From 30c09b1bcf211782e835abf0985187864201a7d7 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 13:29:06 -0700 Subject: [PATCH 01/84] concise print statements --- .../quality_control/src/quality_control.py | 34 +++++++++---------- 1 file changed, 17 insertions(+), 17 deletions(-) diff --git a/modules/quality_control/src/quality_control.py b/modules/quality_control/src/quality_control.py index 4af516776..e74a90af4 100644 --- a/modules/quality_control/src/quality_control.py +++ b/modules/quality_control/src/quality_control.py @@ -173,7 +173,7 @@ def __init__(self, logger=None): name1 = 'not_junk_check' self.names.append(name1) - self.descriptions[name1] = 'Check if file is not in list of junk files.' + self.descriptions[name1] = 'File is not in list of junk files.' self.kpf_data_levels[name1] = ['L0', '2D', 'L1', 'L2'] self.data_types[name1] = 'int' self.spectrum_types[name1] = ['all', ] # Need trailing comma to make list hashable @@ -183,7 +183,7 @@ def __init__(self, logger=None): name2 = 'monotonic_wavelength_solution_check' self.names.append(name2) - self.descriptions[name2] = 'Check if wavelength solution is monotonic.' + self.descriptions[name2] = 'Wavelength solution is monotonic.' self.kpf_data_levels[name2] = ['L1'] self.data_types[name2] = 'int' self.spectrum_types[name2] = ['all', ] @@ -194,7 +194,7 @@ def __init__(self, logger=None): name3 = 'L0_data_products_check' self.names.append(name3) self.kpf_data_levels[name3] = ['L0'] - self.descriptions[name3] = 'Check if expected L0 data products are present with non-zero array sizes.' + self.descriptions[name3] = 'Expected L0 data products present with non-zero array sizes.' self.data_types[name3] = 'int' self.spectrum_types[name3] = ['all', ] self.fits_keywords[name3] = 'DATAPRL0' @@ -204,7 +204,7 @@ def __init__(self, logger=None): name4 = 'L0_header_keywords_present_check' self.names.append(name4) self.kpf_data_levels[name4] = ['L0'] - self.descriptions[name4] = 'Check if expected L0 header keywords are present.' + self.descriptions[name4] = 'Expected L0 header keywords present.' self.data_types[name4] = 'int' self.spectrum_types[name4] = ['all', ] self.fits_keywords[name4] = 'KWRDPRL0' @@ -214,7 +214,7 @@ def __init__(self, logger=None): name5 = 'L0_datetime_checks' self.names.append(name5) self.kpf_data_levels[name5] = ['L0'] - self.descriptions[name5] = 'Check for timing consistency in L0 header keywords and Exp Meter table.' + self.descriptions[name5] = 'Timing consistency in L0 header keywords and Exp Meter table.' self.data_types[name5] = 'int' self.spectrum_types[name5] = ['all', ] self.fits_keywords[name5] = 'TIMCHKL0' @@ -224,7 +224,7 @@ def __init__(self, logger=None): name5b = 'L2_datetime_checks' self.names.append(name5b) self.kpf_data_levels[name5b] = ['L2'] - self.descriptions[name5b] = 'Check for timing consistency in L2 files.' + self.descriptions[name5b] = 'Timing consistency in L2 files.' self.data_types[name5b] = 'int' self.spectrum_types[name5b] = ['all', ] self.fits_keywords[name5b] = 'TIMCHKL2' @@ -234,7 +234,7 @@ def __init__(self, logger=None): name6 = 'exposure_meter_not_saturated_check' self.names.append(name6) self.kpf_data_levels[name6] = ['L0'] - self.descriptions[name6] = 'Check if 2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.' + self.descriptions[name6] = '2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.' self.data_types[name6] = 'int' self.spectrum_types[name6] = ['all', ] self.fits_keywords[name6] = 'EMSAT' @@ -244,7 +244,7 @@ def __init__(self, logger=None): name7 = 'exposure_meter_flux_not_negative_check' self.names.append(name7) self.kpf_data_levels[name7] = ['L0'] - self.descriptions[name7] = 'Check for negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.' + self.descriptions[name7] = 'Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.' self.data_types[name7] = 'int' self.spectrum_types[name7] = ['all', ] self.fits_keywords[name7] = 'EMNEG' @@ -254,7 +254,7 @@ def __init__(self, logger=None): name8 = 'D2_lfc_flux_check' self.names.append(name8) self.kpf_data_levels[name8] = ['2D'] - self.descriptions[name8] = 'Check if an LFC frame that goes into a master has sufficient flux' + self.descriptions[name8] = 'LFC frame that goes into a master has sufficient flux' self.data_types[name8] = 'int' self.spectrum_types[name8] = ['LFC', ] self.fits_keywords[name8] = 'LFC2DFOK' @@ -264,7 +264,7 @@ def __init__(self, logger=None): name9 = 'data_2D_bias_low_flux_check' self.names.append(name9) self.kpf_data_levels[name9] = ['2D'] - self.descriptions[name9] = 'Check if flux is low in bias exposure.' + self.descriptions[name9] = 'Flux is low in bias exposure.' self.data_types[name9] = 'int' self.spectrum_types[name9] = ['Bias', ] self.fits_keywords[name9] = 'LOWBIAS' @@ -274,7 +274,7 @@ def __init__(self, logger=None): name10 = 'data_2D_dark_low_flux_check' self.names.append(name10) self.kpf_data_levels[name10] = ['2D'] - self.descriptions[name10] = 'Check if flux is low in dark exposure.' + self.descriptions[name10] = 'Flux is low in dark exposure.' self.data_types[name10] = 'int' self.spectrum_types[name10] = ['Dark', ] self.fits_keywords[name10] = 'LOWDARK' @@ -286,7 +286,7 @@ def __init__(self, logger=None): self.kpf_data_levels[name11] = ['L1'] self.data_types[name11] = 'int' self.spectrum_types[name11] = ['all', ] - self.descriptions[name11] = 'Check if red/green data are present in L1 with expected shapes.' + self.descriptions[name11] = 'Red/Green data present in L1 with expected shapes.' self.fits_keywords[name11] = 'DATAPRL1' self.fits_comments[name11] = 'QC: L1 red and green data present check' self.db_columns[name11] = None @@ -294,7 +294,7 @@ def __init__(self, logger=None): name12 = 'data_L1_CaHK_check' self.names.append(name12) self.kpf_data_levels[name12] = ['L1'] - self.descriptions[name12] = 'Check if CaHK data is present in L1 with expected shape.' + self.descriptions[name12] = 'CaHK data present in L1 with expected shape.' self.data_types[name12] = 'int' self.spectrum_types[name12] = ['all', ] self.fits_keywords[name12] = 'CaHKPRL1' @@ -304,7 +304,7 @@ def __init__(self, logger=None): name13 = 'data_L2_check' self.names.append(name13) self.kpf_data_levels[name13] = ['L2'] - self.descriptions[name13] = 'Check if all data are present in L2.' + self.descriptions[name13] = 'All data present in L2.' self.data_types[name13] = 'int' self.spectrum_types[name13] = ['all', ] self.fits_keywords[name13] = 'DATAPRL2' @@ -314,7 +314,7 @@ def __init__(self, logger=None): name14 = 'data_2D_CaHK_check' self.names.append(name14) self.kpf_data_levels[name14] = ['2D'] - self.descriptions[name14] = 'Check if CaHK CCD data is present with expected array sizes.' + self.descriptions[name14] = 'CaHK CCD data present with expected array sizes.' self.data_types[name14] = 'int' self.spectrum_types[name14] = ['all', ] self.fits_keywords[name14] = 'CaHKPR2D' @@ -324,7 +324,7 @@ def __init__(self, logger=None): name15 = 'data_2D_red_green_check' self.names.append(name15) self.kpf_data_levels[name15] = ['2D'] - self.descriptions[name15] = 'Check if red/green CCD data is present with expected array sizes.' + self.descriptions[name15] = 'Red/Green CCD data present with expected array sizes.' self.data_types[name15] = 'int' self.spectrum_types[name15] = ['all', ] self.fits_keywords[name15] = 'DATAPR2D' @@ -334,7 +334,7 @@ def __init__(self, logger=None): name16 = 'add_kpfera' self.names.append(name16) self.kpf_data_levels[name16] = ['L0', '2D', 'L1', 'L2'] - self.descriptions[name16] = 'Not a QC test. The QC module is used to add the KPFERA keyword to all files.' + self.descriptions[name16] = 'Not a QC test; used to add the KPFERA keyword to header.' self.data_types[name16] = 'float' self.spectrum_types[name16] = ['all', ] self.fits_keywords[name16] = 'KPFERA' From f236a79e61fa86212464214cf0e98ba456676ac1 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 13:39:37 -0700 Subject: [PATCH 02/84] concise print statements --- modules/quality_control/src/quality_control.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/modules/quality_control/src/quality_control.py b/modules/quality_control/src/quality_control.py index e74a90af4..d56f37338 100644 --- a/modules/quality_control/src/quality_control.py +++ b/modules/quality_control/src/quality_control.py @@ -214,7 +214,7 @@ def __init__(self, logger=None): name5 = 'L0_datetime_checks' self.names.append(name5) self.kpf_data_levels[name5] = ['L0'] - self.descriptions[name5] = 'Timing consistency in L0 header keywords and Exp Meter table.' + self.descriptions[name5] = 'Timing consistency in L0 header keywords and ExpMeter table.' self.data_types[name5] = 'int' self.spectrum_types[name5] = ['all', ] self.fits_keywords[name5] = 'TIMCHKL0' @@ -234,7 +234,7 @@ def __init__(self, logger=None): name6 = 'exposure_meter_not_saturated_check' self.names.append(name6) self.kpf_data_levels[name6] = ['L0'] - self.descriptions[name6] = '2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.' + self.descriptions[name6] = '2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.' self.data_types[name6] = 'int' self.spectrum_types[name6] = ['all', ] self.fits_keywords[name6] = 'EMSAT' From fe83a168ddc99b94423911fef8d761adac7fc64a Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 13:40:23 -0700 Subject: [PATCH 03/84] finetuned wording --- .../KPF_Data_Tutorial_Quality_Control.ipynb | 737 ++++++++++-------- 1 file changed, 406 insertions(+), 331 deletions(-) diff --git a/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb b/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb index 87c704798..7f879566d 100644 --- a/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb +++ b/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb @@ -5,20 +5,8 @@ "id": "635b80ed", "metadata": {}, "source": [ - "# Import Packages" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "ed65195a", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "from modules.Utils.kpf_parse import get_kpf_data, HeaderParse\n", - "import modules.quality_control.src.quality_control as qc\n", - "from modules.quality_control.src.quality_control import test_all_QCs" + "# Quality Control\n", + "The KPF DRP has several Quality Control (QC) methods that can be run on the L0, 2D, L1, and 2D objects. The QC tests are run during normal processing in the main recipe. The results of these QC checks are added to the primary headers of kpf objects, which are written to 2D, L1, and L2 FITS files (but not the L0 files, which with rare exceptions are not modified after data collection at WMKO). The QC methods are defined in the `QCDefinitions` class in `modules/quality_control/src/quality_control.py`." ] }, { @@ -27,12 +15,13 @@ "metadata": {}, "source": [ "# List QC Methods\n", - "The method `list_qc_metrics()` lists the available QC methods that can be applied to the different data levels." + "\n", + "The FITS header keywords produced by QC tests are defined in KPF Data Format. The `QCDefinitions.list_qc_metrics ()` method produces a list of QC tests and their characteristics (including the primary header keywords), as shown below. Note that some QC tests are applied to multiple KPF data levels and spectrum types." ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "id": "b5877a3c", "metadata": {}, "outputs": [ @@ -42,7 +31,7 @@ "text": [ "\u001b[1mQuality Control tests for L0:\u001b[0m\n", " \u001b[1mQC Name:\u001b[0m not_junk_check\n", - " \u001b[1mDescription:\u001b[0m Check if file is not in list of junk files.\n", + " \u001b[1mDescription:\u001b[0m File is not in list of junk files.\n", " \u001b[1mData levels:\u001b[0m ['L0', '2D', 'L1', 'L2']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -51,7 +40,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m L0_data_products_check\n", - " \u001b[1mDescription:\u001b[0m Check if expected L0 data products are present with non-zero array sizes.\n", + " \u001b[1mDescription:\u001b[0m Expected L0 data products present with non-zero array sizes.\n", " \u001b[1mData levels:\u001b[0m ['L0']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -60,7 +49,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m L0_header_keywords_present_check\n", - " \u001b[1mDescription:\u001b[0m Check if expected L0 header keywords are present.\n", + " \u001b[1mDescription:\u001b[0m Expected L0 header keywords present.\n", " \u001b[1mData levels:\u001b[0m ['L0']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -69,7 +58,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m L0_datetime_checks\n", - " \u001b[1mDescription:\u001b[0m Check for timing consistency in L0 header keywords and Exp Meter table.\n", + " \u001b[1mDescription:\u001b[0m Timing consistency in L0 header keywords and Exp Meter table.\n", " \u001b[1mData levels:\u001b[0m ['L0']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -78,7 +67,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m exposure_meter_not_saturated_check\n", - " \u001b[1mDescription:\u001b[0m Check if 2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.\n", + " \u001b[1mDescription:\u001b[0m 2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.\n", " \u001b[1mData levels:\u001b[0m ['L0']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -87,7 +76,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m exposure_meter_flux_not_negative_check\n", - " \u001b[1mDescription:\u001b[0m Check for negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.\n", + " \u001b[1mDescription:\u001b[0m Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.\n", " \u001b[1mData levels:\u001b[0m ['L0']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -96,7 +85,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m add_kpfera\n", - " \u001b[1mDescription:\u001b[0m Not a QC test. The QC module is used to add the KPFERA keyword to all files.\n", + " \u001b[1mDescription:\u001b[0m Not a QC test; used to add the KPFERA keyword to header.\n", " \u001b[1mData levels:\u001b[0m ['L0', '2D', 'L1', 'L2']\n", " \u001b[1mData type:\u001b[0m float\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -106,7 +95,7 @@ "\n", "\u001b[1mQuality Control tests for 2D:\u001b[0m\n", " \u001b[1mQC Name:\u001b[0m not_junk_check\n", - " \u001b[1mDescription:\u001b[0m Check if file is not in list of junk files.\n", + " \u001b[1mDescription:\u001b[0m File is not in list of junk files.\n", " \u001b[1mData levels:\u001b[0m ['L0', '2D', 'L1', 'L2']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -115,7 +104,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m D2_lfc_flux_check\n", - " \u001b[1mDescription:\u001b[0m Check if an LFC frame that goes into a master has sufficient flux\n", + " \u001b[1mDescription:\u001b[0m LFC frame that goes into a master has sufficient flux\n", " \u001b[1mData levels:\u001b[0m ['2D']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['LFC']\n", @@ -124,7 +113,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m data_2D_bias_low_flux_check\n", - " \u001b[1mDescription:\u001b[0m Check if flux is low in bias exposure.\n", + " \u001b[1mDescription:\u001b[0m Flux is low in bias exposure.\n", " \u001b[1mData levels:\u001b[0m ['2D']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['Bias']\n", @@ -133,7 +122,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m data_2D_dark_low_flux_check\n", - " \u001b[1mDescription:\u001b[0m Check if flux is low in dark exposure.\n", + " \u001b[1mDescription:\u001b[0m Flux is low in dark exposure.\n", " \u001b[1mData levels:\u001b[0m ['2D']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['Dark']\n", @@ -142,7 +131,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m data_2D_CaHK_check\n", - " \u001b[1mDescription:\u001b[0m Check if CaHK CCD data is present with expected array sizes.\n", + " \u001b[1mDescription:\u001b[0m CaHK CCD data present with expected array sizes.\n", " \u001b[1mData levels:\u001b[0m ['2D']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -151,7 +140,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m data_2D_red_green_check\n", - " \u001b[1mDescription:\u001b[0m Check if red/green CCD data is present with expected array sizes.\n", + " \u001b[1mDescription:\u001b[0m Red/Green CCD data present with expected array sizes.\n", " \u001b[1mData levels:\u001b[0m ['2D']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -160,7 +149,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m add_kpfera\n", - " \u001b[1mDescription:\u001b[0m Not a QC test. The QC module is used to add the KPFERA keyword to all files.\n", + " \u001b[1mDescription:\u001b[0m Not a QC test; used to add the KPFERA keyword to header.\n", " \u001b[1mData levels:\u001b[0m ['L0', '2D', 'L1', 'L2']\n", " \u001b[1mData type:\u001b[0m float\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -170,7 +159,7 @@ "\n", "\u001b[1mQuality Control tests for L1:\u001b[0m\n", " \u001b[1mQC Name:\u001b[0m not_junk_check\n", - " \u001b[1mDescription:\u001b[0m Check if file is not in list of junk files.\n", + " \u001b[1mDescription:\u001b[0m File is not in list of junk files.\n", " \u001b[1mData levels:\u001b[0m ['L0', '2D', 'L1', 'L2']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -179,7 +168,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m monotonic_wavelength_solution_check\n", - " \u001b[1mDescription:\u001b[0m Check if wavelength solution is monotonic.\n", + " \u001b[1mDescription:\u001b[0m Wavelength solution is monotonic.\n", " \u001b[1mData levels:\u001b[0m ['L1']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -188,7 +177,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m data_L1_red_green_check\n", - " \u001b[1mDescription:\u001b[0m Check if red/green data are present in L1 with expected shapes.\n", + " \u001b[1mDescription:\u001b[0m Red/Green data present in L1 with expected shapes.\n", " \u001b[1mData levels:\u001b[0m ['L1']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -197,7 +186,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m data_L1_CaHK_check\n", - " \u001b[1mDescription:\u001b[0m Check if CaHK data is present in L1 with expected shape.\n", + " \u001b[1mDescription:\u001b[0m CaHK data present in L1 with expected shape.\n", " \u001b[1mData levels:\u001b[0m ['L1']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -206,7 +195,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m add_kpfera\n", - " \u001b[1mDescription:\u001b[0m Not a QC test. The QC module is used to add the KPFERA keyword to all files.\n", + " \u001b[1mDescription:\u001b[0m Not a QC test; used to add the KPFERA keyword to header.\n", " \u001b[1mData levels:\u001b[0m ['L0', '2D', 'L1', 'L2']\n", " \u001b[1mData type:\u001b[0m float\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -216,7 +205,7 @@ "\n", "\u001b[1mQuality Control tests for L2:\u001b[0m\n", " \u001b[1mQC Name:\u001b[0m not_junk_check\n", - " \u001b[1mDescription:\u001b[0m Check if file is not in list of junk files.\n", + " \u001b[1mDescription:\u001b[0m File is not in list of junk files.\n", " \u001b[1mData levels:\u001b[0m ['L0', '2D', 'L1', 'L2']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -225,7 +214,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m L2_datetime_checks\n", - " \u001b[1mDescription:\u001b[0m Check for timing consistency in L2 files.\n", + " \u001b[1mDescription:\u001b[0m Timing consistency in L2 files.\n", " \u001b[1mData levels:\u001b[0m ['L2']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -234,7 +223,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m data_L2_check\n", - " \u001b[1mDescription:\u001b[0m Check if all data are present in L2.\n", + " \u001b[1mDescription:\u001b[0m All data present in L2.\n", " \u001b[1mData levels:\u001b[0m ['L2']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -243,37 +232,100 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m add_kpfera\n", - " \u001b[1mDescription:\u001b[0m Not a QC test. The QC module is used to add the KPFERA keyword to all files.\n", + " \u001b[1mDescription:\u001b[0m Not a QC test; used to add the KPFERA keyword to header.\n", " \u001b[1mData levels:\u001b[0m ['L0', '2D', 'L1', 'L2']\n", " \u001b[1mData type:\u001b[0m float\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", " \u001b[1mKeyword:\u001b[0m KPFERA\n", " \u001b[1mComment:\u001b[0m Current era of KPF observations\n", " \u001b[1mDatabase column:\u001b[0m None\n", - "\n", - "None\n" + "\n" ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ + "import os\n", + "from modules.Utils.kpf_parse import get_kpf_data, HeaderParse\n", + "import modules.quality_control.src.quality_control as qc\n", + "from modules.quality_control.src.quality_control import test_all_QCs\n", + "from IPython.core.display import display, HTML\n", + "\n", "myQCdef = qc.QCDefinitions()\n", "QC_lists = myQCdef.list_qc_metrics()\n", - "print(QC_lists)" + "\n", + "# prevent scrolling in the resulting Notebook cell\n", + "display(HTML(\"\"))" ] }, { "cell_type": "markdown", - "id": "9d28be81", + "id": "386eef02", "metadata": {}, "source": [ - "# Run all QC tests on all data levels of several KPF observations\n", + "# Run QC tests for one data level on a single KPF observation\n", "The method `test_all_QCs(kpf_object, data_level)` runs the QC tests on a kpf_object for the stated data_level." ] }, + { + "cell_type": "code", + "execution_count": 2, + "id": "90dfed2a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1mL2 QC tests on KP.20230701.49940.99\u001b[0m\n", + "\u001b[1m***********************************\u001b[0m\n", + "INFO: Spectrum type: Star\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", + "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", + "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: The datetime of ObsID is 2023-07-01 13:52:20.\n", + "INFO: QC result: \u001b[1;32m1.0\u001b[0m (True = pass)\n" + ] + } + ], + "source": [ + "ObsID = 'KP.20230701.49940.99' # 185144 (stellar observation)\n", + "data_level = 'L2'\n", + "if os.path.isfile(get_kpf_data(ObsID, data_level, return_kpf_object=False)):\n", + " print(f'\\033[1m{data_level} QC tests on {ObsID}\\033[0m')\n", + " print(f'\\033[1m***********************************\\033[0m')\n", + " kpf_object = get_kpf_data(ObsID, data_level)\n", + " test_all_QCs(kpf_object, data_level)" + ] + }, + { + "cell_type": "markdown", + "id": "0e9d17ca", + "metadata": {}, + "source": [ + "# Run all QC tests on all data levels of several KPF observations\n", + "Now loop over data levels and obserations" + ] + }, { "cell_type": "code", "execution_count": 3, - "id": "5ad8b062", + "id": "cefa5a92", "metadata": {}, "outputs": [ { @@ -283,704 +335,716 @@ "\u001b[1mL0 QC tests on KP.20230701.49940.99\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Star\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Check if expected L0 data products are present with non-zero array sizes.)\n", + "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", "INFO: Method L0_data_products_check does not exist in qc_obj or another AttributeError occurred: 'KPF0' object has no attribute 'GUIDER_AVG'\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Check if expected L0 header keywords are present.)\n", + "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Check for timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", "INFO: Method L0_datetime_checks does not exist in qc_obj or another AttributeError occurred: 'KPF0' object has no attribute 'GUIDER_AVG'\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (Check if 2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Check for negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2023-07-01 13:52:20.\n", "INFO: QC result: \u001b[1;32m1.0\u001b[0m (True = pass)\n", "\n", "\u001b[1m2D QC tests on KP.20230701.49940.99\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Star\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (Check if an LFC frame that goes into a master has sufficient flux) because spectrum type Star not in list of spectrum types: ['LFC']\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Check if flux is low in bias exposure.) because spectrum type Star not in list of spectrum types: ['Bias']\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Check if flux is low in dark exposure.) because spectrum type Star not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (Check if CaHK CCD data is present with expected array sizes.)\n", + "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type Star not in list of spectrum types: ['LFC']\n", + "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type Star not in list of spectrum types: ['Bias']\n", + "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type Star not in list of spectrum types: ['Dark']\n", + "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Check if red/green CCD data is present with expected array sizes.)\n", + "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2023-07-01 13:52:20.\n", "INFO: QC result: \u001b[1;32m1.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL1 QC tests on KP.20230701.49940.99\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Star\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Check if wavelength solution is monotonic.)\n", + "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Check if red/green data are present in L1 with expected shapes.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (Check if CaHK data is present in L1 with expected shape.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2023-07-01 13:52:20.\n", "INFO: QC result: \u001b[1;32m1.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL2 QC tests on KP.20230701.49940.99\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Star\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Check for timing consistency in L2 files.)\n", + "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (Check if all data are present in L2.)\n", + "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2023-07-01 13:52:20.\n", "INFO: QC result: \u001b[1;32m1.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL0 QC tests on KP.20240525.77699.94\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Sun\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Check if expected L0 data products are present with non-zero array sizes.)\n", + "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Check if expected L0 header keywords are present.)\n", + "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Check for timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (Check if 2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Check for negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-25 21:34:59.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1m2D QC tests on KP.20240525.77699.94\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Sun\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (Check if an LFC frame that goes into a master has sufficient flux) because spectrum type Sun not in list of spectrum types: ['LFC']\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Check if flux is low in bias exposure.) because spectrum type Sun not in list of spectrum types: ['Bias']\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Check if flux is low in dark exposure.) because spectrum type Sun not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (Check if CaHK CCD data is present with expected array sizes.)\n", + "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type Sun not in list of spectrum types: ['LFC']\n", + "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type Sun not in list of spectrum types: ['Bias']\n", + "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type Sun not in list of spectrum types: ['Dark']\n", + "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Check if red/green CCD data is present with expected array sizes.)\n", + "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-25 21:34:59.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL1 QC tests on KP.20240525.77699.94\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Sun\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Check if wavelength solution is monotonic.)\n", + "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Check if red/green data are present in L1 with expected shapes.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (Check if CaHK data is present in L1 with expected shape.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-25 21:34:59.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL2 QC tests on KP.20240525.77699.94\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Sun\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Check for timing consistency in L2 files.)\n", + "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (Check if all data are present in L2.)\n", + "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-25 21:34:59.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL0 QC tests on KP.20240528.04120.26\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n", + "\u001b[1m***********************************\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "INFO: Spectrum type: Bias\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Check if expected L0 data products are present with non-zero array sizes.)\n", + "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Check if expected L0 header keywords are present.)\n", + "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Check for timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (Check if 2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Check for negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 01:08:40.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1m2D QC tests on KP.20240528.04120.26\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Bias\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (Check if an LFC frame that goes into a master has sufficient flux) because spectrum type Bias not in list of spectrum types: ['LFC']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_bias_low_flux_check\u001b[0m (Check if flux is low in bias exposure.)\n", + "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type Bias not in list of spectrum types: ['LFC']\n", + "INFO: Running QC: \u001b[1;34mdata_2D_bias_low_flux_check\u001b[0m (Flux is low in bias exposure.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Check if flux is low in dark exposure.) because spectrum type Bias not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (Check if CaHK CCD data is present with expected array sizes.)\n", + "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type Bias not in list of spectrum types: ['Dark']\n", + "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Check if red/green CCD data is present with expected array sizes.)\n", + "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 01:08:40.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL1 QC tests on KP.20240528.04120.26\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Bias\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Check if wavelength solution is monotonic.)\n", + "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Check if red/green data are present in L1 with expected shapes.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (Check if CaHK data is present in L1 with expected shape.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 01:08:40.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL0 QC tests on KP.20240528.08502.04\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Dark\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Check if expected L0 data products are present with non-zero array sizes.)\n", + "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Check if expected L0 header keywords are present.)\n", + "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Check for timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (Check if 2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Check for negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:21:42.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1m2D QC tests on KP.20240528.08502.04\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Dark\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (Check if an LFC frame that goes into a master has sufficient flux) because spectrum type Dark not in list of spectrum types: ['LFC']\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Check if flux is low in bias exposure.) because spectrum type Dark not in list of spectrum types: ['Bias']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_dark_low_flux_check\u001b[0m (Check if flux is low in dark exposure.)\n", + "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type Dark not in list of spectrum types: ['LFC']\n", + "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type Dark not in list of spectrum types: ['Bias']\n", + "INFO: Running QC: \u001b[1;34mdata_2D_dark_low_flux_check\u001b[0m (Flux is low in dark exposure.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (Check if CaHK CCD data is present with expected array sizes.)\n", + "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Check if red/green CCD data is present with expected array sizes.)\n", + "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:21:42.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL1 QC tests on KP.20240528.08502.04\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Dark\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Check if wavelength solution is monotonic.)\n", + "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Check if red/green data are present in L1 with expected shapes.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (Check if CaHK data is present in L1 with expected shape.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:21:42.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL0 QC tests on KP.20240527.84455.02\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Flat\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Check if expected L0 data products are present with non-zero array sizes.)\n", + "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Check if expected L0 header keywords are present.)\n", + "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Check for timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (Check if 2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Check for negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 23:27:35.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1m2D QC tests on KP.20240527.84455.02\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Flat\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (Check if an LFC frame that goes into a master has sufficient flux) because spectrum type Flat not in list of spectrum types: ['LFC']\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Check if flux is low in bias exposure.) because spectrum type Flat not in list of spectrum types: ['Bias']\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Check if flux is low in dark exposure.) because spectrum type Flat not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (Check if CaHK CCD data is present with expected array sizes.)\n", + "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type Flat not in list of spectrum types: ['LFC']\n", + "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type Flat not in list of spectrum types: ['Bias']\n", + "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type Flat not in list of spectrum types: ['Dark']\n", + "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Check if red/green CCD data is present with expected array sizes.)\n", + "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 23:27:35.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL1 QC tests on KP.20240527.84455.02\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n", + "\u001b[1m***********************************\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "INFO: Spectrum type: Flat\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Check if wavelength solution is monotonic.)\n", + "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Check if red/green data are present in L1 with expected shapes.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (Check if CaHK data is present in L1 with expected shape.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 23:27:35.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL2 QC tests on KP.20240527.84455.02\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Flat\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Check for timing consistency in L2 files.)\n", + "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (Check if all data are present in L2.)\n", + "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 23:27:35.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL0 QC tests on KP.20240526.11989.38\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: LFC\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Check if expected L0 data products are present with non-zero array sizes.)\n", + "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Check if expected L0 header keywords are present.)\n", + "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Check for timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (Check if 2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Check for negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-26 03:19:49.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1m2D QC tests on KP.20240526.11989.38\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: LFC\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mD2_lfc_flux_check\u001b[0m (Check if an LFC frame that goes into a master has sufficient flux)\n", + "INFO: Running QC: \u001b[1;34mD2_lfc_flux_check\u001b[0m (LFC frame that goes into a master has sufficient flux)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Check if flux is low in bias exposure.) because spectrum type LFC not in list of spectrum types: ['Bias']\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Check if flux is low in dark exposure.) because spectrum type LFC not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (Check if CaHK CCD data is present with expected array sizes.)\n", + "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type LFC not in list of spectrum types: ['Bias']\n", + "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type LFC not in list of spectrum types: ['Dark']\n", + "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Check if red/green CCD data is present with expected array sizes.)\n", + "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-26 03:19:49.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL1 QC tests on KP.20240526.11989.38\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: LFC\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Check if wavelength solution is monotonic.)\n", + "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Check if red/green data are present in L1 with expected shapes.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (Check if CaHK data is present in L1 with expected shape.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-26 03:19:49.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL2 QC tests on KP.20240526.11989.38\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: LFC\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Check for timing consistency in L2 files.)\n", + "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (Check if all data are present in L2.)\n", + "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-26 03:19:49.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL0 QC tests on KP.20240528.07447.61\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: ThAr\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Check if expected L0 data products are present with non-zero array sizes.)\n", + "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Check if expected L0 header keywords are present.)\n", + "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Check for timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (Check if 2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Check for negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:04:07.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1m2D QC tests on KP.20240528.07447.61\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: ThAr\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (Check if an LFC frame that goes into a master has sufficient flux) because spectrum type ThAr not in list of spectrum types: ['LFC']\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Check if flux is low in bias exposure.) because spectrum type ThAr not in list of spectrum types: ['Bias']\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Check if flux is low in dark exposure.) because spectrum type ThAr not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (Check if CaHK CCD data is present with expected array sizes.)\n", + "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type ThAr not in list of spectrum types: ['LFC']\n", + "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type ThAr not in list of spectrum types: ['Bias']\n", + "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type ThAr not in list of spectrum types: ['Dark']\n", + "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Check if red/green CCD data is present with expected array sizes.)\n", + "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:04:07.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL1 QC tests on KP.20240528.07447.61\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n", + "\u001b[1m***********************************\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "INFO: Spectrum type: ThAr\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Check if wavelength solution is monotonic.)\n", + "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Check if red/green data are present in L1 with expected shapes.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (Check if CaHK data is present in L1 with expected shape.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:04:07.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL2 QC tests on KP.20240528.07447.61\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: ThAr\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Check for timing consistency in L2 files.)\n", + "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (Check if all data are present in L2.)\n", + "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:04:07.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL0 QC tests on KP.20240527.11183.00\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: UNe\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Check if expected L0 data products are present with non-zero array sizes.)\n", + "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Check if expected L0 header keywords are present.)\n", + "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Check for timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (Check if 2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Check for negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 03:06:23.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1m2D QC tests on KP.20240527.11183.00\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: UNe\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (Check if an LFC frame that goes into a master has sufficient flux) because spectrum type UNe not in list of spectrum types: ['LFC']\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Check if flux is low in bias exposure.) because spectrum type UNe not in list of spectrum types: ['Bias']\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Check if flux is low in dark exposure.) because spectrum type UNe not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (Check if CaHK CCD data is present with expected array sizes.)\n", + "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type UNe not in list of spectrum types: ['LFC']\n", + "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type UNe not in list of spectrum types: ['Bias']\n", + "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type UNe not in list of spectrum types: ['Dark']\n", + "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Check if red/green CCD data is present with expected array sizes.)\n", + "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 03:06:23.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL1 QC tests on KP.20240527.11183.00\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: UNe\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Check if wavelength solution is monotonic.)\n", + "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Check if red/green data are present in L1 with expected shapes.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (Check if CaHK data is present in L1 with expected shape.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 03:06:23.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL2 QC tests on KP.20240527.11183.00\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: UNe\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Check for timing consistency in L2 files.)\n", + "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (Check if all data are present in L2.)\n", + "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 03:06:23.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL0 QC tests on KP.20240528.05681.26\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Etalon\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Check if expected L0 data products are present with non-zero array sizes.)\n", + "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Check if expected L0 header keywords are present.)\n", + "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Check for timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (Check if 2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Check for negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 01:34:41.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1m2D QC tests on KP.20240528.05681.26\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Etalon\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (Check if an LFC frame that goes into a master has sufficient flux) because spectrum type Etalon not in list of spectrum types: ['LFC']\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Check if flux is low in bias exposure.) because spectrum type Etalon not in list of spectrum types: ['Bias']\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Check if flux is low in dark exposure.) because spectrum type Etalon not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (Check if CaHK CCD data is present with expected array sizes.)\n", + "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type Etalon not in list of spectrum types: ['LFC']\n", + "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type Etalon not in list of spectrum types: ['Bias']\n", + "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type Etalon not in list of spectrum types: ['Dark']\n", + "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Check if red/green CCD data is present with expected array sizes.)\n", + "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 01:34:41.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL1 QC tests on KP.20240528.05681.26\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n", + "\u001b[1m***********************************\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "INFO: Spectrum type: Etalon\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Check if wavelength solution is monotonic.)\n", + "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Check if red/green data are present in L1 with expected shapes.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (Check if CaHK data is present in L1 with expected shape.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 01:34:41.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL2 QC tests on KP.20240528.05681.26\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Etalon\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Check for timing consistency in L2 files.)\n", + "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (Check if all data are present in L2.)\n", + "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 01:34:41.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL0 QC tests on KP.20240527.51851.54\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Etalon\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Check if expected L0 data products are present with non-zero array sizes.)\n", + "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Check if expected L0 header keywords are present.)\n", + "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Check for timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (Check if 2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Check for negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 14:24:11.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1m2D QC tests on KP.20240527.51851.54\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Etalon\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (Check if an LFC frame that goes into a master has sufficient flux) because spectrum type Etalon not in list of spectrum types: ['LFC']\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Check if flux is low in bias exposure.) because spectrum type Etalon not in list of spectrum types: ['Bias']\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Check if flux is low in dark exposure.) because spectrum type Etalon not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (Check if CaHK CCD data is present with expected array sizes.)\n", + "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type Etalon not in list of spectrum types: ['LFC']\n", + "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type Etalon not in list of spectrum types: ['Bias']\n", + "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type Etalon not in list of spectrum types: ['Dark']\n", + "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Check if red/green CCD data is present with expected array sizes.)\n", + "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 14:24:11.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL1 QC tests on KP.20240527.51851.54\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Etalon\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Check if wavelength solution is monotonic.)\n", + "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Check if red/green data are present in L1 with expected shapes.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (Check if CaHK data is present in L1 with expected shape.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 14:24:11.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL2 QC tests on KP.20240527.51851.54\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Etalon\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Check for timing consistency in L2 files.)\n", + "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (Check if all data are present in L2.)\n", + "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 14:24:11.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL0 QC tests on KP.20240528.07772.51\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: \n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Check if expected L0 data products are present with non-zero array sizes.)\n", + "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Check if expected L0 header keywords are present.)\n", + "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Check for timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (Check if 2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Check for negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:09:32.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1m2D QC tests on KP.20240528.07772.51\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: \n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (Check if an LFC frame that goes into a master has sufficient flux) because spectrum type not in list of spectrum types: ['LFC']\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Check if flux is low in bias exposure.) because spectrum type not in list of spectrum types: ['Bias']\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Check if flux is low in dark exposure.) because spectrum type not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (Check if CaHK CCD data is present with expected array sizes.)\n", + "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type not in list of spectrum types: ['LFC']\n", + "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type not in list of spectrum types: ['Bias']\n", + "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type not in list of spectrum types: ['Dark']\n", + "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Check if red/green CCD data is present with expected array sizes.)\n", + "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:09:32.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL1 QC tests on KP.20240528.07772.51\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n", + "\u001b[1m***********************************\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "INFO: Spectrum type: \n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Check if wavelength solution is monotonic.)\n", + "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Check if red/green data are present in L1 with expected shapes.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (Check if CaHK data is present in L1 with expected shape.)\n", + "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:09:32.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL2 QC tests on KP.20240528.07772.51\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: \n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (Check if file is not in list of junk files.)\n", + "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Check for timing consistency in L2 files.)\n", + "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (Check if all data are present in L2.)\n", + "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test. The QC module is used to add the KPFERA keyword to all files.)\n", + "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:09:32.\n", "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n" ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -1010,8 +1074,19 @@ " print(f'\\033[1m***********************************\\033[0m')\n", " kpf_object = get_kpf_data(ObsID, data_level)\n", " test_all_QCs(kpf_object, data_level)\n", - " print()" + " print()\n", + " \n", + "# prevent scrolling in the resulting Notebook cell\n", + "display(HTML(\"\"))" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "348ff8d3", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From 87ae046276973a39c89d93c7800d78cca2158d50 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 13:51:19 -0700 Subject: [PATCH 04/84] Link Jupyter notebook --- docs/source/info/quality_control.rst | 172 ++------------------------- 1 file changed, 7 insertions(+), 165 deletions(-) diff --git a/docs/source/info/quality_control.rst b/docs/source/info/quality_control.rst index 6f90e2da5..5cc0fc99e 100644 --- a/docs/source/info/quality_control.rst +++ b/docs/source/info/quality_control.rst @@ -3,172 +3,14 @@ Quality Control The KPF DRP has several Quality Control (QC) methods that can be run on the L0, 2D, L1, and 2D objects. The QC tests are run during normal processing in the main recipe. -The results of these QC checks are added to the primary headers of kpf objects, which are written to 2D, L1, and L2 FITS files (but not the L0 files, which with rare exceptions are not modified after data collection at WMKO). +The results of these QC checks are added to the primary headers of kpf objects, which are written to 2D, L1, and L2 FITS files (but not the L0 files, which, with rare exceptions, are not modified after data collection at WMKO). The QC methods are defined in the ``QCDefinitions`` class in ``modules/quality_control/src/quality_control.py``. -The FITS header keywords produced by QC tests are defined in :doc:`data_format`. -The QCDefinitions.list_qc_metrics () produces a list of QC tests and their characteristics (including the primary header keywords), as shown below. -Note that some QC tests are applied to multiple KPF data levels and spectrum types. +The FITS header keywords QC tests produce are defined in :doc:`data_format`. -:: +The Jupyter notebook below demonstrates some features of the Quality Control module. - > from modules.quality_control.src.quality_control import * - > myQCdef = QCDefinitions() - > myQCdef.list_qc_metrics() - - Quality Control tests for L0: - QC Name: not_junk_check - Description: Check if file is not in list of junk files. - Data levels: ['L0', '2D', 'L1', 'L2'] - Data type: int - Spectrum types: ['all'] - Keyword: NOTJUNK - Comment: QC: Not in list of junk files - - QC Name: L0_data_products_check - Description: Check if expected L0 data products are present with non-zero array sizes. - Data levels: ['L0'] - Data type: int - Spectrum types: ['all'] - Keyword: DATAPRL0 - Comment: QC: L0 data present - - QC Name: L0_header_keywords_present_check - Description: Check if expected L0 header keywords are present. - Data levels: ['L0'] - Data type: int - Spectrum types: ['all'] - Keyword: KWRDPRL0 - Comment: QC: L0 keywords present - - QC Name: L0_datetime_checks - Description: Check for timing consistency in L0 header keywords and Exp Meter table. - Data levels: ['L0'] - Data type: int - Spectrum types: ['all'] - Keyword: TIMCHKL0 - Comment: QC: L0 times consistent - - QC Name: exposure_meter_not_saturated_check - Description: Check if 2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY. - Data levels: ['L0'] - Data type: int - Spectrum types: ['all'] - Keyword: EMSAT - Comment: QC: EM not saturated - - QC Name: exposure_meter_flux_not_negative_check - Description: Check for negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux. - Data levels: ['L0'] - Data type: int - Spectrum types: ['all'] - Keyword: EMNEG - Comment: QC: EM not negative flux - - Quality Control tests for 2D: - QC Name: not_junk_check - Description: Check if file is not in list of junk files. - Data levels: ['L0', '2D', 'L1', 'L2'] - Data type: int - Spectrum types: ['all'] - Keyword: NOTJUNK - Comment: QC: Not in list of junk files - - QC Name: data_2D_red_green_check - Description: Check to see if red and green CCD data is present with expected array sizes. - Data levels: ['2D'] - Data type: int - Spectrum types: ['all'] - Keyword: DATAPR2D - Comment: QC: 2D red and green data present check - Database column: None - - QC Name: data_2D_CaHK_check - Description: Check to see if CaHK CCD data is present with expected array sizes. - Data levels: ['2D'] - Data type: int - Spectrum types: ['all'] - Keyword: CaHKPR2D - Comment: QC: 2D CaHK data present check - - QC Name: data_2D_bias_low_flux_check - Description: Check to see if flux is low in bias exposure. - Data levels: ['2D'] - Data type: int - Spectrum types: ['Bias'] - Keyword: LOWBIAS - Comment: QC: 2D bias low flux check - - QC Name: data_2D_dark_low_flux_check - Description: Check to see if flux is low in dark exposure. - Data levels: ['2D'] - Data type: int - Spectrum types: ['Dark'] - Keyword: LOWDARK - Comment: QC: 2D dark low flux check - - QC Name: D2_lfc_flux_check - Description: Check if an LFC frame that goes into a master has sufficient flux - Data levels: ['2D'] - Data type: int - Spectrum types: ['LFC'] - Keyword: LFC2DFOK - Comment: QC: LFC flux meets threshold of 4000 counts - - Quality Control tests for L1: - QC Name: not_junk_check - Description: Check if file is not in list of junk files. - Data levels: ['L0', '2D', 'L1', 'L2'] - Data type: int - Spectrum types: ['all'] - Keyword: NOTJUNK - Comment: QC: Not in list of junk files - - QC Name: monotonic_wavelength_solution_check - Description: Check if wavelength solution is monotonic. - Data levels: ['L1'] - Data type: int - Spectrum types: ['all'] - Keyword: MONOTWLS - Comment: QC: Monotonic wavelength-solution - - QC Name: data_L1_red_green_check - Description: Check to see if red and green data are present in L1 with expected shapes. - Data levels: ['L1'] - Data type: int - Spectrum types: ['all'] - Keyword: DATAPRL1 - Comment: QC: L1 red and green data present check - - QC Name: data_L1_CaHK_check - Description: Check to see if CaHK data is present in L1 with expected shape. - Data levels: ['L1'] - Data type: int - Spectrum types: ['all'] - Keyword: CaHKPRL1 - Comment: QC: L1 CaHK present check - - Quality Control tests for L2: - QC Name: not_junk_check - Description: Check if file is not in list of junk files. - Data levels: ['L0', '2D', 'L1', 'L2'] - Data type: int - Spectrum types: ['all'] - Keyword: NOTJUNK - Comment: QC: Not in list of junk files - - QC Name: L2_datetime_checks - Description: Check for timing consistency in L2 files. - Data levels: ['L2'] - Data type: int - Spectrum types: ['all'] - Keyword: TIMCHKL2 - Comment: QC: L2 times consistent - - QC Name: data_L2_check - Description: Check to see if all data is present in L2. - Data levels: ['L2'] - Data type: int - Spectrum types: ['all'] - Keyword: DATAPRL2 - Comment: QC: L2 data present check +.. toctree:: + :maxdepth: 0 + + ../tutorials/KPF_Data_Tutorial_Quality_Control.ipynb From e86538145bec003345fe7edd22bbc48705ab1d52 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 13:57:50 -0700 Subject: [PATCH 05/84] Attempting include statement --- docs/source/info/quality_control.rst | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/docs/source/info/quality_control.rst b/docs/source/info/quality_control.rst index 5cc0fc99e..d3e1634d2 100644 --- a/docs/source/info/quality_control.rst +++ b/docs/source/info/quality_control.rst @@ -3,14 +3,18 @@ Quality Control The KPF DRP has several Quality Control (QC) methods that can be run on the L0, 2D, L1, and 2D objects. The QC tests are run during normal processing in the main recipe. -The results of these QC checks are added to the primary headers of kpf objects, which are written to 2D, L1, and L2 FITS files (but not the L0 files, which, with rare exceptions, are not modified after data collection at WMKO). The QC methods are defined in the ``QCDefinitions`` class in ``modules/quality_control/src/quality_control.py``. - +The results of these QC checks are added to the primary headers of kpf objects, which are written to 2D, L1, and L2 FITS files (but not the L0 files, which, with rare exceptions, are not modified after data collection at WMKO). The FITS header keywords QC tests produce are defined in :doc:`data_format`. +One can find the QC tests on the command line using a command like + +``> fitsheader -e 0 /data/kpf/L2/20230701/KP.20230701.49940.99_L2.fits | grep QC:`` -The Jupyter notebook below demonstrates some features of the Quality Control module. +The Jupyter Notebook linked in the bullet points below demonstrates some features of the Quality Control module. .. toctree:: :maxdepth: 0 +.. nbsphinx:: + ../tutorials/KPF_Data_Tutorial_Quality_Control.ipynb From 803679acb1bd91cb6fc2208fdeb90ac8bfafafc9 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 14:01:26 -0700 Subject: [PATCH 06/84] Second attempt at include statement --- docs/source/info/quality_control.rst | 3 --- 1 file changed, 3 deletions(-) diff --git a/docs/source/info/quality_control.rst b/docs/source/info/quality_control.rst index d3e1634d2..6620b411e 100644 --- a/docs/source/info/quality_control.rst +++ b/docs/source/info/quality_control.rst @@ -12,9 +12,6 @@ One can find the QC tests on the command line using a command like The Jupyter Notebook linked in the bullet points below demonstrates some features of the Quality Control module. -.. toctree:: - :maxdepth: 0 - .. nbsphinx:: ../tutorials/KPF_Data_Tutorial_Quality_Control.ipynb From 2e1f5678c16ce863d17168de03365270d370295f Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 14:05:42 -0700 Subject: [PATCH 07/84] third try --- docs/source/info/quality_control.rst | 12 ++---------- 1 file changed, 2 insertions(+), 10 deletions(-) diff --git a/docs/source/info/quality_control.rst b/docs/source/info/quality_control.rst index 6620b411e..56e11c8f1 100644 --- a/docs/source/info/quality_control.rst +++ b/docs/source/info/quality_control.rst @@ -1,16 +1,8 @@ Quality Control =============== -The KPF DRP has several Quality Control (QC) methods that can be run on the L0, 2D, L1, and 2D objects. -The QC tests are run during normal processing in the main recipe. -The QC methods are defined in the ``QCDefinitions`` class in ``modules/quality_control/src/quality_control.py``. -The results of these QC checks are added to the primary headers of kpf objects, which are written to 2D, L1, and L2 FITS files (but not the L0 files, which, with rare exceptions, are not modified after data collection at WMKO). -The FITS header keywords QC tests produce are defined in :doc:`data_format`. -One can find the QC tests on the command line using a command like - -``> fitsheader -e 0 /data/kpf/L2/20230701/KP.20230701.49940.99_L2.fits | grep QC:`` - -The Jupyter Notebook linked in the bullet points below demonstrates some features of the Quality Control module. +.. toctree:: + :maxdepth: 0 .. nbsphinx:: From 900684db8265e56f2afd8962161026b8208f51ff Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 14:10:04 -0700 Subject: [PATCH 08/84] fourth try --- docs/source/info/quality_control.rst | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/docs/source/info/quality_control.rst b/docs/source/info/quality_control.rst index 56e11c8f1..4c84b324b 100644 --- a/docs/source/info/quality_control.rst +++ b/docs/source/info/quality_control.rst @@ -1,9 +1,8 @@ +.. _quality_control: + Quality Control =============== -.. toctree:: - :maxdepth: 0 - .. nbsphinx:: ../tutorials/KPF_Data_Tutorial_Quality_Control.ipynb From 3f5433eeff329be2ed1aecc2350fa8c698f65aeb Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 14:16:03 -0700 Subject: [PATCH 09/84] Add ability to link .ipynb --- docs/source/conf.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index b55308dea..3e269e9b2 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -42,7 +42,8 @@ 'sphinx.ext.githubpages', 'sphinx_rtd_theme', 'sphinxcontrib.napoleon', - 'nbsphinx' + 'nbsphinx', + 'nbsphinx_link' ] # Add any paths that contain templates here, relative to this directory. From aa337feafc75941f0a96cd8484715713fef96190 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 14:20:15 -0700 Subject: [PATCH 10/84] Revert --- docs/source/conf.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 3e269e9b2..b55308dea 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -42,8 +42,7 @@ 'sphinx.ext.githubpages', 'sphinx_rtd_theme', 'sphinxcontrib.napoleon', - 'nbsphinx', - 'nbsphinx_link' + 'nbsphinx' ] # Add any paths that contain templates here, relative to this directory. From 616aa3c1854d3e1287b5c09a5a32cbad8b5babc9 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 14:23:30 -0700 Subject: [PATCH 11/84] try again with the Jupyter Notebook linking --- docs/source/conf.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index b55308dea..9d46d7117 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -42,7 +42,8 @@ 'sphinx.ext.githubpages', 'sphinx_rtd_theme', 'sphinxcontrib.napoleon', - 'nbsphinx' + 'nbsphinx', + 'nbsphinx-link' ] # Add any paths that contain templates here, relative to this directory. From 49b33b62c9a0e0c2ad206de8d525fc25f97788a3 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 14:28:20 -0700 Subject: [PATCH 12/84] Try again. --- docs/source/conf.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 9d46d7117..73c01c219 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -43,7 +43,7 @@ 'sphinx_rtd_theme', 'sphinxcontrib.napoleon', 'nbsphinx', - 'nbsphinx-link' + 'nbsphinx_link', ] # Add any paths that contain templates here, relative to this directory. From 4fa2a9110608e55d1804530ce6afaa95d66d3320 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 14:31:55 -0700 Subject: [PATCH 13/84] Including Jupyter Notebooks inline --- requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/requirements.txt b/requirements.txt index 5bb9b1ffe..2e0f3173f 100644 --- a/requirements.txt +++ b/requirements.txt @@ -23,6 +23,7 @@ sphinx sphinx-rtd-theme sphinxcontrib-napoleon nbsphinx +nbsphinx_link pandoc ipython pygments From cc84e6ecb4d7b6f19c37e27cc64ca193e7743081 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 14:35:05 -0700 Subject: [PATCH 14/84] Back to the ToC method --- docs/source/info/quality_control.rst | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/source/info/quality_control.rst b/docs/source/info/quality_control.rst index 4c84b324b..b78f029c9 100644 --- a/docs/source/info/quality_control.rst +++ b/docs/source/info/quality_control.rst @@ -3,6 +3,7 @@ Quality Control =============== -.. nbsphinx:: +.. toctree:: + :maxdepth: 10 ../tutorials/KPF_Data_Tutorial_Quality_Control.ipynb From 056b1f5f1496c1b01335b76400fd91df0af9edc8 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 14:37:32 -0700 Subject: [PATCH 15/84] use include statement now --- docs/source/info/quality_control.rst | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/docs/source/info/quality_control.rst b/docs/source/info/quality_control.rst index b78f029c9..b76efd22c 100644 --- a/docs/source/info/quality_control.rst +++ b/docs/source/info/quality_control.rst @@ -3,7 +3,4 @@ Quality Control =============== -.. toctree:: - :maxdepth: 10 - - ../tutorials/KPF_Data_Tutorial_Quality_Control.ipynb +.. include:: ../tutorials/KPF_Data_Tutorial_Quality_Control.ipynb From 13b1f909aeee5da7d28b0ad95f438c6cb311e940 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 14:50:01 -0700 Subject: [PATCH 16/84] Again --- docs/source/info/quality_control.rst | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/source/info/quality_control.rst b/docs/source/info/quality_control.rst index b76efd22c..3071ceac1 100644 --- a/docs/source/info/quality_control.rst +++ b/docs/source/info/quality_control.rst @@ -1,6 +1,6 @@ -.. _quality_control: - Quality Control =============== -.. include:: ../tutorials/KPF_Data_Tutorial_Quality_Control.ipynb +.. nbsphinx:: + + tutorials/KPF_Data_Tutorial_Quality_Control.ipynb From c5135ba491c0ec814fe2801c353cdfd043c86413 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 14:55:22 -0700 Subject: [PATCH 17/84] Again --- docs/source/info/quality_control.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/info/quality_control.rst b/docs/source/info/quality_control.rst index 3071ceac1..f87725e91 100644 --- a/docs/source/info/quality_control.rst +++ b/docs/source/info/quality_control.rst @@ -3,4 +3,4 @@ Quality Control .. nbsphinx:: - tutorials/KPF_Data_Tutorial_Quality_Control.ipynb + ../tutorials/KPF_Data_Tutorial_Quality_Control.ipynb From 52eb0f37f0c027eae3c0ed21dfab937d07082055 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 14:55:43 -0700 Subject: [PATCH 18/84] Revert --- docs/source/conf.py | 1 - 1 file changed, 1 deletion(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 73c01c219..74d492b4f 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -43,7 +43,6 @@ 'sphinx_rtd_theme', 'sphinxcontrib.napoleon', 'nbsphinx', - 'nbsphinx_link', ] # Add any paths that contain templates here, relative to this directory. From 1c85b24f7c232bbe6ec2c9c740b1a8b10dfb266a Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 15:05:26 -0700 Subject: [PATCH 19/84] Added ipynb to toctree --- docs/source/index.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/source/index.rst b/docs/source/index.rst index 22b422155..18f3d2c62 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -13,3 +13,4 @@ Welcome! This is the documentation for the KPF Data Reduction Pipeline. primitives/primitives.rst info/quality_control.rst analysis/analysis.rst + tutorials/tutorials/KPF_Data_Tutorial_Quality_Control From 3a8e49cd2d8b889a38f46346055195d8b5466d11 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 15:13:39 -0700 Subject: [PATCH 20/84] Fixed path --- docs/source/index.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/index.rst b/docs/source/index.rst index 18f3d2c62..17aea29f1 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -13,4 +13,4 @@ Welcome! This is the documentation for the KPF Data Reduction Pipeline. primitives/primitives.rst info/quality_control.rst analysis/analysis.rst - tutorials/tutorials/KPF_Data_Tutorial_Quality_Control + tutorials/KPF_Data_Tutorial_Quality_Control From 2eeac63b6e060b160f949be2050a2809ee7ecbd5 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 15:32:30 -0700 Subject: [PATCH 21/84] path adjust --- docs/source/info/quality_control.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/info/quality_control.rst b/docs/source/info/quality_control.rst index f87725e91..3071ceac1 100644 --- a/docs/source/info/quality_control.rst +++ b/docs/source/info/quality_control.rst @@ -3,4 +3,4 @@ Quality Control .. nbsphinx:: - ../tutorials/KPF_Data_Tutorial_Quality_Control.ipynb + tutorials/KPF_Data_Tutorial_Quality_Control.ipynb From 590c640588cf313a5846edda0b6ca7c489fe6b61 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 15:36:50 -0700 Subject: [PATCH 22/84] Undo --- docs/source/index.rst | 1 - 1 file changed, 1 deletion(-) diff --git a/docs/source/index.rst b/docs/source/index.rst index 17aea29f1..22b422155 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -13,4 +13,3 @@ Welcome! This is the documentation for the KPF Data Reduction Pipeline. primitives/primitives.rst info/quality_control.rst analysis/analysis.rst - tutorials/KPF_Data_Tutorial_Quality_Control From 4aff17a5780859921c555e26899382524624da1b Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 15:45:43 -0700 Subject: [PATCH 23/84] Back to TOC --- docs/source/info/quality_control.rst | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/docs/source/info/quality_control.rst b/docs/source/info/quality_control.rst index 3071ceac1..89be7f82f 100644 --- a/docs/source/info/quality_control.rst +++ b/docs/source/info/quality_control.rst @@ -1,6 +1,7 @@ Quality Control =============== -.. nbsphinx:: +.. toctree:: + :maxdepth: 1 - tutorials/KPF_Data_Tutorial_Quality_Control.ipynb + ../tutorials/KPF_Data_Tutorial_Quality_Control.ipynb From 88004a489dd10e7e025d96be8ec0dfa475970335 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 15:54:31 -0700 Subject: [PATCH 24/84] playing with maxdepth --- docs/source/info/quality_control.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/info/quality_control.rst b/docs/source/info/quality_control.rst index 89be7f82f..0a1fd253a 100644 --- a/docs/source/info/quality_control.rst +++ b/docs/source/info/quality_control.rst @@ -2,6 +2,6 @@ Quality Control =============== .. toctree:: - :maxdepth: 1 + :maxdepth: 2 ../tutorials/KPF_Data_Tutorial_Quality_Control.ipynb From 7ed2178a5bb5d80fb2e16b8db300e69e8a721b9b Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 16:02:28 -0700 Subject: [PATCH 25/84] Put QC back in ToC --- docs/source/index.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/source/index.rst b/docs/source/index.rst index 22b422155..708ed207a 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -12,4 +12,5 @@ Welcome! This is the documentation for the KPF Data Reduction Pipeline. api/api.rst primitives/primitives.rst info/quality_control.rst + tutorials/KPF_Data_Tutorial_L0_and_2D analysis/analysis.rst From c042df55f82136694df754c87d7e848cf6366fad Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 16:07:34 -0700 Subject: [PATCH 26/84] removed file --- docs/source/info/quality_control.rst | 7 ------- 1 file changed, 7 deletions(-) delete mode 100644 docs/source/info/quality_control.rst diff --git a/docs/source/info/quality_control.rst b/docs/source/info/quality_control.rst deleted file mode 100644 index 0a1fd253a..000000000 --- a/docs/source/info/quality_control.rst +++ /dev/null @@ -1,7 +0,0 @@ -Quality Control -=============== - -.. toctree:: - :maxdepth: 2 - - ../tutorials/KPF_Data_Tutorial_Quality_Control.ipynb From 1a9612e32bd357d1adaa23b4c6f4504117633e73 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 16:08:20 -0700 Subject: [PATCH 27/84] updated toc --- .../KPF_Data_Tutorial_Quality_Control.ipynb | 130 ++++++++++-------- 1 file changed, 73 insertions(+), 57 deletions(-) diff --git a/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb b/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb index 7f879566d..3581630b9 100644 --- a/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb +++ b/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb @@ -1,11 +1,27 @@ { "cells": [ + { + "cell_type": "markdown", + "id": "9df55880", + "metadata": {}, + "source": [ + "# Quality Control" + ] + }, { "cell_type": "markdown", "id": "635b80ed", "metadata": {}, "source": [ - "# Quality Control\n", + "The KPF DRP has several Quality Control (QC) methods that can be run on the L0, 2D, L1, and 2D objects. \n", + "The usual application of QC tests is executing them during normal processing in the main recipe. \n", + "The QC methods are defined in the ``QCDefinitions`` class in ``modules/quality_control/src/quality_control.py``.\n", + "The results of these QC checks are added to the primary headers of kpf objects, which are written to 2D, L1, and L2 FITS files (but not the L0 files, which, with rare exceptions, are not modified after data collection at WMKO). \n", + "The FITS header keywords for QC tests produce are defined in :doc:`data_format`. \n", + "One can find the QC tests on the command line using a command like \n", + "\n", + "``fitsheader -e 0 /data/kpf/L2/20230701/KP.20230701.49940.99_L2.fits | grep QC:``\n", + "\n", "The KPF DRP has several Quality Control (QC) methods that can be run on the L0, 2D, L1, and 2D objects. The QC tests are run during normal processing in the main recipe. The results of these QC checks are added to the primary headers of kpf objects, which are written to 2D, L1, and L2 FITS files (but not the L0 files, which with rare exceptions are not modified after data collection at WMKO). The QC methods are defined in the `QCDefinitions` class in `modules/quality_control/src/quality_control.py`." ] }, @@ -14,7 +30,7 @@ "id": "197ede5c", "metadata": {}, "source": [ - "# List QC Methods\n", + "## List QC Methods\n", "\n", "The FITS header keywords produced by QC tests are defined in KPF Data Format. The `QCDefinitions.list_qc_metrics ()` method produces a list of QC tests and their characteristics (including the primary header keywords), as shown below. Note that some QC tests are applied to multiple KPF data levels and spectrum types." ] @@ -58,7 +74,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m L0_datetime_checks\n", - " \u001b[1mDescription:\u001b[0m Timing consistency in L0 header keywords and Exp Meter table.