCZChmSoDSzN1ZujsY9JP8LnHWrX2b7kCYV9NP+3/MiFygpN68UbYraorALhu3bpVt27d+hOp63u/93vrox/9aH3zm9+sxx57rKqqPvWpT9XBwUG95z3v+RNr4zd+4zdaR0Z86lOfqu/93u99Q/X8l//yX+pf/It/Uc8//3y9853vrKq1QnBqfKJ5FNKGixLbqeJg7GRxonbYBFUvgQHy6E9XYKLu+Xz+wGUyt03fUVCDla2trXrsscfq3e9+d81ms3rmmWcaEIPBGBDZyGzQ9INDR70USrs4RF+bDtEGaOodR+ws19/zPwDTziUfXgCkcO98Pq/bt2/XY4891nIylqnZKeaGMfh6wKwB0fb2dnPO0HK5XkZiTBkErIuM0Q7KQZ4xJpBIgM3cUQxm7Ljcn2T6nIQYvJr9rVofQOulYIN1xp1Byn9nsKBd25z75wzYYIqxYnsZ7OzUzZjmwxr5tKf1I7Nuj9nzl32l3qo1k2GGwskMxayAGdlM0tyOgxPt2Qd4XE56zDyixwYjTnDwY/gy6vJLps20UFfOncEmMiaZZByZ4HatDpjV56wr9N1+yUms9T8T3Vym90HGzK+TN/byJmjyVg0zlug37VEnm/SdxFtOyHt3d7clU/ffDCT6xKZ4221ukfFTxrZFEgQnGpmkmYzANiAzMq4mQ5XAL5MVgyyzXpcpbzrgeiPlueeeq9u3b9dzzz1Xi8Wifu/3fq+qqt7xjnfU3t5e/d2/+3frPe95T/2jf/SP6ud+7ufqG9/4Rn3kIx+pH/uxH2v2UzysUOfh4WG9/PLL9Xu/93u1vb3dALZ/+k//af3Nv/k369/9u39XH/jAB+rjH/94/c7v/E79p//0ny49juPj4/rQhz5Uf/7P//n6pV/6pfqO7/iOunbtWsNWVK0DdVU7kHtpBoVH0W081IPy25hsbHaKzm4MSFiiIJB546X7apCXbJGDdmYnjz76aP2Df/APqqqaR9JxRg4qdmIZIDMr8/Kmx8g4yHpwTM7K3D+M39R6Bk07QW/0BdD6pGzX4Wzq5s2bDePHkQsOVAZQGLyZRQAVgczgwAHFrIj3ZlFyU62L9aULVBmkcD/1mT1yBmpgnQALp8v3frk2zhyAmXux8mlN5ill6KDtAGdGwEEL4OzrqdNsYxcA7ff7zVloBDHmxQ++JEBZrc7ZFB5xNzPLuBJcOenJTBw5576pqotP2aa92taRH+M2oKEYAHq8gA8vObI5mXq7gFX6LPfdyZlt0gEbGbPP00DYYB5fi92zwZ95sl54ydzypq9uK/2Afblt0zL0uXZd9mNdMXNkgET/fX9en6wXfQakOGl1YmZfjj5m8upk1aDMZ8d5eZZ67RdgEw2ikAPfe7XG9mem0oRCytdz4ATPzCj9tA5etvRW6VWvcPnwhz9cH/vYxy58/pu/+Zv1fd/3fVVV9dWvfrV+9Ed/tH7rt36rdnd360d+5EfqZ3/2Z1tr9K9XuoT3lre8pb7yla80/3/iE5+oj3zkI/WVr3yl3vnOd9bP/dzP1d/7e3/vDY3l8PCw9vb2qqrqtddeq2vXrtVHP/rR2tvba4wShfU6sRkXLwkwjWZrHFSs+DglL4U5YGHADtIOLP4slzXNrtEPP3qbGawBIp/TX/rp7MaO34COguOg7wY+Dh7T6bQxYIzt5OSktQxjBgv5Ovg6mJJ1MQcO2HYmWYeB1Xx+/nqPnZ2dZo49f3ZidjzJRGTmbqBddfGF0tzblal3BW2DYY/f40lWqGq9ERj98LzyPWDZTjqBiW3DQdNJijPSZEZtL7kcavs36EzAT+BlnGbTbE/WHwNVJ05mEyxbgx8zX13LUA4O1j0HSs+5g5+XIvv99TtFc84Zj/XBttYF1Far9SZ+65nbNPPOWD3v1hmzQYzPy6a2QfphH+oAjF74PMGs3zrN3AJCGLOXrNIfWY60i4+xTfjJaoMY5G02zQ8TJUD2Z4wXoGGmy74EOdpmEgTatzAe2vHRQMjJ58vZls2yUd/q/5fU+wlZ66pt0MvXBmMwbbmMyjWOUU52mGv67fhI/wCE9iEGr/P5vP7Vv/pXde/evTo4OKjXK99SgOvPagFw/ezP/myzuTTBkvcg8DfOxpuQM9u1snKPnXvV2in5vBYbup2Anb2dloM8Sk9WbgbFwdeqh4GZ9ahaA0xnYGaWsl8OWJYDbfrapIP5LPduZRbHfLAvJYGiASPfeTOqnRrzgTPp2gSKfM2Wsa/I+1ko9I2sFvbLgRaHZ4fG+A24KMgMeWSG7pOwucb1GRQgI+aw6uLZQLnUABOX4Mk66LqwjXv37tVoNKqDg4POPTAJSgx2nKSZxWPfSj65RiCwfMmeHWAyqfM8JzByIkKfCKDooV/PYqBrltf6bGBtMIs8vXTnVyS5r056DNotA1+TjBiysJ7nNgjG7aBoe6EYINlHIBf8mNkl6vL9BhlOWpfLZbO0lglf9qtqvYnfzI2TL/tL7yOz/lvH7dMNyi1n2uB7AAw+3aCB8d6+fbt2dnaaVQXqzCdPbc9JBtjOu2QBwPLWAa+GANZee+21htnP8c/n8+Y9nJa/P6de5oi+OOlHL+yf/cQoemEbc7yBkfXS6XJ5/hDAT/zET1wKcH1LLSn+WS84nQxCKHdVNdkiysV1VWuKmIBLsOPeqnaWsFqtlzaq2vt7+N+GjNFQnE0bxPCb5boMoAaC9Ik+EGAcALgGUGMAWFXN+/G8xGBDsZNHpgapzgYNNpwhOagiD/6nfw6aHhuyoO08jNUsgeciA4uXTZONdNBzVs1cWDYJnHCSZgUzeBkoGGSRWTJ2L0k7kDF/bDhPOT9In+y4u4K6mS8HB37jgJGxGVezrNbN3GDNdam/DuS0idy65GVnT38NiB6kg9Zl94HrWaY04+c6vYcpQb7BvdvwwwIeuxkIz4MBg30T82Am10Dc9mc/BUCgX7TLWDLQJ1MDOEhA6DnNxBbZ8D0JFaA2AarHbhBFvegZnwFk7Etti8k8ud+eU/TCc2IGjiTcDKsBNv2eTCYNM4/dOjmmDs5dtC8yy5TJnsfFdbZfxwLqPDg4aPyAGWjqtI1Rp5ekuQ5g7Lr4vVgs6ujoqHZ2dmo8HjdbS+xXHLOc7A8G5weyIo9kqC9b3vRjITZlXewsqtr7J6rWQcyZuB0fYMvBxycO41BGo1HL0Ag+Xqt2VorDdFChb84icgOuWTQ7o6q2URmArVbrR7F9XTo3+uA2BoNBA2zM/NigLEtnqA5kfEYx6DCDMxwOmyySvjP2ZPLsrBI02DEiZ4Kds3+zU+lQko7HWZqVMcviV5cYeKFHCXDM4MEeOMB1MVcGcVXVcm60wQGWZnYNpgwkDMINzAlIGQj7/X5NJpOWDXQtZRpwEvioD7k7gSDwu29mNAk6BBc/3WU5WW4G9+iQ27A+eV8bNuD7bZ/WEfeRNqwztq3UA4KR7ZH202/BiBnUoIez2axp2y9KhoVNQMGTx8y5gRE67/lzAHQyRPGcW+dtp64TME9/kSvAxPqUftagi+tYgnN/rPcGiFyHHmbyafszUMJ3LBaLOj4+boFPrh+NRs3rtMwq4s+QAWA+EzLbZ65yONGwnjKPy+X54buOEdZv+puJkH0yxQmkX+ODnOxrB4NBjcfjC4yXAZvnl7lI+0Gf6d8GcH2LFpRqPp/XbDZrZcBVa0qTzx3Yq9YB3595eY7/beQ4eB4l91o3zhxj5vwUZ5yZOVatN6I7WJm5oWAgOBTGWLXeeGmDYIz8xhh8D/0jE3FwtDN2YOJz99EAEoeLfB34DSYw4gSTyM7MWC6p2UnZ6TqAc50dmK/HwVuXcK70nTa8LACYcn05V+63HU2C8WS8+Ds3ulI///vBAu8xM6CkLV5+28XMMT6cOS8rxzG777kHzmxf9pe583K+GSXmxeDi+Pi4+dsyBdwQgKkT+6Mgy/l83nrLAyDAT6pZJ8yMOgA6EHGNtygYGKITBtweC+M0e5zLcRlo0UfL0LqOnBkfzJKBp3UntyowVu/X4n/3xTrvJ5XNkhvAo4MkBfZBDvg+S80AEb+Zc5BMIWAEH2z5eu8Sdm6fgC5hpwkmnAxhb9Zh+zUAnMfuugzoU88SMFk37Bt5qwBtpSwp6Ce6SaxIoFRVNZ1OGx01EKUfgNi0ddpxX9ENj9VJMHV4CfMyZbOkeIUKE+eMxuCpqs2GeCOpsxzvC/BmQhtcl7PwdygUytcVRLvqs7O3wvuapLZzecOZNctW9AWHb+dTtX4tiT+nrynfqvb5PAZhXfu3nNE7e69aOxoHMIzdAI5r7ACo3/tMDALZA4cDZi6QHU7ZusJ4vMwMe0Bxhuesk7/NZlkOOQd2ZHzO+HMJOTdi0wdvjLfc6Rt6U7UGIARD6z3/cw1z631fZsWQI4GI+UgwQPt2tIyJen0eEfdSV97D9z6zzjKkf95vQ0JEoU7LwYHKzI7H6ECEjuUxD17S6gIqFCdlbpPrzKLBrjIGA6UE+rZpgFfaL7ZnEI28Ga91wEmEC597zMwTcnJSmWxJJpqM1cmIfR71o6dOqL2y0JWw2af4DEGz3VXrxISSB86ib5Y79TvxtA+nvxTHHNqACTOwYa6RgZePrTv2sW4LWfhoIvydAbbBYdotNmgf6ZhmP5zJRfazKzm1rC5TNgzXFSuZrXuzaVU7EDkbdsCw08msy0HUzgrnWNVeygQQLJfL5oXEuXEXReQ+063cTyZv8GWq28wNBtrrrc9NoTi4n5yctIyIOqnPj+8TGO3UkKmZKWdqDmT0lTqYE0APYzLbRDEwIBM1uJ5MJo1DsoMFJHjjbQKdlA3y8Dv9cBzMFfL1gZ4OJgmkKJ4b/s+s1n/nbwcVGL8EplXrd2F67hgf+mPQyXKPdRHQ56VUnLcZGupCHp47g076znhsJ5Z7Bm3LlzZ5j6GBjUGU64LJQs/YdzKfzxv9t+1mkLeeW358h+13JSgG4p5/ZOPtCw5+1g3bDjoMc2UfQP8SLFZVs8zF/NCfBEa5r9K+zgHay5LJdDhhsa0D/szw0jeDr9ls1pK/9cT2R/E7IT0nlovHZEBLvfjIxWLR7PE14EQ+TkzSbt1Or7feMoCuZRJuu5vNZk076BsrJtY7+xg+d7Gvs54yttyiYn9FfegEc4fdZJLopApfQR+s5+6HZYZMLLvLlA3gukIllaOq7bgoDhjO0qrWyo0SEeQJ9HZkVe2X/aJAGaSN5qvar77wviDucyAG+HgcfM7fjB0gNBwOm31cNmQ7LIJqLivYqHCkGJ775s8Akt4v0uv1Wi9v9RNrng8veZkdIYAnI8i8OetljvifQMu9Pm7AAJVlJmTid4QhT2eDXiZhzlhidpZuIOGgbZ1yAEOedubUu1yuX+VhNg2ZuU1nwozb1xtY2AGzJ5H7aZfAwVgBNwA+AznqJ2Ci+2Zc0VcDS99v+7G+mD0+OTmpk5OT1vK873OyQtAn6BlsEag548m676BMvxwwkJ3tyTZm9hN7dJJgHcO2c18hdsG8eJ8j4zMQTJ9RVY3f8nYHf29GwmyGE0kzIMlAGhR7P5lZLeTjzdnIirlIMGEfy1zYB5spMavpPbP8uO5crvf47Tdsj5RMqrh+e3u7OaPS7dqvuB8ksSy5Ofm2/HmNTsYOfIiTE+Yokyvusx5yrf1Vgj0z6cynH+JwUmz22+w+fsxJqX1ejuWyZbOkeMWKDc90tZUTA/A+EztMzpPC0RkM8WoSjC0ZHZQqs1kzGAYveb8ZCL7LIG1HaiO3gcxms5ZjzmVHxu2A6s+89yzBnUGV5UhbgBkAU47b4IEx8Vmu+9O+GYyqNV3u7Jrvad/9dRBy9sg+OJ4k8oMLlqsff7aDsFPOoGfQ5tPb6WvXERbUU3WevQNamXcvB1m/qJM5MMihbvSGtpkzB6wHPQhgUJFP3NrRGijRPzt0gwvYENqqquaMJSc1jGs4HLZefZJMoXWBIA/QWCwWdf/+/VosFrW3t9d6QbWDBHPnc56SbaIv6EUmV371jjfXe28dxTbmgGn7pz8ANLNm3gyeDBCg0+AX9iJZNyc2jNv1WqedMOIjud82Yvthm4b9lEGkk4lcrjLLiZzcL7PXyDTBqL+nn7YhJ5JO5Jjrqmqe4ON6Ej0nHOhD7uFyQmPm3z7ch7Bal/NsLGRkVpQ5QJ8M+l2su7Z3xoMN23chCy/Vel4cC6iH/tvfGVzZhjeA61u0MOF5kJ7XwTODo2AARvc2PoMLAqUPkaxqO9fcR9AFsAwaUqFtPDBHXAMw8Fp4Zi0GalZuwBRBk/4QSKH1DXKcydgRMmYME6YraeLMJKvWe8Ds+PnO8+E54wwX1+v5cbCqWjvIdD79fr92dnZatHaCFgc6grmdL/rjLNLOlMyRvz3PsHHej8b97svt27frD/7gD+rVV1+t97znPfX2t7+91b6vXSzW+1/MWqQuGIil3AlCBBqzt3mt5ekxeEkmgzhHWphpdKKBfD1PjM2yYXzWQS9nAk68DDubzerrX/96HR4e1tNPP11PPPFEA4xgErwE2LUvyWOx7pltor+py7Z/jy+ZP+bJwZoxJnti26YYIHruSA7pTzLOXq5nrler832QToKy/gRs9m0GEfbNZpeQl0FtrhDQbyeN9q34H0pubTBrBBBPJih9thNF+y903bIzyPWKgdumDe+h4m/bXoLKZNQMLpNdNXgjqTLA9n0kpfg4+sT4VqtV64ELz2PaPGOhz24Pm8UXOvbCFL+RsgFcV6g4Q8yD2pwx8j+G6eysqr2xPsEZDrGqfRo3m7O95o/jMIjze7XMxNBvFHw8HjfXO5MymKyqljH4yTOMC+rae3TMDhjYJb2bjgzDYux8ZuaGOhxEHfQdPB1kPR9mFXH2JycnNZvNLjxR6TlyhsxymveNkM35pGSDQGe51I8+MO480RkZ0j6g2NS8gYXZNl/jv9HfV155pX71V3+1qqru3r1bzz77bPN2Bc+TlwkTtLlv9AE9Q075aLmfUsskxQHIRxF4KdXO1vNkO3Rg91wT4CkGCbTv/WvWRYMl2x46fvfu3frKV75Sg8Ggbt682byPbrFYNKAL+SGLrizeRwFk4saY7A9gKc0K8nQWY2F8ThKoK2WH/A2+bQveLmBgYbabIJu2zD2Mczqdtvyj6/N4k3Xx3CV4sN2jhwkeDMLsc73kbN2mrZOTk+Z8LC/Fc68ffjJATBnavpxA+Glgxwn+tg8FeHjFBdCFnflz9NYb5p1YeX6YQ/byGbisVuuHOZgXy8zAx0uySRbwkzoOY28faVuw70HH0UmDWrOzly2bPVxXqNh4yOgSaHlZA8MyCLHSJOVJVllVFwwz946ZsXKwJeij3AZbGIUdIn2307dDshPr9/sNWKlaO1AHKGfqyQ7lhks7ABgDMxAJzuyMHUzsLJzpIbNkCHBcGDYHs47H42buAFPOzuxQPK9mA9iv5CDmrDkBOHJ3UMmlULNY1g36eXh42NrrdXJyUtPptHkyifvMsg6Hw9rb26vd3d2qqnrkkUdaLCQOmvszg61qL1cgf/THnxnUmN1zcLcOcr0BhJ2y9+Wcnp7W/fv3azabNfKzDiUDiOzMNjmwGhzSXzMDPrYFPVwuz5e0bty4UY8++mgL0Nt2YcfMDmbQZKwGufzYJrzMTn+sn26TehiXlwH5jnZzP6ftl35ie9RvwMCPzwTD36G7jH06nbbAie0M+SbItv0B6M0aUZ/Zd+bCx3rQv66lQS/750M46P1qtWps3cmgk1eziT4Oxj4MGeKXh8Nh7ezsXAAqjN92bibL8Yd72UMKQDIDbbnwY0bTOoLOwv4bQHtOrM/00cREsqXUwbwZZCI/9I3PrY+0R7+YB8vYCe9lyobhukLFGQTOCWOpWtPPBkbOhqvamw0xyMycqcvgxFQ/yli1dsAZ/JwROHM2AHEwNSjByL1MMBwOazqdNn2pWj8BBGtE330goAO0nSaAqN8/3w+GU6nqpuxtxFzr8XAfY2LpifH5VTpeHqXg8DLLd/bn+eT/zNQyqDMWg2PPtzN2B0Eze2bGkB0y9ob03LOEnjhAWV63bt2qD3/4w3V4eFiPPfZYjcfjBuRYbw0ccX6cQwdIc4AhcHhczvKRF8yeAXYyGXk8A9daXrdv3669vb3W4awGSbRP4LCMbL98ZnvgfzJuM1uMk/l4+umnmzPI+C51xq/leVCCZHBvoGm22D6JTdWux7pom7UtGfj5HvyPA3NVtQKb6yOY276pBz1nGXY0GjXfjcfjBkDQf4MHfKRZH+u2wblf6cLf9j9nZ2f1+c9/vq5du1bveMc7mnEYMBlsmWUy+GbvrX1a+sDcc2r5OkHEFtBbCq+b4hpk4CQ/EwVkhx80250xpWq9QuPPnIwzngQrTpDcnrcbODn2S88NEn1/FyuXbKrHbOBZVa19h2wrsI92MvOwsgFcV6wkk1O1fiTZ4MiBtGrNSKUT68rkfA8OygHeRuzgbWrVbduxoMRWSge8BCQO9lVt1sHjRx6wDmRVfM9vnIj/doB2IHAbLg7mjMHg1I4AB25WyMHCmS2fzefz5r1hZvpgu9JROcAwx17ioV/Oxvjb4CI3p3rvEHL13BKwcxnaGbbZsswyR6NRPf30002/HZytF2Tn7itz64McuYZ5QS4OahTGZECY4BA9zM+sj+PxuPb29lqb9K0bZqVyHwmO2su0to9MXubzeb366qu1v7/feok6wXgymdQTTzzRAoo8DWY9duC1r6Bf9NN/Z18SKDhZoW6SDNsI/gKAZNBpYDmfz+v+/fu1u7t74cwm20uyrXxmXUL+MK70n72jnjP6aD9rVoxr7M9y2RB5A1TQ++vXr9fOzk7L97otdBdb8pzZhriPviUogOVyO67PLJOfKsTH3L9/v3Z2di7Yq8GMYwaAt6ou+Cczqk5anaR2JRpOUJhLrsHneA7sN5xQUZxw+XMnneidfZzt3QlPr9er3/3d363t7e36zu/8zlbczPF0xZAHlQ3gukKFoGfHjLITKDk5GyV3IK9qby61EfO/lYN9H+kU7EgBGgAc35+GYGrabBn9rVoHUABc1RrUwBA52zTAoi4AgCl9Owuzd2kQGWg8lgR/Zgq8FOss204AZ+ExY+RmDskikV9XPQkMYdTshD3PgGL+x1kls0HwYHzOdieTSbP8yVw5EDGWZKjMphBYqc/yYJ5xtNZbvmd+HXDMfBFAAIfOnhkf+7q8wZc+ek4TXHqOkF2/369HHnmkxWb4bK+q9ZEgXvrykg3O2oHWeukgsr+/X5PJpMUgGXg7QzfDhgwyMBggY3sGIg6wXt42e8qcZaJlAIt8sFsHS8ChQZ2DLk8A2kYNPJxw4A98wChjnEwmF3yiky7PLfV6LMwRcifoIwcnMx4fic+73vWuTnbbvsjL1cg6wZ9lwViZE5IRxsb1rBhgR24TmdK3/f39Zg7s19IPGaTYxphfJ2j8IDeW45gHrmP8yMX999/okpmtqvbbKcxEoovMVS5xe1+lfbzlnXZ569atVh89173e+b7c8Xjc0qOHlQ3gumLFWX7VxVdz+MBAOyIrJN87SzDDYcDgDM0ZQNVaGU0d2+E6wxoMBk2AJVixJOinPrjv7OysObiR63AABCu/tR6F9z6MDFr529mrnbAzoHS8HKlhYGLA5CzTwYP6vUzkx9e75pJ77Cxog/HnkrEBEHPktk2tm+o3aKHfbPJmnOxBsQM1W9IFqHPZej6fX1iaSACd4IexJ7tkkG2WxTIxEwvj4CULj9Fz7WDnbBz5cv9qtWq9ABsd8iboBGvoKnW6n16WTZsdDAa1v7/fyA5nTnJhNnEwGDTLvWadmJu0DwcVxmDZGyyjN9Yz/A562XWYMbpnOXvzs9mQXq9X+/v7TV+csMHMsHxm4Gngg/57fMg8mazXAzX2EU5kvD/JTKbnlutSlk5eV6s2K2Y5mqmyzCgkDh6/fYSTLSeuzINlYN1HruiEmR8DtdRnAz8Da9urmUgTAwaqTswStHvZFTmbEbNv5tDVJAcYiwEYAC6BKuO0PiwWi3r22Wdb+0y7xmo9ukzZAK4rVpytmrmxQjroms4dDAat86v8JI+BFIrpJwZNxXYFIJYuzCy5vzhHHALnQ6HoXRnF2dlZvfTSSzWZTOqxxx5rgjWOyMAPx+fjIAxgCDIuppLpKw6B67uYGt83nU5re3u7lWU6oBB86Z8dnB08RmsWwcWBP4Ojx0LBoRiUeGnY8+xgT72e13RoBlnpuJO1NNiz/hjk2vk5SBFUnfnyvQMmcu4CTx4/r0Iyc2jwZkcNu+pAluwLzp9ru8aXDteJkOfLc+ikwowSOuWEArBnWfvhEIKAEyu357Hxw54e672DnG0UOZhRTIbBOsH1Dq62LeYy54/5xb78FJkTxEyQupYZDSA8F9aFBLwGG8z1YrGoo6Oj2traapbgPE4H3wQZbgfbcqC3XiMf9Mn9dZD3+KiDa9EHJ3TMv8dtAGHfZV32niWDYHyvZYas7I8ta2zQ8rYN2SeYwXN8sy5bx7jWsrMuoIeMG59jtop2nRCYZfN40tYBf28EdG2eUrxCBQNy0HGGtlqt6ujoqFF8A6LFYv1aCbJ812k0DuCoqpaTw3DNUBjJm36uah/UaSBG/WR3XNvFUp2dndXt27ebp5LslOx8HADNdmCwZprcDllNBgQyc58gTTGNjEHTN4MW2AcHa4qzYTskU/3cg9PzvNN3ioMMDgVQaifB9wRILws6wNhpcxAu47I+AoT8IAcZezrAqjaQ4cfslnUK2SezQLvZV16Jk4E+wZl1pmq9TOTruDfBiFkinDD/Y2c5BzBp/J0MoZmxLuCBXp2cnHTqTerEeDxuHkBAtiQP6S/MMOQSDUHT/Uu9dOADBGID3mKQjImDbj5sgewTAGAHTtLMopmhsB458HluSXAysFo3GDfFPqxq/S5CdNW+KAGDE0Tkx7gNVBkPvtc/9M9PL5rF4xpsn7m37fB3vljZy6n4cyf4tg+PC/+AXHyEA/UxF4zDMnZyMZ/P6/DwsPVwhhkoy9UJBbJER8yQeZk2ky0STebTKzqssKADZkbROycfyRIytjdSNgzXFSoOEAYVOBkQOoqLMmDgLOdNp9M6OjqqwWBQu7u7tbu728oUUFQzHBQDONOzGLlPYKfwXVLNCUoygx8MBvWWt7yljo+PazA4X5Ksaj+pQv2M30/x2PkanNoBVV08eLXr1HUbu0EHSymZyfOkkhmhZLf4YZnSsjeb5qU3O1cvF/nHh5mmU3Mm2u+3T+Lnh+tZFspMt2q9D4TgwPhMrSNXxpmHQnr+ksHhbLVkrMxM2DlaLl0btQ0GaQNdyqWGrmVz67LbMCCBgfWyK7IyA9fr9VrLXiy1uxhQ2Yknq0tSYruwHTMXuezmOryEk8vc2Gbus0JHCEyTyeRCMMZ/+EBfZIx+Ih8nftioH1rwOPBHZsKo23KnrS7dWiwWrT2itj3rMaDaoC63CzihMeDy3JuBQb+8hcPLgsjcc+blMq5N3+SExSDAyRqyB5zYdsy+eQnOvhB/h104zjBvtOsYkUtzHh9+pd8/Xyq+ceNGS1b4cusB7QGmGJf9Uc6rEwbkZt+GD84EGblbftYTJ9yOuYtF+0n7y5QN4LpCBQdmGtPZlvdk2YjJjpfLZd29e7c+//nP12w2q7e97W21u7vbclJWTpye1+m5titIeY+NAYYNysqXxlbVfsFyv39+YrrHhXPhcV87BAfd3HxpJ2zjoxAQbXB8bodiZ+bH0c3QLZfLunfvXl2/fr3Z4JyBzA7FDhtjNbNhgJeG7QDL3GDk3kdl+ThzRh5eGmAMuZHUc4RuJHhCX+zMR6NRa7+dHa2XNNDhqmrYT4CAnSjjNzNmsMuYM7OmHYAP93IP/fO+o0xumP9kDP0qHWzSwcGAPoOdM3AfXmsdM6OQ4Hc0GjXA1HNpQEJf+NxAPWVoGzZIM7gxuDPohG1wUmW79rJ+Ls8w1+lLzEBgywZnacsGxGYD3dcEbZnA2K4NaHi6NwOwGfEEJVznAG2WJveD8rf9KG06efbYHRuYJzNp1nVAetowh/Km/zYgQ770j/EwH6ljtsHBYNA81AW7Zv9kNirbtO+0HtAf9w1QbeDjJBYA5VhnIG2b8PeAb/pj3bY9UBxXL1s2S4pXqACeUBqzMQk2qtbOhGWI6XRar7zySj3//PN1586dGo1GjeInW4STeeWVV5rzr5w1oKCnp6fN9ziezDT9Ox2jN5BWrTMa+sT+CGf3sDgGR8gG4+IJSy898NvLfg4yDrJ8v1qdvzaFsXopATm4HsAh78TzuKnPgTjZQOTCEpDvTYYDo7ejpd8J5KrWh1hSv8FDgtJkQhJY4VgNTrx52PPul35XVUtmLMX4LCc7OX9mdsPAFJCZNuBg7sDhM7ywoQyOGXCsIzCXk8mkqRN9ZIwG/QQ9HwRJO9YL7rVteOkIIOK6uzbZ+xw6igOiEw6W+gwgzIbaHphrfvA9HGHCZ9gAMuxKDjw37jsFmRuc+McJkIG4EyTbW5dtG+yORqOWTGwLyXhZNl4ys8158zv9coC2LZk9RC4sP+e9AJzJZNLytQBzy5iXmTsxAVhZBw3SGL/3ATJOfBDXe1uD5YwsPEfIywwX15kl297ebgCrl+gtN/eZceCbaRNbHg6Hraft81gh5jdBmcGsY6Llwd9+st462Ov1Gkb7smXDcF2hggIAdrxObKXIfQ9cU3WeDb/nPe+pvb29euyxx1oB05kKyre3t9cCDr4Gh0/gRYG90ZfrbPDOrj22rjqd8XvTdjIaZr8c3DNjt0NKsOR6vKTmZTeudzYE6HG9PIIOMPFrVshGnf25OPjbMTIuyxIHyrwT+LkWmtygN4ObgwLOHkdTVa3PvGGV8dI3smazOxQD6dQTO+ZkMijUicxwkPfu3WvOpUr2i7mg/04E0MnM/nMpHjmateM625tBK+NhidsOnu9z835VNcDe93g5Gdl6LAZkllXu20kby2Uxg3qutW1m0PG7Qg1esIW0f8vbdurP0g/Znrwnhz7nNQRcL/NbbmYL/aYLL6myDGR2zCf341PZauE+2MbM6Hp51WNF52G/DVLQP/roNxDQHsyxdd73Wt9SB+3H6KOBr4EmYz8+Pm5tk2CuiEWOG/7fANlHVlh2Xvb1vll8cb/fb8CL/aaBG+3az2U8oy0niSkf7MBzaKaMsaEjFOKUk1jGcNmyAVxXqHQBBwzRmwwdWAyQtra26ubNm/XYY4/VaDRqkH9VtRw5nwEcqNOBke/pl69xwIFBIJN2sLAipiPt9/sNI4ADx/BMp2MAGSS9SZZ7fHKxsyDG72MqcK4ADAd5M01V7VOxTdH7cE7LKpmnqvVZTcjNAdPBimLq3U7S82NG0E7YmaHnmvrtHD0+P0BhkGWHbydK/U4O+DwZEPrjJVSzgHbejP/s7KxefPHFWq1Wdf369VZWmpm0x4xsc+8gTtIsD7Iwg5qydRDEETPPKWfs0UFja2urDg8P65vf/Gb1er26detW66RyZGIwSF2AbAdAdMbgHBnCZnUlPc74LcsETMPhsEmAeP9nLi3R39Vq1QBIfugX+mY9w94NotAFAzizSN5SAQhFxxi3/Q9j4RqzY9Y/bNj2fffu3dra2qqDg4NGF828dgVuj8W+mf1tZt/TN9iHWX6wJwAD6wnjNQC07/ayrn2I7c5MMv1mOdV+BLmzH87bEAxyvCzLk+be7+jkkOTJPtx+zWCMfvBaNCez9IV+2N/YVtP3AHC7ihPlrnnJpfA3WjZLileoYJTOKKuqUTgUzOvwVevMdjKZ1LVr1y7si8IBYkAYmYNRBh+CUgIDM0UsixksZcbgtgzW7CDsVDFs+mkWwvJwxscP4IC/7WiQhRnC1Wr9AmMCh424qv2OOBtz7nujP3YS/u2lHWf4ZiANIgwy6auXmeifnRYlwaKDOfPId/P5vO7cudNaijHlz/WMHaBhsEqhb/TBjtAA3Jlr6jDyHg7P3/n2rne9q65fv960R92AZgdAAyB00wDfIDyZAc8HOofcfB3fUXxOkvUuwcNgMKidnZ26ceNGI7dshz4YeDqZot8GRsyXA6sBrm3H31unadPyRNdSp5E9djqbzVovWbavwSdQXwJX66dtjj6akVqt1k9omyGxfTMu2yxjsC3RR5IQX39wcNAAA88tfzMn9M3JIe0gO485E2kSzi7WyoHczC/15bK1/W6CYbO7yBs9dx3j8bgODg5aqyrc5+MSWAZnqZD4YmIgtxzY9ycry3FDXXruRM8A2v223+M+7Ci3rxjc0rbtzPXhg7Adt+O4aKB4mbJhuK5QsVE6IHD+VNUaLFW115mr1tnceDxuruVzDNlBAEVJSpyg4/XppGXN1vR65+dV8ZZ7Pq9ab+D2fheu8UGJ7kcyPmZ+ugIF3/tJqfF43GRBdrTOQC0HrjXwxJk4mHs50qwG/2O03u9gGdpxeN4Af+6XnYV1woGEM8uqqvW0lUHAcrlehvGSIP3i9Sp5jAdt2ElR/BohA0hkhwP2mJlXs4VeKgJUOeM1Y8EZc9k3szkOrIzRwHA8Hrfk7CDJWKyjZmUcWJxFExRgg5xZO8heu3atGQ9Mq+VhJ459+4k7synWvWxnuVzW0dFRffOb36y9vb26du1ayzb4MdjPpIx5YYkpN/LDvPHQCPJCF9xG6l2ynvZ5fM840NvB4Pw4jF6v1zD3Hi/XIB8DQPTDDLz9SoIV7DjneLVatWzETE0mrtSXPo3PzQoxBvt12xK6YXuibx6fZek+OHns9/utfU6Wt5Mjf0dfDWbsf3zsBkvz/O8Y46VVdHu1WjXvujUg8jIlsrDPoi9OqAx8nCB5753jKvPiZMR1GNhZRk5K3KfLlA3DdYUKmdTt27cblsNZuQMRmQRGTJbL9zggv7jUTIkZg0T+GEEyUnZGVWvHYGdJ5lN1ce8ZyspvMxAYgM8XA8gwLvfVG+ir1owGxuxNzjZiMy30HTBIYGNstOPlgmRIqCM/43/uMZD1HOFoAAYJAMzsGZwwNgcFB3uP0Q9eMCaYAsAp88F4DRwpABUDYPpo6t0BgTGbIUigwm87PC8xWc70zw+XWN6MwwHMTx6ZVcjs1ToG84md5LxubW219rsYsCdI9sMrAHZ0Nm3WANNBwUtA6Db99v/8/upXv1of+9jH6r//9//eSnYo1hsvAXYlB95HhPxTBsnecF0CC+uUx2x2N+fVLGMCbuYbHcvgZ4Bg9hUwZzay3++3HjKyDzE4t48yALJ+WB8NZEisHOxhP80CJbjyuAxuvZTHj5fdrF8Go/YRnjf0knn3AbbWfcbkBMk674c9DDRpFx1xUu3zAPGZ9+/fb+Kc5yptm3sYewIo2kHmlpfn3AkCDzbkvkcn4dbty5QN4LpiJZmbNF5nPN4XBFtkitTLPavV+vwmDChZmel02jgjnk40SLHzcYAfDoe1u7tbVdU4LYJ4Zns4xgzIBhG554L7k9nCUMiCeZKF5SazHhQvsTpAV60BhQNfAgPkSJ8MOvnNGD0fZHh+9VECJy8DODBj1LBK/OTSA789XuqgTwAfs46Z/Rk0Iws7Rr9eys7NQYH/6RfX5QGSyMHtkXH6iBTatdO1s8t5oP5kjKgLAGyAwxw74JuBMPAxYDWrYBvhPkC8N4YzzkwILL8MFvTBS4jWX3xCVdXe3l7dunWr2S9mZod5NrAkeFp3kjUxoONvJ06edwd4M4MU+gBL4kMoLR+udZ3Hx8d1+/btJilENma2er1ecwyCfaLtycu6yBndc1CmjUxoaNN1v/baazWdTlt9w4bQm/Q96CS+jLHu7Oy09DYfoKAfvGqJsTs5QDbox3J5vocq9ysiW+/zpZ/oNL7LemvQiQyRreXnpJx2/DaB4+PjevHFF1urHvaBBpIwafYh9qc+qNXkgpN1ZOw9qoDhqmodxO327Ffol23mYWWzpHiFymKxqL29vc6DOR3QHMjzOoo3CHIdDNSDWIHcD5T7cfgMhctlBgeldCwYKUaEgVS1T6w2awWow5D4LIEUT/F5WdQsQ+5fsUxcH31mSdbFDFHS3XaojMFy9N4js1d8ZkBDHx4kEwe6zPrtKBN4Uei7H5O3rMz+4IAIWjhKL6Ewr86OGaPrtdNFHxiPs2Rv+M6NrV2nhlMHfbYOeo7QHW/azqVuPyWbc40OGJw7c7de2yb43vIyw4V+JnDMp+AMELr2Qy0Wi2aTdb/fr2eeeaZ+5Ed+pNkjk/exTQH5EIDN7tDnyWTSCYgJ4H7qL/USfbS8KGZW6L831GdCg+2+/PLL9eqrr9Z73/veqlrvI2MPJtey0ZqxI2/mmXkyM2NGzgCcQI5PyqQNhubs7Kw5RgMdso7Zl6IbJL4GmcjW9g6zix5xD4dBoz8POqOKfhoooV/0xT7RqxIZhwyy3FeuOTs7f1fu3t5eq27uoU/D4fkZkvv7+y3gjm6TLPiwZ/qD/ZIo2K8QMwz+kJuToewzTyE6LlgfkzW0H7pM2QCuK1TM5qCYBklpJGTOzrxN46J0pj6diZqJyaW8nZ2dFiOQy5ugfrIe2uY3Sp1MgZXfDEQCIvqCgyCz93eWBX1w0CGoOBM1U+MxUb+X9OyccQbe64PcurI9U/12mlXVPAEG0IUp8TyyN4J2/ZJpg01vcuX8KXQCcHJ8fHwBNBnAIyvvSUA3/N49+pOMC8Hae4LMYCJvZML1Bj7022zZfD6v6XRa4/G4OcfLQIo27cirqhVQq6o5ssNJB3JEVzw+b4TmumR4PBfUacBrgO6AbhujIHMHZYNGO3yzrNg1yY8D33A4rGvXrjV9tt5ih9ah3B5A+8lKolsUZGc7tc8BGLDfiaTLSRP94H2FDm7IETvp9/v19NNP1+OPP95i7mDYrbPoXC6Bm7lh/quqYfT5nPbNptiO/YAEPuKRRx5pZOQ+eEnO+ku9TjK65ghdxhcYSNoHUa8TLydVfG9AyPx6D2GCyfwbm07Z4JOPj49bsmIcBoLWN1g3J45OmG036DNyc6JDwY5zOdtz7/3FsItOsNxfPks2kITzsmUDuK5QYRNqVftkbDsHlMfLgTgy73nBqAhK1MNnKJ5PVcboqs6N3WjfjAVOIR9XNwChb/3++WZnBwg7BoKuN3/bSHCYjMtZhdtOdsHOhj5brmSFNlTLyU5nubx4Tg5LXLm/ymd6GaACaJAj/fATQDgwNl8jR5wDDCSMAsHQwdtMEi/eZq4IXJ4/HuG2LjmDc0ZHUKUv1in6aRm4T2ShDgAU5GwQD5Bh2S8dtRlP7rXzNjDKp6Yo3Me1ZgTol/WR+ctkwnUbEDL/Dg4OuGY1h8Nhs1RL21mPx207BdC4v8kyUa8zc88b1xF8zTAZAKTMrXN8x3xSDBw5sR/fY9+SxaCCMRsYu3+24QR81iHL0TplQGngwfwgDwdb25XHbSCCX3ASDSCmDwayzInnyj7NwNbAHRny4+Qv58Ggiz74bDXbYwI1ZEf/GY/1BD/AdwaeBqiWpe2J8VKHWXPbOfpglilZxQRbtq/cskO7jpuAYK84eJy2xcuUzR6uK1RgKVKZqtrLejg4K0jV2iHCZsBycB332kGi/FUXD0DkezMXzhL43+v+3tfCOvj29naNRqPmKUYHcu532w74jMf9ov6zs7M6PDxsrdkT7AEnBDr2XzhIMmb2vuAUcw8ODsSbrx38XTB2vmfeTO1bZu6T2YGsj2u7QEcymTgS5h6WzG1Xtd8T2RWUc8+Rs9gM5slMUY+dNnNIv5kjxmBgQd0ssTvj9dz5qUHLkGsdSMlmq9YPWeRGagcp7y1yQOM+A0jmGN0x0EMnrQMO8gZaFNspeu9AabBuIAcAcPCyvVPsI6jXzInBhQMq41+t1nso0x8YoDJu+tS1Z8YMAnad9mn5pb5arswlutXFJvG5D7E0IGbc1vO0a84oY67zHoC2dYLx5Llz9ntpc16ZyI3o9ulOZJ2IepuInxy2fPETyJ2xeB5tT/6e6/H3XHNwcFDXrl27INf0FfaP+FlAWJ7f5iQc28dPWW6ZLNtveBzZf+ujl/uTJbPsuhKF1ysbwHWFCgZnAzRYyiwMZeZ7NqtjkN5Y7WzWjEpVXQASOG4chZkz+pFKa0DkfvpwUwNCO+kELjgpDDHP5qqqxjheeOGFunPnTrN0yG8Hkq49L379BZ9jsIzJS4kJYL0vy+DDTgSZ2UGaYQCceNmT9jPLdQbH+Jljxkm9o9Go2Rz/IPbhQRmq6/f4mBezEfSfAGQHZpBnh2dw6SCdDhzZWQe9iZ6xGCh7Y6sDsJkNbIe+W+7WLwdh6zrfOzCYWTCo834z71NzAHRwcd2uM22U+wkKvt5AzHL2fBsQYDMO8AmosU90FdnmErR9i1kMgw3rjJMtmE2zDg5y/HjeXCc65EDLNXluFHroMZoVsp6k3TpRMuC0TThRBtgyHwaCToDsB9xH+49kGN2XZJ3c3wSE1nU+t9+y7tO2VzgM5NIf8DtfxUVcylhmwGmQ6q0q+G8nv8Q1Pktfx2dORmg39zdbz2DHPQdpt44b1tfLlA3gukIlAZafGnJQBXnbuftJPW8wdNBKB5NBYLFYNC8ftePN4EVG4TpxKoAU6sh9PwZrpmltGARPByFnEgSG0WhUt27dajIp+oUs+KF9Z4A+4NSGZ6eEMdlhJrBzwbEjr9yLQrGDc8B2v+iPnY71pGod9O1MfAqz+2zwSv9zb0kumyIP/2Y8eUChGUT3yQHXzIuZIAfqzCAZe4IdfnueUrcZu0Gx7QidR0csd7dv0Gg9NMPFGBx8PWcsM5lRzmDhsSE37/XznGMDBqTWK+wo+2cf8qC543vqY6xV1Sxncw312+dUrcGK5xCbsX0eHx/Xyy+/3DzV52TGQQ6dy6QAsGlGwvPP3iDkbcY1GVbrt30x84AfMcjnOy9bJ4BD7t4/agBo4Jmgz+DXbSJPdMmAl74Y9CIrwL+TIfRktTpnLRmfAYttA/nSN3SN+xLEwxTbF1ju9N/zaL1Lxo+4kUv6Tjrsw9BtvrPdY1u+z3Gzqv2WDus09mCf9bCyAVxXqDhw2CHkcpj3tjhbrVorKE7JS0nJ4ljhvG7Nd+kwnd04UFddfHLSRk5dGcj4287OINPvc3Pw4vvhcFg3b95sHp82WMNo7IB8r4EF/cf4nbXl/ot0rA6QBqEGQdk28+LMm2t9L3NswMc4HVipj/6iH2azWDJyICF4cJ0dDnVyPX8TvPyi73yi0kEgZeGxobfWIYNPz4+DkEGls2rPn8EytuRAnP2wA/Yc0S8v4zJPPv/KgQe9SGDlOugLdsFcUneX7jEegwsnJfTT7AZ6QN0G4tZx668fZqC/2XcHLz+9Z5DCdWZMnFD2++vz2U5PT+uVV15pzYWTRS+nWUaM2fvkvNTkfYckf4zbepayZl6ZR8swdZb6nTwge9h5gxOAqfvrxAqdMGAyQ0Z7BsYU652f2LYPYdUhfZntxEwRtmBAaFDqJIC5mkwmLbbI/sLXk8AjX+SXfp/+Gzh27ackNnF9xg58AzJ1gu3ffOeVHuudl2E3gOtbtBjJU9KxrFbnS2mHh4cXMlA7i0T1Zncy26d+7kFpk5nwfbnB3ZmLwR1G7GzSYMyBimIAaXAAAMt9M87oYOksGwcB6rehGRB6v5qzfgcsg5muIOBxUKdZn3TMyNhMQTIeOY/U58Dt+bcTrzp3EDyQUdV+pZBlZ4drZ2N5MwYH1JxHAIl12Q8uWOdo33Nrxgjn2O+vnyRiidqZsufBQQP5EWSQpefRe/4IErC9jMdA3HbqObLj5j4fPsy9OQdehnLiMJlMWmPBFgycvXxoRuLk5KRhKWjDyZIDidkf7nESlmDEIAw5vvjii3X37t0Wy8F1zJMB4nK5rL29vbpx40bzWjKfdWVfwt8OmMjA8232zXbl9rv8q/9O8OFE1ICAe+y7XJ8TgNRJkiDAkwEfMjNQOT09rePj46ZuGFMnM67fjJd9k305vifv4SXrjg/cR1tuN7cCAKSp12CXOaOv/M/eKceljCG2H/fH4zfQop9uG9lz9I/lYnm6fa9UIBcvc76RsnlK8QoVZ2Ugf54gcwZBVmSldyDOfSd2ulxvZ0lw5VqChIMtSufsIbMd1+3rnUka+FWtjyTwGD1WrjNYSBrd46Gd+/fv182bN1tByIHcQd/jM9tEG5lR8xunZdDaxc7YOXqeDExN3/vsMQMOljW4147fQZAjFDIzM4NKP/xUmsGEHbgDivcdJaOS1LuXku3MnB1bZp4TX8c4DX7zHs8lfXMg8ZNnZP6AQoCcbcsJhXXYesZmeDZPG2jlwyrI01l5Bq0EU+iO+2Fwy74n+mbQYabbc8i9XJ9AEPkYJCF/lqPdP2zw5OSkvvSlL9XOzk7zTj4nMbTt9yByP2Vvb6+Wy/Mnln2Glv0Sss0Ezb4gxwmoMfNlgEk/zKylXWXiRRtc0wUCkB3FrDsgjn7jR+iH+2X/4KeXrSvuv5MHrrWdccA156s5oaGflq99PZ8nQ22fZbDMdWY3SXbSB9rvGIDyt5fE0detra2WDzMTx/IpY7LvM8DjfzPnlm0uJxoo5grKw8oGcF2h4snlbx89wFk2Vedn1lhBq9YbAr0Z3kbQlRFgyGZhbKDJamRgtEMyBV613nuDc/HShbO/qouZbxp21ZoudwZvloLPt7e365FHHrkArrzEg5yQgYOQgSG/bYAYdp6DlqBsPp83x084UNpB0B9njw7UBmTJ2CSA5W8HZjsu+p7zlBk7/WX+YEXsPOmXHb11hvlypo1s6C+f+TuWyTLw+WEIMzR2vg4y7q+ZNebdoIRxGxD7M/qYDFAGFeurgZ9PmnegyaSCz32uEvVYFxxQrMcJgvLpM8ZAX1KGyN7sBPJ0QZ9sp5PJpN73vve1lq5INKwbtlX/2N6oExs7Oztr+b7VatWcOeeDTlO/mD8zLgbM1uO8noKMDVicwKYdGlwkWOPoGyfE6FP6cObPySB+nHHabrjXNm+fZuaMPvicKvTAgMWA3H13f0k6/H5SF2STgC2TT9u/l3BtV9ifT6O3jfiJZfvCTCqSlHBbthH7SM8zc2bduGzZLCleocJkgspZErARVq0p0XxqC8eaSpAZUNX6/WgOnAYvNkK/B85nbzmwc73pfhQZtgxgl2AGRsZOJNffDQSRg1+DYUNJx5GMjDPv1Wr1wJfhOsv3/yxjmrq2A+A6v3jXTqCqveE6sz1nY8iZeTVYSWDoDM/Mj2XicVa1j9wwmOEet0G/PU5nf+lc6YOdrLNnZ618T/8ddBm7N8tax2A8uJfs1c7Se2nMSBj4e3k6x2r55FixHYMHgBbz643i2HMufQyHwxZAdyKELDz3BD/PIWP0cpGXfz3mXMZiDGanqqru3bvXJAlml5Kx29vbq93d3Ua3zZQh29Rr/9+1z25ra6vxD+iM55p2kjk0EMZ3eAnfgNY2m7JxnSyxe97wd7PZrGWL1MOmfe+nM6AzsEmbdVvYAOO3zSfgsu+j77yyJlccbGfI03Jhjx1zDaNqoJp+hbH66JEEwplYUlf6Yb5zv+wjfB9Lh/bb3Ockirbx/940z5wYgKUsvcrjubxM2TBcV6iQCUEd2wBx4HYinCODc+D/qotPeFE/ysuBlyhdKrIzKu9f8Gnvzgyp0wds4ox8vgv1GGTgBLINX2+D5TPacraVNLvlyudeWqtqMzFkbMjEYNLMi7NPGJXVav0+utyDUlWteeNaioEOY8oASnbnTBwH4yUPA1AHR8bh/Qx2Rs6gDTRxSg7O1rFer9c6usPggx8cfma0zBMODJmbFcPZc9o++oYMzGIQVO28+/1+825Ps1vohvuSLIHbwsYsH+uPlxcsV+bRSyN8jq44yyZgWQcNBN1PrmNpBT3xUi52apaCsWdAst4B6AxgnAA5wCWTwN+ZAKDbAEXfa4CWYN8seR647H7b7o+Pjy8Ee8+99cfX8X8uC2fCxzitw8wPddiukYU3qzPfZk/zSWXmINkey9hL+/bP+EkfY2PW3yDYD2kZ5FEMfFwHY0XXrM/4KMbrLRuWL77p9ZJJZOA4UNU+5+7k5KTlw/EHeZo+13vrALqJPyWhtC9xbDZDetmyAVxXqGBAvEfNDA5GjwF62cFo3RmdwUvV+qkgO4gMPC4oazpBZ9i5NIMisuGYfo7H4+aAUvfHAS0dGfU44zY7wu9Ufhs99xjYmS1jDBgyrKIPJ8Q50GezVQ5ODlbOpABrBDCzQGaIuA/HgzNkbnAEpvRp24CQNu140KkEcx6HZWbwYwDs+y1z75Gy82RuzHI6y3aQcJ+4j7EaXBjwGdSgq95X50BsEOWHFbAp98lBj+UKbDPBTgIE5OH/DVqqLp7HhA5aj7BXz7WDFt+x9cBgiz66fmTgYGwAbTl4rm/cuNGASQCCl6JgF2jbSRJzmGyR/89lzPQDzIF1ykCSvhsQGYwYSJiFsU77c8+pWXP6ShJpdsXJbzKTFINpb2OwH3eb6AlzTl+d+ABYact7EbnPNmY7tK6YtXESadnO5/Maj8dN360DlhH65pUWxurEwjpi4Gu9tx7b11m37U/Z++etA9mufS39w56ckNrWfIyQ3+5h/3yZsgFcV6gQ/Jw9pNOqWoMYM0lV6/1QyXgZsLne3MhshsuKirHRv9xEaOfB8pxBTtX5xmLGZUaGtgGA1IcTtmxwshQzIM5+kA3GA7AxUMBgcx8D9ToLSqNyNknfbLgEwAwC9NUAFgfiNjMIEtDy6SxkR79xMDhN74cA9FAHDjXpcYM75pe2XJ91wiCcAkhBP+1UncHmpl07RQdvZMH99NOOG9Dp4Ep2m3PkoIYMDLC51su5Xk5JPUnmI3UbHSJrRtbcZ/Bgx+82bPdmYswgOOlIRsAycJBGpuieQQz3eX9MMgG04SfJYNC5x7JIgLparfet0YcM1MgsGQUzJg7EHi9yNmhhz5FZf+Ti8S8Wi+Z1ROiyfWvKjL4RlNErZAILY303aLU/MpBwkossbFuDwfl+N1hM27bnNxkt5pIEz/qNDK13TiBgzgykmdtkzGyv2JP9ECDHSahlZP/t/lOv46bHhv4ZVJ6enrZiI8XXsSRKyfbwNW/0WIgN4LrCJZ2jsxKDBC8LWCEpzqBwCP1+/8LmbWfBVe0N25kZ8ANzYrYjs9vMGr2BfrVa1Z07d2p3d7fZq2EHaEdmZ+SAhTGYtahaH7boDBSDoti5OQN19otsTGXTrp17OmA7ND7Hgfk72vKSpeXW6/UaxtDZmgMg8rRzRocArs5MqSP3hRhAdIEp9MNOJv9mnN5kj4wM5gELzAkAzVQ/js1LWSkbJyK04+VHj8HzaSDkLB7HTGEcZnaQQy7vUKyPPs7Ej6hjx8n0AY6rqmF4mUcvBxvgmUXyHHhTuRMeB9NketAtWC3AQPoG9999d+LiZV77DtsN84GMU49znhl3+iXG6CCYvhAddcD13lfrp/0tcksA7wQ1Exwnl9iMAQo6nfqEHNAhA6YumTNO9v85iUvbQy5maunn6elpUwdzkokIL5OvWh/6aV9EXyz/ZDQN4tOHdIEmL4MnuEk217piJo35ZGuDt6M4NjL36KPl6OSWeJSJ1sPKZtP8FSpeMjKatsGZAbCjNDDBafnJNm/YNNOAcmXGm9mVMxAH32RyDJRo307BLBNj2t/fb6jwHEs6DDt1n27tbAZZGpz4SbX5fF5HR0fN3xipX0fBvc5QkdF0Om0demknOx6PLwBKGyx1OYh6OQb5IQ9kzpIRQchLlAbkBGofqpmgMIOqA5kZB8bl6x3wmSN0ze3gjDyXGTy51u9gS+fFNd5L4jrTyaKbfDebzZq5yHdHosMOMJZJZu4G2tzrPhqU8Tk64SDc6/UuPNVl1rPLzg1Mnbg4GHruDNzNNmBH9gOZvCA/9Ij+5nK4++5kyLqEzP3ORCd59iUOyPTJy8NmqJbLZR0dHTV7B+0fSZqcWKSMGZ8ZW+uifRa2gN+hfsaRy2+pnwZbjMN2z1jpn32nZek5ps5kpOwTLDOuPzs7a94PmvboZIAktapa7KZtjBP2zWDx2/UgC/tW9Nt+OX24mUnbfiaGFAN2ExF+uMw6CukA+DKbzXwALumf93x1PQTxsLIBXFeo4OgJ/FZCFGw6ndZ0Om1R6YPBoJU52WE5mBi1e2NkZoE2GgzDS5pW6tVq1SilT6jGmAyA7Cyq1u+u2t3dbfWH8REk6CPFm06ph8/JNJ3VIx/Gtb29XTs7O41huR6Cg8En8+Dgl4V5AowhJ/oF8LKDMAC9c+dOffnLX26cMTLPIGGHRLsOrsxzPhHm651x2mk7m6s6d9YcvOhlB+ulXy9isILDQm4+UdyyzntwYm7DgShl4P+T3k+Gy2CT+wwi6Sttmk3IwE29Dm5c5+UP98cg2EmRmVEHWRx8JiHWfW/S57UsZrEYi22PdvArCZZ9dhHXGcC4ffrOPQZuybzSBzNBfgLa/XPdnhcHzslk0kqSnJAhE+ug67C8k9niO9sfcmKMBpy93jnT/8ILL9Tx8XHLz3oc9Meysd6g/9SP/+1KqA0ivMcVwOgnPS2zqnN2azqdtuwq5cK9Bq2vB/Lzf4Nxxuo9gO5PkgnIynZufeNex0bG77PWkA3FupoMeQJ0s5n2sa4bX+YVk4eVzZLiFSoOLmZJTK0TkKvaxz/YeBxgMkCjHOypcnCzE6hqZ/8Oqt430JUdAHzs/Mwo0CagzAwBdZqNyP5lYOJ797kLVNgZmXZ3kK2qZmnTTjWfVnHQwoma8XKwoBCIebUGAYflg+Pj45ZB2wmyrGaGj/ngx+NAjs7GuReZLZfrdyLSV2fOjCUdvmVsUG45AQCQY2a3pujd79RXdM0ydjveW+O+OBgOBusz0/jMc+NkwmMzaKRQt5dbrKNeFsLezGDSvjNjA0GDXetYzol110wS84f/yDoscweqfr/fYt2Qd+6nYUweA7aYwQ+Qgq+g755Hz9doNGoxTK7POsR9TjIJrAax1nvXU1Wt5WvuywTF7RnEIRPff3p6Wrdv365er1e7u7s1n8+brRK7u7stYNIFrOmXdQyZuk3LLllC5iO3Mhj0oBsvvfRSrVarOjg4aDF+tF+13nPmpfN79+7Va6+9Vk899VQrSUZ37d/dPv3rAureIuOHb6xH3J9+H51CDn7XZyb7ACuDYfTRPjmTO/uP5XLZetsFid5lywZwXaHiDMsKbIXnwFMzLs6iUcoMUAQ4nBrtOPNPVgRw4nVyO26Kg5MVPduoap9Q7P0avd76MWHYJ7NVuXeF6wk8ySbko8HeiE9AwWGTxdhJecMv9VvWHr+zJANP98kZWzJey+Wyrl+/3jwNxrjtdLx00rVvwdl97p3iGjM3dj6ehwxC7jfOh/6/8sortb+/X7u7u8191tlcpvZGegcAA0b3I0EQ7Zth8oMUDqwO1rYLim2EurAzX4uesCfMtue55XMzOuiOWRKPzTploGlA5KQKAOTA4O8tOwd4g0R0G6bEANa6zN8Am5OTkxqPx62+uV0HU8uIPicARleQOedYWV+6wD4yToDt+tIfmHHxXsDUDXSWQ1Yd6LFb25RB/3g8bt6Gwef4sS79s63yP9/7idjVatU84e1lTc9tytz2xTjdj36/Xzdv3rzwRgGzfMQDfA5zZ120XJ10J5j33DNW2zxyz3ac7Ji99rK9lx2JH5kEpx+03KwzJikMch0XbGf8Tay5TNkAritUoMeZcDtis11VazYsjTiDF8bmjdPeKOszbRwEsl0UF6VM47QjrWqf+eWMLcfkgEd25u/v3LlT/f75o+mZydnJrlarBkwmu4ezWiwWrc3zrs/OzkZqxtHZox2KmZDc0wGwQSZegrOzzU3J7p+BkOWU+4XSETvYWd7omNkM+mdw72u8143xX7t27cKTsMmQcS31GgwgL+tFgvoEnR6v++77M4hZHxiLWSf+xy48RtgzjxP94IkwnDn6yFNQBnWWhx06yxvscTLzR1BPFsl2lcHEy/1ma1K+uSzG/FM/foP7ACHWL75zPZ5vxpqgOOvBLknwuMe6YLkkwDRQzkTFjGEmD543+zfPk/cPpc/iZ2trq7a3t+vZZ59t7BJ9SlCKrNAr27mfREZe6B2b2b0C4Xm07qJbCSid5O3u7jbX+sxHg5WMOavVqh599NG6ceNGS+ec5HAt+7v6/f6F89aq2kkFoMVJj30KdXCfx5IrHiSmXlJNP2922Ew19VrW9qGM2fX6FXuXKZs9XFeo2Mlama00VqSqtSPFKO3QMUAypaq2QdmZVbUPSWTp0kpPHSio+8F+ByuuHTfXYpQYurNYAg59Xi6XdXBwUNevX6/lctnKcuyUclzOqswoLBbrfQT87yeFyPztlHHCVetlCC+vdGWczohwft4LRWbrMdA3BywKzpnrnN0zRubRbTsoZLbuebJMmUsDd7MBZmp8AridruclAzM67swaOdIH67Z11WCZ+fX8WGaM1UDfS4CMEwYB+VdViwE2W5b2kuO0vmX7HmvakZ0+sqV4nuwHrKPIs9frNcv5KQfucbvIzDpj/2Ow4cRuPp83T3tZl92vTBKduNk+zUoYHPF3Ml72HcwJgCfZDdsW/TQo97tJGaOZK8ZXtd447nrsn5fLZe3s7NRkMmndm4yT/YJ9lf8ejUat/X7Mq/0nQIs58pwZlFoGXZvPAalc74SvixkzYF+tVjWZTFpL2/z0euvDjv1UZ1dSR13MnW0tfYoTKnyC7XEwWB9/Y19sG7Ye0G/7FZ4I7wJS3tqRvv4yZcNwXaFiJ5qnKaMwKHHVRRq5K/vJ68iCYVuq1lnDyclJE0Rzbw+BxADQQYw6yO5gDjwuHAL3OevEAaYztZOlr4vF+dMj3iDpE+7JPEajUWdQz2y863uDTJaVuN4Oz4wHjjrfEsC1BlKWmzNVZG+wS3E2CJNi5+Ss0UHc8+hsvmp9yK4dP47EdDt9NkBF9l5KSOfl9ikGwIB7O2Pqp03650N7/b37gu3kIbCu0zZhGVS13//HmGCfbEOWgdvmOwIk2X2CRBIIA1UDWwMwy5U5MNBkXtFd74Mx0+S6uM82YNbC7Zu1XC7Pnw68e/du3bp1q9UHgreZ5wSpnjPkbeCSwDvlYftyG9zvvVz+7eBK3cwNb8hgjNaptCNvu8ikxMmjmRkvTXEPc5jJBXuQDICRX4KiBDiWn8eegMdvCyEhNJDyEh9xwlsy+v1+A1atS/h3xrm3t3fBz3vPrxku26R9rO+1DhiIO+45+TWINdC17rgPvtbJQvrv3Cv6RgDXhuG6QoUsJB2Ps+R0TgAljAblw2jsCFCQqvYmcJykwQqAKR8x9hOCZoEAARgwbFtV+0kqOyjA2XK5bBgg08kED5Tf4CQde4I/AAkOFDBGH9N4nWk5+Ob+E8bnjZ4OpPQ3nR/jMnB7UFCgv2TLPjaBgOJ3o9Geg45PnE4Wgs8IXs7ch8Nh6ywe9MNPFvkpKdpzJp0MX+qLWTPrJHNsALBYLJoNrfSdgOVliq4N1P4feXOuFe06GDn4MQ/UkwHbwdNAxSyOn5AygDYzY6BiFjKDqoGu5z1ZKAfxB51zZHBtAEbbOT5fv1qtmifxzLwul8s6Pj5uzRFt5fj4LhlwMzr2W9iig6vtLllis8H2KU4eDIA9d/gSJ72WvdkcM4vWH8A0f8/n85pOpy2f4DnmukyQuQ7bNWtD21znvYdO1Hq9Xut9jp5XZMRYvYKQwNGg1nPJbyddTpzsy/v9fuvtKdYDxk0sgEW1XAFz9ndOhj13Zrao274lkw36Yd1N2zAA5HMf2HuZsmG4rlhJR845IaPRqMWqjMfjxvgc/EzR20lasUybw2R5M7sV1ZnxdDptrqU4SHG69Gq1fnGvDdgHU1a1n3Yyc+Fx+cDPDHB2pDh/G5Tboq84Li9ZYHj5xCWGx/gsD+41+DMoor5ku7xHjIDAWA1uyCYNdgh2x8fHde3atea6BMvOPpHr6elp69F9LwlloDOw57PZbNZirtC1qmoFfQKUwRWO3PstzB46mze7l6ebu17bArpE+/x2wDXgzX2LZmLzKSYHQsZOvcjPYCYzX/TLNuOAR32wDug8n3PdZDJpApBlhlzMSFEYK0ssyM4AmX7nfiInMb621+vVeDyug4ODqloHerN1BpTofJe9oQPIzf1njGY/+Z9xG3w5aTLbjk9LgGY/4zY892bSkgHxQz1cY7sgMYEdJSFlrug/dXu5PPUv9QvgwGtsDCa9nGhbzKcBDVxsT8kYJvAejUbNfJqp8t4z65qTW7N1Hmsm72Y9fc5XlyzwP/xvhtKrHo41Zqhsw9Zz2kn7dz+sW5ctG4brChVnEjj14+PjeuGFF6qqfeYW32dGQz0oebI5FNiermWdzNy8MTABiK87OTlpQADFxmRmgjbsDDEwlP/o6KgZD8WAyvugHLTyHssGZ5AvW4b1MVDgXsZHv5Ev7XO/j5uAsUuGzEEdR2zAY0dmB8HYzTDhSLiebM/BYLFYNE6feXSmj+PA6XiPmh2idYux8J2DmzNKA3hT8x6f2UTAsIGB+5lLkc5sDTToEwGCIM180RfuMwAxI2D9WS6XraVFy8CMkrN3xorc/Dm2A6C2TaS8e71e0zbjsD2g3yRnvV6vYRJoh3EwFicf1k3aTCYDefd6vbp+/Xqrfu5hCd+AhvoBi+6P5Y59USeJo9lYMxsUAjRy9Hw5iNouEnAAyP3QEv008KcOB1wzI2bQYWqoG5+YDIyBlZMR981MuX2I7Zn+0icfnIzfTaCB/PJg0AQZPt7FSZOTOTNhngOvrpBAIhvrInNIYmfG3UCSRJ6xmmmy7G2n1ntYUMZBok49yehBehDf7P95KtXz87CyYbiuUMHAvE9rb2+v9dgpyufH67kPp+UsnUCLQYH6UUJnFElLV60dxAsvvFC7u7t18+bNlsOuau/R4m3tzoqox0DQRo/BHR0d1XA4rL29vRZQtHHztxkGnPFsNms9GYQDdobj1+oYLPoJIWdfCVYtb0CbgwQBBjBgBsXZmWVmOVMXc+g9UgAOgKWXhZM1cjBExu7D2dlZnZ6e1ng8bpZfucfg2myF5U5Wns7e8w4ANOAlUHjecHxm/SxX5G7dNdvBHizac1Cx7HOJjT4wZvSF+hxcq6oBFAb1Dmh29n6nXdX6mBLbt+fEoNdg0MyKZcUxChlkDKQAj9xLm1zvPjB2AiQyMCj2WUS2Tduy5wZgYCDvZJKzAK2XHkPavXUInaM/CQIMmjKBsTwozKHt0jIfDNbHoTCvydzQdtqB28PWzLhaBzxuz6PtwEmCGXAnUrnERxs5ZzlXudm8quro6KgBvi5m5z0/7q9BrwGxl/3RkRy/mS2uTVngc33USSYS6Sft72xvXJ+6SNycz+cXjoB4I2CrasNwXakCgjdz4/04vV6veVWJn2KpqkYhVqtVK0vwk4BVa4dq51NVzZM+KL0BRlW1GBsMnozPGQ6Oya92Idg5u2O8OIv5/PygwKOjoxYtXXXxUfgHZbPOuu302BNgw0MOGFWexWXwSR+8LNK1d8OnqBtMmW0D4PKKjQSQjGU6nbaCbbJjZsMy4Jg5MMjlhzaOjo5aS7YODugPwMPLhsy/lxE8r2a6DFAsS9g3+sd1yJg+G/Sgby5cAyikbZ/DZuduoJCvZzJY7WKPmSP0CEedDxJUVY3H45bzpnjJ2CyHN/lnXWYNqtZg2Ush1hPGBrBJpoo2kT2yyu9oD39imfu3ZeggZRuE9fVYmDeDPtsDc5UvgrYumik1GLddwK6Y6TAQMFi2XtgH5bK5WUnG5L1jBrb2p+ixddwMMNfYbgy0017sU/Mg0qr28ql11b7Veowftf/wlhXrAX3zHtMEPf7ePsoxjXbY63Z0dNRKIij9/vqgaNdFWzmPZrTt19Etg0rrYcqOv2G++cx2ddmyYbiuUHHgrKqWYni5yIpmpcSBVbXXuB1IMXiCpoMcgMF9IAt75plnWktbXhbj2sFg0CwrJktU1d50nkuXo9GonnrqqQaQ0G8zDJaDgUPuP6OPXAPrR53OaGgj+2MnwXXuO/2hLY/TIAGj9NNqXtJKJtCZqoMoY7Pjwnkwrw8K3NRLn5HNzs5OM1YDeGTByeNd89yVFZqd4zq+N9hLIOtgCFVvcI0sx+Nxa5O2Az9zDOvmYO/lcq5lCdpzsLW11QLN1j3qAywxfgc0B/20XXTB9ke7fgUWxeDQuo/sE8hRvwOC9QCd5PNcnqX/XUclGDwtl8vmqT7m0vPPeBz8kVNV+yk/+4EE8GlXXU8Rcg99yP5QB8Ey/Rb2PpvNmqMY0Fvq4UGA8XjcesCHefHYPPcshyXDZn31nHs5uiuZtL6YDTVz4z2jCRboA/tsGZ/ZZq+sIB/axX6wR85lc2LkoysYR5dvdqJPzHDiDyt7cnLSYgCRreux3N13dGYwGNRsNmuAmmXm8SFTyx67sfyRpZ/wp++XKRuG6wqV1ep8nZh1aibXDjLZlzQ6P82TjhfjwHnBtNghJItTtd4o6/0IKKufbMGhcQ+GSN94aSoG5aDLdRij9/vwwACfOyBUrTPUqvWTWbmMaFl1ZYbOeHDs3l/FPTx9idHRDwzcWQ/B0fsiHOA9RuTt8duRGBx72cBZsZ2Il0wyaDP27e3tJmtzpufrHfxwZJZtggsHHQd87jWoA/gQxAeDQfMezXxiqt9fvxLJ+k4/vIxOvxz0zfLB/DrIYQ9k2tYD5H92dlaHh4dNn8zSWYdpBzs2CCLYmmXBZjw/timDau9HS4aEd5pSF+P2gxvJVFon/buqGt0wGOfUeWwGPaQ+5sf9tm45WbTfsX3Sf7NyjMW2kkwjcrVOmBGlPQP5s7OzevXVV+vw8LDFUMGY3Lt3r2GBvd/U/m2xWLTY0kws3X6/32+Aje3HY0wZIGsviSNzltTwc8iBOhij2R8Dj6r2HsWXXnqpiQmMj7rxiQZeZn3NVNpnJ7gz04Z+4Od50Ttt2V/N5/PWE/n0ORM4y3y5XDZ24XaRL/VgT07+mBsn58Qw+piJ0sPKBnBdoWLn1hVIUWobvh0vn/FYP0pq48NpJrvlzJ9lBurEAB34rGhmPJKyNktgB+3A4kzWzob2/eg+gQxDZjkkT1p2NkyxjJIFMlgFhPl+nA5jyqBsMGQw6yDA2JNNo65cuqNvDi6eJ4MD95V+ZGBAxwjCCZCq2i/aBghRN/PE9x67AQF/G3Bmhuo+EQgdfFP/PUbPL3rmvhisJCNmvcxAb/uw/hmMAd6xCbNNBDbus2zNoqLz6APByI7cMvV+HcvXsjMjxdj8pKsTFrMl7qdlUNV+kAFwSnDib/TNDJNtyvNp5gi5WUewZQMGxkd/zGw6ieSHOWEDNuyJ/Qxj7vXO33t47dq11qHR6OVsNqsbN27U3t7eBaaH9p0E4h8ASOkLfJ6V59PA3sndarVqbfPoAqH0y+DTgMoyoi+ee8pgMKjRaNTEDt/fZVf2RU4WkT0+GkYQPcZ2bL9OVBxX6IfPG/TxQ7Y/HwvTlXA66XUS7R/HI9udk3uvMHXJ8WFls6R4hQrOxUrB3ilT4jhclJSMk/u94RWjsMKjYFXrgJ7BEwoW50cbXoJwcLCDt/PzUyls0sYJcG8Xu2LjcbbOdwYcZrwcDPgMublv1OMsmzmg/gwkuSxgI7UROnMyeEFGnlPfm+2b/TKgZS67jn+oajMO1Ol5zzEkAKWYpaEegvdwOKzj4+MLTwc5+LG0ggycFSeTNJ/PGx03Q8F4vFyOjCi2CTtA5G1gTZBjTvic/tL3nHPLu6pax2zYwfupSB/RQtBhP9TBwUFL/2xLp6enjWypz0wDbTJW+mb2i7n2ko6DRB4M7KCdwc/2ZaYswZrnIZM5b2I2uKB4jnLJHRkQOA0ArOu+h367bvtEmKP5fF7Xrl1r9QXdZA4NsKwz7q+TNfqCjDwmA1vrM/1zMssmbcZpAODxUq8TOMaf9kifsQUnMOPxuG7evNkCGQAnZJAJSyYmZmx9Or8TScAtY2AvK8kg4zNbzP0ch4S87NfYT2x79dwx5vTTlpN1lnHm3rl8eOeNlA3DdYUKAQgHeXh42JpcFBfnnHsOnGXYsTqoVVUrmBMUfCAnCk6wZQOwAwM0upkLK2dV+3DC3CiMoZiZcZbStZ8j6/TGYAOkvM5AwcEg6Xc7JtrNAwFNnRs4etzOSJF31frEZ7J5ByXvvXCmnmADp+CsnUDsYOblYI/ZQcOUP/12373kyTUwXrBfud/EzIUzZPeHtxn4IQeAqLNJB2n010yh5zizdQMq948+ZjadzIkzeuuGx07BjtLJM5ecq5UBMwEw92xvb9fOzk6Nx+NG3oAu226CC/rtTcxmYRivAav1zTpnObA3zrJF55ExwRU77FpytH27LjMnXtqxn8F/UJf9iHXBc4jdmGmmP3xuXWc8zNfBwUErgUOODtiWF8EY/+3+2IaREXNmgGUAhL9EJu67GTkDO+pwbLCfYyyeg7Ql603u9XOibz308r3PAkROxBDbKnNr3+V5QueHw2FjC5al9+8RG80eGqwZIPI9+o1++DP6aXmdnp62DmM1QLts2QCuK1S6EP3W1lbjvMiqDXJQFC9VOUCB+p3lOhPJzBVDTeXEyeII6ZczGteFEWOo3EOdzozos4GAwQfGgzMjGBogOfM1oDJzhJPzcqoDmI2tan1go5kujIx9Cr7XS0e0aQbL11G/l0vMwHh/EPUaDDFmgwuDQQMzAJmBpAOdgQRy8nd2xrnkyTgN2DPrc/0EU8bEd7ThQGGnn7rJb5w29SFDb0S3E0c/PZfO0D2e1CkCZAYoL/F6fjkXyw+77OzsNC//dYIF0EIH2cSdTJL13nNkffAGb+tfVfvMOXyHGQXuAbihV+wfsl66buaV4gCPPTig0WcDNsvby+tO4Kwr1j+DEic0jHl7e7tZjgK4JiBMxsaJrhkP74lz4krdXGtwaj3s99f7EXOZbT6f1+3bt5tjP5B/Ftt7MmZuxyAnAYYPdmWsToLsx/wwipe/PVf2c172MxBFv+y78KXc5wTPSQ9jRrfwaQbSthHLwvriZXZ+GK+BvfuPLnsLj9u9bNksKV6hgkKhdDs7O83nKBhgxpkpm9DtnDHg5fL8lRs7OzutA+ycIduBo0Q4BbNq9M2ZmJ/6ITPEeKmHbAfFNiig+Mkm6j09PW29nBQlx+nxmYFhVfu9ZA4Ifmeel7qoN4GLn5Dx0zxmD5iPPE07MyDk7SBF/yj0x0yl68WZJ1Dy+UAZCOxwzWrQ73SujNUyot9mAcjAuYdkwLqSeu3M2EHNY3cyYafmLDt11iybQbgDFnPHOHOJ3Jl7VbXmwEG4qi68tNuZsJk+67jH43m2M/fBimYQXNznqvaLxr2ZOO3L8k0Gxu2YObJO0F98kBkMF8aUr4eiHW9id0KR4M36wmZpzwXjY0w+E4/kzP9zjQGS9yvSH+8rRIdZ5jPIMIi0Ddk/Owm2fqXtm8U+OTmp27dvN7JmEzlgjH6ReHvbh+t2AsL99CntyX3kx8l06mlunEf/7YeRM0+tZ4EpMrihHs8DOk/b6CNysz57adB6ZeCPfJCRQScJiBk02ELmMnU1+/qwsmG4rlCxM/HeHAdvnFlOPn8TDJw5cnYXwAznms4ZZTNIqGovLVA3Su+slf1Z1McPTzg6CDmAGUDiWACY1E+7ZCDecArAsbPLIGwg4kDAGM0AOtDikGENuNfsCzJ1gMLxmAmgX1xrAEn/7JgZr50NxUs21h9n415mSjDtvtgxux7Pg1mvrjHSrjNAxm7AnfNBXdZZ9Jw+oN/saUmgYPDgfnqOPL6qah5rBzSmvlsvHKTQeS9nM1+DwfmRFiyfOAgZ8KGbZlwM1BgvtlG1fiWUwQ998rKXA4eBSTK4fJa6Z/2zzVJow3PoRCAPWiWgmc3JpRsfcOn2zWaZrU3/Q7LGuHIp2nZmFpJ2Xb+ZJj5HF/KIAs85ydFsNmvem7hcnr/o2/br+bU9Oql661vfWo8++mj1eusHhLBDrjdbTT3I4vj4uGnP7A5gYzKZNHppeXpFwCx7Mjj+DH3EDu0jksnjmtls1gKNtAuwdlKN/WWCwFza/zJ/XJ/650TYMcLkg/0B4+MeQDxyZ87M7D6sbADXFSrORqrWlDR0q7O/NDhT1VXVCjI3b96s8Xjc+bivAZsBjpfpML5Ucu53cEggxW9YoPzfQd7KzTUEWGdbXO/DLb2kQh+cfZFN2bkbLNgZU9joX7VeSnEA9346mCYHCgdSg8nlctk4FoMQB0ADii72wQDMDjvBlsE1wZgfA3qzQPQjM8YEfqmPnm8HJObJGTEypx0Dtap1VgujRtupS9mfBBR8zxKTfwjO1pUEqNZlHgmnfu+VYr6m02nrNTwOYrRL3zOY+LgVgxSDY9pxEHVSQJ+T7TUrZlaHuq3/9CsTOjMYBrOMIUERwRX5ey8kzEAmKQB0g28vg5pdMDNnH+j5dzC1/+Jz/nbQtK3wgIv9XNo2+11th8iWebVszQ5Z7lw7mUxa9pMghvYNHvhuNBo1qxnMj+3Y7CbyRWcmk0lry4p9Std+sgTk9l+McW9vrxVrYO1MKLBHq9dbH+ydOmzGHLn4iAbmxqwrY8Xv00fbpfc426+6HscF25P93GXLBnBdodIFYqrWmwsz0/DaswONH1n3Y/3OPO0k3KYBiDONdHZdrE3u0ZhOp3X//v3GgVOv91QYKFW1T0B2XQYA2UcHVjsgDNV73AhiFAd97jEFb8eAk3TAsdMAsBIwyGIBD2Z1aNuZtIN31frpMOrByOkHnyMPZ3aeU2exDv7+3wASGZn9qFqzLHwGwEQHDcpwgn5npefG80tQQx4GNp5fMxZmJgwUfWRI2hU/mbBUrQEBwcVzQRuMEZ2EoUKWt2/frs9//vPN2xKSUaEvXbpn23SfsX/mMJkRH8ZJkCTI8n0GRidFjIkAjY7RVjIgBFMnHWZyDQLcZiZhZjaQJf1x8OMa+zrkRR/4zdxa7rbnLhnaz/maruCby8u2A8a2tbXVgIzlclmTyaR1Ph9jsr+x7qetIA+PH92qqpY/M0CmTwkUnbBa55Cd/ZETDv72k95O0umvz1jkOraHMFdO6khcZrNZ9fvn22gYjxMuxz/m1PbJ59bVo6OjunfvXgvoG6ij32bmTBrQD5aik6W2z75s2QCuK1RQQB/xwOcUgoU3xZquZyM3ipVZYNXaaO2MDVJQLjseg5yqtsGirBgWAJHX01StqV0/1u6zfcySkJmalQAI0P8EVvy2zOyUMXA7dGfAOOWuPWO5XJZMEyAXx8i11OEA72zdjt7Bhz75c8+JHT6gJk+Jdt+doZkpQQb00/cYkDHPdmzU5WzSoNTyNXhN4G7nbXlZbwAQZgpsCx6v9+0lk0Vg80GQFLLvZFCQP/qTwc/La7u7u/Xkk0/W1tbWhfclWifJ5m2XyMqAz3rANdSH7A0wu5Y+DdRTdw240V/0grFxn/fu4WPMSNKemSIHI9sicrDt84BBMpeeA+uJkw3666STNqrWryUzUAckGKQaADN+s3+WpWVn8E2bCQDxLe4XMjGQZXx+Gpj5MeBA/3L/EHVYfplwGWS6b/QHH818ArSQjVc5qqp17qNfkeZE3bJkDOg7c5iA0/7ID54w/yzjWhetw7wmyO9NdAy0r85E0H/b7zJXTqDfCODabJq/QsVOrWo9kX6VBgrcdRbIcDhsbfSrWm/+9PKXlZ4fZzY2GrM5tJPAywrv97Jdu3at5YRSqdlvRsbnA06drZgGpi0HTGfbBFwMvmq96TVBqMGLx0KdjNWBw3WMRqMLp0bj8HxPglccHGCBuUlGCRDgpWAbd37G0giA3Nd5zunf9vZ2a3mB/iAfb5qvWoNkBy0Hb4pBSO7TsLPyk2TIjSw366+qVmLBuLqYKeYfW+AzgJKvM+BDHwmS1l2y3Hv37jUMBnXgsGFtLQfkSv3IwiDL4zEQ4KERMwjMoQESdWA/BCcDCL5H9gZ73stHfWnXDuLT6bQFfobDYbN/yUE0WUTmiGBpJsVAy2DAIHJnZ6cBT8jXbdqW8QdmxOwLbWPWfd70wTIU9Vr+yBZ2B9m474wTWzRocV22P7Nu6DDnpdl3pG9AD+37rJuWl5PcXCa2rLkX2dgPApLpn/XdNl61fhjKS+fWe7872HuqsHV+e88qvt8MqpNL5uLatWu1XC5rZ2en5WcYE21ZTzNxTFDI/8jJ+n2ZsmG4rlBBiW24Djp51pJpagzar09w9udlC4OoqvaeDjvoXKtGafmMe80GoOzec5FLYVVrcMD/rLVnwPIheXaafG+DyMyWPnmfCcVBBcP3UqD3WNjR8DfOoKoaQGTA5D5XtTcuZ8YJuHA2yJzShvvqMVM3QNnLFThYAjG6YRbLjsSZnOXnufXympnAZO5cB6A0M3LqNOjguq5M09dTrD+ZxXOt9+wgn0xuqMNAhvG6D/fv3290n1eG2C7srL0HxayTlw753rZMnx2AzEwaABkwdP1Nmx4D47Ld85kDioEQc8J1CTJWq1UdHx/X4eFhC4x5flPf6WtVNcdgJNOX5zsZSLAU5dPkq9bsn0Gx54lkzIAPfcCuSVyQkeVghi7ZP+YTPbNvtBwNnr0NIfXCsjPbaoac+Vgul60lfNo8OTlpsYfc7znPdu2/0SEDHORp/2aZOHYBQB1XmC/AqBNpgBn1J9Ayu+ZxeNzD4bAmk0lNJpNWvDDIpI/WTYp1xCwvfsQ64PseVjYM1xUqnlz+d6bmLAeH5GBo48t9StxnBoB7u9qzI8BQ9/f3W08DuU6CtzMa0+V21Ci8jcWGyP8otxmYZHgAGYvFonm5Mf1xVkMWXtXehOn9HxiOWap0pgZ8/E8/cQQGRna+ZjaQIXNLfx2gkAPzYObI821GABDAfV7C9VIQfc+DcZ3peYz0B51x/5yNAw7sbA0WPb92cl3gimDgPYlcQ3Zv3Vouz/fMzGaz1tEWZmqsp8nw0T/mKwHycDisxx9/vDVGigOzgSVyBSA4KNnZO2DZxi1/AxzkYfn4qAEnSL1erxmvZW3AbfYh59fjy/11TubM+FreBFwfNOriOaA/tkszcAYyW1tbtbOz0wrgtEm9yZo4MSNJ4MgJxsrT1iQptmuDNrdnX8NYqNf6ZT/A3NiPGphTX/pGy406zGI78UBO9+7dq6qqg4ODZsuHl9L43zqBLnuclpPtNWOX45aTHdsu99KmV1awDzN0CaCtx2ap7MuZb9tlAjn7QCc0TgSRh4GW7eKyZcNwXaGCI7eCM+lmGzAofns9OsFVBnEUHkdWdfHdWNQzm83q5Zdfrm984xt17969Oj4+bj12a8XFUJzVOciaBnY/7XwwGLNDXVkU7WHQg8Ggtezq7Npjz2CSzI0NyfKgPQMpHIYzQYMUOyXaYmzU4XbzTK6q9QF9yW7ggNPJ08fc75G6kg7JwDZBroFOgkXPDUsnBvzun8GWg5TlTT0EQ7fhe/r9fuvEZ48LNg9gkExTgkDGlgxO1frReIOG8XjcLGV5GcxOF5nRvpemDAYcFN1PM20OAtYnZ9oUxs8yDfuAqtasD3pkhgmb8FK4x+OHI9BFfghEq9X5q2FYDh4MBq3kLPfaWAfNhnjMBhq2KYIhtjmZTJqxuQ6Dg8XifBP13bt3G4BHnzwedBgZOwFlbgEBTtBso9YtkuKuTdbucx4cvLu722KEfJ/BGn3xgzkGo8y/X1LPfd6KgU9bLBbNUQ605eTROm8fbLBnH8s8ZnLi+IMcc/8YOpgA376Qzx9EBDjhd2KKztkn2dfZR9MfM6H2V8lYv17ZMFxXqJB52LlZefMJHJTFeyJsjAZbVe39Vkn5V62zHCv76elpHR4eVtV5xra7u9s4r2vXrrUyHDu47e3tVuZoRXY2grHaUdoBmFF6EMNDfRieM2QbhLNnZ9V8h3Hy7jY73K2trebsJs+X9x+w3yKfikHOuRxhJsf7JHxPVfeLlg0ePY+5d8+ZppeSaRs9MwA2EHdAIqB3XW9HlkDCjA/99vx7jtgXgzz5u9frNbKtqrp//37t7u62slTv79rd3W3myDL1vFM3/adfDohmfzKbZd7NLmRgcqBM9pDPHbDoM9c6aWIczry5zuyB2SAfdmz7oy72By2X6xeV28/kfFrX7F/6/X7z+hX6atCIblov0L18+MLjMdOR8jWIRcdTjwjsR0dH9eqrrzb1TyaTln/1k4aWPUCGMdiHWgYGUwYylo8BMizP2dlZ6/xCdNm+iWK7hw1KXWJfpG1qOFwfu5BAwv6s66EG9NNzbrtmTvBf3gJh381nTk6dtDO/Xdtd6HfagcEs+mp/wvfYhZd1MxGyfnu82DjtMHdpU5ctG4brChUCUxovykf2xTU4ou3t7cYAfQq295R4Kc+sjQMvDtfGe+PGjbp+/XrrvXnD4bB5+W5VtU66J+j6hGErs7MD/k/AQd9x4ozXBueCoeXhh+zLMnBKJ4Ux2lHgKFNmdlY4epyfAYgdG8VA0ZmXA61ZIebfr3sxzW2wzY/rc0AiqJK5o2tdGXMCOb535kz79CfPMHKfPd7Van3aN/Wx5wRZ4XDNdFmHaP/g4KCZC/rj/R9dgZE2CfLeo2H2zvZIXQTnZP+SPTWzSP8SuBpwIF8/JealU9sE92cx8POeJ+toslf4EjPPBlTWYc+BA6EBl30UfTVr6oNbmV/acXKEHTh4J9hLkIb923bcP7Mco9GoOW8K+0Em1mGDbnyu9dI6hb/je3TabIzBvOvCR9Fvxu9E20thuacO327Ab6CD33NdBlueX+pHnrYv7Nagw36A++kbtuxEm744maW/sGrWkUxUAMZmqJLtYkzos5MTgz0n+J7nXq/XSvRt0waJZqi7bPJBZcNwXaFiQ8bhoEx2HFXtzDYDk4Nq1dpJUZxZOIu3YVedG9UjjzxS+/v7tVwuG3ZrPp83wA7FdH8AZw4+rtP3GbTlhmU7OAzDG79pD1kZlJHhVFXrHZRdTtpLBm7X4Ix7PUd2pMwZ1wOCMWAzZ3bmebKx6zBIo88OYvQl+4UOLBbn+9oMHDMjNkjje7N21g/rGSDBGW/qLQDATtRt5x4PzzvjNiBPWRi0IDtvuE3ZpnzRQSc4/u0+ez+LwRS6bxn3er3W5uUH6R73o8eWo9kVj9dtMS/I1PPP/znutC+zxmbyDJZpEztYrVath1sc0G2XHmeyDt4/hAzNlOKzzITaH9omzdLQpp9+6/V6NZlM6vHHH2+ANuMCwKSeGqBYzzLZQEZmhxJkMEazjczP9evXm36TJHm/ppNT6wyf2x6Ru0Fwss+Z3NquPAfur/czOiGzv7V/8Vy72H7tr60n1s3T09PmHDOPyckBAI6+MUbmyPIxqO5K3r1fL/2/45ft742AraoN4LpSJbNZZ6XOwDEeL79QrJx23vP5vKGunTFUXVxScsZnY6AuGAwCS9LrZgFoj2twnF6awukZLFSt935Qj4GEs2r66WCJYUClOyOhD17Oo584fxyw54VxJUPmjMlyp38cAYHscGjIxOxIOncALlk/2ZdlYsrbGbg3djMGHmrIQFHV3mScgBKd8Fgp1hczOcwt/UIvvcRrB4b+Onh5Ts0WoLfMJXv40NVcyqaf3nhrkEqddvh2yGZZfa/13TqCLLx8jby7Sm4cRx+SJUk7sQ4yz5mUWJcNEghIJycn9eUvf7n6/X699a1vbWQE4DCgoQ7/nQHQ/yMrgx+DOvsxLx+b/TCrYhbGgDX3/9hfoQ/2fwaE1OUjK6z/Xf22bqQfcMKBP2FefJZc135X+2frG/dQRyZAVedgi0TYZ0/ZX5jttJ2iH9hqbgFAN82wWR9zBcIxA/mYVWI1hSTbPuFBSQayth/2OJCB54U4w/XeMuNYa0DmeU7b85jtEy9bNoDrihXAkRUv9404E0jnxf/j8bh5mTR1mMpFiVCYvB8ldTDD+TkY5pOSo9GodXK4s0QrLc7DdL376ezOTt3ZYwZ67nWmMp1OmzrMXJjdYr9Qv99vvfiV++g7hk9fnAUacNI/g2Qv4RokpcPzuVIZ+A30MqhYzqbOuZ4+5VKEgbWBiHWBv83yMI886cdTcHawVWt2p6paAJDgaEDNPDOfdqL9fr954bRZPa7N/WlmeJLRoj10cDQatc6PY76QVQattD3rpwNhJkpuG33gcwekXq/XsMTevMzvDF4ELtsR8iagGXxY19D1L3zhC7W9vV3PPPNMcxSLg0uCbM8LcrMcnEi4r/wYfKe+UQxeMpjDYpnps1zMWqJn2Jy/pz37QD7zkQUO/gCETLLQS+tG1z4iyw3Z0a6XEw3kfS2yod+26fTT3sfmJUTveeN39s266zm2jLz/0f+bsWP87IX1vDjO+HMDtkxCrZuOVQ9KDgG71j37SSfbThAMglmBcZ2ZiFymbADXFSoGKRhconiDJQceB/LVan2gnPdVZQDqcoKJ1lE807QYsD+vWu8fwCHmMgxKyvX8dsbizId2DBhy/Da42WzWZLpeYu0CS3YS9N3XYoCMzw4Lx5OZGGNx4DG9brbJ13tueFLIfbDjN2j0fXaunqOqau2nM4MFa5NMquej3z/fX+FXdphFZY6Z7wSSbAr2nBvsm6V19u3lCLNSXiLxZw5yVe0lCzvgrqy2K5NF7mljbgOAn7bK912g27ZMAgTz4myeBwY8vw7wbruqGuCbm8cTZCKLXM7/G3/jbzS2Y3BngGmg7ffYDYfD1hKq2Zj0L54L+wIHbieBeT865OuOjo5qNBpdYPCZQ8ZDgmR/iNzog9kqF8+p/aw/R6bIN9lV2GrrJf0wq0nS5YTIgT4BtO2K+cF+bN/IwnpfVU2sYOmQurk2AU0XgLZ/d3+d7Bj80l/Pj+Wcum//4OsNGg0O7dPoG3W5HgN05oMHGpChgShjYExmAy9TNpvmr1DBeREsU7l5VQ7G4/0fVWsKlcMu+dxn56CEifi9WR8FIvMw04Dh2djtoNk8WlUt9quqWptJvQfEbAT/YwA+ZysNnz5wAKLHgLPwciXGCSOCA+NaByGDGgMMNqBnZuzAzJgtI8ZN/+3IqMdB24xB0tk4qi4a3Q8JUMy2GLhVrfdAEOQZC4fQ4vj5IcgbuJmFcTBgnukLyxx2jsvlstlnZkBq5oPPvPTtjdPJatnZd2XKvsZsADbhDfUGrpZhVzDxcStmbQy6rOsGeAYi/J1AI4MudXms1jODc/pHwDF7t1qt6vr1660HEXwNuobMV6tVvfrqq/Xyyy+3HjaxjPgMMD4ej1tJjfvOAwPe+5kBnmKAgw8ZjUYteZlt4XrbQAJoAzsHYAN0Awt/DhvIJnxkihzzfuYKe+cYD1+TD37wHX8buNqHGGSZXXKy6DhA/QbLBkMGa8gNuzSg9xidTPj/XJmgb0kI+Me6jJ8y+4Q8DHio02DVG+1p3w+IJdOFnzLIclxIYuGNlA3gukLFgQHDA3jhtCgYRgKpqmrW8TmB2S+mxTgyk7OjQvkM1DLwOIuE6bCDoH2ud9uMESPDaRAQ7HBoE+fkYJqG7mzPgSadfFX7PYDJgDjo2VH1er3W+yHtBB1kCN5uCyeA3O38Haxx3hg+9wMmqctLBXbOHhPySuBnAECfLWv6xmtTYLcsdxyaASFLJnZOdszO4v1EkpcVDVrSMTvbxwnTX7fn4O+xM19mOm1f6Kkfy18sFnV4eNjSCYOSZMC8hOrM38vkDtwOTtYR5Mm9VdUAjGRmact7xSg85Ws52ya516AOuRisGnRjb9RtW0wbpJycnLRYLQNGgC5nqPnJ5AQqyJ/l0qpqmNJMwtBPB1aS0ap1svF6Y7AM+Mz70fz0peeO4kSIa5lXdMN6zflujHkwaL9tw3PE3/bhuUxoPTGoYUy07Xm17mZMcrLJPCZ75BjgPiCbtLm0U/qLjaeft/9C720/9qvJfHn89M8HmjqpSZBosG1b9XgfVjaA64oVjCCzLZwdSuqlPAOJqjXQIsDx2/t10vGnU+E+09AEShuCN9iaIcLhUcwkGGxUrZ9ycnZVtQ6QycAgG+obDocNk4KBJwuQyxT0zcDKhx7SZm5sZSxeinJfCSA5T2YmaNfZnsGDWQOcOo9Nm7KnXT7b3t5uZdqWMXKijQRi9N9A1Nkm4/cYcNI5xmRqsn3PjwOD66af+bcdpYudfzINfMaP9zZRl9kwB4FkyJAZgNEgh9/eD5YO347b4/BBurbzqnUG7/myHjhQmiFKUGhWMQGgAxR9tl+wvxiPx3Xr1q26ceNGK3nCRvETZmAtB7PM6LTn4uTkpAXIk+FK1sX1okeeMydwZifwIfjZPKLBtprHbeSc+8EWJ3AJYKvaT3XSD+pi7F6B8EMQZnVs3/ZN+Gwnb5affWCv12sORUWGTky84kL9/DwIYN2/f7+Oj48v+D/PXeqvQRj9tL1b7nyPrnuOOC8R2fnhJI8tdcK2YpBP/VwPi2hfhr++TNns4bpiBcM3Cs8MlCypqr2h3k+Z2YlieF7K8iPnsDF+WihZAn7YPGhHkw4IwwEk2lDopzM02vKRERjAYrGou3fv1v379+v69es1Ho8bg8LgkpEiqCaN7uDjvy03rkO2yMvLTVxjQIFT9No/wQeZOHAhW4NMjN1P7gHguH65PN/nBvuEvNAbxu0nuZJtsC6hC54P9Mfzz3VHR0eNI85gjm7mUqmDIn014DBrQJuM9fT0tHUwJLrvvVOpS8wFD47QLu0xHjOaVWsmMZlag8gcN3WaATAYNJNLHZYvgc9Azkzhg4Au9QFMLDcDTsufz3LfDPrqIJMZfwIoM6K0jf1xn9lNZMf/D2IiDT7cNyc2fEd7CTKtTwae7O3MwA+zZJBL/8wKGqykfNFL64KBq1mXHIttc2dnp/VSd9uRGWX+x99Zvn5oqGq9CsE1gBB0yvZkeTvhBxjTdwOjZCL9sm3qYmtIPtVuPUomjXlNEGZmzmAKHWeZ1jqfumRW0bLNJxhzmwk64QR6s4frW7SkUeH8q9ogxU7JYGZ7e7uVSRrkJE1KHf6bHzKAdKg4Lq5z5uN6cLZ2JM4YMXwchels2sAQjo+P69Of/nT9+3//7+s3fuM3mgCTjgrwhyHPZrMmO6ROH96K8XtJwY8om1HJIEk/cWp8bqDHmKbTabO0l0umXXNM3xzQqddB23tSLGt+872XFd13HKrn00HIGSJ/4ywB63ZgZjoMnOwETfk7U+Z+O20CuA9RBRAhXy/Dmi2g4KyRmXUcGSVY4T6DG9o3U5zB0oASObDx3UmFQZGDWcoLpscsD/PNvWY1DLSwMa6hL54jxpb25odVPNf2EdSd82lwl/4G/c5ky/JABpaFQapZkvl8fbCxWQ7bjYO6++u5QAY7Ozu1u7vbgEsHdPtagwuzVmzjSKCcOpgMDXOLPiZDncu4ngvqyaTFukKxXSILJy0GWJ5DxoQsHANok3pYqp1MJjUej2u5XDbgi/tJmPkhyZhOpy0b8xymHVZV49/pj6995ZVX6tVXX23m2Mt/yHM+nzd1GITTTwp+F3kSI7xHznHoYWUDuK5YSYrTDs6BqmqtTKbBCWzOYviO+ryR3Epow/WLblerVfMqDC93minCOaCEyaxgxARNPnOm4bV0B//79+9XVdVrr73WyMiBwgHZ8rODcbZKoAOUmOKvWr92g37RV36zqRIGxo4HuRPMcTA+WDFfKeExZbCwEzB7iQ6gE864+/1+M3+TyaSRu5dpkjmx07XOOGhxvZdZ/ZoLZ64kDQ4IbsdAAp00OEYXHIgNJpIxc11dwIlNsmkTCazRPwNhLxEyhjzE0syDdYYHOo6OjppExqd2U6fZIS9PDYfDVtCiZBZOX7p8hBOUZGZsj+jNcrl++IWxmbUx+Eg9rFo/HGF9cnvMlcGRgb3ndjabNQGSfncdJ2Mg7aMwzCaZmbO9eQwU98eydpKbSaTnxckE7fvJW/sRv6ki58tAyMDSfhpd8RPOTpgSzOKbvDph3bb83F/m276JuWA5L/XQNmX2q+uQa/rkp4O5Fvug/q5khfrYC4gP8DwgM+t1PsVLImw7tv9FN80EX7ZslhSvUDHTYKPAQeS6vZ18v99v7d1C2U1z27lwf9VFQ7Tz4Ek1zvSCTiUTpN84AL/xHSMykEvwSFBNJ4NBHRwc1N/+23+73vWud9W3fdu3NYHOQC3BlzNQAhwOwU7MBoUxe8O0n/izHGm36iI7iBx5BN1GnExU9sHLIHwGa4dz9Eu60YkuPQIwwgJk9l918VRqBxXmys7KS1Xj8bjl7LxXw8sc9BeQmYxHMkMGFn5q0XM0Go1aAYP7uT4PUzXoM2NivfBTVcyv585jTxYzGQb/vVyes62z2axpbzKZtOwOmRmAWRYGrMiP9t2OQTX/m40wyLAuWxeZEz9daps0MDCL0u+vn+4i8cNWvUyKbC1P5IsPM3Cn38iRoI1OTSaTC3pqHeqaP55orjrf72rwR7KVYwf8GUglYDBw9Ty6HvSTOfIcWyeYV/w/Y/D2AmTF/wZl6IyXJ5GnEyX6a3DN/eij6zTQ9TVeXTCrCHDPBN2fJdCkrwliYRFhzhwbDf6eeeaZlp+xnTjpMJC27+tKBj23FPyPgenDyobhukIlFZBJNytgx8hBkF1r/igGmzD9lBAGhNE4o6AOFN6gyhmuWaKqaoEmnIENNDdvYtzehMi9ycA9/fTT9Zf/8l+uxx57rPXouI2lC0yenZ3V8fFxsz/D+9PsuOw4KT47qmr9OiScrZf9DCBt2FDZBgJcY0aDsdrBMFfOKl0n7eaTbcwtJZkUz33X/hj6m5uWkZEfcOB3AiUDz6o1u5QsjT/v9XrNEgPzbibQQYP+ISsvjzhAIxfLyvqNnC17+s+4LFs+Q84GcQZy/n57e7v29vZqZ2en6Tu6m3sl0TPGsbOz07Jng3HuMVBMP+HrKGT/2LEf0GDsjMMsnpMYxse1ZkuZE8aHfLwVwPIyqzedTlvMs/Wxav3EZe6zs/4x9gT3uSzH8pft3+CRPtHHqmp8rRNTJ4owVQR/A3Hm1v2273PiRn/zyW/kZj9tX8O80n/m1MvgKTMnB8y/9cFLZ9Yp95/7nBAgB/fJfSVB4of+Mkb0wEu4FK7z3NrubVP8TZtOTpJ9o2+u23pFMajMZfOHlQ3gumLF799DUVGOBEtV5wZxcnLSAAhnhlXtfWE2MIMHMzQGVCiWnaIzFApO0KDKe4wwLpw998K+2BCzv1xrA6TYqeLAnYFhSAmQvCTo5VS37WBI/X76J5+KzMzfrAz/m6q3s6R+5jX3VDCvfO/MDFBih2KQ4KUxy9ROK4Muy9IJXgAQrofx+wkvrjfgNHDLgMq8WmftGJGpAZl13Et+Dv4OROigHXIyov5BV7yhdzweN8mNg7ptkrbdxng8rv39/To4OKjJZNJsA0A/zCQ46eo6csAgEnYu2VfrAbJFHrmctFwumw3NtG279xlRBiFm2/mxvjrxMKNh34Uc6XuytavV+ROfu7u7F0A4+usgb9bRh6DmPDox8tYJ+uJEEdaQgrw8dvripSzszYkVsnVCg754Qz99SdBstjL/dpvYRCYW9osGYD6Hi7Y8L05U+Mzte25zr7HBj5NI23YmdrSZbJlBvUGk44zZUds+47ENdCUm3pZiEIs9JQAziL1M2SwpXqFiRO7lt37//AlCDNpsjF+7g1J4qfH+/fu1v79fVWvlSIOruvguQjtS7vWTLzbEqjXgyZObHYy8dws62OAOYzHgMMCzk8uMzJkbv1mShNFyJmxwWbU+jd3jN2NQ1WY1DGIYE6+3Yayr1fpcJvrj/huAZAbOPZnBItfVak11m53kdS30DWdqsAL48zKrGQnPM+Omb8k+omt2dCz5oWNeQsGROWjQb85tc2Zu5537PrqCWVU1y9reN2f5GwQ7CRkMBs1yE98TJDx2+gYwdyDz9dTBcjyB3k/5WpcThFtPMylhfpOlsi6hr5n5+4w47CyZFBKTXLKyvriflq/rsHy5Drv29cjWD0kgz+l02vQPvUWfAETMFX5yOp1eePAn+5w6iI5bVrZP+uMDZDMRGgwGzVKfx+DftI2/TJ+NzNEhJ3UAfmSXDA02TwKGrD2GXIqnbsZhP0v/rJsGJG7XsrMNDIfD1vKnbdK+0Ekpddk2KPZ3mXBbhx0/3bdktqjfCSdg2+OgbY8XX3PZsmG4rmBxIHAANgAi03PGwb04EShwDMfLf1Xt/U9V6033Dh58jvKSZdLH7F9uaKV+G4CXBTBi72HIDMdGR+CzoTrDMHDgfvZTcS1MnDNyvwewC+BRt/+3fHAsi8X502Us4ZrtIAB6aZMCQOA6ggnZb7J+9DP7yvx6bOxLYW65FqbFe8Jg7/w+PYM65tLjRp7Mu3WLdsy6eb7NuNBGMqjMvTdjewnPum/d9LxkYOc7PjMY9XKZHbFtDb1EtvxvMGkGJgO4wZHZWdrDvpGDNzhnMTPT9VQqbTkQJqto9s99NrjF9rxU5vqtQ8jZoM/9SeBjtpUf3+d+O0k0QOn1es0+VusivihtySCCfjKXXgL1ZnD6nUmhfUECJc8ncscf5fyhMzzhamBqvaYd+pV70iiAzvRV2JCTHM+320O2zG9eY9aJ/mCPxBTrPzJN0OQHI+wHDHYAkyYL+B5fRbEPYG4TOHadu0bccNLouXb77Cu7bNkAritanBXaeKvaTgwnYsPwPguCIcZb1V6PdtZDMMAp2VHZ2TjzNWVdtXYes9msZeQZ6KvaB8bZ6fhaGxBt8qTLcrlsMiczAMjFsnJASYN2luv2zaowDoMNsxgOUPnuQOSasudzL395zxx/O8CtVqs6Ojpq9Yk+J/NAgLKDtQNDpgnsPT4HacCYAxEABB31UqT3yTloMyaDReuCQbkDO0mDx5egycUgxMHOwIV6Df7NYDgZSRDH2K2jTmqs93xmNpDP2IztozOskx5rMqr+zgHKuk0/vVSWDAd1I5vM7Am4Dkr8Nqh2UmV2yLbgVzzx+WQyaZbVzFoYPFmWBoaed9uTgZJ1y3NrX+Hla8vF+u/kdrlcNnMG6HEwd1KJL0YGTgqtV05erccGJSSNXeyr2VkvhXm8LEGb+TLrQ5+83w/ZOeGlr5YJ12XS42tsf05Uzcp5DvEFyBh9s9+0zSEn+0x0yAAd/cwkyvGQBIbvHOs8r5ctG8B1hYqNrwsgOCPI5S8vQVatlcGG58BqurWqnXk6gJqJMGhYLBats2cIWnbsDmIO3v6fvxmT780sm3v9JJMd4+s5sNz8v1yuz+oi+2Fs1OcszPQ37VRVi92gfv/vdp2JGeB4nuizWUDklHuhHGCZYwfXXArge+tTjstgl76ZhTLTgF5YT5NxM3hCDslUGPSZqcvAQ38dQJkn6+JyuWzOAbI8qJs9S/TFWasfGXc/HHgMHjOoYEuu3/PjoMBvAwsfQpr3mUGybDLAe6wGK/S9qjpf20WgcUKCXJw0ZP9tf1xjxqRqvS/QTzlTWBa07STbi/1bn21fZj2dOCQrZECbwBZ2yL7Fum2Gx8v6fI6fSAbP40idZgwAf3TB4NO+z0yjQavBaPpC5JD7OW33ji/0tytBsu8yALWeY0OeF+se47F9GuDYJy6Xy4aFT8aYa+kHMkCWjN0MOIkK/tYsqhM8r4LwP3NlkEpCd9myAVxXqNgYzVpVtZ08xgQj4uweJRgMBg3TYmqUdgy4bBx2tGmENi4DKzuEPI+Fevnt6+mDDxxNoORAR5300yDJVD3Znx1J1mUHRJ+dkdpJGOw4MNqAuwJOAlz+90nMBrcOnDgbMz84hJRvPmZumt+Bz86TsWUQ8OGsZvcsG+rAUTJmM0PZngM5dRiYVK33TtA2ugogJlgbrCXjYOAOEPNyDtdYRl42MKPV6/Vae/K4108aWg8SsFjn6CfsgoODbRHQ5yV1Z+B+UjKTBeROn6jX85EMFH0geBH0rRfohp8GpRiYGKT60FfaTobRyQjF4Nt26CVnz43HkTZFHcl60b73o9l2E9QxBwavJCL4G8aRfjbBvrd2pD/D7qzTOQfWKSebXQwcvho/gg25XsvObDXXcD9zajCML2P7AbrhfYa07cQ/y2KxaJ5AtW8zs5hjc/JqQM2c4pP9RGS++SMTIiczlh9jqlozqPhDM2aXKZtN81eoJA1LMDMtb+XKzZzOQK1sKKedFwpmkOO/nTFZOe3sHZxR6uVy2dq4Tb1ZzA44YFdV65FtZ452YF1B3fKZz8+PwuDJMj5no7kzRgrG4ydFYU4Yh2VgKpusiescfHDOZmhcXy7PAlCQq9tz9mpAaXbSY3PWu1yuX5xLEHAW7/rNqMzn8+bcLfSCOhiHl0gM8sz8cB364c27LFNzv1lZdI/9UtTrLN9AzjrqsRsI0Zbb8Xk7fIfM0MlkBJ15G6DZ3ii93vrsJAdR272X9hlbMpsJLJypG2DhAwAT1l8DDAMF2BMHHj+cAWAwy+LEx4DOARy9cX+xCwdUz511K5l6xpksDnL2PWZE/bAOugZDj90yFrO1bpc5qaoWSLOu2+49twavXiZz4mFmxQ9c2JcbFOR2BYB9MlTp5ynMB78BJsjEbCTzzrh8WrsBIHJLv8jYbX9mbP1EJNdmbKP/XhpHt+w/kn0zOPMbFezHulh2+2knQd4vetmyAVxXqID0TTE7o6laZwwOkGY4DHjynVooh5eBTI86A7Yi2RGarfLnSaXjgMw+2GjsgFFqP4YLiKla7885Pj6ul156qV566aV66qmn6sknn2wBBBvJl7/85frf//t/11/5K3+lnn766YYiNuCwodNvg1QH8gzOOByDHQdGgy0HWGfOZurcB5xoLsPRlllGnAzXWEecifoJO7MtODmCrEGc+wxQyGWYXq9Xh4eHDTPioGfQ4rnx+9QonMh+48aNZq6QO7rmJQT0nr+9JOEgiJwIkk40HDjt+LuCYM6hdZW6eErV8+Og73pzc6+BC3UilwwC1iODMAei9BnWU3/u9m1r/s5jMsikL7Ynxmz7pm77Df+dezkZt8dCfQQ6g5cM1jAQTiAcNLseWPHSaT6daZbayRM2ZLkhV7P5PLWLnXqf42QyaZYyDcI8l13JZFW1HmwxuGefZQJqkgb8vkER84qPtF0xFkCfEzYniOkz0B3rl3XWek2Sm4DSfbW/TrbW9zohtTwZW9U6QbdsqTOXzpNhy77btz6sbJYUr1AxQEmq1E8feX9PVZvyfhDNbGfE9xivg1VV++wmLwu4X7TLbwBi1UWn/aDMLMEJQZQ6DWp6vV7NZrP6zd/8zfrEJz5Rv/Zrv9Z6IikdvAEYNLCDAeNDBs7kkLOXJnlFDkA2XzBuR4Mccs+bWT8HSRsy7drBWA4OPKa2PR/oAU8gsQRq5wUIcLaK82D8ySJY95hfnsicTqct0OjM2vPgbNNsmM8hcqaJbBykvGQxnU5br6GxI14s1k/tVZ0HqC7mjDoNmJ3MWN85SNjyMRjO+TIQwPkz/pOTk9aZcDwdmksp1jPPtRMtdNmZvAGKWRoDHLM2CewAi9735HPz7GtsX8n6ID+DBeq3jJKBRPbom4HPcDhs9uJRD/ckiHYwRg5ui7Ewb152zGsdzL2U6LqdBPE9c2Gg6GVX+pvArQtoezkrWSXkBFDDzvBXzCcveLZ9Wicy6bQtGmxRJ/cheyfu7j/2Z3/H2D1eAz/8Lm0mgDYYcmLm5dPUIY/PdpN6YbBvQGl/m/J7vbJhuK5QcTZspcyJdiD08p0dLcXn1iQFj9INh8MLDAjtOkh0MTjOFJMloZ9d9dhYcMR+EIBx2nFsb2/X9evXq6rq+vXrLedWtXbw/X6/3vrWt9bTTz/dgC2+d7bjJZmq9R4iHCnX57lF9M3Ax/LwJsoHZf0Gw54zrsMx+nM7A9/voMwcoxvMi8EvOkG7ZvsosEHIwWNDZgRzDqasqpauEby8rER9uQ9rNBq1Ntt2nerOYZYO0oeHhzUej2tnZ6eZFwfadKaePzt7fns5lsyb65FBslM493xaeLU6ZwbzbLRcjrL9miVMFsfj43oHX9pNfTMT6qUjBx0DNzNgjMtLc8jGJ6E7ueh6NQ6yt79xgmkQbztGHmzy9zIddVm/uId+UDeMl/tpv2ogYPZnuVzWZDJpASFsxUmaWT/rBkDHOoMOoF/JptnmzCqbZXL7BopeKegCTAZk2LhjC3Pi/ynUk0yRgZxXRnq9XnO+oZMYfKKZufRpMHJO1swsEjP8kmw/Ge/f+Ir0Zwmoulgs6zG/kZdj6WXLBnBdocIykKnTqvaLMqvaLwr2vhqyY5wkjqLq4sFxGCYG7rOUqN9B2nS3DYw6oNcdJE2HY2B2chhjVXsfgdkUG+nu7m59//d/f33Xd31X3bx5s/XqE+SSGTttw8AZlDobxol0BS6YEm8czwyYYmfjYOLlLOoyiOKNAbu7uxeYA2TvPX3oC58zBu4z9c9nZNjIxLrAvcwxziSXOJIhRa4Gy/w4yNMng4Dce+LAZBC4vb3dAB8DBUAYzp/N5ryzMPXdDtUsDPd6vqvWZ3aZMWCuHsQyVFULlMLc+TBMkgczJW7TQYgx2Rdgn1xju3LgANgYYNnWnKy4/+iJn5TzfJoJQ1cA8txnP0Ld6IfBlv2c218sFs2p/BTa8cb9BPOZ9HlfqJNDA0zrKHZF39ALJwjsQ/TTrl365mTOc5T2Y72xTVDnaDRqLS07ITZAtG1Yf83u2IYNaJlz+zf+Rm6OF3k0RNX6Haanp6fN3lfqMGCFyWOpFeCMj0TW+Gfs0n7IuoDtIFf7kJQ7tuT6nLD4QQqTAdTt+XRid9myAVxXqFiZ7AyZ+DTQqjXzYUNBSTAuK4cNxe3y26xL1dox2RgozlTJIqouLhs6q3HbufbusVe1j1TA2A8ODurg4KC5H6DH9Q5E9C/ZKLdBAGVsduDJLlWtN3ennJgngwHvtXOwg6mh/V6v19qMbBqd+wlk9It58FNvOBgfkWCGgWtwZAbQ1OnlLObUjsaO3UsvgAoHUOYtwT6/u1g9B0L6QN/8NgD6SIaL47XD5TrG6FevoB+vx8SwSZ8xIzPfY7vEFiaTSetFziztmuVCRxiH+2DA6uUxdNVMWto8SZeBGJugk1X1hn8DcwChQaXrMxuNTdj2zJyZGbQd8Nsvu7fv6PfXL7L2MqYZKew4gYZt0ixKF7NHn6yLBt72HdSHbaKzBiXIh/4CKrg3k2VsENBGe+4r9m8fww9+y69Ns64zz5a7Y0v6bMvY16FD9l1VF/cHOj4YqMJG2X/gGwxozBw5eXYsYxzoAOOHTaYPnifvh7aedCWnXsnhu0ysPc43UjaA6woVP5KNIljpfIqwQQ6KwhLS/8femwdJdtV3vr9cqiqztt7V6pZaC0K7EBJgQAIzw/JsLBZ7bA/YTIzHG5jwA8LIxpgw2DEOB3h4MeDxsx/YzDAvHA8/MwZsjW0QIMYwoAE5WLVgCdRoAUndLam7a8vMWjLz/VF8bn7ur25LpYJ50RPUiaioqsx7z/I7v+X7+55zz7XhRpT3Q3FeFkrl7MGsTAZ1EaPHgu0kUEjawWBy/51BZuDlYudFnTAFXkLJIDJT4xHlJ1zcX4M/gAz3eUkMYGKmjIwws1fuu8fK9X50n3HZmD1mLyPgtO3EGRuO1ePOy2IGdj62gfmMGAU/y4lAbdaBa+20vfTGOA3+ncH6Hi8/OGh6iYK+ZkeJrNGFXq9XfAYj5D5ab3JywjW+x/32EQ212ugpQ+s8bVvXDGIdAJkfL/E4UDoQZeDNXDujd7bv4GUbNtPjYMr91AGj5dPWXaxPBuIeA7KxzBiLmTy3aZ/m75kj+ycnQ8yTkxzrsP0AfgL5Usys5ECfbR7d9XwhF4MyX+MHYuxHsQn7W1/nxM8b0rkH23DS6cQZ3+XkzDpDsa8yGLTd2VbNwJrd5P8MnCl+wjgnVI5ltMcYzLjzRGRmnpB5PpIoxyDrktkty9d9zb7cS7AU++3NlO1N86dRQckjyo9Yo4x2eAZUOXATKJzZkSWhaPyOKB9aCGij4PTZ24QRAggGg/LZQBSu4x4HsYgRO5UDTjYkf+/3AWaHTLA1e4CzcRA1I2fWhjNqkIMzeDJRgydk4DHlNiNGG2PpV6fTKRgPxkodAD9k6WBtmWbQY6N3sKBu5iE7dQfL7GQNaBy4GY8DjsfAHFL8FJfl1mg0Si/CZs742xui6/XyoZAOumaS7AiRjXUlt4kOe9xmO5C5s3frV87QvazqRMTMmtkT7y+kDYNcsxPMs8GF23QikoO/x+Pv8QvMG0kZ8vGWgSyTKqDIdwacjM8MpFk89MlyzGN1e9iw9zdWMYXIl5LZPa5DV6jHwMhgsN/vl/rq+cxADZnh4xzgGWe2KydTTpSdGNjnGpxbFxmrwbyTHvfZ7J+3ntjfeCmV2MB9xASzZ8wFemF20vrjxMOMFNdXxSHbIPXl5VHri3XbuoMskYkBMvK0ztNP6wH2x0M0my3bgOs0KlaaiBGj5OW8bHxmLghqZKcomQ3LmTjG4rrs4HM7dlA4FDMGzlQjygDSTsX35SCfs2aMkfE543SAtXwiymyhjR05UH9+EgpnfaqsyHuxzBQ6m/IeE2f41MX9FAfLHAxwCDkAeY7djulvL1GiBwbd6BzFYMrAz07fh00aJOEsuSeDn7wUQLD3xlgzUS7D4ehRfQN8t+1lXu5xADWjy2cOaA4aBiwOZgbjLv4/A728h5K5yXZByQyBbcvLmdZJdM4MDP1lGRY/Yt2wHWVbB2zhExyU6J/3S+UEy/btTdMGXTAY1GewbjlkEAeTYdbaoIYlUSeUtmUndnkpFD+AXOxTbN+2ZQN67kNH+d4H5E5OThYyMYNj1s7L4mb3sr5ZtwaDQbGsT908iGKQwXj91O7a2tqGM7XM0hoo5uLY4kTDNmB9Z8sDOsyStEFjTvzsQ+0b+dzL3Nh5ZuJNUFCcLDqBcNven+c5yUvZmynbgOs0KxgqivtYG0TtvK1EDhgZRFD4LGJ0nosNHwX1Jn6cp7M80+JmDXKAxxHkQINhm0mjbQdBOyizNc5glpeXS09bNhrl/VIZIGU5Wm52NhhVZm/oP9+ZWs/OHuOEpTOozUylN8Ub0Gaa39+5LcbOPYCUDDwzUAS806csJwNhAxeDQhy8A6Wvcx/oc9a5iCjqYb68lFIF4vnfumgglZe+qgKpHTd9t7zoV8Ro7xGf0zcDPjMZ1nGYNo8v/6BH6AnJhpdmbftux6yiGQrrtVlK5t6MlIO1QbDnsF4fsa8Aces9Y3Ugts05wPkegwzPnf9GNiz/0Pe8pInuGcBZRjmRZC6xYScRXlr0nHsMBrvMi4G3wbuTJIOWWm10LpXtwgmF+4nesemefvd6vdKWk36/v+EoCOqdmZmJ2dnZwob4PF9nu/L37n8Gzcwlc+f3EyIT66GTOsvOS6kmCpzw2Z5tW7Rh5uxUPh2ZOSnjukajUTxR7XnbbNnSHq53vOMdsX///vjFX/zF0ufvf//74+GHH443v/nNW6n2B77YuEwbZ9oaJ0FwyJtYI8pPuFkx6vXRnhccIPtS7AxgFFAyOwIfZkf2a9Bgx+VNv+wrwEHkgImB5qUHCjQ0/UdmyAhj4rOcNSETDNP7HjJg5SkaU+T+HnDizJo+2vl6mcbvgHSmmQEOMrXDdnYK8HRfGLP3WBiwImv2JNE/nIkZJAcCA34nAjlgOkPnXvrsLBkHiQO0PGjH+50MirwcnJlVbGRtbf0NA9PT00W/kCuF6x30DJSsqz5rib4byPT75YcUrBOWJ3qXZYdc3bZlx/i8z8gBncDgpIz5z0GcAqj2uXt+Ypdx5zppD521fzIzjowZIzZE/710bD00mEBm2CK6YDulXcZgv0G9BnPUjwytt1xjsEEfAbrosf2ftxUAzkhAkCd+xuAot287yaVWqxVnDrIJ3/UzJ+zPRca0y1jMpjUajQ1JQwa+BpaOR1mnmL/MbgKeaB+bt10iH4rHX7US4FhhmzRB4aV6j8t7+JxgZVnTluMY8o0og2b7x82ULTFcf/qnfxqXXHLJhs8vv/zyeO9737uVKrdLjNbPmVg7UjuLiPW14xMnTsTS0lJpKQqaPu+zAVh5kzWG4iDvIIdC93q9WFhYKK1tc7+BgdkF6nWW4OzWgQPwYieHo7Xhcx8Ow0GEMXuTKr/t6GycOKbcx2azWWxUR+Y5UAwG5U2cDqTOzsnC/CSk5WBn5ozcQADHSDAnA8PBO2M0nV/FjrF/zMEtO2MCl8Eo40G+Bo3cQ9A7FeuGLJwdZ5bJ/5sRop/85vq8R7DRaES73S76jh1RT2Y2qMdA0CwAMrG+Zoeez7AzYHO//bYDA27bkdu0DvsYCYMabNbbDWiL/nhjuIFiZugsQyd3g8GgCPjYmkF/v9+PkydPxtLSUim4InvbhVki5GDbZFzoivvlQ2wNrCwb7+2yT/I9BjyWo9l7+wPmE9BsffAYmUPuZZnO+28zA0xSODc3V/gC5Avwpu/oWaPRKJJOJ2HMdwZOTgKy/lnWnU4nOp1O6V7GlffC4oOyDXlsJNzZ9xugMFYAG7LLvtbL0bRl8ObvHSeckHmecqLsmEgxeKRPrBRQV/YFj1e2BLiOHDkSBw4c2PD5vn374qGHHtpKldslRkEHY/L+Dzstfubm5mJhYaFwMA7IOJ+IKDmOKqdONmQqlr0qDlb0kTojyqeHk/l5uWswGBRZjg3C95GZYKDOBq3ctJdf/WIAQNaCoTnIwU5EbKS5aSdi9FiwAajnwO3aqKnXyx4GhQDqqrE5wHmPUkSUmDvmwEAvMxlmxnAQ6AabPO1E2btlGeLw/NQXYMPgw+wH8nTWzxgymKS/ZiH5jiWFvHwGoOt2uyWZ0mdeJMzv7PgNNPwdMnUwQg+wDUoGYHbiBhPeOM01gDmWBx1cs2PPdmqbs85mVgZgAntl8OTEjLnMGb/1y3MDw4jcnAgtLi6WQEUOWmxZoF36mnXHiYvngz75KVvvWcugn3uxY3TeyY79JH4l7+eiAHDM0GTgSz2Wo/XTcqU9z1m32y3G5Sd9+T01NVXa+mG5OUGiT/bb9k++xv6MPjUajcKPe3wei9+EQT2OHU7MbQNOoszQY2sZdDtm2L9l+VG3bddJkBP3nBA73mTf5P4gU9sr1zp5fbyyJcB16NChuPnmmzd8fvPNN8fBgwe3UuV2iSiBEwdNnKONudFoxOzsbLEB00EuB2JKFWPmrA8H64DLNQQxX4/zM7XvzynemBgRJUePY/fmWYMU32cnQP/yMgX9ZTwR5fNYnMXY2AieZLMGUA50GSDZ2Xr/kxkMgxOPwf3lfztPOzRnYiy5OeN0sRN1sDcosvM3eDOwZJ59zhlyzUdGALRcZwYlzAX3GBA7A2esgFODKhx+lpsTCMuBNh24uW5iYqJYorE+op/0rdPpbMjKrZsGttZ1BwD3x3pFewb1/m0AbL1GR/r9frHpmHsAndY5mG+zBNzja5lnJzToEffRD29nmJycLHTAAZWx5sTI3znRchsGnxEbX3fmZR9fT9tmHww88a3WRzMxBpNOXO2Xc0Ji9habqdfrxcZ0l8Fg9OAHjOzevXtLT+LSvv0irGkO9OgZSUpmbqxrjMOyRi74NxheP2hCH+xXcuJIe81ms7Bd+wTadh3N5uhwXtfnJwGzL3Nc5O+8l5g46v2HjNVvAmm1WhtAlGMo8jMrlv2ZAfbjlS3t4Xr1q18dv/Zrvxarq6vxghe8ICIiPvWpT8Vv/uZvxq//+q9vpcrtElFycmR/3jzoYD42NhZ79+4tOeScifA3CoJTqELqdjReKkDxCErZ+WWFNyjxidzOuCPKryjJWYez1ojy8pidkfvlfU/U6fV199XZDPIjUPpEeS+z5v45szRQsvF5o7dBkZ2/x5/laWfJcoaXkHDcXspgbihmEVZXV0vvhMzLLVxrut59429nra6H4ITOGtx6TnLQNuNkdtKMBfI1M0edzrA9Fw4k7k/WmccqtgeYWA5YzGyC5WQ7yQHC9RIAqlgDz7/3MaELZiasm7kO/zjBMHipArv2IQ40nsOxsbGYnZ0t+m6wBhCcnp4uAjmgwCCbMdm/mQG0D2BfUhWbFlFeRvT+1ZyU0I6DqcGK2Sd0xH3LiZP3aVH8wMLq6mp0u92YmZkp+pmTm6qtILYB+mEGlH7lRDX7T9uz58/Xerz0zfbh8eWEjT5VHWNiO/Gqi9krX4POZf/nuOixkkx5mQ8dcBvoGSsG7r+3JmSCwPPV6/VKemMfupmyJcD1pje9KR599NH41V/91SKQtlqtePOb3xxvectbtlLldvluYQLJWux4spPwpkij7tXV1WJztJc8UGIUBeMwPR1R3gcQMcp4+dyKmgOyTz43SPCmaWczGDZ9NaDKwdqGnQ3agdX1IQ+utZFgjN5vw/VemogoL+NVUch2knak9IH+MP5T3ZuXgAjSsJ/e+GnHY9bLc0dbOHMvoVUBSWRMcLNjZjwZ1Fh30bscCPOSjbNnz7fBS67fGW3+QW/pqwO6D+xlaRV992GMdswEugx8yOAdtPJ+E+aH68bGxgpQRfsOrugF92ZWMiI2sFDtdrs48sF9N9PCWHJWbjlaV3OAdoDMQNFzZjlgS2Zw0BXYRO8jdbC3zG2rtl3PT2Zqc13WnwyscsKTfYYflqCgMwa1viaDBOqp1WrFS96np6dLCS424CW3DGoMuj1v+Ff3BcDg+bfM3Hb+zMkbdXue8yqBdcL2MByODmvGR2U98oMmzB3/55UYb3exDtImts09eUsLc5KBKbZMH7jG/sHzSnyjZPZuM2VLgKtWq8W/+3f/Lt72trfFP/3TP0W73Y4LL7ywEOJ22XpxtmcFtyI6mzbNTQaAgjsg2wmgQARHHGV23LRrZonMlbn202be45EzKX/mTDUiSn2nbbMyZKkR5UfEIzaCFY6GIKgsLCxEr9eLqamp4ogIxslZPbRhhs7yd7aZmRbXR38cvCJiA4vjOWGe1tbWivnIzBjyBxzWaqO9YBkQGogyd3m5OaK8rwE5dLvdEsjEsVlWDmJ+ci5nku4PP8gHmfC/QZL7TNsGrtZHwIyXWdAD+sGSRZ5P78ehP54fX2+78Rzj9D2ubI/MbQ4YBgC0XwUYc5bvQOQ6kY1ZoWzv9MXzhSxykkWAzQwT8+rgz1iwIT/RZzCL3SMzPoP5Yk6dnPFZDqxOOtwv14HcxsfHi31c1m37T4rtJyJKjDe+wnucvCSWgbqTk0ajEfv27SsFaeSP7/UTl9a1DIQtQ8uaebUOOhHwpnT7J/TCQNR7sfDvzK99vJOMzPIbMKOfyNznheV7iUckRPYj6LH1G9kYWNkuuBY7IKG2broP+F/mHn13YUzM72bL93QO15EjR+L48eNxwQUXxMTExBNGe9tlY3Fmn+VplE7wxwlA32PwPFVTFYh5RVAGbA7sDloR5aURBxqM0/Q99WRD5Xo7HBuR91w4y83sD86M8fqcFpg/DKjT6cQjjzxSMEDO3g1q7AzcnuXHmHJWjbPjGteF8drR8rf3sBlQRESxD8cg13sPXDx3fnAhYvRUIXPkdiNGwMfBmnlgLGS6WQ7euOrgTV3WX+aFwGLW1KCcvRf8Ru9hTayTzHHE+lO7DtAem3WR9pwRU+iHARz3OrBknc5BHHnSTrPZLNjJqiMvkIkBrXUGe7Z8vGzmgGRQRtu0QZ0OtgRixmFgTzs5SUBP3D8/vWf7ta2zrMg4rL9eovb82Tdk1oH+2KdkJp1gybiYGyeyBhfWY54OzkyQwRptoqPMSe6XgaHHYLCbmX/7FIAW9WfWyP4V+WMvmZVCT6oSM+uL9cf6SV+ZG+95pRiQ2ac4Ic0MHrLI9uAx22cz1/ZhHoNtxEnU3NxcAfhy0urxVcVDJ1aZYd1M2RLgevTRR+OFL3xhXHTRRXHdddcVTyb+0i/90vYeru+hMPkYkk8nRlkoed09OyI7E663YhnoYLw58/F1/G3gBgDwU4N+esiZKPXhODudTikroa82XLIuOyMUn3OjCEawPj5bKCJiZmYm9u/fH1NTUxscrtkC+kp//HnOsLKzNvPEOB2E6Y8zTuTmQGJA1ev1igzLTs1sB2Pxk48UOwbGwKGr9Je+M652u12My2NwFmedoF4Dxiw7dNHBGL3ODA4sGu0RzM3QUaedOUt1WXdoz3PqoOllIwNS79kiI6a/tieDberOMjPQNjtjlgy7cL89x17upq0sEwJyDmo5QTOD6zq5z3Xa1h2sGT+/h8PRVgLrtnXLYM+JRESU2FNswvaZfdypQK99JG35WmzJc8RvM4yWA2DMAMO+wnOTx5tfzG2dxn8aoFJ/v9+P5eXlUl1mEdF5+wMnjvTZdoTumkFk/sxsraysFE9k0i+DRNtQ1kODPYMUJ2y0bebMyXWjMdpjZRu27rlv9MUPPVin0Td/Nz09XdIFP/Dl9qyH+AvadMy0bB6vbAlwvfGNb4yxsbG4//77Y3Jysvj8la98Zdx4441bqXK7RDnwR5Tfe2YghaJw3lC73d4APjCuXJzV8ENbvBrIzhEngsNxsHDActbjz6qySQc7+sRvO38Hn7zRMztNB1UvkzabzZiamirq9onYzj7t2GiPc8scHN32yspKzM/PF+yK5ycHPgc89nN4WcvB0EtQBtleNjBLYoPP8q7VaoXzRsfQD4MZAwHaYL5hVXBgg8GgGLP1LYMV5JHnzQ7c+l3lSB30/bomzzXjsz4TbMiEM2Pr75FlBo3ub16OMuPrYI5M+Tti9DJ52vASp/fVoTMASdsA8oUlY04M8pCHS5a/X9+ETRgoZVuwzZqVoHipxSyV20eGZpoym8cYLZOc4Nk2aYOjEgxsbIfIxP7OQRMZYqt++ta6mJk+66+ZV7NeliPfec9Q3mrA8hng2fqFzBkL5+lVMWHYqp9WJWY4aY2I0vx63E6wOW/QOmHfiZxcL/HHoD9/nxNE+x/64G0F+HMv1TpRB6yZiEC2Bu8TExMlgI1u5uQA2TKnHFydfeoTKVvaw/WJT3wiPv7xj8fZZ59d+vzCCy+M++67bytVbpeIDVl6v19+JxjGyho0hg4TkhkDjMzZjrM+HLdZG5Z9KDZCAgZLkqurq9FqtUoO0w5+MBjEQw89VLw2Iu/dcBCPKAc3xksmiNHYoUVEcSCjARisBNdhJDY8L4dFlE+s5/pWq1XKWinUAwDAyC1fA0GP0aAEWZtdcNZl4JYZBfrsjNVZJ4AWx+FAAQhhHMw79QN+yNBdj5k1MwTcZ4fuYOmAbvDi7NrzaCYH/XcmbQCJjRiA0LbBBWMwmPR8uR/IwMDXSYf13cWfW0ctR7MlWS/NTGEf1OdlIPSHp6Yy+MIGnCRl2Zo5ynJAR8zqGZwYcDoxoG6CkwGH98ZUJVnWAbP8nnvk57nlx7bQbDaj1+tVJooGmBlwZZuxjXK9QVne40N9HrNBRK/XK66xvdA/s8XUDxjIG88prs+sEg8p4A9oy288GAwG0Wq1YjAYlF4Yjy5m3cKO7G/tjwzUnMQ4aSbh9lwCXJGZ7Yf+G8i7b+iB7Qlds+7bBpAD80J7fnKZdtFXn4dovXK/Hq9sieFaWloqMVuU48ePb2+c/x6KUTgKZLBE5pNZJCuXKXaMyvQpn5tRcebpIEKWYhDnDaxsRnU/DNYcxCJGgNJBA2NzRugMz4EnB3sbDM7CwMXXIxcfOmkGxQ7bTpNx4BC8xIlD9lNwtJdBgUGH+5I3pzr4ee4N5vihTQcPxu2zeXgU3XPhec6MhYGNl3KdSXMvS7sOmPxtlga5Iyv+t54TVPzwBboJ0Kd/1mXvVfEyRET5RbMGwYzVMjPD5CBC4pMZVGfQ2eYoBqrZ6ZsVpd3MXOU5x9bX1tai2+2WwEQGxdTLvDkQAnzMFtqnMN+1Wq1gBDxGA01ka1lYb5z4eY+QkyLaNgtVtafTgd7gMjOOBEgzUbb5DJh9intmWny/N1ybGWKcBms5CfNSoMfgTfbI2DaWdRP5AMAYl3XKqw++F7u0PrCyYXbN+x8NZHjC1ECSNuwHsJN8jRNivqM+fgzAkLEZT+u29YIk0cAcEGVboH2DcGTFbwM+6vF2mdyHzZYtAa4f/uEfjj//8z8v/ke53vnOd8bzn//8rVS5XaJ8ZgiK5GwJZ8fnplZRAj994WyVoIEjtNOI2Lj/BIfnpb+I8h4d6skOxJnv2WefXeyfMqioypYYJ2OiTvpnVsmZ18LCQjz44INx3333xfHjxwtDdZZ8KidnkJkdrZ2aN20iTzNXDposITGmDLbYa8N82YC9L8DBi/57OQUH6utgZbxBHhbQDgcd8bkyZl/MDHp8tMNv98FjtM7SJy8JMI/O6tFZ99XAmQDq6zyXEeVg5YBkx+2kJDtzg1vXZ/00wwD48VIaS/y2VfcZOzcrbUDLWAw2+/31p0hZijbA8fISiUfVcQHUjcyQE98ZkKCbma3Iy3Ku34nS6upqdDqdWFpaKq5lvrkmLxHbBuk7YyPYW+8N9AwKPC7vkbNuuD/4sSpm1hv30Qf7R8+7A38VmOZv6rQ+M0a/ezADGd9rvahKDtFNH8hrn0TdsDbMibdbUC+202w2i32gri+zjTnpo1/YowF8BivEBOJOq9Uqydh12j8ZmCODXq9XPFXqWOU4hW7Tj/xgTwbC2KVt64kAri0tKb7zne+MF77whfHFL34xVlZW4jd/8zfjjjvuiOPHj1eeQL9dNlecAZj65XNoemeJVhwHKzsWPltcXCzqq2IxvBbO92YhfMaWswtnV2auzN44A6ffEeVDP3EofG6HaBCGI+Hvo0ePxl//9V/H0aNH40d+5Efi2muvLTGwjAujo07YKdpk6RKZsrE8y9yvCaLPdmb031kqn3mDMAGAsRmMZvCd68lsE3IlE6PPLDdbBrSxsrJSLJsa4OAcq+bIbIIzWQeCiDJAA2Aiawf+vMRhUJ7PHbI8MqC1LL2fzLpmZjfLkja8wdYBxUtm1vtGoxHdbrfoqxkolnSYD+onEzdgr2IrMlPn5RfYAGRKf71UAwBnvLRp3bIM+c6gncDn5R7Pge0Z3XLAX15ejlarVXofqOXhJV/7EAPTiHIi6cTCc+FkMC8bOmExWDHLZZ124HZgpr8+Rsc2zN+ZBcReLSeDFtsf8x0RxWve8L/WD+SC3Kjf+uv+uS0nAtY/6vIY8rW+H7m5fttalqntwf4F9jMvTXOtgbnlZ3+ZEwz8tK+nX54/+p31y7aRkwvLy+0+XtkSw3XFFVfEN77xjXjuc58bP/7jPx5LS0vxkz/5k/GVr3wlLrjggq1UuV1iI/gw4MgZ+qkyFiNyruX9bQ5KtMdvZ4MAA5A+Ck3GgHE4a3Egqso6MujC8aDgbPC0o/ASYXZGPJkWsf4ut6NHj0ZExL333lu6h8Drw0/tgAgs1OnA5jnJmRB9y0/AUL+BTJUT90ZbP8VjJoIfL4fBOtJXB6u8x4N5yhup7YSsawbgBt7MJc6K/gG0rG/WB8bnQp/QB64nE+V6L7Pa4VoHfJaYmSfLOQNAjys7cBy0nb6Dt5nlDHJJAmCYIqI4qqUKWMEsuB73mfPjAM6M28sjzDXgy688smzpm9vIQdVyg6HC7h2Q/CQwS5J5uYvxT09Px549e6JerxevUPFSkq9l3BlAZPCLr/D/WXfpk4GC7W04HG44noO+503zZmgtc8bhA4eZK++ptO2RgGY/Sfve+sHY0JPM/HlVAB/npIV6mEP6lllMgyX0Z2JiorT9gzlxzGHerDfI0rHAfsZ+KZ/ZWKuNTnE3uHPSgd14lcZgGpmZNTZw9wMEMFhOYrxVhXHRT/pifWU7jYHm45UtMVwRETt27Ijf/u3f3urt26Wi2FF4Y2lElBB5dr42PqN9HvGNiJiamipl+DYYDNVsFAaEklZlMRFlOnl8fLzIou0gvExDWwY7tO0AyRJoRDmbtvNnLGeeeWZcffXV8dBDD8XTn/70mJiYKLIYA1YDPdon4/byo4MugR0n4MzUf3vjvJ2Hs9q8L8IOx0HE12fHw3femH2qDNEZm3XJYCiDFOTSarWKJ3Hoh6l1xg7oQl8coJlDByvrG6pkvwABAABJREFUGvdkhpax4Bhpi0BHsT64MKeZ9rfjzFm/WReDOuY0JzPolUEh4wKE257MDOY5MPPKtdPT0yVb5rfbITgxB2ZYYGKt92ZqchKUH5rANs0S0h7ysn7x99raWmmpLCc4yDAzbYAin0DuhBOZe4zDwSCGvV5Evx/RbEZ81wbNigFaYS3QO79xwMtVBiT1ej1OnjwZS0tLceDAgVIykpf1DS6yv+Rv5tiMXE6s8itmGAffo6dmfszc5AQHH+FlMMucRAP5OtFlDpGF70GfvKcXfbFeow/Wg5z0M9f2gRRiB2PtdrtFcpG3BzgZMWC3znjOAFQGbdi7fd4Gvfuu/pD0OpY+Xtk04Lr11ls3XemVV1656Wu3y6iYQclMkSljLy3a+CPWKWgyrHq9XjgwZ9lc76WG/FQbrw1x9muHHREbDMgsAYbqpyDtaDFOxkCAdFbtflbts+LvXbt2xUte8pIYDofFY+J2+IzJ51rlTMqAwZkYTpa9C152ZMwZxOFckZFBE/Ize1cVWMymeO4otOFAjN6YgTQD43nIVDmfW+7IE/APu1mvl/ff4IR8+r2DBn3wnPiBC1P8yIz+un2+o96JiYnSZl9kTN8zi+PltQwiWeajHgNvBzMHGPrDbzOo2Cf9hBUyEMzMkgG0bc19sK4YAFgvHLSs6wbCftgjAyDm1L6C/vlMMn6vrq6WnoIz4DG7YXBNnd6TQ/1c64dYVldXo1Grxf7bb48nfetbceDBB2Pfd74TrU6nGOtyux3Hzjorjpx9dnzn4ovjO5deWsyvgYMBhvXV9oNParVaG4CAEwWzIw72GWQZiGWZIjcvEdveDci43kvTTgxI/OxPiRcZHHMdsjfb67Y9Pvs19Gt5ebmIM9Rhf2aQaPtATo4z3u9pe82AJycqOakwAPYDH/ZhzE/2rSTsmcggieE+s5ubLZsGXFdddVUpsHpCPAEIZ7s88WLK0owKSN5KnoN+RJQchZeFqC9vgnUA5BqDFTNo9MP3Obvw3iGKnbADlZ0X9wDMYMgMAPyoblW27OVIHAsZkB3I4uJidLvdOOOMM0qb/R08crbK394zhiy9L4p6aMv7kui3l5dy5s/fVSxVld0hOzvsiI1nWDFvGfTloOzs3htgPUYHGreNHhI0cvDxnJs5MTPm/iAb/0bfHCTpO+MeDofFMSVZz8z4WZ4GeYzJwMLBgb7ZDvy59W8wWF9yANigk67jVPOF/uTDRK0Lni9sBFk5CBk0RpTfqQkL7v2JDlLIPCchfpAEu+10OkXgtL3aZpGZQUFmZcy4FmBtcTGe9vnPx5X/43/ErkceiYUdO+LooUPxlec/PxZ27461RiNqq6sxffx4nPnAA3HJV78aP/TpT8fJPXvituc+N25/9rNj7btn8XmJnbl3oudiMFsFOPIKA/oHaORhFYMhz5ePGchjNkjjf9uW9ZC/7fPMfJFkGjgxZuRhgOTxGLByve3NiZUTJSdz6JKZZ9tmFWDMgNPFSaETwAzGPBbbOfMIYOJVdfgZ3+s5QLb8GABvtmwacN1zzz3F31/5ylfiN37jN+JNb3pTXHPNNRER8fnPfz7+/b//9/HOd75z041vl3IBIJnRMLL2spEBUFZyB0orfg7kdvrUlbN+roNNyAHHwcibx1kecLD2sk0OomzQZdw2dAdwAnYGnHZMLEUZ3AwGg3j00Uej0+nEzMxM7NixY4OzxJnwv9kOxuRM0DLyj5mfqvoMwrzpmfNwMlXvcXvTL44OPfEyQ2Z2vKyAfOiL97OYYvcYDLY8l2ZGDYa8L86FsRgMZ9qe9r2xHD2k/wYCBpUeI9/bBmDcfK5Pds6Z8WAe6L/fbMA8OnvPdeRM3HNuwONEiocrzBg5gDJ+H/SYE64qOzHrx3XD4eiBHOTi8QAY+dxyNdAm6NlGHPxhZapkwjxzDbp36Otfj//tv/yXaC8sxDevvDJu+ImfiC+3WnHmgQOlbRLUORwOo1Gvxxn33BNXff7zce3f/31c/elPx6de8Yq49/LLi2vMrHBOmv2IAbWvRabNZjM6nU6xV9PfM7/NZjO63W7pIRvGjZytn/brTqSynAGrXoY2s8NntGsfZZ0x2EX30cWxsbHodDqFDhtM26aRhRNGbMJ2YP1kWdB+0qwTxbEm24hZ8cFgULDTVSsHtMM82zYAxQbPZoXxbbBuljfXnuqVa1Vl04Dr3HPPLf7+l//yX8Yf/dEfxXXXXVd8duWVV8ahQ4fibW97W/zET/zEpjuwXUYlM1w4VitOxChLddbuPQn8REQpcJv1MkvgzNpBwqySlSoDAreHAh4/fjx2795d2ohuB2Zw5LbJEM2omJGgHzYMb8L2tTbesbGxOOOMM2J1dTUmJyc3BEdnuM4YPTfMgwEH15tGz8DEwI7vCV5Q8XbIgCYeqZ+cnCxl12zO9vvoquZzMBjExMRECZQRFNAZZ3w5g6YvBBD6DJCyHhh829kjSztrZ/t8x/3ZFsxKebyZwbI+Ub/32hnkRkTxom6/ZoY5w4k746UfHg+6Pj4+XmTvTg4oDpLcl8GxZcs8mb0zeOaafEhxZlv5DJ1xgPYeQI/L9u+kbHl5OXq9XiwsLMRwuL7UzFOYrVar6GdE+ZVc2BFjsby9vMq9LDM3+/14wV//dTzlf/yPuO+ii+Km178+Ovv2xYkTJ+LEN78Zu/fsiZmZmaJ/tEmfjz3pSfGpCy+Mm6+7Ll70wQ/Gj7/vffH1Zz4z/uEVr4h+fcToo6t5T2T2VfQRXR0MBjE9PV3MZWZQDZgiopBVZlys7/k343F9FPTY20G8KT7rTtbjiBF4IZ5Yb0l2crJhcJLBMv7A4M9LguieXwjOZ96nxtiqEnWDNHwJfjMfTGrfkDf+D4fDYn8z8vSDSJ7LrKPYJ/rtfaWPV7a0af62226L888/f8Pn559/fnz961/fSpXbJTa+lNcMA4qWNwOb3jeowjk763Sm7OwqOwuYNO8nsDOP2Mh42DCGw2Hs2bOnZDgOxl5a4yRfDMR7pPJySgZrZkFoB0NwkOLz2dnZkqzJcLyHAKrfWSdBGBlmoJEzbC8neu+SHcbY2NiGp1zMcHjsGeDl07c9Jgf8Wq1WZKkEdx+DETFaKuHpOgA++uT/PZ9eEgTY8aCAM1Zv6M5sK8yBAY8DBiyP2SDGYQCEzZg94vymvKxrecGIWY5mfWF9eKIpv27FwNRjwXby3OW9QNTV7/eLZQ0CETZjpoj6GWcOiNZFt8E1BqVeUuFeQK79AvO/vLwcd999d9x7770REXH22WfH2WefXSQv6IFBne2iXh+9PSFiBA4o9jPR7cZL3//+OPvuu+MffuZn4rZnPzsGw2HUBoPYsWNHXHXVVaUEif5br7Dl4Z498V9f+9q49AtfiOd/+MMxfeJE/Ndf+qWIqakNtsbyr+3O4Np+2fZnoFmv1wummvpPtSRd5Vc9Dq7zYb9ehajVaiVW3Im1bRB/U7VB3MvJfodh3n7iRIy5tj0bfOEzra/oxNjYWExPT5eAJImYn6S3TTreWY72wQAo5slLl9gFcl5bW4v5+fk4fvx4DIfDmJmZKd6vyDVO2DKji007Dm22bOlYiEsvvTTe8Y53lFiPlZWVeMc73hGXXnrpVqrcLhElIOK1eD+tZ9YJBTdTgbLjQAzAqNvvHyOgETCou8rhm32jLZa5IsrHU/ixYpQYxwRgMK1OsQJjODZ86uJeb9Z0JpadPkaZ2TUAqbNUFzsGB9osV661XA1iIqI0t8vLy3Hy5MlSdoQD4Xe73S4ep88bP5ljy8wg3frBmH2uG/d5ac7gBqeNY+Vv7s/ZOtlizlC9zEy7rrvKURs45GCGfOizgxH9Xltbi16vF9/5znfixIkTRd8MbrENy2x1dbX0/kyA6NraWnQ6nThy5EjMzc2Vxm72wXbi79GxzJQNBuvLHHfccUfccMMNceeddxbvqCQQ0dfs1K3f1i8Ol52YmIhWq1WyCb5zUmV7sM57HpaXl+PEiRNx6623xle/+tX46le/Gp/73OdicXGxxFDSjhMfkkQzIJ5fB7l6vR7DlZX4sf/8n+Osb30r/uuv/Ep8+RnPiL6SHbNn9DsH/cw4Ra0Wt/3QD8Vfv/a1ceb998fL/vN/jrVOpzRfABvbvxlIJx/1+vrDSGbYDWQB6IwTHbW+mEVhGRL7on703j7VNkESYgBooGef4sTRbXkTObZgsO1YgG+j/7SLnnpZju+JD76GOvLRHGaU7Ss89/zgs/2GEY/TAAsbQVb9fj++9a1vxV/91V/Ff/yP/zG+9rWvRbfbLfl/LzPbX1nGBqubLVtiuN773vfGy172sjj77LOLJxJvvfXWqNVq8bd/+7dbqXK7RPlgRr9k2Q6L7x2QbMDOOghIBh04PWfHzoSok3udoXFvxMb3WxFc7Qip2wemuh82TmeaBm4O8hk80VfvjTAAMvAYDoePuSSVQQTOzFlaxMiBWc7ImvuQleXmZQvamp2dLY2rinkiKOclODt/xuEszJkyDsNgDt3ysin35qXFHNj4zRNSngvknec1gyJYE7Jb9C8zJA6yPgiVPuIAXYbDYRw9ejQ++tGPxkUXXRTPfe5zS87XTJoZrm63W8yDl8LHxsZiYWEhTp48GWNjYzE7O1uaZ9giz4uXunLCgb1wPt5XvvKVuOOOO2JtbS0uuOCCDUDVc06dOSAb5HCtGeHMIABgzdxkXc/7/Dp6IvDkyZNFe1xj1sP+ANBmPTS7wTgiIp75yU/G+XfdFTe85jXx7QsvjPpgUNIHWG333f6u2+2W2rEMjl50Udzwi78YP/mnfxrX3HRTfOElLyn6nJM+6zRtGCx76cyg05/bVnISYXaE67ElL9uj35nRMfOW+4t+OUnmcF6SOIMG98eJkIG+9Zqx5Tjksfle+wHrKqCr2WwWT9d7adHyQz+YZ77LJANjPnHiRKysrMTOnTuL0+qR89LSUhw5ciROnjwZERFf//rX48orryzihp+6zUl2frVRXtZ/vLIlwPXMZz4zvvWtb8UHPvCBuPPOOyMi4pWvfGW86lWviqmpqa1UuV1iBEQcbPy3Nyfa0TgjsOJFbHwPlzMTO2M2eI6PjxeZipG9QZM3PGYgyH121nzn5Z3cBxdYCu6LKAMH6nU2ZKeJfAyOCHA2VoMW5EsAoxA4craHMZqC9h4l6vBThw4M9AtZZYdKP/1UmR26ZYIcmBf2dfjBCQKqHSZtsQTHEjR1eRmTR6UNsBy0DcryHFEH9RnMOxNvt9slxs9PRDlI04brilh/DQjzt3v37rj00kvj0KFDxZEetJWfouv1erG0tBTz8/PRbDZjeno6Wq1WtNvtog8zMzMxNjYWU99dijK4AHTZZgwuM1vEni+eqOQJ8KuuuqpgND2n9g1ZDzyn2JrbZy7m5+eLJUszmVxvcEe9yKvRaMSePXviiiuuiKNHj8ZwOIyrr766SBjQ6Zw8WJ/Rfe+R8sbvfr8f+48ejWd98pPxpRe9KO696KKoR3mJzcvx6EVElN6mYPvJMuv3+/HgxRfHP/7Ij8SzPvGJOPyUp8SxQ4dKfrEKfGFLWb/RP9uwfTNJXj6sNvfLD0HYnmwbtmOzzGZzSKCyz+RebwEw254TKfsXM4W+LvtPiAHbp/fVASC9FO65daJgmTKv2R84ccib+Ll/ZWUllpaWCvun3Xa7HQcPHizuOe+88wpQxjXc44TOSb2Z7CcCuGrDHO22y//vZX5+Pnbs2BFvf/vbo91uR8QoyBiQmPbOTBJKzuZMrvN+Ej+BlDc9R2w8ciE7nrzJ1X0zEHTxZwApSjZ0rs2AwQEWJ/Pggw/GPffcE095ylMKxd+xY0fhNC2r3FcDEC/jGiiaLTJgoL92KrTnJTIbos90yvt78pIbT82YrqYtlrwGg0GhJ97s7r4xBvqdWS63y7Ueu7/DWRnAEqi9nOqlLV/L9ciE/9nQb/31nDP2XF/e4Gv20EwDMuZ3lgFLP4888kh87Wtfi9tvvz2mpqbiqU99alxyySWxY8eO4tiDvGxHPQ5cmcHJyztejrBO0A9Yq/w0lBMo+uB5ixi9CN0y91z2er3SIbRmQmGaarVa8UJsL7WvrKxEt9uNubm5OH78eNRqtdi5c2fs3Lkzpqamii0KBm6MgSBLXxzAkV2tVosYDuNn/vAPo7m6Gv/v9dfHSq28tGfdwIbovw9MRd8NGJl77KA5HMa//D/+j4iI+H+uvz5CIK2K2XUf/H8Vy+SnTvP82QegDwaKTpqdeLPiwXKa64dBRZbYopkZ1+kkyvZNTLAdUWy71n3PK9fnPcYkD8jFjJp1wSsh9tne4+mxOB4Y8JpN9jlzfqil3+/HyZMn49ixYzEYDGLv3r2xb9++0hO/tp3sU82WQ1S85S1vibm5udI+4aqy5ZPmq8pDDz0Uq6urcc4553w/q/2BKWas+N8BMmLj+ScuBE0rpt+flg+JjNh4qCr1mMExoHAGUhUEvMwD+LOBUT/KzPcR5SU1MwgU1uBrtVoRBFiay44vH2+As2GpyA7VT+HlYOTMywGfet3nHNCZQy8JG0AxR1yH03H2iCzY6HnzzTfHgw8+GM9//vOL12gZNGZGyTJgbP7ffcwsRdY3+mcdMxh0EMI5MxYzrvzNMhNjtIyRrfttJ01fGDPtwdJZH5mzbGO9Xi+Gw2EcP348vvSlL8XS0lIcP348pqenS68oc/DKoN2sCP3zxnfbFQ+IOHgBnrnOtmKG2Yynl4rMIvgNC3zPXLHniL0pFDMm/O2lRYIUbB/HqXgZGHmSKHgZ1Xrl/UL2URERZ997b5x5//3x4Ve/OgZjY9EQ4CSw249Zp4bDYekhCcblB0QMiIfNZnz6J34iXvF//V9x1je+EXcePBjtdrtgANmbbN/n/hqg2H/AaDn54Sw2xs8S9uTkZAGYqD+DIc9lr9crgWUfSeK2ncD0+/3Sk3sGOMh9MBgUQJzvzXChG+g8oI92cxKdGULHC/4n0bTe+Cl7A2Tku7i4GDt27Cgll+gDbSAPPs/n3tmnkiw4gaJfOSlg3vne/pE53mzZ0qb5U5UXvOAFlU8vbpfNFQAWNG3EyCBwKgYgOEcMFqXCoOw8yS4wLGeIKBZO2Y601WoVBjM+Pl780K6zSJyBqdl6vV44MtOxgIiIMktzqqcEqYtrzz333PjhH/7h4hUoNtQMvpCjg5UZQY/X4wJkOBBZZnlPBW2Zao8YZYBegrAjdx9dl4E3TvYrX/lK3HXXXXHvvfeW2EkzJx6jwZTlxJwxDoCQl9vMyJiBctZH3YAcGKGcmVpulpWdm99SYPngUDkOww7ac+LM22AaW2E+mQv3eWZmprArP1SCfNFdAhhznJczkB1BmKUNM3YGvXkPXQYz9Xq99PCLGQ2PHdu2PVI/9cIyMCaDY+YR5tR6Mjk5GRMTEzE5ORkzMzPF8ip1e6zI2oxARBS+C5kxX/T7ys9+Nk7s2xffvuSSQucd6L3cD3BhjgGFyAa9y0uzBrAPXHBBPHLmmXH5Zz4Td911V/R6vVLCQj+daNIv7Ax9MuDIgAefGrEOuCcnJwvgnbcHwLCY+TPw9nIycnBinLdD9Pv90qZ6yxL9ATAY7NCumWlki1ztI+0rAJb0H71Dn5EXgNGJopMZ6idZcEzgtwGqfQbzYRkiD8cSHizBbnzeHH7D40Ae9hPEkM2W7yvD9ed//ueljZXb5YkVB0IHED7zY+Vk8yir74uIYn8IygeQcVDHUaKUOYuykRBM7IBM/WYWyMrZ7XZjOBxGu90usVrU56yeoO8s3ctfDlx+Cot6HHAcLO2YzLLYoVEP46KdiCg5CNrBCXjp0nXZITnD438HVICdl4KdjTYajdi5c2e84AUviAcffDAuvPDCIlhnXfGeM2TBOKHBvfRB1mrn5b0TtG9gasdqh24AmJc57CT9OW2gj04KuIZlIzs864UDHSzDcDjccEaUgSf9OOOMM+J5z3te3HHHHTExMRGXX355TE9PR0QUx2rMzMwUcs4ANGfDFIKVmT4DKQNWByY7eOunGTDsy8E4fw7IsZ0aFHqZzUkKf7O072UvwAJAgnnCvzjpMftAoLd+DYfrDPx4rxdPvvXW+Ox110VojOgGupbtGrbOgMD+L9uhE4Dm2Fjceu218c//5m/iwhe9aMN7W2GwPFdOGJw04GudtFnnbKPoHXPGPZ432x12YSaLWEC/PE6zOMgam3f9MMFmhnwv91i3befc4zeDcC371vJ4DXhpA/1ysoSOWW48qFKVoHopEv9gwgL9ALghd/QKv8iKjOXsGOjkyAmASZDHK99XwPVDP/RD38/qfiBLdjR2WKZyDY68URuDyS+/xgmaGXBmayBlhcO5oMwoOcrqgGkl9InR3IPTdOY5GAyKl2wTHB3YzVhUgZmqgJKzPAd7B0jGgRMyuMF5cS9AwFkpMjU4cXYYMVoetlPI8wwlncdjJ7a6un5g67Of/exSkKTNXAyefCxB/h4ny3deHnGfDIpzdumxOAv2nHls6IgDIQHZ2S5zYGbSgdqsijf1+6lVdMmAPbc/MTERT3rSk+LAgQMxNjZWAhMOSsgNGVg2BDQDfn47QDiRqQKe1mvbc5a/QbTl6MTCJ7s78Hku8DHIjT7l5Wjrew7KXkasShYtd4rByRnf+U40+v24/9JLSzqDz8m6wtOtXqpH7uzNq9frMTk5uWHPqGV/38UXR30wiCtXV+PedLYd/bWvoA7bOD7SCZQZMfuBzLrbJj1uM9fI2v1ABiz18j31Mp/YDf30tgknyAaI6LA3+3OtV0ty0ux26Q8yye1lZt+6z/48M8xO0pyU5OQF+aCP1OV58V4y+3fsHOYxb+1wvCQZwRdZxx6vfF8B13b53ooVj8mNGD2F41Oa7dDs0AFgVkSAjl9tkNv00pCNJGK0ARaHgIFmRsRLMD5U0cswfsLIgazVapWYCdrp9XqlAyft8Cj0jUNM7QyyfOk7xuJ6eJR47969xdIYhu1lPrM9/o3xVQER7/dB3g5eZGA5g7N8WebI7Bf9pE0cZavV2sCaOGgPBoM4duxYTE1NFU8X86Jl15n3tzkRcNbvAIs+OVP2vPs3Op+Xw/IGXJ+a77Fkhi2zaNgE9/o7lgXyU4nIHDkY+JuVdBLkxMSg3NmyAQ72YJvOQanf7xf7gKy/jJW+2p4c3KyvDpq5Di/H0H5m1HLgzrZsBsW2Qz/MsjqYnvngg7E6Ph6P7N0bIebH+oDsOUpjeXk5lpeXi7cxjI+PFxv4kRW674DvcnzXrlhutWL/t78d37nsskJPMmOEriE/vst666fwMpAmQbUtZRBkf+mkwPNpPcoPI2SfZ9uEwcGe6afnzgmeAVNuA51z38z4GYSwAlCv1wsGyXHKtmrfhMyYMwNrWLXsl50s0zcvRZLYui7PrcedEx90meTVbHGOM49VtgS4du3aVZlVV5Xjx49vpYkfyOLJjyg/5YLTceCIKCt0RBlI5EzHbIINCSeZDwFFwbw/wsAiZ+Xe72QHy3KDAZqzG4KL+8X4nUV4Xd8ZJMwVdRuUke3kfWHuN9c+8MADsbi4GDt37iyCKtf5kF/G6t8eA2OzM/XmZtcTMWKVMrNT5eQsJzssOwzrkZ2HdYx68wZzjwHZWL/oN/V43wjzRf9pL88Lnxs0msFxUHHiAaC2o/MrSAxikCt1YTtsuLYOVLGlDqwEJoNwv2KKPnKPN/NjO97zYydutpLPzTRgH7Yrs28kUbYbgzInXw6C9gPoqVktX2ewnJdWLDfkgpyY56yvTnQajUbse/DBeOTgwWjqfa0et8Gj5cpp4SsrK7Fjx47Soa+2bzMi6PlwOIzm+Hg8fNZZccbRo4XOWk/xnd6kz3jzsqBlFhGFDLANf2dbYv+Zddb7XX1Ej8FHo9Eo3uPoxARZM6/MQbvdLvlIJyrcb6CJXhIb+L7q3Cn+Zwz2deipdZ52vHTq+coyykkG82K/a/20/7Ft4Of8fa7TTztWJSY5IXb7mylbAlxve9vb4vd///fjR3/0R0svr/74xz8eb3vb22L37t1bqXa7RNkZRmw8VsHnmESMaP2I0V6CHPiowxm7wQ/X+EBBHFTeiIkDGKug4FFSZ7a1Wi0mJycLBYc9sXExNjtiZ3N8n6l6g0Y7ScvSYIDfeU8YhnvJJZcUzBwB0oHUzpQn3MxYmcGg7iowlZceYAAtQ4Ai8+YM2EHOQYn5MCjm2nwfQWzXrl0lWVKPWRqzPnkvh5dBCNxZLzxfzDG6aHBHfbzwF5mY+ve+F4N15sDLURnEeCMsG6L9RJ1BHmNxJp/r5nP6jX16LIAtbMdPrNnOzQx53DmwmAXwAw58z8nbZmeQjQPKcDgsmDPPH3VnPfCSmfWeutlETxtOLgCnZmAcRMe73ehOTpbqHw6Hxaui+My+ZXV1NTqdTjz88MPR6/VicnKyOOMMWWLHBlp5Oak3NRUT3z0Kw/PpJMO/vX2jKrmx/0GPnDRkQLCwsFCAXP8Y3FGXWSTYbicngDfbm5NewFm/34/FxcWYmJiImZmZDfGGfvsBJvs1iueEsVOXEwZfhw7Qt3q9XsxbBmCWs4GYAX9O4Hytx4IMc6LnpVNsx8AMuWd5UjwnmylbAlw333xz/N7v/V687nWvKz57wxveEH/8x38cN910U/zN3/zNVqr9gS/O9gE1zk5xCiipD7nLQSei/MJQo3KMyxunzf7kwBwxyl5Y2rLBcB1r3RmEYOQovxkggp1pYhu/jYPxZyW3UeJ4+I1sLFs7du6v1+vF01h2oLB+PM3iNX47Ev7P74UETHnjMcUBjr7luaYNHEOeK/ffbBjXmcI3qGXjPG1Yj5zRWicyjc/19fqIas9g1k9Nul920p6nfr9fyvIzgxYxAjfIzhm2l23s9LOMbQcGtw4u3juGPuWAbQfNu9zyXhzq42DXDE5ti3n+HLDMaJohQwb0DXBpUBMRJbDFD7ZJsmZGD72z/2DLAXLx/h8vUZkJmp+fj0ceeSQOffeQ0fwQQW0wiBCgo5hNcTJHe61WKw4cOBARURzCSh/Y2M89p2JTBhER8k3e47P+Vfl8NcvNwDPrHnNiZgyw5sTFybGBP/UD0u3f2FRusJN9jOcsA5ZarVY8OW79snxp31sDkIcZNeTkdkki+dvFPpO+Z8aMPtov2A8h33xWo32gbRC/6RUcZOyHyehfZtec5NG/iFGy+USWFLd0LMTHP/7xePGLX7zh8xe/+MVx0003baXK7RIbz0ohaJhtoHgvRMTo4MOqJaRTsUE415zduC8oqJkAB2DuM2MWUWZ87Fj8RJ+BlDdAmyEy+HO9Ls4C84ZTxpezcwMLvmeN31mQHYb3CwwGg0LmPnrAzpE2cOaMz9S++wS75r0OjIVXcywtLZXGmdkWnzMWUX5iyuDOmR/XOpsz4KMemAXvW7CeGvDRbxy0l6W5x3IzEGAfDvImsUBPaNeAIWfxEVGwHQZSGYB5PyIOFJnYuduJGxx5w7jvMegw0PEcMS8GlO4j44M5Qp7I0mDL7Iz1wcHNgcL2ZYYV/TRQyRuPqcNL+dyX7RXA4OMm+LxgZ8fHY0z7ayJG74/My/CAIZbUdu3aFXv27Inp6eliD1673Y7Z2dkSm5jBYZEorK7GmgKx2bE8Lmwee6VurrGvM/A0Y+rPh8NhTE1NFWPMS3iMEcDDuNEJz/lgMNiw99Lg3P6h2WzG5ORkTE5OluzUY+WeqtjhRBG7NOhADr1er7SM7YQZOTqGITt8SX6K0rqN/fF5TjgBaMgMBs0rRCYPvJzsYn2nGPxZdpspWwJce/bsiRtuuGHD5zfccEPs2bNnK1Vulyg/RnyqCTaz5KBEQLQzQKGsXDZ2Z0SmzbmWawgQVXQtBkrGVZXhZWdvwzPDktujncxyWVbcm9k1OwGzZhEjEGDQ2miMziEze2TWJQfObLQ4dsZnwOl7DQKRH6CBazM1z1y7H1WgHNDBGP0i5qrlNgdmgllmGryc5bk3+OG3nXMG5HxmEIST439+zBwhD+oyEMxsX9YT7ssb981U2JkbpKCP/G1WwbaITlkvPZ/+yVk47Rqo50BiwOp9YvTVry4yI+fgi9y8Kdzt8Wong0t8Ab8JSgaY9inWQ3QPlnffvn2FLJ001Wq1OLl/f+w+ciTqtfJWBGTKWLwPkwc9OLB0fHw8ZmdnY2Zmptgz5AcNfPSKdXn3kSNxYt++0tzQtsEAsrNPgHW0zrJ86iDMmA24bA95zj1mg1/02f4wYvSUs5ky7N39d7/tfzJbz7X4R9pjDK4bUOW5Ql9InJy8c68TCL6n/yRK2Jv9p+WKbAwQPXcUxuZ5ysyl7ROf7uV8f48MmA9A92bKlpYU/+2//bfxy7/8y/HpT386nvWsZ0VExC233BI33nhjvO9979tKldsl1p2oac+I0Qa/tbW1WF5eLl48ahbEgRmFq9VqxfUOkFYulDQ7WoyOz6vORcngJ9cTMVp+QLkBBHZkGVA5oBmIYQC04TrsSF0vMjQN72ANe+LrMXo+94ujPTbT286cvQm6yOD75Sf1vDGYMTHX9NdzhrPj0EQHagNAxmO2xc6XYpBlJ+RlkryZO9+b2UH67WDpZID+2VEZQPh/xu9lMYNM6mT5lmu8NOhs2YDb+sFY6afBO20QVM1KGkgyt5lxdICxjKnDwNdBnj56/pArduv+ue8s5ThZoN68DIUOm6mzXRuImmG07nopxn2u19efSPNhp3l5iP4Oh8M4evbZ8cyFhWifOBFLO3eW5Agg8FJmq9WKsbH1d1HSHwK82WQHQgM8xtVaWIjZEyfi4XPPLbE2zDlzxdzZN8Fy5lPK7Ue4Hv2wHZhFwzcazCAvLz0zjwANA4bMFNkunbDTJjHEy3M+YZ9i/cxJsJ9EdxKCnmT/ZF/u+JOTWCeZ1lX6yRsqWDHhO37sP91nYpHjpGMn/tpHKpkh5D7qYux56f6xypYYrp//+Z+Pm2++OWZnZ+MjH/lIfOQjH4nZ2dn43Oc+Fz//8z+/lSq3S4yAgzMnM1Sc8Jz3qGQGAWdG8LUzhy2AzTEQcKAzKCODYQmN/jiD4vR5Cs7SYMCBAOWNKDvriCgFrxwgGIuDe2ZtIspHKZDBG6DSD2dXftSfvmD0Znn4bcBhJ2hgRh0ev7P4nFlXOQaAlAGll55ov16vl06W9pzY+WbQ7I3eGZhYLx0kCWgGrQQ+n6NjeVqOBo1mbN1H+ukntZBDXi6hn9ZBLz9FlA+ANUNkQGZW1kGq2WwWyzvoDG9dQLbobd5wTTtcQ32Wi4GL+2B99r4Ys3N+tYjvM0Djt8E0tm+9dpZPMbthEOmASt8NHlqtVpEg2k4MaofDYTx01lkREXH2ffdt0BH6ZAbFoK7dbhftmCF1X7xX1A8wnHXffRERcfTss4v5tm46UawCVLZbyzKf3YZNer7Rd/uQrPe0gaz9zkpvB1heXo5jx46VToyn/44J7iffZ2bS/i77Kfu0DJiyD8OOzRR5S4F1iP5Q7J/oXwah9idOmjJYxEb8hLHPcDMItc65T7kvTpbNGG+mbPkcrmc961nxgQ98YKu3b5dTFGepMEKeYAzKr0uIKGc1ZnBO5UDsiPv9fmHMptwxDBwF10eMDlY1i4MB8vi+gRGAwI+Go8BmYczqYGRegjBLkilvxu4Mx46Ati0HHq1fXl4uHid3pmVWkPYoa2uj4yYMaGygzmIt05xxE4TI4Cwzsw8G1My7HTX9Hh8fL/Z0WLcYg/XGWaE/swNjTgxaHAi9WdtA2QHSTtpjZ17NOvG5QR19Nxg2KAJMOEiZkaKfedw5mDjo2XbMojI/vt5Mm2VGf9bW1gpWweCbgv2h97Y3yzaDZupDRrSZ9Rig4OVLAhJ9MzhlzrBlgxgfRuwADxjIS7je4Gxwuba2FvOzs/HQuefGFbfcEnc/7WmlIO9lHeTtBzE8zxk4064Bru3l0ptvjqNnnRXze/fGsD96ipr5M+j2/8vLy9Fut6PX68V9990XBw8ejJ07dxZsOLIw42fb4n/mwyDa9zjxyz7Zc4tM7SNJ2j3/tIMvZB743v7ST8Bm/8ADW+iF9cOF/2GkHC8o9jFmugzumUvGQD8dF/jfx7Wgf51Op3TG4YMPPhjf+MY34mlPe1rs3r276L9XaDxPtgnmkD7bt2ymbPldiocPH463vvWt8apXvSqOHTsWEREf+9jH4o477thqldvlu8UgImehOOWI0b4CB2IHZgc5s0cGOtSBwlFslAQZsygYgEEZLJiPVrDiO3OvyrycDRlUmKWoCo4R65vK3Y4zUz6zgVKPA4lBYWaPzKq4v+4nMjXTZXDHnDGHZlKo3+wefeB77rf8+I1+EHQ953bGLMOxLMMY8/lHjNEydJ3OiNGNzLrm8RKozQZ6bNZzg2df56x/MBgUB2Eie++3yGymbSIHKOzM9uZkIaIMmi2LLB8HfssrIkqvK3LgtS4CmM02ORhhx8zt0tJSPPDAAyUW1310wKJPBpz8ph95T4ptzuxLDoDZ1rD3RqNR+ASDCPupr157bZx7110xe/RoJTC3H/C+Mn6btYTFsE3SFva0a24unnTnnXHH854XIcBmUG82xuCGbRqNRiOWlpai2+1uYFgyS2J5MXeAN4+NubU9ZdbF9l6vrz9dzR456xF2CRAxYDeQoC+12uhoBINl5sz+yfPS7/fjyJEjBQ7IgBG52h7sG2wHxBDruuVqsIZ+ULdXErIPop5arRbHjh2Lw4cPx4kTJ0o65nuQmZNMZOaYyPxstmwJcH3mM5+JpzzlKXHLLbfEhz/84VhcXIyIiK997Wvxu7/7u1upcrtE+UmpnO2jSCz3OdPE0AiA3lMSUc7UMuOBIaJQbHS1gzXVjPHkU+HtCKenp4ux4PwIZpk9cbafARnjNADzU0L0L2L9Bbt5jwD1Ofu1Y8WBOGg4WNnRO9v28gR9w3HaaUSU31TvDJDlKIyVwOGMNS8HOuOEMcjLuPw202RWgesJiAAM2D0AkR2XX/DtwECfzSSZlbFeM+eM2QCJtghEdtRmZLKuGAgzLzxUgA5RcKbMqwOIdcRZMrLkEXozR2a3zELSt+Xl5aItL4UYtCEv64GBkfvvQI49skwyNTUVs7OzxTzZj3AvMnY7/jHA53uzZBxL4mQvA8sMnDMr7Gttq2NjY3H4aU+LztRUXPOJT5Rs0H3nbwNgGGbm1/vuSD6qmJ9nf/KTsdxqxdef+tTCVg3KMhhA/+0TWq1WXHnllbFv375CB6zzBt/I2Vsx7Idy/2BkvDxpP42vxS7wRQbkjgmAaoM+P73ZaDSKd97mcTebzdKSHAeueh7xZ44vpyIDnAhgs5atk2J/jm5RnMwgx5mZmeKdvfSdp1fRhyuuuCJe9rKXxaFDh0rLyMQormPceekV2VctYz5e2RLg+q3f+q34/d///fjkJz9ZUKgRES94wQviC1/4wlaq3C5Rfg0Ev806EcgNKJxpc012DM7SMEq+z3vFvCnb2b7ZA7MMEdWnbUeMnuBw8AMQYtAEWgc/2BYf7OdsPy8tYfAOfHznvRYEQTtDyy47MkANARjHQJ+RqxmtnNmalTFT4LFzTV4O8z4Dz7VZCJwA+sAYkb+zdvpu+dAmnxOsM/vCWBx4cPYGK2ZN7VS5DkBnp+4lBes/OkXfer1eEZCsewZ09BP2y+OgPq7JLJ6Zxby07mDspQfaslw9Vs+f97YxThIcgzknHgaWtG8Hj6x3795d0kE//s5c5Acq6IPtGRswKGRMPgTTAQh9NMCkvwRDgjFj597C9pvN+O8vf3lc8qUvxZPvuGODfK17FPuWvNTp5dWI0X7GRqMR59xxR1z2hS/EZ1/2slj9Lti1rpqx8LwwJoObKn/pxMj2zm/mF3mbwTXo5x4/7JDBl3W4KsEweDQgBpB6qwDJSh5/1l2PAZ3fuXNnzM7OllhWbNfJsVlm6mdu7Lc8DmTr8bg+J5b2AfaVjovtdjsOHToU7XZ7gy7zXl/6yXKo++sEgvnbbNkS4LrtttviX/yLf7Hh8zPOOCMeeeSRrVS5XaK8WdxZUUT5HXER5eCEwtmJ8j0B0xtucVAOis5e7ehRVFPceTms0WgUGZkDNH2xUtMexkJm5IBvZqfqqAVn4w5ozkptGFznp15s1HmMOF3vsQAkjI+PFxlTDgbOvA3WFhYWSsA5Z+7I0Q7aTt5BivudtTsjNONS5WgzQPTTWPTd8hwOh8UyA86ZfuCI3HfrTu4bdRvI0C8zMjnDjYjSQw1mJOgnhaUbgIgzdQcMy5o2s/0Y5BpkodPUb90DsBjQ+dF4jl/gs7w0Z9swo2jmKQNBBxcnJWZUrGO2HfTK/zu5yoDB+5v4bdBLycmC9Zg2/IRwv9+Prz/96fGtyy6LF/yX/xKtkyc39MmJpOvz3Di5MmODXTePH48X/OVfxr0XXRS3P+tZpf5bp3q9XgHeqKPRGJ3pZRBvO/VThNSHProMh8NYWFgoASvbvOtkLhiHAYeTLYNA27v7w4u/DW6oh+M1nEj6e8+FY5QBL0AuYgSIfY11OGK0H8/6zTizvvM3e1ztlx0vM2vluum/68sJcu4Tem+7sV96ImVLgGvnzp3x0EMPbfj8K1/5Spz13SdOtssTL0ymnxL0d2SYACg7RJQhZ6b+3Es+RuXNZrO0qdCBkuLgTd0EDjIjU8/cQ/0EAsZC0PQTbjhLsyL5nBsrvPdc2cHhlNyOn/ChD3ac/F+vr+9RY4nQwYQ2cZJ5r8PS0lLMzc0VdS0sLMQ3vvGNuP/++6PX65X20HhZATaG7+ifAYHBY0SUHA3sA87DgZcMj3sJwF5yNtjCsXqfnttEd8j+LHd0w8vJ9AM9oeDQDLwyUKkK5Dl4wbD7cFCDWRIC2wE/BiWWucGP++AXgWfAmwMfWbsDsYEw2TR1ZObO+wUB6w5sjBPARltra2sFE2gGyoEhBxrGZLabRMjB0axG3u9pH+MEAWDK1gXbuuew2WxGrV6Pm17xihjU6/Ev3vOemPjua2/QTS/7IEsztMjaB96i6ysrKzGxtBQ/+b73Ra3fj5t+5mciauWDdM12srzvJMI/1mFvAzAAo69VAd5Jr2Vqn4L/clKMDSALs/0GXcjE/9s2uc96mJcEkSHLjz7Tz37BsrCO+DgRdNp+y0mw7c3xK4N2Ej/6x734IvrsrQfWf+53soTeIiezeL7Pus7/2NNmy5YA18/8zM/Em9/85jhy5Egx4Jtvvjl+4zd+I37u535uK1Vul9i4r8IsA0aOAXhTqu/NS0dmprzk5/1LBibOyJzdeiO5mTj30ewD35nZypm5lwWdAdnI8lKQGYr8UlTuNUtg44sYUdMGkFzrPQfO6lyXM9vMyqytrUWn0yn63+12o9frFY4HuQHq7Cg9rlwcqBkfDjOivPTM/CwvL5cofzMW1h2DCu+TyeOPiBKI8Jw627W+AfYYKwGYecjgxSDMy618x/jzPjM7XM8t91nP0OcsW9pxMLNdcB0yR9cJQmYSKdxPELVDpy3rnjcnu9/YPnXZbvnc82vWzTZsoMS9fqqLcfG5kyv6S/vWV4NugpQDE4lZVUIFuKe/y7t3xw3/+/8ek4uL8dP/5/8Zu06cKLGA2LMBh5MLzyVjGhsbi+lHH42f+uM/jpkTJ+Ivf+mX4uTMzIatCYyd9niwhNLv9wuGaGlpqaSDvPILnbfc7aPNaE9OThbg0H4HWTgBdwJm0Gcbj4gNoM3jyzEEv86eLPsT611ExNzcXDzyyCMbEoucxGa2KYNU7Ia5sx/0k6xOCKxL6JdjINfAQJowAIBzDQDYSSZ1Z3k7Hrk/Bn9V5MRjlS0Brre//e1xySWXxKFDh2JxcTEuu+yyeN7znhfXXnttvPWtb91KldslouTcPMH8b8MEPDWbzdJrElAEXq7s/S1ZkX2kgWloTg828MqGbADEjzdU27gJts6CyKjNivC3nWe+Py9VeL9EVfDIrIYN1Jm95ZsZDObGDtxGihGzeZk+7Nq1q7AT35/ZQmRqx+g+Gxxj5GTV7i8/yGRhYaFyA7nHbkdoIOklM/qUwb3bNItj/fUmYbNW6BDOzyDKwZW6IkbgIG8Yzg4vL4dl8OhAYMfteTFg8aZm+mKmwCDVMqa9vFyfQXZ23H5QoFarFUdJGDw72JmJsrxtV9Z7L30zFw5U9BubZ+wAncy2mqVhLg3uDcyp13ZrILa6uhqP7NsXf/X610dzbS1+9g/+IK74zGdiIEYNfeQ+grZlX+xdjYjLPvvZ+IV3vSsmer344K/+asyfc04JPHssWR/Qex5SmJ6e3nAdSawfWrD92u4N5p14Moeeo/n5+VhaWirm1PUiKwAeMvVysll0J2wGTfhWs3TMu5nEVqsV7Xa75HP8cIfji2ODdcvAyj7JYJI6GKPf5emkpgpYO9YZQDI+9IbPnDDYJh2D7NfwTWbDnLxtptSGT/QOlW9/+9tx2223xeLiYlx99dVx4YUXbrWqH+gyPz8fO3bsiHe84x3RbrdLezxw6M42cHoO1EbhDh6AM5TXJ3YbgFlJs3LjOPOGeCu4A5+VF0BoIzLLkZkHBy6Pw7Q3Y8j7LhwwkBsOwEDTGZwDDMHRwcGyrmJGaNcvrWZPmp8gtXPPmVwVQ1Cv10uZlp2i5UxdERuPVWAJzK9Esa5ERDGvOF/OGKIdB1zXb7bK82cGwv303BqY0D4O3pk6/cwBi/rps/XU8893OQCaCcl67z46C/aSFXNuuTGG7Ih9j8fsp0xtExGj9w96nrjfzCrLtMwR7eYzr2AS8jYDBx2CfgYCjD/rjgOQA7j19rG2PaAn1GX2Agam2e3GC268MS7/7GfjoXPPjS8///nxrac8JdZq5TO6GDOs3HA4jOZwGOffdls8/b//9zh4zz1x+7OfHZ/98R+Prp4ItS3nBCb3zUDTvpDxGdwAgPIbKuijEwSux2eQ/K6trRVH3eSDVJl35qLT6RRMlf2n9dv9tL8xG0V/IqI094CwvH8vzwHM08rKyoblcYM0xsn7DZGN26VfxK+1tbXSy8iRm/uMznrrhnU96zx99GHR1EcS4TjoOODkrdfrxW//9m/H3NxckXCfqmz54NOIiEOHDsWhQ4e+lyq2i4ozbAIFym5wYYeNo8zo3++fiyhvunfgslHkDB0FzRvh7YD85JMpeQOMnL3jVDAoDtLjbzveiPKTQgQQb2jFcDh40BkIY3EWmVkvZA1A8pJFZiYsL/qWg5CXkMz0IQsCqq+13Kk3G7fHRLHs873tdnsDmHMAzOxavb5+xpDZRssL0Gdm1CDWfbCMDVbtuD1PdoqeE2RnmSFXHHdVpmxnaQDD9xkEIzeCAO1nAEd/LI+JiYnS6fKMxQ9c8LkzbDOkVUHJwdC2zP3U6X0w2IOXbpycGFzk5Aw5EeQMTABBZjZsqw7kHDHCHDPvbi/rr3UMOay12/Gpn/7p+KenPCWu+fjH4yX/9/8di7Oz8c0rr4xjhw7Fw+ecE3O7dkVMTERzeTlmjx2LAw8+GHvvuy8uvPXWmJ6biwfOPz8+8iu/Et+57LJ1UCBWBGBQJV/LmP7Rbx8cy9xjK/ax9hdm9LIvMfh38XEsGfA7PkxPTxd6wtwSH/D7jg985g3+XpngWnw1SZsTGgN//DlzNzExUXyOn+YwbO7zao6TY/rgOci+dTgcHS/j+WFMEdVnBhpg2k4zY0wf7F/MSOeEI8/bY5XvCXDlcsMNN8Tc3Nz2Pq7vsTj4RKwrJIZNwHJQyhlixChItdvtiCi/zZ4CYMqbgauevnGmZ0X302jO+O0ccFB+moj2zRREjAAZTiIvDzngUz/1tlqtDVkI99kwbHBV2Vo+0yYDSjMkzA+fG6QaZHmMdprUC0hmPu0MuAZHxo8DogEK/2cwSNum2lmWRlZmJQxI+MwOnHnPQcVZrIOpv7Ps7GyRVwY/ACYzsE4cCBDca13PDyvYmfoa67iDaNYTAAl94KkpdDPLx+2SHADuXcz8MD9VQI/+ApDyEh0yQnfMtDooozOZeTBQdrCmbT/w4qf20Gv65v2i9G9sbPQmBWyIfY7eqG727IGLLooPX3xx7Pz2t+OqW26Jc++8M67+3OfiVOXE3r1xz+WXx63XXhvHzzlnHQwPykvMtiMzIU5wMrthoJh9GONFJl7KRa7Mof1mti3rAfNcpU/ui/vY7Xaj3W4XYPJUtuVtG15uK5Zia7WSP8JXeBkV/XTC4DbQ9/n5+Th8+HDs2bMnzjzzzKJd+m7dQk+ctJr1tJ5l5i73wz43+0H66GToVCwmcbJq9cMgbzPl+wq43vzmN8c3v/nNbcD1PRSckx0Bnzu7z06QyWfpgGBkx2cnakDEdxQHfwccgAjFgAbKl7qcETuIUJcZIjsbvs/7ViJGLBEOGkPIAcntWpa0ZyBieVoWGL4zP4zaT9uZwQGMwrSZreFv0+i07X0dlLxRFgfnZUVnbmavcLbI0/Pr7Ixx+V18ljPz6sze8jPgpU9eCnfmydgZG8EWfc/7tzKzS1/QM+bVTJIf2IBxyuM2G+gATz3O6MnKDfDQNb9Mme8MUpE7dkQ7DoAOoAZE/q4q0OeAYgDhoLG6uhqtVquQO0tuBnqZdXIQiyi/v9TFR6ygR1WJDrIkYNFHJyfcTz/t+8ymPHrwYHz6p396XZe63dj3ne/E1MJC1FdXY7Vej+7sbDxy6FCsTk2NEi/5AvpGqQIzANTMtuRkic/MZqGjyI3ruQYd9xzbN7g/2SdRl/UigwT2WhnsOQYYxHG/faWTNJbv7Ct50hrmyiwVumNd5zvOiZuZmSnaN5hFXwz+8LOMmbq8180sG37X23HsPw2Ssq3ji5yIWLdz4uF2mdfNlu8r4Lrzzju/n9X9wBXvZ7EhZgO1skZEyYnngJr3FaE4+eTonLHl7MuGZfYJY8ZZOEMxA5ENCuM3eMQglpeXSwGAsTlA2hmg/N1ut0SHs3fFoCgvGdIX/42cvLRm1sd9t8EjG4NMg0na9Z6yzILkgOVs0sGBuTW7QDswfS44Cu7LAdL7xpADAJL+ZMdo2dBXn9JufbK+OiN0pms94Md7Di0fdBod8PIZ85RtAnDpuffyHePPjFHWN5gl9IAxUsz6sbRHsmI5+gw0kgeDKS/zM9foj4Ggbcrz6mQEG/V8ZWbKcjMDQh+ts8yNbdrgI/uBTqdTshH6ZPsxcPUSlRlY5NMdH4/vPPnJJRso5jrKD7nQfydUjNv+gOv43Iy8wbTtzYwJc8D+LbfnvUrIjzaQncfq75GLbQCZGZTQb4+x0Rg9AWvfVbVdAHuGtc0MjtlbAAp95lqzQBzCPDY2FmeeeWYJfGZZWkZmXZ0QWF62ndwX7KnfX3+Bulkv/BN2TGLMuBy3nEhHRGnvMDpjQLyZ8n0FXNvleyterjPociaYN2tSzBQ508c552VCjg2gXV9DPxy0cqBjGRLHTMCgL5kCrgqa+X7GbSfs5SEbM4ZstgRnYtBUxXJRn51ZxDpQ8V4cgxY73gyQGLMBFDKzc7IzzQDPYMb0d84UkasZRLMSyNJZrp2WA6bZGetPDsAAMmTnOcgPU0RsTBwyAMlJgwO/l8vt+DjHycyh58cBGzvJMh4Oh8X9ZqLsXDNQNtvA/BjYUAefmQGjbXQUOTq5ob8GW55PM5tepjGwRJZerjM74k301MM1ZlSQC/cxz/QR4Mh1+BoHbusZdZqtRcYAkoKJGg6LJ6utMw6GDsDoBK9xsZ/ynGeQgZ/Kp7d7zFzHvXmfjrdtoCsAROrBjzjRMOA0GDRgMCAx0KffzK/rdRJmm8pAhH7h/+xf/LfBjuvGp5qhQoZVLI/3bNmWkSt9pA6z1hn05HnEDngxteVnEEQCBWvnxDvH0vyQk2VhRjCDWs/F45UtHQtx4403xue0hv4nf/IncdVVV8WrXvWqOHHixFaq3C4xAhsOHo1Gozj/KKL8RGJEbHB69Xq92PgaUd6YbOPB6L13wpkthhIRGxQssyMYDVkUzjC3mQO4AYTZJDsNlpHM7mR63LS3QYeBBd9Rr4EgwLBqqdD32gHQhrNgB3LqJ9vFEdB3O6OIKM2ZjwQwMKJej4HiTfhmpdwXBxIHR7M5ztytDwZwyMT0PrIjg/S9GZgQ4MwAcK0zfsBKdsj0t9frFX1yMMbB2q7M3FKnGTX/j25aLtZ/CvNtO6Hf9MMgz8xebtcJkR25bc5n4Xk8BAIYBYNnvnNArDpygjE64BvQW2eYJ+uCdYMf+xEH2Axw+K7ZbBa+Lp8LWKVHXhYyuPb4feSLv8enLSwsRKfTKfkHmH8DBGRjX8ics3rgoJ8TGverysfaVimOAZkZN6uFPudkxjKxH/DyNddkX9DtdgtwZzaMwvwZODI39LfZbMbk5GRhT/7edsbnGbhjPzlpZCywb2a3GbsPv7Vt0Gc/xJGTUfrOeO2D7Lc915stWwJcb3rTm2J+fj4i1l/z8+u//utx3XXXxT333BPXX3/9VqrcLjHah4WiGVU7e8bIUGxvdMZZOHuDzXIWGxHFW+69cRBHg1LSno0/YmP2wmshIkZO0pk59TtrNWuHA7DjQaEzDZ2XywyeADQ4JIyKDMmsmwOa68pzYgdnEMa4GIuzRsYO7U9dGC/7psxQmP3Lgdd7Qxxg8pwa4NJmDvRm97yvJmfkjA9anj56LlyHA0hmtxwQ+N5ZubNssydeRqA/tMN3XtYy0DaItk7npVsHppzNc3+2H+r2/8eOHYujR4+WGEuDkcxU5WDm5MFnLJkpyoE7gxDLlO8NOPI8eckdvbR9DQbry8TdbrfQc8698lKNgxfjtL076cBmDO7NnEaU96f5HCfa4pqcXFimzIv74/sBw8iCYj/n5Jc9st6L5RP0fS19q9JH/vaKAu1aXzLIAUDad9GOn1RlbGY0/Znnycu7zLUTf/rpLSP2n5mNGw6HhQ7Zzmg/A07HOus7dcFE2i9YP+2XvZLhPo2Pj8fU1FQJHLp9+mcf6H22ngPbvGPkZsuWlhTvueeeuOyyyyIi4sMf/nC89KUvjbe//e3x5S9/Oa677rqtVLldYuQ0UQKDELIyZxYoNXSzqViMg2UYlC0rSM5e7KR9NoodPQZHnx3snIk4gOSga+eDU61yfBlIOLBwjw2YPjmIGAA6kyWrJmv1nhm+y6DM2bmNM6KcJXrc3hdlRiA7AIoDSJaFqX+ClGluZOwnQ+34mTvmnTnyZlODUmejBq61Wq3kWGnfjA99RpaWe2ZFkIV1mo27Xkowg+TgQWDwxnyzKThh5Eeg8/KOdc26RPHSqUEqYyRYZLbW40XPbKfWBT6DFfNypPUtZ/ZOBLKtu23mFZ3xgxC0z/0kBbxX0DbEq3/QOdoxUMoyNRtgfeYag/qc7BkwYZde3kLHGKPtP/sOywk/Rb30xaCE71mK9JJuXo52QmPW1qDXOm1d4m/bou3YQMtyoi77BuaD8WKj7M0yU2Sf6OU6z62XnjPjZj9iH+4681zyPwRBTiLts/AFzDvfUQz6vL/y/vvvj06nE+eff34pFtgu3V/uNUi1jJyk0ibLvJstW2K4xsfHo9PpRETETTfdFD/yIz8SERG7d+8umK/t8sQLSgEI4BgAZxOZFTDzQbGTMDjJeylarVZEbHz3nIGeldKZu9mGiCg5FgwjZ8ERUVJwgj7LmjkbNY1LGxEjh0t2R1vO/sx0ZeaiaokiMwHO/Mzs4IwMwNyGM6f8Wb1eL53hwxh5eszf24nikHyWlLM5Z9MGsPTRj6k78yQoEFjY72Cm0Et7yKrX6xXzwdyZ/Zmfn4+VlZXS8qKDMHJhTKcKEsvLyyXZMEb6iQ6ZUXDwsr4xh+gIcvZSbJar5eAATdacl4727dsX+/fvLwVrvy8x7yvD1g3qzAzRb+uBl7psh/YhBhwZkJlxNXOeAREyOXnyZNx3331x9913x3e+853Cv7s/1M8yrNkW648TD9rJS8b4PArf8aRj1VgjRg8FGWA54Pv4DOsEoNO2xDznQl9g+rzVgfGiR17itq27Htgy2y22lNko+1ODIPtjJx72OX59kO0aueFXvM/QvtB+gM/8JKfZY483f8b/vV6veF+tfb3jS2bG0B8zT/bRyPXRRx+NTqdTyMH6hb+yjvrHB/8a3FI3srAPt1/bTNkSw/Xc5z43rr/++njOc54T//iP/xgf/OAHIyLiG9/4Rpx99tlbqXK7qABczFw4AJsBcbaD0XkZxpudTW/jvOzYuQYjMKLPgcLtuR8R5aUfFNcsWGYByBBwhmaBuMeOiKzIgZ5A4sP8zBp4CYv+mumgHf72+8Uc5Mx+mGVzoMtGaKYPGdrpm7XgM889zpLCnBjYOlCSdRkU4oAmJiZKYIXTrMnsDAYNut3/hYWF2LNnT5E1e+8bwMd64OVlO37mxYHFTprAR6AEABnQmP2g3+gG4Ix6HADRFeRNHwDuXmLhAFlvhO52uyX2j0Lm78TJdmE2wImN55gxOLDaxp0oDIfryy6u03Kl3UajUeyrNCNl0GiZYy8PPfRQ/N3f/V2cOHEi9u3bF9ddd13Mzs6W7A4dw8YbjUbxYI3ty+AQffecEZSdZLpOlj/Rc3/HPdgxT9SZ5cv+zfJxH+x/aMf+iPaRF3OVWVzADgkYoIFjTQzuKfTdb65AJk4W6SMyxDY8XuTsRIG+I1+SM/s3r46Y9cuJa07+zfxlH+6kJvuXquSXv/2Er9nHHPPo+8x335E5HA7jnHPOKQEq2xJyZP7MVtuWmEf7B68C2c42U7bEcP3xH/9xNJvN+NCHPhTvec974qyzzoqIiI997GPx4he/eCtVbpcoU/P+zMssTDRIPS+xEDjz/go7NAMQO/XMmOTsOKK8DyCzPNRLVm9WhaBksOcgnoMexuWgglE7aNmgcQ4Ghd6H46UI6uZgWB9eyZi414AgO5m8lOdx21CdDVqujMlB1syA2wIM4DQYlwM5c8/fzrTdZ3THgIG5cYZvUEp2vGfPnkIOzAvLTvV6Paanp0tZMeM2GENPDL7NNHCds1HGarDqebGcmEPGwwZ/gh9j9v6ziNFZY2aI2OuIzLxROgcNO+8c2BwwCJDImGDs/qMnBt4Z3FuXDBLcXpYp82h7dv2A85WVlVhcXCwehHr44YdLL+t2gmE5MEbbON+Z0TEblUGpWUXk4wTMY7Rvoz2zq8gsM2xehjL7gwyZRx8Bgm2Y/bS9ZB9iBhBbM3PixMNB3jbJWFhizwcz46uwfeaV7zxHXoK1LA366I+XkOm39cbgq9frbbBF6nLi5uSM8XkM3p6B7ed+WYcAXU7gs11mps6JF/aKX8g66n2Cedwe32bLlhiuc845J/7u7/5uw+fvfve7t1LddlFhck3zD4fD4mwqr18bpNTro/cNOtMy62Xn6kejzZSQ2eSMCCBnhaX+iHVn0O12Y2VlpQhGduQ2AAMVP3mDspvV8x4XmB0HPztf9qvhlJCRv3f2FREFrW8wlgFmFXvCdznrtMH6wEHAX97bQb1eynTfmIdT7dvJAJB6zAQg77wUl8GWdcuZHQ7e+yMysDsVsMiBww7UDBjZufvh7NtO1Uuh1M34zaKYnWXukRHyycvD6LKTBssVfev310/1BlzCCrhtBztnwbYD66JZC7PMyMxbAugX/TejYL2gXgMbL/PRBjJH1oDUs846K84999y477774pxzzomdO3cWbQI+DajQM/pBP+kfum+AlFkI7M8+0DafA6WBgdu0nuYnovF9k5OTG5gv5ATo9DJ/Bor2BWb0nTzQFoDJvsby5jP+ti6ZUXL/nHzYVznZNXNpoMf1Bh/ZnjIzbDY9JxhOkuiz/XNOQrzn0Z97nG7PL7K2fuM7+v1+tNvtEpNo20YOBnPM22AwKOKWEzdWBDxnjJljKZ7Ixvktn8PV7/fjb/7mb+Kf/umfIiLi8ssvj5e//OUlp7NdnlhBCTPVznfOxnCYfOeMJKL85J8VK2JjFoki5uW8vCnWSwNZ6dmM6ad+fFaXnVTExhdu0xecnzfzmsUzw5Ez0+FwWJxC7/adXTIWAxnAkMGRZeTgn7PfwWB06rIzVRwehbmqOhqAwJLBHf1dXFws9po4y7Q8/aQU8rVTZSz+H52xHlnOXM91llNmr2jTT14hX8+tl2Gq+m+g7/bpmzfvOhDlwGWWwT6JfvuAVssauzIYsBNGb5vNZnEGlA9TdD3ZriwvdDzPBbJ3kLQOenyWlcGZ2WvvVbFPMBi2PqG/gIZdu3bFS1/60lhcXIzZ2dnYtWtX8RAO9dA3s6+WF7KxHEj4PDbrKHZi3fLSl4Ge/Qj9ycuM3tNIX/nO+y3RGz4/ceJEzM7OxvT0dCEjz4n9hlcJYAIJ1ARu5sn2aXCS59QMkBMRZOMxOdHBVrkOP8XYuY5iMGQ/a8BqHSZJYo8l8jLQZExO+E0o5BUJ94H369qe8nKfj0Oyv83MnPel2rcYSCIvg0Huxa/lJ0TX1tai1WqV5Ph4ZUuA6+67747rrrsuHnjggbj44osjIuId73hHHDp0KP7+7/8+Lrjggq1U+wNfsqO2kzIIwBBycMy0Z5UTiYiSk7PzAnygaLBVBjlWSq5H6dl34P1FZkYojcboNHkMy07c+7AMMghSzqYNIi2rHKAGg0ExHmfMBqh2cJ6TiPJj95mZMIOHc2UezPRxvzNT3+f59DzNzMwUsshgxO1nwMwceUxm43BMdrQAR8aOnFheRU4ETDN8dlYGLAQLAxOP1+NBVlzL5wAlAksGDXbYVU9u5SyVOaU4wTGDhPysL5mtWV1djWPHjkWr1Yrdu3dvYBnMSKDP7FtkzE4MLBvrKp/ZtjOL6B+zRLZFL8ebTbHfAAC3Wq0444wzYv/+/aUlTSd+DuAEYYN7g4aIjW+hgFGkL1znBCov9fqpZi+dcq4YdpRty2DfoNxJDt+PjY3F9PT0BrBgf0ixHRhY2l87AfIDKgZg9jH2Y/bXJAyuPyevnnOzg04SrefdbjdarVbhw50MwPzkxMVsrzecMy77YCelFNuhmTDbGnpiwgBdYzzWF+w8P0CVV4WqgLp/A+Lod2bckfkTLVvaw/WGN7whLrjggvj2t78dX/7yl+PLX/5y3H///XH++efHG97whq1UuV1idPaPnSGKAv1qCjQDKzs3K1xuA+OOKD/h4YCSQR+fR4wMxEGCYueG0qLw9NnMioELjmd5ebnksABLDhCM3Q7VbBXFBsSSXGZ9DE6cNdbr6+eLVWWdOEzus3y4nzooa2trsbi4WBpTviaDauRHIOEa2sER4OisG973klk3Z8S12vqThydPnoylpaXSWO1cJiYmCsDLpny3Y/CEbtFODsLIgN8OBrSbwTZjJhjStkGRgZsZGwMoBxqWHwCPmXkgM0av6Jud/MMPPxx/9Vd/FR/72MdibW2txAw72JklMFPjfTxmX/KhnYzFyxqtVqvE/lj/0B1n8v7OCQPzzdzSx7GxsWi320WfnPgBhBzEqMdzik74f+bBSRfy9hKfAy225/nzPPhVT4A/Ejn7GAdX+uwlRWTWbDaLTdh+kMMJDvaPXts+7XvQKfsJywY/TB+wNYMnbMrjth+z7puZyTJ0m9gVB86ifwZOFNdjW8jvXXQiiw1kn1OVtFpfnWDZH7sNx0LqZU74jHPS+MzbSrgGmTEH1OOkHlnSd/ul/+kM12c+85n4whe+ELt37y4+27NnT/zBH/xBPOc5z9lKldslyptbbdwUOzUrmGlmlMR0ssEYmatZJx/mxk/eq+MMEaNE2chQc0Chnw7ydl4TExMFJeu9OnZOOYNxkEYWHh8vHXY2mgGpHV7ee2OGJLOMNlTGgqzMBDmT9r6yiCiCFKCTz/IBlPlMGGertVqtlImSYTpjzoxKZufyUiKB31m2gZH3Opm1Q4cM/JAjvx1YIja+4Dfvg0FfDBgBFZYR7wPNQY26PQbmxoEaGZkZQMaMjT2DdrI50M/MzMQFF1wQu3bt2sBCOfhl/TLr5HHCfmV2yHJ3EpSXZgxiHSQbjUZps783QluvYQjQF1gr5GimynZu+3CfDPSQyanYOoPu/K7MvNnfumLf40CYQZqXm1xX1flLLl6qpY28n5Kk0J8BXJC/l6myvRgE+cEY5oP+OaHBXyMrvsuvX7PuWebYI37YfsHAySwa92YmKyc3jN2gn/m1j7VfHg6HxfKrdcIAkzGxN8732WdZx7xE7c+pEznkZNnbVigeiwGhy+LiYrEM7bIlwDUxMRELCwuVjZDdbZcnXjBICgZj1E5xJpPryI7M6NwbD20oXjpkOdHOnvrykqGzUWdiBju046BJyfdZiVla5HOudyaKLBzQaL/KuWN4Bh8ZrBl8sjzooJ4P1czMk51Hr9eLXq9XnHTsDdEUQJrnALDmZUQHN9peXl7eAFjQlwyy+JuM1EC42WzGzp07C0eWWR3az3t0rJN2Qu6H9Q2QGBEFk5KdKnU6c7Ze5TlmDrzfwyAX+fI3fTJ7ZJ2kvQy07FytO1NTU/FjP/ZjJVbOANWMTO6Dg7VPY/d4DfyrdN17CzPTlNs28Gfpd3V1tdD7drtdPNyR2SiDfsvD+oFPqkqWvDzTbrdLjIfHAxDG3+BzrIvYMvLI9uxlcdr2tgYnmQaeBuz4SuuV53VycrLwk7YDkh/7QPps0OpkzvvrPBbus84Y0DJWPvPrnUiU0GMDaPusrKsG0sjeNk+y52VF5sXyzIlJBp7WCza44+9oz+2iGxlM25cyJsdB/IyfVKaYpfRn3AtAtl8xEHMcioi4+eab41d+5Vfirrvuirm5uZicnCz1bUtLii996UvjNa95Tdxyyy3FJH7hC1+I1772tfHyl798K1Vulyi/VyyiDD7sTAA8NiKuNTiqutfXo2wGCHyOc8F4KDYuMyHeLM8YcPSZRsfp5ADl4ENbWbn5nD46IOZNnLSJPHEGgAkXskrvh7Fxmj3J48LpWf4Y6OTkZExOTpY25lK/KWqYB4IbfcbY+cz7JnCydnzImKBJn0zZ2wEbjJrNZKkNWULNZ3aAvw2acVR2hnacOFkHRvrLtSwHWMbMrZ0185HHZYCVGTsvb6NH7EExsKfdLB/adqLRarWKDNvBzIEyg5VsV7QJo8MYqIdH721/Dh5VCZKDswMu11kXGSvzUvVjP5OL9R4fQFuZTV1bWystS8M+0nc/QID9uR+2W/sd5OU5Xl5ejvn5+UIWBqL4HTPMEbEBhAwGgyL5ol+9Xq+kLwZxjNW2Sf32LdZTM1hm+QweYcjdD+73i8utEwbx+LEqdhP/B6NmkOE4YYbLeoyf4eBRt2cA7b4b1ESsv9UAX2D5O1lhP6m3ZHjbit+j2Gg0YmpqqrRqhPzzdppTrSZZ16xzjIs5eNrTnhbPfe5zY35+Pv7yL/9yA9iK2CLg+qM/+qO44IIL4pprrolWqxWtViuuvfbaePKTnxz/4T/8h61U+QNbOLE/onyAnANzRvrOUMzikH3gcPLTZxEjx2cwkg2B+nCCOVhmEORMzAHB/QNYUT8G4LOHzBB5KSczJQ64XuKg2LkRFB08uYb6vZmbPo+NjUWr1SrkmOXGuDBUxhIRxWsoDEbZa2PA4EML6Z/BqnWiCvQ6eHgZmPvyHhr32+DQDAjX5D0SGSwyVthQB1uDRDtj+opjNwOSlzPNzgEIuAYHSclAyICTesxs2rla/6gHUIn+GCCR8TNHzpoN4szkYqsGgrYr9sF4Xgzgve+Me824oDNe/jEr40Nw3VfLwSfnE8DcHwdlZJyBrGXA58gqM3XZt5ghcR3Uy3x6adNL0/keg9FWq1Uc1OsEzYkp5xrazwDwATk+QyqDe7YFZF/CODPjlv12TiIM8D1XyMlJo+tBzl7Otax9nZMl/LO3j5AYwYRajxlLTqYpy8vLJXlRpxM2AKz10vLEx1l+nh/e3+tkjzFYHwBn9kXuv/tt3+HVFPtb2nGijU589KMfjfvvvz9+6qd+KqrKlpYUd+7cGTfccEPcfffd8fWvfz0iIi677LJ48pOfvJXqfmDL4uJi7Nq1K97//vdHxOgpH29IzEGMjIkJ73a7pX003uRnOt6K4k2EdtbObCPWjcY0PvVGjPZMRIwYDTM/ZI3tdnvDPgDqoj2CKeOjT3b2GZTkrMl9MXAlCzVz5OUOX29HnWXN2OibAysyZQxegjFrQHs4MMAYjrXT6ZTeGebs3ksv6Ijn1/veMnMJGMtzaEfDWCNGS0gGdAbtVZtHqbfX65WCPcV6kcGSmRj6lUGmHajl6fuor9FoFA7W8+1xG9g4+TDTQrC1DTJnDuh5qc9gN4MBg1l+vLcM3ctLWg6mjD+zOwYK6AkFhvLw4cPR7/fjoosuKn2fGR3vAwTook9ezqLNbPtZ3hkUWAbUaQbCepFBhFkl6rfcsAv6xWckRWarDYCQK995Ttwf+x37Vj9Ugh7QXyd9OcgjZ+um2SH66eV+J4yZGWS8tGGAQh+YS8ZQ5bPYPnEq9j7HAPQYv4suGpDZPzL2DApzomX/4v2/BqVOGu1HTCD4wRIANLJEPywfJ6H4bcdk20tExNe+9rWYnZ2NxypbPofrP/2n/xTvfve745vf/GZERFx44YXxa7/2a/HLv/zLW63yB65MT0/HJZdcEm95y1siohxoACIGRGRR3kCJMkeUX3FhR43xEgyd8bMe7wDb7XZLbAN12+kAGrIR2ZEaiETEBkdLXyPKG+pReAMllN0OKGIUsG04GAvv/DMFTB+4BgfnjNT9J/OlHWTDtTidKiYwM33sI8HpRkQBCGu1WrRarQ1jYax2QBGjJU7vLyATZ9M1QTGifNimnQljzxkv48PxZgbUoMbA1Kwd4877I+i3ZWTnhS5mEF0lWwcOz4frrNVqRaCiP+i6+1Gv10vvF/VeRQdJ/jfYMEC3XSIrAhuJiPfIWY+Hw2GxDxa7p9/Un5cs7TecTOWEYW1t/SlZJ1H2OwaQ1mkneAYPBHWDpJycoC8kCXlp3vNkQElf7AfYG4X82OOJvhB4bcdOFAwwKdb/bCNOel0P8+Mx4lMt89yOQSOf0QbzjT7g45kfL/E7WXY96AP/O7EbDkd7mWjLiRzXGjSbWYOtsk253WyrjUajOBQ0H0DKdfYLTkQjRvs7LQeWTH2uJMlAlVw9dsdFJxSODcSYnNx7Dnw/OusY/HhlS4Drd37nd+Jd73pXvP71r49rrrkmIiI+//nPxxvf+Ma4//774/d+7/e2Uu0PZPmzP/uzuPbaayOivNna+wBA9EbW/Pb6NAZiFsmBGYeDU0BZyWQABBiZN3NHjB7zj4jKQGF2jusJXF76MJvi6/jxfabS+W1Ww8HPgcIsmVka+sY99J+MZ3l5OZaWlqLVasX09HTJWDOwQpYEPa6xTJxlm3ExFW0HSr+ZP5+Bkx00beF8vCnVDjVvRCV42eE4mGe2yfNm0OpAb+Dk98dlR2hmMztpP4xgZgp982ZkgvDa2ugJqwyi3Y7lSp3WNfrBT8ToCUz67ae3HDgoljH1kugYNBNErHuWJd8RxK1/yN79IBCZCcvAN2IdKFx55ZWFjB1ouD/bhv0HG90zY87YDZgoZmIyePPce7nKukHJwAf5WqccnLnewNgg28y6+2rfiiyo20leTlosZ8ZkVsZL0y6+zrrrZNs+q9FoFA/K2N84WWo0GkVimOvNgConL9Zn67WBP8DQdQLKDNzb7XacPHmyxEhRH/OTk0AnfOgFIHswGBTvuLV/pdhPOlkxO1uVWGSdtG3mJM9+sFarFU9Kb7ZsCXC95z3vife9733xsz/7s8VnL3/5y+PKK6+M17/+9duA6wmUa665Ji644II4fPhw8aSSnQgOxC9udXZhpfSynAFMRFkZI8qPmTsryeAiMwoZoGRwZaX0hmGudRZKcfteHuXRZjs/Zx/cC2D0GOywcwbvwMd4qbvf78fc3Fz0+/2YmpoqzYGdOg449yVnRmSWpuUJbmbTAEcGnywp2egNVA0sMsDMANxO13NFvVxDgb3CmTIWCrK046cNZ4Kuw6DHTjOivNzMURoGomZmCWBeOnKwMOuRnbn1YTgclg7cNNNgG/BykG3IffeylW2MTJ178x4oBwEzun5C1/PhgF2v16PX6xV6k/XQiQvfM1+WE/JwYpBtxvNh3bI86LP7Yf2jP9hP9mcGwv7boC7308tTOQnw9TlJMsDMS9n0yWDH4AS98pEBts28MR+ZeL65Pts895HkmpHKqwP00/ZbxYq7bfslM9XMZVWyY3DuWGB21eDXCc7ExEQsLi4WYIn7/aYH12t948GRXq8X4+PjMTk5WfJZTv6Qs1ljP5WKvA0urZe5vuyrGF9m0zLoe7yyJcC1uroaz3jGMzZ8/vSnP73kJLbL5sq73/3uePnLX75hz0zEKBDZKCPK+xdqtfXlKAMcHDrKkLMGihWRHxA7TymSpXkjLd/X66MnfOi3H+f3Y8kGOXYOXmowYDEgpBD8GIuXEhxE6Xt++seGZGCAQxobG4upqaniiTP6h9PJMs2OD5kaTCEDU/beG8M9Zi8ZK8EpZ9TZWTMfBneWpwMC2agBOwHET4tyvfUlg1pABWOgfgeIiPJemWZz9Pi6A4F1xH2lLoCDmVTYtMw60B/LlX4wd04QDEid2Rq4VwUdy8XgwDpP3/v9fpGh03+zpq7Ly/DWN/rLmFhGtu4gE4NJ5MGcMzb0C9v23reI8tO5yB+7ZWnPDLN11ElEtnlk4Lny35ldYGmK72F50A+fS2dGyUvfXO95tz/IgMV7mKyL3m9lm/d+P7PFvV4vGo31Byy8l9JABpnYJrBZg2TaBZw7CXByWiXnzJQjV+uV7YPExw8MOTGxXdhvO4ZwzMjS0lJEjPYKes7QH5hq6lheXo5OpxPtdrtgV+1DnTgBzpg3A0FszMkh47Pcc2LpRN7H+Xgp22z3ZsqWnlL81//6X8d73vOeDZ//2Z/9Wfyrf/WvtlLlD3T5Z//sn0XExldMDAaDknGbMo4obxB3xh8xCgDcy2fUYfDEtTiTDCzcN9pyhmYldoaRnaqNwmNlE7L742zEDtgZSr/fj+Xl5Q2AEbDkJ8XswB1EbCzN5vqJ7tPT06UnaCxzz02movnbLJ3HafaCQj04WI5C4N4MFnC0OHDL0tkZ43QwNRggIBukZDDpzeFmB/ltx2tn64zacjHAtvO0jHCeyDwzQAQWO00DQuzgVOetOYGIKL8fFHtD/s6C6b+ZKXTX82Pwxn3U56enqIMlR8vVwYBxWqe8TOq6rEtcC1NsUMFvbIUx93q9wkaxCwOOnOkjE/TMtkCfCKyZQbW/MDiDkXMfqYt+Mm/ev4MM8zxhBzyF6ToBYNY9JyYG1yxrGUj7Ho/DT74ePnw4/uIv/iK++MUvlhihlZWVOH78eHGEgn0LsnVyY98B2+g4MBisn8nnTeq27cwIGoigQ4zBeuykxXrv+WH8fOeYBJCq1+sxNzdX6Njy8nJ0u91YXFyMhYWFWFpaim63W8h4YWEh5ufnY2xs9HqlnDi6fWwEWdlnMf78HfPP2LiOuh2DLGfmKMtjM+V72jT/iU98Ip797GdHRMQtt9wS999/f/zcz/1cXH/99cV173rXu7baxA9ccZbogJufIDGgcUDwEx2wNaz5Uwyo/D+KaydihXVWn0Gh20QhnVWhnF7Co+8wPX6dCGMDvHBd3pdiY4soswHD4bC058cBnr0/0PYOirVaraC+IzaCEOYIUJAPHo2IUkaNHD1/rst1ZpmTAdo5kDHPzMyU+o4DdkDPgNDt+Iw1Z8ssFZui594MPtAT7xGj5ADrBz1ysDDgdNJgIGOwadBkJhS5ZkBPm+iQH/jw/jtn+k4csn4jdy+DGnDaPp34TE1NlQCM9TT324E8+wPrIPVn4DAYDAr9Z27tHzwnyNibwek///MZ7QL4sXGuN1ijDZ6C82G0Bs8O1ktLS8VrrAzgefWMfSHgAjYEv5bngjHbPgzS8/x5XrPd+D7as3xtb4PBII4cORJ33nlnjI2NxTOe8YxCB9fW1mJqaqrEXhngRYwSE7PY+aBVvhsOh8U+KZ8HZr3Oy6/WUa8SODmtYrWc2JHY4t9XVlZKdkNfx8fHo9frxcMPP1ycS8jREaurq9FqtYoDohcXF6Pf78eOHTtiamqq0DEnF2aFs++wv+AafAa+2kvftknmwqwsvsaJgX23/dzjlS0Brttvvz2e9rSnRUTE4cOHIyJi7969sXfv3rj99tuL654I8tsuZSYFBoKgmZ0N1/MbB+TgOxwOiw21Vgw7Ii/ZeNkwHzZqUBNR3jia6VWvofu9iGTbZizsICgGUWZz6Dv9oD0AGWMko3cWFzE6G8aZCUs8GFF+d2IOPm6bOrLzy+CV+y1LB2PGCnjL2S3jm5qaKhyaHb8ZLgMNL0P7Gmf59Juxogv02U7OnyEHHK6X+nDyVceR4CitI7nvXmaJGJ047+UPz4GDSr1eXuK2fFh683spAQG0C0C3btnODOI8x9iDs2Vk5gTHe//8QITlZlbBemK9oi2zhrZX6gRUOQkykPL82zY81/TR7ZkJICFARozdAR/7QrZmUPjf9XAtzJ4TBQdL5pslK+zZbVm3c0JJ+wYoZjdt3zAvnKvnJI7xmjWbmJiIyy67LOr1ehw6dKhI5JhrgHZefjczb9sAQNs/OvlkPAZhXo53QuWHADxHzJ3t2UCQOWG8yMD+kh++Z24nJiZibm4u5ufno9lsRrfbLQ46bbfbMT4+Hp1OJ5rNZuzduzdardYGMsC6aZ+c/7bfMnjyNokqdtPA2vciFy+5O35ttmwJcP3DP/zDVm7bLo9TWCLzngE7ITMreWNgNiwbkNkU7vXShDPbfMjdYDAoDgCNKGft9fr6Y/R+ZNlZHsbvJTLqxPGwHBFR3lOVl3zypnicP5svcwbm/g6H6xT+vffeG5/73OfikksuiauvvroENpET4z/VnjmWDPjbGY8duDNDZFivr29yrnodiLM2BzGM3+AVx52dRBVIdDvuWwYVdlIGbM5gHQS5x8EJGXlOuM9B32CCfjGf6Gb+jPY8Hu9ZJIhllsF9tB66zwYczBlByQmFv/Meq7z8bdnSdy9xMrcwP1VPk3Et/cO2kL37Y+fvJSgHKrOdvj8Dc8sZHTeoM3vhbQzc4yBs0ALIzUDGv5lv/JT36mUWAZmicySWu3btKjER2I7757mzvtnODV49b51OJ/r9fukUcYNC20W9Xo/9+/fH7t27S+CZe2zD6ANMkH0ov/GPBuXe8J7Bv4GZgefk5GQxZva72gcyr8jCAMs+1/XbV2J3tkeDn/n5+VhbW4u5ubnodrtFG1NTUzE1NRUHDhwoHeJMvzKIRtbIbnl5OSYmJgp5OLlzXVk+1kPbX05ksRvPuX3BZsqWlxS3y/+cgoExkSgABkKG4idkIkZZiYNW1ZNApo4jyo/GRpSznWw0ZqpQRhgXOw/qsRGapqd9DAenYUdiIISTrGJW/L+DF78nJiaKfSkPPvhg3HbbbTEcDuPqq68usSpmSJyBm7HIsvP9DmB2isjeIMsg2s7NAM1BBkBskG0HZvk4sFAy+DDwwqG4bebYDzxwD3umHFydfZpNcv3010ciuD3PI/JjbMyhwa2ZX/TH8rUeZpkimyqHbFbLYAVbApRZZ/L8e+7zPPs7vjfgow/2BQY5fE77ZnKz/XG9EwKDN9r3WLBRB08DXvSf+6y71nuDeuzP8gE80ha2DjiKGDG+7rvl1+/3Cz84OTlZqs82kYFA3pdmVpm6s99kjnjfqOfd8s+sawaGBnEABRIxEj5YPG+JsH65DuomUbdO8z9zzbyZAc5PW3sVwn4uA9F6fbSEaJbtVADW4Lbf78e9994b999/fyGrXbt2xdlnnx27d+8uJc/ce/LkyajX11+V5j6YHGBvG0A9PxSFvPOm+ojyXk7mxnNm4MrnjnubLduA6zQrKJCXxXDWDm4ss3iDsY0MxbFBOLjhHGzA3uzpjCBitAG8at+MHW1m01BI7mOvlgGfnRcOwOxOxOhJQTtq6jPr5WAJBQwdf8UVV8RwOIxDhw6VXr9jw/P/GJ2X+gw2IkZ7efzEi8GrWYW82Z2SGQEbsMGOQVJmCzOYNpBGvozJ90RE5WeWufXSoMZP7jiTRRedzbvfXho0W2vQ7LFSDwf3OvBgIzmj974X6jbDlgOu5wemgcBhoEbQQg5mlhuNRglguQ9mGHJ/vI8SuWcwkhko9j1WAVf+R84O7AbE2T65FzkSnAxQnIjwv/2DQRvjy3vFDEqZPzN13G9fgpyGw2ERWB142R+HbAeDQeldjWZxDLKxcfYRWZfQcQMUAj59cmJoQJkTVOpFBwwW7UftX32kSGZ40H2eFEUmPDzgc/asq07Qs96Y9bLdoJ/Z/r3txHVltsj19nq9mJ+fLw5Mpxw5ciQOHjxY6J19F20zV27DfsUA0f6czzgIu16vl56QxOacYOXknsL1JJ7EmM2WbcB1GhUHUR+ymJkcFMBLgTnoeunD69Jra2vFU3wOqDglZ77Omg3icKQ5qzN7AxtAEGJ/mVk7lDxn3VZ2fnsPl09QzsEv703gnlptfbnh2muvLWXRtFfF1AAabPAGBzZ46rSTxjnYaWLseaN5FSAy0+ZlK2Ti4MhnS0tLxXIHskEWmbmjr55vAyDLMQdTgzUHCj9hRmAwg4lMAGX8zfxPTEwUgZK681EXZm+4jv65b1k2EeW3A+Qg5Kc+M2vD2G031k+OZaEYxOU9NQSOWq18CCr2zveeY9uil7XRbcvHY4wo7wnKAD3rgpdkDZy9P485sd26n9YhAwUfW2Ig7WDpZAN99dIWdTnhIwGlz16KzHUjn7xVAd0wu4sOO5Fzv3Li6KX3nMh5rriev12XwYL12/IyW+p9XU4ebOeeT+bf9o6N5gTaqxwGP04asAtiDn0z82Omqd9fP+ewqpjppFDfjh07NnxuoJgfqHLCjtzQQQCpkwGPw4lv9lW2Her1+5Afr2zpWIjt8j+nMOFLS0slI7Rzr8rubaxWtJyJEjAwLi85co0NisCGUTYajeIxctPmDnacNZPBIQYJEMvLJ842XTfG4QzZfXQ2YgDioxeof3x8PKampjYE7AyIHDjsxDE+BzcHUhwTJTMjOJPM3tBWPm/LDIt/zDYQ1BkHp5ojK//tZRsHA2dr9IW9dXbyWV6uA2APcwKIwTFlhsNP2JEIeK58DUGS/Rmec5bkLCcDYfpwqkM5Pd+ukzFjewR1npazHDxX3APgxrGb/TD4NBNjUGjg5b7yPTK2bLFfJ07Iz/dn3UXmBuD0d2xsrHjdEbo/NjZWOhOLeeH/DLbMQDgYW58NcP1j5sT7ufyULf2cnJws2bLtB5vlWAXbNmPD/s18+AgSb+j3vh0DkryBmvq538CXNhiH/annaXl5Oebm5gpGEz1zQsd8ss/Tx8Hk5Wz7JCe6EVHSb/scznvD91t3GI/l5HnDj+BTdu7cucE/R0ShZ5ZB9se0Zbbass6JtH225W/fadbYSZtXgOz/nUyurq7G/Pz8hrGcqmwDrtOoYAjtdrtkqCh8DnQ5G/DmVww4YrQ3hMx4cXExut1uaamS7yNGNLKZDtbEcXruD23VaqNziTBwswSMB4PEsNbW1jZstDboqnqKkZIzQmcz9IuxMA4MkLocFJytUR/3sQxgh2Rnuby8XNpAaweeM3jPD8ZvVtOOxhlXFaBwtnrmmWcWTtNAkcKj485y7Vhpw21bJ/J8e56qqHyK9dig1QAVJ5pBlR0wn5utAMBnUMf1bseJipcHuNbtci0Zru/JCUcG7n6RsTeMm/3J8mN/ZmZHnLTYBqz3yCmzD7Y924gDYEQUQAT9N5h0tr+8vFwsdRmEeOzUa2CFzG071j23kX2d90yZafD9ExMTxZshrKd+qAhgbx01mKB+98X65gTA+mQ2Lfs2xk17+AMno052sAODu1qtFu12ewNgo50qxpC6vL2B+vL/+G0ne+4f19tWWbrEnplDrvXyuuML83To0KHSqsWTn/zk2LFjR+k+99X1e7WFzfLMr5cv7SeIXVmfDbJso57P/NSowSgy2GzZXlI8jYoVwOAAY7RzBl1b+aqMxQHMJ4mbvXAWZAdHXflx8Yio/BvHikJ66c8/dlYueUmRvhlkOHiYRXBf7EzyspsdvYNfo9EonVtEcCDI5k3CgAOzC4zZWTtys0wZHyDTzjnLjHFbL6rYEMbo/VGWI47DS1eWgwOMM2fG5QcSMouRKXlKBv3Il/sy6DO76aeAqNMHaNoOzI7wt8fvJIQ5NJvKnAyHw9LJ2gYw/nswGL3bNGffMBJcn5c+zHBxrZMeljic2DQajej1ehuetqMudBQg6/+Z++FwWNRBn62T6I2Bs/2D72EuLP+8PGzfRHI3OztbAoEZPHh+nFQYjKJvTuCQCTLjPYLe+pCBsf1XZoCYx8ymOyHJOsx32XehK/TNNkef7RPw+2ZZKbRFfz1HBqle2rPtuF9cx7gsDzOOyMAgNmKUuOXknpLjFf3n1P2zzjordu/eXejn9PR0Mc+tVquUyDqmWG7oRLvdLmInc+K5qtfrhb6yncM6g0zwvyQjZpczwLesZmdnY7NlG3CdRuVUVHFEeWkGp+ksEuW2M4ZatoNykOPv7ISoz0DKmZSXsChu04AKRfZyWQZe3vPlPWdmnjACB/wTJ04UbAKAwo/fG5g4M4kYAQ6zWt7Emh2+WSE7ycwyeh4tZwCHn6gbGxuLTqdTWqoxyCbzpG0coTM9gwscpB2yGYYcrJgXO1fPP06Z+Ta7YKccERsCGPv2DFSZa4Cf5xYHilx8vImvoz956RadYeyMrV6vlxisRqNRevWTGUvPaWbYXC/jNeih+CEW65BBhfcQOVCYtfSyoNtEZz1e5O2Ex/Uji3a7XdwPC4Bd1Wq1Yl+W5x4AwHVmm7nWS6SMAx2zfmEHeVkRP2VdtY0y317G8z1ZF/EHyAK9MpAxiMhMP3KzTtgfM585cbSd2Rb4H/s3E4R+2g9XJXjWD/wCLI7Hle2F77ONMDbrrnXW+uPY4aQkA23LrNlsljapR0TxTsXdu3fH7OxsIYvBYLRH18ubVXrG3Fs+3q+IfPKyKHtDSWDsU32f7czxjx/ihMGqQfbjle0lxdOoOGvLmZKDgJdE7GgoBh3O+AlgtMOeFNpjaSY7BJwV7UWMHsE1nW12hWzFjBFGagPFaM3Q2AhxhHYGKHmr1SpoaJwQ/ceY6E9E+XBAsw92TjmbdaCMKC8luU8ZQJgFMiiyYQPgTMnbWSA75A6jFzECW+4/c2rHRH0R5eU1ApE33FKX2Rm+zzLwnNs5uQ2fpeMglQFkzki9V8UMhgOFN57zGd/b+QKiccz1er10jpnH4+BuYMKyhZ/KcuZrm/RmeYMj5tdMB+OgDc8lGblZTy/zZzbUduHxIjs/xEE9tkOPl3553hir7dEyQ0/MAlBfq9UqWAsDoezrrEvoOW16byoJCtd4zgAEmb21H7RPZfy8jcNJGDaI37L/pWQdyL6tVhux3vmhCid79v8EdcZEXwyu/US5WTj7PwMG+wPv07PeZBnZB6BzzDdj9l66zPTii2q1ddZxbGwsDhw4EDt37ozp6emYnZ0tDnNuNBqxd+/eaDQa0e12S/4ogyG3gW54NcLxyzrqMVluVbaDjjsm28dYb3P8fayyDbhOo4Ih2/Ha+J1No2R2/gY5ONm8dGCj7vf7pSfCXHemhG2E2SHAwhjQYKje1Bwxyh44d8aZggFSo1F+JZGdGgzBzMxMKYDYAOivwZydoyl2Z7v00RmNv+N7Bwwctx089yN/Apj3VLFvxllsRES32y1kz34sAzOuM/OEXPPTNJk5sV55Xr3Z10sVXpbIbB51IyfLDMfuth0EmYtmsxmtVqv0AAeO3E6N896oP7O2MB4GIG7PG67z5mvsxsskKysrJcaUc57MUjEOgyuDkQzg+QEImY2w88/La9ZnA0wnVk6KGDsMiOcauaGHZsA9nwbGee7sCwyUI6LwJ2ZjkQ0B3ctF9kVmnXlQpgosZF+CzC0Ps/+MDXbaQMN9AuR6C0W9Xi+egDSgt33TBuPCH3k8gOoM6D2vBsT2Kegl4Ma+jmtIls3g0I7b4G/HDvuJzOAalJqFctKJTzbYof7V1dU4efJkjI2NxRlnnFHy2e12O2ZnZ+PgwYOxZ8+eaLfbsXfv3uK+HPuYW8CTgR76nh8W8dxjd9a1XJys5phhAGt/U7XKcaqyvaR4GhVPnJ9EskOKGB0b4adtnOVj4D57xlkZdTgT8/UoU0R5Yy9gznUNh8PiZGSzIHm5M2LEShjYAXycYWBUdkg567XD8ZhsmDg5DJM+uj1knbNFgobbzhlXdvzIzs7bTqjdbpfGwBir2uUesj/m0E6GdhyYPdcOcvTTQNTLK26/6tysHJRpBx3KB5OagWBOMiDLjA3zR1BxVmnZcw1jQ170PbMtuT/MJ0wX7aD3mcEzO2EGiHq8DGe7sG6azfDevZxlW74Gq/zu9XoxOTlZYslyYIJdNJgyC4lMzb44wGadyDbAeDnmAV9hGbDsYv2u8h3WC7M5gCADh3p9dH4S+pAZDScjfOb9h1mXLGvvAbIsKLQ7OTlZOt7CesZYYKEyE2J99cGunke/o5Ix27Y8zwZ17CtEtrYj+mH50W9+ZwDDfdSBjLJeet6QAQzs4uJiNJvNmJmZKfxVv98vHSDL+xJJLFutVszPz0ej0YjJyclSAmc2iz73+/3odDpx7NixOPPMM0vMrn2f/YtJA2wVkG/m3Ik+bTMu+vdEGK5twHUalRzIUNyIkTFWZaPcg4O183DGxHXUiULayTgjM7Cp1+ul9zLiKMgqeHVNforP2S/tZordAdhGm6nxDB5teBmAeWx2EBQHGQyXgEDmYll7Iz19dSaZg62DkjN8sytVjgsHAhiCMSCQoCcOMm7XbI8ZCTvqHCB4hxljwMHzt5d0POaI8tlV7n/OkF2vA5PH7nqZI0AUekXwNBjwHPt62mXuKHmzOHJh3gBnPqDWNmNgb+DjZMfsDQmJwTrjNpNikODEoV6vx9LSUnH/2tpasaRvOZnJqkpQuMZnfznjz/7AYAQmllexABzxCR4T9aKnBvbothNEz6GZMS/t0C/ACOMbDkdLiE580E18De04sahieHJi6T54SZHrvacN+ecHZ6zP9Xp9wwMQZuqcJCLPiChWBDzWDED5mzHBWmMzGaA6cbOPYyyMi3FkYJFtgXmJWLf1TqcTk5OTMT09XUpUpqenNxyfQZvM3czMTCwtLRVJkRlvM8De37dv377Se1fta6xj9M/6h9yZN2+ut637aXrkUjWWU5VtwHUaFQyaSTawwGmg4KDs6enpEv1sMGRF894srneQsnN18IwYBSyMzkHbjID3APA/wMTZfNXG27yx02DBTBMOtgqcRVQHRNfHZ8hhMBgtvbTb7RLQs5N1hj45OVlcY3BisGmw6M+QZ7fbjfHx8WK5gn75FUCcLeQTsz1PduoAp6qnnpBfZkKog82tFH9XFaAsXzspZ/IOIu4D8+ZDe7nHP+gbr/VBh6mHPSzIiSDJNa4ns2M4SLM7g8GgdCCwH1agDnSAYMaYnQgY2DBeB6qqzw2UMhA3Wz0YDIrg5UTKduc2nDxlP2K2j+u9cR09MuNSdaK2l5nQPwNa9NVPSHtfoMEXvgB9sE8wS8e99NsssBlO+0/6wDwagDvBNFg0ILHvo63hcFgEeH/vOl13t9uNTqcTO3bsKDGkAAaDJurHn6MfjhF5rriHvsPmcDYX/7sdxpj1lOLlO+tm1dwwb/3++n7T2dnZDUmLEzRinIEthSX8paWl4v2Yea6cJDWbzWIFgTmibsaNTHIC7eQGO+L9wdYB7HBtbS2mpqZKSedmyzbgOo1KZmnI6O2geFn0sWPH4v7774+rrrqqyHb9ZFc+NBLKmX1RznSgU3E4po4jNp4ZZYDDPqQcmEz5Nhrr+7G8TGTjsvNzoIwov3LBQM4Akuw7omyQuf4c0Lnu6NGjMRwO4+DBg4VhmTHwuAGMgIhMw2fHg2zoB3XT58xqAQCrnAAydsbvDBq2IYMkAwE7Nv4HcAKgDVoM3M08ZIaVgOp20AWfgZOBFd+xT8UBhL4ZIGcHXqvVSqee52SDdjJjtLa2ViyhY2eMB5mZ3WDe0THbhZfP+J5gOhgMCptrNBrFRmIDLP/mx6AB0GMQy7zDfPgYDS/70HfaA6R5n6YBxtjY6C0JABWzUJYf8iao4bOQnVlByzgzeOhu3pNGsf1YvrZ1xmB2iLZzMkhd3lvpRDU/8BARJbl4nyTy8FOlVcvEzCft2VcgGxJh++8MXu1fPD7+zomYv7McnIQMButvSkCX7PvsG+iDtxLk8eG/WAq0v2E5jjlEB4lf1IPczapy0O5gMCgdb5L1yD6aeWFOrc/ca9YSucFuWS+wQ/sYxua9xo9XtgHXaVS8kRFlIKtGWXEEu3fvjunp6eJ0Xi9n5MzKZ/t4mcdr/ASNzIaYVfCeBhSRc1Uiyi8vpU36z/0OahiZA7qdInU6AJrl8lvrvcfB99BulYNCZgcOHCgtxTibMxikPmeHjI/DLekfwdyO1IAIR+DgYGBtwGPwyHgd3D2WTP97vNlB4SxwLnznvQzsE/TSketGL52lGzC7z348H51mH1BEGRjjJL0PySDNsgMo5MBM4PRhr9hZXj43U+t6DBqQn3Xa4NWgmHsXFxcLFrTVahV6yW9kW7UPCn33ko3nEDuzznu51f3IDyXAapjtIVBhl+giNgHIcv+qmB3kbtDRbDY3LPGZneC+nLxZn8y2eZ69bJ/9HmdyVc2hwasTiQzisi470UGfnXjk1QPbO2dGoYcZMEfEBvbJPp37+MwJl2NFjiF8ZztChwBJZrBo28urTqQsS/SDh7Ss544pTlTNbLlPxEASDFjnXq9XHP7qeUJvmRfGVJU42+ZsSwaTESP/Zzn4OsBc1d7NxyvbgOs0Kpk2joiS8uFYarX1k4cBWxSCuZkrlM7ZYUT5UXgbrlkGAq6Di1+zY/bJ4ILvABkEVmdfNn6CDn1Gyb286L5hbO12uxgL1+P8MAjvtzB7YObCVHsGN84GH3300eh0OsVLVqtADfLPbB9t+PsMEH0/TmVhYSF6vV5MT08XwSnvw8ARUpxZW15evnEbEaN9g55DPnc9BggGtQAvjyMDZ7dLcSAx08PcmBnwa1aqlkEcKHHq1L2yslKAYhhEy8Ob9w3AvFzI31VJg1kb5qbb7cbi4mKcOHEiZmZmolYbvR6IcbiPyID7ARgGLp5X2MO85Ead/PjAW+bK++nGx8eLw0kNvt0vg0RsxeyY+5/76CcDqRu/EzFiZukrgQy9NSOR5ZB9iQES7CnAHdDI2NFXJ0EcWpvZPeud7Z1lr1qtVgANkgJ0MAM29A0wMhwOC530MquTS/t0ZDg2NlbsD2Tc3mNq2/cSeGbJDHj8mefItkk/rVcAKJZY7U8tMwNsgzsDN/s4zlTjqeHMSBo0ewwZCOXEIIMsxz3X4/EzZn9nG9lM2T4W4jQqKLCVO2c5OePy8qMVzRmQNwZHjJTNQcTf4TCc1VBnr9crgBhKSOAwW0Nfc1bPWDBagirvYDTLx1gdFA1iuJfijMrtOChGbDzWIQcX7vOTd/1+P/bu3RsHDx7cAKq8KdgA0cCROXMwzIDVABBg8MUvfjFuvPHGWFhYKDlE6HY7NcbgDaZ+xQWMpYMX/TS4MXvkYOA56Pf7xTJxdkp2tl4aYaxmJt0XA0XPf37wIAewHAwyA0F7gDQvwVvHmCfApAOCM3UDO2fBTpToLw6cV/3QB65Bb5AvtuYgRN/yvPC/wT82tLi4GA899FABNihcb3vnSAGWzGifpfsq8J6DEUtFGfy778ydmVwHbNsMCZ+XephX+oU+GgzZ3wGcWY5y8mVfQj8BQeiMg3kVK4IM/BonQJ7H6aQo/50BO/IFAHrpzACCOaNY/+iHdcz6jB7YJrnP1/J5PsbESeRwOCzOzcOubA8ZVPk7M/lOepkbL93BdOGL7MvoN/prfcOm+C6DP/wVPsoJqOWNPjKGU+n745Vthus0KihKDrx27GacvPTjIESQt1O0c3FWGLHxvWvLy8vx6KOPRkTEgQMHSoHRpwzn+/OSg5csDWjItsg2I0ZnChm02NG0Wq3S60TMmDkTjhgtX9EfB0IzaHYgESPAhrP0MqVZMcvZMuBa1029zo4zkGV+zBZxLWyaHxXPgNpOwsGHIOW+eLmBz9xP+pedsx0Z7aFTMCM+0T3Xb8aSz3IQ4zvkWQWsMoNLe8vLy6fcvOoledrMLALz6afgnBC4Pw4imanKmfbk5GRMTExEu90u7d+yvJyNZ/Dseq13yIMfL3MScBcXF0s6RX3st/N8+xgJt8P3bs99JPjwbr12u13yF+hNHocDrZm1HJwpXMPY2VPl/Zvj4+OFHrgeJ3g+YJagzqZyyxX9yMtG3m9l/9Hv96PX6xXAgPqRH/WZaeF7jphgnBFRMG18blkYzJMY4iPoq18nFDHaM+W9vWYckamTe+bJoNvJu4GSY5H9gnXGKy6AOPphn5b/NuAGrGWwSEywT+Q3SZb3NjoZtn+gbx6j7cTxx/3YbNkGXKdRQREwOowSx2yj7/f7xem9GIqpWIOMVqtVQuiZWXCmSf1+osggxEpop+vs23W6HRsd47XThP73sgX9MiuCE0BGmWny02pcg+N3kM8sQh4P/5tx8Rg9b54fMrcMmJ1NG/gR1JGhl+YuvPDCOHToUMmRM8bslNx/M4UGZXZudmweJ/ewRJABlOUxMTERvV6v0BPu95xYf+mbr80BwHInoFte7jeMlAMgdbIUkZc/zWTk5SjkbllWgaEM+jw+Ph8bG4udO3eWEg7Ljnto13NI234M3UGAvwmqvV6vtG+F07x5yMbJSUR5rxGBiL2IGewyJidwFHwNcrVtYcd8Tn+pq+rJOLdBf7jX1zhYMmbrgJMngDQJm+cDsGXAY4CW59h99Dlb6Bt1oCMEb/ycdc3t+SGEiHJihA0APLg/J1W2H7M8yMab/bkmL70ja/ulDFzxa9ThxNoPzhgAWjfcFj7EjJJ9mmOFdb4KQHKt9yva79tH5STGPoHvvL3CfaZOdHz7WIj/RYsDtxmRPOkogrOEen20DwoHy+s07IS4zns17DBQ/F27dpXadFCwIRsQEixwdM4MuBe6HSOljxFRSZ8boOEc/Dg/xRkq95PZeBkPR2E2g2sNiPgccIds+J6+mGH0spOdEMXOwnNbr9dLy17cg8wAv8jUY/H+Do89syZ2WNY3+mDH70DMHHmJxXR6p9PZwEyhl24bvfQekwwWcdJeciLT90Z72wTtOJA7SCEnA2WP2ywj8jPYyiDbAQ/dRB5mUOyUATQRI2edWU8HJbNA1in0toox4BovsZltMhPn+6yr3lxOu35K7VSJGvvSDCS5x0cxMC7snN+2WwdY21hm59H9vOSIfLzMj+zygxW+12P0PcPhsAAEToQN4DM48AMG2JUPknYfGOPc3Fz0+/3Ys2dPCbiZgTWQdF0eO8V6ZTbK7Hv2B05i3U/7+uFwWMQZL29bJsjSTJznlL/5bR0xKGT+MmucE1knM8wT1+LLHE+Qk9kpxzJiqxnxrB+Wu7fSPF7Z3sN1GhVnEFXfYXCDwWDDo/b8JiDl5TErtPclRYxAlU/AdoZH3WQzKJoDBwGDvQU2BDsC7zlpNBoxNTVVclQRI6MwSwcYyMwSQMDGjDxygPF5U91ut9TXiPL76QwWGUN2RHbwzhxZKmWO7CTpt4Er48xZrdvN7AF7c/ifa3FgVc7PrEp2tsyr92FwHSyAATPZbGZnmDfk4HlFHuiP3/uYmaQMTu3cuY4gRnDLsmN86Kmd7WAwKI6c8FK42U6zxQZDyNXjAWSi35nlZH5Z2mDufI3767lHt2BIvNRp3fVceMnFukZdTuKcwJit8p4u983LY5Y/h1TSH3/nJ0uRPbZhO8G3GYQxXvQLOdpXou/uLyA9B036xz6mDIaZW+riPZpO/gBLPk8OG3KilO3cAMp973Q6sbi4WNiXgbJ9r+06y4Xx2e5pH3+UE1XGadYoAzKPg37DKjtZyf3yHqzMQKNrTmDM7Dvhwb641k+AYweM29dZvt4TiG9yW07MkJfJBPTJm/5p+4mUbYbrNCp2DPzvjDEiij0H/O2M13ttpqenS8sFzo643gHG9KxBVMRIYa1gKByOFINi71SuF0NzP8bHx4u9H3l5wA4jYsQeeO9NRJSWPq38HhvOBDBBtuusj3toOz+mnx0OQZxslgBj0ORg66eQ7FDNRlkO+boqStsb2N1Xs5YGow7Kvp7lDo/fwIv7YDEykPYYAAkGeAR3syDIhHay08TRZsbNG9oNlh2Yc8LigJSXFGxf6GYV42UwaWBF/b7O9pXZymyH2c4za+Xs32Nhjm2rOSFArmZMzOQapJpZcOAh6JiN4igD26XZRz43i2zfNhgMigNt/UCEddIAlN+AwKyffI+vQ75mHvL8e/kVf0D/0FW363lz0sETlgb09Av9NAj28pP7uX///qIddN+6YKBk4OgxUL/txsnTqR6sspwZS1USiZ6acUeP8PtZl2wfjzUX+EkzkcQ699njZwzZV+Hz8+oG9mCgblDLmA2mnIjZxrNdb7ZsM1ynUbFRWdkzW+WNos66QPB2wGaxUBJT4Tge7+lwtkubDkQGcO6njQ3l9IZO+kSGauO2Ehtc0l8zPDZYZ+wONgZlBCwHOPaGZPDpoI7xOovEwGDzItads8GEHb+BAPc66Pt3zsCrwFb+2+DRG0MdsLxB204D+aFP1ikDarM7duBZpvzN9fQHEMW8GIg6w+Z/jijIT8j5lTTIOwcVBzruc+KQgRl1MG5swNk+jEyn0yktsZlJ4Dr0z0to1suqpID+AijM2HGd7SIHMNpz4M9snlk2y8o66LYcYKy/tlFvIAd4ZTCPbvJEqxnEHLRgMmAp8DHWGwdaB3YSLo/NfaZ+z0eeswxinFxm1icDxCrbcQJkAOL+8dnY2Fi02+0NiU+2VwAaOskYDc6wN3TY7dh3M7a8kuBrrS8RUYoXXvpm7mHeLR+DFOYYn8lYzWThq0iwvZ/X/bMeRIziRNXDMfZT2IrfnMD1fprRdmrwbgBuvdlM2QZcpyh/8id/Euedd160Wq141rOeFf/4j/9YfPfP//k/3+DkX/va1xbf33vvvU9oEig4KIOdnG07qNuIM32Kc6MuaHocpdfS3YazcAMWKzzKauVdW1uLhYWFkrOy40eRfcK6lygdSJvN0WsaMEov1djxZ2o4IjbIz/XbuB2Iycbr9fV3nWUA6OzfcjE4Zbx21MyBs3+fJ0MwQsZ2WPX66L13ZlQYo8fu5QY+81lLlhv9ct99DEi/3y+cOeDUTwBRvARksE/A5Ht0xxm0wYxBT6fTKRhcy89LvGY6GLvnxiDJS85VgZj5zaCauUCXDx8+HB/84AfjlltuKd4nCMgl4LjeKrAcMVqSy4CK4Oh58jJb1rvsHwzYq3TUwddBrt8fHe9hNsAMqosfgFhdXS3G74CdmQHa85JQXrpGr9AjEh9AHXOTj0qgftuX68NO7NvsIxir++m9Pa7HffDWCI/N+jwxMVHMFWPAVzIP9hUGwciI76yPBvXWf9o12LJ80AmDB8ZRlSRaTk40h8PRU4bImp+I0dEx2KKPsLGPxu95Lu1fqDsnfdZ1+k98M9hDZtTlozsYe/YJtj9kkLfveIuCyYDNlG3AVVE++MEPxvXXXx+/+7u/G1/+8pfjqU99avzoj/5oHDt2rLjm1a9+dTz00EPFzzvf+c7vuV2cGH/jeJwhRpT36gB8CDg5i0VxnLFnZG62wUbpfR45qGVHHxElB2OnhTPxkRL8pj2DMwAdgT9i9FSVjZOC0tuh0q6N08HH+2BwpBEjAGcGiDoAZIAMrqefXrIh0Pszg72cudtwHWCdOVpHbPA4Ly9XGFDgMM3e+HgRg29nopYX8+02uSc7razTdswZ5BgsG+BxnbN6Mve8/8lzTp1mI2FUc+BjT59BJ31gzvj88OHDcccdd8TNN99cWkbHLvNypwODX0/E905YmH/6amDkp76cVFUFKo/dss1AA7lSh/e9GIxZngbjzBf3W9cIetgU4JiX2/OTj8TwkQTe0+W5NQhwcMy2zrtHLRf7iiwvZJiDKrIwq8VcOcGynzTgzEw8MkXeTg6QPX7Ctmz/bfs0U8MerYgRQEDv7DfxSxSvHDAG2sn9dx+dvLoNs4h+gt4ALCfQyDgnDZzNaH1Dxt7v674AVs2+MsfIA/+SGUjkYsaZYnnwY5vdbNnew1VR3vWud8WrX/3q+IVf+IWIiHjve98bf//3fx/vf//747d+67ciYv3lmmeeeeb3td1+f3RSr1kVP9nl72u10Us2I0Z7ZBwEKc46DDDICDIIoHiPkhXeWQVKbdYGZTS7gREZJGBQBENnFoAL+gP7YwN2Zu3My9m5wSH95+wbgyCYqFzycmVE9X47A13vpzP9jpEbBBFUDRrNGphBYc6cJTNG9897GLgmA2X+xhFZPvTdIJs6rBPcy9OmlifzyH2cnWQm0OMdDAYxOTlZYg4IXIAgL906cFSBDOu1GT1k53aon/Gb4ZmYmIhLL700HnnkkTj//POLzeGWJ6DLjAJz7vOtqgCGWV7GSh9sR4zZLJT1gWstB9sHesrf9NNzRn1+r559ig/VNftlHbP9Uny0BwGSJ2wZt+fUjBe6wzjM8FEMgL3shh5Tlx++oB9mXpxAoh8Gn/6euaB4vpCpmZNcN3NoX533GHkPbga/1nPs0n7MwBk5ZODD/d40T932hYzJ8uO3garn376Hv83m28eZ9XWsyRv9uS/vd6N9M+HZdxh4oSPWtewDvVrha5ln9iFuM1zfQ1lZWYkvfelL8aIXvaj4rF6vx4te9KL4/Oc/X3z2gQ98IPbu3RtXXHFFvOUtb4lOp/M9t+1syoaAUsFKmHrNT9nxWV5WtEMx7WyQZbCQ2Qr65CUdln9gV2wEdphmR5y5sY8qgyZn0fz2E0XZUXrt32wB3/vAVO8joU2MyYwUpye7HwYQLMWQUTmr5z4HMOYvO3M7RS9TWGYR5ScvDawYU61WKz0x1Wisv/SV/jkAe5nA/bMcsvNxHzwG65IZG2Sc2TADbMuAgEw9zk7pE0AvB3v6YgaCOrw0aiCJHmAnHo+BOvpx3nnnxStf+cp4znOeE9PT06XH/M0WsZRkHfM1BMTcnnWG67kmMw3IkjbdlgEb9pqZb67z2KkTmZnVQHdzf3wPxaCTth00sUv0Fv3wuFutVuVTn7ZDsz3IgCXO/C48L5Nl8OiHYwxssCmz58yTfaUBo4Mz3xvk0/+q+bBem030qoNleCqwYL+LzjBv2JTn0H7UOpETEl9Hn+m/GTe+t89lvvBFzJf1D1k5SWHDPPc6/uWE1GP0kqFjWbYf+3cncQZ0thfuoy4YcvvjxyvbDFcqjzzySPT7/di/f3/p8/3798edd94ZERGvetWr4txzz42DBw/GrbfeGm9+85vjrrvuio985CMREXHeeec9oUmg2CmgfM1ms2ARDCJwIm4Hw6gCTDgRHBsBzI4mYsQiRZQzVBv7yspKPPzww3HkyJEYHx+PvXv3xp49eyoz34iNJ847c8ysDcps5+zs31lyxGgvQKvVKgyS+xg3YMzyw1n7KUo7McvYwMh1Ly4uVgZAA7McFA2wIkZPc5mB9FwbUFUFYusL82R2DTBjPWA+yIjN7BjsoX8s5RGIPZcer+XDmDyfZrXIXi03ZA7zaX01I0GdzE8+GJhxGiAS/GHluN+Jh23ETAX/T05OFp8xd3m/Us6K6/X1J9l4gXbOuJFdlgO/DeAjoliW97jNzCJ35s2BP4MF2qUNAxuzMegC9donIXf0zQwb85x9lO2efns/InKk/yzlG1y4Xj/V6vm2L7J9mf0xk5SXpvAdBHH7Rebb4Nkyy0AoIgof5HstQ4My1+V7bJdmmg0mMluErpql9lxY5vh/AyHaY4Ulr5YwfuuY/ZLtkjoBaOgCeru8vBztdrtkV7Z3+3j/TR3Yh8fmOfUqS61WK8WFDNA9d9RD/60zeXyPVbYB1xbKa17zmuLvpzzlKXHgwIF44QtfGIcPH44LLrhgy/V6svnfypCzYLMCABIrBQ7HS38OLgZoGI+dkdfBzSx1Op24/fbb47/9t/8WERE/9mM/Fs985jML5eV8JWdGdoYYlzNROyifHoxSmyLOLARLE/mJGhtOHoP3BjgIGsj4UWczgch4ZmamtITpOXTgtOM33Y4TQVaWGXPp98B5GdIBJy95kgVWvX7CzmI4HBYvF48YASbkkZlUy4a+P5beOoBERJERMqc5cWBe6HdmEpwdm0Fz1m0HaCeLTFZWVuLkyZMxHA5jenq6kJ+z8Aw+vbeOObK9oK/5XDIAHGArP3WJPnnzcKPRKI7LyEtZ1lECI/uVKF6idvD3cv9wOCztp8wAibHxqhxvrEa/HFDNhviBEOuo76V+M4H4GnQJtsp65Tq9PynbpdmYKv13MHci543l6FxO4JwUIRPu8fE3nmPqc5JgX2Bw7TngHoMO5EXSYD3ix3PCd2Yhl5eXo9PpxOzsbGnDvX/oPwmcx+6YAUianp4uJSg59tiuLOOI0VPUTp5zLGKunBBl1om+Zz/KGKq2DDAPti/rkeNvVdLo2LaZsr2kmMrevXuj0WjE0aNHS58fPXr0lHu2nvWsZ0VExN133/2E2/voRz8aT33qUyNi5AwJdGRWzjzr9Xp0u91CkYzeM8PkDNB7LzCYiPIJ7XYQDq5stDSTsbS0VFy7sLCwwWnxG2bES582EPrubIa+8DmOzU67yqlxn4ECtLXBqgNSp9MpBUgAkMftfQGWNQG2almXZRg7ReqgwFAYhNq52QEY6HBPBtoEKsuN33bcBKsMkgyO+Q0IsnPx8qmdVZ5HL4cgE4NrAr8zfeuIDzb1JmqucZuMAeDjty64P3Nzc/HNb34z7rrrruJdg2ZLuS7XTXueH59cDkgkoHsceekk1+NrDcQ9d5ZNlqmZDtq3njLHTlp8yLGDB9cOBuvnbZlZcf+ZB46xMGvnPYuMG1/G/cy7Ezv8gvWRvnj+B4P1vX55Xw19zUAFGzbjh93QPt9b1xiDHxiyHRg84Ou8x9A2ZsDLvNn2/ZBQtt3MUGc2if895/yPjdKuv8t67XZ9ve+zDtEeACkDZidkGTjCWlqG9Xo9ZmdnS2N1clWv14vXiFHMzlom/qEuz7v9POP2/FJsp9bnDJo3W7YBVyrj4+Px9Kc/PT71qU8Vnw0Gg/jUpz4V11xzTeU9X/3qVyNi/UXPmy0f+tCH4pxzzomXvOQlRWCJGG1iR8m8hGR2wk4ygyj6nJ2WnYhBSw7kBkSAADuKqampuPzyy+O8886LJz3pSXHRRReVHvN2EMZovDHcTqJeX99jtbS0VAAcj98GZMO1ITmbsZEB0lg6c+DJfUQOZPP0kz5b9sghZ1Y4LjOQXppy0MXp4MyRMRm5szicJo6ZgMr4TcvbQXpctO+6zGLxXWZhHMAtZztCf46usccvz5+dGf20bpuFjIhShmzA6z4zH/THIMtzjiza7XZx5hGvpfEj4wYdMEk+G8rXMi7kwdyib876c7CzbXvM+X9YVPZJmuUwK+L2su14f6PBA/qIznsTsP2S2TDGw1hh+byhmnGaATIoQr7ePuDEh/7YDu3fzEZHrL85wkvdBgDIi7phPPL+MNpoNBoFc5iTMC9NW289Drdv/fO48/456veBzLRtpt1ysp9i3AZ2rsMJQrvdjr1795Y22Rvs0kfs2Aks33kbRn5YCBvJgNW2zdE7Tu74gdU3AwUg9ZxlP0V/7I/9G3tCR52sOrGuYs6qYhv3WC8fr2wvKVaU66+/Pv7Nv/k38YxnPCOe+cxnxh/+4R/G0tJS/MIv/EIcPnw4/uIv/iKuu+662LNnT9x6663xxje+MZ73vOfFlVdeuan6O51O/OzP/mxceuml8cEPfjAuv/zy2LFjRxFErLzOGPzEig3OAQKFcCDHuHNg83IYjpOzmwwOuJ5rx8bG4pxzzolXvvKVRYbDsgmKjCI6o7SjdrvZQHJWQftra2vFU5nc78wuYuT4nJXyt5dgvT8oonwgpQEhMkDu3nhqlsAAzPNBhoozNICKiFJgtWFnUOg+uE/O4lkmYvzIiM2nyBcZ+f68UTqzScgy75PzfkHAuWVpoFK1T8dAgHHRTwd+B20vg7lv1Mtn6LLtYnp6Oi644IKo19ffNWgAj8MniDE2s1AOpNnJe8nIfbJOeazMAcvrZtgcRPLYCDpmZzLIyTrlejxf9BvZepnbdXm/ipMl6jPgNvNUq42Og7EfsY1ke7MPw36Qi9k/A1kDG8bHOxA9RsuBz9ATJ3LYtW2VexhnTmgtO9rK11GnwU3ecwsQqAJXZrEt+zw232tbzkk6+yWRgeXh5TN0y6sczDmfGfBaT+m3ZWyb4gXzyJZrmXdAJ/7H8rIu40/QH9ue9Rb5OG6gb05esE3HDMblrQv2d49XtgFXRXnlK18ZDz/8cPzO7/xOHDlyJK666qq48cYbY//+/bGyshI33XRTAcIOHToUP/VTPxVvfetbN13/5ORknDhxothDMj8/HxEj5gNlsYOz8cKCea+TDcIgLReyt8zweBmCz52Z2Ami+Dwe77qcYVi5I079xJWzJICRi8fe7XZL5x3xPcYEJW/H7qzWJbMKyM0AJmLEBnoslhXXYJRVTz4ZLFEAKL6GPrJ/hQDOpl0HQ+rj/+Xl5aLPmY2wA8/31evrRx9k9sUnhzP2qmzPMuTeiIhdu3aVll4M8u14STTYkIsM6XOz2Yxer1fKah00GEPO+p1E8F2j0YidO3eWAoPvo2/MH4Ge6zx2dM9g2AAis3nWVerz0j5j8lI1fSMI5e+cxFif0Bv602w2iyeKe71ezM3NxcGDB6Pdbhf64nk2G+Mlv7wXhnnPgJrx0/eqYx38f2b/bGv2LxFRepk0NkudyMSshW3L80M/7fvwm8PhsNA5AzbbQNb9nEhmkGc79PKmvzdgsw6NjY1Ft9st6rXf9T3ZJ8KamdEkebc+o1f4d4MaJza0ZxlmoGX20ay6+2Wg6jnM8+4YkmOc54y6kVsuORGxHphMsD9xLMvAk+vsHzdTtgHXKcrrXve6eN3rXrfh80OHDsVnPvOZ77l+wJYLjtRgJKLs1E1l2pkaqHC9lydZ8osoH4ppw/HZQAZNVqyJiYmCMXFdgB2DKMbiDbEOLN57QV05IHld3eAjL19UMSTOdh0AIjaeS2YH5qBg8MrDAHkZhwyOsUaM9g6Nj4+XAr6zN4NbQKyDPc7FL1nOwdwgzs6ecXgJlHG7L5ZxXqapyoodwDJTYd3kO+uOj62wg2XcyCyzs2wqdzCmHgcfgjB7SjwP2ANjNMvnIMNYqA9GzwDPoBadZvzUbRaFDeDWO88Tc2fAYTk4qGR/4WDD/iHszjJaXV2NTqcTd999d8zNzUXEOiAeGxsrDiV1YOl2u9FsNgtw4317yBUWxPOPviNPX+/lMmSXmaXMXpntoU4SxgxYnBBiC9k26CP1AkiQJTb28MMPx8LCQgFKYWDyYaJOTDyfBvCeL5/Obxtj7q2D/X6/tLyWQYfl6NfUZIYys9XIMoNCfGtO0OhP9scG9FyX2R4nvBQz3t4HaT9E7LJuWF7YekT5pP3hcMTaWb9cj/WEPpvdpS/W67y6RAx07NlM2d7DdRqVZnP0jkEct9F+VkAMD2Mki8ysgpcucr1WVPYHORDjgGzYGJvPd0JhTQNznx//z68CycrqoGOglbM4O6mIKE4Xpi/I00taOFnv/cGY8jKIs58HHnggbr311uIdf2bDXJeBCm3b2WHYOEKDNcvDwGIwGMT8/HzpHjMYzqzRETY7m02qylI9d5Y340cuVUso3OvjATLI5TpkzDV29B4PfcHhUle32y0eYiFAug8GJn66j3q8TEgfzOSZsaA+nDWBBsfrpWDri4NQBhK2V/rt7/k7M6LZ6UeMHrTw61K8MZ26CXRegpubm4sPfehD8bd/+7fRaKzvZfMykvX6xIkT0e12S7pi3aBtJ2gANSdV6CUBLrNzlo37j514ywRzZ33D9rkPWSBXJ6/c67dceC+VgcrExERxmC9jwd8yBicX2RehW05YM8uWr2UevGS9tjZ6v6bl5HdTcj92Njk5uSHRdTywrVqX8enokm3ZMQkbs183oPKypxMHxyt8eqfTKSV2nldkZgaS5MD26KRjdXU1FhYWij1i9qXU43ljrs140rZjAPrC391ut0g6qhi1U5VtwHUaFRuynUpWKi+t2NE4MFAH1wMAUGYcTdV+AQceLyXkLJ5rqNd/Oytw9mjH46CcM1/vlXCwjohS8OFebyZ25uKgZsDmtt0/Byqu2bVrVxw6dKjYp8bn9Xq9eBrO++0MahyYzJLYUfo3xcFt165dJYdAHaurq4UzZqw4RLeRwWXWIS8/cR3gxSzWxMRECYT0+/1YWloqTiWnLuTpgMv/jLPqDQOm/NGDsbH1l/rCtDCvzB1A1husucZshwEesvEePMvLrEn+3gkK1xI8kKP1dDAYlJZ0bFMGgMg4B2sX668ZDwcHP43s/WsREbOzs3HeeefFrl27Cp1irjyv9Xo9Dhw4EDt27IhGY7SJGRtqtVqF3SBDbNB65ad3/U5UB1juQ5/N3FO8fJhlsrq6Wno4xUCP+TcbYn+IX6FePmu1WrFr1644++yzi7Fal3ngwn4T/TCQtq9zkmownbdA5KVqAx78iV9Sj3yo29sNLONT7cHzNdxnW3HChA+DwbSvQZbosYG+2UgOIkaXnDwx95llB1CbGctJDnbh1R7a98qP7Zmx+yXgnlOSGeaWzwaDQbTb7WJLjdnFxyvbS4qnWWHZA6caMQowGGsVvewlPGdDmdmIKK9xY0igdSs4dTvw5CAdEcWSjwM97eVlSr9Q2Rsj+aEOZ1/ub9W1KLxfFWLwR10+XBVDdYZNOzgTjHB2djampqYKp5VfhWOQisNDbmYEHVhzoc8GES6wh7BDfG+H4yUBAwEDVmeRmdnxmNEJZ4KMxc53ZmamJMe8RJTlkp2wGU47+5yZ79y5s+RICeB2hp5XAjm6xvWeZzMQZh4N3HCunlMvR2FfmblwkDegyVmzM2oHJrMcObBSL9ca5PR6vWIOPf6I9W0Mr3jFK2J1dTVmZmYKIJADTdZLdIvkArviN/eQXKBbnvOcADKX6LNlxxi9lEnQNHPOtbSd/ZTHZIbctgCo56ER7rd+elxV82Z7Qne5Pj91bj9LXX7jRpWNWp/ywz62mdw+xfHCAM56YkBZlZBaB92+382YVytYgvVyOn0lZhjE0L4ZR3Q4onxOIHPj70hu8EmAOtu4E2rLz+AK8MoyOLJh7LYpwOxmyzbDdRoVjMDBkADmPQM4JBsPysy+C++XsBOMKC/J5UwIp2CQ52zObIoDCA45P/lUlZHQJoDEjAOf26C4l/oMjAi+fgw5s0WM2U/wueR1fmRtmXm5wg4HOZtRsDM1gMnB0mMy48jYcsZpMEN2CAjEaZlCp//UzRwarNjJRoyWEqoCPX9zD0vgmRU0k4rsLRcHYbMyGYDRX5wfDtTzZ9bV85w3kJPp0nfusXN3vQYz3GcW0ayl9dKAxWxCngNvHzDbayCd59E/zBk/maXLbC/6smPHjti/f38R5JHL6upqLC0tbUhEcnA2E+dlyCwzMwKMx77KQBHfZebM2wCQrRMCzxXjZl6oExngwzxXWS+w7wzkbFfWacaLrJGJmTTkiK5bDsg5L1HbNszo+lDVvJczJ0fMtxkg94H+2W/BjlEHMnJcyLLgO+bb7CJjss+zr2Tuh8P1hxM4FNmJRm7T9mHwZX+Iv+Ba66H7Z+BGAaTR96yDtIsPqpLr45VtwHWaFaN3O1f/ZFAAkODHJ75zjelWG6aXDG0QznbtbMxAZEfoc3usoDm7R1Hn5ubi1ltvLTbxGlBgrBhLBkB5mYF2zNhhcAYYEeWXNZtNwOA8dv/trNZMipcH7PRN8VPs1HJmSd3OjLPz8FLbqZaxfOgg9xqQwFTAlmYmxc7Qusj1/G2na0CD80Vf6Zf31Bh42qFZz5wQsKSI7KsYQDM23ntDkPI+v5w9m71yn9AjAwR+6IfBqNlc24LlRDsZpOflC+rLQNOBEl9gYGIQi23iG8zAWseduaNf9MGMD/d4/0pOEu0zbK+2a8+TZc8Y+HttbS16vV7Mz8/H3Nzchjmj0FcHWezFANlAI4/JAdf6bZkbgPpJWmwD/wFIsn/x2JzEZP/q5XYHdGRhtjWDfPqa2SCzoAa0zIn3VRmkkCg4qbHs7cNo23HAgNLgKCc+Tg5s32a/uJdkBf9iXUKeLLt6u0FOlmyfbsu+zjrh681ybzNc/4sWZxTZ0FEKqPWcBaBIfBcxCtJ8try8XMoEccwYC0AEZaU9K6cdD8UB20rvoOt3ybGU0Gq14pxzzompqanifqjmiNHLrXP71I2zRj4sLZLRRow2Uhq4Oeg6s8TBO6uyESIjXmztAAJgxaGytMP80B8DY/cfR8W8IHc7CwMgZ6LMk9kanJPn2LoE6GJ8dnb9fr8Yo1lGMzrMf1UGn68z82LH6bm1TByc0GPmNjt4y4T9bE5IDI4ILBHlF9vS78xg0F+CG4dhVi2rOHBbPl7GsJ45iDoQsKRinTNbYv3N9WYGJ+snhYBm5pS9S55DCnPj5MYMNp/ThusmIHHfYDDa0wZIpx78hEFHvb7+Zo277747Hn744RLjYFDkbQpZD1dWVgqgkmVvOdrWvbcIn2idM0B2AsY9XsJGN3PykRl89Mr1AoS63W5p8zyrAX6qHb9hUGedHAxG2wIsc/sh5swJIYXrzej5PtuKAbfnJ7NC9Jv9ocyFl5qRj3XOus8YzS4yz7Yr2swJJLrgJNWJv1lHJy9VsfDxyjbgOo0KSuHlwRwII8rnuhh0RWxcvnGmiiPgWmhq2rWiOjOyouMkzIYZ9FnJ7fCdvTOOVqsVBw4cKI3bARIQkQ0NeTBeOz3q98ZqO3scmoOQHRR1Mm47WRu/Dc7t2gk4I6SOWq1WLJ2QBed5NCPiDNDsisFVRJTeSwdwMyvm8bk/GWQYGDmL9cGI2Qk2Go0CUBII6JsBVT6t3Hss7OA8rwRNywVHT2A2o0gfvRHWoM/OExtijGZp8kZdsxhmwADTyAObNZtk8JR1w3NgmTJm5MN4CGi0Y1+Ql2PzmPzj4EYfmR/qsT47eXMi4EDlBxcMGJiPHIQ9LwYdnBfG3ExMTMShQ4di7969BVgDgFtH8hht4wbA/KZ9+kY9yNQBNb+s24DPY/CcmDF0X/FBeZ8iPs/9x0fMz8/HI488EouLi7G0tFSyU88L7URsfOKOfthnMm6vdNjGs7ycBDFHTla99J/bzSyZgZt9Hfrpe4kDZuLQUbPlg8Gg9HCTgR3XZ1Ys26eZU8dCJ+JOhrJffayyDbhOo2JDPVU25UzTBkAAcpDjb/5nk7ozQ2d1dsQRI8PMhyw6QOQswPfRpg2LgMnnBmhVy5pWbCt7PpTTS60UjxPnYSPLQZzCeFZXVwsmCFnnozDsQCxDn47ubNtB2MtrzigNhBmHl5P5rN/vFzJF1gaUAJPcvvdsZD0zsAegc72XTMzUORAxPi+ZeBkJXfb84ESRn/WNAOCN2jh2v3bEusEhrp4LZ+8GzLYn5Ic8kKVl4SCGXjGWDIyY+4mJiYKt9dKdddCy91Ii8rG9W+8NmijZN1BcX8Qo4aK+/ISj5wzdy/tiDAIza2Hb43PqAdwZYHqbAjKt1+sxOTkZ+/fvj8nJyWJsli9yR9eQp/XY9pODvsFBFVgx82yGBsBPnzibyYkT/hydok1YRT/JafuhL5zSPzc3F9/+9rfjxIkTpTnguszI0baXCEnA7VOZC5ImdJ6x2Q4yQLIfs4/ywdWAUGSanww2M18FBB3fsC3G5hiW9z7ClGIbJOHci9xzwu5kwXaZ/YSBvGPO45VtwHUalYzoMRAU1Rm3gQ7XG/BERAnpc9hfRBkomEnAuFg2c+B21uEfAJwzTPfBBud+c15PXlLx9RgBhmYnSBvOYgAtDghVGRXX5b1cZlsIBgRZA6WIja/jcDBBxg6iWQ7uEwZrRsBgIIMm5oK6vP9lbW30+qPshDJgdxAx28ceiSo2yHVa9hSDAeY7BzQOE0WetOfAZl3nt58gzAHUgQo2DgfKfNCnXH9E9RNWp3K2DuZVzIEfMnEQp6BbOSFgftE5AoOXhghY7pMTGCdUGXTRD28uNoPhIOdN2ugN82g7QMZeXqIuH/OQAz1gIyeFXkZy/5FrBsetVqs0t+hqTg49904W0B3vszKA5W9APvcwHpaZI0YH+xokeI4cyPv9fgnAVz2JB5AADDFW6iHhoo/eA2tbZ1wcY+BxWuYGVacCJT62yHtmDW7syw2gGCdy8rjxXWZIiS/WA29NqQLDtIWdOF5mPXDCiV54zq3L+GaSC9tttu/HKtuA6zQq2VC81oxiZ0fkDbVkJWZOIqKg4H0fa/lmKOr1epGlOdvFGGjPbJbbsjI6MOEQuYdgODY2VmQiBiUYjR2CHa0zaMvIAIvP+HH9mVFifIAUQIeNiXvoi7OaLGv6lsEgjp154G/LM+tCfnKT+gzGHSC8j8lsoeXP/QYO6IDHYQCdg5dlzN/ej8K9bp9rDEbcbk4aMgPmvXOWhfWPsVhn+W1QYf1Cdxys89KO59Xz6zbp0+LiYtxzzz3Fy7stV+9ZyvUBUrx8lYOXfQB9p350c3l5ORYWFkp6ZdaUfjqYWL/NOGQ7MBjPMrQuGBTlZR/0zuysl3YB03k513bO/HoJO+sE82Y/wufZdgCZTnBs1/hYAyInx9Z3bNM2ZJ9IX7nP9phZJOZ1586dcdZZZxVHHtBnxmc/wbKjWSTbnPcB21b9II5jCvNer48OHuU6A3P7Cftc5Em7GQiaHTNTxzzRFu2yejAYDKLX6xV9MINl/RwMBvGtb30rvvnNbxYrFpYLy/M5kTXb63FgR9jdNuD6X7gYNNixYxBmBiLKT/84S/CeCZQqYqTs3mtCW5mm95JWptJxFAZCtOPsnf746T8MyxmJARL1AX7slNgUGhGVAd7jcGAB4GBIzvxtWHZCOZNhXN4/k5knZ1jum+eRgGaj5n+yxipmzgHUWbD3NE1NTRX3eb+R++FXv9hxZqBiAJ0dK4DdztXzl+XJ9+iqA2UGvrRt1sMPJTgRcObJD+DNQN6gNScEDooGQd6Lgq7ls9BWVlZKy0LMx86dO0sBi3EYuNJ+zuptP/wP6PSDGXzvYFSr1eLee++Nj370o/HAAw8UeuLxZjBfZcvYjA+q9P1OftAj260TMNeN/zKzZkCLPkREcaAuPsNJE3JBl+zbYML8+hWuNYtj/bQfYD7W1kavnjEDQr8JvAYZOVm2T82+x8DD4NW+gs3kU1NTsWPHjpiamorJyckNuoVsV1ZW4tixY8UKBbbDvMCG0jePwUt/2U+h555b26B9lZMFg2D7G4MUrmcrANdlX2zZ2Y6ZRz7Lieba2lrcfPPN8ZnPfCa63W7Jx9BnGD4nacyLE2Mnf9brzZbtg09Po2Lj9NkwnHmDQfjkahyLA5HZnwcffDDGxsbi4MGDGxy5QZgdCv8vLy+X9pMZ6Bk82Yi8CbEqU/TyiB2aAQRtRWzcS+O/l5eXi+MCHHiQIeN0vR4f4AwHgoz7/X7h6HC8OMbct8zg8L9/bNh2dHZM9JnfBFmDQdrw2Biff+eNoJlVQvaU3A87PQp1kF16eSezCcjVzsqg3AwJAdLMo8ELemGn7STC85KXKb1cbXCVg4VtyQDYgdx64v4QVDxfg8Egdu/eXbLDzEoQDPncemPZ4wsIimYKms31F3ObTRkM1g9q3blzZ2nJyokVMkBO9MvBlM/MysAIsK/PgRmZer4Zt8dpP0Id3gbgPYJeQvb3FNdv2dEG9efg7WTQSa3nynaGHgOmSUBsP/TL4Jf/M+gDOKPL1I2MDH6cqBogelxuY2xsLPbu3Rvtdrvk771H1a+/MlD00qzvyYdx2+bol1/lY/+U58m+hB/Ly3Ngho+ELc+lAbz1Luv41VdfXWy3QE6ODcQVdMlbcDz/9Xq95K+y3j1e2QZcp1Eh0OVM20ZoB8pEozxcT104KRTT2VR2llXBtdlcP0S12+0W96Fs2bk6gOFEvUxgo8pjpH0DBQO2qizcDA2GBRiwM7Ls7FidvUSUn16q2pfA//SPl/Q6MDlwmO1yNu4+0X8D2gyGHSRyZmlnbdkYgPipocwMeNx2bpYrwSEDSV8Dg8nYvVSSM1KDn0zLA/KRr9mF4XB9M7w33SI7gxbrFoXrWq1W6ZiTquU1nwRuh2yZcY2zd8aWASLysVM3yPD4s564Xm+0N+gzCGO575xzzol9+/ZFu92OiChs1ks6yJSXKVPf4uJiTE9PbzgdfDAYFEcrMHb327poAI+NmBW2DqPXBvn2R2YEPb/ogIO39Z/+YEtmWKvkyXzkrRD8PnHiRDQajZidnd3Qj0Zj9BaIDOxz8mLdzAmKx7m4uBjN5vp7EQHU9m0G6RznwffT09PFmJl/9jXmPaL2m/TPgBAdyEDK/joDJCeyBvqeE/vhnJQ6bnCt/b8TVOsyMrHNRqwzZ5dddllRl5MICvX7bS32Ie4fY+e+J8JwbS8pnkYlBwqUg0wVJfVeAxyu6+DeVqsVhw4div3795fYJq6zg8Q5OCvAUbt9L5/4aRWMz5mg9xNhSPmUc76L2PhYs4GIN/jagRLguY9xRYyAno8jIDPxkit1krn7WhyNAYPBb2ZM3H87FAMwP3GHrNjLRn1kjGZ2MtA0WDXQzU8CGegabNth0Y51ywGKzxzkLHvL2KyPZeegw2+cX72+/lqaY8eOlZgl/15aWirR/q6Htn08Be2jY1xP32GaPMd2nmTCtq98qKzBsGWcbdWy5zc6SB3YFroN44ROZ/bFc2JQXK+vP9lnQJfBOt9h0zCNXiZ037CZDLgdLKnfY2Yp2PuGDHby/ifa9UMP6BnL9GZnkRU/a2trpTdeOBA7WWM/IDYDSGAMfrCgVqvF9PR08ZSkkyEne/Zp9mHoue3Bc+lEizG1Wq3SwyVmn1yXGX/aY5mNN47gH2x/WTcA0Zxh6LnwvNl3e84YC3XmB53yK4CcfJrNNUBlLMQN+yjbnueEOazVaqXjPuxjc5KAzSFP2723FdCvHKMzeHusss1wnUbF9H7EiMrE2PIGwgyYvFcKhcpB2tmgmRAbkINF7h8AhmIjIyvyEghlbW1tw7sWcx056yFIZHbFSl6V4WSQw9/9/vqG0k6nE5OTk7Fjx44CGBrgGEDSv5zFUqfZFQfCVqtVoqgBrmzydL+QGY7PQMRLD/TBSyU4Vwc9O3aDt3wtzpz+ADZxQjABPlzRwAKd8LlJ1L28vLzhJbs567WzZa737dtX7DMBDHgsXNvr9WJpaSmmp6ej3W4XcmSZmmIWwbpi+dvOHJzRA5idDDbNZFUFH2RqkGCWICKKV5p0Op1CDxg/iQ72QhAxK0DQ8N4p+mKWiuVHg21n6oxjenq6pJfW6WazGe12ewNj6vsNsLP/sX65btuxwZjnKYO5HPQNKJGTQQq/B4NB6Sk52jYIr0pgbYcGSE6IPJ4M3C0Ltmpg3/j0iChAlg9+pR0zrZnVpe9mwwxovXoAmDBTa/sx2PI46Qv+h+8zI8Z8Wa5miDzH9qFmGz139l/00T7Eso449avd7A+RrfvC3wZX1mn+bjTW9yB3u92i7s2WbcB1GpXl5eWYmpoqBSgbazYesxBG/z5IjsBnoyJY4ExQKGfgXis3EKBfDkw4GhurwSCKbVrcmbEzOP42o+ZlAwxmOBxGt9uNVqtVMiauoV82BgABGx6np6cjYrRPAqOzfFyfx43cGDd9N4i1TAhQliN12fE5GNnwOY/HmaSZJPby5CUH98nLJJ5fO7rMKjio52A9HA5jaWkpjh07FuPj47Fnz55ChmyANUuG7jkpYKx2ZA5qXt6jb371CcumFAc9A4LMJjhIA1IMhOirn+4jaXBb6E9m3pBVZl+rMuUHHnggjh49Go1GI/bu3Rt79uwpgA/3Yj9ZP7Otsd+Gz32t9z/ZDqmXQEay4HH0+/0CbHEPc50fJLBuE/QjorRc7DmpslV0nvsZfwb9jMMshOVGHzwvPgPMwR7dtq5iG9SFruGHAHDWL8vCLIxBl4EpbXmuDET9PT9e2fCTfcwFMkInnHigG/YjBkAeO21ZFvgbJ4eALnwetlJ11lvWlwyusvzdN8vScYNkwj7Ldm498d5cJ4T+nckFL/lGrCdKOYHYTNkGXKdRwZE5ABCgUBBnsKaIHbjHx8djaWlpA0sAYIgYbYQ0k+T2qrLfKuOn2NCd0dgJeizUhwH7bxSdQGcHy9/dbjdOnDgRs7OzsXPnzuJaAyA7GPoyPT1d9I/rcwZn+eLg85hw0ln2uQ6cOAUjZ/wOmsgqA8bcl5yBc60zMoodkllQxmGHZzm5HsvWYA45dDqdDcya76Uf6BltGBDxmUGW2SAzuoPB+mnSu3fvLvrjJQfqQo8MUrnfn/vwSttdnhfuz2NyXZ5z6h4Oh6Uz3zz+hYWFuOOOO+Kzn/1sREQ85znPiec+97klBgk5s9cGfUS+eT+S2QWDSOuOAz564f7yeWaF2PNlPUH2Dq7oGIEwn0BuHXW/MtD2/wYA+EODJNonwaNdM7pmR+yLrLtO7uif/aT9LLLCX3oJ2Mko8+3VBIL5xMRE6XMYrqqxmt0ySLV8PKfMQ55PA9GVlZViLNZd+uIlVO5nrAZFec8VD3N5z1+tViv0Jc+TfYH1wuxclV/N/pD5Y0yAd8dLdAa55ASQz7wlBvuw/+v3+wXTtZmyvYfrNCooGJmCg5iVJKL8jkUUwEt6GLkNkGwxgysyILNMVlxnj3yG46/aF0Bfucb9obgtnIs39TJ2b+glO4FBmZqaKm2s9iZ2ZBRRfjKrXq/H7OxscZ4Mhotxeb+LmUEDMv7OWSvXIZOc7eclXQw8H97noOqA4uzMQMRZuDN2B5OpqakSE2BnQ7FTpN/MFe2xl4Z2Jicn49xzz419+/aVZOI5gD1BB71HyYDA46cPBDAcJ3NEfWyud1LgtwHYeVI/OuS5dZbK/9m58/okdNLLqE4KPAbqMpvkxKPX68Xx48eLex9++OFCRvQX5o+5sk9wJo88vTEav4B8AK5mUpCjmQYzKD57KQMAGEba8rI1QCkiivodXK3DttdsR/gG2rNN0KbtHj0jyXByOjc3F8ePHy/6Sf2ui35xDAIAwwdAs+zLfbRhv+VAzrwfO3YsFhYWNsyN/bjBj23DumXZ5QSJOeS3AYLtyL4Ju+Ee99kA0XGHsaKf3Ot+WO/tQ/jtJDGP2X7HfsIMlJfqPY+5P/Qpg0TXy/f9fr+0x896gl4yJnzrZss24DqNCs7bwcJKaQaEyc5BuFYbveYCZwEY8QFxtdronX7eKJ2zM5TRn0WMnoyM2PhyaRuCM0H6brBWq9Wi1+sV7efMPGeE/D82NhY7duyIdru9gU3jb+9hcUAC1NJe1R4lg6MsA7flLDA7Bwd6HLXlitNHFsgDI/d+p7xRnHud0efDFt3W8vJyaUOsQQ3j9fjQpQxgAbue+/Hx8dL7BO3sCRAO2F4eyhmmQRgyog72hHGdQZKBKj/c775m528A7e/ojxkCZMs1Xr7z55Z73mfp5dBmsxkzMzNx8cUXF+O4+OKLS0tUlNXV1eLtDLRhIO7AjN7zHWPHN+TgS38cnMz4WM4G9vYb2CZjzsmXbQs7qPId7pv9ncdjEGQASWFufK4Turtjx47YtWtXceq6bXR1dbX0AIGBk1lR7IJjZAx+kRfXM1/IbdeuXcXme9eNDXuJ3GDIfoHfTpbwQQYHtj3PN7ricaJjtqGsO+iV+8XybK/XK+Yam/KKh32p7d3MnMGjWWf6ajsjLjrBdMKQk2frUy6eUwN46rSvtO2R9OUVgscq20uKp1ExKLBjRWmq0H/EiBEypRtRPm8FQ67X68VjxHa+dlzZ8RnwuV1nd2T8vDPOIIlrMWyMjr/tsOwwPF5AlkEINLGXmjAYBwAbs4MYAMMBijGa6bHjMluF7CNGS6qMwW2bXTDz6KXjvEfOQQU54QROteSbg70BEO25TTNYtVqt9ALsiPKDEN6vQV3Mh0GHl3AojIe+4KhYOrGO5WUzxunx++lY/7Z+Oju2fdnhG1B6PpAlv9Eng6AMiNAj1wfIZawGavR5YmIiLrzwwnjNa14Tw+Ewdu7cWQCFnIABsPykJEDGQQNgl0EI1+f9lJ1Op2BszBIzv7ZHy41x/X/tvXuwbVdV5z/23uex9z6P+0hy87jhBmmScENiVGJitCzoxmpepiJVdlFUbFC7RbvAJhXoVrtUtMRCyxahQG0Lu6X/6Bb9Q9AqUOiyRUoIBIIhEZMQNJc0CSTkJvfe89rnsff+/XF+n7U/a5x1c08g15yYOapOnXP2XmuuOcccj+/4zrnWcrHCPNnW+GHesAUDOhdA9i0vg2HHuV/oxP2w3TjRYuMcYxvi3Lw8TV+YcxcKtn2zZPiHrzUeTx7hkIsz4q8TvoFpE2BybHQR7pjjuEBMMiubfZJj8/cGYI4tBiaMxaydAbpjei74fAzFhWOXATpgMzN9jNlxiOuZqcI22O/smOcYETHZH+nz7GM5p5xJCuDaQ+LE5KDshOkEE1GncA1cHAxgB1yx8JnveuKaTvZc2wwOm84NJMxcEGxgthyMnRQZ29bWVgXUbNQGDvnH1UVmGbykgTOsr6/XloO8vJRv3ed7V/ZNxzFnufqxo+eEzjE4O/3z5mPmwA5N8ENH2IHHyDw4COZx+f+sW8Rj4H+De/rA//QFcObN5cx/TsrYqO8OdfD38k0TyMTGaIvxwlR4ed0Mq/XmpQ/rhrnHxry8R98cpBFvVoeJYEkdxsW3qkdMXrI7NzdX8zP3w1V0TpKAM7OT9ktshfkEAODvLowYo59nZ/048RoE8b0LDtrHBqxL+sKNHhQojIP2vvGNb8T09HQsLi7uYKDRjf3UPknfmFfbc9aj+0R/M9D0GDjOIBy7M5tpxhq7MDiw3Xqes6/lItIMsYsTrpHnzdePmLwOzqx2BtPoBD0Q9+mj31eK5MIxF5DoHXDtHOACxvHIhbrjHuIi2Mfxt3Oo/SrbAXpykWS7IPYYULuPu5UCuPaYGBSxB6Hdnrxiw8HOmwJdrXmJzWyF73RzsMxULEEMBiw/ywWDxDG4frvdjpWVlTh+/Hj17C/Eywo2VLNTBo4kPD4zzcv/tOVn4LgvgAA/9sBVpZ0KfdCu+2fQayDDeKwf+o8+vWTQJMyfGSCDAbMNjJv5dGBhLFk/SB4D1/NLqr3kk20tMwW5UnXiIzn4MSD02bo2O+EXPufER194q4DZRvTtfhhA+LroM/uGExznGux5/nLCp/9m3jw29GF2ITM/1jN9i5gA1wxU8X3PRS5ScsU/Ho9rL/TNQB5QnCt6xAVH9qFWa8KOssxm3Xru3K+IqCVu2mccJ0+ejNFoFPv3798B5rBhxu5CzNc1E8M4DOBHo+2HvbIfNAMl6zDHTfuG2UjPh0FC1jF2afbdY2Nv53g8ee+fl6iZI8cWYnxeCnNBNBqNTvtqGoMSj4VnKmKvtM9v2nJMxn7IY8wvj8Vg/C4mzAzaZ+mHi+vsm/n5b95SYx9qYu8Yt5lh98uFcF6tKQzXM1RyQuQzV9eeXIMsJ34zBxET5iOzEhH19+U5kQ0Gg6oq5zgnWII+t3p7meeCCy6o9vm4gvT16LNZGYMmgAX9d38dlPk7L/vwtyt32AZue7czuq9cp2lPk5OqvycomeUz4+Lqjd9OolyD7zKd7mTCsa6+XIkyx+4318KO7rjjjpidnY2rr766Vql6jj1v6I9+EdAykHbwtq048HM8oIEk6gTP9y4ouDuMMZkZccVuWyXx5UA5Go0qxikzHw706MsJguMBGcxZvnOLY818eU545hL9NSizPRoAMAeM20sn9nMDJN8haB3Qb+uJ72CgIqJWqNEvFzCMzWyuwYmBCeNj3NgW+jbD89znPncHwEGHTtQ5HpipQTqdTgwGgxpDh758TGbtHH/tE07S+XPHajM5jscea/YdF1i5bxkcDwaD6HQ61VsUzBRZ97Th2GW/5W9vYXDcwd64vsF3jnmMO2LykFLslAI4x35sEH0i6N+xwfNOfwC3Zm0dq8lRBpSM0WPjjlFigf2bOOMCz4X2bqQArj0mDkIOuN5f5UAO6HEV5QQREbVzc/WaWZyIbZQ/Pz9fGbGDsIHN6upqjMfjClzhUA4IToYOXk7GucoxO4AeOI52fJuvE1kObq6q7XQeUwYFdiTrJWKSFLyWj2NmlmE0mrwqxiye93cRGKj6HPBy/wj6Tubum8EAOvF16dfU1FT1rj2YjwxqPXfsP6L6sy6doFzVmokjuaIjsyv0MbMK/t7Ml5d6Mtvl/WUGIRwfMQn8uYAhsDIXBia+RX9lZaUqQjKTaXDPHHgfjvf2bG5uVmAPoG6m2fOVl18odqwXjiUR5qrdYB09ZLuxTs2aM16OdVwweMuAhTZnZ2erJX2zamYpDPas9wwYYH68fGdGL9u7GRj8i3jId/v3769sNRcNthUnce9VpL8uuLz0zHm2NwMO5tb663Q61TMUXQwbRGxsbMSpU6ei2+1WsReb29zcjJWVlR0PBba9MF765Ne2edmS79Bj1rMfO0T7fqwP7cGsjcfbe9nQE8Wq59rXycWTi1SKFsd9F3cGkx63bQa7mpqairW1tRo5gS5zrDcYLwzXM1RcqdnYbWBOwDBRBjAR9TVqnBRDcdKl0nFV4r0yZr6cNHFMA7CIyYZG+pydge+5FsnH1ZafvGxQlpc3oKn58S3gdiAzBGZSTJnTX+vPCT8zFw5+BG8/bBb9OUlmUOulBCdqB4CICcVNsLE9uDLkbzMEjIfx+gGI3BlnIOdEbfbMzJhBKfPj+XQgyiwEfc/giD54Iytzap1wPuIKlP/NuuTv87IYSdF7c8y8mJlh7L7zzY9D4NpmWnyMWRUnNNuoWabM9tEf/CuzigZjPtbVO3Zjlog+et+VH0zJ57OzszWmNi+TGtTgO51OZweL5znneo51ueDymG3r2bczsDbrzbVhjWzv6MRAI+9D8rwxFu9zc+HgGIK+YE0MHAEcmTnOIMb2ZUBBn/bv31/dbe4xtdvbN0fxHTEcHeXtFfZr9IcOmjagny4G2FfN7BLfDFDQh8EpD/+2nzu+OMYSk9CpfY/5dG5xLPBYiD34ivMDc+kc7LG6D7uRArj2kHh93oDHFZDZlByYCAbeF9FUPbm6M4vgoBMxqXi894PgZOaI8/ntIOZgDJCwA+S+AZww5kxR53ZN41syeMjV0/T0dO1hlO4HejQo9dhyAkCcoA1QzMw5QEVMlrAcYLwc7CDAuSRIX9eOn+e3aQ4Izk6GDkCZTfIPY8mJxmPhGLNWTQHX5xFQ2T/owGr9Ni0DGegzb7aJ8Xhc0yv9YOO295+58CFR21ds9z6P7+wP9mX+N/hyAsn+7zasO/TLkqjZas+j7T0iaqDJ9mZ2DeAHQCCWWHcIevNmcNsgvuQ9lhRsBnm5QGD8mfUw8Mx3z9rHMhjLTAR9cQFh4J8fZEtf7btm2G0vbj+Dl8y6woq6GGHcngdWMrzHDf0zd55zs2qO7/Yj6xqbzH6W45ULQQN8xwYXAiYBGG+7vb0x3ay6CwL82fEHse+7oImI6nl8jpMueHO8RKf+zO1it4wjF0wu7Hk9126kPIdrD0lOEO329poytDLGZYd1MCawGWA4+YHkqTptXA7uJJfV1dVaBeGEkxOTn8XkIOdEy3n0NWI70FFB5TV8BwADATtqZvYyODEwdXBwQjX4cIWUl7Qy88F3DnIR9ac+m352215SIbjmcTFudMRcmS1wgjawMrPBfJBsp6Ymz+zy3h4HKi9J2i65PsHTAMPnwlTlOSUY57vish+gL/RjfTvAc7z1b6DN/DtQNl3Lm7G5FvZqWwBkOFHZXugrOmIuc3HS9BnnMFe2Ay9lZFBncO79eJkRzS81Z66wr+Fwsm8O3fnuYfrhZIaO2Epg3dtfmvTgrQCzs7NVW2YmOB5Qnued8eZ4RrFmuzD45XiDF1727ALQNmAbZ5kpAxmP0TGS3wbS3LHK3Yebm5sxGAyqOGTWsCn22fYsgAeYNANBxyrrBvtwQYv+zYS6WIzYfqH8448/Xuu7fYxVC8dCzzNzTZvkEOvJc+Sxui1im3ONfcN6sX+YFXOBkpeSPecuzD3/u5ECuPaQMHl2hvF48hgGbiF3ombSDawyC0CCJ6hyTK5W+NsVWd5ThJFCqzuwwRhRxTrZ04aTqBOlGQlXFE5uXnI0kMsJwIHFjuf9QwYEDuRO6E7STiQ4vQOFA5UrQgdEV+N+PpmTrIM8ffdSSL/fr1WjXJtK2EsyGfRiCxsbG7V3oTXZEfPgh+Vme3Aly2dcJ980kefDgd62aOYSPebk7uSHfgiODohc20tYjIs2CewGn57T7JcG6BlseknRzAW2g70xJmwBIMRngFBYCico2z5JGls0w+UqPM8/AAdB1xFRJV3bXV5u9XKN4w4xwcvl9JMYZiCBHfhxGcwXDyF1seiEyXXdroEU7fgRBPTXD9DNfXUBaWCaH2Vg//fSqgGD7dTxOscZYsDa2lrcd9998eCDD9b0Q+y2rbpQ9WuXPPcRUb1e53Q+5BiW2RzHUds9Y15dXY1HH300RqNRLZYyH8QL2162M0Co7cdzQNuOG9Yb7broyIWNx5IBHv1pyhUuCMhznjvySa/Xi91KAVx7SGxETL6pVwzJ1bYTqx3LjJUZMQzHFYyPsYNE7HzCPH3LVUm7PXnCddNylyljX8+3YruywjFoo+m6Tni5usZJs9ORNHICog9NQIX2+ByGxhUsn7vNpiDhpO3v3LbBsYMU9DVjyfNLXzNDxHw7cJnJIeiZDSSgMJdeFnLyY76x25zcXfFyHODGbWAH2CnXygmcYEfCyQCePmTQ64CZQWO2FXTu+TOzQ799HL9JuLRtwMF85mSWwScCCOE7A2r7HrrNiZwiiHlAH/Y3Mya5yPDbKeir289PxKdvXA8waBCJnfI/ST/7Q2bIsm04EecESHtmirxEB6Nk3/MjGOw/LkAN6hk/4/Hyn0G7++dHDuBz6GJqaip6vV7tSfSOoy6gbW/MkUGRi07mxDbPtWdnZ6s+8NgH5gAG2sWXfQn7PnjwYBw4cKDmT4A569y+AyOKr7jYYwzZ7rAP5gB7o7/0kThF3rTOiCM+ju84n9+5kMk+ynj8fMvdSAFce0gcLJwsEVfF2UCN7DF82nQlw28HVQOGwWBQAylOmjZQbzY2CML5Iyb7Qbwk5nYZ2/Lycu3J8Fwz7ysgEOeXxrqy9tKHn+9kfTggkSAIQt4n4nmgDfrs5VvPnfvJ3W7e82XKm2BJ4qNfeX9DZkgcXAny9B+9s6eBAGP9GtwYiOYKln5xfcbgxM/Y0ZuDv79jucHXdEXtRG09GYh6HqxHltJ8V5sTZT7XS6tm37ANxszn2FxOyDkZZxCDrjwWg3jmyoWP2yQh+dlKgHHYZBcqnJdBphlcg/j8qhYAi4sIQFsGANhUXuJx0QTwQHe044KKWIG/41tOfu5jtlHbD76Wrz8a1R94nJcNHeNcrBos+Vhsg2PQg0FFjiMGcdlH2Lc1NTUVhw8fjvPPP7+mA9sd4/JSvYtr+xggz3bteULvxA5sxWCF69g26NPCwkL1HkEzbm4rs0Sc63iMvqwP/DoXxohtwEvIBsRsnzEYHo0md916DlyINM0bfuq84Bi4Wymb5veQbG1t1V6vkic9/23Jdw1F7HzII3cgYaAEx7xExTns9XKlbqPMex2Gw2H1PBgnStbY7aweM06ajZ/+e3kJEJUrDgd+zvE+JYJF3lOUn11jpsABA2fFyWiLMTZV+U70BDVu9TYzgk5cydEXBzKDGG8MR5/Mq/vpJcYM1G1HDiLMh29999KU+5irQ5/LeDqdTrVHh3O8Z8pgzvOKrTnxc5cg8+ZE7eBuXdB2BrE+N1ex2AFzyudO+GYuvGzsPmfG0ddA1xQ+6MZFRsSE5TbrmvtvsGBg2e/3a2Ayxw3G6mIBEGEWnLEwXz6HMdvnDVp9043BrZOXdZ2vbd9w/DFYs48a2Jpls494Hnjjhv3A59h+zBLjW8Rsx7WmfYm++zNfL8dIF0QZ/DNGwBRiX0dfGbQYWMP0mGXkJhLsNduKc0qeQ8bgYtwxFLtgfAZHuXhxEeJx23aYT7NQLroZVy4Usn6ZO4/FbLjznmMKY3kyoKsArj0kXs5yYo+oP6gtol7NYMi+7T9iJ/3JsWYkXGnQjoOVqw9+7CSIAyZ3GjIWgosdx8GAY3MAcb9oezweV/sSDCryMqYrfzsL/XAAd2XOGB0YaD+DIs4jwQMiqKb9uecxL116P5c3pjqpbm1tVcGQaxsARNQ3dLvCZQyZNcjjImiiHxgQ2uX2dgMk65wkmdkv+mGAlVmFHNSGw2H1fDnagQnIL/01ADJ74iDutg1Y7W8ZIJmNymyKdWWfykHZduyxWczoGfyTEPNy2Gg0irW1tYpdoH8ZUMGMwQjn5REDF4NXlpIpEpzIOBe2yokwYrJx37o0A+cY4xsSXAg1zSHiPWYGDvhWLijwRXTkxzmgA8aBHRtY0Cfaz4VwXtZygerYw9iJF2aj7Se+tvXt+MacE3/sAxQjxBd/nsEq7bfb7dpDfNG74yFi/3ax4JsduJ7tgnZpM/sjbXOcWeA8N+QKYlcTAcB8ey6a7v6mPfu3YyX9sl36mWrk4N1KAVx7TDDUDDwwaoMsgpYNMaKO4jPD4wqZxJWBiCvViEm15qowImrORcB2FYOBGlzkIMr1qUZIOg4MBiwEac7zfg0H81zRG2S6cnIf+TyDVgdaM2+eC9hAru/xGWg6Qfk4AqWDG+0vLS3FsWPHYmtrKy655JJYXFyskrH7Y1CJ7gC8XNvf+YaBJibIAJ+ANRwOa8CeBAE4cxVtUOjr80gOAqETko/lb/rP93numCOO8fzApmUw4+RmZiHPma9lVgddefyASMbjfSJeUs8Ay0k3M8GMgXbH43GsrKzEo48+GocPH95R9DBGPzDT/uKx294NfJ2k+Cw/9d/A3MArAySDVhJVXh7Cz2jPDIvtB9DhPV9ux3e+uhjJewwzqMpAirn3cY5p3hvmfptFxua8ZcCbw81u0i5zw/v8+Mwxz7pdX1+PXq9X84EMBOkDn5v5dyGeizcv7Xc6neqJ9i6Q7Utm73KbHEMM8Vx4XjMgcizyeMxoZqbK4oIoL+1zTma2cnxwrKLP+De6gFDYjZQ9XHtIvHExov7kY5ZSzFhhBBgbe4LsSG7LCd2Gyvf8n43PVZn7QjXMUiXG6L0hnEewMetAIHF1nhOQKxUHN1daLFe5ujEQJQjY+ZzAuRZ99phJMhzjpOrgwxjcRycFg1mDLDt9xOQGhIhJBT89PR1zc3PR6/WqIM0dq563pn5E1F8VYgDiec70uMErY87Ajnl2kM5VvQOYEzLBz3OGeJ6s94cffjhOnDhRsRxeDnbxQZK1MI9momz/mQGwPTQlXgML2nbS8iNSPFYDLSfv3D+DNa7T7XZjZmYm5ubm4qKLLqoeGWP7zksvnJ/36Bk8OUkyfz4vs1vYj/3Mds4xCLrChqanp2tsttkm98W6Jw5kwOt+ef6wRydnA/fV1dVaorTNjcfjGiuPjXE+YzOIclzzHaDYleeRPrpINCDvdrsRUb+hKLOm7ofBn/Xi/jctUTrWe/kX/3F8M1ixTrD7vJ/PMcX/uwjmMRy2A+bB8Rtx3PHKgllnjzGi/oT8PFeOv57LDIx97VyM2R53IwVw7SEBEGUDdDDOrE1EfUMpxuLX7bjqNqXrxzi4MqYyyICOPhAcaJME4WBuR8p7y8ww5bYZC8nIa/D85tkydgochesR3PMavwNBrqIYq386nU4FMF1l8Z2rPQcyg5VccaMHxom4evOYFxYW4tu+7dvi+c9/fszPz9eeYZZ1yXxnwISduE98ZsDitswm2fb43k9a5zNe4eKK2sCPfputysu1zJOvTXJnPtFTbruJncvAm+UIgJHBewawHpvnkuuYGcKWvOxrBs2v48nX8Hw74ONv7Xa7WkqfmZmJXq9X6S1i8mgMQAs+YfvykqTH4WvRRhMo9OZw95+CB106bjF3TthOUpkJzUwU59knzKJaP058sI6eG+vVS1Icbz9hfN4vapDhosljc7L39+jX7J7tg34YcPpF4AYTmQ2z37j9XPA5VrnA5Vh074LS8SIXivaLLF6azsUsbdgOaM999tzQpn3ORZJZT8blPtJ/z63txXcEu3Bx8YOuDRyfDNiKKEuKe0r8Ml0HQ5ILwdBr5q7u+J7Ni07AEZO7f3BMjB5HJKD5be5mgSKal+boI985gNg5cTCq8rzkA5DLe2Oc6Amw+eYCBwWCKwHEFDC/2d+CXnKiNd3PjQZmElxdNu1VcR8yyPF1CBoZ6Hn+GadfqeTAYaDtIGT7MCj1UrA/M9Po6s6Bj2BjfRtUNT18t6kNA23vE8qJkTF2u93Yv39/FeAMRmyrPidXvlwfO3Wlyph6vV71vrfRaFRV4WYQImKHPbht/Ae/ywCbBGEAhu3kGw7MJOIX/O0E5ORo28/nOdHlpTu+z/vbHI9se9Yp+vFevczKZHtn3L4BBDv18nO2dT+LL7PXXn6jr3yGDAaD6lj3zwWMfR8fQUeZHW5iZdwWxS0g0MtUHjd7FF18cD0XBejb480Ft4s3CgD7OHphngClHiPt5OcrsjSIT+eH4+a5nJmZqXTufIBt+prMqeeDtuxj9hvsjvbMGrtd/rYeHcsM2LA1A1MXpI7xTYDzdFIA1x6TmZmZWFlZqZimiEny8LKAKxoSlSuZ0WjyWg4CcEbjMDStVqv2KhUvP9koHVyo2Nkgb6fwAxPtGB6P9xVMT09XDzAkISCj0aja0+Dk6b1gZppwOBzClaMDPb+p5swIOmgSPAxWV1dXo91u77gDzAEDMBdRf5+el/wQ7y9gzGbeuH4OztaT2SS/kYDz0YmDsytUdMJSCnaVA5ETLmN1QeBEYcBhgGV95aRsFsGbr0ejyfsqPb68nGb9uR9eKrM9kLgZmx/IiK7Rhc81+MQHOJb+2/6xAzNSLj5I7LBYWQ9OCrYz9802hJ8xx4zXTAzz7ALNSd56dALyubwTkHNs9zm5eskQ5pr+ul+ZqbMv2E5so4yX38ScfAfiaDSKlZWV6Pf7NTsywMj9tz59jPctef+Y/cKvAHIcZQM/9pZfM2PmD/1xjkGrgVUukB1vXBAZjNo+sw1hz4zHD4w1qMzsF7/5yfHIMdiF6OmKRf/tIpu3m5hxHAwG8eijj8bm5mZceOGFNUCFTmwr5KRciLmQNsDKcfzJslwFcO0hYfJnZmbi1KlT1b4dr++bsbCRREyMCEYmor7siKFQqThQGfl7E6Or1tnZ2VoA9KZFrsMxMA9u145iwMQb2h0ICDQc6wDtwOrk5r1Z9DF/ThChUjZQcduZiXBCYAnFrAzivQOAWAc9xpnZN3SYEzKg0IHUSZE+nS55UIXl/Xv002A9t209OthwXqfTqQCC+2egbv26LZKzAS6bqqkm6SNzZqbHNua+e4OrixSDEy8xeUy0YdbL9hhRT3penssg2QypGRdfz2DX8+HEPhpN3kfoosdzkhOtWSsnjpwYvPzEdZuAohNeTpA8a842Y/BmBob2kZzsneAcNwyczX5zTcAOc+BHHdhe6QNMaU6cFATYNntT83xQlNIXdGJw5HgLcwnzgi3bps3AeN9RBpt5zpmfiMmysueZ+GOgyP++8cHFSrZZ9ODiyjZsf/L1XJw55puhYk7snzkWGfS7ePQSt3PSP/7jP8aJEydi3759MTc3V/NFF6xmzWznLqINCjknj83x/0xSANceEiay0+lUz7PyHYI2EIwhB7WIqJ5G3u12a0YSUX9iMYnEbbjCMPCiGjNwaqqwCWBmvWy8dlrGkR8ZkFkXV9Rcx33IlbkrKN9EQPu+TR69u4LPLIyBDnql/1zTII7vMlvm95qZfSPAshQVMWGHnAycCHkmlcduGwFkZdaJ8Tp55M89dj8w1dW/GUqDa+uCyp+AhT4AVmbtYBoN4F09mkmgfW+epW9OyLxUlmujVxcVudhAT91ut1oGyvbJPOXlBG8UNwBzlW0/zX5HcvZdcNnW8QMzHAaE1pcTCeNuqsYzMwQzbn9kvtnP6P4wlsxouqCjeDLLyXdOYMQdA++8BJ71YpbCwDa/mgjf73Q6tff+eRkWoGamznpg3Gtra9WNK8xJ9iWDpTwG7DKzTCw/WofYr0GhfYSiw2DZhYbjp2OIfTjnFOvXIC8XTy7uAMSOSY7fZpDyg6M5x6sBo9GoKqDMhnrcBvxbW1vR7XbjiiuuiMFgUD02BbvwGwa87Eh77Xa7dtMAOvWKQrvdrvyf75t86nRSNs3vIbFxzs3NxfT0dJw4caK6wyZi8rqUzc3NahPf5ubkvWMrKysVQHKi8J01dl5XZrnKcHWHUcL4OIHnO4cYC0HPm13z9xhtfu1Hu92uPffJDuwASqKOmFTIBAAHXPpHRWmgiUPTfycFX8PVFGK6mfHlKrHb7Uav19sRfD3nWS/8bfCKfjLjSdLJVWxmKKyHDDKpjk2Tuwo93XId48uAxiDRQdpspQF/fiVO3txt/aCHXFk6AQ+Hw1haWoqlpaUYj8dVEQLoYb682Z3zrePMGGAzeXzZFu3L7jM6o+9mokm26C8zQ+6fgRC6xTeICfkzJxLmnT647/gCzAzg9fjx4xWItb0biGOvLjYYH9cxoLcuub5tN/tEk48xh1w/b/pmbph7s6C07eUz+ktcta2ZNc5+YPvgb88/52dQwvkw5/TT9sE4+L26uhorKyvV+SwVulBj7olxBnvYmz836M2A2iy2C3/rBb8j5hsw2jfdN3zN9k3/+Js8xBz6lXYeA3a+uLgYhw4dquUKAL99kdcL4V/ECK7JvHglhM/43EXWbqQwXHtInOhdfZw4cSL6/X5llDwQEgNzUKQKheHIy3B+mWnExJEi6pS9g6g31zoZu7I2W+WlD4Mggyocdzye3FFJexyPI3qfiB3XAYJ9Xq7unKRx/Ij6O/B4vkxORK4i0TGAlL7jhMxbZg9x5gxAcvXnqi+zOlzbDIWDvcfqp1uTQPIzd6D2HfANiJygYZDMvhjAr62t1UCr5w4dmHHgWvQvV6xU9k7IJBDvzePcHPxdLXc6nZibm2u0bwdOJ+W8/MV5FDAGtBkMNiUXhO8MEpyUrQv7XU4QBuckAXTlRIsOrSfvvUGXzDNvPwDw5QQ9Ho+j1+tV+jQoYTyAk3xHr/VAosLv19bWYnNzM/bt21e16dgzHk/2FNJf27zZe8+9dWhg6YKJYi7HCM+V++6CLGLyMGD7vtlkJ2J04YeuAh64NjGMPtMPM6C2K7/ejH4xNnzBfXNMsV166dBL/I6jGQS6WOfaeXnVdmm7IKYTW3yHqZkm93d9fT2OHz8ec3NztS0E9hvGa8BGvw2afeORC5Z2e3JzSsRkWw7+hK7wMc7PbxQ4kxTAtcckG1yv14tTp05VFPb6+np1F1W3262Bq9nZ2VhYWKg5tgGC7/5qcnwnw4h6ECLQAI7a7XasrKzE6upqHDhwoAqOZsm4vgFaRB3ADYfDag8XDkMyIchmRzc1HTF5LhDHoZ+FhYVaEDSINQDIoARdZYbGy5e52vO8WacO6E50w+GwuruHasoJzknDy6LMs8ebgwLnAi4cOM1aMg9+bAHBEJaAuTO4Zdxe7vb8mk3LANLLZoBmFwaIQZCBSqs1eT8c4vnkuE6nE71er9b3zFaZIeN8EnpeGsaO+O0lnzxOJxuD+7xUhw0ZRKFz+oG/MC6+dyJlzplXg0X6YT3angzcSJjMi4FCRNTswuz5aDSqbiSxfj2+7CvM4+mWD20zjM/7rRg7d/blYs0AAl9wAvVGes+tfYX5t58Z4GAH3m/J9+jc+8CIA45hxGSzZb62/dbvZsW3M8B3fMt+ka9tIO446UISnWGLvivYzCnXhqn2Uj92fToWzjrNj06JiFhdXY1Tp07F9PR0Bdzor5k/9M+cO6+5ILa9839mnV0k5qLHn2U29kxSANceFBshCfDEiRMxGAxidXW1ovX7/X4FuPr9fvR6vYjYudTkZEmizqyT16kjJuDLSRRHMiPS7XZrlQlO5/My3e/N+AZROMb09HSsra3V2DsqQDNwmW1gTNw9mCsnjsXpqWqyQxkoOmgB8miPR0u46jfTQZsOUtaxl3EyMAFYAWLNIHIdM0gGPFmfCIm2aQO2E7zHCbto9ou+Z6Cb7cPA1RWimTcnANqHOfAmeiSPyyAggy5sMu/zsM6YS9o0qLLtZLDA3WXe+2PQHjEBvABq/KLb7VbbBEigzKkZIObSunFBgK7tT55X4oj7gH25QHAiMsPhuWUu+NtJuNVqRb/fry19M8foFmbdscPtmNExMPJeP4SCkmLI/sf1acMFjMEfx45Gk+dg2bfsR/7fhYT/pg3bk5M4fZmdna2AoGOx7ZH+Oz6aSTEg99wZeJjlNLOL7u1TtId9+o5L2jbTbZsCsPm1YxmgGozmPVqOlzmO0Fa/34+ZmZna4yccjwxazf67iOA8xoTvGTQ65jsuAkwHg0GlBxdcZg3PJAVw7SFxkHMCx0AfffTR+NrXvhanTp2K2dnZWFxcjIMHD8a5555b25BtBsY/NsqcVAAGdvRchZFQqNTn5uZqTu7r2MjNEJltcLBxEGQt3S+FBXiSXJwcMgtD1cn1XZkQ4AESDg6u8iKiqp79mg23abbKS04GPmZpDDz8fCFuSLDuIya3nTvZeKkCXbvKcvBivlz55WTjpOD2zNa5gkXHmZEygDfYMuDLFTZtIp1Op3bXlkGymQ33LwNd99Pncgw68PFOBPk8L4P5eWyeF+YpB34zUe6z/du6Y+nS5zOfvqmAIsR6ZFx+5pKLHfTihGTfMutBn0i8ea6cmMyOokuzHFtbWxUr4XkyuDVbgO7NGsG0eHna/TX4Qb8wyPSPmOU4yHmMd21trbZ8n8Gn7YWiwKDb/TL757FnUG6Aav8yG4zuHUc5l+vRRxek2YewW/u5wYLjhAtEvzydu9Dpb96/66Vq25rBP9fGPvwga9sa88XKDv44GAyqvkRMXnuHjsln3quXv7eO+NnY2Ij19fVYWFjYUSxZBxmAPxkpgGuPiQMk1cbm5mZsbGzEV77ylfjbv/3b6vuDBw/GddddV6s8bER5qSxfJ6NzM14GY1Qy3ndCMHMiMXAzuBoMBjuoYFe7GahE1O/8s17ycgff4RxeqqMdOz1sB3u3fGcNx7tdP8HbwX00GlVtGUwSjPr9fsXm5SWHnFS5rpfYPI+ZuYmY3AhgBowgyd8kMM+3KXFX/GbMMjAyG5KZFwCiAxtBygWACwcAjAEOgMb2YLt10DZwse0B0tnj6H4xL65Mc5v0n4TppSDPsat2gzzmxUkjg1kv8Ro8M1dmLyKiKjoMKLgu48kFle3UIMHtYocuADzPCO3Y7uynnmfmw48K8fYBLx3nosK27qXqDFYNuPB5FwRersqslwEP/XA8coxhLAadfo4a452eno7V1dVotepssOffNpLZSwNoMzA+Pxc82Av99/iYI9r3PNvvzCLmIigXKPbZ/J31avbHtmd9ZQbKRSDtZN8C1Dp++oG0BqXOW7Zz2nUcQne0x0NpHSMR26HnhZyzWymAaw9JZpwwwM3NzVhaWoqvfe1rteMfe+yxWFtbq1XCJFsnHDNJEfUNhk1LZ7kypm84KEyTjyF5eI/QaDSq9hvhWL5bqInFMGsB4HFwITAb0AFczLp4v0zEJDgSDCKiqr6tZ4KtK2R0ZL3m6jjrmRsYclWUgyF9I3mYubNju30YD5gFHB7dsDTAPBtYM2+2AQdjBySP20nCiclByRvbaccPjM0VdcTOd6zlIE0/8yZj25yBlKtdbMwB3gkQW7ftm3XkWgZQ6MvJPzOtnuMMygyKMvNKO67GAbZ5PrlJxExWBnjey5l9w+DE7dgu+NygjgSFfpkjj9Og1v1hT50TYhPot1/7GJJeBmAwJmZtp6amarfvM17Pt69nhtPX9r5X20Jm4awjfAdW3n7kB0xjM/YZ9O1YgA2bPbJtumBwXAFoeAku99eFi+MrNmmAxpzZVx0/cswy85aLa3yWghbAw/5bCjfbHeDcdw1iywAo5pRruLAjbmZdMd4MPp3fYOSIr1tbW7XtDLuV8liIPSQ5qTtRTE9PV3u0LDm5REzAC8E6J0YMj3d12YG5Lk4Is0Ub3kzNsQ6EtOPfZl4yLe5jHXgQV1UZWDQda6fhx/0HAFpnpsWdhFz1eV+aAx3nsSToipnreOMprJcTC4GPQEafPRfWFVS8k7+rca5JMPIcOym5TYNf2qdqd//8OyJqDIDn2AxGDvTec+WqnaDptsxyOiH5OydCgr8ZP+vVY7e90ic/ZsGgwKDLAdz24wCdg30GzxsbG/HQQw/FYDCo+S2/adOsQ678zfBRTLioyMs+TXsGPafoBN0abGcA5T7ZN/N8kIhdnDz++OOxsrJSA618RzzDX/JSL7HQTKyLKJY2WZ4nMTcxQQYXBm7MN7HT/kE7ZnDQg8+1/bvoy/2xrxtgu+BG98xpLhoyE0M7OR5HTJ5TZ314vPa1XAxkdgud5OU6zxegL+8Ntk85xnMjhcfnPZ3oDFDK3GeCALBrv3S/mpgwPs+FBDrgyfasijA3T2ZZsQCuPSSm+AEPEdtO0u1245JLLon9+/dHxLYBXHrppbGwsFAzHAMRKlFXBq3W9tOhZ2dnq+Bk9iQiao6XqVgzYwZbrngc/NbX12tLjBE772pz/+lPpzN5aXRmvfyZQVdT5UWS8PEEdipugokrHcZIMAEsOdnaSekv4yOgOCmztwU955ehminz0kdO+JkF8bkOIE4WJF0nfFeCCGM2G5IDsYO/58TvgcNuPVcwUAaX7r/76aSNb+TlB/uH7Z8q2RuufYco/XVVjp8wd05WOcHlqtk/XNdjBMiZqTl58mTceuutcezYsRoAzbbM9QwAXETA5vhmlJzESU6ef3zAvuG5yI9wwbZJfujDz2BrWk4zG8VcHThwoNr/6T5xjJN2t9utgYN8Q459xvGDuaO/Zja8Hw5dGbQyf7BTZuMNZrNt+i5LdI/+8SkzZ4hvPnCh5bnxMnQuysxMeX6wqfX19VhZWdmRV1gdyTEEHZr940GxLlaIIX6UiNnmzDa5uKb/BkrMl4uAdrtdPWDWhQu2kAtog3H8nnFHTACf44/BpcFTjl3o2AUfhcFupSwp7iHxJEZMkh9GcPDgwbjmmmvixIkTMT8/X726oNvtVq+fIRlmZE+yc2AwtWqA4DuSSD606X7ZKTN1bNaiyUhhIOyErqZNgyMEw4iogqGN3cbv73NizBvBuQ4BwBWmxc9p8XKBaX+u6QTlhMJckADZhOpAij7olys4A07mhDF707aXMprYCc+RgUEGVg7cBlokKJKX7S7/OLHbngiEObj7JoWcsG2njANdmM0100a7PHsps0YGICxlkFhZUvYSNokXm7fOTvd3RP3p/IuLi/Ed3/EdcejQoRqbYf8BwFr32J7nkWt4WYUCwUmZ4wAF3ivlpG095/mxzRBT/JowxInRbfq5SwYXmVnhf5I6e9lgOuyjgIzMvmW7wYdhnbxsZ30y9457jgUkdvcFH3Es8F2G7Xa7BujNvCK+2SBisn8v68W6tr24n77m0tJS7cnrtgvisOOX4xQ+5bnMYIZ45sIpA2mvkFinjju5sLEN5RjmJT0+o5Dkuq1Wq7bs66KVec5kQmZ2c37IxTDztlspgGsPCUaFMLnr6+vVexX5vbi4WFWJOJDvIKEqYF+S95W4kjFrkN9UT3J0EnO1ksGQQQLHEHj4zEAsJ3MM3pWFARsOxBjzEh7J1M9ycVJtYiusD7MI2cEdRFy9uW8GrMPhsLr932NCZzBHPO3Ym4cdAGnbQCfvZfFDEB0kGHPTjRC0GVFnUzKzkROWmRC37aDpYOXvCVrYIzcuZMAfMWEhqFipork2tk1fHZgjJksnBjnoBDvLTIWDck4c2G+2IydX+5gDtStz2ur3+/G85z2v6qs3MTctx3l50InebRtgGOg6ufhcdIkuciKmnaZreBk135zhuJCLKreTixWDSxeJmTnyvPd6veruwuFwWAG0Xq9XY2PcZt775j1t9JVx+tEH3ktqGzPDmvXgPau2G88FtsfY0IEZdXzbd0Nbr/y4MDaAyHZpm0B3+COxNf+Nf1gPMNaOEdlX0B+6ZFzMJ/PEzRa8JHswGFS6NQFAXMi+m+cOHedlYfRooG/GER17X6NjiwtdkxO7kQK49pC4+sFRVldXo9vtVm+37/V6sX///lpVvry8XBknVZUD1NbWVu39bw7cnGPnJvnj/DhnxGSjeUR90yGBE+d0EjfIMWXv4OrkgWGvra3F3NzcjmrZjI+D0ebmZpw8eTLOPffcWrWfKy9X0HZOMyI5qboaAiD5+pndQX85+aJrPysMvbh6oy+0RR8MHPwdc8pvL70YkBBEzQhxTSdHs4Eeg5MB4uDvRJGp/iaWxHPTtC/CAAn79XWbQCGf5+RmBhU/8PIxfeTHBZBBG9dxtW7WiHkCCJhdon9OFswL9u3/c5I2k8g4qbYBseiUz10coFvvq0TnMCwuYKxLbC0DtQwAzAjmO5azveAjTorECMbqvhhIEiM857YB2EmzWE7cttEMygAHiJM1YzTLT5voEnbKQMy+Yf+2vpkXx5Nc+Hk+zPC0Wq3qga7ut98S4L4wDt4YYb3kItWxwvPp+TfY5ntIABfiuahH77yjlrnL7J3tN59vO7KNul+Ot/gD43ZB6AKAPvNuVcdF/96tFMC1h8TB5bHHHouZmZnqyfGZlfDxs7Oz1Ro79L6N57HHHovNzc0499xzawxARuYkYT8jyixRq9WqvTAZp4La3djYiNtvvz0uvvjiuPjii6skQADjb1cndiT+p98sLeXEZ+fnM/p2wQUX1MBHbtsg1IyJN3cDZOmbwYaBQF7qM2PHZwbRfJ73gVApDYfb78LsdDrV3jz6wDVZFmbcrhZdMbpy9bKMdZnBUQbPHJOBsxNixGSPIGOJqD8o00yI73wzyPBShq/F3wBYdOzNv54nAxX7kwOuQRb2mEEp+uU3/c8MTAZyTvTYaBNgMaPkpMIYMiuaE42Tln/bH5x4rGtfLwNb9MUDlR0DMrjKsQGfhb2NiBrbTKHi/nU6nRoYZ17MluT+AkjsA7AjOZnb9qy3iMlmbYCm9/jRFrEL8Mpeufw4lAxmsWnazRv4zVQ6PgFOIqIGLBHHrzzffE+cYIwU1Y61vsHGrF22b/uU46YLToN0+uB+uh37FL5s4MP8ZDBkBt0FvWMkgJP47YKZtrl23iaQAXVmmh1naYuCwqD6TFI2ze8hYWJhsvr9fszPz1cBodPZfl3J7Oxs9Vof7upYWFio7adxAO31enHw4MFqg6HBRcTkDjsSJMZHBWcggQOZanZQ8J0kvkPHFR3BwgGAvrAe3ul0qjvkmpJoE0PgTfZejuHaOGKuTF2Fczy69BgIov5x8jZ97yqRa9NvBwkHA4I/dDrf0wdvWs2Vm5MnS3C5mmbuzFB5vug3c53HRF+9lMtntEsiWl1drY2NxOoKlzYNIlwFu7o2yPcSjvVtNizvC8nPmcosC0JfsC9swNfCR92OgUMWs4TT09O1R6WY2eUaBguMzX3zPNq2/Dd2YKDluID/4nOZgTDIy8uZ1pV1RH9XVlbiYx/7WNx55501UMk8mmXiurY7g6QMGjnWTBPFBdsoXIwRLzKoaErCZn0B+GbI6Ls3ahtQoH9vbbBve/5c1CEel8EX9oYOM3PD8SR/9Li+vl7Nc35gNADYbTGn9nuDVd+o483/2Bh+YubNeya9LGm/aALJmenGvwxQsSN+2wfscwaRmSVz7PNcuPjMRarvZHYs+uu//us4kxSGaw+JWZl9+/bVDMHLgU4KABPOXV1djYiowMpotE0p8zfBD4Pz3VtOULSf6VMczUwYDjMzMxPf/d3fXVVuTpRURQQaJ8SIupPm6tRG7X0f9IGHwyI+11U713FynJ6err2ygT450Bq0uNp1sHNF5KSSmTaWGphT9zWivgET9oXKzcDTuiUg0F/vq0CnXi7NLFYGW5yXA5NfqeLq0oAcvcCsYYd5KSczUiQXV64R9QfRul/5Di2DWIOMbEcAWICtQbP1S7vMa66ox+Ptd5kadCBOIPzv+TAD4Lk3U5Tni78zMDXj7X7aX2xPmTX09SNix40F+LULD/cpYvIIFca3sbERjz76aKUfgy704X1AGUDYlzxu2s8Fk5eCfYzjSwY2fDYeT14ajV0ZeFr3HofBtuOo9e744QRtptKgCfvPvgl44zMeuOy9mZ7jtbW1+PrXvx4nT56Mubm5OHjwYO3FzwY+jmG2S+vMIMa+zt8uYqx/+x+A0GPFBr2Uiu7JM+QMCAHmwkuugGqzXxGTbRqOCd5fyjzRHu3jVy6g7A8et3PLLbfcEjfccEM8kRTAtYcEh+eJt646nRAwKO97GI/HtWfQmMY2G8G5UM48LX5mZqYW5OkLhhUxoVkBKjiUn4yOwQMQmpJGfhK4mRizON1ut1oqzXS1QRdOxMMg2QRrHTUt0URE7T17nMN59DEnU4+VtlwF0lfOIyBlJ3egcgVqAIQ+8ktdDXawAYAZ4DyDGgeenMgYsxOTwbCZNC+p+HNsz9c1mPe48+ZZdIotOVmiQ++ZcoLmWlyPPqNrzxHfOeFkvbhIwNZtB9a5ix9vgPb3JFE+sx7MJjFv+K/1ZwbCSSezXrYd+7H16rvzOB69eqmIcfL4EgNc64HrM56FhYW48cYbq0c6uIixf+b5tV+50PKjRJhTFzcZPPB5vgvRbWc/ow2DVtuD594x0cc4RrmQdVHK9y6S6LeZRhcy9vuI+kN5uQbHbW5uxsMPPxz/9//+3/jSl74UCwsL8cM//MOxsLBQxWZvNXAMcBFgoMh13K8MFj2fFMGZWbcN2ebscwB8YkkG98yFC1Sv2Bi42Y7dVxe6LrQZl+2Ffln/2BFzy/Ff/vKX49Zbb43rr78+TidlSXEPSau1vXHQ+6sI/CRynIYJp2KCTu/1etWeKi8xwoQRUKnwI6L2CAMHl4hJgDEoyndmuC9O0rTpxIQzG9C4SsfZWq1Wtazm4Mc1CMJ2Yj9zyRUg4/e+lKZqGkEHDiLsg8Jp83IbQQBdednHwJOk44DlZ2I5INE/wCSBD92zJ8tA16DI48lgbjyePATWCdCJ2gksYvJQQicnzgPco0uWeLwEkAO+bYFzmEcvVTAeB0BXnK54GV8Goi4+EAdersM18rXMatBPszBexnLV7JtYmlhYL9tj106ijMU6MVj3WLC1JhBiJivHEfpGuzkROimhSxeAg8Ggml8Kv8XFxQpwcX2zJN7TBAhsYgltWwZ1XirE7+gnc4G929Zo0+dERMWS2/a99MecAQQ9z02JOheItkkv2Vsv/t9iu3VBh5iZwlf+8R//MSIilpaWanvqPFbHYfTBOK0bcgh7wbimbdfslf0FXTAu2yzFfvZDA1/bN21xXfzK9oVuEecP+4+Xt3NB72K6CVxyHHOGXx0+fDje8IY3xBNJAVx7SLwHySDDYnDiTeWumAFfVKa5Qpqamqpo9IidT4nGcF0lOAC5anQQcRUO8HAQMj3ra/rOLleDTgCIAxLnUtnhbPwY7BlImvUAALkKg1FypWc9MQ9ebnI16kBhqtpz4OqPINKUHD23/p8xO1CR0E2Nkwgc7Nrtdq0y9NOgrRfGbEDmZOf5Yc4zS0r7LhzcjpOhQSnz7DuXsBuzAE6eZkxIMvTTY/eeIjMPth1X0p5bA237nK/j5OclDRcC2EJeWrMN0CePxfvnXBC44PBjWLJP0S79sg24v7Bi4/G4KgK9h8fJjbhlwG62z37pIsLAlmMZY052jNOFmmMl+iXmeE5gjrzXBwBrG83PU/JSpUGD+2yQAICgiOH6BmPEKY+RsRt00WaOj94+4SINPczMzMR5550X3/d93xetVisuv/zy2v5dszwGrPQR+3aMNMhzPPG8sjJDm8xFLlqQlZWVOHHiRKU3F+QGjtZhXg7MD5o2+PWxzksGwMR5g0gXrDlW2b8ds5jbd7zjHXHPPffE8vJynE7KkuIeEpYBI+p3DUVMaNqI+jNDInYGNScqB4a1tbUaxR2x83Z0/vbautt1wPe6eH5MgqsWG75ZluFwGKurqxXbhvGajiZx5EToSpw+OKDYgekP43H/CGC+jdtJPzu7kxJ9efjhh+PgwYNVmwCeXDnRPx7RETFh9OzI6CGDZAAN/fe8mVkyO+p9cxxnAJFtCDujD6PR5KGTBkhmIAwu0JMZIj8c08wY/WUZlL4ZcHo5yQVGXp7wXDWBFs7zXXJ8TkI28PIydbfbrQFTxmmw5ARlW+e62AqB2v3yfHlZ1MUGwNdz4GVdjy0zWwY69lsvAeW5NHMQMWG/3e+IyQ0nZmFyUqP4G4/HNVDjGOPk6n1S6JrfXmJzggXk0D8fY8DE/06aABmDIwNO+6H1aIBA+9iw58aAwnHHccpsrost+6ztM4/TBVu/34/v+Z7viSuvvLK68SrbmW3D+ia2ZJBr0O54n+fCTJf9xbrBn3u9XgUm7S8RUe1LhuG0TRHrXCTjKzweyX7puZuZmTnt+yyJfQax9M2rOt5iwdgjIm688cY4efJk9Pv9OJ0UwLWHxIwJ/0dMqHHfwZcDUqbNI6Iyrky1N1XiOExOwk3MhcXBwExKU1AwiCTRmknJzAdPS/eylAMDesr0svvvJEbfDFb8fQYSEfXlRf53khgMBvHII4/E3NxcVekTKPwkegcpJ1UnX9+E4OswZoKCGQLva0LH3r+VwSLjMG1On51Q0X/E5AnpCMdlRob+uHJ2hTsej2MwGOx4L6WrZwcy+uhr5yo2B13bQX6gLJ8x/qaN/MyB2QWPn755/ABoV9M5UWMHHkcGPviAwY8Bgtt3f/ERJ7aIqLYQcC2DAvcr+wVzbr0Oh8PaEna2EftvE8i0r3J94pVjF/sDfXzTEqv7j737pe3Wm8+zfu0XBgK2q8wgeazWeQaZXBfA6XHQF2/BYPxcg6LNxadBRE7+LnJY0t23b19tXm1/jIN+0jfbJH93Op3aM6hc+GMLsHP036AEv3Mx6iKuyUZ5CCvzwDYZ5ziWwv29CzfHRmzatscx6BnGzDmJY2nbDGpeYYiIJwRbEQVw7SmBTXBg5bfBmA3BDIITZsTkScwGDSxp2GlzwqJNjIlkQn8ARWY9XN3mZI4TEKT93fz8fG28tBER1bjMFDkA5uTmgGPa30+mpg9moAzM0K+Bo53MYLfT6cT8/HxcccUVNQenujVFDwijHfrj5OoAlPdLcU2Pn0rOIIDA530s1lG2GwI/4MIBmmBvtpFxGaS5MjRYRQwcmmyJgAZw6PV6taUGA/UM7G0HWRcG04BfJ0h0Yb9Bx03LYAYfZl5cvUfUX8brOci25ALBCdVLggZYTmZ8ZiYwImpgwXGCfhn8eNwZzDGvtOH5dmFmdoo55VrWvZ8ynoG/wTPXNkBlKdb2kGOTQaPjmpdKkQzic5HoBz9HTDapZ6asaSO5Cw0/ULoJsNmnXazQjuMQ4M7+bVvnM7NvBsD+jPn0WA20bLvYlgEdAMVzh007JnNMfu6ix4l+bYu2Ib7jRisXy7Ttgorxkr9mZ2erPbK5+DdA5MGmAC8XbvYXg2nydX7Y7BNJ2cO1h8R0eUT9eSc2toj6RkqMlwTvAES7tBcx2QAeEbXg4OvnoO7g5+vZwRAnISfgTmeycT0bvoNDHh9Oyt8kCPeTPQRO6FyT34zFDIbbpu923ojJXjk+zw/1ZG68pLi1tf0wRt/hxTGAL/oPS2BgahCZN5FzXbMQzKsTM/NHX3Mf+d7sF+N3UrMNsQQL4GA83OXqhMQcYpfebM7YnbBIbBsbG7VHW7jCZ+7QAdfMYNIgjeqa9mA2+DwHYAM53ynFdfN8ZHux7XuzPH7kthADPPuTfY3Px+PxDh3Z/wzMGJslA+AMqvy/wSv9MWubH0Fipoj5yS81Zz+RwZWvmZ+LxnjxVZ4v5ThHUQNIcVHWFIvMIJJoDcq8NGZfs69Yx/ZZ/vbzmjyXGaRhUx4L/gAYcsxwbHf8tu0wP2YLEf9PQZf7znx6edo3A7lotm7Rh/ezue2IqGIFOuIao9Go8Un59Bnby3ef4s8ubtEbT9GnELYPcYx9zXrM/mP7MNngeHsmKYBrD4mrERuQK2QCJQbqjawgbicd2nVQMmBxm2YEXPXkqs6G7YRPUHB/HXxxTlevGK4TisGeA41BAeIN4u4j4qTN/w4YBCbrx0HKANjHuZKOqNPVnJdBI+1nJsiB2fqDsjY4Iok7GXj/BuPxtc0QmOVwdWgGxwGZ65kJBJwD8DiXQMh+LVfEVJ2u6s12+Cf3m7Gtr6/XHgBptgq7/epXvxpf/epXa0kcASiZfTFDYPbSgMRMngEB7ICXeSMmgMLjyEAqJyH7g/tgtgr9kmzyvDMvBmgGOvaB/MYCjmsC5T6Ga9Mnsy+OBQYlTuIR9UTuPnCefYbr+H9scXNzs/aAX98MQaGS+0A/mXMDN4MH9OvYSH/NPGb9GMhxDeaBPnNMXqp3jGNc7mtmn7y3ybGBeXKsfKIitdXafn4jQBahHcdw+kK/AVZmuLi7nJstrDsvE+an7xtE4ov4q+P71NRU9exE6xiAhD+SOx3D2+3JDUpcz3Nh3aNj68GgN8fK3UgBXHtIbLQ2nBx0vCbPPgoSgytrqkJXOk76DpDedO6g5M3DdmY/uduVGufQP995yes3ImKH0xmE8J2NnvZzQCMYZNDmtpoqPIMukq0ZFMCJg6uZD8Y5Oztbe4ZZBlNmYAAiBhVeCvBdhqbAvQTiYESfsI28V8uBMicNPidZGeSZBYSBc8LM1aHBCVUrYyfANwWpvFTZBEp9XbMJGdRz3PHjx+Pxxx+v5tmMjfuWE5D1TVD2g16RrEdfxwDQY/RxBq55Hn0t68rftVqt6jEM9IffJCHmLi9zutjKG6XtG+jHxRxt2KbxO/w6FwdOkAaJiG2U8x07cqHF+dgd533jG9+IU6dO1ebE7GlOuLYD69Vg0sWAGVJ0aoBguyBhG7jZBgDGubAwyHYBmYtCrmNWydtQ8mZ25s1jsH8bVPNeSo5xUeOcEbHzMTnE2sFgEK1WfY+W54E2yU0mCJp0QVxxse7C0DEvF7EGd9ZXJjQ4x+yYdWf2mT7Z/p6MFMC1h8TJM2JSNWXGhaqCNW7O8abRiEnwBGgB4nKSMhBror/pQ8QE5OV9VTiTgReBzZsXM2hxAImo39nCNX2HXUQdkI6bS9wAAFLPSURBVNAHlgUIUIwVAUQR/NxPM3Ac66rczuzkA1PAdyQcWB4HgAyEzF44Gfh62AC69Z4tt5dBnhMBYzkdA9hub2/+9LvobCvYpFkz24aDo4GYq2uzGQa2/O2++Hb9PB4CNHpxQCYRXnnllXH06NHKZzLrYVvDnr3PBvsygHJBkFkejjcIMevK94gBnceBDeJb2Ib31xmM0H4G+7n4YEkzM7z0wzaBDpoYCOaHObH/UyyQaJ2EHWcAIgB5F04GNNkffCODGVwD1gwC7Q/ez8j3ZmmJoxl8AlJ4hE5eurJ/2W99PQN36wXgyDzah4l9jJWx2xeYG/uzQQ2+AdMEi5NtAN1zJ+7q6mqNgaTfm5ubsba2VrGK2Cnj2NraipWVlcpWnYfycql91qwd48msp/uJuMh3LqA//mlqB3vJW1CY06xLs8tc30vfu5UCuPaQuKLLFYjBmFkTnJPvciLyEqGNxXcv+toRdYBDP9iHweZXgzZXr3mZyO32+/1a9e+qAYchkLstgrmXUNAJ4orYDmMmwZWdwZ+rHyc2runEQAA12PNYzFBmByWR0l+CKYyFq3z3geTHNWjDSYUA7T4wL074iG8ksE1l0GcdGRxyjoMj8+Eq3yDef3tOnLD4bbDhwgP7MfvgeTMj5+rVoMnjwZ4zSAR4oqu81MLSM37mhGn2z/OagbErZ4NDJx36iV4Zh5dNPDc+3pKX5rPdNt1tCNBwcWRhLCwt58cAGDAbjLpYwN+9V84FDvPgmODPW61WnHPOOdHv92vAmrHlzzJL2uv1qut7SdnsCDcGuE8GU9avQZeBYgZFrEBkH6FfZn/tGx4Ldo89T09PR7/fr8UK7NDFQ45r+DyPYvCLr/khdvk5YuhnbW0tTp06tUO/tkVsL8dTxwbG6Rjj/OAlXoM42kEPXh70cY6HBrl8Z9/zd85ljBEbafK1J5Jyl+IeEgKRK5/MGOVlR1c/fG7aPdOhTiwO/BETZyfQ2tDzkpsTn6sWVyx+psloNKo2XHv5sonJ8FKUg3PENrDwHZQZXA4Gg4oFyYHZSdTAlmqLIOnN505+9DE/c8z9s56sH8ZMv0g0no9c3dGuQbP7i2ArJGD+H41Gtbvz6L+XMa0799l9cB8zy5EfZeEnltMPXp9kHXDXEWyDATF6hG2x3WZGzPvL+Bv7NBPiuXLB4KBqQG9W1nbghM9YsXMnaoMT94m7bnn2GPaAkNxts7abfJcWc+7z0YWLLNun964x1sweuBgzk2r7p91ut1slZt/44X2O3nSeWQXHKCdV94Hj7FMWA0f3zwWPgUou/EjUGRSPx5PHfnhcjCUDdidmAAkAxoyPbzYwI+YxYv/WAd8x997nZVBvP+d/vyfTsdP5gBhKAeOCGzthubDX68Xq6moMBoPodrvVA7fxD3wskwFmal2058KLOcevDHjpv2Ov/8ePiH/MmZlZ30WJXTqXcu7a2lptzh27s6+fSQrDtYck0/4ETFfYrlT9NGfvjchAyhU9wZ5z7OCuOnAsV+sGWjkZmXnx8qCdGYd2GwQI71Nwm/QFZ/It6OgIvfA4Be+/cqJFV3ZM2qLCJzjSX1fbTq4EaVf0ruo41hUyn/d6vYiYMB/uE9Wj75Jizp9oac/AF33CZBowUJmTCJhzln7pb37GEGOlXwQkV6uMyQHS1a/ZDS8bEvjG48lt/BnsAlKZd+yMY53AmFeDE+9fsp/l4wzsDNzsW9536OvZlr1h2Eyt9zhZZ/YdmBfE9uobB+yrrvT9ZgBAN+14f51ZVDM0Brj0x4868Xdc06wxeuFcjyMDPduydW59Wrw0zN4lGE3Gbr/MBQi6I1l63AZO2EcTyPecMA4LsQ3BHzKTTv9dWDvpb2xsxPHjx+ORRx6p+mJmE91znmPmcDis2DvH7lzQ8Bm6J8acOHEiTp48GcvLy9XP0tJSrK+vx/LycmxsbMTy8nKsrKzE7OxsNRbbk8fvOIXOmUfEgMrxkDk1SHSbXNOFFXPseM5cGRxnQO/YRczo9/sVc05/mQfi5G6lMFx7TLyUEFF/0CMVMgncSQZnwQBs4DgowZIAn5kmDK3ptm3E4MDAwwCAoOSH5eVgS58NHOkDDuPAR78IJnmdPY/blaGDGn3xmrz75qTJuPxcHtPIrigJBJzHWHLF1263q6chZ0agCWCQPA0MzLKYwYvYDgRUqEimxt1/2iPhOHhwLGPwHJlNsz3k83u9XrVE6oBvwE27BOpM53N9mBT6a8bHgdNLQO6b9T07OxuDwaAGqM3IADIMJmAzfCz24H1Sw+GwNse5SHGis226uGADM3ogeaAzbHM4HFasTrbDiKgYNSdaBJbRrA5/m4XxnOYCiO+YJ2zL4CnHIAOSzBpkIJqLJkARemau3R/Oc8yw3eX4Yv80g+LYg+4AAAasOT4D5NCTAZvZG/uki2P8empqqtqGYV/1PLrftGG785gMPq1f5tyv/+l0OnHixInKDgaDQWxsbESv16vGPj09HQcOHKjtJ3PMoG18f2VlpbpxyKy6x2e9e85te/QJP3TecPxviku2F+vCzG/Od/yGqWcbg21zt1IA1x4SOwcGYePAGfwgNy+DmMmxoVMN+g4Ws00kDpJGrlCbggRAjOCAYdvYPSYbNr9JsPSDh8hxrtvPLIUThQFkdlD6AJ3uIOfgnh+OaiDqvXC05+ThYGld+Tu+53eutGjP55P4PFcGc27PCYdKLC/p0qbnClbJlT/HmXr3/iIv2eS5xs7om3XnJzmToGHzqNDpL29JMAvjZMe8AMAMSB1kOc/LWNhd1gM2xHmMzWDRgdavLDIA5W+SvtkH+soc4t/T09O1hzsa0PmZRoyBZMXcutL22GEH7C/owHuist9zzfzsogywMpDLIBfherRlwLi0tBS33nprXHzxxXH55ZdX57sA8NKY2RF8yPp3Hz0HTpDo1sCPNokn6Jok7fG4wGMcXmIymOA8F0gGJDne2Ha63W41Ny4Wc/x3fLX92V68tGkQSmzlO+40jIg4efJkxXS1WtvLx/1+P/r9fiwsLFTsIqsLLhDQM3v7KPC9781gi3nCxxxLiBG5WGTszK8LXM83c2qwTyx1TPI8OAa4+HMc9TaJ3UgBXHtIvOxHgOYhm3ZcDIuAgjE40PoZLwZTBnVez46o0+QZTDmoY+QGLQ4UXLNpkzvXJpn63VZsHs/AI2Kyz8H7pxx0M7DhWg4+9Mfslp3SDERu084ZUQ+eBELOJ/Ca3aDPGaBkBsRLBQ7UHEOQddA20DNT4aTMkpABLjaQn+eTq30zQPSFtmZnZ2uMY94UzflevnZSdqXOuU5WZnpdgVr/foWSq3z0YabTINRVsVkKbCjrlyUEnjOUb2yYmpqqPb0fydV2k81hn05+tGFWjqSJfXveM6PhgsJsXQbyzG+2Odj0nJgYM9U+x9tPAPJeRsvxhL5ubGzE0tJS9dJfJ0yuy7j9VgMDXOIb5zQlZz91Hv24UMuMT2YTaavdbld9ALR6Pom9tvPMdnJd65PxGPQbZLqYNuvI52ZpHMtcJFn/BoSMyQXyaDSKhx56KO69995YXV2NTqcThw4diuc+97mxb9++HUWbx+w8YJvj2sPh9pKnlx7xZbfhGMXfJgJOnjwZg8EgzjvvvGqe3S/6YL0ZoHnPoHMZ55HjHBdcgNHGbqUArj0kecIdpMyi4ECdzvYzcO6555648MIL47zzzqs9jsAMkI2Qv0mUOKqXG8xu5EdJ5GObmBU+9/UYk4MZG/Qd6Lx51UmSPhF0XWG3WtvLMH6KsZOcqxQDnkxrm93wHBjkMjZeyGsww7Fensptuwq0Dh2MmQOD3SbmETDlwEywQscwHQAGA26DSFfombXJQJw+k0T8uec473lz0vBeDveLNpw0hsNhpWd8ITMEGYR6LrIv2M9sJxyTq1y+8zK5waXbysun6NYJxWypwYULCLMDZliZ41arVSUt6zvbh5MpfTfgQBdmiEncTvTo0fqwzl2gRES12Rw79BPCOTci4sCBA/Gv//W/jm63W5ufXAARG2xjJG4nTLNU9NMAxzbj2EQyZw6YF+YxJ12DW2ya9s2cYasG17TrwtmMk++Ezqyzi2nnBdgtxzmut7a2Vj2yg5jF3HtfMHa3sbERJ0+ejAceeCAeeeSRak5PnjwZF154Ye1YA0SDSxeKtm37HOwhn2WmCTswy+fizvaJHmzT6CMvx1Mw2QewFUgAcl9mwweDQa2gKa/2eYZKuz3ZnMpkesnFxzkwf+Mb34jl5eVaFevq2BQ8wQcHyMHVFZKN2QGVJQ8DHhIDzkzfcSxv8GdsTux8R7sO3mayCKS0k1kKiyt8J+GmpJufjk5ypIr10grHTE9PV8fg3KcDF2btMvtHwBkOhxXLZ2CXE7jZRUAA7TI2wC/Bxce7SnRV3ARImsCy7zYFMHvPmJ8h5CTg+bRNA6oNfDM7QaLxs9QM+JxY+dwVO8vwDtgGHt4Lhg85+bryp/1sV05w+QYQ7MOvemq6w8lLeyQKBJ3k5xoxn+jJ8+bEZEASEbXle/phdseAJ9/BhV6wHwMJ263HSvKyj+FbCwsL1fOi0FXeVE97q6urNSDNi47db+YuYgIUGTvXAFhgJ7TJHNh/OS+f78IAm7Oecnwze+nlQGwsF1URk5sLHEsNhtEN18pgEGDuIpZzDYQ8Nsa3tLQUWVz8ZN04hjrmuKCkv+jec4MPoD/fTGJfG4+3t6AcPHgwLrjggtp10K3150LIj9DB1hxDt7a2X1UGe8vnvqnCMd+x7UxSANcekpxkCEZOAhgJTzifn5+P7/3e740jR47UkrwrfO8boYqMiJrxO7DhbGYgMDgzJt6H5LtBCCC+q8MgKTMjTpj8zfn8beaDfhI8XEHRpvsdUV+mNChycs37NNymn01jMOQx0KaTFsHc46EPBmBmERgntgDYMiPlfT0kGPY7OAFbD6b5zdC40s5BHx3TL+aW5JeX3QxG6b/3h3CMwYvZQM4xC5ArXpIa/kGb1q3Bp8eHTQPw/HR2dJ7PNRviQE01bHvie9+Vat92EcN56MIJxuyG594sG+yA5w47w48iorqDzAnNydh9s9248ieOcD5jMsAyuGD+0CHHeAkTG/Gmd8ACtmEgzrW9VGkmC70xf94zhq5sp7Y5bNZzZp1znsU25ZhtO2/a5I5+zVRxros4M5bs70M3jBX7cTFlO/YxxK4cW5oAT6fTifn5+bjkkktqY15YWIjFxcUaUGceKCbQoeOVYw669dh9fccxAxvHWezK4/Kz5BxXANYev3VA/+wTxFdvY3BO5By/PWU3UpYU95h4Sce0M8HNQZLNjQsLCzVGiOTggEnbLINF1IM/BsodTwQsV8WuSl1FYoBQsE6ADgRmNOzspqVdGdN3AzK3m0GaAaOdnvGhM/RBxZ0ThZOkGSD3w/11BWvwQVXvBMlYTaM7WDsQZCbGSa9pj4qTJ+Jq3RvYx+Nx7Rk1md3MQAXxXgoHGkBZBv1eaqA9zxuBLl/XSSDbgJdhbCNm8hgXicq+wTxYBy5QcnKgArYu7YcGUBlQUS37ESEG5wbbBqNc1/2xbTkWIAY5ADGu52qdNv14CeZuNBpV+/Lykp7BQkT9sQ5m6uxD/O9Ygh7cF3yIcSMGdVy/2+3WbMZbDDgeFiazHNyc0ATEnaTN8Jndo90MJswgmsHNAMfXsy4ymPJqAQDT4C4DEYMR+mW9c/ekfYUlRoNafA/gd+6558aVV14Zp06dina7HYcPH479+/dXekdHeYuHCxTygm3c7Cg6c5FKvx3TPTbHa8+Vi5/MYPkZkI6DnU6nupvatus45yXYzOY/mSXFArj2mGRDYkJxvIjTJyFXu7maNAgDFBF8XEXTfq6AQfMGOg4oBHf2bTihEvANHnE8O1bEzncl5qrHyYrv7Yh87zZzcnaS63a71XsiXRHmTfpO8mbHaN8VmdmY0zFm3j/ANQ22s7giNKjNVSrf5+s4wBgAtduTGxhIUE5mTiT8BnyQfMywZdBh+3BgN/uQmSi34aKDeWGsfO9gS/C3f9APwK5thLl1f128UO2atbAPkNTMHmLH1h0+7YLCgZ9zc7GEn6Jrs7LWC4DM/prHY78mpmS7Nxjw+Ox7nn/a9f8uYCLqN7wYFDmOWV9mgzKTYmbc2xjwP7PI6+vrFaBmnMPh9laBxx9/PL7+9a/HRRddFPPz89X1iEkZzNgesBUvmdq/PKYMFJpihAGJiwU/V5A79jzPjj8Z/AISzAbnMZqtyXGKIvHQoUMxPz9f+U6/36/mNz+PjnZ5CXa/39+xx6vJvm3H4/G49ngKjoURtV4NxCgysh/zXb/frwA3vpjnlEe52M+xV9qxb5hA2K0UwLXHBKMx8DLIIADjEARelu9MfzuImgFym/w40UVMlkAwaipnG6ZBHoGJBG+mJVesrhwMMHACb1bMgAonJ+D6cQZ53FzP13CgY1wZpHmZhHYYG4GKZOBg50Sck32msGmbQA0g5fpeWsQerDPPHWKA7GtBhXNd3+nl+bE9+TpZP2bMvLTJ3GUgzjjMLNIXgyYSYwbLttnMrFoHmR30Jm+enA2A8gZ8zxt6ghFyYKdPGxsb1fOdSE6u9D0PgJtsW+ibPZqcAztiRgn95GVX65BkYqbAkm9+sZ2SFJ1g7I/o2UmIn7wXj+MzG+15N4BzDOGatjn7abZVvsMmrC/HGfeX8eYi1AmfcXqDfm7bRRfX9hJWBrzEK8C5QZaBQ54D62g4HFbLw7nIMpNnP8aWs59gT4wbQOPly/3798doNIqFhYWaTdkfGQNzMBqNYnl5OY4fPx4XX3xxda4LQOc3+3kG7WbdHU9arVaNufYc87nzD+0bMPmaa2trO5hExzDacm60bbrNM0kBXHtIMAoqAhu1gVSuOjFOJ3qMsIkFwFjY8JyrCCcFB1QczYwYfUBgSwwEMoCMqL+6hfGatnUf0I2DFTSxWQIDAq6L03hpxpvUqagADgRGJ8i8lJuBqhOk5yAvkRmsEZxw4vxQ1SbgCFBCf1zf1T8VPDrzMkITUDFwchWaA3pmJvLnTvxmf/IGXzMwzD9zxpwyNwRR+mVmKPuGdWEW0kHZ7JYTtdlDAzoDV+s5L3nbtlm6iZgAC+93yz5IG2bJGI+BnAEM1wL0Wd/2FwAgSdFzkCt3+mXA7aU6+pmfjWYQy5hddDmBZeCewTb6xx9cxHi5J7MxOQZ6acvbHOjf5uZmLC4uRr/fry2fGogYBBmoopscZ63fpqU1s24ZTNsWDUS73e6OrQeOL2bjDG6zf3s7BzqG4bQOR6NRZXP79u2rzmcJl/HMzMzEYDCoGETagU2cnZ2tbZvI4JPxuZh1sdRkzwa5FFLEZY/D4N7j4nNv6+C6fqB2jpX0iTYcb/Aj6/ZMUgDXHpLsVDguRuOHzNmhnFxsXAQS7xEwSKE9B1sH3Iidt2bTz7wXCaPzMgWJDNC2tbUVvV6vGk9mbnBG68NsmMEdAcMgw8EQ5zHdnZ0PIekyXhgMb3g3G2CWh3nxkpmdEBDH+HL1zjVhLc2uZf072Hg8HE8gd/uZGSHQoFfPm6tL2xB25UrVYzKo5McVKwk3L58yx/SdvTW2BYOE1dXVqlpHP9haLjLcNydpj8cgnL54A7fBr1lMg1EzHRms+bdZGCp0lmNpKydwBH3b/wFxLrQMPG1feQ+hQUnTvjviBcncj5RwgvejPLBD7xttsiMXQ5nNZM6894q5ckwwEMaWGDe+zvwapDvGORm70PGcOrEb+OY4nX3V+mX86AidURTljfO2G/sbxYXjPXaBztCTl1qzndJH7M66WFtbi3a7HYuLi9WcIS7II7Y3z3PX8Gg0qpbsIra3aRw+fHhHwWb/Z56IVwDfvB2lKQa7AHOBTk5j8z7S7XZrhRzjaWI4icPOdZ7riKiB/6Z88kRS7lLco+KqxY7tSiNX9q66MEiChoOIK/SIifHxoEOO9V0ZuQoxyCNRuXKhMiJIuzrA6B3EWaLk/LxRHZ1g3N4EbKdANw6+jLspIUZMnBBd+aGQ9JEqF6f28p4rddozY2RnNuMSEdWTpL0sxzU9JuvGt55zjIHZaDR5XhHj4lgfgy68eRqdOfE6oZihMDtpkJCBM2NxxWhwlpkDs0C2HTb5Mr+ZKfD4mgCSQaM3bRtQsrRgfTQVIWajANgclwGy7dCgIvu6mevsIxFRbfy1nXlO8COul9kR+kXhZd2gA4MdbrBx/6x3M4kGabZjzzVjNWDgOHwCPXqJE99lXlgidvuZZchjdvza2tqK1dXV2rx7fhmb5404aKaOfjiuOc7ZnvFZx077DccdP368Kjwco7LO3G/G5D7brmxngBH8FztBH/Pz89W7EbGnqamp6uXUzEm73a5e8+M71KempqpHKng/nXNSE1jFN3jdlhm/HDccv11Qmz1DfxGTu5q9rYI+OE4Ph9vPK3ORh47wE9uSCYrdSgFce0hsiK66SPiulnFWHCdiYrSuhH3HoVkzO7rX8QFOtONEibF58yafO2jbKTDYnMBsqARRJ9uI+t4jMxe04QqZBOvbedGp+94U7A1UPRY7M4/BQEc+z8ex+dwVbl7atR7W1taqd9Y5oTmgmClw5Zf3izjoG/AYPJFUp6amqlftkNAyi5XZUgKrAx82Z13TF88132OH2HUG75mFoM8G4L4G+nHR4UR9urnleq74uY6XBNlfRwLIYCuDMQCHEwXXhXlwMuAcdOVj8z4ybANdOka46GActMl4EXTjgsF+5KKI9l1wYEOcw/l+RIZtw6CH+NEEEG2DMDr0weAqMw4GVtYFbWPffE9cWltbq87jxhls3ronDgJC8t29ZqUiohaXzLS22+1aHLHe6RPgIPuA2SKPyT7n65nVNkvnpTbH816vF3NzczuKPscr/p+dna3mv9fr1e7Us18xLts7+vXmdc97Zgm97y+z0fZD9MDz9uwz1rEZSo+RGOmxu9j1sR6Pl493I2VJcQ+Jkb2pXju0E5yXKFgCa1pGsfO56sH4cuD1ZnQHVC9D2OgAOix7mD7mmn4mVw7CBIF8225+hIVBDA7iPRo8IZhjvZzlisrJJQcGV1N2OOvcyZ1jndAceGFl+NzLXnzWVBE7EKAbBwr2HXgeI+qPumD89BE9eEkq99HBwzdmOGk5AToJNtmXmSV0vrm5WVWyVM9NgB09s0xAoEc/9N96sw+ZkaDPfG6WB705GHsJkDtv83wbLPgcJxnsBB14TuzLjNl7zdy2r+2ijHanpqZqd5saoGbg46KDJI0feakK2zQ7RVywnRig87n37kVM9rPlGOAN+7RlJsFAin7kRww4lsBAexnUgB9WKmKbwZubm4tWqxVzc3O1x0XQH8eUXDxyjJc0vUTIHPHbYv8noQ+Hw5ibm6uAq4G/WasmxsdbGmxPvkb+ju+JufZB2qdvXnr2igBFwNraWu2uSs5h3N5HxzUch4kFxBzaRwdeUXCBxXgM5BxvDAAdvyikDPAde/jtrRD4kYt5F9y7kcJw7SFxAImov0g506sEFle1dlxXdw60tGs2IwcQB2IjeS+J+G+cgYANS0YlTAXED9S0KxqCQgaTXrKif3YQL6n4DfI+No8NxspPiTe4MsAxo+HN9ta7g6Grq1Zr8loiMxqeLyppBxJ+u1I1KxNRv+PL88rvnAB93QyW/RR2MxXog+sbfJtRoW95Wc8VpQEkc7a2thbLy8tVonB1T4Izg8RyiJfu6B/26s/9P0GdsbgvDuQGIAAOg81crVOFO3k5mdnGYXQc3M3QEeBJak4WOcma1WR8+ONgMKh0mWOJl6/NrLGHxnaWgS99w5+ZnzzW7GueQ3Rjn3PR56Ux331GO7atnMDRCedlsMr8dDrbD/U8cOBAjVHJe+oM6A04GIeBf97U77upmR/Pg23O/js/P1+tUKBD9GFW0XHT8cN3H+eYBmDkO+42h7kzcLAt+jPsGJaUsS8sLNR80G/McKGBfeSiaWVlJQaDQQwGg1hdXa36m4/NxYfny4DYr4nKMdM+mYss2iBeAOKzPrxv98lIYbj2oGBUNnBX8p54szQRUWOJcnAySGi1WrW7TwwU6IMrvYj6+w5t+AQbBxV+O0F7LDiswZuPdxD0C02dLAk+fjSFk53BktkIAqL1TGDPe6kc5Omv23XCRzwOxmvgaJbLTIyZCCcNxtXv93cwJZ4/+sxvmI6c4L1hNAcw9OSknnVlu/D4vFzkfhiUMaaFhYXaxm++Yz7RCf2OmNwFxW/bCXNI/x0I+d4JHDbI7IjBoCtyAzY/wJRxOjHYN/AV7CQHbYMOPsuspMdpXdqvzCifjhXyEn5mANG/QVjT3X2+UcVzYx1i495wjq8YEBh4sBzFtXk5uPfSeT8h4zarjG5tmwZdtn/mzwCBOXAMbGL6zU7b3x037J/YEsWmC5jMPJmZpP+ORTm2uAh2fOUYzuVRCYPBoCp2uYGpaR7NDDFH7o+PNdtPDIiICvD4ezNEjjvWSbfbreKIVztybHchhx1724D3a7GKsrKyUoFqL/vSF2IXMcY+7bhv2ytLis9gcXCJiNpmRC8fgMBJHk68+Q4VzrWhg8x9R6FRP4ETOh0HpPJy5YzxIq4oCDCm8XFWru3KNGKy5weWxc4dsfMOIvrgKh/92ZGtE3RqQITDoUNXpxH1O9W8L67VatUclaBAYvZ+NwfqPAaDkgyCrE+zV4zPSYh5NsOVGZHMDqErAktE/TEK6CRvIHWV7bFlwOrq30FydnZ2R9Iw4LC9REyKiWwPzAM69p40jnH7TjD2D451UZJ1wU9mC7E5g2tfn8+Zr8xwNCWvzI7RPnpxgoEBhDVk03K/32/coM+1PQYDJCdfzslg0YmZ/jOf3HFrkA8bmAuArPu8Cd02Yjv2HWWet6mpqdoyMKAHv7N/WX+M3Ut5XiZGDOwMfnIByvwNh8PqTjkDBfRAH4jJfOa4brCNPWEHGcQYAOCz7fb2JnfGjM3bj8bjce2xFS5qARx8hi4dg82yMUfERubfhZDjA4+hsA/k8ZtBpH0vA7sftJHBtI/zakaOhwaI9k3HEQpR+9eZpACuPSRMbl4+zMnXhuAkSxDKVZsDK4bIHiCzNXYgwBXBBaPCKdw25zIGB1o7kQEgySKP0VWkA4eDG/tUvPzkarjValUb0Z0oHBRzsEPnsCcGt7lSi5gkPjMX1kPWVR6D59POTsAyQMxsJeP0vgaCk5kinpOTGTnAYq48+T6ivjQ2Ho9r4N+g2vPo47Pt2TbQl5cOqTxt01yP9gjO1iH25A39Tj7Mm0EyfXHSZFxm4TKjmXXC9bFF/8342Wfotty2bcJjwPbMvGbd0h774ZaWluKee+6Jv/3bv42DBw/GtddeG4cPH67GjNBGu92uFWiZLTfI4GnnBmK2O+vUnzNPBhJmgxzbcnFon3Fhhw0YCJuh8z4ggwOuZ//zXCCOB45BLuw433eC0nZ+1ANAg+LOccVAxEWDdc//7ndeojObZ4bMvklbjjXus+fJ5zA2jvW10bevBxPvmJDbYHUF+8XHXHC5/5yLH3gvp8dmtpG4gi69UmKbwIZmZ2crwEl7tJVXMuz/nuszSQFce0gcZG08OGfEJMFH1FG7WQLE73gy4MABACXdbrdGZeOABJ6ISSVFP3M1YIaGBG3ndcVicOhqynRtdgwnCY7JeouYLH2QtB2QfBeSwaKX2LwXhoTkZMeYXMV5yZfr5urdwSJT3tYjid06d8XnPRq5unaipu+M28uYTigGJejaTKdZOACEbY/+MR+ea4/N/aWqxA6ZI+Yf3fqly8yb2VSzKWYzM3j1NWz/jB1GlfEzHicI5s0ANPfbwM5tmxHJwC4vIWJLVNDZdw026C+MzsrKSnzxi1+MY8eOxbFjx+K5z31uHD58uDYXeZmNsdqnncAB1O6rfZXk5yVKv5/SBUruh4Euc0U/PO9m4G1/+B/2xHXNcpjF4fh2u10lX+wkJ1DrIjPR6DzblvuDOE55VcLgJccAF1keg2NWE2PH2JvAUs4ZfNdut6vHjQBYzXjSB5ZXm+Kv559rszpCzOR62BN7vHIRZB1wQ4/1RpwlxjM/6MIMmovwzHSZBMAeGRO2w7g8t4wTwiLP95mkbJrfQ5KdwwjcKDtX5ARikhW3OEPr5zs3HGhgB/KyDv2x825ublab3umTgw59cDtehsC4HVCg8A22aMtBz87Ij4N+Bg7WacSEifG4DcBcATuwOTkR2J1gqU59ntmgvPHTTBl94m87PDoELDEWdMzyjMGfEwXzmcF4BkIel4O9gafPAeBYnETMlvGdx+9AbZ3l6tkJGJvwE/Tpi69n3bhazj8OvmYasCH/kBAYgxMuPmDgkUGkAT5j5Dz2KplpZU7yQy6xBT8c1vsbh8PtO9wOHTpU6XdhYaFqz2M282ywZXDOHJh5ZCyORwb9jJnH0XCs45a3GTDv3lpgv85LWy7YnGiZI2+KdjzwPGb/yOxxLmawN+IUfnC6Z9ehL9upY+JotL0Mxr5TdIaverwGRwY9vlPUxRjXNegwwGXe0NV4PK7eNuL4k33WhZptiH7lojzHU88vc2D/oN+szvA/dyfn3MA1GA/6tM49dvqGjnxTgmOFwZUZaewF23zsscdidXU1vhkpDNceEwIoAcP7NJxAIurLeBH1u4LW19er91ixQZiqjATjZR3QvAGBq8umKiknhuzcZp34zgHVVbBZAC9XmLXz05kNrkiIDoCu3lzReiwejyszgo+rM1dDBmGAIS9xLi0txczMTPVUfdo6HeNhyWCUYEc/0S99994qL6Mw3378gkFDZm78OAnmlWvmfRdm9NAH43DAM5PH52b+Mpj13LMEw14cA1fAjZczCeyuoj2f+WYSB/rsX3yHf1FhMw6zNgYJeS8HSd3JjDlDvETqhGIgmROT7YJz2aT83d/93fGc5zwner1eHD58uHqwru2DOXPizCCH7x1jAGNU+NiF98A0nYcfbW5uxtLSUqUD26D3X2Z9oYtOZ/vxAzw/jr44gdpG7V+ZsTSw96Z964M59SMmtra2KptiXI7X2JaZOoMmYlFEVEtpZlkN6AzcsVMvfxq0Mj77lkGlfcy6os8sF6MzF+eM3ftd0RfSVKx73yNA3PGO9vBPfJTvzNhZv84XnlfHSd+c4e/QrVlNxywzz2Z5mefp6ek4dOhQbc6fzJ2KBXDtIcmAoN1uV46wtbUVjzzySBw7dixe8IIXxP79+2vVUJ507rIwvW/KN2Ky5GjAZkPFOWjDjkt79NsVnKtonMLJkr9NBWdA5zb5PD9bx06Ig2YKmATiDeeIgxdBNL/81ImQsTkw01+AxWg0uQPPAQxga5bDupueno7BYBCtVqu2JOrlTubKAZWgnIEffTLrQl8ziHag9qZmz4ETlf9G2MDsfmJvtm+zrRmkAyhI6BFRe7q8mSjG7veBorN8Z5mBhW8cIZj6ehQiTmYucMymGZgbNGA3Zjg43w/U5F15zB/Vv9lFxpbZXNuxr3fw4ME4ePBgbcM3+uU4/s5663Q61aMCchGHDpk/lnvMkDk2kBC9dN7pbL+jj2t6r5N902N3wuZRFOPxuNoAjr3kwsXLX9YDespg2+N1u3kbgOc3v4PP47TNkZQBb7mIso64FiCIVQUDe357GZxi2rokFmRA6lhk27Mu6Kf3nvGIFOYNH/MyddPeRB/rvOL5tr+4MHIx5SKbeGGGjX4NBoOqX91ut1YAcK4LX9uHH/GCPhi/H5eT29ytFMC1h8QVGX87KR0/fjy+9KUvxaFDh+LAgQO1ytyGwFKDKwqcx6wRP5nFsYHzucGLWYRcYZnZ8n4CV2C5yqLfGLfB2tTUVPWOLwc7H0OA8KZm38Xj5QraYYmAz/NSIQ7rhMJ1MnDzviIAW67uHGxYxo2YJGE/jNTMkxOi2QMDJQMb0+DMEXrke1+L+eU8No3mxMG4bRPMMXPCmDNT6f45yBoMuQLm2MwueFy00e/3ayyAmQvbufWEPRrsRkwqduwDv8rFyng8rr2TFDCAjVg/Zjpg5biGQTv9yHOWizDrwEmJ9gEB9m+DWo/bRYV93t/Ztl1keQN4/s5MBG3RbzNPXlbCBg2M3BZ/w9jZ9r3k6r7y4+cCGsgYFDiO8TesOHcXsuSVYx/JHx26QPQYcuGWixn6zdw67uGD6NA+i/hGGNuNz6O/jiGAJMbGHNmXXHgasGRd4BOOU7lQyHr30jQ+49yX84p92QXecDiMb3zjG3HixIno9/tx4MCBHcvfJhHMkA2Hw2q/WAZ71pWLhDx3u5ECuPaQOMnxvw32277t2+Kcc86J/fv31wzSIMEUupeR7EC5qomYBFZXxKZ0vYxBMqBtJzwndztM7h93PXG8jRoniIiKwWC8JAwSjPsQMWHrXA05AOW73DK7htAnJyXapU0nKPrIMZzHsoSZkTzPBDov53iuHLgcEAgy+Q4wrmuAR7VugDAcDqPf7+9IHp4nxEwE/5vRcIL1nT2utJkHwH8GzQ7w4/G4etMAOmP/km/GaArwDpj5jjF07uCdk7Xv2KJNLwO6qkfXpytOcmLMy0wGUugob8h18Pf1ET9fiXnHLrzUbSaUJWfazUy040qee0CFHyvDPLnIM9BtAohmCVZXV2vz2+v1aswVtkk/80ZrjqFPxIa84drzYbs3A0PfvccTdoNCDeaEPqB325rt07HEhYiZYW8+N2h1fPLvDDy95Mx4AByj0c5XktmuGKd9lnnzcj55w6CUeYPxtS+7eHVB1cQiZ/0Y+FvHfObCsd3e3sv15S9/Of70T/80zj///Hj1q18dR44cqRXv2JMf0ZHtw/YEk4t+KUrxHceU3UgBXHtI8mQ7GODw7AvKRptZpVzh+T1nEfUqngCI4Gzt9vZ+A5a63LfMvrERc3l5uTrO+3f8YwoaZ/D4bcgE17x04SoHXUXUNzfSlkEY18l3GZlBIji5707I6M8sDW3Ozs5WuvVtyA4WBicc66RHoDSjaJaD8wh0DvZNyZUxGzyTjJtsDp076RqYG+Q6iHMdM1bMifXuuc4slJkGbNzHZ2BKUmjyGebcoNn985zbDp0ESJYstfk8xsh8eS+QWQwnT9sPwAAdMS6DZgNOjzkDF+aBZ5tZ9y4IDOD5n837bEOwzrEnlpq99OJixcDAxZrnjjkwC0SSfvzxx+OrX/1qzM3NxZEjR2pLWPZp71nEh72XKIN+69P+5/l2XzKY9w0iZuyZBxdLjk+ZxUavxDH0gh95n2ITeGeJzwU0YwXIOBZz8xSb+A060JOLcuY3+3kGyfZ1H2cQTPvYSQbgjml52dy2YnANCDSgp9CwTTz++OMxHo/j61//eq3YGo+374zsdrvVnFgPHGffdbzM8TePc7dSANceEletuRJeW1urrVvb8SLqdwBG1PdB5aDD+bOzs9UtwfmOHwIhgdvB1ktOgBP3xQ+odDJlLOxRIohE1DcGGwR6MzfBhbYMmpzUzbg5oZthyXsCXBU6GEdEDdhyLGMzE5WDSWZuHJg8tw7irrLprwOWb3zgmu6Px27q3w9iNYUPGPf8eW+bwZ0ZMPrrJ4/bVswSOSjRV9tTrojtC5mNsG6ZSzMr1hX78rALB19swEVIXnaAefCc2I4NAm0DDuZZHLgzMPPYGANt0F/6jrTb7Zibm6t0ZR17yccA36DId4I6mTA/TaySx2522mDUSSknWs8Hn83Ozsbi4mIsLCzU7oLObZmVYPwZSOdYgMzMzMTq6mpl94yHRA6jYabHWwPch1wooDOD9qa9cAZfLpZOB96adMsY6Z8LN/QLw0ebFMQ5ZllHmZn2WHOuMbOZbco68NYUgKNZKQNqn+elV/sFYx4Oh7V9fLBtV1xxRRw/fjz2798f5513Xo2N89Ip/V5dXY1er1crfmxbefUG22kq6HYjBXDtIckgwUbmqt6JPzM83suUmTAMg88BPr4jLSN6ghfJy5WS9waYOWEsbsf9jZjcyWhWJrMTXBNn8GZodIND5Sp2ZmYm1tbWagHGY4yYbIp1dWemwcDEgM2MAdfzUqPbynfT5Of/cJ6BI9czOHJAyM83M1DzTQ9+fY3ZGYKzmRcDEAc2+m5w6iVKxg/N7qCa+2pAgI5zoHUycWVu3ZoJM/iib3xnNo55ZJ8GkoOlQWe+1Ry90a6TJvZgvwPIopsM6O3fTk7YlwsYxkb7GdTlAsDzaF/LzBzMVr4eccE2DPDOBRe6iZgwkL4WuqHfBrD0eXFxMebn56PVakWv16sxc7ZzNi+7+LPPOEFzw4UZ3zw3jNf94jqMg3FzDQMLfNLn5n7Y1gwAPXeMz+Cu06k/wsD24usg6IU4DMDwcqgBkueFz/1u11arVVsmdOz13Bh8GczZVonluRBn/IAvA8+cE2wH1qWvd8kll8T5559f+br92ufjA91uN9bW1uLUqVNx8ODB2mNQDFa9VMrYm5jrM0kBXHtISMCuCpj4XGFF1F8x4WNd5TihORAb1OQ7eriG26J/vq4NHsejDZgTAzsqCdp0oDSw8G3X4/G4dqedqzRv0naF58CeA78Tf0T9aca5kkNHJCB/7uDgYGAd5OqYfjlZNlWJBg8sTZhdcP9JmF5KpB98jw7YS+bk7ATvwG/gxBzkJJSZB1fMfnSHWSLrhzn2nUGMG3ExYV02JdnMwGxtbcXc3FztNS+upjO7mouZpuVI24wTo4+znTkR+9Er3ltkts42TLu+qaIJLNI3J6HRaLJnJ7+Sy7HFOvRbFqwbxthqbT9+gjcYNPXB/sfYVlZW4v77749/8S/+RczNzdWWq0jyGXRnZsjxz4DXevINB+ggImrMhe8sdFHBdc1kexyOby5e/Dv7oNvwDT38YBeM28Wa59H+n+OUYxvFgAsv2s/MjnVqgOz5d4zlPPfLqwIZjPA/+mXJz4CWfpInXFgxTvTpeOStKh4HczM3N1eLPVm/HMcxMzMzsbi4WO1rdHHAb/fNxa19YDdSHny6h8QVCEZFpeIKNVcf7OWhDX681GenMIgjiLhtP7nbbIJRvqsrgg2OZCYsJ6nMBEVM7qbDseif7y7i2k5KjJ8++FwEkOYEYcYiL+/xmyA6Ho+rSgkH9vIr43CgQkc4LlWTE7V1zucGvoyDgGMbMStC204k1oODJcJx2V4MHj1nBvBNoJQxZABugJkLA2zSSyLYgkGibc82QN85h+s6qbCvyknGwZQElZO6E5l9xsA4FyNmFGwb/J+ftm3G2AEbXcCw5TlwQjbIQC+0x35CwF1mm5hfYgssjm2ExzA4sdEns8b4Q97fxzUHg0E89thjsby8vAPUokcDEgP/iKheT8WyGHrIhZBZ1U6nUy2DY3+eb3TdlLDtq/QzFxl+wKnjHN9nHRtgYU+wJy6czdCaYXHRQkyzTTmmZXvy9wY2nlcDG/qfCx3mxo+fcNHrdvLqhtlA+zE263zBtWD4DOYcY/k7FwX02fGAefdSNX2bmpqqvXPURdzMzExlExzLeA2edyuF4dpjgnHY4QlkXjbDIAkGNj4nCBt/xGQ/kven2KHMHBDAXBm7+uU7G2h2aM7zPqzT3Y3jNqempmpLB4zdzu7K1AnAlK+Xe+zcdmCCgZ8jZVDipQjmiD4aEDVVrbRFfzjfTup9aQZKDhhmQjwGLxd7PJmNdMXmBOPE1rRRPgcTL+V4z0er1aru/KFt/zaAMaCkcuX6ZhoIkF6KyHbsBMxx/O/qHPBu3fKdr2W9o0fmzf7moojx2YYNltxH5sD+5SRiBtD9gK120jXTmUFMLrQyGLcvowf0y5x4Hjz3nteIqBgYg1AXXgcOHIjv//7vr8Y8Ho9rm9GtA/528rNN5wTtQsnAzYDFxaZ1yZhc4AGA/JiYXERl9s0MkQtTrmUm17EBUOvH8pgN42/rnmtn/0KYR69CNDFHPBcMXVG8Mn4f63kgfvO3GUCP18waeoLNYqzZ/vwdv138ZFabGMRnLmR8wxLFRI6bjp+ZlcR2mFP3M7Nn9vszSQFce0hMGzPROIBpZZgkjkVcXeRlDjueKzVXFRF1etkGmg0yJ2aumysaVxEYtveBcA7gCmdqej8eiSRXlP7bYMpBw4nO7Avn8duAl/YYo/VEcPA+p7yBmKDmdpsqNFfcBPUmRgLJgJKxkHBGo1FlMxsbG7WlIr5nT5wDj3VkCj+iDnRd7cEU8TLaJpCI2MbMuNkWuS7Vs4NuZgA9JyQ0zzHnZdDJGJjn/JBH2703/zMvtJltwxW2wYcfXJnBHG3ZblxAGSgasAOIAAcczwN0sz9YDwba9nODHs71c72YU47NLwxHsg4MEm3r/PZeOdsF7ZiNbfIHbBHBJsfjycNlM+DPRVCOC9hT02usHOc4f2tr8vgAwJoBemYFscPMZhkwuZh2/3KB5Ln3fGO/PLvMxYJzQ0RUy87YpK+LzrMtuVCx//b7/VhbW6tss9WaMEUeowF4BvYso7tYaWLUXKi6CPRYmCfGYl0wT7yyLjNpHGuwjY14f+pupSwp7iExw8FEbm1t1aplO8PS0lI8+uij1bsTIyZ3AEbUXxZqo2CpwVULt9dmwOJN2BmADIfD2jODvDRI8vPGYl/PFYJBohMVDpj3I/HjPjFeV+E+nvFsbGzE6upq9b/39hAA6EdeIgL85icOR0wCFkmyiT2IiFo168CPcJ2c+Ahy7puTgYO3QQFBiL56HtCZASmfOUEbTLh9j43lqMyWOKm7Umx6XpPBj+fRdst+Dwd6bCgiavZGVWsfoN8kRdsd5zI/ru4NSOhfXhLMbIDBXwZUvk7eSGxggLiKtg8Blp1EzTaR7AG/LM9h6+4LestsMTrMidz+7DnwfBpg2K8NWDmHsbkYyzf78NuFSsT28/p47x5t2idp30WtQYVZC9sr/eS6jnOedwOxdrtd6Rm9+FgXvPbvTqdTe6yMAbZtxHtamxi/PA+bm5vV/Pm9ufZPA0XbXdabi29fNxeaXBfgyvXoXy74c3HtcdrvsEVisIu6piVW5tF26CIVoR3AH8d72TpvS8lkxW6kAK49JN7T4A3vGKyDqvcprK6uxmAw2JEAchWDkeBYTpquUCMmSySuQAhIDqg+z0HGRpmd2A7gStmJ0OdG7Hw2koNfXurIGz0d1P2OQwOqDBIMbpt0CRA2mMtJn0BhUIWzO0kCkg3C8nkRk6fYe4nXukFfTvyuAp2EmwIruvOeH3Rm5sH25YTN2D23OYlhNwZY2BdLkozb4J3vAWrYulk4B1ECdE4Mjz32WLX0yNi8qZo2zRwYeDqpOqF6jAav+REetmPbZ9OylAM/+mSu3KaBp8FlZg7xCy9hW9+Mx3bOcewZso9nHWT/GI1GMRgMauw8/bNfOwE7QXpsTvQZoBIjvfke2zIjA4PhpSJsaX19fYf/0E5mwrPf2R/sO47XTSyfbcAJ3H5mm8m+TBuOudhRp7O9/4k7NR3r0YsLO/oEIGHMGcx5TP6fOSQeZzaPa0ZEjbXiN3+7n7Z127/BW0TU7JrjmFeOz7mPdn2Hep5L8nCec7eZgf+ZpACuPSSuWn23DGLkPh5v0+UHDhyI2dnZqjLCAFyx27H58UZMJ4yIyXKZA7sTmNk3Vx52EidemCEzWRH1F6fiDHmcBI5czXBNB0Nv+qUvrswdAEwrEzBgT1wp2cG4LucbnJhV8T4MHNf7QwAQ1q8rcxKSk6OZLwJbdnQzi5mBM3vi5Wj+duDwwxK9tMFxDnxcw+yog2eu5vM4GZOZGMbq5IPu6IMrdD9jLIMugyMnQ88LvpYZF8+h/cfLjltbW7G2tlZjY1g+QZcZjOUiwPPnhOZlJ/Rlf862ZXswoAd8MCd+7pTZn1wItFqtij2n/zAkjC+DBc8pIAc/RM/0gf6giwyGbEsuogzoadcAGRvd2tqKpaWlGpjCJplDsyksvaELrsMcZnaM77130XHJ4Nw6dixyfMobsvk+6wdxcenvmQ+vjvh4dOfjc6xHN+gWe8lgD53j29imC7bcd/sJklk7gyzHD9rmf3zdqw9m/Xw81/c8mml3QY9doheTFi52mfPdSgFce0xczZixIrEYVM3MzMT8/Hz14EOzJJzvxO4qyxWYKxLTzhiSg6mrAAJ5Zr+4NudytxMBiOMdWNzvpqBHlcQ1aB9wwPlmrWgj30FGHwxsx+PxjsBsdiav4+e7nQw+mS+fa6YQ/eZN57lCti4Inu6fz7Gd+LUcDga5cqTvHOsgZx0yxySe/Ny2XCSYrWH+XTlyXVedmUHLjA/XBawyBrNbvhkDezFbNDMzE4cOHaoxkEin06n2WnlvmgM248Wvtra2YjAYxKlTpyp74nuu6/7TZy/Zo19X31xrbW0tTp48uSM2ODHZzpg7zyHf8+ofJw77q0GOEw2FHP7RBE7t+54z9JoffstY6IeLBNtlZgOZG743oMa26bvt/tSpU7GyslIDZ9Znu92uAQrPAb/5LANl+6j32z322GPxhS98IVZWVipmlnYMTgxOPRbPB21bt4yd7RFe0jRLxf8uUmx7jiMuanMhZqYPHZqBZa+o5ww9eZzWIX+7GOIYr/bYBsy8jUaTN7A4Rvsc94M+MD7bOZLHjT8AqilciImOqbuRArj2kHhvBE5IMMjJ3OLgaWTvv9nAGBFV0reh4WwRUQMHpmVxptNtFsTos7M5UAKQzLJ5/IwxVxEeiytaAy32NTF2rkG7JDv6Y7bGwS6zDmYKm2hxA0lvuHe1npkirudE7TkwOPaDL613qnRYMwdOX4MA7+BgoJOZA3Q9HA5jbW2taseB2EHcD3/kuhQEtgH6jE7MNnAeeuDabJz1PGB/mdHKjKXZW4ME9M5YIyYJjSTiSr+pqmWMvV4vFhYWotWabAwmSMMkGSibUTArYjaBOZqenq49vDEne+aUfpsNYD5gYQ2+mEvPge2ZecamOb7T6VT9wRaxg83NzRgMBjV95316nJdvkGGJ18uhm5ub1X7LJuYK3zeTzpjtH/1+P9rtdgUWzSIa/ORlwpz4mZ/M7lic+J2k6Sfn+W8zUcy7l1GtN1/bAIUiOe/Jy6wRtuXrwzJ5vPQRW3D8dhu8JodizHt4iR/MseOLbQrhmsRv77F0gZtXNswAMncGz54nx5GIqM2Pc4jzpxk8AzTn4ycj5S7FPSQOFhgU+xJWV1erYJfZAjulaWyqegCWnYAg6YTrZQezHfSHv800mSnz9TPLYyaJsToR2dkYkys0ruONmIBIMzk4C/px/5w8IyaAJYMgBwr6mMfItczGRcSOp1vn9ny3mysy9xO9G8jABLBsSjDgPP5G1zlhElC83MadQLRB8PKGZido2w99JdiaETRbYf0wTzmgYVf5DiQYNd7laZBkW/NSoyths0v00+04sTlxZxbHc+gEzfW5QxPfYA4BV2ZMMoCz/Zu9iYgqoXmObbv8D2BxUsvgnrlGv75L1UAPfZthQAwmzBIy9vX19Zidna0KRNuAdeAk5YRqcBix/a68lZWVWFxcjLm5uZq9G/xgf+gTPfD5gQMHYm1treZTOS6YdUS3Hrt91TZtJsRg97zzzot9+/ZVG/cNPG0X9kn7tOeO7wyEfG0zV4Av2uJ7wIXHhk8g5IRWq1UBOBfq9jOzv+6H+4AY+Occ56KXa1AAOD5kgJ/t3IDZxYQ/y8J8ZcbWecPiOcnt71YKw7XHxE6P4UfU963wv40cMOL/jfYJQBn0OPGRcL2c5A25ZjTMHJlVwVHyXgAcAmf10gVBIN8c0OQo2WFJzO6bAyVjgtGzc/quJrM31q/ZNFd37kceI+fRJktd2cG9fykHULMw3gdE+5kRMTvA32bMHCyYbwNsV6JetjDY4ny+57k6ThgGG+4vAd+MlPVgWyfYuZCwrvmeefCyaw6aDugGh4zbzJaXzOgz7dvmvAzkfmTAw3f2Awqo0aj+sugMEh30nXjos5lnA0NfG10ZqPAdSQwfz/aMDg2QcvFg5mRqaioWFxcr26UfBpiZDTDbZCDopLuwsFB7Ejmxg/64IHOssG3NzMxEv9+vsTRm8fAxF1y2VR6gah3aZ4hDtk8XAgYB1l22E/uzGZemhO6ClD44HtK+C0XiiOecPmRwwlKd7ZqxZ/Ds/x2zfKc616Qv+Lx1ZwYZ/6Rd+7QBKZ+b/TOoNkvtc9hfmIttX4+5ykwckuPybqQwXHtMjOaNsjudTu2J8jZGAxSCD/tRCDwkV1/HgAfjygHcgdnn0L5ZC+8XM6vlh+xFRO01MV7qcLXoisgBqokhcRLw5vyI+u3m/E817TtBrRc7pxOiK0NfzwHYwM/ABHFwMzuQAzBjRTeu6J0osy3wve2CY52IYT99XFMCdN8I5gaFGRg7ATpRMCfZ3jL7E1EvOuhHBgsGXk6aTUvaPs7AhL5kBgxdoRO/GsjJk7/NamXgg+4NCCiMzOYA2L08iu/Z/9y2iyGzwTkemBmNqD+Z34CMAoo7/vJ8eE6YM7NKuYCDtfbYOMeJ2+x2ZjuxZdg4Yo7nw3EPPY3H49orwigMaM9xNmLyonKDMLNKGfTkYgOgyDhyzEB/6NfAygASWyBmU4yib8dF7I85zoDHz5Dzsil/mxWF3WLcnnMXXo6ZxBLHC+beOcxxc3Z2tvb2BxMKFD9uz3EGHZiVzzZM0WX7zUDZvus8y3WdixxDMnOWC8PdSGG49pAw2SR0gxSMw5UgkitJDMZLWhH1u+6c4PLehohJ0maN38HUideCA7Mp3EHc1YKXD+gXgcOAjnG74iVgEXy9aZJx8TsnOgcrB0La8x0uBA3GwO+8p817Z5xQDXSYDzu4WTcnJF8fPfo5bNap59Q/zLer9JyQcjCy7fjuIRK4bcOJKV/LlXRmHXj+m5dZbG9mWgwM6asZgwzYHFCxFbMc2ET+sS9gB5m9YPwG/V7u7Xa7tb1NZsWsA/rY7XYre7E/OhEY9GM3tpXMBtBX24qXtT1vZtysXy/P0x8/QiAiakUQfWPubAf8z7PTnMTMjDiROWZZ3wZafpgw9pmBuIEF/fTNPbZjrgebZODYlHwzUKLP43H9WXQAJh/PObYHbMkrA/hlTvouLAxWLIArGGUXz8wP7bFPzqDC4zHbap9gzm27o9Gott8w99vXxI6wJfyOcdu2xuPtm0cAacRoxx10an1wjouaHCs9btuEYyhjIT9wfd+V7ZWRM0lrnLNmkX9yOXnyZOzfvz/+3//7f7G4uPh0d6dIkSJFihQpsgs5depUPOc5z4kTJ07Evn37nvDYsqS4B2RpaSkiIp7znOc8zT0pUqRIkSJFijxZWVpaOiPgKgzXHpDRaBQPPfRQdXt5kbpcffXVMTU1FbfffvvT3ZUi36R86EMfiv/yX/5LPPjgg/H85z8/3vnOd8aLX/zip7tbxbaKnDUptvXskPF4HEtLS3HRRRft2OuXpQCuIntePvKRj8SrXvWq+NSnPhXXX3/9092dIk9SVldXY9++fXH06NH4vd/7vT01h8W2ipwtKbZVJEsBXEWeEXLkyJHYv39/3HnnnU93V4p8E7K8vBzz8/NPdzca5ciRI7Fv37646667nu6uFPlnJsW2iljKXYpFnhHyzne+M+6+++5YXl5+urtS5JuQvQq2IrZt65577im2VeQpl9/6rd8qtlWkksJwFXnGyOrqavT7/ae7G0X+GUqxrSJnS4ptFUEK4CpSpEiRIkWKFDnLUpYUi3xLcuzYsbjmmmue7m4UKVKkSJEie1oK4CpSpEiRIkWKFDnLUgBXkW9ZNjc34/Wvf30cPXo0XvOa1+x45c+3KseOHYurr746brrpprj00kvjP/yH/xAf+tCH4rrrrosrr7wy7rvvvqfsWsvLy/Hyl788rrrqqrjqqqviox/96FPWdpFnjhQ7KHK2pNjWs1cK4CqyK/nt3/7teO5znxvdbjeuu+66uO2226rv7r777viZn/mZ+Pu///t4+OGH42/+5m+q7z7xiU/EDTfcEBdddFG0Wq340Ic+tKPtX/qlX6q916rVasULXvCC2jF33313/OIv/mLcc8898fGPfzw++clPxmc+85n46Z/+6Xjve9/7lF3vox/9aJxzzjlx1113xZ133lmen/MMld/93d+Nb//2b4/FxcVYXFyM66+/Pv78z/+8dswT2XSxgyK7kV/7tV+LVqsVN998c/XZmeJZsa1nrxTAVeSM8kd/9Edxyy23xNve9rb4/Oc/H1dffXW87GUvi0ceeSQiIi6//PK44oorotVqxXd+53fGsWPHqnNXVlbi6quvjt/+7d9+wmu88IUvjK997WvVj0Eb17j88suj0+nE0aNH4wd+4AciIuKqq656Sq931VVXxSc+8Yn4z//5P8enP/3p8m7LZ6hcfPHF8Wu/9mtx++23x+c+97n4V//qX8WNN94YX/ziFyPizDZd7KDImeSzn/1s/N7v/V58+7d/+47vniieFdt69koBXEXOKO985zvjJ37iJ+LHfuzH4oorroj/9t/+W/T7/fgf/+N/RETU3hLvN7lHRLziFa+It7/97fHqV7/6Ca8xNTUVF1xwQfVz7rnn1r73NdrtdvV/frP7t3q9yy67LO6444544QtfGLfcckuNPSvyzJEbbrghXvnKV8all14al112Wfzqr/5qzM/Px6c//emIOLNNFzso8kSyvLwcN910U7zvfe+LAwcO7Pj+ieJZsa1nrxTAVeQJZWNjI26//faKUYrYBjk/8AM/ELfeeutTdp377rsvLrroonje854XN910UzzwwANPWdtP5noPPfRQzM3Nxetf//q4+eab44477jir/Shy9mU4HMYHPvCBWFlZieuvv35XNl3soMgTyRvf+MZ41ateVbMhyxPFs2Jbz16Zero7UGRvy6OPPhrD4TDOP//82ufnn39+3HPPPU/JNa677rp4//vfH5dffnl87Wtfi1/+5V+O7//+74+/+7u/i4WFhafkGru93l133RVvfetbo9PpRK/Xi//+3//7U379Iv80ctddd8X1118fg8Eg5ufn44Mf/GBcccUV8dBDD53RposdFDmdfOADH4jPf/7z8dnPfrbx+zPFs2Jbz2IZFynyBPLggw+OI2L8qU99qvb5f/pP/2l87bXXPqm2ImL8wQ9+8IzHPf744+PFxcXx7//+7z+p9p/u6xXZW7K+vj6+7777xp/73OfGP/uzPzs+99xzx1/84hefUpsu8uySBx54YHzo0KHxF77wheqzF7/4xeM3v/nNpz2nxJciSGG4ijyhnHvuudHpdOLhhx+uff7www/HBRdccFauuX///rjsssviy1/+8llp/+m+XpF/GpmZmYnnP//5ERHxohe9KD772c/Gu9/97njPe97zT27TRf55yO233x6PPPJIfNd3fVf12XA4jE984hPx3ve+N9bX16PT6dTOKfGlCFL2cBV5QpmZmYkXvehF8Zd/+ZfVZ6PRKP7yL//yrN3OvLy8HP/wD/8QF1544Vlp/+m+XpGnR0ajUayvrz8tNl3kn4e89KUvjbvuuivuuOOO6ueaa66Jm266Ke64444dYCuixJciEykMV5Ezyi233BKvf/3r45prrolrr7023vWud8XKykr82I/92BnPXV5erlV2999/f9xxxx1x8ODBOHLkSEREvPWtb40bbrghLrnkknjooYfibW97W3Q6nXjta1/7pPv6T329IntTfu7nfi5e8YpXxJEjR2JpaSn+9//+3/Hxj3+8esjkt2LTRZ69srCwEFdeeWXts7m5uTjnnHOqz0t8KXJaebrXNIs8M+Q973nP+MiRI+OZmZnxtddeO/70pz+9q/P+6q/+ahwRO35e//rXV8e85jWvGV944YXjmZmZ8eHDh8evec1rxl/+8pe/qX7+U1+vyN6UH//xHx9fcskl45mZmfF55503fulLXzr+2Mc+Vjvmm7XpIkUseQ9XiS9FTiet8fgpfg9LkSJFihQpUqRIkZqUPVxFihQpUqRIkSJnWQrgKlKkSJEiRYoUOctSAFeRIkWKFClSpMhZlgK4ihQpUqRIkSJFzrIUwFWkSJEiRYoUKXKWpQCuIkWKFClSpEiRsywFcBUpUqRIkSJFipxlKYCrSJEiRYoUKVLkLEsBXEWKFClSpEiRImdZCuAqUqRIkSJFihQ5y1IAV5EiRYoUKVKkyFmWAriKFClS5Bksm5ubT3cXihQpsgspgKtIkSLPCnnJS14Sb3rTm+JNb3pT7Nu3L84999z4hV/4hRiPxxER8fjjj8frXve6OHDgQPT7/XjFK14R9913X3X+V77ylbjhhhviwIEDMTc3Fy984QvjIx/5yGmvt76+Hm9961vj8OHDMTc3F9ddd118/OMfrx3z/ve/P44cORL9fj9e/epXx2/+5m/G/v37T9vmsWPHotVqxR/90R/Fi1/84uh2u/G//tf/iuPHj8drX/vaOHz4cPT7/bjqqqviD//wD78lfRUpUuSplQK4ihQp8qyR//k//2dMTU3FbbfdFu9+97vjne98Z/z+7/9+RET86I/+aHzuc5+LP/uzP4tbb701xuNxvPKVr6wYpDe+8Y2xvr4en/jEJ+Kuu+6KX//1X4/5+fnTXutNb3pT3HrrrfGBD3wg7rzzzvg3/+bfxMtf/vIKxH3mM5+Jf/fv/l286U1vijvuuCP+5b/8l/H2t799V+P42Z/92Xjzm98cd999d7zsZS+LwWAQL3rRi+LDH/5w/N3f/V284Q1viH/7b/9t3Hbbbd+ixooUKfKUybhIkSJFngXy4he/eHz06NHxaDSqPvuZn/mZ8dGjR8df+tKXxhEx/uQnP1l99+ijj457vd74j//4j8fj8Xh81VVXjX/pl35pV9f6yle+Mu50OuMHH3yw9vlLX/rS8c/93M+Nx+Px+LWvfe34la98Ze3717zmNeN9+/adtt37779/HBHjd73rXWfsw6te9arxW97yll31t0iRImdfCsNVpEiRZ418z/d8T7Rarer/66+/Pu677774+7//+5iamorrrruu+u6cc86Jyy+/PO6+++6IiPiP//E/xtvf/vb4vu/7vnjb294Wd95552mvc9ddd8VwOIzLLrss5ufnq5+//uu/jn/4h3+IiIi77767dj36sxu55pprav8Ph8P4lV/5lbjqqqvi4MGDMT8/Hx/96EfjgQce2FV7RYoUOfsy9XR3oEiRIkWeCfLv//2/j5e97GXx4Q9/OD72sY/FO97xjvjN3/zN+Omf/ukdxy4vL0en04nbb789Op1O7bsnWobcrczNzdX+/43f+I1497vfHe9617viqquuirm5ubj55ptjY2PjW75WkSJFnhopDFeRIkWeNfKZz3ym9v+nP/3puPTSS+OKK66Ira2t2vfHjx+Pe++9N6644orqs+c85znxUz/1U/Enf/In8Za3vCXe9773NV7nO7/zO2M4HMYjjzwSz3/+82s/F1xwQUREHD16tLE/34x88pOfjBtvvDF+5Ed+JK6++up43vOeF1/60pe+qbaKFClydqQAriJFijxr5IEHHohbbrkl7r333vjDP/zDeM973hNvfvOb49JLL40bb7wxfuInfiL+5m/+Jr7whS/Ej/zIj8Thw4fjxhtvjIiIm2++OT760Y/G/fffH5///Ofjr/7qr+Lo0aNV2y94wQvigx/8YEREXHbZZXHTTTfF6173uviTP/mTuP/+++O2226Ld7zjHfHhD384IraXKP/iL/4i/ut//a9x3333xXvf+974i7/4i1p/b7vttnjBC14QDz744BOO69JLL43/83/+T3zqU5+Ku+++O37yJ38yHn744adSdUWKFPkWpQCuIkWKPGvkda97XaytrcW1114bb3zjG+PNb35zvOENb4iIiD/4gz+IF73oRfGDP/iDcf3118d4PI6PfOQjMT09HRHb+6Te+MY3xtGjR+PlL395XHbZZfE7v/M7Vdv33ntvnDx5svr/D/7gD+J1r3tdvOUtb4nLL788fuiHfig++9nPxpEjRyJiez/Z+973vnj3u98dV199dXzsYx+Ln//5n6/1d3V1Ne69994zPmvr53/+5+O7vuu74mUve1m85CUviQsuuCB+6Id+6KlQWZEiRZ4iaY3H//9DaIoUKVLkn7G85CUvie/4ju+Id73rXU93V04r73//++Pmm2+OEydOPN1dKVKkyFMsheEqUqRIkSJFihQ5y1IAV5EiRYoUKVKkyFmWsqRYpEiRIkWKFClylqUwXEWKFClSpEiRImdZCuAqUqRIkSJFihQ5y1IAV5EiRYoUKVKkyFmWAriKFClSpEiRIkXOshTAVaRIkSJFihQpcpalAK4iRYoUKVKkSJGzLAVwFSlSpEiRIkWKnGUpgKtIkSJFihQpUuQsSwFcRYoUKVKkSJEiZ1n+P8FU54NX9WrbAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1300,7 +1318,7 @@
   {
    "cell_type": "code",
    "execution_count": 31,
-   "id": "da5ff23f",
+   "id": "7551ccd5",
    "metadata": {},
    "outputs": [
     {
@@ -1313,7 +1331,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.PathCollection at 0x7f6cc0f7b820>"
+       "<matplotlib.collections.PathCollection at 0x7fae80239900>"
       ]
      },
      "execution_count": 31,
@@ -1322,7 +1340,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1343,7 +1361,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b23c59b6",
+   "id": "6a78066d",
    "metadata": {},
    "source": [
     "## 15. Try looping over all positions and plotting multiwavelength cutouts"
@@ -1351,7 +1369,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e8536afb",
+   "id": "8fb29386",
    "metadata": {},
    "source": [
     "Warning: this cell takes a long time to run! We limit it to the first three galaxies only."