\n", + " \u001b[1mDescription:\u001b[0m Timing consistency in L0 header keywords and ExpMeter table.\n", " \u001b[1mData levels:\u001b[0m ['L0']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -67,7 +83,7 @@ " \u001b[1mDatabase column:\u001b[0m None\n", "\n", " \u001b[1mQC Name:\u001b[0m exposure_meter_not_saturated_check\n", - " \u001b[1mDescription:\u001b[0m 2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.\n", + " \u001b[1mDescription:\u001b[0m 2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.\n", " \u001b[1mData levels:\u001b[0m ['L0']\n", " \u001b[1mData type:\u001b[0m int\n", " \u001b[1mSpectrum type:\u001b[0m ['all']\n", @@ -271,17 +287,17 @@ }, { "cell_type": "markdown", - "id": "386eef02", + "id": "01f93da8", "metadata": {}, "source": [ - "# Run QC tests for one data level on a single KPF observation\n", + "## Run QC tests for one data level on a single KPF observation\n", "The method `test_all_QCs(kpf_object, data_level)` runs the QC tests on a kpf_object for the stated data_level." ] }, { "cell_type": "code", "execution_count": 2, - "id": "90dfed2a", + "id": "bb0140d3", "metadata": {}, "outputs": [ { @@ -315,17 +331,17 @@ }, { "cell_type": "markdown", - "id": "0e9d17ca", + "id": "23e99e85", "metadata": {}, "source": [ - "# Run all QC tests on all data levels of several KPF observations\n", + "## Run all QC tests on all data levels of several KPF observations\n", "Now loop over data levels and obserations" ] }, { "cell_type": "code", "execution_count": 3, - "id": "cefa5a92", + "id": "2b45a9c7", "metadata": {}, "outputs": [ { @@ -341,9 +357,9 @@ "INFO: Method L0_data_products_check does not exist in qc_obj or another AttributeError occurred: 'KPF0' object has no attribute 'GUIDER_AVG'\n", "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", "INFO: Method L0_datetime_checks does not exist in qc_obj or another AttributeError occurred: 'KPF0' object has no attribute 'GUIDER_AVG'\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", @@ -404,9 +420,9 @@ "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", @@ -473,9 +489,9 @@ "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", @@ -524,9 +540,9 @@ "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", @@ -575,9 +591,9 @@ "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", @@ -644,9 +660,9 @@ "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", @@ -708,9 +724,9 @@ "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", @@ -735,13 +751,7 @@ "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL1 QC tests on KP.20240528.07447.61\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: ThAr\n", "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", @@ -756,7 +766,13 @@ "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL2 QC tests on KP.20240528.07447.61\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n", + "\u001b[1m***********************************\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "INFO: Spectrum type: ThAr\n", "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", @@ -777,9 +793,9 @@ "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", @@ -840,9 +856,9 @@ "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", @@ -867,13 +883,7 @@ "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL1 QC tests on KP.20240528.05681.26\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Etalon\n", "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", @@ -888,7 +898,13 @@ "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL2 QC tests on KP.20240528.05681.26\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n", + "\u001b[1m***********************************\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "INFO: Spectrum type: Etalon\n", "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", @@ -909,9 +925,9 @@ "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", @@ -972,9 +988,9 @@ "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and Exp Meter table.)\n", + "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels are within 90% of saturation in EM-SCI or EM-SKY.)\n", + "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", @@ -999,13 +1015,7 @@ "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL1 QC tests on KP.20240528.07772.51\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: \n", "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", @@ -1020,7 +1030,13 @@ "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", "\n", "\u001b[1mL2 QC tests on KP.20240528.07772.51\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n", + "\u001b[1m***********************************\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "INFO: Spectrum type: \n", "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", @@ -1083,7 +1099,7 @@ { "cell_type": "code", "execution_count": null, - "id": "348ff8d3", + "id": "17ea58ae", "metadata": {}, "outputs": [], "source": [] From 6deaee3917b0b62059b61ea9cb27d0f6d872efa2 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 16:09:13 -0700 Subject: [PATCH 28/84] fixed up toc --- docs/source/index.rst | 1 - 1 file changed, 1 deletion(-) diff --git a/docs/source/index.rst b/docs/source/index.rst index 708ed207a..ece406c2b 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -11,6 +11,5 @@ Welcome! This is the documentation for the KPF Data Reduction Pipeline. develop/start.rst api/api.rst primitives/primitives.rst - info/quality_control.rst tutorials/KPF_Data_Tutorial_L0_and_2D analysis/analysis.rst From 79be5299217db2d8c7dcdd109743726b07e26116 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 16:15:07 -0700 Subject: [PATCH 29/84] File name fix --- docs/source/index.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/index.rst b/docs/source/index.rst index ece406c2b..eea0bc3b9 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -11,5 +11,5 @@ Welcome! This is the documentation for the KPF Data Reduction Pipeline. develop/start.rst api/api.rst primitives/primitives.rst - tutorials/KPF_Data_Tutorial_L0_and_2D + tutorials/KPF_Data_Tutorial_Quality_Control analysis/analysis.rst From 9d1256e3df744f53b0ceeff8aaa73ce2033711de Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 16:46:31 -0700 Subject: [PATCH 30/84] Directly link to Jupyter Notebooks --- docs/source/data_exploration/start.rst | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/docs/source/data_exploration/start.rst b/docs/source/data_exploration/start.rst index b4896f113..addf87a4b 100644 --- a/docs/source/data_exploration/start.rst +++ b/docs/source/data_exploration/start.rst @@ -3,8 +3,6 @@ Opening, Examining, and Manipulating KPF Files ============================================== -The bullet points below are readthedocs representations of Jupyter Notebooks showing how to open, examine, and manipulate files from the KPF DRP. - .. toctree:: :maxdepth: 1 :titlesonly: @@ -13,3 +11,7 @@ The bullet points below are readthedocs representations of Jupyter Notebooks sho tutorial_L1.rst tutorial_L2.rst tutorial_2D_ion_pump.rst + ../tutorials/KPF_Data_Tutorial_L0_and_2D + ../tutorials/KPF_Data_Tutorial_L1 + ../tutorials/KPF_Data_Tutorial_L2_Time_Series + ../tutorials/KPF_Data_Tutorial_2D_and_Ion_Pumps From 31c4ff686748a1cb298165383bece15ad497e128 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 16:47:05 -0700 Subject: [PATCH 31/84] updated ToC level --- .../KPF_Data_Tutorial_Quality_Control.ipynb | 24 +++++++------------ 1 file changed, 8 insertions(+), 16 deletions(-) diff --git a/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb b/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb index 3581630b9..053119578 100644 --- a/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb +++ b/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "9df55880", + "id": "5b4ca3fa", "metadata": {}, "source": [ "# Quality Control" @@ -30,7 +30,7 @@ "id": "197ede5c", "metadata": {}, "source": [ - "## List QC Methods\n", + "### List QC Methods\n", "\n", "The FITS header keywords produced by QC tests are defined in KPF Data Format. The `QCDefinitions.list_qc_metrics ()` method produces a list of QC tests and their characteristics (including the primary header keywords), as shown below. Note that some QC tests are applied to multiple KPF data levels and spectrum types." ] @@ -287,17 +287,17 @@ }, { "cell_type": "markdown", - "id": "01f93da8", + "id": "867e8ce6", "metadata": {}, "source": [ - "## Run QC tests for one data level on a single KPF observation\n", + "### Run QC tests for one data level on a single KPF observation\n", "The method `test_all_QCs(kpf_object, data_level)` runs the QC tests on a kpf_object for the stated data_level." ] }, { "cell_type": "code", "execution_count": 2, - "id": "bb0140d3", + "id": "7f5c2637", "metadata": {}, "outputs": [ { @@ -331,17 +331,17 @@ }, { "cell_type": "markdown", - "id": "23e99e85", + "id": "0b635240", "metadata": {}, "source": [ - "## Run all QC tests on all data levels of several KPF observations\n", + "### Run all QC tests on all data levels of several KPF observations\n", "Now loop over data levels and obserations" ] }, { "cell_type": "code", "execution_count": 3, - "id": "2b45a9c7", + "id": "7e7a0b43", "metadata": {}, "outputs": [ { @@ -1095,14 +1095,6 @@ "# prevent scrolling in the resulting Notebook cell\n", "display(HTML(\"\"))" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "17ea58ae", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { From 02a367eecf209a169bde4f250ab36f1774bc5c1d Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 16:54:21 -0700 Subject: [PATCH 32/84] updated ToC --- .../KPF_Data_Tutorial_L0_and_2D.ipynb | 48 +++++++++++-------- 1 file changed, 28 insertions(+), 20 deletions(-) diff --git a/docs/source/tutorials/KPF_Data_Tutorial_L0_and_2D.ipynb b/docs/source/tutorials/KPF_Data_Tutorial_L0_and_2D.ipynb index a9166dcd7..3278dd476 100644 --- a/docs/source/tutorials/KPF_Data_Tutorial_L0_and_2D.ipynb +++ b/docs/source/tutorials/KPF_Data_Tutorial_L0_and_2D.ipynb @@ -1,11 +1,19 @@ { "cells": [ + { + "cell_type": "markdown", + "id": "5a251b34", + "metadata": {}, + "source": [ + "# L0/2D Files: Reading and Examining the Data Products" + ] + }, { "cell_type": "markdown", "id": "874cf8c2", "metadata": {}, "source": [ - "# Import Packages" + "## Import Packages" ] }, { @@ -31,7 +39,7 @@ "id": "b7481710", "metadata": {}, "source": [ - "# Define Directories and Filenames\n", + "## Define Directories and Filenames\n", "One needs to have the L0 file KP.20240422.48942.23.fits and the 2D file KP.20240422.48942.23_2D.fits in the `/data/L0/` or `/data/2D/` directories, respectively. These files can be downloaded from the Keck Observatory Archive (KOA), or, for those participating in the California Planet Search (CPS), using the Jump portal or shrek.caltech.edu. One can also modify the code below to work with other files or paths." ] }, @@ -63,7 +71,7 @@ "id": "544a5262", "metadata": {}, "source": [ - "# Open File and Show Information\n", + "## Open File and Show Information\n", "Note that there are exensions for:\n", " * Header keywords (PRIMARY)\n", " * Built-in extensions related to the data reduction pipeline (RECEIPT and CONFIG)\n", @@ -145,7 +153,7 @@ "id": "1fbd2b16", "metadata": {}, "source": [ - "# Primary Extension (header keywords)\n", + "## Primary Extension (header keywords)\n", "Here is a list of keywords. Later data products (2D, L1, L2 add keywords to this list)" ] }, @@ -579,8 +587,8 @@ "GCCD1_2Y= -1.12321E-05 / [deg] Az per pixel in y Kwd guide CD1_2Y \n", "GCCD2_1Y= -1.12321E-05 / [deg] El per pixel in x Kwd guide CD2_1Y \n", "GCCD2_2Y= 1.15502E-05 / [deg] El per pixel in y Kwd guide CD2_2Y \n", - "DRPTAG = 'v2.6.1 ' \n", - "DRPHASH = '179cfe5bdc9b793bc480e1a511ff5e2def1b9379' \n", + "DRPTAG = 'v2.7.1 ' \n", + "DRPHASH = '9f75131b54e92561d83c19b303737362146a360a' \n", "COMMENT \n", "COMMENT ------------------------------------------------------------------------\n", "COMMENT End of keyheader output \n", @@ -615,7 +623,7 @@ "id": "d8cb534f", "metadata": {}, "source": [ - "# Extract Keywords\n", + "## Extract Keywords\n", "Here we extra the name of the target star and the exposure time and assign them to variables." ] }, @@ -656,7 +664,7 @@ "id": "a8d9e0fd", "metadata": {}, "source": [ - "# Green CCD\n", + "## Green CCD\n", "There are two halves or four quadrants in the green CCD with separate extensions (depending on the read most; KPF has been operating in two-amplifier mode with the Green CCD since mid-2023). Let's plot one of them." ] }, @@ -706,7 +714,7 @@ "id": "1e33cb61", "metadata": {}, "source": [ - "# Red CCD\n", + "## Red CCD\n", "There are two halves for the Red CCD (when read out in 2-amplifier mode). Let's plot one of them" ] }, @@ -756,7 +764,7 @@ "id": "0fef6f2b", "metadata": {}, "source": [ - "# 2D File\n", + "## 2D File\n", "The 2D file is similar to L0 except that the image segments of the green and red CCDs have been assembled (prescan and overcal removed) and bias has been subtracted. Note that this example uses the from_fits() method from the KPF DRP." ] }, @@ -864,7 +872,7 @@ "id": "c9cec7fe", "metadata": {}, "source": [ - "# Exposure Meter\n", + "## Exposure Meter\n", "Back in the L0 file, there are extensions for the EM SCI and EM SKY fibers. The example below is for EM SCI, but EM SKY is similar. Here we create a Pandas data frame with the spectral time series. Each row is a spectrum for light collected between Date-Beg and Date-End. This example uses the from_fits() method of the KPF DRP to read the L0 file. If one uses the Astropy from_fits() method, then the EM SCI data frame can be created using `df_SCI_EM = Table.read(L0_file, format='fits',hdu='EXPMETER_SCI').to_pandas()`." ] }, @@ -1272,7 +1280,7 @@ "id": "dea6829e", "metadata": {}, "source": [ - "# Convert Exposure Meter Data into Flux Measurements" + "## Convert Exposure Meter Data into Flux Measurements" ] }, { @@ -1322,7 +1330,7 @@ "id": "8c52f9fc", "metadata": {}, "source": [ - "# Plot EM SCI Spectrum" + "## Plot EM SCI Spectrum" ] }, { @@ -1365,7 +1373,7 @@ "id": "b813282b", "metadata": {}, "source": [ - "# Plot EM SCI Time Series" + "## Plot EM SCI Time Series" ] }, { @@ -1406,7 +1414,7 @@ "id": "426df078", "metadata": {}, "source": [ - "# Plot Fraction of Flux Time Series in Each Color Bin\n", + "## Plot Fraction of Flux Time Series in Each Color Bin\n", "This is a measure of the ADC performance." ] }, @@ -1453,7 +1461,7 @@ "id": "d154a953", "metadata": {}, "source": [ - "# Telemetry\n", + "## Telemetry\n", "Each KPF L0 file contains telemetry on >100 sensors or state values with average, standard deviation, minimum, and maximum values listed." ] }, @@ -3389,7 +3397,7 @@ "id": "81db59c1", "metadata": {}, "source": [ - "# Guider Image\n", + "## Guider Image\n", "The guide camera images are from a CRED-2 camera with 0.056 arcsec pixels in a 950-1200nm passband (approximately z+J band). First, we will fit the image with a Moffat function (assuming a point source)." ] }, @@ -3448,7 +3456,7 @@ "id": "ff39df68", "metadata": {}, "source": [ - "# Plot Guider Image and Model Fit" + "## Plot Guider Image and Model Fit" ] }, { @@ -3564,7 +3572,7 @@ "id": "64e77b06", "metadata": {}, "source": [ - "# Examine and Plot Guider Performance Time Series" + "## Examine and Plot Guider Performance Time Series" ] }, { @@ -4034,7 +4042,7 @@ "id": "075ecd3c", "metadata": {}, "source": [ - "# Plot Flux Time Series from Guider and Exposure Meter" + "## Plot Flux Time Series from Guider and Exposure Meter" ] }, { From f350f114c9e29d7fed5f5e2a1269fd4b674d62af Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 17:11:10 -0700 Subject: [PATCH 33/84] updated ToC --- .../KPF_Data_Tutorial_2D_and_Ion_Pumps.ipynb | 28 +- .../KPF_Data_Tutorial_L0_and_2D.ipynb | 2 +- .../tutorials/KPF_Data_Tutorial_L1.ipynb | 18 +- .../tutorials/KPF_Data_Tutorial_L2.ipynb | 1179 +++++++++++++++++ 4 files changed, 1207 insertions(+), 20 deletions(-) create mode 100644 docs/source/tutorials/KPF_Data_Tutorial_L2.ipynb diff --git a/docs/source/tutorials/KPF_Data_Tutorial_2D_and_Ion_Pumps.ipynb b/docs/source/tutorials/KPF_Data_Tutorial_2D_and_Ion_Pumps.ipynb index 65b7a0628..98a7a91bf 100644 --- a/docs/source/tutorials/KPF_Data_Tutorial_2D_and_Ion_Pumps.ipynb +++ b/docs/source/tutorials/KPF_Data_Tutorial_2D_and_Ion_Pumps.ipynb @@ -1,12 +1,20 @@ { "cells": [ + { + "cell_type": "markdown", + "id": "b8f5b144", + "metadata": {}, + "source": [ + "# Example: 2D Files and Ion Pump Diagnostics" + ] + }, { "cell_type": "markdown", "id": "55980bd5", "metadata": {}, "source": [ "This notebook demonstrates how to read in 2D KPF files, do basic image manipulations, and measure photometry. It was designed to measure a dark-current-like signal from the ion pumps.\n", - "# Import Packages" + "## Import Packages" ] }, { @@ -32,7 +40,7 @@ "id": "6f7807da", "metadata": {}, "source": [ - "# Define parameters\n", + "## Define parameters\n", "Different example exposures can be selected below." ] }, @@ -69,7 +77,7 @@ "id": "fee850db", "metadata": {}, "source": [ - "# Read 2D image and telemetry" + "## Read 2D image and telemetry" ] }, { @@ -104,7 +112,7 @@ "id": "32037d93", "metadata": {}, "source": [ - "# Define apertures, measure photometry, and plot CCD images" + "## Define apertures, measure photometry, and plot CCD images" ] }, { @@ -123,7 +131,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", "text/plain": [ "
" ] @@ -272,14 +280,6 @@ "* There are apertures for the two ion pumps per CCD. Two apertures placed symmetrically on the left edge of the CCDs are for reference. Also for reference are the four apertures in the middle of each chip, one per quadrant (which have separate amplifiers, at least on the green CCD).\n", "* Cosmic rays are not being subtracted, but should." ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c5735387", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/docs/source/tutorials/KPF_Data_Tutorial_L0_and_2D.ipynb b/docs/source/tutorials/KPF_Data_Tutorial_L0_and_2D.ipynb index 3278dd476..83c253b4b 100644 --- a/docs/source/tutorials/KPF_Data_Tutorial_L0_and_2D.ipynb +++ b/docs/source/tutorials/KPF_Data_Tutorial_L0_and_2D.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "5a251b34", + "id": "0c2ad84d", "metadata": {}, "source": [ "# L0/2D Files: Reading and Examining the Data Products" diff --git a/docs/source/tutorials/KPF_Data_Tutorial_L1.ipynb b/docs/source/tutorials/KPF_Data_Tutorial_L1.ipynb index 1427b4ec0..f573233d2 100644 --- a/docs/source/tutorials/KPF_Data_Tutorial_L1.ipynb +++ b/docs/source/tutorials/KPF_Data_Tutorial_L1.ipynb @@ -1,11 +1,19 @@ { "cells": [ + { + "cell_type": "markdown", + "id": "7f3c3dc1", + "metadata": {}, + "source": [ + "# L1 Files: Reading and Examining the Data Products" + ] + }, { "cell_type": "markdown", "id": "4d4a902e", "metadata": {}, "source": [ - "# Import Packages" + "## Import Packages" ] }, { @@ -30,7 +38,7 @@ "id": "5a8d307c", "metadata": {}, "source": [ - "# Define Directories and Filenames\n", + "## Define Directories and Filenames\n", "One needs to have the L0 file KP.20221112.26598.92_L1.fits in the data/ directory of the folder from which this notebook is running. This file can be downloaded from Jump or shrek.caltech.edu. One can also modify the code below to work with other files or paths." ] }, @@ -51,7 +59,7 @@ "id": "03b66f55", "metadata": {}, "source": [ - "# Open File and Show Information\n", + "## Open File and Show Information\n", "Note that there are exensions for:\n", " * Header keywords (PRIMARY) - all of the header keywords from the corrssponding L0 file plus ones created during DRP processin that produced the L1\n", " * The receipt detailing the DRP operations that produced this L1 file (RECEIPT)\n", @@ -183,7 +191,7 @@ "id": "2cc89963", "metadata": {}, "source": [ - "# Receipt\n", + "## Receipt\n", "The receipt is a FITS binary table that is converted below to a Pandas dataframe. The receipt contains a time-ordered list of DRP modules and associated parameteres that were used to produce the L1 file as well as other related information" ] }, @@ -569,7 +577,7 @@ "id": "ef3338a1", "metadata": {}, "source": [ - "# Extracted Spectra\n", + "## Extracted Spectra\n", "We will start by plotting spectra from the SCI2 trace on both CCDs" ] }, diff --git a/docs/source/tutorials/KPF_Data_Tutorial_L2.ipynb b/docs/source/tutorials/KPF_Data_Tutorial_L2.ipynb new file mode 100644 index 000000000..339d1788a --- /dev/null +++ b/docs/source/tutorials/KPF_Data_Tutorial_L2.ipynb @@ -0,0 +1,1179 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d8cb4273", + "metadata": {}, + "source": [ + "# L2 Files: Examining the Data Products" + ] + }, + { + "cell_type": "markdown", + "id": "596edb6b", + "metadata": {}, + "source": [ + "## Import Packages" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "bd8e6835", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: h5py in /usr/local/lib/python3.6/site-packages (3.1.0)\n", + "Requirement already satisfied: cached-property in /usr/local/lib/python3.6/site-packages (from h5py) (1.5.2)\n", + "Requirement already satisfied: numpy>=1.12 in /usr/local/lib/python3.6/site-packages (from h5py) (1.19.5)\n", + "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/usr/local/lib/python3.6/site-packages/radvel/gp.py:33: ImportWarning: celerite not installed. GP kernals using celerite will not work. Try installing celerite using 'pip install celerite'\n", + " Try installing celerite using 'pip install celerite'\", ImportWarning)\n" + ] + } + ], + "source": [ + "from astropy.io import fits\n", + "from astropy.time import Time\n", + "from astropy.table import Table\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "!pip install h5py # needed for emcee, which is needed for radvel\n", + "from radvel.utils import timebin # needed for timebinning" + ] + }, + { + "cell_type": "markdown", + "id": "5a8d307c", + "metadata": {}, + "source": [ + "## Define Directories and Filenames\n", + "One needs to have the L2 files kusted bekiw in the data directory of the folder from which this notebook is running. This file can be downloaded from Jump or shrek.caltech.edu. One can also modify the code below to work with other files or paths. The example below is a ~1.5-hour time series on Tau Ceti (HD 10700)." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "932a3b78", + "metadata": {}, + "outputs": [], + "source": [ + "L2_data_dir = '/data/L2/20230110/'\n", + "\n", + "# Time series of observations of 10700 (Tau Ceti) from Jan. 10, 2023\n", + "ObsIDs = ['KP.20230110.16623.72',\n", + " 'KP.20230110.16803.31',\n", + " 'KP.20230110.16986.84',\n", + " 'KP.20230110.17094.84',\n", + " 'KP.20230110.17186.85',\n", + " 'KP.20230110.17279.12',\n", + " 'KP.20230110.17371.41',\n", + " 'KP.20230110.17463.29',\n", + " 'KP.20230110.17580.34',\n", + " 'KP.20230110.17672.60',\n", + " 'KP.20230110.17764.89',\n", + " 'KP.20230110.17856.97',\n", + " 'KP.20230110.17949.22',\n", + " 'KP.20230110.18179.54',\n", + " 'KP.20230110.18271.75',\n", + " 'KP.20230110.18363.65',\n", + " 'KP.20230110.18455.80',\n", + " 'KP.20230110.18547.96',\n", + " 'KP.20230110.18640.14',\n", + " 'KP.20230110.18732.02',\n", + " 'KP.20230110.18823.97',\n", + " 'KP.20230110.18916.31',\n", + " 'KP.20230110.19440.98', # one skipped bad frame above\n", + " 'KP.20230110.19533.16',\n", + " 'KP.20230110.19625.30',\n", + " 'KP.20230110.19717.19',\n", + " 'KP.20230110.19809.15',\n", + " 'KP.20230110.19901.19',\n", + " 'KP.20230110.19993.43',\n", + " 'KP.20230110.20085.43',\n", + " 'KP.20230110.20177.43',\n", + " 'KP.20230110.20377.95',\n", + " 'KP.20230110.20470.20',\n", + " 'KP.20230110.20562.48',\n", + " 'KP.20230110.20654.18',\n", + " ]" + ] + }, + { + "cell_type": "markdown", + "id": "a31d1c0e", + "metadata": {}, + "source": [ + "## Open File and List Extensions" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "247746e7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Filename: /data/L2/20230110/KP.20230110.16623.72_L2.fits\n", + "No. Name Ver Type Cards Dimensions Format\n", + " 0 PRIMARY 1 PrimaryHDU 324 () \n", + " 1 RECEIPT 1 BinTableHDU 29 2R x 10C [26A, 6A, 6A, 40A, 3A, 14A, 1A, 43A, 71A, 4A] \n", + " 2 CONFIG 1 BinTableHDU 13 0R x 2C [D, D] \n", + " 3 TELEMETRY 1 BinTableHDU 26 116R x 7C [35A, 11A, 11A, 8A, 8A, 14A, 67A] \n", + " 4 GREEN_CCF 1 ImageHDU 22 (804, 35, 5) float64 \n", + " 5 RED_CCF 1 ImageHDU 22 (804, 32, 5) float64 \n", + " 6 GREEN_CCF_RW 1 ImageHDU 22 (804, 35, 5) float64 \n", + " 7 RED_CCF_RW 1 ImageHDU 22 (804, 32, 5) float64 \n", + " 8 RV 1 BinTableHDU 88 67R x 21C [D, D, D, D, D, K, K, D, D, D, D, D, D, D, D, 15A, 15A, 15A, 14A, 14A, D] \n", + " 9 ACTIVITY 1 BinTableHDU 9 0R x 0C [] \n" + ] + } + ], + "source": [ + "L2 = fits.open(L2_data_dir + ObsIDs[0] + '_L2.fits')\n", + "L2.info()" + ] + }, + { + "cell_type": "markdown", + "id": "1ea6b300", + "metadata": {}, + "source": [ + "## Primary Extension (header keywords)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "e62fb0c0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "SIMPLE = T / conforms to FITS standard \n", + "BITPIX = 8 / array data type \n", + "NAXIS = 0 / number of array dimensions \n", + "EXTEND = T \n", + "FAVER = '0 ' / Written by FITSAssemble version 1.3 \n", + "TIMESYS = 'UTC ' \n", + "CAMERAS = 3 / Detectors in assembly request \n", + "GREEN = 'YES ' / Was this camera found? \n", + "RED = 'YES ' / Was this camera found? \n", + "CA_HK = 'NO ' / Was this camera found? \n", + "EXPMETER= 'YES ' / Was this camera found? \n", + "DATE-MID= '2023-01-10T04:37:19.484' / Halfway point of the exposure, unweighted \n", + "COMMENT ------------------------------------------------------------------------\n", + "COMMENT Location: /kroot/rel/default/bin/keyheader \n", + "COMMENT Configuration: /kroot/rel/default/data/kpfheaders/keyheader.conf \n", + "COMMENT Hostname: kpfserver \n", + "COMMENT Header generation start time: 2023-01-10T04:38:33.225263Z \n", + "COMMENT ------------------------------------------------------------------------\n", + "COMMENT \n", + "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", + "COMMENT keyheader section [ExposureBegin] \n", + "COMMENT Snapshot timestamp: 2023-01-10T04:37:03.822048Z \n", + "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", + "COMMENT \n", + "DATE-OBS= '2023-01-10' / Date dcs1.DATE \n", + "UT = '04:37:03.57' / DCS Universal Time \n", + "DATE-BEG= '2023-01-10T04:37:03.722048' / Start of exposure from kpfexpose \n", + "EXPTIME = 30.0 / Requested exposure time \n", + "PROGNAME= 'E328 ' / Program name from kpfexpose \n", + "OBSERVER= 'Fulton,Halverson,Howard,Isaacson,Petigura,Walawender,Weiss,Yeh' / Obs\n", + "OBJECT = '10700 ' / Object \n", + "INSTRUME= 'KPF ' / Instrument Name \n", + "DATALVL = '2 ' / Data Product Base Level \n", + "OBSERVAT= 'KECK ' / Observatory name \n", + "OBSMODE = 'SPEC ' / Basic mode of observation \n", + "HEADVER = '122650 ' / Header config version \n", + "CURRINST= 'KPF ' / Selected instrument \n", + "TELESCOP= 'Keck I ' / Telescope \n", + "TARGNAME= '10700 ' / DCS Target name \n", + "TARGRA = '01:44:01.40' / [h] DCS Target RA \n", + "TARGDEC = '-15:55:55.0' / [deg] DCS Target Dec \n", + "TARGEPOC= 2000.0 / DCS Target epoch \n", + "TARGEQUI= 2000.0 / DCS Target equinox \n", + "TARGPLAX= 0.0 / [arcsec] target parallax \n", + "TARGPMDC= 0.0 / [arcsec/yr] target proper motion dec \n", + "TARGPMRA= 0.0 / [s/yr] target proper motion ra \n", + "TARGRADV= -16.597 / [km/s] target radial velocity \n", + "TARGWAVE= 0.65 / target-wavelength \n", + "TARGFRAM= 'FK5 ' / target-frame \n", + "RA = '01:44:01.40' / [h] Right ascension \n", + "DEC = '-15:55:55.0' / [deg] Declination \n", + "EQUINOX = 2000.0 / DCS Equinox \n", + "MJD-OBS = 59954.192402 / Modified Julian day \n", + "PMFM = 0.0 / PMFM value \n", + "OCTAGON = 'LFCFiber' / selected octagon value \n", + "CALMON = 'Out ' / Calibration intensity monitor position \n", + "HATCH = 'Open ' / Status of the hatch on the exterior of the FIU \n", + "FIUMODE = 'None ' / FIU operating mode \n", + "FOLDNAM = 'Out ' / Named Position of FIU Fold mirror \n", + "FOLDVAL = 24.7 / [mm] Position of FIU Fold mirror \n", + "ADCTRACK= 'On ' / Is the ADC Tracking \n", + "HCLSN = '' / S/N of lamp in use \n", + "CAREQ = 'No ' / Ca HK fibers (6,7) requested \n", + "EXPSCREQ= 'Yes ' / ExpM Science fiber (8ab) requested \n", + "FFREQ = 'No ' / Flatfield fiber (10ab) requested \n", + "FICALREQ= 'No ' / FIU Cal fibers (4,5) requested \n", + "SICALREQ= 'Yes ' / SimCal fiber (3ab) requested \n", + "VACSCREQ= 'Yes ' / Vac Sci fiber (1b) requested \n", + "VACSKREQ= 'Yes ' / Vac Sci fiber (2b) requested \n", + "THDAYON = '20230109T14:45:02 HST' / ThAr Daily was last turned on at this time \n", + "THDAYTON= 3173.9 / ThAr Daily has been on for this long \n", + "THAUON = '20221228T10:54:05 HST' / ThAr Gold was last turned on at this time \n", + "THAUTON = 64.90000000000001 / ThAr Gold has been on for this long \n", + "UDAYON = '20230109T15:38:52 HST' / UNe Daily was last turned on at this time \n", + "UDAYTON = 2611.9 / UNe Daily has been on for this long \n", + "UAUON = '19691231T14:00:00 HST' / UNe Gold was last turned on at this time \n", + "UAUTON = 0.0 / UNe Gold has been on for this long \n", + "COMMENT \n", + "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", + "COMMENT keyheader section [heartbeats] \n", + "COMMENT Snapshot timestamp: 2023-01-10T04:37:03.822048Z \n", + "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", + "COMMENT \n", + "COMMENT Data not available for keyword 'heart_12' \n", + "COMMENT Any value above other than 'Heartbeat active' indicates \n", + "COMMENT the keyword history daemon was not capturing data from \n", + "COMMENT the affected service as of the snapshot timestamp. \n", + "COMMENT \n", + "COMMENT ------------------------------------------------------------------------\n", + "COMMENT End of keyheader output \n", + "COMMENT Header generation start time: 2023-01-10T04:38:33.225263Z \n", + "COMMENT Header generation end time: 2023-01-10T04:38:33.422198Z \n", + "COMMENT ------------------------------------------------------------------------\n", + "COMMENT ------------------------------------------------------------------------\n", + "COMMENT Location: /kroot/rel/default/bin/keyheader \n", + "COMMENT Configuration: /kroot/rel/default/data/kpfheaders/keyheader.conf \n", + "COMMENT Hostname: kpfserver \n", + "COMMENT Header generation start time: 2023-01-10T04:38:34.544577Z \n", + "COMMENT ------------------------------------------------------------------------\n", + "COMMENT \n", + "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", + "COMMENT keyheader section [ExposureMiddle] \n", + "COMMENT Snapshot timestamp: 2023-01-10T04:37:19.483524Z \n", + "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", + "COMMENT \n", + "SRCSHTTR= 'SciSelect,SkySelect' / Source shutters commanded for exposure \n", + "TIMSHTTR= 'Scrambler,SimulCal' / Timed shutters commanded for exposure \n", + "OTIMSHTR= 'Scrambler,SimulCal' / Timed shutters open at exposure midpoint \n", + "SCISEL = 'open ' / Science Select shutter at exposure midpoint \n", + "SKYSEL = 'open ' / Sky Select Shutter at exposure midpoint \n", + "FFSHTR = 'closed ' / Flat field fiber shutter at exposure midpoint \n", + "SCRAMSHT= 'open ' / Scrambler shutter at exposure midpoint \n", + "SIMCALSH= 'open ' / Simult Cal shutter at exposure midpoint \n", + "TRIGTARG= 'Green,Red,ExpMeter' / Cameras that were sent triggers \n", + "IMTYPE = 'Object ' / Image Type \n", + "CAL-OBJ = 'LFCFiber' / Calibration fiber source \n", + "SKY-OBJ = 'Sky ' / Sky fiber source \n", + "SCI-OBJ = 'Target ' / Science fiber source \n", + "CAFBS = 'No ' / Ca HK fibers (6,7) on \n", + "EXPSCIFB= 'Yes ' / ExpM Science fiber (8ab) on \n", + "EXPSKYFB= 'Yes ' / ExpM Science fiber (9) on \n", + "FFFB = 'No ' / Flatfield fiber (10ab) on \n", + "FICALFBS= 'No ' / FIU Cal fibers (4,5) on \n", + "SICALFB = 'Yes ' / SimCal fiber (3ab) on \n", + "VACSCFB = 'Yes ' / Vac Sci fiber (1b) on \n", + "VACSKFB = 'Yes ' / Vac Sci fiber (2b) on \n", + "SCIFB = 'Yes ' / Science fiber (1a) on \n", + "SKYFB = 'Yes ' / Sky fiber (2a) on \n", + "GRACFMD5= 'unknown ' / Green MD5 sum for the acf file \n", + "GRACFFLN= '-default-' / Green acf file loaded \n", + "RDACFMD5= 'unknown ' / Red MD5 sum for the acf file \n", + "RDACFFLN= '-default-' / Red acf file loaded \n", + "AGITSTA = 'Running ' / Agitator status kpfmot.AGITATOR \n", + "THARGD = 'Off ' / Gold ThAr power status \n", + "UNEGD = 'Off ' / Gold UNe power status \n", + "THARDAY = 'Off ' / Daily ThAr power status \n", + "UNEDAY = 'Off ' / Daily UNe power status \n", + "OCTBB = 'Off ' / Octagon broad band power status \n", + "FFSOURCE= 'Off ' / Flat field broad band power status \n", + "SCIFBILL= 'Off ' / Science fiber LED back illuminator power \n", + "SKYFBILL= 'Off ' / Sky fiber LED back illuminator power \n", + "HKFBILL = 'Off ' / Ca H and K fiber LED back illuminator power \n", + "EXPFBILL= 'Off ' / Exposure meter fiber LED back illuminator power\n", + "SSCALFW = 'OD 3.0 ' / Sci/Cal FW Position \n", + "SIMCALFW= 'OD 0.1 ' / Simual Cal FW Position \n", + "FFFW = 'Blank ' / Flatfield FW Position \n", + "OCTAGON = 'LFCFiber' / selected octagon value \n", + "PRES = 622.947 / [hPa] Pressure at Vaisala kpfmet.PRES \n", + "RELH = 12.901 / Relative humidity at Vaisala kpfmet.RELH \n", + "PONAME = 'KPF ' / DCS Point origin name \n", + "PONAME1 = 'Opt Axis' / DCS Point origin name1 \n", + "DRA = 0.0 / [s/s] DCS Diff RA rate \n", + "DDEC = 0.0 / [asec/s] DCS Diff Dec rate \n", + "RABASE = '01:44:01.40' / DCS RA base \n", + "RAOFF = 0.0 / [asec] DCS RA offset \n", + "DECBASE = '-15:55:55.0' / DCS Dec base \n", + "DECOFF = 0.0 / [asec] DCS Dec offset \n", + "HA = '+23:49:11.92' / DCS Hour angle \n", + "AIRMASS = 1.23 / DCS Airmass \n", + "PARANG = -4.85 / [deg] DCS Parallactic angle astrometric \n", + "PARANTEL= -4.9 / [deg] DCS Parallactic angle telescope \n", + "EL = 54.24 / [deg] DCS Elevation \n", + "AZ = 175.08 / [deg] DCS Azimuth \n", + "LST = '01:33:13.32' / DCS Local sidereal time \n", + "AXESTAT = 'tracking' / DCS axes control status \n", + "TRACKING= 'yes ' / DCS Servos tracking status \n", + "DTRACK = 'disabled' / DCS differential tracking status \n", + "GUIDING = 'true ' / DCS Guiding status \n", + "AUTACTIV= 'yes ' / DCS Guider active \n", + "AUTFWHM = 0.6079830000000001 / [pix] DCS Guider fwhm \n", + "AUTXCENT= 0.0 / [asec] DCS Guider x centroid \n", + "AUTYCENT= 0.0 / [asec] DCS Guider y centroid \n", + "SECFOCUS= -2.11 / [mm] Secondary focus \n", + "TELFOCUS= -1.499 / [mm] Telescope focus \n", + "TUBEFLEX= -13.3 / [arcsec] Telescope tube flexure \n", + "TUBETEMP= 2.39 / [degC] Telescope tube temperature \n", + "PRIMTEMP= 2.042575 / [degC] Telescope pri temperature \n", + "SECMTEMP= 2.169584 / [degC] Telescope sec temperature \n", + "DIFFPTDW= 31.742575 / [decC] Diff between pri mirro temp dewpt \n", + "DIFFSTDW= 31.769584 / [decC] Diff between sec mirro temp dewpt \n", + "VIGNETTE= 'false ' / dome vignette (t/f) \n", + "STVIGNE = 'false ' / top shutter vignette (t/f) \n", + "SBVIGNE = 'false ' / bottom shutter vignette (t/f) \n", + "SBELEV = 23.98 / [deg] bottom shutter elevation \n", + "STELEV = 104.01 / [deg] top shutter elevation \n", + "SECSTST = 'INPOS ' / DCS Secondary status string \n", + "SECTHETX= -462.6 / [asec] DCS Secondary theta x \n", + "SECTHETY= 123.8 / [asec] DCS Secondary theta y \n", + "TERTSTST= 'INPOS ' / DCS Tertiary status string \n", + "TERTDEST= 'lnas ' / DCS Tertiary user destination \n", + "TERTPOSN= 'lnas ' / DCS Tertiary user position \n", + "DOMEPOSN= 174.78 / DCS Dome user position \n", + "DOMESTST= 'TRACK ' / DCS Dome status string \n", + "CALOCAL = -27.4 / collimation-azimuth-local \n", + "CELOCAL = 16.5 / collimation-elevation-local \n", + "FOCALSTN= 'lnas (left nasmyth)' / focal-station \n", + "INSTANGL= 312.0 / porg-to-instrument angle \n", + "POXPOS = 0.4 / pointing-origin-x-position \n", + "POYPOS = -0.8 / pointing-origin-y-position \n", + "ROTCALAN= 0.0 / rotator-calibration-angle \n", + "ROTZERO = 0.0 / rotator-zero-angle \n", + "GUIDWAVE= 0.63 / guidestar-wavelength \n", + "TIMEERR = 'ok 2 1 {NTP time correct to within 1 ms}' / resp from time serv \n", + "COMMENT \n", + "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", + "COMMENT keyheader section [heartbeats] \n", + "COMMENT Snapshot timestamp: 2023-01-10T04:37:19.483524Z \n", + "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", + "COMMENT \n", + "COMMENT Data not available for keyword 'heart_12' \n", + "COMMENT Any value above other than 'Heartbeat active' indicates \n", + "COMMENT the keyword history daemon was not capturing data from \n", + "COMMENT the affected service as of the snapshot timestamp. \n", + "COMMENT \n", + "COMMENT ------------------------------------------------------------------------\n", + "COMMENT End of keyheader output \n", + "COMMENT Header generation start time: 2023-01-10T04:38:34.544577Z \n", + "COMMENT Header generation end time: 2023-01-10T04:38:34.820641Z \n", + "COMMENT ------------------------------------------------------------------------\n", + "COMMENT ------------------------------------------------------------------------\n", + "COMMENT Location: /kroot/rel/default/bin/keyheader \n", + "COMMENT Configuration: /kroot/rel/default/data/kpfheaders/keyheader.conf \n", + "COMMENT Hostname: kpfserver \n", + "COMMENT Header generation start time: 2023-01-10T04:38:35.952646Z \n", + "COMMENT ------------------------------------------------------------------------\n", + "COMMENT \n", + "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", + "COMMENT keyheader section [ExposureEnd] \n", + "COMMENT Snapshot timestamp: 2023-01-10T04:37:35.145000Z \n", + "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", + "COMMENT \n", + "DATE = '2023-01-10T04:37:33.739466' / End of exposure from kpfexpose.ENDTIME \n", + "DATE-END= '2023-01-10T04:37:33.739466' / End of exposure from kpfexpose.ENDTIME \n", + "ELAPSED = 30.0 / Actual exposure time from kpfexpose.ELAPSED \n", + "OUTDIR = '/sdata1701/kpfdev/L0' / Output directory for file in OFNAME \n", + "OFNAME = 'KP.20230110.16623.72.fits' / Filename of output file \n", + "GREENFN = '/s/sdata1701/kpfeng/2023jan09/Green/kpf_23060.fits' \n", + "REDFN = '/s/sdata1701/kpfeng/2023jan09/Red/kpf_red_23060.fits' \n", + "EXPMETFN= '/s/sdata1701/kpfeng/2023jan09/ExpMeter/kpf_em_23060.fits' \n", + "FRAMENO = 23060 \n", + "GRCAMD_V= 'Nov 9 2022 09:50:15' / camerad build date Kwd green CAMD_VER \n", + "GREXPTI = 0 / exposure time in msec Kwd green EXPTIME \n", + "GRFILENA= 'kpf_23060.fits' / this filename Kwd green FILENAME \n", + "GRFIRMWA= '/kroot/rel/default/data/kpfgreen/ACF/kpfGreen.20220513-0519.acf' / co\n", + "GRHDRSHI= 0 / number of HDR right-shift bits Kwd green HDRSHI\n", + "GRSHUTT = T / shutter was enabled Kwd green SHUTTEN \n", + "GRTM_ZO = 'GMT ' / time zone Kwd green TM_ZONE \n", + "GRCDS0 = '#eval CDump - 417' / Kwd green CDS0 \n", + "GRCDS1 = '#eval CDump - 1' / Kwd green CDS1 \n", + "GRCDS2 = '#eval PixelT - 417' / Kwd green CDS2 \n", + "GRCDS3 = 950 / Kwd green CDS3 \n", + "GRTEST = 123 / test fitskey from modes file Kwd green TEST \n", + "GRDATE = '2023-01-10T04:38:31.844154' / FITS file write time Kwd green DATE \n", + "GROBSERV= 'Fulton,Halverson,Howard,Isaacson,Petigura,Walawender,Weiss,Yeh' / Obs\n", + "GRPROGNA= 'E328 ' / Program name Kwd green PROGNAME \n", + "GRFRAME = 23060 / Kwd green FRAMENO \n", + "GRDATE-B= '2023-01-10T04:37:03.722048' / Shutter-open time Kwd green DATE-BEG \n", + "GRDATE-E= '2023-01-10T04:37:33.739466' / Shutter-close time Kwd green DATE-END \n", + "GRELAPS = 30.017 / Shutter-elapsed time Kwd green ELAPSED \n", + "RDCAMD_V= 'Nov 9 2022 09:50:15' / camerad build date Kwd red CAMD_VER \n", + "RDEXPTI = 0 / exposure time in msec Kwd red EXPTIME \n", + "RDFILENA= 'kpf_red_23060.fits' / this filename Kwd red FILENAME \n", + "RDFIRMWA= '/kroot/rel/default/data/kpfred/ACF/kpf_200kHz_2amp.acf' / controller \n", + "RDHDRSHI= 0 / number of HDR right-shift bits Kwd red HDRSHIFT\n", + "RDSHUTT = T / shutter was enabled Kwd red SHUTTEN \n", + "RDTM_ZO = 'GMT ' / time zone Kwd red TM_ZONE \n", + "RDCDS0 = '#eval CDump - 160' / Kwd red CDS0 \n", + "RDCDS1 = '#eval CDump - 1' / Kwd red CDS1 \n", + "RDCDS2 = '#eval PixelT - 160' / Kwd red CDS2 \n", + "RDCDS3 = 950 / Kwd red CDS3 \n", + "RDTEST = 123 / test fitskey from modes file Kwd red TEST \n", + "RDDATE = '2023-01-10T04:38:20.934246' / FITS file write time Kwd red DATE \n", + "RDOBSERV= 'Fulton,Halverson,Howard,Isaacson,Petigura,Walawender,Weiss,Yeh' / Obs\n", + "RDPROGNA= 'E328 ' / Program name Kwd red PROGNAME \n", + "RDFRAME = 23060 / Kwd red FRAMENO \n", + "RDDATE-B= '2023-01-10T04:37:03.722048' / Shutter-open time Kwd red DATE-BEG \n", + "RDDATE-E= '2023-01-10T04:37:33.739466' / Shutter-close time Kwd red DATE-END \n", + "RDELAPS = 30.017 / Shutter-elapsed time Kwd red ELAPSED \n", + "EMFRAME = 23060 / Frame number from kpf_expmeter Kwd expmeter FRA\n", + "EMFILEN = '/s/sdata1701/kpfeng/2023jan09/ExpMeter/kpf_em_23060.fits' / Output fi\n", + "EMSEQBEG= 1 / Sequence number of first observation Kwd expmet\n", + "EMSEQEND= 3 / Sequence number of last observation Kwd expmete\n", + "EMDATE-B= '2023-01-10T04:37:03.001' / Date-Beg of first observation Kwd expmeter\n", + "EMDATE-E= '2023-01-10T04:37:35.045' / Date-End of last observation Kwd expmeter \n", + "TARGTEFF= 5349 \n", + "DRPTAG = 'v2.5.3 ' \n", + "DRPHASH = '82cf70d1be2f67a26a39758b50a91c5fa5ebf82d' \n", + "NOTJUNK = 1 / QC: Not in list of junk files check \n", + "DATAPRL0= 1 / QC: L0 data present check \n", + "KWRDPRL0= 0 / QC: L0 keywords present check \n", + "REDAMPS = 2 \n", + "GRNAMPS = 4 \n", + "BIASFILE= 'kpf_20230110_master_bias_autocal-bias.fits' \n", + "DARKFILE= 'kpf_20230110_master_dark_autocal-dark.fits' \n", + "FLATFILE= 'kpf_20230110_master_flat.fits' \n", + "EXTNAME = 'PRIMARY ' / extension name \n", + "ORIGIN = 'astropy.fits' / File Originator \n", + "MONOTWLS= 0 / QC: Monotonic wavelength-solution check \n", + "WLSFILE = '/data/reference_fits/kpf_20230531_master_WLS_autocal-thar-all-eve_L&'\n", + "CONTINUE '1.fits' \n", + "COMMENT \n", + "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", + "COMMENT keyheader section [heartbeats] \n", + "COMMENT Snapshot timestamp: 2023-01-10T04:37:35.145000Z \n", + "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", + "COMMENT \n", + "COMMENT Data not available for keyword 'heart_12' \n", + "COMMENT Any value above other than 'Heartbeat active' indicates \n", + "COMMENT the keyword history daemon was not capturing data from \n", + "COMMENT the affected service as of the snapshot timestamp. \n", + "COMMENT \n", + "COMMENT ------------------------------------------------------------------------\n", + "COMMENT End of keyheader output \n", + "COMMENT Header generation start time: 2023-01-10T04:38:35.952646Z \n", + "COMMENT Header generation end time: 2023-01-10T04:38:36.040979Z \n", + "COMMENT ------------------------------------------------------------------------\n", + "COMMENT The keywords that begin with GR come from the green detector system. \n", + "COMMENT The keyword and value come from the Primary HDU of the FITS file. \n", + "COMMENT The original keyword name follows the Kwd in the comment field \n", + "COMMENT The keywords that begin with RD come from the red detector system. \n", + "COMMENT The keyword and value come from the Primary HDU of the FITS file. \n", + "COMMENT The original keyword name follows the Kwd in the comment field \n", + "COMMENT The keywords that begin with EM come from the expmeter detector system. \n", + "COMMENT The keyword and value come from the Primary HDU of the FITS file. \n", + "COMMENT The original keyword name follows the Kwd in the comment field " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "L2['PRIMARY'].header" + ] + }, + { + "cell_type": "markdown", + "id": "817c0f47", + "metadata": {}, + "source": [ + "## CCF Extensions\n", + "The header of the GREEN_CCF extesion shows the CCF mask used and the orderlet names associated with the three differente CCFs " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "313a399c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "XTENSION= 'IMAGE ' / Image extension \n", + "BITPIX = -64 / array data type \n", + "NAXIS = 3 / number of array dimensions \n", + "NAXIS1 = 804 \n", + "NAXIS2 = 35 \n", + "NAXIS3 = 5 \n", + "PCOUNT = 0 / number of parameters \n", + "GCOUNT = 1 / number of groups \n", + "STARTSEG= 0 \n", + "STARTV = -117.097 / km/sec \n", + "STEPV = 0.25 / km/sec \n", + "TOTALV = 804 \n", + "TOTALSCI= 3 \n", + "CCF1 = 'GREEN_SCI_FLUX1' \n", + "CCF2 = 'GREEN_SCI_FLUX2' \n", + "CCF3 = 'GREEN_SCI_FLUX3' \n", + "CCF4 = 'GREEN_CAL_FLUX' \n", + "CCF5 = 'GREEN_SKY_FLUX' \n", + "SCI_MASK= 'G9_espresso' \n", + "CAL_MASK= 'lfc ' \n", + "SKY_MASK= 'G2_espresso' \n", + "EXTNAME = 'GREEN_CCF' / extension name " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "L2['GREEN_CCF'].header" + ] + }, + { + "cell_type": "markdown", + "id": "ef3338a1", + "metadata": {}, + "source": [ + "## Plot CCFs\n", + "To plot the cross correlations functions, first the velocity array needs to be defined in terms of parameters in header from the GREEN_CCF extension. The current CCF code in the KPF DRP has a range of +- 100 km/s from the approximate CCF peak. Shown below are the CCFs of the three science slices" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "48bf475a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "CCF_RV = L2['GREEN_CCF'].header['STARTV'] + \\\n", + " np.arange(L2['GREEN_CCF'].header['NAXIS1']) * L2['GREEN_CCF'].header['STEPV']\n", + "o = 18# order number\n", + "plt.figure(figsize=(12, 6), tight_layout=True)\n", + "plt.plot(CCF_RV, L2['GREEN_CCF'].data[0,o,:], color='g')\n", + "plt.plot(CCF_RV, L2['GREEN_CCF'].data[1,o,:], color='orange')\n", + "plt.plot(CCF_RV, L2['GREEN_CCF'].data[2,o,:], color='blue')\n", + "plt.legend(['GREEN_SCI_FLUX1', 'GREEN_SCI_FLUX2', 'GREEN_SCI_FLUX3'], fontsize=14, loc='best') \n", + "plt.xlabel('Doppler Shift (km/s)', fontsize=14)\n", + "plt.ylabel('Cross-Correlation Function', fontsize=14)\n", + "plt.xticks(fontsize=14)\n", + "plt.yticks(fontsize=14)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "ee842c5d", + "metadata": {}, + "source": [ + "Zoom in on the CCF peaks and mark the determined RVs for each slice" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "e6593b29", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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uBD0eg31Og/Q2LiDLXr1bGdhEahoFWlKz7M3M14BvYctc90fo7wz4+a7g8woyXSkALTEUEZGqJn8HrPq0sNRMdshBA23+5Wp2+mlJoEiZFGiJhCrtj0ejfu7R9V63xHDJowQl1yjIgkUjXamARoe62S/QEkMREYm+0L9FTY+BDT+6/cl/feYCrJTmLoNgYJILLQkU2SMKtETCieSPR+PDYPkLxZcYblkAPwxwKW1bnQmtzoCfRiiLoYiIRE/o3isT724G+na64sFtz4d9h0G93jDxWC0JFCkHCrRE9lRJSwwP+wz+/hb+/BCWPwe/PgkYds18KYuhiIhUtr+/hQ1TwZfrvrb5QBx0ugm63gPxKUV9tSRQpFwo0BLZU6UtMWxzjnvkbYEZ/4bVXwSfW5AFm+cp0BIRkYplrdtXPPuKoiBr1zEfJNYODrJASwJFyokCLZG9UdYfo8R60O5iWPdD8BJDLCx7DuKSoN0lkNSgUoYrIiI1hLVuFuvnu2HzHEhqDJ4kt1TQr6S9VyJSLjzRHoBItedfYhifDhj3h63OgVB7f1hwC3zREmZeAlsWujX0a0bDzyPdR5832qMXEZFYF/i3Y/XXsPpLGNsHJg2FnRuh72tw0p8uSdOuv0Xp2nslUsE0oyVS0UpbYrj1ZzezteId+P11tyHZu9PdcVTSDBERKUtokgsM4IO0ttD3dZfkwpPg+mrvlUilUqAlUhlKWmJY90Do8zJ0exDm3+hS7AYlzVBdLhERKUVokgusWyLY8wnY5+Tgvtp7JVKptHRQJBYk1Xd3H0MVZMGyFwrvUoqIiAT450eYc1XxJBe+PNi2KDpjEpFdKi3QMsbEGWNGGmNWGGNyCz/eZ4wpdVbNGHOgMWaSMSbHGLPGGHOnMcZU1rhFKk39Hm65YBCPm9H6si0sfgjyt0dlaCIiEkM2z4MJQ+CHw6Fgh5vBCqQkFyIxoTJntP4P+A9wNdAJuKbw61tLOsEYUxv4HlgPHFR4zk3A9RU9WJFKVyxpRjo0GQSDJ0H93rDwVviiNfx0N+RuUNIMEZHqLjRB0tbFMOVMGNMLNs2C7o/AiUpyIRKrKnOP1iHA19barwu/XmmM+QroW8o5/wJSgQuttTnAImNMJ+B6Y8wT1lpbsUMWqUSlJc1ofDhsnguL7oNF97iPxgO2QEkzRESqo9AkFybO/c6PS4Mud0Kn6yGxjuurJBciMakyZ7SmAIMKAyWMMfsDRwDflnJOP+DHwiDLbyzQHGhTQeMUiR7/RuUuI9zHwD+U9XvB4Z9Dr2fBGLD5gHVJMzYWJs0QEZHqYW2G+91ekAlYF2SZBJdAqes9RUEWlP63Q0SipjIDrYeBd4BfjDH5wGLgLWvtC6Wc0xS3bDDQ+oBjxRhjhhtj5hhj5mzYsGFvxywSe/K2gA1ZKujNguUvgTcvOmMSEZHy48t3iZC8IYmQbAFkrYjOmERkt1VmoHUWcAFwLtCz8PMrjTEXl+eLWGtfsdb2ttb2btSoUXk+tUhsKClpxt/fwDedYeUHYH1RGZqIiOwFa2HNN/DtgYWrFEJmppTkQqRKqcxA61HgMWvth9ban6217wBPUEoyDGAd0CSkrUnAMZGaJ2zSjIEwYDTE14Jp58KY3rD2++IbqZU0Q0QkNm1dDBOOhUlDXcB1+JfQZICSXIhUYZWZDCMVCL3K81J6sDcdeNgYk2yt9ReJOAr4G1hZ7iMUqQpKS5rRfIib0fppBEw4GhLqufoq3lwlzRARiRU+r/sdvnk+pLeDDVPg91fczbKeT8J+V0JcIjQ/XkkuRKqwygy0vgZuMcaswO3P6oFL0/62v4Mx5kGgj7X2yMKm94G7gDeNMfcBHYBbgHuUcVBqNP/G5xZDg9uNB9r+C1qdDnP+C7+/WnSsINNlr1qbUfw8ERGpHEHZBDOL2ttfAV3vheSGRW0l/a4XkSqhMpcO/hf4FHgBWAI8DrwK3B7QpxnQzv+FtXYbbgarOTAHeL7wvCcqZ8giVVRcEqTuA4TU9i7IcndQRUQkOtZmwMZpwUFWXCq0OC44yBKRKq/SZrSstTuAawsfJfUZFqbtZ+DwihqXSLXlT5oR+MccC2u+hnYXQWrLqA1NRKRGytsGP98L3pzgdm+OWx6omSuRaqUyZ7REpDIVS5qRBrX2g60/w+j9YfnLyk4oIlJZVn8F3xwAm+e4eliBlE1QpFpSoCVSXfmTZvT/wK377/8hHL8Ehi6GBgfB7Mth3BGwfbmyE4qIVJSc9TDlLJh8EiTWg6OmQuPDlU1QpAaozGQYIlLZwm2kTt8XjvgB/vgfzLvB1WtJ3Qdy17k9XMpOKCKyZwKzCdbrDjs3wPwb3e/WriOh880um2BJmWNFpFpRoCVSExkD7S52f9x/PNVlv/JTdkIRkd0XlE0wC7doyAsN+0Pf16BOp6K+yiYoUiNo6aBITZbaHJofR9jshFsWRGNEIiJV09qMgJTtFvCCJwn2vzk4yBKRGkOBlkhNV7+nWy4YyHggtXV0xiMiUhVtnBGS5RXw5cHWn6IzHhGJOi0dFKnp/NkJ/ctdPInu4mD+jZDcGJofE+0RiojEtm1L4Y+3ircrm2C14fVCRgbMnw89esCQIRAXZltdTesnpVOgJVLT+bMTBm7MTt0Hpv0LJh4Lna6Hbg+4IsgiIhLsr1Ew/ULwJEO9nrBjWXBiIWUTjGmRBBReLxxzDMycCVlZkJYGffvC2LHBfWtav0i/f7vTr7pRoCUi4TdmHzMb5t8ES5+A9ePhkA+0z0BExM9XAD+NgF8edgHVYZ9CcjNlE4wRexJApaRAly7wwAOwYwds3eoes2bB5MmQn+/Oy8yEiROhZ0+oU8e15+XBpk2wahVYW9Rv/Hho1gxSU4teNzsbNm7c83777QcNGkBCgnts2waLFrn34+83aRIceyy0a1fU788/i7+PH3+Eq6+G3r0hMdH1W7gQpk6F3NyiftOmwUsvweDBrl9iovt+nn02zJnjxqrArTgFWiISXnwKHPQcNDsGZl4EY3pBzychpZm7iKjfQxcRIlIz5W6EqWfD+nHQ/jLo9XTRrL+yCVaoPQ2g9t8fbroJ1q2D1athzRr46SdYvLgokMnOdkHV4MGRjWPrVqhfH5KTXYCSnV30XH7WQosW0K1bUdvChbBhw573S0qCRo1cwJSfD5s3FwVZfgUF7v3/9FNRv5yc4v3y8uCFF8p+vzk5cNVVpffJzIRx49z7aNIEatWC9HQXtM6a5cbk7/fjj3DdddC/v+uTnu7+na65Bn7+ufoEbgq0ajit6ZUytTwB6v8E0y+A2ZeBiQPrU70tEak5AutjxafD0idh5z/Q93Vo9+9oj67GCHeB3acPvPOOm61ZsQL++MPN5kyYAD6fOy872826nHWW+zox0QUDPl/xwMgYGDYM/vtfqFvXPSZPhvPOcwGCX3o6PP88DA2IqUePhnPOKd5v5Mjy7ffoo5H1e//9svulpblAa8AAF3Tl5cEPP8Ctt7rgyi85Ga69Fg48sKjfV1/BN99QTJMm0Late52tW92/iT/I8svLg2efdY+S+AO3+vXdDF56ugvecnJcABk4g/fjj3DZZXDwwcGB2623umA6J8fNFvbtC999V/GBm5+xoT9h1Ujv3r3tnDlzoj2MiEV6l6a8Ap6qsKZXYsjqr2DKGS5Rhl98OvT/QHdvpcINHOg+ThxR+MngiUXH3nRtE4dNRKTcFauPZV3a9sGToGHfaI+u2ijruiA7G155BW65BXbuLP250tODgwlwAdQVV8Ddd0PDhu7rkgKUDz4IDlBifa9UtPpF+v0rKcB79lkXGO3Y4Y69/ro7NzQ06dMHOnRwfTIzYelSNyu5p9LS3IxgnTrukZsL8+YFB4NJSS7YHjSoqF96ugvC584t/n2JjzdzrbW9Q19LM1p7obKDnkh/8AsK4KijYPZs94vJv+b48cfdL6fsbBfZT5sGU6YU/cLy3xE4/3z3A22teyxbFn5N7/Dh0L27+2FMTHTrg0PX9E6fDl98AaedtnvvdXe/x1IJtiwEX35wm7/elgItEamu1mbAphmFQVYhEw87N5R8juyW0OuC5GQ3IzJ0KCxZ4mYkVqwofgHud/zxLojad19o08bNgoS7sB8yxF1g+w0Z4q4/Qq9HhoTkL4mLc9coGRmwYIG79gl3PVLT+kX6/Sup3wUXFA+mv/qqeOB2xx2RBW6vvQaHHloUkL3wArz5ZvGfmy5d3HXutm3usWpV8Rm3nTvhscfcoyT+GbfmzUvuU6NmtGJhNig11f3Avvqq+0fMyXGPSZPgkUeKghRwwcspp7jp7Zwc+PVXF/AE/jB4PNC0qfvoD6ACp3pjRUqKu4PUsKH7gV+0KPh9JCe7H+Z//cvdNTBm9wIyqQRrRsPUc4rXiWl+PBw2CuISozMuqRE0oyVRM+9GWPp4SKOBrvdClxFRGVJVU9p11ebN8OST8PDDRTd0/Twe6NwZDjjAPXJy4Jln3PWO397MQAWOrbSAQkoW6fcvkn6xNOOWmuquS3v0KArI3nvPBYKhuneHBQvCz2jVmEBrd2aDBg92s0E5OS4A6NAB/u//3Hnbt7spzgUL3D9MaNDTtq2b4fEHPNu3B/9C2BNpaS5Qyc93/9ChDjzQZYtJTXX95sxx2XACGeNmqi6+uKjf9OluvW1WwE26tDS3pveEE9w5UPKdg//9D444omit7tixcP31we83KcllpGnUyGXO2bjRfe9Km/JNTXXBZVKSmx4O/B6nprr/QU48MfgczXxVgtDlM/GpkNgAsldBo0Ph0I9dogyRCqBAS6Ji/USYfDLkh/zx1bLpiIW74dy2LRx+uFtV8/PP4WeqjIG77nKPkp5LAVT1U1UDtxNOqKGB1vjxc/jnHxg1yv3PGjhjFB/vUnPGx7s7Kps2uYd/82RpEhKK33kBl3LzwANdIJOS4n6BzJwZ3McYt5TunHOK+s2dC3feGRykpKX5//Hc13sTmcfSmuNw40tJcdlsmjYtygY0Y4abzg0VH+/ucHXo4B777ec2pC5dWnqWGikH/g3hgamL//oUZvwbEuvAoZ9Co0OiPUqphhRoSaWyFn59ypW4SG8PifVg26Lg+lhKBBSRN95wy/pC91UlJcFhh7kkDPHxcN99wTd+w123gAIo2T2VFbiVtEerWgdaHk9va23pyTCaNnXT0fXru8cvv7j9R4GMcUHATTcVpaocM6byg56KTEpRHj+Akfbbm4AsKck9p9fr9o79/nvxdbXgAuFrr3UzePvt52YbA8enma9ytnURTD4FslZCr6eg3WWwbozL0KU08FIOFGhJpSnIghkXw6qPoOUp0O9NiEtTfawwQv+mHnus20s1ebJ7TJrksgGGCp2t0lYBqSpKus41pgYGWk2b9rY33jiHJk3c//gPPRS8fymWZoP8fSMJUsozMIqW8grI8vNdAPzMMyVvkk1Lc3UpunVzSypXrnQzm/pFXs7ytsK08+Hv0ZDcFAp2QEG27v5KuVCgJZVi+3L48VTY/gt0ewA631y0jl6CeL1w9NFu9Ul2tpuV8njcVgJwe7IPP9yl5X733bKvv2L9ukWkNDUy0NqTPVrRnA2S4iL53pW0h+yBB9wM5Pz57jFnTvDSUXAzX7fc4grkNWhQ/HU187WbrA+mnQd/fhDcrv0MspcUaEmFCKyP5ct3ywXjEuGQD6DZUdEeXdSU9jdw+3aXae2ll+D774NvcsbHu4zEV10FnTopsZXUHDU+0AIFRtVVpL/E773X1c8o6Ue+UydXofyQQ1yK0J9/1h+FPfLzSPj5LiDwG60MXbJ3FGhJuQtK8FN4py6+Fhy3ANL3jerQoinc39QDDnBZkMeOddsrCgpcZuS8vOBzjXF/a0eMKP6cuq6S6qykQKtG1dGKi3PT1KEbK/e0n8SGSOs99Ozp/mCEznzdcYdLgDJ1qkua8vrrwef564FlZOhnIiL1e7jlgoFp4D0JULdb9MYkIhJqbQZsnAHegAwM+GDbLzU60MrIcMsB/YkpMjNd0DVzpkv2df31cNxxsGWLy2Yc+je1e/fiz6nrKqmpalSgJdVXJL/ESyqYd+ONRUGZz+eWET73XPC52dmuGvjZZ7s16YMGuWWJWmIYRrMhbk+WPw28iQNfHvzxJjQZCAm1oj1CERFYNz4kyMLtK62hRdjz891SwBEjgrP/+d14Izz6aNHXXm9kxWpFajIFWlJjRDLz5fG4JRNvvhl8ly4x0dX9eOMNl0o+Ph769XNp6NeuVXKNIJ44l/jCn6GrbjfY/issvAXG9oHDPoc6naI9ShGpyTZMhz/+V7w9Ps1lFaymQm8OHn20q2X14Yfw2Weu1E1amvsbF5jRNz3dpWEPFOlqEpGaLOJAyxhzFnAk0BjwBB6z1p4Y9iSRGLM3M19jx7o/PNOnu88/+QT++KPovMxMt/zw66/h5JMr/K3ENk+cuyO8667wCdCgF0w5ywVb/d6GfU6O5ghFpKZa+SHMGAYpLaB25+L1sZpVzymZ0L1X8YVXgPn5LpA66SS3auPII139zkhmqrQkUKR0EQVaxphHgWuBCcDfBO9yF6lWSrtLFxfnNuUPHOiq2991V3ByjdxclwHxrLNcUeqjjoLkZC0xBKDJIDh2Lvx4Gvx4ChxwGxxwF6z/TvW2RKTiWQuLCpP1NDoMDhvlChHXkPpYn33mEln4E1jk57u/Q7fcAnfeCSkpRX01UyVSPiKd0boAOMda+2lFDkYkVkRyl65Hj+LJNZKTXdbCL76At95y+7iGDIElS9zsV3Z2DV9imLYPHDUZ5vwXFj8Ay18C707wqt6WiFQgb64rQvzn+9D2QujzMsQluWNBs+/Vz9q18PTT8NRTxbME+nzub1JgkAWaqRIpL5EGWh5gQQWOQ6TKKW2JodcL48e7O4gffQQ7dhSd58/gVGOzGMYlQ99XwZMMywOyjhRkugQaazOq9UWPiFSCwPpY6W1h2QuwaborQrz/LdWuCHG4VRPLlsFjj7liwQUFbl/xvHnBhYNLyhIoIuUj0kDrFeA84O6KG4pI1VLWEsNjj3WPli3hnnuClxhmZsIrr7gliOnpUXoD0ZbcGDAErUQuyKqxGb9EpJwE1ccKSJ/X/0NofVb0xlVBQvdeJSe7AGrjRjdTdcklLiV7mzbha04qS6BIxYk00KoLnGuMOQr4CcgPPGitvbqcxyVSJUSyvKJXr+JLDD0elzSjRQuXNv7KK6Fjxxq2lytsva2kap3xS0QqwdqM4CLEAHEp7vdNNZSR4YIn/9+YnBz3OOcct2SwUaOivtp7JVK5Ig209qdo6WBoXmYlxhApRbglhn36wN13w0svwYsvwjPPwODB8M8/bi9X6FLEavmHMLTeFgZ8uZC3PdojE5GqbPP84JkscHu0quFseU6OWx0ReCMP3MrI/fcPDrJAe69EKltEgZa1dtDevpAxZiXQOsyhb621x5dwTrgg7gpr7Ut7Ox6RylLaEsPDDoMnnoBXX4Unn3Q1TPyq/V6u0Hpb6fvB8udh+nlQsAP2uyzaIxSRqih7DcXuAVez+libNxfdpPvnH7dKwucrOq69VyKxYbcKFhtjkoH2uN9gv1trc3fj9IOAwPvyzYC5wMdlnHcpMDrg62278ZoiMaG0u4hNmsCIEW7ZYLi9XDNmVNNAC4rX22p5Ikw5A2ZfDnlb4IBbojs+Eak6rIWf74HfX4akhuDNgYLsKl0fK3Q5+f77u+DqtdfcyochQ9z+qwcfhFmztPdKJNZEWkcrAXgAuApIxO1g32mMeRa43VqbX9r5ANbaDSHPeTGwnbIDra3W2nWRjFOkKgu3lwvcjJcxcO210KBBVIZWeeJT4PDPYfowWHirC7a6P1TtMoSJSDmzPph7DSx7Dva9CHq/COu/r9L1sUKTXMTFueyBcXHwr3/BjTfCgQe6voMGae+VSCyKdEbrYeAc4HJgSmHbYcCDuNTvN+7OixpjDHAx8K61NqeM7k8bY14CVgCvA69Ya31lnCNS5YTby7X//i5r4X33uaWFV14JN9wADRtW46QZngQ45B1IrAtLHnHB1kEvVrmLJBGpJL58mH4h/PkBdLoBejzqbs5U8fpYGRkwbVpROvaCAkhIgJdfhosuCu6rvVcisSnSQOtc4N/W2m8D2n43xmwAXmM3Ay3gKKAt8GoZ/e4EJgCZwJHA40BD4L6STjDGDAeGA7Rq1Wo3hyUSPaXt5Vq8GO6/Hx5/HJ591m1w3rTJ/QGulkkzjAd6PweJ9WDx/S7YanMubF3kshVWwbvTIlIBCrLhx9PdXs9uD8L+/1ctZsBnzYLrrguueQUu2FqzJjpjEpHdF2mgVQf4PUz777jU77vrUmC2tXZhaZ2stSMDvlxgjIkDbqeUQMta+wqu7he9e/dWRkSpUkq6K3nAAfD++y5T4ZVXwrhxRceqbdIMY6DbfZBQBxbcDKs/d8uD/PstBo1VsCVSk+VtgUknwMbp0OcVaH9ptEe01+bNg7vugtGjoVYtSEyEvLyi40pyIVK1eCLstxAIVyvrGorSvkfEGNMYOImyZ7PCmQnUNsY02YNzRaq8Dh1gwIDiN2wzM2H27OiMqcLV6ezqa1kvYF1tnE0z3R1sEalZfF5YMxrm3wwZPWDjLOj/UZULsrxeF0yNHOk+zpsHp5zi9upOnepWMKxa5TLTpqe73/np6UpyIVLVRDqjdTPwrTFmMDCjsO1goDmwu//LDwN2Ah/s5nkA3YFcYOsenCtSLfToET5pxosvukDsnHNcqt9qY/N88OUFtxVkVcuaOCJSCp8XJhzjZrC82a6tXg9oeUp0x7WbQpNceDyurVYtl3n2mmugTh3XVwWGRaq2iC7HrLWTgQ7Ap0B64eMToKO1dkpp5wYqTIJxCfChtTYz5NhVxpilAV+fYIy51BjTxRjTzhhzCXAvLhnGzkhfU6S68SfNCLzL2aOHS5px3nmuGPKkSdEeZTmq38MtFwyVGq4sn4hUW2szgoMsgB3Lq9zsdkaGK9uRmeky0nu9LsnFK6/AnXcWBVlQtJx8xAj3UUGWSNUScR0ta+3fuP1Re2MgsB9wXphjDYGOAV/nA1cCT+ACwj9wyTGe38sxiFRpJSXNMMbt47rtNhg4EE480dVW+eOPKp6dsNkQtydr00w3kxWXBN48WHQvNBkAaUp6I1IjrBsXHGRBlZvdtraoBlagggL47bfojElEKk6JgZYxpiewwFrrK/y8RNbaeZG8mLV2Aq4GV7hjdwN3B3w9BhgTyfOK1DQlJc047zw47TR46il44AGXRCMhwf0Rr7LZCT1xLvHF2oyimjgJdWHSUPj+MDhyHNRqH+VBikiFyvwDVr5bvD0+zf1OqAJ++w2GD4cJE9xyQV9AoRoluRCpnkpbOjgHN8vk/3x24cfQR3Xdgi9SJaWkwK23uj1bCQmQn+/uogZmJ6xyPHHujnWXEe5j40PhyAnu7vYPh8O2X6I9QhGpKJkr4YdBbo9Wgz4Qnw4Y97FBXzfrHcMKCuDhh11x4blz3e/mgQOV5EKkJiht6WBbYEPA5yJShaxY4f7AB8rMrEZp4Ov3gMGTYPxgF2wN+g7qlzr5LiJVTdafMG4QFOxws9d1uwbPbsdYTT2vN7iYfJMmcNll7uuTT4bnn4fmzeHSS5XkQqQmKDHQstb+Gfgl8Je1tlhdKmOMNkiIxKDSshPGx8O99wZvuq6S6uwPgyfDuCPdxdiA0ZC/zWUqVGFjkaot6y83k5W3FY78wf0/DW5WOwb3ZIVmE4yPdysKmjSBzz6DU08t6lvS8m8RqV4iTQK9AmgU2miMaVB4TERiTLjshIcf7u6uPvssdO4MH37olhVWabXaw1E/QlJj+GEgTDkTfr4Lpp7jUkH7vNEeoYjsruzV7uZJ3iY44juo3yvaIypTRoYLsvzZBPPzXbD11FPBQZaI1ByRBloGN6sVKh1X10pEYow/O+EHH7jZqw8+gPHj3YzWzJlu+co558DRR8OSJcHFM71VLTZJawVd7gQseHNQYWORKiz7bxh3BOT+45YENzgo2iOKiD/ICuT1KpugSE1Wanp3Y8wzhZ9a4EFjTGBe1TigD7CgYoYmInurpOUpBx3kLgpefNGlgz/gAHfntUpnJ8xaWbytiqV+FqmxfF53U+SfybDyfbdc8IjvoGHfaI8sItOmweuvF29XNkGRmq2sOloHFn40QGcgL+BYHjAPeKwCxiUiFSwuDq66yu3T+ve/3TIXCM5OWKX2D/gLGxcE3FL2JFWZ1M8iNZbP65b5bpwB3sICU/V6uYyCMW7nTldk+LHHYJ99oGdPWLbM7dHy37RSNkGRmqvUQMtaOwjAGPMGcI21dnuljEpEKs3KlcWXCmZmwrx5VSzQCi1sjAFfLni1ulkkpq3NCA6yAHb86tpjeDZ6/ny44AJYtMhlEXz8cUhNVTZBESlS1oyW361AbSAo0DLGtATyrbXry3tgIlI5SspO+OGHcP750LaqFHcILWycvh8sfdIlxcBAq9OiPUIRCWf9pOAgC2Ju2W9g2vauXWHhQrentVEj+OYbOO64or7KJigifpEGWu8CHwGvhrQfA5wFHF2egxKRyuPPTuhPSZyWBq1awV9/QbduLkPhBRe4zIUxz1/Y2H9x1mIITDgWpp4FfACtzojq8EQkRNYqWPlu8fb4tJhZ9huatt0Y8PngrLPghRegfv1oj1BEYlWkWQd7A5PDtP9YeExEqqhw2Ql/+gl+/tnNdg0bBmeeCZs2RXukeyChtpvlaniwm9n686Noj0hE/DJXwg8DoCAb6veG+HTAuI8N+rrlwDEgNG27zwdJSXDeeQqyRKR0kc5oxQNJYdqTS2gXkSokXHbC1q1dOvjHHoM77ijKqlVQ4JbP9OhRRfYfJNSCgRkw8XiYdi5YH7Q5J9qjEqnZdvzu6mQVZMKR46Bej6Jlv/W6x1Sx8cmTiy+tzstz+7C0RFBEShNpoDUTuKLwEeg/wOxyHZGIxIy4OPi//3O1ts491wVWCQlVMA18Qi0Y+C1MOh6mnwe+AkiqB5vnu2yFMXRRJ1Ltbf/V1cny7YQjxxctEQxc9hsjvvoKXn65eLvStotIJCINtG4HxhtjugLjC9uOAHoAgytiYCISO3r0gPvucwWOq2wa+IR0F2xNOB5mXOBSv/vy3F6QBn3dEkMFWyIVa9svMO5IwAdHToS6XaI8oPCys+HGG12twW7dICXFZRdU2nYR2R0RBVrW2hnGmH7ATcCphc3zgSuttQsranAiEjt++cXNZAXKyqpiy2fi06Djf2HDFHc3HdzSpU0zYz6VtEiV5C9EvHk+JNaDn+8BT7wLsup0jvbowlqwwM3gL1nigq377nMF3ZW2XUR2V6QzWhQGVOdV4FhEJIaFSwNvLUyYANdd545VCdt+AXzBbTGWSlqkWvAXIt5V286CJxGGLIiZICswbXu3bq7Y8O23Q4MG8P33MDhgzY7StovI7oo40AIwxjQHGhOSrdBaO688ByUisSc0DXxqKjRu7BJm9O4NH38MBx4Y7VFGoH4PN7NVEBAxehJjJpW0SLWxNqMwyAr4f83EQ+bvMRFohaZt93hc24knusQ/DRtGe4QiUtVFlN7dGNPDGLMY+AuYB8wJeCgZhkgNEJoG/sMPYflyGDcOtm6FPn3g1VfdLFdMazbE7cnyp5I2cW4ZYfbqaI9MpHrZPL9wJiuAN8fNHseA0LTtXq9L237JJQqyRKR8RDqj9QouyLoU+BuI9UspEakA4dLAH3GE27dw/vkwfLib4XrhBZg6NUbTwHviXOILfyrpOvvDb6/B7MKkqvtdHtXhiVQb8ekUu1yIoULEc+eGT9u+cCGccEJ0xiQi1Uukgdb+QA9r7bKKHIyIVE1NmsCYMfDQQzBiBHz5pWvPzY3RNPCeuOBU0s2Phx9Pd8GW9UKH/0R3fCJV3ea5hYkvksF43EyWP8NnDBQiXrsWPvmkeLvStotIeYo00PoZaAoo0BKRsDweuO02F0zdemvREsIqkQY+LgkO+xSmnAlzrnJFjTv+N9qjEqmaNs+FcYNdrbojx7kENDFUiHjyZDjrLLfkef/9YdUqpW0XkYoRaaB1G/CIMWYELujKDzxord1c3gMTkaopL694W5VIAx+XBId+AlPPgrlXu2Cr0zXRHpVI1bJ5How/ChLrwJETIL0NpO8bExk9rYXHH4dbboF27VxWwc6dlbZdRCpOpIHWD4UfvyN4wbUp/Fq/lkQECJ8GHlyGwpgXlwiHfgxTz4Z514ItgNod3ab++j1i4m68SMzaPA/GD4aE2q5OVnqbKA+oyLZtcNFF8PnncNpp8L//Qe3a7pjStotIRYk00BpUoaMQkWojNA18UpIrdHzjjS7YOvnkaI+wDJ4E6P8hTDkH5t/oUr/78ov2lwwaq2BLJNTm+S7Iiq8VE0FWYH2sunXh6adh5Uo3o3XddWBMVIcnIjVERIGWtXZSRQ9ERKoHfxr4wOU4++/v9kSccgr83//BffdB/G5V8atkngRoex6s+RJ8hWshCzJdTaC1GTGxDEokqnxe9//C5vlumeBPd0NCLRg8MSaCrMD6WNZCYiL88AMMHBjVoYlIDRPRpY4xpmdpx1WwWEQChUsDP2UKXHMNPPwwzJ7t6nHF9HLCrT+7DISBCrLcpn4FWlKT+bww4ZjCYsRZgAVPEhw7E9LbRnt0QfWx/OLjiy9nFhGpaJHeU56D24sVONkeuFdL62hEpFRJSfDSS3DwwXDFFdCzJ3z0EWzZEqP1tur3cMsFCwKuzjwJMVMDSCRq1mYUBlkB/2+YONj+K9TaL3rjKjR7dvGgKienCiTkEZFqJ9JAK/QWVQLQA7gduLVcRyQi1dqwYW454SmnwGGHuSU9eXkxWG+r2RC3J8t/197EuWWEm+ZoRktqts3zC2eyAnhzYmK2d9s2GDWqeLvqY4lINES6R+vPMM2/GWO2AXcBGeU6KhGp1rp3hwcfhPPOg507XVvM1dvyxLnEF2sz3AVknQPhr09h0T3ueNe7ozk6kehJaVa8LT4t6rO969bBscfCkiVwwAHw55+qjyUi0bW329FXAN3LYRwiUsMsXw4+X3BbzNXb8sS5O/T+u/QthoInvjDY8sGB9yh9mdQs2Wtg0f1uhteTAN7cooyczaIXyfz+Oxx9tAu2Ro+Go45SfSwRib5Ik2HUD20CmgF3A7+W85hEpAYoqd5W3bpRGU5kPHHQ93V3kblopEuW0fU+BVtSM+RudMWI8zbC4MmQt8nN9tbrHtUacwsXuiyD+fkwbpzbBwqqjyUi0RfpjNZGgpNfgAu2/gLOiuQJjDErgdZhDn1rrT2+hHNaAc8DRwA5wPvAjdbavMiGLSKxKrTeVnKyS8t8yy3QujWccEK0R1gC44E+rwAeWPwAWB90e0DBllRvedtcpsGsFTBwDDTq59qjvCdr8mT3u6J2bRg/3pWSEBGJFXtasNgHbAB+s9YWRPgcBxGcnbAZMBf4OFxnY0wc8A2wCTgMaAC8hQvw/hvha4pIjApXb6trVzj1VDjpJHjkEbjhhhiNX4wH+rzkPv7ykCto3HiAu7tfv0dU7+6LlLuCLJh0PGz7GQ7/EpoMiNpQAgsR79wJjz4KbdvCd99Bq1ZRG5aISFilBlrGmKuBV8qjYLG1dkPIc18MbKeEQAs4GjgAaG2t/avwnJuB14wxt1trt+/tmEQkusLV25o8GS68EG66CX75BV580aWGjznGAwe94D5f+jj8+gzYgqL9KoPGKtiSqs+7EyafAhunQ/8PoXn09mGFK0RcqxZMmgRNmkRtWCIiJfKUcfxJoLb/C2PMdmPMvnv7osYYA1wMvGutzSmhWz9giT/IKjQWSAJ6lfLcw40xc4wxczZs2FBSNxGJUamprr7WnXfCG2+4Te3+De4jR7qPXm/Zz1MpjAeaHw8mAWw+YF1toU0zXbZCkarMVwBTz4Z137u9ia3OiOpwAgsR28LNDD6fq5slIhKLylo6GLpop7wW8RyFq831ail9mgLrQ9o2At7CY2FZa18BXgHo3bt36L4yEakCPB645x7o3NnNbrVt69pycmKw3taWBW4mK1BBVkzUFBLZbT6vu0mweR6snwD/TIRez8C+w6I9MubOLZ48Jzs7xjKViogE2Nv07nvqUmC2tXZhlF5fRKqAs8+Gv/92e7X8Yq7eVv0ebrlgQcAVoImHut2iNyaRPeHzuoQXm2YW/Tyn7wv7XRndceGWCn7zTfF2FSIWkVhW1tJBS3C2wdCvd5sxpjFwEqXPZgGsA0JXXTfEJdRYtzdjEJGqIyureEIMf72tmNBsiNuTFZ8OmKJlhH9/4zISilQVazOCgyyA3H+ivgx23ToYMADmzIGOHSE93f1OSE9XIWIRiW2RLB38wxjjD67SgZ8CvgbAWlu72JklGwbsBD4oo990YIQxpqW1dnVh21GF587djdcTkSosXL2thAToFisTRp44l/hibYZbLli3G/wzySXIAJcww5R1T0skBmyeFxxkQdSXwS5Z4gKpDRvgq6/c5ypELCJVRVmB1kXl+WKFSTAuAT601maGHLsKuMpa26mw6TtgMfC2MeYGXHr3R4FXlXFQpOYIrbcVFwd5efDll+5YfLQWQAfyxLkLUf/FaIuh4Elwqd+trygVvEisshY2hckqEZ/mChJHwaRJcPLJLuvopEnQu7drVyFiEakqSr1Esda+Vc6vNxDYDzgvzLGGQMeA1/YaY44HXgCm4goWvwfcVM5jEpEYFlpvq1s3mDYNHnoI1q+HDz90M14xxZjCIsaFRY3xuSLHCrYkFlkfzLkK/h4NqftA3hY3k+UvVdCs8tfmvf8+DBsG7dvDt99CmzaVPgQRkb1WqfeCrbUTKCFzobX2buDukLZVgO5bidRwofW2TjgBWreG//wHjjjCpXxv1Ci6YyzGGOh6H5g4WDQSrBf6vKbaWhJbrA9mXQ6/vwqdb4au98O6MW65YL3ulVZ821+IeN48+P13ePttty/r88+hXr0Kf3kRkQoRC4tuRER22+WXQ7NmLjPhIYfAmDHQrl20RxXCGOh6L+CBRfe4ukT7nA5bf3LZCivpIlYkLJ8XZl0Kf7wBB9wOXUe6n9nAZbCVILAQsX8vZpMmbiYrNbXShiEiUu4UaIlIlXXSSTB+vJvh6tfPbZbfuBHmz3dJNGJmo3zXu93HRffAnx+62S3/sqxBYxVsSeXzeWHmv2HF29DlLjjwruLpPStJRgbMmOH2YPplZbn/t7UXS0SqMgVaIlKl9esHU6fCscdC//6QmAg7d8ZgYeMGvcGTCL4893VBpkulvTZDhY2lcvkKYPqF8Of7cOC9cOAdUR3OlCnBQRYUlXBQoCUiVZl2ZotIldexI9x7r/s8N9clUAssbBwTNs8HX35wmz91tkhF83lhzWj46R4Yd4QLsro9GPUg648/3H6sUCpELCLVQcQzWsaYvsCRQGNCAjRr7dXlPC4Rkd2ycqULsALF1F3x+j3ccsGgOkUG0veN2pCkhvB5YcIxwcWI09tD5+gm8Z0/3y3v3bkTevWCX391/8/6Z6NViFhEqrqIAi1jzI3AI8BvwN9A4OWMDXuSiEglClfYOD4+hgobNxvi9mRtmulmsjxJ4NsJP4+ExodDastoj1Cqq7UZsGmG+7nzy10X1WWrP/wAp54KdevChAnQoYMKEYtI9RPpjNY1wNXW2ucqcjAiInsqXGHj/Hz4+ms47rgYuGjzxLnEF2szilJnx6XC5JPhu/5wxHdQu2MZTyKyBzZMDw6yoGjZahQCrQ8+gAsvdEt+x4yBFi1cuwoRi0h1E2mgVRv4tiIHIiKyN0orbLxtG7zzjkuUEVWeuOKpswdPhAnHwveHwaAMqN8rasOTaihnPfz5QfH2+DQX7FeyJ5+E66+Hww+HL790M1oiItVVpIHWB8CxwAsVOBYRkb0SrrBxw4Zw442wdSuMGuWWF8aU+j3hqCkw/ij4YRAM+AqaDIz2qKQ6yFzpfq5y1kHd7pD5m5vJ8pcWaFbxm6ACCxEvWOAKEJ92Grz7LiQnV/jLi4hEVaSB1l/APcaY/sBPQFDqLGvtE+U9MBGR8nDDDVC/PlxyCQweDN98476OKbU7wNFTXcKCCcfCIe9BXJLLVKjCxrInti5yP0/eHDhyHDToE7xstRJ+psIVIm7RAt5/PwZml0VEKkGkgdYlQCZwSOEjkAUUaIlIzLroIrdE6eyzYcAA+PZbWLgwxgobp7aEwZNhwnEw5fTCZBl5Kmwsu2/DdJh0PMQlu5+pul1ce+iy1QoWrhDxtm3w3XfaiyUiNUNEgZa1tm1FD0REpCKdcoq78DvxRJfhzOOBnJwYK2yc1AA63whTz3EZCUGFjWX3/D0GfjwNUpq7BCvp0fvzHRpkQYyVXBARqWC7XbDYGJNujIm1XQ4iImU64ghX2Dg3F7KzY7Sw8falgC+4TYWNpST+QsQ/j4R5N8HEoW4p6lFTohpkbdkCn3xSvF2FiEWkJok40DLG/McYswrYBmw3xvxpjLmy4oYmIlL+srLAmOJtCxZEZTjF+QsbBzJxUOeA6IxHYpe/EPHUc+DnO2HpY5BQC44YBylNojasDRvcTY0VK+DAAyE93f0/l56uQsQiUrNEWrD4NuBW4DFgSmHzYcBDxpja1tqHKmh8IiLlKlxh46SkGLrLXqywcYLbq/Xrc9D0SEioHe0RSqxYm1H4cxLww2zzYeO0qC0zXbvWJZ354w9Xw27wYBUiFpGaK9JkGJcDw621gcU4xhljlgMPAAq0RKRKCC1sbIxbSrhqVbRHVihcYePcDTDrUvhhIAz8FlKaRnmQEhM2zQkOsgAKsqNWiHjVKjjySBdsZWTAwIGuXYWIRaSmijTQagzMDtM+C4je+gQRkd0UWti4c2f43//gP/9xS57uvLP40sJKF66wcUpT+PF0+O4QF4jV3i9645Poy8+ENV8Xb49SIeLffnNB1rZt8MMPcPDBlT4EEZGYE+kerWXAuWHazwV+Lb/hiIhUPH9h4xEjXPHUL76AYcPg7rvhyitd/Z+Y03wIHDkBCnbA9/3dbIbUTDnr4IcBbuaqVieITweM+1iJhYhHj4aRI+HFF+Gww9wM8fjxCrJERPwindG6G/jYGHM4MLWwrT8wADijAsYlIlJpEhLcrFbTpvDQQ/DPP/Dee5CcHO2RhWjYB44qLGw8biAc+glYrwob1yTblsLEIZD7Dwz4GpodE9VCxFlZLntnYiLMng1du1boS4uIVCmR1tEaZYzpC1wH+NeyLAH6WGvnV9TgREQqizHw4IPQpAlcdx0ceyyMGgXTpsVYYePaHeDoaTD+WJh4nAob1yQbpsKkE8ETD4MnQYPerj0KhYhnzgxOKBMf7/ZoKdASESkS6YwW1tq5wHkVOBYRkai79lpo3BguvBBat3Z367OzY6ywcUozOOA2mHauChvXFKs+g2n/grRWMGgMpO8btaHMn1+8EHFOjgoRi4iEKjHQMsbUt9Zu9n9e2pP4+4mIVAfnnus29991V1FbYGHjmLiY3LEMsMFt/sLGCrSqPp/XBc2b50P2X/D7q9CwHxz+FSQ3jOrQUlLcDYhAKkQsIlJcaTNaG4wxzay1/wAbKfYXHQBT2B7t+7siIuXKGPcIvKD0FzaOiUDLX9g4NL13XGp0xiPlx1+IOLBGVlJDGPgdJKZHdWhTp7qkMSkp7v+PnJyi2V4VIhYRCVZaoHUEsDng83CBlohItRSusHFycgzdtQ8tbByXDNYHC26B+FRof1kM5KmXPbI2AzbOAG/A+jxvDmyYGNXZyilTXDDVooVL4b5woQoRi4iUpsRAy1o7KeDziZUyGhGRGBFa2BhcYeOYSf0errBxgz4w/UKYfQVsnA4HveiCLqla1v4QHGRBVAsRA/z4o/t/omVLl8K9eXPYZ58Ymd0VEYlRESXDMMZ4Af8ywsD2BsA/1lrdxxKRaiW0sPG++8ITT7i6W2++CefFQmqgcIWNB34Di+6Dn+92F+aHfQZpbYv2+ygNfGxb843bjxUqSoWIASZPhuOOc4HV+PHQrFlUhiEiUuVEmnWwpPUnSUBeOY1FRCSm+Asb++/an3ACnHQSnH8+bN4MV18d3fGFZTxw4J1udmvavyCjJ6S3hcw/3BJDpYGPTdYHi+6Hn++Cut3cTOTWn4L/zSqhEHGoSZNckNW6tQuymjat9CGIiFRZpQZaxpjrCz+1wOXGmMBd13HAYcDSChqbiEhMqVULvv0WzjkHrrnGBVt33RWjW6GaHwtD5sG4we6C3U9p4GNP/naYfgGs/hLanAd9XgFPYqUXIga3NDYjw6Vwj4uD++6Dtm1dkNWkSYW/vIhItVLWjNZ/Cz8a4BIgcHdCHrASuLz8hyUiEpuSk+GTT2D4cLjnHti0yS0pHDs2xgobA6S1hjbnwqJ7g9uVBj52bFsKP54CO5ZDr6ehw3+LIvdKLkTs9cIxxxTtS7TWJYT5/nsFWSIie6LUQMta2xbAGDMBONVau6VSRiUiEsPi4+H116F+fXj8cRd4ZWW5R0wVNgZocBDEpwengfckQJ0u0RtTTRZYH8uXB0ufgvgUOOIHaDIwqkPLyHBBVmZIxYB581zyCxER2T2eSDpZaweVR5BljGlmjHnLGLPBGJNrjPnFGDOglP5tjDE2zOPYvR2LiMjeMAYefRQuuADWr3cXp9YGFzaOCf408PHpgAET7y7wf74HtiyM9uhqFn99rKnnwM93wuL73A/SMTOjHmSBm5HNCkl2mJ3tksGIiMjuizQZBsaYDsDpQCsgMfCYtfbfEZxfF5gKTAGOBzYA+wL/lHKa37FA4BXB5pI6iohUFmOgffvi7TFV2DhcGnhvLsy5Csb0hi4jYP9bIS6xrGeSvbU2w6Xd92YHNPpg22KXsCTK1q0LLtANboY2ZmrHiYhUMZGmdz8e+AyYD/QCZgPtcFkHf4zwtW4G1lprLwhoWxHhuZustesi7CsiUml69ID09ODlVikpMXZxGi4NfJNBMPcalwb+r8/h4Degblelga8oeVtc2v2gIIuo18cCF1yNHAkvvAANGrh6cdnZRctgh1R+skMRkWoh0hmte4F7rLUPGmN2AOcDfwPvANMjfI6TgTHGmI+AQYXnvwY8b23oPbRiRhljkoHlwJPW2k9L6miMGQ4MB2jVqlWEQxMR2TOhhY2thYICV9g1piU1gEPehVZnwKzLYcxBkLYP7NyoNPDlyeeFP/4HC2+DnZvAJIDNLzoexfpY4BJgXHMNPP+8Wwb78svwww9uRrZ79xhK7CIiUgVFtEcL6Ah8VPh5PpBqrc3FBWDXRvgc+wJXAn8AxwBPAw8B/ynlnEzgRuBM4DhgHPCRMabEUqHW2lestb2ttb0bNWoU4dBERPaMv7DxBx/AvffCs8+6WYGBA10NopjX8iQ4fjE0GQBZKwuTZtjgNPCyZzbOgO/6wqzhULszHDsHGh9etF8uPj1q9bEAdu6Ec891QdaNN8Ibb7ismkOHwogR7qOCLBGRPRfpjNYOILnw87VAe2BR4fn1InwODzDHWntr4dfzjTH74QKt58KdYK3dCDwe0DTHGNMQtwzx3QhfV0SkQoUWNj7xRJcm+5hj4L334LTToju+MiXVh8YDYf0EXNnEQkoDH7nAbIJpbWD9D7DibUhpDoe8B63PcZv6QvfLRWl55o4dcOqpbvbqkUfgppsqfQgiItVepIHWTOBQ4BfgG+BxY0w34BQiXzq4tvD8QEuAayI8P3AsF+3mOSIilaZVK5gyBU44Ac44A557Dq68MtqjKkP9Hm4ZW2AaeKwLCPK3Q0LtaI0s9vmzCW6aGfD9M9D5JuhyByTUKuobbr9cJQgsRLzvvvDkk2554BtvwLBhlToUEZEaI9JA63ogvfDzu4FawGnAssJjkZiKW4IYqAPwZ4Tn+3XHBW0iIjGrQQM3W3DOOfCf/8Dff8Pdd8OYMTFY2BiK0sBvmulmsuJSXHD112ew4Ufoej/se5H2a4Xz9zewYQr4dha1xaW4ZYKBQVaUhBYi9hs1Ck4+OWrDEhGp9iIKtKy1fwR8ng1csQev9SQwzRhzO26/Vw/gauA2fwdjzINAH2vtkYVfX4jbEzYf8AEn4JYa/t8evL6ISKVKTYXPPnOzWfffD//7n1uyFZOFjcOlgW82BLbMg7nXwqxLYdlz0PMxlx5emQld5pO1Y2HWZcFBFoA3J2aWXYYrRJyS4gpvi4hIxam0X7PW2tnGmJOBB4A7gFWFH18I6NYMlzY+0AigNeDFzaD921qr/VkiUiXEx7tMbpmZLmGGX2Bh45iotwXhl7U1OAiOmgKrPob5N8P4o8DEgfXV7MyEG6bBwlvhn8mQ1AQ8ScHBVpSzCQYKV4g4NzeGar2JiFRTJQZahWncy0q7DoC1NqLF+9bab3B7vEo6Pizk67eAtyJ5bhGRWGUMdO5cvD2mChuXxhhofRaYeJh2LvjyXHtBpivAuzYjJmZuKkRgkov6PSC1Jfx0J6z5GpKbQO/noO2/YfIJRcsu/QFolLIJhtq8WYWIRUSiobQZrasqbRQiItVclShsXJZtv4AvP7jNmw0LboWUFi4QqU6CklxkFc7kFUB8bej2AHS82gVVEDPZBANZC/fcA089BfXqQV6eChGLiFSmEgOtwtkkEREpB+EKG+/c6eoWVRnhMhOaBNjxO4zpCc2OhQNug8aHFZ8JioHAY7f9/S1snOb2W4ELskwC9HkJ2pwT3DdK2QRLkpcHl14Kb7/tsgq+8AKMG6dCxCIilSniPVrGmGRgKG4P1cvW2q3GmHbAFmvt5ooaoIhIdeAvbJyR4S52mzWDxx6D446D11+H88+P9ggjEJqZ0L9E7tCP4LeXYelT8MPh0PAQdzzz9+B+VWUvV94WWPEOLLqvKMjyswXufcWwrVtd7bbx410R7REj3OrPwFpvIiJS8SIKtIwx7YEfcCne6wKfAFtx2QfrApdUyOhERKqR0MLGp53misZecAGsWAF33OEuiGNWSZkJPXFuJqvjtfD7/2DRvbBzQ9F5BZkuOIulvVyhM25Nj4XNs13AuOojl1kxfT9XQyxGk1yE8+efcPzxsGyZm82qEgG8iEg1FemM1lPAd7jAamtA+1fAG+U7JBGRmqFuXVdX69JL4a67XLD18suQmBjtkZWitCVy8anQ8SrYudEFW4H5lAoyYcljEJ8ODftBXJJrj8YSw9C9V55El+jDm+XG1/ZCaH8Z1O0a3C/GklxAcCHiWrXgoYdcRsExY+CII6I9OhGRmi3SQOsQ4GBrrdcE325dBTQv91GJiNQQiYnw5puw776uoPFff8FHH8H06TFa2DgSDXoX38uFB/75EcYNcsV8Gx0GTQbBX6Ng+5IIlhha2LkZsv50wZDPGz4gKy1w8+XDtiXwx5suLbstTOzh2wnkw37/ge4PBhcZjsEkF36hhYithaQkmDULunaN9uhERGR36mglhGlrBWwrp7GIiNRIxrgZrTZt4OKLoXVrd9GckxODhY0jUeJero9hw1RY9wOsH+fqUAUqyHQB0OwroMlASGoESQ0hsR5s2QoFOyBrJeBxM02hAVnoTFVcskvH3vAQ2PoTbFtclJq+GAspTYODLIi5JBeBwhUijouDVasUaImIxIJIA63vgOuBiwu/tsaY2sA9lFIXS0REInfhhbB6tUte4BeThY3LUtperpYnuAe4AshLHiNoiaHNh99fdY9A+RMCvvC5QO3Tui7l+oYdLjL9KAmst6ibNwd2LIec9dDwYLeHrF53yNsKC24OnnGL8b1X4cybFxxkgQvOq0RtNhGRGiDSQOsGYLwx5lcgGfgIaA+sB86soLGJiNQ4Pp+b4QosMFtlChsHimQmqPHhsPzF4gHPQa9A/Z4uocbOjW6pXzh1DnAzZetHAQYatoENP4Z0MtD5RjjwjqImnxf++iym916VJSfHzXKGUiFiEZHYEVGgZa1dY4zpDpwD9AQ8wCvAe9banNLOFRGRyPXo4S6WQ5eDHXBA9MZUYUpaYtj6rMIlgZ1cP09CYbHggNmq+HToMsIFcosWurb9b4Sp84sHbqGFlEubcasCNm6Ek06CadOgfXtYt84F4ypELCISW8oMtIwxCcBfwJHW2v8B/6vwUYmI1FChhY3j4yE/Hx59FA4+2NXfqjYiDXiaDYH4RVCw3X9i+BmokgK3cDNVMbz3qjTLl7vaa6tXwyefwCmnFNVmUyFiEZHYUmagZa3NN8bkE7SIXkREKkJoYePu3WHHDrjkEujVCz77DPr1i/Yoy1EkAY8nDup1dVkH09q42axwmQmr+ExVWaZNgxNPdEtLx48v+jlQIWIRkdgU6R6tZ4FbjTEXWWsLKnJAIiI1XWhhY4AuXeDkk2HAAHj2WbjssqgNL0oMJDWAtNbuy5KCpyo6U1WWTz5xxYdbtYJvv3VLBkVEJLZFGmgdBgwA1hhjFgFZgQettSeW98BERKTIgQfCnDlw7rlw+eXu86efdjMbVbbelpTIX4h43jxYuRLeeAP694cvvoCGDaM9OhERiUSkgdZG4LOKHIiIiJSuXj0YPRruvBMeeAA+/hgKCqpwvS0JK7AQsT8pSuPG7t82LS26YxMRkchFkgwjHpgNfGGt/bvihyQiIiWJi4P773fp3x98sKi9StbbkrAyMmD6dMjOLmrLzoYJE/RvKyJSlXjK6lC4J+tRIKHihyMiIpFISXFJEQL5621J1fbWW8FBFujfVkSkKioz0Co0A+hVkQMREZHI+ettBTIG9tknOuORvbdli9uD9+mn4An566xCxCIiVU+ke7ReBR4zxrQC5lI8Gca88h6YiIiULLTeVmKiq7d1/fUuWcLxx0d7hLI7xo+HCy90xYfvvdctE5w9W4WIRUSqskgDrfcLPz4R5pgFtPVaRKQShau3te++bkZk6FC44QaXMCMxMdojldLk5sLtt8MTT0DHjm5vVu/ecNttKkQsIlLVRRpota3QUYiIyG4LV29rxgy48UZ4/HGYPBk+/BBat3YX7UoDH33+tO3z50PduvDKK7BoEVx5JTz6KKSmun7h/m1FRKRqiSjQstb+WdEDERGRvZecDM89B0ccARdf7GZDWrd2tZgCl6EpDXzlC5e2PSEBvvoKTjghumMTEZHyF2kyDIwxXY0xbxtj5hhjZhtj3jLGdKnIwYmIyJ459VQ3a9K8uZsxycx0KeED08BL5fKnbfcHWeCWdoZmjxQRkeohokDLGHMiMA/YB8gAxgCtgPnGGN2HExGJQW3awNlnF29XqvDKt3272zMXmrY9O1v/FiIi1VWke7TuA+631t4V2GiMubfw2NflPTAREdl7vXtDenrwLIoxUK9e9MZUk1gLH38M110Ha9dCfDwUFBQdV9p2EZHqK9Klgx2Ad8K0vwN0LL/hiIhIefKngU9PdwFWUpKr0XT11e7if9u2aI+w+lq2DI4+2s0qNmsG06bBgAFF/xbp6UrbLiJSnUU6o/UPrmDxbyHtvYD15ToiEREpN+HSwPfpA3fdBU8/De+/Dw8/DBdc4GZflJ1wzwRmE9x/f5g3Dx57DFJSXHKSyy8P/2+h77GISPW1OwWLXzbGtAemFbb1B24EHq2IgYmISPkIlyr8xRfh0kvhqqvgoovgpZfA54MlS5SdcHcFZhPMynJt1rqaZo8/Dk2bFvVV2nYRkZpjd/ZoZQI3ACML2/4G7gKeqYBxiYhIBevZE6ZMgXfegWuuCV5GGJidUEFB6fzZBAMTXSQnwznnBAdZIiJSs0S0R8s6T1prWwJ1gDrW2pbW2qettbZihygiIhXF44ELL4T//Kf4MWUnLNuaNW4ZZmg2wZ079b0TkZJ5fV5GLxvNyEkjGb1sNF6ft1L6SeUqdUbLGFMLOAX4wlq7HcBau6PwWB3gJOAza21WJC9mjGkGPAQcB9QC/gCusNZOKuWcA4HngD7AZuBlYKQCPBGR8tOvX/HshNbCN9+4hA59+kRvbLFo2zZ45BF48knIz3eFh/Pzi44rm6BI9eL1ecn4LYP5a+fTo1kPhrQfQpyn+LrqSPp5fV6OefcYZq6ZSVZeFmmJafRt0Zex540N6lve/cr7fVREv+qmrKWDlwMDrbVvhx6w1m4zxpwJNAYeK+uFjDF1ganAFOB4YAOwLy7RRknn1Aa+ByYDBwGdgDeALODxsl5TREQi489O6N9nlJoKjRrB0qWufdAguOUWOOIIGDOm5iTMCExy0aMHHHkkvPYa3HsvbNwI//oX3HMPXHZZ0ffOv79N2QRFYl95Bkb53nwGvzOYOX/PISc/h+T4ZA5odACPHf0YPusjz5tHvi+f6X9NZ+qqqeR6cwHIzMtkyqopXDf2Oro26Yq1Fotl4bqFTFk1hZ3enUH9rh97Pb2a9yLOxBHniWP+2vnFnm/qX1N5cMqD9N+nP3GeOOKMG+d1Y69j0T+LyC3IJSUhhe5Nu/Px6R+TmpBKUnwSSXFJANUmEIw2U9rEkDFmDnCHtTajhOPH4upr9SrzhYx5ABhgre0f8eCMuQJ4GGhirc0pbBsBXAG0LGtWq3fv3nbOnDmRvpyISI3mDyoCM+JlZ8Orr8ITT7hlcunprg7Uzp2VmzBj4ED3ceKIwk8GTyw69qZrmzhsIuUpNMlFUpJLy56T4wLORx6BXr2K+iqboEjs2JMAKjUhlR7NevDS8S+RmZfJ1tytbNu5jcl/TubVea+S583bdW6ciaNjw47Embhd/bbv3F7Zb7NCePDgwxfUZjC0rtuaRqmNSI5PJik+ia05W5m/bj5eW7RMMcGTwAkdTuCAxgeQFJdEUnwSyzct562Fb+0KGAGS45MZcfgIBrYeSFJ8EsnxycSbeC75+hIWrFtAdn42aQlp9G0ZW4FbSf2MMXOttb1D+5cVaG0DDrTWrirheCvgJ2tt3RKfpKjvL8AYoAUwCJdM4zXg+ZICJmPM20ADa+3xAW0HAbOAfa21K8KcMxwYDtCqVatef/75Z1lDq5ZifWq4qtyJEBEnLw9uugmefdYtKfRLS4MPP6z4hBnRCLRGj3YJLQKXU3o8cOed7mFMub6ciERgtwKo1TPJys8iJT6Fjg07cn2/69mQtYH1WetZn7Wen9f/zPx18/FZXwmvVro2ddvQvWl36iTVoW5yXRauW8jEPycG9TEYLuh2AcO6DyPBk0BiXCLTV0/n1h9uJbugaHNnakIqzw15jsH7DsYYg8d4+OGPH7jymyvJys8K6vfMsc8wsM1AvNaL1+dl/Irx3Pz9zUHPlxKfwl0D7qJvy754fV681ss7C9/hvZ/fw2KDxje0w1COaHsEOwt2stO7k3F/jGPyqsnF3m+nhp1oU7cNuQW57CzYycqtK1mbubZYvzgTFxR87a26yXVplNqIWkm1qJVYi+z8bOavnU+BLar+nhiXyKU9L6X/Pv1JT0ynVlItUuNTuXbstfy0/qddgVufln347rzvyn1mLj4uPmygVdbSQYNbGhg20Co8FmnR432BK4Encfu0ugPPFh57roRzmgKrQ9rWBxwrFmhZa18BXgE3oxXh2CpUea/rjdW1v9GcQhaRipWYCA0bFm/PyoLbboNateDww6tP8LFypauDFRhkgQsy4+Kqz/sUiRV7OgPVuVFnbj7kZtZmrmX19tWs3r6ahesXsmTDkl0BRXZBNvPXzef8z88H3KxLk/Qm+Hy+sEHWGfufwbDuw6ibXJc6SXWY/fdsrvr2qqCAJz0xnWeHPMvQDkV3mUYvG82ctXPIzCv6xZGWmMbp+5/OwDYDd7X1bNaTr379qth10AXdLgh6z/868F+8vfDtYv2GdR8W1K9Dgw58vvTzYv1uPOTGoH553jy++PWLYuMb3mt40Pvo2awn89bNC+qXnpjOo0c9Wuz9nvPZOcX6fXDaBxy/3/Hk+/LZWbCTr5d9zaVfX0p2fnAgeMfhd9CzWU92eneys2AnHy3+iFFLRgUFggDt6rWjff327MjbQWZeJqu3rw4Ksvzv7fnZz/P87OdD/zl3yczPZPyK8aQ9kEatpFqkxKeQkpBCvjefP7f9uetnITMvk0l/TuK4946jY8OOu/qt2LqCH1f9uGtm079E86GpD5X4mmXNaE0DRltrHyjh+AjgeGttvxKfpKhvHjDHWntIQNsDwCnW2s4lnPMdsNpa+++AtlbAn8Ah1trppb3mni4djIkNjwlp9Grei49P/5gCW0CeN4/svGwu+uoifl7/M7kFuSTHJ9OhQQdGHDaCAluw607E3L/n8ubCN4OmuBM8CQxoPYCGaQ3Jzs8mJz+H1dtX8+vGX4Omhw2G2km1SYhL2HUHxP+8oRI9iSTEJeAxHowxeH3eoF9C/ufbt96+NKvVjJT4FFITUtmcs5npq6dT4Cv6nyQpLokrD7qSgW0GUjupNnWS6pCemM7FX13M/LXzycpXQCYSbeFmeBIS3CM7Gzp2hOHDXRbDunXLt/hxec9ohe69GjLE1REbPRpeecUth/QHVd6AG7Pp6fDBB0p5L1KeSrtWys7P5tdNv7JkwxK+WvYVny/5vMTZkqS4JFrWbonX52XltpVBxwyG//b9L3cPuJu6yXUxxpQaKAQGFBV5I3nBugV0b9q9zGvN8ugX6zfYI/33CNcvLSGN5497nr4t+7Jj5w525O3gtXmv8eGiD4sFboe0PISuTbqS680lJz+HBesW8OumX4t9T9MT04n3xJOTnxP2OjjI3ezR0sFLgKeBc621X4YcOxl4D7jGWvta6a8Oxpg/ge+ttZcEtJ0PvGStTSvhnN1eOhgoNNAq78Do6HePZubqmWTnZ5MSn0LnRp25Z+A9ZOVnsS3XrdWd8/ccPlvyGfm+onRUcSaOTg07kZqQSk5BDjn5OWzJ3cLmnM1lfRv3Su2k2jRNb7or4FmXuY4VW4t/Cw9qfhAHNT8Ij/EQ54lj9prZTFs9rVi/Q/c5lL4t++Kz7o7QzNUzmbFmRrF+HRp0oEWtFi7AK3AB3p6+V4/x0KNpD/ZvtD+NUhvRKK0RDVIa8Nys51i+eTm5BbmkJqRycMuDFZCJlLPQPUv+PVqffw6jRsHLL7t6UgkJUL8+bN8Oubnls5erPAOt0PeRkuISf+Tmwvr10KIFXHKJCxgvvbT4+1URZ5HdU9bf3tHLRnP2p2cH3ayNM3HUTa7LppxNu9o8xlNsBspguOKgK7hn4D00SGlQIQFU4Hsor8AoWqIR4EXaL5YCt9B+Puvj8yWfc+EXFwb9nPpn5m47/LbdD7QAjDHvAucCvwJLC5s7A/sBH1trzyn1CYqe531gH2vtYQFtI4HTrLX7l3COPxlGY2ttbmHbbcB/2M1kGGX9o2TnZ7MxeyOjlozi1nG3kluQu+t5EjwJ9G/Vf9dszOaczazLXLdXmx7b1G1Dp4addk1HLt24lHlr5xXrd1z74zih4wkkxSXx7fJv+WzJZ8XW1l5x0BVcddBVJMUnkRiXyKSVk7hs9GXFprj35AersvqlJaTxxDFP0KtZL7bt3Ma23G2889M7fL7082Lfk+bpzUmIS2BD9oagaehQbeu2Zf9G+9Oydkta1GpB81rNeW72cyzbtIyc/BzNkInsgbKSPvz8M9x6q0sLHygpySXVOP/88M9X1sxXpIFWWc/n88H//gf//a8LrAL16QN33AHHHgvx8ZG9XxEpXdjlfg07M7zXcH7Z8AuLNyxm+urpQdcEft2adOOsA86iU8NOdG7UmaUbl3L+5+dHJYCSyhHLgdue7NEqM9ACKEzjfi4uuDLAMuB9a+3HkX7jCmeipgF3Ax8BPXDJMG6z1j5f2OdBoI+19sjCr+vgAryJwH1AB+BN4B5rbZnp3Q/ofoB94YsX2Ji9kfErxvPavNfI8xUtp/MYDw1SGpCZl0lOQU6pz1U3uS7t6rWjfkp9GqQ24I/NfzDr71nB7xHDpT0v5ZqDr9m1/G3Cygn8a9S/yiVIidYUdyxPIWfnZ3PHhDt4cvqTxaaGOzboSGpCKqu3r2ZD9oaw/64e42Fw28Ecue+R7Fd/Pzo06ECbum046cOTIvoFLSLFjRzpiviG+/PSvr3by3XYYdC/P1x+OcyaVfaM0YABsHkzfH3tQGqlQ93TJ+7q4w+0xp0/sdhM1X77ueWOS5bA4sXuY1aYyo/GuJTtI0aU7/dCpDor66bklpwtPDvzWe7/8f6g6y+/lPgU9m+0P3WS6zBl1ZSgLQ8KoKQ8VNbM3B5lHSxvxpjjgQeAjrgEG88Bz/pnpowxb+LqdrUJOOdA4HlcweItwEvAvZEULDbNjeWy0vt0b9qdI9seScPUhjRKbcSKrSt4YvoTQYHX3szelGfwEetrf8u7X3kGZLkFudw67laenvF0sYAsLSEt7N6ywH4p8Sm8c8o7nLb/aWHfh2a+RIqE28uVkgJnnw2bNsGUKS5oAhfgBP42T0qCG25wgVhysjsvIcHV8crMhHG3DcTjgWu/nsj117vne2LzQPLzofWEicya5WatQjVrBgcc4B5eL7z+ukvT7qe9VyK7J9ze8s6NOnN+1/OZ/fdsZq6ZybJNy8KeazBcc/A1PHbUY8R54hRASZVXboGWMeYb4BJrbfF8jjGm3QHt7KujX6VhakPmr5vPVd9cRWZ+1d7wWNN+wVRWQHZYq8NYvnk5yzYt47V5rzFh5YRiYzEYOjToQLem3ejWpBsHNDqAR6c9ysJ1C8tM1iFSk5S0l8s/U+XzwS+/uCWGo0fv3nNPuH0gAIPun1jUOGwgCQlQ78uJ/PNPcH9j3Ovcf3/k4xORsn2+5HPOHXVu0FYLvyZpTejbsi99W/TFWsuDUx4scztDTbu+keqlPAOtHUA3a+0f5TW4irI7e7QCVZcNjzVJRQdkyfHJnNLpFHIKcvhp/U/8sSX8j39SXBIvHPcCF/W4CBOQ/1kzX1LTRLK3KdzMV2oqPPig2y+Vk+P2Ub39tqvVBUWB1hEPTOS//3X1rE772rXd2HBisecraaZKe69ESlbS36z1mev5dvm3jF4+mtHLRgct9QN3Q/L6ftfz6FGP7vobuDvXXyJVVY0PtECBkZRfQLZ953ZuGHsDr80Pn3CzUWojejfvzUHND6Jns548Nv0xFqxboD8yIgEinVkaPRpOOsnNhPkDrROenrgrgCppj5ZmqkR2X+jfwOT4ZJrVakbDlIbM/ns2FkvzWs05sPGBTPpzUtCMVriZKv9z6vpLqrPyDLQWAUOstX+V1+Aqyp7W0RKJ5I9CuJmvlPgUhnUbRq43lzl/z2HxhsVhiyGmxqfy4ekfckLHEyr8vYjEskhmlrxeVyx5+3a3RyvOA/dMnbgrgAqXdVAzVSJ7pqQlgfvV34/zu57P0A5D6d60Oz7r00yVSKGYSIZR2RRoSUWKZOYrKy+La8Zcw+vzXy92fmpCKsfvdzwD2wxkYJuBdG7YGZ/1aYmhSBj+rIOjrx1IeglZB3enYLFITVTSksBtudvI+C2DL5Z+wedLPw+7JPDeQfcy4vARYZ9PM1VS05UUaMVHePIAINdaO7Pw62HAJcBi4AZrbfHiByLVXJwnjrHnjS31j0xaYhondzqZjxZ/FDTzlRSXxMEtD2bG6hl88ssnADRMaYjHeNi2cxt53jzdHRQJYAw0aACtWxc26H8Jkd0Srp5Vy9otaV2nNRNWTiDfl0+j1EYMbD2QyasmB81opSWm0b1p92LPGeeJY2iHocWWCoqI44mw31NAUwBjTEfgZeAnoB/waIWMTKQK8P+RGXH4CIZ2GBo2IBrSfgh9W/QlPTEdgyE9MZ1DWx3Kd+d9x5/X/snvV//O6ye+zoFNDmRD9gZ2endisWTmZTL5z8k8M/MZqvPMs4iIVLyM3zJ2FQa2WLLys/h106/8tP4nrul7DVMumsLaG9by7b++pf8+/YP+ZvVt0Zch7YdE+y2IVDkRzWgB7YGfCz8/DfjeWnulMaYv8BlwRUUMTqQ6KGvma996+7JvvX1Zs30NE1dODDo335fP9d9dzxMznuDkjidzSudTOKzVYXiMR0sMRUSkTH9t+4uPF3/MkzOeJDs/O+iYwXDlQVdyx4A7gtrLWq0hIpGJNNDyUbRQ40jg88LP1wENyntQItVNJMsrejTrQVpiWtASw7SENC7teSkrtq7gtfmv8dzs56ibVJfkhGS25m5lZ8FOLTEUEanhQvdedW/SnVFLR/HR4o+Y9tc0ANrVa0diXGLQ/qu0xDR6NOtR7Pm0JFCkfEQaaM0G7jDGfA8cBgwvbG8DxHzhYpGqwL/EMDS5xmNHP0acJ46svCy++/07npv9HONXjN91XmZeJtP+mkbGbxn6oygiUsP4917NWD2DrPwsPMazK9vtgY0P5L5B93FWl7NoW7dt2AROWhIoUnEiDbSuBd4HTgLut9b+Xth+BjC9AsYlUuOUtcQwLTGNUzqfwqJ/FjFhxQQsRfu2cgpyGP71cO4ccCfnHngutZNqR+ttiIhIJSnwFXDPxHuYuHIiXusFwGd9JHoSeerYp7jioOCdHVoSKFK5Igq0rLWLgK5hDt0IeMt1RCI12J4uMUyKSyIpPokrvrmCG767gbMPOJtLe11K72a9GfP7GO3lEhGpgkpKx75041LemP8Gb//0Nusy1xU7L9+Xz6acTcXatSRQpHJFmt7dA2Ctm4s2xjQFhgK/WGunVdzwRCRUSUsMx/xrDPPWzePVua/ywaIP+N+C/5GWkEa+L598b772comIVCHh0rG3qtOKesn1mLZ6GnHGBU0HNj6Qp2Y8RWZ+wP7eEtKxi0jlinTp4DfAGOBpY0w6MAdIA9KNMRdba9+uqAGKSLDSlhj2adGHPi368MQxT3DbuNt4Yc4Lu9bqZ+ZlMn31dO3lEhGpAjJ+y2Dmmpm7Vi9k5WexZOMSWtRqwSODH+H8bufTNL0pXp+X6auna++VSAyKNNDqDdxc+PmpwHagLfAv3PJBBVoilais5R+1kmrROK1xsfpb2fnZ3Pz9zdRLrsch+xyCMaYyhisiIrvBWsvHiz8OWiIOLh37Zb0u46b+N+1qK2t/r4hET6SBVjqwtfDzo4HPrbX5xpjxwPMVMTAR2Tvh9nIleBJYtW0Vh75xKH1a9OGGfjdwaudTMRjV5RIRiTKf9fHVr19x/4/3M+fvORhMUOIjpWMXqVoiDbRWAf2NMV8Dx+CyDQLUB7JLPEtEoqakvVyjzhzFuz+/y5MznuSsT8+iVe1WJMUn8feOv8nOz9ZeLhGRChaa5OLofY/msyWf8cCUB1j0zyLa1WvHy0Nf5sNFHzL779laEihSRUUaaD0BvANkAn8CkwvbDwd+roBxicheKm05yZUHXcllvS5j9LLR3Db+Nn7Z8Muu8zLzMpm5Zqb2comIVIDQJBeJcYl4jIecghz2b7Q/757yLmd1OYt4TzwX97hYSwJFqrBI07u/bIyZC+wDfO/PPgj8DtxRUYMTkb1T2nKSOE8cJ3U6iZ/W/8RdE+8KWp6SmZfJ5D8nK9ASESlnGb9l7CouDLDTuxOP8XDrobdy3xH34XGJngEtCRSp6iKd0cJaOweXbTCw7ZtyH5GIVKpwe7kAnpzxJNt3bueWQ2+hTd020RmciEg1kpmXybOznt0VZPlZa0lNSA0KskSk6ov4/2hjzPHGmMnGmI3GmA3GmEnGmOMqcnAiUvH8e7nSE9MxGNIT0zlkn0P4d/d/88aCN2j/THsu+vIilm1ahtfnZfSy0YycNJLRy0bj9aleuYhIWbbmbmXkpJG0fqo13/3+HXEmePmf6l6JVE+RFiy+BHgBeA94q7D5MOBzY8wV1tr/VdD4RKSClbaX644Bd/DYtMd4ee7LvLXgLRqnNWbHzh3kFOQoaYaISIjQJBe9m/XmmVnP8Nys59iRt4MTOpzALf1v4c6Jd6rulUgNYELr7ITtZMxy4Glr7XMh7f8F/mut7VBB49srvXv3tnPmzCm7o4iUan3meq785kpGLR0V1J6emM4Hp32g/QNS4QYOdB8njij8ZPDEomNvuraJwyYiEi2hSS7iPfF4fV58+DjzgDO57dDb6Na0266+SnIhUn0YY+Zaa3uHtke6dLAVMCZMewbQem8GJiKxr0l6E7o37Y4huMBxZl4mM1bPiNKoRERihz/JRWZeJhZLvi8fj8fDC8e/wEenf7QryIKiJBcjDh/B0A5DFWSJVFORBlqrgKPCtB+NS/cuItWcP2lGqGdnPcsLs1+gwFcQhVGJiETfttxtPDrt0WJJLrw+L5uyN0VpVCISbZEGWo8BTxtjXjXGXFT4eA14svCYiFRz4ZJmHNT8IHo07cF/vv0PXV/syrfLv8Vaq6QZIlIj7CzYyVMznqLdM+2Y/Odk4j3BW9+V5EKkZtudOlr/ADcApxY2LwHOtNZ+WVGDE5HYUVLSDI/x8PWyr7nxuxs5/v3jGdx2MNvztvPLhl+CNnoraYaIVFWhSS6OaXcMHy/+mBETRrBy60oG7zuYB454gFvH3aokFyKyS5mBljEmAbgfeN5ae2jFD0lEYlVJxTNP7Hgix7Y/lpfmvMRt424LWj6TmZfJzDUzyfgtQ0kzRKTKCU1ykRSfRLyJJzM/kx5Ne/DKea9wVDu3u6KkDK4iUjOVGWhZa/ONMVfi0ruLiISVGJfI1X2vZl3mOh6c8mDQsay8LBasW6BAS0SqnIzfMpi5Zuauou65BbkYDDf0u4FHjnokqMhwSTejRKRminSP1ljgiIociIhUD4fscwjpienF2kMLdIqIVAXT/pq2K8gKVDe5blCQJSISKqI9WsA44AFjTFdgLhCUVsdaOyrsWSJS4/iTZgQus8HCbeNv46d/fuKxox6jRe0W0R6miEiprLW8+9O7vDC7+IIeJbkQkUhEGmj5CxVfHeaYBcq8VW2MuRu4K6R5vbW2aQn92wArwhwaYq0NV9NLRGJAuKQZA1sP5LHpj/HQlIf4+tevuXPAnVx78LXEmbigDebazyAiseCXDb9w5TdXMunPSfRp3se1bfxFSS5EZLdEmnWwvObGfwUGBnwdSc7nY4GFAV9vLqexiEgFCbdP4e6Bd3NBtwu4bux1/N8P/8fr814nNTGV3zb/puyEIhITsvOzGTlpJI9Nf4xaibV4eejLXNLzEqy1SnIhIrst0hmt8lJgrV23m+ds2oNzRCQG7VtvX748+0u+Xf4tF395Mcs2L9t1TNkJRaSyBaZtz/fm89bCt1i1fRXDug/j4cEP0zitsetoUJILEdltpQZaxpghwItAV2vt9pBjdXAzTZdaa7+P8PX2Ncb8DewEZgK3WWv/KOOcUcaYZGA58KS19tMyxjwcGA7QqlWrCIclIpXpuP2OY3iv4dw7+d6gdmUnFJHK4k/bPn31dLLzswFIS0hjwgUTGNh2YFTHJiLVQ1lLAq8CHg0NsgCstduAh4FrI3ytmcAw3FLAS4GmwDRjTIMS+mcCNwJnAsfhEnJ8ZIw5r7QXsda+Yq3tba3t3ahRowiHJiKV7aAWBxXLTmiMoUFqSb8SRETKz7fLv2XKqim7giy/zPziGQZFRPZEWYFWV+CHUo6PB7pF8kLW2gxr7cfW2p+stT8AQwtf/8IS+m+01j5urZ1hrZ1jrb0TeBm4OZLXE5HY5s9OmJ6YjsGQFJeEx3i4JuMa7pt8H3nevGgPUUSqqdXbV3Pd2OvY6d0Z1J6dn82CdQuiMygRqXbKCrQaAb5Sjltgj24/W2szgcXAfrtx2szd7C8iMcqfnfCD0z7g3kH38umZn/LnNX9yaudTuWPCHfR+pTez1syK9jBFpBqx1vL2wrfp8kIXVm9fTVJcUtBxpW0XkfJUVqC1GjerVZKuwJo9eeHCfVedgLW7cVr33ewvIjHMn51wxOEjGNphKM1rN+fD0z/ky7O/ZHPOZvq93o/rx17P9tztjF42mpGTRjJ62Wi8vkgSloqIFFmfuZ5TPjqFC7+4kAObHMjCyxdyaKtDd82qpyemK227iJSrsrIOfgOMNMZ8a63NCTxgjEkF7i3sUyZjzGPA18AqoDFwB5AGvFV4/EGgj7X2yMKvLwTygfm4WbUTgP8A/xfROxORKuvEjicyoPUAbvnhFp6c8SQvzn4RDOws2Kk08CJSpsBsgj2a9SArL4v/fPsfMvMyefzox7mm7zVha/4pbbuIlKeyAq37gdOBZcaY54Clhe2dcYkyDPBAhK/VEvgAaAhsAGYAB1tr/yw83gxoF3LOCKA1rt7WMuDf1tp3I3w9EanC6iTX4cWhL9KqTituH387FgsoDbyIlM6fTXDmmplk5WURZ+IosAX0ataLd055h86NOu/qG67mn4hIeSk10LLW/mOMOQSX4v0BXGAFbm/WWOA/1tr1kbyQtfbsMo4PC/n6LQpnu0Sk5irwFRRry8rLYv7a+bo4EpFiMn7LYOaamWTmueyBBbaARE8idxx+R1CQJSJS0crao4W19k9r7XG4mai+wMFAQ2vtcdbaFRU9QBGp2Xo060FaYlpQm8Uyaskoft/8e5RGJSKxavpf03cFWX75vnx+/ufnKI1IRGqqMgMtP2vtFmvtbGvtLGvtlooclIiIX2ga+LSENDo06MBvm3+jy4tdeHjKw+R786M9TBGJAT/88QOvzH2lWLuyCYpINJS1R0tEJKpK2rC+LnMd/834L7eMu4X3F73PK0NfoXfz3kEb4LWxXaRmyMrL4ubvb+aFOS/QoX4H2tRtw9JNS8nKy9qVQEfZBEWksinQEpGYF27DeovaLRh11ii+WPoFV317FQe/fjAta7VkS+4WsvOzlZ1QpIaYsmoKw74Yxh9b/uC6g6/j/iPuJzEuUdkERSTqFGiJSJV2cqeTOaLtEZz72bl8s7yo2oSyE4pUP4Fp2w9ofABTV03lyRlP0qZuGyYOm8jhrQ/f1VfZBEUk2hRoiUiVVzupNn1b9OXb5d/uSgMPbjnRgnULdLElUg2Epm0HlxhneM/hPH7M46Qnpkd5hCIiwSJOhiEiEsvCZSc0GBqkNIjSiESkPGX8lsHM1S5tuy38Lzk+mRM6nqAgS0RikgItEakWQrMTJscnE+eJ4/qx1/Pq3Fex1pb9JCISs3744wcy84PTtu8s2MmCdQuiMyARkTJo6aCIVAvhshN2b9Kdi766iOGjhzP297G8csIr1E+pH+2hishusNby5oI3eWnOS8WOKW27iMQyBVoiUm2Ey0449ryxPD7tcW4bfxsz18zkvVPfo/8+/ZUGXqQK2JyzmeFfD+ezJZ8xoPUACnwFLFy/UGnbRaRKUKAlItWax3i4qf9NDGo7iHM+O4eBbw6kdd3WbMzaSFZ+ltLAi8So8SvGc8HnF/BP1j88MvgRbjjkBqy1StsuIlWGAi0RqRF6N+/NvOHzOOWjUxi3YtyudqWBF4m+wLTtXRp3YcqqKTwx4wk6NujIV+d8Rc9mPV1Ho7TtIlJ1KNASkRqjVlItBrQewPgV45UGXiRGhKZtNxh8+Lis12U8ccwTpCakRnuIIiJ7RFkHRaRGCZcGPs4TR8cGHaM0IpGaLTRtuw8fyfHJDO0wVEGWiFRpNXZGy+fzsXr1arKysqI9FJE9kpCQQOPGjaldu3a0h1Kl+NPA+++ex3viyfflc9u429i33r70at4r2kMUqVFmrp5ZYtp2zTKLSFVWYwOtjRs3YoyhY8eOeDya2JOqxVpLTk4Oa9asAVCwtRvCpYFPS0jjgi8uoN/r/XjgyAe4vt/1eIx+L4hUtF83/srbC98u1q607SJSHdTYK4mtW7fSpEkTBVlSJRljSE1NpUWLFvzzzz/RHk6V408DP+LwEQztMJRBbQex8PKFnNDxBG76/iaOffdY1u5YG+1hilRrn/7yKb1f7U12fjY9mvbYVWw8PTFdadtFpFqosTNaXq+XhISEaA9DZK+kpKSQn58f7WFUC/VT6vPpGZ/y2rzXuGbMNXR7qRuvnfAaHo9H9bZEylG+N5+bv7+Zp2Y+Rb+W/fj4jI9plt5MadtFpNqpsYEWuFkBkapMP8PlyxjDpb0u5dBWh3L2p2dz0kcnkeBJoMBXoHpbIuVgzfY1nPXpWUz9aypX97maR49+lMS4REBp20Wk+qnRgZaISDidG3XmroF3cfanZ5PvczOGqrclsvsC62N5PB6envE02fnZfHjah5zV5axoD09EpEIp0BIRCWPxP4sp8BUEtanelkjkdtXHCsgqmJqQysyLZ9KlSZcoj05EpOIpE4SISBjh6m1ZLJP/nEx2fnaURiVSdWT8lsGM1TOCUrcbDCu3rYzeoEREKpECrSpo/fr1XHfddey3334kJyfTuHFjDjnkEJ599lkyM90ftDZt2mCMwRhDSkoKnTp14tFHH8Vau+t5Vq5cuatP6GPMmDEAvPnmmyX2yc3NBWDYsGEYYxg5cmTQOCdOnIgxho0bN0b0vr744gv69etH3bp1SU9Pp1OnTlxyySVBfay1vPbaa/Tr149atWpRu3ZtevbsySOPPML27dsBuPvuu+nSJbK7pSW9v6eeemrX8fT09LDnlvQ6/u/rnDlzAHj11VepXbs2K1euDOo3YsQIWrRowebNmwGYPHkyJ554Ii1atMAYw5tvvhnRe5CK4a+35c+ElpaQRps6bfj+j+856NWDWPzP4mgPUSSmffXrV2TlB9eqzM7PZsG6BdEZkIhIJdPSwb0QuPa8sjKSrVy5kv79+1O7dm1GjhxJ165dSUlJYfHixbz22ms0aNCAc889F4A777yTK664gtzcXH744QeuuOIKateuzWWXXRb0nGPGjKFbt25BbfXr19/1eWpqKr///nuxsSQnJwd9/uijj3L55ZfTqFGj3X5f48aN44wzzuCee+7hjTfeIC4ujqVLl/LFF18E9Tv//PP57LPPuO2223j66adp3Lgxixcv5rnnnqNx48YMGzZst1873Psrz7pUl156KZ9//jnDhg1jwoQJGGOYOXMmDz/8MF999dWu73VmZiZdunThggsu4IILLii315c9E67e1pD2Qxi/YjznfX4eB716EM8d9xwXdb9ISUlEAlhreWrGU7w+/3UMBkvRDT7VxxKRmkSB1h7atfZ8zUyy8rIqLSPZFVdcgcfjYc6cOaSlFS1ratu2LUOHDg2asapVqxZNmzYF4JJLLuHFF1/ku+++KxZoNWjQYFe/cIwxpR4HGDRoEKtXr2bkyJE888wzu/2+vv76a/r27cttt922q22//fbjhBNO2PX1xx9/zHvvvcdnn33Gqaeeuqu9TZs2HH/88WzdunW3Xxcie39767XXXqNLly489dRTXH755Vx44YX8+9//ZsiQojoxxx13HMcddxzAHgWMUv789bYC92Qd1e4oFl6+kPNGncfFX13MuBXjeH7I80z5a4rSwEuNtyVnCxd9eRFf/volJ3U8iS05W5i3bl7Q30nVxxKRmkKBVqFrx1y7W8sZNmVv4peNv+CzPsBlJJuwcgLdX+pOg9QGET1H96bdeerYpyJ/zU2bGDt2LA888EBQkBUo3J11ay2TJk1iyZIl7LfffhG/3u7weDw89NBDnHzyyVxzzTW0a9dut85v2rQpS5cuZeHChcVm1/zee+89OnToEBRkBapbt+7uDrvSNG/enOeee46LL76YKVOmkJeXx+OPPx7tYckeaprelLHnjeWhKQ9xx4Q7+HzJ5wDkFuQqDbzUWLPWzOLMT85kzY41PHnMk1zT9xp81qf6WCJSY2mP1h7KzMvcFWT5+ayPzLzMEs7Ye7/99hvWWjp27BjU3rJlS9LT00lPT+fyyy/f1X777beTnp5OUlISgwYNwlrL1VdfXex5Dz/88F3n+x/btm3bdTwrK6vY8UMOOaTY8xx33HH079+f22+/fbff23//+1/69u1L9+7d2WeffTj99NN56aWXdu05A1i+fDmdOnXa7ecuS7j3VxHOPfdc+vbty6hRo3jttdcq7HWkcsR54rj98Nt54MgHyC3IJacgB4sNSgMvUl15fV5GLxvNyEkj+frXr3ly+pMc+r9DsVimXDSFaw++FmPMrlnhEYePYGiHoQqyRKRG0YxWod2ZWQIYvWw053x2TlBglZ6YzrPHPVvpqZ9//PFHvF4vw4cP35WgAuD666/n4osvZsOGDdx+++0cffTRYQOk999/v1hSh1q1au36PDU1lQULFgQdT0pKCjuWhx9+mH79+nHTTTft1ntIS0vjm2++4ffff2fChAnMmDGDW2+9lQcffJBZs2bRpEmToGWR5Snc+6sIixcvZsaMGaSmpjJ58mSOOOKICn9NqXj53vxibUoDL9VZ6NJ5j/HgtV5O6HACb578JvVT6pf9JCIiNYACrT3kz0gWukerIteet2/fHmMMS5cuDWpv27Yt4AKGQA0aNKB9+/a0b9+ezz77jP3224++ffsyaNCgoH4tW7akffv2Jb6uMabU44H69OnDaaedxs0338wdd9wR0TmB2rVrR7t27bjkkku4/fbb6dChAy+++CJ33303HTp0YMmSJbv9nGXZnfcXqHbt2kEzf37+vWJ16tTZ1VZQUMAFF1zASSedxFlnncXZZ5/NSSedRI8ePfZ43BIb/GngQ2ezU+JTojQikYqV8VsGM9fM3PUz77VeEuMSubTnpQqyREQCaOngHvJnJPvgtA+4d9C9fHDaBxW+J6NBgwYcffTRPPfcc0FL6iJRr149rrrqKq677roKmxnye+CBB/jxxx93pYjfU23atCE1NXXXez333HNZvnw5o0aNCtt/T5Nh7KmOHTuydu1a1q5dG9Q+b948EhMTdwXAAPfddx9///03L7zwAqeeeipnnHEGF154IXl5eZU6Zil/oWngU+JTSIxL5P9++D8en/Z4sSXGIlXdvLXzit1YyPfms3D9wiiNSEQkNlXqjJYx5m7grpDm9dbaElO+GWMOBJ4D+gCbgZeBkbaio4UIhMtIVtFeeOEF+vfvT69evbj77rvp1q0b8fHxzJ07l4ULF3L00UeXeO6VV17Jww8/zCeffMKZZ565q33Tpk2sW7cuqG+dOnVISXF35K21xY4DNGrUiLi44oFl+/btGT58OE8//XTE7+vuu+8mOzub4447jtatW7N161aeeeYZMjMzOfHEEwE488wz+fzzz/nXv/7FbbfdxrHHHkvjxo1ZsmQJzz77LGeccUaFZOvz+XzFlhbGx8dzzDHH0KlTJ8455xzuv/9+mjVrxvz58xkxYgTXXnst8fHuf6+5c+dy//33M2rUKBo0cIlSnn32Wbp06cI999zD/fffD7j07r/99tuu11y1ahULFiygfv36tGrVqtzfl5SPcGngD25xMMNHD+fG729kwsoJvHnymzRMbRjtoYrstb93/M2oJcVvdiltu4hIGNbaSnsAdwNLgaYBj0al9K8NrAM+BroApwM7gBsieb1evXrZkvzyyy8lHot1a9eutVdffbVt166dTUxMtGlpabZ37972gQcesNu3b7fWWtu6dWv76KOPFjv30ksvtZ07d7Zer9euWLHCAmEfr776qrXW2jfeeKPEPsuXL7fWWnvhhRfa448/Puh11q9fb9PT0y1gN2zYUOZ7Gj9+vD399NNtq1atbFJSkm3UqJEdOHCgHT16dFA/n89nX375ZdunTx+blpZma9WqZbt3724ffvjhXe/9rrvusgcccEBE38s33njDpqWllXo83Htv0KCBtdbaNWvW2AsvvNC2bt3apqSk2M6dO9uHHnrI5uXlWWutzc3Ntfvvv78dNmxYsecePXq0jY+Pt7NmzbLWWjthwoSwr3XhhReW+h6q8s9ydebz+eyzM5+1iSMTbYvHW9jJKyfbAm+B/frXr+29E++1X//6tS3wFkR7mFXGgAHuYb8f4B6Bx94YYAe8MaDYOVK+vlz6pW3wcAObcl+K7fRcJ5t+f7o1dxub/kC6PfKtI/XzLCI1FjDHholFjK3EiaHCGa3TrbVdyupb2P8K4GGgibU2p7BtBHAF0NKWMfjevXvbOXPmhD22ZMkSOnfuvBujF4lN+lmObfPWzuOsT8/i982/07ZeW/7J/Ies/MqrvVddDBzoPk4cUfjJ4IlFx950bROHTUTKX3Z+Njd+dyMvznmRHk178MFpH9C+fnulbRcRKWSMmWut7R3aHo09WvsaY/42xqwwxnxojNm3lL79gB/9QVahsUBzoE1FDlJEpDz0bNaTucPncmirQ/ljyx9k5mcqDbxUGT+t/4mDXj2IF+e8yI39bmT6xdPp2LCj0raLiESgsgOtmcAw4FjgUtzSwWnGmJIq/DYF1oe0rQ84VowxZrgxZo4xZs6GDRv2fsRSLi6//PJitarC1f4qbwcccECJr/vee+9V2OuKBKqdVJvB+w7GEFxQ3J8GXiRW+Otj3TvpXoZ/PZyDXjmIzTmb+e6873j06EdJig9f2kNERIqr1GQY1tqgW7fGmBnAH8CFwBPl9BqvAK+AWzpYHs8pe+/ee+/lxhtvDHusdu3aFfa63377Lfn5xescATRp0qTCXlckVM9mPYulgY/zxNGhQYcojkqkiL8+1ozVM8jKzwKgQUoD5g+fT9NaJeasEhGREkS1jpa1NtMYsxjYr4Qu64DQq+EmAcekimjcuDGNGzeu9Ndt3bp1pb+mSDihtffiPfHk+/K55Ydb2Kf2PvTbp1+0hyg1XMZvGUz9ayq5BUWF73cW7GTO2jkMraXi2yIiuyuqdbSMMclAJ2BtCV2mA4cV9vM7CvgbWFmxoxMRKT+htfdGnTWKCRdMwGd9HPrGodw14S7yveFnX0Uq2s6CnTzw4wNBQRZAVr6Wt4qI7KnKrqP1GPA1sApoDNwBpAFvFR5/EOhjrT2y8JT3cXW33jTG3Ad0AG4B7ikr46CISKwJV3tv4eULuXrM1dw7+V4yfsvg3VPfpV29dmT8lsH8tfPp0ayHMrpJhVqyYQnnfHYOC9cvJMGTQL6vKOBXfSwRkT1X2UsHWwIfAA2BDcAM4GBr7Z+Fx5sB7fydrbXbjDFHAc8Dc4AtwOOU034uEZFoq5Nch7dOfouh+w3lstGX0f2l7rSu05rV21crDbxUKGstr8x9hevGXkdaYhpfnvUlz8x6ZtfyVv/P3pD2Q6I9VBGRKqmyk2GcXcbxYWHafgYOr6gxiYjEgjMOOIND9jmE498/noXrF+5qD0wDHzgTJrI3NmVv4pKvL+GLpV9wdLujeevkt2ia3pTjOxyv+lgiIuUkqskwRESkSIvaLTi186lBgRYUpYFXoCV7yuvz7lqO6vF4eH7W82zM3sgTRz/BNQdfg8e4LdvhlreKiMieUaAlIhJDejbrSXpienAaeBPHvvVKq+0uUjJ/2vaZq2eSme9+rlLjU5n272n0btE7yqMTEam+opp1UPbM+vXrue6669hvv/1ITk6mcePGHHLIITz77LNkZro/om3atMEYgzGGlJQUOnXqxKOPPkpgDpGVK1fu6hP6GDNmDABvvvlmiX1yc112qmHDhmGMYeTIkUHjnDhxIsYYNm7cGNH7+uKLL+jXrx9169YlPT2dTp06cckllwT1sdby2muv0a9fP2rVqkXt2rXp2bMnjzzyCNu3bwfg7rvvpkuXLhG9Zknv76mnntp1PD09Pey5Jb2O//s6Z84cAF599VVq167NypUrg/qNGDGCFi1asHnzZgAefPBBDjroIGrXrk2jRo044YQTWLRoUUTvQ6oPfxr49MR0DIZETyJe6+X6sdfz9a9fR3t4UgVl/JbB9NXTdwVZAMYY1mWpSoqISEXSjNbe8HlhbQZsng/1e0CzIVDBa9lXrlxJ//79qV27NiNHjqRr166kpKSwePFiXnvtNRo0aMC55577/+3deXgUVfbw8e9JWJMQlkhYHQKETRADiExkBsGFRVAyICLIEgERGBVBZUY2AwjIqCMIggr8kFchKrKIKJARg4IKyKrsiyyyCxgkEEhI7vtHdZrupJt0x+4scD7PU0/SVbeqbuWmUzl97z0FwOjRoxk4cCCXL1/mq6++YuDAgYSGhvLUU085HXPFihXccccdTuvKlStn/z4oKIgDBw5kq0uJEiWcvn/ttdcYMGAA5cuX9/q6Vq1aRZcuXRgzZgxz5swhMDCQ3bt3s2TJEqdyPXv2ZOHChQwfPpwpU6YQHh7Ojh07mDZtGuHh4cTGxnp9blfX58uHKD/55JMsXryY2NhYEhMTERHWr1/PpEmTWLp0qf1nvXr1agYNGkTTpk0xxjB69Gjuv/9+du7c6dQe6saWmQbecZ5MpZBK9Fnah4c/epjYqFgmt5lM6RKl87uqqhBIz0hn2oZpXEq75LT+UtolHY6qlFJ+poFWbmWkQ2IbOLserl6EIsEQ1gxarfRrsDVw4EACAgLYuHEjwcHB9vXVq1enQ4cOTj1WpUqVomLFigD069ePGTNmkJCQkC3QCgsLs5dzRUSuux2gVatWHD16lHHjxvHWW295fV2ff/45zZo1Y/jw4fZ1tWrV4qGHHrK//uSTT5g3bx4LFy6kU6dO9vURERG0b9+epKQkr88Lnl3fnzVr1iwaNGjA5MmTGTBgAL1796ZPnz60a3ctm9fKlSud9vnggw8oXbo03333ndPPQd34XM2T+fHJHxn7zVheXfsqX/3yFbMfns191e/TNPDKrV9+/4XYJbGsObKGQAkk3aTbt2nadqWU8j8NtDJteg5+3+p5+Stn4fxOIMN6fTUZTiXC8igoHubZMcpGQZPJHp/y7NmzrFy5kgkTJjgFWY5EJNs6YwzffPMNu3btolatWh6fzxsBAQG8+uqrxMTEMHjwYGrWrJnzTg4qVqzI7t272bZtW7betUzz5s2jdu3aTkGWozJlynhb7TxTuXJlpk2bRt++fVm7di2pqam88cYb193nwoULZGRkULZs2TyqpSrIigUW45V7X+HhOg/Te0lv2nzYhiqlqpB0OYlLaZc0DbyyM8Ywc/NMhq4cSmBAIHM6zuGDnz5gw7ENmrZdKaXykM7Ryq2rydiDLLsM23r/2L9/P8YY6tSp47S+atWqhISEEBISwoABA+zrR4wYQUhICMWLF6dVq1YYY3j22WezHbdFixb2/TOX8+fP27dfvHgx2/a7774723EefPBBmjdvzogRI7y+tmeeeYZmzZoRFRXFrbfeyiOPPMI777xjn3MGsG/fPurWrev1sXPi6vr8oXv37jRr1oxFixYxa9asHM8zePBgoqKiiI6O9kt9VOF0V5W72Nx/MzF1Yjh24RgX0y5iME5p4NXN6/iF47Sf356nlj3FX6v+lZ8H/kxsVCwJPRKI7xzP2FZjie8crwG5UkrlAe3RyuRFzxIAx5bBd92cA6siIXDnVKiSt2Pe16xZQ3p6Ov3797cnqAAYOnQoffv25bfffmPEiBG0bt3aZYA0f/78bEkdSpUqZf8+KCiIrVu3Om0vXry4y7pMmjSJ6OhoXnzxRa+uITg4mC+++IIDBw6QmJjIunXreOmll5g4cSIbNmygQoUKTsMifcnV9fnDjh07WLduHUFBQXz77bfce++9bssOHTqUtWvXsnbtWgID9Z8h5axk0ZI0rtSYz/Z8huHa+0LTwN98HNO2X0i9wMxNM7mSfoWp7aYyqOkgTduulFL5SAOt3KrUzpqTlXWOViX/DcWIjIxERNi9e7fT+urVqwNWwOAoLCyMyMhIIiMjWbhwIbVq1aJZs2a0atXKqVzVqlWJjIx0e14Rue52R3fddRedO3dm2LBhjBo1yqN9HNWsWZOaNWvSr18/RowYQe3atZkxYwZxcXHUrl2bXbt2eX3MnHhzfY5CQ0Odev4yZc4VK136WrKCq1ev0qtXLzp27EjXrl157LHH6NixI40aNcq2/5AhQ/joo49ITEykRg1N6a1ca1SpEcHFgp3SwBsMh5IOkZaeRtHAovlYO5UXMtO2rzu6jotpFwEILR7Kpv6bqFe+Xj7XTimllA4dzK2AQCvxRfN4aDjW+urnRBhhYWG0bt2aadOmOQ2p80TZsmV5+umnGTJkiN96hjJNmDCBNWvW2FPE51ZERARBQUH2a+3evTv79u1j0aJFLsvnNhlGbtWpU4cTJ05w4sQJp/WbN2+mWLFi9gAY4JVXXuH48eNMnz6dTp060aVLF3r37k1qaqrTvoMHDyY+Pp6vv/7aL8Mk1Y0jaxr4oKJBhJUMY/aW2TR5rwlrj6zN7yoqP1u6dylrjqyxB1lgBV8Hfs+eJVYppVTe00DrzwgItIYJNhhpfc2D8e7Tp08nIyODJk2aEB8fz86dO9m7dy/x8fFs27btusPMBg0axJ49e1iwYIHT+rNnz3Ly5EmnJSUlxb7dGJNt+8mTJ0lPT896CsDqeevfvz9Tpkzx+Lri4uIYNmwYq1ev5uDBg2zZsoU+ffqQnJzMww8/DMCjjz5K165defzxxxk3bhw//vgjhw8fZsWKFbRv3z5bKnhfycjIYOvWrU7L9u3badOmDXXr1qVbt2589913/PLLLyxcuJCRI0fy3HPPUaSI1WG8adMmxo8fz3vvvUdYmJUoZerUqZw5c4YxY8bYz/PPf/6TOXPmMH/+fMqWLWv/OXsbVKubQ2Ya+Mx5Nx8/8jEnnz/J4q6LSbqcxN/n/J0nPnuC3y7+RnpGOsv2LmPcN+NYtncZ6Rmu37uqcDDG8Nnuz+i3tB+p6c4f1mSmbVdKKZX/dOhgIVOjRg22bNnCxIkTGTVqFL/++itFixalXr16DBo0iKefftrtvuHh4fTs2ZO4uDgeeeQR+/q2bdtmKztz5kz7w4IvXbpEpUqVspXZt2+f2yF3o0ePZu7cuR5f1z333MP06dPp3bs3p06dIjQ0lPr167N06VJatGgBWEP84uPjmTlzJrNnz2bSpEkEBARQs2ZNunXrRufOnT0+nzdSUlKyDfELCwvjzJkzJCQkMHz4cB5//HFOnz5NREQEgwcPZujQoQBcuXKFXr160aNHD6cU7eXKlWPmzJnExMQQExND06ZNmT59OgD33Xef07lefvll4uLi/HJtqnBzNe8mpm4MD9R4gFe+fYXXf3idJbuWUCGkAsf+sBJnaHbCwm3rya0MXTmUxEOJVA2tyqW0S1y+em1urqZtV0qpgkP8PYwsP915551m48aNLrft2rWLevV0DLsq/PR3Wbmz87eddP20K9tPb3daH1IshPjO8YUqMULLltbX1SNt39y/+tq29611q2NXc6NwTHLRqFIjoipE8fLql5mzdQ5lS5ZlTMsx9GvUjw7xHVh/bL1T2nYNopVSKm+JyCZjzJ1Z12uPllJK3aBuK38bXW7rwo7TOzQ7YSGSmeQiM4AqGlCUq+YqAQQw5K9DGNliJGVLWs/XW9ljJcv3L2frya1EVYzSh1YrpVQBonO0VJ4YMGBAtmdVuXr2l6/Vr1/f7XnnzZvnt/MqVVA0rtSY4GLODzg3GPae3es05EwVHMv3L2f90fUkpyZjMKRmpCIIbz/4Nm+0ecMeZMG14aMjW4ykQ+0OGmQppVQBoj1aKk+MHTuWF154weW20NBQv533yy+/JC0tzeW2ChUq+O28ShUUmdkJM3tHShYtSXDRYD746QPWHFnD6w+8Tqd6nRCR/K6qwkp0Me+neSSnOSfByTAZnL50Op9qpZRSKjc00FJ5Ijw8nPDw8Dw/b7Vq1fL8nEoVJJnZCbMOL1t9aDXPrXyORxY8wj3V7mFK2yk0CG/gNC9Ih6HlHWMMCQcSGPH1CDad2IQgTsM9NcmFUkoVPhpoKaXUDc5VdsL7atzHlqe2MHPTTEYljqLRu42oXKoySZeTuJR2SRMr+EnWJBftItvx/a/fM+LrEaw5soZqpasx++HZfPjTh/x4/EenJBftItvld/WVUkp5QQMtpZS6SRUJKMLApgN5rMFj9F7Sm8/3fm7flpyazPpj61m+f7kmzfCRrEkuShQpQcmiJTmXco6KIRWZ1m4a/Rr3o3iR4vS+o7cmuVBKqUJOAy2llLrJlS1ZlqaVm7Js7zKn4WrJqcms2L9CAy0fWb5/OeuPWUkuAFKuppByNYXYO2J5u/3bBBUNspd11QuplFKqcNGsg0oppWhUqVG27IQAb//4Ng988AAr9q/AGEN6RjrL9i5j3DfjWLZ3GekZ6flQ28LHGMOnOz+1B1mZBKFmuZpOQZZSSqkbg/ZoKaWUypadMLhYMI0rNqZtZFum/TiNdvPaUe8W68HYR84f0XlcHkpLT+OTHZ/w+g+vs/Xk1mzbNcmFUkrduDTQUkop5TY7YWBAIM/f/Twfb/+Yl1e/zMGkg/Z9dB7XNVmTXDS/tTlzts5h8rrJ/PrHr9S7pR4zH5rJ/J/na5ILpZS6SejQwULo1KlTDBkyhFq1alGiRAnCw8O5++67mTp1KsnJ1rCUiIgIRAQRoWTJktStW5fXXnsNY67Nvzh06JC9TNZlxYoVALz//vtuy1y+bD3sNDY2FhFh3LhxTvVcvXo1IsKZM2c8uq4lS5YQHR1NmTJlCAkJoW7duvTr18+pjDGGWbNmER0dTalSpQgNDaVx48b85z//4Y8//gAgLi6OBg0aeHROd9c3efJk+/aQkBCX+7o7T+bPdePGjQDMnDmT0NBQDh065FRu5MiRVKlShXPnzgHw9ttv07BhQ0JDQwkNDSU6OpovvvjCo+tQyhfcPfy2WGAxet7Rk9ioWATn520lpybzzsZ3OJV8Kj+qXCBkJrnotrAbL69+mU4fd6L8a+V5PuF5apStwbJuy9g+aDv9Gvfjfz3/R3zneMa2Gkt853jtDVRKqRuY9mj9CenpsHw5bNkCjRpBu3YQ6Of75aFDh2jevDmhoaGMGzeOhg0bUrJkSXbs2MGsWbMICwuje/fuAIwePZqBAwdy+fJlvvrqKwYOHEhoaChPPfWU0zFXrFjBHXfc4bSuXLly9u+DgoI4cOBAtrqUKFHC6fvXXnuNAQMGUL58ea+va9WqVXTp0oUxY8YwZ84cAgMD2b17N0uWLHEq17NnTxYuXMjw4cOZMmUK4eHh7Nixg2nTphEeHk5sbKzX53Z1fb58iPKTTz7J4sWLiY2NJTExERFh/fr1TJo0iaVLl9p/1lWrVmXSpEnUqlWLjIwM5s6dS0xMDJs2baJhw4Y+q49SudW4UmOCiwU7zTMKIIAv9n1B5f9W5t7q99KtQTf+UfcfhBYPvWmeyfXJjk9Ye2QtV9KvAJCWkUYRKcIbrd9gaPRQp7Ka5EIppW4eGmjlUno6tGkD69fDxYsQHAzNmsHKlf4NtgYOHEhAQAAbN24kOPjaxPXq1avToUMHpx6rUqVKUbFiRQD69evHjBkzSEhIyBZohYWF2cu5IiLX3Q7QqlUrjh49yrhx43jrrbe8vq7PP/+cZs2aMXz4cPu6WrVq8dBDD9lff/LJJ8ybN4+FCxfSqVMn+/qIiAjat29PUlKS1+cFz67vz5o1axYNGjRg8uTJDBgwgN69e9OnTx/atbs2ZKhjx45O+4wfP54ZM2bwww8/aKClCgRX87iaVWnGf1v/lwU7FxC/PZ6+S/vy1OdPUaZkGS5cuUBqemqhnsvl6rlXgQGBnLhwgiW7l7B492JWHVxFhslw3s+kcyntUj7VWimlVEGggZbNc8/B1q2elz97FnbuhAzbvTU5GRITISoKwsI8O0ZUFNhGqHl4zrOsXLmSCRMmOAVZjkQk2zpjDN988w27du2iVq1anp/QCwEBAbz66qvExMQwePBgatas6dX+FStWZPfu3Wzbti1b71qmefPmUbt2bacgy1GZMmW8rXaeqVy5MtOmTaNv376sXbuW1NRU3njjDbfl09PTWbBgAcnJydx99915WFOl3LvePK6GFRsyttVYNh7fyPg141m6Z6k9VXxyajJrjqxhyvopDG422CnYchfIFARZn3tVsmhJKodUpnxwedYdXYfBUKtcLTrV7cQX+74g5WqKfV9NcqGUUkoDrVxKTr4WZGXKyLDWexpoeWv//v0YY6hTp47T+qpVq9p7c3r06ME777wDwIgRI4iLiyM1NZW0tDRKlCjBs88+m+24LVq0ICDAebresWPHKF26NAAXL17MNk+pYcOGfP/9907rHnzwQZo3b86IESP46KOPvLq2Z555hjVr1hAVFUXVqlVp1qwZ999/Pz169LCfe9++fdStW9er43rC1fVlznXzpe7du/Pee++xaNEiVq1a5XLu188//0x0dDSXL18mJCSExYsXc/vtt/u8Lkrl1vWGvokITas0pUmlJizds9RpW2p6Ks8nPM/Yb8bSMqIl91W/j3uq3cOQhCFsOLbBqYcsL3q+cgrw0jPSeXfTu05DAi+lXWL/7/vJMBmMaTmGTvU6cVv528gwGU4BmSa5UEopBRpo2XnTswSwbBl062YFVplCQmDqVOiQx0Pv16xZQ3p6Ov3797cnqAAYOnQoffv25bfffmPEiBG0bt3aZe/I/PnzsyV1KFWqlP37oKAgtmbp7itevLjLukyaNIno6GhefPFFr64hODiYL774ggMHDpCYmMi6det46aWXmDhxIhs2bKBChQpOwyJ9ydX1+cOOHTtYt24dQUFBfPvtt9x7773ZytSpU4etW7dy/vx5Pv30U3r37s3q1as9Tu6hVEGQ+Uwux7lcQUWDGHTnIJIuJ/H1oa/5bM9n2fZLTk1m3dF1LrMYGgznUs5xKOkwpYqFUCYj3WUw5kkPWdaequCiwdQPr8/AOwey+cRmNp3YxNaTW7mYdjHb8QXhiUZPMLLFSPu6QHHf06eUUurmpYFWLrVrZ83JyjpHq50fP8CMjIxERNi9e7fT+urVqwNWwOAoLCyMyMhIIiMjWbhwIbVq1aJZs2a0atXKqVzVqlWJjIx0e14Rue52R3fddRedO3dm2LBhjBo1yqN9HNWsWZOaNWvSr18/RowYQe3atZkxYwZxcXHUrl2bXbt2eX3MnHhzfY5CQ0M5f/58tvWZvYuZPYIAV69epVevXnTs2JGuXbvy2GOP0bFjRxo1auS0b7Fixex1adKkCT/++CNvvvkms2fP9rp+SuUXd3O5Xr3/VXvwcSjpEENWDGHJniVO+15Mu8gTS56gVfVW3B5+Ow0rNKR++fr8dCqZP65c4FDSIQIDAhjzYZtsPV/ZAiiHHjKD4egfRzmcdJglu5ew5vAaUjNSAUhOs9LUrz+2nqCiQURVjKJPoz4ESiDvbXqPS1evzbVyNyRQk1wopZTKKt8CLRF5CZgAvG2MedpNmQjgoItN7YwxK/xYvRwFBlqJL5Yvt+Z2RUX5P+tgWFgYrVu3Ztq0aTzzzDNu0467UrZsWZ5++mmGDBnCli1bXM7l8pUJEyZw22232VPE51ZERARBQUH2YXzdu3fnscceY9GiRS7naSUlJeXpPK06depw4sQJTpw4QaVKlezrN2/eTLFixewBMMArr7zC8ePHSUhIICwsjC5dutC7d282btxIsWLF3J4jIyODK1eu+PU6lPK1683lyhRRJoK+jfvy1cGvnHq+igUUIzIsks0nNrNg54JrB01JtH+bnpHBt4e/5R8f/YPIsEh++f0XALov7M63h78lLSMNsHrIEg8lUumNSpxLOUe6SXdbZ0F4+q6nebPNm/Z6pmek8/Ppn3VIoFJKqVzJl0BLRP4K9Ad+8nCXtsA2h9fnfF6pXAgMtIYJ5uVQwenTp9O8eXOaNGlCXFwcd9xxB0WKFGHTpk1s27aN1q1bu9130KBBTJo0iQULFvDoo4/a1589e5aTJ086lS1dujQlS5YErGQaWbcDlC9fnkAXkWVkZCT9+/dnypQpHl9XXFwcly5d4sEHH6RatWokJSXx1ltvkZyczMMPPwzAo48+yuLFi3n88ccZPnw4bdu2JTw8nF27djF16lS6dOmSq/TuOcnIyMg2tLBIkSK0adOGunXr0q1bN8aPH0+lSpXYsmULI0eO5LnnnqNIEevttWnTJsaPH8+iRYsIs03gmzp1Kg0aNGDMmDGMHz8egH//+9+0b9+eW2+9lQsXLjB//nxWr16tz9JShZInPTzuer4ye6qSU5PZcXoHE9ZMYGmWfdMy0kj4JYHEw4lcSr2EwbBg5wJ7Ao5MGSaDSqUq0b9JfyLKRFCtdDUO/n6QoQlDnYYGBhcLpnXN1k7BoCcBo1JKKeVOngdaIlIamAf0AV72cLezxpjs/+nfhGrUqMGWLVuYOHEio0aN4tdff6Vo0aLUq1ePQYMG8fTTLjsHAQgPD6dnz57ExcXxyCOP2Ne3bds2W9mZM2faHxZ86dIlpx6bTPv27XM75G706NHMnTvX4+u65557mD59Or179+bUqVOEhoZSv359li5dSosWLQBriF98fDwzZ85k9uzZTJo0iYCAAGrWrEm3bt3o3Lmzx+fzRkpKSrYhfmFhYZw5c4aEhASGDx/O448/zunTp4mIiGDw4MEMHWo9O+fKlSv06tWLHj16OKWqL1euHDNnziQmJoaYmBiaNm3KyZMn6dGjBydPnqR06dI0bNiQ5cuX06ZNG79cl1L5LadAJqRYCM2qNuPJJk+yLCCQjIxrPVIhxUKI7xxPh9odaPl+SwBeuPsFun3ajeS0ZKdy4+8d7xTwpWek88nOTzzqqdIhgUoppXJL/JVgwO0JRT4GDhlj/iUiq4HtHgwd/BUoAewD3jTGfOrJue68806zceNGl9t27dpFvXr1vL8ApQoY/V1WN7r0jHRuqb+dP678warhLaw5WkVa2Xu+MgOtVb1WuZ2j5SohhvZUKaWU8gUR2WSMuTPr+jzt0RKRJ4FIoIeHuyQDLwDfAVeBh4GPRaS3MeZDN+fojzUskb/85S9/us5KKaXyV2BAIA0rNORcyjmql4kgpFgIKztkD568GeqnPVVKKaX8LSDnIr4hInWwkl90N8akebKPMeaMMeYNY8w6Y8xGY8xo4F1g2HX2ec8Yc6cx5s7y5cv7pvLqTxswYAAhISEulwEDBvjtvPXr13d73nnz5vntvEop3xKEsJJhVCtTjbCgMLe9T5kB1MgWI+lQu4P2UimllMo3edmjFQ3cAuxwyHgXCLQQkQFAsDHGk/Rq64En/FNF5S9jx47lhRdecLktNDTUb+f98ssvSUtzHddXqFDBb+dVSimllFI3t7wMtJYAWSdMzcGadzUBSPXwOFHACZ/VSuWJ8PBwwsPD8/y81apVy/NzKqWUUkoplWeBljEmCUhyXCciF4FzxpjtttcTgbuMMffZXvcG0oAtQAbwEPBP4F8+qpNfnyellL/ldTIbpZRSSinlmXx7YLEblYCaWdaNBKoB6cBeoI+7RBjeCAwMJC0t7boPi1WqoEtJSaFo0aL5XQ2llFJKKZVFvgZaxpiWWV7HZnk9F/D8YUxeKFOmDKdOnaJKlSoEBORZThClfMIYQ0pKCseOHdO5ZkoppZRSBVBB69HKM7fccgtHjx5lz549+V0VpXKlaNGiVKhQwa/JRJRSSimlVO7ctIFWQECAPmdLKaWUUkop5Rc6Zk4ppZRSSimlfEwDLaWUUkoppZTyMQ20lFJKKaWUUsrHNNBSSimllFJKKR/TQEsppZRSSimlfEyMMfldB78Rkd+Aw/ldDzduAc7kdyWUnbZHwaLtUXBoWxQs2h4Fi7ZHwaFtUbDcbO1RzRhTPuvKGzrQKshEZKMx5s78roeyaHsULNoeBYe2RcGi7VGwaHsUHNoWBYu2h0WHDiqllFJKKaWUj2mgpZRSSimllFI+poFW/nkvvyugnGh7FCzaHgWHtkXBou1RsGh7FBzaFgWLtgc6R0sppZRSSimlfE57tJRSSimllFLKxzTQUkoppZRSSikf00BLKaWUUkoppXxMAy0/EJFyIjJVRHaLSIqI/CoiM0QkLEu5QyJisiyvenD8QSJyUEQui8gmEfm7/66mcPOkLUQkQkRmi8gvtjK/iMhEESmZw7HjXLTfSf9fVeHlxXujrIh8ICLnbcsHIlImh2OLrU2O2469WkTq+/WCCjkR6S8iiSKSZPv9jciyvaWL3/HMpct1jhvrZp8Sfr+oQiyn9rCV0ftGHvHg/aH3jjzi4XtD7xv5wPY+cHefePE6+7m7v9TNy/r7mwZa/lEZqAIMA24HegAtgHgXZccClRyWV653YBHpCkwBJgCNgO+B5SLyF19V/gbjSVvUBQKBgUB94BmgF9bPOSd7cG6/231V8RuUp++N+UBjoK1taQx8kMOxhwHPY7VfU+A08D8RKeWryt+AgoAEIM7N9u9x/v2uBEwEkoHlORz7UtZ9jTGX/3yVb2g5tUcmvW/kjZzaQ+8deceT94beN/LHr2S/TwwCDPCpB/vXz7LvPv9UM58YY3TJgwV4EMgAQh3WHQJe8PI464GZWdbtAybm9zUWlsVVW7goMwg4m8Nx4oDt+X09hX3J2h5APaw/0M0dyvzNtq6Om2MIcAIY4bCuJHABeCq/r7GgL8Cdtp9vhAdl9wLv5VAmFkjO7+sqrMv12kPvGwWrPVyU1XtHPrSF3jcK1gL8D0jIoUxLW/vckt/19eeiPVp5JxS4gvUpr6MXROSsiGwVkREiUszdAWzbmmB9quMoAbjbp7W9sblri6xlfvfgWDVsQw4OishHIlLDJzW8uWRtj2isHpPvHcp8B1zE/e95daAiDu8NY0wK8O119lFeEpGWQC08ez5KSRE5LCJHRWSZiDTya+VuLnrfKLj03pE/9L5RQNh+l+/D8+dobRSREyKySkRa+bFq+UIDrTxgGyM8DusTxasOm94CugGtgGnAEGD6dQ51C9YwhVNZ1p/C+mOhcnCdtnAsUw14geu3BVifEsdiDVF4EqsNvpcs842Ue27aoyLwm7F95AVg+/407n/PM9fre8O/+gNbjTEbcyi3B+gDdMT6G3cZ+E5Eavm5fjcDvW8UUHrvyFd63yg4+gG/AZ/lUO4E1rDbzkAnrPvGqhtt/qgGWl4QkVeuM+Evc2mZZZ8Q4HPgGNZYYDtjzH+NMYnGmJ+MMbOwhhz01T+2OfN1WziUqQCswOr2fvN6dTDGLDfGfGJrv6+ADljvqd5/+gILGX+1h/JebtrCw+OGYd0MZ+ZU1hjzgzFmrjFmqzFmDdAVOIA1D+Km4uv20PvGn+PH94feO7zkr7ZQvpHL+3oR4AlgrjEm7XrHN8bsMca8Y4zZZLtnDMJ6D7lNoFEYFcnvChQyk4EPcyhzJPMb2z+SX9pedjA5TwRfb/saCZx1sf0MkA5UyLK+AnCzZSyajI/bQkQqAl8D24Gejp+MecIYkywiO7CGVt1sJuO79jgJlBcRyWwDEREgHPe/55nrKzieB31vuHMkh+2u9ML6+zPP2x2NMekishF9b7iTm/bIpPcN70zGx+2h945cm4zv2kLvG743Ge/b5yGs3sBZuTzneuCxXO5bIGmg5QVjzBmsm1aOxMpYsxxrsmVbY0yyB7tF2b6ecHP+VBHZBDwALHDY9ACw0JN63Sh83RYiUglIBHYA3dwNK8zhPCWwslAlertvYefj9vgBCMEac5853j4aCMZ5/L2jg1g3xgeAH23nKQH8nRvs07GceNMWXuoHLDDGnPd2R9s/PA2BbT6vVQHnx/bIFGX7qvcND/i6PfTekXs+bgu9b/hYLtvnSeAbY8zeXJ42Cjd/yworDbT8wPaPZALWpNgYIFhEgm2bz9lufNHAX7H+sJ7HSiv6JrDUGOP4yf9uYJoxZppt1X+BD0RkA9ZEzwFYKbPf8fuFFUIetkVlYDVwHHgOuMX6vxCwxnyn247l1BYi8jrW0LcjWJ+ajcL6oz7X7xdWSHnSHsaYXSKyAnhXRPrbtr0LLDPG7LEdpwqwCnjJGLPYGGNEZDIw3NZOe4GRWJOj5+fR5RU6tk/iKwK1batuE2ve3BFjzDmHcn8DbsOao+XqOKuADcaYl2yvXwbWYWW2CwWexQq0BvrnSm4MObWH3jfylgftofeOPJJTW+h9I/+J9biINlijH1xt/38AxphettfPYWVR3QEUw3rcSwzWnK0bR16lN7yZFq6lrHS1tLSVaYz1j0gSkALsxkr5GpTlWAaIy7JuENYv5xVgE9Aiv6+5oC4etkXsdcpEuGsL4COsG2wq1jyjhcBt+X3NBXnxpD1s5cpiDVn4w7Z8CJRx2B5h2yfWYZ3Y3kMnsJIvfAM0yO9rLsiL7eflqi1is5SbC+y8znEOAe87vH4TOGz7G3UaWAlE5/f1FvQlp/bQ+0aBaw+9dxSQtrCV0ftG/rbRGOAcUMLN9tXAaofXw7A+jEux7bcGeDC/r8PXi9guVimllFJKKaWUj2jWQaWUUkoppZTyMQ20lFJKKaWUUsrHNNBSSimllFJKKR/TQEsppZRSSimlfEwDLaWUUkoppZTyMQ20lFJKKaWUUsrHNNBSSilVYIhInIhsz8fzHxKRF7wpIyIVRSRBRC6KiNfPTBGRl0Xk/xxerxaRadfbJy+IyAYRubEeHqqUUnlIAy2llLpJicj7ImJsS5qInBaRRBH5p4gUze/6+ZqIlBeR6bZA6YqInBKRVSLygJeHagpMd3j9AlAZiAIqiUhL28/0Fg/qFA48D7ziZR1yTUR2i0iMB0XHAa+KiP6voJRSuaB/PJVS6ub2FVAJiABaA58DY4A1IhKcj/XKNREp5mbTQuAuoC9QG+gALAfCvDm+MeY3Y8wlh1WRwCZjzD5jzEkvq9sP2GCM+cXL/XJFROoAfwESPCj+JVAKaOfXSiml1A1KAy2llLq5XTHGnDTGHDPGbDXG/BdoCTQGhmUWEpGyIjJXRH4XkRQR+UpE6jtsjxWRZBF5SET2ishlW+9YDYcycSKyXUT6icgR23GW5NTzIyJPiMhO2zH3isgQx14WW+/RP0VkkYhcBCa4OEYZ4O/Av40xq4wxh40xPxpjXjfGfJSleAkReVdE/hCRoyLyYpZj2YcOisghoCPQy1aP94FEW9HfHNa50x0ruL3e9d8nIkkiMsD2+n0RWSYi/xKRkyJyXkReFZEA28/4tG39v1wcriPwP2PMJREpKiJvichxWw/fryLyamZBY0w6VrDV7Xr1U0op5ZoGWkoppZwYY7YDKwDH+TnvA82w/lG/C7gErBCRkg5ligMvA08A0UAgsEhExKFMBNDDdpz7gVrA/+GGiDyJFTiNBuphDbP7FzAoS9GXsYKC24G3XRwq2bY8LCIl3J3PZgjwM1awOQn4j4hEuynbFKtX8BOsnsHBXPu51XdY5+raygG3ARvdVUREHgEWA/2NMe84bGoBVMcKigdgBcVfYrXB34A4rGF/TbIcMgb4zPb9s8A/gMew2qErsCdL+Q3APe7qp5RSyj0NtJRSSrmyE6gBICK1gIex/tn/1hjzM9ATCAUed9inCDDYGPOdMWaLrcztwH0OZUoCvYwxW4wx3wFPAQ/ZzuHKKGCYMeZTY8xBY8znwKtkD7Q+NsbMMsb8Yow5mPUgxpirQCxWkJckIj+IyOsi0szFOROMMdOMMfuNMVOB/VmuwfG4vwFXgBRbz+B54Jxt82mHda78BRDguKuNItIfmA08Yoz5JMvm88A/jTG7jTHxwGagkjHmJWPMXltQdhho5XC8CliBYWYPWjVgL7DGGHPEGPO9MWZOlvMcB6qISBE316CUUsoNDbSUUkq5IkBmBr16QAbwQ+ZGW/DwM1aPTKYMrB6QzDKHsf5RdyxzzBhzxOH1ett+9bJVQKQ8cCvwrm1YYrKIJGMFWjWzFHfbK+RQn4VYSSsewpqbdTewTkSGZyn6U5bXx4HwnI6fC5m9gZddbIvB6plra4xxNZ9qp21oX6ZTQNZsjadwrvdDwDpbcAhWL2UUsFdE3haR9i4SX6Rg/S7k1AuolFIqCw20lFJKuXIb4EmChqzpzL1Ob34dmfeoAVgBQebSAGtYnqOLnhzQGHPZGPM/Y8xYY8zdWD1GcVkSaKRl3Q3/3C/P2L6WdbFtG3AC6Jtl6GUmV3XMqd4xXBs2iDFmM9ZQzpds5eYC/8sSbJUDLhtjkq93IUoppbLTQEsppZQTEWkAtAU+ta3ahXW/iHYoE4o1LHCnw64BWPO3Msv8BasHaZdDmSoicqvD67ts+zmWAcAYcwqrN6mmbRif0/InLtHRTqwhj77ssUm1fQ3ModwB4A+ce/wyHcSaf9UaeM9NsOUxWwbJ+4AljuuNMRdswzIHAu2Be7GyKGZqgDUsUSmllJc00FJKqZtbcbEeuFtZRO4QkaHAamAT8DqAMWYfVk/IuyLydxG5HfgQK0iY73Csq8BkEYkWkSisHpIdWMkiMqUAc0UkypZg4h3gC9s5XHkZGGbLNFhHRBqISC8RecmbixSRMBH5WkR6iEhDEakuIl2wkkisMsb84c3xcnAYqzepvVjP7gpxVcgYk4H1s/mbm+2/YM2xaov1s/8zwVYb4BfHAFVEhopINxGpJyKRWBkQ/wCOOuz3d6zEKEoppbykgZZSSt3c7scaonYEWIWV9CIOaGGMcRyO9wTW/Kultq9BWPOHUhzKXAHGA/8Pa+5VANDJGOM4nPAQ8BFWQoavsYYnPuGucsaYWUAfrMQa24A1QH+sHh9vJAPrsDIAfoMVAE7AChS7enms6zLGHMMKEMdjzZOadp3i7wFdRcRl75cx5gBWz1Y7/lywFYPDsEGbC8CLWO25GWtYZrvMZ4SJSBWseWxZE2QopZTygDjf/5RSSinviUgsMM0Y47L3xlYmDiuDXoO8qldhICI/ANONMR/46fiBwGmsIGpDTuUd9nsNKG2M6e+Peiml1I1Oe7SUUkqp/PUU/r0fhwFvAj96ud9prPT6SimlckGfi6GUUkrlI2PMT2RPKe/L458GXsnFfq/5oTpKKXXT0KGDSimllFJKKeVjOnRQKaWUUkoppXxMAy2llFJKKaWU8jENtJRSSimllFLKxzTQUkoppZRSSikf00BLKaWUUkoppXzs/wPUAqAXsB6shAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(12, 6), tight_layout=True)\n", + "plt.plot(CCF_RV, L2['GREEN_CCF'].data[0,o,:], '-o', color='g')\n", + "plt.plot(CCF_RV, L2['GREEN_CCF'].data[1,o,:], '-o', color='orange')\n", + "plt.plot(CCF_RV, L2['GREEN_CCF'].data[2,o,:], '-o', color='blue')\n", + "plt.axvline(x=L2['RV'].header['CCD1RV1'], color='g', label='CCD1RV1')\n", + "plt.axvline(x=L2['RV'].header['CCD1RV2'], color='orange', label='CCD1RV2')\n", + "plt.axvline(x=L2['RV'].header['CCD1RV3'], color='blue', label='CCD1RV3')\n", + "plt.legend(['GREEN_SCI_FLUX1', 'GREEN_SCI_FLUX2', 'GREEN_SCI_FLUX3'], fontsize=14, loc='best') \n", + "plt.xlim(-26,-6)\n", + "plt.xlabel('Doppler Shift (km/s)', fontsize=14)\n", + "plt.ylabel('Cross-Correlation Function', fontsize=14)\n", + "plt.xticks(fontsize=14)\n", + "plt.yticks(fontsize=14)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "0e4e92ab", + "metadata": {}, + "source": [ + "## RVs\n", + "The RV extension is below. Note that CCD1RV1, CCD1RV2, CCD1RV3 are the RVs for the three slices on the green CCD, while similar versions for CCD2 are for the Red CCD." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "2644f5e1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "XTENSION= 'BINTABLE' / binary table extension \n", + "BITPIX = 8 / array data type \n", + "NAXIS = 2 / number of array dimensions \n", + "NAXIS1 = 201 / length of dimension 1 \n", + "NAXIS2 = 67 / length of dimension 2 \n", + "PCOUNT = 0 / number of group parameters \n", + "GCOUNT = 1 / number of groups \n", + "TFIELDS = 21 / number of table fields \n", + "STAR_RV = -16.597 \n", + "RWCCF1 = 'T ' \n", + "RWCCF2 = 'T ' \n", + "RWCCF3 = 'T ' \n", + "RWCCFC = 'F ' \n", + "RWCCFS = 'T ' \n", + "VR_LFC = 5.0 \n", + "CCD1ROW = 0 \n", + "CCD1RV1 = -16.4591441737 / Bary-corrected RV (km/s) \n", + "CCD1ERV1= 0.0005118522 \n", + "CCD1RV2 = -16.5745240832 / Bary-corrected RV (km/s) \n", + "CCD1ERV2= 0.0004392273 \n", + "CCD1RV3 = -16.6370873959 / Bary-corrected RV (km/s) \n", + "CCD1ERV3= 0.0004528441 \n", + "CCD1RVC = 0.0979240797 / Cal fiber RV (km/s) \n", + "CCD1ERVC= 3.95053E-05 \n", + "CCD1RVS = -16.3151942441 / Sky fiber RV (km/s) \n", + "CCD1ERVS= 0.0 \n", + "CCD1RV = -16.5568392172 / Bary-corrected RV (km/s) \n", + "CCD1ERV = 0.000268615 \n", + "CCD1BJD = 2459954.693204571 \n", + "RV1CORR = 'F ' \n", + "CCD2ROW = 35 \n", + "CCD2RV1 = -16.5537822508 / Bary-corrected RV (km/s) \n", + "CCD2ERV1= 0.0010803481 \n", + "CCD2RV2 = -16.6708012407 / Bary-corrected RV (km/s) \n", + "CCD2ERV2= 0.0009063969 \n", + "CCD2RV3 = -16.7790724173 / Bary-corrected RV (km/s) \n", + "CCD2ERV3= 0.0009398961 \n", + "CCD2RVC = -0.0111678666 / Cal fiber RV (km/s) \n", + "CCD2ERVC= 2.90971E-05 \n", + "CCD2RVS = -17.7883135166 / Sky fiber RV (km/s) \n", + "CCD2ERVS= 0.0544307661 \n", + "CCD2RV = -16.6680643962 / Bary-corrected RV (km/s) \n", + "CCD2ERV = 0.0005590553 \n", + "CCD2BJD = 2459954.693197163 \n", + "RV2CORR = 'F ' \n", + "TTYPE1 = 'orderlet1' \n", + "TFORM1 = 'D ' \n", + "TTYPE2 = 'orderlet2' \n", + "TFORM2 = 'D ' \n", + "TTYPE3 = 'orderlet3' \n", + "TFORM3 = 'D ' \n", + "TTYPE4 = 's_wavelength' \n", + "TFORM4 = 'D ' \n", + "TTYPE5 = 'e_wavelength' \n", + "TFORM5 = 'D ' \n", + "TTYPE6 = 'segment no.' \n", + "TFORM6 = 'K ' \n", + "TTYPE7 = 'order no.' \n", + "TFORM7 = 'K ' \n", + "TTYPE8 = 'RV ' \n", + "TFORM8 = 'D ' \n", + "TTYPE9 = 'RV error' \n", + "TFORM9 = 'D ' \n", + "TTYPE10 = 'CAL RV ' \n", + "TFORM10 = 'D ' \n", + "TTYPE11 = 'CAL error' \n", + "TFORM11 = 'D ' \n", + "TTYPE12 = 'SKY RV ' \n", + "TFORM12 = 'D ' \n", + "TTYPE13 = 'SKY error' \n", + "TFORM13 = 'D ' \n", + "TTYPE14 = 'CCFBJD ' \n", + "TFORM14 = 'D ' \n", + "TTYPE15 = 'Bary_RVC' \n", + "TFORM15 = 'D ' \n", + "TTYPE16 = 'source1 ' \n", + "TFORM16 = '15A ' \n", + "TTYPE17 = 'source2 ' \n", + "TFORM17 = '15A ' \n", + "TTYPE18 = 'source3 ' \n", + "TFORM18 = '15A ' \n", + "TTYPE19 = 'source CAL' \n", + "TFORM19 = '14A ' \n", + "TTYPE20 = 'source SKY' \n", + "TFORM20 = '14A ' \n", + "TTYPE21 = 'CCF Weights' \n", + "TFORM21 = 'D ' \n", + "EXTNAME = 'RV ' / extension name " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "L2['RV'].header" + ] + }, + { + "cell_type": "markdown", + "id": "0ad8215a", + "metadata": {}, + "source": [ + "Here is the telemetry section, which will be incorporated into the next section." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "db786dec", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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orderlet1orderlet2orderlet3s_wavelengthe_wavelengthsegment no.order no.RVRV errorCAL RV...SKY RVSKY errorCCFBJDBary_RVCsource1source2source3source CALsource SKYCCF Weights
0-25.860851-33.047925-33.0165064505.8325144465.72087800-28.5383570.0079260.000000...0.00.02.459955e+06-27.447883GREEN_SCI_FLUX1GREEN_SCI_FLUX2GREEN_SCI_FLUX3b'GREEN_CAL_FLUX'b'GREEN_SKY_FLUX'0.2590
1-16.457589-16.201838-16.9989184537.7883504498.02498811-16.7018210.003250-4.644436...0.00.02.459955e+06-27.447883GREEN_SCI_FLUX1GREEN_SCI_FLUX2GREEN_SCI_FLUX3b'GREEN_CAL_FLUX'b'GREEN_SKY_FLUX'0.3319
2-16.497416-16.618431-16.6260474572.5168994531.26457922-16.5802910.0013110.008081...0.00.02.459955e+06-27.447883GREEN_SCI_FLUX1GREEN_SCI_FLUX2GREEN_SCI_FLUX3b'GREEN_CAL_FLUX'b'GREEN_SKY_FLUX'0.5172
3-16.359023-16.507286-16.5286814606.5860764565.02505633-16.4651540.0016230.185466...0.00.02.459955e+06-27.447883GREEN_SCI_FLUX1GREEN_SCI_FLUX2GREEN_SCI_FLUX3b'GREEN_CAL_FLUX'b'GREEN_SKY_FLUX'0.4794
4-16.472564-16.605390-16.6533134641.1753304599.29442444-16.5768480.0014030.141919...0.00.02.459955e+06-27.447883GREEN_SCI_FLUX1GREEN_SCI_FLUX2GREEN_SCI_FLUX3b'GREEN_CAL_FLUX'b'GREEN_SKY_FLUX'0.4892
..................................................................
620.0000000.0000000.0000008226.2277038151.12912627270.0000000.000000-0.028164...0.00.02.459955e+06-27.447847RED_SCI_FLUX1RED_SCI_FLUX2RED_SCI_FLUX3b'RED_CAL_FLUX'b'RED_SKY_FLUX'0.0000
630.0000000.0000000.0000008337.2659908261.14212628280.0000000.000000-0.044754...0.00.02.459955e+06-27.447851RED_SCI_FLUX1RED_SCI_FLUX2RED_SCI_FLUX3b'RED_CAL_FLUX'b'RED_SKY_FLUX'0.0000
640.0000000.0000000.0000008451.3449268374.17266929290.0000000.000000-0.021849...0.00.02.459955e+06-27.447854RED_SCI_FLUX1RED_SCI_FLUX2RED_SCI_FLUX3b'RED_CAL_FLUX'b'RED_SKY_FLUX'0.0000
650.0000000.0000000.0000008568.5871608490.33738830300.0000000.0000000.014925...0.00.02.459955e+06-27.447854RED_SCI_FLUX1RED_SCI_FLUX2RED_SCI_FLUX3b'RED_CAL_FLUX'b'RED_SKY_FLUX'0.0000
660.0000000.0000000.0000008689.1231308609.77877331310.0000000.000000-0.027207...0.00.02.459955e+06-27.447854RED_SCI_FLUX1RED_SCI_FLUX2RED_SCI_FLUX3b'RED_CAL_FLUX'b'RED_SKY_FLUX'0.0000
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67 rows × 21 columns

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" + ], + "text/plain": [ + " orderlet1 orderlet2 orderlet3 s_wavelength e_wavelength segment no. \\\n", + "0 -25.860851 -33.047925 -33.016506 4505.832514 4465.720878 0 \n", + "1 -16.457589 -16.201838 -16.998918 4537.788350 4498.024988 1 \n", + "2 -16.497416 -16.618431 -16.626047 4572.516899 4531.264579 2 \n", + "3 -16.359023 -16.507286 -16.528681 4606.586076 4565.025056 3 \n", + "4 -16.472564 -16.605390 -16.653313 4641.175330 4599.294424 4 \n", + ".. ... ... ... ... ... ... \n", + "62 0.000000 0.000000 0.000000 8226.227703 8151.129126 27 \n", + "63 0.000000 0.000000 0.000000 8337.265990 8261.142126 28 \n", + "64 0.000000 0.000000 0.000000 8451.344926 8374.172669 29 \n", + "65 0.000000 0.000000 0.000000 8568.587160 8490.337388 30 \n", + "66 0.000000 0.000000 0.000000 8689.123130 8609.778773 31 \n", + "\n", + " order no. RV RV error CAL RV ... SKY RV SKY error \\\n", + "0 0 -28.538357 0.007926 0.000000 ... 0.0 0.0 \n", + "1 1 -16.701821 0.003250 -4.644436 ... 0.0 0.0 \n", + "2 2 -16.580291 0.001311 0.008081 ... 0.0 0.0 \n", + "3 3 -16.465154 0.001623 0.185466 ... 0.0 0.0 \n", + "4 4 -16.576848 0.001403 0.141919 ... 0.0 0.0 \n", + ".. ... ... ... ... ... ... ... \n", + "62 27 0.000000 0.000000 -0.028164 ... 0.0 0.0 \n", + "63 28 0.000000 0.000000 -0.044754 ... 0.0 0.0 \n", + "64 29 0.000000 0.000000 -0.021849 ... 0.0 0.0 \n", + "65 30 0.000000 0.000000 0.014925 ... 0.0 0.0 \n", + "66 31 0.000000 0.000000 -0.027207 ... 0.0 0.0 \n", + "\n", + " CCFBJD Bary_RVC source1 source2 \\\n", + "0 2.459955e+06 -27.447883 GREEN_SCI_FLUX1 GREEN_SCI_FLUX2 \n", + "1 2.459955e+06 -27.447883 GREEN_SCI_FLUX1 GREEN_SCI_FLUX2 \n", + "2 2.459955e+06 -27.447883 GREEN_SCI_FLUX1 GREEN_SCI_FLUX2 \n", + "3 2.459955e+06 -27.447883 GREEN_SCI_FLUX1 GREEN_SCI_FLUX2 \n", + "4 2.459955e+06 -27.447883 GREEN_SCI_FLUX1 GREEN_SCI_FLUX2 \n", + ".. ... ... ... ... \n", + "62 2.459955e+06 -27.447847 RED_SCI_FLUX1 RED_SCI_FLUX2 \n", + "63 2.459955e+06 -27.447851 RED_SCI_FLUX1 RED_SCI_FLUX2 \n", + "64 2.459955e+06 -27.447854 RED_SCI_FLUX1 RED_SCI_FLUX2 \n", + "65 2.459955e+06 -27.447854 RED_SCI_FLUX1 RED_SCI_FLUX2 \n", + "66 2.459955e+06 -27.447854 RED_SCI_FLUX1 RED_SCI_FLUX2 \n", + "\n", + " source3 source CAL source SKY CCF Weights \n", + "0 GREEN_SCI_FLUX3 b'GREEN_CAL_FLUX' b'GREEN_SKY_FLUX' 0.2590 \n", + "1 GREEN_SCI_FLUX3 b'GREEN_CAL_FLUX' b'GREEN_SKY_FLUX' 0.3319 \n", + "2 GREEN_SCI_FLUX3 b'GREEN_CAL_FLUX' b'GREEN_SKY_FLUX' 0.5172 \n", + "3 GREEN_SCI_FLUX3 b'GREEN_CAL_FLUX' b'GREEN_SKY_FLUX' 0.4794 \n", + "4 GREEN_SCI_FLUX3 b'GREEN_CAL_FLUX' b'GREEN_SKY_FLUX' 0.4892 \n", + ".. ... ... ... ... \n", + "62 RED_SCI_FLUX3 b'RED_CAL_FLUX' b'RED_SKY_FLUX' 0.0000 \n", + "63 RED_SCI_FLUX3 b'RED_CAL_FLUX' b'RED_SKY_FLUX' 0.0000 \n", + "64 RED_SCI_FLUX3 b'RED_CAL_FLUX' b'RED_SKY_FLUX' 0.0000 \n", + "65 RED_SCI_FLUX3 b'RED_CAL_FLUX' b'RED_SKY_FLUX' 0.0000 \n", + "66 RED_SCI_FLUX3 b'RED_CAL_FLUX' b'RED_SKY_FLUX' 0.0000 \n", + "\n", + "[67 rows x 21 columns]" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_rv = Table.read(L2_data_dir + ObsIDs[0] + '_L2.fits', format='fits',hdu='RV').to_pandas()\n", + "str_columns = ['source1', 'source2', 'source3']\n", + "for column in df_rv:\n", + " if column in str_columns:\n", + " df_rv[column] = df_rv[column].str.decode('utf-8')\n", + "df_rv" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From e8fd1efba5a3041831b7e8b2f9bfd7647d86af39 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 17:12:18 -0700 Subject: [PATCH 34/84] Direct links to .ipynb files --- docs/source/data_exploration/start.rst | 8 ++------ 1 file changed, 2 insertions(+), 6 deletions(-) diff --git a/docs/source/data_exploration/start.rst b/docs/source/data_exploration/start.rst index addf87a4b..699a6cbe2 100644 --- a/docs/source/data_exploration/start.rst +++ b/docs/source/data_exploration/start.rst @@ -1,16 +1,12 @@ .. _label-tutorials: -Opening, Examining, and Manipulating KPF Files -============================================== +Tutorials: Opening, Examining, and Manipulating KPF Files +========================================================= .. toctree:: :maxdepth: 1 :titlesonly: - tutorial_L0.rst - tutorial_L1.rst - tutorial_L2.rst - tutorial_2D_ion_pump.rst ../tutorials/KPF_Data_Tutorial_L0_and_2D ../tutorials/KPF_Data_Tutorial_L1 ../tutorials/KPF_Data_Tutorial_L2_Time_Series From bb0138fc6a1795cafe79eeb587c571d1c8410870 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 17:15:48 -0700 Subject: [PATCH 35/84] renamed files --- .../KPF_Data_Tutorial_L2_Time_Series.ipynb | 2289 ----------------- 1 file changed, 2289 deletions(-) delete mode 100644 docs/source/tutorials/KPF_Data_Tutorial_L2_Time_Series.ipynb diff --git a/docs/source/tutorials/KPF_Data_Tutorial_L2_Time_Series.ipynb b/docs/source/tutorials/KPF_Data_Tutorial_L2_Time_Series.ipynb deleted file mode 100644 index d6b3bfd69..000000000 --- a/docs/source/tutorials/KPF_Data_Tutorial_L2_Time_Series.ipynb +++ /dev/null @@ -1,2289 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "596edb6b", - "metadata": {}, - "source": [ - "# Import Packages" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "bd8e6835", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/howard/opt/anaconda3/lib/python3.9/site-packages/autograd/numpy/numpy_wrapper.py:21: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " int_types = {_np.int, _np.int8, _np.int16, _np.int32, _np.int64, _np.integer}\n" - ] - } - ], - "source": [ - "from astropy.io import fits\n", - "from astropy.time import Time\n", - "from astropy.table import Table\n", - "import pandas as pd\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "from radvel.utils import timebin # needed for timebinning" - ] - }, - { - "cell_type": "markdown", - "id": "5a8d307c", - "metadata": {}, - "source": [ - "# Define Directories and Filenames\n", - "One needs to have the L2 files kusted bekiw in the data directory of the folder from which this notebook is running. This file can be downloaded from Jump or shrek.caltech.edu. One can also modify the code below to work with other files or paths. The example below is a ~1.5-hour time series on Tau Ceti (HD 10700)." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "932a3b78", - "metadata": {}, - "outputs": [], - "source": [ - "L2_data_dir = '/Users/howard/temp/kpf/L2/20230110/'\n", - "\n", - "# Time series of observations of 10700 (Tau Ceti) from Jan. 10, 2023\n", - "ObsIDs = ['KP.20230110.16623.72',\n", - " 'KP.20230110.16803.31',\n", - " 'KP.20230110.16986.84',\n", - " 'KP.20230110.17094.84',\n", - " 'KP.20230110.17186.85',\n", - " 'KP.20230110.17279.12',\n", - " 'KP.20230110.17371.41',\n", - " 'KP.20230110.17463.29',\n", - " 'KP.20230110.17580.34',\n", - " 'KP.20230110.17672.60',\n", - " 'KP.20230110.17764.89',\n", - " 'KP.20230110.17856.97',\n", - " 'KP.20230110.17949.22',\n", - " 'KP.20230110.18179.54',\n", - " 'KP.20230110.18271.75',\n", - " 'KP.20230110.18363.65',\n", - " 'KP.20230110.18455.80',\n", - " 'KP.20230110.18547.96',\n", - " 'KP.20230110.18640.14',\n", - " 'KP.20230110.18732.02',\n", - " 'KP.20230110.18823.97',\n", - " 'KP.20230110.18916.31',\n", - " 'KP.20230110.19440.98', # one skipped bad frame above\n", - " 'KP.20230110.19533.16',\n", - " 'KP.20230110.19625.30',\n", - " 'KP.20230110.19717.19',\n", - " 'KP.20230110.19809.15',\n", - " 'KP.20230110.19901.19',\n", - " 'KP.20230110.19993.43',\n", - " 'KP.20230110.20085.43',\n", - " 'KP.20230110.20177.43',\n", - " 'KP.20230110.20377.95',\n", - " 'KP.20230110.20470.20',\n", - " 'KP.20230110.20562.48',\n", - " 'KP.20230110.20654.18',\n", - " ]" - ] - }, - { - "cell_type": "markdown", - "id": "a31d1c0e", - "metadata": {}, - "source": [ - "# Open File and List Extensions" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "247746e7", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Filename: /Users/howard/temp/kpf/L2/20230110/KP.20230110.16623.72_L2.fits\n", - "No. Name Ver Type Cards Dimensions Format\n", - " 0 PRIMARY 1 PrimaryHDU 312 () \n", - " 1 RECEIPT 1 BinTableHDU 29 2R x 10C [26A, 1A, 1A, 1A, 3A, 14A, 1A, 43A, 71A, 4A] \n", - " 2 CONFIG 1 BinTableHDU 13 0R x 2C [D, D] \n", - " 3 TELEMETRY 1 BinTableHDU 26 116R x 7C [35A, 11A, 11A, 8A, 8A, 14A, 67A] \n", - " 4 GREEN_CCF 1 ImageHDU 16 (1608, 35, 3) float64 \n", - " 5 RED_CCF 1 ImageHDU 16 (1608, 32, 3) float64 \n", - " 6 RV 1 BinTableHDU 50 67R x 14C [D, D, D, D, D, K, K, D, D, D, D, 15A, 15A, 15A] \n", - " 7 ACTIVITY 1 BinTableHDU 9 0R x 0C [] \n" - ] - } - ], - "source": [ - "L2 = fits.open(L2_data_dir + ObsIDs[0] + '_L2.fits')\n", - "L2.info()" - ] - }, - { - "cell_type": "markdown", - "id": "1ea6b300", - "metadata": {}, - "source": [ - "# Primary Extension (header keywords)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "e62fb0c0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "SIMPLE = T / conforms to FITS standard \n", - "BITPIX = 8 / array data type \n", - "NAXIS = 0 / number of array dimensions \n", - "EXTEND = T \n", - "FAVER = '0 ' / Written by FITSAssemble version 1.3 \n", - "TIMESYS = 'UTC ' \n", - "CAMERAS = 3 / Detectors in assembly request \n", - "GREEN = 'YES ' / Was this camera found? \n", - "RED = 'YES ' / Was this camera found? \n", - "CA_HK = 'NO ' / Was this camera found? \n", - "EXPMETER= 'YES ' / Was this camera found? \n", - "DATE-MID= '2023-01-10T04:37:19.484' / Halfway point of the exposure, unweighted \n", - "COMMENT ------------------------------------------------------------------------\n", - "COMMENT Location: /kroot/rel/default/bin/keyheader \n", - "COMMENT Configuration: /kroot/rel/default/data/kpfheaders/keyheader.conf \n", - "COMMENT Hostname: kpfserver \n", - "COMMENT Header generation start time: 2023-01-10T04:38:33.225263Z \n", - "COMMENT ------------------------------------------------------------------------\n", - "COMMENT \n", - "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", - "COMMENT keyheader section [ExposureBegin] \n", - "COMMENT Snapshot timestamp: 2023-01-10T04:37:03.822048Z \n", - "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", - "COMMENT \n", - "DATE-OBS= '2023-01-10' / Date dcs1.DATE \n", - "UT = '04:37:03.57' / DCS Universal Time \n", - "DATE-BEG= '2023-01-10T04:37:03.722048' / Start of exposure from kpfexpose \n", - "EXPTIME = 30.0 / Requested exposure time \n", - "PROGNAME= 'E328 ' / Program name from kpfexpose \n", - "OBSERVER= 'Fulton,Halverson,Howard,Isaacson,Petigura,Walawender,Weiss,Yeh' / Obs\n", - "OBJECT = '10700 ' / Object \n", - "INSTRUME= 'KPF ' / Instrument Name \n", - "DATALVL = '2 ' / Data Product Base Level \n", - "OBSERVAT= 'KECK ' / Observatory name \n", - "OBSMODE = 'SPEC ' / Basic mode of observation \n", - "HEADVER = '122650 ' / Header config version \n", - "CURRINST= 'KPF ' / Selected instrument \n", - "TELESCOP= 'Keck I ' / Telescope \n", - "TARGNAME= '10700 ' / DCS Target name \n", - "TARGRA = '01:44:01.40' / [h] DCS Target RA \n", - "TARGDEC = '-15:55:55.0' / [deg] DCS Target Dec \n", - "TARGEPOC= 2000.0 / DCS Target epoch \n", - "TARGEQUI= 2000.0 / DCS Target equinox \n", - "TARGPLAX= 0.0 / [arcsec] target parallax \n", - "TARGPMDC= 0.0 / [arcsec/yr] target proper motion dec \n", - "TARGPMRA= 0.0 / [s/yr] target proper motion ra \n", - "TARGRADV= -16.597 / [km/s] target radial velocity \n", - "TARGWAVE= 0.65 / target-wavelength \n", - "TARGFRAM= 'FK5 ' / target-frame \n", - "RA = '01:44:01.40' / [h] Right ascension \n", - "DEC = '-15:55:55.0' / [deg] Declination \n", - "EQUINOX = 2000.0 / DCS Equinox \n", - "MJD-OBS = 59954.192402 / Modified Julian day \n", - "PMFM = 0.0 / PMFM value \n", - "OCTAGON = 'LFCFiber' / selected octagon value \n", - "CALMON = 'Out ' / Calibration intensity monitor position \n", - "HATCH = 'Open ' / Status of the hatch on the exterior of the FIU \n", - "FIUMODE = 'None ' / FIU operating mode \n", - "FOLDNAM = 'Out ' / Named Position of FIU Fold mirror \n", - "FOLDVAL = 24.7 / [mm] Position of FIU Fold mirror \n", - "ADCTRACK= 'On ' / Is the ADC Tracking \n", - "HCLSN = '' / S/N of lamp in use \n", - "CAREQ = 'No ' / Ca HK fibers (6,7) requested \n", - "EXPSCREQ= 'Yes ' / ExpM Science fiber (8ab) requested \n", - "FFREQ = 'No ' / Flatfield fiber (10ab) requested \n", - "FICALREQ= 'No ' / FIU Cal fibers (4,5) requested \n", - "SICALREQ= 'Yes ' / SimCal fiber (3ab) requested \n", - "VACSCREQ= 'Yes ' / Vac Sci fiber (1b) requested \n", - "VACSKREQ= 'Yes ' / Vac Sci fiber (2b) requested \n", - "THDAYON = '20230109T14:45:02 HST' / ThAr Daily was last turned on at this time \n", - "THDAYTON= 3173.9 / ThAr Daily has been on for this long \n", - "THAUON = '20221228T10:54:05 HST' / ThAr Gold was last turned on at this time \n", - "THAUTON = 64.90000000000001 / ThAr Gold has been on for this long \n", - "UDAYON = '20230109T15:38:52 HST' / UNe Daily was last turned on at this time \n", - "UDAYTON = 2611.9 / UNe Daily has been on for this long \n", - "UAUON = '19691231T14:00:00 HST' / UNe Gold was last turned on at this time \n", - "UAUTON = 0.0 / UNe Gold has been on for this long \n", - "COMMENT \n", - "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", - "COMMENT keyheader section [heartbeats] \n", - "COMMENT Snapshot timestamp: 2023-01-10T04:37:03.822048Z \n", - "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", - "COMMENT \n", - "COMMENT Data not available for keyword 'heart_12' \n", - "COMMENT Any value above other than 'Heartbeat active' indicates \n", - "COMMENT the keyword history daemon was not capturing data from \n", - "COMMENT the affected service as of the snapshot timestamp. \n", - "COMMENT \n", - "COMMENT ------------------------------------------------------------------------\n", - "COMMENT End of keyheader output \n", - "COMMENT Header generation start time: 2023-01-10T04:38:33.225263Z \n", - "COMMENT Header generation end time: 2023-01-10T04:38:33.422198Z \n", - "COMMENT ------------------------------------------------------------------------\n", - "COMMENT ------------------------------------------------------------------------\n", - "COMMENT Location: /kroot/rel/default/bin/keyheader \n", - "COMMENT Configuration: /kroot/rel/default/data/kpfheaders/keyheader.conf \n", - "COMMENT Hostname: kpfserver \n", - "COMMENT Header generation start time: 2023-01-10T04:38:34.544577Z \n", - "COMMENT ------------------------------------------------------------------------\n", - "COMMENT \n", - "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", - "COMMENT keyheader section [ExposureMiddle] \n", - "COMMENT Snapshot timestamp: 2023-01-10T04:37:19.483524Z \n", - "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", - "COMMENT \n", - "SRCSHTTR= 'SciSelect,SkySelect' / Source shutters commanded for exposure \n", - "TIMSHTTR= 'Scrambler,SimulCal' / Timed shutters commanded for exposure \n", - "OTIMSHTR= 'Scrambler,SimulCal' / Timed shutters open at exposure midpoint \n", - "SCISEL = 'open ' / Science Select shutter at exposure midpoint \n", - "SKYSEL = 'open ' / Sky Select Shutter at exposure midpoint \n", - "FFSHTR = 'closed ' / Flat field fiber shutter at exposure midpoint \n", - "SCRAMSHT= 'open ' / Scrambler shutter at exposure midpoint \n", - "SIMCALSH= 'open ' / Simult Cal shutter at exposure midpoint \n", - "TRIGTARG= 'Green,Red,ExpMeter' / Cameras that were sent triggers \n", - "IMTYPE = 'Object ' / Image Type \n", - "CAL-OBJ = 'LFCFiber' / Calibration fiber source \n", - "SKY-OBJ = 'Sky ' / Sky fiber source \n", - "SCI-OBJ = 'Target ' / Science fiber source \n", - "CAFBS = 'No ' / Ca HK fibers (6,7) on \n", - "EXPSCIFB= 'Yes ' / ExpM Science fiber (8ab) on \n", - "EXPSKYFB= 'Yes ' / ExpM Science fiber (9) on \n", - "FFFB = 'No ' / Flatfield fiber (10ab) on \n", - "FICALFBS= 'No ' / FIU Cal fibers (4,5) on \n", - "SICALFB = 'Yes ' / SimCal fiber (3ab) on \n", - "VACSCFB = 'Yes ' / Vac Sci fiber (1b) on \n", - "VACSKFB = 'Yes ' / Vac Sci fiber (2b) on \n", - "SCIFB = 'Yes ' / Science fiber (1a) on \n", - "SKYFB = 'Yes ' / Sky fiber (2a) on \n", - "GRACFMD5= 'unknown ' / Green MD5 sum for the acf file \n", - "GRACFFLN= '-default-' / Green acf file loaded \n", - "RDACFMD5= 'unknown ' / Red MD5 sum for the acf file \n", - "RDACFFLN= '-default-' / Red acf file loaded \n", - "AGITSTA = 'Running ' / Agitator status kpfmot.AGITATOR \n", - "THARGD = 'Off ' / Gold ThAr power status \n", - "UNEGD = 'Off ' / Gold UNe power status \n", - "THARDAY = 'Off ' / Daily ThAr power status \n", - "UNEDAY = 'Off ' / Daily UNe power status \n", - "OCTBB = 'Off ' / Octagon broad band power status \n", - "FFSOURCE= 'Off ' / Flat field broad band power status \n", - "SCIFBILL= 'Off ' / Science fiber LED back illuminator power \n", - "SKYFBILL= 'Off ' / Sky fiber LED back illuminator power \n", - "HKFBILL = 'Off ' / Ca H and K fiber LED back illuminator power \n", - "EXPFBILL= 'Off ' / Exposure meter fiber LED back illuminator power\n", - "SSCALFW = 'OD 3.0 ' / Sci/Cal FW Position \n", - "SIMCALFW= 'OD 0.1 ' / Simual Cal FW Position \n", - "FFFW = 'Blank ' / Flatfield FW Position \n", - "OCTAGON = 'LFCFiber' / selected octagon value \n", - "PRES = 622.947 / [hPa] Pressure at Vaisala kpfmet.PRES \n", - "RELH = 12.901 / Relative humidity at Vaisala kpfmet.RELH \n", - "PONAME = 'KPF ' / DCS Point origin name \n", - "PONAME1 = 'Opt Axis' / DCS Point origin name1 \n", - "DRA = 0.0 / [s/s] DCS Diff RA rate \n", - "DDEC = 0.0 / [asec/s] DCS Diff Dec rate \n", - "RABASE = '01:44:01.40' / DCS RA base \n", - "RAOFF = 0.0 / [asec] DCS RA offset \n", - "DECBASE = '-15:55:55.0' / DCS Dec base \n", - "DECOFF = 0.0 / [asec] DCS Dec offset \n", - "HA = '+23:49:11.92' / DCS Hour angle \n", - "AIRMASS = 1.23 / DCS Airmass \n", - "PARANG = -4.85 / [deg] DCS Parallactic angle astrometric \n", - "PARANTEL= -4.9 / [deg] DCS Parallactic angle telescope \n", - "EL = 54.24 / [deg] DCS Elevation \n", - "AZ = 175.08 / [deg] DCS Azimuth \n", - "LST = '01:33:13.32' / DCS Local sidereal time \n", - "AXESTAT = 'tracking' / DCS axes control status \n", - "TRACKING= 'yes ' / DCS Servos tracking status \n", - "DTRACK = 'disabled' / DCS differential tracking status \n", - "GUIDING = 'true ' / DCS Guiding status \n", - "AUTACTIV= 'yes ' / DCS Guider active \n", - "AUTFWHM = 0.6079830000000001 / [pix] DCS Guider fwhm \n", - "AUTXCENT= 0.0 / [asec] DCS Guider x centroid \n", - "AUTYCENT= 0.0 / [asec] DCS Guider y centroid \n", - "SECFOCUS= -2.11 / [mm] Secondary focus \n", - "TELFOCUS= -1.499 / [mm] Telescope focus \n", - "TUBEFLEX= -13.3 / [arcsec] Telescope tube flexure \n", - "TUBETEMP= 2.39 / [degC] Telescope tube temperature \n", - "PRIMTEMP= 2.042575 / [degC] Telescope pri temperature \n", - "SECMTEMP= 2.169584 / [degC] Telescope sec temperature \n", - "DIFFPTDW= 31.742575 / [decC] Diff between pri mirro temp dewpt \n", - "DIFFSTDW= 31.769584 / [decC] Diff between sec mirro temp dewpt \n", - "VIGNETTE= 'false ' / dome vignette (t/f) \n", - "STVIGNE = 'false ' / top shutter vignette (t/f) \n", - "SBVIGNE = 'false ' / bottom shutter vignette (t/f) \n", - "SBELEV = 23.98 / [deg] bottom shutter elevation \n", - "STELEV = 104.01 / [deg] top shutter elevation \n", - "SECSTST = 'INPOS ' / DCS Secondary status string \n", - "SECTHETX= -462.6 / [asec] DCS Secondary theta x \n", - "SECTHETY= 123.8 / [asec] DCS Secondary theta y \n", - "TERTSTST= 'INPOS ' / DCS Tertiary status string \n", - "TERTDEST= 'lnas ' / DCS Tertiary user destination \n", - "TERTPOSN= 'lnas ' / DCS Tertiary user position \n", - "DOMEPOSN= 174.78 / DCS Dome user position \n", - "DOMESTST= 'TRACK ' / DCS Dome status string \n", - "CALOCAL = -27.4 / collimation-azimuth-local \n", - "CELOCAL = 16.5 / collimation-elevation-local \n", - "FOCALSTN= 'lnas (left nasmyth)' / focal-station \n", - "INSTANGL= 312.0 / porg-to-instrument angle \n", - "POXPOS = 0.4 / pointing-origin-x-position \n", - "POYPOS = -0.8 / pointing-origin-y-position \n", - "ROTCALAN= 0.0 / rotator-calibration-angle \n", - "ROTZERO = 0.0 / rotator-zero-angle \n", - "GUIDWAVE= 0.63 / guidestar-wavelength \n", - "TIMEERR = 'ok 2 1 {NTP time correct to within 1 ms}' / resp from time serv \n", - "COMMENT \n", - "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", - "COMMENT keyheader section [heartbeats] \n", - "COMMENT Snapshot timestamp: 2023-01-10T04:37:19.483524Z \n", - "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", - "COMMENT \n", - "COMMENT Data not available for keyword 'heart_12' \n", - "COMMENT Any value above other than 'Heartbeat active' indicates \n", - "COMMENT the keyword history daemon was not capturing data from \n", - "COMMENT the affected service as of the snapshot timestamp. \n", - "COMMENT \n", - "COMMENT ------------------------------------------------------------------------\n", - "COMMENT End of keyheader output \n", - "COMMENT Header generation start time: 2023-01-10T04:38:34.544577Z \n", - "COMMENT Header generation end time: 2023-01-10T04:38:34.820641Z \n", - "COMMENT ------------------------------------------------------------------------\n", - "COMMENT ------------------------------------------------------------------------\n", - "COMMENT Location: /kroot/rel/default/bin/keyheader \n", - "COMMENT Configuration: /kroot/rel/default/data/kpfheaders/keyheader.conf \n", - "COMMENT Hostname: kpfserver \n", - "COMMENT Header generation start time: 2023-01-10T04:38:35.952646Z \n", - "COMMENT ------------------------------------------------------------------------\n", - "COMMENT \n", - "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", - "COMMENT keyheader section [ExposureEnd] \n", - "COMMENT Snapshot timestamp: 2023-01-10T04:37:35.145000Z \n", - "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", - "COMMENT \n", - "DATE = '2023-01-10T04:37:33.739466' / End of exposure from kpfexpose.ENDTIME \n", - "DATE-END= '2023-01-10T04:37:33.739466' / End of exposure from kpfexpose.ENDTIME \n", - "ELAPSED = 30.0 / Actual exposure time from kpfexpose.ELAPSED \n", - "OUTDIR = '/sdata1701/kpfdev/L0' / Output directory for file in OFNAME \n", - "OFNAME = 'KP.20230110.16623.72.fits' / Filename of output file \n", - "GREENFN = '/s/sdata1701/kpfeng/2023jan09/Green/kpf_23060.fits' \n", - "REDFN = '/s/sdata1701/kpfeng/2023jan09/Red/kpf_red_23060.fits' \n", - "EXPMETFN= '/s/sdata1701/kpfeng/2023jan09/ExpMeter/kpf_em_23060.fits' \n", - "FRAMENO = 23060 \n", - "GRCAMD_V= 'Nov 9 2022 09:50:15' / camerad build date Kwd green CAMD_VER \n", - "GREXPTI = 0 / exposure time in msec Kwd green EXPTIME \n", - "GRFILENA= 'kpf_23060.fits' / this filename Kwd green FILENAME \n", - "GRFIRMWA= '/kroot/rel/default/data/kpfgreen/ACF/kpfGreen.20220513-0519.acf' / co\n", - "GRHDRSHI= 0 / number of HDR right-shift bits Kwd green HDRSHI\n", - "GRSHUTT = T / shutter was enabled Kwd green SHUTTEN \n", - "GRTM_ZO = 'GMT ' / time zone Kwd green TM_ZONE \n", - "GRCDS0 = '#eval CDump - 417' / Kwd green CDS0 \n", - "GRCDS1 = '#eval CDump - 1' / Kwd green CDS1 \n", - "GRCDS2 = '#eval PixelT - 417' / Kwd green CDS2 \n", - "GRCDS3 = 950 / Kwd green CDS3 \n", - "GRTEST = 123 / test fitskey from modes file Kwd green TEST \n", - "GRDATE = '2023-01-10T04:38:31.844154' / FITS file write time Kwd green DATE \n", - "GROBSERV= 'Fulton,Halverson,Howard,Isaacson,Petigura,Walawender,Weiss,Yeh' / Obs\n", - "GRPROGNA= 'E328 ' / Program name Kwd green PROGNAME \n", - "GRFRAME = 23060 / Kwd green FRAMENO \n", - "GRDATE-B= '2023-01-10T04:37:03.722048' / Shutter-open time Kwd green DATE-BEG \n", - "GRDATE-E= '2023-01-10T04:37:33.739466' / Shutter-close time Kwd green DATE-END \n", - "GRELAPS = 30.017 / Shutter-elapsed time Kwd green ELAPSED \n", - "RDCAMD_V= 'Nov 9 2022 09:50:15' / camerad build date Kwd red CAMD_VER \n", - "RDEXPTI = 0 / exposure time in msec Kwd red EXPTIME \n", - "RDFILENA= 'kpf_red_23060.fits' / this filename Kwd red FILENAME \n", - "RDFIRMWA= '/kroot/rel/default/data/kpfred/ACF/kpf_200kHz_2amp.acf' / controller \n", - "RDHDRSHI= 0 / number of HDR right-shift bits Kwd red HDRSHIFT\n", - "RDSHUTT = T / shutter was enabled Kwd red SHUTTEN \n", - "RDTM_ZO = 'GMT ' / time zone Kwd red TM_ZONE \n", - "RDCDS0 = '#eval CDump - 160' / Kwd red CDS0 \n", - "RDCDS1 = '#eval CDump - 1' / Kwd red CDS1 \n", - "RDCDS2 = '#eval PixelT - 160' / Kwd red CDS2 \n", - "RDCDS3 = 950 / Kwd red CDS3 \n", - "RDTEST = 123 / test fitskey from modes file Kwd red TEST \n", - "RDDATE = '2023-01-10T04:38:20.934246' / FITS file write time Kwd red DATE \n", - "RDOBSERV= 'Fulton,Halverson,Howard,Isaacson,Petigura,Walawender,Weiss,Yeh' / Obs\n", - "RDPROGNA= 'E328 ' / Program name Kwd red PROGNAME \n", - "RDFRAME = 23060 / Kwd red FRAMENO \n", - "RDDATE-B= '2023-01-10T04:37:03.722048' / Shutter-open time Kwd red DATE-BEG \n", - "RDDATE-E= '2023-01-10T04:37:33.739466' / Shutter-close time Kwd red DATE-END \n", - "RDELAPS = 30.017 / Shutter-elapsed time Kwd red ELAPSED \n", - "EMFRAME = 23060 / Frame number from kpf_expmeter Kwd expmeter FRA\n", - "EMFILEN = '/s/sdata1701/kpfeng/2023jan09/ExpMeter/kpf_em_23060.fits' / Output fi\n", - "EMSEQBEG= 1 / Sequence number of first observation Kwd expmet\n", - "EMSEQEND= 3 / Sequence number of last observation Kwd expmete\n", - "EMDATE-B= '2023-01-10T04:37:03.001' / Date-Beg of first observation Kwd expmeter\n", - "EMDATE-E= '2023-01-10T04:37:35.045' / Date-End of last observation Kwd expmeter \n", - "TARGTEFF= 5349 \n", - "EXTNAME = 'PRIMARY ' / extension name \n", - "ORIGIN = 'astropy.fits' / File Originator \n", - "COMMENT \n", - "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", - "COMMENT keyheader section [heartbeats] \n", - "COMMENT Snapshot timestamp: 2023-01-10T04:37:35.145000Z \n", - "COMMENT - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n", - "COMMENT \n", - "COMMENT Data not available for keyword 'heart_12' \n", - "COMMENT Any value above other than 'Heartbeat active' indicates \n", - "COMMENT the keyword history daemon was not capturing data from \n", - "COMMENT the affected service as of the snapshot timestamp. \n", - "COMMENT \n", - "COMMENT ------------------------------------------------------------------------\n", - "COMMENT End of keyheader output \n", - "COMMENT Header generation start time: 2023-01-10T04:38:35.952646Z \n", - "COMMENT Header generation end time: 2023-01-10T04:38:36.040979Z \n", - "COMMENT ------------------------------------------------------------------------\n", - "COMMENT The keywords that begin with GR come from the green detector system. \n", - "COMMENT The keyword and value come from the Primary HDU of the FITS file. \n", - "COMMENT The original keyword name follows the Kwd in the comment field \n", - "COMMENT The keywords that begin with RD come from the red detector system. \n", - "COMMENT The keyword and value come from the Primary HDU of the FITS file. \n", - "COMMENT The original keyword name follows the Kwd in the comment field \n", - "COMMENT The keywords that begin with EM come from the expmeter detector system. \n", - "COMMENT The keyword and value come from the Primary HDU of the FITS file. \n", - "COMMENT The original keyword name follows the Kwd in the comment field " - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "L2['PRIMARY'].header" - ] - }, - { - "cell_type": "markdown", - "id": "817c0f47", - "metadata": {}, - "source": [ - "# CCF Extensions\n", - "The header of the GREEN_CCF extesion shows the CCF mask used and the orderlet names associated with the three differente CCFs " - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "313a399c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "XTENSION= 'IMAGE ' / Image extension \n", - "BITPIX = -64 / array data type \n", - "NAXIS = 3 / number of array dimensions \n", - "NAXIS1 = 1608 \n", - "NAXIS2 = 35 \n", - "NAXIS3 = 3 \n", - "PCOUNT = 0 / number of parameters \n", - "GCOUNT = 1 / number of groups \n", - "STARTSEG= 0 \n", - "STARTV = -217.597 / km/sec \n", - "STEPV = 0.25 / km/sec \n", - "MASKTYPE= 'G9_espresso' \n", - "CCF1 = 'GREEN_SCI_FLUX1' \n", - "CCF2 = 'GREEN_SCI_FLUX2' \n", - "CCF3 = 'GREEN_SCI_FLUX3' \n", - "EXTNAME = 'GREEN_CCF' / extension name " - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "L2['GREEN_CCF'].header" - ] - }, - { - "cell_type": "markdown", - "id": "ef3338a1", - "metadata": {}, - "source": [ - "# Plot CCFs\n", - "To plot the cross correlations functions, first the velocity array needs to be defined in terms of parameters in header from the GREEN_CCF extension. The current CCF code in the KPF DRP has a range of +- 100 km/s from the approximate CCF peak. Shown below are the CCFs of the three science slices" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "48bf475a", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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1QcFaPDsLPNwKlP/McSk97r5c9xNzCzj2KRBxkUUaXHMBLdbweh2KwtGV4q9zPU7ogeyd+94aAMTS685AoXYAJQOPdqnb/s5iQHEDiqoUo3Dz4ojS3eWGe3LF3ufardL9WZwiPa6evPzeaq6VM0VSFHBrATuBHgHqbDSXasEsxnF+BKdc5nQebgO8iwEBVTMud83FgjIha3mwbG+SY1iMY3dnbtFQ5w/j2ysKUOFzIPISTxwIjuf8SL7OttoKNJ4LdDrNKanlPuWJirXleQLGWlkCgiAIgsWIk5XTOT8acPVWL9tuK/I35YjEzf+A9ZUBTSzQYr1+pUNFAer/A/iUAPb3zt7s671VKfU/1S0/hjXJ25jV2NSIUxABtxcBBdsCufKqP0fZAYA2Ebg1V//6m3NYjKTM+/rXlxnA62/OM32uu8uB5Gjex1YoClB9BM/KXxxru/PYAyIgdA+Qv4X+1N3iPQBtgnGhGHPP9/QUS/Qb66P2cDuwuiRwbhhHsNodVKcGWqwHX19uOpFgx4tKQhhwaSJQ8q00kRIACKwC1P0d6HiKU3aPDAS2NALCjzvMVEEQBEGcrJzN01PA7QVAhS8cK5+uo9ovQL1pQKm3gXaHgTxGagM9AoAmi4H4h8Cxzyw7X1IURw2KdnW8kIAOV08g/0vq6rKeHAJibqtPFdQRWA3I0yBlxjpTGhdpgWszuMbLr6z+/f3LszN4c47pNLB7q1i8Im8j82w0l4CKQIk+wJU/01JOcyKRlziFNX8L/evzNuH+cneXZf9cRCxesbEWi8usLgmcG541VfXGv9zHLFdBoO1+Ttl1zaXuHO5+HCW+s4zFVATHcWs+O+iVvta/PrAq0HoX1znG3OYm60c/YVVQZ0Cr4cwL+R4JgvCCIE6WpTw5zApi+3oCUdccY8PF8YCbL1D5W8ecPzOKApT7EGg0R50EfJ66QOUfWPjBEjGA+xt40GFJ3ydbUqgdEH2NldmMcfO/lFonC1Idyw5gsZMnmdItH+1kwQtDUSwdpd8GIi4AT08a3iY5liNy9nJiyw7gaFbIetufy1aE7uPn/M31r3dxZUGMkLXGI09quDGHI6GVvuHBdf5mLCqzPB+wpzuw9zVg7+vAof7s9LXdB+RrbP55inbl1gSZv2uC/SDiNghBdYDcNQxvpyhc5/jKJU4hv/YXi2M42tGKewhsacgN1ddVtLxpu/BiIWmvQg5HnCxLiLrOM8NRl/lmcaCP/S8Gj/fxAKvMAMAj0L7ntiaVv+O0wRNfm/8e3l3O4g55LRg42pKC7fj5wVbD22ji+fMr2i2r+p4aivdiBzuziMK16dzs1pTjWawH14LdWWJ4m4db2ekp+qr59llC3sYcbbFGlMdRhB9nYRK/coa3KdWPP39j770p4p8Ax7/gqGnNMUCBFlz/2OEYULgTcH8dO0UPt/Fv7KUNltfUFWoPuHik1D8KDuHpCe5nVuY9ddt7BHIKYavtPOmyrxegTbKpiQZJiuRG5ZEX+bvq4sH/h0lbFsEAWg1w+idgsTewqgSwv4/jJwoEwQLEyTKX5BhgbzeeMWx3iOWqw45wOo29IC0LTHgX4xS9nIybF9fjPD0J3Fqofr/kOI5kFe3K0QFnwr8C4F3ceN3No51A0jOedbYEd192sG8vBCKv8rLIq+yglH7XdDqYZx6gYGtWKTOUMnhvFeAeYDj1zdq4uLLzd38D/85yIk9PArlrGo/85akH+FfMXp3TpYlcK1dvasZ+aUF1gOYrgV4JQLf7wOtPWc0zO6I47n7szIWstfwYQva4s5QnRUr0Nm+/Ai8B9f7mCZMjHzhGJfLU9+wgNl3GWRftD3G7ixNfiWplTiIhDLi3llOSj3zAqd1ajfXPQ8R9O88PZwXNvI2Au0uB7a1FPVPIcYiTZS4xt3lGpfFCli0v1Y9nrS9Psp8NN2YDz04DNUbYTvHNnpR8g6WizwxJa1psiodbeSBuC1nx7KIoHP15sNlwfVHIek4VLNDS8vNU/g5w8QQO9uPIxun/8SxxpW/U7V+8J6c0Pj2RdZ02mQfVRV7JqlBoS4q/xtEzawlD2BNtMg8mc9cyvp2icN1i6H7LUo0TwoErk/nzC6hk+BzWpGgXbjUQedm6xxXUcW8NT3Z45DZ/3zLvAFV/4fvGaTOapFuD2Huc5lhmAFC4Ay9z92d7QvelpdcKzkvYMWBr05Q05C6cknxzHk/0bm3CasLW5OE2TqWvMgRothRoughovprT2w/bUIBJEGyAOFnmElAZeOUKULg9/6+4AOU+ZonjcCP1LdYiNgQ4MYhrPsyd1XRWFBeg1lh2YK+o7N90dzkPOAq8ZFPTLKb464ZV5JLjWLCkSBf1AgT68CrARe5PTwAr8vF7UmUI4FVQ3f5Fu/Ls+E09zWZD9/Osob1SBXXka8bCEHeW2ve81iDyMk8SBJlwsoCUCKbCgwlzOTuUJxiq/mj+vpZSpDM/SzTL/kRe5VS77PwWq/3CCrQXRgGXJ1vPNlNcGMuZF1W+z7i8dH+Opl+aYD9bBPMJOwZsb8X35qo/Ay9tAno8AXpG80Rz9DUW3rkwxnqCJhfHcd/Pqj+lLSvcEag+FLi3Erj6l3XO8yKRFAVcGMdRZXuMU4VUxMmyBDevjP+Xfptn+28vUH+MuEeWhdqPf87y3Q1mZUwTyukUbMO1TOeHm869TnzKDkXRbvaNsphD3saAVyFO58vMnSX8Gsp9lP3zFO/BPXNKvwM0XcJOllo8gzgSeGN21vS8u8vZASzUMfs2moMuZTBkfc5LGdSJiJiKZAGs2FiwDSv/mVMrE/+YxQzKvM9qcvbCpzgQWEPqshyBzrHVObqWoChA3T95YuX45/y9M0V2U/niHgLX/+FsD58SGde5efM1K2S9+sbtgn2Jvc+RK888XBpRPZgnlz3z8PepZG+g03nOdjj1PbC3B6BJyN45Iy6k9P38hJV601NxEFCoA3D0I05ZzO7380UR1Yh7BGysCZz6ltPMN9UBbi92tFUvDM/RKN2BeOQGCrQB7iw3/cMPPwGsrwasLAhsqm1eutD1WcDdFZxq4VcmezY7I7XGAInPePbTGNf+4QF4BQul3+2BiytQ4k2OZGVuGnz1L67JMaRAZy75mwMNZ3H0zNw0sfKfcm3YrXQTBKTl71mh9hkbSduL4j25z1pOUxl8epIdU/+K6rav8DkQe8e8yML1WTzJUnGQZTZmh6JdgCf7pS7C3oSs4T6AahRbjeHiBjRZyH35Dr8LXJyo/36lSQROfAMs8QYWebL4wM6OLL9uDhfH83e1yv/0ry/8ckrjdguUZQXzCT/B11Q1Kfnxj9nBSopkQR3vIvq38yoANFsG1JnM39MDb2bP+bm9hCeP9fVldHFnW0r145TFox9bNlFNBJz6gb/X217i9OvnmTM/cdpum91A98dAnvrcNicp2tGWvRCIk2UtivdgFaenpwxvkxwL7O0OJDzhepq4EL55JT4zffz4UFbgy/+S+pqbnEbumuwoXJ1quJZJmwRc/gMo0Iq3d2ZK9WN70zcNfnoKCDsElP3QOXp75WvCA7grf6bdHO9v4u9mcTP7d1nNpmasMngnh822PT0FBFTjwawaCr/MSoBng/kmaAqthqNYBVpxXzF7U6QzO+A5sV4up5IQxnVLRbpY53iuuVgYpcirwMmvgd2dgXurWQn18T7g/mZgWwtO4yvWgycCSvUDwo+xom5siLrzxIey8mmJNw3368vbmBVS1fQUtBVxD9Tdf3M6d5ZyBGP3K8CaMsbrqLRJwJ6uHFVqsoj7MpqiwqesHHl3BTtblvJgMxBUj4VR9OHiDjScA1T+nq+FB940PyJ1bhinzeZvwWUeO1o/v9+BmLucqVJ2IE/GegQCtX8DEkK5rlewOeJkWYsiXXgG5u5yw9vc/I9zmxvPZ8Wv5quBmFs8I2Nq9ufYpzy7X+9P9YO4nEjFr3n27Np0/euvTGEHoNJg+9plCbmr84X8wug0p/HMLzywKN3PsbbpUBSOZj07zTPKRCk58UUcJyri4soNmkPWqbv5Rd9gieolvsCOdlxj5ohUkKgrhoUo9KEoQJ3fAWh5RvXZeePXgbvL+PpR7uPsWmoZQXU4BVZSBu3H/Q0AaTiKaC3cfIBmy4E6f7DIwJ6uwM52wLZmwK4OQPR1Hlw3ngfUGgfU/wtovYOvy7s7q0vjvTAa0MYbT1929WDhH0c4WcmxwIG3gJVFgFXFuTG8s5EYwfV42a11irnNghFB9YDma/j7tLMdEH1L//Znh7Lz0XA2pwKqpeIgwLc0cH6kZdGsxKdA+BHOoDCGogA1R/EY6s4S05kv6Xl6Bjj3K1CyL9ByE4/Bnp427xg5iUsT+Tn9xHy+RjzBd2GspOraAXGyrEWufDygNuRkkRa49Btf6HSKcvmacDHp7YW8zhCPdvLFpOpPLLzxPJO3Pl9kzwZnvQnEh7KTUqij6Quxs1BzLKdeXBgD3N/Is3xVf7ZMJcxWlOzDkvMH3wJ2tgce72InNjuy39m2qS+nGhlrjaBNBm4tAjbUYIesaHcg6ipwsK/95aqT4zga5Wtg1t4QfmWBVtu42e+Gqpw7f/QTjiikT2PRJAJnfgYCqlrWvNoaKC58c364he0RbM/dlSwCEFTHusdVFE637noX6HCCG1W32gq03AJ0ucGTHOkJrMaO17PTwKF3jP+2Yu9xZLxUP9MR10LteZLEEpVNS9Ems2N5az43bPYM4obdzvSdPjsMWB4ErCsPbGnM1xdLOfMzp2U2XQQU7Qy03MypYvtez/qaQzYA50dwvVzm74ApXNz4vhF2xLIU0IfbeJyk9t5e6VtOLT/9P1Y7NAURcOxjvvfW+Z1/A4U78DGuTHn+0gbjn/Bkdck3s9ZEVvmBywTurnKEZS8U4mRZk2I9gMhL+kPxIet5prvioIxpYlWHAMVeA05+AzzcnnU/0gInv+WeWM9rmmBm6v/Nr/tscMbll3/n3kC1JzhHqp0a8tbnlJnzIzhVw78CUOELR1uVETdvoPkqLmiOugpU+5XThBxJUB2ubbr+j/71j3YCa0oDB95gR+WVS0Dj/4Au13n2/PoM4Kwde8hF3+BnQ6lRxsjbEOh4Cqg+nB3L6/9wRGFdeeDq35wyduxjvn7UHO1YwZsir/Dsp0hv256kSI5kFXvNdp95rnyshpmvCQuxFGpruA6zyMvc0/DOUo4GGOLcMABaoFqw6fMXaM3Pj/eaa7nlnB7C4gr1p3PD5rpTWRn0xszsHzv2HnB+NCvyrSjAk6fmRtWvzwLO/gwUe52vxeFHszadV0tyLKfwlejNUSYAyF2Da3jDjwFHP0xzmCMuAEfe54mcehaer3R/TvW+MMr8fR9s5r6Meeqr215RgEb/8uT20Q+ByCvGt785l1Vza45lx1pHlR+A5Ch2tJ4nrv7J2U+Vvs26Lm8jdrxuL7K/XS8Y4mRZk6IpM8yZZ9+JgEvj2VEqnikFS3HhC4VfOS5GzHxBvrOUL4bVh2VP7jsn4VOC1dNu/scXRgCIvsk5xMW6m5eS5Qw0+Icv5BW+YglcR0aIDBFUC+h0Bnj1JlDtJ8c7sbo0xrAjPEhIT8Qlnol28wGarQDaHwF8iqXs58K/lVL9OG3l/kb72Bt9nZ99LRSk8SnOEy6vXAR6hAEt1vGxjn4ILM/LvYYqDuKBriMp0Jp7s4Wsc6wdLwL31nAbCHMjCrak8rdAybfYydKXYhd5lb+rZT/MOnuuD//ygHsg16nag7srgYtj2b6y7/OyIp3YscjugPP+RmBNWY6sxIYAPiW53cr+3uodraenuHygYBsuK6j2EwuVXBhpWWpXyFqemCzZJ+PyYt04M+bGbGBDdX6sr8JOWeN5WZX91OKaC6j4FUelnp1Tvx8RO1kF25hXDuGai98nFw/uF2kotVKTyAIQQfVYDTo9uavze3xLTysTZ0KTyI6wmu+SNgm49jdn/QRWybpeUbjm+uFWETKyMeJkWRPvwly0f3t+xnSKe6uAx3t4RkGf5LibN/cxibyYcfCiSQRO/8DCBCX72tx8p6LWGC7wP9iP08HWVwbgwjP5OQ03b24cXXt89hXCXiTKDmRxk6OfpMn6Jz4F9rzKA/2Wm3mwkPk3pShA3cn8u9n7GvDksO1t1aU7WRLJyoy7HztT7Q5xKmGVIUCbPUCt8dk/drZt8+XedPdzmPJjTuT2Ip6Yy9vQ0ZakobgA9aYAXkX5txVzJ+P6sz/zb7PKD+qPl7eBdWuikqKAe2u5L5CuppMIuD4bONCHIyV1JmXcp1gPjqbFPbLsnNG3+Nj+FTjdsvNl/v3WGMkTpadV9rQ78Q3gEQA0XsC1qQAfIyFMfQ/J9NxawOmm+fQo2VYbCtSbCuQqwN+zGiM4IyB3DfPPk57S/QHFFbilIoVPR+QljgIWamf++byLcHuCsMOsaKmPW3NZybX6UP1R4aKvpjRbNxENcxTaZGBHK3aEtzY1ndoYso5FXcp9aHibEr05jTTzJKZgVcTJsjal+3Pqge6mQVru6eBXznhfpOI9eebrwug0B+3CaE5Dqjkm7YLrAK5dA8qWBYoWBWbPttNJXXMBLVYDuWtzFMuvHNcMWGMQK+QMXNy5H1xCKLC7Cxdkb2nEKp7NVnD0xxDu/sBLG7kx854uhou8b/zLv09D69USfY1z/dOnoWQXRQEKtgZqDAfyN3N8dFFH4Vece0DyPJAQzrVvJXo5Xz9Ed3/gpXWcYrW7c5oU9PVZ7BhWHKS+ITrAqUsR5wwryprDkyPA2vL8mz/1LbA8H3DoPWBHG5atz9uIxR8yR2qK9wBAlinjaZPSolXNVgC+pXi5orAKXtkPOH3ulolIWeh+4NF2oNJ3GdX18tTllLjrM82rM9UkcHSo+Ov6xw+KwmOS1tuAl9azY2zO52aIXPm5n9UtMwSIdOInltZal+jNWS7nfmWhj/Qkx3HpQZ76bJc+CqdkCDhrhP7qNP5+lOwLhB/naKcxrs9g57pwJ8Pb5K7J4ypJGbQpTnb1fg4o/jrg6s1heIC/wE9P8Gy0MUfJxY1l3Z8c5OjNwbdTVHD6cHGmg9BogH79gEePgEKFgAEDgEP2EmJy8wHaHeQO853O8M1GeLEIqgU0mseTFmeHsox5yy1A/qam9/UqALRYzxHh3S+znK2OqGvApnpc8H7mJ65/Cj9puZ1R180Xvcip6BTHpKGl7bi7jAfvjmqjYIrAakCTxewcbWnA4gpHPuC0q2o/m3esPA15MB5+LHs2JccB+17jCbpmy4G2+/l+fGMW/95rjOJrh1eBrPsGVOVojiVKhxfGcBSlwT9Z+1fqoup5GgDHPzM+mXN2KDso+qIPpd/liZxQM2rXnp7kdFNr9WM0h5J9OTL1eLe67R9s5iigmhRTfSgKUHsSAAU4/lVGZ/Tqn2xLzbGGJ6p8SwIBVYAHmyw7vy0hLX/HCrQEGv0HVPmR25sY6iMZe59fR6m3jade6lIGH+9iUTHBJoiTZW3c/YDir7Fi4MNtwPHPORpT6i3T+5b9gCXMb83nFMOyAzmc70DWrgUOHgQmTwa2bWNHa7A91dNdPZyuhik5m4q6gpmU7A28Fg70igO6XOV0NbUEVOQBV/QNHgw+2s3pOzvbc0Ss9iSgzV7A1YvFZywl+trz2SBcH74lgYLtuE+NNsl+59VquJH3/jd5NjenEnOb1SMNQcS9AAOrW19V0JoU7gA0XcYTDOeG8WC+6RL9KfHGyJsidPDkYPbsuTkHiL0LNJjJUY18jYEmC3iS7tWbQJXvDU90KgpHUR5uM08yPfEpy2QX6cIOnT5c3FkOXZtkWJnx0W6uj6n4DaeXZ6Z4D8DNj6OFatG9n3kbqd/HWhTtwvbqaqqNoYlnZ6xgNhWDfYqxg39vJatbAvz5nB/JtUkFWhjfv2A7LuvIjpKjLQg7xm1rSvVPiY5+xyrTxz7Tr4h5ay47ZqXfMX3sYt14W2eN4D0HiJNlC6oF86BtR1v+wTZZpC7lQ1G4bqdXPBe/15vKqRkOZPZsoEgRoG9fICCAHax9+4ADBxxqlkNYvhwoVgxwdwdatAD273e0RS8Q7n6WF2MXbAW0P8r9Yba/BOzryQXeLdYBFb/gqFi1X4FHO/QrfJpCm8QD5xclkgWw+mTcfeDWQvucL+Y2sKUhcPQjnsDa2YElinMaofuBjbVYPfLqX/q3ebgNiDjPAgLOkiJqiGLdgB6hwGtPgdbbudmpuXjkZiXR7NRlaTXAxQkZW6To8Myj7v5bqD2QFMFRKbVcnMj7VB9qfLuAStxz7PEujqylJzkOOPw+4FMKKG8gDczNByj5Bk8QqRXACD3AJQhehdRtb03cvNkxvLOMr7XGeLwX0MRZVo+VmUqD2eE98QV/Nvv78OdTU4XaYaF2HPkzJ1poD+6t5Bo3XQaBqwfX58bc5LTA9BCxI56vKeBfzvSxc9fiCG7IauvbLQAQJ8s2+JbigvUy7wPNV6r7sqfH1cOqDYc1GmDVKmDqVGDrVvX7xcby9t26AW4p5rz3HhAUBIwZYzXzcgQLFwKvvQYULAh8/jlw+TLQvDkwZ46jLRNUEVgV6HgGaDSXI1uv3s4oKFDuA77ZnBtu/rFjbrMD96JEsgCgcEcgsAZHMLLbLNUUyTHA1ubcXqDJYpa7T3gC3PzXtue1Nk8OsXPomY8H9Mc+0Z/yc2kiixGUeMP+NlqCu59lzlV68jbk98fS3nYha1jhs/Jgyx3T/C/x8+M96rYnLSvgFmzL9S2mKPMeR/tOfMOiBDrOD+dIeIN/2JkyROl3WZJbbZruk4OOiWLpKPkW1+2FrDW+3YPNrA5oToaCIRQXVhvM1ww4+TXwcDNQd4o6MY/8zdmOB1uyb4c1ebCFWyykr/ct1IFf47lhGZuDh+7jelk1USyAfytFX+VzmHKGBYsQJ8tW5K7OF01rzM5kg9hYoE0bdpQ++QRo1w74WWXK/NatQFwc8Oqract8fICBA4F164AwJ1b+jIkBJkwAZs0CorJZT71vH9C/PztVe/cCv//OYiAtWwIffMB/CzkArwJAqb6cSpQ5BdU1F9c/hu4z/2aj65Gl60PzIqCTyo++Bpz6PuM6InZWVxQEVhZlZbXs3MAvjGNlsBZrgRI9ecAUVNdw43dnJDGC2w7kKgC03smOfmBN4MCbLJSkI+wY11NU+MLyyG1OJE9DFriJuWXZ/neW8HtbtLvlNuTKC/hXUt8D7vFe/l6WVFEKAPBvpv4/HC052I+/EzfnAhfGcsuJgq2N75+nPqeJqUkZjLnLKWZ5G6uzzRbkb8FRNFPCCg82c+TFmINpDu6+/Bt75RLQNcS44Fh63LzZcXnoRE5WUhTw7BS/l+lRFI7OxT/k1GKAJ7tOfsuTOMV7qj9H0a4cSXQ25/I5QZys5xgi4KOPgN27genTgbt3gbfeAkaMAI6pqDFevZpTBFtk+n137w5otcCGDbaxO7tERwNNmwLffMORtwoVgJMWaho8eQL06gWUKAGsXAnkSmlV5usLzJ0LeHgA3+rp9SfkQPI1ZUnbsCPm7Rd9k599SlnfJmemaGeg3CfApQnAnRSHJ/oWsKUxi4nkrs01RedHsCqkKdlhfcTe475GxXuywqKOQh34c7Kkd5AjuPw7EP+IU8e9C/OAsvlKrtfZ3JDluWPuAMe/4PS58p842mL7kqceP4cdNX9frYbrmQq1z74Kb76mnNKp1Zje9tZcwM0XKNZV/fH9ywN1/uCU0GWB7GzlbZBVUl4fisLRrLBDQMRF49s+Scnnz+fASJaLKzdUvr/R8O805g6LpxhS/bMURWEhDXPVEgu1A56dzRhpdCRPDnHENJ8eoad8TVjp9cIYdqpPfMXfjTq/G24oro/8zblXnaQM2gRxsp5j/vkH+O8/jlwNGMAS7JMnA3nzAr/8YnxfjYajVZ06cQ1SeurUYQGMNRao3dqD4GDg1Cl2Evfu5VTHLl3YYTIHIuCdd3i/JUs4TTI9hQoBX33FqZgSzXoOyNcYgMIz1OYQc5MHy16FbWKWU1N7AkeV9vcCtrcCNlTlnjcNZrEsdIvVrPAYeYn7CJmbDnbqBx5k1MyUn5yvCadoZkcR0l4kRQKXJ3GtSHqFVJ/iQJt9QFBtTh1cXYIdx7qOr8W1OwFVOVUr3AIn6+kJ7iNlqfx3evI34xqeiPPGt9Mm8cRC0W7mR2DKvs81oqXeZuGd1rvZsVZDyTcBKBy5M8aTg1wXHljdPNusTYleHLm7Z2AAfy9lEFG0i/1sMoYu8+iBGXUVtiR0X0ovOQO98mqNA7SJwOriwJUpQIUvuXbPHFzcuS9jyFrbp36/gIiT9Zyybx/w2WdA+/bATz+lLQ8IAD78ENi4Ebh+3fD+Bw8CoaEZUwV1uLiw07JpE5CQYH3bs8Pp08CkSexUdunCEa1Vq/i19O3LETi1/PEHO5rjxwM1a+rf5uOP2YmbPNkKxguOxSM3126ZW/gcfRPwLuHQXnYOw9UTaL2D+8w83suORPtDQJl30mpjinRiJ+nBJvP6ED05xNGCioOyNvHW1cA8O22NV2Fbrk5jlbOqehrSBlTk+t3mq/k9euUSq2m+aLh6cI1fmAUy7o928nPBNtm3QxcxMHUNCN0PJD0zL4qVnjx1gUZzWHjHnOuGVyGOPKhxsvLUN1/p0drkbci1robqyEJWA37lOerkDARWZxl9Z0kZDDvMExCGJl0CKgLtD7Ose+P5QO2Jlp2naFeeqFCbKmsrHu0CDr3LqdXnhqf14MvBiJP1HHL5MkegSpYE5s0DXDNdwz/4gJdNm2b4GKtXcwSrY0f967t04bS8nTutZrZV+PRTjjiNHp22rHZtrqPavBkYakIESseJE5wG2KULH9MQBQsCvXtz7VdkDslcEoyQrxkPUMyZ0Yu+mdaA9EXE3Y8jVr3iWDJb34Cp/Ce8/GywumgWaYFjn/OgssoPWdd7FeTB0NNT2bXehB3Egw9LBRmSY1n1rlD7tJS4zCgKz+RX/vbFEk/JTJ56LM2vtoGtjieHWNkzV/7s2+BTEvAqYnqwGbKWI28FHVBzXbwnEHEBeGYg2pYcB4SfcKzohQ7FhaNZD7fwREN64h6yg1ysm2Ns04fiAhRow+mclv7mrQUR944zdN3QEVgNqDGMo5yWir4U6sCRzztLLds/u0TfBPb2ALa35Kjns3Occr79JSD+sWNsshLiZD1nEKU5Udu3c2pgZgoXZiGMWbNYGEPfMVavZmEHfwMTKK1aAd7eHOlxFs6f5wjeDz9kTe0bOBB4+23g11+BkSMNH0Or5chV27ZAvnz8Hpm6bg0YwA7nxo3Zfw2Cg8nXDEiONi9CEvOCO1k6jCmiurizvPLTUzyAMcXN/zh1rOYYw/UFgTWApzaMZGkSgd2dgeV5gU11WKRAY2bo/uo0FnSo+pPpbV90guqyGl3kFfX7EKWo6BlIpzIXReFo1uO9xgfZIWtZKt6c2hdrUaw7OwOGollPDnJtqSNFL9JTvBenV95dmXH5zbmc8luqv0PMMkiBl7h+MuqqY+2IucUTPEEmnCxr4O7L2Qh3l6urR7QEbTKnTsc9SOtFlhQNnB4CrKsE3N8EVB8OdL0HdLnGQkcAy9fnYMTJes5Yu5aFLsaM4RosQ3z6KfD0KUuTZ+bSJeDqVf2pgjpy5WJHZN06x0/46Fi4kFMZ39CTkqwowIwZQJ8+wJAhXEulyXQt0WrZGRs8mOvOtm8H8uQxfd7GjdkhW7XKKi9DcCT5U9KFHqtMm0iKZjnxF030whJK9gVyFWQhC2MkRbJiYZ6GrPhoiNw1uGjeVnUEJ74E7q8Hyn7IDVMP9gOW5wF2tAOOfMjPSwOAjbWBk4OzCiaEHgTO/pIit9zENjY+T+gaL5vTaDr2LiusWcvJArguKy6EWzPoI/IyD8CLOKiOyKsgq83dWaL/5ntvJUclCrayv236CKrDkcZr/6TZS8T9wvI25pQ3ZyJfisCOWil/WxGekjqbvo7TlhR/nZ1La/cJIwKu/g2sKcXXy5WFgWUBwPL8wKpi3Cy6+OtA5ytA1SGAmxfvV+QVoP0R7nOXgxEn6zmCiCM1ZcoA775rfNtmzYBq1YApU7JepxcuZKeka1fjx3jlFeD2bY4gORoiYMEClqsvUED/Nm5uwL//cq3apEmsPBgfz8IW27dzdG/mTODHHzm1sILKNHFXV04r3LABSNTTgN3c17F7N/Dnn8D8+Zz6eeUKS+k7A48ecSsAX1+gYkWOGj5XaZLeRQGfEsATlZ2mY1KUBZ+TSFZ8PJCUZKODu3qyNPnDbcbT/M6P5Jt93T+MN5ENqMJF35bKfhsjPpQHheU+AupPA14+B7TczLPukZd5gJsQChR7jeX/L44HtjYFtjYGrs0Azg4DdrYHchUCGsy0vn3PIwGV+b00x8nSNQ7O08B6dpiqy9L1fdI1h3UExXuymEzEuYzLScsRo0IdrCeJnl0UBag0iJXvHqU0ew/dy/aXMTFQcQT+FVgG3dFOVtgxTkkNqGqf8xV52TYpg5cmAkc/BLyLA5W/B6r+zPeBIp2Bwh2AtgeAxnMB7yJZ91XTRNzZISKnf9SpU4cE02zYQAQQzZihbvu//uLt9+9PW6bREJUsSdS2ren9Q0J4/5EjLbPXmhw8yLbMmaNu+6FDeXtfX34GiDw8iH77jUirNf/8a9bwMTZvNn9fHfv2ETVokGZP+kfRokTnzll+bGuQkEBUtSqRmxtRnz5E7doRKQpR4cJEy5ZZ9r45JXteI1pdWt22d1cTzQfRkyNZVsXGEo0YQfT660SrVlnZRitz6hRR7dr8XXNzIxo+3EYnSggnWhJItLWF/i9M5DWihR5EB942fazH+/i9v7fe2lYSXfyNj/30rLrtYx8SXf2HaGlu3m++QrS1OVH0Hevb9jyzqSHRlmbqtz8+iGhRLqLkBOvZoEkmWhJAdHig/vVbmhGtr2G981lC3COiBS5Ep37MuDzsBH//rqu8EdqL5HiilcWI1lXha8D66kQrChElRTvaMv3seY1oRRHH3tS2tSLaWNe+59z7OtHy/PwbsAY3F/D3cc9rRFqNdY7pYAAcIzP8l+fATRR0DB8OFC/OvbDU0KcPqw1OmZK2bOdO4NYtdccoXBioX58jX45OGVywAPD05GiUGn7+mZst9+7N79u2bUBICPDll5bVjrZpwzVqlqYMPn7Mtt+9y6med+5wL7P//uPomkYDtG5tXBFSH6GhLPYxZAjL2meH8eOBc+eAFStYUGXzZuDQISB/fuC114CePfVHtTQafm8vXeJo3/Hjjv++GCWoDjcYVtPXyUCPLCL+DQ0ZkhYldda+crt2ccrrgwfc/qBjR47mzptng5N55AZqjQEe7wZu/ptxHWmB459z/VYNI4WTOvzK87MtaifuLAVy12K1STV4FWBp7u6PgDZ7gO4PgTa7AZ9i1rfteSaoDvD0pHrxiyeHeJ/MzcWzg4srp7Hpa+WQEMZR7iKdrXc+S8iVHyjQCrizOOPF9NEOfraG0qI1cfUE6v3F0vgri3AErsEs54m2ZaZwB04ZzRwptBek5YiuLoXWXhR/nYUmQq0QxUuK5N5deRqwINLzEJWyBHM8Mkc9JJJlmqNHeRb699/N2+/LL4nc3YnupEy4tm1LVKAAUVycuv3//pvPe+iQeee1JklJRPnzE732muNsICLq3p2oSBGOBppLt25Enp6Go1UXLxLlzk3UurX6Y8bGElWrxp+Pqys/f/ihZfaFhxP5+xO9+mrWdUlJRKNH8zmCgogaNyaqXp2oYkWiOnWIAgOzRubKlCEaMoQoNNR8W2zOg608+/Zgq+ltj31BtNg3y4znrl1pUd6YGKKaNfl9ePrUJhZbzK5dRN7eRJUrEz14wMsSE4maNmV7Hz2ywUm1GqLNjYmW5SGKS/cFuDiJ3/dLKi9iWi3RIm+OZliTpFiihe5EJ7617nEF01z9h78DkddMb5ucQLTQk+j419a349xItiMu0wXqxlxeHnrY+uc0l6vT2ZawE/y/Vku0oTZHiZyVazOItrfjCIczE3OX39vzYx1z/vBTfP4b/9n3vEnRfD/b3S37xzr0Hkf09WR55GQgkawXk2nTOJLy9tvm7ffFF2nNegcP5ujOV1+xsIUa3ngD8PHhxsf6iIriup0aNTjas2GD9aMYO3ZwJOjNN617XHN59VWO2Bw3o6QAAA4fBlau5OhalSr6t6lYMS0qcvCguuMOHgycPQusX8/vz1dfAX/9BUy0oJXGxIkcpfr116zr3NyA777jxs8vv8zfnRIlgPLlWd2yd2+Ols6dC+zfz5G50qWBUaM4gnLzpvn22JTctflZTW2ITr49U/hz4kR+7V9+yb/L2bOBZ8+41s5ZuHcPeP11/qx27OB2BAC3bpg+HYiJ4ciW1VFcgPp/A4kRwMlveFnEReDMj1xLUv4zlcdRuAF03H3r2hd2mNXQ8jez7nEF05jT/yziLDe6zWvFeiwdurqszLWZd1dwWwF7iREYo1h3rqG5PIn/f7iVGzOX+9ihZhmlzHtAq83mN8y1N95FuRbqwSbHnF9XD5a/uX3P6+bDdVP3VgIPd1h+nMf7gOsz+VimJOifd8zxyBz1kEiWcR49IsqVi2iggRRyU2zYQBQQwDPvL7/MtTfm8N57RD4+RBERGZeHh6fVGDVvznVFAFHPnkS3b1tmqz7efpvtVxt9sxVPnnA0Z8gQ8/Z7/XW2PzLS+HbR0UR58xJ17Gj6mKdO8Xv95Zdpy7Ra3jd3bvMiKmFhRH5+RD16qN9HDfv2cbTEy4tovQ3KarLF6tKcR26KdVWJdnXJsCgkhGvVfvgh46Yvv8yfX7QTlCHcvk1UujR/rmcNlB0NHMjRVV2Ey+qc+oFna3d1IVqWl2h5QaKoG+YdY2tzfliTM7/yDGxCuHWPa0VCQzl7ISTE0ZZYmaRYrjU6/ZPpba/P4e9PxGXr25Ecx7WBJ75JWxYfxsuOfWX981nK8a/5/Xqwjet3VpXg+ich+xwfxJ93Uoz9z73nNf4sHUFyHNGqUkRrKxAlPLPsGHtf5/pUR7x3NgYSyXrx+OMPICEB+Ppry/bv2BE4eZIjDStXAh5mprcPGMCz3rNnpy0LDeVeWidPcp3S7t3AjRvATz8By5ezAuLq1ZbZm564OK4R6tFDffTNVuTJAzRvbl5d1qNHbP+AAYCfn/FtfXyAQYO4H9exY8a3nTCBt//557RligKMGMHS/ePHq7dxyhSOSP7yi/p91NCkCb+OihW5pktthM4uBNUxHcki0tsja/VqXpU5svq//7GS5dy5VrbVTObOBRo1AsLCuBaxqoGyo8GDWWlw0iQbGVItGCj/Oc8Wu3pzDZO5Ko1ehYFYK0eywo8B/hW5fswJGTWK6yDr1eM2Hc7WSiNbuHnxe6+m/1nkRVZf8y1tfTtcc/EMfPq6rLvLWM2ylMqiZ3tQ+TvAMy+wow1/b6v+zPVPQvYp2JY/b321ebaEiGui8tk5iqXDNRfQcCbXup750fz9Y++zwmXpdwE3b+vbl9MwxyNz1EMiWYZ58IAV8hxZj6TVErVqxTU7d+7w7GqlShxd27Qp6/a3bnGtjp8f1xplh9WrKduqftZk0iS25+pVddtPmMDbX7igbvuICI5E6auN0nH3LivEff65/vU9evAx1ET+EhKIChYk6tBBnX2W8OgRK1rWru1ECoXnRvEsubGZvLjHvM3FSRkWt21LVK5c1tei1bI6Y4MGNrBXJf/8w9+3unWJTpwwvX3PnnaIEidGWK4Od3wQ12VZ84uzpjzRHiuHba3Enj0cJX31VVas/OUXohIl+DNt3Jhr7HI8+95kZTdT7OrCanW24sxQjmhGplzMtzQlWlfZiS5SKUTfIroylSOwmiRHW/P8kBSTErn8wr7nfXaR7yvXVMpE24ojHxMtcCV6tMe8/c4Ep/xuVNRV5kAgkawXix9/5CjWqFGOs0FRgL//ZhW5evWAWrVYJW/TJqB9+6zblyjBEbNcuVh1LSbG8nOvWAEEBgItW1p+DGuia+CsJkpHBMyZwwqNlSqpO76/P9fRrV4NnDmjf5vp0/mz+OIL/es/+ICjWWoibmvXAg8fcm8sW5E/P0d5Tpzgui6nICDlA4m8bHgbnbJguuhLXByr9XXpklWlUlGA/v25Bu/SJatai2QV/XjXrwc+/phrIw8d4t+pKQYOBCIi+HtgM9z9LVeH8yoMaGJZycoaaBKB6OscTXFChgwBihRh5cdXX+WauatXudby1i3gpZeADh3Mrwt1KvLUZ2U3UxHKiAvcW8tWlB3As/qnfwQirwKh+7ihtiXys7bEpwT3c6v2E+Di5mhrnh/cvIHCnYDbi0w3PE+KAi79Bhx6B9jcANhUD7g8BUi2YHDzeDc/OyqSpaP6MMCvLLDrZcONuTNDBNz8j5Uv/crY1r4cgjhZOZjTp4FZs7i5btmyjrWlbFkunq9Viwvot24FWrQwvH2xYsCiRTzYHDrUsnMmJABr1vCA1t3dsmNYm5IlWeRDjQNz6hQLU/Tvb945Pv+cUwuHD8+6TqNhx619exaX0Efr1uzozphh+lxLlwL58nFKqS156y1Ot7RElMMm+OucrIuGt9HTiPj4cU6xa27g/tinD+DiYj159DNnOPXP05PTE/WJiFy4AHz0EdC9O1C9On+mrq7qjv/SS9yqwdEpjgbxSmlgaS3xi5hbAGkAv3LWOZ4VOXKEJyEGDeJm4Drc3Xni5No1YNw44OhRoG5dTsG9rXJsZA+io4E9ezhF2ih56vNz+FHD22jigZgbab9TW+BViEVY7iwGNtfl1gIlHayuJNiXkn25MbqhxtQAtxHY2gQ4MYiFUYj4GnL8M2BVceDYZ9zY/MEWdsZM8XgPf/f8HDyo8wwCXtrEKZNnVQ7Snhzi9ifOlFLrYMTJsoDERI4cNWzIM4smbxo2gIhvtkFBXOfkDNSvz/VCp0/ze2OKVq2A99/ngbUlPZxWrOCITJ8+5u9rS7p2ZRW9x4+Nb/fvv1z/1quXecfPnZsjS8uXZ+2btWULRxHffdfw/i4uwDvvsFLhrVuGt4uL41qPrl3VD8otxcuLHYE1a3hm3uH4luZBlTEnK+pa2rYpHDjAz40a6d+lYEGOJM2fD2hVtgIyxKVL/Bu6cwd47z2OblapAnz7LXD+PA9oBw/miY9//+U+Zlu3cuRXLa6urA65ebP+HmgOx7swP1vLyUqNTtqgziebTJjAkez33tO/3ssL+OYbdrR/+YUzCWrVco7+bKtW8cROixZcA3jlipGNc9cEFDcgzIiTFXGRewnZMpIFcITIqzDgXQxovYujRsKLQ+EOrOB4Z7n+9eHHge0tOdLz0ibgtWdAhyNAxxNA2/1c13dlCnBkILCzPbChBhBmpKCaiCNZ+Zo7R8TUtyT/Bm7+CzzYanr7W/M5+ltMZcPSFwFzcgsd9XCmmqz4eO5VBHAPIkXh5yQ7p0LrapEmT7bvea1NeDj3uKpXjyjZzCbjzZpxvyVL+j7ZkpMn+bOZYSSlOiGBleZef92yc9y/T+ThQfTRRxmXN2/OvbriTQhM3bhBqX2cDLFqFW+jr67OFjx4wLVkgwfb53wmWVc5i3JgBg70I1pZNMOirl2JypY1fti5c/l93bvXctMePeLvT758afV/d++ygqGLC2XoSfbOO9lTCNy/n4+zwBlb20Re5fqF6/9a53hXpvHxYu5a53hW4uZN/lzN+W1cu8b92RSFaz8dVUp0+jTX39auTTRzJlGePFyza/QataEW0fa2htdf/Zs/p6jrVrc3C85Wg/UCEBtL9M03rG7atav6mmWbsLsbK59mVm28v5loSSDRyuJEsQ8N769JJHqwnejmfKIVhbgH3zMDLyjqOn+vr0y1nv3ZJTGSaHVZ7sFm7LegSSJanl+dKm8OBlKTZVsuX2ZFtFmzOFVn8WJO+Vq61H42JCbyjGXFipwmkpPJnZvVy44eBaZOVb/f+fOcOvPBBxyZcSZq1ABKleJIkyE2bWKluX79LDtHoULcE23mTO7NBXAUcc8ejmR4mhCYKlWKe1TNn29YlWz5cvvWuxUsCLRrx2mk2Y3yWAX/SsYjWZGXAb/yGRYdOmQ6itu1K/fO+u8/y0373/+4VmrHjrRU4aJFOfJ4/z6rRy5Zwoqes2al9cCyhIYNef8VKyw/hs3wzMfPCaHWOV70DVas8ypsneNZiUmT+Dr3+efq9ylThiPq3buz8uxnn6mr3bMmycl8nfL15WjWu+9yVPXiRU5rNkie+hzJIgMXgrAjgGcewMdMNUpLcIaIgoN59ox7cX77LY89liwxEY3MJm+9xdewtm0546J6dU5vN3SvsinlPgLiHwLX/k5bdn8jsKsT4FOMVVG9Chje38UdKNiKU03bHwXcfIGdHbimMDO6/liOrsdKj7sfUHkw92DT1Yvp49FOIP6x8/dAszfmeGSOejhTJIuI+yHp0GiIKlbkWTp7oNUS9e7NM8tO11vIQrRaonbtWCXx3j11+3z6KUdyQkNta5ulfPMNkbs70bNn+tf36MFRiMREy89x/Tr35erdm+jwYVaBq1JFvRLcn3/y9+jUqazrEhL4eG+/bbl9ljBvHtu0x0xBI5ugUxdL1NPATKvlWcwjaaHEBw/Y9t9+M33od97h3nKGvh/GOHqUz2PPiN9HHxF5e/MMs1Oh1RItcCM6+T/rHG/Pa6wu6ETExXE/uTfesGx/jYavRwBRly7m90HMDn//zeddujRtmVbLCpslSxq5/l2babwH1vrqRDtsKHkqpLJtG9+bAb7nenikRck7d9Z//8gO27fzsUeM4P9DQ4natOFl3bqZztKwOlot0bZWfL0PP010Yx7RYh+OtiZGmN4/M0+Ocg+prS2yRoYO9ueegc4WPU2KJVqWj2hXZ8PbHHyXaLEfb/scA4lk2Z48edL+dnHhWpITJ3h2ztZMncoz/T//bHsxAnuhKDxLlpjIalmmiInhKMDrrwN589rcPIvo3p0FENavz7ouLIzV2t58M3uCHaVLcz3eokVAgwZAQADXX6jtF9azJ+DmBixYkHXd+vUcKXn9dcvts4RXX+XakoUL7XtevQTVBUDA05NZ1yU8AZKeZYhknU5p7VOzpulDf/JJ1t5yahk7liOMP1rQwsRSuncHYmO55s+pUBQu0E4Mt87xYm46XT3W+vUcSTBXIEeHiwsLYvzxB9c8vvuufSLFGg1HI+rV4z6GOhSFv7u3bum/9gBIE7/QV5eVHANEnON6F8GmLF0KdO7MmQ/Hj7PYVHQ0157+8gtHSuvXB/78kz/v7ELEde7FinHNOcD3+A0b+Lq3ciXft+Ljs38u1SgK0OAf7uG2sQZwsC/gWwZ4aT0ro5pLnrqs3Pd4NysX6tAkAvfWcH8uK0dPb9/m93PgQM68Mhs3L6Dcx0DIWv2Ku5oEFv0o1o23FdIwxyNz1MPZIlmZCQnhvPfgYPX7xMaaX8d17hz3nurUyfkmOqzB559zZObSJePb6Xr97NtnH7ssQaPh2qiOHbOuGzWK7T971jrnWreOaNAgjmyZy8svExUrlrWurVMnosKF7V9rSETUqxfXG2UnymcVYh/ybPqFCVnXPdrL60I2pC7Sfa5Pn6o7fPPm/B6b04Pq7l3+jXz9tfp9rEFiIlFQENFbb9n3vKpYW8l6dQBLc2eITjoDXbsSFSpkfs2qPkaO5O9ov36mf19aLUdab9+2rO51xQo+15Il+o9dowbXZum9l2mSOVpwVE+zP91v795a8416gdFqzRs3bN3K2RiNG3MNqD5CQ7mHIsD3kpiY7Nl45AgZrTWfOpXHWs2acT13doiJMfMeE/uA6Oin3EMxu/3INIlEmxvzd1zXh+3eupTv9brsHTsT4eFERYvyZ+njw7Wd/1pSwhr3iGihJ9HhD7Kuu7s6y/3weQVmRrIc7kCpeTi7k0XEA6aKFU1fxK5eJWrShAdKhQqx46SW1q158PnQSI1lTubRI74ImBKDqFOHm7o6u6P58898Q7hxI21ZQgJf8Fq3dpxd6VmwgK8CO3emLbtzhy/EQ4Y4xiad4MZaM8ZQkZEs0GD19NGVxYj26cnTSi28T/twe/XiFCi17NhBJsVHMjNkCH+nLHGos0v//py2Zs90M1VsaUq0rWX2j5MUw5/pOTM+EBsTFsaDo0GDrHM8rZZo6NC0QbG+30tyMtGiRUTVq6elhdWsSXTggHnnatyYqFQpwxM1ulRCg02xtzYn2tQw6/ILE/hzMiY2IGTg3j3+PCtV4uuOKbZsYdGJqlVNOzMaDTtFikLUp0/27HzvPU5LNpZGvXgxpyw2aGBZk/TkZJ4Q9/Bg0S2HTdbG3CNa4s8CS48PEO18hWhZHssbsxvgzTdZUOrIEf4sW7Tg9M/Hjy042KH3iRblIorLtPO+3my7xtEzo7ZHnCwHMW2aiRsGEUVFEZUrxzPCgwcTFSzI0Y7bt00ff+dOPv6oUVYz2Sn58Ud+nefP61+/aROvnzLFvnZZgi7q8N13act0A4uNGx1nV3piYljtq206Ia///Y9tTO8c2pOEBK5X697d9Lb79/OspqKwzX5+RMuWWdGY3d2I1pTLuvzop0SLfYm0aVP8VapwjYI5dO/Og+jjx01vGx7OTs6rr5p3DmuxZg2/x5s3O+b8Btn9KtfoZJfoWzx4v2ZEFtTO/PWX6fuKJUydygOv3LmJvvqKaPRodqL79iWqUIHPWbEi328mTuT7lLs71wOqYc8ePsYffxjeJjQ06/UxAye+4ZnzzIPOfb1Z0S2baLVEt24RRVhQVpOTSEjgmnGAJ2kVxbhi7PHjPAivXj1j/bkpfvqJz7F/v2V2PnvGDtZ775nedvlyPlfLljyuMocvvuB9u3fn8VhgICtxOoT7m1lxcD5SJnhGWPXwS5fyax06NG3ZpUv8u/tcT5DYJM8usJ1n0h0w9iHRQg++J74AiJPlIJ484ZvWN98Y3ubXX/kd37WL/z99msUFKlc2XlAeEUFUvDhfEKKjrWq20/H4Mc8w6RNcSExkeewKFZywAN8A3bqxU/3kCQ+SixQhatjQuaJwkyZRquT8li2cktqzp2Nt+vpr/j0ZSlMh4tl9gFPufvmFbygNG/KyVausZMi5EXxTSXiacfnWFhlm2TUaft/MTeMLDeV0TX9/fg0bNxpON/zmGx4gnTlj3jmsRVwcD74+0JMt4lAOvkO0okj2j/PkCH/Wd9dk/1hWolkzIyl12eT8eZ4U8PRM+x2VKMERqCVLMqYnPnnC39NSpUynw2q1nK1RqJDp9LF27YjKG9IZubuKP4+HmUIvq0sT7elh4tUZ5+7dNMfDz4/FFpyJuDhu9bB9e/Y/+8WL+XUuWsQOSbVqPLF25UrWbe/e5c+teHEugzCH6GieOG7e3DI7//2X7Tx4UN32M2ZwxkWHDurT/nSTnF98wf/fvMmOnUPToOPDWLjn0mROk7USCQn8OdaqlfX9GTiQJ03uWtKpYmcnlmpPTgkjnv45RaTGRJ3Hc4I4WQ6kc2ceROvLnX/yhAdSXbtmXL55c8YfvT7eeYcvJmovPjmd77/n9yTzjW/CBF6+zropyzbl9Gm+mDVrxg9d2N6ZSEjgSJYuNahSJePOjT04f55tGTdO/3pd5PjDDzNOPMTFcTppYKCVeqvc38w3kAfpvoxaLdHSIKJDA1IX3b7N9vz1l/mnuHGDqFWrtPdfUXg2d9u2tAHW6dP83Xn33Wy+nmzSqxen2FijPshqnPiGU1iyy731/FmHHsr+sazArVuUQWXNVsTGct89Uxw4wDPg779vfLslS9juqSpa/UycyNveuaNnZWIUz5AfTzdzEXGZP6OLk0wf3ABnz/Jknb8/X18qVGDnMrv1RDq0WqLLl/l9sKRu6PRpvgbrrgd162av/qhlS05j1tXVXb3KEa3SpTOWHly9ymmhfn6W1wv//jtZrA7buzdfW8yp/9PVZ/fvb9oZ3bmTr6EdOmRMYf36ax5f6XM6czIzZvB7s0FPmdTVq7xu7FgLDvxgO/8GL/1O9OwiX3v3qEg7eU4QJ8uB6GaMtmzJuk43C62vBuvTT3m/rVuzrtPVzDiqPsYRxMbyTbBkyTR52H372Fnp3Nm5okBqmDuXL+J+ftyM0xmJi+MBx7hx1htsZJdmzbh+LbNkr+5m2amT/sH+9etEBQrwjKyuUa/FxD/hG8r5MWnLYu+n3GTScqG2bdM/MaAWrZZv8tu3s4OlayhcvDg7kvnz88Oc9B1bsGwZOV/K4LlR/HkkZfOLe322/RrcqkAnUnHzpqMtSUMnBT9ypP7rcEQE/+5q1VInmnP6NB9v9mwDG2xvR7S2Qtr/50byZxStzyszzYoVHHHOnz+txmzXLrZhzBjj+5pCq+X2DeXKpTlIRYqYF3kOC+OIYaFCbOs//7Bj26+fZTbducN2DB+ecfmhQ0ReXpzivHQp0ZdfcgaJr2/2UtljYvi97WCmun5yMmd8WPI6g4P5NU6caHibpCSOmJYvn7Xe6+FD/k44egLLmmi1nO5Zs6bh8VL9+rzeooNvbU60wIUnG5flYVGQFwRxshxIXByH4TMLN1y4wCkZhi4gMTGc/16kCF9kddy/z0IQTZs6YbG5jTl4kMP4Li4c/fP1ZcdLrXKbs/H0qWOU+nIyW7dSlrqOw4fZWa1UyXhx9Nmz/FssXtwKUblVpTKq1+lUoB7tTl2ki6zpnZG3gIgITm1p3ZonF1q1MlynaE90PZv69nW0Jem4Op0/jxhLcl/ScX4MHyfRzCIPG6DVchp506aOtiQjsbF8fwM4vTUzn33Gk4mHD6s7nkbDg3KDgglXpmWMLm6oTbSpgcnjarVZU8p1NUMNG2YVj2rViqNZlk7gPXvGfcwATpebNIlrGAsX5pKA06fVHadr16y1b0OGUIYyA3OYMoX31afYu20bv/cAO3JvvaUuommKESPIYP9FQxw8yPssXGj++bRarlP18DAszjJnDh9/xQr96z/8kMdo2VUstCXPnnHK5wMV/oxOpXHaNMPb6KKOFt1XEiOJtjQhWuTNyoIvEOJkOZhBg3iWXXcR12g4Pz0oyLgq4LFjvF/XrryPRsMpXLlyWWE2Pofy+DGnOigKpyk504yuYHu0Wm5C6eXFqaJ//cWF+qVKqWtaffQo/36aNzees29yYHWgH8/Y6fLlT35PtNA9Q+Rk0CA+lyVS16ZwtsjtgAE8AWJuwbnNuLOcB+LhZozq9KFLO3SCN/zkSdODJEeh0fCsf3ohpvh4drAAok8+Me94vXtzLY/etz0xkpvA7mhPFHktpaWCgRziFDsGDSIqU4ZtadqUG2l36kSpaWX66nlnzSKLBUZiYjhqoChZI3y3b3NU3cfHtIrd3r0Z31MdsbH8/rzyivm2tW3L6ZCGePqUI1fWdC6ePuWJMHOaZ//yC0+oWhqpDw3lCGLu3FlTHRMTOTWydm3DP+3sOHn2IDqaJ+J10VFT6Zzvv8/3TWMTkQ8e8Hv+448WGmVuT4DnBHGyHMzFi5Qh9UAXyp41y/S+uvz0997jGxXAs9kvMlqt86SvCfbn4cO0Piw6KWlzVA/nzeP9Pvoo4/0gNpZz8QsWZKdt0SIjDtLNhSmz6SlFkRtq8SxeOjp35tSbFwGdcpyaa5pdeLgza92cJRzoZxXVOmvw2Wc8M+/o9FBDJCezNDTASrl16lBqbbG5/e10dTUGayh1ku3LC7DaYPQtvZvFx3PkF2CnasAAFnlwdWW10iFDDGcTPHpkfq9LHboaYkO1wjdvchZGqVLGhavatWM79d3vfviBB8TmRMqfPuWJ22+/Vb+PtfjmG37f1UbG6tfnCGN2uHmTI4eFCmVscTF9uvHPh4i/z3nyOGkfQGIlQJ0DXrgw37cMqWJGRLBTryb9sW1bdkBfQF/JYsTJcgKaN+d6og0b+ML41lvqvsRaLQ/8dAPK996TL78gaLXc2+XwYct+D4MH8++pfn1W+Bw7Nm1QWK0apxQCRnoRxT/h/PPTPxFF3dQ7m16xYlZRm+cVrZb751SrZt/rU1QUOx8ffZQxrZqenuHP5LaerrfmsKMj0UbH32uioliUIbs9h2xNYiJRjx782wkMJFq50rLjXL7Mx5g+3cAGyQlEB98l2liXxUkMoJukzFz3GhWlLt2+cWOOdpjDnTvsyPTvb3y73bvZNkNy9boo1ujR+tffvMlO4M8/q7dNV89tqaR6dtBNNv/2m+ltHz/m15ZeZtxSzp3jaFaxYhyhe/SInZIGDUxfq958k51cW2QjZIfQUJ5w0QnO6FIBDX2XJk/m9YdU6PfMns3bqk3vFcTJcgo2bUrr21OokPGQrT6uX7d8QCkIQkY0Gq7rSl+QXrYsqy8R8QCsd2+eEDFYO7GtFUc5zo/lAX1kWmOV5GS+CQ4ebPvX4izobs7mNIzODmFhPFDSfX4tWqS7Psbc5c/kqqFRuko21mFHy4Y8eMBS1XPmmG7S64jBsblotZyWm50m4Fotq93pa9uhlpgYHly3b2/5MUaP5vfdHFnrb7/l68atW6a3fecddsguXsy4PC6OJ2mKFzeegtuhAzsMamt7Ha0EWqcOP0wxfz6/79ZS3T1+PK3XG8DXZjX93XRZD86m/qu7Hpw8mbbs7bf5dWXu75WUxBP8apxKIo52enhwrzxBHeJkOQlHj3IdicOa3AmCkIWEBB6wZ74BhYfzIK1bNwM76uS954Nn1NNx86aJmfjnkIQEdlorVbK9oEtCAqvVeXpy/7OpU/n93qFrn5QYlVUB0hJWFueUQRtx8SJHfHSDv1dfzTqo1qmC1ajxYk2ydenC3ydL0TWn3bbN8mOcOUPGlQ4zER/P14zMQleGePSIa5Uyq6Lqmr8baxBMxJFCtS1MEhI4Gqqmsa+t0EUWMzuVmenbl51sa0aQ4uP5ejxokHoBjtBQ60XUrMnLL3OqafrrQUgI18Vm7mepE/gwJ6rctSs7707VlsOJMdfJcoFKFEXppSjKdEVRVimKsib9Q+0xXiTq1gUGDQLKlHG0JYIg6PDwAIKCAEXJuDx3buCtt4CNG4GEBD07FukElP8c8AgCao3NsOrqVX4uV842NjsjHh7AuHHAxYvA1KkZ1xEBU6YABQvyezJ0KBAXZ/m5xo0DTp4EFi0CXn0V6N8f8PcH5s1L2cDNB1DcgMRnlp8EABLDAI882TuGoUMnAt278/t25AgwaRKwejVQuzZw40badps3A2fOAJ98kvU7+jzTpAn/jh4/tmz/5cuBPHmAFi0st6FKFb4O7N2rbvvNm4GnT4F33lG3ff78wLBhwIYNQJ8+wM2bwMyZwJgxfIz27Y3v36kTEBgILFli+lx79wKRkUCXLupsswW9ewMuLsB//xneRqPh97F9e97WWnh6AgMGABMmADVqqNsnb16gTh1g61br2ZFdYmKAbdv4c0x/PShcGPjmG/4uLF/Oy+LigJ9+4tdgzufeuzdw/z6wb591bRdSUOOJARgHIAnAFgBzAMxO/zDHq7PkkRMjWYIg5CxWreJZwN27jWykJ7zw55+8nxrFw+cJrZZTmNzc0tIGnz1LU3Jr0YLTt3Sy1saK/g1x/DgfP/OMba9emRTpluUlOvyh5S9Gk8jRsDO/Wn4MI4wZw+/D+nQlRbt2cSQkVy6ur9izh1VoK1XiFLIXiX37zJ+B1xEfzxEiU02S1dC5s/qI2ptv8udlrtDHr7+mRTMBFryIjFS3b//+LAmfuXdgZoKDOSpjSBzBXnTsyL0ODUVJdCI6zqLq97//sWCHo983HZs2kcHeq3FxXEeYKxfR6tVpEdGdO807R3Q0R8U++MAqJj/3wBbpggAeAXjNnANb8yFOliAItiY83DKFsS+/5JvUi5TepSMiglP5AHYO3N3ZKRo/Pi39Z+FCSlWeM4eEBBYryZs3a3+8GTMypSKtKUe0t5flLyTuUUqD6cmWH8MA9+9zn7/OnbOuu3WLhZF0A+7ChTMqo70oxMVZXte4di2/d9lpoqtj7Fg+lqleRDExrOA2cKBl5zlzhtNeJ082z0nbsIFU1UK2bcvCNI5m8WLDTgIRq+blyqXeybQ1O3awvaudpPXTkCHs9Bmq1Xv8OE3aHeDaYkvo3ZvVFc2dMHgRMdfJUhugdQFwypoRNEEQBGcid26gVi1g507z9rt6FShb9sVK79Lh7w9s3w4EB3MKyyefALt3A19/nZb+07s38OmnwB9/mJeS8uOPnFo3bRqnSaWnVi1+Pns2ZYFHbiDpmeUvJPFp2nGszI8/cgrqhAlZ15UowelUR44Av/8OnDgBlC5tdROcnly5gGrVgOPHzd93xw7ev1Wr7NvRrBk/m/qerl/PqVy9ell2nmrVgI8+4t+Fu7v6/Vq3Np0yGBMD7NkDtGljmW3WpEsXtnfOnKzrtFpOdevQAfDzs7dl+mncGPDx4bRxZ2DvXk4p9vXVvz5fPv7NLF7M15F//7XsPG+8AYSFceqmo9Bo+FrftSs/3niDv8c5HbVO1nQAfW1piCAIgqNp2RI4eNC8GqKrV1+seqzM5M4N/PIL1w789hsPVDIzahQ7FJ98wjdTU2zbxrVYH34IvPZa1vWVKrETl+pkuQdkrybLgJO1eTPwwQfA0qVAcrL5hz1xApg9G/jiC+PfkXr1gM8/BwoUMP8czwt16vD7xckz6tm/H6hfn+vdskvt2oCXl+m6rMWL+bPKTg2YJXh4AD16ACtXArGx+rfZvp2d+pdftq9t+siViwfLK1YAEREZ1x06BISEAK+/7hjb9OHpCbRrB6xbZ/730NokJACHD6c5/obw9gZ69uSaYkt/Ax078vd5+nTL9s8O9+7xfaNaNeDjj4ELF4Bbt/h73KoVcOmS/W2yJmqdrEAAXyiKsl9RlGmKovyR/mFD+wRBEOxGy5YsUnDwoLrtk5NZuOBFdrLU4OsLjB3Log6zZxvf9to1HjRUqaI/+gPwQLh8eT4eAMDdD0iOttxAPU7Wzp08UJ0xg+0pWZJFPEJC0nYjAu7e5YFCZp494wFm/vwczRKMU6cOv2fphUBMERvLjpk+x94SPDyAhg2NO1lRURzJ6tkTcHW1znnNoU8fIDoaWLtW//oNGzgyZGpwbi/eeQeIjwfmz8+4/L//+Hf8yiuOscsQL7/Mv+fUa4uDOHaMHa2mTW1/Lnd34N13+Xut71pmDXTXyoMHOVJ46BDw5588YTZoEG+zfDlw+TJw6hRw/Trwzz9AxYq2scdeqHWyKoPTBRMBVARQLd2jqk0sEwRBsDPNmvHASW3K4O3b7GiJk2Wa115jFbkff+SBqj6Sk3kQqSjAmjU8S2uIatXSRbLcfK3qZGk0POgoV47TaFav5vMNHcoRuQoVeObX0xMoXhwoVozV3y5e5MOcO8epUjducBQsIMBy014U6tTh5xMn1O9z5Ah/Z5o0sZ4dzZoBp0+zOp8+1qxhp8HSVMHs0rw5f+emTcu6jgjYtInTCq0R2bMGdetyhPCvv9KiQzExwIIFHMXy93esfZnp1ImfN21yrB26lFV7OFkA8P77nMI5a5Z1j3vmDDuuAQH8vW3cmN/jRo04XbZePY5enT/PCqy6tHs/P/XKnc6MKieLiFoaeVghE1oQBMHx+Puz5O+BA+q2fxHl2y1FUYCJE4FHj4AhQ/RvM3QoD5ynTjVdm1StGjsxsbGwgpP1jJ9TnKxNmzhlZfhwrinp0oVnX69dA776iuXpO3XiQcDvv7Pdhw9zrVjBgmzbqVMctXOWiIKzU7Uqz6ibU5e1fz8/WyuSBfDnpdUavgYsXQoULcqDREfg6srfwd27ORqQnqtXeeLHlBy8PVEUTgM7ezZNzv2XX3iiZcAAx9qmj0KFgOrVHe9k7d3LUZx8+exzvtKlgbZtOXKvJqVbDQsWADVrcvSqQwdg5Ei+Ju7ZwymZe/ZwanilSs9vTbObORsripILQFkABOA6EcXbxCpBEAQHUa8e92TSak33bhEnyzzq1+faoz/+4DqAjh3T1q1Zw07Nu++qixLonLDbt4FK7n5AkoHwmBoyRbIWLOB+ap07Zz3nuHH6D9GvH9v/5AnX6vTrx72bBHV4epovfnHgAA/QgoKsZ0fDhuzI7N3LA8P0JCRwH6X+/a3b18lc3n+fxWamTGF7dWzZws9t2zrELIP078+iDJ9+yp/Z9Olcn2mvKI25dOjAdUJRUY4R5dBqeQLB3vVqH3zAGQebN6dF9Czlzh3+vBs04BTW3NbXFMoRqLpMKIririjKOABPAZwGcBbAU0VRxiqKolobR1GUQoqi/KsoSqiiKPGKolxQFMXOpaOCIAiGqVePi7SvXze97dWrXG/0IgsWmMuoURwtfOONtJn4pUt5QFGnDufpq6FkSX6+fRscydImAppEy4xKfAq4egOuHoiJAVatYnvMSbkqWZJngVet4kiDOFjmU6cO16KoER0gAo4e5UGcNfH15fQ2fXVZu3dz5NTRohK+vix0sGwZp7MC/H789x87nWXKONa+zLi68sRF/vzsYPXuzQ25nZWOHYGkJMdFs86d4/pEe0fBu3The9nff2f/WO++y6m8c+e+uA4WoL4mawxYXfBDAOUBlAPwEYC3AIxScwBFUQIB7AegAHgZQCUAnwGwsMe7IAiC9albl5+PHTO9rU5Z8HlNdbAF3t7siOTJwzPutWuziEC9ehwlyJVL3XF0TtatW2AnCwA0MZYZlfg0NYp14AAPpLt3t+xQguXUr8+DS12E2Bj37gGhoWm/V2vSrBmnrcZk+jqtWcPfz5desv45zWXAAI6sTZzI/x86xE7np5861i5DFC0KXLkChIcDCxcCbmblUdmXZs3Y2Vi2zDHn1zn49nay3N2B995jURVzaiMzs3cvqwP++iu3N3mRUetkvQngPSL6l4iupzzmAHgfQB+Vx/gWwAMi6kdER4joJhFtJ6KLFtgtCIJgEypXZtWrI0dMb/uiy7dbSsmSLC7SqBHf2L/4gh0sc2Y8CxXifW/fBqsLApanDKZzsnTOdb16lh1KsBxdVErNb0+XVqgTzLAmXbqwA7NuXdqyuDhWyOvWzbggi72oXh3o25fTV8+cYSXOgABOU3VWXF1zRlTD1ZXr2nbs4NQ9e7N3LzulJUrY/9yDB3Md2AcfsMCLJYwbx8cYONC6tuVE1DpZAQD0Jc9cB8u7q6ErgMOKoixWFOWxoiinFEX5VFFkDlgQBOfB3Z0HbocPG98uKYmjKC/6TJ2lFC/ONSSHD3PqkJeXefu7uPAxMkSyLBW/yORklS2bMwaDzxuVK3MqnKnfHsBOlosLOxvWpmlTFjBJ3/R32TKOsjnTwHHCBG6eW6MGy19/+KHhxrWCebRqxfWV2YnoWAIRO1lNmzomQyIwkJUgjx0DPvvM/P0fPuQarPfec47JCEej1sk6DeBzPcu/AEu7q6E0gI8B3ADQHsDvAEYD+ETfxoqiDFQU5ZiiKMdCQ0NVnkIQBCH7NGjAg7ikJMPb3LzJKkwSyXIcJUumq8kCgCQLnaykZ4BHIAD+3G0RHRFM4+rK6X9qnazKlW0zkHN15Zq8DRvS2g389Rf3ZrN3A2Jj5M/PEeFRo9i+4cMdbdHzQ+fOnNK4cKF9z3vzJnD/vmNVSbt1A778kuXcz583b9958/i+2L+/LSzLeah1sr4F8LaiKFdShCvmKIpyGVynNdiMc50gov8R0Ukimg3gDxhwsohoOhHVJaK6+eylYSkIggCWnU1M5BoCQ4iyoOMpWdJKkaykKMDdH2Fh7LSJk+U46tdn+XtjqUpEtneGe/ZkG6ZM4SatBw5wpMjZcm9q1gS+/57Tu5y5zimnERTEzsasWVlr8zKTlAT89BOn95Upw70AL1+27Ly7d/Ozo1s/fP89182+9FLKNVYFRMCcOZwGXqGCDY3LQajtk7UHLHixFIAvAP+UvysQ0T6V53oA4EKmZRcBFFe5vyAIgl2oVo2fU5vd6kHngJUvb3t7BP0UKcJ9tzQuKTVZyRbWZCVHA26+qQOjKlWsY59gPg0a8KD11CnD24SEAI8f29bJatKE5ax/+AF45RWgcGHg7bdtdz7B+fjyS04RnTPH8DbTp7NTMXw4O1hly3JksWJFFvWZM4cnBNQoZgJcm1qgAPeNcyQFCrB4RWwsq6Wq4dgxjnxJFCsN1Z0eiOg+EQ0hoh5E1J2IfiSi+2acaz+AzL5teQC3zTiGIAiCzalYkVOGjDlZFy/yTJ8E2h1H/vxcmP4kIoAXWJwuGAW4+aY6zhKddBy6vk8HDxreZl/K1K4tGwIrCjdOrV2bne7jx63bj0twfho14u/juHFZU8c1GpYp/+ADIDKSI147dnCPqbt3uV4uPp4bltety1HG1q2NN7rXark5b9u2zhExrVaNI3SrVqmTs58zh9U31fQ5fFEw6GQpilJbURSXdH8bfKg8128AGiqKMkRRlLKKorwOrvNS2RVFEATBPnh6crqDKSerUiX72SRkRdef7FGYLpJlgZOl1QCaWMDdD1eu8GBIJw8v2J/ChTntypiTtX8/CzzUrGlbW3QiHGfOsBCG8GKhKMCQIZxCPHVq2nIiTh2dPZvXX7zIzpSOwoWBQYOAkyc5GjRlCtCnD4toNG1q2GE5fZrbErRrZ9vXZQ6DBgGlSrEcuzHi47l+rXt3VrkUGGORrGMA8qb7+2jKc+bHUTUnIqKjYIXBngDOARgB4CcAU43sJgiC4BCqVTPsZBEBFy5w4b3gOFKdrPBs1GRpYvk5JZJVujQrTAqOo1Ej407W0aOcKmiPGiQ3N1YxFF5MXn6ZH4MH83fy6VPg44+58fiPP3KaoKur/n09PVml8JNPuFH0nTt8X3njDf3psFu38nObNjZ7OWbj4cHpggcPGv9NrlnD742kCmbE2KWjFIDQdH+XTnnO/Cit9mREtJ6IahBRLiIqT0R/EKnNVBUEQbAf1apxwW+UnjKf0FBuqimRLMeic7IePk7pYGxJnyydY+bmK33PnIRGjbjZ8N27WdclJfGMv4iTCPZAUYC5c4FixdhhKlqUlRwHDTId3cmMnx87I35+ab3Y0rNqFd93ChWymvlW4Z13WNp9wgTD28ycmfYeCWkYdLKI6HY6B4gA3ElZluGRsk4QBOG5Qid+ce5c1nUXU1qoSyTLsaRGskJdAFdvyyJZKXVc5CpOlrPQuDE/65s5v3CBU5Pq1rWvTcKLS+7cwJ49wFtvcdrfyZPscFhSN1WiBDskd+8CP/+cJohx8iR/39OnHToLvr6cHrlyJXDjRtb1t25xFO7ddw1H9V5U1AbBbwLIUt6tKEqelHWCIAjPFbomp/rSOnSOl6jQORZ/f07JefQIgLufZU5Wyj7hMbkRF8eDIMGx1KjBzan1OVnHj/OzRLIEe1KkCCsJTp+e/VrANm3YmRo7Fvjf/4CwME479PZ2TicL4MbErq7cOD4zs2fz87vv2tWkHIFaJ0uB/oiVLwAj3SwEQRByJiVKsHrgsWNZ150+zesKF7a/XUIaisLRrEePwL2yLEoX5H0ehrN0nAgcOB53d45U6VNi27uXIwtly9rfLkGwBorC0ay+fYExY4C8eYEVK9jhCgx0tHX6KVyYa8lmzmSnUIdGw8qK7dsDxaUhUxaMlo0qivJHyp8EYJSiKLHpVrsCqA/glG1MEwRBcByKwgM9fU7WmTMc6XIGmd0XnQxOVjbSBR88YUksZ6uHeFFp1Aj47Tfu0+PtzcuIWCK7bVsRoxByNorCYhiffsqpdhUqcF82Z2bwYGD+fH6eNYuXLVnC9ZO//eZY25wVU5epaikPBUCldP9XA1AWwAkA/W1onyAIgsOoV4+bK8amm17SaFh1UJdOKDiWVCcrm+mCD5+wDLxEspyD1q1Z5GLbtrRlZ88CDx4AHTo4zi5BsBaKws23f/wReP1155+0q1qVGzT/+y9w6RL3Bxs8mHvJdevmaOucE6ORLCJqCQCKoswG8AURRdrFKkEQBCegXj12qo4fB5o142XXr7PTVaOGY20TmPz5uWgcbr5AYrj5B0jWRbJ8AEgky1l46SVOnVqxgpXYAI5iAc7VR0gQXiS++47VFV95BfDxAR4+BJYtE8ELQ6gNuP8AwD/zQkVRiiqKUsC6JgmCIDgHzZpxn5wNG9KW7dnDz/XrO8YmISNBQSynb3lNVkokKzQXvL1ZXllwPB4eQOfOwOrVKZ8v2MmqWpVFCARBsD/58gHLl7MwzdmzwO+/Aw0bOtoq50Wtk/UfgI56lrcHMNd65giCIDgPuXPzjPrKlWnLNm/mQZ7ItzsHQUFAXBwQpwnKVrrgg0ceKFjQ+VN2XiS+/JL71H30EXD1KrBzZ1pUSxAEx9C+PdclR0dzo2XBMGqdrHoA9uhZvheAdKsQBOG5pVs34PJlrs1KTuYakfbtZTDuLOTOzc9P4/JZKHwRBbi44+EjV0kVdDJq1waGDePi+vLlefZ8wABHWyUIgqKkCdIIhlHrZLkB8NSzPJeB5YIgCM8FPXpwvvl///FM+rNnQKdOjrZK0BHEyut4GpuXHSbS123ECMnRgJsvHjwQ0Qtn5H//40L7gQO59q5kSUdbJAiCoA61TtZhAB/pWf4JgKPWM0cQBMG5KFCAo1lTpgC9enF/rFdecbRVgg6dkxUekwegZECbaN4BUpysR4/4sxacj379gL//BsqVc7QlgiAI6jGqLpiOIQB2KIpSA8D2lGWtANQC0MYWhgmCIDgLEyYAFy9yyuDffwOeEr93GlKdrOjcQCDYaXI14wNKioZG8cezZ9wUVBAEQRCsgSoni4gOKYrSCMC3ALqD+2adAPAxEZ22oX2CIAgOp3hx4OhR4M4dbhopOA+pTlZUADtZSVGAZx71B0iOxtOEwiDiKKUgCIIgWAO1kSykOFN9bGiLIAiC0+LlJQ6WM5LmZKVor2vizDtAcjTCYksDECdLEARBsB6qnSwAUBSlMID8yFTLRUQnrGmUIAiCIKjBz4+FScIjuZkwNLHmHSApCmExrHghTpYgCIJgLVQ5WYqi1AIwD0BFcKpgegiA9HoWBEEQ7I6ipDQkjvDiBclmOlnJ0QiLzgcgLSomCIIgCNlFbSRrOoC7AAYAuA92rARBEATB4QQFAU8jc/E/FjhZ4bEcwpJIliAIgmAt1DpZlQHUIqIrtjRGEARBEMwld24g/FmKoqC56YLJ0QiL4hCWOFmCIAiCtVDbJ+ssAGnTKAiCIDgduXMDTyPc+R9zIlmkBZJjEBaVG66uQECAbewTBEEQXjzUOlk/ABirKEobRVEKKIoSlP5hSwMFQRAEwRh+fkBUTEppsDmRrBSHLCzSH0FBXN8lCIIgCNZAbbrgtpTnLchYj6VAhC8EQRAEB+LvD0RGpdyGzIlkJUcBAMIi/SRVUBAEQbAqap2slja1QhAEQRAsxN8fiIxMCUOZE8lKigYAhEX4iJMlCIIgWBVVThYR7ba1IYIgCIJgCf7+QEyMAg25w9WsSBY7WeERuVC8jI2MEwRBEF5I1PbJqm1svTQjFgRBEByFnx8/RyflR4A5kSxNHAAgIsoDgYHWt0sQBEF4cVGbLngMXHuVviw4fW2W1GQJgiAIDsHfn58jE/MjwJxIVopDFhXjnuqoCYIgCII1UOtklcr0vzuAWgCGAPifVS0SBEEQBDNIdbIS8pmpLsiRrKho19RjCIIgCII1UFuTdVvP4muKokQA+AXARqtaJQiCIAgq0TlIUYl5zFMX1MQiIckDiYkuEskSBEEQrIraPlmGuAmgphXsEARBEASL0DlIkfF5zItkaeIQFc87SyRLEARBsCZqhS8yNxxWABQCEAzgspVtEgRBEATVpKULBgHJ59TvmByLyDjeWSJZgiAIgjVRW5P1BBmFLgB2tO4C6GVViwRBEATBDFKdrPhAMyNZsYiKk0iWIAiCYH0sbUasBRAK4BoRJVvXJEEQBEFQjy4KFRUfYF5NVnKcRLIEQRAEm2DUyVIU5XMA06UZsSAIguCspNZkxQWYH8lKyA1AIlmCIAiCdTElfPEbgNRbj6IokYqilLatSYIgCIKgHnd3wMsLiIzzM1NdMA6RCXkBSCRLEARBsC6mnCzFxP+CIAiC4HD8/YHIWD8z+2TFIiohKHV/QRAEQbAW2ZVwFwRBEASH4+cHRMb5mB/Jis+dur8gCIIgWAtTThYho6pg5v8FQRAEweH4+QHRcV4AJQPaJHU7pavJ8vW1oXGCIAjCC4cpdUEFwA1FUXSOlS+AM+n+BwAQkSRaCIIgCA7DxweIjsvF/yTHAh4BpndKjkNkfAB8fQEXyesQBEEQrIgpJ+sdu1ghCIIgCNnAxwcIj/TkfzSxAFQ4WZpYRMUHSD2WIAiCYHWMOllE9K+9DBEEQRAES/H1Be7GefA/auuyNHGIjPOTeixBEATB6kiChCAIgpDj8fEBYuLc+R+1CoPJsYiK8xUnSxAEQbA64mQJgiAIOR4fHyA6JsXJUh3JikV0vI84WYIgCILVESdLEARByPFwJMuV/1EbydLEISbeCz4+trNLEARBeDERJ0sQBEHI8fj6AvHxrtBoXdRHspJjER2XS5wsQRAEweqIkyUIgiDkeHSOUky8j5mRLHGyBEEQBOtjSsI9FUVRGgBoDSA/MjlnRPS5le0SBEEQBNWkOlkJPvBXE8nSagBtImLiPMTJEgRBEKyOKidLUZRvAIwFcA3AfQDpmxGT3p0EQRAEwU74+vJzTILKSJYmjrcXJ0sQBEGwAWojWV8A+JyIptjSGEEQBEGwhPSRLFU1WZpYJCW7ISnZVZwsQRAEweqorcnyB7DBloYIgiAIgqXoHKXoeF8gOcb0Dpo4dsjS7SsIgiAI1kKtk7UQQAdbGiIIgiAIlpKaLpgUmJoKaJTkWHGyBEEQBJuhNl3wLoChiqI0AXAGQFL6lUQ00dqGCYIgCIJaUtMFk3KrTBeUSJYgCIJgO9Q6We8DiAbQOOWRHgIgTpYgCILgMFLTBROD1AlfSCRLEARBsCGqnCwiKmVrQwRBEATBUlIjWYmBgCbc9A6aWK7fQlqqoSAIgiBYC7ObESuK4qsoisz7CYIgCE5DWk2Wv6QLCoIgCA5HtZOlKMoniqLcARABIFJRlNuKonxsO9MEQRAEQR2p6YIJAZIuKAiCIDgctc2IfwDwPwDjAexLWdwMwGhFUfyJaLSN7BMEQRAEk7i6Ap6eQEyin0SyBEEQBIejVvjiQwADiWhhumXbFUW5CmAkAHGyBEEQBIfi6wvEJPhKJEsQBEFwOGrTBfMDOKpn+REABaxnjiAIgiBYho9PipMlkSxBEATBwah1sq4AeFPP8jcBXLaeOYIgCIJgGT4+QHS8j7pmxJpYxMSzd+XtbWPDBEEQhBcOtemCwQCWKIrSHMB+cG+spgBaAHjdNqYJzsTic4ux4tIKdCjTAf1r9oeiKI42SRAEIQOcLuitLl1QE4eYxHzIlYvruQRBEATBmqjtk7VCUZQGAL4C8AoABcAFAPWJ6KQN7ROcgE3XNqH38t7wdvfGkvNLcPbxWUxsL/2nBUFwLnx8gJiIXOrSBZNjEZMYIKmCgiAIgk1QG8kCER0H0NeGtghOSFRCFN5Z/Q6q5KuCIwOO4Jst3+C3Q7/h5XIvo3Xp1o42z65otBqsvLQSWtKieYnmKOhb0NEmCYKQDh8f4P5DL45kEQHGIu6aOEQn+ouTJQiCINgEg06WoihBRBSu+9vYQXTbCc7Lvch7uB91H0FeQSgVWAquLuryYxacXYCH0Q+xvOdyeLt7Y0K7Cdh4bSOG7BiCVqVavTBpg0/jnqLb4m7YfXs3AMBVcUX7su0xqvUoVC9Q3cHWCYIApESy4j0B0gLaRMDV0/DGybGISRAnSxAEQbANxoQvQhVFyZ/y9xMAoXoeuuWCEzP/zHyU+r0UGsxogHKTy6HO9DqIiI9Qte+MkzNQLX81NCraCADg5e6F75t8j8Mhh7Hz1k5bmp1t4pLisOnaJlx+kj1tlqiEKHRa0AkH7x3EjM4zcPj9wxjUaBCOhBxBwxkNsf3GditZLAhCdvD1BWLiPPgfU3VZmljEJPrC19f2dgmCIAgvHsacrFYAwtP9re/RMuVZcFL+OvYX3lr5FpoUa4LVvVdjYruJOPv4LL7e8rXJfU89PIVj949hQO0BGSJW/Wv2R17vvPjz6J+2NN1iiAgTDkxAiUkl0HF+R1T6sxIGbxmMhOQEs48VER+B1v+1xtGQo1j82mK8V/s91C9SH2PbjsX5j8+jTFAZ9FjSA/ci79nglQiCYA4+PkB0bIqTZaouK0XCXSJZgiAIgi0wmC5IRLvT/b3LLtYIVmXs/rH4btt3eLncy1j6+lJ4uXsBAB7HPMbo/aPxeuXX0b5se4P7zzgxA56unuhTvU+G5Z5unnin5juYeHAi7kfdR2G/wjZ9HeYyYu8I/LTzJ7Qr0w6f1f8M66+sx/iD43Hm8Rms7r0audxyqTpOoiYR3Zd0x8mHJ7G853K8WvHVDOvz++TH6t6rUenPSgjeFYwZXWbY4uUIgqASHx8gJs6d/zEl457SjLiQOFmCIAiCDVDVJ0tRFE261MH0y/MoiqJReYxgRVEo0+OhuQYL6ph5Yia+2/YdelftjZW9VqY6WAAQ/FIwygWVw9dbvoZGq//ji02Kxbwz8/Ba5dcQ5JW1JG9gnYHQkAYzT8y02WuwhC3Xt+CnnT+hb/W+2NRnE14p/wqmvTINs7rMwtbrW/HNlm9UHSdZm4x+K/thx80dmNllZhYHS0fp3KXxUd2PMPvU7GynJQqCkD18fYHkZBckJruri2TFe0kkSxAEQbAJapsRG1I38ASQaMb5LgMolO5RzYx9BZVcfnIZn2/6HK1KtcK8bvPg7uqeYb2nmydGth6J86Hn8e/pf/UeY/mF5YhIiMCA2gP0ri8bVBZtS7fFPyf+Meio2Rsiws87f0apwFKY/sr0DCmO79R6B180+AJ/Hv0TO28aryU79/gcWv7bEovPL8aYNmPQr0Y/o9v/0OwHeLl5YeS+kVZ5HYIgWIbOYYpJ8FFXkyVOliAIgmAjjDpZiqIMUhRlELj58Ie6/1MegwH8BeCSGedLJqKH6R4immFlEjWJ6LOiD3K55cJ/Xf8zqCLYo1IPNCjSAD/v/BmxSRkHI0SEacemoVxQOTQv0dzguT6o8wHuRt7F5uubrfoaLOXA3QM4HHIYXzf6OkPkTseI1iNQLqgc+qzog83XNiNZm5xhfbI2GSP2jEDtv2vj0pNL+KfzP/i2ybcmz5vfJz/61eiHxecWIzzuxRDavBd5D49jHjvaDEHIgLc3P8fE+5iOZCXHISY+lzhZgiAIgk0w1Sfrs5RnBcD7ANKHLBIB3ALwoRnnK60oSkjKvocB/EBEN/RtqCjKQAADAaB48eJmnOLFZvie4Tj+4DhW9FyBIv5FDG6nKArGtR2H5nOa44/Df+D7pt+nrlt3ZR0O3juIqZ2mGpVo71yhM/J658WcU3PQqVwnq74OS5hwcAJy58qN/jX7613v7e6Nlb1Wov289ugwvwMCcwWiRoEayO2VGz7uPjh6/yiuhF1Bzyo9MaXjFOTzyaf63APrDMS0Y9Mw9/RcfNHwC4tfw9GQozj+4Dj23dmH6MRolAwsifJ5yqNS3kqoX6Q+fDwcOyIMjQlFr2W9UpUlSwWWQt/qfdGrSi9UyV/FobY5I5uvbcama5vQuFhjdK/UXXXrBHsTlxSH2admY+mFpSjiVwQDag9A8xLNc1yLBp3DFJvorTKS5SlOliAIgmATFCIyvZGi7ATQnYieWnwiRekIwA8c+coP4EcAFQFUIaIwY/vWrVuXjh07ZumpXxiOhhxFo5mN0Ld6X8zpOkfVPl0WdsHu27tx7bNryOeTD0maJFSbVg2KouDMh2eypBpm5stNX2LasWl48PUDvbVb9uJq2FVUmFIBPzT7AcNbDTe6rU7afcPVDbgUdgkR8RGIToxGicAS+LTep+hRuYdFNjSY0QBRCVE4//F5iwanc0/PRb9VnJqYxysPCvkVws2nNxGTFAOA67/WvrEWlfNVNuu4h+4dwv47+1EpXyW0Ld3W5GdqiKthV9FxfkeERIUguEUw3F3dsfXGVmy6tgkAUL9IfQxpNgSdy3eGoiggImhIg0RNIhI1iYhKiMK5x+fg4eqB2oVqI7dXbovsyCmsurQK3RZ3g6viCg1p0KNSD8zrPk+18Iq9uPH0Brov7o7Tj06jcr7KuB91H8/in6Fv9b74r+t/OcrRWrkS6N4dODGiFmr1+R9QoqfBbZMW5oHHm2H49Vfgp5/saKQgCIKQI1EU5TgR1VW7valIFgCAiFpablLqMTam/19RlEMAbgB4G8DE7B7/RSchOQFvr3obhfwKYVKHSar3G9NmDKr/VR2Dtw7GnK5zMGLvCFwOu4y1b6xVNRh/p+Y7+P3w75h/Zj4+a/CZ3m2iEqKw+/ZuHLp3CE2KNUHHch1V26eW3w79BndXd3xa/1OT23q5e6FbpW7oVqmbVW34oM4HeG/Ne9h3Zx+alWhm1r6H7x3G+2vfx0slX8I/nf9B8YDi8HD1ABEhJCoER0OO4qP1H6HhjIZY3Xs1WpZS95OccWIGPlz3ITTEQehi/sWwotcK1C2s+hoBgL9f3RZ3Q0RCBHa+vRMNizYEAAxqNAghkSFYcHYBZpycgVcXvYoq+apAURRcenIpS0qmjgDPAHzX5Dt80fALeLt7m2VLTuBxzGO8s/od1C1cF7v778Yfh//A/7b/D5rlGqzoucJpHJcNVzegz4o+UKBg7Rtr8XK5lxGXHIehu4Zi7IGxaFOqDd6u+bajzVRNaiQrwdukumBMjJJhH0EQBEGwJqqcLABQFKU8gNcAFAfgkX4dEb1r7omJKFpRlPMAypm7r5CVcQfG4eKTi9jw5gYE5gpUvV+lfJUwuPFgjNo3Cs/in2HtlbXoV6MfXin/iqr9axSsgYZFG2L8wfEYWGcgPN08U9cREcYfGI+R+0biWfyz1OWdy3fGsJbDUKNgDdV2GuNJ7BPMOTUHb1V/CwV9C1rlmJbQq0ovfLX5K0w/Md0sJysyIRK9l/dGYb/CWPb6MuTxzpO6TlEUFPUviqL+RVG3cF10mN8BPZb0wIVPLph8rWsvr8WAtQPQvkx7zOk6B4fvHcYXm75Al4VdcPGTiwjIFaDaxhF7R+B86Hmse2NdqoOlo4h/EQxuMhhfNvwSM07MwKrLq+Du4o5OZTvB39Mf7q7u8HD1QC63XKiSrwrik+Mx+chk/LDjB4zcNxJfNPgC3zX5Dn6efqrtcXb+OPwHIuIj8F/X/+Dt7o3vm34PV8UV3277Fuuvrlf9+7K1jV9u+hI1CtbA8p7LUTp3aQCcVjuy9Ujsu7sPg7cOxqsVXzXrmuJIVAtfaJMQE++ZYZ+cRFxSHMLiwlDYrzBcFLX6VYIgCIJdISKTDwAvA4gHcBBcT7UfwEMATwGsUXMMPcfMBeABgJ9NbVunTh0SDHM17Cp5DvOknkt7WrR/YnIifbbhM0IwqOKUihQRH2HW/puvbSYEg8bvH5+6TKvV0v+2/Y8QDOowrwNtv7GdIuIjaNTeURQ4OpAQDHpn1TsUlxRnkc3p+XXXr4Rg0PnH57N9rOzy8bqPyXOYJz2JeaJ6n3dXvUsuQ11o/539Jre9FHqJPIZ50JvL3zS63ePox5R/XH6qPq06xSfFpy4/GnKUlGCFPtvwmWr7zjw8Q26/utFbK95SvY8a9t3eRz2X9kz93j2MemjV4zuK2MRYChwdSN0Xd8+wPDE5kcr9UY4qTqlISZokB1nHv80Re0aQEqxQ10VdKSYxRu92x+8fJyVYoUGbBtnZQss5cYIIIFrxZVeiC+MNb5gYQZfHlyOAaO5c+9lnDY6FHKOC4wsSgkE+I3yo6aym1GtpL1pxYQVptVpHmycIgvDcAuAYmePrqNoIOA7gfyl/RwEoneIkLQUwSOUxxgNoAaAUgAYA1gGIBFDC1L7iZBlGq9VSu7ntyH+UP4VEhmTrWI+iH1FicqJFNryy4BVyHepKY/eNJa1WSz9u/5EQDHp/9ftZbvzhseH07ZZvCcGg15a8RhqtxmKb45LiKP+4/NRpfieLj2FNTj88TQgGTTwwUdX2Zx+dJQSDBm8ZrPocOufVmFP52pLXyGOYB51+eDrLuo/XfUwuQ13o1INTqs73+pLXKXB0oFmOozlsvb6VvEd4U5U/q9Dj6Mc2OYc9WXFhBSEYtPX61izrVl5cSQgGTT0y1QGWEZ18cJJeWfAKIRj0xrI3KDYx1uj2769+n9x+daNLoZfsZGH2uHyZ72rzPn6T6MyvhjeMfUgnRtRkh2yF/ezLLnee3aHA0YFU4rcS9NvB3+jT9Z9Sk5lNqND4QoRgUJeFXehR9CNHmykIgvBcYisnKxpA6ZS/wwFUTfm7GoA7Ko+xCMD9lEhYCIDlACqr2VecLMMsPLuQEAyafHiyQ+2IjI+k15e8TggGFRhXINXBMuZATTgwgRAM+nzD5xaf95/j/xCCQTtu7LD4GNam4YyGVGFyBVWzyr2W9iLfkb4UFhum+vihMaHkPcKb+izvo3f9/jv7CcGgYbuH6V0fHhtOgaMDVTmmt57eIpehLvTtlm9V22cJO27soFzDc1GHeR1y/Gz8m8vfpDxj8uiNVmm1WmoyswkV/604JWuSs32uR9GPaMy+MTRizwhad3md3t9bbGIsjd8/nhrPbJwa/Zh4YKKq9/lR9CPyH+VPHed1zLat9uDePb6r/f3+R0Qnvze8YdQN2vtzEwKItmyxn33ZQavVUucFncl7hDddC7uWYV2yJpkmHJhAnsM8KdfwXFR9WnV6ef7LtPT8UodGTQVBEJ4nzHWy1CZzR6VErpCS4lc25W83AKokwoioNxEVJiIPIipCRD2I6ILK8zsdN5/eRPCuYEw9OjVLnyl7cT38Oj5c9yHqF6mPj+p+5BAbdPh5+mHxa4vx9yt/o2Wplhjfdjz+7vy30XqBQY0G4csGX+KPI3/g72N/m31OLWkx4eAE1C5UGy+VfCkb1luXD+p8gMthl7H3zl6j210MvYgl55fgs/qfmaXMmNc7Lz6t9ynmn52PY/czqm4SEYbuHoq83nnxVcOv9O6f2ys3vmvyHTZc3YB9d/YZPdfkI5OhQFElKJIdWpZqibFtxmLTtU1YfH6xTc9lS+KT47H28lp0q9gNbi5ZS14VRcHXjb7GnYg7WHdlXbbOte3GNlT+szK+2/YdhuwYglcWvoIyf5TB15u/xsarG3El7AomHJiAcpPL4Zut3yAiPgJj2ozB3a/u4qtGX6kS38jvkx+/tPgFG69txPYb27Nlrz3Q9cmKTQow3icrOZbrtpBzarKWX1yOtVfW4teXfkWZoDIZ1rm6uGJQo0E4+cFJDKw9ECUCSuDMozN4fenraDyzsVP0tDv98DQ+3/g5+q3shzOPzjjaHEEQBNujxhMDsArAwJS/xwK4DuAXAKcAbDHHq7Pk4UyRrGRNMo3fP55yDc9FSrBCCAaVn1yerjy5Ylc7ohKiqMa0GpR7dG66EX7Drue2JsmaZOowrwO5/epGe2/vNWvftZfXEoJBC84ssJF1lhGTGEMBowJM1k31Wd6HfEb4UGhMqNnniIiPoPzj8lPjmY0zRCSWnV9GCAZNODDBpI0FxxekdnPbGdwmMj6S/Ef50xvL3jDbPkvQaDVUdWpVqvJnlWylkDqS1ZdWE4JBm69tNrhNkiaJiv9WnJrMbGJx1C4kMoT8R/lTlT+r0LlH5ygmMYbmnp5Lbf9rS26/uhGCkfpoNKMR7bq5y9KXRPFJ8VRgXAGnSck1RkICR7KGvzmK6ND7hjd8cpSWf9mNAKJT6rJmHUpCcgIVmVCEav9dW3VkKlmTTPPPzCev4V5U9o+yDrtPaLVamnhgIrn/6k7eI7zJZ4QP+YzwoXWX1znEHsH5SUxOpCHbh1Dd6XWpzO9l6Jedv9DtZ7cdbZYg2CySNQjAoZS/gwFsAdADwDVwk+IXhtOPTmPw1sFoV6Yd7nx1B1v6bsGT2Cd4e9Xb0JLWLjYka5PRe1lvnH18Fgt6LECp3KXscl5b4OriioU9FqJUYCn0XNoT4XHhqvYjIozdPxbF/Ivhtcqv2dhK8/B298Zb1d/CsgvL8CT2id5troVfw8JzC/FxvY+R1zuv2efw9/THqNajcODuAUw5MgUAcPnJZQxcNxC1CtbC5w0+N2njp/U+xZbrW3D+8Xm928w6OQuRCZEGI2LWxkVxwfdNvmcVw2xGeRzFthvb4O3ubTSy6ubihu+bfI/9d/dj241tFp3n6y1fIyE5Aat6r0KV/FXg7e6NvtX7YstbW/Dsu2fY+tZWTOk4BVc+vYL97+5Hi5ItLHxFgKebJz6q+xE2XN2AK2FXLD6OPXB3B1xdgZjEAOMS7ppYxMTnnEjWsgvLEBIVguEth+uNkOrD1cUVb1Z7E9v6bUNYbBgazWyEQ/cOmd7RygzbMwyDtgzCy+Vfxt2v7uLKZ1dQIW8FdF/S3em/TwITER+BBWcXYPCWwRi5dyT+Of4P/jzyJ/47/R+exlncPtUgP+/8GSP2joCvhy9K5S6FobuHosKUCph+fLpu4l8QcgbmeGSOejhTJIuIVbfSz0D/e+pfQjDo31P/2vzcWq2WPl73MSEYNO3oNJufz14cv3+cPIZ5UOOZjU0W4xMRLT63mBAMmnJ4ih2sMx+doEV6xcX0DFwzkDyHedKDqAcWn0Or1VKn+Z3Ic5gnTTo4iUr/Xpryjc1H18Ovq9r/ScwT8hruRe+seifLumRNMpWaVIqazGxisX2WkKRJopKTSlLDGQ1zZG1W9WnVqc1/bUxuF58UT8UmFqMG/zQw+3Vuvb6VEAwaumuopWaazcOoh+QxzIM+Wf+J3c5pKf7+RF+8OpdodzfDG4VsomnvfEAA0f379rPNErRaLdWbXo/KTy5vcYT3wuMLVHJSSXIZ6kJDtg+xSODIEuacnEMIBvVf1T+D7Q+iHpD/KH/qMK+DXewQLEOr1dLsk7NT66zdf3XPECVHMCjX8Fw0bPcwq9SYEhFtu76NEAwauGZg6rIb4Teo7X9tCcGgrou6WpT98SITGhNKY/aNoc83fG6wdldQB2whfOHoh7M5WZnRarVU669aVO6PcqpSOeKS4mjztc108sFJsy9MOrEIc9TocgpLzy8lBIM+Xvex0e2exT2jQuMLUe2/a1vtwm4LGs9sTOUnl89i44OoB+Q5zJM+WPtBts/xKPoRlfitBCEYFDQmiA7ePWjW/p+u/5TcfnWjO8/uZFi+/MJyQjBo+YXl2bbRXP488ichGNlKcXMEYbFhpAQrBgVHMjPzxExCMOivo3+pPkd8UjyVn1yeyvxexirtD8yh38p+5DvS1+wWD/amUCGi9zusItrR3vBGd1bQuDe/JoAowrlfDh24c8AqE0rP4p5R/1X9CcGgutPrmlSM1Gq1dDXsKl0Nu2rRhMeDqAcUMCqAms9urve+OGbfGEIw6MT9E2YfW7A918KuUY/FPQjBoAb/NKBdN3eRRquh2MRYuvPsDoVEhtDhe4dTBa86ze9Ez+KeZeucyZpkqja1GpX5vUyWyVaNVkPj948nj2EeVGpSKbr59KbF50lMTqSNVzfSjhs7nnthmAdRD6jilIqpDjGCQWX/KEvnHp1ztGk5Eqs5WWCxi0g1D3NOaMnD2Z0sojTZ5kVnFxndLjw2nGr9VSt1FqjBPw2yDHANsejsIlKClWzLnjsz32z+xuT7OHDNQFKCFToactSOlpnPknNL9NZHfb7hc3IZ6kJXw65a5TzxSfF0KfQSRSVEmb3vrae3yO1XN/pi4xcZljed1ZRKTSrlECc2NjGWCowrQO3nGhkkZyIxOZHOPTpHB+4ccJjjvebSGkIwaM+tPaq212q11Prf1uQ13IsO3zusap/hu4cTgkEbr27MjqkWceTeEadQMjVFmTJEb7TcRrSlmeGNbs6n4O4/E0CU7LzzNETECqQBowIs+n3rY/mF5RQ0Joi8hnvR74d+Tx0Yh8eG04n7J2jBmQX07qp3qfhvxVPvU0FjguiLjV+YNYjuvaw3eQzzoMtPLutd/zTuKfmM8KG3V75tjZclGCEiPoI+XPsh+Y30o97Lehv8TIj4ujTt6DTyHuFNXsO9aPju4SavqX8d/YvcfnWjCpMrZKv2T5cVtPjcYoPbHLp7iAJHB1Lg6EBafWm12ecIjQmlOn/XSf1ut/2vLUXGR1psszOTmJxITWY2Ie8R3rT71m5KTE6kRWcXUf5x+anq1KrPvYNpC6zpZL2t9mHOCS155AQnS6PVUJnfy1DjmY0NbhObGEv1/6lPHsM8aMbxGTTt6DTyG+lHhcYXorsRd40ef+7pueQy1IWazGyiKp0up5KYnEj1/6lPBccX1DuoWH9lfY6J5Gm1WuqysAt5DvOki6EXiYg/RwSDPlr3kYOtS6P/qv7kOcwzVbxF5xz+cegPh9k0Ys8IQjD09vnSodVqaf6Z+dR0VtMMaSyt/22drTRMSwneGUxKsELRCdGq93kY9ZBKTSpF+cbmMyn8ci3sGuUanoteW/Jadk21mPr/1FfdnsBRVK9O9GqTA0Qbjdw3rv5Dg18eQ56ezvs6iLgvlutQV/p689dWPW5IZEhq+hWCQS5DXTKkgOUenZt6LO5BU49MpenHptMby94gl6EuVOfvOqp62W28ulFVSuvANQPJZ4SP3aOyMYkxNOHABGr7X1vqOK8j/X3sb7ueXw3xSfEWZbtkRjeZ4zLUhVrOaUn+o/wpcHSg3smguKQ46r64e6rzYWpckp7dt3ZT7tG5qfKflSk+Kd4iO8v+UZbq/F3H5CTy1bCrVHd6XXIZ6kJfbfpK9QREWGwY1fyrJnkO86S5p+fSlMNTyHWoK9X8qyY9jXtqts3Oji7zaf6Z+RmW6zJV/jzyp4Msy7lIuqADmXRwEiEYeiMsWq2WPlr3ESEYtOJCWvfL0w9Pk99IP6r5V02Dsyl7bu0hr+Fe1GJ2C4pJjLGZ/c6CLj2m74q+GW4wCckJVOXPKlTuj3J2qynILg+iHlDQmCCq/099Wnp+KbkOdaWWc1rafVBhjPuR98l/lD9Vm1qNftz+I/mP8qd60+s5dJYrPDacfEb4UN8VffWuT9Ik0bur3iUEgypOqUjfbvmW5p6eS5MOTiKv4V6Uf1x+2nlzp11t7rqoK1WcUtHs/S4/uUwlJ5UkBIPK/F6G2v7Xlj5a9xEtObck9feekJxAjWc2poBRAWYNfKzNf6f+IwSDtlxz3uZSDRsStal7mmhtJcMbXfqDPmk7mYKCnDsj4Put35PLUJdspUYZQqvV0p5be2j03tE0ZPsQGrd/HC2/sJyO3z+ud2C/7vI68hzmSaUmlaJ7EfcMHjcmMYZKTSpFFSZXMDnY3nxtMyEYtObSmmy/HrWEx4ZT7b9rE4JB1adVp/KTyxOCQXNPz7XK8ROSE2jXzV104v4Ji6KPWq2WZp6YSXnH5iUEg0pNKpWt1GndgFoXgb759CZVmFyBPId50tLzS1O3i4iPoJfmvERKsEITDkywaCJlw5UNhGBQ8M5gs/fdd3sfIRg05+QcVdtHxEfQB2s/IASDiv9WnE49OGV0e11Ux2OYR4ZMgPVX1pMSrND3W4301cuBPI5+TAGjAvT2ONRqtdR0VlMq/ltxiWaZic2cLHCfrNcAfAcgMGVZGQBB5pzQkkdOcbIi4iPIb6Sf3iax32/9nhAMGrRpUJZ1m65uIpehLtRneZ8sF7a7EXcpYFQAVZxSkR5GPbSZ7c7GsN3DCMGgbzZ/Q/FJ8RQRH0G9l/UmBMOiFAFHomsYjWBQnb/rOGVNy5pLa6jIhCKEYFDjmY2dQi73q01fkduvbllunnFJcfTqwlcJwaCfd/ycZdbz3KNzVHFKRXId6qq66a41KPFbCeq9rLdF+0YnRNOP23+kLgu7UJnfy5DnME9CMKjkpJL09eavqd70enpnJO1NfFI85Rubjzov6OxQO4zRujVR42pXiFaVNLzR+dH0TouZVLSo8zpZMYkxFDQmiLotMiLgYWcO3T1EfiP9qNKUSgbFBz7b8JnqmsqE5AQKHB1I/Vf1t7aperkfeZ9q/VWLPIZ5pE52JmuSqe70ulRqUqlsTd5ptVr688ifFDQmKPV67zXci37c/qPq6LZWq02tm2s2qxn9dfQvKj+5PPmP8jfq2BoiSZNEpSaVompTq2UYTD+JeUKNZzYmJVih3st608QDE6nKn1XIdahrtq8xby5/k9x/dafzj8+btd+ANQPIe4S32Y7pvtv7qOjEopR/XP4sTbrT8+2Wbw22fOmzvA95DfdySAaEOZx9dFZ1mcSHaz8k16GudOHxBb3rde1GjKVmClmxiZMFbj58C8ATAMkASqcsHw9ghjkntOSRU5wsorSBoS49jIho7+29pAQr9N7q9wwO+H7d9SshGPTd1u9SB40JyQnU5r825D3C2+jF43nl7ZVvE4JBRSYUoTxj8hCCQSP2jHC0WRax/MJymnJ4ilNHIrVaLYXHhjtNKlhoTCgVHF+QKkyukBq9uf3sdqrDYSydMSI+IjXtpdfSXkZv3A+iHmT7cwmPDScEg0bvHZ2t4+iITYylNZfWpKYX5x6d22luhj9u/5GUYMVpr0lduhDVKHeHaHl+wxud/oV6NlhEFSo4x3ddH9OOTiMEg3bf2u1oUzKw6+YuyjU8F1WfVp123NiRer2ITYyl77Z+RwgGfbnxS9XHe2vFWxQ0Jshq2QlarZaOhRyj6cem0++Hfqfr4dcpPimeFp1dRAGjAshzmGeWmkZdz0VLHYzohOjUiZ/W/7amFRdW0NLzS6nroq6EYFDVqVVVRaD/PvY3IRg0ZPuQ1HGALk2459KeZtulixQuO78syzrd5+U70pcQDKowuQKtv7Le7HNk5nH0YwoaE2RWTW1sYiwFjAqgt1a8ZdE5L4ZepKAxQVRhcgW6H5lVLnTd5XWEYNCHaz/Uu/+VJ1dICVZoyPYhFp3fHvyw7YdU5/3rzV8bvU+ffniaXIa60OcbPje4jUaroXJ/lKP6/9R3mnt+TsBWTtY6ANMBuKYIYuicrOYArptzQkseOcnJehj1kAJHB1KL2S1Iq9VSQnICVZpSiUr8VsLoQE+j1aSGvlvMbkEH7x5MVfaZeWKmHV+B86DRamjlxZXUYnYL6jS/k9MLXQjWZ9fNXeQ70pcCRwfS2yvfJt+RvuQ30i9Dyq0htFotjd47mlyGulDVqVWzFGQP3z2cco/OTQgGBY4OpLH7xlps586bOwnBoE1XN1l8DEMkaZKcKqUjJDKE3H51o682feWQ85saEPTuTVS22GOixb6GNzoxmF6pvY5q1bKycVYiKiGKCk8obJHEvz3YeHUj5R+XnxAMqje9Hn216SvKNzYfIRj03ur3zKojWnlxJSEYtO36tmzbdS3sGrX+t3UWmXFdg+7af9fOMAGqQ6PVULGJxejl+S+bfU6tVks9l/Ykl6EuNPHAxCyR9c3XNpPfSD8q8VsJo2mfl0IvkddwL2r7X9ssx9BNwhprcq6Pt1e+TQGjAoymp0fGR9KN8BtW/Z6N2z/OLBGgRWcXZfs7sPf2XvIZ4UMlfiuR4X269fQWBY0JohrTahh9HzrO60jFJhZzSlExnajS2yvfpoFrBhKCQeP2j9O7ra4GL2hMEIXFhhk97tQjUwnBoH2399nC7OcSWzlZ4QDKp/yd3skqCSDOnBNa8shJThYR0fRj01OlmX/a8RMhGKq622u1Wpp1Yhb5jfRLvTlkVqYThBeNC48vUNdFXVOVNc2NoGy5toVyj85NecbkoRnHZ9D3W7+nCpMrEIJB7ea2ox+2/UDt5rYjBIP239lvkY0TD0wkBOOFSel9Y9kb5D/K366qXPtu76Oms5qm9usyNJB/7z2iwvkiiBa4EBkaOB75hFpV3U1N7NsGTjU/bv+REAw6cOeAo00xSGxiLP119C+q8meVVAlvtYPq9MQkxpD3CG+TrTtMceXJFSowrgD5j/KnSQcn0fXw63T+8Xn67eBv9On6T2nVxVVGo2WDtwwmt1/d6EnME7POq3MoxuwbY3CboyFHKWBUANWdXlevQmNYbBhVn1adgsYEUUhkSJb1utYNFSZXUO3AxibGkt9IP3p31bvqX4yViEmMoYLjC1Lz2c1VOW+d5neiohOLZlvk42jI0dQauw/WfkC7b+2mYhOLkf8o/1RhJ0PMPzPfKVuH6FoElf2jLCVpkkir1VL3xd3J7Vc3OnLvSJbtV11cpVoFNjohmoLGBFH3xd1tYfpziS2drCqU1clqDuChOSe05JHTnCyNVkPNZzdPdZTeWPaGWfvfi7hHi88tlv4hgpCO7NyArzy5kjoYdB3qSq3/bU3Tjk5LHXRFJ0RTofGFLI4c9FvZjwqNL2SxfTmNw/cOE4JBn234zC7n23BlA3kO86TivxVPjfAb6i/2+edEAX5xRPNBlGxAeOHgu9Sg3HFq186GRuvhypMr1HdFX6rzdx3qvri73rqmG+E3yHOYp97aXmclu0I+3Rd3p8ITClscRdBoNVTn7zqUd2xegzUopjh+/zghGDT92HTV+1x4fIFch7pSj8U9TF43Vl9aTW6/ulHjmY0zOHtRCVFUd3pd8hjmYTQSrhOwmHd6nirbdH0nrREhtIQph6eoir49iHpArkNd6X/b/meV88YlxdHgLYNJCVYIwaBC4wvRyQcnTe4XnRBNPiN86P3V71vFDmuhS2WdfXJ26rLw2HAqNrEYlfm9TAZVxPikeCrzexmq/Gdl1dkPP2z7wanTv50NWzlZiwDMpDQnqxQAfwA7dctt+chpThYR9wCZfHgyzTg+gxKSExxtjiC88CRpkuhYyDGDKRSzTsyyWFil+rTqelWcnme+3PglIRi08uLKDMs1Wg3tuLGDRu4ZSX1X9KUh24eokv02xOmHp8l3pC/V+qsWPYl5QlqtlprNakb5xubTm4L9/fdE7u7J7GQlhOs/6L7eVK3ERera1WKzzGbv7b3kO9KX/Ef5U/u57clzmCeV+b1MhvQ1nQKa30g/h6pI2pt5p+cRgmF2M3UdOsn4f0/9a7ENWq2Wyk8uT63+baV6ny4Lu5D/KH/V3+8FZxYQgkENZzSka2HXKDE5kTrM60AuQ11MXnc0Wg1Vm1pNdTSr++LuVHB8QYf1DYxPiqcSv5WgetPrGXVAdTLj+tI4s8ORe0do6pGpZolZvLXiLZPplfam9b+tqcRvJbJEYffd3kf/b+/O43Ss9z+Ov74zzDDLPRjGzmjGdpIkkhZFHSlHRBEVTkloUerXgkopSnUOJU7RaaVz6pBDihZE27GEIiKh7Psy+/b9/XEv5p65Z+Ye7ntuxvv5eFwPc1/f73Vdn+vrNu7P/V2uCk9XsJ3f7exJqNzPUSzNsPWdx3baik9XLLMvzM50wUqy6gK/uLZsYLmrd2sDUKM0FzyZ7UxMskTkzJKdm23rvlTX/mXmX0p1XEZ2hq3wdAU78ouRQYrs9JSRnWHbvN7GVni6gr3/0/vtql2r7LbD2+wN/7rB04tf56U6NvypcFvvb/VOak7lrmO7bP2/1bd1XqrjtbraV9u+sozB/vOHfxY6ZuxY5/9sWW9XsDa1iBXZvupuk2pvt7eUUWfRrmO7bK0Xa9nGLzf2PHz+29+/tQkvJNi48XF2+qrpdvHWxZ7FE3ytgFaeHU4/bCs+XfGkn3/YdUZXW+vFWqf8heYTi56wZozxuXhCQe734Lil40p1DfcCHBWeruBZpn3aqml+HevunSrp/XE4/bCNHBtZqgVIguGNH96wjMHO+2VekXVaTm1pL5p2URlGVbTiFgoJhSPpR2yFpyvYhz972Gf59FXTPY+7mbtxro0cG2lv+uCmUl9nwEcDbPSz0fZQWhFfSolHaZOsMPxgrd0JtAKeB14DVgIPA62ttfv9OYeIyOmsQlgFejbvyZe/fUlGTobfx63fv56cvBxa1WoVvOBOQ5EVIvn0lk/p26IvE/83kQtfv5DESYnM2TiH569+nkMPH2LniJ0sv3M54Sac62Zcxx9H//D7/OnZ6XT/V3cOph9kXt951HXU9ZRd3uByGsY1ZO6muYWOi4py/pmaGQ256b5PnpNGakaUp24wZedm0+c/fTiWeYzZfWZTP64+AO3rt2f5oOU0qtqIQfMG0fHtjszbNI9JXSbR97y+wQ/sNFKlUhWuOucqZm+Y7f5i12+H0g/x6a+fcnur24kIjzilOG5ucTMWy4c/f1hi3ZFfjqSeox73X3x/qa7Rp0Uffhz6I/93yf/Rvl57pnebzqDWg/w6tmfznpxb41zGfz2+2Hb6aMNHZOZm0u+8fqWKLdD6n9+fBnENePHbF32Wr92zlh/3/kj/lv3LODLfOjXqRK2YWrz303uhDgWAz3/7nJy8HP7S5C8+y+9ofQfPdHyG9358j+v/dT11HXV5+dqXS32dBy5+gNTsVKb9MO1UQz4l6/et58GFD3L/gvv597p/k2fzQhpPQJSUhQEVgT245mSFYlNPloiUhfmb5pf6Ybvub2tLmlhdnu05vse+tfot+/L3L/tsh437N9rYcbG27ett/RqKk5uXa2/64CZrxhg7Z8Mcn3UGzhlo45+PLzSP5x//cPZk7Zxc29pDa31f4LPLrCPquB0+vMRQ7No9a+3CXxee1HOKrLX2wYUPFjuXJisny/5vx//sl799WWgFzLPJq8tftYyh1HND/r3u3wFdJOT8qefbi6dfXGydjfs3WsZgX/zmxYBcszTeXP1miXOdrn7naps0Kem0WJnSvSiQr0UahswbYiPGRpR6sZFgemDBA7bi0xVLXJmvLAycM9BWfa5qifOrFv660M74cYbfz2Pz5aq3r7J1X6obsEcplMbKnSs9IyAixkZ4Hitw/tTzT7vfiQS6J8tam41ziGDpvl4SETnDXNHwCiLDI1nw6wK/j1mzZw0xETEkVUsKYmSnt5oxNRnQagD3truXxvGNC5U3rd6Ud294lxW7VnDPJ/eU2FvxxOIn+PDnD5nw5wl0b9bdZ50rGl7BwfSD/Lz/Z6/90dHOP509WWm+L5CTRlpmJU9dXzJyMuj9YW/O/8f5XPPeNdT7ez26zuzK7A2zmb1hNh+s/4AFvy5g2fZl/G/H/0jNSi10jqe/epqXvnuJoW2GckvLW3xep2J4RS6qexGdGnWiUdVGRQdUznVq1AmARVsXleq4hb8upEqlKrSt2zYgcfRt0Zfvd3zP1sNbi6wzdeVUKoRVCElPUd8WfakVU4uXvnvJZ/n+1P0s2rqIPuf2wRhTxtEVNqj1IOIi4xi7dKzX/r0pe3lzzZsMOH8A8VHxIYqusFtb3kp2XjYfri+5NzOY8mwen2z+hC7JXagQVqHYup2TOtPvvH5ERxTzC60EI9qPYOfxnXyw/oOTPkdRrLV8+8e3/Ofn//DN79+wds9aDqcf5uvfv+baGdfSZlobFm1dxOjLR7NzxE6OPnqU93u9T0J0gtcIhjNR8X9zJ7wCPGaM+au1NieYAYmIhEp0RDQdGnZgwZYFvITvDzEFrd6zmvNrnk+Y8Wv09Vmre7PujL58NM8se4bWtVszrO0wn/XeWfsOzy57ljsuuIMH2z9Y5PmuaHgFAEu3L6VFQgvPfs9wwYxoyPGdZGVl5JCTW6HY4YKPfvEoH/78IU9d+RRXJl7J4q2LmbxiMp9s/sRn/TqxdRjWZhht67YlITqBRVsXMWbJGG5teetJDeE52zSNb0rtmNos3raYOy+8069jrLUs3LKQq8+5usQPov7q06IPj375KB+s/4BHLnukUPmxzGP8c/U/6X1ub2rH1g7INUsjskIk9110HyMXjWTNnjWFhil/tPEj8mwevc/tXeax+RIbGctjlz3Go18+ytxf5nJ90+sBePiLh8nJy+GhSx4KcYTeLqh1Ac2rN+e9n97jrjZ3hSyOlbtWsi91H10bdy2T63VJ7kKLhBY8ueRJev2pF5UqVArIeX87/Bt3zruzyC9PakTVYFyncQxrO4y4SnGe/Te3uJmbW9wckBhCyd/fSpcDVwA7jTHrAK+v7Ky11wc6MBGRUOiS3IUHP3uQP47+4Zk/U5Q8m8faPWvpf/7pMafgdDfmyjGs2buG+z69jybxTbj6nKu9ypdtX8aguYPomNiRKV2nFPtNfGKVROIrx7N2z1qv/e7eqbSsqCJ7stLSnD1pRSVZ249s59UVr3LXhXfxxBVPANChYQf+79L/Y+WulURXjCYrN4s8m0d6TjpHM47y/DfPM3rxaK/zdGrUidf+8lrAEoDyzBhDp0ad+OK3L7DW+tUL8/P+n9l5fCfXJF0TsDgSqyTSpk4b5vwyx2eS9daatziedZzh7YYH7JqlNbTtUMZ/PZ7nvn6Of934L6+yd398lybxTWhZs2WIoitsRPsRvPvju9z9yd0kV0tmxc4VvLP2HZ7o8ARN4puEOjwvxhhubXkroxaNYuvhrSHrXZ6/aT5hJowuyV3K5HphJoy/df4bnd/rzN+++xsjLx95yuf8/ejvdHy7I8cyjzGpyySuTLySXw/9SnZuNr8e+pX4qHj6n9+fqIplMDk2RPz9zX8AmBXMQERETgfXJF3DgzzIgl8XlPiN+tbDWzmedfysW/TiZIWHhTOz50wu+ecl3PThTXxx2xe0rt0aYwzf/P4NN/z7BhpVbcSs3rNKXMTAGEPzGs3ZcGCD136vhS+K6MlyJ1lFDRd86buXMBhGXT7K+9wVo+jQsIPPY3r9qRcH0w6yZs8aDmccpmFcQ9rUaXNaDNk6U3RM7MiMn2aw4cAG/lTjTyXWX7hlIeAcLhVI3Zp0Y8ySMexL3UdCdIJnf57N4+X/vUz7eu25qO5FAb1maVSpVIVhbYcx4ZsJjLp8FOfVPA+A73d8z9e/f80Lf37htHrfVQyvyNs93ua6mdfRYkoLLJarGl3F6A6jSz44BPqd149Ri0Yx46cZIYtx/ub5tK/XvkyHUv456c/c0OwGnln6DN2adPO8r07Ghv0b6Ph2RzJyMlg0YBGta7cGOK2S/7JQ4vgWY0wFYAUwylr7V19b8MMUESkbf6rxJ+rE1mHRtpLnhqzesxpASVYpxEbGMq/vPCqGVaTNtDa0fr01F0+/mMvevIyYiBg+7vsxVStX9etczasXTrI8PVmZUUWuLpia6vwA6qsnK8/m8cH6D+jRrEeJPZkFxUfFc9U5V3Hjn26kbd22p9UH3TNBaedlLdyykGbVm9EgrkFA4+jWpBsWy7xf5nntn79pPlsObwlpL5bbw5c+TFylOO799F4ycjKw1vLQZw9RK6YWQ9oMCXV4hVxY50LW3LWGp658irEdxzK7z2wqhlcMdVg+JVZJpFOjTkxZMaVUK80Gyo5jO1i1e1WRqwoG05SuU6hSqQq9PujFkYwjJ3WO9Ox0ev+nN3k2j2/v+NaTYJ2N/Fn4Igd4AecqgyIi5ZoxhisaXsHS7UtLXKBhzZ41hJtwrzlBUrLEKomsHbKWsR2dk+Erhldk/FXjWTdsnc+FM4rSvHpzDqQd4EDaAc++Ehe+sJa09KKTrDV71rA3dW9IPuCc7RpVbURilUQWb1tcYt307HSWbl8a0KGCbq1qtaJJfBP+ueafXvsn/W8SdWPr0rN5z4Bfs7SqVa7GpC6TWLp9KVe9cxVDPh7CN398w1NXPkVMREyow/OpdmxtHr/icUZ3GI0j0hHqcIr16KWPsjtlN7N+LvtBXHM2zgGgR7MeZX7tWjG1+PeN/2brka10ersT+1L3lfocj335GOv2rePdG971q0e6PPN3pvb3wIXBDERE5HTRoWEHdh3fxW+Hfyu23po9a2heo3nAJgmfTWrH1mZ0h9Gsvms1y/66jEcve7TUHw6b12gOOIemuJU4XDA33TlfC9/DBZdsWwLAVY2uKlUsEhgdEzuyeOviEp+Rs3T7UjJyMoKSZBljGNx6MN/+8S3r9q0DYN2+dXy59Uvuueie06YHpv/5/XnnhndYuWsl/1zzT/q26MvtF9we6rDKhavOuYqkqkmlenaUtZaDaQdL/ay3gj7a+BHNqjejWfVmp3Sek3V5w8v5783/ZeOBjXR7vxvp2UU8b9CH3w7/5pnPek1y4P9tnmn8TbKmAS8aY+43xlxujGmdfwtmgCIiZc097+ar7V8VW2/1ntUaKhhC7g8hGw9s9OzzWvjCV5KVk+pMwPDdk/XV9q9Iqpp0xi8dfKbq1KgThzMOs2bPmmLrLdyykMjwSK5IvCIocQxoNYCI8AimrphKdm42d39yN1EVo7iztX8rH5aVW1veyo4HdrD3ob3M7DVTi6wESJgJY/CFg/lq+1f8b8f/iqyXZ/N4a81b9P+oPwkvJlD9heo0mNiA+z69j9W7V5c64TqYdpCvtn3FDc1uONVbOCXXNb6Ot3q8xfKdy+k6sys5ef4tLP7UV09RIayCZ8Ggs52/SdZMIBH4G/AVsDLftiIokYmIhEjz6s2pHlWdpduXFlln1/Fd7Dq+i9a19D1TqNRz1CPMhPH70d89+zw9WVkO38MFc1Kd87UonGTl2TyWbV/GlYlXBiliKYm7B/GzLZ8VW++TzZ/QoWGHoK1MVj2qOrecdwtTVk4h4pkIlm5fyut/ef20eqaTW43oGlSrXC3UYZQ7w9oOo2Z0TR787EGfPau7ju/iz+/+mb/+96/M/GkmXZK78NxVz9G2TlteW/UarV9vTd2/1aX1a63p9HYnpv8wncyczGKv+fGmj8m1uSFPsgB6n9ubN65/g8XbFvPq8ldLrL/p4Cbe+/E9hrUZRp3YOmUQ4enP3ySrUTHbOcEJTUQkNIwxXN7g8mKTrBU7nd8vtavXrqzCkgIqhFWgTmwd/jj2h2dfZCSEhUFatqPInqyihgtuObSFwxmHuaT+JcEMW4pRO7Y2rWq14tNfPy2yzpZDW/jl4C9Bnzf36nWvMuiCQYBzjk5RD5SW8ikmIobxV43nmz++YeqKqV5lc3+ZS8upLfl+x/dM6zaNzNGZvHvDuzxy2SPM7jObXSN2Mb3bdC5veDnxUfFsObyFO+fdyXlTz2P8svHk5uX6vObsjbOpG1uXNnXalMUtluivrf7KtcnXMnLRSM/Q2aKMWzaOyPBIHr704TKK7vTnV5Jlrd1e3BbsIEVEytoVDa9g65Gt/HH0D5/ly3cuJ9yEc0GtC8o4MsmvvqO+V5JljDN5Ss2KK7Inq6jhgu5hh2f7ZO1Q65LUhW//+JajGUd9ls/fPB8g6A9qrVyxMtOun8aeB/cw/urxQb2WnJ4GthpI56TOPPT5Q6zctZK07DTunn833f/VnQZxDVg1eBWDWg8iPCzc67j4qHjuaH0H/77x33x+2+dsHb6V/978X2rG1GTkopH0+qAXKVkpXsfsOr6LTzZ/Qp9z+5w2K5MaY3jj+jeoXKEyIxaOKLLeH0f/YMZPM7iz9Z3UjKlZhhGe3vztycIY09IY844xZqUxZoUx5m1jzMkvoi8ichpzz8tyL4RQ0IpdK2hZsyWVK1Yuw6ikoPpx9QslwlFR7uGCPiZs554YLliwJ8udZDWNbxqUWMU/1za+lpy8nCKXcp+/eT5N45uSVC2pTOLRh8azlzGGd294l+pR1blo2kXU+1s9pqycwoPtH+S7O77ze3GKMBPG9U2vZ9lflzGpyyTm/jKXYfOHeQ1DfG3la+Tk5TC07dBg3c5JqR1bm8cue4zPf/ucr7b5nqf8t+/+hrWWEe2LTsTORn4lWcaY64EfgPrAp8ACoAHwgzGmW/DCExEJjfNrnU+NqBos2LKgUFmezWPFrhUhfSCpOLl7svJPMI+OhrSsmBKHC/rqyaoZXdPv53RJcLSv157YiFifQwZTslJYsm2JltiXMpMQncB3d3zHmCvHcNU5V7F04FJe7PwikRUiT+p897W7jyeveJJ3f3yX2z66jazcLH4/+jsvffcS3Zt2J7lacoDv4NQNa+ucZzVq0ahCi3kcSj/EtB+m0fe8vjSs0jBEEZ6e/F2G5hngWWvtk/l3GmOedpXN83mUiMgZKsyE0SW5C/M3zyc3L9drOMivh37lSMYRJVmngfqO+mTkZHAw/SDVo6oD7uGCMcUOFzTGUqmS95CcXw7+ErJlk+WEiuEVufqcq1nw6wKstV5Dp7747QuycrOCPlRQJL96jnoBXTHviSueICI8gpGLRrJq1yrnA6WxTOwyMWDXCKTKFSvzeIfHGTp/KAt+XcC1ja/1lL26/FVSs1N55NJHQhjh6cnf4YJNgHd97H8X0LgKESmXrk2+lkPph1ixy3sR1a9//xqAdnW16EWo1Y+rD+A1ZDAqClIzinhOVk4aaZlRREVZCk572Hhgo5Ks00S3Jt3449gffPPHN17752+ajyPSwWUNLgtRZCKnzhjDY5c/xpw+c6geVZ2kaknMvXkuiVUSQx1akW6/4HbOqXoOQ+YPYeexnQCkZqXy8vKX+UuTv9AioUWIIzz9+Jtk7cP3w4gvBPYGLhwRkdNH56TOhJkwPt3sPWxp/ub51HPU0wIJp4H6DleSlW/xC+dwwaiil3DPiio0VPBoxlEOph8kqWrZzPOR4vU+tzdVKlXhleWvePZZa5m/eT7XJF1z2jwQWORUdG/Wna9v/5ov+3/JVeec3g9AjwiP4MObPuRw+mGufvdq3vvxPW768CYOph1k5GUjQx3eaak0DyN+zRgzyhjT0RhzpTFmNPAP4PXghSciEjrxUfG0q9vOa25IVm4Wn2/5nK6Nu542K0CdzdyLEuxL3efZFxUFqZlFPIw41zlcsGCS5U7SGsQ1CFqs4r/oiGgGXTCIWT/PYv2+9YDz4d+7U3ZrqKBIiLSu3Zp5feexN2Uvt310G5/++imTr5tM+/rtQx3aacnfJOsZ4ClgKPAlsAgYAjwJjAtOaCIioXdd4+tYsWsFe1OcnfbLti/jeNZxfdA7TdSIqgHA/tT9nn3R0ZCWWcn36oKuhxFHR3snyO7hhu7hhxJ6j1z2CLGRsQz7ZBjHMo/x9FdPUzGsotd8EBEpW1ckXsHOETtZN3Qd2+/fzrC2w0Id0mnL3+dkWWvt36219YA4IM5aW89aO8kWXGZERKQc6dW8FwDv/uiclvrxpo+JDI+kU6NOoQxLXCpXrExMRAz707yTrNT0SkUPF8yOJSqqQJKlnqzTTvWo6kzqMoml25cS91wc//3lv7zw5xdIiE4IdWgiZ7XKFStzbsK5+n1ZgmKTLGNMrDGmvzHG4d5nrT1urT1ujIlzlUUXdw4RkTNZ8xrNuazBZby26jXSstOYuW4mXZK7EB2hX32nixpRNQoPF8yILHIJ99Ss2ELDBX8/+jvhJpzaMbWDHK2URv/z+7NkwBL6ndePf9/4b4ZfPDzUIYmI+KWkJdyHAFdaa98pWGCtPWqM6Q0kAC8GIzgRkdPBvRfdS5//9KHZ5GbsS92nBy6eZmpE1yjUk5WWEeHsybIWr2UEc1JJy4qheoEc+Y9jf1Anto7XUv1yergi8QquSLwi1GGIiJRKScMF+wCTiymfDPQNXDgiIqefm/50E/e3u5/ICpFMvnYyHRp2CHVIkk9CdEKhnqys7Ark5BjIy/Ku7JqTVWjhi6N/aD6WiIgETEk9WY2B9cWU/wxovVsRKdeMMfy9y9/5e5e/hzoU8aFGVA1W717teR3t6qVKy4zCkZsG4ZEnKuemFbm64IW1fT2pREREpPRK6skyOIcDFiXBj3OIiIgETY0o53BB9zpM7iQrNdPHA4lzUknLrOSp47YnZY/mY4mISMCUlCCtAzoXU96F4nu6REREgiohOoGs3CyOZR4D8PRSpWZGF17G3ZVk5e/JysjJICUrhRrRNcooYhERKe9KSrL+CYwyxnQvWGCM6QE8BrwRhLhERET84k6O3ItfeIYLZhV+ILHNTiU1wzvJOph2EHAuGS4iIhIIxc7JstZON8ZcCXxkjPkF2Ogqao5zvta/rbXTgxqhiIhIMfI/kDi5WnKB4YKpXnUz03OwNsxruOCBtAMAxFeOL5N4RUSk/CtxPpW19lbgZuAXoAnQFGey1dda2y+44YmIiBSvWuVqABxKPwQUGC6Yc9yrblpanlcdgIPp6skSEZHAKml1QQCstR8AHwQ5FhERkVJzJ1mHMw4D3qsLku2dZKWmGa86cKInS0mWiIgESqlXBjTGzDfGaAkmERE5LRTbk5V97ETFvGzS0it61QElWSIiEngns/x6B6ByoAMRERE5GVUqVQFOJFleC1/kT7JyUp378J1kuZM1ERGRU6VnXImIyBktPCycuMg4Dqd7DxdMzSgwJyvH+SDi/HXAmWTFRcZRMbxiWYUsIiLl3MkkWduB7EAHIiIicrKqVa7GoYwCwwWz4gr3ZGUW7sk6mH5QQwVFRCSg/Fr4Ij9rbYtgBCIiInKyqlau6hkuWKkSGANpOVUg+9cTlXKLHi6oJEtERALJr54sY8wVxph2+V4PNMZ8bYx5zRgTE7zwRERESlatcjXPcEFjnElUanbVQj1Z7uGCBZOs+Cg9I0tERALH3+GCE4FaAMaYpsBrwI9Ae+CFoEQmIiLip2qVq3l6ssA55yot21FkkhWT7+tB9WSJiEig+ZtkJQE/uX7uBXxurR0G3Al0C0ZgIiIi/qpaqWqhJCs1y+G98EX2UVIynNlVoSSrspIsEREJHH+TLAuEu36+Cljg+nkPoDEWIiISUtUqV+NwxmGstYBruGBWjHdPVtaJJMu9umB6djpp2WkaLigiIgHlb5K1AnjcGHMbcDnwqWt/Is5ES0REJGSqVa5GTl4OKVkpgGu4YMGHEWcfITUzmkqVLOGurw0Pph8E9CBiEREJLH+TrPuBVsBk4Flr7RbX/puAbwMfloiIiP+qVqoKeD+QODUzynu4YNZRUjJjCw0VBCVZIiISWH4t4W6tXQe09FH0EJAb0IhERERKqUqlKgAczTwKOIcL7tpduVBPVkrWn4iJMZ5d7iQrvrKGC4qISOD4u4R7mDEmLN/rWsaYQUBra60eTCwiIiHliHQAcCzTmVRFR0NaRiXIzYA8139TWUdJyazi1ZPlru9O0kRERALB3+GC84F7AVzPxVqJc+n2r4wx/YMUm4iIiF/iKsUBcDTjRE9WakakszDbNWQw+wip2Q7PohdwIslyJ2kiIiKB4G+SdSGwyPVzT+AYkIBzCfeHghCXiIiI33z3ZFV0FmY7Ey+yDpOS4fDZk6UkS0REAsnfJCsWOOL6uTPwkWuY4CKcz9ASEREJmbhIV0+Wa05WdDSkpruSrKwjzj8zDxRa+MKdZMVGxpZVqCIichbwN8n6HbjUGBMNXAN87tpfDUgLRmAiIiL+KtiTFRUFmZnh5OaFQZbrIcWZB0nJiCqUZEWGRxIRHlHWIYuISDnmb5L1N+BdYAewE1jq2t8B+CkIcYmIiPgtqmIU4SbcMyfLPe8qLTPKmWTZPMg6SGpG5UJzsjRUUEREAs3fJdxfM8asAuoDn1tr81xFW4DHgxWciIiIP4wxOCIdXj1ZAKmZ0cRmHnLOy7J5pKRFevVkHc86riRLREQCzt+eLKy1K621H1lrU/Ltm2+t/eZkLmyMGWmMscaYySdzvIiISH5xleK85mQBpGW5erIyDpCXZ0hNr1houKCSLBERCTS/kyxjTFdjzFJjzAFjzH5jzFfGmOtO5qLGmItxrkz448kcLyIiUlD+nix3kpWaHe9MsjIPkJ5VGWuNkiwREQk6fx9GPAj4COfwwEeAR4GtwEfGmNtLc0FjTBwwA7gDOFyqaEVERIoQF3miJ8s9XDAltw5k7HfOx8p0Zl6akyUiIsHmb0/WI8AIa+1frbVvuLaBOJ+R9Wgpr/k68B9r7aISa4qIiPgpf09WnHNFd47lNoCMva7l251dWAV7srR8u4iIBJq/SVYDYIGP/Z8CDf29mDHmTiAZPxbLMMYMNsasNMas3L9/v7+XEBGRs1RcpTjP6oLuJOtoVj3I2ONavt13kuWIUE+WiIgEVmmek/VnH/s7A9v9OYExpikwDrjFWptVUn1r7evW2jbW2jY1atTwM0wRETlbOSJO9GRVqeLcdySrNqTvcfVkOXdqTpaIiASbX0u4Ay8CrxhjWgPfAha4DLgNuNfPc7QHqgPrjDHufeFAB2PMECDaWpvpb+AiIiL55V9d0NOTlZEAmfsgY59zfhYn5mRl5mSSlZulJEtERAKuNM/J2gc8CPR07d4A9LbW/tfPa80BVhbY9yawGWcPV4m9WyIiIkWJi4wjKzeLzJxMYmIiCQuDI5m1nA8i3vcVR3N6Oeu5ErDjWccBlGSJiEjAlZhkGWMqAs8Cr1prLzvZC1lrjwBHCpw7FThkrV13sucVERGBE8nS0cyjJEQnEBcHRzNrOwtTtnAktzFwYiihe2ihkiwREQm0EudkWWuzgWGAKamuiIhIqMRVcnZR5Z+XdTSjmqf8aE5Dz/789ZRkiYhIoPm78MVCoFOgL26tvdJae0+gzysiImcfT09WvhUGjxyrCE2HQ0RVjpjzCQ8/MSfLnWRpCXcREQk0fxe++BIYZ4xpCawCUvMXWmtnBzowERGR0oiL9NGTdRRo/XdoNYEjSyKIiwP32kvqyRIRkWDxN8ma7PrzPh9lFucqgSIiIiGTf04WOHuyfvsNZ1YVHsGRIyeGCgIcz9TCFyIiEhz+ri7o77BCERGRkPA5J+voifKjR0+sLJi/npIsEREJNCVPIiJSLvick3XkRPmhQ1C16onXSrJERCRYik2yjDHXGmO2GWPifJTFuco6By88ERER/7jnZLmHC1apAsePQ16es/zAAahe/UT9Y5nHMBiiK0aXcaQiIlLeldSTdQ/wgrX2aMEC177ngeHBCExERKQ0KoZXpFKFSp65VnFxYC0cc3ZYcfAgxMefqH8s8xiOSAfG6AklIiISWCUlWS2BL4opXwScH7hwRERETp4j0uE1JwucQwZzc+Hw4QI9WVnHtHy7iIgERUkLX9QA8oopt0B8MeUiIiJlJjYilmNZziQrIcG5b98+iI11DhvM35N1PPO45mOJiEhQlNSTtQNnb1ZRWgI7AxeOiIjIycvfk1WzpnPf3r3OoYJQeE6WkiwREQmGkpKs+cBYY0zlggXGmCjgaVcdERGRkHNEOjxzstxJ1p49zkUvwPecLBERkUArabjgs8CNwGZjzCvARtf+5jgXxTDAuOCFJyIi4j9HpIMdx3YA3j1ZtWo5fy6YZNWPq1/GEYqIyNmg2CTLWrvPGHMJMBVnMuVegskCC4Fh1tq9wQ1RRETEP7GRsZ7hgpGRzsUvih0uGKGeLBERCbySerKw1m4HrjPGVAWScSZam621h4MdnIiISGk4Ik7MyQJnb1ZxwwW1uqCIiARDiUmWmyupWhHEWERERE6JI9LB8azjntc1a57oyapY0bnKIECezSMlK0VzskREJChKWvhCRETkjOGIdJCRk0FWbhbgnIu1Z8+JBxG7nzucmpWKxSrJEhGRoFCSJSIi5YZ7+F/+FQb37oXffoN69U7Ucw8pVJIlIiLBoCRLRETKDXfS5E6iateGY8fgf/+D8847UU9JloiIBJOSLBERKTfcSZN7XpY7sUpJgRYtTtRTkiUiIsGkJEtERMqNgj1ZbdueKOvW7cTPSrJERCSY/F5dUERE5HQXG+Gck+VOomrWhFdegQoVoHHjE/XcPV3u+iIiIoGkJEtERMqNgj1ZAPfcU7ieerJERCSYNFxQRETKDc+crMzjxdZTkiUiIsGkJEtERMoNXz1ZvrjL3Uu+i4iIBJKSLBERKTeiI6IB/5KsShUqEREeURZhiYjIWUZJloiIlBthJozYiFi/kiwNFRQRkWBRkiUiIuWKI9LhWT2wKMezjivJEhGRoCkXqwseO3aMffv2kZ2dHepQRE5KdHQ09erVIyxM33uInCpHpMOvniwt3y4iIsFyxidZx44dY+/evdStW5fKlStjjAl1SCKlkpeXx86dOzlw4AAJCQmhDkfkjBcbqeGCIiISWmf81+b79u2jbt26REVFKcGSM1JYWBg1a9bk6NGjoQ5FpFzwtydLSZaIiATLGZ9kZWdnU7ly5VCHIXJKKlasSE5OTqjDECkX/JmTpSRLRESC6YxPsgD1YMkZT+9hkcBRT5aIiIRauUiyRERE3BwRJSdZxzO1uqCIiASPkiwRESlX3AtfWGt9lmfmZJKZm6kkS0REgkZJloiIlCuOSAd5No+07DSf5e75WlrCXUREgkVJVojt3buXBx54gMaNG1OpUiUSEhK45JJLeOWVV0hJSQEgMTERYwzGGCpXrkyzZs144YUXvL6l3bZtm6dOwW3BggUAvPXWW0XWycjIAGDgwIEYY3jmmWe84lyyZAnGGA4cOODXfc2ZM4f27dtTpUoVYmJiaNasGYMGDfKqY61l+vTptG/fntjYWBwOB61bt2bChAkcO+Yc6jNmzBhatGjh1zWLur+JEyd6ymNiYnweW9R13O26cuVKAKZNm4bD4WDbtm1e9UaPHk3dunU5dOgQAEuXLuX666+nbt26GGN46623/LoHETl17h6qoha/cA8lVE+WiIgEyxn/nKwz2bZt27j00ktxOByMHTuWli1bkpeXx6ZNm3jnnXeIj4+nX79+ADzxxBMMHTqUjIwMvvjiC4YOHYrD4eCuu+7yOueCBQs4//zzvfZVq1bN83NUVBRbtmwpFEulSpW8fp4wYQJ33XUXNWrUKPV9ffnll9x000089dRTvPnmm4SHh7Nx40bmzJnjVe+2225j1qxZjBw5kkmTJpGQkMD69euZPHkyCQkJDBw4sNTX9nV/DkfgPkjdeeedfPTRRwwcOJDFixdjjGH58uU8//zzzJ0719PWKSkptGjRgv79+9O/f/+AXV9ESuZOno5lHqNWTK1C5UqyREQk2JRkhdDQoUMJCwtj5cqVREdHe/a3aNGCnj17evVUxcbGUquW88PCoEGDmDp1Kp999lmhJCs+Pt5TzxdjTLHlAB07dmTHjh2MHTuWl19+udT3NW/ePNq1a8fIkSM9+xo3bky3bt08rz/44ANmzJjBrFmz6Nmzp2d/YmIiXbt25ciRI6W+Lvh3f6dq+vTptGjRgokTJzJkyBD69+/P7bffzrXXXuupc91113HdddcBnFSyKCInzz0MsKjFL5RkiYhIsJXLJOv+BfezZs+aMr1mq1qtmNhlot/1Dx06xMKFCxk3bpxXgpWfr2W9rbV89dVXbNiwgcaNG59suMUKCwvjueeeo0ePHgwfPpykpKRSHV+rVi02btzI2rVrC/Wquc2YMYMmTZp4JVj5ValSpbRhl5k6deowefJk7rjjDr7++muysrJ46aWXQh2WiLjk78ny5Xjmca96IiIigaY5WSGyefNmrLU0bdrUa3+9evWIiYkhJiaGIUOGePaPGjWKmJgYIiMj6dixI9Za7rvvvkLn7dChg+d493b06FFPeWpqaqHySy65pNB5rrvuOi699FJGjRpV6nu79957adeuHa1ataJ+/frceOON/OMf//DMMXPff7NmzUp97pL4ur9g6NevHxdffDGzZ89m+vTpQbuOiJSeZ05WpuZkiYhIaJTLnqzS9CidbpYtW0Zubi6DBw/2LEYBMGLECO644w7279/PqFGj6Ny5s8/kaObMmYUWcIiNPbGCVlRUFGvWrPEqj4yM9BnLhAkTuPjii3nooYdKdQ/R0dHMnz+fLVu2sHjxYr7//nsee+wxxo8fz/Lly6lZs2aRSyufKl/3Fwzr16/nu+++IyoqiqVLl9KpU6egX1NE/FNST5Z7f2ykVhcUEZHgKJdJ1pkgOTkZYwwbN2702t+oUSPAmSzkFx8fT3JyMsnJycyaNYvGjRvTrl07Onbs6FWvXr16JCcnF3ldY0yx5fm1bduWXr168cgjj/D444/7dUx+SUlJJCUlMWjQIEaNGkWTJk2YOnUqY8aMoUmTJmzYsKHU5yxJae4vP4fD4dXj5+aeGxYXF+fZl5OTw4ABA+jevTt9+vShT58+dO/enQsuuOCk4xaRwHEnT5qTJSIioaLhgiESHx9P586dmTx5stcwOn9UrVqVe+65hwceeCBoPUJu48aNY9myZZ5l4E9WYmIiUVFRnnvt168fmzdvZvbs2T7rn+zCFyeradOm7N69m927d3vt/+GHH4iIiPAkvwDPPPMMO3fuZMqUKfTs2ZPevXszYMAAsrKyyjRmEfHNn54sgyG6ou/5sCIiIqdKSVYITZkyhby8PC688ELef/99fv75ZzZt2sT777/P2rVrCQ8PL/LYu+++m19++YUPP/zQa//BgwfZs2eP15aenu4pt9YWKt+zZw+5ubk+r5OcnMzgwYOZNGmS3/c1ZswYHn74YZYsWcLWrVtZvXo1t99+OykpKVx//fUA9O7dm5tvvplbbrmFsWPHsmLFCrZv386CBQvo2rVroeXeAyUvL481a9Z4bevWreOaa66hWbNm9O3bl2+++YbffvuNWbNmMXr0aO6//34qVHB2+q5atYpnn32W119/nfj4eAAmT57MgQMHeOqppzzXSUlJ8Zw/Ly+P33//nTVr1vD7778H5b5E5ITI8EgqhlUs9jlZjkiHz8WFREREAkHDBUPonHPOYfXq1YwfP57HH3+cP/74g4oVK9K8eXOGDRvGPffcU+SxNWrU4LbbbmPMmDHceOONnv1dunQpVHfatGmeBwGnpaVRu3btQnU2b95c5DC7J554grffftvv+7riiiuYMmUKAwYMYO/evTgcDs4991zmzp1Lhw4dAOewvpkzZzJt2jTeeOMNnn/+ecLCwkhKSqJv37706tXL7+uVRnp6eqFhffHx8Rw4cIDPPvuMkSNHcsstt7Bv3z4SExMZPnw4I0aMACAzM5P+/ftz6623ei1HX7VqVaZNm0aPHj3o0aMHbdu2ZeXKlV5DOZ988kmefPJJBgwYoAcTiwSZMQZHpKPo1QWzjmuooIiIBJUJ9nCzQGjTpo1duXKlz7INGzbQvHnzMo5IJPD0XhYJnEaTGnF5g8t554Z3CpXd+MGNbDywkXXD1oUgMhERORMZY1ZZa9v4W1/DBUVEpNwprifLPVxQREQkWJRkSakNGTKk0LOofD3bK9DOPffcIq87Y8aMoF1XRM48jkhHsXOytHy7iIgEk+ZkSak9/fTTRT47y+EI3rfDn3zyCdnZ2T7LatasGbTrisiZxxHpYF/qPp9lxzKPUT+ufhlHJCIiZxMlWVJqCQkJJCQklPl1GzZsWObXFJEzU2xELL8e+tVn2bHMYzgiNFxQRESCR8MFRUSk3NHqgiIiEkpKskREpNxxRDo4nll4TlaezeN4ppIsEREJLiVZIiJS7jgiHaRmp5Kb5/2g9dSsVCxWSZaIiASVkiwRESl3YiOcqwcWXGHQPYRQSZaIiASTkiwRESl33ElUwXlZ7tdawl1ERIJJSZaIiJQ77iSr4Lws9WSJiEhZUJIVYnv37uWBBx6gcePGVKpUiYSEBC655BJeeeUVUlJSAEhMTMQYgzGGypUr06xZM1544QWstZ7zbNu2zVOn4LZgwQIA3nrrrSLrZGRkADBw4ECMMTzzzDNecS5ZsgRjDAcOHPDrvubMmUP79u2pUqUKMTExNGvWjEGDBnnVsdYyffp02rdvT2xsLA6Hg9atWzNhwgSOHXN+EBozZgwtWrTw65pF3d/EiRM95TExMT6PLeo67nZduXIlANOmTcPhcLBt2zaveqNHj6Zu3bocOnQIgPHjx9O2bVscDgc1atSgW7durFu3zq/7EJFTV1JPlpIsEREJJj0nK4S2bdvGpZdeisPhYOzYsbRs2ZK8vDw2bdrEO++8Q3x8PP369QPgiSeeYOjQoWRkZPDFF18wdOhQHA4Hd911l9c5FyxYwPnnn++1r1q1ap6fo6Ki2LJlS6FYKlWq5PXzhAkTuOuuu6hRo0ap7+vLL7/kpptu4qmnnuLNN98kPDycjRs3MmfOHK96t912G7NmzWLkyJFMmjSJhIQE1q9fz+TJk0lISGDgwIGlvrav+wvkA5LvvPNOPvroIwYOHMjixYsxxrB8+XKef/555s6d62nrJUuWMGzYMNq2bYu1lieeeIKrr76an3/+2evvQ0SCwz0csGCS5Z6jpSRLRESCSUlWCA0dOpSwsDBWrlxJdHS0Z3+LFi3o2bOnV09VbGwstWrVAmDQoEFMnTqVzz77rFCSFR8f76nnizGm2HKAjh07smPHDsaOHcvLL79c6vuaN28e7dq1Y+TIkZ59jRs3plu3bp7XH3zwATNmzGDWrFn07NnTsz8xMZGuXbty5MiRUl8X/Lu/UzV9+nRatGjBxIkTGTJkCP379+f222/n2muv9dRZuHCh1zHvvvsucXFxfPPNN17tICLBUVRP1tGMo17lIiIiwVA+k6xV98PhNWV7zaqt4MKJflc/dOgQCxcuZNy4cV4JVn7GmEL7rLV89dVXbNiwgcaNG59ksMULCwvjueeeo0ePHgwfPpykpKRSHV+rVi02btzI2rVrC/Wquc2YMYMmTZp4JVj5ValSpbRhl5k6deowefJk7rjjDr7++muysrJ46aWXij3m+PHj5OXlUbVq1TKKUuTs5pmTVWB1wcMZhwGoWkn/FkVEJHg0JytENm/ejLWWpk2beu2vV68eMTExxMTEMGTIEM/+UaNGERMTQ2RkJB07dsRay3333VfovB06dPAc796OHj3qKU9NTS1UfskllxQ6z3XXXcell17KqFGjSn1v9957L+3ataNVq1bUr1+fG2+8kX/84x+eOWbu+2/WrFmpz10SX/cXDP369ePiiy9m9uzZTJ8+vcTrDB8+nFatWtG+ffugxCMi3orqyTqUfogwE6bVBUVEJKjKZ09WKXqUTjfLli0jNzeXwYMHexajABgxYgR33HEH+/fvZ9SoUXTu3NlncjRz5sxCCzjExp74MBEVFcWaNWu8yiMjI33GMmHCBC6++GIeeuihUt1DdHQ08+fPZ8uWLSxevJjvv/+exx57jPHjx7N8+XJq1qzpNRQykHzdXzCsX7+e7777jqioKJYuXUqnTp2KrDtixAi+/vprvv76a8LDw4Mem4hATITzi4+CSdbh9MNUqVSFMKPvGEVEJHjKZ5J1BkhOTsYYw8aNG732N2rUCHAmC/nFx8eTnJxMcnIys2bNonHjxrRr146OHTt61atXrx7JyclFXtcYU2x5fm3btqVXr1488sgjPP74434dk19SUhJJSUkMGjSIUaNG0aRJE6ZOncqYMWNo0qQJGzZsKPU5S1Ka+8vP4XB49fi5ueeGxcXFefbl5OQwYMAAunfvTp8+fejTpw/du3fnggsuKHT8Aw88wL/+9S8WL17MOeecU+q4ROTkVAirQFTFqMJJVsZhDRUUEZGg01d5IRIfH0/nzp2ZPHmy1zA6f1StWpV77rmHBx54IGg9Qm7jxo1j2bJlnmXgT1ZiYiJRUVGee+3Xrx+bN29m9uzZPuuf7MIXJ6tp06bs3r2b3bt3e+3/4YcfiIiI8CS/AM888ww7d+5kypQp9OzZk969ezNgwACysrK8jh0+fDgzZ85k0aJFQRkaKSLFc0Q6fCZZ1SprhU8REQkuJVkhNGXKFPLy8rjwwgt5//33+fnnn9m0aRPvv/8+a9euLXZo2d13380vv/zChx9+6LX/4MGD7Nmzx2tLT0/3lFtrC5Xv2bOH3Nxcn9dJTk5m8ODBTJo0ye/7GjNmDA8//DBLlixh69atrF69mttvv52UlBSuv/56AHr37s3NN9/MLbfcwtixY1mxYgXbt29nwYIFdO3atdBy74GSl5fHmjVrvLZ169ZxzTXX0KxZM/r27cs333zDb7/9xqxZsxg9ejT3338/FSo4O31XrVrFs88+y+uvv058fDwAkydP5sCBAzz11FOe69x99928+eabvP/++1StWtXTzqVNqEXk5PlMstIPU7WyerJERCS4NFwwhM455xxWr17N+PHjefzxx/njjz+oWLEizZs3Z9iwYdxzzz1FHlujRg1uu+02xowZw4033ujZ36VLl0J1p02b5nkQcFpaGrVr1y5UZ/PmzUUOs3viiSd4++23/b6vK664gilTpjBgwAD27t2Lw+Hg3HPPZe7cuXTo0AFwDuubOXMm06ZN44033uD5558nLCyMpKQk+vbtS69evfy+Xmmkp6cXGtYXHx/PgQMH+Oyzzxg5ciS33HIL+/btIzExkeHDhzNixAgAMjMz6d+/P7feeqvXMuxVq1Zl2rRp9OjRgx49etC2bVumTJkCwFVXXeV1rSeffJIxY8YE5d5ExFvVSlU9qwm6HUo/RGKVxNAEJCIiZw0T7OFmngsZczdwF5Do2rUeeMZaO7+kY9u0aWNXrlzps2zDhg00b948UGGKhIzeyyKB1XVmV/ak7GHV4FWefdWer0a/8/ox+brJIYxMRETONMaYVdbaNv7WL8vhgjuAR4DWQBtgETDHGNOyDGMQEZGzRPWo6hxMO+h5nZOXw5GMI1SPqh7CqERE5GxQZkmWtfa/1tpPrbW/Wms3WWtHAccBPTjoDDNkyJBCz6Ly9WyvQDv33HOLvO6MGTOCdl0ROTNVr1ydA2kHPK8Ppx/GYomvHB/CqERE5GwQkjlZxphw4CYgBvi2iDqDgcEADRo0KLvgpERPP/10kc/OcjgcQbvuJ598QnZ2ts+ymjVrBu26InJmqh5VndTsVNKz06lcsTIH0w969ouIiARTmSZZxpjzgO+ASkAKcIO19idfda21rwOvg3NOVpkFKSVKSEggISGhzK/bsGHDMr+miJy53MnUwfSD1KtYz9OrFR+lniwREQmusl7C/RegFXAxMBV42xjTooxjEBGRs4A7yXInV+75WerJEhGRYCvTnixrbRbwq+vlSmNMW+AB4I6yjENERMo/d4+VO8ny9GRpTpaIiARZqB9GHAZEhjgGEREphzzDBV09WJqTJSIiZaXMerKMMc8B84E/gFigH3Al0LWsYhARkbNHweGCB9IOEBkeSVTFqFCGJSIiZ4GyHC5YC3jP9edR4EfgWmvtwjKMQUREzhLVKlcDvOdkVY+qjjEmlGGJiMhZoMySLGvtwLK6loiISIWwClStVJX9afsBOJB+QEMFRUSkTIR6TtZZb+/evTzwwAM0btyYSpUqkZCQwCWXXMIrr7xCSkoKAImJiRhjMMZQuXJlmjVrxgsvvIC1J1a237Ztm6dOwW3BggUAvPXWW0XWycjIAGDgwIEYY3jmmWe84lyyZAnGGA4cOIA/5syZQ/v27alSpQoxMTE0a9aMQYMGedWx1jJ9+nTat29PbGwsDoeD1q1bM2HCBI4dOwbAmDFjaNHCvwUoi7q/iRMnespjYmJ8HlvUddztunLlSgCmTZuGw+Fg27ZtXvVGjx5N3bp1OXToEACvvvoqLVu2xOFw4HA4aN++PfPnz/frPkQkcOo66rLj2A4A9qTsISG67B8/ISIiZ5+QPIxYnLZt28all16Kw+Fg7NixtGzZkry8PDZt2sQ777xDfHw8/fr1A+CJJ55g6NChZGRk8MUXXzB06FAcDgd33XWX1zkXLFjA+eef77WvWrVqnp+joqLYsmVLoVgqVark9fOECRO46667qFGjRqnv68svv+Smm27iqaee4s033yQ8PJyNGzcyZ84cr3q33XYbs2bNYuTIkUyaNImEhATWr1/P5MmTSUhIYODAgaW+tq/7C+QDku+8804++ugjBg4cyOLFizHGsHz5cp5//nnmzp3raet69erx/PPP07hxY/Ly8nj77bfp0aMHq1atomXLlgGLR0SK1yCuAb8f/R2AHcd20CJJTw0REZHgU5IVQkOHDiUsLIyVK1cSHR3t2d+iRQt69uzp1VMVGxtLrVq1ABg0aBBTp07ls88+K5RkxcfHe+r5YowpthygY8eO7Nixg7Fjx/Lyyy+X+r7mzZtHu3btGDlypGdf48aN6datm+f1Bx98wIwZM5g1axY9e/b07E9MTKRr164cOXKk1NcF/+7vVE2fPp0WLVowceJEhgwZQv/+/bn99tu59tprPXW6d+/udcyzzz7L1KlT+e6775RkiZSh+o76LN+5nOzcbHYf3009R71QhyQiImeBcplk3X8/rFlTttds1Qpco9L8cujQIRYuXMi4ceO8Eqz8fE3Ottby1VdfsWHDBho3bnxywZYgLCyM5557jh49ejB8+HCSkpJKdXytWrXYuHEja9euLdSr5jZjxgyaNGnilWDlV6VKldKGXWbq1KnD5MmTueOOO/j666/JysripZdeKrJ+bm4uH374ISkpKVxyySVlGKmINIhrwIG0A2w+tBmLpX5c/VCHJCIiZwHNyQqRzZs3Y62ladOmXvvr1atHTEwMMTExDBkyxLN/1KhRxMTEEBkZSceOHbHWct999xU6b4cOHTzHu7ejR496ylNTUwuV+/rgf91113HppZcyatSoUt/bvffeS7t27WjVqhX169fnxhtv5B//+Idnjpn7/ps1a1bqc5fE1/0FQ79+/bj44ouZPXs206dP93mdn376yfN3NmTIED766CPOO++8oMQjIr41iW8CwLxf5gFwTtVzQhmOiIicJcplT1ZpepRON8uWLSM3N5fBgwd7FqMAGDFiBHfccQf79+9n1KhRdO7c2WdyNHPmzEILOMTGxnp+joqKYk2Bbr7ISN/Pg54wYQIXX3wxDz30UKnuITo6mvnz57NlyxYWL17M999/z2OPPcb48eNZvnw5NWvW9BoKGUi+7i8Y1q9fz3fffUdUVBRLly6lU6dOheo0bdqUNWvWcOTIEWbNmsWAAQNYsmSJ3wt5iMipa169OQDv/fQeABfUuiCU4YiIyFmiXCZZZ4Lk5GSMMWzcuNFrf6NGjQBnspBffHw8ycnJJCcnM2vWLBo3bky7du3o2LGjV7169eqRnJxc5HWNMcWW59e2bVt69erFI488wuOPP+7XMfklJSWRlJTEoEGDGDVqFE2aNGHq1KmMGTOGJk2asGHDhlKfsySlub/8HA6HV4+fm3tuWFxcnGdfTk4OAwYMoHv37vTp04c+ffrQvXt3LrjA+8NbRESEJ5Y2bdqwYsUK/v73v/PGG2+UOj4ROTnJ1ZKpEFaBdfvWkVQ1iaqVq4Y6JBEROQtouGCIxMfH07lzZyZPnuw1jM4fVatW5Z577uGBBx4IWo+Q27hx41i2bJlnGfiTlZiYSFRUlOde+/Xrx+bNm5k9e7bP+ie78MXJatq0Kbt372b37t1e+3/44QciIiI8yS/AM888w86dO5kyZQo9e/akd+/eDBgwgKysrGKvkZeXR2ZmZlDiFxHfIitE0rp2awCuPufqEEcjIiJnCyVZITRlyhTy8vK48MILef/99/n555/ZtGkT77//PmvXriU8PLzIY++++25++eUXPvzwQ6/9Bw8eZM+ePV5benq6p9xaW6h8z5495Obm+rxOcnIygwcPZtKkSX7f15gxY3j44YdZsmQJW7duZfXq1dx+++2kpKRw/fXXA9C7d29uvvlmbrnlFsaOHcuKFSvYvn07CxYsoGvXroWWew+UvLw81qxZ47WtW7eOa665hmbNmtG3b1+++eYbfvvtN2bNmsXo0aO5//77qVDB2em7atUqnn32WV5//XXi4+MBmDx5MgcOHOCpp57yXOfRRx9l2bJlbNu2jZ9++onHHnuMJUuWcMsttwTlvkSkaLecdwsJ0QkMvnBwqEMREZGzhbX2tN8uvPBCW5Sff/65yLIzwe7du+19991nk5KSbEREhI2OjrZt2rSx48aNs8eOHbPWWtuwYUP7wgsvFDr2zjvvtM2bN7e5ubl269atFvC5TZs2zVpr7Ztvvllknc2bN1trrR0wYIDt2rWr13X27t1rY2JiLGD3799f4j0tWrTI3njjjbZBgwY2MjLS1qhRw1555ZX2448/9qqXl5dnX3vtNXvRRRfZ6OhoGxsba1u1amWff/55z70/+eST9txzz/WrLd98800bHR1dbLmve4+Pj7fWWrtz5047YMAA27BhQ1u5cmXbvHlz+9xzz9msrCxrrbUZGRn2T3/6kx04cGChc3/88ce2QoUKdvny5dZaZzs2aNDARkRE2Bo1atirrrrKLliwoNj4z/T3soiIiEh5Bay0pchfjA3ycLNAaNOmjV25cqXPsg0bNtC8efMyjkgk8PReFhERETk9GWNWWWvb+FtfwwVFREREREQCSEmWlNqQIUMKPYvK17O9Au3cc88t8rozZswI2nVFREREREpDS7hLqT399NNFPjvL4XAE7bqffPIJ2dnZPstq1qwZtOuKiIiIiJSGkiwptYSEBBISEsr8ug0bNizza4qIiIiIlFa5GC54JizeIVIcvYdFREREyo8zPsmqWLGi13OgRM5E2dnZnmdxiYiIiMiZ7YxPshISEti5cydpaWnqDZAzUl5eHnv37iUuLi7UoYiIiIhIAJzxX527F1rYtWtXkYsiiJzuoqOjqV69eqjDEBEREZEAOOOTLHAmWsFc1U5ERERERMRfZ/xwQRERERERkdOJkiwREREREZEAUpIlIiIiIiISQEqyREREREREAkhJloiIiIiISACZM+HZUsaY/cD2UMdxmqkOHAh1EGcJtXXZUVuXDbVz2VFblx21ddlRW5cdtXXZKamtG1pra/h7sjMiyZLCjDErrbVtQh3H2UBtXXbU1mVD7Vx21NZlR21ddtTWZUdtXXYC3dYaLigiIiIiIhJASrJEREREREQCSEnWmev1UAdwFlFblx21ddlQO5cdtXXZUVuXHbV12VFbl52AtrXmZImIiIiIiASQerJEREREREQCSEmWiIiIiIhIACnJEhERERERCSAlWacpY0w1Y8wrxpiNxph0Y8wfxpipxpj4AvWqGmPeNcYcdW3vGmOqFKjTwBgzzxiTaow5YIx52RgTUaY3dJozxgw2xiw2xhwxxlhjTKKPOttcZfm35wrUUVuXwM+21vs6CIwxS3y8h/9VoE6JbS/+McYMM8ZsNcZkGGNWGWMuD3VMZzpjzBgf7+E9+cqNq84u1/+dS4wx54Yy5jOFMaaDMWauMWanq10HFigvsW2NMZGuzy4HXL+b5xpj6pXpjZzm/Gjnt3y8x78vUEft7AdjzGPGmBXGmGPGmP2uzwwtCtQJ2vtaSdbpqw5QF3gYOA+4FegAvF+g3kygNXAt0MX187vuQmNMODAfiAUuB/oCNwIvBTf8M04U8BkwpoR6TwO1823PuAvU1n7zp631vg6eN/F+D99VoLzYthf/GGP6AJOAccAFwLfAp8aYBiENrHz4Be/38Hn5yh4GHgTuBdoC+4DPjTGxZR3kGSgGWAcMB9J9lPvTthOBXjh/J18OOICPXb+zxamkdgb4Au/3+HUFyieidvbHlcAU4BKgE5ADfGGMqZavTvDe19ZabWfIhvMfWR7gcL1uDljg0nx1LnPta+p6fa3rmPr56twKZLjPo82rjdu42i/RR9k24KFijlVbB6Ct9b4OapsvASYXU15i22vzu63/B0wrsG8zMD7UsZ3JG84vZ9YVUWaA3cCofPsqA8eBu0Id+5m0ASnAwNK0LRAHZAG35KtT3/W7+ppQ39PpuBVsZ9e+t4CPizlG7Xzy7R0D5ALdXK+D+r5WT9aZxQFkAmmu1+1x/gP9Nl+db4BUnFm7u84Ga+0f+eosBCKBC4Mabfn0kDHmoDFmjTFmVIHhaWrrwND7Orhudg15WG+MebHAt3X+tL2UwPV74UKcPbb5fYbaMRDOcQ212mqM+Zcx5hzX/kZALfK1u7U2HViK2v1U+dO2FwIVC9T5A9iA2r+0LjPG7DPGbDLGTDPGJOQrUzufvFico/gOu14H9X1dIVBRS3C55kSMxfnNaI5rdy1gv3Wl1QDWWmuM2ecqc9fZW+B0B3Bm8rWQ0ngZWA0cBC4CnsP5D3SQq1xtHRh6XwfPTGA7sAs4FxgPnA/82VXuT9tLyaoD4RR+j+4Fri77cMqV/wEDgY1AAjAa+NY1h8L9HvXV7nXLKsByyp+2rYXzd/ABH3X0+8N/C4DZwFYgEee0hEXGmAuttZmonU/FJGAN8J3rdVDf1+rJKmPGmGd8TGgsuF1Z4JhoYB6wE+fY0fx8PU3aFNhf1BOny/WTqE+mrYtjrf2btXaxtfZHa+10YBhwh/FejERtHYC2Ru9rv5Wm7a21r1trF1prf7LW/gvoA1xtjGmd75T+tL34p2CbqR1PkbX2U2vtB67fw18Af8H5WWZA/moFDlO7B87JtK3avxSstf+y1s51/Z6eh3N4fFOgawmHqp2LYYz5G87h772stbkFioPyvlZPVtmbCLxXQp3f3T8YY2KAT1wv/2KtzchXbw+QYIwx7m+ejTEGqMGJrHwPcGmB8xf1LWt5M5FStPVJ+J/rz2ScvVtq6+L529Z6X5fORE6+7Vfi/IauMfAD/rW9lKyoXtUE1I4BZa1NMcasx/kenuPaXQvIP5RY7X7q3Cs4Fte2e3D+Dq4O7C9QZ2mwAyyvrLW7jDE7cL7HQe1casaYvwM3Ax2ttb/lKwrq+1pJVhmz1h6gcJejT665Ep/izJa7WGtTClT5DuckvvacmEPRHojO9/o7YLQxpp61dodr359xzu1adbL3cSYoTVufpFauP3e7/lRbB4be16Vwim1/Hs7/PPK/h0tqeymBtTbLGLMK53vyw3xFfwZmhSaq8skYUwloBizGObxqD852XpGv/HLg/0IVYznhT9uuArJddWa66tTDuaCOfn+cJGNMdZxD19y/p9XOpWCMmYQzwbrSWruxQHFw39ehXulDW5EroMTi/MDj/oauVr4tIl+9T4GfgItxfhj6CZiXrzzctW8RzmWEr8Y57PCVUN/j6bS52rUV0A9n9+91rtfVXOXtgQdc+xoBvV3t+F+1dWDb2lVH7+vAt3sS8ATOVR0TXe2+AWcPVri/ba/N7/bug3NFqkGu/4wn4VxUpGGoYzuTN+BF4ArX7+F2wMfAMXe7Ao+4XvcEWgD/wjkHMTbUsZ/uG84vWFq5tjTX74tWQAN/2xaY6vpdfLXrd/NinHNgwkNxT6fjVlw7u8pedP3uTcS5BPl3wA6180m19auu92wnvD9Hx+SrE7T3dcgbQFuRb4wrcX4A9bVdma9eNZxDhY65tveAKgXO1cD1H1EazmFtrwCRob7H02nDuSywr7Ye6CpvDXwPHMH5XIuNrmOi1NaBbWtXHb2vA9/u9YGvXG2VCfyK84N/tQL1Smx7bX63+TCcj35w97B2CHVMZ/qW7wNQlutDzyzgT/nKjet3zG6cj3T4CmgR6rjPhK2Yzx1v+du2QCXX7+KDrt/N88j3qA1txbczzuXDF+J8VlMWzoWK3irYhmpnv9u6qM/RY/LVCdr72rgOFhERERERkQDQ6oIiIiIiIiIBpCRLREREREQkgJRkiYiIiIiIBJCSLBERERERkQBSkiUiIiIiIhJASrJEREREREQCSEmWiIgElTFmjDFmXQivv80Y81Bp6hhjahljPjPGpBpjSv2sE9c9/zPf6yXGmMmlPU+gGWOWG2N6hjoOEZHyTkmWiEg5Yox5yxhjXVu2MWafMWaxMeZuY0zFUMcXaMaYGsaYKa4kKdMYs9cY86Ux5s+lPFVbYEq+1w8BdYBWQG1jzJWuNq3uR0wJwAjgmVLGcNKMMRuNMd39qDoWeN4Yo///RUSCSL9kRUTKny+A2kAi0Bnn0+mfApYZY6JDGNdJM8ZEFFE0C7gIuANoAvwF+BSIL835rbX7rbVp+XYlA6ustZuttXtKGe4gYLm19rdSHndSjDFNgQbA535U/wSIBa4NalAiImc5JVkiIuVPprV2j7V2p7V2jbX2b8CVQGvgYXclY0xVY8zbxpjDxph0Y8wXxphz85UPNMakGGO6GWM2GWMyXL1i5+SrM8YYs84YM8gY87vrPHNK6vExxvzVGPOz65ybjDEP5O9dcfUa3W2MmW2MSQXG+ThHFeBy4FFr7ZfW2u3W2hXW2hettf8qUL2SMeY1Y8wxY8wOY8z/FTiXZ7igMWYb0B3o74rjLWCxq+r+fPuK0g+YW8L9X2WMOWKMucv1+i1jzMfGmEeMMXuMMUeNMc8ZY8JcbbzPtf8RH6frDnxurU0zxlQ0xrxsjNnl6tn7wxjznLuitTYXZ6LVt7j4RETk1CjJEhE5C1hr1wELgF75dr8FtMP5If0iIA1YYIypnK9OJPAk8FegPRAOfGSMMfnqJAK3us5zNdAY+CdFMMbciTNpegJoDjwIPAIMK1D1SZwJwXnAqz5OleLarjfGVCrqei4PAD/hTDSfByYYY9oXUbctzt7AD3D2CA7nRLudm2+fr3urBvwJWFlUIMaYXsBHwGBr7Wv5ijoAjXAmxENwJsSf4Pw7uAwYAzxnjLmwwCl7AP91/XwfcANwM86/hz7ALwXqLweuKCo+ERE5dUqyRETOHj8D5wAYYxoD1+P8oL/UWvsTcBvgAG7Jd0wFYLi19htr7WpXnRbAVfnqVAb6W2tXW2u/Ae4Curmu4cvjwMPW2v9Ya7daa+cBz1E4yfq3tXa6tfY3a+3Wgiex1uYAA3EmeEeMMd8ZY140xrTzcc3PrLWTrbW/WmtfAX4tcA/5z7sfyATSXT2CR4FDruJ9+fb50gAwwG5fhcaYwTgT0ButtR8UKD4K3G2t3WitfR/4AahjrX3MWrvJWvsPYDvQMd/5auJMCue5djUENgHLrLW/W2u/tda+WeA6u4C6xpgKRdyDiIicIiVZIiJnDwO4V8prDuQB37kLXYnDTzh7YtzycPZ8uOtsx/khPX+dndba3/O9/p/ruOaFAjCmBlAfeM01FDHFGJOCM8lKKlC9yN6gfPHMwrlARTecc7EuAb43xowsUPXHAq93AQklnf8kuHsBM3yUdcfZI9fFWvuZj/KfXcP53Pbi/PugwL78cXcDvnclhuDsnWwFbDLGvGqM6epjkYt0nO+Fknr/RETkJCnJEhE5e/wJcC/GYIqpV+oly0vB/f/OEJzJgHtrgXMoXn6p/pzQWpthrf3cWvu0tfYS4A1gTIHFMrILHkZw/g884Pqzqo+yH3H2cN1RYLilm68YS4q7ByeGCmKt/QHn8M2RrnpvA58XSLSqARnW2pTibkRERE6ekiwRkbOAMaYF0AX4j2vXzzj/D2ifr44D5/ynn/MdGoZzOJq7TgOcPUcb8tWpa4ypn+/1Ra7j8tcBwFq7F9gJJLmG7nltp3CL+f2Mc5hjIHtqslx/hpdQbwtwDO+ePretOOdbdQZeLyLR8ptrpcirgDn591trj1trP7TWDgW6Ap1wrpbo1gLnUEQREQkSJVkiIuVPpHE+TLeOMeZ8Y8wIYAmwCngRwFq7GWcPyGvGmMuNMecB7+FMEGbmO1cOMNEY094Y0wpnz8h6nAtDuKUDbxtjWrkWk/gHMN91DV/GAA+7VhRsaoxpYYzpb4x5rDQ3aYyJN8YsMsbcaoxpaYxpZIy5CeeCEV9aa4+V5nwl2I6zF6mrcT6bK8ZXJWttHs62uayI8t9wzqnqwqknWtcAv+VPTo0xI4wxfY0xzY0xyThXOjwG7Mh33OU4F0EREZEgUZIlIlL+XI1zWNrvwJc4F7h4Cuhgrc0/BO+vOOdbzXX9GYVzvlB6vjqZwLPAOzjnWoUBPa21+YcUbgP+hXPxhUU4hyT+tajgrLXTgdtxLqKxFlgGDMbZ01MaKcD3OFf6+wpn8jcOZ5LYp5TnKpa1difO1Q6fxTkvanIx1V8H+hhjfPZ6WWu34OzR6oIzyT3ZRKsH+YYKuhwH/g/n3+cPOIdiXut+Bpgxpi7OeWsFF8MQEZEAMt7/T4qIiDgZYwYCk621PnttXHXG4Fwpr0VZxXUmMMZ8B0yx1r4bpPOHA/twJlDLS6qf77gXgDhr7eBgxCUiIk7qyRIREQm8uwju/7HxwN+BFaU8bh/OJfRFRCSI9IwMERGRALPW/kjhZeMDef59wDMncdwLQQhHREQK0HBBERERERGRANJwQRERERERkQBSkiUiIiIiIhJASrJEREREREQCSEmWiIiIiIhIACnJEhERERERCaD/B3/QSTCmaikuAAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "CCF_RV = L2['GREEN_CCF'].header['STARTV'] + \\\n", - " np.arange(L2['GREEN_CCF'].header['NAXIS1']) * L2['GREEN_CCF'].header['STEPV']\n", - "o = 18# order number\n", - "plt.figure(figsize=(12, 6), tight_layout=True)\n", - "plt.plot(CCF_RV, L2['GREEN_CCF'].data[0,o,:], color='g')\n", - "plt.plot(CCF_RV, L2['GREEN_CCF'].data[1,o,:], color='orange')\n", - "plt.plot(CCF_RV, L2['GREEN_CCF'].data[2,o,:], color='blue')\n", - "plt.legend(['GREEN_SCI_FLUX1', 'GREEN_SCI_FLUX2', 'GREEN_SCI_FLUX3'], fontsize=14, loc='best') \n", - "plt.xlabel('Doppler Shift (km/s)', fontsize=14)\n", - "plt.ylabel('Cross-Correlation Function', fontsize=14)\n", - "plt.xticks(fontsize=14)\n", - "plt.yticks(fontsize=14)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "ee842c5d", - "metadata": {}, - "source": [ - "Zoom in on the CCF peaks and mark the determined RVs for each slice" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "e6593b29", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=(12, 6), tight_layout=True)\n", - "plt.plot(CCF_RV, L2['GREEN_CCF'].data[0,o,:], '-o', color='g')\n", - "plt.plot(CCF_RV, L2['GREEN_CCF'].data[1,o,:], '-o', color='orange')\n", - "plt.plot(CCF_RV, L2['GREEN_CCF'].data[2,o,:], '-o', color='blue')\n", - "plt.axvline(x=L2['RV'].header['CCD1RV1'], color='g', label='CCD1RV1')\n", - "plt.axvline(x=L2['RV'].header['CCD1RV2'], color='orange', label='CCD1RV2')\n", - "plt.axvline(x=L2['RV'].header['CCD1RV3'], color='blue', label='CCD1RV3')\n", - "plt.legend(['GREEN_SCI_FLUX1', 'GREEN_SCI_FLUX2', 'GREEN_SCI_FLUX3'], fontsize=14, loc='best') \n", - "plt.xlim(-26,-6)\n", - "plt.xlabel('Doppler Shift (km/s)', fontsize=14)\n", - "plt.ylabel('Cross-Correlation Function', fontsize=14)\n", - "plt.xticks(fontsize=14)\n", - "plt.yticks(fontsize=14)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "0e4e92ab", - "metadata": {}, - "source": [ - "# RVs\n", - "The RV extension is below. Note that CCD1RV1, CCD1RV2, CCD1RV3 are the RVs for the three slices on the green CCD, while similar versions for CCD2 are for the Red CCD." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "2644f5e1", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "XTENSION= 'BINTABLE' / binary table extension \n", - "BITPIX = 8 / array data type \n", - "NAXIS = 2 / number of array dimensions \n", - "NAXIS1 = 133 / length of dimension 1 \n", - "NAXIS2 = 67 / length of dimension 2 \n", - "PCOUNT = 0 / number of group parameters \n", - "GCOUNT = 1 / number of groups \n", - "TFIELDS = 14 / number of table fields \n", - "STAR_RV = -16.597 \n", - "CCD1ROW = 0 \n", - "CCD1RV1 = -16.4964486965 / BaryC RV (km/s) \n", - "CCD1RV2 = -16.5914246799 / BaryC RV (km/s) \n", - "CCD1RV3 = -16.6457022282 / BaryC RV (km/s) \n", - "CCD1RV = -16.5853532683 / BaryC RV (km/s) \n", - "CCD1JD = 2459954.69258662 \n", - "CCD2ROW = 35 \n", - "CCD2RV1 = -17.1850137388 / BaryC RV (km/s) \n", - "CCD2RV2 = -16.2775775817 / BaryC RV (km/s) \n", - "CCD2RV3 = -16.9146750402 / BaryC RV (km/s) \n", - "CCD2RV = -16.7288769031 / BaryC RV (km/s) \n", - "CCD2JD = 2459954.69258662 \n", - "TTYPE1 = 'orderlet1' \n", - "TFORM1 = 'D ' \n", - "TTYPE2 = 'orderlet2' \n", - "TFORM2 = 'D ' \n", - "TTYPE3 = 'orderlet3' \n", - "TFORM3 = 'D ' \n", - "TTYPE4 = 's_wavelength' \n", - "TFORM4 = 'D ' \n", - "TTYPE5 = 'e_wavelength' \n", - "TFORM5 = 'D ' \n", - "TTYPE6 = 'segment no.' \n", - "TFORM6 = 'K ' \n", - "TTYPE7 = 'order no.' \n", - "TFORM7 = 'K ' \n", - "TTYPE8 = 'RV ' \n", - "TFORM8 = 'D ' \n", - "TTYPE9 = 'RV error' \n", - "TFORM9 = 'D ' \n", - "TTYPE10 = 'CCFJD ' \n", - "TFORM10 = 'D ' \n", - "TTYPE11 = 'Bary_RVC' \n", - "TFORM11 = 'D ' \n", - "TTYPE12 = 'source1 ' \n", - "TFORM12 = '15A ' \n", - "TTYPE13 = 'source2 ' \n", - "TFORM13 = '15A ' \n", - "TTYPE14 = 'source3 ' \n", - "TFORM14 = '15A ' \n", - "EXTNAME = 'RV ' / extension name " - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "L2['RV'].header" - ] - }, - { - "cell_type": "markdown", - "id": "0ad8215a", - "metadata": {}, - "source": [ - "Here is the telemetry section, which will be incorporated into the next section." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "db786dec", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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orderlet1orderlet2orderlet3s_wavelengthe_wavelengthsegment no.order no.RVRV errorCCFJDBary_RVCsource1source2source3
0-14.667295-14.370558-14.5803474505.8831114465.44773700-14.5220910.02.459955e+06-27.447883GREEN_SCI_FLUX1GREEN_SCI_FLUX2GREEN_SCI_FLUX3
1-16.357935-16.027360-16.2384534538.8136634497.98284711-16.1907840.02.459955e+06-27.447883GREEN_SCI_FLUX1GREEN_SCI_FLUX2GREEN_SCI_FLUX3
2-15.785628-15.401463-15.2533194572.5853954531.22376622-15.4563910.02.459955e+06-27.447883GREEN_SCI_FLUX1GREEN_SCI_FLUX2GREEN_SCI_FLUX3
3-25.820058-25.755219-25.8097104606.5354664564.89030733-25.7919270.02.459955e+06-27.447883GREEN_SCI_FLUX1GREEN_SCI_FLUX2GREEN_SCI_FLUX3
4-16.496334-16.625476-16.6751794641.1719524599.29158744-16.6086640.02.459955e+06-27.447883GREEN_SCI_FLUX1GREEN_SCI_FLUX2GREEN_SCI_FLUX3
.............................................
620.0000000.0000000.0000008226.2053038151.11183627270.0000000.02.459955e+06-27.447848RED_SCI_FLUX1RED_SCI_FLUX2RED_SCI_FLUX3
630.0000000.0000000.0000008337.2455838261.12816428280.0000000.02.459955e+06-27.447851RED_SCI_FLUX1RED_SCI_FLUX2RED_SCI_FLUX3
640.0000000.0000000.0000008451.7999568374.62413729290.0000000.02.459955e+06-27.447854RED_SCI_FLUX1RED_SCI_FLUX2RED_SCI_FLUX3
650.0000000.0000000.0000008568.5650998490.32112030300.0000000.02.459955e+06-27.447854RED_SCI_FLUX1RED_SCI_FLUX2RED_SCI_FLUX3
660.0000000.0000000.0000008689.1037438609.75574231310.0000000.02.459955e+06-27.447854RED_SCI_FLUX1RED_SCI_FLUX2RED_SCI_FLUX3
\n", - "

67 rows × 14 columns

\n", - "
" - ], - "text/plain": [ - " orderlet1 orderlet2 orderlet3 s_wavelength e_wavelength segment no. \\\n", - "0 -14.667295 -14.370558 -14.580347 4505.883111 4465.447737 0 \n", - "1 -16.357935 -16.027360 -16.238453 4538.813663 4497.982847 1 \n", - "2 -15.785628 -15.401463 -15.253319 4572.585395 4531.223766 2 \n", - "3 -25.820058 -25.755219 -25.809710 4606.535466 4564.890307 3 \n", - "4 -16.496334 -16.625476 -16.675179 4641.171952 4599.291587 4 \n", - ".. ... ... ... ... ... ... \n", - "62 0.000000 0.000000 0.000000 8226.205303 8151.111836 27 \n", - "63 0.000000 0.000000 0.000000 8337.245583 8261.128164 28 \n", - "64 0.000000 0.000000 0.000000 8451.799956 8374.624137 29 \n", - "65 0.000000 0.000000 0.000000 8568.565099 8490.321120 30 \n", - "66 0.000000 0.000000 0.000000 8689.103743 8609.755742 31 \n", - "\n", - " order no. RV RV error CCFJD Bary_RVC source1 \\\n", - "0 0 -14.522091 0.0 2.459955e+06 -27.447883 GREEN_SCI_FLUX1 \n", - "1 1 -16.190784 0.0 2.459955e+06 -27.447883 GREEN_SCI_FLUX1 \n", - "2 2 -15.456391 0.0 2.459955e+06 -27.447883 GREEN_SCI_FLUX1 \n", - "3 3 -25.791927 0.0 2.459955e+06 -27.447883 GREEN_SCI_FLUX1 \n", - "4 4 -16.608664 0.0 2.459955e+06 -27.447883 GREEN_SCI_FLUX1 \n", - ".. ... ... ... ... ... ... \n", - "62 27 0.000000 0.0 2.459955e+06 -27.447848 RED_SCI_FLUX1 \n", - "63 28 0.000000 0.0 2.459955e+06 -27.447851 RED_SCI_FLUX1 \n", - "64 29 0.000000 0.0 2.459955e+06 -27.447854 RED_SCI_FLUX1 \n", - "65 30 0.000000 0.0 2.459955e+06 -27.447854 RED_SCI_FLUX1 \n", - "66 31 0.000000 0.0 2.459955e+06 -27.447854 RED_SCI_FLUX1 \n", - "\n", - " source2 source3 \n", - "0 GREEN_SCI_FLUX2 GREEN_SCI_FLUX3 \n", - "1 GREEN_SCI_FLUX2 GREEN_SCI_FLUX3 \n", - "2 GREEN_SCI_FLUX2 GREEN_SCI_FLUX3 \n", - "3 GREEN_SCI_FLUX2 GREEN_SCI_FLUX3 \n", - "4 GREEN_SCI_FLUX2 GREEN_SCI_FLUX3 \n", - ".. ... ... \n", - "62 RED_SCI_FLUX2 RED_SCI_FLUX3 \n", - "63 RED_SCI_FLUX2 RED_SCI_FLUX3 \n", - "64 RED_SCI_FLUX2 RED_SCI_FLUX3 \n", - "65 RED_SCI_FLUX2 RED_SCI_FLUX3 \n", - "66 RED_SCI_FLUX2 RED_SCI_FLUX3 \n", - "\n", - "[67 rows x 14 columns]" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df_rv = Table.read(L2_data_dir + ObsIDs[0] + '_L2.fits', format='fits',hdu='RV').to_pandas()\n", - "str_columns = ['source1', 'source2', 'source3']\n", - "for column in df_rv:\n", - " if column in str_columns:\n", - " df_rv[column] = df_rv[column].str.decode('utf-8')\n", - "df_rv" - ] - }, - { - "cell_type": "markdown", - "id": "82532c02", - "metadata": {}, - "source": [ - "# Create L3 file with time series RVs\n", - "The L3 file is a collection of RVs, state information and telemetry from a series of L2 files. The example below builds the L3 file for the series of Tau Ceti observations and then displays ti." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "82c041b0", - "metadata": {}, - "outputs": [], - "source": [ - "rv_headers = ['JD', \n", - " 'CCD1RV', 'CCD2RV', \n", - " 'CCD1RV1', 'CCD1RV2', 'CCD1RV3', \n", - " 'CCD2RV1', 'CCD2RV2', 'CCD2RV3', \n", - " 'CCD1JD', 'CCD2JD']\n", - "headers = ['DATE-OBS', 'DATE-BEG', 'DATE-MID', 'DATE-END', 'UT', \n", - " 'TEXP',\n", - " 'GREEN', 'RED', 'CA_HK', 'EXPMETER', \n", - " 'TARGNAME', 'TELESCOP',\n", - " 'PROGNAME', 'OBSERVER', 'OBJECT', 'TARGNAME',\n", - " 'TARGRA', 'TARGDEC', 'RA', 'DEC', \n", - " 'OCTAGON', 'FIUMODE', 'ADCTRACK', 'HCLSN',\n", - " 'SRCSHTTR', 'TIMSHTTR', 'OTIMSHTR', \n", - " 'SCISEL', 'SKYSEL', 'FFSHTR', 'SCRAMSHT', 'SIMCALSH',\n", - " 'IMTYPE', 'CAL-OBJ', 'SKY-OBJ', 'SCI-OBJ',\n", - " 'CAFBS', 'EXPSCIFB', 'EXPSKYFB', 'FFFB', 'FICALFBS', 'SICALFB ', 'VACSCFB ', 'VACSKFB ', 'SCIFB', 'SKYFB',\n", - " 'GRACFFLN', 'RDACFFLN',\n", - " 'AGITSTA',\n", - " 'SSCALFW', 'SIMCALFW',\n", - " 'PRES', 'RELH', \n", - " 'RABASE', 'DECBASE','RA', 'DEC', 'EL', 'AZ', 'LST', 'AXESTAT', 'GUIDING', 'AUTACTIV',\n", - " 'AUTFWHM',\n", - " 'SECFOCUS', 'TELFOCUS', 'TUBEFLEX', 'TUBETEMP', 'PRIMTEMP', 'SECMTEMP', 'DIFFPTDW', 'DIFFSTDW', \n", - " 'VIGNETTE', 'STVIGNE', 'SBVIGNE', 'SBELEV', 'STELEV', \n", - " ]\n", - "headers_bool = ['GREEN', 'RED', 'CA_HK', 'EXPMETER'\n", - " 'CAFBS', 'EXPSCIFB', 'EXPSKYFB', 'FFFB', 'FICALFBS', 'SICALFB ', 'VACSCFB ', 'VACSKFB ', 'SCIFB', 'SKYFB',\n", - " 'AUTACTIV',\n", - " 'VIGNETTE', 'STVIGNE', 'SBVIGNE',\n", - " ]\n", - "headers_time = ['DATE-OBS', 'DATE-BEG', 'DATE-MID', 'DATE-END']\n", - "headers_f64 = ['CCD1JD', 'CCD2JD']\n", - "all_columns = ['obsID'] + rv_headers + headers\n", - "\n", - "#To-do: add RV uncertainties, activity metrics, and additional telemetry (temperatures, etc.)\n", - "\n", - "L3 = pd.DataFrame(columns=all_columns, index=range(1, len(ObsIDs)))\n", - "for i in range(len(ObsIDs)):\n", - " L3.at[i,'obsID'] = ObsIDs[i]\n", - " with fits.open(L2_data_dir + ObsIDs[i] + '_L2.fits') as L2:\n", - " for h in headers:\n", - " if h in headers_bool:\n", - " if (L2['PRIMARY'].header[h] == 'YES') or (L2['PRIMARY'].header[h] == 'Yes') or (L2['PRIMARY'].header[h] == 'yes') or (L2['PRIMARY'].header[h] == 'true'):\n", - " L3.at[i,h] = True\n", - " if (L2['PRIMARY'].header[h] == 'NO') or (L2['PRIMARY'].header[h] == 'No') or (L2['PRIMARY'].header[h] == 'no') or (L2['PRIMARY'].header[h] == 'false'):\n", - " L3.at[i,h] = False\n", - " elif h in headers_time:\n", - " L3.at[i,h] = Time(L2['PRIMARY'].header[h], format='isot', scale='utc')\n", - " elif h == 'TEXP':\n", - " (L3.at[0,'DATE-END'] - L3.at[0,'DATE-BEG']).sec\n", - " else:\n", - " L3.at[i,h] = L2['PRIMARY'].header[h]\n", - " for h in rv_headers:\n", - " if h == 'JD':\n", - " if L3.at[i,'GREEN']:\n", - " L3.at[i,h] = np.float64(L2['RV'].header['CCD1JD'])\n", - " if L3.at[i,'RED']:\n", - " L3.at[i,h] = np.float64(L2['RV'].header['CCD2JD'])\n", - " elif h in headers_f64:\n", - " L3.at[i,h] = np.float64(L2['RV'].header[h])\n", - " else:\n", - " L3.at[i,h] = L2['RV'].header[h]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "090949a0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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obsIDJDCCD1RVCCD2RVCCD1RV1CCD1RV2CCD1RV3CCD2RV1CCD2RV2CCD2RV3...TUBETEMPPRIMTEMPSECMTEMPDIFFPTDWDIFFSTDWVIGNETTESTVIGNESBVIGNESBELEVSTELEV
0KP.20230110.16623.722459954.692587-16.585353-16.728877-16.496449-16.591425-16.645702-17.185014-16.277578-16.914675...2.392.0425752.16958431.74257531.769584FalseFalseFalse23.98104.01
1KP.20230110.16803.312459954.694665-16.583159-16.729211-16.493994-16.589117-16.643846-17.184929-16.277798-16.9152...2.382.0199672.06962631.91996731.969626FalseFalseFalse23.98104.01
2KP.20230110.16986.842459954.696782-16.584377-16.728139-16.495132-16.590903-16.644465-17.183856-16.277265-16.913679...2.332.0293191.99178331.92931931.891783FalseFalseFalse23.98104.01
3KP.20230110.17094.842459954.698035-16.581968-16.729253-16.492783-16.588338-16.6422-17.184946-16.278056-16.914516...2.342.0206541.99178331.62065431.491783FalseFalseFalse23.98104.01
4KP.20230110.17186.852459954.699099-16.584495-16.729022-16.495813-16.590788-16.644448-17.18519-16.2776-16.91432...2.322.0260851.98205332.72608532.682053FalseFalseFalse23.98104.01
5KP.20230110.17279.122459954.700168-16.591628-16.72818-16.502983-16.597813-16.651663-17.184077-16.277782-16.914636...2.292.0291221.97851533.02912232.978515FalseFalseFalse23.98104.01
6KP.20230110.17371.412459954.701237-16.590533-16.728859-16.501783-16.596878-16.650447-17.185047-16.278163-16.915102...2.292.0649391.8927132.66493932.49271FalseFalseFalse23.98104.01
7KP.20230110.17463.292459954.702299-16.590101-16.72839-16.501853-16.596208-16.649906-17.184939-16.277577-16.914709...2.292.0297921.87590332.92979232.775903FalseFalseFalse23.98104.01
8KP.20230110.17580.342459954.703654-16.583366-16.72922-16.494517-16.589604-16.643495-17.184119-16.27845-16.914934...2.252.0324341.85555833.33243433.155558FalseFalseFalse23.98104.01
9KP.20230110.17672.602459954.704722-16.586729-16.728562-16.497864-16.592944-16.646888-17.184767-16.277349-16.914209...2.252.0286211.81486732.82862132.514867FalseFalseFalse23.98104.01
10KP.20230110.17764.892459954.70579-16.585602-16.728953-16.49665-16.591723-16.645903-17.184747-16.277705-16.915195...2.222.0423061.79629133.44230633.196291FalseFalseFalse23.98104.01
11KP.20230110.17856.972459954.706855-16.583152-16.730229-16.494366-16.589059-16.643587-17.185683-16.278486-16.916435...2.212.0245311.80602132.92453132.706021FalseFalseFalse23.98104.01
12KP.20230110.17949.222459954.707923-16.58432-16.72906-16.49583-16.590152-16.644617-17.185094-16.277611-16.914655...2.212.0411051.7343732.94110532.63437FalseFalseFalse23.98104.01
13KP.20230110.18179.542459954.710589-16.58178-16.729235-16.492407-16.58814-16.64217-17.185386-16.27781-16.914723...2.162.038051.72552431.5380531.225524FalseFalseFalse23.98104.01
14KP.20230110.18271.752459954.711656-16.58313-16.72954-16.493781-16.589197-16.643775-17.184877-16.278594-16.914729...2.152.0281831.6397232.22818331.83972FalseFalseFalse23.98104.01
15KP.20230110.18363.652459954.712721-16.582045-16.729361-16.493035-16.588146-16.642404-17.184745-16.278591-16.914226...2.152.0209851.59637631.82098531.396376FalseFalseFalse23.98104.01
16KP.20230110.18455.802459954.713787-16.581068-16.730119-16.49181-16.587402-16.641383-17.185744-16.278655-16.915466...2.122.0191121.62202831.61911231.222028FalseFalseFalse23.98104.01
17KP.20230110.18547.962459954.714854-16.581984-16.729576-16.49309-16.588206-16.642114-17.184903-16.278062-16.915427...2.12.0119481.53622432.61194832.136224FalseFalseFalse23.98104.01
18KP.20230110.18640.142459954.71592-16.582457-16.729342-16.493414-16.588736-16.64266-17.183931-16.278837-16.914921...2.112.0229131.5026133.52291333.00261FalseFalseFalse23.98104.01
19KP.20230110.18732.022459954.716984-16.58251-16.729896-16.493812-16.588584-16.642677-17.185192-16.278902-16.915323...2.092.031781.50084134.0317833.600841FalseFalseFalse23.98104.01
20KP.20230110.18823.972459954.718048-16.583076-16.729131-16.494105-16.589444-16.643095-17.185018-16.278327-16.913991...2.082.011271.48314934.5112733.983149FalseFalseFalse23.98104.01
21KP.20230110.18916.312459954.719116-16.58472-16.72971-16.495895-16.590824-16.644947-17.186572-16.278696-16.914599...2.072.031451.4389234.5314533.83892FalseFalseFalse23.98104.01
22KP.20230110.19440.982459954.725189-16.583024-16.729234-16.49392-16.589373-16.643201-17.185251-16.278054-16.914259...2.02.0228591.34515534.32285933.545155FalseFalseFalse23.98104.01
23KP.20230110.19533.162459954.726256-16.583523-16.728935-16.494546-16.58974-16.643728-17.183844-16.278015-16.914699...1.992.0118021.32392534.31180233.723925FalseFalseFalse23.98104.01
24KP.20230110.19625.302459954.727322-16.586753-16.730421-16.497797-16.593093-16.64683-17.186316-16.279511-16.915877...1.972.0234811.31507934.82348134.115079FalseFalseFalse23.98104.01
25KP.20230110.19717.192459954.728386-16.583053-16.728649-16.493576-16.589619-16.643271-17.183901-16.277587-16.914269...1.962.0223011.26465834.82230133.864658FalseFalseFalse23.98104.01
26KP.20230110.19809.152459954.729451-16.584398-16.730675-16.494997-16.590852-16.644669-17.186596-16.278929-16.916308...1.962.0354421.25138934.63544233.751389FalseFalseFalse23.98104.01
27KP.20230110.19901.192459954.730515-16.584161-16.730171-16.494961-16.590387-16.644522-17.186441-16.278959-16.914979...1.942.0273661.24696634.82736633.946966FalseFalseFalse23.98104.01
28KP.20230110.19993.432459954.731584-16.584828-16.729079-16.495445-16.591071-16.645289-17.18519-16.277999-16.914004...1.922.0161921.25138934.71619233.951389FalseFalseFalse23.98104.01
29KP.20230110.20085.432459954.732649-16.588626-16.730867-16.499556-16.594846-16.648878-17.185848-16.280165-16.916673...1.922.0343021.19831435.03430234.198314FalseFalseFalse23.98104.01
30KP.20230110.20177.432459954.733713-16.586157-16.729713-16.49671-16.592678-16.646365-17.185857-16.278541-16.915062...1.912.0286571.20273735.52865734.702737FalseFalseFalse23.98104.01
31KP.20230110.20377.952459954.736033-16.585375-16.729351-16.496212-16.591657-16.645657-17.185538-16.27799-16.914679...1.862.0340391.15320134.83403933.853201FalseFalseFalse23.98104.01
32KP.20230110.20470.202459954.737101-16.584817-16.728998-16.495631-16.59116-16.645047-17.184686-16.277588-16.9144...1.872.0288581.10808734.72885833.808087FalseFalseFalse23.98104.01