@@ -1360,7 +1378,7 @@
   {
    "cell_type": "code",
    "execution_count": 32,
-   "id": "f40f8ad2",
+   "id": "e9479722",
    "metadata": {},
    "outputs": [
     {
@@ -1386,7 +1404,7 @@
     },
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 2000x600 with 3 Axes>"
       ]
@@ -1396,7 +1414,7 @@
     },
     {
      "data": {
-      "image/png": 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g6cva951CqZI+evfdKjQ+WgcAAOAQQaBz+/p0V0uL1u3Zo291dOjt/f3ampys72dm6huZmbo7M1N/TE3V1MFBXd/Rod/s2aM/NjfrY11dyvZ8tBqA2MnPz9f69esP+ogh7osAOJqdoX3v8vmL9t3bWCbpNO174PNWSe+StFDSfEn52vd9ypdr38fs/1rSq3/PAYxPUb0j6O6779b73/9+TZ8+Xaeeeqok6aWXXlIkEtGvf/3rmHYQAOJicFA/l7RA0nskPRGjZl+WdL6kl7Oz9aGVK/WjT3xC7cb3XgAAAEhSyeCgbm9r07t7e/VacrJuyc7WfenpanF8LntKSoqSgkAVfX26tKtLX25r09UdHVqal6c/eL6fCkB45557rv74xz9q9erVkqQPfOAD2rBhA/dFABx1UiV9WtJNktZL+kdJf9C+d/+4BNr3cfqvSFqpfR8f9yVJD2vfp65cK8n+5iMAR1pU7wg6++yztXHjRn3xi1/UqaeeqlNPPVVf+tKXtHHjRp199tmx7iMAxNzxDz2k92nfu4Bi9RBov92S7luyREEkoovuu0/ir3MBAIDh/d3derypSWf296uqoEDnFxXpe5mZzodA+w1FIvpzerqWTJigc4uLtSElRT9uadH/tLQoi+sPIK6Ki4t18cUXD/9x7Mknn8x9EQBHnRzt+2i3ZZI+L+lsSY/Jfgg0kme1791Al0v6oKS/Spoau24CiIGo3hEkSdnZ2fr4xz8ey74AwBGRs327yn/yE31D0iNx2kZnbq5++//+nz68apVOf/pprTv33DhtCQAAHM0+3tmpz7W3a3VGhm7Ky9Nez8MflzeSk/UvEyboQ93d+mJ7u05sbNS/lZSoLTk5xj0GsF9qaqpOOOEEPfPMM/ryl7+svLy8se4SAIxapqTfaN/Hv10gqSYGba7Uvj+2fUzS49r3iSmNMWgXQHhRPwgayc6dO9Xf36+ZM2fGslkcYO3atcrKyhoxq6qqctZVV1eb7ZaVlTmzoqIis7auri5ubVv99tVWVlaaebz4+lVRUWHmTU1NzswaS9+2fceppsZ+yff122JtO0y7kvTAAw84M9dnc5/yve+pu7BQN+/cGWrblmXLlkmSWiT9S3W1PlJdrT2jrF2wYIEzs+bHaHLrWPjmrjX/wmxXss9137lszd2w64C1z759uv76653Z4sWLzdrCwkIzr6+vd2a+fbbGurS01Kytra018+LiYmfmGy/rNcySnp4eVR2it2XLFqWlpY2YlZSUOOs2bdpkttvY6P4VMRKJmLUpKfYlbbJxIzzJc9Pddd01mu0e+L0RI8kwPr7rwO/iHMnAwIAz850Xra2tZm6Nt69tqzY1NdWsDQL7b087OzudWXd3t1lrzYHe3t5Q/bLqfW1/qKlJnxsY0PLkZH06CKS2//sQlZ6eHrPWdR7eJemp5GT9pq9Pq3bu1AcLCtT1pnmenZ1ttt3f3+/M2tvbzVprXkv23PWxaidMmGDWdnV1mbl1nNva7A+3sc6LnJwcs9Y3d622Z82aZdZa12dbt241a33rl3Xd6FsbrTHxjfXEiRPNfO/evc7MN9YtLS3OzJo/bz5fuC8ytqxz2Xc9YdX6Xgt8wtT7rlXixdfnMPs05HnXqpWHqfX12de2tTb6Xt+sazvfa9SePfbdBOsayfJ97fteoAslPRVVCyN7VdLbte/B0q8lnad936t8OKw12Xed7HsNs1jXjJL9Gue71vWtQVbuq7X67Xtd9uXWGhRmn+IpzHbHqs8+YV+HpCg/Gs7lggsu0Jw5c2LZJADEVM62bSp58UXVffjDsn8VjI1Pad8T9387AtsCAABHjzN7e/W1gQF9KzlZn05JkWL4S+fzSUn6cEGBygYH9eWOjpi1C8CP+yIAjgYflPRhSUsU24dA+22WVCnpLZJujEP7AA5fTB8E/fCHP9Qf//jHWDYJADE15+GH1ZOfr53nnXdEttcs6T5J/yFpfP5NAQAAONIygkBfa2nRM5GIlsX4IdB+L6am6tM5Ofrnnh690/POJACxw30RAONdkaQ7Jf1S++5XxMuzkm6X9BlJJ8dxOwBGJ6YfDffWt741ls0BQGwNDWn6E09o88KFGvK8ZTeWvivpY5Lma98XJgIAgGPbNW1tmjYwoIvT0jQUx4+f+GlGht7f26vl7e1akJp6yEfEAYg97osAGO8+KSld0ieOwLY+r33vPvqU9r0DCcDY4TcBAMeM7IYGpXV0qOnkI/u3KE9J6pZ09hHdKgAAGI+yh4Z0aWenVuTk6JV4P5iJRHRjbq4mDQ3pEt4VBADAMS9V0uWSfihp9xHYXp+kb0m6WNLkI7A9AG5RvSNowoQJo/7iJN8XmgHAkVLw+uuSpNbjjz+i2x2UtE7SmUd0qwAAYDy6uKtLGUGgH+bkSMYXIcfK1uRk/T4tTf/W3a0fZWTE5WPogGNRdXX1Qf+eNWuW8z4J90UAjBeV2vdA5jtHcJs/lHSbpCpJXzyC2wVwsKgeBH3605/WF7/4RS1cuFDz58+XJK1du1aPPPKIPv3pT2vixIkx7SQAxELu1q3qnjhRfXl5R3zbL0o654hvFQAAjDcf6erSYxkZ2pmcfMS2eU9mpn7e2qrTBwa07gh+PC6QyObNm6cNGzaopKRE27dv10033aQXXniB+yIAxrV3ad/9idojuM02Sb+R9I/iQRAwlqJ6ELRmzRp9/vOf13/+538O/+yTn/ykvv3tb+uxxx475C9jAGA8SO7t1UBW1phsu1VSzphsGQAAjBfZQ0M6qb9f92ZnH9Ht/iUtTd2Szunv50EQECNNTU06+eSTNWvWLG3fvl1XXHGF8vLyuC8CYFw7S9IzY7DdZyR9Vvu+o2RoDLYPIMoHQY888ohuv/32Q37+7ne/W8uWLQvdKbg1Nzerq6trxKyurs5ZV1FRYbZr1VZWVpq1ZWVlZt7U1OTMbrvtNrPW2naY7Y4mt1jj5ePbrrVfvtqampqo2g2b+8bDmn++OXDvvfeaubXPDzzwwEH/znj1VWW2tx/y82iccMIJZl5VVXXQv9/+u9+p6OWXddvSpdq1a5dZG2Z++c5Xa7yKiorM2jBrjG/uxuu1Y+XKlWbum/fWfvn2yZq7I72GHo4lS5Y4M+sYS/Y+han18Y21te1Vq1Y5s/7+/qj7hOi0t7cr1XEjOSXFfWmZ7bnxPTTk/pUw2fPOiZwc+1F7Q0ODM5syZYpZ293d7cysPkv++Tk4OGjmlvT0dGfmG6+BgQEz7+jocGZJnu+0sfbJ6rMktbW1mXleiHf0WscqzHGQpCAIRt12eV+fkiStS07W4OCgenp6ot5uX1+fmfe+6TuBXk5O1km9vepNTvYei7S0NGfmq/XNe2ud8NXm5uY6M2veSvY+SYeO1+H0y5pfzc3NZm1JSYmZW/PTdz5a++Rbk30fBW/Ne2vNlaTjjY9p9q1P+fn5Zl5aWurMNmzYYNZa4zXSutrY2KjTTz/9kIz7IvEXBIFzDlpz15q3vjxMrU+Y8y2ssdrneB6LMEb7NRgj8fXLWs99r+mu+4CHK13SSZK+G5PWDs9z2vfHsXMljeaOh/Ua53v98+XWtbLvOtr1e5Dkv9bwtW312zc3rVrfdsP0yzfWYc6pMMJs11cbz3UinuubtO9B7GErLCzU6tWrD/n56tWrVVhYGLpTABAPvSkpyhyjm8bpPT3q81wUAACAxHZSf796JL1iPAyJl3XJyTo15EMvAP8nLS1N27dvP+Tn3BcBMF4VS0qVtGkMtr1/m9PGYNsA9onqN5DPfe5zqqqq0uOPP65zztn3rRdPPfWUHn74Ya1YsSKmHQSAWNleUKCJXV3K7ulRZ0bGEd12cUODmiZNOqLbBAAA40tBEGhvUpIGxuCvI3dHIiqI818ZAseSk08+Wc8888zwO6DuuOMOrVu3jvsiAMat/e/pjf79yNHb/55L+33FAOIpqncEXXbZZVqzZo3y8vJ0//336/7771deXp5qamp02WWXxbiLABAbm//+l3mz9+w5otuNDA5q0o4dapzG374AAHAsSwmCMftc/AHt+ytgALFx3HHH6cILLxz+mKAHH3yQ+yIAxrX9H0A3Fp9Vsv8axP4QPADxFPVnEpxzzjn6yU9+Esu+AEBc7crLU2damsoaGvS3qVOP2HanbN+u1P5+7Zw+/YhtEwAAjD+9kYgyxuhdOZkam78ABhJZYWGhzj77bG3btk1/+ctfQn2XGQDEW5OkQUkzx2Db+7fZOAbbBrBPVO8IkqTXX39dn/rUp/SRj3xk+IvPf/e73+lvf/tbzDoHALEURCJ6cs4cnf/aa0r2fMF3LJ3+1FNqLSjQ9lmzjtg2AQDA+LMlOVmFQaAJR/A6ZL8TBwe12fOFvgAOT3t7+/A9kN27d0vivgiA8atbUq2kM8dg22f9ffsbxmDbAPaJ6jeBJ554Qqeccoqeeuop/epXv1JHR4ck6cUXX9RnP/vZmHYQAGLpT6WlKuju1hlbtx6R7WV0dansxRf1wrnnKuDmCwAAx7SX/v4RUqf09x/xbZ8+OKh1yclHfLtAotq1a5cefvhh7fn7x05zXwTA0eA57Xsoc6SdKWmd9r0jCcDYiOqu5LJly/TFL35Rv//975WW9n+fLHnBBRfoySefjFnnACDW3pgwQbWTJ+viF15QxhHY3oLHHpMiEa0/aywutQAAwHiyKTlZ7ZGIzjzCD4KKh4Y0Owh4EATE0IsvvqhTTjlF559//kE/574IgPHsj9r3UOa4I7jNLEnvk/SnI7hNAIeK6juC1q9fr5/+9KeH/LykpERNTU2hOwW3uXPnKjs7+7DrfMelqqrKma1cudKsLSoqMvOysjJntnz5crO2rq7OmVVXV5u1lZWVZm7129qur9Y31n/5y1/M3Bovn4qKCmdWU1Nj1vrGyxoT3xyx2rb6LPn7bXEdi2/Onatv1tToyYUL9cz/+38j/je++eWb97W1tSptaNBZf/2rfvLWt+q5bduGM99YW3NgxYoVUddK/n5bwqzvYea1b7tW7ptfvrabm5udWXFxsVlrzV1rzR2N+vp6Z2b1WbL7XVpaatb6zkdrvH3Hwjrn7rjjDmfW0dGhhx9+2GwbsVVaWqqMjJEfpTc0NDjrJk6caLY7ZHxUVk+P/c0mra2tZp6fn+/Mtm/fbtb29vY6M993QfR7bvZPmDDBmQ0MDJi1bW1tzqykpMSs7erqMvP9X3w+ksDz/TZW7d69e83a3NxcM29paXFmyZ4HHFbe1xe/ry1OSTn0163HMjL0T93d+nZ+vrnP3d3dZtvWWEtSenr68P//r52d6pW0Jjtb6UlJI/brQNZx9s3NnJwcMw/D+j0oyfPO6/0f2+UyefJkZ7b/nR4urjVRkjIzM81aa32SpNdee82Z+fbZN0csvuN84Px6sxNOOMGs3f8OmpH4zmWrVrJfD3zjYa2rI50zra2tmj9//iE/577I2LLWr0gkcgR7Mj74Xret3Lo2G03bYWrDtG0dZ98c8OXWuhvP+eVb7w/HLyR9XdL/J+nGmLVq+7CkPEnfO4wa6zrZd1/Ueo2S7NcD3zWSVet7nfG1HWZ+WbW++eN77Q3TrzDnRbzWAV8+lq8V0W57tHVRrSQFBQXauXPnIT9/4YUXNG3atGiaBIAjZlturn5y4ok65dFHNbW2Ni7byO3p0ZI1a1RfUqLHysvjsg0AAHD0+WFOjmYPDup84yFjLEWCQJd2d2t1Rob28DG1QMykpqaO+IcK3BcBMJ51S7pH0hLtezgTb0mSPinpN5K2HIHtAXCL6jeBD3/4w7rxxhvV0NCgSCSioaEhrVmzRtdff70+9rGPxbqP49Jtt92mSCSiq6++evhnPT09uvLKK1VYWKicnBxdcsklamxsHM43b948/ITulltu0WWXXXaEew1gv/uPO047yst14Z13qsT4S8toZPf06Lrf/17pAwNaWVGh4Bj8yzMAADCyZ9PStCE1VVe1tSkS4i8dR2txb69mDQ3pXs87UwAcnpkzZ2rdunXDD4OOxfsiAI5O/yMpVdJXj8C2rpN0sqQvHYFtAbBF9SDoy1/+ssrKyjRjxgx1dHRo3rx5etvb3qbzzjtPn/rUp2Ldx3HnmWee0Xe/+12deuqpB/38mmuu0a9//Wv94he/0BNPPKEdO3bo4osvHqNeArAMJSXpsU98Qs2zZuk9X/+6Zj/3XEzandzaqpseeUQTu7p0xz/+o3Z7PuYGAAAcYyIRfT4/X+f29WlJnL8rqHhoSF9sb9fq9HQ9F+JjwgAc6tRTT1VeXp5++9vfSpLOOeecY+q+CICj1xva94CmStLCOG6nTNLnJX1N0lNx3A6A0YnqQVBaWppWrFihjRs36qGHHtKPf/xj1dXV6Uc/+pH3cwWPdh0dHfroRz+qFStWHPR5la2trVq1apW+9rWv6YILLtCZZ56pe+65R3/961/5okhgnBpIT9fD//Vf2nbKKbrw7rv1DytWKL29Paq2IkNDevfLL+vzv/61UoaGdOu73603PN+HAQAAjk1rMjL0o+xsfb63V8d7voMhWpEg0B1tbQok3cQfpgAxl5ycrLPPPlvvfve7JUnf+973jpn7IgCOfislPSzpJ5LmxaH9EkmrJW2W9Jk4tA/g8NnfUuUxY8YMzZgxI1Z9OSpceeWVuuiii3ThhRfqi1/84vDPn3vuOfX39+vCCy8c/llZWZlmzpyptWvX6txzzx2L7gLwGExL0x//v/9PW556SvP/93/1wU9/WvXnn6+/9vZqV1aWtz6jv1/zN27UO+vqNLWlRY/Om6f73/IW9Xm+BBAAABzbvpSfr/ldXbq/q0vvzsrSzlh+f08Q6PMdHXpPX58uy89XM98NBMRN1t9/Z7j44ouVl3ckvnEDAGLjnyU9LumPkv5R0voYtTtV0qOSciRVSDr029QAjIWY3qlcvXq1WltbE/bzcH/2s5/p+eef1zPPPHNI1tDQoLS0NBUUFBz080mTJqmhoUGSNHv2bAV//xzwW265Jd7dBTBakYheP/dc7Sgr02kPP6yyJ57Qyu5u/W3iRL1SUKDX8vO1IztbvUlJSg0CTejp0Wk7dmhWc7NO2rlT6QMDemH6dN0zf75eLykZ670BAABHgc6kJC3KytLDXV16uKtLF2dl6fUYPLBJCQIt7+/XxwcHdWNOjn6Xnh6D3gIYrUS/L3Kg2267TTfddJP+67/+S//zP/8jad93J1933XX62c9+pt7eXi1cuFDf+c53NGnSJEn7vjt5zpw5CoJAt9xyizZv3qx777137HYCOIa1SLpQ+94ZtEbSUknfDdnm+//eRr+kd0jaFLI9ALET0wdBN954o1599dWEvODZtm2b/uu//ku///3vlZGREfftdXR0qKWlZfjf7X//uKpXXnlFmY4veq2oqHC2V1ZWZm6vrq7u8Dv5d01NTaHyaFn7OxpWv3zjUVVV5cxqamrM2ssvvzzqfhUVFZm1Ft8c8B2nBx54wJmFORZh9slXbx0n6dB97i4o0JMf/rCeXbxYO776VZ3X0qLz3nhDl2zceEhte3Ky6rOz9ZOSEj1YXKxd6enSnj37/iepsrJy1Nt9M2uffPPHN/9888Bi9cs3B3z7bPXLdz5aeXl5uVnb3Nxs5itXrnRmvvkVZl31HcfCwsKot7to0aKo+jQau3fvdma+flnzy2q3s7NTkrR9+3a1tbUN/7ygoEA5OTnmNhGd119/XWlpaSNmqSG+g8T6K+r9X8Ttkp2dbeYHXlO9mW+ezJw505n51pB+z/e/HDhn38y3T7nGR321traata7jt9/+P1wayf5zziXLeDftkOcj0FI876a11gnrGEtSV1eXM0v3PCgZHByMOvfNr87kZH14YEA/bGxUTVeXbpswQT/OyVEQiXjnfSQSOeRnZf39+kZrq+YNDurmkhI9kJ+v/BFqffts8R2n3t5eM7fmn6/tjo4OZ+Zbf3zv1Jg6daoza2xsNGutue2bmzt37jTzOXPmODNrPCR7PAcGBszaEs8fN400//bz/b5s1Vrrj+RfR9761rc6sx07dpi11nhZWV9f30H/TuT7Igeyvjv5N7/5jX7xi18oPz9f//mf/6mLL75Ya9asidm2gyBwzpUw8ysMa7thxbPfVtu+7YapPVpZxznJ88cc1jriWzcP/GqKw23bt943SfoHScsl3S3p/0m6Vof/7qBZkr4g6V8lPSTpckkNxn/vu9adNm2aM3vzH+G/mW88rWsG37WI9dGfYWolew755le8an25b+0bq7XA1y8rD7uej+f1L6YPgsLc9BrvnnvuOe3atUtnnHHG8M8GBwf15z//Wd/+9rf1yCOPqK+vTy0tLQctSI2NjZo8efJhb2/p0qW6++67Y9F1AIdpID1dD5aU6MG//wJc0N+vyb29SgsCDUQiak1J0Y70dAVxvNgHcHjmzTv4k62vuOIK3XXXXWPUGwAYve0pKfrAlClatnevvrBnj97X2am78vP1iDTqa40ZAwO6rKtLVV1d2piSovcVFmpj/kiPgADEWyLfF9nvwO9OPvAj8/d/d/JPf/pTXXDBBZKke+65R+Xl5XryySf5yHxgnOqQdIWkX0paIeklSTXa92DoD3I/0JmgfR/9drmkiyTtlfQxST+Kc38BRIcvsRild77znVq//uDn4f/2b/+msrIy3XjjjZoxY4ZSU1P1hz/8QZdccokkqb6+Xlu3btX8+fMPe3t33HGHbr755uF/t7e3H3KTC8CR0ZKaqpYQf+UOIP42bNhw0DskfH8lBgDjSWdSkj5dWKjfZmXp5pYW3btrlzYnJ+uXGRl6PjVVL6WmqumAv8ZMCwLNGxjQqf39+sfeXr2zt1ftkYi+nZ2tb+TkqC8Skfs9YwAQDt+dDCSmxySdKOkDkj4h6cd///l2Seu070FPIClX0imSjv97/rz2PQz6mST3e7ABjLWoHgQ9/PDDysnJGf4ooDvvvFMrVqzQvHnzdOedd3rfsng0ys3N1cknn3zQz7Kzs1VYWDj88yVLlujaa6/VxIkTlZeXp6uuukrz58+P6mInJyfnoI+SsD46BACAY920adP4gmYAR721mZl6X0aG3tLXp4+0tKiqq0sFf/94iZZIRN2RiFKDQPlBoFRJA5JeTE3V9Xl5qs7MVDfvVgaOmG3btik1NVUTJ06UJK1YsUI/+tGPEvq+iMR3JwOJbkDS/X//33RJb5V0lvY9+JkuKaJ9D3tWS3r27/97dUx6CuBwRfUgaOnSpbr99tslSevXr9d1112na6+9Vn/605907bXX6p577olpJ48WX//615WUlKRLLrnkoC9FBAAAAIBRiUT0Qnq61ubnS0GgWYODOm1gQDMHB5UeBOqPRNQaiWh9aqpqU1PVw8MfYEw8+eSTOuecc4b/ffPNNyf8fZHx8t3JAI6MN/7+P/c3RgMYT3zfnRzVg6BNmzYNf0zZr371K73vfe/Tl7/8ZT3//PN673vfG7LLR4/HH3/8oH9nZGTozjvv1J133jk2HQIAAACQOCIRbUlJ0ZYRvnw4nl9MDsCvvb39oHf9LFy4MOHvi/DdyQAAjF++706O6kFQWlqaurr2ferjY489po997GOSpIkTJ/IRZgAAAAAAIKElJydrYGBA6enpkqQLLrhAUmLfF+G7kwEAGL98350c1YOgiooKXXvttVqwYIGefvpp/fznP5ckvfLKK5o+fXr0vQUAAAAAABjnJk2apLVr16q4uFjSvncESYl9X4TvTgYAYPzyfXdyVA+Cvv3tb+sTn/iEfvnLX+quu+7StGnTJEm/+93v9O53vzu6nmJU5s+ff9CF0IGKioqcdU1NTVFv02p3NGpqapxZRUWFWfvAA+5PIr3pppui3q4klZWVRd2v6upqZ+YbrzDHwrdPlZWVUW+3rq7OzK3x9tVa2w7br2i3K9nHefny5WZtmOPs2yfrOFvz1rfdsKx9DjM3ffW+sQ6zRhUWFpr5ggULnNnKlSujrq2trTVrfXPEGk/fWO//jr+R+MZ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       "text/plain": [
        "<Figure size 2000x600 with 3 Axes>"
       ]
@@ -1406,7 +1424,7 @@
     },
     {
      "data": {
-      "image/png": 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64uzZs1i4cCGWL1+OKVOmoLCwEG+99ZZJnl6vR1RUFPLy8rB06VLj48WKY/z48ahRowaeeuop/P3338bH5QHAo48+qnhXi7U0btwYn3zyCbp164Zq1aohOzsbx48fx4wZM7B//37069cPW7duRefOnYtVnqFPAcDo0aPRrl07zJ8/H3Xr1sWFCxfw1ltvYdOmTejfvz+OHDmC2rVrAwBq1aqFatWq4cqVK/jqq6+wYMECk3J37dqFs2fPAjDfjkWtXLkSqampxn8HBQVh8eLFeOyxx8zmLW6fS0tLU1zmX3/9he+++874b51Oh5deegnTp0+Hi4uLYrlEREREVDFxkIiIiIiIKpRRo0Zh1KhRZtNr1qyJ9evXSy+OqhFCWJzepk0bnDx5En/++Se2bNmCv//+G0eOHEFqair279+P/fv3Y/PmzVi2bFmpl30vKa3n3ZydnTF79myMGDECU6dOxaBBg4r9PhZLpkyZUurc4jKsW35+PlauXGnyOK5XX30Ver0eb7zxBt5//31MmjRJU3+xlpo1a+LJJ5/E8uXL8cwzzyAjIwMPP/wwsrOzER0djTlz5sDZ2Rn5+flm7wzq3bu32V0yLVq0wHfffYfGjRvjlVdewcyZMzF69GiTQcUFCxZg7969ePfdd/Hggw+WqL5Tp07Fe++9h969e2PWrFmoV68eEhISEB0djVmzZuGXX37Bjz/+aPZoNGt56aWXTP7t7e2NHj16oHv37hg4cCB++uknTJ48GceOHStWeUX3l/DwcPz+++/Gx1o2btwYP//8M5o0aYITJ07ggw8+wDfffGOcf/r06Rg9ejQWLlwIHx8fjB49Gj4+PtixYwdeeOEFxe1YVEpKCgAgOTkZJ06cwJw5czBo0CAMGzYMK1asgKOjYzFbpngWLFiABQsWIDc3F5cuXcKKFSvw0UcfYcOGDdi0aZPFu4+IiIiIqOLiO4mIiIiIqEJp3749Ro4ciZEjR2LMmDF4++238csvv+DMmTNo3LixcT7Duz4A4ObNm8UqOyEhAcCdX+rfzcHBAV26dMGHH36IP/74A0lJSdizZw969OgBAPjuu++wbt06LatWaoZ1LYv1vNuwYcPQtGlTXLhwAV9++WXpK3mPeHt7AwAiIyMtDko899xzAO7ccfHXX3/dk7pkZmYqzmN4bJmPj4/J9EWLFmHAgAG4ffs2nnrqKQQGBqJq1aqYMmUKBg4ciEceeQQAEBAQUOz6vPjiiwgMDERubi62bt1qnH727Fm8/fbbaNy4cYnvroqOjsZ7772HRo0a4ZdffkGLFi3g6emJ6tWrY+rUqXj33XeRnZ2N8ePHo7CwsERlWxIVFWX29+qrrxYrV6fT4d133wUAHD9+HFevXi1WnmE7GpZvGCAycHR0NL5z6e73Mj3zzDN49913odPpMGvWLERGRiIgIABDhgxBcHCw8bF+xdmOAQEB6NixIzZv3oxHHnkEq1evxqJFiyzWtTR97m6urq6oU6cOZs2ahe+++w6XL1/GyJEjVetJRERERBUL7yQiIiIiogrl2WefRVRUlOp8TZs2hU6ngxACBw8elL4XBrjz6DXD+zyaN2+uWr6joyM6dOiAzZs3o1WrVjhy5Ah+/PFHDBkypFjrUZaaN2+Oa9eu4eDBg8Wa3zA4Upz11Ol0+OCDD9CrVy/MmjWrWG2v5IMPPsCZM2dKnDd//nyTQT+ZGjVq4PDhw6hRo4bFuLe3N4KCgpCYmIgbN26UuC4lYXi03pUrVxTnMQxU3P0YPk9PT2zcuBExMTHYsmULbty4gYCAAPTq1QtdunRBu3btAKBEd/04Ojqidu3auHXrFq5du2acvnnzZuTk5CAzM9M46GmQk5MDACgsLDQ+nm3KlCnGu5UMd88NGTLE4iPqRowYgTfffBOxsbG4ePGi8VFspVX0MWgGERERmD9/frHy69WrZ/z/a9euoWrVqqo5kZGRxmOJUr8yTLfUp9555x08+eST2LBhAy5cuAAXFxe0adMGgwYNwowZMwCUbDvqdDpERUXht99+w8aNGzFhwgSTuh45ckSxzxV9zFxJHv04aNAgeHt749ChQ7h69Wqx2o2IiIiIKgYOEhERERHRfSkgIAAPPfQQdu/eje+//1518Gb58uUA7gwiFPddJcCdC+9du3bFkSNHcOvWLS1VLrX+/fvjp59+wrZt23Djxg2EhoYqzhsfH2+8i6Rfv37FKr9nz57o1q0bduzYgY8++qjUj7fasmUL/vzzzxLnzZgxo9iDRM2bN8e6desUt0VhYaHx8V0leddRaTRr1gwAcPLkSeTk5MDNzc0knp2djZMnT5rMe7e2bduibdu2JtPS09Nx7NgxODk5oUuXLiWqk+H9OkXvjjE4f/48zp8/r5hr2HZFBwoNgxFKd6X4+voa/z85OblEdbWkuI9KVFL0/UKW2sASLy8v1KlTB2fOnFHsV4bpSn2qRo0aFu942rNnDwCYDc6pMTwm0XBXoEGzZs2wYcMGHDp0yGKeYbqnpyceeOCBYi/PwcEB7u7uSE9PR0JCAgeJiIiIiO4jfNwcEREREd233nrrLQDAr7/+ip9++klxvqtXr2L27NkAgAkTJphc8C7ORWnDhfIqVapoqW6pPfHEE4iIiEB+fj4mTJigWGchBCZNmoT8/HxERERgxIgRxV7Ghx9+CJ1Oh48++giJiYmlqueuXbsghCjxX0nveNDpdDhz5ozJ3TJF65Cfnw+dTocWLVqUaj2Kq23btqhcuTJyc3Oxfv16s/j69euRl5eHsLAwtG7dutjlfvHFF8jOzsaQIUNM3iuk5siRI/jvv/8AAK1atTJOnzx5smLbG+6uc3R0NE4rOkgUHh4OAIp3sR04cMD4/yXZjtayevVqAHcGterUqVPsPMMg892PkzPYtm0bANN2VXPgwAHs3bsXVatWRf/+/YudBwA7duwAALOBngEDBgAA9u3bZ/FuopUrVwIA+vbtW6L3i504cQIJCQlwdHRUvJuKiIiIiComDhIRERER0X2rV69emDhxIgBg+PDhWLZsmdkAysGDB9GlSxfcvn0bLVq0wPTp003ib7/9NiZOnIh//vnHrPyCggJ8+eWX+OGHHwDceX+PLbi4uGDVqlVwcXHBhg0b8MQTT5jcMQEAt2/fxsiRI7Fu3TqT+YurefPmGDJkCNLT0/H111+X9SqUmVq1auHJJ59EXl4exowZg9TUVGPs8uXLxv4wePBghIWFlckyn376adStWxefffaZyXQHBwe88cYbAIA33njDOOACALGxsZgyZQoA4M0334SDg+lXswsXLpgNxgkh8O2332LatGkICAjARx99ZBLPysrC559/jvT0dLM67t69G4MGDQIAdOjQoUSDGTKDBw8GAKxatco4AGNw8eJFvPjiiwCAbt26mQ1oRUVFGR+dVlaOHTuGn3/+GQUFBSbT9Xo9vvnmG+PA8aRJk8wGSTZu3Ii6deuiW7duZuVOmjQJ/v7+2LRpk9m7uVavXo3o6GjjfEXdvn0bZ8+eNSvvwIEDxgHNJUuWmD2qb8mSJRbz8vPzsWTJEnz66acAgLFjx5rEGzRogP79+6OwsBCjR49Gdna2MbZ582YsW7YMDg4OZu+e2rt3L3755RezdgPuDC4OHz4cwJ3BMn9/f7N5iIiIiKji4uPmiIiIiOi+9sknn8DDwwPz5s3DqFGjMHXqVLRs2RKurq44ffq0cfCnV69eWLNmjdlL6bOysvDZZ5/hs88+Q3h4OBo3bgw/Pz8kJSXh+PHjiI+PB3DnQn9JHxlVltq2bYtt27ZhyJAhWLVqFTZu3Ij27dsjJCQECQkJ2Lt3L3JychAcHIy1a9eaPcKsON577z1s3LgRWVlZVliDsrNw4UKcPHkSW7ZsQa1atdCmTRvk5OTgwIEDyMjIQOPGjbF48WKzvK+//tpkAMzwfplx48YZH00WGhqKjRs3muRduXIFZ8+etfgosokTJ2L37t3YuHEjGjZsiO7duwO4c0dKVlYWBg8ejOeff94s75dffsFrr72GZs2aoVq1ahBC4NChQ7h8+TKCg4OxefNms8cK5uXlYcKECXjllVfQtGlTVKtWDQUFBfjvv/9w4sQJAHfefbN27dqSNKfU2LFjsXnzZvz6668YPnw43nvvPdSrVw+JiYk4cOAAcnJyUKVKFSxZssQsV6/XA0CJ7mhRc+nSJQwcOBD+/v5o1qwZQkJCkJKSghMnThjvrBk+fLjZYDAApKam4uzZs8b3MBUVGBiINWvWoF+/fhg/fjwWLlyIevXq4cKFCzh69CgAYNq0aejTp49J3uXLl9G0aVPUq1cPtWrVgqenJ86ePYujR4/C2dkZ33zzjfH9TkWtXLkS48aNQ82aNdGgQQN4eXnh5s2bOHnyJOLj4+Hg4ID3338fvXr1MstdsmQJTp06he3bt6NmzZp46KGHkJCQgD///BNCCHzyySdo1KiRSc758+cxatQo+Pn5oWnTpggNDUVGRgZiY2Px77//AgDat2+PRYsWFXNLEBEREVFFwUEiIiIiIrqv6XQ6fPDBB3jqqaewaNEi7NixA9u3b0d+fj6Cg4MxdOhQPPXUU3jkkUcs5k+bNg1t27bFjh07cPjwYRw9ehSJiYlwdXVF1apV0adPHzz77LOlGnQpax07dsSFCxfw5Zdf4ueff8bx48eRkpICPz8/tGzZEn379sX48eOL/S6Wu9WqVQtjxozBF198UcY1L1u+vr7Yt28fPv74Y6xevRp//PEHAKBOnToYOnQoJk2aBHd3d7O8a9euWXxs2qlTp4z/HxERUaK6ODo64ocffsBXX32Fr7/+2viYsAYNGmD06NEYO3YsdDqdWV779u0xaNAg/PXXXzhx4gR0Oh1q1KiBadOm4eWXX4afn59ZjoeHB6ZNm4ZDhw7hzJkzOHnyJLKzs+Hv74/u3btjyJAhiIqKKtEdZGqcnJzw888/Y/ny5Vi+fDmOHTuGM2fOwM3NDXXr1kXfvn3x0ksvWbz75PDhwwCA0aNHl1l9GjdujMmTJxvbYN++fRBCICQkBIMHD8aoUaPMBnKKq0ePHjh+/DjmzJmD7du346effoKPjw/69OmDF198ET179jTLCQ8Px7hx47B37178+eefyM3NRVhYGMaMGYNXXnlF8ZF3r7/+OurUqYODBw8iJiYGt2/fhru7O6pVq4aBAwdi/PjxZgM9BsHBwTh06BDef/99rF+/Hj/99BM8PT3Rq1cvvPrqqxbvlOrcuTOmTZuGvXv34vz584iJiYFer0dwcDD69u2LYcOGYdiwYWZ3vBERERFRxacTWt/8SURERERERFQCcXFxqFKlCgYOHIgNGzbYujpERERERHaLPwMiIiIiIiKie2rr1q1wdHTEnDlzbF0VIiIiIiK7xjuJiIiIiIiIiIiIiIiI7BDvJCIiIiIiIiIiIiIiIrJDHCQiIiIiIiIiIiIiIiKyQxwkIiIiIiIiIiIiIiIiskMcJCIiIiIiIiIiIiIiIrJDHCQiIiIiIiIiIiIiIiKyQxwkIiIiIiIiIiIiIiIiskMcJCIiIiIiIiIiIiIiIrJDHCQiIiIiIiIiIiIiIiKyQxwkIiIiIiIiIiIiIiIiskMcJCIiIiIiIiIiIiIiIrJDHCQiIiIiIiIiIiIiIiKyQxwkIiIiIiIiIiIiIiIiskMcJCIiIiIiIiIiIiIiIrJDHCQiIiIiIiIiIiIiIiKyQxwkIiIiIiIiIiIiIiIiskMcJCIiIiIiIiIiIiIiIrJDHCQiIiIiIiIiIiIiIiKyQxwkIiIiIiIiIiIiIiIiskMcJCIiIiIiIiIiIiIiIrJDHCQiIiIiIiIiIiIiIiKyQxwkIiIiIiIiIiIiIiIiskMcJCIiIiIiIiIiIiIiIrJDHCQiIqqAOnfujM6dO6vOt2vXLuh0OuzatcvqdQKAv//+G+3atYOnpyd0Oh2OHTuGGTNmQKfT3ZPlExGRucjISERFRdm6GmVq2bJl0Ol0uHTpUolzrfXZqNPpMGPGjDIrr3PnzmjYsGGZlUfWc/c+dq/Pv4iI6P5XknOf+/Hcj4isi4NEROXcF198AZ1Oh9atW1uM63Q6TJgwwWRaYmIiXnzxRdStWxfu7u4IDg5Gq1at8MYbbyAjI6NEy3/vvffQr18/hISESC9+REZGQqfTWfyrXbu2cT7DiY3SX3R0dInqV1YMX+aV/t577z2T+bdt24YOHTrAw8MD/v7+GDx4cKkuVJVn169fx4wZM3Ds2LFizZ+fn48hQ4YgOTkZH3/8MZYvX46IiAiL886ZMwc//vhj2VWWiMgO/fvvvxg8eDAiIiLg5uaG8PBw9OjRAwsXLrR11Urk7s9gV1dXhISEoHPnzpgzZw4SExOtXoeVK1diwYIFVl8OULbnaVrdL33Imi5duqR4ftimTZtil3Mv+xgRUUW1du1a6HQ6bNy40SzWuHFj6HQ67Ny50yxWrVo1tGvXzvjvrVu3YvTo0WjYsCEcHR0RGRlZ4rrk5OTg448/RuvWreHr6ws3Nzc88MADmDBhAv77778Sl1de/fzzz2jWrBnc3NxQrVo1TJ8+HQUFBRbn3b59O7p27QpfX194e3ujefPmWLNmTanK7Ny5s+Lnq7Ozc5mv5+nTp9G7d294eXkhICAATz31lOI55oULFzBixAgEBwfD3d0dtWvXxttvv20yz19//YXnn38ezZs3h7Ozc7n5Yazsmlt8fLzJvGvWrMGTTz6J2rVrQ6fTFeuHyHT/crJ1BYhILjo6GpGRkfjrr79w/vx51KpVSzp/cnIyWrRogbS0NDzzzDOoW7cukpKS8M8//2DRokV47rnn4OXlVezlT506FZUrV0bTpk3x+++/K863YMECswsbly9fxtSpU9GzZ0/jtI4dO2L58uVm+R9//DGOHz+Obt26FbtuZalevXoW67V8+XJs3brVZB1+/fVX9O/fH82aNcMHH3yAtLQ0fPLJJ+jQoQOOHj2KoKCge1l1qY4dOyI7OxsuLi4lzr1+/TreffddREZGokmTJqrzX7hwAZcvX8ZXX32FZ5991jh96tSpmDJlism8c+bMweDBgzFgwIAS14uIiID9+/ejS5cuqFatGsaMGYPKlSvj6tWrOHDgAD755BNMnDjR1lUssUmTJqFly5YoLCxEYmIi9u/fj+nTp+N///sf1q5di65duxrnfeqppzBs2DC4urqWeDmWPhtXrlyJEydOYPLkyWWxKorK+jxNi/uxD1nT8OHD0adPH5NphnO+s2fPwsFB/vvLe9XHiIgqsg4dOgAA9u7di4EDBxqnp6Wl4cSJE3BycsK+ffvQpUsXY+zq1au4evUqhg0bZpy2cuVKrFmzBs2aNUNYWFiJ63Hr1i307t0bhw8fxqOPPooRI0bAy8sLZ8+exerVq7FkyRLk5eVpWNPyYfPmzRgwYAA6d+6MhQsX4t9//8Xs2bORkJCARYsWmcy7dOlSjB49Gj169MCcOXPg6OiIs2fP4urVq6Uq8+233za5bgAAmZmZGD9+vMn1l7Jw7do1dOzYEb6+vpgzZw4yMjIwf/58/Pvvv/jrr79MzgmPHTuGzp07Izw8HK+88goqVaqEK1eumK3npk2b8PXXX6NRo0aoUaNGuRs4nDlzJqpXr24yzc/Pz+TfixYtwuHDh9GyZUskJSXdw9pRecRBIqJyLDY2Fvv378eGDRswbtw4REdHY/r06dKcb775BleuXMG+fftMfkkD3DmxKulgQWxsLCIjI3Hr1i3p4Ieli/2zZ88GADzxxBPGaTVq1ECNGjVM5svOzsbzzz+Prl27onLlyiWqX1kJCQnBk08+aTb93XffRe3atdGyZUvjtDfeeAM1atTAvn37jO3Zt29f46DRRx99dM/qrcbBwQFubm73ZFkJCQkAzE88nJyc4OTEjxsiorL03nvvwdfXF3///bfZcddwPK5oHnroIQwePNhk2vHjx9GzZ08MGjQIp06dQmhoKADA0dERjo6OpVrOvfxsvFtZn6dpca/6UGZmJjw9PcusPFtp1qyZxXNFAKUarCwLer0eeXl5xe7PQgjk5OTA3d3dyjUjIiqdsLAwVK9eHXv37jWZHhMTAyEEhgwZYhYz/NswwATc+VHiV199BWdnZzz66KM4ceJEieoRFRWFo0eP4ocffsCgQYNMYrNmzTK7q6SievXVV9GoUSNs3brV+J3dx8cHc+bMMd71DNy5q/aFF17AxIkT8cknn5RJmT169DDLXbFiBQDTa0hlYc6cOcjMzMThw4dRrVo1AECrVq3Qo0cPLFu2DGPHjgVw53P1qaeeQt26dbFz507p5+Vzzz2HN954A+7u7uXy7rKHH34YLVq0kM6zfPlyhIeHw8HBgY84Jj5ujqg8i46Ohr+/Px555BEMHjy4WI9iu3DhAhwdHS0+/sLHx6fEF0VKc1u2wcqVK1G9enWziyB3++WXX5Cenl7iE4H8/HzjII6bmxsqVaqEDh06YNu2bSbzrVu3DvXr14ebmxsaNmyIjRs3IioqSnXdDHdvFa1XcnIyTp06hYEDB5pcyGncuDHq1auH1atXq9bb8FidtWvX4r333kOVKlXg5uaGbt264fz582bzL1myBDVr1oS7uztatWqFPXv2qC7j7mUVfSa+4R0Hp06dQpcuXeDh4YHw8HDMnTvXJM8wMDZq1Cjj7cnLli2zuJyoqCh06tQJADBkyBCTW5XvfieRTqdDZmYmvvvuO2O5huclp6enY/LkyYiMjISrqyuCg4PRo0cPHDlypFjr2qJFC7i5uaFmzZr48ssvzZYdFRWleOt1Wb5HgojI2i5cuIAGDRqYXdwHgODgYNX8ixcvYsiQIQgICICHhwfatGmD3377zWSevLw8vPPOO2jevDl8fX3h6emJhx56yOwxL4bHcc2fP9/4meXq6oqWLVvi77//1rSejRs3xoIFC5CSkoLPPvvMON3Sc/n1ej1mzJiBsLAweHh4oEuXLjh16pTq+2I6d+6M3377DZcvXzZ+JhjOEYrbBsWl9Txt69at8PDwwPDhw/HVV19Bp9Ph6NGjZvMZfuEbFxcnrUtx+pBh+1o6B7j789PwuXvq1CmMGDEC/v7+6NChA+bPnw+dTofLly+blfHmm2/CxcUFt2/fNk47ePAgevfuDV9fX3h4eKBTp07Yt2+fMb5z507FxxGtXLkSOp0OMTExiute1tTe/SDrYwCQm5uL6dOno1atWnB1dUXVqlXx+uuvIzc316Qcw2Omo6Oj0aBBA7i6umLLli3Sej366KP4/fff0aJFC7i7u+PLL7/UurpERFZleEJHdna2cdq+ffvQoEEDPPzwwzhw4AD0er1JTKfToX379sZpYWFhpX5k2cGDB/Hbb79h9OjRZgNEwJ0fBsyfP99k2h9//IGHHnoInp6e8PPzQ//+/XH69GmTeS5fvoznn38ederUgbu7OypVqoQhQ4ZYfGz9yZMn0bVrV7i7u6NKlSqYPXu2yTobCCEwe/ZsVKlSxXjuc/LkyWKt56lTp3Dq1CmMHTvW5Eedzz//PIQQ+OGHH4zTFi9ejMLCQsycORMAkJGRASGEpjItWblyJTw9PdG/f3/jtKLnmZ9//jlq1KgBDw8P9OzZE1evXoUQArNmzUKVKlXg7u6O/v37Izk52aTc9evX49FHHzUOEAFA9+7d8cADD2Dt2rXGaVu3bsWJEycwffp0uLu7IysrC4WFhRbrGhISUmY/uvjpp5/wyCOPICwsDK6urqhZsyZmzZplcdkHDx5Enz594O/vD09PTzRq1Ehx4C49PV2x/gBQtWpV1TuhyX7wp91E5Vh0dDQee+wxuLi4YPjw4Vi0aBH+/vtvk7ta7hYREYHCwkIsX74cI0eOvIe1NXX06FGcPn26WL+wiY6Ohru7Ox577LESLWPGjBl4//338eyzz6JVq1ZIS0vDoUOHcOTIEeOvUn777TcMHToUDz74IN5//33cvn0bo0ePRnh4eLHqBZj+isXwZd3SyYCHhwdOnjyJ+Pj4Yt0R9cEHH8DBwQGvvvoqUlNTMXfuXDzxxBM4ePCgcZ5vvvkG48aNQ7t27TB58mRcvHgR/fr1Q0BAAKpWraq6DCW3b99G79698dhjj+Hxxx/HDz/8gDfeeAMPPvggHn74YdSrVw8zZ87EO++8g7Fjx+Khhx4CAMUBv3HjxiE8PBxz5swxPi4oJCTE4rzLly83bjPDL3Zq1qwJABg/fjx++OEHTJgwAfXr10dSUhL27t2L06dPo1mzZorrc/ToUfTu3RuhoaF49913jSewd9/9Nm7cOHTv3t1k2pYtWxAdHV2si6pEROVFREQEYmJicOLEiRL/8u/mzZto164dsrKyMGnSJFSqVAnfffcd+vXrhx9++MH4eJe0tDR8/fXXGD58OMaMGYP09HR888036NWrF/766y+zR5GuXLkS6enpGDduHHQ6HebOnYvHHnsMFy9e1PRs+cGDB2P06NHYunWr2TsCi3rzzTcxd+5c9O3bF7169cLx48fRq1cv5OTkSMt/++23kZqaimvXruHjjz8GAOMj30raBmq0nKf9+uuvGDx4MIYOHYpvv/0WWVlZePHFFxEdHY2mTZuazBsdHW18VIqsLqXtQ2qGDBmC2rVrY86cORBC4NFHH8Xrr7+OtWvX4rXXXjOZd+3atejZsyf8/f0B3LnQ9vDDD6N58+aYPn06HBwcsHTpUnTt2hV79uxBq1at0LlzZ1StWhXR0dEmjyMyrHvNmjXRtm3bMl2nrKws3Lp1y2Sar69vsfq2rI/p9Xr069cPe/fuxdixY1GvXj38+++/+Pjjj/Hff/+ZvcPxjz/+wNq1azFhwgQEBgaq/ujp7NmzGD58OMaNG4cxY8agTp06xV9pIiIb6NChA5YvX46DBw8af3houAO3Xbt2SE1NxYkTJ9CoUSNjrG7duqhUqVKZLP/nn38GcOfRtsWxfft2PPzww6hRowZmzJiB7OxsLFy4EO3bt8eRI0eMx+m///4b+/fvx7Bhw1ClShVcunQJixYtQufOnXHq1Cl4eHgAAOLj49GlSxcUFBRgypQp8PT0xJIlSyxeg3jnnXcwe/Zs9OnTB3369MGRI0fQs2fPYj0Kz/Ajk7vvNgkLC0OVKlVMfoSyfft21K1bF5s2bcJrr72GuLg4+Pv744UXXsC7775rHGgoSZl3S0xMxLZt2zB06FCLdyBHR0cjLy8PEydORHJyMubOnYvHH38cXbt2xa5du/DGG2/g/PnzWLhwIV599VV8++23AIC4uDgkJCRYvKumVatW2LRpk8l6AncGAlu0aIHDhw/DxcUFAwcOxBdffIGAgADlBtVg2bJl8PLywssvvwwvLy/88ccfeOedd5CWloZ58+YZ59u2bRseffRRhIaG4sUXX0TlypVx+vRp/Prrr3jxxRdNyuzSpQsyMjLg4uKCXr164aOPPjJ5XziRGUFE5dKhQ4cEALFt2zYhhBB6vV5UqVJFvPjiiybzARAvvPCC8d/x8fEiKChIABB169YV48ePFytXrhQpKSma6pOYmCgAiOnTpxdr/ldeeUUAEKdOnZLOl5SUJFxcXMTjjz9e4jo1btxYPPLII9J5HnzwQVGlShWRnp5unLZr1y4BQERERCjmFRQUiJCQENGqVSuT6YWFhcLPz09069bNZPqtW7eEp6enACAOHTokrdPOnTsFAFGvXj2Rm5trnP7JJ58IAOLff/8VQgiRl5cngoODRZMmTUzmW7JkiQAgOnXqJF1O0WXt3LnTOK1Tp04CgPj++++N03Jzc0XlypXFoEGDjNP+/vtvAUAsXbpUdTlFl7Vu3TqT6dOnTxd3f9x4enqKkSNHmpXh6+tr0p+Lq2/fvsLDw0PExcUZp507d044OTmZLbuoc+fOCV9fX9GjRw9RUFBQ4uUSEdnK1q1bhaOjo3B0dBRt27YVr7/+uvj9999FXl6e2bwREREmx9zJkycLAGLPnj3Gaenp6aJ69eoiMjJSFBYWCiHufBYW/fwRQojbt2+LkJAQ8cwzzxinxcbGCgCiUqVKIjk52Tj9p59+EgDEL7/8Il0Xpc+Poho3biz8/f2N/166dKkAIGJjY4UQd85/nJycxIABA0zyZsyYIQCYrL+lz8ZHHnnE4nlBcdtACFGs86SSnKd16tRJNGjQQAghxPr164Wzs7MYM2aMcfsIIcTw4cNFWFiYybQjR44U6/O7uH3IsH0tlXf3Ohs+84cPH242b9u2bUXz5s1Npv31118m5yR6vV7Url1b9OrVS+j1euN8WVlZonr16qJHjx7GaW+++aZwdXU1abuEhATh5ORU7PPV4jCsv6U/Qx+6ex8rSR9bvny5cHBwMNkfhRBi8eLFAoDYt2+fcRoA4eDgIE6ePFmsukdERAgAYsuWLcVeXyIiWzt58qQAIGbNmiWEECI/P194enqK7777TgghREhIiPj888+FEEKkpaUJR0dHMWbMGMXylI6/SgYOHCgAiNu3bxdr/iZNmojg4GCRlJRknHb8+HHh4OAgnn76aeO0rKwss9yYmBiz7+aG87SDBw8apyUkJAhfX1+Tc5+EhATh4uIiHnnkEZPPzLfeesvs3MeSefPmCQDiypUrZrGWLVuKNm3aGP/t4+Mj/P39haurq5g2bZr44YcfxIgRIwQAMWXKlFKVebeFCxcKAGLTpk0m0w2fw0FBQSaf+W+++aYAIBo3bizy8/ON04cPHy5cXFxETk6OEOL/r2sUbWOD1157TQAwztuvXz/jOe0TTzwhfvjhBzFt2jTh5OQk2rVrZ9LORb3wwgvS6w5qLPWNcePGCQ8PD2PdCgoKRPXq1UVERIRZ3yxarzVr1oioqCjx3XffiY0bN4qpU6cKDw8PERgYaHG7GDRo0KBY15jo/sV7yojKqejoaISEhBhfyKjT6TB06FCsXr1aertoSEgIjh8/jvHjx+P27dtYvHgxRowYgeDgYMyaNcviLcFlTa/XY/Xq1WjatCnq1asnnfeHH35AXl5eqZ456+fnh5MnT+LcuXMW49evX8e///6Lp59+2uQl0J06dcKDDz4oLXvHjh24efOmWb0cHBwwbtw47NixA2+++SbOnTuHw4cP4/HHHzf+WqfobfEyo0aNMnlkneFunYsXLwIADh06hISEBIwfP95kvqioKPj6+hZrGUq8vLxMnqvv4uKCVq1aGZdtK35+fjh48CCuX79e7JzCwkJs374dAwYMMHkpaa1atfDwww8r5mVmZmLgwIHw9/fHqlWrSv1uCyIiW+jRowdiYmLQr18/HD9+HHPnzkWvXr0QHh5u/AWskk2bNqFVq1Ymz+738vLC2LFjcenSJZw6dQrAnff+GD5/9Ho9kpOTUVBQgBYtWlh8DOjQoUONd4MA5p9rWnh5eSE9PV0xvmPHDhQUFOD55583mT5x4kRNyy1pG6gpzXnaqlWrMHToUIwbNw5ffvmlyWNBnn76aVy/ft3k8XeGO7QtPSKnKC19SM348ePNpg0dOhSHDx/GhQsXjNPWrFkDV1dX42Nljh07hnPnzmHEiBFISkrCrVu3cOvWLWRmZqJbt27YvXu38XE7Tz/9NHJzc00eXbNmzRoUFBQovjtIi7Fjx2Lbtm0mf40bN9Zc7rp161CvXj3UrVvXuL63bt1C165dAcDs0YadOnVC/fr1i11+9erV0atXL831JCK6V+rVq4dKlSoZ3zV0/PhxZGZmGp9q0a5dO+MjSGNiYlBYWGhyTqNVWloaAMDb21t13hs3buDYsWOIiooyucukUaNG6NGjh8ldKkXvBMrPz0dSUhJq1aoFPz8/k3OKTZs2oU2bNmjVqpVxWlBQkNm1ie3btxvvrCn6iPXJkycXaz0N1y0svVfPzc3N5LpGRkYGbt++jXfffRczZ87EoEGDEB0djd69e+OTTz4xnqOVpMy7rVy5EkFBQRbfVQTcuUu56HWQ1q1bAwCefPJJk0fbtW7dGnl5ecZH7qrVqeg8GRkZAICWLVtixYoVGDRoEGbOnIlZs2Zh//792LFjh2L9tSjaN9LT03Hr1i089NBDyMrKwpkzZwDcuUsrNjYWkydPNntUcNHt//jjj2Pp0qV4+umnMWDAAMyaNQu///47kpKSpHfkE3GQiKgcKiwsxOrVq9GlSxfExsbi/PnzOH/+PFq3bo2bN2+qfjCFhoZi0aJFuHHjBs6ePYtPP/0UQUFBeOedd/DNN99Yvf5//vkn4uLiijXwEx0djYCAAOnFfCUzZ85ESkoKHnjgATz44IN47bXX8M8//xjjhufe16pVyyzX0rS76+Xo6IihQ4daXO7o0aMxd+5cPPDAA2jRogWcnJwwevRoAP//+JDExETEx8cb/wwnHAZFn4cLwHhhzfBMfkP9774l2NnZGTVq1DCZVnQ58fHxqgNVVapUMTmRMCy/6PsAbGHu3Lk4ceIEqlatilatWmHGjBmqFxcTEhKQnZ1d4u08ZswYXLhwARs3biyzRxMQEd1LLVu2xIYNG3D79m389ddfePPNN5Geno7BgwcbB3osuXz5ssVHThl+2FH0vTHfffcdGjVqZHz3X1BQEH777Tekpqaa5at9rmmRkZEhvVij9JkfEBBgMnBVGiVpg+IoyXlabGwsnnzySQwaNAgLFy40++zu0aMHQkNDjY/I1ev1WLVqFfr371+si1ul7UNqqlevbjZtyJAhcHBwwJo1awDceY/CunXr8PDDD8PHxwcAjD/8GTlyJIKCgkz+vv76a+Tm5hrbvW7dumjZsqXJOzujo6PRpk0b6ed/YWGh2XlTcR7LU7t2bXTv3t3kT2vfAu6s88mTJ83W94EHHgBw5zynKEttK1PS+YmIbE2n06Fdu3bGdw/t27cPwcHBxmN70UEiw3/LcpDI8Jkk+3GKgeH8Q+m8yvBDB+DOQMQ777yDqlWrwtXVFYGBgQgKCkJKSorJOcXly5ctPhbs7mUoXS8ICgoq1ueTYWDi7vffAUBOTo7JwIXh/4cPH24y3/Dhw5GdnW18jFxJyizq4sWLiImJwdChQ00GfIq6+zzTMGB092P4DdMN559qdSo6j9J6jhgxAgCwf/9+i3XT6uTJkxg4cCB8fX3h4+ODoKAg4w9eDH3D8COb0jwiuEOHDmjdurXxcXpElnCQiKgc+uOPP3Djxg2sXr0atWvXNv49/vjjAGDyZVhGp9PhgQcewMSJE7F79244ODgUO1eL6OhoODg4mH2w3u3KlSvYs2cPhgwZUqp3FXTs2BEXLlzAt99+i4YNG+Lrr79Gs2bN8PXXX5e26gDunLxt3LgR3bt3t/heHRcXF3z99de4fv06du/ejbNnz+L3339HamoqHBwcjCevLVu2RGhoqPHv7pdbKt25Upq7vYouJzQ01HgBRklZLrssPf7447h48SIWLlyIsLAwzJs3Dw0aNMDmzZvLdDmffPIJVq1aha+++qrE75MgIipvXFxc0LJlS8yZMweLFi1Cfn4+1q1bp7ncFStWICoqCjVr1sQ333yDLVu2YNu2bejatavFlydb67MlPz8f//33n+oPPKyhpG1QEsU5TwsNDUW7du2wadMmHDp0yKwMR0dHjBgxAuvXr0dOTg527tyJ69evl/hOGlkfuntgykB2Z7uli0BhYWF46KGHjC+IPnDgAK5cuWLygxxDm86bN8/srh3DX9G7w59++mn8+eefuHbtGi5cuIADBw6orvvVq1fNzpusddGnOPR6PR588EHF9b377riSviS7rF6qTUR0L3Xo0AGpqan4999/je8jMmjXrh0uX76MuLg47N27F2FhYWY/otSibt26AIB///23zMoE7tzd/N577+Hxxx/H2rVrsXXrVmzbtg2VKlXSfE5RGqGhoQDu3A11txs3bpg8pcPw/3dfHzG819cwIFOSMotauXIlAEh/aKx0nql2/qlWp4CAAONdRsVdz7KUkpKCTp064fjx45g5cyZ++eUXbNu2DR9++CEAlFnfqFq1KpKTk8ukLLo/WR6eJSKbio6ORnBwMD7//HOz2IYNG7Bx40YsXry4RF/6atSoAX9/f4sfjGUpNzcX69evR+fOnRVPAAxWrVoFIUSpHjVnEBAQgFGjRmHUqFHIyMhAx44dMWPGDDz77LOIiIgAAJw/f94sz9I0g59//hnp6emq9QoJCTGePBQWFmLXrl1o3bq18eJFdHS0yR09JT1xNdT/3LlzxkeOAHculsXGxpo84mTbtm0muQ0aNCjRsixRuihUFmRlh4aG4vnnn8fzzz+PhIQENGvWDO+9957i3WbBwcFwc3Mr9nbes2cPXn31VUyePFlT3yMiKo8ML+WVfd5HRETg7NmzZtMNj7MwfP788MMPqFGjBjZs2GBy3J4+fXpZVlnVDz/8gOzsbOkjs4p+5he9cyIpKalYX+iVPpfuVRsonae5ubnh119/RdeuXdG7d2/8+eefZp/xTz/9ND766CP88ssv2Lx5M4KCgjQ9XuzuPmT4NXJKSorJfEXvOCuuoUOH4vnnn8fZs2exZs0aeHh4oG/fvsZ4zZo1Adz5FXf37t1Vyxs2bBhefvllrFq1CtnZ2XB2drZ4F3hRlStXNjtvKovHxqlR6mM1a9bE8ePH0a1bN6ueexERVSSGO4P27t2Lffv2mTxCrXnz5nB1dcWuXbtw8OBB9OnTp0yX3bdvX7z//vtYsWKF8dG5SgznH0rnVYGBgfD09ARw55xi5MiR+Oijj4zz5OTkmH2+RkREWHyk/t3LKHq9oOi1hsTExGKd+xh+LHno0CGTR9tdv34d165dw9ixY43TmjdvjnPnziEuLs5kWYbHxAcFBZW4zKJWrlyJmjVrok2bNqr1Lqnw8HAEBQVZ/LHNX3/9ZfKj0ebNm+Orr74yPqrO4O71LEu7du1CUlISNmzYgI4dOxqnx8bGmsxnOEc6ceJEsc6R7nbx4kWr1J/uH7yTiKicyc7OxoYNG/Doo49i8ODBZn8TJkxAenq64rPiDx48aLyduai//voLSUlJFm+DLkubNm1CSkpKsS6+r1y5EtWqVSv1reFJSUkm//by8kKtWrWMtxGHhYWhYcOG+P77700e9fbnn39KfxW0cuVKeHh4YODAgcWuy/z583Hjxg288sorxmnt27c3eSRJSQeJWrRogaCgICxevNjkMSjLli0zO5G8+/Enhl/LaGE4mb17WQBw69YtnDlzBllZWaUu++5yCwsLzR7dExwcjLCwMJNbw+9etqOjI7p3744ff/zR5F1G58+fN7sD6caNG3j88cfRoUMHzJs3r1R1JyIqD3bu3GnxDh3Ds+9ln/d9+vTBX3/9hZiYGOO0zMxMLFmyBJGRkcb3nRh+mVl0OQcPHjTJs7bjx49j8uTJ8Pf3xwsvvKA4X7du3eDk5IRFixaZTP/ss8+KtRxPT0+Lj48r6zYozXmar68vfv/9dwQHB6NHjx4m7/QB7rz3oFGjRvj666+xfv16DBs2TPFRLUUVtw/5+PggMDAQu3fvNpnviy++UF3G3QYNGgRHR0esWrUK69atw6OPPmo83wDuXJypWbMm5s+fb/aYXuDOha+iAgMD8fDDD2PFihXGdyMEBgZK6+Dm5maVx8apUepjjz/+OOLi4vDVV1+ZxbKzsy32FyKi+12LFi3g5uaG6OhoxMXFmdxJ5OrqimbNmuHzzz9HZmZmmT5qDgDatm2L3r174+uvv8aPP/5oFs/Ly8Orr74K4M4PHJs0aYLvvvvO5PvtiRMnsHXrVpMBLEdHR7PP3YULF5rdmdunTx8cOHAAf/31l3FaYmKi2d3G3bt3h7OzMxYuXGhS7oIFC4q1ng0aNEDdunWxZMkSkzosWrQIOp0OgwcPNk4z/ACj6GNx9Xo9li5dioCAADRv3rzEZRocPXoUp0+fNj7SzRoGDRqEX3/9FVevXjVO27FjB/777z8MGTLEOK1///5wdXXF0qVLTe7gMTytRul9SVpYOtfMy8szO89q1qwZqlevjgULFphdSymae/e5EnDn3O7w4cPo3bt3Gdac7je8k4ionDHcxdKvXz+L8TZt2iAoKAjR0dEWfym5fPlyREdHY+DAgWjevDlcXFxw+vRpfPvtt3Bzc8Nbb71VovosX74cly9fNl6Q3717N2bPng0AeOqpp4y/XjGIjo6Gq6ur6suST5w4gX/++QdTpkwp9a8m69evj86dO6N58+YICAjAoUOH8MMPP2DChAnGeebMmYP+/fujffv2GDVqFG7fvo3PPvsMDRs2tHjxITk5GZs3b8agQYNMHmdS1IoVK7B+/Xp07NgRXl5e2L59O9auXYtnn31Wdb1LwtnZGbNnz8a4cePQtWtXDB06FLGxsVi6dGmZ3k6vpGbNmvDz88PixYvh7e0NT09PtG7dGtWrV8dnn32Gd999Fzt37kTnzp1LXHbz5s2xfft2/O9//0NYWBiqV6+OOnXqoEqVKhg8eDAaN25sbNu///7b5NdWlpY9Y8YMbN26Fe3bt8dzzz2HwsJC43Y+duyYMXfSpElITEzE66+/jtWrV5vUyXCRjYioIpg4cSKysrIwcOBA1K1bF3l5edi/fz/WrFmDyMhIjBo1SjF3ypQpWLVqFR5++GFMmjQJAQEB+O677xAbG4v169fDweHO78geffRRbNiwAQMHDsQjjzyC2NhYLF68GPXr17f4GarVnj17kJOTg8LCQiQlJWHfvn34+eef4evri40bN6Jy5cqKuSEhIXjxxRfx0UcfoV+/fujduzeOHz+OzZs3IzAwUPVco3nz5lizZg1efvlltGzZEl5eXujbt2+Zt0Fpz9MCAwOxbds2dOjQAd27d8fevXsRHh5ujD/99NPGC1bFfdRcSfrQs88+iw8++ADPPvssWrRogd27d+O///4r8foHBwejS5cu+N///of09HSzc1kHBwd8/fXXePjhh9GgQQOMGjUK4eHhiIuLw86dO+Hj44NffvnFJOfpp582XnSaNWtWiet0ryj1saeeegpr167F+PHjsXPnTrRv3x6FhYU4c+YM1q5di99//914dxcRkb0wPAZ1z549cHV1NQ5CGLRr1874HdHSINE///xj/GHt+fPnkZqaaryO0bhxY5O7WC35/vvv0bNnTzz22GPo27cvunXrBk9PT5w7dw6rV6/GjRs3jI+TnzdvHh5++GG0bdsWo0ePRnZ2NhYuXAhfX1/MmDHDWOajjz6K5cuXw9fXF/Xr10dMTAy2b99u9n7c119/HcuXL0fv3r3x4osvwtPTE0uWLEFERITJO5iDgoLw6quv4v3338ejjz6KPn364OjRo8Zzn+KYN28e+vXrh549e2LYsGE4ceIEPvvsMzz77LPGd1UCdwZPunXrhvfffx+3bt1C48aN8eOPP2Lv3r348ssvjY9rK0mZBobBL2s+5eOtt97CunXr0KVLF7z44ovIyMjAvHnz8OCDD5qc71SuXBlvv/023nnnHfTu3RsDBgzA8ePH8dVXX2H48OFo2bKlcd7Lly9j+fLlAGC8S8nQxyIiIvDUU08Vq27t2rWDv78/Ro4ciUmTJkGn02H58uVmA4oODg5YtGgR+vbtiyZNmmDUqFEIDQ3FmTNncPLkSfz+++/G8po2bYoWLVrA19cXR44cwbfffouqVauanWfu3r3b+COgxMREZGZmGtehY8eOJnc2kR0QRFSu9O3bV7i5uYnMzEzFeaKiooSzs7O4deuWACBeeOEFY+yff/4Rr732mmjWrJkICAgQTk5OIjQ0VAwZMkQcOXKkxPXp1KmTAGDxb+fOnSbzpqamCjc3N/HYY4+pljtlyhQBQPzzzz8lrpPB7NmzRatWrYSfn59wd3cXdevWFe+9957Iy8szmW/16tWibt26wtXVVTRs2FD8/PPPYtCgQaJu3bpmZS5evFgAED///LPicg8ePCg6duwo/P39hZubm2jcuLFYvHix0Ov1xar3zp07BQCxbt06k+mxsbECgFi6dKnJ9C+++EJUr15duLq6ihYtWojdu3eLTp06iU6dOhV7WUW3VadOnUSDBg3M5h05cqSIiIgwmfbTTz+J+vXrCycnJ5O6TZ8+3axcpfUyzFvUmTNnRMeOHYW7u7sAIEaOHClyc3PFa6+9Jho3biy8vb2Fp6enaNy4sfjiiy8slnd3/9uxY4do2rSpcHFxETVr1hRff/21eOWVV4Sbm5vJuiv15+nTp8sbk4ioHNm8ebN45plnRN26dYWXl5dwcXERtWrVEhMnThQ3b940mTciIkKMHDnSZNqFCxfE4MGDhZ+fn3BzcxOtWrUSv/76q8k8er1ezJkzR0RERAhXV1fRtGlT8euvv5p9Xhg+v+bNm2dWz+IcXw2fH4Y/Z2dnERQUJDp27Cjee+89kZCQYJazdOlSAUDExsYapxUUFIhp06aJypUrC3d3d9G1a1dx+vRpUalSJTF+/Hiz5RX9HMnIyBAjRowQfn5+AoBx/YrbBsVd15Kcp1n6vD5//rwIDQ0V9erVE4mJicbpN27cEI6OjuKBBx6QLr+okvShrKwsMXr0aOHr6yu8vb3F448/LhISEszW2fAZXbRud/vqq68EAOHt7S2ys7MtznP06FHx2GOPiUqVKglXV1cREREhHn/8cbFjxw6zeXNzc4W/v7/w9fVVLE8LWf82uHsfK0kfE0KIvLw88eGHH4oGDRoIV1dX4e/vL5o3by7effddkZqaapzv7vN+NREREeKRRx4p9vxEROXJm2++KQCIdu3amcU2bNhg/CwpKCgwixvOEyz93X1OpCQrK0vMnz9ftGzZ0vg5Wbt2bTFx4kRx/vx5k3m3b98u2rdvL9zd3YWPj4/o27evOHXqlMk8t2/fFqNGjRKBgYHCy8tL9OrVS5w5c8biedo///wjOnXqJNzc3ER4eLiYNWuW+Oabb8zOfQoLC8W7774rQkNDhbu7u+jcubM4ceKExTKVbNy4UTRp0kS4urqKKlWqiKlTp5pdUxFCiPT0dPHiiy+KypUrCxcXF/Hggw+KFStWaCqzsLBQhIeHi2bNminWT+lzWOn6g2Hb//333ybTT5w4IXr27Ck8PDyEn5+feOKJJ0R8fLzZ8vR6vVi4cKF44IEHhLOzs6hatarF+t99/lr0rzjXaorat2+faNOmjXB3dxdhYWHi9ddfF7///rvF6x579+4VPXr0MF4zadSokVi4cKEx/vbbb4smTZoIX19f4ezsLKpVqyaee+45i+tqOG/j9RESQgidEDZ+SzkRkQ00adIEQUFBZs+kp/vLgAEDcPLkSYvPdCYiovtfSkoK/P39MXv2bLz99tu2ro7V3Lp1C6GhoXjnnXcwbdo0W1fnniooKEBYWBj69u1r8hgcIiIiIiIqHr6TiIjua/n5+SgoKDCZtmvXLhw/frxUj0mj8is7O9vk3+fOncOmTZu4nYmI7MTdnwPA/z+X/37/LFi2bBkKCwuL/WiT+8mPP/6IxMREPP3007auChERERFRhcQ7iYjsUHZ2tsUX5xYVEBAAFxeXe1QjU2VZv0uXLqF79+548sknERYWhjNnzmDx4sXw9fXFiRMnzJ7/SxVXaGgooqKiUKNGDVy+fBmLFi1Cbm4ujh49itq1a9u6ekREZGXLli3DsmXL0KdPH3h5eWHv3r1YtWoVevbsaXxO+/3mjz/+wKlTpzBt2jR06dIFGzZssHWV7pmDBw/in3/+waxZsxAYGIgjR47YukpERERERomJiSgsLFSMu7i4ICAg4B7WiEgZ7ySi+05GRgbGjx9vlRcq3y/WrFmD0NBQ6d/+/fvvi/r5+/ujefPm+PrrrzFx4kQsW7YMjzzyCPbu3VviASL2rZK51+3Vu3dvrFq1ChMnTsTChQvRsmVL7N69u0IMELFvlQzbq/z65ptvsGPHDltXw67Z8zZo1KgRnJycMHfuXEyePBl79uzBiy++iPXr19/TetzLbTBz5ky8/PLLaNKkCRYuXHhPllleLFq0CM899xyCg4Px/fffm8TseT8oL7gNiMqG4bw3KyvL1lWp0NiOZYdtWXwtW7aUXtdq2LAhv9OWAV4fKBu8k4juO9euXUPVqlVx9epVVKlSxdbVKZdu3LiBkydPIjExESNGjMDKlSsRFBRkMk/z5s3h7+9v0/rJ2KJ+7Fslw/YqPrZVybC9yq/IyEg88MAD2Lp1q62rYre4DWyP28D2uA1sj9uAqGxcuXIFERERiIuLQ1hYmK2rU2GxHcsO27L49u3bZ/FxyACQkJCAJ554gt9py4ChT7IttXGydQWI6N4z/Grh2rVrAICHHnqoXB1IDfUjIqKKJTIyEhcvXrR1Newat4HtcRvYHreB7XEbEBGRvWvfvr1i7MqVK/ewJkTq+Lg5IiIiIioT9evXR0JCgq2rYde4DWyP28D2uA1sj9uAiIiIqOLgnUQVnF6vx/Xr1+Ht7Q2dTmfr6pQL6enpxv+mpaXZuDblG9uqZNheJcP2Kj62VckUp72EEEhPT0dYWBgcHPibGGsznI80aNCA/djGGjZsyG1gY9wGtsdtYHvcBjwXudfu12sj/J5QNtiOZYdtWTbYjmWHbamsJOcifCdRBWd4LwMRERGZ43OJ7w2ejxAREVnGc5F7g+ciRERElhXnXIR3ElVw3t7eAO5sbB8fnxLn+/r6lnWVii01NbXUuVrqrWW5FZWsvWzZHuV1O5bX9pJRa0u1epfXbVERadkWWrejtVTE/pWWloaqVasaPyfJugzt/PHHH8Pd3d3iPJmZmYr5jo6O0vINvw4rDWvuk7dv31aM5ebmaqqX7FfQbm5u0tyMjAzFmJOT/PRfreykpCTFWEFBgTRX9ts0WZ2LU6+bN28qxtR+NZeTkyONy6j93k5W7+DgYGmuXq9XjLm6ukpz1baFh4eHYkytvWTLzsvLk+YmJydL4y4uLooxte86sn1Ord+r3XUgW/b169elubKXemdlZUlzU1JSpPGAgADFmNo+I4urbSc1svVS65uy/qX0+WLg5+cnjcv2dbXzjaCgIMXYpUuXLE7Pzc3Fxx9/zHORe8TQzufPn1ds84p4h5GW33Vb8zfh9+PvzdXWSUvcmrmFhYXSeH5+vmJM7RxI9tmq9pmvdryXnW+ofYbJPg9k5ziA/FwDkH8vUfvOIjvGaD3+aOkjsnNKtf6jFpeVLYupUTsfVYvLzv3Uzgtl21ltO1rzzuHS9KG0tDRUq1atWOciHCSq4AwdxMfHp1SDRLZkq/pWtHaytoraHuw/JWPNelfUNrEVLe1VXtu6PPevingxoCIytLO7u7vilzbZlwS1L1yyL7dq1C4qyr78quVmZ2crxtT6nlrZWgaJZF/KnZ2dpblaLixrGSRS28ZqgyKyL/xqX9a0fIFV+1Iuq5faOsnqpbad1NpTlq/WXlpytWxHtXWW7TNaB4lk+6uWC1lqfU9L2Vr2ZbVcNbL1suYgkZbjqtrAvqxstX7Nc5F7w9DO3t7eiuePFXFbcJDo3qmog0Rqx1XZOYHaeaEsbstBItlAkNogkdoxm4NEZRe35iCR2rbgIFHJc/lgXCIiIiIiIiIiIiIiIjvEQSIiIiIiIiIiIiIiIiI7xEEiIiIiIiIiIiIiIiIiO8RBIiIiIiIiIiIiIiIiIjskf1MT3fes+bJBa74UUlbvivgySq3U1lnLdrZm2ffjyy7vR2rbSdZHtOSq5duy31uL1n1CS721vAhTCx4H7i83btxQfNGs7KXgXl5e0nJzcnIUY8HBwdLcS5cuSeM1a9ZUjHl7e0tzs7OzFWNqL1BPSUmRxmUv+1UrW/YyVrXlBgYGSuOybaG2HWXtFRAQIM1Vq7fsJbGy5QJAYmKiYkz2smdA/YXPsvZMTU2V5spevKz2wl21esv6kNqLpmXbQm25ai+Tlh0nZH0PsO7LomXCw8Ol8czMTMWYWnupvVxb1r+OHDkiza1WrZpiTO2ly2rHoPj4eMWYr6+vNNfPz08x5uPjI81Ve4l6enq6YkztOCFbp4iIiFKVSfeetc47rXmMseZ3Hi2s9b3DltTWScu2UFtnWVyv10tz1Y7ZsnMGtc8ZWdkuLi7SXC31Vju/ktVb7RxJS99VWydbnYto6V9acrWWrWW5WmhZJ63HZGv1A6VyS7I83klERERERERERERERERkhzhIREREREREREREREREZIc4SERERERERERERERERGSHOEhERERERERERERERERkhzhIREREREREREREREREZIc4SERERERERERERERERGSHnGxdASrfdDqdYkwIIc1Vi2spW5arRi1XbdkVUXndjhVRRe0/1qy3LNeW7aXlOFFR66Wl3uW1XlSxuLq6wtXV1WIsJCREMS8jI0NabnZ2tmIsNzdXmuvp6SmNZ2ZmSuMyiYmJijEXFxdpbmBgoDRetWpVxdj169eluenp6YqxgIAAaa4aDw8PxVhOTo6msmXUjlF5eXmKMbU+kpWVpRiT9T0AcHNzk8Z9fX1LtVwA8PHxUYylpaVJc2XbCZC3SWRkpDT3/PnzijEnJ/nXS6Xjg0GlSpUUY87OztJcvV6vGHNwkP82Mi4uThoPCgpSjN2+fVuaK2trPz8/aW5CQoI0XlBQoBhTO/bJ+q5sfQF5HwDkfVe2TwBAYWGhYuzWrVvSXNmxD5D3oXr16klzU1JSFGNK+6M1j4mkTAiheO6p5XuLFtYsuzwu19qs9d3Clu2lpW+qfcZp4ejoqBiTfe4C2q4lyZYLyM831HJt9b23vO6PtqyXbNlq9bLmdWFrtom1+khpPvfuxjuJiIiIiIiIiIiIiIiI7BAHiYiIiIiIiIiIiIiIiOwQB4mIiIiIiIiIiIiIiIjsEAeJiIiIiIiIiIiIiIiI7BAHiYiIiIiIiIiIiIiIiOwQB4mIiIiIiIiIiIiIiIjsEAeJiIiIiIiIiIiIiIiI7JCTrStAFZdOp5PGhRCa4tbKVSNbL7Xlasm1Ji3L1rqdbUXLtqiI7aWlb1qT1nrJ8iti31OjdZ1s1e/V3I/HVbIsLS0Nubm5FmOhoaGKeTk5OdJy3d3dFWMFBQXSXDc3N2lc1o8uXbokza1Vq5ZiLCEhQZrr6OgojR89elQx5uHhIc0tLCxUjLm4uEhzs7OzpXFXV1fFWF5enjRXFlfqNwaydQIAZ2dnaVxGr9crxtSOMw4O8t/cydZZtlxAvq0yMzOluVlZWdK4n5+fYuzMmTPSXFm/v3nzpjTX09NTGpftc2p9IDg4uNTLlbUHACQmJirGIiIipLmyY9S1a9ekueHh4dK4k5Py1/lq1apJcy9fvqwYUzs+hYSESOOxsbGKMbXjvaxvqx3Pg4KCpHFZe6vtM7LcSpUqWZxuq/Nve6fX61WPr6VhzXNSLX2lvPYzWZuU12sMtvxOba3vS4D8XKW8bgu18ytZXC1XTXm9ZmOrfV2tPbXs61qWa81+r2W51mSttjbgnURERERERERERERERER2iINEREREREREREREREREdoiDREREREREREREVrBixQo8//zz6Ny5MyIjI7F06VJbV4mIiIjIBN9JRERERERERERkBS+88AK8vb0RHByM2rVrq74vioiIiOhe4yAREREREREREZEVpKamwsfHx9bVICIiIlLEx80REREREREREVUAkZGR0Ol0Jn8ffPCByTxfffUVIiIi0LRpUxw8eNBiOefPn4e3tzf8/PxMpp88eRKDBg0yLmfBggVmuVFRUZgxY4bx30IIvPPOOwgNDYW7uzu6d++Oc+fOmeQkJyfjiSeegI+PD/z8/DB69GhkZGQY47t27UJkZKTF8omIiMi6eCfRfcLX11cxJoQodbmyXJ1OV+py1fK11FnLcrUu25r1ttVytZStpa2tuZ2sWbYWWvYptTqX1/ay1b6utlwt66yl7PLaN9VYc1+nisXf3x/u7u4WY9euXVPMU/uFdUBAgGIsKSlJmuvo6CiNp6amKsYCAwOlubGxsYqx8PBwaW5+fr40HhERoRjLy8uT5l69elUx5uAg/41Yp06dpPH169crxtTa2sXFRTEm28YAEBcXV+qynZ2dpbleXl6lznV1dZXGZevl7+8vzdXyOabWnmr9T+bmzZuKsezsbGlubm6uNN6wYUPF2Pnz56W5aWlpirFKlSpJc9X2KVn/io+Pl+befQG+KLXtoFZ2UFCQYiw9PV2aK+t/ycnJ0tyUlBRp3NPTs1QxANDr9Yoxtf1NlgvIj6uJiYnSXFkfyszMtDg9JydHWqYWM2fOxJgxY4z/9vb2Nv7/lStXMHfuXKxevRpxcXEYNWoUTp06ZZKfn5+P4cOH46GHHsL+/ftNYllZWahRowaGDBmCl156qVj1mTt3Lj799FN89913qF69OqZNm4ZevXrh1KlTcHNzAwA88cQTuHHjBrZt24b8/HyMGjUKY8eOxcqVK0vbDBYJIRSPkdY671QrV2v8fmPL7zTl9fuUjDX7h5ayrXlNUEuuNdtLy3UXW+7nsmWrfTfQQsv+plYvte8dsny1smXx8nq8VmrrkmwDDhIREREREREREVUQ3t7eqFy5ssVYWloa/Pz80KhRI1SuXNni4O3UqVNRt25ddOvWzWyQqGXLlmjZsiUAYMqUKap1EUJgwYIFmDp1Kvr37w8A+P777xESEoIff/wRw4YNw+nTp7Flyxb8/fffaNGiBQBg4cKF6NOnD+bPn4+wsLASrT8RERGVLT5ujoiIiIiIiIiogvjggw9QqVIlNG3aFPPmzUNBQYEx1rBhQzRq1Ai+vr5o0KABZs+ebZL7xx9/YN26dfj888/LpC6xsbGIj49H9+7djdN8fX3RunVrxMTEAABiYmLg5+dnHCACgO7du8PBwUHxcXhERER07/BOIiIiIiIiIiKiCmDSpElo1qwZAgICsH//frz55pu4ceMG/ve//xnn+eabbzB37lx4eHiYPAY2KSkJUVFRWLFiheqjXmWWLVtm/H/DYxFDQkJM5gkJCTHG4uPjERwcbBJ3cnJCQECAcZ7OnTvj0qVLZuUrycrKMnk0otojFomIiOzV1atXTR5NGxAQYPbIbQ4SERERERERERHZyJQpU/Dhhx9K5zl9+jTq1q2Ll19+2TitUaNGcHFxwbhx4/D++++bvLfJ0nuUxowZgxEjRqBjx45lV3kbefnll/Hll1/auhpERETl3t3v/Rw/fjwWLVpkMo2DRERERERERERENvLKK68gKipKOk+NGjUsTm/dujUKCgpw6dIl1KlTR1rGH3/8gZ9//hnz588HcOd9Qnq9Hk5OTliyZAmeeeaZEtfd8G6kmzdvIjQ01Dj95s2baNKkiXGehIQEk7yCggIkJycrvltJzfz58zF16lTjv9PT01G/fv1SlUVERHQ/O3PmjMmdRH5+fmbzcJCIiIiIiIiIiMhGgoKCEBQUVKrcY8eOwcHBwexxbpbExMSgsLDQ+O+ffvoJH374Ifbv34/w8PBSLb969eqoXLkyduzYYRwUSktLw8GDB/Hcc88BANq2bYuUlBQcPnwYzZs3B3BnwEqv16N169alWq6Xl5fJo3LS0tJKVQ4REdH9LjQ0VPUxsxwkIiIiIiIiIiIq52JiYnDw4EF06dIF3t7eiImJwUsvvYQnn3wS/v7+qvn16tUz+fehQ4fg4OBg8hiavLw8nDp1yvj/cXFxOHbsGLy8vFCrVi2zMnU6HSZPnozZs2ejdu3aqF69OqZNm4awsDAMGDDAuNzevXtjzJgxWLx4MfLz8zFhwgQMGzYMYWFhGlqEiIiIygIHieycTqeTxoUQpYrZkpZ1opKTtbc121rLdlbLtSZrtZfWfm/LNimPrNlettzOpS1b675sq+ME3Xs5OTmKMUdHR8WY2q9/ZblF379gSWpqqjTu6+tb6tzq1asrxu5+rM7dLN3iX1RSUpJirOiLui0JCAhQjOXm5kpz//zzT2nc09NTMVazZk1p7vXr1xVjWVlZ0lw1Tk7KX2tkdQbkxyG9Xi/NLfpCeEuK/mL/bmrbQtYmlt41UlRmZqY0LlsvBwcHae6tW7cUY4GBgdLc7OxsafzKlSuKMdk2BuTtee7cOWmubJ8BIP3lpYuLizQ3MTFRMaa2HbUcG9X6gOx4rfb4r6KPK7EkIyNDMablc1+t/6jVW9ZeERER0twzZ86UeLlq9S0NV1dXrF69GjNmzEBubi6qV6+Ol156yeQ9RVpdv34dTZs2Nf57/vz5mD9/Pjp16oRdu3ZZzHn99deRmZmJsWPHIiUlBR06dMCWLVvg5uZmnCc6OhoTJkxAt27d4ODggEGDBuHTTz8ts3prpXaebavvS7b8nqblepC1cosTtxZbXt/QkqtlW8jKtuY+Y81+b6vtWFHbS+280FrLVitXS72s2V7WvGZj7eucHCQiIiIiIiIiIirnmjVrhgMHDpRZeVFRUWbvQoqMjCzxRSydToeZM2di5syZivMEBARg5cqVpakmERERWZl82I2IiIiIiIiIiIiIiIjuSxwkIiIiIiIiIiIiIiIiskMVapAoMjISOp3O5O+DDz4wmeerr75CREQEmjZtioMHD1os5/z58/D29jZ7FvzJkycxaNAg43IWLFhglhsVFYUZM2YY/y2EwDvvvIPQ0FC4u7uje/fuZs+8Tk5OxhNPPAEfHx/4+flh9OjRJs9p3rVrFyIjIy2WT0REREREREREREREZA0VapAIAGbOnIkbN24Y/yZOnGiMXblyBXPnzsXq1avx9ttvY9SoUWb5+fn5GD58OB566CGzWFZWFmrUqIEPPvhA9aWXBnPnzsWnn36KxYsX4+DBg/D09ESvXr1MXgT6xBNP4OTJk9i2bRt+/fVX7N69G2PHji3F2hMREREREREREREREZUNJ1tXoKS8vb0VB3DS0tLg5+eHRo0aoXLlysjOzjabZ+rUqahbty66deuG/fv3m8RatmyJli1bAgCmTJmiWhchBBYsWICpU6eif//+AIDvv/8eISEh+PHHHzFs2DCcPn0aW7Zswd9//40WLVoAABYuXIg+ffpg/vz5CAsLK9H6ExERERERERERERERlYUKdyfRBx98gEqVKqFp06aYN28eCgoKjLGGDRuiUaNG8PX1RYMGDTB79myT3D/++APr1q3D559/XiZ1iY2NRXx8PLp3726c5uvri9atWyMmJgYAEBMTAz8/P+MAEQB0794dDg4Oio/DIyIiIiIiIiIiIiIisrYKdSfRpEmT0KxZMwQEBGD//v148803cePGDfzvf/8zzvPNN99g7ty58PDwgLu7u3F6UlISoqKisGLFCvj4+JS6DsuWLTP+f3x8PAAgJCTEZJ6QkBBjLD4+HsHBwSZxJycnBAQEGOfp3LkzLl26ZFZ+SaSmppZqvYQQ0rhOpyt1rtZll0ey9lBTEde3OLSslzX7l8z9uC207Mv3K1ttZ1v2XS37lK3qrdY378f99X6m1+uh1+stxnJzcxXz7n5P5N1SU1MVY97e3tLcSpUqSeNFf3B0t/DwcGluXFycYszZ2VmaW/TRxCXNd3V1lebK1jkhIUGa6+joKI3LtpXh3FaJbJ0yMzOluWrrLIurbQsPDw/FWGFhoTRX1q8BwMXFRTHm5uYmzZU9cUAt9/Lly9J4gwYNFGM3b96U5ubn55cqBqhvR1n+3d+57iZbZ9k2BtT7n6wPJSUlSXMHDRqkGPvxxx+luWr9Ly0tTTEm63uAfJ1u3bolzQ0MDJTGZfkODvLfqVp6GohBlSpVpLnp6enSuNLnE3Dnx54yssfRK62v2nGerMPBwUGxn8nOO9XOSfl9ypRsf7JmLmC9bWHNbaylbGt+X7JmvdSO99aitf9o+e6qZbm26iPWrJc1+6atjtnWPE5oaS+l3JKUafNBoilTpuDDDz+UznP69GnUrVsXL7/8snFao0aN4OLignHjxuH99983+cJh6YvxmDFjMGLECHTs2LHsKm8DGRkZSE5ONv5b7USYiIjInsXFxZlcRPPz84OXl5cNa0REREREREREVH7YfJDolVdeQVRUlHSeGjVqWJzeunVrFBQU4NKlS6hTp460jD/++AM///wz5s+fD+DOSJper4eTkxOWLFmCZ555psR1N/ya6ObNmwgNDTVOv3nzJpo0aWKc5+5fbBYUFCA5OVn6ayQlr732GhYvXlziPCIiIntUv359k3+PHz8eixYtslFtiIiIiIiIiIjKF5sPEgUFBSEoKKhUuceOHYODg4PZ49wsiYmJMbld/6effsKHH36I/fv3qz5KREn16tVRuXJl7NixwzgolJaWhoMHD+K5554DALRt2xYpKSk4fPgwmjdvDuDOgJVer0fr1q1LvMx58+bh7bffNv47PT3d7AIYERER3XHq1CmTx5GpPdaMiIiIiIiIiMie2HyQqLhiYmJw8OBBdOnSBd7e3oiJicFLL72EJ598Ev7+/qr59erVM/n3oUOH4ODggIYNGxqn5eXl4dSpU8b/j4uLw7Fjx+Dl5YVatWqZlanT6TB58mTMnj0btWvXRvXq1TFt2jSEhYVhwIABxuX27t0bY8aMweLFi5Gfn48JEyZg2LBh0ueMK/Hy8jJ5TI7sOdRERET2Ljw8XNO7CImIiIiIiIiI7mcVZpDI1dUVq1evxowZM5Cbm4vq1avjpZdeMnlPkVbXr19H06ZNjf+eP38+5s+fj06dOmHXrl0Wc15//XVkZmZi7NixSElJQYcOHbBlyxaTl8lGR0djwoQJ6NatGxwcHDBo0CB8+umnZVZvIiIiIiIiIiIiIiKikqowg0TNmjXDgQMHyqy8qKgos3chRUZGQghRonJ0Oh1mzpyJmTNnKs4TEBCAlStXlqaaREREREREREREREREVlFhBolIztfXVzFW0oGvssrVQqfTSePWrJds2VqWez+uk1b34zqrla3WD0qba8vtKFNR+721tlNxlq2FNY9RWlhrW5TXfm/PPDw84O7ubjEm25a3bt2Slmvpsb8GKSkp0tykpCRpvFKlSoqxuLi4UtcrNjZWmqvX66Xxou/Supujo6M099y5c4qxqlWrSnPT09Ol8Zs3byrGcnNzpbkhISGKMa3HzqJ38Ze0bFkfUmtrT09PadzFxaVUMUC+X8j6B3BnX5Q5f/68Yiw/P1+aq7SPA0BBQYE0V62PODg4KMays7OluUUfyX03tUd0y5YLyPuIbLkAsG7dOsWY2nvyZP0akLe32rbQ4vbt29L4Aw88oBhT26eSk5MVY6mpqdJctX2qcuXKirGEhARproxSv1br72QdDg4Oivu0Nc93rcWa31vUzkVky1bLLfpO8JKUW5y4bJ3VjufW/J5nrVytZcvaU0tbqy1Xa1xGyzqpsda2smV72Yot+70Mr0FYJj96EhERERERERERERER0X2Jg0RERERERERERERERER2iINEREREREREREREREREdoiDRERERERERERERERERHaIg0RERERERERERERERER2iINEREREREREREREREREdoiDRERERERERERERERERHbIydYVILJECGGTXK35Op3OKuWqla1Gtmwt5WqltU1KS22dtbSX2jpZq2yt9dLCVv3eWvuqtcvWkmvN7WirPqLGVscJKp3bt28jOzvbYiwgIEAxr0qVKtJyr127phjT2keysrIUY5UrV5bmxsXFKcby8vKkuZUqVZLGCwsLFWNubm7SXA8PD8VYcnKyNNfT01MaV9q+ABASEiLNzcjIUIx5eXlJc9PT06VxWXupHYNky/b29pbmZmZmSuPOzs6KMb1eL82V9aHU1FRprtp+IWsvJyf5V8RatWopxm7cuCHNVdvOsbGxijEfHx9prmydXFxcpLlq/V5WtmyfAIDw8HDFmFp7yfoPIO9/attR1ofU+n1gYKA0Xrt2bcXYzp07pbm+vr6KsWrVqklzz58/L43n5OQoxiIjI6W5Fy9eVIwpHc/V+gZZh06nUzzuW+u7ry3PV6157UT2OSU7LqrF1T7/1Dg4lP737o6OjpqWLSPrX2p9z5rfqUu7XDVq28Ga62yrayNa1smaZautkzWv+92P3/Vl9bJmW1ujPUpSJu8kIiIiIiIiIiIiIiIiskMcJCIiIiIiIiIiIiIiIrJDHCQiIiIiIiIiIiIiIiKyQxwkIiIiIiIiIiIiIiIiskMcJCIiIiIiIiIiIiIiIrJDHCQiIiIiIiIiIiIiIiKyQ062rgCVjdTUVPj4+NzTZep0Ok35QogyqknJqNVbVi8tuVpZq2yt5craREvZWtvaVv3LmrTsc9bsu7bq91rao7z2e1v2W2u25/24P5Jl/v7+cHd3txi7deuWYp6Dg/x3S9WqVVOM5eTkSHM9PT2l8du3byvGateuLc29ceOGYiw7O1uae+XKFWk8ICBAMVapUiVp7vXr1xVjrq6u0tyMjAxp3NHRUTHm7+8vzXVyUv7qkZ6eLs0tLCyUxr29vRVjan3Ez89PMZaSkiLN9fLyksZly1baVwxkx86goCBprlq9ZdsiNze31GUXFBRIc9XIvs+oHSf0er1iTNZvASA5OVkalx1H1PbHpKQkxZhsPwfU6y1rb19f31KXnZmZKc3NysqSxvfv31+q5QLy467s2AaoH4Nk20J2PAfk2+rmzZsWp6vtS2QdOp2uVOe1FfU6gZblqsVlx1UtuWqf6Vpo2RZqnzNqZcvitvwub61la2mP4sRLm2vN7/rWLNeafcSabLns0tJybLTl/mhtvJOIiIiIiIiIiIiIiIjIDnGQiIiIiIiIiIiIiIiIyA5xkIiIiIiIiIiIiIiIiMgOcZCIiIiIiIiIiIiIiIjIDnGQiIiIiIiIiIiIiIiIyA5xkIiIiIiIiIiIiIiIiMgOcZCIiIiIiIiIiIiIiIjIDjnZugJUvul0ulLnCiHKsCamZPXSulxrla3WltZsL5nyWi9bLVeNNetly3WuiP3eVscYay7bmsutqGVrWS7de3l5eXBwsPwbJB8fn1KXm5SUpBgLDg6W5iYkJEjjfn5+irFTp05Jc52dnRVjOTk50twGDRpI45cvX1aMXblyRZor4+QkP/1/8MEHpfGjR48qxhITE6W5hYWFijFHR0dprlK/MsjOzlaM5ebmSnMzMzMVY56enqVeLiBvb7WyZe2p1u+9vLykcdk6+/v7S3PPnTunGKtSpYo0V62PyLZVamqqNFd2nHB3dy/1ctWWrbZOsmWrfY4VFBRI47L+lZWVJc319fVVjOn1emmuh4eHNC7b12UxALh+/bpiLC8vT5pbqVKlUpfdpEkTae4///yjGKtTp47F6WrHB7r3tJw7avm+dD+es6qt8/36vVlGtp2teW3tfuxftiRr7/La1uxfJWPN61DWbC9rbwveSURERERERERERERERGSHOEhERERERERERERERERkhzhIREREREREREREREREZIc4SERERERERERERERERGSHOEhERERERERERERERERkhzhIREREREREREREREREZIc4SERERERERERERERERGSHnGxdAbI+nU6nGBNClLpctVzZcrUum0yptbWM1u3A7Vh2rLnP2LLs+5G11rmiHletuVx77F/3q/DwcMXY2bNnpbkuLi6Ksbi4OGmun59fqctOTEyU5sr6p7OzszT36tWr0nh2drZizN3dXZrr5KR8iu/gIP+N2N9//y2Ny9y+fVsar1KlimJMrb3UtoW/v79izMfHR5qbn5+vGCsoKJDmqpGVXa1aNWmubJ1zcnJKvVwA8PX1VYzJ2hIAcnNzFWO3bt2S5hYWFkrjWnJl65ycnCzNTUlJkcZl+5ynp6c0Nzg4WDGWmpoqzQ0JCZHGvby8FGNJSUnSXNkxxtvbW5qbkJAgjQcEBCjGwsLCpLmy44jasU/tGOTq6qoYu3LlSqlzlfZVtf2UypeKes5pq/NwtfZSO9+Q0fqdiIrPlm0p285qfUBLrha2vP5lrW1lzT5gzWvOWpTX65hatoVSbknK5J1EREREREREREREREREdoiDRERERERERERERERERHaIg0RERERERERERERERER2iINEREREREREREREREREdoiDRERERERERERERERERHaIg0RERERERERERERERER2yMnWFaCy4evrqxgTQijGdDpdqZeplitbrjVpWSfAevW2VXvYetkysm2lVmct21lL2dZsy/JattZ9Sgtrbmctudbqu1qPq7bqu1rYsn9R2atWrRo8PDwsxuLi4hTz/Pz8pOU6OCj/riklJUWaGxYWJo3/888/irHq1atLc8+ePasYU2oHA29vb2nc3d1dMebq6irNTUpKUoxlZ2dLc2XnlIC83levXpXmyuJq7aFWr9zcXMVYWlqaNLegoEAxFhwcLM1NTk6WxgsLCxVjR48elea6uLgoxnJycqS5au0pa6///vtPmpuRkaEYU9tOzs7O0nhWVpZi7Pbt29LcmzdvKsZiY2OluampqdK4p6enYqxKlSrS3Ly8PMVY5cqVpbmy/gMAgYGBirH8/Hxprl6vV4zJjiEA4O/vL43L+kF8fLw0V8aa5wyy7QTI96n09HSL09W2Ad171upDtrwGoWXZsvMrQF4vR0fHUi9Xa3vJ8tXWyZrHEX7fMmXN7+NacDuVTHndjtZctrWuo6vlq5Vt7T7CO4mIiIiIiIiIiIiIiIjsEAeJiIiIiKhEduzYge7du6NmzZrw9vZWvXuAiIiIiIiIiMonDhIRERERUYlcuXIF58+fR7Vq1fD0009j0aJFtq4SEREREREREZUC30lERERERCUyatQojBo1yvjvtLQ0PPfcczasERERERERERGVBu8kIiIiIiIiIiIiIiIiskMcJCIiIiIiIiIiIiIiIrJDHCQiIiIiIiIiIiIiIiKyQ3wnkZ0TQkjjOp2u1Lm2Yst6WbO9rFW2rNzilK2lXlrqbc11tlYuUH73G1vt61rasyK2pRp7PH6pkS1b6/5IZe+///6Dm5ubxZjSdEB9W7q4uCjGPDw8pLnnz5+XxkNDQxVj165dk+b6+voqxnJycqS5iYmJ0riMWnvJ2trLy0uaK2trAEhJSVGMBQcHS3ODgoIUY/Hx8dJcR0dHadzb21sx5uQk/8qTnZ1dqhgAVK1atdRlq3F1dVWMpaenS3Nl2wkA/Pz8FGOyfg3I97nc3Fxpbl5enjReUFCgGMvIyJDmyvapK1euSHPT0tKkcXd3d8WY2v7o7+9fqnIB4NatW9K4bJ8rLCyU5sqo7W9qZO3p7OwszdXr9YqxhIQEaW716tWlcdl+ITuGAPJ9WSlX7dhD1qHT6Up1jmjLc/jyek7r4KD8u3K1OtvqOoGWelHJWPO7qzX7iDVZ8xpXeb0+a6vretZkzWuGsrg1j6vFwTuJiIiIiIiIiIiIiIiI7BAHiYiIiIiIiIiIiIiIiOwQB4mIiIiIiIiIiIiIiIjsEAeJiIiIiIiIiIiIiIiI7BAHiYiIiIiIiIiIiIiIiOwQB4mIiIiIiIiIiIiIiIjskJOtK0C2pdPppHEhRKlz1cjKtmauNVmzXlrK1rKttPQRW9Kyzlr6vVp7yPKtmauFtdqyOHFrseXxS7Zsrf2rvB5XrdVesnLT0tLg6+tb6uVS6RQWFqKgoMBiTK/Xl7pcV1dXxZi7u7s098qVK9J4fn6+YiwgIECa6+bmphiLjY2V5gYGBkrjsv4bFxcnzc3NzVWMOTs7S3MzMjKk8aysrFLFACA7O1sx5ujoKM1NT0+Xxh0clH/7lpaWJs2VcXFxkcZv3LghjdeuXVsxptbWqampirHMzExpboMGDaRxWXvK2lIt18PDQ5qblJQkjXt7eyvG1PqI7BhTWFgozVUj67s5OTnSXNl2lu2rgPpxIiUlRTGmdCw2cHJSvhSg1tZqfUR2LFDrI7Lc4OBgaa7seA4AoaGhirHz589Lc5s0aaIYO3z4sMXpan2Dypfy+r1WC63feWT7ujW/u1bUbVER6621j8iU1++m1ly2rdqzvG5HNdast61Y8/qrtfFOIiIiIiIiIiIiIiIiIjvEQSIiIiIiIiIiIiIiIiI7xEEiIiIiIiIiIiIiIiIiO8RBIiIiIiIiIiIiIiIiIjvEQSIiIiIiIiIiIiIiIiI7xEEiIiIiIiIiIiIiIiIiO8RBIiIiIiIiIiIiIiIiIjvkZOsKUMUlhLB1FSzS6XTSeHmtt63Ysj1k20qtXrbazrZsL9myrdkeWnKtWS+1sq21XGsqr/XS0taA7fou3Xs+Pj5wc3OzGEtLS1PMc3V1LfUyU1JSpPHQ0FBpPCsrSzFWWFgozY2Li1OMeXp6SnMLCgqk8StXrijGvL29pbmyNlFrj6SkJGnc2dlZMRYQEFDqevn5+Ulz8/LypHFZ//Lw8JDmyvpAZmamNFepvxtcvHhRMRYYGCjNlfU/Jyf517jr169L47J1rlSpkjRX1v/UlqtG1v8cHR2lubI+pNbW+fn50rjsGKW2r8v6iIuLizRX1q8B+f6oVrYsV60PqJHt6xkZGdLcoKAgxZjadrp9+7Y07uPjoxhTOwZdunRJMVazZk2L07Ozs6VlUsViq+8ttqSl3tb8riaLWzNXjZbrG/bIVtco1NhqO9pjH7HmsbG8HrPL83GCdxIRERERERERERERERHZIQ4SERERERERERERERER2SEOEhEREREREREREREREdkhDhIRERERERERERERERHZIQ4SERERERERERERERER2SEOEhEREREREREREREREdkhDhIRERERERERERERERHZISdbV4DKRmpqKnx8fCzGdDqdVZaptVwhRBnV5N6Ua23W2k6AvE3UlmvN9tRStjXrJWsTrcvVkl9e62XNcrWsszX3KVvRsk5a2suabW2P2/F+5uTkBGdnZ4uxmjVrKuZduHBBWm5hYWGp65STk1PqsuvXry/N3blzp2JMqR0M0tLSpPFq1aopxvLz86W5QUFBirEbN25Ic5XOJw08PDwUY+np6dJc2f6udixwcXEpdTwlJUWaW1BQoBgLDg6W5iYkJEjjlSpVUoxlZWVJc2XrFBAQIM1NTk6Wxr28vBRjV69elebK+oCnp6c018FB/htFvV6vGHN0dJTmyvqfbH8CAD8/P2lc9lkUGBgozZW1idrxSW1/lLWXWq5snVJTU6W5sn0GkPf73NzcUtcrMzNTmuvq6iqNX7lyRTEm69dqlI4x2dnZpS6TSk+n05Xq/NGW33sr4vluea2zWltb8xqEtfqQra4VaV12Rbzeo7ZsW/Z7a11Lsia15VbE6wha18la/Uup3JL0G95JREREREREREREREREZIc4SERERERERERERERERGSHOEhERERERERERERERERkhzhIREREREREREREREREZIc4SERERERERERERERERGSHOEhERERERERERERERERkh5xsXQGyPiFEhSq3PNPpdNK4rE3UctVoaW/ZstXK1bLOtqRlncvrOtmKlr6rtS215JfX7Vhe10nL8ctaxyctZaelpcHX17dUuVR6Li4ucHFxsRiLj49XzFPbzqmpqYoxT09PaW5eXp40HhAQoBiLiYmR5np4eCjGMjIypLkRERHSeFJSkmKsoKBAmiuLh4aGSnOdnZ2l8bi4OMVYfn6+NFe2rTIzMzXVS7adXV1dpbmy7ZiYmCjNdXNzk8Zl6yXrewBw9epVxVh6ero019HRURqX9ZHAwEBpbkpKimLMx8en1MsFID1u3759W5or61+1atWS5ubk5Ejjsu2o1l5eXl6KMbX+o+X4JTuGqC1b6ThuoHZ8k23HtLQ0aW7NmjUVY35+ftJctT7i7u6uGFM7fsnaS+k4odaviGxN6zWK0rLmd0QtZev1+lLnqrHmd2pbfleriGx1nUDrcrVc4yptufci31rLrYj93hrXikpSJu8kIiIiIiIiIiIiIiIiskMcJCIiIiIiIiIiIiIiIrJDHCQiIiIiIiIiIiIiIiKyQxwkIiIiIiIiIiIiIiIiskMcJCIiIiIiIiIiIiIiIrJDHCQiIiIiIiIiIiIiIiKyQxwkIiIiIiIiIiIiIiIiskNOtq4AlQ1fX1/FmBCi1OXqdLpSlyvLVctXyy1tubaktV5atoWWtrZW/6moZZfX/mVNtlxnax0LtJRr7bJLu1xrsuZy7XGfup/Fx8fDzc3NYiw4OFgxLyMjQ1quu7u7YqxatWrS3GPHjknjQUFBijFPT09prmx/DwgIkOZevnxZGpdxcpKfwsvqnZ2dLc1NSEiQxmXnnFq2hZ+fnzQ3LS1NGtfr9dK4jLe3t2LM0dFRmuvq6iqN+/v7K8b+/fdfaa6s37u4uEhz1dorLy9PMaa2LWTrnJKSIs1V2y+SkpIUY5UqVSp12enp6dJctf7j7OysGMvMzJTmytpL6Xhp4OAg/02n7Fgg21cBID8/XzGmdi4THh4ujefm5irGZPsbIO8Dshgg398A+bYKCwsrdb2U9hm14y1Zh06nU+zDtjrvVNunrPn9oSKy1XeP8vqdx5rXPqxJS7/mPmHOVtcgbEVrv6+IbaLl2m5Z5PBOIiIiIiIiIiIiIiIiIjvEQSIiIiIiIiIiIiq1999/Hy1btoS3tzeCg4MxYMAAnD171mSenJwcvPDCC6hUqRK8vLwwaNAg3Lx50xi/dOmS8dffM2bMQFRU1L1cBSIiIrvFQSIiIiIiIiIiIiq1P//8Ey+88AIOHDiAbdu2IT8/Hz179jR5zN9LL72EX375BevWrcOff/6J69ev47HHHrNhrYmIiAjgO4mIiIiIiIiIiEiDLVu2mPx72bJlCA4OxuHDh9GxY0ekpqbim2++wcqVK9G1a1cAwNKlS1GvXj0cOHAAbdq0sUW1iYiICLyTiIiIiIiIiIiIylBqaioAICAgAABw+PBh5Ofno3v37sZ56tati2rVqiEmJsYmdSQiIqI7eCcRERERERERERGVCb1ej8mTJ6N9+/Zo2LAhACA+Ph4uLi7w8/MzmTckJATx8fEAgMjISAghANx5JxERERHdGxwkKgPvv/8+NmzYgDNnzsDd3R3t2rXDhx9+iDp16hjnycnJwSuvvILVq1cjNzcXvXr1whdffIGQkBAAd17QWL16dQghMGPGDFy6dAnLli2zet0NL4W0Rq7h5K40tORWVNZsT2tuZxlb1Vlr2dast7X2i/K6TtaslxrZstWWq1Zva/ZPW7Fme1mr/9njZ0V55+joCEdHR4uxgoICxTzDBSQlFy9eVIzd/VLsu4WGhkrjeXl50rhMVlaWYszHx0ea6+vrK40nJiYqxtzc3KS5hl9vW+Lt7S3NdXKSfz1ITk5WjGVnZ0tzCwsLFWPp6enSXHd3d2m86Dsv7pafny/Nla2Tg4P8wQu3b9+WxmXCwsKkcdk6qfXb4OBgabxy5cqKsdjYWGmubFt4enpKczMyMqRxWf+THUMAeR9Sq5fadpZ9Fqnt67K42joZLpwrUTreAsCtW7ekudWrVy91vdTo9fpSxQDA2dlZMSbrtwDMBh/uJttftezLSvtqTk5Oqcus6F544QWcOHECe/futdoysrKyTI7fap8jgO3O4Svqcq11LUDtHF5L3Fa5xYnL2KqPWLPOWuK2uoallS2vY5VHFfW6nhbWvBZemuOX4bzr6tWrJt8DAwIC4OXlZTIvHzdXBviCRiIiIiIiIiKydxMmTMCvv/6KnTt3okqVKsbplStXRl5eHlJSUkzmv3nzpuoAoCUvv/wyqlatavyrX7++1qoTERHdlxo2bIiIiAjj32uvvWY2D+8kKgN8QSMRERERERER2SshBCZOnIiNGzdi165dZnerNW/eHM7OztixYwcGDRoE4M7dwFeuXEHbtm1LvLz58+dj6tSpxn+np6dzoIiIiMiCM2fOmNxJZOnuaw4SWUFJX9DIQSIiIiIiIiIiqqheeOEFrFy5Ej/99BO8vb2Nj0v09fWFu7s7fH19MXr0aLz88ssICAiAj48PJk6ciLZt25bqmoiXl5fJo3LS0tLKbF2IiIjuJ6GhoaqPSOYgURmz9gsaMzIySvzcXSIiIiIiIiIia1m0aBEAoHPnzibTly5diqioKADAxx9/DAcHBwwaNMjkXc1ERERkWxwkKmPWfkHja6+9hsWLF1ulbCIiovtNXFycyS9L/fz8zF7QSERERETaFOdl3W5ubvj888/x+eef34MaERERUXE52LoC95N78YLGefPm4erVq8a/U6dOlUXViYiI7kv169c3eamxpRc0EhERERERERHZK95JVAbu5Qsa+dxdIiKi4jt16pTqCxqJiIiIiIiIiOwVB4nKwL1+QWNZUrslXKfTlTpXjZayZblqtNZbxlb1UluurGwtudZkzf5VHsvVypb7o4zWemnpu9Zarpryuk/dj4rTB8LDw1Vf0Ehlx83NDW5ubhZjeXl5ink3btyQluvq6qoYu379eqlzAfn7HQsLC6W5sr515coVaW5WVpY0LhvQ1Ov10lwnJ+VTfFkMgNmd7yUh28ZaZWZmSuOOjo6KMbX2cnZ2Voy5uLjIK6ZBfn6+NC5rT7X2UKv3zZs3FWMZGRnS3Fu3binGZNsBAIKCgqRxWb5a301NTVWMBQYGSnOTkpKkcdmxQO1He7K4rO8B6u1V9EcQd/P09Cx1vfz9/aW5ascJWf9TOybL9gu146Za/5OdNzg4yB+y4u7urhhTag+1fZzuH2rnpOX1O2RFrbfs+5Tady0tuWrnhdb8DqmFtb7Pa+0/srharuyYbc16aWHN5Vqz/1TE44DW3PtxnYuDg0RlgC9oJCIiIiIiIiIiIiKiioaDRGWAL2gkIiIiIiIiIiIiIqKKRn5PNREREREREREREREREd2XOEhERERERERERERERERkhzhIREREREREREREREREZIc4SERERERERERERERERGSHOEhERERERERERERERERkh5xsXQEqG6mpqfDx8bEY0+l0pS5XCFHqXGuWbc16WWu5WraDWr5avbQsWy3XVtvCmv3aVvuMlrbW2r9kbFkvWdm2amu1fFseJ2x1XC2Px+S0tDT4+vrew9oQALi4uMDV1dViLDc3VzEvNTVVWq63t7dirGnTptLckydPSuNhYWGKMUdHR2nuzZs3FWNeXl7S3IKCAmncwUH5t1wpKSmlzs3Ly5PmqgkMDFSMybYxALi7uyvG1OpVWFgojattK5nMzMxS56rVKy4uTjHm4eEhzdXr9aXOTU5OlsZdXFxKtVxA3gfUPsfU+n1OTo5izNnZWZorO05cv35dmqtWdn5+vmJMdgwB5H1Tre/J9mUAyMrKUoypfTbL1jkxMVGa6+fnJ43LtmNQUJA0V7bPqH2uy5YLyPt2WlqaNFfW75U+92x1fmTvhBBWaXtrft+yFlvWubx+L5HF1T7/1D7zZfnl9RqElvZSq7NaXPYZp/b5J/tsVctVi8vYcp+y5nW98kjrcdxa+4U129IadS5JmbyTiIiIiIiIiIiIiIiIyA5xkIiIiIiIiIiIiIiIiMgOcZCIiIiIiIiIiIiIiIjIDnGQiIiIiIiIiIiIiIiIyA5xkIiIiIiIiIiIiIiIiMgOcZCIiIiIiIiIiIiIiIjIDjnZugJUNnx9fRVjQgirLFOn00njasuV5WupszXrpUZWttbtIMu3Vp3LM2vW25plW6vfa+3XWvqXlnXS0ne1qKj1UmOrY4E1l1tRj1H2KjU1Fbm5uRZjeXl5inkuLi7ScvPz8xVjV65ckebWqFFDGk9JSVGMOTjIf0/l7+9fqnIB+bkbAOTk5CjGnJzkp/A+Pj6KseTkZGlu1apVpfEbN24oxtzd3aW5MpmZmdK4p6enNO7l5aUYu3nzpjRX1v8yMjKkuWrHKNl2LCgokObKyPpeccqW7Y+urq7S3OzsbMVYVlaWNFe2ndQ4OztL43q9XjGmZV9Wy1frm+fPn1eMyfZVrWTHTUC+HRs1aiTNvXr1qjTu6OioGFPb193c3BRjWo6bAJCQkKAYi4yMlObKjm9Kx2S1/YHuH7b67qDGVtc+1OLWvDaiVrbss6KwsFCaqyUuWy6gbZ2suS20bCvZZ4FaXC1Xdi6sdp6sRm3ZMrJ9yprHCS3XbLSWbSu8TlD2eCcRERERERERERERERGRHeIgERERERERERERERERkR3iIBERERERERERkRWsWLECzz//PDp37ozIyEgsXbrU1lUiIiIiMsF3EhERERERERERWcELL7wAb29vBAcHo3bt2qhWrZqtq0RERERkgoNERERERERERERWkJqaCh8fH1tXg4iIiEgRHzdHRERERERERERERERkhzhIREREREREREREREREZIf4uLn7hLVuYdfpdIoxIYSmsmX5suWq5arVS0vZWthqudYuWwtr9i9bUdvOWnK1tIk1c7Wsc3ndzlrW2Zrb8X48ftny2EhlT6/XQ6/XW4wFBwcr5uXl5UnLdXJSPmV1d3eX5jo6OkrjmZmZijFvb29pbtWqVRVjt2/flubK1gkAcnNzFWNq7aW0DQB5nQEgKSlJGs/JyVGMybYxANy6dUsx5ubmJs2VtQcg345ZWVnS3IKCAsWYh4eHNFdtW8j6n6urqzQ3OztbMZaWlibNVSNbtlp7+fv7K8YcHOS/QSwsLJTGZcd8tX1G1ofUjgMZGRnSeOfOnRVjMTEx0tzQ0FDFWGpqqjQ3JSVFGpetc3p6ujRXduy8ePGiNDc5OVka9/PzU4wlJiZKc52dnRVjV65ckeaq9S/ZtlDLPX/+vGJMqf+oHbeIDMrrOby1vkNqXa61ypadPwHqx4n8/PxS58riarmy8xhAvl5q6yyj1r/UPntlx3tZDABcXFwUY2rrpFa2bL3U1knLdU5bsWW9yut3fWte7ymv6wzwTiIiIiIiIiIiIiIiIiK7xEEiIiIiIiIiIiIiIiIiO8RBIiIiIiIiIiIiIiIiIjvEQSIiIiIiIiIiIiIiIiI7xEEiIiIiIiIiIiIiIiIiO8RBIiIiIiIiIiIiIiIiIjvkZOsKUNnw9fVVjAkhSl2ultzySm2ddDrdParJvVuurGyt2/h+bC9rKq/7lJY+Ys110rKdbdXWWpartr7ltf+oqaj7K5VcUFAQ3N3dLcYKCgoU8/Ly8qTlpqenK8YqVaokzb127Zo0XlhYqBhzcXGR5l68eFExlpWVJc3Nzs6WxmX7e0BAgDRXtmwHB/lvxPLz86Xx8PBwxVh8fLw019XVVTEm2w7Ficv6kGy5gLw909LSpLlq7eXo6KgYU+sDsnqrLVctrtfrFWNqfSQ1NbVU5RYnHhQUpBiTHUMA+Tqr5ebm5krjmzZtUox5eXmVumyt/V7Wv9zc3KS5MhkZGdJ4jRo1pHHZfhMZGSnNlR1H1NpDre/K8lNSUqS5svb09va2OD0nJ0daJt17Ws5J78fvJVq+e2j5jmjL7zSyzyG1Y4yWzyG1c11ZXC1XyzmB2jrLtpVa/3Fykl9ylh1X1T7DlL5vFCdXrd6yzxK1XNnnshq1smVxa+ZqUV6vv6qx5meFtY5/SsstybrwTiIiIiIiIiIiIiIiIiI7xEEiIiIiIiIiIiIiIiIiO8RBIiIiIiIiIiIiIiIiIjvEQSIiIiIiIiIiIiIiIiI7xEEiIiIiIiIiIiIiIiIiO8RBIiIiIiIiIiIiIiIiIjvEQSIiIiIiIiIiIiIiIiI75GTrClDZSE1NhY+Pj8WYTqcrdblCCMWYlnLVypbF1Gitl61oWWc1sjZRay+1elmz3rZarrX2Ga1la1mulnwtfcSaxwm1smVxW/YfW+0zWuplzf5F95fExES4ubmVOC80NFQad3BQ/l3TmTNnpLl+fn7SeEBAgGLs5s2b0lwPDw/FmNo+5+rqKo0XFhYqxpKSkqS5/v7+irGCggJprhZq6+zl5aUYc3Z2luZev35dGpe1V25urjQ3Ly9PMabX66W57u7u0nhmZqZiTG1fSU9PV4yptZdaPCMjQzEm69cAkJ+frxhzctL29TIrK0sx5uvrK82VtZesXEDeNwH5PiXbxoD8M1AtV+3YKNuOav0+ODhYMZaSkiLNzc7OlsaVvpcCQHJysjS3atWqirHY2FhpbkhIiDQuW7bavpyWllbimNo2IOvQ6XSKn0cV8VqBNa+NaPmub6tctbja57bsfEHtHEl2vgDIj405OTnSXNnxQi1XS9lqxylZe6lxdHSUxmWfvd7e3tJc2eeM1msysrjsO0lx4lpoua6nJdce2eqaoDWuJ5Ykh3cSERERERERERERERER2SEOEhEREREREREREREREdkhDhIRERERERERERER0f+1d+dxVlR3/v/ft/d9BbppaBYBWQRMxA2dJI4SMS7RxJ+TqBkTx8QxwYW4RBNNYqIZTeI6QdEYI5OJxnk4iZrEPY6oUXABFRBBtqahoWlo6H3ve39/GPprS9fnNLdu9e3u+3o+Hj4S7qc/55w6dWq5dW5VAUhATBIBAAAAAAAAAAAkoKgmiW655Rb99re/PeDz3/72t/r5z3/uu1EAAAAAAACD1SuvvKKVK1ce8Pm7776r1157LQ4tAgAAiE5Uk0T333+/pk2bdsDnhx12mO677z7fjQIAAAAAABis3n77bY0YMeKAz0eOHNnn5BEAAMBgFdUkUXV1tUaPHn3A5yNHjtTOnTt9NwoAAAAAAGCwampqUm5u7gGfZ2VlqbGxMQ4tAgAAiE5KNEnl5eV67bXXNHHixF6fv/baayorK4tJwxA7kUgk3k0YVOiP3uLZH6FQKLCyreVy1esnN8hl8sPPMrvGiJ9l9jP+Buu2HGS7ghxfVtlDdZkw8DIzM5WRkdFnrKioyDPPdTGtrx8n7VdYWGjm9nUB7+P8/MCprq7OMzZ79mwzt7Ky0oy3trZ6xpKTk83c9PR0z9j27dvN3JEjR5rxqqoqz1heXp6ZW1tb6xmzlleSCgoKzHh3d7dnrKury8xNS0vzjDU1NZm5rn1YOByOuuzOzk7P2L59+8zc1NTUqNvl6i+rbKtcSX3edfFx1jhoaWkxc611kZWVZea6jnPWtm7t2yS7T1zbjIu1zK59465duzxjrn1MQ0ODGbfqtvYDrna5+svKlaSSkhLPmOs4dOyxxx7w2ahRo5SamnrA/v7ll19WcXGxDjvsMLNMBCMUCkV1funn+5JfQZXtt1w/3xGDynXFXcch6xjX3t5u5rqOQ1bcdZ5jxf3kSlJzc7NnzLVMVtmu84WUFPuSc35+vmfMdb5grWfXtuw6xllx1zK5yrb4udYU5HWqeOX6Fa/rRUFebwx6maKaJPrWt76lhQsXqrOzUyeeeKIk6cUXX9T3vvc9XXXVVTFtIAAAAAAAwGBy6qmn6r777lNTU5NmzpwpSVq9erV+//vf64wzzohz6wAAAPovqkmia665RrW1tfrOd76jjo4OSVJGRoauvfZaff/7349pAwEAAAAAAAaTc845Rw0NDXrggQd6flGflpamM888U1/60pecv9AHAAAYLKKaJAqFQvr5z3+uH/7wh/rggw+UmZmpKVOmmI+2AAAAAAAAGA5CoZC++c1v6vTTT1dVVZXS0tI0evRo5+MeAQAABpskP8nV1dXau3evJk2apPT09EH7fggAAAAAAIBYq6urU1NTk0pKSpSamsp1EQAAMOREdSdRbW2t/uVf/kUvvfSSQqGQNmzYoEMOOUQXXXSRCgsLdfvtt8e6nQAAAAAAAINCQ0ODbr75Zr333nuSpF/96lcqKSnR4sWLlZ2drXPOOSfOLQQAAOifqO4k+u53v6vU1FRVVlYqKyur5/OvfOUrevbZZ2PWOAAAAAAAgMHmvvvuU0pKihYvXtzr0fvHHXec3n333fg1DAAA4CBFdSfR888/r+eee05jx47t9fmUKVO0devWmDQMByc/P98zFtTt7txGP7BCoZBnzLUurLhVbn/K9tOuoOoNUpDj3s8y+V2PfsoOqt4g+R0/g3W/GtT26KdeV93xGpsIRkZGhjIzM/uMhcNhz7yRI0ea5XZ0dESd29bWZsaTk5M9Y6WlpVGXXVlZaeZ2d3ebcau/8vLyzNza2lrPWFlZmZnrYtWdkmJ/tUhK8v59WmFhoZlrjQFJ5jtAvMbkfvv27fOMufYzzc3NZry9vd0zZo09Saqvr/eMucZPRkaGGe/q6jLjltbWVs9YTk6Ombt7924zbrW7qanJbpjBtR/Izc0149b4tLY3SeZ7e13jy7UereVyHV+tsl37GGtsSlJNTY1nzDV2x4wZ4xn74IMPzFxrvynZ26tr//XOO+8c8Nny5ct10UUXqampSZFIRFVVVWpra1M4HFZNTY22bdtmlolgRCIRz/Efr++uQZYdJD/n8EEus7Wtu/YxnZ2dnjHr+Ca5j0NWvKWlxcy19ueuY5ir7IaGBs9YXV2dmWvFXe1y7VeLi4s9Y671aJ33Wcfd/sTT0tKibpc1NofrtZHB+p08XtdGBtu1zIOpL6o7iZqbm3vdQbTf3r17nRsbAAAAAADAUNbR0dHnxcSWlhbnxVEAAIDBJKpJos985jP63e9+1/PvUCikcDisX/ziF/rnf/7nmDUOAAAAAABgsJk4caJWrFjR67NwOKyXXnpJkyZNilOrAAAADl5UP2/5xS9+oZNOOklvv/22Ojo69L3vfU/vv/++9u7dq9deey3WbQSAwSkSkbZulfbtk7q6pIwMafx4yfGIDgAAAABD26mnnqoHHnhAVVVV6urq0lNPPaXq6mq1trZqwYIF8W4eAABAv0U1STRz5kx9+OGHWrRokXJzc9XU1KQvf/nLWrBggUaPHh3rNgLA4LF1q/TQQ9Lf/y6tXPnRBNHHhULSoYdKc+ZIZ54pnXWWZDzTFgAAAMDQU1paqquvvlrLly9Xenq6Ojo6NGvWLB1//PHKy8tzvq8DAABgsIj6Qbn5+fm6/vrrY9kWABi8Xn1V+uUvpaeeknJypBNPlK68UjriCKmkREpOllpbpfXrpRUrpOXLpa98RSotlb71rY/+tqAg3ksBAAAAIEYyMzM1b968eDcDAOIqtatLRS0tSunuVjgpSU1paWrNzY13swAchH5PEq1atarfhc6ePTuqxgDAoNPUJF17rXTvvdLs2dJ990nnnSdlZ/f993PnSt/4xkf/f80aafFi6Y47pN/+VnrgAekLXxiwpgMAAACInZ07dx7wWVJS3696LioqCro5ABAXSeGwjqis1Ke3b9fEvXs1pq5OyZFIr7/Zl5WliuJibSgp0euTJ6shMzNOrQXQH/2eJPrUpz6lUCikSCSiUCjU83nkHzuBj3/W3d0dwyYCQJysWvXRI+NqaqRf/Ur6znckjy+BfZo5U7rnHum66z66m+jUU6V//3dp0SIpJeobOQEAADyldXdrcm2tDtm3TwWtrUoJh9WVlKS6jAxtKSpSRX6+uuLdSGCIuvvuu/v9tzfddFOALQGAgZfR0aET16zRZ9etU1FzsyoLCrR5xAi9eOihqs7LU0dyspIjEeW3tmpiXZ0m7NmjM995R19euVJvT5igZw87TJUjRsR7MQD0od9XKbds2dLz/9955x1dffXVuuaaazR37lxJ0rJly3T77bfrF7/4RexbCaf6+nrl5eUddN7HJ/f6EvnELwGGAleb47XMrnrjVbbf5bXyB+v46le9b74pzZ8vHXKI9Le/SZMm9atsa5m/Jeme++/XX+6/X1+RBtUFmqDGUJBjIJ7j3g+r3YO1XS6DcVtuaGhQfn7+ALYGkpSTk6NMj18JWu9mqKioMMu1foDkeh9mRkaGGW9qavKMVVVVmbk5OTmesYaGBl/tsuJdXfYRpLi42DPm9Yv3/Xbv3m3GC4xHp7a2tpq5+z75Hr+PcfWHax9l5Vv1SlKK8cONjo4OM9f1zhGv7UH66PzdEg6HPWMtLS29/p0SDuv4mhqdsX27ZtbXKzkSUWcopL1paepISlJaOKyijg6lRiLqDoX0fn6+/jp2rF4dNUpdnxgTqampZrusMeT3PNzaHl3tSjPeAWltE5LU3t5uxq31bO0HJHsMdHZ2mrmuZU5PT4+qXkmqq6vzjLn2A42NjWY82+uOe0nNzc1mrnU8cO2/xowZY8Z37NjhGRs/fryZW11dLUm6+uqrez7buXOnnn76aV199dU64ogjJEkrV67UAw88oO9///s67rjjdMMNN5jlIvYikciAn5u66huK11WC5Le/rOOja79q7e9d5zGu/Zd17ucq2zrfcB2jPnlO8EnWPnvPnj1m7sePB4fv3q3LV61Sfnu7lo4Zoz9Nn64NH3+kXFfXR/9JUnKyUktLpdJS5Uydqs/v2KHTt23TDzdv1v9OmKD/njTJPJ91HcOs73mua6OuMWJ973DdFGGNXb/j3s91l8EqyHYH1V9+z3UH2sG0p9+TRB8/aTrnnHP0n//5nzr11FN7Pps9e7bKy8v1wx/+UGeddVa/GwAAg84HH0innCJNny49+6wUxQRsXx6QtEPSnyQ9JOlfY1IqAABIVKFIRF/cvl3nbdmioo4OvVdQoEVTp+qD7GxtyclR58cuqqeGw5rQ3KypDQ3659279YM1a7QvLU2PTJigJ8vLFRlkX2qBwaiwsLDn///hD3/QGWecofPPP7/ns+nTp2v06NG6/fbbddxxx8WjiQAQU0nhsL65dq3OqKjQe8XF+v7cuarJynJOmu3XlJqqx8eP15Pl5TqnokJf27RJx+7erXtOOknV/KgPGDSiet7R6tWrNXHixAM+nzhxotauXeu7UQAQN52d0vnnS6Wl0tNPx2yCaL+nJF0g6VFJf5P0XzEtHQAAJIrSlhZdvXatDq+r0zNlZfrjuHHa+o+7Wvr6pWtnUpI25OZqQ26unhk3TuOamnR2ZaUWfPihPlNTo9tnzNCOrKyBXgxgyKquru41abRfeXm5NmzYEIcWAUBsJYfDuvqddzS3ulr3HXaYnp4wIeoflYSTkvQ/hxyi5aNG6fr33tMNzz2nWz//eW3vYz8KYOAdxMs1/p/p06frlltu6XU7ZEdHh2655RZNnz49Zo0DgAF3660fvYvov/9bMh6p48f/6KPJobsklQVSAwAAGM4+vXev7n/jDY1qa9PVRxyhO2bM6Jkg6q/KnBzdOWOGrpozRyPa23XfG2/oiNragFoMDD+jRo3Syy+/fMB1kXvvvVeTJ0+OY8sAIAYiEV3+3ns6trpat8yZo6cmTozJXcdbc3J09VFHaV9Wlr73t79ppOMRpgAGRlR3Et13330644wzNHbsWM2ePVuStGrVKoVCIf3lL3+JaQMBYMBs2SLddJN03XXSnDmBVrVQ0jxJd0j6aqA1AQCA4eTwmhpd/+67eq+wUDfNmqVW451K/bGqsFD/fuyxun71at387ru6LTdX7zne9QVAOvPMM/W73/1Oxx57rKZNmyZJWrdunUKhkB588ME4tw4A/Dl+40adWFWl2z79ab1RWhrTshvS0vSLk07Sj559Vv/+2mv62cknK+J47xyAYEX1jeLoo4/W5s2b9fDDD2vdunWSpK985Ss677zzzJdUAsCgdt99Una29IMfBF5VnaT/kHS3PrqbyPs1ugAAAB8Z19Cg77/5pt4tLNSPDz9cXTG6oNKWnKyfzJ6tH61apStfe00/POkkVfL4F8BUXl6ua665Runp6dq4caMk6YwzztCZZ56prKws82XxADCYFTQ369w339SLY8fq5TFjAqmjMTNTDxx/vH7w3HOav26dnp0xI5B6APRP1D87y87O1sUXXxzLtgBA/LS1SQ8+KF14oTRAz+P/b0m3SvqWpJ8MSI0AAGCoSg6HdfnKlarJytJPZ8+O2QTRfl1JSbpp1iwtXrlS33nzTV3/+c+rm1/1Aqa0tDSdd9558W4GAMTUV998Ux3JyXog4ImbD0eN0vPTpun/e/ddLZ8wQXW8GxGIG3/PJviEnTt3qrOzU+PGjYtlsYijkPG80UgkEpd6/dbtJ9fVrqDqddXtKtvKHap97WeZ+/JFSU9KmnbnnVp/550HlRutRkmPSPpXfTRJFOtlOhhW3UHWG+Q25Wfc+6k7yG3KJV7tiue+EYPL1q1blZ6e3mfs0EMP9cyrr683y00xHqe1a9eu/jXOw0knneQZW79+vZm7e/duz1g4HDZzMzMzzXhnZ2fUuW1tbZ6xj787oy8FjvfxNTc3R1WvJBUVFUXdrizHRQPrF/sZGRlmbnt7u2csLS3NzO3rpfUf19ra6hlz7Ts/2a6vbtqkiQ0NuvLYY1VrlCtJ3d3dZtxrO22TdNthh+muZcv0hXfe0SNTphzwN1Z/up4q4Rojrv62JPmY0HK1u9Z4V5Mr1xpfrty6ujoz3tXV5Rlz9ceoUaM8Y9a4laQpfYyLj7P26Xl5eWZuS0uLZ8w1PhoaGsz4/kfC9cU6zkj2uvjtb3/b69+NjY0Kh8POfQ+CEYlEPM8v4/XdNkhBflezuPrDivvJlexzLNfxzzq/svbXknvfaMVdudb+3IpJ7nMoa7n62ucWt7ToyK1b9dCnP63q9nbJI9+1z/U619hv/zHwvydP1uc2bNDx77+v//nHe+5d5wvWenSdg/sZX0HmDtb9U7z2MX7F63p2kKJZFweTE9Ofhp144omaOHFiLIsEgAFxtKSdkuzLgbG3VNIkSd6XzQAAQKLL6ezUVzZt0p8mTNCH+fmB1rUpP1//O3Gi/mXzZuU6LjwBONDvfvc73X333fFuBgBE5aRNm9SenKxXJ0wYkPpaU1P1Snm5Pl9RoWTHBA+A4MR0kuh3v/ud/u///i+WRQLAgJgjaUUc6t1f5xFxqBsAAAwN86qqlByJ6E8DdMHm8QkTFIpE9Pnt2wekPmA4Oeuss3TBBRfEuxkAEJXPVFTo7+PHqy01dcDqfG7iRBW1tWmWcZc+gGDFdJLoqKOO0uc+97lYFgkAA+IwSe/Fod6Nklr+UT8AAMABIhGdVlmp10pKVOd4dEusNKSn69XRo3VaZaVCQ/SRHEC8jBkzRhMGaEIXAGIpr61NI1ta9L7xSNIgVOTnqzE1VVP27RvQegH8P7yJFAAkZUuy34gRjIg+ejeR/UR6AACQqMa0tGhsS4teHDNmQOv925gxGt3aqvKmpgGtFwAAxMch/5ik2Wy8RzIQoZA2FxToEMe7+AAEx347o4fCwsJ+v/ho79690VQBAAMq3q/ii3f9AABgcJpS/9HPWNYF/C6iT9r/7qPJDQ2qzM0d0LqBoeD666+X5H4B9vjx47WPX8cDGALG1terJSVFNdkD/zPWivx8Hb1z54DXC+AjUU0S/fCHP9TNN9+s+fPna+7cuZKkZcuW6bnnntMPf/hDFQ30jDMA+NQkaWAvvXwkJClXUnMc6gYAAIPf5IYG7czMVFNa2oDW25KaqqqsLE2pr9f/DfBdTMBQ8PnPf14vvPCCJk+erLFjx0qStm/fro0bN+qzn/2sUlNT9dRTT+mWW26Jc0sBoH8yurrUmpoq9fPGgFhqTk1VRlfXgNcL4CNRTRK99tpr+ulPf6pLL72057PLL79cixYt0t/+9jc98cQTsWofAAyI9yXNjkO9kyVl/aN+AACATyppbVVVHH7RK0lV2dka1doal7qBwW7Lli065ZRTNHv2//sWccwxx+jNN9/U5s2b9aUvfUlPPfWUzjvvvDi2EgD6L57vIYyEQkriPYhA3EQ1SfTcc8/p5z//+QGfn3LKKbruuut8NwoHLz/Kx0+4bo33w/VIQqvuINvlh6td/X0MYzS5Vt1+cuPJT3+5HPQyX3+99NBDiuzYYbYr1mNgzj/+d0U/cgfrerTEs83xqnuwric/7QpyW8XwMn78eGVmZvYZqzOeMZ6UZL8m08otKyszczs7O834xo0bPWO1tbVm7hjj7opt27aZuS0tLWY8JyfHjFusxxrl5eWZuaMcLyr+8MMPPWMpKVF9tZDkbpdLd3e3Z8zVLmv8tTomSNIcd/d0dHR4xrocv5bdv+9NC4fVmZTUa1+cmppq5obDYTNu+XjZnSkpyurq6vVZVlaWZ661vJKUkZFhxpubve+tdm0T1np2bW9e+639XNuFxeqT9vZ2M9fVX8nJyVHFJHv/5mqXq2xrPRYUFJi51vhymTBhghmvrKz0jO3evdvMHT169AGfffjhhzr77LNVXFzc6/OjjjpKL774Ik9YiZNwOOy5D/RzPhzkufRgPdeOV3+5cq246/hnnS+4cv3E/fSH6zzZdZ5jja9Plt3xj7t5kkIhKRQy63adi7jinzyHyg2H1Z6aqrS0NOcyWWW7jlGu/vSzPfoZm652Ddbv836uVQ5Wg/VYEVS9+9kj0ENxcbGefPLJAz5/8sknDzhBAoAh4aijpJ07pfXrB7Taz0naLIm3twEAgL50x/GXtcmRiLqH6Bd8IGjZ2dlatWrVAZ+vWrVK2XG6+w8A/KjKz1d2Z6eKHT+uCMK4ujpt9/mjIQDRi+rnfj/5yU/0zW9+U0uXLtUxxxwjSXrjjTf07LPP6oEHHohpAwFgQMyfLxUVSb/+9YBVmSPpfEl3DliNAABgqGlIS9MhDQ1xqbuorU1VPu5qA4az0047TQ8//LA+/PBDjR8/XpK0detWrV27Vueee26cWwcAB29zYaEk6ZC9e1U7kJPdkYgO2bdPz0+ePHB1Auglqkmib3zjG5o+fbr+8z//U3/6058kSdOnT9ff//73nkkjABhSMjOlf/s36cEHlSGpbQCq/JqkTEkDNy0FAACGmk15eTqxqkop4bC6HI8iiaXkcFgTGhr0ivFYRSCRzZ07V6WlpXrppZf03nvvSZJKS0v13e9+VxMmTHA+rhIABpu6rCztzczUtJoavVVePmD1ljU2Kq+9vWeSCsDAi/rB4cccc4wefvjhWLYFAOLr29+W7rpL10m6MeCq8iVdL+lxSVUB1wUAAIaujXl5So1ENL6xUZuifA9pNMY2NiotHNYmxztkgEQ2ceJEjRs3Lt7NAICYeX38eJ2webMePfzwAatz3qZNakhP1+rS0gGrE0BvUf8UbdOmTbrhhht03nnnqaamRpL0zDPP6P33349Z4wBgQB1yiHT99fqBpE8FXNUdknIlXRlwPQAAYGjbnJenluRkHfuP71wD5ZjqarUlJw/oxBQw1OzevVt//etftWTJEjU2NkqS3n//fe3cuTPOLQOA6Pxt8mTldHRobmXlgNSX3tWlz23ZopcmTlRncvKA1AngQFFNEr388suaNWuW3njjDf3xj39UU1OTJOm9997Tj3/845g2EAAG1A9+oPcl/bekoF6ZeLakf9NHE0TbA6oDAAAMDx3Jyfq/MWN0yrZtSg6HB6TOpHBY87du1ctjx6o9JeqHTwDD2ocffqibb75ZFRUVeu+999Te3i5Jqqqq0tNPPx3n1gFAdGpyc7WyrExfXrNGGd3dgdd3xrp1Su/q0t8mTQq8LgDeopokuu6663TzzTfrhRdeUFpaWs/nJ554opYvXx6zxgHAgEtL0/mSxkj6q6RYv6r5FEkPS/qDpN/GuGwAADA8PT1unIrb23V8dfWA1HdsdbVGtLXpmQkTBqQ+YCh68skn9cUvflGXXnqpkj/26/dDDz1UFRUV8WsYAPj030ccofy2Nn1r06ZA65mwb5/OWrtWT8yYod05sb76AuBgRPWzsNWrV+uRRx454PNRo0Zpz549vhuFg1dfX6+8vL7vewiFQlGXa+VGIpGoy/UrXu0Kqi/98rPMrnYlYtlrJZ0q6VlJ/yfpXyRV9DPXs95IRHrwQXV+61t6WtLXDyb3H/yMIT9lx3NbtwTZH37qpr9iW/dQ7OtE1tjYqM7OTs+YF9e6nD9/vmfs1VdfNXMLHO9TqTEe4eV1btUfKY67L1zbRVKS92+5WlpazNyJEyd6xlJTU83cSsejRax2d/v4takrt6Ojw4wXGi863rdvn5nb1tbmGXOtRz8yMjLMeFdXV8//r87I0NslJfrW+vVaM3as5LiQkux4XEtmZqZnLKuzUxetWaOVI0dqSx+PmgsbdzNlZ2eb9ba2tppxK//jP07sy8f765Nc6zE9Pd2MW+uqoaHBzLXGl2sfM2bMGDO+fv16z9jYsWPNXOt7e1ZWlplb6nhnRF1dnWfM6g9X3LUf8GPGjBlmfPv2A+//r6qq0le/+tUDPs/Nze152goGXiQS8TyvsM43rH2bX65jvhX38703yO/Mrlwr7ie3P3GLdX5lxST/xxKLNf78js3c3FzPmNc5ZVt+vp489lj9y2uv6YMJE/TO6NEH/I3rWOHqj7KcHF32wgvaWVSkl48/XkUfO3exzusk+3zBdX7lWo+uc6houcataz1b27OrzX72ExgavNbjwazfqO4kKigo6PMZu++8847zRBYAhoLlkk6QNErSakmXSIr60FlVJZ1+uvStb2mJpP9PUt+XUAFgaHjxxRc1b948TZo0Sbm5ucrnnSVA4O7/9KeV0dWlf1u9OtB6Lnz/fWV1deneAXxhNTAUZWZm9jlJuH37ducPFABgsFs6c6beHj1aVy1frhm7d8e07IyuLl3yzDMqbGrSkpNOUjfvIgLiLqpJoq9+9au69tprVV1drVAopHA4rNdee01XX321Lrjggli3EQDi4l1JMyX9XtJiSW9L0oMPSo5fcPf44APp8sul6dOld96R/vIXXSzJ+3euADA0VFZWauPGjRo3bpwuuOACLV68ON5NAoa92sxMPTRrlk6srNQpAb1M+vPbtunkyko9NGOGdjt+IQwkusMPP1xPP/20GhoaFAqFFIlEtHnzZj3xxBM66qij4t08APAlEgrpzmOP1friYl3/6qs6btu2mJQ7oqVFP371VZXv3q17TztNO4uLY1IuAH+ien7Cf/zHf2jBggUqLy9Xd3e3ZsyYoe7ubp133nm64YYbYt1GAIibJknf1kfvEPqeJH3rW9LVV0snnijNmfPRfyUlUkqK1NoqrVsnrVghLV8uvfGGNHKkdOml0jXXSI5bpgFgqLjwwgt14YUX9vy7oaFB3/72t+PYIiAx/N/48ZpYX69L339fkVBIz5WXx6zsedu36/I1a/T0hAl6fvz4mJULDFdf+MIX9Pjjj+uHP/yhIpGIfvaznykcDuvII4/UKaecovb29ng3EQB86UhO1q3HH68Fb72l777xho6pqtKDn/60GqJ5tF4konkVFfr66tVqTUnR3V/8oipHjYp9owFEJapJorS0ND3wwAP60Y9+pNWrV6upqUmf/vSnNWXKlFi3DwAGhVf+8V9k40bpt7+VXntN+vnPpb6eQz958keTR5dfLp19tuTj2cQAAAA9QiH9dvZsRbq6dMWaNRrf2Kj/mjpV7T4e05LW3a0LPvxQX66o0NPl5fr1rFkSz6cHnFJSUnTOOefo9NNP144dO9Te3q6xY8dqFBc9AQwjncnJuuuYY/TmmDG66J13dNdzz+lvEyfqL2VlqunHXcep3d2aW1WlL2zapEP37dOL48dryezZymVfCQwqvt7EWl5ervIY/noNAAa9Qw6Rbr75o/8fDktbtkj79kmdnVJGhjRxosQzyAEAQEAioZDunTFDVVlZ+saHH+qo3bu1aOZMvVdUdHCTO5GIZu7dq8vff1+jWlv1m6lT9aeJE5XKBBFwUAoLC50vWQeAIS0U0uvl5Xp/5Eh9ad06nbx5s85cv16ri4u1vqBAG/PzVZWTo/akJCVHIipsb9e05mYdUlenw3ftUn5Hh94bNUo/+ad/0qp/TA7lxnmRAPTma5Lok5588knV19fzXiIAiSEpSZo0Kd6tAAAAiSYU0pMTJ+rtUaP03VWrdMubb2pTbq7+On68Xi0tVauRmtXVpc9v26bTKis1paFBHxQU6KdHHKHtOTkD1nxgOFu1apVaW1s1e/bseDcFAGKqPiNDSz71Kf1h5kwdvWmTjtm1Sydt365/2bTpgL9tT07Wlvx8vTR+vF6cMEE7cpkWAgazmE4SXXvttdqwYQOTRMNIJBLxjIUcvzK0cocqP8vk6q8gxbPuoAzW8RWvvh6s/eHip79cyxzkughqX+B3PQZVtt/9PceSxJGRkaHMzMw+Y8nG47AaGxvNct9++23PWGlpqZlbVVVlxseNG+cZq6ysNHP37dvnGUtNTTVz29razHh2dnbUuV1dXZ4xV193dnaa8aSkpKhzC4w7bTs6OszcLMfjTKx3f+Q6Lkp0d3d7xlz7qKamJjNu1d3Q1yNrPybHmLTZ3x+tRUW6ZexYzdq5U/M+/FCXrVmjK9as0fbsbG3Kz9eurCx1hUJKiUQ0qqVFk+vrNba5WWFJ74werVsOP1zvlZYqEgr1/KLXGnuSvS2Hw2Ez12v/0B9WvdJHj/7ykpGRYea63h1jbTdFRUVR51ptltzjy1quPXv2mLnWE0Fc/bF582Yzbm2vrn2jtc2NGTPGzN27d68ZHzlypGfMtb+39hN5eXm9/v3nP/9ZNTU1OvLII80yEYxIJOJ5/mjto1z7ryDPpa34YP0u76c/XH3tYvVJkMcK1/HRale64xH0fsamq2yrXdZ5nWQftzeMHasN//j/uc3NGtHQoNTubnUnJak5PV11JSUK/6P8NEkTPpE/YsQIz7Kt/bUk5efnR9Vmyd1f1hhy9ZfFz3dmVzye10b88HOdIEh+rqsM5WuCMZ0kWrduXSyLAwAAAAAYIqGQVpWVaVVZmYqbmzV91y6N2blTk+rrNbWuTqnd3epMTta+9HS9M3KkHps8WRvHjtUex8UuANH56U9/KklqbbXu6QOA4aMxO1uNnzivSPMxoQJg4MV0kgjSrbfequ9///u64oordNddd0n66NeeV111lR599FG1t7dr/vz5uvfee1VSUiJJqqio0MSJExWJRHTjjTeqoqJCS5Ysid9CAAAAABhyarOz9fdDDlF9cbH5d647swAAAAAkjqimdZ999ln9/e9/7/n3Pffco0996lM677zzzMduDHdvvfWW7r///gOePfzd735Xf/nLX/TYY4/p5Zdf1o4dO/TlL385Tq0EAAAAAAB+fPjhh6qoqOj590svvaSbbrpJv/nNb9Tc3By/hgEAABykqCaJrrnmmp5naK9evVpXXXWVTj31VG3ZskVXXnllTBs4VDQ1Nen888/XAw88oMLCwp7P6+vr9eCDD+qOO+7QiSeeqDlz5uihhx7S66+/ruXLl8exxQAAAAAAIBrPPPNMz/ubqqqq9L//+7+aOXOm9uzZo8ceeyzOrQMAAOi/qCaJtmzZohkzZkiS/vjHP+r000/Xf/zHf+iee+7RM888E9MGDhULFizQaaedpnnz5vX6fMWKFers7Oz1+bRp0zRu3DgtW7ZsoJsJAAAAAAB82rdvn0aNGiVJWrlypWbPnq0vfelLOu+88/T+++/HuXUAAAD9F9U7idLS0tTS0iJJ+tvf/qYLLrhAklRUVNRzh1EiefTRR7Vy5Uq99dZbB8Sqq6uVlpamgoKCXp+XlJSourpakjRhwgRFIhFJ0o033hh0cwEAAAAAgA/Jycnq6OiQJH3wwQc69thjJX30zq/W1tZ4Ng0AAOCgRHUn0T/90z/pyiuv1E033aQ333xTp512mqSPnsk7duzYmDZwsNu2bZuuuOIKPfzww8rIyAi8vqamJlVWVvb8t23btsDrBABgqKqqqtL27dt7/mtqaop3kwAAwDAwfvx4Pf3003rqqadUUVGhWbNmSZJqamp6PYI+Ud16660KhUJauHBhz2dtbW1asGCBiouLlZOTo7PPPlu7du3qiVdUVCgUCkn66Ae03/jGNwa41QAAJKao7iRatGiRvvOd7+h///d/tXjxYo0ZM0bSR8/kPeWUU2LawMFuxYoVqqmp0RFHHNHzWXd3t1555RUtWrRIzz33nDo6OlRXV9frbqJdu3aptLT0oOu75pprdN999x1Uzv67lPqy/wQsmlwr5pefdsWzbD9c9Vrt9tNmv8vrp11B5caTn3b7GZt++yOosl39EeT2NhT7K8hxPVj390Hv+/Y/Hne/Sy65RIsXL+5f43DQqqqqlJ6e3mcsPz/fM2//uaSX2tpaz9j+O7O95OXlmfHOzs6oYpLMi4Cu3NTUVDPe1tbmGUtJsU/hrf4qLi721a7979/oy8iRI83cyspKz1hJSYmZ63paQWNjoxm3WGPE9fL5zMxMM26tR9cPzPbfoXCwMcm9Lqy6rXUsfXT3RLS51n5Asperu7vbzLXGrmt8uMa91V+uY9EhhxziGdu7d6+Z6xp/1r7AWk+Se11ZysrKzHhNTY1nzLUerTFSVVVl5rqOJfX19Z6x3NxcM7evdfHlL39Zjz/+uN566y2dddZZCoVCqqur04oVKzR58mSzvuHurbfe0v3336/Zs2f3+vy73/2unnrqKT322GPKz8/XpZdeqi9/+ct67bXXBqRd1vYaDofNXFfc4joPD+o7QDyv2QQpKcn79+6ucySv81TJvX9ysY4lXV1dZq41vlxjz3VOYC1zVlaWmWud67ra5Tq2WudfRUVFZq51rHAtU1pamhm32u06tg7W61RDUZDXBIO89hava8qxENUk0bhx4/TXv/71gM/vvPNO3w0aak466SStXr2612cXXnihpk2bpmuvvVbl5eVKTU3Viy++qLPPPluStH79elVWVmru3LkHXd8vf/lLXX/99T3/bmxsPOACGAAA+MjatWt7Xfj55ONfAQAAolFYWKh/+7d/O+BC6RlnnCHJniQezpqamnT++efrgQce0M0339zzeX19vR588EE98sgjOvHEEyVJDz30kKZPn67ly5f3PK4PAAAMvKgmiaSPZtifeOIJffDBB5Kkww47TF/84heds6rDTW5urmbOnNnrs+zsbBUXF/d8ftFFF+nKK69UUVGR8vLydNlll2nu3LlRnQTl5OQoJyen59+J+A4oAAD6a8yYMc47SQAAAKIRDoe1evXqnrunSkpKNGPGDPNOh+FuwYIFOu200zRv3rxek0QrVqxQZ2en5s2b1/PZtGnTNG7cOC1btoxJIgAA4iiqSaKNGzfq1FNPVVVVlaZOnSpJuuWWW1ReXq6nnnpKkyZNimkjh7o777xTSUlJOvvss9Xe3q758+fr3nvvjXezAAAAAABAFPbs2aMHH3xQ9fX1PY94fOmll1RQUKALL7xQ2dnZcW7hwHv00Ue1cuVKvfXWWwfEqqurlZaWdsBd3SUlJT2Pjp0wYULPo3puvPFGs66WlpZej2z089hRAACGs23btvV6wkpRUVGvm1CkKCeJLr/8ck2aNEnLly/veU5kbW2tvva1r+nyyy/XU0895aPZQ9/SpUt7/TsjI0P33HOP7rnnnvg0CAAAAAAAxMyTTz6p4uJiLViwoOcdGM3NzXr00Uf15z//Weeee26cWziwtm3bpiuuuEIvvPCC851rsXDllVfq/vvvD7weAACGuk8+Ba2vdzVHNUn08ssv95ogkj56Ce6tt96q448/PpoiAQAAAAAAhoRNmzbpsssu6/WS9OzsbH3hC1844MJLIlixYoVqamp0xBFH9HzW3d2tV155RYsWLdJzzz2njo4O1dXV9bqbaNeuXSotLT3o+m677TbdcMMNPf/mfc0AAPRt3bp1znc1RzVJlJ6e3uetvE1NTUpLS4umSAAAAAAAgCEhJSVF7e3tB3ze0dGRcO9qlqSTTjpJq1ev7vXZhRdeqGnTpunaa69VeXm5UlNT9eKLL+rss8+WJK1fv16VlZWaO3fuQdfH+5oBAOif0aNHO9/VHNUk0emnn66LL75YDz74oI4++mhJ0htvvKFLLrlEX/ziF6MpEgEKhUKesf3P+40m18VVdlC5ftocJD/L5Mp3LXOQ/Rmv9eyHn3Hvtz/8rEc/But6itfYDXLf5xKvbTlIQ7XdiL1QKOQ5HqZMmeKZt379erNc6wXgo0aNMnNdF42am5s9Y+PGjTNz6+rqPGMjRowwc+vr6814U1OTZ+zjd/P3JSXF+xTfarP00a++LV1dXZ6xkpISM/fjv7b/JNd+IjU11YyXlZV5xlxjoK2tzTPW2tpq5lp9LdnL3NHRYeZaF5ldP8xzvQvFGveux0Slp6ebcYtrfFnL7LroHg6HPWOZmZlmrms9WuPA2j9J9np2fVl3lW3l73/HixdrDEycONHM3bBhgxm32m3VK9ljxO/+vrOzM+p29TXuDzvsMP3xj3/UGWecobFjx0qStm/frieffFJTp07tcwJpOMvNzT3gcTbZ2dk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       "text/plain": [
        "<Figure size 2000x600 with 3 Axes>"
       ]
@@ -1550,7 +1568,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.10.14"
   },
   "source_map": [
    38,
diff --git a/_sources/content/use_case_notebooks/hr_diagram_exercise.ipynb b/_sources/content/use_case_notebooks/hr_diagram_exercise.ipynb
index b876e31..828e66f 100644
--- a/_sources/content/use_case_notebooks/hr_diagram_exercise.ipynb
+++ b/_sources/content/use_case_notebooks/hr_diagram_exercise.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "8785ac08",
+   "id": "d41825b5",
    "metadata": {},
    "source": [
     "# HR (Hertzsprung-Russell) Diagram Exercise\n",
@@ -15,7 +15,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "d0c41c56",
+   "id": "d22c20c8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7815076e",
+   "id": "8f507307",
    "metadata": {},
    "source": [
     "## Step 1: Find appropriate catalogs\n",
@@ -53,7 +53,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e2667045",
+   "id": "1ecdae58",
    "metadata": {},
    "source": [
     "### DATA DISCOVERY STEPS\n",
@@ -64,7 +64,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "72ac41f1",
+   "id": "3b1f34e5",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -83,7 +83,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "05881ea2",
+   "id": "70af7c9f",
    "metadata": {},
    "source": [
     "Note: The includeaux=True includes auxiliary services.\n",
@@ -93,7 +93,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "846fce52",
+   "id": "a2b09e8c",
    "metadata": {},
    "source": [
     "#### Next, we need to find which of these has the columns of interest, i.e. magnitudes in two bands to create the color-magnitude diagram\n",
@@ -104,7 +104,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "a6f3a83c",
+   "id": "348871d4",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -117,7 +117,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2e59ec4e",
+   "id": "4b7180bf",
    "metadata": {},
    "source": [
     "Note: the '%' serves as a wild card when searching by UCD\n",
@@ -127,7 +127,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b8e62398",
+   "id": "95b42912",
    "metadata": {},
    "source": [
     "So using this we can reduce the matched tables to ones that are a bit more catered to our experiment. Note, that there is redundancy in some resources since these are available via multiple services and/or publishers. Therefore a bit more cleaning can be done to provide only the unique matches."
@@ -136,7 +136,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "60597d1d",
+   "id": "e657465c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -146,7 +146,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "ec02f864",
+   "id": "a89c1d2c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -156,7 +156,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "db9e2e58",
+   "id": "30753d2c",
    "metadata": {},
    "source": [
     "We can read more information about the results we found.  For each resource element (i.e. row in the table above), there are useful attributes, which are [described here]( https://pyvo.readthedocs.io/en/latest/api/pyvo.registry.regtap.RegistryResource.html#pyvo.registry.regtap.RegistryResource)"
@@ -165,7 +165,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "d604133d",
+   "id": "2d94eeb4",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -178,7 +178,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fdbc0279",
+   "id": "16935d00",
    "metadata": {},
    "source": [
     "<i> RESULT: Based on these, the second one (by Eichhorn et al) looks like a good start. </i>\n",
@@ -192,7 +192,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fb35256c",
+   "id": "b0f8e930",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -219,7 +219,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "741c2ede",
+   "id": "6324304b",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -228,7 +228,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "226e27d3",
+   "id": "11f85bac",
    "metadata": {},
    "source": [
     "First, Try using bibcode:"
@@ -237,7 +237,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "a7b9f347",
+   "id": "bded3a2e",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -255,7 +255,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "55d431b0",
+   "id": "f2149472",
    "metadata": {},
    "source": [
     "Note that the URL is a generic TAP url for Vizier.  All of its tables can be accessed by that same TAP services.  It'll be in the ADQL query itself that you specify the table name.  We'll see this below."
@@ -263,7 +263,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1894337d",
+   "id": "fdee8f4d",
    "metadata": {},
    "source": [
     "Next, try using Author name:"
@@ -272,7 +272,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "2ef91f93",
+   "id": "c2c6c578",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -288,7 +288,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d3d8688e",
+   "id": "bda45728",
    "metadata": {},
    "source": [
     "These examples provide a few ways to access the information of interest.\n",
@@ -303,7 +303,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "54aded87",
+   "id": "9495528e",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -316,7 +316,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "912ccc64",
+   "id": "a3752587",
    "metadata": {},
    "source": [
     "## Step 2: Acquire the relevant data and make a plot\n",
@@ -327,7 +327,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "3c3e7d65",
+   "id": "2b68c7cd",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -337,7 +337,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "d6abc5e7",
+   "id": "fad0b924",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -347,7 +347,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c5831c2a",
+   "id": "90ede388",
    "metadata": {},
    "source": [
     "We can access the column data as array using the .getcolumn(colname) attribute, where the colname is given in the table above. In particular the \"CI\" is the color index and \"Ptm\" is the photovisual magnitude. See [here](https://vizier.u-strasbg.fr/viz-bin/VizieR?-source=I/90) for details about the columns."
@@ -356,7 +356,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "c8ebde94",
+   "id": "c3dfb615",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -366,7 +366,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5be99a43",
+   "id": "85d5da81",
    "metadata": {},
    "source": [
     "### Plotting\n",
@@ -377,7 +377,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "db8b9476",
+   "id": "c4f05288",
    "metadata": {},
    "outputs": [
     {
@@ -392,7 +392,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -411,7 +411,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "76fa74bf",
+   "id": "3edb61de",
    "metadata": {},
    "source": [
     "## Step 3. Compare with other color-magnitude diagrams for Pleiades\n",
@@ -426,7 +426,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "2377804d",
+   "id": "36d770c8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -439,7 +439,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "31975ee8",
+   "id": "c22fabe3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -450,7 +450,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "9ff93fd9",
+   "id": "71922729",
    "metadata": {},
    "outputs": [
     {
@@ -465,7 +465,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -487,7 +487,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a5e5600d",
+   "id": "800d94f5",
    "metadata": {},
    "source": [
     "## BONUS: Step 4: The CMD as a distance indicator\n",
@@ -498,7 +498,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "fcb85567",
+   "id": "44a5f3bc",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -516,7 +516,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "941c94af",
+   "id": "4947c264",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -530,7 +530,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d52b013e",
+   "id": "393ff037",
    "metadata": {},
    "source": [
     "True distance to Pleaides is 136.2 pc  (<https://en.wikipedia.org/wiki/Pleiades> ). Not bad!"
@@ -563,7 +563,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.10.14"
   },
   "nav_menu": {},
   "source_map": [
diff --git a/_sources/content/use_case_notebooks/hr_diagram_solution.ipynb b/_sources/content/use_case_notebooks/hr_diagram_solution.ipynb
index c937cd2..8d1c6fc 100644
--- a/_sources/content/use_case_notebooks/hr_diagram_solution.ipynb
+++ b/_sources/content/use_case_notebooks/hr_diagram_solution.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "3c59dcbc",
+   "id": "2c73f1ee",
    "metadata": {},
    "source": [
     "# HR (Hertzsprung-Russell) Diagram Solution\n",
@@ -15,7 +15,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "2cbfa41e",
+   "id": "25cc33bd",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e41336c6",
+   "id": "5a4a0bd5",
    "metadata": {},
    "source": [
     "## Step 1: Find appropriate catalogs\n",
@@ -53,7 +53,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4304d771",
+   "id": "6c9e8072",
    "metadata": {},
    "source": [
     "### DATA DISCOVERY STEPS\n",
@@ -64,7 +64,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "5893902a",
+   "id": "0d7f784a",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -75,41 +75,40 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "137\n"
+      "142\n"
      ]
     },
     {
      "data": {
       "text/html": [
-       "<div><i>Table length=137</i>\n",
-       "<table id=\"table139800929859328\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<div><i>Table length=142</i>\n",
+       "<table id=\"table140573085590592\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>index</th><th>short_name</th><th>title</th><th>description</th><th>interfaces</th></tr></thead>\n",
        "<thead><tr><th>int64</th><th>str16</th><th>str55</th><th>str4800</th><th>str7</th></tr></thead>\n",
        "<tr><td>0</td><td>I/163</td><td>US Naval Observatory Pleiades Catalog</td><td>This catalog is a special subset of the Eichhorn et al. (1970) Pleiades catalog (see &lt;I/90&gt;) updated to B1950.0 positions and with proper motions added. It was prepared for the purpose of predicting occultations of Pleiades stars by the Moon, but is useful for general applications because it contains many faint stars not present in the current series of large astrometric catalogs.</td><td>tap#aux</td></tr>\n",
        "<tr><td>1</td><td>I/258</td><td>Pleiades positions and proper motions</td><td>Based on a preliminary reference catalogue, combined with the catalogues PPM, ACRS and those in Eichhorn et al (1970, Cat. &lt;I/90&gt;), Jones (1973A&amp;AS....9..313J) and Hertzsprung (1947AnLei..19a...1H), 33 exposures on 11 plates taken with the Zo-Se 40cm refractor (f=6895mm) in 86 years are reduced with the central overlapping technique, and high-precision positions and proper motions of 441 stars in the Pleiades astrometric standard region are obtained. The standard errors of star positions are less than +/-0.05arcsec, and the standard errors of proper motions for 90% stars in our reduction are less than +/-0.001arcsec/yr.</td><td>tap#aux</td></tr>\n",
        "<tr><td>2</td><td>I/90</td><td>Positions of 502 Stars in Pleiades Region</td><td>The catalog contains the positions (equinox B1900.0 and epoch B1955.0) of 502 stars in a region of about 1.5 degrees square in the Pleiades cluster, centered on Eta Tau. These coordinates have been derived from measurements of stellar images obtained with 65 exposures of various durations on 14 photographic plates with two telescopes at McCormick Observatory and Van Vleck Observatory. The plates were reduced by the plate overlap method, which resulted in a high degree of systematic accuracy in the final positions. Data in the machine version include Hertzsprung number, color index, photovisual magnitude, right ascension and declination and their standard errors, proper motion, and differences between the present position and previous works. Data for exposures, plates, and images measured, present in the published catalog, are not included in the machine version.</td><td>tap#aux</td></tr>\n",
        "<tr><td>3</td><td>II/131</td><td>Tonantzintla Pleiades Flare Stars</td><td>The original catalog lists the flare stars discovered by different astronomical observatories over an area slightly larger than 20 square degrees in the Pleiades regions centered on Alcyone. Not all the flare stars are members of this cluster, membership indicators are provided in the catalog. The catalog, combining Tables 1 and 2 of the publication, gives the data for 1531 flares of 519 flare stars.</td><td>tap#aux</td></tr>\n",
-       "<tr><td>4</td><td>II/44</td><td>K-Line photometry of stars in Population I clusters</td><td>Photoelectric photometry of the K-line of calcium has been performed for the A stars of five open clusters (Hyades, Pleiades, IC 2391, IC 2602, and NGC 6475) and one association (Orion). All observations were carried out simultaneously with the field stars measurements in Paper II (II/43), with the 16-inch (40cm) and 36-inch (91cm) telescopes of the Cerro Tololo Inter-American Observatory, between May 1969 and January 1970.</td><td>tap#aux</td></tr>\n",
-       "<tr><td>5</td><td>J/A+A/299/696</td><td>Pleiades field Membership probabilities</td><td>A catalogue of proper motions and photographic B,V magnitudes for stars up to B=19 mag within a region centered near Alcyone is presented. The catalogue is based on MAMA measurements of 8 plates taken with the Tautenburg Schmidt telescope. The survey includes ca. 14500 stars and covers a total field of about 9 square degrees. Membership probabilities, proper motions and B,V magnitudes are listed for 442 stars up to B=19 mag in the Pleiades field.</td><td>tap#aux</td></tr>\n",
-       "<tr><td>6</td><td>J/A+A/320/74</td><td>Radial velocities of Pleiades members</td><td>The analysis of CORAVEL radial velocities of 93 stars selected on the basis of their proper motion and Geneva CCD photometric observations for 57 stars have permitted to identify 25 new members in the outer part of the Pleiades. Several spectroscopic binaries have been discovered, but their membership is not clear. Two orbits with short periods have been determined, but both stars are probably non-members. The total number of member stars in the outer part of the Pleiades in the spectral range F5-K0 (0.45&lt;B-V&lt;0.90) is now 81 which is comparable to the number of stars known in Hertzsprung&apos;s central area (88 stars) in the same spectral domain. Therefore at least 48% of the F5-K0 main-sequence stars are located in the outer part of the cluster. And the census is probably still incomplete.</td><td>tap#aux</td></tr>\n",
-       "<tr><td>7</td><td>J/A+A/323/139</td><td>K magnitude of Pleiades low-mass binaries</td><td>This table provides the list of stars observed but not resolved during the diffraction-limited survey of G and K Pleiades dwarfs. Previously known binaries, either photometric or spectroscopic, are referenced.</td><td>tap#aux</td></tr>\n",
-       "<tr><td>8</td><td>J/A+A/325/647</td><td>High-resolution spectra south of Taurus</td><td>Listed are results from our high-resolution data for all stars in our study area which were listed by either Magazzu et al. (1997A&amp;AS..124..449M) or Alcala et al. (1996A&amp;AS..119....7A), i.e. T Tauri candidates from the ROSAT All-Sky Survey. In table 1, we list all stars for which lithium was found either by Magazzu et al. (1997A&amp;AS..124..449M) or in our CASPEC spectra, as well as two stars identified as wTTS by Alcala et al. (1996A&amp;AS..119....7A). Listed are the designation, number of single-order echelle spectra taken, effective temperatures, projected rotational velocities, mean heliocentric radial velocities with errors, radial velocities in the local standard of rest, and remarks on variability in radial velocity as found in our high-resolution spectra. For comparison, we also list the results on spectral types of the stars (with `e&apos; for H{alpha} emission) as found by Magazzu et al. (1997A&amp;AS..124..449M) (or Alcala et al., 1996A&amp;AS..119....7A) with low- and medium-resolution spectroscopy. In the last two columns, we list the (NLTE) lithium abundance (given on a scale where logN(H)=12) and the lithium excess above the relevant Pleiades upper envelope; upper limits indicate stars where the Magazzu et al. (1997A&amp;AS..124..449M) spectra suffer from either low S/N or low resolution. In table 2, we list all stars where no lithium was detected -- neither by Magazzu et al. (1997A&amp;AS..124..449M) nor in our CASPEC spectra.</td><td>tap#aux</td></tr>\n",
-       "<tr><td>9</td><td>J/A+A/329/101</td><td>Masses of Pleiades members</td><td>On the basis of the best available member list and duplicity information, we have studied the radial distribution of 270 stars and multiple systems earlier than K0 in the Pleiades. Five new long period spectroscopic binaries have been identified from the CORAVEL observations. We have found a clear mass segregation between binaries and single stars, which is explained by the greater average mass of the multiple systems. The mass function of the single stars and primaries appears to be significantly different. While the central part of the cluster is spherical, the outer part is clearly elliptical, with an ellipticity of 0.17. The various parameters describing the Pleiades are (for a distance of 125pc): core radius r_c_=0.6 deg (1.4pc), tidal radius r_t_=7.4 (16pc), half mass radius r_m/2_=0.88 (1.9pc), harmonic radius r=1.82 (4pc). Low-mass stars (later than K0) probably extend further out and new proper motion and radial velocity surveys over a larger area and to fainter magnitudes would be very important to improve the description of the cluster structure and complete mass function.</td><td>tap#aux</td></tr>\n",
+       "<tr><td>4</td><td>II/43</td><td>K-line photometry of Southern A stars</td><td>The photoelectric measurements of the strength of the Calcium K-line has been extended by 223 stars of predominantly southern or equatorial declinations which are well distributed in right ascension. This has expanded the existent list to 369 field stars for which a k-index is available, including many more Am stars. All available k-index data for field stars are presented here. Introduction: The present work represents a continuation of that described previously (Henry 1968ApJ...152L..87H, 1969ApJS...18...47H = II/42, [hereinafter referenced as Paper I]), in which the K-line of calcium at 3933{AA} is measured photoelectrically in A-type stars with a narrow-band spectrometer. The result for each star is a K-line strength index, called k, the value of which appears to depend predominantly only on the temperature of the star and the abundance of calcium in its atmosphere. The temperature dependence is well known; the abundance dependence appears as a correlation between the residual dK in K (after allowance for the temperature effect) and the difference from normal of the general metallicity index [m1] of Stromgren. Alternatively, it was shown in Paper I that the calcium abundance is probably the effective factor in producing the scatter in the relation between k and b-y by a process of elimination of other parameters (luminosity, etc.) that were found not to affect appreciably the value of k. The value of k is, however, affected by a third parameter, namely, whether the star is an Am star or not. Many of the stars of Paper I were reobserved in order to tie in the new measurements with the old ones. An emphasis was laid on observing more Am stars, and on observing some stars that are of somewhat earlier spectral types than the earliest ones observed previously. Simultaneously with the field-star measurements described here, extensive data were acquired for the A stars in five open clusters (Hyades, Pleiades, IC 2391, IC 2602, and NGC 6475) and one association (Orion), as described in Paper III (Hesser &amp; Henry 1971ApJS...23..453H). The observations were made with the same instrument that was used to obtain the data for Paper I, and a description of the instrument may be found in that paper.</td><td>tap#aux</td></tr>\n",
+       "<tr><td>5</td><td>II/44</td><td>K-Line photometry of stars in Population I clusters</td><td>Photoelectric photometry of the K-line of calcium has been performed for the A stars of five open clusters (Hyades, Pleiades, IC 2391, IC 2602, and NGC 6475) and one association (Orion). All observations were carried out simultaneously with the field stars measurements in Paper II (II/43), with the 16-inch (40cm) and 36-inch (91cm) telescopes of the Cerro Tololo Inter-American Observatory, between May 1969 and January 1970.</td><td>tap#aux</td></tr>\n",
+       "<tr><td>6</td><td>J/A+A/299/696</td><td>Pleiades field Membership probabilities</td><td>A catalogue of proper motions and photographic B,V magnitudes for stars up to B=19 mag within a region centered near Alcyone is presented. The catalogue is based on MAMA measurements of 8 plates taken with the Tautenburg Schmidt telescope. The survey includes ca. 14500 stars and covers a total field of about 9 square degrees. Membership probabilities, proper motions and B,V magnitudes are listed for 442 stars up to B=19 mag in the Pleiades field.</td><td>tap#aux</td></tr>\n",
+       "<tr><td>7</td><td>J/A+A/320/74</td><td>Radial velocities of Pleiades members</td><td>The analysis of CORAVEL radial velocities of 93 stars selected on the basis of their proper motion and Geneva CCD photometric observations for 57 stars have permitted to identify 25 new members in the outer part of the Pleiades. Several spectroscopic binaries have been discovered, but their membership is not clear. Two orbits with short periods have been determined, but both stars are probably non-members. The total number of member stars in the outer part of the Pleiades in the spectral range F5-K0 (0.45&lt;B-V&lt;0.90) is now 81 which is comparable to the number of stars known in Hertzsprung&apos;s central area (88 stars) in the same spectral domain. Therefore at least 48% of the F5-K0 main-sequence stars are located in the outer part of the cluster. And the census is probably still incomplete.</td><td>tap#aux</td></tr>\n",
+       "<tr><td>8</td><td>J/A+A/323/139</td><td>K magnitude of Pleiades low-mass binaries</td><td>This table provides the list of stars observed but not resolved during the diffraction-limited survey of G and K Pleiades dwarfs. Previously known binaries, either photometric or spectroscopic, are referenced.</td><td>tap#aux</td></tr>\n",
        "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
-       "<tr><td>127</td><td>2MASS 6XMPSIT</td><td>2MASS 6X Merged Point Source Information Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\\n\\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \\n\\nThe merged source tables contain the mean positions magnitudes and uncertainties for sources detected multiple times in each of the 2MASS data sets. The merging was carried out using an autocorrelation of the respective databases to identify groups of extractions that are positionally associated with each other, all lying within a 1.5&quot; radius circular region. A number of confirmation statistics are also provided in the tables that can be used to test for source motion and/or variability, and the general quality of the merge.</td><td>tap#aux</td></tr>\n",
-       "<tr><td>128</td><td>2MASS 6XMXSIT</td><td>2MASS 6X Merged Extended Source Information Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\\n\\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \\n\\nThe merged source tables contain the mean positions magnitudes and uncertainties for sources detected multiple times in each of the 2MASS data sets. The merging was carried out using an autocorrelation of the respective databases to identify groups of extractions that are positionally associated with each other, all lying within a 1.5&quot; radius circular region. A number of confirmation statistics are also provided in the tables that can be used to test for source motion and/or variability, and the general quality of the merge.</td><td>tap#aux</td></tr>\n",
-       "<tr><td>129</td><td>2MASS 6XPSWDB</td><td>2MASS 6X Point Source Working Database Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\\n\\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \\n\\nData processing produced a 6x Image Atlas and 6x point and extended source Working Databases (6x-PSWDB and 6x-XSWDB), analogous to those from the main survey. &quot;Catalogs&quot; of point and extended source detections (6x-PSC and 6x-XSC) that represent uniform, higher reliability single-epoch snapshots of the near infrared sky were drawn from the 6x WDBs using SNR and quality criteria similar to those used to construct the All-Sky Release PSC and XSC (A3.6.c). The 6x-PSC and 6x-XSC have not received the same level of scrutiny and validation as the 2MASS All-Sky PSC and XSC, though.\\n\\nUnlike the All-Sky Release Catalogs, the 6x Catalogs are not released as separate tables. The 6x Point and Extended Source Catalogs are instead integrated into the respective 6x Point and Extended Source WDBs. Sources comprising the Catalogs are denoted in the WDBs with the cat flag, and have cat=&quot;1&quot;.</td><td>tap#aux</td></tr>\n",
-       "<tr><td>130</td><td>2MASS 6XScanInfo</td><td>2MASS 6X Scan Information Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\\n\\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \\n\\nThe 6X Scan Information Table provides basic metadata for each survey mode scan taken during 2MASS 6x observations.</td><td>tap#aux</td></tr>\n",
-       "<tr><td>131</td><td>2MASS 6XXSWDB</td><td>2MASS 6X Extended Source Working Database Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\\n\\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \\n\\nData processing produced a 6x Image Atlas and 6x point and extended source Working Databases (6x-PSWDB and 6x-XSWDB), analogous to those from the main survey. &quot;Catalogs&quot; of point and extended source detections (6x-PSC and 6x-XSC) that represent uniform, higher reliability single-epoch snapshots of the near infrared sky were drawn from the 6x WDBs using SNR and quality criteria similar to those used to construct the All-Sky Release PSC and XSC (A3.6.c). The 6x-PSC and 6x-XSC have not received the same level of scrutiny and validation as the 2MASS All-Sky PSC and XSC, though.\\n\\nUnlike the All-Sky Release Catalogs, the 6x Catalogs are not released as separate tables. The 6x Point and Extended Source Catalogs are instead integrated into the respective 6x Point and Extended Source WDBs. Sources comprising the Catalogs are denoted in the WDBs with the cat flag, and have cat=&quot;1&quot;.</td><td>tap#aux</td></tr>\n",
-       "<tr><td>132</td><td>NGC2516XMM</td><td>NGC 2516 Cluster XMM-Newton X-Ray Point Source Catalog</td><td>This table contains the results from a deep X-ray survey of the young (~ 140 Myr), rich open cluster NGC 2516 obtained with the EPIC camera on board the XMM-Newton satellite. By combining the data from six observations, a high sensitivity, greater than a factor of 5 with respect to recent Chandra observations, has been achieved. Kaplan-Meier estimators of the cumulative X-ray luminosity distribution, statistically corrected for non-member contaminants, were built by the authors and compared to those of the nearly coeval Pleiades cluster. 431 X-ray sources were detected, and 234 of them have as optical counterparts cluster stars spanning the entire NGC 2516 main sequence. On the basis of X-ray emission and optical photometry, 20 new candidate members of the cluster have been identified; at the same time there are 49 X-ray sources without known optical or infrared counterpart. The X-ray luminosities of cluster stars span the range log L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; (erg s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;) = 28.4 - 30.8. The representative coronal temperatures span the 0.3 - 0.6 keV (3.5 - 8 MK) range for the cool component and 1.0 - 2.0 keV (12 - 23 MK) for the hot one; similar values were found in other young open clusters like the Pleiades, IC 2391, and Blanco 1. While no significant differences were found in their X-ray spectra, NGC 2516 solar-type stars are definitely less luminous in X-rays than their nearly coeval Pleiades counterparts. The comparison with a previous ROSAT survey reveals the lack of variability amplitudes larger than a factor of 2 in solar-type cluster stars in a ~ 11 yr time scale, and thus activity cycles like in the Sun are probably absent or have a different period and amplitude in young stars. NGC 2516 has been observed several times with XMM-Newton during the first two years of satellite operations for calibration purposes. The observations used in this analysis span a period of 19 months with exposure times between 10 and 20 ks. All of these observations have been performed with the thick filter. In the combined EPIC datasets the authors detected 431 X-ray sources with a significance level greater than 5.0 sigma, which should lead statistically to at most one spurious source in the field of view.</td><td>tap#aux</td></tr>\n",
-       "<tr><td>133</td><td>NGC2547XMM</td><td>NGC 2547 XMM-Newton X-Ray Point Source Catalog</td><td>This table contains a list of point sources detected by XMM-Newton EPIC in a pointing towards the young open cluster NGC 2547, made in order to allow the authors to characterize coronal activity in solar-type stars, and stars of lower mass, at an age of 30 Myr. X-ray emission was seen from stars at all spectral types, peaking among G stars at luminosities (0.3 - 3 keV) of L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; ~= 10&amp;lt;sup&amp;gt;30.5&amp;lt;/sup&amp;gt; erg/s and declining to L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; &amp;lt;= 10&amp;lt;sup&amp;gt;29&amp;lt;/sup&amp;gt; erg/s among M stars with masses &amp;gt;=0.2 solar masses. Coronal spectra show evidence for multi-temperature differential emission measures and low coronal metal abundances of Z~= 0.3. Most of the solar-type stars in NGC 2547 exhibit saturated or even supersaturated X-ray activity levels. The median levels of L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; and L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt;/L&amp;lt;sub&amp;gt;bol&amp;lt;/sub&amp;gt; in the solar-type stars of NGC 2547 are very similar to those in T-Tauri stars of the Orion Nebula cluster (ONC), but an order of magnitude higher than in the older Pleiades. The spread in X-ray activity levels among solar-type stars in NGC 2547 is much smaller than in older or younger clusters. This table contains the properties of those X-ray sources which are correlated with optical cluster members (see Section 2.2 of the reference paper for details on the correlation procedure that was adopted), as well as the properties of those X-ray sources which are uncorrelated with any optical cluster members. The table lists the cross-identifications with optical catalogs for the candidate cluster sources along with their X-ray luminosities and X-ray to bolometric flux ratios, as well as the correlations between cluster members which were detected by XMM-Newton and those detected 7 years earlier by the ROSAT HRI instrument, along with the X-ray luminosities and flux ratios as determined by the HRI.</td><td>tap#aux</td></tr>\n",
-       "<tr><td>134</td><td>NGC752CXO</td><td>NGC 752 Chandra X-Ray Point Source Catalog</td><td>This table provides a list of X-ray sources detected in a ~140 ks Chandra X-ray observation of the open cluster NGC 752. For the sources with 2MASS counterparts, the values of their magnitudes in the J, H and K bands are also given. Very little is known about the evolution of stellar activity between the ages of the Hyades (0.8 Gyr) and the Sun (4.6 Gyr). To gain information on the typical level of coronal activity at a star&amp;#39;s intermediate age, the authors have studied the X-ray emission from stars in the 1.9 Gyr-old open cluster NGC 752. They analyzed a ~ 140 ks Chandra observation of NGC 752 and a ~50 ks XMM-Newton observation of the same cluster. They detected 262 X-ray sources in the Chandra data and 145 sources in the XMM-Newton observation. Around 90% of the catalogued cluster members within Chandr&amp;aacute;s field of view are detected in the X-ray observation. The X-ray luminosity of all observed cluster members (28 stars) and of 11 cluster member candidates was derived. These data indicate that, at an age of 1.9 Gyr, the typical X-ray luminosity L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of the cluster members with masses of 0.8 to 1.2 solar masses is 1.3 x 10&amp;lt;sup&amp;gt;28&amp;lt;/sup&amp;gt; erg s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;, which is approximately a factor of 6 times less intense than that observed in the younger Hyades. Given that L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; is proportional to the square of a star&amp;#39;s rotational rate, the median L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of NGC 752 is consistent, for t &amp;gt;= 1 Gyr, with a decaying rate in rotational velocities v&amp;lt;sub&amp;gt;rot&amp;lt;/sub&amp;gt; ~ t&amp;lt;sup&amp;gt;-alpha&amp;lt;/sup&amp;gt; with alpha ~ 0.75, steeper than the Skumanich relation (alpha ~ 0.5) and significantly steeper than that observed between the Pleiades and the Hyades (where alpha &amp;lt;0.3), suggesting that a change in the rotational regimes of the stellar interiors is taking place at an age of ~ 1 Gyr. The 135 ks observation of NGC 752 was performed by the Chandra ACIS camera on September 29, 2003 starting at 21:11:59 UT. The X-ray source detection was performed on the event list using the Wavelet Transform detection algorithm developed at Palermo Astronomical Observatory PWDETECT, available at &amp;lt;a href=&quot;http://oapa.astropa.unipa.it/progetti_ricerca/PWDetect&quot;&amp;gt;http://oapa.astropa.unipa.it/progetti_ricerca/PWDetect&amp;lt;/a&amp;gt;. Initially, the energy range 0.2 - 10 keV was selected and the threshold for source detection was taken as to ensure a maximum of 1-2 spurious sources per field. 169 sources were detected in this way. The analysis of these sources hardness ratios showed, however, that all the catalogued stars in the field had low hardness ratios, HR &amp;lt; ~ 0.2, where HR is the number of photons in the 2 - 8 keV band over the number in the 0.5 - 2 keV band. Thus, to maximize the detection of stellar sources, PWDETECT was applied to the event list in the energy range from 0.5 - 2 keV. Using a detection threshold which ensures less than 1 spurious source per field leads to the detection of 188 sources, while lowering this threshold to 10 spurious sources per field, allows 262 sources to be identified in this energy range. This is a significant increase (well above the number expected if all the additional sources were spurious), thus the authors retained this list of 262 sources as their final list of sources in the NGC 752 field, with the caveat that ~ 10 sources among them are likely spurious. Note that the existence of ~ 10 spurious sources in the list is not so much of a problem in this context, because cluster members or candidate members are identified by the existence of a visible or near-IR counterpart. The authors searched for 2MASS counterparts to the X-ray sources using the 2MASS Point Source Catalogue (PSC) and a search radius of 3 arcsec and found a counterpart for 43 sources. Searching within the Point Source Reject Table of the 2MASS Extended Mission leads to the further identification of 1 counterpart (source number 87).</td><td>tap#aux</td></tr>\n",
-       "<tr><td>135</td><td>NGC752XMM</td><td>NGC 752 XMM-Newton X-Ray Point Source Catalog</td><td>This table provides a list of X-ray sources detected in a ~50 ks XMM-Newton X-ray observation of the open cluster NGC 752. For the sources with 2MASS counterparts, the values of their magnitudes in the J, H and K bands are also given. Additionally, for the sources with a Chandra counterpart (within a search radius of 5 arcsec), the values of their Chandra source number (as given in the related Browse table NGC752CXO) are also given. Very little is known about the evolution of stellar activity between the ages of the Hyades (0.8 Gyr) and the Sun (4.6 Gyr). To gain information on the typical level of coronal activity at a star&amp;#39;s intermediate age, the authors have studied the X-ray emission from stars in the 1.9 Gyr-old open cluster NGC 752. They analyzed a ~ 140 ks Chandra observation of NGC 752 and a ~50 ks XMM-Newton observation of the same cluster. They detected 262 X-ray sources in the Chandra data and 145 sources in the XMM-Newton observation. Around 90% of the catalogued cluster members within Chandr&amp;aacute;s field of view are detected in the X-ray observation. The X-ray luminosity of all observed cluster members (28 stars) and of 11 cluster member candidates was derived. These data indicate that, at an age of 1.9 Gyr, the typical X-ray luminosity L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of the cluster members with masses of 0.8 to 1.2 solar masses is 1.3 x 10&amp;lt;sup&amp;gt;28&amp;lt;/sup&amp;gt; erg s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;, which is approximately a factor of 6 times less intense than that observed in the younger Hyades. Given that L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; is proportional to the square of a star&amp;#39;s rotational rate, the median L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of NGC 752 is consistent, for t &amp;gt;= 1 Gyr, with a decaying rate in rotational velocities v&amp;lt;sub&amp;gt;rot&amp;lt;/sub&amp;gt; ~ t&amp;lt;sup&amp;gt;-alpha&amp;lt;/sup&amp;gt; with alpha ~ 0.75, steeper than the Skumanich relation (alpha ~ 0.5) and significantly steeper than that observed between the Pleiades and the Hyades (where alpha &amp;lt;0.3), suggesting that a change in the rotational regimes of the stellar interiors is taking place at an age of ~ 1 Gyr. NGC 752 was observed for 49 ks by the XMM-Newton EPIC camera on February 5, 2003 starting at 23:29:25 UT, and the nominal pointing was towards J2000.0 RA and Declination of (01:57:38, +37:47:60), thus the XMM-Newton field-of-view (FOV) includes the Chandra FOV. For the source detection, the authors used the PWXDETECT code developed at Palermo Observatory and derived from the analogous Chandra PWDETECT code based on wavelet transform analysis. This allows the three EPIC exposures (PN, MOS1 and MOS2) to be combined in order to gain a deeper sensitivity with respect to the source detection based on single images. There were 145 point sources detected in the energy band 0.5 - 2.0 keV. An extended source (not listed in this present table), very likely a galaxy cluster, is also visible in the EPIC data. The authors searched for 2MASS counterparts to the XMM-Newton sources using a search radius of 5 arcsec and found a counterpart for 38 sources. As for the Chandra data, all sources with a visible counterpart from DLM94 have also a 2MASS counterpart, so this leaves 15 XMM-Newton sources with a 2MASS counterpart and no counterpart in Daniel et al. (1994, PASP, 106, 281); of these, 3 were also detected by Chandra; of the other 12, 10 are outside the Chandra FOV, while two are within it (XMM-Newton sources 58 and 65). Source 65 was caught by XMM-Newton during the decay phase of a flare, which explains why it is not detected in the Chandra data. For source 58 there is no immediate explanation for this, since the light curve does not show evidence of a flare. No additional near-IR counterpart to the XMM-Newton sources was found within the Point Source Reject Table of the 2MASS Extended Mission.</td><td>tap#aux</td></tr>\n",
-       "<tr><td>136</td><td>PSPC/Pleiades</td><td>ROSAT PSPC Catalog of the Pleiades (Micela et al. 1996)</td><td>This catalog contains the results of a deep X-ray survey of the core region of the Pleiades open cluster carried out with ROSAT. In a single PSPC field (~1 degree in radius), 99 of 214 Pleiades stars are detected in X-rays, and upper limits are computed for the remainder. This catalog lists the characteristics of these stars taken from the literature, including their rotational data, as well as their X-ray characteristics. The nucleus of the composite catalog used in this study is the catalog compiled from the published literature for the Einstein investigations of the Pleiades (Micela et al. 1990, ApJ, 348, 557). This list has been extended by the results of recent surveys to a completeness limit of visual magnitude of about 18.</td><td>tap#aux</td></tr>\n",
+       "<tr><td>132</td><td>2MASS 6XMPSIT</td><td>2MASS 6X Merged Point Source Information Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\\n\\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \\n\\nThe merged source tables contain the mean positions magnitudes and uncertainties for sources detected multiple times in each of the 2MASS data sets. The merging was carried out using an autocorrelation of the respective databases to identify groups of extractions that are positionally associated with each other, all lying within a 1.5&quot; radius circular region. A number of confirmation statistics are also provided in the tables that can be used to test for source motion and/or variability, and the general quality of the merge.</td><td>tap#aux</td></tr>\n",
+       "<tr><td>133</td><td>2MASS 6XMXSIT</td><td>2MASS 6X Merged Extended Source Information Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\\n\\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \\n\\nThe merged source tables contain the mean positions magnitudes and uncertainties for sources detected multiple times in each of the 2MASS data sets. The merging was carried out using an autocorrelation of the respective databases to identify groups of extractions that are positionally associated with each other, all lying within a 1.5&quot; radius circular region. A number of confirmation statistics are also provided in the tables that can be used to test for source motion and/or variability, and the general quality of the merge.</td><td>tap#aux</td></tr>\n",
+       "<tr><td>134</td><td>2MASS 6XPSWDB</td><td>2MASS 6X Point Source Working Database Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\\n\\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \\n\\nData processing produced a 6x Image Atlas and 6x point and extended source Working Databases (6x-PSWDB and 6x-XSWDB), analogous to those from the main survey. &quot;Catalogs&quot; of point and extended source detections (6x-PSC and 6x-XSC) that represent uniform, higher reliability single-epoch snapshots of the near infrared sky were drawn from the 6x WDBs using SNR and quality criteria similar to those used to construct the All-Sky Release PSC and XSC (A3.6.c). The 6x-PSC and 6x-XSC have not received the same level of scrutiny and validation as the 2MASS All-Sky PSC and XSC, though.\\n\\nUnlike the All-Sky Release Catalogs, the 6x Catalogs are not released as separate tables. The 6x Point and Extended Source Catalogs are instead integrated into the respective 6x Point and Extended Source WDBs. Sources comprising the Catalogs are denoted in the WDBs with the cat flag, and have cat=&quot;1&quot;.</td><td>tap#aux</td></tr>\n",
+       "<tr><td>135</td><td>2MASS 6XScanInfo</td><td>2MASS 6X Scan Information Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\\n\\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \\n\\nThe 6X Scan Information Table provides basic metadata for each survey mode scan taken during 2MASS 6x observations.</td><td>tap#aux</td></tr>\n",
+       "<tr><td>136</td><td>2MASS 6XXSWDB</td><td>2MASS 6X Extended Source Working Database Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\\n\\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \\n\\nData processing produced a 6x Image Atlas and 6x point and extended source Working Databases (6x-PSWDB and 6x-XSWDB), analogous to those from the main survey. &quot;Catalogs&quot; of point and extended source detections (6x-PSC and 6x-XSC) that represent uniform, higher reliability single-epoch snapshots of the near infrared sky were drawn from the 6x WDBs using SNR and quality criteria similar to those used to construct the All-Sky Release PSC and XSC (A3.6.c). The 6x-PSC and 6x-XSC have not received the same level of scrutiny and validation as the 2MASS All-Sky PSC and XSC, though.\\n\\nUnlike the All-Sky Release Catalogs, the 6x Catalogs are not released as separate tables. The 6x Point and Extended Source Catalogs are instead integrated into the respective 6x Point and Extended Source WDBs. Sources comprising the Catalogs are denoted in the WDBs with the cat flag, and have cat=&quot;1&quot;.</td><td>tap#aux</td></tr>\n",
+       "<tr><td>137</td><td>NGC2516XMM</td><td>NGC 2516 Cluster XMM-Newton X-Ray Point Source Catalog</td><td>This table contains the results from a deep X-ray survey of the young (~ 140 Myr), rich open cluster NGC 2516 obtained with the EPIC camera on board the XMM-Newton satellite. By combining the data from six observations, a high sensitivity, greater than a factor of 5 with respect to recent Chandra observations, has been achieved. Kaplan-Meier estimators of the cumulative X-ray luminosity distribution, statistically corrected for non-member contaminants, were built by the authors and compared to those of the nearly coeval Pleiades cluster. 431 X-ray sources were detected, and 234 of them have as optical counterparts cluster stars spanning the entire NGC 2516 main sequence. On the basis of X-ray emission and optical photometry, 20 new candidate members of the cluster have been identified; at the same time there are 49 X-ray sources without known optical or infrared counterpart. The X-ray luminosities of cluster stars span the range log L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; (erg s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;) = 28.4 - 30.8. The representative coronal temperatures span the 0.3 - 0.6 keV (3.5 - 8 MK) range for the cool component and 1.0 - 2.0 keV (12 - 23 MK) for the hot one; similar values were found in other young open clusters like the Pleiades, IC 2391, and Blanco 1. While no significant differences were found in their X-ray spectra, NGC 2516 solar-type stars are definitely less luminous in X-rays than their nearly coeval Pleiades counterparts. The comparison with a previous ROSAT survey reveals the lack of variability amplitudes larger than a factor of 2 in solar-type cluster stars in a ~ 11 yr time scale, and thus activity cycles like in the Sun are probably absent or have a different period and amplitude in young stars. NGC 2516 has been observed several times with XMM-Newton during the first two years of satellite operations for calibration purposes. The observations used in this analysis span a period of 19 months with exposure times between 10 and 20 ks. All of these observations have been performed with the thick filter. In the combined EPIC datasets the authors detected 431 X-ray sources with a significance level greater than 5.0 sigma, which should lead statistically to at most one spurious source in the field of view. This table was created by the HEASARC in May 2007 based on &amp;lt;a href=&quot;https://cdsarc.cds.unistra.fr/ftp/cats/J/A+A/450/993&quot;&amp;gt;CDS catalog J/A+A/450/993&amp;lt;/a&amp;gt; files tablea1.dat and tableb1.dat. This is a service provided by NASA HEASARC .</td><td>tap#aux</td></tr>\n",
+       "<tr><td>138</td><td>NGC2547XMM</td><td>NGC 2547 XMM-Newton X-Ray Point Source Catalog</td><td>This table contains a list of point sources detected by XMM-Newton EPIC in a pointing towards the young open cluster NGC 2547, made in order to allow the authors to characterize coronal activity in solar-type stars, and stars of lower mass, at an age of 30 Myr. X-ray emission was seen from stars at all spectral types, peaking among G stars at luminosities (0.3 - 3 keV) of L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; ~= 10&amp;lt;sup&amp;gt;30.5&amp;lt;/sup&amp;gt; erg/s and declining to L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; &amp;lt;= 10&amp;lt;sup&amp;gt;29&amp;lt;/sup&amp;gt; erg/s among M stars with masses &amp;gt;=0.2 solar masses. Coronal spectra show evidence for multi-temperature differential emission measures and low coronal metal abundances of Z~= 0.3. Most of the solar-type stars in NGC 2547 exhibit saturated or even supersaturated X-ray activity levels. The median levels of L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; and L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt;/L&amp;lt;sub&amp;gt;bol&amp;lt;/sub&amp;gt; in the solar-type stars of NGC 2547 are very similar to those in T-Tauri stars of the Orion Nebula cluster (ONC), but an order of magnitude higher than in the older Pleiades. The spread in X-ray activity levels among solar-type stars in NGC 2547 is much smaller than in older or younger clusters. This table contains the properties of those X-ray sources which are correlated with optical cluster members (see Section 2.2 of the reference paper for details on the correlation procedure that was adopted), as well as the properties of those X-ray sources which are uncorrelated with any optical cluster members. The table lists the cross-identifications with optical catalogs for the candidate cluster sources along with their X-ray luminosities and X-ray to bolometric flux ratios, as well as the correlations between cluster members which were detected by XMM-Newton and those detected 7 years earlier by the ROSAT HRI instrument, along with the X-ray luminosities and flux ratios as determined by the HRI. This table was created by the HEASARC in February 2007 based on CDS Catalog J/MNRAS/367/781 files table1.dat, table2.dat, table3.dat and table7.dat. This is a service provided by NASA HEASARC .</td><td>tap#aux</td></tr>\n",
+       "<tr><td>139</td><td>NGC752CXO</td><td>NGC 752 Chandra X-Ray Point Source Catalog</td><td>This table provides a list of X-ray sources detected in a ~140 ks Chandra X-ray observation of the open cluster NGC 752. For the sources with 2MASS counterparts, the values of their magnitudes in the J, H and K bands are also given. Very little is known about the evolution of stellar activity between the ages of the Hyades (0.8 Gyr) and the Sun (4.6 Gyr). To gain information on the typical level of coronal activity at a star&amp;#39;s intermediate age, the authors have studied the X-ray emission from stars in the 1.9 Gyr-old open cluster NGC 752. They analyzed a ~ 140 ks Chandra observation of NGC 752 and a ~50 ks XMM-Newton observation of the same cluster. They detected 262 X-ray sources in the Chandra data and 145 sources in the XMM-Newton observation. Around 90% of the catalogued cluster members within Chandr&amp;aacute;s field of view are detected in the X-ray observation. The X-ray luminosity of all observed cluster members (28 stars) and of 11 cluster member candidates was derived. These data indicate that, at an age of 1.9 Gyr, the typical X-ray luminosity L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of the cluster members with masses of 0.8 to 1.2 solar masses is 1.3 x 10&amp;lt;sup&amp;gt;28&amp;lt;/sup&amp;gt; erg s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;, which is approximately a factor of 6 times less intense than that observed in the younger Hyades. Given that L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; is proportional to the square of a star&amp;#39;s rotational rate, the median L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of NGC 752 is consistent, for t &amp;gt;= 1 Gyr, with a decaying rate in rotational velocities v&amp;lt;sub&amp;gt;rot&amp;lt;/sub&amp;gt; ~ t&amp;lt;sup&amp;gt;-alpha&amp;lt;/sup&amp;gt; with alpha ~ 0.75, steeper than the Skumanich relation (alpha ~ 0.5) and significantly steeper than that observed between the Pleiades and the Hyades (where alpha &amp;lt;0.3), suggesting that a change in the rotational regimes of the stellar interiors is taking place at an age of ~ 1 Gyr. The 135 ks observation of NGC 752 was performed by the Chandra ACIS camera on September 29, 2003 starting at 21:11:59 UT. The X-ray source detection was performed on the event list using the Wavelet Transform detection algorithm developed at Palermo Astronomical Observatory PWDETECT, available at &amp;lt;a href=&quot;http://oapa.astropa.unipa.it/progetti_ricerca/PWDetect&quot;&amp;gt;http://oapa.astropa.unipa.it/progetti_ricerca/PWDetect&amp;lt;/a&amp;gt;. Initially, the energy range 0.2 - 10 keV was selected and the threshold for source detection was taken as to ensure a maximum of 1-2 spurious sources per field. 169 sources were detected in this way. The analysis of these sources hardness ratios showed, however, that all the catalogued stars in the field had low hardness ratios, HR &amp;lt; ~ 0.2, where HR is the number of photons in the 2 - 8 keV band over the number in the 0.5 - 2 keV band. Thus, to maximize the detection of stellar sources, PWDETECT was applied to the event list in the energy range from 0.5 - 2 keV. Using a detection threshold which ensures less than 1 spurious source per field leads to the detection of 188 sources, while lowering this threshold to 10 spurious sources per field, allows 262 sources to be identified in this energy range. This is a significant increase (well above the number expected if all the additional sources were spurious), thus the authors retained this list of 262 sources as their final list of sources in the NGC 752 field, with the caveat that ~ 10 sources among them are likely spurious. Note that the existence of ~ 10 spurious sources in the list is not so much of a problem in this context, because cluster members or candidate members are identified by the existence of a visible or near-IR counterpart. The authors searched for 2MASS counterparts to the X-ray sources using the 2MASS Point Source Catalogue (PSC) and a search radius of 3 arcsec and found a counterpart for 43 sources. Searching within the Point Source Reject Table of the 2MASS Extended Mission leads to the further identification of 1 counterpart (source number 87). This table was created by the HEASARC in October 2008 based on the electronic version of Table 6 from the reference paper which was obtained from the CDS website, i.e., their catalog J/A+A/490/113 file table6.dat. This is a service provided by NASA HEASARC .</td><td>tap#aux</td></tr>\n",
+       "<tr><td>140</td><td>NGC752XMM</td><td>NGC 752 XMM-Newton X-Ray Point Source Catalog</td><td>This table provides a list of X-ray sources detected in a ~50 ks XMM-Newton X-ray observation of the open cluster NGC 752. For the sources with 2MASS counterparts, the values of their magnitudes in the J, H and K bands are also given. Additionally, for the sources with a Chandra counterpart (within a search radius of 5 arcsec), the values of their Chandra source number (as given in the related Browse table NGC752CXO) are also given. Very little is known about the evolution of stellar activity between the ages of the Hyades (0.8 Gyr) and the Sun (4.6 Gyr). To gain information on the typical level of coronal activity at a star&amp;#39;s intermediate age, the authors have studied the X-ray emission from stars in the 1.9 Gyr-old open cluster NGC 752. They analyzed a ~ 140 ks Chandra observation of NGC 752 and a ~50 ks XMM-Newton observation of the same cluster. They detected 262 X-ray sources in the Chandra data and 145 sources in the XMM-Newton observation. Around 90% of the catalogued cluster members within Chandr&amp;aacute;s field of view are detected in the X-ray observation. The X-ray luminosity of all observed cluster members (28 stars) and of 11 cluster member candidates was derived. These data indicate that, at an age of 1.9 Gyr, the typical X-ray luminosity L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of the cluster members with masses of 0.8 to 1.2 solar masses is 1.3 x 10&amp;lt;sup&amp;gt;28&amp;lt;/sup&amp;gt; erg s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;, which is approximately a factor of 6 times less intense than that observed in the younger Hyades. Given that L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; is proportional to the square of a star&amp;#39;s rotational rate, the median L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of NGC 752 is consistent, for t &amp;gt;= 1 Gyr, with a decaying rate in rotational velocities v&amp;lt;sub&amp;gt;rot&amp;lt;/sub&amp;gt; ~ t&amp;lt;sup&amp;gt;-alpha&amp;lt;/sup&amp;gt; with alpha ~ 0.75, steeper than the Skumanich relation (alpha ~ 0.5) and significantly steeper than that observed between the Pleiades and the Hyades (where alpha &amp;lt;0.3), suggesting that a change in the rotational regimes of the stellar interiors is taking place at an age of ~ 1 Gyr. NGC 752 was observed for 49 ks by the XMM-Newton EPIC camera on February 5, 2003 starting at 23:29:25 UT, and the nominal pointing was towards J2000.0 RA and Declination of (01:57:38, +37:47:60), thus the XMM-Newton field-of-view (FOV) includes the Chandra FOV. For the source detection, the authors used the PWXDETECT code developed at Palermo Observatory and derived from the analogous Chandra PWDETECT code based on wavelet transform analysis. This allows the three EPIC exposures (PN, MOS1 and MOS2) to be combined in order to gain a deeper sensitivity with respect to the source detection based on single images. There were 145 point sources detected in the energy band 0.5 - 2.0 keV. An extended source (not listed in this present table), very likely a galaxy cluster, is also visible in the EPIC data. The authors searched for 2MASS counterparts to the XMM-Newton sources using a search radius of 5 arcsec and found a counterpart for 38 sources. As for the Chandra data, all sources with a visible counterpart from DLM94 have also a 2MASS counterpart, so this leaves 15 XMM-Newton sources with a 2MASS counterpart and no counterpart in Daniel et al. (1994, PASP, 106, 281); of these, 3 were also detected by Chandra; of the other 12, 10 are outside the Chandra FOV, while two are within it (XMM-Newton sources 58 and 65). Source 65 was caught by XMM-Newton during the decay phase of a flare, which explains why it is not detected in the Chandra data. For source 58 there is no immediate explanation for this, since the light curve does not show evidence of a flare. No additional near-IR counterpart to the XMM-Newton sources was found within the Point Source Reject Table of the 2MASS Extended Mission. This table was created by the HEASARC in October 2008 based on the electronic version of Table 7 from the reference paper which was obtained from the CDS website, i.e., their catalog J/A+A/490/113 file table7.dat. This is a service provided by NASA HEASARC .</td><td>tap#aux</td></tr>\n",
+       "<tr><td>141</td><td>PSPC/Pleiades</td><td>ROSAT PSPC Catalog of the Pleiades (Micela et al. 1996)</td><td>This catalog contains the results of a deep X-ray survey of the core region of the Pleiades open cluster carried out with ROSAT. In a single PSPC field (~1 degree in radius), 99 of 214 Pleiades stars are detected in X-rays, and upper limits are computed for the remainder. This catalog lists the characteristics of these stars taken from the literature, including their rotational data, as well as their X-ray characteristics. The nucleus of the composite catalog used in this study is the catalog compiled from the published literature for the Einstein investigations of the Pleiades (Micela et al. 1990, ApJ, 348, 557). This list has been extended by the results of recent surveys to a completeness limit of visual magnitude of about 18. This database was created at the HEASARC in April 2002 based on the ADC/&amp;lt;a href=&quot;https://cdsarc.cds.unistra.fr/ftp/cats/J/ApJS/102/75&quot;&amp;gt;CDS Catalog J/ApJS/102/75&amp;lt;/a&amp;gt; and is derived from Tables 1 and 5 of the published paper. This is a service provided by NASA HEASARC .</td><td>tap#aux</td></tr>\n",
        "</table></div>"
       ],
       "text/plain": [
-       "<Table length=137>\n",
+       "<Table length=142>\n",
        "index    short_name    ... interfaces\n",
        "int64      str16       ...    str7   \n",
        "----- ---------------- ... ----------\n",
@@ -117,23 +116,22 @@
        "    1            I/258 ...    tap#aux\n",
        "    2             I/90 ...    tap#aux\n",
        "    3           II/131 ...    tap#aux\n",
-       "    4            II/44 ...    tap#aux\n",
-       "    5    J/A+A/299/696 ...    tap#aux\n",
-       "    6     J/A+A/320/74 ...    tap#aux\n",
-       "    7    J/A+A/323/139 ...    tap#aux\n",
-       "    8    J/A+A/325/647 ...    tap#aux\n",
-       "    9    J/A+A/329/101 ...    tap#aux\n",
+       "    4            II/43 ...    tap#aux\n",
+       "    5            II/44 ...    tap#aux\n",
+       "    6    J/A+A/299/696 ...    tap#aux\n",
+       "    7     J/A+A/320/74 ...    tap#aux\n",
+       "    8    J/A+A/323/139 ...    tap#aux\n",
        "  ...              ... ...        ...\n",
-       "  127    2MASS 6XMPSIT ...    tap#aux\n",
-       "  128    2MASS 6XMXSIT ...    tap#aux\n",
-       "  129    2MASS 6XPSWDB ...    tap#aux\n",
-       "  130 2MASS 6XScanInfo ...    tap#aux\n",
-       "  131    2MASS 6XXSWDB ...    tap#aux\n",
-       "  132       NGC2516XMM ...    tap#aux\n",
-       "  133       NGC2547XMM ...    tap#aux\n",
-       "  134        NGC752CXO ...    tap#aux\n",
-       "  135        NGC752XMM ...    tap#aux\n",
-       "  136    PSPC/Pleiades ...    tap#aux"
+       "  132    2MASS 6XMPSIT ...    tap#aux\n",
+       "  133    2MASS 6XMXSIT ...    tap#aux\n",
+       "  134    2MASS 6XPSWDB ...    tap#aux\n",
+       "  135 2MASS 6XScanInfo ...    tap#aux\n",
+       "  136    2MASS 6XXSWDB ...    tap#aux\n",
+       "  137       NGC2516XMM ...    tap#aux\n",
+       "  138       NGC2547XMM ...    tap#aux\n",
+       "  139        NGC752CXO ...    tap#aux\n",
+       "  140        NGC752XMM ...    tap#aux\n",
+       "  141    PSPC/Pleiades ...    tap#aux"
       ]
      },
      "execution_count": 2,
@@ -149,7 +147,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9a02a5e8",
+   "id": "7e6eb7bd",
    "metadata": {},
    "source": [
     "Note: The includeaux=True includes auxiliary services.\n",
@@ -159,7 +157,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3345941d",
+   "id": "66ff9451",
    "metadata": {},
    "source": [
     "#### Next, we need to find which of these has the columns of interest, i.e. magnitudes in two bands to create the color-magnitude diagram\n",
@@ -170,7 +168,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "afb65d0f",
+   "id": "72eb4115",
    "metadata": {
     "tags": [
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@@ -181,7 +179,7 @@
      "name": "stdout",
      "output_type": "stream",
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    ],
@@ -193,7 +191,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "58e30296",
+   "id": "a967df94",
    "metadata": {},
    "source": [
     "Note: the '%' serves as a wild card when searching by UCD\n",
@@ -203,7 +201,7 @@
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-   "id": "bc02908d",
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@@ -216,7 +214,7 @@
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        "<tr><td>ivo://cds.vizier/j/pasj/68/92</td></tr>\n",
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        "               ivo://cds.vizier/v/140\n",
+       "                ivo://cds.vizier/v/80\n",
        "        ivo://nasa.heasarc/ngc2516xmm\n",
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        "         ivo://nasa.heasarc/ngc752cxo\n",
@@ -296,7 +292,7 @@
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-   "id": "5805860b",
+   "id": "8d76b9d4",
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@@ -332,7 +328,7 @@
      "name": "stdout",
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-   "id": "751eb75e",
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        "<tr><td>ivo://cds.vizier/j/pasj/68/92</td></tr>\n",
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        "       ivo://cds.vizier/j/a+a/299/696\n",
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-       "    ivo://cds.vizier/j/mnras/483/1125\n",
        "    ivo://cds.vizier/j/mnras/492/1008\n",
        "ivo://cds.vizier/j/other/rmxaa/53.439\n",
        "ivo://cds.vizier/j/other/rmxaa/56.139\n",
        "        ivo://cds.vizier/j/pasj/68/92\n",
        "               ivo://cds.vizier/v/140\n",
+       "                ivo://cds.vizier/v/80\n",
        "        ivo://nasa.heasarc/ngc2516xmm\n",
        "        ivo://nasa.heasarc/ngc2547xmm\n",
        "         ivo://nasa.heasarc/ngc752cxo\n",
@@ -423,7 +417,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1d64e46c",
+   "id": "ef3694a3",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -435,7 +429,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5a9ed8f0",
+   "id": "835b6850",
    "metadata": {},
    "source": [
     "We can read more information about the results we found.  For each resource element (i.e. row in the table above), there are useful attributes, which are [described here]( https://pyvo.readthedocs.io/en/latest/api/pyvo.registry.regtap.RegistryResource.html#pyvo.registry.regtap.RegistryResource)"
@@ -444,7 +438,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "374a5d12",
+   "id": "5141fd56",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -469,6 +463,10 @@
       "The original catalog lists the flare stars discovered by different astronomical observatories over an area slightly larger than 20 square degrees in the Pleiades regions centered on Alcyone. Not all the flare stars are members of this cluster, membership indicators are provided in the catalog. The catalog, combining Tables 1 and 2 of the publication, gives the data for 1531 flares of 519 flare stars.\n",
       "  ***  \n",
       "\n",
+      "['Henry R.C. Hesser J.E.']\n",
+      "The photoelectric measurements of the strength of the Calcium K-line has been extended by 223 stars of predominantly southern or equatorial declinations which are well distributed in right ascension. This has expanded the existent list to 369 field stars for which a k-index is available, including many more Am stars. All available k-index data for field stars are presented here. Introduction: The present work represents a continuation of that described previously (Henry 1968ApJ...152L..87H, 1969ApJS...18...47H = II/42, [hereinafter referenced as Paper I]), in which the K-line of calcium at 3933{AA} is measured photoelectrically in A-type stars with a narrow-band spectrometer. The result for each star is a K-line strength index, called k, the value of which appears to depend predominantly only on the temperature of the star and the abundance of calcium in its atmosphere. The temperature dependence is well known; the abundance dependence appears as a correlation between the residual dK in K (after allowance for the temperature effect) and the difference from normal of the general metallicity index [m1] of Stromgren. Alternatively, it was shown in Paper I that the calcium abundance is probably the effective factor in producing the scatter in the relation between k and b-y by a process of elimination of other parameters (luminosity, etc.) that were found not to affect appreciably the value of k. The value of k is, however, affected by a third parameter, namely, whether the star is an Am star or not. Many of the stars of Paper I were reobserved in order to tie in the new measurements with the old ones. An emphasis was laid on observing more Am stars, and on observing some stars that are of somewhat earlier spectral types than the earliest ones observed previously. Simultaneously with the field-star measurements described here, extensive data were acquired for the A stars in five open clusters (Hyades, Pleiades, IC 2391, IC 2602, and NGC 6475) and one association (Orion), as described in Paper III (Hesser & Henry 1971ApJS...23..453H). The observations were made with the same instrument that was used to obtain the data for Paper I, and a description of the instrument may be found in that paper.\n",
+      "  ***  \n",
+      "\n",
       "['Hesser J.E.', ' Henry R.C.']\n",
       "Photoelectric photometry of the K-line of calcium has been performed for the A stars of five open clusters (Hyades, Pleiades, IC 2391, IC 2602, and NGC 6475) and one association (Orion). All observations were carried out simultaneously with the field stars measurements in Paper II (II/43), with the 16-inch (40cm) and 36-inch (91cm) telescopes of the Cerro Tololo Inter-American Observatory, between May 1969 and January 1970.\n",
       "  ***  \n",
@@ -497,7 +495,7 @@
       "On the basis of the best available member list and duplicity information, we have studied the radial structure of Praesepe and of the very young open cluster NGC 6231. We have found mass segregation among the cluster members and between binaries and single stars, which is explained by the greater average mass of the multiple systems. However, the degree of mass segregation for stars between 1.5 and 2.3M_{sun}_ is less pronounced in Praesepe than in the Pleiades. Furthermore, mass segregation is already present in the very young open cluster NGC 6231 although this cluster is likely still not dynamically relaxed. We discuss the implications of these results and propose a qualitative scenario for the evolution of mass segregation in open clusters. In Praesepe the mass function of single stars and primaries appears to be significantly different, like in the Pleiades. We observe an absence of ellipticity of the outer part of Praesepe.\n",
       "  ***  \n",
       "\n",
-      "['Micela G.', ' Sciortino S.', ' Harnden', ' F.R.Jr.', ' Kashyap V.', ' Rosner R.', ' Prosser C.F.', ' Damiani F.', ' Stauffer J.', ' Caillault J.-P.']\n",
+      "['Micela G.', ' Sciortino S.', ' Harnden', ' F.R.Jr.', ' Kashyap V.', ' Rosner R.,Prosser C.F.', ' Damiani F.', ' Stauffer J.', ' Caillault J.-P.']\n",
       "In a deep X-ray survey of the Pleiades open cluster, we use the ROSAT High Resolution Imager to explore a region of the cluster formerly surveyed with the PSPC. These new observations substantially improve upon both the sensitivity and the spatial resolution for this region of the Pleiades, allowing us to detect 18 cluster members not detected before and 16 members not included in the catalogs used in previous surveys. The high sensitivity of the present observations permits us to obtain more stringent upper limits for 72 additional members and also provides sufficient numbers of stars to enable us to explore the dependence of L_x_ on stellar rotation for the slow rotators of the Pleiades. Using the new high sensitivity X-ray observations and the recent rotational measurements we discuss the activity-rotation relationship in the Pleiades solar type stars. We also present new photometric observations of optical counterparts of a number of X-ray sources detected in previous surveys but not yet identified.\n",
       "  ***  \n",
       "\n",
@@ -517,7 +515,7 @@
       "The maximum amplitude A_max_ of spot-induced brightness variations from long-term V-band photometry and the ratio L_X_/L_bol_ between X-ray and bolometric luminosities are suitable indicators of the level of magnetic activity in the photosphere and in the corona of late-type stars, respectively. By using these activity indicators we investigate the dependence of coronal X-ray emission on the level of photospheric starspot activity in a homogeneous sample of low mass main-sequence field and cluster stars of different ages (IC 2602, IC 4665, IC 2391, {alpha} Per, Pleiades and Hyades).\n",
       "  ***  \n",
       "\n",
-      "['Zickgraf F.-J.', ' Krautter J.', ' Reffert S.', ' Alcala J.M.', ' Mujica R.', ' Covino E.', ' Sterzik M.F.']\n",
+      "['Zickgraf F.-J.', ' Krautter J.', ' Reffert S.', ' Alcala J.M.', ' Mujica R.', ' Covino E.,Sterzik M.F.']\n",
       "We present results of an investigation of the X-ray properties, age distribution, and kinematical characteristics of a high-galactic latitude sample of late-type field stars selected from the ROSAT All-Sky Survey (RASS). The sample comprises 254 RASS sources with optical counterparts of spectral types F to M distributed over six study areas located at |b|>~20{deg}, and Dec>=-9{deg}. A detailed study was carried out for the subsample of ~200 G, K, and M stars. Lithium abundances were determined for 179 G-M stars. Radial velocities were measured for most of the 141 G and K type stars of the sample. Combined with proper motions these data were used to study the age distribution and the kinematical properties of the sample. Based on the lithium abundances half of the G-K stars were found to be younger than the Hyades (660Myr). About 25% are comparable in age to the Pleiades (100Myr). A small subsample of 10 stars is younger than the Pleiades. They are therefore most likely pre-main sequence stars. Kinematically the PMS and Pleiades-type stars appear to form a group with space velocities close to the Castor moving group but clearly distinct from the Local Association.\n",
       "  ***  \n",
       "\n",
@@ -541,27 +539,27 @@
       "Knowledge of the mass function in open clusters constitutes one way to constrain the formation of low-mass stars and brown dwarfs along with the knowledge of the frequency of multiple systems and the properties of disks. The aim of the project is to determine the shape of the mass function in the low-mass and substellar regimes in the pre-main sequence (27Myr) cluster IC4665 located at 350pc from the Sun. We have cross-matched the near-infrared photometric data from the Eighth Data Release (DR8) of the UKIRT Infrared Deep Sky Survey (UKIDSS) Galactic Clusters Survey (GCS) with previous optical data obtained with the Canada-France-Hawaii (CFH) wide-field camera to improve the determination of the luminosity and mass functions in the low-mass and substellar regimes. The availability of i and z photometry taken with the CFH12K camera on the Canada France Hawaii Telescope added strong constraints to the UKIDSS photometric selection in this cluster located in a dense region of our Galaxy. We have derived the luminosity and mass functions of the cluster down to J=18.5mag, corresponding to masses of ~0.025M_{sun}_ at the distance and age of IC4665 according to theoretical models. In addition, we have extracted new candidate members down to ~20 Jupiter masses in a previously unstudied region of the cluster. We have derived the mass function over the 0.6-0.04M_{sun}_ mass range and found that it is best represented by a log-normal function with a peak at 0.25-0.16M_{sun}_, consistent with the determination in the Pleiades.\n",
       "  ***  \n",
       "\n",
-      "['Maedler T.', ' Jofre P.', ' Gilmore G.', ' C Worley C.', ' Soubiran C.', ' Blanco-Cuaresma S.', ' Hawkins K.', ' Casey A.R.']\n",
+      "['Maedler T.', ' Jofre P.', ' Gilmore G.', ' C Worley C.', ' Soubiran C.,Blanco-Cuaresma S.', ' Hawkins K.', ' Casey A.R.']\n",
       "Since the release of the Hipparcos catalogue in 1997, the distance to the Pleiades open cluster has been heavily debated. The distance obtained from Hipparcos and those by alternative methods differ by 10 to 15%. As accurate stellar distances are key to understanding stellar structure and evolution, this dilemma puts the validity of some stellar evolution models into question. Using our model-independent method to determine parallaxes based on twin stars, we report individual parallaxes of 15 FGK type stars in the Pleiades in anticipation of the astrometric mission Gaia. These parallaxes give a mean cluster parallax of 7.42+/-0.09mas,which corresponds to a mean cluster distance of 134.8+/-1.7pc. This value agrees with the current results obtained from stellar evolution models.\n",
       "  ***  \n",
       "\n",
-      "['Barrado D.', ' Bouy H.', ' Bouvier J.', ' Moraux E.', ' Sarro L.M.', ' Bertin E.', ' Cuillandre J.C.', ' Stauffer J.R.', ' Lillo-Box J.', ' Pollock A.']\n",
+      "['Barrado D.', ' Bouy H.', ' Bouvier J.', ' Moraux E.', ' Sarro L.M.', ' Bertin E.,Cuillandre J.C.', ' Stauffer J.R.', ' Lillo-Box J.', ' Pollock A.']\n",
       "Stellar clusters are open windows to understand stellar evolution. Specifically, the change with time and the dependence on mass of different stellar properties. As such, they are our laboratories where different theories can be tested. We try to understand the origin of the connection between lithium depletion in F, G and K stars, rotation and activity, in particular in the Pleiades open cluster. We have collected all the relevant data in the literature, including information regarding rotation period, binarity and activity, and cross-matched with proper motions, multi-wavelength photometry and membership probability from the DANCe database. In order to avoid biases, only Pleiades single members with probabilities larger than 75% have been included in the discussion. Results. The analysis confirms that there is a strong link between activity, rotation and the lithium equivalent width excess, specially for the range Lum(bol)=0.5-0.2L_{sun}_ (about K2-K7 spectral types or 0.75-0.95M_{sun}_). It is not possible to disentangle these effects but we cannot exclude that the observed lithium overabundance is partially an observational effect due to enhanced activity, due to a large coverage by stellar spots induced by high rotation rates. Since a bona fide lithium enhancement is present in young, fast rotators, both activity and rotation should play a role in the lithium problem.\n",
       "  ***  \n",
       "\n",
-      "['Gaia Collaboration van Leeuwen F.', ' Vallenari A.', ' Jordi C.', ' Lindegren L.', ' Bastian U.', ' Prusti T.', ' de Bruijne J.H.J.', ' Brown A.G.A.', ' Babusiaux C.', ' Bailer-Jones C.A.L.', ' Biermann M.', ' Evans D.W.', ' Eyer L.', ' Jansen F.', ' Klioner S.A.', ' Lammers U.', ' Luri X.', ' Mignard F.', ' Panem C.', ' Pourbaix D.', ' Randich S.', ' Sartoretti P.', ' Siddiqui H.I.', ' Soubiran C.', ' Valette V.', ' Walton N.A.', ' Aerts C.', ' Arenou F.', ' Cropper M.', ' Drimmel R.', ' Hog E.', ' Katz D.', ' Lattanzi M.G.', \" O'Mullane W.\", ' Grebel E.K.', ' Holland A.D.', ' Huc C.', ' Passot X.', ' Perryman M.', ' Bramante L.', ' Cacciari C.', ' Castaneda J.', ' Chaoul L.', ' Cheek N.', ' De Angeli F.', ' Fabricius C.', ' Guerra R.', ' Hernandez J.', ' Jean-Antoine-Piccolo A.', ' Masana E.', ' Messineo R.', ' Mowlavi N.', ' Nienartowicz K.', ' Ordonez-Blanco D.', ' Panuzzo P.', ' Portell J.', ' Richards P.J.', ' Riello M.', ' Seabroke G.M.', ' Tanga P.', ' Thevenin F.', ' Torra J.', ' Els S.G.', ' Gracia-Abril G.', ' Comoretto G.', ' Garcia-Reinaldos M.', ' Lock T.', ' Mercier E.', ' Altmann M.', ' Andrae R.', ' Astraatmadja T.L.', ' Bellas-Velidis I.', ' Benson K.', ' Berthier J.', ' Blomme R.', ' Busso G.', ' Carry B.', ' Cellino A.', ' Clementini G.', ' Cowell S.', ' Creevey O.', ' Cuypers J.', ' Davidson M.', ' De Ridder J.', ' de Torres A.', ' Delchambre L.', \" Dell'Oro A.\", ' Ducourant C.', ' Fremat Y.', ' Garcia-Torres M.', ' Gosset E.', ' Halbwachs J.-L.', ' Hambly N.C.', ' Harrison D.L.', ' Hauser M.', ' Hestroffer D.', ' Hodgkin S.T.', ' Huckle H.E.', ' Hutton A.', ' Jasniewicz G.', ' Jordan S.', ' Kontizas M.', ' Korn A.J.', ' Lanzafame A.C.', ' Manteiga M.', ' Moitinho A.', ' Muinonen K.', ' Osinde J.', ' Pancino E.', ' Pauwels T.', ' Petit J.-M.', ' Recio-Blanco A.', ' Robin A.C.', ' Sarro L.M.', ' Siopis C.', ' Smith M.', ' Smith K.W.', ' Sozzetti A.', ' Thuillot W.', ' van Reeven W.', ' Viala Y.', ' Abbas U.', ' Abreu Aramburu A.', ' Accart S.', ' Aguado J.J.', ' Allan P.M.', ' Allasia W.', ' Altavilla G.', ' Alvarez M.A.', ' Alves J.', ' Anderson R.I.', ' Andrei A.H.', ' Anglada Varela E.', ' Antiche E.', ' Antoja T.', ' Anton S.', ' Arcay B.', ' Bach N.', ' Baker S.G.', ' Balaguer-Nunez L.', ' Barache C.', ' Barata C.', ' Barbier A.', ' Barblan F.', ' Barrado y Navascues D.', ' Barros M.', ' Barstow M.A.', ' Becciani U.', ' Bellazzini M.', ' Bello Garcia A.', ' Belokurov V.', ' Bendjoya P.', ' Berihuete A.', ' Bianchi L.', ' Bienayme O.', ' Billebaud F.', ' Blagorodnova N.', ' Blanco-Cuaresma S.', ' Boch T.', ' Bombrun A.', ' Borrachero R.', ' Bouquillon S.', ' Bourda G.', ' Bouy H.', ' Bragaglia A.', ' Breddels M.A.', ' Brouillet N.', ' Bruesemeister T.', ' Bucciarelli B.', ' Burgess P.', ' Burgon R.', ' Burlacu A.', ' Busonero D.', ' Buzzi R.', ' Caffau E.', ' Cambras J.', ' Campbell H.', ' Cancelliere R.', ' Cantat-Gaudin T.', ' Carlucci T.', ' Carrasco J.M.', ' Castellani M.', ' Charlot P.', ' Charnas J.', ' Chiavassa A.', ' Clotet M.', ' Cocozza G.', ' Collins R.S.', ' Costigan G.', ' Crifo F.', ' Cross N.J.G.', ' Crosta M.', ' Crowley C.', ' Dafonte C.', ' Damerdji Y.', ' Dapergolas A.', ' David P.', ' David M.', ' De Cat P.', ' de Felice F.', ' de Laverny P.', ' De Luise F.', ' De March R.', ' de Martino D.', ' de Souza R.', ' Debosscher J.', ' del Pozo E.', ' Delbo M.', ' Delgado A.', ' Delgado H.E.', ' Di Matteo P.', ' Diakite S.', ' Distefano E.', ' Dolding C.', ' Dos Anjos S.', ' Drazinos P.', ' Duran J.', ' Dzigan Y.', ' Edvardsson B.', ' Enke H.', ' Evans N.W.', ' Eynard Bontemps G.', ' Fabre C.', ' Fabrizio M.', ' Faigler S.', ' Falcao A.J.', ' Farras Casas M.', ' Federici L.', ' Fedorets G.', ' Fernandez-Hernandez J.', ' Fernique P.', ' Fienga A.', ' Figueras F.', ' Filippi F.', ' Findeisen K.', ' Fonti A.', ' Fouesneau M.', ' Fraile E.', ' Fraser M.', ' Fuchs J.', ' Gai M.', ' Galleti S.', ' Galluccio L.', ' Garabato D.', ' Garcia-Sedano F.', ' Garofalo A.', ' Garralda N.', ' Gavras P.', ' Gerssen J.', ' Geyer R.', ' Gilmore G.', ' Girona S.', ' Giuffrida G.', ' Gomes M.', ' Gonzalez-Marcos A.', ' Gonzalez-Nunez J.', ' Gonzalez-Vidal J.J.', ' Granvik M.', ' Guerrier A.', ' Guillout P.', ' Guiraud J.', ' Gurpide A.', ' Gutierrez-Sanchez R.', ' Guy L.P.', ' Haigron R.', ' Hatzidimitriou D.', ' Haywood M.', ' Heiter U.', ' Helmi A.', ' Hobbs D.', ' Hofmann W.', ' Holl B.', ' Holland G.', ' Hunt J.A.S.', ' Hypki A.', ' Icardi V.', ' Irwin M.', ' Jevardat de Fombelle G.', ' Jofre P.', ' Jonker P.G.', ' Jorissen A.', ' Julbe F.', ' Karampelas A.', ' Kochoska A.', ' Kohley R.', ' Kolenberg K.', ' Kontizas E.', ' Koposov S.E.', ' Kordopatis G.', ' Koubsky P.', ' Krone-Martins A.', ' Kudryashova M.', ' Kull I.', ' Bachchan R.K.', ' Lacoste-Seris F.', ' Lanza A.F.', ' Lavigne J.-B.', ' Le Poncin-Lafitte C.', ' Lebreton Y.', ' Lebzelter T.', ' Leccia S.', ' Leclerc N.', ' Lecoeur-Taibi I.', ' Lemaitre V.', ' Lenhardt H.', ' Leroux F.', ' Liao S.', ' Licata E.', ' Lindstrom H.E.P.', ' Lister T.A.', ' Livanou E.', ' Lobel A.', ' Loeffler W.', ' Lopez M.', ' Lorenz D.', ' MacDonald I.', ' Magalhaes Fernandes T.', ' Managau S.', ' Mann R.G.', ' Mantelet G.', ' Marchal O.', ' Marchant J.M.', ' Marconi M.', ' Marinoni S.', ' Marrese P.M.', ' Marschalko G.', ' Marshall D.J.', ' Martin-Fleitas J.M.', ' Martino M.', ' Mary N.', ' Matijevic G.', ' Mazeh T.', ' McMillan P.J.', ' Messina S.', ' Michalik D.', ' Millar N.R.', ' Miranda B.M.H.', ' Molina D.', ' Molinaro R.', ' Molinaro M.', ' Molnar L.', ' Moniez M.', ' Montegriffo P.', ' Mor R.', ' Mora A.', ' Morbidelli R.', ' Morel T.', ' Morgenthaler S.', ' Morris D.', ' Mulone A.F.', ' Muraveva T.', ' Musella I.', ' Narbonne J.', ' Nelemans G.', ' Nicastro L.', ' Noval L.', ' Ordenovic C.', ' Ordieres-Mere J.', ' Osborne P.', ' Pagani C.', ' Pagano I.', ' Pailler F.', ' Palacin H.', ' Palaversa L.', ' Parsons P.', ' Pecoraro M.', ' Pedrosa R.', ' Pentikaeinen H.', ' Pichon B.', ' Piersimoni A.M.', ' Pineau F.-X.', ' Plachy E.', ' Plum G.', ' Poujoulet E.', ' Prsa A.', ' Pulone L.', ' Ragaini S.', ' Rago S.', ' Rambaux N.', ' Ramos-Lerate M.', ' Ranalli P.', ' Rauw G.', ' Read A.', ' Regibo S.', ' Reyle C.', ' Ribeiro R.A.', ' Rimoldini L.', ' Ripepi V.', ' Riva A.', ' Rixon G.', ' Roelens M.', ' Romero-Gomez M.', ' Rowell N.', ' Royer F.', ' Ruiz-Dern L.', ' Sadowski G.', ' Sagrista Selles T.', ' Sahlmann J.', ' Salgado J.', ' Salguero E.', ' Sarasso M.', ' Savietto H.', ' Schultheis M.', ' Sciacca E.', ' Segol M.', ' Segovia J.C.', ' Segransan D.', ' Shih I.-C.', ' Smareglia R.', ' Smart R.L.', ' Solano E.', ' Solitro F.', ' Sordo R.', ' Soria Nieto S.', ' Souchay J.', ' Spagna A.', ' Spoto F.', ' Stampa U.', ' Steele I.A.', ' Steidelmueller H.', ' Stephenson C.A.', ' Stoev H.', ' Suess F.F.', ' Sueveges M.', ' Surdej J.', ' Szabados L.', ' Szegedi-Elek E.', ' Tapiador D.', ' Taris F.', ' Tauran G.', ' Taylor M.B.', ' Teixeira R.', ' Terrett D.', ' Tingley B.', ' Trager S.C.', ' Turon C.', ' Ulla A.', ' Utrilla E.', ' Valentini G.', ' van Elteren A.', ' Van Hemelryck E.', ' vanLeeuwen M.', ' Varadi M.', ' Vecchiato A.', ' Veljanoski J.', ' Via T.', ' Vicente D.', ' Vogt S.', ' Voss H.', ' Votruba V.', ' Voutsinas S.', ' Walmsley G.', ' Weiler M.', ' Weingrill K.', ' Wevers T.', ' Wyrzykowski L.', ' Yoldas A.', ' Zerjal M.', ' Zucker S.', ' Zurbach C.', ' Zwitter T.', ' Alecu A.', ' Allen M.', ' Allende Prieto C.', ' Amorim A.', ' Anglada-Escude G.', ' Arsenijevic V.', ' Azaz S.', ' Balm P.', ' Beck M.', ' Bernstein H.-H.', ' Bigot L.', ' Bijaoui A.', ' Blasco C.', ' Bonfigli M.', ' Bono G.', ' Boudreault S.', ' Bressan A.', ' Brown S.', ' Brunet P.-M.', ' Bunclark P.', ' Buonanno R.', ' Butkevich A.G.', ' Carret C.', ' Carrion C.', ' Chemin L.', ' Chereau F.', ' Corcione L.', ' Darmigny E.', ' de Boer K.S.', ' de Teodoro P.', ' de Zeeuw P.T.', ' Delle Luche C.', ' Domingues C.D.', ' Dubath P.', ' Fodor F.', ' Frezouls B.', ' Fries A.', ' Fustes D.', ' Fyfe D.', ' Gallardo E.', ' Gallegos J.', ' Gardiol D.', ' Gebran M.', ' Gomboc A.', ' Gomez A.', ' Grux E.', ' Gueguen A.', ' Heyrovsky A.', ' Hoar J.', ' Iannicola G.', ' Isasi Parache Y.', ' Janotto A.-M.', ' Joliet E.', ' Jonckheere A.', ' Keil R.', ' Kim D.-W.', ' Klagyivik P.', ' Klar J.', ' Knude J.', ' Kochukhov O.', ' Kolka I.', ' Kos J.', ' Kutka A.', ' Lainey V.', ' LeBouquin D.', ' Liu C.', ' Loreggia D.', ' Makarov V.V.', ' Marseille M.G.', ' Martayan C.', ' Martinez-Rubi O.', ' Massart B.', ' Meynadier F.', ' Mignot S.', ' Munari U.', ' Nguyen A.-T.', ' Nordlander T.', \" O'Flaherty K.S.\", ' Ocvirk P.', ' Olias Sanz A.', ' Ortiz P.', ' Osorio J.', ' Oszkiewicz D.', ' Ouzounis A.', ' Palmer M.', ' Park P.', ' Pasquato E.', ' Peltzer C.', ' Peralta J.', ' Peturaud F.', ' Pieniluoma T.', ' Pigozzi E.', ' Poels+ J.', ' Prat G.', \" Prod'homme T.\", ' Raison F.', ' Rebordao J.M.', ' Risquez D.', ' Rocca-Volmerange B.', ' Rosen S.', ' Ruiz-Fuertes M.I.', ' Russo F.', ' Sembay S.', ' Serraller Vizcaino I.', ' Short A.', ' Siebert A.', ' Silva H.', ' Sinachopoulos D.', ' Slezak E.', ' Soffel M.', ' Sosnowska D.', ' Straizys V.', ' ter Linden M.', ' Terrell D.', ' Theil S.', ' Tiede C.', ' Troisi L.', ' Tsalmantza P.', ' Tur D.', ' Vaccari M.', ' Vachier F.', ' Valles P.', ' Van Hamme W.', ' Veltz L.', ' Virtanen J.', ' Wallut J.-M.', ' Wichmann R.', ' Wilkinson M.I.', ' Ziaeepour H.', ' Zschocke S.']\n",
+      "['Gaia Collaborationvan Leeuwen F.', ' Vallenari A.', ' Jordi C.', ' Lindegren L.', ' Bastian U.,Prusti T.', ' de Bruijne J.H.J.', ' Brown A.G.A.', ' Babusiaux C.,Bailer-Jones C.A.L.', ' Biermann M.', ' Evans D.W.', ' Eyer L.', ' Jansen F.,Klioner S.A.', ' Lammers U.', ' Luri X.', ' Mignard F.', ' Panem C.', ' Pourbaix D.,Randich S.', ' Sartoretti P.', ' Siddiqui H.I.', ' Soubiran C.', ' Valette V.,Walton N.A.', ' Aerts C.', ' Arenou F.', ' Cropper M.', ' Drimmel R.', ' Hog E.', ' Katz D.,Lattanzi M.G.', \" O'Mullane W.\", ' Grebel E.K.', ' Holland A.D.', ' Huc C.', ' Passot X.,Perryman M.', ' Bramante L.', ' Cacciari C.', ' Castaneda J.', ' Chaoul L.', ' Cheek N.,De Angeli F.', ' Fabricius C.', ' Guerra R.', ' Hernandez J.,Jean-Antoine-Piccolo A.', ' Masana E.', ' Messineo R.', ' Mowlavi N.,Nienartowicz K.', ' Ordonez-Blanco D.', ' Panuzzo P.', ' Portell J.', ' Richards P.J.,Riello M.', ' Seabroke G.M.', ' Tanga P.', ' Thevenin F.', ' Torra J.', ' Els S.G.,Gracia-Abril G.', ' Comoretto G.', ' Garcia-Reinaldos M.', ' Lock T.', ' Mercier E.,Altmann M.', ' Andrae R.', ' Astraatmadja T.L.', ' Bellas-Velidis I.', ' Benson K.,Berthier J.', ' Blomme R.', ' Busso G.', ' Carry B.', ' Cellino A.', ' Clementini G.,Cowell S.', ' Creevey O.', ' Cuypers J.', ' Davidson M.', ' De Ridder J.', ' de Torres A.,Delchambre L.', \" Dell'Oro A.\", ' Ducourant C.', ' Fremat Y.', ' Garcia-Torres M.,Gosset E.', ' Halbwachs J.-L.', ' Hambly N.C.', ' Harrison D.L.', ' Hauser M.,Hestroffer D.', ' Hodgkin S.T.', ' Huckle H.E.', ' Hutton A.', ' Jasniewicz G.,Jordan S.', ' Kontizas M.', ' Korn A.J.', ' Lanzafame A.C.', ' Manteiga M.,Moitinho A.', ' Muinonen K.', ' Osinde J.', ' Pancino E.', ' Pauwels T.', ' Petit J.-M.,Recio-Blanco A.', ' Robin A.C.', ' Sarro L.M.', ' Siopis C.', ' Smith M.', ' Smith K.W.,Sozzetti A.', ' Thuillot W.', ' van Reeven W.', ' Viala Y.', ' Abbas U.,Abreu Aramburu A.', ' Accart S.', ' Aguado J.J.', ' Allan P.M.', ' Allasia W.,Altavilla G.', ' Alvarez M.A.', ' Alves J.', ' Anderson R.I.', ' Andrei A.H.,Anglada Varela E.', ' Antiche E.', ' Antoja T.', ' Anton S.', ' Arcay B.', ' Bach N.,Baker S.G.', ' Balaguer-Nunez L.', ' Barache C.', ' Barata C.', ' Barbier A.,Barblan F.', ' Barrado y Navascues D.', ' Barros M.', ' Barstow M.A.', ' Becciani U.,Bellazzini M.', ' Bello Garcia A.', ' Belokurov V.', ' Bendjoya P.', ' Berihuete A.,Bianchi L.', ' Bienayme O.', ' Billebaud F.', ' Blagorodnova N.', ' Blanco-Cuaresma S.,Boch T.', ' Bombrun A.', ' Borrachero R.', ' Bouquillon S.', ' Bourda G.', ' Bouy H.,Bragaglia A.', ' Breddels M.A.', ' Brouillet N.', ' Bruesemeister T.,Bucciarelli B.', ' Burgess P.', ' Burgon R.', ' Burlacu A.', ' Busonero D.', ' Buzzi R.,Caffau E.', ' Cambras J.', ' Campbell H.', ' Cancelliere R.', ' Cantat-Gaudin T.,Carlucci T.', ' Carrasco J.M.', ' Castellani M.', ' Charlot P.', ' Charnas J.,Chiavassa A.', ' Clotet M.', ' Cocozza G.', ' Collins R.S.', ' Costigan G.', ' Crifo F.,Cross N.J.G.', ' Crosta M.', ' Crowley C.', ' Dafonte C.', ' Damerdji Y.,Dapergolas A.', ' David P.', ' David M.', ' De Cat P.', ' de Felice F.', ' de Laverny P.,De Luise F.', ' De March R.', ' de Martino D.', ' de Souza R.', ' Debosscher J.,del Pozo E.', ' Delbo M.', ' Delgado A.', ' Delgado H.E.', ' Di Matteo P.', ' Diakite S.,Distefano E.', ' Dolding C.', ' Dos Anjos S.', ' Drazinos P.', ' Duran J.', ' Dzigan Y.,Edvardsson B.', ' Enke H.', ' Evans N.W.', ' Eynard Bontemps G.', ' Fabre C.,Fabrizio M.', ' Faigler S.', ' Falcao A.J.', ' Farras Casas M.', ' Federici L.,Fedorets G.', ' Fernandez-Hernandez J.', ' Fernique P.', ' Fienga A.', ' Figueras F.,Filippi F.', ' Findeisen K.', ' Fonti A.', ' Fouesneau M.', ' Fraile E.', ' Fraser M.,Fuchs J.', ' Gai M.', ' Galleti S.', ' Galluccio L.', ' Garabato D.', ' Garcia-Sedano F.,Garofalo A.', ' Garralda N.', ' Gavras P.', ' Gerssen J.', ' Geyer R.', ' Gilmore G.,Girona S.', ' Giuffrida G.', ' Gomes M.', ' Gonzalez-Marcos A.', ' Gonzalez-Nunez J.,Gonzalez-Vidal J.J.', ' Granvik M.', ' Guerrier A.', ' Guillout P.', ' Guiraud J.,Gurpide A.', ' Gutierrez-Sanchez R.', ' Guy L.P.', ' Haigron R.', ' Hatzidimitriou D.,Haywood M.', ' Heiter U.', ' Helmi A.', ' Hobbs D.', ' Hofmann W.', ' Holl B.', ' Holland G.,Hunt J.A.S.', ' Hypki A.', ' Icardi V.', ' Irwin M.', ' Jevardat de Fombelle G.,Jofre P.', ' Jonker P.G.', ' Jorissen A.', ' Julbe F.', ' Karampelas A.', ' Kochoska A.,Kohley R.', ' Kolenberg K.', ' Kontizas E.', ' Koposov S.E.', ' Kordopatis G.,Koubsky P.', ' Krone-Martins A.', ' Kudryashova M.', ' Kull I.', ' Bachchan R.K.,Lacoste-Seris F.', ' Lanza A.F.', ' Lavigne J.-B.', ' Le Poncin-Lafitte C.,Lebreton Y.', ' Lebzelter T.', ' Leccia S.', ' Leclerc N.', ' Lecoeur-Taibi I.,Lemaitre V.', ' Lenhardt H.', ' Leroux F.', ' Liao S.', ' Licata E.', ' Lindstrom H.E.P.,Lister T.A.', ' Livanou E.', ' Lobel A.', ' Loeffler W.', ' Lopez M.', ' Lorenz D.,MacDonald I.', ' Magalhaes Fernandes T.', ' Managau S.', ' Mann R.G.', ' Mantelet G.,Marchal O.', ' Marchant J.M.', ' Marconi M.', ' Marinoni S.', ' Marrese P.M.,Marschalko G.', ' Marshall D.J.', ' Martin-Fleitas J.M.', ' Martino M.', ' Mary N.,Matijevic G.', ' Mazeh T.', ' McMillan P.J.', ' Messina S.', ' Michalik D.,Millar N.R.', ' Miranda B.M.H.', ' Molina D.', ' Molinaro R.', ' Molinaro M.,Molnar L.', ' Moniez M.', ' Montegriffo P.', ' Mor R.', ' Mora A.', ' Morbidelli R.,Morel T.', ' Morgenthaler S.', ' Morris D.', ' Mulone A.F.', ' Muraveva T.', ' Musella I.,Narbonne J.', ' Nelemans G.', ' Nicastro L.', ' Noval L.', ' Ordenovic C.,Ordieres-Mere J.', ' Osborne P.', ' Pagani C.', ' Pagano I.', ' Pailler F.', ' Palacin H.,Palaversa L.', ' Parsons P.', ' Pecoraro M.', ' Pedrosa R.', ' Pentikaeinen H.,Pichon B.', ' Piersimoni A.M.', ' Pineau F.-X.', ' Plachy E.', ' Plum G.', ' Poujoulet E.,Prsa A.', ' Pulone L.', ' Ragaini S.', ' Rago S.', ' Rambaux N.', ' Ramos-Lerate M.,Ranalli P.', ' Rauw G.', ' Read A.', ' Regibo S.', ' Reyle C.', ' Ribeiro R.A.,Rimoldini L.', ' Ripepi V.', ' Riva A.', ' Rixon G.', ' Roelens M.', ' Romero-Gomez M.,Rowell N.', ' Royer F.', ' Ruiz-Dern L.', ' Sadowski G.', ' Sagrista Selles T.,Sahlmann J.', ' Salgado J.', ' Salguero E.', ' Sarasso M.', ' Savietto H.,Schultheis M.', ' Sciacca E.', ' Segol M.', ' Segovia J.C.', ' Segransan D.,Shih I.-C.', ' Smareglia R.', ' Smart R.L.', ' Solano E.', ' Solitro F.', ' Sordo R.,Soria Nieto S.', ' Souchay J.', ' Spagna A.', ' Spoto F.', ' Stampa U.', ' Steele I.A.,Steidelmueller H.', ' Stephenson C.A.', ' Stoev H.', ' Suess F.F.', ' Sueveges M.,Surdej J.', ' Szabados L.', ' Szegedi-Elek E.', ' Tapiador D.', ' Taris F.', ' Tauran G.,Taylor M.B.', ' Teixeira R.', ' Terrett D.', ' Tingley B.', ' Trager S.C.', ' Turon C.,Ulla A.', ' Utrilla E.', ' Valentini G.', ' van Elteren A.', ' Van Hemelryck E.,vanLeeuwen M.', ' Varadi M.', ' Vecchiato A.', ' Veljanoski J.', ' Via T.', ' Vicente D.,Vogt S.', ' Voss H.', ' Votruba V.', ' Voutsinas S.', ' Walmsley G.', ' Weiler M.,Weingrill K.', ' Wevers T.', ' Wyrzykowski L.', ' Yoldas A.', ' Zerjal M.', ' Zucker S.,Zurbach C.', ' Zwitter T.', ' Alecu A.', ' Allen M.', ' Allende Prieto C.', ' Amorim A.,Anglada-Escude G.', ' Arsenijevic V.', ' Azaz S.', ' Balm P.', ' Beck M.,Bernstein H.-H.', ' Bigot L.', ' Bijaoui A.', ' Blasco C.', ' Bonfigli M.', ' Bono G.,Boudreault S.', ' Bressan A.', ' Brown S.', ' Brunet P.-M.', ' Bunclark P.,Buonanno R.', ' Butkevich A.G.', ' Carret C.', ' Carrion C.', ' Chemin L.', ' Chereau F.,Corcione L.', ' Darmigny E.', ' de Boer K.S.', ' de Teodoro P.', ' de Zeeuw P.T.,Delle Luche C.', ' Domingues C.D.', ' Dubath P.', ' Fodor F.', ' Frezouls B.', ' Fries A.,Fustes D.', ' Fyfe D.', ' Gallardo E.', ' Gallegos J.', ' Gardiol D.', ' Gebran M.,Gomboc A.', ' Gomez A.', ' Grux E.', ' Gueguen A.', ' Heyrovsky A.', ' Hoar J.,Iannicola G.', ' Isasi Parache Y.', ' Janotto A.-M.', ' Joliet E.', ' Jonckheere A.,Keil R.', ' Kim D.-W.', ' Klagyivik P.', ' Klar J.', ' Knude J.', ' Kochukhov O.,Kolka I.', ' Kos J.', ' Kutka A.', ' Lainey V.', ' LeBouquin D.', ' Liu C.', ' Loreggia D.,Makarov V.V.', ' Marseille M.G.', ' Martayan C.', ' Martinez-Rubi O.', ' Massart B.,Meynadier F.', ' Mignot S.', ' Munari U.', ' Nguyen A.-T.', \" Nordlander T.,O'Flaherty K.S.\", ' Ocvirk P.', ' Olias Sanz A.', ' Ortiz P.', ' Osorio J.,Oszkiewicz D.', ' Ouzounis A.', ' Palmer M.', ' Park P.', ' Pasquato E.', ' Peltzer C.,Peralta J.', ' Peturaud F.', ' Pieniluoma T.', ' Pigozzi E.', ' Poels+ J.', \" Prat G.,Prod'homme T.\", ' Raison F.', ' Rebordao J.M.', ' Risquez D.', ' Rocca-Volmerange B.,Rosen S.', ' Ruiz-Fuertes M.I.', ' Russo F.', ' Sembay S.', ' Serraller Vizcaino I.,Short A.', ' Siebert A.', ' Silva H.', ' Sinachopoulos D.', ' Slezak E.', ' Soffel M.,Sosnowska D.', ' Straizys V.', ' ter Linden M.', ' Terrell D.', ' Theil S.', ' Tiede C.,Troisi L.', ' Tsalmantza P.', ' Tur D.', ' Vaccari M.', ' Vachier F.', ' Valles P.,Van Hamme W.', ' Veltz L.', ' Virtanen J.', ' Wallut J.-M.', ' Wichmann R.,Wilkinson M.I.', ' Ziaeepour H.', ' Zschocke S.']\n",
       "The first Gaia Data Release contains the Tycho-Gaia Astrometric Solution (TGAS). This is a subset of about 2 million stars for which, besides the position and photometry, the proper motion and parallax are calculated using Hipparcos and Tycho-2 positions in 1991.25 as prior information. We investigate the scientific potential and limitations of the TGAS component by means of the astrometric data for open clusters. Mean cluster parallax and proper motion values are derived taking into account the error correlations within the astrometric solutions for individual stars, an estimate of the internal velocity dispersion in the cluster, and, where relevant, the effects of the depth of the cluster along the line of sight. Internal consistency of the TGAS data is assessed. . Values given for standard uncertainties are still inaccurate and may lead to unrealistic unit-weight standard deviations of least squares solutions for cluster parameters. Reconstructed mean cluster parallax and proper motion values are generally in very good agreement with earlier Hipparcos-based determination, although the Gaia mean parallax for the Pleiades is a significant exception. We have no current explanation for that discrepancy. Most clusters are observed to extend to nearly 15 pc from the cluster centre, and it will be up to future Gaia releases to establish whether those potential cluster-member stars are still dynamically bound to the clusters. The Gaia DR1 provides the means to examine open clusters far beyond their more easily visible cores, and can provide membership assessments based on proper motions and parallaxes. A combined HR diagram shows the same features as observed before using the Hipparcos data, with clearly increased luminosities for older A and F dwarfs.\n",
       "  ***  \n",
       "\n",
-      "['Frasca A.', ' Guillout P.', ' Klutsch A.', ' Freire Ferrero R.', ' Marilli E.', ' Biazzo K.', ' Gandolfi D.', ' Montes D.']\n",
+      "['Frasca A.', ' Guillout P.', ' Klutsch A.', ' Freire Ferrero R.', ' Marilli E.,Biazzo K.', ' Gandolfi D.', ' Montes D.']\n",
       "Star formation in the solar neighborhood is mainly traced by young stars in open clusters, associations, and in the field, which can be identified, for example, by their X-ray emission. The determination of stellar parameters for the optical counterparts of X-ray sources is crucial for a full characterization of these stars. This work extends the spectroscopic study of the RasTyc sample, obtained by the cross-correlation of the TYCHO and ROSAT All-Sky Survey catalogs, to stars fainter than V=9.5mag and aims to identify sparse populations of young stars in the solar neighborhood. We acquired 625 high-resolution spectra for 443 presumably young stars with four different instruments in the northern hemisphere. The radial and rotational velocity (vsini) of our targets were measured by means of the cross-correlation technique, which is also helpful to discover single-lined (SB1), double-lined spectroscopic binaries (SB2), and multiple systems. We used the code ROTFIT to perform an MK spectral classification and to determine the atmospheric parameters (Teff, logg, [Fe/H]) and and vsini of the single stars and SB1 systems. For these objects, we used the spectral subtraction of slowly rotating templates to measure the equivalent widths of the H{alpha} and LiI-6708A lines, which enabled us to derive their chromospheric activity level and lithium abundance. We made use of Gaia DR1 parallaxes and proper motions to locate the targets in the HR diagram and to compute the space velocity components of the youngest objects. We find a remarkable percentage (at least 35%) of binaries and multiple systems. On the basis of the lithium abundance, the sample of single stars and SB1 systems appears to be mostly (about 60%) composed of stars younger than the members of the UMa cluster. The remaining sources are in the age range between the UMa and Hyades clusters (about 20%) or older (20%). In total, we identify 42 very young (PMS-like) stars, which lie above or very close to the Pleiades upper envelope of the lithium abundance. A significant percentage (about 12%) of evolved stars (giants and subgiants) is also present in our sample. Some of these stars are also lithium rich (A(Li)>1.4).\n",
       "  ***  \n",
       "\n",
-      "['Bouvier J', ' Barrado D.', ' Moraux E.', ' Stauffer J.', ' Rebull L.', ' Hillenbrand L.', ' Bayo A.', ' Boisse I.', ' Bouy H.', ' DiFolco E.', ' Lillo-Box J.', ' Morales Calderon M.']\n",
+      "['Bouvier J', ' Barrado D.', ' Moraux E.', ' Stauffer J.', ' Rebull L.', ' Hillenbrand L.,Bayo A.', ' Boisse I.', ' Bouy H.', ' DiFolco E.', ' Lillo-Box J.', ' Morales Calderon M.']\n",
       "The evolution of lithium abundance over a star's lifetime is indicative of transport processes operating in the stellar interior. Aims. We revisit the relationship between lithium content and rotation rate previously reported for cool dwarfs in the Pleiades cluster. Methods. We derive new LiI 670.8nm equivalent width measurements from high-resolution spectra obtained for low-mass Pleiades members. We combine these new measurements with previously published ones, and use the Kepler/K2 rotational periods recently derived for Pleiades cool dwarfs to investigate the lithium-rotation connection in this 125Myr-old cluster. Results. The new data confirm the correlation between lithium equivalent width and stellar spin rate for a sample of 51 early K-type members of the cluster, where fast rotating stars are systematically lithium-rich compared to slowly rotating ones. The correlation is valid for all stars over the (J-Ks) color range 0.50-0.70mag, corresponding to a mass range from about 0.75 to 0.90M_{sun}_, and may extend down to lower masses. Conclusions. We argue that the dispersion in lithium equivalent widths observed for cool dwarfs in the Pleiades cluster reflects an intrinsic scatter in lithium abundances, and suggest that the physical origin of the lithium dispersion pattern is to be found in the pre-main sequence rotational history of solar-type stars.\n",
       "  ***  \n",
       "\n",
-      "['Fritzewski D.J.', ' Barnes S.A.', ' James D.J.', ' Geller A.M.', ' Meibom S.', ' Strassmeier K.G.']\n",
+      "['Fritzewski D.J.', ' Barnes S.A.', ' James D.J.', ' Geller A.M.', ' Meibom S.,Strassmeier K.G.']\n",
       "NGC 3532 is an extremely rich open cluster embedded in the Galactic disc, hitherto lacking a comprehensive, documented membership list. We provide membership probabilities from new radial velocity observations of solar-type and low-mass stars in NGC 3532, in part as a prelude to a subsequent study of stellar rotation in the cluster. Using extant optical and infra-red photometry we constructed a preliminary photometric membership catalogue, consisting of 2230 dwarf and turn-off stars. We selected 1060 of these for observation with the AAOmega spectrograph at the 3.9m Anglo-Australian Telescope and 391 stars for observations with the Hydra-South spectrograph at the 4m Victor Blanco Telescope, obtaining spectroscopic observations over a decade for 145 stars. We measured radial velocities for our targets through cross-correlation with model spectra and standard stars, and supplemented them with radial velocities for 433 additional stars from the literature. We also measured logg, Teff, and [Fe/H] from the AAOmega spectra. The radial velocity distribution emerging from the observations is centred at 5.43+/-0.04km/s and has a width (standard deviation) of 1.46km/s. Together with proper motions from Gaia DR2 we find 660 exclusive members, of which five are likely binary members. The members are distributed across the whole cluster sequence, from giant stars to M dwarfs, making NGC~3532 one of the richest Galactic open clusters known to date, on par with the Pleiades. From further spectroscopic analysis of 153 dwarf members we find the metallicity to be marginally sub-solar, with [Fe/H]=-0.07+/-0.10. We confirm the extremely low reddening of the cluster, E_B-V_=0.034+/-0.012mag, despite its location near the Galactic plane. Exploiting trigonometric parallax measurements from Gaia DR2 we find a distance of 484^+35^_-30_pc [(m-M)_0_=8.42+/-0.14mag]. Based on the membership we provide an empirical cluster sequence in multiple photometric passbands. A comparison of the photometry of the measured cluster members with several recent model isochrones enables us to confirm the 300Myr cluster age. However, all of the models evince departures from the cluster sequence in particular regions, especially in the lower mass range.\n",
       "  ***  \n",
       "\n",
@@ -585,7 +583,7 @@
       "A very rich cluster intermediate in age between the Pleiades (150Myr) and the Hyades (600Myr) is needed to probe the rotational evolution, especially the transition between fast and slow rotation that occurs between the two ages. We study the rich 300Myr-old open cluster NGC 3532 to probe this important transition and to provide constraints on angular momentum loss. Measuring the rotation periods builds on our prior work of providing spectroscopic membership information for the cluster, and it supports the chromospheric activity measurements of cluster stars that we provide in a companion paper. Using 42d-long photometric time series observations obtained with the Yale 1m telescope at CTIO, we measured rotation periods for members of NGC 3532 and compared them with the predictions of angular momentum evolution models. We directly measured 176 photometric rotation periods for the cluster members. An additional 113 photometric rotation periods were identified using activity information, described fully in the companion paper, resulting in a total sample containing 279 rotation periods for FGKM stars in NGC 3532. The colour-period diagram constructed from this rich data set shows a well-populated and structured slow rotator sequence, and a fast rotator sequence evolved beyond zero-age main sequence age whose stars are in transition from fast to slow rotation. The slow rotator sequence itself is split into slightly slower and faster rotators, a feature we trace to photometric binary status. We also identify an extended slow rotator sequence extending to P~32d, apparently the analogue of the one we previously identified in NGC 2516. We compare our period distribution to rotational isochrones in colour-period space and find that all considered models have certain shortcomings. Using more detailed spin-down models, we evolve the rotation periods of the younger NGC 2516 forward in time and find that the spindown of the models is too aggressive with respect to the slow rotators. In contrast, stars on the evolved fast rotator sequence are not spun down strongly enough by these models. Our observations suggest a shorter crossing time for the rotational gap, one we estimate to be ~80Myr for early-K dwarfs.\n",
       "  ***  \n",
       "\n",
-      "['Messina S.', ' Nardiello D.', ' Desidera S.', ' Baratella M.', ' Benatti S.', ' Biazzo K.', \" D'Orazi V.\"]\n",
+      "['Messina S.', ' Nardiello D.', ' Desidera S.', ' Baratella M.', ' Benatti S.', \" Biazzo K.,D'Orazi V.\"]\n",
       "Gyrochronology is one of the methods currently used to estimate the age of stellar open clusters. Hundreds of new clusters, associations, and moving groups unveiled by Gaia and complemented by accurate rotation period measurements provided by recent space missions such as Kepler and TESS are allowing us to significantly improve the reliability of this method. Aims. We use gyrochronology, that is, the calibrated age-mass-rotation relation valid for low-mass stars, to measure the age of the recently discovered moving group Group X. We extracted the light curves of all candidate members from the TESS full frame images and measured their rotation periods using different period search methods. Results. We measured the rotation period of 168 of a total of 218 stars and compared their period-colour distribution with those of two age-benchmark clusters, the Pleiades (125Myr) and Praesepe (625Myr), as well as with the recently characterised open cluster NGC 3532 (300Myr). As result of our analysis, we derived a gyro age of 300+/-60Myr. We also applied as independent methods the fitting of the entire isochrone and of the three brightest candidate members individually with the most precise stellar parameters, deriving comparable values of 250 Myr and 290 Myr, respectively. Our dating of Group X allows us to definitively rule out the previously proposed connection with the nearby but much older Coma Berenices cluster.\n",
       "  ***  \n",
       "\n",
@@ -597,7 +595,7 @@
       "The Gaia astrophysical parameters inference system (Apsis) provides astrophysical parameter estimates for several to hundreds of millions of stars. Aims. We aim to benchmark Gaia DR3 Apsis. We compiled approximately 1500 bona fide single stars in the Hyades and Pleiades open clusters for validation of PARSEC isochrones, and for comparison with Apsis estimates. PARSEC stellar isochrones in the Gaia photometric system enable us to assign average ages and metallicities to the clusters, and mass, effective temperature, luminosity, and surface gravity to the individual stars. Apsis does not recover the single-age, single-metallicity characteristic of the cluster populations. Ages assigned to cluster members seemingly follow the input template for Galactic populations, with earlier-type stars being systematically assigned younger ages than later-type stars. Cluster metallicities are underestimated by 0.1 to 0.2dex. Effective temperature estimates are in general reliable. Surface gravity estimates reveal strong systematic errors for specific ranges of the Gaia BP-RP colours. We caution that Gaia DR3 Apsis estimates can be subject to significant systematic uncertainties. Some of the Apsis estimates, such as metallicity, might only be meaningful for statistical studies of the time-averaged Galactic stellar population, but are not recommended to be used for individual stars.\n",
       "  ***  \n",
       "\n",
-      "['Zerjal M.', ' Lodieu N.', ' Perez-Garrido A.', ' Olivares J.', ' Bejar V.J.S.', ' Martin E.L.']\n",
+      "['Zerjal M.', ' Lodieu N.', ' Perez-Garrido A.', ' Olivares J.', ' Bejar V.J.S.,Martin E.L.']\n",
       "Open clusters are groups of coeval stars sharing properties such as distance and metallicity, and they are key to understanding stellar evolution. Our main goal is to study the evolution of open clusters with a special focus on the universality of the luminosity function. We applied an upgraded version of the convergent point technique on about 50 open clusters. The selection of cluster members was based purely on the exquisite astrometry of the Gaia DR3 and Hipparcos catalogues in the five-dimensional or full six-dimensional space. We present updated lists of bona fide members of ~50 open clusters within 500pc and younger than 1Gyr, exploiting the full depth of the third Gaia data release complemented by Hipparcos at the bright end, excluding regions in the Galactic plane. Our catalogues also are complemented by optical and infrared photometry from the major large-scale public surveys. All the data will be made available on a dedicated webpage with interactive plots and a direct link to Aladin and Vizier hosted at the Centre de Donnees de Strasbourg. We derived luminosity functions for all bound clusters and compared them in three age groups of ~50Myr, ~150Myr, and ~600Myr, discussing similarities and differences to constrain their dynamical evolution. Luminosity functions of clusters at 50Myr are more likely similar to each other and show a greater degree of similarity than older clusters. We explain this observation with the universal luminosity function within the volume of our sample (500pc). Luminosity functions of clusters with ages similar to the Pleiades or Hyades are more diverse, perhaps due to internal dynamical evolution, but more work is needed to provide additional evidence.\n",
       "  ***  \n",
       "\n",
@@ -621,7 +619,7 @@
       "A complete sample of blue horizontal branch (BHB) stars in the magnitude range 13.0<V<16.5 is isolated in two Galactic fields that have previously been searched for RR Lyrae variables: SA 57 in the Northern Polar Cap and the Lick Astrograph field RR 7 in the Anticenter (l=183{deg}, b=+37{deg}). These BHB stars are a subset of the AF stars found in the Case Low-Dispersion Northern Survey; lists of these AF stars were made available by the late Nick Sanduleak. The completeness of the sample was confirmed by reference to the photometric survey of SA 57 by Stobie & Ishida (1987AJ93..... 624S) that is complete to fainter than V=18. In the color range 0.00<(B-V)_0_<+0.20, we can distinguish the BHB stars among these AF stars by comparing them both with well known local field horizontal branch (FHB) stars and also the BHB members of the halo globular clusters M3 and M92. The criteria for this comparison include (1) a (u-B)_K_ color index (derived from photoelectric observations using the Stromgren u filter and the Johnson B and V filters) that measures the size of the Balmer jump, (2) a spectrophotometric index A that measures the steepness of the Balmer jump, and (3) a parameter D_0.2_ that is the mean width of the H{gamma} and H{delta} Balmer lines measured at 20 percent of the continuum level. These criteria give consistent results in separating BHB stars from higher gravity main sequence AF stars in the color range 0.00<(B-V)_0_<+0.20. All three photometric and spectrophotometric criteria were measured for 35 stars in the SA 57 field and 37 stars in the RR 7 field that are in the color range (B-V)_0_<+0.23 and in the magnitude range 13.0<V<16.5. For a small number of additional stars only (u-B)_K_ was obtained. Among the AF stars that are fainter than B=13 and bluer than (B-V)_0_=+0.23, about half of those in the SA 57 field and about one third of those in the lower latitude RR 7 field are BHB stars. Isoabundance contours were located empirically in plots of the pseudoequivalent width versus (B-V)_0_ for the lines of Mg II A4481{AA}, Ca II A3933 {AA} and Fe I A4272{AA}. Solar abundances were defined by the data from main sequence stars in the Pleiades and Coma open clusters. Data from the BHB stars in M3 and M92 defined the [Fe/H]=1.5 and -2.2 isoabundance contours, respectively. Metallicities of all stars were estimated by interpolating the measured pseudoequivalent widths in these diagrams at the observed (B-V)_0_. The distribution of [Fe/H] found for the BHB stars in this way is very similar to that which we found for the RR Lyrae stars in the same fields using the Preston AS method. The space densities of these BHB stars were analyzed both separately and together with earlier observations of field BHB stars given by Arnold & Gilmore (1992MNRAS.257..225A), Sommer-Larsen & Christensen (1986MNRAS.219..537S), and Preston et al. (1991ApJ...375..121P). This analysis supports a two-component model for the halo of our Galaxy that is similar in many respects to that proposed by Hartwick [The Galaxy (Reidel, Dordrecht 1987)] although our discussion refers only to the region outside the solar circle. For Z>=35kpc, a classical spherical halo dominates which follows a R_gal_^-3.5^ space-density law and which has a HB morphology like that of the globular cluster M3 (i.e., approximately equal numbers of BHB and RR Lyrae stars). Closer to the galactic plane, there is an additional component with a much flatter galactic distribution (scale height ~2.2kpc near the Sun). The stars of the two components do not have significantly different metallicity distributions but do have slightly different distributions of the A parameter which measures the steepness of the Balmer jump; this is the only physical criterion (independent of spatial or kinematic considerations) which distinguishes between the two components. If present estimates of the local RR Lyrae star space density are correct, then the ratio of BHB stars to RR Lyrae stars is higher in the flatter halo component. The flat component would then have a bluer HB morphology (which could be interpreted as making it older) than the spherical component. In the solar neighborhood about 80 percent of the BHB stars come from the flat component and about 20 percent from the spherical component. More than half of the AF stars with V>13.0 and (B-V)_0_<+0.23 are not BHB stars but have surface gravities that are more like those expected for main sequence stars. Their measured metallicities lie in the range -0.2<[Fe/H]<-2.3. The more metal-poor of these stars are probably similar to the blue metal-poor stars that have been discussed by Preston et al. (1994AJ....108..538P) which, while they probably include globular cluster blue stragglers as a subset, must also comprise stars of other types.\n",
       "  ***  \n",
       "\n",
-      "['Prosser C.F.', ' Stauffer J.R.', ' Caillault J.-P.', ' Balachandran S.', ' Stern R.A.', ' Randich S.']\n",
+      "['Prosser C.F.', ' Stauffer J.R.', ' Caillault J.-P.', ' Balachandran S.,Stern R.A.', ' Randich S.']\n",
       "A ROSAT X-ray survey, with complementary optical photometry, of the open cluster NGC 6475 has enabled the detection of ~50 late-F to K0 and ~70 K/M dwarf new candidate members, providing the first reliable detection of low-mass stars in this low galactic latitude, 220Myr old cluster. The X-ray observations reported here have a typical limiting sensitivity of L_X_ ~ 10^29^erg/s. The detection frequency of early type cluster members is consistent with the hypothesis that the X-ray emitting early type stars are binary systems with an unseen, low-mass secondary producing the X-rays. The ratio between X-ray and bolometric luminosity among NGC 6475 members saturates at a spectral-type/color which is intermediate between that in much younger and in much older clusters, consistent with rotational spindown of solar-type stars upon their arrival on the ZAMS. The upper envelope of X-ray luminosity as a function of spectral type is comparable to that of the Pleiades, with the observed spread in X-ray luminosity among low-mass members being likely due to the presence of binaries and relatively rapid rotators. However, the list of X-ray selected candidate members is likely biased against low-mass, slowly rotating single stars. While some preliminary spectroscopic information is given in an appendix, further spectroscopic observations of the new candidate members will aid in interpreting the coronal activity among solar-type NGC 6475 members and their relation to similar stars in older and younger open clusters.\n",
       "  ***  \n",
       "\n",
@@ -637,15 +635,15 @@
       "We present new BVI_C_ photometry for 350 Pleiades proper motion members with 9<V<~17. Importantly, our new catalog includes a large number of K- and early M-type stars, roughly doubling the number of low-mass stars with well-calibrated Johnson/Cousins photometry in this benchmark cluster. We combine our new photometry with existing photometry from the literature to define a purely empirical isochrone at Pleiades age ({approx}100Myr) extending from V=9 to 17. We use the empirical isochrone to identify 48 new probable binaries and 14 likely nonmembers. The photometrically identified single stars are compared against their expected positions in the color-magnitude diagram (CMD). At 100Myr, the mid K and early M stars are predicted to lie above the zero-age main sequence (ZAMS) having not yet reached the ZAMS. We find in the B-V versus V CMD that mid K and early M dwarfs are instead displaced below (or blueward of) the ZAMS. Using the stars' previously reported rotation periods, we find a highly statistically significant correlation between rotation period and CMD displacement, in the sense that the more rapidly rotating stars have the largest displacements in the B-V CMD.\n",
       "  ***  \n",
       "\n",
-      "['Rebull L.M.', ' Stauffer J.R.', ' Bouvier J.', ' Cody A.M.', ' Hillenbrand L.A.', ' Soderblom D.R.', ' Valenti J.', ' Barrado D.', ' Bouy H.', ' Ciardi D.', ' Pinsonneault M.', ' Stassun K.', ' Micela G.', ' Aigrain S.', ' Vrba F.', ' Somers G.', ' Christiansen J.', ' Gillen E.', ' Collier Cameron A.']\n",
+      "['Rebull L.M.', ' Stauffer J.R.', ' Bouvier J.', ' Cody A.M.', ' Hillenbrand L.A.,Soderblom D.R.', ' Valenti J.', ' Barrado D.', ' Bouy H.', ' Ciardi D.,Pinsonneault M.', ' Stassun K.', ' Micela G.', ' Aigrain S.', ' Vrba F.', ' Somers G.,Christiansen J.', ' Gillen E.', ' Collier Cameron A.']\n",
       "Young (125Myr), populous (>1000 members), and relatively nearby, the Pleiades has provided an anchor for stellar angular momentum models for both younger and older stars. We used K2 to explore the distribution of rotation periods in the Pleiades. With more than 500 new periods for Pleiades members, we are vastly expanding the number of Pleiades with periods, particularly at the low-mass end. About 92% of the members in our sample have at least one measured spot-modulated rotation period. For the ~8% of the members without periods, non-astrophysical effects often dominate (saturation, etc.), such that periodic signals might have been detectable, all other things being equal. We now have an unusually complete view of the rotation distribution in the Pleiades. The relationship between P and (V-K_s_)_0_ follows the overall trends found in other Pleiades studies. There is a slowly rotating sequence for 1.1<~(V-K_s_)_0_<~3.7 and a primarily rapidly rotating population for (V-K_s_)_0_>~5.0. There is a region in which there seems to be a disorganized relationship between P and (V-K_s_)_0_ for 3.7<~(V-K_s_)_0_<~5.0. Paper II continues the discussion, focusing on multiperiod structures, and Paper III speculates about the origin and evolution of the period distribution in the Pleiades.\n",
       "  ***  \n",
       "\n",
-      "['Rebull L.M.', ' Stauffer J.R.', ' Bouvier J.', ' Cody A.M.', ' Hillenbrand L.A.', ' Soderblom D.R.', ' Valenti J.', ' Barrado D.', ' Bouy H.', ' Ciardi D.', ' Pinsonneault M.', ' Stassun K.', ' Micela G.', ' Aigrain S.', ' Vrba F.', ' Somers G.', ' Gillen E.', ' Collier Cameron A.']\n",
+      "['Rebull L.M.', ' Stauffer J.R.', ' Bouvier J.', ' Cody A.M.', ' Hillenbrand L.A.,Soderblom D.R.', ' Valenti J.', ' Barrado D.', ' Bouy H.', ' Ciardi D.,Pinsonneault M.', ' Stassun K.', ' Micela G.', ' Aigrain S.', ' Vrba F.', ' Somers G.,Gillen E.', ' Collier Cameron A.']\n",
       "We use K2 to continue the exploration of the distribution of rotation periods in Pleiades that we began in Paper I. We have discovered complicated multiperiod behavior in Pleiades stars using these K2 data, and we have grouped them into categories, which are the focal part of this paper. About 24% of the sample has multiple, real frequencies in the periodogram, sometimes manifesting as obvious beating in the LCs. Those having complex and/or structured periodogram peaks, unresolved multiple periods, and resolved close multiple periods are likely due to spot/spot group evolution and/or latitudinal differential rotation; these largely compose the slowly rotating sequence in P versus (V-K_s_)_0_ identified in Paper I. The fast sequence in P versus (V-K_s_)_0_ is dominated by single-period stars; these are likely to be rotating as solid bodies. Paper III continues the discussion, speculating about the origin and evolution of the period distribution in the Pleiades.\n",
       "  ***  \n",
       "\n",
-      "['Stauffer J.', ' Rebull L.', ' Bouvier J.', ' Hillenbrand L.A.', ' Collier-Cameron A.', ' Pinsonneault M.', ' Aigrain S.', ' Barrado D.', ' Bouy H.', ' Ciardi D.', ' Cody A.M.', ' David T.', ' Micela G.', ' Soderblom D.', ' Somers G.', ' Stassun K.G.', ' Valenti J.', ' Vrba F.J.']\n",
+      "['Stauffer J.', ' Rebull L.', ' Bouvier J.', ' Hillenbrand L.A.', ' Collier-Cameron A.,Pinsonneault M.', ' Aigrain S.', ' Barrado D.', ' Bouy H.', ' Ciardi D.', ' Cody A.M.,David T.', ' Micela G.', ' Soderblom D.', ' Somers G.', ' Stassun K.G.', ' Valenti J.,Vrba F.J.']\n",
       "We use high-quality K2 light curves for hundreds of stars in the Pleiades to better understand the angular momentum evolution and magnetic dynamos of young low-mass stars. The K2 light curves provide not only rotational periods but also detailed information from the shape of the phased light curve that was not available in previous studies. A slowly rotating sequence begins at (V-K_s_)_0_~1.1 (spectral type F5) and ends at (V-K_s_)_0_~3.7 (spectral type K8), with periods rising from ~2 to ~11 days in that interval. A total of 52% of the Pleiades members in that color interval have periods within 30% of a curve defining the slow sequence; the slowly rotating fraction decreases significantly redward of (V-K_s_)_0_=2.6. Nearly all of the slow-sequence stars show light curves that evolve significantly on timescales less than the K2 campaign duration. The majority of the FGK Pleiades members identified as photometric binaries are relatively rapidly rotating, perhaps because binarity inhibits star-disk angular momentum loss mechanisms during pre-main-sequence evolution. The fully convective late M dwarf Pleiades members (5.0<(V-K_s_)_0_<6.0) nearly always show stable light curves, with little spot evolution or evidence of differential rotation. During pre-main-sequence evolution from ~3Myr (NGC2264 age) to ~125Myr (Pleiades age), stars of 0.3M_{Sun}_ shed about half of their angular momentum, with the fractional change in period between 3 and 125Myr being nearly independent of mass for fully convective stars. Our data also suggest that very low mass binaries form with rotation periods more similar to each other and faster than would be true if drawn at random from the parent population of single stars.\n",
       "  ***  \n",
       "\n",
@@ -653,7 +651,7 @@
       "Precise measurements of eclipsing binary parameters and statistical studies of young clusters have suggested that some magnetically active low-mass dwarfs possess radii inflated by ~5%-15% relative to theoretical expectations. If true, this effect should be pronounced in young open clusters, due to the rapid rotation and strong magnetic activity of their most extreme members. We explore this possibility by determining empirical radii for 83 members of the nearby Pleiades open cluster, using spectral energy distribution fitting to establish F_bol_ with a typical accuracy of ~3% together with color and spectro-photometric indices to determine T_eff_. We find several Pleiades members with radii inflated above radius-T_eff_ models from state-of-the-art calculations, and apparent dispersions in radii for the K-dwarfs of the cluster. Moreover, we demonstrate that this putative radius inflation correlates strongly with rotation rate, consistent with inflation of young stars by magnetic activity and/or starspots. We argue that this signal is not a consequence of starspot-induced color anomalies, binarity, or depth effects in the cluster, employing Gaia DR1 distances as a check. Finally, we consider the lithium abundances of these stars, demonstrating a triple correlation between rotation rate, radius inflation, and enhanced lithium abundance. Our result-already significant to ~99.99% confidence-provides strong support for a magnetic origin of the inflated radii and lithium dispersion observed in young, low-mass stars.\n",
       "  ***  \n",
       "\n",
-      "['Jao W.-C.', ' Henry T.J.', ' Winters J.G.', ' Subasavage J.P.', ' Riedel A.R.', ' Silverstein M.L.', ' Ianna P.A.']\n",
+      "['Jao W.-C.', ' Henry T.J.', ' Winters J.G.', ' Subasavage J.P.', ' Riedel A.R.,Silverstein M.L.', ' Ianna P.A.']\n",
       "Parallaxes, proper motions, and optical photometry are presented for 51 systems consisting of 37 cool subdwarf and 14 additional high proper motion systems. Thirty-seven systems have parallaxes reported for the first time, 15 of which have proper motions of at least 1\"/yr. The sample includes 22 newly identified cool subdwarfs within 100 pc, of which three are within 25 pc, and an additional five subdwarfs from 100 to 160 pc. Two systems-LSR 1610-0040 AB and LHS 440 AB-are close binaries exhibiting clear astrometric perturbations that will ultimately provide important masses for cool subdwarfs. We use the accurate parallaxes and proper motions provided here, combined with additional data from our program and others, to determine that effectively all nearby stars with tangential velocities greater than 200 km/s are subdwarfs. We compare a sample of 167 confirmed cool subdwarfs to nearby main sequence dwarfs and Pleiades members on an observational Hertzsprung-Russell diagram using M_V_ versus (V-K_s_) to map trends of age and metallicity. We find that subdwarfs are clearly separated for spectral types K5-M5, indicating that the low metallicities of subdwarfs set them apart in the H-R diagram for (V-K_s_)=3-6. We then apply the tangential velocity cutoff and the subdwarf region of the H-R diagram to stars with parallaxes from Gaia Data Release 1 and the MEarth Project to identify a total of 29 new nearby subdwarf candidates that fall clearly below the main sequence.\n",
       "  ***  \n",
       "\n",
@@ -661,15 +659,15 @@
       "Detection of transiting exoplanets around young stars is more difficult than for older systems owing to increased stellar variability. Nine young open cluster planets have been found in the K2 data, but no single analysis pipeline identified all planets. We have developed a transit search pipeline for young stars that uses a transit-shaped notch and quadratic continuum in a 12 or 24 hr window to fit both the stellar variability and the presence of a transit. In addition, for the most rapid rotators (P_rot_<2 days) we model the variability using a linear combination of observed rotations of each star. To maximally exploit our new pipeline, we update the membership for four stellar populations observed by K2 (Upper Scorpius, Pleiades, Hyades, Praesepe) and conduct a uniform search of the members. We identify all known transiting exoplanets in the clusters, 17 eclipsing binaries, one transiting planet candidate orbiting a potential Pleiades member, and three orbiting unlikely members of the young clusters. Limited injection recovery testing on the known planet hosts indicates that for the older Praesepe systems we are sensitive to additional exoplanets as small as 1-2 R_{Earth}_, and for the larger Upper Scorpius planet host (K2-33) our pipeline is sensitive to ~4 R_{Earth}_ transiting planets. The lack of detected multiple systems in the young clusters is consistent with the expected frequency from the original Kepler sample, within our detection limits. With a robust pipeline that detects all known planets in the young clusters, occurrence rate testing at young ages is now possible.\n",
       "  ***  \n",
       "\n",
-      "['Rebull L.M.', ' Stauffer J.R.', ' Cody A.M.', ' Hillenbrand L.A.', ' David T.J.', ' Pinsonneault M.']\n",
+      "['Rebull L.M.', ' Stauffer J.R.', ' Cody A.M.', ' Hillenbrand L.A.', ' David T.J.,Pinsonneault M.']\n",
       "We present an analysis of K2 light curves (LCs) for candidate members of the young Upper Sco (USco) association (~8 Myr) and the neighboring {rho} Oph embedded cluster (~1 Myr). We establish ~1300 stars as probable members, ~80% of which are periodic. The phased LCs have a variety of shapes which can be attributed to physical causes ranging from stellar pulsation and stellar rotation to disk-related phenomena. We identify and discuss a number of observed behaviors. The periods are ~0.2-30 days with a peak near 2 days and the rapid period end nearing breakup velocity. M stars in the young USco region rotate systematically faster than GK stars, a pattern also present in K2 data for the older Pleiades and Praesepe systems. At higher masses (types FGK), the well-defined period-color relationship for slowly rotating stars seen in the Pleiades and Praesepe systems is not yet present in USco. Circumstellar disks are present predominantly among the more slowly rotating M stars in USco, with few disks in the subday rotators. However, M dwarfs with disks rotate faster on average than FGK systems with disks. For four of these disked M dwarfs, we provide direct evidence for disk locking based on the K2 LC morphologies. Our preliminary analysis shows a relatively mass-independent spin-up by a factor of ~3.5 between USco and the Pleiades, then mass-dependent spin-down between Pleiades and Praesepe.\n",
       "  ***  \n",
       "\n",
-      "['Hillenbrand L.A.', ' Zhang C.', ' Riddle R.L.', ' Baranec C.', ' Ziegler C.', ' Law N.M.', ' Stauffer J.']\n",
+      "['Hillenbrand L.A.', ' Zhang C.', ' Riddle R.L.', ' Baranec C.', ' Ziegler C.', ' Law N.M.,Stauffer J.']\n",
       "We identify and roughly characterize 66 candidate binary star systems in the Pleiades, Praesepe, and NGC 2264 star clusters, based on robotic adaptive optics imaging data obtained using Robo-AO at the Palomar 60\" telescope. Only ~10% of our imaged pairs were previously known. We detect companions at red optical wavelengths, with physical separations ranging from a few tens to a few thousands of au. A three-sigma contrast curve generated for each final image provides upper limits to the brightness ratios for any undetected putative companions. The observations are sensitive to companions with a maximum contrast of ~6^m^ at larger separations. At smaller separations, the mean (best) raw contrast at 2\" is 3.8^m^ (6^m^), at 1\" is 3.0^m^ (4.5^m^), and at 0.5\" is 1.9^m^ (3^m^). Point-spread function subtraction can recover nearly the full contrast in the closer separations. For detected candidate binary pairs, we report separations, position angles, and relative magnitudes. Theoretical isochrones appropriate to the Pleiades and Praesepe clusters are then used to determine the corresponding binary mass ratios, which range from 0.2 to 0.9 in q=m_2_/m_1_. For our sample of roughly solar-mass (FGK type) stars in NGC 2264 and sub-solar-mass (K and early M-type) primaries in the Pleiades and Praesepe, the overall binary frequency is measured at ~15.5%+/-2%. However, this value should be considered a lower limit to the true binary fraction within the specified separation and mass ratio ranges in these clusters, given that complex and uncertain corrections for sensitivity and completeness have not been applied.\n",
       "  ***  \n",
       "\n",
-      "['Anthony-Twarog B.J.', ' Deliyannis C.P.', ' Harmer D.', ' Lee-Brown D.B.', ' Steinhauer A.', ' Sun Q.', ' Twarog B.A.']\n",
+      "['Anthony-Twarog B.J.', ' Deliyannis C.P.', ' Harmer D.', ' Lee-Brown D.B.,Steinhauer A.', ' Sun Q.', ' Twarog B.A.']\n",
       "Hydra spectra of 85 G-K dwarfs in the young cluster M35 near the Li 6708 {AA} line region are analyzed. From velocities and Gaia astrometry, 78 are likely single-star members that, combined with previous work, produce 108 members with T_eff_ ranging from 6150 to 4000 K as defined by multicolor, broadband photometry, E(B-V)=0.20, and [Fe/H]=-0.15, though there are indications the metallicity may be closer to solar. The Lithium abundance A(Li) follows a well-delineated decline from 3.15 for the hottest stars to upper limits =<1.0 among the coolest dwarfs. Contrary to earlier work, M35 includes single stars at systematically higher A(Li) than the mean cluster relation. This subset exhibits higher V_ROT_ than the more Li-depleted sample and, from photometric rotation periods, is dominated by stars classed as convective (C); all others are interface (I) stars. The cool, high-Li rapid rotators (RRs) are consistent with models that simultaneously consider rapid rotation and radius inflation; RRs hotter than the Sun exhibit excess Li depletion, as predicted by the models. The A(Li) distribution with color and rotation period, when compared to the Hyades/Praesepe and the Pleiades, is consistent with gyrochronological analysis placing M35's age between the older M34 and younger Pleiades. However, the Pleiades display a more excessive range in A(Li) and rotation period than M35 on the low-Li, slow-rotation side of the distribution, with supposedly younger stars at a given T_eff_ in the Pleiades spinning slower, with A(Li) reduced by more than a factor of four compared to M35.\n",
       "  ***  \n",
       "\n",
@@ -677,11 +675,15 @@
       "Pisces-Eridanus (Psc-Eri), a nearby (d~80-226 pc) stellar stream stretching across ~120{deg} of the sky, was recently discovered with Gaia data. The stream was claimed to be ~1 Gyr old, which would make it an exceptional discovery for stellar astrophysics, as star clusters of that age are rare and tend to be distant, limiting their utility as benchmark samples. We test this old age for Psc-Eri in two ways. First, we compare the rotation periods for 101 low-mass members (measured using time-series photometry from the Transiting Exoplanet Survey Satellite) to those of well-studied open clusters. Second, we identify 34 new high-mass candidate members, including the notable stars {lambda} Tauri (an Algol-type eclipsing binary) and HD 1160 (host to a directly imaged object near the hydrogen-burning limit). We conduct an isochronal analysis of the color-magnitude data for these highest-mass members, again comparing our results to those for open clusters. Both analyses show that the stream has an age consistent with that of the Pleiades, i.e., ~120 Myr. This makes the Psc-Eri stream an exciting source of young benchmarkable stars and, potentially, exoplanets located in a more diffuse environment that is distinct from that of the Pleiades and of other dense star clusters.\n",
       "  ***  \n",
       "\n",
-      "['Rebull L.M.', ' Stauffer J.R.', ' Cody A.M.', ' Hillenbrand L.A.', ' Bouvier J.', ' Roggero N.', ' David T.J.']\n",
+      "['Rebull L.M.', ' Stauffer J.R.', ' Cody A.M.', ' Hillenbrand L.A.', ' Bouvier J.,Roggero N.', ' David T.J.']\n",
       "We present an analysis of K2 light curves (LCs) from Campaigns 4 and 13 for members of the young (~3Myr) Taurus association, in addition to an older (~30Myr) population of stars that is largely in the foreground of the Taurus molecular clouds. Out of 156 of the highest-confidence Taurus members, we find that 81% are periodic. Our sample of young foreground stars is biased and incomplete, but nearly all stars (37/38) are periodic. The overall distribution of rotation rates as a function of color (a proxy for mass) is similar to that found in other clusters: the slowest rotators are among the early M spectral types, with faster rotation toward both earlier FGK and later M types. The relationship between period and color/mass exhibited by older clusters such as the Pleiades is already in place by Taurus age. The foreground population has very few stars but is consistent with the USco and Pleiades period distributions. As found in other young clusters, stars with disks rotate on average slower, and few with disks are found rotating faster than ~2days. The overall amplitude of the LCs decreases with age, and higher-mass stars have generally lower amplitudes than lower-mass stars. Stars with disks have on average larger amplitudes than stars without disks, though the physical mechanisms driving the variability and the resulting LC morphologies are also different between these two classes.\n",
       "  ***  \n",
       "\n",
-      "['Micela G.', ' Sciortino S.', ' Vaiana G.S.', ' Harnden F.R.', ' Rosner R.', ' Schmitt J.H.M.M.']\n",
+      "['Boyle A.W.', ' Bouma L.G.']\n",
+      "On the pre-main sequence, the rotation rates of Sun-like stars are dictated by the interplay between the protostellar disk and the star's contraction. At ages exceeding 100Myr, magnetic spindown erases the initial stellar spin rate and enables rotation-based age dating (gyrochronology). The exact time at which the transition between these two regimes occurs depends on stellar mass, and has been challenging to empirically resolve due to a lack of viable calibration clusters. The {alpha}Persei open cluster (t~80Myr, d~170pc) may provide the needed calibrator, but recent analyses of the Gaia data have provided wildly varying views of its age and spatial extent. As such, we analyze a combination of TESS, Gaia, and LAMOST data to calibrate gyrochronology at the age of {alpha}Per and to uncover the cluster's true morphology. By assembling a list of rotationally confirmed {alpha}Per members, we provide strong evidence that {alpha}Per is part of a larger complex of similarly aged stars. Through kinematic back-integration, we show that the most diffuse components of {alpha}Per were five times closer together 50Myr ago. Finally, we use our stellar rotation periods to derive a relative gyrochronology age for {alpha}Per of 67%{+/-}12% the age of the Pleiades, which yields 86{+/-}16Myr given current knowledge. We show that by this age, stars more massive than ~0.8M{sun} have converged to form a well-defined slow sequence.\n",
+      "  ***  \n",
+      "\n",
+      "['Micela G.', ' Sciortino S.', ' Vaiana G.S.', ' Harnden F.R.', ' Rosner R.,Schmitt J.H.M.M.']\n",
       "Coronal X-ray emission of the Pleiades stars is investigated, and maximum likelihood, integral X-ray luminosity functions are computed for Pleiades members in selected color-index ranges. A detailed search is conducted for long-term variability in the X-ray emission of those stars observed more than once. An overall comparison of the survey results with those of previous surveys confirms the ubiquity of X-ray emission in the Pleiades cluster stars and its higher rate of emission with respect to older stars. It is found that the X-ray emission from dA and early dF stars cannot be proven to be dissimilar to that of Hyades and field stars of the same spectral type. The Pleiades cluster members show a real rise of the X-ray luminosity from dA stars to early dF stars. X-ray emission for the young, solar-like Pleiades stars is about two orders of magnitude more intense than for the nearby solar-like stars.\n",
       "  ***  \n",
       "\n",
@@ -693,23 +695,23 @@
       "We present the results of a five month photometric time-series survey for stellar rotation over a 40'x40' field centered on the 150Myr open cluster M35 (=NGC 2168). We report rotation periods for 441 stars within this field and determine their cluster membership and binarity based on a decade-long radial velocity survey, proper-motion measurements, and multiband photometric observations. We find that 310 of the stars with measured rotation periods are late-type members of M35. The distribution of rotation periods for cluster members span more than 2 orders of magnitude from ~0.1 to 15 days, not constrained by the sampling frequency and the timespan of the survey. With an age between the zero-age main sequence and the Hyades, and with ~6 times more rotation periods than measured in the Pleiades, M35 permit detailed studies of early rotational evolution of late-type stars. Nearly 80% of the 310 rotators lie on two distinct sequences in the color-period plane, and define clear relations between stellar rotation period and color (mass). The M35 color-period diagram enables us to determine timescales for the transition between the two rotational states, of ~60Myr and ~140Myr for G and K dwarfs, respectively.\n",
       "  ***  \n",
       "\n",
-      "['Cottaar M.', ' Covey K.R.', ' Meyer M.R.', ' Nidever D.L.', ' Stassun K.G.', ' Foster J.B.', ' Tan J.C.', ' Chojnowski S.D.', ' da Rio N.', ' Flaherty K.M.', ' Frinchaboy P.M.', ' Skrutskie M.', ' Majewski S.R.', ' Wilson J.C.', ' Zasowski G.']\n",
+      "['Cottaar M.', ' Covey K.R.', ' Meyer M.R.', ' Nidever D.L.', ' Stassun K.G.,Foster J.B.', ' Tan J.C.', ' Chojnowski S.D.', ' da Rio N.', ' Flaherty K.M.,Frinchaboy P.M.', ' Skrutskie M.', ' Majewski S.R.', ' Wilson J.C.', ' Zasowski G.']\n",
       "Over two years, 8859 high-resolution H-band spectra of 3493 young (1-10Myr) stars were gathered by the multi-object spectrograph of the APOGEE project as part of the IN-SYNC ancillary program of the SDSS-III survey. Here we present the forward modeling approach used to derive effective temperatures, surface gravities, radial velocities, rotational velocities, and H-band veiling from these near-infrared spectra. We discuss in detail the statistical and systematic uncertainties in these stellar parameters. In addition, we present accurate extinctions by measuring the E(J-H) of these young stars with respect to the single-star photometric locus in the Pleiades. Finally, we identify an intrinsic stellar radius spread of about 25% for late-type stars in IC 348 using three (nearly) independent measures of stellar radius, namely, the extinction-corrected J-band magnitude, the surface gravity, and the Rsini from the rotational velocities and literature rotation periods. We exclude that this spread is caused by uncertainties in the stellar parameters by showing that the three estimators of stellar radius are correlated, so that brighter stars tend to have lower surface gravities and larger Rsini than fainter stars at the same effective temperature.\n",
       "  ***  \n",
       "\n",
-      "['Meng H.Y.A.', ' Su K.Y.L.', ' Rieke G.H.', ' Rujopakarn W.', ' Myers G.', ' Cook M.', ' Erdelyi E.', ' Maloney C.', ' McMath J.', ' Persha G.', ' Poshyachinda S.', ' Reichart D.E.']\n",
+      "['Meng H.Y.A.', ' Su K.Y.L.', ' Rieke G.H.', ' Rujopakarn W.', ' Myers G.', ' Cook M.,Erdelyi E.', ' Maloney C.', ' McMath J.', ' Persha G.', ' Poshyachinda S.,Reichart D.E.']\n",
       "Luminous debris disks of warm dust in the terrestrial planet zones around solar-like stars were recently found to vary, which is indicative of ongoing large-scale collisions of rocky objects. We use Spitzer 3.6 and 4.5um time-series observations in 2012 and 2013 (extended to 2014 in one case) to monitor five more debris disks with unusually high fractional luminosities (\"extreme debris disk\"), including P1121 in the open cluster M47 (80 Myr), HD15407A in the AB Dor moving group (80Myr), HD 23514 in the Pleiades (120Myr), HD145263 in the Upper Sco Association (10Myr), and the field star BD+20 307 (>~1Gyr). Together with the published results for ID8 in NGC2547 (35Myr), this makes the first systematic time-domain investigation of planetary impacts outside the solar system. Significant variations with timescales shorter than a year are detected in five out of the six extreme debris disks we monitored. However, different systems show diverse sets of characteristics in the time domain, including long-term decay or growth, disk temperature variations, and possible periodicity.\n",
       "  ***  \n",
       "\n",
-      "['Covey K.R.', ' Agueros M.A.', ' Law N.M.', ' Liu J.', ' Ahmadi A.', ' Laher R.', ' Levitan D.', ' Sesar B.', ' Surace J.']\n",
+      "['Covey K.R.', ' Agueros M.A.', ' Law N.M.', ' Liu J.', ' Ahmadi A.', ' Laher R.,Levitan D.', ' Sesar B.', ' Surace J.']\n",
       "Stellar rotation periods (P_rot_) measured in open clusters have proved to be extremely useful for studying stars' angular momentum content and rotationally driven magnetic activity, which are both age- and mass-dependent processes. While P_rot_ measurements have been obtained for hundreds of solar-mass members of the Pleiades, measurements exist for only a few low-mass (<0.5 M_{sun}_) members of this key laboratory for stellar evolution theory. To fill this gap, we report P_rot_ for 132 low-mass Pleiades members (including nearly 100 with M=<0.45 M_{sun}_), measured from photometric monitoring of the cluster conducted by the Palomar Transient Factory in late 2011 and early 2012. These periods extend the portrait of stellar rotation at 125 Myr to the lowest-mass stars and re-establish the Pleiades as a key benchmark for models of the transport and evolution of stellar angular momentum. Combining our new P_rot_ with precise BVIJHK photometry reported by Stauffer et al. (2007, J/ApJS/172/663) and Kamai et al. (2014, J/AJ/148/30), we investigate known anomalies in the photometric properties of K and M Pleiades members. We confirm the correlation detected by Kamai et al. between a star's P_rot_ and position relative to the main sequence in the cluster's color-magnitude diagram. We find that rapid rotators have redder (V-K) colors than slower rotators at the same V, indicating that rapid and slow rotators have different binary frequencies and/or photospheric properties. We find no difference in the photometric amplitudes of rapid and slow rotators, indicating that asymmetries in the longitudinal distribution of starspots do not scale grossly with rotation rate.\n",
       "  ***  \n",
       "\n",
-      "['Rebull L.M.', ' Stauffer J.R.', ' Hillenbrand L.A.', ' Cody A.M.', ' Bouvier J.', ' Soderblom D.R.', ' Pinsonneault M.', ' Hebb L.']\n",
+      "['Rebull L.M.', ' Stauffer J.R.', ' Hillenbrand L.A.', ' Cody A.M.', ' Bouvier J.,Soderblom D.R.', ' Pinsonneault M.', ' Hebb L.']\n",
       "We have Fourier-analyzed 941 K2 light curves (LCs) of likely members of Praesepe, measuring periods for 86% and increasing the number of rotation periods (P) by nearly a factor of four. The distribution of P versus (V-Ks), a mass proxy, has three different regimes: (V-Ks)<1.3, where the rotation rate rapidly slows as mass decreases; 1.3<(V-Ks)<4.5, where the rotation rate slows more gradually as mass decreases; and (V-Ks)>4.5, where the rotation rate rapidly increases as mass decreases. In this last regime, there is a bimodal distribution of periods, with few between ~2 and ~10 days. We interpret this to mean that once M stars start to slow down, they do so rapidly. The K2 period-color distribution in Praesepe (~790Myr) is much different than that in the Pleiades (~125Myr) for late F, G, K, and early-M stars; the overall distribution moves to longer periods and is better described by two line segments. For mid-M stars, the relationship has a similarly broad scatter and is steeper in Praesepe. The diversity of LCs and of periodogram types is similar in the two clusters; about a quarter of the periodic stars in both clusters have multiple significant periods. Multi- periodic stars dominate among the higher masses, starting at a bluer color in Praesepe ((V-Ks)~1.5) than in the Pleiades ((V-Ks)~2.6). In Praesepe, there are relatively more LCs that have two widely separated periods, {Delta}P>6days. Some of these could be examples of M star binaries where one star has spun down but the other has not.\n",
       "  ***  \n",
       "\n",
-      "['Zhang Z.', ' Liu M.C.', ' Best W.M.J.', ' Magnier E.A.', ' Aller K.M.', ' Chambers K.C.', ' Draper P.W.', ' Flewelling H.', ' Hodapp K.W.', ' Kaiser N.', ' Kudritzki R.-P.', ' Metcalfe N.', ' Wainscoat R.J.', ' Waters C.']\n",
+      "['Zhang Z.', ' Liu M.C.', ' Best W.M.J.', ' Magnier E.A.', ' Aller K.M.', ' Chambers K.C.,Draper P.W.', ' Flewelling H.', ' Hodapp K.W.', ' Kaiser N.', ' Kudritzki R.-P.,Metcalfe N.', ' Wainscoat R.J.', ' Waters C.']\n",
       "We are conducting a proper-motion survey for young brown dwarfs in the Taurus-Auriga molecular cloud based on the Pan-STARRS1 3{pi} Survey. Our search uses multi-band photometry and astrometry to select candidates, and is wider (370deg^2^) and deeper (down to ~3M_Jup_) than previous searches. We present here our search methods and spectroscopic follow-up of our high-priority candidates. Since extinction complicates spectral classification, we have developed a new approach using low-resolution (R~100) near-infrared spectra to quantify reddening-free spectral types, extinctions, and gravity classifications for mid-M to late-L ultracool dwarfs (<=100-3M_Jup_ in Taurus). We have discovered 25 low-gravity (VL-G) and the first 11 intermediate-gravity (INT-G) substellar (M6-L1) members of Taurus, constituting the largest single increase of Taurus brown dwarfs to date. We have also discovered 1 new Pleiades member and 13 new members of the Perseus OB2 association, including a candidate very wide separation (58kau) binary. We homogeneously reclassify the spectral types and extinctions of all previously known Taurus brown dwarfs. Altogether our discoveries have thus far increased the substellar census in Taurus by ~40% and added three more L-type members (<~5-10M_Jup_). Most notably, our discoveries reveal an older (>10Myr) low-mass population in Taurus, in accord with recent studies of the higher-mass stellar members. The mass function appears to differ between the younger and older Taurus populations, possibly due to incompleteness of the older stellar members or different star formation processes.\n",
       "  ***  \n",
       "\n",
@@ -734,10 +736,10 @@
       "  ***  \n",
       "\n",
       "['Micela G.', ' Sciortino S.', ' Kashyap V.', ' Harnden F.R.', ' Rosner R.']\n",
-      "Of 214 stars in the core of the Pleiades, 99 were detected in X-rays with the ROSAT PSPC. This catalog lists the characteristics of the stars taken from the literature, in table1.dat and the rotational and X-ray characteristics in table5.dat.\n",
+      "Of 214 stars in the core of the Pleiades, 99 were detected in X-rays with the ROSAT PSPC. This catalog lists the characteristics of the stars taken from the literature, in table1.dat and the rotational and X-ray characteristics in table5.dat. Introduction: The nucleus of the composite catalog used in this study is the catalog compiled from the published literature for the Einstein investigations of the Pleiades (Micela et al. 1990). This list has been extended by the results of recent surveys to a completeness limit of visual magnitude about 18.\n",
       "  ***  \n",
       "\n",
-      "['Stauffer J.R.', ' Hartmann L.W.', ' Fazio G.G.', ' Allen L.E.', ' Patten B.M.', ' Lowrance P.J.', ' Hurt R.L.', ' Rebull L.M.', ' Cutri R.M.', ' Ramirez S.V.', ' Young E.T.', ' Rieke G.H.', ' Gorlova N.I.', ' Muzerolle J.C.', ' Slesnick C.L.', ' Skrutskie M.F.']\n",
+      "['Stauffer J.R.', ' Hartmann L.W.', ' Fazio G.G.', ' Allen L.E.', ' Patten B.M.,Lowrance P.J.', ' Hurt R.L.', ' Rebull L.M.', ' Cutri R.M.', ' Ramirez S.V.,Young E.T.', ' Rieke G.H.', ' Gorlova N.I.', ' Muzerolle J.C.', ' Slesnick C.L.,Skrutskie M.F.']\n",
       "We make use of new near- and mid-IR photometry of the Pleiades cluster in order to help identify proposed cluster members. We also use the new photometry with previously published photometry to define the single-star main-sequence locus at the age of the Pleiades in a variety of color-magnitude planes. The new near- and mid-IR photometry extend effectively 2 mag deeper than the 2MASS All-Sky Point Source catalog, and hence allow us to select a new set of candidate very low-mass and substellar mass members of the Pleiades in the central square degree of the cluster. We identify 42 new candidate members fainter than K_s_=14 (corresponding to 0.1M_{sun}_). These candidate members should eventually allow a better estimate of the cluster mass function to be made down to of order 0.04M_{sun}_. We also use new IRAC data, in particular the images obtained at 8um, in order to comment briefly on interstellar dust in and near the Pleiades.\n",
       "  ***  \n",
       "\n",
@@ -749,7 +751,7 @@
       "A colour magnitude diagram to V=20 is given for 395 stars in the heavily reddened open cluster NGC 6649. The absorption-corrected distance modulus is 11.00+/-0.15mag (1585+/-110pc) assuming R(OB)=3.27+/-0.10 for NGC 6649 and based on a ZAMS with zero point referenced to a Pleiades distance modulus of 5.56mag. The range of reddening over the 5arcmin diameter of the cluster is {DELTA}E(B-V)=0.3mag. NGC 6649 contains the double mode Cepheid V367 Sct, which has <M_V_>=-3.80+/-0.06 and <B_0_>-<V_0_>=0.58+/-0.02.\n",
       "  ***  \n",
       "\n",
-      "['Pinfield D.J.', ' Hodgkin S.T.', ' Jameson R.F.', ' Cossburn M.R.', ' Hambly N.C.', ' Devereux N.']\n",
+      "['Pinfield D.J.', ' Hodgkin S.T.', ' Jameson R.F.', ' Cossburn M.R.', ' Hambly N.C.,Devereux N.']\n",
       "We present the results of a six-square-degree Pleiades survey in I and Z, which is photometrically complete to approximately I_KP_=19.2mag (I_C_=19.6 in the Pleiades). We remove non-cluster contamination on the basis of proper motions and infrared photometry, and present 339 candidate cluster members, 30 of which are fainter than I_KP_=17.5, and are thus strong brown-dwarf candidates.\n",
       "  ***  \n",
       "\n",
@@ -757,7 +759,7 @@
       "We have developed the techniques required to use Naylor's optimal photometry algorithm of to create colour-magnitude diagrams with well-defined completeness functions. To achieve this we first demonstrate that the optimal extraction is insensitive to uncertainties in the measured position of the star. We then show how to correct the optimally extracted fluxes such that they correspond to those measured in a large aperture, so aperture photometry of standard stars can be used to place the measurements on a standard system. The technique simultaneously removes the effects of a position-dependent point spread function. Finally, we develop a method called 'ghosting', which calculates the completeness corrections in the absence of an accurate description of the point spread function. We apply these techniques to the young cluster NGC 2547 (=C0809-491), and use an X-ray-selected sample to find an age of 20-35Myr and an intrinsic distance modulus of 8.00-8.15mag. We use these isochrones to select members from our photometric surveys. Our derived luminosity function shows a well-defined Wielen dip, making NGC 2547 the youngest cluster in which such a feature has been observed. Our derived mass function spans the range 0.1-6M_{sun}_ and is similar to that for the field and the older, more massive clusters M35 and the Pleiades, supporting the idea of a universal initial mass function.\n",
       "  ***  \n",
       "\n",
-      "['Pinfield D.J.', ' Dobbie P.D.', ' Jameson R.F.', ' Steele I.A.', ' Jones H.R.A.', ' Katsiyannis A.C.']\n",
+      "['Pinfield D.J.', ' Dobbie P.D.', ' Jameson R.F.', ' Steele I.A.', ' Jones H.R.A.,Katsiyannis A.C.']\n",
       "We present near-infrared J-, H- and K-band photometry and optical spectroscopy of low-mass star and brown dwarf (BD) candidates in the Pleiades and Praesepe open clusters. We flag non-members from their position in K, I-K and J, J-K colour-magnitude diagrams (CMDs), and J-H, H-K two-colour diagrams.\n",
       "  ***  \n",
       "\n",
@@ -781,7 +783,7 @@
       "Rotation periods from Kepler K2 are combined with projected rotation velocities from the WIYN 3.5m telescope to determine projected radii for fast-rotating, low-mass (0.1<=M/M_{sun}_<=0.6) members of the Praesepe cluster. A maximum likelihood analysis that accounts for observational uncertainties, binarity, and censored data yields marginal evidence for radius inflation - the average radius of these stars is 6+/-4 per cent larger at a given luminosity than predicted by commonly used evolutionary models. This overradius is smaller (at 2{sigma} confidence) than was found for similar stars in the younger Pleiades using a similar analysis; any decline appears due to changes occurring in higher mass (>0.25M_{sun}_) stars. Models incorporating magnetic inhibition of convection predict an overradius, but do not reproduce this mass dependence unless superequipartition surface magnetic fields are present at lower masses. Models incorporating flux blocking by starspots can explain the mass dependence but there is no evidence that spot coverage diminishes between the Pleiades and Praesepe samples to accompany the decline in overradius. The fastest rotating stars in both Praesepe and the Pleiades are significantly smaller than the slowest rotators for which a projected radius can be measured. This may be a selection effect caused by more efficient angular momentum loss in larger stars leading to their progressive exclusion from the analysed samples. Our analyses assume random spin-axis orientations; any alignment in Praesepe, as suggested by Kovacs, is strongly disfavoured by the broad distribution of projected radii.\n",
       "  ***  \n",
       "\n",
-      "['Gillen E.', ' Briegal J.T.', ' Hodgkin S.T.', ' Foreman-Mackey D.', ' Van Leeuwen F.', ' Jackman J.A.G.', ' McCormac J.', ' West R.G.', ' Queloz D.', ' Bayliss D.', ' Goad M.R.', ' Watson C.A.', ' Wheatley P.J.', ' Belardi C.', ' Burleigh M.R.', ' Casewell S.L.', ' Jenkins J.S.', ' Raynard L.', ' Smith A.M.S.', ' Tilbrook R.H.', ' Vines J.I.']\n",
+      "['Gillen E.', ' Briegal J.T.', ' Hodgkin S.T.', ' Foreman-Mackey D.', ' Van Leeuwen F.,Jackman J.A.G.', ' McCormac J.', ' West R.G.', ' Queloz D.', ' Bayliss D.', ' Goad M.R.,Watson C.A.', ' Wheatley P.J.', ' Belardi C.', ' Burleigh M.R.', ' Casewell S.L.,Jenkins J.S.', ' Raynard L.', ' Smith A.M.S.', ' Tilbrook R.H.', ' Vines J.I.']\n",
       "We determine rotation periods for 127 stars in the ~115-Myr-old Blanco 1 open cluster using ~200d of photometric monitoring with the Next Generation Transit Survey. These stars span F5-M3 spectral types (1.2M_{sun}_>~M>~0.3M_{sun}_) and increase the number of known rotation periods in Blanco 1 by a factor of four. We determine rotation periods using three methods: Gaussian process (GP) regression, generalized autocorrelation function (G-ACF), and Lomb-Scargle (LS) periodogram, and find that the GP and G-ACF methods are more applicable to evolving spot modulation patterns. Between mid-F and mid-K spectral types, single stars follow a well-defined rotation sequence from ~2 to 10d, whereas stars in photometric multiple systems typically rotate faster. This may suggest that the presence of a moderate-to-high mass ratio companion inhibits angular momentum loss mechanisms during the early pre-main sequence, and this signature has not been erased at ~100Myr. The majority of mid-F to mid-K stars display evolving modulation patterns, whereas most M stars show stable modulation signals. This morphological change coincides with the shift from a well-defined rotation sequence (mid-F to mid-K stars) to a broad rotation period distribution (late-K and M stars). Finally, we compare our rotation results for Blanco 1 to the similarly aged Pleiades: the single-star populations in both clusters possess consistent rotation period distributions, which suggests that the angular momentum evolution of stars follows a well-defined pathway that is, at least for mid-F to mid-K stars, strongly imprinted by ~100Myr.\n",
       "  ***  \n",
       "\n",
@@ -793,7 +795,7 @@
       "Selecting the best quality data, I find that nearly all 0.5 to 1.2M_{sun}_ main sequence stars converge to a single rotational mass dependent sequence after 750Myr; when the mass is larger than 0.8M_{sun}_, most of them converge in ~120Myr. If stars rotate as rigid bodies, the angular momentum of the vast majority is within clearly outlined bounds. The lower boundary defines a terminal main sequence rotational isochrone, the upper one coincides with slow rotators from the Pleiades and stars from Praesepe delineate a third one. Mass dependent exponential relationships between angular momentum and age are determined from these isochrones. Age estimates based on the angular momentum, are acceptable in middle aged stars older than 750Myr and more massive than 0.6-0.7M_{sun}_. The evolution of the Rossby number indicates that the Parker dynamo may cease early on in stars where M/M_{sun}_>=1.1. An empirical formula for the torque, an idealized model for it and a relation between rotational period and magnetic field, lead to a formula for the evolution of the mass loss rate, predicting that the present solar rate is close to a minimum and that it was around five times more vigorous when life on Earth started.\n",
       "  ***  \n",
       "\n",
-      "['Konishi M.', ' Matsuo T.', ' Yamamoto K.', ' Samland M.', ' Sudo J.', ' Shibai H.', ' Itoh Y.', ' Fukagawa M.', ' Sumi T.', ' Kudo T.', ' Hashimoto J.', ' Kuzuhara M.', ' Kusakabe N.', ' Abe L.', ' Akiyama E.', ' Brandner W.', ' Brandt T.D.', ' Carson J.C.', ' Feldt M.', ' Goto M.', ' Grady C.A.', ' Guyon O.', ' Hayano Y.', ' Hayashi M.', ' Hayashi S.S.', ' Henning T.', ' Hodapp K.W.', ' Ishii M.', ' Iye M.', ' Janson M.', ' Kandori R.', ' Knapp G.R.', ' Kwon J.', ' McElwain M.W.', ' Mede K.', ' Miyama S.', ' Morino J.-I.', ' Moro-Martin A.', ' Ishimura T.', ' Oh D.', ' Pyo T.-S.', ' Serabyn E.', ' Schlieder J.E.', ' Suenaga T.', ' Suto H.', ' Suzuki R.', ' Takahashi Y.H.', ' Takami M.', ' Takato N.', ' Terada H.', ' Thalmann C.', ' Turner E.L.', ' Watanabe M.', ' Wisniewski J.P.', ' Yamada T.', ' Takami H.', ' Usuda T.', ' Tamura M.']\n",
+      "['Konishi M.', ' Matsuo T.', ' Yamamoto K.', ' Samland M.', ' Sudo J.', ' Shibai H.,Itoh Y.', ' Fukagawa M.', ' Sumi T.', ' Kudo T.', ' Hashimoto J.', ' Kuzuhara M.,Kusakabe N.', ' Abe L.', ' Akiyama E.', ' Brandner W.', ' Brandt T.D.', ' Carson J.C.,Feldt M.', ' Goto M.', ' Grady C.A.', ' Guyon O.', ' Hayano Y.', ' Hayashi M.,Hayashi S.S.', ' Henning T.', ' Hodapp K.W.', ' Ishii M.', ' Iye M.', ' Janson M.,Kandori R.', ' Knapp G.R.', ' Kwon J.', ' McElwain M.W.', ' Mede K.', ' Miyama S.,Morino J.-I.', ' Moro-Martin A.', ' Ishimura T.', ' Oh D.', ' Pyo T.-S.', ' Serabyn E.,Schlieder J.E.', ' Suenaga T.', ' Suto H.', ' Suzuki R.', ' Takahashi Y.H.', ' Takami M.,Takato N.', ' Terada H.', ' Thalmann C.', ' Turner E.L.', ' Watanabe M.,Wisniewski J.P.', ' Yamada T.', ' Takami H.', ' Usuda T.', ' Tamura M.']\n",
       "We find a new substellar companion to the Pleiades member star, Pleiades HII 3441, using the Subaru telescope with adaptive optics. The discovery is made as part of the high-contrast imaging survey to search for planetary-mass and substellar companions in the Pleiades and young moving groups. The companion has a projected separation of 0.49+/-0.02 (66+/-2au) and a mass of 68+/-5MJ based on three observations in the J-, H-, and Ks-bands. The spectral type is estimated to be M7 (~2700K), and thus no methane absorption is detected in the H band. Our Pleiades observations result in the detection of two substellar companions including one previously reported among 20 observed Pleiades stars, and indicate that the fraction of substellar companions in the Pleiades is about 10.0^+26.1^_-8.8_%. This is consistent with multiplicity studies of both the Pleiades stars and other open clusters.\n",
       "  ***  \n",
       "\n",
@@ -801,24 +803,28 @@
       "We present the results from a photometric monitoring program of primarily solar-type open cluster stars obtained during 1994 and 1995. Several members of the {alpha} Persei cluster have been monitored and the corresponding relation between coronal x-ray activity and rotation period derived. The relation among mid-G/K type members illustrates both the previously noticed downturn in L_X_/L_bol_ at high rotation rates and the sharp decrease in coronal activity at long rotation periods as seen among Pleiades stars. Intensive observation of one slowly rotating G-type member of IC 4665 has enabled a period determination of 8-10 days to be made and illustrates the need for (and limitations of) high quality observations.\n",
       "  ***  \n",
       "\n",
+      "['Prosser C.F.']\n",
+      "This catalog contains the tabulated results of a combined astrometric, photometric, and spectroscopic search for low-mass members in the intermediate-age open cluster Alpha Persei. It contains information on 132 new members and likely members, and 16 uncertain members of Alpha Per. The new membership information suggested to the author a revised age of the cluster to approximately 8x10+7yr. Tabulated data include AP number, VBI photometry, 1950 coordinates, relative proper motions with errors, H-alpha equivalent widths, and spectral type. Included are the individual membership determinations, based on H-alpha emission, spectral type, and echelle spectra data. The photometric data were obtained with the Lick Obs. 1-m Nickel Telescope using a TI 500x500 pixel CCD in B, V, and I bands. Low dispersion CCD spectra centered on H-alpha for candidates whose V-I photometry indicated likely membership using the Lick 1-m Nickel and 3-m Shane telescopes. High-dispersion echelle spectra were obtained for many bright candidates using the Hamilton echelle spectrographic with the Shane and Coude auxiliary telescopes. Introduction: van den Bergh & Sher (1960) found from studying several open clusters that in general the faint end of the cluster luminosity function decreased or remained constant down to the level of observation. If true, the observed cluster luminosity functions are unable to account for the luminosity function of nearby field stars which increases to faint magnitudes. One possible solution is that additional unidentified low-mass stars exist in most (or all) open clusters. Recent studies in the Hyades (Weis & Hanson 1988AJ.....96..148W, Griffin et al. 1988AJ.....96..172G, Stauffer 1982AJ.....87..899S), Pleiades (Stauffer et al. 1991AJ....101..980S, Prosser et al. 1991AJ....101.1361P), and Praesepe (Mermilliod et al. 1990A&A...235..114M, Jones & Stauffer 1991AJ....102.1080J) have identified faint candidate members. It is the aim of this study to determine the existence, and some of the properties, of the low-mass membership in the open cluster Alpha Persei. Alpha Per was chosen for study because of the limited information on low-mass membership, because it is nearby (which enables both proper motion analysis and observation of low-mass candidates), because no other clusters of the same relatively youthful age have been studied completely, and because of the existence of the photographic plate material needed for the proper motion analysis. After a brief review of the history and previous work in this cluster, the proper motion survey of this study is described. This is accompanied by a description of the CCD photometry and spectroscopy programs employed to aid in identifying cluster members. A review of current information on previous members and possible members is also given, followed by a section presenting the new members and candidate members found in this study. An analysis of some cluster properties including luminosity function, age, spatial distribution of members, reddening, H-alpha emission strengths, and rotational velocity distribution is presented. Finally, the last section provides a general review of the results found in Alpha Per.\n",
+      "  ***  \n",
+      "\n",
       "['Pillitteri et al.']\n",
-      "This table contains the results from a deep X-ray survey of the young (~ 140 Myr), rich open cluster NGC 2516 obtained with the EPIC camera on board the XMM-Newton satellite. By combining the data from six observations, a high sensitivity, greater than a factor of 5 with respect to recent Chandra observations, has been achieved. Kaplan-Meier estimators of the cumulative X-ray luminosity distribution, statistically corrected for non-member contaminants, were built by the authors and compared to those of the nearly coeval Pleiades cluster. 431 X-ray sources were detected, and 234 of them have as optical counterparts cluster stars spanning the entire NGC 2516 main sequence. On the basis of X-ray emission and optical photometry, 20 new candidate members of the cluster have been identified; at the same time there are 49 X-ray sources without known optical or infrared counterpart. The X-ray luminosities of cluster stars span the range log L&lt;sub&gt;x&lt;/sub&gt; (erg s&lt;sup&gt;-1&lt;/sup&gt;) = 28.4 - 30.8. The representative coronal temperatures span the 0.3 - 0.6 keV (3.5 - 8 MK) range for the cool component and 1.0 - 2.0 keV (12 - 23 MK) for the hot one; similar values were found in other young open clusters like the Pleiades, IC 2391, and Blanco 1. While no significant differences were found in their X-ray spectra, NGC 2516 solar-type stars are definitely less luminous in X-rays than their nearly coeval Pleiades counterparts. The comparison with a previous ROSAT survey reveals the lack of variability amplitudes larger than a factor of 2 in solar-type cluster stars in a ~ 11 yr time scale, and thus activity cycles like in the Sun are probably absent or have a different period and amplitude in young stars. NGC 2516 has been observed several times with XMM-Newton during the first two years of satellite operations for calibration purposes. The observations used in this analysis span a period of 19 months with exposure times between 10 and 20 ks. All of these observations have been performed with the thick filter. In the combined EPIC datasets the authors detected 431 X-ray sources with a significance level greater than 5.0 sigma, which should lead statistically to at most one spurious source in the field of view.\n",
+      "This table contains the results from a deep X-ray survey of the young (~ 140 Myr), rich open cluster NGC 2516 obtained with the EPIC camera on board the XMM-Newton satellite. By combining the data from six observations, a high sensitivity, greater than a factor of 5 with respect to recent Chandra observations, has been achieved. Kaplan-Meier estimators of the cumulative X-ray luminosity distribution, statistically corrected for non-member contaminants, were built by the authors and compared to those of the nearly coeval Pleiades cluster. 431 X-ray sources were detected, and 234 of them have as optical counterparts cluster stars spanning the entire NGC 2516 main sequence. On the basis of X-ray emission and optical photometry, 20 new candidate members of the cluster have been identified; at the same time there are 49 X-ray sources without known optical or infrared counterpart. The X-ray luminosities of cluster stars span the range log L&lt;sub&gt;x&lt;/sub&gt; (erg s&lt;sup&gt;-1&lt;/sup&gt;) = 28.4 - 30.8. The representative coronal temperatures span the 0.3 - 0.6 keV (3.5 - 8 MK) range for the cool component and 1.0 - 2.0 keV (12 - 23 MK) for the hot one; similar values were found in other young open clusters like the Pleiades, IC 2391, and Blanco 1. While no significant differences were found in their X-ray spectra, NGC 2516 solar-type stars are definitely less luminous in X-rays than their nearly coeval Pleiades counterparts. The comparison with a previous ROSAT survey reveals the lack of variability amplitudes larger than a factor of 2 in solar-type cluster stars in a ~ 11 yr time scale, and thus activity cycles like in the Sun are probably absent or have a different period and amplitude in young stars. NGC 2516 has been observed several times with XMM-Newton during the first two years of satellite operations for calibration purposes. The observations used in this analysis span a period of 19 months with exposure times between 10 and 20 ks. All of these observations have been performed with the thick filter. In the combined EPIC datasets the authors detected 431 X-ray sources with a significance level greater than 5.0 sigma, which should lead statistically to at most one spurious source in the field of view. This table was created by the HEASARC in May 2007 based on &lt;a href=\"https://cdsarc.cds.unistra.fr/ftp/cats/J/A+A/450/993\"&gt;CDS catalog J/A+A/450/993&lt;/a&gt; files tablea1.dat and tableb1.dat. This is a service provided by NASA HEASARC .\n",
       "  ***  \n",
       "\n",
       "['Jeffries et al.']\n",
-      "This table contains a list of point sources detected by XMM-Newton EPIC in a pointing towards the young open cluster NGC 2547, made in order to allow the authors to characterize coronal activity in solar-type stars, and stars of lower mass, at an age of 30 Myr. X-ray emission was seen from stars at all spectral types, peaking among G stars at luminosities (0.3 - 3 keV) of L&lt;sub&gt;x&lt;/sub&gt; ~= 10&lt;sup&gt;30.5&lt;/sup&gt; erg/s and declining to L&lt;sub&gt;x&lt;/sub&gt; &lt;= 10&lt;sup&gt;29&lt;/sup&gt; erg/s among M stars with masses &gt;=0.2 solar masses. Coronal spectra show evidence for multi-temperature differential emission measures and low coronal metal abundances of Z~= 0.3. Most of the solar-type stars in NGC 2547 exhibit saturated or even supersaturated X-ray activity levels. The median levels of L&lt;sub&gt;x&lt;/sub&gt; and L&lt;sub&gt;x&lt;/sub&gt;/L&lt;sub&gt;bol&lt;/sub&gt; in the solar-type stars of NGC 2547 are very similar to those in T-Tauri stars of the Orion Nebula cluster (ONC), but an order of magnitude higher than in the older Pleiades. The spread in X-ray activity levels among solar-type stars in NGC 2547 is much smaller than in older or younger clusters. This table contains the properties of those X-ray sources which are correlated with optical cluster members (see Section 2.2 of the reference paper for details on the correlation procedure that was adopted), as well as the properties of those X-ray sources which are uncorrelated with any optical cluster members. The table lists the cross-identifications with optical catalogs for the candidate cluster sources along with their X-ray luminosities and X-ray to bolometric flux ratios, as well as the correlations between cluster members which were detected by XMM-Newton and those detected 7 years earlier by the ROSAT HRI instrument, along with the X-ray luminosities and flux ratios as determined by the HRI.\n",
+      "This table contains a list of point sources detected by XMM-Newton EPIC in a pointing towards the young open cluster NGC 2547, made in order to allow the authors to characterize coronal activity in solar-type stars, and stars of lower mass, at an age of 30 Myr. X-ray emission was seen from stars at all spectral types, peaking among G stars at luminosities (0.3 - 3 keV) of L&lt;sub&gt;x&lt;/sub&gt; ~= 10&lt;sup&gt;30.5&lt;/sup&gt; erg/s and declining to L&lt;sub&gt;x&lt;/sub&gt; &lt;= 10&lt;sup&gt;29&lt;/sup&gt; erg/s among M stars with masses &gt;=0.2 solar masses. Coronal spectra show evidence for multi-temperature differential emission measures and low coronal metal abundances of Z~= 0.3. Most of the solar-type stars in NGC 2547 exhibit saturated or even supersaturated X-ray activity levels. The median levels of L&lt;sub&gt;x&lt;/sub&gt; and L&lt;sub&gt;x&lt;/sub&gt;/L&lt;sub&gt;bol&lt;/sub&gt; in the solar-type stars of NGC 2547 are very similar to those in T-Tauri stars of the Orion Nebula cluster (ONC), but an order of magnitude higher than in the older Pleiades. The spread in X-ray activity levels among solar-type stars in NGC 2547 is much smaller than in older or younger clusters. This table contains the properties of those X-ray sources which are correlated with optical cluster members (see Section 2.2 of the reference paper for details on the correlation procedure that was adopted), as well as the properties of those X-ray sources which are uncorrelated with any optical cluster members. The table lists the cross-identifications with optical catalogs for the candidate cluster sources along with their X-ray luminosities and X-ray to bolometric flux ratios, as well as the correlations between cluster members which were detected by XMM-Newton and those detected 7 years earlier by the ROSAT HRI instrument, along with the X-ray luminosities and flux ratios as determined by the HRI. This table was created by the HEASARC in February 2007 based on CDS Catalog J/MNRAS/367/781 files table1.dat, table2.dat, table3.dat and table7.dat. This is a service provided by NASA HEASARC .\n",
       "  ***  \n",
       "\n",
       "['Giardino et al.']\n",
-      "This table provides a list of X-ray sources detected in a ~140 ks Chandra X-ray observation of the open cluster NGC 752. For the sources with 2MASS counterparts, the values of their magnitudes in the J, H and K bands are also given. Very little is known about the evolution of stellar activity between the ages of the Hyades (0.8 Gyr) and the Sun (4.6 Gyr). To gain information on the typical level of coronal activity at a star&#39;s intermediate age, the authors have studied the X-ray emission from stars in the 1.9 Gyr-old open cluster NGC 752. They analyzed a ~ 140 ks Chandra observation of NGC 752 and a ~50 ks XMM-Newton observation of the same cluster. They detected 262 X-ray sources in the Chandra data and 145 sources in the XMM-Newton observation. Around 90% of the catalogued cluster members within Chandr&aacute;s field of view are detected in the X-ray observation. The X-ray luminosity of all observed cluster members (28 stars) and of 11 cluster member candidates was derived. These data indicate that, at an age of 1.9 Gyr, the typical X-ray luminosity L&lt;sub&gt;x&lt;/sub&gt; of the cluster members with masses of 0.8 to 1.2 solar masses is 1.3 x 10&lt;sup&gt;28&lt;/sup&gt; erg s&lt;sup&gt;-1&lt;/sup&gt;, which is approximately a factor of 6 times less intense than that observed in the younger Hyades. Given that L&lt;sub&gt;x&lt;/sub&gt; is proportional to the square of a star&#39;s rotational rate, the median L&lt;sub&gt;x&lt;/sub&gt; of NGC 752 is consistent, for t &gt;= 1 Gyr, with a decaying rate in rotational velocities v&lt;sub&gt;rot&lt;/sub&gt; ~ t&lt;sup&gt;-alpha&lt;/sup&gt; with alpha ~ 0.75, steeper than the Skumanich relation (alpha ~ 0.5) and significantly steeper than that observed between the Pleiades and the Hyades (where alpha &lt;0.3), suggesting that a change in the rotational regimes of the stellar interiors is taking place at an age of ~ 1 Gyr. The 135 ks observation of NGC 752 was performed by the Chandra ACIS camera on September 29, 2003 starting at 21:11:59 UT. The X-ray source detection was performed on the event list using the Wavelet Transform detection algorithm developed at Palermo Astronomical Observatory PWDETECT, available at &lt;a href=\"http://oapa.astropa.unipa.it/progetti_ricerca/PWDetect\"&gt;http://oapa.astropa.unipa.it/progetti_ricerca/PWDetect&lt;/a&gt;. Initially, the energy range 0.2 - 10 keV was selected and the threshold for source detection was taken as to ensure a maximum of 1-2 spurious sources per field. 169 sources were detected in this way. The analysis of these sources hardness ratios showed, however, that all the catalogued stars in the field had low hardness ratios, HR &lt; ~ 0.2, where HR is the number of photons in the 2 - 8 keV band over the number in the 0.5 - 2 keV band. Thus, to maximize the detection of stellar sources, PWDETECT was applied to the event list in the energy range from 0.5 - 2 keV. Using a detection threshold which ensures less than 1 spurious source per field leads to the detection of 188 sources, while lowering this threshold to 10 spurious sources per field, allows 262 sources to be identified in this energy range. This is a significant increase (well above the number expected if all the additional sources were spurious), thus the authors retained this list of 262 sources as their final list of sources in the NGC 752 field, with the caveat that ~ 10 sources among them are likely spurious. Note that the existence of ~ 10 spurious sources in the list is not so much of a problem in this context, because cluster members or candidate members are identified by the existence of a visible or near-IR counterpart. The authors searched for 2MASS counterparts to the X-ray sources using the 2MASS Point Source Catalogue (PSC) and a search radius of 3 arcsec and found a counterpart for 43 sources. Searching within the Point Source Reject Table of the 2MASS Extended Mission leads to the further identification of 1 counterpart (source number 87).\n",
+      "This table provides a list of X-ray sources detected in a ~140 ks Chandra X-ray observation of the open cluster NGC 752. For the sources with 2MASS counterparts, the values of their magnitudes in the J, H and K bands are also given. Very little is known about the evolution of stellar activity between the ages of the Hyades (0.8 Gyr) and the Sun (4.6 Gyr). To gain information on the typical level of coronal activity at a star&#39;s intermediate age, the authors have studied the X-ray emission from stars in the 1.9 Gyr-old open cluster NGC 752. They analyzed a ~ 140 ks Chandra observation of NGC 752 and a ~50 ks XMM-Newton observation of the same cluster. They detected 262 X-ray sources in the Chandra data and 145 sources in the XMM-Newton observation. Around 90% of the catalogued cluster members within Chandr&aacute;s field of view are detected in the X-ray observation. The X-ray luminosity of all observed cluster members (28 stars) and of 11 cluster member candidates was derived. These data indicate that, at an age of 1.9 Gyr, the typical X-ray luminosity L&lt;sub&gt;x&lt;/sub&gt; of the cluster members with masses of 0.8 to 1.2 solar masses is 1.3 x 10&lt;sup&gt;28&lt;/sup&gt; erg s&lt;sup&gt;-1&lt;/sup&gt;, which is approximately a factor of 6 times less intense than that observed in the younger Hyades. Given that L&lt;sub&gt;x&lt;/sub&gt; is proportional to the square of a star&#39;s rotational rate, the median L&lt;sub&gt;x&lt;/sub&gt; of NGC 752 is consistent, for t &gt;= 1 Gyr, with a decaying rate in rotational velocities v&lt;sub&gt;rot&lt;/sub&gt; ~ t&lt;sup&gt;-alpha&lt;/sup&gt; with alpha ~ 0.75, steeper than the Skumanich relation (alpha ~ 0.5) and significantly steeper than that observed between the Pleiades and the Hyades (where alpha &lt;0.3), suggesting that a change in the rotational regimes of the stellar interiors is taking place at an age of ~ 1 Gyr. The 135 ks observation of NGC 752 was performed by the Chandra ACIS camera on September 29, 2003 starting at 21:11:59 UT. The X-ray source detection was performed on the event list using the Wavelet Transform detection algorithm developed at Palermo Astronomical Observatory PWDETECT, available at &lt;a href=\"http://oapa.astropa.unipa.it/progetti_ricerca/PWDetect\"&gt;http://oapa.astropa.unipa.it/progetti_ricerca/PWDetect&lt;/a&gt;. Initially, the energy range 0.2 - 10 keV was selected and the threshold for source detection was taken as to ensure a maximum of 1-2 spurious sources per field. 169 sources were detected in this way. The analysis of these sources hardness ratios showed, however, that all the catalogued stars in the field had low hardness ratios, HR &lt; ~ 0.2, where HR is the number of photons in the 2 - 8 keV band over the number in the 0.5 - 2 keV band. Thus, to maximize the detection of stellar sources, PWDETECT was applied to the event list in the energy range from 0.5 - 2 keV. Using a detection threshold which ensures less than 1 spurious source per field leads to the detection of 188 sources, while lowering this threshold to 10 spurious sources per field, allows 262 sources to be identified in this energy range. This is a significant increase (well above the number expected if all the additional sources were spurious), thus the authors retained this list of 262 sources as their final list of sources in the NGC 752 field, with the caveat that ~ 10 sources among them are likely spurious. Note that the existence of ~ 10 spurious sources in the list is not so much of a problem in this context, because cluster members or candidate members are identified by the existence of a visible or near-IR counterpart. The authors searched for 2MASS counterparts to the X-ray sources using the 2MASS Point Source Catalogue (PSC) and a search radius of 3 arcsec and found a counterpart for 43 sources. Searching within the Point Source Reject Table of the 2MASS Extended Mission leads to the further identification of 1 counterpart (source number 87). This table was created by the HEASARC in October 2008 based on the electronic version of Table 6 from the reference paper which was obtained from the CDS website, i.e., their catalog J/A+A/490/113 file table6.dat. This is a service provided by NASA HEASARC .\n",
       "  ***  \n",
       "\n",
       "['Giardino et al.']\n",
-      "This table provides a list of X-ray sources detected in a ~50 ks XMM-Newton X-ray observation of the open cluster NGC 752. For the sources with 2MASS counterparts, the values of their magnitudes in the J, H and K bands are also given. Additionally, for the sources with a Chandra counterpart (within a search radius of 5 arcsec), the values of their Chandra source number (as given in the related Browse table NGC752CXO) are also given. Very little is known about the evolution of stellar activity between the ages of the Hyades (0.8 Gyr) and the Sun (4.6 Gyr). To gain information on the typical level of coronal activity at a star&#39;s intermediate age, the authors have studied the X-ray emission from stars in the 1.9 Gyr-old open cluster NGC 752. They analyzed a ~ 140 ks Chandra observation of NGC 752 and a ~50 ks XMM-Newton observation of the same cluster. They detected 262 X-ray sources in the Chandra data and 145 sources in the XMM-Newton observation. Around 90% of the catalogued cluster members within Chandr&aacute;s field of view are detected in the X-ray observation. The X-ray luminosity of all observed cluster members (28 stars) and of 11 cluster member candidates was derived. These data indicate that, at an age of 1.9 Gyr, the typical X-ray luminosity L&lt;sub&gt;x&lt;/sub&gt; of the cluster members with masses of 0.8 to 1.2 solar masses is 1.3 x 10&lt;sup&gt;28&lt;/sup&gt; erg s&lt;sup&gt;-1&lt;/sup&gt;, which is approximately a factor of 6 times less intense than that observed in the younger Hyades. Given that L&lt;sub&gt;x&lt;/sub&gt; is proportional to the square of a star&#39;s rotational rate, the median L&lt;sub&gt;x&lt;/sub&gt; of NGC 752 is consistent, for t &gt;= 1 Gyr, with a decaying rate in rotational velocities v&lt;sub&gt;rot&lt;/sub&gt; ~ t&lt;sup&gt;-alpha&lt;/sup&gt; with alpha ~ 0.75, steeper than the Skumanich relation (alpha ~ 0.5) and significantly steeper than that observed between the Pleiades and the Hyades (where alpha &lt;0.3), suggesting that a change in the rotational regimes of the stellar interiors is taking place at an age of ~ 1 Gyr. NGC 752 was observed for 49 ks by the XMM-Newton EPIC camera on February 5, 2003 starting at 23:29:25 UT, and the nominal pointing was towards J2000.0 RA and Declination of (01:57:38, +37:47:60), thus the XMM-Newton field-of-view (FOV) includes the Chandra FOV. For the source detection, the authors used the PWXDETECT code developed at Palermo Observatory and derived from the analogous Chandra PWDETECT code based on wavelet transform analysis. This allows the three EPIC exposures (PN, MOS1 and MOS2) to be combined in order to gain a deeper sensitivity with respect to the source detection based on single images. There were 145 point sources detected in the energy band 0.5 - 2.0 keV. An extended source (not listed in this present table), very likely a galaxy cluster, is also visible in the EPIC data. The authors searched for 2MASS counterparts to the XMM-Newton sources using a search radius of 5 arcsec and found a counterpart for 38 sources. As for the Chandra data, all sources with a visible counterpart from DLM94 have also a 2MASS counterpart, so this leaves 15 XMM-Newton sources with a 2MASS counterpart and no counterpart in Daniel et al. (1994, PASP, 106, 281); of these, 3 were also detected by Chandra; of the other 12, 10 are outside the Chandra FOV, while two are within it (XMM-Newton sources 58 and 65). Source 65 was caught by XMM-Newton during the decay phase of a flare, which explains why it is not detected in the Chandra data. For source 58 there is no immediate explanation for this, since the light curve does not show evidence of a flare. No additional near-IR counterpart to the XMM-Newton sources was found within the Point Source Reject Table of the 2MASS Extended Mission.\n",
+      "This table provides a list of X-ray sources detected in a ~50 ks XMM-Newton X-ray observation of the open cluster NGC 752. For the sources with 2MASS counterparts, the values of their magnitudes in the J, H and K bands are also given. Additionally, for the sources with a Chandra counterpart (within a search radius of 5 arcsec), the values of their Chandra source number (as given in the related Browse table NGC752CXO) are also given. Very little is known about the evolution of stellar activity between the ages of the Hyades (0.8 Gyr) and the Sun (4.6 Gyr). To gain information on the typical level of coronal activity at a star&#39;s intermediate age, the authors have studied the X-ray emission from stars in the 1.9 Gyr-old open cluster NGC 752. They analyzed a ~ 140 ks Chandra observation of NGC 752 and a ~50 ks XMM-Newton observation of the same cluster. They detected 262 X-ray sources in the Chandra data and 145 sources in the XMM-Newton observation. Around 90% of the catalogued cluster members within Chandr&aacute;s field of view are detected in the X-ray observation. The X-ray luminosity of all observed cluster members (28 stars) and of 11 cluster member candidates was derived. These data indicate that, at an age of 1.9 Gyr, the typical X-ray luminosity L&lt;sub&gt;x&lt;/sub&gt; of the cluster members with masses of 0.8 to 1.2 solar masses is 1.3 x 10&lt;sup&gt;28&lt;/sup&gt; erg s&lt;sup&gt;-1&lt;/sup&gt;, which is approximately a factor of 6 times less intense than that observed in the younger Hyades. Given that L&lt;sub&gt;x&lt;/sub&gt; is proportional to the square of a star&#39;s rotational rate, the median L&lt;sub&gt;x&lt;/sub&gt; of NGC 752 is consistent, for t &gt;= 1 Gyr, with a decaying rate in rotational velocities v&lt;sub&gt;rot&lt;/sub&gt; ~ t&lt;sup&gt;-alpha&lt;/sup&gt; with alpha ~ 0.75, steeper than the Skumanich relation (alpha ~ 0.5) and significantly steeper than that observed between the Pleiades and the Hyades (where alpha &lt;0.3), suggesting that a change in the rotational regimes of the stellar interiors is taking place at an age of ~ 1 Gyr. NGC 752 was observed for 49 ks by the XMM-Newton EPIC camera on February 5, 2003 starting at 23:29:25 UT, and the nominal pointing was towards J2000.0 RA and Declination of (01:57:38, +37:47:60), thus the XMM-Newton field-of-view (FOV) includes the Chandra FOV. For the source detection, the authors used the PWXDETECT code developed at Palermo Observatory and derived from the analogous Chandra PWDETECT code based on wavelet transform analysis. This allows the three EPIC exposures (PN, MOS1 and MOS2) to be combined in order to gain a deeper sensitivity with respect to the source detection based on single images. There were 145 point sources detected in the energy band 0.5 - 2.0 keV. An extended source (not listed in this present table), very likely a galaxy cluster, is also visible in the EPIC data. The authors searched for 2MASS counterparts to the XMM-Newton sources using a search radius of 5 arcsec and found a counterpart for 38 sources. As for the Chandra data, all sources with a visible counterpart from DLM94 have also a 2MASS counterpart, so this leaves 15 XMM-Newton sources with a 2MASS counterpart and no counterpart in Daniel et al. (1994, PASP, 106, 281); of these, 3 were also detected by Chandra; of the other 12, 10 are outside the Chandra FOV, while two are within it (XMM-Newton sources 58 and 65). Source 65 was caught by XMM-Newton during the decay phase of a flare, which explains why it is not detected in the Chandra data. For source 58 there is no immediate explanation for this, since the light curve does not show evidence of a flare. No additional near-IR counterpart to the XMM-Newton sources was found within the Point Source Reject Table of the 2MASS Extended Mission. This table was created by the HEASARC in October 2008 based on the electronic version of Table 7 from the reference paper which was obtained from the CDS website, i.e., their catalog J/A+A/490/113 file table7.dat. This is a service provided by NASA HEASARC .\n",
       "  ***  \n",
       "\n",
       "['Micela et al.']\n",
-      "This catalog contains the results of a deep X-ray survey of the core region of the Pleiades open cluster carried out with ROSAT. In a single PSPC field (~1 degree in radius), 99 of 214 Pleiades stars are detected in X-rays, and upper limits are computed for the remainder. This catalog lists the characteristics of these stars taken from the literature, including their rotational data, as well as their X-ray characteristics. The nucleus of the composite catalog used in this study is the catalog compiled from the published literature for the Einstein investigations of the Pleiades (Micela et al. 1990, ApJ, 348, 557). This list has been extended by the results of recent surveys to a completeness limit of visual magnitude of about 18.\n"
+      "This catalog contains the results of a deep X-ray survey of the core region of the Pleiades open cluster carried out with ROSAT. In a single PSPC field (~1 degree in radius), 99 of 214 Pleiades stars are detected in X-rays, and upper limits are computed for the remainder. This catalog lists the characteristics of these stars taken from the literature, including their rotational data, as well as their X-ray characteristics. The nucleus of the composite catalog used in this study is the catalog compiled from the published literature for the Einstein investigations of the Pleiades (Micela et al. 1990, ApJ, 348, 557). This list has been extended by the results of recent surveys to a completeness limit of visual magnitude of about 18. This database was created at the HEASARC in April 2002 based on the ADC/&lt;a href=\"https://cdsarc.cds.unistra.fr/ftp/cats/J/ApJS/102/75\"&gt;CDS Catalog J/ApJS/102/75&lt;/a&gt; and is derived from Tables 1 and 5 of the published paper. This is a service provided by NASA HEASARC .\n"
      ]
     }
    ],
@@ -833,7 +839,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a24908ee",
+   "id": "9bf2be2a",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -851,7 +857,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7698f721",
+   "id": "b58904ec",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -878,14 +884,14 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "e9973f3f",
+   "id": "6d57dafb",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "('ivoid', 'res_type', 'short_name', 'res_title', 'content_level', 'res_description', 'reference_url', 'creator_seq', 'created', 'updated', 'rights', 'content_type', 'source_format', 'source_value', 'region_of_regard', 'waveband', 'access_urls', 'standard_ids', 'intf_types', 'intf_roles', 'alt_identifier')\n"
+      "('ivoid', 'res_type', 'short_name', 'res_title', 'content_level', 'res_description', 'reference_url', 'creator_seq', 'created', 'updated', 'rights', 'content_type', 'source_format', 'source_value', 'region_of_regard', 'waveband', 'access_urls', 'standard_ids', 'intf_types', 'intf_roles')\n"
      ]
     }
    ],
@@ -898,7 +904,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "374598d2",
+   "id": "d4a14421",
    "metadata": {},
    "source": [
     "First, Try using bibcode:"
@@ -907,7 +913,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "32dbfd70",
+   "id": "9c43104c",
    "metadata": {},
    "outputs": [
     {
@@ -936,7 +942,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "31c2939b",
+   "id": "f1810cff",
    "metadata": {},
    "source": [
     "Note that the URL is a generic TAP url for Vizier.  All of its tables can be accessed by that same TAP services.  It'll be in the ADQL query itself that you specify the table name.  We'll see this below."
@@ -944,7 +950,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0521e820",
+   "id": "7e19f96d",
    "metadata": {},
    "source": [
     "Next, try using Author name:"
@@ -953,7 +959,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "dcb205db",
+   "id": "e3e31e68",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -983,7 +989,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1b14578d",
+   "id": "be4d6bba",
    "metadata": {},
    "source": [
     "In the code above, the record is a Registry Resource. You can access the attribute, \"creators\", from the resource, which is relevant for our example here since this is a direct way to get the author names. The other attributes, \"access_url\" and \"reference_url\", provides two types of URLs. The former can be used to access the service resource (as described above) and the latter points to a human-readable document describing this resource.\n",
@@ -997,7 +1003,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5d420b0d",
+   "id": "8feeb0a6",
    "metadata": {},
    "source": [
     "These examples provide a few ways to access the information of interest.\n",
@@ -1012,7 +1018,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "409d1a7b",
+   "id": "49d373e7",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -1023,7 +1029,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "<TableColumns names=('ivoid','res_type','short_name','res_title','content_level','res_description','reference_url','creator_seq','created','updated','rights','content_type','source_format','source_value','region_of_regard','waveband','access_urls','standard_ids','intf_types','intf_roles','alt_identifier')>\n"
+      "<TableColumns names=('ivoid','res_type','short_name','res_title','content_level','res_description','reference_url','creator_seq','created','updated','rights','content_type','source_format','source_value','region_of_regard','waveband','access_urls','standard_ids','intf_types','intf_roles')>\n"
      ]
     }
    ],
@@ -1034,7 +1040,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "c2024520",
+   "id": "b14a8c69",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -1075,7 +1081,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "c3489044",
+   "id": "1c8aa456",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -1142,6 +1148,46 @@
       "Waveband Coverage: optical\n",
       "---------------------------------------------  \n",
       "\n",
+      "K-line photometry of Southern A stars\n",
+      "Short Name: II/43\n",
+      "IVOA Identifier: ivo://cds.vizier/ii/43\n",
+      "Access modes: tap#aux\n",
+      "Multi-capability service -- use get_service()\n",
+      "\n",
+      "The photoelectric measurements of the strength of the Calcium K-line has been\n",
+      "extended by 223 stars of predominantly southern or equatorial declinations\n",
+      "which are well distributed in right ascension. This has expanded the existent\n",
+      "list to 369 field stars for which a k-index is available, including many more\n",
+      "Am stars. All available k-index data for field stars are presented here.\n",
+      "Introduction: The present work represents a continuation of that described\n",
+      "previously (Henry 1968ApJ...152L..87H, 1969ApJS...18...47H = II/42,\n",
+      "[hereinafter referenced as Paper I]), in which the K-line of calcium at\n",
+      "3933{AA} is measured photoelectrically in A-type stars with a narrow-band\n",
+      "spectrometer. The result for each star is a K-line strength index, called k,\n",
+      "the value of which appears to depend predominantly only on the temperature of\n",
+      "the star and the abundance of calcium in its atmosphere. The temperature\n",
+      "dependence is well known; the abundance dependence appears as a correlation\n",
+      "between the residual dK in K (after allowance for the temperature effect) and\n",
+      "the difference from normal of the general metallicity index [m1] of Stromgren.\n",
+      "Alternatively, it was shown in Paper I that the calcium abundance is probably\n",
+      "the effective factor in producing the scatter in the relation between k and\n",
+      "b-y by a process of elimination of other parameters (luminosity, etc.) that\n",
+      "were found not to affect appreciably the value of k. The value of k is,\n",
+      "however, affected by a third parameter, namely, whether the star is an Am star\n",
+      "or not. Many of the stars of Paper I were reobserved in order to tie in the\n",
+      "new measurements with the old ones. An emphasis was laid on observing more Am\n",
+      "stars, and on observing some stars that are of somewhat earlier spectral types\n",
+      "than the earliest ones observed previously. Simultaneously with the field-star\n",
+      "measurements described here, extensive data were acquired for the A stars in\n",
+      "five open clusters (Hyades, Pleiades, IC 2391, IC 2602, and NGC 6475) and one\n",
+      "association (Orion), as described in Paper III (Hesser & Henry\n",
+      "1971ApJS...23..453H). The observations were made with the same instrument that\n",
+      "was used to obtain the data for Paper I, and a description of the instrument\n",
+      "may be found in that paper.\n",
+      "\n",
+      "Waveband Coverage: optical\n",
+      "---------------------------------------------  \n",
+      "\n",
       "K-Line photometry of stars in Population I clusters\n",
       "Short Name: II/44\n",
       "IVOA Identifier: ivo://cds.vizier/ii/44\n",
@@ -1408,7 +1454,7 @@
       "Waveband Coverage: x-ray\n",
       "---------------------------------------------  \n",
       "\n",
-      "Spectrocopic results on ROSAT late-type stars\n",
+      "Spectroscopic results on ROSAT late-type stars\n",
       "Short Name: J/A+A/433/151\n",
       "IVOA Identifier: ivo://cds.vizier/j/a+a/433/151\n",
       "Access modes: tap#aux\n",
@@ -1431,7 +1477,7 @@
       "stars appear to form a group with space velocities close to the Castor moving\n",
       "group but clearly distinct from the Local Association.\n",
       "\n",
-      "Waveband Coverage: x-ray, optical\n",
+      "Waveband Coverage: x-ray\n",
       "---------------------------------------------  \n",
       "\n",
       "XMM survey of NGC 2516\n",
@@ -2689,6 +2735,36 @@
       "Waveband Coverage: optical, infrared\n",
       "---------------------------------------------  \n",
       "\n",
+      "Kinematic for ~5200 alpha Persei candidate members\n",
+      "Short Name: J/AJ/166/14\n",
+      "IVOA Identifier: ivo://cds.vizier/j/aj/166/14\n",
+      "Access modes: tap#aux\n",
+      "Multi-capability service -- use get_service()\n",
+      "\n",
+      "On the pre-main sequence, the rotation rates of Sun-like stars are dictated by\n",
+      "the interplay between the protostellar disk and the star's contraction. At\n",
+      "ages exceeding 100Myr, magnetic spindown erases the initial stellar spin rate\n",
+      "and enables rotation-based age dating (gyrochronology). The exact time at\n",
+      "which the transition between these two regimes occurs depends on stellar mass,\n",
+      "and has been challenging to empirically resolve due to a lack of viable\n",
+      "calibration clusters. The {alpha}Persei open cluster (t~80Myr, d~170pc) may\n",
+      "provide the needed calibrator, but recent analyses of the Gaia data have\n",
+      "provided wildly varying views of its age and spatial extent. As such, we\n",
+      "analyze a combination of TESS, Gaia, and LAMOST data to calibrate\n",
+      "gyrochronology at the age of {alpha}Per and to uncover the cluster's true\n",
+      "morphology. By assembling a list of rotationally confirmed {alpha}Per members,\n",
+      "we provide strong evidence that {alpha}Per is part of a larger complex of\n",
+      "similarly aged stars. Through kinematic back-integration, we show that the\n",
+      "most diffuse components of {alpha}Per were five times closer together 50Myr\n",
+      "ago. Finally, we use our stellar rotation periods to derive a relative\n",
+      "gyrochronology age for {alpha}Per of 67%{+/-}12% the age of the Pleiades,\n",
+      "which yields 86{+/-}16Myr given current knowledge. We show that by this age,\n",
+      "stars more massive than ~0.8M{sun} have converged to form a well-defined slow\n",
+      "sequence.\n",
+      "\n",
+      "Waveband Coverage: optical\n",
+      "---------------------------------------------  \n",
+      "\n",
       "X-ray studies of stars in the Pleiades\n",
       "Short Name: J/ApJ/348/557\n",
       "IVOA Identifier: ivo://cds.vizier/j/apj/348/557\n",
@@ -3075,7 +3151,11 @@
       "Of 214 stars in the core of the Pleiades, 99 were detected in X-rays with the\n",
       "ROSAT PSPC. This catalog lists the characteristics of the stars taken from the\n",
       "literature, in table1.dat and the rotational and X-ray characteristics in\n",
-      "table5.dat.\n",
+      "table5.dat. Introduction: The nucleus of the composite catalog used in this\n",
+      "study is the catalog compiled from the published literature for the Einstein\n",
+      "investigations of the Pleiades (Micela et al. 1990). This list has been\n",
+      "extended by the results of recent surveys to a completeness limit of visual\n",
+      "magnitude about 18.\n",
       "\n",
       "Waveband Coverage: x-ray, optical\n",
       "---------------------------------------------  \n",
@@ -3273,7 +3353,7 @@
       "benchmark test for the development of pre-main-sequence models, we provide\n",
       "both our system responses and the Pleiades sequence.\n",
       "\n",
-      "Waveband Coverage: optical\n",
+      "Waveband Coverage:\n",
       "---------------------------------------------  \n",
       "\n",
       "M dwarfs in the Pleiades\n",
@@ -3463,6 +3543,59 @@
       "Waveband Coverage: optical\n",
       "---------------------------------------------  \n",
       "\n",
+      "Low-Mass Stars' Membership in Alpha Persei Cluster\n",
+      "Short Name: V/80\n",
+      "IVOA Identifier: ivo://cds.vizier/v/80\n",
+      "Access modes: tap#aux\n",
+      "Multi-capability service -- use get_service()\n",
+      "\n",
+      "This catalog contains the tabulated results of a combined astrometric,\n",
+      "photometric, and spectroscopic search for low-mass members in the\n",
+      "intermediate-age open cluster Alpha Persei. It contains information on 132 new\n",
+      "members and likely members, and 16 uncertain members of Alpha Per. The new\n",
+      "membership information suggested to the author a revised age of the cluster to\n",
+      "approximately 8x10+7yr. Tabulated data include AP number, VBI photometry, 1950\n",
+      "coordinates, relative proper motions with errors, H-alpha equivalent widths,\n",
+      "and spectral type. Included are the individual membership determinations,\n",
+      "based on H-alpha emission, spectral type, and echelle spectra data. The\n",
+      "photometric data were obtained with the Lick Obs. 1-m Nickel Telescope using a\n",
+      "TI 500x500 pixel CCD in B, V, and I bands. Low dispersion CCD spectra centered\n",
+      "on H-alpha for candidates whose V-I photometry indicated likely membership\n",
+      "using the Lick 1-m Nickel and 3-m Shane telescopes. High-dispersion echelle\n",
+      "spectra were obtained for many bright candidates using the Hamilton echelle\n",
+      "spectrographic with the Shane and Coude auxiliary telescopes. Introduction:\n",
+      "van den Bergh & Sher (1960) found from studying several open clusters that in\n",
+      "general the faint end of the cluster luminosity function decreased or remained\n",
+      "constant down to the level of observation. If true, the observed cluster\n",
+      "luminosity functions are unable to account for the luminosity function of\n",
+      "nearby field stars which increases to faint magnitudes. One possible solution\n",
+      "is that additional unidentified low-mass stars exist in most (or all) open\n",
+      "clusters. Recent studies in the Hyades (Weis & Hanson 1988AJ.....96..148W,\n",
+      "Griffin et al. 1988AJ.....96..172G, Stauffer 1982AJ.....87..899S), Pleiades\n",
+      "(Stauffer et al. 1991AJ....101..980S, Prosser et al. 1991AJ....101.1361P), and\n",
+      "Praesepe (Mermilliod et al. 1990A&A...235..114M, Jones & Stauffer\n",
+      "1991AJ....102.1080J) have identified faint candidate members. It is the aim of\n",
+      "this study to determine the existence, and some of the properties, of the low-\n",
+      "mass membership in the open cluster Alpha Persei. Alpha Per was chosen for\n",
+      "study because of the limited information on low-mass membership, because it is\n",
+      "nearby (which enables both proper motion analysis and observation of low-mass\n",
+      "candidates), because no other clusters of the same relatively youthful age\n",
+      "have been studied completely, and because of the existence of the photographic\n",
+      "plate material needed for the proper motion analysis. After a brief review of\n",
+      "the history and previous work in this cluster, the proper motion survey of\n",
+      "this study is described. This is accompanied by a description of the CCD\n",
+      "photometry and spectroscopy programs employed to aid in identifying cluster\n",
+      "members. A review of current information on previous members and possible\n",
+      "members is also given, followed by a section presenting the new members and\n",
+      "candidate members found in this study. An analysis of some cluster properties\n",
+      "including luminosity function, age, spatial distribution of members,\n",
+      "reddening, H-alpha emission strengths, and rotational velocity distribution is\n",
+      "presented. Finally, the last section provides a general review of the results\n",
+      "found in Alpha Per.\n",
+      "\n",
+      "Waveband Coverage: optical\n",
+      "---------------------------------------------  \n",
+      "\n",
       "NGC 2516 Cluster XMM-Newton X-Ray Point Source Catalog\n",
       "Short Name: NGC2516XMM\n",
       "IVOA Identifier: ivo://nasa.heasarc/ngc2516xmm\n",
@@ -3498,7 +3631,10 @@
       "All of these observations have been performed with the thick filter. In the\n",
       "combined EPIC datasets the authors detected 431 X-ray sources with a\n",
       "significance level greater than 5.0 sigma, which should lead statistically to\n",
-      "at most one spurious source in the field of view.\n",
+      "at most one spurious source in the field of view. This table was created by\n",
+      "the HEASARC in May 2007 based on CDS catalog J/A+A/450/993\n",
+      "<https://cdsarc.cds.unistra.fr/ftp/cats/J/A+A/450/993> files tablea1.dat and\n",
+      "tableb1.dat. This is a service provided by NASA HEASARC .\n",
       "\n",
       "Waveband Coverage: x-ray\n",
       "---------------------------------------------  \n",
@@ -3533,7 +3669,9 @@
       "flux ratios, as well as the correlations between cluster members which were\n",
       "detected by XMM-Newton and those detected 7 years earlier by the ROSAT HRI\n",
       "instrument, along with the X-ray luminosities and flux ratios as determined by\n",
-      "the HRI.\n",
+      "the HRI. This table was created by the HEASARC in February 2007 based on CDS\n",
+      "Catalog J/MNRAS/367/781 files table1.dat, table2.dat, table3.dat and\n",
+      "table7.dat. This is a service provided by NASA HEASARC .\n",
       "\n",
       "Waveband Coverage: optical, x-ray\n",
       "---------------------------------------------  \n",
@@ -3595,7 +3733,10 @@
       "2MASS Point Source Catalogue (PSC) and a search radius of 3 arcsec and found a\n",
       "counterpart for 43 sources. Searching within the Point Source Reject Table of\n",
       "the 2MASS Extended Mission leads to the further identification of 1\n",
-      "counterpart (source number 87).\n",
+      "counterpart (source number 87). This table was created by the HEASARC in\n",
+      "October 2008 based on the electronic version of Table 6 from the reference\n",
+      "paper which was obtained from the CDS website, i.e., their catalog\n",
+      "J/A+A/490/113 file table6.dat. This is a service provided by NASA HEASARC .\n",
       "\n",
       "Waveband Coverage: infrared, x-ray\n",
       "---------------------------------------------  \n",
@@ -3655,7 +3796,10 @@
       "source 58 there is no immediate explanation for this, since the light curve\n",
       "does not show evidence of a flare. No additional near-IR counterpart to the\n",
       "XMM-Newton sources was found within the Point Source Reject Table of the 2MASS\n",
-      "Extended Mission.\n",
+      "Extended Mission. This table was created by the HEASARC in October 2008 based\n",
+      "on the electronic version of Table 7 from the reference paper which was\n",
+      "obtained from the CDS website, i.e., their catalog J/A+A/490/113 file\n",
+      "table7.dat. This is a service provided by NASA HEASARC .\n",
       "\n",
       "Waveband Coverage: infrared, x-ray\n",
       "---------------------------------------------  \n",
@@ -3675,7 +3819,11 @@
       "in this study is the catalog compiled from the published literature for the\n",
       "Einstein investigations of the Pleiades (Micela et al. 1990, ApJ, 348, 557).\n",
       "This list has been extended by the results of recent surveys to a completeness\n",
-      "limit of visual magnitude of about 18.\n",
+      "limit of visual magnitude of about 18. This database was created at the\n",
+      "HEASARC in April 2002 based on the ADC/CDS Catalog J/ApJS/102/75\n",
+      "<https://cdsarc.cds.unistra.fr/ftp/cats/J/ApJS/102/75> and is derived from\n",
+      "Tables 1 and 5 of the published paper. This is a service provided by NASA\n",
+      "HEASARC .\n",
       "\n",
       "Waveband Coverage: x-ray\n"
      ]
@@ -3690,7 +3838,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "62d7b497",
+   "id": "79766094",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -3705,7 +3853,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "3e40c61e",
+   "id": "edd05abd",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -3738,7 +3886,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6e89c705",
+   "id": "6b8f351b",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -3753,7 +3901,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "afc8fe8d",
+   "id": "edfb8c3c",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -3779,7 +3927,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "64e681a1",
+   "id": "5f639ec8",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -3797,7 +3945,7 @@
      "data": {
       "text/html": [
        "<div><i>Table length=502</i>\n",
-       "<table id=\"table139800928728352\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140572431920016\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>recno</th><th>Hertzsprung</th><th>CI</th><th>Ptm</th><th>RAB1900</th><th>e_RAs</th><th>DEB1900</th><th>e_DEs</th><th>rmsRA</th><th>rmsDE</th><th>rpmRA</th><th>rpmDE</th><th>DrpmRA</th><th>DrpmDE</th><th>DRA</th><th>DDE</th></tr></thead>\n",
        "<thead><tr><th></th><th></th><th>mag</th><th>mag</th><th>deg</th><th>ms</th><th>deg</th><th>mas</th><th></th><th></th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th>arcsec</th><th>arcsec</th></tr></thead>\n",
        "<thead><tr><th>int32</th><th>int16</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>int16</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th></tr></thead>\n",
@@ -3811,7 +3959,6 @@
        "<tr><td>66</td><td>580</td><td>0.3</td><td>12.65</td><td>54.82563333333333</td><td>9.7</td><td>22.981605555555554</td><td>96</td><td>0.25</td><td>0.22</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
        "<tr><td>51</td><td>490</td><td>0.9</td><td>13.03</td><td>54.74930416666666</td><td>6.0</td><td>23.054466666666663</td><td>68</td><td>0.41</td><td>0.51</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
        "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
-       "<tr><td>127</td><td>885</td><td>1.14</td><td>11.94</td><td>55.03941249999999</td><td>4.8</td><td>24.55469722222222</td><td>62</td><td>0.31</td><td>0.34</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
        "<tr><td>103</td><td>775</td><td>0.75</td><td>12.84</td><td>54.959262499999994</td><td>5.2</td><td>24.565244444444442</td><td>65</td><td>0.38</td><td>0.56</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
        "<tr><td>122</td><td>880</td><td>0.8</td><td>13.35</td><td>55.037454166666656</td><td>6.4</td><td>24.571502777777773</td><td>76</td><td>0.38</td><td>0.62</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
        "<tr><td>7</td><td>285</td><td>0.58</td><td>11.29</td><td>54.562279166666656</td><td>8.6</td><td>24.42119166666666</td><td>89</td><td>0.62</td><td>0.11</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
@@ -3839,7 +3986,6 @@
        "   66         580     0.3   12.65 ...       --       --      --      --\n",
        "   51         490     0.9   13.03 ...       --       --      --      --\n",
        "  ...         ...     ...     ... ...      ...      ...     ...     ...\n",
-       "  127         885    1.14   11.94 ...       --       --      --      --\n",
        "  103         775    0.75   12.84 ...       --       --      --      --\n",
        "  122         880     0.8   13.35 ...       --       --      --      --\n",
        "    7         285    0.58   11.29 ...       --       --      --      --\n",
@@ -3865,7 +4011,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1f1d3056",
+   "id": "7eb49199",
    "metadata": {},
    "source": [
     "We can access the column data as array using the .getcolumn(colname) attribute, where the colname is given in the table above. In particular the \"CI\" is the color index and \"Ptm\" is the photovisual magnitude. See [here](https://vizier.u-strasbg.fr/viz-bin/VizieR?-source=I/90) for details about the columns."
@@ -3874,7 +4020,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "27ff4833",
+   "id": "9c632033",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3884,7 +4030,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "802354cd",
+   "id": "1a30547e",
    "metadata": {},
    "source": [
     "### Plotting\n",
@@ -3895,13 +4041,13 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "33acc0e8",
+   "id": "ce428e81",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f25d8901a20>]"
+       "[<matplotlib.lines.Line2D at 0x7fd986b5a1d0>]"
       ]
      },
      "execution_count": 19,
@@ -3910,7 +4056,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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tt92GF154Abfeeis6OjrMKKPlqNP6A9A0zNzq88gQERHZjeZAZufOnRg7diwAYNCgQThw4ACAo8Oy6+rqjC2dhUWa1j8aziNDRERkLM2BzNChQ/H5558DAE488US8+uqrAICWlhaptYe0amtrww033ACn04lBgwZh9OjR+Nvf/mb46+hRUlKCHTt2oLGxETk5ORH3UxQFbreb88gQEREZTHMg85//+Z/405/+BACYM2cO5s+fj0suuQRTp07F1VdfbWjhvvjiC1x00UUYMGAAnn32Wbz33nv4n//5Hxx//PGGvk48HA4Hxo8fj0cffdS/iGYgriBNRERkHs3zyPT09KCnpwfHHHN0wNPq1auxefNmnHLKKfjxj3+MgQMHGla4RYsWYdOmTXElyZoxj0ygwIUWP/roIzz66KPYtWuX/+9utxvV1dVcQZqIiEgD2fo7rgnxzHb66adj4sSJ2LVrFzZu3IiCggL893//N26++eaIz+nq6kJXV5f/352dnXC73aYEMh6PB2VlZUGBS0FBAX70ox/hlFNO4QrSREREOpkayHz99dd46623sGfPHvT09AT97Qc/+IH20kaQkZEBAFiwYAGmTJmCN954A2VlZfjDH/6AWbNmhX3O3XffjcrKyj6PGx3IeDwelJaW9skLUruS1q1bZ0grTGCLDwMjIiLqL0wLZJ577jnMnDkT+/bt63swRfGvgG2EgQMH4rzzzsPmzZv9j91666144403sGXLlrDPSUSLjM/nQ2FhYVBLTCB1kciWlpa4go5wLT4ulws1NTXsqiIiopRm2hIFt9xyC6ZMmYL29nZ/voy6GRnEAEeHK59++ulBj33nO9/Bzp07Iz4nPT3dv3SCWUsoNDc3RwxiAGMmwFNbfEJfp62tDaWlpVzygIiICDoCmd27d2PBggUYMmSIGeUJctFFF+GDDz4IeuzDDz/E8OHDTX/taGQnttM7AZ7P50NZWVnY4ezqY+Xl5YYHjkRERHajOZApLS1FU1OTCUXpa/78+Xj11Vdx77334uOPP0ZtbS0eeeQRzJ07NyGvH4nsxHZ6J8BLRIsPHQ0Ym5qaUFdXh6amJgaGREQ2pHnRyAcffBBTpkxBc3MzRo8ejQEDBgT9/dZbbzWscOeffz7Wr1+PO+64A7/85S8xYsQIVFdX4/rrrzfsNfRQ11pqa2uLOAlgTk4OfD4ffD6f5jwZs1t8iPlHRESpQnOy74oVK/CTn/wEGRkZcDqdQRPAKYqCTz75xPBCxsOseWTUHBYAUWc01lM5NjU1Ydy4cTH383q9KC4ulj4uHZWoEWdERKSfaaOWhg4diltvvRWLFi1CWprmnqmEM3NCvHB39aH0VI7qqKhILT5GjYrqjxI14oyIiOJj2qilI0eOYOrUqbYIYswms9aSnuTcaKtrc8mD+DD/iIgotWiORmbNmoU1a9aYURZbcjgccDgc/oU0w9FTOUZaXdvlcrHrIw7MPyIiSi2ak319Ph/uv/9+PP/88zjzzDP7JPsuX77csMLZhWylt2HDBk05LSUlJZg8eTJn9jWQ2SPOiIgosTTnyERLQlUUBS+99FLchTKS2YtGAvLJuQDQ0NDA1pQkYv4REZE9pMSikUZIRCATq3IM5Ha7WUkmWaQRZxy1RERkHaYl+1JfanKuTEyoNVeGk7YZj/lHRESpQ3OODIVXUlKC8vJyVFdXx9w3XE5NuFWuN2zYEHXSNq6MrR/zj4iIUgO7lgykdyK7cPPROJ1O7N+/v89z1e6PhQsXoq6ujjPTEhFRSmKOTK9EBjJ6EkkjzTKrB3M8Uh9b4YiovzAtR+bll19Gd3d3n8e7u7vx8ssvaz1cStE6kV20Va710Dr5HvNv7MXj8aCwsBDjxo3D9OnTMW7cOBQWFsLj8SS7aEREySM0SktLE7t37+7z+L59+0RaWprWw5muo6NDABAdHR0Je82GhgbhcrkEAP/mdrtFQ0ND0H5erzdoHyM3r9eruYwul6tPGckaGhoahKIofT5nRVGEoij83Igo5cjW35pbZIQQfVobAGD//v049thjtR4uJalLF3i9XtTW1sLr9aKlpaVPd4+Zs8dGO7banRU6VX9bWxtKS0t5h28x0VruhI4lMIiIUon0qCW1ElYUBbNnz0Z6err/bz6fD2+99RbGjh1rfAltyuFwxJzF18zZYyMdO1alqCgKysvLMXnyZOZeWISW9aG4GjoR9TfSgUx2djaAoxfNzMxMDBo0yP+3gQMH4nvf+x5uvvlm40uYwoqKiuByuaQm0pOlJhQXFRWF/TsrRfvh+lBERJFJBzIrV64EABQWFmLhwoXsRjKAmhxcWloKRVHiDmZkVsZmpWg/XB+KiCgyzTkyS5YsYRBjoEizzMrIyckJ+ne0mWnVEUrvvfee1LFZKVqH2nIXLjcNOBrAut3uiK1wRESpTPM8Mrt378bChQvx4osvYs+ePX1aEayWcJjIeWTiETg/yO7duzF//vyYz2lsbITD4Yg5p0i4Cfci4aKJ1sT1oYiovzFtQrzLLrsMO3fuxLx585Cfn9/nLnHy5Mn6SmwSuwQygYxcoVnLhHusFK0tXEDqdrtRXV3Nz4uIUo5pgUxmZiaam5tx9tlnx1vGhLBjIAMcrbSuueaaiH9vaGiIWXmpAZFMSwzAJQ7sgDP7ElF/IVt/a1400u12GzbChswVa4QS2Y/MsH4iov5Ec7JvdXU1Fi1ahB07dphQHAL+PddLJOpcL7HykbSOPOKEeEREZDeaA5mpU6eiqakJJ510EjIzM5GTkxO0Ufy0zPUSjdaRR5wlloiI7EZz11J1dbUJxaBARs31omfCPU6IR0REdqI5kJk1a5YZ5aAARk2A5nA4UFVVhSlTpmguAyfEIyIiO9AcyADA9u3bsXLlSmzfvh01NTU44YQT8Oyzz+LEE0/EqFGjjC5jvxOrJUUdfj127Fg0NTVFHMHi8Xik5qMJhxPiEZGZOAKPjKI5R2bjxo0YPXo0XnvtNXg8Hhw8eBAA8I9//ANLliwxvID9kbp0AYA+8/So/77uuutw0kknYdy4cZg+fTrGjRuHwsJCf6JupBWuY+EssURkNo/Hg8LCwojXLyJNhEbf+973xP/8z/8IIYQYPHiw2L59uxBCiNdee00UFBRoPZzpOjo6BADR0dGR7KJo1tDQIFwulwDg39xut6ioqBCKogQ9DkAoiiIURRH19fV9nhduCz2G+vyGhoZknzoRpaiGhoao1y9ef0glW39rnhBv8ODBePvttzFixAhkZmbiH//4B0aOHIkdO3bgtNNOw9dffx1vbGUou06Ipwptfh07dixOOumkiC0tiqIgNzcXe/fujXnsvLy8oP04SywRmSnWJJ1cIoUCmTYh3nHHHYf29naMGDEi6PFt27bpWviQogudAK2pqSnm0GyZIAYAqqqqUFBQYFgfNfu8iSgaLVNLcNQkydIcyFx33XW4/fbbsXbtWiiKgp6eHmzatAkLFy7EzJkzzSgjBTByNFFBQYFhF4tw6wBxyQOi/inSTY1RU0sQBdIcyNx7772YO3cu3G43fD4fTj/9dPh8PkyfPh2LFy82o4wUQHY0UV5eHvbt2xd11FOshF7ZFpZIC1OqMwVzEUqi/iPaTY1RU0sQBdGSeNPT0yM+/fRTcejQIbFz507x5z//WaxZs0Z8+OGHOlN5zGfnZN9wuru7hcvlCpssh96EObfbLdauXetPngv9u0xCXbhEY5fL1ed5annClSXwed3d3Wa+LURkAbESedWBCLGuX7xekBDy9bemQMbn84kBAwZYOnAJlWqBjBD/vljEClIijXqSCWJkRxV4vd6Yo6MAiMrKSlPfEyJKrlg3NUbdZFH/IVt/a5pHJi0tDaeccgr279+v5WlksJKSEqxbt65PcrXL5QrqxikpKcGOHTvg9XpRW1sLr9eLlpaWqN086oKVIkyXlAizFpNsX/aSJUs4RwRRCpNN5M3NzZW6fhHJ0jz8+v/9v/+H+++/Hw8//DDOOOMMs8plGLsPv45GzyihWM9pamrCuHHjYr621+tFcXGx9P7A0eHdHFZJlJrq6uowffr0mPvV1tZi2rRpHOVIMZk2/HrmzJk4dOgQzjrrLAwcOBCDBg0K+vvnn3+uvbSkS+jQ7FhkRhZpHVWgLqcgM4NwuGGVvJgRpQatibxar19EkXD1635CdmTRRx99JHW8wItRTU0NrrnmGqnnBQZKHLJNlDpk14jj8idkOLOTdeLR3d0tFi9eLAoLC0VGRoYYOXKk+OUvfyl6enqkj5GKyb5aySbh1dfXRxxNELpv6KiCyspKTUm/Vp2mvLu7W3i9XlFbWyu8Xi9HTxBpIDsQgUiGKaOWQh0+fFh0dHQEbUb69a9/LZxOp3jmmWdES0uLWLt2rRg8eLCoqamRPgYDGfmRRbm5uVL7hbsYdXd3i4KCgpjPlVkLKllDMGWHnBNRZHpHSxKFMm2tpa+++gq333476uvrw45eUkezGOGKK67AkCFDsGLFCv9j11xzDQYNGoRVq1ZJHSOVk31lySbhyaisrMRdd93lz21pa2vD3r17kZeXh+3bt8dcAV3LWlBqQnEiROp6U1cb52gKInnMfSMjmJbse9ttt8Hr9eLhhx/GjBkz8NBDD6GtrQ1//OMfsXTp0rgKHWrs2LF45JFH8OGHH+Lb3/42/vGPf+CVV17B8uXLIz6nq6sLXV1d/n93dnYaWiY7MnKWzFNOOSVsbosqKysr6nsuNKwFlahpymMNOVcUBeXl5Zg8eTIvxkQSmMhLCaW1qcftdguv1yuEECIzM1N89NFHQgghnnzySXHZZZdpPVxUPp9P3H777UJRFHHMMccIRVHEvffeG/U5S5YsCdtd0Z+7lmRmA87Ly5POcYmVR2PUpn7PzCbb9Zao8hARkUkT4gFHh1ePHDkSwNG7b3W49X/8x3/g5Zdf1nq4qOrr6/HUU0+htrYWW7duxRNPPIFly5bhiSeeiPicO+64Ax0dHf6ttbXV0DLZkTqyCPh3V4lK/ffvf/97uFyuPn8P3M/lcuGRRx4J23JhNLfbbdjoBp/Ph6amJtTV1aGpqcnf/ak+3tDQIHUcLmRHRGRBWiOk0aNHi6amJiGEEOPHjxc/+9nPhBBC1NTUiIKCAu0hVxQul0s8+OCDQY/dc8894tRTT5U+BpN9/y1WEl6sEQeyI5OM2IxKDIyUwFtRURFzjajQjS0yRESJI1t/a86RmTNnDv7xj3/g+9//PhYtWoQrr7wSDz74IL755puouSt6HDp0CGlpwY1GDocDPT09hr5Of1FSUoLJkydHTMJTlz4IN7dLdXV1UO6RmcrLyw1JrI2UwLtr1y488MAD0sfh/BdERNaledRSqB07dmDr1q04+eSTceaZZxpVLgDA7Nmz0djYiD/+8Y8YNWoUtm3bhh/96Ef44Q9/iN/85jdSx+CoJe0ijTjQshwBAOTl5QUl9ubm5mLfvn0xn9fY2Ijx48fHNfLB5/OhsLBQasbhaDhqiYgoOWTr77gDGTMdOHAAv/jFL7B+/Xrs2bMHw4YNw7Rp03DXXXdh4MCBUsdgIGMc2eBAbcH4+OOPsXnzZn8gcuTIEUycODHm6zQ2NqKjoyOuWX+1Bl2RuN1uVFdXM4ghIkow6fpbT79VY2OjuPzyy8XIkSPFyJEjxeWXXy5eeOEFPYcyHXNkjBVpRt7ALdIMnrW1tVK5KOXl5XHP+iv7WpG2efPmcWZfIqIkMm3U0u9//3tMmjQJmZmZKCsrQ1lZGbKysvBf//VfeOihh7QejmxGzaNxuVxh/+52uyN2w8jOZ7Nq1aqIc7oAR3NoYk28GO/cOddccw2Ki4s5bwwRkcVp7lpyuVxYtGgR5s2bF/T4Qw89hHvvvRdtbW2GFjBe7FoyR7iZfQsKCqLmsahdU9EWlTNq1t8jR47A5XJJT74XWAaXy4WWlhYGMURESSRbf2tukfnyyy8xadKkPo9feuml6Ojo0Ho4sil15s7rr78e5eXluP7662O2YMjMZ3P99ddLvX60OV08Hg9OOukkXUEMcHSFdwYxRET2oDmQ+cEPfoD169f3eXzDhg244oorDCkUpS61a6qgoCDocZfLhXXr1mHy5MlSxwntOlInt5s/fz6uueaaqAnJbrcbFRUVfbrH1DIwsZeIyD40dy396le/wrJly3DRRRfhwgsvBAC8+uqr2LRpE372s58FNf/ceuutxpZWB3YtWVOkodUy3U+hXT/R1n4KlZeXh127dmHgwIEJXdiOi+gREWlj2vDrESNGSO2nKAo++eQTLYc2BQMZ+1EnsgMQFMyEm9Ml0qR30SRyVW0gfKClZSg5EVF/lBLzyBiBgYw9hav8Q+d00TvpXW1tLaZNm2ZoeSOJFGhxoj0iougSEsioT4200KAVMJCxr1jdMXonvUtUi0ysQIsjpMgK2O1JVmXaqCUAWLFiBc444wxkZGQgIyMDZ5xxBv73f/9Xd2GJwlFHRk2bNi3siCitq1ErimLoqtqxNDc3R20tEkKgtbUVzc3NCSkPUSiPx4PCwkKMGzcO06dPx7hx41BYWAiPx5PsohFJ07xo5F133YXly5fjlltu8Sf7btmyBfPnz8fOnTvxy1/+0vBCkn6pfLelZdK7ZAytlg20tAZkREaI1O3Z1taG0tJSdnuSfWidMjg3N1fU1tb2eby2tlY4nU6thzNdf16ioKGhQbhcrqCp910ul9QU/3bQ3d0tXC5XzCUTAAi3253w8/Z6vVLLIXi93oSWi0j97UT6TiqKItxuN5fooKQybYmCb775Buedd16fx88991x0d3drPRyZRL3bCu3aUO+2UqHpWGaCvfLycni9XrS0tEjdXarz0dTV1aGpqSnmUgjRFBUVweVyRcwhS3RXF5GK3Z6USjQHMjNmzMDDDz/c5/FHHnlEelZWMpfP50NZWVnc6xXZQbQJ9hoaGlBVVSW9ZpLR+QIygRZnEaZkYLcnpRLNo5ZuueUWPPnkk3C73fje974HAHjttdewc+dOzJw5EwMGDPDvu3z5cmNLq0N/HLUkO5on0fOpmCneXCCzhkn7fD78+te/Rk1NDT7//HP/4263G8uXL0dubm5K5i+RtfXHawTZj2z9rTnZ95133sF3v/tdAMD27dsBALm5ucjNzcU777zj38/KQ7JTXX+821JHOOkRqwVLURSUl5dj8uTJmoOj0LlwcnJyUFZWhu985zuYP38+J8mjpFC7PWPNoM1uT7IDzYGM1+s1oxxkINnRPFpG/aQyLfkCssFSpBaeL774AkuWLAn7HI4WoURRuz1LS0uhKErYGbTZ7Ul2oWseGbI2JplqY3QLlkyOUjiplr9E1hZrAVcG02QXmltkAOBvf/sb6uvrsXPnThw5ciTob6kwGsbu9N5tpfKcM9EY3YIVq4UnGj2tP0R6lZSUYPLkyf3yd0+pQ3OLzOrVqzF27Fj885//xPr16/HNN9/g3XffxUsvvYTs7Gwzykg6aL3b6s8zfBYVFcHpdEbdx+l0SrdgGZF7FHoMI4eFEwWKNYM2kdVpbpG59957UVVVhblz5yIzMxM1NTUYMWIEfvzjHzPnwmJk77Y4w6exjPgdBB6Dq2cTEUWmefj1sccei3fffReFhYVwOp1oamrC6NGj8c9//hP/+Z//abmRMP1x+LUWXNjQ+KGoelflBvq+31w9m4j6K9MWjTz++ONx4MABAEBBQYF/yPWXX36JQ4cO6SwuJYudZvg0q3vF6GRfh8OBadOmxdwv1iR5/WliQyIivTQHMhdffDFeeOEFAMCUKVNQVlaGm2++GdOmTcP48eMNLyCZyy5zzpiZw2N0sq/P50NdXV3UfZxOJ4YNGxb0WGj+UlNTk22CTCKiZNGcI/Pggw/i66+/BgD8/Oc/x4ABA7B582Zcc801WLx4seEFJHPZYc4Zs3N4jJ4cTGbU0v79+7Fs2TKcffbZ2LNnT5/8JY/Hg5tvvlnq9ZIdZBIRJZPmHBm7YY5MdGo+R6xKPFk5MonK4VGDJQBhh6uvWbMGeXl5UkNU6+rqMH36dKnXDZe0Gylwi6SxsZGtoUSUcgzNkens7NT04moODVmf1Rc2TFQOT7Th6gsXLsSCBQuku7W0tF6FrkYeLS+GiPonTr8Qg5CQlpYmdu/eLbOrEEKIzMxMsX37dun9zdTR0SEAiI6OjmQXxdIaGhqEy+USAPyb2+0WDQ0NSS1XbW1tUJkibbW1tYa8Xnd3t/B6vaK2tlZ4vV6xdu1aoShKn9dTFEUoihL2/enu7hYulyvs88JtiqIIt9vtf22Z55hx7kRkPeGuzS6XK+nX5kSQrb+lcmSEEPjf//1fDB48WCo4+uabb6T2I+uw6gyfic7hCVx8Uu3WEhoXk4w2s3I4IqBVSU++C+dvIkpNnONLjlSOTGFhoebVrF9++WW43W7dBTMKc2TsLZk5PPHOLxNuIrtoamtrkZ+fL/WawNFzLygowOOPPx42YZiI7ItzfMnX31ItMjt27DCqXESaJHOV3niHpqutXL/73e8wf/78mMdRA5FoI6gCCSFw6NAhTJgwwf+YGTP+9tc1uIiMpPV3pCU/sL+vy8bVr8nykrVKrxHdWg6HAy6XK+oFK3A18mjJ1+F8/vnnQf8OTR6OV39eg4vIKHp+R3aZ48sSzEvTsQYm+6aO0ETc7u5u018vWtJuYJJuJA0NDTGTfsMlDYdL8JPdZMolI1LZoyU6E1Ewvb8j2cR/r9eb2BNKINn6m/PIEEURa36ZaC1CMmsuORwO1NXVYcqUKWGf39zcjLa2NsyfPx979+7VVHbZtaHCYf88Ufzi+R1ZfY6vRDBtrSWi/iSebi2ZGX59Ph9ycnLCzhGhjqAqKCjQHMQA8TU522kNLiKriud3ZPU5vqxEeomCd955B2eccYaZZSGyJL1D0zds2CB1/GuvvTYo1yU0YVdvQBLPsGz2z1OipHIyuREDBtatW9dn9KPL5UJ1dTWHXveSDmTOPPNMnH/++bjppptw3XXXITMz08xyEVlK4PwyMjweD6qrq6X2jZSwq7b4aA1ItK4NFY4d1uAi+ws3RYEayFtxXiutjPgdWXWOLyuRzpFpbm7GypUrsW7dOvT09OCaa67BTTfdFNfFMhGYI0OqRN35yeTGxBLY/w0AQ4YMwf79+6WeB0TP3ZHB/nkyW6TJ3tRpFpxOZ9B33oypBczG31F8pOtvrVnEBw8eFI899pi4+OKLhaIo4pRTThFLly4V7e3tWg+VEBy1REIkdppvPcsMRNrU0VlOp1Nq/7y8PFFeXm7IqC51tEXoiAuOWqJ4qSMC9fwmKisrTR+xaCT+jvSTrb/jGn790UcfiTvvvFO43W4xYMAAceWVV2p6/saNG8UVV1wh8vPzBQCxfv36oL/39PSIX/ziF2Lo0KEiIyNDjB8/Xnz44YeaXoOBDCV6GLHs+lAymzrUXGbf7OxswwM1q67BRfYWb7BfUFBgq+8gf0f6JGz49VdffYWnnnoKd9xxB7788ktNq3I+++yz2LRpE84991yUlJRg/fr1uOqqq/x//81vfoP77rsPTzzxBEaMGIFf/OIXePvtt/Hee+8hIyND6jXYtdS/JWMYsezSBjK8Xi/a29sxffp0zc+N1s0UOLR77969yMvLQ0FBQdjutlROxqTkqKur0/WdDqQoiiFdqIn6bvN3pJ1pXUuqjRs3ilmzZonBgweLrKwscdNNN4ktW7boPVyfFpmenh4xdOhQ8cADD/gf+/LLL0V6erqoq6uTPi5bZPq3ZEwqJTORnsvlkp5sL56713CT40WbbK+/rKprJ4meCDIRjOh+jXfix/68qrRdmNK11NbWJn7961+LU045RSiKIi666CLx2GOPiYMHD8ZVWCH6BjLbt28XAMS2bduC9rv44ovFrbfeKn1cBjL9m2w3T21traGvK9MvLtt3Hisw0hKo6Z1p2GypWFkbIVUrWyO+0/HchHDWanswPJCZNGmSOOaYY8TQoUPFbbfdJt5///24CxlUkJBAZtOmTQKA+Ne//hW035QpU8S1114b8Thff/216Ojo8G+tra0MZPqxZE7zLdMvLtt3Hinokd1qa2s1JVgascRBPO9TKlTW8Ur1yjbe77Tem5BYvwOjlvig+BkeyFx55ZXi6aefNu3DNSqQWbJkSdgvJwOZ/smI9ZLiff1YLQ2yrRHxrL/k9Xo1N+eHBndmtJqkemWtV3+pbMN9p2VH6MW6CYn0fU32GkZsfZSXkFFLRgoNZPR2LbFFhkKl0vDH7u5usXjxYumLfGCFp3U01apVq/yva0arSX+prPVIdmWbSOEqdpmgPdr3I9r3NVndzbHKRX3ZPpBRk32XLVvmf6yjo4PJvqRLKg1/1NKyEhioaW2RmT17thAidl5NfX29qeeRCpW1VsmsbK2iu7tbVFZWRvxeR7oJidXKF+mYZn/v2PqonS0CmQMHDoht27aJbdu2CQBi+fLlYtu2beLTTz8VQgixdOlScdxxx4kNGzaIt956S0yePFmMGDFCHD58WPo1GMiQKlWadGUTJUPv9PRMQrZ69eqYz3E4HGLt2rWaz4OVdWQM8v5Ny02ITCufy+USBQUFCe1uZuujPrYIZCL9WGfNmiWE+PeEeEOGDBHp6eli/Pjx4oMPPtD0GgxkKBXFSpSMNPtpQ0ODpkBGSyKm1jtKVtaRJTu3y2pkb0Jkv1OVlZUJ7W7md10fWwQyicBAhlKV3u6y+vp6kZaWpimgkdm0VqysrKNLRm6XlVot9ZRFSytfIrub2fqoDwOZXgxkKJXpudh3d3eLwYMHGx7IABCNjY2aypNKidhmSGRla6VEVL1l0drykajAjS0y+jCQ6cVAhsxipbtXLRobG00JYgCInJwczZVPKiVimyER3zMrJaLGUxartvJZtVxWx0CmFwMZMoOV7l610jJ8O95NtiK0a1CYCqyUiGpEWazaymfVclkZA5leDGTIaMm4e+3q6hJVVVVi3rx5oqqqSnR1dek+ViIDGb0VIQObxLFSt4dsWRYvXqx58kgrtPJZtVxWxUCmFwMZMlIy7l4rKiqEw+EIeh2HwyEqKip0Hc/MriUjKkI7t3bZkZUSUbVO2hjte2HVYJjlksdAphcDGTJSou9eKyoqor6OnmCmu7tb8zTwRmwyFaGVcjWsxqyKxo4tMvxeGMuqNw8MZHqlSiBjxWi5PzLz7jX0Mz506FCflpjQzeFw6Opm0jqfjBFbrIrQjNauVPndmFnRWCkRVc+q2HZJlLXqdzHe5Gozz4mBTK9UCGSsGi33R2bdvYb7jLOzs6Veq6qqSgih7aKS6EDG5XLFvMjF+96Gnn99fX1K/G4S0UplpURUvatiW3noslWv4fHcPCTinBjI9LJ7IMOmdmsx4+411lpGsbZ58+ZpuqjoWaog3s3pdMb8rsq2dpWXl4d9D2XOKfB3Y9U75ECJzMmyUiKqnpXerTqZnJWv4XpvHhJ1Tgxketk5kLHSsEj6NyPvXo0IKubMmaPpoqI1D8GILXDBvkiBg5ZyBZ6T1kBQURThdDoteYccKtH5K8kM7kJfu6urS3i9XnHnnXdKvQeNjY0JK6ssq1/D9XSVJ/KcGMj0snMgY6UkPApm1N1rvEFFWlqaKCgo0HRR0ToyxKxN76KWgedkZOuSFe6QQ1lpRJGZorUoyo6ys2IgY/VruJ7yJfKcZOvvNJBltbe3G7ofGaekpAQ7duyA1+tFbW0tvF4vWlpaUFJSouk48X52U6ZMQVtbW8S/CyHQ2tqK5uZm/2P5+flSx66qqkJ9fT1cLldcZYykra0NpaWl8Hg8AACHw4GampqYzws8p+bmZuzatcuQ8gghAADl5eXw+XyGHDNesp+V7H5W5PF4UFpa2udzVL8fzzzzjNRx9uzZY0bx4mL1a3hRURFcLhcURQn7d0VR4Ha7UVRU5H/MiufEQMbC+sNFLJF8Ph+amppQV1eHpqamuCsrh8OB4uJiTJs2DcXFxXA4HJqPIfvZpaUF/1QdDgcqKiowefJkqecHXlRkL1633HILpkyZ4g/YVq1ahaqqKtx5551SrxlLuMChpKQE5eXlUs9vb283/GIZLvBLJj0VTaLF87vy+XwoKyvzfxcCqY899dRTUsey4nXQ6tfwwJuH0O+Y+u/q6uqga5slzynuth+Ls3PXkpWGRdqd1UcNxPqMDx06FHZm33iT9cLl+QBHE2oj5Uh0dXXFHBaudQssX2VlpfRzzJrcz0pdNVYaURSubPH8rmS/v7m5uQm/DhqRL2SXa7iWrvJEnhNzZHrZOZARwtoXMbuw8qiBwPLp+YxlgopIc82Eu3iFHitcpWRGsvDixYtFd3e31LDwwAulWYGMlfLOuru7RWVlZZ8FOZM9tb0RvystI9USeR008sbHLtdwrdM3JOKcGMj0snsgI4S1hkXajdVHDaj0fsZGzb1SXl4e8f0JvTCZlSxcUFAgNeNwYHn0TGnvdDotf4esCve9yMnJEZWVlUkto1G/Ky3f30RdB8248UnFa3gizomBTK9UCGSEsO6skFZn9VEDgfR8xkaMatFaKSVj+HbgVllZ6S+7bFnURQa7uroidl1Z7Q7Zyi2JRv2utHZTmH0dNPPGx8iFX62CM/smSKoEMqRPqg9fNaJC0XoMmcrH5XKJxsZGU1baDjenhUxFGGuSNSvdIVu9JdHI31WsmXzXrl2bgDM6yqwbH6vm6Fkdh18TwaIZ9gYqKiqC0+mMuo/T6Yw6qkXrcEqZkQ41NTUYP348Tj/9dKlja6F+Vj6fD83NzSgtLYUQIuqoiw0bNoQd4quaM2cO7rvvPuTk5ODIkSOGjm7TI9awcpHk0VVG/q5KSkqwbt06FBQUhP37/Pnz/UP0VUaPQFSZMbQ41vDy0HMjHRISViURW2T6N7uMGtBLZiVrp9MZ9fziGfkUq4/cyG6oWK0roYnKalm0Tponk/Ac6zOJt7ndKi2Jkc7FiN9VaFdLpHMO7Uozs3XD6BYZq7esWR27lnoxkCG7jBqQoVYsq1atElVVVdLTt0e78MZTKUWaVj7w31pXM45VmcVakiB06Hi8wZSW74lRlawVcrtiJRrH87uqqKjQNIRf/Q7W19ebmjdk9I2PFT5HO2Mg04uBDAmRGqMG9Cykp26x7tyNCPYiVeIVFRVRcyBkNnXRST13uEaMspKpwIxMzk12S2KsYFH9PPSMqqqoqND9OeTm5sb1GWk5dyNufKzSsma0RA0+YSDTi4EMqew88iveFbJl7vjiCfZiVeIVFRVxrYnkcrn8n5/W8zWyeyvaMHajuxD0VKhGTuIm835UVlb6R4KFznMTriXKjMkU9XzXY0n0Wmp2apFJZOIyA5leDGTI7uJZGFHr8FU9FaFsJR7Y7VRZWSmGDRumuYKKZ7XeeLu3Qo8bKJGjXSJVqInu1lK3Y489NuLnHhpwVVVVmRrERPuMtOpPM/vKSvSUAAxkejGQIbvT26IQb5Kk7IVcbyWuzlirpYKKJzE53u4t4N/z0YS+F2Z2Ich8DkZWMEZOeBhaUc+bN0/3cfLy8nR99slm9Rw92d95MhKXGcj0YiBDdqe3Ygm8c4/WNRXuYqol6Im3EteytlI8d7jx5BiFbqHvRTK7EIyuYIzsigs9bz0tMmqFv3btWtu2blg1R0/L7zwZ33EGMr0YyJDdaa1YQlsNZLqmAisArXf3WgKRcLq7u0VBQYF0RRxrPaZolYN69/nkk0/G1ToT+l4kswsh0UOG9WxqEKsnRyZcQJ7ovCFZ0V7Lajl6Wn/nyUhcZiDTi4EMhbLaBSUWLTkeobkoXg0rRAe2eESrwNVZe9Vcl1jl0jLiR6aCiieQURmRqxEuwEpGF4IZFYzM4p1atsAgKtaopYULF0b9fSYjb0j2PbPL7L16WvHYIpNEDGQokJ0uNoFkRi1FGh10/PHHS12AVq1aZUq3gmxwITOUN95uFDWIvfTSS02ppGNVsmYE0WZUMEYFMpE+j3DzyDgcDlFRUSFVvkTnDcVi5XWxwtHznUlGqyMDmV4MZEhlt4tNqGg5Hm632z9fi95KJ9rsqvFsgYs8xqImAEcayhtPpW1kjkzgFtrSEamSNSuINrqCMaprKdbvysxFFBOZmGrH2Xv1tuIlutWRgUwvBjIkhD0vNuGEzuyrtqKoM+jGU/GY1SKjXgyNuIsuLy+P6wJs9LkB8nP0RDuv+vp6XS016nsa6X3RU8EY9R1IZjKr7Dk0NjYm7LWsNJrK6BsCsz5rBjK9GMiQEPa82GhhROUjMypI73FlWiNkgk09Q3DNSF5VyyMT/Mq8vp71nbSsN6VFvK1yoUtEJIPsOeTk5MRdAVtl9l4t3ZbxtuJxZt8EYyBDQljnYmOWeCsfmVFLejaHwyFWr14t1aUnG4zl5uZqugCb0cqkpaVDz+vHOn60Fp54gwnZUWiZmZl9vkNal2EwqzLU8p7H2yVihZskPd2WVp/fRggGMn4MZEgIa1xszKS3so500aqvrzdsKvlorSiBgYdsMFZeXq7pAqw3yHM6naKxsdE/f4neSlvv60e6Kzazm1Q2qTwvL088+eSTQd2bWpdfMDPpXkvLYrzdyjJDyh0OR58coEjdxFrLEU/un1Xnt1ExkOnFQIaESL2pwkPpXcMm0kXLrNFLkTav16sp2IxUEVZWVva5w9d6LuEqgHhaD+J9L0ODa61BuVEzt0batAYgiUq619qyqPcmRs9NUrTEcy3vpxFBrVEBlRkYyPRiIEMqOzSl6qW1sgw3aV5gZbdq1SpDA5VY26pVq0RjY2Of0UrRLsqBZa6srOwzqZ5aIWjN+zH6jjTeHJ3Q7k4t3aRmzNwa7nOR/f0kOum+oaEh6ncq2vssS2u3tWyrl5HdltGCtFgjBZOJgUwvBjIUyOpNqbFEurvW2n2h3nVFCgJyc3N1V7yBW2geRaQt1utFqyxl7vCjBbEAwrbkGCmeeVkaGxuDPnPZCQ4jTVZodBecekyZACQZXbxaJoTUQ8s5aQlqZd7PeHP/GhoahNPp1PybSxQGMr0YyFAordn9icjOlxHt7lrr3bTs6B+rbJGCTS13+MkOYrUskKmW3el0hv3MnU5n1G5Sl8tl2syt0bZYwUAyku5lupUDZ6vW+jvX0m2t9T2O9X7GExjKtgwls8udgUwvBjKkl5VmAY616GN9fb3hw6YDj2/0MWWPm5OTIxobGyNeSM3KFzGDlrvxaO9N4N8idZPqWf/KiGHqsQKQRLbIhHY9RmuRC22V0Jv3E6vbWmurV6z3U2/un9bPOlmDIGwRyGzcuFFcccUVIj8/XwAQ69ev9//tyJEj4rbbbhNnnHGG+Na3viXy8/PFjBkzRFtbm6bXYCBDelhpFmCZi47L5RJr1641JegIbb0xqjVHtvsq2szAdhtWH6nCC/d5RmryV7+HTqezT5eg2sIk+74sXrw4aNh9tNeU2Z5//vmo55+opPtwNyFOp7PP+WnpVokVBMu0+BndIqO+rtbcP63lSNbvxxaBzF/+8hfx85//XHg8HgEEBzJffvmlmDBhglizZo14//33xZYtW8QFF1wgzj33XE2vwUCGtOju7tacdGo22YtOZWVl1NEQegOQwHwab8AswvEGTbJJmEDktZoSdYdvZEuOTMCwZMkSqfMKzZ/RM1LL5XLFvbyFui1btizm+xepdUTd4p1QL9YcO2o+VGNjY1zdkuFabWJ9T7QuACv7HmjtNtXaMsQWGUlAcCATzuuvvy4AiE8//VT6uAxkSJbWtXgS9ePWMoJIHaUTbjil3pFI0frXzep2inZRD6wsGhsbRUFBQdRy5OXlaVrHJ7QyCjePTDxdjN3d3X1aUkIrUNkgr7y8POJrmNXVGG2bNGlS2O+KTOuIntmNQz+rWEt16MlX0Zo0HYuRo5aivRfd3d0RAystgS5zZDQAYgcyL7zwglAUJepJff3116Kjo8O/tba2Sr0R1L/pmc02Uc2tVVVVhlx09CRzRjueWYswRtq8EeaPUSvEaJ+fbOAhe07xdDEakVQbuMWa/TfRwUxgMB1tDSjgaJCgd52ocJ+VliUstCxjEO17oKeib2hoiBjMGpWAHq0VSUugy1FLGgDRA5nDhw+L7373u2L69OlRjxOpSZaBDEWiN8nRii0y0cql5y69oqIiatm0to7Es6kz+kaqFGPllMjMcqql7HorMaNXGLdSsAlADB48WDoY1DO6Ss9nFbqpLRRGnbPWa0G4zyUnJ0dUVlYa0voRz5QE6uZ0OpM+LUVKBTJHjhwRV155pTjnnHNinhBbZEgrrRc0s3NkQpuDZefBULfQnJbAcmq9S9d6nkau0xS6xVrqwOVyRU0gjva5xTNiR2slZnSLTKwydHd3i8WLF5vymSRqM3p0lToSLlbisRmT6Zk9kCDeKQmcTqdhAVW8UiaQOXLkiLjqqqvEmWeeKfbt26f5uMyRoVj03CGbdacS7sJSUFCgaTRJ6CR0od0qZucCGZU4GrilpaWZUimq4gkutFRiMsnkZpTBjOApkVvg+RlxLo2NjUKI2CN+9AxjVz/ncDcTiZjZWGsCvJXmygqVEoGMGsSMGjVK7NmzR9dxGchQLHoujGYEMvHM/hptizSUVPYu3Yi7TStt4c4nnu4e2UDPzG6eWGWQ7Va06mcXeH5GdM0FfgeijfjRM1zciIkr4+m2ttuUBNHYIpA5cOCA2LZtm9i2bZsAIJYvXy62bdsmPv30U3HkyBHxgx/8QLhcLvHmm2+K9vZ2/6ZlBAIDGYpFa+6IGV1L3d3dMVtdMjMzdd/Jhyuz3rvNWO9jsis9Peej9y7f5XJJfQ/MDPDCrayspwxXXHFFn+47o1ZAj/SdVHNktAQKRrTIyLagBL5vMvO0xOo2ipTYHLrFE2QkIlhKFFsEMpHe8FmzZomWlhZDPgAGMiRDzwgPIy8Esnkwf/3rX8Mu8Ka1zGZMT661gnE6nWLw4MGGVYzhJogL3WLlyGgNNmQSIhMR4Ml8F7u7u8XUqVNjnmNubq649dZbxdy5c00rr0zSaaSckXiGlsczyijWPC0y3UZaRlXplahJBxPBFoFMIjCQIVlam/6NbJqV7eYpLS0VQvz7DlJrEmdtba2milVLF5psk/axxx4rKisrxfPPP29o5eh0OsXPfvazqPtEG4WlJ5iVSdBMRH5KrO+iEbP2GrnJ5G1FG4YcaxFQvZ9VNLFySWQ/57y8vITMbKx1tl8rYiDTi4EMadHd3S09b4uRLTJaApLAi5CeGTplL7izZ8/WdEGVPa6aaGnGSJpYyx7EqiQijeKIVUFGO67Rw621fhfXrl1r+usDEMcff7w/0TtWMKhnVlzZzypSa6XZC4TKfs7qNAJmBxnJXiTVCAxkejGQIa1k8lWcTqehTbNahlgHVppa7vYVRRHPP/+8pnlpXC6XqK+vj1nB6FnaIVlDgmUSY9Xz1bJidaTjmt0iEy1Pp76+3tQ8l8CtoKDA31UUq8XPyKHGsp9VfX19XK8Vi5bclHiCDC0Bn5VHJMlgINOLgQxp1d3dHTN3Y/DgwQlP9g1XaerJv5BdrDFaxRnaLRArNyVcxaV1fhyjttBuGL1DZWMdN/D4sXI6HA6H7mTgSHk6Zo2Ci7Wpo30SuWZZMm4+wpVBS25KV1eXqKqqEvPmzRNVVVXSCdtGLpdhdQxkejGQIa1kK1i1i8QoWiqewEqzoqIioRVVaKKmzHPC3W1qCd4cDocYPHhw1EpCTyJltIpBa6AVraUnVs5CvHPvhBten6wRZGrAkMjRM8n6zYaSzU3RE5CYPZGeFTGQ6cVAJvWY3Vwq2+WxePFiQ19XCO1DouOtsPRWnurQ2VijpwYPHuyfRTUc2UAosJyRKgl1cUfZO+JYqySnp6dLvx8yLQuxuhNkWraibYGLYyYiwTja1tjYmND5TMz8zRqRuxP6OWsNSBIxkZ4VMZDpxUAmtSSiaTWZgYzWC1a8FZZsK0a8lVo0WkaLDR48uE/XWLhKItYdsdEtFrLfv2jdWF6vVzz55JNi0KBBusuRm5srGhoaEpJgHOu3kcgWGbN+s3qvN0bP7JtKc8NowUCmFwOZ1JGoptVkN1NrGToZb4W1atUqTatr69nUIePRaBktBhytsMvLy8PeIcskUhrVYuFwOOJOIjVjxt9Ii+cmalu8eHFC5zPRMg+TbOuKGdcbvQFJKs3WqwUDmV4MZFJDIptWrZA4GKsy1juPTLgKx+xVqwG5FgstQVmkZRfUSqqxsdHfvRGuwpKdYTXWtmbNmrg/ZzPed0VRYg4bN3OTXctIazAQraVDZmbs0K67SK0rZl1v9AYkbJFhICP1RpC1JfqHHCt3IxGJdZEu2mbcwZs9WZrMRV9rK0lgZaKlC8DI0TwFBQWisrJSOn8iNNiKJydGy/tk9muEfpdirT0UKfk7WmtJuOPk5OT4V2rW87lGCqjMut7oPW4qzdarBQOZXgxkUkMymlatONTRDosyxro4x8of0Hp+lZWV0l0AWoe5a92ifT/MXDQy0paRkaF7Hhm9K45HauHQGqS4XC5/kBjpM1Y3dQh6pONE+8zDBQFmXW/iCUhSZbZeLRjI9GIgkxqS1bSaiAmlZF/DLosyRrvoR6po1En31C4fLcGMlrlKzJ67JrBSCZ2sza4BqOymN8g3MjgPfd+9Xq/0Zx547TDzehNPQJIKs/VqwUCmFwOZ1JCqTataWn20zDJrxS2Zlbla4dx5552mv5aan2J00Km2UDz55JPiW9/6VkLet5ycnJhz96xatUp3kG90cB5ulmM9rSsy5YrnepOomX3tjoFMr1QJZPrTlzeSVGta1TIqIlmztBq1ORwOMWzYMFMqWtlKqqGhQWRmZib9vdCyhQsUZGaeNmpTg0+zfnNmBOdLliyJu0VGiNgTTUZbgFQGr+mxMZDplQqBjBVzNZIlVZpWtYyKMDuvw86bbEVo166dcJVlIpZ2iJVIrfc3p3cdq3g2NUdGS2uu2S0yJIeBTC+7BzL9cVrqWFLhTkZLH3yy1iSy+nbNNddIBXk5OTm2zS0KV1mavdhmrKHten9zyUh2Vs8n3P9HOletv08yj2z9fQzIsnw+H8rKyiCE6PM3IQQURUF5eTkmT54Mh8ORhBImh8PhQHFxcbKLEZf29nbp/d577z2TS2NPPp8PTU1N+Prrr6Pud/jwYXz++ecJKpWxWltb0dzcbPj3XVEUuFwuLF++HPPnz8euXbv8f3O5XKiurkZJSYn/sXh/cx6PB6WlpWGvZWZTr5U5OTnIyMhAW1ub/2/hzhXQ9vuk5GMgY2HNzc1BF5hQQgjTLnRkrvz8fKn9du/ejZ6eHpNLYy5FUXD88ccbHkw8/fTTePrpp2Pud/jwYUNeLy0tDeJoK7Yhx5MVWlkWFxfjV7/6VcznXXvttVi7di0ABJVZURQA8FfgV199NZqbm9He3o78/HwUFRXFfWPk8/n8xzzhhBMi3pAlihAC+/fvR2NjIxwOR8xzlf19yu5HJjO1XcgC7Ny11F+npe4PtMyZErq2kJ029fwmTpyY9LIYsd19991R/56Tk2N4Im5o90VXV1fMpOWcnBzR3d0tKioq+swj43A4Iiaq2rkLSWaTvVYyR8YaZOvvNJBl8a7AXtSujrq6OjQ1NcHn80Xc1+FwoKamRuoudd++fUYW0xAZGRlS+x177LFIS0vD888/b3KJolNbIeJ18skno7KyEjk5OUGP5+TkoLKyEu3t7UhPTzfktQDA7XajqKjI/2+Px4OTTjoJBw4ciPq8Rx99FBs2bMCyZcv6fA99Ph+WLVsGj8cT9LjH40FhYSHGjRuH6dOnY9y4cSgsLOyzXzRqF1K0lmS9jPgMZa+VDocD06ZNi7rPdddd16+69C0tMXFV8ti5RSZV505JRXpGlhk9pNpKo3IGDx4sLrrooqSXw+gttHUscIp8IYwfThw4wZvM+lDqkgmrVq2K2pIXeu0wYkkOsydsjHchTC3XSrbIWANHLfWycyAjhL3mTkmF0UR66BlZpveiH1o5qcFSQ0ODpYZoWymoMvs81c/YyMDU4XCItWvXauqmycrK0rx2k/o7NWKRVK1rZclu6lBvvUtYqJ+TlmslRy1ZAwOZXnYPZISwx9wpiZzrxkoBk95VcvVe9NXJ0cKtU5SIBQj74xar4lQURbhcLkPf//r6+oSsq6UuXimzr7qidSRaVi+PtVVVVYX9fUe6sYu2qeswacH8RGtgINMrFQIZIaxVeYdK5Fw3VpscUO+dm96LfqSFFznXjHlbXl6e4cdbtWqVqKys7BP8hLY+mH1uXq9Xel6axYsXG/JbiLbJdJeHuwY4nc4+rUqh3X6J+F2TsRjI9EqVQMYoRgdEelsk9LDi5IB679z0XPTVdWTCXchlp+rnpn0rKysz9HiBI4Yi/R7N6qZRt8DfpVGBjExOn8vlijjyS8vvONz7ZuS1jfmJ1sBAphcDmX8zozUjUXcuiQyYtNB7/nr6+51Op6ioqOg3+SdW2YxukZH5nq5atcq08wkNGIzqWhJCPqfPLt3ldslPTFUMZHoxkDnKrNaMRPUlW7WpN547N639/QxgkrdlZWVF/bvT6dSUIxPre1pVVWXauYQGDEYl+wZ+r2WCFCt3l6vsEHClMgYyvRjImNuakagAw8rJd/HcuYW7UKalpSW94uYWvA0YMCDq3wcPHizq6+uljxfre6qlRUZmUcRwq2iHfg+jvYbWitsOQYqsVDoXu2Eg04uBjLnBRqL6kq3aIqOK584t8EI5e/bsuCvd0HwZtuQkZmtsbJSeRybW91T2+15VVeXPm4q3G6ShoaFPq1IyE+mJGMj0YiBjfmtGIvqS7ZB8F++dm1HzkDQ2NkpPoNZfttBp+s3YFi9ebFjrp54J2YzoBmHrA1kJA5leDGQS05qRiL7kVE6+M2K4bWAlacbw3UQEAwDEMcccY+jxsrOzE1JudVSPUd/TaPPIRJtokYEIpQoGMr36eyDT3d0tGhsbow7PNao1IxEX0VRNvot3uG1oJWn08N05c+YkJBiw8xY4qseo72mqft+JZMjW34oQSVxbPQE6OzuRnZ2Njo4OZGVlJbs4CeXxeFBWVhZ1ATd1IbZ169ahpKQkUUWLi8/nQ3NzM9rb25Gfn4+ioiJdi7cZdRwjPPXUU7jhhht0P9/pdOKRRx5BSUkJfD4f7r77bvzqV78yrHxOpxP79+837Hipxul0Yvfu3UHfn1T8nhIlknT9nZCwKon6a4uM7PTm0e7uUrmZ2mozBMc73DbaZHncjs4FY2bSM1tIiIzHrqVe/TGQkcmPyMnJEY2NjRGDE6tV9EYya06deAI/IyZAq6ysNLWyzsnJ0XT8uXPniquuuiqpAYzabbp27dqoc/ZUVlaKNWvWRDyGoiiioqIiZX8TRFbEQKZXfwxk4k3uteJSAEYxa06dWIFfrCDHiJwWs5cp0BoorVq1ytCFBPUEMVpnk421Tyq3UhJZDQOZXv0xkIlnuLVVlwIwihkjuGIFfjJ38l1dXQkbFaQnIFA/84aGBulRQFVVVaavGRRt0zubLIMVImuQrb+PAdmCTMKfus97770ndcz8/Pw+jzU3N0dNDhZCoLW1FU1NTXA4HLZLQGxvbzd0P5/Ph7KyMogwOfPqYw888ECfv7W1taG0tNSfZL1582b4fD6p10wkNRm8uroaDocDJSUl+OqrrzBz5syYz83Ly0NRURFcLlfU75SWcixcuBArVqzA559/HnHf8vJyTJ48Oex30uFwoLi4OOpryewTDpNyiZIkEVFVMqVCi4xMvoqWJM9orSqyrTmh3Rh2yRUwukUmnhaHwM8hmV0w0bZwrRpa30PZxHPZcnR3d4vKykpx3HHHBe1TUFCQtO9gKueUESWLLbqWNm7cKK644gqRn58vAIj169dH3PfHP/6xAI42V2th90BGJl9FS0URK89Fb8Vsl/wZrTMEx+pmMCIA8Xq9Se2CibSp099Heg9jBR6xZp1VN6fT2WfRQpfLJSorK23RBZTKOWVEyWSLQOYvf/mL+PnPfy48Hk/UQMbj8YizzjpLDBs2rF8FMjL5Ki6XS9Nw21iTacWq6GMFM3bIn5GdeVXmLtuIAKS2tjau993oTeZzjGfW2VWrVomqqqqgRQytEpRoleo5ZUTJZItAJlCkQGbXrl2ioKBAvPPOO2L48OH9KpAx8i598eLFMSsItTKJd42eZC3cqEWs0Smyd9lGBCChXTDxBjO5ublxBTFaFhns77POWn0xUyI7k62/02BhPT09mDFjBioqKjBq1Cip53R1daGzszNosyvZhFMZp59+OoqLiyMmH3o8HhQWFmLcuHGorq4GgD775uTkSL2WkeU2S0lJCXbs2AGv14va2lp4vV60tLT4Z8aNlcBbXl4On88Hh8OBmpoaAP9OSFWF/juUoihwu90oKiryl2ndunUoKCgI2s/pdGLq1KnSx2tra4PX60V5eXnEcimKgoqKCrhcrqC/uVwu6Vmeo72H/YXRyeNEpENCwioJCNMic++994pLLrlE9PT0CCGEVIvMkiVLwt4R2bFFprKy0rAWmWh3hNFaHwCI8vJy4fV6RWNjY7+4+9Rzlx2pdaKiokLzAoKRulkaGhr65JLEOh7nRTEXW2SIzGP7rqW//e1vYsiQIaKtrc3/mEwg8/XXX4uOjg7/1traastARjaBV82RkU1eDSWTuOl0OkVjY6M4dOhQzLlOHA6H6OrqSvC7ZSy98/BEC0CM6oJRR+yEjhrrr0tNJJvW5HEikmf7QKaqqkooiiIcDod/AyDS0tLE8OHDpY9rxxwZmeBC3SoqKkRDQ0PUfaJVmFrycGRzL+x+92nGXbbRwQSDE+uQTR4nIm1sPyHejBkzMGHChKDHJk6ciBkzZmDOnDlJKlVixJqULtDq1atxwQUX6H4tLX33+/btM/yYVqRO4tbW1hY2T0ZRFLhcLn9uiwy9k6wl6nikn5rbFLrSvMvlQnV1db/KGSJKhqQGMgcPHsTHH3/s/3dLSwvefPNN5OTk4MQTT4TT6Qzaf8CAARg6dChOPfXURBc1obQEAq2trfjv//7viH9XFMU/02m4RN9ws/vGy4xjJpKawFtaWgpFUYKCmdCZbomAo8HM5MmTObMvURIkddTS3/72N5xzzjk455xzAAALFizAOeecg7vuuiuZxUo6rYHA3r17I/5N9C4p0NzcHPbvautDrBExMkJH4dhZpBFEWkb1UP+itpJNmzYt6ghBIjKWIsK1naeQzs5OZGdno6OjA1lZWckujhSfz4fCwsK416cJVFtbi2nTpoX9m8fjQWlpKQCE7UqRoQZCqVbJc/0cIqLkkK2/LT2PTH8VODeJUaK18kRqfYgmLy8v6N+p2lLBu2wiImtji4yFzZ8/3z85XTQ5OTn44osvoiamtrS0xKyEfT4fmpqacO2110ZcXVg93scff4zNmzezpYKIiEzBFpkUcMUVV0jtd8sttwCIPLOsbGKqw+HA+PHj8eijj/pnf410vIEDB7KlgoiIko6BjIX5fD6p/caOHWtoYioTXYmIyC4sO48MIeJIo3D73XPPPYYO/+RwUiIisgMGMimEk64REVF/w64lC5MNIhhsEBFRf8VAxsKKi4sxePDgqPsMHjyYgQwREfVbDGQsLj09Pa6/ExERpTIGMhbW3NyM/fv3R91n//790knBREREqYaBjIXJLh5p99WmiYiI9GIgY2Gyi0fafbVpIiIivRjIWNjYsWNjztvicDgwduzYBJWIiIjIWhjIWNjmzZtjzu7r8/mwefPmBJWIiIjIWhjIWBhzZIiIiKJjIGNhzJEhIiKKjoGMhRUVFcHlckXdx+12o6ioKEElIiIispaUX2tJCAEA6OzsTHJJ9CkpKcFvf/vbiH+/+uqr8dVXXyWwREREROZT6221Ho9EEbH2sLldu3bB7XYnuxhERESkQ2tra9TeiZQPZHp6evCvf/0LmZmZUBQl2cWJS2dnJ9xuN1pbW5GVlZXs4hiO52dvPD/7SuVzA3h+diWEwIEDBzBs2DCkpUXOhEn5rqW0tLSYeSZ2k5WVlVJf1lA8P3vj+dlXKp8bwPOzo+zs7Jj7MNmXiIiIbIuBDBEREdkWAxkbSU9Px5IlS5Cenp7sopiC52dvPD/7SuVzA3h+qS7lk32JiIgodbFFhoiIiGyLgQwRERHZFgMZIiIisi0GMkRERGRbDGSS7KGHHkJhYSEyMjIwZswYvP7661H3X7t2LU477TRkZGRg9OjR+Mtf/hL0dyEE7rrrLuTn52PQoEGYMGECPvroIzNPISot5/foo4+iqKgIxx9/PI4//nhMmDChz/6zZ8+GoihB26RJk8w+jYi0nN/jjz/ep+wZGRlB+1jp89NybsXFxX3OTVEUXH755f59rPTZvfzyy7jyyisxbNgwKIqCp59+OuZzmpqa8N3vfhfp6ek4+eST8fjjj/fZR+vv2Sxaz8/j8eCSSy5BXl4esrKycOGFF+L5558P2ufuu+/u8/mddtppJp5FeFrPrampKex387PPPgvaz66fXbjflaIoGDVqlH8fq3x2ZmEgk0Rr1qzBggULsGTJEmzduhVnnXUWJk6ciD179oTdf/PmzZg2bRpuvPFGbNu2DVdddRWuuuoqvPPOO/597r//fvz2t7/FH/7wB7z22ms49thjMXHiRHz99deJOi0/refX1NSEadOmwev1YsuWLXC73bj00kvR1tYWtN+kSZPQ3t7u3+rq6hJxOn1oPT/g6MybgWX/9NNPg/5ulc9P67l5PJ6g83rnnXfgcDgwZcqUoP2s8tl99dVXOOuss/DQQw9J7d/S0oLLL78c48aNw5tvvony8nLcdNNNQZW9nu+DWbSe38svv4xLLrkEf/nLX/D3v/8d48aNw5VXXolt27YF7Tdq1Kigz++VV14xo/hRaT031QcffBBU9hNOOMH/Nzt/djU1NUHn1draipycnD6/PSt8dqYRlDQXXHCBmDt3rv/fPp9PDBs2TNx3331h97/22mvF5ZdfHvTYmDFjxI9//GMhhBA9PT1i6NCh4oEHHvD//csvvxTp6emirq7OhDOITuv5heru7haZmZniiSee8D82a9YsMXnyZKOLqovW81u5cqXIzs6OeDwrfX7xfnZVVVUiMzNTHDx40P+YlT67QADE+vXro+5z2223iVGjRgU9NnXqVDFx4kT/v+N9z8wic37hnH766aKystL/7yVLloizzjrLuIIZQObcvF6vACC++OKLiPuk0me3fv16oSiK2LFjh/8xK352RmKLTJIcOXIEf//73zFhwgT/Y2lpaZgwYQK2bNkS9jlbtmwJ2h8AJk6c6N+/paUFn332WdA+2dnZGDNmTMRjmkXP+YU6dOgQvvnmG+Tk5AQ93tTUhBNOOAGnnnoqfvrTn2L//v2Gll2G3vM7ePAghg8fDrfbjcmTJ+Pdd9/1/80qn58Rn92KFStw3XXX4dhjjw163AqfnR6xfntGvGdW0tPTgwMHDvT57X300UcYNmwYRo4cieuvvx47d+5MUgm1O/vss5Gfn49LLrkEmzZt8j+eap/dihUrMGHCBAwfPjzocTt/drEwkEmSffv2wefzYciQIUGPDxkypE/freqzzz6Lur/6Xy3HNIue8wt1++23Y9iwYUEXmEmTJuHJJ5/Eiy++iN/85jfYuHEjLrvsMvh8PkPLH4ue8zv11FPx2GOPYcOGDVi1ahV6enowduxY7Nq1C4B1Pr94P7vXX38d77zzDm666aagx63y2ekR6bfX2dmJw4cPG/J9t5Jly5bh4MGDuPbaa/2PjRkzBo8//jiee+45PPzww2hpaUFRUREOHDiQxJLGlp+fjz/84Q9oaGhAQ0MD3G43iouLsXXrVgDGXKus4l//+heeffbZPr89u352slJ+9Wuyp6VLl2L16tVoamoKSoi97rrr/P8/evRonHnmmTjppJPQ1NSE8ePHJ6Oo0i688EJceOGF/n+PHTsW3/nOd/DHP/4R99xzTxJLZqwVK1Zg9OjRuOCCC4Iet/Nn15/U1taisrISGzZsCMojueyyy/z/f+aZZ2LMmDEYPnw46uvrceONNyajqFJOPfVUnHrqqf5/jx07Ftu3b0dVVRX+7//+L4klM94TTzyB4447DldddVXQ43b97GSxRSZJcnNz4XA4sHv37qDHd+/ejaFDh4Z9ztChQ6Pur/5XyzHNouf8VMuWLcPSpUvx17/+FWeeeWbUfUeOHInc3Fx8/PHHcZdZi3jOTzVgwACcc845/rJb5fOL59y++uorrF69WurimKzPTo9Iv72srCwMGjTIkO+DFaxevRo33XQT6uvr+3SlhTruuOPw7W9/2xafX6gLLrjAX+5U+eyEEHjssccwY8YMDBw4MOq+dv7swmEgkyQDBw7EueeeixdffNH/WE9PD1588cWgu/ZAF154YdD+APDCCy/49x8xYgSGDh0atE9nZydee+21iMc0i57zA46O2rnnnnvw3HPP4bzzzov5Ort27cL+/fuRn59vSLll6T2/QD6fD2+//ba/7Fb5/OI5t7Vr16Krqws33HBDzNdJ1menR6zfnhHfh2Srq6vDnDlzUFdXFzRsPpKDBw9i+/bttvj8Qr355pv+cqfCZwcAGzduxMcffyx1E2Hnzy6sZGcb92erV68W6enp4vHHHxfvvfee+NGPfiSOO+448dlnnwkhhJgxY4ZYtGiRf/9NmzaJY445Rixbtkz885//FEuWLBEDBgwQb7/9tn+fpUuXiuOOO05s2LBBvPXWW2Ly5MlixIgR4vDhw5Y/v6VLl4qBAweKdevWifb2dv924MABIYQQBw4cEAsXLhRbtmwRLS0torGxUXz3u98Vp5xyivj6668tf36VlZXi+eefF9u3bxd///vfxXXXXScyMjLEu+++69/HKp+f1nNT/cd//IeYOnVqn8et9tkdOHBAbNu2TWzbtk0AEMuXLxfbtm0Tn376qRBCiEWLFokZM2b49//kk0/Et771LVFRUSH++c9/ioceekg4HA7x3HPP+feJ9Z5Z+fyeeuopccwxx4iHHnoo6Lf35Zdf+vf52c9+JpqamkRLS4vYtGmTmDBhgsjNzRV79uyx9LlVVVWJp59+Wnz00Ufi7bffFmVlZSItLU00Njb697HzZ6e64YYbxJgxY8Ie0yqfnVkYyCTZ7373O3HiiSeKgQMHigsuuEC8+uqr/r99//vfF7NmzQrav76+Xnz7298WAwcOFKNGjRJ//vOfg/7e09MjfvGLX4ghQ4aI9PR0MX78ePHBBx8k4lTC0nJ+w4cPFwD6bEuWLBFCCHHo0CFx6aWXiry8PDFgwAAxfPhwcfPNNyflYqPScn7l5eX+fYcMGSL+67/+S2zdujXoeFb6/LR+N99//30BQPz1r3/tcyyrfXbqkNzQTT2nWbNmie9///t9nnP22WeLgQMHipEjR4qVK1f2OW609yyRtJ7f97///aj7C3F0uHl+fr4YOHCgKCgoEFOnThUff/xxYk9MaD+33/zmN+Kkk04SGRkZIicnRxQXF4uXXnqpz3Ht+tkJcXSahkGDBolHHnkk7DGt8tmZRRFCCJMbfYiIiIhMwRwZIiIisi0GMkRERGRbDGSIiIjIthjIEBERkW0xkCEiIiLbYiBDREREtsVAhoiIiGyLgQwRERHZFgMZIrKk2bNnQ1EU/+Z0OjFp0iS89dZbffY9cuQIcnNzsXTp0rDHuueeezBkyBB88803ZhebiBKMgQwRWdakSZPQ3t6O9vZ2vPjiizjmmGNwxRVX9Nlv4MCBuOGGG7By5co+fxNC4PHHH8fMmTMxYMCARBSbiBKIgQwRWVZ6ejqGDh2KoUOH4uyzz8aiRYvQ2tqKvXv39tn3xhtvxIcffohXXnkl6PGNGzfik08+kVoVmIjsh4EMEdnCwYMHsWrVKpx88slwOp19/j569Gicf/75eOyxx4IeX7lyJcaOHYvTTjstUUUlogRiIENElvXMM89g8ODBGDx4MDIzM/GnP/0Ja9asQVpa+EvXjTfeiLVr1+LgwYMAgAMHDmDdunX44Q9/mMhiE1ECMZAhIssaN24c3nzzTbz55pt4/fXXMXHiRFx22WX49NNPcdlll/mDnFGjRgEApk2bBp/Ph/r6egDwBz1Tp05N5mkQkYkUIYRIdiGIiELNnj0bX375JZ5++mn/Yz6fD9nZ2SgvL8dPf/pTHD58GAAwYMAADB8+HAAwc+ZMtLS0oLm5GRdddBFOO+00rFixIhmnQEQJcEyyC0BEJEtRFKSlpeHw4cMoKCgIu8+NN96I4uJiPPPMM9i8eTMeeOCBBJeSiBKJgQwRWVZXVxc+++wzAMAXX3yBBx98EAcPHsSVV14Z8TkXX3wxTj75ZMycOROnnXYaxo4dm6jiElESMEeGiCzrueeeQ35+PvLz8zFmzBi88cYbWLt2LYqLiyM+R1EU/PCHP8QXX3zBJF+ifoA5MkRERGRbbJEhIiIi22IgQ0RERLbFQIaIiIhsi4EMERER2RYDGSIiIrItBjJERERkWwxkiIiIyLYYyBAREZFtMZAhIiIi22IgQ0RERLbFQIaIiIhsi4EMERER2db/Bxp0Fs7BWTqCAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -3929,7 +4075,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e62fe604",
+   "id": "c5a95008",
    "metadata": {},
    "source": [
     "## Step 3. Compare with other color-magnitude diagrams for Pleiades\n",
@@ -3944,7 +4090,7 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "d1c19673",
+   "id": "e936497f",
    "metadata": {},
    "outputs": [
     {
@@ -3982,7 +4128,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_2275/2733767379.py:11: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n",
+      "/tmp/ipykernel_2265/2733767379.py:11: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n",
       "  ind = int(match[0])\n"
      ]
     }
@@ -4006,7 +4152,7 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "8da8e314",
+   "id": "9138ee06",
    "metadata": {
     "tags": [
      "output_scroll"
@@ -4024,7 +4170,7 @@
      "data": {
       "text/html": [
        "<div><i>Table length=270</i>\n",
-       "<table id=\"table139800524338272\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140573085594912\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>recno</th><th>HII</th><th>Vmag</th><th>B-V</th><th>xpos</th><th>ypos</th><th>Dist</th><th>Mult</th><th>Rem</th><th>Mass</th><th>MassA</th><th>MassB</th><th>MassC</th><th>MassD</th></tr></thead>\n",
        "<thead><tr><th></th><th></th><th>mag</th><th>mag</th><th>arcmin</th><th>arcmin</th><th>arcmin</th><th></th><th></th><th>Msun</th><th>Msun</th><th>Msun</th><th>Msun</th><th>Msun</th></tr></thead>\n",
        "<thead><tr><th>int32</th><th>int32</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>int16</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th></tr></thead>\n",
@@ -4038,7 +4184,6 @@
        "<tr><td>8</td><td>153</td><td>7.51</td><td>0.15</td><td>-44.39</td><td>57.94</td><td>72.99</td><td>1</td><td></td><td>1.74</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
        "<tr><td>9</td><td>157</td><td>7.9</td><td>0.34</td><td>-45.12</td><td>-27.97</td><td>53.08</td><td>2</td><td>SB</td><td>2.1</td><td>1.39</td><td>0.72</td><td>--</td><td>--</td></tr>\n",
        "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
-       "<tr><td>261</td><td>30419</td><td>9.35</td><td>0.58</td><td>-144.87</td><td>195.18</td><td>243.07</td><td>2</td><td>PHB</td><td>2.09</td><td>1.09</td><td>1.0</td><td>--</td><td>--</td></tr>\n",
        "<tr><td>262</td><td>30679</td><td>12.2</td><td>1.0</td><td>-89.22</td><td>117.71</td><td>147.7</td><td>1</td><td></td><td>0.77</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
        "<tr><td>263</td><td>30700</td><td>11.14</td><td>0.71</td><td>-86.02</td><td>122.48</td><td>149.67</td><td>1</td><td></td><td>0.97</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
        "<tr><td>264</td><td>30909</td><td>8.58</td><td>0.29</td><td>-23.22</td><td>166.47</td><td>168.08</td><td>1</td><td></td><td>1.47</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
@@ -4066,7 +4211,6 @@
        "    8   153    7.51    0.15  -44.39 ...    1.74      --      --      --      --\n",
        "    9   157     7.9    0.34  -45.12 ...     2.1    1.39    0.72      --      --\n",
        "  ...   ...     ...     ...     ... ...     ...     ...     ...     ...     ...\n",
-       "  261 30419    9.35    0.58 -144.87 ...    2.09    1.09     1.0      --      --\n",
        "  262 30679    12.2     1.0  -89.22 ...    0.77      --      --      --      --\n",
        "  263 30700   11.14    0.71  -86.02 ...    0.97      --      --      --      --\n",
        "  264 30909    8.58    0.29  -23.22 ...    1.47      --      --      --      --\n",
@@ -4110,13 +4254,13 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "id": "672d97aa",
+   "id": "ec5a5009",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f261cb03ac0>]"
+       "[<matplotlib.lines.Line2D at 0x7fd991d46200>]"
       ]
      },
      "execution_count": 22,
@@ -4125,7 +4269,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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rVlYCbT28ZD3xBCAXdk49FRg92rwCExEROYTe83dSA+LZOcCkgtKw/ps2bUJubu6xcWQKC9U39OtfA3KNgVM4jgwREZETJRRkXnzxRaxYsQL19fU4HHcCrpQboTZDFRUVtauRAcJhpqmpKTKD9KqKCoxV25BSj6amJmDvXgYZIiIiBYYb+z788MO45ppr0Lt3b2zcuBFnnXUWevToge3bt2PSpElWlNG2pMa+Sj2XOI4MERGRtQwHmf/+7//G448/jj//+c9wu92YM2cO3nrrLdx0001oaGiwooy2JQ3r7/P5FLucCyFQWV+vPGmkVkNgIiIiUmQ4yNTX12PMmDEAwgPCHThwAEC4W/by5cvNLZ0DlJSUoKqqCo2NjRg2bJjsDNLHDRoUbuuyYUP7JRRKU8mJiIicL6EpCv79738DCHcz/uCDDwAAO3bskB1TJVlfffUVpk+fjh49eiA3NxfDhg3DJ598Yvp+zBB/qylmBumCgvAIvfFL375pLjUREZFzGQ4yY8eOxd///ncAwDXXXINbbrkFF154IaZNm2b6TMnff/89zjnnHGRnZ+O1117Dv/71L/zpT3/CiSeeaOp+zBJ/q8nn8yEUCqm/Lnl5yredOI4MERGRKsPjyLS2tqK1tRWdO4c7PD333HN4//33MXDgQFx33XVwm9jmY+7cuVi3bh3efffdhLdh5TgypqmvD/dOitfcDOTktH88L489mYiIKKPpPX8nNSCe1U4//XRMmDABX375JdauXYuTTz4Z//Vf/4Vf/epXis9pbm5Gc3Nz5N/79+9Hfn6+vYOMnPp6oLg43AU7HseXISKiDGfpgHhNTU3YtGkTvvnmG7S2tsb87eKLL05kk7K2b9+ORx99FLfeeivuvPNOfPzxx7jpppvgdrsxa9Ys2efcf//9KC8vN60MWkKhEMrLy1FbW3tsALySEu0nKtXCSLUte/fKhxiA48sQERG1MVwj8/rrr2PmzJnYK3MSdrlckRmwzeB2u3HmmWfi/fffjzx200034eOPP8b69etln5PKGplQKITS0tJIo17pv8FgUD3M6Klt2btXfVqDDRvCjYWJiIgykN4aGcONfW+88UZcfvnl2LVrV6S9jLSYGWIAoG/fvjj99NNjHhs8eDDq6+sVn5OTk4OuXbvGLFYpLy+PhBfg2AB48+bNU3+intoWIiIi0mT41tKePXtw6623onfv3laUJ8Y555yDmpqamMdqa2vh9Xot37ceSnMtxZfZErt2hSejjMeGwERE1IEYDjI/+9nPsGbNGpx22mlWlCfGLbfcgjFjxmD+/PmYOnUqPvroIzz++OO2GfJfbq4ll8uF4uJi63deUsKJJomIqMMz3Ebm0KFDuPzyy9GzZ08MGzYM2dnZMX+/6aabTC3gypUrcccdd2Dr1q045ZRTcOutt6r2WopnZfdrpTYymmPHVFZqt3/Jy0OT1wu5EWaaAch0yo59PtvPEBGRg1nWa2n58uV488034fF4sGbNmpgh+V0ul+lBZvLkyZg8ebKp2zSLNADevHnzUFNTg+LiYgQCgeQHBty1CwBwq9eLhro6SElzH4A9AM4uLMTiL75Ibh+UeI8zIiKyD2FQ7969xX333SdaWlqMPjUtGhoaBADR0NCQkv0Fg0Hh8/mEx+MRPp9PBIPB9ivV1Qnh8QgBtF9ycsKLzN8OASIfEKsqKuSfKy0bNqTkWJ0sGAwKAMLlcsX8V/b9IiKilNN7/jZ8a+mkk07Cxx9/nJI2MmZI5ci+hrpjK40js2sXoFID9XZFBcaOHcuu2Uny+/2y7Zt8Ph+qqqrSVzAiIgJgYffrWbNm4fnnn0+qcJnKUHfsBCeRHDt2rBVF73DS2uOMiIhMY7iNTEtLC/74xz/ijTfegM/na9fY98EHHzStcE6TspOjNNGk0oB6nGhSU1p7nBERkWkMB5nq6moMHz4cAPDZZ5/F/C264W9HJHdylIRCIe2GpPX1wObN2jsqKDg2+m88jiOjSyAQkL0NGAgE0l00IiIywNaTRpohnW1k4qlOXaA2bUE0tn8xTSgUMr/HGRERmSIjZr82QyqDDBA+OV511VVoigskmg1JtcaWAQC3GwiFjrWjYe0LERFlKEtnvyZlSjUuprSVOXw4tkeT1ii+WjNsExERORyDjAVS1pBUmmBSLpTomWGbYYaIiBzOcPdr0hYIBCINSAHoakj69ttvJ7SvuZdcgtE5OZg2cCDefuCBcIABOMM2ERF1CIaDzDvvvIOjR4+2e/zo0aN45513TCmU00lTF/h8Png8Hvh8PtX5l0KhEG4rK0toXwu+/BLrDx/G859/jrFlZWg57TTgH/8A3n1X/Ylt0yAQERE5meHGvllZWdi1axd69eoV8/h3332HXr16oaWlxdQCJivVjX0T4ff7sW/TJmwBkJuqnS5bBlx1Var2Ribh/FBE1FFY1tg3+pZJtO+++w7HH3+80c0RwgPpNQEoBhA9lJ0LwCAAz1ix07178fYDD2DJkiWor69HQUEBrrvuOow95xwgR2ZubTYQTrv47v3V1dUoLS1V79ZPRJThdNfISD+Ur7zyCiZOnIicqJNdS0sLNm3ahOLiYrz++uvWlDRBTqmRkWsc7PV60fLFF6iB+TU1rVlZ6CRTeyYQDlDtsIFw2nF+KCLqSEyfa6lbt27o1q0bhBDo0qVL5N/dunVDnz598J//+Z9YtmyZKYXvaJQaB0+dOhU7Ea6pGRG1fDR7dtL7lAsxgEKIAdhA2AY4PxQRUXu6by09+eSTAIDCwkLcdtttvI1kIqlxcPwos7///e/hcrmwUwjsbFvX5XLhwVdfxXNpLTGlA+eHIiJqjyP72lhubm67EYIBYGBODmpdLu3pDJS43eHB9Yzi9AhpFd9GRvqvWo84IiKnMv3WkmTPnj2YMWMG+vXrh86dOyMrKytmIfMUFRW1a1jtcrlw3KBB4fYq996rb0NPPBEOIdISCllQWrKa0W79REQdgeFeS1dffTXq6+tx9913o2/fvh1+xmsrqc7QXFAAnHKKvg35/Qh98UWk2+7F/fvj+WQKxqkP0qakpIQ9lIiIohgOMu+99x7effddnHHGGRYUh6IptZ0xegW+LhhE6fz5kSD0weefoxEGe0J5POGgwqkPiIjIRgwHmfz8/HY9J8ha0usthIh97bt31/X8DX/9K0YAyBYCUsuYnwEYlp+PBfffH96ONKN2c7P6ODKVldpTHzDIEBFRihhu7Pvmm2/iT3/6E5YsWYLCwkKLimUeJzf2VWrcGRkArb4eKCoKhw8dlMaIaQJwyaBBuO6++7RvW1RWAiNHKv+dDYKJiMgEes/fhoPMiSeeiEOHDuHo0aM47rjjkJ2dHfP3f//734mV2CJODjK6BkCrrweefhq4++6k9nUVgM0AHqiowNixY5XbuzDIEBFRClg2RcGiRYuSKRcZoGsAtIICYPjwpPcVmQZBmryS7V2IiMgBDAeZWbNmWVEOkqF7ADSpfYuZmprCM2gPHhz7OGfNJiIiGzEcZABg27ZtePLJJ7Ft2zY89NBD6NWrF1577TUUFBRgyJAhZpexw1Ltfh0tLy9cg5LoAHlKpk9v/1hOTniRa5cj9WwiIiJKEcMD4q1duxbDhg3Dhx9+iFAohIMHDwIAPv300/YnWEqK7gHQCgrCt4E2bACsnu+quRn4wx/C+5GWlSvD++atKCIiSjHDQWbu3Ln4f//v/+Gtt96C2+2OPD527Fh88MEHphaOwmGmqqoKjY2NqKqqigkxoVAIfr8fubm58E+ZgtAXXwA//nG4ZkSGaZ3mb745XFsjLT/7GQfDIyJDYn6//H6EOOI4JchwkKmurpYdkK1Xr17Yy9mRU0bqml1dXY2mpiZUV1ejtLQUoU8+idTOTBswACMRnjH7pwD0ddJOAGfGJiIDFH+/GGYoAYaDTPfu3bFLpsHnxo0bcfLJJ5tSKNJWXl4eaTMDINKGZt68eeGakREj8Pcvv0QlgI0AdgOQr6cxyebN4a7gREQaVH+/iAwy3Nj3iiuuwO23344XXngBLpcLra2tWLduHW677TbMnDnTijKSDD1ds+V6PVlm+nT5Ltucl4mI4ugaWoJIJ8M1MvPnz8egQYOQn5+PgwcP4vTTT8e5556LMWPG4He/+50VZSQZSjNjR3fNDgQCkSudlGhqwtxzzsHonBxMGzgQ6+66Kzzy8MiR7ZfiYtbgEHVQen6/iPQyFGSEENi9ezcefvhhbN++HStXrsSyZcuwZcsW/O1vf0NWVpZV5aQ48SFFrmt2dK+nnKiG2botWxbujWSgN9SCL7/E+sOH8fznn+Oc+fOVp09guxqijKXVkFfP7xeRbsKAlpYWkZ2dLWpra408La0aGhoEANHQ0JDuopguGAwKv98vPB6P8Pv9IhQKKa+8YYMQgP7F4xGvPvaY8Pl8wuPxiPGDBomj2dnGtqG1bNiQuheLiFIiGAwKAMLlcsX8NxgMtltP9+8XdUh6z9+G51oaMmQIli5dirPPPtuCWGU+J8+1ZKr6+vDtHLlB89xuIBSKGSH4tY8/xk9//euYwfj6C4FXr7wSQ5cvN6dMnJeJKOPomiOOSAfL5lpasGABysrK8Oijj2Lo0KFJFZJSSBo0T2fD27nXXNOuV8GXLheWvfceFqSivETkSGzIS6lmOMjMnDkThw4dgt/vh9vtRm5ubszf7Tb7NUUpKNDdU0jpx2jL7t1WlMxc7ClFlDa654gjMglnv+5gQqEQysvLUVtbi6KiIgQCAZSUlLRbT+nHyFNYCGzdmnxBzJyXKTq47NoFlJQAhw/L75PTKBBZSvcccURmsayVjgmOHj0qfve734nCwkLh8XjEqaeeKubNmydaW1t1byOTG/saZaQRntfrFQjPahCz7qqKiuQb+S5bJkRdXWRfUoNin8/Xriya6uqE8HjYwJjIRtiQl8yg9/ydVJBpbGwUDQ0NMYuZ7rvvPtGjRw+xcuVKsWPHDvHCCy+IE044QTz00EO6t8Egc4zP54sEkuiA4vf7I+vEhx1p8Xq94R8jo8FBbrn3XiFWrhSrKirEcEAUxIUlQ2HGaG8sBhkiIkewrNfSDz/8gNtvvx0rVqzAd9991+7vLS0tCdUMyZk8eTJ69+6NpUuXRh4rLS1Fbm4ulukc14S9lo7Jzc1Fk0yvJY/Hg8bGRgA6exzEt0HZvDk8sm+CGgEUA9gpty8tlZXhAfb00ugppffWGxERWcuyXktz5szB6tWr8eijj2LGjBlYvHgxvvrqKyxZsgQLFpjbn2XMmDF4/PHHIyeVTz/9FO+99x4efPBBxec0NzejOWoQtv3795taJifT0whPV48DA42G9cgF8B8AtgDoIwR6/vOfwDPPAN27H+sSblZD3c2bY/8dtV1pIjvpnr40kV0wGGSYISKyK6NVPfn5+WL16tVCCCG6dOkitm7dKoQQ4umnnxaTJk0yujlVLS0t4vbbbxcul0t07txZuFwuMX/+fNXnBAKBmFsi0sJbS8ptZKLvX+u5/SRty+fziezsbHG2223uQHlyi9stxMqVkbY1EUZvLcUvHk9km3qPnYiIrGdZG5njjz9e1LX98J988sniww8/FEIIsX37dnH88ccnUFRly5cvF/379xfLly8XmzZtEk8//bQ46aSTxFNPPaX4nKamppg2Ozt37mSQiaLVCE9P2JHWkZbhVocYheAhhEg+yES1m/F4PLIh2OPxpOS9ISKiY/QGGcOTRp566qnYsWMHAGDQoEFYsWIFAOB///d/0b17d8M1QmrKysowd+5cXHHFFRg2bBhmzJiBW265Bffff7/ic3JyctC1a9eYhY4pKSlBVVUVGhsbUVVVhcsuu6zd36X5mTweD3w+H0KhUMx65eXlqZuIMl78HE15eeFu1XLcbmDlSt3zRHEiOyIi5zHcRuaaa67Bp59+ivPOOw9z587FlClT8Mgjj+DIkSOqbVcScejQIXTqFJu1srKy0Nraaup+KFZJSYlqm5D4djR7EW6wm6v4DAvpGLH47QcewFiVTYwePRqHBg3ChAkTsGnTJo5/QUTkIIaDzC233BL5/3HjxmHz5s2orKzEgAED4PP5TC3clClTcN9996GgoABDhgzBxo0b8eCDD+IXv/iFqfshY+IbDe9EuNdRHgAXgNGFhXjk66/lB6Wzgkrj41AohFfKylSDTNHhw/hbdTU2bdqEsrIyvPnmm6ipqUFxcTECgUC7WisiIrIPw92vU+nAgQO4++678dJLL+Gbb75Bv379cOWVV+Kee+6B2+3WtQ12vzaf1LsnnlSDEQqFcNnIkeFakl27gH37gHXrgEcfNacA994LDB8eM8mlUq8mv9+PyZs24T6Vzd0J4H5wYjsiIjvRe/5OKMisWrUKCxcuxOa2rqyDBw/GzTffjHHjxiVeYoswyFgjFAph3rx5+Ne//oWsrCy0tLTg9NNPV67BWL8eGDPGugIpTD+Qm5uLXzY14c8qT70HwMq2/89xu7F+/frwPzg3ExFR2lgWZP77v/8bs2fPxs9+9jOMHj0aAPDBBx/gxRdfxMKFC3HDDTckV3KTMcjYyPr1wPbtmDt3LnZ++SUEgEIA883avsxgd36/H0M3bcIzKk87DEC2fo9zMxERpY1lQaZ///6YO3cufvOb38Q8vnjxYsyfPx9fffVVYiW2CIOM/UQPPHeGEKg0a8MyQSYUCuHF0lI8a+I2iYjIenrP34a7X+/btw8TJ05s9/j48ePR0NBgdHPUAUV38T6Yk4NmC7tyl5SU4ObZsy3bPhERpZfhIHPxxRfjpZdeavf4K6+8gsmTJ5tSKMp80ng2tU1NyPnii3DNh87xXjTV1+PtBx7AtIEDMTonB6+8+CJs26KdiIiSYrj79emnn4777rsPa9asiWkjs27dOvz2t7/Fww8/HFn3pptuMq+klLmk7tPS4HYyE1vqVl+PlgEDMPbIkWNdrttud7Z06oSsW24Jz+HUpUt4f0eOANdck+wRtJ9IU8IGw0REljLcRuaUU07Rt2GXC9u3b0+oUGZiGxmHqa8HqquBkhJD49C0ZGfjp6edhv3bt2O9nudJDXn37lWfPVtPG5n6eqC4WD6AscEwEVFCLJv9WpqegMgSUu3M1q3HxqHZuBG4+27Fp3w0ezZ+9tBD+LKmBmfozeVNTcC77wKnnqpcC+TxhGtU1NTXh7ejVIvUNqVC6JNPUF5eHpnJPRAIcEZtIiITJDUgnvTUtM27owNrZDJAZaVqrcm0AQPwwrZtEEJgOGCsF5THA7z9NpCT0/5vWreF1GpiorxdUYELysraTX0QDAYZZoiIFFjWawkAli5diqFDh8Lj8cDj8WDo0KH461//mnBhiZJRX1+PhPN4U1M4xIwY0X7Ruh20d6+u9jxLliyJhBcAkTAzb968xMpMREQRhoPMPffcg9mzZ2PKlCl44YUX8MILL2DKlCm45ZZbcM8991hRRiJVBQUFydUKbt4crvWprAzXsphMLmgJIVBTU2P6voiMCoVC8Pv9yM3Nhd/vRygUSneRiIwRBuXl5Ylnn3223ePPPvus6NGjh9HNWa6hoUEAEA0NDekuCiVqwwYhAMVlVUWFACBcLpfIB8QhlXU1F49HiLo6U8olLVMHDBAul0sAiCwul0v4/X5LXzYiLcFgMPJ5jP5vMBhMd9GIdJ+/DdfIHDlyBGeeeWa7x0eOHImjR48mk6nIAhlxtSV1y5bj8WDs1KmRAfa+9Xhw2eDBeLuiAli0yPi+pEbAUg1NsrU0Hg+uvu22yO0k4NjkmoFAIPHtEpmgvLyctz3J8Qw39r3xxhuRnZ2NBx98MObx2267DY2NjVi8eLGpBUxWR27sGz0VgPQDJZzayDSRcVo0GgnrptSFWmv7y5YBP/4xUFAQmWSzpqYGxcXFypNrEqVQbm4ummTaeXk8HjQ2NqahRETHWDbX0o033oinn34a+fn5OPvsswEAH374Ierr6zFz5kxkZ2dH1o0PO+nQkYOM3+9HdXV1TPsMl8sFn8+Hqqqq9BUsVcwKMsCx8WSiA9WuXcrj3XD8GHKADv8bQbZm2Tgyn332GUa0DRC2bds2AEBeXh7y8vLw2WefRdazc5fsjqK2tpaNTM2k1t3a7QZCIaBv3/C/OaIvOUAgEJCtteVtT3ISw0Fm9erVVpSDLFBUVCR7tVVcXJzGUjmYWnfrw4eBffuOBRkgPOfTihVYsmQJ6uvrUVBQgOuuuw5jp06N3G7iIHmUTtIErrztSU6W1IB4TtCRby0ptZEJhUId44dK54B1ukgTWk6frm/9nBy0tLQgS6YBfEt2Nt7885/x01//OvKeFADoAeCBigqMHTv22Mqs2SGiDsqyNjIA8Mknn2DFihWor6/H4bj2AXbrFdORgwwANjLVmrspOzs8cWSKRY9GnA+gBkCu3Ipsa0NEHZRlbWSee+45zJw5ExMmTMCbb76J8ePHo7a2Fnv27OlYJ0iHKCkp6di3K+Lnboq3axcweXLKi9VcVxe55ZcHhRADROZqYpAhIpJneByZ+fPnY+HChfjf//1fuN1uPPTQQ9iyZQumTp2KAv7YOlpGjDmjpKBAfhqC6DYtMu60qDjTTjgBPwdwJYBhFu2DiKgjMBxktm3bhosuuggA4Ha78cMPP8DlcuGWW27B448/bnoBKTWk9jTV1dVoampCdXU1SktLMyvMyFEZbK8RwKcW7fbK77/HMwCeBfCUjvUzOmQSESXBcJA58cQTceDAAQDAySefHOlyvW/fPhw6dMjc0lHKdNgRPgsKwm1QNmzAaLcbI4DIUgxgVwqKoDVQwdtvv90xQyYRkQ6Gg8y5556Lt956CwBw+eWXY/bs2fjVr36FK6+8EhdccIHpBaTU6NBjzrTddjo0aBCqXC5sBLARwE5oh4xUCC5e3DFDJhGRDoaDzCOPPIIrrrgCAHDXXXfh1ltvxZ49e1BaWoqlS5eaXkBKjaKionaDGNptzBmrb68EAoF2cyJ9i3B36XT66quvIr2bhrctZwiBXGnWbgtm7CYicgqOI0MA7D/mTKrmjZLtrj5yZLjn0LPPAn/6k2n70msEgL1gF20i6lhMHUdm//79hkLAgQMH0KVLF93rW4lBRj87jzljizlh1q8HxoxJzb6ijGj7b6XaStJcUEREGcLUcWROPPFE7Nq1C7169dK185NPPhlVVVU49dRT9ZWWbMHOY86kuw2PNJ1Ad7cbo3v1QklpKc7KywPuvjsl+yciInm6gowQAn/9619xwgkn6NrokTSMlEqZLZ3zRsXf1nr3q6/wh4cewqqKCozVfnpqRc/OHY1THRA5FudlU6fr1lJhYaHh2azfeecd5OfnJ1wws/DWUmZIZxsepdta4wcNwus7dpgzl5OCRoS7gedBx62lvDzluaXYjobIkVLVPtCOLJ1ryUkYZDJHutrw5ObmoikuHOQDONntxvpQCPjHP4BHHzVvh8uW4e1du3BbWRm+A1CPcDuZDWrP2dD215Ej1ddhOxoiR7FF+8A0YZBpwyBDyYr/IVGd5NEMK1cCF10UE9zOO+UU/GPrVtnZtA+7XBjqdmN4fj6e//xz5e0yyBA5jtyFFAB4PB40NjamoUSpo/f8bXgcGaKOJn58mZ6wMMQAwOrVQGUlSgoLUfXEE2hctw6vL12KrKws2dVbhUBTczM+VwsxSeD0CETJS/R75IQxvtJOZLiGhgYBQDQ0NKS7KORgwWBQ+P1+4fF4xLSBA4UAUru43ap/H962qG5jw4aEjhuAcLlcMf8NBoMWvMpEmSmZ75HSc0OhUApKnl56z9+8tURkVGWleluUQAD45htz281osGqsmY58f57ILMl+j+w8xpeVTG8j89lnn2Ho0KGmFTBVGGTIdFpBRqsHkQWsGv23I9+fJzILv0eJMb2NjM/nw6hRo/CXv/wlMvs1ESlom1X7o9mzU7bLL10uFAN4u6IiHKailwS7XvP+PFHy+D2ylu4gs3btWgwZMgS//e1v0bdvX8yaNQvvvvuulWUjsqe8vHANhxyPJ/x3AKFPPsGvH3ooJUXKcbvh8/nwUCiEsbfdFr6FFL0kOH6M3ESaQggEAgEzi08dWEdoTM7vkcWMNr45ePCgeOKJJ8S5554rXC6XGDhwoFiwYIHYtWuX0U2lBBv7kiXq6sKNZ+OXurrIKj6fTxQA4pDFDYGPZmfH7Nds0Q2d/X5/h2hkSKmh1gg2GAwKn88nPB6P8Pl8jm9gzu+RcXrP30n1Wtq6dau48847RX5+vsjOzhZTpkwx9Py1a9eKyZMni759+woA4qWXXor5e2trq7j77rtFnz59hMfjERdccIGora01tA8GGZKk+ofR4/EIACK/rUfRJEBcCYiZnTsLsWiREIsWiZmdO4v1CQaYRkD8FBATBg+29DiIrOLz+SLhRVpcLpfwer3sLUepCTJChGtolixZIk466STRqVMnQ8999dVXxV133SVCoZBskFmwYIHo1q2bePnll8Wnn34qLr74YnHKKaeIxsZG3ftgkCEh0tONWOlH2u/3x6zz9yRqY4YDwuPxRI4xk65gKfNJYT9+cblc7b470uP8bHcclgeZtWvXilmzZokTTjhBdO3aVfzyl78U69evT3Rz7YJMa2ur6NOnj6ioqIg8tm/fPpGTkyOWL1+ue7sMMiSEvlBhNj3jPwSDQfFcEkFmBCD8fj/HeyFHUvpeyoWY6L/zs90x6D1/GxrZ9+uvv8b8+fNRVFSE888/H59//jkefvhhfP311/jLX/6Cs88+28jmVO3YsQO7d+/GuHHjIo9169YNo0aNwvr1603bD3UMtbW1MWM4AIAQAjU1NZbts6SkBMFgED6fDx6PBz6fr90klyUlJRh17rkJ72MCgDO+/hpLS0sxCcAZQmB4239HAHj8d7+TfZ7UwNLtdiM3NxdutztjG1qSfSk1gi0oKFCcqFhaf968eUnvvyM0NO4Q9CajiRMnis6dO4s+ffqIOXPmiC1btiQTtNpBXI3MunXrBADx9ddfx6x3+eWXi6lTpypup6mpSTQ0NESWnTt3skaG0lIjo1sgYFlD4CZAiJUrYxoDS7U38QuvdO0p028ZyjWCja9hlFukW6rJ7Dd6H/z824/pt5amTJkiXn75ZXH06NGkCydbEJOCTCAQkP3QM8h0bLYe5nvlSkt7NQlACI8nEmbkQp3ucKejt1YiMv1knaiOfLKVAo5SW5lkL0JsfXFDQogUNvY1S3yQ2bZtmwAgNm7cGLPeueeeK2666SbF7bBGhpTYtvtjXZ0QOTnWh5m2uZaUGlhKS3Z2tnI5PR7NoGRURz5Za+HJ1rqLEKXvQbI1PWQeS9rIpNIpp5yCPn36YNWqVZHH9u/fjw8//BCjR49WfF5OTg66du0asxAB4fYoVVVVaGxsRFVVlX3mKikoAGprj43Ce/311uxn1y6gshIX9++PEQCGty35caspzbL99ooVylMuNDUBe/cmVKzy8vJI2wgApraBcLp0tO2yGz1tzeRotX9J12i7bJdjgRSEKkUHDhwQGzduFBs3bhQAxIMPPig2btwo6tqu7BYsWCC6d+8uXnnlFbFp0yZxySWXsPs1Zb5Fi6ypkVGYQbsJ4TFu8qOuSuNrQ4LBoCWzawvBK2M1rJFJjJ5avnTcbmbtozGOuLW0evVq2R+wWbNmCSGODYjXu3dvkZOTIy644AJRU1NjaB8MMuQ4qWgzI7McUgkzPp9PjLAoyPBkrczWbbtsTO9nKtW3m/lZN0bv+Vv37NdOxdmvyXHq64GiIqC5OeW7HgFgY9v/ezwePPPMMygpKUFubi4GNzWhUu3JGzaE53UyKBQKobS0NHJ7SfqvntsHHUEoFMK8efNQU1OD4uJiBAIBvi4a7DrbtF3LZVd6z9+dU1gmItJDajMT3+Zk165j//+PfwCPPmr6rgcB2AtgJ4CmpiaUlpYiOztbsd2MGaQ2EDxZyyspKUFJSUm6i+EoRUVFqK6ujmlfZIfZpu1aLsezvG4ozXhriTLSsmWW3WJqjLvFJC35UJ4AsxGwdOJKTRZ1C+9o7NQNPpmy2PWWnF3LZVeOaCOTCgwylJEsbkczKSq8DI9apIkvJ0U9NgLHJq7UPPlYETgs6hbe0dipIaoZZbHrcAt2LZcdMci0YZAhq6T16nXDBkuDzB1tYaVR4e/xDYPlRmNtd/KxKnBovRYJNkLuaOzUENVOZaH00Xv+ZhsZogTEN1Ctrq5GaWkpgsFgatoz5OUBHo/yuC5Jmq/x91wAeQi3pZEa5fr9fsXxYEpKSsJtftTGoXn3XWDw4GOP5eWF2wtRSthpzBo7lYXsz7YD4hHZWaoHcZszZw5yc3PhcrmQm5uLOY88AtTUhHsKrVwJuN2W7FcPqVFu0ief6dOBkSMjS3NhIYo8Hg4aliLpGiDOSFl69+7NweSoHQYZogSk8opxzpw5qKioiHTbbGpqQkVFRTjMjBgB9O0LHD5s+n6NMvtEmCMETmhujtR28aRlLaWZqAOBgG3KUldXh+rqajQ1NfFzYTJHjzhszZ0t+2AbGbJCKu/ha458a3F7GaVleFs5JJo9MhIop7QP1de2g7SRSUWbLDs1RI0vi9frZbsZi9ipoXc0NvZtkylBxk7dIsmabpRK77FciJEWIURag0zPnj1jylxWVqZ8IkwiyMQEt3gqjYiPZmeL8YMGOf57Y9cTTSo5fSoLO/+GJ3phZvUxMci0yYQgwx8xezLz6lXtPbZjjYw0P5PU/To/rsyyP3BqvZZ0BhnFz3xdnVhVUSGmDhggzna7xdQBA8SimTNjyuXk7w178Qjh9XplvwderzfdRdNk99/wREJiKo6JQaZNJgQZ/ohlPrX3uKysTPZHZs6cOeEnp6lGJnqRumO7XK7ICUf2B66uztCkmNFBRu2HUulHNX6J/t7Y+Qo5ntNrI8ygFGQKCwvTXTRNdv8NT6R8qTgmBpk2mRBk+COW+bTe47Kyssg6Ho/nWIgRQoi6OtHkcmkHg6wsS8NMdHsWuR84r9crfD6fuKVzZ13bk0YYjh6UbwQgpg0cGB4QcOXKyIB6UwcMiNQMqd2Ki67ZsfMVcjy7nwjNoBUsnfw7aPeyJ3KrPBXHxCDTJhOCTEf4Eevokn2PB+bkiCu1wkHUiV9s2CBWVVSIO0wMMpMUQkz8MWnu8/rrhdiwQQzMyRH5UB6UT26JH6hPqUbGad+pTB/aXk+wdNp7Fs0JZTd6q5w1MimUCUEm03/EKPn32OfziQIoz4WkNHLue3feaVqQ+TPC0xdM7NZNNcxoBpl7740c008TKMdwtA8v8a+p3a+Q5dipR5HZ9JwUnfw76OSyK0nFMTHItMmEICNEZv+IpYrd20Qk8x5L7Wji50ZaNHOm+lxGFrSvaQXEKJkfOGn5jdY2Fi0SwWBQeL1e7VomjSDTs2dP2dfUCVfITmHG90pvsHTy76CTy67E6mNikGmTKUGGkuO0NhFG+Xw+2ROB5ok5gZ5EepbqK68U0wYOFJdkZ4vb8/PFjT16RHo5adXIfDh7duQ9SiTIXIljt5eUalgy8Qo5Hcz6XtkxWNr9wqcjYJBpwyBDQtjzh9JMSd0qqasTYtky08NMost/FRZG3qtEgoxA+BZbgUaQc8oVsp1PqGZ9r+wWLDP9wscpGGTaMMiQEPbvNZCspE8oNujCLQBxtHNnMTAnJ3IMiQYZgXDtj13DiV52P6Ga+b2yU7DM9Asfp9B7/uZcS9Qh2GlCPCtIc9NEEyI98+To9XMAI+KWU48exc6o92lfEtt/oKIiMqGlxGnzyaR6clKjzPxelZSUoKqqCo2Njaiqqmr33qWSFXOpOe2z5yQMMtQh2GlCvFSK/zG2OwGgubk58u/PADQluK2xY8fG/DsUCqG0tNRRkw6mcnLSRFjxvbLDCd/sCx8nfvYcxbpKIXvgrSWS2Knq2mxJV4XX1Ymj2dlpv7UkDYLncrmEx+MRHo9HTBg8WKyqqAiPg2OkjHGTRSq9RtJAfdHzRdmlTYoTbnGkaqqO+PWsfI/MbrPjhPfRjthGpg2DDHUEprRVaJuvaNrAgeJst1s81Lt3WsLMpLayFwDhACMN4me0QXJckFF6jaJPVPH/TqRNipkn2XQ3grUyMMSPVi0FyETHk7EizJgV0DK9jZ5VGGTaMMhQJpFOLNnZ2cLj8Yjs7Gzh8/mE1+s1/4ovTT2ZfoNwrYzi4H56FpkBAOVOknoWI6+jFSfZdNUkxh+LtHi93qRDg9L8YVlZWZonfCfWbjixzHbAINOGQYYyhdKJRa0mIamTXpqCzN+hY/RfmeVKQJztdisOAKh3Yslkrpwz6YSlFfySud2jVEOhNE9X9OvnxNqNdNesmS1VQwIwyLRhkKFMoXZikdp6mHrlrhVkfvvb8EzWOieBtHoZAe0BAONrN+RqspKpkUn3SdbME4zarTjpdZH2YbQmSk8tmNIJ36lhMVPa6KVySAAGmTYMMpQptE4sek6Whk5077+vHh7efz+8Xl2dEBs2iEuys02dhNLoksi4MdKPstZiZM6rdJ1kzT7BGLkVl52dbei41QKf1gk/02o3nCaVn3EGmTYMMpQptGpk9NRGGDnRBYNBcdVpp4mZnTuL2/v3Fx/Onh2upVm27FiIiSvfiDSFmGaXKzwBptKcUgqU2mrEL3p7MqXzJGv2CUZvyEskXCu97nPmzNFdtkyo3bADo7V4qax1ZJBpwyBDmUKrjYzWj7mR+ZgSCT1er1cMT1V4ycqSfzwnx1CY0arlig8Fel+LdJxkrTjBSO9rIiFGK0TF91rSG2LIPInU4rFGJg0YZCiTSCfJ6F5Lek+W2dnZsiec7Ozsdusa+bGK/jFMureRGcvKlbpfz/jZwqVFmnQy0ZN0OlhxgonvJWc09NmhpiSVc1XZeV4sOYl8ZlJZ68gg04ZBhuI57cfGKKXjM3LFrtWGIXr78Q1m8xFueHt7fn56gsyyZfpeqLo6xdDVCERm61YKNnbrJWP2CSaRXl7SIIZ2ud2Tyoapdp8XS06itXipqnVkkGnDIEPRnPhjY4Ta8ZlRI1NYWKj75DYwJyc8nouNgkx0CJs6YIDubR6KCzOJ1nSkYkRas04waiMhx99uslMNTLRU3gZxYm8qu5eZQaYNgwxFs/sXN1lqx5fo7aLo/+rprhyz3bYeTTGL1ePT/Pa3x/YV1V4m/piMNkwekeRJ22khWutq3QkNblPZMDXdXe8TYfceYAwybRhkKJoTf2yM0LolZORHS649jpFB5OIbb0q1EQNzckSTy5Wa2pmoEX7jg5zRhsnTBg5M6qStFiQTramxsoYnE0K/Uk+/6DFwrNyXE14vOwdSBpk2DDIUzak/Nnop/XBLQcboj5ae0YSVlujXNH47BW1B4rOpU60PM21zLsWHPMM9rAw0IpajZ4A5IzU1VtbwyPVWstvVuh5qn1+za8SS7VKerExs+8cg04ZBhqLZvSo1WVrjohj9cdMaFE3tb3rmx5kweLAQbndKgkyyNTK6GxEn+FoaDddWhXK1OZbM/J6k6sQrhXelMGPWRYyR4Q3M5rTblnoxyLRhkKF4dq5KTZbSj2miP9pqc+J4PB7h9XplGxHH70v1lp7UjmblSiHuvdeyICNXK2Soq3iSQcboAHNatzutuk2qFZDMCCDpOPFafVvZ6PaVJoBN5DXI1JpmBpk2DDLUkZgxjUE0rXYdarUyCc2Ps2GD+UFm2bJIw9/4EPvakiXHGgYvWpT8rSW5xs1RjY6DwaCxxtIJvjfRzBy51awAko4Tr9X7TKYxffxi9PU0I6TZ8dYUg0wbBhnqSBKdxkDpR0ztVpxaexyj8+NI+z/byttMUQ1/ZWmFqLaaHUV1dcrdzVUaHcu9T/FBUOk9U3tN1dYxOnKr9L6adXsmHY3urb6tbGT7yU43omd7erej1h4q3WGGQaYNgwxlEq2rJr21JNHbkX7ElE52SrfijAyap9bQOLrMlk9xsGxZbJiJrkHR6hauFWR0BiGlE15hYaHs7U6191zrNqkZI7fGn9zMCCDpuhVi9W1lvds3u+Y00ZCmdrvTDremHBFk1q5dKyZPniz69u0rAIiXXnop8rfDhw+LOXPmiKFDh4rjjjtO9O3bV8yYMUN89dVXhvbBIEPJsFN1q96ra61pDPT0RErm1obSoHlKr130dlIyV5PbHb5N9P77+gfs06rNEcJQjY7eE16yt3LMGLlVqSYmeunZs6eu8mgdV7raq6X6e252jYwQiYU0rdrBdA9L4Ygg8+qrr4q77rpLhEKhdkFm3759Yty4ceL5558XW7ZsEevXrxdnnXWWGDlypKF9MMhQouzWE8CsXhF6e8/oOdnJvT5yg+ap/ThHn2xTOldT587atTfRbVw02r8kcmtK6wSabM2F0efLlUfPHEtyo0NrSUXtSDIzllv5PTfSvsxKau8ta2QSEB9k5Hz00UcCgKgzMLstgwwlym49AZSmGDD6o6vnxGTk/nr8yUhp+1KvjPgTS/z9+fiJHN+7885wqFi5MjUjA8cHj7q68L6V2u9E97wyEGT0nECTbUuiFjb1tofSO5qznRgJJ1Y1mtZTRrWa01TQuqhJd4/OjAwyb731lnC5XKoH1dTUJBoaGiLLzp07GWRIt+gfK6UveLqqW7UCiN4fVrMamya6/fgTS3yQ0QxUVvRsUgoeag1449c1GGTGDxokRiA2tI0AwmPraLyWUjskPaLDplp7KLW5ldRqD6S/qZVHTwgwMygYuQjRExbtVjtrFqWaocLCwrSHGCEyMMg0NjaKESNGiJ///Oeq2wkEArIfSgYZ0mJW2xGrqNXIGCmX0o+ytH2Px5PUaKR6RwOWymy04eOqioqUBJlbOncW13u95oSe+DY2dXWiUWFbjUBk3VcfeywScKIDjzSBpZndnrUab/v9ftGpUyfV90opoGiFgESDglL4MVKTpSf02K12Vi+9AdLKW3zJyKggc/jwYTFlyhQxfPhwzQNijQwlyuqaCqvLZ3TMCD1X6YlSG001vsxGGj4Gg8GUtqNp0rtu9G0otXY0Eo3am7PdbjF+0CBxNDtb9u+HEB7Qz8xuz3pP6Grvp9frjbxP0glUbp9mBAW18KNUyyeVT892or/nVnQXt7qBcSbUImVMkDl8+LC49NJLhc/nE3v37jW8XbaRIb20RrFN99WKVV0lrbza1NOYUOm45E4oUlmj29H8PEWhRnWJ79atRSPISLUwWutYOcCh3OuvVisoPUdvjVx02RMJCmrHohRkCgsLZbdlRTd2NakIGU6tRYqWEUFGCjFDhgwR33zzTULbZZAhvdTaI6Sy+7XWuCFak/kZvdKz8mpT62QWXeboho9ZWVmyw7bLlTUfULxN06zyN9MXPV20JTqCjFZX9J8jPCO3bI2PyvuiFlbUxvrRqo2Rtqe3jVSyNTJqn1uzP9NmdxdPRchIx6CDZnNEkDlw4IDYuHGj2LhxowAgHnzwQbFx40ZRV1cnDh8+LC6++GLRv39/UVVVJXbt2hVZmpubde+DQYb00hoILJXdMuMXpbFiok84iY7QafXVptKVsdKgb4k0SJ0weHDkNs7UAQMibUry25anUhVmNAbNk45BawRjPUEmZjEQooy2idBbwyK9r1ptnuRCQCJBQe1za0VQMPK6aV1MpCJksEYmRVavXi37Zs6aNUvs2LFD8YuwevVq3ftgkCEjtAYCs/qHwMi9/fhy6736jX+eVg2PUUpX5FI5lKYv0Dr5qd2G0jop/iYVIQbqQSa6XJM0tjMJCQwOqDXycIL01MREvw9KJ1DpO6UUApINWNGf23QOuKfntlEqQobdBh1MhCOCTCowyFCi0lE1q9boVU0iDYGVrrS9Xm9SP3ZGXze17tfxz9dbY1VWVhYph8fjEY9cdVXag0z0e5TOIBNfW1BWVqZae5CVlaX53kTXsKXyBKoWftLVG0dPSEnVa2TnHkl6MMi0YZChRKWjalYtjKjdHkpkhE6rjs/odvXcsjByy0DpJPH2/PnhRrn33qs/HBidxPLee48N3BfXdmVgTk7kltGVGtuRbosZ6p2l47aWUu1b/L+jw43a+2JW7Uom0RvkO/JrpBeDTBsGGUqUntsYZtOqnVAKM1o1MnLjwlhV42T0alNPw1Dp+XrKrBl29A5yt2yZsfmY5Bap7UpdnWhyuXQ/b3hbuaN7Z2mFHz23tYwsegKmkc9EquYySuW+5GRC2xS7YJBpwyBDidJ7GyMV+9T6MdQ6URmpkTGjl5aRq02l8Cb1YIp+vp6ThK6ApnfaAREelG4Skuj9pGfUX4UgE71o3mpSCDLBoL75khJZ5HqWye1fLtha8T1Kx3dWqQxObptiFwwybRhkKFGJNrxNVjAYVLwaVqstKSsrUw1BeufWib8i12pDIW0r0atgIzVfek4Shq6IdQxgFz12jWatiElBZoTM61EAlTCl0GspkZqYZBa59z2VNRTp+s7Gs/K2UbprnFKJQaYNgwwlKtGGt2ZIZNZiPSea+Kvh+F5aRp+vtm+jYSb6h3/OnDmqY+monSSMXhEb6SpruAFuIkHG4xGvPvaY7GsaP6Gm1M381ccekz02rVuO8duTlgKV915tkQsMqWw0n87vrFGJBJJMGK3XCAaZNgwylKh0/igaPRnrGYRMKxDpvf0Q/3yzr4LN+LHWe0Wsti+5cWsSCjLLlgmxaJH6OosWxdQGGalJUQu4au+pWmNiaQqE+M+enjFi4qWyRsYpQSbRz3hHa3/DINOGQSbzpKpq1egw52YzUj1ttA2E3snz9Dzf7JNHKn+slfalNBR/QkFGb9jRKJfWIvddUNpOdna25rFMGziwXQ2ZnobZ8VLZZsSK76wVvzeJfsYzYbReIxhk2jDIZBY7NBy0Y6M9M2pk9I7gGv/8RLuMK9Ga88rM8Go0AFoVZN67886Yk6XWnEZKr0/8a670fenZs6fuxsNGR/aVk6quxmZ/Z636vUk0kLBGRh6DDDlKqr/IThnrwWgbGbVbLX6/X3M70c9PtMu4Er2zkCd7MkmkN08+oNwdOzs7fItIGkfGwHg1w2VOloku0sCB8e9p9GfY5XLpDjJGQrIdvh9ag+QZqV2xy1hL0eWXC1Z2eN2twCDThkEms3S0qlUlcj/IwWBQ9OzZU/b16dmzZ7t5mdR+0NW6RMc3xNXqLWX0R19PDYDcdo2cpJLpzTN+0CBxttstpg4YIFZVVMj2dBJCaLeLiVrieynFn6ik/xYWFka6pWuVU+34jQQZpX1lZ2enPOSb0TvOSO2KXcZain+uEy6uzMAg04ZBJrN0tKpVOVo/yPHD80cPhldWVtbutoX0fK/XqxlOpKAUv+9LLrlE8YSayI9+9I+1nq7oRk9SeqdFUApRSq9bzP4M1sgYDQpaNSVSY2u5k7/X602qRsaK75xWSFEKuF6vV1egSeQ4rDz2jhRIEsUg04ZBJrN0tKpVOUo/rl6vN9K+Qm6gMrWaE7kTdVlZWVInfKUffaM1J3JXxfHbtWJahEQDTuR4dAaZQwjfsjJ6stSqVXK5XIrfl7KyMtVeS41ApIYpFd85pX1Eh0Sv15tUe6xEalf4e5NeDDJtGGQyT6ZdyRg9setpPyJ3dW6kAal0Ik2k90z8El0jpHZijb9dpRWiot93oycpK4JMfADZeM01qgFmAY7NqaR1fEqfBa2yqAW8YDAYM/9T9Ng0EwYPbrcvK79zettF6XndjexDz/PUajjJWgwybRhkyM6M3BJJ9SitegfJ01ria06S3V52drau2yxqtUGJvBZaNQLR6waDQV0zXCttQ8/JUivoFRYWagY8O9Q4aIVzvYtUA6W2H6PH2tEGoLMbBpk2mRJkOtKw1B2JkavEZG/zGD0pmFUjE10rkki3YrmyxdPT7dZIN2KlcGLkdRsB4+1iohet77jWcYRCId2zhaerhtOKcK42pYbRY2WbvPRikGmTCUGGVwWZy8gtEbUTlxkBIX7p2bNnu15Q0b1n9ASC+B99M2p4jASZ6O9IMqFMOgY9XbalEXC1Rs5VuqWk92SpdizSCdoONS7R4i/I9NZySWX3er2GAn2yv5XsJZleDDJtMiHI8Kogcxl5b5V+8F0u5ZFo45fc3NykQoTX642cBPUMVx9/0jQjcMkNuqZnmoRkQpRaO5/ocsXP0q00l5FaiNF7stQ7iq1d2pQphSojizR0gJHnJPNbyd/e9GKQaZMJQYZXBZnLyBWz2onLSG2D0lgzRk8ISvuU2tYk0mVYz3LJJZe0u3WgFvKS3bdSWxu1cJDsLZNkei3ZtfF7Mu+9x+NpFxKNPj8RdqvR6mgYZNpkQpDhVUFmiz8pKs38rHbiSqb9R6InBDMbTyZyotfz/Oggo7Zvre0YPREqvVdGjteswdHS0b5Obp9GasTUPlNGa9aS/a1kr6X0YZBpkwlBhlcFmS36R1+qdVFqD6U1/LrWIHJmBBmjjSfjTwSXXHKJ8Pv9ukeo1XOiUrplJd1mkV7j6DF2pPYW0Y/JvXaJnAjVag30hCatMGh0BGO97evMCD1qY8LoOfY5c+YkNRBgoqHQjNePzMUg0yYTgowQ9rnPTcoSOQkkOhy/1ja7du1qOBAYueUUP5qt0rErDcKnNhKwmYtcbZVcTUz0eDZyj0c3ntV6j9VudUWP1qsUWs3sDmykNldPg2k91AZs1Pqs66n5MlKzFt1uKRGsDU8vBpk2mRJkyN4SvXLTe3Wp99ZGIm0zpAa8iTxXLRQYvZ2QyD7ljkUKCdL/6y2DdIJSumjQ8x6rvYaJtLWR1pHCk9Yox/FBS6mmSu7zpKfBtB5qbfqk45V7D40EBLnXzYqLPbZPTC8GmTYMMqnTkce6SfTKTc9J1sgPfCLV7tKJyoyGuPFlNjvEZGVl6QoiWoFHaVE7Qel5j7VeQ6MnV73HEj3OjVb7oUR6xRmhd+waubLaraaZNTLpxSDThkEmNVJ5L9mOgSnRKze9Q7Pr/YFPpAZEOlGZXXti1sjASq+J0j6T7R2j9LnS8x6rHW8ijUT1HIt0YlU66eoNDGYFGb0hxQm3y50SuDIVg0wbBpnUSOUMuakKTEYkevxKxyMNL2+0J0oiJ3HpRGX2yMHZ2dmqNShWBBzpxKi1ntz/a32uzKiRMfo51Rp3J/rEqnTcWrNoS/SOS6OHE0KKXpl0LE7DINOGQSaWVbUZqbqXbNeq3mSu3NTaZKh1w5Y76aoN1qbUmDe6106qQocVIUZ6vZU+I/Hj20T3ptLTZsPINAhKZTT6OVX6XknHE/15Sfa74bRxaSjzMci0YZA5xsrajFQFDDs3vjPzyk3tvdJ6rbUaqyqFAD1hwcqu3cks0V2W9YRKvW1PsrOz2z0nfon//qj1WjL6OVUKl9Hl0vrMGPkcsvaB7IRBpg2DzDFWho1U3Uu2a42M2dSOM5kwF32iMhJKpPXmzJljKPzoXbKysmJqRzp16mRoH/HHrlXLZeS4paBipFePWZ9TpZm6lbbDIEKZhEGmDYPMMVbXZqTiR7QjNL7TuqI3epJUukWlty2J1MZCeo2jb8mYuehtXKt0Yte6bZpMbya190SuMaxZn9OO8HknUsIg04ZB5phMqc3I5KtOPW0sjJzclE7eSqPYSuvGhxet7VkRZozUnHTq1En2NUl0e3Kvu9FePWZ9TjP5806khkGmDYPMMby6sz+945DoPbkl0xXZ6/W2q9XQ011cqVHxpZdeqtqgOL6dT/ytnER6Y0WHdLUaHq1tR4/EG78k0quHiLQxyLRhkInFqzt7UzvRS6OXGul1ZsYtoOh96NlefI8gaf4ctdsz8QFKLlwk0j08+rapUgiTAs+cOXNUR85lrx6i1GKQadPRg4wdB48jZVrDu0ef4PX0Okt2tF6j46QolSeR6Q/kymHkWJS6TxvpzRS/Di8EiFKHQaZNRw4ydh08zi7sGPLUamTkZg+Wa+MUfVx6JuozUquh1UZGqc2VGdMfqN3ekSuHXG2J3rmNGFaI0o9Bpk1HDjJmDJBltxO9Wewa8pS62yYaNKT/er3eSEhKplZD2odfZR4luTFOkr3FpXV7R1qkbtwMIETOxyDTpiMHmWTHG7Hjid4sVvTgMiP4lZWVGT7J67n1I40bEz0rtFKjXK1aDYmRz1cyNTJyt3eUamYYXogyB4NMm44cZJI5WWdKV20lZo+poxX89IacRE74PXv2NDw2jFQepddAT61GIqPOKpVH7rXTM98UbwERZS4GmTYdOcgk093azlMBmMHsoKa2PSO1W8ncgtE7aq0ZIwRLxyz3fK1RZ6PndpICCEMJEcVzRJBZu3atmDx5sujbt68AIF566SXFda+77joBQCxcuNDQPjIlyOi5opdbJ9EThJ75fJzcfsbsMXXUQoGR0JTsoG16B6xLZIRgq19Dp3P6d4LIbhwRZF599VVx1113iVAopBpkQqGQ8Pv9ol+/fh0yyOi5oje7TYvaSSpT2s+YWQtg1txIarNXy/Vaktue1nxKiYwQnIrX0Mky5TtBZCeOCDLRlILMl19+KU4++WTx2WefCa/X2yGDjJ4rZ6sar8qdpDK9/Uw0vVfZaqEgkbmR5F53PdMXGCmX2r7ImI70nSBKlYwIMi0tLeInP/mJWLRokRBC6AoyTU1NoqGhIbLs3LnT8UFGzxV9Ktu0ZHr7GYnRq2ytAGLGLRi1ofuVtsewYr2O8p0gSqWMCDLz588XF154oWhtbRVC6AsygUBA9gfFyUEmVTUyyfSsycSrTzOP0+wwwXBiLx3lO0GUSo4PMp988ono3bu3+OqrryKPdcQaGb1X4Mle9RupfVAa62TOnDmmHbcd8Cqb9GLDZyLzOT7ILFy4ULhcLpGVlRVZAIhOnToJr9ere7tObiOj1PAzOztbNjQkc5VutGeN3Ak+064+eZVNRrCWjMhces/fnWBTM2bMwKZNm1BVVRVZ+vXrh7KyMrzxxhvpLl5KlJeXw+VyQQgR8/iRI0fwxz/+EaFQqN1zpHVFOKTq3ldtbW279YUQ2LRpE3Jzc+H3+yP7q62tld1GTU2N7v05QSAQgBACLpcLACLvRSAQSHPJyI5KSkpQVVWFxsZGVFVV4bLLLkt3kYg6hLQGmYMHD0ZCCgDs2LEDVVVVqK+vR48ePTB06NCYJTs7G3369EFxcXE6i50ycuFC4nK5MG/evMi/Q6EQSktLUV1djaamJlRXV6O0tFQ27MgpKiqKnLCjCSHabU9uXZfLlXHvS0lJCYLBIHw+HzweD3w+H0KhEE9QRER2Ymm9kIbVq1fL3qKYNWuW7Podrfu11uBo0W01zB7cTG4xc/wRIiIiNXrP3y4hDNx/cKD9+/ejW7duaGhoQNeuXdNdHEOkWhYlXq8XX3zxBQAgNzcXTU1N7dbxeDxobGzUvb958+ahpqYGzc3NsrVB0vai1y0uLkYgEGBNBRERmUbv+ZtBxuZCoRCuuOIKHDlypN3fCgsLsWPHDgCA3+9HdXV1TPhwuVzw+XyRW3dGmL09IiIiI/Sev23b2JfCSkpKkJWVJfu33bt3R/7f7IapbOhKREROwCDjAL1795Z9vE+fPpH/N7thKhu6EhGRE/DWkgP06tUL3377bbvHe/bsiW+++SYNJSIiIrIWby1lkL179xp6nIiIqKNgkCEiIiLHYpBxgIKCAtnHvV5viktCRERkLwwyDvDggw8aepyIiKijYJBxsAxvp01ERKSJQcYBpMkjo8XPtURERNQRMcg4gNLM1Jk22zQREZFRDDIO0FFmmyYiIjKKQcYBJkyYIFsjM2HChDSViIiIyB4YZBzgjTfeMPQ4ERFRR8Eg4wC1tbWyj7ONDBERdXQMMg7ANjJERETyGGQcIBAIQAgRCTMulwtCCAQCgTSXjIiIKL06p7sAVpMaye7fvz/NJUncuHHjcNNNN2HJkiVobm6G2+3Gr3/9a1xwwQWOPi4iIiIl0vlNa/BXl8jw4WG//PJL5Ofnp7sYRERElICdO3eif//+in/P+CDT2tqKr7/+Gl26dGnXzsRp9u/fj/z8fOzcuRNdu3ZNd3FMx+NzNh6fc2XysQE8PqcSQuDAgQPo168fOnVSbgmT8beWOnXqpJrknKhr164Z9WGNx+NzNh6fc2XysQE8Pifq1q2b5jps7EtERESOxSBDREREjsUg4yA5OTkIBALIyclJd1EsweNzNh6fc2XysQE8vkyX8Y19iYiIKHOxRoaIiIgci0GGiIiIHItBhoiIiByLQYaIiIgci0EmzRYvXozCwkJ4PB6MGjUKH330ker6L7zwAgYNGgSPx4Nhw4bh1Vdfjfm7EAL33HMP+vbti9zcXIwbNw5bt2618hBUGTm+v/zlL/jxj3+ME088ESeeeCLGjRvXbv2rr74aLpcrZpk4caLVh6HIyPE99dRT7cru8Xhi1rHT+2fk2M4///x2x+ZyuXDRRRdF1rHTe/fOO+9gypQp6NevH1wuF15++WXN56xZswYjRoxATk4OBgwYgKeeeqrdOka/z1YxenyhUAgXXnghevbsia5du2L06NF44403Ytb5/e9/3+79GzRokIVHIc/osa1Zs0b2s7l79+6Y9Zz63sl9r1wuF4YMGRJZxy7vnVUYZNLo+eefx6233opAIIDKykr4/X5MmDAB33zzjez677//Pq688kpce+212LhxIy699FJceuml+OyzzyLr/PGPf8TDDz+Mxx57DB9++CGOP/54TJgwAU1NTak6rAijx7dmzRpceeWVWL16NdavX4/8/HyMHz8eX331Vcx6EydOxK5duyLL8uXLU3E47Rg9PiA88mZ02evq6mL+bpf3z+ixhUKhmOP67LPPkJWVhcsvvzxmPbu8dz/88AP8fj8WL16sa/0dO3bgoosuwk9+8hNUVVXh5ptvxi9/+cuYk30inwerGD2+d955BxdeeCFeffVVbNiwAT/5yU8wZcoUbNy4MWa9IUOGxLx/7733nhXFV2X02CQ1NTUxZe/Vq1fkb05+7x566KGY49q5cydOOumkdt89O7x3lhGUNmeddZa44YYbIv9uaWkR/fr1E/fff7/s+lOnThUXXXRRzGOjRo0S1113nRBCiNbWVtGnTx9RUVER+fu+fftETk6OWL58uQVHoM7o8cU7evSo6NKli/if//mfyGOzZs0Sl1xyidlFTYjR43vyySdFt27dFLdnp/cv2fdu4cKFokuXLuLgwYORx+z03kUDIF566SXVdebMmSOGDBkS89i0adPEhAkTIv9O9jWzip7jk3P66aeL8vLyyL8DgYDw+/3mFcwEeo5t9erVAoD4/vvvFdfJpPfupZdeEi6XS3zxxReRx+z43pmJNTJpcvjwYWzYsAHjxo2LPNapUyeMGzcO69evl33O+vXrY9YHgAkTJkTW37FjB3bv3h2zTrdu3TBq1CjFbVolkeOLd+jQIRw5cgQnnXRSzONr1qxBr169UFxcjOuvvx7fffedqWXXI9HjO3jwILxeL/Lz83HJJZfgn//8Z+Rvdnn/zHjvli5diiuuuALHH398zON2eO8SofXdM+M1s5PW1lYcOHCg3Xdv69at6NevH0499VRcddVVqK+vT1MJjTvjjDPQt29fXHjhhVi3bl3k8Ux775YuXYpx48bB6/XGPO7k904Lg0ya7N27Fy0tLejdu3fM4717925371aye/du1fWl/xrZplUSOb54t99+O/r16xfzAzNx4kQ8/fTTWLVqFf7whz9g7dq1mDRpElpaWkwtv5ZEjq+4uBhPPPEEXnnlFSxbtgytra0YM2YMvvzySwD2ef+Sfe8++ugjfPbZZ/jlL38Z87hd3rtEKH339u/fj8bGRlM+73bywAMP4ODBg5g6dWrksVGjRuGpp57C66+/jkcffRQ7duzAj3/8Yxw4cCCNJdXWt29fPPbYYwgGgwgGg8jPz8f555+PyspKAOb8VtnF119/jddee63dd8+p751eGT/7NTnTggUL8Nxzz2HNmjUxDWKvuOKKyP8PGzYMPp8Pp512GtasWYMLLrggHUXVbfTo0Rg9enTk32PGjMHgwYOxZMkS3HvvvWksmbmWLl2KYcOG4ayzzop53MnvXUfy7LPPory8HK+88kpMO5JJkyZF/t/n82HUqFHwer1YsWIFrr322nQUVZfi4mIUFxdH/j1mzBhs27YNCxcuxN/+9rc0lsx8//M//4Pu3bvj0ksvjXncqe+dXqyRSZO8vDxkZWVhz549MY/v2bMHffr0kX1Onz59VNeX/mtkm1ZJ5PgkDzzwABYsWIA333wTPp9Pdd1TTz0VeXl5+Pzzz5MusxHJHJ8kOzsbw4cPj5TdLu9fMsf2ww8/4LnnntP145iu9y4RSt+9rl27Ijc315TPgx0899xz+OUvf4kVK1a0u5UWr3v37igqKnLE+xfvrLPOipQ7U947IQSeeOIJzJgxA263W3VdJ793chhk0sTtdmPkyJFYtWpV5LHW1lasWrUq5qo92ujRo2PWB4C33norsv4pp5yCPn36xKyzf/9+fPjhh4rbtEoixweEe+3ce++9eP3113HmmWdq7ufLL7/Ed999h759+5pSbr0SPb5oLS0tqK6ujpTdLu9fMsf2wgsvoLm5GdOnT9fcT7reu0RofffM+Dyk2/Lly3HNNddg+fLlMd3mlRw8eBDbtm1zxPsXr6qqKlLuTHjvAGDt2rX4/PPPdV1EOPm9k5Xu1sYd2XPPPSdycnLEU089Jf71r3+J//zP/xTdu3cXu3fvFkIIMWPGDDF37tzI+uvWrROdO3cWDzzwgNi8ebMIBAIiOztbVFdXR9ZZsGCB6N69u3jllVfEpk2bxCWXXCJOOeUU0djYaPvjW7BggXC73eLFF18Uu3btiiwHDhwQQghx4MABcdttt4n169eLHTt2iP/7v/8TI0aMEAMHDhRNTU22P77y8nLxxhtviG3btokNGzaIK664Qng8HvHPf/4zso5d3j+jxyb5j//4DzFt2rR2j9vtvTtw4IDYuHGj2LhxowAgHnzwQbFx40ZRV1cnhBBi7ty5YsaMGZH1t2/fLo477jhRVlYmNm/eLBYvXiyysrLE66+/HllH6zWz8/E988wzonPnzmLx4sUx3719+/ZF1vntb38r1qxZI3bs2CHWrVsnxo0bJ/Ly8sQ333xj62NbuHChePnll8XWrVtFdXW1mD17tujUqZP4v//7v8g6Tn7vJNOnTxejRo2S3aZd3jurMMik2Z///GdRUFAg3G63OOuss8QHH3wQ+dt5550nZs2aFbP+ihUrRFFRkXC73WLIkCHiH//4R8zfW1tbxd133y169+4tcnJyxAUXXCBqampScSiyjByf1+sVANotgUBACCHEoUOHxPjx40XPnj1Fdna28Hq94le/+lVafmwkRo7v5ptvjqzbu3dv8dOf/lRUVlbGbM9O75/Rz+aWLVsEAPHmm2+225bd3jupS278Ih3TrFmzxHnnndfuOWeccYZwu93i1FNPFU8++WS77aq9Zqlk9PjOO+881fWFCHc379u3r3C73eLkk08W06ZNE59//nlqD0wYP7Y//OEP4rTTThMej0ecdNJJ4vzzzxdvv/12u+069b0TIjxMQ25urnj88cdlt2mX984qLiGEsLjSh4iIiMgSbCNDREREjsUgQ0RERI7FIENERESOxSBDREREjsUgQ0RERI7FIENERESOxSBDREREjsUgQ0RERI7FIENEtnT11VfD5XJFlh49emDixInYtGlTu3UPHz6MvLw8LFiwQHZb9957L3r37o0jR45YXWwiSjEGGSKyrYkTJ2LXrl3YtWsXVq1ahc6dO2Py5Mnt1nO73Zg+fTqefPLJdn8TQuCpp57CzJkzkZ2dnYpiE1EKMcgQkW3l5OSgT58+6NOnD8444wzMnTsXO3fuxLfffttu3WuvvRa1tbV47733Yh5fu3Yttm/frmtWYCJyHgYZInKEgwcPYtmyZRgwYAB69OjR7u/Dhg3Dj370IzzxxBMxjz/55JMYM2YMBg0alKqiElEKMcgQkW2tXLkSJ5xwAk444QR06dIFf//73/H888+jUyf5n65rr70WL7zwAg4ePAgAOHDgAF588UX84he/SGWxiSiFGGSIyLZ+8pOfoKqqClVVVfjoo48wYcIETJo0CXV1dZg0aVIk5AwZMgQAcOWVV6KlpQUrVqwAgEjomTZtWjoPg4gs5BJCiHQXgogo3tVXX419+/bh5ZdfjjzW0tKCbt264eabb8b111+PxsZGAEB2dja8Xi8AYObMmdixYwfeffddnHPOORg0aBCWLl2ajkMgohTonO4CEBHp5XK50KlTJzQ2NuLkk0+WXefaa6/F+eefj5UrV+L9999HRUVFiktJRKnEIENEttXc3Izdu3cDAL7//ns88sgjOHjwIKZMmaL4nHPPPRcDBgzAzJkzMWjQIIwZMyZVxSWiNGAbGSKyrddffx19+/ZF3759MWrUKHz88cd44YUXcP755ys+x+Vy4Re/+AW+//57NvIl6gDYRoaIiIgcizUyRERE5FgMMkRERORYDDJERETkWAwyRERE5FgMMkRERORYDDJERETkWAwyRERE5FgMMkRERORYDDJERETkWAwyRERE5FgMMkRERORYDDJERETkWP8ffK6ZtH4IjXoAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -4147,7 +4291,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a4b72e78",
+   "id": "2a98b0cc",
    "metadata": {},
    "source": [
     "## BONUS: Step 4: The CMD as a distance indicator\n",
@@ -4158,13 +4302,13 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "id": "4dd48003",
+   "id": "8af7ef0d",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f25d8d4ecb0>]"
+       "[<matplotlib.lines.Line2D at 0x7fd982d73cd0>]"
       ]
      },
      "execution_count": 23,
@@ -4173,7 +4317,7 @@
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -4200,7 +4344,7 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "id": "c6ff479f",
+   "id": "55cc8839",
    "metadata": {},
    "outputs": [
     {
@@ -4223,7 +4367,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4656e4db",
+   "id": "2a8a0885",
    "metadata": {},
    "source": [
     "True distance to Pleaides is 136.2 pc ( <https://en.wikipedia.org/wiki/Pleiades> ). Not bad!"
@@ -4256,7 +4400,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.10.14"
   },
   "nav_menu": {},
   "source_map": [
diff --git a/_sources/content/use_case_notebooks/proposal_prep_exercise.ipynb b/_sources/content/use_case_notebooks/proposal_prep_exercise.ipynb
index 24caa01..d6ddf29 100644
--- a/_sources/content/use_case_notebooks/proposal_prep_exercise.ipynb
+++ b/_sources/content/use_case_notebooks/proposal_prep_exercise.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "0105a581",
+   "id": "3220ee30",
    "metadata": {},
    "source": [
     "# Proposal Preparation Exercise\n",
@@ -15,7 +15,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "fdde4c65",
+   "id": "01b95510",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -40,7 +40,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4c0e3cd7",
+   "id": "64d1a109",
    "metadata": {},
    "source": [
     "## Step 1: Find out what the previously quoted Chandra 2-10 keV flux of the central source is for NGC 1365\n",
@@ -51,7 +51,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "06b17d88",
+   "id": "33f2e6df",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -69,7 +69,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8968bfe1",
+   "id": "b7048477",
    "metadata": {},
    "source": [
     "Hint: The Chansngcat ( <https://heasarc.gsfc.nasa.gov/W3Browse/chandra/chansngcat.html> ) table is likely the best table.  Create a table with ra, dec, exposure time, and flux (and flux errors) from the public.chansngcat catalog for Chandra observations matched within 0.1 degree."
@@ -78,7 +78,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "d3d31652",
+   "id": "4dc188e6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -88,7 +88,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "24f11882",
+   "id": "647729b6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -106,7 +106,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0ed4677a",
+   "id": "2facdcc4",
    "metadata": {},
    "source": [
     "## Step 2: Make Images\n",
@@ -119,7 +119,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "bf4d180a",
+   "id": "e6c871ed",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -128,7 +128,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "04c4a231",
+   "id": "c08679d2",
    "metadata": {},
    "source": [
     "The keyword search for 'galex' returned a bunch of things that may have mentioned it, but let's just use the ones that have GALEX as their short name:"
@@ -137,7 +137,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "09c94282",
+   "id": "f7b8ba03",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -146,7 +146,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "43e7681a",
+   "id": "9bfadc1c",
    "metadata": {},
    "source": [
     "Though using the result as an Astropy Table makes it easier to look at the contents, to call the service itself, we cannot use the row of that table.  You have to use the entry in the service result list itself.  So use the table to browse, but select the list of services itself using the properties that have been defined as attributes such as short_name and ivoid:"
@@ -155,7 +155,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "caf7ff82",
+   "id": "e1683612",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -164,7 +164,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d8871e1e",
+   "id": "10798e42",
    "metadata": {},
    "source": [
     "Hint: Next create a UV image for the source"
@@ -173,7 +173,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "d17cf071",
+   "id": "6e993ec8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -186,7 +186,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "3fca5f77",
+   "id": "bf3927db",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -198,7 +198,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "741bd51b",
+   "id": "d72dba34",
    "metadata": {},
    "source": [
     "Hint: Repeat steps for X-ray image. (Note: Ideally, we would find an image in the Chandra 'cxc' catalog)"
@@ -207,14 +207,14 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "fc414e45",
+   "id": "458fe06f",
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "markdown",
-   "id": "f6591d89",
+   "id": "f0ab6382",
    "metadata": {},
    "source": [
     "## Step 3: Make a spectrum\n",
@@ -227,7 +227,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "77e8c9f4",
+   "id": "23659a9e",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -236,7 +236,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8f31befe",
+   "id": "85083426",
    "metadata": {},
    "source": [
     "Hint 2: Take a look at what data exist for our candidate, NGC 1365."
@@ -245,14 +245,14 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "a3d619b7",
+   "id": "141f0bc1",
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "markdown",
-   "id": "fa4a52c7",
+   "id": "5baa2d08",
    "metadata": {},
    "source": [
     "Hint 3: Download the data to make a spectrum. Note: you might end here and use Xspec to plot and model the spectrum. Or ... you can also try to take a quick look at the spectrum."
@@ -261,7 +261,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "9fb03b37",
+   "id": "797e99d3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -271,7 +271,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "2a59eab7",
+   "id": "3720f4b6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -280,7 +280,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4233f86b",
+   "id": "2f01efef",
    "metadata": {},
    "source": [
     "Extension: Making a \"quick look\" spectrum. For our purposes, the 1st order of the HEG grating data would be sufficient."
@@ -289,7 +289,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "dbe9fb16",
+   "id": "7a35faac",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -298,7 +298,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e7385421",
+   "id": "dd118f43",
    "metadata": {},
    "source": [
     "This can then be analyzed in your favorite spectral analysis tool, e.g., [pyXspec](https://heasarc.gsfc.nasa.gov/xanadu/xspec/python/html/index.html).  (For the winter 2018 AAS workshop, we demonstrated this in a [notebook](https://github.com/NASA-NAVO/aas_workshop_2018/blob/master/heasarc/heasarc_Spectral_Access.md) that you can consult for how to use pyXspec, but the pyXspec documentation will have more information.)"
@@ -306,7 +306,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9446d5dd",
+   "id": "7cca3a26",
    "metadata": {},
    "source": [
     "Congratulations! You have completed this notebook exercise."
@@ -339,7 +339,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.10.14"
   },
   "nav_menu": {},
   "source_map": [
diff --git a/_sources/content/use_case_notebooks/proposal_prep_solution.ipynb b/_sources/content/use_case_notebooks/proposal_prep_solution.ipynb
index 97aeb63..97c54fd 100644
--- a/_sources/content/use_case_notebooks/proposal_prep_solution.ipynb
+++ b/_sources/content/use_case_notebooks/proposal_prep_solution.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "7259926c",
+   "id": "21710644",
    "metadata": {},
    "source": [
     "# Proposal Preparation Solution\n",
@@ -15,7 +15,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "ddcf85a5",
+   "id": "48cc3fc6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -40,7 +40,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "52d20c82",
+   "id": "cfb3eb39",
    "metadata": {},
    "source": [
     "## Step 1: Find out what the previously quoted Chandra 2-10 keV flux of the central source is for NGC 1365\n",
@@ -51,7 +51,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "f80b369a",
+   "id": "f0a7b574",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ed1c3573",
+   "id": "7511426b",
    "metadata": {},
    "source": [
     "Hint: The [Chansngcat](https://heasarc.gsfc.nasa.gov/W3Browse/chandra/chansngcat.html) table is likely the best table.  Create a table with ra, dec, exposure time, and flux (and flux errors) from the public.chansngcat catalog for Chandra observations matched within 0.1 degree."
@@ -72,14 +72,14 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "6e122adb",
+   "id": "568d22e6",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Table chansngcat has columns=['__row', '__x_ra_dec', '__y_ra_dec', '__z_ra_dec', 'agn_flag', 'bii', 'class', 'dec', 'distance', 'exposure', 'fit_chi_squared', 'fit_dof', 'flux', 'flux_lower', 'flux_upper', 'hardness_ratio_0', 'hardness_ratio_0_error', 'hardness_ratio_1', 'hardness_ratio_1_error', 'hardness_ratio_2', 'hardness_ratio_2_error', 'hubble_type', 'instrument', 'lii', 'log_blackhole_mass', 'log_blackhole_mass_lower', 'log_blackhole_mass_upper', 'log_l_cpt1', 'log_l_cpt2', 'log_l_halpha', 'log_l_halpha_flag', 'log_lx', 'log_lx_lower', 'log_lx_note', 'log_lx_upper', 'name', 'nh', 'nh_from_hr', 'nh_from_hr_lower', 'nh_from_hr_upper', 'nh_gal', 'nh_lower', 'nh_upper', 'nuclear_class', 'obsid', 'off_set', 'ra', 'ref_spectrum', 'sigma', 'sigma_error', 'source_number', 'spectral_index', 'spectral_index_lower', 'spectral_index_upper', 'spectral_model', 'spectral_norm_cpt1', 'spectral_norm_cpt2', 'temperature', 'temperature_lower', 'temperature_upper']\n",
+      "Table chansngcat has columns=['\"__row\"', '\"__x_ra_dec\"', '\"__y_ra_dec\"', '\"__z_ra_dec\"', '\"distance\"', 'agn_flag', 'bii', 'class', 'dec', 'exposure', 'fit_chi_squared', 'fit_dof', 'flux', 'flux_lower', 'flux_upper', 'hardness_ratio_0', 'hardness_ratio_0_error', 'hardness_ratio_1', 'hardness_ratio_1_error', 'hardness_ratio_2', 'hardness_ratio_2_error', 'hubble_type', 'instrument', 'lii', 'log_blackhole_mass', 'log_blackhole_mass_lower', 'log_blackhole_mass_upper', 'log_l_cpt1', 'log_l_cpt2', 'log_l_halpha', 'log_l_halpha_flag', 'log_lx', 'log_lx_lower', 'log_lx_note', 'log_lx_upper', 'name', 'nh', 'nh_from_hr', 'nh_from_hr_lower', 'nh_from_hr_upper', 'nh_gal', 'nh_lower', 'nh_upper', 'nuclear_class', 'obsid', 'off_set', 'ra', 'ref_spectrum', 'sigma', 'sigma_error', 'source_number', 'spectral_index', 'spectral_index_lower', 'spectral_index_upper', 'spectral_model', 'spectral_norm_cpt1', 'spectral_norm_cpt2', 'temperature', 'temperature_lower', 'temperature_upper']\n",
       "\n"
      ]
     }
@@ -95,7 +95,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "1915cf94",
+   "id": "84d3aed4",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -107,14 +107,14 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "f71247e3",
+   "id": "0f615ade",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=1</i>\n",
-       "<table id=\"table140006838821616\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140020841036912\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ra</th><th>dec</th><th>exposure</th><th>flux</th><th>flux_lower</th><th>flux_upper</th></tr></thead>\n",
        "<thead><tr><th>deg</th><th>deg</th><th>s</th><th>erg/s/cm^2</th><th>erg/s/cm^2</th><th>erg/s/cm^2</th></tr></thead>\n",
        "<thead><tr><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th></tr></thead>\n",
@@ -151,7 +151,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0d281aa7",
+   "id": "6125c56a",
    "metadata": {},
    "source": [
     "## Step 2: Make Images\n",
@@ -164,14 +164,14 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "4d552e25",
+   "id": "559fd394",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=3</i>\n",
-       "<table id=\"table140006838614384\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140020841037152\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ivoid</th><th>short_name</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th></tr></thead>\n",
        "<tr><td>ivo://archive.stsci.edu/sia/galex</td><td>GALEX</td></tr>\n",
@@ -202,7 +202,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "01c18152",
+   "id": "1d8b7247",
    "metadata": {},
    "source": [
     "The keyword search for 'galex' returned a bunch of things that may have mentioned it, but let's just use the ones that have GALEX as their short name:"
@@ -211,14 +211,14 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "916762b7",
+   "id": "2e846899",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=3</i>\n",
-       "<table id=\"table140006838828768\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140021781262928\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>ivoid</th><th>short_name</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th></tr></thead>\n",
        "<tr><td>ivo://archive.stsci.edu/sia/galex</td><td>GALEX</td></tr>\n",
@@ -249,7 +249,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c5e8faf7",
+   "id": "fbd7a202",
    "metadata": {},
    "source": [
     "Though using the result as an Astropy Table makes it easier to look at the contents, to call the service itself, we cannot use the row of that table.  You have to use the entry in the service result list itself.  So use the table to browse, but select the list of services itself using the properties that have been defined as attributes such as short_name and ivoid:"
@@ -258,7 +258,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "19888d5e",
+   "id": "1c464621",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -268,7 +268,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ed49ec2a",
+   "id": "6c104846",
    "metadata": {},
    "source": [
     "Hint: Next create a UV image for the source"
@@ -277,37 +277,36 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "c0254cf0",
+   "id": "f18e22e9",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=809</i>\n",
-       "<table id=\"table140006838950720\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140021781421728\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>productType</th><th>imageFormat</th><th>contentLength</th><th>name</th><th>collection</th><th>insname</th><th>metaRelease</th><th>dataRelease</th><th>trgposRA</th><th>trgPosDec</th><th>s_region</th><th>position_naxes</th><th>position_naxis</th><th>position_scale</th><th>crpix</th><th>crval</th><th>cdmatrix</th><th>coordFrame</th><th>projection</th><th>position_ctype1</th><th>position_ctype2</th><th>position_cunit1</th><th>position_cunit2</th><th>timBoundsSTCS</th><th>time_bounds_cval1</th><th>time_bounds_cval2</th><th>time_bounds_center</th><th>timExposure</th><th>energy_bandpassName</th><th>energy_bounds_cval1</th><th>energy_bounds_cval2</th><th>energy_bounds_center</th><th>energy_units</th><th>publisherDID</th><th>accessURL</th><th>cloud_access</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th><th>int32</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>object</th><th>int32</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>str3</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>\n",
-       "<tr><td>CATALOG</td><td>image/fits</td><td>12795448</td><td>FORNAX_MOS07-xd-mcat.fits.gz</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-xd-mcat.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-xd-mcat.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>AUXILIARY</td><td>image/fits</td><td>26657879</td><td>FORNAX_MOS07-nd-intbgsub.fits.gz</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-intbgsub.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-intbgsub.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>AUXILIARY</td><td>image/fits</td><td>69109</td><td>FORNAX_MOS07-nd-flags.fits.gz</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-flags.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-flags.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>AUXILIARY</td><td>image/fits</td><td>25025</td><td>FORNAX_MOS07-nd-flagstar.fits.gz</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-flagstar.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-flagstar.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>THUMBNAIL</td><td>image/jpeg</td><td>11223</td><td>FORNAX_MOS07-xd-int_2color_thumb.jpg</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/qa/FORNAX_MOS07-xd-int_2color_thumb.jpg</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/qa/FORNAX_MOS07-xd-int_2color_thumb.jpg&quot;}}</td></tr>\n",
-       "<tr><td>INFO</td><td>image/fits</td><td>16434</td><td>FORNAX_MOS07-nd-cat_mch_rtastar.fits.gz</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-cat_mch_rtastar.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-cat_mch_rtastar.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>PREVIEW</td><td>image/jpeg</td><td>606044</td><td>FORNAX_MOS07-xd-int_2color_medium_annot.jpg</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/qa/FORNAX_MOS07-xd-int_2color_medium_annot.jpg</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/qa/FORNAX_MOS07-xd-int_2color_medium_annot.jpg&quot;}}</td></tr>\n",
-       "<tr><td>SCIENCE</td><td>image/fits</td><td>21333361</td><td>FORNAX_MOS07-nd-int.fits.gz</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-int.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-int.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>AUXILIARY</td><td>image/fits</td><td>6466083</td><td>FORNAX_MOS07-nd-cnt.fits.gz</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-cnt.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-cnt.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>AUXILIARY</td><td>image/fits</td><td>2512896</td><td>FORNAX_MOS07-nd-skybg.fits.gz</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-skybg.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-skybg.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>AUXILIARY</td><td>image/fits</td><td>2707665</td><td>NGA_NGC1365_0002_premap-fd-movie.fits.gz</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 10:52:02 PM</td><td>4/28/2010 10:52:02 PM</td><td>53.3547998389325</td><td>-36.140270948367</td><td>CIRCLE ICRS  53.35479984 -36.14027095 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.3548 -36.1403]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 53328.488796 53328.508032</td><td>53328.4887962963</td><td>53328.5080324074</td><td>53328.4984143519</td><td>1662.95</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2483772577986641920</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002_premap-fd-movie.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002_premap-fd-movie.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>AUXILIARY</td><td>image/fits</td><td>2707938</td><td>NGA_NGC1365_0002-fd-movie.fits.gz</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 10:52:02 PM</td><td>4/28/2010 10:52:02 PM</td><td>53.3547998389325</td><td>-36.140270948367</td><td>CIRCLE ICRS  53.35479984 -36.14027095 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.3548 -36.1403]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 53328.488796 53328.508032</td><td>53328.4887962963</td><td>53328.5080324074</td><td>53328.4984143519</td><td>1662.95</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2483772577986641920</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-movie.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-movie.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>AUXILIARY</td><td>image/fits</td><td>1478092</td><td>NGA_NGC1365_0002-fd-rr.fits.gz</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 10:52:02 PM</td><td>4/28/2010 10:52:02 PM</td><td>53.3547998389325</td><td>-36.140270948367</td><td>CIRCLE ICRS  53.35479984 -36.14027095 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.3548 -36.1403]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 53328.488796 53328.508032</td><td>53328.4887962963</td><td>53328.5080324074</td><td>53328.4984143519</td><td>1662.95</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2483772577986641920</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-rr.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-rr.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>AUXILIARY</td><td>image/fits</td><td>127462</td><td>NGA_NGC1365_0002-fd-objmask.fits.gz</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 10:52:02 PM</td><td>4/28/2010 10:52:02 PM</td><td>53.3547998389325</td><td>-36.140270948367</td><td>CIRCLE ICRS  53.35479984 -36.14027095 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.3548 -36.1403]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 53328.488796 53328.508032</td><td>53328.4887962963</td><td>53328.5080324074</td><td>53328.4984143519</td><td>1662.95</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2483772577986641920</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-objmask.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-objmask.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>AUXILIARY</td><td>image/fits</td><td>2062922</td><td>NGA_NGC1365_0002-fd-cnt.fits.gz</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 10:52:02 PM</td><td>4/28/2010 10:52:02 PM</td><td>53.3547998389325</td><td>-36.140270948367</td><td>CIRCLE ICRS  53.35479984 -36.14027095 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.3548 -36.1403]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 53328.488796 53328.508032</td><td>53328.4887962963</td><td>53328.5080324074</td><td>53328.4984143519</td><td>1662.95</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2483772577986641920</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-cnt.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-cnt.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>CATALOG</td><td>image/fits</td><td>1387259</td><td>NGA_NGC1365_0002-fd-cat.fits.gz</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 10:52:02 PM</td><td>4/28/2010 10:52:02 PM</td><td>53.3547998389325</td><td>-36.140270948367</td><td>CIRCLE ICRS  53.35479984 -36.14027095 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.3548 -36.1403]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 53328.488796 53328.508032</td><td>53328.4887962963</td><td>53328.5080324074</td><td>53328.4984143519</td><td>1662.95</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2483772577986641920</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-cat.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-cat.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>AUXILIARY</td><td>image/fits</td><td>4622533</td><td>NGA_NGC1365_0002-fd-ncat.fits.gz</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 10:52:02 PM</td><td>4/28/2010 10:52:02 PM</td><td>53.3547998389325</td><td>-36.140270948367</td><td>CIRCLE ICRS  53.35479984 -36.14027095 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.3548 -36.1403]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 53328.488796 53328.508032</td><td>53328.4887962963</td><td>53328.5080324074</td><td>53328.4984143519</td><td>1662.95</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2483772577986641920</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-ncat.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-ncat.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>PREVIEW</td><td>image/jpeg</td><td>2218425</td><td>NGA_NGC1365_0002-xd-int_2color.jpg</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 10:52:02 PM</td><td>4/28/2010 10:52:02 PM</td><td>53.3547998389325</td><td>-36.140270948367</td><td>CIRCLE ICRS  53.35479984 -36.14027095 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.3548 -36.1403]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 53328.488796 53328.508032</td><td>53328.4887962963</td><td>53328.5080324074</td><td>53328.4984143519</td><td>1662.95</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2483772577986641920</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/qa/NGA_NGC1365_0002-xd-int_2color.jpg</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/qa/NGA_NGC1365_0002-xd-int_2color.jpg&quot;}}</td></tr>\n",
+       "<tr><td>PREVIEW</td><td>image/jpeg</td><td>401798</td><td>NGA_NGC1365_0002-xd-int_2color_large.jpg</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 10:52:02 PM</td><td>4/28/2010 10:52:02 PM</td><td>53.3547998389325</td><td>-36.140270948367</td><td>CIRCLE ICRS  53.35479984 -36.14027095 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.3548 -36.1403]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 53328.488796 53328.508032</td><td>53328.4887962963</td><td>53328.5080324074</td><td>53328.4984143519</td><td>1662.95</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2483772577986641920</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/qa/NGA_NGC1365_0002-xd-int_2color_large.jpg</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/qa/NGA_NGC1365_0002-xd-int_2color_large.jpg&quot;}}</td></tr>\n",
        "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
-       "<tr><td>INFO</td><td>image/fits</td><td>9178</td><td>AIS_423_0002_sg49-asprta.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401042 54460.402153</td><td>54460.4010416667</td><td>54460.4021527778</td><td>54460.4015972222</td><td>96.0</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-asprta.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-asprta.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>AUXILIARY</td><td>image/fits</td><td>2203</td><td>AIS_423_0002_sg49-fd-flag_tbl.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401042 54460.402153</td><td>54460.4010416667</td><td>54460.4021527778</td><td>54460.4015972222</td><td>96.0</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-fd-flag_tbl.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-fd-flag_tbl.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>PREVIEW</td><td>image/jpeg</td><td>618132</td><td>AIS_423_0002_sg49-xd-int_2color_medium_annot.jpg</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401042 54460.402153</td><td>54460.4010416667</td><td>54460.4021527778</td><td>54460.4015972222</td><td>96.0</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color_medium_annot.jpg</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color_medium_annot.jpg&quot;}}</td></tr>\n",
-       "<tr><td>AUXILIARY</td><td>image/fits</td><td>54117</td><td>AIS_423_0002_sg49-fd-exp.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401042 54460.402153</td><td>54460.4010416667</td><td>54460.4021527778</td><td>54460.4015972222</td><td>96.0</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-fd-exp.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-fd-exp.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>AUXILIARY</td><td>image/fits</td><td>3967636</td><td>AIS_423_0002_sg49-fd-intbgsub.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401042 54460.402153</td><td>54460.4010416667</td><td>54460.4021527778</td><td>54460.4015972222</td><td>96.0</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-fd-intbgsub.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-fd-intbgsub.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>AUXILIARY</td><td>image/fits</td><td>11794</td><td>AIS_423_0002_sg49-fd-flags.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401042 54460.402153</td><td>54460.4010416667</td><td>54460.4021527778</td><td>54460.4015972222</td><td>96.0</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-fd-flags.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-fd-flags.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>INFO</td><td>image/fits</td><td>13483</td><td>AIS_423_0002_sg49-rtastar.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401042 54460.402153</td><td>54460.4010416667</td><td>54460.4021527778</td><td>54460.4015972222</td><td>96.0</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-rtastar.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-rtastar.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>INFO</td><td>image/fits</td><td>8757</td><td>AIS_423_0002_sg49-aspraw.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401042 54460.402153</td><td>54460.4010416667</td><td>54460.4021527778</td><td>54460.4015972222</td><td>96.0</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-aspraw.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-aspraw.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>AUXILIARY</td><td>image/fits</td><td>10482447</td><td>FORNAX_MOS07_0002-nd-rrhr.fits.gz</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 3:21:44 PM</td><td>4/28/2010 3:21:44 PM</td><td>54.0359149055626</td><td>-36.3362710522186</td><td>CIRCLE ICRS  54.03591491 -36.33627105 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0359 -36.3363]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54110.286030 54110.296377</td><td>54110.2860300926</td><td>54110.2963773148</td><td>54110.2912037037</td><td>894.45</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337590815326208</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/00-visits/0002-img/07-try/FORNAX_MOS07_0002-nd-rrhr.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/00-visits/0002-img/07-try/FORNAX_MOS07_0002-nd-rrhr.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>AUXILIARY</td><td>image/fits</td><td>207665</td><td>FORNAX_MOS07_0002-nd-objmask.fits.gz</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 3:21:44 PM</td><td>4/28/2010 3:21:44 PM</td><td>54.0359149055626</td><td>-36.3362710522186</td><td>CIRCLE ICRS  54.03591491 -36.33627105 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0359 -36.3363]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54110.286030 54110.296377</td><td>54110.2860300926</td><td>54110.2963773148</td><td>54110.2912037037</td><td>894.45</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337590815326208</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/00-visits/0002-img/07-try/FORNAX_MOS07_0002-nd-objmask.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/00-visits/0002-img/07-try/FORNAX_MOS07_0002-nd-objmask.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>CATALOG</td><td>image/fits</td><td>1765053</td><td>AIS_423_0002_sg49-nd-cat.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-nd-cat.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-nd-cat.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>CATALOG</td><td>image/fits</td><td>269663</td><td>AIS_423_0002_sg49_asprefine-nd-cat.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49_asprefine-nd-cat.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49_asprefine-nd-cat.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>AUXILIARY</td><td>image/fits</td><td>339243</td><td>AIS_423_0002_sg49-nd-fcat.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-nd-fcat.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-nd-fcat.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>PREVIEW</td><td>image/jpeg</td><td>3487526</td><td>AIS_423_0002_sg49-xd-int_2color.jpg</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color.jpg</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color.jpg&quot;}}</td></tr>\n",
+       "<tr><td>PREVIEW</td><td>image/jpeg</td><td>663752</td><td>AIS_423_0002_sg49-xd-int_2color_large.jpg</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color_large.jpg</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color_large.jpg&quot;}}</td></tr>\n",
+       "<tr><td>PREVIEW</td><td>image/jpeg</td><td>575892</td><td>AIS_423_0002_sg49-xd-int_2color_medium.jpg</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color_medium.jpg</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color_medium.jpg&quot;}}</td></tr>\n",
+       "<tr><td>PREVIEW</td><td>image/jpeg</td><td>134331</td><td>AIS_423_0002_sg49-xd-int_2color_small.jpg</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color_small.jpg</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color_small.jpg&quot;}}</td></tr>\n",
+       "<tr><td>INFO</td><td>image/fits</td><td>8737</td><td>AIS_423_0002_sg49-asp.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-asp.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-asp.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>AUXILIARY</td><td>image/fits</td><td>64456</td><td>AIS_423_0002_sg49-nd-cat_mch_flagstar.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-nd-cat_mch_flagstar.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-nd-cat_mch_flagstar.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>AUXILIARY</td><td>image/fits</td><td>25691</td><td>AIS_423_0002_sg49-nd-flag_tbl.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-nd-flag_tbl.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-nd-flag_tbl.fits.gz&quot;}}</td></tr>\n",
        "</table></div>"
       ],
       "text/plain": [
@@ -315,24 +314,23 @@
        "productType ...\n",
        "   object   ...\n",
        "----------- ...\n",
-       "    CATALOG ...\n",
        "  AUXILIARY ...\n",
        "  AUXILIARY ...\n",
        "  AUXILIARY ...\n",
-       "  THUMBNAIL ...\n",
-       "       INFO ...\n",
-       "    PREVIEW ...\n",
-       "    SCIENCE ...\n",
        "  AUXILIARY ...\n",
        "  AUXILIARY ...\n",
-       "        ... ...\n",
-       "       INFO ...\n",
+       "    CATALOG ...\n",
        "  AUXILIARY ...\n",
        "    PREVIEW ...\n",
+       "    PREVIEW ...\n",
+       "        ... ...\n",
+       "    CATALOG ...\n",
+       "    CATALOG ...\n",
        "  AUXILIARY ...\n",
-       "  AUXILIARY ...\n",
-       "  AUXILIARY ...\n",
-       "       INFO ...\n",
+       "    PREVIEW ...\n",
+       "    PREVIEW ...\n",
+       "    PREVIEW ...\n",
+       "    PREVIEW ...\n",
        "       INFO ...\n",
        "  AUXILIARY ...\n",
        "  AUXILIARY ..."
@@ -352,27 +350,27 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "2d744e22",
+   "id": "782e58e1",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=2</i>\n",
-       "<table id=\"table140006838820608\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140020784058224\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>Survey</th><th>Ra</th><th>Dec</th><th>Dim</th><th>Size</th><th>Scale</th><th>Format</th><th>PixFlags</th><th>URL</th><th>LogicalName</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>float64</th><th>float64</th><th>int32</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>\n",
-       "<tr><td>galexnear</td><td>53.4019083</td><td>-36.1406583</td><td>2</td><td>[300 300]</td><td>[-0.0003333333333333334 0.0003333333333333334]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=53.4019083%2C-36.1406583&amp;survey=galexnear&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.10000000000000002%2C0.10000000000000002&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304684503&amp;return=FITS</td><td>1</td></tr>\n",
-       "<tr><td>galexfar</td><td>53.4019083</td><td>-36.1406583</td><td>2</td><td>[300 300]</td><td>[-0.0003333333333333334 0.0003333333333333334]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=53.4019083%2C-36.1406583&amp;survey=galexfar&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.10000000000000002%2C0.10000000000000002&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304684723&amp;return=FITS</td><td>2</td></tr>\n",
+       "<tr><td>galexnear</td><td>53.40190833</td><td>-36.14065833</td><td>2</td><td>[300 300]</td><td>[-0.0003333333333333334 0.0003333333333333334]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=53.40190833%2C-36.14065833&amp;survey=galexnear&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.10000000000000002%2C0.10000000000000002&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546471271&amp;return=FITS</td><td>1</td></tr>\n",
+       "<tr><td>galexfar</td><td>53.40190833</td><td>-36.14065833</td><td>2</td><td>[300 300]</td><td>[-0.0003333333333333334 0.0003333333333333334]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=53.40190833%2C-36.14065833&amp;survey=galexfar&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.10000000000000002%2C0.10000000000000002&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546471457&amp;return=FITS</td><td>2</td></tr>\n",
        "</table></div>"
       ],
       "text/plain": [
        "<Table length=2>\n",
-       "  Survey      Ra     ... LogicalName\n",
-       "  object   float64   ...    object  \n",
-       "--------- ---------- ... -----------\n",
-       "galexnear 53.4019083 ...           1\n",
-       " galexfar 53.4019083 ...           2"
+       "  Survey       Ra     ... LogicalName\n",
+       "  object    float64   ...    object  \n",
+       "--------- ----------- ... -----------\n",
+       "galexnear 53.40190833 ...           1\n",
+       " galexfar 53.40190833 ...           2"
       ]
      },
      "execution_count": 10,
@@ -390,7 +388,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "38b4c5f0",
+   "id": "048a2022",
    "metadata": {},
    "outputs": [
     {
@@ -415,13 +413,13 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "d4cf9a64",
+   "id": "e163cbd3",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x7f55e178e170>"
+       "<matplotlib.image.AxesImage at 0x7f592073b670>"
       ]
      },
      "execution_count": 12,
@@ -430,7 +428,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 480x480 with 1 Axes>"
       ]
@@ -448,7 +446,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1fde7367",
+   "id": "8bca8656",
    "metadata": {},
    "source": [
     "Hint: Repeat steps for X-ray image. (Note: Ideally, we would find an image in the Chandra 'cxc' catalog)"
@@ -457,7 +455,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "3dcddbc9",
+   "id": "18d1e254",
    "metadata": {},
    "outputs": [
     {
@@ -469,6 +467,7 @@
       "        CDA         ivo://cxc.harvard.edu/cda.siap\n",
       "        CSC         ivo://cxc.harvard.edu/csc.siap\n",
       "      CSCR1       ivo://cxc.harvard.edu/cscr1.siap\n",
+      "        CSC     ivo://cxc.harvard.edu/cscr2.1.siap\n",
       "      CSCR2       ivo://cxc.harvard.edu/cscr2.siap\n",
       "    Chandra          ivo://nasa.heasarc/chanmaster\n",
       "GOODSACISFB ivo://nasa.heasarc/skyview/goodsacisfb\n"
@@ -483,7 +482,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "f4e02c94",
+   "id": "a2cbabaf",
    "metadata": {},
    "outputs": [
     {
@@ -505,7 +504,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "69644677",
+   "id": "13976e88",
    "metadata": {},
    "outputs": [
     {
@@ -520,7 +519,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -544,7 +543,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b60e2d40",
+   "id": "b5f854e6",
    "metadata": {},
    "source": [
     "## Step 3: Make a spectrum\n",
@@ -557,14 +556,14 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "46c20be1",
+   "id": "0e3f0dda",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=6</i>\n",
-       "<table id=\"table140006811248448\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140020717724400\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>short_name</th><th>ivoid</th><th>waveband</th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>\n",
        "<tr><td>Chandra</td><td>ivo://nasa.heasarc/chanmaster</td><td>x-ray</td></tr>\n",
@@ -601,7 +600,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c478dc5d",
+   "id": "3d217c39",
    "metadata": {},
    "source": [
     "Hint 2: Take a look at what data exist for our candidate, NGC 1365."
@@ -610,32 +609,32 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "9b6d7d63",
+   "id": "cf74fd44",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div><i>Table length=15</i>\n",
-       "<table id=\"table140006811244944\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<table id=\"table140020717727232\" class=\"table-striped table-bordered table-condensed\">\n",
        "<thead><tr><th>obsid</th><th>status</th><th>name</th><th>ra</th><th>dec</th><th>time</th><th>detector</th><th>grating</th><th>exposure</th><th>type</th><th>pi</th><th>public_date</th><th>datalink</th><th>SSA_start_time</th><th>SSA_tmid</th><th>SSA_stop_time</th><th>SSA_duration</th><th>SSA_coord_obs</th><th>SSA_ra</th><th>SSA_dec</th><th>SSA_fov</th><th>SSA_title</th><th>SSA_reference</th><th>SSA_datalength</th><th>SSA_datamodel</th><th>SSA_instrument</th><th>SSA_publisher</th><th>SSA_format</th><th>SSA_wavelength_min</th><th>SSA_wavelength_max</th><th>SSA_bandwidth</th><th>SSA_bandpass</th><th>cloud_access</th></tr></thead>\n",
        "<thead><tr><th></th><th></th><th></th><th>deg</th><th>deg</th><th>d</th><th></th><th></th><th>s</th><th></th><th></th><th>d</th><th></th><th>d</th><th>d</th><th>d</th><th>s</th><th>deg</th><th>deg</th><th>deg</th><th>deg</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>m</th><th>m</th><th>m</th><th>m</th><th></th></tr></thead>\n",
        "<thead><tr><th>object</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>float64</th><th>object</th><th>object</th><th>int32</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>object</th></tr></thead>\n",
-       "<tr><td>25036</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59345.6677</td><td>ACIS-S</td><td>HETG</td><td>18180</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4448:chandra.obs.misc</td><td>59345.6677199074</td><td>--</td><td>--</td><td>18180.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf25036N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/6/25036/primary/acisf25036N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/6/25036/primary/acisf25036N001_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>25024</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59340.9376</td><td>ACIS-S</td><td>HETG</td><td>14080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4449:chandra.obs.misc</td><td>59340.9376041667</td><td>--</td><td>--</td><td>14080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf25024N002_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/4/25024/primary/acisf25024N002_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/4/25024/primary/acisf25024N002_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>24737</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59319.8031</td><td>ACIS-S</td><td>HETG</td><td>20080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4450:chandra.obs.misc</td><td>59319.8030787037</td><td>--</td><td>--</td><td>20080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24737N002_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/7/24737/primary/acisf24737N002_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/7/24737/primary/acisf24737N002_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>24787</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59340.0616</td><td>ACIS-S</td><td>HETG</td><td>39090</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4451:chandra.obs.misc</td><td>59340.0615740741</td><td>--</td><td>--</td><td>39090.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24787N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/7/24787/primary/acisf24787N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/7/24787/primary/acisf24787N001_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>24788</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59342.738</td><td>ACIS-S</td><td>HETG</td><td>25080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4452:chandra.obs.misc</td><td>59342.737974537</td><td>--</td><td>--</td><td>25080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24788N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/8/24788/primary/acisf24788N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/8/24788/primary/acisf24788N001_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>24789</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59333.3037</td><td>ACIS-S</td><td>HETG</td><td>21280</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4453:chandra.obs.misc</td><td>59333.30375</td><td>--</td><td>--</td><td>21280.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24789N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/9/24789/primary/acisf24789N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/9/24789/primary/acisf24789N001_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>24790</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59343.4834</td><td>ACIS-S</td><td>HETG</td><td>18080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4454:chandra.obs.misc</td><td>59343.4834143519</td><td>--</td><td>--</td><td>18080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24790N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/0/24790/primary/acisf24790N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/0/24790/primary/acisf24790N001_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>24792</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59344.0923</td><td>ACIS-S</td><td>HETG</td><td>17080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4455:chandra.obs.misc</td><td>59344.0923148148</td><td>--</td><td>--</td><td>17080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24792N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/2/24792/primary/acisf24792N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/2/24792/primary/acisf24792N001_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>24791</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59326.8302</td><td>ACIS-S</td><td>HETG</td><td>26580</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4456:chandra.obs.misc</td><td>59326.8301736111</td><td>--</td><td>--</td><td>26580.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24791N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/1/24791/primary/acisf24791N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/1/24791/primary/acisf24791N001_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>24793</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59335.6602</td><td>ACIS-S</td><td>HETG</td><td>17080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4457:chandra.obs.misc</td><td>59335.6602083333</td><td>--</td><td>--</td><td>17080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24793N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/3/24793/primary/acisf24793N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/3/24793/primary/acisf24793N001_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>24794</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59321.5437</td><td>ACIS-S</td><td>HETG</td><td>38090</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4458:chandra.obs.misc</td><td>59321.5437152778</td><td>--</td><td>--</td><td>38090.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24794N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/4/24794/primary/acisf24794N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/4/24794/primary/acisf24794N001_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>24795</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59328.2974</td><td>ACIS-S</td><td>HETG</td><td>27880</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4459:chandra.obs.misc</td><td>59328.2974189815</td><td>--</td><td>--</td><td>27880.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24795N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/5/24795/primary/acisf24795N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/5/24795/primary/acisf24795N001_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>25015</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59336.1988</td><td>ACIS-S</td><td>HETG</td><td>17080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4460:chandra.obs.misc</td><td>59336.1987962963</td><td>--</td><td>--</td><td>17080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf25015N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/5/25015/primary/acisf25015N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/5/25015/primary/acisf25015N001_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>13921</td><td>archived</td><td>NGC 1365</td><td>53.40167</td><td>-36.14028</td><td>56029.0272</td><td>ACIS-S</td><td>HETG</td><td>110050</td><td>GO</td><td>Reeves</td><td>56398</td><td>4464:chandra.obs.misc</td><td>56029.0271643518</td><td>--</td><td>--</td><td>110050.0</td><td>--</td><td>53.40167</td><td>-36.14028</td><td>0.81</td><td>acisf13921N002_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/1/13921/primary/acisf13921N002_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/1/13921/primary/acisf13921N002_pha2.fits.gz&quot;}}</td></tr>\n",
-       "<tr><td>13920</td><td>archived</td><td>NGC 1365</td><td>53.40167</td><td>-36.14028</td><td>56026.4065</td><td>ACIS-S</td><td>HETG</td><td>90040</td><td>GO</td><td>Reeves</td><td>56398</td><td>4465:chandra.obs.misc</td><td>56026.4065162037</td><td>--</td><td>--</td><td>90040.0</td><td>--</td><td>53.40167</td><td>-36.14028</td><td>0.81</td><td>acisf13920N002_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/0/13920/primary/acisf13920N002_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/0/13920/primary/acisf13920N002_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>24737</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59319.8031</td><td>ACIS-S</td><td>HETG</td><td>20080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4492:chandra.obs.misc</td><td>59319.8030787037</td><td>--</td><td>--</td><td>20080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24737N002_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/7/24737/primary/acisf24737N002_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/7/24737/primary/acisf24737N002_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>25024</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59340.9376</td><td>ACIS-S</td><td>HETG</td><td>14080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4493:chandra.obs.misc</td><td>59340.9376041667</td><td>--</td><td>--</td><td>14080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf25024N002_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/4/25024/primary/acisf25024N002_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/4/25024/primary/acisf25024N002_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>24787</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59340.0616</td><td>ACIS-S</td><td>HETG</td><td>39090</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4494:chandra.obs.misc</td><td>59340.0615740741</td><td>--</td><td>--</td><td>39090.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24787N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/7/24787/primary/acisf24787N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/7/24787/primary/acisf24787N001_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>24788</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59342.738</td><td>ACIS-S</td><td>HETG</td><td>25080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4495:chandra.obs.misc</td><td>59342.737974537</td><td>--</td><td>--</td><td>25080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24788N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/8/24788/primary/acisf24788N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/8/24788/primary/acisf24788N001_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>24789</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59333.3037</td><td>ACIS-S</td><td>HETG</td><td>21280</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4496:chandra.obs.misc</td><td>59333.30375</td><td>--</td><td>--</td><td>21280.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24789N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/9/24789/primary/acisf24789N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/9/24789/primary/acisf24789N001_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>24790</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59343.4834</td><td>ACIS-S</td><td>HETG</td><td>18080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4497:chandra.obs.misc</td><td>59343.4834143519</td><td>--</td><td>--</td><td>18080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24790N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/0/24790/primary/acisf24790N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/0/24790/primary/acisf24790N001_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>24791</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59326.8302</td><td>ACIS-S</td><td>HETG</td><td>26580</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4498:chandra.obs.misc</td><td>59326.8301736111</td><td>--</td><td>--</td><td>26580.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24791N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/1/24791/primary/acisf24791N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/1/24791/primary/acisf24791N001_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>24792</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59344.0923</td><td>ACIS-S</td><td>HETG</td><td>17080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4499:chandra.obs.misc</td><td>59344.0923148148</td><td>--</td><td>--</td><td>17080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24792N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/2/24792/primary/acisf24792N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/2/24792/primary/acisf24792N001_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>24793</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59335.6602</td><td>ACIS-S</td><td>HETG</td><td>17080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4500:chandra.obs.misc</td><td>59335.6602083333</td><td>--</td><td>--</td><td>17080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24793N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/3/24793/primary/acisf24793N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/3/24793/primary/acisf24793N001_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>24794</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59321.5437</td><td>ACIS-S</td><td>HETG</td><td>38090</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4501:chandra.obs.misc</td><td>59321.5437152778</td><td>--</td><td>--</td><td>38090.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24794N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/4/24794/primary/acisf24794N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/4/24794/primary/acisf24794N001_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>24795</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59328.2974</td><td>ACIS-S</td><td>HETG</td><td>27880</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4502:chandra.obs.misc</td><td>59328.2974189815</td><td>--</td><td>--</td><td>27880.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24795N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/5/24795/primary/acisf24795N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/5/24795/primary/acisf24795N001_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>25015</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59336.1988</td><td>ACIS-S</td><td>HETG</td><td>17080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4503:chandra.obs.misc</td><td>59336.1987962963</td><td>--</td><td>--</td><td>17080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf25015N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/5/25015/primary/acisf25015N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/5/25015/primary/acisf25015N001_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>25036</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59345.6677</td><td>ACIS-S</td><td>HETG</td><td>18180</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4504:chandra.obs.misc</td><td>59345.6677199074</td><td>--</td><td>--</td><td>18180.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf25036N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/6/25036/primary/acisf25036N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/6/25036/primary/acisf25036N001_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>13920</td><td>archived</td><td>NGC 1365</td><td>53.40167</td><td>-36.14028</td><td>56026.4065</td><td>ACIS-S</td><td>HETG</td><td>90040</td><td>GO</td><td>Reeves</td><td>56398</td><td>4508:chandra.obs.misc</td><td>56026.4065162037</td><td>--</td><td>--</td><td>90040.0</td><td>--</td><td>53.40167</td><td>-36.14028</td><td>0.81</td><td>acisf13920N002_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/0/13920/primary/acisf13920N002_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/0/13920/primary/acisf13920N002_pha2.fits.gz&quot;}}</td></tr>\n",
+       "<tr><td>13921</td><td>archived</td><td>NGC 1365</td><td>53.40167</td><td>-36.14028</td><td>56029.0272</td><td>ACIS-S</td><td>HETG</td><td>110050</td><td>GO</td><td>Reeves</td><td>56398</td><td>4509:chandra.obs.misc</td><td>56029.0271643518</td><td>--</td><td>--</td><td>110050.0</td><td>--</td><td>53.40167</td><td>-36.14028</td><td>0.81</td><td>acisf13921N002_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/1/13921/primary/acisf13921N002_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/1/13921/primary/acisf13921N002_pha2.fits.gz&quot;}}</td></tr>\n",
        "</table></div>"
       ],
       "text/plain": [
@@ -644,21 +643,21 @@
        "       ...\n",
        "object ...\n",
        "------ ...\n",
-       " 25036 ...\n",
-       " 25024 ...\n",
        " 24737 ...\n",
+       " 25024 ...\n",
        " 24787 ...\n",
        " 24788 ...\n",
        " 24789 ...\n",
        " 24790 ...\n",
-       " 24792 ...\n",
        " 24791 ...\n",
+       " 24792 ...\n",
        " 24793 ...\n",
        " 24794 ...\n",
        " 24795 ...\n",
        " 25015 ...\n",
-       " 13921 ...\n",
-       " 13920 ..."
+       " 25036 ...\n",
+       " 13920 ...\n",
+       " 13921 ..."
       ]
      },
      "execution_count": 17,
@@ -673,7 +672,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d577b363",
+   "id": "2c80bae9",
    "metadata": {},
    "source": [
     "Hint 3: Download the data to make a spectrum. Note: you might end here and use Xspec to plot and model the spectrum. Or ... you can also try to take a quick look at the spectrum."
@@ -682,7 +681,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "071a84b9",
+   "id": "2aa7240f",
    "metadata": {},
    "outputs": [
     {
@@ -722,7 +721,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "3d2e2cff",
+   "id": "6b4c875b",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -739,7 +738,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "73dd492f",
+   "id": "662d9b20",
    "metadata": {},
    "source": [
     "Extension: Making a \"quick look\" spectrum. For our purposes, the 1st order of the HEG grating data would be sufficient."
@@ -748,12 +747,12 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "22cff9fb",
+   "id": "7e55464c",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 800x300 with 2 Axes>"
       ]
@@ -779,7 +778,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "56e7be68",
+   "id": "592ddf84",
    "metadata": {},
    "source": [
     "This can then be analyzed in your favorite spectral analysis tool, e.g., [pyXspec](https://heasarc.gsfc.nasa.gov/xanadu/xspec/python/html/index.html).  (For the winter 2018 AAS workshop, we demonstrated this in a [notebook](https://github.com/NASA-NAVO/aas_workshop_2018/blob/master/heasarc/heasarc_Spectral_Access.md) that you can consult for how to use pyXspec, but the pyXspec documentation will have more information.)"
@@ -787,7 +786,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "555fc4b8",
+   "id": "e21286a0",
    "metadata": {},
    "source": [
     "Congratulations! You have completed this notebook exercise."
@@ -820,7 +819,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.10.14"
   },
   "nav_menu": {},
   "source_map": [
diff --git a/_static/basic.css b/_static/basic.css
index d54be80..2af6139 100644
--- a/_static/basic.css
+++ b/_static/basic.css
@@ -4,7 +4,7 @@
  *
  * Sphinx stylesheet -- basic theme.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -222,7 +222,7 @@ table.modindextable td {
 /* -- general body styles --------------------------------------------------- */
 
 div.body {
-    min-width: 450px;
+    min-width: 360px;
     max-width: 800px;
 }
 
@@ -237,14 +237,8 @@ a.headerlink {
     visibility: hidden;
 }
 
-a.brackets:before,
-span.brackets > a:before{
-    content: "[";
-}
-
-a.brackets:after,
-span.brackets > a:after {
-    content: "]";
+a:visited {
+    color: #551A8B;
 }
 
 h1:hover > a.headerlink,
@@ -335,12 +329,16 @@ 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;
@@ -379,6 +377,8 @@ div.body p.centered {
 
 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;
@@ -386,6 +386,8 @@ div.admonition > :last-child {
 
 div.sidebar::after,
 aside.sidebar::after,
+nav.contents::after,
+aside.topic::after,
 div.topic::after,
 div.admonition::after,
 blockquote::after {
@@ -428,10 +430,6 @@ table.docutils td, table.docutils th {
     border-bottom: 1px solid #aaa;
 }
 
-table.footnote td, table.footnote th {
-    border: 0 !important;
-}
-
 th {
     text-align: left;
     padding-right: 5px;
@@ -615,19 +613,26 @@ ul.simple p {
     margin-bottom: 0;
 }
 
-dl.footnote > dt,
-dl.citation > dt {
+aside.footnote > span,
+div.citation > span {
     float: left;
-    margin-right: 0.5em;
 }
-
-dl.footnote > dd,
-dl.citation > dd {
+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;
 }
-
-dl.footnote > dd:after,
-dl.citation > dd:after {
+aside.footnote > p:last-of-type:after,
+div.citation > p:last-of-type:after {
     content: "";
     clear: both;
 }
@@ -644,10 +649,6 @@ dl.field-list > dt {
     padding-right: 5px;
 }
 
-dl.field-list > dt:after {
-    content: ":";
-}
-
 dl.field-list > dd {
     padding-left: 0.5em;
     margin-top: 0em;
@@ -673,6 +674,16 @@ dd {
     margin-left: 30px;
 }
 
+.sig dd {
+    margin-top: 0px;
+    margin-bottom: 0px;
+}
+
+.sig dl {
+    margin-top: 0px;
+    margin-bottom: 0px;
+}
+
 dl > dd:last-child,
 dl > dd:last-child > :last-child {
     margin-bottom: 0;
@@ -741,6 +752,14 @@ abbr, acronym {
     cursor: help;
 }
 
+.translated {
+    background-color: rgba(207, 255, 207, 0.2)
+}
+
+.untranslated {
+    background-color: rgba(255, 207, 207, 0.2)
+}
+
 /* -- code displays --------------------------------------------------------- */
 
 pre {
diff --git a/_static/doctools.js b/_static/doctools.js
index e1bfd70..4d67807 100644
--- a/_static/doctools.js
+++ b/_static/doctools.js
@@ -2,357 +2,155 @@
  * doctools.js
  * ~~~~~~~~~~~
  *
- * Sphinx JavaScript utilities for all documentation.
+ * Base JavaScript utilities for all Sphinx HTML documentation.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
-
-/**
- * select a different prefix for underscore
- */
-$u = _.noConflict();
-
-/**
- * make the code below compatible with browsers without
- * an installed firebug like debugger
-if (!window.console || !console.firebug) {
-  var names = ["log", "debug", "info", "warn", "error", "assert", "dir",
-    "dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace",
-    "profile", "profileEnd"];
-  window.console = {};
-  for (var i = 0; i < names.length; ++i)
-    window.console[names[i]] = function() {};
-}
- */
-
-/**
- * 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);
+"use strict";
+
+const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([
+  "TEXTAREA",
+  "INPUT",
+  "SELECT",
+  "BUTTON",
+]);
+
+const _ready = (callback) => {
+  if (document.readyState !== "loading") {
+    callback();
+  } else {
+    document.addEventListener("DOMContentLoaded", callback);
   }
-  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;
-}
-
 /**
  * Small JavaScript module for the documentation.
  */
-var Documentation = {
-
-  init : function() {
-    this.fixFirefoxAnchorBug();
-    this.highlightSearchWords();
-    this.initIndexTable();
-    this.initOnKeyListeners();
+const Documentation = {
+  init: () => {
+    Documentation.initDomainIndexTable();
+    Documentation.initOnKeyListeners();
   },
 
   /**
    * i18n support
    */
-  TRANSLATIONS : {},
-  PLURAL_EXPR : function(n) { return n === 1 ? 0 : 1; },
-  LOCALE : 'unknown',
+  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 : function(string) {
-    var translated = Documentation.TRANSLATIONS[string];
-    if (typeof translated === 'undefined')
-      return string;
-    return (typeof translated === 'string') ? translated : translated[0];
-  },
-
-  ngettext : function(singular, plural, n) {
-    var translated = Documentation.TRANSLATIONS[singular];
-    if (typeof translated === 'undefined')
-      return (n == 1) ? singular : plural;
-    return translated[Documentation.PLURALEXPR(n)];
-  },
-
-  addTranslations : function(catalog) {
-    for (var key in catalog.messages)
-      this.TRANSLATIONS[key] = catalog.messages[key];
-    this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')');
-    this.LOCALE = catalog.locale;
-  },
-
-  /**
-   * add context elements like header anchor links
-   */
-  addContextElements : function() {
-    $('div[id] > :header:first').each(function() {
-      $('<a class="headerlink">\u00B6</a>').
-      attr('href', '#' + this.id).
-      attr('title', _('Permalink to this headline')).
-      appendTo(this);
-    });
-    $('dt[id]').each(function() {
-      $('<a class="headerlink">\u00B6</a>').
-      attr('href', '#' + this.id).
-      attr('title', _('Permalink to this definition')).
-      appendTo(this);
-    });
-  },
-
-  /**
-   * workaround a firefox stupidity
-   * see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075
-   */
-  fixFirefoxAnchorBug : function() {
-    if (document.location.hash && $.browser.mozilla)
-      window.setTimeout(function() {
-        document.location.href += '';
-      }, 10);
-  },
-
-  /**
-   * highlight the search words provided in the url in the text
-   */
-  highlightSearchWords : function() {
-    var params = $.getQueryParameters();
-    var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : [];
-    if (terms.length) {
-      var body = $('div.body');
-      if (!body.length) {
-        body = $('body');
-      }
-      window.setTimeout(function() {
-        $.each(terms, function() {
-          body.highlightText(this.toLowerCase(), 'highlighted');
-        });
-      }, 10);
-      $('<p class="highlight-link"><a href="javascript:Documentation.' +
-        'hideSearchWords()">' + _('Hide Search Matches') + '</a></p>')
-          .appendTo($('#searchbox'));
+  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
     }
   },
 
-  /**
-   * init the domain index toggle buttons
-   */
-  initIndexTable : function() {
-    var togglers = $('img.toggler').click(function() {
-      var src = $(this).attr('src');
-      var idnum = $(this).attr('id').substr(7);
-      $('tr.cg-' + idnum).toggle();
-      if (src.substr(-9) === 'minus.png')
-        $(this).attr('src', src.substr(0, src.length-9) + 'plus.png');
-      else
-        $(this).attr('src', src.substr(0, src.length-8) + 'minus.png');
-    }).css('display', '');
-    if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) {
-        togglers.click();
-    }
+  ngettext: (singular, plural, n) => {
+    const translated = Documentation.TRANSLATIONS[singular];
+    if (typeof translated !== "undefined")
+      return translated[Documentation.PLURAL_EXPR(n)];
+    return n === 1 ? singular : plural;
   },
 
-  /**
-   * helper function to hide the search marks again
-   */
-  hideSearchWords : function() {
-    $('#searchbox .highlight-link').fadeOut(300);
-    $('span.highlighted').removeClass('highlighted');
-    var url = new URL(window.location);
-    url.searchParams.delete('highlight');
-    window.history.replaceState({}, '', url);
+  addTranslations: (catalog) => {
+    Object.assign(Documentation.TRANSLATIONS, catalog.messages);
+    Documentation.PLURAL_EXPR = new Function(
+      "n",
+      `return (${catalog.plural_expr})`
+    );
+    Documentation.LOCALE = catalog.locale;
   },
 
-   /**
+  /**
    * helper function to focus on search bar
    */
-  focusSearchBar : function() {
-    $('input[name=q]').first().focus();
+  focusSearchBar: () => {
+    document.querySelectorAll("input[name=q]")[0]?.focus();
   },
 
   /**
-   * make the url absolute
+   * Initialise the domain index toggle buttons
    */
-  makeURL : function(relativeURL) {
-    return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL;
-  },
+  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 = ""));
+      }
+    };
 
-  /**
-   * get the current relative url
-   */
-  getCurrentURL : function() {
-    var path = document.location.pathname;
-    var parts = path.split(/\//);
-    $.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() {
-      if (this === '..')
-        parts.pop();
-    });
-    var url = parts.join('/');
-    return path.substring(url.lastIndexOf('/') + 1, path.length - 1);
+    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: function() {
+  initOnKeyListeners: () => {
     // only install a listener if it is really needed
-    if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS &&
-        !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS)
-        return;
-
-    $(document).keydown(function(event) {
-      var activeElementType = document.activeElement.tagName;
-      // don't navigate when in search box, textarea, dropdown or button
-      if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT'
-          && activeElementType !== 'BUTTON') {
-        if (event.altKey || event.ctrlKey || event.metaKey)
-          return;
-
-          if (!event.shiftKey) {
-            switch (event.key) {
-              case 'ArrowLeft':
-                if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS)
-                  break;
-                var prevHref = $('link[rel="prev"]').prop('href');
-                if (prevHref) {
-                  window.location.href = prevHref;
-                  return false;
-                }
-                break;
-              case 'ArrowRight':
-                if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS)
-                  break;
-                var nextHref = $('link[rel="next"]').prop('href');
-                if (nextHref) {
-                  window.location.href = nextHref;
-                  return false;
-                }
-                break;
-              case 'Escape':
-                if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS)
-                  break;
-                Documentation.hideSearchWords();
-                return false;
-          }
-        }
-
-        // some keyboard layouts may need Shift to get /
+    if (
+      !DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS &&
+      !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS
+    )
+      return;
+
+    document.addEventListener("keydown", (event) => {
+      // bail for input elements
+      if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+      // bail with special keys
+      if (event.altKey || event.ctrlKey || event.metaKey) return;
+
+      if (!event.shiftKey) {
         switch (event.key) {
-          case '/':
-            if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS)
-              break;
-            Documentation.focusSearchBar();
-            return false;
+          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;
         }
       }
+
+      // 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
-_ = Documentation.gettext;
+const _ = Documentation.gettext;
 
-$(document).ready(function() {
-  Documentation.init();
-});
+_ready(Documentation.init);
diff --git a/_static/documentation_options.js b/_static/documentation_options.js
index 877e3c3..dab586c 100644
--- a/_static/documentation_options.js
+++ b/_static/documentation_options.js
@@ -1,14 +1,13 @@
-var DOCUMENTATION_OPTIONS = {
-    URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
+const DOCUMENTATION_OPTIONS = {
     VERSION: '',
-    LANGUAGE: 'None',
+    LANGUAGE: 'en',
     COLLAPSE_INDEX: false,
     BUILDER: 'html',
     FILE_SUFFIX: '.html',
     LINK_SUFFIX: '.html',
     HAS_SOURCE: true,
     SOURCELINK_SUFFIX: '',
-    NAVIGATION_WITH_KEYS: true,
+    NAVIGATION_WITH_KEYS: false,
     SHOW_SEARCH_SUMMARY: true,
     ENABLE_SEARCH_SHORTCUTS: true,
 };
\ No newline at end of file
diff --git a/_static/jquery-3.5.1.js b/_static/jquery-3.5.1.js
deleted file mode 100644
index 5093733..0000000
--- a/_static/jquery-3.5.1.js
+++ /dev/null
@@ -1,10872 +0,0 @@
-/*!
- * jQuery JavaScript Library v3.5.1
- * https://jquery.com/
- *
- * Includes Sizzle.js
- * https://sizzlejs.com/
- *
- * Copyright JS Foundation and other contributors
- * Released under the MIT license
- * https://jquery.org/license
- *
- * Date: 2020-05-04T22:49Z
- */
-( 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.
-      return typeof obj === "function" && typeof obj.nodeType !== "number";
-  };
-
-
-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 = "3.5.1",
-
-	// 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 v2.3.5
- * https://sizzlejs.com/
- *
- * Copyright JS Foundation and other contributors
- * Released under the MIT license
- * https://js.foundation/
- *
- * Date: 2020-03-14
- */
-( 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.namespaceURI,
-		docElem = ( 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 master Deferred
-			master = 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 ) ) {
-						master.resolveWith( resolveContexts, resolveValues );
-					}
-				};
-			};
-
-		// Single- and empty arguments are adopted like Promise.resolve
-		if ( remaining <= 1 ) {
-			adoptValue( singleValue, master.done( updateFunc( i ) ).resolve, master.reject,
-				!remaining );
-
-			// Use .then() to unwrap secondary thenables (cf. gh-3000)
-			if ( master.state() === "pending" ||
-				isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) {
-
-				return master.then();
-			}
-		}
-
-		// Multiple arguments are aggregated like Promise.all array elements
-		while ( i-- ) {
-			adoptValue( resolveValues[ i ], updateFunc( i ), master.reject );
-		}
-
-		return master.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
-	rkeyEvent = /^key/,
-	rmouseEvent = /^(?:mouse|pointer|contextmenu|drag|drop)|click/,
-	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();
-						return 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: function( event ) {
-		var button = event.button;
-
-		// Add which for key events
-		if ( event.which == null && rkeyEvent.test( event.type ) ) {
-			return event.charCode != null ? event.charCode : event.keyCode;
-		}
-
-		// Add which for click: 1 === left; 2 === middle; 3 === right
-		if ( !event.which && button !== undefined && rmouseEvent.test( event.type ) ) {
-			if ( button & 1 ) {
-				return 1;
-			}
-
-			if ( button & 2 ) {
-				return 3;
-			}
-
-			if ( button & 4 ) {
-				return 2;
-			}
-
-			return 0;
-		}
-
-		return event.which;
-	}
-}, 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;
-		},
-
-		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!
-		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";
-				tr.style.height = "1px";
-				trChild.style.height = "9px";
-
-				documentElement
-					.appendChild( table )
-					.appendChild( tr )
-					.appendChild( trChild );
-
-				trStyle = window.getComputedStyle( tr );
-				reliableTrDimensionsVal = parseInt( trStyle.height ) > 3;
-
-				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;
-	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 ) {
-		xml = undefined;
-	}
-
-	if ( !xml || xml.getElementsByTagName( "parsererror" ).length ) {
-		jQuery.error( "Invalid XML: " + 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
-			if ( !isSuccess && jQuery.inArray( "script", s.dataTypes ) > -1 ) {
-				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 {
-			if ( typeof props.top === "number" ) {
-				props.top += "px";
-			}
-			if ( typeof props.left === "number" ) {
-				props.left += "px";
-			}
-			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/_static/jquery.js b/_static/jquery.js
deleted file mode 100644
index b061403..0000000
--- a/_static/jquery.js
+++ /dev/null
@@ -1,2 +0,0 @@
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diff --git a/_static/language_data.js b/_static/language_data.js
index ebe2f03..367b8ed 100644
--- a/_static/language_data.js
+++ b/_static/language_data.js
@@ -5,15 +5,15 @@
  * 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.