33KP.20230110.20562.482459954.738169-16.587568-16.729865-16.498611-16.59389-16.647619-17.186526-16.279577-16.913922...1.872.0355691.10631834.33556933.406318FalseFalseFalse23.98104.01
34KP.20230110.20654.182459954.739231-16.586172-16.729336-16.49782-16.592309-16.646013-17.185386-16.278009-16.914952...1.862.0252931.10543334.22529333.305433FalseFalseFalse23.98104.01
\n", - "

35 rows × 89 columns

\n", - "
" - ], - "text/plain": [ - " obsID JD CCD1RV CCD2RV CCD1RV1 \\\n", - "0 KP.20230110.16623.72 2459954.692587 -16.585353 -16.728877 -16.496449 \n", - "1 KP.20230110.16803.31 2459954.694665 -16.583159 -16.729211 -16.493994 \n", - "2 KP.20230110.16986.84 2459954.696782 -16.584377 -16.728139 -16.495132 \n", - "3 KP.20230110.17094.84 2459954.698035 -16.581968 -16.729253 -16.492783 \n", - "4 KP.20230110.17186.85 2459954.699099 -16.584495 -16.729022 -16.495813 \n", - "5 KP.20230110.17279.12 2459954.700168 -16.591628 -16.72818 -16.502983 \n", - "6 KP.20230110.17371.41 2459954.701237 -16.590533 -16.728859 -16.501783 \n", - "7 KP.20230110.17463.29 2459954.702299 -16.590101 -16.72839 -16.501853 \n", - "8 KP.20230110.17580.34 2459954.703654 -16.583366 -16.72922 -16.494517 \n", - "9 KP.20230110.17672.60 2459954.704722 -16.586729 -16.728562 -16.497864 \n", - "10 KP.20230110.17764.89 2459954.70579 -16.585602 -16.728953 -16.49665 \n", - "11 KP.20230110.17856.97 2459954.706855 -16.583152 -16.730229 -16.494366 \n", - "12 KP.20230110.17949.22 2459954.707923 -16.58432 -16.72906 -16.49583 \n", - "13 KP.20230110.18179.54 2459954.710589 -16.58178 -16.729235 -16.492407 \n", - "14 KP.20230110.18271.75 2459954.711656 -16.58313 -16.72954 -16.493781 \n", - "15 KP.20230110.18363.65 2459954.712721 -16.582045 -16.729361 -16.493035 \n", - "16 KP.20230110.18455.80 2459954.713787 -16.581068 -16.730119 -16.49181 \n", - "17 KP.20230110.18547.96 2459954.714854 -16.581984 -16.729576 -16.49309 \n", - "18 KP.20230110.18640.14 2459954.71592 -16.582457 -16.729342 -16.493414 \n", - "19 KP.20230110.18732.02 2459954.716984 -16.58251 -16.729896 -16.493812 \n", - "20 KP.20230110.18823.97 2459954.718048 -16.583076 -16.729131 -16.494105 \n", - "21 KP.20230110.18916.31 2459954.719116 -16.58472 -16.72971 -16.495895 \n", - "22 KP.20230110.19440.98 2459954.725189 -16.583024 -16.729234 -16.49392 \n", - "23 KP.20230110.19533.16 2459954.726256 -16.583523 -16.728935 -16.494546 \n", - "24 KP.20230110.19625.30 2459954.727322 -16.586753 -16.730421 -16.497797 \n", - "25 KP.20230110.19717.19 2459954.728386 -16.583053 -16.728649 -16.493576 \n", - "26 KP.20230110.19809.15 2459954.729451 -16.584398 -16.730675 -16.494997 \n", - "27 KP.20230110.19901.19 2459954.730515 -16.584161 -16.730171 -16.494961 \n", - "28 KP.20230110.19993.43 2459954.731584 -16.584828 -16.729079 -16.495445 \n", - "29 KP.20230110.20085.43 2459954.732649 -16.588626 -16.730867 -16.499556 \n", - "30 KP.20230110.20177.43 2459954.733713 -16.586157 -16.729713 -16.49671 \n", - "31 KP.20230110.20377.95 2459954.736033 -16.585375 -16.729351 -16.496212 \n", - "32 KP.20230110.20470.20 2459954.737101 -16.584817 -16.728998 -16.495631 \n", - "33 KP.20230110.20562.48 2459954.738169 -16.587568 -16.729865 -16.498611 \n", - "34 KP.20230110.20654.18 2459954.739231 -16.586172 -16.729336 -16.49782 \n", - "\n", - " CCD1RV2 CCD1RV3 CCD2RV1 CCD2RV2 CCD2RV3 ... TUBETEMP \\\n", - "0 -16.591425 -16.645702 -17.185014 -16.277578 -16.914675 ... 2.39 \n", - "1 -16.589117 -16.643846 -17.184929 -16.277798 -16.9152 ... 2.38 \n", - "2 -16.590903 -16.644465 -17.183856 -16.277265 -16.913679 ... 2.33 \n", - "3 -16.588338 -16.6422 -17.184946 -16.278056 -16.914516 ... 2.34 \n", - "4 -16.590788 -16.644448 -17.18519 -16.2776 -16.91432 ... 2.32 \n", - "5 -16.597813 -16.651663 -17.184077 -16.277782 -16.914636 ... 2.29 \n", - "6 -16.596878 -16.650447 -17.185047 -16.278163 -16.915102 ... 2.29 \n", - "7 -16.596208 -16.649906 -17.184939 -16.277577 -16.914709 ... 2.29 \n", - "8 -16.589604 -16.643495 -17.184119 -16.27845 -16.914934 ... 2.25 \n", - "9 -16.592944 -16.646888 -17.184767 -16.277349 -16.914209 ... 2.25 \n", - "10 -16.591723 -16.645903 -17.184747 -16.277705 -16.915195 ... 2.22 \n", - "11 -16.589059 -16.643587 -17.185683 -16.278486 -16.916435 ... 2.21 \n", - "12 -16.590152 -16.644617 -17.185094 -16.277611 -16.914655 ... 2.21 \n", - "13 -16.58814 -16.64217 -17.185386 -16.27781 -16.914723 ... 2.16 \n", - "14 -16.589197 -16.643775 -17.184877 -16.278594 -16.914729 ... 2.15 \n", - "15 -16.588146 -16.642404 -17.184745 -16.278591 -16.914226 ... 2.15 \n", - "16 -16.587402 -16.641383 -17.185744 -16.278655 -16.915466 ... 2.12 \n", - "17 -16.588206 -16.642114 -17.184903 -16.278062 -16.915427 ... 2.1 \n", - "18 -16.588736 -16.64266 -17.183931 -16.278837 -16.914921 ... 2.11 \n", - "19 -16.588584 -16.642677 -17.185192 -16.278902 -16.915323 ... 2.09 \n", - "20 -16.589444 -16.643095 -17.185018 -16.278327 -16.913991 ... 2.08 \n", - "21 -16.590824 -16.644947 -17.186572 -16.278696 -16.914599 ... 2.07 \n", - "22 -16.589373 -16.643201 -17.185251 -16.278054 -16.914259 ... 2.0 \n", - "23 -16.58974 -16.643728 -17.183844 -16.278015 -16.914699 ... 1.99 \n", - "24 -16.593093 -16.64683 -17.186316 -16.279511 -16.915877 ... 1.97 \n", - "25 -16.589619 -16.643271 -17.183901 -16.277587 -16.914269 ... 1.96 \n", - "26 -16.590852 -16.644669 -17.186596 -16.278929 -16.916308 ... 1.96 \n", - "27 -16.590387 -16.644522 -17.186441 -16.278959 -16.914979 ... 1.94 \n", - "28 -16.591071 -16.645289 -17.18519 -16.277999 -16.914004 ... 1.92 \n", - "29 -16.594846 -16.648878 -17.185848 -16.280165 -16.916673 ... 1.92 \n", - "30 -16.592678 -16.646365 -17.185857 -16.278541 -16.915062 ... 1.91 \n", - "31 -16.591657 -16.645657 -17.185538 -16.27799 -16.914679 ... 1.86 \n", - "32 -16.59116 -16.645047 -17.184686 -16.277588 -16.9144 ... 1.87 \n", - "33 -16.59389 -16.647619 -17.186526 -16.279577 -16.913922 ... 1.87 \n", - "34 -16.592309 -16.646013 -17.185386 -16.278009 -16.914952 ... 1.86 \n", - "\n", - " PRIMTEMP SECMTEMP DIFFPTDW DIFFSTDW VIGNETTE STVIGNE SBVIGNE SBELEV \\\n", - "0 2.042575 2.169584 31.742575 31.769584 False False False 23.98 \n", - "1 2.019967 2.069626 31.919967 31.969626 False False False 23.98 \n", - "2 2.029319 1.991783 31.929319 31.891783 False False False 23.98 \n", - "3 2.020654 1.991783 31.620654 31.491783 False False False 23.98 \n", - "4 2.026085 1.982053 32.726085 32.682053 False False False 23.98 \n", - "5 2.029122 1.978515 33.029122 32.978515 False False False 23.98 \n", - "6 2.064939 1.89271 32.664939 32.49271 False False False 23.98 \n", - "7 2.029792 1.875903 32.929792 32.775903 False False False 23.98 \n", - "8 2.032434 1.855558 33.332434 33.155558 False False False 23.98 \n", - "9 2.028621 1.814867 32.828621 32.514867 False False False 23.98 \n", - "10 2.042306 1.796291 33.442306 33.196291 False False False 23.98 \n", - "11 2.024531 1.806021 32.924531 32.706021 False False False 23.98 \n", - "12 2.041105 1.73437 32.941105 32.63437 False False False 23.98 \n", - "13 2.03805 1.725524 31.53805 31.225524 False False False 23.98 \n", - "14 2.028183 1.63972 32.228183 31.83972 False False False 23.98 \n", - "15 2.020985 1.596376 31.820985 31.396376 False False False 23.98 \n", - "16 2.019112 1.622028 31.619112 31.222028 False False False 23.98 \n", - "17 2.011948 1.536224 32.611948 32.136224 False False False 23.98 \n", - "18 2.022913 1.50261 33.522913 33.00261 False False False 23.98 \n", - "19 2.03178 1.500841 34.03178 33.600841 False False False 23.98 \n", - "20 2.01127 1.483149 34.51127 33.983149 False False False 23.98 \n", - "21 2.03145 1.43892 34.53145 33.83892 False False False 23.98 \n", - "22 2.022859 1.345155 34.322859 33.545155 False False False 23.98 \n", - "23 2.011802 1.323925 34.311802 33.723925 False False False 23.98 \n", - "24 2.023481 1.315079 34.823481 34.115079 False False False 23.98 \n", - "25 2.022301 1.264658 34.822301 33.864658 False False False 23.98 \n", - "26 2.035442 1.251389 34.635442 33.751389 False False False 23.98 \n", - "27 2.027366 1.246966 34.827366 33.946966 False False False 23.98 \n", - "28 2.016192 1.251389 34.716192 33.951389 False False False 23.98 \n", - "29 2.034302 1.198314 35.034302 34.198314 False False False 23.98 \n", - "30 2.028657 1.202737 35.528657 34.702737 False False False 23.98 \n", - "31 2.034039 1.153201 34.834039 33.853201 False False False 23.98 \n", - "32 2.028858 1.108087 34.728858 33.808087 False False False 23.98 \n", - "33 2.035569 1.106318 34.335569 33.406318 False False False 23.98 \n", - "34 2.025293 1.105433 34.225293 33.305433 False False False 23.98 \n", - "\n", - " STELEV \n", - "0 104.01 \n", - "1 104.01 \n", - "2 104.01 \n", - "3 104.01 \n", - "4 104.01 \n", - "5 104.01 \n", - "6 104.01 \n", - "7 104.01 \n", - "8 104.01 \n", - "9 104.01 \n", - "10 104.01 \n", - "11 104.01 \n", - "12 104.01 \n", - "13 104.01 \n", - "14 104.01 \n", - "15 104.01 \n", - "16 104.01 \n", - "17 104.01 \n", - "18 104.01 \n", - "19 104.01 \n", - "20 104.01 \n", - "21 104.01 \n", - "22 104.01 \n", - "23 104.01 \n", - "24 104.01 \n", - "25 104.01 \n", - "26 104.01 \n", - "27 104.01 \n", - "28 104.01 \n", - "29 104.01 \n", - "30 104.01 \n", - "31 104.01 \n", - "32 104.01 \n", - "33 104.01 \n", - "34 104.01 \n", - "\n", - "[35 rows x 89 columns]" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "L3 = L3.sort_values(by=['JD'])\n", - "L3" - ] - }, - { - "cell_type": "markdown", - "id": "169466e2", - "metadata": {}, - "source": [ - "Bin velocites in a p-mode time (323 seconds)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "0c8d5049", - "metadata": {}, - "outputs": [], - "source": [ - "t_bin, CCD2RV_bin, CCD2ERRRV_bin = timebin((L3.JD - min(L3.JD))*24*60,\n", - " (L3.CCD2RV - np.median(L3.CCD2RV))*1000*100,\n", - " (L3.CCD2RV - np.median(L3.CCD2RV))*0+1,\n", - " 323/60)" - ] - }, - { - "cell_type": "markdown", - "id": "1d2a5c73", - "metadata": {}, - "source": [ - "# Plot KPF RV time series" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "db842b34", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "L3old = L3\n", - "L3=L3old.where(L3old.CCD2RV2 < 100)\n", - "plt.figure(figsize=(12, 6), tight_layout=True)\n", - "plt.plot()\n", - "plt.scatter((L3.JD - min(L3.JD))*24*60, \n", - " (L3.CCD2RV - np.median(L3.CCD2RV))*1000*100, \n", - " marker=\"o\", color='darkred', s=10)\n", - "plt.scatter((L3.JD - min(L3.JD))*24*60, \n", - " (L3.CCD2RV1 - np.median(L3.CCD2RV1))*1000*100, \n", - " marker=\"<\", color='lightcoral', s=10)\n", - "plt.scatter((L3.JD - min(L3.JD))*24*60, \n", - " (L3.CCD2RV2 - np.median(L3.CCD2RV2))*1000*100, \n", - " marker=\"s\", color='lightcoral', s=10)\n", - "plt.scatter((L3.JD - min(L3.JD))*24*60, \n", - " (L3.CCD2RV3 - np.median(L3.CCD2RV3))*1000*100, \n", - " marker=\">\", color='lightcoral', s=10)\n", - "plt.scatter(t_bin, \n", - " CCD2RV_bin, \n", - " marker=\"o\", color='darkred', s=100)\n", - "plt.legend([\n", - " 'RED (CCD2RV), ' + str(int(np.std(L3.CCD2RV*1000*100))) + ' cm/s RMS',\n", - " 'RED1 (CCD2RV1), ' + str(int(np.std(L3.CCD2RV1*1000*100))) + ' cm/s RMS', \n", - " 'RED2 (CCD2RV2), ' + str(int(np.std(L3.CCD2RV2*1000*100))) + ' cm/s RMS', \n", - " 'RED3 (CCD2RV3), ' + str(int(np.std(L3.CCD2RV3*1000*100))) + ' cm/s RMS',\n", - " ], fontsize=14, loc='best') \n", - "plt.xlabel('Minutes since ' + str(min(L3.JD)), fontsize=14)\n", - "plt.ylabel('RV (cm/s)', fontsize=14)\n", - "plt.xticks(fontsize=14)\n", - "plt.yticks(fontsize=14)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "920d6ce1", - "metadata": {}, - "source": [ - "Same thinge for Green CCD, which currently has problems with the wavelength solution for certain orders." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "a7ea00e4", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "t_bin, CCD1RV_bin, CCD1ERRRV_bin = timebin((L3.JD - min(L3.JD))*24*60,\n", - " (L3.CCD1RV - np.median(L3.CCD1RV))*1000*100,\n", - " (L3.CCD1RV - np.median(L3.CCD1RV))*0+1,\n", - " 323/60)\n", - "\n", - "L3old = L3\n", - "#L3=L3old.where(L3old.CCD1RV2 < 100)\n", - "plt.figure(figsize=(12, 6), tight_layout=True)\n", - "plt.plot()\n", - "plt.scatter((L3.JD - min(L3.JD))*24*60, \n", - " (L3.CCD1RV - np.median(L3.CCD1RV))*1000*100, \n", - " marker=\"o\", color='forestgreen', s=10)\n", - "plt.scatter((L3.JD - min(L3.JD))*24*60, \n", - " (L3.CCD1RV1 - np.median(L3.CCD1RV1))*1000*100, \n", - " marker=\"<\", color='yellowgreen', s=10)\n", - "plt.scatter((L3.JD - min(L3.JD))*24*60, \n", - " (L3.CCD1RV2 - np.median(L3.CCD1RV2))*1000*100, \n", - " marker=\"s\", color='yellowgreen', s=10)\n", - "plt.scatter((L3.JD - min(L3.JD))*24*60, \n", - " (L3.CCD1RV3 - np.median(L3.CCD1RV3))*1000*100, \n", - " marker=\">\", color='yellowgreen', s=10)\n", - "plt.scatter(t_bin, \n", - " CCD1RV_bin, \n", - " marker=\"o\", color='forestgreen', s=100)\n", - "plt.legend([\n", - " 'RED (CCD2RV), ' + str(int(np.std(L3.CCD1RV*1000*100))) + ' cm/s RMS',\n", - " 'RED1 (CCD2RV1), ' + str(int(np.std(L3.CCD1RV1*1000*100))) + ' cm/s RMS', \n", - " 'RED2 (CCD2RV2), ' + str(int(np.std(L3.CCD1RV2*1000*100))) + ' cm/s RMS', \n", - " 'RED3 (CCD2RV3), ' + str(int(np.std(L3.CCD1RV3*1000*100))) + ' cm/s RMS',\n", - " ], fontsize=14, loc='best') \n", - "plt.xlabel('Minutes since ' + str(min(L3.JD)), fontsize=14)\n", - "plt.ylabel('RV (cm/s)', fontsize=14)\n", - "plt.xticks(fontsize=14)\n", - "plt.yticks(fontsize=14)\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.18" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From 8626d9114152b89224d4d9e67b3fb4a30a388b5d Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 17:17:11 -0700 Subject: [PATCH 36/84] Updated file name --- docs/source/data_exploration/start.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/data_exploration/start.rst b/docs/source/data_exploration/start.rst index 699a6cbe2..dd9e0ca64 100644 --- a/docs/source/data_exploration/start.rst +++ b/docs/source/data_exploration/start.rst @@ -9,5 +9,5 @@ Tutorials: Opening, Examining, and Manipulating KPF Files ../tutorials/KPF_Data_Tutorial_L0_and_2D ../tutorials/KPF_Data_Tutorial_L1 - ../tutorials/KPF_Data_Tutorial_L2_Time_Series + ../tutorials/KPF_Data_Tutorial_L2 ../tutorials/KPF_Data_Tutorial_2D_and_Ion_Pumps From 4bbfbcba3261b8bc5fc595537c2c4e476532a1db Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 17:20:21 -0700 Subject: [PATCH 37/84] deleted unneeded files --- docs/source/data_exploration/tutorial_2D_ion_pump.rst | 7 ------- docs/source/data_exploration/tutorial_L0.rst | 8 -------- docs/source/data_exploration/tutorial_L1.rst | 8 -------- docs/source/data_exploration/tutorial_L2.rst | 7 ------- 4 files changed, 30 deletions(-) delete mode 100644 docs/source/data_exploration/tutorial_2D_ion_pump.rst delete mode 100644 docs/source/data_exploration/tutorial_L0.rst delete mode 100644 docs/source/data_exploration/tutorial_L1.rst delete mode 100644 docs/source/data_exploration/tutorial_L2.rst diff --git a/docs/source/data_exploration/tutorial_2D_ion_pump.rst b/docs/source/data_exploration/tutorial_2D_ion_pump.rst deleted file mode 100644 index 654a4f901..000000000 --- a/docs/source/data_exploration/tutorial_2D_ion_pump.rst +++ /dev/null @@ -1,7 +0,0 @@ -Manipulating 2D images to diagnose a problem with the ion pumps -=============================================================== - -.. toctree:: - :maxdepth: 0 - - ../tutorials/KPF_Data_Tutorial_2D_and_Ion_Pumps.ipynb diff --git a/docs/source/data_exploration/tutorial_L0.rst b/docs/source/data_exploration/tutorial_L0.rst deleted file mode 100644 index 57c3a9ef5..000000000 --- a/docs/source/data_exploration/tutorial_L0.rst +++ /dev/null @@ -1,8 +0,0 @@ -Reading L0/2D files and examining the data products -=================================================== - -.. toctree:: - :maxdepth: 0 - - ../tutorials/KPF_Data_Tutorial_L0_and_2D.ipynb - diff --git a/docs/source/data_exploration/tutorial_L1.rst b/docs/source/data_exploration/tutorial_L1.rst deleted file mode 100644 index b41fbf3d4..000000000 --- a/docs/source/data_exploration/tutorial_L1.rst +++ /dev/null @@ -1,8 +0,0 @@ -Reading L1 files and examining the data products -================================================ - -.. toctree:: - :maxdepth: 0 - - ../tutorials/KPF_Data_Tutorial_L1.ipynb - diff --git a/docs/source/data_exploration/tutorial_L2.rst b/docs/source/data_exploration/tutorial_L2.rst deleted file mode 100644 index 1944c7ae7..000000000 --- a/docs/source/data_exploration/tutorial_L2.rst +++ /dev/null @@ -1,7 +0,0 @@ -Plotting KPF RV time series -=========================== - -.. toctree:: - :maxdepth: 0 - - ../tutorials/KPF_Data_Tutorial_L2_Time_Series.ipynb From a287f74d327fcfc706c4cce817f319ffdaf8535c Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 17:25:09 -0700 Subject: [PATCH 38/84] more ToC --- .../KPF_Data_Tutorial_Quality_Control.ipynb | 29 ++++--------------- 1 file changed, 6 insertions(+), 23 deletions(-) diff --git a/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb b/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb index 053119578..627a06932 100644 --- a/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb +++ b/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "5b4ca3fa", + "id": "20266e68", "metadata": {}, "source": [ "# Quality Control" @@ -13,28 +13,13 @@ "id": "635b80ed", "metadata": {}, "source": [ - "The KPF DRP has several Quality Control (QC) methods that can be run on the L0, 2D, L1, and 2D objects. \n", - "The usual application of QC tests is executing them during normal processing in the main recipe. \n", - "The QC methods are defined in the ``QCDefinitions`` class in ``modules/quality_control/src/quality_control.py``.\n", - "The results of these QC checks are added to the primary headers of kpf objects, which are written to 2D, L1, and L2 FITS files (but not the L0 files, which, with rare exceptions, are not modified after data collection at WMKO). \n", - "The FITS header keywords for QC tests produce are defined in :doc:`data_format`. \n", - "One can find the QC tests on the command line using a command like \n", + "The KPF DRP has several Quality Control (QC) methods that can be run on the L0, 2D, L1, and 2D objects. The usual application of QC tests is executing them during normal processing in the main recipe. The QC methods are defined in the ``QCDefinitions`` class in ``modules/quality_control/src/quality_control.py``. The results of these QC checks are added to the primary headers of kpf objects, which are written to 2D, L1, and L2 FITS files (but not the L0 files, which, with rare exceptions, are not modified after data collection at WMKO). The FITS header keywords for QC tests produce are defined in :doc:`data_format`. One can find the QC tests on the command line using a command like \n", "\n", "``fitsheader -e 0 /data/kpf/L2/20230701/KP.20230701.49940.99_L2.fits | grep QC:``\n", "\n", "The KPF DRP has several Quality Control (QC) methods that can be run on the L0, 2D, L1, and 2D objects. The QC tests are run during normal processing in the main recipe. The results of these QC checks are added to the primary headers of kpf objects, which are written to 2D, L1, and L2 FITS files (but not the L0 files, which with rare exceptions are not modified after data collection at WMKO). The QC methods are defined in the `QCDefinitions` class in `modules/quality_control/src/quality_control.py`." ] }, - { - "cell_type": "markdown", - "id": "197ede5c", - "metadata": {}, - "source": [ - "### List QC Methods\n", - "\n", - "The FITS header keywords produced by QC tests are defined in KPF Data Format. The `QCDefinitions.list_qc_metrics ()` method produces a list of QC tests and their characteristics (including the primary header keywords), as shown below. Note that some QC tests are applied to multiple KPF data levels and spectrum types." - ] - }, { "cell_type": "code", "execution_count": 1, @@ -287,17 +272,16 @@ }, { "cell_type": "markdown", - "id": "867e8ce6", + "id": "77b076fc", "metadata": {}, "source": [ - "### Run QC tests for one data level on a single KPF observation\n", "The method `test_all_QCs(kpf_object, data_level)` runs the QC tests on a kpf_object for the stated data_level." ] }, { "cell_type": "code", "execution_count": 2, - "id": "7f5c2637", + "id": "c807ac3d", "metadata": {}, "outputs": [ { @@ -331,17 +315,16 @@ }, { "cell_type": "markdown", - "id": "0b635240", + "id": "960c753b", "metadata": {}, "source": [ - "### Run all QC tests on all data levels of several KPF observations\n", "Now loop over data levels and obserations" ] }, { "cell_type": "code", "execution_count": 3, - "id": "7e7a0b43", + "id": "9c21f362", "metadata": {}, "outputs": [ { From 2c76cd47e1160360831ee85b571bab6b5b5364b1 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 29 May 2024 17:32:03 -0700 Subject: [PATCH 39/84] Dropped new requirement --- requirements.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 2e0f3173f..5bb9b1ffe 100644 --- a/requirements.txt +++ b/requirements.txt @@ -23,7 +23,6 @@ sphinx sphinx-rtd-theme sphinxcontrib-napoleon nbsphinx -nbsphinx_link pandoc ipython pygments From dcb411b91c95d8cca7f62b3a55f4221701512728 Mon Sep 17 00:00:00 2001 From: BJ Fulton Date: Thu, 30 May 2024 10:20:40 -0700 Subject: [PATCH 40/84] WLS for no DB case --- modules/calibration_lookup/src/alg.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/calibration_lookup/src/alg.py b/modules/calibration_lookup/src/alg.py index 7bd6e5053..70fdb52c4 100644 --- a/modules/calibration_lookup/src/alg.py +++ b/modules/calibration_lookup/src/alg.py @@ -436,7 +436,7 @@ def lookup(self): output_cals[cal] = self.defaults[cal] elif lookup == 'wls': wls_results = query_wls(self.datetime, self.wls_cal_types, self.max_age, self.log) - if wls_results[0] == 0 or wls_results[2] == 0: + if len(wls_results > 1) and (wls_results[0] == 0 or wls_results[2] == 0): wls_files = extract_from_db_results(wls_results, cal) if wls_files[0] == None: wls_files[0] = wls_files[1] From 2319bdf516e4a37176621bc30bd1173d9eb9500c Mon Sep 17 00:00:00 2001 From: BJ Fulton Date: Thu, 30 May 2024 11:17:13 -0700 Subject: [PATCH 41/84] dael with no DB connection --- modules/calibration_lookup/src/alg.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/calibration_lookup/src/alg.py b/modules/calibration_lookup/src/alg.py index 70fdb52c4..5a3e91367 100644 --- a/modules/calibration_lookup/src/alg.py +++ b/modules/calibration_lookup/src/alg.py @@ -436,7 +436,7 @@ def lookup(self): output_cals[cal] = self.defaults[cal] elif lookup == 'wls': wls_results = query_wls(self.datetime, self.wls_cal_types, self.max_age, self.log) - if len(wls_results > 1) and (wls_results[0] == 0 or wls_results[2] == 0): + if len(wls_results) > 1 and (wls_results[0] == 0 or wls_results[2] == 0): wls_files = extract_from_db_results(wls_results, cal) if wls_files[0] == None: wls_files[0] = wls_files[1] From 47d5939c1d21d291ae308b5a799886ad847ef924 Mon Sep 17 00:00:00 2001 From: Russ Laher Date: Fri, 31 May 2024 07:51:54 -0700 Subject: [PATCH 42/84] Set the datetime is one minute past the midnight boundary to ensure it is well past the selection threshold. --- recipes/kpf_masters_drp.recipe | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/recipes/kpf_masters_drp.recipe b/recipes/kpf_masters_drp.recipe index 150a333eb..2c6522aca 100644 --- a/recipes/kpf_masters_drp.recipe +++ b/recipes/kpf_masters_drp.recipe @@ -31,8 +31,9 @@ if date_dir is None: else: search_string = config.PICK_INPUTS_MASTERS_DRP.input_dir + "/" + date_dir + "/" + '*.fits' + # Set the datetime is one minute past the midnight boundary to ensure it is well past the selection threshold. dt_string = date_dir[0] + date_dir[1] + date_dir[2] + date_dir[3] +\ - "-" + date_dir[4] + date_dir[5] + "-" + date_dir[6] + date_dir[7] + "T00:00:00.000000" + "-" + date_dir[4] + date_dir[5] + "-" + date_dir[6] + date_dir[7] + "T00:01:00.000000" cals = CalibrationLookup(dt_string) ordermask_path = cals['order_mask'] smoothlamppattern_path = cals['smooth_lamp_pattern'] From b31bd5e0abe941b88c50bbb701ad3b303f1200af Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Sat, 1 Jun 2024 09:39:13 -0700 Subject: [PATCH 43/84] added get_data_products_expected() --- modules/Utils/kpf_parse.py | 68 +++++++++++++++++++++++++++++++++++++- 1 file changed, 67 insertions(+), 1 deletion(-) diff --git a/modules/Utils/kpf_parse.py b/modules/Utils/kpf_parse.py index d73b5fdc8..7d4e2cec5 100644 --- a/modules/Utils/kpf_parse.py +++ b/modules/Utils/kpf_parse.py @@ -279,10 +279,76 @@ def is_ObsID(ObsID): return is_ObsID_bool +def get_data_products_expected(kpf_object, data_level): + """ + Returns a list of data products that are expected to be available in a + KPF object of a given data level. + Possible data products: + L0: Green, Red, CaHK, ExpMeter, Guider, Telemetry, Pyrheliometer + 2D: Green, Red, CaHK, ExpMeter, Guider, Telemetry, Config, Receipt, Pyrheliometer + L1: Green, Red, CaHK, BC, Telemetry, Config, Receipt + L2: Green CCF, Red CCF, Green CCF RW, Red CCF RW, RV, Activity, Telemetry, Config, Receipt + + Args: + kpf_object - a KPF L0 object + data_level - 'L0', '2D', 'L1', or 'L2' + + Returns: + array of data expected data products + """ + primary_header = HeaderParse(kpf_object, 'PRIMARY').header + header = primary_header.header + name = primary_header.get_name() # 'Star','Sun','LFC', etc. + data_products = ['Telemetry'] + if data_level in ['2D', 'L1', 'L2']: + data_products.append('Config') + data_products.append('Receipt') + if 'GREEN' in header: + if header['GREEN'] == 'YES': + if data_level in ['L0', '2D', 'L1']: + data_products.append('Green') + if data_level in ['L2']: + data_products.append('Green CCF') + data_products.append('Green CCF RW') + if 'RED' in header: + if header['RED'] == 'YES': + if data_level in ['L0', '2D', 'L1']: + data_products.append('Red') + if data_level in ['L2']: + data_products.append('Red CCF') + data_products.append('Red CCF RW') + if 'CA_HK' in header: + if header['CA_HK'] == 'YES': + if data_level in ['L0', '2D', 'L1']: + data_products.append('CaHK') + if data_level in ['L2']: + if name in ['Star', 'Sun']: + data_products.append('Activity') # need a better way to determine (what about FWHM, etc.) + if 'EXPMETER' in header: + if header['EXPMETER'] == 'YES': + if data_level in ['L0', '2D']: + data_products.append('ExpMeter') + if data_level in ['L1']: + if name in ['Star', 'Sun']: + data_products.append('BC') # Is this the best way to determine if BC is present? + if data_level in ['L2']: + if name in ['Star', 'Sun', 'LFC', 'Etalon', 'ThAr', 'UNe']: + data_products.append('RV') # Is this the best way to determine if RV is present? Should it be there for the calibrations? + if 'GUIDE' in header: + if header['GUIDE'] == 'YES': + if data_level in ['L0', '2D']: + data_products.append('Guider') + if hasattr(kpf_object, 'SOCAL PYRHELIOMETER'): # Is this the best way to determine if Pyrheliometer data *should* be present? + if kpf_object['SOCAL PYRHELIOMETER'].size > 1: + data_products.append('Pyrheliometer') + + return data_products + + def get_data_products_L0(L0): """ Returns a list of data products available in an L0 file, which are: - Green, Red, CaHK, ExpMeter, Guider, Telemetry, Config + Green, Red, CaHK, ExpMeter, Guider, Telemetry, Config, Pyrheliometer Args: L0 - a KPF L0 object From e0946185aa48c1c7090cb58497615997dcd3dce7 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Sat, 1 Jun 2024 19:35:10 -0700 Subject: [PATCH 44/84] added styled_text() method --- modules/Utils/utils.py | 59 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 59 insertions(+) diff --git a/modules/Utils/utils.py b/modules/Utils/utils.py index ef72040c4..03e711574 100644 --- a/modules/Utils/utils.py +++ b/modules/Utils/utils.py @@ -165,3 +165,62 @@ def get_kpf_echelle_order(lambda_ang): ech_order = key return ech_order + +def styled_text(message, style="", color="", background=""): + """ + Returns a message with the specified style, color, and background color using ANSI escape codes. + + Parameters: + message (str): The message to be styled. + style (str): The style to apply. Options are: + "Bold", "Dim", "Underline", "Blink", "Reverse", "Hidden" + color (str): The text color to apply. Options are: + "Black", "Red", "Green", "Yellow", "Blue", "Magenta", "Cyan", "White" + background (str): The background color to apply. Options are: + "BgBlack", "BgRed", "BgGreen", "BgYellow", "BgBlue", "BgMagenta", "BgCyan", "BgWhite" + + Returns: + str: The styled message. + + Usage: + print(styled_text("This is a bold message.", style="Bold")) + print(styled_text("This is a red message.", color="Red")) + print(styled_text("This is a green message with blue background.", color="Green", background="BgBlue")) + """ + + # Define ANSI escape codes + codes = { + "Reset": "\033[0m", + "Bold": "\033[1m", + "Dim": "\033[2m", + "Underline": "\033[4m", + "Blink": "\033[5m", + "Reverse": "\033[7m", + "Hidden": "\033[8m", + "Black": "\033[30m", + "Red": "\033[31m", + "Green": "\033[32m", + "Yellow": "\033[33m", + "Blue": "\033[34m", + "Magenta": "\033[35m", + "Cyan": "\033[36m", + "White": "\033[37m", + "BgBlack": "\033[40m", + "BgRed": "\033[41m", + "BgGreen": "\033[42m", + "BgYellow": "\033[43m", + "BgBlue": "\033[44m", + "BgMagenta": "\033[45m", + "BgCyan": "\033[46m", + "BgWhite": "\033[47m" + } + + # Retrieve the ANSI codes from the dictionary + style_code = codes.get(style, "") + color_code = codes.get(color, "") + background_code = codes.get(background, "") + reset_code = codes["Reset"] + + # Construct the styled message + styled_message = f"{style_code}{color_code}{background_code}{message}{reset_code}" + return styled_message From b2104f9b1d07360badeca1a1bbca91c3997571c5 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Sat, 1 Jun 2024 19:38:25 -0700 Subject: [PATCH 45/84] add check_all_QC_keywords_present() method --- .../quality_control/src/quality_control.py | 119 +++++++++++++++--- 1 file changed, 99 insertions(+), 20 deletions(-) diff --git a/modules/quality_control/src/quality_control.py b/modules/quality_control/src/quality_control.py index d56f37338..e8219eee2 100644 --- a/modules/quality_control/src/quality_control.py +++ b/modules/quality_control/src/quality_control.py @@ -4,8 +4,8 @@ import pandas as pd from datetime import datetime from scipy.ndimage import convolve1d -from modules.Utils.utils import DummyLogger -from modules.Utils.kpf_parse import HeaderParse, get_data_products_L0, get_datetime_obsid, get_kpf_level +from modules.Utils.utils import DummyLogger, styled_text +from modules.Utils.kpf_parse import HeaderParse, get_data_products_L0, get_datetime_obsid, get_kpf_level, get_data_products_expected """ This module contains classes for KPF data quality control (QC). Various QC metrics are defined in @@ -57,17 +57,28 @@ def avg_data_with_clipping(data_array,n_sigma = 3.0): return avg,std,cnt -def test_all_QCs(kpf_object, data_type): +# To-do: move this to a new class? +def execute_all_QCs(kpf_object, data_level, logger=None): """ Method to loop over all QC tests for the data level of the input KPF object (an L0, 2D, L1, or L2 object). This method is useful for testing (e.g., in a Jupyter Notebook). To run the QCs in a recipe, use methods in quality_control_framework.py + + Args: + kpf_object - a KPF object (L0, 2D, L1, or L2) + data_type - + + Attributes: + None + + Returns: + kpf_object - the input kpf_object with QC keywords added """ - logger = DummyLogger() + logger = logger if logger is not None else DummyLogger() - data_level = get_kpf_level(kpf_object) + #data_level = get_kpf_level(kpf_object) # Define QC object if data_level == 'L0': @@ -89,7 +100,7 @@ def test_all_QCs(kpf_object, data_type): if data_level in qc_obj.qcdefinitions.kpf_data_levels[qc_name]: qc_names.append(qc_name) - # Run the QC tests and add result to keyword to header + # Run the QC tests and add result keyword to header primary_header = HeaderParse(kpf_object, 'PRIMARY') this_spectrum_type = primary_header.get_name(use_star_names=False) logger.info(f'Spectrum type: {this_spectrum_type}') @@ -97,19 +108,31 @@ def test_all_QCs(kpf_object, data_type): try: spectrum_types = qc_obj.qcdefinitions.spectrum_types[qc_name] if (this_spectrum_type in spectrum_types) or ('all' in spectrum_types): - logger.info(f'Running QC: \033[1;34m{qc_name}\033[0m ({qc_obj.qcdefinitions.descriptions[qc_name]})') - method = getattr(qc_obj, qc_name) # get method with the name 'qc_name' - qc_value = method() # evaluate method - if qc_value == True: - color_code = '\033[1;32m' # green - elif qc_value == False: - color_code = '\033[1;31m' # red + if len(qc_obj.qcdefinitions.required_data_products[qc_name]) == 0: + all_required_data_products_present = True else: - color_code = '\033[1m' - logger.info(f'QC result: {color_code}{qc_value}\033[0m (True = pass)') - qc_obj.add_qc_keyword_to_header(qc_name, qc_value) + data_products_expected = get_data_products_expected(kpf_object, data_level) + data_products_required = qc_obj.qcdefinitions.required_data_products[qc_name] + all_required_data_products_present = all(element in data_products_expected for element in data_products_required) + if all_required_data_products_present: + text_qc_name = styled_text(qc_name, style="Bold", color="Blue") + text_qc_keyword = styled_text(qc_obj.qcdefinitions.fits_keywords[qc_name], style="Bold", color="Blue") + logger.info(f'Running QC: {text_qc_name} ({text_qc_keyword}; {qc_obj.qcdefinitions.descriptions[qc_name]})') + method = getattr(qc_obj, qc_name) # get method with the name 'qc_name' + qc_value = method() # evaluate method + if qc_value == True: + text_qc_value = styled_text(qc_value, style="Bold", color="Green") + elif qc_value == False: + text_qc_value = styled_text(qc_value, style="Bold", color="Red") + if qc_obj.qcdefinitions.fits_keywords[qc_name] == 'KPFERA': + logger.info(f'Result: {styled_text(qc_value, style="Bold")}') + else: + logger.info(f'QC result: {text_qc_value} (True = pass)') + qc_obj.add_qc_keyword_to_header(qc_name, qc_value) + else: + logger.info(f'Not running QC: {qc_name} ({qc_obj.qcdefinitions.descriptions[qc_name]}) because {data_products_required} not in list of expected data products({data_products_expected})') else: - logger.info(f'Not running QC: {qc_name} ({qc_obj.qcdefinitions.descriptions[qc_name]}) because spectrum type {this_spectrum_type} not in list of spectrum types: {spectrum_types}') + logger.info(f'Not running QC: {qc_name} ({qc_obj.qcdefinitions.descriptions[qc_name]}) because {this_spectrum_type} not in list of spectrum types: {spectrum_types}') except AttributeError as e: logger.info(f'Method {qc_name} does not exist in qc_obj or another AttributeError occurred: {e}') pass @@ -117,6 +140,41 @@ def test_all_QCs(kpf_object, data_type): logger.info(f'An error occurred when executing {qc_name}:', str(e)) pass + return kpf_object + +# To do: finish this method +# To-do: move this a new class? +def check_all_QC_keywords_present(kpf_object, logger=None): + """ + Method to determine if all QC tests have been run on the input kpf_object + by examining it's keywords. The method determines the data_level for + kpf_object and checks for keywords of that level and lower, e.g., for + data_level = 'L1', the method checks for keywords in levels 'L0', '2D', + and 'L1'. + + Args: + kpf_object - a KPF object (L0, 2D, L1, or L2) + logger - Python logger object; if None, the DummyLogger is used + + Returns: + kpf_object - the input kpf_object with QC keywords added + """ + + logger = logger if logger is not None else DummyLogger() + data_level = get_kpf_level(kpf_object) + primary_header = HeaderParse(kpf_object, 'PRIMARY') + this_spectrum_type = primary_header.get_name(use_star_names=False) + + if data_level == 'L0': + data_levels = data_levels = ['L0'] + if data_level == '2D': + data_levels = data_levels = ['L0', '2D'] + if data_level == 'L1': + data_levels = data_levels = ['L0', '2D', 'L1'] + if data_level == 'L2': + data_levels = data_levels = ['L0', '2D', 'L1', 'L2'] + + ##################################################################### class QCDefinitions: @@ -138,7 +196,9 @@ class QCDefinitions: data_types (dictionary of strings): Each entry specifies the Python data type of the metric. Only string, int, float are allowed. Use 0/1 for boolean. spectrum_types (dictionary of arrays of strings ): Each entry specifies the types of spectra that the metric will be applied to. - Possible strings in array: 'all', 'Bias', 'Dark', 'Flat', 'Wide Flat', 'LFC', 'Etalon', 'ThAr', 'UNe', 'Sun', 'Star', , '' + Possible strings in array: 'all', 'Bias', 'Dark', 'Flat', 'Wide Flat', 'LFC', 'Etalon', 'ThAr', 'UNe', 'Sun', 'Star', + required_data_products (dictionary of arrays of strings ): specifies if data products are needed to perform check + if = [], then no required data products; other possible values are from get_data_products_L0, etc. fits_keywords (dictionary of strings): Each entry specifies the FITS-header keyword for the metric. Must be 8 characters or less, following the FITS standard. fits_comments (dictionary of strings): Each entry specifies the FITS-header comment for the metric. @@ -154,8 +214,9 @@ def __init__(self, logger=None): self.names = [] self.descriptions = {} self.kpf_data_levels = {} - self.data_types = {} # values are arrays; one or more of ['L0', '2D', 'L1', 'L2'] - self.spectrum_types = {} # values are arrays; one or more of [] + self.data_types = {} + self.spectrum_types = {} + self.required_data_products = {} # if = [], then no required data products; other possible values: Green, Red, CaHK, ExpMeter, Guider, Telemetry, Config, Receipt, Pyrheliometer self.fits_keywords = {} self.fits_comments = {} self.db_columns = {} @@ -167,6 +228,7 @@ def __init__(self, logger=None): self.kpf_data_levels[name0] = ['L3'] # bogus value L3 to avoid executing self.data_types[name0] = 'float' self.spectrum_types[name0] = ['all', ] + self.required_data_products[name0] = [] # no required data products self.fits_keywords[name0] = 'JBTRED1' self.fits_comments[name0] = 'QC: J-B test for RED AMP-1 detector' self.db_columns[name0] = None @@ -177,6 +239,7 @@ def __init__(self, logger=None): self.kpf_data_levels[name1] = ['L0', '2D', 'L1', 'L2'] self.data_types[name1] = 'int' self.spectrum_types[name1] = ['all', ] # Need trailing comma to make list hashable + self.required_data_products[name1] = [] # no required data products self.fits_keywords[name1] = 'NOTJUNK' self.fits_comments[name1] = 'QC: Not in list of junk files' self.db_columns[name1] = None @@ -187,6 +250,7 @@ def __init__(self, logger=None): self.kpf_data_levels[name2] = ['L1'] self.data_types[name2] = 'int' self.spectrum_types[name2] = ['all', ] + self.required_data_products[name2] = [] # no required data products self.fits_keywords[name2] = 'MONOTWLS' self.fits_comments[name2] = 'QC: Monotonic wavelength-solution' self.db_columns[name2] = None @@ -197,6 +261,7 @@ def __init__(self, logger=None): self.descriptions[name3] = 'Expected L0 data products present with non-zero array sizes.' self.data_types[name3] = 'int' self.spectrum_types[name3] = ['all', ] + self.required_data_products[name3] = [] # no required data products self.fits_keywords[name3] = 'DATAPRL0' self.fits_comments[name3] = 'QC: L0 data present' self.db_columns[name3] = None @@ -207,6 +272,7 @@ def __init__(self, logger=None): self.descriptions[name4] = 'Expected L0 header keywords present.' self.data_types[name4] = 'int' self.spectrum_types[name4] = ['all', ] + self.required_data_products[name4] = [] # no required data products self.fits_keywords[name4] = 'KWRDPRL0' self.fits_comments[name4] = 'QC: L0 keywords present' self.db_columns[name4] = None @@ -217,6 +283,7 @@ def __init__(self, logger=None): self.descriptions[name5] = 'Timing consistency in L0 header keywords and ExpMeter table.' self.data_types[name5] = 'int' self.spectrum_types[name5] = ['all', ] + self.required_data_products[name5] = [] # no required data products self.fits_keywords[name5] = 'TIMCHKL0' self.fits_comments[name5] = 'QC: L0 times consistent' self.db_columns[name5] = None @@ -227,6 +294,7 @@ def __init__(self, logger=None): self.descriptions[name5b] = 'Timing consistency in L2 files.' self.data_types[name5b] = 'int' self.spectrum_types[name5b] = ['all', ] + self.required_data_products[name5b] = [] # no required data products self.fits_keywords[name5b] = 'TIMCHKL2' self.fits_comments[name5b] = 'QC: L2 times consistent' self.db_columns[name5b] = None @@ -237,6 +305,7 @@ def __init__(self, logger=None): self.descriptions[name6] = '2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.' self.data_types[name6] = 'int' self.spectrum_types[name6] = ['all', ] + self.required_data_products[name6] = ['ExpMeter'] self.fits_keywords[name6] = 'EMSAT' self.fits_comments[name6] = 'QC: EM not saturated' self.db_columns[name6] = None @@ -247,6 +316,7 @@ def __init__(self, logger=None): self.descriptions[name7] = 'Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.' self.data_types[name7] = 'int' self.spectrum_types[name7] = ['all', ] + self.required_data_products[name7] = ['ExpMeter'] self.fits_keywords[name7] = 'EMNEG' self.fits_comments[name7] = 'QC: EM not negative flux' self.db_columns[name7] = None @@ -257,6 +327,7 @@ def __init__(self, logger=None): self.descriptions[name8] = 'LFC frame that goes into a master has sufficient flux' self.data_types[name8] = 'int' self.spectrum_types[name8] = ['LFC', ] + self.required_data_products[name8] = [] # no required data products self.fits_keywords[name8] = 'LFC2DFOK' self.fits_comments[name8] = 'QC: LFC flux meets threshold of 4000 counts' self.db_columns[name8] = None @@ -267,6 +338,7 @@ def __init__(self, logger=None): self.descriptions[name9] = 'Flux is low in bias exposure.' self.data_types[name9] = 'int' self.spectrum_types[name9] = ['Bias', ] + self.required_data_products[name9] = [] # no required data products self.fits_keywords[name9] = 'LOWBIAS' self.fits_comments[name9] = 'QC: 2D bias low flux check' self.db_columns[name9] = None @@ -277,6 +349,7 @@ def __init__(self, logger=None): self.descriptions[name10] = 'Flux is low in dark exposure.' self.data_types[name10] = 'int' self.spectrum_types[name10] = ['Dark', ] + self.required_data_products[name10] = [] # no required data products self.fits_keywords[name10] = 'LOWDARK' self.fits_comments[name10] = 'QC: 2D dark low flux check' self.db_columns[name10] = None @@ -286,6 +359,7 @@ def __init__(self, logger=None): self.kpf_data_levels[name11] = ['L1'] self.data_types[name11] = 'int' self.spectrum_types[name11] = ['all', ] + self.required_data_products[name11] = [] # no required data products self.descriptions[name11] = 'Red/Green data present in L1 with expected shapes.' self.fits_keywords[name11] = 'DATAPRL1' self.fits_comments[name11] = 'QC: L1 red and green data present check' @@ -297,6 +371,7 @@ def __init__(self, logger=None): self.descriptions[name12] = 'CaHK data present in L1 with expected shape.' self.data_types[name12] = 'int' self.spectrum_types[name12] = ['all', ] + self.required_data_products[name12] = ['HK'] # no required data products self.fits_keywords[name12] = 'CaHKPRL1' self.fits_comments[name12] = 'QC: L1 CaHK present check' self.db_columns[name12] = None @@ -307,6 +382,7 @@ def __init__(self, logger=None): self.descriptions[name13] = 'All data present in L2.' self.data_types[name13] = 'int' self.spectrum_types[name13] = ['all', ] + self.required_data_products[name13] = [] # no required data products self.fits_keywords[name13] = 'DATAPRL2' self.fits_comments[name13] = 'QC: L2 data present check' self.db_columns[name13] = None @@ -317,6 +393,7 @@ def __init__(self, logger=None): self.descriptions[name14] = 'CaHK CCD data present with expected array sizes.' self.data_types[name14] = 'int' self.spectrum_types[name14] = ['all', ] + self.required_data_products[name14] = ['HK'] # no required data products self.fits_keywords[name14] = 'CaHKPR2D' self.fits_comments[name14] = 'QC: 2D CaHK data present check' self.db_columns[name14] = None @@ -327,6 +404,7 @@ def __init__(self, logger=None): self.descriptions[name15] = 'Red/Green CCD data present with expected array sizes.' self.data_types[name15] = 'int' self.spectrum_types[name15] = ['all', ] + self.required_data_products[name15] = [] # no required data products self.fits_keywords[name15] = 'DATAPR2D' self.fits_comments[name15] = 'QC: 2D red and green data present check' self.db_columns[name15] = None @@ -337,6 +415,7 @@ def __init__(self, logger=None): self.descriptions[name16] = 'Not a QC test; used to add the KPFERA keyword to header.' self.data_types[name16] = 'float' self.spectrum_types[name16] = ['all', ] + self.required_data_products[name16] = [] # no required data products self.fits_keywords[name16] = 'KPFERA' self.fits_comments[name16] = 'Current era of KPF observations' self.db_columns[name16] = None From 57e14efd0d8dc9ae55a9558881cc8429c4314772 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Sat, 1 Jun 2024 19:46:16 -0700 Subject: [PATCH 46/84] moved execution to execute_all_QCs() --- .../src/quality_control_framework.py | 46 ++----------------- 1 file changed, 5 insertions(+), 41 deletions(-) diff --git a/modules/quality_control/src/quality_control_framework.py b/modules/quality_control/src/quality_control_framework.py index 9151ad307..f993b885d 100644 --- a/modules/quality_control/src/quality_control_framework.py +++ b/modules/quality_control/src/quality_control_framework.py @@ -1,10 +1,8 @@ import ast import configparser as cp -import modules.quality_control.src.quality_control as qc from modules.Utils.kpf_parse import HeaderParse - -# temporarily: -#import inspect +import modules.quality_control.src.quality_control as qc +from modules.quality_control.src.quality_control import execute_all_QCs # Pipeline dependencies from kpfpipe.logger import * @@ -76,43 +74,9 @@ def _perform(self): quality_control_exit_code = 0 - # Define QC object - if 'L0' in self.data_level_str: - qc_obj = qc.QCL0(self.kpf_object) - elif '2D' in self.data_level_str: - qc_obj = qc.QC2D(self.kpf_object) - elif 'L1' in self.data_level_str: - qc_obj = qc.QCL1(self.kpf_object) - elif 'L2' in self.data_level_str: - qc_obj = qc.QCL2(self.kpf_object) - - # Get a list of QC method names appropriate for the data level - qc_names = [] - for qc_name in qc_obj.qcdefinitions.names: - if self.data_level_str in qc_obj.qcdefinitions.kpf_data_levels[qc_name]: - qc_names.append(qc_name) - - # Run the QC tests and add result to keyword to header - for qc_name in qc_names: - try: - primary_header = HeaderParse(self.kpf_object, 'PRIMARY') - this_spectrum_type = primary_header.get_name(use_star_names=False) - spectrum_types = qc_obj.qcdefinitions.spectrum_types[qc_name] - if (this_spectrum_type in spectrum_types) or ('all' in spectrum_types): - self.logger.info(f'Running QC: {qc_name} ({qc_obj.qcdefinitions.descriptions[qc_name]})') - method = getattr(qc_obj, qc_name) # get method with the name 'qc_name' - qc_value = method() # evaluate method - self.logger.info(f'QC result: {qc_value} (True = pass)') - qc_obj.add_qc_keyword_to_header(qc_name, qc_value) - else: - self.logger.info(f'Not running QC: {qc_name} ({qc_obj.qcdefinitions.descriptions[qc_name]}) because spectrum type {this_spectrum_type} not in list of spectrum types: {spectrum_types}') - except AttributeError as e: - self.logger.info(f'Method {qc_name} does not exist in qc_obj or another AttributeError occurred: {e}') - pass - except Exception as e: - self.logger.info(f'An error occurred when executing {qc_name}:', str(e)) - pass - + # Execute appropriate QC tests + self.kpf_object = execute_all_QCs(self.kpf_object, self.data_level_str, logger=self.logger) + # Optionally list QC metrics. if self.qc_list_flag == 1: qc_obj.qcdefinitions.list_qc_metrics() From a7aa7e36d182c4d74ddad423e6ecbf1f4d7ca939 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Sat, 1 Jun 2024 21:34:53 -0700 Subject: [PATCH 47/84] changed to /testdata --- configs/qc_diagnostics_example.cfg | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/configs/qc_diagnostics_example.cfg b/configs/qc_diagnostics_example.cfg index 0060a67ea..c1675ebd5 100644 --- a/configs/qc_diagnostics_example.cfg +++ b/configs/qc_diagnostics_example.cfg @@ -4,7 +4,7 @@ start_log = True log_path = pipeline.log log_level = info log_verbose = True -log_directory = /data/logs/ +log_directory = /testdata/logs/ [ARGUMENT] data_type = KPF @@ -15,13 +15,13 @@ data_type = KPF #input_fits_filename = /data/L1/20230608/KP.20230608.68393.35_L1.fits #output_fits_filename = /testdata/L1/20230608/KP.20230608.68393.35_L1.fits -#data_level_str = L1 -#input_fits_filename = /data/L1/20231030/KP.20231030.00336.79_L1.fits -#output_fits_filename = /testdata/L1/20231030/KP.20231030.00336.79_L1.fits +data_level_str = L1 +input_fits_filename = /data/L1/20231030/KP.20231030.00336.79_L1.fits +output_fits_filename = /testdata/L1/20231030/KP.20231030.00336.79_L1.fits -data_level_str = L0 -input_fits_filename = /data/L0/20230618/KP.20230618.67942.84.fits -output_fits_filename = /testdata/L0/20230618/KP.20230618.67942.84.fits +#data_level_str = L0 +#input_fits_filename = /data/L0/20230618/KP.20230618.67942.84.fits +#output_fits_filename = /testdata/L0/20230618/KP.20230618.67942.84.fits [MODULE_CONFIGS] quality_control = modules/quality_control/configs/default.cfg From 15c8629c089479467f71722703af710eecb92609 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Sat, 1 Jun 2024 21:36:49 -0700 Subject: [PATCH 48/84] change to styled_text() --- .../quality_control/src/quality_control.py | 20 +++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/modules/quality_control/src/quality_control.py b/modules/quality_control/src/quality_control.py index e8219eee2..d58fa2258 100644 --- a/modules/quality_control/src/quality_control.py +++ b/modules/quality_control/src/quality_control.py @@ -125,7 +125,7 @@ def execute_all_QCs(kpf_object, data_level, logger=None): elif qc_value == False: text_qc_value = styled_text(qc_value, style="Bold", color="Red") if qc_obj.qcdefinitions.fits_keywords[qc_name] == 'KPFERA': - logger.info(f'Result: {styled_text(qc_value, style="Bold")}') + logger.info(f'Result: {styled_text("KPFERA", style="Bold", color="Blue")}={styled_text(qc_value, style="Bold")}') else: logger.info(f'QC result: {text_qc_value} (True = pass)') qc_obj.add_qc_keyword_to_header(qc_name, qc_value) @@ -458,7 +458,7 @@ def list_qc_metrics(self): qc_names = self.names for data_level in ['L0', '2D', 'L1', 'L2']: - print(f'\033[1mQuality Control tests for {data_level}:\033[0m') + print(styled_text(f"Quality Control tests for {data_level}:", style="Bold")) for qc_name in qc_names: kpf_data_levels = self.kpf_data_levels[qc_name] @@ -470,14 +470,14 @@ def list_qc_metrics(self): description = self.descriptions[qc_name] if data_level in self.kpf_data_levels[qc_name]: - print(' \033[1mQC Name:\033[0m ' + qc_name) - print(' \033[1mDescription:\033[0m ' + description) - print(' \033[1mData levels:\033[0m ' + str(kpf_data_levels)) - print(' \033[1mData type:\033[0m ' + data_type) - print(' \033[1mSpectrum type:\033[0m ' + str(spectrum_type)) - print(' \033[1mKeyword:\033[0m ' + keyword) - print(' \033[1mComment:\033[0m ' + comment) - print(' \033[1mDatabase column:\033[0m ' + str(db_column)) + print(' ' + styled_text("Name: ", style="Bold") + styled_text(qc_name, style="Bold", color="Blue")) + print(' ' + styled_text("Description: ", style="Bold") + description) + print(' ' + styled_text("Date levels: ", style="Bold") + str(kpf_data_levels)) + print(' ' + styled_text("Date type: ", style="Bold") + data_type) + print(' ' + styled_text("Spectrum type: ", style="Bold") + str(spectrum_type)) + print(' ' + styled_text("Keyword: ", style="Bold") + styled_text(keyword, style="Bold", color='Blue')) + print(' ' + styled_text("Comment: ", style="Bold") + comment) + print(' ' + styled_text("Database column: ", style="Bold") + str(db_column)) print() From 18b7d3d39b52df80b2bc7a25fe19a29b968ddcaf Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Sat, 1 Jun 2024 21:37:51 -0700 Subject: [PATCH 49/84] remove extra line --- modules/quality_control/src/quality_control_framework.py | 1 - 1 file changed, 1 deletion(-) diff --git a/modules/quality_control/src/quality_control_framework.py b/modules/quality_control/src/quality_control_framework.py index f993b885d..ac6328dbf 100644 --- a/modules/quality_control/src/quality_control_framework.py +++ b/modules/quality_control/src/quality_control_framework.py @@ -61,7 +61,6 @@ def __init__(self, action, context): module_param_cfg = module_config_obj['PARAM'] debug_level_cfg_str = module_param_cfg.get('debug_level') self.debug_level_cfg = ast.literal_eval(debug_level_cfg_str) - #self.logger.info('self.debug_level_cfg = {}'.format(self.debug_level_cfg)) self.logger.info('Type of self.debug_level_cfg = {}'.format(type(self.debug_level_cfg))) From e70f95d404403117be6d89e5bc4b3d005830fa53 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Sat, 1 Jun 2024 21:43:05 -0700 Subject: [PATCH 50/84] removed "_check" from method names --- .../KPF_Data_Tutorial_Quality_Control.ipynb | 1324 ++++++++--------- .../quality_control/src/quality_control.py | 66 +- 2 files changed, 673 insertions(+), 717 deletions(-) diff --git a/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb b/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb index 627a06932..50ca7eca0 100644 --- a/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb +++ b/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb @@ -31,215 +31,215 @@ "output_type": "stream", "text": [ "\u001b[1mQuality Control tests for L0:\u001b[0m\n", - " \u001b[1mQC Name:\u001b[0m not_junk_check\n", - " \u001b[1mDescription:\u001b[0m File is not in list of junk files.\n", - " \u001b[1mData levels:\u001b[0m ['L0', '2D', 'L1', 'L2']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m NOTJUNK\n", - " \u001b[1mComment:\u001b[0m QC: Not in list of junk files\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mnot_junk\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mFile is not in list of junk files.\n", + " \u001b[1mDate levels: \u001b[0m['L0', '2D', 'L1', 'L2']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mNOTJUNK\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: Not in list of junk files\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m L0_data_products_check\n", - " \u001b[1mDescription:\u001b[0m Expected L0 data products present with non-zero array sizes.\n", - " \u001b[1mData levels:\u001b[0m ['L0']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m DATAPRL0\n", - " \u001b[1mComment:\u001b[0m QC: L0 data present\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mL0_data_products\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mExpected L0 data products present with non-zero array sizes.\n", + " \u001b[1mDate levels: \u001b[0m['L0']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mDATAPRL0\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: L0 data present\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m L0_header_keywords_present_check\n", - " \u001b[1mDescription:\u001b[0m Expected L0 header keywords present.\n", - " \u001b[1mData levels:\u001b[0m ['L0']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m KWRDPRL0\n", - " \u001b[1mComment:\u001b[0m QC: L0 keywords present\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mL0_header_keywords_present\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mExpected L0 header keywords present.\n", + " \u001b[1mDate levels: \u001b[0m['L0']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mKWRDPRL0\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: L0 keywords present\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m L0_datetime_checks\n", - " \u001b[1mDescription:\u001b[0m Timing consistency in L0 header keywords and ExpMeter table.\n", - " \u001b[1mData levels:\u001b[0m ['L0']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m TIMCHKL0\n", - " \u001b[1mComment:\u001b[0m QC: L0 times consistent\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mL0_datetime\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mTiming consistency in L0 header keywords and ExpMeter table.\n", + " \u001b[1mDate levels: \u001b[0m['L0']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mTIMCHKL0\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: L0 times consistent\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m exposure_meter_not_saturated_check\n", - " \u001b[1mDescription:\u001b[0m 2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.\n", - " \u001b[1mData levels:\u001b[0m ['L0']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m EMSAT\n", - " \u001b[1mComment:\u001b[0m QC: EM not saturated\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mexposure_meter_not_saturated\u001b[0m\n", + " \u001b[1mDescription: \u001b[0m2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.\n", + " \u001b[1mDate levels: \u001b[0m['L0']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mEMSAT\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: EM not saturated\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m exposure_meter_flux_not_negative_check\n", - " \u001b[1mDescription:\u001b[0m Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.\n", - " \u001b[1mData levels:\u001b[0m ['L0']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m EMNEG\n", - " \u001b[1mComment:\u001b[0m QC: EM not negative flux\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mexposure_meter_flux_not_negative\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mNegative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.\n", + " \u001b[1mDate levels: \u001b[0m['L0']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mEMNEG\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: EM not negative flux\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m add_kpfera\n", - " \u001b[1mDescription:\u001b[0m Not a QC test; used to add the KPFERA keyword to header.\n", - " \u001b[1mData levels:\u001b[0m ['L0', '2D', 'L1', 'L2']\n", - " \u001b[1mData type:\u001b[0m float\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m KPFERA\n", - " \u001b[1mComment:\u001b[0m Current era of KPF observations\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34madd_kpfera\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mNot a QC test; used to add the KPFERA keyword to header.\n", + " \u001b[1mDate levels: \u001b[0m['L0', '2D', 'L1', 'L2']\n", + " \u001b[1mDate type: \u001b[0mfloat\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mKPFERA\u001b[0m\n", + " \u001b[1mComment: \u001b[0mCurrent era of KPF observations\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", "\u001b[1mQuality Control tests for 2D:\u001b[0m\n", - " \u001b[1mQC Name:\u001b[0m not_junk_check\n", - " \u001b[1mDescription:\u001b[0m File is not in list of junk files.\n", - " \u001b[1mData levels:\u001b[0m ['L0', '2D', 'L1', 'L2']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m NOTJUNK\n", - " \u001b[1mComment:\u001b[0m QC: Not in list of junk files\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mnot_junk\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mFile is not in list of junk files.\n", + " \u001b[1mDate levels: \u001b[0m['L0', '2D', 'L1', 'L2']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mNOTJUNK\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: Not in list of junk files\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m D2_lfc_flux_check\n", - " \u001b[1mDescription:\u001b[0m LFC frame that goes into a master has sufficient flux\n", - " \u001b[1mData levels:\u001b[0m ['2D']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['LFC']\n", - " \u001b[1mKeyword:\u001b[0m LFC2DFOK\n", - " \u001b[1mComment:\u001b[0m QC: LFC flux meets threshold of 4000 counts\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mD2_lfc_flux\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mLFC frame that goes into a master has sufficient flux\n", + " \u001b[1mDate levels: \u001b[0m['2D']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['LFC']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mLFC2DFOK\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: LFC flux meets threshold of 4000 counts\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m data_2D_bias_low_flux_check\n", - " \u001b[1mDescription:\u001b[0m Flux is low in bias exposure.\n", - " \u001b[1mData levels:\u001b[0m ['2D']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['Bias']\n", - " \u001b[1mKeyword:\u001b[0m LOWBIAS\n", - " \u001b[1mComment:\u001b[0m QC: 2D bias low flux check\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mdata_2D_bias_low_flux\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mFlux is low in bias exposure.\n", + " \u001b[1mDate levels: \u001b[0m['2D']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['Bias']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mLOWBIAS\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: 2D bias low flux check\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m data_2D_dark_low_flux_check\n", - " \u001b[1mDescription:\u001b[0m Flux is low in dark exposure.\n", - " \u001b[1mData levels:\u001b[0m ['2D']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['Dark']\n", - " \u001b[1mKeyword:\u001b[0m LOWDARK\n", - " \u001b[1mComment:\u001b[0m QC: 2D dark low flux check\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mdata_2D_dark_low_flux\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mFlux is low in dark exposure.\n", + " \u001b[1mDate levels: \u001b[0m['2D']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['Dark']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mLOWDARK\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: 2D dark low flux check\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m data_2D_CaHK_check\n", - " \u001b[1mDescription:\u001b[0m CaHK CCD data present with expected array sizes.\n", - " \u001b[1mData levels:\u001b[0m ['2D']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m CaHKPR2D\n", - " \u001b[1mComment:\u001b[0m QC: 2D CaHK data present check\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mdata_2D_CaHK\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mCaHK CCD data present with expected array sizes.\n", + " \u001b[1mDate levels: \u001b[0m['2D']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mCaHKPR2D\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: 2D CaHK data present check\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m data_2D_red_green_check\n", - " \u001b[1mDescription:\u001b[0m Red/Green CCD data present with expected array sizes.\n", - " \u001b[1mData levels:\u001b[0m ['2D']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m DATAPR2D\n", - " \u001b[1mComment:\u001b[0m QC: 2D red and green data present check\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mdata_2D_red_green\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mRed/Green CCD data present with expected array sizes.\n", + " \u001b[1mDate levels: \u001b[0m['2D']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mDATAPR2D\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: 2D red and green data present check\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m add_kpfera\n", - " \u001b[1mDescription:\u001b[0m Not a QC test; used to add the KPFERA keyword to header.\n", - " \u001b[1mData levels:\u001b[0m ['L0', '2D', 'L1', 'L2']\n", - " \u001b[1mData type:\u001b[0m float\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m KPFERA\n", - " \u001b[1mComment:\u001b[0m Current era of KPF observations\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34madd_kpfera\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mNot a QC test; used to add the KPFERA keyword to header.\n", + " \u001b[1mDate levels: \u001b[0m['L0', '2D', 'L1', 'L2']\n", + " \u001b[1mDate type: \u001b[0mfloat\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mKPFERA\u001b[0m\n", + " \u001b[1mComment: \u001b[0mCurrent era of KPF observations\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", "\u001b[1mQuality Control tests for L1:\u001b[0m\n", - " \u001b[1mQC Name:\u001b[0m not_junk_check\n", - " \u001b[1mDescription:\u001b[0m File is not in list of junk files.\n", - " \u001b[1mData levels:\u001b[0m ['L0', '2D', 'L1', 'L2']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m NOTJUNK\n", - " \u001b[1mComment:\u001b[0m QC: Not in list of junk files\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mnot_junk\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mFile is not in list of junk files.\n", + " \u001b[1mDate levels: \u001b[0m['L0', '2D', 'L1', 'L2']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mNOTJUNK\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: Not in list of junk files\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m monotonic_wavelength_solution_check\n", - " \u001b[1mDescription:\u001b[0m Wavelength solution is monotonic.\n", - " \u001b[1mData levels:\u001b[0m ['L1']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m MONOTWLS\n", - " \u001b[1mComment:\u001b[0m QC: Monotonic wavelength-solution\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mmonotonic_wavelength_solution\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mWavelength solution is monotonic.\n", + " \u001b[1mDate levels: \u001b[0m['L1']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mMONOTWLS\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: Monotonic wavelength-solution\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m data_L1_red_green_check\n", - " \u001b[1mDescription:\u001b[0m Red/Green data present in L1 with expected shapes.\n", - " \u001b[1mData levels:\u001b[0m ['L1']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m DATAPRL1\n", - " \u001b[1mComment:\u001b[0m QC: L1 red and green data present check\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mdata_L1_red_green\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mRed/Green data present in L1 with expected shapes.\n", + " \u001b[1mDate levels: \u001b[0m['L1']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mDATAPRL1\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: L1 red and green data present check\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m data_L1_CaHK_check\n", - " \u001b[1mDescription:\u001b[0m CaHK data present in L1 with expected shape.\n", - " \u001b[1mData levels:\u001b[0m ['L1']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m CaHKPRL1\n", - " \u001b[1mComment:\u001b[0m QC: L1 CaHK present check\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mdata_L1_CaHK\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mCaHK data present in L1 with expected shape.\n", + " \u001b[1mDate levels: \u001b[0m['L1']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mCaHKPRL1\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: L1 CaHK present check\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m add_kpfera\n", - " \u001b[1mDescription:\u001b[0m Not a QC test; used to add the KPFERA keyword to header.\n", - " \u001b[1mData levels:\u001b[0m ['L0', '2D', 'L1', 'L2']\n", - " \u001b[1mData type:\u001b[0m float\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m KPFERA\n", - " \u001b[1mComment:\u001b[0m Current era of KPF observations\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34madd_kpfera\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mNot a QC test; used to add the KPFERA keyword to header.\n", + " \u001b[1mDate levels: \u001b[0m['L0', '2D', 'L1', 'L2']\n", + " \u001b[1mDate type: \u001b[0mfloat\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mKPFERA\u001b[0m\n", + " \u001b[1mComment: \u001b[0mCurrent era of KPF observations\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", "\u001b[1mQuality Control tests for L2:\u001b[0m\n", - " \u001b[1mQC Name:\u001b[0m not_junk_check\n", - " \u001b[1mDescription:\u001b[0m File is not in list of junk files.\n", - " \u001b[1mData levels:\u001b[0m ['L0', '2D', 'L1', 'L2']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m NOTJUNK\n", - " \u001b[1mComment:\u001b[0m QC: Not in list of junk files\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mnot_junk\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mFile is not in list of junk files.\n", + " \u001b[1mDate levels: \u001b[0m['L0', '2D', 'L1', 'L2']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mNOTJUNK\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: Not in list of junk files\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m L2_datetime_checks\n", - " \u001b[1mDescription:\u001b[0m Timing consistency in L2 files.\n", - " \u001b[1mData levels:\u001b[0m ['L2']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m TIMCHKL2\n", - " \u001b[1mComment:\u001b[0m QC: L2 times consistent\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mL2_datetime\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mTiming consistency in L2 files.\n", + " \u001b[1mDate levels: \u001b[0m['L2']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mTIMCHKL2\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: L2 times consistent\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m data_L2_check\n", - " \u001b[1mDescription:\u001b[0m All data present in L2.\n", - " \u001b[1mData levels:\u001b[0m ['L2']\n", - " \u001b[1mData type:\u001b[0m int\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m DATAPRL2\n", - " \u001b[1mComment:\u001b[0m QC: L2 data present check\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34mdata_L2\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mAll data present in L2.\n", + " \u001b[1mDate levels: \u001b[0m['L2']\n", + " \u001b[1mDate type: \u001b[0mint\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mDATAPRL2\u001b[0m\n", + " \u001b[1mComment: \u001b[0mQC: L2 data present check\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", - " \u001b[1mQC Name:\u001b[0m add_kpfera\n", - " \u001b[1mDescription:\u001b[0m Not a QC test; used to add the KPFERA keyword to header.\n", - " \u001b[1mData levels:\u001b[0m ['L0', '2D', 'L1', 'L2']\n", - " \u001b[1mData type:\u001b[0m float\n", - " \u001b[1mSpectrum type:\u001b[0m ['all']\n", - " \u001b[1mKeyword:\u001b[0m KPFERA\n", - " \u001b[1mComment:\u001b[0m Current era of KPF observations\n", - " \u001b[1mDatabase column:\u001b[0m None\n", + " \u001b[1mName: \u001b[0m\u001b[1m\u001b[34madd_kpfera\u001b[0m\n", + " \u001b[1mDescription: \u001b[0mNot a QC test; used to add the KPFERA keyword to header.\n", + " \u001b[1mDate levels: \u001b[0m['L0', '2D', 'L1', 'L2']\n", + " \u001b[1mDate type: \u001b[0mfloat\n", + " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mKPFERA\u001b[0m\n", + " \u001b[1mComment: \u001b[0mCurrent era of KPF observations\n", + " \u001b[1mDatabase column: \u001b[0mNone\n", "\n" ] }, @@ -260,7 +260,7 @@ "import os\n", "from modules.Utils.kpf_parse import get_kpf_data, HeaderParse\n", "import modules.quality_control.src.quality_control as qc\n", - "from modules.quality_control.src.quality_control import test_all_QCs\n", + "from modules.quality_control.src.quality_control import execute_all_QCs\n", "from IPython.core.display import display, HTML\n", "\n", "myQCdef = qc.QCDefinitions()\n", @@ -291,15 +291,15 @@ "\u001b[1mL2 QC tests on KP.20230701.49940.99\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Star\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL2_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL2\u001b[0m; Timing consistency in L2 files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L2\u001b[0m (\u001b[1m\u001b[34mDATAPRL2\u001b[0m; All data present in L2.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2023-07-01 13:52:20.\n", - "INFO: QC result: \u001b[1;32m1.0\u001b[0m (True = pass)\n" + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m1.0\u001b[0m\n" ] } ], @@ -310,7 +310,7 @@ " print(f'\\033[1m{data_level} QC tests on {ObsID}\\033[0m')\n", " print(f'\\033[1m***********************************\\033[0m')\n", " kpf_object = get_kpf_data(ObsID, data_level)\n", - " test_all_QCs(kpf_object, data_level)" + " junk = execute_all_QCs(kpf_object, data_level)" ] }, { @@ -334,128 +334,120 @@ "\u001b[1mL0 QC tests on KP.20230701.49940.99\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Star\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", - "INFO: Method L0_data_products_check does not exist in qc_obj or another AttributeError occurred: 'KPF0' object has no attribute 'GUIDER_AVG'\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", - "INFO: Method L0_datetime_checks does not exist in qc_obj or another AttributeError occurred: 'KPF0' object has no attribute 'GUIDER_AVG'\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_data_products\u001b[0m (\u001b[1m\u001b[34mDATAPRL0\u001b[0m; Expected L0 data products present with non-zero array sizes.)\n", + "INFO: Method L0_data_products does not exist in qc_obj or another AttributeError occurred: 'KPF0' object has no attribute 'GUIDER_AVG'\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_header_keywords_present\u001b[0m (\u001b[1m\u001b[34mKWRDPRL0\u001b[0m; Expected L0 header keywords present.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL0\u001b[0m; Timing consistency in L0 header keywords and ExpMeter table.)\n", + "INFO: Method L0_datetime does not exist in qc_obj or another AttributeError occurred: 'KPF0' object has no attribute 'GUIDER_AVG'\n", + "INFO: Method exposure_meter_not_saturated does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Method exposure_meter_flux_not_negative does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2023-07-01 13:52:20.\n", - "INFO: QC result: \u001b[1;32m1.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m1.0\u001b[0m\n", "\n", "\u001b[1m2D QC tests on KP.20230701.49940.99\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Star\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type Star not in list of spectrum types: ['LFC']\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type Star not in list of spectrum types: ['Bias']\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type Star not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Not running QC: D2_lfc_flux (LFC frame that goes into a master has sufficient flux) because Star not in list of spectrum types: ['LFC']\n", + "INFO: Not running QC: data_2D_bias_low_flux (Flux is low in bias exposure.) because Star not in list of spectrum types: ['Bias']\n", + "INFO: Not running QC: data_2D_dark_low_flux (Flux is low in dark exposure.) because Star not in list of spectrum types: ['Dark']\n", + "INFO: Method data_2D_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_2D_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPR2D\u001b[0m; Red/Green CCD data present with expected array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2023-07-01 13:52:20.\n", - "INFO: QC result: \u001b[1;32m1.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m1.0\u001b[0m\n", "\n", "\u001b[1mL1 QC tests on KP.20230701.49940.99\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Star\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mmonotonic_wavelength_solution\u001b[0m (\u001b[1m\u001b[34mMONOTWLS\u001b[0m; Wavelength solution is monotonic.)\n", + "INFO: QC result: \u001b[1m\u001b[31mFalse\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L1_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPRL1\u001b[0m; Red/Green data present in L1 with expected shapes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method data_L1_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2023-07-01 13:52:20.\n", - "INFO: QC result: \u001b[1;32m1.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m1.0\u001b[0m\n", "\n", "\u001b[1mL2 QC tests on KP.20230701.49940.99\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Star\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL2_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL2\u001b[0m; Timing consistency in L2 files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L2\u001b[0m (\u001b[1m\u001b[34mDATAPRL2\u001b[0m; All data present in L2.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2023-07-01 13:52:20.\n", - "INFO: QC result: \u001b[1;32m1.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m1.0\u001b[0m\n", "\n", "\u001b[1mL0 QC tests on KP.20240525.77699.94\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Sun\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_data_products\u001b[0m (\u001b[1m\u001b[34mDATAPRL0\u001b[0m; Expected L0 data products present with non-zero array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_header_keywords_present\u001b[0m (\u001b[1m\u001b[34mKWRDPRL0\u001b[0m; Expected L0 header keywords present.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL0\u001b[0m; Timing consistency in L0 header keywords and ExpMeter table.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method exposure_meter_not_saturated does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Method exposure_meter_flux_not_negative does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-25 21:34:59.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1m2D QC tests on KP.20240525.77699.94\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Sun\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type Sun not in list of spectrum types: ['LFC']\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type Sun not in list of spectrum types: ['Bias']\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type Sun not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Not running QC: D2_lfc_flux (LFC frame that goes into a master has sufficient flux) because Sun not in list of spectrum types: ['LFC']\n", + "INFO: Not running QC: data_2D_bias_low_flux (Flux is low in bias exposure.) because Sun not in list of spectrum types: ['Bias']\n", + "INFO: Not running QC: data_2D_dark_low_flux (Flux is low in dark exposure.) because Sun not in list of spectrum types: ['Dark']\n", + "INFO: Method data_2D_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_2D_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPR2D\u001b[0m; Red/Green CCD data present with expected array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-25 21:34:59.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL1 QC tests on KP.20240525.77699.94\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Sun\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mmonotonic_wavelength_solution\u001b[0m (\u001b[1m\u001b[34mMONOTWLS\u001b[0m; Wavelength solution is monotonic.