+ * :copyright: Copyright 2007-2024 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"];
+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 */
+/* Non-minified version is copied as a separate JS file, if available */
 
 /**
  * Porter Stemmer
@@ -197,101 +197,3 @@ var Stemmer = function() {
   }
 }
 
-
-
-
-var splitChars = (function() {
-    var result = {};
-    var singles = [96, 180, 187, 191, 215, 247, 749, 885, 903, 907, 909, 930, 1014, 1648,
-         1748, 1809, 2416, 2473, 2481, 2526, 2601, 2609, 2612, 2615, 2653, 2702,
-         2706, 2729, 2737, 2740, 2857, 2865, 2868, 2910, 2928, 2948, 2961, 2971,
-         2973, 3085, 3089, 3113, 3124, 3213, 3217, 3241, 3252, 3295, 3341, 3345,
-         3369, 3506, 3516, 3633, 3715, 3721, 3736, 3744, 3748, 3750, 3756, 3761,
-         3781, 3912, 4239, 4347, 4681, 4695, 4697, 4745, 4785, 4799, 4801, 4823,
-         4881, 5760, 5901, 5997, 6313, 7405, 8024, 8026, 8028, 8030, 8117, 8125,
-         8133, 8181, 8468, 8485, 8487, 8489, 8494, 8527, 11311, 11359, 11687, 11695,
-         11703, 11711, 11719, 11727, 11735, 12448, 12539, 43010, 43014, 43019, 43587,
-         43696, 43713, 64286, 64297, 64311, 64317, 64319, 64322, 64325, 65141];
-    var i, j, start, end;
-    for (i = 0; i < singles.length; i++) {
-        result[singles[i]] = true;
-    }
-    var ranges = [[0, 47], [58, 64], [91, 94], [123, 169], [171, 177], [182, 184], [706, 709],
-         [722, 735], [741, 747], [751, 879], [888, 889], [894, 901], [1154, 1161],
-         [1318, 1328], [1367, 1368], [1370, 1376], [1416, 1487], [1515, 1519], [1523, 1568],
-         [1611, 1631], [1642, 1645], [1750, 1764], [1767, 1773], [1789, 1790], [1792, 1807],
-         [1840, 1868], [1958, 1968], [1970, 1983], [2027, 2035], [2038, 2041], [2043, 2047],
-         [2070, 2073], [2075, 2083], [2085, 2087], [2089, 2307], [2362, 2364], [2366, 2383],
-         [2385, 2391], [2402, 2405], [2419, 2424], [2432, 2436], [2445, 2446], [2449, 2450],
-         [2483, 2485], [2490, 2492], [2494, 2509], [2511, 2523], [2530, 2533], [2546, 2547],
-         [2554, 2564], [2571, 2574], [2577, 2578], [2618, 2648], [2655, 2661], [2672, 2673],
-         [2677, 2692], [2746, 2748], [2750, 2767], [2769, 2783], [2786, 2789], [2800, 2820],
-         [2829, 2830], [2833, 2834], [2874, 2876], [2878, 2907], [2914, 2917], [2930, 2946],
-         [2955, 2957], [2966, 2968], [2976, 2978], [2981, 2983], [2987, 2989], [3002, 3023],
-         [3025, 3045], [3059, 3076], [3130, 3132], [3134, 3159], [3162, 3167], [3170, 3173],
-         [3184, 3191], [3199, 3204], [3258, 3260], [3262, 3293], [3298, 3301], [3312, 3332],
-         [3386, 3388], [3390, 3423], [3426, 3429], [3446, 3449], [3456, 3460], [3479, 3481],
-         [3518, 3519], [3527, 3584], [3636, 3647], [3655, 3663], [3674, 3712], [3717, 3718],
-         [3723, 3724], [3726, 3731], [3752, 3753], [3764, 3772], [3774, 3775], [3783, 3791],
-         [3802, 3803], [3806, 3839], [3841, 3871], [3892, 3903], [3949, 3975], [3980, 4095],
-         [4139, 4158], [4170, 4175], [4182, 4185], [4190, 4192], [4194, 4196], [4199, 4205],
-         [4209, 4212], [4226, 4237], [4250, 4255], [4294, 4303], [4349, 4351], [4686, 4687],
-         [4702, 4703], [4750, 4751], [4790, 4791], [4806, 4807], [4886, 4887], [4955, 4968],
-         [4989, 4991], [5008, 5023], [5109, 5120], [5741, 5742], [5787, 5791], [5867, 5869],
-         [5873, 5887], [5906, 5919], [5938, 5951], [5970, 5983], [6001, 6015], [6068, 6102],
-         [6104, 6107], [6109, 6111], [6122, 6127], [6138, 6159], [6170, 6175], [6264, 6271],
-         [6315, 6319], [6390, 6399], [6429, 6469], [6510, 6511], [6517, 6527], [6572, 6592],
-         [6600, 6607], [6619, 6655], [6679, 6687], [6741, 6783], [6794, 6799], [6810, 6822],
-         [6824, 6916], [6964, 6980], [6988, 6991], [7002, 7042], [7073, 7085], [7098, 7167],
-         [7204, 7231], [7242, 7244], [7294, 7400], [7410, 7423], [7616, 7679], [7958, 7959],
-         [7966, 7967], [8006, 8007], [8014, 8015], [8062, 8063], [8127, 8129], [8141, 8143],
-         [8148, 8149], [8156, 8159], [8173, 8177], [8189, 8303], [8306, 8307], [8314, 8318],
-         [8330, 8335], [8341, 8449], [8451, 8454], [8456, 8457], [8470, 8472], [8478, 8483],
-         [8506, 8507], [8512, 8516], [8522, 8525], [8586, 9311], [9372, 9449], [9472, 10101],
-         [10132, 11263], [11493, 11498], [11503, 11516], [11518, 11519], [11558, 11567],
-         [11622, 11630], [11632, 11647], [11671, 11679], [11743, 11822], [11824, 12292],
-         [12296, 12320], [12330, 12336], [12342, 12343], [12349, 12352], [12439, 12444],
-         [12544, 12548], [12590, 12592], [12687, 12689], [12694, 12703], [12728, 12783],
-         [12800, 12831], [12842, 12880], [12896, 12927], [12938, 12976], [12992, 13311],
-         [19894, 19967], [40908, 40959], [42125, 42191], [42238, 42239], [42509, 42511],
-         [42540, 42559], [42592, 42593], [42607, 42622], [42648, 42655], [42736, 42774],
-         [42784, 42785], [42889, 42890], [42893, 43002], [43043, 43055], [43062, 43071],
-         [43124, 43137], [43188, 43215], [43226, 43249], [43256, 43258], [43260, 43263],
-         [43302, 43311], [43335, 43359], [43389, 43395], [43443, 43470], [43482, 43519],
-         [43561, 43583], [43596, 43599], [43610, 43615], [43639, 43641], [43643, 43647],
-         [43698, 43700], [43703, 43704], [43710, 43711], [43715, 43738], [43742, 43967],
-         [44003, 44015], [44026, 44031], [55204, 55215], [55239, 55242], [55292, 55295],
-         [57344, 63743], [64046, 64047], [64110, 64111], [64218, 64255], [64263, 64274],
-         [64280, 64284], [64434, 64466], [64830, 64847], [64912, 64913], [64968, 65007],
-         [65020, 65135], [65277, 65295], [65306, 65312], [65339, 65344], [65371, 65381],
-         [65471, 65473], [65480, 65481], [65488, 65489], [65496, 65497]];
-    for (i = 0; i < ranges.length; i++) {
-        start = ranges[i][0];
-        end = ranges[i][1];
-        for (j = start; j <= end; j++) {
-            result[j] = true;
-        }
-    }
-    return result;
-})();
-
-function splitQuery(query) {
-    var result = [];
-    var start = -1;
-    for (var i = 0; i < query.length; i++) {
-        if (splitChars[query.charCodeAt(i)]) {
-            if (start !== -1) {
-                result.push(query.slice(start, i));
-                start = -1;
-            }
-        } else if (start === -1) {
-            start = i;
-        }
-    }
-    if (start !== -1) {
-        result.push(query.slice(start));
-    }
-    return result;
-}
-
-
diff --git a/_static/locales/ar/LC_MESSAGES/booktheme.po b/_static/locales/ar/LC_MESSAGES/booktheme.po
index 2e8d682..34d404c 100644
--- a/_static/locales/ar/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ar/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: ar\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "أقترح تحرير"
-
-msgid "Last updated on"
-msgstr "آخر تحديث في"
-
-msgid "Edit this page"
-msgstr "قم بتحرير هذه الصفحة"
-
-msgid "Launch"
-msgstr "إطلاق"
-
 msgid "Print to PDF"
 msgstr "طباعة إلى PDF"
 
+msgid "Theme by the"
+msgstr "موضوع بواسطة"
+
+msgid "Download source file"
+msgstr "تنزيل ملف المصدر"
+
 msgid "open issue"
 msgstr "قضية مفتوحة"
 
+msgid "Contents"
+msgstr "محتويات"
+
+msgid "previous page"
+msgstr "الصفحة السابقة"
+
 msgid "Download notebook file"
 msgstr "تنزيل ملف دفتر الملاحظات"
 
-msgid "Toggle navigation"
-msgstr "تبديل التنقل"
+msgid "Copyright"
+msgstr "حقوق النشر"
+
+msgid "Download this page"
+msgstr "قم بتنزيل هذه الصفحة"
 
 msgid "Source repository"
 msgstr "مستودع المصدر"
 
-msgid "By the"
+msgid "By"
 msgstr "بواسطة"
 
-msgid "next page"
-msgstr "الصفحة التالية"
-
 msgid "repository"
 msgstr "مخزن"
 
+msgid "Last updated on"
+msgstr "آخر تحديث في"
+
+msgid "Toggle navigation"
+msgstr "تبديل التنقل"
+
 msgid "Sphinx Book Theme"
 msgstr "موضوع كتاب أبو الهول"
 
-msgid "Download source file"
-msgstr "تنزيل ملف المصدر"
-
-msgid "Contents"
-msgstr "محتويات"
+msgid "suggest edit"
+msgstr "أقترح تحرير"
 
-msgid "By"
-msgstr "بواسطة"
+msgid "Open an issue"
+msgstr "افتح قضية"
 
-msgid "Copyright"
-msgstr "حقوق النشر"
+msgid "Launch"
+msgstr "إطلاق"
 
 msgid "Fullscreen mode"
 msgstr "وضع ملء الشاشة"
 
-msgid "Open an issue"
-msgstr "افتح قضية"
-
-msgid "previous page"
-msgstr "الصفحة السابقة"
+msgid "Edit this page"
+msgstr "قم بتحرير هذه الصفحة"
 
-msgid "Download this page"
-msgstr "قم بتنزيل هذه الصفحة"
+msgid "By the"
+msgstr "بواسطة"
 
-msgid "Theme by the"
-msgstr "موضوع بواسطة"
+msgid "next page"
+msgstr "الصفحة التالية"
diff --git a/_static/locales/bg/LC_MESSAGES/booktheme.po b/_static/locales/bg/LC_MESSAGES/booktheme.po
index 56ef0eb..7420c19 100644
--- a/_static/locales/bg/LC_MESSAGES/booktheme.po
+++ b/_static/locales/bg/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: bg\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "предложи редактиране"
-
-msgid "Last updated on"
-msgstr "Последна актуализация на"
-
-msgid "Edit this page"
-msgstr "Редактирайте тази страница"
-
-msgid "Launch"
-msgstr "Стартиране"
-
 msgid "Print to PDF"
 msgstr "Печат в PDF"
 
+msgid "Theme by the"
+msgstr "Тема от"
+
+msgid "Download source file"
+msgstr "Изтеглете изходния файл"
+
 msgid "open issue"
 msgstr "отворен брой"
 
+msgid "Contents"
+msgstr "Съдържание"
+
+msgid "previous page"
+msgstr "предишна страница"
+
 msgid "Download notebook file"
 msgstr "Изтеглете файла на бележника"
 
-msgid "Toggle navigation"
-msgstr "Превключване на навигацията"
+msgid "Copyright"
+msgstr "Авторско право"
+
+msgid "Download this page"
+msgstr "Изтеглете тази страница"
 
 msgid "Source repository"
 msgstr "Хранилище на източника"
 
-msgid "By the"
-msgstr "По"
-
-msgid "next page"
-msgstr "Следваща страница"
+msgid "By"
+msgstr "От"
 
 msgid "repository"
 msgstr "хранилище"
 
+msgid "Last updated on"
+msgstr "Последна актуализация на"
+
+msgid "Toggle navigation"
+msgstr "Превключване на навигацията"
+
 msgid "Sphinx Book Theme"
 msgstr "Тема на книгата Sphinx"
 
-msgid "Download source file"
-msgstr "Изтеглете изходния файл"
-
-msgid "Contents"
-msgstr "Съдържание"
+msgid "suggest edit"
+msgstr "предложи редактиране"
 
-msgid "By"
-msgstr "От"
+msgid "Open an issue"
+msgstr "Отворете проблем"
 
-msgid "Copyright"
-msgstr "Авторско право"
+msgid "Launch"
+msgstr "Стартиране"
 
 msgid "Fullscreen mode"
 msgstr "Режим на цял екран"
 
-msgid "Open an issue"
-msgstr "Отворете проблем"
-
-msgid "previous page"
-msgstr "предишна страница"
+msgid "Edit this page"
+msgstr "Редактирайте тази страница"
 
-msgid "Download this page"
-msgstr "Изтеглете тази страница"
+msgid "By the"
+msgstr "По"
 
-msgid "Theme by the"
-msgstr "Тема от"
+msgid "next page"
+msgstr "Следваща страница"
diff --git a/_static/locales/bn/LC_MESSAGES/booktheme.po b/_static/locales/bn/LC_MESSAGES/booktheme.po
index 243ca31..63a07c3 100644
--- a/_static/locales/bn/LC_MESSAGES/booktheme.po
+++ b/_static/locales/bn/LC_MESSAGES/booktheme.po
@@ -8,56 +8,56 @@ msgstr ""
 "Language: bn\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "Last updated on"
-msgstr "সর্বশেষ আপডেট"
-
-msgid "Edit this page"
-msgstr "এই পৃষ্ঠাটি সম্পাদনা করুন"
-
-msgid "Launch"
-msgstr "শুরু করা"
-
 msgid "Print to PDF"
 msgstr "পিডিএফ প্রিন্ট করুন"
 
+msgid "Theme by the"
+msgstr "থিম দ্বারা"
+
+msgid "Download source file"
+msgstr "উত্স ফাইল ডাউনলোড করুন"
+
 msgid "open issue"
 msgstr "খোলা সমস্যা"
 
+msgid "previous page"
+msgstr "আগের পৃষ্ঠা"
+
 msgid "Download notebook file"
 msgstr "নোটবুক ফাইল ডাউনলোড করুন"
 
-msgid "Toggle navigation"
-msgstr "নেভিগেশন টগল করুন"
+msgid "Copyright"
+msgstr "কপিরাইট"
+
+msgid "Download this page"
+msgstr "এই পৃষ্ঠাটি ডাউনলোড করুন"
 
 msgid "Source repository"
 msgstr "উত্স সংগ্রহস্থল"
 
-msgid "By the"
+msgid "By"
 msgstr "দ্বারা"
 
-msgid "next page"
-msgstr "পরবর্তী পৃষ্ঠা"
+msgid "Last updated on"
+msgstr "সর্বশেষ আপডেট"
+
+msgid "Toggle navigation"
+msgstr "নেভিগেশন টগল করুন"
 
 msgid "Sphinx Book Theme"
 msgstr "স্পিনিক্স বুক থিম"
 
-msgid "Download source file"
-msgstr "উত্স ফাইল ডাউনলোড করুন"
-
-msgid "By"
-msgstr "দ্বারা"
-
-msgid "Copyright"
-msgstr "কপিরাইট"
-
 msgid "Open an issue"
 msgstr "একটি সমস্যা খুলুন"
 
-msgid "previous page"
-msgstr "আগের পৃষ্ঠা"
+msgid "Launch"
+msgstr "শুরু করা"
 
-msgid "Download this page"
-msgstr "এই পৃষ্ঠাটি ডাউনলোড করুন"
+msgid "Edit this page"
+msgstr "এই পৃষ্ঠাটি সম্পাদনা করুন"
 
-msgid "Theme by the"
-msgstr "থিম দ্বারা"
+msgid "By the"
+msgstr "দ্বারা"
+
+msgid "next page"
+msgstr "পরবর্তী পৃষ্ঠা"
diff --git a/_static/locales/ca/LC_MESSAGES/booktheme.po b/_static/locales/ca/LC_MESSAGES/booktheme.po
index b27a13d..8fb358b 100644
--- a/_static/locales/ca/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ca/LC_MESSAGES/booktheme.po
@@ -8,59 +8,59 @@ msgstr ""
 "Language: ca\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "suggerir edició"
-
-msgid "Last updated on"
-msgstr "Darrera actualització el"
-
-msgid "Edit this page"
-msgstr "Editeu aquesta pàgina"
-
-msgid "Launch"
-msgstr "Llançament"
-
 msgid "Print to PDF"
 msgstr "Imprimeix a PDF"
 
+msgid "Theme by the"
+msgstr "Tema del"
+
+msgid "Download source file"
+msgstr "Baixeu el fitxer font"
+
 msgid "open issue"
 msgstr "número obert"
 
+msgid "previous page"
+msgstr "Pàgina anterior"
+
 msgid "Download notebook file"
 msgstr "Descarregar fitxer de quadern"
 
-msgid "Toggle navigation"
-msgstr "Commuta la navegació"
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Download this page"
+msgstr "Descarregueu aquesta pàgina"
 
 msgid "Source repository"
 msgstr "Dipòsit de fonts"
 
-msgid "By the"
-msgstr "Per la"
+msgid "By"
+msgstr "Per"
 
-msgid "next page"
-msgstr "pàgina següent"
+msgid "Last updated on"
+msgstr "Darrera actualització el"
+
+msgid "Toggle navigation"
+msgstr "Commuta la navegació"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema del llibre Esfinx"
 
-msgid "Download source file"
-msgstr "Baixeu el fitxer font"
-
-msgid "By"
-msgstr "Per"
-
-msgid "Copyright"
-msgstr "Copyright"
+msgid "suggest edit"
+msgstr "suggerir edició"
 
 msgid "Open an issue"
 msgstr "Obriu un número"
 
-msgid "previous page"
-msgstr "Pàgina anterior"
+msgid "Launch"
+msgstr "Llançament"
 
-msgid "Download this page"
-msgstr "Descarregueu aquesta pàgina"
+msgid "Edit this page"
+msgstr "Editeu aquesta pàgina"
 
-msgid "Theme by the"
-msgstr "Tema del"
+msgid "By the"
+msgstr "Per la"
+
+msgid "next page"
+msgstr "pàgina següent"
diff --git a/_static/locales/cs/LC_MESSAGES/booktheme.po b/_static/locales/cs/LC_MESSAGES/booktheme.po
index 3818df9..c6ef469 100644
--- a/_static/locales/cs/LC_MESSAGES/booktheme.po
+++ b/_static/locales/cs/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: cs\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "navrhnout úpravy"
-
-msgid "Last updated on"
-msgstr "Naposledy aktualizováno"
-
-msgid "Edit this page"
-msgstr "Upravit tuto stránku"
-
-msgid "Launch"
-msgstr "Zahájení"
-
 msgid "Print to PDF"
 msgstr "Tisk do PDF"
 
+msgid "Theme by the"
+msgstr "Téma od"
+
+msgid "Download source file"
+msgstr "Stáhněte si zdrojový soubor"
+
 msgid "open issue"
 msgstr "otevřené číslo"
 
+msgid "Contents"
+msgstr "Obsah"
+
+msgid "previous page"
+msgstr "předchozí stránka"
+
 msgid "Download notebook file"
 msgstr "Stáhnout soubor poznámkového bloku"
 
-msgid "Toggle navigation"
-msgstr "Přepnout navigaci"
+msgid "Copyright"
+msgstr "autorská práva"
+
+msgid "Download this page"
+msgstr "Stáhněte si tuto stránku"
 
 msgid "Source repository"
 msgstr "Zdrojové úložiště"
 
-msgid "By the"
+msgid "By"
 msgstr "Podle"
 
-msgid "next page"
-msgstr "další strana"
-
 msgid "repository"
 msgstr "úložiště"
 
+msgid "Last updated on"
+msgstr "Naposledy aktualizováno"
+
+msgid "Toggle navigation"
+msgstr "Přepnout navigaci"
+
 msgid "Sphinx Book Theme"
 msgstr "Téma knihy Sfinga"
 
-msgid "Download source file"
-msgstr "Stáhněte si zdrojový soubor"
-
-msgid "Contents"
-msgstr "Obsah"
+msgid "suggest edit"
+msgstr "navrhnout úpravy"
 
-msgid "By"
-msgstr "Podle"
+msgid "Open an issue"
+msgstr "Otevřete problém"
 
-msgid "Copyright"
-msgstr "autorská práva"
+msgid "Launch"
+msgstr "Zahájení"
 
 msgid "Fullscreen mode"
 msgstr "Režim celé obrazovky"
 
-msgid "Open an issue"
-msgstr "Otevřete problém"
-
-msgid "previous page"
-msgstr "předchozí stránka"
+msgid "Edit this page"
+msgstr "Upravit tuto stránku"
 
-msgid "Download this page"
-msgstr "Stáhněte si tuto stránku"
+msgid "By the"
+msgstr "Podle"
 
-msgid "Theme by the"
-msgstr "Téma od"
+msgid "next page"
+msgstr "další strana"
diff --git a/_static/locales/da/LC_MESSAGES/booktheme.po b/_static/locales/da/LC_MESSAGES/booktheme.po
index 7f20a3b..306a38e 100644
--- a/_static/locales/da/LC_MESSAGES/booktheme.po
+++ b/_static/locales/da/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: da\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "foreslå redigering"
-
-msgid "Last updated on"
-msgstr "Sidst opdateret den"
-
-msgid "Edit this page"
-msgstr "Rediger denne side"
-
-msgid "Launch"
-msgstr "Start"
-
 msgid "Print to PDF"
 msgstr "Udskriv til PDF"
 
+msgid "Theme by the"
+msgstr "Tema af"
+
+msgid "Download source file"
+msgstr "Download kildefil"
+
 msgid "open issue"
 msgstr "åbent nummer"
 
+msgid "Contents"
+msgstr "Indhold"
+
+msgid "previous page"
+msgstr "forrige side"
+
 msgid "Download notebook file"
 msgstr "Download notesbog-fil"
 
-msgid "Toggle navigation"
-msgstr "Skift navigation"
+msgid "Copyright"
+msgstr "ophavsret"
+
+msgid "Download this page"
+msgstr "Download denne side"
 
 msgid "Source repository"
 msgstr "Kildelager"
 
-msgid "By the"
+msgid "By"
 msgstr "Ved"
 
-msgid "next page"
-msgstr "Næste side"
-
 msgid "repository"
 msgstr "lager"
 
+msgid "Last updated on"
+msgstr "Sidst opdateret den"
+
+msgid "Toggle navigation"
+msgstr "Skift navigation"
+
 msgid "Sphinx Book Theme"
 msgstr "Sphinx bogtema"
 
-msgid "Download source file"
-msgstr "Download kildefil"
-
-msgid "Contents"
-msgstr "Indhold"
+msgid "suggest edit"
+msgstr "foreslå redigering"
 
-msgid "By"
-msgstr "Ved"
+msgid "Open an issue"
+msgstr "Åbn et problem"
 
-msgid "Copyright"
-msgstr "ophavsret"
+msgid "Launch"
+msgstr "Start"
 
 msgid "Fullscreen mode"
 msgstr "Fuldskærmstilstand"
 
-msgid "Open an issue"
-msgstr "Åbn et problem"
-
-msgid "previous page"
-msgstr "forrige side"
+msgid "Edit this page"
+msgstr "Rediger denne side"
 
-msgid "Download this page"
-msgstr "Download denne side"
+msgid "By the"
+msgstr "Ved"
 
-msgid "Theme by the"
-msgstr "Tema af"
+msgid "next page"
+msgstr "Næste side"
diff --git a/_static/locales/de/LC_MESSAGES/booktheme.po b/_static/locales/de/LC_MESSAGES/booktheme.po
index c0027d3..4925360 100644
--- a/_static/locales/de/LC_MESSAGES/booktheme.po
+++ b/_static/locales/de/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: de\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "vorschlagen zu bearbeiten"
-
-msgid "Last updated on"
-msgstr "Zuletzt aktualisiert am"
-
-msgid "Edit this page"
-msgstr "Bearbeite diese Seite"
-
-msgid "Launch"
-msgstr "Starten"
-
 msgid "Print to PDF"
 msgstr "In PDF drucken"
 
+msgid "Theme by the"
+msgstr "Thema von der"
+
+msgid "Download source file"
+msgstr "Quelldatei herunterladen"
+
 msgid "open issue"
 msgstr "offenes Thema"
 
+msgid "Contents"
+msgstr "Inhalt"
+
+msgid "previous page"
+msgstr "vorherige Seite"
+
 msgid "Download notebook file"
 msgstr "Notebook-Datei herunterladen"
 
-msgid "Toggle navigation"
-msgstr "Navigation umschalten"
+msgid "Copyright"
+msgstr "Urheberrechte ©"
+
+msgid "Download this page"
+msgstr "Laden Sie diese Seite herunter"
 
 msgid "Source repository"
 msgstr "Quell-Repository"
 
-msgid "By the"
-msgstr "Bis zum"
-
-msgid "next page"
-msgstr "Nächste Seite"
+msgid "By"
+msgstr "Durch"
 
 msgid "repository"
 msgstr "Repository"
 
+msgid "Last updated on"
+msgstr "Zuletzt aktualisiert am"
+
+msgid "Toggle navigation"
+msgstr "Navigation umschalten"
+
 msgid "Sphinx Book Theme"
 msgstr "Sphinx-Buch-Thema"
 
-msgid "Download source file"
-msgstr "Quelldatei herunterladen"
-
-msgid "Contents"
-msgstr "Inhalt"
+msgid "suggest edit"
+msgstr "vorschlagen zu bearbeiten"
 
-msgid "By"
-msgstr "Durch"
+msgid "Open an issue"
+msgstr "Öffnen Sie ein Problem"
 
-msgid "Copyright"
-msgstr "Urheberrechte ©"
+msgid "Launch"
+msgstr "Starten"
 
 msgid "Fullscreen mode"
 msgstr "Vollbildmodus"
 
-msgid "Open an issue"
-msgstr "Öffnen Sie ein Problem"
-
-msgid "previous page"
-msgstr "vorherige Seite"
+msgid "Edit this page"
+msgstr "Bearbeite diese Seite"
 
-msgid "Download this page"
-msgstr "Laden Sie diese Seite herunter"
+msgid "By the"
+msgstr "Bis zum"
 
-msgid "Theme by the"
-msgstr "Thema von der"
+msgid "next page"
+msgstr "Nächste Seite"
diff --git a/_static/locales/el/LC_MESSAGES/booktheme.po b/_static/locales/el/LC_MESSAGES/booktheme.po
index bdeb327..3e01acb 100644
--- a/_static/locales/el/LC_MESSAGES/booktheme.po
+++ b/_static/locales/el/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: el\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "προτείνω επεξεργασία"
-
-msgid "Last updated on"
-msgstr "Τελευταία ενημέρωση στις"
-
-msgid "Edit this page"
-msgstr "Επεξεργαστείτε αυτήν τη σελίδα"
-
-msgid "Launch"
-msgstr "Εκτόξευση"
-
 msgid "Print to PDF"
 msgstr "Εκτύπωση σε PDF"
 
+msgid "Theme by the"
+msgstr "Θέμα από το"
+
+msgid "Download source file"
+msgstr "Λήψη αρχείου προέλευσης"
+
 msgid "open issue"
 msgstr "ανοιχτό ζήτημα"
 
+msgid "Contents"
+msgstr "Περιεχόμενα"
+
+msgid "previous page"
+msgstr "προηγούμενη σελίδα"
+
 msgid "Download notebook file"
 msgstr "Λήψη αρχείου σημειωματάριου"
 
-msgid "Toggle navigation"
-msgstr "Εναλλαγή πλοήγησης"
+msgid "Copyright"
+msgstr "Πνευματική ιδιοκτησία"
+
+msgid "Download this page"
+msgstr "Λήψη αυτής της σελίδας"
 
 msgid "Source repository"
 msgstr "Αποθήκη πηγής"
 
-msgid "By the"
-msgstr "Από το"
-
-msgid "next page"
-msgstr "επόμενη σελίδα"
+msgid "By"
+msgstr "Με"
 
 msgid "repository"
 msgstr "αποθήκη"
 
+msgid "Last updated on"
+msgstr "Τελευταία ενημέρωση στις"
+
+msgid "Toggle navigation"
+msgstr "Εναλλαγή πλοήγησης"
+
 msgid "Sphinx Book Theme"
 msgstr "Θέμα βιβλίου Sphinx"
 
-msgid "Download source file"
-msgstr "Λήψη αρχείου προέλευσης"
-
-msgid "Contents"
-msgstr "Περιεχόμενα"
+msgid "suggest edit"
+msgstr "προτείνω επεξεργασία"
 
-msgid "By"
-msgstr "Με"
+msgid "Open an issue"
+msgstr "Ανοίξτε ένα ζήτημα"
 
-msgid "Copyright"
-msgstr "Πνευματική ιδιοκτησία"
+msgid "Launch"
+msgstr "Εκτόξευση"
 
 msgid "Fullscreen mode"
 msgstr "ΛΕΙΤΟΥΡΓΙΑ ΠΛΗΡΟΥΣ ΟΘΟΝΗΣ"
 
-msgid "Open an issue"
-msgstr "Ανοίξτε ένα ζήτημα"
-
-msgid "previous page"
-msgstr "προηγούμενη σελίδα"
+msgid "Edit this page"
+msgstr "Επεξεργαστείτε αυτήν τη σελίδα"
 
-msgid "Download this page"
-msgstr "Λήψη αυτής της σελίδας"
+msgid "By the"
+msgstr "Από το"
 
-msgid "Theme by the"
-msgstr "Θέμα από το"
+msgid "next page"
+msgstr "επόμενη σελίδα"
diff --git a/_static/locales/eo/LC_MESSAGES/booktheme.po b/_static/locales/eo/LC_MESSAGES/booktheme.po
index 6749f3a..f7ed226 100644
--- a/_static/locales/eo/LC_MESSAGES/booktheme.po
+++ b/_static/locales/eo/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: eo\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "sugesti redaktadon"
-
-msgid "Last updated on"
-msgstr "Laste ĝisdatigita la"
-
-msgid "Edit this page"
-msgstr "Redaktu ĉi tiun paĝon"
-
-msgid "Launch"
-msgstr "Lanĉo"
-
 msgid "Print to PDF"
 msgstr "Presi al PDF"
 
+msgid "Theme by the"
+msgstr "Temo de la"
+
+msgid "Download source file"
+msgstr "Elŝutu fontodosieron"
+
 msgid "open issue"
 msgstr "malferma numero"
 
+msgid "Contents"
+msgstr "Enhavo"
+
+msgid "previous page"
+msgstr "antaŭa paĝo"
+
 msgid "Download notebook file"
 msgstr "Elŝutu kajeran dosieron"
 
-msgid "Toggle navigation"
-msgstr "Ŝalti navigadon"
+msgid "Copyright"
+msgstr "Kopirajto"
+
+msgid "Download this page"
+msgstr "Elŝutu ĉi tiun paĝon"
 
 msgid "Source repository"
 msgstr "Fonto-deponejo"
 
-msgid "By the"
-msgstr "Per la"
-
-msgid "next page"
-msgstr "sekva paĝo"
+msgid "By"
+msgstr "De"
 
 msgid "repository"
 msgstr "deponejo"
 
+msgid "Last updated on"
+msgstr "Laste ĝisdatigita la"
+
+msgid "Toggle navigation"
+msgstr "Ŝalti navigadon"
+
 msgid "Sphinx Book Theme"
 msgstr "Sfinksa Libro-Temo"
 
-msgid "Download source file"
-msgstr "Elŝutu fontodosieron"
-
-msgid "Contents"
-msgstr "Enhavo"
+msgid "suggest edit"
+msgstr "sugesti redaktadon"
 
-msgid "By"
-msgstr "De"
+msgid "Open an issue"
+msgstr "Malfermu numeron"
 
-msgid "Copyright"
-msgstr "Kopirajto"
+msgid "Launch"
+msgstr "Lanĉo"
 
 msgid "Fullscreen mode"
 msgstr "Plenekrana reĝimo"
 
-msgid "Open an issue"
-msgstr "Malfermu numeron"
-
-msgid "previous page"
-msgstr "antaŭa paĝo"
+msgid "Edit this page"
+msgstr "Redaktu ĉi tiun paĝon"
 
-msgid "Download this page"
-msgstr "Elŝutu ĉi tiun paĝon"
+msgid "By the"
+msgstr "Per la"
 
-msgid "Theme by the"
-msgstr "Temo de la"
+msgid "next page"
+msgstr "sekva paĝo"
diff --git a/_static/locales/es/LC_MESSAGES/booktheme.po b/_static/locales/es/LC_MESSAGES/booktheme.po
index 71dde37..5e0029e 100644
--- a/_static/locales/es/LC_MESSAGES/booktheme.po
+++ b/_static/locales/es/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: es\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "sugerir editar"
-
-msgid "Last updated on"
-msgstr "Ultima actualización en"
-
-msgid "Edit this page"
-msgstr "Edita esta página"
-
-msgid "Launch"
-msgstr "Lanzamiento"
-
 msgid "Print to PDF"
 msgstr "Imprimir en PDF"
 
+msgid "Theme by the"
+msgstr "Tema por el"
+
+msgid "Download source file"
+msgstr "Descargar archivo fuente"
+
 msgid "open issue"
 msgstr "Tema abierto"
 
+msgid "Contents"
+msgstr "Contenido"
+
+msgid "previous page"
+msgstr "pagina anterior"
+
 msgid "Download notebook file"
 msgstr "Descargar archivo de cuaderno"
 
-msgid "Toggle navigation"
-msgstr "Navegación de palanca"
+msgid "Copyright"
+msgstr "Derechos de autor"
+
+msgid "Download this page"
+msgstr "Descarga esta pagina"
 
 msgid "Source repository"
 msgstr "Repositorio de origen"
 
-msgid "By the"
-msgstr "Por el"
-
-msgid "next page"
-msgstr "siguiente página"
+msgid "By"
+msgstr "Por"
 
 msgid "repository"
 msgstr "repositorio"
 
+msgid "Last updated on"
+msgstr "Ultima actualización en"
+
+msgid "Toggle navigation"
+msgstr "Navegación de palanca"
+
 msgid "Sphinx Book Theme"
 msgstr "Tema del libro de la esfinge"
 
-msgid "Download source file"
-msgstr "Descargar archivo fuente"
-
-msgid "Contents"
-msgstr "Contenido"
+msgid "suggest edit"
+msgstr "sugerir editar"
 
-msgid "By"
-msgstr "Por"
+msgid "Open an issue"
+msgstr "Abrir un problema"
 
-msgid "Copyright"
-msgstr "Derechos de autor"
+msgid "Launch"
+msgstr "Lanzamiento"
 
 msgid "Fullscreen mode"
 msgstr "Modo de pantalla completa"
 
-msgid "Open an issue"
-msgstr "Abrir un problema"
-
-msgid "previous page"
-msgstr "pagina anterior"
+msgid "Edit this page"
+msgstr "Edita esta página"
 
-msgid "Download this page"
-msgstr "Descarga esta pagina"
+msgid "By the"
+msgstr "Por el"
 
-msgid "Theme by the"
-msgstr "Tema por el"
+msgid "next page"
+msgstr "siguiente página"
diff --git a/_static/locales/et/LC_MESSAGES/booktheme.po b/_static/locales/et/LC_MESSAGES/booktheme.po
index cdcd07c..8680982 100644
--- a/_static/locales/et/LC_MESSAGES/booktheme.po
+++ b/_static/locales/et/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: et\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "soovita muuta"
-
-msgid "Last updated on"
-msgstr "Viimati uuendatud"
-
-msgid "Edit this page"
-msgstr "Muutke seda lehte"
-
-msgid "Launch"
-msgstr "Käivitage"
-
 msgid "Print to PDF"
 msgstr "Prindi PDF-i"
 
+msgid "Theme by the"
+msgstr "Teema"
+
+msgid "Download source file"
+msgstr "Laadige alla lähtefail"
+
 msgid "open issue"
 msgstr "avatud küsimus"
 
+msgid "Contents"
+msgstr "Sisu"
+
+msgid "previous page"
+msgstr "eelmine leht"
+
 msgid "Download notebook file"
 msgstr "Laadige sülearvuti fail alla"
 
-msgid "Toggle navigation"
-msgstr "Lülita navigeerimine sisse"
+msgid "Copyright"
+msgstr "Autoriõigus"
+
+msgid "Download this page"
+msgstr "Laadige see leht alla"
 
 msgid "Source repository"
 msgstr "Allikahoidla"
 
-msgid "By the"
-msgstr "Autor"
-
-msgid "next page"
-msgstr "järgmine leht"
+msgid "By"
+msgstr "Kõrval"
 
 msgid "repository"
 msgstr "hoidla"
 
+msgid "Last updated on"
+msgstr "Viimati uuendatud"
+
+msgid "Toggle navigation"
+msgstr "Lülita navigeerimine sisse"
+
 msgid "Sphinx Book Theme"
 msgstr "Sfinksiraamatu teema"
 
-msgid "Download source file"
-msgstr "Laadige alla lähtefail"
-
-msgid "Contents"
-msgstr "Sisu"
+msgid "suggest edit"
+msgstr "soovita muuta"
 
-msgid "By"
-msgstr "Kõrval"
+msgid "Open an issue"
+msgstr "Avage probleem"
 
-msgid "Copyright"
-msgstr "Autoriõigus"
+msgid "Launch"
+msgstr "Käivitage"
 
 msgid "Fullscreen mode"
 msgstr "Täisekraanirežiim"
 
-msgid "Open an issue"
-msgstr "Avage probleem"
-
-msgid "previous page"
-msgstr "eelmine leht"
+msgid "Edit this page"
+msgstr "Muutke seda lehte"
 
-msgid "Download this page"
-msgstr "Laadige see leht alla"
+msgid "By the"
+msgstr "Autor"
 
-msgid "Theme by the"
-msgstr "Teema"
+msgid "next page"
+msgstr "järgmine leht"
diff --git a/_static/locales/fi/LC_MESSAGES/booktheme.po b/_static/locales/fi/LC_MESSAGES/booktheme.po
index 3c3dd08..34dac21 100644
--- a/_static/locales/fi/LC_MESSAGES/booktheme.po
+++ b/_static/locales/fi/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: fi\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "ehdottaa muokkausta"
-
-msgid "Last updated on"
-msgstr "Viimeksi päivitetty"
-
-msgid "Edit this page"
-msgstr "Muokkaa tätä sivua"
-
-msgid "Launch"
-msgstr "Tuoda markkinoille"
-
 msgid "Print to PDF"
 msgstr "Tulosta PDF-tiedostoon"
 
+msgid "Theme by the"
+msgstr "Teeman tekijä"
+
+msgid "Download source file"
+msgstr "Lataa lähdetiedosto"
+
 msgid "open issue"
 msgstr "avoin ongelma"
 
+msgid "Contents"
+msgstr "Sisällys"
+
+msgid "previous page"
+msgstr "Edellinen sivu"
+
 msgid "Download notebook file"
 msgstr "Lataa muistikirjatiedosto"
 
-msgid "Toggle navigation"
-msgstr "Vaihda navigointia"
+msgid "Copyright"
+msgstr "Tekijänoikeus"
+
+msgid "Download this page"
+msgstr "Lataa tämä sivu"
 
 msgid "Source repository"
 msgstr "Lähteen arkisto"
 
-msgid "By the"
-msgstr "Mukaan"
-
-msgid "next page"
-msgstr "seuraava sivu"
+msgid "By"
+msgstr "Tekijä"
 
 msgid "repository"
 msgstr "arkisto"
 
+msgid "Last updated on"
+msgstr "Viimeksi päivitetty"
+
+msgid "Toggle navigation"
+msgstr "Vaihda navigointia"
+
 msgid "Sphinx Book Theme"
 msgstr "Sphinx-kirjan teema"
 
-msgid "Download source file"
-msgstr "Lataa lähdetiedosto"
-
-msgid "Contents"
-msgstr "Sisällys"
+msgid "suggest edit"
+msgstr "ehdottaa muokkausta"
 
-msgid "By"
-msgstr "Tekijä"
+msgid "Open an issue"
+msgstr "Avaa ongelma"
 
-msgid "Copyright"
-msgstr "Tekijänoikeus"
+msgid "Launch"
+msgstr "Tuoda markkinoille"
 
 msgid "Fullscreen mode"
 msgstr "Koko näytön tila"
 
-msgid "Open an issue"
-msgstr "Avaa ongelma"
-
-msgid "previous page"
-msgstr "Edellinen sivu"
+msgid "Edit this page"
+msgstr "Muokkaa tätä sivua"
 
-msgid "Download this page"
-msgstr "Lataa tämä sivu"
+msgid "By the"
+msgstr "Mukaan"
 
-msgid "Theme by the"
-msgstr "Teeman tekijä"
+msgid "next page"
+msgstr "seuraava sivu"
diff --git a/_static/locales/fr/LC_MESSAGES/booktheme.po b/_static/locales/fr/LC_MESSAGES/booktheme.po
index b57d2fe..8991a1b 100644
--- a/_static/locales/fr/LC_MESSAGES/booktheme.po
+++ b/_static/locales/fr/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: fr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "suggestion de modification"
-
-msgid "Last updated on"
-msgstr "Dernière mise à jour le"
-
-msgid "Edit this page"
-msgstr "Modifier cette page"
-
-msgid "Launch"
-msgstr "lancement"
-
 msgid "Print to PDF"
 msgstr "Imprimer au format PDF"
 
+msgid "Theme by the"
+msgstr "Thème par le"
+
+msgid "Download source file"
+msgstr "Télécharger le fichier source"
+
 msgid "open issue"
 msgstr "signaler un problème"
 
+msgid "Contents"
+msgstr "Contenu"
+
+msgid "previous page"
+msgstr "page précédente"
+
 msgid "Download notebook file"
 msgstr "Télécharger le fichier notebook"
 
-msgid "Toggle navigation"
-msgstr "Basculer la navigation"
+msgid "Copyright"
+msgstr "droits d'auteur"
+
+msgid "Download this page"
+msgstr "Téléchargez cette page"
 
 msgid "Source repository"
 msgstr "Dépôt source"
 
-msgid "By the"
-msgstr "Par le"
-
-msgid "next page"
-msgstr "page suivante"
+msgid "By"
+msgstr "Par"
 
 msgid "repository"
 msgstr "dépôt"
 
+msgid "Last updated on"
+msgstr "Dernière mise à jour le"
+
+msgid "Toggle navigation"
+msgstr "Basculer la navigation"
+
 msgid "Sphinx Book Theme"
 msgstr "Thème du livre Sphinx"
 
-msgid "Download source file"
-msgstr "Télécharger le fichier source"
-
-msgid "Contents"
-msgstr "Contenu"
+msgid "suggest edit"
+msgstr "suggestion de modification"
 
-msgid "By"
-msgstr "Par"
+msgid "Open an issue"
+msgstr "Ouvrez un problème"
 
-msgid "Copyright"
-msgstr "droits d'auteur"
+msgid "Launch"
+msgstr "lancement"
 
 msgid "Fullscreen mode"
 msgstr "Mode plein écran"
 
-msgid "Open an issue"
-msgstr "Ouvrez un problème"
-
-msgid "previous page"
-msgstr "page précédente"
+msgid "Edit this page"
+msgstr "Modifier cette page"
 
-msgid "Download this page"
-msgstr "Téléchargez cette page"
+msgid "By the"
+msgstr "Par le"
 
-msgid "Theme by the"
-msgstr "Thème par le"
+msgid "next page"
+msgstr "page suivante"
diff --git a/_static/locales/hr/LC_MESSAGES/booktheme.po b/_static/locales/hr/LC_MESSAGES/booktheme.po
index 4c425e8..42c4233 100644
--- a/_static/locales/hr/LC_MESSAGES/booktheme.po
+++ b/_static/locales/hr/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: hr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "predloži uređivanje"
-
-msgid "Last updated on"
-msgstr "Posljednje ažuriranje:"
-
-msgid "Edit this page"
-msgstr "Uredite ovu stranicu"
-
-msgid "Launch"
-msgstr "Pokrenite"
-
 msgid "Print to PDF"
 msgstr "Ispis u PDF"
 
+msgid "Theme by the"
+msgstr "Tema autora"
+
+msgid "Download source file"
+msgstr "Preuzmi izvornu datoteku"
+
 msgid "open issue"
 msgstr "otvoreno izdanje"
 
+msgid "Contents"
+msgstr "Sadržaj"
+
+msgid "previous page"
+msgstr "Prethodna stranica"
+
 msgid "Download notebook file"
 msgstr "Preuzmi datoteku bilježnice"
 
-msgid "Toggle navigation"
-msgstr "Uključi / isključi navigaciju"
+msgid "Copyright"
+msgstr "Autorska prava"
+
+msgid "Download this page"
+msgstr "Preuzmite ovu stranicu"
 
 msgid "Source repository"
 msgstr "Izvorno spremište"
 
-msgid "By the"
-msgstr "Od strane"
-
-msgid "next page"
-msgstr "sljedeća stranica"
+msgid "By"
+msgstr "Po"
 
 msgid "repository"
 msgstr "spremište"
 
+msgid "Last updated on"
+msgstr "Posljednje ažuriranje:"
+
+msgid "Toggle navigation"
+msgstr "Uključi / isključi navigaciju"
+
 msgid "Sphinx Book Theme"
 msgstr "Tema knjige Sphinx"
 
-msgid "Download source file"
-msgstr "Preuzmi izvornu datoteku"
-
-msgid "Contents"
-msgstr "Sadržaj"
+msgid "suggest edit"
+msgstr "predloži uređivanje"
 
-msgid "By"
-msgstr "Po"
+msgid "Open an issue"
+msgstr "Otvorite izdanje"
 
-msgid "Copyright"
-msgstr "Autorska prava"
+msgid "Launch"
+msgstr "Pokrenite"
 
 msgid "Fullscreen mode"
 msgstr "Način preko cijelog zaslona"
 
-msgid "Open an issue"
-msgstr "Otvorite izdanje"
-
-msgid "previous page"
-msgstr "Prethodna stranica"
+msgid "Edit this page"
+msgstr "Uredite ovu stranicu"
 
-msgid "Download this page"
-msgstr "Preuzmite ovu stranicu"
+msgid "By the"
+msgstr "Od strane"
 
-msgid "Theme by the"
-msgstr "Tema autora"
+msgid "next page"
+msgstr "sljedeća stranica"
diff --git a/_static/locales/id/LC_MESSAGES/booktheme.po b/_static/locales/id/LC_MESSAGES/booktheme.po
index 5db2ae1..b8d8d89 100644
--- a/_static/locales/id/LC_MESSAGES/booktheme.po
+++ b/_static/locales/id/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: id\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "menyarankan edit"
-
-msgid "Last updated on"
-msgstr "Terakhir diperbarui saat"
-
-msgid "Edit this page"
-msgstr "Edit halaman ini"
-
-msgid "Launch"
-msgstr "Meluncurkan"
-
 msgid "Print to PDF"
 msgstr "Cetak ke PDF"
 
+msgid "Theme by the"
+msgstr "Tema oleh"
+
+msgid "Download source file"
+msgstr "Unduh file sumber"
+
 msgid "open issue"
 msgstr "masalah terbuka"
 
+msgid "Contents"
+msgstr "Isi"
+
+msgid "previous page"
+msgstr "halaman sebelumnya"
+
 msgid "Download notebook file"
 msgstr "Unduh file notebook"
 
-msgid "Toggle navigation"
-msgstr "Alihkan navigasi"
+msgid "Copyright"
+msgstr "hak cipta"
+
+msgid "Download this page"
+msgstr "Unduh halaman ini"
 
 msgid "Source repository"
 msgstr "Repositori sumber"
 
-msgid "By the"
+msgid "By"
 msgstr "Oleh"
 
-msgid "next page"
-msgstr "halaman selanjutnya"
-
 msgid "repository"
 msgstr "gudang"
 
+msgid "Last updated on"
+msgstr "Terakhir diperbarui saat"
+
+msgid "Toggle navigation"
+msgstr "Alihkan navigasi"
+
 msgid "Sphinx Book Theme"
 msgstr "Tema Buku Sphinx"
 
-msgid "Download source file"
-msgstr "Unduh file sumber"
-
-msgid "Contents"
-msgstr "Isi"
+msgid "suggest edit"
+msgstr "menyarankan edit"
 
-msgid "By"
-msgstr "Oleh"
+msgid "Open an issue"
+msgstr "Buka masalah"
 
-msgid "Copyright"
-msgstr "hak cipta"
+msgid "Launch"
+msgstr "Meluncurkan"
 
 msgid "Fullscreen mode"
 msgstr "Mode layar penuh"
 
-msgid "Open an issue"
-msgstr "Buka masalah"
-
-msgid "previous page"
-msgstr "halaman sebelumnya"
+msgid "Edit this page"
+msgstr "Edit halaman ini"
 
-msgid "Download this page"
-msgstr "Unduh halaman ini"
+msgid "By the"
+msgstr "Oleh"
 
-msgid "Theme by the"
-msgstr "Tema oleh"
+msgid "next page"
+msgstr "halaman selanjutnya"
diff --git a/_static/locales/it/LC_MESSAGES/booktheme.po b/_static/locales/it/LC_MESSAGES/booktheme.po
index 7d54fde..36fca59 100644
--- a/_static/locales/it/LC_MESSAGES/booktheme.po
+++ b/_static/locales/it/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: it\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "suggerisci modifica"
-
-msgid "Last updated on"
-msgstr "Ultimo aggiornamento il"
-
-msgid "Edit this page"
-msgstr "Modifica questa pagina"
-
-msgid "Launch"
-msgstr "Lanciare"
-
 msgid "Print to PDF"
 msgstr "Stampa in PDF"
 
+msgid "Theme by the"
+msgstr "Tema di"
+
+msgid "Download source file"
+msgstr "Scarica il file sorgente"
+
 msgid "open issue"
 msgstr "questione aperta"
 
+msgid "Contents"
+msgstr "Contenuti"
+
+msgid "previous page"
+msgstr "pagina precedente"
+
 msgid "Download notebook file"
 msgstr "Scarica il file del taccuino"
 
-msgid "Toggle navigation"
-msgstr "Attiva / disattiva la navigazione"
+msgid "Copyright"
+msgstr "Diritto d'autore"
+
+msgid "Download this page"
+msgstr "Scarica questa pagina"
 
 msgid "Source repository"
 msgstr "Repository di origine"
 
-msgid "By the"
-msgstr "Dal"
-
-msgid "next page"
-msgstr "pagina successiva"
+msgid "By"
+msgstr "Di"
 
 msgid "repository"
 msgstr "repository"
 
+msgid "Last updated on"
+msgstr "Ultimo aggiornamento il"
+
+msgid "Toggle navigation"
+msgstr "Attiva / disattiva la navigazione"
+
 msgid "Sphinx Book Theme"
 msgstr "Tema del libro della Sfinge"
 
-msgid "Download source file"
-msgstr "Scarica il file sorgente"
-
-msgid "Contents"
-msgstr "Contenuti"
+msgid "suggest edit"
+msgstr "suggerisci modifica"
 
-msgid "By"
-msgstr "Di"
+msgid "Open an issue"
+msgstr "Apri un problema"
 
-msgid "Copyright"
-msgstr "Diritto d'autore"
+msgid "Launch"
+msgstr "Lanciare"
 
 msgid "Fullscreen mode"
 msgstr "Modalità schermo intero"
 
-msgid "Open an issue"
-msgstr "Apri un problema"
-
-msgid "previous page"
-msgstr "pagina precedente"
+msgid "Edit this page"
+msgstr "Modifica questa pagina"
 
-msgid "Download this page"
-msgstr "Scarica questa pagina"
+msgid "By the"
+msgstr "Dal"
 
-msgid "Theme by the"
-msgstr "Tema di"
+msgid "next page"
+msgstr "pagina successiva"
diff --git a/_static/locales/iw/LC_MESSAGES/booktheme.po b/_static/locales/iw/LC_MESSAGES/booktheme.po
index 32b017c..dede9cb 100644
--- a/_static/locales/iw/LC_MESSAGES/booktheme.po
+++ b/_static/locales/iw/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: iw\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "מציע לערוך"
-
-msgid "Last updated on"
-msgstr "עודכן לאחרונה ב"
-
-msgid "Edit this page"
-msgstr "ערוך דף זה"
-
-msgid "Launch"
-msgstr "לְהַשִׁיק"
-
 msgid "Print to PDF"
 msgstr "הדפס לקובץ PDF"
 
+msgid "Theme by the"
+msgstr "נושא מאת"
+
+msgid "Download source file"
+msgstr "הורד את קובץ המקור"
+
 msgid "open issue"
 msgstr "בעיה פתוחה"
 
+msgid "Contents"
+msgstr "תוכן"
+
+msgid "previous page"
+msgstr "עמוד קודם"
+
 msgid "Download notebook file"
 msgstr "הורד קובץ מחברת"
 
-msgid "Toggle navigation"
-msgstr "החלף ניווט"
+msgid "Copyright"
+msgstr "זכויות יוצרים"
+
+msgid "Download this page"
+msgstr "הורד דף זה"
 
 msgid "Source repository"
 msgstr "מאגר המקורות"
 
-msgid "By the"
-msgstr "דרך"
-
-msgid "next page"
-msgstr "עמוד הבא"
+msgid "By"
+msgstr "על ידי"
 
 msgid "repository"
 msgstr "מאגר"
 
+msgid "Last updated on"
+msgstr "עודכן לאחרונה ב"
+
+msgid "Toggle navigation"
+msgstr "החלף ניווט"
+
 msgid "Sphinx Book Theme"
 msgstr "נושא ספר ספינקס"
 
-msgid "Download source file"
-msgstr "הורד את קובץ המקור"
-
-msgid "Contents"
-msgstr "תוכן"
+msgid "suggest edit"
+msgstr "מציע לערוך"
 
-msgid "By"
-msgstr "על ידי"
+msgid "Open an issue"
+msgstr "פתח גיליון"
 
-msgid "Copyright"
-msgstr "זכויות יוצרים"
+msgid "Launch"
+msgstr "לְהַשִׁיק"
 
 msgid "Fullscreen mode"
 msgstr "מצב מסך מלא"
 
-msgid "Open an issue"
-msgstr "פתח גיליון"
-
-msgid "previous page"
-msgstr "עמוד קודם"
+msgid "Edit this page"
+msgstr "ערוך דף זה"
 
-msgid "Download this page"
-msgstr "הורד דף זה"
+msgid "By the"
+msgstr "דרך"
 
-msgid "Theme by the"
-msgstr "נושא מאת"
+msgid "next page"
+msgstr "עמוד הבא"
diff --git a/_static/locales/ja/LC_MESSAGES/booktheme.po b/_static/locales/ja/LC_MESSAGES/booktheme.po
index 16924e1..2615f0d 100644
--- a/_static/locales/ja/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ja/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: ja\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "編集を提案する"
-
-msgid "Last updated on"
-msgstr "最終更新日"
-
-msgid "Edit this page"
-msgstr "このページを編集"
-
-msgid "Launch"
-msgstr "起動"
-
 msgid "Print to PDF"
 msgstr "PDFに印刷"
 
+msgid "Theme by the"
+msgstr "のテーマ"
+
+msgid "Download source file"
+msgstr "ソースファイルをダウンロード"
+
 msgid "open issue"
 msgstr "未解決の問題"
 
+msgid "Contents"
+msgstr "目次"
+
+msgid "previous page"
+msgstr "前のページ"
+
 msgid "Download notebook file"
 msgstr "ノートブックファイルをダウンロード"
 
-msgid "Toggle navigation"
-msgstr "ナビゲーションを切り替え"
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Download this page"
+msgstr "このページをダウンロード"
 
 msgid "Source repository"
 msgstr "ソースリポジトリ"
 
-msgid "By the"
-msgstr "によって"
-
-msgid "next page"
-msgstr "次のページ"
+msgid "By"
+msgstr "著者"
 
 msgid "repository"
 msgstr "リポジトリ"
 
+msgid "Last updated on"
+msgstr "最終更新日"
+
+msgid "Toggle navigation"
+msgstr "ナビゲーションを切り替え"
+
 msgid "Sphinx Book Theme"
 msgstr "スフィンクスの本のテーマ"
 
-msgid "Download source file"
-msgstr "ソースファイルをダウンロード"
-
-msgid "Contents"
-msgstr "目次"
+msgid "suggest edit"
+msgstr "編集を提案する"
 
-msgid "By"
-msgstr "著者"
+msgid "Open an issue"
+msgstr "問題を報告"
 
-msgid "Copyright"
-msgstr "Copyright"
+msgid "Launch"
+msgstr "起動"
 
 msgid "Fullscreen mode"
 msgstr "全画面モード"
 
-msgid "Open an issue"
-msgstr "問題を報告"
-
-msgid "previous page"
-msgstr "前のページ"
+msgid "Edit this page"
+msgstr "このページを編集"
 
-msgid "Download this page"
-msgstr "このページをダウンロード"
+msgid "By the"
+msgstr "によって"
 
-msgid "Theme by the"
-msgstr "のテーマ"
+msgid "next page"
+msgstr "次のページ"
diff --git a/_static/locales/ko/LC_MESSAGES/booktheme.po b/_static/locales/ko/LC_MESSAGES/booktheme.po
index 69dd18f..c9e13a4 100644
--- a/_static/locales/ko/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ko/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: ko\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "편집 제안"
-
-msgid "Last updated on"
-msgstr "마지막 업데이트"
-
-msgid "Edit this page"
-msgstr "이 페이지 편집"
-
-msgid "Launch"
-msgstr "시작하다"
-
 msgid "Print to PDF"
 msgstr "PDF로 인쇄"
 
+msgid "Theme by the"
+msgstr "테마별"
+
+msgid "Download source file"
+msgstr "소스 파일 다운로드"
+
 msgid "open issue"
 msgstr "열린 문제"
 
+msgid "Contents"
+msgstr "내용"
+
+msgid "previous page"
+msgstr "이전 페이지"
+
 msgid "Download notebook file"
 msgstr "노트북 파일 다운로드"
 
-msgid "Toggle navigation"
-msgstr "탐색 전환"
+msgid "Copyright"
+msgstr "저작권"
+
+msgid "Download this page"
+msgstr "이 페이지 다운로드"
 
 msgid "Source repository"
 msgstr "소스 저장소"
 
-msgid "By the"
-msgstr "에 의해"
-
-msgid "next page"
-msgstr "다음 페이지"
+msgid "By"
+msgstr "으로"
 
 msgid "repository"
 msgstr "저장소"
 
+msgid "Last updated on"
+msgstr "마지막 업데이트"
+
+msgid "Toggle navigation"
+msgstr "탐색 전환"
+
 msgid "Sphinx Book Theme"
 msgstr "스핑크스 도서 테마"
 
-msgid "Download source file"
-msgstr "소스 파일 다운로드"
-
-msgid "Contents"
-msgstr "내용"
+msgid "suggest edit"
+msgstr "편집 제안"
 
-msgid "By"
-msgstr "으로"
+msgid "Open an issue"
+msgstr "이슈 열기"
 
-msgid "Copyright"
-msgstr "저작권"
+msgid "Launch"
+msgstr "시작하다"
 
 msgid "Fullscreen mode"
 msgstr "전체 화면으로보기"
 
-msgid "Open an issue"
-msgstr "이슈 열기"
-
-msgid "previous page"
-msgstr "이전 페이지"
+msgid "Edit this page"
+msgstr "이 페이지 편집"
 
-msgid "Download this page"
-msgstr "이 페이지 다운로드"
+msgid "By the"
+msgstr "에 의해"
 
-msgid "Theme by the"
-msgstr "테마별"
+msgid "next page"
+msgstr "다음 페이지"
diff --git a/_static/locales/lt/LC_MESSAGES/booktheme.po b/_static/locales/lt/LC_MESSAGES/booktheme.po
index 9f03775..35eabd9 100644
--- a/_static/locales/lt/LC_MESSAGES/booktheme.po
+++ b/_static/locales/lt/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: lt\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "pasiūlyti redaguoti"
-
-msgid "Last updated on"
-msgstr "Paskutinį kartą atnaujinta"
-
-msgid "Edit this page"
-msgstr "Redaguoti šį puslapį"
-
-msgid "Launch"
-msgstr "Paleiskite"
-
 msgid "Print to PDF"
 msgstr "Spausdinti į PDF"
 
+msgid "Theme by the"
+msgstr "Tema"
+
+msgid "Download source file"
+msgstr "Atsisiųsti šaltinio failą"
+
 msgid "open issue"
 msgstr "atviras klausimas"
 
+msgid "Contents"
+msgstr "Turinys"
+
+msgid "previous page"
+msgstr "Ankstesnis puslapis"
+
 msgid "Download notebook file"
 msgstr "Atsisiųsti nešiojamojo kompiuterio failą"
 
-msgid "Toggle navigation"
-msgstr "Perjungti naršymą"
+msgid "Copyright"
+msgstr "Autorių teisės"
+
+msgid "Download this page"
+msgstr "Atsisiųskite šį puslapį"
 
 msgid "Source repository"
 msgstr "Šaltinio saugykla"
 
-msgid "By the"
-msgstr "Prie"
-
-msgid "next page"
-msgstr "Kitas puslapis"
+msgid "By"
+msgstr "Iki"
 
 msgid "repository"
 msgstr "saugykla"
 
+msgid "Last updated on"
+msgstr "Paskutinį kartą atnaujinta"
+
+msgid "Toggle navigation"
+msgstr "Perjungti naršymą"
+
 msgid "Sphinx Book Theme"
 msgstr "Sfinkso knygos tema"
 
-msgid "Download source file"
-msgstr "Atsisiųsti šaltinio failą"
-
-msgid "Contents"
-msgstr "Turinys"
+msgid "suggest edit"
+msgstr "pasiūlyti redaguoti"
 
-msgid "By"
-msgstr "Iki"
+msgid "Open an issue"
+msgstr "Atidarykite problemą"
 
-msgid "Copyright"
-msgstr "Autorių teisės"
+msgid "Launch"
+msgstr "Paleiskite"
 
 msgid "Fullscreen mode"
 msgstr "Pilno ekrano režimas"
 
-msgid "Open an issue"
-msgstr "Atidarykite problemą"
-
-msgid "previous page"
-msgstr "Ankstesnis puslapis"
+msgid "Edit this page"
+msgstr "Redaguoti šį puslapį"
 
-msgid "Download this page"
-msgstr "Atsisiųskite šį puslapį"
+msgid "By the"
+msgstr "Prie"
 
-msgid "Theme by the"
-msgstr "Tema"
+msgid "next page"
+msgstr "Kitas puslapis"
diff --git a/_static/locales/lv/LC_MESSAGES/booktheme.po b/_static/locales/lv/LC_MESSAGES/booktheme.po
index c9633b5..ee1bd08 100644
--- a/_static/locales/lv/LC_MESSAGES/booktheme.po
+++ b/_static/locales/lv/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: lv\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "ieteikt rediģēt"
-
-msgid "Last updated on"
-msgstr "Pēdējoreiz atjaunināts"
-
-msgid "Edit this page"
-msgstr "Rediģēt šo lapu"
-
-msgid "Launch"
-msgstr "Uzsākt"
-
 msgid "Print to PDF"
 msgstr "Drukāt PDF formātā"
 
+msgid "Theme by the"
+msgstr "Autora tēma"
+
+msgid "Download source file"
+msgstr "Lejupielādēt avota failu"
+
 msgid "open issue"
 msgstr "atklāts jautājums"
 
+msgid "Contents"
+msgstr "Saturs"
+
+msgid "previous page"
+msgstr "iepriekšējā lapa"
+
 msgid "Download notebook file"
 msgstr "Lejupielādēt piezīmju grāmatiņu"
 
-msgid "Toggle navigation"
-msgstr "Pārslēgt navigāciju"
+msgid "Copyright"
+msgstr "Autortiesības"
+
+msgid "Download this page"
+msgstr "Lejupielādējiet šo lapu"
 
 msgid "Source repository"
 msgstr "Avota krātuve"
 
-msgid "By the"
-msgstr "Ar"
-
-msgid "next page"
-msgstr "nākamā lapaspuse"
+msgid "By"
+msgstr "Autors"
 
 msgid "repository"
 msgstr "krātuve"
 
+msgid "Last updated on"
+msgstr "Pēdējoreiz atjaunināts"
+
+msgid "Toggle navigation"
+msgstr "Pārslēgt navigāciju"
+
 msgid "Sphinx Book Theme"
 msgstr "Sfinksa grāmatas tēma"
 
-msgid "Download source file"
-msgstr "Lejupielādēt avota failu"
-
-msgid "Contents"
-msgstr "Saturs"
+msgid "suggest edit"
+msgstr "ieteikt rediģēt"
 
-msgid "By"
-msgstr "Autors"
+msgid "Open an issue"
+msgstr "Atveriet problēmu"
 
-msgid "Copyright"
-msgstr "Autortiesības"
+msgid "Launch"
+msgstr "Uzsākt"
 
 msgid "Fullscreen mode"
 msgstr "Pilnekrāna režīms"
 
-msgid "Open an issue"
-msgstr "Atveriet problēmu"
-
-msgid "previous page"
-msgstr "iepriekšējā lapa"
+msgid "Edit this page"
+msgstr "Rediģēt šo lapu"
 
-msgid "Download this page"
-msgstr "Lejupielādējiet šo lapu"
+msgid "By the"
+msgstr "Ar"
 
-msgid "Theme by the"
-msgstr "Autora tēma"
+msgid "next page"
+msgstr "nākamā lapaspuse"
diff --git a/_static/locales/ml/LC_MESSAGES/booktheme.po b/_static/locales/ml/LC_MESSAGES/booktheme.po
index 9a6a41e..d471277 100644
--- a/_static/locales/ml/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ml/LC_MESSAGES/booktheme.po
@@ -8,59 +8,59 @@ msgstr ""
 "Language: ml\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "എഡിറ്റുചെയ്യാൻ നിർദ്ദേശിക്കുക"
-
-msgid "Last updated on"
-msgstr "അവസാനം അപ്‌ഡേറ്റുചെയ്‌തത്"
-
-msgid "Edit this page"
-msgstr "ഈ പേജ് എഡിറ്റുചെയ്യുക"
-
-msgid "Launch"
-msgstr "സമാരംഭിക്കുക"
-
 msgid "Print to PDF"
 msgstr "PDF- ലേക്ക് പ്രിന്റുചെയ്യുക"
 
+msgid "Theme by the"
+msgstr "പ്രമേയം"
+
+msgid "Download source file"
+msgstr "ഉറവിട ഫയൽ ഡൗൺലോഡുചെയ്യുക"
+
 msgid "open issue"
 msgstr "തുറന്ന പ്രശ്നം"
 
+msgid "previous page"
+msgstr "മുൻപത്തെ താൾ"
+
 msgid "Download notebook file"
 msgstr "നോട്ട്ബുക്ക് ഫയൽ ഡൺലോഡ് ചെയ്യുക"
 
-msgid "Toggle navigation"
-msgstr "നാവിഗേഷൻ ടോഗിൾ ചെയ്യുക"
+msgid "Copyright"
+msgstr "പകർപ്പവകാശം"
+
+msgid "Download this page"
+msgstr "ഈ പേജ് ഡൗൺലോഡുചെയ്യുക"
 
 msgid "Source repository"
 msgstr "ഉറവിട ശേഖരം"
 
-msgid "By the"
+msgid "By"
 msgstr "എഴുതിയത്"
 
-msgid "next page"
-msgstr "അടുത്ത പേജ്"
+msgid "Last updated on"
+msgstr "അവസാനം അപ്‌ഡേറ്റുചെയ്‌തത്"
+
+msgid "Toggle navigation"
+msgstr "നാവിഗേഷൻ ടോഗിൾ ചെയ്യുക"
 
 msgid "Sphinx Book Theme"
 msgstr "സ്ഫിങ്ക്സ് പുസ്തക തീം"
 
-msgid "Download source file"
-msgstr "ഉറവിട ഫയൽ ഡൗൺലോഡുചെയ്യുക"
-
-msgid "By"
-msgstr "എഴുതിയത്"
-
-msgid "Copyright"
-msgstr "പകർപ്പവകാശം"
+msgid "suggest edit"
+msgstr "എഡിറ്റുചെയ്യാൻ നിർദ്ദേശിക്കുക"
 
 msgid "Open an issue"
 msgstr "ഒരു പ്രശ്നം തുറക്കുക"
 
-msgid "previous page"
-msgstr "മുൻപത്തെ താൾ"
+msgid "Launch"
+msgstr "സമാരംഭിക്കുക"
 
-msgid "Download this page"
-msgstr "ഈ പേജ് ഡൗൺലോഡുചെയ്യുക"
+msgid "Edit this page"
+msgstr "ഈ പേജ് എഡിറ്റുചെയ്യുക"
 
-msgid "Theme by the"
-msgstr "പ്രമേയം"
+msgid "By the"
+msgstr "എഴുതിയത്"
+
+msgid "next page"
+msgstr "അടുത്ത പേജ്"
diff --git a/_static/locales/mr/LC_MESSAGES/booktheme.po b/_static/locales/mr/LC_MESSAGES/booktheme.po
index ef72d8c..f3694ac 100644
--- a/_static/locales/mr/LC_MESSAGES/booktheme.po
+++ b/_static/locales/mr/LC_MESSAGES/booktheme.po
@@ -8,59 +8,59 @@ msgstr ""
 "Language: mr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "संपादन सुचवा"
-
-msgid "Last updated on"
-msgstr "अखेरचे अद्यतनित"
-
-msgid "Edit this page"
-msgstr "हे पृष्ठ संपादित करा"
-
-msgid "Launch"
-msgstr "लाँच करा"
-
 msgid "Print to PDF"
 msgstr "पीडीएफवर मुद्रित करा"
 
+msgid "Theme by the"
+msgstr "द्वारा थीम"
+
+msgid "Download source file"
+msgstr "स्त्रोत फाइल डाउनलोड करा"
+
 msgid "open issue"
 msgstr "खुला मुद्दा"
 
+msgid "previous page"
+msgstr "मागील पान"
+
 msgid "Download notebook file"
 msgstr "नोटबुक फाईल डाउनलोड करा"
 
-msgid "Toggle navigation"
-msgstr "नेव्हिगेशन टॉगल करा"
+msgid "Copyright"
+msgstr "कॉपीराइट"
+
+msgid "Download this page"
+msgstr "हे पृष्ठ डाउनलोड करा"
 
 msgid "Source repository"
 msgstr "स्त्रोत भांडार"
 
-msgid "By the"
+msgid "By"
 msgstr "द्वारा"
 
-msgid "next page"
-msgstr "पुढील पृष्ठ"
+msgid "Last updated on"
+msgstr "अखेरचे अद्यतनित"
+
+msgid "Toggle navigation"
+msgstr "नेव्हिगेशन टॉगल करा"
 
 msgid "Sphinx Book Theme"
 msgstr "स्फिंक्स बुक थीम"
 
-msgid "Download source file"
-msgstr "स्त्रोत फाइल डाउनलोड करा"
-
-msgid "By"
-msgstr "द्वारा"
-
-msgid "Copyright"
-msgstr "कॉपीराइट"
+msgid "suggest edit"
+msgstr "संपादन सुचवा"
 
 msgid "Open an issue"
 msgstr "एक मुद्दा उघडा"
 
-msgid "previous page"
-msgstr "मागील पान"
+msgid "Launch"
+msgstr "लाँच करा"
 
-msgid "Download this page"
-msgstr "हे पृष्ठ डाउनलोड करा"
+msgid "Edit this page"
+msgstr "हे पृष्ठ संपादित करा"
 
-msgid "Theme by the"
-msgstr "द्वारा थीम"
+msgid "By the"
+msgstr "द्वारा"
+
+msgid "next page"
+msgstr "पुढील पृष्ठ"
diff --git a/_static/locales/ms/LC_MESSAGES/booktheme.po b/_static/locales/ms/LC_MESSAGES/booktheme.po
index e29cbe2..65b7c60 100644
--- a/_static/locales/ms/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ms/LC_MESSAGES/booktheme.po
@@ -8,59 +8,59 @@ msgstr ""
 "Language: ms\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "cadangkan edit"
-
-msgid "Last updated on"
-msgstr "Terakhir dikemas kini pada"
-
-msgid "Edit this page"
-msgstr "Edit halaman ini"
-
-msgid "Launch"
-msgstr "Lancarkan"
-
 msgid "Print to PDF"
 msgstr "Cetak ke PDF"
 
+msgid "Theme by the"
+msgstr "Tema oleh"
+
+msgid "Download source file"
+msgstr "Muat turun fail sumber"
+
 msgid "open issue"
 msgstr "isu terbuka"
 
+msgid "previous page"
+msgstr "halaman sebelumnya"
+
 msgid "Download notebook file"
 msgstr "Muat turun fail buku nota"
 
-msgid "Toggle navigation"
-msgstr "Togol navigasi"
+msgid "Copyright"
+msgstr "hak cipta"
+
+msgid "Download this page"
+msgstr "Muat turun halaman ini"
 
 msgid "Source repository"
 msgstr "Repositori sumber"
 
-msgid "By the"
+msgid "By"
 msgstr "Oleh"
 
-msgid "next page"
-msgstr "muka surat seterusnya"
+msgid "Last updated on"
+msgstr "Terakhir dikemas kini pada"
+
+msgid "Toggle navigation"
+msgstr "Togol navigasi"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema Buku Sphinx"
 
-msgid "Download source file"
-msgstr "Muat turun fail sumber"
-
-msgid "By"
-msgstr "Oleh"
-
-msgid "Copyright"
-msgstr "hak cipta"
+msgid "suggest edit"
+msgstr "cadangkan edit"
 
 msgid "Open an issue"
 msgstr "Buka masalah"
 
-msgid "previous page"
-msgstr "halaman sebelumnya"
+msgid "Launch"
+msgstr "Lancarkan"
 
-msgid "Download this page"
-msgstr "Muat turun halaman ini"
+msgid "Edit this page"
+msgstr "Edit halaman ini"
 
-msgid "Theme by the"
-msgstr "Tema oleh"
+msgid "By the"
+msgstr "Oleh"
+
+msgid "next page"
+msgstr "muka surat seterusnya"
diff --git a/_static/locales/nl/LC_MESSAGES/booktheme.po b/_static/locales/nl/LC_MESSAGES/booktheme.po
index e4844d7..71bd1cd 100644
--- a/_static/locales/nl/LC_MESSAGES/booktheme.po
+++ b/_static/locales/nl/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: nl\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "suggereren bewerken"
-
-msgid "Last updated on"
-msgstr "Laatst geupdate op"
-
-msgid "Edit this page"
-msgstr "bewerk deze pagina"
-
-msgid "Launch"
-msgstr "Lancering"
-
 msgid "Print to PDF"
 msgstr "Afdrukken naar pdf"
 
+msgid "Theme by the"
+msgstr "Thema door de"
+
+msgid "Download source file"
+msgstr "Download het bronbestand"
+
 msgid "open issue"
 msgstr "open probleem"
 
+msgid "Contents"
+msgstr "Inhoud"
+
+msgid "previous page"
+msgstr "vorige pagina"
+
 msgid "Download notebook file"
 msgstr "Download notebookbestand"
 
-msgid "Toggle navigation"
-msgstr "Schakel navigatie"
+msgid "Copyright"
+msgstr "auteursrechten"
+
+msgid "Download this page"
+msgstr "Download deze pagina"
 
 msgid "Source repository"
 msgstr "Bronopslagplaats"
 
-msgid "By the"
-msgstr "Door de"
-
-msgid "next page"
-msgstr "volgende bladzijde"
+msgid "By"
+msgstr "Door"
 
 msgid "repository"
 msgstr "repository"
 
+msgid "Last updated on"
+msgstr "Laatst geupdate op"
+
+msgid "Toggle navigation"
+msgstr "Schakel navigatie"
+
 msgid "Sphinx Book Theme"
 msgstr "Sphinx-boekthema"
 
-msgid "Download source file"
-msgstr "Download het bronbestand"
-
-msgid "Contents"
-msgstr "Inhoud"
+msgid "suggest edit"
+msgstr "suggereren bewerken"
 
-msgid "By"
-msgstr "Door"
+msgid "Open an issue"
+msgstr "Open een probleem"
 
-msgid "Copyright"
-msgstr "auteursrechten"
+msgid "Launch"
+msgstr "Lancering"
 
 msgid "Fullscreen mode"
 msgstr "Volledig scherm"
 
-msgid "Open an issue"
-msgstr "Open een probleem"
-
-msgid "previous page"
-msgstr "vorige pagina"
+msgid "Edit this page"
+msgstr "bewerk deze pagina"
 
-msgid "Download this page"
-msgstr "Download deze pagina"
+msgid "By the"
+msgstr "Door de"
 
-msgid "Theme by the"
-msgstr "Thema door de"
+msgid "next page"
+msgstr "volgende bladzijde"
diff --git a/_static/locales/no/LC_MESSAGES/booktheme.po b/_static/locales/no/LC_MESSAGES/booktheme.po
index d079dd9..b21346a 100644
--- a/_static/locales/no/LC_MESSAGES/booktheme.po
+++ b/_static/locales/no/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: no\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "foreslå redigering"
-
-msgid "Last updated on"
-msgstr "Sist oppdatert den"
-
-msgid "Edit this page"
-msgstr "Rediger denne siden"
-
-msgid "Launch"
-msgstr "Start"
-
 msgid "Print to PDF"
 msgstr "Skriv ut til PDF"
 
+msgid "Theme by the"
+msgstr "Tema av"
+
+msgid "Download source file"
+msgstr "Last ned kildefilen"
+
 msgid "open issue"
 msgstr "åpent nummer"
 
+msgid "Contents"
+msgstr "Innhold"
+
+msgid "previous page"
+msgstr "forrige side"
+
 msgid "Download notebook file"
 msgstr "Last ned notatbokfilen"
 
-msgid "Toggle navigation"
-msgstr "Bytt navigasjon"
+msgid "Copyright"
+msgstr "opphavsrett"
+
+msgid "Download this page"
+msgstr "Last ned denne siden"
 
 msgid "Source repository"
 msgstr "Kildedepot"
 
-msgid "By the"
-msgstr "Ved"
-
-msgid "next page"
-msgstr "neste side"
+msgid "By"
+msgstr "Av"
 
 msgid "repository"
 msgstr "oppbevaringssted"
 
+msgid "Last updated on"
+msgstr "Sist oppdatert den"
+
+msgid "Toggle navigation"
+msgstr "Bytt navigasjon"
+
 msgid "Sphinx Book Theme"
 msgstr "Sphinx boktema"
 
-msgid "Download source file"
-msgstr "Last ned kildefilen"
-
-msgid "Contents"
-msgstr "Innhold"
+msgid "suggest edit"
+msgstr "foreslå redigering"
 
-msgid "By"
-msgstr "Av"
+msgid "Open an issue"
+msgstr "Åpne et problem"
 
-msgid "Copyright"
-msgstr "opphavsrett"
+msgid "Launch"
+msgstr "Start"
 
 msgid "Fullscreen mode"
 msgstr "Fullskjerm-modus"
 
-msgid "Open an issue"
-msgstr "Åpne et problem"
-
-msgid "previous page"
-msgstr "forrige side"
+msgid "Edit this page"
+msgstr "Rediger denne siden"
 
-msgid "Download this page"
-msgstr "Last ned denne siden"
+msgid "By the"
+msgstr "Ved"
 
-msgid "Theme by the"
-msgstr "Tema av"
+msgid "next page"
+msgstr "neste side"
diff --git a/_static/locales/pl/LC_MESSAGES/booktheme.po b/_static/locales/pl/LC_MESSAGES/booktheme.po
index fcac51d..1b7233f 100644
--- a/_static/locales/pl/LC_MESSAGES/booktheme.po
+++ b/_static/locales/pl/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: pl\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "zaproponuj edycję"
-
-msgid "Last updated on"
-msgstr "Ostatnia aktualizacja"
-
-msgid "Edit this page"
-msgstr "Edytuj tę strone"
-
-msgid "Launch"
-msgstr "Uruchomić"
-
 msgid "Print to PDF"
 msgstr "Drukuj do PDF"
 
+msgid "Theme by the"
+msgstr "Motyw autorstwa"
+
+msgid "Download source file"
+msgstr "Pobierz plik źródłowy"
+
 msgid "open issue"
 msgstr "otwarty problem"
 
+msgid "Contents"
+msgstr "Zawartość"
+
+msgid "previous page"
+msgstr "Poprzednia strona"
+
 msgid "Download notebook file"
 msgstr "Pobierz plik notatnika"
 
-msgid "Toggle navigation"
-msgstr "Przełącz nawigację"
+msgid "Copyright"
+msgstr "prawa autorskie"
+
+msgid "Download this page"
+msgstr "Pobierz tę stronę"
 
 msgid "Source repository"
 msgstr "Repozytorium źródłowe"
 
-msgid "By the"
+msgid "By"
 msgstr "Przez"
 
-msgid "next page"
-msgstr "Następna strona"
-
 msgid "repository"
 msgstr "magazyn"
 
+msgid "Last updated on"
+msgstr "Ostatnia aktualizacja"
+
+msgid "Toggle navigation"
+msgstr "Przełącz nawigację"
+
 msgid "Sphinx Book Theme"
 msgstr "Motyw książki Sphinx"
 
-msgid "Download source file"
-msgstr "Pobierz plik źródłowy"
-
-msgid "Contents"
-msgstr "Zawartość"
+msgid "suggest edit"
+msgstr "zaproponuj edycję"
 
-msgid "By"
-msgstr "Przez"
+msgid "Open an issue"
+msgstr "Otwórz problem"
 
-msgid "Copyright"
-msgstr "prawa autorskie"
+msgid "Launch"
+msgstr "Uruchomić"
 
 msgid "Fullscreen mode"
 msgstr "Pełny ekran"
 
-msgid "Open an issue"
-msgstr "Otwórz problem"
-
-msgid "previous page"
-msgstr "Poprzednia strona"
+msgid "Edit this page"
+msgstr "Edytuj tę strone"
 
-msgid "Download this page"
-msgstr "Pobierz tę stronę"
+msgid "By the"
+msgstr "Przez"
 
-msgid "Theme by the"
-msgstr "Motyw autorstwa"
+msgid "next page"
+msgstr "Następna strona"
diff --git a/_static/locales/pt/LC_MESSAGES/booktheme.po b/_static/locales/pt/LC_MESSAGES/booktheme.po
index 1761db0..1b27314 100644
--- a/_static/locales/pt/LC_MESSAGES/booktheme.po
+++ b/_static/locales/pt/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: pt\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "sugerir edição"
-
-msgid "Last updated on"
-msgstr "Última atualização em"
-
-msgid "Edit this page"
-msgstr "Edite essa página"
-
-msgid "Launch"
-msgstr "Lançamento"
-
 msgid "Print to PDF"
 msgstr "Imprimir em PDF"
 
+msgid "Theme by the"
+msgstr "Tema por"
+
+msgid "Download source file"
+msgstr "Baixar arquivo fonte"
+
 msgid "open issue"
 msgstr "questão aberta"
 
+msgid "Contents"
+msgstr "Conteúdo"
+
+msgid "previous page"
+msgstr "página anterior"
+
 msgid "Download notebook file"
 msgstr "Baixar arquivo de notebook"
 
-msgid "Toggle navigation"
-msgstr "Alternar de navegação"
+msgid "Copyright"
+msgstr "direito autoral"
+
+msgid "Download this page"
+msgstr "Baixe esta página"
 
 msgid "Source repository"
 msgstr "Repositório fonte"
 
-msgid "By the"
-msgstr "Pelo"
-
-msgid "next page"
-msgstr "próxima página"
+msgid "By"
+msgstr "De"
 
 msgid "repository"
 msgstr "repositório"
 
+msgid "Last updated on"
+msgstr "Última atualização em"
+
+msgid "Toggle navigation"
+msgstr "Alternar de navegação"
+
 msgid "Sphinx Book Theme"
 msgstr "Tema do livro Sphinx"
 
-msgid "Download source file"
-msgstr "Baixar arquivo fonte"
-
-msgid "Contents"
-msgstr "Conteúdo"
+msgid "suggest edit"
+msgstr "sugerir edição"
 
-msgid "By"
-msgstr "De"
+msgid "Open an issue"
+msgstr "Abra um problema"
 
-msgid "Copyright"
-msgstr "direito autoral"
+msgid "Launch"
+msgstr "Lançamento"
 
 msgid "Fullscreen mode"
 msgstr "Modo tela cheia"
 
-msgid "Open an issue"
-msgstr "Abra um problema"
-
-msgid "previous page"
-msgstr "página anterior"
+msgid "Edit this page"
+msgstr "Edite essa página"
 
-msgid "Download this page"
-msgstr "Baixe esta página"
+msgid "By the"
+msgstr "Pelo"
 
-msgid "Theme by the"
-msgstr "Tema por"
+msgid "next page"
+msgstr "próxima página"
diff --git a/_static/locales/ro/LC_MESSAGES/booktheme.po b/_static/locales/ro/LC_MESSAGES/booktheme.po
index db865c8..1783ad2 100644
--- a/_static/locales/ro/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ro/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: ro\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "sugerează editare"
-
-msgid "Last updated on"
-msgstr "Ultima actualizare la"
-
-msgid "Edit this page"
-msgstr "Editați această pagină"
-
-msgid "Launch"
-msgstr "Lansa"
-
 msgid "Print to PDF"
 msgstr "Imprimați în PDF"
 
+msgid "Theme by the"
+msgstr "Tema de"
+
+msgid "Download source file"
+msgstr "Descărcați fișierul sursă"
+
 msgid "open issue"
 msgstr "problema deschisă"
 
+msgid "Contents"
+msgstr "Cuprins"
+
+msgid "previous page"
+msgstr "pagina anterioară"
+
 msgid "Download notebook file"
 msgstr "Descărcați fișierul notebook"
 
-msgid "Toggle navigation"
-msgstr "Comutare navigare"
+msgid "Copyright"
+msgstr "Drepturi de autor"
+
+msgid "Download this page"
+msgstr "Descarcă această pagină"
 
 msgid "Source repository"
 msgstr "Depozit sursă"
 
-msgid "By the"
-msgstr "Langa"
-
-msgid "next page"
-msgstr "pagina următoare"
+msgid "By"
+msgstr "De"
 
 msgid "repository"
 msgstr "repertoriu"
 
+msgid "Last updated on"
+msgstr "Ultima actualizare la"
+
+msgid "Toggle navigation"
+msgstr "Comutare navigare"
+
 msgid "Sphinx Book Theme"
 msgstr "Tema Sphinx Book"
 
-msgid "Download source file"
-msgstr "Descărcați fișierul sursă"
-
-msgid "Contents"
-msgstr "Cuprins"
+msgid "suggest edit"
+msgstr "sugerează editare"
 
-msgid "By"
-msgstr "De"
+msgid "Open an issue"
+msgstr "Deschideți o problemă"
 
-msgid "Copyright"
-msgstr "Drepturi de autor"
+msgid "Launch"
+msgstr "Lansa"
 
 msgid "Fullscreen mode"
 msgstr "Modul ecran întreg"
 
-msgid "Open an issue"
-msgstr "Deschideți o problemă"
-
-msgid "previous page"
-msgstr "pagina anterioară"
+msgid "Edit this page"
+msgstr "Editați această pagină"
 
-msgid "Download this page"
-msgstr "Descarcă această pagină"
+msgid "By the"
+msgstr "Langa"
 
-msgid "Theme by the"
-msgstr "Tema de"
+msgid "next page"
+msgstr "pagina următoare"
diff --git a/_static/locales/ru/LC_MESSAGES/booktheme.po b/_static/locales/ru/LC_MESSAGES/booktheme.po
index 84ab6eb..b1176b7 100644
--- a/_static/locales/ru/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ru/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: ru\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "предложить редактировать"
-
-msgid "Last updated on"
-msgstr "Последнее обновление"
-
-msgid "Edit this page"
-msgstr "Редактировать эту страницу"
-
-msgid "Launch"
-msgstr "Запуск"
-
 msgid "Print to PDF"
 msgstr "Распечатать в PDF"
 
+msgid "Theme by the"
+msgstr "Тема от"
+
+msgid "Download source file"
+msgstr "Скачать исходный файл"
+
 msgid "open issue"
 msgstr "открытый вопрос"
 
+msgid "Contents"
+msgstr "Содержание"
+
+msgid "previous page"
+msgstr "Предыдущая страница"
+
 msgid "Download notebook file"
 msgstr "Скачать файл записной книжки"
 
-msgid "Toggle navigation"
-msgstr "Переключить навигацию"
+msgid "Copyright"
+msgstr "авторское право"
+
+msgid "Download this page"
+msgstr "Загрузите эту страницу"
 
 msgid "Source repository"
 msgstr "Исходный репозиторий"
 
-msgid "By the"
-msgstr "Посредством"
-
-msgid "next page"
-msgstr "Следующая страница"
+msgid "By"
+msgstr "По"
 
 msgid "repository"
 msgstr "хранилище"
 
+msgid "Last updated on"
+msgstr "Последнее обновление"
+
+msgid "Toggle navigation"
+msgstr "Переключить навигацию"
+
 msgid "Sphinx Book Theme"
 msgstr "Тема книги Сфинкс"
 
-msgid "Download source file"
-msgstr "Скачать исходный файл"
-
-msgid "Contents"
-msgstr "Содержание"
+msgid "suggest edit"
+msgstr "предложить редактировать"
 
-msgid "By"
-msgstr "По"
+msgid "Open an issue"
+msgstr "Открыть вопрос"
 
-msgid "Copyright"
-msgstr "авторское право"
+msgid "Launch"
+msgstr "Запуск"
 
 msgid "Fullscreen mode"
 msgstr "Полноэкранный режим"
 
-msgid "Open an issue"
-msgstr "Открыть вопрос"
-
-msgid "previous page"
-msgstr "Предыдущая страница"
+msgid "Edit this page"
+msgstr "Редактировать эту страницу"
 
-msgid "Download this page"
-msgstr "Загрузите эту страницу"
+msgid "By the"
+msgstr "Посредством"
 
-msgid "Theme by the"
-msgstr "Тема от"
+msgid "next page"
+msgstr "Следующая страница"
diff --git a/_static/locales/sk/LC_MESSAGES/booktheme.po b/_static/locales/sk/LC_MESSAGES/booktheme.po
index e44878b..6501288 100644
--- a/_static/locales/sk/LC_MESSAGES/booktheme.po
+++ b/_static/locales/sk/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: sk\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "navrhnúť úpravu"
-
-msgid "Last updated on"
-msgstr "Posledná aktualizácia dňa"
-
-msgid "Edit this page"
-msgstr "Upraviť túto stránku"
-
-msgid "Launch"
-msgstr "Spustiť"
-
 msgid "Print to PDF"
 msgstr "Tlač do PDF"
 
+msgid "Theme by the"
+msgstr "Téma od"
+
+msgid "Download source file"
+msgstr "Stiahnite si zdrojový súbor"
+
 msgid "open issue"
 msgstr "otvorené vydanie"
 
+msgid "Contents"
+msgstr "Obsah"
+
+msgid "previous page"
+msgstr "predchádzajúca strana"
+
 msgid "Download notebook file"
 msgstr "Stiahnite si zošit"
 
-msgid "Toggle navigation"
-msgstr "Prepnúť navigáciu"
+msgid "Copyright"
+msgstr "Autorské práva"
+
+msgid "Download this page"
+msgstr "Stiahnite si túto stránku"
 
 msgid "Source repository"
 msgstr "Zdrojové úložisko"
 
-msgid "By the"
-msgstr "Podľa"
-
-msgid "next page"
-msgstr "ďalšia strana"
+msgid "By"
+msgstr "Autor:"
 
 msgid "repository"
 msgstr "Úložisko"
 
+msgid "Last updated on"
+msgstr "Posledná aktualizácia dňa"
+
+msgid "Toggle navigation"
+msgstr "Prepnúť navigáciu"
+
 msgid "Sphinx Book Theme"
 msgstr "Téma knihy Sfinga"
 
-msgid "Download source file"
-msgstr "Stiahnite si zdrojový súbor"
-
-msgid "Contents"
-msgstr "Obsah"
+msgid "suggest edit"
+msgstr "navrhnúť úpravu"
 
-msgid "By"
-msgstr "Autor:"
+msgid "Open an issue"
+msgstr "Otvorte problém"
 
-msgid "Copyright"
-msgstr "Autorské práva"
+msgid "Launch"
+msgstr "Spustiť"
 
 msgid "Fullscreen mode"
 msgstr "Režim celej obrazovky"
 
-msgid "Open an issue"
-msgstr "Otvorte problém"
-
-msgid "previous page"
-msgstr "predchádzajúca strana"
+msgid "Edit this page"
+msgstr "Upraviť túto stránku"
 
-msgid "Download this page"
-msgstr "Stiahnite si túto stránku"
+msgid "By the"
+msgstr "Podľa"
 
-msgid "Theme by the"
-msgstr "Téma od"
+msgid "next page"
+msgstr "ďalšia strana"
diff --git a/_static/locales/sl/LC_MESSAGES/booktheme.po b/_static/locales/sl/LC_MESSAGES/booktheme.po
index 228939b..3c7e3a8 100644
--- a/_static/locales/sl/LC_MESSAGES/booktheme.po
+++ b/_static/locales/sl/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: sl\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "predlagajte urejanje"
-
-msgid "Last updated on"
-msgstr "Nazadnje posodobljeno dne"
-
-msgid "Edit this page"
-msgstr "Uredite to stran"
-
-msgid "Launch"
-msgstr "Kosilo"
-
 msgid "Print to PDF"
 msgstr "Natisni v PDF"
 
+msgid "Theme by the"
+msgstr "Tema avtorja"
+
+msgid "Download source file"
+msgstr "Prenesite izvorno datoteko"
+
 msgid "open issue"
 msgstr "odprto vprašanje"
 
+msgid "Contents"
+msgstr "Vsebina"
+
+msgid "previous page"
+msgstr "Prejšnja stran"
+
 msgid "Download notebook file"
 msgstr "Prenesite datoteko zvezka"
 
-msgid "Toggle navigation"
-msgstr "Preklopi navigacijo"
+msgid "Copyright"
+msgstr "avtorske pravice"
+
+msgid "Download this page"
+msgstr "Prenesite to stran"
 
 msgid "Source repository"
 msgstr "Izvorno skladišče"
 
-msgid "By the"
+msgid "By"
 msgstr "Avtor"
 
-msgid "next page"
-msgstr "Naslednja stran"
-
 msgid "repository"
 msgstr "odlagališče"
 
+msgid "Last updated on"
+msgstr "Nazadnje posodobljeno dne"
+
+msgid "Toggle navigation"
+msgstr "Preklopi navigacijo"
+
 msgid "Sphinx Book Theme"
 msgstr "Tema knjige Sphinx"
 
-msgid "Download source file"
-msgstr "Prenesite izvorno datoteko"
-
-msgid "Contents"
-msgstr "Vsebina"
+msgid "suggest edit"
+msgstr "predlagajte urejanje"
 
-msgid "By"
-msgstr "Avtor"
+msgid "Open an issue"
+msgstr "Odprite številko"
 
-msgid "Copyright"
-msgstr "avtorske pravice"
+msgid "Launch"
+msgstr "Kosilo"
 
 msgid "Fullscreen mode"
 msgstr "Celozaslonski način"
 
-msgid "Open an issue"
-msgstr "Odprite številko"
-
-msgid "previous page"
-msgstr "Prejšnja stran"
+msgid "Edit this page"
+msgstr "Uredite to stran"
 
-msgid "Download this page"
-msgstr "Prenesite to stran"
+msgid "By the"
+msgstr "Avtor"
 
-msgid "Theme by the"
-msgstr "Tema avtorja"
+msgid "next page"
+msgstr "Naslednja stran"
diff --git a/_static/locales/sr/LC_MESSAGES/booktheme.po b/_static/locales/sr/LC_MESSAGES/booktheme.po
index 1a712a1..773b8ad 100644
--- a/_static/locales/sr/LC_MESSAGES/booktheme.po
+++ b/_static/locales/sr/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: sr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "предложи уређивање"
-
-msgid "Last updated on"
-msgstr "Последње ажурирање"
-
-msgid "Edit this page"
-msgstr "Уредите ову страницу"
-
-msgid "Launch"
-msgstr "Лансирање"
-
 msgid "Print to PDF"
 msgstr "Испис у ПДФ"
 
+msgid "Theme by the"
+msgstr "Тхеме би"
+
+msgid "Download source file"
+msgstr "Преузми изворну датотеку"
+
 msgid "open issue"
 msgstr "отворено издање"
 
+msgid "Contents"
+msgstr "Садржај"
+
+msgid "previous page"
+msgstr "Претходна страница"
+
 msgid "Download notebook file"
 msgstr "Преузмите датотеку бележнице"
 
-msgid "Toggle navigation"
-msgstr "Укључи / искључи навигацију"
+msgid "Copyright"
+msgstr "Ауторско право"
+
+msgid "Download this page"
+msgstr "Преузмите ову страницу"
 
 msgid "Source repository"
 msgstr "Изворно спремиште"
 
-msgid "By the"
-msgstr "Од"
-
-msgid "next page"
-msgstr "Следећа страна"
+msgid "By"
+msgstr "Од стране"
 
 msgid "repository"
 msgstr "спремиште"
 
+msgid "Last updated on"
+msgstr "Последње ажурирање"
+
+msgid "Toggle navigation"
+msgstr "Укључи / искључи навигацију"
+
 msgid "Sphinx Book Theme"
 msgstr "Тема књиге Спхинк"
 
-msgid "Download source file"
-msgstr "Преузми изворну датотеку"
-
-msgid "Contents"
-msgstr "Садржај"
+msgid "suggest edit"
+msgstr "предложи уређивање"
 
-msgid "By"
-msgstr "Од стране"
+msgid "Open an issue"
+msgstr "Отворите издање"
 
-msgid "Copyright"
-msgstr "Ауторско право"
+msgid "Launch"
+msgstr "Лансирање"
 
 msgid "Fullscreen mode"
 msgstr "Режим целог екрана"
 
-msgid "Open an issue"
-msgstr "Отворите издање"
-
-msgid "previous page"
-msgstr "Претходна страница"
+msgid "Edit this page"
+msgstr "Уредите ову страницу"
 
-msgid "Download this page"
-msgstr "Преузмите ову страницу"
+msgid "By the"
+msgstr "Од"
 
-msgid "Theme by the"
-msgstr "Тхеме би"
+msgid "next page"
+msgstr "Следећа страна"
diff --git a/_static/locales/sv/LC_MESSAGES/booktheme.mo b/_static/locales/sv/LC_MESSAGES/booktheme.mo
index be951be..b07dc76 100644
Binary files a/_static/locales/sv/LC_MESSAGES/booktheme.mo and b/_static/locales/sv/LC_MESSAGES/booktheme.mo differ
diff --git a/_static/locales/sv/LC_MESSAGES/booktheme.po b/_static/locales/sv/LC_MESSAGES/booktheme.po
index 7d2b56d..bcac54c 100644
--- a/_static/locales/sv/LC_MESSAGES/booktheme.po
+++ b/_static/locales/sv/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: sv\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "föreslå redigering"
+msgid "Print to PDF"
+msgstr "Skriv ut till PDF"
 
-msgid "Last updated on"
-msgstr "Senast uppdaterad den"
+msgid "Theme by the"
+msgstr "Tema av"
 
-msgid "Edit this page"
-msgstr "Redigera den här sidan"
+msgid "Download source file"
+msgstr "Ladda ner källfil"
 
-msgid "Launch"
-msgstr "Lansera"
+msgid "open issue"
+msgstr "öppna problemrapport"
 
-msgid "Print to PDF"
-msgstr "Skriv ut till PDF"
+msgid "Contents"
+msgstr "Innehåll"
 
-msgid "open issue"
-msgstr "öppet problem"
+msgid "previous page"
+msgstr "föregående sida"
 
 msgid "Download notebook file"
-msgstr "Ladda ner anteckningsbokfilen"
+msgstr "Ladda ner notebook-fil"
 
-msgid "Toggle navigation"
-msgstr "Växla navigering"
+msgid "Copyright"
+msgstr "Upphovsrätt"
 
-msgid "Source repository"
-msgstr "Källförvar"
+msgid "Download this page"
+msgstr "Ladda ner den här sidan"
 
-msgid "By the"
-msgstr "Vid"
+msgid "Source repository"
+msgstr "Källkodsrepositorium"
 
-msgid "next page"
-msgstr "nästa sida"
+msgid "By"
+msgstr "Av"
 
 msgid "repository"
-msgstr "förvar"
+msgstr "repositorium"
 
-msgid "Sphinx Book Theme"
-msgstr "Sphinx boktema"
+msgid "Last updated on"
+msgstr "Senast uppdaterad den"
 
-msgid "Download source file"
-msgstr "Ladda ner källfil"
+msgid "Toggle navigation"
+msgstr "Växla navigering"
 
-msgid "Contents"
-msgstr "Innehåll"
+msgid "Sphinx Book Theme"
+msgstr "Sphinx Boktema"
 
-msgid "By"
-msgstr "Förbi"
+msgid "suggest edit"
+msgstr "föreslå ändring"
 
-msgid "Copyright"
-msgstr "upphovsrätt"
+msgid "Open an issue"
+msgstr "Öppna en problemrapport"
+
+msgid "Launch"
+msgstr "Öppna"
 
 msgid "Fullscreen mode"
 msgstr "Fullskärmsläge"
 
-msgid "Open an issue"
-msgstr "Öppna ett problem"
-
-msgid "previous page"
-msgstr "föregående sida"
+msgid "Edit this page"
+msgstr "Redigera den här sidan"
 
-msgid "Download this page"
-msgstr "Ladda ner den här sidan"
+msgid "By the"
+msgstr "Av den"
 
-msgid "Theme by the"
-msgstr "Tema av"
+msgid "next page"
+msgstr "nästa sida"
diff --git a/_static/locales/ta/LC_MESSAGES/booktheme.po b/_static/locales/ta/LC_MESSAGES/booktheme.po
index c75ffe1..b48bdfa 100644
--- a/_static/locales/ta/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ta/LC_MESSAGES/booktheme.po
@@ -8,59 +8,59 @@ msgstr ""
 "Language: ta\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "திருத்த பரிந்துரைக்கவும்"
-
-msgid "Last updated on"
-msgstr "கடைசியாக புதுப்பிக்கப்பட்டது"
-
-msgid "Edit this page"
-msgstr "இந்தப் பக்கத்தைத் திருத்தவும்"
-
-msgid "Launch"
-msgstr "தொடங்க"
-
 msgid "Print to PDF"
 msgstr "PDF இல் அச்சிடுக"
 
+msgid "Theme by the"
+msgstr "வழங்கிய தீம்"
+
+msgid "Download source file"
+msgstr "மூல கோப்பைப் பதிவிறக்குக"
+
 msgid "open issue"
 msgstr "திறந்த பிரச்சினை"
 
+msgid "previous page"
+msgstr "முந்தைய பக்கம்"
+
 msgid "Download notebook file"
 msgstr "நோட்புக் கோப்பைப் பதிவிறக்கவும்"
 
-msgid "Toggle navigation"
-msgstr "வழிசெலுத்தலை நிலைமாற்று"
+msgid "Copyright"
+msgstr "பதிப்புரிமை"
+
+msgid "Download this page"
+msgstr "இந்தப் பக்கத்தைப் பதிவிறக்கவும்"
 
 msgid "Source repository"
 msgstr "மூல களஞ்சியம்"
 
-msgid "By the"
-msgstr "மூலம்"
+msgid "By"
+msgstr "வழங்கியவர்"
 
-msgid "next page"
-msgstr "அடுத்த பக்கம்"
+msgid "Last updated on"
+msgstr "கடைசியாக புதுப்பிக்கப்பட்டது"
+
+msgid "Toggle navigation"
+msgstr "வழிசெலுத்தலை நிலைமாற்று"
 
 msgid "Sphinx Book Theme"
 msgstr "ஸ்பிங்க்ஸ் புத்தக தீம்"
 
-msgid "Download source file"
-msgstr "மூல கோப்பைப் பதிவிறக்குக"
-
-msgid "By"
-msgstr "வழங்கியவர்"
-
-msgid "Copyright"
-msgstr "பதிப்புரிமை"
+msgid "suggest edit"
+msgstr "திருத்த பரிந்துரைக்கவும்"
 
 msgid "Open an issue"
 msgstr "சிக்கலைத் திறக்கவும்"
 
-msgid "previous page"
-msgstr "முந்தைய பக்கம்"
+msgid "Launch"
+msgstr "தொடங்க"
 
-msgid "Download this page"
-msgstr "இந்தப் பக்கத்தைப் பதிவிறக்கவும்"
+msgid "Edit this page"
+msgstr "இந்தப் பக்கத்தைத் திருத்தவும்"
 
-msgid "Theme by the"
-msgstr "வழங்கிய தீம்"
+msgid "By the"
+msgstr "மூலம்"
+
+msgid "next page"
+msgstr "அடுத்த பக்கம்"
diff --git a/_static/locales/te/LC_MESSAGES/booktheme.po b/_static/locales/te/LC_MESSAGES/booktheme.po
index 2595c03..952278f 100644
--- a/_static/locales/te/LC_MESSAGES/booktheme.po
+++ b/_static/locales/te/LC_MESSAGES/booktheme.po
@@ -8,59 +8,59 @@ msgstr ""
 "Language: te\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "సవరించమని సూచించండి"
-
-msgid "Last updated on"
-msgstr "చివరిగా నవీకరించబడింది"
-
-msgid "Edit this page"
-msgstr "ఈ పేజీని సవరించండి"
-
-msgid "Launch"
-msgstr "ప్రారంభించండి"
-
 msgid "Print to PDF"
 msgstr "PDF కి ముద్రించండి"
 
+msgid "Theme by the"
+msgstr "ద్వారా థీమ్"
+
+msgid "Download source file"
+msgstr "మూల ఫైల్‌ను డౌన్‌లోడ్ చేయండి"
+
 msgid "open issue"
 msgstr "ఓపెన్ ఇష్యూ"
 
+msgid "previous page"
+msgstr "ముందు పేజి"
+
 msgid "Download notebook file"
 msgstr "నోట్బుక్ ఫైల్ను డౌన్లోడ్ చేయండి"
 
-msgid "Toggle navigation"
-msgstr "నావిగేషన్‌ను టోగుల్ చేయండి"
+msgid "Copyright"
+msgstr "కాపీరైట్"
+
+msgid "Download this page"
+msgstr "ఈ పేజీని డౌన్‌లోడ్ చేయండి"
 
 msgid "Source repository"
 msgstr "మూల రిపోజిటరీ"
 
-msgid "By the"
+msgid "By"
 msgstr "ద్వారా"
 
-msgid "next page"
-msgstr "తరువాతి పేజీ"
+msgid "Last updated on"
+msgstr "చివరిగా నవీకరించబడింది"
+
+msgid "Toggle navigation"
+msgstr "నావిగేషన్‌ను టోగుల్ చేయండి"
 
 msgid "Sphinx Book Theme"
 msgstr "సింహిక పుస్తక థీమ్"
 
-msgid "Download source file"
-msgstr "మూల ఫైల్‌ను డౌన్‌లోడ్ చేయండి"
-
-msgid "By"
-msgstr "ద్వారా"
-
-msgid "Copyright"
-msgstr "కాపీరైట్"
+msgid "suggest edit"
+msgstr "సవరించమని సూచించండి"
 
 msgid "Open an issue"
 msgstr "సమస్యను తెరవండి"
 
-msgid "previous page"
-msgstr "ముందు పేజి"
+msgid "Launch"
+msgstr "ప్రారంభించండి"
 
-msgid "Download this page"
-msgstr "ఈ పేజీని డౌన్‌లోడ్ చేయండి"
+msgid "Edit this page"
+msgstr "ఈ పేజీని సవరించండి"
 
-msgid "Theme by the"
-msgstr "ద్వారా థీమ్"
+msgid "By the"
+msgstr "ద్వారా"
+
+msgid "next page"
+msgstr "తరువాతి పేజీ"
diff --git a/_static/locales/tg/LC_MESSAGES/booktheme.po b/_static/locales/tg/LC_MESSAGES/booktheme.po
index 73cd30e..c33dc42 100644
--- a/_static/locales/tg/LC_MESSAGES/booktheme.po
+++ b/_static/locales/tg/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: tg\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "пешниҳод вироиш"
-
-msgid "Last updated on"
-msgstr "Last навсозӣ дар"
-
-msgid "Edit this page"
-msgstr "Ин саҳифаро таҳрир кунед"
-
-msgid "Launch"
-msgstr "Оғоз"
-
 msgid "Print to PDF"
 msgstr "Чоп ба PDF"
 
+msgid "Theme by the"
+msgstr "Мавзӯъи аз"
+
+msgid "Download source file"
+msgstr "Файли манбаъро зеркашӣ кунед"
+
 msgid "open issue"
 msgstr "барориши кушод"
 
+msgid "Contents"
+msgstr "Мундариҷа"
+
+msgid "previous page"
+msgstr "саҳифаи қаблӣ"
+
 msgid "Download notebook file"
 msgstr "Файли дафтарро зеркашӣ кунед"
 
-msgid "Toggle navigation"
-msgstr "Гузаришро иваз кунед"
+msgid "Copyright"
+msgstr "Ҳуқуқи муаллиф"
+
+msgid "Download this page"
+msgstr "Ин саҳифаро зеркашӣ кунед"
 
 msgid "Source repository"
 msgstr "Анбори манбаъ"
 
-msgid "By the"
+msgid "By"
 msgstr "Бо"
 
-msgid "next page"
-msgstr "саҳифаи оянда"
-
 msgid "repository"
 msgstr "анбор"
 
+msgid "Last updated on"
+msgstr "Last навсозӣ дар"
+
+msgid "Toggle navigation"
+msgstr "Гузаришро иваз кунед"
+
 msgid "Sphinx Book Theme"
 msgstr "Сфинкс Мавзӯи китоб"
 
-msgid "Download source file"
-msgstr "Файли манбаъро зеркашӣ кунед"
-
-msgid "Contents"
-msgstr "Мундариҷа"
+msgid "suggest edit"
+msgstr "пешниҳод вироиш"
 
-msgid "By"
-msgstr "Бо"
+msgid "Open an issue"
+msgstr "Масъаларо кушоед"
 
-msgid "Copyright"
-msgstr "Ҳуқуқи муаллиф"
+msgid "Launch"
+msgstr "Оғоз"
 
 msgid "Fullscreen mode"
 msgstr "Ҳолати экрани пурра"
 
-msgid "Open an issue"
-msgstr "Масъаларо кушоед"
-
-msgid "previous page"
-msgstr "саҳифаи қаблӣ"
+msgid "Edit this page"
+msgstr "Ин саҳифаро таҳрир кунед"
 
-msgid "Download this page"
-msgstr "Ин саҳифаро зеркашӣ кунед"
+msgid "By the"
+msgstr "Бо"
 
-msgid "Theme by the"
-msgstr "Мавзӯъи аз"
+msgid "next page"
+msgstr "саҳифаи оянда"
diff --git a/_static/locales/th/LC_MESSAGES/booktheme.po b/_static/locales/th/LC_MESSAGES/booktheme.po
index 0392b4a..9d24294 100644
--- a/_static/locales/th/LC_MESSAGES/booktheme.po
+++ b/_static/locales/th/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: th\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "แนะนำแก้ไข"
-
-msgid "Last updated on"
-msgstr "ปรับปรุงล่าสุดเมื่อ"
-
-msgid "Edit this page"
-msgstr "แก้ไขหน้านี้"
-
-msgid "Launch"
-msgstr "เปิด"
-
 msgid "Print to PDF"
 msgstr "พิมพ์เป็น PDF"
 
+msgid "Theme by the"
+msgstr "ธีมโดย"
+
+msgid "Download source file"
+msgstr "ดาวน์โหลดไฟล์ต้นฉบับ"
+
 msgid "open issue"
 msgstr "เปิดปัญหา"
 
+msgid "Contents"
+msgstr "สารบัญ"
+
+msgid "previous page"
+msgstr "หน้าที่แล้ว"
+
 msgid "Download notebook file"
 msgstr "ดาวน์โหลดไฟล์สมุดบันทึก"
 
-msgid "Toggle navigation"
-msgstr "ไม่ต้องสลับช่องทาง"
+msgid "Copyright"
+msgstr "ลิขสิทธิ์"
+
+msgid "Download this page"
+msgstr "ดาวน์โหลดหน้านี้"
 
 msgid "Source repository"
 msgstr "ที่เก็บซอร์ส"
 
-msgid "By the"
+msgid "By"
 msgstr "โดย"
 
-msgid "next page"
-msgstr "หน้าต่อไป"
-
 msgid "repository"
 msgstr "ที่เก็บ"
 
+msgid "Last updated on"
+msgstr "ปรับปรุงล่าสุดเมื่อ"
+
+msgid "Toggle navigation"
+msgstr "ไม่ต้องสลับช่องทาง"
+
 msgid "Sphinx Book Theme"
 msgstr "ธีมหนังสือสฟิงซ์"
 
-msgid "Download source file"
-msgstr "ดาวน์โหลดไฟล์ต้นฉบับ"
-
-msgid "Contents"
-msgstr "สารบัญ"
+msgid "suggest edit"
+msgstr "แนะนำแก้ไข"
 
-msgid "By"
-msgstr "โดย"
+msgid "Open an issue"
+msgstr "เปิดปัญหา"
 
-msgid "Copyright"
-msgstr "ลิขสิทธิ์"
+msgid "Launch"
+msgstr "เปิด"
 
 msgid "Fullscreen mode"
 msgstr "โหมดเต็มหน้าจอ"
 
-msgid "Open an issue"
-msgstr "เปิดปัญหา"
-
-msgid "previous page"
-msgstr "หน้าที่แล้ว"
+msgid "Edit this page"
+msgstr "แก้ไขหน้านี้"
 
-msgid "Download this page"
-msgstr "ดาวน์โหลดหน้านี้"
+msgid "By the"
+msgstr "โดย"
 
-msgid "Theme by the"
-msgstr "ธีมโดย"
+msgid "next page"
+msgstr "หน้าต่อไป"
diff --git a/_static/locales/tl/LC_MESSAGES/booktheme.po b/_static/locales/tl/LC_MESSAGES/booktheme.po
index c8375b5..20e0d07 100644
--- a/_static/locales/tl/LC_MESSAGES/booktheme.po
+++ b/_static/locales/tl/LC_MESSAGES/booktheme.po
@@ -8,59 +8,59 @@ msgstr ""
 "Language: tl\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "iminumungkahi i-edit"
-
-msgid "Last updated on"
-msgstr "Huling na-update noong"
-
-msgid "Edit this page"
-msgstr "I-edit ang pahinang ito"
-
-msgid "Launch"
-msgstr "Ilunsad"
-
 msgid "Print to PDF"
 msgstr "I-print sa PDF"
 
+msgid "Theme by the"
+msgstr "Tema ng"
+
+msgid "Download source file"
+msgstr "Mag-download ng file ng pinagmulan"
+
 msgid "open issue"
 msgstr "bukas na isyu"
 
+msgid "previous page"
+msgstr "Nakaraang pahina"
+
 msgid "Download notebook file"
 msgstr "Mag-download ng file ng notebook"
 
-msgid "Toggle navigation"
-msgstr "I-toggle ang pag-navigate"
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Download this page"
+msgstr "I-download ang pahinang ito"
 
 msgid "Source repository"
 msgstr "Pinagmulan ng imbakan"
 
-msgid "By the"
-msgstr "Sa pamamagitan ng"
+msgid "By"
+msgstr "Ni"
 
-msgid "next page"
-msgstr "Susunod na pahina"
+msgid "Last updated on"
+msgstr "Huling na-update noong"
+
+msgid "Toggle navigation"
+msgstr "I-toggle ang pag-navigate"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema ng Sphinx Book"
 
-msgid "Download source file"
-msgstr "Mag-download ng file ng pinagmulan"
-
-msgid "By"
-msgstr "Ni"
-
-msgid "Copyright"
-msgstr "Copyright"
+msgid "suggest edit"
+msgstr "iminumungkahi i-edit"
 
 msgid "Open an issue"
 msgstr "Magbukas ng isyu"
 
-msgid "previous page"
-msgstr "Nakaraang pahina"
+msgid "Launch"
+msgstr "Ilunsad"
 
-msgid "Download this page"
-msgstr "I-download ang pahinang ito"
+msgid "Edit this page"
+msgstr "I-edit ang pahinang ito"
 
-msgid "Theme by the"
-msgstr "Tema ng"
+msgid "By the"
+msgstr "Sa pamamagitan ng"
+
+msgid "next page"
+msgstr "Susunod na pahina"
diff --git a/_static/locales/tr/LC_MESSAGES/booktheme.po b/_static/locales/tr/LC_MESSAGES/booktheme.po
index 47d7bdf..a77eb02 100644
--- a/_static/locales/tr/LC_MESSAGES/booktheme.po
+++ b/_static/locales/tr/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: tr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "düzenleme öner"
-
-msgid "Last updated on"
-msgstr "Son güncelleme tarihi"
-
-msgid "Edit this page"
-msgstr "Bu sayfayı düzenle"
-
-msgid "Launch"
-msgstr "Başlatmak"
-
 msgid "Print to PDF"
 msgstr "PDF olarak yazdır"
 
+msgid "Theme by the"
+msgstr "Tarafından tema"
+
+msgid "Download source file"
+msgstr "Kaynak dosyayı indirin"
+
 msgid "open issue"
 msgstr "Açık konu"
 
+msgid "Contents"
+msgstr "İçindekiler"
+
+msgid "previous page"
+msgstr "önceki sayfa"
+
 msgid "Download notebook file"
 msgstr "Defter dosyasını indirin"
 
-msgid "Toggle navigation"
-msgstr "Gezinmeyi değiştir"
+msgid "Copyright"
+msgstr "Telif hakkı"
+
+msgid "Download this page"
+msgstr "Bu sayfayı indirin"
 
 msgid "Source repository"
 msgstr "Kaynak kod deposu"
 
-msgid "By the"
+msgid "By"
 msgstr "Tarafından"
 
-msgid "next page"
-msgstr "sonraki Sayfa"
-
 msgid "repository"
 msgstr "depo"
 
+msgid "Last updated on"
+msgstr "Son güncelleme tarihi"
+
+msgid "Toggle navigation"
+msgstr "Gezinmeyi değiştir"
+
 msgid "Sphinx Book Theme"
 msgstr "Sfenks Kitap Teması"
 
-msgid "Download source file"
-msgstr "Kaynak dosyayı indirin"
-
-msgid "Contents"
-msgstr "İçindekiler"
+msgid "suggest edit"
+msgstr "düzenleme öner"
 
-msgid "By"
-msgstr "Tarafından"
+msgid "Open an issue"
+msgstr "Bir sorunu açın"
 
-msgid "Copyright"
-msgstr "Telif hakkı"
+msgid "Launch"
+msgstr "Başlatmak"
 
 msgid "Fullscreen mode"
 msgstr "Tam ekran modu"
 
-msgid "Open an issue"
-msgstr "Bir sorunu açın"
-
-msgid "previous page"
-msgstr "önceki sayfa"
+msgid "Edit this page"
+msgstr "Bu sayfayı düzenle"
 
-msgid "Download this page"
-msgstr "Bu sayfayı indirin"
+msgid "By the"
+msgstr "Tarafından"
 
-msgid "Theme by the"
-msgstr "Tarafından tema"
+msgid "next page"
+msgstr "sonraki Sayfa"
diff --git a/_static/locales/uk/LC_MESSAGES/booktheme.po b/_static/locales/uk/LC_MESSAGES/booktheme.po
index e85f6f1..993dd07 100644
--- a/_static/locales/uk/LC_MESSAGES/booktheme.po
+++ b/_static/locales/uk/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: uk\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "запропонувати редагувати"
-
-msgid "Last updated on"
-msgstr "Останнє оновлення:"
-
-msgid "Edit this page"
-msgstr "Редагувати цю сторінку"
-
-msgid "Launch"
-msgstr "Запуск"
-
 msgid "Print to PDF"
 msgstr "Друк у форматі PDF"
 
+msgid "Theme by the"
+msgstr "Тема від"
+
+msgid "Download source file"
+msgstr "Завантажити вихідний файл"
+
 msgid "open issue"
 msgstr "відкритий випуск"
 
+msgid "Contents"
+msgstr "Зміст"
+
+msgid "previous page"
+msgstr "Попередня сторінка"
+
 msgid "Download notebook file"
 msgstr "Завантажте файл блокнота"
 
-msgid "Toggle navigation"
-msgstr "Переключити навігацію"
+msgid "Copyright"
+msgstr "Авторське право"
+
+msgid "Download this page"
+msgstr "Завантажте цю сторінку"
 
 msgid "Source repository"
 msgstr "Джерело сховища"
 
-msgid "By the"
-msgstr "По"
-
-msgid "next page"
-msgstr "Наступна сторінка"
+msgid "By"
+msgstr "Автор"
 
 msgid "repository"
 msgstr "сховище"
 
+msgid "Last updated on"
+msgstr "Останнє оновлення:"
+
+msgid "Toggle navigation"
+msgstr "Переключити навігацію"
+
 msgid "Sphinx Book Theme"
 msgstr "Тема книги \"Сфінкс\""
 
-msgid "Download source file"
-msgstr "Завантажити вихідний файл"
-
-msgid "Contents"
-msgstr "Зміст"
+msgid "suggest edit"
+msgstr "запропонувати редагувати"
 
-msgid "By"
-msgstr "Автор"
+msgid "Open an issue"
+msgstr "Відкрийте випуск"
 
-msgid "Copyright"
-msgstr "Авторське право"
+msgid "Launch"
+msgstr "Запуск"
 
 msgid "Fullscreen mode"
 msgstr "Повноекранний режим"
 
-msgid "Open an issue"
-msgstr "Відкрийте випуск"
-
-msgid "previous page"
-msgstr "Попередня сторінка"
+msgid "Edit this page"
+msgstr "Редагувати цю сторінку"
 
-msgid "Download this page"
-msgstr "Завантажте цю сторінку"
+msgid "By the"
+msgstr "По"
 
-msgid "Theme by the"
-msgstr "Тема від"
+msgid "next page"
+msgstr "Наступна сторінка"
diff --git a/_static/locales/ur/LC_MESSAGES/booktheme.po b/_static/locales/ur/LC_MESSAGES/booktheme.po
index 0f90726..2f77426 100644
--- a/_static/locales/ur/LC_MESSAGES/booktheme.po
+++ b/_static/locales/ur/LC_MESSAGES/booktheme.po
@@ -8,59 +8,59 @@ msgstr ""
 "Language: ur\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "ترمیم کی تجویز کریں"
-
-msgid "Last updated on"
-msgstr "آخری بار تازہ کاری ہوئی"
-
-msgid "Edit this page"
-msgstr "اس صفحے میں ترمیم کریں"
-
-msgid "Launch"
-msgstr "لانچ کریں"
-
 msgid "Print to PDF"
 msgstr "پی ڈی ایف پرنٹ کریں"
 
+msgid "Theme by the"
+msgstr "کے ذریعہ تھیم"
+
+msgid "Download source file"
+msgstr "سورس فائل ڈاؤن لوڈ کریں"
+
 msgid "open issue"
 msgstr "کھلا مسئلہ"
 
+msgid "previous page"
+msgstr "سابقہ ​​صفحہ"
+
 msgid "Download notebook file"
 msgstr "نوٹ بک فائل ڈاؤن لوڈ کریں"
 
-msgid "Toggle navigation"
-msgstr "نیویگیشن ٹوگل کریں"
+msgid "Copyright"
+msgstr "کاپی رائٹ"
+
+msgid "Download this page"
+msgstr "اس صفحے کو ڈاؤن لوڈ کریں"
 
 msgid "Source repository"
 msgstr "ماخذ ذخیرہ"
 
-msgid "By the"
-msgstr "کی طرف"
+msgid "By"
+msgstr "بذریعہ"
 
-msgid "next page"
-msgstr "اگلا صفحہ"
+msgid "Last updated on"
+msgstr "آخری بار تازہ کاری ہوئی"
+
+msgid "Toggle navigation"
+msgstr "نیویگیشن ٹوگل کریں"
 
 msgid "Sphinx Book Theme"
 msgstr "سپنکس بک تھیم"
 
-msgid "Download source file"
-msgstr "سورس فائل ڈاؤن لوڈ کریں"
-
-msgid "By"
-msgstr "بذریعہ"
-
-msgid "Copyright"
-msgstr "کاپی رائٹ"
+msgid "suggest edit"
+msgstr "ترمیم کی تجویز کریں"
 
 msgid "Open an issue"
 msgstr "ایک مسئلہ کھولیں"
 
-msgid "previous page"
-msgstr "سابقہ ​​صفحہ"
+msgid "Launch"
+msgstr "لانچ کریں"
 
-msgid "Download this page"
-msgstr "اس صفحے کو ڈاؤن لوڈ کریں"
+msgid "Edit this page"
+msgstr "اس صفحے میں ترمیم کریں"
 
-msgid "Theme by the"
-msgstr "کے ذریعہ تھیم"
+msgid "By the"
+msgstr "کی طرف"
+
+msgid "next page"
+msgstr "اگلا صفحہ"
diff --git a/_static/locales/vi/LC_MESSAGES/booktheme.po b/_static/locales/vi/LC_MESSAGES/booktheme.po
index 2cb5cf3..33159f3 100644
--- a/_static/locales/vi/LC_MESSAGES/booktheme.po
+++ b/_static/locales/vi/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: vi\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "đề nghị chỉnh sửa"
-
-msgid "Last updated on"
-msgstr "Cập nhật lần cuối vào"
-
-msgid "Edit this page"
-msgstr "chỉnh sửa trang này"
-
-msgid "Launch"
-msgstr "Phóng"
-
 msgid "Print to PDF"
 msgstr "In sang PDF"
 
+msgid "Theme by the"
+msgstr "Chủ đề của"
+
+msgid "Download source file"
+msgstr "Tải xuống tệp nguồn"
+
 msgid "open issue"
 msgstr "vấn đề mở"
 
+msgid "Contents"
+msgstr "Nội dung"
+
+msgid "previous page"
+msgstr "trang trước"
+
 msgid "Download notebook file"
 msgstr "Tải xuống tệp sổ tay"
 
-msgid "Toggle navigation"
-msgstr "Chuyển đổi điều hướng thành"
+msgid "Copyright"
+msgstr "Bản quyền"
+
+msgid "Download this page"
+msgstr "Tải xuống trang này"
 
 msgid "Source repository"
 msgstr "Kho nguồn"
 
-msgid "By the"
-msgstr "Bằng"
-
-msgid "next page"
-msgstr "Trang tiếp theo"
+msgid "By"
+msgstr "Bởi"
 
 msgid "repository"
 msgstr "kho"
 
+msgid "Last updated on"
+msgstr "Cập nhật lần cuối vào"
+
+msgid "Toggle navigation"
+msgstr "Chuyển đổi điều hướng thành"
+
 msgid "Sphinx Book Theme"
 msgstr "Chủ đề sách nhân sư"
 
-msgid "Download source file"
-msgstr "Tải xuống tệp nguồn"
-
-msgid "Contents"
-msgstr "Nội dung"
+msgid "suggest edit"
+msgstr "đề nghị chỉnh sửa"
 
-msgid "By"
-msgstr "Bởi"
+msgid "Open an issue"
+msgstr "Mở một vấn đề"
 
-msgid "Copyright"
-msgstr "Bản quyền"
+msgid "Launch"
+msgstr "Phóng"
 
 msgid "Fullscreen mode"
 msgstr "Chế độ toàn màn hình"
 
-msgid "Open an issue"
-msgstr "Mở một vấn đề"
-
-msgid "previous page"
-msgstr "trang trước"
+msgid "Edit this page"
+msgstr "chỉnh sửa trang này"
 
-msgid "Download this page"
-msgstr "Tải xuống trang này"
+msgid "By the"
+msgstr "Bằng"
 
-msgid "Theme by the"
-msgstr "Chủ đề của"
+msgid "next page"
+msgstr "Trang tiếp theo"
diff --git a/_static/locales/zh_CN/LC_MESSAGES/booktheme.po b/_static/locales/zh_CN/LC_MESSAGES/booktheme.po
index f91f3ba..2e519ef 100644
--- a/_static/locales/zh_CN/LC_MESSAGES/booktheme.po
+++ b/_static/locales/zh_CN/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: zh_CN\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "提出修改建议"
-
-msgid "Last updated on"
-msgstr "上次更新时间："
-
-msgid "Edit this page"
-msgstr "编辑此页面"
-
-msgid "Launch"
-msgstr "启动"
-
 msgid "Print to PDF"
 msgstr "列印成 PDF"
 
+msgid "Theme by the"
+msgstr "主题作者："
+
+msgid "Download source file"
+msgstr "下载源文件"
+
 msgid "open issue"
 msgstr "创建议题"
 
+msgid "Contents"
+msgstr "目录"
+
+msgid "previous page"
+msgstr "上一页"
+
 msgid "Download notebook file"
 msgstr "下载笔记本文件"
 
-msgid "Toggle navigation"
-msgstr "显示或隐藏导航栏"
+msgid "Copyright"
+msgstr "版权"
+
+msgid "Download this page"
+msgstr "下载此页面"
 
 msgid "Source repository"
 msgstr "源码库"
 
-msgid "By the"
+msgid "By"
 msgstr "作者："
 
-msgid "next page"
-msgstr "下一页"
-
 msgid "repository"
 msgstr "仓库"
 
+msgid "Last updated on"
+msgstr "上次更新时间："
+
+msgid "Toggle navigation"
+msgstr "显示或隐藏导航栏"
+
 msgid "Sphinx Book Theme"
 msgstr "Sphinx Book 主题"
 
-msgid "Download source file"
-msgstr "下载源文件"
-
-msgid "Contents"
-msgstr "目录"
+msgid "suggest edit"
+msgstr "提出修改建议"
 
-msgid "By"
-msgstr "作者："
+msgid "Open an issue"
+msgstr "创建议题"
 
-msgid "Copyright"
-msgstr "版权"
+msgid "Launch"
+msgstr "启动"
 
 msgid "Fullscreen mode"
 msgstr "全屏模式"
 
-msgid "Open an issue"
-msgstr "创建议题"
-
-msgid "previous page"
-msgstr "上一页"
+msgid "Edit this page"
+msgstr "编辑此页面"
 
-msgid "Download this page"
-msgstr "下载此页面"
+msgid "By the"
+msgstr "作者："
 
-msgid "Theme by the"
-msgstr "主题作者："
+msgid "next page"
+msgstr "下一页"
diff --git a/_static/locales/zh_TW/LC_MESSAGES/booktheme.po b/_static/locales/zh_TW/LC_MESSAGES/booktheme.po
index 7833d90..beecb07 100644
--- a/_static/locales/zh_TW/LC_MESSAGES/booktheme.po
+++ b/_static/locales/zh_TW/LC_MESSAGES/booktheme.po
@@ -8,68 +8,68 @@ msgstr ""
 "Language: zh_TW\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "suggest edit"
-msgstr "提出修改建議"
-
-msgid "Last updated on"
-msgstr "最後更新時間："
-
-msgid "Edit this page"
-msgstr "編輯此頁面"
-
-msgid "Launch"
-msgstr "啟動"
-
 msgid "Print to PDF"
 msgstr "列印成 PDF"
 
+msgid "Theme by the"
+msgstr "佈景主題作者："
+
+msgid "Download source file"
+msgstr "下載原始檔"
+
 msgid "open issue"
 msgstr "公開的問題"
 
+msgid "Contents"
+msgstr "目錄"
+
+msgid "previous page"
+msgstr "上一頁"
+
 msgid "Download notebook file"
 msgstr "下載 Notebook 檔案"
 
-msgid "Toggle navigation"
-msgstr "顯示或隱藏導覽列"
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Download this page"
+msgstr "下載此頁面"
 
 msgid "Source repository"
 msgstr "來源儲存庫"
 
-msgid "By the"
+msgid "By"
 msgstr "作者："
 
-msgid "next page"
-msgstr "下一頁"
-
 msgid "repository"
 msgstr "儲存庫"
 
+msgid "Last updated on"
+msgstr "最後更新時間："
+
+msgid "Toggle navigation"
+msgstr "顯示或隱藏導覽列"
+
 msgid "Sphinx Book Theme"
 msgstr "Sphinx Book 佈景主題"
 
-msgid "Download source file"
-msgstr "下載原始檔"
-
-msgid "Contents"
-msgstr "目錄"
+msgid "suggest edit"
+msgstr "提出修改建議"
 
-msgid "By"
-msgstr "作者："
+msgid "Open an issue"
+msgstr "開啟議題"
 
-msgid "Copyright"
-msgstr "Copyright"
+msgid "Launch"
+msgstr "啟動"
 
 msgid "Fullscreen mode"
 msgstr "全螢幕模式"
 
-msgid "Open an issue"
-msgstr "開啟議題"
-
-msgid "previous page"
-msgstr "上一頁"
+msgid "Edit this page"
+msgstr "編輯此頁面"
 
-msgid "Download this page"
-msgstr "下載此頁面"
+msgid "By the"
+msgstr "作者："
 
-msgid "Theme by the"
-msgstr "佈景主題作者："
+msgid "next page"
+msgstr "下一頁"
diff --git a/_static/pygments.css b/_static/pygments.css
index 997797f..012e6a0 100644
--- a/_static/pygments.css
+++ b/_static/pygments.css
@@ -3,77 +3,77 @@ html[data-theme="light"] .highlight td.linenos .normal { color: inherit; backgro
 html[data-theme="light"] .highlight span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
 html[data-theme="light"] .highlight td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
 html[data-theme="light"] .highlight span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
-html[data-theme="light"] .highlight .hll { background-color: #7971292e }
-html[data-theme="light"] .highlight { background: #fefefe; color: #545454 }
-html[data-theme="light"] .highlight .c { color: #797129 } /* Comment */
-html[data-theme="light"] .highlight .err { color: #d91e18 } /* Error */
-html[data-theme="light"] .highlight .k { color: #7928a1 } /* Keyword */
-html[data-theme="light"] .highlight .l { color: #797129 } /* Literal */
-html[data-theme="light"] .highlight .n { color: #545454 } /* Name */
-html[data-theme="light"] .highlight .o { color: #008000 } /* Operator */
-html[data-theme="light"] .highlight .p { color: #545454 } /* Punctuation */
-html[data-theme="light"] .highlight .ch { color: #797129 } /* Comment.Hashbang */
-html[data-theme="light"] .highlight .cm { color: #797129 } /* Comment.Multiline */
-html[data-theme="light"] .highlight .cp { color: #797129 } /* Comment.Preproc */
-html[data-theme="light"] .highlight .cpf { color: #797129 } /* Comment.PreprocFile */
-html[data-theme="light"] .highlight .c1 { color: #797129 } /* Comment.Single */
-html[data-theme="light"] .highlight .cs { color: #797129 } /* Comment.Special */
-html[data-theme="light"] .highlight .gd { color: #007faa } /* Generic.Deleted */
+html[data-theme="light"] .highlight .hll { background-color: #fae4c2 }
+html[data-theme="light"] .highlight { background: #fefefe; color: #080808 }
+html[data-theme="light"] .highlight .c { color: #515151 } /* Comment */
+html[data-theme="light"] .highlight .err { color: #a12236 } /* Error */
+html[data-theme="light"] .highlight .k { color: #6730c5 } /* Keyword */
+html[data-theme="light"] .highlight .l { color: #7f4707 } /* Literal */
+html[data-theme="light"] .highlight .n { color: #080808 } /* Name */
+html[data-theme="light"] .highlight .o { color: #00622f } /* Operator */
+html[data-theme="light"] .highlight .p { color: #080808 } /* Punctuation */
+html[data-theme="light"] .highlight .ch { color: #515151 } /* Comment.Hashbang */
+html[data-theme="light"] .highlight .cm { color: #515151 } /* Comment.Multiline */
+html[data-theme="light"] .highlight .cp { color: #515151 } /* Comment.Preproc */
+html[data-theme="light"] .highlight .cpf { color: #515151 } /* Comment.PreprocFile */
+html[data-theme="light"] .highlight .c1 { color: #515151 } /* Comment.Single */
+html[data-theme="light"] .highlight .cs { color: #515151 } /* Comment.Special */
+html[data-theme="light"] .highlight .gd { color: #005b82 } /* Generic.Deleted */
 html[data-theme="light"] .highlight .ge { font-style: italic } /* Generic.Emph */
-html[data-theme="light"] .highlight .gh { color: #007faa } /* Generic.Heading */
+html[data-theme="light"] .highlight .gh { color: #005b82 } /* Generic.Heading */
 html[data-theme="light"] .highlight .gs { font-weight: bold } /* Generic.Strong */
-html[data-theme="light"] .highlight .gu { color: #007faa } /* Generic.Subheading */
-html[data-theme="light"] .highlight .kc { color: #7928a1 } /* Keyword.Constant */
-html[data-theme="light"] .highlight .kd { color: #7928a1 } /* Keyword.Declaration */
-html[data-theme="light"] .highlight .kn { color: #7928a1 } /* Keyword.Namespace */
-html[data-theme="light"] .highlight .kp { color: #7928a1 } /* Keyword.Pseudo */
-html[data-theme="light"] .highlight .kr { color: #7928a1 } /* Keyword.Reserved */
-html[data-theme="light"] .highlight .kt { color: #797129 } /* Keyword.Type */
-html[data-theme="light"] .highlight .ld { color: #797129 } /* Literal.Date */
-html[data-theme="light"] .highlight .m { color: #797129 } /* Literal.Number */
-html[data-theme="light"] .highlight .s { color: #008000 } /* Literal.String */
-html[data-theme="light"] .highlight .na { color: #797129 } /* Name.Attribute */
-html[data-theme="light"] .highlight .nb { color: #797129 } /* Name.Builtin */
-html[data-theme="light"] .highlight .nc { color: #007faa } /* Name.Class */
-html[data-theme="light"] .highlight .no { color: #007faa } /* Name.Constant */
-html[data-theme="light"] .highlight .nd { color: #797129 } /* Name.Decorator */
-html[data-theme="light"] .highlight .ni { color: #008000 } /* Name.Entity */
-html[data-theme="light"] .highlight .ne { color: #7928a1 } /* Name.Exception */
-html[data-theme="light"] .highlight .nf { color: #007faa } /* Name.Function */
-html[data-theme="light"] .highlight .nl { color: #797129 } /* Name.Label */
-html[data-theme="light"] .highlight .nn { color: #545454 } /* Name.Namespace */
-html[data-theme="light"] .highlight .nx { color: #545454 } /* Name.Other */
-html[data-theme="light"] .highlight .py { color: #007faa } /* Name.Property */
-html[data-theme="light"] .highlight .nt { color: #007faa } /* Name.Tag */
-html[data-theme="light"] .highlight .nv { color: #d91e18 } /* Name.Variable */
-html[data-theme="light"] .highlight .ow { color: #7928a1 } /* Operator.Word */
-html[data-theme="light"] .highlight .pm { color: #545454 } /* Punctuation.Marker */
-html[data-theme="light"] .highlight .w { color: #545454 } /* Text.Whitespace */
-html[data-theme="light"] .highlight .mb { color: #797129 } /* Literal.Number.Bin */
-html[data-theme="light"] .highlight .mf { color: #797129 } /* Literal.Number.Float */
-html[data-theme="light"] .highlight .mh { color: #797129 } /* Literal.Number.Hex */
-html[data-theme="light"] .highlight .mi { color: #797129 } /* Literal.Number.Integer */
-html[data-theme="light"] .highlight .mo { color: #797129 } /* Literal.Number.Oct */
-html[data-theme="light"] .highlight .sa { color: #008000 } /* Literal.String.Affix */
-html[data-theme="light"] .highlight .sb { color: #008000 } /* Literal.String.Backtick */
-html[data-theme="light"] .highlight .sc { color: #008000 } /* Literal.String.Char */
-html[data-theme="light"] .highlight .dl { color: #008000 } /* Literal.String.Delimiter */
-html[data-theme="light"] .highlight .sd { color: #008000 } /* Literal.String.Doc */
-html[data-theme="light"] .highlight .s2 { color: #008000 } /* Literal.String.Double */
-html[data-theme="light"] .highlight .se { color: #008000 } /* Literal.String.Escape */
-html[data-theme="light"] .highlight .sh { color: #008000 } /* Literal.String.Heredoc */
-html[data-theme="light"] .highlight .si { color: #008000 } /* Literal.String.Interpol */
-html[data-theme="light"] .highlight .sx { color: #008000 } /* Literal.String.Other */
-html[data-theme="light"] .highlight .sr { color: #d91e18 } /* Literal.String.Regex */
-html[data-theme="light"] .highlight .s1 { color: #008000 } /* Literal.String.Single */
-html[data-theme="light"] .highlight .ss { color: #007faa } /* Literal.String.Symbol */
-html[data-theme="light"] .highlight .bp { color: #797129 } /* Name.Builtin.Pseudo */
-html[data-theme="light"] .highlight .fm { color: #007faa } /* Name.Function.Magic */
-html[data-theme="light"] .highlight .vc { color: #d91e18 } /* Name.Variable.Class */
-html[data-theme="light"] .highlight .vg { color: #d91e18 } /* Name.Variable.Global */
-html[data-theme="light"] .highlight .vi { color: #d91e18 } /* Name.Variable.Instance */
-html[data-theme="light"] .highlight .vm { color: #797129 } /* Name.Variable.Magic */
-html[data-theme="light"] .highlight .il { color: #797129 } /* Literal.Number.Integer.Long */
+html[data-theme="light"] .highlight .gu { color: #005b82 } /* Generic.Subheading */
+html[data-theme="light"] .highlight .kc { color: #6730c5 } /* Keyword.Constant */
+html[data-theme="light"] .highlight .kd { color: #6730c5 } /* Keyword.Declaration */
+html[data-theme="light"] .highlight .kn { color: #6730c5 } /* Keyword.Namespace */
+html[data-theme="light"] .highlight .kp { color: #6730c5 } /* Keyword.Pseudo */
+html[data-theme="light"] .highlight .kr { color: #6730c5 } /* Keyword.Reserved */
+html[data-theme="light"] .highlight .kt { color: #7f4707 } /* Keyword.Type */
+html[data-theme="light"] .highlight .ld { color: #7f4707 } /* Literal.Date */
+html[data-theme="light"] .highlight .m { color: #7f4707 } /* Literal.Number */
+html[data-theme="light"] .highlight .s { color: #00622f } /* Literal.String */
+html[data-theme="light"] .highlight .na { color: #912583 } /* Name.Attribute */
+html[data-theme="light"] .highlight .nb { color: #7f4707 } /* Name.Builtin */
+html[data-theme="light"] .highlight .nc { color: #005b82 } /* Name.Class */
+html[data-theme="light"] .highlight .no { color: #005b82 } /* Name.Constant */
+html[data-theme="light"] .highlight .nd { color: #7f4707 } /* Name.Decorator */
+html[data-theme="light"] .highlight .ni { color: #00622f } /* Name.Entity */
+html[data-theme="light"] .highlight .ne { color: #6730c5 } /* Name.Exception */
+html[data-theme="light"] .highlight .nf { color: #005b82 } /* Name.Function */
+html[data-theme="light"] .highlight .nl { color: #7f4707 } /* Name.Label */
+html[data-theme="light"] .highlight .nn { color: #080808 } /* Name.Namespace */
+html[data-theme="light"] .highlight .nx { color: #080808 } /* Name.Other */
+html[data-theme="light"] .highlight .py { color: #005b82 } /* Name.Property */
+html[data-theme="light"] .highlight .nt { color: #005b82 } /* Name.Tag */
+html[data-theme="light"] .highlight .nv { color: #a12236 } /* Name.Variable */
+html[data-theme="light"] .highlight .ow { color: #6730c5 } /* Operator.Word */
+html[data-theme="light"] .highlight .pm { color: #080808 } /* Punctuation.Marker */
+html[data-theme="light"] .highlight .w { color: #080808 } /* Text.Whitespace */
+html[data-theme="light"] .highlight .mb { color: #7f4707 } /* Literal.Number.Bin */
+html[data-theme="light"] .highlight .mf { color: #7f4707 } /* Literal.Number.Float */
+html[data-theme="light"] .highlight .mh { color: #7f4707 } /* Literal.Number.Hex */
+html[data-theme="light"] .highlight .mi { color: #7f4707 } /* Literal.Number.Integer */
+html[data-theme="light"] .highlight .mo { color: #7f4707 } /* Literal.Number.Oct */
+html[data-theme="light"] .highlight .sa { color: #00622f } /* Literal.String.Affix */
+html[data-theme="light"] .highlight .sb { color: #00622f } /* Literal.String.Backtick */
+html[data-theme="light"] .highlight .sc { color: #00622f } /* Literal.String.Char */
+html[data-theme="light"] .highlight .dl { color: #00622f } /* Literal.String.Delimiter */
+html[data-theme="light"] .highlight .sd { color: #00622f } /* Literal.String.Doc */
+html[data-theme="light"] .highlight .s2 { color: #00622f } /* Literal.String.Double */
+html[data-theme="light"] .highlight .se { color: #00622f } /* Literal.String.Escape */
+html[data-theme="light"] .highlight .sh { color: #00622f } /* Literal.String.Heredoc */
+html[data-theme="light"] .highlight .si { color: #00622f } /* Literal.String.Interpol */
+html[data-theme="light"] .highlight .sx { color: #00622f } /* Literal.String.Other */
+html[data-theme="light"] .highlight .sr { color: #a12236 } /* Literal.String.Regex */
+html[data-theme="light"] .highlight .s1 { color: #00622f } /* Literal.String.Single */
+html[data-theme="light"] .highlight .ss { color: #005b82 } /* Literal.String.Symbol */
+html[data-theme="light"] .highlight .bp { color: #7f4707 } /* Name.Builtin.Pseudo */
+html[data-theme="light"] .highlight .fm { color: #005b82 } /* Name.Function.Magic */
+html[data-theme="light"] .highlight .vc { color: #a12236 } /* Name.Variable.Class */
+html[data-theme="light"] .highlight .vg { color: #a12236 } /* Name.Variable.Global */
+html[data-theme="light"] .highlight .vi { color: #a12236 } /* Name.Variable.Instance */
+html[data-theme="light"] .highlight .vm { color: #7f4707 } /* Name.Variable.Magic */
+html[data-theme="light"] .highlight .il { color: #7f4707 } /* Literal.Number.Integer.Long */
 html[data-theme="dark"] .highlight pre { line-height: 125%; }
 html[data-theme="dark"] .highlight td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
 html[data-theme="dark"] .highlight span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
diff --git a/_static/scripts/bootstrap.js b/_static/scripts/bootstrap.js
index 766173a..c8178de 100644
--- a/_static/scripts/bootstrap.js
+++ b/_static/scripts/bootstrap.js
@@ -1,3 +1,3 @@
 /*! For license information please see bootstrap.js.LICENSE.txt */
-(()=>{"use strict";var t={d:(e,i)=>{for(var n in i)t.o(i,n)&&!t.o(e,n)&&Object.defineProperty(e,n,{enumerable:!0,get:i[n]})},o:(t,e)=>Object.prototype.hasOwnProperty.call(t,e),r:t=>{"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(t,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(t,"__esModule",{value:!0})}},e={};t.r(e),t.d(e,{afterMain:()=>w,afterRead:()=>b,afterWrite:()=>C,applyStyles:()=>$,arrow:()=>G,auto:()=>r,basePlacements:()=>a,beforeMain:()=>v,beforeRead:()=>m,beforeWrite:()=>A,bottom:()=>n,clippingParents:()=>h,computeStyles:()=>et,createPopper:()=>Dt,createPopperBase:()=>Lt,createPopperLite:()=>$t,detectOverflow:()=>mt,end:()=>c,eventListeners:()=>nt,flip:()=>_t,hide:()=>yt,left:()=>o,main:()=>y,modifierPhases:()=>T,offset:()=>wt,placements:()=>g,popper:()=>d,popperGenerator:()=>kt,popperOffsets:()=>At,preventOverflow:()=>Et,read:()=>_,reference:()=>f,right:()=>s,start:()=>l,top:()=>i,variationPlacements:()=>p,viewport:()=>u,write:()=>E});var 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NAME(){return"carousel"}next(){this._slide(Fe)}nextWhenVisible(){!document.hidden&&Wt(this._element)&&this.next()}prev(){this._slide(Be)}pause(){this._isSliding&&jt(this._element),this._clearInterval()}cycle(){this._clearInterval(),this._updateInterval(),this._interval=setInterval((()=>this.nextWhenVisible()),this._config.interval)}_maybeEnableCycle(){this._config.ride&&(this._isSliding?de.one(this._element,Ve,(()=>this.cycle())):this.cycle())}to(t){const e=this._getItems();if(t>e.length-1||t<0)return;if(this._isSliding)return void de.one(this._element,Ve,(()=>this.to(t)));const i=this._getItemIndex(this._getActive());if(i===t)return;const n=t>i?Fe:Be;this._slide(n,e[t])}dispose(){this._swipeHelper&&this._swipeHelper.dispose(),super.dispose()}_configAfterMerge(t){return 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this._getItems().indexOf(t)}_setActiveIndicatorElement(t){if(!this._indicatorsElement)return;const e=ke.findOne(ti,this._indicatorsElement);e.classList.remove(Ze),e.removeAttribute("aria-current");const i=ke.findOne(`[data-bs-slide-to="${t}"]`,this._indicatorsElement);i&&(i.classList.add(Ze),i.setAttribute("aria-current","true"))}_updateInterval(){const t=this._activeElement||this._getActive();if(!t)return;const e=Number.parseInt(t.getAttribute("data-bs-interval"),10);this._config.interval=e||this._config.defaultInterval}_slide(t,e=null){if(this._isSliding)return;const i=this._getActive(),n=t===Fe,s=e||Ut(this._getItems(),i,n,this._config.wrap);if(s===i)return;const o=this._getItemIndex(s),r=e=>de.trigger(this._element,e,{relatedTarget:s,direction:this._orderToDirection(t),from:this._getItemIndex(i),to:o});if(r(Re).defaultPrevented)return;if(!i||!s)return;const a=Boolean(this._interval);this.pause(),this._isSliding=!0,this._setActiveIndicatorElement(o),this._activeElement=s;const l=n?"carousel-item-start":"carousel-item-end",c=n?"carousel-item-next":"carousel-item-prev";s.classList.add(c),qt(s),i.classList.add(l),s.classList.add(l),this._queueCallback((()=>{s.classList.remove(l,c),s.classList.add(Ze),i.classList.remove(Ze,c,l),this._isSliding=!1,r(Ve)}),i,this._isAnimated()),a&&this.cycle()}_isAnimated(){return this._element.classList.contains("slide")}_getActive(){return ke.findOne(ii,this._element)}_getItems(){return ke.find(ei,this._element)}_clearInterval(){this._interval&&(clearInterval(this._interval),this._interval=null)}_directionToOrder(t){return Kt()?t===ze?Be:Fe:t===ze?Fe:Be}_orderToDirection(t){return Kt()?t===Be?ze:qe:t===Be?qe:ze}static jQueryInterface(t){return this.each((function(){const e=ri.getOrCreateInstance(this,t);if("number"!=typeof t){if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}else e.to(t)}))}}de.on(document,Ge,"[data-bs-slide], [data-bs-slide-to]",(function(t){const e=Pt(this);if(!e||!e.classList.contains(Je))return;t.preventDefault();const i=ri.getOrCreateInstance(e),n=this.getAttribute("data-bs-slide-to");return n?(i.to(n),void i._maybeEnableCycle()):"next"===be.getDataAttribute(this,"slide")?(i.next(),void i._maybeEnableCycle()):(i.prev(),void i._maybeEnableCycle())})),de.on(window,Ue,(()=>{const t=ke.find('[data-bs-ride="carousel"]');for(const e of t)ri.getOrCreateInstance(e)})),Qt(ri);const ai=".bs.collapse",li=`show${ai}`,ci=`shown${ai}`,hi=`hide${ai}`,ui=`hidden${ai}`,di=`click${ai}.data-api`,fi="show",pi="collapse",gi="collapsing",mi=`:scope .${pi} .${pi}`,_i='[data-bs-toggle="collapse"]',bi={parent:null,toggle:!0},vi={parent:"(null|element)",toggle:"boolean"};class yi extends ye{constructor(t,e){super(t,e),this._isTransitioning=!1,this._triggerArray=[];const i=ke.find(_i);for(const t of i){const e=Nt(t),i=ke.find(e).filter((t=>t===this._element));null!==e&&i.length&&this._triggerArray.push(t)}this._initializeChildren(),this._config.parent||this._addAriaAndCollapsedClass(this._triggerArray,this._isShown()),this._config.toggle&&this.toggle()}static get Default(){return bi}static get DefaultType(){return vi}static get NAME(){return"collapse"}toggle(){this._isShown()?this.hide():this.show()}show(){if(this._isTransitioning||this._isShown())return;let t=[];if(this._config.parent&&(t=this._getFirstLevelChildren(".collapse.show, .collapse.collapsing").filter((t=>t!==this._element)).map((t=>yi.getOrCreateInstance(t,{toggle:!1})))),t.length&&t[0]._isTransitioning)return;if(de.trigger(this._element,li).defaultPrevented)return;for(const e of t)e.hide();const e=this._getDimension();this._element.classList.remove(pi),this._element.classList.add(gi),this._element.style[e]=0,this._addAriaAndCollapsedClass(this._triggerArray,!0),this._isTransitioning=!0;const i=`scroll${e[0].toUpperCase()+e.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(gi),this._element.classList.add(pi,fi),this._element.style[e]="",de.trigger(this._element,ci)}),this._element,!0),this._element.style[e]=`${this._element[i]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(de.trigger(this._element,hi).defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,qt(this._element),this._element.classList.add(gi),this._element.classList.remove(pi,fi);for(const t of this._triggerArray){const e=Pt(t);e&&!this._isShown(e)&&this._addAriaAndCollapsedClass([t],!1)}this._isTransitioning=!0,this._element.style[t]="",this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(gi),this._element.classList.add(pi),de.trigger(this._element,ui)}),this._element,!0)}_isShown(t=this._element){return t.classList.contains(fi)}_configAfterMerge(t){return t.toggle=Boolean(t.toggle),t.parent=Ht(t.parent),t}_getDimension(){return this._element.classList.contains("collapse-horizontal")?"width":"height"}_initializeChildren(){if(!this._config.parent)return;const t=this._getFirstLevelChildren(_i);for(const e of t){const t=Pt(e);t&&this._addAriaAndCollapsedClass([e],this._isShown(t))}}_getFirstLevelChildren(t){const e=ke.find(mi,this._config.parent);return ke.find(t,this._config.parent).filter((t=>!e.includes(t)))}_addAriaAndCollapsedClass(t,e){if(t.length)for(const i of t)i.classList.toggle("collapsed",!e),i.setAttribute("aria-expanded",e)}static jQueryInterface(t){const e={};return"string"==typeof t&&/show|hide/.test(t)&&(e.toggle=!1),this.each((function(){const i=yi.getOrCreateInstance(this,e);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t]()}}))}}de.on(document,di,_i,(function(t){("A"===t.target.tagName||t.delegateTarget&&"A"===t.delegateTarget.tagName)&&t.preventDefault();const e=Nt(this),i=ke.find(e);for(const t of i)yi.getOrCreateInstance(t,{toggle:!1}).toggle()})),Qt(yi);const wi="dropdown",Ai=".bs.dropdown",Ei=".data-api",Ci="ArrowUp",Ti="ArrowDown",Oi=`hide${Ai}`,xi=`hidden${Ai}`,ki=`show${Ai}`,Li=`shown${Ai}`,Di=`click${Ai}${Ei}`,$i=`keydown${Ai}${Ei}`,Si=`keyup${Ai}${Ei}`,Ii="show",Ni='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',Pi=`${Ni}.${Ii}`,ji=".dropdown-menu",Mi=Kt()?"top-end":"top-start",Hi=Kt()?"top-start":"top-end",Wi=Kt()?"bottom-end":"bottom-start",Fi=Kt()?"bottom-start":"bottom-end",Bi=Kt()?"left-start":"right-start",zi=Kt()?"right-start":"left-start",qi={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},Ri={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class Vi extends ye{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=ke.next(this._element,ji)[0]||ke.prev(this._element,ji)[0]||ke.findOne(ji,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return qi}static get DefaultType(){return Ri}static get NAME(){return wi}toggle(){return this._isShown()?this.hide():this.show()}show(){if(Ft(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!de.trigger(this._element,ki,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))de.on(t,"mouseover",zt);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Ii),this._element.classList.add(Ii),de.trigger(this._element,Li,t)}}hide(){if(Ft(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!de.trigger(this._element,Oi,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))de.off(t,"mouseover",zt);this._popper&&this._popper.destroy(),this._menu.classList.remove(Ii),this._element.classList.remove(Ii),this._element.setAttribute("aria-expanded","false"),be.removeDataAttribute(this._menu,"popper"),de.trigger(this._element,xi,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!Mt(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${wi.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===e)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:Mt(this._config.reference)?t=Ht(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const i=this._getPopperConfig();this._popper=Dt(t,this._menu,i)}_isShown(){return this._menu.classList.contains(Ii)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Bi;if(t.classList.contains("dropstart"))return zi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?Hi:Mi:e?Fi:Wi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(be.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,..."function"==typeof this._config.popperConfig?this._config.popperConfig(t):this._config.popperConfig}}_selectMenuItem({key:t,target:e}){const i=ke.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>Wt(t)));i.length&&Ut(i,e,t===Ti,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=Vi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=ke.find(Pi);for(const i of e){const e=Vi.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Ci,Ti].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ni)?this:ke.prev(this,Ni)[0]||ke.next(this,Ni)[0]||ke.findOne(Ni,t.delegateTarget.parentNode),o=Vi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}de.on(document,$i,Ni,Vi.dataApiKeydownHandler),de.on(document,$i,ji,Vi.dataApiKeydownHandler),de.on(document,Di,Vi.clearMenus),de.on(document,Si,Vi.clearMenus),de.on(document,Di,Ni,(function(t){t.preventDefault(),Vi.getOrCreateInstance(this).toggle()})),Qt(Vi);const Ki=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",Qi=".sticky-top",Xi="padding-right",Yi="margin-right";class Ui{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,Xi,(e=>e+t)),this._setElementAttributes(Ki,Xi,(e=>e+t)),this._setElementAttributes(Qi,Yi,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,Xi),this._resetElementAttributes(Ki,Xi),this._resetElementAttributes(Qi,Yi)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&be.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=be.getDataAttribute(t,e);null!==i?(be.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(Mt(t))e(t);else for(const i of ke.find(t,this._element))e(i)}}const Gi="backdrop",Ji="show",Zi=`mousedown.bs.${Gi}`,tn={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},en={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class nn extends ve{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return tn}static get DefaultType(){return en}static get NAME(){return Gi}show(t){if(!this._config.isVisible)return void Xt(t);this._append();const e=this._getElement();this._config.isAnimated&&qt(e),e.classList.add(Ji),this._emulateAnimation((()=>{Xt(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ji),this._emulateAnimation((()=>{this.dispose(),Xt(t)}))):Xt(t)}dispose(){this._isAppended&&(de.off(this._element,Zi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=Ht(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),de.on(t,Zi,(()=>{Xt(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){Yt(t,this._getElement(),this._config.isAnimated)}}const sn=".bs.focustrap",on=`focusin${sn}`,rn=`keydown.tab${sn}`,an="backward",ln={autofocus:!0,trapElement:null},cn={autofocus:"boolean",trapElement:"element"};class hn extends ve{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return ln}static get DefaultType(){return cn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),de.off(document,sn),de.on(document,on,(t=>this._handleFocusin(t))),de.on(document,rn,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,de.off(document,sn))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=ke.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===an?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?an:"forward")}}const un=".bs.modal",dn=`hide${un}`,fn=`hidePrevented${un}`,pn=`hidden${un}`,gn=`show${un}`,mn=`shown${un}`,_n=`resize${un}`,bn=`click.dismiss${un}`,vn=`mousedown.dismiss${un}`,yn=`keydown.dismiss${un}`,wn=`click${un}.data-api`,An="modal-open",En="show",Cn="modal-static",Tn={backdrop:!0,focus:!0,keyboard:!0},On={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class xn extends ye{constructor(t,e){super(t,e),this._dialog=ke.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new Ui,this._addEventListeners()}static get Default(){return Tn}static get DefaultType(){return On}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||de.trigger(this._element,gn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(An),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(de.trigger(this._element,dn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(En),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){for(const t of[window,this._dialog])de.off(t,un);this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new nn({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new hn({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=ke.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),qt(this._element),this._element.classList.add(En),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,de.trigger(this._element,mn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){de.on(this._element,yn,(t=>{if("Escape"===t.key)return this._config.keyboard?(t.preventDefault(),void this.hide()):void this._triggerBackdropTransition()})),de.on(window,_n,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),de.on(this._element,vn,(t=>{de.one(this._element,bn,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(An),this._resetAdjustments(),this._scrollBar.reset(),de.trigger(this._element,pn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(de.trigger(this._element,fn).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(Cn)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(Cn),this._queueCallback((()=>{this._element.classList.remove(Cn),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=Kt()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=Kt()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=xn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}de.on(document,wn,'[data-bs-toggle="modal"]',(function(t){const e=Pt(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),de.one(e,gn,(t=>{t.defaultPrevented||de.one(e,pn,(()=>{Wt(this)&&this.focus()}))}));const i=ke.findOne(".modal.show");i&&xn.getInstance(i).hide(),xn.getOrCreateInstance(e).toggle(this)})),we(xn),Qt(xn);const kn=".bs.offcanvas",Ln=".data-api",Dn=`load${kn}${Ln}`,$n="show",Sn="showing",In="hiding",Nn=".offcanvas.show",Pn=`show${kn}`,jn=`shown${kn}`,Mn=`hide${kn}`,Hn=`hidePrevented${kn}`,Wn=`hidden${kn}`,Fn=`resize${kn}`,Bn=`click${kn}${Ln}`,zn=`keydown.dismiss${kn}`,qn={backdrop:!0,keyboard:!0,scroll:!1},Rn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class Vn extends ye{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return qn}static get DefaultType(){return Rn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||de.trigger(this._element,Pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new Ui).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Sn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add($n),this._element.classList.remove(Sn),de.trigger(this._element,jn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(de.trigger(this._element,Mn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add(In),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove($n,In),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new Ui).reset(),de.trigger(this._element,Wn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new nn({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():de.trigger(this._element,Hn)}:null})}_initializeFocusTrap(){return new hn({trapElement:this._element})}_addEventListeners(){de.on(this._element,zn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():de.trigger(this._element,Hn))}))}static jQueryInterface(t){return this.each((function(){const e=Vn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}de.on(document,Bn,'[data-bs-toggle="offcanvas"]',(function(t){const e=Pt(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),Ft(this))return;de.one(e,Wn,(()=>{Wt(this)&&this.focus()}));const i=ke.findOne(Nn);i&&i!==e&&Vn.getInstance(i).hide(),Vn.getOrCreateInstance(e).toggle(this)})),de.on(window,Dn,(()=>{for(const t of ke.find(Nn))Vn.getOrCreateInstance(t).show()})),de.on(window,Fn,(()=>{for(const t of ke.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&Vn.getOrCreateInstance(t).hide()})),we(Vn),Qt(Vn);const Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i,Xn=/^data:(?:image\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\/(?:mpeg|mp4|ogg|webm)|audio\/(?:mp3|oga|ogg|opus));base64,[\d+/a-z]+=*$/i,Yn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)||Xn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Un={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Gn={allowList:Un,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Jn={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Zn={entry:"(string|element|function|null)",selector:"(string|element)"};class ts extends ve{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Gn}static get DefaultType(){return Jn}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Zn)}_setContent(t,e,i){const n=ke.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?Mt(e)?this._putElementInTemplate(Ht(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Yn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return"function"==typeof t?t(this):t}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const es=new Set(["sanitize","allowList","sanitizeFn"]),is="fade",ns="show",ss=".modal",os="hide.bs.modal",rs="hover",as="focus",ls={AUTO:"auto",TOP:"top",RIGHT:Kt()?"left":"right",BOTTOM:"bottom",LEFT:Kt()?"right":"left"},cs={allowList:Un,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,0],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},hs={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class us extends ye{constructor(t,i){if(void 0===e)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,i),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return cs}static get DefaultType(){return hs}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),de.off(this._element.closest(ss),os,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=de.trigger(this._element,this.constructor.eventName("show")),e=(Bt(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),de.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(ns),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))de.on(t,"mouseover",zt);this._queueCallback((()=>{de.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!de.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(ns),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))de.off(t,"mouseover",zt);this._activeTrigger.click=!1,this._activeTrigger[as]=!1,this._activeTrigger[rs]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),de.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(is,ns),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(is),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new ts({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(is)}_isShown(){return this.tip&&this.tip.classList.contains(ns)}_createPopper(t){const e="function"==typeof this._config.placement?this._config.placement.call(this,t,this._element):this._config.placement,i=ls[e.toUpperCase()];return Dt(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return"function"==typeof t?t.call(this._element):t}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,..."function"==typeof this._config.popperConfig?this._config.popperConfig(e):this._config.popperConfig}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)de.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===rs?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===rs?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");de.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?as:rs]=!0,e._enter()})),de.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?as:rs]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},de.on(this._element.closest(ss),os,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=be.getDataAttributes(this._element);for(const t of Object.keys(e))es.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:Ht(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const e in this._config)this.constructor.Default[e]!==this._config[e]&&(t[e]=this._config[e]);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=us.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(us);const ds={...us.Default,content:"",offset:[0,8],placement:"right",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div class="popover-body"></div></div>',trigger:"click"},fs={...us.DefaultType,content:"(null|string|element|function)"};class ps extends us{static get Default(){return ds}static get DefaultType(){return fs}static get NAME(){return"popover"}_isWithContent(){return this._getTitle()||this._getContent()}_getContentForTemplate(){return{".popover-header":this._getTitle(),".popover-body":this._getContent()}}_getContent(){return this._resolvePossibleFunction(this._config.content)}static jQueryInterface(t){return this.each((function(){const e=ps.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(ps);const gs=".bs.scrollspy",ms=`activate${gs}`,_s=`click${gs}`,bs=`load${gs}.data-api`,vs="active",ys="[href]",ws=".nav-link",As=`${ws}, .nav-item > ${ws}, .list-group-item`,Es={offset:null,rootMargin:"0px 0px -25%",smoothScroll:!1,target:null,threshold:[.1,.5,1]},Cs={offset:"(number|null)",rootMargin:"string",smoothScroll:"boolean",target:"element",threshold:"array"};class Ts extends ye{constructor(t,e){super(t,e),this._targetLinks=new Map,this._observableSections=new Map,this._rootElement="visible"===getComputedStyle(this._element).overflowY?null:this._element,this._activeTarget=null,this._observer=null,this._previousScrollData={visibleEntryTop:0,parentScrollTop:0},this.refresh()}static get Default(){return Es}static get DefaultType(){return Cs}static get NAME(){return"scrollspy"}refresh(){this._initializeTargetsAndObservables(),this._maybeEnableSmoothScroll(),this._observer?this._observer.disconnect():this._observer=this._getNewObserver();for(const t of this._observableSections.values())this._observer.observe(t)}dispose(){this._observer.disconnect(),super.dispose()}_configAfterMerge(t){return t.target=Ht(t.target)||document.body,t.rootMargin=t.offset?`${t.offset}px 0px -30%`:t.rootMargin,"string"==typeof t.threshold&&(t.threshold=t.threshold.split(",").map((t=>Number.parseFloat(t)))),t}_maybeEnableSmoothScroll(){this._config.smoothScroll&&(de.off(this._config.target,_s),de.on(this._config.target,_s,ys,(t=>{const e=this._observableSections.get(t.target.hash);if(e){t.preventDefault();const i=this._rootElement||window,n=e.offsetTop-this._element.offsetTop;if(i.scrollTo)return void i.scrollTo({top:n,behavior:"smooth"});i.scrollTop=n}})))}_getNewObserver(){const t={root:this._rootElement,threshold:this._config.threshold,rootMargin:this._config.rootMargin};return new IntersectionObserver((t=>this._observerCallback(t)),t)}_observerCallback(t){const e=t=>this._targetLinks.get(`#${t.target.id}`),i=t=>{this._previousScrollData.visibleEntryTop=t.target.offsetTop,this._process(e(t))},n=(this._rootElement||document.documentElement).scrollTop,s=n>=this._previousScrollData.parentScrollTop;this._previousScrollData.parentScrollTop=n;for(const o of t){if(!o.isIntersecting){this._activeTarget=null,this._clearActiveClass(e(o));continue}const t=o.target.offsetTop>=this._previousScrollData.visibleEntryTop;if(s&&t){if(i(o),!n)return}else s||t||i(o)}}_initializeTargetsAndObservables(){this._targetLinks=new Map,this._observableSections=new Map;const t=ke.find(ys,this._config.target);for(const e of t){if(!e.hash||Ft(e))continue;const t=ke.findOne(e.hash,this._element);Wt(t)&&(this._targetLinks.set(e.hash,e),this._observableSections.set(e.hash,t))}}_process(t){this._activeTarget!==t&&(this._clearActiveClass(this._config.target),this._activeTarget=t,t.classList.add(vs),this._activateParents(t),de.trigger(this._element,ms,{relatedTarget:t}))}_activateParents(t){if(t.classList.contains("dropdown-item"))ke.findOne(".dropdown-toggle",t.closest(".dropdown")).classList.add(vs);else for(const e of ke.parents(t,".nav, .list-group"))for(const t of ke.prev(e,As))t.classList.add(vs)}_clearActiveClass(t){t.classList.remove(vs);const e=ke.find(`${ys}.${vs}`,t);for(const t of e)t.classList.remove(vs)}static jQueryInterface(t){return this.each((function(){const e=Ts.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}de.on(window,bs,(()=>{for(const t of ke.find('[data-bs-spy="scroll"]'))Ts.getOrCreateInstance(t)})),Qt(Ts);const Os=".bs.tab",xs=`hide${Os}`,ks=`hidden${Os}`,Ls=`show${Os}`,Ds=`shown${Os}`,$s=`click${Os}`,Ss=`keydown${Os}`,Is=`load${Os}`,Ns="ArrowLeft",Ps="ArrowRight",js="ArrowUp",Ms="ArrowDown",Hs="active",Ws="fade",Fs="show",Bs=":not(.dropdown-toggle)",zs='[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',qs=`.nav-link${Bs}, .list-group-item${Bs}, [role="tab"]${Bs}, ${zs}`,Rs=`.${Hs}[data-bs-toggle="tab"], .${Hs}[data-bs-toggle="pill"], .${Hs}[data-bs-toggle="list"]`;class Vs extends ye{constructor(t){super(t),this._parent=this._element.closest('.list-group, .nav, [role="tablist"]'),this._parent&&(this._setInitialAttributes(this._parent,this._getChildren()),de.on(this._element,Ss,(t=>this._keydown(t))))}static get NAME(){return"tab"}show(){const t=this._element;if(this._elemIsActive(t))return;const e=this._getActiveElem(),i=e?de.trigger(e,xs,{relatedTarget:t}):null;de.trigger(t,Ls,{relatedTarget:e}).defaultPrevented||i&&i.defaultPrevented||(this._deactivate(e,t),this._activate(t,e))}_activate(t,e){t&&(t.classList.add(Hs),this._activate(Pt(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.removeAttribute("tabindex"),t.setAttribute("aria-selected",!0),this._toggleDropDown(t,!0),de.trigger(t,Ds,{relatedTarget:e})):t.classList.add(Fs)}),t,t.classList.contains(Ws)))}_deactivate(t,e){t&&(t.classList.remove(Hs),t.blur(),this._deactivate(Pt(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.setAttribute("aria-selected",!1),t.setAttribute("tabindex","-1"),this._toggleDropDown(t,!1),de.trigger(t,ks,{relatedTarget:e})):t.classList.remove(Fs)}),t,t.classList.contains(Ws)))}_keydown(t){if(![Ns,Ps,js,Ms].includes(t.key))return;t.stopPropagation(),t.preventDefault();const e=[Ps,Ms].includes(t.key),i=Ut(this._getChildren().filter((t=>!Ft(t))),t.target,e,!0);i&&(i.focus({preventScroll:!0}),Vs.getOrCreateInstance(i).show())}_getChildren(){return ke.find(qs,this._parent)}_getActiveElem(){return this._getChildren().find((t=>this._elemIsActive(t)))||null}_setInitialAttributes(t,e){this._setAttributeIfNotExists(t,"role","tablist");for(const t of e)this._setInitialAttributesOnChild(t)}_setInitialAttributesOnChild(t){t=this._getInnerElement(t);const e=this._elemIsActive(t),i=this._getOuterElement(t);t.setAttribute("aria-selected",e),i!==t&&this._setAttributeIfNotExists(i,"role","presentation"),e||t.setAttribute("tabindex","-1"),this._setAttributeIfNotExists(t,"role","tab"),this._setInitialAttributesOnTargetPanel(t)}_setInitialAttributesOnTargetPanel(t){const e=Pt(t);e&&(this._setAttributeIfNotExists(e,"role","tabpanel"),t.id&&this._setAttributeIfNotExists(e,"aria-labelledby",`#${t.id}`))}_toggleDropDown(t,e){const 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e?e.split(",").map((t=>Mt(t))).join(","):null},we={find:(t,e=document.documentElement)=>[].concat(...Element.prototype.querySelectorAll.call(e,t)),findOne:(t,e=document.documentElement)=>Element.prototype.querySelector.call(e,t),children:(t,e)=>[].concat(...t.children).filter((t=>t.matches(e))),parents(t,e){const i=[];let n=t.parentNode.closest(e);for(;n;)i.push(n),n=n.parentNode.closest(e);return i},prev(t,e){let i=t.previousElementSibling;for(;i;){if(i.matches(e))return[i];i=i.previousElementSibling}return[]},next(t,e){let i=t.nextElementSibling;for(;i;){if(i.matches(e))return[i];i=i.nextElementSibling}return[]},focusableChildren(t){const e=["a","button","input","textarea","select","details","[tabindex]",'[contenteditable="true"]'].map((t=>`${t}:not([tabindex^="-"])`)).join(",");return this.find(e,t).filter((t=>!Wt(t)&&Bt(t)))},getSelectorFromElement(t){const e=ye(t);return e&&we.findOne(e)?e:null},getElementFromSelector(t){const e=ye(t);return e?we.findOne(e):null},getMultipleElementsFromSelector(t){const e=ye(t);return e?we.find(e):[]}},Ee=(t,e="hide")=>{const i=`click.dismiss${t.EVENT_KEY}`,n=t.NAME;fe.on(document,i,`[data-bs-dismiss="${n}"]`,(function(i){if(["A","AREA"].includes(this.tagName)&&i.preventDefault(),Wt(this))return;const s=we.getElementFromSelector(this)||this.closest(`.${n}`);t.getOrCreateInstance(s)[e]()}))},Ae=".bs.alert",Te=`close${Ae}`,Ce=`closed${Ae}`;class Oe extends ve{static get NAME(){return"alert"}close(){if(fe.trigger(this._element,Te).defaultPrevented)return;this._element.classList.remove("show");const t=this._element.classList.contains("fade");this._queueCallback((()=>this._destroyElement()),this._element,t)}_destroyElement(){this._element.remove(),fe.trigger(this._element,Ce),this.dispose()}static jQueryInterface(t){return this.each((function(){const e=Oe.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}Ee(Oe,"close"),Qt(Oe);const xe='[data-bs-toggle="button"]';class ke extends ve{static get NAME(){return"button"}toggle(){this._element.setAttribute("aria-pressed",this._element.classList.toggle("active"))}static jQueryInterface(t){return this.each((function(){const e=ke.getOrCreateInstance(this);"toggle"===t&&e[t]()}))}}fe.on(document,"click.bs.button.data-api",xe,(t=>{t.preventDefault();const e=t.target.closest(xe);ke.getOrCreateInstance(e).toggle()})),Qt(ke);const Le=".bs.swipe",Se=`touchstart${Le}`,De=`touchmove${Le}`,$e=`touchend${Le}`,Ie=`pointerdown${Le}`,Ne=`pointerup${Le}`,Pe={endCallback:null,leftCallback:null,rightCallback:null},Me={endCallback:"(function|null)",leftCallback:"(function|null)",rightCallback:"(function|null)"};class je extends be{constructor(t,e){super(),this._element=t,t&&je.isSupported()&&(this._config=this._getConfig(e),this._deltaX=0,this._supportPointerEvents=Boolean(window.PointerEvent),this._initEvents())}static get Default(){return Pe}static get DefaultType(){return Me}static get NAME(){return"swipe"}dispose(){fe.off(this._element,Le)}_start(t){this._supportPointerEvents?this._eventIsPointerPenTouch(t)&&(this._deltaX=t.clientX):this._deltaX=t.touches[0].clientX}_end(t){this._eventIsPointerPenTouch(t)&&(this._deltaX=t.clientX-this._deltaX),this._handleSwipe(),Xt(this._config.endCallback)}_move(t){this._deltaX=t.touches&&t.touches.length>1?0:t.touches[0].clientX-this._deltaX}_handleSwipe(){const t=Math.abs(this._deltaX);if(t<=40)return;const e=t/this._deltaX;this._deltaX=0,e&&Xt(e>0?this._config.rightCallback:this._config.leftCallback)}_initEvents(){this._supportPointerEvents?(fe.on(this._element,Ie,(t=>this._start(t))),fe.on(this._element,Ne,(t=>this._end(t))),this._element.classList.add("pointer-event")):(fe.on(this._element,Se,(t=>this._start(t))),fe.on(this._element,De,(t=>this._move(t))),fe.on(this._element,$e,(t=>this._end(t))))}_eventIsPointerPenTouch(t){return this._supportPointerEvents&&("pen"===t.pointerType||"touch"===t.pointerType)}static isSupported(){return"ontouchstart"in document.documentElement||navigator.maxTouchPoints>0}}const Fe=".bs.carousel",He=".data-api",Be="ArrowLeft",We="ArrowRight",ze="next",Re="prev",qe="left",Ve="right",Ye=`slide${Fe}`,Ke=`slid${Fe}`,Qe=`keydown${Fe}`,Xe=`mouseenter${Fe}`,Ue=`mouseleave${Fe}`,Ge=`dragstart${Fe}`,Je=`load${Fe}${He}`,Ze=`click${Fe}${He}`,ti="carousel",ei="active",ii=".active",ni=".carousel-item",si=ii+ni,oi={[Be]:Ve,[We]:qe},ri={interval:5e3,keyboard:!0,pause:"hover",ride:!1,touch:!0,wrap:!0},ai={interval:"(number|boolean)",keyboard:"boolean",pause:"(string|boolean)",ride:"(boolean|string)",touch:"boolean",wrap:"boolean"};class li extends ve{constructor(t,e){super(t,e),this._interval=null,this._activeElement=null,this._isSliding=!1,this.touchTimeout=null,this._swipeHelper=null,this._indicatorsElement=we.findOne(".carousel-indicators",this._element),this._addEventListeners(),this._config.ride===ti&&this.cycle()}static get Default(){return ri}static get DefaultType(){return ai}static get NAME(){return"carousel"}next(){this._slide(ze)}nextWhenVisible(){!document.hidden&&Bt(this._element)&&this.next()}prev(){this._slide(Re)}pause(){this._isSliding&&jt(this._element),this._clearInterval()}cycle(){this._clearInterval(),this._updateInterval(),this._interval=setInterval((()=>this.nextWhenVisible()),this._config.interval)}_maybeEnableCycle(){this._config.ride&&(this._isSliding?fe.one(this._element,Ke,(()=>this.cycle())):this.cycle())}to(t){const e=this._getItems();if(t>e.length-1||t<0)return;if(this._isSliding)return void fe.one(this._element,Ke,(()=>this.to(t)));const i=this._getItemIndex(this._getActive());if(i===t)return;const n=t>i?ze:Re;this._slide(n,e[t])}dispose(){this._swipeHelper&&this._swipeHelper.dispose(),super.dispose()}_configAfterMerge(t){return t.defaultInterval=t.interval,t}_addEventListeners(){this._config.keyboard&&fe.on(this._element,Qe,(t=>this._keydown(t))),"hover"===this._config.pause&&(fe.on(this._element,Xe,(()=>this.pause())),fe.on(this._element,Ue,(()=>this._maybeEnableCycle()))),this._config.touch&&je.isSupported()&&this._addTouchEventListeners()}_addTouchEventListeners(){for(const t of we.find(".carousel-item img",this._element))fe.on(t,Ge,(t=>t.preventDefault()));const t={leftCallback:()=>this._slide(this._directionToOrder(qe)),rightCallback:()=>this._slide(this._directionToOrder(Ve)),endCallback:()=>{"hover"===this._config.pause&&(this.pause(),this.touchTimeout&&clearTimeout(this.touchTimeout),this.touchTimeout=setTimeout((()=>this._maybeEnableCycle()),500+this._config.interval))}};this._swipeHelper=new je(this._element,t)}_keydown(t){if(/input|textarea/i.test(t.target.tagName))return;const e=oi[t.key];e&&(t.preventDefault(),this._slide(this._directionToOrder(e)))}_getItemIndex(t){return this._getItems().indexOf(t)}_setActiveIndicatorElement(t){if(!this._indicatorsElement)return;const e=we.findOne(ii,this._indicatorsElement);e.classList.remove(ei),e.removeAttribute("aria-current");const i=we.findOne(`[data-bs-slide-to="${t}"]`,this._indicatorsElement);i&&(i.classList.add(ei),i.setAttribute("aria-current","true"))}_updateInterval(){const t=this._activeElement||this._getActive();if(!t)return;const e=Number.parseInt(t.getAttribute("data-bs-interval"),10);this._config.interval=e||this._config.defaultInterval}_slide(t,e=null){if(this._isSliding)return;const i=this._getActive(),n=t===ze,s=e||Gt(this._getItems(),i,n,this._config.wrap);if(s===i)return;const o=this._getItemIndex(s),r=e=>fe.trigger(this._element,e,{relatedTarget:s,direction:this._orderToDirection(t),from:this._getItemIndex(i),to:o});if(r(Ye).defaultPrevented)return;if(!i||!s)return;const a=Boolean(this._interval);this.pause(),this._isSliding=!0,this._setActiveIndicatorElement(o),this._activeElement=s;const l=n?"carousel-item-start":"carousel-item-end",c=n?"carousel-item-next":"carousel-item-prev";s.classList.add(c),qt(s),i.classList.add(l),s.classList.add(l),this._queueCallback((()=>{s.classList.remove(l,c),s.classList.add(ei),i.classList.remove(ei,c,l),this._isSliding=!1,r(Ke)}),i,this._isAnimated()),a&&this.cycle()}_isAnimated(){return this._element.classList.contains("slide")}_getActive(){return we.findOne(si,this._element)}_getItems(){return we.find(ni,this._element)}_clearInterval(){this._interval&&(clearInterval(this._interval),this._interval=null)}_directionToOrder(t){return Kt()?t===qe?Re:ze:t===qe?ze:Re}_orderToDirection(t){return Kt()?t===Re?qe:Ve:t===Re?Ve:qe}static jQueryInterface(t){return this.each((function(){const e=li.getOrCreateInstance(this,t);if("number"!=typeof t){if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}else e.to(t)}))}}fe.on(document,Ze,"[data-bs-slide], [data-bs-slide-to]",(function(t){const e=we.getElementFromSelector(this);if(!e||!e.classList.contains(ti))return;t.preventDefault();const i=li.getOrCreateInstance(e),n=this.getAttribute("data-bs-slide-to");return n?(i.to(n),void i._maybeEnableCycle()):"next"===_e.getDataAttribute(this,"slide")?(i.next(),void i._maybeEnableCycle()):(i.prev(),void i._maybeEnableCycle())})),fe.on(window,Je,(()=>{const t=we.find('[data-bs-ride="carousel"]');for(const e of t)li.getOrCreateInstance(e)})),Qt(li);const ci=".bs.collapse",hi=`show${ci}`,di=`shown${ci}`,ui=`hide${ci}`,fi=`hidden${ci}`,pi=`click${ci}.data-api`,mi="show",gi="collapse",_i="collapsing",bi=`:scope .${gi} .${gi}`,vi='[data-bs-toggle="collapse"]',yi={parent:null,toggle:!0},wi={parent:"(null|element)",toggle:"boolean"};class Ei extends ve{constructor(t,e){super(t,e),this._isTransitioning=!1,this._triggerArray=[];const i=we.find(vi);for(const t of i){const e=we.getSelectorFromElement(t),i=we.find(e).filter((t=>t===this._element));null!==e&&i.length&&this._triggerArray.push(t)}this._initializeChildren(),this._config.parent||this._addAriaAndCollapsedClass(this._triggerArray,this._isShown()),this._config.toggle&&this.toggle()}static get Default(){return yi}static get DefaultType(){return wi}static get NAME(){return"collapse"}toggle(){this._isShown()?this.hide():this.show()}show(){if(this._isTransitioning||this._isShown())return;let t=[];if(this._config.parent&&(t=this._getFirstLevelChildren(".collapse.show, .collapse.collapsing").filter((t=>t!==this._element)).map((t=>Ei.getOrCreateInstance(t,{toggle:!1})))),t.length&&t[0]._isTransitioning)return;if(fe.trigger(this._element,hi).defaultPrevented)return;for(const e of t)e.hide();const e=this._getDimension();this._element.classList.remove(gi),this._element.classList.add(_i),this._element.style[e]=0,this._addAriaAndCollapsedClass(this._triggerArray,!0),this._isTransitioning=!0;const i=`scroll${e[0].toUpperCase()+e.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(_i),this._element.classList.add(gi,mi),this._element.style[e]="",fe.trigger(this._element,di)}),this._element,!0),this._element.style[e]=`${this._element[i]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(fe.trigger(this._element,ui).defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,qt(this._element),this._element.classList.add(_i),this._element.classList.remove(gi,mi);for(const t of this._triggerArray){const e=we.getElementFromSelector(t);e&&!this._isShown(e)&&this._addAriaAndCollapsedClass([t],!1)}this._isTransitioning=!0,this._element.style[t]="",this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(_i),this._element.classList.add(gi),fe.trigger(this._element,fi)}),this._element,!0)}_isShown(t=this._element){return t.classList.contains(mi)}_configAfterMerge(t){return t.toggle=Boolean(t.toggle),t.parent=Ht(t.parent),t}_getDimension(){return this._element.classList.contains("collapse-horizontal")?"width":"height"}_initializeChildren(){if(!this._config.parent)return;const t=this._getFirstLevelChildren(vi);for(const e of t){const t=we.getElementFromSelector(e);t&&this._addAriaAndCollapsedClass([e],this._isShown(t))}}_getFirstLevelChildren(t){const e=we.find(bi,this._config.parent);return we.find(t,this._config.parent).filter((t=>!e.includes(t)))}_addAriaAndCollapsedClass(t,e){if(t.length)for(const i of t)i.classList.toggle("collapsed",!e),i.setAttribute("aria-expanded",e)}static jQueryInterface(t){const e={};return"string"==typeof t&&/show|hide/.test(t)&&(e.toggle=!1),this.each((function(){const i=Ei.getOrCreateInstance(this,e);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t]()}}))}}fe.on(document,pi,vi,(function(t){("A"===t.target.tagName||t.delegateTarget&&"A"===t.delegateTarget.tagName)&&t.preventDefault();for(const t of we.getMultipleElementsFromSelector(this))Ei.getOrCreateInstance(t,{toggle:!1}).toggle()})),Qt(Ei);const Ai="dropdown",Ti=".bs.dropdown",Ci=".data-api",Oi="ArrowUp",xi="ArrowDown",ki=`hide${Ti}`,Li=`hidden${Ti}`,Si=`show${Ti}`,Di=`shown${Ti}`,$i=`click${Ti}${Ci}`,Ii=`keydown${Ti}${Ci}`,Ni=`keyup${Ti}${Ci}`,Pi="show",Mi='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',ji=`${Mi}.${Pi}`,Fi=".dropdown-menu",Hi=Kt()?"top-end":"top-start",Bi=Kt()?"top-start":"top-end",Wi=Kt()?"bottom-end":"bottom-start",zi=Kt()?"bottom-start":"bottom-end",Ri=Kt()?"left-start":"right-start",qi=Kt()?"right-start":"left-start",Vi={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},Yi={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class Ki extends ve{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=we.next(this._element,Fi)[0]||we.prev(this._element,Fi)[0]||we.findOne(Fi,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return Vi}static get DefaultType(){return Yi}static get NAME(){return Ai}toggle(){return this._isShown()?this.hide():this.show()}show(){if(Wt(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!fe.trigger(this._element,Si,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))fe.on(t,"mouseover",Rt);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Pi),this._element.classList.add(Pi),fe.trigger(this._element,Di,t)}}hide(){if(Wt(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!fe.trigger(this._element,ki,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.off(t,"mouseover",Rt);this._popper&&this._popper.destroy(),this._menu.classList.remove(Pi),this._element.classList.remove(Pi),this._element.setAttribute("aria-expanded","false"),_e.removeDataAttribute(this._menu,"popper"),fe.trigger(this._element,Li,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!Ft(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${Ai.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===e)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:Ft(this._config.reference)?t=Ht(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const i=this._getPopperConfig();this._popper=Dt(t,this._menu,i)}_isShown(){return this._menu.classList.contains(Pi)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Ri;if(t.classList.contains("dropstart"))return qi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?Bi:Hi:e?zi:Wi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(_e.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...Xt(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=we.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>Bt(t)));i.length&&Gt(i,e,t===xi,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=Ki.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=we.find(ji);for(const i of e){const e=Ki.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Oi,xi].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Mi)?this:we.prev(this,Mi)[0]||we.next(this,Mi)[0]||we.findOne(Mi,t.delegateTarget.parentNode),o=Ki.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}fe.on(document,Ii,Mi,Ki.dataApiKeydownHandler),fe.on(document,Ii,Fi,Ki.dataApiKeydownHandler),fe.on(document,$i,Ki.clearMenus),fe.on(document,Ni,Ki.clearMenus),fe.on(document,$i,Mi,(function(t){t.preventDefault(),Ki.getOrCreateInstance(this).toggle()})),Qt(Ki);const Qi="backdrop",Xi="show",Ui=`mousedown.bs.${Qi}`,Gi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Ji={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Zi extends be{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Gi}static get DefaultType(){return Ji}static get NAME(){return Qi}show(t){if(!this._config.isVisible)return void Xt(t);this._append();const e=this._getElement();this._config.isAnimated&&qt(e),e.classList.add(Xi),this._emulateAnimation((()=>{Xt(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Xi),this._emulateAnimation((()=>{this.dispose(),Xt(t)}))):Xt(t)}dispose(){this._isAppended&&(fe.off(this._element,Ui),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=Ht(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),fe.on(t,Ui,(()=>{Xt(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){Ut(t,this._getElement(),this._config.isAnimated)}}const tn=".bs.focustrap",en=`focusin${tn}`,nn=`keydown.tab${tn}`,sn="backward",on={autofocus:!0,trapElement:null},rn={autofocus:"boolean",trapElement:"element"};class an extends be{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return on}static get DefaultType(){return rn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),fe.off(document,tn),fe.on(document,en,(t=>this._handleFocusin(t))),fe.on(document,nn,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,fe.off(document,tn))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=we.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===sn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?sn:"forward")}}const ln=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",cn=".sticky-top",hn="padding-right",dn="margin-right";class un{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,hn,(e=>e+t)),this._setElementAttributes(ln,hn,(e=>e+t)),this._setElementAttributes(cn,dn,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,hn),this._resetElementAttributes(ln,hn),this._resetElementAttributes(cn,dn)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&_e.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=_e.getDataAttribute(t,e);null!==i?(_e.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(Ft(t))e(t);else for(const i of we.find(t,this._element))e(i)}}const fn=".bs.modal",pn=`hide${fn}`,mn=`hidePrevented${fn}`,gn=`hidden${fn}`,_n=`show${fn}`,bn=`shown${fn}`,vn=`resize${fn}`,yn=`click.dismiss${fn}`,wn=`mousedown.dismiss${fn}`,En=`keydown.dismiss${fn}`,An=`click${fn}.data-api`,Tn="modal-open",Cn="show",On="modal-static",xn={backdrop:!0,focus:!0,keyboard:!0},kn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class Ln extends ve{constructor(t,e){super(t,e),this._dialog=we.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new un,this._addEventListeners()}static get Default(){return xn}static get DefaultType(){return kn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||fe.trigger(this._element,_n,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(Tn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(fe.trigger(this._element,pn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(Cn),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){fe.off(window,fn),fe.off(this._dialog,fn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Zi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new an({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=we.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),qt(this._element),this._element.classList.add(Cn),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,fe.trigger(this._element,bn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){fe.on(this._element,En,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),fe.on(window,vn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),fe.on(this._element,wn,(t=>{fe.one(this._element,yn,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(Tn),this._resetAdjustments(),this._scrollBar.reset(),fe.trigger(this._element,gn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(fe.trigger(this._element,mn).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(On)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(On),this._queueCallback((()=>{this._element.classList.remove(On),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=Kt()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=Kt()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=Ln.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}fe.on(document,An,'[data-bs-toggle="modal"]',(function(t){const e=we.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),fe.one(e,_n,(t=>{t.defaultPrevented||fe.one(e,gn,(()=>{Bt(this)&&this.focus()}))}));const i=we.findOne(".modal.show");i&&Ln.getInstance(i).hide(),Ln.getOrCreateInstance(e).toggle(this)})),Ee(Ln),Qt(Ln);const Sn=".bs.offcanvas",Dn=".data-api",$n=`load${Sn}${Dn}`,In="show",Nn="showing",Pn="hiding",Mn=".offcanvas.show",jn=`show${Sn}`,Fn=`shown${Sn}`,Hn=`hide${Sn}`,Bn=`hidePrevented${Sn}`,Wn=`hidden${Sn}`,zn=`resize${Sn}`,Rn=`click${Sn}${Dn}`,qn=`keydown.dismiss${Sn}`,Vn={backdrop:!0,keyboard:!0,scroll:!1},Yn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class Kn extends ve{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return Vn}static get DefaultType(){return Yn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||fe.trigger(this._element,jn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new un).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Nn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(In),this._element.classList.remove(Nn),fe.trigger(this._element,Fn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(fe.trigger(this._element,Hn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add(Pn),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(In,Pn),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new un).reset(),fe.trigger(this._element,Wn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Zi({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():fe.trigger(this._element,Bn)}:null})}_initializeFocusTrap(){return new an({trapElement:this._element})}_addEventListeners(){fe.on(this._element,qn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():fe.trigger(this._element,Bn))}))}static jQueryInterface(t){return this.each((function(){const e=Kn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}fe.on(document,Rn,'[data-bs-toggle="offcanvas"]',(function(t){const e=we.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),Wt(this))return;fe.one(e,Wn,(()=>{Bt(this)&&this.focus()}));const i=we.findOne(Mn);i&&i!==e&&Kn.getInstance(i).hide(),Kn.getOrCreateInstance(e).toggle(this)})),fe.on(window,$n,(()=>{for(const t of we.find(Mn))Kn.getOrCreateInstance(t).show()})),fe.on(window,zn,(()=>{for(const t of we.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&Kn.getOrCreateInstance(t).hide()})),Ee(Kn),Qt(Kn);const Qn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],dd:[],div:[],dl:[],dt:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Xn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Un=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Gn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Xn.has(i)||Boolean(Un.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Jn={allowList:Qn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Zn={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},ts={entry:"(string|element|function|null)",selector:"(string|element)"};class es extends be{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Jn}static get DefaultType(){return Zn}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},ts)}_setContent(t,e,i){const n=we.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?Ft(e)?this._putElementInTemplate(Ht(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Gn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return Xt(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const is=new Set(["sanitize","allowList","sanitizeFn"]),ns="fade",ss="show",os=".tooltip-inner",rs=".modal",as="hide.bs.modal",ls="hover",cs="focus",hs={AUTO:"auto",TOP:"top",RIGHT:Kt()?"left":"right",BOTTOM:"bottom",LEFT:Kt()?"right":"left"},ds={allowList:Qn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},us={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class fs extends ve{constructor(t,i){if(void 0===e)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,i),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return ds}static get DefaultType(){return us}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),fe.off(this._element.closest(rs),as,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=fe.trigger(this._element,this.constructor.eventName("show")),e=(zt(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),fe.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(ss),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.on(t,"mouseover",Rt);this._queueCallback((()=>{fe.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!fe.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(ss),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.off(t,"mouseover",Rt);this._activeTrigger.click=!1,this._activeTrigger[cs]=!1,this._activeTrigger[ls]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),fe.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(ns,ss),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(ns),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new es({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{[os]:this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(ns)}_isShown(){return this.tip&&this.tip.classList.contains(ss)}_createPopper(t){const e=Xt(this._config.placement,[this,t,this._element]),i=hs[e.toUpperCase()];return Dt(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return Xt(t,[this._element])}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,...Xt(this._config.popperConfig,[e])}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)fe.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===ls?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===ls?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");fe.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?cs:ls]=!0,e._enter()})),fe.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?cs:ls]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},fe.on(this._element.closest(rs),as,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=_e.getDataAttributes(this._element);for(const t of Object.keys(e))is.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:Ht(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const[e,i]of Object.entries(this._config))this.constructor.Default[e]!==i&&(t[e]=i);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=fs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(fs);const ps=".popover-header",ms=".popover-body",gs={...fs.Default,content:"",offset:[0,8],placement:"right",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div class="popover-body"></div></div>',trigger:"click"},_s={...fs.DefaultType,content:"(null|string|element|function)"};class bs extends fs{static get Default(){return gs}static get DefaultType(){return _s}static get NAME(){return"popover"}_isWithContent(){return this._getTitle()||this._getContent()}_getContentForTemplate(){return{[ps]:this._getTitle(),[ms]:this._getContent()}}_getContent(){return this._resolvePossibleFunction(this._config.content)}static jQueryInterface(t){return this.each((function(){const e=bs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(bs);const vs=".bs.scrollspy",ys=`activate${vs}`,ws=`click${vs}`,Es=`load${vs}.data-api`,As="active",Ts="[href]",Cs=".nav-link",Os=`${Cs}, .nav-item > ${Cs}, .list-group-item`,xs={offset:null,rootMargin:"0px 0px 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"${t}"`);e[t]()}}))}}fe.on(document,Ps,Xs,(function(t){["A","AREA"].includes(this.tagName)&&t.preventDefault(),Wt(this)||Js.getOrCreateInstance(this).show()})),fe.on(window,js,(()=>{for(const t of we.find(Gs))Js.getOrCreateInstance(t)})),Qt(Js);const Zs=".bs.toast",to=`mouseover${Zs}`,eo=`mouseout${Zs}`,io=`focusin${Zs}`,no=`focusout${Zs}`,so=`hide${Zs}`,oo=`hidden${Zs}`,ro=`show${Zs}`,ao=`shown${Zs}`,lo="hide",co="show",ho="showing",uo={animation:"boolean",autohide:"boolean",delay:"number"},fo={animation:!0,autohide:!0,delay:5e3};class po extends ve{constructor(t,e){super(t,e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get Default(){return fo}static get DefaultType(){return uo}static get NAME(){return"toast"}show(){fe.trigger(this._element,ro).defaultPrevented||(this._clearTimeout(),this._config.animation&&this._element.classList.add("fade"),this._element.classList.remove(lo),qt(this._element),this._element.classList.add(co,ho),this._queueCallback((()=>{this._element.classList.remove(ho),fe.trigger(this._element,ao),this._maybeScheduleHide()}),this._element,this._config.animation))}hide(){this.isShown()&&(fe.trigger(this._element,so).defaultPrevented||(this._element.classList.add(ho),this._queueCallback((()=>{this._element.classList.add(lo),this._element.classList.remove(ho,co),fe.trigger(this._element,oo)}),this._element,this._config.animation)))}dispose(){this._clearTimeout(),this.isShown()&&this._element.classList.remove(co),super.dispose()}isShown(){return 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 //# sourceMappingURL=bootstrap.js.map
\ No newline at end of file
diff --git a/_static/scripts/bootstrap.js.LICENSE.txt b/_static/scripts/bootstrap.js.LICENSE.txt
index 91ad10a..28755c2 100644
--- a/_static/scripts/bootstrap.js.LICENSE.txt
+++ b/_static/scripts/bootstrap.js.LICENSE.txt
@@ -1,5 +1,5 @@
 /*!
-  * Bootstrap v5.2.3 (https://getbootstrap.com/)
-  * Copyright 2011-2022 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
+  * Bootstrap v5.3.3 (https://getbootstrap.com/)
+  * Copyright 2011-2024 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
   * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
   */
diff --git a/_static/scripts/bootstrap.js.map b/_static/scripts/bootstrap.js.map
index d83e2f7..e9e8158 100644
--- a/_static/scripts/bootstrap.js.map
+++ b/_static/scripts/bootstrap.js.map
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= 'end';\nexport var clippingParents = 'clippingParents';\nexport var viewport = 'viewport';\nexport var popper = 'popper';\nexport var reference = 'reference';\nexport var variationPlacements = /*#__PURE__*/basePlacements.reduce(function (acc, placement) {\n  return acc.concat([placement + \"-\" + start, placement + \"-\" + end]);\n}, []);\nexport var placements = /*#__PURE__*/[].concat(basePlacements, [auto]).reduce(function (acc, placement) {\n  return acc.concat([placement, placement + \"-\" + start, placement + \"-\" + end]);\n}, []); // modifiers that need to read the DOM\n\nexport var beforeRead = 'beforeRead';\nexport var read = 'read';\nexport var afterRead = 'afterRead'; // pure-logic modifiers\n\nexport var beforeMain = 'beforeMain';\nexport var main = 'main';\nexport var afterMain = 'afterMain'; // modifier with the purpose to write to the DOM (or write into a framework state)\n\nexport var beforeWrite = 'beforeWrite';\nexport var write = 'write';\nexport var afterWrite = 'afterWrite';\nexport var modifierPhases = [beforeRead, read, afterRead, beforeMain, main, afterMain, beforeWrite, write, afterWrite];","export default function getNodeName(element) {\n  return element ? (element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n  if (node == null) {\n    return window;\n  }\n\n  if (node.toString() !== '[object Window]') {\n    var ownerDocument = node.ownerDocument;\n    return ownerDocument ? ownerDocument.defaultView || window : window;\n  }\n\n  return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n  var OwnElement = getWindow(node).Element;\n  return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n  var OwnElement = getWindow(node).HTMLElement;\n  return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n  // IE 11 has no ShadowRoot\n  if (typeof ShadowRoot === 'undefined') {\n    return false;\n  }\n\n  var OwnElement = getWindow(node).ShadowRoot;\n  return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n  var state = _ref.state;\n  Object.keys(state.elements).forEach(function (name) {\n    var style = state.styles[name] || {};\n    var attributes = state.attributes[name] || {};\n    var element = state.elements[name]; // arrow is optional + virtual elements\n\n    if (!isHTMLElement(element) || !getNodeName(element)) {\n      return;\n    } // Flow doesn't support to extend this property, but it's the most\n    // effective way to apply styles to an HTMLElement\n    // $FlowFixMe[cannot-write]\n\n\n    Object.assign(element.style, style);\n    Object.keys(attributes).forEach(function (name) {\n      var value = attributes[name];\n\n      if (value === false) {\n        element.removeAttribute(name);\n      } else {\n        element.setAttribute(name, value === true ? '' : value);\n      }\n    });\n  });\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state;\n  var initialStyles = {\n    popper: {\n      position: state.options.strategy,\n      left: '0',\n      top: '0',\n      margin: '0'\n    },\n    arrow: {\n      position: 'absolute'\n    },\n    reference: {}\n  };\n  Object.assign(state.elements.popper.style, initialStyles.popper);\n  state.styles = initialStyles;\n\n  if (state.elements.arrow) {\n    Object.assign(state.elements.arrow.style, initialStyles.arrow);\n  }\n\n  return function () {\n    Object.keys(state.elements).forEach(function (name) {\n      var element = state.elements[name];\n      var attributes = state.attributes[name] || {};\n      var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n      var style = styleProperties.reduce(function (style, property) {\n        style[property] = '';\n        return style;\n      }, {}); // arrow is optional + virtual elements\n\n      if (!isHTMLElement(element) || !getNodeName(element)) {\n        return;\n      }\n\n      Object.assign(element.style, style);\n      Object.keys(attributes).forEach(function (attribute) {\n        element.removeAttribute(attribute);\n      });\n    });\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'applyStyles',\n  enabled: true,\n  phase: 'write',\n  fn: applyStyles,\n  effect: effect,\n  requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n  return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n  var uaData = navigator.userAgentData;\n\n  if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n    return uaData.brands.map(function (item) {\n      return item.brand + \"/\" + item.version;\n    }).join(' ');\n  }\n\n  return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n  return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n  if (includeScale === void 0) {\n    includeScale = false;\n  }\n\n  if (isFixedStrategy === void 0) {\n    isFixedStrategy = false;\n  }\n\n  var clientRect = element.getBoundingClientRect();\n  var scaleX = 1;\n  var scaleY = 1;\n\n  if (includeScale && isHTMLElement(element)) {\n    scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n    scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n  }\n\n  var _ref = isElement(element) ? getWindow(element) : window,\n      visualViewport = _ref.visualViewport;\n\n  var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n  var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n  var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n  var width = clientRect.width / scaleX;\n  var height = clientRect.height / scaleY;\n  return {\n    width: width,\n    height: height,\n    top: y,\n    right: x + width,\n    bottom: y + height,\n    left: x,\n    x: x,\n    y: y\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n  var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n  // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n  var width = element.offsetWidth;\n  var height = element.offsetHeight;\n\n  if (Math.abs(clientRect.width - width) <= 1) {\n    width = clientRect.width;\n  }\n\n  if (Math.abs(clientRect.height - height) <= 1) {\n    height = clientRect.height;\n  }\n\n  return {\n    x: element.offsetLeft,\n    y: element.offsetTop,\n    width: width,\n    height: height\n  };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n  var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n  if (parent.contains(child)) {\n    return true;\n  } // then fallback to custom implementation with Shadow DOM support\n  else if (rootNode && isShadowRoot(rootNode)) {\n      var next = child;\n\n      do {\n        if (next && parent.isSameNode(next)) {\n          return true;\n        } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n        next = next.parentNode || next.host;\n      } while (next);\n    } // Give up, the result is false\n\n\n  return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n  return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n  return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n  // $FlowFixMe[incompatible-return]: assume body is always available\n  return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n  element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n  if (getNodeName(element) === 'html') {\n    return element;\n  }\n\n  return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n    // $FlowFixMe[incompatible-return]\n    // $FlowFixMe[prop-missing]\n    element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n    element.parentNode || ( // DOM Element detected\n    isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n    // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n    getDocumentElement(element) // fallback\n\n  );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n  if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n  getComputedStyle(element).position === 'fixed') {\n    return null;\n  }\n\n  return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n  var isFirefox = /firefox/i.test(getUAString());\n  var isIE = /Trident/i.test(getUAString());\n\n  if (isIE && isHTMLElement(element)) {\n    // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n    var elementCss = getComputedStyle(element);\n\n    if (elementCss.position === 'fixed') {\n      return null;\n    }\n  }\n\n  var currentNode = getParentNode(element);\n\n  if (isShadowRoot(currentNode)) {\n    currentNode = currentNode.host;\n  }\n\n  while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n    var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n    // create a containing block.\n    // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n    if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n      return currentNode;\n    } else {\n      currentNode = currentNode.parentNode;\n    }\n  }\n\n  return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n  var window = getWindow(element);\n  var offsetParent = getTrueOffsetParent(element);\n\n  while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n    offsetParent = getTrueOffsetParent(offsetParent);\n  }\n\n  if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n    return window;\n  }\n\n  return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n  return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n  return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n  var v = within(min, value, max);\n  return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n  return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n  return {\n    top: 0,\n    right: 0,\n    bottom: 0,\n    left: 0\n  };\n}","export default function expandToHashMap(value, keys) {\n  return keys.reduce(function (hashMap, key) {\n    hashMap[key] = value;\n    return hashMap;\n  }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n  padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : padding;\n  return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n  var _state$modifiersData$;\n\n  var state = _ref.state,\n      name = _ref.name,\n      options = _ref.options;\n  var arrowElement = state.elements.arrow;\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var basePlacement = getBasePlacement(state.placement);\n  var axis = getMainAxisFromPlacement(basePlacement);\n  var isVertical = [left, right].indexOf(basePlacement) >= 0;\n  var len = isVertical ? 'height' : 'width';\n\n  if (!arrowElement || !popperOffsets) {\n    return;\n  }\n\n  var paddingObject = toPaddingObject(options.padding, state);\n  var arrowRect = getLayoutRect(arrowElement);\n  var minProp = axis === 'y' ? top : left;\n  var maxProp = axis === 'y' ? bottom : right;\n  var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n  var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n  var arrowOffsetParent = getOffsetParent(arrowElement);\n  var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n  var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n  // outside of the popper bounds\n\n  var min = paddingObject[minProp];\n  var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n  var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n  var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n  var axisProp = axis;\n  state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options;\n  var _options$element = options.element,\n      arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n  if (arrowElement == null) {\n    return;\n  } // CSS selector\n\n\n  if (typeof arrowElement === 'string') {\n    arrowElement = state.elements.popper.querySelector(arrowElement);\n\n    if (!arrowElement) {\n      return;\n    }\n  }\n\n  if (process.env.NODE_ENV !== \"production\") {\n    if (!isHTMLElement(arrowElement)) {\n      console.error(['Popper: \"arrow\" element must be an HTMLElement (not an SVGElement).', 'To use an SVG arrow, wrap it in an HTMLElement that will be used as', 'the arrow.'].join(' '));\n    }\n  }\n\n  if (!contains(state.elements.popper, arrowElement)) {\n    if (process.env.NODE_ENV !== \"production\") {\n      console.error(['Popper: \"arrow\" modifier\\'s `element` must be a child of the popper', 'element.'].join(' '));\n    }\n\n    return;\n  }\n\n  state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'arrow',\n  enabled: true,\n  phase: 'main',\n  fn: arrow,\n  effect: effect,\n  requires: ['popperOffsets'],\n  requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n  return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n  top: 'auto',\n  right: 'auto',\n  bottom: 'auto',\n  left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n  var x = _ref.x,\n      y = _ref.y;\n  var dpr = win.devicePixelRatio || 1;\n  return {\n    x: round(x * dpr) / dpr || 0,\n    y: round(y * dpr) / dpr || 0\n  };\n}\n\nexport function mapToStyles(_ref2) {\n  var _Object$assign2;\n\n  var popper = _ref2.popper,\n      popperRect = _ref2.popperRect,\n      placement = _ref2.placement,\n      variation = _ref2.variation,\n      offsets = _ref2.offsets,\n      position = _ref2.position,\n      gpuAcceleration = _ref2.gpuAcceleration,\n      adaptive = _ref2.adaptive,\n      roundOffsets = _ref2.roundOffsets,\n      isFixed = _ref2.isFixed;\n  var _offsets$x = offsets.x,\n      x = _offsets$x === void 0 ? 0 : _offsets$x,\n      _offsets$y = offsets.y,\n      y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n  var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref3.x;\n  y = _ref3.y;\n  var hasX = offsets.hasOwnProperty('x');\n  var hasY = offsets.hasOwnProperty('y');\n  var sideX = left;\n  var sideY = top;\n  var win = window;\n\n  if (adaptive) {\n    var offsetParent = getOffsetParent(popper);\n    var heightProp = 'clientHeight';\n    var widthProp = 'clientWidth';\n\n    if (offsetParent === getWindow(popper)) {\n      offsetParent = getDocumentElement(popper);\n\n      if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n        heightProp = 'scrollHeight';\n        widthProp = 'scrollWidth';\n      }\n    } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n    offsetParent = offsetParent;\n\n    if (placement === top || (placement === left || placement === right) && variation === end) {\n      sideY = bottom;\n      var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n      offsetParent[heightProp];\n      y -= offsetY - popperRect.height;\n      y *= gpuAcceleration ? 1 : -1;\n    }\n\n    if (placement === left || (placement === top || placement === bottom) && variation === end) {\n      sideX = right;\n      var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n      offsetParent[widthProp];\n      x -= offsetX - popperRect.width;\n      x *= gpuAcceleration ? 1 : -1;\n    }\n  }\n\n  var commonStyles = Object.assign({\n    position: position\n  }, adaptive && unsetSides);\n\n  var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n    x: x,\n    y: y\n  }, getWindow(popper)) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref4.x;\n  y = _ref4.y;\n\n  if (gpuAcceleration) {\n    var _Object$assign;\n\n    return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n  }\n\n  return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n  var state = _ref5.state,\n      options = _ref5.options;\n  var _options$gpuAccelerat = options.gpuAcceleration,\n      gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n      _options$adaptive = options.adaptive,\n      adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n      _options$roundOffsets = options.roundOffsets,\n      roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n\n  if (process.env.NODE_ENV !== \"production\") {\n    var transitionProperty = getComputedStyle(state.elements.popper).transitionProperty || '';\n\n    if (adaptive && ['transform', 'top', 'right', 'bottom', 'left'].some(function (property) {\n      return transitionProperty.indexOf(property) >= 0;\n    })) {\n      console.warn(['Popper: Detected CSS transitions on at least one of the following', 'CSS properties: \"transform\", \"top\", \"right\", \"bottom\", \"left\".', '\\n\\n', 'Disable the \"computeStyles\" modifier\\'s `adaptive` option to allow', 'for smooth transitions, or remove these properties from the CSS', 'transition declaration on the popper element if only transitioning', 'opacity or background-color for example.', '\\n\\n', 'We recommend using the popper element as a wrapper around an inner', 'element that can have any CSS property transitioned for animations.'].join(' '));\n    }\n  }\n\n  var commonStyles = {\n    placement: getBasePlacement(state.placement),\n    variation: getVariation(state.placement),\n    popper: state.elements.popper,\n    popperRect: state.rects.popper,\n    gpuAcceleration: gpuAcceleration,\n    isFixed: state.options.strategy === 'fixed'\n  };\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.popperOffsets,\n      position: state.options.strategy,\n      adaptive: adaptive,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  if (state.modifiersData.arrow != null) {\n    state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.arrow,\n      position: 'absolute',\n      adaptive: false,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-placement': state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'computeStyles',\n  enabled: true,\n  phase: 'beforeWrite',\n  fn: computeStyles,\n  data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n  passive: true\n};\n\nfunction effect(_ref) {\n  var state = _ref.state,\n      instance = _ref.instance,\n      options = _ref.options;\n  var _options$scroll = options.scroll,\n      scroll = _options$scroll === void 0 ? true : _options$scroll,\n      _options$resize = options.resize,\n      resize = _options$resize === void 0 ? true : _options$resize;\n  var window = getWindow(state.elements.popper);\n  var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n  if (scroll) {\n    scrollParents.forEach(function (scrollParent) {\n      scrollParent.addEventListener('scroll', instance.update, passive);\n    });\n  }\n\n  if (resize) {\n    window.addEventListener('resize', instance.update, passive);\n  }\n\n  return function () {\n    if (scroll) {\n      scrollParents.forEach(function (scrollParent) {\n        scrollParent.removeEventListener('scroll', instance.update, passive);\n      });\n    }\n\n    if (resize) {\n      window.removeEventListener('resize', instance.update, passive);\n    }\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'eventListeners',\n  enabled: true,\n  phase: 'write',\n  fn: function fn() {},\n  effect: effect,\n  data: {}\n};","var hash = {\n  left: 'right',\n  right: 'left',\n  bottom: 'top',\n  top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}","var hash = {\n  start: 'end',\n  end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n  return placement.replace(/start|end/g, function (matched) {\n    return hash[matched];\n  });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n  var win = getWindow(node);\n  var scrollLeft = win.pageXOffset;\n  var scrollTop = win.pageYOffset;\n  return {\n    scrollLeft: scrollLeft,\n    scrollTop: scrollTop\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n  // If <html> has a CSS width greater than the viewport, then this will be\n  // incorrect for RTL.\n  // Popper 1 is broken in this case and never had a bug report so let's assume\n  // it's not an issue. I don't think anyone ever specifies width on <html>\n  // anyway.\n  // Browsers where the left scrollbar doesn't cause an issue report `0` for\n  // this (e.g. Edge 2019, IE11, Safari)\n  return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n  // Firefox wants us to check `-x` and `-y` variations as well\n  var _getComputedStyle = getComputedStyle(element),\n      overflow = _getComputedStyle.overflow,\n      overflowX = _getComputedStyle.overflowX,\n      overflowY = _getComputedStyle.overflowY;\n\n  return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n  if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n    // $FlowFixMe[incompatible-return]: assume body is always available\n    return node.ownerDocument.body;\n  }\n\n  if (isHTMLElement(node) && isScrollParent(node)) {\n    return node;\n  }\n\n  return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n  var _element$ownerDocumen;\n\n  if (list === void 0) {\n    list = [];\n  }\n\n  var scrollParent = getScrollParent(element);\n  var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n  var win = getWindow(scrollParent);\n  var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n  var updatedList = list.concat(target);\n  return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n  updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n  return Object.assign({}, rect, {\n    left: rect.x,\n    top: rect.y,\n    right: rect.x + rect.width,\n    bottom: rect.y + rect.height\n  });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n  var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n  rect.top = rect.top + element.clientTop;\n  rect.left = rect.left + element.clientLeft;\n  rect.bottom = rect.top + element.clientHeight;\n  rect.right = rect.left + element.clientWidth;\n  rect.width = element.clientWidth;\n  rect.height = element.clientHeight;\n  rect.x = rect.left;\n  rect.y = rect.top;\n  return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n  return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n  var clippingParents = listScrollParents(getParentNode(element));\n  var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n  var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n  if (!isElement(clipperElement)) {\n    return [];\n  } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n  return clippingParents.filter(function (clippingParent) {\n    return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n  });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n  var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n  var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n  var firstClippingParent = clippingParents[0];\n  var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n    var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n    accRect.top = max(rect.top, accRect.top);\n    accRect.right = min(rect.right, accRect.right);\n    accRect.bottom = min(rect.bottom, accRect.bottom);\n    accRect.left = max(rect.left, accRect.left);\n    return accRect;\n  }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n  clippingRect.width = clippingRect.right - clippingRect.left;\n  clippingRect.height = clippingRect.bottom - clippingRect.top;\n  clippingRect.x = clippingRect.left;\n  clippingRect.y = clippingRect.top;\n  return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n  var win = getWindow(element);\n  var html = getDocumentElement(element);\n  var visualViewport = win.visualViewport;\n  var width = html.clientWidth;\n  var height = html.clientHeight;\n  var x = 0;\n  var y = 0;\n\n  if (visualViewport) {\n    width = visualViewport.width;\n    height = visualViewport.height;\n    var layoutViewport = isLayoutViewport();\n\n    if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n      x = visualViewport.offsetLeft;\n      y = visualViewport.offsetTop;\n    }\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x + getWindowScrollBarX(element),\n    y: y\n  };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n  var _element$ownerDocumen;\n\n  var html = getDocumentElement(element);\n  var winScroll = getWindowScroll(element);\n  var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n  var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n  var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n  var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n  var y = -winScroll.scrollTop;\n\n  if (getComputedStyle(body || html).direction === 'rtl') {\n    x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x,\n    y: y\n  };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n  var reference = _ref.reference,\n      element = _ref.element,\n      placement = _ref.placement;\n  var basePlacement = placement ? getBasePlacement(placement) : null;\n  var variation = placement ? getVariation(placement) : null;\n  var commonX = reference.x + reference.width / 2 - element.width / 2;\n  var commonY = reference.y + reference.height / 2 - element.height / 2;\n  var offsets;\n\n  switch (basePlacement) {\n    case top:\n      offsets = {\n        x: commonX,\n        y: reference.y - element.height\n      };\n      break;\n\n    case bottom:\n      offsets = {\n        x: commonX,\n        y: reference.y + reference.height\n      };\n      break;\n\n    case right:\n      offsets = {\n        x: reference.x + reference.width,\n        y: commonY\n      };\n      break;\n\n    case left:\n      offsets = {\n        x: reference.x - element.width,\n        y: commonY\n      };\n      break;\n\n    default:\n      offsets = {\n        x: reference.x,\n        y: reference.y\n      };\n  }\n\n  var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n  if (mainAxis != null) {\n    var len = mainAxis === 'y' ? 'height' : 'width';\n\n    switch (variation) {\n      case start:\n        offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n        break;\n\n      case end:\n        offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n        break;\n\n      default:\n    }\n  }\n\n  return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      _options$placement = _options.placement,\n      placement = _options$placement === void 0 ? state.placement : _options$placement,\n      _options$strategy = _options.strategy,\n      strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n      _options$boundary = _options.boundary,\n      boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n      _options$rootBoundary = _options.rootBoundary,\n      rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n      _options$elementConte = _options.elementContext,\n      elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n      _options$altBoundary = _options.altBoundary,\n      altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n      _options$padding = _options.padding,\n      padding = _options$padding === void 0 ? 0 : _options$padding;\n  var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n  var altContext = elementContext === popper ? reference : popper;\n  var popperRect = state.rects.popper;\n  var element = state.elements[altBoundary ? altContext : elementContext];\n  var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n  var referenceClientRect = getBoundingClientRect(state.elements.reference);\n  var popperOffsets = computeOffsets({\n    reference: referenceClientRect,\n    element: popperRect,\n    strategy: 'absolute',\n    placement: placement\n  });\n  var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n  var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n  // 0 or negative = within the clipping rect\n\n  var overflowOffsets = {\n    top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n    bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n    left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n    right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n  };\n  var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n  if (elementContext === popper && offsetData) {\n    var offset = offsetData[placement];\n    Object.keys(overflowOffsets).forEach(function (key) {\n      var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n      var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n      overflowOffsets[key] += offset[axis] * multiply;\n    });\n  }\n\n  return overflowOffsets;\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n  if (getBasePlacement(placement) === auto) {\n    return [];\n  }\n\n  var oppositePlacement = getOppositePlacement(placement);\n  return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n\n  if (state.modifiersData[name]._skip) {\n    return;\n  }\n\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n      specifiedFallbackPlacements = options.fallbackPlacements,\n      padding = options.padding,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      _options$flipVariatio = options.flipVariations,\n      flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n      allowedAutoPlacements = options.allowedAutoPlacements;\n  var preferredPlacement = state.options.placement;\n  var basePlacement = getBasePlacement(preferredPlacement);\n  var isBasePlacement = basePlacement === preferredPlacement;\n  var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n  var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n    return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding,\n      flipVariations: flipVariations,\n      allowedAutoPlacements: allowedAutoPlacements\n    }) : placement);\n  }, []);\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var checksMap = new Map();\n  var makeFallbackChecks = true;\n  var firstFittingPlacement = placements[0];\n\n  for (var i = 0; i < placements.length; i++) {\n    var placement = placements[i];\n\n    var _basePlacement = getBasePlacement(placement);\n\n    var isStartVariation = getVariation(placement) === start;\n    var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n    var len = isVertical ? 'width' : 'height';\n    var overflow = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      altBoundary: altBoundary,\n      padding: padding\n    });\n    var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n    if (referenceRect[len] > popperRect[len]) {\n      mainVariationSide = getOppositePlacement(mainVariationSide);\n    }\n\n    var altVariationSide = getOppositePlacement(mainVariationSide);\n    var checks = [];\n\n    if (checkMainAxis) {\n      checks.push(overflow[_basePlacement] <= 0);\n    }\n\n    if (checkAltAxis) {\n      checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n    }\n\n    if (checks.every(function (check) {\n      return check;\n    })) {\n      firstFittingPlacement = placement;\n      makeFallbackChecks = false;\n      break;\n    }\n\n    checksMap.set(placement, checks);\n  }\n\n  if (makeFallbackChecks) {\n    // `2` may be desired in some cases – research later\n    var numberOfChecks = flipVariations ? 3 : 1;\n\n    var _loop = function _loop(_i) {\n      var fittingPlacement = placements.find(function (placement) {\n        var checks = checksMap.get(placement);\n\n        if (checks) {\n          return checks.slice(0, _i).every(function (check) {\n            return check;\n          });\n        }\n      });\n\n      if (fittingPlacement) {\n        firstFittingPlacement = fittingPlacement;\n        return \"break\";\n      }\n    };\n\n    for (var _i = numberOfChecks; _i > 0; _i--) {\n      var _ret = _loop(_i);\n\n      if (_ret === \"break\") break;\n    }\n  }\n\n  if (state.placement !== firstFittingPlacement) {\n    state.modifiersData[name]._skip = true;\n    state.placement = firstFittingPlacement;\n    state.reset = true;\n  }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'flip',\n  enabled: true,\n  phase: 'main',\n  fn: flip,\n  requiresIfExists: ['offset'],\n  data: {\n    _skip: false\n  }\n};","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      placement = _options.placement,\n      boundary = _options.boundary,\n      rootBoundary = _options.rootBoundary,\n      padding = _options.padding,\n      flipVariations = _options.flipVariations,\n      _options$allowedAutoP = _options.allowedAutoPlacements,\n      allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n  var variation = getVariation(placement);\n  var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n    return getVariation(placement) === variation;\n  }) : basePlacements;\n  var allowedPlacements = placements.filter(function (placement) {\n    return allowedAutoPlacements.indexOf(placement) >= 0;\n  });\n\n  if (allowedPlacements.length === 0) {\n    allowedPlacements = placements;\n\n    if (process.env.NODE_ENV !== \"production\") {\n      console.error(['Popper: The `allowedAutoPlacements` option did not allow any', 'placements. Ensure the `placement` option matches the variation', 'of the allowed placements.', 'For example, \"auto\" cannot be used to allow \"bottom-start\".', 'Use \"auto-start\" instead.'].join(' '));\n    }\n  } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n  var overflows = allowedPlacements.reduce(function (acc, placement) {\n    acc[placement] = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding\n    })[getBasePlacement(placement)];\n    return acc;\n  }, {});\n  return Object.keys(overflows).sort(function (a, b) {\n    return overflows[a] - overflows[b];\n  });\n}","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n  if (preventedOffsets === void 0) {\n    preventedOffsets = {\n      x: 0,\n      y: 0\n    };\n  }\n\n  return {\n    top: overflow.top - rect.height - preventedOffsets.y,\n    right: overflow.right - rect.width + preventedOffsets.x,\n    bottom: overflow.bottom - rect.height + preventedOffsets.y,\n    left: overflow.left - rect.width - preventedOffsets.x\n  };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n  return [top, right, bottom, left].some(function (side) {\n    return overflow[side] >= 0;\n  });\n}\n\nfunction hide(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var preventedOffsets = state.modifiersData.preventOverflow;\n  var referenceOverflow = detectOverflow(state, {\n    elementContext: 'reference'\n  });\n  var popperAltOverflow = detectOverflow(state, {\n    altBoundary: true\n  });\n  var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n  var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n  var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n  var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n  state.modifiersData[name] = {\n    referenceClippingOffsets: referenceClippingOffsets,\n    popperEscapeOffsets: popperEscapeOffsets,\n    isReferenceHidden: isReferenceHidden,\n    hasPopperEscaped: hasPopperEscaped\n  };\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-reference-hidden': isReferenceHidden,\n    'data-popper-escaped': hasPopperEscaped\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'hide',\n  enabled: true,\n  phase: 'main',\n  requiresIfExists: ['preventOverflow'],\n  fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n  var basePlacement = getBasePlacement(placement);\n  var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n  var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n    placement: placement\n  })) : offset,\n      skidding = _ref[0],\n      distance = _ref[1];\n\n  skidding = skidding || 0;\n  distance = (distance || 0) * invertDistance;\n  return [left, right].indexOf(basePlacement) >= 0 ? {\n    x: distance,\n    y: skidding\n  } : {\n    x: skidding,\n    y: distance\n  };\n}\n\nfunction offset(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options,\n      name = _ref2.name;\n  var _options$offset = options.offset,\n      offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n  var data = placements.reduce(function (acc, placement) {\n    acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n    return acc;\n  }, {});\n  var _data$state$placement = data[state.placement],\n      x = _data$state$placement.x,\n      y = _data$state$placement.y;\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.modifiersData.popperOffsets.x += x;\n    state.modifiersData.popperOffsets.y += y;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'offset',\n  enabled: true,\n  phase: 'main',\n  requires: ['popperOffsets'],\n  fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  // Offsets are the actual position the popper needs to have to be\n  // properly positioned near its reference element\n  // This is the most basic placement, and will be adjusted by\n  // the modifiers in the next step\n  state.modifiersData[name] = computeOffsets({\n    reference: state.rects.reference,\n    element: state.rects.popper,\n    strategy: 'absolute',\n    placement: state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'popperOffsets',\n  enabled: true,\n  phase: 'read',\n  fn: popperOffsets,\n  data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      padding = options.padding,\n      _options$tether = options.tether,\n      tether = _options$tether === void 0 ? true : _options$tether,\n      _options$tetherOffset = options.tetherOffset,\n      tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n  var overflow = detectOverflow(state, {\n    boundary: boundary,\n    rootBoundary: rootBoundary,\n    padding: padding,\n    altBoundary: altBoundary\n  });\n  var basePlacement = getBasePlacement(state.placement);\n  var variation = getVariation(state.placement);\n  var isBasePlacement = !variation;\n  var mainAxis = getMainAxisFromPlacement(basePlacement);\n  var altAxis = getAltAxis(mainAxis);\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : tetherOffset;\n  var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n    mainAxis: tetherOffsetValue,\n    altAxis: tetherOffsetValue\n  } : Object.assign({\n    mainAxis: 0,\n    altAxis: 0\n  }, tetherOffsetValue);\n  var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n  var data = {\n    x: 0,\n    y: 0\n  };\n\n  if (!popperOffsets) {\n    return;\n  }\n\n  if (checkMainAxis) {\n    var _offsetModifierState$;\n\n    var mainSide = mainAxis === 'y' ? top : left;\n    var altSide = mainAxis === 'y' ? bottom : right;\n    var len = mainAxis === 'y' ? 'height' : 'width';\n    var offset = popperOffsets[mainAxis];\n    var min = offset + overflow[mainSide];\n    var max = offset - overflow[altSide];\n    var additive = tether ? -popperRect[len] / 2 : 0;\n    var minLen = variation === start ? referenceRect[len] : popperRect[len];\n    var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n    // outside the reference bounds\n\n    var arrowElement = state.elements.arrow;\n    var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n      width: 0,\n      height: 0\n    };\n    var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n    var arrowPaddingMin = arrowPaddingObject[mainSide];\n    var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n    // to include its full size in the calculation. If the reference is small\n    // and near the edge of a boundary, the popper can overflow even if the\n    // reference is not overflowing as well (e.g. virtual elements with no\n    // width or height)\n\n    var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n    var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n    var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n    var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n    var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n    var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n    var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n    var tetherMax = offset + maxOffset - offsetModifierValue;\n    var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n    popperOffsets[mainAxis] = preventedOffset;\n    data[mainAxis] = preventedOffset - offset;\n  }\n\n  if (checkAltAxis) {\n    var _offsetModifierState$2;\n\n    var _mainSide = mainAxis === 'x' ? top : left;\n\n    var _altSide = mainAxis === 'x' ? bottom : right;\n\n    var _offset = popperOffsets[altAxis];\n\n    var _len = altAxis === 'y' ? 'height' : 'width';\n\n    var _min = _offset + overflow[_mainSide];\n\n    var _max = _offset - overflow[_altSide];\n\n    var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n    var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n    var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n    var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n    var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n    popperOffsets[altAxis] = _preventedOffset;\n    data[altAxis] = _preventedOffset - _offset;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'preventOverflow',\n  enabled: true,\n  phase: 'main',\n  fn: preventOverflow,\n  requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n  return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n  var rect = element.getBoundingClientRect();\n  var scaleX = round(rect.width) / element.offsetWidth || 1;\n  var scaleY = round(rect.height) / element.offsetHeight || 1;\n  return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n  if (isFixed === void 0) {\n    isFixed = false;\n  }\n\n  var isOffsetParentAnElement = isHTMLElement(offsetParent);\n  var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n  var documentElement = getDocumentElement(offsetParent);\n  var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n  var scroll = {\n    scrollLeft: 0,\n    scrollTop: 0\n  };\n  var offsets = {\n    x: 0,\n    y: 0\n  };\n\n  if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n    if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n    isScrollParent(documentElement)) {\n      scroll = getNodeScroll(offsetParent);\n    }\n\n    if (isHTMLElement(offsetParent)) {\n      offsets = getBoundingClientRect(offsetParent, true);\n      offsets.x += offsetParent.clientLeft;\n      offsets.y += offsetParent.clientTop;\n    } else if (documentElement) {\n      offsets.x = getWindowScrollBarX(documentElement);\n    }\n  }\n\n  return {\n    x: rect.left + scroll.scrollLeft - offsets.x,\n    y: rect.top + scroll.scrollTop - offsets.y,\n    width: rect.width,\n    height: rect.height\n  };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n  if (node === getWindow(node) || !isHTMLElement(node)) {\n    return getWindowScroll(node);\n  } else {\n    return getHTMLElementScroll(node);\n  }\n}","export default function getHTMLElementScroll(element) {\n  return {\n    scrollLeft: element.scrollLeft,\n    scrollTop: element.scrollTop\n  };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n  var map = new Map();\n  var visited = new Set();\n  var result = [];\n  modifiers.forEach(function (modifier) {\n    map.set(modifier.name, modifier);\n  }); // On visiting object, check for its dependencies and visit them recursively\n\n  function sort(modifier) {\n    visited.add(modifier.name);\n    var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n    requires.forEach(function (dep) {\n      if (!visited.has(dep)) {\n        var depModifier = map.get(dep);\n\n        if (depModifier) {\n          sort(depModifier);\n        }\n      }\n    });\n    result.push(modifier);\n  }\n\n  modifiers.forEach(function (modifier) {\n    if (!visited.has(modifier.name)) {\n      // check for visited object\n      sort(modifier);\n    }\n  });\n  return result;\n}\n\nexport default function orderModifiers(modifiers) {\n  // order based on dependencies\n  var orderedModifiers = order(modifiers); // order based on phase\n\n  return modifierPhases.reduce(function (acc, phase) {\n    return acc.concat(orderedModifiers.filter(function (modifier) {\n      return modifier.phase === phase;\n    }));\n  }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport getComputedStyle from \"./dom-utils/getComputedStyle.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport validateModifiers from \"./utils/validateModifiers.js\";\nimport uniqueBy from \"./utils/uniqueBy.js\";\nimport getBasePlacement from \"./utils/getBasePlacement.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nimport { auto } from \"./enums.js\";\nvar INVALID_ELEMENT_ERROR = 'Popper: Invalid reference or popper argument provided. They must be either a DOM element or virtual element.';\nvar INFINITE_LOOP_ERROR = 'Popper: An infinite loop in the modifiers cycle has been detected! The cycle has been interrupted to prevent a browser crash.';\nvar DEFAULT_OPTIONS = {\n  placement: 'bottom',\n  modifiers: [],\n  strategy: 'absolute'\n};\n\nfunction areValidElements() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n\n  return !args.some(function (element) {\n    return !(element && typeof element.getBoundingClientRect === 'function');\n  });\n}\n\nexport function popperGenerator(generatorOptions) {\n  if (generatorOptions === void 0) {\n    generatorOptions = {};\n  }\n\n  var _generatorOptions = generatorOptions,\n      _generatorOptions$def = _generatorOptions.defaultModifiers,\n      defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n      _generatorOptions$def2 = _generatorOptions.defaultOptions,\n      defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n  return function createPopper(reference, popper, options) {\n    if (options === void 0) {\n      options = defaultOptions;\n    }\n\n    var state = {\n      placement: 'bottom',\n      orderedModifiers: [],\n      options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n      modifiersData: {},\n      elements: {\n        reference: reference,\n        popper: popper\n      },\n      attributes: {},\n      styles: {}\n    };\n    var effectCleanupFns = [];\n    var isDestroyed = false;\n    var instance = {\n      state: state,\n      setOptions: function setOptions(setOptionsAction) {\n        var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n        cleanupModifierEffects();\n        state.options = Object.assign({}, defaultOptions, state.options, options);\n        state.scrollParents = {\n          reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n          popper: listScrollParents(popper)\n        }; // Orders the modifiers based on their dependencies and `phase`\n        // properties\n\n        var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n        state.orderedModifiers = orderedModifiers.filter(function (m) {\n          return m.enabled;\n        }); // Validate the provided modifiers so that the consumer will get warned\n        // if one of the modifiers is invalid for any reason\n\n        if (process.env.NODE_ENV !== \"production\") {\n          var modifiers = uniqueBy([].concat(orderedModifiers, state.options.modifiers), function (_ref) {\n            var name = _ref.name;\n            return name;\n          });\n          validateModifiers(modifiers);\n\n          if (getBasePlacement(state.options.placement) === auto) {\n            var flipModifier = state.orderedModifiers.find(function (_ref2) {\n              var name = _ref2.name;\n              return name === 'flip';\n            });\n\n            if (!flipModifier) {\n              console.error(['Popper: \"auto\" placements require the \"flip\" modifier be', 'present and enabled to work.'].join(' '));\n            }\n          }\n\n          var _getComputedStyle = getComputedStyle(popper),\n              marginTop = _getComputedStyle.marginTop,\n              marginRight = _getComputedStyle.marginRight,\n              marginBottom = _getComputedStyle.marginBottom,\n              marginLeft = _getComputedStyle.marginLeft; // We no longer take into account `margins` on the popper, and it can\n          // cause bugs with positioning, so we'll warn the consumer\n\n\n          if ([marginTop, marginRight, marginBottom, marginLeft].some(function (margin) {\n            return parseFloat(margin);\n          })) {\n            console.warn(['Popper: CSS \"margin\" styles cannot be used to apply padding', 'between the popper and its reference element or boundary.', 'To replicate margin, use the `offset` modifier, as well as', 'the `padding` option in the `preventOverflow` and `flip`', 'modifiers.'].join(' '));\n          }\n        }\n\n        runModifierEffects();\n        return instance.update();\n      },\n      // Sync update – it will always be executed, even if not necessary. This\n      // is useful for low frequency updates where sync behavior simplifies the\n      // logic.\n      // For high frequency updates (e.g. `resize` and `scroll` events), always\n      // prefer the async Popper#update method\n      forceUpdate: function forceUpdate() {\n        if (isDestroyed) {\n          return;\n        }\n\n        var _state$elements = state.elements,\n            reference = _state$elements.reference,\n            popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n        // anymore\n\n        if (!areValidElements(reference, popper)) {\n          if (process.env.NODE_ENV !== \"production\") {\n            console.error(INVALID_ELEMENT_ERROR);\n          }\n\n          return;\n        } // Store the reference and popper rects to be read by modifiers\n\n\n        state.rects = {\n          reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n          popper: getLayoutRect(popper)\n        }; // Modifiers have the ability to reset the current update cycle. The\n        // most common use case for this is the `flip` modifier changing the\n        // placement, which then needs to re-run all the modifiers, because the\n        // logic was previously ran for the previous placement and is therefore\n        // stale/incorrect\n\n        state.reset = false;\n        state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n        // is filled with the initial data specified by the modifier. This means\n        // it doesn't persist and is fresh on each update.\n        // To ensure persistent data, use `${name}#persistent`\n\n        state.orderedModifiers.forEach(function (modifier) {\n          return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n        });\n        var __debug_loops__ = 0;\n\n        for (var index = 0; index < state.orderedModifiers.length; index++) {\n          if (process.env.NODE_ENV !== \"production\") {\n            __debug_loops__ += 1;\n\n            if (__debug_loops__ > 100) {\n              console.error(INFINITE_LOOP_ERROR);\n              break;\n            }\n          }\n\n          if (state.reset === true) {\n            state.reset = false;\n            index = -1;\n            continue;\n          }\n\n          var _state$orderedModifie = state.orderedModifiers[index],\n              fn = _state$orderedModifie.fn,\n              _state$orderedModifie2 = _state$orderedModifie.options,\n              _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n              name = _state$orderedModifie.name;\n\n          if (typeof fn === 'function') {\n            state = fn({\n              state: state,\n              options: _options,\n              name: name,\n              instance: instance\n            }) || state;\n          }\n        }\n      },\n      // Async and optimistically optimized update – it will not be executed if\n      // not necessary (debounced to run at most once-per-tick)\n      update: debounce(function () {\n        return new Promise(function (resolve) {\n          instance.forceUpdate();\n          resolve(state);\n        });\n      }),\n      destroy: function destroy() {\n        cleanupModifierEffects();\n        isDestroyed = true;\n      }\n    };\n\n    if (!areValidElements(reference, popper)) {\n      if (process.env.NODE_ENV !== \"production\") {\n        console.error(INVALID_ELEMENT_ERROR);\n      }\n\n      return instance;\n    }\n\n    instance.setOptions(options).then(function (state) {\n      if (!isDestroyed && options.onFirstUpdate) {\n        options.onFirstUpdate(state);\n      }\n    }); // Modifiers have the ability to execute arbitrary code before the first\n    // update cycle runs. They will be executed in the same order as the update\n    // cycle. This is useful when a modifier adds some persistent data that\n    // other modifiers need to use, but the modifier is run after the dependent\n    // one.\n\n    function runModifierEffects() {\n      state.orderedModifiers.forEach(function (_ref3) {\n        var name = _ref3.name,\n            _ref3$options = _ref3.options,\n            options = _ref3$options === void 0 ? {} : _ref3$options,\n            effect = _ref3.effect;\n\n        if (typeof effect === 'function') {\n          var cleanupFn = effect({\n            state: state,\n            name: name,\n            instance: instance,\n            options: options\n          });\n\n          var noopFn = function noopFn() {};\n\n          effectCleanupFns.push(cleanupFn || noopFn);\n        }\n      });\n    }\n\n    function cleanupModifierEffects() {\n      effectCleanupFns.forEach(function (fn) {\n        return fn();\n      });\n      effectCleanupFns = [];\n    }\n\n    return instance;\n  };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n  var pending;\n  return function () {\n    if (!pending) {\n      pending = new Promise(function (resolve) {\n        Promise.resolve().then(function () {\n          pending = undefined;\n          resolve(fn());\n        });\n      });\n    }\n\n    return pending;\n  };\n}","export default function mergeByName(modifiers) {\n  var merged = modifiers.reduce(function (merged, current) {\n    var existing = merged[current.name];\n    merged[current.name] = existing ? Object.assign({}, existing, current, {\n      options: Object.assign({}, existing.options, current.options),\n      data: Object.assign({}, existing.data, current.data)\n    }) : current;\n    return merged;\n  }, {}); // IE11 does not support Object.values\n\n  return Object.keys(merged).map(function (key) {\n    return merged[key];\n  });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","/*!\n  * Bootstrap v5.2.3 (https://getbootstrap.com/)\n  * Copyright 2011-2022 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)\n  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n  */\nimport * as Popper from '@popperjs/core';\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/index.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\nconst MAX_UID = 1000000;\nconst MILLISECONDS_MULTIPLIER = 1000;\nconst TRANSITION_END = 'transitionend'; // Shout-out Angus Croll (https://goo.gl/pxwQGp)\n\nconst toType = object => {\n  if (object === null || object === undefined) {\n    return `${object}`;\n  }\n\n  return Object.prototype.toString.call(object).match(/\\s([a-z]+)/i)[1].toLowerCase();\n};\n/**\n * Public Util API\n */\n\n\nconst getUID = prefix => {\n  do {\n    prefix += Math.floor(Math.random() * MAX_UID);\n  } while (document.getElementById(prefix));\n\n  return prefix;\n};\n\nconst getSelector = element => {\n  let selector = element.getAttribute('data-bs-target');\n\n  if (!selector || selector === '#') {\n    let hrefAttribute = element.getAttribute('href'); // The only valid content that could double as a selector are IDs or classes,\n    // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n    // `document.querySelector` will rightfully complain it is invalid.\n    // See https://github.com/twbs/bootstrap/issues/32273\n\n    if (!hrefAttribute || !hrefAttribute.includes('#') && !hrefAttribute.startsWith('.')) {\n      return null;\n    } // Just in case some CMS puts out a full URL with the anchor appended\n\n\n    if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n      hrefAttribute = `#${hrefAttribute.split('#')[1]}`;\n    }\n\n    selector = hrefAttribute && hrefAttribute !== '#' ? hrefAttribute.trim() : null;\n  }\n\n  return selector;\n};\n\nconst getSelectorFromElement = element => {\n  const selector = getSelector(element);\n\n  if (selector) {\n    return document.querySelector(selector) ? selector : null;\n  }\n\n  return null;\n};\n\nconst getElementFromSelector = element => {\n  const selector = getSelector(element);\n  return selector ? document.querySelector(selector) : null;\n};\n\nconst getTransitionDurationFromElement = element => {\n  if (!element) {\n    return 0;\n  } // Get transition-duration of the element\n\n\n  let {\n    transitionDuration,\n    transitionDelay\n  } = window.getComputedStyle(element);\n  const floatTransitionDuration = Number.parseFloat(transitionDuration);\n  const floatTransitionDelay = Number.parseFloat(transitionDelay); // Return 0 if element or transition duration is not found\n\n  if (!floatTransitionDuration && !floatTransitionDelay) {\n    return 0;\n  } // If multiple durations are defined, take the first\n\n\n  transitionDuration = transitionDuration.split(',')[0];\n  transitionDelay = transitionDelay.split(',')[0];\n  return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER;\n};\n\nconst triggerTransitionEnd = element => {\n  element.dispatchEvent(new Event(TRANSITION_END));\n};\n\nconst isElement = object => {\n  if (!object || typeof object !== 'object') {\n    return false;\n  }\n\n  if (typeof object.jquery !== 'undefined') {\n    object = object[0];\n  }\n\n  return typeof object.nodeType !== 'undefined';\n};\n\nconst getElement = object => {\n  // it's a jQuery object or a node element\n  if (isElement(object)) {\n    return object.jquery ? object[0] : object;\n  }\n\n  if (typeof object === 'string' && object.length > 0) {\n    return document.querySelector(object);\n  }\n\n  return null;\n};\n\nconst isVisible = element => {\n  if (!isElement(element) || element.getClientRects().length === 0) {\n    return false;\n  }\n\n  const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible'; // Handle `details` element as its content may falsie appear visible when it is closed\n\n  const closedDetails = element.closest('details:not([open])');\n\n  if (!closedDetails) {\n    return elementIsVisible;\n  }\n\n  if (closedDetails !== element) {\n    const summary = element.closest('summary');\n\n    if (summary && summary.parentNode !== closedDetails) {\n      return false;\n    }\n\n    if (summary === null) {\n      return false;\n    }\n  }\n\n  return elementIsVisible;\n};\n\nconst isDisabled = element => {\n  if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n    return true;\n  }\n\n  if (element.classList.contains('disabled')) {\n    return true;\n  }\n\n  if (typeof element.disabled !== 'undefined') {\n    return element.disabled;\n  }\n\n  return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false';\n};\n\nconst findShadowRoot = element => {\n  if (!document.documentElement.attachShadow) {\n    return null;\n  } // Can find the shadow root otherwise it'll return the document\n\n\n  if (typeof element.getRootNode === 'function') {\n    const root = element.getRootNode();\n    return root instanceof ShadowRoot ? root : null;\n  }\n\n  if (element instanceof ShadowRoot) {\n    return element;\n  } // when we don't find a shadow root\n\n\n  if (!element.parentNode) {\n    return null;\n  }\n\n  return findShadowRoot(element.parentNode);\n};\n\nconst noop = () => {};\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\n\n\nconst reflow = element => {\n  element.offsetHeight; // eslint-disable-line no-unused-expressions\n};\n\nconst getjQuery = () => {\n  if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n    return window.jQuery;\n  }\n\n  return null;\n};\n\nconst DOMContentLoadedCallbacks = [];\n\nconst onDOMContentLoaded = callback => {\n  if (document.readyState === 'loading') {\n    // add listener on the first call when the document is in loading state\n    if (!DOMContentLoadedCallbacks.length) {\n      document.addEventListener('DOMContentLoaded', () => {\n        for (const callback of DOMContentLoadedCallbacks) {\n          callback();\n        }\n      });\n    }\n\n    DOMContentLoadedCallbacks.push(callback);\n  } else {\n    callback();\n  }\n};\n\nconst isRTL = () => document.documentElement.dir === 'rtl';\n\nconst defineJQueryPlugin = plugin => {\n  onDOMContentLoaded(() => {\n    const $ = getjQuery();\n    /* istanbul ignore if */\n\n    if ($) {\n      const name = plugin.NAME;\n      const JQUERY_NO_CONFLICT = $.fn[name];\n      $.fn[name] = plugin.jQueryInterface;\n      $.fn[name].Constructor = plugin;\n\n      $.fn[name].noConflict = () => {\n        $.fn[name] = JQUERY_NO_CONFLICT;\n        return plugin.jQueryInterface;\n      };\n    }\n  });\n};\n\nconst execute = callback => {\n  if (typeof callback === 'function') {\n    callback();\n  }\n};\n\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n  if (!waitForTransition) {\n    execute(callback);\n    return;\n  }\n\n  const durationPadding = 5;\n  const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding;\n  let called = false;\n\n  const handler = ({\n    target\n  }) => {\n    if (target !== transitionElement) {\n      return;\n    }\n\n    called = true;\n    transitionElement.removeEventListener(TRANSITION_END, handler);\n    execute(callback);\n  };\n\n  transitionElement.addEventListener(TRANSITION_END, handler);\n  setTimeout(() => {\n    if (!called) {\n      triggerTransitionEnd(transitionElement);\n    }\n  }, emulatedDuration);\n};\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list    The list of elements\n * @param activeElement   The active element\n * @param shouldGetNext   Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\n\n\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n  const listLength = list.length;\n  let index = list.indexOf(activeElement); // if the element does not exist in the list return an element\n  // depending on the direction and if cycle is allowed\n\n  if (index === -1) {\n    return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0];\n  }\n\n  index += shouldGetNext ? 1 : -1;\n\n  if (isCycleAllowed) {\n    index = (index + listLength) % listLength;\n  }\n\n  return list[Math.max(0, Math.min(index, listLength - 1))];\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/;\nconst stripNameRegex = /\\..*/;\nconst stripUidRegex = /::\\d+$/;\nconst eventRegistry = {}; // Events storage\n\nlet uidEvent = 1;\nconst customEvents = {\n  mouseenter: 'mouseover',\n  mouseleave: 'mouseout'\n};\nconst nativeEvents = new Set(['click', 'dblclick', 'mouseup', 'mousedown', 'contextmenu', 'mousewheel', 'DOMMouseScroll', 'mouseover', 'mouseout', 'mousemove', 'selectstart', 'selectend', 'keydown', 'keypress', 'keyup', 'orientationchange', 'touchstart', 'touchmove', 'touchend', 'touchcancel', 'pointerdown', 'pointermove', 'pointerup', 'pointerleave', 'pointercancel', 'gesturestart', 'gesturechange', 'gestureend', 'focus', 'blur', 'change', 'reset', 'select', 'submit', 'focusin', 'focusout', 'load', 'unload', 'beforeunload', 'resize', 'move', 'DOMContentLoaded', 'readystatechange', 'error', 'abort', 'scroll']);\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n  return uid && `${uid}::${uidEvent++}` || element.uidEvent || uidEvent++;\n}\n\nfunction getElementEvents(element) {\n  const uid = makeEventUid(element);\n  element.uidEvent = uid;\n  eventRegistry[uid] = eventRegistry[uid] || {};\n  return eventRegistry[uid];\n}\n\nfunction bootstrapHandler(element, fn) {\n  return function handler(event) {\n    hydrateObj(event, {\n      delegateTarget: element\n    });\n\n    if (handler.oneOff) {\n      EventHandler.off(element, event.type, fn);\n    }\n\n    return fn.apply(element, [event]);\n  };\n}\n\nfunction bootstrapDelegationHandler(element, selector, fn) {\n  return function handler(event) {\n    const domElements = element.querySelectorAll(selector);\n\n    for (let {\n      target\n    } = event; target && target !== this; target = target.parentNode) {\n      for (const domElement of domElements) {\n        if (domElement !== target) {\n          continue;\n        }\n\n        hydrateObj(event, {\n          delegateTarget: target\n        });\n\n        if (handler.oneOff) {\n          EventHandler.off(element, event.type, selector, fn);\n        }\n\n        return fn.apply(target, [event]);\n      }\n    }\n  };\n}\n\nfunction findHandler(events, callable, delegationSelector = null) {\n  return Object.values(events).find(event => event.callable === callable && event.delegationSelector === delegationSelector);\n}\n\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n  const isDelegated = typeof handler === 'string'; // todo: tooltip passes `false` instead of selector, so we need to check\n\n  const callable = isDelegated ? delegationFunction : handler || delegationFunction;\n  let typeEvent = getTypeEvent(originalTypeEvent);\n\n  if (!nativeEvents.has(typeEvent)) {\n    typeEvent = originalTypeEvent;\n  }\n\n  return [isDelegated, callable, typeEvent];\n}\n\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n  if (typeof originalTypeEvent !== 'string' || !element) {\n    return;\n  }\n\n  let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction); // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n  // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n\n  if (originalTypeEvent in customEvents) {\n    const wrapFunction = fn => {\n      return function (event) {\n        if (!event.relatedTarget || event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget)) {\n          return fn.call(this, event);\n        }\n      };\n    };\n\n    callable = wrapFunction(callable);\n  }\n\n  const events = getElementEvents(element);\n  const handlers = events[typeEvent] || (events[typeEvent] = {});\n  const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null);\n\n  if (previousFunction) {\n    previousFunction.oneOff = previousFunction.oneOff && oneOff;\n    return;\n  }\n\n  const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''));\n  const fn = isDelegated ? bootstrapDelegationHandler(element, handler, callable) : bootstrapHandler(element, callable);\n  fn.delegationSelector = isDelegated ? handler : null;\n  fn.callable = callable;\n  fn.oneOff = oneOff;\n  fn.uidEvent = uid;\n  handlers[uid] = fn;\n  element.addEventListener(typeEvent, fn, isDelegated);\n}\n\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n  const fn = findHandler(events[typeEvent], handler, delegationSelector);\n\n  if (!fn) {\n    return;\n  }\n\n  element.removeEventListener(typeEvent, fn, Boolean(delegationSelector));\n  delete events[typeEvent][fn.uidEvent];\n}\n\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n  const storeElementEvent = events[typeEvent] || {};\n\n  for (const handlerKey of Object.keys(storeElementEvent)) {\n    if (handlerKey.includes(namespace)) {\n      const event = storeElementEvent[handlerKey];\n      removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n    }\n  }\n}\n\nfunction getTypeEvent(event) {\n  // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n  event = event.replace(stripNameRegex, '');\n  return customEvents[event] || event;\n}\n\nconst EventHandler = {\n  on(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, false);\n  },\n\n  one(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, true);\n  },\n\n  off(element, originalTypeEvent, handler, delegationFunction) {\n    if (typeof originalTypeEvent !== 'string' || !element) {\n      return;\n    }\n\n    const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n    const inNamespace = typeEvent !== originalTypeEvent;\n    const events = getElementEvents(element);\n    const storeElementEvent = events[typeEvent] || {};\n    const isNamespace = originalTypeEvent.startsWith('.');\n\n    if (typeof callable !== 'undefined') {\n      // Simplest case: handler is passed, remove that listener ONLY.\n      if (!Object.keys(storeElementEvent).length) {\n        return;\n      }\n\n      removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null);\n      return;\n    }\n\n    if (isNamespace) {\n      for (const elementEvent of Object.keys(events)) {\n        removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1));\n      }\n    }\n\n    for (const keyHandlers of Object.keys(storeElementEvent)) {\n      const handlerKey = keyHandlers.replace(stripUidRegex, '');\n\n      if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n        const event = storeElementEvent[keyHandlers];\n        removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n      }\n    }\n  },\n\n  trigger(element, event, args) {\n    if (typeof event !== 'string' || !element) {\n      return null;\n    }\n\n    const $ = getjQuery();\n    const typeEvent = getTypeEvent(event);\n    const inNamespace = event !== typeEvent;\n    let jQueryEvent = null;\n    let bubbles = true;\n    let nativeDispatch = true;\n    let defaultPrevented = false;\n\n    if (inNamespace && $) {\n      jQueryEvent = $.Event(event, args);\n      $(element).trigger(jQueryEvent);\n      bubbles = !jQueryEvent.isPropagationStopped();\n      nativeDispatch = !jQueryEvent.isImmediatePropagationStopped();\n      defaultPrevented = jQueryEvent.isDefaultPrevented();\n    }\n\n    let evt = new Event(event, {\n      bubbles,\n      cancelable: true\n    });\n    evt = hydrateObj(evt, args);\n\n    if (defaultPrevented) {\n      evt.preventDefault();\n    }\n\n    if (nativeDispatch) {\n      element.dispatchEvent(evt);\n    }\n\n    if (evt.defaultPrevented && jQueryEvent) {\n      jQueryEvent.preventDefault();\n    }\n\n    return evt;\n  }\n\n};\n\nfunction hydrateObj(obj, meta) {\n  for (const [key, value] of Object.entries(meta || {})) {\n    try {\n      obj[key] = value;\n    } catch (_unused) {\n      Object.defineProperty(obj, key, {\n        configurable: true,\n\n        get() {\n          return value;\n        }\n\n      });\n    }\n  }\n\n  return obj;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * Constants\n */\nconst elementMap = new Map();\nconst Data = {\n  set(element, key, instance) {\n    if (!elementMap.has(element)) {\n      elementMap.set(element, new Map());\n    }\n\n    const instanceMap = elementMap.get(element); // make it clear we only want one instance per element\n    // can be removed later when multiple key/instances are fine to be used\n\n    if (!instanceMap.has(key) && instanceMap.size !== 0) {\n      // eslint-disable-next-line no-console\n      console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`);\n      return;\n    }\n\n    instanceMap.set(key, instance);\n  },\n\n  get(element, key) {\n    if (elementMap.has(element)) {\n      return elementMap.get(element).get(key) || null;\n    }\n\n    return null;\n  },\n\n  remove(element, key) {\n    if (!elementMap.has(element)) {\n      return;\n    }\n\n    const instanceMap = elementMap.get(element);\n    instanceMap.delete(key); // free up element references if there are no instances left for an element\n\n    if (instanceMap.size === 0) {\n      elementMap.delete(element);\n    }\n  }\n\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\nfunction normalizeData(value) {\n  if (value === 'true') {\n    return true;\n  }\n\n  if (value === 'false') {\n    return false;\n  }\n\n  if (value === Number(value).toString()) {\n    return Number(value);\n  }\n\n  if (value === '' || value === 'null') {\n    return null;\n  }\n\n  if (typeof value !== 'string') {\n    return value;\n  }\n\n  try {\n    return JSON.parse(decodeURIComponent(value));\n  } catch (_unused) {\n    return value;\n  }\n}\n\nfunction normalizeDataKey(key) {\n  return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`);\n}\n\nconst Manipulator = {\n  setDataAttribute(element, key, value) {\n    element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value);\n  },\n\n  removeDataAttribute(element, key) {\n    element.removeAttribute(`data-bs-${normalizeDataKey(key)}`);\n  },\n\n  getDataAttributes(element) {\n    if (!element) {\n      return {};\n    }\n\n    const attributes = {};\n    const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'));\n\n    for (const key of bsKeys) {\n      let pureKey = key.replace(/^bs/, '');\n      pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length);\n      attributes[pureKey] = normalizeData(element.dataset[key]);\n    }\n\n    return attributes;\n  },\n\n  getDataAttribute(element, key) {\n    return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`));\n  }\n\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Class definition\n */\n\nclass Config {\n  // Getters\n  static get Default() {\n    return {};\n  }\n\n  static get DefaultType() {\n    return {};\n  }\n\n  static get NAME() {\n    throw new Error('You have to implement the static method \"NAME\", for each component!');\n  }\n\n  _getConfig(config) {\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n\n    this._typeCheckConfig(config);\n\n    return config;\n  }\n\n  _configAfterMerge(config) {\n    return config;\n  }\n\n  _mergeConfigObj(config, element) {\n    const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {}; // try to parse\n\n    return { ...this.constructor.Default,\n      ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n      ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n      ...(typeof config === 'object' ? config : {})\n    };\n  }\n\n  _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n    for (const property of Object.keys(configTypes)) {\n      const expectedTypes = configTypes[property];\n      const value = config[property];\n      const valueType = isElement(value) ? 'element' : toType(value);\n\n      if (!new RegExp(expectedTypes).test(valueType)) {\n        throw new TypeError(`${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`);\n      }\n    }\n  }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst VERSION = '5.2.3';\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n  constructor(element, config) {\n    super();\n    element = getElement(element);\n\n    if (!element) {\n      return;\n    }\n\n    this._element = element;\n    this._config = this._getConfig(config);\n    Data.set(this._element, this.constructor.DATA_KEY, this);\n  } // Public\n\n\n  dispose() {\n    Data.remove(this._element, this.constructor.DATA_KEY);\n    EventHandler.off(this._element, this.constructor.EVENT_KEY);\n\n    for (const propertyName of Object.getOwnPropertyNames(this)) {\n      this[propertyName] = null;\n    }\n  }\n\n  _queueCallback(callback, element, isAnimated = true) {\n    executeAfterTransition(callback, element, isAnimated);\n  }\n\n  _getConfig(config) {\n    config = this._mergeConfigObj(config, this._element);\n    config = this._configAfterMerge(config);\n\n    this._typeCheckConfig(config);\n\n    return config;\n  } // Static\n\n\n  static getInstance(element) {\n    return Data.get(getElement(element), this.DATA_KEY);\n  }\n\n  static getOrCreateInstance(element, config = {}) {\n    return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null);\n  }\n\n  static get VERSION() {\n    return VERSION;\n  }\n\n  static get DATA_KEY() {\n    return `bs.${this.NAME}`;\n  }\n\n  static get EVENT_KEY() {\n    return `.${this.DATA_KEY}`;\n  }\n\n  static eventName(name) {\n    return `${name}${this.EVENT_KEY}`;\n  }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n  const clickEvent = `click.dismiss${component.EVENT_KEY}`;\n  const name = component.NAME;\n  EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n    if (['A', 'AREA'].includes(this.tagName)) {\n      event.preventDefault();\n    }\n\n    if (isDisabled(this)) {\n      return;\n    }\n\n    const target = getElementFromSelector(this) || this.closest(`.${name}`);\n    const instance = component.getOrCreateInstance(target); // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n\n    instance[method]();\n  });\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$f = 'alert';\nconst DATA_KEY$a = 'bs.alert';\nconst EVENT_KEY$b = `.${DATA_KEY$a}`;\nconst EVENT_CLOSE = `close${EVENT_KEY$b}`;\nconst EVENT_CLOSED = `closed${EVENT_KEY$b}`;\nconst CLASS_NAME_FADE$5 = 'fade';\nconst CLASS_NAME_SHOW$8 = 'show';\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$f;\n  } // Public\n\n\n  close() {\n    const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE);\n\n    if (closeEvent.defaultPrevented) {\n      return;\n    }\n\n    this._element.classList.remove(CLASS_NAME_SHOW$8);\n\n    const isAnimated = this._element.classList.contains(CLASS_NAME_FADE$5);\n\n    this._queueCallback(() => this._destroyElement(), this._element, isAnimated);\n  } // Private\n\n\n  _destroyElement() {\n    this._element.remove();\n\n    EventHandler.trigger(this._element, EVENT_CLOSED);\n    this.dispose();\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Alert.getOrCreateInstance(this);\n\n      if (typeof config !== 'string') {\n        return;\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n\n      data[config](this);\n    });\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nenableDismissTrigger(Alert, 'close');\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$e = 'button';\nconst DATA_KEY$9 = 'bs.button';\nconst EVENT_KEY$a = `.${DATA_KEY$9}`;\nconst DATA_API_KEY$6 = '.data-api';\nconst CLASS_NAME_ACTIVE$3 = 'active';\nconst SELECTOR_DATA_TOGGLE$5 = '[data-bs-toggle=\"button\"]';\nconst EVENT_CLICK_DATA_API$6 = `click${EVENT_KEY$a}${DATA_API_KEY$6}`;\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$e;\n  } // Public\n\n\n  toggle() {\n    // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n    this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE$3));\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Button.getOrCreateInstance(this);\n\n      if (config === 'toggle') {\n        data[config]();\n      }\n    });\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$6, SELECTOR_DATA_TOGGLE$5, event => {\n  event.preventDefault();\n  const button = event.target.closest(SELECTOR_DATA_TOGGLE$5);\n  const data = Button.getOrCreateInstance(button);\n  data.toggle();\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst SelectorEngine = {\n  find(selector, element = document.documentElement) {\n    return [].concat(...Element.prototype.querySelectorAll.call(element, selector));\n  },\n\n  findOne(selector, element = document.documentElement) {\n    return Element.prototype.querySelector.call(element, selector);\n  },\n\n  children(element, selector) {\n    return [].concat(...element.children).filter(child => child.matches(selector));\n  },\n\n  parents(element, selector) {\n    const parents = [];\n    let ancestor = element.parentNode.closest(selector);\n\n    while (ancestor) {\n      parents.push(ancestor);\n      ancestor = ancestor.parentNode.closest(selector);\n    }\n\n    return parents;\n  },\n\n  prev(element, selector) {\n    let previous = element.previousElementSibling;\n\n    while (previous) {\n      if (previous.matches(selector)) {\n        return [previous];\n      }\n\n      previous = previous.previousElementSibling;\n    }\n\n    return [];\n  },\n\n  // TODO: this is now unused; remove later along with prev()\n  next(element, selector) {\n    let next = element.nextElementSibling;\n\n    while (next) {\n      if (next.matches(selector)) {\n        return [next];\n      }\n\n      next = next.nextElementSibling;\n    }\n\n    return [];\n  },\n\n  focusableChildren(element) {\n    const focusables = ['a', 'button', 'input', 'textarea', 'select', 'details', '[tabindex]', '[contenteditable=\"true\"]'].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',');\n    return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el));\n  }\n\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$d = 'swipe';\nconst EVENT_KEY$9 = '.bs.swipe';\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY$9}`;\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY$9}`;\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY$9}`;\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY$9}`;\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY$9}`;\nconst POINTER_TYPE_TOUCH = 'touch';\nconst POINTER_TYPE_PEN = 'pen';\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event';\nconst SWIPE_THRESHOLD = 40;\nconst Default$c = {\n  endCallback: null,\n  leftCallback: null,\n  rightCallback: null\n};\nconst DefaultType$c = {\n  endCallback: '(function|null)',\n  leftCallback: '(function|null)',\n  rightCallback: '(function|null)'\n};\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n  constructor(element, config) {\n    super();\n    this._element = element;\n\n    if (!element || !Swipe.isSupported()) {\n      return;\n    }\n\n    this._config = this._getConfig(config);\n    this._deltaX = 0;\n    this._supportPointerEvents = Boolean(window.PointerEvent);\n\n    this._initEvents();\n  } // Getters\n\n\n  static get Default() {\n    return Default$c;\n  }\n\n  static get DefaultType() {\n    return DefaultType$c;\n  }\n\n  static get NAME() {\n    return NAME$d;\n  } // Public\n\n\n  dispose() {\n    EventHandler.off(this._element, EVENT_KEY$9);\n  } // Private\n\n\n  _start(event) {\n    if (!this._supportPointerEvents) {\n      this._deltaX = event.touches[0].clientX;\n      return;\n    }\n\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX;\n    }\n  }\n\n  _end(event) {\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX - this._deltaX;\n    }\n\n    this._handleSwipe();\n\n    execute(this._config.endCallback);\n  }\n\n  _move(event) {\n    this._deltaX = event.touches && event.touches.length > 1 ? 0 : event.touches[0].clientX - this._deltaX;\n  }\n\n  _handleSwipe() {\n    const absDeltaX = Math.abs(this._deltaX);\n\n    if (absDeltaX <= SWIPE_THRESHOLD) {\n      return;\n    }\n\n    const direction = absDeltaX / this._deltaX;\n    this._deltaX = 0;\n\n    if (!direction) {\n      return;\n    }\n\n    execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback);\n  }\n\n  _initEvents() {\n    if (this._supportPointerEvents) {\n      EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event));\n      EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event));\n\n      this._element.classList.add(CLASS_NAME_POINTER_EVENT);\n    } else {\n      EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event));\n      EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event));\n      EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event));\n    }\n  }\n\n  _eventIsPointerPenTouch(event) {\n    return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH);\n  } // Static\n\n\n  static isSupported() {\n    return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0;\n  }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$c = 'carousel';\nconst DATA_KEY$8 = 'bs.carousel';\nconst EVENT_KEY$8 = `.${DATA_KEY$8}`;\nconst DATA_API_KEY$5 = '.data-api';\nconst ARROW_LEFT_KEY$1 = 'ArrowLeft';\nconst ARROW_RIGHT_KEY$1 = 'ArrowRight';\nconst TOUCHEVENT_COMPAT_WAIT = 500; // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next';\nconst ORDER_PREV = 'prev';\nconst DIRECTION_LEFT = 'left';\nconst DIRECTION_RIGHT = 'right';\nconst EVENT_SLIDE = `slide${EVENT_KEY$8}`;\nconst EVENT_SLID = `slid${EVENT_KEY$8}`;\nconst EVENT_KEYDOWN$1 = `keydown${EVENT_KEY$8}`;\nconst EVENT_MOUSEENTER$1 = `mouseenter${EVENT_KEY$8}`;\nconst EVENT_MOUSELEAVE$1 = `mouseleave${EVENT_KEY$8}`;\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY$8}`;\nconst EVENT_LOAD_DATA_API$3 = `load${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst EVENT_CLICK_DATA_API$5 = `click${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst CLASS_NAME_CAROUSEL = 'carousel';\nconst CLASS_NAME_ACTIVE$2 = 'active';\nconst CLASS_NAME_SLIDE = 'slide';\nconst CLASS_NAME_END = 'carousel-item-end';\nconst CLASS_NAME_START = 'carousel-item-start';\nconst CLASS_NAME_NEXT = 'carousel-item-next';\nconst CLASS_NAME_PREV = 'carousel-item-prev';\nconst SELECTOR_ACTIVE = '.active';\nconst SELECTOR_ITEM = '.carousel-item';\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM;\nconst SELECTOR_ITEM_IMG = '.carousel-item img';\nconst SELECTOR_INDICATORS = '.carousel-indicators';\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]';\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]';\nconst KEY_TO_DIRECTION = {\n  [ARROW_LEFT_KEY$1]: DIRECTION_RIGHT,\n  [ARROW_RIGHT_KEY$1]: DIRECTION_LEFT\n};\nconst Default$b = {\n  interval: 5000,\n  keyboard: true,\n  pause: 'hover',\n  ride: false,\n  touch: true,\n  wrap: true\n};\nconst DefaultType$b = {\n  interval: '(number|boolean)',\n  // TODO:v6 remove boolean support\n  keyboard: 'boolean',\n  pause: '(string|boolean)',\n  ride: '(boolean|string)',\n  touch: 'boolean',\n  wrap: 'boolean'\n};\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._interval = null;\n    this._activeElement = null;\n    this._isSliding = false;\n    this.touchTimeout = null;\n    this._swipeHelper = null;\n    this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element);\n\n    this._addEventListeners();\n\n    if (this._config.ride === CLASS_NAME_CAROUSEL) {\n      this.cycle();\n    }\n  } // Getters\n\n\n  static get Default() {\n    return Default$b;\n  }\n\n  static get DefaultType() {\n    return DefaultType$b;\n  }\n\n  static get NAME() {\n    return NAME$c;\n  } // Public\n\n\n  next() {\n    this._slide(ORDER_NEXT);\n  }\n\n  nextWhenVisible() {\n    // FIXME TODO use `document.visibilityState`\n    // Don't call next when the page isn't visible\n    // or the carousel or its parent isn't visible\n    if (!document.hidden && isVisible(this._element)) {\n      this.next();\n    }\n  }\n\n  prev() {\n    this._slide(ORDER_PREV);\n  }\n\n  pause() {\n    if (this._isSliding) {\n      triggerTransitionEnd(this._element);\n    }\n\n    this._clearInterval();\n  }\n\n  cycle() {\n    this._clearInterval();\n\n    this._updateInterval();\n\n    this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval);\n  }\n\n  _maybeEnableCycle() {\n    if (!this._config.ride) {\n      return;\n    }\n\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.cycle());\n      return;\n    }\n\n    this.cycle();\n  }\n\n  to(index) {\n    const items = this._getItems();\n\n    if (index > items.length - 1 || index < 0) {\n      return;\n    }\n\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.to(index));\n      return;\n    }\n\n    const activeIndex = this._getItemIndex(this._getActive());\n\n    if (activeIndex === index) {\n      return;\n    }\n\n    const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV;\n\n    this._slide(order, items[index]);\n  }\n\n  dispose() {\n    if (this._swipeHelper) {\n      this._swipeHelper.dispose();\n    }\n\n    super.dispose();\n  } // Private\n\n\n  _configAfterMerge(config) {\n    config.defaultInterval = config.interval;\n    return config;\n  }\n\n  _addEventListeners() {\n    if (this._config.keyboard) {\n      EventHandler.on(this._element, EVENT_KEYDOWN$1, event => this._keydown(event));\n    }\n\n    if (this._config.pause === 'hover') {\n      EventHandler.on(this._element, EVENT_MOUSEENTER$1, () => this.pause());\n      EventHandler.on(this._element, EVENT_MOUSELEAVE$1, () => this._maybeEnableCycle());\n    }\n\n    if (this._config.touch && Swipe.isSupported()) {\n      this._addTouchEventListeners();\n    }\n  }\n\n  _addTouchEventListeners() {\n    for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n      EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault());\n    }\n\n    const endCallBack = () => {\n      if (this._config.pause !== 'hover') {\n        return;\n      } // If it's a touch-enabled device, mouseenter/leave are fired as\n      // part of the mouse compatibility events on first tap - the carousel\n      // would stop cycling until user tapped out of it;\n      // here, we listen for touchend, explicitly pause the carousel\n      // (as if it's the second time we tap on it, mouseenter compat event\n      // is NOT fired) and after a timeout (to allow for mouse compatibility\n      // events to fire) we explicitly restart cycling\n\n\n      this.pause();\n\n      if (this.touchTimeout) {\n        clearTimeout(this.touchTimeout);\n      }\n\n      this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval);\n    };\n\n    const swipeConfig = {\n      leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n      rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n      endCallback: endCallBack\n    };\n    this._swipeHelper = new Swipe(this._element, swipeConfig);\n  }\n\n  _keydown(event) {\n    if (/input|textarea/i.test(event.target.tagName)) {\n      return;\n    }\n\n    const direction = KEY_TO_DIRECTION[event.key];\n\n    if (direction) {\n      event.preventDefault();\n\n      this._slide(this._directionToOrder(direction));\n    }\n  }\n\n  _getItemIndex(element) {\n    return this._getItems().indexOf(element);\n  }\n\n  _setActiveIndicatorElement(index) {\n    if (!this._indicatorsElement) {\n      return;\n    }\n\n    const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement);\n    activeIndicator.classList.remove(CLASS_NAME_ACTIVE$2);\n    activeIndicator.removeAttribute('aria-current');\n    const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement);\n\n    if (newActiveIndicator) {\n      newActiveIndicator.classList.add(CLASS_NAME_ACTIVE$2);\n      newActiveIndicator.setAttribute('aria-current', 'true');\n    }\n  }\n\n  _updateInterval() {\n    const element = this._activeElement || this._getActive();\n\n    if (!element) {\n      return;\n    }\n\n    const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10);\n    this._config.interval = elementInterval || this._config.defaultInterval;\n  }\n\n  _slide(order, element = null) {\n    if (this._isSliding) {\n      return;\n    }\n\n    const activeElement = this._getActive();\n\n    const isNext = order === ORDER_NEXT;\n    const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap);\n\n    if (nextElement === activeElement) {\n      return;\n    }\n\n    const nextElementIndex = this._getItemIndex(nextElement);\n\n    const triggerEvent = eventName => {\n      return EventHandler.trigger(this._element, eventName, {\n        relatedTarget: nextElement,\n        direction: this._orderToDirection(order),\n        from: this._getItemIndex(activeElement),\n        to: nextElementIndex\n      });\n    };\n\n    const slideEvent = triggerEvent(EVENT_SLIDE);\n\n    if (slideEvent.defaultPrevented) {\n      return;\n    }\n\n    if (!activeElement || !nextElement) {\n      // Some weirdness is happening, so we bail\n      // todo: change tests that use empty divs to avoid this check\n      return;\n    }\n\n    const isCycling = Boolean(this._interval);\n    this.pause();\n    this._isSliding = true;\n\n    this._setActiveIndicatorElement(nextElementIndex);\n\n    this._activeElement = nextElement;\n    const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END;\n    const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV;\n    nextElement.classList.add(orderClassName);\n    reflow(nextElement);\n    activeElement.classList.add(directionalClassName);\n    nextElement.classList.add(directionalClassName);\n\n    const completeCallBack = () => {\n      nextElement.classList.remove(directionalClassName, orderClassName);\n      nextElement.classList.add(CLASS_NAME_ACTIVE$2);\n      activeElement.classList.remove(CLASS_NAME_ACTIVE$2, orderClassName, directionalClassName);\n      this._isSliding = false;\n      triggerEvent(EVENT_SLID);\n    };\n\n    this._queueCallback(completeCallBack, activeElement, this._isAnimated());\n\n    if (isCycling) {\n      this.cycle();\n    }\n  }\n\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_SLIDE);\n  }\n\n  _getActive() {\n    return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element);\n  }\n\n  _getItems() {\n    return SelectorEngine.find(SELECTOR_ITEM, this._element);\n  }\n\n  _clearInterval() {\n    if (this._interval) {\n      clearInterval(this._interval);\n      this._interval = null;\n    }\n  }\n\n  _directionToOrder(direction) {\n    if (isRTL()) {\n      return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT;\n    }\n\n    return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV;\n  }\n\n  _orderToDirection(order) {\n    if (isRTL()) {\n      return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT;\n    }\n\n    return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT;\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Carousel.getOrCreateInstance(this, config);\n\n      if (typeof config === 'number') {\n        data.to(config);\n        return;\n      }\n\n      if (typeof config === 'string') {\n        if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n\n        data[config]();\n      }\n    });\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$5, SELECTOR_DATA_SLIDE, function (event) {\n  const target = getElementFromSelector(this);\n\n  if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n    return;\n  }\n\n  event.preventDefault();\n  const carousel = Carousel.getOrCreateInstance(target);\n  const slideIndex = this.getAttribute('data-bs-slide-to');\n\n  if (slideIndex) {\n    carousel.to(slideIndex);\n\n    carousel._maybeEnableCycle();\n\n    return;\n  }\n\n  if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n    carousel.next();\n\n    carousel._maybeEnableCycle();\n\n    return;\n  }\n\n  carousel.prev();\n\n  carousel._maybeEnableCycle();\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$3, () => {\n  const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE);\n\n  for (const carousel of carousels) {\n    Carousel.getOrCreateInstance(carousel);\n  }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$b = 'collapse';\nconst DATA_KEY$7 = 'bs.collapse';\nconst EVENT_KEY$7 = `.${DATA_KEY$7}`;\nconst DATA_API_KEY$4 = '.data-api';\nconst EVENT_SHOW$6 = `show${EVENT_KEY$7}`;\nconst EVENT_SHOWN$6 = `shown${EVENT_KEY$7}`;\nconst EVENT_HIDE$6 = `hide${EVENT_KEY$7}`;\nconst EVENT_HIDDEN$6 = `hidden${EVENT_KEY$7}`;\nconst EVENT_CLICK_DATA_API$4 = `click${EVENT_KEY$7}${DATA_API_KEY$4}`;\nconst CLASS_NAME_SHOW$7 = 'show';\nconst CLASS_NAME_COLLAPSE = 'collapse';\nconst CLASS_NAME_COLLAPSING = 'collapsing';\nconst CLASS_NAME_COLLAPSED = 'collapsed';\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`;\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal';\nconst WIDTH = 'width';\nconst HEIGHT = 'height';\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing';\nconst SELECTOR_DATA_TOGGLE$4 = '[data-bs-toggle=\"collapse\"]';\nconst Default$a = {\n  parent: null,\n  toggle: true\n};\nconst DefaultType$a = {\n  parent: '(null|element)',\n  toggle: 'boolean'\n};\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isTransitioning = false;\n    this._triggerArray = [];\n    const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE$4);\n\n    for (const elem of toggleList) {\n      const selector = getSelectorFromElement(elem);\n      const filterElement = SelectorEngine.find(selector).filter(foundElement => foundElement === this._element);\n\n      if (selector !== null && filterElement.length) {\n        this._triggerArray.push(elem);\n      }\n    }\n\n    this._initializeChildren();\n\n    if (!this._config.parent) {\n      this._addAriaAndCollapsedClass(this._triggerArray, this._isShown());\n    }\n\n    if (this._config.toggle) {\n      this.toggle();\n    }\n  } // Getters\n\n\n  static get Default() {\n    return Default$a;\n  }\n\n  static get DefaultType() {\n    return DefaultType$a;\n  }\n\n  static get NAME() {\n    return NAME$b;\n  } // Public\n\n\n  toggle() {\n    if (this._isShown()) {\n      this.hide();\n    } else {\n      this.show();\n    }\n  }\n\n  show() {\n    if (this._isTransitioning || this._isShown()) {\n      return;\n    }\n\n    let activeChildren = []; // find active children\n\n    if (this._config.parent) {\n      activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES).filter(element => element !== this._element).map(element => Collapse.getOrCreateInstance(element, {\n        toggle: false\n      }));\n    }\n\n    if (activeChildren.length && activeChildren[0]._isTransitioning) {\n      return;\n    }\n\n    const startEvent = EventHandler.trigger(this._element, EVENT_SHOW$6);\n\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n\n    for (const activeInstance of activeChildren) {\n      activeInstance.hide();\n    }\n\n    const dimension = this._getDimension();\n\n    this._element.classList.remove(CLASS_NAME_COLLAPSE);\n\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n\n    this._element.style[dimension] = 0;\n\n    this._addAriaAndCollapsedClass(this._triggerArray, true);\n\n    this._isTransitioning = true;\n\n    const complete = () => {\n      this._isTransitioning = false;\n\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n\n      this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n\n      this._element.style[dimension] = '';\n      EventHandler.trigger(this._element, EVENT_SHOWN$6);\n    };\n\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1);\n    const scrollSize = `scroll${capitalizedDimension}`;\n\n    this._queueCallback(complete, this._element, true);\n\n    this._element.style[dimension] = `${this._element[scrollSize]}px`;\n  }\n\n  hide() {\n    if (this._isTransitioning || !this._isShown()) {\n      return;\n    }\n\n    const startEvent = EventHandler.trigger(this._element, EVENT_HIDE$6);\n\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n\n    const dimension = this._getDimension();\n\n    this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`;\n    reflow(this._element);\n\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n\n    this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n\n    for (const trigger of this._triggerArray) {\n      const element = getElementFromSelector(trigger);\n\n      if (element && !this._isShown(element)) {\n        this._addAriaAndCollapsedClass([trigger], false);\n      }\n    }\n\n    this._isTransitioning = true;\n\n    const complete = () => {\n      this._isTransitioning = false;\n\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n\n      this._element.classList.add(CLASS_NAME_COLLAPSE);\n\n      EventHandler.trigger(this._element, EVENT_HIDDEN$6);\n    };\n\n    this._element.style[dimension] = '';\n\n    this._queueCallback(complete, this._element, true);\n  }\n\n  _isShown(element = this._element) {\n    return element.classList.contains(CLASS_NAME_SHOW$7);\n  } // Private\n\n\n  _configAfterMerge(config) {\n    config.toggle = Boolean(config.toggle); // Coerce string values\n\n    config.parent = getElement(config.parent);\n    return config;\n  }\n\n  _getDimension() {\n    return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT;\n  }\n\n  _initializeChildren() {\n    if (!this._config.parent) {\n      return;\n    }\n\n    const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE$4);\n\n    for (const element of children) {\n      const selected = getElementFromSelector(element);\n\n      if (selected) {\n        this._addAriaAndCollapsedClass([element], this._isShown(selected));\n      }\n    }\n  }\n\n  _getFirstLevelChildren(selector) {\n    const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent); // remove children if greater depth\n\n    return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element));\n  }\n\n  _addAriaAndCollapsedClass(triggerArray, isOpen) {\n    if (!triggerArray.length) {\n      return;\n    }\n\n    for (const element of triggerArray) {\n      element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen);\n      element.setAttribute('aria-expanded', isOpen);\n    }\n  } // Static\n\n\n  static jQueryInterface(config) {\n    const _config = {};\n\n    if (typeof config === 'string' && /show|hide/.test(config)) {\n      _config.toggle = false;\n    }\n\n    return this.each(function () {\n      const data = Collapse.getOrCreateInstance(this, _config);\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n\n        data[config]();\n      }\n    });\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$4, SELECTOR_DATA_TOGGLE$4, function (event) {\n  // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n  if (event.target.tagName === 'A' || event.delegateTarget && event.delegateTarget.tagName === 'A') {\n    event.preventDefault();\n  }\n\n  const selector = getSelectorFromElement(this);\n  const selectorElements = SelectorEngine.find(selector);\n\n  for (const element of selectorElements) {\n    Collapse.getOrCreateInstance(element, {\n      toggle: false\n    }).toggle();\n  }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$a = 'dropdown';\nconst DATA_KEY$6 = 'bs.dropdown';\nconst EVENT_KEY$6 = `.${DATA_KEY$6}`;\nconst DATA_API_KEY$3 = '.data-api';\nconst ESCAPE_KEY$2 = 'Escape';\nconst TAB_KEY$1 = 'Tab';\nconst ARROW_UP_KEY$1 = 'ArrowUp';\nconst ARROW_DOWN_KEY$1 = 'ArrowDown';\nconst RIGHT_MOUSE_BUTTON = 2; // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE$5 = `hide${EVENT_KEY$6}`;\nconst EVENT_HIDDEN$5 = `hidden${EVENT_KEY$6}`;\nconst EVENT_SHOW$5 = `show${EVENT_KEY$6}`;\nconst EVENT_SHOWN$5 = `shown${EVENT_KEY$6}`;\nconst EVENT_CLICK_DATA_API$3 = `click${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst CLASS_NAME_SHOW$6 = 'show';\nconst CLASS_NAME_DROPUP = 'dropup';\nconst CLASS_NAME_DROPEND = 'dropend';\nconst CLASS_NAME_DROPSTART = 'dropstart';\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center';\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center';\nconst SELECTOR_DATA_TOGGLE$3 = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)';\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE$3}.${CLASS_NAME_SHOW$6}`;\nconst SELECTOR_MENU = '.dropdown-menu';\nconst SELECTOR_NAVBAR = '.navbar';\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav';\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)';\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start';\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end';\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start';\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end';\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start';\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start';\nconst PLACEMENT_TOPCENTER = 'top';\nconst PLACEMENT_BOTTOMCENTER = 'bottom';\nconst Default$9 = {\n  autoClose: true,\n  boundary: 'clippingParents',\n  display: 'dynamic',\n  offset: [0, 2],\n  popperConfig: null,\n  reference: 'toggle'\n};\nconst DefaultType$9 = {\n  autoClose: '(boolean|string)',\n  boundary: '(string|element)',\n  display: 'string',\n  offset: '(array|string|function)',\n  popperConfig: '(null|object|function)',\n  reference: '(string|element|object)'\n};\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._popper = null;\n    this._parent = this._element.parentNode; // dropdown wrapper\n    // todo: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.2/forms/input-group/\n\n    this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] || SelectorEngine.prev(this._element, SELECTOR_MENU)[0] || SelectorEngine.findOne(SELECTOR_MENU, this._parent);\n    this._inNavbar = this._detectNavbar();\n  } // Getters\n\n\n  static get Default() {\n    return Default$9;\n  }\n\n  static get DefaultType() {\n    return DefaultType$9;\n  }\n\n  static get NAME() {\n    return NAME$a;\n  } // Public\n\n\n  toggle() {\n    return this._isShown() ? this.hide() : this.show();\n  }\n\n  show() {\n    if (isDisabled(this._element) || this._isShown()) {\n      return;\n    }\n\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$5, relatedTarget);\n\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n\n    this._createPopper(); // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n\n\n    if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n\n    this._element.focus();\n\n    this._element.setAttribute('aria-expanded', true);\n\n    this._menu.classList.add(CLASS_NAME_SHOW$6);\n\n    this._element.classList.add(CLASS_NAME_SHOW$6);\n\n    EventHandler.trigger(this._element, EVENT_SHOWN$5, relatedTarget);\n  }\n\n  hide() {\n    if (isDisabled(this._element) || !this._isShown()) {\n      return;\n    }\n\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n\n    this._completeHide(relatedTarget);\n  }\n\n  dispose() {\n    if (this._popper) {\n      this._popper.destroy();\n    }\n\n    super.dispose();\n  }\n\n  update() {\n    this._inNavbar = this._detectNavbar();\n\n    if (this._popper) {\n      this._popper.update();\n    }\n  } // Private\n\n\n  _completeHide(relatedTarget) {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$5, relatedTarget);\n\n    if (hideEvent.defaultPrevented) {\n      return;\n    } // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n\n\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n\n    if (this._popper) {\n      this._popper.destroy();\n    }\n\n    this._menu.classList.remove(CLASS_NAME_SHOW$6);\n\n    this._element.classList.remove(CLASS_NAME_SHOW$6);\n\n    this._element.setAttribute('aria-expanded', 'false');\n\n    Manipulator.removeDataAttribute(this._menu, 'popper');\n    EventHandler.trigger(this._element, EVENT_HIDDEN$5, relatedTarget);\n  }\n\n  _getConfig(config) {\n    config = super._getConfig(config);\n\n    if (typeof config.reference === 'object' && !isElement(config.reference) && typeof config.reference.getBoundingClientRect !== 'function') {\n      // Popper virtual elements require a getBoundingClientRect method\n      throw new TypeError(`${NAME$a.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`);\n    }\n\n    return config;\n  }\n\n  _createPopper() {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)');\n    }\n\n    let referenceElement = this._element;\n\n    if (this._config.reference === 'parent') {\n      referenceElement = this._parent;\n    } else if (isElement(this._config.reference)) {\n      referenceElement = getElement(this._config.reference);\n    } else if (typeof this._config.reference === 'object') {\n      referenceElement = this._config.reference;\n    }\n\n    const popperConfig = this._getPopperConfig();\n\n    this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig);\n  }\n\n  _isShown() {\n    return this._menu.classList.contains(CLASS_NAME_SHOW$6);\n  }\n\n  _getPlacement() {\n    const parentDropdown = this._parent;\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n      return PLACEMENT_RIGHT;\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n      return PLACEMENT_LEFT;\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n      return PLACEMENT_TOPCENTER;\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n      return PLACEMENT_BOTTOMCENTER;\n    } // We need to trim the value because custom properties can also include spaces\n\n\n    const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end';\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n      return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP;\n    }\n\n    return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM;\n  }\n\n  _detectNavbar() {\n    return this._element.closest(SELECTOR_NAVBAR) !== null;\n  }\n\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n\n    return offset;\n  }\n\n  _getPopperConfig() {\n    const defaultBsPopperConfig = {\n      placement: this._getPlacement(),\n      modifiers: [{\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }]\n    }; // Disable Popper if we have a static display or Dropdown is in Navbar\n\n    if (this._inNavbar || this._config.display === 'static') {\n      Manipulator.setDataAttribute(this._menu, 'popper', 'static'); // todo:v6 remove\n\n      defaultBsPopperConfig.modifiers = [{\n        name: 'applyStyles',\n        enabled: false\n      }];\n    }\n\n    return { ...defaultBsPopperConfig,\n      ...(typeof this._config.popperConfig === 'function' ? this._config.popperConfig(defaultBsPopperConfig) : this._config.popperConfig)\n    };\n  }\n\n  _selectMenuItem({\n    key,\n    target\n  }) {\n    const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element));\n\n    if (!items.length) {\n      return;\n    } // if target isn't included in items (e.g. when expanding the dropdown)\n    // allow cycling to get the last item in case key equals ARROW_UP_KEY\n\n\n    getNextActiveElement(items, target, key === ARROW_DOWN_KEY$1, !items.includes(target)).focus();\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Dropdown.getOrCreateInstance(this, config);\n\n      if (typeof config !== 'string') {\n        return;\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n\n      data[config]();\n    });\n  }\n\n  static clearMenus(event) {\n    if (event.button === RIGHT_MOUSE_BUTTON || event.type === 'keyup' && event.key !== TAB_KEY$1) {\n      return;\n    }\n\n    const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN);\n\n    for (const toggle of openToggles) {\n      const context = Dropdown.getInstance(toggle);\n\n      if (!context || context._config.autoClose === false) {\n        continue;\n      }\n\n      const composedPath = event.composedPath();\n      const isMenuTarget = composedPath.includes(context._menu);\n\n      if (composedPath.includes(context._element) || context._config.autoClose === 'inside' && !isMenuTarget || context._config.autoClose === 'outside' && isMenuTarget) {\n        continue;\n      } // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n\n\n      if (context._menu.contains(event.target) && (event.type === 'keyup' && event.key === TAB_KEY$1 || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n        continue;\n      }\n\n      const relatedTarget = {\n        relatedTarget: context._element\n      };\n\n      if (event.type === 'click') {\n        relatedTarget.clickEvent = event;\n      }\n\n      context._completeHide(relatedTarget);\n    }\n  }\n\n  static dataApiKeydownHandler(event) {\n    // If not an UP | DOWN | ESCAPE key => not a dropdown command\n    // If input/textarea && if key is other than ESCAPE => not a dropdown command\n    const isInput = /input|textarea/i.test(event.target.tagName);\n    const isEscapeEvent = event.key === ESCAPE_KEY$2;\n    const isUpOrDownEvent = [ARROW_UP_KEY$1, ARROW_DOWN_KEY$1].includes(event.key);\n\n    if (!isUpOrDownEvent && !isEscapeEvent) {\n      return;\n    }\n\n    if (isInput && !isEscapeEvent) {\n      return;\n    }\n\n    event.preventDefault(); // todo: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.2/forms/input-group/\n\n    const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE$3) ? this : SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.next(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.findOne(SELECTOR_DATA_TOGGLE$3, event.delegateTarget.parentNode);\n    const instance = Dropdown.getOrCreateInstance(getToggleButton);\n\n    if (isUpOrDownEvent) {\n      event.stopPropagation();\n      instance.show();\n\n      instance._selectMenuItem(event);\n\n      return;\n    }\n\n    if (instance._isShown()) {\n      // else is escape and we check if it is shown\n      event.stopPropagation();\n      instance.hide();\n      getToggleButton.focus();\n    }\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE$3, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, SELECTOR_DATA_TOGGLE$3, function (event) {\n  event.preventDefault();\n  Dropdown.getOrCreateInstance(this).toggle();\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top';\nconst SELECTOR_STICKY_CONTENT = '.sticky-top';\nconst PROPERTY_PADDING = 'padding-right';\nconst PROPERTY_MARGIN = 'margin-right';\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n  constructor() {\n    this._element = document.body;\n  } // Public\n\n\n  getWidth() {\n    // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n    const documentWidth = document.documentElement.clientWidth;\n    return Math.abs(window.innerWidth - documentWidth);\n  }\n\n  hide() {\n    const width = this.getWidth();\n\n    this._disableOverFlow(); // give padding to element to balance the hidden scrollbar width\n\n\n    this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width); // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n\n\n    this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n\n    this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width);\n  }\n\n  reset() {\n    this._resetElementAttributes(this._element, 'overflow');\n\n    this._resetElementAttributes(this._element, PROPERTY_PADDING);\n\n    this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING);\n\n    this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN);\n  }\n\n  isOverflowing() {\n    return this.getWidth() > 0;\n  } // Private\n\n\n  _disableOverFlow() {\n    this._saveInitialAttribute(this._element, 'overflow');\n\n    this._element.style.overflow = 'hidden';\n  }\n\n  _setElementAttributes(selector, styleProperty, callback) {\n    const scrollbarWidth = this.getWidth();\n\n    const manipulationCallBack = element => {\n      if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n        return;\n      }\n\n      this._saveInitialAttribute(element, styleProperty);\n\n      const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty);\n      element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`);\n    };\n\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n\n  _saveInitialAttribute(element, styleProperty) {\n    const actualValue = element.style.getPropertyValue(styleProperty);\n\n    if (actualValue) {\n      Manipulator.setDataAttribute(element, styleProperty, actualValue);\n    }\n  }\n\n  _resetElementAttributes(selector, styleProperty) {\n    const manipulationCallBack = element => {\n      const value = Manipulator.getDataAttribute(element, styleProperty); // We only want to remove the property if the value is `null`; the value can also be zero\n\n      if (value === null) {\n        element.style.removeProperty(styleProperty);\n        return;\n      }\n\n      Manipulator.removeDataAttribute(element, styleProperty);\n      element.style.setProperty(styleProperty, value);\n    };\n\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n\n  _applyManipulationCallback(selector, callBack) {\n    if (isElement(selector)) {\n      callBack(selector);\n      return;\n    }\n\n    for (const sel of SelectorEngine.find(selector, this._element)) {\n      callBack(sel);\n    }\n  }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$9 = 'backdrop';\nconst CLASS_NAME_FADE$4 = 'fade';\nconst CLASS_NAME_SHOW$5 = 'show';\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME$9}`;\nconst Default$8 = {\n  className: 'modal-backdrop',\n  clickCallback: null,\n  isAnimated: false,\n  isVisible: true,\n  // if false, we use the backdrop helper without adding any element to the dom\n  rootElement: 'body' // give the choice to place backdrop under different elements\n\n};\nconst DefaultType$8 = {\n  className: 'string',\n  clickCallback: '(function|null)',\n  isAnimated: 'boolean',\n  isVisible: 'boolean',\n  rootElement: '(element|string)'\n};\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isAppended = false;\n    this._element = null;\n  } // Getters\n\n\n  static get Default() {\n    return Default$8;\n  }\n\n  static get DefaultType() {\n    return DefaultType$8;\n  }\n\n  static get NAME() {\n    return NAME$9;\n  } // Public\n\n\n  show(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n\n    this._append();\n\n    const element = this._getElement();\n\n    if (this._config.isAnimated) {\n      reflow(element);\n    }\n\n    element.classList.add(CLASS_NAME_SHOW$5);\n\n    this._emulateAnimation(() => {\n      execute(callback);\n    });\n  }\n\n  hide(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n\n    this._getElement().classList.remove(CLASS_NAME_SHOW$5);\n\n    this._emulateAnimation(() => {\n      this.dispose();\n      execute(callback);\n    });\n  }\n\n  dispose() {\n    if (!this._isAppended) {\n      return;\n    }\n\n    EventHandler.off(this._element, EVENT_MOUSEDOWN);\n\n    this._element.remove();\n\n    this._isAppended = false;\n  } // Private\n\n\n  _getElement() {\n    if (!this._element) {\n      const backdrop = document.createElement('div');\n      backdrop.className = this._config.className;\n\n      if (this._config.isAnimated) {\n        backdrop.classList.add(CLASS_NAME_FADE$4);\n      }\n\n      this._element = backdrop;\n    }\n\n    return this._element;\n  }\n\n  _configAfterMerge(config) {\n    // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n    config.rootElement = getElement(config.rootElement);\n    return config;\n  }\n\n  _append() {\n    if (this._isAppended) {\n      return;\n    }\n\n    const element = this._getElement();\n\n    this._config.rootElement.append(element);\n\n    EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n      execute(this._config.clickCallback);\n    });\n    this._isAppended = true;\n  }\n\n  _emulateAnimation(callback) {\n    executeAfterTransition(callback, this._getElement(), this._config.isAnimated);\n  }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$8 = 'focustrap';\nconst DATA_KEY$5 = 'bs.focustrap';\nconst EVENT_KEY$5 = `.${DATA_KEY$5}`;\nconst EVENT_FOCUSIN$2 = `focusin${EVENT_KEY$5}`;\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY$5}`;\nconst TAB_KEY = 'Tab';\nconst TAB_NAV_FORWARD = 'forward';\nconst TAB_NAV_BACKWARD = 'backward';\nconst Default$7 = {\n  autofocus: true,\n  trapElement: null // The element to trap focus inside of\n\n};\nconst DefaultType$7 = {\n  autofocus: 'boolean',\n  trapElement: 'element'\n};\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isActive = false;\n    this._lastTabNavDirection = null;\n  } // Getters\n\n\n  static get Default() {\n    return Default$7;\n  }\n\n  static get DefaultType() {\n    return DefaultType$7;\n  }\n\n  static get NAME() {\n    return NAME$8;\n  } // Public\n\n\n  activate() {\n    if (this._isActive) {\n      return;\n    }\n\n    if (this._config.autofocus) {\n      this._config.trapElement.focus();\n    }\n\n    EventHandler.off(document, EVENT_KEY$5); // guard against infinite focus loop\n\n    EventHandler.on(document, EVENT_FOCUSIN$2, event => this._handleFocusin(event));\n    EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event));\n    this._isActive = true;\n  }\n\n  deactivate() {\n    if (!this._isActive) {\n      return;\n    }\n\n    this._isActive = false;\n    EventHandler.off(document, EVENT_KEY$5);\n  } // Private\n\n\n  _handleFocusin(event) {\n    const {\n      trapElement\n    } = this._config;\n\n    if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n      return;\n    }\n\n    const elements = SelectorEngine.focusableChildren(trapElement);\n\n    if (elements.length === 0) {\n      trapElement.focus();\n    } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n      elements[elements.length - 1].focus();\n    } else {\n      elements[0].focus();\n    }\n  }\n\n  _handleKeydown(event) {\n    if (event.key !== TAB_KEY) {\n      return;\n    }\n\n    this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD;\n  }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$7 = 'modal';\nconst DATA_KEY$4 = 'bs.modal';\nconst EVENT_KEY$4 = `.${DATA_KEY$4}`;\nconst DATA_API_KEY$2 = '.data-api';\nconst ESCAPE_KEY$1 = 'Escape';\nconst EVENT_HIDE$4 = `hide${EVENT_KEY$4}`;\nconst EVENT_HIDE_PREVENTED$1 = `hidePrevented${EVENT_KEY$4}`;\nconst EVENT_HIDDEN$4 = `hidden${EVENT_KEY$4}`;\nconst EVENT_SHOW$4 = `show${EVENT_KEY$4}`;\nconst EVENT_SHOWN$4 = `shown${EVENT_KEY$4}`;\nconst EVENT_RESIZE$1 = `resize${EVENT_KEY$4}`;\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY$4}`;\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY$4}`;\nconst EVENT_KEYDOWN_DISMISS$1 = `keydown.dismiss${EVENT_KEY$4}`;\nconst EVENT_CLICK_DATA_API$2 = `click${EVENT_KEY$4}${DATA_API_KEY$2}`;\nconst CLASS_NAME_OPEN = 'modal-open';\nconst CLASS_NAME_FADE$3 = 'fade';\nconst CLASS_NAME_SHOW$4 = 'show';\nconst CLASS_NAME_STATIC = 'modal-static';\nconst OPEN_SELECTOR$1 = '.modal.show';\nconst SELECTOR_DIALOG = '.modal-dialog';\nconst SELECTOR_MODAL_BODY = '.modal-body';\nconst SELECTOR_DATA_TOGGLE$2 = '[data-bs-toggle=\"modal\"]';\nconst Default$6 = {\n  backdrop: true,\n  focus: true,\n  keyboard: true\n};\nconst DefaultType$6 = {\n  backdrop: '(boolean|string)',\n  focus: 'boolean',\n  keyboard: 'boolean'\n};\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element);\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._isShown = false;\n    this._isTransitioning = false;\n    this._scrollBar = new ScrollBarHelper();\n\n    this._addEventListeners();\n  } // Getters\n\n\n  static get Default() {\n    return Default$6;\n  }\n\n  static get DefaultType() {\n    return DefaultType$6;\n  }\n\n  static get NAME() {\n    return NAME$7;\n  } // Public\n\n\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n\n  show(relatedTarget) {\n    if (this._isShown || this._isTransitioning) {\n      return;\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$4, {\n      relatedTarget\n    });\n\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n\n    this._isShown = true;\n    this._isTransitioning = true;\n\n    this._scrollBar.hide();\n\n    document.body.classList.add(CLASS_NAME_OPEN);\n\n    this._adjustDialog();\n\n    this._backdrop.show(() => this._showElement(relatedTarget));\n  }\n\n  hide() {\n    if (!this._isShown || this._isTransitioning) {\n      return;\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$4);\n\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    this._isShown = false;\n    this._isTransitioning = true;\n\n    this._focustrap.deactivate();\n\n    this._element.classList.remove(CLASS_NAME_SHOW$4);\n\n    this._queueCallback(() => this._hideModal(), this._element, this._isAnimated());\n  }\n\n  dispose() {\n    for (const htmlElement of [window, this._dialog]) {\n      EventHandler.off(htmlElement, EVENT_KEY$4);\n    }\n\n    this._backdrop.dispose();\n\n    this._focustrap.deactivate();\n\n    super.dispose();\n  }\n\n  handleUpdate() {\n    this._adjustDialog();\n  } // Private\n\n\n  _initializeBackDrop() {\n    return new Backdrop({\n      isVisible: Boolean(this._config.backdrop),\n      // 'static' option will be translated to true, and booleans will keep their value,\n      isAnimated: this._isAnimated()\n    });\n  }\n\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n\n  _showElement(relatedTarget) {\n    // try to append dynamic modal\n    if (!document.body.contains(this._element)) {\n      document.body.append(this._element);\n    }\n\n    this._element.style.display = 'block';\n\n    this._element.removeAttribute('aria-hidden');\n\n    this._element.setAttribute('aria-modal', true);\n\n    this._element.setAttribute('role', 'dialog');\n\n    this._element.scrollTop = 0;\n    const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog);\n\n    if (modalBody) {\n      modalBody.scrollTop = 0;\n    }\n\n    reflow(this._element);\n\n    this._element.classList.add(CLASS_NAME_SHOW$4);\n\n    const transitionComplete = () => {\n      if (this._config.focus) {\n        this._focustrap.activate();\n      }\n\n      this._isTransitioning = false;\n      EventHandler.trigger(this._element, EVENT_SHOWN$4, {\n        relatedTarget\n      });\n    };\n\n    this._queueCallback(transitionComplete, this._dialog, this._isAnimated());\n  }\n\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS$1, event => {\n      if (event.key !== ESCAPE_KEY$1) {\n        return;\n      }\n\n      if (this._config.keyboard) {\n        event.preventDefault();\n        this.hide();\n        return;\n      }\n\n      this._triggerBackdropTransition();\n    });\n    EventHandler.on(window, EVENT_RESIZE$1, () => {\n      if (this._isShown && !this._isTransitioning) {\n        this._adjustDialog();\n      }\n    });\n    EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n      // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n      EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n        if (this._element !== event.target || this._element !== event2.target) {\n          return;\n        }\n\n        if (this._config.backdrop === 'static') {\n          this._triggerBackdropTransition();\n\n          return;\n        }\n\n        if (this._config.backdrop) {\n          this.hide();\n        }\n      });\n    });\n  }\n\n  _hideModal() {\n    this._element.style.display = 'none';\n\n    this._element.setAttribute('aria-hidden', true);\n\n    this._element.removeAttribute('aria-modal');\n\n    this._element.removeAttribute('role');\n\n    this._isTransitioning = false;\n\n    this._backdrop.hide(() => {\n      document.body.classList.remove(CLASS_NAME_OPEN);\n\n      this._resetAdjustments();\n\n      this._scrollBar.reset();\n\n      EventHandler.trigger(this._element, EVENT_HIDDEN$4);\n    });\n  }\n\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_FADE$3);\n  }\n\n  _triggerBackdropTransition() {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED$1);\n\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const initialOverflowY = this._element.style.overflowY; // return if the following background transition hasn't yet completed\n\n    if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n      return;\n    }\n\n    if (!isModalOverflowing) {\n      this._element.style.overflowY = 'hidden';\n    }\n\n    this._element.classList.add(CLASS_NAME_STATIC);\n\n    this._queueCallback(() => {\n      this._element.classList.remove(CLASS_NAME_STATIC);\n\n      this._queueCallback(() => {\n        this._element.style.overflowY = initialOverflowY;\n      }, this._dialog);\n    }, this._dialog);\n\n    this._element.focus();\n  }\n  /**\n   * The following methods are used to handle overflowing modals\n   */\n\n\n  _adjustDialog() {\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n\n    const scrollbarWidth = this._scrollBar.getWidth();\n\n    const isBodyOverflowing = scrollbarWidth > 0;\n\n    if (isBodyOverflowing && !isModalOverflowing) {\n      const property = isRTL() ? 'paddingLeft' : 'paddingRight';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n\n    if (!isBodyOverflowing && isModalOverflowing) {\n      const property = isRTL() ? 'paddingRight' : 'paddingLeft';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n  }\n\n  _resetAdjustments() {\n    this._element.style.paddingLeft = '';\n    this._element.style.paddingRight = '';\n  } // Static\n\n\n  static jQueryInterface(config, relatedTarget) {\n    return this.each(function () {\n      const data = Modal.getOrCreateInstance(this, config);\n\n      if (typeof config !== 'string') {\n        return;\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n\n      data[config](relatedTarget);\n    });\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$2, SELECTOR_DATA_TOGGLE$2, function (event) {\n  const target = getElementFromSelector(this);\n\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n\n  EventHandler.one(target, EVENT_SHOW$4, showEvent => {\n    if (showEvent.defaultPrevented) {\n      // only register focus restorer if modal will actually get shown\n      return;\n    }\n\n    EventHandler.one(target, EVENT_HIDDEN$4, () => {\n      if (isVisible(this)) {\n        this.focus();\n      }\n    });\n  }); // avoid conflict when clicking modal toggler while another one is open\n\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR$1);\n\n  if (alreadyOpen) {\n    Modal.getInstance(alreadyOpen).hide();\n  }\n\n  const data = Modal.getOrCreateInstance(target);\n  data.toggle(this);\n});\nenableDismissTrigger(Modal);\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$6 = 'offcanvas';\nconst DATA_KEY$3 = 'bs.offcanvas';\nconst EVENT_KEY$3 = `.${DATA_KEY$3}`;\nconst DATA_API_KEY$1 = '.data-api';\nconst EVENT_LOAD_DATA_API$2 = `load${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst ESCAPE_KEY = 'Escape';\nconst CLASS_NAME_SHOW$3 = 'show';\nconst CLASS_NAME_SHOWING$1 = 'showing';\nconst CLASS_NAME_HIDING = 'hiding';\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop';\nconst OPEN_SELECTOR = '.offcanvas.show';\nconst EVENT_SHOW$3 = `show${EVENT_KEY$3}`;\nconst EVENT_SHOWN$3 = `shown${EVENT_KEY$3}`;\nconst EVENT_HIDE$3 = `hide${EVENT_KEY$3}`;\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY$3}`;\nconst EVENT_HIDDEN$3 = `hidden${EVENT_KEY$3}`;\nconst EVENT_RESIZE = `resize${EVENT_KEY$3}`;\nconst EVENT_CLICK_DATA_API$1 = `click${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY$3}`;\nconst SELECTOR_DATA_TOGGLE$1 = '[data-bs-toggle=\"offcanvas\"]';\nconst Default$5 = {\n  backdrop: true,\n  keyboard: true,\n  scroll: false\n};\nconst DefaultType$5 = {\n  backdrop: '(boolean|string)',\n  keyboard: 'boolean',\n  scroll: 'boolean'\n};\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isShown = false;\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n\n    this._addEventListeners();\n  } // Getters\n\n\n  static get Default() {\n    return Default$5;\n  }\n\n  static get DefaultType() {\n    return DefaultType$5;\n  }\n\n  static get NAME() {\n    return NAME$6;\n  } // Public\n\n\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n\n  show(relatedTarget) {\n    if (this._isShown) {\n      return;\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$3, {\n      relatedTarget\n    });\n\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n\n    this._isShown = true;\n\n    this._backdrop.show();\n\n    if (!this._config.scroll) {\n      new ScrollBarHelper().hide();\n    }\n\n    this._element.setAttribute('aria-modal', true);\n\n    this._element.setAttribute('role', 'dialog');\n\n    this._element.classList.add(CLASS_NAME_SHOWING$1);\n\n    const completeCallBack = () => {\n      if (!this._config.scroll || this._config.backdrop) {\n        this._focustrap.activate();\n      }\n\n      this._element.classList.add(CLASS_NAME_SHOW$3);\n\n      this._element.classList.remove(CLASS_NAME_SHOWING$1);\n\n      EventHandler.trigger(this._element, EVENT_SHOWN$3, {\n        relatedTarget\n      });\n    };\n\n    this._queueCallback(completeCallBack, this._element, true);\n  }\n\n  hide() {\n    if (!this._isShown) {\n      return;\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$3);\n\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    this._focustrap.deactivate();\n\n    this._element.blur();\n\n    this._isShown = false;\n\n    this._element.classList.add(CLASS_NAME_HIDING);\n\n    this._backdrop.hide();\n\n    const completeCallback = () => {\n      this._element.classList.remove(CLASS_NAME_SHOW$3, CLASS_NAME_HIDING);\n\n      this._element.removeAttribute('aria-modal');\n\n      this._element.removeAttribute('role');\n\n      if (!this._config.scroll) {\n        new ScrollBarHelper().reset();\n      }\n\n      EventHandler.trigger(this._element, EVENT_HIDDEN$3);\n    };\n\n    this._queueCallback(completeCallback, this._element, true);\n  }\n\n  dispose() {\n    this._backdrop.dispose();\n\n    this._focustrap.deactivate();\n\n    super.dispose();\n  } // Private\n\n\n  _initializeBackDrop() {\n    const clickCallback = () => {\n      if (this._config.backdrop === 'static') {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n        return;\n      }\n\n      this.hide();\n    }; // 'static' option will be translated to true, and booleans will keep their value\n\n\n    const isVisible = Boolean(this._config.backdrop);\n    return new Backdrop({\n      className: CLASS_NAME_BACKDROP,\n      isVisible,\n      isAnimated: true,\n      rootElement: this._element.parentNode,\n      clickCallback: isVisible ? clickCallback : null\n    });\n  }\n\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return;\n      }\n\n      if (!this._config.keyboard) {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n        return;\n      }\n\n      this.hide();\n    });\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Offcanvas.getOrCreateInstance(this, config);\n\n      if (typeof config !== 'string') {\n        return;\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n\n      data[config](this);\n    });\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$1, SELECTOR_DATA_TOGGLE$1, function (event) {\n  const target = getElementFromSelector(this);\n\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n\n  if (isDisabled(this)) {\n    return;\n  }\n\n  EventHandler.one(target, EVENT_HIDDEN$3, () => {\n    // focus on trigger when it is closed\n    if (isVisible(this)) {\n      this.focus();\n    }\n  }); // avoid conflict when clicking a toggler of an offcanvas, while another is open\n\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR);\n\n  if (alreadyOpen && alreadyOpen !== target) {\n    Offcanvas.getInstance(alreadyOpen).hide();\n  }\n\n  const data = Offcanvas.getOrCreateInstance(target);\n  data.toggle(this);\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$2, () => {\n  for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n    Offcanvas.getOrCreateInstance(selector).show();\n  }\n});\nEventHandler.on(window, EVENT_RESIZE, () => {\n  for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n    if (getComputedStyle(element).position !== 'fixed') {\n      Offcanvas.getOrCreateInstance(element).hide();\n    }\n  }\n});\nenableDismissTrigger(Offcanvas);\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\nconst uriAttributes = new Set(['background', 'cite', 'href', 'itemtype', 'longdesc', 'poster', 'src', 'xlink:href']);\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i;\n/**\n * A pattern that recognizes a commonly useful subset of URLs that are safe.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/12.2.x/packages/core/src/sanitization/url_sanitizer.ts\n */\n\nconst SAFE_URL_PATTERN = /^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i;\n/**\n * A pattern that matches safe data URLs. Only matches image, video and audio types.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/12.2.x/packages/core/src/sanitization/url_sanitizer.ts\n */\n\nconst DATA_URL_PATTERN = /^data:(?:image\\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\\/(?:mpeg|mp4|ogg|webm)|audio\\/(?:mp3|oga|ogg|opus));base64,[\\d+/a-z]+=*$/i;\n\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n  const attributeName = attribute.nodeName.toLowerCase();\n\n  if (allowedAttributeList.includes(attributeName)) {\n    if (uriAttributes.has(attributeName)) {\n      return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue) || DATA_URL_PATTERN.test(attribute.nodeValue));\n    }\n\n    return true;\n  } // Check if a regular expression validates the attribute.\n\n\n  return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp).some(regex => regex.test(attributeName));\n};\n\nconst DefaultAllowlist = {\n  // Global attributes allowed on any supplied element below.\n  '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n  a: ['target', 'href', 'title', 'rel'],\n  area: [],\n  b: [],\n  br: [],\n  col: [],\n  code: [],\n  div: [],\n  em: [],\n  hr: [],\n  h1: [],\n  h2: [],\n  h3: [],\n  h4: [],\n  h5: [],\n  h6: [],\n  i: [],\n  img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n  li: [],\n  ol: [],\n  p: [],\n  pre: [],\n  s: [],\n  small: [],\n  span: [],\n  sub: [],\n  sup: [],\n  strong: [],\n  u: [],\n  ul: []\n};\nfunction sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n  if (!unsafeHtml.length) {\n    return unsafeHtml;\n  }\n\n  if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n    return sanitizeFunction(unsafeHtml);\n  }\n\n  const domParser = new window.DOMParser();\n  const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html');\n  const elements = [].concat(...createdDocument.body.querySelectorAll('*'));\n\n  for (const element of elements) {\n    const elementName = element.nodeName.toLowerCase();\n\n    if (!Object.keys(allowList).includes(elementName)) {\n      element.remove();\n      continue;\n    }\n\n    const attributeList = [].concat(...element.attributes);\n    const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || []);\n\n    for (const attribute of attributeList) {\n      if (!allowedAttribute(attribute, allowedAttributes)) {\n        element.removeAttribute(attribute.nodeName);\n      }\n    }\n  }\n\n  return createdDocument.body.innerHTML;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$5 = 'TemplateFactory';\nconst Default$4 = {\n  allowList: DefaultAllowlist,\n  content: {},\n  // { selector : text ,  selector2 : text2 , }\n  extraClass: '',\n  html: false,\n  sanitize: true,\n  sanitizeFn: null,\n  template: '<div></div>'\n};\nconst DefaultType$4 = {\n  allowList: 'object',\n  content: 'object',\n  extraClass: '(string|function)',\n  html: 'boolean',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  template: 'string'\n};\nconst DefaultContentType = {\n  entry: '(string|element|function|null)',\n  selector: '(string|element)'\n};\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n  } // Getters\n\n\n  static get Default() {\n    return Default$4;\n  }\n\n  static get DefaultType() {\n    return DefaultType$4;\n  }\n\n  static get NAME() {\n    return NAME$5;\n  } // Public\n\n\n  getContent() {\n    return Object.values(this._config.content).map(config => this._resolvePossibleFunction(config)).filter(Boolean);\n  }\n\n  hasContent() {\n    return this.getContent().length > 0;\n  }\n\n  changeContent(content) {\n    this._checkContent(content);\n\n    this._config.content = { ...this._config.content,\n      ...content\n    };\n    return this;\n  }\n\n  toHtml() {\n    const templateWrapper = document.createElement('div');\n    templateWrapper.innerHTML = this._maybeSanitize(this._config.template);\n\n    for (const [selector, text] of Object.entries(this._config.content)) {\n      this._setContent(templateWrapper, text, selector);\n    }\n\n    const template = templateWrapper.children[0];\n\n    const extraClass = this._resolvePossibleFunction(this._config.extraClass);\n\n    if (extraClass) {\n      template.classList.add(...extraClass.split(' '));\n    }\n\n    return template;\n  } // Private\n\n\n  _typeCheckConfig(config) {\n    super._typeCheckConfig(config);\n\n    this._checkContent(config.content);\n  }\n\n  _checkContent(arg) {\n    for (const [selector, content] of Object.entries(arg)) {\n      super._typeCheckConfig({\n        selector,\n        entry: content\n      }, DefaultContentType);\n    }\n  }\n\n  _setContent(template, content, selector) {\n    const templateElement = SelectorEngine.findOne(selector, template);\n\n    if (!templateElement) {\n      return;\n    }\n\n    content = this._resolvePossibleFunction(content);\n\n    if (!content) {\n      templateElement.remove();\n      return;\n    }\n\n    if (isElement(content)) {\n      this._putElementInTemplate(getElement(content), templateElement);\n\n      return;\n    }\n\n    if (this._config.html) {\n      templateElement.innerHTML = this._maybeSanitize(content);\n      return;\n    }\n\n    templateElement.textContent = content;\n  }\n\n  _maybeSanitize(arg) {\n    return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg;\n  }\n\n  _resolvePossibleFunction(arg) {\n    return typeof arg === 'function' ? arg(this) : arg;\n  }\n\n  _putElementInTemplate(element, templateElement) {\n    if (this._config.html) {\n      templateElement.innerHTML = '';\n      templateElement.append(element);\n      return;\n    }\n\n    templateElement.textContent = element.textContent;\n  }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$4 = 'tooltip';\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn']);\nconst CLASS_NAME_FADE$2 = 'fade';\nconst CLASS_NAME_MODAL = 'modal';\nconst CLASS_NAME_SHOW$2 = 'show';\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner';\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`;\nconst EVENT_MODAL_HIDE = 'hide.bs.modal';\nconst TRIGGER_HOVER = 'hover';\nconst TRIGGER_FOCUS = 'focus';\nconst TRIGGER_CLICK = 'click';\nconst TRIGGER_MANUAL = 'manual';\nconst EVENT_HIDE$2 = 'hide';\nconst EVENT_HIDDEN$2 = 'hidden';\nconst EVENT_SHOW$2 = 'show';\nconst EVENT_SHOWN$2 = 'shown';\nconst EVENT_INSERTED = 'inserted';\nconst EVENT_CLICK$1 = 'click';\nconst EVENT_FOCUSIN$1 = 'focusin';\nconst EVENT_FOCUSOUT$1 = 'focusout';\nconst EVENT_MOUSEENTER = 'mouseenter';\nconst EVENT_MOUSELEAVE = 'mouseleave';\nconst AttachmentMap = {\n  AUTO: 'auto',\n  TOP: 'top',\n  RIGHT: isRTL() ? 'left' : 'right',\n  BOTTOM: 'bottom',\n  LEFT: isRTL() ? 'right' : 'left'\n};\nconst Default$3 = {\n  allowList: DefaultAllowlist,\n  animation: true,\n  boundary: 'clippingParents',\n  container: false,\n  customClass: '',\n  delay: 0,\n  fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n  html: false,\n  offset: [0, 0],\n  placement: 'top',\n  popperConfig: null,\n  sanitize: true,\n  sanitizeFn: null,\n  selector: false,\n  template: '<div class=\"tooltip\" role=\"tooltip\">' + '<div class=\"tooltip-arrow\"></div>' + '<div class=\"tooltip-inner\"></div>' + '</div>',\n  title: '',\n  trigger: 'hover focus'\n};\nconst DefaultType$3 = {\n  allowList: 'object',\n  animation: 'boolean',\n  boundary: '(string|element)',\n  container: '(string|element|boolean)',\n  customClass: '(string|function)',\n  delay: '(number|object)',\n  fallbackPlacements: 'array',\n  html: 'boolean',\n  offset: '(array|string|function)',\n  placement: '(string|function)',\n  popperConfig: '(null|object|function)',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  selector: '(string|boolean)',\n  template: 'string',\n  title: '(string|element|function)',\n  trigger: 'string'\n};\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n  constructor(element, config) {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)');\n    }\n\n    super(element, config); // Private\n\n    this._isEnabled = true;\n    this._timeout = 0;\n    this._isHovered = null;\n    this._activeTrigger = {};\n    this._popper = null;\n    this._templateFactory = null;\n    this._newContent = null; // Protected\n\n    this.tip = null;\n\n    this._setListeners();\n\n    if (!this._config.selector) {\n      this._fixTitle();\n    }\n  } // Getters\n\n\n  static get Default() {\n    return Default$3;\n  }\n\n  static get DefaultType() {\n    return DefaultType$3;\n  }\n\n  static get NAME() {\n    return NAME$4;\n  } // Public\n\n\n  enable() {\n    this._isEnabled = true;\n  }\n\n  disable() {\n    this._isEnabled = false;\n  }\n\n  toggleEnabled() {\n    this._isEnabled = !this._isEnabled;\n  }\n\n  toggle() {\n    if (!this._isEnabled) {\n      return;\n    }\n\n    this._activeTrigger.click = !this._activeTrigger.click;\n\n    if (this._isShown()) {\n      this._leave();\n\n      return;\n    }\n\n    this._enter();\n  }\n\n  dispose() {\n    clearTimeout(this._timeout);\n    EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n\n    if (this._element.getAttribute('data-bs-original-title')) {\n      this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'));\n    }\n\n    this._disposePopper();\n\n    super.dispose();\n  }\n\n  show() {\n    if (this._element.style.display === 'none') {\n      throw new Error('Please use show on visible elements');\n    }\n\n    if (!(this._isWithContent() && this._isEnabled)) {\n      return;\n    }\n\n    const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW$2));\n    const shadowRoot = findShadowRoot(this._element);\n\n    const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element);\n\n    if (showEvent.defaultPrevented || !isInTheDom) {\n      return;\n    } // todo v6 remove this OR make it optional\n\n\n    this._disposePopper();\n\n    const tip = this._getTipElement();\n\n    this._element.setAttribute('aria-describedby', tip.getAttribute('id'));\n\n    const {\n      container\n    } = this._config;\n\n    if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n      container.append(tip);\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED));\n    }\n\n    this._popper = this._createPopper(tip);\n    tip.classList.add(CLASS_NAME_SHOW$2); // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n\n    const complete = () => {\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN$2));\n\n      if (this._isHovered === false) {\n        this._leave();\n      }\n\n      this._isHovered = false;\n    };\n\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n\n  hide() {\n    if (!this._isShown()) {\n      return;\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE$2));\n\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    const tip = this._getTipElement();\n\n    tip.classList.remove(CLASS_NAME_SHOW$2); // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n\n    this._activeTrigger[TRIGGER_CLICK] = false;\n    this._activeTrigger[TRIGGER_FOCUS] = false;\n    this._activeTrigger[TRIGGER_HOVER] = false;\n    this._isHovered = null; // it is a trick to support manual triggering\n\n    const complete = () => {\n      if (this._isWithActiveTrigger()) {\n        return;\n      }\n\n      if (!this._isHovered) {\n        this._disposePopper();\n      }\n\n      this._element.removeAttribute('aria-describedby');\n\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN$2));\n    };\n\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n\n  update() {\n    if (this._popper) {\n      this._popper.update();\n    }\n  } // Protected\n\n\n  _isWithContent() {\n    return Boolean(this._getTitle());\n  }\n\n  _getTipElement() {\n    if (!this.tip) {\n      this.tip = this._createTipElement(this._newContent || this._getContentForTemplate());\n    }\n\n    return this.tip;\n  }\n\n  _createTipElement(content) {\n    const tip = this._getTemplateFactory(content).toHtml(); // todo: remove this check on v6\n\n\n    if (!tip) {\n      return null;\n    }\n\n    tip.classList.remove(CLASS_NAME_FADE$2, CLASS_NAME_SHOW$2); // todo: on v6 the following can be achieved with CSS only\n\n    tip.classList.add(`bs-${this.constructor.NAME}-auto`);\n    const tipId = getUID(this.constructor.NAME).toString();\n    tip.setAttribute('id', tipId);\n\n    if (this._isAnimated()) {\n      tip.classList.add(CLASS_NAME_FADE$2);\n    }\n\n    return tip;\n  }\n\n  setContent(content) {\n    this._newContent = content;\n\n    if (this._isShown()) {\n      this._disposePopper();\n\n      this.show();\n    }\n  }\n\n  _getTemplateFactory(content) {\n    if (this._templateFactory) {\n      this._templateFactory.changeContent(content);\n    } else {\n      this._templateFactory = new TemplateFactory({ ...this._config,\n        // the `content` var has to be after `this._config`\n        // to override config.content in case of popover\n        content,\n        extraClass: this._resolvePossibleFunction(this._config.customClass)\n      });\n    }\n\n    return this._templateFactory;\n  }\n\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n    };\n  }\n\n  _getTitle() {\n    return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title');\n  } // Private\n\n\n  _initializeOnDelegatedTarget(event) {\n    return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig());\n  }\n\n  _isAnimated() {\n    return this._config.animation || this.tip && this.tip.classList.contains(CLASS_NAME_FADE$2);\n  }\n\n  _isShown() {\n    return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW$2);\n  }\n\n  _createPopper(tip) {\n    const placement = typeof this._config.placement === 'function' ? this._config.placement.call(this, tip, this._element) : this._config.placement;\n    const attachment = AttachmentMap[placement.toUpperCase()];\n    return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment));\n  }\n\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n\n    return offset;\n  }\n\n  _resolvePossibleFunction(arg) {\n    return typeof arg === 'function' ? arg.call(this._element) : arg;\n  }\n\n  _getPopperConfig(attachment) {\n    const defaultBsPopperConfig = {\n      placement: attachment,\n      modifiers: [{\n        name: 'flip',\n        options: {\n          fallbackPlacements: this._config.fallbackPlacements\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }, {\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'arrow',\n        options: {\n          element: `.${this.constructor.NAME}-arrow`\n        }\n      }, {\n        name: 'preSetPlacement',\n        enabled: true,\n        phase: 'beforeMain',\n        fn: data => {\n          // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n          // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n          this._getTipElement().setAttribute('data-popper-placement', data.state.placement);\n        }\n      }]\n    };\n    return { ...defaultBsPopperConfig,\n      ...(typeof this._config.popperConfig === 'function' ? this._config.popperConfig(defaultBsPopperConfig) : this._config.popperConfig)\n    };\n  }\n\n  _setListeners() {\n    const triggers = this._config.trigger.split(' ');\n\n    for (const trigger of triggers) {\n      if (trigger === 'click') {\n        EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK$1), this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n\n          context.toggle();\n        });\n      } else if (trigger !== TRIGGER_MANUAL) {\n        const eventIn = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSEENTER) : this.constructor.eventName(EVENT_FOCUSIN$1);\n        const eventOut = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSELEAVE) : this.constructor.eventName(EVENT_FOCUSOUT$1);\n        EventHandler.on(this._element, eventIn, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n\n          context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true;\n\n          context._enter();\n        });\n        EventHandler.on(this._element, eventOut, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n\n          context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] = context._element.contains(event.relatedTarget);\n\n          context._leave();\n        });\n      }\n    }\n\n    this._hideModalHandler = () => {\n      if (this._element) {\n        this.hide();\n      }\n    };\n\n    EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n  }\n\n  _fixTitle() {\n    const title = this._element.getAttribute('title');\n\n    if (!title) {\n      return;\n    }\n\n    if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n      this._element.setAttribute('aria-label', title);\n    }\n\n    this._element.setAttribute('data-bs-original-title', title); // DO NOT USE IT. Is only for backwards compatibility\n\n\n    this._element.removeAttribute('title');\n  }\n\n  _enter() {\n    if (this._isShown() || this._isHovered) {\n      this._isHovered = true;\n      return;\n    }\n\n    this._isHovered = true;\n\n    this._setTimeout(() => {\n      if (this._isHovered) {\n        this.show();\n      }\n    }, this._config.delay.show);\n  }\n\n  _leave() {\n    if (this._isWithActiveTrigger()) {\n      return;\n    }\n\n    this._isHovered = false;\n\n    this._setTimeout(() => {\n      if (!this._isHovered) {\n        this.hide();\n      }\n    }, this._config.delay.hide);\n  }\n\n  _setTimeout(handler, timeout) {\n    clearTimeout(this._timeout);\n    this._timeout = setTimeout(handler, timeout);\n  }\n\n  _isWithActiveTrigger() {\n    return Object.values(this._activeTrigger).includes(true);\n  }\n\n  _getConfig(config) {\n    const dataAttributes = Manipulator.getDataAttributes(this._element);\n\n    for (const dataAttribute of Object.keys(dataAttributes)) {\n      if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n        delete dataAttributes[dataAttribute];\n      }\n    }\n\n    config = { ...dataAttributes,\n      ...(typeof config === 'object' && config ? config : {})\n    };\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n\n    this._typeCheckConfig(config);\n\n    return config;\n  }\n\n  _configAfterMerge(config) {\n    config.container = config.container === false ? document.body : getElement(config.container);\n\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      };\n    }\n\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString();\n    }\n\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString();\n    }\n\n    return config;\n  }\n\n  _getDelegateConfig() {\n    const config = {};\n\n    for (const key in this._config) {\n      if (this.constructor.Default[key] !== this._config[key]) {\n        config[key] = this._config[key];\n      }\n    }\n\n    config.selector = false;\n    config.trigger = 'manual'; // In the future can be replaced with:\n    // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n    // `Object.fromEntries(keysWithDifferentValues)`\n\n    return config;\n  }\n\n  _disposePopper() {\n    if (this._popper) {\n      this._popper.destroy();\n\n      this._popper = null;\n    }\n\n    if (this.tip) {\n      this.tip.remove();\n      this.tip = null;\n    }\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tooltip.getOrCreateInstance(this, config);\n\n      if (typeof config !== 'string') {\n        return;\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n\n      data[config]();\n    });\n  }\n\n}\n/**\n * jQuery\n */\n\n\ndefineJQueryPlugin(Tooltip);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$3 = 'popover';\nconst SELECTOR_TITLE = '.popover-header';\nconst SELECTOR_CONTENT = '.popover-body';\nconst Default$2 = { ...Tooltip.Default,\n  content: '',\n  offset: [0, 8],\n  placement: 'right',\n  template: '<div class=\"popover\" role=\"tooltip\">' + '<div class=\"popover-arrow\"></div>' + '<h3 class=\"popover-header\"></h3>' + '<div class=\"popover-body\"></div>' + '</div>',\n  trigger: 'click'\n};\nconst DefaultType$2 = { ...Tooltip.DefaultType,\n  content: '(null|string|element|function)'\n};\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n  // Getters\n  static get Default() {\n    return Default$2;\n  }\n\n  static get DefaultType() {\n    return DefaultType$2;\n  }\n\n  static get NAME() {\n    return NAME$3;\n  } // Overrides\n\n\n  _isWithContent() {\n    return this._getTitle() || this._getContent();\n  } // Private\n\n\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TITLE]: this._getTitle(),\n      [SELECTOR_CONTENT]: this._getContent()\n    };\n  }\n\n  _getContent() {\n    return this._resolvePossibleFunction(this._config.content);\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Popover.getOrCreateInstance(this, config);\n\n      if (typeof config !== 'string') {\n        return;\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n\n      data[config]();\n    });\n  }\n\n}\n/**\n * jQuery\n */\n\n\ndefineJQueryPlugin(Popover);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$2 = 'scrollspy';\nconst DATA_KEY$2 = 'bs.scrollspy';\nconst EVENT_KEY$2 = `.${DATA_KEY$2}`;\nconst DATA_API_KEY = '.data-api';\nconst EVENT_ACTIVATE = `activate${EVENT_KEY$2}`;\nconst EVENT_CLICK = `click${EVENT_KEY$2}`;\nconst EVENT_LOAD_DATA_API$1 = `load${EVENT_KEY$2}${DATA_API_KEY}`;\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item';\nconst CLASS_NAME_ACTIVE$1 = 'active';\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]';\nconst SELECTOR_TARGET_LINKS = '[href]';\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group';\nconst SELECTOR_NAV_LINKS = '.nav-link';\nconst SELECTOR_NAV_ITEMS = '.nav-item';\nconst SELECTOR_LIST_ITEMS = '.list-group-item';\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`;\nconst SELECTOR_DROPDOWN = '.dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE$1 = '.dropdown-toggle';\nconst Default$1 = {\n  offset: null,\n  // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: '0px 0px -25%',\n  smoothScroll: false,\n  target: null,\n  threshold: [0.1, 0.5, 1]\n};\nconst DefaultType$1 = {\n  offset: '(number|null)',\n  // TODO v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: 'string',\n  smoothScroll: 'boolean',\n  target: 'element',\n  threshold: 'array'\n};\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n  constructor(element, config) {\n    super(element, config); // this._element is the observablesContainer and config.target the menu links wrapper\n\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element;\n    this._activeTarget = null;\n    this._observer = null;\n    this._previousScrollData = {\n      visibleEntryTop: 0,\n      parentScrollTop: 0\n    };\n    this.refresh(); // initialize\n  } // Getters\n\n\n  static get Default() {\n    return Default$1;\n  }\n\n  static get DefaultType() {\n    return DefaultType$1;\n  }\n\n  static get NAME() {\n    return NAME$2;\n  } // Public\n\n\n  refresh() {\n    this._initializeTargetsAndObservables();\n\n    this._maybeEnableSmoothScroll();\n\n    if (this._observer) {\n      this._observer.disconnect();\n    } else {\n      this._observer = this._getNewObserver();\n    }\n\n    for (const section of this._observableSections.values()) {\n      this._observer.observe(section);\n    }\n  }\n\n  dispose() {\n    this._observer.disconnect();\n\n    super.dispose();\n  } // Private\n\n\n  _configAfterMerge(config) {\n    // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n    config.target = getElement(config.target) || document.body; // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n\n    config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin;\n\n    if (typeof config.threshold === 'string') {\n      config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value));\n    }\n\n    return config;\n  }\n\n  _maybeEnableSmoothScroll() {\n    if (!this._config.smoothScroll) {\n      return;\n    } // unregister any previous listeners\n\n\n    EventHandler.off(this._config.target, EVENT_CLICK);\n    EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n      const observableSection = this._observableSections.get(event.target.hash);\n\n      if (observableSection) {\n        event.preventDefault();\n        const root = this._rootElement || window;\n        const height = observableSection.offsetTop - this._element.offsetTop;\n\n        if (root.scrollTo) {\n          root.scrollTo({\n            top: height,\n            behavior: 'smooth'\n          });\n          return;\n        } // Chrome 60 doesn't support `scrollTo`\n\n\n        root.scrollTop = height;\n      }\n    });\n  }\n\n  _getNewObserver() {\n    const options = {\n      root: this._rootElement,\n      threshold: this._config.threshold,\n      rootMargin: this._config.rootMargin\n    };\n    return new IntersectionObserver(entries => this._observerCallback(entries), options);\n  } // The logic of selection\n\n\n  _observerCallback(entries) {\n    const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`);\n\n    const activate = entry => {\n      this._previousScrollData.visibleEntryTop = entry.target.offsetTop;\n\n      this._process(targetElement(entry));\n    };\n\n    const parentScrollTop = (this._rootElement || document.documentElement).scrollTop;\n    const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop;\n    this._previousScrollData.parentScrollTop = parentScrollTop;\n\n    for (const entry of entries) {\n      if (!entry.isIntersecting) {\n        this._activeTarget = null;\n\n        this._clearActiveClass(targetElement(entry));\n\n        continue;\n      }\n\n      const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop; // if we are scrolling down, pick the bigger offsetTop\n\n      if (userScrollsDown && entryIsLowerThanPrevious) {\n        activate(entry); // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n\n        if (!parentScrollTop) {\n          return;\n        }\n\n        continue;\n      } // if we are scrolling up, pick the smallest offsetTop\n\n\n      if (!userScrollsDown && !entryIsLowerThanPrevious) {\n        activate(entry);\n      }\n    }\n  }\n\n  _initializeTargetsAndObservables() {\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target);\n\n    for (const anchor of targetLinks) {\n      // ensure that the anchor has an id and is not disabled\n      if (!anchor.hash || isDisabled(anchor)) {\n        continue;\n      }\n\n      const observableSection = SelectorEngine.findOne(anchor.hash, this._element); // ensure that the observableSection exists & is visible\n\n      if (isVisible(observableSection)) {\n        this._targetLinks.set(anchor.hash, anchor);\n\n        this._observableSections.set(anchor.hash, observableSection);\n      }\n    }\n  }\n\n  _process(target) {\n    if (this._activeTarget === target) {\n      return;\n    }\n\n    this._clearActiveClass(this._config.target);\n\n    this._activeTarget = target;\n    target.classList.add(CLASS_NAME_ACTIVE$1);\n\n    this._activateParents(target);\n\n    EventHandler.trigger(this._element, EVENT_ACTIVATE, {\n      relatedTarget: target\n    });\n  }\n\n  _activateParents(target) {\n    // Activate dropdown parents\n    if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n      SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE$1, target.closest(SELECTOR_DROPDOWN)).classList.add(CLASS_NAME_ACTIVE$1);\n      return;\n    }\n\n    for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n      // Set triggered links parents as active\n      // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n      for (const item of SelectorEngine.prev(listGroup, SELECTOR_LINK_ITEMS)) {\n        item.classList.add(CLASS_NAME_ACTIVE$1);\n      }\n    }\n  }\n\n  _clearActiveClass(parent) {\n    parent.classList.remove(CLASS_NAME_ACTIVE$1);\n    const activeNodes = SelectorEngine.find(`${SELECTOR_TARGET_LINKS}.${CLASS_NAME_ACTIVE$1}`, parent);\n\n    for (const node of activeNodes) {\n      node.classList.remove(CLASS_NAME_ACTIVE$1);\n    }\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = ScrollSpy.getOrCreateInstance(this, config);\n\n      if (typeof config !== 'string') {\n        return;\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n\n      data[config]();\n    });\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(window, EVENT_LOAD_DATA_API$1, () => {\n  for (const spy of SelectorEngine.find(SELECTOR_DATA_SPY)) {\n    ScrollSpy.getOrCreateInstance(spy);\n  }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(ScrollSpy);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$1 = 'tab';\nconst DATA_KEY$1 = 'bs.tab';\nconst EVENT_KEY$1 = `.${DATA_KEY$1}`;\nconst EVENT_HIDE$1 = `hide${EVENT_KEY$1}`;\nconst EVENT_HIDDEN$1 = `hidden${EVENT_KEY$1}`;\nconst EVENT_SHOW$1 = `show${EVENT_KEY$1}`;\nconst EVENT_SHOWN$1 = `shown${EVENT_KEY$1}`;\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY$1}`;\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY$1}`;\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY$1}`;\nconst ARROW_LEFT_KEY = 'ArrowLeft';\nconst ARROW_RIGHT_KEY = 'ArrowRight';\nconst ARROW_UP_KEY = 'ArrowUp';\nconst ARROW_DOWN_KEY = 'ArrowDown';\nconst CLASS_NAME_ACTIVE = 'active';\nconst CLASS_NAME_FADE$1 = 'fade';\nconst CLASS_NAME_SHOW$1 = 'show';\nconst CLASS_DROPDOWN = 'dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle';\nconst SELECTOR_DROPDOWN_MENU = '.dropdown-menu';\nconst NOT_SELECTOR_DROPDOWN_TOGGLE = ':not(.dropdown-toggle)';\nconst SELECTOR_TAB_PANEL = '.list-group, .nav, [role=\"tablist\"]';\nconst SELECTOR_OUTER = '.nav-item, .list-group-item';\nconst SELECTOR_INNER = `.nav-link${NOT_SELECTOR_DROPDOWN_TOGGLE}, .list-group-item${NOT_SELECTOR_DROPDOWN_TOGGLE}, [role=\"tab\"]${NOT_SELECTOR_DROPDOWN_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]'; // todo:v6: could be only `tab`\n\nconst SELECTOR_INNER_ELEM = `${SELECTOR_INNER}, ${SELECTOR_DATA_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE_ACTIVE = `.${CLASS_NAME_ACTIVE}[data-bs-toggle=\"tab\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"pill\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"list\"]`;\n/**\n * Class definition\n */\n\nclass Tab extends BaseComponent {\n  constructor(element) {\n    super(element);\n    this._parent = this._element.closest(SELECTOR_TAB_PANEL);\n\n    if (!this._parent) {\n      return; // todo: should Throw exception on v6\n      // throw new TypeError(`${element.outerHTML} has not a valid parent ${SELECTOR_INNER_ELEM}`)\n    } // Set up initial aria attributes\n\n\n    this._setInitialAttributes(this._parent, this._getChildren());\n\n    EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event));\n  } // Getters\n\n\n  static get NAME() {\n    return NAME$1;\n  } // Public\n\n\n  show() {\n    // Shows this elem and deactivate the active sibling if exists\n    const innerElem = this._element;\n\n    if (this._elemIsActive(innerElem)) {\n      return;\n    } // Search for active tab on same parent to deactivate it\n\n\n    const active = this._getActiveElem();\n\n    const hideEvent = active ? EventHandler.trigger(active, EVENT_HIDE$1, {\n      relatedTarget: innerElem\n    }) : null;\n    const showEvent = EventHandler.trigger(innerElem, EVENT_SHOW$1, {\n      relatedTarget: active\n    });\n\n    if (showEvent.defaultPrevented || hideEvent && hideEvent.defaultPrevented) {\n      return;\n    }\n\n    this._deactivate(active, innerElem);\n\n    this._activate(innerElem, active);\n  } // Private\n\n\n  _activate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n\n    element.classList.add(CLASS_NAME_ACTIVE);\n\n    this._activate(getElementFromSelector(element)); // Search and activate/show the proper section\n\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.add(CLASS_NAME_SHOW$1);\n        return;\n      }\n\n      element.removeAttribute('tabindex');\n      element.setAttribute('aria-selected', true);\n\n      this._toggleDropDown(element, true);\n\n      EventHandler.trigger(element, EVENT_SHOWN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n\n  _deactivate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n\n    element.classList.remove(CLASS_NAME_ACTIVE);\n    element.blur();\n\n    this._deactivate(getElementFromSelector(element)); // Search and deactivate the shown section too\n\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.remove(CLASS_NAME_SHOW$1);\n        return;\n      }\n\n      element.setAttribute('aria-selected', false);\n      element.setAttribute('tabindex', '-1');\n\n      this._toggleDropDown(element, false);\n\n      EventHandler.trigger(element, EVENT_HIDDEN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n\n  _keydown(event) {\n    if (![ARROW_LEFT_KEY, ARROW_RIGHT_KEY, ARROW_UP_KEY, ARROW_DOWN_KEY].includes(event.key)) {\n      return;\n    }\n\n    event.stopPropagation(); // stopPropagation/preventDefault both added to support up/down keys without scrolling the page\n\n    event.preventDefault();\n    const isNext = [ARROW_RIGHT_KEY, ARROW_DOWN_KEY].includes(event.key);\n    const nextActiveElement = getNextActiveElement(this._getChildren().filter(element => !isDisabled(element)), event.target, isNext, true);\n\n    if (nextActiveElement) {\n      nextActiveElement.focus({\n        preventScroll: true\n      });\n      Tab.getOrCreateInstance(nextActiveElement).show();\n    }\n  }\n\n  _getChildren() {\n    // collection of inner elements\n    return SelectorEngine.find(SELECTOR_INNER_ELEM, this._parent);\n  }\n\n  _getActiveElem() {\n    return this._getChildren().find(child => this._elemIsActive(child)) || null;\n  }\n\n  _setInitialAttributes(parent, children) {\n    this._setAttributeIfNotExists(parent, 'role', 'tablist');\n\n    for (const child of children) {\n      this._setInitialAttributesOnChild(child);\n    }\n  }\n\n  _setInitialAttributesOnChild(child) {\n    child = this._getInnerElement(child);\n\n    const isActive = this._elemIsActive(child);\n\n    const outerElem = this._getOuterElement(child);\n\n    child.setAttribute('aria-selected', isActive);\n\n    if (outerElem !== child) {\n      this._setAttributeIfNotExists(outerElem, 'role', 'presentation');\n    }\n\n    if (!isActive) {\n      child.setAttribute('tabindex', '-1');\n    }\n\n    this._setAttributeIfNotExists(child, 'role', 'tab'); // set attributes to the related panel too\n\n\n    this._setInitialAttributesOnTargetPanel(child);\n  }\n\n  _setInitialAttributesOnTargetPanel(child) {\n    const target = getElementFromSelector(child);\n\n    if (!target) {\n      return;\n    }\n\n    this._setAttributeIfNotExists(target, 'role', 'tabpanel');\n\n    if (child.id) {\n      this._setAttributeIfNotExists(target, 'aria-labelledby', `#${child.id}`);\n    }\n  }\n\n  _toggleDropDown(element, open) {\n    const outerElem = this._getOuterElement(element);\n\n    if (!outerElem.classList.contains(CLASS_DROPDOWN)) {\n      return;\n    }\n\n    const toggle = (selector, className) => {\n      const element = SelectorEngine.findOne(selector, outerElem);\n\n      if (element) {\n        element.classList.toggle(className, open);\n      }\n    };\n\n    toggle(SELECTOR_DROPDOWN_TOGGLE, CLASS_NAME_ACTIVE);\n    toggle(SELECTOR_DROPDOWN_MENU, CLASS_NAME_SHOW$1);\n    outerElem.setAttribute('aria-expanded', open);\n  }\n\n  _setAttributeIfNotExists(element, attribute, value) {\n    if (!element.hasAttribute(attribute)) {\n      element.setAttribute(attribute, value);\n    }\n  }\n\n  _elemIsActive(elem) {\n    return elem.classList.contains(CLASS_NAME_ACTIVE);\n  } // Try to get the inner element (usually the .nav-link)\n\n\n  _getInnerElement(elem) {\n    return elem.matches(SELECTOR_INNER_ELEM) ? elem : SelectorEngine.findOne(SELECTOR_INNER_ELEM, elem);\n  } // Try to get the outer element (usually the .nav-item)\n\n\n  _getOuterElement(elem) {\n    return elem.closest(SELECTOR_OUTER) || elem;\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tab.getOrCreateInstance(this);\n\n      if (typeof config !== 'string') {\n        return;\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n\n      data[config]();\n    });\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n\n  if (isDisabled(this)) {\n    return;\n  }\n\n  Tab.getOrCreateInstance(this).show();\n});\n/**\n * Initialize on focus\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const element of SelectorEngine.find(SELECTOR_DATA_TOGGLE_ACTIVE)) {\n    Tab.getOrCreateInstance(element);\n  }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tab);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME = 'toast';\nconst DATA_KEY = 'bs.toast';\nconst EVENT_KEY = `.${DATA_KEY}`;\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`;\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`;\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`;\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`;\nconst EVENT_HIDE = `hide${EVENT_KEY}`;\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`;\nconst EVENT_SHOW = `show${EVENT_KEY}`;\nconst EVENT_SHOWN = `shown${EVENT_KEY}`;\nconst CLASS_NAME_FADE = 'fade';\nconst CLASS_NAME_HIDE = 'hide'; // @deprecated - kept here only for backwards compatibility\n\nconst CLASS_NAME_SHOW = 'show';\nconst CLASS_NAME_SHOWING = 'showing';\nconst DefaultType = {\n  animation: 'boolean',\n  autohide: 'boolean',\n  delay: 'number'\n};\nconst Default = {\n  animation: true,\n  autohide: true,\n  delay: 5000\n};\n/**\n * Class definition\n */\n\nclass Toast extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._timeout = null;\n    this._hasMouseInteraction = false;\n    this._hasKeyboardInteraction = false;\n\n    this._setListeners();\n  } // Getters\n\n\n  static get Default() {\n    return Default;\n  }\n\n  static get DefaultType() {\n    return DefaultType;\n  }\n\n  static get NAME() {\n    return NAME;\n  } // Public\n\n\n  show() {\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW);\n\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n\n    this._clearTimeout();\n\n    if (this._config.animation) {\n      this._element.classList.add(CLASS_NAME_FADE);\n    }\n\n    const complete = () => {\n      this._element.classList.remove(CLASS_NAME_SHOWING);\n\n      EventHandler.trigger(this._element, EVENT_SHOWN);\n\n      this._maybeScheduleHide();\n    };\n\n    this._element.classList.remove(CLASS_NAME_HIDE); // @deprecated\n\n\n    reflow(this._element);\n\n    this._element.classList.add(CLASS_NAME_SHOW, CLASS_NAME_SHOWING);\n\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n\n  hide() {\n    if (!this.isShown()) {\n      return;\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE);\n\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    const complete = () => {\n      this._element.classList.add(CLASS_NAME_HIDE); // @deprecated\n\n\n      this._element.classList.remove(CLASS_NAME_SHOWING, CLASS_NAME_SHOW);\n\n      EventHandler.trigger(this._element, EVENT_HIDDEN);\n    };\n\n    this._element.classList.add(CLASS_NAME_SHOWING);\n\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n\n  dispose() {\n    this._clearTimeout();\n\n    if (this.isShown()) {\n      this._element.classList.remove(CLASS_NAME_SHOW);\n    }\n\n    super.dispose();\n  }\n\n  isShown() {\n    return this._element.classList.contains(CLASS_NAME_SHOW);\n  } // Private\n\n\n  _maybeScheduleHide() {\n    if (!this._config.autohide) {\n      return;\n    }\n\n    if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n      return;\n    }\n\n    this._timeout = setTimeout(() => {\n      this.hide();\n    }, this._config.delay);\n  }\n\n  _onInteraction(event, isInteracting) {\n    switch (event.type) {\n      case 'mouseover':\n      case 'mouseout':\n        {\n          this._hasMouseInteraction = isInteracting;\n          break;\n        }\n\n      case 'focusin':\n      case 'focusout':\n        {\n          this._hasKeyboardInteraction = isInteracting;\n          break;\n        }\n    }\n\n    if (isInteracting) {\n      this._clearTimeout();\n\n      return;\n    }\n\n    const nextElement = event.relatedTarget;\n\n    if (this._element === nextElement || this._element.contains(nextElement)) {\n      return;\n    }\n\n    this._maybeScheduleHide();\n  }\n\n  _setListeners() {\n    EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false));\n    EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false));\n  }\n\n  _clearTimeout() {\n    clearTimeout(this._timeout);\n    this._timeout = null;\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Toast.getOrCreateInstance(this, config);\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n\n        data[config](this);\n      }\n    });\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nenableDismissTrigger(Toast);\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Toast);\n\nexport { Alert, Button, Carousel, Collapse, Dropdown, Modal, Offcanvas, Popover, ScrollSpy, Tab, Toast, Tooltip };\n//# sourceMappingURL=bootstrap.esm.js.map\n","/* define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if (document.readyState != \"loading\") callback();\n  else document.addEventListener(\"DOMContentLoaded\", callback);\n}\n","// Import and setup functions to control Bootstrap's behavior.\nimport 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(element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n  if (node == null) {\n    return window;\n  }\n\n  if (node.toString() !== '[object Window]') {\n    var ownerDocument = node.ownerDocument;\n    return ownerDocument ? ownerDocument.defaultView || window : window;\n  }\n\n  return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n  var OwnElement = getWindow(node).Element;\n  return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n  var OwnElement = getWindow(node).HTMLElement;\n  return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n  // IE 11 has no ShadowRoot\n  if (typeof ShadowRoot === 'undefined') {\n    return false;\n  }\n\n  var OwnElement = getWindow(node).ShadowRoot;\n  return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n  var state = _ref.state;\n  Object.keys(state.elements).forEach(function (name) {\n    var style = state.styles[name] || {};\n    var attributes = state.attributes[name] || {};\n    var element = state.elements[name]; // arrow is optional + virtual elements\n\n    if (!isHTMLElement(element) || !getNodeName(element)) {\n      return;\n    } // Flow doesn't support to extend this property, but it's the most\n    // effective way to apply styles to an HTMLElement\n    // $FlowFixMe[cannot-write]\n\n\n    Object.assign(element.style, style);\n    Object.keys(attributes).forEach(function (name) {\n      var value = attributes[name];\n\n      if (value === false) {\n        element.removeAttribute(name);\n      } else {\n        element.setAttribute(name, value === true ? '' : value);\n      }\n    });\n  });\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state;\n  var initialStyles = {\n    popper: {\n      position: state.options.strategy,\n      left: '0',\n      top: '0',\n      margin: '0'\n    },\n    arrow: {\n      position: 'absolute'\n    },\n    reference: {}\n  };\n  Object.assign(state.elements.popper.style, initialStyles.popper);\n  state.styles = initialStyles;\n\n  if (state.elements.arrow) {\n    Object.assign(state.elements.arrow.style, initialStyles.arrow);\n  }\n\n  return function () {\n    Object.keys(state.elements).forEach(function (name) {\n      var element = state.elements[name];\n      var attributes = state.attributes[name] || {};\n      var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n      var style = styleProperties.reduce(function (style, property) {\n        style[property] = '';\n        return style;\n      }, {}); // arrow is optional + virtual elements\n\n      if (!isHTMLElement(element) || !getNodeName(element)) {\n        return;\n      }\n\n      Object.assign(element.style, style);\n      Object.keys(attributes).forEach(function (attribute) {\n        element.removeAttribute(attribute);\n      });\n    });\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'applyStyles',\n  enabled: true,\n  phase: 'write',\n  fn: applyStyles,\n  effect: effect,\n  requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n  return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n  var uaData = navigator.userAgentData;\n\n  if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n    return uaData.brands.map(function (item) {\n      return item.brand + \"/\" + item.version;\n    }).join(' ');\n  }\n\n  return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n  return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n  if (includeScale === void 0) {\n    includeScale = false;\n  }\n\n  if (isFixedStrategy === void 0) {\n    isFixedStrategy = false;\n  }\n\n  var clientRect = element.getBoundingClientRect();\n  var scaleX = 1;\n  var scaleY = 1;\n\n  if (includeScale && isHTMLElement(element)) {\n    scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n    scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n  }\n\n  var _ref = isElement(element) ? getWindow(element) : window,\n      visualViewport = _ref.visualViewport;\n\n  var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n  var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n  var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n  var width = clientRect.width / scaleX;\n  var height = clientRect.height / scaleY;\n  return {\n    width: width,\n    height: height,\n    top: y,\n    right: x + width,\n    bottom: y + height,\n    left: x,\n    x: x,\n    y: y\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n  var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n  // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n  var width = element.offsetWidth;\n  var height = element.offsetHeight;\n\n  if (Math.abs(clientRect.width - width) <= 1) {\n    width = clientRect.width;\n  }\n\n  if (Math.abs(clientRect.height - height) <= 1) {\n    height = clientRect.height;\n  }\n\n  return {\n    x: element.offsetLeft,\n    y: element.offsetTop,\n    width: width,\n    height: height\n  };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n  var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n  if (parent.contains(child)) {\n    return true;\n  } // then fallback to custom implementation with Shadow DOM support\n  else if (rootNode && isShadowRoot(rootNode)) {\n      var next = child;\n\n      do {\n        if (next && parent.isSameNode(next)) {\n          return true;\n        } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n        next = next.parentNode || next.host;\n      } while (next);\n    } // Give up, the result is false\n\n\n  return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n  return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n  return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n  // $FlowFixMe[incompatible-return]: assume body is always available\n  return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n  element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n  if (getNodeName(element) === 'html') {\n    return element;\n  }\n\n  return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n    // $FlowFixMe[incompatible-return]\n    // $FlowFixMe[prop-missing]\n    element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n    element.parentNode || ( // DOM Element detected\n    isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n    // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n    getDocumentElement(element) // fallback\n\n  );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n  if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n  getComputedStyle(element).position === 'fixed') {\n    return null;\n  }\n\n  return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n  var isFirefox = /firefox/i.test(getUAString());\n  var isIE = /Trident/i.test(getUAString());\n\n  if (isIE && isHTMLElement(element)) {\n    // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n    var elementCss = getComputedStyle(element);\n\n    if (elementCss.position === 'fixed') {\n      return null;\n    }\n  }\n\n  var currentNode = getParentNode(element);\n\n  if (isShadowRoot(currentNode)) {\n    currentNode = currentNode.host;\n  }\n\n  while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n    var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n    // create a containing block.\n    // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n    if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n      return currentNode;\n    } else {\n      currentNode = currentNode.parentNode;\n    }\n  }\n\n  return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n  var window = getWindow(element);\n  var offsetParent = getTrueOffsetParent(element);\n\n  while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n    offsetParent = getTrueOffsetParent(offsetParent);\n  }\n\n  if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n    return window;\n  }\n\n  return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n  return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n  return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n  var v = within(min, value, max);\n  return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n  return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n  return {\n    top: 0,\n    right: 0,\n    bottom: 0,\n    left: 0\n  };\n}","export default function expandToHashMap(value, keys) {\n  return keys.reduce(function (hashMap, key) {\n    hashMap[key] = value;\n    return hashMap;\n  }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n  padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : padding;\n  return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n  var _state$modifiersData$;\n\n  var state = _ref.state,\n      name = _ref.name,\n      options = _ref.options;\n  var arrowElement = state.elements.arrow;\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var basePlacement = getBasePlacement(state.placement);\n  var axis = getMainAxisFromPlacement(basePlacement);\n  var isVertical = [left, right].indexOf(basePlacement) >= 0;\n  var len = isVertical ? 'height' : 'width';\n\n  if (!arrowElement || !popperOffsets) {\n    return;\n  }\n\n  var paddingObject = toPaddingObject(options.padding, state);\n  var arrowRect = getLayoutRect(arrowElement);\n  var minProp = axis === 'y' ? top : left;\n  var maxProp = axis === 'y' ? bottom : right;\n  var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n  var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n  var arrowOffsetParent = getOffsetParent(arrowElement);\n  var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n  var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n  // outside of the popper bounds\n\n  var min = paddingObject[minProp];\n  var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n  var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n  var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n  var axisProp = axis;\n  state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options;\n  var _options$element = options.element,\n      arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n  if (arrowElement == null) {\n    return;\n  } // CSS selector\n\n\n  if (typeof arrowElement === 'string') {\n    arrowElement = state.elements.popper.querySelector(arrowElement);\n\n    if (!arrowElement) {\n      return;\n    }\n  }\n\n  if (!contains(state.elements.popper, arrowElement)) {\n    return;\n  }\n\n  state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'arrow',\n  enabled: true,\n  phase: 'main',\n  fn: arrow,\n  effect: effect,\n  requires: ['popperOffsets'],\n  requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n  return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n  top: 'auto',\n  right: 'auto',\n  bottom: 'auto',\n  left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n  var x = _ref.x,\n      y = _ref.y;\n  var dpr = win.devicePixelRatio || 1;\n  return {\n    x: round(x * dpr) / dpr || 0,\n    y: round(y * dpr) / dpr || 0\n  };\n}\n\nexport function mapToStyles(_ref2) {\n  var _Object$assign2;\n\n  var popper = _ref2.popper,\n      popperRect = _ref2.popperRect,\n      placement = _ref2.placement,\n      variation = _ref2.variation,\n      offsets = _ref2.offsets,\n      position = _ref2.position,\n      gpuAcceleration = _ref2.gpuAcceleration,\n      adaptive = _ref2.adaptive,\n      roundOffsets = _ref2.roundOffsets,\n      isFixed = _ref2.isFixed;\n  var _offsets$x = offsets.x,\n      x = _offsets$x === void 0 ? 0 : _offsets$x,\n      _offsets$y = offsets.y,\n      y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n  var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref3.x;\n  y = _ref3.y;\n  var hasX = offsets.hasOwnProperty('x');\n  var hasY = offsets.hasOwnProperty('y');\n  var sideX = left;\n  var sideY = top;\n  var win = window;\n\n  if (adaptive) {\n    var offsetParent = getOffsetParent(popper);\n    var heightProp = 'clientHeight';\n    var widthProp = 'clientWidth';\n\n    if (offsetParent === getWindow(popper)) {\n      offsetParent = getDocumentElement(popper);\n\n      if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n        heightProp = 'scrollHeight';\n        widthProp = 'scrollWidth';\n      }\n    } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n    offsetParent = offsetParent;\n\n    if (placement === top || (placement === left || placement === right) && variation === end) {\n      sideY = bottom;\n      var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n      offsetParent[heightProp];\n      y -= offsetY - popperRect.height;\n      y *= gpuAcceleration ? 1 : -1;\n    }\n\n    if (placement === left || (placement === top || placement === bottom) && variation === end) {\n      sideX = right;\n      var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n      offsetParent[widthProp];\n      x -= offsetX - popperRect.width;\n      x *= gpuAcceleration ? 1 : -1;\n    }\n  }\n\n  var commonStyles = Object.assign({\n    position: position\n  }, adaptive && unsetSides);\n\n  var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n    x: x,\n    y: y\n  }, getWindow(popper)) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref4.x;\n  y = _ref4.y;\n\n  if (gpuAcceleration) {\n    var _Object$assign;\n\n    return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n  }\n\n  return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n  var state = _ref5.state,\n      options = _ref5.options;\n  var _options$gpuAccelerat = options.gpuAcceleration,\n      gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n      _options$adaptive = options.adaptive,\n      adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n      _options$roundOffsets = options.roundOffsets,\n      roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n  var commonStyles = {\n    placement: getBasePlacement(state.placement),\n    variation: getVariation(state.placement),\n    popper: state.elements.popper,\n    popperRect: state.rects.popper,\n    gpuAcceleration: gpuAcceleration,\n    isFixed: state.options.strategy === 'fixed'\n  };\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.popperOffsets,\n      position: state.options.strategy,\n      adaptive: adaptive,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  if (state.modifiersData.arrow != null) {\n    state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.arrow,\n      position: 'absolute',\n      adaptive: false,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-placement': state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'computeStyles',\n  enabled: true,\n  phase: 'beforeWrite',\n  fn: computeStyles,\n  data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n  passive: true\n};\n\nfunction effect(_ref) {\n  var state = _ref.state,\n      instance = _ref.instance,\n      options = _ref.options;\n  var _options$scroll = options.scroll,\n      scroll = _options$scroll === void 0 ? true : _options$scroll,\n      _options$resize = options.resize,\n      resize = _options$resize === void 0 ? true : _options$resize;\n  var window = getWindow(state.elements.popper);\n  var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n  if (scroll) {\n    scrollParents.forEach(function (scrollParent) {\n      scrollParent.addEventListener('scroll', instance.update, passive);\n    });\n  }\n\n  if (resize) {\n    window.addEventListener('resize', instance.update, passive);\n  }\n\n  return function () {\n    if (scroll) {\n      scrollParents.forEach(function (scrollParent) {\n        scrollParent.removeEventListener('scroll', instance.update, passive);\n      });\n    }\n\n    if (resize) {\n      window.removeEventListener('resize', instance.update, passive);\n    }\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'eventListeners',\n  enabled: true,\n  phase: 'write',\n  fn: function fn() {},\n  effect: effect,\n  data: {}\n};","var hash = {\n  left: 'right',\n  right: 'left',\n  bottom: 'top',\n  top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}","var hash = {\n  start: 'end',\n  end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n  return placement.replace(/start|end/g, function (matched) {\n    return hash[matched];\n  });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n  var win = getWindow(node);\n  var scrollLeft = win.pageXOffset;\n  var scrollTop = win.pageYOffset;\n  return {\n    scrollLeft: scrollLeft,\n    scrollTop: scrollTop\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n  // If <html> has a CSS width greater than the viewport, then this will be\n  // incorrect for RTL.\n  // Popper 1 is broken in this case and never had a bug report so let's assume\n  // it's not an issue. I don't think anyone ever specifies width on <html>\n  // anyway.\n  // Browsers where the left scrollbar doesn't cause an issue report `0` for\n  // this (e.g. Edge 2019, IE11, Safari)\n  return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n  // Firefox wants us to check `-x` and `-y` variations as well\n  var _getComputedStyle = getComputedStyle(element),\n      overflow = _getComputedStyle.overflow,\n      overflowX = _getComputedStyle.overflowX,\n      overflowY = _getComputedStyle.overflowY;\n\n  return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n  if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n    // $FlowFixMe[incompatible-return]: assume body is always available\n    return node.ownerDocument.body;\n  }\n\n  if (isHTMLElement(node) && isScrollParent(node)) {\n    return node;\n  }\n\n  return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n  var _element$ownerDocumen;\n\n  if (list === void 0) {\n    list = [];\n  }\n\n  var scrollParent = getScrollParent(element);\n  var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n  var win = getWindow(scrollParent);\n  var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n  var updatedList = list.concat(target);\n  return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n  updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n  return Object.assign({}, rect, {\n    left: rect.x,\n    top: rect.y,\n    right: rect.x + rect.width,\n    bottom: rect.y + rect.height\n  });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n  var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n  rect.top = rect.top + element.clientTop;\n  rect.left = rect.left + element.clientLeft;\n  rect.bottom = rect.top + element.clientHeight;\n  rect.right = rect.left + element.clientWidth;\n  rect.width = element.clientWidth;\n  rect.height = element.clientHeight;\n  rect.x = rect.left;\n  rect.y = rect.top;\n  return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n  return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n  var clippingParents = listScrollParents(getParentNode(element));\n  var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n  var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n  if (!isElement(clipperElement)) {\n    return [];\n  } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n  return clippingParents.filter(function (clippingParent) {\n    return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n  });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n  var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n  var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n  var firstClippingParent = clippingParents[0];\n  var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n    var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n    accRect.top = max(rect.top, accRect.top);\n    accRect.right = min(rect.right, accRect.right);\n    accRect.bottom = min(rect.bottom, accRect.bottom);\n    accRect.left = max(rect.left, accRect.left);\n    return accRect;\n  }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n  clippingRect.width = clippingRect.right - clippingRect.left;\n  clippingRect.height = clippingRect.bottom - clippingRect.top;\n  clippingRect.x = clippingRect.left;\n  clippingRect.y = clippingRect.top;\n  return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n  var win = getWindow(element);\n  var html = getDocumentElement(element);\n  var visualViewport = win.visualViewport;\n  var width = html.clientWidth;\n  var height = html.clientHeight;\n  var x = 0;\n  var y = 0;\n\n  if (visualViewport) {\n    width = visualViewport.width;\n    height = visualViewport.height;\n    var layoutViewport = isLayoutViewport();\n\n    if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n      x = visualViewport.offsetLeft;\n      y = visualViewport.offsetTop;\n    }\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x + getWindowScrollBarX(element),\n    y: y\n  };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n  var _element$ownerDocumen;\n\n  var html = getDocumentElement(element);\n  var winScroll = getWindowScroll(element);\n  var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n  var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n  var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n  var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n  var y = -winScroll.scrollTop;\n\n  if (getComputedStyle(body || html).direction === 'rtl') {\n    x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x,\n    y: y\n  };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n  var reference = _ref.reference,\n      element = _ref.element,\n      placement = _ref.placement;\n  var basePlacement = placement ? getBasePlacement(placement) : null;\n  var variation = placement ? getVariation(placement) : null;\n  var commonX = reference.x + reference.width / 2 - element.width / 2;\n  var commonY = reference.y + reference.height / 2 - element.height / 2;\n  var offsets;\n\n  switch (basePlacement) {\n    case top:\n      offsets = {\n        x: commonX,\n        y: reference.y - element.height\n      };\n      break;\n\n    case bottom:\n      offsets = {\n        x: commonX,\n        y: reference.y + reference.height\n      };\n      break;\n\n    case right:\n      offsets = {\n        x: reference.x + reference.width,\n        y: commonY\n      };\n      break;\n\n    case left:\n      offsets = {\n        x: reference.x - element.width,\n        y: commonY\n      };\n      break;\n\n    default:\n      offsets = {\n        x: reference.x,\n        y: reference.y\n      };\n  }\n\n  var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n  if (mainAxis != null) {\n    var len = mainAxis === 'y' ? 'height' : 'width';\n\n    switch (variation) {\n      case start:\n        offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n        break;\n\n      case end:\n        offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n        break;\n\n      default:\n    }\n  }\n\n  return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      _options$placement = _options.placement,\n      placement = _options$placement === void 0 ? state.placement : _options$placement,\n      _options$strategy = _options.strategy,\n      strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n      _options$boundary = _options.boundary,\n      boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n      _options$rootBoundary = _options.rootBoundary,\n      rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n      _options$elementConte = _options.elementContext,\n      elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n      _options$altBoundary = _options.altBoundary,\n      altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n      _options$padding = _options.padding,\n      padding = _options$padding === void 0 ? 0 : _options$padding;\n  var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n  var altContext = elementContext === popper ? reference : popper;\n  var popperRect = state.rects.popper;\n  var element = state.elements[altBoundary ? altContext : elementContext];\n  var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n  var referenceClientRect = getBoundingClientRect(state.elements.reference);\n  var popperOffsets = computeOffsets({\n    reference: referenceClientRect,\n    element: popperRect,\n    strategy: 'absolute',\n    placement: placement\n  });\n  var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n  var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n  // 0 or negative = within the clipping rect\n\n  var overflowOffsets = {\n    top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n    bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n    left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n    right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n  };\n  var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n  if (elementContext === popper && offsetData) {\n    var offset = offsetData[placement];\n    Object.keys(overflowOffsets).forEach(function (key) {\n      var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n      var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n      overflowOffsets[key] += offset[axis] * multiply;\n    });\n  }\n\n  return overflowOffsets;\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n  if (getBasePlacement(placement) === auto) {\n    return [];\n  }\n\n  var oppositePlacement = getOppositePlacement(placement);\n  return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n\n  if (state.modifiersData[name]._skip) {\n    return;\n  }\n\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n      specifiedFallbackPlacements = options.fallbackPlacements,\n      padding = options.padding,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      _options$flipVariatio = options.flipVariations,\n      flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n      allowedAutoPlacements = options.allowedAutoPlacements;\n  var preferredPlacement = state.options.placement;\n  var basePlacement = getBasePlacement(preferredPlacement);\n  var isBasePlacement = basePlacement === preferredPlacement;\n  var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n  var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n    return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding,\n      flipVariations: flipVariations,\n      allowedAutoPlacements: allowedAutoPlacements\n    }) : placement);\n  }, []);\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var checksMap = new Map();\n  var makeFallbackChecks = true;\n  var firstFittingPlacement = placements[0];\n\n  for (var i = 0; i < placements.length; i++) {\n    var placement = placements[i];\n\n    var _basePlacement = getBasePlacement(placement);\n\n    var isStartVariation = getVariation(placement) === start;\n    var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n    var len = isVertical ? 'width' : 'height';\n    var overflow = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      altBoundary: altBoundary,\n      padding: padding\n    });\n    var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n    if (referenceRect[len] > popperRect[len]) {\n      mainVariationSide = getOppositePlacement(mainVariationSide);\n    }\n\n    var altVariationSide = getOppositePlacement(mainVariationSide);\n    var checks = [];\n\n    if (checkMainAxis) {\n      checks.push(overflow[_basePlacement] <= 0);\n    }\n\n    if (checkAltAxis) {\n      checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n    }\n\n    if (checks.every(function (check) {\n      return check;\n    })) {\n      firstFittingPlacement = placement;\n      makeFallbackChecks = false;\n      break;\n    }\n\n    checksMap.set(placement, checks);\n  }\n\n  if (makeFallbackChecks) {\n    // `2` may be desired in some cases – research later\n    var numberOfChecks = flipVariations ? 3 : 1;\n\n    var _loop = function _loop(_i) {\n      var fittingPlacement = placements.find(function (placement) {\n        var checks = checksMap.get(placement);\n\n        if (checks) {\n          return checks.slice(0, _i).every(function (check) {\n            return check;\n          });\n        }\n      });\n\n      if (fittingPlacement) {\n        firstFittingPlacement = fittingPlacement;\n        return \"break\";\n      }\n    };\n\n    for (var _i = numberOfChecks; _i > 0; _i--) {\n      var _ret = _loop(_i);\n\n      if (_ret === \"break\") break;\n    }\n  }\n\n  if (state.placement !== firstFittingPlacement) {\n    state.modifiersData[name]._skip = true;\n    state.placement = firstFittingPlacement;\n    state.reset = true;\n  }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'flip',\n  enabled: true,\n  phase: 'main',\n  fn: flip,\n  requiresIfExists: ['offset'],\n  data: {\n    _skip: false\n  }\n};","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      placement = _options.placement,\n      boundary = _options.boundary,\n      rootBoundary = _options.rootBoundary,\n      padding = _options.padding,\n      flipVariations = _options.flipVariations,\n      _options$allowedAutoP = _options.allowedAutoPlacements,\n      allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n  var variation = getVariation(placement);\n  var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n    return getVariation(placement) === variation;\n  }) : basePlacements;\n  var allowedPlacements = placements.filter(function (placement) {\n    return allowedAutoPlacements.indexOf(placement) >= 0;\n  });\n\n  if (allowedPlacements.length === 0) {\n    allowedPlacements = placements;\n  } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n  var overflows = allowedPlacements.reduce(function (acc, placement) {\n    acc[placement] = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding\n    })[getBasePlacement(placement)];\n    return acc;\n  }, {});\n  return Object.keys(overflows).sort(function (a, b) {\n    return overflows[a] - overflows[b];\n  });\n}","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n  if (preventedOffsets === void 0) {\n    preventedOffsets = {\n      x: 0,\n      y: 0\n    };\n  }\n\n  return {\n    top: overflow.top - rect.height - preventedOffsets.y,\n    right: overflow.right - rect.width + preventedOffsets.x,\n    bottom: overflow.bottom - rect.height + preventedOffsets.y,\n    left: overflow.left - rect.width - preventedOffsets.x\n  };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n  return [top, right, bottom, left].some(function (side) {\n    return overflow[side] >= 0;\n  });\n}\n\nfunction hide(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var preventedOffsets = state.modifiersData.preventOverflow;\n  var referenceOverflow = detectOverflow(state, {\n    elementContext: 'reference'\n  });\n  var popperAltOverflow = detectOverflow(state, {\n    altBoundary: true\n  });\n  var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n  var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n  var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n  var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n  state.modifiersData[name] = {\n    referenceClippingOffsets: referenceClippingOffsets,\n    popperEscapeOffsets: popperEscapeOffsets,\n    isReferenceHidden: isReferenceHidden,\n    hasPopperEscaped: hasPopperEscaped\n  };\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-reference-hidden': isReferenceHidden,\n    'data-popper-escaped': hasPopperEscaped\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'hide',\n  enabled: true,\n  phase: 'main',\n  requiresIfExists: ['preventOverflow'],\n  fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n  var basePlacement = getBasePlacement(placement);\n  var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n  var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n    placement: placement\n  })) : offset,\n      skidding = _ref[0],\n      distance = _ref[1];\n\n  skidding = skidding || 0;\n  distance = (distance || 0) * invertDistance;\n  return [left, right].indexOf(basePlacement) >= 0 ? {\n    x: distance,\n    y: skidding\n  } : {\n    x: skidding,\n    y: distance\n  };\n}\n\nfunction offset(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options,\n      name = _ref2.name;\n  var _options$offset = options.offset,\n      offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n  var data = placements.reduce(function (acc, placement) {\n    acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n    return acc;\n  }, {});\n  var _data$state$placement = data[state.placement],\n      x = _data$state$placement.x,\n      y = _data$state$placement.y;\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.modifiersData.popperOffsets.x += x;\n    state.modifiersData.popperOffsets.y += y;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'offset',\n  enabled: true,\n  phase: 'main',\n  requires: ['popperOffsets'],\n  fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  // Offsets are the actual position the popper needs to have to be\n  // properly positioned near its reference element\n  // This is the most basic placement, and will be adjusted by\n  // the modifiers in the next step\n  state.modifiersData[name] = computeOffsets({\n    reference: state.rects.reference,\n    element: state.rects.popper,\n    strategy: 'absolute',\n    placement: state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'popperOffsets',\n  enabled: true,\n  phase: 'read',\n  fn: popperOffsets,\n  data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      padding = options.padding,\n      _options$tether = options.tether,\n      tether = _options$tether === void 0 ? true : _options$tether,\n      _options$tetherOffset = options.tetherOffset,\n      tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n  var overflow = detectOverflow(state, {\n    boundary: boundary,\n    rootBoundary: rootBoundary,\n    padding: padding,\n    altBoundary: altBoundary\n  });\n  var basePlacement = getBasePlacement(state.placement);\n  var variation = getVariation(state.placement);\n  var isBasePlacement = !variation;\n  var mainAxis = getMainAxisFromPlacement(basePlacement);\n  var altAxis = getAltAxis(mainAxis);\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : tetherOffset;\n  var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n    mainAxis: tetherOffsetValue,\n    altAxis: tetherOffsetValue\n  } : Object.assign({\n    mainAxis: 0,\n    altAxis: 0\n  }, tetherOffsetValue);\n  var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n  var data = {\n    x: 0,\n    y: 0\n  };\n\n  if (!popperOffsets) {\n    return;\n  }\n\n  if (checkMainAxis) {\n    var _offsetModifierState$;\n\n    var mainSide = mainAxis === 'y' ? top : left;\n    var altSide = mainAxis === 'y' ? bottom : right;\n    var len = mainAxis === 'y' ? 'height' : 'width';\n    var offset = popperOffsets[mainAxis];\n    var min = offset + overflow[mainSide];\n    var max = offset - overflow[altSide];\n    var additive = tether ? -popperRect[len] / 2 : 0;\n    var minLen = variation === start ? referenceRect[len] : popperRect[len];\n    var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n    // outside the reference bounds\n\n    var arrowElement = state.elements.arrow;\n    var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n      width: 0,\n      height: 0\n    };\n    var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n    var arrowPaddingMin = arrowPaddingObject[mainSide];\n    var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n    // to include its full size in the calculation. If the reference is small\n    // and near the edge of a boundary, the popper can overflow even if the\n    // reference is not overflowing as well (e.g. virtual elements with no\n    // width or height)\n\n    var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n    var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n    var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n    var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n    var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n    var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n    var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n    var tetherMax = offset + maxOffset - offsetModifierValue;\n    var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n    popperOffsets[mainAxis] = preventedOffset;\n    data[mainAxis] = preventedOffset - offset;\n  }\n\n  if (checkAltAxis) {\n    var _offsetModifierState$2;\n\n    var _mainSide = mainAxis === 'x' ? top : left;\n\n    var _altSide = mainAxis === 'x' ? bottom : right;\n\n    var _offset = popperOffsets[altAxis];\n\n    var _len = altAxis === 'y' ? 'height' : 'width';\n\n    var _min = _offset + overflow[_mainSide];\n\n    var _max = _offset - overflow[_altSide];\n\n    var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n    var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n    var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n    var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n    var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n    popperOffsets[altAxis] = _preventedOffset;\n    data[altAxis] = _preventedOffset - _offset;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'preventOverflow',\n  enabled: true,\n  phase: 'main',\n  fn: preventOverflow,\n  requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n  return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n  var rect = element.getBoundingClientRect();\n  var scaleX = round(rect.width) / element.offsetWidth || 1;\n  var scaleY = round(rect.height) / element.offsetHeight || 1;\n  return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n  if (isFixed === void 0) {\n    isFixed = false;\n  }\n\n  var isOffsetParentAnElement = isHTMLElement(offsetParent);\n  var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n  var documentElement = getDocumentElement(offsetParent);\n  var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n  var scroll = {\n    scrollLeft: 0,\n    scrollTop: 0\n  };\n  var offsets = {\n    x: 0,\n    y: 0\n  };\n\n  if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n    if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n    isScrollParent(documentElement)) {\n      scroll = getNodeScroll(offsetParent);\n    }\n\n    if (isHTMLElement(offsetParent)) {\n      offsets = getBoundingClientRect(offsetParent, true);\n      offsets.x += offsetParent.clientLeft;\n      offsets.y += offsetParent.clientTop;\n    } else if (documentElement) {\n      offsets.x = getWindowScrollBarX(documentElement);\n    }\n  }\n\n  return {\n    x: rect.left + scroll.scrollLeft - offsets.x,\n    y: rect.top + scroll.scrollTop - offsets.y,\n    width: rect.width,\n    height: rect.height\n  };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n  if (node === getWindow(node) || !isHTMLElement(node)) {\n    return getWindowScroll(node);\n  } else {\n    return getHTMLElementScroll(node);\n  }\n}","export default function getHTMLElementScroll(element) {\n  return {\n    scrollLeft: element.scrollLeft,\n    scrollTop: element.scrollTop\n  };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n  var map = new Map();\n  var visited = new Set();\n  var result = [];\n  modifiers.forEach(function (modifier) {\n    map.set(modifier.name, modifier);\n  }); // On visiting object, check for its dependencies and visit them recursively\n\n  function sort(modifier) {\n    visited.add(modifier.name);\n    var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n    requires.forEach(function (dep) {\n      if (!visited.has(dep)) {\n        var depModifier = map.get(dep);\n\n        if (depModifier) {\n          sort(depModifier);\n        }\n      }\n    });\n    result.push(modifier);\n  }\n\n  modifiers.forEach(function (modifier) {\n    if (!visited.has(modifier.name)) {\n      // check for visited object\n      sort(modifier);\n    }\n  });\n  return result;\n}\n\nexport default function orderModifiers(modifiers) {\n  // order based on dependencies\n  var orderedModifiers = order(modifiers); // order based on phase\n\n  return modifierPhases.reduce(function (acc, phase) {\n    return acc.concat(orderedModifiers.filter(function (modifier) {\n      return modifier.phase === phase;\n    }));\n  }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n  placement: 'bottom',\n  modifiers: [],\n  strategy: 'absolute'\n};\n\nfunction areValidElements() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n\n  return !args.some(function (element) {\n    return !(element && typeof element.getBoundingClientRect === 'function');\n  });\n}\n\nexport function popperGenerator(generatorOptions) {\n  if (generatorOptions === void 0) {\n    generatorOptions = {};\n  }\n\n  var _generatorOptions = generatorOptions,\n      _generatorOptions$def = _generatorOptions.defaultModifiers,\n      defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n      _generatorOptions$def2 = _generatorOptions.defaultOptions,\n      defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n  return function createPopper(reference, popper, options) {\n    if (options === void 0) {\n      options = defaultOptions;\n    }\n\n    var state = {\n      placement: 'bottom',\n      orderedModifiers: [],\n      options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n      modifiersData: {},\n      elements: {\n        reference: reference,\n        popper: popper\n      },\n      attributes: {},\n      styles: {}\n    };\n    var effectCleanupFns = [];\n    var isDestroyed = false;\n    var instance = {\n      state: state,\n      setOptions: function setOptions(setOptionsAction) {\n        var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n        cleanupModifierEffects();\n        state.options = Object.assign({}, defaultOptions, state.options, options);\n        state.scrollParents = {\n          reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n          popper: listScrollParents(popper)\n        }; // Orders the modifiers based on their dependencies and `phase`\n        // properties\n\n        var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n        state.orderedModifiers = orderedModifiers.filter(function (m) {\n          return m.enabled;\n        });\n        runModifierEffects();\n        return instance.update();\n      },\n      // Sync update – it will always be executed, even if not necessary. This\n      // is useful for low frequency updates where sync behavior simplifies the\n      // logic.\n      // For high frequency updates (e.g. `resize` and `scroll` events), always\n      // prefer the async Popper#update method\n      forceUpdate: function forceUpdate() {\n        if (isDestroyed) {\n          return;\n        }\n\n        var _state$elements = state.elements,\n            reference = _state$elements.reference,\n            popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n        // anymore\n\n        if (!areValidElements(reference, popper)) {\n          return;\n        } // Store the reference and popper rects to be read by modifiers\n\n\n        state.rects = {\n          reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n          popper: getLayoutRect(popper)\n        }; // Modifiers have the ability to reset the current update cycle. The\n        // most common use case for this is the `flip` modifier changing the\n        // placement, which then needs to re-run all the modifiers, because the\n        // logic was previously ran for the previous placement and is therefore\n        // stale/incorrect\n\n        state.reset = false;\n        state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n        // is filled with the initial data specified by the modifier. This means\n        // it doesn't persist and is fresh on each update.\n        // To ensure persistent data, use `${name}#persistent`\n\n        state.orderedModifiers.forEach(function (modifier) {\n          return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n        });\n\n        for (var index = 0; index < state.orderedModifiers.length; index++) {\n          if (state.reset === true) {\n            state.reset = false;\n            index = -1;\n            continue;\n          }\n\n          var _state$orderedModifie = state.orderedModifiers[index],\n              fn = _state$orderedModifie.fn,\n              _state$orderedModifie2 = _state$orderedModifie.options,\n              _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n              name = _state$orderedModifie.name;\n\n          if (typeof fn === 'function') {\n            state = fn({\n              state: state,\n              options: _options,\n              name: name,\n              instance: instance\n            }) || state;\n          }\n        }\n      },\n      // Async and optimistically optimized update – it will not be executed if\n      // not necessary (debounced to run at most once-per-tick)\n      update: debounce(function () {\n        return new Promise(function (resolve) {\n          instance.forceUpdate();\n          resolve(state);\n        });\n      }),\n      destroy: function destroy() {\n        cleanupModifierEffects();\n        isDestroyed = true;\n      }\n    };\n\n    if (!areValidElements(reference, popper)) {\n      return instance;\n    }\n\n    instance.setOptions(options).then(function (state) {\n      if (!isDestroyed && options.onFirstUpdate) {\n        options.onFirstUpdate(state);\n      }\n    }); // Modifiers have the ability to execute arbitrary code before the first\n    // update cycle runs. They will be executed in the same order as the update\n    // cycle. This is useful when a modifier adds some persistent data that\n    // other modifiers need to use, but the modifier is run after the dependent\n    // one.\n\n    function runModifierEffects() {\n      state.orderedModifiers.forEach(function (_ref) {\n        var name = _ref.name,\n            _ref$options = _ref.options,\n            options = _ref$options === void 0 ? {} : _ref$options,\n            effect = _ref.effect;\n\n        if (typeof effect === 'function') {\n          var cleanupFn = effect({\n            state: state,\n            name: name,\n            instance: instance,\n            options: options\n          });\n\n          var noopFn = function noopFn() {};\n\n          effectCleanupFns.push(cleanupFn || noopFn);\n        }\n      });\n    }\n\n    function cleanupModifierEffects() {\n      effectCleanupFns.forEach(function (fn) {\n        return fn();\n      });\n      effectCleanupFns = [];\n    }\n\n    return instance;\n  };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n  var pending;\n  return function () {\n    if (!pending) {\n      pending = new Promise(function (resolve) {\n        Promise.resolve().then(function () {\n          pending = undefined;\n          resolve(fn());\n        });\n      });\n    }\n\n    return pending;\n  };\n}","export default function mergeByName(modifiers) {\n  var merged = modifiers.reduce(function (merged, current) {\n    var existing = merged[current.name];\n    merged[current.name] = existing ? Object.assign({}, existing, current, {\n      options: Object.assign({}, existing.options, current.options),\n      data: Object.assign({}, existing.data, current.data)\n    }) : current;\n    return merged;\n  }, {}); // IE11 does not support Object.values\n\n  return Object.keys(merged).map(function (key) {\n    return merged[key];\n  });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","/*!\n  * Bootstrap v5.3.3 (https://getbootstrap.com/)\n  * Copyright 2011-2024 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)\n  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n  */\nimport * as Popper from '@popperjs/core';\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * Constants\n */\n\nconst elementMap = new Map();\nconst Data = {\n  set(element, key, instance) {\n    if (!elementMap.has(element)) {\n      elementMap.set(element, new Map());\n    }\n    const instanceMap = elementMap.get(element);\n\n    // make it clear we only want one instance per element\n    // can be removed later when multiple key/instances are fine to be used\n    if (!instanceMap.has(key) && instanceMap.size !== 0) {\n      // eslint-disable-next-line no-console\n      console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`);\n      return;\n    }\n    instanceMap.set(key, instance);\n  },\n  get(element, key) {\n    if (elementMap.has(element)) {\n      return elementMap.get(element).get(key) || null;\n    }\n    return null;\n  },\n  remove(element, key) {\n    if (!elementMap.has(element)) {\n      return;\n    }\n    const instanceMap = elementMap.get(element);\n    instanceMap.delete(key);\n\n    // free up element references if there are no instances left for an element\n    if (instanceMap.size === 0) {\n      elementMap.delete(element);\n    }\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/index.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst MAX_UID = 1000000;\nconst MILLISECONDS_MULTIPLIER = 1000;\nconst TRANSITION_END = 'transitionend';\n\n/**\n * Properly escape IDs selectors to handle weird IDs\n * @param {string} selector\n * @returns {string}\n */\nconst parseSelector = selector => {\n  if (selector && window.CSS && window.CSS.escape) {\n    // document.querySelector needs escaping to handle IDs (html5+) containing for instance /\n    selector = selector.replace(/#([^\\s\"#']+)/g, (match, id) => `#${CSS.escape(id)}`);\n  }\n  return selector;\n};\n\n// Shout-out Angus Croll (https://goo.gl/pxwQGp)\nconst toType = object => {\n  if (object === null || object === undefined) {\n    return `${object}`;\n  }\n  return Object.prototype.toString.call(object).match(/\\s([a-z]+)/i)[1].toLowerCase();\n};\n\n/**\n * Public Util API\n */\n\nconst getUID = prefix => {\n  do {\n    prefix += Math.floor(Math.random() * MAX_UID);\n  } while (document.getElementById(prefix));\n  return prefix;\n};\nconst getTransitionDurationFromElement = element => {\n  if (!element) {\n    return 0;\n  }\n\n  // Get transition-duration of the element\n  let {\n    transitionDuration,\n    transitionDelay\n  } = window.getComputedStyle(element);\n  const floatTransitionDuration = Number.parseFloat(transitionDuration);\n  const floatTransitionDelay = Number.parseFloat(transitionDelay);\n\n  // Return 0 if element or transition duration is not found\n  if (!floatTransitionDuration && !floatTransitionDelay) {\n    return 0;\n  }\n\n  // If multiple durations are defined, take the first\n  transitionDuration = transitionDuration.split(',')[0];\n  transitionDelay = transitionDelay.split(',')[0];\n  return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER;\n};\nconst triggerTransitionEnd = element => {\n  element.dispatchEvent(new Event(TRANSITION_END));\n};\nconst isElement = object => {\n  if (!object || typeof object !== 'object') {\n    return false;\n  }\n  if (typeof object.jquery !== 'undefined') {\n    object = object[0];\n  }\n  return typeof object.nodeType !== 'undefined';\n};\nconst getElement = object => {\n  // it's a jQuery object or a node element\n  if (isElement(object)) {\n    return object.jquery ? object[0] : object;\n  }\n  if (typeof object === 'string' && object.length > 0) {\n    return document.querySelector(parseSelector(object));\n  }\n  return null;\n};\nconst isVisible = element => {\n  if (!isElement(element) || element.getClientRects().length === 0) {\n    return false;\n  }\n  const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible';\n  // Handle `details` element as its content may falsie appear visible when it is closed\n  const closedDetails = element.closest('details:not([open])');\n  if (!closedDetails) {\n    return elementIsVisible;\n  }\n  if (closedDetails !== element) {\n    const summary = element.closest('summary');\n    if (summary && summary.parentNode !== closedDetails) {\n      return false;\n    }\n    if (summary === null) {\n      return false;\n    }\n  }\n  return elementIsVisible;\n};\nconst isDisabled = element => {\n  if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n    return true;\n  }\n  if (element.classList.contains('disabled')) {\n    return true;\n  }\n  if (typeof element.disabled !== 'undefined') {\n    return element.disabled;\n  }\n  return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false';\n};\nconst findShadowRoot = element => {\n  if (!document.documentElement.attachShadow) {\n    return null;\n  }\n\n  // Can find the shadow root otherwise it'll return the document\n  if (typeof element.getRootNode === 'function') {\n    const root = element.getRootNode();\n    return root instanceof ShadowRoot ? root : null;\n  }\n  if (element instanceof ShadowRoot) {\n    return element;\n  }\n\n  // when we don't find a shadow root\n  if (!element.parentNode) {\n    return null;\n  }\n  return findShadowRoot(element.parentNode);\n};\nconst noop = () => {};\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n  element.offsetHeight; // eslint-disable-line no-unused-expressions\n};\nconst getjQuery = () => {\n  if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n    return window.jQuery;\n  }\n  return null;\n};\nconst DOMContentLoadedCallbacks = [];\nconst onDOMContentLoaded = callback => {\n  if (document.readyState === 'loading') {\n    // add listener on the first call when the document is in loading state\n    if (!DOMContentLoadedCallbacks.length) {\n      document.addEventListener('DOMContentLoaded', () => {\n        for (const callback of DOMContentLoadedCallbacks) {\n          callback();\n        }\n      });\n    }\n    DOMContentLoadedCallbacks.push(callback);\n  } else {\n    callback();\n  }\n};\nconst isRTL = () => document.documentElement.dir === 'rtl';\nconst defineJQueryPlugin = plugin => {\n  onDOMContentLoaded(() => {\n    const $ = getjQuery();\n    /* istanbul ignore if */\n    if ($) {\n      const name = plugin.NAME;\n      const JQUERY_NO_CONFLICT = $.fn[name];\n      $.fn[name] = plugin.jQueryInterface;\n      $.fn[name].Constructor = plugin;\n      $.fn[name].noConflict = () => {\n        $.fn[name] = JQUERY_NO_CONFLICT;\n        return plugin.jQueryInterface;\n      };\n    }\n  });\n};\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n  return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue;\n};\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n  if (!waitForTransition) {\n    execute(callback);\n    return;\n  }\n  const durationPadding = 5;\n  const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding;\n  let called = false;\n  const handler = ({\n    target\n  }) => {\n    if (target !== transitionElement) {\n      return;\n    }\n    called = true;\n    transitionElement.removeEventListener(TRANSITION_END, handler);\n    execute(callback);\n  };\n  transitionElement.addEventListener(TRANSITION_END, handler);\n  setTimeout(() => {\n    if (!called) {\n      triggerTransitionEnd(transitionElement);\n    }\n  }, emulatedDuration);\n};\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list    The list of elements\n * @param activeElement   The active element\n * @param shouldGetNext   Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n  const listLength = list.length;\n  let index = list.indexOf(activeElement);\n\n  // if the element does not exist in the list return an element\n  // depending on the direction and if cycle is allowed\n  if (index === -1) {\n    return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0];\n  }\n  index += shouldGetNext ? 1 : -1;\n  if (isCycleAllowed) {\n    index = (index + listLength) % listLength;\n  }\n  return list[Math.max(0, Math.min(index, listLength - 1))];\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/;\nconst stripNameRegex = /\\..*/;\nconst stripUidRegex = /::\\d+$/;\nconst eventRegistry = {}; // Events storage\nlet uidEvent = 1;\nconst customEvents = {\n  mouseenter: 'mouseover',\n  mouseleave: 'mouseout'\n};\nconst nativeEvents = new Set(['click', 'dblclick', 'mouseup', 'mousedown', 'contextmenu', 'mousewheel', 'DOMMouseScroll', 'mouseover', 'mouseout', 'mousemove', 'selectstart', 'selectend', 'keydown', 'keypress', 'keyup', 'orientationchange', 'touchstart', 'touchmove', 'touchend', 'touchcancel', 'pointerdown', 'pointermove', 'pointerup', 'pointerleave', 'pointercancel', 'gesturestart', 'gesturechange', 'gestureend', 'focus', 'blur', 'change', 'reset', 'select', 'submit', 'focusin', 'focusout', 'load', 'unload', 'beforeunload', 'resize', 'move', 'DOMContentLoaded', 'readystatechange', 'error', 'abort', 'scroll']);\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n  return uid && `${uid}::${uidEvent++}` || element.uidEvent || uidEvent++;\n}\nfunction getElementEvents(element) {\n  const uid = makeEventUid(element);\n  element.uidEvent = uid;\n  eventRegistry[uid] = eventRegistry[uid] || {};\n  return eventRegistry[uid];\n}\nfunction bootstrapHandler(element, fn) {\n  return function handler(event) {\n    hydrateObj(event, {\n      delegateTarget: element\n    });\n    if (handler.oneOff) {\n      EventHandler.off(element, event.type, fn);\n    }\n    return fn.apply(element, [event]);\n  };\n}\nfunction bootstrapDelegationHandler(element, selector, fn) {\n  return function handler(event) {\n    const domElements = element.querySelectorAll(selector);\n    for (let {\n      target\n    } = event; target && target !== this; target = target.parentNode) {\n      for (const domElement of domElements) {\n        if (domElement !== target) {\n          continue;\n        }\n        hydrateObj(event, {\n          delegateTarget: target\n        });\n        if (handler.oneOff) {\n          EventHandler.off(element, event.type, selector, fn);\n        }\n        return fn.apply(target, [event]);\n      }\n    }\n  };\n}\nfunction findHandler(events, callable, delegationSelector = null) {\n  return Object.values(events).find(event => event.callable === callable && event.delegationSelector === delegationSelector);\n}\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n  const isDelegated = typeof handler === 'string';\n  // TODO: tooltip passes `false` instead of selector, so we need to check\n  const callable = isDelegated ? delegationFunction : handler || delegationFunction;\n  let typeEvent = getTypeEvent(originalTypeEvent);\n  if (!nativeEvents.has(typeEvent)) {\n    typeEvent = originalTypeEvent;\n  }\n  return [isDelegated, callable, typeEvent];\n}\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n  if (typeof originalTypeEvent !== 'string' || !element) {\n    return;\n  }\n  let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n\n  // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n  // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n  if (originalTypeEvent in customEvents) {\n    const wrapFunction = fn => {\n      return function (event) {\n        if (!event.relatedTarget || event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget)) {\n          return fn.call(this, event);\n        }\n      };\n    };\n    callable = wrapFunction(callable);\n  }\n  const events = getElementEvents(element);\n  const handlers = events[typeEvent] || (events[typeEvent] = {});\n  const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null);\n  if (previousFunction) {\n    previousFunction.oneOff = previousFunction.oneOff && oneOff;\n    return;\n  }\n  const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''));\n  const fn = isDelegated ? bootstrapDelegationHandler(element, handler, callable) : bootstrapHandler(element, callable);\n  fn.delegationSelector = isDelegated ? handler : null;\n  fn.callable = callable;\n  fn.oneOff = oneOff;\n  fn.uidEvent = uid;\n  handlers[uid] = fn;\n  element.addEventListener(typeEvent, fn, isDelegated);\n}\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n  const fn = findHandler(events[typeEvent], handler, delegationSelector);\n  if (!fn) {\n    return;\n  }\n  element.removeEventListener(typeEvent, fn, Boolean(delegationSelector));\n  delete events[typeEvent][fn.uidEvent];\n}\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n  const storeElementEvent = events[typeEvent] || {};\n  for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n    if (handlerKey.includes(namespace)) {\n      removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n    }\n  }\n}\nfunction getTypeEvent(event) {\n  // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n  event = event.replace(stripNameRegex, '');\n  return customEvents[event] || event;\n}\nconst EventHandler = {\n  on(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, false);\n  },\n  one(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, true);\n  },\n  off(element, originalTypeEvent, handler, delegationFunction) {\n    if (typeof originalTypeEvent !== 'string' || !element) {\n      return;\n    }\n    const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n    const inNamespace = typeEvent !== originalTypeEvent;\n    const events = getElementEvents(element);\n    const storeElementEvent = events[typeEvent] || {};\n    const isNamespace = originalTypeEvent.startsWith('.');\n    if (typeof callable !== 'undefined') {\n      // Simplest case: handler is passed, remove that listener ONLY.\n      if (!Object.keys(storeElementEvent).length) {\n        return;\n      }\n      removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null);\n      return;\n    }\n    if (isNamespace) {\n      for (const elementEvent of Object.keys(events)) {\n        removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1));\n      }\n    }\n    for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n      const handlerKey = keyHandlers.replace(stripUidRegex, '');\n      if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n        removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n      }\n    }\n  },\n  trigger(element, event, args) {\n    if (typeof event !== 'string' || !element) {\n      return null;\n    }\n    const $ = getjQuery();\n    const typeEvent = getTypeEvent(event);\n    const inNamespace = event !== typeEvent;\n    let jQueryEvent = null;\n    let bubbles = true;\n    let nativeDispatch = true;\n    let defaultPrevented = false;\n    if (inNamespace && $) {\n      jQueryEvent = $.Event(event, args);\n      $(element).trigger(jQueryEvent);\n      bubbles = !jQueryEvent.isPropagationStopped();\n      nativeDispatch = !jQueryEvent.isImmediatePropagationStopped();\n      defaultPrevented = jQueryEvent.isDefaultPrevented();\n    }\n    const evt = hydrateObj(new Event(event, {\n      bubbles,\n      cancelable: true\n    }), args);\n    if (defaultPrevented) {\n      evt.preventDefault();\n    }\n    if (nativeDispatch) {\n      element.dispatchEvent(evt);\n    }\n    if (evt.defaultPrevented && jQueryEvent) {\n      jQueryEvent.preventDefault();\n    }\n    return evt;\n  }\n};\nfunction hydrateObj(obj, meta = {}) {\n  for (const [key, value] of Object.entries(meta)) {\n    try {\n      obj[key] = value;\n    } catch (_unused) {\n      Object.defineProperty(obj, key, {\n        configurable: true,\n        get() {\n          return value;\n        }\n      });\n    }\n  }\n  return obj;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n  if (value === 'true') {\n    return true;\n  }\n  if (value === 'false') {\n    return false;\n  }\n  if (value === Number(value).toString()) {\n    return Number(value);\n  }\n  if (value === '' || value === 'null') {\n    return null;\n  }\n  if (typeof value !== 'string') {\n    return value;\n  }\n  try {\n    return JSON.parse(decodeURIComponent(value));\n  } catch (_unused) {\n    return value;\n  }\n}\nfunction normalizeDataKey(key) {\n  return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`);\n}\nconst Manipulator = {\n  setDataAttribute(element, key, value) {\n    element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value);\n  },\n  removeDataAttribute(element, key) {\n    element.removeAttribute(`data-bs-${normalizeDataKey(key)}`);\n  },\n  getDataAttributes(element) {\n    if (!element) {\n      return {};\n    }\n    const attributes = {};\n    const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'));\n    for (const key of bsKeys) {\n      let pureKey = key.replace(/^bs/, '');\n      pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length);\n      attributes[pureKey] = normalizeData(element.dataset[key]);\n    }\n    return attributes;\n  },\n  getDataAttribute(element, key) {\n    return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`));\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Class definition\n */\n\nclass Config {\n  // Getters\n  static get Default() {\n    return {};\n  }\n  static get DefaultType() {\n    return {};\n  }\n  static get NAME() {\n    throw new Error('You have to implement the static method \"NAME\", for each component!');\n  }\n  _getConfig(config) {\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n  _configAfterMerge(config) {\n    return config;\n  }\n  _mergeConfigObj(config, element) {\n    const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {}; // try to parse\n\n    return {\n      ...this.constructor.Default,\n      ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n      ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n      ...(typeof config === 'object' ? config : {})\n    };\n  }\n  _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n    for (const [property, expectedTypes] of Object.entries(configTypes)) {\n      const value = config[property];\n      const valueType = isElement(value) ? 'element' : toType(value);\n      if (!new RegExp(expectedTypes).test(valueType)) {\n        throw new TypeError(`${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`);\n      }\n    }\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.3';\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n  constructor(element, config) {\n    super();\n    element = getElement(element);\n    if (!element) {\n      return;\n    }\n    this._element = element;\n    this._config = this._getConfig(config);\n    Data.set(this._element, this.constructor.DATA_KEY, this);\n  }\n\n  // Public\n  dispose() {\n    Data.remove(this._element, this.constructor.DATA_KEY);\n    EventHandler.off(this._element, this.constructor.EVENT_KEY);\n    for (const propertyName of Object.getOwnPropertyNames(this)) {\n      this[propertyName] = null;\n    }\n  }\n  _queueCallback(callback, element, isAnimated = true) {\n    executeAfterTransition(callback, element, isAnimated);\n  }\n  _getConfig(config) {\n    config = this._mergeConfigObj(config, this._element);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n\n  // Static\n  static getInstance(element) {\n    return Data.get(getElement(element), this.DATA_KEY);\n  }\n  static getOrCreateInstance(element, config = {}) {\n    return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null);\n  }\n  static get VERSION() {\n    return VERSION;\n  }\n  static get DATA_KEY() {\n    return `bs.${this.NAME}`;\n  }\n  static get EVENT_KEY() {\n    return `.${this.DATA_KEY}`;\n  }\n  static eventName(name) {\n    return `${name}${this.EVENT_KEY}`;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst getSelector = element => {\n  let selector = element.getAttribute('data-bs-target');\n  if (!selector || selector === '#') {\n    let hrefAttribute = element.getAttribute('href');\n\n    // The only valid content that could double as a selector are IDs or classes,\n    // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n    // `document.querySelector` will rightfully complain it is invalid.\n    // See https://github.com/twbs/bootstrap/issues/32273\n    if (!hrefAttribute || !hrefAttribute.includes('#') && !hrefAttribute.startsWith('.')) {\n      return null;\n    }\n\n    // Just in case some CMS puts out a full URL with the anchor appended\n    if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n      hrefAttribute = `#${hrefAttribute.split('#')[1]}`;\n    }\n    selector = hrefAttribute && hrefAttribute !== '#' ? hrefAttribute.trim() : null;\n  }\n  return selector ? selector.split(',').map(sel => parseSelector(sel)).join(',') : null;\n};\nconst SelectorEngine = {\n  find(selector, element = document.documentElement) {\n    return [].concat(...Element.prototype.querySelectorAll.call(element, selector));\n  },\n  findOne(selector, element = document.documentElement) {\n    return Element.prototype.querySelector.call(element, selector);\n  },\n  children(element, selector) {\n    return [].concat(...element.children).filter(child => child.matches(selector));\n  },\n  parents(element, selector) {\n    const parents = [];\n    let ancestor = element.parentNode.closest(selector);\n    while (ancestor) {\n      parents.push(ancestor);\n      ancestor = ancestor.parentNode.closest(selector);\n    }\n    return parents;\n  },\n  prev(element, selector) {\n    let previous = element.previousElementSibling;\n    while (previous) {\n      if (previous.matches(selector)) {\n        return [previous];\n      }\n      previous = previous.previousElementSibling;\n    }\n    return [];\n  },\n  // TODO: this is now unused; remove later along with prev()\n  next(element, selector) {\n    let next = element.nextElementSibling;\n    while (next) {\n      if (next.matches(selector)) {\n        return [next];\n      }\n      next = next.nextElementSibling;\n    }\n    return [];\n  },\n  focusableChildren(element) {\n    const focusables = ['a', 'button', 'input', 'textarea', 'select', 'details', '[tabindex]', '[contenteditable=\"true\"]'].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',');\n    return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el));\n  },\n  getSelectorFromElement(element) {\n    const selector = getSelector(element);\n    if (selector) {\n      return SelectorEngine.findOne(selector) ? selector : null;\n    }\n    return null;\n  },\n  getElementFromSelector(element) {\n    const selector = getSelector(element);\n    return selector ? SelectorEngine.findOne(selector) : null;\n  },\n  getMultipleElementsFromSelector(element) {\n    const selector = getSelector(element);\n    return selector ? SelectorEngine.find(selector) : [];\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n  const clickEvent = `click.dismiss${component.EVENT_KEY}`;\n  const name = component.NAME;\n  EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n    if (['A', 'AREA'].includes(this.tagName)) {\n      event.preventDefault();\n    }\n    if (isDisabled(this)) {\n      return;\n    }\n    const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`);\n    const instance = component.getOrCreateInstance(target);\n\n    // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n    instance[method]();\n  });\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$f = 'alert';\nconst DATA_KEY$a = 'bs.alert';\nconst EVENT_KEY$b = `.${DATA_KEY$a}`;\nconst EVENT_CLOSE = `close${EVENT_KEY$b}`;\nconst EVENT_CLOSED = `closed${EVENT_KEY$b}`;\nconst CLASS_NAME_FADE$5 = 'fade';\nconst CLASS_NAME_SHOW$8 = 'show';\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$f;\n  }\n\n  // Public\n  close() {\n    const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE);\n    if (closeEvent.defaultPrevented) {\n      return;\n    }\n    this._element.classList.remove(CLASS_NAME_SHOW$8);\n    const isAnimated = this._element.classList.contains(CLASS_NAME_FADE$5);\n    this._queueCallback(() => this._destroyElement(), this._element, isAnimated);\n  }\n\n  // Private\n  _destroyElement() {\n    this._element.remove();\n    EventHandler.trigger(this._element, EVENT_CLOSED);\n    this.dispose();\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Alert.getOrCreateInstance(this);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](this);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close');\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$e = 'button';\nconst DATA_KEY$9 = 'bs.button';\nconst EVENT_KEY$a = `.${DATA_KEY$9}`;\nconst DATA_API_KEY$6 = '.data-api';\nconst CLASS_NAME_ACTIVE$3 = 'active';\nconst SELECTOR_DATA_TOGGLE$5 = '[data-bs-toggle=\"button\"]';\nconst EVENT_CLICK_DATA_API$6 = `click${EVENT_KEY$a}${DATA_API_KEY$6}`;\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$e;\n  }\n\n  // Public\n  toggle() {\n    // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n    this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE$3));\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Button.getOrCreateInstance(this);\n      if (config === 'toggle') {\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$6, SELECTOR_DATA_TOGGLE$5, event => {\n  event.preventDefault();\n  const button = event.target.closest(SELECTOR_DATA_TOGGLE$5);\n  const data = Button.getOrCreateInstance(button);\n  data.toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$d = 'swipe';\nconst EVENT_KEY$9 = '.bs.swipe';\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY$9}`;\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY$9}`;\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY$9}`;\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY$9}`;\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY$9}`;\nconst POINTER_TYPE_TOUCH = 'touch';\nconst POINTER_TYPE_PEN = 'pen';\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event';\nconst SWIPE_THRESHOLD = 40;\nconst Default$c = {\n  endCallback: null,\n  leftCallback: null,\n  rightCallback: null\n};\nconst DefaultType$c = {\n  endCallback: '(function|null)',\n  leftCallback: '(function|null)',\n  rightCallback: '(function|null)'\n};\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n  constructor(element, config) {\n    super();\n    this._element = element;\n    if (!element || !Swipe.isSupported()) {\n      return;\n    }\n    this._config = this._getConfig(config);\n    this._deltaX = 0;\n    this._supportPointerEvents = Boolean(window.PointerEvent);\n    this._initEvents();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$c;\n  }\n  static get DefaultType() {\n    return DefaultType$c;\n  }\n  static get NAME() {\n    return NAME$d;\n  }\n\n  // Public\n  dispose() {\n    EventHandler.off(this._element, EVENT_KEY$9);\n  }\n\n  // Private\n  _start(event) {\n    if (!this._supportPointerEvents) {\n      this._deltaX = event.touches[0].clientX;\n      return;\n    }\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX;\n    }\n  }\n  _end(event) {\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX - this._deltaX;\n    }\n    this._handleSwipe();\n    execute(this._config.endCallback);\n  }\n  _move(event) {\n    this._deltaX = event.touches && event.touches.length > 1 ? 0 : event.touches[0].clientX - this._deltaX;\n  }\n  _handleSwipe() {\n    const absDeltaX = Math.abs(this._deltaX);\n    if (absDeltaX <= SWIPE_THRESHOLD) {\n      return;\n    }\n    const direction = absDeltaX / this._deltaX;\n    this._deltaX = 0;\n    if (!direction) {\n      return;\n    }\n    execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback);\n  }\n  _initEvents() {\n    if (this._supportPointerEvents) {\n      EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event));\n      EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event));\n      this._element.classList.add(CLASS_NAME_POINTER_EVENT);\n    } else {\n      EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event));\n      EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event));\n      EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event));\n    }\n  }\n  _eventIsPointerPenTouch(event) {\n    return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH);\n  }\n\n  // Static\n  static isSupported() {\n    return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$c = 'carousel';\nconst DATA_KEY$8 = 'bs.carousel';\nconst EVENT_KEY$8 = `.${DATA_KEY$8}`;\nconst DATA_API_KEY$5 = '.data-api';\nconst ARROW_LEFT_KEY$1 = 'ArrowLeft';\nconst ARROW_RIGHT_KEY$1 = 'ArrowRight';\nconst TOUCHEVENT_COMPAT_WAIT = 500; // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next';\nconst ORDER_PREV = 'prev';\nconst DIRECTION_LEFT = 'left';\nconst DIRECTION_RIGHT = 'right';\nconst EVENT_SLIDE = `slide${EVENT_KEY$8}`;\nconst EVENT_SLID = `slid${EVENT_KEY$8}`;\nconst EVENT_KEYDOWN$1 = `keydown${EVENT_KEY$8}`;\nconst EVENT_MOUSEENTER$1 = `mouseenter${EVENT_KEY$8}`;\nconst EVENT_MOUSELEAVE$1 = `mouseleave${EVENT_KEY$8}`;\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY$8}`;\nconst EVENT_LOAD_DATA_API$3 = `load${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst EVENT_CLICK_DATA_API$5 = `click${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst CLASS_NAME_CAROUSEL = 'carousel';\nconst CLASS_NAME_ACTIVE$2 = 'active';\nconst CLASS_NAME_SLIDE = 'slide';\nconst CLASS_NAME_END = 'carousel-item-end';\nconst CLASS_NAME_START = 'carousel-item-start';\nconst CLASS_NAME_NEXT = 'carousel-item-next';\nconst CLASS_NAME_PREV = 'carousel-item-prev';\nconst SELECTOR_ACTIVE = '.active';\nconst SELECTOR_ITEM = '.carousel-item';\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM;\nconst SELECTOR_ITEM_IMG = '.carousel-item img';\nconst SELECTOR_INDICATORS = '.carousel-indicators';\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]';\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]';\nconst KEY_TO_DIRECTION = {\n  [ARROW_LEFT_KEY$1]: DIRECTION_RIGHT,\n  [ARROW_RIGHT_KEY$1]: DIRECTION_LEFT\n};\nconst Default$b = {\n  interval: 5000,\n  keyboard: true,\n  pause: 'hover',\n  ride: false,\n  touch: true,\n  wrap: true\n};\nconst DefaultType$b = {\n  interval: '(number|boolean)',\n  // TODO:v6 remove boolean support\n  keyboard: 'boolean',\n  pause: '(string|boolean)',\n  ride: '(boolean|string)',\n  touch: 'boolean',\n  wrap: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._interval = null;\n    this._activeElement = null;\n    this._isSliding = false;\n    this.touchTimeout = null;\n    this._swipeHelper = null;\n    this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element);\n    this._addEventListeners();\n    if (this._config.ride === CLASS_NAME_CAROUSEL) {\n      this.cycle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$b;\n  }\n  static get DefaultType() {\n    return DefaultType$b;\n  }\n  static get NAME() {\n    return NAME$c;\n  }\n\n  // Public\n  next() {\n    this._slide(ORDER_NEXT);\n  }\n  nextWhenVisible() {\n    // FIXME TODO use `document.visibilityState`\n    // Don't call next when the page isn't visible\n    // or the carousel or its parent isn't visible\n    if (!document.hidden && isVisible(this._element)) {\n      this.next();\n    }\n  }\n  prev() {\n    this._slide(ORDER_PREV);\n  }\n  pause() {\n    if (this._isSliding) {\n      triggerTransitionEnd(this._element);\n    }\n    this._clearInterval();\n  }\n  cycle() {\n    this._clearInterval();\n    this._updateInterval();\n    this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval);\n  }\n  _maybeEnableCycle() {\n    if (!this._config.ride) {\n      return;\n    }\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.cycle());\n      return;\n    }\n    this.cycle();\n  }\n  to(index) {\n    const items = this._getItems();\n    if (index > items.length - 1 || index < 0) {\n      return;\n    }\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.to(index));\n      return;\n    }\n    const activeIndex = this._getItemIndex(this._getActive());\n    if (activeIndex === index) {\n      return;\n    }\n    const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV;\n    this._slide(order, items[index]);\n  }\n  dispose() {\n    if (this._swipeHelper) {\n      this._swipeHelper.dispose();\n    }\n    super.dispose();\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.defaultInterval = config.interval;\n    return config;\n  }\n  _addEventListeners() {\n    if (this._config.keyboard) {\n      EventHandler.on(this._element, EVENT_KEYDOWN$1, event => this._keydown(event));\n    }\n    if (this._config.pause === 'hover') {\n      EventHandler.on(this._element, EVENT_MOUSEENTER$1, () => this.pause());\n      EventHandler.on(this._element, EVENT_MOUSELEAVE$1, () => this._maybeEnableCycle());\n    }\n    if (this._config.touch && Swipe.isSupported()) {\n      this._addTouchEventListeners();\n    }\n  }\n  _addTouchEventListeners() {\n    for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n      EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault());\n    }\n    const endCallBack = () => {\n      if (this._config.pause !== 'hover') {\n        return;\n      }\n\n      // If it's a touch-enabled device, mouseenter/leave are fired as\n      // part of the mouse compatibility events on first tap - the carousel\n      // would stop cycling until user tapped out of it;\n      // here, we listen for touchend, explicitly pause the carousel\n      // (as if it's the second time we tap on it, mouseenter compat event\n      // is NOT fired) and after a timeout (to allow for mouse compatibility\n      // events to fire) we explicitly restart cycling\n\n      this.pause();\n      if (this.touchTimeout) {\n        clearTimeout(this.touchTimeout);\n      }\n      this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval);\n    };\n    const swipeConfig = {\n      leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n      rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n      endCallback: endCallBack\n    };\n    this._swipeHelper = new Swipe(this._element, swipeConfig);\n  }\n  _keydown(event) {\n    if (/input|textarea/i.test(event.target.tagName)) {\n      return;\n    }\n    const direction = KEY_TO_DIRECTION[event.key];\n    if (direction) {\n      event.preventDefault();\n      this._slide(this._directionToOrder(direction));\n    }\n  }\n  _getItemIndex(element) {\n    return this._getItems().indexOf(element);\n  }\n  _setActiveIndicatorElement(index) {\n    if (!this._indicatorsElement) {\n      return;\n    }\n    const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement);\n    activeIndicator.classList.remove(CLASS_NAME_ACTIVE$2);\n    activeIndicator.removeAttribute('aria-current');\n    const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement);\n    if (newActiveIndicator) {\n      newActiveIndicator.classList.add(CLASS_NAME_ACTIVE$2);\n      newActiveIndicator.setAttribute('aria-current', 'true');\n    }\n  }\n  _updateInterval() {\n    const element = this._activeElement || this._getActive();\n    if (!element) {\n      return;\n    }\n    const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10);\n    this._config.interval = elementInterval || this._config.defaultInterval;\n  }\n  _slide(order, element = null) {\n    if (this._isSliding) {\n      return;\n    }\n    const activeElement = this._getActive();\n    const isNext = order === ORDER_NEXT;\n    const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap);\n    if (nextElement === activeElement) {\n      return;\n    }\n    const nextElementIndex = this._getItemIndex(nextElement);\n    const triggerEvent = eventName => {\n      return EventHandler.trigger(this._element, eventName, {\n        relatedTarget: nextElement,\n        direction: this._orderToDirection(order),\n        from: this._getItemIndex(activeElement),\n        to: nextElementIndex\n      });\n    };\n    const slideEvent = triggerEvent(EVENT_SLIDE);\n    if (slideEvent.defaultPrevented) {\n      return;\n    }\n    if (!activeElement || !nextElement) {\n      // Some weirdness is happening, so we bail\n      // TODO: change tests that use empty divs to avoid this check\n      return;\n    }\n    const isCycling = Boolean(this._interval);\n    this.pause();\n    this._isSliding = true;\n    this._setActiveIndicatorElement(nextElementIndex);\n    this._activeElement = nextElement;\n    const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END;\n    const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV;\n    nextElement.classList.add(orderClassName);\n    reflow(nextElement);\n    activeElement.classList.add(directionalClassName);\n    nextElement.classList.add(directionalClassName);\n    const completeCallBack = () => {\n      nextElement.classList.remove(directionalClassName, orderClassName);\n      nextElement.classList.add(CLASS_NAME_ACTIVE$2);\n      activeElement.classList.remove(CLASS_NAME_ACTIVE$2, orderClassName, directionalClassName);\n      this._isSliding = false;\n      triggerEvent(EVENT_SLID);\n    };\n    this._queueCallback(completeCallBack, activeElement, this._isAnimated());\n    if (isCycling) {\n      this.cycle();\n    }\n  }\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_SLIDE);\n  }\n  _getActive() {\n    return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element);\n  }\n  _getItems() {\n    return SelectorEngine.find(SELECTOR_ITEM, this._element);\n  }\n  _clearInterval() {\n    if (this._interval) {\n      clearInterval(this._interval);\n      this._interval = null;\n    }\n  }\n  _directionToOrder(direction) {\n    if (isRTL()) {\n      return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT;\n    }\n    return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV;\n  }\n  _orderToDirection(order) {\n    if (isRTL()) {\n      return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT;\n    }\n    return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Carousel.getOrCreateInstance(this, config);\n      if (typeof config === 'number') {\n        data.to(config);\n        return;\n      }\n      if (typeof config === 'string') {\n        if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$5, SELECTOR_DATA_SLIDE, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n    return;\n  }\n  event.preventDefault();\n  const carousel = Carousel.getOrCreateInstance(target);\n  const slideIndex = this.getAttribute('data-bs-slide-to');\n  if (slideIndex) {\n    carousel.to(slideIndex);\n    carousel._maybeEnableCycle();\n    return;\n  }\n  if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n    carousel.next();\n    carousel._maybeEnableCycle();\n    return;\n  }\n  carousel.prev();\n  carousel._maybeEnableCycle();\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$3, () => {\n  const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE);\n  for (const carousel of carousels) {\n    Carousel.getOrCreateInstance(carousel);\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$b = 'collapse';\nconst DATA_KEY$7 = 'bs.collapse';\nconst EVENT_KEY$7 = `.${DATA_KEY$7}`;\nconst DATA_API_KEY$4 = '.data-api';\nconst EVENT_SHOW$6 = `show${EVENT_KEY$7}`;\nconst EVENT_SHOWN$6 = `shown${EVENT_KEY$7}`;\nconst EVENT_HIDE$6 = `hide${EVENT_KEY$7}`;\nconst EVENT_HIDDEN$6 = `hidden${EVENT_KEY$7}`;\nconst EVENT_CLICK_DATA_API$4 = `click${EVENT_KEY$7}${DATA_API_KEY$4}`;\nconst CLASS_NAME_SHOW$7 = 'show';\nconst CLASS_NAME_COLLAPSE = 'collapse';\nconst CLASS_NAME_COLLAPSING = 'collapsing';\nconst CLASS_NAME_COLLAPSED = 'collapsed';\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`;\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal';\nconst WIDTH = 'width';\nconst HEIGHT = 'height';\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing';\nconst SELECTOR_DATA_TOGGLE$4 = '[data-bs-toggle=\"collapse\"]';\nconst Default$a = {\n  parent: null,\n  toggle: true\n};\nconst DefaultType$a = {\n  parent: '(null|element)',\n  toggle: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isTransitioning = false;\n    this._triggerArray = [];\n    const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE$4);\n    for (const elem of toggleList) {\n      const selector = SelectorEngine.getSelectorFromElement(elem);\n      const filterElement = SelectorEngine.find(selector).filter(foundElement => foundElement === this._element);\n      if (selector !== null && filterElement.length) {\n        this._triggerArray.push(elem);\n      }\n    }\n    this._initializeChildren();\n    if (!this._config.parent) {\n      this._addAriaAndCollapsedClass(this._triggerArray, this._isShown());\n    }\n    if (this._config.toggle) {\n      this.toggle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$a;\n  }\n  static get DefaultType() {\n    return DefaultType$a;\n  }\n  static get NAME() {\n    return NAME$b;\n  }\n\n  // Public\n  toggle() {\n    if (this._isShown()) {\n      this.hide();\n    } else {\n      this.show();\n    }\n  }\n  show() {\n    if (this._isTransitioning || this._isShown()) {\n      return;\n    }\n    let activeChildren = [];\n\n    // find active children\n    if (this._config.parent) {\n      activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES).filter(element => element !== this._element).map(element => Collapse.getOrCreateInstance(element, {\n        toggle: false\n      }));\n    }\n    if (activeChildren.length && activeChildren[0]._isTransitioning) {\n      return;\n    }\n    const startEvent = EventHandler.trigger(this._element, EVENT_SHOW$6);\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n    for (const activeInstance of activeChildren) {\n      activeInstance.hide();\n    }\n    const dimension = this._getDimension();\n    this._element.classList.remove(CLASS_NAME_COLLAPSE);\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n    this._element.style[dimension] = 0;\n    this._addAriaAndCollapsedClass(this._triggerArray, true);\n    this._isTransitioning = true;\n    const complete = () => {\n      this._isTransitioning = false;\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n      this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n      this._element.style[dimension] = '';\n      EventHandler.trigger(this._element, EVENT_SHOWN$6);\n    };\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1);\n    const scrollSize = `scroll${capitalizedDimension}`;\n    this._queueCallback(complete, this._element, true);\n    this._element.style[dimension] = `${this._element[scrollSize]}px`;\n  }\n  hide() {\n    if (this._isTransitioning || !this._isShown()) {\n      return;\n    }\n    const startEvent = EventHandler.trigger(this._element, EVENT_HIDE$6);\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n    const dimension = this._getDimension();\n    this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`;\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n    this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n    for (const trigger of this._triggerArray) {\n      const element = SelectorEngine.getElementFromSelector(trigger);\n      if (element && !this._isShown(element)) {\n        this._addAriaAndCollapsedClass([trigger], false);\n      }\n    }\n    this._isTransitioning = true;\n    const complete = () => {\n      this._isTransitioning = false;\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n      this._element.classList.add(CLASS_NAME_COLLAPSE);\n      EventHandler.trigger(this._element, EVENT_HIDDEN$6);\n    };\n    this._element.style[dimension] = '';\n    this._queueCallback(complete, this._element, true);\n  }\n  _isShown(element = this._element) {\n    return element.classList.contains(CLASS_NAME_SHOW$7);\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.toggle = Boolean(config.toggle); // Coerce string values\n    config.parent = getElement(config.parent);\n    return config;\n  }\n  _getDimension() {\n    return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT;\n  }\n  _initializeChildren() {\n    if (!this._config.parent) {\n      return;\n    }\n    const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE$4);\n    for (const element of children) {\n      const selected = SelectorEngine.getElementFromSelector(element);\n      if (selected) {\n        this._addAriaAndCollapsedClass([element], this._isShown(selected));\n      }\n    }\n  }\n  _getFirstLevelChildren(selector) {\n    const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent);\n    // remove children if greater depth\n    return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element));\n  }\n  _addAriaAndCollapsedClass(triggerArray, isOpen) {\n    if (!triggerArray.length) {\n      return;\n    }\n    for (const element of triggerArray) {\n      element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen);\n      element.setAttribute('aria-expanded', isOpen);\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    const _config = {};\n    if (typeof config === 'string' && /show|hide/.test(config)) {\n      _config.toggle = false;\n    }\n    return this.each(function () {\n      const data = Collapse.getOrCreateInstance(this, _config);\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$4, SELECTOR_DATA_TOGGLE$4, function (event) {\n  // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n  if (event.target.tagName === 'A' || event.delegateTarget && event.delegateTarget.tagName === 'A') {\n    event.preventDefault();\n  }\n  for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n    Collapse.getOrCreateInstance(element, {\n      toggle: false\n    }).toggle();\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$a = 'dropdown';\nconst DATA_KEY$6 = 'bs.dropdown';\nconst EVENT_KEY$6 = `.${DATA_KEY$6}`;\nconst DATA_API_KEY$3 = '.data-api';\nconst ESCAPE_KEY$2 = 'Escape';\nconst TAB_KEY$1 = 'Tab';\nconst ARROW_UP_KEY$1 = 'ArrowUp';\nconst ARROW_DOWN_KEY$1 = 'ArrowDown';\nconst RIGHT_MOUSE_BUTTON = 2; // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE$5 = `hide${EVENT_KEY$6}`;\nconst EVENT_HIDDEN$5 = `hidden${EVENT_KEY$6}`;\nconst EVENT_SHOW$5 = `show${EVENT_KEY$6}`;\nconst EVENT_SHOWN$5 = `shown${EVENT_KEY$6}`;\nconst EVENT_CLICK_DATA_API$3 = `click${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst CLASS_NAME_SHOW$6 = 'show';\nconst CLASS_NAME_DROPUP = 'dropup';\nconst CLASS_NAME_DROPEND = 'dropend';\nconst CLASS_NAME_DROPSTART = 'dropstart';\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center';\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center';\nconst SELECTOR_DATA_TOGGLE$3 = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)';\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE$3}.${CLASS_NAME_SHOW$6}`;\nconst SELECTOR_MENU = '.dropdown-menu';\nconst SELECTOR_NAVBAR = '.navbar';\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav';\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)';\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start';\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end';\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start';\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end';\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start';\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start';\nconst PLACEMENT_TOPCENTER = 'top';\nconst PLACEMENT_BOTTOMCENTER = 'bottom';\nconst Default$9 = {\n  autoClose: true,\n  boundary: 'clippingParents',\n  display: 'dynamic',\n  offset: [0, 2],\n  popperConfig: null,\n  reference: 'toggle'\n};\nconst DefaultType$9 = {\n  autoClose: '(boolean|string)',\n  boundary: '(string|element)',\n  display: 'string',\n  offset: '(array|string|function)',\n  popperConfig: '(null|object|function)',\n  reference: '(string|element|object)'\n};\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._popper = null;\n    this._parent = this._element.parentNode; // dropdown wrapper\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] || SelectorEngine.prev(this._element, SELECTOR_MENU)[0] || SelectorEngine.findOne(SELECTOR_MENU, this._parent);\n    this._inNavbar = this._detectNavbar();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$9;\n  }\n  static get DefaultType() {\n    return DefaultType$9;\n  }\n  static get NAME() {\n    return NAME$a;\n  }\n\n  // Public\n  toggle() {\n    return this._isShown() ? this.hide() : this.show();\n  }\n  show() {\n    if (isDisabled(this._element) || this._isShown()) {\n      return;\n    }\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$5, relatedTarget);\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._createPopper();\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n    this._element.focus();\n    this._element.setAttribute('aria-expanded', true);\n    this._menu.classList.add(CLASS_NAME_SHOW$6);\n    this._element.classList.add(CLASS_NAME_SHOW$6);\n    EventHandler.trigger(this._element, EVENT_SHOWN$5, relatedTarget);\n  }\n  hide() {\n    if (isDisabled(this._element) || !this._isShown()) {\n      return;\n    }\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    this._completeHide(relatedTarget);\n  }\n  dispose() {\n    if (this._popper) {\n      this._popper.destroy();\n    }\n    super.dispose();\n  }\n  update() {\n    this._inNavbar = this._detectNavbar();\n    if (this._popper) {\n      this._popper.update();\n    }\n  }\n\n  // Private\n  _completeHide(relatedTarget) {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$5, relatedTarget);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n    if (this._popper) {\n      this._popper.destroy();\n    }\n    this._menu.classList.remove(CLASS_NAME_SHOW$6);\n    this._element.classList.remove(CLASS_NAME_SHOW$6);\n    this._element.setAttribute('aria-expanded', 'false');\n    Manipulator.removeDataAttribute(this._menu, 'popper');\n    EventHandler.trigger(this._element, EVENT_HIDDEN$5, relatedTarget);\n  }\n  _getConfig(config) {\n    config = super._getConfig(config);\n    if (typeof config.reference === 'object' && !isElement(config.reference) && typeof config.reference.getBoundingClientRect !== 'function') {\n      // Popper virtual elements require a getBoundingClientRect method\n      throw new TypeError(`${NAME$a.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`);\n    }\n    return config;\n  }\n  _createPopper() {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)');\n    }\n    let referenceElement = this._element;\n    if (this._config.reference === 'parent') {\n      referenceElement = this._parent;\n    } else if (isElement(this._config.reference)) {\n      referenceElement = getElement(this._config.reference);\n    } else if (typeof this._config.reference === 'object') {\n      referenceElement = this._config.reference;\n    }\n    const popperConfig = this._getPopperConfig();\n    this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig);\n  }\n  _isShown() {\n    return this._menu.classList.contains(CLASS_NAME_SHOW$6);\n  }\n  _getPlacement() {\n    const parentDropdown = this._parent;\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n      return PLACEMENT_RIGHT;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n      return PLACEMENT_LEFT;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n      return PLACEMENT_TOPCENTER;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n      return PLACEMENT_BOTTOMCENTER;\n    }\n\n    // We need to trim the value because custom properties can also include spaces\n    const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end';\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n      return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP;\n    }\n    return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM;\n  }\n  _detectNavbar() {\n    return this._element.closest(SELECTOR_NAVBAR) !== null;\n  }\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n    return offset;\n  }\n  _getPopperConfig() {\n    const defaultBsPopperConfig = {\n      placement: this._getPlacement(),\n      modifiers: [{\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }]\n    };\n\n    // Disable Popper if we have a static display or Dropdown is in Navbar\n    if (this._inNavbar || this._config.display === 'static') {\n      Manipulator.setDataAttribute(this._menu, 'popper', 'static'); // TODO: v6 remove\n      defaultBsPopperConfig.modifiers = [{\n        name: 'applyStyles',\n        enabled: false\n      }];\n    }\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    };\n  }\n  _selectMenuItem({\n    key,\n    target\n  }) {\n    const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element));\n    if (!items.length) {\n      return;\n    }\n\n    // if target isn't included in items (e.g. when expanding the dropdown)\n    // allow cycling to get the last item in case key equals ARROW_UP_KEY\n    getNextActiveElement(items, target, key === ARROW_DOWN_KEY$1, !items.includes(target)).focus();\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Dropdown.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n  static clearMenus(event) {\n    if (event.button === RIGHT_MOUSE_BUTTON || event.type === 'keyup' && event.key !== TAB_KEY$1) {\n      return;\n    }\n    const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN);\n    for (const toggle of openToggles) {\n      const context = Dropdown.getInstance(toggle);\n      if (!context || context._config.autoClose === false) {\n        continue;\n      }\n      const composedPath = event.composedPath();\n      const isMenuTarget = composedPath.includes(context._menu);\n      if (composedPath.includes(context._element) || context._config.autoClose === 'inside' && !isMenuTarget || context._config.autoClose === 'outside' && isMenuTarget) {\n        continue;\n      }\n\n      // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n      if (context._menu.contains(event.target) && (event.type === 'keyup' && event.key === TAB_KEY$1 || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n        continue;\n      }\n      const relatedTarget = {\n        relatedTarget: context._element\n      };\n      if (event.type === 'click') {\n        relatedTarget.clickEvent = event;\n      }\n      context._completeHide(relatedTarget);\n    }\n  }\n  static dataApiKeydownHandler(event) {\n    // If not an UP | DOWN | ESCAPE key => not a dropdown command\n    // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n    const isInput = /input|textarea/i.test(event.target.tagName);\n    const isEscapeEvent = event.key === ESCAPE_KEY$2;\n    const isUpOrDownEvent = [ARROW_UP_KEY$1, ARROW_DOWN_KEY$1].includes(event.key);\n    if (!isUpOrDownEvent && !isEscapeEvent) {\n      return;\n    }\n    if (isInput && !isEscapeEvent) {\n      return;\n    }\n    event.preventDefault();\n\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE$3) ? this : SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.next(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.findOne(SELECTOR_DATA_TOGGLE$3, event.delegateTarget.parentNode);\n    const instance = Dropdown.getOrCreateInstance(getToggleButton);\n    if (isUpOrDownEvent) {\n      event.stopPropagation();\n      instance.show();\n      instance._selectMenuItem(event);\n      return;\n    }\n    if (instance._isShown()) {\n      // else is escape and we check if it is shown\n      event.stopPropagation();\n      instance.hide();\n      getToggleButton.focus();\n    }\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE$3, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, SELECTOR_DATA_TOGGLE$3, function (event) {\n  event.preventDefault();\n  Dropdown.getOrCreateInstance(this).toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$9 = 'backdrop';\nconst CLASS_NAME_FADE$4 = 'fade';\nconst CLASS_NAME_SHOW$5 = 'show';\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME$9}`;\nconst Default$8 = {\n  className: 'modal-backdrop',\n  clickCallback: null,\n  isAnimated: false,\n  isVisible: true,\n  // if false, we use the backdrop helper without adding any element to the dom\n  rootElement: 'body' // give the choice to place backdrop under different elements\n};\nconst DefaultType$8 = {\n  className: 'string',\n  clickCallback: '(function|null)',\n  isAnimated: 'boolean',\n  isVisible: 'boolean',\n  rootElement: '(element|string)'\n};\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isAppended = false;\n    this._element = null;\n  }\n\n  // Getters\n  static get Default() {\n    return Default$8;\n  }\n  static get DefaultType() {\n    return DefaultType$8;\n  }\n  static get NAME() {\n    return NAME$9;\n  }\n\n  // Public\n  show(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n    this._append();\n    const element = this._getElement();\n    if (this._config.isAnimated) {\n      reflow(element);\n    }\n    element.classList.add(CLASS_NAME_SHOW$5);\n    this._emulateAnimation(() => {\n      execute(callback);\n    });\n  }\n  hide(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n    this._getElement().classList.remove(CLASS_NAME_SHOW$5);\n    this._emulateAnimation(() => {\n      this.dispose();\n      execute(callback);\n    });\n  }\n  dispose() {\n    if (!this._isAppended) {\n      return;\n    }\n    EventHandler.off(this._element, EVENT_MOUSEDOWN);\n    this._element.remove();\n    this._isAppended = false;\n  }\n\n  // Private\n  _getElement() {\n    if (!this._element) {\n      const backdrop = document.createElement('div');\n      backdrop.className = this._config.className;\n      if (this._config.isAnimated) {\n        backdrop.classList.add(CLASS_NAME_FADE$4);\n      }\n      this._element = backdrop;\n    }\n    return this._element;\n  }\n  _configAfterMerge(config) {\n    // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n    config.rootElement = getElement(config.rootElement);\n    return config;\n  }\n  _append() {\n    if (this._isAppended) {\n      return;\n    }\n    const element = this._getElement();\n    this._config.rootElement.append(element);\n    EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n      execute(this._config.clickCallback);\n    });\n    this._isAppended = true;\n  }\n  _emulateAnimation(callback) {\n    executeAfterTransition(callback, this._getElement(), this._config.isAnimated);\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$8 = 'focustrap';\nconst DATA_KEY$5 = 'bs.focustrap';\nconst EVENT_KEY$5 = `.${DATA_KEY$5}`;\nconst EVENT_FOCUSIN$2 = `focusin${EVENT_KEY$5}`;\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY$5}`;\nconst TAB_KEY = 'Tab';\nconst TAB_NAV_FORWARD = 'forward';\nconst TAB_NAV_BACKWARD = 'backward';\nconst Default$7 = {\n  autofocus: true,\n  trapElement: null // The element to trap focus inside of\n};\nconst DefaultType$7 = {\n  autofocus: 'boolean',\n  trapElement: 'element'\n};\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isActive = false;\n    this._lastTabNavDirection = null;\n  }\n\n  // Getters\n  static get Default() {\n    return Default$7;\n  }\n  static get DefaultType() {\n    return DefaultType$7;\n  }\n  static get NAME() {\n    return NAME$8;\n  }\n\n  // Public\n  activate() {\n    if (this._isActive) {\n      return;\n    }\n    if (this._config.autofocus) {\n      this._config.trapElement.focus();\n    }\n    EventHandler.off(document, EVENT_KEY$5); // guard against infinite focus loop\n    EventHandler.on(document, EVENT_FOCUSIN$2, event => this._handleFocusin(event));\n    EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event));\n    this._isActive = true;\n  }\n  deactivate() {\n    if (!this._isActive) {\n      return;\n    }\n    this._isActive = false;\n    EventHandler.off(document, EVENT_KEY$5);\n  }\n\n  // Private\n  _handleFocusin(event) {\n    const {\n      trapElement\n    } = this._config;\n    if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n      return;\n    }\n    const elements = SelectorEngine.focusableChildren(trapElement);\n    if (elements.length === 0) {\n      trapElement.focus();\n    } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n      elements[elements.length - 1].focus();\n    } else {\n      elements[0].focus();\n    }\n  }\n  _handleKeydown(event) {\n    if (event.key !== TAB_KEY) {\n      return;\n    }\n    this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top';\nconst SELECTOR_STICKY_CONTENT = '.sticky-top';\nconst PROPERTY_PADDING = 'padding-right';\nconst PROPERTY_MARGIN = 'margin-right';\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n  constructor() {\n    this._element = document.body;\n  }\n\n  // Public\n  getWidth() {\n    // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n    const documentWidth = document.documentElement.clientWidth;\n    return Math.abs(window.innerWidth - documentWidth);\n  }\n  hide() {\n    const width = this.getWidth();\n    this._disableOverFlow();\n    // give padding to element to balance the hidden scrollbar width\n    this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n    // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n    this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n    this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width);\n  }\n  reset() {\n    this._resetElementAttributes(this._element, 'overflow');\n    this._resetElementAttributes(this._element, PROPERTY_PADDING);\n    this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING);\n    this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN);\n  }\n  isOverflowing() {\n    return this.getWidth() > 0;\n  }\n\n  // Private\n  _disableOverFlow() {\n    this._saveInitialAttribute(this._element, 'overflow');\n    this._element.style.overflow = 'hidden';\n  }\n  _setElementAttributes(selector, styleProperty, callback) {\n    const scrollbarWidth = this.getWidth();\n    const manipulationCallBack = element => {\n      if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n        return;\n      }\n      this._saveInitialAttribute(element, styleProperty);\n      const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty);\n      element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`);\n    };\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n  _saveInitialAttribute(element, styleProperty) {\n    const actualValue = element.style.getPropertyValue(styleProperty);\n    if (actualValue) {\n      Manipulator.setDataAttribute(element, styleProperty, actualValue);\n    }\n  }\n  _resetElementAttributes(selector, styleProperty) {\n    const manipulationCallBack = element => {\n      const value = Manipulator.getDataAttribute(element, styleProperty);\n      // We only want to remove the property if the value is `null`; the value can also be zero\n      if (value === null) {\n        element.style.removeProperty(styleProperty);\n        return;\n      }\n      Manipulator.removeDataAttribute(element, styleProperty);\n      element.style.setProperty(styleProperty, value);\n    };\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n  _applyManipulationCallback(selector, callBack) {\n    if (isElement(selector)) {\n      callBack(selector);\n      return;\n    }\n    for (const sel of SelectorEngine.find(selector, this._element)) {\n      callBack(sel);\n    }\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$7 = 'modal';\nconst DATA_KEY$4 = 'bs.modal';\nconst EVENT_KEY$4 = `.${DATA_KEY$4}`;\nconst DATA_API_KEY$2 = '.data-api';\nconst ESCAPE_KEY$1 = 'Escape';\nconst EVENT_HIDE$4 = `hide${EVENT_KEY$4}`;\nconst EVENT_HIDE_PREVENTED$1 = `hidePrevented${EVENT_KEY$4}`;\nconst EVENT_HIDDEN$4 = `hidden${EVENT_KEY$4}`;\nconst EVENT_SHOW$4 = `show${EVENT_KEY$4}`;\nconst EVENT_SHOWN$4 = `shown${EVENT_KEY$4}`;\nconst EVENT_RESIZE$1 = `resize${EVENT_KEY$4}`;\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY$4}`;\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY$4}`;\nconst EVENT_KEYDOWN_DISMISS$1 = `keydown.dismiss${EVENT_KEY$4}`;\nconst EVENT_CLICK_DATA_API$2 = `click${EVENT_KEY$4}${DATA_API_KEY$2}`;\nconst CLASS_NAME_OPEN = 'modal-open';\nconst CLASS_NAME_FADE$3 = 'fade';\nconst CLASS_NAME_SHOW$4 = 'show';\nconst CLASS_NAME_STATIC = 'modal-static';\nconst OPEN_SELECTOR$1 = '.modal.show';\nconst SELECTOR_DIALOG = '.modal-dialog';\nconst SELECTOR_MODAL_BODY = '.modal-body';\nconst SELECTOR_DATA_TOGGLE$2 = '[data-bs-toggle=\"modal\"]';\nconst Default$6 = {\n  backdrop: true,\n  focus: true,\n  keyboard: true\n};\nconst DefaultType$6 = {\n  backdrop: '(boolean|string)',\n  focus: 'boolean',\n  keyboard: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element);\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._isShown = false;\n    this._isTransitioning = false;\n    this._scrollBar = new ScrollBarHelper();\n    this._addEventListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$6;\n  }\n  static get DefaultType() {\n    return DefaultType$6;\n  }\n  static get NAME() {\n    return NAME$7;\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n  show(relatedTarget) {\n    if (this._isShown || this._isTransitioning) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$4, {\n      relatedTarget\n    });\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = true;\n    this._isTransitioning = true;\n    this._scrollBar.hide();\n    document.body.classList.add(CLASS_NAME_OPEN);\n    this._adjustDialog();\n    this._backdrop.show(() => this._showElement(relatedTarget));\n  }\n  hide() {\n    if (!this._isShown || this._isTransitioning) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$4);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = false;\n    this._isTransitioning = true;\n    this._focustrap.deactivate();\n    this._element.classList.remove(CLASS_NAME_SHOW$4);\n    this._queueCallback(() => this._hideModal(), this._element, this._isAnimated());\n  }\n  dispose() {\n    EventHandler.off(window, EVENT_KEY$4);\n    EventHandler.off(this._dialog, EVENT_KEY$4);\n    this._backdrop.dispose();\n    this._focustrap.deactivate();\n    super.dispose();\n  }\n  handleUpdate() {\n    this._adjustDialog();\n  }\n\n  // Private\n  _initializeBackDrop() {\n    return new Backdrop({\n      isVisible: Boolean(this._config.backdrop),\n      // 'static' option will be translated to true, and booleans will keep their value,\n      isAnimated: this._isAnimated()\n    });\n  }\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n  _showElement(relatedTarget) {\n    // try to append dynamic modal\n    if (!document.body.contains(this._element)) {\n      document.body.append(this._element);\n    }\n    this._element.style.display = 'block';\n    this._element.removeAttribute('aria-hidden');\n    this._element.setAttribute('aria-modal', true);\n    this._element.setAttribute('role', 'dialog');\n    this._element.scrollTop = 0;\n    const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog);\n    if (modalBody) {\n      modalBody.scrollTop = 0;\n    }\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_SHOW$4);\n    const transitionComplete = () => {\n      if (this._config.focus) {\n        this._focustrap.activate();\n      }\n      this._isTransitioning = false;\n      EventHandler.trigger(this._element, EVENT_SHOWN$4, {\n        relatedTarget\n      });\n    };\n    this._queueCallback(transitionComplete, this._dialog, this._isAnimated());\n  }\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS$1, event => {\n      if (event.key !== ESCAPE_KEY$1) {\n        return;\n      }\n      if (this._config.keyboard) {\n        this.hide();\n        return;\n      }\n      this._triggerBackdropTransition();\n    });\n    EventHandler.on(window, EVENT_RESIZE$1, () => {\n      if (this._isShown && !this._isTransitioning) {\n        this._adjustDialog();\n      }\n    });\n    EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n      // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n      EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n        if (this._element !== event.target || this._element !== event2.target) {\n          return;\n        }\n        if (this._config.backdrop === 'static') {\n          this._triggerBackdropTransition();\n          return;\n        }\n        if (this._config.backdrop) {\n          this.hide();\n        }\n      });\n    });\n  }\n  _hideModal() {\n    this._element.style.display = 'none';\n    this._element.setAttribute('aria-hidden', true);\n    this._element.removeAttribute('aria-modal');\n    this._element.removeAttribute('role');\n    this._isTransitioning = false;\n    this._backdrop.hide(() => {\n      document.body.classList.remove(CLASS_NAME_OPEN);\n      this._resetAdjustments();\n      this._scrollBar.reset();\n      EventHandler.trigger(this._element, EVENT_HIDDEN$4);\n    });\n  }\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_FADE$3);\n  }\n  _triggerBackdropTransition() {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED$1);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const initialOverflowY = this._element.style.overflowY;\n    // return if the following background transition hasn't yet completed\n    if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n      return;\n    }\n    if (!isModalOverflowing) {\n      this._element.style.overflowY = 'hidden';\n    }\n    this._element.classList.add(CLASS_NAME_STATIC);\n    this._queueCallback(() => {\n      this._element.classList.remove(CLASS_NAME_STATIC);\n      this._queueCallback(() => {\n        this._element.style.overflowY = initialOverflowY;\n      }, this._dialog);\n    }, this._dialog);\n    this._element.focus();\n  }\n\n  /**\n   * The following methods are used to handle overflowing modals\n   */\n\n  _adjustDialog() {\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const scrollbarWidth = this._scrollBar.getWidth();\n    const isBodyOverflowing = scrollbarWidth > 0;\n    if (isBodyOverflowing && !isModalOverflowing) {\n      const property = isRTL() ? 'paddingLeft' : 'paddingRight';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n    if (!isBodyOverflowing && isModalOverflowing) {\n      const property = isRTL() ? 'paddingRight' : 'paddingLeft';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n  }\n  _resetAdjustments() {\n    this._element.style.paddingLeft = '';\n    this._element.style.paddingRight = '';\n  }\n\n  // Static\n  static jQueryInterface(config, relatedTarget) {\n    return this.each(function () {\n      const data = Modal.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](relatedTarget);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$2, SELECTOR_DATA_TOGGLE$2, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  EventHandler.one(target, EVENT_SHOW$4, showEvent => {\n    if (showEvent.defaultPrevented) {\n      // only register focus restorer if modal will actually get shown\n      return;\n    }\n    EventHandler.one(target, EVENT_HIDDEN$4, () => {\n      if (isVisible(this)) {\n        this.focus();\n      }\n    });\n  });\n\n  // avoid conflict when clicking modal toggler while another one is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR$1);\n  if (alreadyOpen) {\n    Modal.getInstance(alreadyOpen).hide();\n  }\n  const data = Modal.getOrCreateInstance(target);\n  data.toggle(this);\n});\nenableDismissTrigger(Modal);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$6 = 'offcanvas';\nconst DATA_KEY$3 = 'bs.offcanvas';\nconst EVENT_KEY$3 = `.${DATA_KEY$3}`;\nconst DATA_API_KEY$1 = '.data-api';\nconst EVENT_LOAD_DATA_API$2 = `load${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst ESCAPE_KEY = 'Escape';\nconst CLASS_NAME_SHOW$3 = 'show';\nconst CLASS_NAME_SHOWING$1 = 'showing';\nconst CLASS_NAME_HIDING = 'hiding';\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop';\nconst OPEN_SELECTOR = '.offcanvas.show';\nconst EVENT_SHOW$3 = `show${EVENT_KEY$3}`;\nconst EVENT_SHOWN$3 = `shown${EVENT_KEY$3}`;\nconst EVENT_HIDE$3 = `hide${EVENT_KEY$3}`;\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY$3}`;\nconst EVENT_HIDDEN$3 = `hidden${EVENT_KEY$3}`;\nconst EVENT_RESIZE = `resize${EVENT_KEY$3}`;\nconst EVENT_CLICK_DATA_API$1 = `click${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY$3}`;\nconst SELECTOR_DATA_TOGGLE$1 = '[data-bs-toggle=\"offcanvas\"]';\nconst Default$5 = {\n  backdrop: true,\n  keyboard: true,\n  scroll: false\n};\nconst DefaultType$5 = {\n  backdrop: '(boolean|string)',\n  keyboard: 'boolean',\n  scroll: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isShown = false;\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._addEventListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$5;\n  }\n  static get DefaultType() {\n    return DefaultType$5;\n  }\n  static get NAME() {\n    return NAME$6;\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n  show(relatedTarget) {\n    if (this._isShown) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$3, {\n      relatedTarget\n    });\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = true;\n    this._backdrop.show();\n    if (!this._config.scroll) {\n      new ScrollBarHelper().hide();\n    }\n    this._element.setAttribute('aria-modal', true);\n    this._element.setAttribute('role', 'dialog');\n    this._element.classList.add(CLASS_NAME_SHOWING$1);\n    const completeCallBack = () => {\n      if (!this._config.scroll || this._config.backdrop) {\n        this._focustrap.activate();\n      }\n      this._element.classList.add(CLASS_NAME_SHOW$3);\n      this._element.classList.remove(CLASS_NAME_SHOWING$1);\n      EventHandler.trigger(this._element, EVENT_SHOWN$3, {\n        relatedTarget\n      });\n    };\n    this._queueCallback(completeCallBack, this._element, true);\n  }\n  hide() {\n    if (!this._isShown) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$3);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    this._focustrap.deactivate();\n    this._element.blur();\n    this._isShown = false;\n    this._element.classList.add(CLASS_NAME_HIDING);\n    this._backdrop.hide();\n    const completeCallback = () => {\n      this._element.classList.remove(CLASS_NAME_SHOW$3, CLASS_NAME_HIDING);\n      this._element.removeAttribute('aria-modal');\n      this._element.removeAttribute('role');\n      if (!this._config.scroll) {\n        new ScrollBarHelper().reset();\n      }\n      EventHandler.trigger(this._element, EVENT_HIDDEN$3);\n    };\n    this._queueCallback(completeCallback, this._element, true);\n  }\n  dispose() {\n    this._backdrop.dispose();\n    this._focustrap.deactivate();\n    super.dispose();\n  }\n\n  // Private\n  _initializeBackDrop() {\n    const clickCallback = () => {\n      if (this._config.backdrop === 'static') {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n        return;\n      }\n      this.hide();\n    };\n\n    // 'static' option will be translated to true, and booleans will keep their value\n    const isVisible = Boolean(this._config.backdrop);\n    return new Backdrop({\n      className: CLASS_NAME_BACKDROP,\n      isVisible,\n      isAnimated: true,\n      rootElement: this._element.parentNode,\n      clickCallback: isVisible ? clickCallback : null\n    });\n  }\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return;\n      }\n      if (this._config.keyboard) {\n        this.hide();\n        return;\n      }\n      EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n    });\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Offcanvas.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](this);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$1, SELECTOR_DATA_TOGGLE$1, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  if (isDisabled(this)) {\n    return;\n  }\n  EventHandler.one(target, EVENT_HIDDEN$3, () => {\n    // focus on trigger when it is closed\n    if (isVisible(this)) {\n      this.focus();\n    }\n  });\n\n  // avoid conflict when clicking a toggler of an offcanvas, while another is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR);\n  if (alreadyOpen && alreadyOpen !== target) {\n    Offcanvas.getInstance(alreadyOpen).hide();\n  }\n  const data = Offcanvas.getOrCreateInstance(target);\n  data.toggle(this);\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$2, () => {\n  for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n    Offcanvas.getOrCreateInstance(selector).show();\n  }\n});\nEventHandler.on(window, EVENT_RESIZE, () => {\n  for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n    if (getComputedStyle(element).position !== 'fixed') {\n      Offcanvas.getOrCreateInstance(element).hide();\n    }\n  }\n});\nenableDismissTrigger(Offcanvas);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i;\nconst DefaultAllowlist = {\n  // Global attributes allowed on any supplied element below.\n  '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n  a: ['target', 'href', 'title', 'rel'],\n  area: [],\n  b: [],\n  br: [],\n  col: [],\n  code: [],\n  dd: [],\n  div: [],\n  dl: [],\n  dt: [],\n  em: [],\n  hr: [],\n  h1: [],\n  h2: [],\n  h3: [],\n  h4: [],\n  h5: [],\n  h6: [],\n  i: [],\n  img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n  li: [],\n  ol: [],\n  p: [],\n  pre: [],\n  s: [],\n  small: [],\n  span: [],\n  sub: [],\n  sup: [],\n  strong: [],\n  u: [],\n  ul: []\n};\n// js-docs-end allow-list\n\nconst uriAttributes = new Set(['background', 'cite', 'href', 'itemtype', 'longdesc', 'poster', 'src', 'xlink:href']);\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i;\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n  const attributeName = attribute.nodeName.toLowerCase();\n  if (allowedAttributeList.includes(attributeName)) {\n    if (uriAttributes.has(attributeName)) {\n      return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue));\n    }\n    return true;\n  }\n\n  // Check if a regular expression validates the attribute.\n  return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp).some(regex => regex.test(attributeName));\n};\nfunction sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n  if (!unsafeHtml.length) {\n    return unsafeHtml;\n  }\n  if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n    return sanitizeFunction(unsafeHtml);\n  }\n  const domParser = new window.DOMParser();\n  const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html');\n  const elements = [].concat(...createdDocument.body.querySelectorAll('*'));\n  for (const element of elements) {\n    const elementName = element.nodeName.toLowerCase();\n    if (!Object.keys(allowList).includes(elementName)) {\n      element.remove();\n      continue;\n    }\n    const attributeList = [].concat(...element.attributes);\n    const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || []);\n    for (const attribute of attributeList) {\n      if (!allowedAttribute(attribute, allowedAttributes)) {\n        element.removeAttribute(attribute.nodeName);\n      }\n    }\n  }\n  return createdDocument.body.innerHTML;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$5 = 'TemplateFactory';\nconst Default$4 = {\n  allowList: DefaultAllowlist,\n  content: {},\n  // { selector : text ,  selector2 : text2 , }\n  extraClass: '',\n  html: false,\n  sanitize: true,\n  sanitizeFn: null,\n  template: '<div></div>'\n};\nconst DefaultType$4 = {\n  allowList: 'object',\n  content: 'object',\n  extraClass: '(string|function)',\n  html: 'boolean',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  template: 'string'\n};\nconst DefaultContentType = {\n  entry: '(string|element|function|null)',\n  selector: '(string|element)'\n};\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n  }\n\n  // Getters\n  static get Default() {\n    return Default$4;\n  }\n  static get DefaultType() {\n    return DefaultType$4;\n  }\n  static get NAME() {\n    return NAME$5;\n  }\n\n  // Public\n  getContent() {\n    return Object.values(this._config.content).map(config => this._resolvePossibleFunction(config)).filter(Boolean);\n  }\n  hasContent() {\n    return this.getContent().length > 0;\n  }\n  changeContent(content) {\n    this._checkContent(content);\n    this._config.content = {\n      ...this._config.content,\n      ...content\n    };\n    return this;\n  }\n  toHtml() {\n    const templateWrapper = document.createElement('div');\n    templateWrapper.innerHTML = this._maybeSanitize(this._config.template);\n    for (const [selector, text] of Object.entries(this._config.content)) {\n      this._setContent(templateWrapper, text, selector);\n    }\n    const template = templateWrapper.children[0];\n    const extraClass = this._resolvePossibleFunction(this._config.extraClass);\n    if (extraClass) {\n      template.classList.add(...extraClass.split(' '));\n    }\n    return template;\n  }\n\n  // Private\n  _typeCheckConfig(config) {\n    super._typeCheckConfig(config);\n    this._checkContent(config.content);\n  }\n  _checkContent(arg) {\n    for (const [selector, content] of Object.entries(arg)) {\n      super._typeCheckConfig({\n        selector,\n        entry: content\n      }, DefaultContentType);\n    }\n  }\n  _setContent(template, content, selector) {\n    const templateElement = SelectorEngine.findOne(selector, template);\n    if (!templateElement) {\n      return;\n    }\n    content = this._resolvePossibleFunction(content);\n    if (!content) {\n      templateElement.remove();\n      return;\n    }\n    if (isElement(content)) {\n      this._putElementInTemplate(getElement(content), templateElement);\n      return;\n    }\n    if (this._config.html) {\n      templateElement.innerHTML = this._maybeSanitize(content);\n      return;\n    }\n    templateElement.textContent = content;\n  }\n  _maybeSanitize(arg) {\n    return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg;\n  }\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this]);\n  }\n  _putElementInTemplate(element, templateElement) {\n    if (this._config.html) {\n      templateElement.innerHTML = '';\n      templateElement.append(element);\n      return;\n    }\n    templateElement.textContent = element.textContent;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$4 = 'tooltip';\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn']);\nconst CLASS_NAME_FADE$2 = 'fade';\nconst CLASS_NAME_MODAL = 'modal';\nconst CLASS_NAME_SHOW$2 = 'show';\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner';\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`;\nconst EVENT_MODAL_HIDE = 'hide.bs.modal';\nconst TRIGGER_HOVER = 'hover';\nconst TRIGGER_FOCUS = 'focus';\nconst TRIGGER_CLICK = 'click';\nconst TRIGGER_MANUAL = 'manual';\nconst EVENT_HIDE$2 = 'hide';\nconst EVENT_HIDDEN$2 = 'hidden';\nconst EVENT_SHOW$2 = 'show';\nconst EVENT_SHOWN$2 = 'shown';\nconst EVENT_INSERTED = 'inserted';\nconst EVENT_CLICK$1 = 'click';\nconst EVENT_FOCUSIN$1 = 'focusin';\nconst EVENT_FOCUSOUT$1 = 'focusout';\nconst EVENT_MOUSEENTER = 'mouseenter';\nconst EVENT_MOUSELEAVE = 'mouseleave';\nconst AttachmentMap = {\n  AUTO: 'auto',\n  TOP: 'top',\n  RIGHT: isRTL() ? 'left' : 'right',\n  BOTTOM: 'bottom',\n  LEFT: isRTL() ? 'right' : 'left'\n};\nconst Default$3 = {\n  allowList: DefaultAllowlist,\n  animation: true,\n  boundary: 'clippingParents',\n  container: false,\n  customClass: '',\n  delay: 0,\n  fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n  html: false,\n  offset: [0, 6],\n  placement: 'top',\n  popperConfig: null,\n  sanitize: true,\n  sanitizeFn: null,\n  selector: false,\n  template: '<div class=\"tooltip\" role=\"tooltip\">' + '<div class=\"tooltip-arrow\"></div>' + '<div class=\"tooltip-inner\"></div>' + '</div>',\n  title: '',\n  trigger: 'hover focus'\n};\nconst DefaultType$3 = {\n  allowList: 'object',\n  animation: 'boolean',\n  boundary: '(string|element)',\n  container: '(string|element|boolean)',\n  customClass: '(string|function)',\n  delay: '(number|object)',\n  fallbackPlacements: 'array',\n  html: 'boolean',\n  offset: '(array|string|function)',\n  placement: '(string|function)',\n  popperConfig: '(null|object|function)',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  selector: '(string|boolean)',\n  template: 'string',\n  title: '(string|element|function)',\n  trigger: 'string'\n};\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n  constructor(element, config) {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)');\n    }\n    super(element, config);\n\n    // Private\n    this._isEnabled = true;\n    this._timeout = 0;\n    this._isHovered = null;\n    this._activeTrigger = {};\n    this._popper = null;\n    this._templateFactory = null;\n    this._newContent = null;\n\n    // Protected\n    this.tip = null;\n    this._setListeners();\n    if (!this._config.selector) {\n      this._fixTitle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$3;\n  }\n  static get DefaultType() {\n    return DefaultType$3;\n  }\n  static get NAME() {\n    return NAME$4;\n  }\n\n  // Public\n  enable() {\n    this._isEnabled = true;\n  }\n  disable() {\n    this._isEnabled = false;\n  }\n  toggleEnabled() {\n    this._isEnabled = !this._isEnabled;\n  }\n  toggle() {\n    if (!this._isEnabled) {\n      return;\n    }\n    this._activeTrigger.click = !this._activeTrigger.click;\n    if (this._isShown()) {\n      this._leave();\n      return;\n    }\n    this._enter();\n  }\n  dispose() {\n    clearTimeout(this._timeout);\n    EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n    if (this._element.getAttribute('data-bs-original-title')) {\n      this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'));\n    }\n    this._disposePopper();\n    super.dispose();\n  }\n  show() {\n    if (this._element.style.display === 'none') {\n      throw new Error('Please use show on visible elements');\n    }\n    if (!(this._isWithContent() && this._isEnabled)) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW$2));\n    const shadowRoot = findShadowRoot(this._element);\n    const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element);\n    if (showEvent.defaultPrevented || !isInTheDom) {\n      return;\n    }\n\n    // TODO: v6 remove this or make it optional\n    this._disposePopper();\n    const tip = this._getTipElement();\n    this._element.setAttribute('aria-describedby', tip.getAttribute('id'));\n    const {\n      container\n    } = this._config;\n    if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n      container.append(tip);\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED));\n    }\n    this._popper = this._createPopper(tip);\n    tip.classList.add(CLASS_NAME_SHOW$2);\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n    const complete = () => {\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN$2));\n      if (this._isHovered === false) {\n        this._leave();\n      }\n      this._isHovered = false;\n    };\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n  hide() {\n    if (!this._isShown()) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE$2));\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const tip = this._getTipElement();\n    tip.classList.remove(CLASS_NAME_SHOW$2);\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n    this._activeTrigger[TRIGGER_CLICK] = false;\n    this._activeTrigger[TRIGGER_FOCUS] = false;\n    this._activeTrigger[TRIGGER_HOVER] = false;\n    this._isHovered = null; // it is a trick to support manual triggering\n\n    const complete = () => {\n      if (this._isWithActiveTrigger()) {\n        return;\n      }\n      if (!this._isHovered) {\n        this._disposePopper();\n      }\n      this._element.removeAttribute('aria-describedby');\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN$2));\n    };\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n  update() {\n    if (this._popper) {\n      this._popper.update();\n    }\n  }\n\n  // Protected\n  _isWithContent() {\n    return Boolean(this._getTitle());\n  }\n  _getTipElement() {\n    if (!this.tip) {\n      this.tip = this._createTipElement(this._newContent || this._getContentForTemplate());\n    }\n    return this.tip;\n  }\n  _createTipElement(content) {\n    const tip = this._getTemplateFactory(content).toHtml();\n\n    // TODO: remove this check in v6\n    if (!tip) {\n      return null;\n    }\n    tip.classList.remove(CLASS_NAME_FADE$2, CLASS_NAME_SHOW$2);\n    // TODO: v6 the following can be achieved with CSS only\n    tip.classList.add(`bs-${this.constructor.NAME}-auto`);\n    const tipId = getUID(this.constructor.NAME).toString();\n    tip.setAttribute('id', tipId);\n    if (this._isAnimated()) {\n      tip.classList.add(CLASS_NAME_FADE$2);\n    }\n    return tip;\n  }\n  setContent(content) {\n    this._newContent = content;\n    if (this._isShown()) {\n      this._disposePopper();\n      this.show();\n    }\n  }\n  _getTemplateFactory(content) {\n    if (this._templateFactory) {\n      this._templateFactory.changeContent(content);\n    } else {\n      this._templateFactory = new TemplateFactory({\n        ...this._config,\n        // the `content` var has to be after `this._config`\n        // to override config.content in case of popover\n        content,\n        extraClass: this._resolvePossibleFunction(this._config.customClass)\n      });\n    }\n    return this._templateFactory;\n  }\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n    };\n  }\n  _getTitle() {\n    return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title');\n  }\n\n  // Private\n  _initializeOnDelegatedTarget(event) {\n    return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig());\n  }\n  _isAnimated() {\n    return this._config.animation || this.tip && this.tip.classList.contains(CLASS_NAME_FADE$2);\n  }\n  _isShown() {\n    return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW$2);\n  }\n  _createPopper(tip) {\n    const placement = execute(this._config.placement, [this, tip, this._element]);\n    const attachment = AttachmentMap[placement.toUpperCase()];\n    return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment));\n  }\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n    return offset;\n  }\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this._element]);\n  }\n  _getPopperConfig(attachment) {\n    const defaultBsPopperConfig = {\n      placement: attachment,\n      modifiers: [{\n        name: 'flip',\n        options: {\n          fallbackPlacements: this._config.fallbackPlacements\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }, {\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'arrow',\n        options: {\n          element: `.${this.constructor.NAME}-arrow`\n        }\n      }, {\n        name: 'preSetPlacement',\n        enabled: true,\n        phase: 'beforeMain',\n        fn: data => {\n          // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n          // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n          this._getTipElement().setAttribute('data-popper-placement', data.state.placement);\n        }\n      }]\n    };\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    };\n  }\n  _setListeners() {\n    const triggers = this._config.trigger.split(' ');\n    for (const trigger of triggers) {\n      if (trigger === 'click') {\n        EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK$1), this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context.toggle();\n        });\n      } else if (trigger !== TRIGGER_MANUAL) {\n        const eventIn = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSEENTER) : this.constructor.eventName(EVENT_FOCUSIN$1);\n        const eventOut = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSELEAVE) : this.constructor.eventName(EVENT_FOCUSOUT$1);\n        EventHandler.on(this._element, eventIn, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true;\n          context._enter();\n        });\n        EventHandler.on(this._element, eventOut, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] = context._element.contains(event.relatedTarget);\n          context._leave();\n        });\n      }\n    }\n    this._hideModalHandler = () => {\n      if (this._element) {\n        this.hide();\n      }\n    };\n    EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n  }\n  _fixTitle() {\n    const title = this._element.getAttribute('title');\n    if (!title) {\n      return;\n    }\n    if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n      this._element.setAttribute('aria-label', title);\n    }\n    this._element.setAttribute('data-bs-original-title', title); // DO NOT USE IT. Is only for backwards compatibility\n    this._element.removeAttribute('title');\n  }\n  _enter() {\n    if (this._isShown() || this._isHovered) {\n      this._isHovered = true;\n      return;\n    }\n    this._isHovered = true;\n    this._setTimeout(() => {\n      if (this._isHovered) {\n        this.show();\n      }\n    }, this._config.delay.show);\n  }\n  _leave() {\n    if (this._isWithActiveTrigger()) {\n      return;\n    }\n    this._isHovered = false;\n    this._setTimeout(() => {\n      if (!this._isHovered) {\n        this.hide();\n      }\n    }, this._config.delay.hide);\n  }\n  _setTimeout(handler, timeout) {\n    clearTimeout(this._timeout);\n    this._timeout = setTimeout(handler, timeout);\n  }\n  _isWithActiveTrigger() {\n    return Object.values(this._activeTrigger).includes(true);\n  }\n  _getConfig(config) {\n    const dataAttributes = Manipulator.getDataAttributes(this._element);\n    for (const dataAttribute of Object.keys(dataAttributes)) {\n      if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n        delete dataAttributes[dataAttribute];\n      }\n    }\n    config = {\n      ...dataAttributes,\n      ...(typeof config === 'object' && config ? config : {})\n    };\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n  _configAfterMerge(config) {\n    config.container = config.container === false ? document.body : getElement(config.container);\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      };\n    }\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString();\n    }\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString();\n    }\n    return config;\n  }\n  _getDelegateConfig() {\n    const config = {};\n    for (const [key, value] of Object.entries(this._config)) {\n      if (this.constructor.Default[key] !== value) {\n        config[key] = value;\n      }\n    }\n    config.selector = false;\n    config.trigger = 'manual';\n\n    // In the future can be replaced with:\n    // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n    // `Object.fromEntries(keysWithDifferentValues)`\n    return config;\n  }\n  _disposePopper() {\n    if (this._popper) {\n      this._popper.destroy();\n      this._popper = null;\n    }\n    if (this.tip) {\n      this.tip.remove();\n      this.tip = null;\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tooltip.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$3 = 'popover';\nconst SELECTOR_TITLE = '.popover-header';\nconst SELECTOR_CONTENT = '.popover-body';\nconst Default$2 = {\n  ...Tooltip.Default,\n  content: '',\n  offset: [0, 8],\n  placement: 'right',\n  template: '<div class=\"popover\" role=\"tooltip\">' + '<div class=\"popover-arrow\"></div>' + '<h3 class=\"popover-header\"></h3>' + '<div class=\"popover-body\"></div>' + '</div>',\n  trigger: 'click'\n};\nconst DefaultType$2 = {\n  ...Tooltip.DefaultType,\n  content: '(null|string|element|function)'\n};\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n  // Getters\n  static get Default() {\n    return Default$2;\n  }\n  static get DefaultType() {\n    return DefaultType$2;\n  }\n  static get NAME() {\n    return NAME$3;\n  }\n\n  // Overrides\n  _isWithContent() {\n    return this._getTitle() || this._getContent();\n  }\n\n  // Private\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TITLE]: this._getTitle(),\n      [SELECTOR_CONTENT]: this._getContent()\n    };\n  }\n  _getContent() {\n    return this._resolvePossibleFunction(this._config.content);\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Popover.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$2 = 'scrollspy';\nconst DATA_KEY$2 = 'bs.scrollspy';\nconst EVENT_KEY$2 = `.${DATA_KEY$2}`;\nconst DATA_API_KEY = '.data-api';\nconst EVENT_ACTIVATE = `activate${EVENT_KEY$2}`;\nconst EVENT_CLICK = `click${EVENT_KEY$2}`;\nconst EVENT_LOAD_DATA_API$1 = `load${EVENT_KEY$2}${DATA_API_KEY}`;\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item';\nconst CLASS_NAME_ACTIVE$1 = 'active';\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]';\nconst SELECTOR_TARGET_LINKS = '[href]';\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group';\nconst SELECTOR_NAV_LINKS = '.nav-link';\nconst SELECTOR_NAV_ITEMS = '.nav-item';\nconst SELECTOR_LIST_ITEMS = '.list-group-item';\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`;\nconst SELECTOR_DROPDOWN = '.dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE$1 = '.dropdown-toggle';\nconst Default$1 = {\n  offset: null,\n  // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: '0px 0px -25%',\n  smoothScroll: false,\n  target: null,\n  threshold: [0.1, 0.5, 1]\n};\nconst DefaultType$1 = {\n  offset: '(number|null)',\n  // TODO v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: 'string',\n  smoothScroll: 'boolean',\n  target: 'element',\n  threshold: 'array'\n};\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n\n    // this._element is the observablesContainer and config.target the menu links wrapper\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element;\n    this._activeTarget = null;\n    this._observer = null;\n    this._previousScrollData = {\n      visibleEntryTop: 0,\n      parentScrollTop: 0\n    };\n    this.refresh(); // initialize\n  }\n\n  // Getters\n  static get Default() {\n    return Default$1;\n  }\n  static get DefaultType() {\n    return DefaultType$1;\n  }\n  static get NAME() {\n    return NAME$2;\n  }\n\n  // Public\n  refresh() {\n    this._initializeTargetsAndObservables();\n    this._maybeEnableSmoothScroll();\n    if (this._observer) {\n      this._observer.disconnect();\n    } else {\n      this._observer = this._getNewObserver();\n    }\n    for (const section of this._observableSections.values()) {\n      this._observer.observe(section);\n    }\n  }\n  dispose() {\n    this._observer.disconnect();\n    super.dispose();\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n    config.target = getElement(config.target) || document.body;\n\n    // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n    config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin;\n    if (typeof config.threshold === 'string') {\n      config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value));\n    }\n    return config;\n  }\n  _maybeEnableSmoothScroll() {\n    if (!this._config.smoothScroll) {\n      return;\n    }\n\n    // unregister any previous listeners\n    EventHandler.off(this._config.target, EVENT_CLICK);\n    EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n      const observableSection = this._observableSections.get(event.target.hash);\n      if (observableSection) {\n        event.preventDefault();\n        const root = this._rootElement || window;\n        const height = observableSection.offsetTop - this._element.offsetTop;\n        if (root.scrollTo) {\n          root.scrollTo({\n            top: height,\n            behavior: 'smooth'\n          });\n          return;\n        }\n\n        // Chrome 60 doesn't support `scrollTo`\n        root.scrollTop = height;\n      }\n    });\n  }\n  _getNewObserver() {\n    const options = {\n      root: this._rootElement,\n      threshold: this._config.threshold,\n      rootMargin: this._config.rootMargin\n    };\n    return new IntersectionObserver(entries => this._observerCallback(entries), options);\n  }\n\n  // The logic of selection\n  _observerCallback(entries) {\n    const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`);\n    const activate = entry => {\n      this._previousScrollData.visibleEntryTop = entry.target.offsetTop;\n      this._process(targetElement(entry));\n    };\n    const parentScrollTop = (this._rootElement || document.documentElement).scrollTop;\n    const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop;\n    this._previousScrollData.parentScrollTop = parentScrollTop;\n    for (const entry of entries) {\n      if (!entry.isIntersecting) {\n        this._activeTarget = null;\n        this._clearActiveClass(targetElement(entry));\n        continue;\n      }\n      const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop;\n      // if we are scrolling down, pick the bigger offsetTop\n      if (userScrollsDown && entryIsLowerThanPrevious) {\n        activate(entry);\n        // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n        if (!parentScrollTop) {\n          return;\n        }\n        continue;\n      }\n\n      // if we are scrolling up, pick the smallest offsetTop\n      if (!userScrollsDown && !entryIsLowerThanPrevious) {\n        activate(entry);\n      }\n    }\n  }\n  _initializeTargetsAndObservables() {\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target);\n    for (const anchor of targetLinks) {\n      // ensure that the anchor has an id and is not disabled\n      if (!anchor.hash || isDisabled(anchor)) {\n        continue;\n      }\n      const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element);\n\n      // ensure that the observableSection exists & is visible\n      if (isVisible(observableSection)) {\n        this._targetLinks.set(decodeURI(anchor.hash), anchor);\n        this._observableSections.set(anchor.hash, observableSection);\n      }\n    }\n  }\n  _process(target) {\n    if (this._activeTarget === target) {\n      return;\n    }\n    this._clearActiveClass(this._config.target);\n    this._activeTarget = target;\n    target.classList.add(CLASS_NAME_ACTIVE$1);\n    this._activateParents(target);\n    EventHandler.trigger(this._element, EVENT_ACTIVATE, {\n      relatedTarget: target\n    });\n  }\n  _activateParents(target) {\n    // Activate dropdown parents\n    if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n      SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE$1, target.closest(SELECTOR_DROPDOWN)).classList.add(CLASS_NAME_ACTIVE$1);\n      return;\n    }\n    for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n      // Set triggered links parents as active\n      // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n      for (const item of SelectorEngine.prev(listGroup, SELECTOR_LINK_ITEMS)) {\n        item.classList.add(CLASS_NAME_ACTIVE$1);\n      }\n    }\n  }\n  _clearActiveClass(parent) {\n    parent.classList.remove(CLASS_NAME_ACTIVE$1);\n    const activeNodes = SelectorEngine.find(`${SELECTOR_TARGET_LINKS}.${CLASS_NAME_ACTIVE$1}`, parent);\n    for (const node of activeNodes) {\n      node.classList.remove(CLASS_NAME_ACTIVE$1);\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = ScrollSpy.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API$1, () => {\n  for (const spy of SelectorEngine.find(SELECTOR_DATA_SPY)) {\n    ScrollSpy.getOrCreateInstance(spy);\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(ScrollSpy);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$1 = 'tab';\nconst DATA_KEY$1 = 'bs.tab';\nconst EVENT_KEY$1 = `.${DATA_KEY$1}`;\nconst EVENT_HIDE$1 = `hide${EVENT_KEY$1}`;\nconst EVENT_HIDDEN$1 = `hidden${EVENT_KEY$1}`;\nconst EVENT_SHOW$1 = `show${EVENT_KEY$1}`;\nconst EVENT_SHOWN$1 = `shown${EVENT_KEY$1}`;\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY$1}`;\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY$1}`;\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY$1}`;\nconst ARROW_LEFT_KEY = 'ArrowLeft';\nconst ARROW_RIGHT_KEY = 'ArrowRight';\nconst ARROW_UP_KEY = 'ArrowUp';\nconst ARROW_DOWN_KEY = 'ArrowDown';\nconst HOME_KEY = 'Home';\nconst END_KEY = 'End';\nconst CLASS_NAME_ACTIVE = 'active';\nconst CLASS_NAME_FADE$1 = 'fade';\nconst CLASS_NAME_SHOW$1 = 'show';\nconst CLASS_DROPDOWN = 'dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle';\nconst SELECTOR_DROPDOWN_MENU = '.dropdown-menu';\nconst NOT_SELECTOR_DROPDOWN_TOGGLE = `:not(${SELECTOR_DROPDOWN_TOGGLE})`;\nconst SELECTOR_TAB_PANEL = '.list-group, .nav, [role=\"tablist\"]';\nconst SELECTOR_OUTER = '.nav-item, .list-group-item';\nconst SELECTOR_INNER = `.nav-link${NOT_SELECTOR_DROPDOWN_TOGGLE}, .list-group-item${NOT_SELECTOR_DROPDOWN_TOGGLE}, [role=\"tab\"]${NOT_SELECTOR_DROPDOWN_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]'; // TODO: could only be `tab` in v6\nconst SELECTOR_INNER_ELEM = `${SELECTOR_INNER}, ${SELECTOR_DATA_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE_ACTIVE = `.${CLASS_NAME_ACTIVE}[data-bs-toggle=\"tab\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"pill\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"list\"]`;\n\n/**\n * Class definition\n */\n\nclass Tab extends BaseComponent {\n  constructor(element) {\n    super(element);\n    this._parent = this._element.closest(SELECTOR_TAB_PANEL);\n    if (!this._parent) {\n      return;\n      // TODO: should throw exception in v6\n      // throw new TypeError(`${element.outerHTML} has not a valid parent ${SELECTOR_INNER_ELEM}`)\n    }\n\n    // Set up initial aria attributes\n    this._setInitialAttributes(this._parent, this._getChildren());\n    EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event));\n  }\n\n  // Getters\n  static get NAME() {\n    return NAME$1;\n  }\n\n  // Public\n  show() {\n    // Shows this elem and deactivate the active sibling if exists\n    const innerElem = this._element;\n    if (this._elemIsActive(innerElem)) {\n      return;\n    }\n\n    // Search for active tab on same parent to deactivate it\n    const active = this._getActiveElem();\n    const hideEvent = active ? EventHandler.trigger(active, EVENT_HIDE$1, {\n      relatedTarget: innerElem\n    }) : null;\n    const showEvent = EventHandler.trigger(innerElem, EVENT_SHOW$1, {\n      relatedTarget: active\n    });\n    if (showEvent.defaultPrevented || hideEvent && hideEvent.defaultPrevented) {\n      return;\n    }\n    this._deactivate(active, innerElem);\n    this._activate(innerElem, active);\n  }\n\n  // Private\n  _activate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n    element.classList.add(CLASS_NAME_ACTIVE);\n    this._activate(SelectorEngine.getElementFromSelector(element)); // Search and activate/show the proper section\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.add(CLASS_NAME_SHOW$1);\n        return;\n      }\n      element.removeAttribute('tabindex');\n      element.setAttribute('aria-selected', true);\n      this._toggleDropDown(element, true);\n      EventHandler.trigger(element, EVENT_SHOWN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n  _deactivate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n    element.classList.remove(CLASS_NAME_ACTIVE);\n    element.blur();\n    this._deactivate(SelectorEngine.getElementFromSelector(element)); // Search and deactivate the shown section too\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.remove(CLASS_NAME_SHOW$1);\n        return;\n      }\n      element.setAttribute('aria-selected', false);\n      element.setAttribute('tabindex', '-1');\n      this._toggleDropDown(element, false);\n      EventHandler.trigger(element, EVENT_HIDDEN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n  _keydown(event) {\n    if (![ARROW_LEFT_KEY, ARROW_RIGHT_KEY, ARROW_UP_KEY, ARROW_DOWN_KEY, HOME_KEY, END_KEY].includes(event.key)) {\n      return;\n    }\n    event.stopPropagation(); // stopPropagation/preventDefault both added to support up/down keys without scrolling the page\n    event.preventDefault();\n    const children = this._getChildren().filter(element => !isDisabled(element));\n    let nextActiveElement;\n    if ([HOME_KEY, END_KEY].includes(event.key)) {\n      nextActiveElement = children[event.key === HOME_KEY ? 0 : children.length - 1];\n    } else {\n      const isNext = [ARROW_RIGHT_KEY, ARROW_DOWN_KEY].includes(event.key);\n      nextActiveElement = getNextActiveElement(children, event.target, isNext, true);\n    }\n    if (nextActiveElement) {\n      nextActiveElement.focus({\n        preventScroll: true\n      });\n      Tab.getOrCreateInstance(nextActiveElement).show();\n    }\n  }\n  _getChildren() {\n    // collection of inner elements\n    return SelectorEngine.find(SELECTOR_INNER_ELEM, this._parent);\n  }\n  _getActiveElem() {\n    return this._getChildren().find(child => this._elemIsActive(child)) || null;\n  }\n  _setInitialAttributes(parent, children) {\n    this._setAttributeIfNotExists(parent, 'role', 'tablist');\n    for (const child of children) {\n      this._setInitialAttributesOnChild(child);\n    }\n  }\n  _setInitialAttributesOnChild(child) {\n    child = this._getInnerElement(child);\n    const isActive = this._elemIsActive(child);\n    const outerElem = this._getOuterElement(child);\n    child.setAttribute('aria-selected', isActive);\n    if (outerElem !== child) {\n      this._setAttributeIfNotExists(outerElem, 'role', 'presentation');\n    }\n    if (!isActive) {\n      child.setAttribute('tabindex', '-1');\n    }\n    this._setAttributeIfNotExists(child, 'role', 'tab');\n\n    // set attributes to the related panel too\n    this._setInitialAttributesOnTargetPanel(child);\n  }\n  _setInitialAttributesOnTargetPanel(child) {\n    const target = SelectorEngine.getElementFromSelector(child);\n    if (!target) {\n      return;\n    }\n    this._setAttributeIfNotExists(target, 'role', 'tabpanel');\n    if (child.id) {\n      this._setAttributeIfNotExists(target, 'aria-labelledby', `${child.id}`);\n    }\n  }\n  _toggleDropDown(element, open) {\n    const outerElem = this._getOuterElement(element);\n    if (!outerElem.classList.contains(CLASS_DROPDOWN)) {\n      return;\n    }\n    const toggle = (selector, className) => {\n      const element = SelectorEngine.findOne(selector, outerElem);\n      if (element) {\n        element.classList.toggle(className, open);\n      }\n    };\n    toggle(SELECTOR_DROPDOWN_TOGGLE, CLASS_NAME_ACTIVE);\n    toggle(SELECTOR_DROPDOWN_MENU, CLASS_NAME_SHOW$1);\n    outerElem.setAttribute('aria-expanded', open);\n  }\n  _setAttributeIfNotExists(element, attribute, value) {\n    if (!element.hasAttribute(attribute)) {\n      element.setAttribute(attribute, value);\n    }\n  }\n  _elemIsActive(elem) {\n    return elem.classList.contains(CLASS_NAME_ACTIVE);\n  }\n\n  // Try to get the inner element (usually the .nav-link)\n  _getInnerElement(elem) {\n    return elem.matches(SELECTOR_INNER_ELEM) ? elem : SelectorEngine.findOne(SELECTOR_INNER_ELEM, elem);\n  }\n\n  // Try to get the outer element (usually the .nav-item)\n  _getOuterElement(elem) {\n    return elem.closest(SELECTOR_OUTER) || elem;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tab.getOrCreateInstance(this);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  if (isDisabled(this)) {\n    return;\n  }\n  Tab.getOrCreateInstance(this).show();\n});\n\n/**\n * Initialize on focus\n */\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const element of SelectorEngine.find(SELECTOR_DATA_TOGGLE_ACTIVE)) {\n    Tab.getOrCreateInstance(element);\n  }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tab);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME = 'toast';\nconst DATA_KEY = 'bs.toast';\nconst EVENT_KEY = `.${DATA_KEY}`;\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`;\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`;\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`;\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`;\nconst EVENT_HIDE = `hide${EVENT_KEY}`;\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`;\nconst EVENT_SHOW = `show${EVENT_KEY}`;\nconst EVENT_SHOWN = `shown${EVENT_KEY}`;\nconst CLASS_NAME_FADE = 'fade';\nconst CLASS_NAME_HIDE = 'hide'; // @deprecated - kept here only for backwards compatibility\nconst CLASS_NAME_SHOW = 'show';\nconst CLASS_NAME_SHOWING = 'showing';\nconst DefaultType = {\n  animation: 'boolean',\n  autohide: 'boolean',\n  delay: 'number'\n};\nconst Default = {\n  animation: true,\n  autohide: true,\n  delay: 5000\n};\n\n/**\n * Class definition\n */\n\nclass Toast extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._timeout = null;\n    this._hasMouseInteraction = false;\n    this._hasKeyboardInteraction = false;\n    this._setListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default;\n  }\n  static get DefaultType() {\n    return DefaultType;\n  }\n  static get NAME() {\n    return NAME;\n  }\n\n  // Public\n  show() {\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW);\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._clearTimeout();\n    if (this._config.animation) {\n      this._element.classList.add(CLASS_NAME_FADE);\n    }\n    const complete = () => {\n      this._element.classList.remove(CLASS_NAME_SHOWING);\n      EventHandler.trigger(this._element, EVENT_SHOWN);\n      this._maybeScheduleHide();\n    };\n    this._element.classList.remove(CLASS_NAME_HIDE); // @deprecated\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_SHOW, CLASS_NAME_SHOWING);\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n  hide() {\n    if (!this.isShown()) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const complete = () => {\n      this._element.classList.add(CLASS_NAME_HIDE); // @deprecated\n      this._element.classList.remove(CLASS_NAME_SHOWING, CLASS_NAME_SHOW);\n      EventHandler.trigger(this._element, EVENT_HIDDEN);\n    };\n    this._element.classList.add(CLASS_NAME_SHOWING);\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n  dispose() {\n    this._clearTimeout();\n    if (this.isShown()) {\n      this._element.classList.remove(CLASS_NAME_SHOW);\n    }\n    super.dispose();\n  }\n  isShown() {\n    return this._element.classList.contains(CLASS_NAME_SHOW);\n  }\n\n  // Private\n\n  _maybeScheduleHide() {\n    if (!this._config.autohide) {\n      return;\n    }\n    if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n      return;\n    }\n    this._timeout = setTimeout(() => {\n      this.hide();\n    }, this._config.delay);\n  }\n  _onInteraction(event, isInteracting) {\n    switch (event.type) {\n      case 'mouseover':\n      case 'mouseout':\n        {\n          this._hasMouseInteraction = isInteracting;\n          break;\n        }\n      case 'focusin':\n      case 'focusout':\n        {\n          this._hasKeyboardInteraction = isInteracting;\n          break;\n        }\n    }\n    if (isInteracting) {\n      this._clearTimeout();\n      return;\n    }\n    const nextElement = event.relatedTarget;\n    if (this._element === nextElement || this._element.contains(nextElement)) {\n      return;\n    }\n    this._maybeScheduleHide();\n  }\n  _setListeners() {\n    EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false));\n    EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false));\n  }\n  _clearTimeout() {\n    clearTimeout(this._timeout);\n    this._timeout = null;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Toast.getOrCreateInstance(this, config);\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config](this);\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Toast);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Toast);\n\nexport { Alert, Button, Carousel, Collapse, Dropdown, Modal, Offcanvas, Popover, ScrollSpy, Tab, Toast, Tooltip };\n//# sourceMappingURL=bootstrap.esm.js.map\n","/* define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if 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diff --git a/_static/scripts/pydata-sphinx-theme.js b/_static/scripts/pydata-sphinx-theme.js
index 3cbeb9b..9aac46d 100644
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diff --git a/_static/scripts/pydata-sphinx-theme.js.map b/_static/scripts/pydata-sphinx-theme.js.map
index 418212a..410fe68 100644
--- a/_static/scripts/pydata-sphinx-theme.js.map
+++ b/_static/scripts/pydata-sphinx-theme.js.map
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define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if (document.readyState != \"loading\") callback();\n  else document.addEventListener(\"DOMContentLoaded\", callback);\n}\n","/**\n * Compare [semver](https://semver.org/) version strings to find greater, equal or lesser.\n * This library supports the full semver specification, including comparing versions with different number of digits like `1.0.0`, `1.0`, `1`, and pre-release versions like `1.0.0-alpha`.\n * @param v1 - First version to compare\n * @param v2 - Second version to compare\n * @returns Numeric value compatible with the [Array.sort(fn) interface](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/sort#Parameters).\n */\nexport const compareVersions = (v1, v2) => {\n    // validate input and split into segments\n    const n1 = validateAndParse(v1);\n    const n2 = validateAndParse(v2);\n    // pop off the patch\n    const p1 = n1.pop();\n    const p2 = n2.pop();\n    // validate numbers\n    const r = compareSegments(n1, n2);\n    if (r !== 0)\n        return r;\n    // validate pre-release\n    if (p1 && p2) {\n        return compareSegments(p1.split('.'), p2.split('.'));\n    }\n    else if (p1 || p2) {\n        return p1 ? -1 : 1;\n    }\n    return 0;\n};\n/**\n * Validate [semver](https://semver.org/) version strings.\n *\n * @param version Version number to validate\n * @returns `true` if the version number is a valid semver version number, `false` otherwise.\n *\n * @example\n * ```\n * validate('1.0.0-rc.1'); // return true\n * validate('1.0-rc.1'); // return false\n * validate('foo'); // return false\n * ```\n */\nexport const validate = (version) => typeof version === 'string' && /^[v\\d]/.test(version) && semver.test(version);\n/**\n * Compare [semver](https://semver.org/) version strings using the specified operator.\n *\n * @param v1 First version to compare\n * @param v2 Second version to compare\n * @param operator Allowed arithmetic operator to use\n * @returns `true` if the comparison between the firstVersion and the secondVersion satisfies the operator, `false` otherwise.\n *\n * @example\n * ```\n * compare('10.1.8', '10.0.4', '>'); // return true\n * compare('10.0.1', '10.0.1', '='); // return true\n * compare('10.1.1', '10.2.2', '<'); // return true\n * compare('10.1.1', '10.2.2', '<='); // return true\n * compare('10.1.1', '10.2.2', '>='); // return false\n * ```\n */\nexport const compare = (v1, v2, operator) => {\n    // validate input operator\n    assertValidOperator(operator);\n    // since result of compareVersions can only be -1 or 0 or 1\n    // a simple map can be used to replace switch\n    const res = compareVersions(v1, v2);\n    return operatorResMap[operator].includes(res);\n};\n/**\n * Match [npm semver](https://docs.npmjs.com/cli/v6/using-npm/semver) version range.\n *\n * @param version Version number to match\n * @param range Range pattern for version\n * @returns `true` if the version number is within the range, `false` otherwise.\n *\n * @example\n * ```\n * satisfies('1.1.0', '^1.0.0'); // return true\n * satisfies('1.1.0', '~1.0.0'); // return false\n * ```\n */\nexport const satisfies = (version, range) => {\n    // if no range operator then \"=\"\n    const m = range.match(/^([<>=~^]+)/);\n    const op = m ? m[1] : '=';\n    // if gt/lt/eq then operator compare\n    if (op !== '^' && op !== '~')\n        return compare(version, range, op);\n    // else range of either \"~\" or \"^\" is assumed\n    const [v1, v2, v3, , vp] = validateAndParse(version);\n    const [r1, r2, r3, , rp] = validateAndParse(range);\n    const v = [v1, v2, v3];\n    const r = [r1, r2 !== null && r2 !== void 0 ? r2 : 'x', r3 !== null && r3 !== void 0 ? r3 : 'x'];\n    // validate pre-release\n    if (rp) {\n        if (!vp)\n            return false;\n        if (compareSegments(v, r) !== 0)\n            return false;\n        if (compareSegments(vp.split('.'), rp.split('.')) === -1)\n            return false;\n    }\n    // first non-zero number\n    const nonZero = r.findIndex((v) => v !== '0') + 1;\n    // pointer to where segments can be >=\n    const i = op === '~' ? 2 : nonZero > 1 ? nonZero : 1;\n    // before pointer must be equal\n    if (compareSegments(v.slice(0, i), r.slice(0, i)) !== 0)\n        return false;\n    // after pointer must be >=\n    if (compareSegments(v.slice(i), r.slice(i)) === -1)\n        return false;\n    return true;\n};\nconst semver = /^[v^~<>=]*?(\\d+)(?:\\.([x*]|\\d+)(?:\\.([x*]|\\d+)(?:\\.([x*]|\\d+))?(?:-([\\da-z\\-]+(?:\\.[\\da-z\\-]+)*))?(?:\\+[\\da-z\\-]+(?:\\.[\\da-z\\-]+)*)?)?)?$/i;\nconst validateAndParse = (version) => {\n    if (typeof version !== 'string') {\n        throw new TypeError('Invalid argument expected string');\n    }\n    const match = version.match(semver);\n    if (!match) {\n        throw new Error(`Invalid argument not valid semver ('${version}' received)`);\n    }\n    match.shift();\n    return match;\n};\nconst isWildcard = (s) => s === '*' || s === 'x' || s === 'X';\nconst tryParse = (v) => {\n    const n = parseInt(v, 10);\n    return isNaN(n) ? v : n;\n};\nconst forceType = (a, b) => typeof a !== typeof b ? [String(a), String(b)] : [a, b];\nconst compareStrings = (a, b) => {\n    if (isWildcard(a) || isWildcard(b))\n        return 0;\n    const [ap, bp] = forceType(tryParse(a), tryParse(b));\n    if (ap > bp)\n        return 1;\n    if (ap < bp)\n        return -1;\n    return 0;\n};\nconst compareSegments = (a, b) => {\n    for (let i = 0; i < Math.max(a.length, b.length); i++) {\n        const r = compareStrings(a[i] || '0', b[i] || '0');\n        if (r !== 0)\n            return r;\n    }\n    return 0;\n};\nconst operatorResMap = {\n    '>': [1],\n    '>=': [0, 1],\n    '=': [0],\n    '<=': [-1, 0],\n    '<': [-1],\n};\nconst allowedOperators = Object.keys(operatorResMap);\nconst assertValidOperator = (op) => {\n    if (typeof op !== 'string') {\n        throw new TypeError(`Invalid operator type, expected string but got ${typeof op}`);\n    }\n    if (allowedOperators.indexOf(op) === -1) {\n        throw new Error(`Invalid operator, expected one of ${allowedOperators.join('|')}`);\n    }\n};\n//# sourceMappingURL=index.js.map","// Define the custom behavior of the page\nimport { documentReady } from \"./mixin\";\nimport { compare, validate } from \"compare-versions\";\n\nimport \"../styles/pydata-sphinx-theme.scss\";\n\n/*******************************************************************************\n * Theme interaction\n */\n\nvar prefersDark = window.matchMedia(\"(prefers-color-scheme: dark)\");\n\n/**\n * set the the body theme to the one specified by the user browser\n *\n * @param {event} e\n */\nfunction autoTheme(e) {\n  document.documentElement.dataset.theme = prefersDark.matches\n    ? \"dark\"\n    : \"light\";\n}\n\n/**\n * Set the theme using the specified mode.\n * It can be one of [\"auto\", \"dark\", \"light\"]\n *\n * @param {str} mode\n */\nfunction setTheme(mode) {\n  if (mode !== \"light\" && mode !== \"dark\" && mode !== \"auto\") {\n    console.error(`Got invalid theme mode: ${mode}. Resetting to auto.`);\n    mode = \"auto\";\n  }\n\n  // get the theme\n  var colorScheme = prefersDark.matches ? \"dark\" : \"light\";\n  document.documentElement.dataset.mode = mode;\n  var theme = mode == \"auto\" ? colorScheme : mode;\n  document.documentElement.dataset.theme = theme;\n  // TODO: remove this line after Bootstrap upgrade\n  // v5.3 has a colors mode: https://getbootstrap.com/docs/5.3/customize/color-modes/\n  document.querySelectorAll(\".dropdown-menu\").forEach((el) => {\n    if (theme === \"dark\") {\n      el.classList.add(\"dropdown-menu-dark\");\n    } else {\n      el.classList.remove(\"dropdown-menu-dark\");\n    }\n  });\n\n  // save mode and theme\n  localStorage.setItem(\"mode\", mode);\n  localStorage.setItem(\"theme\", theme);\n  console.log(`[PST]: Changed to ${mode} mode using the ${theme} theme.`);\n\n  // add a listener if set on auto\n  prefersDark.onchange = mode == \"auto\" ? autoTheme : \"\";\n}\n\n/**\n * Change the theme option order so that clicking on the btn is always a change\n * from \"auto\"\n */\nfunction cycleMode() {\n  const defaultMode = document.documentElement.dataset.defaultMode || \"auto\";\n  const currentMode = localStorage.getItem(\"mode\") || defaultMode;\n\n  var loopArray = (arr, current) => {\n    var nextPosition = arr.indexOf(current) + 1;\n    if (nextPosition === arr.length) {\n      nextPosition = 0;\n    }\n    return arr[nextPosition];\n  };\n\n  // make sure the next theme after auto is always a change\n  var modeList = prefersDark.matches\n    ? [\"auto\", \"light\", \"dark\"]\n    : [\"auto\", \"dark\", \"light\"];\n  var newMode = loopArray(modeList, currentMode);\n  setTheme(newMode);\n}\n\n/**\n * add the theme listener on the btns of the navbar\n */\nfunction addModeListener() {\n  // the theme was set a first time using the initial mini-script\n  // running setMode will ensure the use of the dark mode if auto is selected\n  setTheme(document.documentElement.dataset.mode);\n\n  // Attach event handlers for toggling themes colors\n  document.querySelectorAll(\".theme-switch-button\").forEach((el) => {\n    el.addEventListener(\"click\", cycleMode);\n  });\n}\n\n/*******************************************************************************\n * TOC interactivity\n */\n\n/**\n * TOC sidebar - add \"active\" class to parent list\n *\n * Bootstrap's scrollspy adds the active class to the <a> link,\n * but for the automatic collapsing we need this on the parent list item.\n *\n * The event is triggered on \"window\" (and not the nav item as documented),\n * see https://github.com/twbs/bootstrap/issues/20086\n */\nfunction addTOCInteractivity() {\n  window.addEventListener(\"activate.bs.scrollspy\", function () {\n    const navLinks = document.querySelectorAll(\".bd-toc-nav a\");\n\n    navLinks.forEach((navLink) => {\n      navLink.parentElement.classList.remove(\"active\");\n    });\n\n    const activeNavLinks = document.querySelectorAll(\".bd-toc-nav a.active\");\n    activeNavLinks.forEach((navLink) => {\n      navLink.parentElement.classList.add(\"active\");\n    });\n  });\n}\n\n/*******************************************************************************\n * Scroll\n */\n\n/**\n * Navigation sidebar scrolling to active page\n */\nfunction scrollToActive() {\n  // If the docs nav doesn't exist, do nothing (e.g., on search page)\n  if (!document.querySelector(\".bd-docs-nav\")) {\n    return;\n  }\n\n  var sidebar = document.querySelector(\"div.bd-sidebar\");\n\n  // Remember the sidebar scroll position between page loads\n  // Inspired on source of revealjs.com\n  let storedScrollTop = parseInt(\n    sessionStorage.getItem(\"sidebar-scroll-top\"),\n    10,\n  );\n\n  if (!isNaN(storedScrollTop)) {\n    // If we've got a saved scroll position, just use that\n    sidebar.scrollTop = storedScrollTop;\n    console.log(\"[PST]: Scrolled sidebar using stored browser position...\");\n  } else {\n    // Otherwise, calculate a position to scroll to based on the lowest `active` link\n    var sidebarNav = document.querySelector(\".bd-docs-nav\");\n    var active_pages = sidebarNav.querySelectorAll(\".active\");\n    if (active_pages.length > 0) {\n      // Use the last active page as the offset since it's the page we're on\n      var latest_active = active_pages[active_pages.length - 1];\n      var offset =\n        latest_active.getBoundingClientRect().y -\n        sidebar.getBoundingClientRect().y;\n      // Only scroll the navbar if the active link is lower than 50% of the page\n      if (latest_active.getBoundingClientRect().y > window.innerHeight * 0.5) {\n        let buffer = 0.25; // Buffer so we have some space above the scrolled item\n        sidebar.scrollTop = offset - sidebar.clientHeight * buffer;\n        console.log(\"[PST]: Scrolled sidebar using last active link...\");\n      }\n    }\n  }\n\n  // Store the sidebar scroll position\n  window.addEventListener(\"beforeunload\", () => {\n    sessionStorage.setItem(\"sidebar-scroll-top\", sidebar.scrollTop);\n  });\n}\n\n/*******************************************************************************\n * Search\n */\n\n/**\n * Find any search forms on the page and return their input element\n */\nvar findSearchInput = () => {\n  let forms = document.querySelectorAll(\"form.bd-search\");\n  if (!forms.length) {\n    // no search form found\n    return;\n  } else {\n    var form;\n    if (forms.length == 1) {\n      // there is exactly one search form (persistent or hidden)\n      form = forms[0];\n    } else {\n      // must be at least one persistent form, use the first persistent one\n      form = document.querySelector(\n        \"div:not(.search-button__search-container) > form.bd-search\",\n      );\n    }\n    return form.querySelector(\"input\");\n  }\n};\n\n/**\n * Activate the search field on the page.\n * - If there is a search field already visible it will be activated.\n * - If not, then a search field will pop up.\n */\nvar toggleSearchField = () => {\n  // Find the search input to highlight\n  let input = findSearchInput();\n\n  // if the input field is the hidden one (the one associated with the\n  // search button) then toggle the button state (to show/hide the field)\n  let searchPopupWrapper = document.querySelector(\".search-button__wrapper\");\n  let hiddenInput = searchPopupWrapper.querySelector(\"input\");\n  if (input === hiddenInput) {\n    searchPopupWrapper.classList.toggle(\"show\");\n  }\n  // when toggling off the search field, remove its focus\n  if (document.activeElement === input) {\n    input.blur();\n  } else {\n    input.focus();\n    input.select();\n    input.scrollIntoView({ block: \"center\" });\n  }\n};\n\n/**\n * Add an event listener for toggleSearchField() for Ctrl/Cmd + K\n */\nvar addEventListenerForSearchKeyboard = () => {\n  window.addEventListener(\n    \"keydown\",\n    (event) => {\n      let input = findSearchInput();\n      // toggle on Ctrl+k or ⌘+k\n      if (\n        // Ignore if shift or alt are pressed\n        !event.shiftKey &&\n        !event.altKey &&\n        // On Mac use ⌘, all other OS use Ctrl\n        (useCommandKey\n          ? event.metaKey && !event.ctrlKey\n          : !event.metaKey && event.ctrlKey) &&\n        // Case-insensitive so the shortcut still works with caps lock\n        /^k$/i.test(event.key)\n      ) {\n        event.preventDefault();\n        toggleSearchField();\n      }\n      // also allow Escape key to hide (but not show) the dynamic search field\n      else if (document.activeElement === input && /Escape/i.test(event.key)) {\n        toggleSearchField();\n      }\n    },\n    true,\n  );\n};\n\n/**\n * If the user is on a Mac, use command (⌘) instead of control (ctrl) key\n *\n * Note: `navigator.platform` is deprecated; however MDN still recommends using\n * it for the one specific use case of detecting whether a keyboard shortcut\n * should use control or command:\n * https://developer.mozilla.org/en-US/docs/Web/API/Navigator/platform#examples\n */\nvar useCommandKey =\n  navigator.platform.indexOf(\"Mac\") === 0 || navigator.platform === \"iPhone\";\n\n/**\n * Change the search hint to `meta key` if we are a Mac\n */\n\nvar changeSearchShortcutKey = () => {\n  let shortcuts = document.querySelectorAll(\".search-button__kbd-shortcut\");\n  if (useCommandKey) {\n    shortcuts.forEach(\n      (f) => (f.querySelector(\"kbd.kbd-shortcut__modifier\").innerText = \"⌘\"),\n    );\n  }\n};\n\n/**\n * Activate callbacks for search button popup\n */\nvar setupSearchButtons = () => {\n  changeSearchShortcutKey();\n  addEventListenerForSearchKeyboard();\n\n  // Add the search button trigger event callback\n  document.querySelectorAll(\".search-button__button\").forEach((btn) => {\n    btn.onclick = toggleSearchField;\n  });\n\n  // Add the search button overlay event callback\n  let overlay = document.querySelector(\".search-button__overlay\");\n  if (overlay) {\n    overlay.onclick = toggleSearchField;\n  }\n};\n\n/*******************************************************************************\n * Version Switcher\n * Note that this depends on two variables existing that are defined in\n * and `html-page-context` hook:\n *\n * - DOCUMENTATION_OPTIONS.pagename\n * - DOCUMENTATION_OPTIONS.theme_switcher_url\n */\n\n/**\n * path component of URL\n */\nvar getCurrentUrlPath = () => {\n  if (DOCUMENTATION_OPTIONS.BUILDER == \"dirhtml\") {\n    return DOCUMENTATION_OPTIONS.pagename == \"index\"\n      ? `/`\n      : `${DOCUMENTATION_OPTIONS.pagename}/`;\n  }\n  return `${DOCUMENTATION_OPTIONS.pagename}.html`;\n};\n\n/**\n * Allow user to dismiss the warning banner about the docs version being dev / old.\n * We store the dismissal date and version, to give us flexibility about making the\n * dismissal last for longer than one browser session, if we decide to do that.\n *\n * @param {event} event the event that trigger the check\n */\nasync function DismissBannerAndStorePref(event) {\n  const banner = document.querySelector(\"#bd-header-version-warning\");\n  banner.remove();\n  const version = DOCUMENTATION_OPTIONS.VERSION;\n  const now = new Date();\n  const banner_pref = JSON.parse(\n    localStorage.getItem(\"pst_banner_pref\") || \"{}\",\n  );\n  console.debug(\n    `[PST] Dismissing the version warning banner on ${version} starting ${now}.`,\n  );\n  banner_pref[version] = now;\n  localStorage.setItem(\"pst_banner_pref\", JSON.stringify(banner_pref));\n}\n\n/**\n * Check if corresponding page path exists in other version of docs\n * and, if so, go there instead of the homepage of the other docs version\n *\n * @param {event} event the event that trigger the check\n */\nasync function checkPageExistsAndRedirect(event) {\n  // ensure we don't follow the initial link\n  event.preventDefault();\n  const currentFilePath = getCurrentUrlPath();\n  let tryUrl = event.currentTarget.getAttribute(\"href\");\n  let otherDocsHomepage = tryUrl.replace(currentFilePath, \"\");\n  try {\n    let head = await fetch(tryUrl, { method: \"HEAD\" });\n    if (head.ok) {\n      location.href = tryUrl; // the page exists, go there\n    } else {\n      location.href = otherDocsHomepage;\n    }\n  } catch (err) {\n    // something went wrong, probably CORS restriction, fallback to other docs homepage\n    location.href = otherDocsHomepage;\n  }\n}\n\n/**\n * Load and parse the version switcher JSON file from an absolute or relative URL.\n *\n * @param {string} url The URL to load version switcher entries from.\n */\nasync function fetchVersionSwitcherJSON(url) {\n  // first check if it's a valid URL\n  try {\n    var result = new URL(url);\n  } catch (err) {\n    if (err instanceof TypeError) {\n      if (!window.location.origin) {\n        // window.location.origin is null for local static sites\n        // (ie. window.location.protocol == 'file:')\n        //\n        // TODO: Fix this to return the static version switcher by working out\n        // how to get the correct path to the switcher JSON file on local static builds\n        return null;\n      }\n      // assume we got a relative path, and fix accordingly. But first, we need to\n      // use `fetch()` to follow redirects so we get the correct final base URL\n      const origin = await fetch(window.location.origin, { method: \"HEAD\" });\n      result = new URL(url, origin.url);\n    } else {\n      // something unexpected happened\n      throw err;\n    }\n  }\n  // load and return the JSON\n  const response = await fetch(result);\n  const data = await response.json();\n  return data;\n}\n\n// Populate the version switcher from the JSON data\nfunction populateVersionSwitcher(data, versionSwitcherBtns) {\n  const currentFilePath = getCurrentUrlPath();\n  versionSwitcherBtns.forEach((btn) => {\n    // Set empty strings by default so that these attributes exist and can be used in CSS selectors\n    btn.dataset[\"activeVersionName\"] = \"\";\n    btn.dataset[\"activeVersion\"] = \"\";\n  });\n  // in case there are multiple entries with the same version string, this helps us\n  // decide which entry's `name` to put on the button itself. Without this, it would\n  // always be the *last* version-matching entry; now it will be either the\n  // version-matching entry that is also marked as `\"preferred\": true`, or if that\n  // doesn't exist: the *first* version-matching entry.\n  data = data.map((entry) => {\n    // does this entry match the version that we're currently building/viewing?\n    entry.match =\n      entry.version == DOCUMENTATION_OPTIONS.theme_switcher_version_match;\n    entry.preferred = entry.preferred || false;\n    // if no custom name specified (e.g., \"latest\"), use version string\n    if (!(\"name\" in entry)) {\n      entry.name = entry.version;\n    }\n    return entry;\n  });\n  const hasMatchingPreferredEntry = data\n    .map((entry) => entry.preferred && entry.match)\n    .some(Boolean);\n  var foundMatch = false;\n  // create links to the corresponding page in the other docs versions\n  data.forEach((entry) => {\n    // create the node\n    const anchor = document.createElement(\"a\");\n    anchor.setAttribute(\n      \"class\",\n      \"dropdown-item list-group-item list-group-item-action py-1\",\n    );\n    anchor.setAttribute(\"href\", `${entry.url}${currentFilePath}`);\n    anchor.setAttribute(\"role\", \"option\");\n    const span = document.createElement(\"span\");\n    span.textContent = `${entry.name}`;\n    anchor.appendChild(span);\n    // Add dataset values for the version and name in case people want\n    // to apply CSS styling based on this information.\n    anchor.dataset[\"versionName\"] = entry.name;\n    anchor.dataset[\"version\"] = entry.version;\n    // replace dropdown button text with the preferred display name of the\n    // currently-viewed version, rather than using sphinx's {{ version }} variable.\n    // also highlight the dropdown entry for the currently-viewed version's entry\n    let matchesAndIsPreferred = hasMatchingPreferredEntry && entry.preferred;\n    let matchesAndIsFirst =\n      !hasMatchingPreferredEntry && !foundMatch && entry.match;\n    if (matchesAndIsPreferred || matchesAndIsFirst) {\n      anchor.classList.add(\"active\");\n      versionSwitcherBtns.forEach((btn) => {\n        btn.innerText = entry.name;\n        btn.dataset[\"activeVersionName\"] = entry.name;\n        btn.dataset[\"activeVersion\"] = entry.version;\n      });\n      foundMatch = true;\n    }\n    // There may be multiple version-switcher elements, e.g. one\n    // in a slide-over panel displayed on smaller screens.\n    document.querySelectorAll(\".version-switcher__menu\").forEach((menu) => {\n      // we need to clone the node for each menu, but onclick attributes are not\n      // preserved by `.cloneNode()` so we add onclick here after cloning.\n      let node = anchor.cloneNode(true);\n      node.onclick = checkPageExistsAndRedirect;\n      // on click, AJAX calls will check if the linked page exists before\n      // trying to redirect, and if not, will redirect to the homepage\n      // for that version of the docs.\n      menu.append(node);\n    });\n  });\n}\n\n/*******************************************************************************\n * Warning banner when viewing non-stable version of the docs.\n */\n\n/**\n * Show a warning banner when viewing a non-stable version of the docs.\n *\n * adapted 2023-06 from https://mne.tools/versionwarning.js, which was\n * originally adapted 2020-05 from https://scikit-learn.org/versionwarning.js\n *\n * @param {Array} data The version data used to populate the switcher menu.\n */\nfunction showVersionWarningBanner(data) {\n  var version = DOCUMENTATION_OPTIONS.VERSION;\n  // figure out what latest stable version is\n  var preferredEntries = data.filter((entry) => entry.preferred);\n  if (preferredEntries.length !== 1) {\n    const howMany = preferredEntries.length == 0 ? \"No\" : \"Multiple\";\n    console.log(\n      `[PST] ${howMany} versions marked \"preferred\" found in versions JSON, ignoring.`,\n    );\n    return;\n  }\n  const preferredVersion = preferredEntries[0].version;\n  const preferredURL = preferredEntries[0].url;\n  // if already on preferred version, nothing to do\n  const versionsAreComparable = validate(version) && validate(preferredVersion);\n  if (versionsAreComparable && compare(version, preferredVersion, \"=\")) {\n    console.log(\n      \"This is the prefered version of the docs, not showing the warning banner.\",\n    );\n    return;\n  }\n  // check if banner has been dismissed recently\n  const dismiss_date_str = JSON.parse(\n    localStorage.getItem(\"pst_banner_pref\") || \"{}\",\n  )[version];\n  if (dismiss_date_str != null) {\n    const dismiss_date = new Date(dismiss_date_str);\n    const now = new Date();\n    const milliseconds_in_a_day = 24 * 60 * 60 * 1000;\n    const days_passed = (now - dismiss_date) / milliseconds_in_a_day;\n    const timeout_in_days = 14;\n    if (days_passed < timeout_in_days) {\n      console.info(\n        `[PST] Suppressing version warning banner; was dismissed ${Math.floor(days_passed)} day(s) ago`,\n      );\n      return;\n    }\n  }\n\n  // now construct the warning banner\n  const banner = document.querySelector(\"#bd-header-version-warning\");\n  const middle = document.createElement(\"div\");\n  const inner = document.createElement(\"div\");\n  const bold = document.createElement(\"strong\");\n  const button = document.createElement(\"a\");\n  const close_btn = document.createElement(\"a\");\n  // these classes exist since pydata-sphinx-theme v0.10.0\n  // the init class is used for animation\n  middle.classList = \"bd-header-announcement__content  ms-auto me-auto\";\n  inner.classList = \"sidebar-message\";\n  button.classList =\n    \"btn text-wrap font-weight-bold ms-3 my-1 align-baseline pst-button-link-to-stable-version\";\n  button.href = `${preferredURL}${getCurrentUrlPath()}`;\n  button.innerText = \"Switch to stable version\";\n  button.onclick = checkPageExistsAndRedirect;\n  close_btn.classList = \"ms-3 my-1 align-baseline\";\n  const close_x = document.createElement(\"i\");\n  close_btn.append(close_x);\n  close_x.classList = \"fa-solid fa-xmark\";\n  close_btn.onclick = DismissBannerAndStorePref;\n  // add the version-dependent text\n  inner.innerText = \"This is documentation for \";\n  const isDev =\n    version.includes(\"dev\") ||\n    version.includes(\"rc\") ||\n    version.includes(\"pre\");\n  const newerThanPreferred =\n    versionsAreComparable && compare(version, preferredVersion, \">\");\n  if (isDev || newerThanPreferred) {\n    bold.innerText = \"an unstable development version\";\n  } else if (versionsAreComparable && compare(version, preferredVersion, \"<\")) {\n    bold.innerText = `an old version (${version})`;\n  } else if (!version) {\n    bold.innerText = \"an unknown version\"; // e.g., an empty string\n  } else {\n    bold.innerText = `version ${version}`;\n  }\n  banner.appendChild(middle);\n  banner.append(close_btn);\n  middle.appendChild(inner);\n  inner.appendChild(bold);\n  inner.appendChild(document.createTextNode(\".\"));\n  inner.appendChild(button);\n  banner.classList.remove(\"d-none\");\n}\n\n/*******************************************************************************\n * MutationObserver to move the ReadTheDocs button\n */\n\n/**\n * intercept the RTD flyout and place it in the rtd-footer-container if existing\n * if not it stays where on top of the page\n */\nfunction initRTDObserver() {\n  const mutatedCallback = (mutationList, observer) => {\n    mutationList.forEach((mutation) => {\n      // Check whether the mutation is for RTD, which will have a specific structure\n      if (mutation.addedNodes.length === 0) {\n        return;\n      }\n      if (mutation.addedNodes[0].data === undefined) {\n        return;\n      }\n      if (mutation.addedNodes[0].data.search(\"Inserted RTD Footer\") != -1) {\n        mutation.addedNodes.forEach((node) => {\n          document.getElementById(\"rtd-footer-container\").append(node);\n        });\n      }\n    });\n  };\n\n  const observer = new MutationObserver(mutatedCallback);\n  const config = { childList: true };\n  observer.observe(document.body, config);\n}\n\nasync function fetchAndUseVersions() {\n  // fetch the JSON version data (only once), then use it to populate the version\n  // switcher and maybe show the version warning bar\n  var versionSwitcherBtns = document.querySelectorAll(\n    \".version-switcher__button\",\n  );\n  const hasSwitcherMenu = versionSwitcherBtns.length > 0;\n  const hasVersionsJSON = DOCUMENTATION_OPTIONS.hasOwnProperty(\n    \"theme_switcher_json_url\",\n  );\n  const wantsWarningBanner = DOCUMENTATION_OPTIONS.show_version_warning_banner;\n\n  if (hasVersionsJSON && (hasSwitcherMenu || wantsWarningBanner)) {\n    const data = await fetchVersionSwitcherJSON(\n      DOCUMENTATION_OPTIONS.theme_switcher_json_url,\n    );\n    // TODO: remove the `if(data)` once the `return null` is fixed within fetchVersionSwitcherJSON.\n    // We don't really want the switcher and warning bar to silently not work.\n    if (data) {\n      populateVersionSwitcher(data, versionSwitcherBtns);\n      if (wantsWarningBanner) {\n        showVersionWarningBanner(data);\n      }\n    }\n  }\n}\n\n/*******************************************************************************\n * Add keyboard functionality to mobile sidebars.\n *\n * Wire up the hamburger-style buttons using the click event which (on buttons)\n * handles both mouse clicks and the space and enter keys.\n */\nfunction setupMobileSidebarKeyboardHandlers() {\n  // These are hidden checkboxes at the top of the page whose :checked property\n  // allows the mobile sidebars to be hidden or revealed via CSS.\n  const primaryToggle = document.getElementById(\"pst-primary-sidebar-checkbox\");\n  const secondaryToggle = document.getElementById(\n    \"pst-secondary-sidebar-checkbox\",\n  );\n  const primarySidebar = document.querySelector(\".bd-sidebar-primary\");\n  const secondarySidebar = document.querySelector(\".bd-sidebar-secondary\");\n\n  // Toggle buttons -\n  //\n  // These are the hamburger-style buttons in the header nav bar. When the user\n  // clicks, the button transmits the click to the hidden checkboxes used by the\n  // CSS to control whether the sidebar is open or closed.\n  const primaryClickTransmitter = document.querySelector(\".primary-toggle\");\n  const secondaryClickTransmitter = document.querySelector(\".secondary-toggle\");\n  [\n    [primaryClickTransmitter, primaryToggle, primarySidebar],\n    [secondaryClickTransmitter, secondaryToggle, secondarySidebar],\n  ].forEach(([clickTransmitter, toggle, sidebar]) => {\n    if (!clickTransmitter) {\n      return;\n    }\n    clickTransmitter.addEventListener(\"click\", (event) => {\n      event.preventDefault();\n      event.stopPropagation();\n      toggle.checked = !toggle.checked;\n\n      // If we are opening the sidebar, move focus to the first focusable item\n      // in the sidebar\n      if (toggle.checked) {\n        // Note: this selector is not exhaustive, and we may need to update it\n        // in the future\n        const tabStop = sidebar.querySelector(\"a, button\");\n        // use setTimeout because you cannot move focus synchronously during a\n        // click in the handler for the click event\n        setTimeout(() => tabStop.focus(), 100);\n      }\n    });\n  });\n\n  // Escape key -\n  //\n  // When sidebar is open, user should be able to press escape key to close the\n  // sidebar.\n  [\n    [primarySidebar, primaryToggle, primaryClickTransmitter],\n    [secondarySidebar, secondaryToggle, secondaryClickTransmitter],\n  ].forEach(([sidebar, toggle, transmitter]) => {\n    if (!sidebar) {\n      return;\n    }\n    sidebar.addEventListener(\"keydown\", (event) => {\n      if (event.key === \"Escape\") {\n        event.preventDefault();\n        event.stopPropagation();\n        toggle.checked = false;\n        transmitter.focus();\n      }\n    });\n  });\n\n  // When the <label> overlay is clicked to close the sidebar, return focus to\n  // the opener button in the nav bar.\n  [\n    [primaryToggle, primaryClickTransmitter],\n    [secondaryToggle, secondaryClickTransmitter],\n  ].forEach(([toggle, transmitter]) => {\n    toggle.addEventListener(\"change\", (event) => {\n      if (!event.currentTarget.checked) {\n        transmitter.focus();\n      }\n    });\n  });\n}\n\n/**\n * When the page loads, or the window resizes, or descendant nodes are added or\n * removed from the main element, check all code blocks and Jupyter notebook\n * outputs, and for each one that has scrollable overflow, set tabIndex = 0.\n */\nfunction addTabStopsToScrollableElements() {\n  const updateTabStops = () => {\n    document\n      .querySelectorAll(\n        \"pre, \" + // code blocks\n          \".nboutput > .output_area, \" + // NBSphinx notebook output\n          \".cell_output > .output, \" + // Myst-NB\n          \".jp-RenderedHTMLCommon\", // ipywidgets\n      )\n      .forEach((el) => {\n        el.tabIndex =\n          el.scrollWidth > el.clientWidth || el.scrollHeight > el.clientHeight\n            ? 0\n            : -1;\n      });\n  };\n  const debouncedUpdateTabStops = debounce(updateTabStops, 300);\n\n  // On window resize\n  window.addEventListener(\"resize\", debouncedUpdateTabStops);\n\n  // The following MutationObserver is for ipywidgets, which take some time to\n  // finish loading and rendering on the page (so even after the \"load\" event is\n  // fired, they still have not finished rendering). 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(!pstAnnouncementUrl) {\n    return;\n  }\n\n  try {\n    const response = await fetch(pstAnnouncementUrl);\n    if (!response.ok) {\n      throw new Error(\n        `[PST]: HTTP response status not ok: ${response.status} ${response.statusText}`,\n      );\n    }\n    const data = await response.text();\n    if (data.length === 0) {\n      console.log(`[PST]: Empty announcement at: ${pstAnnouncementUrl}`);\n      return;\n    }\n    banner.innerHTML = `<div class=\"bd-header-announcement__content\">${data}</div>`;\n    banner.classList.remove(\"d-none\");\n  } catch (_error) {\n    console.log(`[PST]: Failed to load announcement at: ${pstAnnouncementUrl}`);\n    console.error(_error);\n  }\n}\n\n/*******************************************************************************\n * Reveal (and animate) the banners (version warning, announcement) together\n */\nasync function fetchRevealBannersTogether() {\n  // Wait until finished fetching and loading banners\n  await 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\ No newline at end of file
diff --git a/_static/scripts/sphinx-book-theme.js b/_static/scripts/sphinx-book-theme.js
index be9fa44..481ba0c 100644
--- a/_static/scripts/sphinx-book-theme.js
+++ b/_static/scripts/sphinx-book-theme.js
@@ -1,2 +1,2 @@
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diff --git a/_static/scripts/sphinx-book-theme.js.map b/_static/scripts/sphinx-book-theme.js.map
index b8abcf8..2cc145a 100644
--- a/_static/scripts/sphinx-book-theme.js.map
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Add a `scrolled` class to <body> to trigger CSS changes.\n */\nvar initTocHide = () => {\n  var onScreenItems = [];\n  let hideTocCallback = (entries, observer) => {\n    // Check whether any sidebar item is displayed\n    entries.forEach((entry) => {\n      if (entry.isIntersecting) {\n        // If an element just came on screen, add it our list\n        onScreenItems.push(entry.target);\n      } else {\n        // Otherwise, if it's in our list then remove it\n        for (let ii = 0; ii < onScreenItems.length; ii++) {\n          if (onScreenItems[ii] === entry.target) {\n            onScreenItems.splice(ii, 1);\n            break;\n          }\n        }\n      }\n    });\n\n    // Hide the TOC if any margin content is displayed on the screen\n    if (onScreenItems.length > 0) {\n      document.querySelector(\"div.bd-sidebar-secondary\").classList.add(\"hide\");\n    } else {\n      document\n        .querySelector(\"div.bd-sidebar-secondary\")\n        .classList.remove(\"hide\");\n    }\n  };\n  let manageScrolledClassOnBody = (entries, observer) => {\n    // The pixel is at the top, so if we're < 0 that it means we've scrolled\n    if (entries[0].boundingClientRect.y < 0) {\n      document.body.classList.add(\"scrolled\");\n    } else {\n      document.body.classList.remove(\"scrolled\");\n    }\n  };\n\n  // Set up the intersection observer to watch all margin content\n  let options = {\n    // Trigger callback when the top of a margin item is 1/3 up the screen\n    rootMargin: \"0px 0px -33% 0px\",\n  };\n  let tocObserver = new IntersectionObserver(hideTocCallback, options);\n  // TODO: deprecate popout after v0.5.0\n  const selectorClasses = [\n    \"marginnote\",\n    \"sidenote\",\n    \"margin\",\n    \"margin-caption\",\n    \"full-width\",\n    \"sidebar\",\n    \"popout\",\n  ];\n  let marginSelector = [];\n  selectorClasses.forEach((ii) => {\n    // Use three permutations of each class name because `tag_` and `_` used to be supported\n    marginSelector.push(\n      ...[\n        `.${ii}`,\n        `.tag_${ii}`,\n        `.${ii.replace(\"-\", \"_\")}`,\n        `.tag_${ii.replace(\"-\", \"_\")}`,\n      ],\n    );\n  });\n  document.querySelectorAll(marginSelector.join(\", \")).forEach((ii) => {\n    tocObserver.observe(ii);\n  });\n\n  // Set up the observer to check if we've scrolled from top of page\n  let scrollObserver = new IntersectionObserver(manageScrolledClassOnBody);\n  scrollObserver.observe(document.querySelector(\".sbt-scroll-pixel-helper\"));\n};\n\n/**\n * Activate Thebe with a custom button click.\n */\nvar initThebeSBT = () => {\n  var title = document.querySelector(\"section h1\");\n  var sibling = title.nextElementSibling;\n  // If the next element after the title isn't a thebe button, add one now.\n  // That way it is initiatlized when thebe is first-clicked and isn't re-added after.\n  if (!sibling.classList.contains(\"thebe-launch-button\")) {\n    title.insertAdjacentHTML(\n      \"afterend\",\n      \"<button class='thebe-launch-button'></button>\",\n    );\n  }\n  // This function is provided by sphinx-thebe\n  initThebe();\n};\n\n/**\n * Add no print class to certain DOM elements\n */\n\nfunction addNoPrint() {\n  var noPrintSelector = [\n    \".bd-header-announcement\",\n    \".bd-header\",\n    \".bd-header-article\",\n    \".bd-sidebar-primary\",\n    \".bd-sidebar-secondary\",\n    \".bd-footer-article\",\n    \".bd-footer-content\",\n    \".bd-footer\",\n  ].join(\",\");\n  document.querySelectorAll(noPrintSelector).forEach((ii) => {\n    ii.classList.add(\"noprint\");\n  });\n}\n\n/**\n * Set up callback functions for UI click actions\n */\nwindow.initThebeSBT = initThebeSBT;\nwindow.toggleFullScreen = toggleFullScreen;\n\n/**\n * Set up functions to load when the DOM is ready\n */\nsbRunWhenDOMLoaded(initTocHide);\nsbRunWhenDOMLoaded(addNoPrint);\n"],"names":["sbRunWhenDOMLoaded","cb","document","readyState","addEventListener","attachEvent","window","initThebeSBT","title","querySelector","nextElementSibling","classList","contains","insertAdjacentHTML","initThebe","toggleFullScreen","isInFullScreen","fullscreenElement","webkitFullscreenElement","docElm","documentElement","console","log","exitFullscreen","webkitExitFullscreen","requestFullscreen","webkitRequestFullscreen","onScreenItems","tocObserver","IntersectionObserver","entries","observer","forEach","entry","isIntersecting","push","target","ii","length","splice","add","remove","rootMargin","marginSelector","replace","querySelectorAll","join","observe","boundingClientRect","y","body","noPrintSelector"],"sourceRoot":""}
\ No newline at end of file
diff --git a/_static/searchtools.js b/_static/searchtools.js
index 0a44e85..92da3f8 100644
--- a/_static/searchtools.js
+++ b/_static/searchtools.js
@@ -4,22 +4,24 @@
  *
  * Sphinx JavaScript utilities for the full-text search.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
+"use strict";
 
-if (!Scorer) {
-  /**
-   * Simple result scoring code.
-   */
+/**
+ * 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 [filename, title, anchor, descr, score]
+    // The function takes a result array [docname, title, anchor, descr, score, filename]
     // and returns the new score.
     /*
-    score: function(result) {
-      return result[4];
+    score: result => {
+      const [docname, title, anchor, descr, score, filename] = result
+      return score
     },
     */
 
@@ -28,9 +30,11 @@ if (!Scorer) {
     // 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
+    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,
 
@@ -39,452 +43,548 @@ if (!Scorer) {
     partialTitle: 7,
     // query found in terms
     term: 5,
-    partialTerm: 2
+    partialTerm: 2,
   };
 }
 
-if (!splitQuery) {
-  function splitQuery(query) {
-    return query.split(/\s+/);
+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, "\\$&"); // $& means the whole matched string
+
+const _displayItem = (item, searchTerms, highlightTerms) => {
+  const docBuilder = DOCUMENTATION_OPTIONS.BUILDER;
+  const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX;
+  const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX;
+  const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY;
+  const contentRoot = document.documentElement.dataset.content_root;
+
+  const [docName, title, anchor, descr, score, _filename] = item;
+
+  let listItem = document.createElement("li");
+  let requestUrl;
+  let linkUrl;
+  if (docBuilder === "dirhtml") {
+    // dirhtml builder
+    let dirname = docName + "/";
+    if (dirname.match(/\/index\/$/))
+      dirname = dirname.substring(0, dirname.length - 6);
+    else if (dirname === "index/") dirname = "";
+    requestUrl = contentRoot + dirname;
+    linkUrl = requestUrl;
+  } else {
+    // normal html builders
+    requestUrl = contentRoot + docName + docFileSuffix;
+    linkUrl = docName + docLinkSuffix;
+  }
+  let linkEl = listItem.appendChild(document.createElement("a"));
+  linkEl.href = linkUrl + anchor;
+  linkEl.dataset.score = score;
+  linkEl.innerHTML = title;
+  if (descr) {
+    listItem.appendChild(document.createElement("span")).innerHTML =
+      " (" + descr + ")";
+    // highlight search terms in the description
+    if (SPHINX_HIGHLIGHT_ENABLED)  // set in sphinx_highlight.js
+      highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
   }
+  else if (showSearchSummary)
+    fetch(requestUrl)
+      .then((responseData) => responseData.text())
+      .then((data) => {
+        if (data)
+          listItem.appendChild(
+            Search.makeSearchSummary(data, searchTerms, anchor)
+          );
+        // highlight search terms in the summary
+        if (SPHINX_HIGHLIGHT_ENABLED)  // set in sphinx_highlight.js
+          highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
+      });
+  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 ${resultCount} page(s) matching the search query."
+    ).replace('${resultCount}', resultCount);
+};
+const _displayNextItem = (
+  results,
+  resultCount,
+  searchTerms,
+  highlightTerms,
+) => {
+  // results left, load the summary and display it
+  // this is intended to be dynamic (don't sub resultsCount)
+  if (results.length) {
+    _displayItem(results.pop(), searchTerms, highlightTerms);
+    setTimeout(
+      () => _displayNextItem(results, resultCount, searchTerms, highlightTerms),
+      5
+    );
+  }
+  // search finished, update title and status message
+  else _finishSearch(resultCount);
+};
+// Helper function used by query() to order search results.
+// Each input is an array of [docname, title, anchor, descr, score, filename].
+// Order the results by score (in opposite order of appearance, since the
+// `_displayNextItem` function uses pop() to retrieve items) and then alphabetically.
+const _orderResultsByScoreThenName = (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;
+};
+
+/**
+ * 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
  */
-var Search = {
-
-  _index : null,
-  _queued_query : null,
-  _pulse_status : -1,
-
-  htmlToText : function(htmlString) {
-      var virtualDocument = document.implementation.createHTMLDocument('virtual');
-      var htmlElement = $(htmlString, virtualDocument);
-      htmlElement.find('.headerlink').remove();
-      docContent = htmlElement.find('[role=main]')[0];
-      if(docContent === undefined) {
-          console.warn("Content block not found. Sphinx search tries to obtain it " +
-                       "via '[role=main]'. Could you check your theme or template.");
-          return "";
-      }
-      return docContent.textContent || docContent.innerText;
-  },
+const Search = {
+  _index: null,
+  _queued_query: null,
+  _pulse_status: -1,
+
+  htmlToText: (htmlString, anchor) => {
+    const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html');
+    for (const removalQuery of [".headerlinks", "script", "style"]) {
+      htmlElement.querySelectorAll(removalQuery).forEach((el) => { el.remove() });
+    }
+    if (anchor) {
+      const anchorContent = htmlElement.querySelector(`[role="main"] ${anchor}`);
+      if (anchorContent) return anchorContent.textContent;
 
-  init : function() {
-      var params = $.getQueryParameters();
-      if (params.q) {
-          var query = params.q[0];
-          $('input[name="q"]')[0].value = query;
-          this.performSearch(query);
-      }
+      console.warn(
+        `Anchored content block not found. Sphinx search tries to obtain it via DOM query '[role=main] ${anchor}'. Check your theme or template.`
+      );
+    }
+
+    // if anchor not specified or not found, fall back to main content
+    const docContent = htmlElement.querySelector('[role="main"]');
+    if (docContent) return docContent.textContent;
+
+    console.warn(
+      "Content block not found. Sphinx search tries to obtain it via DOM query '[role=main]'. Check your theme or template."
+    );
+    return "";
   },
 
-  loadIndex : function(url) {
-    $.ajax({type: "GET", url: url, data: null,
-            dataType: "script", cache: true,
-            complete: function(jqxhr, textstatus) {
-              if (textstatus != "success") {
-                document.getElementById("searchindexloader").src = url;
-              }
-            }});
+  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);
   },
 
-  setIndex : function(index) {
-    var q;
-    this._index = index;
-    if ((q = this._queued_query) !== null) {
-      this._queued_query = null;
-      Search.query(q);
+  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 : function() {
-      return this._index !== null;
-  },
+  hasIndex: () => Search._index !== null,
 
-  deferQuery : function(query) {
-      this._queued_query = query;
-  },
+  deferQuery: (query) => (Search._queued_query = query),
 
-  stopPulse : function() {
-      this._pulse_status = 0;
-  },
+  stopPulse: () => (Search._pulse_status = -1),
 
-  startPulse : function() {
-    if (this._pulse_status >= 0)
-        return;
-    function pulse() {
-      var i;
+  startPulse: () => {
+    if (Search._pulse_status >= 0) return;
+
+    const pulse = () => {
       Search._pulse_status = (Search._pulse_status + 1) % 4;
-      var dotString = '';
-      for (i = 0; i < Search._pulse_status; i++)
-        dotString += '.';
-      Search.dots.text(dotString);
-      if (Search._pulse_status > -1)
-        window.setTimeout(pulse, 500);
-    }
+      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 : function(query) {
+  performSearch: (query) => {
     // create the required interface elements
-    this.out = $('#search-results');
-    this.title = $('<h2>' + _('Searching') + '</h2>').appendTo(this.out);
-    this.dots = $('<span></span>').appendTo(this.title);
-    this.status = $('<p class="search-summary">&nbsp;</p>').appendTo(this.out);
-    this.output = $('<ul class="search"/>').appendTo(this.out);
-
-    $('#search-progress').text(_('Preparing search...'));
-    this.startPulse();
+    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 (this.hasIndex())
-      this.query(query);
-    else
-      this.deferQuery(query);
+    if (Search.hasIndex()) Search.query(query);
+    else Search.deferQuery(query);
   },
 
-  /**
-   * execute search (requires search index to be loaded)
-   */
-  query : function(query) {
-    var i;
-
-    // stem the searchterms and add them to the correct list
-    var stemmer = new Stemmer();
-    var searchterms = [];
-    var excluded = [];
-    var hlterms = [];
-    var tmp = splitQuery(query);
-    var objectterms = [];
-    for (i = 0; i < tmp.length; i++) {
-      if (tmp[i] !== "") {
-          objectterms.push(tmp[i].toLowerCase());
-      }
+  _parseQuery: (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;
 
-      if ($u.indexOf(stopwords, tmp[i].toLowerCase()) != -1 || tmp[i] === "") {
-        // skip this "word"
-        continue;
-      }
       // stem the word
-      var word = stemmer.stemWord(tmp[i].toLowerCase());
-      var toAppend;
+      let word = stemmer.stemWord(queryTermLower);
       // select the correct list
-      if (word[0] == '-') {
-        toAppend = excluded;
-        word = word.substr(1);
-      }
+      if (word[0] === "-") excludedTerms.add(word.substr(1));
       else {
-        toAppend = searchterms;
-        hlterms.push(tmp[i].toLowerCase());
+        searchTerms.add(word);
+        highlightTerms.add(queryTermLower);
       }
-      // only add if not already in the list
-      if (!$u.contains(toAppend, word))
-        toAppend.push(word);
+    });
+
+    if (SPHINX_HIGHLIGHT_ENABLED) {  // set in sphinx_highlight.js
+      localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" "))
     }
-    var highlightstring = '?highlight=' + $.urlencode(hlterms.join(" "));
 
-    // console.debug('SEARCH: searching for:');
-    // console.info('required: ', searchterms);
-    // console.info('excluded: ', excluded);
+    // console.debug("SEARCH: searching for:");
+    // console.info("required: ", [...searchTerms]);
+    // console.info("excluded: ", [...excludedTerms]);
 
-    // prepare search
-    var terms = this._index.terms;
-    var titleterms = this._index.titleterms;
+    return [query, searchTerms, excludedTerms, highlightTerms, objectTerms];
+  },
 
-    // array of [filename, title, anchor, descr, score]
-    var results = [];
-    $('#search-progress').empty();
+  /**
+   * execute search (requires search index to be loaded)
+   */
+  _performSearch: (query, searchTerms, excludedTerms, highlightTerms, objectTerms) => {
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const titles = Search._index.titles;
+    const allTitles = Search._index.alltitles;
+    const indexEntries = Search._index.indexentries;
+
+    // Collect multiple result groups to be sorted separately and then ordered.
+    // Each is an array of [docname, title, anchor, descr, score, filename].
+    const normalResults = [];
+    const nonMainIndexResults = [];
+
+    _removeChildren(document.getElementById("search-progress"));
+
+    const queryLower = query.toLowerCase().trim();
+    for (const [title, foundTitles] of Object.entries(allTitles)) {
+      if (title.toLowerCase().trim().includes(queryLower) && (queryLower.length >= title.length/2)) {
+        for (const [file, id] of foundTitles) {
+          let score = Math.round(100 * queryLower.length / title.length)
+          normalResults.push([
+            docNames[file],
+            titles[file] !== title ? `${titles[file]} > ${title}` : title,
+            id !== null ? "#" + id : "",
+            null,
+            score,
+            filenames[file],
+          ]);
+        }
+      }
+    }
 
-    // lookup as object
-    for (i = 0; i < objectterms.length; i++) {
-      var others = [].concat(objectterms.slice(0, i),
-                             objectterms.slice(i+1, objectterms.length));
-      results = results.concat(this.performObjectSearch(objectterms[i], others));
+    // search for explicit entries in index directives
+    for (const [entry, foundEntries] of Object.entries(indexEntries)) {
+      if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) {
+        for (const [file, id, isMain] of foundEntries) {
+          const score = Math.round(100 * queryLower.length / entry.length);
+          const result = [
+            docNames[file],
+            titles[file],
+            id ? "#" + id : "",
+            null,
+            score,
+            filenames[file],
+          ];
+          if (isMain) {
+            normalResults.push(result);
+          } else {
+            nonMainIndexResults.push(result);
+          }
+        }
+      }
     }
 
+    // lookup as object
+    objectTerms.forEach((term) =>
+      normalResults.push(...Search.performObjectSearch(term, objectTerms))
+    );
+
     // lookup as search terms in fulltext
-    results = results.concat(this.performTermsSearch(searchterms, excluded, terms, titleterms));
+    normalResults.push(...Search.performTermsSearch(searchTerms, excludedTerms));
 
     // let the scorer override scores with a custom scoring function
     if (Scorer.score) {
-      for (i = 0; i < results.length; i++)
-        results[i][4] = Scorer.score(results[i]);
+      normalResults.forEach((item) => (item[4] = Scorer.score(item)));
+      nonMainIndexResults.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(function(a, b) {
-      var left = a[4];
-      var right = b[4];
-      if (left > right) {
-        return 1;
-      } else if (left < right) {
-        return -1;
-      } else {
-        // same score: sort alphabetically
-        left = a[1].toLowerCase();
-        right = b[1].toLowerCase();
-        return (left > right) ? -1 : ((left < right) ? 1 : 0);
+    // Sort each group of results by score and then alphabetically by name.
+    normalResults.sort(_orderResultsByScoreThenName);
+    nonMainIndexResults.sort(_orderResultsByScoreThenName);
+
+    // Combine the result groups in (reverse) order.
+    // Non-main index entries are typically arbitrary cross-references,
+    // so display them after other results.
+    let results = [...nonMainIndexResults, ...normalResults];
+
+    // 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;
+    }, []);
+
+    return results.reverse();
+  },
+
+  query: (query) => {
+    const [searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms] = Search._parseQuery(query);
+    const results = Search._performSearch(searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms);
 
     // for debugging
     //Search.lastresults = results.slice();  // a copy
-    //console.info('search results:', Search.lastresults);
+    // console.info("search results:", Search.lastresults);
 
     // print the results
-    var resultCount = results.length;
-    function displayNextItem() {
-      // results left, load the summary and display it
-      if (results.length) {
-        var item = results.pop();
-        var listItem = $('<li></li>');
-        var requestUrl = "";
-        var linkUrl = "";
-        if (DOCUMENTATION_OPTIONS.BUILDER === 'dirhtml') {
-          // dirhtml builder
-          var dirname = item[0] + '/';
-          if (dirname.match(/\/index\/$/)) {
-            dirname = dirname.substring(0, dirname.length-6);
-          } else if (dirname == 'index/') {
-            dirname = '';
-          }
-          requestUrl = DOCUMENTATION_OPTIONS.URL_ROOT + dirname;
-          linkUrl = requestUrl;
-
-        } else {
-          // normal html builders
-          requestUrl = DOCUMENTATION_OPTIONS.URL_ROOT + item[0] + DOCUMENTATION_OPTIONS.FILE_SUFFIX;
-          linkUrl = item[0] + DOCUMENTATION_OPTIONS.LINK_SUFFIX;
-        }
-        listItem.append($('<a/>').attr('href',
-            linkUrl +
-            highlightstring + item[2]).html(item[1]));
-        if (item[3]) {
-          listItem.append($('<span> (' + item[3] + ')</span>'));
-          Search.output.append(listItem);
-          setTimeout(function() {
-            displayNextItem();
-          }, 5);
-        } else if (DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY) {
-          $.ajax({url: requestUrl,
-                  dataType: "text",
-                  complete: function(jqxhr, textstatus) {
-                    var data = jqxhr.responseText;
-                    if (data !== '' && data !== undefined) {
-                      var summary = Search.makeSearchSummary(data, searchterms, hlterms);
-                      if (summary) {
-                        listItem.append(summary);
-                      }
-                    }
-                    Search.output.append(listItem);
-                    setTimeout(function() {
-                      displayNextItem();
-                    }, 5);
-                  }});
-        } else {
-          // just display title
-          Search.output.append(listItem);
-          setTimeout(function() {
-            displayNextItem();
-          }, 5);
-        }
-      }
-      // search finished, update title and status message
-      else {
-        Search.stopPulse();
-        Search.title.text(_('Search Results'));
-        if (!resultCount)
-          Search.status.text(_('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.text(_('Search finished, found %s page(s) matching the search query.').replace('%s', resultCount));
-        Search.status.fadeIn(500);
-      }
-    }
-    displayNextItem();
+    _displayNextItem(results, results.length, searchTerms, highlightTerms);
   },
 
   /**
    * search for object names
    */
-  performObjectSearch : function(object, otherterms) {
-    var filenames = this._index.filenames;
-    var docnames = this._index.docnames;
-    var objects = this._index.objects;
-    var objnames = this._index.objnames;
-    var titles = this._index.titles;
-
-    var i;
-    var results = [];
-
-    for (var prefix in objects) {
-      for (var iMatch = 0; iMatch != objects[prefix].length; ++iMatch) {
-        var match = objects[prefix][iMatch];
-        var name = match[4];
-        var fullname = (prefix ? prefix + '.' : '') + name;
-        var fullnameLower = fullname.toLowerCase()
-        if (fullnameLower.indexOf(object) > -1) {
-          var score = 0;
-          var 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[parts.length - 1] == object) {
-            score += Scorer.objNameMatch;
-          // matches in last name
-          } else if (parts[parts.length - 1].indexOf(object) > -1) {
-            score += Scorer.objPartialMatch;
-          }
-          var objname = objnames[match[1]][2];
-          var title = titles[match[0]];
-          // If more than one term searched for, we require other words to be
-          // found in the name/title/description
-          if (otherterms.length > 0) {
-            var haystack = (prefix + ' ' + name + ' ' +
-                            objname + ' ' + title).toLowerCase();
-            var allfound = true;
-            for (i = 0; i < otherterms.length; i++) {
-              if (haystack.indexOf(otherterms[i]) == -1) {
-                allfound = false;
-                break;
-              }
-            }
-            if (!allfound) {
-              continue;
-            }
-          }
-          var descr = objname + _(', in ') + title;
-
-          var anchor = match[3];
-          if (anchor === '')
-            anchor = fullname;
-          else if (anchor == '-')
-            anchor = objnames[match[1]][1] + '-' + fullname;
-          // 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]]]);
-        }
+  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;
   },
 
-  /**
-   * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions
-   */
-  escapeRegExp : function(string) {
-    return string.replace(/[.*+\-?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string
-  },
-
   /**
    * search for full-text terms in the index
    */
-  performTermsSearch : function(searchterms, excluded, terms, titleterms) {
-    var docnames = this._index.docnames;
-    var filenames = this._index.filenames;
-    var titles = this._index.titles;
+  performTermsSearch: (searchTerms, excludedTerms) => {
+    // prepare search
+    const terms = Search._index.terms;
+    const titleTerms = Search._index.titleterms;
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const titles = Search._index.titles;
 
-    var i, j, file;
-    var fileMap = {};
-    var scoreMap = {};
-    var results = [];
+    const scoreMap = new Map();
+    const fileMap = new Map();
 
     // perform the search on the required terms
-    for (i = 0; i < searchterms.length; i++) {
-      var word = searchterms[i];
-      var files = [];
-      var _o = [
-        {files: terms[word], score: Scorer.term},
-        {files: titleterms[word], score: Scorer.title}
+    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) {
-        var word_regex = this.escapeRegExp(word);
-        for (var w in terms) {
-          if (w.match(word_regex) && !terms[word]) {
-            _o.push({files: terms[w], score: Scorer.partialTerm})
-          }
+        const escapedWord = _escapeRegExp(word);
+        if (!terms.hasOwnProperty(word)) {
+          Object.keys(terms).forEach((term) => {
+            if (term.match(escapedWord))
+              arr.push({ files: terms[term], score: Scorer.partialTerm });
+          });
         }
-        for (var w in titleterms) {
-          if (w.match(word_regex) && !titleterms[word]) {
-              _o.push({files: titleterms[w], score: Scorer.partialTitle})
-          }
+        if (!titleTerms.hasOwnProperty(word)) {
+          Object.keys(titleTerms).forEach((term) => {
+            if (term.match(escapedWord))
+              arr.push({ files: titleTerms[term], score: Scorer.partialTitle });
+          });
         }
       }
 
       // no match but word was a required one
-      if ($u.every(_o, function(o){return o.files === undefined;})) {
-        break;
-      }
+      if (arr.every((record) => record.files === undefined)) return;
+
       // found search word in contents
-      $u.each(_o, function(o) {
-        var _files = o.files;
-        if (_files === undefined)
-          return
-
-        if (_files.length === undefined)
-          _files = [_files];
-        files = files.concat(_files);
-
-        // set score for the word in each file to Scorer.term
-        for (j = 0; j < _files.length; j++) {
-          file = _files[j];
-          if (!(file in scoreMap))
-            scoreMap[file] = {};
-          scoreMap[file][word] = o.score;
-        }
+      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
-      for (j = 0; j < files.length; j++) {
-        file = files[j];
-        if (file in fileMap && fileMap[file].indexOf(word) === -1)
-          fileMap[file].push(word);
-        else
-          fileMap[file] = [word];
-      }
-    }
+      files.forEach((file) => {
+        if (!fileMap.has(file)) fileMap.set(file, [word]);
+        else if (fileMap.get(file).indexOf(word) === -1) fileMap.get(file).push(word);
+      });
+    });
 
     // now check if the files don't contain excluded terms
-    for (file in fileMap) {
-      var valid = true;
-
+    const results = [];
+    for (const [file, wordList] of fileMap) {
       // check if all requirements are matched
-      var filteredTermCount = // as search terms with length < 3 are discarded: ignore
-        searchterms.filter(function(term){return term.length > 2}).length
+
+      // as search terms with length < 3 are discarded
+      const filteredTermCount = [...searchTerms].filter(
+        (term) => term.length > 2
+      ).length;
       if (
-        fileMap[file].length != searchterms.length &&
-        fileMap[file].length != filteredTermCount
-      ) continue;
+        wordList.length !== searchTerms.size &&
+        wordList.length !== filteredTermCount
+      )
+        continue;
 
       // ensure that none of the excluded terms is in the search result
-      for (i = 0; i < excluded.length; i++) {
-        if (terms[excluded[i]] == file ||
-            titleterms[excluded[i]] == file ||
-            $u.contains(terms[excluded[i]] || [], file) ||
-            $u.contains(titleterms[excluded[i]] || [], file)) {
-          valid = false;
-          break;
-        }
-      }
+      if (
+        [...excludedTerms].some(
+          (term) =>
+            terms[term] === file ||
+            titleTerms[term] === file ||
+            (terms[term] || []).includes(file) ||
+            (titleTerms[term] || []).includes(file)
+        )
+      )
+        break;
 
-      // if we have still a valid result we can add it to the result list
-      if (valid) {
-        // select one (max) score for the file.
-        // for better ranking, we should calculate ranking by using words statistics like basic tf-idf...
-        var score = $u.max($u.map(fileMap[file], function(w){return scoreMap[file][w]}));
-        results.push([docnames[file], titles[file], '', null, score, filenames[file]]);
-      }
+      // 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;
   },
@@ -492,34 +592,28 @@ var Search = {
   /**
    * helper function to return a node containing the
    * search summary for a given text. keywords is a list
-   * of stemmed words, hlwords is the list of normal, unstemmed
-   * words. the first one is used to find the occurrence, the
-   * latter for highlighting it.
+   * of stemmed words.
    */
-  makeSearchSummary : function(htmlText, keywords, hlwords) {
-    var text = Search.htmlToText(htmlText);
-    if (text == "") {
-      return null;
-    }
-    var textLower = text.toLowerCase();
-    var start = 0;
-    $.each(keywords, function() {
-      var i = textLower.indexOf(this.toLowerCase());
-      if (i > -1)
-        start = i;
-    });
-    start = Math.max(start - 120, 0);
-    var excerpt = ((start > 0) ? '...' : '') +
-      $.trim(text.substr(start, 240)) +
-      ((start + 240 - text.length) ? '...' : '');
-    var rv = $('<p class="context"></p>').text(excerpt);
-    $.each(hlwords, function() {
-      rv = rv.highlightText(this, 'highlighted');
-    });
-    return rv;
-  }
+  makeSearchSummary: (htmlText, keywords, anchor) => {
+    const text = Search.htmlToText(htmlText, anchor);
+    if (text === "") return null;
+
+    const textLower = text.toLowerCase();
+    const actualStartPosition = [...keywords]
+      .map((k) => textLower.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("p");
+    summary.classList.add("context");
+    summary.textContent = top + text.substr(startWithContext, 240).trim() + tail;
+
+    return summary;
+  },
 };
 
-$(document).ready(function() {
-  Search.init();
-});
+_ready(Search.init);
diff --git a/_static/sphinx_highlight.js b/_static/sphinx_highlight.js
new file mode 100644
index 0000000..8a96c69
--- /dev/null
+++ b/_static/sphinx_highlight.js
@@ -0,0 +1,154 @@
+/* Highlighting utilities for Sphinx HTML documentation. */
+"use strict";
+
+const SPHINX_HIGHLIGHT_ENABLED = true
+
+/**
+ * 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)));
+      const rest = document.createTextNode(val.substr(pos + text.length));
+      parent.insertBefore(
+        span,
+        parent.insertBefore(
+          rest,
+          node.nextSibling
+        )
+      );
+      node.nodeValue = val.substr(0, pos);
+      /* There may be more occurrences of search term in this node. So call this
+       * function recursively on the remaining fragment.
+       */
+      _highlight(rest, addItems, text, className);
+
+      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 SphinxHighlight = {
+
+  /**
+   * highlight the search words provided in localstorage in the text
+   */
+  highlightSearchWords: () => {
+    if (!SPHINX_HIGHLIGHT_ENABLED) return;  // bail if no highlight
+
+    // get and clear terms from localstorage
+    const url = new URL(window.location);
+    const highlight =
+        localStorage.getItem("sphinx_highlight_terms")
+        || url.searchParams.get("highlight")
+        || "";
+    localStorage.removeItem("sphinx_highlight_terms")
+    url.searchParams.delete("highlight");
+    window.history.replaceState({}, "", url);
+
+    // get individual terms from highlight string
+    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:SphinxHighlight.hideSearchWords()">' +
+            _("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"));
+    localStorage.removeItem("sphinx_highlight_terms")
+  },
+
+  initEscapeListener: () => {
+    // only install a listener if it is really needed
+    if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return;
+
+    document.addEventListener("keydown", (event) => {
+      // bail for input elements
+      if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+      // bail with special keys
+      if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return;
+      if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) {
+        SphinxHighlight.hideSearchWords();
+        event.preventDefault();
+      }
+    });
+  },
+};
+
+_ready(() => {
+  /* Do not call highlightSearchWords() when we are on the search page.
+   * It will highlight words from the *previous* search query.
+   */
+  if (typeof Search === "undefined") SphinxHighlight.highlightSearchWords();
+  SphinxHighlight.initEscapeListener();
+});
diff --git a/_static/styles/bootstrap.css b/_static/styles/bootstrap.css
index 0aa5f54..5ac709f 100644
--- a/_static/styles/bootstrap.css
+++ b/_static/styles/bootstrap.css
@@ -1,6 +1,6 @@
 /*!
- * Bootstrap  v5.2.3 (https://getbootstrap.com/)
- * Copyright 2011-2022 The Bootstrap Authors
- * Copyright 2011-2022 Twitter, Inc.
+ * Bootstrap  v5.3.3 (https://getbootstrap.com/)
+ * Copyright 2011-2024 The Bootstrap Authors
  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
- 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var(--bs-breadcrumb-padding-x)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item:before{color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider,"/");float:left;padding-right:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x:0.75rem;--bs-pagination-padding-y:0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color:var(--bs-link-color);--bs-pagination-bg:#fff;--bs-pagination-border-width:1px;--bs-pagination-border-color:#dee2e6;--bs-pagination-border-radius:0.375rem;--bs-pagination-hover-color:var(--bs-link-hover-color);--bs-pagination-hover-bg:#e9ecef;--bs-pagination-hover-border-color:#dee2e6;--bs-pagination-focus-color:var(--bs-link-hover-color);--bs-pagination-focus-bg:#e9ecef;--bs-pagination-focus-box-shadow:0 0 0 0.25rem rgba(13,110,253,.25);--bs-pagination-active-color:#fff;--bs-pagination-active-bg:#0d6efd;--bs-pagination-active-border-color:#0d6efd;--bs-pagination-disabled-color:#6c757d;--bs-pagination-disabled-bg:#fff;--bs-pagination-disabled-border-color:#dee2e6;display:flex;list-style:none;padding-left:0}.page-link{background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);color:var(--bs-pagination-color);display:block;font-size:var(--bs-pagination-font-size);padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);position:relative;text-decoration:none;transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s 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var(--bs-badge-padding-x);text-align:center;vertical-align:baseline;white-space:nowrap}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg:transparent;--bs-alert-padding-x:1rem;--bs-alert-padding-y:1rem;--bs-alert-margin-bottom:1rem;--bs-alert-color:inherit;--bs-alert-border-color:transparent;--bs-alert-border:1px solid var(--bs-alert-border-color);--bs-alert-border-radius:0.375rem;background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius);color:var(--bs-alert-color);margin-bottom:var(--bs-alert-margin-bottom);padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);position:relative}.alert-heading{color:inherit}.alert-link{font-weight:700}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{padding:1.25rem 1rem;position:absolute;right:0;top:0;z-index:2}.alert-primary{--bs-alert-color:#084298;--bs-alert-bg:#cfe2ff;--bs-alert-border-color:#b6d4fe}.alert-primary 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var(--bs-breadcrumb-padding-x)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item:before{color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider,"/");float:left;padding-right:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x:0.75rem;--bs-pagination-padding-y:0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color:var(--bs-link-color);--bs-pagination-bg:var(--bs-body-bg);--bs-pagination-border-width:var(--bs-border-width);--bs-pagination-border-color:var(--bs-border-color);--bs-pagination-border-radius:var(--bs-border-radius);--bs-pagination-hover-color:var(--bs-link-hover-color);--bs-pagination-hover-bg:var(--bs-tertiary-bg);--bs-pagination-hover-border-color:var(--bs-border-color);--bs-pagination-focus-color:var(--bs-link-hover-color);--bs-pagination-focus-bg:var(--bs-secondary-bg);--bs-pagination-focus-box-shadow:0 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var(--bs-list-group-item-padding-x);position:relative;text-decoration:none}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-left-radius:inherit;border-bottom-right-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{background-color:var(--bs-list-group-disabled-bg);color:var(--bs-list-group-disabled-color);pointer-events:none}.list-group-item.active{background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color);color:var(--bs-list-group-active-color);z-index:2}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{border-top-width:var(--bs-list-group-border-width);margin-top:calc(var(--bs-list-group-border-width)*-1)}.list-group-horizontal{flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}@media(min-width:540px){.list-group-horizontal-sm{flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}@media(min-width:720px){.list-group-horizontal-md{flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-md>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}@media(min-width:960px){.list-group-horizontal-lg{flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}@media(min-width:1200px){.list-group-horizontal-xl{flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 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var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-primary{--bs-list-group-color:var(--bs-primary-text-emphasis);--bs-list-group-bg:var(--bs-primary-bg-subtle);--bs-list-group-border-color:var(--bs-primary-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-primary-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-primary-border-subtle);--bs-list-group-active-color:var(--bs-primary-bg-subtle);--bs-list-group-active-bg:var(--bs-primary-text-emphasis);--bs-list-group-active-border-color:var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color:var(--bs-secondary-text-emphasis);--bs-list-group-bg:var(--bs-secondary-bg-subtle);--bs-list-group-border-color:var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-secondary-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-secondary-border-subtle);--bs-list-group-active-color:var(--bs-secondary-bg-subtle);--bs-list-group-active-bg:var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color:var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color:var(--bs-success-text-emphasis);--bs-list-group-bg:var(--bs-success-bg-subtle);--bs-list-group-border-color:var(--bs-success-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-success-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-success-border-subtle);--bs-list-group-active-color:var(--bs-success-bg-subtle);--bs-list-group-active-bg:var(--bs-success-text-emphasis);--bs-list-group-active-border-color:var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color:var(--bs-info-text-emphasis);--bs-list-group-bg:var(--bs-info-bg-subtle);--bs-list-group-border-color:var(--bs-info-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-info-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-info-border-subtle);--bs-list-group-active-color:var(--bs-info-bg-subtle);--bs-list-group-active-bg:var(--bs-info-text-emphasis);--bs-list-group-active-border-color:var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color:var(--bs-warning-text-emphasis);--bs-list-group-bg:var(--bs-warning-bg-subtle);--bs-list-group-border-color:var(--bs-warning-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-warning-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-warning-border-subtle);--bs-list-group-active-color:var(--bs-warning-bg-subtle);--bs-list-group-active-bg:var(--bs-warning-text-emphasis);--bs-list-group-active-border-color:var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color:var(--bs-danger-text-emphasis);--bs-list-group-bg:var(--bs-danger-bg-subtle);--bs-list-group-border-color:var(--bs-danger-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-danger-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-danger-border-subtle);--bs-list-group-active-color:var(--bs-danger-bg-subtle);--bs-list-group-active-bg:var(--bs-danger-text-emphasis);--bs-list-group-active-border-color:var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color:var(--bs-light-text-emphasis);--bs-list-group-bg:var(--bs-light-bg-subtle);--bs-list-group-border-color:var(--bs-light-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-light-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-light-border-subtle);--bs-list-group-active-color:var(--bs-light-bg-subtle);--bs-list-group-active-bg:var(--bs-light-text-emphasis);--bs-list-group-active-border-color:var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color:var(--bs-dark-text-emphasis);--bs-list-group-bg:var(--bs-dark-bg-subtle);--bs-list-group-border-color:var(--bs-dark-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-dark-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-dark-border-subtle);--bs-list-group-active-color:var(--bs-dark-bg-subtle);--bs-list-group-active-bg:var(--bs-dark-text-emphasis);--bs-list-group-active-border-color:var(--bs-dark-text-emphasis)}.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.modal-body{overflow-y:auto}}.tooltip{--bs-tooltip-zindex:1080;--bs-tooltip-max-width:200px;--bs-tooltip-padding-x:0.5rem;--bs-tooltip-padding-y:0.25rem;--bs-tooltip-margin: ;--bs-tooltip-font-size:0.875rem;--bs-tooltip-color:var(--bs-body-bg);--bs-tooltip-bg:var(--bs-emphasis-color);--bs-tooltip-border-radius:var(--bs-border-radius);--bs-tooltip-opacity:0.9;--bs-tooltip-arrow-width:0.8rem;--bs-tooltip-arrow-height:0.4rem;word-wrap:break-word;display:block;font-family:var(--bs-font-sans-serif);font-size:var(--bs-tooltip-font-size);font-style:normal;font-weight:400;letter-spacing:normal;line-break:auto;line-height:1.5;margin:var(--bs-tooltip-margin);opacity:0;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;white-space:normal;word-break:normal;word-spacing:normal;z-index:var(--bs-tooltip-zindex)}.tooltip.show{opacity:var(--bs-tooltip-opacity)}.tooltip .tooltip-arrow{display:block;height:var(--bs-tooltip-arrow-height);width:var(--bs-tooltip-arrow-width)}.tooltip .tooltip-arrow:before{border-color:transparent;border-style:solid;content:"";position:absolute}.bs-tooltip-auto[data-popper-placement^=top] .tooltip-arrow,.bs-tooltip-top .tooltip-arrow{bottom:calc(var(--bs-tooltip-arrow-height)*-1)}.bs-tooltip-auto[data-popper-placement^=top] .tooltip-arrow:before,.bs-tooltip-top .tooltip-arrow:before{border-top-color:var(--bs-tooltip-bg);border-width:var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width)*.5) 0;top:-1px}.bs-tooltip-auto[data-popper-placement^=right] .tooltip-arrow,.bs-tooltip-end .tooltip-arrow{height:var(--bs-tooltip-arrow-width);left:calc(var(--bs-tooltip-arrow-height)*-1);width:var(--bs-tooltip-arrow-height)}.bs-tooltip-auto[data-popper-placement^=right] .tooltip-arrow:before,.bs-tooltip-end .tooltip-arrow:before{border-right-color:var(--bs-tooltip-bg);border-width:calc(var(--bs-tooltip-arrow-width)*.5) 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0)}.dropdown-item:hover,.dropdown-item:focus{color:var(--bs-dropdown-link-hover-color);background-color:var(--bs-dropdown-link-hover-bg)}.dropdown-item.active,.dropdown-item:active{color:var(--bs-dropdown-link-active-color);text-decoration:none;background-color:var(--bs-dropdown-link-active-bg)}.dropdown-item.disabled,.dropdown-item:disabled{color:var(--bs-dropdown-link-disabled-color);pointer-events:none;background-color:rgba(0,0,0,0)}.dropdown-menu.show{display:block}.dropdown-header{display:block;padding:var(--bs-dropdown-header-padding-y) var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:0.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343a40;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: var(--pst-color-surface);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: var(--pst-color-surface);--bs-dropdown-link-disabled-color: #adb5bd;--bs-dropdown-header-color: #adb5bd}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;flex-wrap:wrap;justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width)*-1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n+3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;align-items:flex-start;justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width)*-1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: 0.5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: 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1.25rem;--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: 0.5rem;--bs-navbar-toggler-padding-y: 0.25rem;--bs-navbar-toggler-padding-x: 0.75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2833, 37, 41, 0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e\");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: 0.1875rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;flex-wrap:wrap;align-items:center;justify-content:space-between;padding:var(--bs-navbar-padding-y) 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.offcanvas-body{display:flex;flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme=dark]{--bs-navbar-color: rgba(255, 255, 255, 0.55);--bs-navbar-hover-color: rgba(255, 255, 255, 0.75);--bs-navbar-disabled-color: rgba(255, 255, 255, 0.25);--bs-navbar-active-color: #fff;--bs-navbar-brand-color: #fff;--bs-navbar-brand-hover-color: #fff;--bs-navbar-toggler-border-color: rgba(255, 255, 255, 0.1);--bs-navbar-toggler-icon-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255, 255, 255, 0.55%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e\")}[data-bs-theme=dark] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255, 255, 255, 0.55%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e\")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: 0.5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: var(--bs-border-width);--bs-card-border-color: var(--bs-border-color-translucent);--bs-card-border-radius: var(--bs-border-radius);--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-card-cap-padding-y: 0.5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: 0.75rem;position:relative;display:flex;flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-0.5*var(--bs-card-title-spacer-y));margin-bottom:0;color:var(--bs-card-subtitle-color)}.card-text:last-child{margin-bottom:0}.card-link+.card-link{margin-left:var(--bs-card-spacer-x)}.card-header{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);margin-bottom:0;color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-bottom:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-header:first-child{border-radius:var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius) 0 0}.card-footer{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-top:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-footer:last-child{border-radius:0 0 var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius)}.card-header-tabs{margin-right:calc(-0.5*var(--bs-card-cap-padding-x));margin-bottom:calc(-1*var(--bs-card-cap-padding-y));margin-left:calc(-0.5*var(--bs-card-cap-padding-x));border-bottom:0}.card-header-tabs .nav-link.active{background-color:var(--bs-card-bg);border-bottom-color:var(--bs-card-bg)}.card-header-pills{margin-right:calc(-0.5*var(--bs-card-cap-padding-x));margin-left:calc(-0.5*var(--bs-card-cap-padding-x))}.card-img-overlay{position:absolute;top:0;right:0;bottom:0;left:0;padding:var(--bs-card-img-overlay-padding);border-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-top,.card-img-bottom{width:100%}.card-img,.card-img-top{border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-bottom{border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card-group>.card{margin-bottom:var(--bs-card-group-margin)}@media(min-width: 540px){.card-group{display:flex;flex-flow:row wrap}.card-group>.card{flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: var(--bs-body-color);--bs-accordion-bg: var(--bs-body-bg);--bs-accordion-transition: color 0.15s ease-in-out, background-color 0.15s ease-in-out, border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out, border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='none' stroke='%23212529' stroke-linecap='round' stroke-linejoin='round'%3e%3cpath d='M2 5L8 11L14 5'/%3e%3c/svg%3e\");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='none' stroke='%23052c65' stroke-linecap='round' stroke-linejoin='round'%3e%3cpath d='M2 5L8 11L14 5'/%3e%3c/svg%3e\");--bs-accordion-btn-focus-box-shadow: 0 0 0 0.1875rem var(--pst-color-accent);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media(prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1*var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:\"\";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media(prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type>.accordion-header .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type>.accordion-header .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type>.accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush>.accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush>.accordion-item:first-child{border-top:0}.accordion-flush>.accordion-item:last-child{border-bottom:0}.accordion-flush>.accordion-item>.accordion-header .accordion-button,.accordion-flush>.accordion-item>.accordion-header .accordion-button.collapsed{border-radius:0}.accordion-flush>.accordion-item>.accordion-collapse{border-radius:0}[data-bs-theme=dark] .accordion-button::after{--bs-accordion-btn-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\");--bs-accordion-btn-active-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: 0.5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, \"/\") /* rtl: var(--bs-breadcrumb-divider, \"/\") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: 0.75rem;--bs-pagination-padding-y: 0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 0.1875rem var(--pst-color-accent);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #0d6efd;--bs-pagination-active-border-color: #0d6efd;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out}@media(prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width)*-1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: 0.75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: 0.5rem;--bs-pagination-padding-y: 0.25rem;--bs-pagination-font-size:0.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: 0.65em;--bs-badge-padding-y: 0.35em;--bs-badge-font-size:0.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:0.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;flex-direction:column;justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media(prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{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);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media(prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: 0.5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #0d6efd;--bs-list-group-active-border-color: 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var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1*var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media(min-width: 540px){.list-group-horizontal-sm{flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 720px){.list-group-horizontal-md{flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 960px){.list-group-horizontal-lg{flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1200px){.list-group-horizontal-xl{flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e\");--bs-btn-close-opacity: 0.5;--bs-btn-close-hover-opacity: 0.75;--bs-btn-close-focus-shadow: 0 0 0 0.1875rem var(--pst-color-accent);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: 0.25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:rgba(0,0,0,0) var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.375rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme=dark] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: 0.75rem;--bs-toast-padding-y: 0.5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:0.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-border-width: var(--bs-border-width);--bs-toast-border-color: var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-0.5*var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: 0.5rem;--bs-modal-color: ;--bs-modal-bg: var(--bs-body-bg);--bs-modal-border-color: var(--bs-border-color-translucent);--bs-modal-border-width: var(--bs-border-width);--bs-modal-border-radius: var(--bs-border-radius-lg);--bs-modal-box-shadow: var(--bs-box-shadow-sm);--bs-modal-inner-border-radius: calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: var(--bs-border-width);--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: 0.5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: var(--bs-border-color);--bs-modal-footer-border-width: var(--bs-border-width);position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform .3s ease-out;transform:translate(0, -50px)}@media(prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static 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0.5;position:fixed;top:0;left:0;z-index:var(--bs-backdrop-zindex);width:100vw;height:100vh;background-color:var(--bs-backdrop-bg)}.modal-backdrop.fade{opacity:0}.modal-backdrop.show{opacity:var(--bs-backdrop-opacity)}.modal-header{display:flex;flex-shrink:0;align-items:center;padding:var(--bs-modal-header-padding);border-bottom:var(--bs-modal-header-border-width) solid var(--bs-modal-header-border-color);border-top-left-radius:var(--bs-modal-inner-border-radius);border-top-right-radius:var(--bs-modal-inner-border-radius)}.modal-header .btn-close{padding:calc(var(--bs-modal-header-padding-y)*.5) calc(var(--bs-modal-header-padding-x)*.5);margin:calc(-0.5*var(--bs-modal-header-padding-y)) calc(-0.5*var(--bs-modal-header-padding-x)) calc(-0.5*var(--bs-modal-header-padding-y)) auto}.modal-title{margin-bottom:0;line-height:var(--bs-modal-title-line-height)}.modal-body{position:relative;flex:1 1 auto;padding:var(--bs-modal-padding)}.modal-footer{display:flex;flex-shrink:0;flex-wrap:wrap;align-items:center;justify-content:flex-end;padding:calc(var(--bs-modal-padding) - var(--bs-modal-footer-gap)*.5);background-color:var(--bs-modal-footer-bg);border-top:var(--bs-modal-footer-border-width) solid var(--bs-modal-footer-border-color);border-bottom-right-radius:var(--bs-modal-inner-border-radius);border-bottom-left-radius:var(--bs-modal-inner-border-radius)}.modal-footer>*{margin:calc(var(--bs-modal-footer-gap)*.5)}@media(min-width: 540px){.modal{--bs-modal-margin: 1.75rem;--bs-modal-box-shadow: var(--bs-box-shadow)}.modal-dialog{max-width:var(--bs-modal-width);margin-right:auto;margin-left:auto}.modal-sm{--bs-modal-width: 300px}}@media(min-width: 960px){.modal-lg,.modal-xl{--bs-modal-width: 800px}}@media(min-width: 1200px){.modal-xl{--bs-modal-width: 1140px}}.modal-fullscreen{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen 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!important}.p-lg-5{padding:3rem !important}.px-lg-0{padding-right:0 !important;padding-left:0 !important}.px-lg-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-lg-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-lg-3{padding-right:1rem !important;padding-left:1rem !important}.px-lg-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-lg-5{padding-right:3rem !important;padding-left:3rem !important}.py-lg-0{padding-top:0 !important;padding-bottom:0 !important}.py-lg-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-lg-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-lg-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-lg-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-lg-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-lg-0{padding-top:0 !important}.pt-lg-1{padding-top:.25rem !important}.pt-lg-2{padding-top:.5rem !important}.pt-lg-3{padding-top:1rem !important}.pt-lg-4{padding-top:1.5rem !important}.pt-lg-5{padding-top:3rem !important}.pe-lg-0{padding-right:0 !important}.pe-lg-1{padding-right:.25rem !important}.pe-lg-2{padding-right:.5rem !important}.pe-lg-3{padding-right:1rem !important}.pe-lg-4{padding-right:1.5rem !important}.pe-lg-5{padding-right:3rem !important}.pb-lg-0{padding-bottom:0 !important}.pb-lg-1{padding-bottom:.25rem !important}.pb-lg-2{padding-bottom:.5rem !important}.pb-lg-3{padding-bottom:1rem !important}.pb-lg-4{padding-bottom:1.5rem !important}.pb-lg-5{padding-bottom:3rem !important}.ps-lg-0{padding-left:0 !important}.ps-lg-1{padding-left:.25rem !important}.ps-lg-2{padding-left:.5rem !important}.ps-lg-3{padding-left:1rem !important}.ps-lg-4{padding-left:1.5rem !important}.ps-lg-5{padding-left:3rem !important}.gap-lg-0{gap:0 !important}.gap-lg-1{gap:.25rem !important}.gap-lg-2{gap:.5rem !important}.gap-lg-3{gap:1rem !important}.gap-lg-4{gap:1.5rem !important}.gap-lg-5{gap:3rem !important}.row-gap-lg-0{row-gap:0 !important}.row-gap-lg-1{row-gap:.25rem !important}.row-gap-lg-2{row-gap:.5rem !important}.row-gap-lg-3{row-gap:1rem !important}.row-gap-lg-4{row-gap:1.5rem !important}.row-gap-lg-5{row-gap:3rem !important}.column-gap-lg-0{column-gap:0 !important}.column-gap-lg-1{column-gap:.25rem !important}.column-gap-lg-2{column-gap:.5rem !important}.column-gap-lg-3{column-gap:1rem !important}.column-gap-lg-4{column-gap:1.5rem !important}.column-gap-lg-5{column-gap:3rem !important}.text-lg-start{text-align:left !important}.text-lg-end{text-align:right !important}.text-lg-center{text-align:center !important}}@media(min-width: 1200px){.float-xl-start{float:left !important}.float-xl-end{float:right !important}.float-xl-none{float:none !important}.object-fit-xl-contain{object-fit:contain !important}.object-fit-xl-cover{object-fit:cover !important}.object-fit-xl-fill{object-fit:fill !important}.object-fit-xl-scale{object-fit:scale-down !important}.object-fit-xl-none{object-fit:none !important}.d-xl-inline{display:inline !important}.d-xl-inline-block{display:inline-block !important}.d-xl-block{display:block !important}.d-xl-grid{display:grid !important}.d-xl-inline-grid{display:inline-grid !important}.d-xl-table{display:table !important}.d-xl-table-row{display:table-row !important}.d-xl-table-cell{display:table-cell !important}.d-xl-flex{display:flex !important}.d-xl-inline-flex{display:inline-flex !important}.d-xl-none{display:none !important}.flex-xl-fill{flex:1 1 auto !important}.flex-xl-row{flex-direction:row !important}.flex-xl-column{flex-direction:column !important}.flex-xl-row-reverse{flex-direction:row-reverse !important}.flex-xl-column-reverse{flex-direction:column-reverse !important}.flex-xl-grow-0{flex-grow:0 !important}.flex-xl-grow-1{flex-grow:1 !important}.flex-xl-shrink-0{flex-shrink:0 !important}.flex-xl-shrink-1{flex-shrink:1 !important}.flex-xl-wrap{flex-wrap:wrap !important}.flex-xl-nowrap{flex-wrap:nowrap !important}.flex-xl-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-xl-start{justify-content:flex-start !important}.justify-content-xl-end{justify-content:flex-end !important}.justify-content-xl-center{justify-content:center !important}.justify-content-xl-between{justify-content:space-between !important}.justify-content-xl-around{justify-content:space-around !important}.justify-content-xl-evenly{justify-content:space-evenly !important}.align-items-xl-start{align-items:flex-start !important}.align-items-xl-end{align-items:flex-end !important}.align-items-xl-center{align-items:center !important}.align-items-xl-baseline{align-items:baseline !important}.align-items-xl-stretch{align-items:stretch !important}.align-content-xl-start{align-content:flex-start !important}.align-content-xl-end{align-content:flex-end !important}.align-content-xl-center{align-content:center !important}.align-content-xl-between{align-content:space-between !important}.align-content-xl-around{align-content:space-around !important}.align-content-xl-stretch{align-content:stretch !important}.align-self-xl-auto{align-self:auto !important}.align-self-xl-start{align-self:flex-start !important}.align-self-xl-end{align-self:flex-end !important}.align-self-xl-center{align-self:center !important}.align-self-xl-baseline{align-self:baseline !important}.align-self-xl-stretch{align-self:stretch !important}.order-xl-first{order:-1 !important}.order-xl-0{order:0 !important}.order-xl-1{order:1 !important}.order-xl-2{order:2 !important}.order-xl-3{order:3 !important}.order-xl-4{order:4 !important}.order-xl-5{order:5 !important}.order-xl-last{order:6 !important}.m-xl-0{margin:0 !important}.m-xl-1{margin:.25rem !important}.m-xl-2{margin:.5rem !important}.m-xl-3{margin:1rem !important}.m-xl-4{margin:1.5rem !important}.m-xl-5{margin:3rem !important}.m-xl-auto{margin:auto !important}.mx-xl-0{margin-right:0 !important;margin-left:0 !important}.mx-xl-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-xl-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-xl-3{margin-right:1rem !important;margin-left:1rem !important}.mx-xl-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-xl-5{margin-right:3rem !important;margin-left:3rem !important}.mx-xl-auto{margin-right:auto !important;margin-left:auto !important}.my-xl-0{margin-top:0 !important;margin-bottom:0 !important}.my-xl-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-xl-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-xl-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-xl-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-xl-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-xl-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-xl-0{margin-top:0 !important}.mt-xl-1{margin-top:.25rem !important}.mt-xl-2{margin-top:.5rem !important}.mt-xl-3{margin-top:1rem !important}.mt-xl-4{margin-top:1.5rem !important}.mt-xl-5{margin-top:3rem !important}.mt-xl-auto{margin-top:auto !important}.me-xl-0{margin-right:0 !important}.me-xl-1{margin-right:.25rem !important}.me-xl-2{margin-right:.5rem !important}.me-xl-3{margin-right:1rem !important}.me-xl-4{margin-right:1.5rem !important}.me-xl-5{margin-right:3rem !important}.me-xl-auto{margin-right:auto !important}.mb-xl-0{margin-bottom:0 !important}.mb-xl-1{margin-bottom:.25rem !important}.mb-xl-2{margin-bottom:.5rem !important}.mb-xl-3{margin-bottom:1rem !important}.mb-xl-4{margin-bottom:1.5rem !important}.mb-xl-5{margin-bottom:3rem !important}.mb-xl-auto{margin-bottom:auto !important}.ms-xl-0{margin-left:0 !important}.ms-xl-1{margin-left:.25rem !important}.ms-xl-2{margin-left:.5rem !important}.ms-xl-3{margin-left:1rem !important}.ms-xl-4{margin-left:1.5rem !important}.ms-xl-5{margin-left:3rem !important}.ms-xl-auto{margin-left:auto !important}.p-xl-0{padding:0 !important}.p-xl-1{padding:.25rem !important}.p-xl-2{padding:.5rem !important}.p-xl-3{padding:1rem !important}.p-xl-4{padding:1.5rem !important}.p-xl-5{padding:3rem !important}.px-xl-0{padding-right:0 !important;padding-left:0 !important}.px-xl-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-xl-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-xl-3{padding-right:1rem !important;padding-left:1rem !important}.px-xl-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-xl-5{padding-right:3rem !important;padding-left:3rem !important}.py-xl-0{padding-top:0 !important;padding-bottom:0 !important}.py-xl-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-xl-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-xl-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-xl-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-xl-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-xl-0{padding-top:0 !important}.pt-xl-1{padding-top:.25rem !important}.pt-xl-2{padding-top:.5rem !important}.pt-xl-3{padding-top:1rem !important}.pt-xl-4{padding-top:1.5rem !important}.pt-xl-5{padding-top:3rem !important}.pe-xl-0{padding-right:0 !important}.pe-xl-1{padding-right:.25rem !important}.pe-xl-2{padding-right:.5rem !important}.pe-xl-3{padding-right:1rem !important}.pe-xl-4{padding-right:1.5rem !important}.pe-xl-5{padding-right:3rem !important}.pb-xl-0{padding-bottom:0 !important}.pb-xl-1{padding-bottom:.25rem !important}.pb-xl-2{padding-bottom:.5rem !important}.pb-xl-3{padding-bottom:1rem !important}.pb-xl-4{padding-bottom:1.5rem !important}.pb-xl-5{padding-bottom:3rem !important}.ps-xl-0{padding-left:0 !important}.ps-xl-1{padding-left:.25rem !important}.ps-xl-2{padding-left:.5rem !important}.ps-xl-3{padding-left:1rem !important}.ps-xl-4{padding-left:1.5rem !important}.ps-xl-5{padding-left:3rem !important}.gap-xl-0{gap:0 !important}.gap-xl-1{gap:.25rem !important}.gap-xl-2{gap:.5rem !important}.gap-xl-3{gap:1rem !important}.gap-xl-4{gap:1.5rem !important}.gap-xl-5{gap:3rem !important}.row-gap-xl-0{row-gap:0 !important}.row-gap-xl-1{row-gap:.25rem !important}.row-gap-xl-2{row-gap:.5rem !important}.row-gap-xl-3{row-gap:1rem !important}.row-gap-xl-4{row-gap:1.5rem !important}.row-gap-xl-5{row-gap:3rem !important}.column-gap-xl-0{column-gap:0 !important}.column-gap-xl-1{column-gap:.25rem !important}.column-gap-xl-2{column-gap:.5rem !important}.column-gap-xl-3{column-gap:1rem !important}.column-gap-xl-4{column-gap:1.5rem !important}.column-gap-xl-5{column-gap:3rem !important}.text-xl-start{text-align:left !important}.text-xl-end{text-align:right !important}.text-xl-center{text-align:center !important}}@media(min-width: 1200px){.fs-1{font-size:2.5rem !important}.fs-2{font-size:2rem !important}.fs-3{font-size:1.75rem !important}.fs-4{font-size:1.5rem !important}}@media print{.d-print-inline{display:inline !important}.d-print-inline-block{display:inline-block !important}.d-print-block{display:block !important}.d-print-grid{display:grid !important}.d-print-inline-grid{display:inline-grid !important}.d-print-table{display:table !important}.d-print-table-row{display:table-row !important}.d-print-table-cell{display:table-cell !important}.d-print-flex{display:flex !important}.d-print-inline-flex{display:inline-flex !important}.d-print-none{display:none !important}}","@mixin bsBanner($file) {\n  /*!\n   * Bootstrap #{$file} v5.3.3 (https://getbootstrap.com/)\n   * Copyright 2011-2024 The Bootstrap Authors\n   * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n   */\n}\n",":root,\n[data-bs-theme=\"light\"] {\n  // Note: Custom variable values only support SassScript inside `#{}`.\n\n  // Colors\n  //\n  // Generate palettes for full colors, grays, and theme colors.\n\n  @each $color, $value in $colors {\n    --#{$prefix}#{$color}: #{$value};\n  }\n\n  @each $color, $value in $grays {\n    --#{$prefix}gray-#{$color}: #{$value};\n  }\n\n  @each $color, $value in $theme-colors {\n    --#{$prefix}#{$color}: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-rgb {\n    --#{$prefix}#{$color}-rgb: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-text {\n    --#{$prefix}#{$color}-text-emphasis: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-bg-subtle {\n    --#{$prefix}#{$color}-bg-subtle: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-border-subtle {\n    --#{$prefix}#{$color}-border-subtle: #{$value};\n  }\n\n  --#{$prefix}white-rgb: #{to-rgb($white)};\n  --#{$prefix}black-rgb: #{to-rgb($black)};\n\n  // Fonts\n\n  // Note: Use `inspect` for lists so that quoted items keep the quotes.\n  // See https://github.com/sass/sass/issues/2383#issuecomment-336349172\n  --#{$prefix}font-sans-serif: #{inspect($font-family-sans-serif)};\n  --#{$prefix}font-monospace: #{inspect($font-family-monospace)};\n  --#{$prefix}gradient: #{$gradient};\n\n  // Root and body\n  // scss-docs-start root-body-variables\n  @if $font-size-root != null {\n    --#{$prefix}root-font-size: #{$font-size-root};\n  }\n  --#{$prefix}body-font-family: #{inspect($font-family-base)};\n  @include rfs($font-size-base, --#{$prefix}body-font-size);\n  --#{$prefix}body-font-weight: #{$font-weight-base};\n  --#{$prefix}body-line-height: #{$line-height-base};\n  @if $body-text-align != null {\n    --#{$prefix}body-text-align: #{$body-text-align};\n  }\n\n  --#{$prefix}body-color: #{$body-color};\n  --#{$prefix}body-color-rgb: #{to-rgb($body-color)};\n  --#{$prefix}body-bg: #{$body-bg};\n  --#{$prefix}body-bg-rgb: #{to-rgb($body-bg)};\n\n  --#{$prefix}emphasis-color: #{$body-emphasis-color};\n  --#{$prefix}emphasis-color-rgb: #{to-rgb($body-emphasis-color)};\n\n  --#{$prefix}secondary-color: #{$body-secondary-color};\n  --#{$prefix}secondary-color-rgb: #{to-rgb($body-secondary-color)};\n  --#{$prefix}secondary-bg: #{$body-secondary-bg};\n  --#{$prefix}secondary-bg-rgb: #{to-rgb($body-secondary-bg)};\n\n  --#{$prefix}tertiary-color: #{$body-tertiary-color};\n  --#{$prefix}tertiary-color-rgb: #{to-rgb($body-tertiary-color)};\n  --#{$prefix}tertiary-bg: #{$body-tertiary-bg};\n  --#{$prefix}tertiary-bg-rgb: #{to-rgb($body-tertiary-bg)};\n  // scss-docs-end root-body-variables\n\n  --#{$prefix}heading-color: #{$headings-color};\n\n  --#{$prefix}link-color: #{$link-color};\n  --#{$prefix}link-color-rgb: #{to-rgb($link-color)};\n  --#{$prefix}link-decoration: #{$link-decoration};\n\n  --#{$prefix}link-hover-color: #{$link-hover-color};\n  --#{$prefix}link-hover-color-rgb: #{to-rgb($link-hover-color)};\n\n  @if $link-hover-decoration != null {\n    --#{$prefix}link-hover-decoration: #{$link-hover-decoration};\n  }\n\n  --#{$prefix}code-color: #{$code-color};\n  --#{$prefix}highlight-color: #{$mark-color};\n  --#{$prefix}highlight-bg: #{$mark-bg};\n\n  // scss-docs-start root-border-var\n  --#{$prefix}border-width: #{$border-width};\n  --#{$prefix}border-style: #{$border-style};\n  --#{$prefix}border-color: #{$border-color};\n  --#{$prefix}border-color-translucent: #{$border-color-translucent};\n\n  --#{$prefix}border-radius: #{$border-radius};\n  --#{$prefix}border-radius-sm: #{$border-radius-sm};\n  --#{$prefix}border-radius-lg: #{$border-radius-lg};\n  --#{$prefix}border-radius-xl: #{$border-radius-xl};\n  --#{$prefix}border-radius-xxl: #{$border-radius-xxl};\n  --#{$prefix}border-radius-2xl: var(--#{$prefix}border-radius-xxl); // Deprecated in v5.3.0 for consistency\n  --#{$prefix}border-radius-pill: #{$border-radius-pill};\n  // scss-docs-end root-border-var\n\n  --#{$prefix}box-shadow: #{$box-shadow};\n  --#{$prefix}box-shadow-sm: #{$box-shadow-sm};\n  --#{$prefix}box-shadow-lg: #{$box-shadow-lg};\n  --#{$prefix}box-shadow-inset: #{$box-shadow-inset};\n\n  // Focus styles\n  // scss-docs-start root-focus-variables\n  --#{$prefix}focus-ring-width: #{$focus-ring-width};\n  --#{$prefix}focus-ring-opacity: #{$focus-ring-opacity};\n  --#{$prefix}focus-ring-color: #{$focus-ring-color};\n  // scss-docs-end root-focus-variables\n\n  // scss-docs-start root-form-validation-variables\n  --#{$prefix}form-valid-color: #{$form-valid-color};\n  --#{$prefix}form-valid-border-color: #{$form-valid-border-color};\n  --#{$prefix}form-invalid-color: #{$form-invalid-color};\n  --#{$prefix}form-invalid-border-color: #{$form-invalid-border-color};\n  // scss-docs-end root-form-validation-variables\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark, true) {\n    color-scheme: dark;\n\n    // scss-docs-start root-dark-mode-vars\n    --#{$prefix}body-color: #{$body-color-dark};\n    --#{$prefix}body-color-rgb: #{to-rgb($body-color-dark)};\n    --#{$prefix}body-bg: #{$body-bg-dark};\n    --#{$prefix}body-bg-rgb: #{to-rgb($body-bg-dark)};\n\n    --#{$prefix}emphasis-color: #{$body-emphasis-color-dark};\n    --#{$prefix}emphasis-color-rgb: #{to-rgb($body-emphasis-color-dark)};\n\n    --#{$prefix}secondary-color: #{$body-secondary-color-dark};\n    --#{$prefix}secondary-color-rgb: #{to-rgb($body-secondary-color-dark)};\n    --#{$prefix}secondary-bg: #{$body-secondary-bg-dark};\n    --#{$prefix}secondary-bg-rgb: #{to-rgb($body-secondary-bg-dark)};\n\n    --#{$prefix}tertiary-color: #{$body-tertiary-color-dark};\n    --#{$prefix}tertiary-color-rgb: #{to-rgb($body-tertiary-color-dark)};\n    --#{$prefix}tertiary-bg: #{$body-tertiary-bg-dark};\n    --#{$prefix}tertiary-bg-rgb: #{to-rgb($body-tertiary-bg-dark)};\n\n    @each $color, $value in $theme-colors-text-dark {\n      --#{$prefix}#{$color}-text-emphasis: #{$value};\n    }\n\n    @each $color, $value in $theme-colors-bg-subtle-dark {\n      --#{$prefix}#{$color}-bg-subtle: #{$value};\n    }\n\n    @each $color, $value in $theme-colors-border-subtle-dark {\n      --#{$prefix}#{$color}-border-subtle: #{$value};\n    }\n\n    --#{$prefix}heading-color: #{$headings-color-dark};\n\n    --#{$prefix}link-color: #{$link-color-dark};\n    --#{$prefix}link-hover-color: #{$link-hover-color-dark};\n    --#{$prefix}link-color-rgb: #{to-rgb($link-color-dark)};\n    --#{$prefix}link-hover-color-rgb: #{to-rgb($link-hover-color-dark)};\n\n    --#{$prefix}code-color: #{$code-color-dark};\n    --#{$prefix}highlight-color: #{$mark-color-dark};\n    --#{$prefix}highlight-bg: #{$mark-bg-dark};\n\n    --#{$prefix}border-color: #{$border-color-dark};\n    --#{$prefix}border-color-translucent: #{$border-color-translucent-dark};\n\n    --#{$prefix}form-valid-color: #{$form-valid-color-dark};\n    --#{$prefix}form-valid-border-color: #{$form-valid-border-color-dark};\n    --#{$prefix}form-invalid-color: #{$form-invalid-color-dark};\n    --#{$prefix}form-invalid-border-color: #{$form-invalid-border-color-dark};\n    // scss-docs-end root-dark-mode-vars\n  }\n}\n","// stylelint-disable scss/dimension-no-non-numeric-values\n\n// SCSS RFS mixin\n//\n// Automated responsive values for font sizes, paddings, margins and much more\n//\n// Licensed under MIT (https://github.com/twbs/rfs/blob/main/LICENSE)\n\n// Configuration\n\n// Base value\n$rfs-base-value: 1.25rem !default;\n$rfs-unit: rem !default;\n\n@if $rfs-unit != rem and $rfs-unit != px {\n  @error \"`#{$rfs-unit}` is not a valid unit for $rfs-unit. Use `px` or `rem`.\";\n}\n\n// Breakpoint at where values start decreasing if screen width is smaller\n$rfs-breakpoint: 1200px !default;\n$rfs-breakpoint-unit: px !default;\n\n@if $rfs-breakpoint-unit != px and $rfs-breakpoint-unit != em and $rfs-breakpoint-unit != rem {\n  @error \"`#{$rfs-breakpoint-unit}` is not a valid unit for $rfs-breakpoint-unit. Use `px`, `em` or `rem`.\";\n}\n\n// Resize values based on screen height and width\n$rfs-two-dimensional: false !default;\n\n// Factor of decrease\n$rfs-factor: 10 !default;\n\n@if type-of($rfs-factor) != number or $rfs-factor <= 1 {\n  @error \"`#{$rfs-factor}` is not a valid  $rfs-factor, it must be greater than 1.\";\n}\n\n// Mode. Possibilities: \"min-media-query\", \"max-media-query\"\n$rfs-mode: min-media-query !default;\n\n// Generate enable or disable classes. Possibilities: false, \"enable\" or \"disable\"\n$rfs-class: false !default;\n\n// 1 rem = $rfs-rem-value px\n$rfs-rem-value: 16 !default;\n\n// Safari iframe resize bug: https://github.com/twbs/rfs/issues/14\n$rfs-safari-iframe-resize-bug-fix: false !default;\n\n// Disable RFS by setting $enable-rfs to false\n$enable-rfs: true !default;\n\n// Cache $rfs-base-value unit\n$rfs-base-value-unit: unit($rfs-base-value);\n\n@function divide($dividend, $divisor, $precision: 10) {\n  $sign: if($dividend > 0 and $divisor > 0 or $dividend < 0 and $divisor < 0, 1, -1);\n  $dividend: abs($dividend);\n  $divisor: abs($divisor);\n  @if $dividend == 0 {\n    @return 0;\n  }\n  @if $divisor == 0 {\n    @error \"Cannot divide by 0\";\n  }\n  $remainder: $dividend;\n  $result: 0;\n  $factor: 10;\n  @while ($remainder > 0 and $precision >= 0) {\n    $quotient: 0;\n    @while ($remainder >= $divisor) {\n      $remainder: $remainder - $divisor;\n      $quotient: $quotient + 1;\n    }\n    $result: $result * 10 + $quotient;\n    $factor: $factor * .1;\n    $remainder: $remainder * 10;\n    $precision: $precision - 1;\n    @if ($precision < 0 and $remainder >= $divisor * 5) {\n      $result: $result + 1;\n    }\n  }\n  $result: $result * $factor * $sign;\n  $dividend-unit: unit($dividend);\n  $divisor-unit: unit($divisor);\n  $unit-map: (\n    \"px\": 1px,\n    \"rem\": 1rem,\n    \"em\": 1em,\n    \"%\": 1%\n  );\n  @if ($dividend-unit != $divisor-unit and map-has-key($unit-map, $dividend-unit)) {\n    $result: $result * map-get($unit-map, $dividend-unit);\n  }\n  @return $result;\n}\n\n// Remove px-unit from $rfs-base-value for calculations\n@if $rfs-base-value-unit == px {\n  $rfs-base-value: divide($rfs-base-value, $rfs-base-value * 0 + 1);\n}\n@else if $rfs-base-value-unit == rem {\n  $rfs-base-value: divide($rfs-base-value, divide($rfs-base-value * 0 + 1, $rfs-rem-value));\n}\n\n// Cache $rfs-breakpoint unit to prevent multiple calls\n$rfs-breakpoint-unit-cache: unit($rfs-breakpoint);\n\n// Remove unit from $rfs-breakpoint for calculations\n@if $rfs-breakpoint-unit-cache == px {\n  $rfs-breakpoint: divide($rfs-breakpoint, $rfs-breakpoint * 0 + 1);\n}\n@else if $rfs-breakpoint-unit-cache == rem or $rfs-breakpoint-unit-cache == \"em\" {\n  $rfs-breakpoint: divide($rfs-breakpoint, divide($rfs-breakpoint * 0 + 1, $rfs-rem-value));\n}\n\n// Calculate the media query value\n$rfs-mq-value: if($rfs-breakpoint-unit == px, #{$rfs-breakpoint}px, #{divide($rfs-breakpoint, $rfs-rem-value)}#{$rfs-breakpoint-unit});\n$rfs-mq-property-width: if($rfs-mode == max-media-query, max-width, min-width);\n$rfs-mq-property-height: if($rfs-mode == max-media-query, max-height, min-height);\n\n// Internal mixin used to determine which media query needs to be used\n@mixin _rfs-media-query {\n  @if $rfs-two-dimensional {\n    @if $rfs-mode == max-media-query {\n      @media (#{$rfs-mq-property-width}: #{$rfs-mq-value}), (#{$rfs-mq-property-height}: #{$rfs-mq-value}) {\n        @content;\n      }\n    }\n    @else {\n      @media (#{$rfs-mq-property-width}: #{$rfs-mq-value}) and (#{$rfs-mq-property-height}: #{$rfs-mq-value}) {\n        @content;\n      }\n    }\n  }\n  @else {\n    @media (#{$rfs-mq-property-width}: #{$rfs-mq-value}) {\n      @content;\n    }\n  }\n}\n\n// Internal mixin that adds disable classes to the selector if needed.\n@mixin _rfs-rule {\n  @if $rfs-class == disable and $rfs-mode == max-media-query {\n    // Adding an extra class increases specificity, which prevents the media query to override the property\n    &,\n    .disable-rfs &,\n    &.disable-rfs {\n      @content;\n    }\n  }\n  @else if $rfs-class == enable and $rfs-mode == min-media-query {\n    .enable-rfs &,\n    &.enable-rfs {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Internal mixin that adds enable classes to the selector if needed.\n@mixin _rfs-media-query-rule {\n\n  @if $rfs-class == enable {\n    @if $rfs-mode == min-media-query {\n      @content;\n    }\n\n    @include _rfs-media-query () {\n      .enable-rfs &,\n      &.enable-rfs {\n        @content;\n      }\n    }\n  }\n  @else {\n    @if $rfs-class == disable and $rfs-mode == min-media-query {\n      .disable-rfs &,\n      &.disable-rfs {\n        @content;\n      }\n    }\n    @include _rfs-media-query () {\n      @content;\n    }\n  }\n}\n\n// Helper function to get the formatted non-responsive value\n@function rfs-value($values) {\n  // Convert to list\n  $values: if(type-of($values) != list, ($values,), $values);\n\n  $val: \"\";\n\n  // Loop over each value and calculate value\n  @each $value in $values {\n    @if $value == 0 {\n      $val: $val + \" 0\";\n    }\n    @else {\n      // Cache $value unit\n      $unit: if(type-of($value) == \"number\", unit($value), false);\n\n      @if $unit == px {\n        // Convert to rem if needed\n        $val: $val + \" \" + if($rfs-unit == rem, #{divide($value, $value * 0 + $rfs-rem-value)}rem, $value);\n      }\n      @else if $unit == rem {\n        // Convert to px if needed\n        $val: $val + \" \" + if($rfs-unit == px, #{divide($value, $value * 0 + 1) * $rfs-rem-value}px, $value);\n      } @else {\n        // If $value isn't a number (like inherit) or $value has a unit (not px or rem, like 1.5em) or $ is 0, just print the value\n        $val: $val + \" \" + $value;\n      }\n    }\n  }\n\n  // Remove first space\n  @return unquote(str-slice($val, 2));\n}\n\n// Helper function to get the responsive value calculated by RFS\n@function rfs-fluid-value($values) {\n  // Convert to list\n  $values: if(type-of($values) != list, ($values,), $values);\n\n  $val: \"\";\n\n  // Loop over each value and calculate value\n  @each $value in $values {\n    @if $value == 0 {\n      $val: $val + \" 0\";\n    } @else {\n      // Cache $value unit\n      $unit: if(type-of($value) == \"number\", unit($value), false);\n\n      // If $value isn't a number (like inherit) or $value has a unit (not px or rem, like 1.5em) or $ is 0, just print the value\n      @if not $unit or $unit != px and $unit != rem {\n        $val: $val + \" \" + $value;\n      } @else {\n        // Remove unit from $value for calculations\n        $value: divide($value, $value * 0 + if($unit == px, 1, divide(1, $rfs-rem-value)));\n\n        // Only add the media query if the value is greater than the minimum value\n        @if abs($value) <= $rfs-base-value or not $enable-rfs {\n          $val: $val + \" \" + if($rfs-unit == rem, #{divide($value, $rfs-rem-value)}rem, #{$value}px);\n        }\n        @else {\n          // Calculate the minimum value\n          $value-min: $rfs-base-value + divide(abs($value) - $rfs-base-value, $rfs-factor);\n\n          // Calculate difference between $value and the minimum value\n          $value-diff: abs($value) - $value-min;\n\n          // Base value formatting\n          $min-width: if($rfs-unit == rem, #{divide($value-min, $rfs-rem-value)}rem, #{$value-min}px);\n\n          // Use negative value if needed\n          $min-width: if($value < 0, -$min-width, $min-width);\n\n          // Use `vmin` if two-dimensional is enabled\n          $variable-unit: if($rfs-two-dimensional, vmin, vw);\n\n          // Calculate the variable width between 0 and $rfs-breakpoint\n          $variable-width: #{divide($value-diff * 100, $rfs-breakpoint)}#{$variable-unit};\n\n          // Return the calculated value\n          $val: $val + \" calc(\" + $min-width + if($value < 0, \" - \", \" + \") + $variable-width + \")\";\n        }\n      }\n    }\n  }\n\n  // Remove first space\n  @return unquote(str-slice($val, 2));\n}\n\n// RFS mixin\n@mixin rfs($values, $property: font-size) {\n  @if $values != null {\n    $val: rfs-value($values);\n    $fluid-val: rfs-fluid-value($values);\n\n    // Do not print the media query if responsive & non-responsive values are the same\n    @if $val == $fluid-val {\n      #{$property}: $val;\n    }\n    @else {\n      @include _rfs-rule () {\n        #{$property}: if($rfs-mode == max-media-query, $val, $fluid-val);\n\n        // Include safari iframe resize fix if needed\n        min-width: if($rfs-safari-iframe-resize-bug-fix, (0 * 1vw), null);\n      }\n\n      @include _rfs-media-query-rule () {\n        #{$property}: if($rfs-mode == max-media-query, $fluid-val, $val);\n      }\n    }\n  }\n}\n\n// Shorthand helper mixins\n@mixin font-size($value) {\n  @include rfs($value);\n}\n\n@mixin padding($value) {\n  @include rfs($value, padding);\n}\n\n@mixin padding-top($value) {\n  @include rfs($value, padding-top);\n}\n\n@mixin padding-right($value) {\n  @include rfs($value, padding-right);\n}\n\n@mixin padding-bottom($value) {\n  @include rfs($value, padding-bottom);\n}\n\n@mixin padding-left($value) {\n  @include rfs($value, padding-left);\n}\n\n@mixin margin($value) {\n  @include rfs($value, margin);\n}\n\n@mixin margin-top($value) {\n  @include rfs($value, margin-top);\n}\n\n@mixin margin-right($value) {\n  @include rfs($value, margin-right);\n}\n\n@mixin margin-bottom($value) {\n  @include rfs($value, margin-bottom);\n}\n\n@mixin margin-left($value) {\n  @include rfs($value, margin-left);\n}\n","// scss-docs-start color-mode-mixin\n@mixin color-mode($mode: light, $root: false) {\n  @if $color-mode-type == \"media-query\" {\n    @if $root == true {\n      @media (prefers-color-scheme: $mode) {\n        :root {\n          @content;\n        }\n      }\n    } @else {\n      @media (prefers-color-scheme: $mode) {\n        @content;\n      }\n    }\n  } @else {\n    [data-bs-theme=\"#{$mode}\"] {\n      @content;\n    }\n  }\n}\n// scss-docs-end color-mode-mixin\n","// stylelint-disable declaration-no-important, selector-no-qualifying-type, property-no-vendor-prefix\n\n\n// Reboot\n//\n// Normalization of HTML elements, manually forked from Normalize.css to remove\n// styles targeting irrelevant browsers while applying new styles.\n//\n// Normalize is licensed MIT. https://github.com/necolas/normalize.css\n\n\n// Document\n//\n// Change from `box-sizing: content-box` so that `width` is not affected by `padding` or `border`.\n\n*,\n*::before,\n*::after {\n  box-sizing: border-box;\n}\n\n\n// Root\n//\n// Ability to the value of the root font sizes, affecting the value of `rem`.\n// null by default, thus nothing is generated.\n\n:root {\n  @if $font-size-root != null {\n    @include font-size(var(--#{$prefix}root-font-size));\n  }\n\n  @if $enable-smooth-scroll {\n    @media (prefers-reduced-motion: no-preference) {\n      scroll-behavior: smooth;\n    }\n  }\n}\n\n\n// Body\n//\n// 1. Remove the margin in all browsers.\n// 2. As a best practice, apply a default `background-color`.\n// 3. Prevent adjustments of font size after orientation changes in iOS.\n// 4. Change the default tap highlight to be completely transparent in iOS.\n\n// scss-docs-start reboot-body-rules\nbody {\n  margin: 0; // 1\n  font-family: var(--#{$prefix}body-font-family);\n  @include font-size(var(--#{$prefix}body-font-size));\n  font-weight: var(--#{$prefix}body-font-weight);\n  line-height: var(--#{$prefix}body-line-height);\n  color: var(--#{$prefix}body-color);\n  text-align: var(--#{$prefix}body-text-align);\n  background-color: var(--#{$prefix}body-bg); // 2\n  -webkit-text-size-adjust: 100%; // 3\n  -webkit-tap-highlight-color: rgba($black, 0); // 4\n}\n// scss-docs-end reboot-body-rules\n\n\n// Content grouping\n//\n// 1. Reset Firefox's gray color\n\nhr {\n  margin: $hr-margin-y 0;\n  color: $hr-color; // 1\n  border: 0;\n  border-top: $hr-border-width solid $hr-border-color;\n  opacity: $hr-opacity;\n}\n\n\n// Typography\n//\n// 1. Remove top margins from headings\n//    By default, `<h1>`-`<h6>` all receive top and bottom margins. We nuke the top\n//    margin for easier control within type scales as it avoids margin collapsing.\n\n%heading {\n  margin-top: 0; // 1\n  margin-bottom: $headings-margin-bottom;\n  font-family: $headings-font-family;\n  font-style: $headings-font-style;\n  font-weight: $headings-font-weight;\n  line-height: $headings-line-height;\n  color: var(--#{$prefix}heading-color);\n}\n\nh1 {\n  @extend %heading;\n  @include font-size($h1-font-size);\n}\n\nh2 {\n  @extend %heading;\n  @include font-size($h2-font-size);\n}\n\nh3 {\n  @extend %heading;\n  @include font-size($h3-font-size);\n}\n\nh4 {\n  @extend %heading;\n  @include font-size($h4-font-size);\n}\n\nh5 {\n  @extend %heading;\n  @include font-size($h5-font-size);\n}\n\nh6 {\n  @extend %heading;\n  @include font-size($h6-font-size);\n}\n\n\n// Reset margins on paragraphs\n//\n// Similarly, the top margin on `<p>`s get reset. However, we also reset the\n// bottom margin to use `rem` units instead of `em`.\n\np {\n  margin-top: 0;\n  margin-bottom: $paragraph-margin-bottom;\n}\n\n\n// Abbreviations\n//\n// 1. Add the correct text decoration in Chrome, Edge, Opera, and Safari.\n// 2. Add explicit cursor to indicate changed behavior.\n// 3. Prevent the text-decoration to be skipped.\n\nabbr[title] {\n  text-decoration: underline dotted; // 1\n  cursor: help; // 2\n  text-decoration-skip-ink: none; // 3\n}\n\n\n// Address\n\naddress {\n  margin-bottom: 1rem;\n  font-style: normal;\n  line-height: inherit;\n}\n\n\n// Lists\n\nol,\nul {\n  padding-left: 2rem;\n}\n\nol,\nul,\ndl {\n  margin-top: 0;\n  margin-bottom: 1rem;\n}\n\nol ol,\nul ul,\nol ul,\nul ol {\n  margin-bottom: 0;\n}\n\ndt {\n  font-weight: $dt-font-weight;\n}\n\n// 1. Undo browser default\n\ndd {\n  margin-bottom: .5rem;\n  margin-left: 0; // 1\n}\n\n\n// Blockquote\n\nblockquote {\n  margin: 0 0 1rem;\n}\n\n\n// Strong\n//\n// Add the correct font weight in Chrome, Edge, and Safari\n\nb,\nstrong {\n  font-weight: $font-weight-bolder;\n}\n\n\n// Small\n//\n// Add the correct font size in all browsers\n\nsmall {\n  @include font-size($small-font-size);\n}\n\n\n// Mark\n\nmark {\n  padding: $mark-padding;\n  color: var(--#{$prefix}highlight-color);\n  background-color: var(--#{$prefix}highlight-bg);\n}\n\n\n// Sub and Sup\n//\n// Prevent `sub` and `sup` elements from affecting the line height in\n// all browsers.\n\nsub,\nsup {\n  position: relative;\n  @include font-size($sub-sup-font-size);\n  line-height: 0;\n  vertical-align: baseline;\n}\n\nsub { bottom: -.25em; }\nsup { top: -.5em; }\n\n\n// Links\n\na {\n  color: rgba(var(--#{$prefix}link-color-rgb), var(--#{$prefix}link-opacity, 1));\n  text-decoration: $link-decoration;\n\n  &:hover {\n    --#{$prefix}link-color-rgb: var(--#{$prefix}link-hover-color-rgb);\n    text-decoration: $link-hover-decoration;\n  }\n}\n\n// And undo these styles for placeholder links/named anchors (without href).\n// It would be more straightforward to just use a[href] in previous block, but that\n// causes specificity issues in many other styles that are too complex to fix.\n// See https://github.com/twbs/bootstrap/issues/19402\n\na:not([href]):not([class]) {\n  &,\n  &:hover {\n    color: inherit;\n    text-decoration: none;\n  }\n}\n\n\n// Code\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: $font-family-code;\n  @include font-size(1em); // Correct the odd `em` font sizing in all browsers.\n}\n\n// 1. Remove browser default top margin\n// 2. Reset browser default of `1em` to use `rem`s\n// 3. Don't allow content to break outside\n\npre {\n  display: block;\n  margin-top: 0; // 1\n  margin-bottom: 1rem; // 2\n  overflow: auto; // 3\n  @include font-size($code-font-size);\n  color: $pre-color;\n\n  // Account for some code outputs that place code tags in pre tags\n  code {\n    @include font-size(inherit);\n    color: inherit;\n    word-break: normal;\n  }\n}\n\ncode {\n  @include font-size($code-font-size);\n  color: var(--#{$prefix}code-color);\n  word-wrap: break-word;\n\n  // Streamline the style when inside anchors to avoid broken underline and more\n  a > & {\n    color: inherit;\n  }\n}\n\nkbd {\n  padding: $kbd-padding-y $kbd-padding-x;\n  @include font-size($kbd-font-size);\n  color: $kbd-color;\n  background-color: $kbd-bg;\n  @include border-radius($border-radius-sm);\n\n  kbd {\n    padding: 0;\n    @include font-size(1em);\n    font-weight: $nested-kbd-font-weight;\n  }\n}\n\n\n// Figures\n//\n// Apply a consistent margin strategy (matches our type styles).\n\nfigure {\n  margin: 0 0 1rem;\n}\n\n\n// Images and content\n\nimg,\nsvg {\n  vertical-align: middle;\n}\n\n\n// Tables\n//\n// Prevent double borders\n\ntable {\n  caption-side: bottom;\n  border-collapse: collapse;\n}\n\ncaption {\n  padding-top: $table-cell-padding-y;\n  padding-bottom: $table-cell-padding-y;\n  color: $table-caption-color;\n  text-align: left;\n}\n\n// 1. Removes font-weight bold by inheriting\n// 2. Matches default `<td>` alignment by inheriting `text-align`.\n// 3. Fix alignment for Safari\n\nth {\n  font-weight: $table-th-font-weight; // 1\n  text-align: inherit; // 2\n  text-align: -webkit-match-parent; // 3\n}\n\nthead,\ntbody,\ntfoot,\ntr,\ntd,\nth {\n  border-color: inherit;\n  border-style: solid;\n  border-width: 0;\n}\n\n\n// Forms\n//\n// 1. Allow labels to use `margin` for spacing.\n\nlabel {\n  display: inline-block; // 1\n}\n\n// Remove the default `border-radius` that macOS Chrome adds.\n// See https://github.com/twbs/bootstrap/issues/24093\n\nbutton {\n  // stylelint-disable-next-line property-disallowed-list\n  border-radius: 0;\n}\n\n// Explicitly remove focus outline in Chromium when it shouldn't be\n// visible (e.g. as result of mouse click or touch tap). It already\n// should be doing this automatically, but seems to currently be\n// confused and applies its very visible two-tone outline anyway.\n\nbutton:focus:not(:focus-visible) {\n  outline: 0;\n}\n\n// 1. Remove the margin in Firefox and Safari\n\ninput,\nbutton,\nselect,\noptgroup,\ntextarea {\n  margin: 0; // 1\n  font-family: inherit;\n  @include font-size(inherit);\n  line-height: inherit;\n}\n\n// Remove the inheritance of text transform in Firefox\nbutton,\nselect {\n  text-transform: none;\n}\n// Set the cursor for non-`<button>` buttons\n//\n// Details at https://github.com/twbs/bootstrap/pull/30562\n[role=\"button\"] {\n  cursor: pointer;\n}\n\nselect {\n  // Remove the inheritance of word-wrap in Safari.\n  // See https://github.com/twbs/bootstrap/issues/24990\n  word-wrap: normal;\n\n  // Undo the opacity change from Chrome\n  &:disabled {\n    opacity: 1;\n  }\n}\n\n// Remove the dropdown arrow only from text type inputs built with datalists in Chrome.\n// See https://stackoverflow.com/a/54997118\n\n[list]:not([type=\"date\"]):not([type=\"datetime-local\"]):not([type=\"month\"]):not([type=\"week\"]):not([type=\"time\"])::-webkit-calendar-picker-indicator {\n  display: none !important;\n}\n\n// 1. Prevent a WebKit bug where (2) destroys native `audio` and `video`\n//    controls in Android 4.\n// 2. Correct the inability to style clickable types in iOS and Safari.\n// 3. Opinionated: add \"hand\" cursor to non-disabled button elements.\n\nbutton,\n[type=\"button\"], // 1\n[type=\"reset\"],\n[type=\"submit\"] {\n  -webkit-appearance: button; // 2\n\n  @if $enable-button-pointers {\n    &:not(:disabled) {\n      cursor: pointer; // 3\n    }\n  }\n}\n\n// Remove inner border and padding from Firefox, but don't restore the outline like Normalize.\n\n::-moz-focus-inner {\n  padding: 0;\n  border-style: none;\n}\n\n// 1. Textareas should really only resize vertically so they don't break their (horizontal) containers.\n\ntextarea {\n  resize: vertical; // 1\n}\n\n// 1. Browsers set a default `min-width: min-content;` on fieldsets,\n//    unlike e.g. `<div>`s, which have `min-width: 0;` by default.\n//    So we reset that to ensure fieldsets behave more like a standard block element.\n//    See https://github.com/twbs/bootstrap/issues/12359\n//    and https://html.spec.whatwg.org/multipage/#the-fieldset-and-legend-elements\n// 2. Reset the default outline behavior of fieldsets so they don't affect page layout.\n\nfieldset {\n  min-width: 0; // 1\n  padding: 0; // 2\n  margin: 0; // 2\n  border: 0; // 2\n}\n\n// 1. By using `float: left`, the legend will behave like a block element.\n//    This way the border of a fieldset wraps around the legend if present.\n// 2. Fix wrapping bug.\n//    See https://github.com/twbs/bootstrap/issues/29712\n\nlegend {\n  float: left; // 1\n  width: 100%;\n  padding: 0;\n  margin-bottom: $legend-margin-bottom;\n  @include font-size($legend-font-size);\n  font-weight: $legend-font-weight;\n  line-height: inherit;\n\n  + * {\n    clear: left; // 2\n  }\n}\n\n// Fix height of inputs with a type of datetime-local, date, month, week, or time\n// See https://github.com/twbs/bootstrap/issues/18842\n\n::-webkit-datetime-edit-fields-wrapper,\n::-webkit-datetime-edit-text,\n::-webkit-datetime-edit-minute,\n::-webkit-datetime-edit-hour-field,\n::-webkit-datetime-edit-day-field,\n::-webkit-datetime-edit-month-field,\n::-webkit-datetime-edit-year-field {\n  padding: 0;\n}\n\n::-webkit-inner-spin-button {\n  height: auto;\n}\n\n// 1. 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// 2. Correct the outline style in Safari.\n\n[type=\"search\"] {\n  -webkit-appearance: textfield; // 1\n  outline-offset: -2px; // 2\n}\n\n// 1. A few input types should stay LTR\n// See https://rtlstyling.com/posts/rtl-styling#form-inputs\n// 2. RTL only output\n// See https://rtlcss.com/learn/usage-guide/control-directives/#raw\n\n/* rtl:raw:\n[type=\"tel\"],\n[type=\"url\"],\n[type=\"email\"],\n[type=\"number\"] {\n  direction: ltr;\n}\n*/\n\n// Remove the inner padding in Chrome and Safari on macOS.\n\n::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\n\n// Remove padding around color pickers in webkit browsers\n\n::-webkit-color-swatch-wrapper {\n  padding: 0;\n}\n\n\n// 1. Inherit font family and line height for file input buttons\n// 2. Correct the inability to style clickable types in iOS and Safari.\n\n::file-selector-button {\n  font: inherit; // 1\n  -webkit-appearance: button; // 2\n}\n\n// Correct element displays\n\noutput {\n  display: inline-block;\n}\n\n// Remove border from iframe\n\niframe {\n  border: 0;\n}\n\n// Summary\n//\n// 1. Add the correct display in all browsers\n\nsummary {\n  display: list-item; // 1\n  cursor: pointer;\n}\n\n\n// Progress\n//\n// Add the correct vertical alignment in Chrome, Firefox, and Opera.\n\nprogress {\n  vertical-align: baseline;\n}\n\n\n// Hidden attribute\n//\n// Always hide an element with the `hidden` HTML attribute.\n\n[hidden] {\n  display: none !important;\n}\n","// Variables\n//\n// Variables should follow the `$component-state-property-size` formula for\n// consistent naming. Ex: $nav-link-disabled-color and $modal-content-box-shadow-xs.\n\n// Color system\n\n// scss-docs-start gray-color-variables\n$white:    #fff !default;\n$gray-100: #f8f9fa !default;\n$gray-200: #e9ecef !default;\n$gray-300: #dee2e6 !default;\n$gray-400: #ced4da !default;\n$gray-500: #adb5bd !default;\n$gray-600: #6c757d !default;\n$gray-700: #495057 !default;\n$gray-800: #343a40 !default;\n$gray-900: #212529 !default;\n$black:    #000 !default;\n// scss-docs-end gray-color-variables\n\n// fusv-disable\n// scss-docs-start gray-colors-map\n$grays: (\n  \"100\": $gray-100,\n  \"200\": $gray-200,\n  \"300\": $gray-300,\n  \"400\": $gray-400,\n  \"500\": $gray-500,\n  \"600\": $gray-600,\n  \"700\": $gray-700,\n  \"800\": $gray-800,\n  \"900\": $gray-900\n) !default;\n// scss-docs-end gray-colors-map\n// fusv-enable\n\n// scss-docs-start color-variables\n$blue:    #0d6efd !default;\n$indigo:  #6610f2 !default;\n$purple:  #6f42c1 !default;\n$pink:    #d63384 !default;\n$red:     #dc3545 !default;\n$orange:  #fd7e14 !default;\n$yellow:  #ffc107 !default;\n$green:   #198754 !default;\n$teal:    #20c997 !default;\n$cyan:    #0dcaf0 !default;\n// scss-docs-end color-variables\n\n// scss-docs-start colors-map\n$colors: (\n  \"blue\":       $blue,\n  \"indigo\":     $indigo,\n  \"purple\":     $purple,\n  \"pink\":       $pink,\n  \"red\":        $red,\n  \"orange\":     $orange,\n  \"yellow\":     $yellow,\n  \"green\":      $green,\n  \"teal\":       $teal,\n  \"cyan\":       $cyan,\n  \"black\":      $black,\n  \"white\":      $white,\n  \"gray\":       $gray-600,\n  \"gray-dark\":  $gray-800\n) !default;\n// scss-docs-end colors-map\n\n// The contrast ratio to reach against white, to determine if color changes from \"light\" to \"dark\". Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n$min-contrast-ratio:   4.5 !default;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$color-contrast-dark:      $black !default;\n$color-contrast-light:     $white !default;\n\n// fusv-disable\n$blue-100: tint-color($blue, 80%) !default;\n$blue-200: tint-color($blue, 60%) !default;\n$blue-300: tint-color($blue, 40%) !default;\n$blue-400: tint-color($blue, 20%) !default;\n$blue-500: $blue !default;\n$blue-600: shade-color($blue, 20%) !default;\n$blue-700: shade-color($blue, 40%) !default;\n$blue-800: shade-color($blue, 60%) !default;\n$blue-900: shade-color($blue, 80%) !default;\n\n$indigo-100: tint-color($indigo, 80%) !default;\n$indigo-200: tint-color($indigo, 60%) !default;\n$indigo-300: tint-color($indigo, 40%) !default;\n$indigo-400: tint-color($indigo, 20%) !default;\n$indigo-500: $indigo !default;\n$indigo-600: shade-color($indigo, 20%) !default;\n$indigo-700: shade-color($indigo, 40%) !default;\n$indigo-800: shade-color($indigo, 60%) !default;\n$indigo-900: shade-color($indigo, 80%) !default;\n\n$purple-100: tint-color($purple, 80%) !default;\n$purple-200: tint-color($purple, 60%) !default;\n$purple-300: tint-color($purple, 40%) !default;\n$purple-400: tint-color($purple, 20%) !default;\n$purple-500: $purple !default;\n$purple-600: shade-color($purple, 20%) !default;\n$purple-700: shade-color($purple, 40%) !default;\n$purple-800: shade-color($purple, 60%) !default;\n$purple-900: shade-color($purple, 80%) !default;\n\n$pink-100: tint-color($pink, 80%) !default;\n$pink-200: tint-color($pink, 60%) !default;\n$pink-300: tint-color($pink, 40%) !default;\n$pink-400: tint-color($pink, 20%) !default;\n$pink-500: $pink !default;\n$pink-600: shade-color($pink, 20%) !default;\n$pink-700: shade-color($pink, 40%) !default;\n$pink-800: shade-color($pink, 60%) !default;\n$pink-900: shade-color($pink, 80%) !default;\n\n$red-100: tint-color($red, 80%) !default;\n$red-200: tint-color($red, 60%) !default;\n$red-300: tint-color($red, 40%) !default;\n$red-400: tint-color($red, 20%) !default;\n$red-500: $red !default;\n$red-600: shade-color($red, 20%) !default;\n$red-700: shade-color($red, 40%) !default;\n$red-800: shade-color($red, 60%) !default;\n$red-900: shade-color($red, 80%) !default;\n\n$orange-100: tint-color($orange, 80%) !default;\n$orange-200: tint-color($orange, 60%) !default;\n$orange-300: tint-color($orange, 40%) !default;\n$orange-400: tint-color($orange, 20%) !default;\n$orange-500: $orange !default;\n$orange-600: shade-color($orange, 20%) !default;\n$orange-700: shade-color($orange, 40%) !default;\n$orange-800: shade-color($orange, 60%) !default;\n$orange-900: shade-color($orange, 80%) !default;\n\n$yellow-100: tint-color($yellow, 80%) !default;\n$yellow-200: tint-color($yellow, 60%) !default;\n$yellow-300: tint-color($yellow, 40%) !default;\n$yellow-400: tint-color($yellow, 20%) !default;\n$yellow-500: $yellow !default;\n$yellow-600: shade-color($yellow, 20%) !default;\n$yellow-700: shade-color($yellow, 40%) !default;\n$yellow-800: shade-color($yellow, 60%) !default;\n$yellow-900: shade-color($yellow, 80%) !default;\n\n$green-100: tint-color($green, 80%) !default;\n$green-200: tint-color($green, 60%) !default;\n$green-300: tint-color($green, 40%) !default;\n$green-400: tint-color($green, 20%) !default;\n$green-500: $green !default;\n$green-600: shade-color($green, 20%) !default;\n$green-700: shade-color($green, 40%) !default;\n$green-800: shade-color($green, 60%) !default;\n$green-900: shade-color($green, 80%) !default;\n\n$teal-100: tint-color($teal, 80%) !default;\n$teal-200: tint-color($teal, 60%) !default;\n$teal-300: tint-color($teal, 40%) !default;\n$teal-400: tint-color($teal, 20%) !default;\n$teal-500: $teal !default;\n$teal-600: shade-color($teal, 20%) !default;\n$teal-700: shade-color($teal, 40%) !default;\n$teal-800: shade-color($teal, 60%) !default;\n$teal-900: shade-color($teal, 80%) !default;\n\n$cyan-100: tint-color($cyan, 80%) !default;\n$cyan-200: tint-color($cyan, 60%) !default;\n$cyan-300: tint-color($cyan, 40%) !default;\n$cyan-400: tint-color($cyan, 20%) !default;\n$cyan-500: $cyan !default;\n$cyan-600: shade-color($cyan, 20%) !default;\n$cyan-700: shade-color($cyan, 40%) !default;\n$cyan-800: shade-color($cyan, 60%) !default;\n$cyan-900: shade-color($cyan, 80%) !default;\n\n$blues: (\n  \"blue-100\": $blue-100,\n  \"blue-200\": $blue-200,\n  \"blue-300\": $blue-300,\n  \"blue-400\": $blue-400,\n  \"blue-500\": $blue-500,\n  \"blue-600\": $blue-600,\n  \"blue-700\": $blue-700,\n  \"blue-800\": $blue-800,\n  \"blue-900\": $blue-900\n) !default;\n\n$indigos: (\n  \"indigo-100\": $indigo-100,\n  \"indigo-200\": $indigo-200,\n  \"indigo-300\": $indigo-300,\n  \"indigo-400\": $indigo-400,\n  \"indigo-500\": $indigo-500,\n  \"indigo-600\": $indigo-600,\n  \"indigo-700\": $indigo-700,\n  \"indigo-800\": $indigo-800,\n  \"indigo-900\": $indigo-900\n) !default;\n\n$purples: (\n  \"purple-100\": $purple-100,\n  \"purple-200\": $purple-200,\n  \"purple-300\": $purple-300,\n  \"purple-400\": $purple-400,\n  \"purple-500\": $purple-500,\n  \"purple-600\": $purple-600,\n  \"purple-700\": $purple-700,\n  \"purple-800\": $purple-800,\n  \"purple-900\": $purple-900\n) !default;\n\n$pinks: (\n  \"pink-100\": $pink-100,\n  \"pink-200\": $pink-200,\n  \"pink-300\": $pink-300,\n  \"pink-400\": $pink-400,\n  \"pink-500\": $pink-500,\n  \"pink-600\": $pink-600,\n  \"pink-700\": $pink-700,\n  \"pink-800\": $pink-800,\n  \"pink-900\": $pink-900\n) !default;\n\n$reds: (\n  \"red-100\": $red-100,\n  \"red-200\": $red-200,\n  \"red-300\": $red-300,\n  \"red-400\": $red-400,\n  \"red-500\": $red-500,\n  \"red-600\": $red-600,\n  \"red-700\": $red-700,\n  \"red-800\": $red-800,\n  \"red-900\": $red-900\n) !default;\n\n$oranges: (\n  \"orange-100\": $orange-100,\n  \"orange-200\": $orange-200,\n  \"orange-300\": $orange-300,\n  \"orange-400\": $orange-400,\n  \"orange-500\": $orange-500,\n  \"orange-600\": $orange-600,\n  \"orange-700\": $orange-700,\n  \"orange-800\": $orange-800,\n  \"orange-900\": $orange-900\n) !default;\n\n$yellows: (\n  \"yellow-100\": $yellow-100,\n  \"yellow-200\": $yellow-200,\n  \"yellow-300\": $yellow-300,\n  \"yellow-400\": $yellow-400,\n  \"yellow-500\": $yellow-500,\n  \"yellow-600\": $yellow-600,\n  \"yellow-700\": $yellow-700,\n  \"yellow-800\": $yellow-800,\n  \"yellow-900\": $yellow-900\n) !default;\n\n$greens: (\n  \"green-100\": $green-100,\n  \"green-200\": $green-200,\n  \"green-300\": $green-300,\n  \"green-400\": $green-400,\n  \"green-500\": $green-500,\n  \"green-600\": $green-600,\n  \"green-700\": $green-700,\n  \"green-800\": $green-800,\n  \"green-900\": $green-900\n) !default;\n\n$teals: (\n  \"teal-100\": $teal-100,\n  \"teal-200\": $teal-200,\n  \"teal-300\": $teal-300,\n  \"teal-400\": $teal-400,\n  \"teal-500\": $teal-500,\n  \"teal-600\": $teal-600,\n  \"teal-700\": $teal-700,\n  \"teal-800\": $teal-800,\n  \"teal-900\": $teal-900\n) !default;\n\n$cyans: (\n  \"cyan-100\": $cyan-100,\n  \"cyan-200\": $cyan-200,\n  \"cyan-300\": $cyan-300,\n  \"cyan-400\": $cyan-400,\n  \"cyan-500\": $cyan-500,\n  \"cyan-600\": $cyan-600,\n  \"cyan-700\": $cyan-700,\n  \"cyan-800\": $cyan-800,\n  \"cyan-900\": $cyan-900\n) !default;\n// fusv-enable\n\n// scss-docs-start theme-color-variables\n$primary:       $blue !default;\n$secondary:     $gray-600 !default;\n$success:       $green !default;\n$info:          $cyan !default;\n$warning:       $yellow !default;\n$danger:        $red !default;\n$light:         $gray-100 !default;\n$dark:          $gray-900 !default;\n// scss-docs-end theme-color-variables\n\n// scss-docs-start theme-colors-map\n$theme-colors: (\n  \"primary\":    $primary,\n  \"secondary\":  $secondary,\n  \"success\":    $success,\n  \"info\":       $info,\n  \"warning\":    $warning,\n  \"danger\":     $danger,\n  \"light\":      $light,\n  \"dark\":       $dark\n) !default;\n// scss-docs-end theme-colors-map\n\n// scss-docs-start theme-text-variables\n$primary-text-emphasis:   shade-color($primary, 60%) !default;\n$secondary-text-emphasis: shade-color($secondary, 60%) !default;\n$success-text-emphasis:   shade-color($success, 60%) !default;\n$info-text-emphasis:      shade-color($info, 60%) !default;\n$warning-text-emphasis:   shade-color($warning, 60%) !default;\n$danger-text-emphasis:    shade-color($danger, 60%) !default;\n$light-text-emphasis:     $gray-700 !default;\n$dark-text-emphasis:      $gray-700 !default;\n// scss-docs-end theme-text-variables\n\n// scss-docs-start theme-bg-subtle-variables\n$primary-bg-subtle:       tint-color($primary, 80%) !default;\n$secondary-bg-subtle:     tint-color($secondary, 80%) !default;\n$success-bg-subtle:       tint-color($success, 80%) !default;\n$info-bg-subtle:          tint-color($info, 80%) !default;\n$warning-bg-subtle:       tint-color($warning, 80%) !default;\n$danger-bg-subtle:        tint-color($danger, 80%) !default;\n$light-bg-subtle:         mix($gray-100, $white) !default;\n$dark-bg-subtle:          $gray-400 !default;\n// scss-docs-end theme-bg-subtle-variables\n\n// scss-docs-start theme-border-subtle-variables\n$primary-border-subtle:   tint-color($primary, 60%) !default;\n$secondary-border-subtle: tint-color($secondary, 60%) !default;\n$success-border-subtle:   tint-color($success, 60%) !default;\n$info-border-subtle:      tint-color($info, 60%) !default;\n$warning-border-subtle:   tint-color($warning, 60%) !default;\n$danger-border-subtle:    tint-color($danger, 60%) !default;\n$light-border-subtle:     $gray-200 !default;\n$dark-border-subtle:      $gray-500 !default;\n// scss-docs-end theme-border-subtle-variables\n\n// Characters which are escaped by the escape-svg function\n$escaped-characters: (\n  (\"<\", \"%3c\"),\n  (\">\", \"%3e\"),\n  (\"#\", \"%23\"),\n  (\"(\", \"%28\"),\n  (\")\", \"%29\"),\n) !default;\n\n// Options\n//\n// Quickly modify global styling by enabling or disabling optional features.\n\n$enable-caret:                true !default;\n$enable-rounded:              true !default;\n$enable-shadows:              false !default;\n$enable-gradients:            false !default;\n$enable-transitions:          true !default;\n$enable-reduced-motion:       true !default;\n$enable-smooth-scroll:        true !default;\n$enable-grid-classes:         true !default;\n$enable-container-classes:    true !default;\n$enable-cssgrid:              false !default;\n$enable-button-pointers:      true !default;\n$enable-rfs:                  true !default;\n$enable-validation-icons:     true !default;\n$enable-negative-margins:     false !default;\n$enable-deprecation-messages: true !default;\n$enable-important-utilities:  true !default;\n\n$enable-dark-mode:            true !default;\n$color-mode-type:             data !default; // `data` or `media-query`\n\n// Prefix for :root CSS variables\n\n$variable-prefix:             bs- !default; // Deprecated in v5.2.0 for the shorter `$prefix`\n$prefix:                      $variable-prefix !default;\n\n// Gradient\n//\n// The gradient which is added to components if `$enable-gradients` is `true`\n// This gradient is also added to elements with `.bg-gradient`\n// scss-docs-start variable-gradient\n$gradient: linear-gradient(180deg, rgba($white, .15), rgba($white, 0)) !default;\n// scss-docs-end variable-gradient\n\n// Spacing\n//\n// Control the default styling of most Bootstrap elements by modifying these\n// variables. Mostly focused on spacing.\n// You can add more entries to the $spacers map, should you need more variation.\n\n// scss-docs-start spacer-variables-maps\n$spacer: 1rem !default;\n$spacers: (\n  0: 0,\n  1: $spacer * .25,\n  2: $spacer * .5,\n  3: $spacer,\n  4: $spacer * 1.5,\n  5: $spacer * 3,\n) !default;\n// scss-docs-end spacer-variables-maps\n\n// Position\n//\n// Define the edge positioning anchors of the position utilities.\n\n// scss-docs-start position-map\n$position-values: (\n  0: 0,\n  50: 50%,\n  100: 100%\n) !default;\n// scss-docs-end position-map\n\n// Body\n//\n// Settings for the `<body>` element.\n\n$body-text-align:           null !default;\n$body-color:                $gray-900 !default;\n$body-bg:                   $white !default;\n\n$body-secondary-color:      rgba($body-color, .75) !default;\n$body-secondary-bg:         $gray-200 !default;\n\n$body-tertiary-color:       rgba($body-color, .5) !default;\n$body-tertiary-bg:          $gray-100 !default;\n\n$body-emphasis-color:       $black !default;\n\n// Links\n//\n// Style anchor elements.\n\n$link-color:                              $primary !default;\n$link-decoration:                         underline !default;\n$link-shade-percentage:                   20% !default;\n$link-hover-color:                        shift-color($link-color, $link-shade-percentage) !default;\n$link-hover-decoration:                   null !default;\n\n$stretched-link-pseudo-element:           after !default;\n$stretched-link-z-index:                  1 !default;\n\n// Icon links\n// scss-docs-start icon-link-variables\n$icon-link-gap:               .375rem !default;\n$icon-link-underline-offset:  .25em !default;\n$icon-link-icon-size:         1em !default;\n$icon-link-icon-transition:   .2s ease-in-out transform !default;\n$icon-link-icon-transform:    translate3d(.25em, 0, 0) !default;\n// scss-docs-end icon-link-variables\n\n// Paragraphs\n//\n// Style p element.\n\n$paragraph-margin-bottom:   1rem !default;\n\n\n// Grid breakpoints\n//\n// Define the minimum dimensions at which your layout will change,\n// adapting to different screen sizes, for use in media queries.\n\n// scss-docs-start grid-breakpoints\n$grid-breakpoints: (\n  xs: 0,\n  sm: 576px,\n  md: 768px,\n  lg: 992px,\n  xl: 1200px,\n  xxl: 1400px\n) !default;\n// scss-docs-end grid-breakpoints\n\n@include _assert-ascending($grid-breakpoints, \"$grid-breakpoints\");\n@include _assert-starts-at-zero($grid-breakpoints, \"$grid-breakpoints\");\n\n\n// Grid containers\n//\n// Define the maximum width of `.container` for different screen sizes.\n\n// scss-docs-start container-max-widths\n$container-max-widths: (\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1140px,\n  xxl: 1320px\n) !default;\n// scss-docs-end container-max-widths\n\n@include _assert-ascending($container-max-widths, \"$container-max-widths\");\n\n\n// Grid columns\n//\n// Set the number of columns and specify the width of the gutters.\n\n$grid-columns:                12 !default;\n$grid-gutter-width:           1.5rem !default;\n$grid-row-columns:            6 !default;\n\n// Container padding\n\n$container-padding-x: $grid-gutter-width !default;\n\n\n// Components\n//\n// Define common padding and border radius sizes and more.\n\n// scss-docs-start border-variables\n$border-width:                1px !default;\n$border-widths: (\n  1: 1px,\n  2: 2px,\n  3: 3px,\n  4: 4px,\n  5: 5px\n) !default;\n$border-style:                solid !default;\n$border-color:                $gray-300 !default;\n$border-color-translucent:    rgba($black, .175) !default;\n// scss-docs-end border-variables\n\n// scss-docs-start border-radius-variables\n$border-radius:               .375rem !default;\n$border-radius-sm:            .25rem !default;\n$border-radius-lg:            .5rem !default;\n$border-radius-xl:            1rem !default;\n$border-radius-xxl:           2rem !default;\n$border-radius-pill:          50rem !default;\n// scss-docs-end border-radius-variables\n// fusv-disable\n$border-radius-2xl:           $border-radius-xxl !default; // Deprecated in v5.3.0\n// fusv-enable\n\n// scss-docs-start box-shadow-variables\n$box-shadow:                  0 .5rem 1rem rgba($black, .15) !default;\n$box-shadow-sm:               0 .125rem .25rem rgba($black, .075) !default;\n$box-shadow-lg:               0 1rem 3rem rgba($black, .175) !default;\n$box-shadow-inset:            inset 0 1px 2px rgba($black, .075) !default;\n// scss-docs-end box-shadow-variables\n\n$component-active-color:      $white !default;\n$component-active-bg:         $primary !default;\n\n// scss-docs-start focus-ring-variables\n$focus-ring-width:      .25rem !default;\n$focus-ring-opacity:    .25 !default;\n$focus-ring-color:      rgba($primary, $focus-ring-opacity) !default;\n$focus-ring-blur:       0 !default;\n$focus-ring-box-shadow: 0 0 $focus-ring-blur $focus-ring-width $focus-ring-color !default;\n// scss-docs-end focus-ring-variables\n\n// scss-docs-start caret-variables\n$caret-width:                 .3em !default;\n$caret-vertical-align:        $caret-width * .85 !default;\n$caret-spacing:               $caret-width * .85 !default;\n// scss-docs-end caret-variables\n\n$transition-base:             all .2s ease-in-out !default;\n$transition-fade:             opacity .15s linear !default;\n// scss-docs-start collapse-transition\n$transition-collapse:         height .35s ease !default;\n$transition-collapse-width:   width .35s ease !default;\n// scss-docs-end collapse-transition\n\n// stylelint-disable function-disallowed-list\n// scss-docs-start aspect-ratios\n$aspect-ratios: (\n  \"1x1\": 100%,\n  \"4x3\": calc(3 / 4 * 100%),\n  \"16x9\": calc(9 / 16 * 100%),\n  \"21x9\": calc(9 / 21 * 100%)\n) !default;\n// scss-docs-end aspect-ratios\n// stylelint-enable function-disallowed-list\n\n// Typography\n//\n// Font, line-height, and color for body text, headings, and more.\n\n// scss-docs-start font-variables\n// stylelint-disable value-keyword-case\n$font-family-sans-serif:      system-ui, -apple-system, \"Segoe UI\", Roboto, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\" !default;\n$font-family-monospace:       SFMono-Regular, Menlo, Monaco, Consolas, \"Liberation Mono\", \"Courier New\", monospace !default;\n// stylelint-enable value-keyword-case\n$font-family-base:            var(--#{$prefix}font-sans-serif) !default;\n$font-family-code:            var(--#{$prefix}font-monospace) !default;\n\n// $font-size-root affects the value of `rem`, which is used for as well font sizes, paddings, and margins\n// $font-size-base affects the font size of the body text\n$font-size-root:              null !default;\n$font-size-base:              1rem !default; // Assumes the browser default, typically `16px`\n$font-size-sm:                $font-size-base * .875 !default;\n$font-size-lg:                $font-size-base * 1.25 !default;\n\n$font-weight-lighter:         lighter !default;\n$font-weight-light:           300 !default;\n$font-weight-normal:          400 !default;\n$font-weight-medium:          500 !default;\n$font-weight-semibold:        600 !default;\n$font-weight-bold:            700 !default;\n$font-weight-bolder:          bolder !default;\n\n$font-weight-base:            $font-weight-normal !default;\n\n$line-height-base:            1.5 !default;\n$line-height-sm:              1.25 !default;\n$line-height-lg:              2 !default;\n\n$h1-font-size:                $font-size-base * 2.5 !default;\n$h2-font-size:                $font-size-base * 2 !default;\n$h3-font-size:                $font-size-base * 1.75 !default;\n$h4-font-size:                $font-size-base * 1.5 !default;\n$h5-font-size:                $font-size-base * 1.25 !default;\n$h6-font-size:                $font-size-base !default;\n// scss-docs-end font-variables\n\n// scss-docs-start font-sizes\n$font-sizes: (\n  1: $h1-font-size,\n  2: $h2-font-size,\n  3: $h3-font-size,\n  4: $h4-font-size,\n  5: $h5-font-size,\n  6: $h6-font-size\n) !default;\n// scss-docs-end font-sizes\n\n// scss-docs-start headings-variables\n$headings-margin-bottom:      $spacer * .5 !default;\n$headings-font-family:        null !default;\n$headings-font-style:         null !default;\n$headings-font-weight:        500 !default;\n$headings-line-height:        1.2 !default;\n$headings-color:              inherit !default;\n// scss-docs-end headings-variables\n\n// scss-docs-start display-headings\n$display-font-sizes: (\n  1: 5rem,\n  2: 4.5rem,\n  3: 4rem,\n  4: 3.5rem,\n  5: 3rem,\n  6: 2.5rem\n) !default;\n\n$display-font-family: null !default;\n$display-font-style:  null !default;\n$display-font-weight: 300 !default;\n$display-line-height: $headings-line-height !default;\n// scss-docs-end display-headings\n\n// scss-docs-start type-variables\n$lead-font-size:              $font-size-base * 1.25 !default;\n$lead-font-weight:            300 !default;\n\n$small-font-size:             .875em !default;\n\n$sub-sup-font-size:           .75em !default;\n\n// fusv-disable\n$text-muted:                  var(--#{$prefix}secondary-color) !default; // Deprecated in 5.3.0\n// fusv-enable\n\n$initialism-font-size:        $small-font-size !default;\n\n$blockquote-margin-y:         $spacer !default;\n$blockquote-font-size:        $font-size-base * 1.25 !default;\n$blockquote-footer-color:     $gray-600 !default;\n$blockquote-footer-font-size: $small-font-size !default;\n\n$hr-margin-y:                 $spacer !default;\n$hr-color:                    inherit !default;\n\n// fusv-disable\n$hr-bg-color:                 null !default; // Deprecated in v5.2.0\n$hr-height:                   null !default; // Deprecated in v5.2.0\n// fusv-enable\n\n$hr-border-color:             null !default; // Allows for inherited colors\n$hr-border-width:             var(--#{$prefix}border-width) !default;\n$hr-opacity:                  .25 !default;\n\n// scss-docs-start vr-variables\n$vr-border-width:             var(--#{$prefix}border-width) !default;\n// scss-docs-end vr-variables\n\n$legend-margin-bottom:        .5rem !default;\n$legend-font-size:            1.5rem !default;\n$legend-font-weight:          null !default;\n\n$dt-font-weight:              $font-weight-bold !default;\n\n$list-inline-padding:         .5rem !default;\n\n$mark-padding:                .1875em !default;\n$mark-color:                  $body-color !default;\n$mark-bg:                     $yellow-100 !default;\n// scss-docs-end type-variables\n\n\n// Tables\n//\n// Customizes the `.table` component with basic values, each used across all table variations.\n\n// scss-docs-start table-variables\n$table-cell-padding-y:        .5rem !default;\n$table-cell-padding-x:        .5rem !default;\n$table-cell-padding-y-sm:     .25rem !default;\n$table-cell-padding-x-sm:     .25rem !default;\n\n$table-cell-vertical-align:   top !default;\n\n$table-color:                 var(--#{$prefix}emphasis-color) !default;\n$table-bg:                    var(--#{$prefix}body-bg) !default;\n$table-accent-bg:             transparent !default;\n\n$table-th-font-weight:        null !default;\n\n$table-striped-color:         $table-color !default;\n$table-striped-bg-factor:     .05 !default;\n$table-striped-bg:            rgba(var(--#{$prefix}emphasis-color-rgb), $table-striped-bg-factor) !default;\n\n$table-active-color:          $table-color !default;\n$table-active-bg-factor:      .1 !default;\n$table-active-bg:             rgba(var(--#{$prefix}emphasis-color-rgb), $table-active-bg-factor) !default;\n\n$table-hover-color:           $table-color !default;\n$table-hover-bg-factor:       .075 !default;\n$table-hover-bg:              rgba(var(--#{$prefix}emphasis-color-rgb), $table-hover-bg-factor) !default;\n\n$table-border-factor:         .2 !default;\n$table-border-width:          var(--#{$prefix}border-width) !default;\n$table-border-color:          var(--#{$prefix}border-color) !default;\n\n$table-striped-order:         odd !default;\n$table-striped-columns-order: even !default;\n\n$table-group-separator-color: currentcolor !default;\n\n$table-caption-color:         var(--#{$prefix}secondary-color) !default;\n\n$table-bg-scale:              -80% !default;\n// scss-docs-end table-variables\n\n// scss-docs-start table-loop\n$table-variants: (\n  \"primary\":    shift-color($primary, $table-bg-scale),\n  \"secondary\":  shift-color($secondary, $table-bg-scale),\n  \"success\":    shift-color($success, $table-bg-scale),\n  \"info\":       shift-color($info, $table-bg-scale),\n  \"warning\":    shift-color($warning, $table-bg-scale),\n  \"danger\":     shift-color($danger, $table-bg-scale),\n  \"light\":      $light,\n  \"dark\":       $dark,\n) !default;\n// scss-docs-end table-loop\n\n\n// Buttons + Forms\n//\n// Shared variables that are reassigned to `$input-` and `$btn-` specific variables.\n\n// scss-docs-start input-btn-variables\n$input-btn-padding-y:         .375rem !default;\n$input-btn-padding-x:         .75rem !default;\n$input-btn-font-family:       null !default;\n$input-btn-font-size:         $font-size-base !default;\n$input-btn-line-height:       $line-height-base !default;\n\n$input-btn-focus-width:         $focus-ring-width !default;\n$input-btn-focus-color-opacity: $focus-ring-opacity !default;\n$input-btn-focus-color:         $focus-ring-color !default;\n$input-btn-focus-blur:          $focus-ring-blur !default;\n$input-btn-focus-box-shadow:    $focus-ring-box-shadow !default;\n\n$input-btn-padding-y-sm:      .25rem !default;\n$input-btn-padding-x-sm:      .5rem !default;\n$input-btn-font-size-sm:      $font-size-sm !default;\n\n$input-btn-padding-y-lg:      .5rem !default;\n$input-btn-padding-x-lg:      1rem !default;\n$input-btn-font-size-lg:      $font-size-lg !default;\n\n$input-btn-border-width:      var(--#{$prefix}border-width) !default;\n// scss-docs-end input-btn-variables\n\n\n// Buttons\n//\n// For each of Bootstrap's buttons, define text, background, and border color.\n\n// scss-docs-start btn-variables\n$btn-color:                   var(--#{$prefix}body-color) !default;\n$btn-padding-y:               $input-btn-padding-y !default;\n$btn-padding-x:               $input-btn-padding-x !default;\n$btn-font-family:             $input-btn-font-family !default;\n$btn-font-size:               $input-btn-font-size !default;\n$btn-line-height:             $input-btn-line-height !default;\n$btn-white-space:             null !default; // Set to `nowrap` to prevent text wrapping\n\n$btn-padding-y-sm:            $input-btn-padding-y-sm !default;\n$btn-padding-x-sm:            $input-btn-padding-x-sm !default;\n$btn-font-size-sm:            $input-btn-font-size-sm !default;\n\n$btn-padding-y-lg:            $input-btn-padding-y-lg !default;\n$btn-padding-x-lg:            $input-btn-padding-x-lg !default;\n$btn-font-size-lg:            $input-btn-font-size-lg !default;\n\n$btn-border-width:            $input-btn-border-width !default;\n\n$btn-font-weight:             $font-weight-normal !default;\n$btn-box-shadow:              inset 0 1px 0 rgba($white, .15), 0 1px 1px rgba($black, .075) !default;\n$btn-focus-width:             $input-btn-focus-width !default;\n$btn-focus-box-shadow:        $input-btn-focus-box-shadow !default;\n$btn-disabled-opacity:        .65 !default;\n$btn-active-box-shadow:       inset 0 3px 5px rgba($black, .125) !default;\n\n$btn-link-color:              var(--#{$prefix}link-color) !default;\n$btn-link-hover-color:        var(--#{$prefix}link-hover-color) !default;\n$btn-link-disabled-color:     $gray-600 !default;\n$btn-link-focus-shadow-rgb:   to-rgb(mix(color-contrast($link-color), $link-color, 15%)) !default;\n\n// Allows for customizing button radius independently from global border radius\n$btn-border-radius:           var(--#{$prefix}border-radius) !default;\n$btn-border-radius-sm:        var(--#{$prefix}border-radius-sm) !default;\n$btn-border-radius-lg:        var(--#{$prefix}border-radius-lg) !default;\n\n$btn-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$btn-hover-bg-shade-amount:       15% !default;\n$btn-hover-bg-tint-amount:        15% !default;\n$btn-hover-border-shade-amount:   20% !default;\n$btn-hover-border-tint-amount:    10% !default;\n$btn-active-bg-shade-amount:      20% !default;\n$btn-active-bg-tint-amount:       20% !default;\n$btn-active-border-shade-amount:  25% !default;\n$btn-active-border-tint-amount:   10% !default;\n// scss-docs-end btn-variables\n\n\n// Forms\n\n// scss-docs-start form-text-variables\n$form-text-margin-top:                  .25rem !default;\n$form-text-font-size:                   $small-font-size !default;\n$form-text-font-style:                  null !default;\n$form-text-font-weight:                 null !default;\n$form-text-color:                       var(--#{$prefix}secondary-color) !default;\n// scss-docs-end form-text-variables\n\n// scss-docs-start form-label-variables\n$form-label-margin-bottom:              .5rem !default;\n$form-label-font-size:                  null !default;\n$form-label-font-style:                 null !default;\n$form-label-font-weight:                null !default;\n$form-label-color:                      null !default;\n// scss-docs-end form-label-variables\n\n// scss-docs-start form-input-variables\n$input-padding-y:                       $input-btn-padding-y !default;\n$input-padding-x:                       $input-btn-padding-x !default;\n$input-font-family:                     $input-btn-font-family !default;\n$input-font-size:                       $input-btn-font-size !default;\n$input-font-weight:                     $font-weight-base !default;\n$input-line-height:                     $input-btn-line-height !default;\n\n$input-padding-y-sm:                    $input-btn-padding-y-sm !default;\n$input-padding-x-sm:                    $input-btn-padding-x-sm !default;\n$input-font-size-sm:                    $input-btn-font-size-sm !default;\n\n$input-padding-y-lg:                    $input-btn-padding-y-lg !default;\n$input-padding-x-lg:                    $input-btn-padding-x-lg !default;\n$input-font-size-lg:                    $input-btn-font-size-lg !default;\n\n$input-bg:                              var(--#{$prefix}body-bg) !default;\n$input-disabled-color:                  null !default;\n$input-disabled-bg:                     var(--#{$prefix}secondary-bg) !default;\n$input-disabled-border-color:           null !default;\n\n$input-color:                           var(--#{$prefix}body-color) !default;\n$input-border-color:                    var(--#{$prefix}border-color) !default;\n$input-border-width:                    $input-btn-border-width !default;\n$input-box-shadow:                      var(--#{$prefix}box-shadow-inset) !default;\n\n$input-border-radius:                   var(--#{$prefix}border-radius) !default;\n$input-border-radius-sm:                var(--#{$prefix}border-radius-sm) !default;\n$input-border-radius-lg:                var(--#{$prefix}border-radius-lg) !default;\n\n$input-focus-bg:                        $input-bg !default;\n$input-focus-border-color:              tint-color($component-active-bg, 50%) !default;\n$input-focus-color:                     $input-color !default;\n$input-focus-width:                     $input-btn-focus-width !default;\n$input-focus-box-shadow:                $input-btn-focus-box-shadow !default;\n\n$input-placeholder-color:               var(--#{$prefix}secondary-color) !default;\n$input-plaintext-color:                 var(--#{$prefix}body-color) !default;\n\n$input-height-border:                   calc(#{$input-border-width} * 2) !default; // stylelint-disable-line function-disallowed-list\n\n$input-height-inner:                    add($input-line-height * 1em, $input-padding-y * 2) !default;\n$input-height-inner-half:               add($input-line-height * .5em, $input-padding-y) !default;\n$input-height-inner-quarter:            add($input-line-height * .25em, $input-padding-y * .5) !default;\n\n$input-height:                          add($input-line-height * 1em, add($input-padding-y * 2, $input-height-border, false)) !default;\n$input-height-sm:                       add($input-line-height * 1em, add($input-padding-y-sm * 2, $input-height-border, false)) !default;\n$input-height-lg:                       add($input-line-height * 1em, add($input-padding-y-lg * 2, $input-height-border, false)) !default;\n\n$input-transition:                      border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$form-color-width:                      3rem !default;\n// scss-docs-end form-input-variables\n\n// scss-docs-start form-check-variables\n$form-check-input-width:                  1em !default;\n$form-check-min-height:                   $font-size-base * $line-height-base !default;\n$form-check-padding-start:                $form-check-input-width + .5em !default;\n$form-check-margin-bottom:                .125rem !default;\n$form-check-label-color:                  null !default;\n$form-check-label-cursor:                 null !default;\n$form-check-transition:                   null !default;\n\n$form-check-input-active-filter:          brightness(90%) !default;\n\n$form-check-input-bg:                     $input-bg !default;\n$form-check-input-border:                 var(--#{$prefix}border-width) solid var(--#{$prefix}border-color) !default;\n$form-check-input-border-radius:          .25em !default;\n$form-check-radio-border-radius:          50% !default;\n$form-check-input-focus-border:           $input-focus-border-color !default;\n$form-check-input-focus-box-shadow:       $focus-ring-box-shadow !default;\n\n$form-check-input-checked-color:          $component-active-color !default;\n$form-check-input-checked-bg-color:       $component-active-bg !default;\n$form-check-input-checked-border-color:   $form-check-input-checked-bg-color !default;\n$form-check-input-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-checked-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='m6 10 3 3 6-6'/></svg>\") !default;\n$form-check-radio-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='2' fill='#{$form-check-input-checked-color}'/></svg>\") !default;\n\n$form-check-input-indeterminate-color:          $component-active-color !default;\n$form-check-input-indeterminate-bg-color:       $component-active-bg !default;\n$form-check-input-indeterminate-border-color:   $form-check-input-indeterminate-bg-color !default;\n$form-check-input-indeterminate-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-indeterminate-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='M6 10h8'/></svg>\") !default;\n\n$form-check-input-disabled-opacity:        .5 !default;\n$form-check-label-disabled-opacity:        $form-check-input-disabled-opacity !default;\n$form-check-btn-check-disabled-opacity:    $btn-disabled-opacity !default;\n\n$form-check-inline-margin-end:    1rem !default;\n// scss-docs-end form-check-variables\n\n// scss-docs-start form-switch-variables\n$form-switch-color:               rgba($black, .25) !default;\n$form-switch-width:               2em !default;\n$form-switch-padding-start:       $form-switch-width + .5em !default;\n$form-switch-bg-image:            url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-color}'/></svg>\") !default;\n$form-switch-border-radius:       $form-switch-width !default;\n$form-switch-transition:          background-position .15s ease-in-out !default;\n\n$form-switch-focus-color:         $input-focus-border-color !default;\n$form-switch-focus-bg-image:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-focus-color}'/></svg>\") !default;\n\n$form-switch-checked-color:       $component-active-color !default;\n$form-switch-checked-bg-image:    url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-checked-color}'/></svg>\") !default;\n$form-switch-checked-bg-position: right center !default;\n// scss-docs-end form-switch-variables\n\n// scss-docs-start input-group-variables\n$input-group-addon-padding-y:           $input-padding-y !default;\n$input-group-addon-padding-x:           $input-padding-x !default;\n$input-group-addon-font-weight:         $input-font-weight !default;\n$input-group-addon-color:               $input-color !default;\n$input-group-addon-bg:                  var(--#{$prefix}tertiary-bg) !default;\n$input-group-addon-border-color:        $input-border-color !default;\n// scss-docs-end input-group-variables\n\n// scss-docs-start form-select-variables\n$form-select-padding-y:             $input-padding-y !default;\n$form-select-padding-x:             $input-padding-x !default;\n$form-select-font-family:           $input-font-family !default;\n$form-select-font-size:             $input-font-size !default;\n$form-select-indicator-padding:     $form-select-padding-x * 3 !default; // Extra padding for background-image\n$form-select-font-weight:           $input-font-weight !default;\n$form-select-line-height:           $input-line-height !default;\n$form-select-color:                 $input-color !default;\n$form-select-bg:                    $input-bg !default;\n$form-select-disabled-color:        null !default;\n$form-select-disabled-bg:           $input-disabled-bg !default;\n$form-select-disabled-border-color: $input-disabled-border-color !default;\n$form-select-bg-position:           right $form-select-padding-x center !default;\n$form-select-bg-size:               16px 12px !default; // In pixels because image dimensions\n$form-select-indicator-color:       $gray-800 !default;\n$form-select-indicator:             url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'><path fill='none' stroke='#{$form-select-indicator-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/></svg>\") !default;\n\n$form-select-feedback-icon-padding-end: $form-select-padding-x * 2.5 + $form-select-indicator-padding !default;\n$form-select-feedback-icon-position:    center right $form-select-indicator-padding !default;\n$form-select-feedback-icon-size:        $input-height-inner-half $input-height-inner-half !default;\n\n$form-select-border-width:        $input-border-width !default;\n$form-select-border-color:        $input-border-color !default;\n$form-select-border-radius:       $input-border-radius !default;\n$form-select-box-shadow:          var(--#{$prefix}box-shadow-inset) !default;\n\n$form-select-focus-border-color:  $input-focus-border-color !default;\n$form-select-focus-width:         $input-focus-width !default;\n$form-select-focus-box-shadow:    0 0 0 $form-select-focus-width $input-btn-focus-color !default;\n\n$form-select-padding-y-sm:        $input-padding-y-sm !default;\n$form-select-padding-x-sm:        $input-padding-x-sm !default;\n$form-select-font-size-sm:        $input-font-size-sm !default;\n$form-select-border-radius-sm:    $input-border-radius-sm !default;\n\n$form-select-padding-y-lg:        $input-padding-y-lg !default;\n$form-select-padding-x-lg:        $input-padding-x-lg !default;\n$form-select-font-size-lg:        $input-font-size-lg !default;\n$form-select-border-radius-lg:    $input-border-radius-lg !default;\n\n$form-select-transition:          $input-transition !default;\n// scss-docs-end form-select-variables\n\n// scss-docs-start form-range-variables\n$form-range-track-width:          100% !default;\n$form-range-track-height:         .5rem !default;\n$form-range-track-cursor:         pointer !default;\n$form-range-track-bg:             var(--#{$prefix}secondary-bg) !default;\n$form-range-track-border-radius:  1rem !default;\n$form-range-track-box-shadow:     var(--#{$prefix}box-shadow-inset) !default;\n\n$form-range-thumb-width:                   1rem !default;\n$form-range-thumb-height:                  $form-range-thumb-width !default;\n$form-range-thumb-bg:                      $component-active-bg !default;\n$form-range-thumb-border:                  0 !default;\n$form-range-thumb-border-radius:           1rem !default;\n$form-range-thumb-box-shadow:              0 .1rem .25rem rgba($black, .1) !default;\n$form-range-thumb-focus-box-shadow:        0 0 0 1px $body-bg, $input-focus-box-shadow !default;\n$form-range-thumb-focus-box-shadow-width:  $input-focus-width !default; // For focus box shadow issue in Edge\n$form-range-thumb-active-bg:               tint-color($component-active-bg, 70%) !default;\n$form-range-thumb-disabled-bg:             var(--#{$prefix}secondary-color) !default;\n$form-range-thumb-transition:              background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n// scss-docs-end form-range-variables\n\n// scss-docs-start form-file-variables\n$form-file-button-color:          $input-color !default;\n$form-file-button-bg:             var(--#{$prefix}tertiary-bg) !default;\n$form-file-button-hover-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end form-file-variables\n\n// scss-docs-start form-floating-variables\n$form-floating-height:                  add(3.5rem, $input-height-border) !default;\n$form-floating-line-height:             1.25 !default;\n$form-floating-padding-x:               $input-padding-x !default;\n$form-floating-padding-y:               1rem !default;\n$form-floating-input-padding-t:         1.625rem !default;\n$form-floating-input-padding-b:         .625rem !default;\n$form-floating-label-height:            1.5em !default;\n$form-floating-label-opacity:           .65 !default;\n$form-floating-label-transform:         scale(.85) translateY(-.5rem) translateX(.15rem) !default;\n$form-floating-label-disabled-color:    $gray-600 !default;\n$form-floating-transition:              opacity .1s ease-in-out, transform .1s ease-in-out !default;\n// scss-docs-end form-floating-variables\n\n// Form validation\n\n// scss-docs-start form-feedback-variables\n$form-feedback-margin-top:          $form-text-margin-top !default;\n$form-feedback-font-size:           $form-text-font-size !default;\n$form-feedback-font-style:          $form-text-font-style !default;\n$form-feedback-valid-color:         $success !default;\n$form-feedback-invalid-color:       $danger !default;\n\n$form-feedback-icon-valid-color:    $form-feedback-valid-color !default;\n$form-feedback-icon-valid:          url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'><path fill='#{$form-feedback-icon-valid-color}' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/></svg>\") !default;\n$form-feedback-icon-invalid-color:  $form-feedback-invalid-color !default;\n$form-feedback-icon-invalid:        url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='#{$form-feedback-icon-invalid-color}'><circle cx='6' cy='6' r='4.5'/><path stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/><circle cx='6' cy='8.2' r='.6' fill='#{$form-feedback-icon-invalid-color}' stroke='none'/></svg>\") !default;\n// scss-docs-end form-feedback-variables\n\n// scss-docs-start form-validation-colors\n$form-valid-color:                  $form-feedback-valid-color !default;\n$form-valid-border-color:           $form-feedback-valid-color !default;\n$form-invalid-color:                $form-feedback-invalid-color !default;\n$form-invalid-border-color:         $form-feedback-invalid-color !default;\n// scss-docs-end form-validation-colors\n\n// scss-docs-start form-validation-states\n$form-validation-states: (\n  \"valid\": (\n    \"color\": var(--#{$prefix}form-valid-color),\n    \"icon\": $form-feedback-icon-valid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}success),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}success-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-valid-border-color),\n  ),\n  \"invalid\": (\n    \"color\": var(--#{$prefix}form-invalid-color),\n    \"icon\": $form-feedback-icon-invalid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}danger),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}danger-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-invalid-border-color),\n  )\n) !default;\n// scss-docs-end form-validation-states\n\n// Z-index master list\n//\n// Warning: Avoid customizing these values. They're used for a bird's eye view\n// of components dependent on the z-axis and are designed to all work together.\n\n// scss-docs-start zindex-stack\n$zindex-dropdown:                   1000 !default;\n$zindex-sticky:                     1020 !default;\n$zindex-fixed:                      1030 !default;\n$zindex-offcanvas-backdrop:         1040 !default;\n$zindex-offcanvas:                  1045 !default;\n$zindex-modal-backdrop:             1050 !default;\n$zindex-modal:                      1055 !default;\n$zindex-popover:                    1070 !default;\n$zindex-tooltip:                    1080 !default;\n$zindex-toast:                      1090 !default;\n// scss-docs-end zindex-stack\n\n// scss-docs-start zindex-levels-map\n$zindex-levels: (\n  n1: -1,\n  0: 0,\n  1: 1,\n  2: 2,\n  3: 3\n) !default;\n// scss-docs-end zindex-levels-map\n\n\n// Navs\n\n// scss-docs-start nav-variables\n$nav-link-padding-y:                .5rem !default;\n$nav-link-padding-x:                1rem !default;\n$nav-link-font-size:                null !default;\n$nav-link-font-weight:              null !default;\n$nav-link-color:                    var(--#{$prefix}link-color) !default;\n$nav-link-hover-color:              var(--#{$prefix}link-hover-color) !default;\n$nav-link-transition:               color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out !default;\n$nav-link-disabled-color:           var(--#{$prefix}secondary-color) !default;\n$nav-link-focus-box-shadow:         $focus-ring-box-shadow !default;\n\n$nav-tabs-border-color:             var(--#{$prefix}border-color) !default;\n$nav-tabs-border-width:             var(--#{$prefix}border-width) !default;\n$nav-tabs-border-radius:            var(--#{$prefix}border-radius) !default;\n$nav-tabs-link-hover-border-color:  var(--#{$prefix}secondary-bg) var(--#{$prefix}secondary-bg) $nav-tabs-border-color !default;\n$nav-tabs-link-active-color:        var(--#{$prefix}emphasis-color) !default;\n$nav-tabs-link-active-bg:           var(--#{$prefix}body-bg) !default;\n$nav-tabs-link-active-border-color: var(--#{$prefix}border-color) var(--#{$prefix}border-color) $nav-tabs-link-active-bg !default;\n\n$nav-pills-border-radius:           var(--#{$prefix}border-radius) !default;\n$nav-pills-link-active-color:       $component-active-color !default;\n$nav-pills-link-active-bg:          $component-active-bg !default;\n\n$nav-underline-gap:                 1rem !default;\n$nav-underline-border-width:        .125rem !default;\n$nav-underline-link-active-color:   var(--#{$prefix}emphasis-color) !default;\n// scss-docs-end nav-variables\n\n\n// Navbar\n\n// scss-docs-start navbar-variables\n$navbar-padding-y:                  $spacer * .5 !default;\n$navbar-padding-x:                  null !default;\n\n$navbar-nav-link-padding-x:         .5rem !default;\n\n$navbar-brand-font-size:            $font-size-lg !default;\n// Compute the navbar-brand padding-y so the navbar-brand will have the same height as navbar-text and nav-link\n$nav-link-height:                   $font-size-base * $line-height-base + $nav-link-padding-y * 2 !default;\n$navbar-brand-height:               $navbar-brand-font-size * $line-height-base !default;\n$navbar-brand-padding-y:            ($nav-link-height - $navbar-brand-height) * .5 !default;\n$navbar-brand-margin-end:           1rem !default;\n\n$navbar-toggler-padding-y:          .25rem !default;\n$navbar-toggler-padding-x:          .75rem !default;\n$navbar-toggler-font-size:          $font-size-lg !default;\n$navbar-toggler-border-radius:      $btn-border-radius !default;\n$navbar-toggler-focus-width:        $btn-focus-width !default;\n$navbar-toggler-transition:         box-shadow .15s ease-in-out !default;\n\n$navbar-light-color:                rgba(var(--#{$prefix}emphasis-color-rgb), .65) !default;\n$navbar-light-hover-color:          rgba(var(--#{$prefix}emphasis-color-rgb), .8) !default;\n$navbar-light-active-color:         rgba(var(--#{$prefix}emphasis-color-rgb), 1) !default;\n$navbar-light-disabled-color:       rgba(var(--#{$prefix}emphasis-color-rgb), .3) !default;\n$navbar-light-icon-color:           rgba($body-color, .75) !default;\n$navbar-light-toggler-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-light-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-light-toggler-border-color: rgba(var(--#{$prefix}emphasis-color-rgb), .15) !default;\n$navbar-light-brand-color:          $navbar-light-active-color !default;\n$navbar-light-brand-hover-color:    $navbar-light-active-color !default;\n// scss-docs-end navbar-variables\n\n// scss-docs-start navbar-dark-variables\n$navbar-dark-color:                 rgba($white, .55) !default;\n$navbar-dark-hover-color:           rgba($white, .75) !default;\n$navbar-dark-active-color:          $white !default;\n$navbar-dark-disabled-color:        rgba($white, .25) !default;\n$navbar-dark-icon-color:            $navbar-dark-color !default;\n$navbar-dark-toggler-icon-bg:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-dark-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-dark-toggler-border-color:  rgba($white, .1) !default;\n$navbar-dark-brand-color:           $navbar-dark-active-color !default;\n$navbar-dark-brand-hover-color:     $navbar-dark-active-color !default;\n// scss-docs-end navbar-dark-variables\n\n\n// Dropdowns\n//\n// Dropdown menu container and contents.\n\n// scss-docs-start dropdown-variables\n$dropdown-min-width:                10rem !default;\n$dropdown-padding-x:                0 !default;\n$dropdown-padding-y:                .5rem !default;\n$dropdown-spacer:                   .125rem !default;\n$dropdown-font-size:                $font-size-base !default;\n$dropdown-color:                    var(--#{$prefix}body-color) !default;\n$dropdown-bg:                       var(--#{$prefix}body-bg) !default;\n$dropdown-border-color:             var(--#{$prefix}border-color-translucent) !default;\n$dropdown-border-radius:            var(--#{$prefix}border-radius) !default;\n$dropdown-border-width:             var(--#{$prefix}border-width) !default;\n$dropdown-inner-border-radius:      calc(#{$dropdown-border-radius} - #{$dropdown-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$dropdown-divider-bg:               $dropdown-border-color !default;\n$dropdown-divider-margin-y:         $spacer * .5 !default;\n$dropdown-box-shadow:               var(--#{$prefix}box-shadow) !default;\n\n$dropdown-link-color:               var(--#{$prefix}body-color) !default;\n$dropdown-link-hover-color:         $dropdown-link-color !default;\n$dropdown-link-hover-bg:            var(--#{$prefix}tertiary-bg) !default;\n\n$dropdown-link-active-color:        $component-active-color !default;\n$dropdown-link-active-bg:           $component-active-bg !default;\n\n$dropdown-link-disabled-color:      var(--#{$prefix}tertiary-color) !default;\n\n$dropdown-item-padding-y:           $spacer * .25 !default;\n$dropdown-item-padding-x:           $spacer !default;\n\n$dropdown-header-color:             $gray-600 !default;\n$dropdown-header-padding-x:         $dropdown-item-padding-x !default;\n$dropdown-header-padding-y:         $dropdown-padding-y !default;\n// fusv-disable\n$dropdown-header-padding:           $dropdown-header-padding-y $dropdown-header-padding-x !default; // Deprecated in v5.2.0\n// fusv-enable\n// scss-docs-end dropdown-variables\n\n// scss-docs-start dropdown-dark-variables\n$dropdown-dark-color:               $gray-300 !default;\n$dropdown-dark-bg:                  $gray-800 !default;\n$dropdown-dark-border-color:        $dropdown-border-color !default;\n$dropdown-dark-divider-bg:          $dropdown-divider-bg !default;\n$dropdown-dark-box-shadow:          null !default;\n$dropdown-dark-link-color:          $dropdown-dark-color !default;\n$dropdown-dark-link-hover-color:    $white !default;\n$dropdown-dark-link-hover-bg:       rgba($white, .15) !default;\n$dropdown-dark-link-active-color:   $dropdown-link-active-color !default;\n$dropdown-dark-link-active-bg:      $dropdown-link-active-bg !default;\n$dropdown-dark-link-disabled-color: $gray-500 !default;\n$dropdown-dark-header-color:        $gray-500 !default;\n// scss-docs-end dropdown-dark-variables\n\n\n// Pagination\n\n// scss-docs-start pagination-variables\n$pagination-padding-y:              .375rem !default;\n$pagination-padding-x:              .75rem !default;\n$pagination-padding-y-sm:           .25rem !default;\n$pagination-padding-x-sm:           .5rem !default;\n$pagination-padding-y-lg:           .75rem !default;\n$pagination-padding-x-lg:           1.5rem !default;\n\n$pagination-font-size:              $font-size-base !default;\n\n$pagination-color:                  var(--#{$prefix}link-color) !default;\n$pagination-bg:                     var(--#{$prefix}body-bg) !default;\n$pagination-border-radius:          var(--#{$prefix}border-radius) !default;\n$pagination-border-width:           var(--#{$prefix}border-width) !default;\n$pagination-margin-start:           calc(#{$pagination-border-width} * -1) !default; // stylelint-disable-line function-disallowed-list\n$pagination-border-color:           var(--#{$prefix}border-color) !default;\n\n$pagination-focus-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-focus-bg:               var(--#{$prefix}secondary-bg) !default;\n$pagination-focus-box-shadow:       $focus-ring-box-shadow !default;\n$pagination-focus-outline:          0 !default;\n\n$pagination-hover-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$pagination-hover-border-color:     var(--#{$prefix}border-color) !default; // Todo in v6: remove this?\n\n$pagination-active-color:           $component-active-color !default;\n$pagination-active-bg:              $component-active-bg !default;\n$pagination-active-border-color:    $component-active-bg !default;\n\n$pagination-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$pagination-disabled-bg:            var(--#{$prefix}secondary-bg) !default;\n$pagination-disabled-border-color:  var(--#{$prefix}border-color) !default;\n\n$pagination-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$pagination-border-radius-sm:       var(--#{$prefix}border-radius-sm) !default;\n$pagination-border-radius-lg:       var(--#{$prefix}border-radius-lg) !default;\n// scss-docs-end pagination-variables\n\n\n// Placeholders\n\n// scss-docs-start placeholders\n$placeholder-opacity-max:           .5 !default;\n$placeholder-opacity-min:           .2 !default;\n// scss-docs-end placeholders\n\n// Cards\n\n// scss-docs-start card-variables\n$card-spacer-y:                     $spacer !default;\n$card-spacer-x:                     $spacer !default;\n$card-title-spacer-y:               $spacer * .5 !default;\n$card-title-color:                  null !default;\n$card-subtitle-color:               null !default;\n$card-border-width:                 var(--#{$prefix}border-width) !default;\n$card-border-color:                 var(--#{$prefix}border-color-translucent) !default;\n$card-border-radius:                var(--#{$prefix}border-radius) !default;\n$card-box-shadow:                   null !default;\n$card-inner-border-radius:          subtract($card-border-radius, $card-border-width) !default;\n$card-cap-padding-y:                $card-spacer-y * .5 !default;\n$card-cap-padding-x:                $card-spacer-x !default;\n$card-cap-bg:                       rgba(var(--#{$prefix}body-color-rgb), .03) !default;\n$card-cap-color:                    null !default;\n$card-height:                       null !default;\n$card-color:                        null !default;\n$card-bg:                           var(--#{$prefix}body-bg) !default;\n$card-img-overlay-padding:          $spacer !default;\n$card-group-margin:                 $grid-gutter-width * .5 !default;\n// scss-docs-end card-variables\n\n// Accordion\n\n// scss-docs-start accordion-variables\n$accordion-padding-y:                     1rem !default;\n$accordion-padding-x:                     1.25rem !default;\n$accordion-color:                         var(--#{$prefix}body-color) !default;\n$accordion-bg:                            var(--#{$prefix}body-bg) !default;\n$accordion-border-width:                  var(--#{$prefix}border-width) !default;\n$accordion-border-color:                  var(--#{$prefix}border-color) !default;\n$accordion-border-radius:                 var(--#{$prefix}border-radius) !default;\n$accordion-inner-border-radius:           subtract($accordion-border-radius, $accordion-border-width) !default;\n\n$accordion-body-padding-y:                $accordion-padding-y !default;\n$accordion-body-padding-x:                $accordion-padding-x !default;\n\n$accordion-button-padding-y:              $accordion-padding-y !default;\n$accordion-button-padding-x:              $accordion-padding-x !default;\n$accordion-button-color:                  var(--#{$prefix}body-color) !default;\n$accordion-button-bg:                     var(--#{$prefix}accordion-bg) !default;\n$accordion-transition:                    $btn-transition, border-radius .15s ease !default;\n$accordion-button-active-bg:              var(--#{$prefix}primary-bg-subtle) !default;\n$accordion-button-active-color:           var(--#{$prefix}primary-text-emphasis) !default;\n\n// fusv-disable\n$accordion-button-focus-border-color:     $input-focus-border-color !default; // Deprecated in v5.3.3\n// fusv-enable\n$accordion-button-focus-box-shadow:       $btn-focus-box-shadow !default;\n\n$accordion-icon-width:                    1.25rem !default;\n$accordion-icon-color:                    $body-color !default;\n$accordion-icon-active-color:             $primary-text-emphasis !default;\n$accordion-icon-transition:               transform .2s ease-in-out !default;\n$accordion-icon-transform:                rotate(-180deg) !default;\n\n$accordion-button-icon:         url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='none' stroke='#{$accordion-icon-color}' stroke-linecap='round' stroke-linejoin='round'><path d='M2 5L8 11L14 5'/></svg>\") !default;\n$accordion-button-active-icon:  url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='none' stroke='#{$accordion-icon-active-color}' stroke-linecap='round' stroke-linejoin='round'><path d='M2 5L8 11L14 5'/></svg>\") !default;\n// scss-docs-end accordion-variables\n\n// Tooltips\n\n// scss-docs-start tooltip-variables\n$tooltip-font-size:                 $font-size-sm !default;\n$tooltip-max-width:                 200px !default;\n$tooltip-color:                     var(--#{$prefix}body-bg) !default;\n$tooltip-bg:                        var(--#{$prefix}emphasis-color) !default;\n$tooltip-border-radius:             var(--#{$prefix}border-radius) !default;\n$tooltip-opacity:                   .9 !default;\n$tooltip-padding-y:                 $spacer * .25 !default;\n$tooltip-padding-x:                 $spacer * .5 !default;\n$tooltip-margin:                    null !default; // TODO: remove this in v6\n\n$tooltip-arrow-width:               .8rem !default;\n$tooltip-arrow-height:              .4rem !default;\n// fusv-disable\n$tooltip-arrow-color:               null !default; // Deprecated in Bootstrap 5.2.0 for CSS variables\n// fusv-enable\n// scss-docs-end tooltip-variables\n\n// Form tooltips must come after regular tooltips\n// scss-docs-start tooltip-feedback-variables\n$form-feedback-tooltip-padding-y:     $tooltip-padding-y !default;\n$form-feedback-tooltip-padding-x:     $tooltip-padding-x !default;\n$form-feedback-tooltip-font-size:     $tooltip-font-size !default;\n$form-feedback-tooltip-line-height:   null !default;\n$form-feedback-tooltip-opacity:       $tooltip-opacity !default;\n$form-feedback-tooltip-border-radius: $tooltip-border-radius !default;\n// scss-docs-end tooltip-feedback-variables\n\n\n// Popovers\n\n// scss-docs-start popover-variables\n$popover-font-size:                 $font-size-sm !default;\n$popover-bg:                        var(--#{$prefix}body-bg) !default;\n$popover-max-width:                 276px !default;\n$popover-border-width:              var(--#{$prefix}border-width) !default;\n$popover-border-color:              var(--#{$prefix}border-color-translucent) !default;\n$popover-border-radius:             var(--#{$prefix}border-radius-lg) !default;\n$popover-inner-border-radius:       calc(#{$popover-border-radius} - #{$popover-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$popover-box-shadow:                var(--#{$prefix}box-shadow) !default;\n\n$popover-header-font-size:          $font-size-base !default;\n$popover-header-bg:                 var(--#{$prefix}secondary-bg) !default;\n$popover-header-color:              $headings-color !default;\n$popover-header-padding-y:          .5rem !default;\n$popover-header-padding-x:          $spacer !default;\n\n$popover-body-color:                var(--#{$prefix}body-color) !default;\n$popover-body-padding-y:            $spacer !default;\n$popover-body-padding-x:            $spacer !default;\n\n$popover-arrow-width:               1rem !default;\n$popover-arrow-height:              .5rem !default;\n// scss-docs-end popover-variables\n\n// fusv-disable\n// Deprecated in Bootstrap 5.2.0 for CSS variables\n$popover-arrow-color:               $popover-bg !default;\n$popover-arrow-outer-color:         var(--#{$prefix}border-color-translucent) !default;\n// fusv-enable\n\n\n// Toasts\n\n// scss-docs-start toast-variables\n$toast-max-width:                   350px !default;\n$toast-padding-x:                   .75rem !default;\n$toast-padding-y:                   .5rem !default;\n$toast-font-size:                   .875rem !default;\n$toast-color:                       null !default;\n$toast-background-color:            rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-border-width:                var(--#{$prefix}border-width) !default;\n$toast-border-color:                var(--#{$prefix}border-color-translucent) !default;\n$toast-border-radius:               var(--#{$prefix}border-radius) !default;\n$toast-box-shadow:                  var(--#{$prefix}box-shadow) !default;\n$toast-spacing:                     $container-padding-x !default;\n\n$toast-header-color:                var(--#{$prefix}secondary-color) !default;\n$toast-header-background-color:     rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-header-border-color:         $toast-border-color !default;\n// scss-docs-end toast-variables\n\n\n// Badges\n\n// scss-docs-start badge-variables\n$badge-font-size:                   .75em !default;\n$badge-font-weight:                 $font-weight-bold !default;\n$badge-color:                       $white !default;\n$badge-padding-y:                   .35em !default;\n$badge-padding-x:                   .65em !default;\n$badge-border-radius:               var(--#{$prefix}border-radius) !default;\n// scss-docs-end badge-variables\n\n\n// Modals\n\n// scss-docs-start modal-variables\n$modal-inner-padding:               $spacer !default;\n\n$modal-footer-margin-between:       .5rem !default;\n\n$modal-dialog-margin:               .5rem !default;\n$modal-dialog-margin-y-sm-up:       1.75rem !default;\n\n$modal-title-line-height:           $line-height-base !default;\n\n$modal-content-color:               null !default;\n$modal-content-bg:                  var(--#{$prefix}body-bg) !default;\n$modal-content-border-color:        var(--#{$prefix}border-color-translucent) !default;\n$modal-content-border-width:        var(--#{$prefix}border-width) !default;\n$modal-content-border-radius:       var(--#{$prefix}border-radius-lg) !default;\n$modal-content-inner-border-radius: subtract($modal-content-border-radius, $modal-content-border-width) !default;\n$modal-content-box-shadow-xs:       var(--#{$prefix}box-shadow-sm) !default;\n$modal-content-box-shadow-sm-up:    var(--#{$prefix}box-shadow) !default;\n\n$modal-backdrop-bg:                 $black !default;\n$modal-backdrop-opacity:            .5 !default;\n\n$modal-header-border-color:         var(--#{$prefix}border-color) !default;\n$modal-header-border-width:         $modal-content-border-width !default;\n$modal-header-padding-y:            $modal-inner-padding !default;\n$modal-header-padding-x:            $modal-inner-padding !default;\n$modal-header-padding:              $modal-header-padding-y $modal-header-padding-x !default; // Keep this for backwards compatibility\n\n$modal-footer-bg:                   null !default;\n$modal-footer-border-color:         $modal-header-border-color !default;\n$modal-footer-border-width:         $modal-header-border-width !default;\n\n$modal-sm:                          300px !default;\n$modal-md:                          500px !default;\n$modal-lg:                          800px !default;\n$modal-xl:                          1140px !default;\n\n$modal-fade-transform:              translate(0, -50px) !default;\n$modal-show-transform:              none !default;\n$modal-transition:                  transform .3s ease-out !default;\n$modal-scale-transform:             scale(1.02) !default;\n// scss-docs-end modal-variables\n\n\n// Alerts\n//\n// Define alert colors, border radius, and padding.\n\n// scss-docs-start alert-variables\n$alert-padding-y:               $spacer !default;\n$alert-padding-x:               $spacer !default;\n$alert-margin-bottom:           1rem !default;\n$alert-border-radius:           var(--#{$prefix}border-radius) !default;\n$alert-link-font-weight:        $font-weight-bold !default;\n$alert-border-width:            var(--#{$prefix}border-width) !default;\n$alert-dismissible-padding-r:   $alert-padding-x * 3 !default; // 3x covers width of x plus default padding on either side\n// scss-docs-end alert-variables\n\n// fusv-disable\n$alert-bg-scale:                -80% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-border-scale:            -70% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-color-scale:             40% !default; // Deprecated in v5.2.0, to be removed in v6\n// fusv-enable\n\n// Progress bars\n\n// scss-docs-start progress-variables\n$progress-height:                   1rem !default;\n$progress-font-size:                $font-size-base * .75 !default;\n$progress-bg:                       var(--#{$prefix}secondary-bg) !default;\n$progress-border-radius:            var(--#{$prefix}border-radius) !default;\n$progress-box-shadow:               var(--#{$prefix}box-shadow-inset) !default;\n$progress-bar-color:                $white !default;\n$progress-bar-bg:                   $primary !default;\n$progress-bar-animation-timing:     1s linear infinite !default;\n$progress-bar-transition:           width .6s ease !default;\n// scss-docs-end progress-variables\n\n\n// List group\n\n// scss-docs-start list-group-variables\n$list-group-color:                  var(--#{$prefix}body-color) !default;\n$list-group-bg:                     var(--#{$prefix}body-bg) !default;\n$list-group-border-color:           var(--#{$prefix}border-color) !default;\n$list-group-border-width:           var(--#{$prefix}border-width) !default;\n$list-group-border-radius:          var(--#{$prefix}border-radius) !default;\n\n$list-group-item-padding-y:         $spacer * .5 !default;\n$list-group-item-padding-x:         $spacer !default;\n// fusv-disable\n$list-group-item-bg-scale:          -80% !default; // Deprecated in v5.3.0\n$list-group-item-color-scale:       40% !default; // Deprecated in v5.3.0\n// fusv-enable\n\n$list-group-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$list-group-active-color:           $component-active-color !default;\n$list-group-active-bg:              $component-active-bg !default;\n$list-group-active-border-color:    $list-group-active-bg !default;\n\n$list-group-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$list-group-disabled-bg:            $list-group-bg !default;\n\n$list-group-action-color:           var(--#{$prefix}secondary-color) !default;\n$list-group-action-hover-color:     var(--#{$prefix}emphasis-color) !default;\n\n$list-group-action-active-color:    var(--#{$prefix}body-color) !default;\n$list-group-action-active-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end list-group-variables\n\n\n// Image thumbnails\n\n// scss-docs-start thumbnail-variables\n$thumbnail-padding:                 .25rem !default;\n$thumbnail-bg:                      var(--#{$prefix}body-bg) !default;\n$thumbnail-border-width:            var(--#{$prefix}border-width) !default;\n$thumbnail-border-color:            var(--#{$prefix}border-color) !default;\n$thumbnail-border-radius:           var(--#{$prefix}border-radius) !default;\n$thumbnail-box-shadow:              var(--#{$prefix}box-shadow-sm) !default;\n// scss-docs-end thumbnail-variables\n\n\n// Figures\n\n// scss-docs-start figure-variables\n$figure-caption-font-size:          $small-font-size !default;\n$figure-caption-color:              var(--#{$prefix}secondary-color) !default;\n// scss-docs-end figure-variables\n\n\n// Breadcrumbs\n\n// scss-docs-start breadcrumb-variables\n$breadcrumb-font-size:              null !default;\n$breadcrumb-padding-y:              0 !default;\n$breadcrumb-padding-x:              0 !default;\n$breadcrumb-item-padding-x:         .5rem !default;\n$breadcrumb-margin-bottom:          1rem !default;\n$breadcrumb-bg:                     null !default;\n$breadcrumb-divider-color:          var(--#{$prefix}secondary-color) !default;\n$breadcrumb-active-color:           var(--#{$prefix}secondary-color) !default;\n$breadcrumb-divider:                quote(\"/\") !default;\n$breadcrumb-divider-flipped:        $breadcrumb-divider !default;\n$breadcrumb-border-radius:          null !default;\n// scss-docs-end breadcrumb-variables\n\n// Carousel\n\n// scss-docs-start carousel-variables\n$carousel-control-color:             $white !default;\n$carousel-control-width:             15% !default;\n$carousel-control-opacity:           .5 !default;\n$carousel-control-hover-opacity:     .9 !default;\n$carousel-control-transition:        opacity .15s ease !default;\n\n$carousel-indicator-width:           30px !default;\n$carousel-indicator-height:          3px !default;\n$carousel-indicator-hit-area-height: 10px !default;\n$carousel-indicator-spacer:          3px !default;\n$carousel-indicator-opacity:         .5 !default;\n$carousel-indicator-active-bg:       $white !default;\n$carousel-indicator-active-opacity:  1 !default;\n$carousel-indicator-transition:      opacity .6s ease !default;\n\n$carousel-caption-width:             70% !default;\n$carousel-caption-color:             $white !default;\n$carousel-caption-padding-y:         1.25rem !default;\n$carousel-caption-spacer:            1.25rem !default;\n\n$carousel-control-icon-width:        2rem !default;\n\n$carousel-control-prev-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/></svg>\") !default;\n$carousel-control-next-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n\n$carousel-transition-duration:       .6s !default;\n$carousel-transition:                transform $carousel-transition-duration ease-in-out !default; // Define transform transition first if using multiple transitions (e.g., `transform 2s ease, opacity .5s ease-out`)\n// scss-docs-end carousel-variables\n\n// scss-docs-start carousel-dark-variables\n$carousel-dark-indicator-active-bg:  $black !default;\n$carousel-dark-caption-color:        $black !default;\n$carousel-dark-control-icon-filter:  invert(1) grayscale(100) !default;\n// scss-docs-end carousel-dark-variables\n\n\n// Spinners\n\n// scss-docs-start spinner-variables\n$spinner-width:           2rem !default;\n$spinner-height:          $spinner-width !default;\n$spinner-vertical-align:  -.125em !default;\n$spinner-border-width:    .25em !default;\n$spinner-animation-speed: .75s !default;\n\n$spinner-width-sm:        1rem !default;\n$spinner-height-sm:       $spinner-width-sm !default;\n$spinner-border-width-sm: .2em !default;\n// scss-docs-end spinner-variables\n\n\n// Close\n\n// scss-docs-start close-variables\n$btn-close-width:            1em !default;\n$btn-close-height:           $btn-close-width !default;\n$btn-close-padding-x:        .25em !default;\n$btn-close-padding-y:        $btn-close-padding-x !default;\n$btn-close-color:            $black !default;\n$btn-close-bg:               url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$btn-close-color}'><path d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/></svg>\") !default;\n$btn-close-focus-shadow:     $focus-ring-box-shadow !default;\n$btn-close-opacity:          .5 !default;\n$btn-close-hover-opacity:    .75 !default;\n$btn-close-focus-opacity:    1 !default;\n$btn-close-disabled-opacity: .25 !default;\n$btn-close-white-filter:     invert(1) grayscale(100%) brightness(200%) !default;\n// scss-docs-end close-variables\n\n\n// Offcanvas\n\n// scss-docs-start offcanvas-variables\n$offcanvas-padding-y:               $modal-inner-padding !default;\n$offcanvas-padding-x:               $modal-inner-padding !default;\n$offcanvas-horizontal-width:        400px !default;\n$offcanvas-vertical-height:         30vh !default;\n$offcanvas-transition-duration:     .3s !default;\n$offcanvas-border-color:            $modal-content-border-color !default;\n$offcanvas-border-width:            $modal-content-border-width !default;\n$offcanvas-title-line-height:       $modal-title-line-height !default;\n$offcanvas-bg-color:                var(--#{$prefix}body-bg) !default;\n$offcanvas-color:                   var(--#{$prefix}body-color) !default;\n$offcanvas-box-shadow:              $modal-content-box-shadow-xs !default;\n$offcanvas-backdrop-bg:             $modal-backdrop-bg !default;\n$offcanvas-backdrop-opacity:        $modal-backdrop-opacity !default;\n// scss-docs-end offcanvas-variables\n\n// Code\n\n$code-font-size:                    $small-font-size !default;\n$code-color:                        $pink !default;\n\n$kbd-padding-y:                     .1875rem !default;\n$kbd-padding-x:                     .375rem !default;\n$kbd-font-size:                     $code-font-size !default;\n$kbd-color:                         var(--#{$prefix}body-bg) !default;\n$kbd-bg:                            var(--#{$prefix}body-color) !default;\n$nested-kbd-font-weight:            null !default; // Deprecated in v5.2.0, removing in v6\n\n$pre-color:                         null !default;\n\n@import \"variables-dark\"; // TODO: can be removed safely in v6, only here to avoid breaking changes in v5.3\n","// stylelint-disable property-disallowed-list\n// Single side border-radius\n\n// Helper function to replace negative values with 0\n@function valid-radius($radius) {\n  $return: ();\n  @each $value in $radius {\n    @if type-of($value) == number {\n      $return: append($return, max($value, 0));\n    } @else {\n      $return: append($return, $value);\n    }\n  }\n  @return $return;\n}\n\n// scss-docs-start border-radius-mixins\n@mixin border-radius($radius: $border-radius, $fallback-border-radius: false) {\n  @if $enable-rounded {\n    border-radius: valid-radius($radius);\n  }\n  @else if $fallback-border-radius != false {\n    border-radius: $fallback-border-radius;\n  }\n}\n\n@mixin border-top-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-left-radius: valid-radius($radius);\n    border-top-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-end-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-right-radius: valid-radius($radius);\n    border-bottom-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-bottom-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-bottom-right-radius: valid-radius($radius);\n    border-bottom-left-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-start-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-left-radius: valid-radius($radius);\n    border-bottom-left-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-top-start-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-left-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-top-end-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-bottom-end-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-bottom-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-bottom-start-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-bottom-left-radius: valid-radius($radius);\n  }\n}\n// scss-docs-end border-radius-mixins\n","//\n// Headings\n//\n.h1 {\n  @extend h1;\n}\n\n.h2 {\n  @extend h2;\n}\n\n.h3 {\n  @extend h3;\n}\n\n.h4 {\n  @extend h4;\n}\n\n.h5 {\n  @extend h5;\n}\n\n.h6 {\n  @extend h6;\n}\n\n\n.lead {\n  @include font-size($lead-font-size);\n  font-weight: $lead-font-weight;\n}\n\n// Type display classes\n@each $display, $font-size in $display-font-sizes {\n  .display-#{$display} {\n    @include font-size($font-size);\n    font-family: $display-font-family;\n    font-style: $display-font-style;\n    font-weight: $display-font-weight;\n    line-height: $display-line-height;\n  }\n}\n\n//\n// Emphasis\n//\n.small {\n  @extend small;\n}\n\n.mark {\n  @extend mark;\n}\n\n//\n// Lists\n//\n\n.list-unstyled {\n  @include list-unstyled();\n}\n\n// Inline turns list items into inline-block\n.list-inline {\n  @include list-unstyled();\n}\n.list-inline-item {\n  display: inline-block;\n\n  &:not(:last-child) {\n    margin-right: $list-inline-padding;\n  }\n}\n\n\n//\n// Misc\n//\n\n// Builds on `abbr`\n.initialism {\n  @include font-size($initialism-font-size);\n  text-transform: uppercase;\n}\n\n// Blockquotes\n.blockquote {\n  margin-bottom: $blockquote-margin-y;\n  @include font-size($blockquote-font-size);\n\n  > :last-child {\n    margin-bottom: 0;\n  }\n}\n\n.blockquote-footer {\n  margin-top: -$blockquote-margin-y;\n  margin-bottom: $blockquote-margin-y;\n  @include font-size($blockquote-footer-font-size);\n  color: $blockquote-footer-color;\n\n  &::before {\n    content: \"\\2014\\00A0\"; // em dash, nbsp\n  }\n}\n","// Lists\n\n// Unstyled keeps list items block level, just removes default browser padding and list-style\n@mixin list-unstyled {\n  padding-left: 0;\n  list-style: none;\n}\n","// Override bootstrap variables\n$spacer: 1rem;\n$container-max-widths: (\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1400px,\n);\n$grid-breakpoints: (\n  xs: 0,\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1200px,\n);\n$dropdown-link-hover-bg: var(--pst-color-surface);\n\n// --pst-color-surface can also be assigned to the dark variant because it is\n// scoped to different values depending on light/dark theme\n$dropdown-dark-link-hover-bg: var(--pst-color-surface);\n$dropdown-link-active-bg: var(--pst-color-surface);\n$dropdown-dark-link-active-bg: var(--pst-color-surface);\n$focus-ring-width: 0.1875rem; // 3px at 100% zoom (0.1875 * 16px base font = 3px)\n$focus-ring-opacity: 1;\n$focus-ring-color: var(--pst-color-accent);\n$focus-ring-blur: 0;\n$focus-ring-box-shadow: 0 0 $focus-ring-blur $focus-ring-width $focus-ring-color;\n\n// outline creates the same style of focus ring, it just uses CSS outline instead of box shadow\n$focus-ring-outline: $focus-ring-color solid $focus-ring-width;\n$btn-focus-box-shadow: $focus-ring-box-shadow;\n","// Responsive images (ensure images don't scale beyond their parents)\n//\n// This is purposefully opt-in via an explicit class rather than being the default for all `<img>`s.\n// We previously tried the \"images are responsive by default\" approach in Bootstrap v2,\n// and abandoned it in Bootstrap v3 because it breaks lots of third-party widgets (including Google Maps)\n// which weren't expecting the images within themselves to be involuntarily resized.\n// See also https://github.com/twbs/bootstrap/issues/18178\n.img-fluid {\n  @include img-fluid();\n}\n\n\n// Image thumbnails\n.img-thumbnail {\n  padding: $thumbnail-padding;\n  background-color: $thumbnail-bg;\n  border: $thumbnail-border-width solid $thumbnail-border-color;\n  @include border-radius($thumbnail-border-radius);\n  @include box-shadow($thumbnail-box-shadow);\n\n  // Keep them at most 100% wide\n  @include img-fluid();\n}\n\n//\n// Figures\n//\n\n.figure {\n  // Ensures the caption's text aligns with the image.\n  display: inline-block;\n}\n\n.figure-img {\n  margin-bottom: $spacer * .5;\n  line-height: 1;\n}\n\n.figure-caption {\n  @include font-size($figure-caption-font-size);\n  color: $figure-caption-color;\n}\n","// Image Mixins\n// - Responsive image\n// - Retina image\n\n\n// Responsive image\n//\n// Keep images from scaling beyond the width of their parents.\n\n@mixin img-fluid {\n  // Part 1: Set a maximum relative to the parent\n  max-width: 100%;\n  // Part 2: Override the height to auto, otherwise images will be stretched\n  // when setting a width and height attribute on the img element.\n  height: auto;\n}\n","// Container widths\n//\n// Set the container width, and override it for fixed navbars in media queries.\n\n@if $enable-container-classes {\n  // Single container class with breakpoint max-widths\n  .container,\n  // 100% wide container at all breakpoints\n  .container-fluid {\n    @include make-container();\n  }\n\n  // Responsive containers that are 100% wide until a breakpoint\n  @each $breakpoint, $container-max-width in $container-max-widths {\n    .container-#{$breakpoint} {\n      @extend .container-fluid;\n    }\n\n    @include media-breakpoint-up($breakpoint, $grid-breakpoints) {\n      %responsive-container-#{$breakpoint} {\n        max-width: $container-max-width;\n      }\n\n      // Extend each breakpoint which is smaller or equal to the current breakpoint\n      $extend-breakpoint: true;\n\n      @each $name, $width in $grid-breakpoints {\n        @if ($extend-breakpoint) {\n          .container#{breakpoint-infix($name, $grid-breakpoints)} {\n            @extend %responsive-container-#{$breakpoint};\n          }\n\n          // Once the current breakpoint is reached, stop extending\n          @if ($breakpoint == $name) {\n            $extend-breakpoint: false;\n          }\n        }\n      }\n    }\n  }\n}\n","// Container mixins\n\n@mixin make-container($gutter: $container-padding-x) {\n  --#{$prefix}gutter-x: #{$gutter};\n  --#{$prefix}gutter-y: 0;\n  width: 100%;\n  padding-right: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  padding-left: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  margin-right: auto;\n  margin-left: auto;\n}\n","// Breakpoint viewport sizes and media queries.\n//\n// Breakpoints are defined as a map of (name: minimum width), order from small to large:\n//\n//    (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px)\n//\n// The map defined in the `$grid-breakpoints` global variable is used as the `$breakpoints` argument by default.\n\n// Name of the next breakpoint, or null for the last breakpoint.\n//\n//    >> breakpoint-next(sm)\n//    md\n//    >> breakpoint-next(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    md\n//    >> breakpoint-next(sm, $breakpoint-names: (xs sm md lg xl xxl))\n//    md\n@function breakpoint-next($name, $breakpoints: $grid-breakpoints, $breakpoint-names: map-keys($breakpoints)) {\n  $n: index($breakpoint-names, $name);\n  @if not $n {\n    @error \"breakpoint `#{$name}` not found in `#{$breakpoints}`\";\n  }\n  @return if($n < length($breakpoint-names), nth($breakpoint-names, $n + 1), null);\n}\n\n// Minimum breakpoint width. Null for the smallest (first) breakpoint.\n//\n//    >> breakpoint-min(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    576px\n@function breakpoint-min($name, $breakpoints: $grid-breakpoints) {\n  $min: map-get($breakpoints, $name);\n  @return if($min != 0, $min, null);\n}\n\n// Maximum breakpoint width.\n// The maximum value is reduced by 0.02px to work around the limitations of\n// `min-` and `max-` prefixes and viewports with fractional widths.\n// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max\n// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.\n// See https://bugs.webkit.org/show_bug.cgi?id=178261\n//\n//    >> breakpoint-max(md, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    767.98px\n@function breakpoint-max($name, $breakpoints: $grid-breakpoints) {\n  $max: map-get($breakpoints, $name);\n  @return if($max and $max > 0, $max - .02, null);\n}\n\n// Returns a blank string if smallest breakpoint, otherwise returns the name with a dash in front.\n// Useful for making responsive utilities.\n//\n//    >> breakpoint-infix(xs, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"\"  (Returns a blank string)\n//    >> breakpoint-infix(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"-sm\"\n@function breakpoint-infix($name, $breakpoints: $grid-breakpoints) {\n  @return if(breakpoint-min($name, $breakpoints) == null, \"\", \"-#{$name}\");\n}\n\n// Media of at least the minimum breakpoint width. No query for the smallest breakpoint.\n// Makes the @content apply to the given breakpoint and wider.\n@mixin media-breakpoint-up($name, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($name, $breakpoints);\n  @if $min {\n    @media (min-width: $min) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media of at most the maximum breakpoint width. No query for the largest breakpoint.\n// Makes the @content apply to the given breakpoint and narrower.\n@mixin media-breakpoint-down($name, $breakpoints: $grid-breakpoints) {\n  $max: breakpoint-max($name, $breakpoints);\n  @if $max {\n    @media (max-width: $max) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media that spans multiple breakpoint widths.\n// Makes the @content apply between the min and max breakpoints\n@mixin media-breakpoint-between($lower, $upper, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($lower, $breakpoints);\n  $max: breakpoint-max($upper, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($lower, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($upper, $breakpoints) {\n      @content;\n    }\n  }\n}\n\n// Media between the breakpoint's minimum and maximum widths.\n// No minimum for the smallest breakpoint, and no maximum for the largest one.\n// Makes the @content apply only to the given breakpoint, not viewports any wider or narrower.\n@mixin media-breakpoint-only($name, $breakpoints: $grid-breakpoints) {\n  $min:  breakpoint-min($name, $breakpoints);\n  $next: breakpoint-next($name, $breakpoints);\n  $max:  breakpoint-max($next, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($name, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($next, $breakpoints) {\n      @content;\n    }\n  }\n}\n","// Row\n//\n// Rows contain your columns.\n\n:root {\n  @each $name, $value in $grid-breakpoints {\n    --#{$prefix}breakpoint-#{$name}: #{$value};\n  }\n}\n\n@if $enable-grid-classes {\n  .row {\n    @include make-row();\n\n    > * {\n      @include make-col-ready();\n    }\n  }\n}\n\n@if $enable-cssgrid {\n  .grid {\n    display: grid;\n    grid-template-rows: repeat(var(--#{$prefix}rows, 1), 1fr);\n    grid-template-columns: repeat(var(--#{$prefix}columns, #{$grid-columns}), 1fr);\n    gap: var(--#{$prefix}gap, #{$grid-gutter-width});\n\n    @include make-cssgrid();\n  }\n}\n\n\n// Columns\n//\n// Common styles for small and large grid columns\n\n@if $enable-grid-classes {\n  @include make-grid-columns();\n}\n","// Grid system\n//\n// Generate semantic grid columns with these mixins.\n\n@mixin make-row($gutter: $grid-gutter-width) {\n  --#{$prefix}gutter-x: #{$gutter};\n  --#{$prefix}gutter-y: 0;\n  display: flex;\n  flex-wrap: wrap;\n  // TODO: Revisit calc order after https://github.com/react-bootstrap/react-bootstrap/issues/6039 is fixed\n  margin-top: calc(-1 * var(--#{$prefix}gutter-y)); // stylelint-disable-line function-disallowed-list\n  margin-right: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n}\n\n@mixin make-col-ready() {\n  // Add box sizing if only the grid is loaded\n  box-sizing: if(variable-exists(include-column-box-sizing) and $include-column-box-sizing, border-box, null);\n  // Prevent columns from becoming too narrow when at smaller grid tiers by\n  // always setting `width: 100%;`. This works because we set the width\n  // later on to override this initial width.\n  flex-shrink: 0;\n  width: 100%;\n  max-width: 100%; // Prevent `.col-auto`, `.col` (& responsive variants) from breaking out the grid\n  padding-right: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  padding-left: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  margin-top: var(--#{$prefix}gutter-y);\n}\n\n@mixin make-col($size: false, $columns: $grid-columns) {\n  @if $size {\n    flex: 0 0 auto;\n    width: percentage(divide($size, $columns));\n\n  } @else {\n    flex: 1 1 0;\n    max-width: 100%;\n  }\n}\n\n@mixin make-col-auto() {\n  flex: 0 0 auto;\n  width: auto;\n}\n\n@mixin make-col-offset($size, $columns: $grid-columns) {\n  $num: divide($size, $columns);\n  margin-left: if($num == 0, 0, percentage($num));\n}\n\n// Row columns\n//\n// Specify on a parent element(e.g., .row) to force immediate children into NN\n// number of columns. Supports wrapping to new lines, but does not do a Masonry\n// style grid.\n@mixin row-cols($count) {\n  > * {\n    flex: 0 0 auto;\n    width: percentage(divide(1, $count));\n  }\n}\n\n// Framework grid generation\n//\n// Used only by Bootstrap to generate the correct number of grid classes given\n// any value of `$grid-columns`.\n\n@mixin make-grid-columns($columns: $grid-columns, $gutter: $grid-gutter-width, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      // Provide basic `.col-{bp}` classes for equal-width flexbox columns\n      .col#{$infix} {\n        flex: 1 0 0%; // Flexbugs #4: https://github.com/philipwalton/flexbugs#flexbug-4\n      }\n\n      .row-cols#{$infix}-auto > * {\n        @include make-col-auto();\n      }\n\n      @if $grid-row-columns > 0 {\n        @for $i from 1 through $grid-row-columns {\n          .row-cols#{$infix}-#{$i} {\n            @include row-cols($i);\n          }\n        }\n      }\n\n      .col#{$infix}-auto {\n        @include make-col-auto();\n      }\n\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .col#{$infix}-#{$i} {\n            @include make-col($i, $columns);\n          }\n        }\n\n        // `$columns - 1` because offsetting by the width of an entire row isn't possible\n        @for $i from 0 through ($columns - 1) {\n          @if not ($infix == \"\" and $i == 0) { // Avoid emitting useless .offset-0\n            .offset#{$infix}-#{$i} {\n              @include make-col-offset($i, $columns);\n            }\n          }\n        }\n      }\n\n      // Gutters\n      //\n      // Make use of `.g-*`, `.gx-*` or `.gy-*` utilities to change spacing between the columns.\n      @each $key, $value in $gutters {\n        .g#{$infix}-#{$key},\n        .gx#{$infix}-#{$key} {\n          --#{$prefix}gutter-x: #{$value};\n        }\n\n        .g#{$infix}-#{$key},\n        .gy#{$infix}-#{$key} {\n          --#{$prefix}gutter-y: #{$value};\n        }\n      }\n    }\n  }\n}\n\n@mixin make-cssgrid($columns: $grid-columns, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .g-col#{$infix}-#{$i} {\n            grid-column: auto / span $i;\n          }\n        }\n\n        // Start with `1` because `0` is an invalid value.\n        // Ends with `$columns - 1` because offsetting by the width of an entire row isn't possible.\n        @for $i from 1 through ($columns - 1) {\n          .g-start#{$infix}-#{$i} {\n            grid-column-start: $i;\n          }\n        }\n      }\n    }\n  }\n}\n","//\n// Basic Bootstrap table\n//\n\n.table {\n  // Reset needed for nesting tables\n  --#{$prefix}table-color-type: initial;\n  --#{$prefix}table-bg-type: initial;\n  --#{$prefix}table-color-state: initial;\n  --#{$prefix}table-bg-state: initial;\n  // End of reset\n  --#{$prefix}table-color: #{$table-color};\n  --#{$prefix}table-bg: #{$table-bg};\n  --#{$prefix}table-border-color: #{$table-border-color};\n  --#{$prefix}table-accent-bg: #{$table-accent-bg};\n  --#{$prefix}table-striped-color: #{$table-striped-color};\n  --#{$prefix}table-striped-bg: #{$table-striped-bg};\n  --#{$prefix}table-active-color: #{$table-active-color};\n  --#{$prefix}table-active-bg: #{$table-active-bg};\n  --#{$prefix}table-hover-color: #{$table-hover-color};\n  --#{$prefix}table-hover-bg: #{$table-hover-bg};\n\n  width: 100%;\n  margin-bottom: $spacer;\n  vertical-align: $table-cell-vertical-align;\n  border-color: var(--#{$prefix}table-border-color);\n\n  // Target th & td\n  // We need the child combinator to prevent styles leaking to nested tables which doesn't have a `.table` class.\n  // We use the universal selectors here to simplify the selector (else we would need 6 different selectors).\n  // Another advantage is that this generates less code and makes the selector less specific making it easier to override.\n  // stylelint-disable-next-line selector-max-universal\n  > :not(caption) > * > * {\n    padding: $table-cell-padding-y $table-cell-padding-x;\n    // Following the precept of cascades: https://codepen.io/miriamsuzanne/full/vYNgodb\n    color: var(--#{$prefix}table-color-state, var(--#{$prefix}table-color-type, var(--#{$prefix}table-color)));\n    background-color: var(--#{$prefix}table-bg);\n    border-bottom-width: $table-border-width;\n    box-shadow: inset 0 0 0 9999px var(--#{$prefix}table-bg-state, var(--#{$prefix}table-bg-type, var(--#{$prefix}table-accent-bg)));\n  }\n\n  > tbody {\n    vertical-align: inherit;\n  }\n\n  > thead {\n    vertical-align: bottom;\n  }\n}\n\n.table-group-divider {\n  border-top: calc(#{$table-border-width} * 2) solid $table-group-separator-color; // stylelint-disable-line function-disallowed-list\n}\n\n//\n// Change placement of captions with a class\n//\n\n.caption-top {\n  caption-side: top;\n}\n\n\n//\n// Condensed table w/ half padding\n//\n\n.table-sm {\n  // stylelint-disable-next-line selector-max-universal\n  > :not(caption) > * > * {\n    padding: $table-cell-padding-y-sm $table-cell-padding-x-sm;\n  }\n}\n\n\n// Border versions\n//\n// Add or remove borders all around the table and between all the columns.\n//\n// When borders are added on all sides of the cells, the corners can render odd when\n// these borders do not have the same color or if they are semi-transparent.\n// Therefore we add top and border bottoms to the `tr`s and left and right borders\n// to the `td`s or `th`s\n\n.table-bordered {\n  > :not(caption) > * {\n    border-width: $table-border-width 0;\n\n    // stylelint-disable-next-line selector-max-universal\n    > * {\n      border-width: 0 $table-border-width;\n    }\n  }\n}\n\n.table-borderless {\n  // stylelint-disable-next-line selector-max-universal\n  > :not(caption) > * > * {\n    border-bottom-width: 0;\n  }\n\n  > :not(:first-child) {\n    border-top-width: 0;\n  }\n}\n\n// Zebra-striping\n//\n// Default zebra-stripe styles (alternating gray and transparent backgrounds)\n\n// For rows\n.table-striped {\n  > tbody > tr:nth-of-type(#{$table-striped-order}) > * {\n    --#{$prefix}table-color-type: var(--#{$prefix}table-striped-color);\n    --#{$prefix}table-bg-type: var(--#{$prefix}table-striped-bg);\n  }\n}\n\n// For columns\n.table-striped-columns {\n  > :not(caption) > tr > :nth-child(#{$table-striped-columns-order}) {\n    --#{$prefix}table-color-type: var(--#{$prefix}table-striped-color);\n    --#{$prefix}table-bg-type: var(--#{$prefix}table-striped-bg);\n  }\n}\n\n// Active table\n//\n// The `.table-active` class can be added to highlight rows or cells\n\n.table-active {\n  --#{$prefix}table-color-state: var(--#{$prefix}table-active-color);\n  --#{$prefix}table-bg-state: var(--#{$prefix}table-active-bg);\n}\n\n// Hover effect\n//\n// Placed here since it has to come after the potential zebra striping\n\n.table-hover {\n  > tbody > tr:hover > * {\n    --#{$prefix}table-color-state: var(--#{$prefix}table-hover-color);\n    --#{$prefix}table-bg-state: var(--#{$prefix}table-hover-bg);\n  }\n}\n\n\n// Table variants\n//\n// Table variants set the table cell backgrounds, border colors\n// and the colors of the striped, hovered & active tables\n\n@each $color, $value in $table-variants {\n  @include table-variant($color, $value);\n}\n\n// Responsive tables\n//\n// Generate series of `.table-responsive-*` classes for configuring the screen\n// size of where your table will overflow.\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n  @include media-breakpoint-down($breakpoint) {\n    .table-responsive#{$infix} {\n      overflow-x: auto;\n      -webkit-overflow-scrolling: touch;\n    }\n  }\n}\n","// scss-docs-start table-variant\n@mixin table-variant($state, $background) {\n  .table-#{$state} {\n    $color: color-contrast(opaque($body-bg, $background));\n    $hover-bg: mix($color, $background, percentage($table-hover-bg-factor));\n    $striped-bg: mix($color, $background, percentage($table-striped-bg-factor));\n    $active-bg: mix($color, $background, percentage($table-active-bg-factor));\n    $table-border-color: mix($color, $background, percentage($table-border-factor));\n\n    --#{$prefix}table-color: #{$color};\n    --#{$prefix}table-bg: #{$background};\n    --#{$prefix}table-border-color: #{$table-border-color};\n    --#{$prefix}table-striped-bg: #{$striped-bg};\n    --#{$prefix}table-striped-color: #{color-contrast($striped-bg)};\n    --#{$prefix}table-active-bg: #{$active-bg};\n    --#{$prefix}table-active-color: #{color-contrast($active-bg)};\n    --#{$prefix}table-hover-bg: #{$hover-bg};\n    --#{$prefix}table-hover-color: #{color-contrast($hover-bg)};\n\n    color: var(--#{$prefix}table-color);\n    border-color: var(--#{$prefix}table-border-color);\n  }\n}\n// scss-docs-end table-variant\n","//\n// Labels\n//\n\n.form-label {\n  margin-bottom: $form-label-margin-bottom;\n  @include font-size($form-label-font-size);\n  font-style: $form-label-font-style;\n  font-weight: $form-label-font-weight;\n  color: $form-label-color;\n}\n\n// For use with horizontal and inline forms, when you need the label (or legend)\n// text to align with the form controls.\n.col-form-label {\n  padding-top: add($input-padding-y, $input-border-width);\n  padding-bottom: add($input-padding-y, $input-border-width);\n  margin-bottom: 0; // Override the `<legend>` default\n  @include font-size(inherit); // Override the `<legend>` default\n  font-style: $form-label-font-style;\n  font-weight: $form-label-font-weight;\n  line-height: $input-line-height;\n  color: $form-label-color;\n}\n\n.col-form-label-lg {\n  padding-top: add($input-padding-y-lg, $input-border-width);\n  padding-bottom: add($input-padding-y-lg, $input-border-width);\n  @include font-size($input-font-size-lg);\n}\n\n.col-form-label-sm {\n  padding-top: add($input-padding-y-sm, $input-border-width);\n  padding-bottom: add($input-padding-y-sm, $input-border-width);\n  @include font-size($input-font-size-sm);\n}\n","//\n// Form text\n//\n\n.form-text {\n  margin-top: $form-text-margin-top;\n  @include font-size($form-text-font-size);\n  font-style: $form-text-font-style;\n  font-weight: $form-text-font-weight;\n  color: $form-text-color;\n}\n","//\n// General form controls (plus a few specific high-level interventions)\n//\n\n.form-control {\n  display: block;\n  width: 100%;\n  padding: $input-padding-y $input-padding-x;\n  font-family: $input-font-family;\n  @include font-size($input-font-size);\n  font-weight: $input-font-weight;\n  line-height: $input-line-height;\n  color: $input-color;\n  appearance: none; // Fix appearance for date inputs in Safari\n  background-color: $input-bg;\n  background-clip: padding-box;\n  border: $input-border-width solid $input-border-color;\n\n  // Note: This has no effect on <select>s in some browsers, due to the limited stylability of `<select>`s in CSS.\n  @include border-radius($input-border-radius, 0);\n\n  @include box-shadow($input-box-shadow);\n  @include transition($input-transition);\n\n  &[type=\"file\"] {\n    overflow: hidden; // prevent pseudo element button overlap\n\n    &:not(:disabled):not([readonly]) {\n      cursor: pointer;\n    }\n  }\n\n  // Customize the `:focus` state to imitate native WebKit styles.\n  &:focus {\n    color: $input-focus-color;\n    background-color: $input-focus-bg;\n    border-color: $input-focus-border-color;\n    outline: 0;\n    @if $enable-shadows {\n      @include box-shadow($input-box-shadow, $input-focus-box-shadow);\n    } @else {\n      // Avoid using mixin so we can pass custom focus shadow properly\n      box-shadow: $input-focus-box-shadow;\n    }\n  }\n\n  &::-webkit-date-and-time-value {\n    // On Android Chrome, form-control's \"width: 100%\" makes the input width too small\n    // Tested under Android 11 / Chrome 89, Android 12 / Chrome 100, Android 13 / Chrome 109\n    //\n    // On iOS Safari, form-control's \"appearance: none\" + \"width: 100%\" makes the input width too small\n    // Tested under iOS 16.2 / Safari 16.2\n    min-width: 85px; // Seems to be a good minimum safe width\n\n    // Add some height to date inputs on iOS\n    // https://github.com/twbs/bootstrap/issues/23307\n    // TODO: we can remove this workaround once https://bugs.webkit.org/show_bug.cgi?id=198959 is resolved\n    // Multiply line-height by 1em if it has no unit\n    height: if(unit($input-line-height) == \"\", $input-line-height * 1em, $input-line-height);\n\n    // Android Chrome type=\"date\" is taller than the other inputs\n    // because of \"margin: 1px 24px 1px 4px\" inside the shadow DOM\n    // Tested under Android 11 / Chrome 89, Android 12 / Chrome 100, Android 13 / Chrome 109\n    margin: 0;\n  }\n\n  // Prevent excessive date input height in Webkit\n  // https://github.com/twbs/bootstrap/issues/34433\n  &::-webkit-datetime-edit {\n    display: block;\n    padding: 0;\n  }\n\n  // Placeholder\n  &::placeholder {\n    color: $input-placeholder-color;\n    // Override Firefox's unusual default opacity; see https://github.com/twbs/bootstrap/pull/11526.\n    opacity: 1;\n  }\n\n  // Disabled 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    color: $input-disabled-color;\n    background-color: $input-disabled-bg;\n    border-color: $input-disabled-border-color;\n    // iOS fix for unreadable disabled content; see https://github.com/twbs/bootstrap/issues/11655.\n    opacity: 1;\n  }\n\n  // File input buttons theming\n  &::file-selector-button {\n    padding: $input-padding-y $input-padding-x;\n    margin: (-$input-padding-y) (-$input-padding-x);\n    margin-inline-end: $input-padding-x;\n    color: $form-file-button-color;\n    @include gradient-bg($form-file-button-bg);\n    pointer-events: none;\n    border-color: inherit;\n    border-style: solid;\n    border-width: 0;\n    border-inline-end-width: $input-border-width;\n    border-radius: 0; // stylelint-disable-line property-disallowed-list\n    @include transition($btn-transition);\n  }\n\n  &:hover:not(:disabled):not([readonly])::file-selector-button {\n    background-color: $form-file-button-hover-bg;\n  }\n}\n\n// Readonly controls as plain text\n//\n// Apply class to a readonly input to make it appear like regular plain\n// text (without any border, background color, focus indicator)\n\n.form-control-plaintext {\n  display: block;\n  width: 100%;\n  padding: $input-padding-y 0;\n  margin-bottom: 0; // match inputs if this class comes on inputs with default margins\n  line-height: $input-line-height;\n  color: $input-plaintext-color;\n  background-color: transparent;\n  border: solid transparent;\n  border-width: $input-border-width 0;\n\n  &:focus {\n    outline: 0;\n  }\n\n  &.form-control-sm,\n  &.form-control-lg {\n    padding-right: 0;\n    padding-left: 0;\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// Repeated in `_input_group.scss` to avoid Sass extend issues.\n\n.form-control-sm {\n  min-height: $input-height-sm;\n  padding: $input-padding-y-sm $input-padding-x-sm;\n  @include font-size($input-font-size-sm);\n  @include border-radius($input-border-radius-sm);\n\n  &::file-selector-button {\n    padding: $input-padding-y-sm $input-padding-x-sm;\n    margin: (-$input-padding-y-sm) (-$input-padding-x-sm);\n    margin-inline-end: $input-padding-x-sm;\n  }\n}\n\n.form-control-lg {\n  min-height: $input-height-lg;\n  padding: $input-padding-y-lg $input-padding-x-lg;\n  @include font-size($input-font-size-lg);\n  @include border-radius($input-border-radius-lg);\n\n  &::file-selector-button {\n    padding: $input-padding-y-lg $input-padding-x-lg;\n    margin: (-$input-padding-y-lg) (-$input-padding-x-lg);\n    margin-inline-end: $input-padding-x-lg;\n  }\n}\n\n// Make sure textareas don't shrink too much when resized\n// https://github.com/twbs/bootstrap/pull/29124\n// stylelint-disable selector-no-qualifying-type\ntextarea {\n  &.form-control {\n    min-height: $input-height;\n  }\n\n  &.form-control-sm {\n    min-height: $input-height-sm;\n  }\n\n  &.form-control-lg {\n    min-height: $input-height-lg;\n  }\n}\n// stylelint-enable selector-no-qualifying-type\n\n.form-control-color {\n  width: $form-color-width;\n  height: $input-height;\n  padding: $input-padding-y;\n\n  &:not(:disabled):not([readonly]) {\n    cursor: pointer;\n  }\n\n  &::-moz-color-swatch {\n    border: 0 !important; // stylelint-disable-line declaration-no-important\n    @include border-radius($input-border-radius);\n  }\n\n  &::-webkit-color-swatch {\n    border: 0 !important; // stylelint-disable-line declaration-no-important\n    @include border-radius($input-border-radius);\n  }\n\n  &.form-control-sm { height: $input-height-sm; }\n  &.form-control-lg { height: $input-height-lg; }\n}\n","// stylelint-disable property-disallowed-list\n@mixin transition($transition...) {\n  @if length($transition) == 0 {\n    $transition: $transition-base;\n  }\n\n  @if length($transition) > 1 {\n    @each $value in $transition {\n      @if $value == null or $value == none {\n        @warn \"The keyword 'none' or 'null' must be used as a single argument.\";\n      }\n    }\n  }\n\n  @if $enable-transitions {\n    @if nth($transition, 1) != null {\n      transition: $transition;\n    }\n\n    @if $enable-reduced-motion and nth($transition, 1) != null and nth($transition, 1) != none {\n      @media (prefers-reduced-motion: reduce) {\n        transition: none;\n      }\n    }\n  }\n}\n","// Gradients\n\n// scss-docs-start gradient-bg-mixin\n@mixin gradient-bg($color: null) {\n  background-color: $color;\n\n  @if $enable-gradients {\n    background-image: var(--#{$prefix}gradient);\n  }\n}\n// scss-docs-end gradient-bg-mixin\n\n// scss-docs-start gradient-mixins\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@mixin gradient-x($start-color: $gray-700, $end-color: $gray-800, $start-percent: 0%, $end-percent: 100%) {\n  background-image: linear-gradient(to right, $start-color $start-percent, $end-color $end-percent);\n}\n\n// Vertical gradient, from top to bottom\n//\n// Creates two color stops, start and end, by specifying a color and position for each color stop.\n@mixin gradient-y($start-color: $gray-700, $end-color: $gray-800, $start-percent: null, $end-percent: null) {\n  background-image: linear-gradient(to bottom, $start-color $start-percent, $end-color $end-percent);\n}\n\n@mixin gradient-directional($start-color: $gray-700, $end-color: $gray-800, $deg: 45deg) {\n  background-image: linear-gradient($deg, $start-color, $end-color);\n}\n\n@mixin gradient-x-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {\n  background-image: linear-gradient(to right, $start-color, $mid-color $color-stop, $end-color);\n}\n\n@mixin gradient-y-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {\n  background-image: linear-gradient($start-color, $mid-color $color-stop, $end-color);\n}\n\n@mixin gradient-radial($inner-color: $gray-700, $outer-color: $gray-800) {\n  background-image: radial-gradient(circle, $inner-color, $outer-color);\n}\n\n@mixin gradient-striped($color: rgba($white, .15), $angle: 45deg) {\n  background-image: linear-gradient($angle, $color 25%, transparent 25%, transparent 50%, $color 50%, $color 75%, transparent 75%, transparent);\n}\n// scss-docs-end gradient-mixins\n","// Select\n//\n// Replaces the browser default select with a custom one, mostly pulled from\n// https://primer.github.io/.