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L1_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPRL1\u001b[0m; Red/Green data present in L1 with expected shapes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method data_L1_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-25 21:34:59.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL2 QC tests on KP.20240525.77699.94\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Sun\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL2_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL2\u001b[0m; Timing consistency in L2 files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L2\u001b[0m (\u001b[1m\u001b[34mDATAPRL2\u001b[0m; All data present in L2.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-25 21:34:59.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL0 QC tests on KP.20240528.04120.26\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n" @@ -466,141 +458,115 @@ "output_type": "stream", "text": [ "INFO: Spectrum type: Bias\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_data_products\u001b[0m (\u001b[1m\u001b[34mDATAPRL0\u001b[0m; Expected L0 data products present with non-zero array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_header_keywords_present\u001b[0m (\u001b[1m\u001b[34mKWRDPRL0\u001b[0m; Expected L0 header keywords present.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL0\u001b[0m; Timing consistency in L0 header keywords and ExpMeter table.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method exposure_meter_not_saturated does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Method exposure_meter_flux_not_negative does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 01:08:40.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1m2D QC tests on KP.20240528.04120.26\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Bias\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type Bias not in list of spectrum types: ['LFC']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_bias_low_flux_check\u001b[0m (Flux is low in bias exposure.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type Bias not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Not running QC: D2_lfc_flux (LFC frame that goes into a master has sufficient flux) because Bias not in list of spectrum types: ['LFC']\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_2D_bias_low_flux\u001b[0m (\u001b[1m\u001b[34mLOWBIAS\u001b[0m; Flux is low in bias exposure.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Not running QC: data_2D_dark_low_flux (Flux is low in dark exposure.) because Bias not in list of spectrum types: ['Dark']\n", + "INFO: Method data_2D_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_2D_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPR2D\u001b[0m; Red/Green CCD data present with expected array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 01:08:40.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL1 QC tests on KP.20240528.04120.26\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Bias\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mmonotonic_wavelength_solution\u001b[0m (\u001b[1m\u001b[34mMONOTWLS\u001b[0m; Wavelength solution is monotonic.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L1_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPRL1\u001b[0m; Red/Green data present in L1 with expected shapes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method data_L1_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 01:08:40.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL0 QC tests on KP.20240528.08502.04\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Dark\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_data_products\u001b[0m (\u001b[1m\u001b[34mDATAPRL0\u001b[0m; Expected L0 data products present with non-zero array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_header_keywords_present\u001b[0m (\u001b[1m\u001b[34mKWRDPRL0\u001b[0m; Expected L0 header keywords present.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL0\u001b[0m; Timing consistency in L0 header keywords and ExpMeter table.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method exposure_meter_not_saturated does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Method exposure_meter_flux_not_negative does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:21:42.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1m2D QC tests on KP.20240528.08502.04\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Dark\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type Dark not in list of spectrum types: ['LFC']\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type Dark not in list of spectrum types: ['Bias']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_dark_low_flux_check\u001b[0m (Flux is low in dark exposure.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Not running QC: D2_lfc_flux (LFC frame that goes into a master has sufficient flux) because Dark not in list of spectrum types: ['LFC']\n", + "INFO: Not running QC: data_2D_bias_low_flux (Flux is low in bias exposure.) because Dark not in list of spectrum types: ['Bias']\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_2D_dark_low_flux\u001b[0m (\u001b[1m\u001b[34mLOWDARK\u001b[0m; Flux is low in dark exposure.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method data_2D_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_2D_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPR2D\u001b[0m; Red/Green CCD data present with expected array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:21:42.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL1 QC tests on KP.20240528.08502.04\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Dark\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mmonotonic_wavelength_solution\u001b[0m (\u001b[1m\u001b[34mMONOTWLS\u001b[0m; Wavelength solution is monotonic.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L1_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPRL1\u001b[0m; Red/Green data present in L1 with expected shapes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method data_L1_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:21:42.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL0 QC tests on KP.20240527.84455.02\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Flat\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_data_products\u001b[0m (\u001b[1m\u001b[34mDATAPRL0\u001b[0m; Expected L0 data products present with non-zero array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_header_keywords_present\u001b[0m (\u001b[1m\u001b[34mKWRDPRL0\u001b[0m; Expected L0 header keywords present.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL0\u001b[0m; Timing consistency in L0 header keywords and ExpMeter table.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method exposure_meter_not_saturated does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Method exposure_meter_flux_not_negative does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 23:27:35.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1m2D QC tests on KP.20240527.84455.02\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n", - "INFO: Spectrum type: Flat\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type Flat not in list of spectrum types: ['LFC']\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type Flat not in list of spectrum types: ['Bias']\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type Flat not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", - "INFO: The datetime of ObsID is 2024-05-27 23:27:35.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", - "\n", - "\u001b[1mL1 QC tests on KP.20240527.84455.02\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n" ] }, @@ -609,427 +575,417 @@ "output_type": "stream", "text": [ "INFO: Spectrum type: Flat\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Not running QC: D2_lfc_flux (LFC frame that goes into a master has sufficient flux) because Flat not in list of spectrum types: ['LFC']\n", + "INFO: Not running QC: data_2D_bias_low_flux (Flux is low in bias exposure.) because Flat not in list of spectrum types: ['Bias']\n", + "INFO: Not running QC: data_2D_dark_low_flux (Flux is low in dark exposure.) because Flat not in list of spectrum types: ['Dark']\n", + "INFO: Method data_2D_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_2D_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPR2D\u001b[0m; Red/Green CCD data present with expected array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 23:27:35.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", + "\n", + "\u001b[1mL1 QC tests on KP.20240527.84455.02\u001b[0m\n", + "\u001b[1m***********************************\u001b[0m\n", + "INFO: Spectrum type: Flat\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mmonotonic_wavelength_solution\u001b[0m (\u001b[1m\u001b[34mMONOTWLS\u001b[0m; Wavelength solution is monotonic.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L1_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPRL1\u001b[0m; Red/Green data present in L1 with expected shapes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method data_L1_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: The datetime of ObsID is 2024-05-27 23:27:35.\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL2 QC tests on KP.20240527.84455.02\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Flat\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL2_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL2\u001b[0m; Timing consistency in L2 files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L2\u001b[0m (\u001b[1m\u001b[34mDATAPRL2\u001b[0m; All data present in L2.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 23:27:35.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL0 QC tests on KP.20240526.11989.38\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: LFC\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_data_products\u001b[0m (\u001b[1m\u001b[34mDATAPRL0\u001b[0m; Expected L0 data products present with non-zero array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_header_keywords_present\u001b[0m (\u001b[1m\u001b[34mKWRDPRL0\u001b[0m; Expected L0 header keywords present.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL0\u001b[0m; Timing consistency in L0 header keywords and ExpMeter table.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method exposure_meter_not_saturated does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Method exposure_meter_flux_not_negative does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-26 03:19:49.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1m2D QC tests on KP.20240526.11989.38\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: LFC\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mD2_lfc_flux_check\u001b[0m (LFC frame that goes into a master has sufficient flux)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type LFC not in list of spectrum types: ['Bias']\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type LFC not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mD2_lfc_flux\u001b[0m (\u001b[1m\u001b[34mLFC2DFOK\u001b[0m; LFC frame that goes into a master has sufficient flux)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Not running QC: data_2D_bias_low_flux (Flux is low in bias exposure.) because LFC not in list of spectrum types: ['Bias']\n", + "INFO: Not running QC: data_2D_dark_low_flux (Flux is low in dark exposure.) because LFC not in list of spectrum types: ['Dark']\n", + "INFO: Method data_2D_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_2D_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPR2D\u001b[0m; Red/Green CCD data present with expected array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-26 03:19:49.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL1 QC tests on KP.20240526.11989.38\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: LFC\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mmonotonic_wavelength_solution\u001b[0m (\u001b[1m\u001b[34mMONOTWLS\u001b[0m; Wavelength solution is monotonic.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L1_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPRL1\u001b[0m; Red/Green data present in L1 with expected shapes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method data_L1_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-26 03:19:49.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL2 QC tests on KP.20240526.11989.38\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: LFC\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL2_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL2\u001b[0m; Timing consistency in L2 files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L2\u001b[0m (\u001b[1m\u001b[34mDATAPRL2\u001b[0m; All data present in L2.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-26 03:19:49.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL0 QC tests on KP.20240528.07447.61\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: ThAr\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_data_products\u001b[0m (\u001b[1m\u001b[34mDATAPRL0\u001b[0m; Expected L0 data products present with non-zero array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_header_keywords_present\u001b[0m (\u001b[1m\u001b[34mKWRDPRL0\u001b[0m; Expected L0 header keywords present.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL0\u001b[0m; Timing consistency in L0 header keywords and ExpMeter table.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method exposure_meter_not_saturated does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Method exposure_meter_flux_not_negative does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:04:07.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1m2D QC tests on KP.20240528.07447.61\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n", + "\u001b[1m***********************************\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "INFO: Spectrum type: ThAr\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type ThAr not in list of spectrum types: ['LFC']\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type ThAr not in list of spectrum types: ['Bias']\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type ThAr not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Not running QC: D2_lfc_flux (LFC frame that goes into a master has sufficient flux) because ThAr not in list of spectrum types: ['LFC']\n", + "INFO: Not running QC: data_2D_bias_low_flux (Flux is low in bias exposure.) because ThAr not in list of spectrum types: ['Bias']\n", + "INFO: Not running QC: data_2D_dark_low_flux (Flux is low in dark exposure.) because ThAr not in list of spectrum types: ['Dark']\n", + "INFO: Method data_2D_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_2D_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPR2D\u001b[0m; Red/Green CCD data present with expected array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:04:07.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL1 QC tests on KP.20240528.07447.61\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: ThAr\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mmonotonic_wavelength_solution\u001b[0m (\u001b[1m\u001b[34mMONOTWLS\u001b[0m; Wavelength solution is monotonic.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L1_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPRL1\u001b[0m; Red/Green data present in L1 with expected shapes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method data_L1_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:04:07.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL2 QC tests on KP.20240528.07447.61\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: ThAr\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL2_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL2\u001b[0m; Timing consistency in L2 files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L2\u001b[0m (\u001b[1m\u001b[34mDATAPRL2\u001b[0m; All data present in L2.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:04:07.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL0 QC tests on KP.20240527.11183.00\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: UNe\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_data_products\u001b[0m (\u001b[1m\u001b[34mDATAPRL0\u001b[0m; Expected L0 data products present with non-zero array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_header_keywords_present\u001b[0m (\u001b[1m\u001b[34mKWRDPRL0\u001b[0m; Expected L0 header keywords present.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL0\u001b[0m; Timing consistency in L0 header keywords and ExpMeter table.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method exposure_meter_not_saturated does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Method exposure_meter_flux_not_negative does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 03:06:23.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1m2D QC tests on KP.20240527.11183.00\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: UNe\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type UNe not in list of spectrum types: ['LFC']\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type UNe not in list of spectrum types: ['Bias']\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type UNe not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Not running QC: D2_lfc_flux (LFC frame that goes into a master has sufficient flux) because UNe not in list of spectrum types: ['LFC']\n", + "INFO: Not running QC: data_2D_bias_low_flux (Flux is low in bias exposure.) because UNe not in list of spectrum types: ['Bias']\n", + "INFO: Not running QC: data_2D_dark_low_flux (Flux is low in dark exposure.) because UNe not in list of spectrum types: ['Dark']\n", + "INFO: Method data_2D_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_2D_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPR2D\u001b[0m; Red/Green CCD data present with expected array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 03:06:23.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL1 QC tests on KP.20240527.11183.00\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: UNe\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mmonotonic_wavelength_solution\u001b[0m (\u001b[1m\u001b[34mMONOTWLS\u001b[0m; Wavelength solution is monotonic.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L1_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPRL1\u001b[0m; Red/Green data present in L1 with expected shapes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method data_L1_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 03:06:23.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL2 QC tests on KP.20240527.11183.00\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: UNe\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL2_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL2\u001b[0m; Timing consistency in L2 files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L2\u001b[0m (\u001b[1m\u001b[34mDATAPRL2\u001b[0m; All data present in L2.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 03:06:23.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL0 QC tests on KP.20240528.05681.26\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Etalon\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_data_products\u001b[0m (\u001b[1m\u001b[34mDATAPRL0\u001b[0m; Expected L0 data products present with non-zero array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_header_keywords_present\u001b[0m (\u001b[1m\u001b[34mKWRDPRL0\u001b[0m; Expected L0 header keywords present.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL0\u001b[0m; Timing consistency in L0 header keywords and ExpMeter table.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method exposure_meter_not_saturated does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Method exposure_meter_flux_not_negative does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 01:34:41.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1m2D QC tests on KP.20240528.05681.26\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n", + "\u001b[1m***********************************\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "INFO: Spectrum type: Etalon\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type Etalon not in list of spectrum types: ['LFC']\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type Etalon not in list of spectrum types: ['Bias']\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type Etalon not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Not running QC: D2_lfc_flux (LFC frame that goes into a master has sufficient flux) because Etalon not in list of spectrum types: ['LFC']\n", + "INFO: Not running QC: data_2D_bias_low_flux (Flux is low in bias exposure.) because Etalon not in list of spectrum types: ['Bias']\n", + "INFO: Not running QC: data_2D_dark_low_flux (Flux is low in dark exposure.) because Etalon not in list of spectrum types: ['Dark']\n", + "INFO: Method data_2D_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_2D_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPR2D\u001b[0m; Red/Green CCD data present with expected array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 01:34:41.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL1 QC tests on KP.20240528.05681.26\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Etalon\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mmonotonic_wavelength_solution\u001b[0m (\u001b[1m\u001b[34mMONOTWLS\u001b[0m; Wavelength solution is monotonic.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L1_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPRL1\u001b[0m; Red/Green data present in L1 with expected shapes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method data_L1_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 01:34:41.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL2 QC tests on KP.20240528.05681.26\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Etalon\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL2_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL2\u001b[0m; Timing consistency in L2 files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L2\u001b[0m (\u001b[1m\u001b[34mDATAPRL2\u001b[0m; All data present in L2.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 01:34:41.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL0 QC tests on KP.20240527.51851.54\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Etalon\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_data_products\u001b[0m (\u001b[1m\u001b[34mDATAPRL0\u001b[0m; Expected L0 data products present with non-zero array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_header_keywords_present\u001b[0m (\u001b[1m\u001b[34mKWRDPRL0\u001b[0m; Expected L0 header keywords present.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL0\u001b[0m; Timing consistency in L0 header keywords and ExpMeter table.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method exposure_meter_not_saturated does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Method exposure_meter_flux_not_negative does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 14:24:11.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1m2D QC tests on KP.20240527.51851.54\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Etalon\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type Etalon not in list of spectrum types: ['LFC']\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type Etalon not in list of spectrum types: ['Bias']\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type Etalon not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Not running QC: D2_lfc_flux (LFC frame that goes into a master has sufficient flux) because Etalon not in list of spectrum types: ['LFC']\n", + "INFO: Not running QC: data_2D_bias_low_flux (Flux is low in bias exposure.) because Etalon not in list of spectrum types: ['Bias']\n", + "INFO: Not running QC: data_2D_dark_low_flux (Flux is low in dark exposure.) because Etalon not in list of spectrum types: ['Dark']\n", + "INFO: Method data_2D_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_2D_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPR2D\u001b[0m; Red/Green CCD data present with expected array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 14:24:11.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL1 QC tests on KP.20240527.51851.54\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Etalon\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mmonotonic_wavelength_solution\u001b[0m (\u001b[1m\u001b[34mMONOTWLS\u001b[0m; Wavelength solution is monotonic.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L1_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPRL1\u001b[0m; Red/Green data present in L1 with expected shapes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method data_L1_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 14:24:11.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL2 QC tests on KP.20240527.51851.54\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: Etalon\n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL2_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL2\u001b[0m; Timing consistency in L2 files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L2\u001b[0m (\u001b[1m\u001b[34mDATAPRL2\u001b[0m; All data present in L2.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-27 14:24:11.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL0 QC tests on KP.20240528.07772.51\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: \n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_data_products_check\u001b[0m (Expected L0 data products present with non-zero array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_header_keywords_present_check\u001b[0m (Expected L0 header keywords present.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL0_datetime_checks\u001b[0m (Timing consistency in L0 header keywords and ExpMeter table.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_not_saturated_check\u001b[0m (2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mexposure_meter_flux_not_negative_check\u001b[0m (Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.)\n", - "INFO: QC result: \u001b[1;31mFalse\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_data_products\u001b[0m (\u001b[1m\u001b[34mDATAPRL0\u001b[0m; Expected L0 data products present with non-zero array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_header_keywords_present\u001b[0m (\u001b[1m\u001b[34mKWRDPRL0\u001b[0m; Expected L0 header keywords present.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL0_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL0\u001b[0m; Timing consistency in L0 header keywords and ExpMeter table.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method exposure_meter_not_saturated does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Method exposure_meter_flux_not_negative does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:09:32.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1m2D QC tests on KP.20240528.07772.51\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n", + "\u001b[1m***********************************\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "INFO: Spectrum type: \n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Not running QC: D2_lfc_flux_check (LFC frame that goes into a master has sufficient flux) because spectrum type not in list of spectrum types: ['LFC']\n", - "INFO: Not running QC: data_2D_bias_low_flux_check (Flux is low in bias exposure.) because spectrum type not in list of spectrum types: ['Bias']\n", - "INFO: Not running QC: data_2D_dark_low_flux_check (Flux is low in dark exposure.) because spectrum type not in list of spectrum types: ['Dark']\n", - "INFO: Running QC: \u001b[1;34mdata_2D_CaHK_check\u001b[0m (CaHK CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_2D_red_green_check\u001b[0m (Red/Green CCD data present with expected array sizes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Not running QC: D2_lfc_flux (LFC frame that goes into a master has sufficient flux) because not in list of spectrum types: ['LFC']\n", + "INFO: Not running QC: data_2D_bias_low_flux (Flux is low in bias exposure.) because not in list of spectrum types: ['Bias']\n", + "INFO: Not running QC: data_2D_dark_low_flux (Flux is low in dark exposure.) because not in list of spectrum types: ['Dark']\n", + "INFO: Method data_2D_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_2D_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPR2D\u001b[0m; Red/Green CCD data present with expected array sizes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:09:32.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL1 QC tests on KP.20240528.07772.51\u001b[0m\n", "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: \n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mmonotonic_wavelength_solution_check\u001b[0m (Wavelength solution is monotonic.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_red_green_check\u001b[0m (Red/Green data present in L1 with expected shapes.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L1_CaHK_check\u001b[0m (CaHK data present in L1 with expected shape.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mmonotonic_wavelength_solution\u001b[0m (\u001b[1m\u001b[34mMONOTWLS\u001b[0m; Wavelength solution is monotonic.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L1_red_green\u001b[0m (\u001b[1m\u001b[34mDATAPRL1\u001b[0m; Red/Green data present in L1 with expected shapes.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Method data_L1_CaHK does not exist in qc_obj or another AttributeError occurred: 'Header' object has no attribute 'header'\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:09:32.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n", "\u001b[1mL2 QC tests on KP.20240528.07772.51\u001b[0m\n", - "\u001b[1m***********************************\u001b[0m\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "\u001b[1m***********************************\u001b[0m\n", "INFO: Spectrum type: \n", - "INFO: Running QC: \u001b[1;34mnot_junk_check\u001b[0m (File is not in list of junk files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mL2_datetime_checks\u001b[0m (Timing consistency in L2 files.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34mdata_L2_check\u001b[0m (All data present in L2.)\n", - "INFO: QC result: \u001b[1;32mTrue\u001b[0m (True = pass)\n", - "INFO: Running QC: \u001b[1;34madd_kpfera\u001b[0m (Not a QC test; used to add the KPFERA keyword to header.)\n", + "INFO: Running QC: \u001b[1m\u001b[34mnot_junk\u001b[0m (\u001b[1m\u001b[34mNOTJUNK\u001b[0m; File is not in list of junk files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mL2_datetime\u001b[0m (\u001b[1m\u001b[34mTIMCHKL2\u001b[0m; Timing consistency in L2 files.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34mdata_L2\u001b[0m (\u001b[1m\u001b[34mDATAPRL2\u001b[0m; All data present in L2.)\n", + "INFO: QC result: \u001b[1m\u001b[32mTrue\u001b[0m (True = pass)\n", + "INFO: Running QC: \u001b[1m\u001b[34madd_kpfera\u001b[0m (\u001b[1m\u001b[34mKPFERA\u001b[0m; Not a QC test; used to add the KPFERA keyword to header.)\n", "INFO: The datetime of ObsID is 2024-05-28 02:09:32.\n", - "INFO: QC result: \u001b[1m2.0\u001b[0m (True = pass)\n", + "INFO: Result: \u001b[1m\u001b[34mKPFERA\u001b[0m=\u001b[1m2.0\u001b[0m\n", "\n" ] }, @@ -1072,7 +1028,7 @@ " print(f'\\033[1m{data_level} QC tests on {ObsID}\\033[0m')\n", " print(f'\\033[1m***********************************\\033[0m')\n", " kpf_object = get_kpf_data(ObsID, data_level)\n", - " test_all_QCs(kpf_object, data_level)\n", + " junk = execute_all_QCs(kpf_object, data_level)\n", " print()\n", " \n", "# prevent scrolling in the resulting Notebook cell\n", diff --git a/modules/quality_control/src/quality_control.py b/modules/quality_control/src/quality_control.py index d58fa2258..79e207c75 100644 --- a/modules/quality_control/src/quality_control.py +++ b/modules/quality_control/src/quality_control.py @@ -233,7 +233,7 @@ def __init__(self, logger=None): self.fits_comments[name0] = 'QC: J-B test for RED AMP-1 detector' self.db_columns[name0] = None - name1 = 'not_junk_check' + name1 = 'not_junk' self.names.append(name1) self.descriptions[name1] = 'File is not in list of junk files.' self.kpf_data_levels[name1] = ['L0', '2D', 'L1', 'L2'] @@ -244,7 +244,7 @@ def __init__(self, logger=None): self.fits_comments[name1] = 'QC: Not in list of junk files' self.db_columns[name1] = None - name2 = 'monotonic_wavelength_solution_check' + name2 = 'monotonic_wavelength_solution' self.names.append(name2) self.descriptions[name2] = 'Wavelength solution is monotonic.' self.kpf_data_levels[name2] = ['L1'] @@ -255,7 +255,7 @@ def __init__(self, logger=None): self.fits_comments[name2] = 'QC: Monotonic wavelength-solution' self.db_columns[name2] = None - name3 = 'L0_data_products_check' + name3 = 'L0_data_products' self.names.append(name3) self.kpf_data_levels[name3] = ['L0'] self.descriptions[name3] = 'Expected L0 data products present with non-zero array sizes.' @@ -266,7 +266,7 @@ def __init__(self, logger=None): self.fits_comments[name3] = 'QC: L0 data present' self.db_columns[name3] = None - name4 = 'L0_header_keywords_present_check' + name4 = 'L0_header_keywords_present' self.names.append(name4) self.kpf_data_levels[name4] = ['L0'] self.descriptions[name4] = 'Expected L0 header keywords present.' @@ -277,7 +277,7 @@ def __init__(self, logger=None): self.fits_comments[name4] = 'QC: L0 keywords present' self.db_columns[name4] = None - name5 = 'L0_datetime_checks' + name5 = 'L0_datetime' self.names.append(name5) self.kpf_data_levels[name5] = ['L0'] self.descriptions[name5] = 'Timing consistency in L0 header keywords and ExpMeter table.' @@ -288,7 +288,7 @@ def __init__(self, logger=None): self.fits_comments[name5] = 'QC: L0 times consistent' self.db_columns[name5] = None - name5b = 'L2_datetime_checks' + name5b = 'L2_datetime' self.names.append(name5b) self.kpf_data_levels[name5b] = ['L2'] self.descriptions[name5b] = 'Timing consistency in L2 files.' @@ -299,7 +299,7 @@ def __init__(self, logger=None): self.fits_comments[name5b] = 'QC: L2 times consistent' self.db_columns[name5b] = None - name6 = 'exposure_meter_not_saturated_check' + name6 = 'exposure_meter_not_saturated' self.names.append(name6) self.kpf_data_levels[name6] = ['L0'] self.descriptions[name6] = '2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.' @@ -310,7 +310,7 @@ def __init__(self, logger=None): self.fits_comments[name6] = 'QC: EM not saturated' self.db_columns[name6] = None - name7 = 'exposure_meter_flux_not_negative_check' + name7 = 'exposure_meter_flux_not_negative' self.names.append(name7) self.kpf_data_levels[name7] = ['L0'] self.descriptions[name7] = 'Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.' @@ -321,7 +321,7 @@ def __init__(self, logger=None): self.fits_comments[name7] = 'QC: EM not negative flux' self.db_columns[name7] = None - name8 = 'D2_lfc_flux_check' + name8 = 'D2_lfc_flux' self.names.append(name8) self.kpf_data_levels[name8] = ['2D'] self.descriptions[name8] = 'LFC frame that goes into a master has sufficient flux' @@ -332,7 +332,7 @@ def __init__(self, logger=None): self.fits_comments[name8] = 'QC: LFC flux meets threshold of 4000 counts' self.db_columns[name8] = None - name9 = 'data_2D_bias_low_flux_check' + name9 = 'data_2D_bias_low_flux' self.names.append(name9) self.kpf_data_levels[name9] = ['2D'] self.descriptions[name9] = 'Flux is low in bias exposure.' @@ -343,7 +343,7 @@ def __init__(self, logger=None): self.fits_comments[name9] = 'QC: 2D bias low flux check' self.db_columns[name9] = None - name10 = 'data_2D_dark_low_flux_check' + name10 = 'data_2D_dark_low_flux' self.names.append(name10) self.kpf_data_levels[name10] = ['2D'] self.descriptions[name10] = 'Flux is low in dark exposure.' @@ -354,7 +354,7 @@ def __init__(self, logger=None): self.fits_comments[name10] = 'QC: 2D dark low flux check' self.db_columns[name10] = None - name11 = 'data_L1_red_green_check' + name11 = 'data_L1_red_green' self.names.append(name11) self.kpf_data_levels[name11] = ['L1'] self.data_types[name11] = 'int' @@ -365,7 +365,7 @@ def __init__(self, logger=None): self.fits_comments[name11] = 'QC: L1 red and green data present check' self.db_columns[name11] = None - name12 = 'data_L1_CaHK_check' + name12 = 'data_L1_CaHK' self.names.append(name12) self.kpf_data_levels[name12] = ['L1'] self.descriptions[name12] = 'CaHK data present in L1 with expected shape.' @@ -376,7 +376,7 @@ def __init__(self, logger=None): self.fits_comments[name12] = 'QC: L1 CaHK present check' self.db_columns[name12] = None - name13 = 'data_L2_check' + name13 = 'data_L2' self.names.append(name13) self.kpf_data_levels[name13] = ['L2'] self.descriptions[name13] = 'All data present in L2.' @@ -387,7 +387,7 @@ def __init__(self, logger=None): self.fits_comments[name13] = 'QC: L2 data present check' self.db_columns[name13] = None - name14 = 'data_2D_CaHK_check' + name14 = 'data_2D_CaHK' self.names.append(name14) self.kpf_data_levels[name14] = ['2D'] self.descriptions[name14] = 'CaHK CCD data present with expected array sizes.' @@ -398,7 +398,7 @@ def __init__(self, logger=None): self.fits_comments[name14] = 'QC: 2D CaHK data present check' self.db_columns[name14] = None - name15 = 'data_2D_red_green_check' + name15 = 'data_2D_red_green' self.names.append(name15) self.kpf_data_levels[name15] = ['2D'] self.descriptions[name15] = 'Red/Green CCD data present with expected array sizes.' @@ -523,7 +523,7 @@ def add_qc_keyword_to_header(self, qc_name, value, debug=False): print('---->add_qc_keyword_to_header: qc_name, keyword, value, comment = {}, {}, {}, {}'.format(qc_name,keyword,value,comment)) - def not_junk_check(self, junk_ObsIDs_csv='/data/reference/Junk_Observations_for_KPF.csv', debug=False): + def not_junk(self, junk_ObsIDs_csv='/data/reference/Junk_Observations_for_KPF.csv', debug=False): """ This Quality Control method can be used in any of the data levels (L0/2D/L1/L2) so it is included in the superclass. @@ -668,7 +668,7 @@ def __init__(self,kpf_object): super().__init__(kpf_object) - def L0_data_products_check(self, debug=False): + def L0_data_products(self, debug=False): """ This Quality Control function checks if the expected data_products in an L0 file are present and if their data extensions are populated @@ -716,12 +716,12 @@ def L0_data_products_check(self, debug=False): if not dp in data_products_present: QC_pass = False if debug: - self.logger.info(dp + ' not present in L0 file. QC(L0_data_products_check) failed.') + self.logger.info(dp + ' not present in L0 file. QC(L0_data_products) failed.') return QC_pass - def L0_header_keywords_present_check(self, essential_keywords=['auto'], debug=False): + def L0_header_keywords_present(self, essential_keywords=['auto'], debug=False): """ This Quality Control function checks if a specified set of FITS header keywords are present. @@ -784,7 +784,7 @@ def L0_header_keywords_present_check(self, essential_keywords=['auto'], debug=Fa return QC_pass - def L0_datetime_checks(self, debug=False): + def L0_datetime(self, debug=False): """ This QC module performs the following checks on datetimes in the L0 primary header and in the Exposure Meter table (if present). The timing checks have precision @@ -924,7 +924,7 @@ def L0_datetime_checks(self, debug=False): return QC_pass - def exposure_meter_not_saturated_check(self, debug=False): + def exposure_meter_not_saturated(self, debug=False): """ This Quality Control function checks if 2 or more reduced pixels in an exposure meter spectrum is within 90% of saturated. The check is applied to the EM-SCI @@ -992,7 +992,7 @@ def exposure_meter_not_saturated_check(self, debug=False): return QC_pass - def exposure_meter_flux_not_negative_check(self, debug=False): + def exposure_meter_flux_not_negative(self, debug=False): """ This Quality Control function checks if 20 or more consecutive elements of the exposure meter spectra are negative. Negative flux usually indicates @@ -1065,7 +1065,7 @@ class QC2D(QC): def __init__(self,kpf_object): super().__init__(kpf_object) - def data_2D_red_green_check(self,debug=False): + def data_2D_red_green(self,debug=False): """ This Quality Control function checks if the 2D data exists for both the red and green chips and checks that the sizes of the arrays are as expected. @@ -1120,7 +1120,7 @@ def data_2D_red_green_check(self,debug=False): return QC_pass - def data_2D_CaHK_check(self,debug=False): + def data_2D_CaHK(self,debug=False): """ This Quality Control function checks if the 2D data exists for the Ca H&K chip and checks that the size of the array is as expected. @@ -1160,7 +1160,7 @@ def data_2D_CaHK_check(self,debug=False): return QC_pass - def data_2D_bias_low_flux_check(self,debug=False): + def data_2D_bias_low_flux(self,debug=False): """ This Quality Control function checks if the flux is low (mean flux < 10) for a bias exposure. @@ -1198,7 +1198,7 @@ def data_2D_bias_low_flux_check(self,debug=False): return QC_pass - def data_2D_dark_low_flux_check(self,debug=False): + def data_2D_dark_low_flux(self,debug=False): """ This Quality Control function checks if the flux is low (mean flux < 10) for a dark exposure. @@ -1236,7 +1236,7 @@ def data_2D_dark_low_flux_check(self,debug=False): return QC_pass - def D2_lfc_flux_check(self, threshold=4000, debug=False): + def D2_lfc_flux(self, threshold=4000, debug=False): """ This Quality Control function checks if the flux values in the green and red chips of the given 2D file are above a defined threshold at the 98th percentile. @@ -1281,7 +1281,7 @@ def __init__(self,kpf_object): super().__init__(kpf_object) - def monotonic_wavelength_solution_check(self,debug=False): + def monotonic_wavelength_solution(self,debug=False): """ This Quality Control function checks if a wavelength solution is monotonic, specifically if wavelength decreases (or stays constant) with @@ -1367,7 +1367,7 @@ def monotonic_wavelength_solution_check(self,debug=False): return QC_pass #, bad_orders - def data_L1_red_green_check(self,debug=False): + def data_L1_red_green(self,debug=False): """ This Quality Control function checks if the red and green data are present in an L1 file, and that all array sizes are as expected. @@ -1455,7 +1455,7 @@ def data_L1_red_green_check(self,debug=False): return QC_pass - def data_L1_CaHK_check(self,debug=False): + def data_L1_CaHK(self,debug=False): """ This Quality Control function checks if the green and red data are present in an L1 file, and that all array sizes are as expected. @@ -1522,7 +1522,7 @@ class QCL2(QC): def __init__(self,kpf_object): super().__init__(kpf_object) - def data_L2_check(self,debug=False): + def data_L2(self,debug=False): """ This Quality Control function checks if all of the expected data (telemetry, CCFs, and RVs) are present. @@ -1623,7 +1623,7 @@ def data_L2_check(self,debug=False): return QC_pass - def L2_datetime_checks(self, debug=False): + def L2_datetime(self, debug=False): """ This QC module performs the following checks on datetimes in the header to the RV extension in an L2 object. The timing checks have precision From f65bac4b1caf001fd2a88d75c800f5e5380b06b6 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Sat, 1 Jun 2024 22:47:56 -0700 Subject: [PATCH 51/84] added csv files for keywords --- static/tsdb_keywords/d2_primary_keywords.csv | 62 +++++++++ static/tsdb_keywords/l0_primary_keywords.csv | 45 +++++++ .../tsdb_keywords/l0_telemetry_keywords.csv | 124 ++++++++++++++++++ static/tsdb_keywords/l1_primary_keywords.csv | 63 +++++++++ static/tsdb_keywords/l2_primary_keywords.csv | 2 + static/tsdb_keywords/l2_rv_keywords.csv | 33 +++++ 6 files changed, 329 insertions(+) create mode 100644 static/tsdb_keywords/d2_primary_keywords.csv create mode 100644 static/tsdb_keywords/l0_primary_keywords.csv create mode 100644 static/tsdb_keywords/l0_telemetry_keywords.csv create mode 100644 static/tsdb_keywords/l1_primary_keywords.csv create mode 100644 static/tsdb_keywords/l2_primary_keywords.csv create mode 100644 static/tsdb_keywords/l2_rv_keywords.csv diff --git a/static/tsdb_keywords/d2_primary_keywords.csv b/static/tsdb_keywords/d2_primary_keywords.csv new file mode 100644 index 000000000..0886b331d --- /dev/null +++ b/static/tsdb_keywords/d2_primary_keywords.csv @@ -0,0 +1,62 @@ +keyword|datatype|comment +BIASFILE|string|Master bias file used (except for bias exposures) +DARKFILE|string|Master dark file used (except for dark exposures) +FLATFILE|string|Master flat file used (except for ?? exposures) +BIASDIR|string|Directory for BIASDIR (keyword to be added) +DARKDIR|string|Directory for DARKDIR (keyword to be added) +FLATDIR|string|Directory for FLATDIR (keyword to be added) +DRPTAG|string|Git version number of KPF-Pipeline used for processing +DRPHASH|string|Git commit hash version of KPF-Pipeline used for processing +NOTJUNK|float|Quality Control: 1 = not in the list of junk files check; this QC is rerun on L1 and L2 +DATAPRL0|float|Quality Control: 1 = L0 data products present with non-zero array sizes +KWRDPRL0|float|Quality Control: 1 = L0 expected keywords present +TIMCHKL0|string|Quality Control: 1 = consistent times in L0 file +EMSAT|float|Quality Control: 1 = Exp Meter not saturated; 0 = 2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY +EMNEG|float|Quality Control: 1 = Exp Meter not negative flux; 0 = 20+ consecutive pixels in summed spectra with negative flux +RNRED1|float|Read noise for RED_AMP1 [e-] (first amplifier region on Red CCD) +RNRED2|float|Read noise for RED_AMP2 [e-] (second amplifier region on Red CCD) +RNGREEN1|float|Read noise for GREEN_AMP1 [e-] (first amplifier region on Green CCD) +RNGREEN2|float|Read noise for GREEN_AMP2 [e-] (second amplifier region on Green CCD) +GREENTRT|float|Green CCD read time [sec] +REDTRT|float|Red CCD read time [sec] +READSPED|string|Categorization of CCD read speed ('regular' or 'fast') +FLXREG1G|float|Dark current [e-/hr] - Green CCD region 1 - coords = [1690:1990,1690:1990] +FLXREG2G|float|Dark current [e-/hr] - Green CCD region 2 - coords = [1690:1990,2090:2390] +FLXREG3G|float|Dark current [e-/hr] - Green CCD region 3 - coords = [2090:2390,1690:1990] +FLXREG4G|float|Dark current [e-/hr] - Green CCD region 4 - coords = [2090:2390,2090:2390] +FLXREG5G|float|Dark current [e-/hr] - Green CCD region 5 - coords = [80:380,3080:3380] +FLXREG6G|float|Dark current [e-/hr] - Green CCD region 6 - coords = [1690:1990,1690:1990] +FLXAMP1G|float|Dark current [e-/hr] - Green CCD amplifier region 1 - coords = [3700:4000,700:1000] +FLXAMP2G|float|Dark current [e-/hr] - Green CCD amplifier region 2 - coords = [3700:4000,3080:3380] +FLXCOLLG|float|Dark current [e-/hr] - Green CCD collimator-side region = [3700:4000,700:1000] +FLXECHG| float|Dark current [e-/hr] - Green CCD echelle-side region = [3700:4000,700:1000] +FLXREG1R|float|Dark current [e-/hr] - Red CCD region 1 - coords = [1690:1990,1690:1990] +FLXREG2R|float|Dark current [e-/hr] - Red CCD region 2 - coords = [1690:1990,2090:2390] +FLXREG3R|float|Dark current [e-/hr] - Red CCD region 3 - coords = [2090:2390,1690:1990] +FLXREG4R|float|Dark current [e-/hr] - Red CCD region 4 - coords = [2090:2390,2090:2390] +FLXREG5R|float|Dark current [e-/hr] - Red CCD region 5 - coords = [80:380,3080:3380] +FLXREG6R|float|Dark current [e-/hr] - Red CCD region 6 - coords = [1690:1990,1690:1990] +FLXAMP1R|float|Dark current [e-/hr] - Red CCD amplifier region 1 = [3700:4000,700:1000] +FLXAMP2R|float|Dark current [e-/hr] - Red CCD amplifier region 2 = [3700:4000,3080:3380] +FLXCOLLR|float|Dark current [e-/hr] - Red CCD collimator-side region = [3700:4000,700:1000] +FLXECHR|float|Dark current [e-/hr] - Red CCD echelle-side region = [3700:4000,700:1000] +GDRXRMS|float|x-coordinate RMS guiding error in milliarcsec (mas) +GDRYRMS|float|y-coordinate RMS guiding error in milliarcsec (mas) +GDRRRMS|float|r-coordinate RMS guiding error in milliarcsec (mas) +GDRXBIAS|float|x-coordinate bias guiding error in milliarcsec (mas) +GDRYBIAS|float|y-coordinate bias guiding error in milliarcsec (mas) +GDRSEEJZ|float|Seeing (arcsec) in J+Z-band from Moffat func fit +GDRSEEV|float|Scaled seeing (arcsec) in V-band from J+Z-band +MOONSEP|float|Separation between Moon and target star (deg) +SUNALT|float|Altitude of Sun (deg); negative = below horizon +SKYSCIMS|float|SKY/SCI flux ratio in main spectrometer scaled from EM data. +EMSCCT48|float|cumulative EM counts [ADU] in SCI in 445-870 nm +EMSCCT45|float|cumulative EM counts [ADU] in SCI in 445-551 nm +EMSCCT56|float|cumulative EM counts [ADU] in SCI in 551-658 nm +EMSCCT67|float|cumulative EM counts [ADU] in SCI in 658-764 nm +EMSCCT78|float|cumulative EM counts [ADU] in SCI in 764-870 nm +EMSKCT48|float|cumulative EM counts [ADU] in SKY in 445-870 nm +EMSKCT45|float|cumulative EM counts [ADU] in SKY in 445-551 nm +EMSKCT56|float|cumulative EM counts [ADU] in SKY in 551-658 nm +EMSKCT67|float|cumulative EM counts [ADU] in SKY in 658-764 nm +EMSKCT78|float|cumulative EM counts [ADU] in SKY in 764-870 nm diff --git a/static/tsdb_keywords/l0_primary_keywords.csv b/static/tsdb_keywords/l0_primary_keywords.csv new file mode 100644 index 000000000..9afdc099c --- /dev/null +++ b/static/tsdb_keywords/l0_primary_keywords.csv @@ -0,0 +1,45 @@ +keyword|datatype|comment +DATE-MID|datetime|Halfway point of the (unweighted) exposure +DATE-BEG|datetime|Start of exposure from kpfexpose +DATE-END|datetime|End of exposure from kpfexpose.ENDTIME +GRDATE-B|datetime|Shutter-open time Kwd green DATE-BEG +GRDATE-E|datetime|Shutter-close time Kwd green DATE-END +RDDATE-B|datetime|Shutter-open time Kwd red DATE-BEG +RDDATE-E|datetime|Shutter-close time Kwd red DATE-END +EMDATE-B|datetime|Date-Beg of first observation Kwd expmeter +EMDATE-E|datetime|Date-End of last observation Kwd expmeter +GCDATE-B|datetime|sequence begin Kwd guide DATE-BEG +GCDATE-E|datetime|sequence end Kwd guide DATE-END +MJD-OBS|float|comment +EXPTIME|float|comment +ELAPSED|float|comment +FRAMENO|int|comment +PROGNAME|string|comment +TARGRA|string|comment +TARGDEC|string|comment +EL|float|comment +AZ|float|comment +OBJECT|string|comment +GAIAMAG|float|comment +2MASSMAG|float|comment +AIRMASS|float|comment +IMTYPE|string|comment +GREEN|string|comment +RED|string|comment +GREEN|string|comment +CA_HK|string|comment +EXPMETER|string|comment +GUIDE|string|comment +SKY-OBJ|string|comment +SCI-OBJ|string|comment +AGITSTA|string|comment +FIUMODE|string|FIU operating mode - Observing = on-sky +ETAV1C1T|float|Etalon Vescent 1 Channel 1 temperature +ETAV1C2T|float|Etalon Vescent 1 Channel 2 temperature +ETAV1C3T|float|Etalon Vescent 1 Channel 3 temperature +ETAV1C4T|float|Etalon Vescent 1 Channel 4 temperature +ETAV2C3T|float|Etalon Vescent 2 Channel 3 temperature +TOTCORR|string|need to correct this to split 498.12 604.38 710.62 816.88 / Wavelength of EM bins in nm +USTHRSH|string|comment +THRSHLD|float|comment +THRSBIN|float|comment diff --git a/static/tsdb_keywords/l0_telemetry_keywords.csv b/static/tsdb_keywords/l0_telemetry_keywords.csv new file mode 100644 index 000000000..4adf510ab --- /dev/null +++ b/static/tsdb_keywords/l0_telemetry_keywords.csv @@ -0,0 +1,124 @@ +keyword|datatype|comment +kpfmet.BENCH_BOTTOM_BETWEEN_CAMERAS|float|degC; Bench Bottom Between Cameras C2 +kpfmet.BENCH_BOTTOM_COLLIMATOR|float|degC; Bench Bottom Coll C3 +kpfmet.BENCH_BOTTOM_DCUT|float|degC; Bench Bottom D-cut C4 +kpfmet.BENCH_BOTTOM_ECHELLE|float|degC; Bench Bottom Echelle Cam B +kpfmet.BENCH_TOP_BETWEEN_CAMERAS|float|degC; Bench Top Between Cameras D4 +kpfmet.BENCH_TOP_COLL|float|degC; Bench Top Coll D5 +kpfmet.BENCH_TOP_DCUT|float|degC; Bench Top D-cut D3 +kpfmet.BENCH_TOP_ECHELLE_CAM|float|degC; Bench Top Echelle Cam D1 +kpfmet.CALEM_SCMBLR_CHMBR_END|float|degC; Cal EM Scrammbler Chamber End C1 +kpfmet.CALEM_SCMBLR_FIBER_END|float|degC; Cal EM Scrambler Fiber End D1 +kpfmet.CAL_BENCH|float|degC; Cal_Bench temperature +kpfmet.CAL_BENCH_BB_SRC|float|degC; CAL_Bench_BB_Src +kpfmet.CAL_BENCH_BOT|float|degC; Cal_Bench_Bot +kpfmet.CAL_BENCH_ENCL_AIR|float|degC; Cal_Bench_Encl_Air +kpfmet.CAL_BENCH_OCT_MOT|float|degC; Cal_Bench_Oct_Mot +kpfmet.CAL_BENCH_TRANS_STG_MOT|float|degC; Cal_Bench_Trans_Stg_Mot +kpfmet.CAL_RACK_TOP|float|degC; Cal_Rack_Top temperature +kpfmet.CHAMBER_EXT_BOTTOM|float|degC; Chamber Exterior Bottom B +kpfmet.CHAMBER_EXT_TOP|float|degC; Chamber Exterior Top C1 +kpfmet.CRYOSTAT_G1|float|degC; Within cryostat green D2 +kpfmet.CRYOSTAT_G2|float|degC; Within cryostat green D3 +kpfmet.CRYOSTAT_G3|float|degC; Within cryostat green D4 +kpfmet.CRYOSTAT_R1|float|degC; Within Cryostat red D2 +kpfmet.CRYOSTAT_R2|float|degC; Within Cryostat red D3 +kpfmet.CRYOSTAT_R3|float|degC; Within Cryostat red D4 +kpfmet.ECHELLE_BOTTOM|float|degC; Echelle Bottom D1 +kpfmet.ECHELLE_TOP|float|degC; Echelle Top C1 +kpfmet.FF_SRC|float|degC; FF_Src temperature +kpfmet.GREEN_CAMERA_BOTTOM|float|degC; Green Camera Bottom C3 +kpfmet.GREEN_CAMERA_COLLIMATOR|float|degC; Green Camera Collimator C4 +kpfmet.GREEN_CAMERA_ECHELLE|float|degC; Green Camera Echelle D5 +kpfmet.GREEN_CAMERA_TOP|float|degC; Green Camera Top C2 +kpfmet.GREEN_GRISM_TOP|float|degC; Green Grism Top C5 +kpfmet.GREEN_LN2_FLANGE|float|degC; Green LN2 Flange A +kpfmet.PRIMARY_COLLIMATOR_TOP|float|degC; Primary Col Top D2 +kpfmet.RED_CAMERA_BOTTOM|float|degC; Red Camera Bottom D5 +kpfmet.RED_CAMERA_COLLIMATOR|float|degC; Red Camera Coll C3 +kpfmet.RED_CAMERA_ECHELLE|float|degC; Red Camera Ech C4 +kpfmet.RED_CAMERA_TOP|float|degC; Red Camera Top C5 +kpfmet.RED_GRISM_TOP|float|degC; Red Grism Top C2 +kpfmet.RED_LN2_FLANGE|float|degC; Red LN2 Flange D1 +kpfmet.REFORMATTER|float|degC; Reformatter A +kpfmet.SCIENCE_CAL_FIBER_STG|float|degC; Science_Cal_Fiber_Stg temperature +kpfmet.SCISKY_SCMBLR_CHMBR_EN|float|degC; SciSky Scrambler Chamber End A +kpfmet.SCISKY_SCMBLR_FIBER_EN|float|degC; SciSky Scrammbler Fiber End B +kpfmet.SIMCAL_FIBER_STG|float|degC; SimCal_Fiber_Stg temperature +kpfmet.SKYCAL_FIBER_STG|float|degC; SkyCal_Fiber_Stg temperature +kpfmet.TEMP|float|degC; Vaisala Temperature +kpfmet.TH_DAILY|float|degC; Th_daily temperature +kpfmet.TH_GOLD|float|degC; Th_gold temperature +kpfmet.U_DAILY|float|degC; U_daily temperature +kpfmet.U_GOLD|float|degC; U_gold temperature +kpfgreen.BPLANE_TEMP|float|degC; Backplane temperature +kpfgreen.BRD10_DRVR_T|float|degC; Board 10 (Driver) temperature +kpfgreen.BRD11_DRVR_T|float|degC; Board 11 (Driver) temperature +kpfgreen.BRD12_LVXBIAS_T|float|degC; Board 12 (LVxBias) +kpfgreen.BRD1_HTRX_T|float|degC; Board 1 (HeaterX) temperature +kpfgreen.BRD2_XVBIAS_T|float|degC; Board 2 (XV Bias) temperature +kpfgreen.BRD3_LVDS_T|float|degC; Board 3 (LVDS) temperature +kpfgreen.BRD4_DRVR_T|float|degC; Board 4 (Driver) temperature +kpfgreen.BRD5_AD_T|float|degC; Board 5 (AD) temperature +kpfgreen.BRD7_HTRX_T|float|degC; Board 7 (HeaterX) temperature +kpfgreen.BRD9_HVXBIAS_T|float|degC; Board 9 (HVxBias) temperature +kpfgreen.CF_BASE_2WT|float|degC; tip cold finger (2 wire) +kpfgreen.CF_BASE_T|float|degC; base cold finger 2wire temp +kpfgreen.CF_BASE_TRG|float|degC; base cold finger heater 1A target temp +kpfgreen.CF_TIP_T|float|degC; tip cold finger +kpfgreen.CF_TIP_TRG|float|degC; tip cold finger heater 1B target temp +kpfgreen.COL_PRESS|float|Torr; Current ion pump pressure +kpfgreen.CRYOBODY_T|float|degC; Cryo Body Temperature +kpfgreen.CRYOBODY_TRG|float|degC; Cryo body heater 7B target temp +kpfgreen.CURRTEMP|float|degC; Current cold head temperature +kpfgreen.ECH_PRESS|float|Torr; Current ion pump pressure +kpfgreen.KPF_CCD_T|float|degC; SSL Detector temperature +kpfgreen.STA_CCD_T|float|degC; STA Detector temperature +kpfgreen.STA_CCD_TRG|float|degC; Detector heater 7A target temp +kpfgreen.TEMPSET|float|degC; Set point for the cold head temperature +kpfred.BPLANE_TEMP|float|degC; Backplane temperature +kpfred.BRD10_DRVR_T|float|degC; Board 10 (Driver) temperature +kpfred.BRD11_DRVR_T|float|degC; Board 11 (Driver) temperature +kpfred.BRD12_LVXBIAS_T|float|degC; Board 12 (LVxBias) temperature +kpfred.BRD1_HTRX_T|float|degC; Board 1 (HeaterX) temperature +kpfred.BRD2_XVBIAS_T|float|degC; Board 2 (XV Bias) temperature +kpfred.BRD3_LVDS_T|float|degC; Board 3 (LVDS) temperature +kpfred.BRD4_DRVR_T|float|degC; Board 4 (Driver) temperature +kpfred.BRD5_AD_T|float|degC; Board 5 (AD) temperature +kpfred.BRD7_HTRX_T|float|degC; Board 7 (HeaterX) temperature +kpfred.BRD9_HVXBIAS_T|float|degC; Board 9 (HVxBias) temperature +kpfred.CF_BASE_2WT|float|degC; tip cold finger (2 wire) +kpfred.CF_BASE_T|float|degC; base cold finger 2wire temp +kpfred.CF_BASE_TRG|float|degC; base cold finger heater 1A target temp +kpfred.CF_TIP_T|float|degC; tip cold finger +kpfred.CF_TIP_TRG|float|degC; tip cold finger heater 1B target temp +kpfred.COL_PRESS|float|Torr; Current ion pump pressure +kpfred.CRYOBODY_T|float|degC; Cryo Body Temperature +kpfred.CRYOBODY_TRG|float|degC; Cryo body heater 7B target temp +kpfred.CURRTEMP|float|degC; Current cold head temperature +kpfred.ECH_PRESS|float|Torr; Current ion pump pressure +kpfred.KPF_CCD_T|float|degC; SSL Detector temperature +kpfred.STA_CCD_T|float|degC; STA Detector temperature +kpfred.STA_CCD_TRG|float|degC; Detector heater 7A target temp +kpfred.TEMPSET|float|degC; Set point for the cold head temperature +kpfexpose.BENCH_C|float|degC; rtd bench +kpfexpose.CAMBARREL_C|float|degC; rtd camera barrel +kpfexpose.DET_XTRN_C|float|degC; rtd detector extermal +kpfexpose.ECHELLE_C|float|degC; rtd echelle +kpfexpose.ENCLOSURE_C|float|degC; rtd enclosure +kpfexpose.RACK_AIR_C|float|degC; rtd rack air +kpfvac.PUMP_TEMP|float|degC; Motor temperature +kpf_hk.COOLTARG|float|degC; temperature target +kpf_hk.CURRTEMP|float|degC; current temperature +kpfgreen.COL_CURR|float|A; Current ion pump current +kpfgreen.ECH_CURR|float|A; Current ion pump current +kpfred.COL_CURR|float|A; Current ion pump current +kpfred.ECH_CURR|float|A; Current ion pump current +kpfcal.IRFLUX|float|Counts; LFC Fiberlock IR Intensity +kpfcal.VISFLUX|float|Counts; LFC Fiberlock Vis Intensity +kpfcal.BLUECUTIACT|float|A; Blue cut amplifier 0 measured current +kpfmot.AGITSPD|float|motor_counts/s; agit raw velocity c2 int motor counts/s +kpfmot.AGITTOR|float|V; agit motor torque +kpfmot.AGITAMBI_T|float|degC; Agitator ambient temperature +kpfmot.AGITMOT_T|float|degC; Agitator motor temperature +kpfpower.OUTLET_A1_Amps|float|milliamps; Outlet A1 current amperage diff --git a/static/tsdb_keywords/l1_primary_keywords.csv b/static/tsdb_keywords/l1_primary_keywords.csv new file mode 100644 index 000000000..61c389a6c --- /dev/null +++ b/static/tsdb_keywords/l1_primary_keywords.csv @@ -0,0 +1,63 @@ +keyword|datatype|comment +WLSFILE|string|Filename of wavelength solution file used +WLSDIR|string|Directory of wavelength solution file used (4/12/24 - TO BE ADDED) +MONOTWLS|bool|Quality Control; 1 = L1 wavelength solution is monotonic +SNRSC452|float|SNR of L1 SCI spectrum (SCI1+SCI2+SCI3; 95th %ile) near 452 nm (second bluest order); on Green CCD +SNRSK452|float|SNR of L1 SKY spectrum (95th %ile) near 452 nm (second bluest order); on Green CCD +SNRCL452|float|SNR of L1 CAL spectrum (95th %ile) near 452 nm (second bluest order); on Green CCD +SNRSC548|float|SNR of L1 SCI spectrum (SCI1+SCI2+SCI3; 95th %ile) near 548 nm; on Green CCD +SNRSK548|float|SNR of L1 SKY spectrum (95th %ile) near 548 nm; on Green CCD +SNRCL548|float|SNR of L1 CAL spectrum (95th %ile) near 548 nm; on Green CCD +SNRSC652|float|SNR of L1 SCI spectrum (SCI1+SCI2+SCI3; 95th %ile) near 652 nm; on Red CCD +SNRSK652|float|SNR of L1 SKY spectrum (95th %ile) near 652 nm; on Red CCD +SNRCL652|float|SNR of L1 CAL spectrum (95th %ile) near 652 nm; on Red CCD +SNRSC747|float|SNR of L1 SCI spectrum (SCI1+SCI2+SCI3; 95th %ile) near 747 nm; on Red CCD +SNRSK747|float|SNR of L1 SKY spectrum (95th %ile) near 747 nm; on Red CCD +SNRCL747|float|SNR of L1 CAL spectrum (95th %ile) near 747 nm; on Red CCD +SNRSC852|float|SNR of L1 SCI (SCI1+SCI2+SCI3; 95th %ile) near 852 nm (second reddest order); on Red CCD +SNRSK852|float|SNR of L1 SKY spectrum (95th %ile) near 852 nm (second reddest order); on Red CCD +SNRCL852|float|SNR of L1 CAL spectrum (95th %ile) near 852 nm (second reddest order); on Red CCD +FR452652|float|Peak flux ratio between orders (452nm/652nm) using SCI2 +FR548652|float|Peak flux ratio between orders (548nm/652nm) using SCI2 +FR747652|float|Peak flux ratio between orders (747nm/652nm) using SCI2 +FR852652|float|Peak flux ratio between orders (852nm/652nm) using SCI2 +FR12M452|float|median(SCI1/SCI2) flux ratio near 452 nm; on Green CCD +FR12U452|float|uncertainty on the median(SCI1/SCI2) flux ratio near 452 nm; on Green CCD +FR32M452|float|median(SCI3/SCI2) flux ratio near 452 nm; on Green CCD +FR32U452|float|uncertainty on the median(SCI1/SCI2) flux ratio near 452 nm; on Green CCD +FRS2M452|float|median(SKY/SCI2) flux ratio near 452 nm; on Green CCD +FRS2U452|float|uncertainty on the median(SKY/SCI2) flux ratio near 452 nm; on Green CCD +FRC2M452|float|median(CAL/SCI2) flux ratio near 452 nm; on Green CCD +FRC2U452|float|uncertainty on the median(CAL/SCI2) flux ratio near 452 nm; on Green CCD +FR12M548|float|median(SCI1/SCI2) flux ratio near 548 nm; on Green CCD +FR12U548|float|uncertainty on the median(SCI1/SCI2) flux ratio near 548 nm; on Green CCD +FR32M548|float|median(SCI3/SCI2) flux ratio near 548 nm; on Green CCD +FR32U548|float|uncertainty on the median(SCI1/SCI2) flux ratio near 548 nm; on Green CCD +FRS2M548|float|median(SKY/SCI2) flux ratio near 548 nm; on Green CCD +FRS2U548|float|uncertainty on the median(SKY/SCI2) flux ratio near 548 nm; on Green CCD +FRC2M548|float|median(CAL/SCI2) flux ratio near 548 nm; on Green CCD +FRC2U548|float|uncertainty on the median(CAL/SCI2) flux ratio near 548 nm; on Green CCD +FR12M652|float|median(SCI1/SCI2) flux ratio near 652 nm; on Red CCD +FR12U652|float|uncertainty on the median(SCI1/SCI2) flux ratio near 652 nm; on Red CCD +FR32M652|float|median(SCI3/SCI2) flux ratio near 652 nm; on Red CCD +FR32U652|float|uncertainty on the median(SCI1/SCI2) flux ratio near 652 nm; on Red CCD +FRS2M652|float|median(SKY/SCI2) flux ratio near 652 nm; on Red CCD +FRS2U652|float|uncertainty on the median(SKY/SCI2) flux ratio near 652 nm; on Red CCD +FRC2M652|float|median(CAL/SCI2) flux ratio near 652 nm; on Red CCD +FRC2U652|float|uncertainty on the median(CAL/SCI2) flux ratio near 652 nm; on Red CCD +FR12M747|float|median(SCI1/SCI2) flux ratio near 747 nm; on Red CCD +FR12U747|float|uncertainty on the median(SCI1/SCI2) flux ratio near 747 nm; on Red CCD +FR32M747|float|median(SCI3/SCI2) flux ratio near 747 nm; on Red CCD +FR32U747|float|uncertainty on the median(SCI1/SCI2) flux ratio near 747 nm; on Red CCD +FRS2M747|float|median(SKY/SCI2) flux ratio near 747 nm; on Red CCD +FRS2U747|float|uncertainty on the median(SKY/SCI2) flux ratio near 747 nm; on Red CCD +FRC2M747|float|median(CAL/SCI2) flux ratio near 747 nm; on Red CCD +FRC2U747|float|uncertainty on the median(CAL/SCI2) flux ratio near 747 nm; on Red CCD +FR12M852|float|median(SCI1/SCI2) flux ratio near 852 nm; on Red CCD +FR12U852|float|uncertainty on the median(SCI1/SCI2) flux ratio near 852 nm; on Red CCD +FR32M852|float|median(SCI3/SCI2) flux ratio near 852 nm; on Red CCD +FR32U852|float|uncertainty on the median(SCI1/SCI2) flux ratio near 852 nm; on Red CCD +FRS2M852|float|median(SKY/SCI2) flux ratio near 852 nm; on Red CCD +FRS2U852|float|uncertainty on the median(SKY/SCI2) flux ratio near 852 nm; on Red CCD +FRC2M852|float|median(CAL/SCI2) flux ratio near 852 nm; on Red CCD +FRC2U852|float|uncertainty on the median(CAL/SCI2) flux ratio near 852 nm; on Red CCD diff --git a/static/tsdb_keywords/l2_primary_keywords.csv b/static/tsdb_keywords/l2_primary_keywords.csv new file mode 100644 index 000000000..5941b710e --- /dev/null +++ b/static/tsdb_keywords/l2_primary_keywords.csv @@ -0,0 +1,2 @@ +keyword|datatype|comment +TIMCHKL2|string|Quality Control: 1 = consistent times in L2 file diff --git a/static/tsdb_keywords/l2_rv_keywords.csv b/static/tsdb_keywords/l2_rv_keywords.csv new file mode 100644 index 000000000..fb63006e7 --- /dev/null +++ b/static/tsdb_keywords/l2_rv_keywords.csv @@ -0,0 +1,33 @@ +keyword|datatype|comment +CCFRV|float|Average of CCD1RV and CCD2RV using weights from RV table +CCFERV|float|Error on CCFRV +CCFRVC|float|Average of CCD1RVC and CCD2RVC using weights from RV table +CCFERVC|float|Error on CCFRVC +CCD1ROW|float|Row number in the RV table (below) of the bluest order on the Green CCD +CCD1RV1|float|RV (km/s) of SCI1 (all orders-Green CCD); corrected for barycentric RV +CCD1ERV1|float|Error on CCD1RV1 +CCD1RV2|float|RV (km/s) of SCI2 (all orders-Green CCD); corrected for barycentric RV +CCD1ERV2|float|Error on CCD1RV2 +CCD1RV3|float|RV (km/s) of SCI3 (all orders-Green CCD); corrected for barycentric RV +CCD1ERV3|float|Error on CCD1RV3 +CCD1RVC|float|RV (km/s) of CAL (all orders-Green CCD); corrected for barycentric RV +CCD1ERV|float|Error on CCD1RVC +CCD1RVS|float|RV (km/s) of SKY (all orders-Green CCD); corrected for barycentric RV +CCD1ERVS|float|Error on CCD1RVS +CCD1RV|float|RV (km/s) of average of SCI1/SCI2/SCI3 (all orders-Green CCD); corrected for barycentric RV +CCD1ERV|float|Error on CCD1RV +CCD1BJD|float|Photon-weighted mid-time (BJD) for CCD1RV +CCD2ROW|float|Row number in the RV table (below) of the bluest order on the Red CCD +CCD2RV1|float|RV (km/s) of SCI1 (all orders-Red CCD); corrected for barycentric RV +CCD2ERV1|float|Error on CCD2RV1 +CCD2RV2|float|RV (km/s) of SCI2 (all orders-Red CCD); corrected for barycentric RV +CCD2ERV2|float|Error on CCD2RV2 +CCD2RV3|float|RV (km/s) of SCI3 (all orders-Red CCD); corrected for barycentric RV +CCD2ERV3|float|Error on CCD2RV3 +CCD2RVC|float|RV (km/s) of CAL (all orders-Red CCD); corrected for barycentric RV +CCD2ERVC|float|Error on CCD2RVC +CCD2RVS|float|RV (km/s) of SKY (all orders-Red CCD); corrected for barycentric RV +CCD2ERVS|float|Error on CCD2RVS +CCD2RV|float|RV (km/s) of average of SCI1/SCI2/SCI3 (all orders-Red CCD); corrected for barycentric RV +CCD2ERV|float|Error on CCD2RV +CCD2BJD|float|Photon-weighted mid-time (BJD) for CCD2RV From 27f30d8aaec68a5016b2b5da6e4ab4b4cf79b16f Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Sat, 1 Jun 2024 22:50:17 -0700 Subject: [PATCH 52/84] moved keywords to csv files --- modules/quicklook/src/analyze_time_series.py | 375 ++----------------- 1 file changed, 27 insertions(+), 348 deletions(-) diff --git a/modules/quicklook/src/analyze_time_series.py b/modules/quicklook/src/analyze_time_series.py index 6aa6438af..3a1828971 100644 --- a/modules/quicklook/src/analyze_time_series.py +++ b/modules/quicklook/src/analyze_time_series.py @@ -634,366 +634,45 @@ def get_keyword_types(self, level): # L0 PRIMARY header if level == 'L0': - keyword_types = { - 'DATE-MID': 'datetime', # Halfway point of the exposure, unweighted - 'DATE-BEG': 'datetime', # Start of exposure from kpfexpose - 'DATE-END': 'datetime', # End of exposure from kpfexpose.ENDTIME - 'GRDATE-B': 'datetime', # Shutter-open time Kwd green DATE-BEG - 'GRDATE-E': 'datetime', # Shutter-close time Kwd green DATE-END - 'RDDATE-B': 'datetime', # Shutter-open time Kwd red DATE-BEG - 'RDDATE-E': 'datetime', # Shutter-close time Kwd red DATE-END - 'EMDATE-B': 'datetime', # Date-Beg of first observation Kwd expmeter - 'EMDATE-E': 'datetime', # Date-End of last observation Kwd expmeter - 'GCDATE-B': 'datetime', # sequence begin Kwd guide DATE-BEG - 'GCDATE-E': 'datetime', # sequence end Kwd guide DATE-END - 'MJD-OBS': 'float', - 'EXPTIME': 'float', - 'ELAPSED': 'float', - 'FRAMENO': 'int', - 'PROGNAME': 'string', - 'TARGRA': 'string', - 'TARGDEC': 'string', - 'EL': 'float', - 'AZ': 'float', - 'OBJECT': 'string', - 'GAIAMAG': 'float', - '2MASSMAG': 'float', - 'AIRMASS': 'float', - 'IMTYPE': 'string', - 'GREEN': 'string', - 'RED': 'string', - 'GREEN': 'string', - 'CA_HK': 'string', - 'EXPMETER': 'string', - 'GUIDE': 'string', - 'SKY-OBJ': 'string', - 'SCI-OBJ': 'string', - 'AGITSTA': 'string', - 'FIUMODE': 'string', # FIU operating mode - 'Observing' = on-sky - 'ETAV1C1T': 'float', # Etalon Vescent 1 Channel 1 temperature - 'ETAV1C2T': 'float', # Etalon Vescent 1 Channel 2 temperature - 'ETAV1C3T': 'float', # Etalon Vescent 1 Channel 3 temperature - 'ETAV1C4T': 'float', # Etalon Vescent 1 Channel 4 temperature - 'ETAV2C3T': 'float', # Etalon Vescent 2 Channel 3 temperature - 'TOTCORR': 'string', # need to correct this to split '498.12 604.38 710.62 816.88' / Wavelength of EM bins in nm - 'USTHRSH': 'string', - 'THRSHLD': 'float', - 'THRSBIN': 'float', - } + keywords_csv='/code/KPF-Pipeline/static/tsdb_keywords/l0_primary_keywords.csv' + df_keywords = pd.read_csv(keywords_csv, delimiter='|', dtype=str) + keyword_types = dict(zip(df_keywords['keyword'], df_keywords['datatype'])) # 2D PRIMARY header elif level == '2D': - keyword_types = { - 'BIASFILE': 'string', # Master bias file used (except for bias exposures) - 'DARKFILE': 'string', # Master dark file used (except for dark exposures) - 'FLATFILE': 'string', # Master flat file used (except for ?? exposures) - 'BIASDIR': 'string', # Directory for BIASDIR (keyword to be added) - 'DARKDIR': 'string', # Directory for DARKDIR (keyword to be added) - 'FLATDIR': 'string', # Directory for FLATDIR (keyword to be added) - 'DRPTAG': 'string', # Git version number of KPF-Pipeline used for processing - 'DRPHASH': 'string', # Git commit hash version of KPF-Pipeline used for processing - 'NOTJUNK': 'float', # Quality Control: 1 = not in the list of junk files check; this QC is rerun on L1 and L2 - 'DATAPRL0': 'float', # Quality Control: 1 = L0 data products present with non-zero array sizes - 'KWRDPRL0': 'float', # Quality Control: 1 = L0 expected keywords present - 'TIMCHKL0': 'string', # Quality Control: 1 = consistent times in L0 file - 'EMSAT': 'float', # Quality Control: 1 = Exp Meter not saturated; 0 = 2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY - 'EMNEG': 'float', # Quality Control: 1 = Exp Meter not negative flux; 0 = 20+ consecutive pixels in summed spectra with negative flux - 'RNRED1': 'float', # Read noise for RED_AMP1 [e-] (first amplifier region on Red CCD) - 'RNRED2': 'float', # Read noise for RED_AMP2 [e-] (second amplifier region on Red CCD) - 'RNRED3': 'float', # Read noise for RED_AMP3 [e-] (third amplifier region on Red CCD) - 'RNRED4': 'float', # Read noise for RED_AMP4 [e-] (fourth amplifier region on Red CCD) - 'RNGREEN1': 'float', # Read noise for GREEN_AMP1 [e-] (first amplifier region on Green CCD) - 'RNGREEN2': 'float', # Read noise for GREEN_AMP2 [e-] (second amplifier region on Green CCD) - 'RNGREEN3': 'float', # Read noise for GREEN_AMP3 [e-] (third amplifier region on Green CCD) - 'RNGREEN4': 'float', # Read noise for GREEN_AMP4 [e-] (fourth amplifier region on Green CCD) - 'GREENTRT': 'float', # Green CCD read time [sec] - 'REDTRT': 'float', # Red CCD read time [sec] - 'READSPED': 'string', # Categorization of CCD read speed ('regular' or 'fast') - 'FLXREG1G': 'float', # Dark current [e-/hr] - Green CCD region 1 - coords = [1690:1990,1690:1990] - 'FLXREG2G': 'float', # Dark current [e-/hr] - Green CCD region 2 - coords = [1690:1990,2090:2390] - 'FLXREG3G': 'float', # Dark current [e-/hr] - Green CCD region 3 - coords = [2090:2390,1690:1990] - 'FLXREG4G': 'float', # Dark current [e-/hr] - Green CCD region 4 - coords = [2090:2390,2090:2390] - 'FLXREG5G': 'float', # Dark current [e-/hr] - Green CCD region 5 - coords = [80:380,3080:3380] - 'FLXREG6G': 'float', # Dark current [e-/hr] - Green CCD region 6 - coords = [1690:1990,1690:1990] - 'FLXAMP1G': 'float', # Dark current [e-/hr] - Green CCD amplifier region 1 - coords = [3700:4000,700:1000] - 'FLXAMP2G': 'float', # Dark current [e-/hr] - Green CCD amplifier region 2 - coords = [3700:4000,3080:3380] - 'FLXCOLLG': 'float', # Dark current [e-/hr] - Green CCD collimator-side region = [3700:4000,700:1000] - 'FLXECHG': 'float', # Dark current [e-/hr] - Green CCD echelle-side region = [3700:4000,700:1000] - 'FLXREG1R': 'float', # Dark current [e-/hr] - Red CCD region 1 - coords = [1690:1990,1690:1990] - 'FLXREG2R': 'float', # Dark current [e-/hr] - Red CCD region 2 - coords = [1690:1990,2090:2390] - 'FLXREG3R': 'float', # Dark current [e-/hr] - Red CCD region 3 - coords = [2090:2390,1690:1990] - 'FLXREG4R': 'float', # Dark current [e-/hr] - Red CCD region 4 - coords = [2090:2390,2090:2390] - 'FLXREG5R': 'float', # Dark current [e-/hr] - Red CCD region 5 - coords = [80:380,3080:3380] - 'FLXREG6R': 'float', # Dark current [e-/hr] - Red CCD region 6 - coords = [1690:1990,1690:1990] - 'FLXAMP1R': 'float', # Dark current [e-/hr] - Red CCD amplifier region 1 = [3700:4000,700:1000] - 'FLXAMP2R': 'float', # Dark current [e-/hr] - Red CCD amplifier region 2 = [3700:4000,3080:3380] - 'FLXCOLLR': 'float', # Dark current [e-/hr] - Red CCD collimator-side region = [3700:4000,700:1000] - 'FLXECHR': 'float', # Dark current [e-/hr] - Red CCD echelle-side region = [3700:4000,700:1000] - 'GDRXRMS': 'float', # x-coordinate RMS guiding error in milliarcsec (mas) - 'GDRYRMS': 'float', # y-coordinate RMS guiding error in milliarcsec (mas) - 'GDRRRMS': 'float', # r-coordinate RMS guiding error in milliarcsec (mas) - 'GDRXBIAS': 'float', # x-coordinate bias guiding error in milliarcsec (mas) - 'GDRYBIAS': 'float', # y-coordinate bias guiding error in milliarcsec (mas) - 'GDRSEEJZ': 'float', # Seeing (arcsec) in J+Z-band from Moffat func fit - 'GDRSEEV': 'float', # Scaled seeing (arcsec) in V-band from J+Z-band - 'MOONSEP': 'float', # Separation between Moon and target star (deg) - 'SUNALT': 'float', # Altitude of Sun (deg); negative = below horizon - 'SKYSCIMS': 'float', # SKY/SCI flux ratio in main spectrometer scaled from EM data. - 'EMSCCT48': 'float', # cumulative EM counts [ADU] in SCI in 445-870 nm - 'EMSCCT45': 'float', # cumulative EM counts [ADU] in SCI in 445-551 nm - 'EMSCCT56': 'float', # cumulative EM counts [ADU] in SCI in 551-658 nm - 'EMSCCT67': 'float', # cumulative EM counts [ADU] in SCI in 658-764 nm - 'EMSCCT78': 'float', # cumulative EM counts [ADU] in SCI in 764-870 nm - 'EMSKCT48': 'float', # cumulative EM counts [ADU] in SKY in 445-870 nm - 'EMSKCT45': 'float', # cumulative EM counts [ADU] in SKY in 445-551 nm - 'EMSKCT56': 'float', # cumulative EM counts [ADU] in SKY in 551-658 nm - 'EMSKCT67': 'float', # cumulative EM counts [ADU] in SKY in 658-764 nm - 'EMSKCT78': 'float', # cumulative EM counts [ADU] in SKY in 764-870 nm - } - + keywords_csv='/code/KPF-Pipeline/static/tsdb_keywords/d2_primary_keywords.csv' + df_keywords = pd.read_csv(keywords_csv, delimiter='|', dtype=str) + keyword_types = dict(zip(df_keywords['keyword'], df_keywords['datatype'])) + # L1 PRIMARY header elif level == 'L1': - keyword_types = { - 'WLSFILE': 'string',# Filename of wavelength solution file used - 'WLSDIR': 'string',# Directory of wavelength solution file used (4/12/24 - TO BE ADDED) - 'MONOTWLS': 'bool', # Quality Control: 1 = L1 wavelength solution is monotonic - 'SNRSC452': 'float', # SNR of L1 SCI spectrum (SCI1+SCI2+SCI3; 95th %ile) near 452 nm (second bluest order); on Green CCD - 'SNRSK452': 'float', # SNR of L1 SKY spectrum (95th %ile) near 452 nm (second bluest order); on Green CCD - 'SNRCL452': 'float', # SNR of L1 CAL spectrum (95th %ile) near 452 nm (second bluest order); on Green CCD - 'SNRSC548': 'float', # SNR of L1 SCI spectrum (SCI1+SCI2+SCI3; 95th %ile) near 548 nm; on Green CCD - 'SNRSK548': 'float', # SNR of L1 SKY spectrum (95th %ile) near 548 nm; on Green CCD - 'SNRCL548': 'float', # SNR of L1 CAL spectrum (95th %ile) near 548 nm; on Green CCD - 'SNRSC652': 'float', # SNR of L1 SCI spectrum (SCI1+SCI2+SCI3; 95th %ile) near 652 nm; on Red CCD - 'SNRSK652': 'float', # SNR of L1 SKY spectrum (95th %ile) near 652 nm; on Red CCD - 'SNRCL652': 'float', # SNR of L1 CAL spectrum (95th %ile) near 652 nm; on Red CCD - 'SNRSC747': 'float', # SNR of L1 SCI spectrum (SCI1+SCI2+SCI3; 95th %ile) near 747 nm; on Red CCD - 'SNRSK747': 'float', # SNR of L1 SKY spectrum (95th %ile) near 747 nm; on Red CCD - 'SNRCL747': 'float', # SNR of L1 CAL spectrum (95th %ile) near 747 nm; on Red CCD - 'SNRSC852': 'float', # SNR of L1 SCI (SCI1+SCI2+SCI3; 95th %ile) near 852 nm (second reddest order); on Red CCD - 'SNRSK852': 'float', # SNR of L1 SKY spectrum (95th %ile) near 852 nm (second reddest order); on Red CCD - 'SNRCL852': 'float', # SNR of L1 CAL spectrum (95th %ile) near 852 nm (second reddest order); on Red CCD - 'FR452652': 'float', # Peak flux ratio between orders (452nm/652nm) using SCI2 - 'FR548652': 'float', # Peak flux ratio between orders (548nm/652nm) using SCI2 - 'FR747652': 'float', # Peak flux ratio between orders (747nm/652nm) using SCI2 - 'FR852652': 'float', # Peak flux ratio between orders (852nm/652nm) using SCI2 - 'FR12M452': 'float', # median(SCI1/SCI2) flux ratio near 452 nm; on Green CCD - 'FR12U452': 'float', # uncertainty on the median(SCI1/SCI2) flux ratio near 452 nm; on Green CCD - 'FR32M452': 'float', # median(SCI3/SCI2) flux ratio near 452 nm; on Green CCD - 'FR32U452': 'float', # uncertainty on the median(SCI1/SCI2) flux ratio near 452 nm; on Green CCD - 'FRS2M452': 'float', # median(SKY/SCI2) flux ratio near 452 nm; on Green CCD - 'FRS2U452': 'float', # uncertainty on the median(SKY/SCI2) flux ratio near 452 nm; on Green CCD - 'FRC2M452': 'float', # median(CAL/SCI2) flux ratio near 452 nm; on Green CCD - 'FRC2U452': 'float', # uncertainty on the median(CAL/SCI2) flux ratio near 452 nm; on Green CCD - 'FR12M548': 'float', # median(SCI1/SCI2) flux ratio near 548 nm; on Green CCD - 'FR12U548': 'float', # uncertainty on the median(SCI1/SCI2) flux ratio near 548 nm; on Green CCD - 'FR32M548': 'float', # median(SCI3/SCI2) flux ratio near 548 nm; on Green CCD - 'FR32U548': 