\n\n.form-select {\n  --#{$prefix}form-select-bg-img: #{escape-svg($form-select-indicator)};\n\n  display: block;\n  width: 100%;\n  padding: $form-select-padding-y $form-select-indicator-padding $form-select-padding-y $form-select-padding-x;\n  font-family: $form-select-font-family;\n  @include font-size($form-select-font-size);\n  font-weight: $form-select-font-weight;\n  line-height: $form-select-line-height;\n  color: $form-select-color;\n  appearance: none;\n  background-color: $form-select-bg;\n  background-image: var(--#{$prefix}form-select-bg-img), var(--#{$prefix}form-select-bg-icon, none);\n  background-repeat: no-repeat;\n  background-position: $form-select-bg-position;\n  background-size: $form-select-bg-size;\n  border: $form-select-border-width solid $form-select-border-color;\n  @include border-radius($form-select-border-radius, 0);\n  @include box-shadow($form-select-box-shadow);\n  @include transition($form-select-transition);\n\n  &:focus {\n    border-color: $form-select-focus-border-color;\n    outline: 0;\n    @if $enable-shadows {\n      @include box-shadow($form-select-box-shadow, $form-select-focus-box-shadow);\n    } @else {\n      // Avoid using mixin so we can pass custom focus shadow properly\n      box-shadow: $form-select-focus-box-shadow;\n    }\n  }\n\n  &[multiple],\n  &[size]:not([size=\"1\"]) {\n    padding-right: $form-select-padding-x;\n    background-image: none;\n  }\n\n  &:disabled {\n    color: $form-select-disabled-color;\n    background-color: $form-select-disabled-bg;\n    border-color: $form-select-disabled-border-color;\n  }\n\n  // Remove outline from select box in FF\n  &:-moz-focusring {\n    color: transparent;\n    text-shadow: 0 0 0 $form-select-color;\n  }\n}\n\n.form-select-sm {\n  padding-top: $form-select-padding-y-sm;\n  padding-bottom: $form-select-padding-y-sm;\n  padding-left: $form-select-padding-x-sm;\n  @include font-size($form-select-font-size-sm);\n  @include border-radius($form-select-border-radius-sm);\n}\n\n.form-select-lg {\n  padding-top: $form-select-padding-y-lg;\n  padding-bottom: $form-select-padding-y-lg;\n  padding-left: $form-select-padding-x-lg;\n  @include font-size($form-select-font-size-lg);\n  @include border-radius($form-select-border-radius-lg);\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .form-select {\n      --#{$prefix}form-select-bg-img: #{escape-svg($form-select-indicator-dark)};\n    }\n  }\n}\n","//\n// Check/radio\n//\n\n.form-check {\n  display: block;\n  min-height: $form-check-min-height;\n  padding-left: $form-check-padding-start;\n  margin-bottom: $form-check-margin-bottom;\n\n  .form-check-input {\n    float: left;\n    margin-left: $form-check-padding-start * -1;\n  }\n}\n\n.form-check-reverse {\n  padding-right: $form-check-padding-start;\n  padding-left: 0;\n  text-align: right;\n\n  .form-check-input {\n    float: right;\n    margin-right: $form-check-padding-start * -1;\n    margin-left: 0;\n  }\n}\n\n.form-check-input {\n  --#{$prefix}form-check-bg: #{$form-check-input-bg};\n\n  flex-shrink: 0;\n  width: $form-check-input-width;\n  height: $form-check-input-width;\n  margin-top: ($line-height-base - $form-check-input-width) * .5; // line-height minus check height\n  vertical-align: top;\n  appearance: none;\n  background-color: var(--#{$prefix}form-check-bg);\n  background-image: var(--#{$prefix}form-check-bg-image);\n  background-repeat: no-repeat;\n  background-position: center;\n  background-size: contain;\n  border: $form-check-input-border;\n  print-color-adjust: exact; // Keep themed appearance for print\n  @include transition($form-check-transition);\n\n  &[type=\"checkbox\"] {\n    @include border-radius($form-check-input-border-radius);\n  }\n\n  &[type=\"radio\"] {\n    // stylelint-disable-next-line property-disallowed-list\n    border-radius: $form-check-radio-border-radius;\n  }\n\n  &:active {\n    filter: $form-check-input-active-filter;\n  }\n\n  &:focus {\n    border-color: $form-check-input-focus-border;\n    outline: 0;\n    box-shadow: $form-check-input-focus-box-shadow;\n  }\n\n  &:checked {\n    background-color: $form-check-input-checked-bg-color;\n    border-color: $form-check-input-checked-border-color;\n\n    &[type=\"checkbox\"] {\n      @if $enable-gradients {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-checked-bg-image)}, var(--#{$prefix}gradient);\n      } @else {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-checked-bg-image)};\n      }\n    }\n\n    &[type=\"radio\"] {\n      @if $enable-gradients {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-radio-checked-bg-image)}, var(--#{$prefix}gradient);\n      } @else {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-radio-checked-bg-image)};\n      }\n    }\n  }\n\n  &[type=\"checkbox\"]:indeterminate {\n    background-color: $form-check-input-indeterminate-bg-color;\n    border-color: $form-check-input-indeterminate-border-color;\n\n    @if $enable-gradients {\n      --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-indeterminate-bg-image)}, var(--#{$prefix}gradient);\n    } @else {\n      --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-indeterminate-bg-image)};\n    }\n  }\n\n  &:disabled {\n    pointer-events: none;\n    filter: none;\n    opacity: $form-check-input-disabled-opacity;\n  }\n\n  // Use disabled attribute in addition of :disabled pseudo-class\n  // See: https://github.com/twbs/bootstrap/issues/28247\n  &[disabled],\n  &:disabled {\n    ~ .form-check-label {\n      cursor: default;\n      opacity: $form-check-label-disabled-opacity;\n    }\n  }\n}\n\n.form-check-label {\n  color: $form-check-label-color;\n  cursor: $form-check-label-cursor;\n}\n\n//\n// Switch\n//\n\n.form-switch {\n  padding-left: $form-switch-padding-start;\n\n  .form-check-input {\n    --#{$prefix}form-switch-bg: #{escape-svg($form-switch-bg-image)};\n\n    width: $form-switch-width;\n    margin-left: $form-switch-padding-start * -1;\n    background-image: var(--#{$prefix}form-switch-bg);\n    background-position: left center;\n    @include border-radius($form-switch-border-radius, 0);\n    @include transition($form-switch-transition);\n\n    &:focus {\n      --#{$prefix}form-switch-bg: #{escape-svg($form-switch-focus-bg-image)};\n    }\n\n    &:checked {\n      background-position: $form-switch-checked-bg-position;\n\n      @if $enable-gradients {\n        --#{$prefix}form-switch-bg: #{escape-svg($form-switch-checked-bg-image)}, var(--#{$prefix}gradient);\n      } @else {\n        --#{$prefix}form-switch-bg: #{escape-svg($form-switch-checked-bg-image)};\n      }\n    }\n  }\n\n  &.form-check-reverse {\n    padding-right: $form-switch-padding-start;\n    padding-left: 0;\n\n    .form-check-input {\n      margin-right: $form-switch-padding-start * -1;\n      margin-left: 0;\n    }\n  }\n}\n\n.form-check-inline {\n  display: inline-block;\n  margin-right: $form-check-inline-margin-end;\n}\n\n.btn-check {\n  position: absolute;\n  clip: rect(0, 0, 0, 0);\n  pointer-events: none;\n\n  &[disabled],\n  &:disabled {\n    + .btn {\n      pointer-events: none;\n      filter: none;\n      opacity: $form-check-btn-check-disabled-opacity;\n    }\n  }\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .form-switch .form-check-input:not(:checked):not(:focus) {\n      --#{$prefix}form-switch-bg: #{escape-svg($form-switch-bg-image-dark)};\n    }\n  }\n}\n","// Range\n//\n// Style range inputs the same across browsers. Vendor-specific rules for pseudo\n// elements cannot be mixed. As such, there are no shared styles for focus or\n// active states on prefixed selectors.\n\n.form-range {\n  width: 100%;\n  height: add($form-range-thumb-height, $form-range-thumb-focus-box-shadow-width * 2);\n  padding: 0; // Need to reset padding\n  appearance: none;\n  background-color: transparent;\n\n  &:focus {\n    outline: 0;\n\n    // Pseudo-elements must be split across multiple rulesets to have an effect.\n    // No box-shadow() mixin for focus accessibility.\n    &::-webkit-slider-thumb { box-shadow: $form-range-thumb-focus-box-shadow; }\n    &::-moz-range-thumb     { box-shadow: $form-range-thumb-focus-box-shadow; }\n  }\n\n  &::-moz-focus-outer {\n    border: 0;\n  }\n\n  &::-webkit-slider-thumb {\n    width: $form-range-thumb-width;\n    height: $form-range-thumb-height;\n    margin-top: ($form-range-track-height - $form-range-thumb-height) * .5; // Webkit specific\n    appearance: none;\n    @include gradient-bg($form-range-thumb-bg);\n    border: $form-range-thumb-border;\n    @include border-radius($form-range-thumb-border-radius);\n    @include box-shadow($form-range-thumb-box-shadow);\n    @include transition($form-range-thumb-transition);\n\n    &:active {\n      @include gradient-bg($form-range-thumb-active-bg);\n    }\n  }\n\n  &::-webkit-slider-runnable-track {\n    width: $form-range-track-width;\n    height: $form-range-track-height;\n    color: transparent; // Why?\n    cursor: $form-range-track-cursor;\n    background-color: $form-range-track-bg;\n    border-color: transparent;\n    @include border-radius($form-range-track-border-radius);\n    @include box-shadow($form-range-track-box-shadow);\n  }\n\n  &::-moz-range-thumb {\n    width: $form-range-thumb-width;\n    height: $form-range-thumb-height;\n    appearance: none;\n    @include gradient-bg($form-range-thumb-bg);\n    border: $form-range-thumb-border;\n    @include border-radius($form-range-thumb-border-radius);\n    @include box-shadow($form-range-thumb-box-shadow);\n    @include transition($form-range-thumb-transition);\n\n    &:active {\n      @include gradient-bg($form-range-thumb-active-bg);\n    }\n  }\n\n  &::-moz-range-track {\n    width: $form-range-track-width;\n    height: $form-range-track-height;\n    color: transparent;\n    cursor: $form-range-track-cursor;\n    background-color: $form-range-track-bg;\n    border-color: transparent; // Firefox specific?\n    @include border-radius($form-range-track-border-radius);\n    @include box-shadow($form-range-track-box-shadow);\n  }\n\n  &:disabled {\n    pointer-events: none;\n\n    &::-webkit-slider-thumb {\n      background-color: $form-range-thumb-disabled-bg;\n    }\n\n    &::-moz-range-thumb {\n      background-color: $form-range-thumb-disabled-bg;\n    }\n  }\n}\n",".form-floating {\n  position: relative;\n\n  > .form-control,\n  > .form-control-plaintext,\n  > .form-select {\n    height: $form-floating-height;\n    min-height: $form-floating-height;\n    line-height: $form-floating-line-height;\n  }\n\n  > label {\n    position: absolute;\n    top: 0;\n    left: 0;\n    z-index: 2;\n    height: 100%; // allow textareas\n    padding: $form-floating-padding-y $form-floating-padding-x;\n    overflow: hidden;\n    text-align: start;\n    text-overflow: ellipsis;\n    white-space: nowrap;\n    pointer-events: none;\n    border: $input-border-width solid transparent; // Required for aligning label's text with the input as it affects inner box model\n    transform-origin: 0 0;\n    @include transition($form-floating-transition);\n  }\n\n  > .form-control,\n  > .form-control-plaintext {\n    padding: $form-floating-padding-y $form-floating-padding-x;\n\n    &::placeholder {\n      color: transparent;\n    }\n\n    &:focus,\n    &:not(:placeholder-shown) {\n      padding-top: $form-floating-input-padding-t;\n      padding-bottom: $form-floating-input-padding-b;\n    }\n    // Duplicated because `:-webkit-autofill` invalidates other selectors when grouped\n    &:-webkit-autofill {\n      padding-top: $form-floating-input-padding-t;\n      padding-bottom: $form-floating-input-padding-b;\n    }\n  }\n\n  > .form-select {\n    padding-top: $form-floating-input-padding-t;\n    padding-bottom: $form-floating-input-padding-b;\n  }\n\n  > .form-control:focus,\n  > .form-control:not(:placeholder-shown),\n  > .form-control-plaintext,\n  > .form-select {\n    ~ label {\n      color: rgba(var(--#{$prefix}body-color-rgb), #{$form-floating-label-opacity});\n      transform: $form-floating-label-transform;\n\n      &::after {\n        position: absolute;\n        inset: $form-floating-padding-y ($form-floating-padding-x * .5);\n        z-index: -1;\n        height: $form-floating-label-height;\n        content: \"\";\n        background-color: $input-bg;\n        @include border-radius($input-border-radius);\n      }\n    }\n  }\n  // Duplicated because `:-webkit-autofill` invalidates other selectors when grouped\n  > .form-control:-webkit-autofill {\n    ~ label {\n      color: rgba(var(--#{$prefix}body-color-rgb), #{$form-floating-label-opacity});\n      transform: $form-floating-label-transform;\n    }\n  }\n\n  > .form-control-plaintext {\n    ~ label {\n      border-width: $input-border-width 0; // Required to properly position label text - as explained above\n    }\n  }\n\n  > :disabled ~ label,\n  > .form-control:disabled ~ label { // Required for `.form-control`s because of specificity\n    color: $form-floating-label-disabled-color;\n\n    &::after {\n      background-color: $input-disabled-bg;\n    }\n  }\n}\n","//\n// Base styles\n//\n\n.input-group {\n  position: relative;\n  display: flex;\n  flex-wrap: wrap; // For form validation feedback\n  align-items: stretch;\n  width: 100%;\n\n  > .form-control,\n  > .form-select,\n  > .form-floating {\n    position: relative; // For focus state's z-index\n    flex: 1 1 auto;\n    width: 1%;\n    min-width: 0; // https://stackoverflow.com/questions/36247140/why-dont-flex-items-shrink-past-content-size\n  }\n\n  // Bring the \"active\" form control to the top of surrounding elements\n  > .form-control:focus,\n  > .form-select:focus,\n  > .form-floating:focus-within {\n    z-index: 5;\n  }\n\n  // Ensure buttons are always above inputs for more visually pleasing borders.\n  // This isn't needed for `.input-group-text` since it shares the same border-color\n  // as our inputs.\n  .btn {\n    position: relative;\n    z-index: 2;\n\n    &:focus {\n      z-index: 5;\n    }\n  }\n}\n\n\n// Textual addons\n//\n// Serves as a catch-all element for any text or radio/checkbox input you wish\n// to prepend or append to an input.\n\n.input-group-text {\n  display: flex;\n  align-items: center;\n  padding: $input-group-addon-padding-y $input-group-addon-padding-x;\n  @include font-size($input-font-size); // Match inputs\n  font-weight: $input-group-addon-font-weight;\n  line-height: $input-line-height;\n  color: $input-group-addon-color;\n  text-align: center;\n  white-space: nowrap;\n  background-color: $input-group-addon-bg;\n  border: $input-border-width solid $input-group-addon-border-color;\n  @include border-radius($input-border-radius);\n}\n\n\n// Sizing\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 > .form-select,\n.input-group-lg > .input-group-text,\n.input-group-lg > .btn {\n  padding: $input-padding-y-lg $input-padding-x-lg;\n  @include font-size($input-font-size-lg);\n  @include border-radius($input-border-radius-lg);\n}\n\n.input-group-sm > .form-control,\n.input-group-sm > .form-select,\n.input-group-sm > .input-group-text,\n.input-group-sm > .btn {\n  padding: $input-padding-y-sm $input-padding-x-sm;\n  @include font-size($input-font-size-sm);\n  @include border-radius($input-border-radius-sm);\n}\n\n.input-group-lg > .form-select,\n.input-group-sm > .form-select {\n  padding-right: $form-select-padding-x + $form-select-indicator-padding;\n}\n\n\n// Rounded corners\n//\n// These rulesets must come after the sizing ones to properly override sm and lg\n// border-radius values when extending. They're more specific than we'd like\n// with the `.input-group >` part, but without it, we cannot override the sizing.\n\n// stylelint-disable-next-line no-duplicate-selectors\n.input-group {\n  &:not(.has-validation) {\n    > :not(:last-child):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),\n    > .dropdown-toggle:nth-last-child(n + 3),\n    > .form-floating:not(:last-child) > .form-control,\n    > .form-floating:not(:last-child) > .form-select {\n      @include border-end-radius(0);\n    }\n  }\n\n  &.has-validation {\n    > :nth-last-child(n + 3):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),\n    > .dropdown-toggle:nth-last-child(n + 4),\n    > .form-floating:nth-last-child(n + 3) > .form-control,\n    > .form-floating:nth-last-child(n + 3) > .form-select {\n      @include border-end-radius(0);\n    }\n  }\n\n  $validation-messages: \"\";\n  @each $state in map-keys($form-validation-states) {\n    $validation-messages: $validation-messages + \":not(.\" + unquote($state) + \"-tooltip)\" + \":not(.\" + unquote($state) + \"-feedback)\";\n  }\n\n  > :not(:first-child):not(.dropdown-menu)#{$validation-messages} {\n    margin-left: calc(#{$input-border-width} * -1); // stylelint-disable-line function-disallowed-list\n    @include border-start-radius(0);\n  }\n\n  > .form-floating:not(:first-child) > .form-control,\n  > .form-floating:not(:first-child) > .form-select {\n    @include border-start-radius(0);\n  }\n}\n","// This mixin uses an `if()` technique to be compatible with Dart Sass\n// See https://github.com/sass/sass/issues/1873#issuecomment-152293725 for more details\n\n// scss-docs-start form-validation-mixins\n@mixin form-validation-state-selector($state) {\n  @if ($state == \"valid\" or $state == \"invalid\") {\n    .was-validated #{if(&, \"&\", \"\")}:#{$state},\n    #{if(&, \"&\", \"\")}.is-#{$state} {\n      @content;\n    }\n  } @else {\n    #{if(&, \"&\", \"\")}.is-#{$state} {\n      @content;\n    }\n  }\n}\n\n@mixin form-validation-state(\n  $state,\n  $color,\n  $icon,\n  $tooltip-color: color-contrast($color),\n  $tooltip-bg-color: rgba($color, $form-feedback-tooltip-opacity),\n  $focus-box-shadow: 0 0 $input-btn-focus-blur $input-focus-width rgba($color, $input-btn-focus-color-opacity),\n  $border-color: $color\n) {\n  .#{$state}-feedback {\n    display: none;\n    width: 100%;\n    margin-top: $form-feedback-margin-top;\n    @include font-size($form-feedback-font-size);\n    font-style: $form-feedback-font-style;\n    color: $color;\n  }\n\n  .#{$state}-tooltip {\n    position: absolute;\n    top: 100%;\n    z-index: 5;\n    display: none;\n    max-width: 100%; // Contain to parent when possible\n    padding: $form-feedback-tooltip-padding-y $form-feedback-tooltip-padding-x;\n    margin-top: .1rem;\n    @include font-size($form-feedback-tooltip-font-size);\n    line-height: $form-feedback-tooltip-line-height;\n    color: $tooltip-color;\n    background-color: $tooltip-bg-color;\n    @include border-radius($form-feedback-tooltip-border-radius);\n  }\n\n  @include form-validation-state-selector($state) {\n    ~ .#{$state}-feedback,\n    ~ .#{$state}-tooltip {\n      display: block;\n    }\n  }\n\n  .form-control {\n    @include form-validation-state-selector($state) {\n      border-color: $border-color;\n\n      @if $enable-validation-icons {\n        padding-right: $input-height-inner;\n        background-image: escape-svg($icon);\n        background-repeat: no-repeat;\n        background-position: right $input-height-inner-quarter center;\n        background-size: $input-height-inner-half $input-height-inner-half;\n      }\n\n      &:focus {\n        border-color: $border-color;\n        @if $enable-shadows {\n          @include box-shadow($input-box-shadow, $focus-box-shadow);\n        } @else {\n          // Avoid using mixin so we can pass custom focus shadow properly\n          box-shadow: $focus-box-shadow;\n        }\n      }\n    }\n  }\n\n  // stylelint-disable-next-line selector-no-qualifying-type\n  textarea.form-control {\n    @include form-validation-state-selector($state) {\n      @if $enable-validation-icons {\n        padding-right: $input-height-inner;\n        background-position: top $input-height-inner-quarter right $input-height-inner-quarter;\n      }\n    }\n  }\n\n  .form-select {\n    @include form-validation-state-selector($state) {\n      border-color: $border-color;\n\n      @if $enable-validation-icons {\n        &:not([multiple]):not([size]),\n        &:not([multiple])[size=\"1\"] {\n          --#{$prefix}form-select-bg-icon: #{escape-svg($icon)};\n          padding-right: $form-select-feedback-icon-padding-end;\n          background-position: $form-select-bg-position, $form-select-feedback-icon-position;\n          background-size: $form-select-bg-size, $form-select-feedback-icon-size;\n        }\n      }\n\n      &:focus {\n        border-color: $border-color;\n        @if $enable-shadows {\n          @include box-shadow($form-select-box-shadow, $focus-box-shadow);\n        } @else {\n          // Avoid using mixin so we can pass custom focus shadow properly\n          box-shadow: $focus-box-shadow;\n        }\n      }\n    }\n  }\n\n  .form-control-color {\n    @include form-validation-state-selector($state) {\n      @if $enable-validation-icons {\n        width: add($form-color-width, $input-height-inner);\n      }\n    }\n  }\n\n  .form-check-input {\n    @include form-validation-state-selector($state) {\n      border-color: $border-color;\n\n      &:checked {\n        background-color: $color;\n      }\n\n      &:focus {\n        box-shadow: $focus-box-shadow;\n      }\n\n      ~ .form-check-label {\n        color: $color;\n      }\n    }\n  }\n  .form-check-inline .form-check-input {\n    ~ .#{$state}-feedback {\n      margin-left: .5em;\n    }\n  }\n\n  .input-group {\n    > .form-control:not(:focus),\n    > .form-select:not(:focus),\n    > .form-floating:not(:focus-within) {\n      @include form-validation-state-selector($state) {\n        @if $state == \"valid\" {\n          z-index: 3;\n        } @else if $state == \"invalid\" {\n          z-index: 4;\n        }\n      }\n    }\n  }\n}\n// scss-docs-end form-validation-mixins\n","//\n// Base styles\n//\n\n.btn {\n  // scss-docs-start btn-css-vars\n  --#{$prefix}btn-padding-x: #{$btn-padding-x};\n  --#{$prefix}btn-padding-y: #{$btn-padding-y};\n  --#{$prefix}btn-font-family: #{$btn-font-family};\n  @include rfs($btn-font-size, --#{$prefix}btn-font-size);\n  --#{$prefix}btn-font-weight: #{$btn-font-weight};\n  --#{$prefix}btn-line-height: #{$btn-line-height};\n  --#{$prefix}btn-color: #{$btn-color};\n  --#{$prefix}btn-bg: transparent;\n  --#{$prefix}btn-border-width: #{$btn-border-width};\n  --#{$prefix}btn-border-color: transparent;\n  --#{$prefix}btn-border-radius: #{$btn-border-radius};\n  --#{$prefix}btn-hover-border-color: transparent;\n  --#{$prefix}btn-box-shadow: #{$btn-box-shadow};\n  --#{$prefix}btn-disabled-opacity: #{$btn-disabled-opacity};\n  --#{$prefix}btn-focus-box-shadow: 0 0 0 #{$btn-focus-width} rgba(var(--#{$prefix}btn-focus-shadow-rgb), .5);\n  // scss-docs-end btn-css-vars\n\n  display: inline-block;\n  padding: var(--#{$prefix}btn-padding-y) var(--#{$prefix}btn-padding-x);\n  font-family: var(--#{$prefix}btn-font-family);\n  @include font-size(var(--#{$prefix}btn-font-size));\n  font-weight: var(--#{$prefix}btn-font-weight);\n  line-height: var(--#{$prefix}btn-line-height);\n  color: var(--#{$prefix}btn-color);\n  text-align: center;\n  text-decoration: if($link-decoration == none, null, none);\n  white-space: $btn-white-space;\n  vertical-align: middle;\n  cursor: if($enable-button-pointers, pointer, null);\n  user-select: none;\n  border: var(--#{$prefix}btn-border-width) solid var(--#{$prefix}btn-border-color);\n  @include border-radius(var(--#{$prefix}btn-border-radius));\n  @include gradient-bg(var(--#{$prefix}btn-bg));\n  @include box-shadow(var(--#{$prefix}btn-box-shadow));\n  @include transition($btn-transition);\n\n  &:hover {\n    color: var(--#{$prefix}btn-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n    background-color: var(--#{$prefix}btn-hover-bg);\n    border-color: var(--#{$prefix}btn-hover-border-color);\n  }\n\n  .btn-check + &:hover {\n    // override for the checkbox/radio buttons\n    color: var(--#{$prefix}btn-color);\n    background-color: var(--#{$prefix}btn-bg);\n    border-color: var(--#{$prefix}btn-border-color);\n  }\n\n  &:focus-visible {\n    color: var(--#{$prefix}btn-hover-color);\n    @include gradient-bg(var(--#{$prefix}btn-hover-bg));\n    border-color: var(--#{$prefix}btn-hover-border-color);\n    outline: 0;\n    // Avoid using mixin so we can pass custom focus shadow properly\n    @if $enable-shadows {\n      box-shadow: var(--#{$prefix}btn-box-shadow), var(--#{$prefix}btn-focus-box-shadow);\n    } @else {\n      box-shadow: var(--#{$prefix}btn-focus-box-shadow);\n    }\n  }\n\n  .btn-check:focus-visible + & {\n    border-color: var(--#{$prefix}btn-hover-border-color);\n    outline: 0;\n    // Avoid using mixin so we can pass custom focus shadow properly\n    @if $enable-shadows {\n      box-shadow: var(--#{$prefix}btn-box-shadow), var(--#{$prefix}btn-focus-box-shadow);\n    } @else {\n      box-shadow: var(--#{$prefix}btn-focus-box-shadow);\n    }\n  }\n\n  .btn-check:checked + &,\n  :not(.btn-check) + &:active,\n  &:first-child:active,\n  &.active,\n  &.show {\n    color: var(--#{$prefix}btn-active-color);\n    background-color: var(--#{$prefix}btn-active-bg);\n    // Remove CSS gradients if they're enabled\n    background-image: if($enable-gradients, none, null);\n    border-color: var(--#{$prefix}btn-active-border-color);\n    @include box-shadow(var(--#{$prefix}btn-active-shadow));\n\n    &:focus-visible {\n      // Avoid using mixin so we can pass custom focus shadow properly\n      @if $enable-shadows {\n        box-shadow: var(--#{$prefix}btn-active-shadow), var(--#{$prefix}btn-focus-box-shadow);\n      } @else {\n        box-shadow: var(--#{$prefix}btn-focus-box-shadow);\n      }\n    }\n  }\n\n  .btn-check:checked:focus-visible + & {\n    // Avoid using mixin so we can pass custom focus shadow properly\n    @if $enable-shadows {\n      box-shadow: var(--#{$prefix}btn-active-shadow), var(--#{$prefix}btn-focus-box-shadow);\n    } @else {\n      box-shadow: var(--#{$prefix}btn-focus-box-shadow);\n    }\n  }\n\n  &:disabled,\n  &.disabled,\n  fieldset:disabled & {\n    color: var(--#{$prefix}btn-disabled-color);\n    pointer-events: none;\n    background-color: var(--#{$prefix}btn-disabled-bg);\n    background-image: if($enable-gradients, none, null);\n    border-color: var(--#{$prefix}btn-disabled-border-color);\n    opacity: var(--#{$prefix}btn-disabled-opacity);\n    @include box-shadow(none);\n  }\n}\n\n\n//\n// Alternate buttons\n//\n\n// scss-docs-start btn-variant-loops\n@each $color, $value in $theme-colors {\n  .btn-#{$color} {\n    @if $color == \"light\" {\n      @include button-variant(\n        $value,\n        $value,\n        $hover-background: shade-color($value, $btn-hover-bg-shade-amount),\n        $hover-border: shade-color($value, $btn-hover-border-shade-amount),\n        $active-background: shade-color($value, $btn-active-bg-shade-amount),\n        $active-border: shade-color($value, $btn-active-border-shade-amount)\n      );\n    } @else if $color == \"dark\" {\n      @include button-variant(\n        $value,\n        $value,\n        $hover-background: tint-color($value, $btn-hover-bg-tint-amount),\n        $hover-border: tint-color($value, $btn-hover-border-tint-amount),\n        $active-background: tint-color($value, $btn-active-bg-tint-amount),\n        $active-border: tint-color($value, $btn-active-border-tint-amount)\n      );\n    } @else {\n      @include button-variant($value, $value);\n    }\n  }\n}\n\n@each $color, $value in $theme-colors {\n  .btn-outline-#{$color} {\n    @include button-outline-variant($value);\n  }\n}\n// scss-docs-end btn-variant-loops\n\n\n//\n// Link buttons\n//\n\n// Make a button look and behave like a link\n.btn-link {\n  --#{$prefix}btn-font-weight: #{$font-weight-normal};\n  --#{$prefix}btn-color: #{$btn-link-color};\n  --#{$prefix}btn-bg: transparent;\n  --#{$prefix}btn-border-color: transparent;\n  --#{$prefix}btn-hover-color: #{$btn-link-hover-color};\n  --#{$prefix}btn-hover-border-color: transparent;\n  --#{$prefix}btn-active-color: #{$btn-link-hover-color};\n  --#{$prefix}btn-active-border-color: transparent;\n  --#{$prefix}btn-disabled-color: #{$btn-link-disabled-color};\n  --#{$prefix}btn-disabled-border-color: transparent;\n  --#{$prefix}btn-box-shadow: 0 0 0 #000; // Can't use `none` as keyword negates all values when used with multiple shadows\n  --#{$prefix}btn-focus-shadow-rgb: #{$btn-link-focus-shadow-rgb};\n\n  text-decoration: $link-decoration;\n  @if $enable-gradients {\n    background-image: none;\n  }\n\n  &:hover,\n  &:focus-visible {\n    text-decoration: $link-hover-decoration;\n  }\n\n  &:focus-visible {\n    color: var(--#{$prefix}btn-color);\n  }\n\n  &:hover {\n    color: var(--#{$prefix}btn-hover-color);\n  }\n\n  // No need for an active state here\n}\n\n\n//\n// Button Sizes\n//\n\n.btn-lg {\n  @include button-size($btn-padding-y-lg, $btn-padding-x-lg, $btn-font-size-lg, $btn-border-radius-lg);\n}\n\n.btn-sm {\n  @include button-size($btn-padding-y-sm, $btn-padding-x-sm, $btn-font-size-sm, $btn-border-radius-sm);\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// scss-docs-start btn-variant-mixin\n@mixin button-variant(\n  $background,\n  $border,\n  $color: color-contrast($background),\n  $hover-background: if($color == $color-contrast-light, shade-color($background, $btn-hover-bg-shade-amount), tint-color($background, $btn-hover-bg-tint-amount)),\n  $hover-border: if($color == $color-contrast-light, shade-color($border, $btn-hover-border-shade-amount), tint-color($border, $btn-hover-border-tint-amount)),\n  $hover-color: color-contrast($hover-background),\n  $active-background: if($color == $color-contrast-light, shade-color($background, $btn-active-bg-shade-amount), tint-color($background, $btn-active-bg-tint-amount)),\n  $active-border: if($color == $color-contrast-light, shade-color($border, $btn-active-border-shade-amount), tint-color($border, $btn-active-border-tint-amount)),\n  $active-color: color-contrast($active-background),\n  $disabled-background: $background,\n  $disabled-border: $border,\n  $disabled-color: color-contrast($disabled-background)\n) {\n  --#{$prefix}btn-color: #{$color};\n  --#{$prefix}btn-bg: #{$background};\n  --#{$prefix}btn-border-color: #{$border};\n  --#{$prefix}btn-hover-color: #{$hover-color};\n  --#{$prefix}btn-hover-bg: #{$hover-background};\n  --#{$prefix}btn-hover-border-color: #{$hover-border};\n  --#{$prefix}btn-focus-shadow-rgb: #{to-rgb(mix($color, $border, 15%))};\n  --#{$prefix}btn-active-color: #{$active-color};\n  --#{$prefix}btn-active-bg: #{$active-background};\n  --#{$prefix}btn-active-border-color: #{$active-border};\n  --#{$prefix}btn-active-shadow: #{$btn-active-box-shadow};\n  --#{$prefix}btn-disabled-color: #{$disabled-color};\n  --#{$prefix}btn-disabled-bg: #{$disabled-background};\n  --#{$prefix}btn-disabled-border-color: #{$disabled-border};\n}\n// scss-docs-end btn-variant-mixin\n\n// scss-docs-start btn-outline-variant-mixin\n@mixin button-outline-variant(\n  $color,\n  $color-hover: color-contrast($color),\n  $active-background: $color,\n  $active-border: $color,\n  $active-color: color-contrast($active-background)\n) {\n  --#{$prefix}btn-color: #{$color};\n  --#{$prefix}btn-border-color: #{$color};\n  --#{$prefix}btn-hover-color: #{$color-hover};\n  --#{$prefix}btn-hover-bg: #{$active-background};\n  --#{$prefix}btn-hover-border-color: #{$active-border};\n  --#{$prefix}btn-focus-shadow-rgb: #{to-rgb($color)};\n  --#{$prefix}btn-active-color: #{$active-color};\n  --#{$prefix}btn-active-bg: #{$active-background};\n  --#{$prefix}btn-active-border-color: #{$active-border};\n  --#{$prefix}btn-active-shadow: #{$btn-active-box-shadow};\n  --#{$prefix}btn-disabled-color: #{$color};\n  --#{$prefix}btn-disabled-bg: transparent;\n  --#{$prefix}btn-disabled-border-color: #{$color};\n  --#{$prefix}gradient: none;\n}\n// scss-docs-end btn-outline-variant-mixin\n\n// scss-docs-start btn-size-mixin\n@mixin button-size($padding-y, $padding-x, $font-size, $border-radius) {\n  --#{$prefix}btn-padding-y: #{$padding-y};\n  --#{$prefix}btn-padding-x: #{$padding-x};\n  @include rfs($font-size, --#{$prefix}btn-font-size);\n  --#{$prefix}btn-border-radius: #{$border-radius};\n}\n// scss-docs-end btn-size-mixin\n",".fade {\n  @include transition($transition-fade);\n\n  &:not(.show) {\n    opacity: 0;\n  }\n}\n\n// scss-docs-start collapse-classes\n.collapse {\n  &:not(.show) {\n    display: none;\n  }\n}\n\n.collapsing {\n  height: 0;\n  overflow: hidden;\n  @include transition($transition-collapse);\n\n  &.collapse-horizontal {\n    width: 0;\n    height: auto;\n    @include transition($transition-collapse-width);\n  }\n}\n// scss-docs-end collapse-classes\n","// The dropdown wrapper (`<div>`)\n.dropup,\n.dropend,\n.dropdown,\n.dropstart,\n.dropup-center,\n.dropdown-center {\n  position: relative;\n}\n\n.dropdown-toggle {\n  white-space: nowrap;\n\n  // Generate the caret automatically\n  @include caret();\n}\n\n// The dropdown menu\n.dropdown-menu {\n  // scss-docs-start dropdown-css-vars\n  --#{$prefix}dropdown-zindex: #{$zindex-dropdown};\n  --#{$prefix}dropdown-min-width: #{$dropdown-min-width};\n  --#{$prefix}dropdown-padding-x: #{$dropdown-padding-x};\n  --#{$prefix}dropdown-padding-y: #{$dropdown-padding-y};\n  --#{$prefix}dropdown-spacer: #{$dropdown-spacer};\n  @include rfs($dropdown-font-size, --#{$prefix}dropdown-font-size);\n  --#{$prefix}dropdown-color: #{$dropdown-color};\n  --#{$prefix}dropdown-bg: #{$dropdown-bg};\n  --#{$prefix}dropdown-border-color: #{$dropdown-border-color};\n  --#{$prefix}dropdown-border-radius: #{$dropdown-border-radius};\n  --#{$prefix}dropdown-border-width: #{$dropdown-border-width};\n  --#{$prefix}dropdown-inner-border-radius: #{$dropdown-inner-border-radius};\n  --#{$prefix}dropdown-divider-bg: #{$dropdown-divider-bg};\n  --#{$prefix}dropdown-divider-margin-y: #{$dropdown-divider-margin-y};\n  --#{$prefix}dropdown-box-shadow: #{$dropdown-box-shadow};\n  --#{$prefix}dropdown-link-color: #{$dropdown-link-color};\n  --#{$prefix}dropdown-link-hover-color: #{$dropdown-link-hover-color};\n  --#{$prefix}dropdown-link-hover-bg: #{$dropdown-link-hover-bg};\n  --#{$prefix}dropdown-link-active-color: #{$dropdown-link-active-color};\n  --#{$prefix}dropdown-link-active-bg: #{$dropdown-link-active-bg};\n  --#{$prefix}dropdown-link-disabled-color: #{$dropdown-link-disabled-color};\n  --#{$prefix}dropdown-item-padding-x: #{$dropdown-item-padding-x};\n  --#{$prefix}dropdown-item-padding-y: #{$dropdown-item-padding-y};\n  --#{$prefix}dropdown-header-color: #{$dropdown-header-color};\n  --#{$prefix}dropdown-header-padding-x: #{$dropdown-header-padding-x};\n  --#{$prefix}dropdown-header-padding-y: #{$dropdown-header-padding-y};\n  // scss-docs-end dropdown-css-vars\n\n  position: absolute;\n  z-index: var(--#{$prefix}dropdown-zindex);\n  display: none; // none by default, but block on \"open\" of the menu\n  min-width: var(--#{$prefix}dropdown-min-width);\n  padding: var(--#{$prefix}dropdown-padding-y) var(--#{$prefix}dropdown-padding-x);\n  margin: 0; // Override default margin of ul\n  @include font-size(var(--#{$prefix}dropdown-font-size));\n  color: var(--#{$prefix}dropdown-color);\n  text-align: left; // Ensures proper alignment if parent has it changed (e.g., modal footer)\n  list-style: none;\n  background-color: var(--#{$prefix}dropdown-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}dropdown-border-width) solid var(--#{$prefix}dropdown-border-color);\n  @include border-radius(var(--#{$prefix}dropdown-border-radius));\n  @include box-shadow(var(--#{$prefix}dropdown-box-shadow));\n\n  &[data-bs-popper] {\n    top: 100%;\n    left: 0;\n    margin-top: var(--#{$prefix}dropdown-spacer);\n  }\n\n  @if $dropdown-padding-y == 0 {\n    > .dropdown-item:first-child,\n    > li:first-child .dropdown-item {\n      @include border-top-radius(var(--#{$prefix}dropdown-inner-border-radius));\n    }\n    > .dropdown-item:last-child,\n    > li:last-child .dropdown-item {\n      @include border-bottom-radius(var(--#{$prefix}dropdown-inner-border-radius));\n    }\n\n  }\n}\n\n// scss-docs-start responsive-breakpoints\n// We deliberately hardcode the `bs-` prefix because we check\n// this custom property in JS to determine Popper's positioning\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    .dropdown-menu#{$infix}-start {\n      --bs-position: start;\n\n      &[data-bs-popper] {\n        right: auto;\n        left: 0;\n      }\n    }\n\n    .dropdown-menu#{$infix}-end {\n      --bs-position: end;\n\n      &[data-bs-popper] {\n        right: 0;\n        left: auto;\n      }\n    }\n  }\n}\n// scss-docs-end responsive-breakpoints\n\n// Allow for dropdowns to go bottom up (aka, dropup-menu)\n// Just add .dropup after the standard .dropdown class and you're set.\n.dropup {\n  .dropdown-menu[data-bs-popper] {\n    top: auto;\n    bottom: 100%;\n    margin-top: 0;\n    margin-bottom: var(--#{$prefix}dropdown-spacer);\n  }\n\n  .dropdown-toggle {\n    @include caret(up);\n  }\n}\n\n.dropend {\n  .dropdown-menu[data-bs-popper] {\n    top: 0;\n    right: auto;\n    left: 100%;\n    margin-top: 0;\n    margin-left: var(--#{$prefix}dropdown-spacer);\n  }\n\n  .dropdown-toggle {\n    @include caret(end);\n    &::after {\n      vertical-align: 0;\n    }\n  }\n}\n\n.dropstart {\n  .dropdown-menu[data-bs-popper] {\n    top: 0;\n    right: 100%;\n    left: auto;\n    margin-top: 0;\n    margin-right: var(--#{$prefix}dropdown-spacer);\n  }\n\n  .dropdown-toggle {\n    @include caret(start);\n    &::before {\n      vertical-align: 0;\n    }\n  }\n}\n\n\n// Dividers (basically an `<hr>`) within the dropdown\n.dropdown-divider {\n  height: 0;\n  margin: var(--#{$prefix}dropdown-divider-margin-y) 0;\n  overflow: hidden;\n  border-top: 1px solid var(--#{$prefix}dropdown-divider-bg);\n  opacity: 1; // Revisit in v6 to de-dupe styles that conflict with <hr> element\n}\n\n// Links, buttons, and more within the dropdown menu\n//\n// `<button>`-specific styles are denoted with `// For <button>s`\n.dropdown-item {\n  display: block;\n  width: 100%; // For `<button>`s\n  padding: var(--#{$prefix}dropdown-item-padding-y) var(--#{$prefix}dropdown-item-padding-x);\n  clear: both;\n  font-weight: $font-weight-normal;\n  color: var(--#{$prefix}dropdown-link-color);\n  text-align: inherit; // For `<button>`s\n  text-decoration: if($link-decoration == none, null, none);\n  white-space: nowrap; // prevent links from randomly breaking onto new lines\n  background-color: transparent; // For `<button>`s\n  border: 0; // For `<button>`s\n  @include border-radius(var(--#{$prefix}dropdown-item-border-radius, 0));\n\n  &:hover,\n  &:focus {\n    color: var(--#{$prefix}dropdown-link-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n    @include gradient-bg(var(--#{$prefix}dropdown-link-hover-bg));\n  }\n\n  &.active,\n  &:active {\n    color: var(--#{$prefix}dropdown-link-active-color);\n    text-decoration: none;\n    @include gradient-bg(var(--#{$prefix}dropdown-link-active-bg));\n  }\n\n  &.disabled,\n  &:disabled {\n    color: var(--#{$prefix}dropdown-link-disabled-color);\n    pointer-events: none;\n    background-color: transparent;\n    // Remove CSS gradients if they're enabled\n    background-image: if($enable-gradients, none, null);\n  }\n}\n\n.dropdown-menu.show {\n  display: block;\n}\n\n// Dropdown section headers\n.dropdown-header {\n  display: block;\n  padding: var(--#{$prefix}dropdown-header-padding-y) var(--#{$prefix}dropdown-header-padding-x);\n  margin-bottom: 0; // for use with heading elements\n  @include font-size($font-size-sm);\n  color: var(--#{$prefix}dropdown-header-color);\n  white-space: nowrap; // as with > li > a\n}\n\n// Dropdown text\n.dropdown-item-text {\n  display: block;\n  padding: var(--#{$prefix}dropdown-item-padding-y) var(--#{$prefix}dropdown-item-padding-x);\n  color: var(--#{$prefix}dropdown-link-color);\n}\n\n// Dark dropdowns\n.dropdown-menu-dark {\n  // scss-docs-start dropdown-dark-css-vars\n  --#{$prefix}dropdown-color: #{$dropdown-dark-color};\n  --#{$prefix}dropdown-bg: #{$dropdown-dark-bg};\n  --#{$prefix}dropdown-border-color: #{$dropdown-dark-border-color};\n  --#{$prefix}dropdown-box-shadow: #{$dropdown-dark-box-shadow};\n  --#{$prefix}dropdown-link-color: #{$dropdown-dark-link-color};\n  --#{$prefix}dropdown-link-hover-color: #{$dropdown-dark-link-hover-color};\n  --#{$prefix}dropdown-divider-bg: #{$dropdown-dark-divider-bg};\n  --#{$prefix}dropdown-link-hover-bg: #{$dropdown-dark-link-hover-bg};\n  --#{$prefix}dropdown-link-active-color: #{$dropdown-dark-link-active-color};\n  --#{$prefix}dropdown-link-active-bg: #{$dropdown-dark-link-active-bg};\n  --#{$prefix}dropdown-link-disabled-color: #{$dropdown-dark-link-disabled-color};\n  --#{$prefix}dropdown-header-color: #{$dropdown-dark-header-color};\n  // scss-docs-end dropdown-dark-css-vars\n}\n","// scss-docs-start caret-mixins\n@mixin caret-down($width: $caret-width) {\n  border-top: $width solid;\n  border-right: $width solid transparent;\n  border-bottom: 0;\n  border-left: $width solid transparent;\n}\n\n@mixin caret-up($width: $caret-width) {\n  border-top: 0;\n  border-right: $width solid transparent;\n  border-bottom: $width solid;\n  border-left: $width solid transparent;\n}\n\n@mixin caret-end($width: $caret-width) {\n  border-top: $width solid transparent;\n  border-right: 0;\n  border-bottom: $width solid transparent;\n  border-left: $width solid;\n}\n\n@mixin caret-start($width: $caret-width) {\n  border-top: $width solid transparent;\n  border-right: $width solid;\n  border-bottom: $width solid transparent;\n}\n\n@mixin caret(\n  $direction: down,\n  $width: $caret-width,\n  $spacing: $caret-spacing,\n  $vertical-align: $caret-vertical-align\n) {\n  @if $enable-caret {\n    &::after {\n      display: inline-block;\n      margin-left: $spacing;\n      vertical-align: $vertical-align;\n      content: \"\";\n      @if $direction == down {\n        @include caret-down($width);\n      } @else if $direction == up {\n        @include caret-up($width);\n      } @else if $direction == end {\n        @include caret-end($width);\n      }\n    }\n\n    @if $direction == start {\n      &::after {\n        display: none;\n      }\n\n      &::before {\n        display: inline-block;\n        margin-right: $spacing;\n        vertical-align: $vertical-align;\n        content: \"\";\n        @include caret-start($width);\n      }\n    }\n\n    &:empty::after {\n      margin-left: 0;\n    }\n  }\n}\n// scss-docs-end caret-mixins\n","// Make the div behave like a button\n.btn-group,\n.btn-group-vertical {\n  position: relative;\n  display: inline-flex;\n  vertical-align: middle; // match .btn alignment given font-size hack above\n\n  > .btn {\n    position: relative;\n    flex: 1 1 auto;\n  }\n\n  // Bring the hover, focused, and \"active\" buttons to the front to overlay\n  // the borders properly\n  > .btn-check:checked + .btn,\n  > .btn-check:focus + .btn,\n  > .btn:hover,\n  > .btn:focus,\n  > .btn:active,\n  > .btn.active {\n    z-index: 1;\n  }\n}\n\n// Optional: Group multiple button groups together for a toolbar\n.btn-toolbar {\n  display: flex;\n  flex-wrap: wrap;\n  justify-content: flex-start;\n\n  .input-group {\n    width: auto;\n  }\n}\n\n.btn-group {\n  @include border-radius($btn-border-radius);\n\n  // Prevent double borders when buttons are next to each other\n  > :not(.btn-check:first-child) + .btn,\n  > .btn-group:not(:first-child) {\n    margin-left: calc(#{$btn-border-width} * -1); // stylelint-disable-line function-disallowed-list\n  }\n\n  // Reset rounded corners\n  > .btn:not(:last-child):not(.dropdown-toggle),\n  > .btn.dropdown-toggle-split:first-child,\n  > .btn-group:not(:last-child) > .btn {\n    @include border-end-radius(0);\n  }\n\n  // The left radius should be 0 if the button is:\n  // - the \"third or more\" child\n  // - the second child and the previous element isn't `.btn-check` (making it the first child visually)\n  // - part of a btn-group which isn't the first child\n  > .btn:nth-child(n + 3),\n  > :not(.btn-check) + .btn,\n  > .btn-group:not(:first-child) > .btn {\n    @include border-start-radius(0);\n  }\n}\n\n// Sizing\n//\n// Remix the default button sizing classes into new ones for easier manipulation.\n\n.btn-group-sm > .btn { @extend .btn-sm; }\n.btn-group-lg > .btn { @extend .btn-lg; }\n\n\n//\n// Split button dropdowns\n//\n\n.dropdown-toggle-split {\n  padding-right: $btn-padding-x * .75;\n  padding-left: $btn-padding-x * .75;\n\n  &::after,\n  .dropup &::after,\n  .dropend &::after {\n    margin-left: 0;\n  }\n\n  .dropstart &::before {\n    margin-right: 0;\n  }\n}\n\n.btn-sm + .dropdown-toggle-split {\n  padding-right: $btn-padding-x-sm * .75;\n  padding-left: $btn-padding-x-sm * .75;\n}\n\n.btn-lg + .dropdown-toggle-split {\n  padding-right: $btn-padding-x-lg * .75;\n  padding-left: $btn-padding-x-lg * .75;\n}\n\n\n// The clickable button for toggling the menu\n// Set the same inset shadow as the :active state\n.btn-group.show .dropdown-toggle {\n  @include box-shadow($btn-active-box-shadow);\n\n  // Show no shadow for `.btn-link` since it has no other button styles.\n  &.btn-link {\n    @include box-shadow(none);\n  }\n}\n\n\n//\n// Vertical button groups\n//\n\n.btn-group-vertical {\n  flex-direction: column;\n  align-items: flex-start;\n  justify-content: center;\n\n  > .btn,\n  > .btn-group {\n    width: 100%;\n  }\n\n  > .btn:not(:first-child),\n  > .btn-group:not(:first-child) {\n    margin-top: calc(#{$btn-border-width} * -1); // stylelint-disable-line function-disallowed-list\n  }\n\n  // Reset rounded corners\n  > .btn:not(:last-child):not(.dropdown-toggle),\n  > .btn-group:not(:last-child) > .btn {\n    @include border-bottom-radius(0);\n  }\n\n  > .btn ~ .btn,\n  > .btn-group:not(:first-child) > .btn {\n    @include border-top-radius(0);\n  }\n}\n","// Base class\n//\n// Kickstart any navigation component with a set of style resets. Works with\n// `<nav>`s, `<ul>`s or `<ol>`s.\n\n.nav {\n  // scss-docs-start nav-css-vars\n  --#{$prefix}nav-link-padding-x: #{$nav-link-padding-x};\n  --#{$prefix}nav-link-padding-y: #{$nav-link-padding-y};\n  @include rfs($nav-link-font-size, --#{$prefix}nav-link-font-size);\n  --#{$prefix}nav-link-font-weight: #{$nav-link-font-weight};\n  --#{$prefix}nav-link-color: #{$nav-link-color};\n  --#{$prefix}nav-link-hover-color: #{$nav-link-hover-color};\n  --#{$prefix}nav-link-disabled-color: #{$nav-link-disabled-color};\n  // scss-docs-end nav-css-vars\n\n  display: flex;\n  flex-wrap: wrap;\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n}\n\n.nav-link {\n  display: block;\n  padding: var(--#{$prefix}nav-link-padding-y) var(--#{$prefix}nav-link-padding-x);\n  @include font-size(var(--#{$prefix}nav-link-font-size));\n  font-weight: var(--#{$prefix}nav-link-font-weight);\n  color: var(--#{$prefix}nav-link-color);\n  text-decoration: if($link-decoration == none, null, none);\n  background: none;\n  border: 0;\n  @include transition($nav-link-transition);\n\n  &:hover,\n  &:focus {\n    color: var(--#{$prefix}nav-link-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n  }\n\n  &:focus-visible {\n    outline: 0;\n    box-shadow: $nav-link-focus-box-shadow;\n  }\n\n  // Disabled state lightens text\n  &.disabled,\n  &:disabled {\n    color: var(--#{$prefix}nav-link-disabled-color);\n    pointer-events: none;\n    cursor: default;\n  }\n}\n\n//\n// Tabs\n//\n\n.nav-tabs {\n  // scss-docs-start nav-tabs-css-vars\n  --#{$prefix}nav-tabs-border-width: #{$nav-tabs-border-width};\n  --#{$prefix}nav-tabs-border-color: #{$nav-tabs-border-color};\n  --#{$prefix}nav-tabs-border-radius: #{$nav-tabs-border-radius};\n  --#{$prefix}nav-tabs-link-hover-border-color: #{$nav-tabs-link-hover-border-color};\n  --#{$prefix}nav-tabs-link-active-color: #{$nav-tabs-link-active-color};\n  --#{$prefix}nav-tabs-link-active-bg: #{$nav-tabs-link-active-bg};\n  --#{$prefix}nav-tabs-link-active-border-color: #{$nav-tabs-link-active-border-color};\n  // scss-docs-end nav-tabs-css-vars\n\n  border-bottom: var(--#{$prefix}nav-tabs-border-width) solid var(--#{$prefix}nav-tabs-border-color);\n\n  .nav-link {\n    margin-bottom: calc(-1 * var(--#{$prefix}nav-tabs-border-width)); // stylelint-disable-line function-disallowed-list\n    border: var(--#{$prefix}nav-tabs-border-width) solid transparent;\n    @include border-top-radius(var(--#{$prefix}nav-tabs-border-radius));\n\n    &:hover,\n    &:focus {\n      // Prevents active .nav-link tab overlapping focus outline of previous/next .nav-link\n      isolation: isolate;\n      border-color: var(--#{$prefix}nav-tabs-link-hover-border-color);\n    }\n  }\n\n  .nav-link.active,\n  .nav-item.show .nav-link {\n    color: var(--#{$prefix}nav-tabs-link-active-color);\n    background-color: var(--#{$prefix}nav-tabs-link-active-bg);\n    border-color: var(--#{$prefix}nav-tabs-link-active-border-color);\n  }\n\n  .dropdown-menu {\n    // Make dropdown border overlap tab border\n    margin-top: calc(-1 * var(--#{$prefix}nav-tabs-border-width)); // stylelint-disable-line function-disallowed-list\n    // Remove the top rounded corners here since there is a hard edge above the menu\n    @include border-top-radius(0);\n  }\n}\n\n\n//\n// Pills\n//\n\n.nav-pills {\n  // scss-docs-start nav-pills-css-vars\n  --#{$prefix}nav-pills-border-radius: #{$nav-pills-border-radius};\n  --#{$prefix}nav-pills-link-active-color: #{$nav-pills-link-active-color};\n  --#{$prefix}nav-pills-link-active-bg: #{$nav-pills-link-active-bg};\n  // scss-docs-end nav-pills-css-vars\n\n  .nav-link {\n    @include border-radius(var(--#{$prefix}nav-pills-border-radius));\n  }\n\n  .nav-link.active,\n  .show > .nav-link {\n    color: var(--#{$prefix}nav-pills-link-active-color);\n    @include gradient-bg(var(--#{$prefix}nav-pills-link-active-bg));\n  }\n}\n\n\n//\n// Underline\n//\n\n.nav-underline {\n  // scss-docs-start nav-underline-css-vars\n  --#{$prefix}nav-underline-gap: #{$nav-underline-gap};\n  --#{$prefix}nav-underline-border-width: #{$nav-underline-border-width};\n  --#{$prefix}nav-underline-link-active-color: #{$nav-underline-link-active-color};\n  // scss-docs-end nav-underline-css-vars\n\n  gap: var(--#{$prefix}nav-underline-gap);\n\n  .nav-link {\n    padding-right: 0;\n    padding-left: 0;\n    border-bottom: var(--#{$prefix}nav-underline-border-width) solid transparent;\n\n    &:hover,\n    &:focus {\n      border-bottom-color: currentcolor;\n    }\n  }\n\n  .nav-link.active,\n  .show > .nav-link {\n    font-weight: $font-weight-bold;\n    color: var(--#{$prefix}nav-underline-link-active-color);\n    border-bottom-color: currentcolor;\n  }\n}\n\n\n//\n// Justified variants\n//\n\n.nav-fill {\n  > .nav-link,\n  .nav-item {\n    flex: 1 1 auto;\n    text-align: center;\n  }\n}\n\n.nav-justified {\n  > .nav-link,\n  .nav-item {\n    flex-basis: 0;\n    flex-grow: 1;\n    text-align: center;\n  }\n}\n\n.nav-fill,\n.nav-justified {\n  .nav-item .nav-link {\n    width: 100%; // Make sure button will grow\n  }\n}\n\n\n// Tabbable tabs\n//\n// Hide tabbable panes to start, show them when `.active`\n\n.tab-content {\n  > .tab-pane {\n    display: none;\n  }\n  > .active {\n    display: block;\n  }\n}\n","// Navbar\n//\n// Provide a static navbar from which we expand to create full-width, fixed, and\n// other navbar variations.\n\n.navbar {\n  // scss-docs-start navbar-css-vars\n  --#{$prefix}navbar-padding-x: #{if($navbar-padding-x == null, 0, $navbar-padding-x)};\n  --#{$prefix}navbar-padding-y: #{$navbar-padding-y};\n  --#{$prefix}navbar-color: #{$navbar-light-color};\n  --#{$prefix}navbar-hover-color: #{$navbar-light-hover-color};\n  --#{$prefix}navbar-disabled-color: #{$navbar-light-disabled-color};\n  --#{$prefix}navbar-active-color: #{$navbar-light-active-color};\n  --#{$prefix}navbar-brand-padding-y: #{$navbar-brand-padding-y};\n  --#{$prefix}navbar-brand-margin-end: #{$navbar-brand-margin-end};\n  --#{$prefix}navbar-brand-font-size: #{$navbar-brand-font-size};\n  --#{$prefix}navbar-brand-color: #{$navbar-light-brand-color};\n  --#{$prefix}navbar-brand-hover-color: #{$navbar-light-brand-hover-color};\n  --#{$prefix}navbar-nav-link-padding-x: #{$navbar-nav-link-padding-x};\n  --#{$prefix}navbar-toggler-padding-y: #{$navbar-toggler-padding-y};\n  --#{$prefix}navbar-toggler-padding-x: #{$navbar-toggler-padding-x};\n  --#{$prefix}navbar-toggler-font-size: #{$navbar-toggler-font-size};\n  --#{$prefix}navbar-toggler-icon-bg: #{escape-svg($navbar-light-toggler-icon-bg)};\n  --#{$prefix}navbar-toggler-border-color: #{$navbar-light-toggler-border-color};\n  --#{$prefix}navbar-toggler-border-radius: #{$navbar-toggler-border-radius};\n  --#{$prefix}navbar-toggler-focus-width: #{$navbar-toggler-focus-width};\n  --#{$prefix}navbar-toggler-transition: #{$navbar-toggler-transition};\n  // scss-docs-end navbar-css-vars\n\n  position: relative;\n  display: flex;\n  flex-wrap: wrap; // allow us to do the line break for collapsing content\n  align-items: center;\n  justify-content: space-between; // space out brand from logo\n  padding: var(--#{$prefix}navbar-padding-y) var(--#{$prefix}navbar-padding-x);\n  @include gradient-bg();\n\n  // Because flex properties aren't inherited, we need to redeclare these first\n  // few properties so that content nested within behave properly.\n  // The `flex-wrap` property is inherited to simplify the expanded navbars\n  %container-flex-properties {\n    display: flex;\n    flex-wrap: inherit;\n    align-items: center;\n    justify-content: space-between;\n  }\n\n  > .container,\n  > .container-fluid {\n    @extend %container-flex-properties;\n  }\n\n  @each $breakpoint, $container-max-width in $container-max-widths {\n    > .container#{breakpoint-infix($breakpoint, $container-max-widths)} {\n      @extend %container-flex-properties;\n    }\n  }\n}\n\n\n// Navbar brand\n//\n// Used for brand, project, or site names.\n\n.navbar-brand {\n  padding-top: var(--#{$prefix}navbar-brand-padding-y);\n  padding-bottom: var(--#{$prefix}navbar-brand-padding-y);\n  margin-right: var(--#{$prefix}navbar-brand-margin-end);\n  @include font-size(var(--#{$prefix}navbar-brand-font-size));\n  color: var(--#{$prefix}navbar-brand-color);\n  text-decoration: if($link-decoration == none, null, none);\n  white-space: nowrap;\n\n  &:hover,\n  &:focus {\n    color: var(--#{$prefix}navbar-brand-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n  }\n}\n\n\n// Navbar nav\n//\n// Custom navbar navigation (doesn't require `.nav`, but does make use of `.nav-link`).\n\n.navbar-nav {\n  // scss-docs-start navbar-nav-css-vars\n  --#{$prefix}nav-link-padding-x: 0;\n  --#{$prefix}nav-link-padding-y: #{$nav-link-padding-y};\n  @include rfs($nav-link-font-size, --#{$prefix}nav-link-font-size);\n  --#{$prefix}nav-link-font-weight: #{$nav-link-font-weight};\n  --#{$prefix}nav-link-color: var(--#{$prefix}navbar-color);\n  --#{$prefix}nav-link-hover-color: var(--#{$prefix}navbar-hover-color);\n  --#{$prefix}nav-link-disabled-color: var(--#{$prefix}navbar-disabled-color);\n  // scss-docs-end navbar-nav-css-vars\n\n  display: flex;\n  flex-direction: column; // cannot use `inherit` to get the `.navbar`s value\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n\n  .nav-link {\n    &.active,\n    &.show {\n      color: var(--#{$prefix}navbar-active-color);\n    }\n  }\n\n  .dropdown-menu {\n    position: static;\n  }\n}\n\n\n// Navbar text\n//\n//\n\n.navbar-text {\n  padding-top: $nav-link-padding-y;\n  padding-bottom: $nav-link-padding-y;\n  color: var(--#{$prefix}navbar-color);\n\n  a,\n  a:hover,\n  a:focus  {\n    color: var(--#{$prefix}navbar-active-color);\n  }\n}\n\n\n// Responsive navbar\n//\n// Custom styles for responsive collapsing and toggling of navbar contents.\n// Powered by the collapse Bootstrap JavaScript plugin.\n\n// When collapsed, prevent the toggleable navbar contents from appearing in\n// the default flexbox row orientation. Requires the use of `flex-wrap: wrap`\n// on the `.navbar` parent.\n.navbar-collapse {\n  flex-basis: 100%;\n  flex-grow: 1;\n  // For always expanded or extra full navbars, ensure content aligns itself\n  // properly vertically. Can be easily overridden with flex utilities.\n  align-items: center;\n}\n\n// Button for toggling the navbar when in its collapsed state\n.navbar-toggler {\n  padding: var(--#{$prefix}navbar-toggler-padding-y) var(--#{$prefix}navbar-toggler-padding-x);\n  @include font-size(var(--#{$prefix}navbar-toggler-font-size));\n  line-height: 1;\n  color: var(--#{$prefix}navbar-color);\n  background-color: transparent; // remove default button style\n  border: var(--#{$prefix}border-width) solid var(--#{$prefix}navbar-toggler-border-color); // remove default button style\n  @include border-radius(var(--#{$prefix}navbar-toggler-border-radius));\n  @include transition(var(--#{$prefix}navbar-toggler-transition));\n\n  &:hover {\n    text-decoration: none;\n  }\n\n  &:focus {\n    text-decoration: none;\n    outline: 0;\n    box-shadow: 0 0 0 var(--#{$prefix}navbar-toggler-focus-width);\n  }\n}\n\n// Keep as a separate element so folks can easily override it with another icon\n// or image file as needed.\n.navbar-toggler-icon {\n  display: inline-block;\n  width: 1.5em;\n  height: 1.5em;\n  vertical-align: middle;\n  background-image: var(--#{$prefix}navbar-toggler-icon-bg);\n  background-repeat: no-repeat;\n  background-position: center;\n  background-size: 100%;\n}\n\n.navbar-nav-scroll {\n  max-height: var(--#{$prefix}scroll-height, 75vh);\n  overflow-y: auto;\n}\n\n// scss-docs-start navbar-expand-loop\n// Generate series of `.navbar-expand-*` responsive classes for configuring\n// where your navbar collapses.\n.navbar-expand {\n  @each $breakpoint in map-keys($grid-breakpoints) {\n    $next: breakpoint-next($breakpoint, $grid-breakpoints);\n    $infix: breakpoint-infix($next, $grid-breakpoints);\n\n    // stylelint-disable-next-line scss/selector-no-union-class-name\n    &#{$infix} {\n      @include media-breakpoint-up($next) {\n        flex-wrap: nowrap;\n        justify-content: flex-start;\n\n        .navbar-nav {\n          flex-direction: row;\n\n          .dropdown-menu {\n            position: absolute;\n          }\n\n          .nav-link {\n            padding-right: var(--#{$prefix}navbar-nav-link-padding-x);\n            padding-left: var(--#{$prefix}navbar-nav-link-padding-x);\n          }\n        }\n\n        .navbar-nav-scroll {\n          overflow: visible;\n        }\n\n        .navbar-collapse {\n          display: flex !important; // stylelint-disable-line declaration-no-important\n          flex-basis: auto;\n        }\n\n        .navbar-toggler {\n          display: none;\n        }\n\n        .offcanvas {\n          // stylelint-disable declaration-no-important\n          position: static;\n          z-index: auto;\n          flex-grow: 1;\n          width: auto !important;\n          height: auto !important;\n          visibility: visible !important;\n          background-color: transparent !important;\n          border: 0 !important;\n          transform: none !important;\n          @include box-shadow(none);\n          @include transition(none);\n          // stylelint-enable declaration-no-important\n\n          .offcanvas-header {\n            display: none;\n          }\n\n          .offcanvas-body {\n            display: flex;\n            flex-grow: 0;\n            padding: 0;\n            overflow-y: visible;\n          }\n        }\n      }\n    }\n  }\n}\n// scss-docs-end navbar-expand-loop\n\n// Navbar themes\n//\n// Styles for switching between navbars with light or dark background.\n\n.navbar-light {\n  @include deprecate(\"`.navbar-light`\", \"v5.2.0\", \"v6.0.0\", true);\n}\n\n.navbar-dark,\n.navbar[data-bs-theme=\"dark\"] {\n  // scss-docs-start navbar-dark-css-vars\n  --#{$prefix}navbar-color: #{$navbar-dark-color};\n  --#{$prefix}navbar-hover-color: #{$navbar-dark-hover-color};\n  --#{$prefix}navbar-disabled-color: #{$navbar-dark-disabled-color};\n  --#{$prefix}navbar-active-color: #{$navbar-dark-active-color};\n  --#{$prefix}navbar-brand-color: #{$navbar-dark-brand-color};\n  --#{$prefix}navbar-brand-hover-color: #{$navbar-dark-brand-hover-color};\n  --#{$prefix}navbar-toggler-border-color: #{$navbar-dark-toggler-border-color};\n  --#{$prefix}navbar-toggler-icon-bg: #{escape-svg($navbar-dark-toggler-icon-bg)};\n  // scss-docs-end navbar-dark-css-vars\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .navbar-toggler-icon {\n      --#{$prefix}navbar-toggler-icon-bg: #{escape-svg($navbar-dark-toggler-icon-bg)};\n    }\n  }\n}\n","//\n// Base styles\n//\n\n.card {\n  // scss-docs-start card-css-vars\n  --#{$prefix}card-spacer-y: #{$card-spacer-y};\n  --#{$prefix}card-spacer-x: #{$card-spacer-x};\n  --#{$prefix}card-title-spacer-y: #{$card-title-spacer-y};\n  --#{$prefix}card-title-color: #{$card-title-color};\n  --#{$prefix}card-subtitle-color: #{$card-subtitle-color};\n  --#{$prefix}card-border-width: #{$card-border-width};\n  --#{$prefix}card-border-color: #{$card-border-color};\n  --#{$prefix}card-border-radius: #{$card-border-radius};\n  --#{$prefix}card-box-shadow: #{$card-box-shadow};\n  --#{$prefix}card-inner-border-radius: #{$card-inner-border-radius};\n  --#{$prefix}card-cap-padding-y: #{$card-cap-padding-y};\n  --#{$prefix}card-cap-padding-x: #{$card-cap-padding-x};\n  --#{$prefix}card-cap-bg: #{$card-cap-bg};\n  --#{$prefix}card-cap-color: #{$card-cap-color};\n  --#{$prefix}card-height: #{$card-height};\n  --#{$prefix}card-color: #{$card-color};\n  --#{$prefix}card-bg: #{$card-bg};\n  --#{$prefix}card-img-overlay-padding: #{$card-img-overlay-padding};\n  --#{$prefix}card-group-margin: #{$card-group-margin};\n  // scss-docs-end card-css-vars\n\n  position: relative;\n  display: flex;\n  flex-direction: column;\n  min-width: 0; // See https://github.com/twbs/bootstrap/pull/22740#issuecomment-305868106\n  height: var(--#{$prefix}card-height);\n  color: var(--#{$prefix}body-color);\n  word-wrap: break-word;\n  background-color: var(--#{$prefix}card-bg);\n  background-clip: border-box;\n  border: var(--#{$prefix}card-border-width) solid var(--#{$prefix}card-border-color);\n  @include border-radius(var(--#{$prefix}card-border-radius));\n  @include box-shadow(var(--#{$prefix}card-box-shadow));\n\n  > hr {\n    margin-right: 0;\n    margin-left: 0;\n  }\n\n  > .list-group {\n    border-top: inherit;\n    border-bottom: inherit;\n\n    &:first-child {\n      border-top-width: 0;\n      @include border-top-radius(var(--#{$prefix}card-inner-border-radius));\n    }\n\n    &:last-child  {\n      border-bottom-width: 0;\n      @include border-bottom-radius(var(--#{$prefix}card-inner-border-radius));\n    }\n  }\n\n  // Due to specificity of the above selector (`.card > .list-group`), we must\n  // use a child selector here to prevent double borders.\n  > .card-header + .list-group,\n  > .list-group + .card-footer {\n    border-top: 0;\n  }\n}\n\n.card-body {\n  // Enable `flex-grow: 1` for decks and groups so that card blocks take up\n  // as much space as possible, ensuring footers are aligned to the bottom.\n  flex: 1 1 auto;\n  padding: var(--#{$prefix}card-spacer-y) var(--#{$prefix}card-spacer-x);\n  color: var(--#{$prefix}card-color);\n}\n\n.card-title {\n  margin-bottom: var(--#{$prefix}card-title-spacer-y);\n  color: var(--#{$prefix}card-title-color);\n}\n\n.card-subtitle {\n  margin-top: calc(-.5 * var(--#{$prefix}card-title-spacer-y)); // stylelint-disable-line function-disallowed-list\n  margin-bottom: 0;\n  color: var(--#{$prefix}card-subtitle-color);\n}\n\n.card-text:last-child {\n  margin-bottom: 0;\n}\n\n.card-link {\n  &:hover {\n    text-decoration: if($link-hover-decoration == underline, none, null);\n  }\n\n  + .card-link {\n    margin-left: var(--#{$prefix}card-spacer-x);\n  }\n}\n\n//\n// Optional textual caps\n//\n\n.card-header {\n  padding: var(--#{$prefix}card-cap-padding-y) var(--#{$prefix}card-cap-padding-x);\n  margin-bottom: 0; // Removes the default margin-bottom of <hN>\n  color: var(--#{$prefix}card-cap-color);\n  background-color: var(--#{$prefix}card-cap-bg);\n  border-bottom: var(--#{$prefix}card-border-width) solid var(--#{$prefix}card-border-color);\n\n  &:first-child {\n    @include border-radius(var(--#{$prefix}card-inner-border-radius) var(--#{$prefix}card-inner-border-radius) 0 0);\n  }\n}\n\n.card-footer {\n  padding: var(--#{$prefix}card-cap-padding-y) var(--#{$prefix}card-cap-padding-x);\n  color: var(--#{$prefix}card-cap-color);\n  background-color: var(--#{$prefix}card-cap-bg);\n  border-top: var(--#{$prefix}card-border-width) solid var(--#{$prefix}card-border-color);\n\n  &:last-child {\n    @include border-radius(0 0 var(--#{$prefix}card-inner-border-radius) var(--#{$prefix}card-inner-border-radius));\n  }\n}\n\n\n//\n// Header navs\n//\n\n.card-header-tabs {\n  margin-right: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n  margin-bottom: calc(-1 * var(--#{$prefix}card-cap-padding-y)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n  border-bottom: 0;\n\n  .nav-link.active {\n    background-color: var(--#{$prefix}card-bg);\n    border-bottom-color: var(--#{$prefix}card-bg);\n  }\n}\n\n.card-header-pills {\n  margin-right: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n}\n\n// Card image\n.card-img-overlay {\n  position: absolute;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  padding: var(--#{$prefix}card-img-overlay-padding);\n  @include border-radius(var(--#{$prefix}card-inner-border-radius));\n}\n\n.card-img,\n.card-img-top,\n.card-img-bottom {\n  width: 100%; // Required because we use flexbox and this inherently applies align-self: stretch\n}\n\n.card-img,\n.card-img-top {\n  @include border-top-radius(var(--#{$prefix}card-inner-border-radius));\n}\n\n.card-img,\n.card-img-bottom {\n  @include border-bottom-radius(var(--#{$prefix}card-inner-border-radius));\n}\n\n\n//\n// Card groups\n//\n\n.card-group {\n  // The child selector allows nested `.card` within `.card-group`\n  // to display properly.\n  > .card {\n    margin-bottom: var(--#{$prefix}card-group-margin);\n  }\n\n  @include media-breakpoint-up(sm) {\n    display: flex;\n    flex-flow: row wrap;\n    // The child selector allows nested `.card` within `.card-group`\n    // to display properly.\n    > .card {\n      // Flexbugs #4: https://github.com/philipwalton/flexbugs#flexbug-4\n      flex: 1 0 0%;\n      margin-bottom: 0;\n\n      + .card {\n        margin-left: 0;\n        border-left: 0;\n      }\n\n      // Handle rounded corners\n      @if $enable-rounded {\n        &:not(:last-child) {\n          @include border-end-radius(0);\n\n          .card-img-top,\n          .card-header {\n            // stylelint-disable-next-line property-disallowed-list\n            border-top-right-radius: 0;\n          }\n          .card-img-bottom,\n          .card-footer {\n            // stylelint-disable-next-line property-disallowed-list\n            border-bottom-right-radius: 0;\n          }\n        }\n\n        &:not(:first-child) {\n          @include border-start-radius(0);\n\n          .card-img-top,\n          .card-header {\n            // stylelint-disable-next-line property-disallowed-list\n            border-top-left-radius: 0;\n          }\n          .card-img-bottom,\n          .card-footer {\n            // stylelint-disable-next-line property-disallowed-list\n            border-bottom-left-radius: 0;\n          }\n        }\n      }\n    }\n  }\n}\n","//\n// Base styles\n//\n\n.accordion {\n  // scss-docs-start accordion-css-vars\n  --#{$prefix}accordion-color: #{$accordion-color};\n  --#{$prefix}accordion-bg: #{$accordion-bg};\n  --#{$prefix}accordion-transition: #{$accordion-transition};\n  --#{$prefix}accordion-border-color: #{$accordion-border-color};\n  --#{$prefix}accordion-border-width: #{$accordion-border-width};\n  --#{$prefix}accordion-border-radius: #{$accordion-border-radius};\n  --#{$prefix}accordion-inner-border-radius: #{$accordion-inner-border-radius};\n  --#{$prefix}accordion-btn-padding-x: #{$accordion-button-padding-x};\n  --#{$prefix}accordion-btn-padding-y: #{$accordion-button-padding-y};\n  --#{$prefix}accordion-btn-color: #{$accordion-button-color};\n  --#{$prefix}accordion-btn-bg: #{$accordion-button-bg};\n  --#{$prefix}accordion-btn-icon: #{escape-svg($accordion-button-icon)};\n  --#{$prefix}accordion-btn-icon-width: #{$accordion-icon-width};\n  --#{$prefix}accordion-btn-icon-transform: #{$accordion-icon-transform};\n  --#{$prefix}accordion-btn-icon-transition: #{$accordion-icon-transition};\n  --#{$prefix}accordion-btn-active-icon: #{escape-svg($accordion-button-active-icon)};\n  --#{$prefix}accordion-btn-focus-box-shadow: #{$accordion-button-focus-box-shadow};\n  --#{$prefix}accordion-body-padding-x: #{$accordion-body-padding-x};\n  --#{$prefix}accordion-body-padding-y: #{$accordion-body-padding-y};\n  --#{$prefix}accordion-active-color: #{$accordion-button-active-color};\n  --#{$prefix}accordion-active-bg: #{$accordion-button-active-bg};\n  // scss-docs-end accordion-css-vars\n}\n\n.accordion-button {\n  position: relative;\n  display: flex;\n  align-items: center;\n  width: 100%;\n  padding: var(--#{$prefix}accordion-btn-padding-y) var(--#{$prefix}accordion-btn-padding-x);\n  @include font-size($font-size-base);\n  color: var(--#{$prefix}accordion-btn-color);\n  text-align: left; // Reset button style\n  background-color: var(--#{$prefix}accordion-btn-bg);\n  border: 0;\n  @include border-radius(0);\n  overflow-anchor: none;\n  @include transition(var(--#{$prefix}accordion-transition));\n\n  &:not(.collapsed) {\n    color: var(--#{$prefix}accordion-active-color);\n    background-color: var(--#{$prefix}accordion-active-bg);\n    box-shadow: inset 0 calc(-1 * var(--#{$prefix}accordion-border-width)) 0 var(--#{$prefix}accordion-border-color); // stylelint-disable-line function-disallowed-list\n\n    &::after {\n      background-image: var(--#{$prefix}accordion-btn-active-icon);\n      transform: var(--#{$prefix}accordion-btn-icon-transform);\n    }\n  }\n\n  // Accordion icon\n  &::after {\n    flex-shrink: 0;\n    width: var(--#{$prefix}accordion-btn-icon-width);\n    height: var(--#{$prefix}accordion-btn-icon-width);\n    margin-left: auto;\n    content: \"\";\n    background-image: var(--#{$prefix}accordion-btn-icon);\n    background-repeat: no-repeat;\n    background-size: var(--#{$prefix}accordion-btn-icon-width);\n    @include transition(var(--#{$prefix}accordion-btn-icon-transition));\n  }\n\n  &:hover {\n    z-index: 2;\n  }\n\n  &:focus {\n    z-index: 3;\n    outline: 0;\n    box-shadow: var(--#{$prefix}accordion-btn-focus-box-shadow);\n  }\n}\n\n.accordion-header {\n  margin-bottom: 0;\n}\n\n.accordion-item {\n  color: var(--#{$prefix}accordion-color);\n  background-color: var(--#{$prefix}accordion-bg);\n  border: var(--#{$prefix}accordion-border-width) solid var(--#{$prefix}accordion-border-color);\n\n  &:first-of-type {\n    @include border-top-radius(var(--#{$prefix}accordion-border-radius));\n\n    > .accordion-header .accordion-button {\n      @include border-top-radius(var(--#{$prefix}accordion-inner-border-radius));\n    }\n  }\n\n  &:not(:first-of-type) {\n    border-top: 0;\n  }\n\n  // Only set a border-radius on the last item if the accordion is collapsed\n  &:last-of-type {\n    @include border-bottom-radius(var(--#{$prefix}accordion-border-radius));\n\n    > .accordion-header .accordion-button {\n      &.collapsed {\n        @include border-bottom-radius(var(--#{$prefix}accordion-inner-border-radius));\n      }\n    }\n\n    > .accordion-collapse {\n      @include border-bottom-radius(var(--#{$prefix}accordion-border-radius));\n    }\n  }\n}\n\n.accordion-body {\n  padding: var(--#{$prefix}accordion-body-padding-y) var(--#{$prefix}accordion-body-padding-x);\n}\n\n\n// Flush accordion items\n//\n// Remove borders and border-radius to keep accordion items edge-to-edge.\n\n.accordion-flush {\n  > .accordion-item {\n    border-right: 0;\n    border-left: 0;\n    @include border-radius(0);\n\n    &:first-child { border-top: 0; }\n    &:last-child { border-bottom: 0; }\n\n    // stylelint-disable selector-max-class\n    > .accordion-header .accordion-button {\n      &,\n      &.collapsed {\n        @include border-radius(0);\n      }\n    }\n    // stylelint-enable selector-max-class\n\n    > .accordion-collapse {\n      @include border-radius(0);\n    }\n  }\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .accordion-button::after {\n      --#{$prefix}accordion-btn-icon: #{escape-svg($accordion-button-icon-dark)};\n      --#{$prefix}accordion-btn-active-icon: #{escape-svg($accordion-button-active-icon-dark)};\n    }\n  }\n}\n",".breadcrumb {\n  // scss-docs-start breadcrumb-css-vars\n  --#{$prefix}breadcrumb-padding-x: #{$breadcrumb-padding-x};\n  --#{$prefix}breadcrumb-padding-y: #{$breadcrumb-padding-y};\n  --#{$prefix}breadcrumb-margin-bottom: #{$breadcrumb-margin-bottom};\n  @include rfs($breadcrumb-font-size, --#{$prefix}breadcrumb-font-size);\n  --#{$prefix}breadcrumb-bg: #{$breadcrumb-bg};\n  --#{$prefix}breadcrumb-border-radius: #{$breadcrumb-border-radius};\n  --#{$prefix}breadcrumb-divider-color: #{$breadcrumb-divider-color};\n  --#{$prefix}breadcrumb-item-padding-x: #{$breadcrumb-item-padding-x};\n  --#{$prefix}breadcrumb-item-active-color: #{$breadcrumb-active-color};\n  // scss-docs-end breadcrumb-css-vars\n\n  display: flex;\n  flex-wrap: wrap;\n  padding: var(--#{$prefix}breadcrumb-padding-y) var(--#{$prefix}breadcrumb-padding-x);\n  margin-bottom: var(--#{$prefix}breadcrumb-margin-bottom);\n  @include font-size(var(--#{$prefix}breadcrumb-font-size));\n  list-style: none;\n  background-color: var(--#{$prefix}breadcrumb-bg);\n  @include border-radius(var(--#{$prefix}breadcrumb-border-radius));\n}\n\n.breadcrumb-item {\n  // The separator between breadcrumbs (by default, a forward-slash: \"/\")\n  + .breadcrumb-item {\n    padding-left: var(--#{$prefix}breadcrumb-item-padding-x);\n\n    &::before {\n      float: left; // Suppress inline spacings and underlining of the separator\n      padding-right: var(--#{$prefix}breadcrumb-item-padding-x);\n      color: var(--#{$prefix}breadcrumb-divider-color);\n      content: var(--#{$prefix}breadcrumb-divider, escape-svg($breadcrumb-divider)) #{\"/* rtl:\"} var(--#{$prefix}breadcrumb-divider, escape-svg($breadcrumb-divider-flipped)) #{\"*/\"};\n    }\n  }\n\n  &.active {\n    color: var(--#{$prefix}breadcrumb-item-active-color);\n  }\n}\n",".pagination {\n  // scss-docs-start pagination-css-vars\n  --#{$prefix}pagination-padding-x: #{$pagination-padding-x};\n  --#{$prefix}pagination-padding-y: #{$pagination-padding-y};\n  @include rfs($pagination-font-size, --#{$prefix}pagination-font-size);\n  --#{$prefix}pagination-color: #{$pagination-color};\n  --#{$prefix}pagination-bg: #{$pagination-bg};\n  --#{$prefix}pagination-border-width: #{$pagination-border-width};\n  --#{$prefix}pagination-border-color: #{$pagination-border-color};\n  --#{$prefix}pagination-border-radius: #{$pagination-border-radius};\n  --#{$prefix}pagination-hover-color: #{$pagination-hover-color};\n  --#{$prefix}pagination-hover-bg: #{$pagination-hover-bg};\n  --#{$prefix}pagination-hover-border-color: #{$pagination-hover-border-color};\n  --#{$prefix}pagination-focus-color: #{$pagination-focus-color};\n  --#{$prefix}pagination-focus-bg: #{$pagination-focus-bg};\n  --#{$prefix}pagination-focus-box-shadow: #{$pagination-focus-box-shadow};\n  --#{$prefix}pagination-active-color: #{$pagination-active-color};\n  --#{$prefix}pagination-active-bg: #{$pagination-active-bg};\n  --#{$prefix}pagination-active-border-color: #{$pagination-active-border-color};\n  --#{$prefix}pagination-disabled-color: #{$pagination-disabled-color};\n  --#{$prefix}pagination-disabled-bg: #{$pagination-disabled-bg};\n  --#{$prefix}pagination-disabled-border-color: #{$pagination-disabled-border-color};\n  // scss-docs-end pagination-css-vars\n\n  display: flex;\n  @include list-unstyled();\n}\n\n.page-link {\n  position: relative;\n  display: block;\n  padding: var(--#{$prefix}pagination-padding-y) var(--#{$prefix}pagination-padding-x);\n  @include font-size(var(--#{$prefix}pagination-font-size));\n  color: var(--#{$prefix}pagination-color);\n  text-decoration: if($link-decoration == none, null, none);\n  background-color: var(--#{$prefix}pagination-bg);\n  border: var(--#{$prefix}pagination-border-width) solid var(--#{$prefix}pagination-border-color);\n  @include transition($pagination-transition);\n\n  &:hover {\n    z-index: 2;\n    color: var(--#{$prefix}pagination-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n    background-color: var(--#{$prefix}pagination-hover-bg);\n    border-color: var(--#{$prefix}pagination-hover-border-color);\n  }\n\n  &:focus {\n    z-index: 3;\n    color: var(--#{$prefix}pagination-focus-color);\n    background-color: var(--#{$prefix}pagination-focus-bg);\n    outline: $pagination-focus-outline;\n    box-shadow: var(--#{$prefix}pagination-focus-box-shadow);\n  }\n\n  &.active,\n  .active > & {\n    z-index: 3;\n    color: var(--#{$prefix}pagination-active-color);\n    @include gradient-bg(var(--#{$prefix}pagination-active-bg));\n    border-color: var(--#{$prefix}pagination-active-border-color);\n  }\n\n  &.disabled,\n  .disabled > & {\n    color: var(--#{$prefix}pagination-disabled-color);\n    pointer-events: none;\n    background-color: var(--#{$prefix}pagination-disabled-bg);\n    border-color: var(--#{$prefix}pagination-disabled-border-color);\n  }\n}\n\n.page-item {\n  &:not(:first-child) .page-link {\n    margin-left: $pagination-margin-start;\n  }\n\n  @if $pagination-margin-start == calc(#{$pagination-border-width} * -1) {\n    &:first-child {\n      .page-link {\n        @include border-start-radius(var(--#{$prefix}pagination-border-radius));\n      }\n    }\n\n    &:last-child {\n      .page-link {\n        @include border-end-radius(var(--#{$prefix}pagination-border-radius));\n      }\n    }\n  } @else {\n    // Add border-radius to all pageLinks in case they have left margin\n    .page-link {\n      @include border-radius(var(--#{$prefix}pagination-border-radius));\n    }\n  }\n}\n\n\n//\n// Sizing\n//\n\n.pagination-lg {\n  @include pagination-size($pagination-padding-y-lg, $pagination-padding-x-lg, $font-size-lg, $pagination-border-radius-lg);\n}\n\n.pagination-sm {\n  @include pagination-size($pagination-padding-y-sm, $pagination-padding-x-sm, $font-size-sm, $pagination-border-radius-sm);\n}\n","// Pagination\n\n// scss-docs-start pagination-mixin\n@mixin pagination-size($padding-y, $padding-x, $font-size, $border-radius) {\n  --#{$prefix}pagination-padding-x: #{$padding-x};\n  --#{$prefix}pagination-padding-y: #{$padding-y};\n  @include rfs($font-size, --#{$prefix}pagination-font-size);\n  --#{$prefix}pagination-border-radius: #{$border-radius};\n}\n// scss-docs-end pagination-mixin\n","// Base class\n//\n// Requires one of the contextual, color modifier classes for `color` and\n// `background-color`.\n\n.badge {\n  // scss-docs-start badge-css-vars\n  --#{$prefix}badge-padding-x: #{$badge-padding-x};\n  --#{$prefix}badge-padding-y: #{$badge-padding-y};\n  @include rfs($badge-font-size, --#{$prefix}badge-font-size);\n  --#{$prefix}badge-font-weight: #{$badge-font-weight};\n  --#{$prefix}badge-color: #{$badge-color};\n  --#{$prefix}badge-border-radius: #{$badge-border-radius};\n  // scss-docs-end badge-css-vars\n\n  display: inline-block;\n  padding: var(--#{$prefix}badge-padding-y) var(--#{$prefix}badge-padding-x);\n  @include font-size(var(--#{$prefix}badge-font-size));\n  font-weight: var(--#{$prefix}badge-font-weight);\n  line-height: 1;\n  color: var(--#{$prefix}badge-color);\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: baseline;\n  @include border-radius(var(--#{$prefix}badge-border-radius));\n  @include gradient-bg();\n\n  // Empty badges collapse automatically\n  &:empty {\n    display: none;\n  }\n}\n\n// Quick fix for badges in buttons\n.btn .badge {\n  position: relative;\n  top: -1px;\n}\n","//\n// Base styles\n//\n\n.alert {\n  // scss-docs-start alert-css-vars\n  --#{$prefix}alert-bg: transparent;\n  --#{$prefix}alert-padding-x: #{$alert-padding-x};\n  --#{$prefix}alert-padding-y: #{$alert-padding-y};\n  --#{$prefix}alert-margin-bottom: #{$alert-margin-bottom};\n  --#{$prefix}alert-color: inherit;\n  --#{$prefix}alert-border-color: transparent;\n  --#{$prefix}alert-border: #{$alert-border-width} solid var(--#{$prefix}alert-border-color);\n  --#{$prefix}alert-border-radius: #{$alert-border-radius};\n  --#{$prefix}alert-link-color: inherit;\n  // scss-docs-end alert-css-vars\n\n  position: relative;\n  padding: var(--#{$prefix}alert-padding-y) var(--#{$prefix}alert-padding-x);\n  margin-bottom: var(--#{$prefix}alert-margin-bottom);\n  color: var(--#{$prefix}alert-color);\n  background-color: var(--#{$prefix}alert-bg);\n  border: var(--#{$prefix}alert-border);\n  @include border-radius(var(--#{$prefix}alert-border-radius));\n}\n\n// Headings for larger alerts\n.alert-heading {\n  // Specified to prevent conflicts of changing $headings-color\n  color: inherit;\n}\n\n// Provide class for links that match alerts\n.alert-link {\n  font-weight: $alert-link-font-weight;\n  color: var(--#{$prefix}alert-link-color);\n}\n\n\n// Dismissible alerts\n//\n// Expand the right padding and account for the close button's positioning.\n\n.alert-dismissible {\n  padding-right: $alert-dismissible-padding-r;\n\n  // Adjust close link position\n  .btn-close {\n    position: absolute;\n    top: 0;\n    right: 0;\n    z-index: $stretched-link-z-index + 1;\n    padding: $alert-padding-y * 1.25 $alert-padding-x;\n  }\n}\n\n\n// scss-docs-start alert-modifiers\n// Generate contextual modifier classes for colorizing the alert\n@each $state in map-keys($theme-colors) {\n  .alert-#{$state} {\n    --#{$prefix}alert-color: var(--#{$prefix}#{$state}-text-emphasis);\n    --#{$prefix}alert-bg: var(--#{$prefix}#{$state}-bg-subtle);\n    --#{$prefix}alert-border-color: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}alert-link-color: var(--#{$prefix}#{$state}-text-emphasis);\n  }\n}\n// scss-docs-end alert-modifiers\n","// Disable animation if transitions are disabled\n\n// scss-docs-start progress-keyframes\n@if $enable-transitions {\n  @keyframes progress-bar-stripes {\n    0% { background-position-x: $progress-height; }\n  }\n}\n// scss-docs-end progress-keyframes\n\n.progress,\n.progress-stacked {\n  // scss-docs-start progress-css-vars\n  --#{$prefix}progress-height: #{$progress-height};\n  @include rfs($progress-font-size, --#{$prefix}progress-font-size);\n  --#{$prefix}progress-bg: #{$progress-bg};\n  --#{$prefix}progress-border-radius: #{$progress-border-radius};\n  --#{$prefix}progress-box-shadow: #{$progress-box-shadow};\n  --#{$prefix}progress-bar-color: #{$progress-bar-color};\n  --#{$prefix}progress-bar-bg: #{$progress-bar-bg};\n  --#{$prefix}progress-bar-transition: #{$progress-bar-transition};\n  // scss-docs-end progress-css-vars\n\n  display: flex;\n  height: var(--#{$prefix}progress-height);\n  overflow: hidden; // force rounded corners by cropping it\n  @include font-size(var(--#{$prefix}progress-font-size));\n  background-color: var(--#{$prefix}progress-bg);\n  @include border-radius(var(--#{$prefix}progress-border-radius));\n  @include box-shadow(var(--#{$prefix}progress-box-shadow));\n}\n\n.progress-bar {\n  display: flex;\n  flex-direction: column;\n  justify-content: center;\n  overflow: hidden;\n  color: var(--#{$prefix}progress-bar-color);\n  text-align: center;\n  white-space: nowrap;\n  background-color: var(--#{$prefix}progress-bar-bg);\n  @include transition(var(--#{$prefix}progress-bar-transition));\n}\n\n.progress-bar-striped {\n  @include gradient-striped();\n  background-size: var(--#{$prefix}progress-height) var(--#{$prefix}progress-height);\n}\n\n.progress-stacked > .progress {\n  overflow: visible;\n}\n\n.progress-stacked > .progress > .progress-bar {\n  width: 100%;\n}\n\n@if $enable-transitions {\n  .progress-bar-animated {\n    animation: $progress-bar-animation-timing progress-bar-stripes;\n\n    @if $enable-reduced-motion {\n      @media (prefers-reduced-motion: reduce) {\n        animation: none;\n      }\n    }\n  }\n}\n","// Base class\n//\n// Easily usable on <ul>, <ol>, or <div>.\n\n.list-group {\n  // scss-docs-start list-group-css-vars\n  --#{$prefix}list-group-color: #{$list-group-color};\n  --#{$prefix}list-group-bg: #{$list-group-bg};\n  --#{$prefix}list-group-border-color: #{$list-group-border-color};\n  --#{$prefix}list-group-border-width: #{$list-group-border-width};\n  --#{$prefix}list-group-border-radius: #{$list-group-border-radius};\n  --#{$prefix}list-group-item-padding-x: #{$list-group-item-padding-x};\n  --#{$prefix}list-group-item-padding-y: #{$list-group-item-padding-y};\n  --#{$prefix}list-group-action-color: #{$list-group-action-color};\n  --#{$prefix}list-group-action-hover-color: #{$list-group-action-hover-color};\n  --#{$prefix}list-group-action-hover-bg: #{$list-group-hover-bg};\n  --#{$prefix}list-group-action-active-color: #{$list-group-action-active-color};\n  --#{$prefix}list-group-action-active-bg: #{$list-group-action-active-bg};\n  --#{$prefix}list-group-disabled-color: #{$list-group-disabled-color};\n  --#{$prefix}list-group-disabled-bg: #{$list-group-disabled-bg};\n  --#{$prefix}list-group-active-color: #{$list-group-active-color};\n  --#{$prefix}list-group-active-bg: #{$list-group-active-bg};\n  --#{$prefix}list-group-active-border-color: #{$list-group-active-border-color};\n  // scss-docs-end list-group-css-vars\n\n  display: flex;\n  flex-direction: column;\n\n  // No need to set list-style: none; since .list-group-item is block level\n  padding-left: 0; // reset padding because ul and ol\n  margin-bottom: 0;\n  @include border-radius(var(--#{$prefix}list-group-border-radius));\n}\n\n.list-group-numbered {\n  list-style-type: none;\n  counter-reset: section;\n\n  > .list-group-item::before {\n    // Increments only this instance of the section counter\n    content: counters(section, \".\") \". \";\n    counter-increment: section;\n  }\n}\n\n// Interactive list items\n//\n// Use anchor or button elements instead of `li`s or `div`s to create interactive\n// list items. Includes an extra `.active` modifier class for selected items.\n\n.list-group-item-action {\n  width: 100%; // For `<button>`s (anchors become 100% by default though)\n  color: var(--#{$prefix}list-group-action-color);\n  text-align: inherit; // For `<button>`s (anchors inherit)\n\n  // Hover state\n  &:hover,\n  &:focus {\n    z-index: 1; // Place hover/focus items above their siblings for proper border styling\n    color: var(--#{$prefix}list-group-action-hover-color);\n    text-decoration: none;\n    background-color: var(--#{$prefix}list-group-action-hover-bg);\n  }\n\n  &:active {\n    color: var(--#{$prefix}list-group-action-active-color);\n    background-color: var(--#{$prefix}list-group-action-active-bg);\n  }\n}\n\n// Individual list items\n//\n// Use on `li`s or `div`s within the `.list-group` parent.\n\n.list-group-item {\n  position: relative;\n  display: block;\n  padding: var(--#{$prefix}list-group-item-padding-y) var(--#{$prefix}list-group-item-padding-x);\n  color: var(--#{$prefix}list-group-color);\n  text-decoration: if($link-decoration == none, null, none);\n  background-color: var(--#{$prefix}list-group-bg);\n  border: var(--#{$prefix}list-group-border-width) solid var(--#{$prefix}list-group-border-color);\n\n  &:first-child {\n    @include border-top-radius(inherit);\n  }\n\n  &:last-child {\n    @include border-bottom-radius(inherit);\n  }\n\n  &.disabled,\n  &:disabled {\n    color: var(--#{$prefix}list-group-disabled-color);\n    pointer-events: none;\n    background-color: var(--#{$prefix}list-group-disabled-bg);\n  }\n\n  // Include both here for `<a>`s and `<button>`s\n  &.active {\n    z-index: 2; // Place active items above their siblings for proper border styling\n    color: var(--#{$prefix}list-group-active-color);\n    background-color: var(--#{$prefix}list-group-active-bg);\n    border-color: var(--#{$prefix}list-group-active-border-color);\n  }\n\n  // stylelint-disable-next-line scss/selector-no-redundant-nesting-selector\n  & + .list-group-item {\n    border-top-width: 0;\n\n    &.active {\n      margin-top: calc(-1 * var(--#{$prefix}list-group-border-width)); // stylelint-disable-line function-disallowed-list\n      border-top-width: var(--#{$prefix}list-group-border-width);\n    }\n  }\n}\n\n// Horizontal\n//\n// Change the layout of list group items from vertical (default) to horizontal.\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    .list-group-horizontal#{$infix} {\n      flex-direction: row;\n\n      > .list-group-item {\n        &:first-child:not(:last-child) {\n          @include border-bottom-start-radius(var(--#{$prefix}list-group-border-radius));\n          @include border-top-end-radius(0);\n        }\n\n        &:last-child:not(:first-child) {\n          @include border-top-end-radius(var(--#{$prefix}list-group-border-radius));\n          @include border-bottom-start-radius(0);\n        }\n\n        &.active {\n          margin-top: 0;\n        }\n\n        + .list-group-item {\n          border-top-width: var(--#{$prefix}list-group-border-width);\n          border-left-width: 0;\n\n          &.active {\n            margin-left: calc(-1 * var(--#{$prefix}list-group-border-width)); // stylelint-disable-line function-disallowed-list\n            border-left-width: var(--#{$prefix}list-group-border-width);\n          }\n        }\n      }\n    }\n  }\n}\n\n\n// Flush list items\n//\n// Remove borders and border-radius to keep list group items edge-to-edge. Most\n// useful within other components (e.g., cards).\n\n.list-group-flush {\n  @include border-radius(0);\n\n  > .list-group-item {\n    border-width: 0 0 var(--#{$prefix}list-group-border-width);\n\n    &:last-child {\n      border-bottom-width: 0;\n    }\n  }\n}\n\n\n// scss-docs-start list-group-modifiers\n// List group 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@each $state in map-keys($theme-colors) {\n  .list-group-item-#{$state} {\n    --#{$prefix}list-group-color: var(--#{$prefix}#{$state}-text-emphasis);\n    --#{$prefix}list-group-bg: var(--#{$prefix}#{$state}-bg-subtle);\n    --#{$prefix}list-group-border-color: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}list-group-action-hover-color: var(--#{$prefix}emphasis-color);\n    --#{$prefix}list-group-action-hover-bg: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}list-group-action-active-color: var(--#{$prefix}emphasis-color);\n    --#{$prefix}list-group-action-active-bg: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}list-group-active-color: var(--#{$prefix}#{$state}-bg-subtle);\n    --#{$prefix}list-group-active-bg: var(--#{$prefix}#{$state}-text-emphasis);\n    --#{$prefix}list-group-active-border-color: var(--#{$prefix}#{$state}-text-emphasis);\n  }\n}\n// scss-docs-end list-group-modifiers\n","// Transparent background and border properties included for button version.\n// iOS requires the button element instead of an anchor tag.\n// If you want the anchor version, it requires `href=\"#\"`.\n// See https://developer.mozilla.org/en-US/docs/Web/Events/click#Safari_Mobile\n\n.btn-close {\n  // scss-docs-start close-css-vars\n  --#{$prefix}btn-close-color: #{$btn-close-color};\n  --#{$prefix}btn-close-bg: #{ escape-svg($btn-close-bg) };\n  --#{$prefix}btn-close-opacity: #{$btn-close-opacity};\n  --#{$prefix}btn-close-hover-opacity: #{$btn-close-hover-opacity};\n  --#{$prefix}btn-close-focus-shadow: #{$btn-close-focus-shadow};\n  --#{$prefix}btn-close-focus-opacity: #{$btn-close-focus-opacity};\n  --#{$prefix}btn-close-disabled-opacity: #{$btn-close-disabled-opacity};\n  --#{$prefix}btn-close-white-filter: #{$btn-close-white-filter};\n  // scss-docs-end close-css-vars\n\n  box-sizing: content-box;\n  width: $btn-close-width;\n  height: $btn-close-height;\n  padding: $btn-close-padding-y $btn-close-padding-x;\n  color: var(--#{$prefix}btn-close-color);\n  background: transparent var(--#{$prefix}btn-close-bg) center / $btn-close-width auto no-repeat; // include transparent for button elements\n  border: 0; // for button elements\n  @include border-radius();\n  opacity: var(--#{$prefix}btn-close-opacity);\n\n  // Override <a>'s hover style\n  &:hover {\n    color: var(--#{$prefix}btn-close-color);\n    text-decoration: none;\n    opacity: var(--#{$prefix}btn-close-hover-opacity);\n  }\n\n  &:focus {\n    outline: 0;\n    box-shadow: var(--#{$prefix}btn-close-focus-shadow);\n    opacity: var(--#{$prefix}btn-close-focus-opacity);\n  }\n\n  &:disabled,\n  &.disabled {\n    pointer-events: none;\n    user-select: none;\n    opacity: var(--#{$prefix}btn-close-disabled-opacity);\n  }\n}\n\n@mixin btn-close-white() {\n  filter: var(--#{$prefix}btn-close-white-filter);\n}\n\n.btn-close-white {\n  @include btn-close-white();\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .btn-close {\n      @include btn-close-white();\n    }\n  }\n}\n",".toast {\n  // scss-docs-start toast-css-vars\n  --#{$prefix}toast-zindex: #{$zindex-toast};\n  --#{$prefix}toast-padding-x: #{$toast-padding-x};\n  --#{$prefix}toast-padding-y: #{$toast-padding-y};\n  --#{$prefix}toast-spacing: #{$toast-spacing};\n  --#{$prefix}toast-max-width: #{$toast-max-width};\n  @include rfs($toast-font-size, --#{$prefix}toast-font-size);\n  --#{$prefix}toast-color: #{$toast-color};\n  --#{$prefix}toast-bg: #{$toast-background-color};\n  --#{$prefix}toast-border-width: #{$toast-border-width};\n  --#{$prefix}toast-border-color: #{$toast-border-color};\n  --#{$prefix}toast-border-radius: #{$toast-border-radius};\n  --#{$prefix}toast-box-shadow: #{$toast-box-shadow};\n  --#{$prefix}toast-header-color: #{$toast-header-color};\n  --#{$prefix}toast-header-bg: #{$toast-header-background-color};\n  --#{$prefix}toast-header-border-color: #{$toast-header-border-color};\n  // scss-docs-end toast-css-vars\n\n  width: var(--#{$prefix}toast-max-width);\n  max-width: 100%;\n  @include font-size(var(--#{$prefix}toast-font-size));\n  color: var(--#{$prefix}toast-color);\n  pointer-events: auto;\n  background-color: var(--#{$prefix}toast-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}toast-border-width) solid var(--#{$prefix}toast-border-color);\n  box-shadow: var(--#{$prefix}toast-box-shadow);\n  @include border-radius(var(--#{$prefix}toast-border-radius));\n\n  &.showing {\n    opacity: 0;\n  }\n\n  &:not(.show) {\n    display: none;\n  }\n}\n\n.toast-container {\n  --#{$prefix}toast-zindex: #{$zindex-toast};\n\n  position: absolute;\n  z-index: var(--#{$prefix}toast-zindex);\n  width: max-content;\n  max-width: 100%;\n  pointer-events: none;\n\n  > :not(:last-child) {\n    margin-bottom: var(--#{$prefix}toast-spacing);\n  }\n}\n\n.toast-header {\n  display: flex;\n  align-items: center;\n  padding: var(--#{$prefix}toast-padding-y) var(--#{$prefix}toast-padding-x);\n  color: var(--#{$prefix}toast-header-color);\n  background-color: var(--#{$prefix}toast-header-bg);\n  background-clip: padding-box;\n  border-bottom: var(--#{$prefix}toast-border-width) solid var(--#{$prefix}toast-header-border-color);\n  @include border-top-radius(calc(var(--#{$prefix}toast-border-radius) - var(--#{$prefix}toast-border-width)));\n\n  .btn-close {\n    margin-right: calc(-.5 * var(--#{$prefix}toast-padding-x)); // stylelint-disable-line function-disallowed-list\n    margin-left: var(--#{$prefix}toast-padding-x);\n  }\n}\n\n.toast-body {\n  padding: var(--#{$prefix}toast-padding-x);\n  word-wrap: break-word;\n}\n","// stylelint-disable function-disallowed-list\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 stuff\n\n\n// Container that the modal scrolls within\n.modal {\n  // scss-docs-start modal-css-vars\n  --#{$prefix}modal-zindex: #{$zindex-modal};\n  --#{$prefix}modal-width: #{$modal-md};\n  --#{$prefix}modal-padding: #{$modal-inner-padding};\n  --#{$prefix}modal-margin: #{$modal-dialog-margin};\n  --#{$prefix}modal-color: #{$modal-content-color};\n  --#{$prefix}modal-bg: #{$modal-content-bg};\n  --#{$prefix}modal-border-color: #{$modal-content-border-color};\n  --#{$prefix}modal-border-width: #{$modal-content-border-width};\n  --#{$prefix}modal-border-radius: #{$modal-content-border-radius};\n  --#{$prefix}modal-box-shadow: #{$modal-content-box-shadow-xs};\n  --#{$prefix}modal-inner-border-radius: #{$modal-content-inner-border-radius};\n  --#{$prefix}modal-header-padding-x: #{$modal-header-padding-x};\n  --#{$prefix}modal-header-padding-y: #{$modal-header-padding-y};\n  --#{$prefix}modal-header-padding: #{$modal-header-padding}; // Todo in v6: Split this padding into x and y\n  --#{$prefix}modal-header-border-color: #{$modal-header-border-color};\n  --#{$prefix}modal-header-border-width: #{$modal-header-border-width};\n  --#{$prefix}modal-title-line-height: #{$modal-title-line-height};\n  --#{$prefix}modal-footer-gap: #{$modal-footer-margin-between};\n  --#{$prefix}modal-footer-bg: #{$modal-footer-bg};\n  --#{$prefix}modal-footer-border-color: #{$modal-footer-border-color};\n  --#{$prefix}modal-footer-border-width: #{$modal-footer-border-width};\n  // scss-docs-end modal-css-vars\n\n  position: fixed;\n  top: 0;\n  left: 0;\n  z-index: var(--#{$prefix}modal-zindex);\n  display: none;\n  width: 100%;\n  height: 100%;\n  overflow-x: hidden;\n  overflow-y: auto;\n  // Prevent Chrome on Windows from adding a focus outline. For details, see\n  // https://github.com/twbs/bootstrap/pull/10951.\n  outline: 0;\n  // We deliberately don't use `-webkit-overflow-scrolling: touch;` due to a\n  // gnarly iOS Safari bug: https://bugs.webkit.org/show_bug.cgi?id=158342\n  // See also https://github.com/twbs/bootstrap/issues/17695\n}\n\n// Shell div to position the modal with bottom padding\n.modal-dialog {\n  position: relative;\n  width: auto;\n  margin: var(--#{$prefix}modal-margin);\n  // allow clicks to pass through for custom click handling to close modal\n  pointer-events: none;\n\n  // When fading in the modal, animate it to slide down\n  .modal.fade & {\n    @include transition($modal-transition);\n    transform: $modal-fade-transform;\n  }\n  .modal.show & {\n    transform: $modal-show-transform;\n  }\n\n  // When trying to close, animate focus to scale\n  .modal.modal-static & {\n    transform: $modal-scale-transform;\n  }\n}\n\n.modal-dialog-scrollable {\n  height: calc(100% - var(--#{$prefix}modal-margin) * 2);\n\n  .modal-content {\n    max-height: 100%;\n    overflow: hidden;\n  }\n\n  .modal-body {\n    overflow-y: auto;\n  }\n}\n\n.modal-dialog-centered {\n  display: flex;\n  align-items: center;\n  min-height: calc(100% - var(--#{$prefix}modal-margin) * 2);\n}\n\n// Actual modal\n.modal-content {\n  position: relative;\n  display: flex;\n  flex-direction: column;\n  width: 100%; // Ensure `.modal-content` extends the full width of the parent `.modal-dialog`\n  // counteract the pointer-events: none; in the .modal-dialog\n  color: var(--#{$prefix}modal-color);\n  pointer-events: auto;\n  background-color: var(--#{$prefix}modal-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}modal-border-width) solid var(--#{$prefix}modal-border-color);\n  @include border-radius(var(--#{$prefix}modal-border-radius));\n  @include box-shadow(var(--#{$prefix}modal-box-shadow));\n  // Remove focus outline from opened modal\n  outline: 0;\n}\n\n// Modal background\n.modal-backdrop {\n  // scss-docs-start modal-backdrop-css-vars\n  --#{$prefix}backdrop-zindex: #{$zindex-modal-backdrop};\n  --#{$prefix}backdrop-bg: #{$modal-backdrop-bg};\n  --#{$prefix}backdrop-opacity: #{$modal-backdrop-opacity};\n  // scss-docs-end modal-backdrop-css-vars\n\n  @include overlay-backdrop(var(--#{$prefix}backdrop-zindex), var(--#{$prefix}backdrop-bg), var(--#{$prefix}backdrop-opacity));\n}\n\n// Modal header\n// Top section of the modal w/ title and dismiss\n.modal-header {\n  display: flex;\n  flex-shrink: 0;\n  align-items: center;\n  padding: var(--#{$prefix}modal-header-padding);\n  border-bottom: var(--#{$prefix}modal-header-border-width) solid var(--#{$prefix}modal-header-border-color);\n  @include border-top-radius(var(--#{$prefix}modal-inner-border-radius));\n\n  .btn-close {\n    padding: calc(var(--#{$prefix}modal-header-padding-y) * .5) calc(var(--#{$prefix}modal-header-padding-x) * .5);\n    margin: calc(-.5 * var(--#{$prefix}modal-header-padding-y)) calc(-.5 * var(--#{$prefix}modal-header-padding-x)) calc(-.5 * var(--#{$prefix}modal-header-padding-y)) auto;\n  }\n}\n\n// Title text within header\n.modal-title {\n  margin-bottom: 0;\n  line-height: var(--#{$prefix}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  // Enable `flex-grow: 1` so that the body take up as much space as possible\n  // when there should be a fixed height on `.modal-dialog`.\n  flex: 1 1 auto;\n  padding: var(--#{$prefix}modal-padding);\n}\n\n// Footer (for actions)\n.modal-footer {\n  display: flex;\n  flex-shrink: 0;\n  flex-wrap: wrap;\n  align-items: center; // vertically center\n  justify-content: flex-end; // Right align buttons with flex property because text-align doesn't work on flex items\n  padding: calc(var(--#{$prefix}modal-padding) - var(--#{$prefix}modal-footer-gap) * .5);\n  background-color: var(--#{$prefix}modal-footer-bg);\n  border-top: var(--#{$prefix}modal-footer-border-width) solid var(--#{$prefix}modal-footer-border-color);\n  @include border-bottom-radius(var(--#{$prefix}modal-inner-border-radius));\n\n  // Place margin between footer elements\n  // This solution is far from ideal because of the universal selector usage,\n  // but is needed to fix https://github.com/twbs/bootstrap/issues/24800\n  > * {\n    margin: calc(var(--#{$prefix}modal-footer-gap) * .5); // Todo in v6: replace with gap on parent class\n  }\n}\n\n// Scale up the modal\n@include media-breakpoint-up(sm) {\n  .modal {\n    --#{$prefix}modal-margin: #{$modal-dialog-margin-y-sm-up};\n    --#{$prefix}modal-box-shadow: #{$modal-content-box-shadow-sm-up};\n  }\n\n  // Automatically set modal's width for larger viewports\n  .modal-dialog {\n    max-width: var(--#{$prefix}modal-width);\n    margin-right: auto;\n    margin-left: auto;\n  }\n\n  .modal-sm {\n    --#{$prefix}modal-width: #{$modal-sm};\n  }\n}\n\n@include media-breakpoint-up(lg) {\n  .modal-lg,\n  .modal-xl {\n    --#{$prefix}modal-width: #{$modal-lg};\n  }\n}\n\n@include media-breakpoint-up(xl) {\n  .modal-xl {\n    --#{$prefix}modal-width: #{$modal-xl};\n  }\n}\n\n// scss-docs-start modal-fullscreen-loop\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n  $postfix: if($infix != \"\", $infix + \"-down\", \"\");\n\n  @include media-breakpoint-down($breakpoint) {\n    .modal-fullscreen#{$postfix} {\n      width: 100vw;\n      max-width: none;\n      height: 100%;\n      margin: 0;\n\n      .modal-content {\n        height: 100%;\n        border: 0;\n        @include border-radius(0);\n      }\n\n      .modal-header,\n      .modal-footer {\n        @include border-radius(0);\n      }\n\n      .modal-body {\n        overflow-y: auto;\n      }\n    }\n  }\n}\n// scss-docs-end modal-fullscreen-loop\n","// Shared between modals and offcanvases\n@mixin overlay-backdrop($zindex, $backdrop-bg, $backdrop-opacity) {\n  position: fixed;\n  top: 0;\n  left: 0;\n  z-index: $zindex;\n  width: 100vw;\n  height: 100vh;\n  background-color: $backdrop-bg;\n\n  // Fade for backdrop\n  &.fade { opacity: 0; }\n  &.show { opacity: $backdrop-opacity; }\n}\n","// Base class\n.tooltip {\n  // scss-docs-start tooltip-css-vars\n  --#{$prefix}tooltip-zindex: #{$zindex-tooltip};\n  --#{$prefix}tooltip-max-width: #{$tooltip-max-width};\n  --#{$prefix}tooltip-padding-x: #{$tooltip-padding-x};\n  --#{$prefix}tooltip-padding-y: #{$tooltip-padding-y};\n  --#{$prefix}tooltip-margin: #{$tooltip-margin};\n  @include rfs($tooltip-font-size, --#{$prefix}tooltip-font-size);\n  --#{$prefix}tooltip-color: #{$tooltip-color};\n  --#{$prefix}tooltip-bg: #{$tooltip-bg};\n  --#{$prefix}tooltip-border-radius: #{$tooltip-border-radius};\n  --#{$prefix}tooltip-opacity: #{$tooltip-opacity};\n  --#{$prefix}tooltip-arrow-width: #{$tooltip-arrow-width};\n  --#{$prefix}tooltip-arrow-height: #{$tooltip-arrow-height};\n  // scss-docs-end tooltip-css-vars\n\n  z-index: var(--#{$prefix}tooltip-zindex);\n  display: block;\n  margin: var(--#{$prefix}tooltip-margin);\n  @include deprecate(\"`$tooltip-margin`\", \"v5\", \"v5.x\", true);\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  @include reset-text();\n  @include font-size(var(--#{$prefix}tooltip-font-size));\n  // Allow breaking very long words so they don't overflow the tooltip's bounds\n  word-wrap: break-word;\n  opacity: 0;\n\n  &.show { opacity: var(--#{$prefix}tooltip-opacity); }\n\n  .tooltip-arrow {\n    display: block;\n    width: var(--#{$prefix}tooltip-arrow-width);\n    height: var(--#{$prefix}tooltip-arrow-height);\n\n    &::before {\n      position: absolute;\n      content: \"\";\n      border-color: transparent;\n      border-style: solid;\n    }\n  }\n}\n\n.bs-tooltip-top .tooltip-arrow {\n  bottom: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n\n  &::before {\n    top: -1px;\n    border-width: var(--#{$prefix}tooltip-arrow-height) calc(var(--#{$prefix}tooltip-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    border-top-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-tooltip-end .tooltip-arrow {\n  left: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n  width: var(--#{$prefix}tooltip-arrow-height);\n  height: var(--#{$prefix}tooltip-arrow-width);\n\n  &::before {\n    right: -1px;\n    border-width: calc(var(--#{$prefix}tooltip-arrow-width) * .5) var(--#{$prefix}tooltip-arrow-height) calc(var(--#{$prefix}tooltip-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    border-right-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-tooltip-bottom .tooltip-arrow {\n  top: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n\n  &::before {\n    bottom: -1px;\n    border-width: 0 calc(var(--#{$prefix}tooltip-arrow-width) * .5) var(--#{$prefix}tooltip-arrow-height); // stylelint-disable-line function-disallowed-list\n    border-bottom-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-tooltip-start .tooltip-arrow {\n  right: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n  width: var(--#{$prefix}tooltip-arrow-height);\n  height: var(--#{$prefix}tooltip-arrow-width);\n\n  &::before {\n    left: -1px;\n    border-width: calc(var(--#{$prefix}tooltip-arrow-width) * .5) 0 calc(var(--#{$prefix}tooltip-arrow-width) * .5) var(--#{$prefix}tooltip-arrow-height); // stylelint-disable-line function-disallowed-list\n    border-left-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-tooltip-auto {\n  &[data-popper-placement^=\"top\"] {\n    @extend .bs-tooltip-top;\n  }\n  &[data-popper-placement^=\"right\"] {\n    @extend .bs-tooltip-end;\n  }\n  &[data-popper-placement^=\"bottom\"] {\n    @extend .bs-tooltip-bottom;\n  }\n  &[data-popper-placement^=\"left\"] {\n    @extend .bs-tooltip-start;\n  }\n}\n\n// Wrapper for the tooltip content\n.tooltip-inner {\n  max-width: var(--#{$prefix}tooltip-max-width);\n  padding: var(--#{$prefix}tooltip-padding-y) var(--#{$prefix}tooltip-padding-x);\n  color: var(--#{$prefix}tooltip-color);\n  text-align: center;\n  background-color: var(--#{$prefix}tooltip-bg);\n  @include border-radius(var(--#{$prefix}tooltip-border-radius));\n}\n","@mixin reset-text {\n  font-family: $font-family-base;\n  // We deliberately do NOT reset font-size or overflow-wrap / word-wrap.\n  font-style: normal;\n  font-weight: $font-weight-normal;\n  line-height: $line-height-base;\n  text-align: left; // Fallback for where `start` is not supported\n  text-align: start;\n  text-decoration: none;\n  text-shadow: none;\n  text-transform: none;\n  letter-spacing: normal;\n  word-break: normal;\n  white-space: normal;\n  word-spacing: normal;\n  line-break: auto;\n}\n",".popover {\n  // scss-docs-start popover-css-vars\n  --#{$prefix}popover-zindex: #{$zindex-popover};\n  --#{$prefix}popover-max-width: #{$popover-max-width};\n  @include rfs($popover-font-size, --#{$prefix}popover-font-size);\n  --#{$prefix}popover-bg: #{$popover-bg};\n  --#{$prefix}popover-border-width: #{$popover-border-width};\n  --#{$prefix}popover-border-color: #{$popover-border-color};\n  --#{$prefix}popover-border-radius: #{$popover-border-radius};\n  --#{$prefix}popover-inner-border-radius: #{$popover-inner-border-radius};\n  --#{$prefix}popover-box-shadow: #{$popover-box-shadow};\n  --#{$prefix}popover-header-padding-x: #{$popover-header-padding-x};\n  --#{$prefix}popover-header-padding-y: #{$popover-header-padding-y};\n  @include rfs($popover-header-font-size, --#{$prefix}popover-header-font-size);\n  --#{$prefix}popover-header-color: #{$popover-header-color};\n  --#{$prefix}popover-header-bg: #{$popover-header-bg};\n  --#{$prefix}popover-body-padding-x: #{$popover-body-padding-x};\n  --#{$prefix}popover-body-padding-y: #{$popover-body-padding-y};\n  --#{$prefix}popover-body-color: #{$popover-body-color};\n  --#{$prefix}popover-arrow-width: #{$popover-arrow-width};\n  --#{$prefix}popover-arrow-height: #{$popover-arrow-height};\n  --#{$prefix}popover-arrow-border: var(--#{$prefix}popover-border-color);\n  // scss-docs-end popover-css-vars\n\n  z-index: var(--#{$prefix}popover-zindex);\n  display: block;\n  max-width: var(--#{$prefix}popover-max-width);\n  // Our parent element can be arbitrary since tooltips are by default inserted as a sibling of their target element.\n  // So reset our font and text properties to avoid inheriting weird values.\n  @include reset-text();\n  @include font-size(var(--#{$prefix}popover-font-size));\n  // Allow breaking very long words so they don't overflow the popover's bounds\n  word-wrap: break-word;\n  background-color: var(--#{$prefix}popover-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}popover-border-width) solid var(--#{$prefix}popover-border-color);\n  @include border-radius(var(--#{$prefix}popover-border-radius));\n  @include box-shadow(var(--#{$prefix}popover-box-shadow));\n\n  .popover-arrow {\n    display: block;\n    width: var(--#{$prefix}popover-arrow-width);\n    height: var(--#{$prefix}popover-arrow-height);\n\n    &::before,\n    &::after {\n      position: absolute;\n      display: block;\n      content: \"\";\n      border-color: transparent;\n      border-style: solid;\n      border-width: 0;\n    }\n  }\n}\n\n.bs-popover-top {\n  > .popover-arrow {\n    bottom: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n\n    &::before,\n    &::after {\n      border-width: var(--#{$prefix}popover-arrow-height) calc(var(--#{$prefix}popover-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      bottom: 0;\n      border-top-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      bottom: var(--#{$prefix}popover-border-width);\n      border-top-color: var(--#{$prefix}popover-bg);\n    }\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-popover-end {\n  > .popover-arrow {\n    left: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n    width: var(--#{$prefix}popover-arrow-height);\n    height: var(--#{$prefix}popover-arrow-width);\n\n    &::before,\n    &::after {\n      border-width: calc(var(--#{$prefix}popover-arrow-width) * .5) var(--#{$prefix}popover-arrow-height) calc(var(--#{$prefix}popover-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      left: 0;\n      border-right-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      left: var(--#{$prefix}popover-border-width);\n      border-right-color: var(--#{$prefix}popover-bg);\n    }\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-popover-bottom {\n  > .popover-arrow {\n    top: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n\n    &::before,\n    &::after {\n      border-width: 0 calc(var(--#{$prefix}popover-arrow-width) * .5) var(--#{$prefix}popover-arrow-height); // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      top: 0;\n      border-bottom-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      top: var(--#{$prefix}popover-border-width);\n      border-bottom-color: var(--#{$prefix}popover-bg);\n    }\n  }\n\n  // This will remove the popover-header's border just below the arrow\n  .popover-header::before {\n    position: absolute;\n    top: 0;\n    left: 50%;\n    display: block;\n    width: var(--#{$prefix}popover-arrow-width);\n    margin-left: calc(-.5 * var(--#{$prefix}popover-arrow-width)); // stylelint-disable-line function-disallowed-list\n    content: \"\";\n    border-bottom: var(--#{$prefix}popover-border-width) solid var(--#{$prefix}popover-header-bg);\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-popover-start {\n  > .popover-arrow {\n    right: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n    width: var(--#{$prefix}popover-arrow-height);\n    height: var(--#{$prefix}popover-arrow-width);\n\n    &::before,\n    &::after {\n      border-width: calc(var(--#{$prefix}popover-arrow-width) * .5) 0 calc(var(--#{$prefix}popover-arrow-width) * .5) var(--#{$prefix}popover-arrow-height); // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      right: 0;\n      border-left-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      right: var(--#{$prefix}popover-border-width);\n      border-left-color: var(--#{$prefix}popover-bg);\n    }\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-popover-auto {\n  &[data-popper-placement^=\"top\"] {\n    @extend .bs-popover-top;\n  }\n  &[data-popper-placement^=\"right\"] {\n    @extend .bs-popover-end;\n  }\n  &[data-popper-placement^=\"bottom\"] {\n    @extend .bs-popover-bottom;\n  }\n  &[data-popper-placement^=\"left\"] {\n    @extend .bs-popover-start;\n  }\n}\n\n// Offset the popover to account for the popover arrow\n.popover-header {\n  padding: var(--#{$prefix}popover-header-padding-y) var(--#{$prefix}popover-header-padding-x);\n  margin-bottom: 0; // Reset the default from Reboot\n  @include font-size(var(--#{$prefix}popover-header-font-size));\n  color: var(--#{$prefix}popover-header-color);\n  background-color: var(--#{$prefix}popover-header-bg);\n  border-bottom: var(--#{$prefix}popover-border-width) solid var(--#{$prefix}popover-border-color);\n  @include border-top-radius(var(--#{$prefix}popover-inner-border-radius));\n\n  &:empty {\n    display: none;\n  }\n}\n\n.popover-body {\n  padding: var(--#{$prefix}popover-body-padding-y) var(--#{$prefix}popover-body-padding-x);\n  color: var(--#{$prefix}popover-body-color);\n}\n","// Notes on the classes:\n//\n// 1. .carousel.pointer-event should ideally be pan-y (to allow for users to scroll vertically)\n//    even when their scroll action started on a carousel, but for compatibility (with Firefox)\n//    we're preventing all actions instead\n// 2. The .carousel-item-start and .carousel-item-end is used to indicate where\n//    the active slide is heading.\n// 3. .active.carousel-item is the current slide.\n// 4. .active.carousel-item-start and .active.carousel-item-end is the current\n//    slide in its in-transition state. Only one of these occurs at a time.\n// 5. .carousel-item-next.carousel-item-start and .carousel-item-prev.carousel-item-end\n//    is the upcoming slide in transition.\n\n.carousel {\n  position: relative;\n}\n\n.carousel.pointer-event {\n  touch-action: pan-y;\n}\n\n.carousel-inner {\n  position: relative;\n  width: 100%;\n  overflow: hidden;\n  @include clearfix();\n}\n\n.carousel-item {\n  position: relative;\n  display: none;\n  float: left;\n  width: 100%;\n  margin-right: -100%;\n  backface-visibility: hidden;\n  @include transition($carousel-transition);\n}\n\n.carousel-item.active,\n.carousel-item-next,\n.carousel-item-prev {\n  display: block;\n}\n\n.carousel-item-next:not(.carousel-item-start),\n.active.carousel-item-end {\n  transform: translateX(100%);\n}\n\n.carousel-item-prev:not(.carousel-item-end),\n.active.carousel-item-start {\n  transform: translateX(-100%);\n}\n\n\n//\n// Alternate transitions\n//\n\n.carousel-fade {\n  .carousel-item {\n    opacity: 0;\n    transition-property: opacity;\n    transform: none;\n  }\n\n  .carousel-item.active,\n  .carousel-item-next.carousel-item-start,\n  .carousel-item-prev.carousel-item-end {\n    z-index: 1;\n    opacity: 1;\n  }\n\n  .active.carousel-item-start,\n  .active.carousel-item-end {\n    z-index: 0;\n    opacity: 0;\n    @include transition(opacity 0s $carousel-transition-duration);\n  }\n}\n\n\n//\n// Left/right controls for nav\n//\n\n.carousel-control-prev,\n.carousel-control-next {\n  position: absolute;\n  top: 0;\n  bottom: 0;\n  z-index: 1;\n  // Use flex for alignment (1-3)\n  display: flex; // 1. allow flex styles\n  align-items: center; // 2. vertically center contents\n  justify-content: center; // 3. horizontally center contents\n  width: $carousel-control-width;\n  padding: 0;\n  color: $carousel-control-color;\n  text-align: center;\n  background: none;\n  border: 0;\n  opacity: $carousel-control-opacity;\n  @include transition($carousel-control-transition);\n\n  // Hover/focus state\n  &:hover,\n  &:focus {\n    color: $carousel-control-color;\n    text-decoration: none;\n    outline: 0;\n    opacity: $carousel-control-hover-opacity;\n  }\n}\n.carousel-control-prev {\n  left: 0;\n  background-image: if($enable-gradients, linear-gradient(90deg, rgba($black, .25), rgba($black, .001)), null);\n}\n.carousel-control-next {\n  right: 0;\n  background-image: if($enable-gradients, linear-gradient(270deg, rgba($black, .25), rgba($black, .001)), null);\n}\n\n// Icons for within\n.carousel-control-prev-icon,\n.carousel-control-next-icon {\n  display: inline-block;\n  width: $carousel-control-icon-width;\n  height: $carousel-control-icon-width;\n  background-repeat: no-repeat;\n  background-position: 50%;\n  background-size: 100% 100%;\n}\n\n.carousel-control-prev-icon {\n  background-image: escape-svg($carousel-control-prev-icon-bg) #{\"/*rtl:\" + escape-svg($carousel-control-next-icon-bg) + \"*/\"};\n}\n.carousel-control-next-icon {\n  background-image: escape-svg($carousel-control-next-icon-bg) #{\"/*rtl:\" + escape-svg($carousel-control-prev-icon-bg) + \"*/\"};\n}\n\n// Optional indicator pips/controls\n//\n// Add a container (such as a list) with the following class and add an item (ideally a focusable control,\n// like a button) with data-bs-target for each slide your carousel holds.\n\n.carousel-indicators {\n  position: absolute;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 2;\n  display: flex;\n  justify-content: center;\n  padding: 0;\n  // Use the .carousel-control's width as margin so we don't overlay those\n  margin-right: $carousel-control-width;\n  margin-bottom: 1rem;\n  margin-left: $carousel-control-width;\n\n  [data-bs-target] {\n    box-sizing: content-box;\n    flex: 0 1 auto;\n    width: $carousel-indicator-width;\n    height: $carousel-indicator-height;\n    padding: 0;\n    margin-right: $carousel-indicator-spacer;\n    margin-left: $carousel-indicator-spacer;\n    text-indent: -999px;\n    cursor: pointer;\n    background-color: $carousel-indicator-active-bg;\n    background-clip: padding-box;\n    border: 0;\n    // Use transparent borders to increase the hit area by 10px on top and bottom.\n    border-top: $carousel-indicator-hit-area-height solid transparent;\n    border-bottom: $carousel-indicator-hit-area-height solid transparent;\n    opacity: $carousel-indicator-opacity;\n    @include transition($carousel-indicator-transition);\n  }\n\n  .active {\n    opacity: $carousel-indicator-active-opacity;\n  }\n}\n\n\n// Optional captions\n//\n//\n\n.carousel-caption {\n  position: absolute;\n  right: (100% - $carousel-caption-width) * .5;\n  bottom: $carousel-caption-spacer;\n  left: (100% - $carousel-caption-width) * .5;\n  padding-top: $carousel-caption-padding-y;\n  padding-bottom: $carousel-caption-padding-y;\n  color: $carousel-caption-color;\n  text-align: center;\n}\n\n// Dark mode carousel\n\n@mixin carousel-dark() {\n  .carousel-control-prev-icon,\n  .carousel-control-next-icon {\n    filter: $carousel-dark-control-icon-filter;\n  }\n\n  .carousel-indicators [data-bs-target] {\n    background-color: $carousel-dark-indicator-active-bg;\n  }\n\n  .carousel-caption {\n    color: $carousel-dark-caption-color;\n  }\n}\n\n.carousel-dark {\n  @include carousel-dark();\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    @if $color-mode-type == \"media-query\" {\n      .carousel {\n        @include carousel-dark();\n      }\n    } @else {\n      .carousel,\n      &.carousel {\n        @include carousel-dark();\n      }\n    }\n  }\n}\n","// scss-docs-start clearfix\n@mixin clearfix() {\n  &::after {\n    display: block;\n    clear: both;\n    content: \"\";\n  }\n}\n// scss-docs-end clearfix\n","//\n// Rotating border\n//\n\n.spinner-grow,\n.spinner-border {\n  display: inline-block;\n  width: var(--#{$prefix}spinner-width);\n  height: var(--#{$prefix}spinner-height);\n  vertical-align: var(--#{$prefix}spinner-vertical-align);\n  // stylelint-disable-next-line property-disallowed-list\n  border-radius: 50%;\n  animation: var(--#{$prefix}spinner-animation-speed) linear infinite var(--#{$prefix}spinner-animation-name);\n}\n\n// scss-docs-start spinner-border-keyframes\n@keyframes spinner-border {\n  to { transform: rotate(360deg) #{\"/* rtl:ignore */\"}; }\n}\n// scss-docs-end spinner-border-keyframes\n\n.spinner-border {\n  // scss-docs-start spinner-border-css-vars\n  --#{$prefix}spinner-width: #{$spinner-width};\n  --#{$prefix}spinner-height: #{$spinner-height};\n  --#{$prefix}spinner-vertical-align: #{$spinner-vertical-align};\n  --#{$prefix}spinner-border-width: #{$spinner-border-width};\n  --#{$prefix}spinner-animation-speed: #{$spinner-animation-speed};\n  --#{$prefix}spinner-animation-name: spinner-border;\n  // scss-docs-end spinner-border-css-vars\n\n  border: var(--#{$prefix}spinner-border-width) solid currentcolor;\n  border-right-color: transparent;\n}\n\n.spinner-border-sm {\n  // scss-docs-start spinner-border-sm-css-vars\n  --#{$prefix}spinner-width: #{$spinner-width-sm};\n  --#{$prefix}spinner-height: #{$spinner-height-sm};\n  --#{$prefix}spinner-border-width: #{$spinner-border-width-sm};\n  // scss-docs-end spinner-border-sm-css-vars\n}\n\n//\n// Growing circle\n//\n\n// scss-docs-start spinner-grow-keyframes\n@keyframes spinner-grow {\n  0% {\n    transform: scale(0);\n  }\n  50% {\n    opacity: 1;\n    transform: none;\n  }\n}\n// scss-docs-end spinner-grow-keyframes\n\n.spinner-grow {\n  // scss-docs-start spinner-grow-css-vars\n  --#{$prefix}spinner-width: #{$spinner-width};\n  --#{$prefix}spinner-height: #{$spinner-height};\n  --#{$prefix}spinner-vertical-align: #{$spinner-vertical-align};\n  --#{$prefix}spinner-animation-speed: #{$spinner-animation-speed};\n  --#{$prefix}spinner-animation-name: spinner-grow;\n  // scss-docs-end spinner-grow-css-vars\n\n  background-color: currentcolor;\n  opacity: 0;\n}\n\n.spinner-grow-sm {\n  --#{$prefix}spinner-width: #{$spinner-width-sm};\n  --#{$prefix}spinner-height: #{$spinner-height-sm};\n}\n\n@if $enable-reduced-motion {\n  @media (prefers-reduced-motion: reduce) {\n    .spinner-border,\n    .spinner-grow {\n      --#{$prefix}spinner-animation-speed: #{$spinner-animation-speed * 2};\n    }\n  }\n}\n","// stylelint-disable function-disallowed-list\n\n%offcanvas-css-vars {\n  // scss-docs-start offcanvas-css-vars\n  --#{$prefix}offcanvas-zindex: #{$zindex-offcanvas};\n  --#{$prefix}offcanvas-width: #{$offcanvas-horizontal-width};\n  --#{$prefix}offcanvas-height: #{$offcanvas-vertical-height};\n  --#{$prefix}offcanvas-padding-x: #{$offcanvas-padding-x};\n  --#{$prefix}offcanvas-padding-y: #{$offcanvas-padding-y};\n  --#{$prefix}offcanvas-color: #{$offcanvas-color};\n  --#{$prefix}offcanvas-bg: #{$offcanvas-bg-color};\n  --#{$prefix}offcanvas-border-width: #{$offcanvas-border-width};\n  --#{$prefix}offcanvas-border-color: #{$offcanvas-border-color};\n  --#{$prefix}offcanvas-box-shadow: #{$offcanvas-box-shadow};\n  --#{$prefix}offcanvas-transition: #{transform $offcanvas-transition-duration ease-in-out};\n  --#{$prefix}offcanvas-title-line-height: #{$offcanvas-title-line-height};\n  // scss-docs-end offcanvas-css-vars\n}\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $next: breakpoint-next($breakpoint, $grid-breakpoints);\n  $infix: breakpoint-infix($next, $grid-breakpoints);\n\n  .offcanvas#{$infix} {\n    @extend %offcanvas-css-vars;\n  }\n}\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $next: breakpoint-next($breakpoint, $grid-breakpoints);\n  $infix: breakpoint-infix($next, $grid-breakpoints);\n\n  .offcanvas#{$infix} {\n    @include media-breakpoint-down($next) {\n      position: fixed;\n      bottom: 0;\n      z-index: var(--#{$prefix}offcanvas-zindex);\n      display: flex;\n      flex-direction: column;\n      max-width: 100%;\n      color: var(--#{$prefix}offcanvas-color);\n      visibility: hidden;\n      background-color: var(--#{$prefix}offcanvas-bg);\n      background-clip: padding-box;\n      outline: 0;\n      @include box-shadow(var(--#{$prefix}offcanvas-box-shadow));\n      @include transition(var(--#{$prefix}offcanvas-transition));\n\n      &.offcanvas-start {\n        top: 0;\n        left: 0;\n        width: var(--#{$prefix}offcanvas-width);\n        border-right: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateX(-100%);\n      }\n\n      &.offcanvas-end {\n        top: 0;\n        right: 0;\n        width: var(--#{$prefix}offcanvas-width);\n        border-left: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateX(100%);\n      }\n\n      &.offcanvas-top {\n        top: 0;\n        right: 0;\n        left: 0;\n        height: var(--#{$prefix}offcanvas-height);\n        max-height: 100%;\n        border-bottom: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateY(-100%);\n      }\n\n      &.offcanvas-bottom {\n        right: 0;\n        left: 0;\n        height: var(--#{$prefix}offcanvas-height);\n        max-height: 100%;\n        border-top: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateY(100%);\n      }\n\n      &.showing,\n      &.show:not(.hiding) {\n        transform: none;\n      }\n\n      &.showing,\n      &.hiding,\n      &.show {\n        visibility: visible;\n      }\n    }\n\n    @if not ($infix == \"\") {\n      @include media-breakpoint-up($next) {\n        --#{$prefix}offcanvas-height: auto;\n        --#{$prefix}offcanvas-border-width: 0;\n        background-color: transparent !important; // stylelint-disable-line declaration-no-important\n\n        .offcanvas-header {\n          display: none;\n        }\n\n        .offcanvas-body {\n          display: flex;\n          flex-grow: 0;\n          padding: 0;\n          overflow-y: visible;\n          // Reset `background-color` in case `.bg-*` classes are used in offcanvas\n          background-color: transparent !important; // stylelint-disable-line declaration-no-important\n        }\n      }\n    }\n  }\n}\n\n.offcanvas-backdrop {\n  @include overlay-backdrop($zindex-offcanvas-backdrop, $offcanvas-backdrop-bg, $offcanvas-backdrop-opacity);\n}\n\n.offcanvas-header {\n  display: flex;\n  align-items: center;\n  padding: var(--#{$prefix}offcanvas-padding-y) var(--#{$prefix}offcanvas-padding-x);\n\n  .btn-close {\n    padding: calc(var(--#{$prefix}offcanvas-padding-y) * .5) calc(var(--#{$prefix}offcanvas-padding-x) * .5);\n    margin: calc(-.5 * var(--#{$prefix}offcanvas-padding-y)) calc(-.5 * var(--#{$prefix}offcanvas-padding-x)) calc(-.5 * var(--#{$prefix}offcanvas-padding-y)) auto;\n  }\n}\n\n.offcanvas-title {\n  margin-bottom: 0;\n  line-height: var(--#{$prefix}offcanvas-title-line-height);\n}\n\n.offcanvas-body {\n  flex-grow: 1;\n  padding: var(--#{$prefix}offcanvas-padding-y) var(--#{$prefix}offcanvas-padding-x);\n  overflow-y: auto;\n}\n",".placeholder {\n  display: inline-block;\n  min-height: 1em;\n  vertical-align: middle;\n  cursor: wait;\n  background-color: currentcolor;\n  opacity: $placeholder-opacity-max;\n\n  &.btn::before {\n    display: inline-block;\n    content: \"\";\n  }\n}\n\n// Sizing\n.placeholder-xs {\n  min-height: .6em;\n}\n\n.placeholder-sm {\n  min-height: .8em;\n}\n\n.placeholder-lg {\n  min-height: 1.2em;\n}\n\n// Animation\n.placeholder-glow {\n  .placeholder {\n    animation: placeholder-glow 2s ease-in-out infinite;\n  }\n}\n\n@keyframes placeholder-glow {\n  50% {\n    opacity: $placeholder-opacity-min;\n  }\n}\n\n.placeholder-wave {\n  mask-image: linear-gradient(130deg, $black 55%, rgba(0, 0, 0, (1 - $placeholder-opacity-min)) 75%, $black 95%);\n  mask-size: 200% 100%;\n  animation: placeholder-wave 2s linear infinite;\n}\n\n@keyframes placeholder-wave {\n  100% {\n    mask-position: -200% 0%;\n  }\n}\n","// All-caps `RGBA()` function used because of this Sass bug: https://github.com/sass/node-sass/issues/2251\n@each $color, $value in $theme-colors {\n  .text-bg-#{$color} {\n    color: color-contrast($value) if($enable-important-utilities, !important, null);\n    background-color: RGBA(var(--#{$prefix}#{$color}-rgb), var(--#{$prefix}bg-opacity, 1)) if($enable-important-utilities, !important, null);\n  }\n}\n","// All-caps `RGBA()` function used because of this Sass bug: https://github.com/sass/node-sass/issues/2251\n@each $color, $value in $theme-colors {\n  .link-#{$color} {\n    color: RGBA(var(--#{$prefix}#{$color}-rgb), var(--#{$prefix}link-opacity, 1)) if($enable-important-utilities, !important, null);\n    text-decoration-color: RGBA(var(--#{$prefix}#{$color}-rgb), var(--#{$prefix}link-underline-opacity, 1)) if($enable-important-utilities, !important, null);\n\n    @if $link-shade-percentage != 0 {\n      &:hover,\n      &:focus {\n        $hover-color: if(color-contrast($value) == $color-contrast-light, shade-color($value, $link-shade-percentage), tint-color($value, $link-shade-percentage));\n        color: RGBA(#{to-rgb($hover-color)}, var(--#{$prefix}link-opacity, 1)) if($enable-important-utilities, !important, null);\n        text-decoration-color: RGBA(to-rgb($hover-color), var(--#{$prefix}link-underline-opacity, 1)) if($enable-important-utilities, !important, null);\n      }\n    }\n  }\n}\n\n// One-off special link helper as a bridge until v6\n.link-body-emphasis {\n  color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-opacity, 1)) if($enable-important-utilities, !important, null);\n  text-decoration-color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-underline-opacity, 1)) if($enable-important-utilities, !important, null);\n\n  @if $link-shade-percentage != 0 {\n    &:hover,\n    &:focus {\n      color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-opacity, .75)) if($enable-important-utilities, !important, null);\n      text-decoration-color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-underline-opacity, .75)) if($enable-important-utilities, !important, null);\n    }\n  }\n}\n",".focus-ring:focus {\n  outline: 0;\n  // By default, there is no `--bs-focus-ring-x`, `--bs-focus-ring-y`, or `--bs-focus-ring-blur`, but we provide CSS variables with fallbacks to initial `0` values\n  box-shadow: var(--#{$prefix}focus-ring-x, 0) var(--#{$prefix}focus-ring-y, 0) var(--#{$prefix}focus-ring-blur, 0) var(--#{$prefix}focus-ring-width) var(--#{$prefix}focus-ring-color);\n}\n",".icon-link {\n  display: inline-flex;\n  gap: $icon-link-gap;\n  align-items: center;\n  text-decoration-color: rgba(var(--#{$prefix}link-color-rgb), var(--#{$prefix}link-opacity, .5));\n  text-underline-offset: $icon-link-underline-offset;\n  backface-visibility: hidden;\n\n  > .bi {\n    flex-shrink: 0;\n    width: $icon-link-icon-size;\n    height: $icon-link-icon-size;\n    fill: currentcolor;\n    @include transition($icon-link-icon-transition);\n  }\n}\n\n.icon-link-hover {\n  &:hover,\n  &:focus-visible {\n    > .bi {\n      transform: var(--#{$prefix}icon-link-transform, $icon-link-icon-transform);\n    }\n  }\n}\n","// Credit: Nicolas Gallagher and SUIT CSS.\n\n.ratio {\n  position: relative;\n  width: 100%;\n\n  &::before {\n    display: block;\n    padding-top: var(--#{$prefix}aspect-ratio);\n    content: \"\";\n  }\n\n  > * {\n    position: absolute;\n    top: 0;\n    left: 0;\n    width: 100%;\n    height: 100%;\n  }\n}\n\n@each $key, $ratio in $aspect-ratios {\n  .ratio-#{$key} {\n    --#{$prefix}aspect-ratio: #{$ratio};\n  }\n}\n","// Shorthand\n\n.fixed-top {\n  position: fixed;\n  top: 0;\n  right: 0;\n  left: 0;\n  z-index: $zindex-fixed;\n}\n\n.fixed-bottom {\n  position: fixed;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: $zindex-fixed;\n}\n\n// Responsive sticky top and bottom\n@each $breakpoint in map-keys($grid-breakpoints) {\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    .sticky#{$infix}-top {\n      position: sticky;\n      top: 0;\n      z-index: $zindex-sticky;\n    }\n\n    .sticky#{$infix}-bottom {\n      position: sticky;\n      bottom: 0;\n      z-index: $zindex-sticky;\n    }\n  }\n}\n","// scss-docs-start stacks\n.hstack {\n  display: flex;\n  flex-direction: row;\n  align-items: center;\n  align-self: stretch;\n}\n\n.vstack {\n  display: flex;\n  flex: 1 1 auto;\n  flex-direction: column;\n  align-self: stretch;\n}\n// scss-docs-end stacks\n","//\n// Visually hidden\n//\n\n.visually-hidden,\n.visually-hidden-focusable:not(:focus):not(:focus-within) {\n  @include visually-hidden();\n}\n","// stylelint-disable declaration-no-important\n\n// Hide content visually while keeping it accessible to assistive technologies\n//\n// See: https://www.a11yproject.com/posts/2013-01-11-how-to-hide-content/\n// See: https://kittygiraudel.com/2016/10/13/css-hide-and-seek/\n\n@mixin visually-hidden() {\n  width: 1px !important;\n  height: 1px !important;\n  padding: 0 !important;\n  margin: -1px !important; // Fix for https://github.com/twbs/bootstrap/issues/25686\n  overflow: hidden !important;\n  clip: rect(0, 0, 0, 0) !important;\n  white-space: nowrap !important;\n  border: 0 !important;\n\n  // Fix for positioned table caption that could become anonymous cells\n  &:not(caption) {\n    position: absolute !important;\n  }\n}\n\n// Use to only display content when it's focused, or one of its child elements is focused\n// (i.e. when focus is within the element/container that the class was applied to)\n//\n// Useful for \"Skip to main content\" links; see https://www.w3.org/TR/2013/NOTE-WCAG20-TECHS-20130905/G1\n\n@mixin visually-hidden-focusable() {\n  &:not(:focus):not(:focus-within) {\n    @include visually-hidden();\n  }\n}\n","//\n// Stretched link\n//\n\n.stretched-link {\n  &::#{$stretched-link-pseudo-element} {\n    position: absolute;\n    top: 0;\n    right: 0;\n    bottom: 0;\n    left: 0;\n    z-index: $stretched-link-z-index;\n    content: \"\";\n  }\n}\n","//\n// Text truncation\n//\n\n.text-truncate {\n  @include text-truncate();\n}\n","// Text truncate\n// Requires inline-block or block for proper styling\n\n@mixin text-truncate() {\n  overflow: hidden;\n  text-overflow: ellipsis;\n  white-space: nowrap;\n}\n",".vr {\n  display: inline-block;\n  align-self: stretch;\n  width: $vr-border-width;\n  min-height: 1em;\n  background-color: currentcolor;\n  opacity: $hr-opacity;\n}\n","// Utility generator\n// Used to generate utilities & print utilities\n@mixin generate-utility($utility, $infix: \"\", $is-rfs-media-query: false) {\n  $values: map-get($utility, values);\n\n  // If the values are a list or string, convert it into a map\n  @if type-of($values) == \"string\" or type-of(nth($values, 1)) != \"list\" {\n    $values: zip($values, $values);\n  }\n\n  @each $key, $value in $values {\n    $properties: map-get($utility, property);\n\n    // Multiple properties are possible, for example with vertical or horizontal margins or paddings\n    @if type-of($properties) == \"string\" {\n      $properties: append((), $properties);\n    }\n\n    // Use custom class if present\n    $property-class: if(map-has-key($utility, class), map-get($utility, class), nth($properties, 1));\n    $property-class: if($property-class == null, \"\", $property-class);\n\n    // Use custom CSS variable name if present, otherwise default to `class`\n    $css-variable-name: if(map-has-key($utility, css-variable-name), map-get($utility, css-variable-name), map-get($utility, class));\n\n    // State params to generate pseudo-classes\n    $state: if(map-has-key($utility, state), map-get($utility, state), ());\n\n    $infix: if($property-class == \"\" and str-slice($infix, 1, 1) == \"-\", str-slice($infix, 2), $infix);\n\n    // Don't prefix if value key is null (e.g. with shadow class)\n    $property-class-modifier: if($key, if($property-class == \"\" and $infix == \"\", \"\", \"-\") + $key, \"\");\n\n    @if map-get($utility, rfs) {\n      // Inside the media query\n      @if $is-rfs-media-query {\n        $val: rfs-value($value);\n\n        // Do not render anything if fluid and non fluid values are the same\n        $value: if($val == rfs-fluid-value($value), null, $val);\n      }\n      @else {\n        $value: rfs-fluid-value($value);\n      }\n    }\n\n    $is-css-var: map-get($utility, css-var);\n    $is-local-vars: map-get($utility, local-vars);\n    $is-rtl: map-get($utility, rtl);\n\n    @if $value != null {\n      @if $is-rtl == false {\n        /* rtl:begin:remove */\n      }\n\n      @if $is-css-var {\n        .#{$property-class + $infix + $property-class-modifier} {\n          --#{$prefix}#{$css-variable-name}: #{$value};\n        }\n\n        @each $pseudo in $state {\n          .#{$property-class + $infix + $property-class-modifier}-#{$pseudo}:#{$pseudo} {\n            --#{$prefix}#{$css-variable-name}: #{$value};\n          }\n        }\n      } @else {\n        .#{$property-class + $infix + $property-class-modifier} {\n          @each $property in $properties {\n            @if $is-local-vars {\n              @each $local-var, $variable in $is-local-vars {\n                --#{$prefix}#{$local-var}: #{$variable};\n              }\n            }\n            #{$property}: $value if($enable-important-utilities, !important, null);\n          }\n        }\n\n        @each $pseudo in $state {\n          .#{$property-class + $infix + $property-class-modifier}-#{$pseudo}:#{$pseudo} {\n            @each $property in $properties {\n              @if $is-local-vars {\n                @each $local-var, $variable in $is-local-vars {\n                  --#{$prefix}#{$local-var}: #{$variable};\n                }\n              }\n              #{$property}: $value if($enable-important-utilities, !important, null);\n            }\n          }\n        }\n      }\n\n      @if $is-rtl == false {\n        /* rtl:end:remove */\n      }\n    }\n  }\n}\n","// Loop over each breakpoint\n@each $breakpoint in map-keys($grid-breakpoints) {\n\n  // Generate media query if needed\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    // Loop over each utility property\n    @each $key, $utility in $utilities {\n      // The utility can be disabled with `false`, thus check if the utility is a map first\n      // Only proceed if responsive media queries are enabled or if it's the base media query\n      @if type-of($utility) == \"map\" and (map-get($utility, responsive) or $infix == \"\") {\n        @include generate-utility($utility, $infix);\n      }\n    }\n  }\n}\n\n// RFS rescaling\n@media (min-width: $rfs-mq-value) {\n  @each $breakpoint in map-keys($grid-breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    @if (map-get($grid-breakpoints, $breakpoint) < $rfs-breakpoint) {\n      // Loop over each utility property\n      @each $key, $utility in $utilities {\n        // The utility can be disabled with `false`, thus check if the utility is a map first\n        // Only proceed if responsive media queries are enabled or if it's the base media query\n        @if type-of($utility) == \"map\" and map-get($utility, rfs) and (map-get($utility, responsive) or $infix == \"\") {\n          @include generate-utility($utility, $infix, true);\n        }\n      }\n    }\n  }\n}\n\n\n// Print utilities\n@media print {\n  @each $key, $utility in $utilities {\n    // The utility can be disabled with `false`, thus check if the utility is a map first\n    // Then check if the utility needs print styles\n    @if type-of($utility) == \"map\" and map-get($utility, print) == true {\n      @include generate-utility($utility, \"-print\");\n    }\n  }\n}\n"],"names":[],"sourceRoot":""}
\ No newline at end of file
diff --git a/_static/styles/pydata-sphinx-theme.css b/_static/styles/pydata-sphinx-theme.css
index ca295d8..3610bf3 100644
--- a/_static/styles/pydata-sphinx-theme.css
+++ b/_static/styles/pydata-sphinx-theme.css
@@ -1 +1,2 @@
-html{--pst-header-height:4rem;--pst-header-article-height:calc(var(--pst-header-height)*2/3);--pst-sidebar-secondary:17rem;--pst-font-size-base:1rem;--pst-font-size-h1:2.5rem;--pst-font-size-h2:2rem;--pst-font-size-h3:1.75rem;--pst-font-size-h4:1.5rem;--pst-font-size-h5:1.25rem;--pst-font-size-h6:1.1rem;--pst-font-size-milli:0.9rem;--pst-sidebar-font-size:0.9rem;--pst-sidebar-font-size-mobile:1.1rem;--pst-sidebar-header-font-size:1.2rem;--pst-sidebar-header-font-weight:600;--pst-admonition-font-weight-heading:600;--pst-font-weight-caption:300;--pst-font-weight-heading:400;--pst-font-family-base-system:-apple-system,BlinkMacSystemFont,Segoe UI,"Helvetica Neue",Arial,sans-serif,Apple Color Emoji,Segoe UI Emoji,Segoe UI Symbol;--pst-font-family-monospace-system:"SFMono-Regular",Menlo,Consolas,Monaco,Liberation Mono,Lucida Console,monospace;--pst-font-family-base:var(--pst-font-family-base-system);--pst-font-family-heading:var(--pst-font-family-base-system);--pst-font-family-monospace:var(--pst-font-family-monospace-system);--pst-font-size-icon:1.5rem;--pst-icon-check-circle:"";--pst-icon-info-circle:"";--pst-icon-exclamation-triangle:"";--pst-icon-exclamation-circle:"";--pst-icon-times-circle:"";--pst-icon-lightbulb:"";--pst-icon-download:"";--pst-icon-angle-left:"";--pst-icon-angle-right:"";--pst-icon-external-link:"";--pst-icon-search-minus:"";--pst-icon-github:"";--pst-icon-gitlab:"";--pst-icon-share:"";--pst-icon-bell:"";--pst-icon-pencil:"";--pst-breadcrumb-divider:"";--pst-icon-admonition-default:var(--pst-icon-bell);--pst-icon-admonition-note:var(--pst-icon-info-circle);--pst-icon-admonition-attention:var(--pst-icon-exclamation-circle);--pst-icon-admonition-caution:var(--pst-icon-exclamation-triangle);--pst-icon-admonition-warning:var(--pst-icon-exclamation-triangle);--pst-icon-admonition-danger:var(--pst-icon-exclamation-triangle);--pst-icon-admonition-error:var(--pst-icon-times-circle);--pst-icon-admonition-hint:var(--pst-icon-lightbulb);--pst-icon-admonition-tip:var(--pst-icon-lightbulb);--pst-icon-admonition-important:var(--pst-icon-exclamation-circle);--pst-icon-admonition-seealso:var(--pst-icon-share);--pst-icon-admonition-todo:var(--pst-icon-pencil);--pst-icon-versionmodified-default:var(--pst-icon-exclamation-circle);--pst-icon-versionmodified-added:var(--pst-icon-exclamation-circle);--pst-icon-versionmodified-changed:var(--pst-icon-exclamation-circle);--pst-icon-versionmodified-deprecated:var(--pst-icon-exclamation-circle);font-size:var(--pst-font-size-base);scroll-padding-top:calc(var(--pst-header-height) + 1rem)}body{background-color:var(--pst-color-background);color:var(--pst-color-text-base);display:flex;flex-direction:column;font-family:var(--pst-font-family-base);font-weight:400;line-height:1.65;min-height:100vh}body::-webkit-scrollbar{height:.5rem;width:.5rem}body::-webkit-scrollbar-thumb{background:var(--pst-color-text-muted);border-radius:.25rem}body::-webkit-scrollbar-track{background:transparent}body::-webkit-scrollbar-thumb{background:var(--pst-color-on-surface)}body::-webkit-scrollbar-thumb:hover,body:hover::-webkit-scrollbar-thumb{background:var(--pst-color-text-muted)}body::-webkit-scrollbar-track{background:var(--pst-color-background)}p{color:var(--pst-color-text-base);font-size:1em;margin-bottom:1.15rem}p.rubric{border-bottom:1px solid var(--pst-color-border)}p.centered{text-align:center}a{word-wrap:break-word;color:var(--pst-color-link);text-decoration:none}a:hover{color:var(--pst-color-link-hover);text-decoration:underline}a.headerlink{color:var(--pst-color-warning);font-size:.8em;margin-left:.2em;opacity:.4;padding:0 4px;text-decoration:none;transition:all .2s ease-out;user-select:none}a.headerlink:hover{opacity:1}a.github:before,a.gitlab:before{color:var(--pst-color-text-muted);font:var(--fa-font-brands);margin-right:.25rem}a.github:before{content:var(--pst-icon-github)}a.gitlab:before{content:var(--pst-icon-gitlab)}.heading-style,h1,h2,h3,h4,h5,h6{font-family:var(--pst-font-family-heading);font-weight:var(--pst-font-weight-heading);line-height:1.15;margin:2.75rem 0 1.05rem}h1{font-size:var(--pst-font-size-h1);margin-top:0}h1,h2{color:var(--pst-color-primary)}h2{font-size:var(--pst-font-size-h2)}h3{font-size:var(--pst-font-size-h3)}h3,h4{color:var(--pst-color-text-base)}h4{font-size:var(--pst-font-size-h4)}h5{font-size:var(--pst-font-size-h5)}h5,h6{color:var(--pst-color-text-base)}h6{font-size:var(--pst-font-size-h6)}.text_small,small{font-size:var(--pst-font-size-milli)}hr{border:0;border-top:1px solid var(--pst-color-border)}code,kbd,pre,samp{font-family:var(--pst-font-family-monospace)}kbd{background-color:var(--pst-color-on-background);color:var(--pst-color-text-muted)}kbd:not(.compound){border:1px solid var(--pst-color-border);box-shadow:1px 1px 1px var(--pst-color-shadow);margin:0 .1rem;padding:.1rem .4rem}code{color:var(--pst-color-inline-code)}pre{background-color:var(--pst-color-surface);border:1px solid var(--pst-color-border);border-radius:.25rem;color:var(--pst-color-text-base);line-height:1.2em;margin:1.5em 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table.dataframe tbody tr:hover{background-color:var(--pst-color-table-row-hover-bg)}html[data-theme=dark] .bd-content .nboutput .output_area.rendered_html:not(:has(table.dataframe)),html[data-theme=dark] .bd-content .nboutput .output_area .widget-subarea{color:var(--pst-color-on-background);background-color:var(--pst-color-text-base);border-radius:.25rem;padding:.5rem}html[data-theme=dark] .bd-content .nboutput .output_area.stderr{background-color:var(--pst-color-danger)}div.nblast.container{margin-bottom:1rem}div.cell_output .output{max-width:100%;overflow-x:auto}.bd-content div.cell_output table.dataframe{color:var(--pst-color-table);border:1px solid var(--pst-color-table-outer-border)}.bd-content div.cell_output table.dataframe th~th,.bd-content div.cell_output table.dataframe th~td,.bd-content div.cell_output table.dataframe td~th,.bd-content div.cell_output table.dataframe td~td{border-left:1px solid var(--pst-color-table-inner-border)}.bd-content div.cell_output table.dataframe thead tr{background-color:var(--pst-color-table-heading-bg);border-bottom:2px solid var(--pst-color-primary)}.bd-content div.cell_output table.dataframe tbody tr:nth-child(odd){background-color:var(--pst-color-table-row-zebra-low-bg)}.bd-content div.cell_output table.dataframe tbody tr:nth-child(even){background-color:var(--pst-color-table-row-zebra-high-bg)}.bd-content div.cell_output table.dataframe tbody tr:hover{background-color:var(--pst-color-table-row-hover-bg)}html[data-theme=dark] .bd-content div.cell_output img,html[data-theme=dark] .bd-content div.cell_output .text_html:not(:has(table.dataframe)),html[data-theme=dark] .bd-content div.cell_output .widget-subarea{color:var(--pst-color-on-background);background-color:var(--pst-color-text-base);border-radius:.25rem;padding:.5rem}.bd-content div.cell_input{display:flex;flex-direction:column;justify-content:stretch}.bd-content div.cell_input,.bd-content div.output{border-radius:.25rem}.bd-content div.output table{table-layout:auto}html[data-theme=dark] .bd-content img.leaflet-tile.leaflet-tile-loaded{border-radius:0;padding:0}.bd-search-container div#search-results>h2{font-size:var(--pst-font-size-icon);margin-top:1rem}.bd-search-container div#search-results p.search-summary{color:var(--pst-color-text-muted)}.bd-search-container ul.search{margin:0;list-style:none}.bd-search-container ul.search li{background-image:none;padding:1rem 0;margin:1rem 0;border-top:1px solid var(--pst-color-text-muted)}.bd-search-container ul.search li>a{font-size:1.2em}.bd-search-container ul.search li div.context,.bd-search-container ul.search li p.context{color:var(--pst-color-text-base);margin:.5em 0 0}.bd-search-container ul.search li div.context a::before,.bd-search-container ul.search li p.context a::before{content:\"#\";padding-right:.2em;color:var(--pst-color-text-muted)}","html {\n  /*****************************************************************************\n  * Overall Layout Variables\n  */\n\n  // Header height will impact the top offset for many sections\n  // Article header is 66% of Header\n  --pst-header-height: 4rem;\n  --pst-header-article-height: calc(var(--pst-header-height) * 2 / 3);\n  --pst-sidebar-secondary: 17rem;\n}\n\n/*******************************************************************************\n* Breakpoints that trigger UI changes\n*\n* Note that media-breakpoint-down begins at the next highest level!\n* So we should choose a media-breakpoint-down one *lower* than when we want to start\n* example: media-breakpoint-up(md) and media-breakpoint-down(sm) trigger at the same time\n* ref: https://github.com/twbs/bootstrap/issues/31214\n*/\n$breakpoint-sidebar-primary: lg; // When we collapse the primary sidebar\n$breakpoint-sidebar-secondary: xl; // When we collapse the secondary sidebar\n$breakpoint-page-width: 88rem; // taken from sphinx-basic-ng, which we are ultimately going to inherit\n\n/*******************************************************************************\n* Define the animation behaviour\n*/\n$animation-time: 200ms;\n\n/*******************************************************************************\n* UI shaping and padding\n*/\n$admonition-border-radius: 0.25rem;\n\n// In this theme, some focus rings have rounded corners while others do not.\n// This variable sets the border radius for the rounded focus rings.\n$focus-ring-radius: 0.125rem; // 2px at 100% zoom and 16px base font.\n\n$navbar-link-padding-y: 0.25rem;\n","html {\n  /*****************************************************************************\n  * Font features used in this theme\n  */\n\n  // base font size - applied at body/html level\n  --pst-font-size-base: 1rem;\n\n  // heading font sizes based on bootstrap sizing\n  --pst-font-size-h1: 2.5rem;\n  --pst-font-size-h2: 2rem;\n  --pst-font-size-h3: 1.75rem;\n  --pst-font-size-h4: 1.5rem;\n  --pst-font-size-h5: 1.25rem;\n  --pst-font-size-h6: 1.1rem;\n\n  // smaller than heading font sizes\n  --pst-font-size-milli: 0.9rem;\n\n  // Sidebar styles\n  --pst-sidebar-font-size: 0.9rem;\n  --pst-sidebar-font-size-mobile: 1.1rem;\n  --pst-sidebar-header-font-size: 1.2rem;\n  --pst-sidebar-header-font-weight: 600;\n\n  // Admonition styles\n  --pst-admonition-font-weight-heading: 600;\n\n  // Font weights\n  --pst-font-weight-caption: 300;\n  --pst-font-weight-heading: 400;\n\n  // Font family\n  // These are adapted from https://systemfontstack.com/ */\n  --pst-font-family-base-system: -apple-system, \"BlinkMacSystemFont\", \"Segoe UI\",\n    \"Helvetica Neue\", \"Arial\", sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\",\n    \"Segoe UI Symbol\";\n  --pst-font-family-monospace-system: \"SFMono-Regular\", \"Menlo\", \"Consolas\",\n    \"Monaco\", \"Liberation Mono\", \"Lucida Console\", monospace;\n  --pst-font-family-base: var(--pst-font-family-base-system);\n  --pst-font-family-heading: var(--pst-font-family-base-system);\n  --pst-font-family-monospace: var(--pst-font-family-monospace-system);\n}\n\n$line-height-body: 1.65;\n","html {\n  /*****************************************************************************\n  * Icon\n  */\n\n  // Font size across all icons\n  --pst-font-size-icon: 1.5rem;\n\n  // Font Awesome default icons\n  --pst-icon-check-circle: \"\\f058\"; // fa-solid fa-circle-check\n  --pst-icon-info-circle: \"\\f05a\"; // fa-solid fa-circle-info\n  --pst-icon-exclamation-triangle: \"\\f071\"; // fa-solid fa-triangle-exclamation\n  --pst-icon-exclamation-circle: \"\\f06a\"; // fa-solid fa-circle-exclamation\n  --pst-icon-times-circle: \"\\f057\"; // fa-solid fa-circle-xmark\n  --pst-icon-lightbulb: \"\\f0eb\"; // fa-solid fa-lightbulb\n  --pst-icon-download: \"\\f019\"; // fa-solid fa-download\n  --pst-icon-angle-left: \"\\f104\"; // fa-solid fa-angle-left\n  --pst-icon-angle-right: \"\\f105\"; // fa-solid fa-angle-right\n  --pst-icon-external-link: \"\\f35d\"; // fa-solid fa-up-right-from-square\n  --pst-icon-search-minus: \"\\f010\"; // fa-solid fa-magnifying-glass-minus\n  --pst-icon-github: \"\\f09b\"; // fa-brands fa-github\n  --pst-icon-gitlab: \"\\f296\"; // fa-brands fa-gitlab\n  --pst-icon-share: \"\\f064\"; // fa-solid fa-share\n  --pst-icon-bell: \"\\f0f3\"; // fa-solid fa-bell\n  --pst-icon-pencil: \"\\f303\"; // fa-solid fa-pencil\n\n  // Bootstrap icons\n  --pst-breadcrumb-divider: \"\\f105\";\n}\n","html {\n  /*****************************************************************************\n  * Admonitions\n  **/\n\n  --pst-icon-admonition-default: var(--pst-icon-bell);\n  --pst-icon-admonition-note: var(--pst-icon-info-circle);\n  --pst-icon-admonition-attention: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-caution: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-warning: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-danger: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-error: var(--pst-icon-times-circle);\n  --pst-icon-admonition-hint: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-tip: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-important: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-seealso: var(--pst-icon-share);\n  --pst-icon-admonition-todo: var(--pst-icon-pencil);\n}\n","html {\n  /*****************************************************************************\n  * versionmodified\n  **/\n\n  --pst-icon-versionmodified-default: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-added: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-changed: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-deprecated: var(--pst-icon-exclamation-circle);\n}\n","html {\n  font-size: var(--pst-font-size-base);\n  scroll-padding-top: calc(var(--pst-header-height) + 1rem);\n}\n\nbody {\n  background-color: var(--pst-color-background);\n  font-family: var(--pst-font-family-base);\n  font-weight: 400;\n  line-height: $line-height-body;\n  color: var(--pst-color-text-base);\n  min-height: 100vh;\n  display: flex;\n  flex-direction: column;\n\n  // hack to avoid the black background on some browser including Safari\n  &::-webkit-scrollbar-track {\n    background-color: var(--pst-color-background);\n  }\n}\n\np {\n  margin-bottom: 1.15rem;\n  font-size: 1em;\n\n  /* section header in docstring pages */\n  &.rubric {\n    border-bottom: 1px solid var(--pst-color-border);\n  }\n\n  &.centered {\n    text-align: center;\n  }\n}\n\na {\n  @include link-style-default;\n\n  // The # anchor that appears on hover over headings\n  &.headerlink {\n    color: var(--pst-color-secondary);\n    opacity: 0.7;\n    font-size: 0.8em;\n    padding: 0 4px;\n    margin-left: 0.2em;\n    text-decoration: none;\n    transition: all 0.2s ease-out;\n    user-select: none;\n\n    &:hover {\n      opacity: 1;\n    }\n  }\n\n  // set up a icon next to the shorten links from github and gitlab\n  &.github,\n  &.gitlab {\n    &::before {\n      color: var(--pst-color-text-muted);\n      font: var(--fa-font-brands);\n      margin-right: 0.25rem;\n    }\n  }\n\n  &.github::before {\n    content: var(--pst-icon-github);\n  }\n\n  &.gitlab::before {\n    content: var(--pst-icon-gitlab);\n  }\n}\n\n%heading-style {\n  margin: 2.75rem 0 1.05rem;\n  font-family: var(--pst-font-family-heading);\n  font-weight: var(--pst-font-weight-heading);\n  line-height: 1.15;\n}\n\nh1 {\n  @extend %heading-style;\n\n  margin-top: 0;\n  font-size: var(--pst-font-size-h1);\n  color: var(--pst-heading-color);\n}\n\nh2 {\n  @extend %heading-style;\n\n  font-size: var(--pst-font-size-h2);\n  color: var(--pst-heading-color);\n}\n\nh3 {\n  @extend %heading-style;\n\n  font-size: var(--pst-font-size-h3);\n  color: var(--pst-heading-color);\n}\n\nh4 {\n  @extend %heading-style;\n\n  font-size: var(--pst-font-size-h4);\n  color: var(--pst-heading-color);\n}\n\nh5 {\n  @extend %heading-style;\n\n  font-size: var(--pst-font-size-h5);\n  color: var(--pst-color-text-base);\n}\n\nh6 {\n  @extend %heading-style;\n\n  font-size: var(--pst-font-size-h6);\n  color: var(--pst-color-text-base);\n}\n\nsmall,\n.text_small {\n  font-size: var(--pst-font-size-milli);\n}\n\nhr {\n  border: 0;\n  border-top: 1px solid var(--pst-color-border);\n}\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: var(--pst-font-family-monospace);\n}\n\nkbd {\n  // use theme negative\n  background-color: var(--pst-color-on-background);\n  color: var(--pst-color-text-muted);\n\n  // Compound keyboard elements will have nested kbd in them, so this prevents double lines\n  &:not(.compound) {\n    border: 1px solid var(--pst-color-border);\n    margin: 0 0.1rem;\n    padding: 0.1rem 0.4rem;\n    box-shadow: 1px 1px 1px var(--pst-color-shadow);\n  }\n}\n\ncode {\n  color: var(--pst-color-inline-code);\n}\n\npre {\n  margin: 1.5em 0;\n  padding: 1rem;\n  background-color: var(--pst-color-surface);\n  color: var(--pst-color-text-base);\n  line-height: 1.2em;\n  border: 1px solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n\n  .linenos {\n    // minimum opacity to make the line numbers WCAG AA conformant\n    opacity: 0.8;\n    padding-right: 10px;\n  }\n}\n\n// the back to top btn\n#pst-back-to-top {\n  z-index: $zindex-tooltip;\n  position: fixed;\n  display: none;\n  top: 90vh;\n  left: 50vw;\n  transform: translate(-50%);\n  color: var(--pst-color-secondary-text);\n  background-color: var(--pst-color-secondary);\n  border: none;\n\n  .fa-arrow-up {\n    // Using margin instead of a space character prevents the space between the\n    // icon and the text from being underlined when the button is hovered.\n    margin-inline-end: 0.5em;\n  }\n\n  &:hover {\n    @include link-style-hover;\n\n    text-decoration-thickness: 1px;\n    background-color: var(--pst-violet-600);\n    color: var(--pst-color-secondary-text);\n  }\n\n  &:focus-visible {\n    box-shadow: none;\n    outline: $focus-ring-outline;\n    outline-color: var(--pst-color-secondary);\n    outline-offset: $focus-ring-width;\n  }\n}\n\n// Focus ring\n// ----------\n// Note: The Bootstrap stylesheet provides the focus ring (customized by this\n// theme via Sass variables in _bootstrap.scss) in some cases. This rule covers\n// all other cases.\n:focus-visible {\n  outline: $focus-ring-outline;\n  box-shadow: none; // override Bootstrap\n}\n","// Consistent styling for links\n// ============================\n\n@use \"sass:string\";\n\n// Define some useful variables for links styling consistency\n\n// The default thickness of the underline for links will be either:\n//  - 1px\n//  - 0.0625rem if it's thicker than 1px because the user has changed the text\n//    size in their browser\n$link-underline-thickness: string.unquote(\"max(1px, .0625rem)\") !default;\n\n// Offset of link underlines from text baseline\n// The default is 3px expressed as ems, as calculated against the default body\n// font size (on desktop).\n$link-underline-offset: 0.1578em !default;\n\n// Thickness of link underlines in hover state\n// The default for each link will be the thickest of the following:\n//  - 3px\n//  - 0.1875rem, if it's thicker than 3px because the user has changed the text\n//    size in their browser\n//  - 0.12em (relative to the link's text size)\n$link-hover-decoration-thickness: string.unquote(\n  \"max(3px, .1875rem, .12em)\"\n) !default;\n\n// Ensures links have an underline decoration by default - needed to meet\n// WCAG SC 1.4.1\n@mixin link-decoration {\n  text-decoration: underline;\n\n  @if $link-underline-thickness {\n    text-decoration-thickness: $link-underline-thickness;\n  }\n\n  @if $link-underline-offset {\n    text-underline-offset: $link-underline-offset;\n  }\n}\n\n// Ensures links have an underline decoration on hover - distinct from the\n// default behaviour\n@mixin link-decoration-hover {\n  @if $link-hover-decoration-thickness {\n    text-decoration-thickness: $link-hover-decoration-thickness;\n\n    // Disable ink skipping on underlines on hover.\n    text-decoration-skip-ink: none;\n  }\n}\n\n// Simple hover style - can be used alone or in conjunction with other mixins\n// Add the text underline and change in thickness on hover.\n// Intended for use with the `:hover` pseudo-class.\n@mixin link-style-hover {\n  @include link-decoration;\n  @include link-decoration-hover;\n\n  color: var(--pst-color-link-hover);\n}\n\n// Default link styles\n// -------------------\n// Defines: default unvisited, visited, hover, and active.\n// TODO: @trallard to improve focus styles in subsequent PR\n@mixin link-style-default {\n  // So that really long links don't spill out of their container\n  word-wrap: break-word;\n  color: var(--pst-color-link);\n\n  @include link-decoration;\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n\n    @include link-decoration-hover;\n  }\n\n  // TODO: @trallard to add active styles in subsequent PR\n  &:active {\n    color: var(--pst-color-link);\n  }\n\n  // Visited should still be hoverable\n  &:visited {\n    color: var(--pst-color-link);\n\n    &:hover {\n      color: var(--pst-color-link-hover);\n    }\n  }\n}\n\n// Text link styles\n// ----------------\n// Makes links use the muted text colour and removes the underline.\n// Use this mixin for navigation bar links.\n@mixin link-style-text {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n\n    @include link-decoration;\n    @include link-decoration-hover;\n  }\n}\n\n// Sidebar and TOC links\n// ---------------------\n// Makes links use the muted text colour and removes the underline.\n// Use this mixin for navigation the primary sidebar and table of contents.\n// Active and hover should work together rather than one overriding the other.\n@mixin link-sidebar {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n\n  &:hover {\n    text-decoration: underline;\n    background-color: transparent;\n    color: var(--pst-color-link-hover);\n\n    @include link-decoration-hover;\n  }\n\n  // TODO: @trallard to update active styles in subsequent PR\n  &:active {\n    color: var(--pst-color-link-hover);\n  }\n\n  &:focus-visible {\n    box-shadow: $focus-ring-box-shadow;\n    outline: none;\n    z-index: 10; // keep focus ring on top (prevent the link-sidebar-current notch from lying on top of the ring)\n  }\n}\n\n// Sidebar current page link styles\n// --------------------------------\n// Adds a vertical line on the left hand side of the link to indicate that\n// it's the current page. Note this is distinct from an active state.\n// Used on the primary sidebar and the TOC.\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin link-sidebar-current {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n\n  @if $link-hover-decoration-thickness {\n    $notch-shadow: inset\n      $link-hover-decoration-thickness\n      0\n      0\n      var(--pst-color-primary);\n\n    box-shadow: $notch-shadow;\n\n    &:focus-visible {\n      box-shadow: $notch-shadow, $focus-ring-box-shadow;\n      outline: none;\n    }\n  }\n}\n\n// Heaver navbar text and icon links\n// ---------------------------------\n// (includes light/dark mode button)\n\n// This mixin makes it possible to show hover/underline and focus/ring styles at\n// the same time. The trick is to use:\n//    - a pseudo-element with bottom border for the hover underline\n//    - a CSS outline for the focus ring.\n\n// Normally we use box-shadow for underline and outline for focus ring. But we\n// cannot apply box-shadow and outline together on the same element because the\n// border-radius value that we use to round the outline will also round the\n// box-shadow used for the underline. We also cannot use text-underline because\n// it does not work on non-text links, nor do we want to use it on text links\n// that we want to treat as blocks, such as the header nav links because the\n// underline will wrap across two lines if the link text also wraps across two\n// lines.\n@mixin link-style-block {\n  color: var(--pst-color-text-muted);\n\n  // Set position relative so that the child ::before pseudo-element's absolute\n  // position is relative to this element.\n  position: relative;\n\n  // Set up pseudo-element used for hover underline styles\n  &::before {\n    content: \"\";\n    display: block;\n    position: absolute;\n    inset: 0;\n    background-color: transparent;\n\n    @if $link-hover-decoration-thickness {\n      bottom: calc(-1 * $link-hover-decoration-thickness);\n      margin: $link-hover-decoration-thickness 0;\n    }\n  }\n\n  &:hover {\n    color: var(--pst-color-secondary);\n    text-decoration: none; // override the link-style-hover mixin\n    &::before {\n      @if $link-hover-decoration-thickness {\n        border-bottom: $link-hover-decoration-thickness\n          solid\n          var(--pst-color-secondary);\n      }\n    }\n  }\n\n  &:focus-visible {\n    box-shadow: none; // override Bootstrap\n    outline: 3px solid var(--pst-color-accent);\n    outline-offset: 3px;\n  }\n}\n","// Variables\n//\n// Variables should follow the `$component-state-property-size` formula for\n// consistent naming. Ex: $nav-link-disabled-color and $modal-content-box-shadow-xs.\n\n// Color system\n\n// scss-docs-start gray-color-variables\n$white:    #fff !default;\n$gray-100: #f8f9fa !default;\n$gray-200: #e9ecef !default;\n$gray-300: #dee2e6 !default;\n$gray-400: #ced4da !default;\n$gray-500: #adb5bd !default;\n$gray-600: #6c757d !default;\n$gray-700: #495057 !default;\n$gray-800: #343a40 !default;\n$gray-900: #212529 !default;\n$black:    #000 !default;\n// scss-docs-end gray-color-variables\n\n// fusv-disable\n// scss-docs-start gray-colors-map\n$grays: (\n  \"100\": $gray-100,\n  \"200\": $gray-200,\n  \"300\": $gray-300,\n  \"400\": $gray-400,\n  \"500\": $gray-500,\n  \"600\": $gray-600,\n  \"700\": $gray-700,\n  \"800\": $gray-800,\n  \"900\": $gray-900\n) !default;\n// scss-docs-end gray-colors-map\n// fusv-enable\n\n// scss-docs-start color-variables\n$blue:    #0d6efd !default;\n$indigo:  #6610f2 !default;\n$purple:  #6f42c1 !default;\n$pink:    #d63384 !default;\n$red:     #dc3545 !default;\n$orange:  #fd7e14 !default;\n$yellow:  #ffc107 !default;\n$green:   #198754 !default;\n$teal:    #20c997 !default;\n$cyan:    #0dcaf0 !default;\n// scss-docs-end color-variables\n\n// scss-docs-start colors-map\n$colors: (\n  \"blue\":       $blue,\n  \"indigo\":     $indigo,\n  \"purple\":     $purple,\n  \"pink\":       $pink,\n  \"red\":        $red,\n  \"orange\":     $orange,\n  \"yellow\":     $yellow,\n  \"green\":      $green,\n  \"teal\":       $teal,\n  \"cyan\":       $cyan,\n  \"black\":      $black,\n  \"white\":      $white,\n  \"gray\":       $gray-600,\n  \"gray-dark\":  $gray-800\n) !default;\n// scss-docs-end colors-map\n\n// The contrast ratio to reach against white, to determine if color changes from \"light\" to \"dark\". Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n$min-contrast-ratio:   4.5 !default;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$color-contrast-dark:      $black !default;\n$color-contrast-light:     $white !default;\n\n// fusv-disable\n$blue-100: tint-color($blue, 80%) !default;\n$blue-200: tint-color($blue, 60%) !default;\n$blue-300: tint-color($blue, 40%) !default;\n$blue-400: tint-color($blue, 20%) !default;\n$blue-500: $blue !default;\n$blue-600: shade-color($blue, 20%) !default;\n$blue-700: shade-color($blue, 40%) !default;\n$blue-800: shade-color($blue, 60%) !default;\n$blue-900: shade-color($blue, 80%) !default;\n\n$indigo-100: tint-color($indigo, 80%) !default;\n$indigo-200: tint-color($indigo, 60%) !default;\n$indigo-300: tint-color($indigo, 40%) !default;\n$indigo-400: tint-color($indigo, 20%) !default;\n$indigo-500: $indigo !default;\n$indigo-600: shade-color($indigo, 20%) !default;\n$indigo-700: shade-color($indigo, 40%) !default;\n$indigo-800: shade-color($indigo, 60%) !default;\n$indigo-900: shade-color($indigo, 80%) !default;\n\n$purple-100: tint-color($purple, 80%) !default;\n$purple-200: tint-color($purple, 60%) !default;\n$purple-300: tint-color($purple, 40%) !default;\n$purple-400: tint-color($purple, 20%) !default;\n$purple-500: $purple !default;\n$purple-600: shade-color($purple, 20%) !default;\n$purple-700: shade-color($purple, 40%) !default;\n$purple-800: shade-color($purple, 60%) !default;\n$purple-900: shade-color($purple, 80%) !default;\n\n$pink-100: tint-color($pink, 80%) !default;\n$pink-200: tint-color($pink, 60%) !default;\n$pink-300: tint-color($pink, 40%) !default;\n$pink-400: tint-color($pink, 20%) !default;\n$pink-500: $pink !default;\n$pink-600: shade-color($pink, 20%) !default;\n$pink-700: shade-color($pink, 40%) !default;\n$pink-800: shade-color($pink, 60%) !default;\n$pink-900: shade-color($pink, 80%) !default;\n\n$red-100: tint-color($red, 80%) !default;\n$red-200: tint-color($red, 60%) !default;\n$red-300: tint-color($red, 40%) !default;\n$red-400: tint-color($red, 20%) !default;\n$red-500: $red !default;\n$red-600: shade-color($red, 20%) !default;\n$red-700: shade-color($red, 40%) !default;\n$red-800: shade-color($red, 60%) !default;\n$red-900: shade-color($red, 80%) !default;\n\n$orange-100: tint-color($orange, 80%) !default;\n$orange-200: tint-color($orange, 60%) !default;\n$orange-300: tint-color($orange, 40%) !default;\n$orange-400: tint-color($orange, 20%) !default;\n$orange-500: $orange !default;\n$orange-600: shade-color($orange, 20%) !default;\n$orange-700: shade-color($orange, 40%) !default;\n$orange-800: shade-color($orange, 60%) !default;\n$orange-900: shade-color($orange, 80%) !default;\n\n$yellow-100: tint-color($yellow, 80%) !default;\n$yellow-200: tint-color($yellow, 60%) !default;\n$yellow-300: tint-color($yellow, 40%) !default;\n$yellow-400: tint-color($yellow, 20%) !default;\n$yellow-500: $yellow !default;\n$yellow-600: shade-color($yellow, 20%) !default;\n$yellow-700: shade-color($yellow, 40%) !default;\n$yellow-800: shade-color($yellow, 60%) !default;\n$yellow-900: shade-color($yellow, 80%) !default;\n\n$green-100: tint-color($green, 80%) !default;\n$green-200: tint-color($green, 60%) !default;\n$green-300: tint-color($green, 40%) !default;\n$green-400: tint-color($green, 20%) !default;\n$green-500: $green !default;\n$green-600: shade-color($green, 20%) !default;\n$green-700: shade-color($green, 40%) !default;\n$green-800: shade-color($green, 60%) !default;\n$green-900: shade-color($green, 80%) !default;\n\n$teal-100: tint-color($teal, 80%) !default;\n$teal-200: tint-color($teal, 60%) !default;\n$teal-300: tint-color($teal, 40%) !default;\n$teal-400: tint-color($teal, 20%) !default;\n$teal-500: $teal !default;\n$teal-600: shade-color($teal, 20%) !default;\n$teal-700: shade-color($teal, 40%) !default;\n$teal-800: shade-color($teal, 60%) !default;\n$teal-900: shade-color($teal, 80%) !default;\n\n$cyan-100: tint-color($cyan, 80%) !default;\n$cyan-200: tint-color($cyan, 60%) !default;\n$cyan-300: tint-color($cyan, 40%) !default;\n$cyan-400: tint-color($cyan, 20%) !default;\n$cyan-500: $cyan !default;\n$cyan-600: shade-color($cyan, 20%) !default;\n$cyan-700: shade-color($cyan, 40%) !default;\n$cyan-800: shade-color($cyan, 60%) !default;\n$cyan-900: shade-color($cyan, 80%) !default;\n\n$blues: (\n  \"blue-100\": $blue-100,\n  \"blue-200\": $blue-200,\n  \"blue-300\": $blue-300,\n  \"blue-400\": $blue-400,\n  \"blue-500\": $blue-500,\n  \"blue-600\": $blue-600,\n  \"blue-700\": $blue-700,\n  \"blue-800\": $blue-800,\n  \"blue-900\": $blue-900\n) !default;\n\n$indigos: (\n  \"indigo-100\": $indigo-100,\n  \"indigo-200\": $indigo-200,\n  \"indigo-300\": $indigo-300,\n  \"indigo-400\": $indigo-400,\n  \"indigo-500\": $indigo-500,\n  \"indigo-600\": $indigo-600,\n  \"indigo-700\": $indigo-700,\n  \"indigo-800\": $indigo-800,\n  \"indigo-900\": $indigo-900\n) !default;\n\n$purples: (\n  \"purple-100\": $purple-100,\n  \"purple-200\": $purple-200,\n  \"purple-300\": $purple-300,\n  \"purple-400\": $purple-400,\n  \"purple-500\": $purple-500,\n  \"purple-600\": $purple-600,\n  \"purple-700\": $purple-700,\n  \"purple-800\": $purple-800,\n  \"purple-900\": $purple-900\n) !default;\n\n$pinks: (\n  \"pink-100\": $pink-100,\n  \"pink-200\": $pink-200,\n  \"pink-300\": $pink-300,\n  \"pink-400\": $pink-400,\n  \"pink-500\": $pink-500,\n  \"pink-600\": $pink-600,\n  \"pink-700\": $pink-700,\n  \"pink-800\": $pink-800,\n  \"pink-900\": $pink-900\n) !default;\n\n$reds: (\n  \"red-100\": $red-100,\n  \"red-200\": $red-200,\n  \"red-300\": $red-300,\n  \"red-400\": $red-400,\n  \"red-500\": $red-500,\n  \"red-600\": $red-600,\n  \"red-700\": $red-700,\n  \"red-800\": $red-800,\n  \"red-900\": $red-900\n) !default;\n\n$oranges: (\n  \"orange-100\": $orange-100,\n  \"orange-200\": $orange-200,\n  \"orange-300\": $orange-300,\n  \"orange-400\": $orange-400,\n  \"orange-500\": $orange-500,\n  \"orange-600\": $orange-600,\n  \"orange-700\": $orange-700,\n  \"orange-800\": $orange-800,\n  \"orange-900\": $orange-900\n) !default;\n\n$yellows: (\n  \"yellow-100\": $yellow-100,\n  \"yellow-200\": $yellow-200,\n  \"yellow-300\": $yellow-300,\n  \"yellow-400\": $yellow-400,\n  \"yellow-500\": $yellow-500,\n  \"yellow-600\": $yellow-600,\n  \"yellow-700\": $yellow-700,\n  \"yellow-800\": $yellow-800,\n  \"yellow-900\": $yellow-900\n) !default;\n\n$greens: (\n  \"green-100\": $green-100,\n  \"green-200\": $green-200,\n  \"green-300\": $green-300,\n  \"green-400\": $green-400,\n  \"green-500\": $green-500,\n  \"green-600\": $green-600,\n  \"green-700\": $green-700,\n  \"green-800\": $green-800,\n  \"green-900\": $green-900\n) !default;\n\n$teals: (\n  \"teal-100\": $teal-100,\n  \"teal-200\": $teal-200,\n  \"teal-300\": $teal-300,\n  \"teal-400\": $teal-400,\n  \"teal-500\": $teal-500,\n  \"teal-600\": $teal-600,\n  \"teal-700\": $teal-700,\n  \"teal-800\": $teal-800,\n  \"teal-900\": $teal-900\n) !default;\n\n$cyans: (\n  \"cyan-100\": $cyan-100,\n  \"cyan-200\": $cyan-200,\n  \"cyan-300\": $cyan-300,\n  \"cyan-400\": $cyan-400,\n  \"cyan-500\": $cyan-500,\n  \"cyan-600\": $cyan-600,\n  \"cyan-700\": $cyan-700,\n  \"cyan-800\": $cyan-800,\n  \"cyan-900\": $cyan-900\n) !default;\n// fusv-enable\n\n// scss-docs-start theme-color-variables\n$primary:       $blue !default;\n$secondary:     $gray-600 !default;\n$success:       $green !default;\n$info:          $cyan !default;\n$warning:       $yellow !default;\n$danger:        $red !default;\n$light:         $gray-100 !default;\n$dark:          $gray-900 !default;\n// scss-docs-end theme-color-variables\n\n// scss-docs-start theme-colors-map\n$theme-colors: (\n  \"primary\":    $primary,\n  \"secondary\":  $secondary,\n  \"success\":    $success,\n  \"info\":       $info,\n  \"warning\":    $warning,\n  \"danger\":     $danger,\n  \"light\":      $light,\n  \"dark\":       $dark\n) !default;\n// scss-docs-end theme-colors-map\n\n// scss-docs-start theme-text-variables\n$primary-text-emphasis:   shade-color($primary, 60%) !default;\n$secondary-text-emphasis: shade-color($secondary, 60%) !default;\n$success-text-emphasis:   shade-color($success, 60%) !default;\n$info-text-emphasis:      shade-color($info, 60%) !default;\n$warning-text-emphasis:   shade-color($warning, 60%) !default;\n$danger-text-emphasis:    shade-color($danger, 60%) !default;\n$light-text-emphasis:     $gray-700 !default;\n$dark-text-emphasis:      $gray-700 !default;\n// scss-docs-end theme-text-variables\n\n// scss-docs-start theme-bg-subtle-variables\n$primary-bg-subtle:       tint-color($primary, 80%) !default;\n$secondary-bg-subtle:     tint-color($secondary, 80%) !default;\n$success-bg-subtle:       tint-color($success, 80%) !default;\n$info-bg-subtle:          tint-color($info, 80%) !default;\n$warning-bg-subtle:       tint-color($warning, 80%) !default;\n$danger-bg-subtle:        tint-color($danger, 80%) !default;\n$light-bg-subtle:         mix($gray-100, $white) !default;\n$dark-bg-subtle:          $gray-400 !default;\n// scss-docs-end theme-bg-subtle-variables\n\n// scss-docs-start theme-border-subtle-variables\n$primary-border-subtle:   tint-color($primary, 60%) !default;\n$secondary-border-subtle: tint-color($secondary, 60%) !default;\n$success-border-subtle:   tint-color($success, 60%) !default;\n$info-border-subtle:      tint-color($info, 60%) !default;\n$warning-border-subtle:   tint-color($warning, 60%) !default;\n$danger-border-subtle:    tint-color($danger, 60%) !default;\n$light-border-subtle:     $gray-200 !default;\n$dark-border-subtle:      $gray-500 !default;\n// scss-docs-end theme-border-subtle-variables\n\n// Characters which are escaped by the escape-svg function\n$escaped-characters: (\n  (\"<\", \"%3c\"),\n  (\">\", \"%3e\"),\n  (\"#\", \"%23\"),\n  (\"(\", \"%28\"),\n  (\")\", \"%29\"),\n) !default;\n\n// Options\n//\n// Quickly modify global styling by enabling or disabling optional features.\n\n$enable-caret:                true !default;\n$enable-rounded:              true !default;\n$enable-shadows:              false !default;\n$enable-gradients:            false !default;\n$enable-transitions:          true !default;\n$enable-reduced-motion:       true !default;\n$enable-smooth-scroll:        true !default;\n$enable-grid-classes:         true !default;\n$enable-container-classes:    true !default;\n$enable-cssgrid:              false !default;\n$enable-button-pointers:      true !default;\n$enable-rfs:                  true !default;\n$enable-validation-icons:     true !default;\n$enable-negative-margins:     false !default;\n$enable-deprecation-messages: true !default;\n$enable-important-utilities:  true !default;\n\n$enable-dark-mode:            true !default;\n$color-mode-type:             data !default; // `data` or `media-query`\n\n// Prefix for :root CSS variables\n\n$variable-prefix:             bs- !default; // Deprecated in v5.2.0 for the shorter `$prefix`\n$prefix:                      $variable-prefix !default;\n\n// Gradient\n//\n// The gradient which is added to components if `$enable-gradients` is `true`\n// This gradient is also added to elements with `.bg-gradient`\n// scss-docs-start variable-gradient\n$gradient: linear-gradient(180deg, rgba($white, .15), rgba($white, 0)) !default;\n// scss-docs-end variable-gradient\n\n// Spacing\n//\n// Control the default styling of most Bootstrap elements by modifying these\n// variables. Mostly focused on spacing.\n// You can add more entries to the $spacers map, should you need more variation.\n\n// scss-docs-start spacer-variables-maps\n$spacer: 1rem !default;\n$spacers: (\n  0: 0,\n  1: $spacer * .25,\n  2: $spacer * .5,\n  3: $spacer,\n  4: $spacer * 1.5,\n  5: $spacer * 3,\n) !default;\n// scss-docs-end spacer-variables-maps\n\n// Position\n//\n// Define the edge positioning anchors of the position utilities.\n\n// scss-docs-start position-map\n$position-values: (\n  0: 0,\n  50: 50%,\n  100: 100%\n) !default;\n// scss-docs-end position-map\n\n// Body\n//\n// Settings for the `<body>` element.\n\n$body-text-align:           null !default;\n$body-color:                $gray-900 !default;\n$body-bg:                   $white !default;\n\n$body-secondary-color:      rgba($body-color, .75) !default;\n$body-secondary-bg:         $gray-200 !default;\n\n$body-tertiary-color:       rgba($body-color, .5) !default;\n$body-tertiary-bg:          $gray-100 !default;\n\n$body-emphasis-color:       $black !default;\n\n// Links\n//\n// Style anchor elements.\n\n$link-color:                              $primary !default;\n$link-decoration:                         underline !default;\n$link-shade-percentage:                   20% !default;\n$link-hover-color:                        shift-color($link-color, $link-shade-percentage) !default;\n$link-hover-decoration:                   null !default;\n\n$stretched-link-pseudo-element:           after !default;\n$stretched-link-z-index:                  1 !default;\n\n// Icon links\n// scss-docs-start icon-link-variables\n$icon-link-gap:               .375rem !default;\n$icon-link-underline-offset:  .25em !default;\n$icon-link-icon-size:         1em !default;\n$icon-link-icon-transition:   .2s ease-in-out transform !default;\n$icon-link-icon-transform:    translate3d(.25em, 0, 0) !default;\n// scss-docs-end icon-link-variables\n\n// Paragraphs\n//\n// Style p element.\n\n$paragraph-margin-bottom:   1rem !default;\n\n\n// Grid breakpoints\n//\n// Define the minimum dimensions at which your layout will change,\n// adapting to different screen sizes, for use in media queries.\n\n// scss-docs-start grid-breakpoints\n$grid-breakpoints: (\n  xs: 0,\n  sm: 576px,\n  md: 768px,\n  lg: 992px,\n  xl: 1200px,\n  xxl: 1400px\n) !default;\n// scss-docs-end grid-breakpoints\n\n@include _assert-ascending($grid-breakpoints, \"$grid-breakpoints\");\n@include _assert-starts-at-zero($grid-breakpoints, \"$grid-breakpoints\");\n\n\n// Grid containers\n//\n// Define the maximum width of `.container` for different screen sizes.\n\n// scss-docs-start container-max-widths\n$container-max-widths: (\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1140px,\n  xxl: 1320px\n) !default;\n// scss-docs-end container-max-widths\n\n@include _assert-ascending($container-max-widths, \"$container-max-widths\");\n\n\n// Grid columns\n//\n// Set the number of columns and specify the width of the gutters.\n\n$grid-columns:                12 !default;\n$grid-gutter-width:           1.5rem !default;\n$grid-row-columns:            6 !default;\n\n// Container padding\n\n$container-padding-x: $grid-gutter-width !default;\n\n\n// Components\n//\n// Define common padding and border radius sizes and more.\n\n// scss-docs-start border-variables\n$border-width:                1px !default;\n$border-widths: (\n  1: 1px,\n  2: 2px,\n  3: 3px,\n  4: 4px,\n  5: 5px\n) !default;\n$border-style:                solid !default;\n$border-color:                $gray-300 !default;\n$border-color-translucent:    rgba($black, .175) !default;\n// scss-docs-end border-variables\n\n// scss-docs-start border-radius-variables\n$border-radius:               .375rem !default;\n$border-radius-sm:            .25rem !default;\n$border-radius-lg:            .5rem !default;\n$border-radius-xl:            1rem !default;\n$border-radius-xxl:           2rem !default;\n$border-radius-pill:          50rem !default;\n// scss-docs-end border-radius-variables\n// fusv-disable\n$border-radius-2xl:           $border-radius-xxl !default; // Deprecated in v5.3.0\n// fusv-enable\n\n// scss-docs-start box-shadow-variables\n$box-shadow:                  0 .5rem 1rem rgba($black, .15) !default;\n$box-shadow-sm:               0 .125rem .25rem rgba($black, .075) !default;\n$box-shadow-lg:               0 1rem 3rem rgba($black, .175) !default;\n$box-shadow-inset:            inset 0 1px 2px rgba($black, .075) !default;\n// scss-docs-end box-shadow-variables\n\n$component-active-color:      $white !default;\n$component-active-bg:         $primary !default;\n\n// scss-docs-start focus-ring-variables\n$focus-ring-width:      .25rem !default;\n$focus-ring-opacity:    .25 !default;\n$focus-ring-color:      rgba($primary, $focus-ring-opacity) !default;\n$focus-ring-blur:       0 !default;\n$focus-ring-box-shadow: 0 0 $focus-ring-blur $focus-ring-width $focus-ring-color !default;\n// scss-docs-end focus-ring-variables\n\n// scss-docs-start caret-variables\n$caret-width:                 .3em !default;\n$caret-vertical-align:        $caret-width * .85 !default;\n$caret-spacing:               $caret-width * .85 !default;\n// scss-docs-end caret-variables\n\n$transition-base:             all .2s ease-in-out !default;\n$transition-fade:             opacity .15s linear !default;\n// scss-docs-start collapse-transition\n$transition-collapse:         height .35s ease !default;\n$transition-collapse-width:   width .35s ease !default;\n// scss-docs-end collapse-transition\n\n// stylelint-disable function-disallowed-list\n// scss-docs-start aspect-ratios\n$aspect-ratios: (\n  \"1x1\": 100%,\n  \"4x3\": calc(3 / 4 * 100%),\n  \"16x9\": calc(9 / 16 * 100%),\n  \"21x9\": calc(9 / 21 * 100%)\n) !default;\n// scss-docs-end aspect-ratios\n// stylelint-enable function-disallowed-list\n\n// Typography\n//\n// Font, line-height, and color for body text, headings, and more.\n\n// scss-docs-start font-variables\n// stylelint-disable value-keyword-case\n$font-family-sans-serif:      system-ui, -apple-system, \"Segoe UI\", Roboto, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\" !default;\n$font-family-monospace:       SFMono-Regular, Menlo, Monaco, Consolas, \"Liberation Mono\", \"Courier New\", monospace !default;\n// stylelint-enable value-keyword-case\n$font-family-base:            var(--#{$prefix}font-sans-serif) !default;\n$font-family-code:            var(--#{$prefix}font-monospace) !default;\n\n// $font-size-root affects the value of `rem`, which is used for as well font sizes, paddings, and margins\n// $font-size-base affects the font size of the body text\n$font-size-root:              null !default;\n$font-size-base:              1rem !default; // Assumes the browser default, typically `16px`\n$font-size-sm:                $font-size-base * .875 !default;\n$font-size-lg:                $font-size-base * 1.25 !default;\n\n$font-weight-lighter:         lighter !default;\n$font-weight-light:           300 !default;\n$font-weight-normal:          400 !default;\n$font-weight-medium:          500 !default;\n$font-weight-semibold:        600 !default;\n$font-weight-bold:            700 !default;\n$font-weight-bolder:          bolder !default;\n\n$font-weight-base:            $font-weight-normal !default;\n\n$line-height-base:            1.5 !default;\n$line-height-sm:              1.25 !default;\n$line-height-lg:              2 !default;\n\n$h1-font-size:                $font-size-base * 2.5 !default;\n$h2-font-size:                $font-size-base * 2 !default;\n$h3-font-size:                $font-size-base * 1.75 !default;\n$h4-font-size:                $font-size-base * 1.5 !default;\n$h5-font-size:                $font-size-base * 1.25 !default;\n$h6-font-size:                $font-size-base !default;\n// scss-docs-end font-variables\n\n// scss-docs-start font-sizes\n$font-sizes: (\n  1: $h1-font-size,\n  2: $h2-font-size,\n  3: $h3-font-size,\n  4: $h4-font-size,\n  5: $h5-font-size,\n  6: $h6-font-size\n) !default;\n// scss-docs-end font-sizes\n\n// scss-docs-start headings-variables\n$headings-margin-bottom:      $spacer * .5 !default;\n$headings-font-family:        null !default;\n$headings-font-style:         null !default;\n$headings-font-weight:        500 !default;\n$headings-line-height:        1.2 !default;\n$headings-color:              inherit !default;\n// scss-docs-end headings-variables\n\n// scss-docs-start display-headings\n$display-font-sizes: (\n  1: 5rem,\n  2: 4.5rem,\n  3: 4rem,\n  4: 3.5rem,\n  5: 3rem,\n  6: 2.5rem\n) !default;\n\n$display-font-family: null !default;\n$display-font-style:  null !default;\n$display-font-weight: 300 !default;\n$display-line-height: $headings-line-height !default;\n// scss-docs-end display-headings\n\n// scss-docs-start type-variables\n$lead-font-size:              $font-size-base * 1.25 !default;\n$lead-font-weight:            300 !default;\n\n$small-font-size:             .875em !default;\n\n$sub-sup-font-size:           .75em !default;\n\n// fusv-disable\n$text-muted:                  var(--#{$prefix}secondary-color) !default; // Deprecated in 5.3.0\n// fusv-enable\n\n$initialism-font-size:        $small-font-size !default;\n\n$blockquote-margin-y:         $spacer !default;\n$blockquote-font-size:        $font-size-base * 1.25 !default;\n$blockquote-footer-color:     $gray-600 !default;\n$blockquote-footer-font-size: $small-font-size !default;\n\n$hr-margin-y:                 $spacer !default;\n$hr-color:                    inherit !default;\n\n// fusv-disable\n$hr-bg-color:                 null !default; // Deprecated in v5.2.0\n$hr-height:                   null !default; // Deprecated in v5.2.0\n// fusv-enable\n\n$hr-border-color:             null !default; // Allows for inherited colors\n$hr-border-width:             var(--#{$prefix}border-width) !default;\n$hr-opacity:                  .25 !default;\n\n// scss-docs-start vr-variables\n$vr-border-width:             var(--#{$prefix}border-width) !default;\n// scss-docs-end vr-variables\n\n$legend-margin-bottom:        .5rem !default;\n$legend-font-size:            1.5rem !default;\n$legend-font-weight:          null !default;\n\n$dt-font-weight:              $font-weight-bold !default;\n\n$list-inline-padding:         .5rem !default;\n\n$mark-padding:                .1875em !default;\n$mark-color:                  $body-color !default;\n$mark-bg:                     $yellow-100 !default;\n// scss-docs-end type-variables\n\n\n// Tables\n//\n// Customizes the `.table` component with basic values, each used across all table variations.\n\n// scss-docs-start table-variables\n$table-cell-padding-y:        .5rem !default;\n$table-cell-padding-x:        .5rem !default;\n$table-cell-padding-y-sm:     .25rem !default;\n$table-cell-padding-x-sm:     .25rem !default;\n\n$table-cell-vertical-align:   top !default;\n\n$table-color:                 var(--#{$prefix}emphasis-color) !default;\n$table-bg:                    var(--#{$prefix}body-bg) !default;\n$table-accent-bg:             transparent !default;\n\n$table-th-font-weight:        null !default;\n\n$table-striped-color:         $table-color !default;\n$table-striped-bg-factor:     .05 !default;\n$table-striped-bg:            rgba(var(--#{$prefix}emphasis-color-rgb), $table-striped-bg-factor) !default;\n\n$table-active-color:          $table-color !default;\n$table-active-bg-factor:      .1 !default;\n$table-active-bg:             rgba(var(--#{$prefix}emphasis-color-rgb), $table-active-bg-factor) !default;\n\n$table-hover-color:           $table-color !default;\n$table-hover-bg-factor:       .075 !default;\n$table-hover-bg:              rgba(var(--#{$prefix}emphasis-color-rgb), $table-hover-bg-factor) !default;\n\n$table-border-factor:         .2 !default;\n$table-border-width:          var(--#{$prefix}border-width) !default;\n$table-border-color:          var(--#{$prefix}border-color) !default;\n\n$table-striped-order:         odd !default;\n$table-striped-columns-order: even !default;\n\n$table-group-separator-color: currentcolor !default;\n\n$table-caption-color:         var(--#{$prefix}secondary-color) !default;\n\n$table-bg-scale:              -80% !default;\n// scss-docs-end table-variables\n\n// scss-docs-start table-loop\n$table-variants: (\n  \"primary\":    shift-color($primary, $table-bg-scale),\n  \"secondary\":  shift-color($secondary, $table-bg-scale),\n  \"success\":    shift-color($success, $table-bg-scale),\n  \"info\":       shift-color($info, $table-bg-scale),\n  \"warning\":    shift-color($warning, $table-bg-scale),\n  \"danger\":     shift-color($danger, $table-bg-scale),\n  \"light\":      $light,\n  \"dark\":       $dark,\n) !default;\n// scss-docs-end table-loop\n\n\n// Buttons + Forms\n//\n// Shared variables that are reassigned to `$input-` and `$btn-` specific variables.\n\n// scss-docs-start input-btn-variables\n$input-btn-padding-y:         .375rem !default;\n$input-btn-padding-x:         .75rem !default;\n$input-btn-font-family:       null !default;\n$input-btn-font-size:         $font-size-base !default;\n$input-btn-line-height:       $line-height-base !default;\n\n$input-btn-focus-width:         $focus-ring-width !default;\n$input-btn-focus-color-opacity: $focus-ring-opacity !default;\n$input-btn-focus-color:         $focus-ring-color !default;\n$input-btn-focus-blur:          $focus-ring-blur !default;\n$input-btn-focus-box-shadow:    $focus-ring-box-shadow !default;\n\n$input-btn-padding-y-sm:      .25rem !default;\n$input-btn-padding-x-sm:      .5rem !default;\n$input-btn-font-size-sm:      $font-size-sm !default;\n\n$input-btn-padding-y-lg:      .5rem !default;\n$input-btn-padding-x-lg:      1rem !default;\n$input-btn-font-size-lg:      $font-size-lg !default;\n\n$input-btn-border-width:      var(--#{$prefix}border-width) !default;\n// scss-docs-end input-btn-variables\n\n\n// Buttons\n//\n// For each of Bootstrap's buttons, define text, background, and border color.\n\n// scss-docs-start btn-variables\n$btn-color:                   var(--#{$prefix}body-color) !default;\n$btn-padding-y:               $input-btn-padding-y !default;\n$btn-padding-x:               $input-btn-padding-x !default;\n$btn-font-family:             $input-btn-font-family !default;\n$btn-font-size:               $input-btn-font-size !default;\n$btn-line-height:             $input-btn-line-height !default;\n$btn-white-space:             null !default; // Set to `nowrap` to prevent text wrapping\n\n$btn-padding-y-sm:            $input-btn-padding-y-sm !default;\n$btn-padding-x-sm:            $input-btn-padding-x-sm !default;\n$btn-font-size-sm:            $input-btn-font-size-sm !default;\n\n$btn-padding-y-lg:            $input-btn-padding-y-lg !default;\n$btn-padding-x-lg:            $input-btn-padding-x-lg !default;\n$btn-font-size-lg:            $input-btn-font-size-lg !default;\n\n$btn-border-width:            $input-btn-border-width !default;\n\n$btn-font-weight:             $font-weight-normal !default;\n$btn-box-shadow:              inset 0 1px 0 rgba($white, .15), 0 1px 1px rgba($black, .075) !default;\n$btn-focus-width:             $input-btn-focus-width !default;\n$btn-focus-box-shadow:        $input-btn-focus-box-shadow !default;\n$btn-disabled-opacity:        .65 !default;\n$btn-active-box-shadow:       inset 0 3px 5px rgba($black, .125) !default;\n\n$btn-link-color:              var(--#{$prefix}link-color) !default;\n$btn-link-hover-color:        var(--#{$prefix}link-hover-color) !default;\n$btn-link-disabled-color:     $gray-600 !default;\n$btn-link-focus-shadow-rgb:   to-rgb(mix(color-contrast($link-color), $link-color, 15%)) !default;\n\n// Allows for customizing button radius independently from global border radius\n$btn-border-radius:           var(--#{$prefix}border-radius) !default;\n$btn-border-radius-sm:        var(--#{$prefix}border-radius-sm) !default;\n$btn-border-radius-lg:        var(--#{$prefix}border-radius-lg) !default;\n\n$btn-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$btn-hover-bg-shade-amount:       15% !default;\n$btn-hover-bg-tint-amount:        15% !default;\n$btn-hover-border-shade-amount:   20% !default;\n$btn-hover-border-tint-amount:    10% !default;\n$btn-active-bg-shade-amount:      20% !default;\n$btn-active-bg-tint-amount:       20% !default;\n$btn-active-border-shade-amount:  25% !default;\n$btn-active-border-tint-amount:   10% !default;\n// scss-docs-end btn-variables\n\n\n// Forms\n\n// scss-docs-start form-text-variables\n$form-text-margin-top:                  .25rem !default;\n$form-text-font-size:                   $small-font-size !default;\n$form-text-font-style:                  null !default;\n$form-text-font-weight:                 null !default;\n$form-text-color:                       var(--#{$prefix}secondary-color) !default;\n// scss-docs-end form-text-variables\n\n// scss-docs-start form-label-variables\n$form-label-margin-bottom:              .5rem !default;\n$form-label-font-size:                  null !default;\n$form-label-font-style:                 null !default;\n$form-label-font-weight:                null !default;\n$form-label-color:                      null !default;\n// scss-docs-end form-label-variables\n\n// scss-docs-start form-input-variables\n$input-padding-y:                       $input-btn-padding-y !default;\n$input-padding-x:                       $input-btn-padding-x !default;\n$input-font-family:                     $input-btn-font-family !default;\n$input-font-size:                       $input-btn-font-size !default;\n$input-font-weight:                     $font-weight-base !default;\n$input-line-height:                     $input-btn-line-height !default;\n\n$input-padding-y-sm:                    $input-btn-padding-y-sm !default;\n$input-padding-x-sm:                    $input-btn-padding-x-sm !default;\n$input-font-size-sm:                    $input-btn-font-size-sm !default;\n\n$input-padding-y-lg:                    $input-btn-padding-y-lg !default;\n$input-padding-x-lg:                    $input-btn-padding-x-lg !default;\n$input-font-size-lg:                    $input-btn-font-size-lg !default;\n\n$input-bg:                              var(--#{$prefix}body-bg) !default;\n$input-disabled-color:                  null !default;\n$input-disabled-bg:                     var(--#{$prefix}secondary-bg) !default;\n$input-disabled-border-color:           null !default;\n\n$input-color:                           var(--#{$prefix}body-color) !default;\n$input-border-color:                    var(--#{$prefix}border-color) !default;\n$input-border-width:                    $input-btn-border-width !default;\n$input-box-shadow:                      var(--#{$prefix}box-shadow-inset) !default;\n\n$input-border-radius:                   var(--#{$prefix}border-radius) !default;\n$input-border-radius-sm:                var(--#{$prefix}border-radius-sm) !default;\n$input-border-radius-lg:                var(--#{$prefix}border-radius-lg) !default;\n\n$input-focus-bg:                        $input-bg !default;\n$input-focus-border-color:              tint-color($component-active-bg, 50%) !default;\n$input-focus-color:                     $input-color !default;\n$input-focus-width:                     $input-btn-focus-width !default;\n$input-focus-box-shadow:                $input-btn-focus-box-shadow !default;\n\n$input-placeholder-color:               var(--#{$prefix}secondary-color) !default;\n$input-plaintext-color:                 var(--#{$prefix}body-color) !default;\n\n$input-height-border:                   calc(#{$input-border-width} * 2) !default; // stylelint-disable-line function-disallowed-list\n\n$input-height-inner:                    add($input-line-height * 1em, $input-padding-y * 2) !default;\n$input-height-inner-half:               add($input-line-height * .5em, $input-padding-y) !default;\n$input-height-inner-quarter:            add($input-line-height * .25em, $input-padding-y * .5) !default;\n\n$input-height:                          add($input-line-height * 1em, add($input-padding-y * 2, $input-height-border, false)) !default;\n$input-height-sm:                       add($input-line-height * 1em, add($input-padding-y-sm * 2, $input-height-border, false)) !default;\n$input-height-lg:                       add($input-line-height * 1em, add($input-padding-y-lg * 2, $input-height-border, false)) !default;\n\n$input-transition:                      border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$form-color-width:                      3rem !default;\n// scss-docs-end form-input-variables\n\n// scss-docs-start form-check-variables\n$form-check-input-width:                  1em !default;\n$form-check-min-height:                   $font-size-base * $line-height-base !default;\n$form-check-padding-start:                $form-check-input-width + .5em !default;\n$form-check-margin-bottom:                .125rem !default;\n$form-check-label-color:                  null !default;\n$form-check-label-cursor:                 null !default;\n$form-check-transition:                   null !default;\n\n$form-check-input-active-filter:          brightness(90%) !default;\n\n$form-check-input-bg:                     $input-bg !default;\n$form-check-input-border:                 var(--#{$prefix}border-width) solid var(--#{$prefix}border-color) !default;\n$form-check-input-border-radius:          .25em !default;\n$form-check-radio-border-radius:          50% !default;\n$form-check-input-focus-border:           $input-focus-border-color !default;\n$form-check-input-focus-box-shadow:       $focus-ring-box-shadow !default;\n\n$form-check-input-checked-color:          $component-active-color !default;\n$form-check-input-checked-bg-color:       $component-active-bg !default;\n$form-check-input-checked-border-color:   $form-check-input-checked-bg-color !default;\n$form-check-input-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-checked-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='m6 10 3 3 6-6'/></svg>\") !default;\n$form-check-radio-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='2' fill='#{$form-check-input-checked-color}'/></svg>\") !default;\n\n$form-check-input-indeterminate-color:          $component-active-color !default;\n$form-check-input-indeterminate-bg-color:       $component-active-bg !default;\n$form-check-input-indeterminate-border-color:   $form-check-input-indeterminate-bg-color !default;\n$form-check-input-indeterminate-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-indeterminate-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='M6 10h8'/></svg>\") !default;\n\n$form-check-input-disabled-opacity:        .5 !default;\n$form-check-label-disabled-opacity:        $form-check-input-disabled-opacity !default;\n$form-check-btn-check-disabled-opacity:    $btn-disabled-opacity !default;\n\n$form-check-inline-margin-end:    1rem !default;\n// scss-docs-end form-check-variables\n\n// scss-docs-start form-switch-variables\n$form-switch-color:               rgba($black, .25) !default;\n$form-switch-width:               2em !default;\n$form-switch-padding-start:       $form-switch-width + .5em !default;\n$form-switch-bg-image:            url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-color}'/></svg>\") !default;\n$form-switch-border-radius:       $form-switch-width !default;\n$form-switch-transition:          background-position .15s ease-in-out !default;\n\n$form-switch-focus-color:         $input-focus-border-color !default;\n$form-switch-focus-bg-image:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-focus-color}'/></svg>\") !default;\n\n$form-switch-checked-color:       $component-active-color !default;\n$form-switch-checked-bg-image:    url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-checked-color}'/></svg>\") !default;\n$form-switch-checked-bg-position: right center !default;\n// scss-docs-end form-switch-variables\n\n// scss-docs-start input-group-variables\n$input-group-addon-padding-y:           $input-padding-y !default;\n$input-group-addon-padding-x:           $input-padding-x !default;\n$input-group-addon-font-weight:         $input-font-weight !default;\n$input-group-addon-color:               $input-color !default;\n$input-group-addon-bg:                  var(--#{$prefix}tertiary-bg) !default;\n$input-group-addon-border-color:        $input-border-color !default;\n// scss-docs-end input-group-variables\n\n// scss-docs-start form-select-variables\n$form-select-padding-y:             $input-padding-y !default;\n$form-select-padding-x:             $input-padding-x !default;\n$form-select-font-family:           $input-font-family !default;\n$form-select-font-size:             $input-font-size !default;\n$form-select-indicator-padding:     $form-select-padding-x * 3 !default; // Extra padding for background-image\n$form-select-font-weight:           $input-font-weight !default;\n$form-select-line-height:           $input-line-height !default;\n$form-select-color:                 $input-color !default;\n$form-select-bg:                    $input-bg !default;\n$form-select-disabled-color:        null !default;\n$form-select-disabled-bg:           $input-disabled-bg !default;\n$form-select-disabled-border-color: $input-disabled-border-color !default;\n$form-select-bg-position:           right $form-select-padding-x center !default;\n$form-select-bg-size:               16px 12px !default; // In pixels because image dimensions\n$form-select-indicator-color:       $gray-800 !default;\n$form-select-indicator:             url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'><path fill='none' stroke='#{$form-select-indicator-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/></svg>\") !default;\n\n$form-select-feedback-icon-padding-end: $form-select-padding-x * 2.5 + $form-select-indicator-padding !default;\n$form-select-feedback-icon-position:    center right $form-select-indicator-padding !default;\n$form-select-feedback-icon-size:        $input-height-inner-half $input-height-inner-half !default;\n\n$form-select-border-width:        $input-border-width !default;\n$form-select-border-color:        $input-border-color !default;\n$form-select-border-radius:       $input-border-radius !default;\n$form-select-box-shadow:          var(--#{$prefix}box-shadow-inset) !default;\n\n$form-select-focus-border-color:  $input-focus-border-color !default;\n$form-select-focus-width:         $input-focus-width !default;\n$form-select-focus-box-shadow:    0 0 0 $form-select-focus-width $input-btn-focus-color !default;\n\n$form-select-padding-y-sm:        $input-padding-y-sm !default;\n$form-select-padding-x-sm:        $input-padding-x-sm !default;\n$form-select-font-size-sm:        $input-font-size-sm !default;\n$form-select-border-radius-sm:    $input-border-radius-sm !default;\n\n$form-select-padding-y-lg:        $input-padding-y-lg !default;\n$form-select-padding-x-lg:        $input-padding-x-lg !default;\n$form-select-font-size-lg:        $input-font-size-lg !default;\n$form-select-border-radius-lg:    $input-border-radius-lg !default;\n\n$form-select-transition:          $input-transition !default;\n// scss-docs-end form-select-variables\n\n// scss-docs-start form-range-variables\n$form-range-track-width:          100% !default;\n$form-range-track-height:         .5rem !default;\n$form-range-track-cursor:         pointer !default;\n$form-range-track-bg:             var(--#{$prefix}secondary-bg) !default;\n$form-range-track-border-radius:  1rem !default;\n$form-range-track-box-shadow:     var(--#{$prefix}box-shadow-inset) !default;\n\n$form-range-thumb-width:                   1rem !default;\n$form-range-thumb-height:                  $form-range-thumb-width !default;\n$form-range-thumb-bg:                      $component-active-bg !default;\n$form-range-thumb-border:                  0 !default;\n$form-range-thumb-border-radius:           1rem !default;\n$form-range-thumb-box-shadow:              0 .1rem .25rem rgba($black, .1) !default;\n$form-range-thumb-focus-box-shadow:        0 0 0 1px $body-bg, $input-focus-box-shadow !default;\n$form-range-thumb-focus-box-shadow-width:  $input-focus-width !default; // For focus box shadow issue in Edge\n$form-range-thumb-active-bg:               tint-color($component-active-bg, 70%) !default;\n$form-range-thumb-disabled-bg:             var(--#{$prefix}secondary-color) !default;\n$form-range-thumb-transition:              background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n// scss-docs-end form-range-variables\n\n// scss-docs-start form-file-variables\n$form-file-button-color:          $input-color !default;\n$form-file-button-bg:             var(--#{$prefix}tertiary-bg) !default;\n$form-file-button-hover-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end form-file-variables\n\n// scss-docs-start form-floating-variables\n$form-floating-height:                  add(3.5rem, $input-height-border) !default;\n$form-floating-line-height:             1.25 !default;\n$form-floating-padding-x:               $input-padding-x !default;\n$form-floating-padding-y:               1rem !default;\n$form-floating-input-padding-t:         1.625rem !default;\n$form-floating-input-padding-b:         .625rem !default;\n$form-floating-label-height:            1.5em !default;\n$form-floating-label-opacity:           .65 !default;\n$form-floating-label-transform:         scale(.85) translateY(-.5rem) translateX(.15rem) !default;\n$form-floating-label-disabled-color:    $gray-600 !default;\n$form-floating-transition:              opacity .1s ease-in-out, transform .1s ease-in-out !default;\n// scss-docs-end form-floating-variables\n\n// Form validation\n\n// scss-docs-start form-feedback-variables\n$form-feedback-margin-top:          $form-text-margin-top !default;\n$form-feedback-font-size:           $form-text-font-size !default;\n$form-feedback-font-style:          $form-text-font-style !default;\n$form-feedback-valid-color:         $success !default;\n$form-feedback-invalid-color:       $danger !default;\n\n$form-feedback-icon-valid-color:    $form-feedback-valid-color !default;\n$form-feedback-icon-valid:          url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'><path fill='#{$form-feedback-icon-valid-color}' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/></svg>\") !default;\n$form-feedback-icon-invalid-color:  $form-feedback-invalid-color !default;\n$form-feedback-icon-invalid:        url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='#{$form-feedback-icon-invalid-color}'><circle cx='6' cy='6' r='4.5'/><path stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/><circle cx='6' cy='8.2' r='.6' fill='#{$form-feedback-icon-invalid-color}' stroke='none'/></svg>\") !default;\n// scss-docs-end form-feedback-variables\n\n// scss-docs-start form-validation-colors\n$form-valid-color:                  $form-feedback-valid-color !default;\n$form-valid-border-color:           $form-feedback-valid-color !default;\n$form-invalid-color:                $form-feedback-invalid-color !default;\n$form-invalid-border-color:         $form-feedback-invalid-color !default;\n// scss-docs-end form-validation-colors\n\n// scss-docs-start form-validation-states\n$form-validation-states: (\n  \"valid\": (\n    \"color\": var(--#{$prefix}form-valid-color),\n    \"icon\": $form-feedback-icon-valid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}success),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}success-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-valid-border-color),\n  ),\n  \"invalid\": (\n    \"color\": var(--#{$prefix}form-invalid-color),\n    \"icon\": $form-feedback-icon-invalid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}danger),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}danger-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-invalid-border-color),\n  )\n) !default;\n// scss-docs-end form-validation-states\n\n// Z-index master list\n//\n// Warning: Avoid customizing these values. They're used for a bird's eye view\n// of components dependent on the z-axis and are designed to all work together.\n\n// scss-docs-start zindex-stack\n$zindex-dropdown:                   1000 !default;\n$zindex-sticky:                     1020 !default;\n$zindex-fixed:                      1030 !default;\n$zindex-offcanvas-backdrop:         1040 !default;\n$zindex-offcanvas:                  1045 !default;\n$zindex-modal-backdrop:             1050 !default;\n$zindex-modal:                      1055 !default;\n$zindex-popover:                    1070 !default;\n$zindex-tooltip:                    1080 !default;\n$zindex-toast:                      1090 !default;\n// scss-docs-end zindex-stack\n\n// scss-docs-start zindex-levels-map\n$zindex-levels: (\n  n1: -1,\n  0: 0,\n  1: 1,\n  2: 2,\n  3: 3\n) !default;\n// scss-docs-end zindex-levels-map\n\n\n// Navs\n\n// scss-docs-start nav-variables\n$nav-link-padding-y:                .5rem !default;\n$nav-link-padding-x:                1rem !default;\n$nav-link-font-size:                null !default;\n$nav-link-font-weight:              null !default;\n$nav-link-color:                    var(--#{$prefix}link-color) !default;\n$nav-link-hover-color:              var(--#{$prefix}link-hover-color) !default;\n$nav-link-transition:               color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out !default;\n$nav-link-disabled-color:           var(--#{$prefix}secondary-color) !default;\n$nav-link-focus-box-shadow:         $focus-ring-box-shadow !default;\n\n$nav-tabs-border-color:             var(--#{$prefix}border-color) !default;\n$nav-tabs-border-width:             var(--#{$prefix}border-width) !default;\n$nav-tabs-border-radius:            var(--#{$prefix}border-radius) !default;\n$nav-tabs-link-hover-border-color:  var(--#{$prefix}secondary-bg) var(--#{$prefix}secondary-bg) $nav-tabs-border-color !default;\n$nav-tabs-link-active-color:        var(--#{$prefix}emphasis-color) !default;\n$nav-tabs-link-active-bg:           var(--#{$prefix}body-bg) !default;\n$nav-tabs-link-active-border-color: var(--#{$prefix}border-color) var(--#{$prefix}border-color) $nav-tabs-link-active-bg !default;\n\n$nav-pills-border-radius:           var(--#{$prefix}border-radius) !default;\n$nav-pills-link-active-color:       $component-active-color !default;\n$nav-pills-link-active-bg:          $component-active-bg !default;\n\n$nav-underline-gap:                 1rem !default;\n$nav-underline-border-width:        .125rem !default;\n$nav-underline-link-active-color:   var(--#{$prefix}emphasis-color) !default;\n// scss-docs-end nav-variables\n\n\n// Navbar\n\n// scss-docs-start navbar-variables\n$navbar-padding-y:                  $spacer * .5 !default;\n$navbar-padding-x:                  null !default;\n\n$navbar-nav-link-padding-x:         .5rem !default;\n\n$navbar-brand-font-size:            $font-size-lg !default;\n// Compute the navbar-brand padding-y so the navbar-brand will have the same height as navbar-text and nav-link\n$nav-link-height:                   $font-size-base * $line-height-base + $nav-link-padding-y * 2 !default;\n$navbar-brand-height:               $navbar-brand-font-size * $line-height-base !default;\n$navbar-brand-padding-y:            ($nav-link-height - $navbar-brand-height) * .5 !default;\n$navbar-brand-margin-end:           1rem !default;\n\n$navbar-toggler-padding-y:          .25rem !default;\n$navbar-toggler-padding-x:          .75rem !default;\n$navbar-toggler-font-size:          $font-size-lg !default;\n$navbar-toggler-border-radius:      $btn-border-radius !default;\n$navbar-toggler-focus-width:        $btn-focus-width !default;\n$navbar-toggler-transition:         box-shadow .15s ease-in-out !default;\n\n$navbar-light-color:                rgba(var(--#{$prefix}emphasis-color-rgb), .65) !default;\n$navbar-light-hover-color:          rgba(var(--#{$prefix}emphasis-color-rgb), .8) !default;\n$navbar-light-active-color:         rgba(var(--#{$prefix}emphasis-color-rgb), 1) !default;\n$navbar-light-disabled-color:       rgba(var(--#{$prefix}emphasis-color-rgb), .3) !default;\n$navbar-light-icon-color:           rgba($body-color, .75) !default;\n$navbar-light-toggler-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-light-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-light-toggler-border-color: rgba(var(--#{$prefix}emphasis-color-rgb), .15) !default;\n$navbar-light-brand-color:          $navbar-light-active-color !default;\n$navbar-light-brand-hover-color:    $navbar-light-active-color !default;\n// scss-docs-end navbar-variables\n\n// scss-docs-start navbar-dark-variables\n$navbar-dark-color:                 rgba($white, .55) !default;\n$navbar-dark-hover-color:           rgba($white, .75) !default;\n$navbar-dark-active-color:          $white !default;\n$navbar-dark-disabled-color:        rgba($white, .25) !default;\n$navbar-dark-icon-color:            $navbar-dark-color !default;\n$navbar-dark-toggler-icon-bg:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-dark-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-dark-toggler-border-color:  rgba($white, .1) !default;\n$navbar-dark-brand-color:           $navbar-dark-active-color !default;\n$navbar-dark-brand-hover-color:     $navbar-dark-active-color !default;\n// scss-docs-end navbar-dark-variables\n\n\n// Dropdowns\n//\n// Dropdown menu container and contents.\n\n// scss-docs-start dropdown-variables\n$dropdown-min-width:                10rem !default;\n$dropdown-padding-x:                0 !default;\n$dropdown-padding-y:                .5rem !default;\n$dropdown-spacer:                   .125rem !default;\n$dropdown-font-size:                $font-size-base !default;\n$dropdown-color:                    var(--#{$prefix}body-color) !default;\n$dropdown-bg:                       var(--#{$prefix}body-bg) !default;\n$dropdown-border-color:             var(--#{$prefix}border-color-translucent) !default;\n$dropdown-border-radius:            var(--#{$prefix}border-radius) !default;\n$dropdown-border-width:             var(--#{$prefix}border-width) !default;\n$dropdown-inner-border-radius:      calc(#{$dropdown-border-radius} - #{$dropdown-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$dropdown-divider-bg:               $dropdown-border-color !default;\n$dropdown-divider-margin-y:         $spacer * .5 !default;\n$dropdown-box-shadow:               var(--#{$prefix}box-shadow) !default;\n\n$dropdown-link-color:               var(--#{$prefix}body-color) !default;\n$dropdown-link-hover-color:         $dropdown-link-color !default;\n$dropdown-link-hover-bg:            var(--#{$prefix}tertiary-bg) !default;\n\n$dropdown-link-active-color:        $component-active-color !default;\n$dropdown-link-active-bg:           $component-active-bg !default;\n\n$dropdown-link-disabled-color:      var(--#{$prefix}tertiary-color) !default;\n\n$dropdown-item-padding-y:           $spacer * .25 !default;\n$dropdown-item-padding-x:           $spacer !default;\n\n$dropdown-header-color:             $gray-600 !default;\n$dropdown-header-padding-x:         $dropdown-item-padding-x !default;\n$dropdown-header-padding-y:         $dropdown-padding-y !default;\n// fusv-disable\n$dropdown-header-padding:           $dropdown-header-padding-y $dropdown-header-padding-x !default; // Deprecated in v5.2.0\n// fusv-enable\n// scss-docs-end dropdown-variables\n\n// scss-docs-start dropdown-dark-variables\n$dropdown-dark-color:               $gray-300 !default;\n$dropdown-dark-bg:                  $gray-800 !default;\n$dropdown-dark-border-color:        $dropdown-border-color !default;\n$dropdown-dark-divider-bg:          $dropdown-divider-bg !default;\n$dropdown-dark-box-shadow:          null !default;\n$dropdown-dark-link-color:          $dropdown-dark-color !default;\n$dropdown-dark-link-hover-color:    $white !default;\n$dropdown-dark-link-hover-bg:       rgba($white, .15) !default;\n$dropdown-dark-link-active-color:   $dropdown-link-active-color !default;\n$dropdown-dark-link-active-bg:      $dropdown-link-active-bg !default;\n$dropdown-dark-link-disabled-color: $gray-500 !default;\n$dropdown-dark-header-color:        $gray-500 !default;\n// scss-docs-end dropdown-dark-variables\n\n\n// Pagination\n\n// scss-docs-start pagination-variables\n$pagination-padding-y:              .375rem !default;\n$pagination-padding-x:              .75rem !default;\n$pagination-padding-y-sm:           .25rem !default;\n$pagination-padding-x-sm:           .5rem !default;\n$pagination-padding-y-lg:           .75rem !default;\n$pagination-padding-x-lg:           1.5rem !default;\n\n$pagination-font-size:              $font-size-base !default;\n\n$pagination-color:                  var(--#{$prefix}link-color) !default;\n$pagination-bg:                     var(--#{$prefix}body-bg) !default;\n$pagination-border-radius:          var(--#{$prefix}border-radius) !default;\n$pagination-border-width:           var(--#{$prefix}border-width) !default;\n$pagination-margin-start:           calc(#{$pagination-border-width} * -1) !default; // stylelint-disable-line function-disallowed-list\n$pagination-border-color:           var(--#{$prefix}border-color) !default;\n\n$pagination-focus-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-focus-bg:               var(--#{$prefix}secondary-bg) !default;\n$pagination-focus-box-shadow:       $focus-ring-box-shadow !default;\n$pagination-focus-outline:          0 !default;\n\n$pagination-hover-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$pagination-hover-border-color:     var(--#{$prefix}border-color) !default; // Todo in v6: remove this?\n\n$pagination-active-color:           $component-active-color !default;\n$pagination-active-bg:              $component-active-bg !default;\n$pagination-active-border-color:    $component-active-bg !default;\n\n$pagination-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$pagination-disabled-bg:            var(--#{$prefix}secondary-bg) !default;\n$pagination-disabled-border-color:  var(--#{$prefix}border-color) !default;\n\n$pagination-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$pagination-border-radius-sm:       var(--#{$prefix}border-radius-sm) !default;\n$pagination-border-radius-lg:       var(--#{$prefix}border-radius-lg) !default;\n// scss-docs-end pagination-variables\n\n\n// Placeholders\n\n// scss-docs-start placeholders\n$placeholder-opacity-max:           .5 !default;\n$placeholder-opacity-min:           .2 !default;\n// scss-docs-end placeholders\n\n// Cards\n\n// scss-docs-start card-variables\n$card-spacer-y:                     $spacer !default;\n$card-spacer-x:                     $spacer !default;\n$card-title-spacer-y:               $spacer * .5 !default;\n$card-title-color:                  null !default;\n$card-subtitle-color:               null !default;\n$card-border-width:                 var(--#{$prefix}border-width) !default;\n$card-border-color:                 var(--#{$prefix}border-color-translucent) !default;\n$card-border-radius:                var(--#{$prefix}border-radius) !default;\n$card-box-shadow:                   null !default;\n$card-inner-border-radius:          subtract($card-border-radius, $card-border-width) !default;\n$card-cap-padding-y:                $card-spacer-y * .5 !default;\n$card-cap-padding-x:                $card-spacer-x !default;\n$card-cap-bg:                       rgba(var(--#{$prefix}body-color-rgb), .03) !default;\n$card-cap-color:                    null !default;\n$card-height:                       null !default;\n$card-color:                        null !default;\n$card-bg:                           var(--#{$prefix}body-bg) !default;\n$card-img-overlay-padding:          $spacer !default;\n$card-group-margin:                 $grid-gutter-width * .5 !default;\n// scss-docs-end card-variables\n\n// Accordion\n\n// scss-docs-start accordion-variables\n$accordion-padding-y:                     1rem !default;\n$accordion-padding-x:                     1.25rem !default;\n$accordion-color:                         var(--#{$prefix}body-color) !default;\n$accordion-bg:                            var(--#{$prefix}body-bg) !default;\n$accordion-border-width:                  var(--#{$prefix}border-width) !default;\n$accordion-border-color:                  var(--#{$prefix}border-color) !default;\n$accordion-border-radius:                 var(--#{$prefix}border-radius) !default;\n$accordion-inner-border-radius:           subtract($accordion-border-radius, $accordion-border-width) !default;\n\n$accordion-body-padding-y:                $accordion-padding-y !default;\n$accordion-body-padding-x:                $accordion-padding-x !default;\n\n$accordion-button-padding-y:              $accordion-padding-y !default;\n$accordion-button-padding-x:              $accordion-padding-x !default;\n$accordion-button-color:                  var(--#{$prefix}body-color) !default;\n$accordion-button-bg:                     var(--#{$prefix}accordion-bg) !default;\n$accordion-transition:                    $btn-transition, border-radius .15s ease !default;\n$accordion-button-active-bg:              var(--#{$prefix}primary-bg-subtle) !default;\n$accordion-button-active-color:           var(--#{$prefix}primary-text-emphasis) !default;\n\n// fusv-disable\n$accordion-button-focus-border-color:     $input-focus-border-color !default; // Deprecated in v5.3.3\n// fusv-enable\n$accordion-button-focus-box-shadow:       $btn-focus-box-shadow !default;\n\n$accordion-icon-width:                    1.25rem !default;\n$accordion-icon-color:                    $body-color !default;\n$accordion-icon-active-color:             $primary-text-emphasis !default;\n$accordion-icon-transition:               transform .2s ease-in-out !default;\n$accordion-icon-transform:                rotate(-180deg) !default;\n\n$accordion-button-icon:         url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='none' stroke='#{$accordion-icon-color}' stroke-linecap='round' stroke-linejoin='round'><path d='M2 5L8 11L14 5'/></svg>\") !default;\n$accordion-button-active-icon:  url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='none' stroke='#{$accordion-icon-active-color}' stroke-linecap='round' stroke-linejoin='round'><path d='M2 5L8 11L14 5'/></svg>\") !default;\n// scss-docs-end accordion-variables\n\n// Tooltips\n\n// scss-docs-start tooltip-variables\n$tooltip-font-size:                 $font-size-sm !default;\n$tooltip-max-width:                 200px !default;\n$tooltip-color:                     var(--#{$prefix}body-bg) !default;\n$tooltip-bg:                        var(--#{$prefix}emphasis-color) !default;\n$tooltip-border-radius:             var(--#{$prefix}border-radius) !default;\n$tooltip-opacity:                   .9 !default;\n$tooltip-padding-y:                 $spacer * .25 !default;\n$tooltip-padding-x:                 $spacer * .5 !default;\n$tooltip-margin:                    null !default; // TODO: remove this in v6\n\n$tooltip-arrow-width:               .8rem !default;\n$tooltip-arrow-height:              .4rem !default;\n// fusv-disable\n$tooltip-arrow-color:               null !default; // Deprecated in Bootstrap 5.2.0 for CSS variables\n// fusv-enable\n// scss-docs-end tooltip-variables\n\n// Form tooltips must come after regular tooltips\n// scss-docs-start tooltip-feedback-variables\n$form-feedback-tooltip-padding-y:     $tooltip-padding-y !default;\n$form-feedback-tooltip-padding-x:     $tooltip-padding-x !default;\n$form-feedback-tooltip-font-size:     $tooltip-font-size !default;\n$form-feedback-tooltip-line-height:   null !default;\n$form-feedback-tooltip-opacity:       $tooltip-opacity !default;\n$form-feedback-tooltip-border-radius: $tooltip-border-radius !default;\n// scss-docs-end tooltip-feedback-variables\n\n\n// Popovers\n\n// scss-docs-start popover-variables\n$popover-font-size:                 $font-size-sm !default;\n$popover-bg:                        var(--#{$prefix}body-bg) !default;\n$popover-max-width:                 276px !default;\n$popover-border-width:              var(--#{$prefix}border-width) !default;\n$popover-border-color:              var(--#{$prefix}border-color-translucent) !default;\n$popover-border-radius:             var(--#{$prefix}border-radius-lg) !default;\n$popover-inner-border-radius:       calc(#{$popover-border-radius} - #{$popover-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$popover-box-shadow:                var(--#{$prefix}box-shadow) !default;\n\n$popover-header-font-size:          $font-size-base !default;\n$popover-header-bg:                 var(--#{$prefix}secondary-bg) !default;\n$popover-header-color:              $headings-color !default;\n$popover-header-padding-y:          .5rem !default;\n$popover-header-padding-x:          $spacer !default;\n\n$popover-body-color:                var(--#{$prefix}body-color) !default;\n$popover-body-padding-y:            $spacer !default;\n$popover-body-padding-x:            $spacer !default;\n\n$popover-arrow-width:               1rem !default;\n$popover-arrow-height:              .5rem !default;\n// scss-docs-end popover-variables\n\n// fusv-disable\n// Deprecated in Bootstrap 5.2.0 for CSS variables\n$popover-arrow-color:               $popover-bg !default;\n$popover-arrow-outer-color:         var(--#{$prefix}border-color-translucent) !default;\n// fusv-enable\n\n\n// Toasts\n\n// scss-docs-start toast-variables\n$toast-max-width:                   350px !default;\n$toast-padding-x:                   .75rem !default;\n$toast-padding-y:                   .5rem !default;\n$toast-font-size:                   .875rem !default;\n$toast-color:                       null !default;\n$toast-background-color:            rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-border-width:                var(--#{$prefix}border-width) !default;\n$toast-border-color:                var(--#{$prefix}border-color-translucent) !default;\n$toast-border-radius:               var(--#{$prefix}border-radius) !default;\n$toast-box-shadow:                  var(--#{$prefix}box-shadow) !default;\n$toast-spacing:                     $container-padding-x !default;\n\n$toast-header-color:                var(--#{$prefix}secondary-color) !default;\n$toast-header-background-color:     rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-header-border-color:         $toast-border-color !default;\n// scss-docs-end toast-variables\n\n\n// Badges\n\n// scss-docs-start badge-variables\n$badge-font-size:                   .75em !default;\n$badge-font-weight:                 $font-weight-bold !default;\n$badge-color:                       $white !default;\n$badge-padding-y:                   .35em !default;\n$badge-padding-x:                   .65em !default;\n$badge-border-radius:               var(--#{$prefix}border-radius) !default;\n// scss-docs-end badge-variables\n\n\n// Modals\n\n// scss-docs-start modal-variables\n$modal-inner-padding:               $spacer !default;\n\n$modal-footer-margin-between:       .5rem !default;\n\n$modal-dialog-margin:               .5rem !default;\n$modal-dialog-margin-y-sm-up:       1.75rem !default;\n\n$modal-title-line-height:           $line-height-base !default;\n\n$modal-content-color:               null !default;\n$modal-content-bg:                  var(--#{$prefix}body-bg) !default;\n$modal-content-border-color:        var(--#{$prefix}border-color-translucent) !default;\n$modal-content-border-width:        var(--#{$prefix}border-width) !default;\n$modal-content-border-radius:       var(--#{$prefix}border-radius-lg) !default;\n$modal-content-inner-border-radius: subtract($modal-content-border-radius, $modal-content-border-width) !default;\n$modal-content-box-shadow-xs:       var(--#{$prefix}box-shadow-sm) !default;\n$modal-content-box-shadow-sm-up:    var(--#{$prefix}box-shadow) !default;\n\n$modal-backdrop-bg:                 $black !default;\n$modal-backdrop-opacity:            .5 !default;\n\n$modal-header-border-color:         var(--#{$prefix}border-color) !default;\n$modal-header-border-width:         $modal-content-border-width !default;\n$modal-header-padding-y:            $modal-inner-padding !default;\n$modal-header-padding-x:            $modal-inner-padding !default;\n$modal-header-padding:              $modal-header-padding-y $modal-header-padding-x !default; // Keep this for backwards compatibility\n\n$modal-footer-bg:                   null !default;\n$modal-footer-border-color:         $modal-header-border-color !default;\n$modal-footer-border-width:         $modal-header-border-width !default;\n\n$modal-sm:                          300px !default;\n$modal-md:                          500px !default;\n$modal-lg:                          800px !default;\n$modal-xl:                          1140px !default;\n\n$modal-fade-transform:              translate(0, -50px) !default;\n$modal-show-transform:              none !default;\n$modal-transition:                  transform .3s ease-out !default;\n$modal-scale-transform:             scale(1.02) !default;\n// scss-docs-end modal-variables\n\n\n// Alerts\n//\n// Define alert colors, border radius, and padding.\n\n// scss-docs-start alert-variables\n$alert-padding-y:               $spacer !default;\n$alert-padding-x:               $spacer !default;\n$alert-margin-bottom:           1rem !default;\n$alert-border-radius:           var(--#{$prefix}border-radius) !default;\n$alert-link-font-weight:        $font-weight-bold !default;\n$alert-border-width:            var(--#{$prefix}border-width) !default;\n$alert-dismissible-padding-r:   $alert-padding-x * 3 !default; // 3x covers width of x plus default padding on either side\n// scss-docs-end alert-variables\n\n// fusv-disable\n$alert-bg-scale:                -80% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-border-scale:            -70% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-color-scale:             40% !default; // Deprecated in v5.2.0, to be removed in v6\n// fusv-enable\n\n// Progress bars\n\n// scss-docs-start progress-variables\n$progress-height:                   1rem !default;\n$progress-font-size:                $font-size-base * .75 !default;\n$progress-bg:                       var(--#{$prefix}secondary-bg) !default;\n$progress-border-radius:            var(--#{$prefix}border-radius) !default;\n$progress-box-shadow:               var(--#{$prefix}box-shadow-inset) !default;\n$progress-bar-color:                $white !default;\n$progress-bar-bg:                   $primary !default;\n$progress-bar-animation-timing:     1s linear infinite !default;\n$progress-bar-transition:           width .6s ease !default;\n// scss-docs-end progress-variables\n\n\n// List group\n\n// scss-docs-start list-group-variables\n$list-group-color:                  var(--#{$prefix}body-color) !default;\n$list-group-bg:                     var(--#{$prefix}body-bg) !default;\n$list-group-border-color:           var(--#{$prefix}border-color) !default;\n$list-group-border-width:           var(--#{$prefix}border-width) !default;\n$list-group-border-radius:          var(--#{$prefix}border-radius) !default;\n\n$list-group-item-padding-y:         $spacer * .5 !default;\n$list-group-item-padding-x:         $spacer !default;\n// fusv-disable\n$list-group-item-bg-scale:          -80% !default; // Deprecated in v5.3.0\n$list-group-item-color-scale:       40% !default; // Deprecated in v5.3.0\n// fusv-enable\n\n$list-group-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$list-group-active-color:           $component-active-color !default;\n$list-group-active-bg:              $component-active-bg !default;\n$list-group-active-border-color:    $list-group-active-bg !default;\n\n$list-group-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$list-group-disabled-bg:            $list-group-bg !default;\n\n$list-group-action-color:           var(--#{$prefix}secondary-color) !default;\n$list-group-action-hover-color:     var(--#{$prefix}emphasis-color) !default;\n\n$list-group-action-active-color:    var(--#{$prefix}body-color) !default;\n$list-group-action-active-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end list-group-variables\n\n\n// Image thumbnails\n\n// scss-docs-start thumbnail-variables\n$thumbnail-padding:                 .25rem !default;\n$thumbnail-bg:                      var(--#{$prefix}body-bg) !default;\n$thumbnail-border-width:            var(--#{$prefix}border-width) !default;\n$thumbnail-border-color:            var(--#{$prefix}border-color) !default;\n$thumbnail-border-radius:           var(--#{$prefix}border-radius) !default;\n$thumbnail-box-shadow:              var(--#{$prefix}box-shadow-sm) !default;\n// scss-docs-end thumbnail-variables\n\n\n// Figures\n\n// scss-docs-start figure-variables\n$figure-caption-font-size:          $small-font-size !default;\n$figure-caption-color:              var(--#{$prefix}secondary-color) !default;\n// scss-docs-end figure-variables\n\n\n// Breadcrumbs\n\n// scss-docs-start breadcrumb-variables\n$breadcrumb-font-size:              null !default;\n$breadcrumb-padding-y:              0 !default;\n$breadcrumb-padding-x:              0 !default;\n$breadcrumb-item-padding-x:         .5rem !default;\n$breadcrumb-margin-bottom:          1rem !default;\n$breadcrumb-bg:                     null !default;\n$breadcrumb-divider-color:          var(--#{$prefix}secondary-color) !default;\n$breadcrumb-active-color:           var(--#{$prefix}secondary-color) !default;\n$breadcrumb-divider:                quote(\"/\") !default;\n$breadcrumb-divider-flipped:        $breadcrumb-divider !default;\n$breadcrumb-border-radius:          null !default;\n// scss-docs-end breadcrumb-variables\n\n// Carousel\n\n// scss-docs-start carousel-variables\n$carousel-control-color:             $white !default;\n$carousel-control-width:             15% !default;\n$carousel-control-opacity:           .5 !default;\n$carousel-control-hover-opacity:     .9 !default;\n$carousel-control-transition:        opacity .15s ease !default;\n\n$carousel-indicator-width:           30px !default;\n$carousel-indicator-height:          3px !default;\n$carousel-indicator-hit-area-height: 10px !default;\n$carousel-indicator-spacer:          3px !default;\n$carousel-indicator-opacity:         .5 !default;\n$carousel-indicator-active-bg:       $white !default;\n$carousel-indicator-active-opacity:  1 !default;\n$carousel-indicator-transition:      opacity .6s ease !default;\n\n$carousel-caption-width:             70% !default;\n$carousel-caption-color:             $white !default;\n$carousel-caption-padding-y:         1.25rem !default;\n$carousel-caption-spacer:            1.25rem !default;\n\n$carousel-control-icon-width:        2rem !default;\n\n$carousel-control-prev-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/></svg>\") !default;\n$carousel-control-next-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n\n$carousel-transition-duration:       .6s !default;\n$carousel-transition:                transform $carousel-transition-duration ease-in-out !default; // Define transform transition first if using multiple transitions (e.g., `transform 2s ease, opacity .5s ease-out`)\n// scss-docs-end carousel-variables\n\n// scss-docs-start carousel-dark-variables\n$carousel-dark-indicator-active-bg:  $black !default;\n$carousel-dark-caption-color:        $black !default;\n$carousel-dark-control-icon-filter:  invert(1) grayscale(100) !default;\n// scss-docs-end carousel-dark-variables\n\n\n// Spinners\n\n// scss-docs-start spinner-variables\n$spinner-width:           2rem !default;\n$spinner-height:          $spinner-width !default;\n$spinner-vertical-align:  -.125em !default;\n$spinner-border-width:    .25em !default;\n$spinner-animation-speed: .75s !default;\n\n$spinner-width-sm:        1rem !default;\n$spinner-height-sm:       $spinner-width-sm !default;\n$spinner-border-width-sm: .2em !default;\n// scss-docs-end spinner-variables\n\n\n// Close\n\n// scss-docs-start close-variables\n$btn-close-width:            1em !default;\n$btn-close-height:           $btn-close-width !default;\n$btn-close-padding-x:        .25em !default;\n$btn-close-padding-y:        $btn-close-padding-x !default;\n$btn-close-color:            $black !default;\n$btn-close-bg:               url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$btn-close-color}'><path d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/></svg>\") !default;\n$btn-close-focus-shadow:     $focus-ring-box-shadow !default;\n$btn-close-opacity:          .5 !default;\n$btn-close-hover-opacity:    .75 !default;\n$btn-close-focus-opacity:    1 !default;\n$btn-close-disabled-opacity: .25 !default;\n$btn-close-white-filter:     invert(1) grayscale(100%) brightness(200%) !default;\n// scss-docs-end close-variables\n\n\n// Offcanvas\n\n// scss-docs-start offcanvas-variables\n$offcanvas-padding-y:               $modal-inner-padding !default;\n$offcanvas-padding-x:               $modal-inner-padding !default;\n$offcanvas-horizontal-width:        400px !default;\n$offcanvas-vertical-height:         30vh !default;\n$offcanvas-transition-duration:     .3s !default;\n$offcanvas-border-color:            $modal-content-border-color !default;\n$offcanvas-border-width:            $modal-content-border-width !default;\n$offcanvas-title-line-height:       $modal-title-line-height !default;\n$offcanvas-bg-color:                var(--#{$prefix}body-bg) !default;\n$offcanvas-color:                   var(--#{$prefix}body-color) !default;\n$offcanvas-box-shadow:              $modal-content-box-shadow-xs !default;\n$offcanvas-backdrop-bg:             $modal-backdrop-bg !default;\n$offcanvas-backdrop-opacity:        $modal-backdrop-opacity !default;\n// scss-docs-end offcanvas-variables\n\n// Code\n\n$code-font-size:                    $small-font-size !default;\n$code-color:                        $pink !default;\n\n$kbd-padding-y:                     .1875rem !default;\n$kbd-padding-x:                     .375rem !default;\n$kbd-font-size:                     $code-font-size !default;\n$kbd-color:                         var(--#{$prefix}body-bg) !default;\n$kbd-bg:                            var(--#{$prefix}body-color) !default;\n$nested-kbd-font-weight:            null !default; // Deprecated in v5.2.0, removing in v6\n\n$pre-color:                         null !default;\n\n@import \"variables-dark\"; // TODO: can be removed safely in v6, only here to avoid breaking changes in v5.3\n","// Override bootstrap variables\n$spacer: 1rem;\n$container-max-widths: (\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1400px,\n);\n$grid-breakpoints: (\n  xs: 0,\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1200px,\n);\n$dropdown-link-hover-bg: var(--pst-color-surface);\n\n// --pst-color-surface can also be assigned to the dark variant because it is\n// scoped to different values depending on light/dark theme\n$dropdown-dark-link-hover-bg: var(--pst-color-surface);\n$dropdown-link-active-bg: var(--pst-color-surface);\n$dropdown-dark-link-active-bg: var(--pst-color-surface);\n$focus-ring-width: 0.1875rem; // 3px at 100% zoom (0.1875 * 16px base font = 3px)\n$focus-ring-opacity: 1;\n$focus-ring-color: var(--pst-color-accent);\n$focus-ring-blur: 0;\n$focus-ring-box-shadow: 0 0 $focus-ring-blur $focus-ring-width $focus-ring-color;\n\n// outline creates the same style of focus ring, it just uses CSS outline instead of box shadow\n$focus-ring-outline: $focus-ring-color solid $focus-ring-width;\n$btn-focus-box-shadow: $focus-ring-box-shadow;\n","/***\n * Rules for the UX/UI of skip navigation link btn.\n * It's only visible to people\n * navigating with keyboard for accessibility purposes\n * ref: https://www.youtube.com/watch?v=VUR0I5mqq7I\n ***/\n\n.skip-link {\n  position: fixed;\n  top: 0;\n  left: 0;\n  right: 0;\n  text-align: center;\n  background-color: var(--pst-color-warning);\n  padding: 0.5rem;\n  z-index: $zindex-modal;\n  border-bottom: 1px solid var(--pst-color-border);\n\n  // This shows / hides the button\n  transform: translateY(-100%);\n  transition: transform 150ms ease-in-out;\n\n  &:focus-within {\n    transform: translateY(0%);\n  }\n\n  a {\n    // Ensure we are using a WCAG conformant colour\n    color: var(--pst-color-warning-text) !important;\n\n    &:focus-visible {\n      // use color with sufficient contrast\n      outline-color: $foundation-black;\n    }\n  }\n}\n","/*******************************************************************************\n* master color map. Only the colors that actually differ between light and dark\n* themes are specified separately.\n*\n* To see the full list of colors see https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1234%3A765&t=ifcFT1JtnrSshGfi-1\n*/\n\n@use \"sass:map\";\n@use \"sass:meta\";\n@use \"sass:string\";\n\n/**\n* Function to get items from nested maps\n*/\n// @param {Map} $map - Map\n// @param {Arglist} $keys - Keys to fetch\n// @return {*}\n@function map-deep-get($map, $keys...) {\n  @each $key in $keys {\n    $map: map.get($map, $key);\n  }\n\n  @return $map;\n}\n\n/* Assign base colors for the PyData theme */\n$color-palette: (\n  // Primary color\n  \"teal\":\n    (\n      \"50\": #f4fbfc,\n      \"100\": #e9f6f8,\n      \"200\": #d0ecf1,\n      \"300\": #abdde6,\n      \"400\": #3fb1c5,\n      \"500\": #0a7d91,\n      \"600\": #085d6c,\n      \"700\": #064752,\n      \"800\": #042c33,\n      \"900\": #021b1f,\n    ),\n  // Secondary color\n  \"violet\":\n    (\n      \"50\": #f4eefb,\n      \"100\": #e0c7ff,\n      \"200\": #d5b4fd,\n      \"300\": #b780ff,\n      \"400\": #9c5ffd,\n      \"500\": #8045e5,\n      \"600\": #6432bd,\n      \"700\": #4b258f,\n      \"800\": #341a61,\n      \"900\": #1e0e39,\n    ),\n  // Neutrals\n  \"gray\":\n    (\n      \"50\": #f9f9fa,\n      \"100\": #f3f4f5,\n      \"200\": #e5e7ea,\n      \"300\": #d1d5da,\n      \"400\": #9ca4af,\n      \"500\": #677384,\n      \"600\": #48566b,\n      \"700\": #29313d,\n      \"800\": #222832,\n      \"900\": #14181e,\n    ),\n  // Accent color\n  \"pink\":\n    (\n      \"50\": #fcf8fd,\n      \"100\": #fcf0fa,\n      \"200\": #f8dff5,\n      \"300\": #f3c7ee,\n      \"400\": #e47fd7,\n      \"500\": #c132af,\n      \"600\": #912583,\n      \"700\": #6e1c64,\n      \"800\": #46123f,\n      \"900\": #2b0b27,\n    ),\n  \"foundation\": (\n    \"white\": #ffffff,\n    // gray-900\n    \"black\": #14181e,\n  )\n);\n\n:root {\n  // Add theme colours to the html root element\n  @each $group-color, $color in $color-palette {\n    @each $color-name, $definition in $color {\n      --pst-#{$group-color}-#{$color-name}: #{$definition};\n    }\n  }\n}\n\n// Static SCSS variables used thoroughout the theme\n// Minimum contrast ratio used for the theme.\n// Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n// 4.5 - is for text that is 14pt or less\n$min-contrast-ratio-4: 4.5;\n\n// 3 is for text that is 18pt or bold, or for non-text elements\n$min-contrast-ratio-3: 3;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$foundation-black: #14181e;\n$foundation-white: #fff;\n\n// This is a custom - calculated  color between gray 100 and 200 - to reduce\n// the contrast ratio (avoid a jarring effect)\n$base-light-text: #ced6dd;\n\n// used in sphinx_design - gray 100\n$foundation-light-gray: #f3f4f5;\n\n// used in sphinx_design - gray 700\n$foundation-muted-gray: #29313d;\n\n// used in sphinx_design - gray 800\n$foundation-dark-gray: #222832;\n$pst-semantic-colors: (\n  \"primary\": (\n    \"light\": #{map-deep-get($color-palette, \"teal\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"teal\", \"200\")},\n    \"dark\": #{map-deep-get($color-palette, \"teal\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"teal\", \"800\")},\n  ),\n  \"secondary\": (\n    \"light\": #{map-deep-get($color-palette, \"violet\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"violet\", \"100\")},\n    \"dark\": #{map-deep-get($color-palette, \"violet\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"violet\", \"800\")},\n  ),\n  \"accent\": (\n    \"light\": #{map-deep-get($color-palette, \"pink\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"pink\", \"200\")},\n    \"dark\": #{map-deep-get($color-palette, \"pink\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"pink\", \"800\")},\n  ),\n  \"info\": (\n    \"light\": #276be9,\n    \"bg-light\": #dce7fc,\n    \"dark\": #79a3f2,\n    \"bg-dark\": #06245d,\n  ),\n  \"warning\": (\n    \"light\": #f66a0a,\n    \"bg-light\": #f8e3d0,\n    \"dark\": #ff9245,\n    \"bg-dark\": #652a02,\n  ),\n  \"success\": (\n    \"light\": #00843f,\n    \"bg-light\": #d6ece1,\n    \"dark\": #5fb488,\n    \"bg-dark\": #002f17,\n  ),\n  // This is based on the warning color\n  \"attention\":\n    (\n      \"light\": var(--pst-color-warning),\n      \"bg-light\": var(--pst-color-warning-bg),\n      \"dark\": var(--pst-color-warning),\n      \"bg-dark\": var(--pst-color-warning-bg),\n    ),\n  \"danger\": (\n    \"light\": #d72d47,\n    \"bg-light\": #f9e1e4,\n    \"dark\": #e78894,\n    \"bg-dark\": #4e111b,\n  ),\n  \"text-base\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n    \"dark\": $base-light-text,\n  ),\n  \"text-muted\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"600\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"400\")},\n  ),\n  \"heading-color\": (\n    \"light\": #{$foundation-white},\n    \"dark\": #{$foundation-black},\n  ),\n  \"shadow\": (\n    \"light\": rgba(0, 0, 0, 0.1),\n    \"dark\": rgba(0, 0, 0, 0.2),\n  ),\n  \"border\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"300\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"600\")},\n  ),\n  \"border-muted\": (\n    \"light\": rgba(23, 23, 26, 0.2),\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"700\")},\n  ),\n  \"blockquote-notch\": (\n    // These colors have a contrast ratio > 3.0 against both the background and\n    // surface colors that the notch is sandwiched between\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"500\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"400\")},\n  ),\n  \"inline-code\": (\n    \"light\": #{map-deep-get($color-palette, \"pink\", \"600\")},\n    \"dark\": #{map-deep-get($color-palette, \"pink\", \"300\")},\n  ),\n  \"inline-code-links\": (\n    // need to make sure there is enough contrast against the code bg\n    \"light\": #{map-deep-get($color-palette, \"teal\", \"600\")},\n    // keep primary color for dark mode\n    \"dark\": #{map-deep-get($color-palette, \"teal\", \"400\")},\n  ),\n  \"target\": (\n    \"light\": #f3cf95,\n    \"dark\": #675c04,\n  ),\n  \"table\": (\n    \"light\": #{map-deep-get($color-palette, \"foundation\", \"black\")},\n    \"dark\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n  ),\n  \"table-row-hover\": (\n    \"bg-light\": #{map-deep-get($color-palette, \"violet\", \"300\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"violet\", \"600\")},\n  ),\n  \"table-inner-border\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"200\")},\n    \"dark\": #364150,\n  ),\n  // DEPTH COLORS - you can see the elevation colours and shades\n  // in the Figma file https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1492%3A922&t=sQeQZehkOzposYEg-1\n  // background: color of the canvas / the furthest back layer\n  \"background\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n      \"dark\": #{map-deep-get($color-palette, \"foundation\", \"black\")},\n    ),\n  // on-background: provides slight contrast against background\n  // (by use of shadows in light theme)\n  \"on-background\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n      \"dark\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n    ),\n  \"surface\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"100\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"700\")},\n  ),\n  // on_surface: object on top of surface object (without shadows)\n  \"on-surface\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n      \"dark\": $foundation-light-gray,\n    ),\n);\n\n/*******************************************************************************\n* write the color rules for each theme (light/dark)\n*/\n\n/* NOTE:\n * Mixins enable us to reuse the same definitions for the different modes\n * https://sass-lang.com/documentation/at-rules/mixin\n * #{something} inserts a variable into a CSS selector or property name\n * https://sass-lang.com/documentation/interpolation\n */\n@mixin theme-colors($mode) {\n  // check if this color is defined differently for light/dark\n  @each $col-name, $definition in $pst-semantic-colors {\n    @if meta.type-of($definition) == map {\n      @each $key, $val in $definition {\n        @if string.index($key, $mode) {\n          // since now we define the bg colours in the semantic colours and not\n          // by changing opacity, we need to check if the key contains bg and the\n          // correct mode (light/dark)\n          @if string.index($key, \"bg\") {\n            --pst-color-#{$col-name}-bg: #{$val};\n          } @else {\n            --pst-color-#{$col-name}: #{$val};\n          }\n        }\n      }\n    } @else {\n      --pst-color-#{$col-name}: #{$definition};\n    }\n  }\n\n  // assign the \"duplicate\" colors (ones that just reference other variables)\n  & {\n    --pst-color-link: var(--pst-color-primary);\n    --pst-color-link-hover: var(--pst-color-secondary);\n    --pst-color-table-outer-border: var(--pst-color-surface);\n    --pst-color-table-heading-bg: var(--pst-color-surface);\n    --pst-color-table-row-zebra-high-bg: var(--pst-color-on-background);\n    --pst-color-table-row-zebra-low-bg: var(--pst-color-surface);\n  }\n\n  // adapt to light/dark-specific content\n  @if $mode == \"light\" {\n    .only-dark,\n    .only-dark ~ figcaption {\n      display: none !important;\n    }\n  } @else {\n    .only-light,\n    .only-light ~ figcaption {\n      display: none !important;\n    }\n\n    /* Adjust images in dark mode (unless they have class .only-dark or\n     * .dark-light, in which case assume they're already optimized for dark\n     * mode).\n     */\n    img:not(.only-dark, .dark-light) {\n      filter: brightness(0.8) contrast(1.2);\n    }\n\n    /* Give images a light background in dark mode in case they have\n    *  transparency and black text (unless they have class .only-dark or .dark-light, in\n    *  which case assume they're already optimized for dark mode).\n    */\n    .bd-content img:not(.only-dark, .dark-light) {\n      background-color: rgb(255 255 255);\n      border-radius: 0.25rem;\n    }\n\n    // MathJax SVG outputs should be filled to same color as text.\n    .MathJax_SVG * {\n      fill: var(--pst-color-text-base);\n    }\n  }\n}\n\n/* Defaults to light mode if data-theme is not set */\nhtml:not([data-theme]) {\n  @include theme-colors(\"light\");\n}\n\n/* NOTE: @each {...} is like a for-loop\n * https://sass-lang.com/documentation/at-rules/control/each\n */\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    @include theme-colors($mode);\n\n    color-scheme: $mode;\n  }\n}\n\n// assign classes too, for runtime use of theme colors\n@each $col-name, $definition in $pst-semantic-colors {\n  .pst-color-#{$col-name} {\n    color: var(--pst-color-#{$col-name});\n  }\n}\n",".bd-container {\n  flex-grow: 1;\n  display: flex;\n  justify-content: center;\n\n  .bd-container__inner {\n    display: flex;\n  }\n}\n\n.bd-page-width {\n  width: 100%;\n\n  @include media-breakpoint-up(lg) {\n    max-width: $breakpoint-page-width;\n  }\n}\n","// Breakpoint viewport sizes and media queries.\n//\n// Breakpoints are defined as a map of (name: minimum width), order from small to large:\n//\n//    (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px)\n//\n// The map defined in the `$grid-breakpoints` global variable is used as the `$breakpoints` argument by default.\n\n// Name of the next breakpoint, or null for the last breakpoint.\n//\n//    >> breakpoint-next(sm)\n//    md\n//    >> breakpoint-next(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    md\n//    >> breakpoint-next(sm, $breakpoint-names: (xs sm md lg xl xxl))\n//    md\n@function breakpoint-next($name, $breakpoints: $grid-breakpoints, $breakpoint-names: map-keys($breakpoints)) {\n  $n: index($breakpoint-names, $name);\n  @if not $n {\n    @error \"breakpoint `#{$name}` not found in `#{$breakpoints}`\";\n  }\n  @return if($n < length($breakpoint-names), nth($breakpoint-names, $n + 1), null);\n}\n\n// Minimum breakpoint width. Null for the smallest (first) breakpoint.\n//\n//    >> breakpoint-min(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    576px\n@function breakpoint-min($name, $breakpoints: $grid-breakpoints) {\n  $min: map-get($breakpoints, $name);\n  @return if($min != 0, $min, null);\n}\n\n// Maximum breakpoint width.\n// The maximum value is reduced by 0.02px to work around the limitations of\n// `min-` and `max-` prefixes and viewports with fractional widths.\n// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max\n// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.\n// See https://bugs.webkit.org/show_bug.cgi?id=178261\n//\n//    >> breakpoint-max(md, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    767.98px\n@function breakpoint-max($name, $breakpoints: $grid-breakpoints) {\n  $max: map-get($breakpoints, $name);\n  @return if($max and $max > 0, $max - .02, null);\n}\n\n// Returns a blank string if smallest breakpoint, otherwise returns the name with a dash in front.\n// Useful for making responsive utilities.\n//\n//    >> breakpoint-infix(xs, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"\"  (Returns a blank string)\n//    >> breakpoint-infix(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"-sm\"\n@function breakpoint-infix($name, $breakpoints: $grid-breakpoints) {\n  @return if(breakpoint-min($name, $breakpoints) == null, \"\", \"-#{$name}\");\n}\n\n// Media of at least the minimum breakpoint width. No query for the smallest breakpoint.\n// Makes the @content apply to the given breakpoint and wider.\n@mixin media-breakpoint-up($name, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($name, $breakpoints);\n  @if $min {\n    @media (min-width: $min) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media of at most the maximum breakpoint width. No query for the largest breakpoint.\n// Makes the @content apply to the given breakpoint and narrower.\n@mixin media-breakpoint-down($name, $breakpoints: $grid-breakpoints) {\n  $max: breakpoint-max($name, $breakpoints);\n  @if $max {\n    @media (max-width: $max) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media that spans multiple breakpoint widths.\n// Makes the @content apply between the min and max breakpoints\n@mixin media-breakpoint-between($lower, $upper, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($lower, $breakpoints);\n  $max: breakpoint-max($upper, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($lower, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($upper, $breakpoints) {\n      @content;\n    }\n  }\n}\n\n// Media between the breakpoint's minimum and maximum widths.\n// No minimum for the smallest breakpoint, and no maximum for the largest one.\n// Makes the @content apply only to the given breakpoint, not viewports any wider or narrower.\n@mixin media-breakpoint-only($name, $breakpoints: $grid-breakpoints) {\n  $min:  breakpoint-min($name, $breakpoints);\n  $next: breakpoint-next($name, $breakpoints);\n  $max:  breakpoint-max($next, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($name, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($next, $breakpoints) {\n      @content;\n    }\n  }\n}\n",".pst-async-banner-revealer {\n  // Setting height to 0 and overflow to hidden allows us to add up the heights\n  // of this element's children before revealing them.\n  height: 0;\n  overflow: hidden;\n\n  // Height to be set by JavaScript, which should trigger the following\n  // transition rule (unless the user has set their system to reduce motion).\n  transition: height 300ms ease-in-out;\n\n  @media (prefers-reduced-motion) {\n    transition: none;\n  }\n}\n\n#bd-header-version-warning,\n.bd-header-announcement {\n  min-height: 3rem;\n  width: 100%;\n  display: flex;\n  position: relative;\n  align-items: center;\n  justify-content: center;\n  text-align: center;\n  padding: 0.5rem 12.5%; // Horizontal padding so the width is 75%\n  // One breakpoint less than $breakpoint-sidebar-primary. See variables/_layout.scss for more info.\n  @include media-breakpoint-down(lg) {\n    // Announcements can take a bit more width on mobile\n    padding: 0.5rem 2%;\n  }\n\n  p {\n    font-weight: bold;\n    margin: 0;\n  }\n\n  // Ensure there is enough contrast against the background\n  a {\n    color: var(--pst-color-inline-code-links);\n  }\n\n  // The \"Switch to stable version\" link (styled like a button)\n  .pst-button-link-to-stable-version {\n    @include box-shadow;\n\n    $background-color: var(--pst-color-danger);\n    $hover-background-color: var(--pst-color-danger-highlight);\n    $color: var(--pst-color-danger-text);\n\n    background-color: $background-color;\n    border-color: $background-color;\n    color: $color;\n    border-radius: 0.25rem;\n\n    &:hover {\n      background-color: $hover-background-color;\n      border-color: $hover-background-color;\n      color: $color;\n    }\n\n    &:focus-visible {\n      outline: $focus-ring-width solid $background-color;\n      outline-offset: $focus-ring-width;\n    }\n  }\n}\n\n// Bg color is now defined in the theme color palette - using our secondary color\n.bd-header-announcement {\n  background-color: var(--pst-color-secondary-bg);\n}\n\n#bd-header-version-warning {\n  background-color: var(--pst-color-danger-bg);\n}\n","/*********************************************\n* SASS Mixins\n*********************************************/\n\n/**\n * A consistent box shadow style we apply across elements.\n */\n@mixin box-shadow() {\n  box-shadow:\n    0 0.2rem 0.5rem var(--pst-color-shadow),\n    0 0 0.0625rem var(--pst-color-shadow) !important;\n}\n\n/**\n   * Set background of some cell outputs to white-ish to make sure colors work\n   * This is because many libraries make output that only looks good on white\n   */\n@mixin cell-output-background {\n  color: var(--pst-color-on-background);\n  background-color: var(--pst-color-text-base);\n  border-radius: 0.25rem;\n  padding: 0.5rem;\n}\n\n@mixin table-colors {\n  color: var(--pst-color-table);\n  border: 1px solid var(--pst-color-table-outer-border);\n\n  th,\n  td {\n    ~ th,\n    ~ td {\n      border-left: 1px solid var(--pst-color-table-inner-border);\n    }\n  }\n\n  thead {\n    tr {\n      background-color: var(--pst-color-table-heading-bg);\n      border-bottom: 2px solid var(--pst-color-primary);\n    }\n  }\n\n  tbody {\n    tr {\n      &:nth-child(odd) {\n        background-color: var(--pst-color-table-row-zebra-low-bg);\n      }\n\n      &:nth-child(even) {\n        background-color: var(--pst-color-table-row-zebra-high-bg);\n      }\n\n      &:hover {\n        background-color: var(--pst-color-table-row-hover-bg);\n      }\n    }\n  }\n}\n\n// Minimum mouse hit area\n// ----------------------\n// Ensures that the element has a minimum hit area that conforms to\n// accessibility guidelines. For WCAG AA, we need 24px x 24px, see:\n// https://www.w3.org/WAI/WCAG22/Understanding/target-size-minimum.html\n@mixin min-hit-area() {\n  box-sizing: border-box;\n  min-width: 24px;\n  min-height: 24px;\n}\n","/**\n * Main content area\n */\n.bd-main {\n  flex-grow: 1;\n  flex-direction: column;\n  display: flex;\n  min-width: 0;\n\n  .bd-content {\n    display: flex;\n    justify-content: center;\n    height: 100%;\n\n    .bd-article-container {\n      justify-content: start;\n      display: flex;\n      flex-direction: column;\n\n      // Max-width is slightly more than the W3 since our docs often have images.\n      // We shoot for about 100 characters per line instead of 80.\n      // ref: https://www.w3.org/WAI/tutorials/page-structure/styling/#line-length\n      width: 100%;\n      max-width: 60em;\n      overflow-x: auto; // Prevent wide content from pushing off the secondary sidebar\n      padding: 1rem;\n\n      .bd-article {\n        // Give a bit more verticle spacing on wide screens\n        @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n          padding-top: 1.5rem;\n          padding-left: 2rem;\n        }\n      }\n    }\n  }\n}\n",".bd-footer {\n  width: 100%;\n  border-top: 1px solid var(--pst-color-border);\n\n  .bd-footer__inner {\n    display: flex;\n    flex-grow: 1;\n    padding: 1rem;\n    margin: auto;\n  }\n\n  .footer-items__start,\n  .footer-items__center,\n  .footer-items__end {\n    display: flex;\n    flex-direction: column;\n    gap: 0.5rem;\n    justify-content: center;\n    flex-grow: 1;\n  }\n\n  .footer-items__center {\n    text-align: center;\n  }\n\n  .footer-items__end {\n    text-align: end;\n  }\n\n  // So that paragraphs don't take up extra room\n  .footer-item p {\n    margin-bottom: 0;\n  }\n}\n",".bd-footer-article {\n  margin-top: auto;\n\n  .footer-article-items {\n    display: flex;\n    flex-direction: column;\n  }\n}\n",".bd-footer-content {\n  .footer-content-items {\n    display: flex;\n    flex-direction: column;\n    margin-top: auto;\n  }\n}\n","/**\n * Header at the top of the page\n * It includes the announcement bar and the navigation bar.\n */\n\n// Styling for the Icon links can be found in components/_icon-links.scss\n\n// If we want the shadow to only point downward in the future, set\n// box-shadow to: 0 0.125rem 0.25rem -0.125rem rgba(0, 0, 0, 0.11);\n.bd-header {\n  position: sticky;\n  top: 0;\n  z-index: $zindex-fixed;\n\n  // Overrides bootstrap\n  background-color: var(--pst-color-on-background) !important;\n  box-shadow: 0 0.125rem 0.25rem 0 var(--pst-color-shadow);\n  width: 100%;\n  padding: 0;\n  max-width: 100vw;\n  justify-content: center;\n\n  .bd-header__inner {\n    display: flex;\n    align-items: center;\n    height: fit-content;\n    padding-left: 1rem;\n    padding-right: 1rem;\n  }\n\n  :focus-visible {\n    border-radius: $focus-ring-radius;\n  }\n\n  // These items will define the height of the header\n  .navbar-item {\n    height: var(--pst-header-height);\n    max-height: var(--pst-header-height);\n    display: flex;\n    align-items: center;\n  }\n\n  // Hide the navbar header items on mobile because they're in the sidebar\n  .navbar-header-items {\n    display: none;\n    flex-shrink: 1;\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: inherit;\n      flex-grow: 1;\n      padding: 0 0 0 0.5rem;\n    }\n  }\n\n  .navbar-header-items__end,\n  .navbar-header-items__center,\n  .navbar-header-items__start {\n    display: flex;\n    align-items: center;\n    flex-flow: wrap;\n\n    // In case we wrap our items to multiple rows on small screens\n    row-gap: 0;\n  }\n\n  .navbar-header-items__end,\n  .navbar-header-items__center {\n    column-gap: 1rem;\n  }\n\n  // A little smaller because this is displayed by default on mobile\n  .navbar-header-items__start {\n    flex-shrink: 0;\n    margin-right: auto;\n    gap: 0.5rem;\n  }\n\n  .navbar-header-items__end {\n    // End navbar items should snap to the right\n    justify-content: end;\n  }\n\n  // Contains the navigation links within the navbar\n  ul.navbar-nav {\n    display: flex;\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      // Align on wide screens so the dropdown button is centered properly\n      align-items: baseline;\n    }\n\n    > li.nav-item {\n      margin-inline: 2px; // breathing room so hover and focus styles do not overlap\n\n      > .nav-link {\n        @include link-style-block;\n\n        padding-inline: 6px;\n      }\n\n      &.current {\n        > .nav-link {\n          color: var(--pst-color-primary);\n\n          // Underline the current navbar item\n          &::before {\n            border-bottom: 3px solid var(--pst-color-primary);\n          }\n        }\n      }\n\n      &.dropdown {\n        margin-inline: 4px;\n\n        button {\n          padding-inline: 8px;\n        }\n\n        > .dropdown-toggle {\n          border-radius: $focus-ring-radius; // make border radius the same for both hover ring and focus ring\n          color: var(--pst-color-text-muted);\n\n          &:focus-visible {\n            box-shadow: $focus-ring-box-shadow;\n          }\n\n          &:hover {\n            text-decoration: none;\n            box-shadow: 0 0 0 $focus-ring-width var(--pst-color-link-hover); // purple focus ring\n            // Brighten the text on hover (muted -> base)\n            color: var(--pst-color-text-base);\n          }\n        }\n      }\n    }\n\n    li a.nav-link.dropdown-item {\n      @include link-style-text;\n    }\n\n    // Dropdowns for the extra links\n    .dropdown {\n      button {\n        display: unset;\n        border: none;\n\n        &:hover {\n          @include link-style-hover;\n        }\n      }\n\n      .dropdown-menu {\n        z-index: $zindex-popover;\n        border: 1px solid var(--pst-color-border);\n        box-shadow: 0 0 0.3rem 0.1rem var(--pst-color-shadow);\n        background-color: var(--pst-color-on-background);\n        padding: 0.5rem 0;\n        margin: 0.5rem 0;\n        min-width: 20rem;\n\n        .dropdown-item {\n          // Give the items in the dropdown some breathing room but let the hit\n          // and hover area of the items extend to the edges of the menu\n          padding: 0.25rem 1.5rem;\n\n          // Override Bootstrap\n          &:focus:not(:hover, :active) {\n            background-color: inherit;\n          }\n\n          &:focus-visible {\n            z-index: 10; // keep focus ring on top (prevent the hover background of the next dropdown item from covering the ring)\n          }\n        }\n\n        // Hide the menu unless show has been clicked\n        &:not(.show) {\n          display: none;\n        }\n      }\n    }\n  }\n\n  // **************************************************************\n  // Showing and hiding the sidebar toggle buttons and header items\n  // **************************************************************\n\n  // Toggle buttons\n  button.sidebar-toggle {\n    font-size: var(--pst-font-size-icon);\n    color: var(--pst-color-muted);\n    margin-bottom: 0;\n    background-color: inherit;\n    padding: 0.5rem;\n  }\n\n  button.primary-toggle {\n    margin-right: 1rem;\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  button.secondary-toggle {\n    margin-left: 1rem;\n\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      display: none;\n    }\n  }\n}\n\n// inline the element in the navbar as long as they fit and use display block when collapsing\n@include media-breakpoint-up($breakpoint-sidebar-primary) {\n  .navbar-center-items .navbar-item {\n    display: inline-block;\n  }\n}\n\n.nav-link {\n  &:hover {\n    @include link-style-hover;\n  }\n\n  // Override Bootstrap\n  transition: none;\n\n  &.nav-external::after {\n    font: var(--fa-font-solid);\n    content: var(--pst-icon-external-link);\n    font-size: 0.75em;\n    margin-left: 0.3em;\n  }\n}\n\n.bd-navbar-elements li.nav-item i {\n  font-size: 0.7rem;\n  padding-left: 2px;\n  vertical-align: middle;\n}\n\n// THe elements next to the hamburger menu only show on narrow screens\n.navbar-persistent--mobile {\n  margin-left: auto;\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: none;\n  }\n}\n\n// The navbar-persistent content should only show on wide screens\n.navbar-persistent--container {\n  display: none;\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: flex;\n  }\n}\n",".header-article__inner {\n  display: flex;\n  padding: 0 0.5rem;\n\n  // The items define the height so that it disappears if there are no items\n  .header-article-item {\n    min-height: var(--pst-header-article-height);\n    height: var(--pst-header-article-height);\n  }\n\n  .header-article-items__start,\n  .header-article-items__end {\n    display: flex;\n    align-items: start;\n    gap: 0.5rem;\n  }\n\n  .header-article-items__end {\n    margin-left: auto;\n  }\n}\n","/**\n * The primary sidebar on the left.\n * e.g., between-pages navigation.\n */\n\n$sidebar-padding-right: 1rem;\n\n.bd-sidebar-primary {\n  display: flex;\n  flex-direction: column;\n  gap: 1rem;\n  max-height: calc(100vh - var(--pst-header-height));\n  position: sticky;\n  top: var(--pst-header-height);\n\n  @include make-col(3);\n\n  // Borders padding and whitespace\n  padding: 2rem $sidebar-padding-right 1rem 1rem;\n  border-right: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n  font-size: var(--pst-sidebar-font-size-mobile);\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    font-size: var(--pst-sidebar-font-size);\n  }\n\n  :focus-visible {\n    border-radius: $focus-ring-radius;\n  }\n\n  // override bootstrap when navlink are displayed in the sidebar\n  .nav-link {\n    font-size: var(--pst-sidebar-font-size-mobile);\n  }\n\n  &.no-sidebar {\n    border-right: 0;\n  }\n\n  &.hide-on-wide {\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  // Headers shouldn't be colored in the sidebars and some extensions add headers\n  h1,\n  h2,\n  h3,\n  h4 {\n    color: var(--pst-color-text-base);\n  }\n\n  .sidebar-primary-items__start,\n  .sidebar-primary-items__end {\n    .sidebar-primary-item {\n      padding: 0.5rem 0;\n    }\n  }\n\n  // Hide the sidebar header items on widescreen since they are visible in the header\n  .sidebar-header-items {\n    display: flex;\n    flex-direction: column;\n\n    .sidebar-header-items__title {\n      font-weight: var(--pst-sidebar-header-font-weight);\n      font-size: var(--pst-sidebar-header-font-size);\n      color: var(--pst-color-text-base);\n      margin-bottom: 0.5rem;\n    }\n\n    // The dropdown toggle for extra links just shows them all instead.\n    .nav-item.dropdown {\n      // On mobile, the dropdown behaves like any other link, no hiding\n      button {\n        display: none;\n      }\n\n      .dropdown-menu {\n        display: flex;\n        flex-direction: column;\n        padding: 0;\n        margin: 0;\n        border: none;\n        background-color: inherit;\n        font-size: inherit;\n\n        .dropdown-item {\n          &:hover,\n          &:focus {\n            // In the mobile sidebar, the dropdown menu is inlined with the\n            // other links, which do not have background-color changes on hover\n            // and focus\n            background-color: unset;\n          }\n        }\n      }\n    }\n\n    .bd-navbar-elements {\n      .nav-link {\n        &:focus-visible {\n          box-shadow: none; // Override Bootstrap\n          outline: $focus-ring-outline;\n          outline-offset: $focus-ring-width;\n        }\n      }\n    }\n\n    // Center header items get displayed vertically, end items are displayed horizontally\n    .sidebar-header-items__center {\n      display: flex;\n      flex-direction: column;\n    }\n\n    // Positioning end items\n    .sidebar-header-items__end {\n      display: flex;\n      align-items: center;\n      gap: 1rem;\n    }\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  .sidebar-primary-items__start {\n    // Add a border on mobile to separate it from the header sidebar area\n    border-top: 1px solid var(--pst-color-border);\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      border-top: none;\n    }\n  }\n\n  .sidebar-primary-items__end {\n    margin-top: auto;\n    margin-bottom: 1em;\n  }\n\n  .list-caption {\n    list-style: none;\n    padding-left: 0;\n\n    // Level 0 TOC heading is put inside the <summary> tag\n    // so let the <summary> tag take up more space\n    li.toctree-l0.has-children {\n      > details {\n        > summary {\n          position: relative;\n          height: auto;\n          width: auto;\n          display: flex;\n          justify-content: space-between;\n          align-items: baseline;\n\n          .toctree-toggle {\n            // Prevent toggle icon from getting squished by summary being a\n            // flexbox\n            flex: 0 0 auto;\n\n            // Make the level 0 chevron icon slightly bigger than descendant\n            // levels\n            .fa-chevron-down {\n              font-size: 1rem;\n            }\n          }\n        }\n      }\n    }\n  }\n\n  li.has-children {\n    $toctree-toggle-width: 30px;\n\n    position: relative;\n\n    > .reference,\n    .caption {\n      margin-right: calc(\n        $toctree-toggle-width + $focus-ring-width\n      ); // keep clear of the toggle icon\n\n      padding-top: 0.25rem; // align caption text with toggle chevron\n    }\n\n    > details {\n      > summary {\n        // Remove browser default toggle icon\n        list-style: none;\n\n        &::-webkit-details-marker {\n          display: none;\n        }\n\n        // The summary element is natively focusable, but delegate the focus state to the toggle icon\n        &:focus-visible {\n          outline: none;\n\n          > .toctree-toggle {\n            outline: $focus-ring-outline;\n            outline-offset: -$focus-ring-width; // Prevent right side of focus ring from disappearing underneath the sidebar's right edge\n          }\n        }\n\n        // Container for expand/collapse chevron icon\n        .toctree-toggle {\n          cursor: pointer;\n\n          // Position it so that it's aligned with the top right corner of the\n          // last positioned element, in this case the li.has-children\n          position: absolute;\n          top: 0;\n          right: 0;\n\n          // Give it dimensions\n          width: $toctree-toggle-width;\n          height: $toctree-toggle-width; // make it square\n\n          // Vertically and horizontally center the icon within the container\n          display: inline-flex;\n          justify-content: center;\n          align-items: center;\n\n          .fa-chevron-down {\n            font-size: 0.75rem;\n          }\n        }\n      }\n\n      // The section is open/expanded, rotate the toggle icon (chevron) so it\n      // points up instead of down\n      &[open] {\n        > summary {\n          .fa-chevron-down {\n            transform: rotate(180deg);\n          }\n        }\n      }\n    }\n  }\n}\n\n/* Between-page links and captions */\nnav.bd-links {\n  margin-right: -$sidebar-padding-right; // align toctree toggle chevrons with right edge of sidebar and allow text to flow closer to the right edge\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: block;\n  }\n\n  ul {\n    display: block;\n    list-style: none;\n\n    // Reduce padding of nested `ul` items a bit\n    ul {\n      padding: 0 0 0 1rem;\n    }\n  }\n\n  li > a {\n    display: block;\n    padding: 0.25rem 0.65rem;\n\n    @include link-sidebar;\n\n    box-shadow: none;\n    margin-right: $focus-ring-width; // prevent the right side focus ring from disappearing under the sidebar right edge\n\n    &.reference.external {\n      &::after {\n        font: var(--fa-font-solid);\n        content: var(--pst-icon-external-link);\n        font-size: 0.75em;\n        margin-left: 0.3em;\n      }\n    }\n  }\n\n  .current > a {\n    @include link-sidebar-current;\n\n    background-color: transparent;\n  }\n\n  // Title\n  p.bd-links__title {\n    font-size: var(--pst-sidebar-header-font-size);\n    font-weight: var(--pst-sidebar-header-font-weight);\n    margin-bottom: 0.5rem;\n  }\n\n  // Toctree captions\n  p.caption {\n    font-weight: var(--pst-sidebar-header-font-weight);\n    position: relative;\n    margin-top: 1.25rem;\n    margin-bottom: 0.5rem;\n    color: var(--pst-color-text-base);\n\n    &:first-child {\n      margin-top: 0;\n    }\n\n    font-size: var(--pst-sidebar-font-size-mobile);\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      font-size: var(--pst-sidebar-font-size);\n    }\n  }\n}\n","// Grid system\n//\n// Generate semantic grid columns with these mixins.\n\n@mixin make-row($gutter: $grid-gutter-width) {\n  --#{$prefix}gutter-x: #{$gutter};\n  --#{$prefix}gutter-y: 0;\n  display: flex;\n  flex-wrap: wrap;\n  // TODO: Revisit calc order after https://github.com/react-bootstrap/react-bootstrap/issues/6039 is fixed\n  margin-top: calc(-1 * var(--#{$prefix}gutter-y)); // stylelint-disable-line function-disallowed-list\n  margin-right: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n}\n\n@mixin make-col-ready() {\n  // Add box sizing if only the grid is loaded\n  box-sizing: if(variable-exists(include-column-box-sizing) and $include-column-box-sizing, border-box, null);\n  // Prevent columns from becoming too narrow when at smaller grid tiers by\n  // always setting `width: 100%;`. This works because we set the width\n  // later on to override this initial width.\n  flex-shrink: 0;\n  width: 100%;\n  max-width: 100%; // Prevent `.col-auto`, `.col` (& responsive variants) from breaking out the grid\n  padding-right: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  padding-left: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  margin-top: var(--#{$prefix}gutter-y);\n}\n\n@mixin make-col($size: false, $columns: $grid-columns) {\n  @if $size {\n    flex: 0 0 auto;\n    width: percentage(divide($size, $columns));\n\n  } @else {\n    flex: 1 1 0;\n    max-width: 100%;\n  }\n}\n\n@mixin make-col-auto() {\n  flex: 0 0 auto;\n  width: auto;\n}\n\n@mixin make-col-offset($size, $columns: $grid-columns) {\n  $num: divide($size, $columns);\n  margin-left: if($num == 0, 0, percentage($num));\n}\n\n// Row columns\n//\n// Specify on a parent element(e.g., .row) to force immediate children into NN\n// number of columns. Supports wrapping to new lines, but does not do a Masonry\n// style grid.\n@mixin row-cols($count) {\n  > * {\n    flex: 0 0 auto;\n    width: percentage(divide(1, $count));\n  }\n}\n\n// Framework grid generation\n//\n// Used only by Bootstrap to generate the correct number of grid classes given\n// any value of `$grid-columns`.\n\n@mixin make-grid-columns($columns: $grid-columns, $gutter: $grid-gutter-width, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      // Provide basic `.col-{bp}` classes for equal-width flexbox columns\n      .col#{$infix} {\n        flex: 1 0 0%; // Flexbugs #4: https://github.com/philipwalton/flexbugs#flexbug-4\n      }\n\n      .row-cols#{$infix}-auto > * {\n        @include make-col-auto();\n      }\n\n      @if $grid-row-columns > 0 {\n        @for $i from 1 through $grid-row-columns {\n          .row-cols#{$infix}-#{$i} {\n            @include row-cols($i);\n          }\n        }\n      }\n\n      .col#{$infix}-auto {\n        @include make-col-auto();\n      }\n\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .col#{$infix}-#{$i} {\n            @include make-col($i, $columns);\n          }\n        }\n\n        // `$columns - 1` because offsetting by the width of an entire row isn't possible\n        @for $i from 0 through ($columns - 1) {\n          @if not ($infix == \"\" and $i == 0) { // Avoid emitting useless .offset-0\n            .offset#{$infix}-#{$i} {\n              @include make-col-offset($i, $columns);\n            }\n          }\n        }\n      }\n\n      // Gutters\n      //\n      // Make use of `.g-*`, `.gx-*` or `.gy-*` utilities to change spacing between the columns.\n      @each $key, $value in $gutters {\n        .g#{$infix}-#{$key},\n        .gx#{$infix}-#{$key} {\n          --#{$prefix}gutter-x: #{$value};\n        }\n\n        .g#{$infix}-#{$key},\n        .gy#{$infix}-#{$key} {\n          --#{$prefix}gutter-y: #{$value};\n        }\n      }\n    }\n  }\n}\n\n@mixin make-cssgrid($columns: $grid-columns, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .g-col#{$infix}-#{$i} {\n            grid-column: auto / span $i;\n          }\n        }\n\n        // Start with `1` because `0` is an invalid value.\n        // Ends with `$columns - 1` because offsetting by the width of an entire row isn't possible.\n        @for $i from 1 through ($columns - 1) {\n          .g-start#{$infix}-#{$i} {\n            grid-column-start: $i;\n          }\n        }\n      }\n    }\n  }\n}\n","/**\n * Secondary sidebar on the right.\n * e.g., in-page table of contents.\n */\n.bd-sidebar-secondary {\n  display: flex;\n  order: 2;\n  flex-shrink: 0;\n  flex-direction: column;\n  position: sticky;\n  top: var(--pst-header-height);\n  max-height: calc(100vh - var(--pst-header-height));\n  padding: 2rem 1rem 1rem;\n  width: var(--pst-sidebar-secondary);\n  font-size: var(--pst-sidebar-font-size-mobile);\n\n  @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n    font-size: var(--pst-sidebar-font-size);\n  }\n\n  // Color and border\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n}\n\n.sidebar-secondary-item {\n  padding: 0.5rem;\n\n  @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n    border-left: 1px solid var(--pst-color-border);\n    padding-left: 1rem;\n  }\n\n  i {\n    padding-right: 0.5rem;\n  }\n}\n","/*******************************************************************************\n* Rules for the UX/UI of sidebar sliding drawers on mobile\n* Note that this sheet controls styles across many parts of the theme\n* It is aggregated into this one sheet instead of being split across\n* components in order to keep it easier to debug in one place.\n* It is broken up into major sections below.\n*/\n\n/*******************************************************************************\n* Buttons and overlays\n*/\ninput.sidebar-toggle {\n  display: none;\n}\n\n// Background overlays\nlabel.overlay {\n  background-color: black;\n  opacity: 0.5;\n  height: 0;\n  width: 0;\n  position: fixed;\n  top: 0;\n  left: 0;\n  transition: opacity $animation-time ease-out;\n  z-index: $zindex-modal-backdrop;\n}\n\ninput {\n  // Show the correct overlay when its input is checked\n  &#pst-primary-sidebar-checkbox:checked + label.overlay.overlay-primary,\n  &#pst-secondary-sidebar-checkbox:checked + label.overlay.overlay-secondary {\n    height: 100vh;\n    width: 100vw;\n  }\n\n  // Primary sidebar slides in from the left\n  &#pst-primary-sidebar-checkbox:checked ~ .bd-container .bd-sidebar-primary {\n    visibility: visible;\n    margin-left: 0;\n  }\n\n  // Secondary sidebar slides in from the right\n  &#pst-secondary-sidebar-checkbox:checked\n    ~ .bd-container\n    .bd-sidebar-secondary {\n    visibility: visible;\n    margin-right: 0;\n  }\n}\n\n/*******************************************************************************\n* Sidebar drawer behavior\n*/\n\n/**\n * Behavior for sliding drawer elements that will be toggled with an input\n *\n * NOTE: We use this mixin to define the toggle behavior on narrow screens,\n * And the wide-screen behavior of the sections is defined in their own section\n * .scss files.\n */\n@mixin sliding-drawer($side: \"left\") {\n  position: fixed;\n  top: 0;\n  z-index: $zindex-modal;\n  height: 100vh;\n  max-height: 100vh;\n  width: 75%;\n  flex-grow: 0.75;\n  max-width: 350px;\n  transition:\n    visibility $animation-time ease-out,\n    margin $animation-time ease-out;\n  visibility: hidden;\n\n  @if $side == \"right\" {\n    margin-right: -75%;\n    right: 0;\n  } @else {\n    margin-left: -75%;\n    left: 0;\n  }\n}\n\n// Primary sidebar hides/shows at earlier widths\n@include media-breakpoint-up($breakpoint-sidebar-primary) {\n  .sidebar-toggle.primary-toggle {\n    display: none;\n  }\n\n  input#pst-primary-sidebar-checkbox {\n    &:checked + label.overlay.overlay-primary {\n      height: 0;\n      width: 0;\n    }\n  }\n\n  .bd-sidebar-primary {\n    margin-left: 0;\n    visibility: visible;\n  }\n}\n\n.bd-sidebar-primary {\n  @include media-breakpoint-down($breakpoint-sidebar-primary) {\n    @include sliding-drawer(\"left\");\n  }\n}\n\n.bd-sidebar-secondary {\n  @include media-breakpoint-down($breakpoint-sidebar-secondary) {\n    @include sliding-drawer(\"right\");\n  }\n}\n","/**\n * Breadcrumbs for parent pages meant for the article header\n */\nul.bd-breadcrumbs {\n  list-style: none;\n  padding-left: 0;\n  display: flex;\n  flex-wrap: wrap;\n\n  // Font size slightly smaller to avoid cluttering up space too much\n  font-size: 0.8rem;\n\n  li.breadcrumb-item {\n    display: flex;\n    align-items: center;\n\n    // Style should look like heavier in-page links\n    // keeping visited in the default link colour\n    font-weight: bold;\n\n    a {\n      @include link-style-text;\n    }\n\n    // Items that aren't the home have a caret to the left\n    &:not(.breadcrumb-home)::before {\n      font: var(--fa-font-solid);\n      font-size: 0.8rem;\n      content: var(--pst-breadcrumb-divider);\n      color: var(--pst-color-text-muted);\n      padding: 0 0.5rem;\n    }\n  }\n}\n","/**\n * Icon links in the navbar\n */\n\n.pst-navbar-icon {\n  // Extra specificity needed for overrides\n  html & {\n    @include min-hit-area;\n    @include link-style-block;\n\n    display: flex;\n    align-items: center;\n    justify-content: center;\n\n    // Bootstrap overrides\n    border-radius: 0;\n    border: none;\n    font-size: 1rem;\n    line-height: $line-height-body; // Override Boostrap, which defines a separate line-height for buttons\n    padding: $navbar-link-padding-y 0; // Horizontal white space in nav bar between items is controlled via column gap rule on the container.\n\n    // Make the navbar icon links have the same size as the navbar text links\n    height: calc(2 * $navbar-link-padding-y + $line-height-body * 1rem);\n  }\n}\n\nul.navbar-icon-links {\n  display: flex;\n  flex-flow: row wrap;\n  column-gap: 1rem;\n  justify-content: space-evenly;\n  align-items: center;\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n\n  // Icons styling\n  i {\n    &.fa-brands,\n    &.fa-regular,\n    &.fa-solid {\n      vertical-align: middle;\n      font-style: normal;\n      font-size: var(--pst-font-size-icon);\n    }\n\n    /* Social media buttons hard-code the brand color */\n    &.fa-square-twitter::before {\n      color: #55acee;\n    }\n\n    &.fa-square-gitlab::before {\n      color: #548;\n    }\n\n    &.fa-bitbucket::before {\n      color: #0052cc;\n    }\n  }\n\n  // Force images to be icon-sized\n  img.icon-link-image {\n    height: 1.5em;\n    border-radius: 0.2rem;\n  }\n\n  .fa-pydata {\n    stroke: var(--pst-color-background);\n    stroke-linejoin: round;\n    stroke-width: 0.35;\n  }\n}\n","/**\n * Logo in the navbar\n */\n\n.navbar-brand {\n  position: relative;\n  height: var(--pst-header-height);\n  max-height: var(--pst-header-height);\n  padding: 0.5rem 0;\n  width: auto;\n  margin: 0;\n  display: flex;\n\n  // Ensure that the logo stays the same length while other content shrinks\n  flex-shrink: 0;\n  align-items: center;\n  gap: 0.5rem;\n\n  // If there's no logo image, we use a p element w/ the site title\n  p {\n    color: var(--pst-color-text-base);\n    margin-bottom: 0;\n  }\n\n  // If there's a logo, it'll be in an img block\n  img {\n    max-width: 100%;\n    height: 100%;\n    width: auto;\n  }\n\n  &:hover,\n  &:visited:hover {\n    @include link-style-hover;\n\n    color: var(--pst-color-text-base);\n  }\n}\n","/**\n * Navigation links in the navbar and icon links\n */\nul.navbar-nav {\n  // Reduce padding of nested `ul` items a bit\n  ul {\n    padding: 0 0 0 1rem;\n  }\n\n  // Navbar links - do not have an underline by default\n  li {\n    display: flex;\n    flex-direction: column;\n\n    a {\n      display: flex;\n      align-items: center;\n      height: 100%;\n      padding-top: $navbar-link-padding-y;\n      padding-bottom: $navbar-link-padding-y;\n\n      @include link-style-text;\n    }\n  }\n}\n","/**\n * The list of in-page TOC links\n */\n.page-toc {\n  .section-nav {\n    padding-left: 0;\n    border-bottom: none;\n\n    ul {\n      padding-left: 1rem;\n    }\n  }\n\n  // override bootstrap settings\n  .nav-link {\n    font-size: var(--pst-sidebar-font-size-mobile);\n\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      font-size: var(--pst-sidebar-font-size);\n    }\n  }\n\n  .onthispage {\n    color: var(--pst-color-text-base);\n    font-weight: var(--pst-sidebar-header-font-weight);\n    margin-bottom: 0.5rem;\n  }\n}\n","/**\n* Previous / Next navigation buttons\n**/\n.prev-next-area {\n  width: 100%;\n\n  p {\n    color: var(--pst-color-text-muted);\n    margin: 0 0.3em;\n    line-height: 1.3em;\n  }\n\n  i {\n    font-size: 1.2em;\n  }\n\n  a {\n    // So that buttons align with icons\n    display: flex;\n    align-items: center;\n    border: none;\n    padding: 10px;\n    max-width: 45%;\n    overflow-x: hidden;\n    color: var(--pst-color-text-muted);\n    text-decoration: none;\n\n    p.prev-next-title {\n      @include link-style-default;\n\n      font-weight: var(--pst-admonition-font-weight-heading);\n      font-size: 1.1em;\n    }\n\n    &:hover,\n    &:visited:hover {\n      p.prev-next-title {\n        @include link-style-hover;\n      }\n    }\n\n    .prev-next-info {\n      flex-direction: column;\n      margin: 0 0.5em;\n\n      .prev-next-subtitle {\n        text-transform: capitalize;\n      }\n    }\n\n    &.left-prev {\n      float: left;\n    }\n\n    &.right-next {\n      float: right;\n\n      div.prev-next-info {\n        text-align: right;\n      }\n    }\n  }\n}\n","/**\n * Search field\n **/\n.bd-search {\n  position: relative;\n  padding-left: 0.5rem;\n  gap: 0.5rem;\n  background-color: var(--pst-color-background);\n  border-radius: $admonition-border-radius;\n  border: 1px solid var(--pst-color-border);\n  color: var(--pst-color-text-base);\n\n  // Background should always be same color regardless of active or not\n  &:active {\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-muted);\n  }\n\n  .icon {\n    position: absolute;\n    color: var(--pst-color-border);\n    left: 25px;\n  }\n\n  .fa-solid.fa-magnifying-glass {\n    position: absolute;\n    left: calc((2.5rem - 0.7em) / 2);\n    color: var(--pst-color-text-muted);\n  }\n\n  input {\n    // Inner-text of the search bar\n    &::placeholder {\n      color: var(--pst-color-text-muted);\n    }\n\n    // Remove the little \"x\" that pops up when you start typing\n    &::-webkit-search-cancel-button,\n    &::-webkit-search-decoration {\n      appearance: none;\n    }\n  }\n\n  // Shows off the keyboard shortcuts for the button\n  .search-button__kbd-shortcut {\n    display: flex;\n    position: absolute;\n    right: 0.5rem;\n    color: var(--pst-color-border);\n  }\n}\n\n.form-control {\n  background-color: var(--pst-color-background);\n  color: var(--pst-color-text-base);\n\n  &:focus,\n  &:focus-visible {\n    border: none;\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-muted);\n  }\n}\n\n/**\n * Search button - located in the navbar\n */\n\n// Search link icon should be a bit bigger since it is separate from icon links\n.search-button i {\n  font-size: 1.3rem;\n}\n\n// __search-container will only show up when we use the search pop-up bar\n.search-button__search-container,\n.search-button__overlay {\n  display: none;\n}\n\n.search-button__wrapper.show {\n  .search-button__search-container {\n    display: flex;\n\n    // Center in middle of screen just underneath header\n    position: fixed;\n    z-index: $zindex-modal;\n    top: 30%;\n    left: 50%;\n    transform: translate(-50%, -50%);\n    right: 1rem;\n    margin-top: 0.5rem;\n    width: 90%;\n    max-width: 800px;\n  }\n\n  .search-button__overlay {\n    display: flex;\n    position: fixed;\n    z-index: $zindex-modal-backdrop;\n    background-color: black;\n    opacity: 0.5;\n    width: 100%;\n    height: 100%;\n    top: 0;\n    left: 0;\n  }\n\n  form.bd-search {\n    flex-grow: 1;\n    padding-top: 0;\n    padding-bottom: 0;\n  }\n\n  // Font and input text a bit bigger\n  svg,\n  input {\n    font-size: var(--pst-font-size-icon);\n  }\n}\n\n/**\n * The search button component that looks like a field.\n * Lives at components/search-button-field.html\n */\n.search-button-field {\n  $search-button-border-radius: 1.5em;\n\n  display: inline-flex;\n  align-items: center;\n  border: var(--pst-color-border) solid 1px;\n  border-radius: $search-button-border-radius;\n  color: var(--pst-color-text-muted);\n  padding: 0.5em;\n  background-color: var(--pst-color-surface);\n\n  &:hover {\n    box-shadow: 0 0 0 $focus-ring-width var(--pst-color-link-hover);\n  }\n\n  &:focus-visible {\n    border-radius: $search-button-border-radius;\n  }\n\n  // The keyboard shotcut text\n  .search-button__default-text {\n    font-size: var(--bs-nav-link-font-size);\n    font-weight: var(--bs-nav-link-font-weight);\n    margin-right: 0.5em;\n    margin-left: 0.5em;\n  }\n\n  .kbd-shortcut__modifier {\n    font-size: 0.75em;\n  }\n\n  // Ensures that all the text lines up in the middle\n  > * {\n    align-items: center;\n  }\n\n  // Only the icon should be visible on narrow screens\n  > :not(svg) {\n    display: none;\n\n    @include media-breakpoint-up(lg) {\n      display: flex;\n    }\n  }\n}\n","/**\n * The 'Hide Search Matches' button.\n * This only shows up when a person lands on a page after clicking a search result.\n * Clicking it removes the highlighting of the search term from the page.\n * We want it to behave like a button.\n */\ndiv#searchbox {\n  // Leave `#searchbox` rules empty so that it doesn't show at all when it is empty\n  p.highlight-link {\n    margin: 1rem 0;\n    width: fit-content;\n\n    // A bit more margin on wide screens to mimic article behavior\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      margin-left: 2rem;\n    }\n\n    // Put outer shadow on this one so that we can darken the link w/ an inner shadow\n    @include box-shadow;\n\n    // Style the button to look like a Sphinx Design button\n    a {\n      border-radius: 0.25rem;\n      font-size: 1.25rem;\n      padding: 0.75rem;\n      background-color: var(--pst-color-primary);\n      color: var(--pst-color-primary-text);\n      text-decoration: none;\n\n      // The box shadow is inset so that it darkens the button on hover\n      transition: box-shadow 0.25s ease-out;\n\n      &:hover {\n        box-shadow: inset 0 0 50px 50px rgb(0 0 0 / 25%);\n      }\n\n      &::before {\n        content: var(--pst-icon-search-minus);\n        color: unset;\n        font: var(--fa-font-solid);\n        margin-right: 0.5rem;\n      }\n    }\n  }\n}\n","/**\n * Light/dark theme switcher\n */\n\n.theme-switch-button {\n  .theme-switch {\n    display: none;\n\n    &:active {\n      text-decoration: none;\n      color: var(--pst-color-link-hover);\n    }\n\n    .fa-lg {\n      aspect-ratio: 1 / 1;\n    }\n  }\n}\n\n@each $mode in auto, light, dark {\n  html[data-mode=\"#{$mode}\"]\n    .theme-switch-button\n    .theme-switch[data-mode=\"#{$mode}\"] {\n    display: inline; // inline needed for span height to be calculated using inherited font size and line height\n  }\n}\n","button.btn.version-switcher__button {\n  border-color: var(--pst-color-border);\n  color: var(--pst-color-text-base);\n\n  // Add a margin on narrow screens to avoid feeling cramped\n  margin-bottom: 1em;\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    margin-bottom: unset;\n  }\n\n  &:hover {\n    box-shadow: 0 0 0 $focus-ring-width var(--pst-color-secondary);\n    border-color: transparent;\n  }\n\n  &:active {\n    color: var(--pst-color-text-base);\n    border-color: var(--pst-color-border);\n  }\n\n  &:focus-visible {\n    border-color: transparent;\n  }\n}\n\n.version-switcher__menu {\n  border-color: var(--pst-color-border);\n  border-radius: var(--bs-dropdown-border-radius);\n\n  a.list-group-item {\n    background-color: var(--pst-color-on-background);\n    color: var(--pst-color-text-base);\n    padding: 0.75rem 1.25rem;\n\n    &:not(:last-child) {\n      border-bottom: 1px solid var(--pst-color-border);\n    }\n\n    &:hover {\n      @include link-style-hover;\n\n      background-color: var(--pst-color-surface);\n    }\n\n    &.active {\n      @include link-sidebar-current;\n\n      position: relative;\n      z-index: 1;\n\n      span::before {\n        content: \"\";\n        width: 100%;\n        height: 100%;\n        position: absolute;\n        z-index: -1;\n        left: 0;\n        top: 0;\n      }\n    }\n\n    &:focus-visible {\n      z-index: 10; // keep focus ring on top (prevent the hover background of the next dropdown item from covering the ring)\n    }\n  }\n}\n\n// Font behavior on mobile\nbutton.version-switcher__button,\n.version-switcher__menu {\n  font-size: 1.1em; // A bit smaller than other menu font\n  z-index: $zindex-modal; // higher than the sidebars\n\n  // Make sure it meets WCAG target size requirement no matter the version\n  // string displayed in the button\n  @include min-hit-area;\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    font-size: unset;\n  }\n}\n","/* Collapsing of the TOC sidebar while scrolling */\n\n/* Nav: hide second level (shown on .active) */\n\nnav.page-toc {\n  // A little extra space before the buttons\n  margin-bottom: 1rem;\n}\n\n.bd-toc .nav {\n  .nav {\n    display: none;\n\n    // So we can manually specify a level as visible in the config\n    &.visible {\n      display: block;\n    }\n  }\n\n  > .active > ul {\n    display: block;\n  }\n}\n\n// Each entry of the in-page TOC\n.toc-entry {\n  display: block;\n\n  a > code {\n    color: var(--pst-color-text-muted);\n  }\n\n  a.nav-link {\n    display: block;\n    padding: 0.125rem 0;\n\n    // Padding w/ negative margin so the top TOC item highlight overlaps w/ the TOC border\n    padding-left: 1rem;\n    margin-left: -1rem;\n\n    @include link-sidebar;\n\n    &.active {\n      @include link-sidebar-current;\n\n      background-color: transparent;\n\n      &:hover {\n        color: var(--pst-color-link-hover);\n      }\n    }\n\n    &:focus-visible {\n      border-radius: $focus-ring-radius;\n    }\n  }\n}\n","div.versionadded,\ndiv.versionchanged,\ndiv.deprecated {\n  vertical-align: middle;\n  margin: 1.5625em auto;\n  padding: 0 0.6rem;\n  overflow: hidden;\n\n  /* break-inside has replaced page-break-inside and is widely usable since 2019 */\n  page-break-inside: avoid;\n  break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: $admonition-border-radius;\n  background-color: var(--pst-color-on-background);\n\n  @include box-shadow;\n\n  position: relative;\n\n  > p {\n    margin-bottom: 0.6rem;\n    margin-top: 0.6rem;\n  }\n}\n\ndiv.versionadded {\n  border-color: var(--pst-color-success);\n  background-color: var(--pst-color-success-bg);\n}\n\ndiv.versionchanged {\n  border-color: var(--pst-color-warning);\n  background-color: var(--pst-color-warning-bg);\n}\n\ndiv.deprecated {\n  border-color: var(--pst-color-danger);\n  background-color: var(--pst-color-danger-bg);\n}\n\nspan.versionmodified {\n  font-weight: 600;\n\n  &::before {\n    margin-right: 0.6rem;\n    color: var(--pst-color-info);\n    font: var(--fa-font-solid);\n    content: var(--pst-icon-versionmodified-default);\n  }\n}\n\nspan.versionmodified.added {\n  &::before {\n    color: var(--pst-color-success);\n    content: var(--pst-icon-versionmodified-added);\n  }\n}\n\nspan.versionmodified.changed {\n  &::before {\n    color: var(--pst-color-warning);\n    content: var(--pst-icon-versionmodified-changed);\n  }\n}\n\nspan.versionmodified.deprecated {\n  &::before {\n    color: var(--pst-color-danger);\n    content: var(--pst-icon-versionmodified-deprecated);\n  }\n}\n",".sidebar-indices-items {\n  display: flex;\n  flex-direction: column;\n  border-top: 1px solid var(--pst-color-border);\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    border-top: none;\n  }\n\n  .sidebar-indices-items__title {\n    font-weight: var(--pst-sidebar-header-font-weight);\n    font-size: var(--pst-sidebar-header-font-size);\n    color: var(--pst-color-text-base);\n    margin-bottom: 0.5rem;\n  }\n\n  ul.indices-link {\n    margin-right: -1rem;\n    list-style: none;\n    padding: 0;\n\n    li > a {\n      display: block;\n      padding: 0.25rem 0;\n      color: var(--pst-color-text-muted);\n\n      &:hover {\n        color: var(--pst-color-primary);\n        text-decoration: none;\n        background-color: transparent;\n      }\n    }\n  }\n}\n",".bd-sidebar-primary div#rtd-footer-container {\n  position: sticky;\n  bottom: -1rem;\n  margin: -1rem; // ignore sidebar padding\n\n  .rst-versions.rst-badge {\n    position: unset;\n    font-size: 0.9em;\n    font-family: var(--pst-font-family-base);\n    max-width: unset;\n\n    .rst-current-version {\n      display: flex;\n      align-items: center;\n      gap: 0.2rem;\n      height: 2.5rem;\n      transition: background-color 0.2s ease-out;\n      background-color: var(--pst-color-background);\n      color: var(--pst-color-success);\n      border-top: 1px solid var(--pst-color-border);\n    }\n\n    .fa.fa-book {\n      color: var(--pst-color-text-muted);\n      margin-right: auto;\n\n      &::after {\n        color: var(--pst-color-text-base);\n        content: \"Read The Docs\";\n        font-family: var(--pst-font-family-base);\n        font-weight: var(--pst-admonition-font-weight-heading);\n      }\n    }\n\n    .fa.fa-caret-down {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  .rst-versions.rst-badge.shift-up {\n    .rst-current-version {\n      border-bottom: 1px solid var(--pst-color-border);\n    }\n  }\n\n  .rst-other-versions {\n    background-color: var(--pst-color-surface);\n    color: var(--pst-color-text-base);\n\n    dl {\n      dd a {\n        color: var(--pst-color-text-muted);\n      }\n    }\n\n    hr {\n      background-color: var(--pst-color-border);\n    }\n\n    small a {\n      color: var(--pst-color-link);\n    }\n\n    input {\n      padding-left: 0.5rem;\n      border: 1px solid var(--pst-color-border);\n      background-color: var(--pst-color-surface);\n    }\n  }\n}\n","/**\n * Admonitions and blocks of styled content.\n * Admonitions CSS originally inspired by https://squidfunk.github.io/mkdocs-material/getting-started/\n */\n$admonition-border-radius: 0.25rem;\n$admonition-left-border-width: 0.2rem;\n\ndiv.admonition,\n.admonition {\n  margin: 1.5625em auto;\n  padding: 0 0.6rem 0.8rem;\n  overflow: hidden;\n\n  /* break-inside has replaced page-break-inside and is widely usable since 2019 */\n  page-break-inside: avoid;\n  break-inside: avoid;\n  border-left: $admonition-left-border-width solid;\n  border-color: var(--pst-color-info);\n  border-radius: $admonition-border-radius;\n  background-color: var(--pst-color-on-background);\n\n  @include box-shadow;\n\n  // Last item should have no spacing since we'll control that w/ padding\n  *:last-child {\n    margin-bottom: 0;\n  }\n\n  // Items after the title should be indented\n  p.admonition-title ~ * {\n    margin-left: 1.4rem;\n    margin-right: 1.4rem;\n  }\n\n  // Lists need to have left margin so they don't spill into it\n  > ol,\n  > ul {\n    margin-left: 1em;\n  }\n\n  // Defaults for all admonitions\n  > .admonition-title {\n    margin: 0 -0.6rem;\n    padding: 0.4rem 0.6rem 0.4rem 2rem;\n    font-weight: var(--pst-admonition-font-weight-heading);\n    position: relative;\n\n    @include legacy-backdrop-placeholder;\n\n    background-color: var(--pst-color-info-bg);\n\n    // now that we use solid colors we want the title on top\n    z-index: 1;\n\n    &::after {\n      position: absolute;\n      left: 0.5rem;\n      width: 1rem;\n      height: 1rem;\n      color: var(--pst-color-info);\n      font: var(--fa-font-solid);\n      line-height: inherit;\n      content: var(--pst-icon-admonition-default);\n      opacity: 1;\n    }\n\n    // Next element after title needs some extra upper-space\n    + * {\n      margin-top: 0.4em;\n    }\n  }\n\n  &.attention {\n    border-color: var(--pst-color-attention);\n\n    > .admonition-title {\n      background-color: var(--pst-color-attention-bg);\n\n      &::after {\n        color: var(--pst-color-attention);\n        content: var(--pst-icon-admonition-attention);\n      }\n    }\n  }\n\n  &.caution {\n    border-color: var(--pst-color-warning);\n\n    > .admonition-title {\n      background-color: var(--pst-color-warning-bg);\n\n      &::after {\n        color: var(--pst-color-warning);\n        content: var(--pst-icon-admonition-caution);\n      }\n    }\n  }\n\n  &.warning {\n    border-color: var(--pst-color-warning);\n\n    > .admonition-title {\n      background-color: var(--pst-color-warning-bg);\n\n      &::after {\n        color: var(--pst-color-warning);\n        content: var(--pst-icon-admonition-warning);\n      }\n    }\n  }\n\n  &.danger {\n    border-color: var(--pst-color-danger);\n\n    > .admonition-title {\n      background-color: var(--pst-color-danger-bg);\n\n      &::after {\n        color: var(--pst-color-danger);\n        content: var(--pst-icon-admonition-danger);\n      }\n    }\n  }\n\n  &.error {\n    border-color: var(--pst-color-danger);\n\n    > .admonition-title {\n      background-color: var(--pst-color-danger-bg);\n\n      &::after {\n        color: var(--pst-color-danger);\n        content: var(--pst-icon-admonition-error);\n      }\n    }\n  }\n\n  &.hint {\n    border-color: var(--pst-color-success);\n\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &::after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-hint);\n      }\n    }\n  }\n\n  &.tip {\n    border-color: var(--pst-color-success);\n\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &::after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-tip);\n      }\n    }\n  }\n\n  &.important {\n    border-color: var(--pst-color-attention);\n\n    > .admonition-title {\n      background-color: var(--pst-color-attention-bg);\n\n      &::after {\n        color: var(--pst-color-attention);\n        content: var(--pst-icon-admonition-important);\n      }\n    }\n  }\n\n  &.note {\n    border-color: var(--pst-color-info);\n\n    > .admonition-title {\n      background-color: var(--pst-color-info-bg);\n\n      &::after {\n        color: var(--pst-color-info);\n        content: var(--pst-icon-admonition-note);\n      }\n    }\n  }\n\n  &.seealso {\n    border-color: var(--pst-color-success);\n\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &::after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-seealso);\n      }\n    }\n  }\n\n  &.admonition-todo {\n    border-color: var(--pst-color-secondary);\n\n    > .admonition-title {\n      background-color: var(--pst-color-secondary-bg);\n\n      &::after {\n        color: var(--pst-color-secondary);\n        content: var(--pst-icon-admonition-todo);\n      }\n    }\n  }\n\n  /**\n   * Special-case for a `sidebar` class that makes the admonition float to\n   * the right like the {sidebar} directive.\n   */\n  &.sidebar {\n    max-width: 40%;\n    float: right;\n    clear: both;\n    margin-left: 0.5rem;\n    margin-top: 0;\n\n    // Undo the .sidebar directive border\n    border-width: 0 0 0 $admonition-left-border-width;\n\n    // TODO: these semantic-color-names border-color rules might no longer be\n    //       needed when we drop support for Sphinx 4 / docutils 0.17\n    &.attention,\n    &.important {\n      border-color: var(--pst-color-attention);\n    }\n\n    &.caution,\n    &.warning {\n      border-color: var(--pst-color-warning);\n    }\n\n    &.danger,\n    &.error {\n      border-color: var(--pst-color-danger);\n    }\n\n    &.hint,\n    &.tip,\n    &.seealso {\n      border-color: var(--pst-color-success);\n    }\n\n    &.note,\n    &.todo {\n      border-color: var(--pst-color-info);\n    }\n\n    // No inner margin since we have less horizontal space w/ the sidebar\n    p.admonition-title ~ * {\n      margin-left: 0;\n      margin-right: 0;\n    }\n  }\n}\n\n/**************************************************************\n * Similar content blocks that are not technically admonitions.\n */\n\n/**\n * Topics and the {contents} directive\n */\n// Docutils <= 0.17\ndiv.topic,\ndiv.topic.contents,\n// Docutils >= 0.18\nnav.contents,\naside.topic {\n  display: flex;\n  flex-direction: column;\n  background-color: var(--pst-color-surface);\n  border-color: var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n  padding: 1rem 1.25rem;\n\n  @include box-shadow;\n\n  .topic-title {\n    margin: 0 0 0.5rem;\n  }\n\n  // Over-ride text color to ensure enough contrast\n  p {\n    color: var(--pst-color-on-surface) !important;\n  }\n\n  // Over-ride large default padding\n  ul.simple {\n    padding-left: 1rem;\n\n    ul {\n      // So that sub-lists will have a bit less padding\n      padding-left: 2em;\n    }\n  }\n}\n\n/**\n * Sidebar directive\n */\naside.sidebar {\n  border: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-surface);\n  border-radius: $admonition-border-radius;\n\n  // to match the admonition-styled sidebars:\n  margin-left: 0.5rem;\n  padding: 0;\n\n  > *:last-child {\n    padding-bottom: 1rem;\n  }\n\n  p.sidebar-title {\n    position: relative;\n    margin-bottom: 0;\n    padding-top: 0.5rem;\n    padding-bottom: 0.5rem;\n    border-bottom: 1px solid var(--pst-color-border);\n    font-family: var(--pst-font-family-heading);\n    font-weight: var(--pst-admonition-font-weight-heading);\n  }\n\n  // Add margin to the first non-`.sidebar-title` item\n  > *:not(.sidebar-title):first-child,\n  > p.sidebar-title + * {\n    margin-top: 1rem;\n  }\n\n  > * {\n    padding-left: 1rem;\n    padding-right: 1rem;\n  }\n}\n\n/**\n * Rubrics look kind of like section headers\n */\np.rubric {\n  display: flex;\n  flex-direction: column;\n}\n\n/**\n * Seealso is kind of like a vertically-collapsed admonition\n */\n.seealso dd {\n  margin-top: 0;\n  margin-bottom: 0;\n}\n","/**\n * Miscellaneous color functions and mixins\n**/\n\n@use \"sass:list\";\n@use \"sass:map\";\n@use \"sass:meta\";\n@use \"sass:math\";\n@use \"sass:string\";\n\n// We must add ::before pseudo-element to some theme components (such as admonitions)\n// because users were instructed to customize the background color this way.\n@mixin legacy-backdrop-placeholder {\n  &::before {\n    content: \"\";\n    width: 100%;\n    height: 100%;\n    position: absolute;\n    left: 0;\n    top: 0;\n    z-index: -1;\n\n    // So that hovering over the text within background is still possible.\n    // Otherwise the background overlays the text and you cannot click or select easily.\n    // ref: https://developer.mozilla.org/en-US/docs/Web/CSS/pointer-events\n    pointer-events: none;\n  }\n}\n\n/**\n* Function to get items from nested maps\n*/\n// @param {Map} $map - Map\n// @param {Arglist} $keys - Keys to fetc\n// @return {*}\n@function map-deep-get($map, $keys...) {\n  @each $key in $keys {\n    $map: map.get($map, $key);\n  }\n\n  @return $map;\n}\n\n/**\n  * Function to check if the color needs converting to a \"color\" type\n  * if it is a string we cannot use other color manipulation functions\n  * It is used to create the sphinx-design colours as these are often interpolated\n  */\n// @param {String/Color} $color - Color definition from map\n// @return {Color} - Color type (in hex)\n@function check-color($color) {\n  @if meta.type-of($color) == string {\n    $color: from-hex($color);\n  }\n\n  @return $color;\n}\n\n/**\n  * Function to convert the string representation of a color to a color type (hex)\n  */\n// @param {String} $string - String representation of a color\n@function from-hex($string) {\n  $string-lower: string.to-lower-case($string);\n  $r: \"\";\n  $g: \"\";\n  $b: \"\";\n  $hex: \"0\" \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\" \"8\" \"9\" \"a\" \"b\" \"c\" \"d\" \"e\" \"f\";\n  $length: string.length($string);\n  $max: if($length == 4, 1, 2);\n\n  // Check for length accuracy\n  @if $length != 4 and $length != 7 {\n    @return $string;\n  }\n\n  // Loop from the second character (omitting #)\n  @for $i from 2 through $length {\n    $c: string.slice($string-lower, $i, $i);\n\n    // If wrong character, return\n    @if not list.index($hex, $c) {\n      @return $string;\n    }\n\n    @if string.length($r) < $max {\n      $r: $r + $c;\n    } @else if string.length($g) < $max {\n      $g: $g + $c;\n    } @else if string.length($b) < $max {\n      $b: $b + $c;\n    }\n  }\n\n  @if $length == 4 {\n    $r: $r + $r;\n    $g: $g + $g;\n    $b: $b + $b;\n  }\n\n  @return rgb(hex-to-dec($r), hex-to-dec($g), hex-to-dec($b));\n}\n\n@function hex-to-dec($string) {\n  $hex: \"0\" \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\" \"8\" \"9\" \"a\" \"b\" \"c\" \"d\" \"e\" \"f\";\n  $string: string.to-lower-case($string);\n  $length: string.length($string);\n  $dec: 0;\n\n  @for $i from 1 through $length {\n    $factor: 1 + (15 * ($length - $i));\n    $index: list.index($hex, string.slice($string, $i, $i));\n    $dec: $dec + $factor * ($index - 1);\n  }\n\n  @return $dec;\n}\n","// Style API docs from sphinx' autodoc / autosummary\n\n/*******************************************************************************\n* Styling for field lists\n*/\n\n/* grey highlighting of 'parameter' and 'returns' field */\ntable.field-list {\n  border-collapse: separate;\n  border-spacing: 10px;\n  margin-left: 1px;\n\n  th.field-name {\n    padding: 1px 8px 1px 5px;\n    white-space: nowrap;\n    background-color: var(--pst-color-surface);\n  }\n\n  /* italic font for parameter types */\n  td.field-body {\n    p {\n      font-style: italic;\n\n      > strong {\n        font-style: normal;\n      }\n    }\n\n    /* reduced space around parameter description */\n    blockquote {\n      border-left: none;\n      margin: 0 0 0.3em;\n      padding-left: 30px;\n    }\n  }\n}\n\n/*******************************************************************************\n* Styling for autosummary tables\n*/\n\n.table.autosummary {\n  // The first column (with the signature) should not wrap\n  td:first-child {\n    white-space: nowrap;\n  }\n}\n\n/* overriding basic.css to use our own monospace font */\n.sig {\n  font-family: var(--pst-font-family-monospace);\n}\n\n/* C++ specific styling - overriding the basic.css to avoid custom colors */\n\n.sig-inline.c-texpr,\n.sig-inline.cpp-texpr {\n  font-family: unset;\n}\n\n.sig.c .k,\n.sig.c .kt,\n.sig.cpp .k,\n.sig.cpp .kt {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .m,\n.sig.cpp .m {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .s,\n.sig.c .sc,\n.sig.cpp .s,\n.sig.cpp .sc {\n  color: var(--pst-color-text-base);\n}\n\n// addition\n\n// .sig.c .sig-name .n,\n// .sig.cpp .sig-name .n {\n//   color: var(--pst-color-inline-code);\n// }\n\n.sig-name {\n  color: var(--pst-color-inline-code);\n}\n\n.sig-param .o,\n.sig-param .default_value {\n  color: var(--pst-color-text-muted);\n  font-weight: normal;\n}\n\n// change target color for dark theme\ndt:target,\nspan.highlighted {\n  background-color: var(--pst-color-target);\n}\n\n.viewcode-back {\n  font-family: var(--pst-font-family-base);\n}\n\n.viewcode-block:target {\n  border-top: 1px solid var(--pst-color-border);\n  border-bottom: 1px solid var(--pst-color-border);\n  position: relative;\n  background-color: var(--pst-color-target);\n}\n\ndl > dt > a:has(.viewcode-link) {\n  // Sphinx applies a `float:right` rule to the .viewcode-line span, which\n  // exposes a browser glitch in the focus ring. It seems the browser creates\n  // two separate boxes, an empty box where the anchor element gets laid out and\n  // then another box around the anchor's contents that have been floated right.\n  // Firefox draws the focus ring around the empty anchor element box. Chrome\n  // draws two focus rings: one around the empty anchor and one around the\n  // floated-right element. To fix the glitch, we apply the float rule on the\n  // parent rather than the child.\n  float: right;\n\n  .viewcode-link {\n    float: none;\n  }\n}\n\n/*******************************************************************************\n* Styling for autosummary titles like \"parameters\" and \"returns\"\n*/\n\n// the API selector\n// from https://github.com/pradyunsg/furo/blob/main/src/furo/assets/styles/content/_api.sass#L6)\ndl[class]:not(.option-list, .field-list, .footnote, .glossary, .simple) {\n  // increase margin bottom after the dl elements\n  margin-bottom: 3rem;\n\n  dd {\n    margin-left: 2rem;\n\n    // Fix until this will be solved to Sphinx https://github.com/sphinx-doc/sphinx/issues/10815\n    & > dl.simple > dt {\n      display: flex;\n    }\n  }\n\n  dl.field-list {\n    display: grid;\n    grid-template-columns: unset;\n  }\n\n  dt.field-odd,\n  dt.field-even {\n    margin-top: 0.2rem;\n    margin-bottom: 0.1rem;\n    background-color: var(--pst-color-surface);\n  }\n}\n","/**\n * Code block styling\n * Note that we inherit a lot of styling from Bootstrap so not many rules here.\n */\n\n// General code block behavior\n// Unset bootstrap behavior\ndiv[class*=\"highlight-\"],\ndiv.highlight,\ndiv.literal-block-wrapper {\n  display: flex;\n  flex-direction: column;\n  width: unset;\n  border-radius: $admonition-border-radius;\n  break-inside: avoid;\n}\n\n// Code blocks with captions\n// There's a wrapper when the code block has a title\ndiv.literal-block-wrapper {\n  border: 1px solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n\n  // This is where the title goes\n  div.code-block-caption {\n    margin: 0;\n    border-bottom: 1px solid var(--pst-color-border);\n    padding: 0.5rem;\n    font-size: 1rem;\n    font-weight: var(--pst-font-weight-caption);\n\n    a.headerlink {\n      font-size: inherit;\n    }\n  }\n\n  // Remove the upper border radius since we want it to connect with the title\n  // Remove the box shadow so the wrapper gets the shadow instead\n  div[class*=\"highlight-\"] {\n    margin: 0;\n    border-radius: 0;\n\n    pre {\n      border: none;\n      box-shadow: none;\n    }\n  }\n}\n\n/**\n * In-line code\n */\ncode.literal {\n  padding: 0.1rem 0.25rem;\n  background-color: var(--pst-color-surface);\n  border: 1px solid var(--pst-color-border);\n  border-radius: 0.25rem;\n}\n\na > code {\n  color: var(--pst-color-inline-code-links);\n}\n\n// Fix for Sphinx's \"highlight\" directive - this is an issue with our accessible pygments theme\n// and the colour we are using for the background of the code blocks.\nhtml[data-theme=\"light\"] .highlight .nf {\n  color: #0078a1 !important;\n}\n\n// Minimum opacity needed for linenos to be WCAG AA conformant\nspan.linenos {\n  opacity: 0.8 !important;\n}\n","figure > a,\nfigure > a > img,\nfigure > img,\nfigure > video {\n  display: block;\n  margin-left: auto;\n  margin-right: auto;\n}\n\nfigure {\n  a.headerlink {\n    // So that header link doesn't push caption to be off-center.\n    position: absolute;\n    font-size: inherit;\n  }\n\n  // Default headerlink hover doesn't trigger on figures\n  &:hover a.headerlink {\n    visibility: visible;\n  }\n\n  figcaption {\n    font-family: var(--pst-font-family-heading);\n    font-weight: var(--pst-font-weight-caption);\n    color: var(--pst-color-text-muted);\n    margin-left: auto;\n    margin-right: auto;\n    margin-top: 0.3rem;\n    text-align: center;\n\n    & > p:last-child {\n      // Don't add extra margin to already existing figure bottom margin\n      margin-bottom: 0;\n    }\n\n    p {\n      text-align: start;\n      display: inline-block;\n    }\n\n    table.table {\n      width: fit-content;\n      margin-left: auto;\n      margin-right: auto;\n    }\n  }\n}\n","// For consistency, add bracket around footnotes/citations which are\n// cited more than once. E.g. [Newton](1,2) instead of Newton(1,2)\ndt.label > span.brackets:not(:only-child)::before {\n  content: \"[\";\n}\n\ndt.label > span.brackets:not(:only-child)::after {\n  content: \"]\";\n}\n\n// Make footnote as a superscript\na.footnote-reference {\n  vertical-align: super;\n  font-size: small;\n}\n\n// Docutils 0.18 uses an `aside.footnote` container with different internal structure\naside.footnote {\n  margin-bottom: 0.5rem;\n\n  &:last-child {\n    margin-bottom: 1rem;\n  }\n\n  span.label,\n  span.backrefs {\n    font-weight: bold;\n  }\n\n  &:target {\n    background-color: var(--pst-color-target);\n  }\n}\n","/**\n * Hacky fixes that don't fit cleanly into other sections\n */\n\n// Ensure user highlighting/selecting behaves properly\n// From https://stackoverflow.com/a/34372191\ntable.highlighttable td.linenos,\nspan.linenos,\ndiv.doctest > div.highlight span.gp {\n  /* gp: Generic.Prompt */\n  user-select: none;\n}\n","// Override bootstrap by restoring the basic theme default.\ndd {\n  margin-top: 3px;\n  margin-bottom: 10px;\n  margin-left: 30px;\n}\n\nol,\nul {\n  padding-inline-start: 2rem;\n\n  li > p:first-child {\n    margin-bottom: 0.25rem;\n    margin-top: 0.25rem;\n  }\n}\n","// GitHub blockquote style\nblockquote {\n  padding: 1em;\n  color: var(--pst-color-text-muted);\n  border-left: 0.25em solid var(--pst-color-blockquote-notch);\n  border-radius: $admonition-border-radius;\n  position: relative;\n\n  p {\n    color: var(--pst-color-text-base);\n  }\n\n  // remove padding from included line-block to avoid duplication\n  .line-block {\n    margin: 0;\n  }\n\n  // remove margin bottom for the last p\n  p:last-child {\n    margin-bottom: 0;\n  }\n\n  @include legacy-backdrop-placeholder;\n\n  background-color: var(--pst-color-surface);\n\n  // Ensure there is enough contrast against the background\n  a {\n    color: var(--pst-color-inline-code-links);\n  }\n\n  // hack to make the text in the blockquote selectable\n  &::before {\n    z-index: -1;\n  }\n}\n","/**\n * Span-level styling within content\n */\n\nspan.guilabel {\n  border: 1px solid var(--pst-color-info);\n  font-size: 80%;\n  font-weight: 700;\n  border-radius: 4px;\n  padding: 2.4px 6px;\n  margin: auto 2px;\n  position: relative;\n\n  @include legacy-backdrop-placeholder;\n\n  background-color: var(--pst-color-info-bg);\n}\n\na.reference.download::before {\n  content: var(--pst-icon-download);\n  font: var(--fa-font-solid);\n  font-size: 0.8em;\n  padding: 0 0.25em;\n  color: var(--pst-color-text-muted);\n}\n","/**\n * Tables\n */\n\ntable {\n  // default to table-center\n  margin-left: auto;\n  margin-right: auto;\n\n  &.table-right {\n    margin-right: 0;\n  }\n\n  &.table-left {\n    margin-left: 0;\n  }\n}\n\n// customize table caption from bootstrap\n// to display them on top and centered\ntable caption {\n  text-align: center;\n  caption-side: top;\n  color: var(--pst-color-text-muted);\n}\n\n// MyST Markdown tables use these classes to control alignment\nth,\ntd {\n  &.text-left {\n    text-align: left;\n  }\n\n  &.text-right {\n    text-align: right;\n  }\n\n  &.text-center {\n    text-align: center;\n  }\n}\n\n// override bootstrap table colors\n.table {\n  @include table-colors;\n\n  --bs-table-bg: transparent; // background\n  --bs-table-color: var(\n    --pst-color-text-base\n  ); // ensure text and bullets are visible\n}\n\n.pst-scrollable-table-container {\n  // Put a horizontal scrollbar just below tables that are too wide to fit\n  // within the main column\n  overflow-x: auto;\n}\n","/**\n * Style the toctree component in pages (avoid modifying the navbars)\n */\n.toctree-wrapper {\n  p.caption {\n    font-size: 1.5em;\n    margin-bottom: 0;\n  }\n\n  & > ul {\n    padding-left: 0;\n  }\n\n  li[class^=\"toctree-l\"] {\n    list-style: none;\n    margin-bottom: 0.2em;\n\n    & > a {\n      list-style: none;\n      font-size: 1.1em;\n    }\n\n    & > ul {\n      list-style: none;\n      padding-inline-start: 1.5em;\n    }\n  }\n\n  // slightly bigger font for l1\n  .toctree-l1 > a {\n    font-size: 1.3em;\n  }\n}\n\ndiv.topic.contents,  // Docutils <= 0.17\nnav.contents  // Docutils >= 0.18\n{\n  // Style similarly to toctree\n  ul.simple {\n    list-style: none;\n    padding-left: 0;\n  }\n}\n","/**\n * Mathematics via MathJax.\n *\n * This is designed for MathJax v3\n * ref: https://www.sphinx-doc.org/en/master/usage/extensions/math.html#module-sphinx.ext.mathjax\n */\n\n// Applies to all math elements\nspan.math,\ndiv.math {\n  align-items: center;\n  display: flex;\n  max-width: 100%;\n\n  // This will be over-ridden for the y-direction and divs\n  overflow: hidden;\n}\n\n// Inline-only\nspan.math {\n  display: inline-flex;\n}\n\n// Block-level only\ndiv.math {\n  gap: 0.5em;\n\n  // So that the eqno shows up after the equation\n  flex-direction: row-reverse;\n\n  // The equation number / link\n  span.eqno a.headerlink {\n    position: relative;\n    font-size: 1em;\n  }\n\n  // The math container\n  mjx-container {\n    flex-grow: 1;\n    padding-bottom: 0.2rem;\n    overflow: auto;\n\n    // Set height to 0 so that it does not cause scrollbars to appear\n    // ref: https://github.com/mathjax/MathJax/issues/2521\n    mjx-assistive-mml {\n      height: 0;\n    }\n  }\n}\n","/**\n * ABlog\n * ref: https://ablog.readthedocs.io/\n */\n\n/**\n * Sidebar template components\n */\n.ablog-sidebar-item {\n  h2,\n  h3 {\n    font-size: var(--pst-sidebar-header-font-size);\n\n    // Remove unnecessary vertical whitespace\n    margin-top: 0.5rem;\n\n    // The headers are all links, but this makes them hard to parse\n    // So we change the colors to make them look like headers\n    a {\n      color: var(--pst-color-text-base);\n    }\n  }\n\n  ul {\n    // No bullet points for the primary sidebar items\n    list-style: none;\n    padding-left: 0;\n\n    // Otherwise a scrollbar randomly shows up\n    overflow-y: hidden;\n\n    // List of recent post items\n    display: flex;\n    flex-direction: column;\n    gap: 0.5em;\n    margin-bottom: 0;\n\n    // The ablog cloud should move horizontally\n    &.ablog-cloud {\n      flex-flow: row wrap;\n      gap: 0.5rem;\n\n      // Vertical-align tag clouds\n      li {\n        // Center the tag cloud items\n        display: flex;\n        align-items: center;\n      }\n    }\n  }\n}\n\n/**\n * Previous / next buttons at the bottom\n */\n.ablog__prev-next {\n  font-size: 1.2em;\n  display: flex;\n  padding: 1rem 0;\n\n  // The bottom previous / next arrows\n  > span {\n    // To ensure that the whole thing fits on one line even if there are long titles\n    display: flex;\n    max-width: 45%;\n\n    // Links within each span have the collection of icon + text\n    a {\n      display: flex;\n      align-items: center;\n      margin-left: auto;\n      gap: 1rem;\n      line-height: 1.5rem;\n\n      i::before {\n        color: var(--pst-color-text-base);\n      }\n    }\n  }\n\n  // The first span is for the previous page and aligns to the left\n  span.ablog__prev {\n    i.fa-arrow-circle-left::before {\n      content: var(--pst-icon-angle-left);\n    }\n  }\n\n  // The second span is just an empty space so we remove it because we're\n  // positioning with flex\n  span.ablog__spacer {\n    display: none;\n  }\n\n  // The third span is aligned to the right\n  span.ablog__next {\n    margin-left: auto;\n    text-align: right;\n\n    i.fa-arrow-circle-right::before {\n      content: var(--pst-icon-angle-right);\n    }\n  }\n}\n\n/**\n * {postlist} directive and posts page\n */\n.ablog__collection,\n.postlist {\n  padding-left: 0;\n\n  .ablog-post {\n    list-style: none;\n\n    // Post metadata tags (author, links ,etc) should be a bit smaller\n    .ablog-archive {\n      display: flex;\n      flex-flow: row wrap;\n      gap: 1rem;\n      list-style: none;\n      font-size: 0.75rem;\n      padding-left: 0;\n    }\n\n    // Title line should be a bit bigger and bold to stand out\n    .ablog-post-title {\n      margin-top: 0;\n      font-size: 1.25rem;\n\n      a {\n        font-weight: bold;\n      }\n    }\n\n    // Read more button should be a bit bigger\n    .ablog-post-expand {\n      margin-bottom: 0.5rem;\n    }\n  }\n}\n","/**\n * Special cases for Bootstrap functionality\n */\n\n// Bootstrap adds margin to their general container class. However, sphinx/docutils\n// can also generate output with the container class, but in those cases we should\n// not add the margin from bootstrap. Same for max-width.\n.docutils.container {\n  padding-left: unset;\n  padding-right: unset;\n  margin-left: unset;\n  margin-right: unset;\n  max-width: unset;\n  width: unset;\n}\n\n.btn {\n  --bs-btn-focus-box-shadow: #{$btn-focus-box-shadow};\n}\n","/**\n * Sphinx Copybutton\n * ref: https://sphinx-copybutton.readthedocs.io/\n */\n\ndiv.highlight button.copybtn {\n  // Nicer spacing\n  display: flex;\n  align-items: center;\n  justify-content: center;\n\n  // Don't over-ride the success color\n  &:not(.success) {\n    color: var(--pst-color-muted);\n  }\n\n  border: none;\n  background-color: var(--pst-color-surface);\n\n  &:hover {\n    &:not(.success) {\n      color: var(--pst-color-text);\n      background-color: var(--pst-color-shadow);\n    }\n  }\n\n  // Tooltip styling\n  &.o-tooltip--left::after {\n    color: var(--pst-color-text);\n    background-color: var(--pst-color-surface);\n  }\n\n  &:focus {\n    // For keyboard users, make the copy button visible when focussed.\n    opacity: 1;\n  }\n\n  &:focus-visible {\n    outline: $focus-ring-outline;\n  }\n}\n\ndiv.highlight:has(button.copybtn) {\n  // Make sure the code block has enough height for the copy button.\n  // Sphinx-copybutton sets 0.3em top offset plus 1.7em height:\n  // https://github.com/executablebooks/sphinx-copybutton/blob/master/sphinx_copybutton/_static/copybutton.css\n  min-height: 2em;\n}\n","// adapt ethical ad to the theme\n#ethical-ad-placement {\n  .ethical-sidebar a,\n  .ethical-sidebar a:visited,\n  .ethical-sidebar a:hover,\n  .ethical-sidebar a:active,\n  .ethical-footer a,\n  .ethical-footer a:visited,\n  .ethical-footer a:hover,\n  .ethical-footer a:active {\n    color: var(--pst-color-text-base);\n  }\n\n  .ethical-sidebar,\n  .ethical-footer {\n    background-color: var(--pst-color-background);\n    border: 1px solid var(--pst-color-border);\n    border-radius: 5px;\n    color: var(--pst-color-text-base);\n    font-size: 14px;\n    line-height: 20px;\n  }\n}\n","/**\n * Styles for various Sphinx execution libraries.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n\n/******************************************************************************\n * Jupyter Sphinx\n */\n\n.bd-content div.jupyter_container {\n  // We don't want borders around the whole container, just around code cells\n  border: none;\n  background-color: unset;\n  box-shadow: none;\n\n  // Code cells should have the same style as our other code objects\n  div.output,\n  div.highlight {\n    border-radius: 0.25rem;\n  }\n\n  div.highlight {\n    background-color: var(--pst-color-surface);\n  }\n\n  // Ensure the style is the same as our code cells. Jupyter Sphinx makes it tiny.\n  .cell_input,\n  .cell_output {\n    border-radius: 0.25rem;\n\n    pre {\n      padding: 1rem;\n    }\n  }\n}\n","/* Styles for graphviz generated output from Sphinx */\n\n/* Style the inheritance diagram such that it has a dark mode */\nhtml[data-theme=\"dark\"] div.graphviz > object.inheritance {\n  filter: brightness(0.8) invert(0.82) contrast(1.2);\n  color-scheme: normal;\n}\n","/**\n * Special-cases for packages in the PyData ecosystem\n */\n\n// xarray output display in bootstrap\n.xr-wrap[hidden] {\n  display: block !important;\n}\n\n// ipywidgets\n.jp-OutputArea-output.lm-Widget {\n  // override overflow:hidden rule from Lumino (.lm-Widget) to allow scrolling\n  overflow: auto;\n}\n","/*******************************************************************************\n * Special-cases for the sphinx-design library, mainly to make it compatible\n * with the dark/light themes of pydata-sphinx-theme.\n *\n * NOTE: sphinx-design uses !important quite liberally, so here we must do the\n * same for our overrides to have any effect.\n */\n@use \"../variables/color\" as pst-color;\n@use \"sass:color\";\n@use \"sass:map\";\n@use \"sass:meta\";\n@use \"sass:string\";\n\n/*******************************************************************************\n  * Color and variables\n  *\n  * This is a list of the semantic color names from sphinx-design (we only\n  * need to override variables that sphinx-design has actually defined).\n  * https://github.com/executablebooks/sphinx-design/blob/9226a12a/style/_colors.scss#L31-L43\n  */\n$sd-semantic-color-names: (\n  \"primary\",\n  \"secondary\",\n  \"success\",\n  \"info\",\n  \"warning\",\n  \"danger\",\n  \"light\",\n  \"muted\",\n  \"dark\",\n  \"black\",\n  \"white\"\n);\n\n/**\n  * Here we create some extra --pst-color-* variables and use\n  * them to override the value of the corresponding sphinx-design variables.\n  * This is easier than re-writing the sphinx-design rules. Even easier would be\n  * directly assigning our values to the --sd-color-* variables, but then our\n  * downstream users couldn't override *our* colors and have it affect buttons\n  * and badges.\n  *\n  * First, define the extra keys needed to cover the full range of semantic\n  * color names used in sphinx-design, then merge them with the names we\n  * already define for our own needs.\n  * see https://sphinx-design.readthedocs.io/en/latest/css_variables.html\n  */\n$extra-semantic-colors: (\n  \"white\": $foundation-white,\n  \"light\": (\n    light: $foundation-light-gray,\n    bg-light: color.scale($foundation-light-gray, $lightness: 30%),\n    dark: $foundation-light-gray,\n    bg-dark: color.scale($foundation-light-gray, $lightness: -30%),\n  ),\n  \"muted\": (\n    light: $foundation-muted-gray,\n    bg-light: color.scale($foundation-muted-gray, $lightness: 30%),\n    dark: $foundation-light-gray,\n    bg-dark: color.scale($foundation-muted-gray, $lightness: -30%),\n  ),\n  \"dark\": $foundation-dark-gray,\n  \"black\": $foundation-black,\n);\n$all-colors: map.merge($pst-semantic-colors, $extra-semantic-colors);\n\n@mixin create-sd-colors($value, $name) {\n  // define the pst variables, so that downstream user overrides will work\n  --pst-color-#{$name}: #{$value};\n\n  // we are now using a11y-combination to calculate the text color - this is based\n  // on the WCAG color contrast guidelines\n  --pst-color-#{$name}-text: #{a11y-combination($value)};\n\n  // TODO: highlight seems to be used for buttons @trallard to fix on a11y follow-up work\n  --pst-color-#{$name}-highlight: #{color.adjust($value, $lightness: -15%)};\n\n  // override the sphinx-design variables\n  --sd-color-#{$name}: var(--pst-color-#{$name});\n  --sd-color-#{$name}-text: var(--pst-color-#{$name}-text);\n\n  // TODO: highlight seems to be used for buttons @trallard to fix on a11y follow-up work\n  --sd-color-#{$name}-highlight: var(--pst-color-#{$name}-highlight);\n}\n\n// Now we override the --sd-color-* variables.\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    // check if this color is defined differently for light/dark\n    @each $name in $sd-semantic-color-names {\n      $definition: map.get($all-colors, $name);\n\n      @if meta.type-of($definition) == map {\n        @each $key, $value in $definition {\n          @if string.index($key, $mode) {\n            // since now we define the bg colours in the semantic colours and not\n            // by changing opacity, we need to check if the key contains bg and the\n            // correct mode (light/dark)\n            @if string.index($key, \"bg\") {\n              --sd-color-#{$name}-bg: #{$value};\n\n              // create local variable\n              $value: check-color($value);\n\n              --sd-color-#{$name}-bg-text: #{a11y-combination($value)};\n            } @else {\n              $value: check-color($value);\n\n              @include create-sd-colors($value, $name);\n            }\n          }\n        }\n      } @else {\n        $value: map.get($all-colors, $name);\n\n        @include create-sd-colors($value, $name);\n      }\n    }\n  }\n}\n\n// Make sure the color border variables are set using our variables\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    --sd-color-card-border: var(--pst-color-border);\n  }\n}\n\n/*******************************************************************************\n  * shadows\n  */\nhtml[data-theme=\"light\"] {\n  .sd-shadow-xs,\n  .sd-shadow-sm,\n  .sd-shadow-md,\n  .sd-shadow-lg {\n    @include box-shadow;\n  }\n}\n\n/*******************************************************************************\n  * cards\n  */\n\n.bd-content .sd-card {\n  border: 1px solid var(--pst-color-border);\n\n  // TODO - --pst-color-panel-background is not defined... where is this coming from?\n  .sd-card-header {\n    background-color: var(--pst-color-panel-background);\n    border-bottom: 1px solid var(--pst-color-border);\n  }\n\n  .sd-card-footer {\n    background-color: var(--pst-color-panel-background);\n    border-top: 1px solid var(--pst-color-border);\n  }\n\n  .sd-card-body {\n    background-color: var(--pst-color-panel-background);\n  }\n\n  // Focus ring for link-cards\n  .sd-stretched-link:focus-visible {\n    // Don't put the focus ring on the <a> element (it has zero height in Sphinx Design cards)\n    outline: none;\n\n    // Put the focus ring on the <a> element's ::after pseudo-element\n    &::after {\n      outline: $focus-ring-outline;\n      border-radius: 0.25rem; // copied from Sphinx Design CSS for .sd-card\n    }\n  }\n\n  &.sd-card-hover:hover {\n    border-color: var(--pst-color-link-hover);\n  }\n}\n\n/*******************************************************************************\n  * tabs\n  */\n\n.bd-content .sd-tab-set {\n  > input {\n    // Active tab label\n    &:checked + label {\n      border-style: solid solid none;\n      border-color: var(--pst-color-primary) var(--pst-color-primary)\n        transparent; // top LR bottom\n\n      border-width: 0.125rem 0.125rem 0;\n      border-radius: 0.125rem 0.125rem 0 0;\n      background-color: var(--pst-color-on-background);\n      transform: translateY(0.125rem);\n      color: var(--pst-color-primary);\n    }\n\n    &:focus-visible + label {\n      border: 0.125rem solid var(--pst-color-accent);\n      border-radius: 0.125rem;\n      background-color: var(--pst-color-accent-bg);\n      color: var(--pst-color-on-surface);\n    }\n\n    // Hover label\n    &:not(:checked, :focus-visible) + label:hover {\n      border-color: transparent;\n      color: var(--pst-color-secondary);\n      text-decoration-line: underline;\n      text-decoration-thickness: $link-hover-decoration-thickness;\n    }\n  }\n\n  // Tab label\n  > label {\n    color: var(--pst-color-on-surface);\n    border: 0.125rem solid transparent;\n    border-radius: 0.125rem 0.125rem 0 0;\n    background-color: var(--pst-color-surface);\n    padding: 0 0.75em;\n    margin-inline-end: 0.25rem;\n    line-height: 1.95;\n\n    html[data-theme=\"dark\"] & {\n      background-color: var(--pst-color-on-background);\n    }\n  }\n\n  // panel\n  .sd-tab-content {\n    border: 0.125rem solid var(--pst-color-primary);\n    border-radius: 0.1875rem;\n    box-shadow: unset;\n    padding: 0.625rem;\n    background-color: var(--pst-color-on-background);\n  }\n}\n\n/*******************************************************************************\n* Dropdowns\n*/\n\ndetails.sd-dropdown {\n  // Remove all borders to over-ride SD behavior, and we'll add our own later\n  border: 0 !important;\n\n  // Drop shadow should behave same as admonitions\n  @include box-shadow;\n\n  // Header is where the \"clickable\" box goes\n  summary.sd-card-header {\n    border: 0 !important;\n    display: flex;\n    align-items: center;\n    position: relative; // So background color works\n    font-weight: 600;\n    padding-top: 0.5rem;\n    padding-bottom: 0.5rem;\n\n    // Set a variable that we can re-use for colors later\n    // We must set this in the current and content sibling container\n    // so that it is defined in both places\n    --pst-sd-dropdown-color: var(--pst-gray-500);\n    --pst-sd-dropdown-bg-color: var(--pst-color-surface);\n\n    & + div.sd-summary-content {\n      border: 0;\n\n      --pst-sd-dropdown-color: var(--sd-color-card-border);\n    }\n\n    @each $name in $sd-semantic-color-names {\n      &.sd-bg-#{$name} {\n        --pst-sd-dropdown-color: var(--sd-color-#{$name});\n        --pst-sd-dropdown-bg-color: var(--sd-color-#{$name}-bg);\n\n        // Otherwise it won't be defined in the sibling element\n        & + div.sd-summary-content {\n          --pst-sd-dropdown-color: var(--sd-color-#{$name});\n          --pst-sd-dropdown-bg-color: var(--sd-color-#{$name}-bg);\n        }\n      }\n      &.sd-bg-text-#{$name} {\n        // Use the WCAG conformant text color\n        color: var(--sd-color-#{$name}-bg-text) !important;\n      }\n    }\n\n    @include legacy-backdrop-placeholder;\n\n    background-color: var(--pst-sd-dropdown-bg-color) !important;\n\n    // Add a left border with the same structure as our admonitions\n    border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n\n    // stylelint-disable-next-line no-duplicate-selectors\n    & + div.sd-summary-content {\n      border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n      border-bottom-left-radius: calc(0.25rem - 1px);\n      background-color: var(--pst-color-on-background);\n    }\n\n    span.sd-summary-icon {\n      display: inline-flex;\n      align-items: center;\n      color: var(--pst-sd-dropdown-color) !important;\n\n      svg {\n        opacity: 1;\n      }\n    }\n\n    // Positioning of the caret\n    .sd-summary-up,\n    .sd-summary-down {\n      top: 0.7rem;\n    }\n\n    // Focus ring\n    &:focus-visible {\n      outline: $focus-ring-outline;\n      outline-offset: -$focus-ring-width;\n    }\n  }\n}\n\n/*******************************************************************************\n* Buttons (which in Sphinx Design are actually links that look like buttons)\n* ref: https://sphinx-design.readthedocs.io/en/pydata-theme/badges_buttons.html#buttons\n*/\nhtml {\n  .sd-btn {\n    min-width: 2.25rem;\n    padding: 0.3125rem 0.75rem 0.4375rem; // 5px 12px 7px\n\n    &:hover {\n      @include link-style-hover; // override Sphinx Design\n\n      text-decoration-thickness: 1px;\n    }\n  }\n\n  @each $name in $sd-semantic-color-names {\n    .sd-btn-#{$name},\n    .sd-btn-outline-#{$name} {\n      &:focus-visible {\n        // Override Sphinx Design's use of -highlight colors. The -highlight\n        // colors are 15% darker, so this would create the effect of darkening\n        // the button when focused but we just want the button to have a focus\n        // ring of the same (non-highlight) color.\n        background-color: var(--sd-color-#{$name}) !important;\n        border-color: var(--sd-color-#{$name}) !important;\n        outline: var(--sd-color-#{$name}) solid $focus-ring-width;\n        outline-offset: $focus-ring-width;\n      }\n    }\n  }\n}\n","/**\n * Sphinx togglebutton\n */\n\n.bd-content {\n  @mixin chevron-down {\n    .toggle-chevron-right {\n      transform: rotate(90deg); // point chevron down\n      transition: none; // match non-animated behavior of other chevrons on site\n    }\n  }\n\n  @mixin chevron-up {\n    .toggle-chevron-right {\n      transform: rotate(-90deg); // point chevron up\n      transition: none; // match non-animated behavior of other chevrons on site\n    }\n  }\n\n  // Admonition toggles\n  .admonition {\n    button.toggle-button {\n      color: inherit;\n\n      // When disclosure widget is closed\n      &.toggle-button-hidden {\n        @include chevron-down;\n      }\n\n      // When open\n      @include chevron-up;\n    }\n\n    // Focus ring\n    // ----------\n    // Sphinx-togglebutton makes the entire admonition header clickable, but\n    // only the button within the header is focusable. We want the entire\n    // clickable area to be surrounded with a focus ring, so that's why we use\n    // the :focus-within selector, rather than a :focus-visible selector on the\n    // button.\n    &:focus-within {\n      overflow: visible;\n\n      // The complicated focus ring styles here are a consequence of the markup\n      // and border styles for this particular admonition class. (For the other\n      // type of admonition on this site, the focus ring style is achieved with\n      // simple `outline` and `outline-offset` rules on the admonition's\n      // header.) The problem is that Sphinx-togglebutton puts the admonition's\n      // left border on the outermost container (rather than separately setting\n      // the left border on the container's children). This makes it complicated\n      // to get the focus ring to simultaneously cover the left border in the\n      // header and align perfectly on the right with the body.\n      .admonition-title:focus-within::before {\n        content: \"\";\n        transform: translateX(\n          -$admonition-left-border-width\n        ); // align left edges of admonition and ring\n\n        width: calc(100% + $admonition-left-border-width); // align right edges\n        height: 100%;\n        border: $focus-ring-outline;\n        border-radius: $focus-ring-width;\n      }\n\n      // When expanded, sharpen the bottom left and right corners of the focus ring\n      &:not(.toggle-hidden) .admonition-title:focus-within::before {\n        border-bottom-left-radius: 0;\n        border-bottom-right-radius: 0;\n      }\n    }\n  }\n\n  // Details buttons\n  details.toggle-details {\n    // Over-ride border color to re-use our primary color\n    summary {\n      border-left: 3px solid var(--pst-color-primary);\n\n      @include chevron-down;\n    }\n\n    // When expanded, sharpen the bottom left and right corners of the focus ring\n    &[open] {\n      @include chevron-up;\n\n      :focus-visible {\n        border-bottom-left-radius: 0;\n        border-bottom-right-radius: 0;\n      }\n    }\n  }\n}\n","/**\n * Styles for various Sphinx execution libraries to display pre-executed notebooks.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n\n/*******************************************************************************\n * nbsphinx\n */\nhtml div.rendered_html,\n// NBsphinx ipywidgets output selector\nhtml .jp-RenderedHTMLCommon {\n  // Add some margin around the element box for the focus ring. Otherwise the\n  // focus ring gets clipped because the containing elements have `overflow:\n  // hidden` applied to them (via the `.lm-Widget` selector)\n  margin: $focus-ring-width;\n\n  table {\n    table-layout: auto;\n  }\n}\n\n.bd-content .nboutput {\n  .output_area {\n    &.rendered_html,\n    .jp-RenderedHTMLCommon {\n      // pandas\n      table.dataframe {\n        @include table-colors;\n      }\n    }\n\n    // Dark theme special-cases\n    html[data-theme=\"dark\"] & {\n      &.rendered_html:not(:has(table.dataframe)),\n      // ipywidgets\n      .widget-subarea {\n        @include cell-output-background;\n      }\n\n      &.stderr {\n        background-color: var(--pst-color-danger);\n      }\n    }\n  }\n}\n\n// Add extra padding to the final item in an nbsphinx container\ndiv.nblast.container {\n  margin-bottom: 1rem;\n}\n\n/*******************************************************************************\n * myst NB\n */\n\ndiv.cell_output .output {\n  max-width: 100%;\n  overflow-x: auto;\n}\n\n.bd-content div.cell_output {\n  // pandas\n  table.dataframe {\n    @include table-colors;\n  }\n\n  html[data-theme=\"dark\"] & {\n    img,\n    .text_html:not(:has(table.dataframe)),\n    // ipywidgets\n    .widget-subarea {\n      @include cell-output-background;\n    }\n  }\n}\n\n// Prevent tables from scrunching together\n.bd-content {\n  div.cell_input {\n    display: flex;\n    flex-direction: column;\n    justify-content: stretch;\n  }\n\n  div.cell_input,\n  div.output {\n    border-radius: $admonition-border-radius;\n  }\n\n  div.output {\n    table {\n      table-layout: auto;\n    }\n  }\n}\n","/**\n * style for the various mapping libs based on leaflet (folium, geemap, ipyleaflet)\n * mainly ensure the good display of the maps in both themes and avoid the customization\n * of the tiles\n */\n\n/**\n * avoid border override from pydata-sphinx-theme\n * minimal selctor to get the priority\n */\nhtml[data-theme=\"dark\"] .bd-content img.leaflet-tile.leaflet-tile-loaded {\n  border-radius: 0;\n  padding: 0;\n}\n","/**\n * /search.html page special-cases\n */\n\n.bd-search-container {\n  /*******************************************\n  * Search results\n  */\n  // Whitespace\n  div#search-results {\n    > h2 {\n      font-size: var(--pst-font-size-icon);\n      margin-top: 1rem;\n    }\n\n    p.search-summary {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  ul.search {\n    margin: 0;\n    list-style: none;\n\n    li {\n      background-image: none;\n      padding: 1rem 0;\n      margin: 1rem 0;\n      border-top: 1px solid var(--pst-color-text-muted);\n\n      // First link is the page title, it should be a bit bigger\n      > a {\n        font-size: 1.2em;\n      }\n\n      div.context,\n      p.context {\n        color: var(--pst-color-text-base);\n        margin: 0.5em 0 0;\n\n        // Add a # before page section titles to make it clear they are sections\n        a::before {\n          content: \"#\";\n          padding-right: 0.2em;\n          color: var(--pst-color-text-muted);\n        }\n      }\n    }\n  }\n}\n"],"names":[],"sourceRoot":""}
\ No newline at end of file
diff --git a/_static/styles/sphinx-book-theme.css b/_static/styles/sphinx-book-theme.css
index e514f24..5197540 100644
--- a/_static/styles/sphinx-book-theme.css
+++ b/_static/styles/sphinx-book-theme.css
@@ -5,4 +5,5 @@
  *
  * This follows the 7-1 pattern described here:
  * https://sass-guidelin.es/#architecture
- */html{--pst-font-size-base:none}html[data-theme=light]{--sbt-color-announcement:#616161}html[data-theme=dark],html[data-theme=light]{--pst-color-primary:#579aca}html{scroll-padding-top:4rem}.sbt-scroll-pixel-helper{position:absolute;width:0;height:0;top:0;left:0}.d-n,.onlyprint{display:none}@media print{.onlyprint{display:block!important}}@media print{.noprint{display:none!important}}.bd-article-container h1,.bd-article-container h2,.bd-article-container h3,.bd-article-container h4,.bd-article-container h5,.bd-article-container p.caption{color:var(--pst-color-muted)}.bd-article-container h1,.bd-article-container h2{font-weight:500}a.brackets:before{color:inherit;font-family:inherit;margin-right:0}table{position:relative}@media print{.bd-main .bd-content{margin-left:2rem;height:auto}.bd-main .bd-content #jb-print-docs-body{margin-left:0}.bd-main .bd-content #jb-print-docs-body h1{font-size:3em;text-align:center;margin-bottom:0}.bd-main .bd-content .bd-article{padding-top:0}.bd-main .bd-content .bd-article h1:first-of-type{display:none}.bd-main .bd-content .container{min-width:0!important}.bd-main .bd-content h1{margin-top:1em;margin-bottom:1em}.bd-main .bd-content h1,.bd-main .bd-content h2,.bd-main .bd-content h3,.bd-main .bd-content h4{break-after:avoid;color:#000}.bd-main .bd-content table{break-inside:avoid}.bd-main .bd-content pre{word-wrap:break-word}.bd-main .bd-content a.headerlink{display:none}.bd-main .bd-content aside.margin,.bd-main .bd-content aside.sidebar,.bd-main .bd-content blockquote.epigraph{border:none}.bd-main .bd-content .footer{margin-top:1em}.bd-main .bd-content #jb-print-toc{margin-bottom:1.5rem;margin-left:0}.bd-main .bd-content #jb-print-toc .section-nav{border-left:0!important;list-style-type:disc!important;margin-left:3em!important}.bd-main .bd-content #jb-print-toc .section-nav a{text-decoration:none!important}.bd-main .bd-content #jb-print-toc .section-nav li{display:list-item!important}.bd-main .bd-content #jb-print-toc 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1em;\n        margin-bottom: 1em;\n      }\n      h1,\n      h2,\n      h3,\n      h4 {\n        break-after: avoid;\n        color: black;\n      }\n\n      table {\n        break-inside: avoid;\n      }\n\n      pre {\n        word-wrap: break-word;\n      }\n\n      a.headerlink {\n        display: none;\n      }\n\n      // Remove borders to save some ink\n      blockquote.epigraph,\n      aside.margin,\n      aside.sidebar {\n        border: none;\n      }\n\n      .footer {\n        margin-top: 1em;\n      }\n      // Print-only table of contents\n      #jb-print-toc {\n        margin-bottom: 1.5rem;\n        margin-left: 0rem;\n        .section-nav {\n          border-left: 0px !important;\n          list-style-type: disc !important;\n          margin-left: 3em !important;\n          a {\n            text-decoration: none !important;\n          }\n          li {\n            display: list-item !important;\n          }\n          .nav {\n            display: none;\n          }\n  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 details.above-input,\n  details.below-input {\n    summary {\n      border-left: 3px solid var(--pst-color-primary);\n    }\n  }\n}\n","/*********************************************\n* Top Bar *\n*********************************************/\n/**\n * Mixin:\n * Header behavior on mobile\n */\n@mixin header-height-mobile {\n  @media (max-width: $breakpoint-md) {\n    height: $header-article-height + 0.5rem;\n  }\n}\n\n/**\n * Sidebar toggle over-rides for PST\n */\n// Primary toggle is always visible\nbutton.sidebar-toggle.primary-toggle {\n  @media (min-width: $breakpoint-md) {\n    display: inline-block;\n  }\n  @media (max-width: $breakpoint-md) {\n    margin-bottom: 0px;\n  }\n}\n\n// Secondary toggle mimics behavior of \"persistent header\" div of PST\nbutton.sidebar-toggle.secondary-toggle {\n  @media (min-width: $breakpoint-xl) {\n    display: none;\n  }\n  @media (max-width: $breakpoint-md) {\n    margin-bottom: 0px;\n  }\n}\n\n// Wrapper container\n.bd-header-article {\n  display: flex;\n  align-items: center;\n  position: sticky;\n  top: 0;\n  background-color: var(--pst-color-background);\n  transition: left 0.2s;\n  font-size: 0.9em;\n  padding: 0 1rem;\n\n  @media (max-width: $breakpoint-md) {\n    // Give mobile view a bit more space for text\n    padding: 0 0.5rem;\n  }\n  z-index: $zindex-sticky;\n\n  @include header-height-mobile;\n\n  // The box shadow that shows up when you've scrolled past the top\n  .scrolled & {\n    box-shadow: 0 6px 6px -6px var(--pst-color-shadow);\n  }\n\n  // Remove inner padding so that spacing of buttons is a bit tighter\n  .header-article__inner {\n    padding: 0;\n  }\n\n  // Inner container with items in it\n  .header-article-items {\n    display: flex;\n    align-items: center;\n    height: $header-article-height;\n    width: 100%;\n  }\n\n  // Contains the individual item components so we want it centered\n  .header-article-item {\n    display: flex;\n    align-items: center;\n  }\n\n  /**\n  * Buttons in the header\n  */\n  // A series of buttons we special-case in the theme\n  .article-header-buttons {\n    display: flex;\n  }\n\n  // Generic button styles\n  .btn {\n    // Basic button size\n    font-size: 1.3rem;\n    color: var(--pst-color-text-muted);\n    border: none;\n    padding-left: 0.5rem;\n    padding-right: 0.5rem;\n\n    // Make sure anything inside is aligned vertically\n    display: flex;\n    align-items: center;\n\n    // Fix width of buttons so they're all the same\n    svg {\n      width: 1.3rem;\n    }\n\n    // Hover / active behavior\n    &.show,\n    &:hover {\n      color: var(--pst-color-text-base);\n      border: none;\n      & + .dropdown-menu {\n        display: block;\n      }\n    }\n    &:focus {\n      box-shadow: none;\n    }\n\n    &.dropdown-toggle {\n      // Hide the bootstrap caret\n      &:after {\n        display: none;\n      }\n    }\n  }\n\n  // Vertically align dropdown buttons\n  div.dropdown {\n    display: flex;\n    align-items: center;\n  }\n\n  .theme-switch-button {\n    // Removing some special-casing that was needed in PST\n    margin: 0;\n\n    // Remove extra padding since it is already there between sidebar items\n    span,\n    i,\n    button {\n      padding: 0;\n    }\n\n    // No background on hover. Need important to over-ride the PST which uses it too.\n    span,\n    i {\n      transition: color $animation-time ease-out;\n    }\n    &:active,\n    &:hover {\n      background-color: unset !important;\n      span,\n      i {\n        color: var(--pst-color-text-base);\n      }\n    }\n  }\n\n  // The menu that is normally hidden until you hover\n  .dropdown-menu {\n    // Hidden unless we are hovering\n    &:hover {\n      display: block;\n    }\n\n    // Positioning and layout of dropdown items to be standardized\n    top: 2rem;\n    transform: translateX(-75%);\n    @include pst-box-shadow;\n\n    // Color and shadowing\n    border-color: var(--pst-color-border);\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-muted);\n\n    .dropdown-item {\n      display: inline-flex;\n      align-items: center;\n      padding-left: 0.5em;\n\n      // To prevent link underline from showing up\n      &:hover {\n        text-decoration: none;\n        background-color: initial;\n        color: var(--pst-color-text-base);\n      }\n\n      // Slightly smaller font for everything\n      font-size: 1em;\n\n      // Image icons should be the same height as <i> icons\n      span img {\n        height: 1em;\n      }\n\n      span.btn__icon-container {\n        width: 1.7em;\n        align-items: center;\n        display: inline-flex;\n        justify-content: center;\n      }\n    }\n  }\n}\n","/*********************************************\n* SASS Mixins\n*********************************************/\n/**\n* Hide the scrollbar until the element is hovered, so keep the page clean\n* Use this sparingly because it's not a great UX pattern.\n*/\n@mixin scrollbar-on-hover() {\n  &:not(:hover) {\n    &::-webkit-scrollbar-thumb {\n      visibility: hidden;\n    }\n  }\n}\n\n/**\n * The PyData Sphinx Theme box shadow rule\n * Copied here in csae we need to re-use.\n*/\n@mixin pst-box-shadow() {\n  box-shadow:\n    0 0.2rem 0.5rem var(--pst-color-shadow),\n    0 0 0.0625rem var(--pst-color-shadow) !important;\n}\n",".bd-header {\n  // Turn off sticky positioning so that it scrolls\n  position: inherit;\n\n  // Turn these off because we'll show it in the article header\n  // The primary sidebar toggle\n  button.sidebar-toggle {\n    display: none;\n  }\n}\n","/*********************************************\n* Left Nav Bar *\n*********************************************/\n\n.bd-sidebar-primary {\n  // So that it sticks to the top of the page instead of the header height\n  top: 0;\n  max-height: 100vh;\n\n  // Tighter padding so the spacing is more equal\n  padding: 1rem;\n\n  // Draw open/close animation\n  transition:\n    margin-left $animation-time ease 0s,\n    opacity $animation-time ease 0s,\n    visibility $animation-time ease 0s;\n\n  @media (max-width: $breakpoint-md) {\n    // So that tooltips don't overlap\n    z-index: $zindex-tooltip + 1;\n  }\n\n  // Remove the top border since there's often no header items above\n  .sidebar-primary-items__start {\n    border-top: none;\n  }\n\n  // On wide screens we have a smaller sidebar width than PST\n  @media (min-width: $breakpoint-lg) {\n    flex-basis: $sidebar-primary-width-widescreen;\n  }\n}\n\n// Default visibility for left sidebar is the reverse of what it is on mobile.\n// It is shown by default, and hidden with a click.\n// Mobile behavior is defined in the pydata sphinx theme\n@media (min-width: $breakpoint-lg) {\n  input#pst-primary-sidebar-checkbox:checked\n    ~ .bd-container\n    .bd-sidebar-primary {\n    margin-left: -$sidebar-primary-width-widescreen;\n    visibility: hidden;\n    opacity: 0;\n  }\n}\n","/*********************************************\n* Table of Contents (right nav bar)          *\n*********************************************/\n\n.bd-sidebar-secondary {\n  // So that it sticks to the top of the page instead of the header height\n  top: 0;\n\n  @media (max-width: $breakpoint-xl) {\n    // So that tooltips don't overlap\n    z-index: $zindex-tooltip + 1;\n  }\n\n  // So that we can center the TOC button with the article header buttons\n  .sidebar-secondary-items {\n    padding: 0;\n    display: flex;\n    gap: 0.5rem;\n\n    // Remove the manual padding since we'll use `gap`\n    .sidebar-secondary-item {\n      padding-top: 0;\n      padding-bottom: 0;\n    }\n  }\n\n  // The 'on this page' title div should take up the full header\n  .onthispage {\n    height: $header-article-height;\n    min-height: $header-article-height;\n    display: flex;\n    gap: 0.5rem;\n    align-items: center;\n    margin: 0;\n    color: var(--pst-color-muted);\n  }\n\n  // Wide screen behavior\n  @media (min-width: $breakpoint-xl) {\n    background: var(--pst-color-background);\n    height: fit-content;\n    transition: max-height 0.4s ease;\n\n    // To make sure it shows above the page content\n    z-index: $zindex-middle;\n\n    // Remove padding so that it's flush on the top and left\n    padding: 0;\n\n    // This is the container div for the secondary sidebar nav\n    .toc-item {\n      // Border is a bit less prominent\n      border-left-color: var(--pst-color-surface);\n      // Flush with the top so that we can fix the height of the toc header div\n      padding-top: 0;\n\n      // The table of contents <ul> after the title div\n      nav.page-toc {\n        // Remove extra margin the PST adds for other sidebar items\n        margin-bottom: 0;\n\n        // Items after \"on this page' should fade in and out\n        transition: opacity 0.4s ease;\n      }\n    }\n\n    // Rules for when sidebar is hidden\n    // the `not:hover` means that hovering over the sidebar will show it again.\n    &.hide:not(:hover) {\n      // Cap the height, and remove the scrollbar\n      max-height: $header-article-height;\n      overflow-y: hidden;\n\n      // Shadow matches what we have in the article header\n      .scrolled & {\n        box-shadow: 0 6px 6px -6px rgba(0, 0, 0, 0.3);\n      }\n\n      // Show a down carot\n      .onthispage:after {\n        opacity: 1;\n        content: \"\\f107\";\n        font-family: \"Font Awesome 5 Free\";\n        font-weight: 900;\n        padding-left: 0.5em;\n        transition: opacity 0.3s ease;\n      }\n\n      // The page-toc list is hidden\n      nav.page-toc {\n        opacity: 0;\n      }\n    }\n  }\n}\n","/*********************************************\n* Footer - content *\n*********************************************/\nfooter {\n  font-size: var(--sbt-font-size-small-1);\n  &.bd-footer-content {\n    display: flex;\n    flex-wrap: wrap;\n    padding: 15px;\n    border-top: 1px solid #ccc;\n    font-size: $sbt-font-size-small-1;\n    .bd-footer-content__inner {\n      padding-left: 0px;\n      p {\n        margin-bottom: 0px;\n      }\n    }\n  }\n}\n",".bd-footer-article {\n  padding: 0rem 1rem;\n  @media (max-width: $breakpoint-md) {\n    // More room for text on mobile\n    padding: 0rem 0.5rem;\n  }\n}\n","#pst-back-to-top {\n  // We should only display the back-to-top button when the TOC is not available.\n  // AKA, on narrow-ish screens.\n  // This over-rides a PST default\n  @media (min-width: $breakpoint-xl) {\n    display: none !important;\n  }\n\n  // Reduce size to be slightly less intrusive on the page\n  font-size: 0.8rem;\n}\n","/**\n * Icon links design for the primary sidebar, where it defaults in this theme.\n */\n.bd-sidebar-primary {\n  .navbar-icon-links {\n    column-gap: 0.5rem;\n\n    .nav-link {\n      // There are few kinds of elements that can be icon links and each is different\n      i,\n      span {\n        font-size: 1.2rem;\n      }\n\n      // Images usually fill more vertical space so we make them a bit smaller\n      img {\n        font-size: 0.8rem;\n      }\n    }\n  }\n}\n",".navbar-brand {\n  height: unset;\n  max-height: unset;\n\n  // Auto-center the image and title and make items vertical\n  flex-direction: column;\n  justify-content: center;\n  gap: 0.25rem;\n\n  // To prevent site text from having underlines\n  &:hover {\n    text-decoration: none;\n  }\n  .logo__title {\n    font-size: 1.25rem;\n    white-space: normal;\n    text-align: center;\n  }\n  // Prevent images from stretching vertically\n  .logo__image {\n    height: unset;\n  }\n}\n","// Clean up the search page so that it has less unnecessary text\n.bd-search-container {\n  margin: 2em;\n\n  #search-results {\n    h2:first-child {\n      display: none;\n    }\n  }\n}\n\n// Sidebar search button field\n.search-button-field {\n  width: 100%;\n  font-size: 0.9rem;\n  // Hide by default and we'll add a rule to show it on wide sreen below\n  display: none;\n\n  .search-button__kbd-shortcut {\n    margin-left: auto;\n  }\n}\n\n// Rules to switch off visibility of the field button and the header button\n@media (min-width: $breakpoint-lg) {\n  .search-button {\n    display: none !important;\n  }\n\n  .search-button-field {\n    display: flex;\n  }\n}\n\n// The \"clear search results\" button\n// Make it line up with our content better\ndiv#searchbox {\n  padding-right: 2rem;\n  padding-left: 2rem;\n  @media (max-width: $breakpoint-md) {\n    padding-right: 1rem;\n    padding-left: 1rem;\n  }\n\n  p.highlight-link {\n    // Remove the extra margin that is added\n    @media (min-width: $breakpoint-md) {\n      margin-left: 0;\n      a {\n        font-size: 1rem;\n      }\n    }\n  }\n}\n","// Images\nimg {\n  max-width: 100%;\n\n  &.align-center {\n    margin-left: auto;\n    margin-right: auto;\n    display: block;\n  }\n\n  &.align-left {\n    clear: left;\n    float: left;\n    margin-right: 1em;\n  }\n\n  &.align-right {\n    clear: right;\n    float: right;\n    margin-left: 1em;\n  }\n}\n\n// Figures\ndiv.figure {\n  width: 100%;\n  margin-bottom: 1em;\n  text-align: center;\n\n  &.align-left {\n    text-align: left;\n    p.caption {\n      margin-left: 0;\n    }\n  }\n  &.align-right {\n    text-align: right;\n    p.caption {\n      margin-right: 0;\n    }\n  }\n\n  p.caption {\n    margin: 0.5em 10%;\n  }\n\n  &.margin,\n  &.margin-caption {\n    p.caption {\n      margin: 0.5em 0;\n    }\n  }\n\n  &.margin-caption p.caption {\n    text-align: left;\n  }\n\n  span.caption-number {\n    font-weight: bold;\n  }\n\n  span {\n    font-size: 0.9rem;\n  }\n}\n","/**\n * Margin content\n * This is the area to the right of the main content\n * normally covered by the in-page table of contents\n * but if `.margin` classes are present, it shows up to the right in the margin\n * and the in-page TOC is hidden.\n * On narrow screens, margin content behaves like a sidebar\n */\n\n/**\n * Variables for calculating margin widths\n */\n// We want our margin content to be 1/3 the width of the main page content\n// after factoring in a small margin\n$margin-width-relative-to-content: 36%;\n$margin-gutter: 3%;\n$margin-width-width-gutter: $margin-width-relative-to-content - $margin-gutter;\n\n// re-subtract the gutter width because we want it to leave a white-space\n// This is how much to offset the margin content.\n$margin-offset: -$margin-width-relative-to-content;\n\n/**\n * This mixin will cause something to \"pop out\" to the margin on wide screens\n */\n@mixin margin-content() {\n  // On narrow screens this is the width of margin content\n  width: 40%;\n  float: right;\n  background-color: unset;\n  font-size: 0.9em;\n  margin-left: 0.5rem;\n\n  // Wide screens and printing should force margin behavior\n  @media (min-width: $breakpoint-lg), print {\n    width: $margin-width-width-gutter;\n    margin: 0 $margin-offset 0 0;\n\n    // Prevent sequential margin content from overlapping\n    clear: right;\n\n    p.sidebar-title {\n      margin-bottom: -1rem;\n      border-bottom: none;\n      padding-left: 0px;\n\n      // Content of admonitions has fewer horizontal white space to save space\n      ~ * {\n        padding-left: 0px;\n        padding-right: 0px;\n      }\n    }\n  }\n}\n\n/**\n * Sidenotes and marginnotes\n * over-rides the \"footnote\" behavior to pop out to the margin instead.\n */\nlabel.margin-toggle {\n  margin-bottom: 0em;\n  &.marginnote-label {\n    display: none;\n  }\n  sup {\n    user-select: none;\n  }\n  @media (max-width: $breakpoint-lg) {\n    cursor: pointer;\n    color: rgb(0, 113, 188);\n    &.marginnote-label {\n      display: inline;\n      &:after {\n        content: \"\\2295\";\n      }\n    }\n  }\n}\n\ninput.margin-toggle {\n  display: none;\n  @media (max-width: $breakpoint-lg) {\n    &:checked + .sidenote,\n    &:checked + .marginnote {\n      display: block;\n      float: left;\n      left: 1rem;\n      clear: both;\n      width: 95%;\n      margin: 1rem 2.5%;\n      position: relative;\n    }\n  }\n}\n\nspan.sidenote,\nspan.marginnote {\n  z-index: $zindex-middle;\n  position: relative;\n  sup {\n    user-select: none;\n  }\n  @include margin-content();\n  border-left: none;\n  @media (max-width: $breakpoint-lg) {\n    display: none;\n  }\n}\n\naside.sidebar {\n  .note {\n    // styling for notes inside sidebars\n    margin: 1rem;\n    padding: 0rem 0rem 1rem 0rem;\n  }\n  // The titles sticking\n  .admonition-title {\n    margin: 0rem -1rem 0rem 0rem;\n  }\n}\n\n/**\n * Sidebar content in the margin.\n * This will be added by the `margin` directive or the `sidebar` directive\n */\naside.sidebar.margin {\n  // Margin content can have an empty title so this prevents an empty title block\n  // from showing up on mobile\n  .sidebar-title:empty {\n    display: none;\n  }\n\n  // On narrow screens padding is added to all sidebar content\n  // This replaces padding w/ margin for admonitions because padding is used\n  // for the title background color\n  .admonition {\n    margin: 0.5rem;\n    padding-left: 0;\n    padding-right: 0;\n\n    // Remove the title margin so it\n    .admonition-title {\n      margin-left: 0;\n      margin-right: 0;\n    }\n  }\n\n  @media (min-width: $breakpoint-lg) {\n    // No border for margin sidebars on wide screen\n    border: none;\n\n    // Admonitions don't need the extra whitespace in the margin\n    .admonition {\n      margin: 1rem 0rem;\n      padding: 0rem 0rem 1rem 0rem;\n    }\n  }\n}\n\ndiv.margin,\nfigure.margin,\naside.margin,\n.margin.docutils.container,\n.cell.tag_popout,\n.cell.tag_margin {\n  z-index: $zindex-middle;\n  position: relative;\n  @include margin-content();\n\n  // Make cell outputs take up more space if they're in the margin\n  div.cell.tag_margin .cell_output {\n    padding-left: 0;\n  }\n}\n\n// A few permutations because docutils 0.18 switched to semantic tags\ndiv.figure.margin-caption p.caption,\ndiv.figure.margin-caption figcaption,\nfigure.margin-caption figcaption {\n  z-index: $zindex-middle;\n  position: relative;\n  @include margin-content();\n}\n\n// Margin captions\n.margin-caption figcaption {\n  text-align: left;\n}\n\n/**\n * Full width content\n */\n\n// Grow 100% by the ratio of the margin to the content width.\n$content-fullwidth-width: 100% + $margin-width-relative-to-content;\n\ndiv.cell.tag_full-width,\ndiv.cell.tag_full_width,\ndiv.full_width,\ndiv.full-width {\n  z-index: $zindex-middle;\n  position: relative;\n  @media (min-width: $breakpoint-lg) {\n    max-width: $content-fullwidth-width;\n    width: $content-fullwidth-width;\n  }\n}\n","/**\n * Epigraphs and other \"special\" quote blocks\n */\n\nblockquote {\n  &.pull-quote,\n  &.epigraph,\n  &.highlights {\n    font-size: 1.25em;\n    border-left: none;\n    background-color: var(--pst-color-background);\n  }\n\n  div > p + p.attribution {\n    font-style: normal;\n    font-size: 0.9em;\n    text-align: right;\n    color: #6c757d;\n    padding-right: 2em;\n  }\n}\n","// Over-ride Sphinx default so that content fills whitespace w/ margin content\npre,\ndiv[class*=\"highlight-\"] {\n  clear: none;\n}\n","// MyST-NB and Jupyter Notebooks\ndiv.cell.tag_output_scroll div.cell_output,\ndiv.cell.tag_scroll-output div.cell_output {\n  max-height: 24em;\n  overflow-y: auto;\n}\n\ndiv.cell.tag_scroll-input div.cell_input {\n  max-height: 24em;\n  overflow-y: auto;\n}\n","/**\n * Comment JavaScript libraries\n  * Libraries supported here are:\n  * - Hypothes.is : https://web.hypothes.is/\n  * - Utteranc.es : https://utteranc.es/\n  */\n// In general we want to hide any comment libraries on print\n@media only print {\n  hypothesis-sidebar,\n  div.utterances {\n    display: none;\n  }\n}\n","/*********************************************\n* Thebe *\n* ref: https://github.com/executablebooks/thebe\n*********************************************/\n.thebelab-cell {\n  border: none !important;\n  margin-right: 0.5em !important;\n}\n\n.thebelab-cell .thebelab-input {\n  padding-left: 10px !important;\n}\n\n.cell.docutils.container {\n  padding-right: 0px !important;\n}\n\nbutton.thebe-launch-button {\n  height: 2.5em;\n  font-size: 1em;\n}\n"],"names":[],"sourceRoot":""}
\ No newline at end of file
diff --git a/_static/underscore-1.13.1.js b/_static/underscore-1.13.1.js
deleted file mode 100644
index ffd77af..0000000
--- a/_static/underscore-1.13.1.js
+++ /dev/null
@@ -1,2042 +0,0 @@
-(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/_static/underscore.js b/_static/underscore.js
deleted file mode 100644
index cf177d4..0000000
--- a/_static/underscore.js
+++ /dev/null
@@ -1,6 +0,0 @@
-!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.
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deleted file mode 100644
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format("truetype");unicode-range:u+f041,u+f047,u+f065-f066,u+f07d-f07e,u+f080,u+f08b,u+f08e,u+f090,u+f09a,u+f0ac,u+f0ae,u+f0b2,u+f0d0,u+f0d6,u+f0e4,u+f0ec,u+f10a-f10b,u+f123,u+f13e,u+f148-f149,u+f14c,u+f156,u+f15e,u+f160-f161,u+f163,u+f175-f178,u+f195,u+f1f8,u+f219,u+f27a}
\ No newline at end of file
diff --git a/_static/vendor/fontawesome/6.1.2/webfonts/fa-brands-400.ttf b/_static/vendor/fontawesome/6.1.2/webfonts/fa-brands-400.ttf
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diff --git a/_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.ttf b/_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.ttf
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diff --git a/_static/vendor/fontawesome/6.1.2/webfonts/fa-solid-900.ttf b/_static/vendor/fontawesome/6.1.2/webfonts/fa-solid-900.ttf
deleted file mode 100644
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diff --git a/_static/vendor/fontawesome/6.1.2/webfonts/fa-solid-900.woff2 b/_static/vendor/fontawesome/6.1.2/webfonts/fa-solid-900.woff2
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diff --git a/_static/vendor/fontawesome/6.1.2/webfonts/fa-v4compatibility.ttf b/_static/vendor/fontawesome/6.1.2/webfonts/fa-v4compatibility.ttf
deleted file mode 100644
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diff --git a/_static/vendor/fontawesome/6.1.2/webfonts/fa-v4compatibility.woff2 b/_static/vendor/fontawesome/6.1.2/webfonts/fa-v4compatibility.woff2
deleted file mode 100644
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diff --git a/_static/vendor/fontawesome/6.1.2/LICENSE.txt b/_static/vendor/fontawesome/6.5.2/LICENSE.txt
similarity index 98%
rename from _static/vendor/fontawesome/6.1.2/LICENSE.txt
rename to _static/vendor/fontawesome/6.5.2/LICENSE.txt
index cc557ec..e69c5e3 100644
--- a/_static/vendor/fontawesome/6.1.2/LICENSE.txt
+++ b/_static/vendor/fontawesome/6.5.2/LICENSE.txt
@@ -23,7 +23,7 @@ as SVG and JS file types.
 In the Font Awesome Free download, the SIL OFL license applies to all icons
 packaged as web and desktop font files.
 
-Copyright (c) 2022 Fonticons, Inc. (https://fontawesome.com)
+Copyright (c) 2024 Fonticons, Inc. (https://fontawesome.com)
 with Reserved Font Name: "Font Awesome".
 
 This Font Software is licensed under the SIL Open Font License, Version 1.1.
@@ -123,7 +123,7 @@ OTHER DEALINGS IN THE FONT SOFTWARE.
 In the Font Awesome Free download, the MIT license applies to all non-font and
 non-icon files.
 
-Copyright 2022 Fonticons, Inc.
+Copyright 2024 Fonticons, Inc.
 
 Permission is hereby granted, free of charge, to any person obtaining a copy of
 this software and associated documentation files (the "Software"), to deal in the
diff --git a/_static/vendor/fontawesome/6.5.2/css/all.min.css b/_static/vendor/fontawesome/6.5.2/css/all.min.css
new file mode 100644
index 0000000..628b2cc
--- /dev/null
+++ b/_static/vendor/fontawesome/6.5.2/css/all.min.css
@@ -0,0 +1,5 @@
+/*!
+ * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2024 Fonticons, Inc.
+ */.fa{font-family:var(--fa-style-family,"Font Awesome 6 Free");font-weight:var(--fa-style,900)}.fa,.fa-brands,.fa-classic,.fa-regular,.fa-sharp,.fa-solid,.fab,.far,.fas{-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;display:var(--fa-display,inline-block);font-style:normal;font-variant:normal;line-height:1;text-rendering:auto}.fa-classic,.fa-regular,.fa-solid,.far,.fas{font-family:Font Awesome\ 6 Free}.fa-brands,.fab{font-family:Font Awesome\ 6 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\ No newline at end of file
diff --git a/_static/vendor/fontawesome/6.5.2/js/all.min.js.LICENSE.txt b/_static/vendor/fontawesome/6.5.2/js/all.min.js.LICENSE.txt
new file mode 100644
index 0000000..a91750a
--- /dev/null
+++ b/_static/vendor/fontawesome/6.5.2/js/all.min.js.LICENSE.txt
@@ -0,0 +1,5 @@
+/*!
+ * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2024 Fonticons, Inc.
+ */
diff --git a/_static/vendor/fontawesome/6.5.2/webfonts/fa-brands-400.ttf b/_static/vendor/fontawesome/6.5.2/webfonts/fa-brands-400.ttf
new file mode 100644
index 0000000..1fbb1f7
Binary files /dev/null and b/_static/vendor/fontawesome/6.5.2/webfonts/fa-brands-400.ttf differ
diff --git a/_static/vendor/fontawesome/6.5.2/webfonts/fa-brands-400.woff2 b/_static/vendor/fontawesome/6.5.2/webfonts/fa-brands-400.woff2
new file mode 100644
index 0000000..5d28021
Binary files /dev/null and b/_static/vendor/fontawesome/6.5.2/webfonts/fa-brands-400.woff2 differ
diff --git a/_static/vendor/fontawesome/6.5.2/webfonts/fa-regular-400.ttf b/_static/vendor/fontawesome/6.5.2/webfonts/fa-regular-400.ttf
new file mode 100644
index 0000000..549d68d
Binary files /dev/null and b/_static/vendor/fontawesome/6.5.2/webfonts/fa-regular-400.ttf differ
diff --git a/_static/vendor/fontawesome/6.5.2/webfonts/fa-regular-400.woff2 b/_static/vendor/fontawesome/6.5.2/webfonts/fa-regular-400.woff2
new file mode 100644
index 0000000..18400d7
Binary files /dev/null and b/_static/vendor/fontawesome/6.5.2/webfonts/fa-regular-400.woff2 differ
diff --git a/_static/vendor/fontawesome/6.5.2/webfonts/fa-solid-900.ttf b/_static/vendor/fontawesome/6.5.2/webfonts/fa-solid-900.ttf
new file mode 100644
index 0000000..bb2a869
Binary files /dev/null and b/_static/vendor/fontawesome/6.5.2/webfonts/fa-solid-900.ttf differ
diff --git a/_static/vendor/fontawesome/6.5.2/webfonts/fa-solid-900.woff2 b/_static/vendor/fontawesome/6.5.2/webfonts/fa-solid-900.woff2
new file mode 100644
index 0000000..758dd4f
Binary files /dev/null and b/_static/vendor/fontawesome/6.5.2/webfonts/fa-solid-900.woff2 differ
diff --git a/_static/vendor/fontawesome/6.5.2/webfonts/fa-v4compatibility.ttf b/_static/vendor/fontawesome/6.5.2/webfonts/fa-v4compatibility.ttf
new file mode 100644
index 0000000..8c5864c
Binary files /dev/null and b/_static/vendor/fontawesome/6.5.2/webfonts/fa-v4compatibility.ttf differ
diff --git a/_static/vendor/fontawesome/6.5.2/webfonts/fa-v4compatibility.woff2 b/_static/vendor/fontawesome/6.5.2/webfonts/fa-v4compatibility.woff2
new file mode 100644
index 0000000..f94bec2
Binary files /dev/null and b/_static/vendor/fontawesome/6.5.2/webfonts/fa-v4compatibility.woff2 differ
diff --git a/_static/webpack-macros.html b/_static/webpack-macros.html
index 58db785..72d229f 100644
--- a/_static/webpack-macros.html
+++ b/_static/webpack-macros.html
@@ -4,27 +4,28 @@
 -->
 {# Load FontAwesome icons #}
 {% macro head_pre_icons() %}
-  <link href="{{ pathto('_static/vendor/fontawesome/6.1.2/css/all.min.css', 1) }}?digest=e353d410970836974a52" rel="stylesheet" />
-  <link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.1.2/webfonts/fa-solid-900.woff2', 1) }}" />
-<link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.1.2/webfonts/fa-brands-400.woff2', 1) }}" />
-<link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.woff2', 1) }}" />
+  <link href="{{ pathto('_static/vendor/fontawesome/6.5.2/css/all.min.css', 1) }}?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.5.2/webfonts/fa-solid-900.woff2', 1) }}" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.5.2/webfonts/fa-brands-400.woff2', 1) }}" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.5.2/webfonts/fa-regular-400.woff2', 1) }}" />
 {% endmacro %}
 
 {% macro head_pre_assets() %}
   <!-- Loaded before other Sphinx assets -->
-  <link href="{{ pathto('_static/styles/theme.css', 1) }}?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="{{ pathto('_static/styles/bootstrap.css', 1) }}?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="{{ pathto('_static/styles/pydata-sphinx-theme.css', 1) }}?digest=e353d410970836974a52" rel="stylesheet" />
+  <link href="{{ pathto('_static/styles/theme.css', 1) }}?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
+<link href="{{ pathto('_static/styles/bootstrap.css', 1) }}?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
+<link href="{{ pathto('_static/styles/pydata-sphinx-theme.css', 1) }}?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
 {% endmacro %}
 
 {% macro head_js_preload() %}
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=e353d410970836974a52" />
-<link rel="preload" as="script" href="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=e353d410970836974a52" />
+  <link rel="preload" as="script" href="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=dfe6caa3a7d634c4db9b" />
+<link rel="preload" as="script" href="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=dfe6caa3a7d634c4db9b" />
+  <script src="{{ pathto('_static/vendor/fontawesome/6.5.2/js/all.min.js', 1) }}?digest=dfe6caa3a7d634c4db9b"></script>
 {% endmacro %}
 
 {% macro body_post() %}
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=e353d410970836974a52"></script>
-<script src="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=e353d410970836974a52"></script>
+  <script src="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=dfe6caa3a7d634c4db9b"></script>
+<script src="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=dfe6caa3a7d634c4db9b"></script>
 {% endmacro %}
\ No newline at end of file
diff --git a/content/reference_notebooks/basic_reference.html b/content/reference_notebooks/basic_reference.html
index a54ad35..71ed17d 100644
--- a/content/reference_notebooks/basic_reference.html
+++ b/content/reference_notebooks/basic_reference.html
@@ -1,13 +1,12 @@
 
-
 <!DOCTYPE html>
 
 
-<html >
+<html lang="en" data-content_root="../../" >
 
   <head>
     <meta charset="utf-8" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
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+  <div id="pst-skip-link" class="skip-link d-print-none"><a href="#main-content">Skip to main content</a></div>
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 </form></div>
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+
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@@ -113,6 +124,9 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
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+    
   
 
 <a class="navbar-brand logo" href="../../index.html">
@@ -121,10 +135,11 @@
   
   
   
+  
     <p class="title logo__title">NASA-NAVO Workshops Notebooks</p>
   
 </a></div>
-        <div class="sidebar-primary-item"><ul class="navbar-icon-links navbar-nav"
+        <div class="sidebar-primary-item"><ul class="navbar-icon-links"
     aria-label="Icon Links">
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@@ -135,11 +150,22 @@
           
           
           
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-            <label class="sr-only">GitHub</label></a>
+          <a href="https://github.com/NASA-NAVO/navo-workshop" title="GitHub" class="nav-link pst-navbar-icon" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><i class="fa-brands fa-square-github fa-lg" aria-hidden="true"></i>
+            <span class="sr-only">GitHub</span></a>
         </li>
 </ul></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
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+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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@@ -185,7 +211,7 @@
 
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+      <main id="main-content" class="bd-main" role="main">
         
         
 
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             <div class="bd-article-container">
               
-              <div class="bd-header-article">
+              <div class="bd-header-article d-print-none">
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     <div class="header-article-items__start">
       
-        <div class="header-article-item"><label class="sidebar-toggle primary-toggle btn btn-sm" for="__primary" title="Toggle primary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
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   <span class="fa-solid fa-bars"></span>
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+</button></div>
       
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@@ -226,14 +252,14 @@
       
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    class="btn btn-sm dropdown-item"
-   title="Launch onBinder"
+   title="Launch on Binder"
    data-bs-placement="left" data-bs-toggle="tooltip"
 >
   
 
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-    <img src="../../_static/images/logo_binder.svg">
+    <img alt="Binder logo" src="../../_static/images/logo_binder.svg">
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 <span class="btn__text-container">Binder</span>
 </a>
@@ -244,14 +270,14 @@
       
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    class="btn btn-sm dropdown-item"
-   title="Launch onColab"
+   title="Launch on Colab"
    data-bs-placement="left" data-bs-toggle="tooltip"
 >
   
 
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-    <img src="../../_static/images/logo_colab.png">
+    <img alt="Colab logo" src="../../_static/images/logo_colab.png">
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 <span class="btn__text-container">Colab</span>
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@@ -406,26 +432,28 @@
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@@ -488,16 +516,16 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section id="basic-reference">
-<h1>Basic Reference<a class="headerlink" href="#basic-reference" title="Permalink to this headline">#</a></h1>
+<h1>Basic Reference<a class="headerlink" href="#basic-reference" title="Link to this heading">#</a></h1>
 <section id="setup">
-<h2>0. Setup<a class="headerlink" href="#setup" title="Permalink to this headline">#</a></h2>
+<h2>0. Setup<a class="headerlink" href="#setup" title="Link to this heading">#</a></h2>
 <p>Please make sure your environment is set up according to the <a class="reference external" href="https://nasa-navo.github.io/navo-workshop/00_SETUP.html">instructions here</a>.</p>
 </section>
 <section id="overview">
-<h2>1. Overview<a class="headerlink" href="#overview" title="Permalink to this headline">#</a></h2>
+<h2>1. Overview<a class="headerlink" href="#overview" title="Link to this heading">#</a></h2>
 <p>NASA services can be queried from Python in multiple ways.</p>
 <ul class="simple">
 <li><p>Generic Virtual Observatory (VO) queries.</p>
@@ -516,7 +544,7 @@ <h2>1. Overview<a class="headerlink" href="#overview" title="Permalink to this h
 </ul>
 </section>
 <section id="vo-services">
-<h2>2. VO Services<a class="headerlink" href="#vo-services" title="Permalink to this headline">#</a></h2>
+<h2>2. VO Services<a class="headerlink" href="#vo-services" title="Link to this heading">#</a></h2>
 <p>This workshop will introduce 4 types of VO queries:</p>
 <ul class="simple">
 <li><p><strong>VO Registry</strong> - Discover what services are available worldwide</p></li>
@@ -526,7 +554,7 @@ <h2>2. VO Services<a class="headerlink" href="#vo-services" title="Permalink to
 <li><p><strong>Table Access</strong> - SQL-like queries to databases</p></li>
 </ul>
 <section id="import-necessary-packages">
-<h3>2.0 Import Necessary Packages<a class="headerlink" href="#import-necessary-packages" title="Permalink to this headline">#</a></h3>
+<h3>2.0 Import Necessary Packages<a class="headerlink" href="#import-necessary-packages" title="Link to this heading">#</a></h3>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Generic VO access routines</span>
@@ -549,7 +577,7 @@ <h3>2.0 Import Necessary Packages<a class="headerlink" href="#import-necessary-p
 </div>
 </section>
 <section id="look-up-services-in-vo-registry">
-<h3>2.1 Look Up Services in VO Registry<a class="headerlink" href="#look-up-services-in-vo-registry" title="Permalink to this headline">#</a></h3>
+<h3>2.1 Look Up Services in VO Registry<a class="headerlink" href="#look-up-services-in-vo-registry" title="Link to this heading">#</a></h3>
 <p>Simple example:  Find Simple Cone Search (conesearch) services related to SWIFT.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -559,42 +587,41 @@ <h3>2.1 Look Up Services in VO Registry<a class="headerlink" href="#look-up-serv
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;DALResultsTable length=208&gt;
-                 ivoid                  ...          alt_identifier         
-                                        ...                                 
-                 object                 ...              object             
---------------------------------------- ... --------------------------------
-ivo://archive.stsci.edu/catalogs/mastcs ...                                 
-    ivo://bsdc.icranet.org/sds82/q/cone ...                                 
-               ivo://cds.vizier/b/swift ...                                 
-                ivo://cds.vizier/ii/339 ...      bibcode:2014styd.confE..37P
-                ivo://cds.vizier/ii/339 ...      bibcode:2015yCat.2339....0Y
-                 ivo://cds.vizier/ix/43 ...      bibcode:2014ApJS..210....8E
-                 ivo://cds.vizier/ix/51 ...      bibcode:2017yCat.9051....0R
-                 ivo://cds.vizier/ix/58 ...      bibcode:2020ApJS..247...54E
-          ivo://cds.vizier/j/a+a/427/87 ... doi:10.26093/cds/vizier.34270087
-                                    ... ...                              ...
-          ivo://nasa.heasarc/swiftmastr ...                                 
-          ivo://nasa.heasarc/swifttdrss ...                                 
-          ivo://nasa.heasarc/swiftuvlog ...                                 
-          ivo://nasa.heasarc/swiftxrlog ...                                 
-           ivo://nasa.heasarc/swsdssqso ...                                 
-           ivo://nasa.heasarc/swuvotssc ...                                 
-          ivo://nasa.heasarc/swuvotssob ...                                 
-            ivo://nasa.heasarc/swxcscat ...                                 
-           ivo://nasa.heasarc/swxrt1fgl ...                                 
-           ivo://nasa.heasarc/xmmvaragn ...                                 
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;DALResultsTable length=219&gt;
+                 ivoid                  ...
+                                        ...
+                 object                 ...
+--------------------------------------- ...
+ivo://archive.stsci.edu/catalogs/mastcs ...
+    ivo://bsdc.icranet.org/sds82/q/cone ...
+               ivo://cds.vizier/b/swift ...
+                ivo://cds.vizier/ii/339 ...
+                 ivo://cds.vizier/ix/43 ...
+                 ivo://cds.vizier/ix/51 ...
+                 ivo://cds.vizier/ix/58 ...
+          ivo://cds.vizier/j/a+a/427/87 ...
+          ivo://cds.vizier/j/a+a/448/l9 ...
+                                    ... ...
+          ivo://nasa.heasarc/swiftuvlog ...
+          ivo://nasa.heasarc/swiftxrlog ...
+           ivo://nasa.heasarc/swsdssqso ...
+           ivo://nasa.heasarc/swuvotssc ...
+          ivo://nasa.heasarc/swuvotssob ...
+            ivo://nasa.heasarc/swxcscat ...
+           ivo://nasa.heasarc/swxrt1fgl ...
+           ivo://nasa.heasarc/uvotbscat ...
+           ivo://nasa.heasarc/xmmvaragn ...
 </pre></div>
 </div>
 </div>
 </div>
 <section id="use-different-arguments-values-to-modify-the-simple-example">
-<h4>2.1.1 Use different arguments/values to modify the simple example<a class="headerlink" href="#use-different-arguments-values-to-modify-the-simple-example" title="Permalink to this headline">#</a></h4>
-<table class="colwidths-auto table">
+<h4>2.1.1 Use different arguments/values to modify the simple example<a class="headerlink" href="#use-different-arguments-values-to-modify-the-simple-example" title="Link to this heading">#</a></h4>
+<div class="pst-scrollable-table-container"><table class="table">
 <thead>
-<tr class="row-odd"><th class="text-center head"><p>Argument</p></th>
-<th class="text-left head"><p>Description</p></th>
-<th class="text-left head"><p>Examples</p></th>
+<tr class="row-odd"><th class="head text-center"><p>Argument</p></th>
+<th class="head text-left"><p>Description</p></th>
+<th class="head text-left"><p>Examples</p></th>
 </tr>
 </thead>
 <tbody>
@@ -612,11 +639,12 @@ <h4>2.1.1 Use different arguments/values to modify the simple example<a class="h
 </tr>
 </tbody>
 </table>
+</div>
 </section>
 <section id="inspect-the-results">
-<h4>2.1.2 Inspect the results<a class="headerlink" href="#inspect-the-results" title="Permalink to this headline">#</a></h4>
+<h4>2.1.2 Inspect the results<a class="headerlink" href="#inspect-the-results" title="Link to this heading">#</a></h4>
 <section id="using-pyvo">
-<h5>Using pyvo<a class="headerlink" href="#using-pyvo" title="Permalink to this headline">#</a></h5>
+<h5>Using pyvo<a class="headerlink" href="#using-pyvo" title="Link to this heading">#</a></h5>
 <p>Although not lists, <code class="docutils literal notranslate"><span class="pre">pyvo</span></code> results can be iterated over to see each individual result.  The results are specialized based on the type of query, providing access to the important properties of the results.  Some useful accessors with registry results are:</p>
 <ul class="simple">
 <li><p><code class="docutils literal notranslate"><span class="pre">short_name</span></code> - A short name</p></li>
@@ -635,7 +663,7 @@ <h5>Using pyvo<a class="headerlink" href="#using-pyvo" title="Permalink to this
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Number of results: 208
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Number of results: 219
 
 MAST CS - MAST ConeSearch
 sds82 cone - SDS82 catalog
@@ -647,7 +675,7 @@ <h5>Using pyvo<a class="headerlink" href="#using-pyvo" title="Permalink to this
 </div>
 </section>
 <section id="filtering-results">
-<h5>Filtering results<a class="headerlink" href="#filtering-results" title="Permalink to this headline">#</a></h5>
+<h5>Filtering results<a class="headerlink" href="#filtering-results" title="Link to this heading">#</a></h5>
 <p>Of the services we found, which one(s) have ‘stsci.edu’ in their unique identifier?</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -665,7 +693,7 @@ <h5>Filtering results<a class="headerlink" href="#filtering-results" title="Perm
 </div>
 </section>
 <section id="using-astropy">
-<h5>Using astropy<a class="headerlink" href="#using-astropy" title="Permalink to this headline">#</a></h5>
+<h5>Using astropy<a class="headerlink" href="#using-astropy" title="Link to this heading">#</a></h5>
 <p>With the <code class="docutils literal notranslate"><span class="pre">to_table()</span></code> method, <code class="docutils literal notranslate"><span class="pre">pyvo</span></code> results can also be converted to Astropy <code class="docutils literal notranslate"><span class="pre">Table</span></code> objects which offer a variety of addional features. See <a class="reference external" href="http://docs.astropy.org/en/stable/table/">astropy.table</a> for more on working with Astropy Tables.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -680,23 +708,23 @@ <h5>Using astropy<a class="headerlink" href="#using-astropy" title="Permalink to
 </div>
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Column Names:
-[&#39;ivoid&#39;, &#39;res_type&#39;, &#39;short_name&#39;, &#39;res_title&#39;, &#39;content_level&#39;, &#39;res_description&#39;, &#39;reference_url&#39;, &#39;creator_seq&#39;, &#39;created&#39;, &#39;updated&#39;, &#39;rights&#39;, &#39;content_type&#39;, &#39;source_format&#39;, &#39;source_value&#39;, &#39;region_of_regard&#39;, &#39;waveband&#39;, &#39;access_urls&#39;, &#39;standard_ids&#39;, &#39;intf_types&#39;, &#39;intf_roles&#39;, &#39;alt_identifier&#39;]
+[&#39;ivoid&#39;, &#39;res_type&#39;, &#39;short_name&#39;, &#39;res_title&#39;, &#39;content_level&#39;, &#39;res_description&#39;, &#39;reference_url&#39;, &#39;creator_seq&#39;, &#39;created&#39;, &#39;updated&#39;, &#39;rights&#39;, &#39;content_type&#39;, &#39;source_format&#39;, &#39;source_value&#39;, &#39;region_of_regard&#39;, &#39;waveband&#39;, &#39;access_urls&#39;, &#39;standard_ids&#39;, &#39;intf_types&#39;, &#39;intf_roles&#39;]
 </pre></div>
 </div>
 <div class="output text_html"><div><i>Table length=3</i>
-<table id="table140225316261216" class="table-striped table-bordered table-condensed">
+<table id="table139864547976496" class="table-striped table-bordered table-condensed">
 <thead><tr><th>short_name</th><th>res_title</th><th>res_description</th></tr></thead>
 <thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>
 <tr><td>MAST CS</td><td>MAST ConeSearch</td><td>All MAST catalog holdings are available via a ConeSearch endpoint. \nThis service provides access to all, with an optional non-standard parameter for an individual catalog to query. \nThe available missions are listed at http://archive.stsci.edu/vo/mast_services.html, \nand include Hubble (HST) data, Kepler, K2, IUE, HUT, EUVE, FUSE, UIT, WUPPE, BEFS, TUES, IMAPS, High Level Science Products (HLSP), Copernicus, HPOL, VLA First, XMM-OM, and SWIFT.</td></tr>
 <tr><td>sds82 cone</td><td>SDS82 catalog</td><td>The SDS82 catalog is the result of the Swift DeepSky pipeline over\nall observations made by Swift-XRT within the Stripe82.</td></tr>
-<tr><td>B/swift</td><td>Swift Master Catalog</td><td>(no description available)</td></tr>
+<tr><td>B/swift</td><td>Swift Master Catalog</td><td>This table records high-level information for each Swift observation and provides access to the data archive. Each record is associated with a single observation that contains data from all instruments on board Swift. The BAT is the large field of view instrument and operates in the 10-300 keV energy band. The narrow field instruments, XRT and UVOT, operate in the X-ray and UV/optical regime, respectively. An observation is defined as a collection of snapshots, where a snapshot is defined as the time spent observing the same position continuously. Because of observing constraints, the length of a snapshot can be shorter than a single orbit and it can be interrupted because the satellite will point in a different direction of the sky or because the time allocated to that observation ends. The typical Swift observing strategy for a Gamma Ray Burst (GRB) and/or afterglow, consists of a serious of observations aimed at following the GRB and its afterglow evolution. This strategy is achieved with two different type of observations named Automatic Targets and Pre-Planned Targets. The Automatic Target is initiated on board soon after an event is triggered by the BAT. The Figure of Merit (FOM) algorithm, part of the observatory&apos;s autonomy, decides if it is worth requesting a slew maneuver to point the narrow field instruments (NFI) on Swift, XRT and UVOT, in the direction of the trigger. If the conditions to slew to the new position are satisfied, the Automatic Target observation takes place; all the instruments have a pre-set standard configuration of operating modes and filters and about 20000 seconds on source will be collected. The Pre-Planned Target observations instead are initiated from the ground once the trigger is known. These observations are planned on ground and uploaded onto the spacecraft.</td></tr>
 </table></div></div></div>
 </div>
 </section>
 </section>
 </section>
 <section id="cone-search">
-<h3>2.2 Cone search<a class="headerlink" href="#cone-search" title="Permalink to this headline">#</a></h3>
+<h3>2.2 Cone search<a class="headerlink" href="#cone-search" title="Link to this heading">#</a></h3>
 <p>Example:  Find a cone search service for the USNO-B catalog and search it around M51 with a .1 degree radius.  (More inspection could be done on the service list instead of blindly choosing the first service.)</p>
 <p>The position (<code class="docutils literal notranslate"><span class="pre">pos</span></code>) is best specified with <a class="reference external" href="http://docs.astropy.org/en/stable/api/astropy.coordinates.SkyCoord.html">SkyCoord</a> objects.</p>
 <p>The size of the region is specified with the <code class="docutils literal notranslate"><span class="pre">radius</span></code> keyword and may be decimal degrees or an Astropy <a class="reference external" href="http://docs.astropy.org/en/stable/api/astropy.coordinates.Angle.html#astropy.coordinates.Angle">Angle</a>.</p>
@@ -711,39 +739,38 @@ <h3>2.2 Cone search<a class="headerlink" href="#cone-search" title="Permalink to
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_html"><div><i>Table length=316</i>
-<table id="table140225762229024" class="table-striped table-bordered table-condensed">
+<div class="output text_html"><div><i>Table length=274</i>
+<table id="table139864876262800" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ObjID</th><th>Zone</th><th>SeqNo</th><th>RA</th><th>DEC</th><th>pmRA</th><th>pmDEC</th><th>e_pmRA</th><th>e_pmDEC</th><th>e_RA</th><th>e_DEC</th><th>Epoch</th><th>B1Mag</th><th>R1s_g</th><th>B2Mag</th><th>B2s_g</th><th>R2Mag</th><th>R2s_g</th><th>NMag</th><th>mag</th><th>B1s_g</th><th>R1Mag</th><th>distance</th></tr></thead>
 <thead><tr><th></th><th></th><th></th><th>deg</th><th>deg</th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th>arcsec</th><th>arcsec</th><th>yr</th><th>mag</th><th></th><th>mag</th><th></th><th>mag</th><th></th><th>mag</th><th>mag</th><th></th><th>mag</th><th>arcsec</th></tr></thead>
 <thead><tr><th>int64</th><th>int32</th><th>int32</th><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>int32</th><th>float32</th><th>int32</th><th>float32</th><th>int32</th><th>float32</th><th>float32</th><th>int32</th><th>float32</th><th>float32</th></tr></thead>
-<tr><td>5888400445251</td><td>1371</td><td>282435</td><td>202.472919444444</td><td>47.1954444444444</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>999.0</td><td>999.0</td><td>1981.8</td><td>-999999500.0</td><td>1</td><td>9.4</td><td>9</td><td>-999999500.0</td><td>0</td><td>7.86</td><td>-999999500.0</td><td>0</td><td>8.98</td><td>0.13680981</td></tr>
-<tr><td>5892695420475</td><td>1372</td><td>290363</td><td>202.494625</td><td>47.2065472222222</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>332.0</td><td>999.0</td><td>1956.2</td><td>20.13</td><td>3</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>-999999500.0</td><td>4</td><td>15.79</td><td>1.225397</td></tr>
-<tr><td>5892695420458</td><td>1372</td><td>290346</td><td>202.436875</td><td>47.2094416666667</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>999.0</td><td>359.0</td><td>1976.2</td><td>-999999500.0</td><td>1</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>10.89</td><td>-999999500.0</td><td>0</td><td>13.27</td><td>1.5814886</td></tr>
-<tr><td>5892695420468</td><td>1372</td><td>290356</td><td>202.469830555556</td><td>47.2232805555556</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>560.0</td><td>934.0</td><td>1976.2</td><td>-999999500.0</td><td>3</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>18.4</td><td>-999999500.0</td><td>0</td><td>17.78</td><td>1.6813676</td></tr>
-<tr><td>5888400445256</td><td>1371</td><td>282440</td><td>202.480638888889</td><td>47.1682194444444</td><td>-20.0</td><td>-6.0</td><td>5.0</td><td>5.0</td><td>205.0</td><td>201.0</td><td>1969.5</td><td>12.79</td><td>8</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>14.87</td><td>-999999500.0</td><td>1</td><td>15.4</td><td>1.6839039</td></tr>
-<tr><td>5892695420469</td><td>1372</td><td>290357</td><td>202.4706</td><td>47.2235555555556</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>709.0</td><td>130.0</td><td>1956.2</td><td>15.89</td><td>3</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>-999999500.0</td><td>1</td><td>17.68</td><td>1.6983492</td></tr>
-<tr><td>5892695420470</td><td>1372</td><td>290358</td><td>202.474338888889</td><td>47.2264416666667</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>200.0</td><td>490.0</td><td>1956.2</td><td>13.49</td><td>4</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>-999999500.0</td><td>1</td><td>18.74</td><td>1.8810501</td></tr>
-<tr><td>5888400445204</td><td>1371</td><td>282388</td><td>202.423558333333</td><td>47.1977666666667</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>466.0</td><td>480.0</td><td>1969.5</td><td>15.66</td><td>8</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>14.97</td><td>-999999500.0</td><td>1</td><td>15.22</td><td>1.8820878</td></tr>
-<tr><td>5888400445231</td><td>1371</td><td>282415</td><td>202.459627777778</td><td>47.1625777777778</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>945.0</td><td>999.0</td><td>1976.2</td><td>-999999500.0</td><td>1</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>17.22</td><td>-999999500.0</td><td>0</td><td>10.02</td><td>2.0023563</td></tr>
+<tr><td>5892695420471</td><td>1372</td><td>290359</td><td>202.481633333333</td><td>47.2332861111111</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>6.0</td><td>999.0</td><td>1977.8</td><td>13.15</td><td>0</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>16.32</td><td>-999999500.0</td><td>1</td><td>-999999500.0</td><td>0.19361904</td></tr>
+<tr><td>5892695420474</td><td>1372</td><td>290362</td><td>202.493683333333</td><td>47.2268472222222</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>999.0</td><td>999.0</td><td>1977.8</td><td>-999999500.0</td><td>1</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>17.61</td><td>-999999500.0</td><td>0</td><td>11.0</td><td>0.44705534</td></tr>
+<tr><td>5892695420470</td><td>1372</td><td>290358</td><td>202.474338888889</td><td>47.2264416666667</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>200.0</td><td>490.0</td><td>1956.2</td><td>13.49</td><td>4</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>-999999500.0</td><td>1</td><td>18.74</td><td>0.47041878</td></tr>
+<tr><td>5892695420476</td><td>1372</td><td>290364</td><td>202.495933333333</td><td>47.2248638888889</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>268.0</td><td>25.0</td><td>1976.2</td><td>15.62</td><td>0</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>10.34</td><td>-999999500.0</td><td>3</td><td>-999999500.0</td><td>0.5886301</td></tr>
+<tr><td>5892695420469</td><td>1372</td><td>290357</td><td>202.4706</td><td>47.2235555555556</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>709.0</td><td>130.0</td><td>1956.2</td><td>15.89</td><td>3</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>-999999500.0</td><td>1</td><td>17.68</td><td>0.694267</td></tr>
+<tr><td>5892695420468</td><td>1372</td><td>290356</td><td>202.469830555556</td><td>47.2232805555556</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>560.0</td><td>934.0</td><td>1976.2</td><td>-999999500.0</td><td>3</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>18.4</td><td>-999999500.0</td><td>0</td><td>17.78</td><td>0.7292369</td></tr>
+<tr><td>5892695420467</td><td>1372</td><td>290355</td><td>202.464672222222</td><td>47.238175</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>999.0</td><td>434.0</td><td>1975.3</td><td>18.13</td><td>0</td><td>-999999500.0</td><td>0</td><td>14.65</td><td>10</td><td>-999999500.0</td><td>14.65</td><td>1</td><td>-999999500.0</td><td>0.9163842</td></tr>
+<tr><td>5892695420472</td><td>1372</td><td>290360</td><td>202.484227777778</td><td>47.2483083333333</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>103.0</td><td>148.0</td><td>1979.2</td><td>18.51</td><td>7</td><td>14.1</td><td>2</td><td>12.73</td><td>3</td><td>17.07</td><td>12.73</td><td>8</td><td>17.43</td><td>1.0651429</td></tr>
+<tr><td>5892695420480</td><td>1372</td><td>290368</td><td>202.509975</td><td>47.2357055555556</td><td>4.0</td><td>44.0</td><td>7.0</td><td>7.0</td><td>253.0</td><td>258.0</td><td>1970.6</td><td>16.58</td><td>1</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>17.66</td><td>-999999500.0</td><td>1</td><td>14.74</td><td>1.0959011</td></tr>
 <tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>
-<tr><td>5888400445380</td><td>1371</td><td>282564</td><td>202.612638888889</td><td>47.1861444444444</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>395.0</td><td>999.0</td><td>1982.2</td><td>-999999500.0</td><td>4</td><td>-999999500.0</td><td>0</td><td>20.65</td><td>3</td><td>18.63</td><td>20.65</td><td>0</td><td>19.85</td><td>5.858807</td></tr>
-<tr><td>5888400445151</td><td>1371</td><td>282335</td><td>202.351194444444</td><td>47.1387361111111</td><td>4.0</td><td>12.0</td><td>0.0</td><td>12.0</td><td>23.0</td><td>324.0</td><td>1981.2</td><td>20.72</td><td>0</td><td>20.92</td><td>7</td><td>19.53</td><td>3</td><td>-999999500.0</td><td>19.53</td><td>1</td><td>-999999500.0</td><td>5.9008446</td></tr>
-<tr><td>5888400445298</td><td>1371</td><td>282482</td><td>202.515788888889</td><td>47.1018111111111</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>394.0</td><td>190.0</td><td>1975.3</td><td>20.84</td><td>0</td><td>-999999500.0</td><td>0</td><td>17.89</td><td>1</td><td>-999999500.0</td><td>17.89</td><td>2</td><td>-999999500.0</td><td>5.915472</td></tr>
-<tr><td>5888400445142</td><td>1371</td><td>282326</td><td>202.342727777778</td><td>47.1468222222222</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>999.0</td><td>999.0</td><td>1995.6</td><td>-999999500.0</td><td>0</td><td>21.08</td><td>4</td><td>20.49</td><td>5</td><td>17.92</td><td>20.49</td><td>0</td><td>-999999500.0</td><td>5.934256</td></tr>
-<tr><td>5888400445376</td><td>1371</td><td>282560</td><td>202.609608333333</td><td>47.167975</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>999.0</td><td>999.0</td><td>1996.8</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>20.82</td><td>3</td><td>19.06</td><td>20.82</td><td>0</td><td>-999999500.0</td><td>5.9406395</td></tr>
-<tr><td>5888400445150</td><td>1371</td><td>282334</td><td>202.350063888889</td><td>47.1384194444444</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>999.0</td><td>999.0</td><td>1975.3</td><td>-999999500.0</td><td>3</td><td>20.53</td><td>1</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>-999999500.0</td><td>0</td><td>19.62</td><td>5.9495263</td></tr>
-<tr><td>5888400445175</td><td>1371</td><td>282359</td><td>202.374458333333</td><td>47.1198861111111</td><td>-54.0</td><td>296.0</td><td>13.0</td><td>13.0</td><td>352.0</td><td>352.0</td><td>1981.7</td><td>-999999500.0</td><td>3</td><td>19.74</td><td>3</td><td>20.36</td><td>1</td><td>-999999500.0</td><td>20.36</td><td>0</td><td>19.55</td><td>5.9591174</td></tr>
-<tr><td>5892695420507</td><td>1372</td><td>290395</td><td>202.586555555556</td><td>47.2552055555556</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>783.0</td><td>999.0</td><td>1976.2</td><td>20.84</td><td>0</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>0</td><td>19.2</td><td>-999999500.0</td><td>2</td><td>-999999500.0</td><td>5.9714193</td></tr>
-<tr><td>5888400445176</td><td>1371</td><td>282360</td><td>202.374952777778</td><td>47.119275</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>200.0</td><td>76.0</td><td>1979.2</td><td>20.84</td><td>2</td><td>19.89</td><td>2</td><td>18.84</td><td>10</td><td>18.56</td><td>18.84</td><td>9</td><td>19.42</td><td>5.9739494</td></tr>
-<tr><td>5888400445139</td><td>1371</td><td>282323</td><td>202.340863888889</td><td>47.1474416666667</td><td>-34.0</td><td>-26.0</td><td>13.0</td><td>4.0</td><td>313.0</td><td>111.0</td><td>1985.0</td><td>-999999500.0</td><td>3</td><td>19.1</td><td>9</td><td>18.0</td><td>2</td><td>17.74</td><td>18.0</td><td>0</td><td>19.6</td><td>5.982718</td></tr>
+<tr><td>5892695420407</td><td>1372</td><td>290295</td><td>202.346511111111</td><td>47.2626305555556</td><td>-74.0</td><td>-224.0</td><td>5.0</td><td>10.0</td><td>131.0</td><td>262.0</td><td>1981.2</td><td>20.84</td><td>0</td><td>21.61</td><td>8</td><td>20.78</td><td>2</td><td>-999999500.0</td><td>20.78</td><td>2</td><td>-999999500.0</td><td>5.9278975</td></tr>
+<tr><td>5888400445219</td><td>1371</td><td>282403</td><td>202.454386111111</td><td>47.1338444444444</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>432.0</td><td>638.0</td><td>1968.9</td><td>20.26</td><td>3</td><td>19.37</td><td>2</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>-999999500.0</td><td>1</td><td>18.85</td><td>5.9284215</td></tr>
+<tr><td>5892695420545</td><td>1372</td><td>290433</td><td>202.619261111111</td><td>47.2678111111111</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>98.0</td><td>384.0</td><td>1975.0</td><td>20.13</td><td>2</td><td>20.57</td><td>8</td><td>20.16</td><td>9</td><td>-999999500.0</td><td>20.16</td><td>8</td><td>19.32</td><td>5.938925</td></tr>
+<tr><td>5892695420403</td><td>1372</td><td>290291</td><td>202.34095</td><td>47.2498916666667</td><td>-392.0</td><td>274.0</td><td>45.0</td><td>93.0</td><td>999.0</td><td>999.0</td><td>1981.7</td><td>20.59</td><td>0</td><td>20.82</td><td>9</td><td>20.46</td><td>9</td><td>-999999500.0</td><td>20.46</td><td>7</td><td>-999999500.0</td><td>5.948257</td></tr>
+<tr><td>5888400445222</td><td>1371</td><td>282406</td><td>202.454719444444</td><td>47.1330666666667</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>653.0</td><td>999.0</td><td>1974.7</td><td>-999999500.0</td><td>3</td><td>17.68</td><td>2</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>-999999500.0</td><td>0</td><td>18.96</td><td>5.9713597</td></tr>
+<tr><td>5892695420534</td><td>1372</td><td>290422</td><td>202.611647222222</td><td>47.2800583333333</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>999.0</td><td>929.0</td><td>1974.7</td><td>-999999500.0</td><td>4</td><td>21.57</td><td>5</td><td>-999999500.0</td><td>0</td><td>-999999500.0</td><td>-999999500.0</td><td>0</td><td>19.87</td><td>5.981086</td></tr>
+<tr><td>5896990388281</td><td>1373</td><td>290873</td><td>202.563211111111</td><td>47.3145972222222</td><td>-400.0</td><td>174.0</td><td>401.0</td><td>35.0</td><td>999.0</td><td>183.0</td><td>1995.6</td><td>-999999500.0</td><td>0</td><td>18.32</td><td>2</td><td>19.48</td><td>8</td><td>17.77</td><td>19.48</td><td>0</td><td>-999999500.0</td><td>5.9817777</td></tr>
+<tr><td>5896990388283</td><td>1373</td><td>290875</td><td>202.564247222222</td><td>47.3144305555556</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>868.0</td><td>255.0</td><td>1986.1</td><td>-999999500.0</td><td>1</td><td>18.56</td><td>8</td><td>17.85</td><td>9</td><td>17.41</td><td>17.85</td><td>0</td><td>18.98</td><td>5.996182</td></tr>
+<tr><td>5888400445288</td><td>1371</td><td>282472</td><td>202.511605555556</td><td>47.1323583333333</td><td>2.081668e-13</td><td>2.081668e-13</td><td>0.0</td><td>0.0</td><td>34.0</td><td>999.0</td><td>1975.3</td><td>20.67</td><td>0</td><td>-999999500.0</td><td>0</td><td>20.52</td><td>2</td><td>-999999500.0</td><td>20.52</td><td>1</td><td>-999999500.0</td><td>5.997174</td></tr>
 </table></div></div></div>
 </div>
 </section>
 <section id="image-search">
-<h3>2.3 Image search<a class="headerlink" href="#image-search" title="Permalink to this headline">#</a></h3>
+<h3>2.3 Image search<a class="headerlink" href="#image-search" title="Link to this heading">#</a></h3>
 <p>Example:  Find an image search service for GALEX, and search it around coordinates 13:37:00.950,-29:51:55.51 (M83) with a radius of .2 degrees.  Download the first file in the results.</p>
 <section id="find-an-image-service">
-<h4>Find an image service<a class="headerlink" href="#find-an-image-service" title="Permalink to this headline">#</a></h4>
+<h4>Find an image service<a class="headerlink" href="#find-an-image-service" title="Link to this heading">#</a></h4>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">services</span> <span class="o">=</span> <span class="n">vo</span><span class="o">.</span><span class="n">regsearch</span><span class="p">(</span><span class="n">servicetype</span><span class="o">=</span><span class="s1">&#39;image&#39;</span><span class="p">,</span> <span class="n">keywords</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;galex&#39;</span><span class="p">])</span>
@@ -753,7 +780,7 @@ <h4>Find an image service<a class="headerlink" href="#find-an-image-service" tit
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=3</i>
-<table id="table140225316336736" class="table-striped table-bordered table-condensed">
+<table id="table139864547974144" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ivoid</th><th>short_name</th><th>res_title</th></tr></thead>
 <thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>
 <tr><td>ivo://archive.stsci.edu/sia/galex</td><td>GALEX</td><td>Galaxy Evolution Explorer (GALEX)</td></tr>
@@ -763,7 +790,7 @@ <h4>Find an image service<a class="headerlink" href="#find-an-image-service" tit
 </div>
 </section>
 <section id="search-one-of-the-services">
-<h4>Search one of the services<a class="headerlink" href="#search-one-of-the-services" title="Permalink to this headline">#</a></h4>
+<h4>Search one of the services<a class="headerlink" href="#search-one-of-the-services" title="Link to this heading">#</a></h4>
 <p>The first service looks good.  Search it!</p>
 <p>For more details on using <code class="docutils literal notranslate"><span class="pre">SkyCoord</span></code>, see <a class="reference external" href="http://docs.astropy.org/en/stable/api/astropy.coordinates.SkyCoord.html#astropy.coordinates.SkyCoord">its documentation</a></p>
 <p><strong>NOTE</strong>:  For image searches, the size of the region is defined by the <code class="docutils literal notranslate"><span class="pre">size</span></code> keyword which is more like a diameter than a radius.</p>
@@ -779,7 +806,7 @@ <h4>Search one of the services<a class="headerlink" href="#search-one-of-the-ser
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=2</i>
-<table id="table140225316337552" class="table-striped table-bordered table-condensed">
+<table id="table139864548745152" class="table-striped table-bordered table-condensed">
 <thead><tr><th>filename</th><th>id</th><th>ra_j2000</th><th>dec_j2000</th><th>url</th><th>filesize</th><th>mjdmean</th><th>naxes</th><th>naxis</th><th>scale</th><th>cd</th><th>format</th><th>ref_frame</th><th>equinox</th><th>coord_projection</th><th>crpix</th><th>crval</th><th>ctype</th><th>bandpass_id</th><th>bandpass_refvalue</th><th>bandpass_unit</th><th>bandpass_hilimit</th><th>bandpass_lolimit</th><th>processing</th><th>project</th><th>preview</th><th>representative</th><th>object_id</th></tr></thead>
 <thead><tr><th></th><th></th><th>deg</th><th>deg</th><th></th><th>byte</th><th>d</th><th></th><th>pix</th><th>deg / pix</th><th>deg / pix</th><th></th><th></th><th>yr</th><th></th><th>pix</th><th>pix</th><th></th><th></th><th>m</th><th>m</th><th>m</th><th>m</th><th></th><th></th><th></th><th></th><th></th></tr></thead>
 <thead><tr><th>object</th><th>object</th><th>float64</th><th>float64</th><th>object</th><th>int32</th><th>float64</th><th>int32</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>float32</th><th>str3</th><th>object</th><th>object</th><th>object</th><th>object</th><th>float64</th><th>object</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>
@@ -789,7 +816,7 @@ <h4>Search one of the services<a class="headerlink" href="#search-one-of-the-ser
 </div>
 </section>
 <section id="download-an-image">
-<h4>Download an image<a class="headerlink" href="#download-an-image" title="Permalink to this headline">#</a></h4>
+<h4>Download an image<a class="headerlink" href="#download-an-image" title="Link to this heading">#</a></h4>
 <p>For the first result, print the file format and download the file. If repeatedly executing this code, add <code class="docutils literal notranslate"><span class="pre">cache=True</span></code> to <code class="docutils literal notranslate"><span class="pre">download_file()</span></code> to prevent repeated downloads.</p>
 <p>See <a class="reference external" href="https://docs.astropy.org/en/stable/api/astropy.utils.data.download_file.html#astropy.utils.data.download_file"><code class="docutils literal notranslate"><span class="pre">download_file()</span></code> documentation here.</a></p>
 <div class="cell docutils container">
@@ -804,7 +831,7 @@ <h4>Download an image<a class="headerlink" href="#download-an-image" title="Perm
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>image/fits
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;/tmp/astropy-download-1958-g1z2p6ei&#39;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;/tmp/astropy-download-1959-3zr74opr&#39;
 </pre></div>
 </div>
 </div>
@@ -812,7 +839,7 @@ <h4>Download an image<a class="headerlink" href="#download-an-image" title="Perm
 </section>
 </section>
 <section id="spectral-search">
-<h3>2.4 Spectral search<a class="headerlink" href="#spectral-search" title="Permalink to this headline">#</a></h3>
+<h3>2.4 Spectral search<a class="headerlink" href="#spectral-search" title="Link to this heading">#</a></h3>
 <p>Example:  Find a spectral service for x-ray data.  Query it around Delta Ori with a search <strong>diameter</strong> of 10 arc minutes, and download the first data product.  Note that the results table can be inspected for potentially useful columns.</p>
 <p>Spectral search is very similar to image search. In this example, note:</p>
 <ul class="simple">
@@ -837,17 +864,17 @@ <h3>2.4 Spectral search<a class="headerlink" href="#spectral-search" title="Perm
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Title: acisf00639N004_pha2.fits, Format: application/fits
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Title: acisf00639N005_pha2.fits, Format: application/fits
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;/tmp/astropy-download-1958-dqvk0_ek&#39;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;/tmp/astropy-download-1959-qtx8ybxk&#39;
 </pre></div>
 </div>
 </div>
 </div>
 </section>
 <section id="table-search">
-<h3>2.5 Table search<a class="headerlink" href="#table-search" title="Permalink to this headline">#</a></h3>
+<h3>2.5 Table search<a class="headerlink" href="#table-search" title="Link to this heading">#</a></h3>
 <p>Example:  Find the HEASARC Table Access Protocol (TAP) service, get some information about the available tables.</p>
 <div class="cell tag_output_scroll docutils container">
 <div class="cell_input docutils container">
@@ -874,7 +901,8 @@ <h3>2.5 Table search<a class="headerlink" href="#table-search" title="Permalink
 The Xamin interface provides access to over 600 observation and object tables.
 This includes observation tables for more than 30 missions and observatories
 and hundreds of derived object tables. Non-high energy tables are included to
-make it easier for users to compare information.
+make it easier for users to compare information. This is a service provided by
+NASA HEASARC.
 
 Waveband Coverage:
 None
@@ -886,7 +914,7 @@ <h3>2.5 Table search<a class="headerlink" href="#table-search" title="Permalink
 TAP_SCHEMA.keys                - Joins between tables -- unused
 TAP_SCHEMA.schemas             - Available schemas
 TAP_SCHEMA.tables              - Available tables
-first                          - None
+&quot;first&quot;                        - Faint Images of the Radio Sky at Twenty cm (FIRST)
 a1                             - HEAO 1 A1 X-Ray Source Catalog
 a1point                        - HEAO 1 A1 Lightcurves
 a2lcpoint                      - HEAO 1 A2 Pointed Lightcurves
@@ -1766,7 +1794,9 @@ <h3>2.5 Table search<a class="headerlink" href="#table-search" title="Permalink
 uitmaster                      - Ultraviolet Imaging Telescope Master Catalog
 ulxngcat                       - Ultraluminous X-Ray Sources in Nearby Galaxies Catalog
 ulxrbcat                       - Ultraluminous X-Ray Sources in External Galaxies Catalog
-upprscoxmm                     - Upper Sco XMM-Newton X-Ray Point Source Catalog
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>upprscoxmm                     - Upper Sco XMM-Newton X-Ray Point Source Catalog
 uvotbscat                      - UVOT Bright Star Catalog
 uvqs                           - UV-Bright Quasar Survey (UVQS) DR1 Catalog
 uzc                            - Updated Zwicky Catalog
@@ -1780,9 +1810,7 @@ <h3>2.5 Table search<a class="headerlink" href="#table-search" title="Permalink
 vlacomacat                     - VLA Coma Cluster of Galaxies 1.4-GHz Source Catalog
 vlacos324m                     - VLA-COSMOS Survey 324-MHz Continuum Source Catalog
 vlacos3ghz                     - VLA-COSMOS 3-GHz Large Project Source Catalog
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>vlacosmjsc                     - VLA-COSMOS Project 1.4-GHz Joint Source Catalog
+vlacosmjsc                     - VLA-COSMOS Project 1.4-GHz Joint Source Catalog
 vlacosmos                      - VLA-COSMOS Large Project 1.4-GHz Source Catalog
 vlacosxoid                     - VLA-COSMOS 3-GHz Large Project Multiwavelength Counterparts Cata
 vlaecdfs1p4                    - VLA Extended-Chandra Deep Field-South 1.4-GHz Source Catalog
@@ -1873,7 +1901,7 @@ <h3>2.5 Table search<a class="headerlink" href="#table-search" title="Permalink
 xmmslewcln                     - XMM-Newton Slew Survey Clean Source Catalog, v2.0
 xmmslewegs                     - XMM-Newton Slew Survey Extragalactic Sample
 xmmslewful                     - XMM-Newton Slew Survey Full Source Catalog, v2.0
-xmmssc                         - XMM-Newton Serendipitous Source Catalog (4XMM-DR13 Version)
+xmmssc                         - XMM-Newton Serendipitous Source Catalog (4XMM-DR14 Version)
 xmmsscgps                      - XMM-Newton Survey Science Center Survey of the Galactic Plane
 xmmssclwbd                     - XMM-Newton 2XMMi-DR3 Selected Source Detections Catalog
 xmmssclwbs                     - XMM-Newton 2XMMi-DR3 Selected Source Classifications Catalog
@@ -1910,7 +1938,7 @@ <h3>2.5 Table search<a class="headerlink" href="#table-search" title="Permalink
 </div>
 </div>
 <section id="column-information">
-<h4>Column Information<a class="headerlink" href="#column-information" title="Permalink to this headline">#</a></h4>
+<h4>Column Information<a class="headerlink" href="#column-information" title="Link to this heading">#</a></h4>
 <p>For any table, we can list the column names and descriptions.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1920,42 +1948,42 @@ <h4>Column Information<a class="headerlink" href="#column-information" title="Pe
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>distance                       - Distance Determined by Independent Source (Mpc)
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>structure                      - Structure Flag
+rfn_number                     - Plate Number
 ra                             - Right Ascension
-__x_ra_dec                     - System unit vector column
-class                          - Browse Object Classification
-__z_ra_dec                     - System unit vector column
-bt_mag                         - B_T Magnitude
-comments                       - Comments
-luminosity_class               - Luminosity Class
-dec                            - Declination
+ugc_or_eso                     - UGC or ESO Number
+diameter_1                     - Diameter 1 (arcmin)
+&quot;__z_ra_dec&quot;                   - System unit vector column
+name                           - Catalog Designation
+lii                            - Galactic Longitude
 bar_type                       - Bar Type
-radial_velocity                - Heliocentric Radial Velocity (km/s)
+&quot;__row&quot;                        - System index column
+&quot;__y_ra_dec&quot;                   - System unit vector column
 ref_bmag                       - Reference Code for B Magnitude
-bii                            - Galactic Latitude
-__y_ra_dec                     - System unit vector column
-name                           - Catalog Designation
 ref_redshift                   - Reference Code for Redshift
-radial_velocity_error          - Radial Velocity Error
+dec                            - Declination
 diameter_2                     - Diameter 2 (arcmin)
-bmag                           - B Magnitude
-morph_type                     - Morphological (T) Type
-lii                            - Galactic Longitude
-ugc_or_eso                     - UGC or ESO Number
-structure                      - Structure Flag
-ref_radial_velocity            - Reference Code for Radial Velocity
+comments                       - Comments
 notes                          - Diameter (arcmin) or Spectrum ID
-rfn_number                     - Plate Number
-diameter_1                     - Diameter 1 (arcmin)
 redshift                       - Redshift
-__row                          - System index column
+radial_velocity_error          - Radial Velocity Error
+bt_mag                         - B_T Magnitude
+bii                            - Galactic Latitude
+ref_radial_velocity            - Reference Code for Radial Velocity
+morph_type                     - Morphological (T) Type
+radial_velocity                - Heliocentric Radial Velocity (km/s)
+&quot;distance&quot;                     - Distance Determined by Independent Source (Mpc)
+&quot;__x_ra_dec&quot;                   - System unit vector column
+class                          - Browse Object Classification
+bmag                           - B Magnitude
+luminosity_class               - Luminosity Class
 </pre></div>
 </div>
 </div>
 </div>
 </section>
 <section id="perform-a-query">
-<h4>Perform a Query<a class="headerlink" href="#perform-a-query" title="Permalink to this headline">#</a></h4>
+<h4>Perform a Query<a class="headerlink" href="#perform-a-query" title="Link to this heading">#</a></h4>
 <p>Example:  Perform a cone search on the ZCAT catalog at M83 with a 1.0 degree radius.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1972,7 +2000,7 @@ <h4>Perform a Query<a class="headerlink" href="#perform-a-query" title="Permalin
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=13</i>
-<table id="table140225317616800" class="table-striped table-bordered table-condensed">
+<table id="table139864543829088" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ra</th><th>dec</th><th>radial_velocity</th><th>radial_velocity_error</th><th>bmag</th><th>morph_type</th></tr></thead>
 <thead><tr><th>deg</th><th>deg</th><th>km / s</th><th>km / s</th><th></th><th></th></tr></thead>
 <thead><tr><th>float64</th><th>float64</th><th>int32</th><th>int16</th><th>float32</th><th>int16</th></tr></thead>
@@ -1995,7 +2023,7 @@ <h4>Perform a Query<a class="headerlink" href="#perform-a-query" title="Permalin
 </section>
 </section>
 <section id="astroquery">
-<h2>3. Astroquery<a class="headerlink" href="#astroquery" title="Permalink to this headline">#</a></h2>
+<h2>3. Astroquery<a class="headerlink" href="#astroquery" title="Link to this heading">#</a></h2>
 <p>Many archives have Astroquery or Astroquery-compliant modules for data access, including:</p>
 <ul class="simple">
 <li><p>Astroquery</p>
@@ -2019,7 +2047,7 @@ <h2>3. Astroquery<a class="headerlink" href="#astroquery" title="Permalink to th
 </ul>
 <p>For more, see <a class="reference external" href="https://astroquery.readthedocs.io/en/latest/">https://astroquery.readthedocs.io/en/latest/</a></p>
 <section id="ned">
-<h3>3.1 NED<a class="headerlink" href="#ned" title="Permalink to this headline">#</a></h3>
+<h3>3.1 NED<a class="headerlink" href="#ned" title="Link to this heading">#</a></h3>
 <p>Example:  Get an Astropy Table containing the objects from paper 2018ApJ…858…62K.  For more on the API, see <a class="reference external" href="https://astroquery.readthedocs.io/en/latest/ipac/ned/ned.html">astroquery</a></p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -2031,30 +2059,29 @@ <h3>3.1 NED<a class="headerlink" href="#ned" title="Permalink to this headline">
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=41</i>
-<table id="table140224823049952" class="table-striped table-bordered table-condensed">
+<table id="table139864544236720" class="table-striped table-bordered table-condensed">
 <thead><tr><th>No.</th><th>Object Name</th><th>RA</th><th>DEC</th><th>Type</th><th>Velocity</th><th>Redshift</th><th>Redshift Flag</th><th>Magnitude and Filter</th><th>Separation</th><th>References</th><th>Notes</th><th>Photometry Points</th><th>Positions</th><th>Redshift Points</th><th>Diameter Points</th><th>Associations</th></tr></thead>
 <thead><tr><th></th><th></th><th>degrees</th><th>degrees</th><th></th><th>km / s</th><th></th><th></th><th></th><th>arcmin</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>
 <thead><tr><th>int32</th><th>str30</th><th>float64</th><th>float64</th><th>object</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>float64</th><th>int32</th><th>int32</th><th>int32</th><th>int32</th><th>int32</th><th>int32</th><th>int32</th></tr></thead>
-<tr><td>1</td><td>WISEA J115844.06+273505.3</td><td>179.68371</td><td>27.585</td><td>G</td><td>106.0</td><td>0.000354</td><td>SLS</td><td>17.2g</td><td>--</td><td>27</td><td>0</td><td>22</td><td>12</td><td>7</td><td>0</td><td>0</td></tr>
-<tr><td>2</td><td>KUG 1207+367</td><td>182.48529</td><td>36.43433</td><td>G</td><td>341.0</td><td>0.001137</td><td>SUN</td><td>15.5</td><td>--</td><td>38</td><td>0</td><td>28</td><td>17</td><td>7</td><td>4</td><td>0</td></tr>
-<tr><td>3</td><td>NGC 4244</td><td>184.37358</td><td>37.80711</td><td>G</td><td>244.0</td><td>0.000815</td><td>SUN</td><td>10.88</td><td>--</td><td>469</td><td>15</td><td>94</td><td>52</td><td>25</td><td>7</td><td>1</td></tr>
+<tr><td>1</td><td>WISEA J115844.06+273505.3</td><td>179.68371</td><td>27.585</td><td>G</td><td>106.0</td><td>0.000354</td><td>SLS</td><td>17.2g</td><td>--</td><td>28</td><td>0</td><td>22</td><td>14</td><td>7</td><td>0</td><td>0</td></tr>
+<tr><td>2</td><td>KUG 1207+367</td><td>182.48529</td><td>36.43433</td><td>G</td><td>341.0</td><td>0.001137</td><td>SUN</td><td>15.5</td><td>--</td><td>39</td><td>0</td><td>28</td><td>18</td><td>7</td><td>4</td><td>0</td></tr>
+<tr><td>3</td><td>NGC 4244</td><td>184.37358</td><td>37.80711</td><td>G</td><td>244.0</td><td>0.000815</td><td>SUN</td><td>10.88</td><td>--</td><td>470</td><td>15</td><td>94</td><td>52</td><td>25</td><td>7</td><td>1</td></tr>
 <tr><td>4</td><td>SDSS J121731.98+323157.7</td><td>184.38329</td><td>32.53271</td><td>G</td><td>447.0</td><td>0.001492</td><td>SLS</td><td>17.95</td><td>--</td><td>6</td><td>0</td><td>15</td><td>6</td><td>2</td><td>4</td><td>0</td></tr>
-<tr><td>5</td><td>SDSS J121811.04+465501.2</td><td>184.54614</td><td>46.91685</td><td>G</td><td>402.0</td><td>0.001341</td><td>SLS</td><td>17.75</td><td>--</td><td>20</td><td>0</td><td>37</td><td>18</td><td>11</td><td>4</td><td>0</td></tr>
-<tr><td>6</td><td>VCC 0530</td><td>185.53154</td><td>15.79911</td><td>G</td><td>1299.0</td><td>0.004333</td><td>SUN</td><td>15.8</td><td>--</td><td>67</td><td>1</td><td>20</td><td>23</td><td>13</td><td>3</td><td>3</td></tr>
-<tr><td>7</td><td>PGC1 0040692 NED033</td><td>186.37146</td><td>28.48244</td><td>G</td><td>483.0</td><td>0.001611</td><td>SUN</td><td>16.47</td><td>--</td><td>39</td><td>0</td><td>7</td><td>14</td><td>8</td><td>0</td><td>0</td></tr>
+<tr><td>5</td><td>SDSS J121811.04+465501.2</td><td>184.54614</td><td>46.91685</td><td>G</td><td>402.0</td><td>0.001341</td><td>SLS</td><td>17.75</td><td>--</td><td>21</td><td>0</td><td>37</td><td>19</td><td>11</td><td>4</td><td>0</td></tr>
+<tr><td>6</td><td>VCC 0530</td><td>185.53154</td><td>15.79911</td><td>G</td><td>1299.0</td><td>0.004333</td><td>SUN</td><td>15.8</td><td>--</td><td>68</td><td>1</td><td>20</td><td>24</td><td>13</td><td>3</td><td>3</td></tr>
+<tr><td>7</td><td>PGC1 0040692 NED033</td><td>186.37146</td><td>28.48244</td><td>G</td><td>483.0</td><td>0.001611</td><td>SUN</td><td>16.47</td><td>--</td><td>40</td><td>0</td><td>7</td><td>15</td><td>8</td><td>0</td><td>0</td></tr>
 <tr><td>8</td><td>UGC 07512</td><td>186.42223</td><td>2.15898</td><td>G</td><td>1505.0</td><td>0.00502</td><td>SUN</td><td>15.00</td><td>--</td><td>64</td><td>1</td><td>21</td><td>17</td><td>12</td><td>4</td><td>0</td></tr>
-<tr><td>9</td><td>NGC 4395</td><td>186.45359</td><td>33.54693</td><td>G</td><td>319.0</td><td>0.001064</td><td>SUN</td><td>10.64</td><td>--</td><td>860</td><td>31</td><td>210</td><td>101</td><td>58</td><td>17</td><td>0</td></tr>
+<tr><td>9</td><td>NGC 4395</td><td>186.45359</td><td>33.54693</td><td>G</td><td>319.0</td><td>0.001064</td><td>SUN</td><td>10.64</td><td>--</td><td>868</td><td>31</td><td>210</td><td>103</td><td>59</td><td>17</td><td>0</td></tr>
 <tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>
-<tr><td>32</td><td>NGC 4789A</td><td>193.52187</td><td>27.14964</td><td>G</td><td>364.0</td><td>0.001214</td><td>S1L</td><td>13.94</td><td>--</td><td>436</td><td>8</td><td>114</td><td>50</td><td>22</td><td>8</td><td>0</td></tr>
-<tr><td>33</td><td>LSBC D575-05</td><td>193.921</td><td>19.20908</td><td>G</td><td>419.0</td><td>0.001396</td><td>S1L</td><td>16.52</td><td>--</td><td>44</td><td>1</td><td>2</td><td>16</td><td>8</td><td>0</td><td>0</td></tr>
-<tr><td>34</td><td>MESSIER 064</td><td>194.18184</td><td>21.68297</td><td>G</td><td>409.0</td><td>0.001364</td><td>S1L</td><td>9.36</td><td>--</td><td>818</td><td>24</td><td>298</td><td>90</td><td>32</td><td>10</td><td>0</td></tr>
-<tr><td>35</td><td>UGC 08061</td><td>194.1835</td><td>11.93203</td><td>G</td><td>569.0</td><td>0.001898</td><td>UUN</td><td>15.5B</td><td>--</td><td>47</td><td>2</td><td>15</td><td>19</td><td>13</td><td>3</td><td>5</td></tr>
+<tr><td>33</td><td>LSBC D575-05</td><td>193.921</td><td>19.20908</td><td>G</td><td>419.0</td><td>0.001396</td><td>S1L</td><td>16.52</td><td>--</td><td>45</td><td>1</td><td>2</td><td>17</td><td>8</td><td>0</td><td>0</td></tr>
+<tr><td>34</td><td>MESSIER 064</td><td>194.18184</td><td>21.68297</td><td>G</td><td>409.0</td><td>0.001364</td><td>S1L</td><td>9.36</td><td>--</td><td>827</td><td>24</td><td>298</td><td>91</td><td>32</td><td>10</td><td>0</td></tr>
+<tr><td>35</td><td>UGC 08061</td><td>194.1835</td><td>11.93203</td><td>G</td><td>569.0</td><td>0.001898</td><td>UUN</td><td>15.5B</td><td>--</td><td>48</td><td>2</td><td>15</td><td>20</td><td>13</td><td>3</td><td>5</td></tr>
 <tr><td>36</td><td>KK 176</td><td>194.98458</td><td>-19.41306</td><td>G</td><td>825.0</td><td>0.002753</td><td>SUN</td><td>17.5</td><td>--</td><td>31</td><td>0</td><td>19</td><td>13</td><td>9</td><td>2</td><td>0</td></tr>
 <tr><td>37</td><td>UGCA 319</td><td>195.55994</td><td>-17.23754</td><td>G</td><td>755.0</td><td>0.002518</td><td>UUN</td><td>15.33</td><td>--</td><td>68</td><td>2</td><td>46</td><td>26</td><td>8</td><td>3</td><td>0</td></tr>
-<tr><td>38</td><td>IC 4107</td><td>195.67446</td><td>21.99739</td><td>G</td><td>267.0</td><td>0.000892</td><td>SLS</td><td>17.4g</td><td>--</td><td>20</td><td>0</td><td>20</td><td>11</td><td>5</td><td>4</td><td>0</td></tr>
-<tr><td>39</td><td>UGCA 320</td><td>195.81975</td><td>-17.42303</td><td>G</td><td>742.0</td><td>0.002475</td><td>UUN</td><td>13.78</td><td>--</td><td>119</td><td>7</td><td>64</td><td>27</td><td>13</td><td>6</td><td>0</td></tr>
+<tr><td>38</td><td>IC 4107</td><td>195.67446</td><td>21.99739</td><td>G</td><td>267.0</td><td>0.000892</td><td>SLS</td><td>17.4g</td><td>--</td><td>21</td><td>0</td><td>20</td><td>12</td><td>5</td><td>4</td><td>0</td></tr>
+<tr><td>39</td><td>UGCA 320</td><td>195.81975</td><td>-17.42303</td><td>G</td><td>742.0</td><td>0.002475</td><td>UUN</td><td>13.78</td><td>--</td><td>120</td><td>7</td><td>64</td><td>27</td><td>13</td><td>6</td><td>0</td></tr>
 <tr><td>40</td><td>KDG 218</td><td>196.43278</td><td>-7.75884</td><td>G</td><td>--</td><td>--</td><td></td><td>20.35</td><td>--</td><td>12</td><td>0</td><td>1</td><td>7</td><td>0</td><td>0</td><td>0</td></tr>
-<tr><td>41</td><td>NGC 5068</td><td>199.72837</td><td>-21.03911</td><td>G</td><td>670.0</td><td>0.002235</td><td>UUN</td><td>10.52</td><td>--</td><td>304</td><td>12</td><td>72</td><td>43</td><td>15</td><td>18</td><td>0</td></tr>
+<tr><td>41</td><td>NGC 5068</td><td>199.72837</td><td>-21.03911</td><td>G</td><td>670.0</td><td>0.002235</td><td>UUN</td><td>10.52</td><td>--</td><td>310</td><td>12</td><td>72</td><td>44</td><td>15</td><td>18</td><td>0</td></tr>
 </table></div></div></div>
 </div>
 </section>
@@ -2067,11 +2094,10 @@ <h3>3.1 NED<a class="headerlink" href="#ned" title="Permalink to this headline">
 
               
               
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@@ -1,13 +1,12 @@
 
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    class="btn btn-sm dropdown-item"
-   title="Launch onBinder"
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@@ -244,14 +270,14 @@
       
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    class="btn btn-sm dropdown-item"
-   title="Launch onColab"
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+    <img alt="Colab logo" src="../../_static/images/logo_colab.png">
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 <span class="btn__text-container">Colab</span>
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@@ -406,26 +432,28 @@
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@@ -469,32 +497,32 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section id="catalog-queries">
-<h1>Catalog Queries<a class="headerlink" href="#catalog-queries" title="Permalink to this headline">#</a></h1>
+<h1>Catalog Queries<a class="headerlink" href="#catalog-queries" title="Link to this heading">#</a></h1>
 <p>There are two ways to access astronomical data catalogs that are provided as table data with a VO API.</p>
 <p>First, there is a <strong><a class="reference external" href="http://www.ivoa.net/documents/latest/ConeSearch.html">Simple Cone Search (SCS) protocol</a></strong>  used to search a given table with a given position and radius, getting back a table of results.  The interface requires only a position and search radius.</p>
 <p>For more complicated searches, the <strong><a class="reference external" href="http://www.ivoa.net/documents/TAP/">Table Access Protocol</a></strong> (TAP) protocol is  a powerful tool to search any VO table.  Here, we expand on its usage and that of the <strong><a class="reference external" href="http://www.ivoa.net/documents/latest/ADQL.html">Astronomical Data Query Language</a></strong> (ADQL) that it uses.</p>
 <ul class="simple">
-<li><p><a class="reference internal" href="#catalog-queries"><span class="std std-doc">Catalog Queries</span></a></p>
+<li><p><a class="reference internal" href="#catalog-queries">Catalog Queries</a></p>
 <ul>
-<li><p><a class="reference internal" href="#simple-cone-search"><span class="std std-doc">1. Simple cone search</span></a></p></li>
-<li><p><a class="reference internal" href="#table-access-protocol-queries"><span class="std std-doc">2. Table Access Protocol queries</span></a></p>
+<li><p><a class="reference internal" href="#simple-cone-search">1. Simple cone search</a></p></li>
+<li><p><a class="reference internal" href="#table-access-protocol-queries">2. Table Access Protocol queries</a></p>
 <ul>
-<li><p><a class="reference internal" href="#tap-services"><span class="std std-doc">2.1 TAP services</span></a></p></li>
-<li><p><a class="reference internal" href="#expressing-queries-in-adql"><span class="std std-doc">2.2 Expressing queries in ADQL</span></a></p></li>
-<li><p><a class="reference internal" href="#a-use-case"><span class="std std-doc">2.3 A use case</span></a></p></li>
-<li><p><a class="reference internal" href="#tap-examples-for-a-given-service"><span class="std std-doc">2.4 TAP examples for a given service</span></a></p></li>
+<li><p><a class="reference internal" href="#tap-services">2.1 TAP services</a></p></li>
+<li><p><a class="reference internal" href="#expressing-queries-in-adql">2.2 Expressing queries in ADQL</a></p></li>
+<li><p><a class="reference internal" href="#a-use-case">2.3 A use case</a></p></li>
+<li><p><a class="reference internal" href="#tap-examples-for-a-given-service">2.4 TAP examples for a given service</a></p></li>
 </ul>
 </li>
-<li><p><a class="reference internal" href="#using-the-tap-to-cross-correlate-and-combine"><span class="std std-doc">3. Using the TAP to cross-correlate and combine</span></a></p>
+<li><p><a class="reference internal" href="#using-the-tap-to-cross-correlate-and-combine">3. Using the TAP to cross-correlate and combine</a></p>
 <ul>
-<li><p><a class="reference internal" href="#cross-correlating-to-combine-catalogs"><span class="std std-doc">3.1 Cross-correlating to combine catalogs</span></a></p></li>
-<li><p><a class="reference internal" href="#cross-correlating-with-user-defined-columns"><span class="std std-doc">3.2 Cross-correlating with user-defined columns</span></a></p></li>
+<li><p><a class="reference internal" href="#cross-correlating-to-combine-catalogs">3.1 Cross-correlating to combine catalogs</a></p></li>
+<li><p><a class="reference internal" href="#cross-correlating-with-user-defined-columns">3.2 Cross-correlating with user-defined columns</a></p></li>
 </ul>
 </li>
-<li><p><a class="reference internal" href="#synchronous-versus-asynchronous-queries"><span class="std std-doc">4. Synchronous versus asynchronous queries</span></a></p></li>
+<li><p><a class="reference internal" href="#synchronous-versus-asynchronous-queries">4. Synchronous versus asynchronous queries</a></p></li>
 </ul>
 </li>
 </ul>
@@ -523,7 +551,7 @@ <h1>Catalog Queries<a class="headerlink" href="#catalog-queries" title="Permalin
 </div>
 </div>
 <section id="simple-cone-search">
-<h2>1. Simple cone search<a class="headerlink" href="#simple-cone-search" title="Permalink to this headline">#</a></h2>
+<h2>1. Simple cone search<a class="headerlink" href="#simple-cone-search" title="Link to this heading">#</a></h2>
 <p>Starting with a single simple source first:</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -534,7 +562,7 @@ <h2>1. Simple cone search<a class="headerlink" href="#simple-cone-search" title=
 </div>
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;SkyCoord (ICRS): (ra, dec) in deg
-    (202.469575, 47.1952583)&gt;
+    (202.484167, 47.230556)&gt;
 </pre></div>
 </div>
 </div>
@@ -557,7 +585,7 @@ <h2>1. Simple cone search<a class="headerlink" href="#simple-cone-search" title=
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=6</i>
-<table id="table139859596846432" class="table-striped table-bordered table-condensed">
+<table id="table140505586338160" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ivoid</th><th>short_name</th><th>res_title</th></tr></thead>
 <thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>
 <tr><td>ivo://cds.vizier/j/mnras/339/652</td><td>J/MNRAS/339/652</td><td>The FLASH Redshift Survey</td></tr>
@@ -583,21 +611,21 @@ <h2>1. Simple cone search<a class="headerlink" href="#simple-cone-search" title=
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=2</i>
-<table id="table139859595405360" class="table-striped table-bordered table-condensed">
+<table id="table140505584883248" class="table-striped table-bordered table-condensed">
 <thead><tr><th>__row</th><th>name</th><th>ra</th><th>dec</th><th>bmag</th><th>radial_velocity</th><th>radial_velocity_error</th><th>redshift</th><th>class</th><th>Search_Offset</th></tr></thead>
 <thead><tr><th></th><th></th><th>deg</th><th>deg</th><th></th><th>km / s</th><th>km / s</th><th></th><th></th><th></th></tr></thead>
 <thead><tr><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float32</th><th>int32</th><th>int16</th><th>float64</th><th>int16</th><th>float64</th></tr></thead>
-<tr><td>52427</td><td>N5194</td><td>202.46823</td><td>47.19815</td><td>9.03</td><td>474</td><td>23</td><td>--</td><td>6200</td><td>0.1819</td></tr>
-<tr><td>52452</td><td>N5195</td><td>202.49491</td><td>47.26792</td><td>10.94</td><td>558</td><td>23</td><td>--</td><td>6200</td><td>4.4802</td></tr>
+<tr><td>52427</td><td>N5194</td><td>202.46823</td><td>47.19815</td><td>9.03</td><td>474</td><td>23</td><td>--</td><td>6200</td><td>2.0500</td></tr>
+<tr><td>52452</td><td>N5195</td><td>202.49491</td><td>47.26792</td><td>10.94</td><td>558</td><td>23</td><td>--</td><td>6200</td><td>2.2841</td></tr>
 </table></div></div></div>
 </div>
 <p>The SCS is quite straightforward and returns all of the columns of the given table (which can be anything) for the sources in the region queried.</p>
 </section>
 <section id="table-access-protocol-queries">
-<h2>2. Table Access Protocol queries<a class="headerlink" href="#table-access-protocol-queries" title="Permalink to this headline">#</a></h2>
+<h2>2. Table Access Protocol queries<a class="headerlink" href="#table-access-protocol-queries" title="Link to this heading">#</a></h2>
 <p>A TAP query is the most powerful way to search a catalog. A Simple Cone Search only allows you to ask for a position and radius, but TAP allows you to do much more, since the available tables contain much more information.</p>
 <section id="tap-services">
-<h3>2.1 TAP services<a class="headerlink" href="#tap-services" title="Permalink to this headline">#</a></h3>
+<h3>2.1 TAP services<a class="headerlink" href="#tap-services" title="Link to this heading">#</a></h3>
 <p>Many services list a single TAP service in the Registry that can access many catalogs, boosting your efficiency, and letting you add constraints based on any column. This is the power of the TAP!</p>
 <p>Suppose for our example, we want to select bright galaxy candidates but don’t know the coordinates. Therefore, we start from figuring out the best table to query.</p>
 <p>As before, we use the <code class="docutils literal notranslate"><span class="pre">vo.regsearch()</span></code> for a servicetype ‘tap’.  There are a lot of TAP services in the registry, but they are listed slightly differently than cone services.  The metadata on each catalog is usually published in the registry with its cone service, and then the full TAP service is listed as an “auxiliary” service.  So to find a TAP service for a given catalog, we need to add the option <em>includeaux=True</em>. Alternatively, you can start with a single TAP service and then ask it specifically which tables it serves, but for this use case, that is less efficient.</p>
@@ -611,7 +639,7 @@ <h3>2.1 TAP services<a class="headerlink" href="#tap-services" title="Permalink
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=20</i>
-<table id="table139859592459840" class="table-striped table-bordered table-condensed">
+<table id="table140506515858448" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ivoid</th><th>short_name</th><th>res_title</th></tr></thead>
 <thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>
 <tr><td>ivo://cds.vizier/j/a+a/408/905</td><td>J/A+A/408/905</td><td>Very Luminous Galaxies</td></tr>
@@ -654,9 +682,9 @@ <h3>2.1 TAP services<a class="headerlink" href="#tap-services" title="Permalink
 
 ivo://cds.vizier/vii/84a:  The catalog contains statistically homogeneous groups of galaxies based on the Harvard-Smithsonian Center for Astrophysics (CfA) redshift survey. Groups in the catalog are all density enhancements in redshift space of a factor greater than 20. All groups contain at least three members. There are 176 groups in the catalog and 102 groups have been identified in one or more previous studies. The catalog includes group numbers, numbers of members, equatorial coordinates, mean flow-corrected galactocentric velocities, line-of-sight-velocity dispersion, integrated group magnitudes, crossing times for the groups, and mean harmonic radii of the groups.
 
-ivo://nasa.heasarc/cfa2s:  The Center for Astrophysics (CfA) Redshift Survey South Galactic Cap (CFA2S) Catalog contains redshifts for a sample of about 4300 galaxies with blue (Zwicky B(0) type) magnitude &amp;lt;= 15.5 covering the range from 20 h to 4h in right ascension and from -2.5 deg to 90 deg in declination. This sample is complete for all galaxies in the merge of the Zwicky et al. and Nilson catalogs in the south Galactic cap. Redshifts for 2964 of these were measured as part of the second CfA Redshift Survey. The data reveal large voids in the foreground and background of the Perseus-Pisces Supercluster. The largest of these voids lies at a mean velocity ~ 8000km/s, has diameter of ~ 5000km/s, and is enclosed by a complex of dense structures. The large structure known as the Perseus-Pisces Supercluster forms the near side of this complex. On the far side of this large void, at a mean velocity of ~ 12000km/s, there is another coherent dense wall. The structures in this survey support the view that galaxies generally lie on surfaces surrounding or nearly surrounding low-density regions or voids.
+ivo://nasa.heasarc/cfa2s:  The Center for Astrophysics (CfA) Redshift Survey South Galactic Cap (CFA2S) Catalog contains redshifts for a sample of about 4300 galaxies with blue (Zwicky B(0) type) magnitude &amp;lt;= 15.5 covering the range from 20 h to 4h in right ascension and from -2.5 deg to 90 deg in declination. This sample is complete for all galaxies in the merge of the Zwicky et al. and Nilson catalogs in the south Galactic cap. Redshifts for 2964 of these were measured as part of the second CfA Redshift Survey. The data reveal large voids in the foreground and background of the Perseus-Pisces Supercluster. The largest of these voids lies at a mean velocity ~ 8000km/s, has diameter of ~ 5000km/s, and is enclosed by a complex of dense structures. The large structure known as the Perseus-Pisces Supercluster forms the near side of this complex. On the far side of this large void, at a mean velocity of ~ 12000km/s, there is another coherent dense wall. The structures in this survey support the view that galaxies generally lie on surfaces surrounding or nearly surrounding low-density regions or voids. This table was created by the HEASARC in March 2005 based on CDS table J/ApJS/121/287/cfa2s.dat.gz This is a service provided by NASA HEASARC .
 
-ivo://nasa.heasarc/zcat:  The ZCAT database contains the CfA Redshift Catalog, which incorporates much of the latest velocity data from the Whipple Observatory and other sources, as well as velocities from earlier compilations such as the &amp;quot;Second Reference Catalog&amp;quot; of de Vaucouleurs, de Vaucouleurs, and Corwin; the &amp;quot;Index of Galaxy Spectra&amp;quot; of Gisler and Friel; and the &amp;quot;Catalog of Radial Velocities of Galaxies&amp;quot; of Palumbo, Tanzella-Nitti, and Vettolani. It includes BT magnitudes, some UGC numbers, and increased &amp;quot;accuracy&amp;quot; in the velocity source information. The data presented here have primarily been assembled for the purpose of studying the large scale structure of the universe, and, as such, are nearly complete in redshift information, but are not necessarily complete in such categories as diameter, magnitude, and cross-references to other catalogues.
+ivo://nasa.heasarc/zcat:  The ZCAT database contains the CfA Redshift Catalog, which incorporates much of the latest velocity data from the Whipple Observatory and other sources, as well as velocities from earlier compilations such as the &amp;quot;Second Reference Catalog&amp;quot; of de Vaucouleurs, de Vaucouleurs, and Corwin; the &amp;quot;Index of Galaxy Spectra&amp;quot; of Gisler and Friel; and the &amp;quot;Catalog of Radial Velocities of Galaxies&amp;quot; of Palumbo, Tanzella-Nitti, and Vettolani. It includes BT magnitudes, some UGC numbers, and increased &amp;quot;accuracy&amp;quot; in the velocity source information. The data presented here have primarily been assembled for the purpose of studying the large scale structure of the universe, and, as such, are nearly complete in redshift information, but are not necessarily complete in such categories as diameter, magnitude, and cross-references to other catalogues. The original HEASARC version was constructed based on an earlier version of the catalog and was released on November 15, 1996. The HEASARC created the current version of ZCAT in February 2001 based on CDS/ADC Catalog VII/193, &amp;quot;The CfA Redshift Catalogue&amp;quot;, Version June 1995, tables &amp;lt;a href=&quot;https://cdsarc.cds.unistra.fr/ftp/cats/VII/193/zcat.dat&quot;&amp;gt;https://cdsarc.cds.unistra.fr/ftp/cats/VII/193/zcat.dat&amp;lt;/a&amp;gt; and zbig.dat. The former table contains the main body of the CFA Redshift Catalog (57536 objects) and entries from it are distinguishable in the current database by having either listed radial velocity values but not redshifts or neither, while the latter table contains 1202 high-redshift galaxies (distinguishable in the current database by their having listed redshift values but not radial velocities). This is a service provided by NASA HEASARC .
 </pre></div>
 </div>
 </div>
@@ -690,89 +718,89 @@ <h3>2.1 TAP services<a class="headerlink" href="#tap-services" title="Permalink
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>abellzcat
     Abell Clusters Measured Redshifts Catalog
 
-Columns=[&#39;__row&#39;, &#39;__x_ra_dec&#39;, &#39;__y_ra_dec&#39;, &#39;__z_ra_dec&#39;, &#39;abell_distance_class&#39;, &#39;abell_radius&#39;, &#39;abell_richness_class&#39;, &#39;bautz_morgan_class&#39;, &#39;bautz_morgan_flag&#39;, &#39;bii&#39;, &#39;class&#39;, &#39;dec&#39;, &#39;lii&#39;, &#39;log_redshift_ratio&#39;, &#39;mag_10&#39;, &#39;name&#39;, &#39;ra&#39;, &#39;redshift&#39;, &#39;redshift_flag&#39;, &#39;ref_redshift&#39;]
+Columns=[&#39;&quot;__row&quot;&#39;, &#39;&quot;__x_ra_dec&quot;&#39;, &#39;&quot;__y_ra_dec&quot;&#39;, &#39;&quot;__z_ra_dec&quot;&#39;, &#39;abell_distance_class&#39;, &#39;abell_radius&#39;, &#39;abell_richness_class&#39;, &#39;bautz_morgan_class&#39;, &#39;bautz_morgan_flag&#39;, &#39;bii&#39;, &#39;class&#39;, &#39;dec&#39;, &#39;lii&#39;, &#39;log_redshift_ratio&#39;, &#39;mag_10&#39;, &#39;name&#39;, &#39;ra&#39;, &#39;redshift&#39;, &#39;redshift_flag&#39;, &#39;ref_redshift&#39;]
 ----
 atlasspecz
     AT Large Area Survey (ATLAS) Spectroscopic Classes &amp; Redshifts C
 
-Columns=[&#39;__row&#39;, &#39;__x_ra_dec&#39;, &#39;__y_ra_dec&#39;, &#39;__z_ra_dec&#39;, &#39;abs_rmag&#39;, &#39;bii&#39;, &#39;bmag&#39;, &#39;broad_type&#39;, &#39;dec&#39;, &#39;flux_1p4_ghz&#39;, &#39;lii&#39;, &#39;log_lum_1p4_ghz&#39;, &#39;name&#39;, &#39;ra&#39;, &#39;redshift&#39;, &#39;rmag&#39;, &#39;source_id&#39;]
+Columns=[&#39;&quot;__row&quot;&#39;, &#39;&quot;__x_ra_dec&quot;&#39;, &#39;&quot;__y_ra_dec&quot;&#39;, &#39;&quot;__z_ra_dec&quot;&#39;, &#39;abs_rmag&#39;, &#39;bii&#39;, &#39;bmag&#39;, &#39;broad_type&#39;, &#39;dec&#39;, &#39;flux_1p4_ghz&#39;, &#39;lii&#39;, &#39;log_lum_1p4_ghz&#39;, &#39;name&#39;, &#39;ra&#39;, &#39;redshift&#39;, &#39;rmag&#39;, &#39;source_id&#39;]
 ----
 ccosmphotz
     Chandra COSMOS (C-COSMOS) Survey Photometric Redshift Catalog
 
-Columns=[&#39;__row&#39;, &#39;__x_ra_dec&#39;, &#39;__y_ra_dec&#39;, &#39;__z_ra_dec&#39;, &#39;best_fit_template&#39;, &#39;bii&#39;, &#39;dec&#39;, &#39;ilbert_source_number&#39;, &#39;lii&#39;, &#39;morph_class&#39;, &#39;name&#39;, &#39;phot_redshift&#39;, &#39;phot_redshift_max&#39;, &#39;phot_redshift_min&#39;, &#39;ra&#39;, &#39;redshift_pdf&#39;, &#39;source_number&#39;, &#39;variability&#39;]
+Columns=[&#39;&quot;__row&quot;&#39;, &#39;&quot;__x_ra_dec&quot;&#39;, &#39;&quot;__y_ra_dec&quot;&#39;, &#39;&quot;__z_ra_dec&quot;&#39;, &#39;best_fit_template&#39;, &#39;bii&#39;, &#39;dec&#39;, &#39;ilbert_source_number&#39;, &#39;lii&#39;, &#39;morph_class&#39;, &#39;name&#39;, &#39;phot_redshift&#39;, &#39;phot_redshift_max&#39;, &#39;phot_redshift_min&#39;, &#39;ra&#39;, &#39;redshift_pdf&#39;, &#39;source_number&#39;, &#39;variability&#39;]
 ----
 cfa2s
     CfA Redshift Survey: South Galactic Cap Data
 
-Columns=[&#39;__row&#39;, &#39;__x_ra_dec&#39;, &#39;__y_ra_dec&#39;, &#39;__z_ra_dec&#39;, &#39;bar_type&#39;, &#39;bii&#39;, &#39;bmag&#39;, &#39;class&#39;, &#39;dec&#39;, &#39;lii&#39;, &#39;luminosity_class&#39;, &#39;major_axis&#39;, &#39;minor_axis&#39;, &#39;morph_type&#39;, &#39;name&#39;, &#39;notes&#39;, &#39;peculiar_type&#39;, &#39;ra&#39;, &#39;radial_velocity&#39;, &#39;radial_velocity_error&#39;, &#39;ref_bmag&#39;, &#39;ref_radial_velocity&#39;, &#39;ugc_multiplicity&#39;, &#39;ugc_number&#39;]
+Columns=[&#39;&quot;__row&quot;&#39;, &#39;&quot;__x_ra_dec&quot;&#39;, &#39;&quot;__y_ra_dec&quot;&#39;, &#39;&quot;__z_ra_dec&quot;&#39;, &#39;bar_type&#39;, &#39;bii&#39;, &#39;bmag&#39;, &#39;class&#39;, &#39;dec&#39;, &#39;lii&#39;, &#39;luminosity_class&#39;, &#39;major_axis&#39;, &#39;minor_axis&#39;, &#39;morph_type&#39;, &#39;name&#39;, &#39;notes&#39;, &#39;peculiar_type&#39;, &#39;ra&#39;, &#39;radial_velocity&#39;, &#39;radial_velocity_error&#39;, &#39;ref_bmag&#39;, &#39;ref_radial_velocity&#39;, &#39;ugc_multiplicity&#39;, &#39;ugc_number&#39;]
 ----
 iraspscz
     IRAS Point Source Catalog Redshift (PSCz) Catalog
 
-Columns=[&#39;__row&#39;, &#39;__x_ra_dec&#39;, &#39;__y_ra_dec&#39;, &#39;__z_ra_dec&#39;, &#39;alt_name&#39;, &#39;bii&#39;, &#39;class&#39;, &#39;dec&#39;, &#39;flux_60um&#39;, &#39;hex_hsd_flag&#39;, &#39;lii&#39;, &#39;lune_bin_100_um_bck&#39;, &#39;lune_bin_bmag_extinction&#39;, &#39;lune_bin_number&#39;, &#39;name&#39;, &#39;number_hcon_coverages&#39;, &#39;optical_class_code&#39;, &#39;ra&#39;, &#39;radial_velocity&#39;, &#39;radial_velocity_error&#39;, &#39;ratio_100_to_60_um_flux&#39;, &#39;redshift_status&#39;, &#39;ref_radial_velocity&#39;, &#39;source_sample&#39;, &#39;source_type&#39;]
+Columns=[&#39;&quot;__row&quot;&#39;, &#39;&quot;__x_ra_dec&quot;&#39;, &#39;&quot;__y_ra_dec&quot;&#39;, &#39;&quot;__z_ra_dec&quot;&#39;, &#39;alt_name&#39;, &#39;bii&#39;, &#39;class&#39;, &#39;dec&#39;, &#39;flux_60um&#39;, &#39;hex_hsd_flag&#39;, &#39;lii&#39;, &#39;lune_bin_100_um_bck&#39;, &#39;lune_bin_bmag_extinction&#39;, &#39;lune_bin_number&#39;, &#39;name&#39;, &#39;number_hcon_coverages&#39;, &#39;optical_class_code&#39;, &#39;ra&#39;, &#39;radial_velocity&#39;, &#39;radial_velocity_error&#39;, &#39;ratio_100_to_60_um_flux&#39;, &#39;redshift_status&#39;, &#39;ref_radial_velocity&#39;, &#39;source_sample&#39;, &#39;source_type&#39;]
 ----
 iraszsurv
     IRAS 1.2-Jy Redshift Survey
 
-Columns=[&#39;__row&#39;, &#39;__x_ra_dec&#39;, &#39;__y_ra_dec&#39;, &#39;__z_ra_dec&#39;, &#39;bii&#39;, &#39;cirrus_flag&#39;, &#39;class&#39;, &#39;comments&#39;, &#39;dec&#39;, &#39;extend_flag&#39;, &#39;helio_velocity&#39;, &#39;helio_velocity_error&#39;, &#39;lii&#39;, &#39;micron_flux_100&#39;, &#39;micron_flux_100_flag&#39;, &#39;micron_flux_12&#39;, &#39;micron_flux_12_flag&#39;, &#39;micron_flux_25&#39;, &#39;micron_flux_25_flag&#39;, &#39;micron_flux_60&#39;, &#39;micron_flux_60_flag&#39;, &#39;name&#39;, &#39;obj_id_flag&#39;, &#39;opt_mag&#39;, &#39;psc_id&#39;, &#39;ra&#39;, &#39;source&#39;, &#39;spectrum_flag&#39;, &#39;t_type&#39;, &#39;ugc_or_eso_number&#39;, &#39;var_flag&#39;]
+Columns=[&#39;&quot;__row&quot;&#39;, &#39;&quot;__x_ra_dec&quot;&#39;, &#39;&quot;__y_ra_dec&quot;&#39;, &#39;&quot;__z_ra_dec&quot;&#39;, &#39;bii&#39;, &#39;cirrus_flag&#39;, &#39;class&#39;, &#39;comments&#39;, &#39;dec&#39;, &#39;extend_flag&#39;, &#39;helio_velocity&#39;, &#39;helio_velocity_error&#39;, &#39;lii&#39;, &#39;micron_flux_100&#39;, &#39;micron_flux_100_flag&#39;, &#39;micron_flux_12&#39;, &#39;micron_flux_12_flag&#39;, &#39;micron_flux_25&#39;, &#39;micron_flux_25_flag&#39;, &#39;micron_flux_60&#39;, &#39;micron_flux_60_flag&#39;, &#39;name&#39;, &#39;obj_id_flag&#39;, &#39;opt_mag&#39;, &#39;psc_id&#39;, &#39;ra&#39;, &#39;source&#39;, &#39;spectrum_flag&#39;, &#39;t_type&#39;, &#39;ugc_or_eso_number&#39;, &#39;var_flag&#39;]
 ----
 lcrscat
     Las Campanas Redshift Survey Catalog
 
-Columns=[&#39;__row&#39;, &#39;__x_ra_dec&#39;, &#39;__y_ra_dec&#39;, &#39;__z_ra_dec&#39;, &#39;bii&#39;, &#39;broad_type&#39;, &#39;central_mag&#39;, &#39;class&#39;, &#39;dec&#39;, &#39;drift_scan&#39;, &#39;field_name&#39;, &#39;gsf_product&#39;, &#39;isophotal_mag&#39;, &#39;lii&#39;, &#39;name&#39;, &#39;nearby_radial_velocity&#39;, &#39;phot_cat_obj_num&#39;, &#39;ra&#39;, &#39;radial_velocity&#39;, &#39;radial_velocity_error&#39;, &#39;sf_product&#39;, &#39;spect_fiber&#39;]
+Columns=[&#39;&quot;__row&quot;&#39;, &#39;&quot;__x_ra_dec&quot;&#39;, &#39;&quot;__y_ra_dec&quot;&#39;, &#39;&quot;__z_ra_dec&quot;&#39;, &#39;bii&#39;, &#39;broad_type&#39;, &#39;central_mag&#39;, &#39;class&#39;, &#39;dec&#39;, &#39;drift_scan&#39;, &#39;field_name&#39;, &#39;gsf_product&#39;, &#39;isophotal_mag&#39;, &#39;lii&#39;, &#39;name&#39;, &#39;nearby_radial_velocity&#39;, &#39;phot_cat_obj_num&#39;, &#39;ra&#39;, &#39;radial_velocity&#39;, &#39;radial_velocity_error&#39;, &#39;sf_product&#39;, &#39;spect_fiber&#39;]
 ----
 lowzvlqvla
     VLA 6-GHz Observations of Low-Redshift SDSS QSOs
 
-Columns=[&#39;__row&#39;, &#39;__x_ra_dec&#39;, &#39;__y_ra_dec&#39;, &#39;__z_ra_dec&#39;, &#39;abs_imag&#39;, &#39;bii&#39;, &#39;dec&#39;, &#39;flux_6_ghz&#39;, &#39;flux_6_ghz_error&#39;, &#39;imag&#39;, &#39;int_flux_6_ghz&#39;, &#39;int_flux_6_ghz_error&#39;, &#39;lii&#39;, &#39;log_luminosity_6_ghz&#39;, &#39;name&#39;, &#39;off_set&#39;, &#39;peak_over_int_ratio&#39;, &#39;ra&#39;, &#39;radio_over_iband_ratio&#39;, &#39;redshift&#39;]
+Columns=[&#39;&quot;__row&quot;&#39;, &#39;&quot;__x_ra_dec&quot;&#39;, &#39;&quot;__y_ra_dec&quot;&#39;, &#39;&quot;__z_ra_dec&quot;&#39;, &#39;abs_imag&#39;, &#39;bii&#39;, &#39;dec&#39;, &#39;flux_6_ghz&#39;, &#39;flux_6_ghz_error&#39;, &#39;imag&#39;, &#39;int_flux_6_ghz&#39;, &#39;int_flux_6_ghz_error&#39;, &#39;lii&#39;, &#39;log_luminosity_6_ghz&#39;, &#39;name&#39;, &#39;off_set&#39;, &#39;peak_over_int_ratio&#39;, &#39;ra&#39;, &#39;radio_over_iband_ratio&#39;, &#39;redshift&#39;]
 ----
 planckhzsc
     Planck High-Redshift Source Candidates Catalog
 
-Columns=[&#39;__row&#39;, &#39;__x_ra_dec&#39;, &#39;__y_ra_dec&#39;, &#39;__z_ra_dec&#39;, &#39;bii&#39;, &#39;cc_sel_prob&#39;, &#39;dec&#39;, &#39;e_bv_aperture&#39;, &#39;e_bv_aperture_error&#39;, &#39;e_bv_mean&#39;, &#39;fir_lum_25k&#39;, &#39;fir_lum_25k_neg_err&#39;, &#39;fir_lum_25k_pos_err&#39;, &#39;fir_lum_30k&#39;, &#39;fir_lum_30k_neg_err&#39;, &#39;fir_lum_30k_pos_err&#39;, &#39;fir_lum_35k&#39;, &#39;fir_lum_35k_neg_err&#39;, &#39;fir_lum_35k_pos_err&#39;, &#39;fir_lum_40k&#39;, &#39;fir_lum_40k_neg_err&#39;, &#39;fir_lum_40k_pos_err&#39;, &#39;fir_lum_45k&#39;, &#39;fir_lum_45k_neg_err&#39;, &#39;fir_lum_45k_pos_err&#39;, &#39;fir_lum_50k&#39;, &#39;fir_lum_50k_neg_err&#39;, &#39;fir_lum_50k_pos_err&#39;, &#39;flux_217_ghz&#39;, &#39;flux_217_ghz_fit_err&#39;, &#39;flux_217_ghz_meas_err&#39;, &#39;flux_217_ghz_sky_err&#39;, &#39;flux_353_ghz&#39;, &#39;flux_353_ghz_fit_err&#39;, &#39;flux_353_ghz_meas_err&#39;, &#39;flux_353_ghz_sky_err&#39;, &#39;flux_545_ghz&#39;, &#39;flux_545_ghz_fit_err&#39;, &#39;flux_545_ghz_meas_err&#39;, &#39;flux_545_ghz_sky_err&#39;, &#39;flux_857_ghz&#39;, &#39;flux_857_ghz_fit_err&#39;, &#39;flux_857_ghz_meas_err&#39;, &#39;flux_857_ghz_sky_err&#39;, &#39;herschel_flag&#39;, &#39;lii&#39;, &#39;major_axis&#39;, &#39;major_axis_error&#39;, &#39;matching_planck_catalogs&#39;, &#39;minor_axis&#39;, &#39;minor_axis_error&#39;, &#39;name&#39;, &#39;phot_redshift_25&#39;, &#39;phot_redshift_25_chi2&#39;, &#39;phot_redshift_25_neg_err&#39;, &#39;phot_redshift_25_pos_err&#39;, &#39;phot_redshift_30&#39;, &#39;phot_redshift_30_chi2&#39;, &#39;phot_redshift_30_neg_err&#39;, &#39;phot_redshift_30_pos_err&#39;, &#39;phot_redshift_35&#39;, &#39;phot_redshift_35_chi2&#39;, &#39;phot_redshift_35_neg_err&#39;, &#39;phot_redshift_35_pos_err&#39;, &#39;phot_redshift_40&#39;, &#39;phot_redshift_40_chi2&#39;, &#39;phot_redshift_40_neg_err&#39;, &#39;phot_redshift_40_pos_err&#39;, &#39;phot_redshift_45&#39;, &#39;phot_redshift_45_chi2&#39;, &#39;phot_redshift_45_neg_err&#39;, &#39;phot_redshift_45_pos_err&#39;, &#39;phot_redshift_50&#39;, &#39;phot_redshift_50_chi2&#39;, &#39;phot_redshift_50_neg_err&#39;, &#39;phot_redshift_50_pos_err&#39;, &#39;position_angle&#39;, &#39;position_angle_error&#39;, &#39;ra&#39;, &#39;sfr_25k&#39;, &#39;sfr_25k_neg_err&#39;, &#39;sfr_25k_pos_err&#39;, &#39;sfr_30k&#39;, &#39;sfr_30k_neg_err&#39;, &#39;sfr_30k_pos_err&#39;, &#39;sfr_35k&#39;, &#39;sfr_35k_neg_err&#39;, &#39;sfr_35k_pos_err&#39;, &#39;sfr_40k&#39;, &#39;sfr_40k_neg_err&#39;, &#39;sfr_40k_pos_err&#39;, &#39;sfr_45k&#39;, &#39;sfr_45k_neg_err&#39;, &#39;sfr_45k_pos_err&#39;, &#39;sfr_50k&#39;, &#39;sfr_50k_neg_err&#39;, &#39;sfr_50k_pos_err&#39;, &#39;snr_353_ghz&#39;, &#39;snr_545_ghz&#39;, &#39;snr_857_ghz&#39;, &#39;snr_excess_545_ghz&#39;]
+Columns=[&#39;&quot;__row&quot;&#39;, &#39;&quot;__x_ra_dec&quot;&#39;, &#39;&quot;__y_ra_dec&quot;&#39;, &#39;&quot;__z_ra_dec&quot;&#39;, &#39;bii&#39;, &#39;cc_sel_prob&#39;, &#39;dec&#39;, &#39;e_bv_aperture&#39;, &#39;e_bv_aperture_error&#39;, &#39;e_bv_mean&#39;, &#39;fir_lum_25k&#39;, &#39;fir_lum_25k_neg_err&#39;, &#39;fir_lum_25k_pos_err&#39;, &#39;fir_lum_30k&#39;, &#39;fir_lum_30k_neg_err&#39;, &#39;fir_lum_30k_pos_err&#39;, &#39;fir_lum_35k&#39;, &#39;fir_lum_35k_neg_err&#39;, &#39;fir_lum_35k_pos_err&#39;, &#39;fir_lum_40k&#39;, &#39;fir_lum_40k_neg_err&#39;, &#39;fir_lum_40k_pos_err&#39;, &#39;fir_lum_45k&#39;, &#39;fir_lum_45k_neg_err&#39;, &#39;fir_lum_45k_pos_err&#39;, &#39;fir_lum_50k&#39;, &#39;fir_lum_50k_neg_err&#39;, &#39;fir_lum_50k_pos_err&#39;, &#39;flux_217_ghz&#39;, &#39;flux_217_ghz_fit_err&#39;, &#39;flux_217_ghz_meas_err&#39;, &#39;flux_217_ghz_sky_err&#39;, &#39;flux_353_ghz&#39;, &#39;flux_353_ghz_fit_err&#39;, &#39;flux_353_ghz_meas_err&#39;, &#39;flux_353_ghz_sky_err&#39;, &#39;flux_545_ghz&#39;, &#39;flux_545_ghz_fit_err&#39;, &#39;flux_545_ghz_meas_err&#39;, &#39;flux_545_ghz_sky_err&#39;, &#39;flux_857_ghz&#39;, &#39;flux_857_ghz_fit_err&#39;, &#39;flux_857_ghz_meas_err&#39;, &#39;flux_857_ghz_sky_err&#39;, &#39;herschel_flag&#39;, &#39;lii&#39;, &#39;major_axis&#39;, &#39;major_axis_error&#39;, &#39;matching_planck_catalogs&#39;, &#39;minor_axis&#39;, &#39;minor_axis_error&#39;, &#39;name&#39;, &#39;phot_redshift_25&#39;, &#39;phot_redshift_25_chi2&#39;, &#39;phot_redshift_25_neg_err&#39;, &#39;phot_redshift_25_pos_err&#39;, &#39;phot_redshift_30&#39;, &#39;phot_redshift_30_chi2&#39;, &#39;phot_redshift_30_neg_err&#39;, &#39;phot_redshift_30_pos_err&#39;, &#39;phot_redshift_35&#39;, &#39;phot_redshift_35_chi2&#39;, &#39;phot_redshift_35_neg_err&#39;, &#39;phot_redshift_35_pos_err&#39;, &#39;phot_redshift_40&#39;, &#39;phot_redshift_40_chi2&#39;, &#39;phot_redshift_40_neg_err&#39;, &#39;phot_redshift_40_pos_err&#39;, &#39;phot_redshift_45&#39;, &#39;phot_redshift_45_chi2&#39;, &#39;phot_redshift_45_neg_err&#39;, &#39;phot_redshift_45_pos_err&#39;, &#39;phot_redshift_50&#39;, &#39;phot_redshift_50_chi2&#39;, &#39;phot_redshift_50_neg_err&#39;, &#39;phot_redshift_50_pos_err&#39;, &#39;position_angle&#39;, &#39;position_angle_error&#39;, &#39;ra&#39;, &#39;sfr_25k&#39;, &#39;sfr_25k_neg_err&#39;, &#39;sfr_25k_pos_err&#39;, &#39;sfr_30k&#39;, &#39;sfr_30k_neg_err&#39;, &#39;sfr_30k_pos_err&#39;, &#39;sfr_35k&#39;, &#39;sfr_35k_neg_err&#39;, &#39;sfr_35k_pos_err&#39;, &#39;sfr_40k&#39;, &#39;sfr_40k_neg_err&#39;, &#39;sfr_40k_pos_err&#39;, &#39;sfr_45k&#39;, &#39;sfr_45k_neg_err&#39;, &#39;sfr_45k_pos_err&#39;, &#39;sfr_50k&#39;, &#39;sfr_50k_neg_err&#39;, &#39;sfr_50k_pos_err&#39;, &#39;snr_353_ghz&#39;, &#39;snr_545_ghz&#39;, &#39;snr_857_ghz&#39;, &#39;snr_excess_545_ghz&#39;]
 ----
 sixdfgs
     6dFGS Galaxy Survey Final Redshift Release Catalog
 
-Columns=[&#39;__row&#39;, &#39;__x_ra_dec&#39;, &#39;__y_ra_dec&#39;, &#39;__z_ra_dec&#39;, &#39;av&#39;, &#39;bii&#39;, &#39;bj_mag&#39;, &#39;dec&#39;, &#39;lii&#39;, &#39;name&#39;, &#39;name_redshift_field&#39;, &#39;num_highq_measure&#39;, &#39;num_total_measures&#39;, &#39;original_weight&#39;, &#39;program_id&#39;, &#39;ra&#39;, &#39;radial_velocity&#39;, &#39;radial_velocity_compflag&#39;, &#39;radial_velocity_error&#39;, &#39;radial_velocity_qualflag&#39;, &#39;ref_radial_velocity&#39;, &#39;rf_mag&#39;, &#39;specid_values&#39;, &#39;supercosmos_class&#39;, &#39;target_id&#39;, &#39;template_code&#39;]
+Columns=[&#39;&quot;__row&quot;&#39;, &#39;&quot;__x_ra_dec&quot;&#39;, &#39;&quot;__y_ra_dec&quot;&#39;, &#39;&quot;__z_ra_dec&quot;&#39;, &#39;av&#39;, &#39;bii&#39;, &#39;bj_mag&#39;, &#39;dec&#39;, &#39;lii&#39;, &#39;name&#39;, &#39;name_redshift_field&#39;, &#39;num_highq_measure&#39;, &#39;num_total_measures&#39;, &#39;original_weight&#39;, &#39;program_id&#39;, &#39;ra&#39;, &#39;radial_velocity&#39;, &#39;radial_velocity_compflag&#39;, &#39;radial_velocity_error&#39;, &#39;radial_velocity_qualflag&#39;, &#39;ref_radial_velocity&#39;, &#39;rf_mag&#39;, &#39;specid_values&#39;, &#39;supercosmos_class&#39;, &#39;target_id&#39;, &#39;template_code&#39;]
 ----
 twodfqsoz
     2dF QSO Redshift (2QZ) Survey
 
-Columns=[&#39;__row&#39;, &#39;__x_ra_dec&#39;, &#39;__y_ra_dec&#39;, &#39;__z_ra_dec&#39;, &#39;apm_x_pos&#39;, &#39;apm_y_pos&#39;, &#39;bii&#39;, &#39;bj_mag&#39;, &#39;bj_r_color&#39;, &#39;broad_type_1&#39;, &#39;broad_type_2&#39;, &#39;class&#39;, &#39;comment_spectrum_1&#39;, &#39;comment_spectrum_2&#39;, &#39;dec&#39;, &#39;fiber_number_1&#39;, &#39;fiber_number_2&#39;, &#39;field_spect_number_1&#39;, &#39;field_spect_number_2&#39;, &#39;flux_20_cm&#39;, &#39;internal_name&#39;, &#39;lii&#39;, &#39;name&#39;, &#39;num_obs&#39;, &#39;previous_redshift&#39;, &#39;quality_flag_1&#39;, &#39;quality_flag_2&#39;, &#39;ra&#39;, &#39;rass_flux&#39;, &#39;reddening&#39;, &#39;redshift_1&#39;, &#39;redshift_2&#39;, &#39;sector_name&#39;, &#39;snr_spectrum_1&#39;, &#39;snr_spectrum_2&#39;, &#39;source_number&#39;, &#39;spectrum_1_date&#39;, &#39;spectrum_2_date&#39;, &#39;u_bj_color&#39;, &#39;ukst_field_number&#39;]
+Columns=[&#39;&quot;__row&quot;&#39;, &#39;&quot;__x_ra_dec&quot;&#39;, &#39;&quot;__y_ra_dec&quot;&#39;, &#39;&quot;__z_ra_dec&quot;&#39;, &#39;apm_x_pos&#39;, &#39;apm_y_pos&#39;, &#39;bii&#39;, &#39;bj_mag&#39;, &#39;bj_r_color&#39;, &#39;broad_type_1&#39;, &#39;broad_type_2&#39;, &#39;class&#39;, &#39;comment_spectrum_1&#39;, &#39;comment_spectrum_2&#39;, &#39;dec&#39;, &#39;fiber_number_1&#39;, &#39;fiber_number_2&#39;, &#39;field_spect_number_1&#39;, &#39;field_spect_number_2&#39;, &#39;flux_20_cm&#39;, &#39;internal_name&#39;, &#39;lii&#39;, &#39;name&#39;, &#39;num_obs&#39;, &#39;previous_redshift&#39;, &#39;quality_flag_1&#39;, &#39;quality_flag_2&#39;, &#39;ra&#39;, &#39;rass_flux&#39;, &#39;reddening&#39;, &#39;redshift_1&#39;, &#39;redshift_2&#39;, &#39;sector_name&#39;, &#39;snr_spectrum_1&#39;, &#39;snr_spectrum_2&#39;, &#39;source_number&#39;, &#39;spectrum_1_date&#39;, &#39;spectrum_2_date&#39;, &#39;u_bj_color&#39;, &#39;ukst_field_number&#39;]
 ----
 twomassrsc
     2MASS Redshift Survey (2MRS) Catalog
 
-Columns=[&#39;__row&#39;, &#39;__x_ra_dec&#39;, &#39;__y_ra_dec&#39;, &#39;__z_ra_dec&#39;, &#39;alt_name&#39;, &#39;axis_ratio&#39;, &#39;bii&#39;, &#39;dec&#39;, &#39;hmag_0&#39;, &#39;hmag_0_error&#39;, &#39;hmag_0_tot&#39;, &#39;hmag_0_tot_error&#39;, &#39;jmag_0&#39;, &#39;jmag_0_error&#39;, &#39;jmag_0_tot&#39;, &#39;jmag_0_tot_error&#39;, &#39;ks_mag_0&#39;, &#39;ks_mag_0_error&#39;, &#39;ks_mag_0_tot&#39;, &#39;ks_mag_0_tot_error&#39;, &#39;lii&#39;, &#39;log_k20_semimajor_axis&#39;, &#39;log_tot_semimajor_axis&#39;, &#39;morph_type&#39;, &#39;name&#39;, &#39;ra&#39;, &#39;radial_velocity&#39;, &#39;radial_velocity_error&#39;, &#39;radial_velocity_source&#39;, &#39;reddening&#39;, &#39;ref_morph_type&#39;, &#39;ref_radial_velocity&#39;, &#39;xsc_ppc_flags&#39;]
+Columns=[&#39;&quot;__row&quot;&#39;, &#39;&quot;__x_ra_dec&quot;&#39;, &#39;&quot;__y_ra_dec&quot;&#39;, &#39;&quot;__z_ra_dec&quot;&#39;, &#39;alt_name&#39;, &#39;axis_ratio&#39;, &#39;bii&#39;, &#39;dec&#39;, &#39;hmag_0&#39;, &#39;hmag_0_error&#39;, &#39;hmag_0_tot&#39;, &#39;hmag_0_tot_error&#39;, &#39;jmag_0&#39;, &#39;jmag_0_error&#39;, &#39;jmag_0_tot&#39;, &#39;jmag_0_tot_error&#39;, &#39;ks_mag_0&#39;, &#39;ks_mag_0_error&#39;, &#39;ks_mag_0_tot&#39;, &#39;ks_mag_0_tot_error&#39;, &#39;lii&#39;, &#39;log_k20_semimajor_axis&#39;, &#39;log_tot_semimajor_axis&#39;, &#39;morph_type&#39;, &#39;name&#39;, &#39;ra&#39;, &#39;radial_velocity&#39;, &#39;radial_velocity_error&#39;, &#39;radial_velocity_source&#39;, &#39;reddening&#39;, &#39;ref_morph_type&#39;, &#39;ref_radial_velocity&#39;, &#39;xsc_ppc_flags&#39;]
 ----
 </pre></div>
 </div>
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>xdeep2
     DEEP2 Galaxy Redshift Survey Fields Chandra Point Source Catalog
 
-Columns=[&#39;__row&#39;, &#39;__x_ra_dec&#39;, &#39;__y_ra_dec&#39;, &#39;__z_ra_dec&#39;, &#39;bayesian_galaxy_prob&#39;, &#39;bii&#39;, &#39;bmag&#39;, &#39;csc_name&#39;, &#39;dec&#39;, &#39;error_radius&#39;, &#39;fb_counts_50pc_eef&#39;, &#39;fb_counts_50pc_eef_error&#39;, &#39;fb_counts_50pc_eef_limit&#39;, &#39;fb_counts_90pc_eef&#39;, &#39;fb_counts_90pc_eef_error&#39;, &#39;fb_counts_90pc_eef_limit&#39;, &#39;fb_flux&#39;, &#39;fb_flux_error&#39;, &#39;fb_flux_limit&#39;, &#39;field_number&#39;, &#39;field_subfield_id&#39;, &#39;flux_ratio&#39;, &#39;flux_ratio_lower&#39;, &#39;flux_ratio_upper&#39;, &#39;hardness_ratio&#39;, &#39;hardness_ratio_lower&#39;, &#39;hardness_ratio_upper&#39;, &#39;hb_counts_50pc_eef&#39;, &#39;hb_counts_50pc_eef_error&#39;, &#39;hb_counts_50pc_eef_limit&#39;, &#39;hb_counts_90pc_eef&#39;, &#39;hb_counts_90pc_eef_error&#39;, &#39;hb_counts_90pc_eef_limit&#39;, &#39;hb_flux&#39;, &#39;hb_flux_error&#39;, &#39;hb_flux_limit&#39;, &#39;imag&#39;, &#39;lii&#39;, &#39;name&#39;, &#39;off_axis&#39;, &#39;off_set&#39;, &#39;opt_dec&#39;, &#39;opt_ra&#39;, &#39;opt_source_number&#39;, &#39;ra&#39;, &#39;radius_50pc_eef&#39;, &#39;radius_90pc_eef&#39;, &#39;redshift&#39;, &#39;rmag&#39;, &#39;sb_counts_50pc_eef&#39;, &#39;sb_counts_50pc_eef_error&#39;, &#39;sb_counts_50pc_eef_limit&#39;, &#39;sb_counts_90pc_eef&#39;, &#39;sb_counts_90pc_eef_error&#39;, &#39;sb_counts_90pc_eef_limit&#39;, &#39;sb_flux&#39;, &#39;sb_flux_error&#39;, &#39;sb_flux_limit&#39;]
+Columns=[&#39;&quot;__row&quot;&#39;, &#39;&quot;__x_ra_dec&quot;&#39;, &#39;&quot;__y_ra_dec&quot;&#39;, &#39;&quot;__z_ra_dec&quot;&#39;, &#39;bayesian_galaxy_prob&#39;, &#39;bii&#39;, &#39;bmag&#39;, &#39;csc_name&#39;, &#39;dec&#39;, &#39;error_radius&#39;, &#39;fb_counts_50pc_eef&#39;, &#39;fb_counts_50pc_eef_error&#39;, &#39;fb_counts_50pc_eef_limit&#39;, &#39;fb_counts_90pc_eef&#39;, &#39;fb_counts_90pc_eef_error&#39;, &#39;fb_counts_90pc_eef_limit&#39;, &#39;fb_flux&#39;, &#39;fb_flux_error&#39;, &#39;fb_flux_limit&#39;, &#39;field_number&#39;, &#39;field_subfield_id&#39;, &#39;flux_ratio&#39;, &#39;flux_ratio_lower&#39;, &#39;flux_ratio_upper&#39;, &#39;hardness_ratio&#39;, &#39;hardness_ratio_lower&#39;, &#39;hardness_ratio_upper&#39;, &#39;hb_counts_50pc_eef&#39;, &#39;hb_counts_50pc_eef_error&#39;, &#39;hb_counts_50pc_eef_limit&#39;, &#39;hb_counts_90pc_eef&#39;, &#39;hb_counts_90pc_eef_error&#39;, &#39;hb_counts_90pc_eef_limit&#39;, &#39;hb_flux&#39;, &#39;hb_flux_error&#39;, &#39;hb_flux_limit&#39;, &#39;imag&#39;, &#39;lii&#39;, &#39;name&#39;, &#39;off_axis&#39;, &#39;off_set&#39;, &#39;opt_dec&#39;, &#39;opt_ra&#39;, &#39;opt_source_number&#39;, &#39;ra&#39;, &#39;radius_50pc_eef&#39;, &#39;radius_90pc_eef&#39;, &#39;redshift&#39;, &#39;rmag&#39;, &#39;sb_counts_50pc_eef&#39;, &#39;sb_counts_50pc_eef_error&#39;, &#39;sb_counts_50pc_eef_limit&#39;, &#39;sb_counts_90pc_eef&#39;, &#39;sb_counts_90pc_eef_error&#39;, &#39;sb_counts_90pc_eef_limit&#39;, &#39;sb_flux&#39;, &#39;sb_flux_error&#39;, &#39;sb_flux_limit&#39;]
 ----
 xmmcfrscat
     XMM-Newton/Canada-France Redshift Survey Fields X-Ray Sources
 
-Columns=[&#39;__row&#39;, &#39;__x_ra_dec&#39;, &#39;__y_ra_dec&#39;, &#39;__z_ra_dec&#39;, &#39;bii&#39;, &#39;counts&#39;, &#39;dec&#39;, &#39;flux&#39;, &#39;flux_error&#39;, &#39;hb_flux&#39;, &#39;hb_flux_error&#39;, &#39;lii&#39;, &#39;mos1_hr&#39;, &#39;mos1_hr_error&#39;, &#39;mos2_hr&#39;, &#39;mos2_hr_error&#39;, &#39;name&#39;, &#39;notes&#39;, &#39;pn_hr&#39;, &#39;pn_hr_error&#39;, &#39;ra&#39;, &#39;sb_flux&#39;, &#39;sb_flux_error&#39;]
+Columns=[&#39;&quot;__row&quot;&#39;, &#39;&quot;__x_ra_dec&quot;&#39;, &#39;&quot;__y_ra_dec&quot;&#39;, &#39;&quot;__z_ra_dec&quot;&#39;, &#39;bii&#39;, &#39;counts&#39;, &#39;dec&#39;, &#39;flux&#39;, &#39;flux_error&#39;, &#39;hb_flux&#39;, &#39;hb_flux_error&#39;, &#39;lii&#39;, &#39;mos1_hr&#39;, &#39;mos1_hr_error&#39;, &#39;mos2_hr&#39;, &#39;mos2_hr_error&#39;, &#39;name&#39;, &#39;notes&#39;, &#39;pn_hr&#39;, &#39;pn_hr_error&#39;, &#39;ra&#39;, &#39;sb_flux&#39;, &#39;sb_flux_error&#39;]
 ----
 xmmcfrsoid
     XMM-Newton/Canada-France Redshift Survey Fields Optical Identifi
 
-Columns=[&#39;__row&#39;, &#39;__x_ra_dec&#39;, &#39;__y_ra_dec&#39;, &#39;__z_ra_dec&#39;, &#39;bii&#39;, &#39;bmag&#39;, &#39;bmag_error&#39;, &#39;cfdf_number&#39;, &#39;dec&#39;, &#39;imag&#39;, &#39;imag_error&#39;, &#39;itot_mag&#39;, &#39;kmag&#39;, &#39;kmag_error&#39;, &#39;lii&#39;, &#39;name&#39;, &#39;notes&#39;, &#39;phot_redshift_1&#39;, &#39;phot_redshift_1_flag&#39;, &#39;phot_redshift_2&#39;, &#39;phot_redshift_2_flag&#39;, &#39;phot_redshift_3&#39;, &#39;phot_redshift_3_flag&#39;, &#39;ra&#39;, &#39;redshift&#39;, &#39;true_probability&#39;, &#39;umag&#39;, &#39;umag_error&#39;, &#39;vmag&#39;, &#39;vmag_error&#39;, &#39;xo_offset&#39;]
+Columns=[&#39;&quot;__row&quot;&#39;, &#39;&quot;__x_ra_dec&quot;&#39;, &#39;&quot;__y_ra_dec&quot;&#39;, &#39;&quot;__z_ra_dec&quot;&#39;, &#39;bii&#39;, &#39;bmag&#39;, &#39;bmag_error&#39;, &#39;cfdf_number&#39;, &#39;dec&#39;, &#39;imag&#39;, &#39;imag_error&#39;, &#39;itot_mag&#39;, &#39;kmag&#39;, &#39;kmag_error&#39;, &#39;lii&#39;, &#39;name&#39;, &#39;notes&#39;, &#39;phot_redshift_1&#39;, &#39;phot_redshift_1_flag&#39;, &#39;phot_redshift_2&#39;, &#39;phot_redshift_2_flag&#39;, &#39;phot_redshift_3&#39;, &#39;phot_redshift_3_flag&#39;, &#39;ra&#39;, &#39;redshift&#39;, &#39;true_probability&#39;, &#39;umag&#39;, &#39;umag_error&#39;, &#39;vmag&#39;, &#39;vmag_error&#39;, &#39;xo_offset&#39;]
 ----
 xmmcphotz
     XMM-Newton COSMOS (XMM-COSMOS) Survey Photometric Redshift Catal
 
-Columns=[&#39;__row&#39;, &#39;__x_ra_dec&#39;, &#39;__y_ra_dec&#39;, &#39;__z_ra_dec&#39;, &#39;best_fit_template&#39;, &#39;bii&#39;, &#39;dec&#39;, &#39;ilbert_source_number&#39;, &#39;lii&#39;, &#39;morph_class&#39;, &#39;name&#39;, &#39;phot_redshift&#39;, &#39;phot_redshift_max&#39;, &#39;phot_redshift_min&#39;, &#39;ra&#39;, &#39;redshift_pdf&#39;, &#39;source_number&#39;, &#39;variability&#39;]
+Columns=[&#39;&quot;__row&quot;&#39;, &#39;&quot;__x_ra_dec&quot;&#39;, &#39;&quot;__y_ra_dec&quot;&#39;, &#39;&quot;__z_ra_dec&quot;&#39;, &#39;best_fit_template&#39;, &#39;bii&#39;, &#39;dec&#39;, &#39;ilbert_source_number&#39;, &#39;lii&#39;, &#39;morph_class&#39;, &#39;name&#39;, &#39;phot_redshift&#39;, &#39;phot_redshift_max&#39;, &#39;phot_redshift_min&#39;, &#39;ra&#39;, &#39;redshift_pdf&#39;, &#39;source_number&#39;, &#39;variability&#39;]
 ----
 zcat
     CfA Redshift Catalog (June 1995 Version)
 
-Columns=[&#39;__row&#39;, &#39;__x_ra_dec&#39;, &#39;__y_ra_dec&#39;, &#39;__z_ra_dec&#39;, &#39;bar_type&#39;, &#39;bii&#39;, &#39;bmag&#39;, &#39;bt_mag&#39;, &#39;class&#39;, &#39;comments&#39;, &#39;dec&#39;, &#39;diameter_1&#39;, &#39;diameter_2&#39;, &#39;distance&#39;, &#39;lii&#39;, &#39;luminosity_class&#39;, &#39;morph_type&#39;, &#39;name&#39;, &#39;notes&#39;, &#39;ra&#39;, &#39;radial_velocity&#39;, &#39;radial_velocity_error&#39;, &#39;redshift&#39;, &#39;ref_bmag&#39;, &#39;ref_radial_velocity&#39;, &#39;ref_redshift&#39;, &#39;rfn_number&#39;, &#39;structure&#39;, &#39;ugc_or_eso&#39;]
+Columns=[&#39;&quot;__row&quot;&#39;, &#39;&quot;__x_ra_dec&quot;&#39;, &#39;&quot;__y_ra_dec&quot;&#39;, &#39;&quot;__z_ra_dec&quot;&#39;, &#39;&quot;distance&quot;&#39;, &#39;bar_type&#39;, &#39;bii&#39;, &#39;bmag&#39;, &#39;bt_mag&#39;, &#39;class&#39;, &#39;comments&#39;, &#39;dec&#39;, &#39;diameter_1&#39;, &#39;diameter_2&#39;, &#39;lii&#39;, &#39;luminosity_class&#39;, &#39;morph_type&#39;, &#39;name&#39;, &#39;notes&#39;, &#39;ra&#39;, &#39;radial_velocity&#39;, &#39;radial_velocity_error&#39;, &#39;redshift&#39;, &#39;ref_bmag&#39;, &#39;ref_radial_velocity&#39;, &#39;ref_redshift&#39;, &#39;rfn_number&#39;, &#39;structure&#39;, &#39;ugc_or_eso&#39;]
 ----
 </pre></div>
 </div>
@@ -782,7 +810,7 @@ <h3>2.1 TAP services<a class="headerlink" href="#tap-services" title="Permalink
 <p>Now that we know all the possible column information in the zcat catalog, we can do more than query on position (as in a cone search) but also on any other column (e.g., redshift, bmag, morph_type).  The query has to be expressed in a language called <strong><a class="reference external" href="http://www.ivoa.net/documents/latest/ADQL.html">ADQL</a></strong>.</p>
 </section>
 <section id="expressing-queries-in-adql">
-<h3>2.2 Expressing queries in ADQL<a class="headerlink" href="#expressing-queries-in-adql" title="Permalink to this headline">#</a></h3>
+<h3>2.2 Expressing queries in ADQL<a class="headerlink" href="#expressing-queries-in-adql" title="Link to this heading">#</a></h3>
 <p>The basics of ADQL:</p>
 <ul class="simple">
 <li><p><em>SELECT * FROM my.interesting.catalog as cat…</em></p></li>
@@ -815,7 +843,7 @@ <h3>2.2 Expressing queries in ADQL<a class="headerlink" href="#expressing-querie
 <p>See the ADQL documentation for more.</p>
 </section>
 <section id="a-use-case">
-<h3>2.3 A use case<a class="headerlink" href="#a-use-case" title="Permalink to this headline">#</a></h3>
+<h3>2.3 A use case<a class="headerlink" href="#a-use-case" title="Link to this heading">#</a></h3>
 <p>Here is a simple ADQL query where we print out the relevant columns for the bright (Bmag &lt;14) sources found within 1 degree of M51 (we will discuss how to define the table and column names below):</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -844,7 +872,7 @@ <h3>2.3 A use case<a class="headerlink" href="#a-use-case" title="Permalink to t
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=3</i>
-<table id="table139859596840480" class="table-striped table-bordered table-condensed">
+<table id="table140505526621984" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ra</th><th>dec</th><th>radial_velocity</th><th>radial_velocity_error</th><th>bmag</th><th>morph_type</th></tr></thead>
 <thead><tr><th>deg</th><th>deg</th><th>km / s</th><th>km / s</th><th></th><th></th></tr></thead>
 <thead><tr><th>float64</th><th>float64</th><th>int32</th><th>int16</th><th>float32</th><th>int16</th></tr></thead>
@@ -875,7 +903,7 @@ <h3>2.3 A use case<a class="headerlink" href="#a-use-case" title="Permalink to t
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=1120</i>
-<table id="table139859590626608" class="table-striped table-bordered table-condensed">
+<table id="table140505526616464" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ra</th><th>dec</th><th>radial_velocity</th><th>radial_velocity_error</th><th>bmag</th><th>morph_type</th></tr></thead>
 <thead><tr><th>deg</th><th>deg</th><th>km / s</th><th>km / s</th><th></th><th></th></tr></thead>
 <thead><tr><th>float64</th><th>float64</th><th>int32</th><th>int16</th><th>float32</th><th>int16</th></tr></thead>
@@ -889,7 +917,6 @@ <h3>2.3 A use case<a class="headerlink" href="#a-use-case" title="Permalink to t
 <tr><td>148.89929</td><td>69.06297</td><td>-40</td><td>5</td><td>7.75</td><td>2</td></tr>
 <tr><td>68.21188</td><td>71.88872</td><td>-28</td><td>10</td><td>12.10</td><td>7</td></tr>
 <tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>
-<tr><td>25.54105</td><td>12.60244</td><td>2964</td><td>27</td><td>13.60</td><td>3</td></tr>
 <tr><td>160.76076</td><td>-36.36216</td><td>2965</td><td>36</td><td>13.80</td><td>5</td></tr>
 <tr><td>186.92024</td><td>-8.27657</td><td>2978</td><td>20</td><td>13.13</td><td>2</td></tr>
 <tr><td>327.32062</td><td>-60.60958</td><td>2981</td><td>2</td><td>13.23</td><td>5</td></tr>
@@ -903,7 +930,7 @@ <h3>2.3 A use case<a class="headerlink" href="#a-use-case" title="Permalink to t
 </div>
 </section>
 <section id="tap-examples-for-a-given-service">
-<h3>2.4 TAP examples for a given service<a class="headerlink" href="#tap-examples-for-a-given-service" title="Permalink to this headline">#</a></h3>
+<h3>2.4 TAP examples for a given service<a class="headerlink" href="#tap-examples-for-a-given-service" title="Link to this heading">#</a></h3>
 <p>Each service may also provide some example queries.  If they do, then you can see them with, e.g.:</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -936,7 +963,7 @@ <h3>2.4 TAP examples for a given service<a class="headerlink" href="#tap-example
 </pre></div>
 </div>
 <div class="output text_html"><div><i>Table length=2</i>
-<table id="table139860752132240" class="table-striped table-bordered table-condensed">
+<table id="table140505526711056" class="table-striped table-bordered table-condensed">
 <thead><tr><th>__row</th><th>seq_id</th><th>ra</th><th>dec</th><th>lii</th><th>bii</th><th>instrument</th><th>filter</th><th>site</th><th>exposure</th><th>requested_exposure</th><th>fits_type</th><th>start_time</th><th>end_time</th><th>name</th><th>pi_lname</th><th>pi_fname</th><th>ror</th><th>index_id</th><th>subj_cat</th><th>proc_rev</th><th>title</th><th>qa_number</th><th>ao</th><th>proposal_number</th><th>roll</th><th>rday_begin</th><th>rday_end</th><th>class</th><th>__x_ra_dec</th><th>__y_ra_dec</th><th>__z_ra_dec</th></tr></thead>
 <thead><tr><th></th><th></th><th>deg</th><th>deg</th><th>deg</th><th>deg</th><th></th><th></th><th></th><th>s</th><th>s</th><th></th><th>d</th><th>d</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>deg</th><th>d</th><th>d</th><th></th><th></th><th></th><th></th></tr></thead>
 <thead><tr><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>int32</th><th>int32</th><th>object</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>int32</th><th>object</th><th>int16</th><th>int16</th><th>object</th><th>int32</th><th>int16</th><th>int32</th><th>int16</th><th>int32</th><th>int32</th><th>int16</th><th>float64</th><th>float64</th><th>float64</th></tr></thead>
@@ -947,11 +974,11 @@ <h3>2.4 TAP examples for a given service<a class="headerlink" href="#tap-example
 </section>
 </section>
 <section id="using-the-tap-to-cross-correlate-and-combine">
-<h2>3. Using the TAP to cross-correlate and combine<a class="headerlink" href="#using-the-tap-to-cross-correlate-and-combine" title="Permalink to this headline">#</a></h2>
+<h2>3. Using the TAP to cross-correlate and combine<a class="headerlink" href="#using-the-tap-to-cross-correlate-and-combine" title="Link to this heading">#</a></h2>
 <section id="cross-correlating-to-combine-catalogs">
-<h3>3.1 Cross-correlating to combine catalogs<a class="headerlink" href="#cross-correlating-to-combine-catalogs" title="Permalink to this headline">#</a></h3>
+<h3>3.1 Cross-correlating to combine catalogs<a class="headerlink" href="#cross-correlating-to-combine-catalogs" title="Link to this heading">#</a></h3>
 <p>TAP can also be a powerful way to collect a lot of useful information from existing catalogs in one quick step. For this exercise, we will start with a list of sources, uploaded from our own table, and do a ‘cross-correlation’ with the <em>zcat</em> table.</p>
-<p>For more on creating and working with VO tables, see that <a class="reference internal" href="votables.html"><span class="doc std std-doc">notebook</span></a>.  Here, we just read one in that’s already prepared:</p>
+<p>For more on creating and working with VO tables, see that <a class="reference internal" href="votables.html"><span class="std std-doc">notebook</span></a>.  Here, we just read one in that’s already prepared:</p>
 <p>First, check that this service can handle uploaded tables.   Not all do.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -985,7 +1012,7 @@ <h3>3.1 Cross-correlating to combine catalogs<a class="headerlink" href="#cross-
 </div>
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 <div class="output text_html"><div><i>Table length=14</i>
-<table id="table139859595406560" class="table-striped table-bordered table-condensed">
+<table id="table140505526710336" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ra</th><th>dec</th><th>radial_velocity</th><th>bmag</th><th>morph_type</th></tr></thead>
 <thead><tr><th>deg</th><th>deg</th><th></th><th></th><th></th></tr></thead>
 <thead><tr><th>float64</th><th>float64</th><th>int32</th><th>float32</th><th>int16</th></tr></thead>
@@ -1008,7 +1035,7 @@ <h3>3.1 Cross-correlating to combine catalogs<a class="headerlink" href="#cross-
 <p>Therefore we now have the Bmag, morphological type and radial velocities for all the sources in our list with a single TAP query.</p>
 </section>
 <section id="cross-correlating-with-user-defined-columns">
-<h3>3.2 Cross-correlating with user-defined columns<a class="headerlink" href="#cross-correlating-with-user-defined-columns" title="Permalink to this headline">#</a></h3>
+<h3>3.2 Cross-correlating with user-defined columns<a class="headerlink" href="#cross-correlating-with-user-defined-columns" title="Link to this heading">#</a></h3>
 <p>Our input list of sources contains galaxy pair candidates that may be interacting with each other. Therefore it would be interesting to know what the morphological type and the Bmagnitude are for the potential companions.</p>
 <p>In this advanced example, we want our search to be physically motivated since the criterion for galaxy interaction depends on the physical separation of the galaxies. Unlike the previous case, the search radius is not a constant, but varies for each candidate by the distance to the source. Specifically, we want to search for companions that are within 50 kpc of the candidate and therefore first need to find the angular diameter distance that corresponds to galaxy’s distance (in our case the radial velocity).</p>
 <p>Therefore, we begin by taking our table of objects and adding an angDdeg column:</p>
@@ -1030,7 +1057,7 @@ <h3>3.2 Cross-correlating with user-defined columns<a class="headerlink" href="#
 </div>
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 <div class="output text_html"><div><i>Table length=14</i>
-<table id="table139859595406560" class="table-striped table-bordered table-condensed">
+<table id="table140505526710336" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ra</th><th>dec</th><th>radial_velocity</th><th>bmag</th><th>morph_type</th><th>redshift</th><th>angDdeg</th></tr></thead>
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 <thead><tr><th>float64</th><th>float64</th><th>int32</th><th>float32</th><th>int16</th><th>float64</th><th>float64</th></tr></thead>
@@ -1075,7 +1102,7 @@ <h3>3.2 Cross-correlating with user-defined columns<a class="headerlink" href="#
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=9</i>
-<table id="table139859592457728" class="table-striped table-bordered table-condensed">
+<table id="table140505581908176" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ra</th><th>dec</th><th>ra2</th><th>dec2</th><th>radial_velocity</th><th>morph_type</th><th>bmag</th></tr></thead>
 <thead><tr><th>deg</th><th>deg</th><th>deg</th><th>deg</th><th></th><th></th><th></th></tr></thead>
 <thead><tr><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>int32</th><th>int16</th><th>float32</th></tr></thead>
@@ -1094,7 +1121,7 @@ <h3>3.2 Cross-correlating with user-defined columns<a class="headerlink" href="#
 </section>
 </section>
 <section id="synchronous-versus-asynchronous-queries">
-<h2>4. Synchronous versus asynchronous queries<a class="headerlink" href="#synchronous-versus-asynchronous-queries" title="Permalink to this headline">#</a></h2>
+<h2>4. Synchronous versus asynchronous queries<a class="headerlink" href="#synchronous-versus-asynchronous-queries" title="Link to this heading">#</a></h2>
 <p>There is one technical detail about TAP queries that you will need to know.  In the code cells above, there are two commands for sending the query, one of which is commented out.  This is because, with the TAP, there are two ways to send such queries.  The default when you use the <code class="docutils literal notranslate"><span class="pre">search()</span></code> method is to us a synchronous query, which means that the query is sent and the client waits for the response.  For large and complicated queries, this may time out, or you may want to run several in parallel.  So there are other options.</p>
 <p>The method <code class="docutils literal notranslate"><span class="pre">service.run_async()</span></code> uses an asynchronous query, which means that the query is sent, and then (under the hood without you needing to do anything), the method checks for a response.  From your point of view, these methods look the same;  PyVO is doing different things under the hood, but the method will not return until it has your result.</p>
 <p>You need to know about these two methods for a couple of reasons.  First, some services will limit synchronous queries, i.e. they will not necessarily return <em>all</em> the results if there are too many of them.  An asynchronous query should have no such restrictions.  In the case of the HEASARC service that we use above, it does not matter, but you should be aware of this and be in the habit of using the asynchronous queries for complete results after an initial interactive exploration.</p>
@@ -1109,11 +1136,10 @@ <h2>4. Synchronous versus asynchronous queries<a class="headerlink" href="#synch
 
               
               
-                <footer class="bd-footer-article">
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@@ -1186,6 +1210,7 @@ <h2>4. Synchronous versus asynchronous queries<a class="headerlink" href="#synch
   
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+++ b/content/reference_notebooks/image_access.html
@@ -1,13 +1,12 @@
 
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@@ -59,19 +58,23 @@
 
   
   
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+  <div id="pst-skip-link" class="skip-link d-print-none"><a href="#main-content">Skip to main content</a></div>
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 </form></div>
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+          <a href="https://github.com/NASA-NAVO/navo-workshop" title="GitHub" class="nav-link pst-navbar-icon" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><i class="fa-brands fa-square-github fa-lg" aria-hidden="true"></i>
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@@ -470,26 +498,26 @@ <h2> Contents </h2>
               
                 
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   <section id="image-access">
-<h1>Image Access<a class="headerlink" href="#image-access" title="Permalink to this headline">#</a></h1>
+<h1>Image Access<a class="headerlink" href="#image-access" title="Link to this heading">#</a></h1>
 <p>In this notebook, we show how to search for and retrieve images from VO services using the Registry and the <strong><a class="reference external" href="http://www.ivoa.net/documents/SIA/">Simple Image Access</a></strong> (SIA) protocol.</p>
 <ul class="simple">
-<li><p><a class="reference internal" href="#image-access"><span class="std std-doc">Image Access</span></a></p>
+<li><p><a class="reference internal" href="#image-access">Image Access</a></p>
 <ul>
-<li><p><a class="reference internal" href="#finding-sia-resources-from-the-registry"><span class="std std-doc">1. Finding SIA resources from the Registry</span></a></p></li>
-<li><p><a class="reference internal" href="#using-sia-to-retrieve-an-image"><span class="std std-doc">2. Using SIA to retrieve an image</span></a></p></li>
-<li><p><a class="reference internal" href="#viewing-the-resulting-image"><span class="std std-doc">3. Viewing the resulting image</span></a></p>
+<li><p><a class="reference internal" href="#finding-sia-resources-from-the-registry">1. Finding SIA resources from the Registry</a></p></li>
+<li><p><a class="reference internal" href="#using-sia-to-retrieve-an-image">2. Using SIA to retrieve an image</a></p></li>
+<li><p><a class="reference internal" href="#viewing-the-resulting-image">3. Viewing the resulting image</a></p>
 <ul>
-<li><p><a class="reference internal" href="#jpg-images"><span class="std std-doc">JPG images</span></a></p></li>
-<li><p><a class="reference internal" href="#fits-files"><span class="std std-doc">Fits files</span></a></p></li>
+<li><p><a class="reference internal" href="#jpg-images">JPG images</a></p></li>
+<li><p><a class="reference internal" href="#fits-files">Fits files</a></p></li>
 </ul>
 </li>
-<li><p><a class="reference internal" href="#example-of-data-available-through-multiple-services"><span class="std std-doc">4. Example of data available through multiple services</span></a></p>
+<li><p><a class="reference internal" href="#example-of-data-available-through-multiple-services">4. Example of data available through multiple services</a></p>
 <ul>
-<li><p><a class="reference internal" href="#using-heasarc"><span class="std std-doc">Using HEASARC</span></a></p></li>
-<li><p><a class="reference internal" href="#using-sdss-skyserver"><span class="std std-doc">Using SDSS SkyServer</span></a></p></li>
+<li><p><a class="reference internal" href="#using-heasarc">Using HEASARC</a></p></li>
+<li><p><a class="reference internal" href="#using-sdss-skyserver">Using SDSS SkyServer</a></p></li>
 </ul>
 </li>
 </ul>
@@ -523,7 +551,7 @@ <h1>Image Access<a class="headerlink" href="#image-access" title="Permalink to t
 </div>
 </div>
 <section id="finding-sia-resources-from-the-registry">
-<h2>1. Finding SIA resources from the Registry<a class="headerlink" href="#finding-sia-resources-from-the-registry" title="Permalink to this headline">#</a></h2>
+<h2>1. Finding SIA resources from the Registry<a class="headerlink" href="#finding-sia-resources-from-the-registry" title="Link to this heading">#</a></h2>
 <p>First, how do we find out what  services are available?  These are listed in a registry at STScI (<strong><a class="reference external" href="http://www.ivoa.net/documents/RegTAP/">see here</a></strong>).  Our Registry function gives a simple interface for how to search for services.</p>
 <p>Let’s search for services providing images in the ultraviolet bands:</p>
 <div class="cell docutils container">
@@ -535,7 +563,7 @@ <h2>1. Finding SIA resources from the Registry<a class="headerlink" href="#findi
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=18</i>
-<table id="table140447319268064" class="table-striped table-bordered table-condensed">
+<table id="table139656449392352" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ivoid</th><th>short_name</th><th>res_title</th></tr></thead>
 <thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>
 <tr><td>ivo://archive.stsci.edu/sia/galex</td><td>GALEX</td><td>Galaxy Evolution Explorer (GALEX)</td></tr>
@@ -568,7 +596,7 @@ <h2>1. Finding SIA resources from the Registry<a class="headerlink" href="#findi
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=1</i>
-<table id="table140447065383472" class="table-striped table-bordered table-condensed">
+<table id="table139656448014032" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ivoid</th><th>short_name</th><th>res_title</th></tr></thead>
 <thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>
 <tr><td>ivo://nasa.heasarc/skyview/swiftuvot</td><td>SWIFTUVOT</td><td>Swift UVOT Combined V Intensity Images</td></tr>
@@ -577,7 +605,7 @@ <h2>1. Finding SIA resources from the Registry<a class="headerlink" href="#findi
 <p>This shows us that the data we are interested in comes from the HEASARC’s SkyView service, but the point of these VO tools is that you don’t need to know that ahead of time or indeed to care where it comes from.</p>
 </section>
 <section id="using-sia-to-retrieve-an-image">
-<h2>2. Using SIA to retrieve an image<a class="headerlink" href="#using-sia-to-retrieve-an-image" title="Permalink to this headline">#</a></h2>
+<h2>2. Using SIA to retrieve an image<a class="headerlink" href="#using-sia-to-retrieve-an-image" title="Link to this heading">#</a></h2>
 <p>Now we look for images of our favorite source.  See <strong><a class="reference external" href="http://www.ivoa.net/documents/WD/SIA/sia-20040524.html">the SIA definition</a></strong> for usage.  In short, you can specify the central position and the size (degrees as one or two floats for the RA, DEC directions).  It is up to the service to determine how to provide this. Optionally, you can limit it to the format you want, e.g., “image/fits” or “image/png” etc.</p>
 <p>What is returned to you is not the image itself but a list of images available and how to access them.  This is easiest shown by example:</p>
 <div class="cell docutils container">
@@ -591,15 +619,15 @@ <h2>2. Using SIA to retrieve an image<a class="headerlink" href="#using-sia-to-r
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=6</i>
-<table id="table140447068355120" class="table-striped table-bordered table-condensed">
+<table id="table139656702518960" class="table-striped table-bordered table-condensed">
 <thead><tr><th>Survey</th><th>Ra</th><th>Dec</th><th>Dim</th><th>Size</th><th>Scale</th><th>Format</th><th>PixFlags</th><th>URL</th><th>LogicalName</th></tr></thead>
 <thead><tr><th>object</th><th>float64</th><th>float64</th><th>int32</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>
-<tr><td>swiftuvotvint</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=swiftuvotvint&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304535977&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>1</td></tr>
-<tr><td>swiftuvotbint</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=swiftuvotbint&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304536233&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>2</td></tr>
-<tr><td>swiftuvotuint</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=swiftuvotuint&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304537325&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>3</td></tr>
-<tr><td>swiftuvotuvw1int</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=swiftuvotuvw1int&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304537779&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>4</td></tr>
-<tr><td>swiftuvotuvw2int</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=swiftuvotuvw2int&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304538261&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>5</td></tr>
-<tr><td>swiftuvotuvm2int</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=swiftuvotuvm2int&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304538693&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>6</td></tr>
+<tr><td>swiftuvotvint</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=swiftuvotvint&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546327830&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>1</td></tr>
+<tr><td>swiftuvotbint</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=swiftuvotbint&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546328206&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>2</td></tr>
+<tr><td>swiftuvotuint</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=swiftuvotuint&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546329354&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>3</td></tr>
+<tr><td>swiftuvotuvw1int</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=swiftuvotuvw1int&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546330084&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>4</td></tr>
+<tr><td>swiftuvotuvw2int</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=swiftuvotuvw2int&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546330618&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>5</td></tr>
+<tr><td>swiftuvotuvm2int</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/jpeg</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=swiftuvotuvm2int&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546331107&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg</td><td>6</td></tr>
 </table></div></div></div>
 </div>
 <p>Extract the fields you’re interested in, e.g., the URLs of the images made by skyview.  Note that specifying as we did SwiftUVOT, we get a number of different images, e.g., UVOT U, V, B, W1, W2, etc.  For each survey, there are two URLs, first the FITS IMAGE and second the JPEG.</p>
@@ -612,16 +640,16 @@ <h2>2. Using SIA to retrieve an image<a class="headerlink" href="#using-sia-to-r
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=swiftuvotvint&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304535977&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=swiftuvotvint&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546327830&amp;nofits=1&amp;quicklook=jpeg&amp;return=jpeg
 </pre></div>
 </div>
 </div>
 </div>
 </section>
 <section id="viewing-the-resulting-image">
-<h2>3. Viewing the resulting image<a class="headerlink" href="#viewing-the-resulting-image" title="Permalink to this headline">#</a></h2>
+<h2>3. Viewing the resulting image<a class="headerlink" href="#viewing-the-resulting-image" title="Link to this heading">#</a></h2>
 <section id="jpg-images">
-<h3>JPG images<a class="headerlink" href="#jpg-images" title="Permalink to this headline">#</a></h3>
+<h3>JPG images<a class="headerlink" href="#jpg-images" title="Link to this heading">#</a></h3>
 <p>Since we have asked for JPEG images, we can display an image in python easily by using its URL. Each row of the result has a getdataurl() method, and you can then hand the URL to an image displayer such as IPython.display:</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -631,11 +659,11 @@ <h3>JPG images<a class="headerlink" href="#jpg-images" title="Permalink to this
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_html"><img src="https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&survey=swiftuvotvint&pixels=300%2C300&sampler=LI&size=0.20000000000000004%2C0.20000000000000004&projection=Tan&coordinates=J2000.0&requestID=skv1704304535977&nofits=1&quicklook=jpeg&return=jpeg"/></div></div>
+<div class="output text_html"><img src="https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&survey=swiftuvotvint&pixels=300%2C300&sampler=LI&size=0.20000000000000004%2C0.20000000000000004&projection=Tan&coordinates=J2000.0&requestID=skv1720546327830&nofits=1&quicklook=jpeg&return=jpeg"/></div></div>
 </div>
 </section>
 <section id="fits-files">
-<h3>Fits files<a class="headerlink" href="#fits-files" title="Permalink to this headline">#</a></h3>
+<h3>Fits files<a class="headerlink" href="#fits-files" title="Link to this heading">#</a></h3>
 <p>Or download the FITS image and display it with imshow, or aplpy.</p>
 <p>(This often errors off with a time out message.  Just try it again, possibly a couple of times.)</p>
 <div class="cell docutils container">
@@ -650,7 +678,7 @@ <h3>Fits files<a class="headerlink" href="#fits-files" title="Permalink to this
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Filename: /home/runner/.astropy/cache/download/url/db61fb4ef351346e7996f615b5b8aed1/contents
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Filename: /home/runner/.astropy/cache/download/url/f12579024f4c3358df7299f7cf6007cb/contents
 No.    Name      Ver    Type      Cards   Dimensions   Format
   0  PRIMARY       1 PrimaryHDU     111   (300, 300)   float32   
 </pre></div>
@@ -658,7 +686,7 @@ <h3>Fits files<a class="headerlink" href="#fits-files" title="Permalink to this
 </div>
 </div>
 <section id="using-imshow">
-<h4>Using imshow<a class="headerlink" href="#using-imshow" title="Permalink to this headline">#</a></h4>
+<h4>Using imshow<a class="headerlink" href="#using-imshow" title="Link to this heading">#</a></h4>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">hdu_list</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">data</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;gray&#39;</span><span class="p">,</span> <span class="n">origin</span><span class="o">=</span><span class="s1">&#39;lower&#39;</span><span class="p">,</span><span class="n">vmax</span><span class="o">=</span><span class="mf">0.1</span><span class="p">)</span>
@@ -666,17 +694,17 @@ <h4>Using imshow<a class="headerlink" href="#using-imshow" title="Permalink to t
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.image.AxesImage at 0x7fbc6175bee0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.image.AxesImage at 0x7f044ce4f430&gt;
 </pre></div>
 </div>
-<img alt="../../_images/ca874e9ffcbe41ffffb888a6d4d0d8171b8cc41046c416d23d09f5aa6e1c01f0.png" src="../../_images/ca874e9ffcbe41ffffb888a6d4d0d8171b8cc41046c416d23d09f5aa6e1c01f0.png" />
+<img alt="../../_images/db156ba163bbd218a1a3b3421593170e4a97b35284890c421a8b76b1fb2c7126.png" src="../../_images/db156ba163bbd218a1a3b3421593170e4a97b35284890c421a8b76b1fb2c7126.png" />
 </div>
 </div>
 </section>
 </section>
 </section>
 <section id="example-of-data-available-through-multiple-services">
-<h2>4. Example of data available through multiple services<a class="headerlink" href="#example-of-data-available-through-multiple-services" title="Permalink to this headline">#</a></h2>
+<h2>4. Example of data available through multiple services<a class="headerlink" href="#example-of-data-available-through-multiple-services" title="Link to this heading">#</a></h2>
 <p>Suppose we want Sloan DSS data.  A generic query finds us a number of possibilities (note that this doesn’t work for keywords=[‘sdss’];  be flexible and try several search terms):</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -687,7 +715,7 @@ <h2>4. Example of data available through multiple services<a class="headerlink"
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=2</i>
-<table id="table140447987676064" class="table-striped table-bordered table-condensed">
+<table id="table139656445857840" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ivoid</th><th>short_name</th></tr></thead>
 <thead><tr><th>object</th><th>object</th></tr></thead>
 <tr><td>ivo://nasa.heasarc/skyview/sdssdr7</td><td>SDSSDR7</td></tr>
@@ -696,7 +724,7 @@ <h2>4. Example of data available through multiple services<a class="headerlink"
 </div>
 <p>So one of these is served by SDSS’s SkyServer and the other by HEASARC’s SkyView.</p>
 <section id="using-heasarc">
-<h3>Using HEASARC<a class="headerlink" href="#using-heasarc" title="Permalink to this headline">#</a></h3>
+<h3>Using HEASARC<a class="headerlink" href="#using-heasarc" title="Link to this heading">#</a></h3>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">heasarc_dr7_service</span> <span class="o">=</span> <span class="p">[</span><span class="n">s</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">services</span> <span class="k">if</span> <span class="s1">&#39;SDSSDR7&#39;</span> <span class="ow">in</span> <span class="n">s</span><span class="o">.</span><span class="n">short_name</span> <span class="ow">and</span> <span class="s1">&#39;heasarc&#39;</span> <span class="ow">in</span> <span class="n">s</span><span class="o">.</span><span class="n">ivoid</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
@@ -708,14 +736,14 @@ <h3>Using HEASARC<a class="headerlink" href="#using-heasarc" title="Permalink to
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=5</i>
-<table id="table140447065221312" class="table-striped table-bordered table-condensed">
+<table id="table139656445867248" class="table-striped table-bordered table-condensed">
 <thead><tr><th>Survey</th><th>Ra</th><th>Dec</th><th>Dim</th><th>Size</th><th>Scale</th><th>Format</th><th>PixFlags</th><th>URL</th><th>LogicalName</th></tr></thead>
 <thead><tr><th>object</th><th>float64</th><th>float64</th><th>int32</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>
-<tr><td>sdssdr7g</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=sdssdr7g&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304547192&amp;return=FITS</td><td>1</td></tr>
-<tr><td>sdssdr7i</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=sdssdr7i&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304547594&amp;return=FITS</td><td>2</td></tr>
-<tr><td>sdssdr7u</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=sdssdr7u&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304548087&amp;return=FITS</td><td>3</td></tr>
-<tr><td>sdssdr7r</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=sdssdr7r&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304548521&amp;return=FITS</td><td>4</td></tr>
-<tr><td>sdssdr7z</td><td>202.469575</td><td>47.1952583</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.469575%2C47.1952583&amp;survey=sdssdr7z&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304548911&amp;return=FITS</td><td>5</td></tr>
+<tr><td>sdssdr7g</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=sdssdr7g&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546338862&amp;return=FITS</td><td>1</td></tr>
+<tr><td>sdssdr7i</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=sdssdr7i&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546339442&amp;return=FITS</td><td>2</td></tr>
+<tr><td>sdssdr7u</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=sdssdr7u&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546340012&amp;return=FITS</td><td>3</td></tr>
+<tr><td>sdssdr7r</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=sdssdr7r&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546340702&amp;return=FITS</td><td>4</td></tr>
+<tr><td>sdssdr7z</td><td>202.484167</td><td>47.230556</td><td>2</td><td>[300 300]</td><td>[-0.0006666666666666668 0.0006666666666666668]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=202.484167%2C47.230556&amp;survey=sdssdr7z&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.20000000000000004%2C0.20000000000000004&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546341286&amp;return=FITS</td><td>5</td></tr>
 </table></div></div></div>
 </div>
 <div class="cell docutils container">
@@ -735,15 +763,15 @@ <h3>Using HEASARC<a class="headerlink" href="#using-heasarc" title="Permalink to
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.image.AxesImage at 0x7fbc6175a9e0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.image.AxesImage at 0x7f044ce4e7d0&gt;
 </pre></div>
 </div>
-<img alt="../../_images/2cd87b8bacf966fd9b560b68dd3acc1b2ac23dde0f5c942cb81a6fd71d5a3a6d.png" src="../../_images/2cd87b8bacf966fd9b560b68dd3acc1b2ac23dde0f5c942cb81a6fd71d5a3a6d.png" />
+<img alt="../../_images/becbc3dba930bd3e58ae0ff101cd453fbc08f023c9d28f6e8f32fa214b51bf8a.png" src="../../_images/becbc3dba930bd3e58ae0ff101cd453fbc08f023c9d28f6e8f32fa214b51bf8a.png" />
 </div>
 </div>
 </section>
 <section id="using-sdss-skyserver">
-<h3>Using SDSS SkyServer<a class="headerlink" href="#using-sdss-skyserver" title="Permalink to this headline">#</a></h3>
+<h3>Using SDSS SkyServer<a class="headerlink" href="#using-sdss-skyserver" title="Link to this heading">#</a></h3>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">jhu_dr7_service</span> <span class="o">=</span> <span class="p">[</span><span class="n">s</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">services</span> <span class="k">if</span> <span class="s1">&#39;SDSSDR7&#39;</span> <span class="ow">in</span> <span class="n">s</span><span class="o">.</span><span class="n">short_name</span> <span class="ow">and</span> <span class="s1">&#39;jhu&#39;</span> <span class="ow">in</span> <span class="n">s</span><span class="o">.</span><span class="n">ivoid</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
@@ -757,19 +785,26 @@ <h3>Using SDSS SkyServer<a class="headerlink" href="#using-sdss-skyserver" title
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING: AstropyDeprecationWarning: show_in_notebook() is deprecated as of 6.1 and to create
+         interactive tables it is recommended to use dedicated tools like:
+         - https://github.com/bloomberg/ipydatagrid
+         - https://docs.bokeh.org/en/latest/docs/user_guide/interaction/widgets.html#datatable
+         - https://dash.plotly.com/datatable [warnings]
+</pre></div>
+</div>
 <div class="output text_html"><i>Table length=30</i>
-<table id="table140447046541776-703270" class="table-striped table-bordered table-condensed">
+<table id="table139656445855680-164059" class="table-striped table-bordered table-condensed">
 <thead><tr><th>idx</th><th>Title</th><th>width</th><th>height</th><th>size</th><th>RA</th><th>DEC</th><th>scale</th><th>format</th><th>url</th><th>equinox</th><th>naxes</th><th>naxis</th><th>crtype</th><th>crpix</th><th>crval</th><th>cdval</th></tr></thead>
-<tr><td>0</td><td>Sloan Digital Sky Survey - Filter u</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.439715840115</td><td>47.1222952774076</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-u6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.439715840115 47.1222952774076]</td><td>[3.57829352076884e-05 0.000157654334590212 0.000107291403325821\n -2.42761847386219e-05]</td></tr>
-<tr><td>1</td><td>Sloan Digital Sky Survey - Filter g</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.438763451233</td><td>47.1224982411069</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-g6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.438763451233 47.1224982411069]</td><td>[3.57455198349534e-05 0.000157658871914506 0.000107248674325512\n -2.4298297148212e-05]</td></tr>
-<tr><td>2</td><td>Sloan Digital Sky Survey - Filter r</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.440760551524</td><td>47.1223224530134</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-r6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.440760551524 47.1223224530134]</td><td>[3.57284422970295e-05 0.000157658504949188 0.000107285884319316\n -2.43020165047957e-05]</td></tr>
-<tr><td>3</td><td>Sloan Digital Sky Survey - Filter i</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.440280828514</td><td>47.1221470640024</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-i6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.440280828514 47.1221470640024]</td><td>[3.57634273620044e-05 0.00015761708892598 0.000107330126376146\n -2.43196618936367e-05]</td></tr>
-<tr><td>4</td><td>Sloan Digital Sky Survey - Filter z</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.439529079822</td><td>47.1222577816612</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-z6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.439529079822 47.1222577816612]</td><td>[3.57150015372814e-05 0.000157643765195985 0.000107288170305585\n -2.43520424844304e-05]</td></tr>
-<tr><td>5</td><td>Sloan Digital Sky Survey - Filter u</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.471051455651</td><td>47.3353076054504</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-u6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.471051455651 47.3353076054504]</td><td>[3.59720233632108e-05 0.000158234026889022 0.000107269639460545\n -2.43685414700374e-05]</td></tr>
-<tr><td>6</td><td>Sloan Digital Sky Survey - Filter g</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.470063167219</td><td>47.3355466663192</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-g6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.470063167219 47.3355466663192]</td><td>[3.59432847686782e-05 0.000158250992709564 0.000107232188959642\n -2.43648103577398e-05]</td></tr>
-<tr><td>7</td><td>Sloan Digital Sky Survey - Filter r</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.472135546076</td><td>47.3353955051599</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-r6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.472135546076 47.3353955051599]</td><td>[3.59415181020478e-05 0.000158248434019201 0.000107267969211639\n -2.43568204128413e-05]</td></tr>
-<tr><td>8</td><td>Sloan Digital Sky Survey - Filter i</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.471591570338</td><td>47.3352202087437</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-i6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.471591570338 47.3352202087437]</td><td>[3.59688512209066e-05 0.000158230937820391 0.000107320614280034\n -2.43668898148645e-05]</td></tr>
-<tr><td>9</td><td>Sloan Digital Sky Survey - Filter z</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.470847588819</td><td>47.3353207915745</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-z6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.470847588819 47.3353207915745]</td><td>[3.59150654057983e-05 0.00015824237549979 0.000107275145174036\n -2.43601106879619e-05]</td></tr>
+<tr><td>0</td><td>Sloan Digital Sky Survey - Filter u</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.471051455651</td><td>47.3353076054504</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-u6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.471051455651 47.3353076054504]</td><td>[3.59720233632108e-05 0.000158234026889022 0.000107269639460545\n -2.43685414700374e-05]</td></tr>
+<tr><td>1</td><td>Sloan Digital Sky Survey - Filter g</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.470063167219</td><td>47.3355466663192</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-g6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.470063167219 47.3355466663192]</td><td>[3.59432847686782e-05 0.000158250992709564 0.000107232188959642\n -2.43648103577398e-05]</td></tr>
+<tr><td>2</td><td>Sloan Digital Sky Survey - Filter r</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.472135546076</td><td>47.3353955051599</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-r6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.472135546076 47.3353955051599]</td><td>[3.59415181020478e-05 0.000158248434019201 0.000107267969211639\n -2.43568204128413e-05]</td></tr>
+<tr><td>3</td><td>Sloan Digital Sky Survey - Filter i</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.471591570338</td><td>47.3352202087437</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-i6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.471591570338 47.3352202087437]</td><td>[3.59688512209066e-05 0.000158230937820391 0.000107320614280034\n -2.43668898148645e-05]</td></tr>
+<tr><td>4</td><td>Sloan Digital Sky Survey - Filter z</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.470847588819</td><td>47.3353207915745</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3716/42/corr/6/fpC-003716-z6-0117.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.470847588819 47.3353207915745]</td><td>[3.59150654057983e-05 0.00015824237549979 0.000107275145174036\n -2.43601106879619e-05]</td></tr>
+<tr><td>5</td><td>Sloan Digital Sky Survey - Filter u</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.439715840115</td><td>47.1222952774076</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-u6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.439715840115 47.1222952774076]</td><td>[3.57829352076884e-05 0.000157654334590212 0.000107291403325821\n -2.42761847386219e-05]</td></tr>
+<tr><td>6</td><td>Sloan Digital Sky Survey - Filter g</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.438763451233</td><td>47.1224982411069</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-g6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.438763451233 47.1224982411069]</td><td>[3.57455198349534e-05 0.000157658871914506 0.000107248674325512\n -2.4298297148212e-05]</td></tr>
+<tr><td>7</td><td>Sloan Digital Sky Survey - Filter r</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.440760551524</td><td>47.1223224530134</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-r6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.440760551524 47.1223224530134]</td><td>[3.57284422970295e-05 0.000157658504949188 0.000107285884319316\n -2.43020165047957e-05]</td></tr>
+<tr><td>8</td><td>Sloan Digital Sky Survey - Filter i</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.440280828514</td><td>47.1221470640024</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-i6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.440280828514 47.1221470640024]</td><td>[3.57634273620044e-05 0.00015761708892598 0.000107330126376146\n -2.43196618936367e-05]</td></tr>
+<tr><td>9</td><td>Sloan Digital Sky Survey - Filter z</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.439529079822</td><td>47.1222577816612</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-z6-0100.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.439529079822 47.1222577816612]</td><td>[3.57150015372814e-05 0.000157643765195985 0.000107288170305585\n -2.43520424844304e-05]</td></tr>
 <tr><td>10</td><td>Sloan Digital Sky Survey - Filter u</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.225036928579</td><td>47.1551517933957</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-u6-0099.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.225036928579 47.1551517933957]</td><td>[3.53810815495366e-05 0.000157828787897035 0.00010735924586165\n -2.39982457876422e-05]</td></tr>
 <tr><td>11</td><td>Sloan Digital Sky Survey - Filter g</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.224091627324</td><td>47.1553436740585</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-g6-0099.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.224091627324 47.1553436740585]</td><td>[3.53548077171863e-05 0.000157797128208248 0.000107310265876208\n -2.39869405117144e-05]</td></tr>
 <tr><td>12</td><td>Sloan Digital Sky Survey - Filter r</td><td>2048</td><td>1489</td><td>3049472.0</td><td>202.226056492917</td><td>47.1551938665937</td><td>[0.000110035211267606]</td><td>image/fits</td><td>http://das.sdss.org/imaging/3699/41/corr/6/fpC-003699-r6-0099.fit.gz</td><td>--</td><td>2</td><td>[2048 1489]</td><td>RA--TAN,DEC--TAN</td><td>[744.5 1024.5]</td><td>[202.226056492917 47.1551938665937]</td><td>[3.53239854402387e-05 0.000157838092689428 0.000107350303498701\n -2.40134094050143e-05]</td></tr>
@@ -813,14 +848,14 @@ <h3>Using SDSS SkyServer<a class="headerlink" href="#using-sdss-skyserver" title
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 </div>
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.image.AxesImage at 0x7fbc604ce3b0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.image.AxesImage at 0x7f044cdbe6e0&gt;
 </pre></div>
 </div>
-<img alt="../../_images/de20ccf85cbcbdf5166f18f9f8abc0309753b5ab1b3cd0ef21e6df0d68882fcf.png" src="../../_images/de20ccf85cbcbdf5166f18f9f8abc0309753b5ab1b3cd0ef21e6df0d68882fcf.png" />
+<img alt="../../_images/f7704a1205894baa2d637c244e74e32a530fa096ccda28bfecc08b4a8937de38.png" src="../../_images/f7704a1205894baa2d637c244e74e32a530fa096ccda28bfecc08b4a8937de38.png" />
 </div>
 </div>
 <p>It turns out that SkyView is just getting images by using the SIAP internally to get the data from the SDSS service.  The point of the VO protocols is that you don’t need to know where the data are coming from.  But they can be processed differently.</p>
@@ -859,11 +894,10 @@ <h3>Using SDSS SkyServer<a class="headerlink" href="#using-sdss-skyserver" title
 
               
               
-                <footer class="bd-footer-article">
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@@ -937,6 +969,7 @@ <h3>Using SDSS SkyServer<a class="headerlink" href="#using-sdss-skyserver" title
   
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diff --git a/content/reference_notebooks/spectral_access.html b/content/reference_notebooks/spectral_access.html
index 41d764d..f30bffe 100644
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+++ b/content/reference_notebooks/spectral_access.html
@@ -1,13 +1,12 @@
 
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@@ -59,19 +58,23 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <div id="pst-skip-link" class="skip-link d-print-none"><a href="#main-content">Skip to main content</a></div>
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+  <div id="pst-scroll-pixel-helper"></div>
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+  <label class="overlay overlay-secondary" for="pst-secondary-sidebar-checkbox"></label>
   
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 </form></div>
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+  <aside id="bd-header-version-warning" class="d-none d-print-none" aria-label="Version warning"></aside>
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar d-print-none">
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@@ -113,6 +124,9 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
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@@ -121,10 +135,11 @@
   
   
   
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-        <div class="sidebar-primary-item"><ul class="navbar-icon-links navbar-nav"
+        <div class="sidebar-primary-item"><ul class="navbar-icon-links"
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@@ -135,11 +150,22 @@
           
           
           
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+          <a href="https://github.com/NASA-NAVO/navo-workshop" title="GitHub" class="nav-link pst-navbar-icon" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><i class="fa-brands fa-square-github fa-lg" aria-hidden="true"></i>
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-   title="Launch onBinder"
+   title="Launch on Binder"
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@@ -244,14 +270,14 @@
       
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@@ -406,26 +432,28 @@
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+    <i class="theme-switch fa-solid fa-circle-half-stroke fa-lg" data-mode="auto"></i>
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+
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 document.write(`
-  <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <i class="fa-solid fa-magnifying-glass"></i>
+  <button class="btn btn-sm pst-navbar-icon search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
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-<label class="sidebar-toggle secondary-toggle btn btn-sm" for="__secondary"title="Toggle secondary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
+<button class="sidebar-toggle secondary-toggle btn btn-sm" title="Toggle secondary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
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@@ -458,10 +486,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section id="spectral-access">
-<h1>Spectral Access<a class="headerlink" href="#spectral-access" title="Permalink to this headline">#</a></h1>
+<h1>Spectral Access<a class="headerlink" href="#spectral-access" title="Link to this heading">#</a></h1>
 <p>This notebook is one of a set produced by NAVO to demonstrate data access with python tools.</p>
 <p>In this notebook, we show how to search for and retrieve spectra from VO services using the Registry and the <strong><a class="reference external" href="http://www.ivoa.net/documents/SSA/">Simple Spectral Access</a></strong> (SSA) protocol.</p>
 <div class="cell docutils container">
@@ -491,7 +519,7 @@ <h1>Spectral Access<a class="headerlink" href="#spectral-access" title="Permalin
 </div>
 </div>
 <section id="finding-available-spectral-access-services">
-<h2>Finding available Spectral Access Services<a class="headerlink" href="#finding-available-spectral-access-services" title="Permalink to this headline">#</a></h2>
+<h2>Finding available Spectral Access Services<a class="headerlink" href="#finding-available-spectral-access-services" title="Link to this heading">#</a></h2>
 <p>First, we find out what spectral access services (‘ssa’) are available in the Registry offering x-ray data.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -502,7 +530,7 @@ <h2>Finding available Spectral Access Services<a class="headerlink" href="#findi
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=6</i>
-<table id="table140206315911200" class="table-striped table-bordered table-condensed">
+<table id="table140707632814672" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ivoid</th><th>short_name</th></tr></thead>
 <thead><tr><th>object</th><th>object</th></tr></thead>
 <tr><td>ivo://nasa.heasarc/chanmaster</td><td>Chandra</td></tr>
@@ -529,7 +557,7 @@ <h2>Finding available Spectral Access Services<a class="headerlink" href="#findi
 </div>
 </section>
 <section id="chandra-spectrum-of-delta-ori">
-<h2>Chandra Spectrum of Delta Ori<a class="headerlink" href="#chandra-spectrum-of-delta-ori" title="Permalink to this headline">#</a></h2>
+<h2>Chandra Spectrum of Delta Ori<a class="headerlink" href="#chandra-spectrum-of-delta-ori" title="Link to this heading">#</a></h2>
 <p>Getting the list of spectra.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -541,16 +569,23 @@ <h2>Chandra Spectrum of Delta Ori<a class="headerlink" href="#chandra-spectrum-o
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING: AstropyDeprecationWarning: show_in_notebook() is deprecated as of 6.1 and to create
+         interactive tables it is recommended to use dedicated tools like:
+         - https://github.com/bloomberg/ipydatagrid
+         - https://docs.bokeh.org/en/latest/docs/user_guide/interaction/widgets.html#datatable
+         - https://dash.plotly.com/datatable [warnings]
+</pre></div>
+</div>
 <div class="output text_html"><i>Table length=6</i>
-<table id="table140206350902768-827247" class="table-striped table-bordered table-condensed">
+<table id="table140706763970528-636536" class="table-striped table-bordered table-condensed">
 <thead><tr><th>idx</th><th>obsid</th><th>status</th><th>name</th><th>ra</th><th>dec</th><th>time</th><th>detector</th><th>grating</th><th>exposure</th><th>type</th><th>pi</th><th>public_date</th><th>datalink</th><th>SSA_start_time</th><th>SSA_tmid</th><th>SSA_stop_time</th><th>SSA_duration</th><th>SSA_coord_obs</th><th>SSA_ra</th><th>SSA_dec</th><th>SSA_fov</th><th>SSA_title</th><th>SSA_reference</th><th>SSA_datalength</th><th>SSA_datamodel</th><th>SSA_instrument</th><th>SSA_publisher</th><th>SSA_format</th><th>SSA_wavelength_min</th><th>SSA_wavelength_max</th><th>SSA_bandwidth</th><th>SSA_bandpass</th><th>cloud_access</th></tr></thead>
 <thead><tr><th></th><th></th><th></th><th></th><th>deg</th><th>deg</th><th>d</th><th></th><th></th><th>s</th><th></th><th></th><th>d</th><th></th><th>d</th><th>d</th><th>d</th><th>s</th><th>deg</th><th>deg</th><th>deg</th><th>deg</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>m</th><th>m</th><th>m</th><th>m</th><th></th></tr></thead>
-<tr><td>0</td><td>639</td><td>archived</td><td>DELTA ORI</td><td>83.00125</td><td>-0.29917</td><td>51556.1364</td><td>ACIS-S</td><td>HETG</td><td>49680</td><td>GO</td><td>Cassinelli</td><td>52037</td><td>11172:chandra.obs.misc</td><td>51556.136400463</td><td>--</td><td>--</td><td>49680.0</td><td>--</td><td>83.00125</td><td>-0.29917</td><td>0.81</td><td>acisf00639N004_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/9/639/primary/acisf00639N004_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/9/639/primary/acisf00639N004_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>1</td><td>14570</td><td>archived</td><td>Delta Ori</td><td>83.00167</td><td>-0.29908</td><td>56285.5508</td><td>ACIS-S</td><td>HETG</td><td>124100</td><td>GO</td><td>Corcoran</td><td>56652</td><td>11173:chandra.obs.misc</td><td>56285.5507986111</td><td>--</td><td>--</td><td>124100.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>acisf14570N003_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/0/14570/primary/acisf14570N003_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/0/14570/primary/acisf14570N003_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>2</td><td>14567</td><td>archived</td><td>Delta Ori</td><td>83.00167</td><td>-0.29908</td><td>56280.7037</td><td>ACIS-S</td><td>HETG</td><td>116500</td><td>GO</td><td>Corcoran</td><td>56647</td><td>11174:chandra.obs.misc</td><td>56280.7036921296</td><td>--</td><td>--</td><td>116500.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>acisf14567N003_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/7/14567/primary/acisf14567N003_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/7/14567/primary/acisf14567N003_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>3</td><td>14568</td><td>archived</td><td>Delta Ori</td><td>83.00167</td><td>-0.29908</td><td>56288.1612</td><td>ACIS-S</td><td>HETG</td><td>123600</td><td>GO</td><td>Corcoran</td><td>56655</td><td>11175:chandra.obs.misc</td><td>56288.1612268519</td><td>--</td><td>--</td><td>123600.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>acisf14568N003_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/8/14568/primary/acisf14568N003_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/8/14568/primary/acisf14568N003_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>4</td><td>7416</td><td>archived</td><td>delta Ori (HD 36486)</td><td>83.00167</td><td>-0.29908</td><td>54413.427</td><td>HRC-S</td><td>LETG</td><td>97080</td><td>GO</td><td>Raassen</td><td>54783</td><td>11176:chandra.obs.misc</td><td>54413.4270486111</td><td>--</td><td>--</td><td>97080.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>hrcf07416N004_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/6/7416/primary/hrcf07416N004_pha2.fits.gz</td><td>2</td><td>Spectrum-1.0</td><td>HRC-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/6/7416/primary/hrcf07416N004_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>5</td><td>14569</td><td>archived</td><td>Delta Ori</td><td>83.00167</td><td>-0.29908</td><td>56283.254</td><td>ACIS-S</td><td>HETG</td><td>120850</td><td>GO</td><td>Corcoran</td><td>56650</td><td>11177:chandra.obs.misc</td><td>56283.2539814815</td><td>--</td><td>--</td><td>120850.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>acisf14569N003_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/9/14569/primary/acisf14569N003_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/9/14569/primary/acisf14569N003_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>0</td><td>639</td><td>archived</td><td>DELTA ORI</td><td>83.00125</td><td>-0.29917</td><td>51556.1364</td><td>ACIS-S</td><td>HETG</td><td>49680</td><td>GO</td><td>Cassinelli</td><td>52037</td><td>11313:chandra.obs.misc</td><td>51556.136400463</td><td>--</td><td>--</td><td>49680.0</td><td>--</td><td>83.00125</td><td>-0.29917</td><td>0.81</td><td>acisf00639N005_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/9/639/primary/acisf00639N005_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/9/639/primary/acisf00639N005_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>1</td><td>7416</td><td>archived</td><td>delta Ori (HD 36486)</td><td>83.00167</td><td>-0.29908</td><td>54413.427</td><td>HRC-S</td><td>LETG</td><td>97080</td><td>GO</td><td>Raassen</td><td>54783</td><td>11314:chandra.obs.misc</td><td>54413.4270486111</td><td>--</td><td>--</td><td>97080.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>hrcf07416N004_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/6/7416/primary/hrcf07416N004_pha2.fits.gz</td><td>2</td><td>Spectrum-1.0</td><td>HRC-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/6/7416/primary/hrcf07416N004_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>2</td><td>14570</td><td>archived</td><td>Delta Ori</td><td>83.00167</td><td>-0.29908</td><td>56285.5508</td><td>ACIS-S</td><td>HETG</td><td>124100</td><td>GO</td><td>Corcoran</td><td>56652</td><td>11315:chandra.obs.misc</td><td>56285.5507986111</td><td>--</td><td>--</td><td>124100.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>acisf14570N003_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/0/14570/primary/acisf14570N003_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/0/14570/primary/acisf14570N003_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>3</td><td>14569</td><td>archived</td><td>Delta Ori</td><td>83.00167</td><td>-0.29908</td><td>56283.254</td><td>ACIS-S</td><td>HETG</td><td>120850</td><td>GO</td><td>Corcoran</td><td>56650</td><td>11316:chandra.obs.misc</td><td>56283.2539814815</td><td>--</td><td>--</td><td>120850.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>acisf14569N003_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/9/14569/primary/acisf14569N003_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/9/14569/primary/acisf14569N003_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>4</td><td>14568</td><td>archived</td><td>Delta Ori</td><td>83.00167</td><td>-0.29908</td><td>56288.1612</td><td>ACIS-S</td><td>HETG</td><td>123600</td><td>GO</td><td>Corcoran</td><td>56655</td><td>11317:chandra.obs.misc</td><td>56288.1612268519</td><td>--</td><td>--</td><td>123600.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>acisf14568N003_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/8/14568/primary/acisf14568N003_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/8/14568/primary/acisf14568N003_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>5</td><td>14567</td><td>archived</td><td>Delta Ori</td><td>83.00167</td><td>-0.29908</td><td>56280.7037</td><td>ACIS-S</td><td>HETG</td><td>116500</td><td>GO</td><td>Corcoran</td><td>56647</td><td>11318:chandra.obs.misc</td><td>56280.7036921296</td><td>--</td><td>--</td><td>116500.0</td><td>--</td><td>83.00167</td><td>-0.29908</td><td>0.81</td><td>acisf14567N003_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/7/14567/primary/acisf14567N003_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/7/14567/primary/acisf14567N003_pha2.fits.gz&quot;}}</td></tr>
 </table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}
 .dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{
 display: inline-block; margin-right: 1em; }
@@ -574,14 +609,14 @@ <h2>Chandra Spectrum of Delta Ori<a class="headerlink" href="#chandra-spectrum-o
     datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'
 }});
 require(["datatables"], function(){
-    console.log("$('#table140206350902768-827247').dataTable()");
+    console.log("$('#table140706763970528-636536').dataTable()");
     
 jQuery.extend( jQuery.fn.dataTableExt.oSort, {
     "optionalnum-asc": astropy_sort_num,
     "optionalnum-desc": function (a,b) { return -astropy_sort_num(a, b); }
 });
 
-    $('#table140206350902768-827247').dataTable({
+    $('#table140706763970528-636536').dataTable({
         order: [],
         pageLength: 50,
         lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],
@@ -608,7 +643,7 @@ <h2>Chandra Spectrum of Delta Ori<a class="headerlink" href="#chandra-spectrum-o
 </div>
 </section>
 <section id="simple-example-of-plotting-a-spectrum">
-<h2>Simple example of plotting a spectrum<a class="headerlink" href="#simple-example-of-plotting-a-spectrum" title="Permalink to this headline">#</a></h2>
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+<table id="table140706724917360" class="table-striped table-bordered table-condensed">
 <thead><tr><th>SPEC_NUM</th><th>TG_M</th><th>TG_PART</th><th>TG_SRCID</th><th>X</th><th>Y</th><th>CHANNEL</th><th>COUNTS</th><th>STAT_ERR</th><th>BACKGROUND_UP</th><th>BACKGROUND_DOWN</th><th>BIN_LO</th><th>BIN_HI</th></tr></thead>
 <thead><tr><th>int16</th><th>int16</th><th>int16</th><th>int16</th><th>float32</th><th>float32</th><th>int16[8192]</th><th>int16[8192]</th><th>float32[8192]</th><th>int16[8192]</th><th>int16[8192]</th><th>float64[8192]</th><th>float64[8192]</th></tr></thead>
-<tr><td>1</td><td>-3</td><td>1</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>7.159166666667378 .. 0.3333333333333333</td><td>7.160000000000712 .. 0.33416666666666667</td></tr>
-<tr><td>2</td><td>-2</td><td>1</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>10.738750000000886 .. 0.5</td><td>10.740000000000887 .. 0.50125</td></tr>
-<tr><td>3</td><td>-1</td><td>1</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>21.477500000001772 .. 1.0</td><td>21.480000000001773 .. 1.0025</td></tr>
-<tr><td>4</td><td>1</td><td>1</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>21.477500000001772 .. 1.0</td><td>21.480000000001773 .. 1.0025</td></tr>
-<tr><td>5</td><td>2</td><td>1</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>10.738750000000886 .. 0.5</td><td>10.740000000000887 .. 0.50125</td></tr>
-<tr><td>6</td><td>3</td><td>1</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>7.159166666667378 .. 0.3333333333333333</td><td>7.160000000000712 .. 0.33416666666666667</td></tr>
-<tr><td>7</td><td>-3</td><td>2</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>13.985000000001373 .. 0.3333333333333333</td><td>13.98666666666804 .. 0.33499999999999996</td></tr>
-<tr><td>8</td><td>-2</td><td>2</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>20.977500000001505 .. 0.5</td><td>20.980000000001507 .. 0.5025</td></tr>
-<tr><td>9</td><td>-1</td><td>2</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>41.95500000000301 .. 1.0</td><td>41.960000000003014 .. 1.005</td></tr>
-<tr><td>10</td><td>1</td><td>2</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>41.95500000000301 .. 1.0</td><td>41.960000000003014 .. 1.005</td></tr>
-<tr><td>11</td><td>2</td><td>2</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>20.977500000001505 .. 0.5</td><td>20.980000000001507 .. 0.5025</td></tr>
-<tr><td>12</td><td>3</td><td>2</td><td>1</td><td>4102.815</td><td>4131.828</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>13.985000000001373 .. 0.3333333333333333</td><td>13.98666666666804 .. 0.33499999999999996</td></tr>
+<tr><td>1</td><td>-3</td><td>1</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>7.159166666667378 .. 0.3333333333333333</td><td>7.160000000000712 .. 0.33416666666666667</td></tr>
+<tr><td>2</td><td>-2</td><td>1</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>10.738750000000886 .. 0.5</td><td>10.740000000000887 .. 0.50125</td></tr>
+<tr><td>3</td><td>-1</td><td>1</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>21.477500000001772 .. 1.0</td><td>21.480000000001773 .. 1.0025</td></tr>
+<tr><td>4</td><td>1</td><td>1</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>21.477500000001772 .. 1.0</td><td>21.480000000001773 .. 1.0025</td></tr>
+<tr><td>5</td><td>2</td><td>1</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>10.738750000000886 .. 0.5</td><td>10.740000000000887 .. 0.50125</td></tr>
+<tr><td>6</td><td>3</td><td>1</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>7.159166666667378 .. 0.3333333333333333</td><td>7.160000000000712 .. 0.33416666666666667</td></tr>
+<tr><td>7</td><td>-3</td><td>2</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>13.985000000001373 .. 0.3333333333333333</td><td>13.98666666666804 .. 0.33499999999999996</td></tr>
+<tr><td>8</td><td>-2</td><td>2</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>20.977500000001505 .. 0.5</td><td>20.980000000001507 .. 0.5025</td></tr>
+<tr><td>9</td><td>-1</td><td>2</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>41.95500000000301 .. 1.0</td><td>41.960000000003014 .. 1.005</td></tr>
+<tr><td>10</td><td>1</td><td>2</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>41.95500000000301 .. 1.0</td><td>41.960000000003014 .. 1.005</td></tr>
+<tr><td>11</td><td>2</td><td>2</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>20.977500000001505 .. 0.5</td><td>20.980000000001507 .. 0.5025</td></tr>
+<tr><td>12</td><td>3</td><td>2</td><td>1</td><td>4094.9138</td><td>4132.076</td><td>1 .. 8192</td><td>0 .. 0</td><td>1.8660254 .. 1.8660254</td><td>0 .. 0</td><td>0 .. 0</td><td>13.985000000001373 .. 0.3333333333333333</td><td>13.98666666666804 .. 0.33499999999999996</td></tr>
 </table></div></div></div>
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 <div class="cell docutils container">
@@ -659,7 +694,7 @@ <h2>Simple example of plotting a spectrum<a class="headerlink" href="#simple-exa
 </div>
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-<img alt="../../_images/32574a1cc3e011d5057d17765b7880f448c88b93b46f0ee47001ab17527015d7.png" src="../../_images/32574a1cc3e011d5057d17765b7880f448c88b93b46f0ee47001ab17527015d7.png" />
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 </div>
 </div>
 <p>This can then be analyzed in your favorite spectral analysis tool, e.g., <a class="reference external" href="https://heasarc.gsfc.nasa.gov/xanadu/xspec/python/html/index.html">pyXspec</a>.  (For the winter 2018 AAS workshop, we demonstrated this in a <a class="reference external" href="https://github.com/NASA-NAVO/aas_workshop_2018/blob/master/heasarc/heasarc_Spectral_Access.md">notebook</a> that you can consult for how to use pyXspec, but the pyXspec documentation will have more information.)</p>
@@ -672,11 +707,10 @@ <h2>Simple example of plotting a spectrum<a class="headerlink" href="#simple-exa
 
               
               
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@@ -135,11 +150,22 @@
           
           
           
-          <a href="https://github.com/NASA-NAVO/navo-workshop" title="GitHub" class="nav-link" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><span><i class="fa-brands fa-square-github"></i></span>
-            <label class="sr-only">GitHub</label></a>
+          <a href="https://github.com/NASA-NAVO/navo-workshop" title="GitHub" class="nav-link pst-navbar-icon" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><i class="fa-brands fa-square-github fa-lg" aria-hidden="true"></i>
+            <span class="sr-only">GitHub</span></a>
         </li>
 </ul></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         
         <ul class="nav bd-sidenav bd-sidenav__home-link">
@@ -185,7 +211,7 @@
 
       </div>
       
-      <main id="main-content" class="bd-main">
+      <main id="main-content" class="bd-main" role="main">
         
         
 
@@ -194,14 +220,14 @@
           <div class="bd-content">
             <div class="bd-article-container">
               
-              <div class="bd-header-article">
+              <div class="bd-header-article d-print-none">
 <div class="header-article-items header-article__inner">
   
     <div class="header-article-items__start">
       
-        <div class="header-article-item"><label class="sidebar-toggle primary-toggle btn btn-sm" for="__primary" title="Toggle primary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
+        <div class="header-article-item"><button class="sidebar-toggle primary-toggle btn btn-sm" title="Toggle primary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
   <span class="fa-solid fa-bars"></span>
-</label></div>
+</button></div>
       
     </div>
   
@@ -226,14 +252,14 @@
       
       <li><a href="https://mybinder.org/v2/gh/NASA-NAVO/navo-workshop/main?urlpath=tree/content/reference_notebooks/ucds_unified_content_descriptors.md" target="_blank"
    class="btn btn-sm dropdown-item"
-   title="Launch onBinder"
+   title="Launch on Binder"
    data-bs-placement="left" data-bs-toggle="tooltip"
 >
   
 
 <span class="btn__icon-container">
   
-    <img src="../../_static/images/logo_binder.svg">
+    <img alt="Binder logo" src="../../_static/images/logo_binder.svg">
   </span>
 <span class="btn__text-container">Binder</span>
 </a>
@@ -244,14 +270,14 @@
       
       <li><a href="https://colab.research.google.com/github/NASA-NAVO/navo-workshop/blob/main/content/reference_notebooks/ucds_unified_content_descriptors.md" target="_blank"
    class="btn btn-sm dropdown-item"
-   title="Launch onColab"
+   title="Launch on Colab"
    data-bs-placement="left" data-bs-toggle="tooltip"
 >
   
 
 <span class="btn__icon-container">
   
-    <img src="../../_static/images/logo_colab.png">
+    <img alt="Colab logo" src="../../_static/images/logo_colab.png">
   </span>
 <span class="btn__text-container">Colab</span>
 </a>
@@ -406,20 +432,22 @@
 </button>
 
 
+
 <script>
 document.write(`
-  <button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <span class="theme-switch" data-mode="light"><i class="fa-solid fa-sun"></i></span>
-    <span class="theme-switch" data-mode="dark"><i class="fa-solid fa-moon"></i></span>
-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm nav-link pst-navbar-icon theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="theme-switch fa-solid fa-sun fa-lg" data-mode="light"></i>
+    <i class="theme-switch fa-solid fa-moon fa-lg" data-mode="dark"></i>
+    <i class="theme-switch fa-solid fa-circle-half-stroke fa-lg" data-mode="auto"></i>
   </button>
 `);
 </script>
 
+
 <script>
 document.write(`
-  <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+  <button class="btn btn-sm pst-navbar-icon search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -446,10 +474,10 @@ <h1>UCDs (Unified Content Descriptors)</h1>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section id="ucds-unified-content-descriptors">
-<h1>UCDs (Unified Content Descriptors)<a class="headerlink" href="#ucds-unified-content-descriptors" title="Permalink to this headline">#</a></h1>
+<h1>UCDs (Unified Content Descriptors)<a class="headerlink" href="#ucds-unified-content-descriptors" title="Link to this heading">#</a></h1>
 <p>Suppose you want to do something using a column that you expect to find in a bunch of different tables, like coordinates and time.  It’s a good bet that many if not most of the tables have coordinate columns, but there’s no rule about what they have to be named.</p>
 <p>When doing detailed catalog queries with the TAP, you can obviously examine the columns of every table you’re interested in to find the columns you want.  Then you can hard-code the correct ones into each query for each table and service.</p>
 <p>Or, you can also search for keywords like “ra” or “ascension” in the columns and their descriptions to get the columns you want automatically that way.</p>
@@ -498,16 +526,14 @@ <h1>UCDs (Unified Content Descriptors)<a class="headerlink" href="#ucds-unified-
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>32 tables:
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>tap_schema.schemas             - description of schemas in this dataset
-----
-tap_schema.tables              - description of tables in this dataset
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>13 tables:
+tap_schema.schemas             - description of schemas in this dataset
 ----
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>tap_schema.columns             - description of columns in this dataset
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>tap_schema.tables              - description of tables in this dataset
+----
+tap_schema.columns             - description of columns in this dataset
 ----
 tap_schema.keys                - description of foreign keys in this dataset
 ----
@@ -515,87 +541,27 @@ <h1>UCDs (Unified Content Descriptors)<a class="headerlink" href="#ucds-unified-
 </div>
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>tap_schema.key_columns         - description of foreign key columns in this dataset
 ----
-dbo.DetailedCatalog            - None
-----
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dbo.SumMagAper2Cat             - None
-----
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dbo.SumMagAutoCat              - None
-----
-dbo.Catalog_ACS_SourceExtractor - None
-----
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dbo.Catalog_WFC3_SourceExtractor - None
-----
-dbo.Catalog_WFPC2_SourceExtractor - None
-----
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dbo.Catalog_Image_MetaData     - None
-----
-dbo.CloseMatch                 - None
-----
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dbo.ClosestMatch               - None
-----
-dbo.GroupMembers               - None
-----
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dbo.Groups                     - None
-----
-dbo.HCVdetailedView            - None
-----
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dbo.HCVsummaryView             - None
-----
-dbo.HLAscience                 - None
-----
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dbo.ImageMembers               - None
-----
-dbo.Images                     - None
-----
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dbo.ProductMembers             - None
-----
-dbo.ProperMotionsView          - None
-----
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dbo.SourceLinks                - None
-----
-dbo.SourcePositionsView        - None
+dbo.detailedcatalog            - Detailed list of source catalog parameters
 ----
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dbo.Sources                    - None
+dbo.hcvdetailedview            - Detailed list of Hubble Catalog of Variables parameters
 ----
-dbo.SumMagAper2CatView         - None
+dbo.hcvsummaryview             - Summary list of Hubble Catalog of Variables parameters
 ----
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dbo.SumMagAutoCatView          - None
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dbo.propermotionsview          - List of proper motion information
 ----
-dbo.WFPC2PCFRAC                - None
+dbo.sourcepositionsview        - List of source position information
 ----
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dbo.XMatchV2                   - None
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dbo.summagaper2catview         - Summary list of source catalog with Aper2 magnitudes
 ----
-dbo.HCVdetailedViewT           - None
+dbo.summagautocatview          - Summary list of source catalog with MagAuto magnitudes
 ----
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dbo.HCVsummaryViewT            - None
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dbo.catalog_image_metadata     - Summary list of Image processing metadata
 ----
 </pre></div>
 </div>
@@ -604,68 +570,68 @@ <h1>UCDs (Unified Content Descriptors)<a class="headerlink" href="#ucds-unified-
 <p>Let’s look at the first 10 columns of the DetailedCatalog table.  Again, note that calling the columns attribute sends another query to the service to ask for the columns.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">columns</span><span class="o">=</span><span class="n">tables</span><span class="p">[</span><span class="s1">&#39;dbo.DetailedCatalog&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">columns</span>
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">columns</span><span class="o">=</span><span class="n">tables</span><span class="p">[</span><span class="s1">&#39;dbo.detailedcatalog&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">columns</span>
 <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">columns</span><span class="p">:</span>
     <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">c</span><span class="o">.</span><span class="n">name</span><span class="si">}</span><span class="s2"> [</span><span class="si">{</span><span class="n">c</span><span class="o">.</span><span class="n">ucd</span><span class="si">}</span><span class="s2">]&quot;</span><span class="si">:</span><span class="s1">30s</span><span class="si">}</span><span class="s1"> - </span><span class="si">{</span><span class="n">c</span><span class="o">.</span><span class="n">description</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
 </pre></div>
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>CatID [meta.id;meta.main]      - Unique identifier for the catalog entry
-MatchID [meta.id.cross]        - identifier for the match
-MemID [meta.id.assoc]          - Unique identifier for each source of a match
-SourceID [meta.id.assoc]       - Source identifier from white light (detection) image
-ImageID [meta.id.parent]       - Identifier for the HLA image
-Det [meta.code.status]         - Is source detected in this observation (Y/N)
-MatchRA [pos.eq.ra;meta.main]  - Right Ascension (J2000)of match
-MatchDec [pos.eq.dec;meta.main] - Declination (J2000) of match
-SourceRA [pos.eq.ra;meta.main] - Right Ascension (J2000)of source
-SourceDec [pos.eq.dec;meta.main] - Declination (J2000) of source
-D [pos.angDistance]            - distance between source and match
-Dsigma [stat.stdev;pos.angDistance] - std dev of distance between source and match
-AbsCorr [meta.code.status]     - Astrometry correction flag
-Ximage [pos.cartesian.x]       - X position of source in image coordinates
-Yimage [pos.cartesian.y]       - Y position of source in image coordinates
-ImageName [meta.dataset]       - HLA image Name
-Instrument [instr]             - Instrument
-Mode [instr.setup]             - Observing mode
-Detector [instr.setup;instr.det] - Detector
-Aperture [instr.setup]         - Aperture
-ExposureTime [time.duration]   - Exposure time
-StartTime [time.start]         - Observation Start Time
-StopTime [time.end]            - Observation Stop Time
-StartMJD [time.start]          - Observation MJD Start Time
-StopMJD [time.end]             - Observation MJD Stop Time
-Wavelength [em.wl]             - Pivot wavelength in Angstroms
-Filter [instr.setup;instr.filter] - Filter
-TargetName [meta.id.assoc]     - Target Name for observation
-FluxAper2 [phot.flux]          - Count rate with an aperture radius 0.3 arcsec (WFPC2); 0.15 arcsec (ACS and WFC3/UVIS); 0.45 arcsec (WFC3/IR)
-MagAper2 [phot.mag]            - Magnitude  with an aperture radius 0.3 arcsec (WFPC2); 0.15 arcsec (ACS and WFC3/UVIS); 0.45 arcsec (WFC3/IR)
-MagAuto [phot.mag]             - Estimated total magnitude using Source Extractor algorithm
-PropID [obs.param]             - HST proposal number
-CI [phot.mag;arith.diff]       - Normalized (by detector and filter) mean value of Concentration Index defined as difference between magnitude in small and large apertures
-KronRadius [phys.size.radius;stat.mean] - Mean value of the Kron Radius from Source Extractor
-Flags [meta.code.status]       - Bit encoded flag: bit 0 (value 0) = point source; (value 1) = extended; bits 1 or 2 (values 2 or 4) = saturated
-</pre></div>
-</div>
-</div>
-</div>
-<p>The PyVO method to get the columns will automatically fetch all the meta-data about those columns.  It’s up to the service provider to set them correctly, of course, but in this case, we see that the column named “MatchRA” is identified with the UCD “pos.eq.ra”.</p>
-<p>So if we did not know the exact name used in HSCv3 for the RA, we could do something like this looking for the string “RA”:</p>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>catid [meta.id;meta.main]      - unique identifier for the catalog entry
+matchid [meta.id.cross]        - identifier for the match
+memid [meta.id.assoc]          - unique identifier for each source of a match
+sourceid [meta.id.assoc]       - source identifier from white light (detection) image
+imageid [meta.id.parent]       - identifier for the hla image
+det [meta.code.status]         - is source detected in this observation (y/n)
+matchra [pos.eq.ra;meta.main]  - right ascension (j2000)of match
+matchdec [pos.eq.dec;meta.main] - declination (j2000) of match
+sourcera [pos.eq.ra;meta.main] - right ascension (j2000)of source
+sourcedec [pos.eq.dec;meta.main] - declination (j2000) of source
+d [pos.angdistance]            - distance between source and match
+dsigma [stat.stdev;pos.angdistance] - std dev of distance between source and match
+abscorr [meta.code.status]     - astrometry correction flag
+ximage [pos.cartesian.x]       - x position of source in image coordinates
+yimage [pos.cartesian.y]       - y position of source in image coordinates
+imagename [meta.dataset]       - hla image name
+instrument [instr]             - instrument
+mode [instr.setup]             - observing mode
+detector [instr.setup;instr.det] - detector
+aperture [instr.setup]         - aperture
+exposuretime [time.duration]   - exposure time
+starttime [time.start]         - observation start time
+stoptime [time.end]            - observation stop time
+startmjd [time.start]          - observation mjd start time
+stopmjd [time.end]             - observation mjd stop time
+wavelength [em.wl]             - pivot wavelength in angstroms
+filter [instr.setup;instr.filter] - filter
+targetname [meta.id.assoc]     - target name for observation
+fluxaper2 [phot.flux]          - count rate with an aperture radius 0.3 arcsec (wfpc2); 0.15 arcsec (acs and wfc3/uvis); 0.45 arcsec (wfc3/ir)
+magaper2 [phot.mag]            - magnitude  with an aperture radius 0.3 arcsec (wfpc2); 0.15 arcsec (acs and wfc3/uvis); 0.45 arcsec (wfc3/ir)
+magauto [phot.mag]             - estimated total magnitude using source extractor algorithm
+propid [obs.param]             - hst proposal number
+ci [phot.mag;arith.diff]       - normalized (by detector and filter) mean value of concentration index defined as difference between magnitude in small and large apertures
+kronradius [phys.size.radius;stat.mean] - mean value of the kron radius from source extractor
+flags [meta.code.status]       - bit encoded flag: bit 0 (value 0) = point source; (value 1) = extended; bits 1 or 2 (values 2 or 4) = saturated
+</pre></div>
+</div>
+</div>
+</div>
+<p>The PyVO method to get the columns will automatically fetch all the meta-data about those columns.  It’s up to the service provider to set them correctly, of course, but in this case, we see that the column named “matchra” is identified with the UCD “pos.eq.ra”.</p>
+<p>So if we did not know the exact name used in HSCv3 for the RA, we could do something like this looking for the string “ra”:</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ra_name</span><span class="o">=</span><span class="p">[</span><span class="n">c</span><span class="o">.</span><span class="n">name</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">columns</span> <span class="k">if</span> <span class="s1">&#39;RA&#39;</span> <span class="ow">in</span> <span class="n">c</span><span class="o">.</span><span class="n">name</span> <span class="ow">or</span> <span class="s2">&quot;ascension&quot;</span> <span class="ow">in</span> <span class="n">c</span><span class="o">.</span><span class="n">name</span><span class="o">.</span><span class="n">lower</span><span class="p">()]</span>
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ra_name</span><span class="o">=</span><span class="p">[</span><span class="n">c</span><span class="o">.</span><span class="n">name</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">columns</span> <span class="k">if</span> <span class="s1">&#39;ra&#39;</span> <span class="ow">in</span> <span class="n">c</span><span class="o">.</span><span class="n">name</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">or</span> <span class="s2">&quot;ascension&quot;</span> <span class="ow">in</span> <span class="n">c</span><span class="o">.</span><span class="n">name</span><span class="o">.</span><span class="n">lower</span><span class="p">()]</span>
 <span class="nb">print</span><span class="p">(</span><span class="n">ra_name</span><span class="p">)</span>
 </pre></div>
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;MatchRA&#39;, &#39;SourceRA&#39;]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;matchra&#39;, &#39;sourcera&#39;, &#39;kronradius&#39;]
 </pre></div>
 </div>
 </div>
 </div>
-<p>But a more general approach is to check for the correct UCD.  It also has the further advantage that it can be used to label columns that should be used for certain purposes when there are multiple possibilities.  For instance, this table has MatchRA and SourceRA.  Let’s check the UCD:</p>
+<p>Since that guessing doesn’t give a unique answer, the more general and reliable approach is to check for the correct UCD.  It also has the further advantage that it can be used to label columns that should be used for certain purposes when there are multiple possibilities.  For instance, this table has MatchRA and SourceRA.  Let’s check the UCD:</p>
 <p>(Note that the UCD is not required.  If it isn’t there, you get a None type, so code the check carefully)</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -676,7 +642,7 @@ <h1>UCDs (Unified Content Descriptors)<a class="headerlink" href="#ucds-unified-
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(&#39;MatchRA&#39;, &#39;MatchDec&#39;)
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(&#39;matchra&#39;, &#39;matchdec&#39;)
 </pre></div>
 </div>
 </div>
@@ -750,22 +716,22 @@ <h1>UCDs (Unified Content Descriptors)<a class="headerlink" href="#ucds-unified-
 <p>Lastly, if you have a table of results from a TAP query (and if that service includes the UCDs), then you can get data based on UCDs with the getbyucd() method, which simply gets the corresponding element using fieldname_with_ucd():</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">results</span><span class="o">=</span><span class="n">hsc</span><span class="o">.</span><span class="n">service</span><span class="o">.</span><span class="n">search</span><span class="p">(</span><span class="s2">&quot;select top 10 * from dbo.DetailedCatalog&quot;</span><span class="p">)</span>
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">results</span><span class="o">=</span><span class="n">hsc</span><span class="o">.</span><span class="n">service</span><span class="o">.</span><span class="n">search</span><span class="p">(</span><span class="s2">&quot;select top 10 * from dbo.detailedcatalog&quot;</span><span class="p">)</span>
 <span class="p">[</span><span class="n">r</span><span class="o">.</span><span class="n">getbyucd</span><span class="p">(</span><span class="s1">&#39;phot.mag&#39;</span><span class="p">)</span> <span class="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="n">results</span><span class="p">]</span>
 </pre></div>
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[20.276399612426758,
- 22.451000213623047,
- 25.335100173950195,
- 22.437999725341797,
- 24.32939910888672,
- 21.936500549316406,
- 25.478700637817383,
- 21.499900817871094,
- 19.24180030822754,
- 24.578399658203125]
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[np.float64(20.276399612426758),
+ np.float64(22.451000213623047),
+ np.float64(25.335100173950195),
+ np.float64(22.437999725341797),
+ np.float64(24.32939910888672),
+ np.float64(21.936500549316406),
+ np.float64(25.478700637817383),
+ np.float64(21.499900817871094),
+ np.float64(19.24180030822754),
+ np.float64(24.578399658203125)]
 </pre></div>
 </div>
 </div>
@@ -779,11 +745,10 @@ <h1>UCDs (Unified Content Descriptors)<a class="headerlink" href="#ucds-unified-
 
               
               
-                <footer class="bd-footer-article">
+              
+              
+                <footer class="prev-next-footer d-print-none">
                   
-<div class="footer-article-items footer-article__inner">
-  
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@@ -803,10 +768,7 @@ <h1>UCDs (Unified Content Descriptors)<a class="headerlink" href="#ucds-unified-
       </div>
       <i class="fa-solid fa-angle-right"></i>
     </a>
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@@ -829,6 +791,7 @@ <h1>UCDs (Unified Content Descriptors)<a class="headerlink" href="#ucds-unified-
   
   <div class="footer-item">
     
+
   <p class="copyright">
     
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@@ -855,8 +818,8 @@ <h1>UCDs (Unified Content Descriptors)<a class="headerlink" href="#ucds-unified-
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diff --git a/content/reference_notebooks/votables.html b/content/reference_notebooks/votables.html
index e515e43..1264b2e 100644
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+++ b/content/reference_notebooks/votables.html
@@ -1,13 +1,12 @@
 
-
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+<html lang="en" data-content_root="../../" >
 
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-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
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-    document.documentElement.dataset.theme = localStorage.getItem("theme") || "light";
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+  <script src="../../_static/vendor/fontawesome/6.5.2/js/all.min.js?digest=dfe6caa3a7d634c4db9b"></script>
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+    <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
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-  <meta name="docsearch:language" content="None"/>
+  <meta name="docsearch:language" content="en"/>
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@@ -59,19 +58,23 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <div id="pst-skip-link" class="skip-link d-print-none"><a href="#main-content">Skip to main content</a></div>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>Back to top</button>
+
   
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+  <label class="overlay overlay-secondary" for="pst-secondary-sidebar-checkbox"></label>
   
   <div class="search-button__wrapper">
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@@ -93,13 +96,21 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
+
+  <div class="pst-async-banner-revealer d-none">
+  <aside id="bd-header-version-warning" class="d-none d-print-none" aria-label="Version warning"></aside>
+</div>
+
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar d-print-none">
+    </header>
   
+
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     <div class="bd-container__inner bd-page-width">
       
+      
+      
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@@ -113,6 +124,9 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
+  
+    
   
 
 <a class="navbar-brand logo" href="../../index.html">
@@ -121,10 +135,11 @@
   
   
   
+  
     <p class="title logo__title">NASA-NAVO Workshops Notebooks</p>
   
 </a></div>
-        <div class="sidebar-primary-item"><ul class="navbar-icon-links navbar-nav"
+        <div class="sidebar-primary-item"><ul class="navbar-icon-links"
     aria-label="Icon Links">
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@@ -135,11 +150,22 @@
           
           
           
-          <a href="https://github.com/NASA-NAVO/navo-workshop" title="GitHub" class="nav-link" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><span><i class="fa-brands fa-square-github"></i></span>
-            <label class="sr-only">GitHub</label></a>
+          <a href="https://github.com/NASA-NAVO/navo-workshop" title="GitHub" class="nav-link pst-navbar-icon" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><i class="fa-brands fa-square-github fa-lg" aria-hidden="true"></i>
+            <span class="sr-only">GitHub</span></a>
         </li>
 </ul></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
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+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         
         <ul class="nav bd-sidenav bd-sidenav__home-link">
@@ -185,7 +211,7 @@
 
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-      <main id="main-content" class="bd-main">
+      <main id="main-content" class="bd-main" role="main">
         
         
 
@@ -194,14 +220,14 @@
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             <div class="bd-article-container">
               
-              <div class="bd-header-article">
+              <div class="bd-header-article d-print-none">
 <div class="header-article-items header-article__inner">
   
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@@ -226,14 +252,14 @@
       
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    class="btn btn-sm dropdown-item"
-   title="Launch onBinder"
+   title="Launch on Binder"
    data-bs-placement="left" data-bs-toggle="tooltip"
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+    <img alt="Binder logo" src="../../_static/images/logo_binder.svg">
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@@ -244,14 +270,14 @@
       
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    class="btn btn-sm dropdown-item"
-   title="Launch onColab"
+   title="Launch on Colab"
    data-bs-placement="left" data-bs-toggle="tooltip"
 >
   
 
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-    <img src="../../_static/images/logo_colab.png">
+    <img alt="Colab logo" src="../../_static/images/logo_colab.png">
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 <span class="btn__text-container">Colab</span>
 </a>
@@ -406,26 +432,28 @@
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+
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@@ -458,12 +486,12 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section id="vo-tables">
-<h1>VO Tables<a class="headerlink" href="#vo-tables" title="Permalink to this headline">#</a></h1>
+<h1>VO Tables<a class="headerlink" href="#vo-tables" title="Link to this heading">#</a></h1>
 <section id="create-a-vo-table-from-an-astropy-table">
-<h2>Create a VO Table from an Astropy Table<a class="headerlink" href="#create-a-vo-table-from-an-astropy-table" title="Permalink to this headline">#</a></h2>
+<h2>Create a VO Table from an Astropy Table<a class="headerlink" href="#create-a-vo-table-from-an-astropy-table" title="Link to this heading">#</a></h2>
 <p>There are several ways of doing this, and there are a few object layers here, which can be confusing:</p>
 <ul class="simple">
 <li><p>Standard <a class="reference external" href="https://docs.astropy.org/en/stable/table/">astropy Table</a> objects</p></li>
@@ -484,7 +512,7 @@ <h2>Create a VO Table from an Astropy Table<a class="headerlink" href="#create-a
 </div>
 </section>
 <section id="create-a-table-with-only-two-columns-starting-from-an-astropy-table">
-<h2>Create a table with only two columns starting from an astropy Table<a class="headerlink" href="#create-a-table-with-only-two-columns-starting-from-an-astropy-table" title="Permalink to this headline">#</a></h2>
+<h2>Create a table with only two columns starting from an astropy Table<a class="headerlink" href="#create-a-table-with-only-two-columns-starting-from-an-astropy-table" title="Link to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">myaptable</span><span class="o">=</span><span class="n">aptable</span><span class="o">.</span><span class="n">Table</span><span class="p">(</span>
@@ -550,7 +578,7 @@ <h2>Create a table with only two columns starting from an astropy Table<a class=
 </div>
 </section>
 <section id="then-convert-this-to-a-votablefile-object-which-contains-a-nested-set-of-resources-and-tables-in-this-case-only-one-of-each">
-<h2>Then convert this to a VOTableFile object which contains a nested set of <em>resources</em> and <em>tables</em> (in this case, only one of each)<a class="headerlink" href="#then-convert-this-to-a-votablefile-object-which-contains-a-nested-set-of-resources-and-tables-in-this-case-only-one-of-each" title="Permalink to this headline">#</a></h2>
+<h2>Then convert this to a VOTableFile object which contains a nested set of <em>resources</em> and <em>tables</em> (in this case, only one of each)<a class="headerlink" href="#then-convert-this-to-a-votablefile-object-which-contains-a-nested-set-of-resources-and-tables-in-this-case-only-one-of-each" title="Link to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">myvotablefile</span> <span class="o">=</span> <span class="n">apvot</span><span class="o">.</span><span class="n">from_table</span><span class="p">(</span><span class="n">myaptable</span><span class="p">)</span>
@@ -602,11 +630,10 @@ <h2>Then convert this to a VOTableFile object which contains a nested set of <em
 
               
               
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@@ -626,10 +653,7 @@ <h2>Then convert this to a VOTableFile object which contains a nested set of <em
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@@ -638,6 +662,7 @@ <h2>Then convert this to a VOTableFile object which contains a nested set of <em
               
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+
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@@ -668,6 +693,7 @@ <h2>Then convert this to a VOTableFile object which contains a nested set of <em
   
   <div class="footer-item">
     
+
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@@ -694,8 +720,8 @@ <h2>Then convert this to a VOTableFile object which contains a nested set of <em
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@@ -470,15 +498,15 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section id="candidate-list-exercise">
-<h1>Candidate List Exercise<a class="headerlink" href="#candidate-list-exercise" title="Permalink to this headline">#</a></h1>
+<h1>Candidate List Exercise<a class="headerlink" href="#candidate-list-exercise" title="Link to this heading">#</a></h1>
 <p>Ogle et al. (2016) mined the NASA/IPAC Extragalactic Database (NED) to identify a new type of galaxy: Superluminous Spiral Galaxies.</p>
 <p>Here’s the paper: <a class="reference external" href="https://ui.adsabs.harvard.edu/abs/2016ApJ...817..109O/abstract">https://ui.adsabs.harvard.edu/abs/2016ApJ…817..109O/abstract</a></p>
 <p>Table 1 lists the positions of these Super Spirals. Based on those positions, let’s create multiwavelength cutouts for each super spiral to see what is unique about this new class of objects.</p>
 <section id="import-the-python-modules-we-ll-be-using">
-<h2>1. Import the Python modules we’ll be using<a class="headerlink" href="#import-the-python-modules-we-ll-be-using" title="Permalink to this headline">#</a></h2>
+<h2>1. Import the Python modules we’ll be using<a class="headerlink" href="#import-the-python-modules-we-ll-be-using" title="Link to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Suppress unimportant warnings.</span>
@@ -515,7 +543,7 @@ <h2>1. Import the Python modules we’ll be using<a class="headerlink" href="#im
 </div>
 </section>
 <section id="search-ned-for-objects-in-this-paper">
-<h2>2. Search NED for objects in this paper<a class="headerlink" href="#search-ned-for-objects-in-this-paper" title="Permalink to this headline">#</a></h2>
+<h2>2. Search NED for objects in this paper<a class="headerlink" href="#search-ned-for-objects-in-this-paper" title="Link to this heading">#</a></h2>
 <p>Insert a Code Cell below by clicking on the “Insert” Menu and choosing “Insert Cell Below”. Then consult QuickReference.md to figure out how to use astroquery to search NED for all objects in a paper, based on the refcode of the paper. Inspect the resulting astropy table.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -527,11 +555,11 @@ <h2>2. Search NED for objects in this paper<a class="headerlink" href="#search-n
 </div>
 </section>
 <section id="filter-the-ned-results">
-<h2>3. Filter the NED results<a class="headerlink" href="#filter-the-ned-results" title="Permalink to this headline">#</a></h2>
+<h2>3. Filter the NED results<a class="headerlink" href="#filter-the-ned-results" title="Link to this heading">#</a></h2>
 <p>The results from NED will include galaxies, but also other kinds of objects (e.g. galaxy clusters, galaxy groups). Print the ‘Type’ column to see the full range of classifications and filter the results so that we only keep the galaxies in the list.</p>
 </section>
 <section id="search-the-navo-registry-for-image-resources">
-<h2>4. Search the NAVO Registry for image resources<a class="headerlink" href="#search-the-navo-registry-for-image-resources" title="Permalink to this headline">#</a></h2>
+<h2>4. Search the NAVO Registry for image resources<a class="headerlink" href="#search-the-navo-registry-for-image-resources" title="Link to this heading">#</a></h2>
 <p>The paper selected super spirals using WISE, SDSS, and GALEX images. Search the NAVO registry for all image resources, using the ‘service_type’ search parameter. How many image resources are currently available?</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -543,7 +571,7 @@ <h2>4. Search the NAVO Registry for image resources<a class="headerlink" href="#
 </div>
 </section>
 <section id="search-the-navo-registry-for-image-resources-that-will-allow-you-to-search-for-allwise-images">
-<h2>5. Search the NAVO Registry for image resources that will allow you to search for AllWISE images<a class="headerlink" href="#search-the-navo-registry-for-image-resources-that-will-allow-you-to-search-for-allwise-images" title="Permalink to this headline">#</a></h2>
+<h2>5. Search the NAVO Registry for image resources that will allow you to search for AllWISE images<a class="headerlink" href="#search-the-navo-registry-for-image-resources-that-will-allow-you-to-search-for-allwise-images" title="Link to this heading">#</a></h2>
 <p>There are hundreds of image resources…too many to quickly read through. Try adding the ‘keywords’ search parameter to your registry search, and find the image resource you would need to search the AllWISE images. Remember from the Known Issues that ‘keywords’ must be a list.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -555,10 +583,10 @@ <h2>5. Search the NAVO Registry for image resources that will allow you to searc
 </div>
 </section>
 <section id="choose-the-allwise-image-service-that-you-are-interested-in">
-<h2>6. Choose the AllWISE image service that you are interested in<a class="headerlink" href="#choose-the-allwise-image-service-that-you-are-interested-in" title="Permalink to this headline">#</a></h2>
+<h2>6. Choose the AllWISE image service that you are interested in<a class="headerlink" href="#choose-the-allwise-image-service-that-you-are-interested-in" title="Link to this heading">#</a></h2>
 </section>
 <section id="choose-one-of-the-galaxies-in-the-ned-list">
-<h2>7. Choose one of the galaxies in the NED list<a class="headerlink" href="#choose-one-of-the-galaxies-in-the-ned-list" title="Permalink to this headline">#</a></h2>
+<h2>7. Choose one of the galaxies in the NED list<a class="headerlink" href="#choose-one-of-the-galaxies-in-the-ned-list" title="Link to this heading">#</a></h2>
 <p>What is the position of this galaxy?</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -570,7 +598,7 @@ <h2>7. Choose one of the galaxies in the NED list<a class="headerlink" href="#ch
 </div>
 </section>
 <section id="search-for-a-list-of-allwise-images-that-cover-this-galaxy">
-<h2>8. Search for a list of AllWISE images that cover this galaxy<a class="headerlink" href="#search-for-a-list-of-allwise-images-that-cover-this-galaxy" title="Permalink to this headline">#</a></h2>
+<h2>8. Search for a list of AllWISE images that cover this galaxy<a class="headerlink" href="#search-for-a-list-of-allwise-images-that-cover-this-galaxy" title="Link to this heading">#</a></h2>
 <p>How many images are returned? Which are you most interested in?</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -582,10 +610,10 @@ <h2>8. Search for a list of AllWISE images that cover this galaxy<a class="heade
 </div>
 </section>
 <section id="use-the-to-table-method-to-view-the-results-as-an-astropy-table">
-<h2>9. Use the .to_table() method to view the results as an Astropy table<a class="headerlink" href="#use-the-to-table-method-to-view-the-results-as-an-astropy-table" title="Permalink to this headline">#</a></h2>
+<h2>9. Use the .to_table() method to view the results as an Astropy table<a class="headerlink" href="#use-the-to-table-method-to-view-the-results-as-an-astropy-table" title="Link to this heading">#</a></h2>
 </section>
 <section id="from-the-result-in-8-select-the-first-record-for-an-image-taken-in-wise-band-w1-3-6-micron">
-<h2>10. From the result in 8., select the first record for an image taken in WISE band W1 (3.6 micron)<a class="headerlink" href="#from-the-result-in-8-select-the-first-record-for-an-image-taken-in-wise-band-w1-3-6-micron" title="Permalink to this headline">#</a></h2>
+<h2>10. From the result in 8., select the first record for an image taken in WISE band W1 (3.6 micron)<a class="headerlink" href="#from-the-result-in-8-select-the-first-record-for-an-image-taken-in-wise-band-w1-3-6-micron" title="Link to this heading">#</a></h2>
 <p>Hints:</p>
 <ul class="simple">
 <li><p>Loop over records and test on the <code class="docutils literal notranslate"><span class="pre">.bandpass_id</span></code> attribute of each record</p></li>
@@ -593,7 +621,7 @@ <h2>10. From the result in 8., select the first record for an image taken in WIS
 </ul>
 </section>
 <section id="visualize-this-allwise-image">
-<h2>11. Visualize this AllWISE image<a class="headerlink" href="#visualize-this-allwise-image" title="Permalink to this headline">#</a></h2>
+<h2>11. Visualize this AllWISE image<a class="headerlink" href="#visualize-this-allwise-image" title="Link to this heading">#</a></h2>
 <p>Hint: Locate the galaxy in the image by overplotting a ring centered on the galaxy on the image</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -607,7 +635,7 @@ <h2>11. Visualize this AllWISE image<a class="headerlink" href="#visualize-this-
 </div>
 </section>
 <section id="plot-a-cutout-of-the-allwise-image-centered-on-your-position">
-<h2>12. Plot a cutout of the AllWISE image, centered on your position<a class="headerlink" href="#plot-a-cutout-of-the-allwise-image-centered-on-your-position" title="Permalink to this headline">#</a></h2>
+<h2>12. Plot a cutout of the AllWISE image, centered on your position<a class="headerlink" href="#plot-a-cutout-of-the-allwise-image-centered-on-your-position" title="Link to this heading">#</a></h2>
 <p>Try a 60 arcsecond cutout.</p>
 <div class="cell docutils container">
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@@ -618,7 +646,7 @@ <h2>12. Plot a cutout of the AllWISE image, centered on your position<a class="h
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-<h2>13. Try visualizing a cutout of a GALEX image that covers your position<a class="headerlink" href="#try-visualizing-a-cutout-of-a-galex-image-that-covers-your-position" title="Permalink to this headline">#</a></h2>
+<h2>13. Try visualizing a cutout of a GALEX image that covers your position<a class="headerlink" href="#try-visualizing-a-cutout-of-a-galex-image-that-covers-your-position" title="Link to this heading">#</a></h2>
 <p>Repeat steps 5, 6, 8 through 12 for GALEX.</p>
 <div class="cell tag_output_scroll docutils container">
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@@ -662,7 +690,7 @@ <h2>13. Try visualizing a cutout of a GALEX image that covers your position<a cl
 </div>
 </section>
 <section id="try-visualizing-a-cutout-of-an-sdss-image-that-covers-your-position">
-<h2>14. Try visualizing a cutout of an SDSS image that covers your position<a class="headerlink" href="#try-visualizing-a-cutout-of-an-sdss-image-that-covers-your-position" title="Permalink to this headline">#</a></h2>
+<h2>14. Try visualizing a cutout of an SDSS image that covers your position<a class="headerlink" href="#try-visualizing-a-cutout-of-an-sdss-image-that-covers-your-position" title="Link to this heading">#</a></h2>
 <p>Hints:</p>
 <ul class="simple">
 <li><p>Search the registry using `keywords=[‘sloan’]</p></li>
@@ -709,7 +737,7 @@ <h2>14. Try visualizing a cutout of an SDSS image that covers your position<a cl
 </div>
 </section>
 <section id="try-looping-over-all-positions-and-plotting-multiwavelength-cutouts">
-<h2>15. Try looping over all positions and plotting multiwavelength cutouts<a class="headerlink" href="#try-looping-over-all-positions-and-plotting-multiwavelength-cutouts" title="Permalink to this headline">#</a></h2>
+<h2>15. Try looping over all positions and plotting multiwavelength cutouts<a class="headerlink" href="#try-looping-over-all-positions-and-plotting-multiwavelength-cutouts" title="Link to this heading">#</a></h2>
 <p>Hint: Gather the data in ALLWISE, GALEX, and SDSS for each galaxy and plot as seperate cutouts centered on the galaxy position</p>
 <p>Warning: this takes a long time to run!  You can limit it to the first three galaxies only, for example, for testing.</p>
 </section>
@@ -721,11 +749,10 @@ <h2>15. Try looping over all positions and plotting multiwavelength cutouts<a cl
 
               
               
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diff --git a/content/use_case_notebooks/candidate_list_solution.html b/content/use_case_notebooks/candidate_list_solution.html
index 2d39aa8..53e1204 100644
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@@ -470,14 +498,14 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section id="candidate-list-solution">
-<h1>Candidate List Solution<a class="headerlink" href="#candidate-list-solution" title="Permalink to this headline">#</a></h1>
+<h1>Candidate List Solution<a class="headerlink" href="#candidate-list-solution" title="Link to this heading">#</a></h1>
 <p><a class="reference external" href="https://ui.adsabs.harvard.edu/abs/2016ApJ...817..109O/abstract">Ogle et al. (2016)</a> mined the NASA/IPAC Extragalactic Database (NED) to identify a new type of galaxy: Superluminous Spiral Galaxies.</p>
 <p>Table 1 lists the positions of these Super Spirals. Based on those positions, let’s create multiwavelength cutouts for each super spiral to see what is unique about this new class of objects.</p>
 <section id="import-the-python-modules-we-ll-be-using">
-<h2>1. Import the Python modules we’ll be using<a class="headerlink" href="#import-the-python-modules-we-ll-be-using" title="Permalink to this headline">#</a></h2>
+<h2>1. Import the Python modules we’ll be using<a class="headerlink" href="#import-the-python-modules-we-ll-be-using" title="Link to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Suppress unimportant warnings.</span>
@@ -514,7 +542,7 @@ <h2>1. Import the Python modules we’ll be using<a class="headerlink" href="#im
 </div>
 </section>
 <section id="search-ned-for-objects-in-this-paper">
-<h2>2. Search NED for objects in this paper<a class="headerlink" href="#search-ned-for-objects-in-this-paper" title="Permalink to this headline">#</a></h2>
+<h2>2. Search NED for objects in this paper<a class="headerlink" href="#search-ned-for-objects-in-this-paper" title="Link to this heading">#</a></h2>
 <p>Insert a Code Cell below by clicking on the “Insert” Menu and choosing “Insert Cell Below”. Then consult QuickReference.md to figure out how to use astroquery to search NED for all objects in a paper, based on the refcode of the paper. Inspect the resulting astropy table.</p>
 <div class="cell tag_output_scroll docutils container">
 <div class="cell_input docutils container">
@@ -524,8 +552,15 @@ <h2>2. Search NED for objects in this paper<a class="headerlink" href="#search-n
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING: AstropyDeprecationWarning: show_in_notebook() is deprecated as of 6.1 and to create
+         interactive tables it is recommended to use dedicated tools like:
+         - https://github.com/bloomberg/ipydatagrid
+         - https://docs.bokeh.org/en/latest/docs/user_guide/interaction/widgets.html#datatable
+         - https://dash.plotly.com/datatable [warnings]
+</pre></div>
+</div>
 <div class="output text_html"><i>Table length=62</i>
-<table id="table140106228974544-467119" class="table-striped table-bordered table-condensed">
+<table id="table140388599267728-817736" class="table-striped table-bordered table-condensed">
 <thead><tr><th>idx</th><th>No.</th><th>Object Name</th><th>RA</th><th>DEC</th><th>Type</th><th>Velocity</th><th>Redshift</th><th>Redshift Flag</th><th>Magnitude and Filter</th><th>Separation</th><th>References</th><th>Notes</th><th>Photometry Points</th><th>Positions</th><th>Redshift Points</th><th>Diameter Points</th><th>Associations</th></tr></thead>
 <thead><tr><th></th><th></th><th></th><th>degrees</th><th>degrees</th><th></th><th>km / s</th><th></th><th></th><th></th><th>arcmin</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>
 <tr><td>0</td><td>1</td><td>WISEA J001550.14-100242.3</td><td>3.95892</td><td>-10.04511</td><td>G</td><td>52766.0</td><td>0.17601</td><td>SLS</td><td>17.5g</td><td>--</td><td>15</td><td>0</td><td>63</td><td>8</td><td>7</td><td>10</td><td>0</td></tr>
@@ -539,7 +574,7 @@ <h2>2. Search NED for objects in this paper<a class="headerlink" href="#search-n
 <tr><td>8</td><td>9</td><td>2MASX J09094480+2226078</td><td>137.4367</td><td>22.43538</td><td>G</td><td>85557.0</td><td>0.285388</td><td>SLS</td><td>19.0g</td><td>--</td><td>9</td><td>0</td><td>30</td><td>5</td><td>6</td><td>6</td><td>0</td></tr>
 <tr><td>9</td><td>10</td><td>2MASX J09260805+2405242</td><td>141.53357</td><td>24.09004</td><td>G</td><td>66672.0</td><td>0.222393</td><td>SLS</td><td>17.8g</td><td>--</td><td>16</td><td>0</td><td>32</td><td>7</td><td>9</td><td>6</td><td>0</td></tr>
 <tr><td>10</td><td>11</td><td>WHL J092608.1+240524</td><td>141.53357</td><td>24.09004</td><td>GClstr</td><td>66284.0</td><td>0.2211</td><td>SUN</td><td></td><td>--</td><td>8</td><td>0</td><td>0</td><td>6</td><td>7</td><td>0</td><td>0</td></tr>
-<tr><td>11</td><td>12</td><td>WISEA J093347.77+211436.7</td><td>143.44901</td><td>21.24346</td><td>G</td><td>51620.0</td><td>0.172186</td><td>SLS</td><td>16.9g</td><td>--</td><td>48</td><td>0</td><td>51</td><td>20</td><td>15</td><td>6</td><td>1</td></tr>
+<tr><td>11</td><td>12</td><td>WISEA J093347.77+211436.7</td><td>143.44901</td><td>21.24346</td><td>G</td><td>51620.0</td><td>0.172186</td><td>SLS</td><td>16.9g</td><td>--</td><td>49</td><td>0</td><td>51</td><td>21</td><td>16</td><td>6</td><td>1</td></tr>
 <tr><td>12</td><td>13</td><td>WISEA J093622.14+390628.9</td><td>144.09222</td><td>39.10801</td><td>G</td><td>84821.0</td><td>0.282931</td><td>SLS</td><td>18.5g</td><td>--</td><td>6</td><td>0</td><td>66</td><td>7</td><td>3</td><td>10</td><td>0</td></tr>
 <tr><td>13</td><td>14</td><td>MSPM 05544</td><td>146.2235</td><td>22.8851</td><td>GClstr</td><td>26738.0</td><td>0.08919</td><td>MUN</td><td></td><td>--</td><td>3</td><td>0</td><td>0</td><td>1</td><td>1</td><td>0</td><td>0</td></tr>
 <tr><td>14</td><td>15</td><td>CGCG 122-067</td><td>146.22351</td><td>22.88512</td><td>G</td><td>26686.0</td><td>0.089016</td><td>SLS</td><td>15.3g</td><td>--</td><td>34</td><td>0</td><td>49</td><td>13</td><td>11</td><td>8</td><td>0</td></tr>
@@ -569,7 +604,7 @@ <h2>2. Search NED for objects in this paper<a class="headerlink" href="#search-n
 <tr><td>38</td><td>39</td><td>WISEA J121644.33+122450.5</td><td>184.18477</td><td>12.41404</td><td>G</td><td>77030.0</td><td>0.256944</td><td>SLS</td><td>18.3g</td><td>--</td><td>5</td><td>0</td><td>55</td><td>7</td><td>3</td><td>8</td><td>0</td></tr>
 <tr><td>39</td><td>40</td><td>WISEA J122100.50+482729.1</td><td>185.25209</td><td>48.45807</td><td>G</td><td>89836.0</td><td>0.299659</td><td>SLS</td><td>18.7g</td><td>--</td><td>8</td><td>0</td><td>61</td><td>8</td><td>3</td><td>8</td><td>0</td></tr>
 <tr><td>40</td><td>41</td><td>WISEA J123215.19+102119.1</td><td>188.06311</td><td>10.35535</td><td>G</td><td>49729.0</td><td>0.165877</td><td>SLS</td><td>17.2g</td><td>--</td><td>19</td><td>0</td><td>66</td><td>9</td><td>6</td><td>10</td><td>0</td></tr>
-<tr><td>41</td><td>42</td><td>WISEA J123431.08+515629.7</td><td>188.62952</td><td>51.94146</td><td>G</td><td>88714.0</td><td>0.295917</td><td>SLS</td><td>18.1g</td><td>--</td><td>31</td><td>0</td><td>64</td><td>11</td><td>12</td><td>10</td><td>0</td></tr>
+<tr><td>41</td><td>42</td><td>WISEA J123431.08+515629.7</td><td>188.62952</td><td>51.94146</td><td>G</td><td>88714.0</td><td>0.295917</td><td>SLS</td><td>18.1g</td><td>--</td><td>32</td><td>0</td><td>64</td><td>12</td><td>13</td><td>10</td><td>0</td></tr>
 <tr><td>42</td><td>43</td><td>WISEA J123746.63+481227.5</td><td>189.44448</td><td>48.20767</td><td>G</td><td>81679.0</td><td>0.272452</td><td>SLS</td><td>18.2g</td><td>--</td><td>8</td><td>0</td><td>65</td><td>8</td><td>4</td><td>10</td><td>0</td></tr>
 <tr><td>43</td><td>44</td><td>WISEA J131039.32+223502.8</td><td>197.66385</td><td>22.58407</td><td>G</td><td>69320.0</td><td>0.231225</td><td>SLS</td><td>18.1g</td><td>--</td><td>12</td><td>0</td><td>48</td><td>8</td><td>5</td><td>6</td><td>1</td></tr>
 <tr><td>44</td><td>45</td><td>WISEA J132757.52+334529.3</td><td>201.98969</td><td>33.75806</td><td>G</td><td>74623.0</td><td>0.248916</td><td>SLS</td><td>17.7g</td><td>--</td><td>16</td><td>0</td><td>88</td><td>12</td><td>4</td><td>10</td><td>0</td></tr>
@@ -583,7 +618,7 @@ <h2>2. Search NED for objects in this paper<a class="headerlink" href="#search-n
 <tr><td>52</td><td>53</td><td>WISEA J143447.88+020228.8</td><td>218.69942</td><td>2.04129</td><td>G</td><td>83914.0</td><td>0.279907</td><td>SLS</td><td>18.6g</td><td>--</td><td>10</td><td>0</td><td>62</td><td>9</td><td>5</td><td>8</td><td>0</td></tr>
 <tr><td>53</td><td>54</td><td>WISEA J144728.35+590831.9</td><td>221.86807</td><td>59.14209</td><td>G</td><td>73602.0</td><td>0.245509</td><td>SLS</td><td>18.3g</td><td>--</td><td>15</td><td>0</td><td>70</td><td>11</td><td>8</td><td>10</td><td>0</td></tr>
 <tr><td>54</td><td>55</td><td>WISEA J153619.01+452247.7</td><td>234.07909</td><td>45.37968</td><td>G</td><td>70804.0</td><td>0.236177</td><td>SLS</td><td>18.1g</td><td>--</td><td>9</td><td>0</td><td>57</td><td>7</td><td>3</td><td>8</td><td>0</td></tr>
-<tr><td>55</td><td>56</td><td>WISEA J154307.78+193751.7</td><td>235.78241</td><td>19.63104</td><td>G</td><td>68774.0</td><td>0.229405</td><td>SLS</td><td>17.0g</td><td>--</td><td>43</td><td>1</td><td>50</td><td>21</td><td>18</td><td>6</td><td>0</td></tr>
+<tr><td>55</td><td>56</td><td>WISEA J154307.78+193751.7</td><td>235.78241</td><td>19.63104</td><td>G</td><td>68774.0</td><td>0.229405</td><td>SLS</td><td>17.0g</td><td>--</td><td>44</td><td>1</td><td>50</td><td>22</td><td>19</td><td>6</td><td>0</td></tr>
 <tr><td>56</td><td>57</td><td>WISEA J154950.90+234444.0</td><td>237.46216</td><td>23.7456</td><td>G</td><td>78570.0</td><td>0.262082</td><td>SLS</td><td>18.5g</td><td>--</td><td>7</td><td>0</td><td>31</td><td>5</td><td>4</td><td>4</td><td>0</td></tr>
 <tr><td>57</td><td>58</td><td>GMBCG J240.41924+27.30444</td><td>240.41924</td><td>27.30444</td><td>GClstr</td><td>57860.0</td><td>0.193</td><td>PUN</td><td></td><td>--</td><td>4</td><td>0</td><td>0</td><td>2</td><td>2</td><td>0</td><td>0</td></tr>
 <tr><td>58</td><td>59</td><td>2MASX J16014061+2718161</td><td>240.41924</td><td>27.30443</td><td>G</td><td>49285.0</td><td>0.164398</td><td>SLS</td><td>16.7g</td><td>--</td><td>22</td><td>0</td><td>54</td><td>7</td><td>7</td><td>10</td><td>1</td></tr>
@@ -613,14 +648,14 @@ <h2>2. Search NED for objects in this paper<a class="headerlink" href="#search-n
     datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'
 }});
 require(["datatables"], function(){
-    console.log("$('#table140106228974544-467119').dataTable()");
+    console.log("$('#table140388599267728-817736').dataTable()");
     
 jQuery.extend( jQuery.fn.dataTableExt.oSort, {
     "optionalnum-asc": astropy_sort_num,
     "optionalnum-desc": function (a,b) { return -astropy_sort_num(a, b); }
 });
 
-    $('#table140106228974544-467119').dataTable({
+    $('#table140388599267728-817736').dataTable({
         order: [],
         pageLength: 50,
         lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],
@@ -633,7 +668,7 @@ <h2>2. Search NED for objects in this paper<a class="headerlink" href="#search-n
 </div>
 </section>
 <section id="filter-the-ned-results">
-<h2>3. Filter the NED results<a class="headerlink" href="#filter-the-ned-results" title="Permalink to this headline">#</a></h2>
+<h2>3. Filter the NED results<a class="headerlink" href="#filter-the-ned-results" title="Link to this heading">#</a></h2>
 <p>The results from NED will include galaxies, but also other kinds of objects (e.g. galaxy clusters, galaxy groups). Print the ‘Type’ column to see the full range of classifications and filter the results so that we only keep the galaxies in the list.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -663,7 +698,6 @@ <h2>3. Filter the NED results<a class="headerlink" href="#filter-the-ned-results
 <tr><td>G</td></tr>
 <tr><td>G</td></tr>
 <tr><td>G</td></tr>
-<tr><td>G</td></tr>
 <tr><td>GClstr</td></tr>
 <tr><td>G</td></tr>
 <tr><td>G</td></tr>
@@ -681,8 +715,15 @@ <h2>3. Filter the NED results<a class="headerlink" href="#filter-the-ned-results
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING: AstropyDeprecationWarning: show_in_notebook() is deprecated as of 6.1 and to create
+         interactive tables it is recommended to use dedicated tools like:
+         - https://github.com/bloomberg/ipydatagrid
+         - https://docs.bokeh.org/en/latest/docs/user_guide/interaction/widgets.html#datatable
+         - https://dash.plotly.com/datatable [warnings]
+</pre></div>
+</div>
 <div class="output text_html"><i>Table length=53</i>
-<table id="table140106228984240-978082" class="table-striped table-bordered table-condensed">
+<table id="table140387632301920-957499" class="table-striped table-bordered table-condensed">
 <thead><tr><th>idx</th><th>No.</th><th>Object Name</th><th>RA</th><th>DEC</th><th>Type</th><th>Velocity</th><th>Redshift</th><th>Redshift Flag</th><th>Magnitude and Filter</th><th>Separation</th><th>References</th><th>Notes</th><th>Photometry Points</th><th>Positions</th><th>Redshift Points</th><th>Diameter Points</th><th>Associations</th></tr></thead>
 <thead><tr><th></th><th></th><th></th><th>degrees</th><th>degrees</th><th></th><th>km / s</th><th></th><th></th><th></th><th>arcmin</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>
 <tr><td>0</td><td>1</td><td>WISEA J001550.14-100242.3</td><td>3.95892</td><td>-10.04511</td><td>G</td><td>52766.0</td><td>0.17601</td><td>SLS</td><td>17.5g</td><td>--</td><td>15</td><td>0</td><td>63</td><td>8</td><td>7</td><td>10</td><td>0</td></tr>
@@ -694,7 +735,7 @@ <h2>3. Filter the NED results<a class="headerlink" href="#filter-the-ned-results
 <tr><td>6</td><td>7</td><td>2MASX J08542169+0449308</td><td>133.59033</td><td>4.82511</td><td>G</td><td>47005.0</td><td>0.156793</td><td>SLS</td><td>16.7g</td><td>--</td><td>18</td><td>0</td><td>58</td><td>8</td><td>6</td><td>10</td><td>0</td></tr>
 <tr><td>7</td><td>9</td><td>2MASX J09094480+2226078</td><td>137.4367</td><td>22.43538</td><td>G</td><td>85557.0</td><td>0.285388</td><td>SLS</td><td>19.0g</td><td>--</td><td>9</td><td>0</td><td>30</td><td>5</td><td>6</td><td>6</td><td>0</td></tr>
 <tr><td>8</td><td>10</td><td>2MASX J09260805+2405242</td><td>141.53357</td><td>24.09004</td><td>G</td><td>66672.0</td><td>0.222393</td><td>SLS</td><td>17.8g</td><td>--</td><td>16</td><td>0</td><td>32</td><td>7</td><td>9</td><td>6</td><td>0</td></tr>
-<tr><td>9</td><td>12</td><td>WISEA J093347.77+211436.7</td><td>143.44901</td><td>21.24346</td><td>G</td><td>51620.0</td><td>0.172186</td><td>SLS</td><td>16.9g</td><td>--</td><td>48</td><td>0</td><td>51</td><td>20</td><td>15</td><td>6</td><td>1</td></tr>
+<tr><td>9</td><td>12</td><td>WISEA J093347.77+211436.7</td><td>143.44901</td><td>21.24346</td><td>G</td><td>51620.0</td><td>0.172186</td><td>SLS</td><td>16.9g</td><td>--</td><td>49</td><td>0</td><td>51</td><td>21</td><td>16</td><td>6</td><td>1</td></tr>
 <tr><td>10</td><td>13</td><td>WISEA J093622.14+390628.9</td><td>144.09222</td><td>39.10801</td><td>G</td><td>84821.0</td><td>0.282931</td><td>SLS</td><td>18.5g</td><td>--</td><td>6</td><td>0</td><td>66</td><td>7</td><td>3</td><td>10</td><td>0</td></tr>
 <tr><td>11</td><td>15</td><td>CGCG 122-067</td><td>146.22351</td><td>22.88512</td><td>G</td><td>26686.0</td><td>0.089016</td><td>SLS</td><td>15.3g</td><td>--</td><td>34</td><td>0</td><td>49</td><td>13</td><td>11</td><td>8</td><td>0</td></tr>
 <tr><td>12</td><td>16</td><td>WISEA J094700.08+254045.8</td><td>146.75035</td><td>25.67938</td><td>G</td><td>32690.0</td><td>0.109043</td><td>SLS</td><td>15.8g</td><td>--</td><td>22</td><td>0</td><td>46</td><td>8</td><td>7</td><td>6</td><td>0</td></tr>
@@ -720,7 +761,7 @@ <h2>3. Filter the NED results<a class="headerlink" href="#filter-the-ned-results
 <tr><td>32</td><td>39</td><td>WISEA J121644.33+122450.5</td><td>184.18477</td><td>12.41404</td><td>G</td><td>77030.0</td><td>0.256944</td><td>SLS</td><td>18.3g</td><td>--</td><td>5</td><td>0</td><td>55</td><td>7</td><td>3</td><td>8</td><td>0</td></tr>
 <tr><td>33</td><td>40</td><td>WISEA J122100.50+482729.1</td><td>185.25209</td><td>48.45807</td><td>G</td><td>89836.0</td><td>0.299659</td><td>SLS</td><td>18.7g</td><td>--</td><td>8</td><td>0</td><td>61</td><td>8</td><td>3</td><td>8</td><td>0</td></tr>
 <tr><td>34</td><td>41</td><td>WISEA J123215.19+102119.1</td><td>188.06311</td><td>10.35535</td><td>G</td><td>49729.0</td><td>0.165877</td><td>SLS</td><td>17.2g</td><td>--</td><td>19</td><td>0</td><td>66</td><td>9</td><td>6</td><td>10</td><td>0</td></tr>
-<tr><td>35</td><td>42</td><td>WISEA J123431.08+515629.7</td><td>188.62952</td><td>51.94146</td><td>G</td><td>88714.0</td><td>0.295917</td><td>SLS</td><td>18.1g</td><td>--</td><td>31</td><td>0</td><td>64</td><td>11</td><td>12</td><td>10</td><td>0</td></tr>
+<tr><td>35</td><td>42</td><td>WISEA J123431.08+515629.7</td><td>188.62952</td><td>51.94146</td><td>G</td><td>88714.0</td><td>0.295917</td><td>SLS</td><td>18.1g</td><td>--</td><td>32</td><td>0</td><td>64</td><td>12</td><td>13</td><td>10</td><td>0</td></tr>
 <tr><td>36</td><td>43</td><td>WISEA J123746.63+481227.5</td><td>189.44448</td><td>48.20767</td><td>G</td><td>81679.0</td><td>0.272452</td><td>SLS</td><td>18.2g</td><td>--</td><td>8</td><td>0</td><td>65</td><td>8</td><td>4</td><td>10</td><td>0</td></tr>
 <tr><td>37</td><td>44</td><td>WISEA J131039.32+223502.8</td><td>197.66385</td><td>22.58407</td><td>G</td><td>69320.0</td><td>0.231225</td><td>SLS</td><td>18.1g</td><td>--</td><td>12</td><td>0</td><td>48</td><td>8</td><td>5</td><td>6</td><td>1</td></tr>
 <tr><td>38</td><td>45</td><td>WISEA J132757.52+334529.3</td><td>201.98969</td><td>33.75806</td><td>G</td><td>74623.0</td><td>0.248916</td><td>SLS</td><td>17.7g</td><td>--</td><td>16</td><td>0</td><td>88</td><td>12</td><td>4</td><td>10</td><td>0</td></tr>
@@ -733,7 +774,7 @@ <h2>3. Filter the NED results<a class="headerlink" href="#filter-the-ned-results
 <tr><td>45</td><td>53</td><td>WISEA J143447.88+020228.8</td><td>218.69942</td><td>2.04129</td><td>G</td><td>83914.0</td><td>0.279907</td><td>SLS</td><td>18.6g</td><td>--</td><td>10</td><td>0</td><td>62</td><td>9</td><td>5</td><td>8</td><td>0</td></tr>
 <tr><td>46</td><td>54</td><td>WISEA J144728.35+590831.9</td><td>221.86807</td><td>59.14209</td><td>G</td><td>73602.0</td><td>0.245509</td><td>SLS</td><td>18.3g</td><td>--</td><td>15</td><td>0</td><td>70</td><td>11</td><td>8</td><td>10</td><td>0</td></tr>
 <tr><td>47</td><td>55</td><td>WISEA J153619.01+452247.7</td><td>234.07909</td><td>45.37968</td><td>G</td><td>70804.0</td><td>0.236177</td><td>SLS</td><td>18.1g</td><td>--</td><td>9</td><td>0</td><td>57</td><td>7</td><td>3</td><td>8</td><td>0</td></tr>
-<tr><td>48</td><td>56</td><td>WISEA J154307.78+193751.7</td><td>235.78241</td><td>19.63104</td><td>G</td><td>68774.0</td><td>0.229405</td><td>SLS</td><td>17.0g</td><td>--</td><td>43</td><td>1</td><td>50</td><td>21</td><td>18</td><td>6</td><td>0</td></tr>
+<tr><td>48</td><td>56</td><td>WISEA J154307.78+193751.7</td><td>235.78241</td><td>19.63104</td><td>G</td><td>68774.0</td><td>0.229405</td><td>SLS</td><td>17.0g</td><td>--</td><td>44</td><td>1</td><td>50</td><td>22</td><td>19</td><td>6</td><td>0</td></tr>
 <tr><td>49</td><td>57</td><td>WISEA J154950.90+234444.0</td><td>237.46216</td><td>23.7456</td><td>G</td><td>78570.0</td><td>0.262082</td><td>SLS</td><td>18.5g</td><td>--</td><td>7</td><td>0</td><td>31</td><td>5</td><td>4</td><td>4</td><td>0</td></tr>
 <tr><td>50</td><td>59</td><td>2MASX J16014061+2718161</td><td>240.41924</td><td>27.30443</td><td>G</td><td>49285.0</td><td>0.164398</td><td>SLS</td><td>16.7g</td><td>--</td><td>22</td><td>0</td><td>54</td><td>7</td><td>7</td><td>10</td><td>1</td></tr>
 <tr><td>51</td><td>60</td><td>WISEA J163945.96+460905.8</td><td>249.94148</td><td>46.1517</td><td>G</td><td>74087.0</td><td>0.247128</td><td>SLS</td><td>18.3g</td><td>--</td><td>13</td><td>0</td><td>70</td><td>8</td><td>4</td><td>10</td><td>0</td></tr>
@@ -761,14 +802,14 @@ <h2>3. Filter the NED results<a class="headerlink" href="#filter-the-ned-results
     datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'
 }});
 require(["datatables"], function(){
-    console.log("$('#table140106228984240-978082').dataTable()");
+    console.log("$('#table140387632301920-957499').dataTable()");
     
 jQuery.extend( jQuery.fn.dataTableExt.oSort, {
     "optionalnum-asc": astropy_sort_num,
     "optionalnum-desc": function (a,b) { return -astropy_sort_num(a, b); }
 });
 
-    $('#table140106228984240-978082').dataTable({
+    $('#table140387632301920-957499').dataTable({
         order: [],
         pageLength: 50,
         lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],
@@ -781,7 +822,7 @@ <h2>3. Filter the NED results<a class="headerlink" href="#filter-the-ned-results
 </div>
 </section>
 <section id="search-the-navo-registry-for-image-resources">
-<h2>4. Search the NAVO Registry for image resources<a class="headerlink" href="#search-the-navo-registry-for-image-resources" title="Permalink to this headline">#</a></h2>
+<h2>4. Search the NAVO Registry for image resources<a class="headerlink" href="#search-the-navo-registry-for-image-resources" title="Link to this heading">#</a></h2>
 <p>The paper selected super spirals using WISE, SDSS, and GALEX images. Search the NAVO registry for all image resources, using the ‘service_type’ search parameter. How many image resources are currently available?</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -794,11 +835,11 @@ <h2>4. Search the NAVO Registry for image resources<a class="headerlink" href="#
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>263 result(s) found.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>265 result(s) found.