'float', # uncertainty on the median(SCI1/SCI2) flux ratio near 548 nm; on Green CCD - 'FRS2M548': 'float', # median(SKY/SCI2) flux ratio near 548 nm; on Green CCD - 'FRS2U548': 'float', # uncertainty on the median(SKY/SCI2) flux ratio near 548 nm; on Green CCD - 'FRC2M548': 'float', # median(CAL/SCI2) flux ratio near 548 nm; on Green CCD - 'FRC2U548': 'float', # uncertainty on the median(CAL/SCI2) flux ratio near 548 nm; on Green CCD - 'FR12M652': 'float', # median(SCI1/SCI2) flux ratio near 652 nm; on Red CCD - 'FR12U652': 'float', # uncertainty on the median(SCI1/SCI2) flux ratio near 652 nm; on Red CCD - 'FR32M652': 'float', # median(SCI3/SCI2) flux ratio near 652 nm; on Red CCD - 'FR32U652': 'float', # uncertainty on the median(SCI1/SCI2) flux ratio near 652 nm; on Red CCD - 'FRS2M652': 'float', # median(SKY/SCI2) flux ratio near 652 nm; on Red CCD - 'FRS2U652': 'float', # uncertainty on the median(SKY/SCI2) flux ratio near 652 nm; on Red CCD - 'FRC2M652': 'float', # median(CAL/SCI2) flux ratio near 652 nm; on Red CCD - 'FRC2U652': 'float', # uncertainty on the median(CAL/SCI2) flux ratio near 652 nm; on Red CCD - 'FR12M747': 'float', # median(SCI1/SCI2) flux ratio near 747 nm; on Red CCD - 'FR12U747': 'float', # uncertainty on the median(SCI1/SCI2) flux ratio near 747 nm; on Red CCD - 'FR32M747': 'float', # median(SCI3/SCI2) flux ratio near 747 nm; on Red CCD - 'FR32U747': 'float', # uncertainty on the median(SCI1/SCI2) flux ratio near 747 nm; on Red CCD - 'FRS2M747': 'float', # median(SKY/SCI2) flux ratio near 747 nm; on Red CCD - 'FRS2U747': 'float', # uncertainty on the median(SKY/SCI2) flux ratio near 747 nm; on Red CCD - 'FRC2M747': 'float', # median(CAL/SCI2) flux ratio near 747 nm; on Red CCD - 'FRC2U747': 'float', # uncertainty on the median(CAL/SCI2) flux ratio near 747 nm; on Red CCD - 'FR12M852': 'float', # median(SCI1/SCI2) flux ratio near 852 nm; on Red CCD - 'FR12U852': 'float', # uncertainty on the median(SCI1/SCI2) flux ratio near 852 nm; on Red CCD - 'FR32M852': 'float', # median(SCI3/SCI2) flux ratio near 852 nm; on Red CCD - 'FR32U852': 'float', # uncertainty on the median(SCI1/SCI2) flux ratio near 852 nm; on Red CCD - 'FRS2M852': 'float', # median(SKY/SCI2) flux ratio near 852 nm; on Red CCD - 'FRS2U852': 'float', # uncertainty on the median(SKY/SCI2) flux ratio near 852 nm; on Red CCD - 'FRC2M852': 'float', # median(CAL/SCI2) flux ratio near 852 nm; on Red CCD - 'FRC2U852': 'float', # uncertainty on the median(CAL/SCI2) flux ratio near 852 nm; on Red CCD - } + keywords_csv='/code/KPF-Pipeline/static/tsdb_keywords/l1_primary_keywords.csv' + df_keywords = pd.read_csv(keywords_csv, delimiter='|', dtype=str) + keyword_types = dict(zip(df_keywords['keyword'], df_keywords['datatype'])) # L2 PRIMARY header elif level == 'L2': - keyword_types = { - 'TIMCHKL2': 'string', # Quality Control: 1 = consistent times in L2 file - } + keywords_csv='/code/KPF-Pipeline/static/tsdb_keywords/l2_primary_keywords.csv' + df_keywords = pd.read_csv(keywords_csv, delimiter='|', dtype=str) + keyword_types = dict(zip(df_keywords['keyword'], df_keywords['datatype'])) # L0 TELEMETRY extension elif level == 'L0_telemetry': - keyword_types = { - 'kpfmet.BENCH_BOTTOM_BETWEEN_CAMERAS': 'float', # degC Bench Bottom Between Cameras C2 c- double degC... - 'kpfmet.BENCH_BOTTOM_COLLIMATOR': 'float', # degC Bench Bottom Coll C3 c- double degC {%.3f} - 'kpfmet.BENCH_BOTTOM_DCUT': 'float', # degC Bench Bottom D-cut C4 c- double degC {%.3f} - 'kpfmet.BENCH_BOTTOM_ECHELLE': 'float', # degC Bench Bottom Echelle Cam B c- double degC {%.3f} - 'kpfmet.BENCH_TOP_BETWEEN_CAMERAS': 'float', # degC Bench Top Between Cameras D4 c- double degC {%... - 'kpfmet.BENCH_TOP_COLL': 'float', # degC Bench Top Coll D5 c- double degC {%.3f} - 'kpfmet.BENCH_TOP_DCUT': 'float', # degC Bench Top D-cut D3 c- double degC {%.3f} - 'kpfmet.BENCH_TOP_ECHELLE_CAM': 'float', # degC Bench Top Echelle Cam D1 c- double degC {%.3f} - 'kpfmet.CALEM_SCMBLR_CHMBR_END': 'float', # degC Cal EM Scrammbler Chamber End C1 c- double deg... - 'kpfmet.CALEM_SCMBLR_FIBER_END': 'float', # degC Cal EM Scrambler Fiber End D1 c- double degC {... - 'kpfmet.CAL_BENCH': 'float', # degC Cal_Bench temperature c- double degC {%.1f} - 'kpfmet.CAL_BENCH_BB_SRC': 'float', # degC CAL_Bench_BB_Src temperature c- double degC {%... - 'kpfmet.CAL_BENCH_BOT': 'float', # degC Cal_Bench_Bot temperature c- double degC {%.1f} - 'kpfmet.CAL_BENCH_ENCL_AIR': 'float', # degC Cal_Bench_Encl_Air temperature c- double degC ... - 'kpfmet.CAL_BENCH_OCT_MOT': 'float', # degC Cal_Bench_Oct_Mot temperature c- double degC {... - 'kpfmet.CAL_BENCH_TRANS_STG_MOT': 'float', # degC Cal_Bench_Trans_Stg_Mot temperature c- double ... - 'kpfmet.CAL_RACK_TOP': 'float', # degC Cal_Rack_Top temperature c- double degC {%.1f} - 'kpfmet.CHAMBER_EXT_BOTTOM': 'float', # degC Chamber Exterior Bottom B c- double degC {%.3f} - 'kpfmet.CHAMBER_EXT_TOP': 'float', # degC Chamber Exterior Top C1 c- double degC {%.3f} - 'kpfmet.CRYOSTAT_G1': 'float', # degC Within cryostat green D2 c- double degC {%.3f} - 'kpfmet.CRYOSTAT_G2': 'float', # degC Within cryostat green D3 c- double degC {%.3f} - 'kpfmet.CRYOSTAT_G3': 'float', # degC Within cryostat green D4 c- double degC {%.3f} - 'kpfmet.CRYOSTAT_R1': 'float', # degC Within Cryostat red D2 c- double degC {%.3f} - 'kpfmet.CRYOSTAT_R2': 'float', # degC Within Cryostat red D3 c- double degC {%.3f} - 'kpfmet.CRYOSTAT_R3': 'float', # degC Within Cryostat red D4 c- double degC {%.3f} - 'kpfmet.ECHELLE_BOTTOM': 'float', # degC Echelle Bottom D1 c- double degC {%.3f} - 'kpfmet.ECHELLE_TOP': 'float', # degC Echelle Top C1 c- double degC {%.3f} - 'kpfmet.FF_SRC': 'float', # degC FF_Src temperature c- double degC {%.1f} - 'kpfmet.GREEN_CAMERA_BOTTOM': 'float', # degC Green Camera Bottom C3 c- double degC {%.3f} - 'kpfmet.GREEN_CAMERA_COLLIMATOR': 'float', # degC Green Camera Collimator C4 c- double degC {%.3f} - 'kpfmet.GREEN_CAMERA_ECHELLE': 'float', # degC Green Camera Echelle D5 c- double degC {%.3f} - 'kpfmet.GREEN_CAMERA_TOP': 'float', # degC Green Camera Top C2 c- double degC {%.3f} - 'kpfmet.GREEN_GRISM_TOP': 'float', # degC Green Grism Top C5 c- double degC {%.3f} - 'kpfmet.GREEN_LN2_FLANGE': 'float', # degC Green LN2 Flange A c- double degC {%.3f} - 'kpfmet.PRIMARY_COLLIMATOR_TOP': 'float', # degC Primary Col Top D2 c- double degC {%.3f} - 'kpfmet.RED_CAMERA_BOTTOM': 'float', # degC Red Camera Bottom D5 c- double degC {%.3f} - 'kpfmet.RED_CAMERA_COLLIMATOR': 'float', # degC Red Camera Coll C3 c- double degC {%.3f} - 'kpfmet.RED_CAMERA_ECHELLE': 'float', # degC Red Camera Ech C4 c- double degC {%.3f} - 'kpfmet.RED_CAMERA_TOP': 'float', # degC Red Camera Top C5 c- double degC {%.3f} - 'kpfmet.RED_GRISM_TOP': 'float', # degC Red Grism Top C2 c- double degC {%.3f} - 'kpfmet.RED_LN2_FLANGE': 'float', # degC Red LN2 Flange D1 c- double degC {%.3f} - 'kpfmet.REFORMATTER': 'float', # degC Reformatter A c- double degC {%.3f} - 'kpfmet.SCIENCE_CAL_FIBER_STG': 'float', # degC Science_Cal_Fiber_Stg temperature c- double de... - 'kpfmet.SCISKY_SCMBLR_CHMBR_EN': 'float', # degC SciSky Scrambler Chamber End A c- double degC ... - 'kpfmet.SCISKY_SCMBLR_FIBER_EN': 'float', # degC SciSky Scrammbler Fiber End B c- double degC {... - 'kpfmet.SIMCAL_FIBER_STG': 'float', # degC SimCal_Fiber_Stg temperature c- double degC {%... - 'kpfmet.SKYCAL_FIBER_STG': 'float', # degC SkyCal_Fiber_Stg temperature c- double degC {%... - 'kpfmet.TEMP': 'float', # degC Vaisala Temperature c- double degC {%.3f} - 'kpfmet.TH_DAILY': 'float', # degC Th_daily temperature c- double degC {%.1f} - 'kpfmet.TH_GOLD': 'float', # degC Th_gold temperature c- double degC {%.1f} - 'kpfmet.U_DAILY': 'float', # degC U_daily temperature c- double degC {%.1f} - 'kpfmet.U_GOLD': 'float', # degC U_gold temperature c- double degC {%.1f} - 'kpfgreen.BPLANE_TEMP': 'float', # degC Backplane temperature c- double degC {%.3f} - 'kpfgreen.BRD10_DRVR_T': 'float', # degC Board 10 (Driver) temperature c- double degC {... - 'kpfgreen.BRD11_DRVR_T': 'float', # degC Board 11 (Driver) temperature c- double degC {... - 'kpfgreen.BRD12_LVXBIAS_T': 'float', # degC Board 12 (LVxBias) temperature c- double degC ... - 'kpfgreen.BRD1_HTRX_T': 'float', # degC Board 1 (HeaterX) temperature c- double degC {... - 'kpfgreen.BRD2_XVBIAS_T': 'float', # degC Board 2 (XV Bias) temperature c- double degC {... - 'kpfgreen.BRD3_LVDS_T': 'float', # degC Board 3 (LVDS) temperature c- double degC {%.3f} - 'kpfgreen.BRD4_DRVR_T': 'float', # degC Board 4 (Driver) temperature c- double degC {%... - 'kpfgreen.BRD5_AD_T': 'float', # degC Board 5 (AD) temperature c- double degC {%.3f} - 'kpfgreen.BRD7_HTRX_T': 'float', # degC Board 7 (HeaterX) temperature c- double degC {... - 'kpfgreen.BRD9_HVXBIAS_T': 'float', # degC Board 9 (HVxBias) temperature c- double degC {... - 'kpfgreen.CF_BASE_2WT': 'float', # degC tip cold finger (2 wire) c- double degC {%.3f} - 'kpfgreen.CF_BASE_T': 'float', # degC base cold finger 2wire temp c- double degC {%.3f} - 'kpfgreen.CF_BASE_TRG': 'float', # degC base cold finger heater 1A, target temp c2 dou... - 'kpfgreen.CF_TIP_T': 'float', # degC tip cold finger c- double degC {%.3f} - 'kpfgreen.CF_TIP_TRG': 'float', # degC tip cold finger heater 1B, target temp c2 doub... - 'kpfgreen.COL_PRESS': 'float', # Torr Current ion pump pressure c- double Torr {%.3e} - 'kpfgreen.CRYOBODY_T': 'float', # degC Cryo Body Temperature c- double degC {%.3f} - 'kpfgreen.CRYOBODY_TRG': 'float', # degC Cryo body heater 7B, target temp c2 double deg... - 'kpfgreen.CURRTEMP': 'float', # degC Current cold head temperature c- double degC {... - 'kpfgreen.ECH_PRESS': 'float', # Torr Current ion pump pressure c- double Torr {%.3e} - 'kpfgreen.KPF_CCD_T': 'float', # degC SSL Detector temperature c- double degC {%.3f} - 'kpfgreen.STA_CCD_T': 'float', # degC STA Detector temperature c- double degC {%.3f} - 'kpfgreen.STA_CCD_TRG': 'float', # degC Detector heater 7A, target temp c2 double degC... - 'kpfgreen.TEMPSET': 'float', # degC Set point for the cold head temperature c2 dou... - 'kpfred.BPLANE_TEMP': 'float', # degC Backplane temperature c- double degC {%.3f} - 'kpfred.BRD10_DRVR_T': 'float', # degC Board 10 (Driver) temperature c- double degC {... - 'kpfred.BRD11_DRVR_T': 'float', # degC Board 11 (Driver) temperature c- double degC {... - 'kpfred.BRD12_LVXBIAS_T': 'float', # degC Board 12 (LVxBias) temperature c- double degC ... - 'kpfred.BRD1_HTRX_T': 'float', # degC Board 1 (HeaterX) temperature c- double degC {... - 'kpfred.BRD2_XVBIAS_T': 'float', # degC Board 2 (XV Bias) temperature c- double degC {... - 'kpfred.BRD3_LVDS_T': 'float', # degC Board 3 (LVDS) temperature c- double degC {%.3f} - 'kpfred.BRD4_DRVR_T': 'float', # degC Board 4 (Driver) temperature c- double degC {%... - 'kpfred.BRD5_AD_T': 'float', # degC Board 5 (AD) temperature c- double degC {%.3f} - 'kpfred.BRD7_HTRX_T': 'float', # degC Board 7 (HeaterX) temperature c- double degC {... - 'kpfred.BRD9_HVXBIAS_T': 'float', # degC Board 9 (HVxBias) temperature c- double degC {... - 'kpfred.CF_BASE_2WT': 'float', # degC tip cold finger (2 wire) c- double degC {%.3f} - 'kpfred.CF_BASE_T': 'float', # degC base cold finger 2wire temp c- double degC {%.3f} - 'kpfred.CF_BASE_TRG': 'float', # degC base cold finger heater 1A, target temp c2 dou... - 'kpfred.CF_TIP_T': 'float', # degC tip cold finger c- double degC {%.3f} - 'kpfred.CF_TIP_TRG': 'float', # degC tip cold finger heater 1B, target temp c2 doub... - 'kpfred.COL_PRESS': 'float', # Torr Current ion pump pressure c- double Torr {%.3e} - 'kpfred.CRYOBODY_T': 'float', # degC Cryo Body Temperature c- double degC {%.3f} - 'kpfred.CRYOBODY_TRG': 'float', # degC Cryo body heater 7B, target temp c2 double deg... - 'kpfred.CURRTEMP': 'float', # degC Current cold head temperature c- double degC {... - 'kpfred.ECH_PRESS': 'float', # Torr Current ion pump pressure c- double Torr {%.3e} - 'kpfred.KPF_CCD_T': 'float', # degC SSL Detector temperature c- double degC {%.3f} - 'kpfred.STA_CCD_T': 'float', # degC STA Detector temperature c- double degC {%.3f} - 'kpfred.STA_CCD_TRG': 'float', # degC Detector heater 7A, target temp c2 double degC... - 'kpfred.TEMPSET': 'float', # degC Set point for the cold head temperature c2 dou... - 'kpfexpose.BENCH_C': 'float', # degC rtd bench c- double degC {%.1f} { -100.0 .. 10... - 'kpfexpose.CAMBARREL_C': 'float', # degC rtd camera barrel c- double degC {%.1f} { -100... - 'kpfexpose.DET_XTRN_C': 'float', # degC rtd detector extermal c- double degC {%.1f} { ... - 'kpfexpose.ECHELLE_C': 'float', # degC rtd echelle c- double degC {%.1f} { -100.0 .. ... - 'kpfexpose.ENCLOSURE_C': 'float', # degC rtd enclosure c- double degC {%.1f} { -100.0 .... - 'kpfexpose.RACK_AIR_C': 'float', # degC rtd rack air c- double degC {%.1f} { -100.0 ..... - 'kpfvac.PUMP_TEMP': 'float', # degC Motor temperature c- double degC {%.2f} - 'kpf_hk.COOLTARG': 'float', # degC temperature target c2 int degC - 'kpf_hk.CURRTEMP': 'float', # degC current temperature c- double degC {%.2f} - 'kpfgreen.COL_CURR': 'float', # A Current ion pump current c- double A {%.3e} - 'kpfgreen.ECH_CURR': 'float', # A Current ion pump current c- double A {%.3e} - 'kpfred.COL_CURR': 'float', # A Current ion pump current c- double A {%.3e} - 'kpfred.ECH_CURR': 'float', # A Current ion pump current c- double A {%.3e} - 'kpfcal.IRFLUX': 'float', # Counts LFC Fiberlock IR Intensity c- int Counts {%d} - 'kpfcal.VISFLUX': 'float', # Counts LFC Fiberlock Vis Intensity c- int Counts {%d} - 'kpfcal.BLUECUTIACT': 'float', # A Blue cut amplifier 0 measured current c- doubl... - 'kpfmot.AGITSPD': 'float', # motor_counts/s agit raw velocity c2 int motor counts/s { -750... - 'kpfmot.AGITTOR': 'float', # V agit motor torque c- double V {%.3f} - 'kpfmot.AGITAMBI_T': 'float', # degC Agitator ambient temperature c- double degC {%... - 'kpfmot.AGITMOT_T': 'float', # degC Agitator motor temperature c- double degC {%.2... - 'kpfpower.OUTLET_A1_Amps': 'float', # milliamps Outlet A1 current amperage c- int milliamps - } - - # L2 RV header + keywords_csv='/code/KPF-Pipeline/static/tsdb_keywords/l0_telemetry_keywords.csv' + df_keywords = pd.read_csv(keywords_csv, delimiter='|', dtype=str) + keyword_types = dict(zip(df_keywords['keyword'], df_keywords['datatype'])) + +# # L2 RV extension +# elif level == 'L2_RV': +# keyword_types = { +# 'ABCD1234': 'string', #placeholder for now +# } + + # L2 RV extension elif level == 'L2_RV_header': - keyword_types = { - 'CCFRV' : 'float', # Average of CCD1RV and CCD2RV using weights from RV table - 'CCFERV' : 'float', # Error on CCFRV - 'CCFRVC' : 'float', # Average of CCD1RVC and CCD2RVC using weights from RV table - 'CCFERVC' : 'float', # Error on CCFRVC - 'CCD1ROW' : 'float', # Row number in the RV table (below) of the bluest order on the Green CCD - 'CCD1RV1' : 'float', # RV (km/s) of SCI1 (all orders, Green CCD); corrected for barycentric RV - 'CCD1ERV1': 'float', # Error on CCD1RV1 - 'CCD1RV2' : 'float', # RV (km/s) of SCI2 (all orders, Green CCD); corrected for barycentric RV - 'CCD1ERV2': 'float', # Error on CCD1RV2 - 'CCD1RV3' : 'float', # RV (km/s) of SCI3 (all orders, Green CCD); corrected for barycentric RV - 'CCD1ERV3': 'float', # Error on CCD1RV3 - 'CCD1RVC' : 'float', # RV (km/s) of CAL (all orders, Green CCD); corrected for barycentric RV - 'CCD1ERV' : 'float', # Error on CCD1RVC - 'CCD1RVS' : 'float', # RV (km/s) of SKY (all orders, Green CCD); corrected for barycentric RV - 'CCD1ERVS': 'float', # Error on CCD1RVS - 'CCD1RV' : 'float', # RV (km/s) of average of SCI1/SCI2/SCI3 (all orders, Green CCD); corrected for barycentric RV - 'CCD1ERV' : 'float', # Error on CCD1RV - 'CCD1BJD' : 'float', # Photon-weighted mid-time (BJD) for CCD1RV - 'CCD2ROW' : 'float', # Row number in the RV table (below) of the bluest order on the Red CCD - 'CCD2RV1' : 'float', # RV (km/s) of SCI1 (all orders, Red CCD); corrected for barycentric RV - 'CCD2ERV1': 'float', # Error on CCD2RV1 - 'CCD2RV2' : 'float', # RV (km/s) of SCI2 (all orders, Red CCD); corrected for barycentric RV - 'CCD2ERV2': 'float', # Error on CCD2RV2 - 'CCD2RV3' : 'float', # RV (km/s) of SCI3 (all orders, Red CCD); corrected for barycentric RV - 'CCD2ERV3': 'float', # Error on CCD2RV3 - 'CCD2RVC' : 'float', # RV (km/s) of CAL (all orders, Red CCD); corrected for barycentric RV - 'CCD2ERVC': 'float', # Error on CCD2RVC - 'CCD2RVS' : 'float', # RV (km/s) of SKY (all orders, Red CCD); corrected for barycentric RV - 'CCD2ERVS': 'float', # Error on CCD2RVS - 'CCD2RV' : 'float', # RV (km/s) of average of SCI1/SCI2/SCI3 (all orders, Red CCD); corrected for barycentric RV - 'CCD2ERV' : 'float', # Error on CCD2RV - 'CCD2BJD' : 'float', # Photon-weighted mid-time (BJD) for CCD2RV - } - - # L2 RV extension - elif level == 'L2_RV': - keyword_types = { - 'ABCD1234': 'string', #placeholder for now - } + keywords_csv='/code/KPF-Pipeline/static/tsdb_keywords/l2_rv_keywords.csv' + df_keywords = pd.read_csv(keywords_csv, delimiter='|', dtype=str) + keyword_types = dict(zip(df_keywords['keyword'], df_keywords['datatype'])) else: keyword_types = {} From 7e25e8e07ede01627729c886b60c06399b727234 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Mon, 3 Jun 2024 19:51:47 -0700 Subject: [PATCH 53/84] added missing line --- configs/quicklook_parallel.cfg | 1 + 1 file changed, 1 insertion(+) diff --git a/configs/quicklook_parallel.cfg b/configs/quicklook_parallel.cfg index 617721d7c..977316cb6 100644 --- a/configs/quicklook_parallel.cfg +++ b/configs/quicklook_parallel.cfg @@ -8,6 +8,7 @@ log_verbose = True log_directory = /data/logs_QLP/ [ARGUMENT] +outdir= '/data/QLP/' fullpath = 'INSERT_FITS_PATH' [MODULE_CONFIGS] From 6b8337adda54bc77fd1a97dfa71089a60f57505e Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Mon, 3 Jun 2024 19:55:05 -0700 Subject: [PATCH 54/84] rename for consistency --- scripts/{launch_QLP.sh => launch_qlp.sh} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename scripts/{launch_QLP.sh => launch_qlp.sh} (100%) diff --git a/scripts/launch_QLP.sh b/scripts/launch_qlp.sh similarity index 100% rename from scripts/launch_QLP.sh rename to scripts/launch_qlp.sh From 3ed7645540f962f05915902c1eb3bbe7a9b9253c Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Tue, 4 Jun 2024 12:32:36 -0700 Subject: [PATCH 55/84] added master processing --- scripts/qlp_parallel.py | 44 ++++++++++++++++++++++++++++------------- 1 file changed, 30 insertions(+), 14 deletions(-) diff --git a/scripts/qlp_parallel.py b/scripts/qlp_parallel.py index d0322dc51..03f5d0858 100755 --- a/scripts/qlp_parallel.py +++ b/scripts/qlp_parallel.py @@ -1,6 +1,7 @@ #!/usr/bin/env python3 import numpy as np +import re import os import sys import glob @@ -16,7 +17,7 @@ def is_running_in_docker(): return False -def main(start_date, end_date, l0, d2, l1, l2, ncpu, print_files): +def main(start_date, end_date, l0, d2, l1, l2, master, ncpu, print_files): """ Script Name: qlp_parallel.py @@ -24,8 +25,8 @@ def main(start_date, end_date, l0, d2, l1, l2, ncpu, print_files): This script uses the 'parallel' utility to execute the recipe called 'recipes/quicklook_match.recipe' to generate standard Quicklook data products. The script selects all KPF files based on their - type (L0/2D/L1/L2) from the standard data directory using a date range - specified by the parameters start_date and end_date. L0 files are + type (L0/2D/L1/L2/master) from the standard data directory using a date + range specified by the parameters start_date and end_date. L0 files are included if the --l0 flag is set or none of the --l0, --2d, --l1, --l2 flags are set (in which case all data types are included). The --2d, --l1, and --l2 flags have similar functions. The script assumes that it @@ -44,10 +45,11 @@ def main(start_date, end_date, l0, d2, l1, l2, ncpu, print_files): --2d Select all 2D files in date range --l1 Select all L1 files in date range --l2 Select all L2 files in date range + --master Select all master files in date range --print_files Display file names matching criteria, but don't generate Quicklook plots Usage: - python qlp_parallel.py YYYYMMDD.SSSSS YYYYMMDD.SSSSS --ncpu NCPU --l0 --2d --l1 --l2 + python qlp_parallel.py YYYYMMDD.SSSSS YYYYMMDD.SSSSS --ncpu NCPU --l0 --2d --l1 --l2 --master Example: ./scripts/qlp_parallel.py 20230101.12345.67 20230101.17 --ncpu 50 --l0 --2d @@ -71,17 +73,17 @@ def main(start_date, end_date, l0, d2, l1, l2, ncpu, print_files): base_dir = "/data" all_files = [] - if ((not l0) and (not d2) and (not l1) and (not l2)) or l0: + if ((not master) and (not l0) and (not d2) and (not l1) and (not l2)) or l0: print("Checking L0 files") - all_files.extend(glob.glob(f"{base_dir}/L0/????????/*.fits")) - if ((not l0) and (not d2) and (not l1) and (not l2)) or d2: - all_files.extend(glob.glob(f"{base_dir}/2D/????????/*_2D.fits")) + all_files.extend(glob.glob(f"{base_dir}/L0/20??????/*.fits")) + if ((not master) and (not l0) and (not d2) and (not l1) and (not l2)) or d2: + all_files.extend(glob.glob(f"{base_dir}/2D/20??????/*_2D.fits")) print("Checking 2D files") - if ((not l0) and (not d2) and (not l1) and (not l2)) or l1: - all_files.extend(glob.glob(f"{base_dir}/L1/????????/*_L1.fits")) + if ((not master) and (not l0) and (not d2) and (not l1) and (not l2)) or l1: + all_files.extend(glob.glob(f"{base_dir}/L1/20??????/*_L1.fits")) print("Checking L1 files") - if ((not l0) and (not d2) and (not l1) and (not l2)) or l2: - all_files.extend(glob.glob(f"{base_dir}/L2/????????/*_L2.fits")) + if ((not master) and (not l0) and (not d2) and (not l1) and (not l2)) or l2: + all_files.extend(glob.glob(f"{base_dir}/L2/20??????/*_L2.fits")) print("Checking L2 files") print("Processing filenames") all_files = [item for item in all_files if '-' not in item] # remove bad files like `KP.20240101.00000.00-1.fits` @@ -100,9 +102,22 @@ def main(start_date, end_date, l0, d2, l1, l2, ncpu, print_files): sorted_files = sorted_paths.tolist() if do_reversed: sorted_files = sorted_files[::-1] + + if master: + print("Adding Master files") + master_files = [] + master_files.extend(glob.glob(f"{base_dir}/masters/20??????/*.fits")) + pattern = r'/data/masters/(\d{8})/' + matching_masters = [ + filename for filename in master_files + if re.search(pattern, filename) and start_date <= float(re.search(pattern, filename).group(1)) <= end_date + ] + sorted_files.extend(matching_masters) + # Note: the Master files are not sorted in date order + print(f"Number of files queued for parallel Quicklook processing: {len(sorted_files)}") - if len(filtered_files) == 0: + if len(sorted_files) == 0: print("Script stopped because no matching files were found.") else: if print_files: @@ -133,10 +148,11 @@ def main(start_date, end_date, l0, d2, l1, l2, ncpu, print_files): parser.add_argument('--2d', action='store_true', dest='d2', help='Select all 2D files in date range') parser.add_argument('--l1', action='store_true', help='Select all L1 files in date range') parser.add_argument('--l2', action='store_true', help='Select all L2 files in date range') + parser.add_argument('--master', action='store_true', help='Select all master files in date range') parser.add_argument('--print_files', action='store_true', help="Display file names matching criteria, but don't generate Quicklook plots") args = parser.parse_args() - main(args.start_date, args.end_date, args.l0, args.d2, args.l1, args.l2, args.ncpu, args.print_files) + main(args.start_date, args.end_date, args.l0, args.d2, args.l1, args.l2, args.master, args.ncpu, args.print_files) else: print('qlp_parallel.py needs to be run in a Docker environment.') print('Start the KPF-Pipeline instance of Docker before trying again.') From 6f6f7c1dd92657a0b67455a35f991dda3bc3d610 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Tue, 4 Jun 2024 12:50:06 -0700 Subject: [PATCH 56/84] added datecode sorting --- scripts/qlp_parallel.py | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/scripts/qlp_parallel.py b/scripts/qlp_parallel.py index 03f5d0858..a99858907 100755 --- a/scripts/qlp_parallel.py +++ b/scripts/qlp_parallel.py @@ -113,7 +113,17 @@ def main(start_date, end_date, l0, d2, l1, l2, master, ncpu, print_files): if re.search(pattern, filename) and start_date <= float(re.search(pattern, filename).group(1)) <= end_date ] sorted_files.extend(matching_masters) - # Note: the Master files are not sorted in date order + + # Custom sort key function to extract and convert the date part + def extract_date(filename): + datepattern = r'/data/.*/(\d{8})/' + match = re.search(datepattern, filename) + if match: + return int(match.group(1)) + return 0 # Default value if the pattern does not match (shouldn't happen if input is consistent) + + # Sort again to interleave masters in datecode-sorted list of L0-L2 + sorted_files = sorted(sorted_files, key=extract_date) print(f"Number of files queued for parallel Quicklook processing: {len(sorted_files)}") From ca003ea4f8eb4042aa2ccb880cf7f3c473fe8be6 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Tue, 4 Jun 2024 12:52:55 -0700 Subject: [PATCH 57/84] allow do_reversed --- scripts/qlp_parallel.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/scripts/qlp_parallel.py b/scripts/qlp_parallel.py index a99858907..58dd54b62 100755 --- a/scripts/qlp_parallel.py +++ b/scripts/qlp_parallel.py @@ -100,8 +100,6 @@ def main(start_date, end_date, l0, d2, l1, l2, master, ncpu, print_files): sorted_indices = np.argsort([file.split('/')[-1] for file in filtered_files]) sorted_paths = filtered_files[sorted_indices] sorted_files = sorted_paths.tolist() - if do_reversed: - sorted_files = sorted_files[::-1] if master: print("Adding Master files") @@ -124,6 +122,9 @@ def extract_date(filename): # Sort again to interleave masters in datecode-sorted list of L0-L2 sorted_files = sorted(sorted_files, key=extract_date) + + if do_reversed: + sorted_files = sorted_files[::-1] print(f"Number of files queued for parallel Quicklook processing: {len(sorted_files)}") From c8af53f39bb9e443025916f19bfbede61325c014 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Tue, 4 Jun 2024 15:25:00 -0700 Subject: [PATCH 58/84] autothrottling with --load parameter --- scripts/qlp_parallel.py | 44 +++++++++++++++++++++++++++++++---------- 1 file changed, 34 insertions(+), 10 deletions(-) diff --git a/scripts/qlp_parallel.py b/scripts/qlp_parallel.py index 58dd54b62..e1a6de916 100755 --- a/scripts/qlp_parallel.py +++ b/scripts/qlp_parallel.py @@ -17,7 +17,7 @@ def is_running_in_docker(): return False -def main(start_date, end_date, l0, d2, l1, l2, master, ncpu, print_files): +def main(start_date, end_date, l0, d2, l1, l2, master, ncpu, load, print_files): """ Script Name: qlp_parallel.py @@ -33,26 +33,40 @@ def main(start_date, end_date, l0, d2, l1, l2, master, ncpu, print_files): is being run in Docker and will return with an error message if not. If start_date is later than end_date, the arguments will be reversed and the files with later dates will be processed first. + + The --ncpu parameter determines the maximum number of cores used. If the + --load parameter (a percentage, e.g. 90 = 90%) is set to a non-zero value, + this script will be throttled so that no new files will have QLPs + processed until the load is below that value. Note that throttling works + in steady state; it is possible to overload the system with the first set + of jobs if --ncpu is set too way high. Also, the system runs with a + little higher load than commanded, e.g., if you want 90% load, set it for + 80%. + Invoking the --print_files flag causes the script to print the file names, but not compute Quicklook data products. + Arguments: + start_date Start date as YYYYMMDD, YYYYMMDD.SSSSS, or YYYYMMDD.SSSSS.SS + end_date End date as YYYYMMDD, YYYYMMDD.SSSSS, or YYYYMMDD.SSSSS.SS + Options: - --help Display this message - --start_date Start date as YYYYMMDD, YYYYMMDD.SSSSS, or YYYYMMDD.SSSSS.SS - --end_date End date as YYYYMMDD, YYYYMMDD.SSSSS, or YYYYMMDD.SSSSS.SS - --ncpu Number of cores used for parallel processing; default=10 --l0 Select all L0 files in date range --2d Select all 2D files in date range --l1 Select all L1 files in date range --l2 Select all L2 files in date range --master Select all master files in date range + --ncpu Number of cores used for parallel processing; default=10 + --load Maximum load (1 min average); default=0 (only activated if !=0) --print_files Display file names matching criteria, but don't generate Quicklook plots + --help Display this message Usage: - python qlp_parallel.py YYYYMMDD.SSSSS YYYYMMDD.SSSSS --ncpu NCPU --l0 --2d --l1 --l2 --master + python qlp_parallel.py YYYYMMDD.SSSSS YYYYMMDD.SSSSS --ncpu NCPU --load LOAD --l0 --2d --l1 --l2 --master --print_files - Example: + Examples: ./scripts/qlp_parallel.py 20230101.12345.67 20230101.17 --ncpu 50 --l0 --2d + ./scripts/qlp_parallel.py 20240501 20240505 --ncpu 150 --load 90 """ if start_date.count('.') == 2: @@ -137,12 +151,21 @@ def extract_date(filename): print(f) else: # Create a temporary file and write the sorted file paths to it + ncpu_system = os.cpu_count() with tempfile.NamedTemporaryFile(mode='w+', delete=False) as tmpfile: tmpfile_name = tmpfile.name for file_path in sorted_files: tmpfile.write(file_path + '\n') - command = f"""bash -c "parallel -j {ncpu} -k --bar bash -c 'echo \\"Starting Quicklook instance {{}}\\"; config=\$(mktemp) && sed \\"s|INSERT_FITS_PATH|{{}}|\\" configs/quicklook_parallel.cfg > \\"\\$config\\" && kpf -c \\"\\$config\\" -r recipes/quicklook_match.recipe && rm \\"\\$config\\"' :::: {tmpfile_name}" """ - + print('Starting parallel with:') + if int(load) < 0.1: + print(f' {ncpu} out of {ncpu_system} cores') + command = f"""bash -c "parallel -j {ncpu} -k --bar bash -c 'echo \\"Starting Quicklook instance {{}}\\"; config=\$(mktemp) && sed \\"s|INSERT_FITS_PATH|{{}}|\\" configs/quicklook_parallel.cfg > \\"\\$config\\" && kpf -c \\"\\$config\\" -r recipes/quicklook_match.recipe && rm \\"\\$config\\"' :::: {tmpfile_name}" """ + else: + command = f"""bash -c "parallel -j {ncpu} --load {int(load)}% --noswap -k --bar bash -c 'echo \\"Starting Quicklook instance {{}}\\"; config=\$(mktemp) && sed \\"s|INSERT_FITS_PATH|{{}}|\\" configs/quicklook_parallel.cfg > \\"\\$config\\" && kpf -c \\"\\$config\\" -r recipes/quicklook_match.recipe && rm \\"\\$config\\"' :::: {tmpfile_name}" """ + print(f' {ncpu} out of {ncpu_system} cores (initially)') + print(f' {load}% maximum load ({int(ncpu_system * float(load)/100)} cores)') + print(f' no swapping') + print(f'command = {command}') try: subprocess.run(command, shell=True, check=True) except Exception as e: @@ -155,6 +178,7 @@ def extract_date(filename): parser.add_argument('start_date', type=str, help='Start date as YYYYMMDD, YYYYMMDD.SSSSS, or YYYYMMDD.SSSSS.SS') parser.add_argument('end_date', type=str, help='End date as YYYYMMDD, YYYYMMDD.SSSSS, or YYYYMMDD.SSSSS.SS') parser.add_argument('--ncpu', type=str, default=10, help='Number of cores for parallel processing') + parser.add_argument('--load', type=str, default=0, help='Maximum load (percent)') parser.add_argument('--l0', action='store_true', help='Select all L0 files in date range') parser.add_argument('--2d', action='store_true', dest='d2', help='Select all 2D files in date range') parser.add_argument('--l1', action='store_true', help='Select all L1 files in date range') @@ -163,7 +187,7 @@ def extract_date(filename): parser.add_argument('--print_files', action='store_true', help="Display file names matching criteria, but don't generate Quicklook plots") args = parser.parse_args() - main(args.start_date, args.end_date, args.l0, args.d2, args.l1, args.l2, args.master, args.ncpu, args.print_files) + main(args.start_date, args.end_date, args.l0, args.d2, args.l1, args.l2, args.master, args.ncpu, args.load, args.print_files) else: print('qlp_parallel.py needs to be run in a Docker environment.') print('Start the KPF-Pipeline instance of Docker before trying again.') From 676d395c01dbb68696def643016e3e6152b70c55 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Tue, 4 Jun 2024 15:31:29 -0700 Subject: [PATCH 59/84] remove print statement --- scripts/qlp_parallel.py | 1 - 1 file changed, 1 deletion(-) diff --git a/scripts/qlp_parallel.py b/scripts/qlp_parallel.py index e1a6de916..ae39b2408 100755 --- a/scripts/qlp_parallel.py +++ b/scripts/qlp_parallel.py @@ -165,7 +165,6 @@ def extract_date(filename): print(f' {ncpu} out of {ncpu_system} cores (initially)') print(f' {load}% maximum load ({int(ncpu_system * float(load)/100)} cores)') print(f' no swapping') - print(f'command = {command}') try: subprocess.run(command, shell=True, check=True) except Exception as e: From e80379961f404ab7621f79fc8c1b1f5df7575102 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Tue, 4 Jun 2024 15:53:54 -0700 Subject: [PATCH 60/84] added 0.5 sec delay between starting jobs --- scripts/qlp_parallel.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/scripts/qlp_parallel.py b/scripts/qlp_parallel.py index ae39b2408..42cb86043 100755 --- a/scripts/qlp_parallel.py +++ b/scripts/qlp_parallel.py @@ -152,6 +152,7 @@ def extract_date(filename): else: # Create a temporary file and write the sorted file paths to it ncpu_system = os.cpu_count() + delay = 0.5 # sec; delay between starting jobs with tempfile.NamedTemporaryFile(mode='w+', delete=False) as tmpfile: tmpfile_name = tmpfile.name for file_path in sorted_files: @@ -159,9 +160,9 @@ def extract_date(filename): print('Starting parallel with:') if int(load) < 0.1: print(f' {ncpu} out of {ncpu_system} cores') - command = f"""bash -c "parallel -j {ncpu} -k --bar bash -c 'echo \\"Starting Quicklook instance {{}}\\"; config=\$(mktemp) && sed \\"s|INSERT_FITS_PATH|{{}}|\\" configs/quicklook_parallel.cfg > \\"\\$config\\" && kpf -c \\"\\$config\\" -r recipes/quicklook_match.recipe && rm \\"\\$config\\"' :::: {tmpfile_name}" """ + command = f"""bash -c "parallel -j {ncpu} -k --bar --delay {delay} bash -c 'echo \\"Starting Quicklook instance {{}}\\"; config=\$(mktemp) && sed \\"s|INSERT_FITS_PATH|{{}}|\\" configs/quicklook_parallel.cfg > \\"\\$config\\" && kpf -c \\"\\$config\\" -r recipes/quicklook_match.recipe && rm \\"\\$config\\"' :::: {tmpfile_name}" """ else: - command = f"""bash -c "parallel -j {ncpu} --load {int(load)}% --noswap -k --bar bash -c 'echo \\"Starting Quicklook instance {{}}\\"; config=\$(mktemp) && sed \\"s|INSERT_FITS_PATH|{{}}|\\" configs/quicklook_parallel.cfg > \\"\\$config\\" && kpf -c \\"\\$config\\" -r recipes/quicklook_match.recipe && rm \\"\\$config\\"' :::: {tmpfile_name}" """ + command = f"""bash -c "parallel -j {ncpu} -k --load {load}% --noswap --bar --delay {delay} bash -c 'echo \\"Starting Quicklook instance {{}}\\"; config=\$(mktemp) && sed \\"s|INSERT_FITS_PATH|{{}}|\\" configs/quicklook_parallel.cfg > \\"\\$config\\" && kpf -c \\"\\$config\\" -r recipes/quicklook_match.recipe && rm \\"\\$config\\"' :::: {tmpfile_name}" """ print(f' {ncpu} out of {ncpu_system} cores (initially)') print(f' {load}% maximum load ({int(ncpu_system * float(load)/100)} cores)') print(f' no swapping') From 1f5e04435901275483228ae3d84e86bd14d88477 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Tue, 4 Jun 2024 16:31:57 -0700 Subject: [PATCH 61/84] added 0.5 sec delay between starting jobs --- scripts/qlp_parallel.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/qlp_parallel.py b/scripts/qlp_parallel.py index 42cb86043..af8717c4d 100755 --- a/scripts/qlp_parallel.py +++ b/scripts/qlp_parallel.py @@ -152,7 +152,7 @@ def extract_date(filename): else: # Create a temporary file and write the sorted file paths to it ncpu_system = os.cpu_count() - delay = 0.5 # sec; delay between starting jobs + delay = 0.1 # sec; delay between starting jobs with tempfile.NamedTemporaryFile(mode='w+', delete=False) as tmpfile: tmpfile_name = tmpfile.name for file_path in sorted_files: From 5d35b60809e1fa2bbfb343046edc55d9c98ab969 Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Wed, 5 Jun 2024 13:42:37 -0700 Subject: [PATCH 62/84] add warning message for --load when run in Docker --- scripts/qlp_parallel.py | 45 ++++++++++++++++++++++------------------- 1 file changed, 24 insertions(+), 21 deletions(-) diff --git a/scripts/qlp_parallel.py b/scripts/qlp_parallel.py index af8717c4d..7a563a08c 100755 --- a/scripts/qlp_parallel.py +++ b/scripts/qlp_parallel.py @@ -34,17 +34,17 @@ def main(start_date, end_date, l0, d2, l1, l2, master, ncpu, load, print_files): If start_date is later than end_date, the arguments will be reversed and the files with later dates will be processed first. - The --ncpu parameter determines the maximum number of cores used. If the - --load parameter (a percentage, e.g. 90 = 90%) is set to a non-zero value, - this script will be throttled so that no new files will have QLPs - processed until the load is below that value. Note that throttling works - in steady state; it is possible to overload the system with the first set - of jobs if --ncpu is set too way high. Also, the system runs with a - little higher load than commanded, e.g., if you want 90% load, set it for - 80%. + Invoking the --print_files flag causes the script to print filenames + but not create QLP data products. - Invoking the --print_files flag causes the script to print the file - names, but not compute Quicklook data products. + The --ncpu parameter determines the maximum number of cores used. + + The following feature is not operational if this script is run inside of + a Docker container: If the --load parameter (a percentage, e.g. 90 = 90%) + is set to a non-zero value, this script will be throttled so that no new + files will have QLPs processed until the load is below that value. Note + that throttling works in steady state; it is possible to overload the + system with the first set of jobs if --ncpu is set too way high. Arguments: start_date Start date as YYYYMMDD, YYYYMMDD.SSSSS, or YYYYMMDD.SSSSS.SS @@ -87,16 +87,16 @@ def main(start_date, end_date, l0, d2, l1, l2, master, ncpu, load, print_files): base_dir = "/data" all_files = [] - if ((not master) and (not l0) and (not d2) and (not l1) and (not l2)) or l0: + if l0 or ((not master) and (not l0) and (not d2) and (not l1) and (not l2)): print("Checking L0 files") all_files.extend(glob.glob(f"{base_dir}/L0/20??????/*.fits")) - if ((not master) and (not l0) and (not d2) and (not l1) and (not l2)) or d2: + if d2 or ((not master) and (not l0) and (not d2) and (not l1) and (not l2)): all_files.extend(glob.glob(f"{base_dir}/2D/20??????/*_2D.fits")) print("Checking 2D files") - if ((not master) and (not l0) and (not d2) and (not l1) and (not l2)) or l1: + if l1 or ((not master) and (not l0) and (not d2) and (not l1) and (not l2)): all_files.extend(glob.glob(f"{base_dir}/L1/20??????/*_L1.fits")) print("Checking L1 files") - if ((not master) and (not l0) and (not d2) and (not l1) and (not l2)) or l2: + if l2 or ((not master) and (not l0) and (not d2) and (not l1) and (not l2)): all_files.extend(glob.glob(f"{base_dir}/L2/20??????/*_L2.fits")) print("Checking L2 files") print("Processing filenames") @@ -115,7 +115,7 @@ def main(start_date, end_date, l0, d2, l1, l2, master, ncpu, load, print_files): sorted_paths = filtered_files[sorted_indices] sorted_files = sorted_paths.tolist() - if master: + if master or ((not master) and (not l0) and (not d2) and (not l1) and (not l2)): print("Adding Master files") master_files = [] master_files.extend(glob.glob(f"{base_dir}/masters/20??????/*.fits")) @@ -152,7 +152,6 @@ def extract_date(filename): else: # Create a temporary file and write the sorted file paths to it ncpu_system = os.cpu_count() - delay = 0.1 # sec; delay between starting jobs with tempfile.NamedTemporaryFile(mode='w+', delete=False) as tmpfile: tmpfile_name = tmpfile.name for file_path in sorted_files: @@ -160,12 +159,16 @@ def extract_date(filename): print('Starting parallel with:') if int(load) < 0.1: print(f' {ncpu} out of {ncpu_system} cores') - command = f"""bash -c "parallel -j {ncpu} -k --bar --delay {delay} bash -c 'echo \\"Starting Quicklook instance {{}}\\"; config=\$(mktemp) && sed \\"s|INSERT_FITS_PATH|{{}}|\\" configs/quicklook_parallel.cfg > \\"\\$config\\" && kpf -c \\"\\$config\\" -r recipes/quicklook_match.recipe && rm \\"\\$config\\"' :::: {tmpfile_name}" """ + command = f"""bash -c "parallel -j {ncpu} -k --bar bash -c 'echo \\"Starting Quicklook instance {{}}\\"; config=\$(mktemp) && sed \\"s|INSERT_FITS_PATH|{{}}|\\" configs/quicklook_parallel.cfg > \\"\\$config\\" && kpf -c \\"\\$config\\" -r recipes/quicklook_match.recipe && rm \\"\\$config\\"' :::: {tmpfile_name}" """ else: - command = f"""bash -c "parallel -j {ncpu} -k --load {load}% --noswap --bar --delay {delay} bash -c 'echo \\"Starting Quicklook instance {{}}\\"; config=\$(mktemp) && sed \\"s|INSERT_FITS_PATH|{{}}|\\" configs/quicklook_parallel.cfg > \\"\\$config\\" && kpf -c \\"\\$config\\" -r recipes/quicklook_match.recipe && rm \\"\\$config\\"' :::: {tmpfile_name}" """ - print(f' {ncpu} out of {ncpu_system} cores (initially)') - print(f' {load}% maximum load ({int(ncpu_system * float(load)/100)} cores)') - print(f' no swapping') + command = f"""bash -c "parallel -j {ncpu} -k --load {load}% --noswap --bar bash -c 'echo \\"Starting Quicklook instance {{}}\\"; config=\$(mktemp) && sed \\"s|INSERT_FITS_PATH|{{}}|\\" configs/quicklook_parallel.cfg > \\"\\$config\\" && kpf -c \\"\\$config\\" -r recipes/quicklook_match.recipe && rm \\"\\$config\\"' :::: {tmpfile_name}" """ + if is_running_in_docker(): + print(f' {ncpu} out of {ncpu_system} cores') + print(f' {load}% maximum load ({int(ncpu_system * float(load)/100)} cores was set) - THIS FEATURE IS NOT OPERATIONAL WHEN RUN INSIDE DOCKER') + else: + print(f' {ncpu} out of {ncpu_system} cores (initially)') + print(f' {load}% maximum load ({int(ncpu_system * float(load)/100)} cores)') + print(f' no swapping') try: subprocess.run(command, shell=True, check=True) except Exception as e: From 5aa4f1a5d6d4315d68cb0511637b5bdb8301fdd4 Mon Sep 17 00:00:00 2001 From: BJ Fulton Date: Wed, 12 Jun 2024 13:26:51 -0700 Subject: [PATCH 63/84] use watch mode and reprocess flag for masters, added masters flag --- configs/kpf_masters_l1.cfg | 2 +- cronjobs/kpfmastersruncmd_l1.pl | 2 +- kpfpipe/cli.py | 13 ++++++++++--- recipes/kpf_drp.recipe | 16 +++++++++++----- 4 files changed, 23 insertions(+), 10 deletions(-) diff --git a/configs/kpf_masters_l1.cfg b/configs/kpf_masters_l1.cfg index ceae00968..262a4214b 100644 --- a/configs/kpf_masters_l1.cfg +++ b/configs/kpf_masters_l1.cfg @@ -20,7 +20,7 @@ input_dir_root = /data/masters/ # for module process: do_l0_to_2d = False -do_order_trace = True +do_order_trace = False do_spectral_extraction = True do_outlier_rejection = False do_rv = True diff --git a/cronjobs/kpfmastersruncmd_l1.pl b/cronjobs/kpfmastersruncmd_l1.pl index 9fa81b74c..a8613b31e 100755 --- a/cronjobs/kpfmastersruncmd_l1.pl +++ b/cronjobs/kpfmastersruncmd_l1.pl @@ -176,7 +176,7 @@ "mkdir -p /data/masters/${procdate}\n" . "cp -pr /masters/${procdate}/kpf_${procdate}*.fits /data/masters/${procdate}\n" . "rm /data/masters/${procdate}/kpf_${procdate}_smooth_lamp.fits\n" . - "kpf -r $recipe -c $config --date ${procdate}\n" . + "kpf --ncpus 32 --watch /data/masters/${procdate}/ --reprocess --masters -r $recipe -c $config \n" . "cp -p /data/masters/${procdate}/* /masters/${procdate}\n" . "cp -p /data/logs/${procdate}/pipeline_${procdate}.log /masters/${procdate}/pipeline_masters_drp_l1_${procdate}.log\n" . "exit\n"; diff --git a/kpfpipe/cli.py b/kpfpipe/cli.py index 4f812336e..71a381a8d 100755 --- a/kpfpipe/cli.py +++ b/kpfpipe/cli.py @@ -43,6 +43,8 @@ def _parseArguments(in_args: list) -> argparse.Namespace: help="Watch for new data arriving in a directory and run the recipe and config on each file.") parser.add_argument('--reprocess', dest='reprocess', action='store_true', help="For use in watch mode. Process any existing files found in the watch mode path.") + parser.add_argument('--masters', dest='masters', action='store_true', + help="For use in watch mode. Process any existing files found in the watch mode path. Use if processing a directory of masters files. Will only look for files without 'WLS', 'L1', or 'L2' in the filename") parser.add_argument('-r', '--recipe', required=True, dest='recipe', type=str, help="Recipe file with list of actions to take.") parser.add_argument('-c', '--config', required=True, dest="config_file", type=str, help="Configuration file") parser.add_argument('--date', dest='date', type=str, default=None, help="Date for the data to be processed.") @@ -212,8 +214,11 @@ def main(): if args.watch != None: framework.pipeline.logger.info("Waiting for files to appear in {}".format(args.watch)) framework.pipeline.logger.info("Getting existing file list.") - infiles = sorted(glob(args.watch + "*.fits"), reverse=True) + \ - sorted(glob(args.watch + "20*/*.fits"), reverse=True) + infiles = [sorted(glob(args.watch + "*.fits"), reverse=True) + \ + sorted(glob(args.watch + "20*/*.fits"), reverse=True)] + + if args.masters: + infiles = sorted(glob(args.watch + "*autocal*.fits"), reverse=True) observer = PollingObserver(framework.config.monitor_interval) al = FileAlarm(framework, arg, patterns=[args.watch+"*.fits*", @@ -223,8 +228,10 @@ def main(): if args.reprocess: framework.pipeline.logger.info("Found {:d} files to process.".format(len(infiles))) - for fname in infiles: + if args.masters and ('L1' in fname or 'L2' in fname): + framework.pipeline.logger.info("Skipping reduced file {}.".format(fname)) + continue arg = arg arg.date_dir = datestr arg.file_path = fname diff --git a/recipes/kpf_drp.recipe b/recipes/kpf_drp.recipe index 330763f30..1cc2197ea 100644 --- a/recipes/kpf_drp.recipe +++ b/recipes/kpf_drp.recipe @@ -79,11 +79,15 @@ if context.watch: # do_order_trace = False # do spectral extraction if 2D data is watched, do 2D->l1->l2 - if '2D' in file_path: + # assume masters is operating on 2D files + if '2D' in file_path or 'masters' in file_path: lev0_file_path = file_path - lev1_file_path = str_replace(file_path, '2D', 'L1') do_l0_to_2d = False - do_order_trace = False + if 'masters' in file_path: + lev1_file_path = str_replace(file_path, '.fits', '_L1.fits') + else: + do_order_trace = False + lev1_file_path = str_replace(file_path, '2D', 'L1') # do rv if L1 data is watched, do l1->l2 if 'L1' in file_path: @@ -216,7 +220,7 @@ if lev0_file_path: lev0_science_pattern = lev0_file_path else: lev0_science_pattern = input_2d_dir + '*' + fits_ext - + output_extraction = output_dir + config.ARGUMENT.output_extraction + date_dir wave_to_ext = config.ARGUMENT.wave_to_ext orderlet_widths_ccds = config.ARGUMENT.orderlet_widths_ccds @@ -462,6 +466,7 @@ if do_spectral_extraction or do_hk or do_bc: if lev0_stem_suffix in lev1_stem: lev1_stem = str_replace(lev1_stem, lev0_stem_suffix, "") output_lev1_file = output_extraction + lev1_stem + lev1_stem_suffix + fits_ext + is_raw = 1 if rect_method in input_lev0_file: is_raw = 0 @@ -530,6 +535,7 @@ if do_spectral_extraction or do_hk or do_bc: # (this should be moved below CaHK, but there are several to_fits calls for L1 -- let's fix this) data_level_str = 'L1' kpf_object = op_data + obj = GetHeaderValue(kpf_object, 'OBJECT') invoke_subrecipe("./recipes/quality_control.subrecipe") invoke_subrecipe("./recipes/diagnostics.subrecipe") op_data = kpf_object @@ -538,7 +544,7 @@ if do_spectral_extraction or do_hk or do_bc: # copy wls to the proper extension of lev1 data if do_sp_wavecopy and exists(output_lev1_file): output_data = kpf1_from_fits(output_lev1_file, data_type = data_type) - obs_date_time = GetHeaderValue(output_data,'DATE-MID') + obs_date_time = GetHeaderValue(output_data,'DATE-MID') if do_db_query_for_before_after_master_files == True: invoke_subrecipe("recipes/wls_interpolation.subrecipe") #HTI output_data = interpolated_l1 From f338e6a110a55611d46e384ba6de591dd7627483 Mon Sep 17 00:00:00 2001 From: Russ Laher Date: Wed, 26 Jun 2024 10:03:21 -0700 Subject: [PATCH 64/84] Consolidated database code. --- ..._db_before_after_master_files_framework.py | 6 +- ...query_db_nearest_master_files_framework.py | 18 +- ...ry_db_one_nearest_master_file_framework.py | 17 +- database/modules/utils/kpf_db.py | 334 +++++++++++++- database/scripts/registerCalFilesForDate.py | 18 +- database/test/test_getCalFile.py | 27 +- modules/calibration_lookup/src/alg.py | 410 ++++-------------- .../read_noise/src/read_noise_framework.py | 21 +- 8 files changed, 438 insertions(+), 413 deletions(-) diff --git a/database/modules/query_db_before_after_master_files/src/query_db_before_after_master_files_framework.py b/database/modules/query_db_before_after_master_files/src/query_db_before_after_master_files_framework.py index bc60fe529..e546c408b 100644 --- a/database/modules/query_db_before_after_master_files/src/query_db_before_after_master_files_framework.py +++ b/database/modules/query_db_before_after_master_files/src/query_db_before_after_master_files_framework.py @@ -12,9 +12,13 @@ from keckdrpframework.models.arguments import Arguments from database.modules.query_db_nearest_master_files.src.query_db_nearest_master_files_framework import md5 +import database.modules.utils.kpf_db as db + + # Global read-only variables DEFAULT_CFG_PATH = 'database/modules/query_db_before_after_master_files/configs/default.cfg' + class QueryDBBeforeAfterMasterFilesFramework(KPF0_Primitive): """ @@ -148,7 +152,7 @@ def run_query(self,cur,rep,query_template): # Compute checksum and compare with database value. - cksum = md5(filename) + cksum = db.md5(filename) self.logger.info('cksum = {}'.format(cksum)) if cksum == checksum: diff --git a/database/modules/query_db_nearest_master_files/src/query_db_nearest_master_files_framework.py b/database/modules/query_db_nearest_master_files/src/query_db_nearest_master_files_framework.py index 05394ee56..cfe8a873c 100644 --- a/database/modules/query_db_nearest_master_files/src/query_db_nearest_master_files_framework.py +++ b/database/modules/query_db_nearest_master_files/src/query_db_nearest_master_files_framework.py @@ -13,28 +13,18 @@ from kpfpipe.pipelines.fits_primitives import to_fits from keckdrpframework.models.arguments import Arguments +import database.modules.utils.kpf_db as db + + # Global read-only variables DEFAULT_CFG_PATH = 'database/modules/query_db_nearest_master_files/configs/default.cfg' -def md5(fname): - hash_md5 = hashlib.md5() - - try: - with open(fname, "rb") as f: - for chunk in iter(lambda: f.read(4096), b""): - hash_md5.update(chunk) - return hash_md5.hexdigest() - except: - print("*** Error: Cannot open file =",fname,"; quitting...") - exit(65) class QueryDBNearestMasterFilesFramework(KPF0_Primitive): """ Description: Queries the KPF pipeline-operations database for the nearest-in-time master files. - Currently, only master files made for data earlier than the observation date are returned. - Arguments: data_type (str): Type of data (e.g., KPF). @@ -219,7 +209,7 @@ def _perform(self): # Compute checksum and compare with database value. - cksum = md5(filename) + cksum = db.md5(filename) self.logger.info('cksum = {}'.format(cksum)) if cksum == checksum: diff --git a/database/modules/query_db_one_nearest_master_file/src/query_db_one_nearest_master_file_framework.py b/database/modules/query_db_one_nearest_master_file/src/query_db_one_nearest_master_file_framework.py index 23284344d..781088f67 100644 --- a/database/modules/query_db_one_nearest_master_file/src/query_db_one_nearest_master_file_framework.py +++ b/database/modules/query_db_one_nearest_master_file/src/query_db_one_nearest_master_file_framework.py @@ -13,27 +13,18 @@ from kpfpipe.pipelines.fits_primitives import to_fits from keckdrpframework.models.arguments import Arguments +import database.modules.utils.kpf_db as db + + # Global read-only variables DEFAULT_CFG_PATH = 'database/modules/query_db_one_nearest_master_file/configs/default.cfg' -def md5(fname): - hash_md5 = hashlib.md5() - - try: - with open(fname, "rb") as f: - for chunk in iter(lambda: f.read(4096), b""): - hash_md5.update(chunk) - return hash_md5.hexdigest() - except: - print("*** Error: Cannot open file =",fname,"; quitting...") - exit(65) class QueryDBOneNearestMasterFileFramework(KPF0_Primitive): """ Description: Queries the KPF pipeline-operations database for the one nearest-in-time master file. - Currently, only a master file made for data earlier than the observation date is returned. Arguments: data_type (str): Type of data (e.g., KPF). @@ -252,7 +243,7 @@ def _perform(self): # Compute checksum and compare with database value. - cksum = md5(filename) + cksum = db.md5(filename) self.logger.info('cksum = {}'.format(cksum)) if cksum == checksum: diff --git a/database/modules/utils/kpf_db.py b/database/modules/utils/kpf_db.py index 75fe7d2b9..34f2782e8 100644 --- a/database/modules/utils/kpf_db.py +++ b/database/modules/utils/kpf_db.py @@ -3,9 +3,13 @@ import re import hashlib -max_cal_file_age = '1000 days' +# Common methods. def md5(fname): + """ + Returns checksum = 68 if it fails to compute the MD5 checksum. + """ + hash_md5 = hashlib.md5() try: @@ -14,13 +18,14 @@ def md5(fname): hash_md5.update(chunk) return hash_md5.hexdigest() except: - print("*** Error: Cannot open file =",fname,"; quitting...") - exit(65) + print("*** Error: Failed to compute checksum =",fname,"; quitting...") + return 68 + class KPFDB: """ - Class to facilitate execution of queries in the KPF operations database. + Class to facilitate execution of queries in the KPF operations database. For each query a different method is defined. Returns exitcode: @@ -29,11 +34,18 @@ class KPFDB: 64 = Cannot connect to database 65 = Input file does not exist 66 = File checksum does not match database checksum + 67 = Could not execute query + 68 = Failed to compute checksum """ def __init__(self): self.exit_code = 0 + self.cId = None + self.db_level = None + self.db_cal_type = None + self.db_object = None + self.infobits = None self.filename = None self.conn = None @@ -74,12 +86,26 @@ def __init__(self): for record in self.cur: print('record = {}'.format(record)) - def get_nearest_master_file(self,obs_date,cal_file_level,contentbitmask,cal_type_pair): + + def get_nearest_master_file(self,obs_date,cal_file_level,contentbitmask,cal_type_pair,max_cal_file_age='1000 days'): ''' Get nearest master file for the specified set of input parameters. + + obs_date is a YYYYMMDD (string or number) ''' + # Reinitialize. + + self.cId = None + self.db_level = None + self.db_cal_type = None + self.db_object = None + self.infobits = None + self.filename = None + self.exit_code = 0 + + # Define query template. query_template =\ @@ -127,7 +153,18 @@ def get_nearest_master_file(self,obs_date,cal_file_level,contentbitmask,cal_type print('query = {}'.format(query)) - self.cur.execute(query) + + # Execute query. + + try: + self.cur.execute(query) + + except (Exception, psycopg2.DatabaseError) as error: + print('*** Error executing query ({}); skipping...'.format(query)) + self.exit_code = 67 + return + + record = self.cur.fetchone() if record is not None: @@ -159,17 +196,26 @@ def get_nearest_master_file(self,obs_date,cal_file_level,contentbitmask,cal_type # Compute checksum and compare with database value. - if isExist is True: - cksum = md5(filename) - print('cksum = {}'.format(cksum)) + cksum = md5(filename) + print('cksum = {}'.format(cksum)) + + if cksum == 68: + self.exit_code = 68 + return - if cksum == checksum: - print("File checksum is correct ({})...".format(filename)) - self.filename = filename - else: - print("*** Error: File checksum is incorrect ({}); quitting...".format(filename)) - self.exit_code = 66 - return + if cksum == checksum: + print("File checksum is correct ({})...".format(filename)) + self.cId = cId + self.db_level = db_level + self.db_cal_type = db_cal_type + self.db_object = db_object + self.infobits = infobits + self.filename = filename + self.exit_code = 0 + else: + print("*** Error: File checksum is incorrect ({}); quitting...".format(filename)) + self.exit_code = 66 + return def close(self): @@ -187,3 +233,259 @@ def close(self): if self.conn is not None: self.conn.close() print('Database connection closed.') + + + def get_nearest_master_file_before(self,obsdatetime,cal_file_level,contentbitmask,cal_type_pair,max_cal_file_age='1000 days'): + + ''' + Get nearest master file before for the specified set of input parameters. + + obsdatetime is an # ISO datetime string, generally from the DATE-MID FITS keyword. + ''' + + # Reinitialize. + + self.cId = None + self.db_level = None + self.db_cal_type = None + self.db_object = None + self.infobits = None + self.filename = None + self.exit_code = 0 + + + # Define query template. + + query_template =\ + "select * from getCalFileBefore(" +\ + "cast('OBSDATETIME' as timestamp)," +\ + "cast(LEVEL as smallint)," +\ + "cast('CALTYPE' as character varying(32))," +\ + "cast('OBJECT' as character varying(32))," +\ + "cast(CONTENTBITMASK as integer), " +\ + "cast('MAXFILEAGE' as interval)) as " +\ + "(cId integer," +\ + " level smallint," +\ + " caltype varchar(32)," +\ + " object varchar(32)," +\ + " filename varchar(255)," +\ + " checksum varchar(32)," +\ + " infobits integer," +\ + " startDate date);" + + + # Query database for all cal_types. + + print('----> cal_file_level = {}'.format(cal_file_level)) + print('----> contentbitmask = {}'.format(contentbitmask)) + print('----> cal_type_pair = {}'.format(cal_type_pair)) + + levelstr = str(cal_file_level) + cal_type = cal_type_pair[0] + object = cal_type_pair[1] + + rep = {"OBSDATETIME": obsdatetime, + "LEVEL": levelstr, + "CALTYPE": cal_type, + "OBJECT": object, + "MAXFILEAGE": max_cal_file_age} + + rep["CONTENTBITMASK"] = str(contentbitmask) + + rep = dict((re.escape(k), v) for k, v in rep.items()) + pattern = re.compile("|".join(rep.keys())) + query = pattern.sub(lambda m: rep[re.escape(m.group(0))], query_template) + + print('query = {}'.format(query)) + + + # Execute query. + + try: + self.cur.execute(query) + + except (Exception, psycopg2.DatabaseError) as error: + print('*** Error executing query ({}); skipping...'.format(query)) + self.exit_code = 67 + return + + + record = self.cur.fetchone() + + if record is not None: + cId = record[0] + db_level = record[1] + db_cal_type = record[2] + db_object = record[3] + filename = '/' + record[4] # docker run has -v /data/kpf/masters:/masters + checksum = record[5] + infobits = record[6] + + print('cId = {}'.format(cId)) + print('filename = {}'.format(filename)) + print('checksum = {}'.format(checksum)) + + + # See if file exists. + + isExist = os.path.exists(filename) + print('File existence = {}'.format(isExist)) + + if isExist is True: + print("File exists...") + else: + print("*** Error: File does not exist; quitting...") + self.exit_code = 65 + return + + + # Compute checksum and compare with database value. + + cksum = md5(filename) + print('cksum = {}'.format(cksum)) + + if cksum == 68: + self.exit_code = 68 + return + + if cksum == checksum: + print("File checksum is correct ({})...".format(filename)) + self.cId = cId + self.db_level = db_level + self.db_cal_type = db_cal_type + self.db_object = db_object + self.infobits = infobits + self.filename = filename + self.exit_code = 0 + else: + print("*** Error: File checksum is incorrect ({}); quitting...".format(filename)) + self.exit_code = 66 + return + + + def get_nearest_master_file_after(self,obsdatetime,cal_file_level,contentbitmask,cal_type_pair,max_cal_file_age='1000 days'): + + ''' + Get nearest master file after for the specified set of input parameters. + + obsdatetime is an # ISO datetime string, generally from the DATE-MID FITS keyword. + ''' + + # Reinitialize. + + self.cId = None + self.db_level = None + self.db_cal_type = None + self.db_object = None + self.infobits = None + self.filename = None + self.exit_code = 0 + + + # Define query template. + + query_template =\ + "select * from getCalFileAfter(" +\ + "cast('OBSDATETIME' as timestamp)," +\ + "cast(LEVEL as smallint)," +\ + "cast('CALTYPE' as character varying(32))," +\ + "cast('OBJECT' as character varying(32))," +\ + "cast(CONTENTBITMASK as integer), " +\ + "cast('MAXFILEAGE' as interval)) as " +\ + "(cId integer," +\ + " level smallint," +\ + " caltype varchar(32)," +\ + " object varchar(32)," +\ + " filename varchar(255)," +\ + " checksum varchar(32)," +\ + " infobits integer," +\ + " startDate date);" + + + # Query database for all cal_types. + + print('----> cal_file_level = {}'.format(cal_file_level)) + print('----> contentbitmask = {}'.format(contentbitmask)) + print('----> cal_type_pair = {}'.format(cal_type_pair)) + + levelstr = str(cal_file_level) + cal_type = cal_type_pair[0] + object = cal_type_pair[1] + + rep = {"OBSDATETIME": obsdatetime, + "LEVEL": levelstr, + "CALTYPE": cal_type, + "OBJECT": object, + "MAXFILEAGE": max_cal_file_age} + + rep["CONTENTBITMASK"] = str(contentbitmask) + + rep = dict((re.escape(k), v) for k, v in rep.items()) + pattern = re.compile("|".join(rep.keys())) + query = pattern.sub(lambda m: rep[re.escape(m.group(0))], query_template) + + print('query = {}'.format(query)) + + + # Execute query. + + try: + self.cur.execute(query) + + except (Exception, psycopg2.DatabaseError) as error: + print('*** Error executing query ({}); skipping...'.format(query)) + self.exit_code = 67 + return + + + record = self.cur.fetchone() + + if record is not None: + cId = record[0] + db_level = record[1] + db_cal_type = record[2] + db_object = record[3] + filename = '/' + record[4] # docker run has -v /data/kpf/masters:/masters + checksum = record[5] + infobits = record[6] + + print('cId = {}'.format(cId)) + print('filename = {}'.format(filename)) + print('checksum = {}'.format(checksum)) + + + # See if file exists. + + isExist = os.path.exists(filename) + print('File existence = {}'.format(isExist)) + + if isExist is True: + print("File exists...") + else: + print("*** Error: File does not exist; quitting...") + self.exit_code = 65 + return + + + # Compute checksum and compare with database value. + + cksum = md5(filename) + print('cksum = {}'.format(cksum)) + + if cksum == 68: + self.exit_code = 68 + return + + if cksum == checksum: + print("File checksum is correct ({})...".format(filename)) + self.cId = cId + self.db_level = db_level + self.db_cal_type = db_cal_type + self.db_object = db_object + self.infobits = infobits + self.filename = filename + self.exit_code = 0 + else: + print("*** Error: File checksum is incorrect ({}); quitting...".format(filename)) + self.exit_code = 66 + return diff --git a/database/scripts/registerCalFilesForDate.py b/database/scripts/registerCalFilesForDate.py index b16f71e8d..c2084577f 100644 --- a/database/scripts/registerCalFilesForDate.py +++ b/database/scripts/registerCalFilesForDate.py @@ -12,14 +12,9 @@ from datetime import datetime, timezone import time -exitcode = 0 +import database.modules.utils.kpf_db as db -def md5(fname): - hash_md5 = hashlib.md5() - with open(fname, "rb") as f: - for chunk in iter(lambda: f.read(4096), b""): - hash_md5.update(chunk) - return hash_md5.hexdigest() +exitcode = 0 # Process identification. @@ -143,7 +138,14 @@ def md5(fname): "ENDDATE": enddate, "FILESTATUS": filestatusstr} - cksum = md5(master_file) + cksum = db.md5(master_file) + + print('cksum = {}'.format(cksum)) + + # Check for error in computing MD5 checksum. + if cksum == 68: + continue + rep["CHECKSUM"] = cksum rep["FILENAME"] = master_file[1:] # Remove leading slash to make it a relative path. diff --git a/database/test/test_getCalFile.py b/database/test/test_getCalFile.py index 5e2abf10f..c3015b703 100644 --- a/database/test/test_getCalFile.py +++ b/database/test/test_getCalFile.py @@ -10,19 +10,9 @@ from astropy.io import fits import hashlib -exitcode = 0 +import database.modules.utils.kpf_db as db -def md5(fname): - hash_md5 = hashlib.md5() - - try: - with open(fname, "rb") as f: - for chunk in iter(lambda: f.read(4096), b""): - hash_md5.update(chunk) - return hash_md5.hexdigest() - except: - print("*** Error: Cannot open file =",fname,"; quitting...") - exit(65) +exitcode = 0 # Get date from command-line argument. @@ -80,7 +70,9 @@ def md5(fname): "cast(OBSDATE as date)," +\ "cast(LEVEL as smallint)," +\ "cast('CALTYPE' as character varying(32))," +\ - "cast('OBJECT' as character varying(32))) as " +\ + "cast('OBJECT' as character varying(32))," +\ + "cast(CONTENTBITMASK as integer), " +\ + "cast('MAXFILEAGE' as interval)) as " +\ "(cId integer," +\ " level smallint," +\ " caltype varchar(32)," +\ @@ -95,11 +87,16 @@ def md5(fname): levelstr = str(level) caltype = 'Flat' object = 'Autocal-flat-all' +contentbitmask = 3 +max_cal_file_age = '1000 days' rep = {"OBSDATE": obsdate, "LEVEL": levelstr, "CALTYPE": caltype, - "OBJECT": object} + "OBJECT": object, + "MAXFILEAGE": max_cal_file_age} + +rep["CONTENTBITMASK"] = str(contentbitmask) rep = dict((re.escape(k), v) for k, v in rep.items()) pattern = re.compile("|".join(rep.keys())) @@ -127,7 +124,7 @@ def md5(fname): # Compute checksum and compare with database value. -cksum = md5(filename) +cksum = db.md5(filename) print("Computed checksum =",cksum) if cksum == checksum: diff --git a/modules/calibration_lookup/src/alg.py b/modules/calibration_lookup/src/alg.py index 5a3e91367..96def917e 100644 --- a/modules/calibration_lookup/src/alg.py +++ b/modules/calibration_lookup/src/alg.py @@ -5,357 +5,111 @@ import re import psycopg2 -from database.modules.query_db_nearest_master_files.src.query_db_nearest_master_files_framework import md5 +import database.modules.utils.kpf_db as db from keckdrpframework.models.arguments import Arguments from kpfpipe.config.pipeline_config import ConfigClass from kpfpipe.logger import start_logger -def query_database(date, cal_types, cal_file_levels, log): - # Get database connection parameters from environment. - # *** This code is duplicated in QueryDBNearestMasterFilesFramework and needs - # to be consolidated - - dbport = os.getenv('DBPORT') - dbname = os.getenv('DBNAME') - dbuser = os.getenv('DBUSER') - dbpass = os.getenv('DBPASS') - dbserver = os.getenv('DBSERVER') - - - # Connect to database - - try: - conn = psycopg2.connect(host=dbserver,database=dbname,port=dbport,user=dbuser,password=dbpass) - except: - log.warning("Could not connect to database...") - return Arguments(64) - - # Open database cursor. - - cur = conn.cursor() - - - # Select database version. - - q1 = 'SELECT version();' - log.debug('q1 = {}'.format(q1)) - cur.execute(q1) - db_version = cur.fetchone() - log.debug('PostgreSQL database version = {}'.format(db_version)) - - - # Check database current_user. - - q2 = 'SELECT current_user;' - log.debug('q2 = {}'.format(q2)) - cur.execute(q2) - for record in cur: - log.debug('record = {}'.format(record)) - - - # Define query template. - - query_template =\ - "select * from getCalFile(" +\ - "cast(OBSDATE as date)," +\ - "cast(LEVEL as smallint)," +\ - "cast('CALTYPE' as character varying(32))," +\ - "cast('OBJECT' as character varying(32))," +\ - "cast(CONTENTBITMASK as integer)) as " +\ - "(cId integer," +\ - " level smallint," +\ - " caltype varchar(32)," +\ - " object varchar(32)," +\ - " filename varchar(255)," +\ - " checksum varchar(32)," +\ - " infobits integer," +\ - " startDate date);" - - obsdate = "'" + date[0:4] + "-" + date[4:6] + "-" + date[6:8] + "'" - - - # Query database for all cal_types. - - contentbitmask_list = [3] # Mask values for GREEN, RED, and CA_HK together, and then for just GREEN and RED. - - nearest_master_files_list = [] - - log.debug('----> self.cal_file_levels = {}'.format(cal_file_levels)) - log.debug('----> self.cal_types = {}'.format(cal_types)) - - for contentbitmask in contentbitmask_list: - for level,cal_type_pair in zip(cal_file_levels,cal_types): - log.debug('level = {}'.format(level)) - levelstr = str(level) - log.debug('cal_type_pair = {}'.format(cal_type_pair)) - cal_type = cal_type_pair[0] - object = cal_type_pair[1] - - rep = {"OBSDATE": obsdate, - "LEVEL": levelstr, - "CALTYPE": cal_type, - "OBJECT": object} - - rep["CONTENTBITMASK"] = str(contentbitmask) - - rep = dict((re.escape(k), v) for k, v in rep.items()) - pattern = re.compile("|".join(rep.keys())) - query = pattern.sub(lambda m: rep[re.escape(m.group(0))], query_template) - - log.debug('query = {}'.format(query)) - - cur.execute(query) - record = cur.fetchone() - - if record is not None: - cId = record[0] - db_level = record[1] - db_cal_type = record[2] - db_object = record[3] - filename = '/' + record[4] # docker run has -v /data/kpf/masters:/masters - checksum = record[5] - infobits = record[6] - - log.debug('cId = {}'.format(cId)) - log.debug('filename = {}'.format(filename)) - log.debug('checksum = {}'.format(checksum)) - - - # See if file exists. - - isExist = os.path.exists(filename) - log.debug('File existence = {}'.format(isExist)) - - - # Compute checksum and compare with database value. - - cksum = md5(filename) - log.debug('cksum = {}'.format(cksum)) - - if cksum == checksum: - log.debug("File checksum is correct...") - else: - log.debug("*** Error: File checksum is incorrect; quitting...") - exitcode = 64 - - cal_file_record = [cId, db_level, db_cal_type, db_object, contentbitmask, infobits, filename] - nearest_master_files_list.append(cal_file_record) - - query_db_nearest_master_files_exit_code = 0 - - - # Close database cursor and then connection. - - try: - cur.close() - except (Exception, psycopg2.DatabaseError) as error: - log.error(error) - query_db_nearest_master_files_exit_code = 1 - finally: - if conn is not None: - conn.close() - log.debug('Database connection closed.') - - exit_list = [query_db_nearest_master_files_exit_code,nearest_master_files_list] - - return exit_list - -def query_wls(datetime, cal_type, max_cal_file_age, log): - """ - Returns [exitcode_for_before_query,[before_master_file_record],exitcode_for_after_query,[after_master_file_record]]. - - """ - - # Get database connection parameters from environment. - dbport = os.getenv('DBPORT') - dbname = os.getenv('DBNAME') - dbuser = os.getenv('DBUSER') - dbpass = os.getenv('DBPASS') - dbserver = os.getenv('DBSERVER') - - # hard code some parameters for WLS lookup - # cal_type = [['WLS','autocal-lfc-all'], ['WLS', 'autocal-thar-all']] - cal_file_level = 1 # can assume WLS is in L1 format - contentbitmask = 3 - # max_cal_file_age = '3 days' - - # Connect to database - - try: - conn = psycopg2.connect(host=dbserver,database=dbname,port=dbport,user=dbuser,password=dbpass) - except: - log.warning("Could not connect to database...") - return [64] - - - # Open database cursor. - - cur = conn.cursor() - - - # Select database version. - - q1 = 'SELECT version();' - log.debug('q1 = {}'.format(q1)) - cur.execute(q1) - db_version = cur.fetchone() - log.debug('PostgreSQL database version = {}'.format(db_version)) - - - # Check database current_user. - - q2 = 'SELECT current_user;' - log.debug('q2 = {}'.format(q2)) - cur.execute(q2) - for record in cur: - log.debug('record = {}'.format(record)) - - - # Define query templates for database stored functions defined in database/schema/kpfOpsProcs.sql - - query_template_before =\ - "select * from getCalFileBefore(" +\ - "cast('OBSDATETIME' as timestamp)," +\ - "cast(LEVEL as smallint)," +\ - "cast('CALTYPE' as character varying(32))," +\ - "cast('OBJECT' as character varying(32))," +\ - "cast(CONTENTBITMASK as integer), " +\ - "cast('MAXFILEAGE' as interval)) as " +\ - "(cId integer," +\ - " level smallint," +\ - " caltype varchar(32)," +\ - " object varchar(32)," +\ - " filename varchar(255)," +\ - " checksum varchar(32)," +\ - " infobits integer," +\ - " startDate date);" - - query_template_after =\ - "select * from getCalFileAfter(" +\ - "cast('OBSDATETIME' as timestamp)," +\ - "cast(LEVEL as smallint)," +\ - "cast('CALTYPE' as character varying(32))," +\ - "cast('OBJECT' as character varying(32))," +\ - "cast(CONTENTBITMASK as integer), " +\ - "cast('MAXFILEAGE' as interval)) as " +\ - "(cId integer," +\ - " level smallint," +\ - " caltype varchar(32)," +\ - " object varchar(32)," +\ - " filename varchar(255)," +\ - " checksum varchar(32)," +\ - " infobits integer," +\ - " startDate date);" - - - # Populate query-template dictionaries with parameters. - - log.debug('----> self.cal_file_level = {}'.format(cal_file_level)) - log.debug('----> self.contentbitmask = {}'.format(contentbitmask)) - log.debug('----> self.cal_type = {}'.format(cal_type)) - - contentbitmask = contentbitmask - level = cal_file_level - cal_type = cal_type - - log.debug('level = {}'.format(level)) - levelstr = str(level) - log.debug('cal_type = {}'.format(cal_type)) - - object_before = cal_type[0][1] + "-eve" - object_after = object_before.replace('eve', 'morn') - - rep_before = {"OBSDATETIME": datetime, - "LEVEL": levelstr, - "CALTYPE": 'WLS', - "OBJECT": object_before, - "MAXFILEAGE": max_cal_file_age} - - rep_after = {"OBSDATETIME": datetime, - "LEVEL": levelstr, - "CALTYPE": 'WLS', - "OBJECT": object_after, - "MAXFILEAGE": max_cal_file_age} - - rep_before["CONTENTBITMASK"] = str(contentbitmask) - rep_after["CONTENTBITMASK"] = str(contentbitmask) - - - # Execute database queries. - - - exit_code_before,results_before = run_query(cur,rep_before,query_template_before, contentbitmask, log) - - exit_code_after,results_after = run_query(cur,rep_after,query_template_after, contentbitmask, log) - - - # Close database cursor and then connection. +def query_database(obsdate, cal_type_pairs, cal_file_levels, log): + """ + Returns [query_db_nearest_master_files_exit_code,nearest_master_files_list]. - try: - cur.close() - except (Exception, psycopg2.DatabaseError) as error: - log.error(error) - finally: - if conn is not None: - conn.close() - log.debug('Database connection closed.') + """ - exit_list = [exit_code_before,results_before,exit_code_after,results_after] + log.debug('----> obsdate = {}'.format(obsdate)) + log.debug('----> cal_file_levels = {}'.format(cal_file_levels)) + log.debug('----> cal_type_pairs = {}'.format(cal_type_pairs)) - return exit_list + query_db_nearest_master_files_exit_code = 0 - -def run_query(cur,rep,query_template, contentbitmask, log): - rep = dict((re.escape(k), v) for k, v in rep.items()) - pattern = re.compile("|".join(rep.keys())) - query = pattern.sub(lambda m: rep[re.escape(m.group(0))], query_template) + contentbitmask_list = [3] # Mask values for just GREEN and RED. - log.debug('query = {}'.format(query)) + nearest_master_files_list = [] - cur.execute(query) - record = cur.fetchone() + dbh = db.KPFDB() # Open database connection. - exit_code = 1 - results_list = [] + for contentbitmask in contentbitmask_list: + for cal_file_level,cal_type_pair in zip(cal_file_levels,cal_type_pairs): + log.debug('cal_file_level = {}'.format(cal_file_level)) + log.debug('cal_type_pair = {}'.format(cal_type_pair)) - if record is not None: + dbh.get_nearest_master_file(obsdate,cal_file_level,contentbitmask,cal_type_pair) + log.debug('database-query exit_code = {}'.format(dbh.exit_code)) + log.debug('Calibration database-query filename = {}'.format(dbh.filename)) + if dbh.exit_code == 0: + cal_file_record = [dbh.cId, dbh.db_level, dbh.db_cal_type, dbh.db_object, contentbitmask, dbh.infobits, dbh.filename] + nearest_master_files_list.append(cal_file_record) + else: + log.debug('*** Error: Calibration file cannot be queried from database; returning...') + query_db_nearest_master_files_exit_code = 1 - exit_code = 0 - cId = record[0] - db_level = record[1] - db_cal_type = record[2] - db_object = record[3] - filename = '/' + record[4] # docker run has -v /data/kpf/masters:/masters - checksum = record[5] - infobits = record[6] + dbh.close() # Close database connection. - log.debug('cId = {}'.format(cId)) - log.debug('filename = {}'.format(filename)) - log.debug('checksum = {}'.format(checksum)) + exit_list = [query_db_nearest_master_files_exit_code,nearest_master_files_list] + return exit_list - # See if file exists. - isExist = os.path.exists(filename) - log.debug('File existence = {}'.format(isExist)) +def query_wls(datetime, cal_type_pairs, max_cal_file_age, log): + """ + Returns [exitcode_for_before_query,[before_master_file_record],exitcode_for_after_query,[after_master_file_record]]. + """ - # Compute checksum and compare with database value. + # hard code some parameters for WLS lookup + # + # + # cal_type_pairs = [['WLS','autocal-lfc-all'], ['WLS', 'autocal-thar-all']] + # + # Only the first element of input argument cal_type_pairs list is pertinent below. + # + + cal_file_level = 1 # can assume WLS is in L1 format + contentbitmask = 3 + object_before = cal_type_pairs[0][1] + "-eve" + object_after = object_before.replace('eve', 'morn') + + cal_type_pair_before = ["WLS",object_before] + cal_type_pair_after = ["WLS",object_after] + + log.debug('----> datetime = {}'.format(datetime)) + log.debug('----> cal_file_level = {}'.format(cal_file_level)) + log.debug('----> contentbitmask = {}'.format(contentbitmask)) + log.debug('----> cal_type_pair_before = {}'.format(cal_type_pair_before)) + log.debug('----> cal_type_pair_after = {}'.format(cal_type_pair_after)) + log.debug('----> max_cal_file_age = {}'.format(max_cal_file_age)) + + + dbh = db.KPFDB() # Open database connection. + + dbh.get_nearest_master_file_before(datetime,cal_file_level,contentbitmask,cal_type_pair_before,max_cal_file_age) + log.debug('database-query exit_code = {}'.format(dbh.exit_code)) + log.debug('Calibration database-query filename before = {}'.format(dbh.filename)) + exit_code_before = dbh.exit_code + if exit_code_before == 0: + results_before = [dbh.cId, dbh.db_level, dbh.db_cal_type, dbh.db_object, contentbitmask, dbh.infobits, dbh.filename] + else: + log.debug('*** Error: Calibration file before cannot be queried from database; returning...') + exit_code_before = 1 + + dbh.get_nearest_master_file_after(datetime,cal_file_level,contentbitmask,cal_type_pair_after,max_cal_file_age) + log.debug('database-query exit_code = {}'.format(dbh.exit_code)) + log.debug('Calibration database-query filename after = {}'.format(dbh.filename)) + exit_code_after = dbh.exit_code + if exit_code_after == 0: + results_after = [dbh.cId, dbh.db_level, dbh.db_cal_type, dbh.db_object, contentbitmask, dbh.infobits, dbh.filename] + else: + log.debug('*** Error: Calibration file after cannot be queried from database; returning...') + exit_code_after = 1 - cksum = md5(filename) - log.debug('cksum = {}'.format(cksum)) + dbh.close() # Close database connection. - if cksum == checksum: - log.debug("File checksum is correct...") - else: - log.debug("*** Error: File checksum is incorrect; quitting...") - exit_code = 3 + exit_list = [exit_code_before,results_before,exit_code_after,results_after] - results_list = [cId, db_level, db_cal_type, db_object, contentbitmask, infobits, filename] + return exit_list - return exit_code,results_list def extract_from_db_results(results, cal_type): if cal_type.lower() == 'wls': @@ -374,7 +128,7 @@ def extract_from_db_results(results, cal_type): for cal in cal_list: if cal_type.lower() == cal[2].lower(): return cal[6] - + cals = [] for i in enumerate(results): cal_list = results @@ -385,7 +139,7 @@ class GetCalibrations: """ def __init__(self, datetime, default_config_path, logger=None): - + # Initialize DB class # self.db_lookup = QueryDBNearestMasterFilesFramework(self.action, self.context) diff --git a/modules/read_noise/src/read_noise_framework.py b/modules/read_noise/src/read_noise_framework.py index d08d55d03..5b7e3f8eb 100644 --- a/modules/read_noise/src/read_noise_framework.py +++ b/modules/read_noise/src/read_noise_framework.py @@ -17,29 +17,14 @@ from kpfpipe.pipelines.fits_primitives import to_fits from keckdrpframework.models.arguments import Arguments +import database.modules.utils.kpf_db as db + # Global read-only variables DEFAULT_CFG_PATH = 'modules/read_noise/configs/default.cfg' debug = 0 -# -# Global methods -# - -def md5(fname): - hash_md5 = hashlib.md5() - - try: - with open(fname, "rb") as f: - for chunk in iter(lambda: f.read(4096), b""): - hash_md5.update(chunk) - return hash_md5.hexdigest() - except: - self.logger.info('*** Error: Cannot open file ({}); quitting...'.format(fname)) - exit(65) - - class ReadNoiseFramework(KPF0_Primitive): """ @@ -755,7 +740,7 @@ def _perform(self): # Compute checksum and compare with database value. - cksum = md5(filename) + cksum = db.md5(filename) if debug == 1: print('cksum = {}'.format(cksum)) From e7b857d69a8fa99fe5517341bbbb96a884ce492c Mon Sep 17 00:00:00 2001 From: Russ Laher Date: Thu, 27 Jun 2024 05:30:04 -0700 Subject: [PATCH 65/84] Removed unnecessary import. --- .../src/query_db_before_after_master_files_framework.py | 1 - 1 file changed, 1 deletion(-) diff --git a/database/modules/query_db_before_after_master_files/src/query_db_before_after_master_files_framework.py b/database/modules/query_db_before_after_master_files/src/query_db_before_after_master_files_framework.py index e546c408b..e49819f9e 100644 --- a/database/modules/query_db_before_after_master_files/src/query_db_before_after_master_files_framework.py +++ b/database/modules/query_db_before_after_master_files/src/query_db_before_after_master_files_framework.py @@ -10,7 +10,6 @@ from kpfpipe.models.level0 import KPF0 from kpfpipe.primitives.level0 import KPF0_Primitive from keckdrpframework.models.arguments import Arguments -from database.modules.query_db_nearest_master_files.src.query_db_nearest_master_files_framework import md5 import database.modules.utils.kpf_db as db From bad7d17b93deb16fb8f7013ca649b38985ffb80c Mon Sep 17 00:00:00 2001 From: Russ Laher Date: Thu, 27 Jun 2024 05:34:19 -0700 Subject: [PATCH 66/84] Initial check-in. --- .../generateDailyRunScriptsBetweenTwoDates.pl | 132 ++++++++++++++++++ 1 file changed, 132 insertions(+) create mode 100755 cronjobs/generateDailyRunScriptsBetweenTwoDates.pl diff --git a/cronjobs/generateDailyRunScriptsBetweenTwoDates.pl b/cronjobs/generateDailyRunScriptsBetweenTwoDates.pl new file mode 100755 index 000000000..d4d7a23f4 --- /dev/null +++ b/cronjobs/generateDailyRunScriptsBetweenTwoDates.pl @@ -0,0 +1,132 @@ +#! /usr/local/bin/perl + +use strict; +use warnings; + +########################################################################################### +# This perl script requires the sqlite3 command to be installed: +# [rlaher@shrek ~]$ which sqlite3 +# ~/sw/anaconda3/bin/sqlite3 +# +# Instructions: Provide start and end dates on command line. E.g., +# export KPFCRONJOB_CODE=/data/user/rlaher/git/KPF-Pipeline +# mkdir -p ${KPFCRONJOB_CODE}/cronjobs/current_jobs +# cd ${KPFCRONJOB_CODE}/cronjobs/current_jobs +# ${KPFCRONJOB_CODE}/cronjobs/generateDailyRunScriptsBetweenTwoDates.pl 20230601 20230831 +########################################################################################### + +my $startyyyymmdd = shift @ARGV; # YYYYMMDD command-line parameter. +my $endyyyymmdd = shift @ARGV; # YYYYMMDD command-line parameter. + +if ((! (defined $startyyyymmdd)) or (! ($startyyyymmdd =~ /^\d\d\d\d\d\d\d\d$/))) { + die "startyyyymmdd either not defined or not correct format; quitting...\n"; +} + +if ((! (defined $endyyyymmdd)) or (! ($endyyyymmdd =~ /^\d\d\d\d\d\d\d\d$/))) { + die "endyyyymmdd either not defined or not correct format; quitting...\n"; +} + +my ($year, $month, $day); + +($year, $month, $day) = $startyyyymmdd =~ /(\d\d\d\d)(\d\d)(\d\d)/; +my $startdate = $year . '-' . $month . '-' . $day; + +($year, $month, $day) = $endyyyymmdd =~ /(\d\d\d\d)(\d\d)(\d\d)/; +my $enddate = $year . '-' . $month . '-' . $day; + + +my $cmdforjdstart = "sqlite3 test.db \"SELECT julianday(\'$startdate 00:00:00.0\');\""; +print "Executing cmd = [$cmdforjdstart]\n"; +my $computedjdstart = `$cmdforjdstart`; +chomp $computedjdstart; +print "computedjdstart = $computedjdstart\n"; + + +my $cmdforjdend = "sqlite3 test.db \"SELECT julianday(\'$enddate 00:00:00.0\');\""; +print "Executing cmd = [$cmdforjdend]\n"; +my $computedjdend = `$cmdforjdend`; +chomp $computedjdend; +print "computedjdend = $computedjdend\n"; + +my (@yyyymmdd); + +for (my $i = int($computedjdstart); $i <= int($computedjdend); $i++) { + + my $jdi = $i + 0.5; + my $cmd = "sqlite3 test.db \"SELECT datetime($jdi);\""; + + #print "Executing cmd = [$cmd]\n"; + + my $computedatetime = `$cmd`; + chomp $computedatetime; + + my ($obsyear, $obsmonth, $obsday) = $computedatetime =~ /(\d\d\d\d)-(\d\d)-(\d\d)/; + + my $obsdate = $obsyear . $obsmonth . $obsday; + print "jdi, obsdate = $jdi, $obsdate\n"; + + push @yyyymmdd, $obsdate; +} + +my @reverse_yyyymmdd = reverse @yyyymmdd; + + +my $pwd = $ENV{"PWD"}; +print "PWD=$pwd\n"; + +my $cronjob_code = $ENV{"KPFCRONJOB_CODE"}; + +my $scriptdir = $pwd; +my $scriptfile = "runMastersPipeline_From_${startyyyymmdd}_To_${endyyyymmdd}.sh"; + +if (! open(SCR, ">$scriptfile") ) { + die "*** Error: Could not open $scriptfile for writing; quitting...\n"; +} + +my $shebang = '#! /bin/bash -l'; + +print SCR "$shebang\n"; + +foreach my $yyyymmdd (@reverse_yyyymmdd) { + print "yyyymmdd=$yyyymmdd\n"; + + my $outfile = "runDailyPipelines_${yyyymmdd}.sh"; + + if (! open(OUT, ">$outfile") ) { + die "*** Error: Could not open $outfile for writing; quitting...\n"; + } + + my @op = `cat $cronjob_code/cronjobs/runDailyPipelines.sh`; + + foreach my $op (@op) { + if ($op=~/^procdate/) {next;} + $op =~ s/\$procdate/$yyyymmdd/g; + print OUT "$op"; + } + + if (! close(OUT) ) { + die "*** Error: Couldn't close $outfile; quitting...\n"; + } + + `chmod +x $outfile`; + + my $cmd = $scriptdir . '/runDailyPipelines_' . + $yyyymmdd . + '.sh >& ' . $cronjob_code . '/runDailyPipelines_' . + $yyyymmdd . + '.out &'; + + print SCR "echo \"Executing command: $cmd\"\n"; + print SCR "$cmd\n"; + print SCR "echo \"Sleeping 2400 seconds\"\n"; + print SCR "sleep 2400\n"; +} + +if (! close(SCR) ) { + die "*** Error: Could not close $scriptfile; quitting...\n"; +} + +`chmod +x $scriptfile`; + +exit 0; + From c82a01a29a7693e04cfb8300e27bc6b10fd5dc71 Mon Sep 17 00:00:00 2001 From: Russ Laher Date: Fri, 28 Jun 2024 08:03:12 -0700 Subject: [PATCH 67/84] Added initialization for results_before and results_after. --- modules/calibration_lookup/src/alg.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/modules/calibration_lookup/src/alg.py b/modules/calibration_lookup/src/alg.py index 96def917e..7b1e05525 100644 --- a/modules/calibration_lookup/src/alg.py +++ b/modules/calibration_lookup/src/alg.py @@ -66,6 +66,9 @@ def query_wls(datetime, cal_type_pairs, max_cal_file_age, log): # Only the first element of input argument cal_type_pairs list is pertinent below. # + results_before = None + results_after = None + cal_file_level = 1 # can assume WLS is in L1 format contentbitmask = 3 object_before = cal_type_pairs[0][1] + "-eve" From c423dd75d04450cb7913cc9ad170432ec18abd1e Mon Sep 17 00:00:00 2001 From: BJ Fulton Date: Tue, 9 Jul 2024 14:54:46 -0700 Subject: [PATCH 68/84] pandas based queries working --- database/modules/utils/kpf_db.cfg | 5 + database/modules/utils/kpf_db.py | 180 +++++++++++++++++++++----- modules/calibration_lookup/src/alg.py | 174 ++++--------------------- 3 files changed, 179 insertions(+), 180 deletions(-) create mode 100644 database/modules/utils/kpf_db.cfg diff --git a/database/modules/utils/kpf_db.cfg b/database/modules/utils/kpf_db.cfg new file mode 100644 index 000000000..27f14f6ca --- /dev/null +++ b/database/modules/utils/kpf_db.cfg @@ -0,0 +1,5 @@ +[LOGGER] +log = True +log_path = logs/database.log +log_level = debug +log_verbose = True \ No newline at end of file diff --git a/database/modules/utils/kpf_db.py b/database/modules/utils/kpf_db.py index 34f2782e8..c3f9c67cd 100644 --- a/database/modules/utils/kpf_db.py +++ b/database/modules/utils/kpf_db.py @@ -2,6 +2,13 @@ import psycopg2 import re import hashlib +import pandas as pd +from astropy.time import Time + +from kpfpipe.models.level1 import KPF1 +from kpfpipe.logger import start_logger + +DEFAULT_CFG_PATH = 'database/utils/configs/kpf_db.cfg' # Common methods. @@ -38,7 +45,11 @@ class KPFDB: 68 = Failed to compute checksum """ - def __init__(self): + def __init__(self, logger=None): + if logger == None: + self.log = start_logger('KPFDB', DEFAULT_CFG_PATH) + else: + self.log = logger self.exit_code = 0 self.cId = None @@ -86,6 +97,114 @@ def __init__(self): for record in self.cur: print('record = {}'.format(record)) + def query_to_pandas(self, query): + results = pd.read_sql_query(query, self.conn) + + return results + + def get_nearest_master(self, obs_date, cal_file_level, cal_type_pair, contentbitmask=3, max_cal_delta_time='1000 days'): + """Get the master file closest in time to obs_date of the specified calibration type + + Args: + obs_date (string): ISO formatted datetime string + cal_file_level (int): data level (0, 1, 2) + cal_type_pair (list): two-element list. First element is the calibration type (e.g. bias) and the second element is the object name (e.g. autocal-bias) + contentbitmask (int): (optional) contentbitmask flag to match (default=3) + max_cal_delta_time (string): (optional) maximum delta time between obs_date and the calibration file to consider (default = 14 days) + + Returns: + string: path to calibration file + + """ + query_template = f""" +SELECT *, +(minmjd + maxmjd)/2 as meanmjd +FROM calfiles +WHERE CAST('{obs_date}' as date) BETWEEN (startdate - INTERVAL '{max_cal_delta_time}') AND (startdate + INTERVAL '{max_cal_delta_time}') +AND level = '{cal_file_level}' +AND contentbits = {contentbitmask} +AND caltype = '{cal_type_pair[0].lower()}' +AND object = '{cal_type_pair[1]}' +ORDER BY startdate;""" + + df = self.query_to_pandas(query_template) + if len(df) == 0: + return [1, None] + + obst = Time(obs_date) + obs_jd = obst.mjd + print(obs_jd) + + df['delta'] = (df['meanmjd'] - obs_jd).abs() + best_match = df.loc[df['delta'].idxmin()] + fname = os.path.join('/', best_match['filename']) + + self.verify_checksum(fname, best_match['checksum']) + + return [self.exit_code, fname] + + def get_bracketing_wls(self, obs_date, object_name, contentbitmask=3, max_cal_delta_time='3 days'): + """Get the WLS files that bracket a given obs_date + + Args: + obs_date (string): ISO formatted datetime string + object_name (list): Partial object name to search for (e.g. autocal-lfc-all). Object name in database must contain this name but doesn't need to be a complete match. + contentbitmask (int): (optional) contentbitmask flag to match (default=3) + max_cal_delta_time (string): (optional) maximum delta time between obs_date and the calibration file to consider (default = 3 days) + + """ + + query_template = f""" +SELECT *, +(minmjd + maxmjd)/2 as meanmjd +FROM calfiles +WHERE CAST('{obs_date}' as date) BETWEEN (startdate - INTERVAL '{max_cal_delta_time}') AND (startdate + INTERVAL '{max_cal_delta_time}') +and level = 1 +and contentbits = {contentbitmask} +AND caltype = 'wls' +AND object like '%{object_name}%' +ORDER BY startdate;""" + + df = self.query_to_pandas(query_template) + if len(df) == 0: + return [1, None, 1, None] + + obst = Time(obs_date) + obs_jd = obst.mjd + + mjds = [] + for i, row in df.iterrows(): + fname = '/' + row['filename'] + l1 = KPF1.from_fits(fname) + dt = l1.header['PRIMARY']['DATE-MID'] + mjd = Time(dt).mjd + mjds.append(mjd) + + df['meanmjd'] = mjds + + df['delta'] = (df['meanmjd'] - obs_jd).abs() + before_df = df[df['meanmjd'] < obs_jd] + after_df = df[df['meanmjd'] >= obs_jd] + + try: + best_before = before_df.loc[before_df['delta'].idxmin()] + fname_before = os.path.join('/', best_before['filename']) + self.verify_checksum(fname_before, best_before['checksum']) + before_code = 0 + except (TypeError, ValueError): + fname_before = None + before_code = 1 + try: + best_after = after_df.loc[after_df['delta'].idxmin()] + fname_after = os.path.join('/', best_after['filename']) + self.verify_checksum(fname_after, best_after['checksum']) + after_code = 0 + except (TypeError, ValueError): + fname_after = None + after_code = 1 + + return [before_code, fname_before, after_code, fname_after] + def get_nearest_master_file(self,obs_date,cal_file_level,contentbitmask,cal_type_pair,max_cal_file_age='1000 days'): @@ -180,42 +299,45 @@ def get_nearest_master_file(self,obs_date,cal_file_level,contentbitmask,cal_type print('filename = {}'.format(filename)) print('checksum = {}'.format(checksum)) + self.verify_checksum(filename, checksum) - # See if file exists. + self.cId = cId + self.db_level = db_level + self.db_cal_type = db_cal_type + self.db_object = db_object + self.infobits = infobits - isExist = os.path.exists(filename) - print('File existence = {}'.format(isExist)) - if isExist is True: - print("File exists...") - else: - print("*** Error: File does not exist; quitting...") - self.exit_code = 65 - return + def verify_checksum(self, filename, checksum): + # See if file exists. + isExist = os.path.exists(filename) + print('File existence = {}'.format(isExist)) + if isExist is True: + print("File exists...") + else: + print("*** Error: File does not exist; quitting...") + self.exit_code = 65 + return - # Compute checksum and compare with database value. - cksum = md5(filename) - print('cksum = {}'.format(cksum)) + # Compute checksum and compare with database value. - if cksum == 68: - self.exit_code = 68 - return + cksum = md5(filename) + print('cksum = {}'.format(cksum)) - if cksum == checksum: - print("File checksum is correct ({})...".format(filename)) - self.cId = cId - self.db_level = db_level - self.db_cal_type = db_cal_type - self.db_object = db_object - self.infobits = infobits - self.filename = filename - self.exit_code = 0 - else: - print("*** Error: File checksum is incorrect ({}); quitting...".format(filename)) - self.exit_code = 66 - return + if cksum == 68: + self.exit_code = 68 + return + + if cksum == checksum: + print("File checksum is correct ({})...".format(filename)) + self.filename = filename + self.exit_code = 0 + else: + print("*** Error: File checksum is incorrect ({}); quitting...".format(filename)) + self.exit_code = 66 + return def close(self): diff --git a/modules/calibration_lookup/src/alg.py b/modules/calibration_lookup/src/alg.py index 7b1e05525..c1e85b848 100644 --- a/modules/calibration_lookup/src/alg.py +++ b/modules/calibration_lookup/src/alg.py @@ -1,141 +1,12 @@ from datetime import datetime import pandas as pd -import os -import re -import psycopg2 -import database.modules.utils.kpf_db as db +from database.modules.utils.kpf_db import KPFDB from keckdrpframework.models.arguments import Arguments from kpfpipe.config.pipeline_config import ConfigClass from kpfpipe.logger import start_logger -def query_database(obsdate, cal_type_pairs, cal_file_levels, log): - """ - Returns [query_db_nearest_master_files_exit_code,nearest_master_files_list]. - - """ - - log.debug('----> obsdate = {}'.format(obsdate)) - log.debug('----> cal_file_levels = {}'.format(cal_file_levels)) - log.debug('----> cal_type_pairs = {}'.format(cal_type_pairs)) - - query_db_nearest_master_files_exit_code = 0 - - - contentbitmask_list = [3] # Mask values for just GREEN and RED. - - nearest_master_files_list = [] - - dbh = db.KPFDB() # Open database connection. - - for contentbitmask in contentbitmask_list: - for cal_file_level,cal_type_pair in zip(cal_file_levels,cal_type_pairs): - log.debug('cal_file_level = {}'.format(cal_file_level)) - log.debug('cal_type_pair = {}'.format(cal_type_pair)) - - dbh.get_nearest_master_file(obsdate,cal_file_level,contentbitmask,cal_type_pair) - log.debug('database-query exit_code = {}'.format(dbh.exit_code)) - log.debug('Calibration database-query filename = {}'.format(dbh.filename)) - if dbh.exit_code == 0: - cal_file_record = [dbh.cId, dbh.db_level, dbh.db_cal_type, dbh.db_object, contentbitmask, dbh.infobits, dbh.filename] - nearest_master_files_list.append(cal_file_record) - else: - log.debug('*** Error: Calibration file cannot be queried from database; returning...') - query_db_nearest_master_files_exit_code = 1 - - - dbh.close() # Close database connection. - - exit_list = [query_db_nearest_master_files_exit_code,nearest_master_files_list] - - return exit_list - - -def query_wls(datetime, cal_type_pairs, max_cal_file_age, log): - """ - Returns [exitcode_for_before_query,[before_master_file_record],exitcode_for_after_query,[after_master_file_record]]. - - """ - - # hard code some parameters for WLS lookup - # - # - # cal_type_pairs = [['WLS','autocal-lfc-all'], ['WLS', 'autocal-thar-all']] - # - # Only the first element of input argument cal_type_pairs list is pertinent below. - # - - results_before = None - results_after = None - - cal_file_level = 1 # can assume WLS is in L1 format - contentbitmask = 3 - object_before = cal_type_pairs[0][1] + "-eve" - object_after = object_before.replace('eve', 'morn') - - cal_type_pair_before = ["WLS",object_before] - cal_type_pair_after = ["WLS",object_after] - - log.debug('----> datetime = {}'.format(datetime)) - log.debug('----> cal_file_level = {}'.format(cal_file_level)) - log.debug('----> contentbitmask = {}'.format(contentbitmask)) - log.debug('----> cal_type_pair_before = {}'.format(cal_type_pair_before)) - log.debug('----> cal_type_pair_after = {}'.format(cal_type_pair_after)) - log.debug('----> max_cal_file_age = {}'.format(max_cal_file_age)) - - - dbh = db.KPFDB() # Open database connection. - - dbh.get_nearest_master_file_before(datetime,cal_file_level,contentbitmask,cal_type_pair_before,max_cal_file_age) - log.debug('database-query exit_code = {}'.format(dbh.exit_code)) - log.debug('Calibration database-query filename before = {}'.format(dbh.filename)) - exit_code_before = dbh.exit_code - if exit_code_before == 0: - results_before = [dbh.cId, dbh.db_level, dbh.db_cal_type, dbh.db_object, contentbitmask, dbh.infobits, dbh.filename] - else: - log.debug('*** Error: Calibration file before cannot be queried from database; returning...') - exit_code_before = 1 - - dbh.get_nearest_master_file_after(datetime,cal_file_level,contentbitmask,cal_type_pair_after,max_cal_file_age) - log.debug('database-query exit_code = {}'.format(dbh.exit_code)) - log.debug('Calibration database-query filename after = {}'.format(dbh.filename)) - exit_code_after = dbh.exit_code - if exit_code_after == 0: - results_after = [dbh.cId, dbh.db_level, dbh.db_cal_type, dbh.db_object, contentbitmask, dbh.infobits, dbh.filename] - else: - log.debug('*** Error: Calibration file after cannot be queried from database; returning...') - exit_code_after = 1 - - dbh.close() # Close database connection. - - exit_list = [exit_code_before,results_before,exit_code_after,results_after] - - return exit_list - - -def extract_from_db_results(results, cal_type): - if cal_type.lower() == 'wls': - results_list = [None, None] - if results[0] == 0: - results_list[0] = results[1][6] - if results[2] == 0: - results_list[1] = results[3][6] - return results_list - elif results[0] == 1: - return '' - elif cal_type.lower() == 'wls': - return [results[1][6], results[3][6]] - else: - cal_list = results[1] - for cal in cal_list: - if cal_type.lower() == cal[2].lower(): - return cal[6] - - cals = [] - for i in enumerate(results): - cal_list = results - class GetCalibrations: """This utility looks up the associated calibrations for a given datetime and returns a dictionary with all calibration types. @@ -161,6 +32,7 @@ def __init__(self, datetime, default_config_path, logger=None): self.wls_cal_types = eval(self.config['PARAM']['wls_cal_types']) self.max_age = eval(self.config['PARAM']['max_cal_age']) self.defaults = eval(self.config['PARAM']['defaults']) + self.db = KPFDB(logger=self.log) def lookup(self): dt = datetime.strptime(self.datetime, "%Y-%m-%dT%H:%M:%S.%f") @@ -180,28 +52,28 @@ def lookup(self): output_cals[cal] = eval(row['CALPATH']) except SyntaxError: output_cals[cal] = row['CALPATH'] - elif lookup == 'database' and db_results == None: - db_results = query_database(date_str, self.db_cal_types, self.db_cal_file_levels, self.log) - if db_results[0] == 0: - output_cals[cal] = extract_from_db_results(db_results, cal) - else: - output_cals[cal] = self.defaults[cal] - elif lookup == 'database' and db_results != None: - if db_results[0] == 0: - output_cals[cal] = extract_from_db_results(db_results, cal) - else: - output_cals[cal] = self.defaults[cal] + elif lookup == 'database': + for lvl, cal_type in zip(self.db_cal_file_levels, self.db_cal_types): + if cal_type[0] in output_cals.keys(): + continue + db_results = self.db.get_nearest_master(self.datetime, lvl, cal_type) + if db_results[0] == 0: + output_cals[cal_type[0]] = db_results[1] + else: + output_cals[cal_type[0]] = self.defaults[cal_type[0]] elif lookup == 'wls': - wls_results = query_wls(self.datetime, self.wls_cal_types, self.max_age, self.log) - if len(wls_results) > 1 and (wls_results[0] == 0 or wls_results[2] == 0): - wls_files = extract_from_db_results(wls_results, cal) - if wls_files[0] == None: - wls_files[0] = wls_files[1] - if wls_files[1] == None: - wls_files[1] = wls_files[0] - output_cals[cal] = wls_files - else: - output_cals[cal] = self.defaults[cal] + for cal_type in self.wls_cal_types: + wls_results = self.db.get_bracketing_wls(self.datetime, cal_type[1], max_cal_delta_time=self.max_age) + print(wls_results) + if len(wls_results) > 1 and (wls_results[0] == 0 or wls_results[2] == 0): + wls_files = [wls_results[1], wls_results[3]] + if wls_files[0] == None: + wls_files[0] = wls_files[1] + if wls_files[1] == None: + wls_files[1] = wls_files[0] + output_cals[cal] = wls_files + else: + output_cals[cal] = self.defaults[cal] return output_cals From 2574f1efa53c03700576a434448d10ecb2fab1d3 Mon Sep 17 00:00:00 2001 From: BJ Fulton Date: Tue, 9 Jul 2024 15:02:27 -0700 Subject: [PATCH 69/84] dont allow midnight WLS --- database/modules/utils/kpf_db.py | 2 +- modules/calibration_lookup/src/alg.py | 1 - 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/database/modules/utils/kpf_db.py b/database/modules/utils/kpf_db.py index c3f9c67cd..0146f7837 100644 --- a/database/modules/utils/kpf_db.py +++ b/database/modules/utils/kpf_db.py @@ -162,7 +162,7 @@ def get_bracketing_wls(self, obs_date, object_name, contentbitmask=3, max_cal_de and level = 1 and contentbits = {contentbitmask} AND caltype = 'wls' -AND object like '%{object_name}%' +AND (object like '%{object_name}-eve%' OR object like '%{object_name}-morn%') ORDER BY startdate;""" df = self.query_to_pandas(query_template) diff --git a/modules/calibration_lookup/src/alg.py b/modules/calibration_lookup/src/alg.py index c1e85b848..6fbe1307d 100644 --- a/modules/calibration_lookup/src/alg.py +++ b/modules/calibration_lookup/src/alg.py @@ -64,7 +64,6 @@ def lookup(self): elif lookup == 'wls': for cal_type in self.wls_cal_types: wls_results = self.db.get_bracketing_wls(self.datetime, cal_type[1], max_cal_delta_time=self.max_age) - print(wls_results) if len(wls_results) > 1 and (wls_results[0] == 0 or wls_results[2] == 0): wls_files = [wls_results[1], wls_results[3]] if wls_files[0] == None: From e05be837b1e78490c871cf5d3b925fc37db497d1 Mon Sep 17 00:00:00 2001 From: Russ Laher Date: Mon, 15 Jul 2024 07:35:55 -0700 Subject: [PATCH 70/84] Modified to register Etalonmask*.csv files in Calfiles database table. --- database/scripts/registerCalFilesForDate.py | 52 +++++++++++++++++++-- 1 file changed, 48 insertions(+), 4 deletions(-) diff --git a/database/scripts/registerCalFilesForDate.py b/database/scripts/registerCalFilesForDate.py index c2084577f..bbe8f8031 100644 --- a/database/scripts/registerCalFilesForDate.py +++ b/database/scripts/registerCalFilesForDate.py @@ -47,6 +47,15 @@ print("file =",file) master_files.append(file) +search_path = '/masters' + '/' + datearg + '/wlpixelfiles/' + 'Etalonmask*.csv' + +print("search_path =",search_path) +input_files = glob.glob(search_path) + +for file in input_files: + print("file =",file) + master_files.append(file) + # Get database connection parameters from environment. @@ -163,14 +172,49 @@ rep["LEVEL"] = str(1) + # Currently only two different kinds of CSV files are handled. + + filename_object = 'not_found_yet' + + if 'Etalonmask' in csv_file: + filename_caltype = 'etalonmask' + + filename_match = re.match(r".+_master_(.+)_L[1:2]\.csv", csv_file) + + try: + filename_substring = filename_match.group(1) + print("-----1-----> fn_substring =",filename_substring) + + filename_match = re.match(r"(.+?)_(.+)", filename_substring) + + try: + filename_object = filename_match.group(2) + + print("-------2--------> fn_object =",filename_object) + + except: + print("-------2--------> No filename match found") + continue + + except: + print("-----1-----> No filename match found") + continue + + filename_object = filename_object + "_" # Add underbar suffix for Etalonmask only. + + else: + filename_caltype = 'ordertrace' + filename_object = filename_caltype + + rep["IMTYPE"] = filename_caltype + + if 'GREEN' in csv_file: hasGREEN = 1 - rep["IMTYPE"] = "ordertrace" - rep["TARGOBJ"] = "ordertracegreen" + rep["TARGOBJ"] = filename_object + "green" elif 'RED' in csv_file: hasRED = 1 - rep["IMTYPE"] = "ordertrace" - rep["TARGOBJ"] = "ordertracered" + rep["TARGOBJ"] = filename_object + "red" contentbits = hasCAHK * 2**2 + hasRED * 2**1 + hasGREEN * 2**0 rep["CONTENTBITS"] = str(contentbits) From b14648f75dbfd8c2d77535ddca22f450c7541fa3 Mon Sep 17 00:00:00 2001 From: Russ Laher Date: Tue, 16 Jul 2024 08:28:59 -0700 Subject: [PATCH 71/84] Modified to conditionally compute stack median without outlier rejection if nframes too small. --- modules/Utils/frame_stacker.py | 45 ++++++++++++++++++- modules/master_arclamp/configs/default.cfg | 2 +- .../src/master_arclamp_framework.py | 14 +++++- 3 files changed, 56 insertions(+), 5 deletions(-) diff --git a/modules/Utils/frame_stacker.py b/modules/Utils/frame_stacker.py index a8682a167..af86e992c 100644 --- a/modules/Utils/frame_stacker.py +++ b/modules/Utils/frame_stacker.py @@ -19,6 +19,8 @@ class FrameStacker: n_sigma (float): Number of sigmas for data clipping (default = 2.5). """ + __version__ = '1.0.1' + def __init__(self,frames_data,n_sigma=2.5,logger=None): self.frames_data = frames_data self.n_sigma = n_sigma @@ -109,13 +111,52 @@ def compute(self): unc = np.sqrt(var/cnt) if self.logger: - self.logger.debug('{}.compute(): avg(bias),avg(cnt),avg(unc) = {},{},{}'.\ + self.logger.debug('{}.compute(): avg(stack_avg),avg(cnt),avg(unc) = {},{},{}'.\ format(self.__class__.__name__,avg.mean(),cnt.mean(),unc.mean())) else: - print('---->{}.compute(): avg(bias),avg(cnt),avg(unc) = {},{},{}'.\ + print('---->{}.compute(): avg(stack_avg),avg(cnt),avg(unc) = {},{},{}'.\ format(self.__class__.__name__,avg.mean(),cnt.mean(),unc.mean())) return avg,var,cnt,unc +# +# Method similar to compute() to be called in case of insufficient number of frames in stack, +# in which case the estimator of the expected value will be the stack median. +# The calling program determines whether to call this method. +# + + def compute_stack_median(self): + + """ + Compute median of stack. + Data dispersion is based on the median absolute deviation. + + Returns the stack median image. + """ + + a = self.frames_data + frames_data_shape = np.shape(a) + + if self.logger: + self.logger.debug('{}.compute(): frames_data_shape = {}'.\ + format(self.__class__.__name__,frames_data_shape)) + else: + print('---->{}.compute(): frames_data_shape = {}'.\ + format(self.__class__.__name__,frames_data_shape)) + + med = np.median(a, axis=0) + mad = np.median(np.absolute(a - med),axis=0) + var = mad * mad + cnt = np.full((frames_data_shape[1],frames_data_shape[2]),frames_data_shape[0]) + unc = np.sqrt(var/cnt) + + if self.logger: + self.logger.debug('{}.compute(): avg(stack_med),avg(cnt),avg(unc) = {},{},{}'.\ + format(self.__class__.__name__,med.mean(),cnt.mean(),unc.mean())) + else: + print('---->{}.compute(): avg(stack_med),avg(cnt),avg(unc) = {},{},{}'.\ + format(self.__class__.__name__,med.mean(),cnt.mean(),unc.mean())) + return med,var,cnt,unc + diff --git a/modules/master_arclamp/configs/default.cfg b/modules/master_arclamp/configs/default.cfg index 015f307d7..0e1a1d796 100644 --- a/modules/master_arclamp/configs/default.cfg +++ b/modules/master_arclamp/configs/default.cfg @@ -10,4 +10,4 @@ log_verbose = True [PARAM] skip_flattening = 0 max_num_frames_to_stack = 50 - +min_num_frames_to_stack_with_outlier_rejection = 4 diff --git a/modules/master_arclamp/src/master_arclamp_framework.py b/modules/master_arclamp/src/master_arclamp_framework.py index 1a5d8c4a8..85926fa3c 100644 --- a/modules/master_arclamp/src/master_arclamp_framework.py +++ b/modules/master_arclamp/src/master_arclamp_framework.py @@ -60,7 +60,9 @@ class MasterArclampFramework(KPF0_Primitive): module_config_path (str): Location of default config file (modules/master_flat/configs/default.cfg) logger (object): Log messages written to log_path specified in default config file. skip_flattening (int): Set to 1 to skip flattening of the inputs; otherwise zero. - max_num_frames_to_stack(int): Maximum number of frames allowed in the stack. + max_num_frames_to_stack (int): Maximum number of frames allowed in the stack. + min_num_frames_to_stack_with_outlier_rejection (int): Minimum number of frames to stack_with_outlier_rejection + (if less than this minimum and >=2, then use simple median) Outputs: Full-frame-image FITS extensions in output master arclamp: @@ -118,8 +120,11 @@ def __init__(self, action, context): self.skip_flattening = int(module_param_cfg.get('skip_flattening', 0)) self.max_num_frames_to_stack = int(module_param_cfg.get('max_num_frames_to_stack', 50)) + self.min_num_frames_to_stack_with_outlier_rejection = int(module_param_cfg.get('min_num_frames_to_stack_with_outlier_rejection', 4)) self.logger.info('self.skip_flattening = {}'.format(self.skip_flattening)) + self.logger.info('self.max_num_frames_to_stack = {}'.format(self.max_num_frames_to_stack)) + self.logger.info('self.min_num_frames_to_stack_with_outlier_rejection = {}'.format(self.min_num_frames_to_stack_with_outlier_rejection)) def _perform(self): @@ -418,7 +423,12 @@ def _perform(self): normalized_frames_data = np.array(normalized_frames_data) fs = FrameStacker(normalized_frames_data,self.n_sigma,self.logger) - stack_avg,stack_var,cnt,stack_unc = fs.compute() + if n_frames >= self.min_num_frames_to_stack_with_outlier_rejection: + self.logger.debug('Computing stack average with outlier rejection...') + stack_avg,stack_var,cnt,stack_unc = fs.compute() + else: + self.logger.debug('Computing stack median (no outlier rejection)...') + stack_avg,stack_var,cnt,stack_unc = fs.compute_stack_median() arclamp = stack_avg arclamp_unc = stack_unc From 0887b468dc0d66f8939356c950918f17d7321c33 Mon Sep 17 00:00:00 2001 From: BJ Fulton Date: Thu, 18 Jul 2024 15:15:27 -0700 Subject: [PATCH 72/84] catch database query error --- database/modules/utils/kpf_db.py | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/database/modules/utils/kpf_db.py b/database/modules/utils/kpf_db.py index 0146f7837..04f8ef62e 100644 --- a/database/modules/utils/kpf_db.py +++ b/database/modules/utils/kpf_db.py @@ -8,7 +8,7 @@ from kpfpipe.models.level1 import KPF1 from kpfpipe.logger import start_logger -DEFAULT_CFG_PATH = 'database/utils/configs/kpf_db.cfg' +DEFAULT_CFG_PATH = 'database/modules/utils/kpf_db.cfg' # Common methods. @@ -98,7 +98,11 @@ def __init__(self, logger=None): print('record = {}'.format(record)) def query_to_pandas(self, query): - results = pd.read_sql_query(query, self.conn) + try: + results = pd.read_sql_query(query, self.conn) + except: + self.log.warning(f"Error running database query:\n{query}\n") + results = pd.DataFrame([]) return results @@ -126,7 +130,7 @@ def get_nearest_master(self, obs_date, cal_file_level, cal_type_pair, contentbit AND caltype = '{cal_type_pair[0].lower()}' AND object = '{cal_type_pair[1]}' ORDER BY startdate;""" - + df = self.query_to_pandas(query_template) if len(df) == 0: return [1, None] @@ -307,7 +311,6 @@ def get_nearest_master_file(self,obs_date,cal_file_level,contentbitmask,cal_type self.db_object = db_object self.infobits = infobits - def verify_checksum(self, filename, checksum): # See if file exists. isExist = os.path.exists(filename) From 7c2ade55aac89d4e920fb4ea35199f3883661591 Mon Sep 17 00:00:00 2001 From: BJ Fulton Date: Thu, 18 Jul 2024 15:18:02 -0700 Subject: [PATCH 73/84] update version --- kpfpipe/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kpfpipe/__init__.py b/kpfpipe/__init__.py index 8e0efc0c5..04f8ce31f 100644 --- a/kpfpipe/__init__.py +++ b/kpfpipe/__init__.py @@ -7,4 +7,4 @@ import kpfpipe.cli -__version__ = '2.6.0' +__version__ = '2.7.1' From 2ed87200f5ab062105c1aec617f99b68f39882a7 Mon Sep 17 00:00:00 2001 From: Russ Laher Date: Fri, 19 Jul 2024 16:29:59 -0700 Subject: [PATCH 74/84] New qc.check_all_qc_keywords method. --- .../master_flat/src/master_flat_framework.py | 17 +-- .../quality_control/src/quality_control.py | 111 +++++++++++++++++- 2 files changed, 118 insertions(+), 10 deletions(-) diff --git a/modules/master_flat/src/master_flat_framework.py b/modules/master_flat/src/master_flat_framework.py index d43136735..7d67ce3bf 100644 --- a/modules/master_flat/src/master_flat_framework.py +++ b/modules/master_flat/src/master_flat_framework.py @@ -12,6 +12,7 @@ import pandas as pd import database.modules.utils.kpf_db as db +import modules.quality_control.src.quality_control as qc from modules.Utils.kpf_fits import FitsHeaders from modules.Utils.frame_stacker import FrameStacker @@ -26,6 +27,7 @@ # Global read-only variables DEFAULT_CFG_PATH = 'modules/master_flat/configs/default.cfg' + class MasterFlatFramework(KPF0_Primitive): """ @@ -385,13 +387,14 @@ def _perform(self): path = all_flat_files[i] obj = KPF0.from_fits(path) - try: - obj_not_junk = obj.header['PRIMARY']['NOTJUNK'] - self.logger.debug('----========-------========------>path,obj_not_junk = {},{}'.format(path,obj_not_junk)) - if obj_not_junk != 1: - continue - except KeyError as err: - pass + + # Check QC keywords and skip image if it does not pass QC checking. + + skip = qc.check_all_qc_keywords(obj,path,self.logger) + self.logger.debug('After calling qc.check_all_qc_keywords: i,path,skip = {},{},{}'.format(i,path,skip)) + if skip: + continue + np_obj_ffi = np.array(obj[ffi]) np_obj_ffi_shape = np.shape(np_obj_ffi) diff --git a/modules/quality_control/src/quality_control.py b/modules/quality_control/src/quality_control.py index 79e207c75..220945865 100644 --- a/modules/quality_control/src/quality_control.py +++ b/modules/quality_control/src/quality_control.py @@ -33,11 +33,47 @@ class QCDefinitions. Other classes QCL0, QC2D, QCL1, and QCL2 contain methods t def what_am_i(): print('Software version:',iam + ' ' + version) +def compute_clip_corr(n_sigma): + + """ + Compute a correction factor to properly reinflate the variance after it is + naturally diminished via data-clipping. Employ a simple Monte Carlo method + and standard normal deviates to simulate the data-clipping and obtain the + correction factor. + """ + + var_trials = [] + for x in range(0,10): + a = np.random.normal(0.0, 1.0, 1000000) + med = np.median(a, axis=0) + p16 = np.percentile(a, 16, axis=0) + p84 = np.percentile(a, 84, axis=0) + sigma = 0.5 * (p84 - p16) + mdmsg = med - n_sigma * sigma + b = np.less(a,mdmsg) + mdpsg = med + n_sigma * sigma + c = np.greater(a,mdpsg) + mask = np.any([b,c],axis=0) + mx = ma.masked_array(a, mask) + var = ma.getdata(mx.var(axis=0)) + var_trials.append(var) + + np_var_trials = np.array(var_trials) + avg_var_trials = np.mean(np_var_trials) + std_var_trials = np.std(np_var_trials) + corr_fact = 1.0 / avg_var_trials + + return corr_fact + def avg_data_with_clipping(data_array,n_sigma = 3.0): + """ Statistics with outlier rejection (n-sigma data-trimming), ignoring NaNs, across all data array dimensions. """ + cf = compute_clip_corr(n_sigma) + sqrtcf = np.sqrt(cf) + a = np.array(data_array) med = np.nanmedian(a) @@ -52,11 +88,60 @@ def avg_data_with_clipping(data_array,n_sigma = 3.0): mask = b | c | d mx = ma.masked_array(a, mask) avg = ma.getdata(mx.mean()) - std = ma.getdata(mx.std()) + std = ma.getdata(mx.std()) * sqrtcf cnt = ma.getdata(mx.count()) return avg,std,cnt + +def check_all_qc_keywords(kpf_object,fname,logger=None): + + """ + Method to check all QC keywords in PRIMARY header of FITS object. + + Agnostic of data level; checks all QC keywords in PRIMARY header + that have assigned value for qc_definitions.fits_keyword_fail_value[dict_key] + (which are not None). Currently only integer fail_values are handled. + + Returns: + qc_fail - a boolean signifying that the QC failed (True) or not (False) + """ + + logger = logger if logger is not None else DummyLogger() + + qc_fail = False + + qc_definitions = QCDefinitions() + + dict_keys_list = qc_definitions.fits_keywords.keys() + + for dict_key in dict_keys_list: + + kw = qc_definitions.fits_keywords[dict_key] + + try: + fail_value = qc_definitions.fits_keyword_fail_value[dict_key] + except: + continue + + if fail_value is None: + continue + + try: + kw_value = kpf_object.header['PRIMARY'][kw] + + if kw_value == fail_value: + + logger.debug('--------->quality_control: check_all_qc_keywords: fname,kw,kw_value,fail_value = {},{},{}'.format(fname,kw,kw_value,fail_value)) + + qc_fail = True + return qc_fail + except KeyError as err: + continue + + return qc_fail + + # To-do: move this to a new class? def execute_all_QCs(kpf_object, data_level, logger=None): """ @@ -142,7 +227,8 @@ def execute_all_QCs(kpf_object, data_level, logger=None): return kpf_object -# To do: finish this method +# See check_all_qc_keywords method above, which is data-level agnostic. +# To do: finish this method or just use check_all_qc_keywords method above???? # To-do: move this a new class? def check_all_QC_keywords_present(kpf_object, logger=None): """ @@ -220,6 +306,7 @@ def __init__(self, logger=None): self.fits_keywords = {} self.fits_comments = {} self.db_columns = {} + self.fits_keyword_fail_value = {} # Define QC metrics name0 = 'jarque_bera_test_red_amp1' @@ -232,6 +319,7 @@ def __init__(self, logger=None): self.fits_keywords[name0] = 'JBTRED1' self.fits_comments[name0] = 'QC: J-B test for RED AMP-1 detector' self.db_columns[name0] = None + self.fits_keyword_fail_value[name0] = None name1 = 'not_junk' self.names.append(name1) @@ -243,6 +331,7 @@ def __init__(self, logger=None): self.fits_keywords[name1] = 'NOTJUNK' self.fits_comments[name1] = 'QC: Not in list of junk files' self.db_columns[name1] = None + self.fits_keyword_fail_value[name1] = 0 name2 = 'monotonic_wavelength_solution' self.names.append(name2) @@ -254,6 +343,7 @@ def __init__(self, logger=None): self.fits_keywords[name2] = 'MONOTWLS' self.fits_comments[name2] = 'QC: Monotonic wavelength-solution' self.db_columns[name2] = None + self.fits_keyword_fail_value[name2] = 0 name3 = 'L0_data_products' self.names.append(name3) @@ -265,6 +355,7 @@ def __init__(self, logger=None): self.fits_keywords[name3] = 'DATAPRL0' self.fits_comments[name3] = 'QC: L0 data present' self.db_columns[name3] = None + self.fits_keyword_fail_value[name3] = 0 name4 = 'L0_header_keywords_present' self.names.append(name4) @@ -276,6 +367,7 @@ def __init__(self, logger=None): self.fits_keywords[name4] = 'KWRDPRL0' self.fits_comments[name4] = 'QC: L0 keywords present' self.db_columns[name4] = None + self.fits_keyword_fail_value[name4] = 0 name5 = 'L0_datetime' self.names.append(name5) @@ -287,6 +379,7 @@ def __init__(self, logger=None): self.fits_keywords[name5] = 'TIMCHKL0' self.fits_comments[name5] = 'QC: L0 times consistent' self.db_columns[name5] = None + self.fits_keyword_fail_value[name5] = 0 name5b = 'L2_datetime' self.names.append(name5b) @@ -298,6 +391,7 @@ def __init__(self, logger=None): self.fits_keywords[name5b] = 'TIMCHKL2' self.fits_comments[name5b] = 'QC: L2 times consistent' self.db_columns[name5b] = None + self.fits_keyword_fail_value[name5b] = 0 name6 = 'exposure_meter_not_saturated' self.names.append(name6) @@ -309,6 +403,7 @@ def __init__(self, logger=None): self.fits_keywords[name6] = 'EMSAT' self.fits_comments[name6] = 'QC: EM not saturated' self.db_columns[name6] = None + self.fits_keyword_fail_value[name6] = 0 name7 = 'exposure_meter_flux_not_negative' self.names.append(name7) @@ -320,6 +415,7 @@ def __init__(self, logger=None): self.fits_keywords[name7] = 'EMNEG' self.fits_comments[name7] = 'QC: EM not negative flux' self.db_columns[name7] = None + self.fits_keyword_fail_value[name7] = 0 name8 = 'D2_lfc_flux' self.names.append(name8) @@ -331,6 +427,7 @@ def __init__(self, logger=None): self.fits_keywords[name8] = 'LFC2DFOK' self.fits_comments[name8] = 'QC: LFC flux meets threshold of 4000 counts' self.db_columns[name8] = None + self.fits_keyword_fail_value[name8] = 0 name9 = 'data_2D_bias_low_flux' self.names.append(name9) @@ -342,6 +439,7 @@ def __init__(self, logger=None): self.fits_keywords[name9] = 'LOWBIAS' self.fits_comments[name9] = 'QC: 2D bias low flux check' self.db_columns[name9] = None + self.fits_keyword_fail_value[name9] = 0 name10 = 'data_2D_dark_low_flux' self.names.append(name10) @@ -353,6 +451,7 @@ def __init__(self, logger=None): self.fits_keywords[name10] = 'LOWDARK' self.fits_comments[name10] = 'QC: 2D dark low flux check' self.db_columns[name10] = None + self.fits_keyword_fail_value[name10] = 0 name11 = 'data_L1_red_green' self.names.append(name11) @@ -364,6 +463,7 @@ def __init__(self, logger=None): self.fits_keywords[name11] = 'DATAPRL1' self.fits_comments[name11] = 'QC: L1 red and green data present check' self.db_columns[name11] = None + self.fits_keyword_fail_value[name11] = 0 name12 = 'data_L1_CaHK' self.names.append(name12) @@ -375,6 +475,7 @@ def __init__(self, logger=None): self.fits_keywords[name12] = 'CaHKPRL1' self.fits_comments[name12] = 'QC: L1 CaHK present check' self.db_columns[name12] = None + self.fits_keyword_fail_value[name12] = 0 name13 = 'data_L2' self.names.append(name13) @@ -386,7 +487,8 @@ def __init__(self, logger=None): self.fits_keywords[name13] = 'DATAPRL2' self.fits_comments[name13] = 'QC: L2 data present check' self.db_columns[name13] = None - + self.fits_keyword_fail_value[name13] = 0 + name14 = 'data_2D_CaHK' self.names.append(name14) self.kpf_data_levels[name14] = ['2D'] @@ -397,6 +499,7 @@ def __init__(self, logger=None): self.fits_keywords[name14] = 'CaHKPR2D' self.fits_comments[name14] = 'QC: 2D CaHK data present check' self.db_columns[name14] = None + self.fits_keyword_fail_value[name14] = 0 name15 = 'data_2D_red_green' self.names.append(name15) @@ -408,6 +511,7 @@ def __init__(self, logger=None): self.fits_keywords[name15] = 'DATAPR2D' self.fits_comments[name15] = 'QC: 2D red and green data present check' self.db_columns[name15] = None + self.fits_keyword_fail_value[name15] = 0 name16 = 'add_kpfera' self.names.append(name16) @@ -419,6 +523,7 @@ def __init__(self, logger=None): self.fits_keywords[name16] = 'KPFERA' self.fits_comments[name16] = 'Current era of KPF observations' self.db_columns[name16] = None + self.fits_keyword_fail_value[name16] = 0 # Integrity checks if len(self.names) != len(self.kpf_data_levels): From 8dcc349cdb9036621201f431f313b075751899f4 Mon Sep 17 00:00:00 2001 From: Russ Laher Date: Fri, 19 Jul 2024 16:30:11 -0700 Subject: [PATCH 75/84] Removed code to skip flat correction if IMTYPE=flat (actually it was meant to be flatlamp, so it wasn't doing anything anyway). --- modules/image_processing/src/alg.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/modules/image_processing/src/alg.py b/modules/image_processing/src/alg.py index 04582b156..3036629a0 100644 --- a/modules/image_processing/src/alg.py +++ b/modules/image_processing/src/alg.py @@ -116,8 +116,7 @@ def flat_division(self, flat_frame): header['FLATDIR'] = flat_frame.dirname if header['IMTYPE'].lower() == 'bias' or \ - header['IMTYPE'].lower() == 'dark' or \ - header['IMTYPE'].lower() == 'flat': + header['IMTYPE'].lower() == 'dark': self.logger.info("Image is {}, skipping flat correction.".format(header['IMTYPE'])) header['FLATDONE'] = 0 return From aec04d64f1795ba3b5963fdd2748716720f65b37 Mon Sep 17 00:00:00 2001 From: Russ Laher Date: Fri, 19 Jul 2024 16:30:18 -0700 Subject: [PATCH 76/84] Added code to remove AMP extensions before outputting FITS file --- modules/var_exts/src/var_exts_framework.py | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/modules/var_exts/src/var_exts_framework.py b/modules/var_exts/src/var_exts_framework.py index 63ad5c037..253e7a088 100644 --- a/modules/var_exts/src/var_exts_framework.py +++ b/modules/var_exts/src/var_exts_framework.py @@ -406,6 +406,15 @@ def write_var_exts(self,greenvarimg,redvarimg): fits_obj[ext] = img.astype(np.float32) fits_obj.header[ext]['BUNIT'] = ('electrons','Units of variance') + # Remove any AMP extensions (which are automatically re-added as empty extensions for L0 FITS objects). + + del_ext_list = ['GREEN_AMP1','GREEN_AMP2','GREEN_AMP3','GREEN_AMP4','RED_AMP1','RED_AMP2','RED_AMP3','RED_AMP4'] + for ext in del_ext_list: + try: + fits_obj.del_extension(ext) + except: + pass + fits_obj.to_fits(fits_filename) return From 1eb7d6737f742247eb78894776ad7d1eddfdaf41 Mon Sep 17 00:00:00 2001 From: Russ Laher Date: Fri, 19 Jul 2024 16:30:25 -0700 Subject: [PATCH 77/84] Corrected recipe to do QC for L0 before overscan subtraction and QC for 2D afterwards. --- recipes/kpf_masters_drp.recipe | 46 ++++++++++++++++++++++++++++++++-- 1 file changed, 44 insertions(+), 2 deletions(-) diff --git a/recipes/kpf_masters_drp.recipe b/recipes/kpf_masters_drp.recipe index 2c6522aca..5fdf731ac 100644 --- a/recipes/kpf_masters_drp.recipe +++ b/recipes/kpf_masters_drp.recipe @@ -85,10 +85,44 @@ for raw_file_path in file_list: file_exists = False if overwrite or not output_file_exists: + + # Read in FITS data. + l0 = kpf0_from_fits(raw_file_path, data_type) + + #--------- + + # Diagnostics & Quality Control - L0 level + + kpf_object = l0 + data_level_str = 'L0' + + # Cannot call subrecipes in a loop (does not work correctly). + #invoke_subrecipe("./recipes/quality_control.subrecipe") + #invoke_subrecipe("./recipes/diagnostics.subrecipe") + + qc_output_list = QualityControlFramework('KPF', data_level_str, kpf_object, 0) + exit_code = qc_output_list[0] + new_kpf_object = qc_output_list[1] + # exit_code = 1 is good. + if exit_code == 1: + kpf_object = new_kpf_object + + diagnostics_output_list = DiagnosticsFramework(data_level_str, kpf_object, 'all') + exit_code = diagnostics_output_list[0] + new_kpf_object = diagnostics_output_list[1] + # exit_code = 1 is good. + if exit_code == 1: + kpf_object = new_kpf_object + l0 = kpf_object + + #--------- + + # Overscan subtraction, first red, then green (the ordering should not matter, except + # how the FITS object is modified and passed on to subsequent processes in the code below). + ref_output_red = OrientationReference(channel_orientation_ref_path_red, data_type) # compute red-chip ffi - l0 = kpf0_from_fits(raw_file_path, data_type) red_ffi = OverscanSubtraction(l0, overscan_method, order, @@ -118,9 +152,15 @@ for raw_file_path in file_list: channel_datasec_nrows_green, n_sigma) + + #--------- + + # Diagnostics & Quality Control - 2D level + kpf_object = L0_with_ffi - data_level_str = 'L0' + data_level_str = '2D' + # Cannot call subrecipes in a loop (does not work correctly). #invoke_subrecipe("./recipes/quality_control.subrecipe") #invoke_subrecipe("./recipes/diagnostics.subrecipe") @@ -140,6 +180,8 @@ for raw_file_path in file_list: L0_with_ffi = kpf_object + #--------- + oscan_complete = to_fits(L0_with_ffi, output_file_name) ######################## From 4adb8e26037b20a3242ec879c126d56605143210 Mon Sep 17 00:00:00 2001 From: Russ Laher Date: Fri, 19 Jul 2024 16:30:34 -0700 Subject: [PATCH 78/84] Corrected code for bad pixel masks. --- recipes/watchfor_kpf_l0.recipe | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/recipes/watchfor_kpf_l0.recipe b/recipes/watchfor_kpf_l0.recipe index 1f1431ac8..ea3a2a640 100644 --- a/recipes/watchfor_kpf_l0.recipe +++ b/recipes/watchfor_kpf_l0.recipe @@ -110,6 +110,7 @@ for raw_file_path in file_list: masterbias_path = cals['bias'] masterdark_path = cals['dark'] masterflat_path = cals['flat'] + # Quality Control & Diagnostics - L0 level data_level_str = 'L0' kpf_object = l0 @@ -154,21 +155,21 @@ for raw_file_path in file_list: flat_applied = ImageProcessing(dark_subbed, masterflat_path, lev0_ffi_exts, data_type, quicklook) - # why isn't twod saved? It it an extension? Does it have an extension added? - twod = flat_applied + # Apply bad-pixel mask(s). + bpm_applied = flat_applied for bpm in bad_pixel_masks: - pixels_masked = ImageProcessing(twod, bpm, lev0_ffi_exts, data_type, quicklook) - twod = pixels_masked + pixels_masked = ImageProcessing(bpm_applied, bpm, lev0_ffi_exts, data_type, quicklook) + bpm_applied = pixels_masked # Diagnostics & Quality Control - 2D level - kpf_object = flat_applied + kpf_object = bpm_applied data_level_str = '2D' invoke_subrecipe("./recipes/diagnostics.subrecipe") invoke_subrecipe("./recipes/quality_control.subrecipe") - flat_applied = kpf_object - + bpm_applied = kpf_object + # Write file - recipe_complete = to_fits(flat_applied, output_file_name) + recipe_complete = to_fits(bpm_applied, output_file_name) # Query database for QC information and update header of 2D FITS file. rid = quality_control_rid From ca1e5c5297991de8ad9897a3aaf0ae3c91af6de3 Mon Sep 17 00:00:00 2001 From: Russ Laher Date: Sat, 20 Jul 2024 08:41:27 -0700 Subject: [PATCH 79/84] Modified for L1 part of masters pipeline to work properly for 20240718 data, in which there were no Flatlamp exposures. --- recipes/kpf_drp.recipe | 19 ++++++++++++++++++- 1 file changed, 18 insertions(+), 1 deletion(-) diff --git a/recipes/kpf_drp.recipe b/recipes/kpf_drp.recipe index 1cc2197ea..9b5597509 100644 --- a/recipes/kpf_drp.recipe +++ b/recipes/kpf_drp.recipe @@ -308,7 +308,24 @@ if "*" in lev0_flat_pattern: ll0 = output_dir + date_dir + lev0_flat_pattern else: ll0 = lev0_flat_pattern -input_flat_file = find_files(ll0)[0] + + + + + +# The following line generates IndexError exception if master flat is not found, +# so replace it with call to CalibrationLookup. +#input_flat_file = find_files(ll0)[0] + +# CalibrationLookup input datetime is one minute past the midnight boundary to ensure it is well past the selection threshold. +dt_string = date_dir[0] + date_dir[1] + date_dir[2] + date_dir[3] +\ + "-" + date_dir[4] + date_dir[5] + "-" + date_dir[6] + date_dir[7] + "T00:01:00.000000" +cals = CalibrationLookup(dt_string) +input_flat_file = cals['flat'] + + + + _, short_flat_file = split(input_flat_file) flat_stem, flat_ext = splitext(short_flat_file) From 9b5f4c960ca3951e89f6775bade3ff5846e48ab7 Mon Sep 17 00:00:00 2001 From: Russ Laher Date: Sat, 20 Jul 2024 20:25:48 -0700 Subject: [PATCH 80/84] However, if the master flat for the current night exists, since it is not registered in the database yet when the L1 part of the master pipeline is run, we must first construct the filename and test whether it exists first. --- recipes/kpf_drp.recipe | 19 ++++++++++++++----- 1 file changed, 14 insertions(+), 5 deletions(-) diff --git a/recipes/kpf_drp.recipe b/recipes/kpf_drp.recipe index 9b5597509..359542d1a 100644 --- a/recipes/kpf_drp.recipe +++ b/recipes/kpf_drp.recipe @@ -314,14 +314,23 @@ else: # The following line generates IndexError exception if master flat is not found, -# so replace it with call to CalibrationLookup. +# so replace it with call to CalibrationLookup. However, if the master flat for +# the current night exists, since it is not registered in the database yet when the +# L1 part of the master pipeline is run, we must first construct the filename and +# test whether it exists first. #input_flat_file = find_files(ll0)[0] -# CalibrationLookup input datetime is one minute past the midnight boundary to ensure it is well past the selection threshold. -dt_string = date_dir[0] + date_dir[1] + date_dir[2] + date_dir[3] +\ +flat_file_date_dir = context.date_dir +input_flat_file = output_dir + flat_file_date_dir + "/kpf_" + flat_file_date_dir + "_master_flat.fits" + +if not exists(input_flat_file): + + # CalibrationLookup input datetime is one minute past the midnight boundary to ensure it is well past the selection threshold. + dt_string = date_dir[0] + date_dir[1] + date_dir[2] + date_dir[3] +\ "-" + date_dir[4] + date_dir[5] + "-" + date_dir[6] + date_dir[7] + "T00:01:00.000000" -cals = CalibrationLookup(dt_string) -input_flat_file = cals['flat'] + cals = CalibrationLookup(dt_string) + input_flat_file = cals['flat'] + From c4d860ca0e0c37e8966f0c4fdeb02cf7672d271d Mon Sep 17 00:00:00 2001 From: BJ Fulton Date: Mon, 22 Jul 2024 08:13:28 -0700 Subject: [PATCH 81/84] case error --- modules/calibration_lookup/src/alg.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/calibration_lookup/src/alg.py b/modules/calibration_lookup/src/alg.py index 6fbe1307d..a314bf1de 100644 --- a/modules/calibration_lookup/src/alg.py +++ b/modules/calibration_lookup/src/alg.py @@ -60,7 +60,7 @@ def lookup(self): if db_results[0] == 0: output_cals[cal_type[0]] = db_results[1] else: - output_cals[cal_type[0]] = self.defaults[cal_type[0]] + output_cals[cal_type[0]] = self.defaults[cal_type[0].lower()] elif lookup == 'wls': for cal_type in self.wls_cal_types: wls_results = self.db.get_bracketing_wls(self.datetime, cal_type[1], max_cal_delta_time=self.max_age) From bed30a30cd8e83f29cc37ba20bda4ff3f5067a4a Mon Sep 17 00:00:00 2001 From: BJ Fulton Date: Tue, 23 Jul 2024 11:30:38 -0700 Subject: [PATCH 82/84] case mismatch --- modules/calibration_lookup/src/alg.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/calibration_lookup/src/alg.py b/modules/calibration_lookup/src/alg.py index a314bf1de..95474fe0b 100644 --- a/modules/calibration_lookup/src/alg.py +++ b/modules/calibration_lookup/src/alg.py @@ -60,7 +60,7 @@ def lookup(self): if db_results[0] == 0: output_cals[cal_type[0]] = db_results[1] else: - output_cals[cal_type[0]] = self.defaults[cal_type[0].lower()] + output_cals[cal_type[0].lower()] = self.defaults[cal_type[0].lower()] elif lookup == 'wls': for cal_type in self.wls_cal_types: wls_results = self.db.get_bracketing_wls(self.datetime, cal_type[1], max_cal_delta_time=self.max_age) From 7112209d93a9f72ad39c7a04692e66d5a62f1c5e Mon Sep 17 00:00:00 2001 From: Andrew Howard Date: Tue, 23 Jul 2024 11:55:30 -0700 Subject: [PATCH 83/84] added master_types dictionary --- .../KPF_Data_Tutorial_Quality_Control.ipynb | 115 ++++++++++++++---- .../quality_control/src/quality_control.py | 37 +++++- 2 files changed, 124 insertions(+), 28 deletions(-) diff --git a/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb b/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb index 50ca7eca0..c3b6e5f05 100644 --- a/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb +++ b/docs/source/tutorials/KPF_Data_Tutorial_Quality_Control.ipynb @@ -35,8 +35,11 @@ " \u001b[1mDescription: \u001b[0mFile is not in list of junk files.\n", " \u001b[1mDate levels: \u001b[0m['L0', '2D', 'L1', 'L2']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m['all']\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mNOTJUNK\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: Not in list of junk files\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -44,8 +47,11 @@ " \u001b[1mDescription: \u001b[0mExpected L0 data products present with non-zero array sizes.\n", " \u001b[1mDate levels: \u001b[0m['L0']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m['all']\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mDATAPRL0\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: L0 data present\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -53,8 +59,11 @@ " \u001b[1mDescription: \u001b[0mExpected L0 header keywords present.\n", " \u001b[1mDate levels: \u001b[0m['L0']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m['all']\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mKWRDPRL0\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: L0 keywords present\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -62,8 +71,11 @@ " \u001b[1mDescription: \u001b[0mTiming consistency in L0 header keywords and ExpMeter table.\n", " \u001b[1mDate levels: \u001b[0m['L0']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m['all']\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mTIMCHKL0\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: L0 times consistent\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -71,8 +83,11 @@ " \u001b[1mDescription: \u001b[0m2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.\n", " \u001b[1mDate levels: \u001b[0m['L0']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m['ExpMeter']\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m[]\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mEMSAT\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: EM not saturated\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -80,8 +95,11 @@ " \u001b[1mDescription: \u001b[0mNegative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.\n", " \u001b[1mDate levels: \u001b[0m['L0']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m['ExpMeter']\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m[]\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mEMNEG\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: EM not negative flux\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -89,8 +107,11 @@ " \u001b[1mDescription: \u001b[0mNot a QC test; used to add the KPFERA keyword to header.\n", " \u001b[1mDate levels: \u001b[0m['L0', '2D', 'L1', 'L2']\n", " \u001b[1mDate type: \u001b[0mfloat\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m[]\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mKPFERA\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m-1\n", " \u001b[1mComment: \u001b[0mCurrent era of KPF observations\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -99,8 +120,11 @@ " \u001b[1mDescription: \u001b[0mFile is not in list of junk files.\n", " \u001b[1mDate levels: \u001b[0m['L0', '2D', 'L1', 'L2']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m['all']\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mNOTJUNK\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: Not in list of junk files\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -108,8 +132,11 @@ " \u001b[1mDescription: \u001b[0mLFC frame that goes into a master has sufficient flux\n", " \u001b[1mDate levels: \u001b[0m['2D']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['LFC']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['LFC']\n", + " \u001b[1mMaster types (applied to): \u001b[0m['LFC']\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mLFC2DFOK\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: LFC flux meets threshold of 4000 counts\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -117,8 +144,11 @@ " \u001b[1mDescription: \u001b[0mFlux is low in bias exposure.\n", " \u001b[1mDate levels: \u001b[0m['2D']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['Bias']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['Bias']\n", + " \u001b[1mMaster types (applied to): \u001b[0m['Bias']\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mLOWBIAS\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: 2D bias low flux check\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -126,8 +156,11 @@ " \u001b[1mDescription: \u001b[0mFlux is low in dark exposure.\n", " \u001b[1mDate levels: \u001b[0m['2D']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['Dark']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['Dark']\n", + " \u001b[1mMaster types (applied to): \u001b[0m['Dark']\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mLOWDARK\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: 2D dark low flux check\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -135,8 +168,11 @@ " \u001b[1mDescription: \u001b[0mCaHK CCD data present with expected array sizes.\n", " \u001b[1mDate levels: \u001b[0m['2D']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m['HK']\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m[]\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mCaHKPR2D\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: 2D CaHK data present check\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -144,8 +180,11 @@ " \u001b[1mDescription: \u001b[0mRed/Green CCD data present with expected array sizes.\n", " \u001b[1mDate levels: \u001b[0m['2D']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m['all']\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mDATAPR2D\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: 2D red and green data present check\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -153,8 +192,11 @@ " \u001b[1mDescription: \u001b[0mNot a QC test; used to add the KPFERA keyword to header.\n", " \u001b[1mDate levels: \u001b[0m['L0', '2D', 'L1', 'L2']\n", " \u001b[1mDate type: \u001b[0mfloat\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m[]\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mKPFERA\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m-1\n", " \u001b[1mComment: \u001b[0mCurrent era of KPF observations\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -163,8 +205,11 @@ " \u001b[1mDescription: \u001b[0mFile is not in list of junk files.\n", " \u001b[1mDate levels: \u001b[0m['L0', '2D', 'L1', 'L2']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m['all']\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mNOTJUNK\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: Not in list of junk files\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -172,8 +217,11 @@ " \u001b[1mDescription: \u001b[0mWavelength solution is monotonic.\n", " \u001b[1mDate levels: \u001b[0m['L1']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m[]\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mMONOTWLS\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: Monotonic wavelength-solution\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -181,8 +229,11 @@ " \u001b[1mDescription: \u001b[0mRed/Green data present in L1 with expected shapes.\n", " \u001b[1mDate levels: \u001b[0m['L1']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m['all']\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mDATAPRL1\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: L1 red and green data present check\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -190,8 +241,11 @@ " \u001b[1mDescription: \u001b[0mCaHK data present in L1 with expected shape.\n", " \u001b[1mDate levels: \u001b[0m['L1']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m['HK']\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m[]\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mCaHKPRL1\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: L1 CaHK present check\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -199,8 +253,11 @@ " \u001b[1mDescription: \u001b[0mNot a QC test; used to add the KPFERA keyword to header.\n", " \u001b[1mDate levels: \u001b[0m['L0', '2D', 'L1', 'L2']\n", " \u001b[1mDate type: \u001b[0mfloat\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m[]\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mKPFERA\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m-1\n", " \u001b[1mComment: \u001b[0mCurrent era of KPF observations\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -209,8 +266,11 @@ " \u001b[1mDescription: \u001b[0mFile is not in list of junk files.\n", " \u001b[1mDate levels: \u001b[0m['L0', '2D', 'L1', 'L2']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m['all']\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mNOTJUNK\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: Not in list of junk files\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -218,8 +278,11 @@ " \u001b[1mDescription: \u001b[0mTiming consistency in L2 files.\n", " \u001b[1mDate levels: \u001b[0m['L2']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m[]\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mTIMCHKL2\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: L2 times consistent\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -227,8 +290,11 @@ " \u001b[1mDescription: \u001b[0mAll data present in L2.\n", " \u001b[1mDate levels: \u001b[0m['L2']\n", " \u001b[1mDate type: \u001b[0mint\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m[]\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mDATAPRL2\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m0\n", " \u001b[1mComment: \u001b[0mQC: L2 data present check\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n", @@ -236,8 +302,11 @@ " \u001b[1mDescription: \u001b[0mNot a QC test; used to add the KPFERA keyword to header.\n", " \u001b[1mDate levels: \u001b[0m['L0', '2D', 'L1', 'L2']\n", " \u001b[1mDate type: \u001b[0mfloat\n", - " \u001b[1mSpectrum type: \u001b[0m['all']\n", + " \u001b[1mRequired data products: \u001b[0m[]\n", + " \u001b[1mSpectrum types (applied to): \u001b[0m['all']\n", + " \u001b[1mMaster types (applied to): \u001b[0m[]\n", " \u001b[1mKeyword: \u001b[0m\u001b[1m\u001b[34mKPFERA\u001b[0m\n", + " \u001b[1mKeyword fail value: \u001b[0m-1\n", " \u001b[1mComment: \u001b[0mCurrent era of KPF observations\n", " \u001b[1mDatabase column: \u001b[0mNone\n", "\n" diff --git a/modules/quality_control/src/quality_control.py b/modules/quality_control/src/quality_control.py index 220945865..41e7722d8 100644 --- a/modules/quality_control/src/quality_control.py +++ b/modules/quality_control/src/quality_control.py @@ -281,9 +281,11 @@ class QCDefinitions: Possible values in the list: 'L0', '2D', 'L1', 'L2' data_types (dictionary of strings): Each entry specifies the Python data type of the metric. Only string, int, float are allowed. Use 0/1 for boolean. - spectrum_types (dictionary of arrays of strings ): Each entry specifies the types of spectra that the metric will be applied to. + spectrum_types (dictionary of arrays of strings): Each entry specifies the types of spectra that the metric will be applied to. Possible strings in array: 'all', 'Bias', 'Dark', 'Flat', 'Wide Flat', 'LFC', 'Etalon', 'ThAr', 'UNe', 'Sun', 'Star', - required_data_products (dictionary of arrays of strings ): specifies if data products are needed to perform check + master_types (dictionary of arrays of strings): Each entry specifies the types of masters where the QC check is relevant. If the QC fails for an exposure, it is not added to the master stack. + Possible strings in array: 'all', 'Bias', 'Dark', 'Flat', 'Wide Flat', 'LFC', 'Etalon', 'ThAr', 'UNe' + required_data_products (dictionary of arrays of strings): specifies if data products are needed to perform check if = [], then no required data products; other possible values are from get_data_products_L0, etc. fits_keywords (dictionary of strings): Each entry specifies the FITS-header keyword for the metric. Must be 8 characters or less, following the FITS standard. @@ -302,6 +304,7 @@ def __init__(self, logger=None): self.kpf_data_levels = {} self.data_types = {} self.spectrum_types = {} + self.master_types = {} # if = [], then the QC test is not relevant for the construction of any masters self.required_data_products = {} # if = [], then no required data products; other possible values: Green, Red, CaHK, ExpMeter, Guider, Telemetry, Config, Receipt, Pyrheliometer self.fits_keywords = {} self.fits_comments = {} @@ -315,6 +318,7 @@ def __init__(self, logger=None): self.kpf_data_levels[name0] = ['L3'] # bogus value L3 to avoid executing self.data_types[name0] = 'float' self.spectrum_types[name0] = ['all', ] + self.master_types[name0] = [] self.required_data_products[name0] = [] # no required data products self.fits_keywords[name0] = 'JBTRED1' self.fits_comments[name0] = 'QC: J-B test for RED AMP-1 detector' @@ -327,6 +331,7 @@ def __init__(self, logger=None): self.kpf_data_levels[name1] = ['L0', '2D', 'L1', 'L2'] self.data_types[name1] = 'int' self.spectrum_types[name1] = ['all', ] # Need trailing comma to make list hashable + self.master_types[name1] = ['all', ] self.required_data_products[name1] = [] # no required data products self.fits_keywords[name1] = 'NOTJUNK' self.fits_comments[name1] = 'QC: Not in list of junk files' @@ -339,6 +344,7 @@ def __init__(self, logger=None): self.kpf_data_levels[name2] = ['L1'] self.data_types[name2] = 'int' self.spectrum_types[name2] = ['all', ] + self.master_types[name2] = [] self.required_data_products[name2] = [] # no required data products self.fits_keywords[name2] = 'MONOTWLS' self.fits_comments[name2] = 'QC: Monotonic wavelength-solution' @@ -351,6 +357,7 @@ def __init__(self, logger=None): self.descriptions[name3] = 'Expected L0 data products present with non-zero array sizes.' self.data_types[name3] = 'int' self.spectrum_types[name3] = ['all', ] + self.master_types[name3] = ['all', ] self.required_data_products[name3] = [] # no required data products self.fits_keywords[name3] = 'DATAPRL0' self.fits_comments[name3] = 'QC: L0 data present' @@ -363,6 +370,7 @@ def __init__(self, logger=None): self.descriptions[name4] = 'Expected L0 header keywords present.' self.data_types[name4] = 'int' self.spectrum_types[name4] = ['all', ] + self.master_types[name4] = ['all', ] self.required_data_products[name4] = [] # no required data products self.fits_keywords[name4] = 'KWRDPRL0' self.fits_comments[name4] = 'QC: L0 keywords present' @@ -375,6 +383,7 @@ def __init__(self, logger=None): self.descriptions[name5] = 'Timing consistency in L0 header keywords and ExpMeter table.' self.data_types[name5] = 'int' self.spectrum_types[name5] = ['all', ] + self.master_types[name5] = ['all', ] self.required_data_products[name5] = [] # no required data products self.fits_keywords[name5] = 'TIMCHKL0' self.fits_comments[name5] = 'QC: L0 times consistent' @@ -387,6 +396,7 @@ def __init__(self, logger=None): self.descriptions[name5b] = 'Timing consistency in L2 files.' self.data_types[name5b] = 'int' self.spectrum_types[name5b] = ['all', ] + self.master_types[name5b] = [] self.required_data_products[name5b] = [] # no required data products self.fits_keywords[name5b] = 'TIMCHKL2' self.fits_comments[name5b] = 'QC: L2 times consistent' @@ -399,6 +409,7 @@ def __init__(self, logger=None): self.descriptions[name6] = '2+ reduced EM pixels within 90% of saturation in EM-SCI or EM-SKY.' self.data_types[name6] = 'int' self.spectrum_types[name6] = ['all', ] + self.master_types[name6] = [] self.required_data_products[name6] = ['ExpMeter'] self.fits_keywords[name6] = 'EMSAT' self.fits_comments[name6] = 'QC: EM not saturated' @@ -411,6 +422,7 @@ def __init__(self, logger=None): self.descriptions[name7] = 'Negative flux in the EM-SCI and EM-SKY by looking for 20 consecuitive pixels in the summed spectra with negative flux.' self.data_types[name7] = 'int' self.spectrum_types[name7] = ['all', ] + self.master_types[name7] = [] self.required_data_products[name7] = ['ExpMeter'] self.fits_keywords[name7] = 'EMNEG' self.fits_comments[name7] = 'QC: EM not negative flux' @@ -423,6 +435,7 @@ def __init__(self, logger=None): self.descriptions[name8] = 'LFC frame that goes into a master has sufficient flux' self.data_types[name8] = 'int' self.spectrum_types[name8] = ['LFC', ] + self.master_types[name8] = ['LFC', ] self.required_data_products[name8] = [] # no required data products self.fits_keywords[name8] = 'LFC2DFOK' self.fits_comments[name8] = 'QC: LFC flux meets threshold of 4000 counts' @@ -435,6 +448,7 @@ def __init__(self, logger=None): self.descriptions[name9] = 'Flux is low in bias exposure.' self.data_types[name9] = 'int' self.spectrum_types[name9] = ['Bias', ] + self.master_types[name9] = ['Bias', ] self.required_data_products[name9] = [] # no required data products self.fits_keywords[name9] = 'LOWBIAS' self.fits_comments[name9] = 'QC: 2D bias low flux check' @@ -447,6 +461,7 @@ def __init__(self, logger=None): self.descriptions[name10] = 'Flux is low in dark exposure.' self.data_types[name10] = 'int' self.spectrum_types[name10] = ['Dark', ] + self.master_types[name10] = ['Dark', ] self.required_data_products[name10] = [] # no required data products self.fits_keywords[name10] = 'LOWDARK' self.fits_comments[name10] = 'QC: 2D dark low flux check' @@ -458,6 +473,7 @@ def __init__(self, logger=None): self.kpf_data_levels[name11] = ['L1'] self.data_types[name11] = 'int' self.spectrum_types[name11] = ['all', ] + self.master_types[name11] = ['all', ] self.required_data_products[name11] = [] # no required data products self.descriptions[name11] = 'Red/Green data present in L1 with expected shapes.' self.fits_keywords[name11] = 'DATAPRL1' @@ -471,6 +487,7 @@ def __init__(self, logger=None): self.descriptions[name12] = 'CaHK data present in L1 with expected shape.' self.data_types[name12] = 'int' self.spectrum_types[name12] = ['all', ] + self.master_types[name12] = [] self.required_data_products[name12] = ['HK'] # no required data products self.fits_keywords[name12] = 'CaHKPRL1' self.fits_comments[name12] = 'QC: L1 CaHK present check' @@ -483,6 +500,7 @@ def __init__(self, logger=None): self.descriptions[name13] = 'All data present in L2.' self.data_types[name13] = 'int' self.spectrum_types[name13] = ['all', ] + self.master_types[name13] = [] self.required_data_products[name13] = [] # no required data products self.fits_keywords[name13] = 'DATAPRL2' self.fits_comments[name13] = 'QC: L2 data present check' @@ -495,6 +513,7 @@ def __init__(self, logger=None): self.descriptions[name14] = 'CaHK CCD data present with expected array sizes.' self.data_types[name14] = 'int' self.spectrum_types[name14] = ['all', ] + self.master_types[name14] = [] self.required_data_products[name14] = ['HK'] # no required data products self.fits_keywords[name14] = 'CaHKPR2D' self.fits_comments[name14] = 'QC: 2D CaHK data present check' @@ -507,6 +526,7 @@ def __init__(self, logger=None): self.descriptions[name15] = 'Red/Green CCD data present with expected array sizes.' self.data_types[name15] = 'int' self.spectrum_types[name15] = ['all', ] + self.master_types[name15] = ['all', ] self.required_data_products[name15] = [] # no required data products self.fits_keywords[name15] = 'DATAPR2D' self.fits_comments[name15] = 'QC: 2D red and green data present check' @@ -519,11 +539,12 @@ def __init__(self, logger=None): self.descriptions[name16] = 'Not a QC test; used to add the KPFERA keyword to header.' self.data_types[name16] = 'float' self.spectrum_types[name16] = ['all', ] + self.master_types[name16] = [] self.required_data_products[name16] = [] # no required data products self.fits_keywords[name16] = 'KPFERA' self.fits_comments[name16] = 'Current era of KPF observations' self.db_columns[name16] = None - self.fits_keyword_fail_value[name16] = 0 + self.fits_keyword_fail_value[name16] = -1 # Integrity checks if len(self.names) != len(self.kpf_data_levels): @@ -568,8 +589,11 @@ def list_qc_metrics(self): kpf_data_levels = self.kpf_data_levels[qc_name] data_type = self.data_types[qc_name] - spectrum_type = self.spectrum_types[qc_name] + spectrum_types = self.spectrum_types[qc_name] + master_types = self.master_types[qc_name] + required_data_products = self.required_data_products[qc_name] keyword = self.fits_keywords[qc_name] + keyword_fail_value = self.fits_keyword_fail_value[qc_name] comment = self.fits_comments[qc_name] db_column = self.db_columns[qc_name] description = self.descriptions[qc_name] @@ -579,8 +603,11 @@ def list_qc_metrics(self): print(' ' + styled_text("Description: ", style="Bold") + description) print(' ' + styled_text("Date levels: ", style="Bold") + str(kpf_data_levels)) print(' ' + styled_text("Date type: ", style="Bold") + data_type) - print(' ' + styled_text("Spectrum type: ", style="Bold") + str(spectrum_type)) + print(' ' + styled_text("Required data products: ", style="Bold") + str(required_data_products)) + print(' ' + styled_text("Spectrum types (applied to): ", style="Bold") + str(spectrum_types)) + print(' ' + styled_text("Master types (applied to): ", style="Bold") + str(master_types)) print(' ' + styled_text("Keyword: ", style="Bold") + styled_text(keyword, style="Bold", color='Blue')) + print(' ' + styled_text("Keyword fail value: ", style="Bold") + str(keyword_fail_value)) print(' ' + styled_text("Comment: ", style="Bold") + comment) print(' ' + styled_text("Database column: ", style="Bold") + str(db_column)) print() From 80307d0f5e972e84b565595243b654902f07bd55 Mon Sep 17 00:00:00 2001 From: BJ Fulton Date: Wed, 24 Jul 2024 08:05:25 -0700 Subject: [PATCH 84/84] update version --- kpfpipe/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kpfpipe/__init__.py b/kpfpipe/__init__.py index 04f8ce31f..caede32d1 100644 --- a/kpfpipe/__init__.py +++ b/kpfpipe/__init__.py @@ -7,4 +7,4 @@ import kpfpipe.cli -__version__ = '2.7.1' +__version__ = '2.7.2'