 </pre></div>
 </div>
-<div class="output text_html"><div><i>Table length=263</i>
-<table id="table140105267707472" class="table-striped table-bordered table-condensed">
+<div class="output text_html"><div><i>Table length=265</i>
+<table id="table140387632304176" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ivoid</th><th>short_name</th><th>res_title</th></tr></thead>
 <thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>
 <tr><td>ivo://3crsnapshots/sia</td><td>3CRSnap.sia</td><td>3CRSnapshots Simple Image Access Service</td></tr>
@@ -810,8 +851,8 @@ <h2>4. Search the NAVO Registry for image resources<a class="headerlink" href="#
 <tr><td>ivo://astron.nl/apertif_dr_bootes/q/cutout</td><td>DR Bootes</td><td>Apertif DR Bootes - Mosaic</td></tr>
 <tr><td>ivo://astron.nl/hetdex/lotss-dr1-img/cutout</td><td>LoTSS-DR1 Cutout</td><td>LoTSS-DR1 Image Cutout Service</td></tr>
 <tr><td>ivo://astron.nl/hetdex/lotss-dr1-img/imgs</td><td>LoTSS-DR1 images</td><td>LoTSS-DR1 Image Archive</td></tr>
-<tr><td>ivo://astron.nl/lofartier1/q_img/cutout</td><td>LoTSS-PDR Cutout</td><td>LoTSS-PDR Image Cutout Service</td></tr>
 <tr><td>...</td><td>...</td><td>...</td></tr>
+<tr><td>ivo://wfau.roe.ac.uk/ukidssdr2-siap</td><td>UKIDSS DR2 SIAP</td><td>UKIDSS DR2 SIAP Service</td></tr>
 <tr><td>ivo://wfau.roe.ac.uk/ukidssdr3-siap</td><td>UKIDSS DR3 SIAP</td><td>UKIDSS DR3 SIAP Service</td></tr>
 <tr><td>ivo://wfau.roe.ac.uk/ukidssdr4-siap</td><td>UKIDSS DR4 SIAP</td><td>UKIDSS DR4 SIAP Service</td></tr>
 <tr><td>ivo://wfau.roe.ac.uk/ukidssdr5-siap</td><td>UKIDSS DR5 SIAP</td><td>UKIDSS DR5 SIAP Service</td></tr>
@@ -821,12 +862,11 @@ <h2>4. Search the NAVO Registry for image resources<a class="headerlink" href="#
 <tr><td>ivo://wfau.roe.ac.uk/ukidssdr9-siap</td><td>UKIDSS DR9 SIAP</td><td>UKIDSS DR9 SIAP Service</td></tr>
 <tr><td>ivo://wfau.roe.ac.uk/vhsdr1-siap</td><td>VHS DR1 SIAP</td><td>VHS DR1 SIAP Service</td></tr>
 <tr><td>ivo://wfau.roe.ac.uk/vista-siap</td><td>VISTA SIAP</td><td>VISTA SIAP Service</td></tr>
-<tr><td>ivo://xcatdb/3xmmdr7/epicsia</td><td>3XMM-DR7-SIA</td><td>Epic Image SIAP of the SSC Interface for the  3XMM-DR7 Catalogue</td></tr>
 </table></div></div></div>
 </div>
 </section>
 <section id="search-the-navo-registry-for-image-resources-that-will-allow-you-to-search-for-allwise-images">
-<h2>5. Search the NAVO Registry for image resources that will allow you to search for AllWISE images<a class="headerlink" href="#search-the-navo-registry-for-image-resources-that-will-allow-you-to-search-for-allwise-images" title="Permalink to this headline">#</a></h2>
+<h2>5. Search the NAVO Registry for image resources that will allow you to search for AllWISE images<a class="headerlink" href="#search-the-navo-registry-for-image-resources-that-will-allow-you-to-search-for-allwise-images" title="Link to this heading">#</a></h2>
 <p>There are hundreds of image resources…too many to quickly read through. Try adding the ‘keywords’ search parameter to your registry search, and find the image resource you would need to search the AllWISE images. Remember from the Known Issues that ‘keywords’ must be a list.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -843,7 +883,7 @@ <h2>5. Search the NAVO Registry for image resources that will allow you to searc
 </pre></div>
 </div>
 <div class="output text_html"><div><i>Table length=1</i>
-<table id="table140105267940560" class="table-striped table-bordered table-condensed">
+<table id="table140387629156816" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ivoid</th><th>short_name</th><th>res_title</th></tr></thead>
 <thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>
 <tr><td>ivo://irsa.ipac/wise/images/allwise/l3a</td><td>AllWISE L3a</td><td>AllWISE Atlas (L3a) Coadd Images</td></tr>
@@ -851,7 +891,7 @@ <h2>5. Search the NAVO Registry for image resources that will allow you to searc
 </div>
 </section>
 <section id="choose-the-allwise-image-service-that-you-are-interested-in">
-<h2>6. Choose the AllWISE image service that you are interested in<a class="headerlink" href="#choose-the-allwise-image-service-that-you-are-interested-in" title="Permalink to this headline">#</a></h2>
+<h2>6. Choose the AllWISE image service that you are interested in<a class="headerlink" href="#choose-the-allwise-image-service-that-you-are-interested-in" title="Link to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">allwise_image_service</span> <span class="o">=</span> <span class="n">allwise_image_services</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
@@ -860,14 +900,14 @@ <h2>6. Choose the AllWISE image service that you are interested in<a class="head
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pyvo.dal.sia.SIAService at 0x7f6cccb2d510&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pyvo.dal.sia.SIAService at 0x7fae8af45300&gt;
 </pre></div>
 </div>
 </div>
 </div>
 </section>
 <section id="choose-one-of-the-galaxies-in-the-ned-list">
-<h2>7. Choose one of the galaxies in the NED list<a class="headerlink" href="#choose-one-of-the-galaxies-in-the-ned-list" title="Permalink to this headline">#</a></h2>
+<h2>7. Choose one of the galaxies in the NED list<a class="headerlink" href="#choose-one-of-the-galaxies-in-the-ned-list" title="Link to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ra</span> <span class="o">=</span> <span class="n">galaxies</span><span class="p">[</span><span class="s1">&#39;RA&#39;</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
@@ -884,14 +924,14 @@ <h2>7. Choose one of the galaxies in the NED list<a class="headerlink" href="#ch
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(3.95892, -10.04511)
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(np.float64(3.95892), np.float64(-10.04511))
 </pre></div>
 </div>
 </div>
 </div>
 </section>
 <section id="search-for-a-list-of-allwise-images-that-cover-this-galaxy">
-<h2>8. Search for a list of AllWISE images that cover this galaxy<a class="headerlink" href="#search-for-a-list-of-allwise-images-that-cover-this-galaxy" title="Permalink to this headline">#</a></h2>
+<h2>8. Search for a list of AllWISE images that cover this galaxy<a class="headerlink" href="#search-for-a-list-of-allwise-images-that-cover-this-galaxy" title="Link to this heading">#</a></h2>
 <p>How many images are returned? Which are you most interested in?</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -906,17 +946,17 @@ <h2>8. Search for a list of AllWISE images that cover this galaxy<a class="heade
                        ...              
         object         ...     object   
 ---------------------- ... -------------
+W2 Coadd 0046m107_ac51 ... 0046m107_ac51
 W1 Coadd 0046m107_ac51 ... 0046m107_ac51
 W3 Coadd 0046m107_ac51 ... 0046m107_ac51
 W4 Coadd 0046m107_ac51 ... 0046m107_ac51
-W2 Coadd 0046m107_ac51 ... 0046m107_ac51
 </pre></div>
 </div>
 </div>
 </div>
 </section>
 <section id="use-the-to-table-method-to-view-the-results-as-an-astropy-table">
-<h2>9. Use the .to_table() method to view the results as an Astropy table<a class="headerlink" href="#use-the-to-table-method-to-view-the-results-as-an-astropy-table" title="Permalink to this headline">#</a></h2>
+<h2>9. Use the .to_table() method to view the results as an Astropy table<a class="headerlink" href="#use-the-to-table-method-to-view-the-results-as-an-astropy-table" title="Link to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">allwise_images</span> <span class="o">=</span> <span class="n">allwise_image_table</span><span class="o">.</span><span class="n">to_table</span><span class="p">()</span>
@@ -926,19 +966,19 @@ <h2>9. Use the .to_table() method to view the results as an Astropy table<a clas
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=4</i>
-<table id="table140105266524080" class="table-striped table-bordered table-condensed">
-<thead><tr><th>sia_title</th><th>sia_url</th><th>cloud_access</th><th>sia_naxes</th><th>sia_fmt</th><th>sia_ra</th><th>sia_dec</th><th>sia_naxis</th><th>sia_crpix</th><th>sia_crval</th><th>sia_proj</th><th>sia_scale</th><th>sia_cd</th><th>sia_bp_id</th><th>sia_bp_ref</th><th>sia_bp_hi</th><th>sia_bp_lo</th><th>magzp</th><th>magzpunc</th><th>unc_url</th><th>cov_url</th><th>coadd_id</th></tr></thead>
-<thead><tr><th></th><th></th><th></th><th></th><th></th><th>deg</th><th>deg</th><th></th><th>pix</th><th>deg</th><th></th><th>deg / pix</th><th>deg / pix</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>
-<thead><tr><th>object</th><th>object</th><th>object</th><th>int32</th><th>object</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th></tr></thead>
-<tr><td>W1 Coadd 0046m107_ac51</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w1-int-3.fits</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;: &quot;nasa-irsa-wise&quot;, &quot;key&quot;:&quot;wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w1-int-3.fits&quot;, &quot;region&quot;: &quot;us-west-2&quot;}}</td><td>2</td><td>image/fits</td><td>4.61538</td><td>-10.601111</td><td>[4095 4095]</td><td>[2048.0 2048.0]</td><td>[4.61538 -10.601111]</td><td>SIN</td><td>[-0.0003819444391411 0.0003819444391411]</td><td>[-0.0003819444391411 -0.0 -0.0 0.0003819444391411]</td><td>W1</td><td>3.35e-06</td><td>3.78e-06</td><td>3.13e-06</td><td>20.5</td><td>0.006</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w1-unc-3.fits.gz</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w1-cov-3.fits.gz</td><td>0046m107_ac51</td></tr>
-<tr><td>W3 Coadd 0046m107_ac51</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w3-int-3.fits</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;: &quot;nasa-irsa-wise&quot;, &quot;key&quot;:&quot;wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w3-int-3.fits&quot;, &quot;region&quot;: &quot;us-west-2&quot;}}</td><td>2</td><td>image/fits</td><td>4.61538</td><td>-10.601111</td><td>[4095 4095]</td><td>[2048.0 2048.0]</td><td>[4.61538 -10.601111]</td><td>SIN</td><td>[-0.0003819444391411 0.0003819444391411]</td><td>[-0.0003819444391411 -0.0 -0.0 0.0003819444391411]</td><td>W3</td><td>1.156e-05</td><td>1.627e-05</td><td>7.6e-06</td><td>18.0</td><td>0.012</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w3-unc-3.fits.gz</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w3-cov-3.fits.gz</td><td>0046m107_ac51</td></tr>
-<tr><td>W4 Coadd 0046m107_ac51</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w4-int-3.fits</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;: &quot;nasa-irsa-wise&quot;, &quot;key&quot;:&quot;wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w4-int-3.fits&quot;, &quot;region&quot;: &quot;us-west-2&quot;}}</td><td>2</td><td>image/fits</td><td>4.61538</td><td>-10.601111</td><td>[4095 4095]</td><td>[2048.0 2048.0]</td><td>[4.61538 -10.601111]</td><td>SIN</td><td>[-0.0003819444391411 0.0003819444391411]</td><td>[-0.0003819444391411 -0.0 -0.0 0.0003819444391411]</td><td>W4</td><td>2.209e-05</td><td>2.336e-05</td><td>1.984e-05</td><td>13.0</td><td>0.012</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w4-unc-3.fits.gz</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w4-cov-3.fits.gz</td><td>0046m107_ac51</td></tr>
-<tr><td>W2 Coadd 0046m107_ac51</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w2-int-3.fits</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;: &quot;nasa-irsa-wise&quot;, &quot;key&quot;:&quot;wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w2-int-3.fits&quot;, &quot;region&quot;: &quot;us-west-2&quot;}}</td><td>2</td><td>image/fits</td><td>4.61538</td><td>-10.601111</td><td>[4095 4095]</td><td>[2048.0 2048.0]</td><td>[4.61538 -10.601111]</td><td>SIN</td><td>[-0.0003819444391411 0.0003819444391411]</td><td>[-0.0003819444391411 -0.0 -0.0 0.0003819444391411]</td><td>W2</td><td>4.6e-06</td><td>5.19e-06</td><td>4.02e-06</td><td>19.5</td><td>0.007</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w2-unc-3.fits.gz</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w2-cov-3.fits.gz</td><td>0046m107_ac51</td></tr>
+<table id="table140387629416160" class="table-striped table-bordered table-condensed">
+<thead><tr><th>sia_title</th><th>sia_url</th><th>cloud_access</th><th>sia_naxes</th><th>sia_fmt</th><th>sia_ra</th><th>sia_dec</th><th>sia_naxis</th><th>sia_crpix</th><th>sia_crval</th><th>sia_proj</th><th>sia_scale</th><th>sia_cd</th><th>sia_bp_id</th><th>sia_bp_ref</th><th>sia_bp_hi</th><th>sia_bp_lo</th><th>sia_bp_unit</th><th>magzp</th><th>magzpunc</th><th>unc_url</th><th>cov_url</th><th>coadd_id</th></tr></thead>
+<thead><tr><th></th><th></th><th></th><th></th><th></th><th>deg</th><th>deg</th><th></th><th>pix</th><th>deg</th><th></th><th>deg / pix</th><th>deg / pix</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>
+<thead><tr><th>object</th><th>object</th><th>object</th><th>int32</th><th>object</th><th>float64</th><th>float64</th><th>int32[2]</th><th>float64[2]</th><th>float64[2]</th><th>object</th><th>float64[2]</th><th>float64[4]</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th></tr></thead>
+<tr><td>W2 Coadd 0046m107_ac51</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w2-int-3.fits</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;: &quot;nasa-irsa-wise&quot;, &quot;key&quot;:&quot;wise/allwise/images/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w2-int-3.fits&quot;, &quot;region&quot;: &quot;us-west-2&quot;}}</td><td>2</td><td>image/fits</td><td>4.61538</td><td>-10.601111</td><td>4095 .. 4095</td><td>2048.0 .. 2048.0</td><td>4.61538 .. -10.601111</td><td>SIN</td><td>-0.0003819444391411 .. 0.0003819444391411</td><td>-0.0003819444391411 .. 0.0003819444391411</td><td>W2</td><td>4.6e-06</td><td>5.19e-06</td><td>4.02e-06</td><td>m</td><td>19.5</td><td>0.007</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w2-unc-3.fits.gz</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w2-cov-3.fits.gz</td><td>0046m107_ac51</td></tr>
+<tr><td>W1 Coadd 0046m107_ac51</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w1-int-3.fits</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;: &quot;nasa-irsa-wise&quot;, &quot;key&quot;:&quot;wise/allwise/images/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w1-int-3.fits&quot;, &quot;region&quot;: &quot;us-west-2&quot;}}</td><td>2</td><td>image/fits</td><td>4.61538</td><td>-10.601111</td><td>4095 .. 4095</td><td>2048.0 .. 2048.0</td><td>4.61538 .. -10.601111</td><td>SIN</td><td>-0.0003819444391411 .. 0.0003819444391411</td><td>-0.0003819444391411 .. 0.0003819444391411</td><td>W1</td><td>3.35e-06</td><td>3.78e-06</td><td>3.13e-06</td><td>m</td><td>20.5</td><td>0.006</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w1-unc-3.fits.gz</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w1-cov-3.fits.gz</td><td>0046m107_ac51</td></tr>
+<tr><td>W3 Coadd 0046m107_ac51</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w3-int-3.fits</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;: &quot;nasa-irsa-wise&quot;, &quot;key&quot;:&quot;wise/allwise/images/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w3-int-3.fits&quot;, &quot;region&quot;: &quot;us-west-2&quot;}}</td><td>2</td><td>image/fits</td><td>4.61538</td><td>-10.601111</td><td>4095 .. 4095</td><td>2048.0 .. 2048.0</td><td>4.61538 .. -10.601111</td><td>SIN</td><td>-0.0003819444391411 .. 0.0003819444391411</td><td>-0.0003819444391411 .. 0.0003819444391411</td><td>W3</td><td>1.156e-05</td><td>1.627e-05</td><td>7.6e-06</td><td>m</td><td>18.0</td><td>0.012</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w3-unc-3.fits.gz</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w3-cov-3.fits.gz</td><td>0046m107_ac51</td></tr>
+<tr><td>W4 Coadd 0046m107_ac51</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w4-int-3.fits</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;: &quot;nasa-irsa-wise&quot;, &quot;key&quot;:&quot;wise/allwise/images/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w4-int-3.fits&quot;, &quot;region&quot;: &quot;us-west-2&quot;}}</td><td>2</td><td>image/fits</td><td>4.61538</td><td>-10.601111</td><td>4095 .. 4095</td><td>2048.0 .. 2048.0</td><td>4.61538 .. -10.601111</td><td>SIN</td><td>-0.0003819444391411 .. 0.0003819444391411</td><td>-0.0003819444391411 .. 0.0003819444391411</td><td>W4</td><td>2.209e-05</td><td>2.336e-05</td><td>1.984e-05</td><td>m</td><td>13.0</td><td>0.012</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w4-unc-3.fits.gz</td><td>https://irsa.ipac.caltech.edu/ibe/data/wise/allwise/p3am_cdd/00/0046/0046m107_ac51/0046m107_ac51-w4-cov-3.fits.gz</td><td>0046m107_ac51</td></tr>
 </table></div></div></div>
 </div>
 </section>
 <section id="from-the-result-in-8-select-the-first-record-for-an-image-taken-in-wise-band-w1-3-6-micron">
-<h2>10. From the result in 8., select the first record for an image taken in WISE band W1 (3.6 micron)<a class="headerlink" href="#from-the-result-in-8-select-the-first-record-for-an-image-taken-in-wise-band-w1-3-6-micron" title="Permalink to this headline">#</a></h2>
+<h2>10. From the result in 8., select the first record for an image taken in WISE band W1 (3.6 micron)<a class="headerlink" href="#from-the-result-in-8-select-the-first-record-for-an-image-taken-in-wise-band-w1-3-6-micron" title="Link to this heading">#</a></h2>
 <p>Hints:</p>
 <ul class="simple">
 <li><p>Loop over records and test on the <code class="docutils literal notranslate"><span class="pre">.bandpass_id</span></code> attribute of each record</p></li>
@@ -961,7 +1001,7 @@ <h2>10. From the result in 8., select the first record for an image taken in WIS
 </div>
 </section>
 <section id="visualize-this-allwise-image">
-<h2>11. Visualize this AllWISE image<a class="headerlink" href="#visualize-this-allwise-image" title="Permalink to this headline">#</a></h2>
+<h2>11. Visualize this AllWISE image<a class="headerlink" href="#visualize-this-allwise-image" title="Link to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">## If you only run this once, you can do it in memory in one line:</span>
@@ -987,15 +1027,15 @@ <h2>11. Visualize this AllWISE image<a class="headerlink" href="#visualize-this-
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.PathCollection at 0x7f6ccc63dea0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.PathCollection at 0x7fae8a8e8340&gt;
 </pre></div>
 </div>
-<img alt="../../_images/88926761088696a84a5443fc969b1499cae72c2355b10eaaed4b1aa481ff7431.png" src="../../_images/88926761088696a84a5443fc969b1499cae72c2355b10eaaed4b1aa481ff7431.png" />
+<img alt="../../_images/d9609661b8a8472114df969424fa475944832746ca0da612c98c4dd0d3cabf61.png" src="../../_images/d9609661b8a8472114df969424fa475944832746ca0da612c98c4dd0d3cabf61.png" />
 </div>
 </div>
 </section>
 <section id="plot-a-cutout-of-the-allwise-image-centered-on-your-position">
-<h2>12. Plot a cutout of the AllWISE image, centered on your position<a class="headerlink" href="#plot-a-cutout-of-the-allwise-image-centered-on-your-position" title="Permalink to this headline">#</a></h2>
+<h2>12. Plot a cutout of the AllWISE image, centered on your position<a class="headerlink" href="#plot-a-cutout-of-the-allwise-image-centered-on-your-position" title="Link to this heading">#</a></h2>
 <p>Try a 60 arcsecond cutout.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1012,15 +1052,15 @@ <h2>12. Plot a cutout of the AllWISE image, centered on your position<a class="h
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.PathCollection at 0x7f6cc4398a00&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.PathCollection at 0x7fae8265d7e0&gt;
 </pre></div>
 </div>
-<img alt="../../_images/7f7768c40ab8e6c435cff1790189f87b0d5c2c11b0c772dea86aa59fab9a4ef3.png" src="../../_images/7f7768c40ab8e6c435cff1790189f87b0d5c2c11b0c772dea86aa59fab9a4ef3.png" />
+<img alt="../../_images/859fcef98debee51969aaec8995bf59aa62786f138cf024982f8c2c86b8a6e0c.png" src="../../_images/859fcef98debee51969aaec8995bf59aa62786f138cf024982f8c2c86b8a6e0c.png" />
 </div>
 </div>
 </section>
 <section id="try-visualizing-a-cutout-of-a-galex-image-that-covers-your-position">
-<h2>13. Try visualizing a cutout of a GALEX image that covers your position<a class="headerlink" href="#try-visualizing-a-cutout-of-a-galex-image-that-covers-your-position" title="Permalink to this headline">#</a></h2>
+<h2>13. Try visualizing a cutout of a GALEX image that covers your position<a class="headerlink" href="#try-visualizing-a-cutout-of-a-galex-image-that-covers-your-position" title="Link to this heading">#</a></h2>
 <p>Repeat steps 4, 5, 6, 8 through 12 for GALEX.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1035,7 +1075,7 @@ <h2>13. Try visualizing a cutout of a GALEX image that covers your position<a cl
 </pre></div>
 </div>
 <div class="output text_html"><div><i>Table length=3</i>
-<table id="table140105125304336" class="table-striped table-bordered table-condensed">
+<table id="table140387489087392" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ivoid</th><th>short_name</th><th>res_title</th></tr></thead>
 <thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>
 <tr><td>ivo://archive.stsci.edu/sia/galex</td><td>GALEX</td><td>Galaxy Evolution Explorer (GALEX)</td></tr>
@@ -1114,10 +1154,10 @@ <h2>13. Try visualizing a cutout of a GALEX image that covers your position<a cl
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.PathCollection at 0x7f6cc117f7c0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.PathCollection at 0x7fae80481870&gt;
 </pre></div>
 </div>
-<img alt="../../_images/dbeadc26e4c82dd94a33fe2e09bc5481c33e61416f2df56d08cdaefb0d337bf6.png" src="../../_images/dbeadc26e4c82dd94a33fe2e09bc5481c33e61416f2df56d08cdaefb0d337bf6.png" />
+<img alt="../../_images/0d695422d5b549cda5c5cceb20cbe73053e65bc3df873d1957c52ce2c0168bab.png" src="../../_images/0d695422d5b549cda5c5cceb20cbe73053e65bc3df873d1957c52ce2c0168bab.png" />
 </div>
 </div>
 <div class="cell docutils container">
@@ -1133,15 +1173,15 @@ <h2>13. Try visualizing a cutout of a GALEX image that covers your position<a cl
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.PathCollection at 0x7f6cc11b6c20&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.PathCollection at 0x7fae804ca890&gt;
 </pre></div>
 </div>
-<img alt="../../_images/37910653d03212071d306b83905f5bde1837fc089353551935006ec543ae4fa3.png" src="../../_images/37910653d03212071d306b83905f5bde1837fc089353551935006ec543ae4fa3.png" />
+<img alt="../../_images/23b8c68b351d7cecfb24963c90acd8162cb20e9c1a5bac2504a03587a404a9e7.png" src="../../_images/23b8c68b351d7cecfb24963c90acd8162cb20e9c1a5bac2504a03587a404a9e7.png" />
 </div>
 </div>
 </section>
 <section id="try-visualizing-a-cutout-of-an-sdss-image-that-covers-your-position">
-<h2>14. Try visualizing a cutout of an SDSS image that covers your position<a class="headerlink" href="#try-visualizing-a-cutout-of-an-sdss-image-that-covers-your-position" title="Permalink to this headline">#</a></h2>
+<h2>14. Try visualizing a cutout of an SDSS image that covers your position<a class="headerlink" href="#try-visualizing-a-cutout-of-an-sdss-image-that-covers-your-position" title="Link to this heading">#</a></h2>
 <p>Hints:</p>
 <ul class="simple">
 <li><p>Search the registry using `keywords=[‘sloan’]</p></li>
@@ -1157,7 +1197,7 @@ <h2>14. Try visualizing a cutout of an SDSS image that covers your position<a cl
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=21</i>
-<table id="table140105072997760" class="table-striped table-bordered table-condensed">
+<table id="table140387489076640" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ivoid</th><th>short_name</th><th>res_title</th><th>source_value</th></tr></thead>
 <thead><tr><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>
 <tr><td>ivo://mast.stsci/siap/al218</td><td>VLA.AL218</td><td>VLA-A Array AL218 Texas Survey Source Snapshots (AL218)</td><td></td></tr>
@@ -1254,10 +1294,10 @@ <h2>14. Try visualizing a cutout of an SDSS image that covers your position<a cl
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING: FITSFixedWarning: &#39;datfix&#39; made the change &#39;Set MJD-OBS to 54007.000000 from DATE-OBS&#39;. [astropy.wcs.wcs]
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.PathCollection at 0x7f6cc0f18640&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.PathCollection at 0x7fae803f7cd0&gt;
 </pre></div>
 </div>
-<img alt="../../_images/22ac5111c66af718cd6f344643a56ab61cc64a582ce930dd152a50a3c4210738.png" src="../../_images/22ac5111c66af718cd6f344643a56ab61cc64a582ce930dd152a50a3c4210738.png" />
+<img alt="../../_images/0502782ad6970392f47e718ad5d603d26ec562700252626a226dab770b190738.png" src="../../_images/0502782ad6970392f47e718ad5d603d26ec562700252626a226dab770b190738.png" />
 </div>
 </div>
 <div class="cell docutils container">
@@ -1276,15 +1316,15 @@ <h2>14. Try visualizing a cutout of an SDSS image that covers your position<a cl
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING: FITSFixedWarning: &#39;datfix&#39; made the change &#39;Set MJD-OBS to 54007.000000 from DATE-OBS&#39;. [astropy.wcs.wcs]
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.PathCollection at 0x7f6cc0f7b820&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.PathCollection at 0x7fae80239900&gt;
 </pre></div>
 </div>
-<img alt="../../_images/92f706abac1dc55aadb8bd6474f78cc5b08f3fabbe6e50329d6e4ff52dd36dc1.png" src="../../_images/92f706abac1dc55aadb8bd6474f78cc5b08f3fabbe6e50329d6e4ff52dd36dc1.png" />
+<img alt="../../_images/53081b355fd43873d23702d2f299dca2579e51f8f280f5b69a97ae6c01296109.png" src="../../_images/53081b355fd43873d23702d2f299dca2579e51f8f280f5b69a97ae6c01296109.png" />
 </div>
 </div>
 </section>
 <section id="try-looping-over-all-positions-and-plotting-multiwavelength-cutouts">
-<h2>15. Try looping over all positions and plotting multiwavelength cutouts<a class="headerlink" href="#try-looping-over-all-positions-and-plotting-multiwavelength-cutouts" title="Permalink to this headline">#</a></h2>
+<h2>15. Try looping over all positions and plotting multiwavelength cutouts<a class="headerlink" href="#try-looping-over-all-positions-and-plotting-multiwavelength-cutouts" title="Link to this heading">#</a></h2>
 <p>Warning: this cell takes a long time to run! We limit it to the first three galaxies only.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1407,9 +1447,9 @@ <h2>15. Try looping over all positions and plotting multiwavelength cutouts<a cl
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING: FITSFixedWarning: &#39;datfix&#39; made the change &#39;Set MJD-OBS to 51465.000000 from DATE-OBS&#39;. [astropy.wcs.wcs]
 </pre></div>
 </div>
-<img alt="../../_images/80de97ac30e9424ddc5d096f58fad8862ebc90172e673454d5852b7ba95a6291.png" src="../../_images/80de97ac30e9424ddc5d096f58fad8862ebc90172e673454d5852b7ba95a6291.png" />
-<img alt="../../_images/890e6d9138472f492319fae5d24e370b5388a454b2190121385e12b94120bac5.png" src="../../_images/890e6d9138472f492319fae5d24e370b5388a454b2190121385e12b94120bac5.png" />
-<img alt="../../_images/9a23ad48383bf3f9c15bd11f56e2761a02e0392bdc649d380834693d7a2ae084.png" src="../../_images/9a23ad48383bf3f9c15bd11f56e2761a02e0392bdc649d380834693d7a2ae084.png" />
+<img alt="../../_images/4c9ebdb8d160f3cd03cdbfa23df44120d8e93712bd19cb7259090269b89dfd12.png" src="../../_images/4c9ebdb8d160f3cd03cdbfa23df44120d8e93712bd19cb7259090269b89dfd12.png" />
+<img alt="../../_images/bbf59d748cfb3b82d3d821a5bcd34c541d26cdfaa7d1359007ee26bb07ed4969.png" src="../../_images/bbf59d748cfb3b82d3d821a5bcd34c541d26cdfaa7d1359007ee26bb07ed4969.png" />
+<img alt="../../_images/385af32f5fbb5e74ca045b0e28396f6dfb8a96b8851cac595ecc243764d0be70.png" src="../../_images/385af32f5fbb5e74ca045b0e28396f6dfb8a96b8851cac595ecc243764d0be70.png" />
 </div>
 </div>
 </section>
@@ -1421,11 +1461,10 @@ <h2>15. Try looping over all positions and plotting multiwavelength cutouts<a cl
 
               
               
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@@ -471,10 +499,10 @@ <h2> Contents </h2>
               
                 
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   <section id="hr-hertzsprung-russell-diagram-exercise">
-<h1>HR (Hertzsprung-Russell) Diagram Exercise<a class="headerlink" href="#hr-hertzsprung-russell-diagram-exercise" title="Permalink to this headline">#</a></h1>
+<h1>HR (Hertzsprung-Russell) Diagram Exercise<a class="headerlink" href="#hr-hertzsprung-russell-diagram-exercise" title="Link to this heading">#</a></h1>
 <p>The <a class="reference external" href="https://en.wikipedia.org/wiki/Hertzsprung%E2%80%93Russell_diagram">Hertzsprung-Russell diagram</a> is a fundamental diagram in astronomy that displays important relationships between the stellar color (or temperature) and absolute brightness (or luminosity).</p>
 <p>In this exercise, we will use existing stellar catalogs to produce the H-R diagram.</p>
 <div class="cell docutils container">
@@ -502,11 +530,11 @@ <h1>HR (Hertzsprung-Russell) Diagram Exercise<a class="headerlink" href="#hr-her
 </div>
 </div>
 <section id="step-1-find-appropriate-catalogs">
-<h2>Step 1: Find appropriate catalogs<a class="headerlink" href="#step-1-find-appropriate-catalogs" title="Permalink to this headline">#</a></h2>
+<h2>Step 1: Find appropriate catalogs<a class="headerlink" href="#step-1-find-appropriate-catalogs" title="Link to this heading">#</a></h2>
 <p>We want to find a star catalog that has the available data to produce the H-R diagram, i.e., the absolute magnitudes (or both apparent magnitudes AND distances, so we can calculate the absolute magnitudes) in two optical bands (e.g., B and V). This would give us color. Or we need B- OR V- band magnitude and the stellar temperature.</p>
 <p>To simplify this problem, we want to find a catalog of an open cluster of stars, where all the stars were born around the same time and are located in one cluster. This simplifies the issue of getting accurate distances to the stars. One famous cluster is the Pleiades in the constellation of Taurus. So first we start by searching for an existing catalog with data on Pleiades that will provide the necessary information about the stars: magnitudes in two bands (e.g., B and V), which can be used to measure color, or temperature of the star plus one magnitude.</p>
 <section id="data-discovery-steps">
-<h3>DATA DISCOVERY STEPS<a class="headerlink" href="#data-discovery-steps" title="Permalink to this headline">#</a></h3>
+<h3>DATA DISCOVERY STEPS<a class="headerlink" href="#data-discovery-steps" title="Link to this heading">#</a></h3>
 <p>Here is useful link for <a class="reference external" href="https://pyvo.readthedocs.io/en/latest/registry/index.html">how the pyvo registry search works</a>.</p>
 <div class="cell tag_output_scroll docutils container">
 <div class="cell_input docutils container">
@@ -524,7 +552,7 @@ <h3>DATA DISCOVERY STEPS<a class="headerlink" href="#data-discovery-steps" title
 <p>Note: The includeaux=True includes auxiliary services.</p>
 <p>Because we specified the service type, this returns only the TAP services for each of the avalible resorces matching our search criteria.  So, the ‘interfaces’ column will only show TAP service as an avalible service, even if other services are avalible from the same resource. We know we need the service to be a TAP service since we know that we want to eventually access the search using additional column information (i.e., beyond RA and Dec, which is all that Simple Cone Search returns).</p>
 <section id="next-we-need-to-find-which-of-these-has-the-columns-of-interest-i-e-magnitudes-in-two-bands-to-create-the-color-magnitude-diagram">
-<h4>Next, we need to find which of these has the columns of interest, i.e. magnitudes in two bands to create the color-magnitude diagram<a class="headerlink" href="#next-we-need-to-find-which-of-these-has-the-columns-of-interest-i-e-magnitudes-in-two-bands-to-create-the-color-magnitude-diagram" title="Permalink to this headline">#</a></h4>
+<h4>Next, we need to find which of these has the columns of interest, i.e. magnitudes in two bands to create the color-magnitude diagram<a class="headerlink" href="#next-we-need-to-find-which-of-these-has-the-columns-of-interest-i-e-magnitudes-in-two-bands-to-create-the-color-magnitude-diagram" title="Link to this heading">#</a></h4>
 <p>We can re-run the registry search, but further restrict the results by column UCD.  We want tables that have magnitude columns; the most basic UCD to describe a magnitude column is phot.mag</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -567,14 +595,14 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 </section>
 </section>
 <section id="at-this-point-you-can-proceed-to-step-2">
-<h3>At this point, you can proceed to Step 2<a class="headerlink" href="#at-this-point-you-can-proceed-to-step-2" title="Permalink to this headline">#</a></h3>
+<h3>At this point, you can proceed to Step 2<a class="headerlink" href="#at-this-point-you-can-proceed-to-step-2" title="Link to this heading">#</a></h3>
 <p>– OR –</p>
 </section>
 <section id="try-a-different-data-discovery-method">
-<h3>Try a different data discovery method<a class="headerlink" href="#try-a-different-data-discovery-method" title="Permalink to this headline">#</a></h3>
+<h3>Try a different data discovery method<a class="headerlink" href="#try-a-different-data-discovery-method" title="Link to this heading">#</a></h3>
 </section>
 <section id="alternative-method-use-ads-to-search-for-appropriate-paper-and-access-data-via-ned">
-<h3>Alternative Method: Use ADS to search for appropriate paper and access data via NED<a class="headerlink" href="#alternative-method-use-ads-to-search-for-appropriate-paper-and-access-data-via-ned" title="Permalink to this headline">#</a></h3>
+<h3>Alternative Method: Use ADS to search for appropriate paper and access data via NED<a class="headerlink" href="#alternative-method-use-ads-to-search-for-appropriate-paper-and-access-data-via-ned" title="Link to this heading">#</a></h3>
 <p>There are multiple paths for the data discovery. So it may also be that you know the paper that has the data you are interested in and want to access via the bibcode or authors, etc.</p>
 <p>In this case, let’s assume that we have the information that the Eichhorn+1970 paper has the data that we need to create the H-R diagram: <a class="reference external" href="https://ui.adsabs.harvard.edu/abs/1970MmRAS..73..125E/abstract">https://ui.adsabs.harvard.edu/abs/1970MmRAS..73..125E/abstract</a></p>
 <p>We can either search by bibcode (1970MmRAS..73..125E) or “Eichhorn” to get the access_urls that will allow us to work with the data.</p>
@@ -638,7 +666,7 @@ <h3>Alternative Method: Use ADS to search for appropriate paper and access data
 </section>
 </section>
 <section id="step-2-acquire-the-relevant-data-and-make-a-plot">
-<h2>Step 2: Acquire the relevant data and make a plot<a class="headerlink" href="#step-2-acquire-the-relevant-data-and-make-a-plot" title="Permalink to this headline">#</a></h2>
+<h2>Step 2: Acquire the relevant data and make a plot<a class="headerlink" href="#step-2-acquire-the-relevant-data-and-make-a-plot" title="Link to this heading">#</a></h2>
 <p>In order to query the table, we need the table name, note this is NOT the same as the short name we found above:</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -665,7 +693,7 @@ <h2>Step 2: Acquire the relevant data and make a plot<a class="headerlink" href=
 </div>
 </div>
 <section id="plotting">
-<h3>Plotting<a class="headerlink" href="#plotting" title="Permalink to this headline">#</a></h3>
+<h3>Plotting<a class="headerlink" href="#plotting" title="Link to this heading">#</a></h3>
 <p>Note: The magnitudes here are apparent and therefore in plotting, the color-magnitude diagram is typically brightness increasing upwards (higher y-axis) so we will flip the y-axis here.</p>
 <div class="cell docutils container">
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@@ -681,13 +709,13 @@ <h3>Plotting<a class="headerlink" href="#plotting" title="Permalink to this head
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Text(0.5, 0, &#39;B-V&#39;)
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 </section>
 <section id="step-3-compare-with-other-color-magnitude-diagrams-for-pleiades">
-<h2>Step 3. Compare with other color-magnitude diagrams for Pleiades<a class="headerlink" href="#step-3-compare-with-other-color-magnitude-diagrams-for-pleiades" title="Permalink to this headline">#</a></h2>
+<h2>Step 3. Compare with other color-magnitude diagrams for Pleiades<a class="headerlink" href="#step-3-compare-with-other-color-magnitude-diagrams-for-pleiades" title="Link to this heading">#</a></h2>
 <p>There is nice discussion here: <a class="reference external" href="http://www.southastrodel.com/Page03009a.htm">http://www.southastrodel.com/Page03009a.htm</a>  about the color-magnitude diagram. Their Fig 4 looks slightly cleaner because part of this investigation was to select the 270 stars that are vetted members and restricted to stellar types more massive than K0.</p>
 <p>The dataset is from Raboud+1998 (1998A&amp;A…329..101R)</p>
 <p>Therefore in this next step, we will use the bibcode to select this data and overplot with the previous data to compare.</p>
@@ -726,12 +754,12 @@ <h2>Step 3. Compare with other color-magnitude diagrams for Pleiades<a class="he
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Text(0.5, 0, &#39;B-V&#39;)
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 <section id="bonus-step-4-the-cmd-as-a-distance-indicator">
-<h2>BONUS: Step 4: The CMD as a distance indicator<a class="headerlink" href="#bonus-step-4-the-cmd-as-a-distance-indicator" title="Permalink to this headline">#</a></h2>
+<h2>BONUS: Step 4: The CMD as a distance indicator<a class="headerlink" href="#bonus-step-4-the-cmd-as-a-distance-indicator" title="Link to this heading">#</a></h2>
 <p>Since the y-axis above is apparent magnitude, we can use the obvious features (e.g., main sequence curve) to translate the apparent magnitudes to absolute magnitudes (by comparing to published H-R diagrams given in absolute magnitudes) and measure the distance to Pleiades!</p>
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   <section id="hr-hertzsprung-russell-diagram-solution">
-<h1>HR (Hertzsprung-Russell) Diagram Solution<a class="headerlink" href="#hr-hertzsprung-russell-diagram-solution" title="Permalink to this headline">#</a></h1>
+<h1>HR (Hertzsprung-Russell) Diagram Solution<a class="headerlink" href="#hr-hertzsprung-russell-diagram-solution" title="Link to this heading">#</a></h1>
 <p>The <a class="reference external" href="https://en.wikipedia.org/wiki/Hertzsprung%E2%80%93Russell_diagram">Hertzsprung-Russell diagram</a> is a fundamental diagram in astronomy that displays important relationships between the stellar color (or temperature) and absolute brightness (or luminosity).</p>
 <p>In this exercise, we will use existing stellar catalogs to produce the H-R diagram.</p>
 <div class="cell docutils container">
@@ -502,11 +530,11 @@ <h1>HR (Hertzsprung-Russell) Diagram Solution<a class="headerlink" href="#hr-her
 </div>
 </div>
 <section id="step-1-find-appropriate-catalogs">
-<h2>Step 1: Find appropriate catalogs<a class="headerlink" href="#step-1-find-appropriate-catalogs" title="Permalink to this headline">#</a></h2>
+<h2>Step 1: Find appropriate catalogs<a class="headerlink" href="#step-1-find-appropriate-catalogs" title="Link to this heading">#</a></h2>
 <p>We want to find a star catalog that has the available data to produce the H-R diagram, i.e., the absolute magnitudes (or both apparent magnitudes AND distances, so we can calculate the absolute magnitudes) in two optical bands (e.g., B and V). This would give us color. Or we need B- OR V- band magnitude and the stellar temperature.</p>
 <p>To simplify this problem, we want to find a catalog of an open cluster of stars, where all the stars were born around the same time and are located in one cluster. This simplifies the issue of getting accurate distances to the stars. One famous cluster is the Pleiades in the constellation of Taurus. So first we start by searching for an existing catalog with data on Pleiades that will provide the necessary information about the stars: magnitudes in two bands (e.g., B and V), which can be used to measure color, or temperature of the star plus one magnitude.</p>
 <section id="data-discovery-steps">
-<h3>DATA DISCOVERY STEPS<a class="headerlink" href="#data-discovery-steps" title="Permalink to this headline">#</a></h3>
+<h3>DATA DISCOVERY STEPS<a class="headerlink" href="#data-discovery-steps" title="Link to this heading">#</a></h3>
 <p>Here is useful link for <a class="reference external" href="https://pyvo.readthedocs.io/en/latest/registry/index.html">how the pyvo registry search works</a>.</p>
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 </div>
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-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>137
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>142
 </pre></div>
 </div>
-<div class="output text_html"><div><i>Table length=137</i>
-<table id="table139800929859328" class="table-striped table-bordered table-condensed">
+<div class="output text_html"><div><i>Table length=142</i>
+<table id="table140573085590592" class="table-striped table-bordered table-condensed">
 <thead><tr><th>index</th><th>short_name</th><th>title</th><th>description</th><th>interfaces</th></tr></thead>
 <thead><tr><th>int64</th><th>str16</th><th>str55</th><th>str4800</th><th>str7</th></tr></thead>
 <tr><td>0</td><td>I/163</td><td>US Naval Observatory Pleiades Catalog</td><td>This catalog is a special subset of the Eichhorn et al. (1970) Pleiades catalog (see &lt;I/90&gt;) updated to B1950.0 positions and with proper motions added. It was prepared for the purpose of predicting occultations of Pleiades stars by the Moon, but is useful for general applications because it contains many faint stars not present in the current series of large astrometric catalogs.</td><td>tap#aux</td></tr>
 <tr><td>1</td><td>I/258</td><td>Pleiades positions and proper motions</td><td>Based on a preliminary reference catalogue, combined with the catalogues PPM, ACRS and those in Eichhorn et al (1970, Cat. &lt;I/90&gt;), Jones (1973A&amp;AS....9..313J) and Hertzsprung (1947AnLei..19a...1H), 33 exposures on 11 plates taken with the Zo-Se 40cm refractor (f=6895mm) in 86 years are reduced with the central overlapping technique, and high-precision positions and proper motions of 441 stars in the Pleiades astrometric standard region are obtained. The standard errors of star positions are less than +/-0.05arcsec, and the standard errors of proper motions for 90% stars in our reduction are less than +/-0.001arcsec/yr.</td><td>tap#aux</td></tr>
 <tr><td>2</td><td>I/90</td><td>Positions of 502 Stars in Pleiades Region</td><td>The catalog contains the positions (equinox B1900.0 and epoch B1955.0) of 502 stars in a region of about 1.5 degrees square in the Pleiades cluster, centered on Eta Tau. These coordinates have been derived from measurements of stellar images obtained with 65 exposures of various durations on 14 photographic plates with two telescopes at McCormick Observatory and Van Vleck Observatory. The plates were reduced by the plate overlap method, which resulted in a high degree of systematic accuracy in the final positions. Data in the machine version include Hertzsprung number, color index, photovisual magnitude, right ascension and declination and their standard errors, proper motion, and differences between the present position and previous works. Data for exposures, plates, and images measured, present in the published catalog, are not included in the machine version.</td><td>tap#aux</td></tr>
 <tr><td>3</td><td>II/131</td><td>Tonantzintla Pleiades Flare Stars</td><td>The original catalog lists the flare stars discovered by different astronomical observatories over an area slightly larger than 20 square degrees in the Pleiades regions centered on Alcyone. Not all the flare stars are members of this cluster, membership indicators are provided in the catalog. The catalog, combining Tables 1 and 2 of the publication, gives the data for 1531 flares of 519 flare stars.</td><td>tap#aux</td></tr>
-<tr><td>4</td><td>II/44</td><td>K-Line photometry of stars in Population I clusters</td><td>Photoelectric photometry of the K-line of calcium has been performed for the A stars of five open clusters (Hyades, Pleiades, IC 2391, IC 2602, and NGC 6475) and one association (Orion). All observations were carried out simultaneously with the field stars measurements in Paper II (II/43), with the 16-inch (40cm) and 36-inch (91cm) telescopes of the Cerro Tololo Inter-American Observatory, between May 1969 and January 1970.</td><td>tap#aux</td></tr>
-<tr><td>5</td><td>J/A+A/299/696</td><td>Pleiades field Membership probabilities</td><td>A catalogue of proper motions and photographic B,V magnitudes for stars up to B=19 mag within a region centered near Alcyone is presented. The catalogue is based on MAMA measurements of 8 plates taken with the Tautenburg Schmidt telescope. The survey includes ca. 14500 stars and covers a total field of about 9 square degrees. Membership probabilities, proper motions and B,V magnitudes are listed for 442 stars up to B=19 mag in the Pleiades field.</td><td>tap#aux</td></tr>
-<tr><td>6</td><td>J/A+A/320/74</td><td>Radial velocities of Pleiades members</td><td>The analysis of CORAVEL radial velocities of 93 stars selected on the basis of their proper motion and Geneva CCD photometric observations for 57 stars have permitted to identify 25 new members in the outer part of the Pleiades. Several spectroscopic binaries have been discovered, but their membership is not clear. Two orbits with short periods have been determined, but both stars are probably non-members. The total number of member stars in the outer part of the Pleiades in the spectral range F5-K0 (0.45&lt;B-V&lt;0.90) is now 81 which is comparable to the number of stars known in Hertzsprung&apos;s central area (88 stars) in the same spectral domain. Therefore at least 48% of the F5-K0 main-sequence stars are located in the outer part of the cluster. And the census is probably still incomplete.</td><td>tap#aux</td></tr>
-<tr><td>7</td><td>J/A+A/323/139</td><td>K magnitude of Pleiades low-mass binaries</td><td>This table provides the list of stars observed but not resolved during the diffraction-limited survey of G and K Pleiades dwarfs. Previously known binaries, either photometric or spectroscopic, are referenced.</td><td>tap#aux</td></tr>
-<tr><td>8</td><td>J/A+A/325/647</td><td>High-resolution spectra south of Taurus</td><td>Listed are results from our high-resolution data for all stars in our study area which were listed by either Magazzu et al. (1997A&amp;AS..124..449M) or Alcala et al. (1996A&amp;AS..119....7A), i.e. T Tauri candidates from the ROSAT All-Sky Survey. In table 1, we list all stars for which lithium was found either by Magazzu et al. (1997A&amp;AS..124..449M) or in our CASPEC spectra, as well as two stars identified as wTTS by Alcala et al. (1996A&amp;AS..119....7A). Listed are the designation, number of single-order echelle spectra taken, effective temperatures, projected rotational velocities, mean heliocentric radial velocities with errors, radial velocities in the local standard of rest, and remarks on variability in radial velocity as found in our high-resolution spectra. For comparison, we also list the results on spectral types of the stars (with `e&apos; for H{alpha} emission) as found by Magazzu et al. (1997A&amp;AS..124..449M) (or Alcala et al., 1996A&amp;AS..119....7A) with low- and medium-resolution spectroscopy. In the last two columns, we list the (NLTE) lithium abundance (given on a scale where logN(H)=12) and the lithium excess above the relevant Pleiades upper envelope; upper limits indicate stars where the Magazzu et al. (1997A&amp;AS..124..449M) spectra suffer from either low S/N or low resolution. In table 2, we list all stars where no lithium was detected -- neither by Magazzu et al. (1997A&amp;AS..124..449M) nor in our CASPEC spectra.</td><td>tap#aux</td></tr>
-<tr><td>9</td><td>J/A+A/329/101</td><td>Masses of Pleiades members</td><td>On the basis of the best available member list and duplicity information, we have studied the radial distribution of 270 stars and multiple systems earlier than K0 in the Pleiades. Five new long period spectroscopic binaries have been identified from the CORAVEL observations. We have found a clear mass segregation between binaries and single stars, which is explained by the greater average mass of the multiple systems. The mass function of the single stars and primaries appears to be significantly different. While the central part of the cluster is spherical, the outer part is clearly elliptical, with an ellipticity of 0.17. The various parameters describing the Pleiades are (for a distance of 125pc): core radius r_c_=0.6 deg (1.4pc), tidal radius r_t_=7.4 (16pc), half mass radius r_m/2_=0.88 (1.9pc), harmonic radius r=1.82 (4pc). Low-mass stars (later than K0) probably extend further out and new proper motion and radial velocity surveys over a larger area and to fainter magnitudes would be very important to improve the description of the cluster structure and complete mass function.</td><td>tap#aux</td></tr>
+<tr><td>4</td><td>II/43</td><td>K-line photometry of Southern A stars</td><td>The photoelectric measurements of the strength of the Calcium K-line has been extended by 223 stars of predominantly southern or equatorial declinations which are well distributed in right ascension. This has expanded the existent list to 369 field stars for which a k-index is available, including many more Am stars. All available k-index data for field stars are presented here. Introduction: The present work represents a continuation of that described previously (Henry 1968ApJ...152L..87H, 1969ApJS...18...47H = II/42, [hereinafter referenced as Paper I]), in which the K-line of calcium at 3933{AA} is measured photoelectrically in A-type stars with a narrow-band spectrometer. The result for each star is a K-line strength index, called k, the value of which appears to depend predominantly only on the temperature of the star and the abundance of calcium in its atmosphere. The temperature dependence is well known; the abundance dependence appears as a correlation between the residual dK in K (after allowance for the temperature effect) and the difference from normal of the general metallicity index [m1] of Stromgren. Alternatively, it was shown in Paper I that the calcium abundance is probably the effective factor in producing the scatter in the relation between k and b-y by a process of elimination of other parameters (luminosity, etc.) that were found not to affect appreciably the value of k. The value of k is, however, affected by a third parameter, namely, whether the star is an Am star or not. Many of the stars of Paper I were reobserved in order to tie in the new measurements with the old ones. An emphasis was laid on observing more Am stars, and on observing some stars that are of somewhat earlier spectral types than the earliest ones observed previously. Simultaneously with the field-star measurements described here, extensive data were acquired for the A stars in five open clusters (Hyades, Pleiades, IC 2391, IC 2602, and NGC 6475) and one association (Orion), as described in Paper III (Hesser &amp; Henry 1971ApJS...23..453H). The observations were made with the same instrument that was used to obtain the data for Paper I, and a description of the instrument may be found in that paper.</td><td>tap#aux</td></tr>
+<tr><td>5</td><td>II/44</td><td>K-Line photometry of stars in Population I clusters</td><td>Photoelectric photometry of the K-line of calcium has been performed for the A stars of five open clusters (Hyades, Pleiades, IC 2391, IC 2602, and NGC 6475) and one association (Orion). All observations were carried out simultaneously with the field stars measurements in Paper II (II/43), with the 16-inch (40cm) and 36-inch (91cm) telescopes of the Cerro Tololo Inter-American Observatory, between May 1969 and January 1970.</td><td>tap#aux</td></tr>
+<tr><td>6</td><td>J/A+A/299/696</td><td>Pleiades field Membership probabilities</td><td>A catalogue of proper motions and photographic B,V magnitudes for stars up to B=19 mag within a region centered near Alcyone is presented. The catalogue is based on MAMA measurements of 8 plates taken with the Tautenburg Schmidt telescope. The survey includes ca. 14500 stars and covers a total field of about 9 square degrees. Membership probabilities, proper motions and B,V magnitudes are listed for 442 stars up to B=19 mag in the Pleiades field.</td><td>tap#aux</td></tr>
+<tr><td>7</td><td>J/A+A/320/74</td><td>Radial velocities of Pleiades members</td><td>The analysis of CORAVEL radial velocities of 93 stars selected on the basis of their proper motion and Geneva CCD photometric observations for 57 stars have permitted to identify 25 new members in the outer part of the Pleiades. Several spectroscopic binaries have been discovered, but their membership is not clear. Two orbits with short periods have been determined, but both stars are probably non-members. The total number of member stars in the outer part of the Pleiades in the spectral range F5-K0 (0.45&lt;B-V&lt;0.90) is now 81 which is comparable to the number of stars known in Hertzsprung&apos;s central area (88 stars) in the same spectral domain. Therefore at least 48% of the F5-K0 main-sequence stars are located in the outer part of the cluster. And the census is probably still incomplete.</td><td>tap#aux</td></tr>
+<tr><td>8</td><td>J/A+A/323/139</td><td>K magnitude of Pleiades low-mass binaries</td><td>This table provides the list of stars observed but not resolved during the diffraction-limited survey of G and K Pleiades dwarfs. Previously known binaries, either photometric or spectroscopic, are referenced.</td><td>tap#aux</td></tr>
 <tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>
-<tr><td>127</td><td>2MASS 6XMPSIT</td><td>2MASS 6X Merged Point Source Information Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\n\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \n\nThe merged source tables contain the mean positions magnitudes and uncertainties for sources detected multiple times in each of the 2MASS data sets. The merging was carried out using an autocorrelation of the respective databases to identify groups of extractions that are positionally associated with each other, all lying within a 1.5&quot; radius circular region. A number of confirmation statistics are also provided in the tables that can be used to test for source motion and/or variability, and the general quality of the merge.</td><td>tap#aux</td></tr>
-<tr><td>128</td><td>2MASS 6XMXSIT</td><td>2MASS 6X Merged Extended Source Information Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\n\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \n\nThe merged source tables contain the mean positions magnitudes and uncertainties for sources detected multiple times in each of the 2MASS data sets. The merging was carried out using an autocorrelation of the respective databases to identify groups of extractions that are positionally associated with each other, all lying within a 1.5&quot; radius circular region. A number of confirmation statistics are also provided in the tables that can be used to test for source motion and/or variability, and the general quality of the merge.</td><td>tap#aux</td></tr>
-<tr><td>129</td><td>2MASS 6XPSWDB</td><td>2MASS 6X Point Source Working Database Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\n\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \n\nData processing produced a 6x Image Atlas and 6x point and extended source Working Databases (6x-PSWDB and 6x-XSWDB), analogous to those from the main survey. &quot;Catalogs&quot; of point and extended source detections (6x-PSC and 6x-XSC) that represent uniform, higher reliability single-epoch snapshots of the near infrared sky were drawn from the 6x WDBs using SNR and quality criteria similar to those used to construct the All-Sky Release PSC and XSC (A3.6.c). The 6x-PSC and 6x-XSC have not received the same level of scrutiny and validation as the 2MASS All-Sky PSC and XSC, though.\n\nUnlike the All-Sky Release Catalogs, the 6x Catalogs are not released as separate tables. The 6x Point and Extended Source Catalogs are instead integrated into the respective 6x Point and Extended Source WDBs. Sources comprising the Catalogs are denoted in the WDBs with the cat flag, and have cat=&quot;1&quot;.</td><td>tap#aux</td></tr>
-<tr><td>130</td><td>2MASS 6XScanInfo</td><td>2MASS 6X Scan Information Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\n\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \n\nThe 6X Scan Information Table provides basic metadata for each survey mode scan taken during 2MASS 6x observations.</td><td>tap#aux</td></tr>
-<tr><td>131</td><td>2MASS 6XXSWDB</td><td>2MASS 6X Extended Source Working Database Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\n\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \n\nData processing produced a 6x Image Atlas and 6x point and extended source Working Databases (6x-PSWDB and 6x-XSWDB), analogous to those from the main survey. &quot;Catalogs&quot; of point and extended source detections (6x-PSC and 6x-XSC) that represent uniform, higher reliability single-epoch snapshots of the near infrared sky were drawn from the 6x WDBs using SNR and quality criteria similar to those used to construct the All-Sky Release PSC and XSC (A3.6.c). The 6x-PSC and 6x-XSC have not received the same level of scrutiny and validation as the 2MASS All-Sky PSC and XSC, though.\n\nUnlike the All-Sky Release Catalogs, the 6x Catalogs are not released as separate tables. The 6x Point and Extended Source Catalogs are instead integrated into the respective 6x Point and Extended Source WDBs. Sources comprising the Catalogs are denoted in the WDBs with the cat flag, and have cat=&quot;1&quot;.</td><td>tap#aux</td></tr>
-<tr><td>132</td><td>NGC2516XMM</td><td>NGC 2516 Cluster XMM-Newton X-Ray Point Source Catalog</td><td>This table contains the results from a deep X-ray survey of the young (~ 140 Myr), rich open cluster NGC 2516 obtained with the EPIC camera on board the XMM-Newton satellite. By combining the data from six observations, a high sensitivity, greater than a factor of 5 with respect to recent Chandra observations, has been achieved. Kaplan-Meier estimators of the cumulative X-ray luminosity distribution, statistically corrected for non-member contaminants, were built by the authors and compared to those of the nearly coeval Pleiades cluster. 431 X-ray sources were detected, and 234 of them have as optical counterparts cluster stars spanning the entire NGC 2516 main sequence. On the basis of X-ray emission and optical photometry, 20 new candidate members of the cluster have been identified; at the same time there are 49 X-ray sources without known optical or infrared counterpart. The X-ray luminosities of cluster stars span the range log L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; (erg s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;) = 28.4 - 30.8. The representative coronal temperatures span the 0.3 - 0.6 keV (3.5 - 8 MK) range for the cool component and 1.0 - 2.0 keV (12 - 23 MK) for the hot one; similar values were found in other young open clusters like the Pleiades, IC 2391, and Blanco 1. While no significant differences were found in their X-ray spectra, NGC 2516 solar-type stars are definitely less luminous in X-rays than their nearly coeval Pleiades counterparts. The comparison with a previous ROSAT survey reveals the lack of variability amplitudes larger than a factor of 2 in solar-type cluster stars in a ~ 11 yr time scale, and thus activity cycles like in the Sun are probably absent or have a different period and amplitude in young stars. NGC 2516 has been observed several times with XMM-Newton during the first two years of satellite operations for calibration purposes. The observations used in this analysis span a period of 19 months with exposure times between 10 and 20 ks. All of these observations have been performed with the thick filter. In the combined EPIC datasets the authors detected 431 X-ray sources with a significance level greater than 5.0 sigma, which should lead statistically to at most one spurious source in the field of view.</td><td>tap#aux</td></tr>
-<tr><td>133</td><td>NGC2547XMM</td><td>NGC 2547 XMM-Newton X-Ray Point Source Catalog</td><td>This table contains a list of point sources detected by XMM-Newton EPIC in a pointing towards the young open cluster NGC 2547, made in order to allow the authors to characterize coronal activity in solar-type stars, and stars of lower mass, at an age of 30 Myr. X-ray emission was seen from stars at all spectral types, peaking among G stars at luminosities (0.3 - 3 keV) of L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; ~= 10&amp;lt;sup&amp;gt;30.5&amp;lt;/sup&amp;gt; erg/s and declining to L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; &amp;lt;= 10&amp;lt;sup&amp;gt;29&amp;lt;/sup&amp;gt; erg/s among M stars with masses &amp;gt;=0.2 solar masses. Coronal spectra show evidence for multi-temperature differential emission measures and low coronal metal abundances of Z~= 0.3. Most of the solar-type stars in NGC 2547 exhibit saturated or even supersaturated X-ray activity levels. The median levels of L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; and L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt;/L&amp;lt;sub&amp;gt;bol&amp;lt;/sub&amp;gt; in the solar-type stars of NGC 2547 are very similar to those in T-Tauri stars of the Orion Nebula cluster (ONC), but an order of magnitude higher than in the older Pleiades. The spread in X-ray activity levels among solar-type stars in NGC 2547 is much smaller than in older or younger clusters. This table contains the properties of those X-ray sources which are correlated with optical cluster members (see Section 2.2 of the reference paper for details on the correlation procedure that was adopted), as well as the properties of those X-ray sources which are uncorrelated with any optical cluster members. The table lists the cross-identifications with optical catalogs for the candidate cluster sources along with their X-ray luminosities and X-ray to bolometric flux ratios, as well as the correlations between cluster members which were detected by XMM-Newton and those detected 7 years earlier by the ROSAT HRI instrument, along with the X-ray luminosities and flux ratios as determined by the HRI.</td><td>tap#aux</td></tr>
-<tr><td>134</td><td>NGC752CXO</td><td>NGC 752 Chandra X-Ray Point Source Catalog</td><td>This table provides a list of X-ray sources detected in a ~140 ks Chandra X-ray observation of the open cluster NGC 752. For the sources with 2MASS counterparts, the values of their magnitudes in the J, H and K bands are also given. Very little is known about the evolution of stellar activity between the ages of the Hyades (0.8 Gyr) and the Sun (4.6 Gyr). To gain information on the typical level of coronal activity at a star&amp;#39;s intermediate age, the authors have studied the X-ray emission from stars in the 1.9 Gyr-old open cluster NGC 752. They analyzed a ~ 140 ks Chandra observation of NGC 752 and a ~50 ks XMM-Newton observation of the same cluster. They detected 262 X-ray sources in the Chandra data and 145 sources in the XMM-Newton observation. Around 90% of the catalogued cluster members within Chandr&amp;aacute;s field of view are detected in the X-ray observation. The X-ray luminosity of all observed cluster members (28 stars) and of 11 cluster member candidates was derived. These data indicate that, at an age of 1.9 Gyr, the typical X-ray luminosity L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of the cluster members with masses of 0.8 to 1.2 solar masses is 1.3 x 10&amp;lt;sup&amp;gt;28&amp;lt;/sup&amp;gt; erg s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;, which is approximately a factor of 6 times less intense than that observed in the younger Hyades. Given that L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; is proportional to the square of a star&amp;#39;s rotational rate, the median L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of NGC 752 is consistent, for t &amp;gt;= 1 Gyr, with a decaying rate in rotational velocities v&amp;lt;sub&amp;gt;rot&amp;lt;/sub&amp;gt; ~ t&amp;lt;sup&amp;gt;-alpha&amp;lt;/sup&amp;gt; with alpha ~ 0.75, steeper than the Skumanich relation (alpha ~ 0.5) and significantly steeper than that observed between the Pleiades and the Hyades (where alpha &amp;lt;0.3), suggesting that a change in the rotational regimes of the stellar interiors is taking place at an age of ~ 1 Gyr. The 135 ks observation of NGC 752 was performed by the Chandra ACIS camera on September 29, 2003 starting at 21:11:59 UT. The X-ray source detection was performed on the event list using the Wavelet Transform detection algorithm developed at Palermo Astronomical Observatory PWDETECT, available at &amp;lt;a href=&quot;http://oapa.astropa.unipa.it/progetti_ricerca/PWDetect&quot;&amp;gt;http://oapa.astropa.unipa.it/progetti_ricerca/PWDetect&amp;lt;/a&amp;gt;. Initially, the energy range 0.2 - 10 keV was selected and the threshold for source detection was taken as to ensure a maximum of 1-2 spurious sources per field. 169 sources were detected in this way. The analysis of these sources hardness ratios showed, however, that all the catalogued stars in the field had low hardness ratios, HR &amp;lt; ~ 0.2, where HR is the number of photons in the 2 - 8 keV band over the number in the 0.5 - 2 keV band. Thus, to maximize the detection of stellar sources, PWDETECT was applied to the event list in the energy range from 0.5 - 2 keV. Using a detection threshold which ensures less than 1 spurious source per field leads to the detection of 188 sources, while lowering this threshold to 10 spurious sources per field, allows 262 sources to be identified in this energy range. This is a significant increase (well above the number expected if all the additional sources were spurious), thus the authors retained this list of 262 sources as their final list of sources in the NGC 752 field, with the caveat that ~ 10 sources among them are likely spurious. Note that the existence of ~ 10 spurious sources in the list is not so much of a problem in this context, because cluster members or candidate members are identified by the existence of a visible or near-IR counterpart. The authors searched for 2MASS counterparts to the X-ray sources using the 2MASS Point Source Catalogue (PSC) and a search radius of 3 arcsec and found a counterpart for 43 sources. Searching within the Point Source Reject Table of the 2MASS Extended Mission leads to the further identification of 1 counterpart (source number 87).</td><td>tap#aux</td></tr>
-<tr><td>135</td><td>NGC752XMM</td><td>NGC 752 XMM-Newton X-Ray Point Source Catalog</td><td>This table provides a list of X-ray sources detected in a ~50 ks XMM-Newton X-ray observation of the open cluster NGC 752. For the sources with 2MASS counterparts, the values of their magnitudes in the J, H and K bands are also given. Additionally, for the sources with a Chandra counterpart (within a search radius of 5 arcsec), the values of their Chandra source number (as given in the related Browse table NGC752CXO) are also given. Very little is known about the evolution of stellar activity between the ages of the Hyades (0.8 Gyr) and the Sun (4.6 Gyr). To gain information on the typical level of coronal activity at a star&amp;#39;s intermediate age, the authors have studied the X-ray emission from stars in the 1.9 Gyr-old open cluster NGC 752. They analyzed a ~ 140 ks Chandra observation of NGC 752 and a ~50 ks XMM-Newton observation of the same cluster. They detected 262 X-ray sources in the Chandra data and 145 sources in the XMM-Newton observation. Around 90% of the catalogued cluster members within Chandr&amp;aacute;s field of view are detected in the X-ray observation. The X-ray luminosity of all observed cluster members (28 stars) and of 11 cluster member candidates was derived. These data indicate that, at an age of 1.9 Gyr, the typical X-ray luminosity L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of the cluster members with masses of 0.8 to 1.2 solar masses is 1.3 x 10&amp;lt;sup&amp;gt;28&amp;lt;/sup&amp;gt; erg s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;, which is approximately a factor of 6 times less intense than that observed in the younger Hyades. Given that L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; is proportional to the square of a star&amp;#39;s rotational rate, the median L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of NGC 752 is consistent, for t &amp;gt;= 1 Gyr, with a decaying rate in rotational velocities v&amp;lt;sub&amp;gt;rot&amp;lt;/sub&amp;gt; ~ t&amp;lt;sup&amp;gt;-alpha&amp;lt;/sup&amp;gt; with alpha ~ 0.75, steeper than the Skumanich relation (alpha ~ 0.5) and significantly steeper than that observed between the Pleiades and the Hyades (where alpha &amp;lt;0.3), suggesting that a change in the rotational regimes of the stellar interiors is taking place at an age of ~ 1 Gyr. NGC 752 was observed for 49 ks by the XMM-Newton EPIC camera on February 5, 2003 starting at 23:29:25 UT, and the nominal pointing was towards J2000.0 RA and Declination of (01:57:38, +37:47:60), thus the XMM-Newton field-of-view (FOV) includes the Chandra FOV. For the source detection, the authors used the PWXDETECT code developed at Palermo Observatory and derived from the analogous Chandra PWDETECT code based on wavelet transform analysis. This allows the three EPIC exposures (PN, MOS1 and MOS2) to be combined in order to gain a deeper sensitivity with respect to the source detection based on single images. There were 145 point sources detected in the energy band 0.5 - 2.0 keV. An extended source (not listed in this present table), very likely a galaxy cluster, is also visible in the EPIC data. The authors searched for 2MASS counterparts to the XMM-Newton sources using a search radius of 5 arcsec and found a counterpart for 38 sources. As for the Chandra data, all sources with a visible counterpart from DLM94 have also a 2MASS counterpart, so this leaves 15 XMM-Newton sources with a 2MASS counterpart and no counterpart in Daniel et al. (1994, PASP, 106, 281); of these, 3 were also detected by Chandra; of the other 12, 10 are outside the Chandra FOV, while two are within it (XMM-Newton sources 58 and 65). Source 65 was caught by XMM-Newton during the decay phase of a flare, which explains why it is not detected in the Chandra data. For source 58 there is no immediate explanation for this, since the light curve does not show evidence of a flare. No additional near-IR counterpart to the XMM-Newton sources was found within the Point Source Reject Table of the 2MASS Extended Mission.</td><td>tap#aux</td></tr>
-<tr><td>136</td><td>PSPC/Pleiades</td><td>ROSAT PSPC Catalog of the Pleiades (Micela et al. 1996)</td><td>This catalog contains the results of a deep X-ray survey of the core region of the Pleiades open cluster carried out with ROSAT. In a single PSPC field (~1 degree in radius), 99 of 214 Pleiades stars are detected in X-rays, and upper limits are computed for the remainder. This catalog lists the characteristics of these stars taken from the literature, including their rotational data, as well as their X-ray characteristics. The nucleus of the composite catalog used in this study is the catalog compiled from the published literature for the Einstein investigations of the Pleiades (Micela et al. 1990, ApJ, 348, 557). This list has been extended by the results of recent surveys to a completeness limit of visual magnitude of about 18.</td><td>tap#aux</td></tr>
+<tr><td>132</td><td>2MASS 6XMPSIT</td><td>2MASS 6X Merged Point Source Information Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\n\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \n\nThe merged source tables contain the mean positions magnitudes and uncertainties for sources detected multiple times in each of the 2MASS data sets. The merging was carried out using an autocorrelation of the respective databases to identify groups of extractions that are positionally associated with each other, all lying within a 1.5&quot; radius circular region. A number of confirmation statistics are also provided in the tables that can be used to test for source motion and/or variability, and the general quality of the merge.</td><td>tap#aux</td></tr>
+<tr><td>133</td><td>2MASS 6XMXSIT</td><td>2MASS 6X Merged Extended Source Information Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\n\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \n\nThe merged source tables contain the mean positions magnitudes and uncertainties for sources detected multiple times in each of the 2MASS data sets. The merging was carried out using an autocorrelation of the respective databases to identify groups of extractions that are positionally associated with each other, all lying within a 1.5&quot; radius circular region. A number of confirmation statistics are also provided in the tables that can be used to test for source motion and/or variability, and the general quality of the merge.</td><td>tap#aux</td></tr>
+<tr><td>134</td><td>2MASS 6XPSWDB</td><td>2MASS 6X Point Source Working Database Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\n\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \n\nData processing produced a 6x Image Atlas and 6x point and extended source Working Databases (6x-PSWDB and 6x-XSWDB), analogous to those from the main survey. &quot;Catalogs&quot; of point and extended source detections (6x-PSC and 6x-XSC) that represent uniform, higher reliability single-epoch snapshots of the near infrared sky were drawn from the 6x WDBs using SNR and quality criteria similar to those used to construct the All-Sky Release PSC and XSC (A3.6.c). The 6x-PSC and 6x-XSC have not received the same level of scrutiny and validation as the 2MASS All-Sky PSC and XSC, though.\n\nUnlike the All-Sky Release Catalogs, the 6x Catalogs are not released as separate tables. The 6x Point and Extended Source Catalogs are instead integrated into the respective 6x Point and Extended Source WDBs. Sources comprising the Catalogs are denoted in the WDBs with the cat flag, and have cat=&quot;1&quot;.</td><td>tap#aux</td></tr>
+<tr><td>135</td><td>2MASS 6XScanInfo</td><td>2MASS 6X Scan Information Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\n\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \n\nThe 6X Scan Information Table provides basic metadata for each survey mode scan taken during 2MASS 6x observations.</td><td>tap#aux</td></tr>
+<tr><td>136</td><td>2MASS 6XXSWDB</td><td>2MASS 6X Extended Source Working Database Table</td><td>During the final months of 2MASS observatory operations, a campaign of targeted &quot;long exposure&quot; observations was carried out during times when no previously unscanned parts of the sky were available for the main survey. These observations used the same freeze-frame scanning technique employed for the survey, but with READ2-READ1 exposures six times longer than was used for normal survey observations (hence they are referred to as &quot;6x&quot; observations). The 2MASS 6x measurements were intended to probe ~1 magnitude deeper than the main survey in unconfused regions.\n\nApproximately 590 deg2 of sky distributed in 30 targeted regions were scanned at least once using the long exposures. Most of this area is concentrated in two large, comprehensive surveys of the Large and Small Magellanic Clouds, 383 deg2 and 127 deg2, respectively. Twenty-eight additional smaller fields were mapped in the 6x mode from both observatories, covering targets that include the Pleiades open cluster, galactic star formation complexes, M31, nearby galaxy clusters and the Lockman Hole. \n\nData processing produced a 6x Image Atlas and 6x point and extended source Working Databases (6x-PSWDB and 6x-XSWDB), analogous to those from the main survey. &quot;Catalogs&quot; of point and extended source detections (6x-PSC and 6x-XSC) that represent uniform, higher reliability single-epoch snapshots of the near infrared sky were drawn from the 6x WDBs using SNR and quality criteria similar to those used to construct the All-Sky Release PSC and XSC (A3.6.c). The 6x-PSC and 6x-XSC have not received the same level of scrutiny and validation as the 2MASS All-Sky PSC and XSC, though.\n\nUnlike the All-Sky Release Catalogs, the 6x Catalogs are not released as separate tables. The 6x Point and Extended Source Catalogs are instead integrated into the respective 6x Point and Extended Source WDBs. Sources comprising the Catalogs are denoted in the WDBs with the cat flag, and have cat=&quot;1&quot;.</td><td>tap#aux</td></tr>
+<tr><td>137</td><td>NGC2516XMM</td><td>NGC 2516 Cluster XMM-Newton X-Ray Point Source Catalog</td><td>This table contains the results from a deep X-ray survey of the young (~ 140 Myr), rich open cluster NGC 2516 obtained with the EPIC camera on board the XMM-Newton satellite. By combining the data from six observations, a high sensitivity, greater than a factor of 5 with respect to recent Chandra observations, has been achieved. Kaplan-Meier estimators of the cumulative X-ray luminosity distribution, statistically corrected for non-member contaminants, were built by the authors and compared to those of the nearly coeval Pleiades cluster. 431 X-ray sources were detected, and 234 of them have as optical counterparts cluster stars spanning the entire NGC 2516 main sequence. On the basis of X-ray emission and optical photometry, 20 new candidate members of the cluster have been identified; at the same time there are 49 X-ray sources without known optical or infrared counterpart. The X-ray luminosities of cluster stars span the range log L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; (erg s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;) = 28.4 - 30.8. The representative coronal temperatures span the 0.3 - 0.6 keV (3.5 - 8 MK) range for the cool component and 1.0 - 2.0 keV (12 - 23 MK) for the hot one; similar values were found in other young open clusters like the Pleiades, IC 2391, and Blanco 1. While no significant differences were found in their X-ray spectra, NGC 2516 solar-type stars are definitely less luminous in X-rays than their nearly coeval Pleiades counterparts. The comparison with a previous ROSAT survey reveals the lack of variability amplitudes larger than a factor of 2 in solar-type cluster stars in a ~ 11 yr time scale, and thus activity cycles like in the Sun are probably absent or have a different period and amplitude in young stars. NGC 2516 has been observed several times with XMM-Newton during the first two years of satellite operations for calibration purposes. The observations used in this analysis span a period of 19 months with exposure times between 10 and 20 ks. All of these observations have been performed with the thick filter. In the combined EPIC datasets the authors detected 431 X-ray sources with a significance level greater than 5.0 sigma, which should lead statistically to at most one spurious source in the field of view. This table was created by the HEASARC in May 2007 based on &amp;lt;a href=&quot;https://cdsarc.cds.unistra.fr/ftp/cats/J/A+A/450/993&quot;&amp;gt;CDS catalog J/A+A/450/993&amp;lt;/a&amp;gt; files tablea1.dat and tableb1.dat. This is a service provided by NASA HEASARC .</td><td>tap#aux</td></tr>
+<tr><td>138</td><td>NGC2547XMM</td><td>NGC 2547 XMM-Newton X-Ray Point Source Catalog</td><td>This table contains a list of point sources detected by XMM-Newton EPIC in a pointing towards the young open cluster NGC 2547, made in order to allow the authors to characterize coronal activity in solar-type stars, and stars of lower mass, at an age of 30 Myr. X-ray emission was seen from stars at all spectral types, peaking among G stars at luminosities (0.3 - 3 keV) of L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; ~= 10&amp;lt;sup&amp;gt;30.5&amp;lt;/sup&amp;gt; erg/s and declining to L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; &amp;lt;= 10&amp;lt;sup&amp;gt;29&amp;lt;/sup&amp;gt; erg/s among M stars with masses &amp;gt;=0.2 solar masses. Coronal spectra show evidence for multi-temperature differential emission measures and low coronal metal abundances of Z~= 0.3. Most of the solar-type stars in NGC 2547 exhibit saturated or even supersaturated X-ray activity levels. The median levels of L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; and L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt;/L&amp;lt;sub&amp;gt;bol&amp;lt;/sub&amp;gt; in the solar-type stars of NGC 2547 are very similar to those in T-Tauri stars of the Orion Nebula cluster (ONC), but an order of magnitude higher than in the older Pleiades. The spread in X-ray activity levels among solar-type stars in NGC 2547 is much smaller than in older or younger clusters. This table contains the properties of those X-ray sources which are correlated with optical cluster members (see Section 2.2 of the reference paper for details on the correlation procedure that was adopted), as well as the properties of those X-ray sources which are uncorrelated with any optical cluster members. The table lists the cross-identifications with optical catalogs for the candidate cluster sources along with their X-ray luminosities and X-ray to bolometric flux ratios, as well as the correlations between cluster members which were detected by XMM-Newton and those detected 7 years earlier by the ROSAT HRI instrument, along with the X-ray luminosities and flux ratios as determined by the HRI. This table was created by the HEASARC in February 2007 based on CDS Catalog J/MNRAS/367/781 files table1.dat, table2.dat, table3.dat and table7.dat. This is a service provided by NASA HEASARC .</td><td>tap#aux</td></tr>
+<tr><td>139</td><td>NGC752CXO</td><td>NGC 752 Chandra X-Ray Point Source Catalog</td><td>This table provides a list of X-ray sources detected in a ~140 ks Chandra X-ray observation of the open cluster NGC 752. For the sources with 2MASS counterparts, the values of their magnitudes in the J, H and K bands are also given. Very little is known about the evolution of stellar activity between the ages of the Hyades (0.8 Gyr) and the Sun (4.6 Gyr). To gain information on the typical level of coronal activity at a star&amp;#39;s intermediate age, the authors have studied the X-ray emission from stars in the 1.9 Gyr-old open cluster NGC 752. They analyzed a ~ 140 ks Chandra observation of NGC 752 and a ~50 ks XMM-Newton observation of the same cluster. They detected 262 X-ray sources in the Chandra data and 145 sources in the XMM-Newton observation. Around 90% of the catalogued cluster members within Chandr&amp;aacute;s field of view are detected in the X-ray observation. The X-ray luminosity of all observed cluster members (28 stars) and of 11 cluster member candidates was derived. These data indicate that, at an age of 1.9 Gyr, the typical X-ray luminosity L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of the cluster members with masses of 0.8 to 1.2 solar masses is 1.3 x 10&amp;lt;sup&amp;gt;28&amp;lt;/sup&amp;gt; erg s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;, which is approximately a factor of 6 times less intense than that observed in the younger Hyades. Given that L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; is proportional to the square of a star&amp;#39;s rotational rate, the median L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of NGC 752 is consistent, for t &amp;gt;= 1 Gyr, with a decaying rate in rotational velocities v&amp;lt;sub&amp;gt;rot&amp;lt;/sub&amp;gt; ~ t&amp;lt;sup&amp;gt;-alpha&amp;lt;/sup&amp;gt; with alpha ~ 0.75, steeper than the Skumanich relation (alpha ~ 0.5) and significantly steeper than that observed between the Pleiades and the Hyades (where alpha &amp;lt;0.3), suggesting that a change in the rotational regimes of the stellar interiors is taking place at an age of ~ 1 Gyr. The 135 ks observation of NGC 752 was performed by the Chandra ACIS camera on September 29, 2003 starting at 21:11:59 UT. The X-ray source detection was performed on the event list using the Wavelet Transform detection algorithm developed at Palermo Astronomical Observatory PWDETECT, available at &amp;lt;a href=&quot;http://oapa.astropa.unipa.it/progetti_ricerca/PWDetect&quot;&amp;gt;http://oapa.astropa.unipa.it/progetti_ricerca/PWDetect&amp;lt;/a&amp;gt;. Initially, the energy range 0.2 - 10 keV was selected and the threshold for source detection was taken as to ensure a maximum of 1-2 spurious sources per field. 169 sources were detected in this way. The analysis of these sources hardness ratios showed, however, that all the catalogued stars in the field had low hardness ratios, HR &amp;lt; ~ 0.2, where HR is the number of photons in the 2 - 8 keV band over the number in the 0.5 - 2 keV band. Thus, to maximize the detection of stellar sources, PWDETECT was applied to the event list in the energy range from 0.5 - 2 keV. Using a detection threshold which ensures less than 1 spurious source per field leads to the detection of 188 sources, while lowering this threshold to 10 spurious sources per field, allows 262 sources to be identified in this energy range. This is a significant increase (well above the number expected if all the additional sources were spurious), thus the authors retained this list of 262 sources as their final list of sources in the NGC 752 field, with the caveat that ~ 10 sources among them are likely spurious. Note that the existence of ~ 10 spurious sources in the list is not so much of a problem in this context, because cluster members or candidate members are identified by the existence of a visible or near-IR counterpart. The authors searched for 2MASS counterparts to the X-ray sources using the 2MASS Point Source Catalogue (PSC) and a search radius of 3 arcsec and found a counterpart for 43 sources. Searching within the Point Source Reject Table of the 2MASS Extended Mission leads to the further identification of 1 counterpart (source number 87). This table was created by the HEASARC in October 2008 based on the electronic version of Table 6 from the reference paper which was obtained from the CDS website, i.e., their catalog J/A+A/490/113 file table6.dat. This is a service provided by NASA HEASARC .</td><td>tap#aux</td></tr>
+<tr><td>140</td><td>NGC752XMM</td><td>NGC 752 XMM-Newton X-Ray Point Source Catalog</td><td>This table provides a list of X-ray sources detected in a ~50 ks XMM-Newton X-ray observation of the open cluster NGC 752. For the sources with 2MASS counterparts, the values of their magnitudes in the J, H and K bands are also given. Additionally, for the sources with a Chandra counterpart (within a search radius of 5 arcsec), the values of their Chandra source number (as given in the related Browse table NGC752CXO) are also given. Very little is known about the evolution of stellar activity between the ages of the Hyades (0.8 Gyr) and the Sun (4.6 Gyr). To gain information on the typical level of coronal activity at a star&amp;#39;s intermediate age, the authors have studied the X-ray emission from stars in the 1.9 Gyr-old open cluster NGC 752. They analyzed a ~ 140 ks Chandra observation of NGC 752 and a ~50 ks XMM-Newton observation of the same cluster. They detected 262 X-ray sources in the Chandra data and 145 sources in the XMM-Newton observation. Around 90% of the catalogued cluster members within Chandr&amp;aacute;s field of view are detected in the X-ray observation. The X-ray luminosity of all observed cluster members (28 stars) and of 11 cluster member candidates was derived. These data indicate that, at an age of 1.9 Gyr, the typical X-ray luminosity L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of the cluster members with masses of 0.8 to 1.2 solar masses is 1.3 x 10&amp;lt;sup&amp;gt;28&amp;lt;/sup&amp;gt; erg s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;, which is approximately a factor of 6 times less intense than that observed in the younger Hyades. Given that L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; is proportional to the square of a star&amp;#39;s rotational rate, the median L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of NGC 752 is consistent, for t &amp;gt;= 1 Gyr, with a decaying rate in rotational velocities v&amp;lt;sub&amp;gt;rot&amp;lt;/sub&amp;gt; ~ t&amp;lt;sup&amp;gt;-alpha&amp;lt;/sup&amp;gt; with alpha ~ 0.75, steeper than the Skumanich relation (alpha ~ 0.5) and significantly steeper than that observed between the Pleiades and the Hyades (where alpha &amp;lt;0.3), suggesting that a change in the rotational regimes of the stellar interiors is taking place at an age of ~ 1 Gyr. NGC 752 was observed for 49 ks by the XMM-Newton EPIC camera on February 5, 2003 starting at 23:29:25 UT, and the nominal pointing was towards J2000.0 RA and Declination of (01:57:38, +37:47:60), thus the XMM-Newton field-of-view (FOV) includes the Chandra FOV. For the source detection, the authors used the PWXDETECT code developed at Palermo Observatory and derived from the analogous Chandra PWDETECT code based on wavelet transform analysis. This allows the three EPIC exposures (PN, MOS1 and MOS2) to be combined in order to gain a deeper sensitivity with respect to the source detection based on single images. There were 145 point sources detected in the energy band 0.5 - 2.0 keV. An extended source (not listed in this present table), very likely a galaxy cluster, is also visible in the EPIC data. The authors searched for 2MASS counterparts to the XMM-Newton sources using a search radius of 5 arcsec and found a counterpart for 38 sources. As for the Chandra data, all sources with a visible counterpart from DLM94 have also a 2MASS counterpart, so this leaves 15 XMM-Newton sources with a 2MASS counterpart and no counterpart in Daniel et al. (1994, PASP, 106, 281); of these, 3 were also detected by Chandra; of the other 12, 10 are outside the Chandra FOV, while two are within it (XMM-Newton sources 58 and 65). Source 65 was caught by XMM-Newton during the decay phase of a flare, which explains why it is not detected in the Chandra data. For source 58 there is no immediate explanation for this, since the light curve does not show evidence of a flare. No additional near-IR counterpart to the XMM-Newton sources was found within the Point Source Reject Table of the 2MASS Extended Mission. This table was created by the HEASARC in October 2008 based on the electronic version of Table 7 from the reference paper which was obtained from the CDS website, i.e., their catalog J/A+A/490/113 file table7.dat. This is a service provided by NASA HEASARC .</td><td>tap#aux</td></tr>
+<tr><td>141</td><td>PSPC/Pleiades</td><td>ROSAT PSPC Catalog of the Pleiades (Micela et al. 1996)</td><td>This catalog contains the results of a deep X-ray survey of the core region of the Pleiades open cluster carried out with ROSAT. In a single PSPC field (~1 degree in radius), 99 of 214 Pleiades stars are detected in X-rays, and upper limits are computed for the remainder. This catalog lists the characteristics of these stars taken from the literature, including their rotational data, as well as their X-ray characteristics. The nucleus of the composite catalog used in this study is the catalog compiled from the published literature for the Einstein investigations of the Pleiades (Micela et al. 1990, ApJ, 348, 557). This list has been extended by the results of recent surveys to a completeness limit of visual magnitude of about 18. This database was created at the HEASARC in April 2002 based on the ADC/&amp;lt;a href=&quot;https://cdsarc.cds.unistra.fr/ftp/cats/J/ApJS/102/75&quot;&amp;gt;CDS Catalog J/ApJS/102/75&amp;lt;/a&amp;gt; and is derived from Tables 1 and 5 of the published paper. This is a service provided by NASA HEASARC .</td><td>tap#aux</td></tr>
 </table></div></div></div>
 </div>
 <p>Note: The includeaux=True includes auxiliary services.</p>
 <p>Because we specified the service type, this returns only the TAP services for each of the avalible resorces matching our search criteria.  So, the ‘interfaces’ column will only show TAP service as an avalible service, even if other services are avalible from the same resource. We know we need the service to be a TAP service since we know that we want to eventually access the search using additional column information (i.e., beyond RA and Dec, which is all that Simple Cone Search returns).</p>
 <section id="next-we-need-to-find-which-of-these-has-the-columns-of-interest-i-e-magnitudes-in-two-bands-to-create-the-color-magnitude-diagram">
-<h4>Next, we need to find which of these has the columns of interest, i.e. magnitudes in two bands to create the color-magnitude diagram<a class="headerlink" href="#next-we-need-to-find-which-of-these-has-the-columns-of-interest-i-e-magnitudes-in-two-bands-to-create-the-color-magnitude-diagram" title="Permalink to this headline">#</a></h4>
+<h4>Next, we need to find which of these has the columns of interest, i.e. magnitudes in two bands to create the color-magnitude diagram<a class="headerlink" href="#next-we-need-to-find-which-of-these-has-the-columns-of-interest-i-e-magnitudes-in-two-bands-to-create-the-color-magnitude-diagram" title="Link to this heading">#</a></h4>
 <p>We can re-run the registry search, but further restrict the results by column UCD.  We want tables that have magnitude columns; the most basic UCD to describe a magnitude column is phot.mag</p>
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@@ -561,7 +588,7 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
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-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>91
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>94
 </pre></div>
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@@ -576,11 +603,12 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
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-<div class="output text_html">&lt;MaskedColumn name=&apos;ivoid&apos; dtype=&apos;object&apos; description=&apos;Unambiguous reference to the resource conforming to the IVOA standard for identifiers.&apos; length=91&gt;
+<div class="output text_html">&lt;MaskedColumn name=&apos;ivoid&apos; dtype=&apos;object&apos; description=&apos;Unambiguous reference to the resource conforming to the IVOA standard for identifiers.&apos; length=94&gt;
 <table>
 <tr><td>ivo://cds.vizier/i/163</td></tr>
 <tr><td>ivo://cds.vizier/i/90</td></tr>
 <tr><td>ivo://cds.vizier/ii/131</td></tr>
+<tr><td>ivo://cds.vizier/ii/43</td></tr>
 <tr><td>ivo://cds.vizier/ii/44</td></tr>
 <tr><td>ivo://cds.vizier/j/a+a/299/696</td></tr>
 <tr><td>ivo://cds.vizier/j/a+a/320/74</td></tr>
@@ -589,15 +617,13 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 <tr><td>ivo://cds.vizier/j/a+a/332/575</td></tr>
 <tr><td>ivo://cds.vizier/j/a+a/333/897</td></tr>
 <tr><td>ivo://cds.vizier/j/a+a/341/751</td></tr>
-<tr><td>ivo://cds.vizier/j/a+a/375/863</td></tr>
 <tr><td>...</td></tr>
-<tr><td>ivo://cds.vizier/j/mnras/476/3245</td></tr>
-<tr><td>ivo://cds.vizier/j/mnras/483/1125</td></tr>
 <tr><td>ivo://cds.vizier/j/mnras/492/1008</td></tr>
 <tr><td>ivo://cds.vizier/j/other/rmxaa/53.439</td></tr>
 <tr><td>ivo://cds.vizier/j/other/rmxaa/56.139</td></tr>
 <tr><td>ivo://cds.vizier/j/pasj/68/92</td></tr>
 <tr><td>ivo://cds.vizier/v/140</td></tr>
+<tr><td>ivo://cds.vizier/v/80</td></tr>
 <tr><td>ivo://nasa.heasarc/ngc2516xmm</td></tr>
 <tr><td>ivo://nasa.heasarc/ngc2547xmm</td></tr>
 <tr><td>ivo://nasa.heasarc/ngc752cxo</td></tr>
@@ -631,7 +657,7 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
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-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>91
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>94
 </pre></div>
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@@ -643,11 +669,12 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
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-<div class="output text_html">&lt;MaskedColumn name=&apos;ivoid&apos; dtype=&apos;object&apos; description=&apos;Unambiguous reference to the resource conforming to the IVOA standard for identifiers.&apos; length=91&gt;
+<div class="output text_html">&lt;MaskedColumn name=&apos;ivoid&apos; dtype=&apos;object&apos; description=&apos;Unambiguous reference to the resource conforming to the IVOA standard for identifiers.&apos; length=94&gt;
 <table>
 <tr><td>ivo://cds.vizier/i/163</td></tr>
 <tr><td>ivo://cds.vizier/i/90</td></tr>
 <tr><td>ivo://cds.vizier/ii/131</td></tr>
+<tr><td>ivo://cds.vizier/ii/43</td></tr>
 <tr><td>ivo://cds.vizier/ii/44</td></tr>
 <tr><td>ivo://cds.vizier/j/a+a/299/696</td></tr>
 <tr><td>ivo://cds.vizier/j/a+a/320/74</td></tr>
@@ -656,15 +683,13 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 <tr><td>ivo://cds.vizier/j/a+a/332/575</td></tr>
 <tr><td>ivo://cds.vizier/j/a+a/333/897</td></tr>
 <tr><td>ivo://cds.vizier/j/a+a/341/751</td></tr>
-<tr><td>ivo://cds.vizier/j/a+a/375/863</td></tr>
 <tr><td>...</td></tr>
-<tr><td>ivo://cds.vizier/j/mnras/476/3245</td></tr>
-<tr><td>ivo://cds.vizier/j/mnras/483/1125</td></tr>
 <tr><td>ivo://cds.vizier/j/mnras/492/1008</td></tr>
 <tr><td>ivo://cds.vizier/j/other/rmxaa/53.439</td></tr>
 <tr><td>ivo://cds.vizier/j/other/rmxaa/56.139</td></tr>
 <tr><td>ivo://cds.vizier/j/pasj/68/92</td></tr>
 <tr><td>ivo://cds.vizier/v/140</td></tr>
+<tr><td>ivo://cds.vizier/v/80</td></tr>
 <tr><td>ivo://nasa.heasarc/ngc2516xmm</td></tr>
 <tr><td>ivo://nasa.heasarc/ngc2547xmm</td></tr>
 <tr><td>ivo://nasa.heasarc/ngc752cxo</td></tr>
@@ -700,6 +725,10 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 The original catalog lists the flare stars discovered by different astronomical observatories over an area slightly larger than 20 square degrees in the Pleiades regions centered on Alcyone. Not all the flare stars are members of this cluster, membership indicators are provided in the catalog. The catalog, combining Tables 1 and 2 of the publication, gives the data for 1531 flares of 519 flare stars.
   ***  
 
+[&#39;Henry R.C. Hesser J.E.&#39;]
+The photoelectric measurements of the strength of the Calcium K-line has been extended by 223 stars of predominantly southern or equatorial declinations which are well distributed in right ascension. This has expanded the existent list to 369 field stars for which a k-index is available, including many more Am stars. All available k-index data for field stars are presented here. Introduction: The present work represents a continuation of that described previously (Henry 1968ApJ...152L..87H, 1969ApJS...18...47H = II/42, [hereinafter referenced as Paper I]), in which the K-line of calcium at 3933{AA} is measured photoelectrically in A-type stars with a narrow-band spectrometer. The result for each star is a K-line strength index, called k, the value of which appears to depend predominantly only on the temperature of the star and the abundance of calcium in its atmosphere. The temperature dependence is well known; the abundance dependence appears as a correlation between the residual dK in K (after allowance for the temperature effect) and the difference from normal of the general metallicity index [m1] of Stromgren. Alternatively, it was shown in Paper I that the calcium abundance is probably the effective factor in producing the scatter in the relation between k and b-y by a process of elimination of other parameters (luminosity, etc.) that were found not to affect appreciably the value of k. The value of k is, however, affected by a third parameter, namely, whether the star is an Am star or not. Many of the stars of Paper I were reobserved in order to tie in the new measurements with the old ones. An emphasis was laid on observing more Am stars, and on observing some stars that are of somewhat earlier spectral types than the earliest ones observed previously. Simultaneously with the field-star measurements described here, extensive data were acquired for the A stars in five open clusters (Hyades, Pleiades, IC 2391, IC 2602, and NGC 6475) and one association (Orion), as described in Paper III (Hesser &amp; Henry 1971ApJS...23..453H). The observations were made with the same instrument that was used to obtain the data for Paper I, and a description of the instrument may be found in that paper.
+  ***  
+
 [&#39;Hesser J.E.&#39;, &#39; Henry R.C.&#39;]
 Photoelectric photometry of the K-line of calcium has been performed for the A stars of five open clusters (Hyades, Pleiades, IC 2391, IC 2602, and NGC 6475) and one association (Orion). All observations were carried out simultaneously with the field stars measurements in Paper II (II/43), with the 16-inch (40cm) and 36-inch (91cm) telescopes of the Cerro Tololo Inter-American Observatory, between May 1969 and January 1970.
   ***  
@@ -728,7 +757,7 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 On the basis of the best available member list and duplicity information, we have studied the radial structure of Praesepe and of the very young open cluster NGC 6231. We have found mass segregation among the cluster members and between binaries and single stars, which is explained by the greater average mass of the multiple systems. However, the degree of mass segregation for stars between 1.5 and 2.3M_{sun}_ is less pronounced in Praesepe than in the Pleiades. Furthermore, mass segregation is already present in the very young open cluster NGC 6231 although this cluster is likely still not dynamically relaxed. We discuss the implications of these results and propose a qualitative scenario for the evolution of mass segregation in open clusters. In Praesepe the mass function of single stars and primaries appears to be significantly different, like in the Pleiades. We observe an absence of ellipticity of the outer part of Praesepe.
   ***  
 
-[&#39;Micela G.&#39;, &#39; Sciortino S.&#39;, &#39; Harnden&#39;, &#39; F.R.Jr.&#39;, &#39; Kashyap V.&#39;, &#39; Rosner R.&#39;, &#39; Prosser C.F.&#39;, &#39; Damiani F.&#39;, &#39; Stauffer J.&#39;, &#39; Caillault J.-P.&#39;]
+[&#39;Micela G.&#39;, &#39; Sciortino S.&#39;, &#39; Harnden&#39;, &#39; F.R.Jr.&#39;, &#39; Kashyap V.&#39;, &#39; Rosner R.,Prosser C.F.&#39;, &#39; Damiani F.&#39;, &#39; Stauffer J.&#39;, &#39; Caillault J.-P.&#39;]
 In a deep X-ray survey of the Pleiades open cluster, we use the ROSAT High Resolution Imager to explore a region of the cluster formerly surveyed with the PSPC. These new observations substantially improve upon both the sensitivity and the spatial resolution for this region of the Pleiades, allowing us to detect 18 cluster members not detected before and 16 members not included in the catalogs used in previous surveys. The high sensitivity of the present observations permits us to obtain more stringent upper limits for 72 additional members and also provides sufficient numbers of stars to enable us to explore the dependence of L_x_ on stellar rotation for the slow rotators of the Pleiades. Using the new high sensitivity X-ray observations and the recent rotational measurements we discuss the activity-rotation relationship in the Pleiades solar type stars. We also present new photometric observations of optical counterparts of a number of X-ray sources detected in previous surveys but not yet identified.
   ***  
 
@@ -748,7 +777,7 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 The maximum amplitude A_max_ of spot-induced brightness variations from long-term V-band photometry and the ratio L_X_/L_bol_ between X-ray and bolometric luminosities are suitable indicators of the level of magnetic activity in the photosphere and in the corona of late-type stars, respectively. By using these activity indicators we investigate the dependence of coronal X-ray emission on the level of photospheric starspot activity in a homogeneous sample of low mass main-sequence field and cluster stars of different ages (IC 2602, IC 4665, IC 2391, {alpha} Per, Pleiades and Hyades).
   ***  
 
-[&#39;Zickgraf F.-J.&#39;, &#39; Krautter J.&#39;, &#39; Reffert S.&#39;, &#39; Alcala J.M.&#39;, &#39; Mujica R.&#39;, &#39; Covino E.&#39;, &#39; Sterzik M.F.&#39;]
+[&#39;Zickgraf F.-J.&#39;, &#39; Krautter J.&#39;, &#39; Reffert S.&#39;, &#39; Alcala J.M.&#39;, &#39; Mujica R.&#39;, &#39; Covino E.,Sterzik M.F.&#39;]
 We present results of an investigation of the X-ray properties, age distribution, and kinematical characteristics of a high-galactic latitude sample of late-type field stars selected from the ROSAT All-Sky Survey (RASS). The sample comprises 254 RASS sources with optical counterparts of spectral types F to M distributed over six study areas located at |b|&gt;~20{deg}, and Dec&gt;=-9{deg}. A detailed study was carried out for the subsample of ~200 G, K, and M stars. Lithium abundances were determined for 179 G-M stars. Radial velocities were measured for most of the 141 G and K type stars of the sample. Combined with proper motions these data were used to study the age distribution and the kinematical properties of the sample. Based on the lithium abundances half of the G-K stars were found to be younger than the Hyades (660Myr). About 25% are comparable in age to the Pleiades (100Myr). A small subsample of 10 stars is younger than the Pleiades. They are therefore most likely pre-main sequence stars. Kinematically the PMS and Pleiades-type stars appear to form a group with space velocities close to the Castor moving group but clearly distinct from the Local Association.
   ***  
 
@@ -772,27 +801,27 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 Knowledge of the mass function in open clusters constitutes one way to constrain the formation of low-mass stars and brown dwarfs along with the knowledge of the frequency of multiple systems and the properties of disks. The aim of the project is to determine the shape of the mass function in the low-mass and substellar regimes in the pre-main sequence (27Myr) cluster IC4665 located at 350pc from the Sun. We have cross-matched the near-infrared photometric data from the Eighth Data Release (DR8) of the UKIRT Infrared Deep Sky Survey (UKIDSS) Galactic Clusters Survey (GCS) with previous optical data obtained with the Canada-France-Hawaii (CFH) wide-field camera to improve the determination of the luminosity and mass functions in the low-mass and substellar regimes. The availability of i and z photometry taken with the CFH12K camera on the Canada France Hawaii Telescope added strong constraints to the UKIDSS photometric selection in this cluster located in a dense region of our Galaxy. We have derived the luminosity and mass functions of the cluster down to J=18.5mag, corresponding to masses of ~0.025M_{sun}_ at the distance and age of IC4665 according to theoretical models. In addition, we have extracted new candidate members down to ~20 Jupiter masses in a previously unstudied region of the cluster. We have derived the mass function over the 0.6-0.04M_{sun}_ mass range and found that it is best represented by a log-normal function with a peak at 0.25-0.16M_{sun}_, consistent with the determination in the Pleiades.
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-[&#39;Maedler T.&#39;, &#39; Jofre P.&#39;, &#39; Gilmore G.&#39;, &#39; C Worley C.&#39;, &#39; Soubiran C.&#39;, &#39; Blanco-Cuaresma S.&#39;, &#39; Hawkins K.&#39;, &#39; Casey A.R.&#39;]
+[&#39;Maedler T.&#39;, &#39; Jofre P.&#39;, &#39; Gilmore G.&#39;, &#39; C Worley C.&#39;, &#39; Soubiran C.,Blanco-Cuaresma S.&#39;, &#39; Hawkins K.&#39;, &#39; Casey A.R.&#39;]
 Since the release of the Hipparcos catalogue in 1997, the distance to the Pleiades open cluster has been heavily debated. The distance obtained from Hipparcos and those by alternative methods differ by 10 to 15%. As accurate stellar distances are key to understanding stellar structure and evolution, this dilemma puts the validity of some stellar evolution models into question. Using our model-independent method to determine parallaxes based on twin stars, we report individual parallaxes of 15 FGK type stars in the Pleiades in anticipation of the astrometric mission Gaia. These parallaxes give a mean cluster parallax of 7.42+/-0.09mas,which corresponds to a mean cluster distance of 134.8+/-1.7pc. This value agrees with the current results obtained from stellar evolution models.
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-[&#39;Barrado D.&#39;, &#39; Bouy H.&#39;, &#39; Bouvier J.&#39;, &#39; Moraux E.&#39;, &#39; Sarro L.M.&#39;, &#39; Bertin E.&#39;, &#39; Cuillandre J.C.&#39;, &#39; Stauffer J.R.&#39;, &#39; Lillo-Box J.&#39;, &#39; Pollock A.&#39;]
+[&#39;Barrado D.&#39;, &#39; Bouy H.&#39;, &#39; Bouvier J.&#39;, &#39; Moraux E.&#39;, &#39; Sarro L.M.&#39;, &#39; Bertin E.,Cuillandre J.C.&#39;, &#39; Stauffer J.R.&#39;, &#39; Lillo-Box J.&#39;, &#39; Pollock A.&#39;]
 Stellar clusters are open windows to understand stellar evolution. Specifically, the change with time and the dependence on mass of different stellar properties. As such, they are our laboratories where different theories can be tested. We try to understand the origin of the connection between lithium depletion in F, G and K stars, rotation and activity, in particular in the Pleiades open cluster. We have collected all the relevant data in the literature, including information regarding rotation period, binarity and activity, and cross-matched with proper motions, multi-wavelength photometry and membership probability from the DANCe database. In order to avoid biases, only Pleiades single members with probabilities larger than 75% have been included in the discussion. Results. The analysis confirms that there is a strong link between activity, rotation and the lithium equivalent width excess, specially for the range Lum(bol)=0.5-0.2L_{sun}_ (about K2-K7 spectral types or 0.75-0.95M_{sun}_). It is not possible to disentangle these effects but we cannot exclude that the observed lithium overabundance is partially an observational effect due to enhanced activity, due to a large coverage by stellar spots induced by high rotation rates. Since a bona fide lithium enhancement is present in young, fast rotators, both activity and rotation should play a role in the lithium problem.
   ***  
 
-[&#39;Gaia Collaboration van Leeuwen F.&#39;, &#39; Vallenari A.&#39;, &#39; Jordi C.&#39;, &#39; Lindegren L.&#39;, &#39; Bastian U.&#39;, &#39; Prusti T.&#39;, &#39; de Bruijne J.H.J.&#39;, &#39; Brown A.G.A.&#39;, &#39; Babusiaux C.&#39;, &#39; Bailer-Jones C.A.L.&#39;, &#39; Biermann M.&#39;, &#39; Evans D.W.&#39;, &#39; Eyer L.&#39;, &#39; Jansen F.&#39;, &#39; Klioner S.A.&#39;, &#39; Lammers U.&#39;, &#39; Luri X.&#39;, &#39; Mignard F.&#39;, &#39; Panem C.&#39;, &#39; Pourbaix D.&#39;, &#39; Randich S.&#39;, &#39; Sartoretti P.&#39;, &#39; Siddiqui H.I.&#39;, &#39; Soubiran C.&#39;, &#39; Valette V.&#39;, &#39; Walton N.A.&#39;, &#39; Aerts C.&#39;, &#39; Arenou F.&#39;, &#39; Cropper M.&#39;, &#39; Drimmel R.&#39;, &#39; Hog E.&#39;, &#39; Katz D.&#39;, &#39; Lattanzi M.G.&#39;, &quot; O&#39;Mullane W.&quot;, &#39; Grebel E.K.&#39;, &#39; Holland A.D.&#39;, &#39; Huc C.&#39;, &#39; Passot X.&#39;, &#39; Perryman M.&#39;, &#39; Bramante L.&#39;, &#39; Cacciari C.&#39;, &#39; Castaneda J.&#39;, &#39; Chaoul L.&#39;, &#39; Cheek N.&#39;, &#39; De Angeli F.&#39;, &#39; Fabricius C.&#39;, &#39; Guerra R.&#39;, &#39; Hernandez J.&#39;, &#39; Jean-Antoine-Piccolo A.&#39;, &#39; Masana E.&#39;, &#39; Messineo R.&#39;, &#39; Mowlavi N.&#39;, &#39; Nienartowicz K.&#39;, &#39; Ordonez-Blanco D.&#39;, &#39; Panuzzo P.&#39;, &#39; Portell J.&#39;, &#39; Richards P.J.&#39;, &#39; Riello M.&#39;, &#39; Seabroke G.M.&#39;, &#39; Tanga P.&#39;, &#39; Thevenin F.&#39;, &#39; Torra J.&#39;, &#39; Els S.G.&#39;, &#39; Gracia-Abril G.&#39;, &#39; Comoretto G.&#39;, &#39; Garcia-Reinaldos M.&#39;, &#39; Lock T.&#39;, &#39; Mercier E.&#39;, &#39; Altmann M.&#39;, &#39; Andrae R.&#39;, &#39; Astraatmadja T.L.&#39;, &#39; Bellas-Velidis I.&#39;, &#39; Benson K.&#39;, &#39; Berthier J.&#39;, &#39; Blomme R.&#39;, &#39; Busso G.&#39;, &#39; Carry B.&#39;, &#39; Cellino A.&#39;, &#39; Clementini G.&#39;, &#39; Cowell S.&#39;, &#39; Creevey O.&#39;, &#39; Cuypers J.&#39;, &#39; Davidson M.&#39;, &#39; De Ridder J.&#39;, &#39; de Torres A.&#39;, &#39; Delchambre L.&#39;, &quot; Dell&#39;Oro A.&quot;, &#39; Ducourant C.&#39;, &#39; Fremat Y.&#39;, &#39; Garcia-Torres M.&#39;, &#39; Gosset E.&#39;, &#39; Halbwachs J.-L.&#39;, &#39; Hambly N.C.&#39;, &#39; Harrison D.L.&#39;, &#39; Hauser M.&#39;, &#39; Hestroffer D.&#39;, &#39; Hodgkin S.T.&#39;, &#39; Huckle H.E.&#39;, &#39; Hutton A.&#39;, &#39; Jasniewicz G.&#39;, &#39; Jordan S.&#39;, &#39; Kontizas M.&#39;, &#39; Korn A.J.&#39;, &#39; Lanzafame A.C.&#39;, &#39; Manteiga M.&#39;, &#39; Moitinho A.&#39;, &#39; Muinonen K.&#39;, &#39; Osinde J.&#39;, &#39; Pancino E.&#39;, &#39; Pauwels T.&#39;, &#39; Petit J.-M.&#39;, &#39; Recio-Blanco A.&#39;, &#39; Robin A.C.&#39;, &#39; Sarro L.M.&#39;, &#39; Siopis C.&#39;, &#39; Smith M.&#39;, &#39; Smith K.W.&#39;, &#39; Sozzetti A.&#39;, &#39; Thuillot W.&#39;, &#39; van Reeven W.&#39;, &#39; Viala Y.&#39;, &#39; Abbas U.&#39;, &#39; Abreu Aramburu A.&#39;, &#39; Accart S.&#39;, &#39; Aguado J.J.&#39;, &#39; Allan P.M.&#39;, &#39; 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Bruesemeister T.&#39;, &#39; Bucciarelli B.&#39;, &#39; Burgess P.&#39;, &#39; Burgon R.&#39;, &#39; Burlacu A.&#39;, &#39; Busonero D.&#39;, &#39; Buzzi R.&#39;, &#39; Caffau E.&#39;, &#39; Cambras J.&#39;, &#39; Campbell H.&#39;, &#39; Cancelliere R.&#39;, &#39; Cantat-Gaudin T.&#39;, &#39; Carlucci T.&#39;, &#39; Carrasco J.M.&#39;, &#39; Castellani M.&#39;, &#39; Charlot P.&#39;, &#39; Charnas J.&#39;, &#39; Chiavassa A.&#39;, &#39; Clotet M.&#39;, &#39; Cocozza G.&#39;, &#39; Collins R.S.&#39;, &#39; Costigan G.&#39;, &#39; Crifo F.&#39;, &#39; Cross N.J.G.&#39;, &#39; Crosta M.&#39;, &#39; Crowley C.&#39;, &#39; Dafonte C.&#39;, &#39; Damerdji Y.&#39;, &#39; Dapergolas A.&#39;, &#39; David P.&#39;, &#39; David M.&#39;, &#39; De Cat P.&#39;, &#39; de Felice F.&#39;, &#39; de Laverny P.&#39;, &#39; De Luise F.&#39;, &#39; De March R.&#39;, &#39; de Martino D.&#39;, &#39; de Souza R.&#39;, &#39; Debosscher J.&#39;, &#39; del Pozo E.&#39;, &#39; Delbo M.&#39;, &#39; Delgado A.&#39;, &#39; Delgado H.E.&#39;, &#39; Di Matteo P.&#39;, &#39; Diakite S.&#39;, &#39; Distefano E.&#39;, &#39; Dolding C.&#39;, &#39; Dos Anjos S.&#39;, &#39; Drazinos P.&#39;, &#39; Duran J.&#39;, &#39; Dzigan Y.&#39;, &#39; Edvardsson B.&#39;, &#39; Enke H.&#39;, &#39; Evans N.W.&#39;, &#39; Eynard Bontemps G.&#39;, &#39; Fabre C.&#39;, &#39; Fabrizio M.&#39;, &#39; Faigler S.&#39;, &#39; Falcao A.J.&#39;, &#39; Farras Casas M.&#39;, &#39; Federici L.&#39;, &#39; Fedorets G.&#39;, &#39; Fernandez-Hernandez J.&#39;, &#39; Fernique P.&#39;, &#39; Fienga A.&#39;, &#39; Figueras F.&#39;, &#39; Filippi F.&#39;, &#39; Findeisen K.&#39;, &#39; Fonti A.&#39;, &#39; Fouesneau M.&#39;, &#39; Fraile E.&#39;, &#39; Fraser M.&#39;, &#39; Fuchs J.&#39;, &#39; Gai M.&#39;, &#39; Galleti S.&#39;, &#39; Galluccio L.&#39;, &#39; Garabato D.&#39;, &#39; Garcia-Sedano F.&#39;, &#39; Garofalo A.&#39;, &#39; Garralda N.&#39;, &#39; Gavras P.&#39;, &#39; Gerssen J.&#39;, &#39; Geyer R.&#39;, &#39; Gilmore G.&#39;, &#39; Girona S.&#39;, &#39; Giuffrida G.&#39;, &#39; Gomes M.&#39;, &#39; Gonzalez-Marcos A.&#39;, &#39; Gonzalez-Nunez J.&#39;, &#39; Gonzalez-Vidal J.J.&#39;, &#39; Granvik M.&#39;, &#39; Guerrier A.&#39;, &#39; Guillout P.&#39;, &#39; Guiraud J.&#39;, &#39; Gurpide A.&#39;, &#39; Gutierrez-Sanchez R.&#39;, &#39; Guy L.P.&#39;, &#39; Haigron R.&#39;, &#39; Hatzidimitriou D.&#39;, &#39; Haywood M.&#39;, &#39; Heiter U.&#39;, &#39; Helmi A.&#39;, &#39; Hobbs D.&#39;, &#39; Hofmann W.&#39;, &#39; Holl B.&#39;, &#39; Holland G.&#39;, &#39; Hunt J.A.S.&#39;, &#39; Hypki A.&#39;, &#39; Icardi V.&#39;, &#39; Irwin M.&#39;, &#39; Jevardat de Fombelle G.&#39;, &#39; Jofre P.&#39;, &#39; Jonker P.G.&#39;, &#39; Jorissen A.&#39;, &#39; Julbe F.&#39;, &#39; Karampelas A.&#39;, &#39; Kochoska A.&#39;, &#39; Kohley R.&#39;, &#39; Kolenberg K.&#39;, &#39; Kontizas E.&#39;, &#39; Koposov S.E.&#39;, &#39; Kordopatis G.&#39;, &#39; Koubsky P.&#39;, &#39; Krone-Martins A.&#39;, &#39; Kudryashova M.&#39;, &#39; Kull I.&#39;, &#39; Bachchan R.K.&#39;, &#39; Lacoste-Seris F.&#39;, &#39; Lanza A.F.&#39;, &#39; Lavigne J.-B.&#39;, &#39; Le Poncin-Lafitte C.&#39;, &#39; Lebreton Y.&#39;, &#39; Lebzelter T.&#39;, &#39; Leccia S.&#39;, &#39; Leclerc N.&#39;, &#39; Lecoeur-Taibi I.&#39;, &#39; Lemaitre V.&#39;, &#39; Lenhardt H.&#39;, &#39; Leroux F.&#39;, &#39; Liao S.&#39;, &#39; Licata E.&#39;, &#39; Lindstrom H.E.P.&#39;, &#39; Lister T.A.&#39;, &#39; Livanou E.&#39;, &#39; Lobel A.&#39;, &#39; Loeffler W.&#39;, &#39; Lopez M.&#39;, &#39; Lorenz D.&#39;, &#39; MacDonald I.&#39;, &#39; Magalhaes Fernandes T.&#39;, &#39; Managau S.&#39;, &#39; Mann R.G.&#39;, &#39; Mantelet G.&#39;, &#39; Marchal O.&#39;, &#39; Marchant J.M.&#39;, &#39; Marconi M.&#39;, &#39; Marinoni S.&#39;, &#39; Marrese P.M.&#39;, &#39; Marschalko G.&#39;, &#39; Marshall D.J.&#39;, &#39; Martin-Fleitas J.M.&#39;, &#39; Martino M.&#39;, &#39; Mary N.&#39;, &#39; Matijevic G.&#39;, &#39; Mazeh T.&#39;, &#39; McMillan P.J.&#39;, &#39; 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Peltzer C.&#39;, &#39; Peralta J.&#39;, &#39; Peturaud F.&#39;, &#39; Pieniluoma T.&#39;, &#39; Pigozzi E.&#39;, &#39; Poels+ J.&#39;, &#39; Prat G.&#39;, &quot; Prod&#39;homme T.&quot;, &#39; Raison F.&#39;, &#39; Rebordao J.M.&#39;, &#39; Risquez D.&#39;, &#39; Rocca-Volmerange B.&#39;, &#39; Rosen S.&#39;, &#39; Ruiz-Fuertes M.I.&#39;, &#39; Russo F.&#39;, &#39; Sembay S.&#39;, &#39; Serraller Vizcaino I.&#39;, &#39; Short A.&#39;, &#39; Siebert A.&#39;, &#39; Silva H.&#39;, &#39; Sinachopoulos D.&#39;, &#39; Slezak E.&#39;, &#39; Soffel M.&#39;, &#39; Sosnowska D.&#39;, &#39; Straizys V.&#39;, &#39; ter Linden M.&#39;, &#39; Terrell D.&#39;, &#39; Theil S.&#39;, &#39; Tiede C.&#39;, &#39; Troisi L.&#39;, &#39; Tsalmantza P.&#39;, &#39; Tur D.&#39;, &#39; Vaccari M.&#39;, &#39; Vachier F.&#39;, &#39; Valles P.&#39;, &#39; Van Hamme W.&#39;, &#39; Veltz L.&#39;, &#39; Virtanen J.&#39;, &#39; Wallut J.-M.&#39;, &#39; Wichmann R.&#39;, &#39; Wilkinson M.I.&#39;, &#39; Ziaeepour H.&#39;, &#39; Zschocke S.&#39;]
+[&#39;Gaia Collaborationvan Leeuwen F.&#39;, &#39; Vallenari A.&#39;, &#39; Jordi C.&#39;, &#39; Lindegren L.&#39;, &#39; Bastian U.,Prusti T.&#39;, &#39; de Bruijne J.H.J.&#39;, &#39; Brown A.G.A.&#39;, &#39; Babusiaux C.,Bailer-Jones C.A.L.&#39;, &#39; Biermann M.&#39;, &#39; Evans D.W.&#39;, &#39; Eyer L.&#39;, &#39; Jansen F.,Klioner S.A.&#39;, &#39; Lammers U.&#39;, &#39; Luri X.&#39;, &#39; Mignard F.&#39;, &#39; Panem C.&#39;, &#39; Pourbaix D.,Randich S.&#39;, &#39; Sartoretti P.&#39;, &#39; Siddiqui H.I.&#39;, &#39; Soubiran C.&#39;, &#39; Valette V.,Walton N.A.&#39;, &#39; Aerts C.&#39;, &#39; Arenou F.&#39;, &#39; Cropper M.&#39;, &#39; Drimmel R.&#39;, &#39; Hog E.&#39;, &#39; Katz D.,Lattanzi M.G.&#39;, &quot; O&#39;Mullane W.&quot;, &#39; Grebel E.K.&#39;, &#39; Holland A.D.&#39;, &#39; Huc C.&#39;, &#39; Passot X.,Perryman M.&#39;, &#39; Bramante L.&#39;, &#39; Cacciari C.&#39;, &#39; Castaneda J.&#39;, &#39; Chaoul L.&#39;, &#39; Cheek N.,De Angeli F.&#39;, &#39; Fabricius C.&#39;, &#39; Guerra R.&#39;, &#39; Hernandez J.,Jean-Antoine-Piccolo A.&#39;, &#39; Masana E.&#39;, &#39; Messineo R.&#39;, &#39; Mowlavi N.,Nienartowicz K.&#39;, &#39; Ordonez-Blanco D.&#39;, &#39; Panuzzo P.&#39;, &#39; Portell J.&#39;, &#39; Richards P.J.,Riello M.&#39;, &#39; Seabroke G.M.&#39;, &#39; Tanga P.&#39;, &#39; Thevenin F.&#39;, &#39; Torra J.&#39;, &#39; Els S.G.,Gracia-Abril G.&#39;, &#39; Comoretto G.&#39;, &#39; Garcia-Reinaldos M.&#39;, &#39; Lock T.&#39;, &#39; Mercier E.,Altmann M.&#39;, &#39; Andrae R.&#39;, &#39; Astraatmadja T.L.&#39;, &#39; Bellas-Velidis I.&#39;, &#39; Benson K.,Berthier J.&#39;, &#39; Blomme R.&#39;, &#39; Busso G.&#39;, &#39; Carry B.&#39;, &#39; Cellino A.&#39;, &#39; Clementini G.,Cowell S.&#39;, &#39; Creevey O.&#39;, &#39; Cuypers J.&#39;, &#39; Davidson M.&#39;, &#39; De Ridder J.&#39;, &#39; de Torres A.,Delchambre L.&#39;, &quot; Dell&#39;Oro A.&quot;, &#39; Ducourant C.&#39;, &#39; Fremat Y.&#39;, &#39; Garcia-Torres M.,Gosset E.&#39;, &#39; Halbwachs J.-L.&#39;, &#39; Hambly N.C.&#39;, &#39; Harrison D.L.&#39;, &#39; Hauser M.,Hestroffer D.&#39;, &#39; Hodgkin S.T.&#39;, &#39; Huckle H.E.&#39;, &#39; Hutton A.&#39;, &#39; Jasniewicz G.,Jordan S.&#39;, &#39; Kontizas M.&#39;, &#39; Korn A.J.&#39;, &#39; Lanzafame A.C.&#39;, &#39; Manteiga M.,Moitinho A.&#39;, &#39; Muinonen K.&#39;, &#39; Osinde J.&#39;, &#39; Pancino E.&#39;, &#39; Pauwels T.&#39;, &#39; Petit J.-M.,Recio-Blanco A.&#39;, &#39; Robin A.C.&#39;, &#39; Sarro L.M.&#39;, &#39; Siopis C.&#39;, &#39; Smith M.&#39;, &#39; Smith K.W.,Sozzetti A.&#39;, &#39; Thuillot W.&#39;, &#39; van Reeven W.&#39;, &#39; Viala Y.&#39;, &#39; Abbas U.,Abreu Aramburu A.&#39;, &#39; Accart S.&#39;, &#39; Aguado J.J.&#39;, &#39; Allan P.M.&#39;, &#39; Allasia W.,Altavilla G.&#39;, &#39; Alvarez M.A.&#39;, &#39; Alves J.&#39;, &#39; Anderson R.I.&#39;, &#39; Andrei A.H.,Anglada Varela E.&#39;, &#39; Antiche E.&#39;, &#39; Antoja T.&#39;, &#39; Anton S.&#39;, &#39; Arcay B.&#39;, &#39; Bach N.,Baker S.G.&#39;, &#39; Balaguer-Nunez L.&#39;, &#39; Barache C.&#39;, &#39; Barata C.&#39;, &#39; Barbier A.,Barblan F.&#39;, &#39; Barrado y Navascues D.&#39;, &#39; Barros M.&#39;, &#39; Barstow M.A.&#39;, &#39; Becciani U.,Bellazzini M.&#39;, &#39; Bello Garcia A.&#39;, &#39; Belokurov V.&#39;, &#39; Bendjoya P.&#39;, &#39; Berihuete A.,Bianchi L.&#39;, &#39; Bienayme O.&#39;, &#39; Billebaud F.&#39;, &#39; Blagorodnova N.&#39;, &#39; Blanco-Cuaresma S.,Boch T.&#39;, &#39; Bombrun A.&#39;, &#39; Borrachero R.&#39;, &#39; Bouquillon S.&#39;, &#39; Bourda G.&#39;, &#39; Bouy H.,Bragaglia A.&#39;, &#39; Breddels M.A.&#39;, &#39; Brouillet N.&#39;, &#39; Bruesemeister T.,Bucciarelli B.&#39;, &#39; Burgess P.&#39;, &#39; Burgon R.&#39;, &#39; Burlacu A.&#39;, &#39; Busonero D.&#39;, &#39; Buzzi R.,Caffau E.&#39;, &#39; Cambras J.&#39;, &#39; Campbell H.&#39;, &#39; Cancelliere R.&#39;, &#39; Cantat-Gaudin T.,Carlucci T.&#39;, &#39; Carrasco J.M.&#39;, &#39; Castellani M.&#39;, &#39; Charlot P.&#39;, &#39; Charnas J.,Chiavassa A.&#39;, &#39; Clotet M.&#39;, &#39; Cocozza G.&#39;, &#39; Collins R.S.&#39;, &#39; Costigan G.&#39;, &#39; Crifo F.,Cross N.J.G.&#39;, &#39; Crosta M.&#39;, &#39; Crowley C.&#39;, &#39; Dafonte C.&#39;, &#39; Damerdji Y.,Dapergolas A.&#39;, &#39; David P.&#39;, &#39; David M.&#39;, &#39; De Cat P.&#39;, &#39; de Felice F.&#39;, &#39; de Laverny P.,De Luise F.&#39;, &#39; De March R.&#39;, &#39; de Martino D.&#39;, &#39; de Souza R.&#39;, &#39; Debosscher J.,del Pozo E.&#39;, &#39; Delbo M.&#39;, &#39; Delgado A.&#39;, &#39; Delgado H.E.&#39;, &#39; Di Matteo P.&#39;, &#39; Diakite S.,Distefano E.&#39;, &#39; Dolding C.&#39;, &#39; Dos Anjos S.&#39;, &#39; Drazinos P.&#39;, &#39; Duran J.&#39;, &#39; Dzigan Y.,Edvardsson B.&#39;, &#39; Enke H.&#39;, &#39; Evans N.W.&#39;, &#39; Eynard Bontemps G.&#39;, &#39; Fabre C.,Fabrizio M.&#39;, &#39; Faigler S.&#39;, &#39; Falcao A.J.&#39;, &#39; Farras Casas M.&#39;, &#39; Federici L.,Fedorets G.&#39;, &#39; Fernandez-Hernandez J.&#39;, &#39; Fernique P.&#39;, &#39; Fienga A.&#39;, &#39; Figueras F.,Filippi F.&#39;, &#39; Findeisen K.&#39;, &#39; Fonti A.&#39;, &#39; Fouesneau M.&#39;, &#39; Fraile E.&#39;, &#39; Fraser M.,Fuchs J.&#39;, &#39; Gai M.&#39;, &#39; Galleti S.&#39;, &#39; Galluccio L.&#39;, &#39; Garabato D.&#39;, &#39; Garcia-Sedano F.,Garofalo A.&#39;, &#39; Garralda N.&#39;, &#39; Gavras P.&#39;, &#39; Gerssen J.&#39;, &#39; Geyer R.&#39;, &#39; Gilmore G.,Girona S.&#39;, &#39; Giuffrida G.&#39;, &#39; Gomes M.&#39;, &#39; Gonzalez-Marcos A.&#39;, &#39; Gonzalez-Nunez J.,Gonzalez-Vidal J.J.&#39;, &#39; Granvik M.&#39;, &#39; Guerrier A.&#39;, &#39; Guillout P.&#39;, &#39; Guiraud J.,Gurpide A.&#39;, &#39; Gutierrez-Sanchez R.&#39;, &#39; Guy L.P.&#39;, &#39; Haigron R.&#39;, &#39; Hatzidimitriou D.,Haywood M.&#39;, &#39; Heiter U.&#39;, &#39; Helmi A.&#39;, &#39; Hobbs D.&#39;, &#39; Hofmann W.&#39;, &#39; Holl B.&#39;, &#39; Holland G.,Hunt J.A.S.&#39;, &#39; Hypki A.&#39;, &#39; Icardi V.&#39;, &#39; Irwin M.&#39;, &#39; Jevardat de Fombelle G.,Jofre P.&#39;, &#39; Jonker P.G.&#39;, &#39; Jorissen A.&#39;, &#39; Julbe F.&#39;, &#39; Karampelas A.&#39;, &#39; Kochoska A.,Kohley R.&#39;, &#39; Kolenberg K.&#39;, &#39; Kontizas E.&#39;, &#39; Koposov S.E.&#39;, &#39; Kordopatis G.,Koubsky P.&#39;, &#39; Krone-Martins A.&#39;, &#39; Kudryashova M.&#39;, &#39; Kull I.&#39;, &#39; Bachchan R.K.,Lacoste-Seris F.&#39;, &#39; Lanza A.F.&#39;, &#39; Lavigne J.-B.&#39;, &#39; Le Poncin-Lafitte C.,Lebreton Y.&#39;, &#39; Lebzelter T.&#39;, &#39; Leccia S.&#39;, &#39; Leclerc N.&#39;, &#39; Lecoeur-Taibi I.,Lemaitre V.&#39;, &#39; Lenhardt H.&#39;, &#39; Leroux F.&#39;, &#39; Liao S.&#39;, &#39; Licata E.&#39;, &#39; Lindstrom H.E.P.,Lister T.A.&#39;, &#39; Livanou E.&#39;, &#39; Lobel A.&#39;, &#39; Loeffler W.&#39;, &#39; Lopez M.&#39;, &#39; Lorenz D.,MacDonald I.&#39;, &#39; Magalhaes Fernandes T.&#39;, &#39; Managau S.&#39;, &#39; Mann R.G.&#39;, &#39; Mantelet G.,Marchal O.&#39;, &#39; Marchant J.M.&#39;, &#39; Marconi M.&#39;, &#39; Marinoni S.&#39;, &#39; Marrese P.M.,Marschalko G.&#39;, &#39; Marshall D.J.&#39;, &#39; Martin-Fleitas J.M.&#39;, &#39; Martino M.&#39;, &#39; Mary N.,Matijevic G.&#39;, &#39; Mazeh T.&#39;, &#39; McMillan P.J.&#39;, &#39; Messina S.&#39;, &#39; Michalik D.,Millar N.R.&#39;, &#39; Miranda B.M.H.&#39;, &#39; Molina D.&#39;, &#39; Molinaro R.&#39;, &#39; Molinaro M.,Molnar L.&#39;, &#39; Moniez M.&#39;, &#39; Montegriffo P.&#39;, &#39; Mor R.&#39;, &#39; Mora A.&#39;, &#39; Morbidelli R.,Morel T.&#39;, &#39; Morgenthaler S.&#39;, &#39; Morris D.&#39;, &#39; Mulone A.F.&#39;, &#39; Muraveva T.&#39;, &#39; Musella I.,Narbonne J.&#39;, &#39; Nelemans G.&#39;, &#39; Nicastro L.&#39;, &#39; Noval L.&#39;, &#39; Ordenovic C.,Ordieres-Mere J.&#39;, &#39; Osborne P.&#39;, &#39; Pagani C.&#39;, &#39; Pagano I.&#39;, &#39; Pailler F.&#39;, &#39; Palacin H.,Palaversa L.&#39;, &#39; Parsons P.&#39;, &#39; Pecoraro M.&#39;, &#39; Pedrosa R.&#39;, &#39; Pentikaeinen H.,Pichon B.&#39;, &#39; Piersimoni A.M.&#39;, &#39; Pineau F.-X.&#39;, &#39; Plachy E.&#39;, &#39; Plum G.&#39;, &#39; Poujoulet E.,Prsa A.&#39;, &#39; Pulone L.&#39;, &#39; Ragaini S.&#39;, &#39; Rago S.&#39;, &#39; Rambaux N.&#39;, &#39; Ramos-Lerate M.,Ranalli P.&#39;, &#39; Rauw G.&#39;, &#39; Read A.&#39;, &#39; Regibo S.&#39;, &#39; Reyle C.&#39;, &#39; Ribeiro R.A.,Rimoldini L.&#39;, &#39; Ripepi V.&#39;, &#39; Riva A.&#39;, &#39; Rixon G.&#39;, &#39; Roelens M.&#39;, &#39; Romero-Gomez M.,Rowell N.&#39;, &#39; Royer F.&#39;, &#39; Ruiz-Dern L.&#39;, &#39; Sadowski G.&#39;, &#39; Sagrista Selles T.,Sahlmann J.&#39;, &#39; Salgado J.&#39;, &#39; Salguero E.&#39;, &#39; Sarasso M.&#39;, &#39; Savietto H.,Schultheis M.&#39;, &#39; Sciacca E.&#39;, &#39; Segol M.&#39;, &#39; Segovia J.C.&#39;, &#39; Segransan D.,Shih I.-C.&#39;, &#39; Smareglia R.&#39;, &#39; Smart R.L.&#39;, &#39; Solano E.&#39;, &#39; Solitro F.&#39;, &#39; Sordo R.,Soria Nieto S.&#39;, &#39; Souchay J.&#39;, &#39; Spagna A.&#39;, &#39; Spoto F.&#39;, &#39; Stampa U.&#39;, &#39; Steele I.A.,Steidelmueller H.&#39;, &#39; Stephenson C.A.&#39;, &#39; Stoev H.&#39;, &#39; Suess F.F.&#39;, &#39; Sueveges M.,Surdej J.&#39;, &#39; Szabados L.&#39;, &#39; Szegedi-Elek E.&#39;, &#39; Tapiador D.&#39;, &#39; Taris F.&#39;, &#39; Tauran G.,Taylor M.B.&#39;, &#39; Teixeira R.&#39;, &#39; Terrett D.&#39;, &#39; Tingley B.&#39;, &#39; Trager S.C.&#39;, &#39; Turon C.,Ulla A.&#39;, &#39; Utrilla E.&#39;, &#39; Valentini G.&#39;, &#39; van Elteren A.&#39;, &#39; Van Hemelryck E.,vanLeeuwen M.&#39;, &#39; Varadi M.&#39;, &#39; Vecchiato A.&#39;, &#39; Veljanoski J.&#39;, &#39; Via T.&#39;, &#39; Vicente D.,Vogt S.&#39;, &#39; Voss H.&#39;, &#39; Votruba V.&#39;, &#39; Voutsinas S.&#39;, &#39; Walmsley G.&#39;, &#39; Weiler M.,Weingrill K.&#39;, &#39; Wevers T.&#39;, &#39; Wyrzykowski L.&#39;, &#39; Yoldas A.&#39;, &#39; Zerjal M.&#39;, &#39; Zucker S.,Zurbach C.&#39;, &#39; Zwitter T.&#39;, &#39; Alecu A.&#39;, &#39; Allen M.&#39;, &#39; Allende Prieto C.&#39;, &#39; Amorim A.,Anglada-Escude G.&#39;, &#39; Arsenijevic V.&#39;, &#39; Azaz S.&#39;, &#39; Balm P.&#39;, &#39; Beck M.,Bernstein H.-H.&#39;, &#39; Bigot L.&#39;, &#39; Bijaoui A.&#39;, &#39; Blasco C.&#39;, &#39; Bonfigli M.&#39;, &#39; Bono G.,Boudreault S.&#39;, &#39; Bressan A.&#39;, &#39; Brown S.&#39;, &#39; Brunet P.-M.&#39;, &#39; Bunclark P.,Buonanno R.&#39;, &#39; Butkevich A.G.&#39;, &#39; Carret C.&#39;, &#39; Carrion C.&#39;, &#39; Chemin L.&#39;, &#39; Chereau F.,Corcione L.&#39;, &#39; Darmigny E.&#39;, &#39; de Boer K.S.&#39;, &#39; de Teodoro P.&#39;, &#39; de Zeeuw P.T.,Delle Luche C.&#39;, &#39; Domingues C.D.&#39;, &#39; Dubath P.&#39;, &#39; Fodor F.&#39;, &#39; Frezouls B.&#39;, &#39; Fries A.,Fustes D.&#39;, &#39; Fyfe D.&#39;, &#39; Gallardo E.&#39;, &#39; Gallegos J.&#39;, &#39; Gardiol D.&#39;, &#39; Gebran M.,Gomboc A.&#39;, &#39; Gomez A.&#39;, &#39; Grux E.&#39;, &#39; Gueguen A.&#39;, &#39; Heyrovsky A.&#39;, &#39; Hoar J.,Iannicola G.&#39;, &#39; Isasi Parache Y.&#39;, &#39; Janotto A.-M.&#39;, &#39; Joliet E.&#39;, &#39; Jonckheere A.,Keil R.&#39;, &#39; Kim D.-W.&#39;, &#39; Klagyivik P.&#39;, &#39; Klar J.&#39;, &#39; Knude J.&#39;, &#39; Kochukhov O.,Kolka I.&#39;, &#39; Kos J.&#39;, &#39; Kutka A.&#39;, &#39; Lainey V.&#39;, &#39; LeBouquin D.&#39;, &#39; Liu C.&#39;, &#39; Loreggia D.,Makarov V.V.&#39;, &#39; Marseille M.G.&#39;, &#39; Martayan C.&#39;, &#39; Martinez-Rubi O.&#39;, &#39; Massart B.,Meynadier F.&#39;, &#39; Mignot S.&#39;, &#39; Munari U.&#39;, &#39; Nguyen A.-T.&#39;, &quot; Nordlander T.,O&#39;Flaherty K.S.&quot;, &#39; Ocvirk P.&#39;, &#39; Olias Sanz A.&#39;, &#39; Ortiz P.&#39;, &#39; Osorio J.,Oszkiewicz D.&#39;, &#39; Ouzounis A.&#39;, &#39; Palmer M.&#39;, &#39; Park P.&#39;, &#39; Pasquato E.&#39;, &#39; Peltzer C.,Peralta J.&#39;, &#39; Peturaud F.&#39;, &#39; Pieniluoma T.&#39;, &#39; Pigozzi E.&#39;, &#39; Poels+ J.&#39;, &quot; Prat G.,Prod&#39;homme T.&quot;, &#39; Raison F.&#39;, &#39; Rebordao J.M.&#39;, &#39; Risquez D.&#39;, &#39; Rocca-Volmerange B.,Rosen S.&#39;, &#39; Ruiz-Fuertes M.I.&#39;, &#39; Russo F.&#39;, &#39; Sembay S.&#39;, &#39; Serraller Vizcaino I.,Short A.&#39;, &#39; Siebert A.&#39;, &#39; Silva H.&#39;, &#39; Sinachopoulos D.&#39;, &#39; Slezak E.&#39;, &#39; Soffel M.,Sosnowska D.&#39;, &#39; Straizys V.&#39;, &#39; ter Linden M.&#39;, &#39; Terrell D.&#39;, &#39; Theil S.&#39;, &#39; Tiede C.,Troisi L.&#39;, &#39; Tsalmantza P.&#39;, &#39; Tur D.&#39;, &#39; Vaccari M.&#39;, &#39; Vachier F.&#39;, &#39; Valles P.,Van Hamme W.&#39;, &#39; Veltz L.&#39;, &#39; Virtanen J.&#39;, &#39; Wallut J.-M.&#39;, &#39; Wichmann R.,Wilkinson M.I.&#39;, &#39; Ziaeepour H.&#39;, &#39; Zschocke S.&#39;]
 The first Gaia Data Release contains the Tycho-Gaia Astrometric Solution (TGAS). This is a subset of about 2 million stars for which, besides the position and photometry, the proper motion and parallax are calculated using Hipparcos and Tycho-2 positions in 1991.25 as prior information. We investigate the scientific potential and limitations of the TGAS component by means of the astrometric data for open clusters. Mean cluster parallax and proper motion values are derived taking into account the error correlations within the astrometric solutions for individual stars, an estimate of the internal velocity dispersion in the cluster, and, where relevant, the effects of the depth of the cluster along the line of sight. Internal consistency of the TGAS data is assessed. . Values given for standard uncertainties are still inaccurate and may lead to unrealistic unit-weight standard deviations of least squares solutions for cluster parameters. Reconstructed mean cluster parallax and proper motion values are generally in very good agreement with earlier Hipparcos-based determination, although the Gaia mean parallax for the Pleiades is a significant exception. We have no current explanation for that discrepancy. Most clusters are observed to extend to nearly 15 pc from the cluster centre, and it will be up to future Gaia releases to establish whether those potential cluster-member stars are still dynamically bound to the clusters. The Gaia DR1 provides the means to examine open clusters far beyond their more easily visible cores, and can provide membership assessments based on proper motions and parallaxes. A combined HR diagram shows the same features as observed before using the Hipparcos data, with clearly increased luminosities for older A and F dwarfs.
   ***  
 
-[&#39;Frasca A.&#39;, &#39; Guillout P.&#39;, &#39; Klutsch A.&#39;, &#39; Freire Ferrero R.&#39;, &#39; Marilli E.&#39;, &#39; Biazzo K.&#39;, &#39; Gandolfi D.&#39;, &#39; Montes D.&#39;]
+[&#39;Frasca A.&#39;, &#39; Guillout P.&#39;, &#39; Klutsch A.&#39;, &#39; Freire Ferrero R.&#39;, &#39; Marilli E.,Biazzo K.&#39;, &#39; Gandolfi D.&#39;, &#39; Montes D.&#39;]
 Star formation in the solar neighborhood is mainly traced by young stars in open clusters, associations, and in the field, which can be identified, for example, by their X-ray emission. The determination of stellar parameters for the optical counterparts of X-ray sources is crucial for a full characterization of these stars. This work extends the spectroscopic study of the RasTyc sample, obtained by the cross-correlation of the TYCHO and ROSAT All-Sky Survey catalogs, to stars fainter than V=9.5mag and aims to identify sparse populations of young stars in the solar neighborhood. We acquired 625 high-resolution spectra for 443 presumably young stars with four different instruments in the northern hemisphere. The radial and rotational velocity (vsini) of our targets were measured by means of the cross-correlation technique, which is also helpful to discover single-lined (SB1), double-lined spectroscopic binaries (SB2), and multiple systems. We used the code ROTFIT to perform an MK spectral classification and to determine the atmospheric parameters (Teff, logg, [Fe/H]) and and vsini of the single stars and SB1 systems. For these objects, we used the spectral subtraction of slowly rotating templates to measure the equivalent widths of the H{alpha} and LiI-6708A lines, which enabled us to derive their chromospheric activity level and lithium abundance. We made use of Gaia DR1 parallaxes and proper motions to locate the targets in the HR diagram and to compute the space velocity components of the youngest objects. We find a remarkable percentage (at least 35%) of binaries and multiple systems. On the basis of the lithium abundance, the sample of single stars and SB1 systems appears to be mostly (about 60%) composed of stars younger than the members of the UMa cluster. The remaining sources are in the age range between the UMa and Hyades clusters (about 20%) or older (20%). In total, we identify 42 very young (PMS-like) stars, which lie above or very close to the Pleiades upper envelope of the lithium abundance. A significant percentage (about 12%) of evolved stars (giants and subgiants) is also present in our sample. Some of these stars are also lithium rich (A(Li)&gt;1.4).
   ***  
 
-[&#39;Bouvier J&#39;, &#39; Barrado D.&#39;, &#39; Moraux E.&#39;, &#39; Stauffer J.&#39;, &#39; Rebull L.&#39;, &#39; Hillenbrand L.&#39;, &#39; Bayo A.&#39;, &#39; Boisse I.&#39;, &#39; Bouy H.&#39;, &#39; DiFolco E.&#39;, &#39; Lillo-Box J.&#39;, &#39; Morales Calderon M.&#39;]
+[&#39;Bouvier J&#39;, &#39; Barrado D.&#39;, &#39; Moraux E.&#39;, &#39; Stauffer J.&#39;, &#39; Rebull L.&#39;, &#39; Hillenbrand L.,Bayo A.&#39;, &#39; Boisse I.&#39;, &#39; Bouy H.&#39;, &#39; DiFolco E.&#39;, &#39; Lillo-Box J.&#39;, &#39; Morales Calderon M.&#39;]
 The evolution of lithium abundance over a star&#39;s lifetime is indicative of transport processes operating in the stellar interior. Aims. We revisit the relationship between lithium content and rotation rate previously reported for cool dwarfs in the Pleiades cluster. Methods. We derive new LiI 670.8nm equivalent width measurements from high-resolution spectra obtained for low-mass Pleiades members. We combine these new measurements with previously published ones, and use the Kepler/K2 rotational periods recently derived for Pleiades cool dwarfs to investigate the lithium-rotation connection in this 125Myr-old cluster. Results. The new data confirm the correlation between lithium equivalent width and stellar spin rate for a sample of 51 early K-type members of the cluster, where fast rotating stars are systematically lithium-rich compared to slowly rotating ones. The correlation is valid for all stars over the (J-Ks) color range 0.50-0.70mag, corresponding to a mass range from about 0.75 to 0.90M_{sun}_, and may extend down to lower masses. Conclusions. We argue that the dispersion in lithium equivalent widths observed for cool dwarfs in the Pleiades cluster reflects an intrinsic scatter in lithium abundances, and suggest that the physical origin of the lithium dispersion pattern is to be found in the pre-main sequence rotational history of solar-type stars.
   ***  
 
-[&#39;Fritzewski D.J.&#39;, &#39; Barnes S.A.&#39;, &#39; James D.J.&#39;, &#39; Geller A.M.&#39;, &#39; Meibom S.&#39;, &#39; Strassmeier K.G.&#39;]
+[&#39;Fritzewski D.J.&#39;, &#39; Barnes S.A.&#39;, &#39; James D.J.&#39;, &#39; Geller A.M.&#39;, &#39; Meibom S.,Strassmeier K.G.&#39;]
 NGC 3532 is an extremely rich open cluster embedded in the Galactic disc, hitherto lacking a comprehensive, documented membership list. We provide membership probabilities from new radial velocity observations of solar-type and low-mass stars in NGC 3532, in part as a prelude to a subsequent study of stellar rotation in the cluster. Using extant optical and infra-red photometry we constructed a preliminary photometric membership catalogue, consisting of 2230 dwarf and turn-off stars. We selected 1060 of these for observation with the AAOmega spectrograph at the 3.9m Anglo-Australian Telescope and 391 stars for observations with the Hydra-South spectrograph at the 4m Victor Blanco Telescope, obtaining spectroscopic observations over a decade for 145 stars. We measured radial velocities for our targets through cross-correlation with model spectra and standard stars, and supplemented them with radial velocities for 433 additional stars from the literature. We also measured logg, Teff, and [Fe/H] from the AAOmega spectra. The radial velocity distribution emerging from the observations is centred at 5.43+/-0.04km/s and has a width (standard deviation) of 1.46km/s. Together with proper motions from Gaia DR2 we find 660 exclusive members, of which five are likely binary members. The members are distributed across the whole cluster sequence, from giant stars to M dwarfs, making NGC~3532 one of the richest Galactic open clusters known to date, on par with the Pleiades. From further spectroscopic analysis of 153 dwarf members we find the metallicity to be marginally sub-solar, with [Fe/H]=-0.07+/-0.10. We confirm the extremely low reddening of the cluster, E_B-V_=0.034+/-0.012mag, despite its location near the Galactic plane. Exploiting trigonometric parallax measurements from Gaia DR2 we find a distance of 484^+35^_-30_pc [(m-M)_0_=8.42+/-0.14mag]. Based on the membership we provide an empirical cluster sequence in multiple photometric passbands. A comparison of the photometry of the measured cluster members with several recent model isochrones enables us to confirm the 300Myr cluster age. However, all of the models evince departures from the cluster sequence in particular regions, especially in the lower mass range.
   ***  
 
@@ -816,7 +845,7 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 A very rich cluster intermediate in age between the Pleiades (150Myr) and the Hyades (600Myr) is needed to probe the rotational evolution, especially the transition between fast and slow rotation that occurs between the two ages. We study the rich 300Myr-old open cluster NGC 3532 to probe this important transition and to provide constraints on angular momentum loss. Measuring the rotation periods builds on our prior work of providing spectroscopic membership information for the cluster, and it supports the chromospheric activity measurements of cluster stars that we provide in a companion paper. Using 42d-long photometric time series observations obtained with the Yale 1m telescope at CTIO, we measured rotation periods for members of NGC 3532 and compared them with the predictions of angular momentum evolution models. We directly measured 176 photometric rotation periods for the cluster members. An additional 113 photometric rotation periods were identified using activity information, described fully in the companion paper, resulting in a total sample containing 279 rotation periods for FGKM stars in NGC 3532. The colour-period diagram constructed from this rich data set shows a well-populated and structured slow rotator sequence, and a fast rotator sequence evolved beyond zero-age main sequence age whose stars are in transition from fast to slow rotation. The slow rotator sequence itself is split into slightly slower and faster rotators, a feature we trace to photometric binary status. We also identify an extended slow rotator sequence extending to P~32d, apparently the analogue of the one we previously identified in NGC 2516. We compare our period distribution to rotational isochrones in colour-period space and find that all considered models have certain shortcomings. Using more detailed spin-down models, we evolve the rotation periods of the younger NGC 2516 forward in time and find that the spindown of the models is too aggressive with respect to the slow rotators. In contrast, stars on the evolved fast rotator sequence are not spun down strongly enough by these models. Our observations suggest a shorter crossing time for the rotational gap, one we estimate to be ~80Myr for early-K dwarfs.
   ***  
 
-[&#39;Messina S.&#39;, &#39; Nardiello D.&#39;, &#39; Desidera S.&#39;, &#39; Baratella M.&#39;, &#39; Benatti S.&#39;, &#39; Biazzo K.&#39;, &quot; D&#39;Orazi V.&quot;]
+[&#39;Messina S.&#39;, &#39; Nardiello D.&#39;, &#39; Desidera S.&#39;, &#39; Baratella M.&#39;, &#39; Benatti S.&#39;, &quot; Biazzo K.,D&#39;Orazi V.&quot;]
 Gyrochronology is one of the methods currently used to estimate the age of stellar open clusters. Hundreds of new clusters, associations, and moving groups unveiled by Gaia and complemented by accurate rotation period measurements provided by recent space missions such as Kepler and TESS are allowing us to significantly improve the reliability of this method. Aims. We use gyrochronology, that is, the calibrated age-mass-rotation relation valid for low-mass stars, to measure the age of the recently discovered moving group Group X. We extracted the light curves of all candidate members from the TESS full frame images and measured their rotation periods using different period search methods. Results. We measured the rotation period of 168 of a total of 218 stars and compared their period-colour distribution with those of two age-benchmark clusters, the Pleiades (125Myr) and Praesepe (625Myr), as well as with the recently characterised open cluster NGC 3532 (300Myr). As result of our analysis, we derived a gyro age of 300+/-60Myr. We also applied as independent methods the fitting of the entire isochrone and of the three brightest candidate members individually with the most precise stellar parameters, deriving comparable values of 250 Myr and 290 Myr, respectively. Our dating of Group X allows us to definitively rule out the previously proposed connection with the nearby but much older Coma Berenices cluster.
   ***  
 
@@ -828,7 +857,7 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 The Gaia astrophysical parameters inference system (Apsis) provides astrophysical parameter estimates for several to hundreds of millions of stars. Aims. We aim to benchmark Gaia DR3 Apsis. We compiled approximately 1500 bona fide single stars in the Hyades and Pleiades open clusters for validation of PARSEC isochrones, and for comparison with Apsis estimates. PARSEC stellar isochrones in the Gaia photometric system enable us to assign average ages and metallicities to the clusters, and mass, effective temperature, luminosity, and surface gravity to the individual stars. Apsis does not recover the single-age, single-metallicity characteristic of the cluster populations. Ages assigned to cluster members seemingly follow the input template for Galactic populations, with earlier-type stars being systematically assigned younger ages than later-type stars. Cluster metallicities are underestimated by 0.1 to 0.2dex. Effective temperature estimates are in general reliable. Surface gravity estimates reveal strong systematic errors for specific ranges of the Gaia BP-RP colours. We caution that Gaia DR3 Apsis estimates can be subject to significant systematic uncertainties. Some of the Apsis estimates, such as metallicity, might only be meaningful for statistical studies of the time-averaged Galactic stellar population, but are not recommended to be used for individual stars.
   ***  
 
-[&#39;Zerjal M.&#39;, &#39; Lodieu N.&#39;, &#39; Perez-Garrido A.&#39;, &#39; Olivares J.&#39;, &#39; Bejar V.J.S.&#39;, &#39; Martin E.L.&#39;]
+[&#39;Zerjal M.&#39;, &#39; Lodieu N.&#39;, &#39; Perez-Garrido A.&#39;, &#39; Olivares J.&#39;, &#39; Bejar V.J.S.,Martin E.L.&#39;]
 Open clusters are groups of coeval stars sharing properties such as distance and metallicity, and they are key to understanding stellar evolution. Our main goal is to study the evolution of open clusters with a special focus on the universality of the luminosity function. We applied an upgraded version of the convergent point technique on about 50 open clusters. The selection of cluster members was based purely on the exquisite astrometry of the Gaia DR3 and Hipparcos catalogues in the five-dimensional or full six-dimensional space. We present updated lists of bona fide members of ~50 open clusters within 500pc and younger than 1Gyr, exploiting the full depth of the third Gaia data release complemented by Hipparcos at the bright end, excluding regions in the Galactic plane. Our catalogues also are complemented by optical and infrared photometry from the major large-scale public surveys. All the data will be made available on a dedicated webpage with interactive plots and a direct link to Aladin and Vizier hosted at the Centre de Donnees de Strasbourg. We derived luminosity functions for all bound clusters and compared them in three age groups of ~50Myr, ~150Myr, and ~600Myr, discussing similarities and differences to constrain their dynamical evolution. Luminosity functions of clusters at 50Myr are more likely similar to each other and show a greater degree of similarity than older clusters. We explain this observation with the universal luminosity function within the volume of our sample (500pc). Luminosity functions of clusters with ages similar to the Pleiades or Hyades are more diverse, perhaps due to internal dynamical evolution, but more work is needed to provide additional evidence.
   ***  
 
@@ -852,7 +881,7 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 A complete sample of blue horizontal branch (BHB) stars in the magnitude range 13.0&lt;V&lt;16.5 is isolated in two Galactic fields that have previously been searched for RR Lyrae variables: SA 57 in the Northern Polar Cap and the Lick Astrograph field RR 7 in the Anticenter (l=183{deg}, b=+37{deg}). These BHB stars are a subset of the AF stars found in the Case Low-Dispersion Northern Survey; lists of these AF stars were made available by the late Nick Sanduleak. The completeness of the sample was confirmed by reference to the photometric survey of SA 57 by Stobie &amp; Ishida (1987AJ93..... 624S) that is complete to fainter than V=18. In the color range 0.00&lt;(B-V)_0_&lt;+0.20, we can distinguish the BHB stars among these AF stars by comparing them both with well known local field horizontal branch (FHB) stars and also the BHB members of the halo globular clusters M3 and M92. The criteria for this comparison include (1) a (u-B)_K_ color index (derived from photoelectric observations using the Stromgren u filter and the Johnson B and V filters) that measures the size of the Balmer jump, (2) a spectrophotometric index A that measures the steepness of the Balmer jump, and (3) a parameter D_0.2_ that is the mean width of the H{gamma} and H{delta} Balmer lines measured at 20 percent of the continuum level. These criteria give consistent results in separating BHB stars from higher gravity main sequence AF stars in the color range 0.00&lt;(B-V)_0_&lt;+0.20. All three photometric and spectrophotometric criteria were measured for 35 stars in the SA 57 field and 37 stars in the RR 7 field that are in the color range (B-V)_0_&lt;+0.23 and in the magnitude range 13.0&lt;V&lt;16.5. For a small number of additional stars only (u-B)_K_ was obtained. Among the AF stars that are fainter than B=13 and bluer than (B-V)_0_=+0.23, about half of those in the SA 57 field and about one third of those in the lower latitude RR 7 field are BHB stars. Isoabundance contours were located empirically in plots of the pseudoequivalent width versus (B-V)_0_ for the lines of Mg II A4481{AA}, Ca II A3933 {AA} and Fe I A4272{AA}. Solar abundances were defined by the data from main sequence stars in the Pleiades and Coma open clusters. Data from the BHB stars in M3 and M92 defined the [Fe/H]=1.5 and -2.2 isoabundance contours, respectively. Metallicities of all stars were estimated by interpolating the measured pseudoequivalent widths in these diagrams at the observed (B-V)_0_. The distribution of [Fe/H] found for the BHB stars in this way is very similar to that which we found for the RR Lyrae stars in the same fields using the Preston AS method. The space densities of these BHB stars were analyzed both separately and together with earlier observations of field BHB stars given by Arnold &amp; Gilmore (1992MNRAS.257..225A), Sommer-Larsen &amp; Christensen (1986MNRAS.219..537S), and Preston et al. (1991ApJ...375..121P). This analysis supports a two-component model for the halo of our Galaxy that is similar in many respects to that proposed by Hartwick [The Galaxy (Reidel, Dordrecht 1987)] although our discussion refers only to the region outside the solar circle. For Z&gt;=35kpc, a classical spherical halo dominates which follows a R_gal_^-3.5^ space-density law and which has a HB morphology like that of the globular cluster M3 (i.e., approximately equal numbers of BHB and RR Lyrae stars). Closer to the galactic plane, there is an additional component with a much flatter galactic distribution (scale height ~2.2kpc near the Sun). The stars of the two components do not have significantly different metallicity distributions but do have slightly different distributions of the A parameter which measures the steepness of the Balmer jump; this is the only physical criterion (independent of spatial or kinematic considerations) which distinguishes between the two components. If present estimates of the local RR Lyrae star space density are correct, then the ratio of BHB stars to RR Lyrae stars is higher in the flatter halo component. The flat component would then have a bluer HB morphology (which could be interpreted as making it older) than the spherical component. In the solar neighborhood about 80 percent of the BHB stars come from the flat component and about 20 percent from the spherical component. More than half of the AF stars with V&gt;13.0 and (B-V)_0_&lt;+0.23 are not BHB stars but have surface gravities that are more like those expected for main sequence stars. Their measured metallicities lie in the range -0.2&lt;[Fe/H]&lt;-2.3. The more metal-poor of these stars are probably similar to the blue metal-poor stars that have been discussed by Preston et al. (1994AJ....108..538P) which, while they probably include globular cluster blue stragglers as a subset, must also comprise stars of other types.
   ***  
 
-[&#39;Prosser C.F.&#39;, &#39; Stauffer J.R.&#39;, &#39; Caillault J.-P.&#39;, &#39; Balachandran S.&#39;, &#39; Stern R.A.&#39;, &#39; Randich S.&#39;]
+[&#39;Prosser C.F.&#39;, &#39; Stauffer J.R.&#39;, &#39; Caillault J.-P.&#39;, &#39; Balachandran S.,Stern R.A.&#39;, &#39; Randich S.&#39;]
 A ROSAT X-ray survey, with complementary optical photometry, of the open cluster NGC 6475 has enabled the detection of ~50 late-F to K0 and ~70 K/M dwarf new candidate members, providing the first reliable detection of low-mass stars in this low galactic latitude, 220Myr old cluster. The X-ray observations reported here have a typical limiting sensitivity of L_X_ ~ 10^29^erg/s. The detection frequency of early type cluster members is consistent with the hypothesis that the X-ray emitting early type stars are binary systems with an unseen, low-mass secondary producing the X-rays. The ratio between X-ray and bolometric luminosity among NGC 6475 members saturates at a spectral-type/color which is intermediate between that in much younger and in much older clusters, consistent with rotational spindown of solar-type stars upon their arrival on the ZAMS. The upper envelope of X-ray luminosity as a function of spectral type is comparable to that of the Pleiades, with the observed spread in X-ray luminosity among low-mass members being likely due to the presence of binaries and relatively rapid rotators. However, the list of X-ray selected candidate members is likely biased against low-mass, slowly rotating single stars. While some preliminary spectroscopic information is given in an appendix, further spectroscopic observations of the new candidate members will aid in interpreting the coronal activity among solar-type NGC 6475 members and their relation to similar stars in older and younger open clusters.
   ***  
 
@@ -868,15 +897,15 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 We present new BVI_C_ photometry for 350 Pleiades proper motion members with 9&lt;V&lt;~17. Importantly, our new catalog includes a large number of K- and early M-type stars, roughly doubling the number of low-mass stars with well-calibrated Johnson/Cousins photometry in this benchmark cluster. We combine our new photometry with existing photometry from the literature to define a purely empirical isochrone at Pleiades age ({approx}100Myr) extending from V=9 to 17. We use the empirical isochrone to identify 48 new probable binaries and 14 likely nonmembers. The photometrically identified single stars are compared against their expected positions in the color-magnitude diagram (CMD). At 100Myr, the mid K and early M stars are predicted to lie above the zero-age main sequence (ZAMS) having not yet reached the ZAMS. We find in the B-V versus V CMD that mid K and early M dwarfs are instead displaced below (or blueward of) the ZAMS. Using the stars&#39; previously reported rotation periods, we find a highly statistically significant correlation between rotation period and CMD displacement, in the sense that the more rapidly rotating stars have the largest displacements in the B-V CMD.
   ***  
 
-[&#39;Rebull L.M.&#39;, &#39; Stauffer J.R.&#39;, &#39; Bouvier J.&#39;, &#39; Cody A.M.&#39;, &#39; Hillenbrand L.A.&#39;, &#39; Soderblom D.R.&#39;, &#39; Valenti J.&#39;, &#39; Barrado D.&#39;, &#39; Bouy H.&#39;, &#39; Ciardi D.&#39;, &#39; Pinsonneault M.&#39;, &#39; Stassun K.&#39;, &#39; Micela G.&#39;, &#39; Aigrain S.&#39;, &#39; Vrba F.&#39;, &#39; Somers G.&#39;, &#39; Christiansen J.&#39;, &#39; Gillen E.&#39;, &#39; Collier Cameron A.&#39;]
+[&#39;Rebull L.M.&#39;, &#39; Stauffer J.R.&#39;, &#39; Bouvier J.&#39;, &#39; Cody A.M.&#39;, &#39; Hillenbrand L.A.,Soderblom D.R.&#39;, &#39; Valenti J.&#39;, &#39; Barrado D.&#39;, &#39; Bouy H.&#39;, &#39; Ciardi D.,Pinsonneault M.&#39;, &#39; Stassun K.&#39;, &#39; Micela G.&#39;, &#39; Aigrain S.&#39;, &#39; Vrba F.&#39;, &#39; Somers G.,Christiansen J.&#39;, &#39; Gillen E.&#39;, &#39; Collier Cameron A.&#39;]
 Young (125Myr), populous (&gt;1000 members), and relatively nearby, the Pleiades has provided an anchor for stellar angular momentum models for both younger and older stars. We used K2 to explore the distribution of rotation periods in the Pleiades. With more than 500 new periods for Pleiades members, we are vastly expanding the number of Pleiades with periods, particularly at the low-mass end. About 92% of the members in our sample have at least one measured spot-modulated rotation period. For the ~8% of the members without periods, non-astrophysical effects often dominate (saturation, etc.), such that periodic signals might have been detectable, all other things being equal. We now have an unusually complete view of the rotation distribution in the Pleiades. The relationship between P and (V-K_s_)_0_ follows the overall trends found in other Pleiades studies. There is a slowly rotating sequence for 1.1&lt;~(V-K_s_)_0_&lt;~3.7 and a primarily rapidly rotating population for (V-K_s_)_0_&gt;~5.0. There is a region in which there seems to be a disorganized relationship between P and (V-K_s_)_0_ for 3.7&lt;~(V-K_s_)_0_&lt;~5.0. Paper II continues the discussion, focusing on multiperiod structures, and Paper III speculates about the origin and evolution of the period distribution in the Pleiades.
   ***  
 
-[&#39;Rebull L.M.&#39;, &#39; Stauffer J.R.&#39;, &#39; Bouvier J.&#39;, &#39; Cody A.M.&#39;, &#39; Hillenbrand L.A.&#39;, &#39; Soderblom D.R.&#39;, &#39; Valenti J.&#39;, &#39; Barrado D.&#39;, &#39; Bouy H.&#39;, &#39; Ciardi D.&#39;, &#39; Pinsonneault M.&#39;, &#39; Stassun K.&#39;, &#39; Micela G.&#39;, &#39; Aigrain S.&#39;, &#39; Vrba F.&#39;, &#39; Somers G.&#39;, &#39; Gillen E.&#39;, &#39; Collier Cameron A.&#39;]
+[&#39;Rebull L.M.&#39;, &#39; Stauffer J.R.&#39;, &#39; Bouvier J.&#39;, &#39; Cody A.M.&#39;, &#39; Hillenbrand L.A.,Soderblom D.R.&#39;, &#39; Valenti J.&#39;, &#39; Barrado D.&#39;, &#39; Bouy H.&#39;, &#39; Ciardi D.,Pinsonneault M.&#39;, &#39; Stassun K.&#39;, &#39; Micela G.&#39;, &#39; Aigrain S.&#39;, &#39; Vrba F.&#39;, &#39; Somers G.,Gillen E.&#39;, &#39; Collier Cameron A.&#39;]
 We use K2 to continue the exploration of the distribution of rotation periods in Pleiades that we began in Paper I. We have discovered complicated multiperiod behavior in Pleiades stars using these K2 data, and we have grouped them into categories, which are the focal part of this paper. About 24% of the sample has multiple, real frequencies in the periodogram, sometimes manifesting as obvious beating in the LCs. Those having complex and/or structured periodogram peaks, unresolved multiple periods, and resolved close multiple periods are likely due to spot/spot group evolution and/or latitudinal differential rotation; these largely compose the slowly rotating sequence in P versus (V-K_s_)_0_ identified in Paper I. The fast sequence in P versus (V-K_s_)_0_ is dominated by single-period stars; these are likely to be rotating as solid bodies. Paper III continues the discussion, speculating about the origin and evolution of the period distribution in the Pleiades.
   ***  
 
-[&#39;Stauffer J.&#39;, &#39; Rebull L.&#39;, &#39; Bouvier J.&#39;, &#39; Hillenbrand L.A.&#39;, &#39; Collier-Cameron A.&#39;, &#39; Pinsonneault M.&#39;, &#39; Aigrain S.&#39;, &#39; Barrado D.&#39;, &#39; Bouy H.&#39;, &#39; Ciardi D.&#39;, &#39; Cody A.M.&#39;, &#39; David T.&#39;, &#39; Micela G.&#39;, &#39; Soderblom D.&#39;, &#39; Somers G.&#39;, &#39; Stassun K.G.&#39;, &#39; Valenti J.&#39;, &#39; Vrba F.J.&#39;]
+[&#39;Stauffer J.&#39;, &#39; Rebull L.&#39;, &#39; Bouvier J.&#39;, &#39; Hillenbrand L.A.&#39;, &#39; Collier-Cameron A.,Pinsonneault M.&#39;, &#39; Aigrain S.&#39;, &#39; Barrado D.&#39;, &#39; Bouy H.&#39;, &#39; Ciardi D.&#39;, &#39; Cody A.M.,David T.&#39;, &#39; Micela G.&#39;, &#39; Soderblom D.&#39;, &#39; Somers G.&#39;, &#39; Stassun K.G.&#39;, &#39; Valenti J.,Vrba F.J.&#39;]
 We use high-quality K2 light curves for hundreds of stars in the Pleiades to better understand the angular momentum evolution and magnetic dynamos of young low-mass stars. The K2 light curves provide not only rotational periods but also detailed information from the shape of the phased light curve that was not available in previous studies. A slowly rotating sequence begins at (V-K_s_)_0_~1.1 (spectral type F5) and ends at (V-K_s_)_0_~3.7 (spectral type K8), with periods rising from ~2 to ~11 days in that interval. A total of 52% of the Pleiades members in that color interval have periods within 30% of a curve defining the slow sequence; the slowly rotating fraction decreases significantly redward of (V-K_s_)_0_=2.6. Nearly all of the slow-sequence stars show light curves that evolve significantly on timescales less than the K2 campaign duration. The majority of the FGK Pleiades members identified as photometric binaries are relatively rapidly rotating, perhaps because binarity inhibits star-disk angular momentum loss mechanisms during pre-main-sequence evolution. The fully convective late M dwarf Pleiades members (5.0&lt;(V-K_s_)_0_&lt;6.0) nearly always show stable light curves, with little spot evolution or evidence of differential rotation. During pre-main-sequence evolution from ~3Myr (NGC2264 age) to ~125Myr (Pleiades age), stars of 0.3M_{Sun}_ shed about half of their angular momentum, with the fractional change in period between 3 and 125Myr being nearly independent of mass for fully convective stars. Our data also suggest that very low mass binaries form with rotation periods more similar to each other and faster than would be true if drawn at random from the parent population of single stars.
   ***  
 
@@ -884,7 +913,7 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 Precise measurements of eclipsing binary parameters and statistical studies of young clusters have suggested that some magnetically active low-mass dwarfs possess radii inflated by ~5%-15% relative to theoretical expectations. If true, this effect should be pronounced in young open clusters, due to the rapid rotation and strong magnetic activity of their most extreme members. We explore this possibility by determining empirical radii for 83 members of the nearby Pleiades open cluster, using spectral energy distribution fitting to establish F_bol_ with a typical accuracy of ~3% together with color and spectro-photometric indices to determine T_eff_. We find several Pleiades members with radii inflated above radius-T_eff_ models from state-of-the-art calculations, and apparent dispersions in radii for the K-dwarfs of the cluster. Moreover, we demonstrate that this putative radius inflation correlates strongly with rotation rate, consistent with inflation of young stars by magnetic activity and/or starspots. We argue that this signal is not a consequence of starspot-induced color anomalies, binarity, or depth effects in the cluster, employing Gaia DR1 distances as a check. Finally, we consider the lithium abundances of these stars, demonstrating a triple correlation between rotation rate, radius inflation, and enhanced lithium abundance. Our result-already significant to ~99.99% confidence-provides strong support for a magnetic origin of the inflated radii and lithium dispersion observed in young, low-mass stars.
   ***  
 
-[&#39;Jao W.-C.&#39;, &#39; Henry T.J.&#39;, &#39; Winters J.G.&#39;, &#39; Subasavage J.P.&#39;, &#39; Riedel A.R.&#39;, &#39; Silverstein M.L.&#39;, &#39; Ianna P.A.&#39;]
+[&#39;Jao W.-C.&#39;, &#39; Henry T.J.&#39;, &#39; Winters J.G.&#39;, &#39; Subasavage J.P.&#39;, &#39; Riedel A.R.,Silverstein M.L.&#39;, &#39; Ianna P.A.&#39;]
 Parallaxes, proper motions, and optical photometry are presented for 51 systems consisting of 37 cool subdwarf and 14 additional high proper motion systems. Thirty-seven systems have parallaxes reported for the first time, 15 of which have proper motions of at least 1&quot;/yr. The sample includes 22 newly identified cool subdwarfs within 100 pc, of which three are within 25 pc, and an additional five subdwarfs from 100 to 160 pc. Two systems-LSR 1610-0040 AB and LHS 440 AB-are close binaries exhibiting clear astrometric perturbations that will ultimately provide important masses for cool subdwarfs. We use the accurate parallaxes and proper motions provided here, combined with additional data from our program and others, to determine that effectively all nearby stars with tangential velocities greater than 200 km/s are subdwarfs. We compare a sample of 167 confirmed cool subdwarfs to nearby main sequence dwarfs and Pleiades members on an observational Hertzsprung-Russell diagram using M_V_ versus (V-K_s_) to map trends of age and metallicity. We find that subdwarfs are clearly separated for spectral types K5-M5, indicating that the low metallicities of subdwarfs set them apart in the H-R diagram for (V-K_s_)=3-6. We then apply the tangential velocity cutoff and the subdwarf region of the H-R diagram to stars with parallaxes from Gaia Data Release 1 and the MEarth Project to identify a total of 29 new nearby subdwarf candidates that fall clearly below the main sequence.
   ***  
 
@@ -892,15 +921,15 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 Detection of transiting exoplanets around young stars is more difficult than for older systems owing to increased stellar variability. Nine young open cluster planets have been found in the K2 data, but no single analysis pipeline identified all planets. We have developed a transit search pipeline for young stars that uses a transit-shaped notch and quadratic continuum in a 12 or 24 hr window to fit both the stellar variability and the presence of a transit. In addition, for the most rapid rotators (P_rot_&lt;2 days) we model the variability using a linear combination of observed rotations of each star. To maximally exploit our new pipeline, we update the membership for four stellar populations observed by K2 (Upper Scorpius, Pleiades, Hyades, Praesepe) and conduct a uniform search of the members. We identify all known transiting exoplanets in the clusters, 17 eclipsing binaries, one transiting planet candidate orbiting a potential Pleiades member, and three orbiting unlikely members of the young clusters. Limited injection recovery testing on the known planet hosts indicates that for the older Praesepe systems we are sensitive to additional exoplanets as small as 1-2 R_{Earth}_, and for the larger Upper Scorpius planet host (K2-33) our pipeline is sensitive to ~4 R_{Earth}_ transiting planets. The lack of detected multiple systems in the young clusters is consistent with the expected frequency from the original Kepler sample, within our detection limits. With a robust pipeline that detects all known planets in the young clusters, occurrence rate testing at young ages is now possible.
   ***  
 
-[&#39;Rebull L.M.&#39;, &#39; Stauffer J.R.&#39;, &#39; Cody A.M.&#39;, &#39; Hillenbrand L.A.&#39;, &#39; David T.J.&#39;, &#39; Pinsonneault M.&#39;]
+[&#39;Rebull L.M.&#39;, &#39; Stauffer J.R.&#39;, &#39; Cody A.M.&#39;, &#39; Hillenbrand L.A.&#39;, &#39; David T.J.,Pinsonneault M.&#39;]
 We present an analysis of K2 light curves (LCs) for candidate members of the young Upper Sco (USco) association (~8 Myr) and the neighboring {rho} Oph embedded cluster (~1 Myr). We establish ~1300 stars as probable members, ~80% of which are periodic. The phased LCs have a variety of shapes which can be attributed to physical causes ranging from stellar pulsation and stellar rotation to disk-related phenomena. We identify and discuss a number of observed behaviors. The periods are ~0.2-30 days with a peak near 2 days and the rapid period end nearing breakup velocity. M stars in the young USco region rotate systematically faster than GK stars, a pattern also present in K2 data for the older Pleiades and Praesepe systems. At higher masses (types FGK), the well-defined period-color relationship for slowly rotating stars seen in the Pleiades and Praesepe systems is not yet present in USco. Circumstellar disks are present predominantly among the more slowly rotating M stars in USco, with few disks in the subday rotators. However, M dwarfs with disks rotate faster on average than FGK systems with disks. For four of these disked M dwarfs, we provide direct evidence for disk locking based on the K2 LC morphologies. Our preliminary analysis shows a relatively mass-independent spin-up by a factor of ~3.5 between USco and the Pleiades, then mass-dependent spin-down between Pleiades and Praesepe.
   ***  
 
-[&#39;Hillenbrand L.A.&#39;, &#39; Zhang C.&#39;, &#39; Riddle R.L.&#39;, &#39; Baranec C.&#39;, &#39; Ziegler C.&#39;, &#39; Law N.M.&#39;, &#39; Stauffer J.&#39;]
+[&#39;Hillenbrand L.A.&#39;, &#39; Zhang C.&#39;, &#39; Riddle R.L.&#39;, &#39; Baranec C.&#39;, &#39; Ziegler C.&#39;, &#39; Law N.M.,Stauffer J.&#39;]
 We identify and roughly characterize 66 candidate binary star systems in the Pleiades, Praesepe, and NGC 2264 star clusters, based on robotic adaptive optics imaging data obtained using Robo-AO at the Palomar 60&quot; telescope. Only ~10% of our imaged pairs were previously known. We detect companions at red optical wavelengths, with physical separations ranging from a few tens to a few thousands of au. A three-sigma contrast curve generated for each final image provides upper limits to the brightness ratios for any undetected putative companions. The observations are sensitive to companions with a maximum contrast of ~6^m^ at larger separations. At smaller separations, the mean (best) raw contrast at 2&quot; is 3.8^m^ (6^m^), at 1&quot; is 3.0^m^ (4.5^m^), and at 0.5&quot; is 1.9^m^ (3^m^). Point-spread function subtraction can recover nearly the full contrast in the closer separations. For detected candidate binary pairs, we report separations, position angles, and relative magnitudes. Theoretical isochrones appropriate to the Pleiades and Praesepe clusters are then used to determine the corresponding binary mass ratios, which range from 0.2 to 0.9 in q=m_2_/m_1_. For our sample of roughly solar-mass (FGK type) stars in NGC 2264 and sub-solar-mass (K and early M-type) primaries in the Pleiades and Praesepe, the overall binary frequency is measured at ~15.5%+/-2%. However, this value should be considered a lower limit to the true binary fraction within the specified separation and mass ratio ranges in these clusters, given that complex and uncertain corrections for sensitivity and completeness have not been applied.
   ***  
 
-[&#39;Anthony-Twarog B.J.&#39;, &#39; Deliyannis C.P.&#39;, &#39; Harmer D.&#39;, &#39; Lee-Brown D.B.&#39;, &#39; Steinhauer A.&#39;, &#39; Sun Q.&#39;, &#39; Twarog B.A.&#39;]
+[&#39;Anthony-Twarog B.J.&#39;, &#39; Deliyannis C.P.&#39;, &#39; Harmer D.&#39;, &#39; Lee-Brown D.B.,Steinhauer A.&#39;, &#39; Sun Q.&#39;, &#39; Twarog B.A.&#39;]
 Hydra spectra of 85 G-K dwarfs in the young cluster M35 near the Li 6708 {AA} line region are analyzed. From velocities and Gaia astrometry, 78 are likely single-star members that, combined with previous work, produce 108 members with T_eff_ ranging from 6150 to 4000 K as defined by multicolor, broadband photometry, E(B-V)=0.20, and [Fe/H]=-0.15, though there are indications the metallicity may be closer to solar. The Lithium abundance A(Li) follows a well-delineated decline from 3.15 for the hottest stars to upper limits =&lt;1.0 among the coolest dwarfs. Contrary to earlier work, M35 includes single stars at systematically higher A(Li) than the mean cluster relation. This subset exhibits higher V_ROT_ than the more Li-depleted sample and, from photometric rotation periods, is dominated by stars classed as convective (C); all others are interface (I) stars. The cool, high-Li rapid rotators (RRs) are consistent with models that simultaneously consider rapid rotation and radius inflation; RRs hotter than the Sun exhibit excess Li depletion, as predicted by the models. The A(Li) distribution with color and rotation period, when compared to the Hyades/Praesepe and the Pleiades, is consistent with gyrochronological analysis placing M35&#39;s age between the older M34 and younger Pleiades. However, the Pleiades display a more excessive range in A(Li) and rotation period than M35 on the low-Li, slow-rotation side of the distribution, with supposedly younger stars at a given T_eff_ in the Pleiades spinning slower, with A(Li) reduced by more than a factor of four compared to M35.
   ***  
 
@@ -908,11 +937,15 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 Pisces-Eridanus (Psc-Eri), a nearby (d~80-226 pc) stellar stream stretching across ~120{deg} of the sky, was recently discovered with Gaia data. The stream was claimed to be ~1 Gyr old, which would make it an exceptional discovery for stellar astrophysics, as star clusters of that age are rare and tend to be distant, limiting their utility as benchmark samples. We test this old age for Psc-Eri in two ways. First, we compare the rotation periods for 101 low-mass members (measured using time-series photometry from the Transiting Exoplanet Survey Satellite) to those of well-studied open clusters. Second, we identify 34 new high-mass candidate members, including the notable stars {lambda} Tauri (an Algol-type eclipsing binary) and HD 1160 (host to a directly imaged object near the hydrogen-burning limit). We conduct an isochronal analysis of the color-magnitude data for these highest-mass members, again comparing our results to those for open clusters. Both analyses show that the stream has an age consistent with that of the Pleiades, i.e., ~120 Myr. This makes the Psc-Eri stream an exciting source of young benchmarkable stars and, potentially, exoplanets located in a more diffuse environment that is distinct from that of the Pleiades and of other dense star clusters.
   ***  
 
-[&#39;Rebull L.M.&#39;, &#39; Stauffer J.R.&#39;, &#39; Cody A.M.&#39;, &#39; Hillenbrand L.A.&#39;, &#39; Bouvier J.&#39;, &#39; Roggero N.&#39;, &#39; David T.J.&#39;]
+[&#39;Rebull L.M.&#39;, &#39; Stauffer J.R.&#39;, &#39; Cody A.M.&#39;, &#39; Hillenbrand L.A.&#39;, &#39; Bouvier J.,Roggero N.&#39;, &#39; David T.J.&#39;]
 We present an analysis of K2 light curves (LCs) from Campaigns 4 and 13 for members of the young (~3Myr) Taurus association, in addition to an older (~30Myr) population of stars that is largely in the foreground of the Taurus molecular clouds. Out of 156 of the highest-confidence Taurus members, we find that 81% are periodic. Our sample of young foreground stars is biased and incomplete, but nearly all stars (37/38) are periodic. The overall distribution of rotation rates as a function of color (a proxy for mass) is similar to that found in other clusters: the slowest rotators are among the early M spectral types, with faster rotation toward both earlier FGK and later M types. The relationship between period and color/mass exhibited by older clusters such as the Pleiades is already in place by Taurus age. The foreground population has very few stars but is consistent with the USco and Pleiades period distributions. As found in other young clusters, stars with disks rotate on average slower, and few with disks are found rotating faster than ~2days. The overall amplitude of the LCs decreases with age, and higher-mass stars have generally lower amplitudes than lower-mass stars. Stars with disks have on average larger amplitudes than stars without disks, though the physical mechanisms driving the variability and the resulting LC morphologies are also different between these two classes.
   ***  
 
-[&#39;Micela G.&#39;, &#39; Sciortino S.&#39;, &#39; Vaiana G.S.&#39;, &#39; Harnden F.R.&#39;, &#39; Rosner R.&#39;, &#39; Schmitt J.H.M.M.&#39;]
+[&#39;Boyle A.W.&#39;, &#39; Bouma L.G.&#39;]
+On the pre-main sequence, the rotation rates of Sun-like stars are dictated by the interplay between the protostellar disk and the star&#39;s contraction. At ages exceeding 100Myr, magnetic spindown erases the initial stellar spin rate and enables rotation-based age dating (gyrochronology). The exact time at which the transition between these two regimes occurs depends on stellar mass, and has been challenging to empirically resolve due to a lack of viable calibration clusters. The {alpha}Persei open cluster (t~80Myr, d~170pc) may provide the needed calibrator, but recent analyses of the Gaia data have provided wildly varying views of its age and spatial extent. As such, we analyze a combination of TESS, Gaia, and LAMOST data to calibrate gyrochronology at the age of {alpha}Per and to uncover the cluster&#39;s true morphology. By assembling a list of rotationally confirmed {alpha}Per members, we provide strong evidence that {alpha}Per is part of a larger complex of similarly aged stars. Through kinematic back-integration, we show that the most diffuse components of {alpha}Per were five times closer together 50Myr ago. Finally, we use our stellar rotation periods to derive a relative gyrochronology age for {alpha}Per of 67%{+/-}12% the age of the Pleiades, which yields 86{+/-}16Myr given current knowledge. We show that by this age, stars more massive than ~0.8M{sun} have converged to form a well-defined slow sequence.
+  ***  
+
+[&#39;Micela G.&#39;, &#39; Sciortino S.&#39;, &#39; Vaiana G.S.&#39;, &#39; Harnden F.R.&#39;, &#39; Rosner R.,Schmitt J.H.M.M.&#39;]
 Coronal X-ray emission of the Pleiades stars is investigated, and maximum likelihood, integral X-ray luminosity functions are computed for Pleiades members in selected color-index ranges. A detailed search is conducted for long-term variability in the X-ray emission of those stars observed more than once. An overall comparison of the survey results with those of previous surveys confirms the ubiquity of X-ray emission in the Pleiades cluster stars and its higher rate of emission with respect to older stars. It is found that the X-ray emission from dA and early dF stars cannot be proven to be dissimilar to that of Hyades and field stars of the same spectral type. The Pleiades cluster members show a real rise of the X-ray luminosity from dA stars to early dF stars. X-ray emission for the young, solar-like Pleiades stars is about two orders of magnitude more intense than for the nearby solar-like stars.
   ***  
 
@@ -924,23 +957,23 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 We present the results of a five month photometric time-series survey for stellar rotation over a 40&#39;x40&#39; field centered on the 150Myr open cluster M35 (=NGC 2168). We report rotation periods for 441 stars within this field and determine their cluster membership and binarity based on a decade-long radial velocity survey, proper-motion measurements, and multiband photometric observations. We find that 310 of the stars with measured rotation periods are late-type members of M35. The distribution of rotation periods for cluster members span more than 2 orders of magnitude from ~0.1 to 15 days, not constrained by the sampling frequency and the timespan of the survey. With an age between the zero-age main sequence and the Hyades, and with ~6 times more rotation periods than measured in the Pleiades, M35 permit detailed studies of early rotational evolution of late-type stars. Nearly 80% of the 310 rotators lie on two distinct sequences in the color-period plane, and define clear relations between stellar rotation period and color (mass). The M35 color-period diagram enables us to determine timescales for the transition between the two rotational states, of ~60Myr and ~140Myr for G and K dwarfs, respectively.
   ***  
 
-[&#39;Cottaar M.&#39;, &#39; Covey K.R.&#39;, &#39; Meyer M.R.&#39;, &#39; Nidever D.L.&#39;, &#39; Stassun K.G.&#39;, &#39; Foster J.B.&#39;, &#39; Tan J.C.&#39;, &#39; Chojnowski S.D.&#39;, &#39; da Rio N.&#39;, &#39; Flaherty K.M.&#39;, &#39; Frinchaboy P.M.&#39;, &#39; Skrutskie M.&#39;, &#39; Majewski S.R.&#39;, &#39; Wilson J.C.&#39;, &#39; Zasowski G.&#39;]
+[&#39;Cottaar M.&#39;, &#39; Covey K.R.&#39;, &#39; Meyer M.R.&#39;, &#39; Nidever D.L.&#39;, &#39; Stassun K.G.,Foster J.B.&#39;, &#39; Tan J.C.&#39;, &#39; Chojnowski S.D.&#39;, &#39; da Rio N.&#39;, &#39; Flaherty K.M.,Frinchaboy P.M.&#39;, &#39; Skrutskie M.&#39;, &#39; Majewski S.R.&#39;, &#39; Wilson J.C.&#39;, &#39; Zasowski G.&#39;]
 Over two years, 8859 high-resolution H-band spectra of 3493 young (1-10Myr) stars were gathered by the multi-object spectrograph of the APOGEE project as part of the IN-SYNC ancillary program of the SDSS-III survey. Here we present the forward modeling approach used to derive effective temperatures, surface gravities, radial velocities, rotational velocities, and H-band veiling from these near-infrared spectra. We discuss in detail the statistical and systematic uncertainties in these stellar parameters. In addition, we present accurate extinctions by measuring the E(J-H) of these young stars with respect to the single-star photometric locus in the Pleiades. Finally, we identify an intrinsic stellar radius spread of about 25% for late-type stars in IC 348 using three (nearly) independent measures of stellar radius, namely, the extinction-corrected J-band magnitude, the surface gravity, and the Rsini from the rotational velocities and literature rotation periods. We exclude that this spread is caused by uncertainties in the stellar parameters by showing that the three estimators of stellar radius are correlated, so that brighter stars tend to have lower surface gravities and larger Rsini than fainter stars at the same effective temperature.
   ***  
 
-[&#39;Meng H.Y.A.&#39;, &#39; Su K.Y.L.&#39;, &#39; Rieke G.H.&#39;, &#39; Rujopakarn W.&#39;, &#39; Myers G.&#39;, &#39; Cook M.&#39;, &#39; Erdelyi E.&#39;, &#39; Maloney C.&#39;, &#39; McMath J.&#39;, &#39; Persha G.&#39;, &#39; Poshyachinda S.&#39;, &#39; Reichart D.E.&#39;]
+[&#39;Meng H.Y.A.&#39;, &#39; Su K.Y.L.&#39;, &#39; Rieke G.H.&#39;, &#39; Rujopakarn W.&#39;, &#39; Myers G.&#39;, &#39; Cook M.,Erdelyi E.&#39;, &#39; Maloney C.&#39;, &#39; McMath J.&#39;, &#39; Persha G.&#39;, &#39; Poshyachinda S.,Reichart D.E.&#39;]
 Luminous debris disks of warm dust in the terrestrial planet zones around solar-like stars were recently found to vary, which is indicative of ongoing large-scale collisions of rocky objects. We use Spitzer 3.6 and 4.5um time-series observations in 2012 and 2013 (extended to 2014 in one case) to monitor five more debris disks with unusually high fractional luminosities (&quot;extreme debris disk&quot;), including P1121 in the open cluster M47 (80 Myr), HD15407A in the AB Dor moving group (80Myr), HD 23514 in the Pleiades (120Myr), HD145263 in the Upper Sco Association (10Myr), and the field star BD+20 307 (&gt;~1Gyr). Together with the published results for ID8 in NGC2547 (35Myr), this makes the first systematic time-domain investigation of planetary impacts outside the solar system. Significant variations with timescales shorter than a year are detected in five out of the six extreme debris disks we monitored. However, different systems show diverse sets of characteristics in the time domain, including long-term decay or growth, disk temperature variations, and possible periodicity.
   ***  
 
-[&#39;Covey K.R.&#39;, &#39; Agueros M.A.&#39;, &#39; Law N.M.&#39;, &#39; Liu J.&#39;, &#39; Ahmadi A.&#39;, &#39; Laher R.&#39;, &#39; Levitan D.&#39;, &#39; Sesar B.&#39;, &#39; Surace J.&#39;]
+[&#39;Covey K.R.&#39;, &#39; Agueros M.A.&#39;, &#39; Law N.M.&#39;, &#39; Liu J.&#39;, &#39; Ahmadi A.&#39;, &#39; Laher R.,Levitan D.&#39;, &#39; Sesar B.&#39;, &#39; Surace J.&#39;]
 Stellar rotation periods (P_rot_) measured in open clusters have proved to be extremely useful for studying stars&#39; angular momentum content and rotationally driven magnetic activity, which are both age- and mass-dependent processes. While P_rot_ measurements have been obtained for hundreds of solar-mass members of the Pleiades, measurements exist for only a few low-mass (&lt;0.5 M_{sun}_) members of this key laboratory for stellar evolution theory. To fill this gap, we report P_rot_ for 132 low-mass Pleiades members (including nearly 100 with M=&lt;0.45 M_{sun}_), measured from photometric monitoring of the cluster conducted by the Palomar Transient Factory in late 2011 and early 2012. These periods extend the portrait of stellar rotation at 125 Myr to the lowest-mass stars and re-establish the Pleiades as a key benchmark for models of the transport and evolution of stellar angular momentum. Combining our new P_rot_ with precise BVIJHK photometry reported by Stauffer et al. (2007, J/ApJS/172/663) and Kamai et al. (2014, J/AJ/148/30), we investigate known anomalies in the photometric properties of K and M Pleiades members. We confirm the correlation detected by Kamai et al. between a star&#39;s P_rot_ and position relative to the main sequence in the cluster&#39;s color-magnitude diagram. We find that rapid rotators have redder (V-K) colors than slower rotators at the same V, indicating that rapid and slow rotators have different binary frequencies and/or photospheric properties. We find no difference in the photometric amplitudes of rapid and slow rotators, indicating that asymmetries in the longitudinal distribution of starspots do not scale grossly with rotation rate.
   ***  
 
-[&#39;Rebull L.M.&#39;, &#39; Stauffer J.R.&#39;, &#39; Hillenbrand L.A.&#39;, &#39; Cody A.M.&#39;, &#39; Bouvier J.&#39;, &#39; Soderblom D.R.&#39;, &#39; Pinsonneault M.&#39;, &#39; Hebb L.&#39;]
+[&#39;Rebull L.M.&#39;, &#39; Stauffer J.R.&#39;, &#39; Hillenbrand L.A.&#39;, &#39; Cody A.M.&#39;, &#39; Bouvier J.,Soderblom D.R.&#39;, &#39; Pinsonneault M.&#39;, &#39; Hebb L.&#39;]
 We have Fourier-analyzed 941 K2 light curves (LCs) of likely members of Praesepe, measuring periods for 86% and increasing the number of rotation periods (P) by nearly a factor of four. The distribution of P versus (V-Ks), a mass proxy, has three different regimes: (V-Ks)&lt;1.3, where the rotation rate rapidly slows as mass decreases; 1.3&lt;(V-Ks)&lt;4.5, where the rotation rate slows more gradually as mass decreases; and (V-Ks)&gt;4.5, where the rotation rate rapidly increases as mass decreases. In this last regime, there is a bimodal distribution of periods, with few between ~2 and ~10 days. We interpret this to mean that once M stars start to slow down, they do so rapidly. The K2 period-color distribution in Praesepe (~790Myr) is much different than that in the Pleiades (~125Myr) for late F, G, K, and early-M stars; the overall distribution moves to longer periods and is better described by two line segments. For mid-M stars, the relationship has a similarly broad scatter and is steeper in Praesepe. The diversity of LCs and of periodogram types is similar in the two clusters; about a quarter of the periodic stars in both clusters have multiple significant periods. Multi- periodic stars dominate among the higher masses, starting at a bluer color in Praesepe ((V-Ks)~1.5) than in the Pleiades ((V-Ks)~2.6). In Praesepe, there are relatively more LCs that have two widely separated periods, {Delta}P&gt;6days. Some of these could be examples of M star binaries where one star has spun down but the other has not.
   ***  
 
-[&#39;Zhang Z.&#39;, &#39; Liu M.C.&#39;, &#39; Best W.M.J.&#39;, &#39; Magnier E.A.&#39;, &#39; Aller K.M.&#39;, &#39; Chambers K.C.&#39;, &#39; Draper P.W.&#39;, &#39; Flewelling H.&#39;, &#39; Hodapp K.W.&#39;, &#39; Kaiser N.&#39;, &#39; Kudritzki R.-P.&#39;, &#39; Metcalfe N.&#39;, &#39; Wainscoat R.J.&#39;, &#39; Waters C.&#39;]
+[&#39;Zhang Z.&#39;, &#39; Liu M.C.&#39;, &#39; Best W.M.J.&#39;, &#39; Magnier E.A.&#39;, &#39; Aller K.M.&#39;, &#39; Chambers K.C.,Draper P.W.&#39;, &#39; Flewelling H.&#39;, &#39; Hodapp K.W.&#39;, &#39; Kaiser N.&#39;, &#39; Kudritzki R.-P.,Metcalfe N.&#39;, &#39; Wainscoat R.J.&#39;, &#39; Waters C.&#39;]
 We are conducting a proper-motion survey for young brown dwarfs in the Taurus-Auriga molecular cloud based on the Pan-STARRS1 3{pi} Survey. Our search uses multi-band photometry and astrometry to select candidates, and is wider (370deg^2^) and deeper (down to ~3M_Jup_) than previous searches. We present here our search methods and spectroscopic follow-up of our high-priority candidates. Since extinction complicates spectral classification, we have developed a new approach using low-resolution (R~100) near-infrared spectra to quantify reddening-free spectral types, extinctions, and gravity classifications for mid-M to late-L ultracool dwarfs (&lt;=100-3M_Jup_ in Taurus). We have discovered 25 low-gravity (VL-G) and the first 11 intermediate-gravity (INT-G) substellar (M6-L1) members of Taurus, constituting the largest single increase of Taurus brown dwarfs to date. We have also discovered 1 new Pleiades member and 13 new members of the Perseus OB2 association, including a candidate very wide separation (58kau) binary. We homogeneously reclassify the spectral types and extinctions of all previously known Taurus brown dwarfs. Altogether our discoveries have thus far increased the substellar census in Taurus by ~40% and added three more L-type members (&lt;~5-10M_Jup_). Most notably, our discoveries reveal an older (&gt;10Myr) low-mass population in Taurus, in accord with recent studies of the higher-mass stellar members. The mass function appears to differ between the younger and older Taurus populations, possibly due to incompleteness of the older stellar members or different star formation processes.
   ***  
 
@@ -965,10 +998,10 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
   ***  
 
 [&#39;Micela G.&#39;, &#39; Sciortino S.&#39;, &#39; Kashyap V.&#39;, &#39; Harnden F.R.&#39;, &#39; Rosner R.&#39;]
-Of 214 stars in the core of the Pleiades, 99 were detected in X-rays with the ROSAT PSPC. This catalog lists the characteristics of the stars taken from the literature, in table1.dat and the rotational and X-ray characteristics in table5.dat.
+Of 214 stars in the core of the Pleiades, 99 were detected in X-rays with the ROSAT PSPC. This catalog lists the characteristics of the stars taken from the literature, in table1.dat and the rotational and X-ray characteristics in table5.dat. Introduction: The nucleus of the composite catalog used in this study is the catalog compiled from the published literature for the Einstein investigations of the Pleiades (Micela et al. 1990). This list has been extended by the results of recent surveys to a completeness limit of visual magnitude about 18.
   ***  
 
-[&#39;Stauffer J.R.&#39;, &#39; Hartmann L.W.&#39;, &#39; Fazio G.G.&#39;, &#39; Allen L.E.&#39;, &#39; Patten B.M.&#39;, &#39; Lowrance P.J.&#39;, &#39; Hurt R.L.&#39;, &#39; Rebull L.M.&#39;, &#39; Cutri R.M.&#39;, &#39; Ramirez S.V.&#39;, &#39; Young E.T.&#39;, &#39; Rieke G.H.&#39;, &#39; Gorlova N.I.&#39;, &#39; Muzerolle J.C.&#39;, &#39; Slesnick C.L.&#39;, &#39; Skrutskie M.F.&#39;]
+[&#39;Stauffer J.R.&#39;, &#39; Hartmann L.W.&#39;, &#39; Fazio G.G.&#39;, &#39; Allen L.E.&#39;, &#39; Patten B.M.,Lowrance P.J.&#39;, &#39; Hurt R.L.&#39;, &#39; Rebull L.M.&#39;, &#39; Cutri R.M.&#39;, &#39; Ramirez S.V.,Young E.T.&#39;, &#39; Rieke G.H.&#39;, &#39; Gorlova N.I.&#39;, &#39; Muzerolle J.C.&#39;, &#39; Slesnick C.L.,Skrutskie M.F.&#39;]
 We make use of new near- and mid-IR photometry of the Pleiades cluster in order to help identify proposed cluster members. We also use the new photometry with previously published photometry to define the single-star main-sequence locus at the age of the Pleiades in a variety of color-magnitude planes. The new near- and mid-IR photometry extend effectively 2 mag deeper than the 2MASS All-Sky Point Source catalog, and hence allow us to select a new set of candidate very low-mass and substellar mass members of the Pleiades in the central square degree of the cluster. We identify 42 new candidate members fainter than K_s_=14 (corresponding to 0.1M_{sun}_). These candidate members should eventually allow a better estimate of the cluster mass function to be made down to of order 0.04M_{sun}_. We also use new IRAC data, in particular the images obtained at 8um, in order to comment briefly on interstellar dust in and near the Pleiades.
   ***  
 
@@ -980,7 +1013,7 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 A colour magnitude diagram to V=20 is given for 395 stars in the heavily reddened open cluster NGC 6649. The absorption-corrected distance modulus is 11.00+/-0.15mag (1585+/-110pc) assuming R(OB)=3.27+/-0.10 for NGC 6649 and based on a ZAMS with zero point referenced to a Pleiades distance modulus of 5.56mag. The range of reddening over the 5arcmin diameter of the cluster is {DELTA}E(B-V)=0.3mag. NGC 6649 contains the double mode Cepheid V367 Sct, which has &lt;M_V_&gt;=-3.80+/-0.06 and &lt;B_0_&gt;-&lt;V_0_&gt;=0.58+/-0.02.
   ***  
 
-[&#39;Pinfield D.J.&#39;, &#39; Hodgkin S.T.&#39;, &#39; Jameson R.F.&#39;, &#39; Cossburn M.R.&#39;, &#39; Hambly N.C.&#39;, &#39; Devereux N.&#39;]
+[&#39;Pinfield D.J.&#39;, &#39; Hodgkin S.T.&#39;, &#39; Jameson R.F.&#39;, &#39; Cossburn M.R.&#39;, &#39; Hambly N.C.,Devereux N.&#39;]
 We present the results of a six-square-degree Pleiades survey in I and Z, which is photometrically complete to approximately I_KP_=19.2mag (I_C_=19.6 in the Pleiades). We remove non-cluster contamination on the basis of proper motions and infrared photometry, and present 339 candidate cluster members, 30 of which are fainter than I_KP_=17.5, and are thus strong brown-dwarf candidates.
   ***  
 
@@ -988,7 +1021,7 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 We have developed the techniques required to use Naylor&#39;s optimal photometry algorithm of to create colour-magnitude diagrams with well-defined completeness functions. To achieve this we first demonstrate that the optimal extraction is insensitive to uncertainties in the measured position of the star. We then show how to correct the optimally extracted fluxes such that they correspond to those measured in a large aperture, so aperture photometry of standard stars can be used to place the measurements on a standard system. The technique simultaneously removes the effects of a position-dependent point spread function. Finally, we develop a method called &#39;ghosting&#39;, which calculates the completeness corrections in the absence of an accurate description of the point spread function. We apply these techniques to the young cluster NGC 2547 (=C0809-491), and use an X-ray-selected sample to find an age of 20-35Myr and an intrinsic distance modulus of 8.00-8.15mag. We use these isochrones to select members from our photometric surveys. Our derived luminosity function shows a well-defined Wielen dip, making NGC 2547 the youngest cluster in which such a feature has been observed. Our derived mass function spans the range 0.1-6M_{sun}_ and is similar to that for the field and the older, more massive clusters M35 and the Pleiades, supporting the idea of a universal initial mass function.
   ***  
 
-[&#39;Pinfield D.J.&#39;, &#39; Dobbie P.D.&#39;, &#39; Jameson R.F.&#39;, &#39; Steele I.A.&#39;, &#39; Jones H.R.A.&#39;, &#39; Katsiyannis A.C.&#39;]
+[&#39;Pinfield D.J.&#39;, &#39; Dobbie P.D.&#39;, &#39; Jameson R.F.&#39;, &#39; Steele I.A.&#39;, &#39; Jones H.R.A.,Katsiyannis A.C.&#39;]
 We present near-infrared J-, H- and K-band photometry and optical spectroscopy of low-mass star and brown dwarf (BD) candidates in the Pleiades and Praesepe open clusters. We flag non-members from their position in K, I-K and J, J-K colour-magnitude diagrams (CMDs), and J-H, H-K two-colour diagrams.
   ***  
 
@@ -1012,7 +1045,7 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 Rotation periods from Kepler K2 are combined with projected rotation velocities from the WIYN 3.5m telescope to determine projected radii for fast-rotating, low-mass (0.1&lt;=M/M_{sun}_&lt;=0.6) members of the Praesepe cluster. A maximum likelihood analysis that accounts for observational uncertainties, binarity, and censored data yields marginal evidence for radius inflation - the average radius of these stars is 6+/-4 per cent larger at a given luminosity than predicted by commonly used evolutionary models. This overradius is smaller (at 2{sigma} confidence) than was found for similar stars in the younger Pleiades using a similar analysis; any decline appears due to changes occurring in higher mass (&gt;0.25M_{sun}_) stars. Models incorporating magnetic inhibition of convection predict an overradius, but do not reproduce this mass dependence unless superequipartition surface magnetic fields are present at lower masses. Models incorporating flux blocking by starspots can explain the mass dependence but there is no evidence that spot coverage diminishes between the Pleiades and Praesepe samples to accompany the decline in overradius. The fastest rotating stars in both Praesepe and the Pleiades are significantly smaller than the slowest rotators for which a projected radius can be measured. This may be a selection effect caused by more efficient angular momentum loss in larger stars leading to their progressive exclusion from the analysed samples. Our analyses assume random spin-axis orientations; any alignment in Praesepe, as suggested by Kovacs, is strongly disfavoured by the broad distribution of projected radii.
   ***  
 
-[&#39;Gillen E.&#39;, &#39; Briegal J.T.&#39;, &#39; Hodgkin S.T.&#39;, &#39; Foreman-Mackey D.&#39;, &#39; Van Leeuwen F.&#39;, &#39; Jackman J.A.G.&#39;, &#39; McCormac J.&#39;, &#39; West R.G.&#39;, &#39; Queloz D.&#39;, &#39; Bayliss D.&#39;, &#39; Goad M.R.&#39;, &#39; Watson C.A.&#39;, &#39; Wheatley P.J.&#39;, &#39; Belardi C.&#39;, &#39; Burleigh M.R.&#39;, &#39; Casewell S.L.&#39;, &#39; Jenkins J.S.&#39;, &#39; Raynard L.&#39;, &#39; Smith A.M.S.&#39;, &#39; Tilbrook R.H.&#39;, &#39; Vines J.I.&#39;]
+[&#39;Gillen E.&#39;, &#39; Briegal J.T.&#39;, &#39; Hodgkin S.T.&#39;, &#39; Foreman-Mackey D.&#39;, &#39; Van Leeuwen F.,Jackman J.A.G.&#39;, &#39; McCormac J.&#39;, &#39; West R.G.&#39;, &#39; Queloz D.&#39;, &#39; Bayliss D.&#39;, &#39; Goad M.R.,Watson C.A.&#39;, &#39; Wheatley P.J.&#39;, &#39; Belardi C.&#39;, &#39; Burleigh M.R.&#39;, &#39; Casewell S.L.,Jenkins J.S.&#39;, &#39; Raynard L.&#39;, &#39; Smith A.M.S.&#39;, &#39; Tilbrook R.H.&#39;, &#39; Vines J.I.&#39;]
 We determine rotation periods for 127 stars in the ~115-Myr-old Blanco 1 open cluster using ~200d of photometric monitoring with the Next Generation Transit Survey. These stars span F5-M3 spectral types (1.2M_{sun}_&gt;~M&gt;~0.3M_{sun}_) and increase the number of known rotation periods in Blanco 1 by a factor of four. We determine rotation periods using three methods: Gaussian process (GP) regression, generalized autocorrelation function (G-ACF), and Lomb-Scargle (LS) periodogram, and find that the GP and G-ACF methods are more applicable to evolving spot modulation patterns. Between mid-F and mid-K spectral types, single stars follow a well-defined rotation sequence from ~2 to 10d, whereas stars in photometric multiple systems typically rotate faster. This may suggest that the presence of a moderate-to-high mass ratio companion inhibits angular momentum loss mechanisms during the early pre-main sequence, and this signature has not been erased at ~100Myr. The majority of mid-F to mid-K stars display evolving modulation patterns, whereas most M stars show stable modulation signals. This morphological change coincides with the shift from a well-defined rotation sequence (mid-F to mid-K stars) to a broad rotation period distribution (late-K and M stars). Finally, we compare our rotation results for Blanco 1 to the similarly aged Pleiades: the single-star populations in both clusters possess consistent rotation period distributions, which suggests that the angular momentum evolution of stars follows a well-defined pathway that is, at least for mid-F to mid-K stars, strongly imprinted by ~100Myr.
   ***  
 
@@ -1024,7 +1057,7 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 Selecting the best quality data, I find that nearly all 0.5 to 1.2M_{sun}_ main sequence stars converge to a single rotational mass dependent sequence after 750Myr; when the mass is larger than 0.8M_{sun}_, most of them converge in ~120Myr. If stars rotate as rigid bodies, the angular momentum of the vast majority is within clearly outlined bounds. The lower boundary defines a terminal main sequence rotational isochrone, the upper one coincides with slow rotators from the Pleiades and stars from Praesepe delineate a third one. Mass dependent exponential relationships between angular momentum and age are determined from these isochrones. Age estimates based on the angular momentum, are acceptable in middle aged stars older than 750Myr and more massive than 0.6-0.7M_{sun}_. The evolution of the Rossby number indicates that the Parker dynamo may cease early on in stars where M/M_{sun}_&gt;=1.1. An empirical formula for the torque, an idealized model for it and a relation between rotational period and magnetic field, lead to a formula for the evolution of the mass loss rate, predicting that the present solar rate is close to a minimum and that it was around five times more vigorous when life on Earth started.
   ***  
 
-[&#39;Konishi M.&#39;, &#39; Matsuo T.&#39;, &#39; Yamamoto K.&#39;, &#39; Samland M.&#39;, &#39; Sudo J.&#39;, &#39; Shibai H.&#39;, &#39; Itoh Y.&#39;, &#39; Fukagawa M.&#39;, &#39; Sumi T.&#39;, &#39; Kudo T.&#39;, &#39; Hashimoto J.&#39;, &#39; Kuzuhara M.&#39;, &#39; Kusakabe N.&#39;, &#39; Abe L.&#39;, &#39; Akiyama E.&#39;, &#39; Brandner W.&#39;, &#39; Brandt T.D.&#39;, &#39; Carson J.C.&#39;, &#39; Feldt M.&#39;, &#39; Goto M.&#39;, &#39; Grady C.A.&#39;, &#39; Guyon O.&#39;, &#39; Hayano Y.&#39;, &#39; Hayashi M.&#39;, &#39; Hayashi S.S.&#39;, &#39; Henning T.&#39;, &#39; Hodapp K.W.&#39;, &#39; Ishii M.&#39;, &#39; Iye M.&#39;, &#39; Janson M.&#39;, &#39; Kandori R.&#39;, &#39; Knapp G.R.&#39;, &#39; Kwon J.&#39;, &#39; McElwain M.W.&#39;, &#39; Mede K.&#39;, &#39; Miyama S.&#39;, &#39; Morino J.-I.&#39;, &#39; Moro-Martin A.&#39;, &#39; Ishimura T.&#39;, &#39; Oh D.&#39;, &#39; Pyo T.-S.&#39;, &#39; Serabyn E.&#39;, &#39; Schlieder J.E.&#39;, &#39; Suenaga T.&#39;, &#39; Suto H.&#39;, &#39; Suzuki R.&#39;, &#39; Takahashi Y.H.&#39;, &#39; Takami M.&#39;, &#39; Takato N.&#39;, &#39; Terada H.&#39;, &#39; Thalmann C.&#39;, &#39; Turner E.L.&#39;, &#39; Watanabe M.&#39;, &#39; Wisniewski J.P.&#39;, &#39; Yamada T.&#39;, &#39; Takami H.&#39;, &#39; Usuda T.&#39;, &#39; Tamura M.&#39;]
+[&#39;Konishi M.&#39;, &#39; Matsuo T.&#39;, &#39; Yamamoto K.&#39;, &#39; Samland M.&#39;, &#39; Sudo J.&#39;, &#39; Shibai H.,Itoh Y.&#39;, &#39; Fukagawa M.&#39;, &#39; Sumi T.&#39;, &#39; Kudo T.&#39;, &#39; Hashimoto J.&#39;, &#39; Kuzuhara M.,Kusakabe N.&#39;, &#39; Abe L.&#39;, &#39; Akiyama E.&#39;, &#39; Brandner W.&#39;, &#39; Brandt T.D.&#39;, &#39; Carson J.C.,Feldt M.&#39;, &#39; Goto M.&#39;, &#39; Grady C.A.&#39;, &#39; Guyon O.&#39;, &#39; Hayano Y.&#39;, &#39; Hayashi M.,Hayashi S.S.&#39;, &#39; Henning T.&#39;, &#39; Hodapp K.W.&#39;, &#39; Ishii M.&#39;, &#39; Iye M.&#39;, &#39; Janson M.,Kandori R.&#39;, &#39; Knapp G.R.&#39;, &#39; Kwon J.&#39;, &#39; McElwain M.W.&#39;, &#39; Mede K.&#39;, &#39; Miyama S.,Morino J.-I.&#39;, &#39; Moro-Martin A.&#39;, &#39; Ishimura T.&#39;, &#39; Oh D.&#39;, &#39; Pyo T.-S.&#39;, &#39; Serabyn E.,Schlieder J.E.&#39;, &#39; Suenaga T.&#39;, &#39; Suto H.&#39;, &#39; Suzuki R.&#39;, &#39; Takahashi Y.H.&#39;, &#39; Takami M.,Takato N.&#39;, &#39; Terada H.&#39;, &#39; Thalmann C.&#39;, &#39; Turner E.L.&#39;, &#39; Watanabe M.,Wisniewski J.P.&#39;, &#39; Yamada T.&#39;, &#39; Takami H.&#39;, &#39; Usuda T.&#39;, &#39; Tamura M.&#39;]
 We find a new substellar companion to the Pleiades member star, Pleiades HII 3441, using the Subaru telescope with adaptive optics. The discovery is made as part of the high-contrast imaging survey to search for planetary-mass and substellar companions in the Pleiades and young moving groups. The companion has a projected separation of 0.49+/-0.02 (66+/-2au) and a mass of 68+/-5MJ based on three observations in the J-, H-, and Ks-bands. The spectral type is estimated to be M7 (~2700K), and thus no methane absorption is detected in the H band. Our Pleiades observations result in the detection of two substellar companions including one previously reported among 20 observed Pleiades stars, and indicate that the fraction of substellar companions in the Pleiades is about 10.0^+26.1^_-8.8_%. This is consistent with multiplicity studies of both the Pleiades stars and other open clusters.
   ***  
 
@@ -1032,24 +1065,28 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 We present the results from a photometric monitoring program of primarily solar-type open cluster stars obtained during 1994 and 1995. Several members of the {alpha} Persei cluster have been monitored and the corresponding relation between coronal x-ray activity and rotation period derived. The relation among mid-G/K type members illustrates both the previously noticed downturn in L_X_/L_bol_ at high rotation rates and the sharp decrease in coronal activity at long rotation periods as seen among Pleiades stars. Intensive observation of one slowly rotating G-type member of IC 4665 has enabled a period determination of 8-10 days to be made and illustrates the need for (and limitations of) high quality observations.
   ***  
 
+[&#39;Prosser C.F.&#39;]
+This catalog contains the tabulated results of a combined astrometric, photometric, and spectroscopic search for low-mass members in the intermediate-age open cluster Alpha Persei. It contains information on 132 new members and likely members, and 16 uncertain members of Alpha Per. The new membership information suggested to the author a revised age of the cluster to approximately 8x10+7yr. Tabulated data include AP number, VBI photometry, 1950 coordinates, relative proper motions with errors, H-alpha equivalent widths, and spectral type. Included are the individual membership determinations, based on H-alpha emission, spectral type, and echelle spectra data. The photometric data were obtained with the Lick Obs. 1-m Nickel Telescope using a TI 500x500 pixel CCD in B, V, and I bands. Low dispersion CCD spectra centered on H-alpha for candidates whose V-I photometry indicated likely membership using the Lick 1-m Nickel and 3-m Shane telescopes. High-dispersion echelle spectra were obtained for many bright candidates using the Hamilton echelle spectrographic with the Shane and Coude auxiliary telescopes. Introduction: van den Bergh &amp; Sher (1960) found from studying several open clusters that in general the faint end of the cluster luminosity function decreased or remained constant down to the level of observation. If true, the observed cluster luminosity functions are unable to account for the luminosity function of nearby field stars which increases to faint magnitudes. One possible solution is that additional unidentified low-mass stars exist in most (or all) open clusters. Recent studies in the Hyades (Weis &amp; Hanson 1988AJ.....96..148W, Griffin et al. 1988AJ.....96..172G, Stauffer 1982AJ.....87..899S), Pleiades (Stauffer et al. 1991AJ....101..980S, Prosser et al. 1991AJ....101.1361P), and Praesepe (Mermilliod et al. 1990A&amp;A...235..114M, Jones &amp; Stauffer 1991AJ....102.1080J) have identified faint candidate members. It is the aim of this study to determine the existence, and some of the properties, of the low-mass membership in the open cluster Alpha Persei. Alpha Per was chosen for study because of the limited information on low-mass membership, because it is nearby (which enables both proper motion analysis and observation of low-mass candidates), because no other clusters of the same relatively youthful age have been studied completely, and because of the existence of the photographic plate material needed for the proper motion analysis. After a brief review of the history and previous work in this cluster, the proper motion survey of this study is described. This is accompanied by a description of the CCD photometry and spectroscopy programs employed to aid in identifying cluster members. A review of current information on previous members and possible members is also given, followed by a section presenting the new members and candidate members found in this study. An analysis of some cluster properties including luminosity function, age, spatial distribution of members, reddening, H-alpha emission strengths, and rotational velocity distribution is presented. Finally, the last section provides a general review of the results found in Alpha Per.
+  ***  
+
 [&#39;Pillitteri et al.&#39;]
-This table contains the results from a deep X-ray survey of the young (~ 140 Myr), rich open cluster NGC 2516 obtained with the EPIC camera on board the XMM-Newton satellite. By combining the data from six observations, a high sensitivity, greater than a factor of 5 with respect to recent Chandra observations, has been achieved. Kaplan-Meier estimators of the cumulative X-ray luminosity distribution, statistically corrected for non-member contaminants, were built by the authors and compared to those of the nearly coeval Pleiades cluster. 431 X-ray sources were detected, and 234 of them have as optical counterparts cluster stars spanning the entire NGC 2516 main sequence. On the basis of X-ray emission and optical photometry, 20 new candidate members of the cluster have been identified; at the same time there are 49 X-ray sources without known optical or infrared counterpart. The X-ray luminosities of cluster stars span the range log L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; (erg s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;) = 28.4 - 30.8. The representative coronal temperatures span the 0.3 - 0.6 keV (3.5 - 8 MK) range for the cool component and 1.0 - 2.0 keV (12 - 23 MK) for the hot one; similar values were found in other young open clusters like the Pleiades, IC 2391, and Blanco 1. While no significant differences were found in their X-ray spectra, NGC 2516 solar-type stars are definitely less luminous in X-rays than their nearly coeval Pleiades counterparts. The comparison with a previous ROSAT survey reveals the lack of variability amplitudes larger than a factor of 2 in solar-type cluster stars in a ~ 11 yr time scale, and thus activity cycles like in the Sun are probably absent or have a different period and amplitude in young stars. NGC 2516 has been observed several times with XMM-Newton during the first two years of satellite operations for calibration purposes. The observations used in this analysis span a period of 19 months with exposure times between 10 and 20 ks. All of these observations have been performed with the thick filter. In the combined EPIC datasets the authors detected 431 X-ray sources with a significance level greater than 5.0 sigma, which should lead statistically to at most one spurious source in the field of view.
+This table contains the results from a deep X-ray survey of the young (~ 140 Myr), rich open cluster NGC 2516 obtained with the EPIC camera on board the XMM-Newton satellite. By combining the data from six observations, a high sensitivity, greater than a factor of 5 with respect to recent Chandra observations, has been achieved. Kaplan-Meier estimators of the cumulative X-ray luminosity distribution, statistically corrected for non-member contaminants, were built by the authors and compared to those of the nearly coeval Pleiades cluster. 431 X-ray sources were detected, and 234 of them have as optical counterparts cluster stars spanning the entire NGC 2516 main sequence. On the basis of X-ray emission and optical photometry, 20 new candidate members of the cluster have been identified; at the same time there are 49 X-ray sources without known optical or infrared counterpart. The X-ray luminosities of cluster stars span the range log L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; (erg s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;) = 28.4 - 30.8. The representative coronal temperatures span the 0.3 - 0.6 keV (3.5 - 8 MK) range for the cool component and 1.0 - 2.0 keV (12 - 23 MK) for the hot one; similar values were found in other young open clusters like the Pleiades, IC 2391, and Blanco 1. While no significant differences were found in their X-ray spectra, NGC 2516 solar-type stars are definitely less luminous in X-rays than their nearly coeval Pleiades counterparts. The comparison with a previous ROSAT survey reveals the lack of variability amplitudes larger than a factor of 2 in solar-type cluster stars in a ~ 11 yr time scale, and thus activity cycles like in the Sun are probably absent or have a different period and amplitude in young stars. NGC 2516 has been observed several times with XMM-Newton during the first two years of satellite operations for calibration purposes. The observations used in this analysis span a period of 19 months with exposure times between 10 and 20 ks. All of these observations have been performed with the thick filter. In the combined EPIC datasets the authors detected 431 X-ray sources with a significance level greater than 5.0 sigma, which should lead statistically to at most one spurious source in the field of view. This table was created by the HEASARC in May 2007 based on &amp;lt;a href=&quot;https://cdsarc.cds.unistra.fr/ftp/cats/J/A+A/450/993&quot;&amp;gt;CDS catalog J/A+A/450/993&amp;lt;/a&amp;gt; files tablea1.dat and tableb1.dat. This is a service provided by NASA HEASARC .
   ***  
 
 [&#39;Jeffries et al.&#39;]
-This table contains a list of point sources detected by XMM-Newton EPIC in a pointing towards the young open cluster NGC 2547, made in order to allow the authors to characterize coronal activity in solar-type stars, and stars of lower mass, at an age of 30 Myr. X-ray emission was seen from stars at all spectral types, peaking among G stars at luminosities (0.3 - 3 keV) of L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; ~= 10&amp;lt;sup&amp;gt;30.5&amp;lt;/sup&amp;gt; erg/s and declining to L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; &amp;lt;= 10&amp;lt;sup&amp;gt;29&amp;lt;/sup&amp;gt; erg/s among M stars with masses &amp;gt;=0.2 solar masses. Coronal spectra show evidence for multi-temperature differential emission measures and low coronal metal abundances of Z~= 0.3. Most of the solar-type stars in NGC 2547 exhibit saturated or even supersaturated X-ray activity levels. The median levels of L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; and L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt;/L&amp;lt;sub&amp;gt;bol&amp;lt;/sub&amp;gt; in the solar-type stars of NGC 2547 are very similar to those in T-Tauri stars of the Orion Nebula cluster (ONC), but an order of magnitude higher than in the older Pleiades. The spread in X-ray activity levels among solar-type stars in NGC 2547 is much smaller than in older or younger clusters. This table contains the properties of those X-ray sources which are correlated with optical cluster members (see Section 2.2 of the reference paper for details on the correlation procedure that was adopted), as well as the properties of those X-ray sources which are uncorrelated with any optical cluster members. The table lists the cross-identifications with optical catalogs for the candidate cluster sources along with their X-ray luminosities and X-ray to bolometric flux ratios, as well as the correlations between cluster members which were detected by XMM-Newton and those detected 7 years earlier by the ROSAT HRI instrument, along with the X-ray luminosities and flux ratios as determined by the HRI.
+This table contains a list of point sources detected by XMM-Newton EPIC in a pointing towards the young open cluster NGC 2547, made in order to allow the authors to characterize coronal activity in solar-type stars, and stars of lower mass, at an age of 30 Myr. X-ray emission was seen from stars at all spectral types, peaking among G stars at luminosities (0.3 - 3 keV) of L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; ~= 10&amp;lt;sup&amp;gt;30.5&amp;lt;/sup&amp;gt; erg/s and declining to L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; &amp;lt;= 10&amp;lt;sup&amp;gt;29&amp;lt;/sup&amp;gt; erg/s among M stars with masses &amp;gt;=0.2 solar masses. Coronal spectra show evidence for multi-temperature differential emission measures and low coronal metal abundances of Z~= 0.3. Most of the solar-type stars in NGC 2547 exhibit saturated or even supersaturated X-ray activity levels. The median levels of L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; and L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt;/L&amp;lt;sub&amp;gt;bol&amp;lt;/sub&amp;gt; in the solar-type stars of NGC 2547 are very similar to those in T-Tauri stars of the Orion Nebula cluster (ONC), but an order of magnitude higher than in the older Pleiades. The spread in X-ray activity levels among solar-type stars in NGC 2547 is much smaller than in older or younger clusters. This table contains the properties of those X-ray sources which are correlated with optical cluster members (see Section 2.2 of the reference paper for details on the correlation procedure that was adopted), as well as the properties of those X-ray sources which are uncorrelated with any optical cluster members. The table lists the cross-identifications with optical catalogs for the candidate cluster sources along with their X-ray luminosities and X-ray to bolometric flux ratios, as well as the correlations between cluster members which were detected by XMM-Newton and those detected 7 years earlier by the ROSAT HRI instrument, along with the X-ray luminosities and flux ratios as determined by the HRI. This table was created by the HEASARC in February 2007 based on CDS Catalog J/MNRAS/367/781 files table1.dat, table2.dat, table3.dat and table7.dat. This is a service provided by NASA HEASARC .
   ***  
 
 [&#39;Giardino et al.&#39;]
-This table provides a list of X-ray sources detected in a ~140 ks Chandra X-ray observation of the open cluster NGC 752. For the sources with 2MASS counterparts, the values of their magnitudes in the J, H and K bands are also given. Very little is known about the evolution of stellar activity between the ages of the Hyades (0.8 Gyr) and the Sun (4.6 Gyr). To gain information on the typical level of coronal activity at a star&amp;#39;s intermediate age, the authors have studied the X-ray emission from stars in the 1.9 Gyr-old open cluster NGC 752. They analyzed a ~ 140 ks Chandra observation of NGC 752 and a ~50 ks XMM-Newton observation of the same cluster. They detected 262 X-ray sources in the Chandra data and 145 sources in the XMM-Newton observation. Around 90% of the catalogued cluster members within Chandr&amp;aacute;s field of view are detected in the X-ray observation. The X-ray luminosity of all observed cluster members (28 stars) and of 11 cluster member candidates was derived. These data indicate that, at an age of 1.9 Gyr, the typical X-ray luminosity L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of the cluster members with masses of 0.8 to 1.2 solar masses is 1.3 x 10&amp;lt;sup&amp;gt;28&amp;lt;/sup&amp;gt; erg s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;, which is approximately a factor of 6 times less intense than that observed in the younger Hyades. Given that L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; is proportional to the square of a star&amp;#39;s rotational rate, the median L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of NGC 752 is consistent, for t &amp;gt;= 1 Gyr, with a decaying rate in rotational velocities v&amp;lt;sub&amp;gt;rot&amp;lt;/sub&amp;gt; ~ t&amp;lt;sup&amp;gt;-alpha&amp;lt;/sup&amp;gt; with alpha ~ 0.75, steeper than the Skumanich relation (alpha ~ 0.5) and significantly steeper than that observed between the Pleiades and the Hyades (where alpha &amp;lt;0.3), suggesting that a change in the rotational regimes of the stellar interiors is taking place at an age of ~ 1 Gyr. The 135 ks observation of NGC 752 was performed by the Chandra ACIS camera on September 29, 2003 starting at 21:11:59 UT. The X-ray source detection was performed on the event list using the Wavelet Transform detection algorithm developed at Palermo Astronomical Observatory PWDETECT, available at &amp;lt;a href=&quot;http://oapa.astropa.unipa.it/progetti_ricerca/PWDetect&quot;&amp;gt;http://oapa.astropa.unipa.it/progetti_ricerca/PWDetect&amp;lt;/a&amp;gt;. Initially, the energy range 0.2 - 10 keV was selected and the threshold for source detection was taken as to ensure a maximum of 1-2 spurious sources per field. 169 sources were detected in this way. The analysis of these sources hardness ratios showed, however, that all the catalogued stars in the field had low hardness ratios, HR &amp;lt; ~ 0.2, where HR is the number of photons in the 2 - 8 keV band over the number in the 0.5 - 2 keV band. Thus, to maximize the detection of stellar sources, PWDETECT was applied to the event list in the energy range from 0.5 - 2 keV. Using a detection threshold which ensures less than 1 spurious source per field leads to the detection of 188 sources, while lowering this threshold to 10 spurious sources per field, allows 262 sources to be identified in this energy range. This is a significant increase (well above the number expected if all the additional sources were spurious), thus the authors retained this list of 262 sources as their final list of sources in the NGC 752 field, with the caveat that ~ 10 sources among them are likely spurious. Note that the existence of ~ 10 spurious sources in the list is not so much of a problem in this context, because cluster members or candidate members are identified by the existence of a visible or near-IR counterpart. The authors searched for 2MASS counterparts to the X-ray sources using the 2MASS Point Source Catalogue (PSC) and a search radius of 3 arcsec and found a counterpart for 43 sources. Searching within the Point Source Reject Table of the 2MASS Extended Mission leads to the further identification of 1 counterpart (source number 87).
+This table provides a list of X-ray sources detected in a ~140 ks Chandra X-ray observation of the open cluster NGC 752. For the sources with 2MASS counterparts, the values of their magnitudes in the J, H and K bands are also given. Very little is known about the evolution of stellar activity between the ages of the Hyades (0.8 Gyr) and the Sun (4.6 Gyr). To gain information on the typical level of coronal activity at a star&amp;#39;s intermediate age, the authors have studied the X-ray emission from stars in the 1.9 Gyr-old open cluster NGC 752. They analyzed a ~ 140 ks Chandra observation of NGC 752 and a ~50 ks XMM-Newton observation of the same cluster. They detected 262 X-ray sources in the Chandra data and 145 sources in the XMM-Newton observation. Around 90% of the catalogued cluster members within Chandr&amp;aacute;s field of view are detected in the X-ray observation. The X-ray luminosity of all observed cluster members (28 stars) and of 11 cluster member candidates was derived. These data indicate that, at an age of 1.9 Gyr, the typical X-ray luminosity L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of the cluster members with masses of 0.8 to 1.2 solar masses is 1.3 x 10&amp;lt;sup&amp;gt;28&amp;lt;/sup&amp;gt; erg s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;, which is approximately a factor of 6 times less intense than that observed in the younger Hyades. Given that L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; is proportional to the square of a star&amp;#39;s rotational rate, the median L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of NGC 752 is consistent, for t &amp;gt;= 1 Gyr, with a decaying rate in rotational velocities v&amp;lt;sub&amp;gt;rot&amp;lt;/sub&amp;gt; ~ t&amp;lt;sup&amp;gt;-alpha&amp;lt;/sup&amp;gt; with alpha ~ 0.75, steeper than the Skumanich relation (alpha ~ 0.5) and significantly steeper than that observed between the Pleiades and the Hyades (where alpha &amp;lt;0.3), suggesting that a change in the rotational regimes of the stellar interiors is taking place at an age of ~ 1 Gyr. The 135 ks observation of NGC 752 was performed by the Chandra ACIS camera on September 29, 2003 starting at 21:11:59 UT. The X-ray source detection was performed on the event list using the Wavelet Transform detection algorithm developed at Palermo Astronomical Observatory PWDETECT, available at &amp;lt;a href=&quot;http://oapa.astropa.unipa.it/progetti_ricerca/PWDetect&quot;&amp;gt;http://oapa.astropa.unipa.it/progetti_ricerca/PWDetect&amp;lt;/a&amp;gt;. Initially, the energy range 0.2 - 10 keV was selected and the threshold for source detection was taken as to ensure a maximum of 1-2 spurious sources per field. 169 sources were detected in this way. The analysis of these sources hardness ratios showed, however, that all the catalogued stars in the field had low hardness ratios, HR &amp;lt; ~ 0.2, where HR is the number of photons in the 2 - 8 keV band over the number in the 0.5 - 2 keV band. Thus, to maximize the detection of stellar sources, PWDETECT was applied to the event list in the energy range from 0.5 - 2 keV. Using a detection threshold which ensures less than 1 spurious source per field leads to the detection of 188 sources, while lowering this threshold to 10 spurious sources per field, allows 262 sources to be identified in this energy range. This is a significant increase (well above the number expected if all the additional sources were spurious), thus the authors retained this list of 262 sources as their final list of sources in the NGC 752 field, with the caveat that ~ 10 sources among them are likely spurious. Note that the existence of ~ 10 spurious sources in the list is not so much of a problem in this context, because cluster members or candidate members are identified by the existence of a visible or near-IR counterpart. The authors searched for 2MASS counterparts to the X-ray sources using the 2MASS Point Source Catalogue (PSC) and a search radius of 3 arcsec and found a counterpart for 43 sources. Searching within the Point Source Reject Table of the 2MASS Extended Mission leads to the further identification of 1 counterpart (source number 87). This table was created by the HEASARC in October 2008 based on the electronic version of Table 6 from the reference paper which was obtained from the CDS website, i.e., their catalog J/A+A/490/113 file table6.dat. This is a service provided by NASA HEASARC .
   ***  
 
 [&#39;Giardino et al.&#39;]
-This table provides a list of X-ray sources detected in a ~50 ks XMM-Newton X-ray observation of the open cluster NGC 752. For the sources with 2MASS counterparts, the values of their magnitudes in the J, H and K bands are also given. Additionally, for the sources with a Chandra counterpart (within a search radius of 5 arcsec), the values of their Chandra source number (as given in the related Browse table NGC752CXO) are also given. Very little is known about the evolution of stellar activity between the ages of the Hyades (0.8 Gyr) and the Sun (4.6 Gyr). To gain information on the typical level of coronal activity at a star&amp;#39;s intermediate age, the authors have studied the X-ray emission from stars in the 1.9 Gyr-old open cluster NGC 752. They analyzed a ~ 140 ks Chandra observation of NGC 752 and a ~50 ks XMM-Newton observation of the same cluster. They detected 262 X-ray sources in the Chandra data and 145 sources in the XMM-Newton observation. Around 90% of the catalogued cluster members within Chandr&amp;aacute;s field of view are detected in the X-ray observation. The X-ray luminosity of all observed cluster members (28 stars) and of 11 cluster member candidates was derived. These data indicate that, at an age of 1.9 Gyr, the typical X-ray luminosity L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of the cluster members with masses of 0.8 to 1.2 solar masses is 1.3 x 10&amp;lt;sup&amp;gt;28&amp;lt;/sup&amp;gt; erg s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;, which is approximately a factor of 6 times less intense than that observed in the younger Hyades. Given that L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; is proportional to the square of a star&amp;#39;s rotational rate, the median L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of NGC 752 is consistent, for t &amp;gt;= 1 Gyr, with a decaying rate in rotational velocities v&amp;lt;sub&amp;gt;rot&amp;lt;/sub&amp;gt; ~ t&amp;lt;sup&amp;gt;-alpha&amp;lt;/sup&amp;gt; with alpha ~ 0.75, steeper than the Skumanich relation (alpha ~ 0.5) and significantly steeper than that observed between the Pleiades and the Hyades (where alpha &amp;lt;0.3), suggesting that a change in the rotational regimes of the stellar interiors is taking place at an age of ~ 1 Gyr. NGC 752 was observed for 49 ks by the XMM-Newton EPIC camera on February 5, 2003 starting at 23:29:25 UT, and the nominal pointing was towards J2000.0 RA and Declination of (01:57:38, +37:47:60), thus the XMM-Newton field-of-view (FOV) includes the Chandra FOV. For the source detection, the authors used the PWXDETECT code developed at Palermo Observatory and derived from the analogous Chandra PWDETECT code based on wavelet transform analysis. This allows the three EPIC exposures (PN, MOS1 and MOS2) to be combined in order to gain a deeper sensitivity with respect to the source detection based on single images. There were 145 point sources detected in the energy band 0.5 - 2.0 keV. An extended source (not listed in this present table), very likely a galaxy cluster, is also visible in the EPIC data. The authors searched for 2MASS counterparts to the XMM-Newton sources using a search radius of 5 arcsec and found a counterpart for 38 sources. As for the Chandra data, all sources with a visible counterpart from DLM94 have also a 2MASS counterpart, so this leaves 15 XMM-Newton sources with a 2MASS counterpart and no counterpart in Daniel et al. (1994, PASP, 106, 281); of these, 3 were also detected by Chandra; of the other 12, 10 are outside the Chandra FOV, while two are within it (XMM-Newton sources 58 and 65). Source 65 was caught by XMM-Newton during the decay phase of a flare, which explains why it is not detected in the Chandra data. For source 58 there is no immediate explanation for this, since the light curve does not show evidence of a flare. No additional near-IR counterpart to the XMM-Newton sources was found within the Point Source Reject Table of the 2MASS Extended Mission.
+This table provides a list of X-ray sources detected in a ~50 ks XMM-Newton X-ray observation of the open cluster NGC 752. For the sources with 2MASS counterparts, the values of their magnitudes in the J, H and K bands are also given. Additionally, for the sources with a Chandra counterpart (within a search radius of 5 arcsec), the values of their Chandra source number (as given in the related Browse table NGC752CXO) are also given. Very little is known about the evolution of stellar activity between the ages of the Hyades (0.8 Gyr) and the Sun (4.6 Gyr). To gain information on the typical level of coronal activity at a star&amp;#39;s intermediate age, the authors have studied the X-ray emission from stars in the 1.9 Gyr-old open cluster NGC 752. They analyzed a ~ 140 ks Chandra observation of NGC 752 and a ~50 ks XMM-Newton observation of the same cluster. They detected 262 X-ray sources in the Chandra data and 145 sources in the XMM-Newton observation. Around 90% of the catalogued cluster members within Chandr&amp;aacute;s field of view are detected in the X-ray observation. The X-ray luminosity of all observed cluster members (28 stars) and of 11 cluster member candidates was derived. These data indicate that, at an age of 1.9 Gyr, the typical X-ray luminosity L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of the cluster members with masses of 0.8 to 1.2 solar masses is 1.3 x 10&amp;lt;sup&amp;gt;28&amp;lt;/sup&amp;gt; erg s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;, which is approximately a factor of 6 times less intense than that observed in the younger Hyades. Given that L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; is proportional to the square of a star&amp;#39;s rotational rate, the median L&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt; of NGC 752 is consistent, for t &amp;gt;= 1 Gyr, with a decaying rate in rotational velocities v&amp;lt;sub&amp;gt;rot&amp;lt;/sub&amp;gt; ~ t&amp;lt;sup&amp;gt;-alpha&amp;lt;/sup&amp;gt; with alpha ~ 0.75, steeper than the Skumanich relation (alpha ~ 0.5) and significantly steeper than that observed between the Pleiades and the Hyades (where alpha &amp;lt;0.3), suggesting that a change in the rotational regimes of the stellar interiors is taking place at an age of ~ 1 Gyr. NGC 752 was observed for 49 ks by the XMM-Newton EPIC camera on February 5, 2003 starting at 23:29:25 UT, and the nominal pointing was towards J2000.0 RA and Declination of (01:57:38, +37:47:60), thus the XMM-Newton field-of-view (FOV) includes the Chandra FOV. For the source detection, the authors used the PWXDETECT code developed at Palermo Observatory and derived from the analogous Chandra PWDETECT code based on wavelet transform analysis. This allows the three EPIC exposures (PN, MOS1 and MOS2) to be combined in order to gain a deeper sensitivity with respect to the source detection based on single images. There were 145 point sources detected in the energy band 0.5 - 2.0 keV. An extended source (not listed in this present table), very likely a galaxy cluster, is also visible in the EPIC data. The authors searched for 2MASS counterparts to the XMM-Newton sources using a search radius of 5 arcsec and found a counterpart for 38 sources. As for the Chandra data, all sources with a visible counterpart from DLM94 have also a 2MASS counterpart, so this leaves 15 XMM-Newton sources with a 2MASS counterpart and no counterpart in Daniel et al. (1994, PASP, 106, 281); of these, 3 were also detected by Chandra; of the other 12, 10 are outside the Chandra FOV, while two are within it (XMM-Newton sources 58 and 65). Source 65 was caught by XMM-Newton during the decay phase of a flare, which explains why it is not detected in the Chandra data. For source 58 there is no immediate explanation for this, since the light curve does not show evidence of a flare. No additional near-IR counterpart to the XMM-Newton sources was found within the Point Source Reject Table of the 2MASS Extended Mission. This table was created by the HEASARC in October 2008 based on the electronic version of Table 7 from the reference paper which was obtained from the CDS website, i.e., their catalog J/A+A/490/113 file table7.dat. This is a service provided by NASA HEASARC .
   ***  
 
 [&#39;Micela et al.&#39;]
-This catalog contains the results of a deep X-ray survey of the core region of the Pleiades open cluster carried out with ROSAT. In a single PSPC field (~1 degree in radius), 99 of 214 Pleiades stars are detected in X-rays, and upper limits are computed for the remainder. This catalog lists the characteristics of these stars taken from the literature, including their rotational data, as well as their X-ray characteristics. The nucleus of the composite catalog used in this study is the catalog compiled from the published literature for the Einstein investigations of the Pleiades (Micela et al. 1990, ApJ, 348, 557). This list has been extended by the results of recent surveys to a completeness limit of visual magnitude of about 18.
+This catalog contains the results of a deep X-ray survey of the core region of the Pleiades open cluster carried out with ROSAT. In a single PSPC field (~1 degree in radius), 99 of 214 Pleiades stars are detected in X-rays, and upper limits are computed for the remainder. This catalog lists the characteristics of these stars taken from the literature, including their rotational data, as well as their X-ray characteristics. The nucleus of the composite catalog used in this study is the catalog compiled from the published literature for the Einstein investigations of the Pleiades (Micela et al. 1990, ApJ, 348, 557). This list has been extended by the results of recent surveys to a completeness limit of visual magnitude of about 18. This database was created at the HEASARC in April 2002 based on the ADC/&amp;lt;a href=&quot;https://cdsarc.cds.unistra.fr/ftp/cats/J/ApJS/102/75&quot;&amp;gt;CDS Catalog J/ApJS/102/75&amp;lt;/a&amp;gt; and is derived from Tables 1 and 5 of the published paper. This is a service provided by NASA HEASARC .
 </pre></div>
 </div>
 </div>
@@ -1058,14 +1095,14 @@ <h4>Next, we need to find which of these has the columns of interest, i.e. magni
 </section>
 </section>
 <section id="at-this-point-you-can-proceed-to-step-2">
-<h3>At this point, you can proceed to Step 2<a class="headerlink" href="#at-this-point-you-can-proceed-to-step-2" title="Permalink to this headline">#</a></h3>
+<h3>At this point, you can proceed to Step 2<a class="headerlink" href="#at-this-point-you-can-proceed-to-step-2" title="Link to this heading">#</a></h3>
 <p>– OR –</p>
 </section>
 <section id="try-a-different-data-discovery-method">
-<h3>Try a different data discovery method<a class="headerlink" href="#try-a-different-data-discovery-method" title="Permalink to this headline">#</a></h3>
+<h3>Try a different data discovery method<a class="headerlink" href="#try-a-different-data-discovery-method" title="Link to this heading">#</a></h3>
 </section>
 <section id="alternative-method-use-ads-to-search-for-appropriate-paper-and-access-data-via-ned">
-<h3>Alternative Method: Use ADS to search for appropriate paper and access data via NED<a class="headerlink" href="#alternative-method-use-ads-to-search-for-appropriate-paper-and-access-data-via-ned" title="Permalink to this headline">#</a></h3>
+<h3>Alternative Method: Use ADS to search for appropriate paper and access data via NED<a class="headerlink" href="#alternative-method-use-ads-to-search-for-appropriate-paper-and-access-data-via-ned" title="Link to this heading">#</a></h3>
 <p>There are multiple paths for the data discovery. So it may also be that you know the paper that has the data you are interested in and want to access via the bibcode or authors, etc.</p>
 <p>In this case, let’s assume that we have the information that the Eichhorn+1970 paper has the data that we need to create the H-R diagram: <a class="reference external" href="https://ui.adsabs.harvard.edu/abs/1970MmRAS..73..125E/abstract">https://ui.adsabs.harvard.edu/abs/1970MmRAS..73..125E/abstract</a></p>
 <p>We can either search by bibcode (1970MmRAS..73..125E) or “Eichhorn” to get the access_urls that will allow us to work with the data.</p>
@@ -1083,7 +1120,7 @@ <h3>Alternative Method: Use ADS to search for appropriate paper and access data
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(&#39;ivoid&#39;, &#39;res_type&#39;, &#39;short_name&#39;, &#39;res_title&#39;, &#39;content_level&#39;, &#39;res_description&#39;, &#39;reference_url&#39;, &#39;creator_seq&#39;, &#39;created&#39;, &#39;updated&#39;, &#39;rights&#39;, &#39;content_type&#39;, &#39;source_format&#39;, &#39;source_value&#39;, &#39;region_of_regard&#39;, &#39;waveband&#39;, &#39;access_urls&#39;, &#39;standard_ids&#39;, &#39;intf_types&#39;, &#39;intf_roles&#39;, &#39;alt_identifier&#39;)
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(&#39;ivoid&#39;, &#39;res_type&#39;, &#39;short_name&#39;, &#39;res_title&#39;, &#39;content_level&#39;, &#39;res_description&#39;, &#39;reference_url&#39;, &#39;creator_seq&#39;, &#39;created&#39;, &#39;updated&#39;, &#39;rights&#39;, &#39;content_type&#39;, &#39;source_format&#39;, &#39;source_value&#39;, &#39;region_of_regard&#39;, &#39;waveband&#39;, &#39;access_urls&#39;, &#39;standard_ids&#39;, &#39;intf_types&#39;, &#39;intf_roles&#39;)
 </pre></div>
 </div>
 </div>
@@ -1152,7 +1189,7 @@ <h3>Alternative Method: Use ADS to search for appropriate paper and access data
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;TableColumns names=(&#39;ivoid&#39;,&#39;res_type&#39;,&#39;short_name&#39;,&#39;res_title&#39;,&#39;content_level&#39;,&#39;res_description&#39;,&#39;reference_url&#39;,&#39;creator_seq&#39;,&#39;created&#39;,&#39;updated&#39;,&#39;rights&#39;,&#39;content_type&#39;,&#39;source_format&#39;,&#39;source_value&#39;,&#39;region_of_regard&#39;,&#39;waveband&#39;,&#39;access_urls&#39;,&#39;standard_ids&#39;,&#39;intf_types&#39;,&#39;intf_roles&#39;,&#39;alt_identifier&#39;)&gt;
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;TableColumns names=(&#39;ivoid&#39;,&#39;res_type&#39;,&#39;short_name&#39;,&#39;res_title&#39;,&#39;content_level&#39;,&#39;res_description&#39;,&#39;reference_url&#39;,&#39;creator_seq&#39;,&#39;created&#39;,&#39;updated&#39;,&#39;rights&#39;,&#39;content_type&#39;,&#39;source_format&#39;,&#39;source_value&#39;,&#39;region_of_regard&#39;,&#39;waveband&#39;,&#39;access_urls&#39;,&#39;standard_ids&#39;,&#39;intf_types&#39;,&#39;intf_roles&#39;)&gt;
 </pre></div>
 </div>
 </div>
@@ -1254,6 +1291,46 @@ <h3>Alternative Method: Use ADS to search for appropriate paper and access data
 Waveband Coverage: optical
 ---------------------------------------------  
 
+K-line photometry of Southern A stars
+Short Name: II/43
+IVOA Identifier: ivo://cds.vizier/ii/43
+Access modes: tap#aux
+Multi-capability service -- use get_service()
+
+The photoelectric measurements of the strength of the Calcium K-line has been
+extended by 223 stars of predominantly southern or equatorial declinations
+which are well distributed in right ascension. This has expanded the existent
+list to 369 field stars for which a k-index is available, including many more
+Am stars. All available k-index data for field stars are presented here.
+Introduction: The present work represents a continuation of that described
+previously (Henry 1968ApJ...152L..87H, 1969ApJS...18...47H = II/42,
+[hereinafter referenced as Paper I]), in which the K-line of calcium at
+3933{AA} is measured photoelectrically in A-type stars with a narrow-band
+spectrometer. The result for each star is a K-line strength index, called k,
+the value of which appears to depend predominantly only on the temperature of
+the star and the abundance of calcium in its atmosphere. The temperature
+dependence is well known; the abundance dependence appears as a correlation
+between the residual dK in K (after allowance for the temperature effect) and
+the difference from normal of the general metallicity index [m1] of Stromgren.
+Alternatively, it was shown in Paper I that the calcium abundance is probably
+the effective factor in producing the scatter in the relation between k and
+b-y by a process of elimination of other parameters (luminosity, etc.) that
+were found not to affect appreciably the value of k. The value of k is,
+however, affected by a third parameter, namely, whether the star is an Am star
+or not. Many of the stars of Paper I were reobserved in order to tie in the
+new measurements with the old ones. An emphasis was laid on observing more Am
+stars, and on observing some stars that are of somewhat earlier spectral types
+than the earliest ones observed previously. Simultaneously with the field-star
+measurements described here, extensive data were acquired for the A stars in
+five open clusters (Hyades, Pleiades, IC 2391, IC 2602, and NGC 6475) and one
+association (Orion), as described in Paper III (Hesser &amp; Henry
+1971ApJS...23..453H). The observations were made with the same instrument that
+was used to obtain the data for Paper I, and a description of the instrument
+may be found in that paper.
+
+Waveband Coverage: optical
+---------------------------------------------  
+
 K-Line photometry of stars in Population I clusters
 Short Name: II/44
 IVOA Identifier: ivo://cds.vizier/ii/44
@@ -1520,7 +1597,7 @@ <h3>Alternative Method: Use ADS to search for appropriate paper and access data
 Waveband Coverage: x-ray
 ---------------------------------------------  
 
-Spectrocopic results on ROSAT late-type stars
+Spectroscopic results on ROSAT late-type stars
 Short Name: J/A+A/433/151
 IVOA Identifier: ivo://cds.vizier/j/a+a/433/151
 Access modes: tap#aux
@@ -1543,7 +1620,7 @@ <h3>Alternative Method: Use ADS to search for appropriate paper and access data
 stars appear to form a group with space velocities close to the Castor moving
 group but clearly distinct from the Local Association.
 
-Waveband Coverage: x-ray, optical
+Waveband Coverage: x-ray
 ---------------------------------------------  
 
 XMM survey of NGC 2516
@@ -2801,6 +2878,36 @@ <h3>Alternative Method: Use ADS to search for appropriate paper and access data
 Waveband Coverage: optical, infrared
 ---------------------------------------------  
 
+Kinematic for ~5200 alpha Persei candidate members
+Short Name: J/AJ/166/14
+IVOA Identifier: ivo://cds.vizier/j/aj/166/14
+Access modes: tap#aux
+Multi-capability service -- use get_service()
+
+On the pre-main sequence, the rotation rates of Sun-like stars are dictated by
+the interplay between the protostellar disk and the star&#39;s contraction. At
+ages exceeding 100Myr, magnetic spindown erases the initial stellar spin rate
+and enables rotation-based age dating (gyrochronology). The exact time at
+which the transition between these two regimes occurs depends on stellar mass,
+and has been challenging to empirically resolve due to a lack of viable
+calibration clusters. The {alpha}Persei open cluster (t~80Myr, d~170pc) may
+provide the needed calibrator, but recent analyses of the Gaia data have
+provided wildly varying views of its age and spatial extent. As such, we
+analyze a combination of TESS, Gaia, and LAMOST data to calibrate
+gyrochronology at the age of {alpha}Per and to uncover the cluster&#39;s true
+morphology. By assembling a list of rotationally confirmed {alpha}Per members,
+we provide strong evidence that {alpha}Per is part of a larger complex of
+similarly aged stars. Through kinematic back-integration, we show that the
+most diffuse components of {alpha}Per were five times closer together 50Myr
+ago. Finally, we use our stellar rotation periods to derive a relative
+gyrochronology age for {alpha}Per of 67%{+/-}12% the age of the Pleiades,
+which yields 86{+/-}16Myr given current knowledge. We show that by this age,
+stars more massive than ~0.8M{sun} have converged to form a well-defined slow
+sequence.
+
+Waveband Coverage: optical
+---------------------------------------------  
+
 X-ray studies of stars in the Pleiades
 Short Name: J/ApJ/348/557
 IVOA Identifier: ivo://cds.vizier/j/apj/348/557
@@ -3187,7 +3294,11 @@ <h3>Alternative Method: Use ADS to search for appropriate paper and access data
 Of 214 stars in the core of the Pleiades, 99 were detected in X-rays with the
 ROSAT PSPC. This catalog lists the characteristics of the stars taken from the
 literature, in table1.dat and the rotational and X-ray characteristics in
-table5.dat.
+table5.dat. Introduction: The nucleus of the composite catalog used in this
+study is the catalog compiled from the published literature for the Einstein
+investigations of the Pleiades (Micela et al. 1990). This list has been
+extended by the results of recent surveys to a completeness limit of visual
+magnitude about 18.
 
 Waveband Coverage: x-ray, optical
 ---------------------------------------------  
@@ -3385,7 +3496,7 @@ <h3>Alternative Method: Use ADS to search for appropriate paper and access data
 benchmark test for the development of pre-main-sequence models, we provide
 both our system responses and the Pleiades sequence.
 
-Waveband Coverage: optical
+Waveband Coverage:
 ---------------------------------------------  
 
 M dwarfs in the Pleiades
@@ -3575,6 +3686,59 @@ <h3>Alternative Method: Use ADS to search for appropriate paper and access data
 Waveband Coverage: optical
 ---------------------------------------------  
 
+Low-Mass Stars&#39; Membership in Alpha Persei Cluster
+Short Name: V/80
+IVOA Identifier: ivo://cds.vizier/v/80
+Access modes: tap#aux
+Multi-capability service -- use get_service()
+
+This catalog contains the tabulated results of a combined astrometric,
+photometric, and spectroscopic search for low-mass members in the
+intermediate-age open cluster Alpha Persei. It contains information on 132 new
+members and likely members, and 16 uncertain members of Alpha Per. The new
+membership information suggested to the author a revised age of the cluster to
+approximately 8x10+7yr. Tabulated data include AP number, VBI photometry, 1950
+coordinates, relative proper motions with errors, H-alpha equivalent widths,
+and spectral type. Included are the individual membership determinations,
+based on H-alpha emission, spectral type, and echelle spectra data. The
+photometric data were obtained with the Lick Obs. 1-m Nickel Telescope using a
+TI 500x500 pixel CCD in B, V, and I bands. Low dispersion CCD spectra centered
+on H-alpha for candidates whose V-I photometry indicated likely membership
+using the Lick 1-m Nickel and 3-m Shane telescopes. High-dispersion echelle
+spectra were obtained for many bright candidates using the Hamilton echelle
+spectrographic with the Shane and Coude auxiliary telescopes. Introduction:
+van den Bergh &amp; Sher (1960) found from studying several open clusters that in
+general the faint end of the cluster luminosity function decreased or remained
+constant down to the level of observation. If true, the observed cluster
+luminosity functions are unable to account for the luminosity function of
+nearby field stars which increases to faint magnitudes. One possible solution
+is that additional unidentified low-mass stars exist in most (or all) open
+clusters. Recent studies in the Hyades (Weis &amp; Hanson 1988AJ.....96..148W,
+Griffin et al. 1988AJ.....96..172G, Stauffer 1982AJ.....87..899S), Pleiades
+(Stauffer et al. 1991AJ....101..980S, Prosser et al. 1991AJ....101.1361P), and
+Praesepe (Mermilliod et al. 1990A&amp;A...235..114M, Jones &amp; Stauffer
+1991AJ....102.1080J) have identified faint candidate members. It is the aim of
+this study to determine the existence, and some of the properties, of the low-
+mass membership in the open cluster Alpha Persei. Alpha Per was chosen for
+study because of the limited information on low-mass membership, because it is
+nearby (which enables both proper motion analysis and observation of low-mass
+candidates), because no other clusters of the same relatively youthful age
+have been studied completely, and because of the existence of the photographic
+plate material needed for the proper motion analysis. After a brief review of
+the history and previous work in this cluster, the proper motion survey of
+this study is described. This is accompanied by a description of the CCD
+photometry and spectroscopy programs employed to aid in identifying cluster
+members. A review of current information on previous members and possible
+members is also given, followed by a section presenting the new members and
+candidate members found in this study. An analysis of some cluster properties
+including luminosity function, age, spatial distribution of members,
+reddening, H-alpha emission strengths, and rotational velocity distribution is
+presented. Finally, the last section provides a general review of the results
+found in Alpha Per.
+
+Waveband Coverage: optical
+---------------------------------------------  
+
 NGC 2516 Cluster XMM-Newton X-Ray Point Source Catalog
 Short Name: NGC2516XMM
 IVOA Identifier: ivo://nasa.heasarc/ngc2516xmm
@@ -3610,7 +3774,10 @@ <h3>Alternative Method: Use ADS to search for appropriate paper and access data
 All of these observations have been performed with the thick filter. In the
 combined EPIC datasets the authors detected 431 X-ray sources with a
 significance level greater than 5.0 sigma, which should lead statistically to
-at most one spurious source in the field of view.
+at most one spurious source in the field of view. This table was created by
+the HEASARC in May 2007 based on CDS catalog J/A+A/450/993
+&lt;https://cdsarc.cds.unistra.fr/ftp/cats/J/A+A/450/993&gt; files tablea1.dat and
+tableb1.dat. This is a service provided by NASA HEASARC .
 
 Waveband Coverage: x-ray
 ---------------------------------------------  
@@ -3645,7 +3812,9 @@ <h3>Alternative Method: Use ADS to search for appropriate paper and access data
 flux ratios, as well as the correlations between cluster members which were
 detected by XMM-Newton and those detected 7 years earlier by the ROSAT HRI
 instrument, along with the X-ray luminosities and flux ratios as determined by
-the HRI.
+the HRI. This table was created by the HEASARC in February 2007 based on CDS
+Catalog J/MNRAS/367/781 files table1.dat, table2.dat, table3.dat and
+table7.dat. This is a service provided by NASA HEASARC .
 
 Waveband Coverage: optical, x-ray
 ---------------------------------------------  
@@ -3707,7 +3876,10 @@ <h3>Alternative Method: Use ADS to search for appropriate paper and access data
 2MASS Point Source Catalogue (PSC) and a search radius of 3 arcsec and found a
 counterpart for 43 sources. Searching within the Point Source Reject Table of
 the 2MASS Extended Mission leads to the further identification of 1
-counterpart (source number 87).
+counterpart (source number 87). This table was created by the HEASARC in
+October 2008 based on the electronic version of Table 6 from the reference
+paper which was obtained from the CDS website, i.e., their catalog
+J/A+A/490/113 file table6.dat. This is a service provided by NASA HEASARC .
 
 Waveband Coverage: infrared, x-ray
 ---------------------------------------------  
@@ -3767,7 +3939,10 @@ <h3>Alternative Method: Use ADS to search for appropriate paper and access data
 source 58 there is no immediate explanation for this, since the light curve
 does not show evidence of a flare. No additional near-IR counterpart to the
 XMM-Newton sources was found within the Point Source Reject Table of the 2MASS
-Extended Mission.
+Extended Mission. This table was created by the HEASARC in October 2008 based
+on the electronic version of Table 7 from the reference paper which was
+obtained from the CDS website, i.e., their catalog J/A+A/490/113 file
+table7.dat. This is a service provided by NASA HEASARC .
 
 Waveband Coverage: infrared, x-ray
 ---------------------------------------------  
@@ -3787,7 +3962,11 @@ <h3>Alternative Method: Use ADS to search for appropriate paper and access data
 in this study is the catalog compiled from the published literature for the
 Einstein investigations of the Pleiades (Micela et al. 1990, ApJ, 348, 557).
 This list has been extended by the results of recent surveys to a completeness
-limit of visual magnitude of about 18.
+limit of visual magnitude of about 18. This database was created at the
+HEASARC in April 2002 based on the ADC/CDS Catalog J/ApJS/102/75
+&lt;https://cdsarc.cds.unistra.fr/ftp/cats/J/ApJS/102/75&gt; and is derived from
+Tables 1 and 5 of the published paper. This is a service provided by NASA
+HEASARC .
 
 Waveband Coverage: x-ray
 </pre></div>
@@ -3797,7 +3976,7 @@ <h3>Alternative Method: Use ADS to search for appropriate paper and access data
 </section>
 </section>
 <section id="step-2-acquire-the-relevant-data-and-make-a-plot">
-<h2>Step 2: Acquire the relevant data and make a plot<a class="headerlink" href="#step-2-acquire-the-relevant-data-and-make-a-plot" title="Permalink to this headline">#</a></h2>
+<h2>Step 2: Acquire the relevant data and make a plot<a class="headerlink" href="#step-2-acquire-the-relevant-data-and-make-a-plot" title="Link to this heading">#</a></h2>
 <p>In order to query the table, we need the table name, note this is NOT the same as the short name we found above:</p>
 <div class="cell tag_output_scroll docutils container">
 <div class="cell_input docutils container">
@@ -3855,7 +4034,7 @@ <h2>Step 2: Acquire the relevant data and make a plot<a class="headerlink" href=
 </pre></div>
 </div>
 <div class="output text_html"><div><i>Table length=502</i>
-<table id="table139800928728352" class="table-striped table-bordered table-condensed">
+<table id="table140572431920016" class="table-striped table-bordered table-condensed">
 <thead><tr><th>recno</th><th>Hertzsprung</th><th>CI</th><th>Ptm</th><th>RAB1900</th><th>e_RAs</th><th>DEB1900</th><th>e_DEs</th><th>rmsRA</th><th>rmsDE</th><th>rpmRA</th><th>rpmDE</th><th>DrpmRA</th><th>DrpmDE</th><th>DRA</th><th>DDE</th></tr></thead>
 <thead><tr><th></th><th></th><th>mag</th><th>mag</th><th>deg</th><th>ms</th><th>deg</th><th>mas</th><th></th><th></th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th>arcsec</th><th>arcsec</th></tr></thead>
 <thead><tr><th>int32</th><th>int16</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>int16</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th></tr></thead>
@@ -3869,7 +4048,6 @@ <h2>Step 2: Acquire the relevant data and make a plot<a class="headerlink" href=
 <tr><td>66</td><td>580</td><td>0.3</td><td>12.65</td><td>54.82563333333333</td><td>9.7</td><td>22.981605555555554</td><td>96</td><td>0.25</td><td>0.22</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>
 <tr><td>51</td><td>490</td><td>0.9</td><td>13.03</td><td>54.74930416666666</td><td>6.0</td><td>23.054466666666663</td><td>68</td><td>0.41</td><td>0.51</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>
 <tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>
-<tr><td>127</td><td>885</td><td>1.14</td><td>11.94</td><td>55.03941249999999</td><td>4.8</td><td>24.55469722222222</td><td>62</td><td>0.31</td><td>0.34</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>
 <tr><td>103</td><td>775</td><td>0.75</td><td>12.84</td><td>54.959262499999994</td><td>5.2</td><td>24.565244444444442</td><td>65</td><td>0.38</td><td>0.56</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>
 <tr><td>122</td><td>880</td><td>0.8</td><td>13.35</td><td>55.037454166666656</td><td>6.4</td><td>24.571502777777773</td><td>76</td><td>0.38</td><td>0.62</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>
 <tr><td>7</td><td>285</td><td>0.58</td><td>11.29</td><td>54.562279166666656</td><td>8.6</td><td>24.42119166666666</td><td>89</td><td>0.62</td><td>0.11</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>
@@ -3891,7 +4069,7 @@ <h2>Step 2: Acquire the relevant data and make a plot<a class="headerlink" href=
 </div>
 </div>
 <section id="plotting">
-<h3>Plotting<a class="headerlink" href="#plotting" title="Permalink to this headline">#</a></h3>
+<h3>Plotting<a class="headerlink" href="#plotting" title="Link to this heading">#</a></h3>
 <p>Note: The magnitudes here are apparent and therefore in plotting, the color-magnitude diagram is typically brightness increasing upwards (higher y-axis) so we will flip the y-axis here.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -3904,16 +4082,16 @@ <h3>Plotting<a class="headerlink" href="#plotting" title="Permalink to this head
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f25d8901a20&gt;]
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7fd986b5a1d0&gt;]
 </pre></div>
 </div>
-<img alt="../../_images/ef3c616dc1ad5708524385f3624ba15e414c9ebf75e7d4fa16b6fa2c61b37347.png" src="../../_images/ef3c616dc1ad5708524385f3624ba15e414c9ebf75e7d4fa16b6fa2c61b37347.png" />
+<img alt="../../_images/19cb7259d98985015df89deff8f28b566368056bcbcee5526fafb87e5e5af176.png" src="../../_images/19cb7259d98985015df89deff8f28b566368056bcbcee5526fafb87e5e5af176.png" />
 </div>
 </div>
 </section>
 </section>
 <section id="step-3-compare-with-other-color-magnitude-diagrams-for-pleiades">
-<h2>Step 3. Compare with other color-magnitude diagrams for Pleiades<a class="headerlink" href="#step-3-compare-with-other-color-magnitude-diagrams-for-pleiades" title="Permalink to this headline">#</a></h2>
+<h2>Step 3. Compare with other color-magnitude diagrams for Pleiades<a class="headerlink" href="#step-3-compare-with-other-color-magnitude-diagrams-for-pleiades" title="Link to this heading">#</a></h2>
 <p>There is nice discussion here: <a class="reference external" href="http://www.southastrodel.com/Page03009a.htm">http://www.southastrodel.com/Page03009a.htm</a>  about the color-magnitude diagram. Their Fig 4 looks slightly cleaner because part of this investigation was to select the 270 stars that are vetted members and restricted to stellar types more massive than K0.</p>
 <p>The dataset is from Raboud+1998 (1998A&amp;A…329..101R)</p>
 <p>Therefore in this next step, we will use the bibcode to select this data and overplot with the previous data to compare.</p>
@@ -3963,7 +4141,7 @@ <h2>Step 3. Compare with other color-magnitude diagrams for Pleiades<a class="he
 Waveband Coverage:
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2275/2733767379.py:11: DeprecationWarning: Conversion of an array with ndim &gt; 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2265/2733767379.py:11: DeprecationWarning: Conversion of an array with ndim &gt; 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)
   ind = int(match[0])
 </pre></div>
 </div>
@@ -4000,7 +4178,7 @@ <h2>Step 3. Compare with other color-magnitude diagrams for Pleiades<a class="he
 </pre></div>
 </div>
 <div class="output text_html"><div><i>Table length=270</i>
-<table id="table139800524338272" class="table-striped table-bordered table-condensed">
+<table id="table140573085594912" class="table-striped table-bordered table-condensed">
 <thead><tr><th>recno</th><th>HII</th><th>Vmag</th><th>B-V</th><th>xpos</th><th>ypos</th><th>Dist</th><th>Mult</th><th>Rem</th><th>Mass</th><th>MassA</th><th>MassB</th><th>MassC</th><th>MassD</th></tr></thead>
 <thead><tr><th></th><th></th><th>mag</th><th>mag</th><th>arcmin</th><th>arcmin</th><th>arcmin</th><th></th><th></th><th>Msun</th><th>Msun</th><th>Msun</th><th>Msun</th><th>Msun</th></tr></thead>
 <thead><tr><th>int32</th><th>int32</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>int16</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th></tr></thead>
@@ -4014,7 +4192,6 @@ <h2>Step 3. Compare with other color-magnitude diagrams for Pleiades<a class="he
 <tr><td>8</td><td>153</td><td>7.51</td><td>0.15</td><td>-44.39</td><td>57.94</td><td>72.99</td><td>1</td><td></td><td>1.74</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>
 <tr><td>9</td><td>157</td><td>7.9</td><td>0.34</td><td>-45.12</td><td>-27.97</td><td>53.08</td><td>2</td><td>SB</td><td>2.1</td><td>1.39</td><td>0.72</td><td>--</td><td>--</td></tr>
 <tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>
-<tr><td>261</td><td>30419</td><td>9.35</td><td>0.58</td><td>-144.87</td><td>195.18</td><td>243.07</td><td>2</td><td>PHB</td><td>2.09</td><td>1.09</td><td>1.0</td><td>--</td><td>--</td></tr>
 <tr><td>262</td><td>30679</td><td>12.2</td><td>1.0</td><td>-89.22</td><td>117.71</td><td>147.7</td><td>1</td><td></td><td>0.77</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>
 <tr><td>263</td><td>30700</td><td>11.14</td><td>0.71</td><td>-86.02</td><td>122.48</td><td>149.67</td><td>1</td><td></td><td>0.97</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>
 <tr><td>264</td><td>30909</td><td>8.58</td><td>0.29</td><td>-23.22</td><td>166.47</td><td>168.08</td><td>1</td><td></td><td>1.47</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>
@@ -4040,15 +4217,15 @@ <h2>Step 3. Compare with other color-magnitude diagrams for Pleiades<a class="he
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f261cb03ac0&gt;]
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7fd991d46200&gt;]
 </pre></div>
 </div>
-<img alt="../../_images/b7e29cce03cc9d6c7fcefd20620b3a59ea672629fb904c865480efecfdb4d18d.png" src="../../_images/b7e29cce03cc9d6c7fcefd20620b3a59ea672629fb904c865480efecfdb4d18d.png" />
+<img alt="../../_images/91c03175f5f6dc365a18e5e62d475c81441cfd23c2f2acb635dbbdeb18d71087.png" src="../../_images/91c03175f5f6dc365a18e5e62d475c81441cfd23c2f2acb635dbbdeb18d71087.png" />
 </div>
 </div>
 </section>
 <section id="bonus-step-4-the-cmd-as-a-distance-indicator">
-<h2>BONUS: Step 4: The CMD as a distance indicator<a class="headerlink" href="#bonus-step-4-the-cmd-as-a-distance-indicator" title="Permalink to this headline">#</a></h2>
+<h2>BONUS: Step 4: The CMD as a distance indicator<a class="headerlink" href="#bonus-step-4-the-cmd-as-a-distance-indicator" title="Link to this heading">#</a></h2>
 <p>Since the y-axis above is apparent magnitude, we can use the obvious features (e.g., main sequence curve) to translate the apparent magnitudes to absolute magnitudes (by comparing to published H-R diagrams given in absolute magnitudes) and measure the distance to Pleiades!</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -4068,10 +4245,10 @@ <h2>BONUS: Step 4: The CMD as a distance indicator<a class="headerlink" href="#b
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f25d8d4ecb0&gt;]
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7fd982d73cd0&gt;]
 </pre></div>
 </div>
-<img alt="../../_images/247f91967efccb915462f5ac1d94170e075c4aae836f427efe8aafd0d10014a7.png" src="../../_images/247f91967efccb915462f5ac1d94170e075c4aae836f427efe8aafd0d10014a7.png" />
+<img alt="../../_images/a9c87b024e935a85d9ff6baa0002392b3c2518935fb2c7969b2a2005a843d82e.png" src="../../_images/a9c87b024e935a85d9ff6baa0002392b3c2518935fb2c7969b2a2005a843d82e.png" />
 </div>
 </div>
 <div class="cell docutils container">
@@ -4102,11 +4279,10 @@ <h2>BONUS: Step 4: The CMD as a distance indicator<a class="headerlink" href="#b
 
               
               
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@@ -4181,6 +4355,7 @@ <h2>BONUS: Step 4: The CMD as a distance indicator<a class="headerlink" href="#b
   
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@@ -4207,8 +4382,8 @@ <h2>BONUS: Step 4: The CMD as a distance indicator<a class="headerlink" href="#b
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diff --git a/content/use_case_notebooks/proposal_prep_exercise.html b/content/use_case_notebooks/proposal_prep_exercise.html
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@@ -464,10 +492,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section id="proposal-preparation-exercise">
-<h1>Proposal Preparation Exercise<a class="headerlink" href="#proposal-preparation-exercise" title="Permalink to this headline">#</a></h1>
+<h1>Proposal Preparation Exercise<a class="headerlink" href="#proposal-preparation-exercise" title="Link to this heading">#</a></h1>
 <p>The Story: Suppose that you are preparing to write a proposal on NGC1365, aiming to investigate the intriguing black hole spin this galaxy with Chandra grating observations (see: <a class="reference external" href="https://www.space.com/19980-monster-black-hole-spin-discovery.html">https://www.space.com/19980-monster-black-hole-spin-discovery.html</a> )</p>
 <p>In writing proposals, there are often the same tasks that are required: including finding and analyzing previous observations of the proposal, and creating figures that include, e.g., multiwavelength images and spectrum for the source.</p>
 <div class="cell docutils container">
@@ -494,7 +522,7 @@ <h1>Proposal Preparation Exercise<a class="headerlink" href="#proposal-preparati
 </div>
 </div>
 <section id="step-1-find-out-what-the-previously-quoted-chandra-2-10-kev-flux-of-the-central-source-is-for-ngc-1365">
-<h2>Step 1: Find out what the previously quoted Chandra 2-10 keV flux of the central source is for NGC 1365<a class="headerlink" href="#step-1-find-out-what-the-previously-quoted-chandra-2-10-kev-flux-of-the-central-source-is-for-ngc-1365" title="Permalink to this headline">#</a></h2>
+<h2>Step 1: Find out what the previously quoted Chandra 2-10 keV flux of the central source is for NGC 1365<a class="headerlink" href="#step-1-find-out-what-the-previously-quoted-chandra-2-10-kev-flux-of-the-central-source-is-for-ngc-1365" title="Link to this heading">#</a></h2>
 <p>Hint: Do a Registry search for tables served by the HEASARC (where high energy data are archived) to find potential table with this information</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -538,9 +566,9 @@ <h2>Step 1: Find out what the previously quoted Chandra 2-10 keV flux of the cen
 </div>
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 <section id="step-2-make-images">
-<h2>Step 2: Make Images<a class="headerlink" href="#step-2-make-images" title="Permalink to this headline">#</a></h2>
+<h2>Step 2: Make Images<a class="headerlink" href="#step-2-make-images" title="Link to this heading">#</a></h2>
 <section id="create-ultraviolet-and-x-ray-images">
-<h3>Create ultraviolet and X-ray images<a class="headerlink" href="#create-ultraviolet-and-x-ray-images" title="Permalink to this headline">#</a></h3>
+<h3>Create ultraviolet and X-ray images<a class="headerlink" href="#create-ultraviolet-and-x-ray-images" title="Link to this heading">#</a></h3>
 <p>Hint: Start by checking what UV image services exist (e.g., GALEX?)</p>
 <div class="cell docutils container">
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@@ -590,9 +618,9 @@ <h3>Create ultraviolet and X-ray images<a class="headerlink" href="#create-ultra
 </section>
 </section>
 <section id="step-3-make-a-spectrum">
-<h2>Step 3: Make a spectrum<a class="headerlink" href="#step-3-make-a-spectrum" title="Permalink to this headline">#</a></h2>
+<h2>Step 3: Make a spectrum<a class="headerlink" href="#step-3-make-a-spectrum" title="Link to this heading">#</a></h2>
 <section id="find-what-chandra-spectral-observations-exist-already-for-this-source">
-<h3>Find what Chandra spectral observations exist already for this source<a class="headerlink" href="#find-what-chandra-spectral-observations-exist-already-for-this-source" title="Permalink to this headline">#</a></h3>
+<h3>Find what Chandra spectral observations exist already for this source<a class="headerlink" href="#find-what-chandra-spectral-observations-exist-already-for-this-source" title="Link to this heading">#</a></h3>
 <p>Hint: try searching for X-ray spectral data tables using the registry query</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -637,11 +665,10 @@ <h3>Find what Chandra spectral observations exist already for this source<a clas
 
               
               
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diff --git a/content/use_case_notebooks/proposal_prep_solution.html b/content/use_case_notebooks/proposal_prep_solution.html
index 0349026..99c3dd5 100644
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+++ b/content/use_case_notebooks/proposal_prep_solution.html
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@@ -464,10 +492,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section id="proposal-preparation-solution">
-<h1>Proposal Preparation Solution<a class="headerlink" href="#proposal-preparation-solution" title="Permalink to this headline">#</a></h1>
+<h1>Proposal Preparation Solution<a class="headerlink" href="#proposal-preparation-solution" title="Link to this heading">#</a></h1>
 <p>The Story: Suppose that you are preparing to write a proposal on NGC1365, aiming to investigate the intriguing black hole spin this galaxy with Chandra grating observations (see: <a class="reference external" href="https://www.space.com/19980-monster-black-hole-spin-discovery.html">Monster Blackhole Spin Revealed</a>)</p>
 <p>In writing proposals, there are often the same tasks that are required: including finding and analyzing previous observations of the proposal, and creating figures that include, e.g., multiwavelength images and spectrum for the source.</p>
 <div class="cell docutils container">
@@ -494,7 +522,7 @@ <h1>Proposal Preparation Solution<a class="headerlink" href="#proposal-preparati
 </div>
 </div>
 <section id="step-1-find-out-what-the-previously-quoted-chandra-2-10-kev-flux-of-the-central-source-is-for-ngc-1365">
-<h2>Step 1: Find out what the previously quoted Chandra 2-10 keV flux of the central source is for NGC 1365<a class="headerlink" href="#step-1-find-out-what-the-previously-quoted-chandra-2-10-kev-flux-of-the-central-source-is-for-ngc-1365" title="Permalink to this headline">#</a></h2>
+<h2>Step 1: Find out what the previously quoted Chandra 2-10 keV flux of the central source is for NGC 1365<a class="headerlink" href="#step-1-find-out-what-the-previously-quoted-chandra-2-10-kev-flux-of-the-central-source-is-for-ngc-1365" title="Link to this heading">#</a></h2>
 <p>Hint: Do a Registry search for tables served by the HEASARC (where high energy data are archived) to find potential table with this information</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -518,7 +546,7 @@ <h2>Step 1: Find out what the previously quoted Chandra 2-10 keV flux of the cen
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Table chansngcat has columns=[&#39;__row&#39;, &#39;__x_ra_dec&#39;, &#39;__y_ra_dec&#39;, &#39;__z_ra_dec&#39;, &#39;agn_flag&#39;, &#39;bii&#39;, &#39;class&#39;, &#39;dec&#39;, &#39;distance&#39;, &#39;exposure&#39;, &#39;fit_chi_squared&#39;, &#39;fit_dof&#39;, &#39;flux&#39;, &#39;flux_lower&#39;, &#39;flux_upper&#39;, &#39;hardness_ratio_0&#39;, &#39;hardness_ratio_0_error&#39;, &#39;hardness_ratio_1&#39;, &#39;hardness_ratio_1_error&#39;, &#39;hardness_ratio_2&#39;, &#39;hardness_ratio_2_error&#39;, &#39;hubble_type&#39;, &#39;instrument&#39;, &#39;lii&#39;, &#39;log_blackhole_mass&#39;, &#39;log_blackhole_mass_lower&#39;, &#39;log_blackhole_mass_upper&#39;, &#39;log_l_cpt1&#39;, &#39;log_l_cpt2&#39;, &#39;log_l_halpha&#39;, &#39;log_l_halpha_flag&#39;, &#39;log_lx&#39;, &#39;log_lx_lower&#39;, &#39;log_lx_note&#39;, &#39;log_lx_upper&#39;, &#39;name&#39;, &#39;nh&#39;, &#39;nh_from_hr&#39;, &#39;nh_from_hr_lower&#39;, &#39;nh_from_hr_upper&#39;, &#39;nh_gal&#39;, &#39;nh_lower&#39;, &#39;nh_upper&#39;, &#39;nuclear_class&#39;, &#39;obsid&#39;, &#39;off_set&#39;, &#39;ra&#39;, &#39;ref_spectrum&#39;, &#39;sigma&#39;, &#39;sigma_error&#39;, &#39;source_number&#39;, &#39;spectral_index&#39;, &#39;spectral_index_lower&#39;, &#39;spectral_index_upper&#39;, &#39;spectral_model&#39;, &#39;spectral_norm_cpt1&#39;, &#39;spectral_norm_cpt2&#39;, &#39;temperature&#39;, &#39;temperature_lower&#39;, &#39;temperature_upper&#39;]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Table chansngcat has columns=[&#39;&quot;__row&quot;&#39;, &#39;&quot;__x_ra_dec&quot;&#39;, &#39;&quot;__y_ra_dec&quot;&#39;, &#39;&quot;__z_ra_dec&quot;&#39;, &#39;&quot;distance&quot;&#39;, &#39;agn_flag&#39;, &#39;bii&#39;, &#39;class&#39;, &#39;dec&#39;, &#39;exposure&#39;, &#39;fit_chi_squared&#39;, &#39;fit_dof&#39;, &#39;flux&#39;, &#39;flux_lower&#39;, &#39;flux_upper&#39;, &#39;hardness_ratio_0&#39;, &#39;hardness_ratio_0_error&#39;, &#39;hardness_ratio_1&#39;, &#39;hardness_ratio_1_error&#39;, &#39;hardness_ratio_2&#39;, &#39;hardness_ratio_2_error&#39;, &#39;hubble_type&#39;, &#39;instrument&#39;, &#39;lii&#39;, &#39;log_blackhole_mass&#39;, &#39;log_blackhole_mass_lower&#39;, &#39;log_blackhole_mass_upper&#39;, &#39;log_l_cpt1&#39;, &#39;log_l_cpt2&#39;, &#39;log_l_halpha&#39;, &#39;log_l_halpha_flag&#39;, &#39;log_lx&#39;, &#39;log_lx_lower&#39;, &#39;log_lx_note&#39;, &#39;log_lx_upper&#39;, &#39;name&#39;, &#39;nh&#39;, &#39;nh_from_hr&#39;, &#39;nh_from_hr_lower&#39;, &#39;nh_from_hr_upper&#39;, &#39;nh_gal&#39;, &#39;nh_lower&#39;, &#39;nh_upper&#39;, &#39;nuclear_class&#39;, &#39;obsid&#39;, &#39;off_set&#39;, &#39;ra&#39;, &#39;ref_spectrum&#39;, &#39;sigma&#39;, &#39;sigma_error&#39;, &#39;source_number&#39;, &#39;spectral_index&#39;, &#39;spectral_index_lower&#39;, &#39;spectral_index_upper&#39;, &#39;spectral_model&#39;, &#39;spectral_norm_cpt1&#39;, &#39;spectral_norm_cpt2&#39;, &#39;temperature&#39;, &#39;temperature_lower&#39;, &#39;temperature_upper&#39;]
 </pre></div>
 </div>
 </div>
@@ -550,7 +578,7 @@ <h2>Step 1: Find out what the previously quoted Chandra 2-10 keV flux of the cen
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=1</i>
-<table id="table140006838821616" class="table-striped table-bordered table-condensed">
+<table id="table140020841036912" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ra</th><th>dec</th><th>exposure</th><th>flux</th><th>flux_lower</th><th>flux_upper</th></tr></thead>
 <thead><tr><th>deg</th><th>deg</th><th>s</th><th>erg/s/cm^2</th><th>erg/s/cm^2</th><th>erg/s/cm^2</th></tr></thead>
 <thead><tr><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th></tr></thead>
@@ -559,9 +587,9 @@ <h2>Step 1: Find out what the previously quoted Chandra 2-10 keV flux of the cen
 </div>
 </section>
 <section id="step-2-make-images">
-<h2>Step 2: Make Images<a class="headerlink" href="#step-2-make-images" title="Permalink to this headline">#</a></h2>
+<h2>Step 2: Make Images<a class="headerlink" href="#step-2-make-images" title="Link to this heading">#</a></h2>
 <section id="create-ultraviolet-and-x-ray-images">
-<h3>Create ultraviolet and X-ray images<a class="headerlink" href="#create-ultraviolet-and-x-ray-images" title="Permalink to this headline">#</a></h3>
+<h3>Create ultraviolet and X-ray images<a class="headerlink" href="#create-ultraviolet-and-x-ray-images" title="Link to this heading">#</a></h3>
 <p>Hint: Start by checking what UV image services exist (e.g., GALEX?)</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -573,7 +601,7 @@ <h3>Create ultraviolet and X-ray images<a class="headerlink" href="#create-ultra
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=3</i>
-<table id="table140006838614384" class="table-striped table-bordered table-condensed">
+<table id="table140020841037152" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ivoid</th><th>short_name</th></tr></thead>
 <thead><tr><th>object</th><th>object</th></tr></thead>
 <tr><td>ivo://archive.stsci.edu/sia/galex</td><td>GALEX</td></tr>
@@ -592,7 +620,7 @@ <h3>Create ultraviolet and X-ray images<a class="headerlink" href="#create-ultra
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=3</i>
-<table id="table140006838828768" class="table-striped table-bordered table-condensed">
+<table id="table140021781262928" class="table-striped table-bordered table-condensed">
 <thead><tr><th>ivoid</th><th>short_name</th></tr></thead>
 <thead><tr><th>object</th><th>object</th></tr></thead>
 <tr><td>ivo://archive.stsci.edu/sia/galex</td><td>GALEX</td></tr>
@@ -620,30 +648,29 @@ <h3>Create ultraviolet and X-ray images<a class="headerlink" href="#create-ultra
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=809</i>
-<table id="table140006838950720" class="table-striped table-bordered table-condensed">
+<table id="table140021781421728" class="table-striped table-bordered table-condensed">
 <thead><tr><th>productType</th><th>imageFormat</th><th>contentLength</th><th>name</th><th>collection</th><th>insname</th><th>metaRelease</th><th>dataRelease</th><th>trgposRA</th><th>trgPosDec</th><th>s_region</th><th>position_naxes</th><th>position_naxis</th><th>position_scale</th><th>crpix</th><th>crval</th><th>cdmatrix</th><th>coordFrame</th><th>projection</th><th>position_ctype1</th><th>position_ctype2</th><th>position_cunit1</th><th>position_cunit2</th><th>timBoundsSTCS</th><th>time_bounds_cval1</th><th>time_bounds_cval2</th><th>time_bounds_center</th><th>timExposure</th><th>energy_bandpassName</th><th>energy_bounds_cval1</th><th>energy_bounds_cval2</th><th>energy_bounds_center</th><th>energy_units</th><th>publisherDID</th><th>accessURL</th><th>cloud_access</th></tr></thead>
 <thead><tr><th>object</th><th>object</th><th>int32</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>object</th><th>int32</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>str3</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>
-<tr><td>CATALOG</td><td>image/fits</td><td>12795448</td><td>FORNAX_MOS07-xd-mcat.fits.gz</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-xd-mcat.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-xd-mcat.fits.gz&quot;}}</td></tr>
-<tr><td>AUXILIARY</td><td>image/fits</td><td>26657879</td><td>FORNAX_MOS07-nd-intbgsub.fits.gz</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-intbgsub.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-intbgsub.fits.gz&quot;}}</td></tr>
-<tr><td>AUXILIARY</td><td>image/fits</td><td>69109</td><td>FORNAX_MOS07-nd-flags.fits.gz</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-flags.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-flags.fits.gz&quot;}}</td></tr>
-<tr><td>AUXILIARY</td><td>image/fits</td><td>25025</td><td>FORNAX_MOS07-nd-flagstar.fits.gz</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-flagstar.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-flagstar.fits.gz&quot;}}</td></tr>
-<tr><td>THUMBNAIL</td><td>image/jpeg</td><td>11223</td><td>FORNAX_MOS07-xd-int_2color_thumb.jpg</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/qa/FORNAX_MOS07-xd-int_2color_thumb.jpg</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/qa/FORNAX_MOS07-xd-int_2color_thumb.jpg&quot;}}</td></tr>
-<tr><td>INFO</td><td>image/fits</td><td>16434</td><td>FORNAX_MOS07-nd-cat_mch_rtastar.fits.gz</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-cat_mch_rtastar.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-cat_mch_rtastar.fits.gz&quot;}}</td></tr>
-<tr><td>PREVIEW</td><td>image/jpeg</td><td>606044</td><td>FORNAX_MOS07-xd-int_2color_medium_annot.jpg</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/qa/FORNAX_MOS07-xd-int_2color_medium_annot.jpg</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/qa/FORNAX_MOS07-xd-int_2color_medium_annot.jpg&quot;}}</td></tr>
-<tr><td>SCIENCE</td><td>image/fits</td><td>21333361</td><td>FORNAX_MOS07-nd-int.fits.gz</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-int.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-int.fits.gz&quot;}}</td></tr>
-<tr><td>AUXILIARY</td><td>image/fits</td><td>6466083</td><td>FORNAX_MOS07-nd-cnt.fits.gz</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-cnt.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-cnt.fits.gz&quot;}}</td></tr>
-<tr><td>AUXILIARY</td><td>image/fits</td><td>2512896</td><td>FORNAX_MOS07-nd-skybg.fits.gz</td><td>GALEX</td><td>GALEX</td><td>5/11/2010 12:14:57 AM</td><td>5/11/2010 12:14:57 AM</td><td>54.0331936068986</td><td>-36.367881838288</td><td>CIRCLE ICRS  54.03319361 -36.36788184 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0332 -36.3679]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54105.698090 55148.072083</td><td>54105.6980902778</td><td>55148.0720833333</td><td>54626.8850868056</td><td>3241.6</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337728220725248</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-skybg.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/01-main/0001-img/07-try/FORNAX_MOS07-nd-skybg.fits.gz&quot;}}</td></tr>
+<tr><td>AUXILIARY</td><td>image/fits</td><td>2707665</td><td>NGA_NGC1365_0002_premap-fd-movie.fits.gz</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 10:52:02 PM</td><td>4/28/2010 10:52:02 PM</td><td>53.3547998389325</td><td>-36.140270948367</td><td>CIRCLE ICRS  53.35479984 -36.14027095 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.3548 -36.1403]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 53328.488796 53328.508032</td><td>53328.4887962963</td><td>53328.5080324074</td><td>53328.4984143519</td><td>1662.95</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2483772577986641920</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002_premap-fd-movie.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002_premap-fd-movie.fits.gz&quot;}}</td></tr>
+<tr><td>AUXILIARY</td><td>image/fits</td><td>2707938</td><td>NGA_NGC1365_0002-fd-movie.fits.gz</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 10:52:02 PM</td><td>4/28/2010 10:52:02 PM</td><td>53.3547998389325</td><td>-36.140270948367</td><td>CIRCLE ICRS  53.35479984 -36.14027095 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.3548 -36.1403]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 53328.488796 53328.508032</td><td>53328.4887962963</td><td>53328.5080324074</td><td>53328.4984143519</td><td>1662.95</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2483772577986641920</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-movie.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-movie.fits.gz&quot;}}</td></tr>
+<tr><td>AUXILIARY</td><td>image/fits</td><td>1478092</td><td>NGA_NGC1365_0002-fd-rr.fits.gz</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 10:52:02 PM</td><td>4/28/2010 10:52:02 PM</td><td>53.3547998389325</td><td>-36.140270948367</td><td>CIRCLE ICRS  53.35479984 -36.14027095 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.3548 -36.1403]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 53328.488796 53328.508032</td><td>53328.4887962963</td><td>53328.5080324074</td><td>53328.4984143519</td><td>1662.95</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2483772577986641920</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-rr.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-rr.fits.gz&quot;}}</td></tr>
+<tr><td>AUXILIARY</td><td>image/fits</td><td>127462</td><td>NGA_NGC1365_0002-fd-objmask.fits.gz</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 10:52:02 PM</td><td>4/28/2010 10:52:02 PM</td><td>53.3547998389325</td><td>-36.140270948367</td><td>CIRCLE ICRS  53.35479984 -36.14027095 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.3548 -36.1403]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 53328.488796 53328.508032</td><td>53328.4887962963</td><td>53328.5080324074</td><td>53328.4984143519</td><td>1662.95</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2483772577986641920</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-objmask.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-objmask.fits.gz&quot;}}</td></tr>
+<tr><td>AUXILIARY</td><td>image/fits</td><td>2062922</td><td>NGA_NGC1365_0002-fd-cnt.fits.gz</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 10:52:02 PM</td><td>4/28/2010 10:52:02 PM</td><td>53.3547998389325</td><td>-36.140270948367</td><td>CIRCLE ICRS  53.35479984 -36.14027095 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.3548 -36.1403]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 53328.488796 53328.508032</td><td>53328.4887962963</td><td>53328.5080324074</td><td>53328.4984143519</td><td>1662.95</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2483772577986641920</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-cnt.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-cnt.fits.gz&quot;}}</td></tr>
+<tr><td>CATALOG</td><td>image/fits</td><td>1387259</td><td>NGA_NGC1365_0002-fd-cat.fits.gz</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 10:52:02 PM</td><td>4/28/2010 10:52:02 PM</td><td>53.3547998389325</td><td>-36.140270948367</td><td>CIRCLE ICRS  53.35479984 -36.14027095 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.3548 -36.1403]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 53328.488796 53328.508032</td><td>53328.4887962963</td><td>53328.5080324074</td><td>53328.4984143519</td><td>1662.95</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2483772577986641920</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-cat.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-cat.fits.gz&quot;}}</td></tr>
+<tr><td>AUXILIARY</td><td>image/fits</td><td>4622533</td><td>NGA_NGC1365_0002-fd-ncat.fits.gz</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 10:52:02 PM</td><td>4/28/2010 10:52:02 PM</td><td>53.3547998389325</td><td>-36.140270948367</td><td>CIRCLE ICRS  53.35479984 -36.14027095 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.3548 -36.1403]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 53328.488796 53328.508032</td><td>53328.4887962963</td><td>53328.5080324074</td><td>53328.4984143519</td><td>1662.95</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2483772577986641920</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-ncat.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/NGA_NGC1365_0002-fd-ncat.fits.gz&quot;}}</td></tr>
+<tr><td>PREVIEW</td><td>image/jpeg</td><td>2218425</td><td>NGA_NGC1365_0002-xd-int_2color.jpg</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 10:52:02 PM</td><td>4/28/2010 10:52:02 PM</td><td>53.3547998389325</td><td>-36.140270948367</td><td>CIRCLE ICRS  53.35479984 -36.14027095 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.3548 -36.1403]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 53328.488796 53328.508032</td><td>53328.4887962963</td><td>53328.5080324074</td><td>53328.4984143519</td><td>1662.95</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2483772577986641920</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/qa/NGA_NGC1365_0002-xd-int_2color.jpg</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/qa/NGA_NGC1365_0002-xd-int_2color.jpg&quot;}}</td></tr>
+<tr><td>PREVIEW</td><td>image/jpeg</td><td>401798</td><td>NGA_NGC1365_0002-xd-int_2color_large.jpg</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 10:52:02 PM</td><td>4/28/2010 10:52:02 PM</td><td>53.3547998389325</td><td>-36.140270948367</td><td>CIRCLE ICRS  53.35479984 -36.14027095 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.3548 -36.1403]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 53328.488796 53328.508032</td><td>53328.4887962963</td><td>53328.5080324074</td><td>53328.4984143519</td><td>1662.95</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2483772577986641920</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/qa/NGA_NGC1365_0002-xd-int_2color_large.jpg</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/05057-NGA_NGC1365/d/00-visits/0002-img/07-try/qa/NGA_NGC1365_0002-xd-int_2color_large.jpg&quot;}}</td></tr>
 <tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>
-<tr><td>INFO</td><td>image/fits</td><td>9178</td><td>AIS_423_0002_sg49-asprta.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401042 54460.402153</td><td>54460.4010416667</td><td>54460.4021527778</td><td>54460.4015972222</td><td>96.0</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-asprta.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-asprta.fits.gz&quot;}}</td></tr>
-<tr><td>AUXILIARY</td><td>image/fits</td><td>2203</td><td>AIS_423_0002_sg49-fd-flag_tbl.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401042 54460.402153</td><td>54460.4010416667</td><td>54460.4021527778</td><td>54460.4015972222</td><td>96.0</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-fd-flag_tbl.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-fd-flag_tbl.fits.gz&quot;}}</td></tr>
-<tr><td>PREVIEW</td><td>image/jpeg</td><td>618132</td><td>AIS_423_0002_sg49-xd-int_2color_medium_annot.jpg</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401042 54460.402153</td><td>54460.4010416667</td><td>54460.4021527778</td><td>54460.4015972222</td><td>96.0</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color_medium_annot.jpg</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color_medium_annot.jpg&quot;}}</td></tr>
-<tr><td>AUXILIARY</td><td>image/fits</td><td>54117</td><td>AIS_423_0002_sg49-fd-exp.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401042 54460.402153</td><td>54460.4010416667</td><td>54460.4021527778</td><td>54460.4015972222</td><td>96.0</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-fd-exp.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-fd-exp.fits.gz&quot;}}</td></tr>
-<tr><td>AUXILIARY</td><td>image/fits</td><td>3967636</td><td>AIS_423_0002_sg49-fd-intbgsub.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401042 54460.402153</td><td>54460.4010416667</td><td>54460.4021527778</td><td>54460.4015972222</td><td>96.0</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-fd-intbgsub.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-fd-intbgsub.fits.gz&quot;}}</td></tr>
-<tr><td>AUXILIARY</td><td>image/fits</td><td>11794</td><td>AIS_423_0002_sg49-fd-flags.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401042 54460.402153</td><td>54460.4010416667</td><td>54460.4021527778</td><td>54460.4015972222</td><td>96.0</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-fd-flags.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-fd-flags.fits.gz&quot;}}</td></tr>
-<tr><td>INFO</td><td>image/fits</td><td>13483</td><td>AIS_423_0002_sg49-rtastar.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401042 54460.402153</td><td>54460.4010416667</td><td>54460.4021527778</td><td>54460.4015972222</td><td>96.0</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-rtastar.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-rtastar.fits.gz&quot;}}</td></tr>
-<tr><td>INFO</td><td>image/fits</td><td>8757</td><td>AIS_423_0002_sg49-aspraw.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401042 54460.402153</td><td>54460.4010416667</td><td>54460.4021527778</td><td>54460.4015972222</td><td>96.0</td><td>FUV</td><td>1.34e-07</td><td>1.806e-07</td><td>1.573e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-aspraw.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-aspraw.fits.gz&quot;}}</td></tr>
-<tr><td>AUXILIARY</td><td>image/fits</td><td>10482447</td><td>FORNAX_MOS07_0002-nd-rrhr.fits.gz</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 3:21:44 PM</td><td>4/28/2010 3:21:44 PM</td><td>54.0359149055626</td><td>-36.3362710522186</td><td>CIRCLE ICRS  54.03591491 -36.33627105 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0359 -36.3363]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54110.286030 54110.296377</td><td>54110.2860300926</td><td>54110.2963773148</td><td>54110.2912037037</td><td>894.45</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337590815326208</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/00-visits/0002-img/07-try/FORNAX_MOS07_0002-nd-rrhr.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/00-visits/0002-img/07-try/FORNAX_MOS07_0002-nd-rrhr.fits.gz&quot;}}</td></tr>
-<tr><td>AUXILIARY</td><td>image/fits</td><td>207665</td><td>FORNAX_MOS07_0002-nd-objmask.fits.gz</td><td>GALEX</td><td>GALEX</td><td>4/28/2010 3:21:44 PM</td><td>4/28/2010 3:21:44 PM</td><td>54.0359149055626</td><td>-36.3362710522186</td><td>CIRCLE ICRS  54.03591491 -36.33627105 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[54.0359 -36.3363]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54110.286030 54110.296377</td><td>54110.2860300926</td><td>54110.2963773148</td><td>54110.2912037037</td><td>894.45</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?2555337590815326208</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/00-visits/0002-img/07-try/FORNAX_MOS07_0002-nd-objmask.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/01-vsn/07091-FORNAX_MOS07/d/00-visits/0002-img/07-try/FORNAX_MOS07_0002-nd-objmask.fits.gz&quot;}}</td></tr>
+<tr><td>CATALOG</td><td>image/fits</td><td>1765053</td><td>AIS_423_0002_sg49-nd-cat.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-nd-cat.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-nd-cat.fits.gz&quot;}}</td></tr>
+<tr><td>CATALOG</td><td>image/fits</td><td>269663</td><td>AIS_423_0002_sg49_asprefine-nd-cat.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49_asprefine-nd-cat.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49_asprefine-nd-cat.fits.gz&quot;}}</td></tr>
+<tr><td>AUXILIARY</td><td>image/fits</td><td>339243</td><td>AIS_423_0002_sg49-nd-fcat.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-nd-fcat.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-nd-fcat.fits.gz&quot;}}</td></tr>
+<tr><td>PREVIEW</td><td>image/jpeg</td><td>3487526</td><td>AIS_423_0002_sg49-xd-int_2color.jpg</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color.jpg</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color.jpg&quot;}}</td></tr>
+<tr><td>PREVIEW</td><td>image/jpeg</td><td>663752</td><td>AIS_423_0002_sg49-xd-int_2color_large.jpg</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color_large.jpg</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color_large.jpg&quot;}}</td></tr>
+<tr><td>PREVIEW</td><td>image/jpeg</td><td>575892</td><td>AIS_423_0002_sg49-xd-int_2color_medium.jpg</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color_medium.jpg</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color_medium.jpg&quot;}}</td></tr>
+<tr><td>PREVIEW</td><td>image/jpeg</td><td>134331</td><td>AIS_423_0002_sg49-xd-int_2color_small.jpg</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color_small.jpg</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/qa/AIS_423_0002_sg49-xd-int_2color_small.jpg&quot;}}</td></tr>
+<tr><td>INFO</td><td>image/fits</td><td>8737</td><td>AIS_423_0002_sg49-asp.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-asp.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-asp.fits.gz&quot;}}</td></tr>
+<tr><td>AUXILIARY</td><td>image/fits</td><td>64456</td><td>AIS_423_0002_sg49-nd-cat_mch_flagstar.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-nd-cat_mch_flagstar.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-nd-cat_mch_flagstar.fits.gz&quot;}}</td></tr>
+<tr><td>AUXILIARY</td><td>image/fits</td><td>25691</td><td>AIS_423_0002_sg49-nd-flag_tbl.fits.gz</td><td>GALEX</td><td>GALEX</td><td>6/16/2010 2:52:42 AM</td><td>6/16/2010 2:52:42 AM</td><td>53.9452301043047</td><td>-36.1117650864775</td><td>CIRCLE ICRS  53.94523010 -36.11176509 0.625</td><td>2</td><td>[3840 3840]</td><td>[-0.00041666667 0.00041666667]</td><td>[1920.5 1920.5]</td><td>[53.9452 -36.1118]</td><td>[-0.000416667 -0.0 -0.0 0.000416667]</td><td>ICRS</td><td>TAN</td><td>RA---TAN</td><td>DEC--TAN</td><td>deg</td><td>deg</td><td>RANGE 54460.401030 54460.402222</td><td>54460.4010300926</td><td>54460.4022222222</td><td>54460.4016261574</td><td>103.0</td><td>NUV</td><td>1.693e-07</td><td>3.007e-07</td><td>2.35e-07</td><td>meters</td><td>ivo://archive.stsci.edu/GALEX?6385798660088659968</td><td>https://mast.stsci.edu/api/v0.1/Download/file?uri=mast:GALEX/url/data/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-nd-flag_tbl.fits.gz</td><td>{&quot;aws&quot;: {&quot;bucket_name&quot;:&quot;stpubdata&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;access&quot;:&quot;open&quot;,&quot;key&quot;:&quot;galex/GR6/pipe/02-vsn/50423-AIS_423/d/00-visits/0002-img/07-try/AIS_423_0002_sg49-nd-flag_tbl.fits.gz&quot;}}</td></tr>
 </table></div></div></div>
 </div>
 <div class="cell docutils container">
@@ -657,11 +684,11 @@ <h3>Create ultraviolet and X-ray images<a class="headerlink" href="#create-ultra
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=2</i>
-<table id="table140006838820608" class="table-striped table-bordered table-condensed">
+<table id="table140020784058224" class="table-striped table-bordered table-condensed">
 <thead><tr><th>Survey</th><th>Ra</th><th>Dec</th><th>Dim</th><th>Size</th><th>Scale</th><th>Format</th><th>PixFlags</th><th>URL</th><th>LogicalName</th></tr></thead>
 <thead><tr><th>object</th><th>float64</th><th>float64</th><th>int32</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>
-<tr><td>galexnear</td><td>53.4019083</td><td>-36.1406583</td><td>2</td><td>[300 300]</td><td>[-0.0003333333333333334 0.0003333333333333334]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=53.4019083%2C-36.1406583&amp;survey=galexnear&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.10000000000000002%2C0.10000000000000002&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304684503&amp;return=FITS</td><td>1</td></tr>
-<tr><td>galexfar</td><td>53.4019083</td><td>-36.1406583</td><td>2</td><td>[300 300]</td><td>[-0.0003333333333333334 0.0003333333333333334]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=53.4019083%2C-36.1406583&amp;survey=galexfar&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.10000000000000002%2C0.10000000000000002&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1704304684723&amp;return=FITS</td><td>2</td></tr>
+<tr><td>galexnear</td><td>53.40190833</td><td>-36.14065833</td><td>2</td><td>[300 300]</td><td>[-0.0003333333333333334 0.0003333333333333334]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=53.40190833%2C-36.14065833&amp;survey=galexnear&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.10000000000000002%2C0.10000000000000002&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546471271&amp;return=FITS</td><td>1</td></tr>
+<tr><td>galexfar</td><td>53.40190833</td><td>-36.14065833</td><td>2</td><td>[300 300]</td><td>[-0.0003333333333333334 0.0003333333333333334]</td><td>image/fits</td><td>F</td><td>https://skyview.gsfc.nasa.gov/cgi-bin/images?position=53.40190833%2C-36.14065833&amp;survey=galexfar&amp;pixels=300%2C300&amp;sampler=LI&amp;size=0.10000000000000002%2C0.10000000000000002&amp;projection=Tan&amp;coordinates=J2000.0&amp;requestID=skv1720546471457&amp;return=FITS</td><td>2</td></tr>
 </table></div></div></div>
 </div>
 <div class="cell docutils container">
@@ -693,10 +720,10 @@ <h3>Create ultraviolet and X-ray images<a class="headerlink" href="#create-ultra
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.image.AxesImage at 0x7f55e178e170&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.image.AxesImage at 0x7f592073b670&gt;
 </pre></div>
 </div>
-<img alt="../../_images/562a1eb47a96225892d2d094c82a4147202e02a94623836882b39f281951770e.png" src="../../_images/562a1eb47a96225892d2d094c82a4147202e02a94623836882b39f281951770e.png" />
+<img alt="../../_images/d9f3c3c9c44191f48b08af789d6b155c9390a3159d5079bfb8d8b019d1af0264.png" src="../../_images/d9f3c3c9c44191f48b08af789d6b155c9390a3159d5079bfb8d8b019d1af0264.png" />
 </div>
 </div>
 <p>Hint: Repeat steps for X-ray image. (Note: Ideally, we would find an image in the Chandra ‘cxc’ catalog)</p>
@@ -713,6 +740,7 @@ <h3>Create ultraviolet and X-ray images<a class="headerlink" href="#create-ultra
         CDA         ivo://cxc.harvard.edu/cda.siap
         CSC         ivo://cxc.harvard.edu/csc.siap
       CSCR1       ivo://cxc.harvard.edu/cscr1.siap
+        CSC     ivo://cxc.harvard.edu/cscr2.1.siap
       CSCR2       ivo://cxc.harvard.edu/cscr2.siap
     Chandra          ivo://nasa.heasarc/chanmaster
 GOODSACISFB ivo://nasa.heasarc/skyview/goodsacisfb
@@ -755,15 +783,15 @@ <h3>Create ultraviolet and X-ray images<a class="headerlink" href="#create-ultra
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(460.0, 560.0)
 </pre></div>
 </div>
-<img alt="../../_images/bd1d82ec208c4da2eebc800d78bcd673b6ca0799183504bfa6796658c6aac656.png" src="../../_images/bd1d82ec208c4da2eebc800d78bcd673b6ca0799183504bfa6796658c6aac656.png" />
+<img alt="../../_images/20f65713ad81fe318b31b2b6815a45fa435105f4e770676df342bf9922c1e7a2.png" src="../../_images/20f65713ad81fe318b31b2b6815a45fa435105f4e770676df342bf9922c1e7a2.png" />
 </div>
 </div>
 </section>
 </section>
 <section id="step-3-make-a-spectrum">
-<h2>Step 3: Make a spectrum<a class="headerlink" href="#step-3-make-a-spectrum" title="Permalink to this headline">#</a></h2>
+<h2>Step 3: Make a spectrum<a class="headerlink" href="#step-3-make-a-spectrum" title="Link to this heading">#</a></h2>
 <section id="find-what-chandra-spectral-observations-exist-already-for-this-source">
-<h3>Find what Chandra spectral observations exist already for this source<a class="headerlink" href="#find-what-chandra-spectral-observations-exist-already-for-this-source" title="Permalink to this headline">#</a></h3>
+<h3>Find what Chandra spectral observations exist already for this source<a class="headerlink" href="#find-what-chandra-spectral-observations-exist-already-for-this-source" title="Link to this heading">#</a></h3>
 <p>Hint: try searching for X-ray spectral data tables using the registry query</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -775,7 +803,7 @@ <h3>Find what Chandra spectral observations exist already for this source<a clas
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=6</i>
-<table id="table140006811248448" class="table-striped table-bordered table-condensed">
+<table id="table140020717724400" class="table-striped table-bordered table-condensed">
 <thead><tr><th>short_name</th><th>ivoid</th><th>waveband</th></tr></thead>
 <thead><tr><th>object</th><th>object</th><th>object</th></tr></thead>
 <tr><td>Chandra</td><td>ivo://nasa.heasarc/chanmaster</td><td>x-ray</td></tr>
@@ -796,25 +824,25 @@ <h3>Find what Chandra spectral observations exist already for this source<a clas
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><div><i>Table length=15</i>
-<table id="table140006811244944" class="table-striped table-bordered table-condensed">
+<table id="table140020717727232" class="table-striped table-bordered table-condensed">
 <thead><tr><th>obsid</th><th>status</th><th>name</th><th>ra</th><th>dec</th><th>time</th><th>detector</th><th>grating</th><th>exposure</th><th>type</th><th>pi</th><th>public_date</th><th>datalink</th><th>SSA_start_time</th><th>SSA_tmid</th><th>SSA_stop_time</th><th>SSA_duration</th><th>SSA_coord_obs</th><th>SSA_ra</th><th>SSA_dec</th><th>SSA_fov</th><th>SSA_title</th><th>SSA_reference</th><th>SSA_datalength</th><th>SSA_datamodel</th><th>SSA_instrument</th><th>SSA_publisher</th><th>SSA_format</th><th>SSA_wavelength_min</th><th>SSA_wavelength_max</th><th>SSA_bandwidth</th><th>SSA_bandpass</th><th>cloud_access</th></tr></thead>
 <thead><tr><th></th><th></th><th></th><th>deg</th><th>deg</th><th>d</th><th></th><th></th><th>s</th><th></th><th></th><th>d</th><th></th><th>d</th><th>d</th><th>d</th><th>s</th><th>deg</th><th>deg</th><th>deg</th><th>deg</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>m</th><th>m</th><th>m</th><th>m</th><th></th></tr></thead>
 <thead><tr><th>object</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>float64</th><th>object</th><th>object</th><th>int32</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>object</th></tr></thead>
-<tr><td>25036</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59345.6677</td><td>ACIS-S</td><td>HETG</td><td>18180</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4448:chandra.obs.misc</td><td>59345.6677199074</td><td>--</td><td>--</td><td>18180.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf25036N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/6/25036/primary/acisf25036N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/6/25036/primary/acisf25036N001_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>25024</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59340.9376</td><td>ACIS-S</td><td>HETG</td><td>14080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4449:chandra.obs.misc</td><td>59340.9376041667</td><td>--</td><td>--</td><td>14080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf25024N002_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/4/25024/primary/acisf25024N002_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/4/25024/primary/acisf25024N002_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>24737</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59319.8031</td><td>ACIS-S</td><td>HETG</td><td>20080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4450:chandra.obs.misc</td><td>59319.8030787037</td><td>--</td><td>--</td><td>20080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24737N002_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/7/24737/primary/acisf24737N002_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/7/24737/primary/acisf24737N002_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>24787</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59340.0616</td><td>ACIS-S</td><td>HETG</td><td>39090</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4451:chandra.obs.misc</td><td>59340.0615740741</td><td>--</td><td>--</td><td>39090.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24787N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/7/24787/primary/acisf24787N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/7/24787/primary/acisf24787N001_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>24788</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59342.738</td><td>ACIS-S</td><td>HETG</td><td>25080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4452:chandra.obs.misc</td><td>59342.737974537</td><td>--</td><td>--</td><td>25080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24788N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/8/24788/primary/acisf24788N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/8/24788/primary/acisf24788N001_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>24789</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59333.3037</td><td>ACIS-S</td><td>HETG</td><td>21280</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4453:chandra.obs.misc</td><td>59333.30375</td><td>--</td><td>--</td><td>21280.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24789N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/9/24789/primary/acisf24789N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/9/24789/primary/acisf24789N001_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>24790</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59343.4834</td><td>ACIS-S</td><td>HETG</td><td>18080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4454:chandra.obs.misc</td><td>59343.4834143519</td><td>--</td><td>--</td><td>18080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24790N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/0/24790/primary/acisf24790N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/0/24790/primary/acisf24790N001_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>24792</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59344.0923</td><td>ACIS-S</td><td>HETG</td><td>17080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4455:chandra.obs.misc</td><td>59344.0923148148</td><td>--</td><td>--</td><td>17080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24792N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/2/24792/primary/acisf24792N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/2/24792/primary/acisf24792N001_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>24791</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59326.8302</td><td>ACIS-S</td><td>HETG</td><td>26580</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4456:chandra.obs.misc</td><td>59326.8301736111</td><td>--</td><td>--</td><td>26580.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24791N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/1/24791/primary/acisf24791N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/1/24791/primary/acisf24791N001_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>24793</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59335.6602</td><td>ACIS-S</td><td>HETG</td><td>17080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4457:chandra.obs.misc</td><td>59335.6602083333</td><td>--</td><td>--</td><td>17080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24793N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/3/24793/primary/acisf24793N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/3/24793/primary/acisf24793N001_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>24794</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59321.5437</td><td>ACIS-S</td><td>HETG</td><td>38090</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4458:chandra.obs.misc</td><td>59321.5437152778</td><td>--</td><td>--</td><td>38090.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24794N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/4/24794/primary/acisf24794N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/4/24794/primary/acisf24794N001_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>24795</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59328.2974</td><td>ACIS-S</td><td>HETG</td><td>27880</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4459:chandra.obs.misc</td><td>59328.2974189815</td><td>--</td><td>--</td><td>27880.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24795N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/5/24795/primary/acisf24795N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/5/24795/primary/acisf24795N001_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>25015</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59336.1988</td><td>ACIS-S</td><td>HETG</td><td>17080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4460:chandra.obs.misc</td><td>59336.1987962963</td><td>--</td><td>--</td><td>17080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf25015N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/5/25015/primary/acisf25015N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/5/25015/primary/acisf25015N001_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>13921</td><td>archived</td><td>NGC 1365</td><td>53.40167</td><td>-36.14028</td><td>56029.0272</td><td>ACIS-S</td><td>HETG</td><td>110050</td><td>GO</td><td>Reeves</td><td>56398</td><td>4464:chandra.obs.misc</td><td>56029.0271643518</td><td>--</td><td>--</td><td>110050.0</td><td>--</td><td>53.40167</td><td>-36.14028</td><td>0.81</td><td>acisf13921N002_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/1/13921/primary/acisf13921N002_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/1/13921/primary/acisf13921N002_pha2.fits.gz&quot;}}</td></tr>
-<tr><td>13920</td><td>archived</td><td>NGC 1365</td><td>53.40167</td><td>-36.14028</td><td>56026.4065</td><td>ACIS-S</td><td>HETG</td><td>90040</td><td>GO</td><td>Reeves</td><td>56398</td><td>4465:chandra.obs.misc</td><td>56026.4065162037</td><td>--</td><td>--</td><td>90040.0</td><td>--</td><td>53.40167</td><td>-36.14028</td><td>0.81</td><td>acisf13920N002_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/0/13920/primary/acisf13920N002_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/0/13920/primary/acisf13920N002_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>24737</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59319.8031</td><td>ACIS-S</td><td>HETG</td><td>20080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4492:chandra.obs.misc</td><td>59319.8030787037</td><td>--</td><td>--</td><td>20080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24737N002_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/7/24737/primary/acisf24737N002_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/7/24737/primary/acisf24737N002_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>25024</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59340.9376</td><td>ACIS-S</td><td>HETG</td><td>14080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4493:chandra.obs.misc</td><td>59340.9376041667</td><td>--</td><td>--</td><td>14080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf25024N002_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/4/25024/primary/acisf25024N002_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/4/25024/primary/acisf25024N002_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>24787</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59340.0616</td><td>ACIS-S</td><td>HETG</td><td>39090</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4494:chandra.obs.misc</td><td>59340.0615740741</td><td>--</td><td>--</td><td>39090.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24787N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/7/24787/primary/acisf24787N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/7/24787/primary/acisf24787N001_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>24788</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59342.738</td><td>ACIS-S</td><td>HETG</td><td>25080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4495:chandra.obs.misc</td><td>59342.737974537</td><td>--</td><td>--</td><td>25080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24788N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/8/24788/primary/acisf24788N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/8/24788/primary/acisf24788N001_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>24789</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59333.3037</td><td>ACIS-S</td><td>HETG</td><td>21280</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4496:chandra.obs.misc</td><td>59333.30375</td><td>--</td><td>--</td><td>21280.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24789N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/9/24789/primary/acisf24789N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/9/24789/primary/acisf24789N001_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>24790</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59343.4834</td><td>ACIS-S</td><td>HETG</td><td>18080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4497:chandra.obs.misc</td><td>59343.4834143519</td><td>--</td><td>--</td><td>18080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24790N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/0/24790/primary/acisf24790N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/0/24790/primary/acisf24790N001_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>24791</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59326.8302</td><td>ACIS-S</td><td>HETG</td><td>26580</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4498:chandra.obs.misc</td><td>59326.8301736111</td><td>--</td><td>--</td><td>26580.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24791N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/1/24791/primary/acisf24791N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/1/24791/primary/acisf24791N001_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>24792</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59344.0923</td><td>ACIS-S</td><td>HETG</td><td>17080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4499:chandra.obs.misc</td><td>59344.0923148148</td><td>--</td><td>--</td><td>17080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24792N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/2/24792/primary/acisf24792N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/2/24792/primary/acisf24792N001_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>24793</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59335.6602</td><td>ACIS-S</td><td>HETG</td><td>17080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4500:chandra.obs.misc</td><td>59335.6602083333</td><td>--</td><td>--</td><td>17080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24793N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/3/24793/primary/acisf24793N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/3/24793/primary/acisf24793N001_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>24794</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59321.5437</td><td>ACIS-S</td><td>HETG</td><td>38090</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4501:chandra.obs.misc</td><td>59321.5437152778</td><td>--</td><td>--</td><td>38090.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24794N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/4/24794/primary/acisf24794N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/4/24794/primary/acisf24794N001_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>24795</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59328.2974</td><td>ACIS-S</td><td>HETG</td><td>27880</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4502:chandra.obs.misc</td><td>59328.2974189815</td><td>--</td><td>--</td><td>27880.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf24795N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/5/24795/primary/acisf24795N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/5/24795/primary/acisf24795N001_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>25015</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59336.1988</td><td>ACIS-S</td><td>HETG</td><td>17080</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4503:chandra.obs.misc</td><td>59336.1987962963</td><td>--</td><td>--</td><td>17080.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf25015N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/5/25015/primary/acisf25015N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/5/25015/primary/acisf25015N001_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>25036</td><td>archived</td><td>NGC 1365</td><td>53.40192</td><td>-36.14066</td><td>59345.6677</td><td>ACIS-S</td><td>HETG</td><td>18180</td><td>GTO</td><td>Canizares</td><td>59710</td><td>4504:chandra.obs.misc</td><td>59345.6677199074</td><td>--</td><td>--</td><td>18180.0</td><td>--</td><td>53.40192</td><td>-36.14066</td><td>0.81</td><td>acisf25036N001_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/6/25036/primary/acisf25036N001_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/6/25036/primary/acisf25036N001_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>13920</td><td>archived</td><td>NGC 1365</td><td>53.40167</td><td>-36.14028</td><td>56026.4065</td><td>ACIS-S</td><td>HETG</td><td>90040</td><td>GO</td><td>Reeves</td><td>56398</td><td>4508:chandra.obs.misc</td><td>56026.4065162037</td><td>--</td><td>--</td><td>90040.0</td><td>--</td><td>53.40167</td><td>-36.14028</td><td>0.81</td><td>acisf13920N002_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/0/13920/primary/acisf13920N002_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/0/13920/primary/acisf13920N002_pha2.fits.gz&quot;}}</td></tr>
+<tr><td>13921</td><td>archived</td><td>NGC 1365</td><td>53.40167</td><td>-36.14028</td><td>56029.0272</td><td>ACIS-S</td><td>HETG</td><td>110050</td><td>GO</td><td>Reeves</td><td>56398</td><td>4509:chandra.obs.misc</td><td>56029.0271643518</td><td>--</td><td>--</td><td>110050.0</td><td>--</td><td>53.40167</td><td>-36.14028</td><td>0.81</td><td>acisf13921N002_pha2.fits</td><td>https://heasarc.gsfc.nasa.gov/FTP/chandra/data/byobsid/1/13921/primary/acisf13921N002_pha2.fits.gz</td><td>12</td><td>Spectrum-1.0</td><td>ACIS-S</td><td>HEASARC</td><td>application/fits</td><td>1.2398e-10</td><td>6.1992e-09</td><td>6.07522e-09</td><td>3.16159e-09</td><td>{&quot;aws&quot;:{&quot;bucket_name&quot;:&quot;nasa-heasarc&quot;,&quot;region&quot;:&quot;us-east-1&quot;,&quot;policy&quot;:&quot;open&quot;,&quot;key&quot;:&quot;chandra/data/byobsid/1/13921/primary/acisf13921N002_pha2.fits.gz&quot;}}</td></tr>
 </table></div></div></div>
 </div>
 <p>Hint 3: Download the data to make a spectrum. Note: you might end here and use Xspec to plot and model the spectrum. Or … you can also try to take a quick look at the spectrum.</p>
@@ -886,7 +914,7 @@ <h3>Find what Chandra spectral observations exist already for this source<a clas
 </div>
 </div>
 <div class="cell_output docutils container">
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 </div>
 </div>
 <p>This can then be analyzed in your favorite spectral analysis tool, e.g., <a class="reference external" href="https://heasarc.gsfc.nasa.gov/xanadu/xspec/python/html/index.html">pyXspec</a>.  (For the winter 2018 AAS workshop, we demonstrated this in a <a class="reference external" href="https://github.com/NASA-NAVO/aas_workshop_2018/blob/master/heasarc/heasarc_Spectral_Access.md">notebook</a> that you can consult for how to use pyXspec, but the pyXspec documentation will have more information.)</p>
@@ -901,11 +929,10 @@ <h3>Find what Chandra spectral observations exist already for this source<a clas
 
               
               
-                <footer class="bd-footer-article">
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+                <footer class="prev-next-footer d-print-none">
                   
-<div class="footer-article-items footer-article__inner">
-  
-    <div class="footer-article-item"><!-- Previous / next buttons -->
 <div class="prev-next-area">
     <a class="left-prev"
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@@ -925,10 +952,7 @@ <h3>Find what Chandra spectral observations exist already for this source<a clas
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@@ -937,6 +961,7 @@ <h3>Find what Chandra spectral observations exist already for this source<a clas
               
                 <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
 
+
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   <div class="page-toc tocsection onthispage">
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@@ -973,6 +998,7 @@ <h3>Find what Chandra spectral observations exist already for this source<a clas
   
   <div class="footer-item">
     
+
   <p class="copyright">
     
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@@ -999,8 +1025,8 @@ <h3>Find what Chandra spectral observations exist already for this source<a clas
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diff --git a/genindex.html b/genindex.html
index c8008dc..50a5075 100644
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@@ -1,9 +1,8 @@
 
-
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+<html lang="en" data-content_root="./" >
 
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@@ -14,41 +13,41 @@
   
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-    document.documentElement.dataset.theme = localStorage.getItem("theme") || "light";
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+    <script src="_static/scripts/sphinx-book-theme.js?v=887ef09a"></script>
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   <meta name="viewport" content="width=device-width, initial-scale=1"/>
-  <meta name="docsearch:language" content="None"/>
+  <meta name="docsearch:language" content="en"/>
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@@ -56,19 +55,23 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <div id="pst-skip-link" class="skip-link d-print-none"><a href="#main-content">Skip to main content</a></div>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>Back to top</button>
+
   
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+  <label class="overlay overlay-primary" for="pst-primary-sidebar-checkbox"></label>
   
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-          name="__secondary"
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+          id="pst-secondary-sidebar-checkbox"/>
+  <label class="overlay overlay-secondary" for="pst-secondary-sidebar-checkbox"></label>
   
   <div class="search-button__wrapper">
     <div class="search-button__overlay"></div>
@@ -90,13 +93,23 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
+
+  <div class="pst-async-banner-revealer d-none">
+  <aside id="bd-header-version-warning" class="d-none d-print-none" aria-label="Version warning"></aside>
+</div>
+
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar d-print-none">
+    </header>
   
+
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     <div class="bd-container__inner bd-page-width">
       
+      
+      
+        
+      
       <div class="bd-sidebar-primary bd-sidebar">
         
 
@@ -110,6 +123,9 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
+  
+    
   
 
 <a class="navbar-brand logo" href="index.html">
@@ -118,10 +134,11 @@
   
   
   
+  
     <p class="title logo__title">NASA-NAVO Workshops Notebooks</p>
   
 </a></div>
-        <div class="sidebar-primary-item"><ul class="navbar-icon-links navbar-nav"
+        <div class="sidebar-primary-item"><ul class="navbar-icon-links"
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@@ -132,11 +149,22 @@
           
           
           
-          <a href="https://github.com/NASA-NAVO/navo-workshop" title="GitHub" class="nav-link" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><span><i class="fa-brands fa-square-github"></i></span>
-            <label class="sr-only">GitHub</label></a>
+          <a href="https://github.com/NASA-NAVO/navo-workshop" title="GitHub" class="nav-link pst-navbar-icon" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><i class="fa-brands fa-square-github fa-lg" aria-hidden="true"></i>
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 </ul></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
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+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         
         <ul class="nav bd-sidenav bd-sidenav__home-link">
@@ -182,7 +210,7 @@
 
       </div>
       
-      <main id="main-content" class="bd-main">
+      <main id="main-content" class="bd-main" role="main">
         
         
 
@@ -191,14 +219,14 @@
           <div class="bd-content">
             <div class="bd-article-container">
               
-              <div class="bd-header-article">
+              <div class="bd-header-article d-print-none">
 <div class="header-article-items header-article__inner">
   
     <div class="header-article-items__start">
       
-        <div class="header-article-item"><label class="sidebar-toggle primary-toggle btn btn-sm" for="__primary" title="Toggle primary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
+        <div class="header-article-item"><button class="sidebar-toggle primary-toggle btn btn-sm" title="Toggle primary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
   <span class="fa-solid fa-bars"></span>
-</label></div>
+</button></div>
       
     </div>
   
@@ -272,20 +300,22 @@
 </button>
 
 
+
 <script>
 document.write(`
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+
 <script>
 document.write(`
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+  <button class="btn btn-sm pst-navbar-icon search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -312,7 +342,7 @@ <h1></h1>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
 
 <h1 id="index">Index</h1>
@@ -327,16 +357,12 @@ <h1 id="index">Index</h1>
 
               
               
-                <footer class="bd-footer-article">
+              
+              
+                <footer class="prev-next-footer d-print-none">
                   
-<div class="footer-article-items footer-article__inner">
-  
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-
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             </div>
@@ -359,6 +385,7 @@ <h1 id="index">Index</h1>
   
   <div class="footer-item">
     
+
   <p class="copyright">
     
       © Copyright 2018-2022, NASA-NAVO developers.
@@ -385,8 +412,8 @@ <h1 id="index">Index</h1>
   </div>
   
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-  <script src="_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script>
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diff --git a/index.html b/index.html
index 18dba97..24ed593 100644
--- a/index.html
+++ b/index.html
@@ -1,13 +1,12 @@
 
-
 <!DOCTYPE html>
 
 
-<html >
+<html lang="en" data-content_root="./" >
 
   <head>
     <meta charset="utf-8" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     <title>NASA-NAVO notebooks &#8212; NASA-NAVO Workshops Notebooks</title>
   
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   <script data-cfasync="false">
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-    document.documentElement.dataset.theme = localStorage.getItem("theme") || "light";
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+          id="pst-secondary-sidebar-checkbox"/>
+  <label class="overlay overlay-secondary" for="pst-secondary-sidebar-checkbox"></label>
   
   <div class="search-button__wrapper">
     <div class="search-button__overlay"></div>
@@ -92,13 +95,23 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
+
+  <div class="pst-async-banner-revealer d-none">
+  <aside id="bd-header-version-warning" class="d-none d-print-none" aria-label="Version warning"></aside>
+</div>
+
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar d-print-none">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
+        
+      
       <div class="bd-sidebar-primary bd-sidebar">
         
 
@@ -112,6 +125,9 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
+  
+    
   
 
 <a class="navbar-brand logo" href="#">
@@ -120,10 +136,11 @@
   
   
   
+  
     <p class="title logo__title">NASA-NAVO Workshops Notebooks</p>
   
 </a></div>
-        <div class="sidebar-primary-item"><ul class="navbar-icon-links navbar-nav"
+        <div class="sidebar-primary-item"><ul class="navbar-icon-links"
     aria-label="Icon Links">
         <li class="nav-item">
           
@@ -134,11 +151,22 @@
           
           
           
-          <a href="https://github.com/NASA-NAVO/navo-workshop" title="GitHub" class="nav-link" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><span><i class="fa-brands fa-square-github"></i></span>
-            <label class="sr-only">GitHub</label></a>
+          <a href="https://github.com/NASA-NAVO/navo-workshop" title="GitHub" class="nav-link pst-navbar-icon" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><i class="fa-brands fa-square-github fa-lg" aria-hidden="true"></i>
+            <span class="sr-only">GitHub</span></a>
         </li>
 </ul></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         
         <ul class="nav bd-sidenav bd-sidenav__home-link">
@@ -184,7 +212,7 @@
 
       </div>
       
-      <main id="main-content" class="bd-main">
+      <main id="main-content" class="bd-main" role="main">
         
         
 
@@ -193,14 +221,14 @@
           <div class="bd-content">
             <div class="bd-article-container">
               
-              <div class="bd-header-article">
+              <div class="bd-header-article d-print-none">
 <div class="header-article-items header-article__inner">
   
     <div class="header-article-items__start">
       
-        <div class="header-article-item"><label class="sidebar-toggle primary-toggle btn btn-sm" for="__primary" title="Toggle primary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
+        <div class="header-article-item"><button class="sidebar-toggle primary-toggle btn btn-sm" title="Toggle primary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
   <span class="fa-solid fa-bars"></span>
-</label></div>
+</button></div>
       
     </div>
   
@@ -339,26 +367,28 @@
 </button>
 
 
+
 <script>
 document.write(`
-  <button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <span class="theme-switch" data-mode="light"><i class="fa-solid fa-sun"></i></span>
-    <span class="theme-switch" data-mode="dark"><i class="fa-solid fa-moon"></i></span>
-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm nav-link pst-navbar-icon theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="theme-switch fa-solid fa-sun fa-lg" data-mode="light"></i>
+    <i class="theme-switch fa-solid fa-moon fa-lg" data-mode="dark"></i>
+    <i class="theme-switch fa-solid fa-circle-half-stroke fa-lg" data-mode="auto"></i>
   </button>
 `);
 </script>
 
+
 <script>
 document.write(`
-  <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <i class="fa-solid fa-magnifying-glass"></i>
+  <button class="btn btn-sm pst-navbar-icon search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
-<label class="sidebar-toggle secondary-toggle btn btn-sm" for="__secondary"title="Toggle secondary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
+<button class="sidebar-toggle secondary-toggle btn btn-sm" title="Toggle secondary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
     <span class="fa-solid fa-list"></span>
-</label>
+</button>
 </div></div>
       
     </div>
@@ -392,12 +422,12 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section id="nasa-navo-notebooks">
-<h1>NASA-NAVO notebooks<a class="headerlink" href="#nasa-navo-notebooks" title="Permalink to this headline">#</a></h1>
+<h1>NASA-NAVO notebooks<a class="headerlink" href="#nasa-navo-notebooks" title="Link to this heading">#</a></h1>
 <section id="reference-notebooks">
-<h2>Reference Notebooks<a class="headerlink" href="#reference-notebooks" title="Permalink to this headline">#</a></h2>
+<h2>Reference Notebooks<a class="headerlink" href="#reference-notebooks" title="Link to this heading">#</a></h2>
 <div class="toctree-wrapper compound">
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="content/reference_notebooks/basic_reference.html">Basic Reference</a><ul>
@@ -438,7 +468,7 @@ <h2>Reference Notebooks<a class="headerlink" href="#reference-notebooks" title="
 </div>
 </section>
 <section id="use-case-exercises">
-<h2>Use Case Exercises<a class="headerlink" href="#use-case-exercises" title="Permalink to this headline">#</a></h2>
+<h2>Use Case Exercises<a class="headerlink" href="#use-case-exercises" title="Link to this heading">#</a></h2>
 <div class="toctree-wrapper compound">
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="content/use_case_notebooks/candidate_list_exercise.html">Candidate List Exercise</a><ul>
@@ -476,7 +506,7 @@ <h2>Use Case Exercises<a class="headerlink" href="#use-case-exercises" title="Pe
 </div>
 </section>
 <section id="use-case-solutions">
-<h2>Use Case Solutions<a class="headerlink" href="#use-case-solutions" title="Permalink to this headline">#</a></h2>
+<h2>Use Case Solutions<a class="headerlink" href="#use-case-solutions" title="Link to this heading">#</a></h2>
 <div class="toctree-wrapper compound">
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="content/use_case_notebooks/candidate_list_solution.html">Candidate List Solution</a><ul>
@@ -514,7 +544,7 @@ <h2>Use Case Solutions<a class="headerlink" href="#use-case-solutions" title="Pe
 </div>
 </section>
 <section id="additional-resources">
-<h2>Additional Resources<a class="headerlink" href="#additional-resources" title="Permalink to this headline">#</a></h2>
+<h2>Additional Resources<a class="headerlink" href="#additional-resources" title="Link to this heading">#</a></h2>
 <div class="toctree-wrapper compound">
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="00_SETUP.html">Configuring the Workshop Environment</a></li>
@@ -530,11 +560,10 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
 
               
               
-                <footer class="bd-footer-article">
+              
+              
+                <footer class="prev-next-footer d-print-none">
                   
-<div class="footer-article-items footer-article__inner">
-  
-    <div class="footer-article-item"><!-- Previous / next buttons -->
 <div class="prev-next-area">
     <a class="right-next"
        href="content/reference_notebooks/basic_reference.html"
@@ -545,10 +574,7 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
       </div>
       <i class="fa-solid fa-angle-right"></i>
     </a>
-</div></div>
-  
 </div>
-
                 </footer>
               
             </div>
@@ -557,6 +583,7 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
               
                 <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
 
+
   <div class="sidebar-secondary-item">
   <div class="page-toc tocsection onthispage">
     <i class="fa-solid fa-list"></i> Contents
@@ -588,6 +615,7 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
   
   <div class="footer-item">
     
+
   <p class="copyright">
     
       © Copyright 2018-2022, NASA-NAVO developers.
@@ -614,8 +642,8 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script>
-<script src="_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52"></script>
+  <script src="_static/scripts/bootstrap.js?digest=dfe6caa3a7d634c4db9b"></script>
+<script src="_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/objects.inv b/objects.inv
index 77073f3..2a165e8 100644
Binary files a/objects.inv and b/objects.inv differ
diff --git a/search.html b/search.html
index 04cce26..99b930f 100644
--- a/search.html
+++ b/search.html
@@ -1,9 +1,8 @@
 
-
 <!DOCTYPE html>
 
 
-<html >
+<html lang="en" data-content_root="./" >
 
   <head>
     <meta charset="utf-8" />
@@ -13,36 +12,36 @@
   
   <script data-cfasync="false">
     document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
-    document.documentElement.dataset.theme = localStorage.getItem("theme") || "light";
+    document.documentElement.dataset.theme = localStorage.getItem("theme") || "";
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="_static/styles/theme.css?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="_static/styles/bootstrap.css?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="_static/styles/pydata-sphinx-theme.css?digest=e353d410970836974a52" rel="stylesheet" />
+  <link href="_static/styles/theme.css?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
+<link href="_static/styles/bootstrap.css?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
+<link href="_static/styles/pydata-sphinx-theme.css?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
 
   
-  <link href="_static/vendor/fontawesome/6.1.2/css/all.min.css?digest=e353d410970836974a52" rel="stylesheet" />
-  <link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.1.2/webfonts/fa-solid-900.woff2" />
-<link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.1.2/webfonts/fa-brands-400.woff2" />
-<link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.woff2" />
+  <link href="_static/vendor/fontawesome/6.5.2/css/all.min.css?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.2/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.2/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.2/webfonts/fa-regular-400.woff2" />
 
-    <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
-    <link rel="stylesheet" href="_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
+    <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=a746c00c" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/sphinx-book-theme.css?v=a3416100" />
     <link rel="stylesheet" type="text/css" href="_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
-    <link rel="stylesheet" type="text/css" href="_static/copybutton.css" />
+    <link rel="stylesheet" type="text/css" href="_static/copybutton.css?v=76b2166b" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="_static/scripts/bootstrap.js?digest=e353d410970836974a52" />
-<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52" />
-
-    <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/doctools.js"></script>
-    <script src="_static/clipboard.min.js"></script>
-    <script src="_static/copybutton.js"></script>
-    <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
+  <link rel="preload" as="script" href="_static/scripts/bootstrap.js?digest=dfe6caa3a7d634c4db9b" />
+<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
+  <script src="_static/vendor/fontawesome/6.5.2/js/all.min.js?digest=dfe6caa3a7d634c4db9b"></script>
+
+    <script src="_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="_static/doctools.js?v=9a2dae69"></script>
+    <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="_static/copybutton.js?v=f281be69"></script>
+    <script src="_static/scripts/sphinx-book-theme.js?v=887ef09a"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = 'search';</script>
   <script src="_static/searchtools.js"></script>
   <script src="_static/language_data.js"></script>
@@ -50,7 +49,7 @@
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="#" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
-  <meta name="docsearch:language" content="None"/>
+  <meta name="docsearch:language" content="en"/>
   </head>
   
   
@@ -58,19 +57,23 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <div id="pst-skip-link" class="skip-link d-print-none"><a href="#main-content">Skip to main content</a></div>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>Back to top</button>
+
   
   <input type="checkbox"
           class="sidebar-toggle"
-          name="__primary"
-          id="__primary"/>
-  <label class="overlay overlay-primary" for="__primary"></label>
+          id="pst-primary-sidebar-checkbox"/>
+  <label class="overlay overlay-primary" for="pst-primary-sidebar-checkbox"></label>
   
   <input type="checkbox"
           class="sidebar-toggle"
-          name="__secondary"
-          id="__secondary"/>
-  <label class="overlay overlay-secondary" for="__secondary"></label>
+          id="pst-secondary-sidebar-checkbox"/>
+  <label class="overlay overlay-secondary" for="pst-secondary-sidebar-checkbox"></label>
   
   <div class="search-button__wrapper">
     <div class="search-button__overlay"></div>
@@ -92,13 +95,23 @@
   <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
 </form></div>
   </div>
+
+  <div class="pst-async-banner-revealer d-none">
+  <aside id="bd-header-version-warning" class="d-none d-print-none" aria-label="Version warning"></aside>
+</div>
+
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar d-print-none">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
+        
+      
       <div class="bd-sidebar-primary bd-sidebar">
         
 
@@ -112,6 +125,9 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
+  
+    
   
 
 <a class="navbar-brand logo" href="index.html">
@@ -120,10 +136,11 @@
   
   
   
+  
     <p class="title logo__title">NASA-NAVO Workshops Notebooks</p>
   
 </a></div>
-        <div class="sidebar-primary-item"><ul class="navbar-icon-links navbar-nav"
+        <div class="sidebar-primary-item"><ul class="navbar-icon-links"
     aria-label="Icon Links">
         <li class="nav-item">
           
@@ -134,11 +151,22 @@
           
           
           
-          <a href="https://github.com/NASA-NAVO/navo-workshop" title="GitHub" class="nav-link" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><span><i class="fa-brands fa-square-github"></i></span>
-            <label class="sr-only">GitHub</label></a>
+          <a href="https://github.com/NASA-NAVO/navo-workshop" title="GitHub" class="nav-link pst-navbar-icon" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><i class="fa-brands fa-square-github fa-lg" aria-hidden="true"></i>
+            <span class="sr-only">GitHub</span></a>
         </li>
 </ul></div>
-        <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
     <div class="bd-toc-item navbar-nav active">
         
         <ul class="nav bd-sidenav bd-sidenav__home-link">
@@ -184,7 +212,7 @@
 
       </div>
       
-      <main id="main-content" class="bd-main">
+      <main id="main-content" class="bd-main" role="main">
         
         
 
@@ -193,14 +221,14 @@
           <div class="bd-content">
             <div class="bd-article-container">
               
-              <div class="bd-header-article">
+              <div class="bd-header-article d-print-none">
 <div class="header-article-items header-article__inner">
   
     <div class="header-article-items__start">
       
-        <div class="header-article-item"><label class="sidebar-toggle primary-toggle btn btn-sm" for="__primary" title="Toggle primary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
+        <div class="header-article-item"><button class="sidebar-toggle primary-toggle btn btn-sm" title="Toggle primary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
   <span class="fa-solid fa-bars"></span>
-</label></div>
+</button></div>
       
     </div>
   
@@ -274,20 +302,22 @@
 </button>
 
 
+
 <script>
 document.write(`
-  <button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <span class="theme-switch" data-mode="light"><i class="fa-solid fa-sun"></i></span>
-    <span class="theme-switch" data-mode="dark"><i class="fa-solid fa-moon"></i></span>
-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm nav-link pst-navbar-icon theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="theme-switch fa-solid fa-sun fa-lg" data-mode="light"></i>
+    <i class="theme-switch fa-solid fa-moon fa-lg" data-mode="dark"></i>
+    <i class="theme-switch fa-solid fa-circle-half-stroke fa-lg" data-mode="auto"></i>
   </button>
 `);
 </script>
 
+
 <script>
 document.write(`
-  <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <i class="fa-solid fa-magnifying-glass"></i>
+  <button class="btn btn-sm pst-navbar-icon search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -339,16 +369,12 @@ <h1>Search</h1>
 
               
               
-                <footer class="bd-footer-article">
+              
+              
+                <footer class="prev-next-footer d-print-none">
                   
-<div class="footer-article-items footer-article__inner">
-  
-    <div class="footer-article-item"><!-- Previous / next buttons -->
 <div class="prev-next-area">
-</div></div>
-  
 </div>
-
                 </footer>
               
             </div>
@@ -371,6 +397,7 @@ <h1>Search</h1>
   
   <div class="footer-item">
     
+
   <p class="copyright">
     
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Plot a cutout of the AllWISE image, centered on your position": [[8, "plot-a-cutout-of-the-allwise-image-centered-on-your-position"], [9, "plot-a-cutout-of-the-allwise-image-centered-on-your-position"]], "13. Try visualizing a cutout of a GALEX image that covers your position": [[8, "try-visualizing-a-cutout-of-a-galex-image-that-covers-your-position"], [9, "try-visualizing-a-cutout-of-a-galex-image-that-covers-your-position"]], "14. Try visualizing a cutout of an SDSS image that covers your position": [[8, "try-visualizing-a-cutout-of-an-sdss-image-that-covers-your-position"], [9, "try-visualizing-a-cutout-of-an-sdss-image-that-covers-your-position"]], "15. Try looping over all positions and plotting multiwavelength cutouts": [[8, "try-looping-over-all-positions-and-plotting-multiwavelength-cutouts"], [9, "try-looping-over-all-positions-and-plotting-multiwavelength-cutouts"]], "2. Search NED for objects in this paper": [[8, "search-ned-for-objects-in-this-paper"], [9, "search-ned-for-objects-in-this-paper"]], "2. Table Access Protocol queries": [[3, "table-access-protocol-queries"]], "2. Update conda version": [[0, "update-conda-version"]], "2. Using SIA to retrieve an image": [[4, "using-sia-to-retrieve-an-image"]], "2. 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