_dark_dark_current', '<instrument>_dark_pixel_stats', '<instrument>_dark_query_history'],\\n 'bad_pixel_monitor': ['<instrument>_bad_pixel_stats', '<instrument>_bad_pixel_query_history'],\\n 'cosmic_ray_monitor': ['<instrument>_cosmic_ray_stats', '<instrument>_cosmic_ray_query_history'],\\n 'msata_monitor': ['<instrument>_ta_stats', '<instrument>_ta_query_history'],\\n 'wata_monitor': ['<instrument>_ta_stats', '<instrument>_ta_query_history']\\n}\\n\\nINSTRUMENT_SERVICE_MATCH = {\\n 'FGS': 'Mast.Jwst.Filtered.Fgs',\\n 'MIRI': 'Mast.Jwst.Filtered.Miri',\\n 'NIRCam': 'Mast.Jwst.Filtered.Nircam',\\n 'NIRISS': 'Mast.Jwst.Filtered.Niriss',\\n 'NIRSpec': 'Mast.Jwst.Filtered.Nirspec'}\\n\\n# JWST data products\\nJWST_DATAPRODUCTS = ['IMAGE', 'SPECTRUM', 'SED', 'TIMESERIES', 'VISIBILITY',\\n 'EVENTLIST', 'CUBE', 'CATALOG', 'ENGINEERING', 'NULL']\\n\\n# Lowercase JWST instrument names\\nJWST_INSTRUMENT_NAMES = sorted(['niriss', 'nircam', 'nirspec', 'miri', 'fgs'])\\n\\n# JWST instrument names with shorthand notation\\nJWST_INSTRUMENT_NAMES_SHORTHAND = {'gui': 'fgs',\\n 'mir': 'miri',\\n 'nis': 'niriss',\\n 'nrc': 'nircam',\\n 'nrs': 'nirspec'}\\n\\n# Mixed case JWST instrument names\\nJWST_INSTRUMENT_NAMES_MIXEDCASE = {'fgs': 'FGS',\\n 'miri': 'MIRI',\\n 'nircam': 'NIRCam',\\n 'niriss': 'NIRISS',\\n 'nirspec': 'NIRSpec'}\\n\\n# Upper case JWST instrument names\\nJWST_INSTRUMENT_NAMES_UPPERCASE = {key: value.upper() for key, value in\\n JWST_INSTRUMENT_NAMES_MIXEDCASE.items()}\\n\\n# Astoquery service string for each JWST instrument\\nJWST_MAST_SERVICES = ['Mast.Jwst.Filtered.{}'.format(value.title()) for value in\\n JWST_INSTRUMENT_NAMES]\\n\\n# Maximum number of records returned by MAST for a single query\\nMAST_QUERY_LIMIT = 500000\\n\\n# Available monitor names and their location for each JWST instrument\\nMONITORS = {\\n 'fgs': [('Bad Pixel Monitor', '/fgs/bad_pixel_monitor'),\\n ('Cosmic Ray Monitor', '#'),\\n ('Dark Current Monitor', '/fgs/dark_monitor'),\\n ('EDB Telemetry Monitor', '/fgs/edb_monitor'),\\n ('Readnoise Monitor', '/fgs/readnoise_monitor')],\\n 'miri': [('Bad Pixel Monitor', '/miri/bad_pixel_monitor'),\\n ('Cosmic Ray Monitor', '#'),\\n ('Dark Current Monitor', '/miri/dark_monitor'),\\n ('EDB Telemetry Monitor', '/miri/edb_monitor'),\\n ('Readnoise Monitor', '/miri/readnoise_monitor')],\\n 'nircam': [('Bad Pixel Monitor', '/nircam/bad_pixel_monitor'),\\n ('Bias Monitor', '/nircam/bias_monitor'),\\n ('Cosmic Ray Monitor', '#'),\\n ('Dark Current Monitor', '/nircam/dark_monitor'),\\n ('EDB Telemetry Monitor', '/nircam/edb_monitor'),\\n ('Readnoise Monitor', '/nircam/readnoise_monitor')],\\n 'niriss': [('Bad Pixel Monitor', '/niriss/bad_pixel_monitor'),\\n ('Bias Monitor', '/niriss/bias_monitor'),\\n ('Cosmic Ray Monitor', '#'),\\n ('Dark Current Monitor', '/niriss/dark_monitor'),\\n ('EDB Telemetry Monitor', '/niriss/edb_monitor'),\\n ('Readnoise Monitor', '/niriss/readnoise_monitor')],\\n 'nirspec': [('Bad Pixel Monitor', '/nirspec/bad_pixel_monitor'),\\n ('Bias Monitor', '/nirspec/bias_monitor'),\\n ('Dark Monitor', '/nirspec/dark_monitor'),\\n ('Cosmic Ray Monitor', '#'),\\n ('EDB Telemetry Monitor', '/nirspec/edb_monitor'),\\n ('MSATA Monitor', '/nirspec/msata_monitor'),\\n ('Readnoise Monitor', '/nirspec/readnoise_monitor'),\\n ('WATA Monitor', '/nirspec/wata_monitor')\\n ]}\\n\\n# Possible suffix types for coronograph exposures\\nNIRCAM_CORONAGRAPHY_SUFFIX_TYPES = ['psfstack', 'psfalign', 'psfsub']\\n\\n# NIRCam subarrays that use four amps for readout\\nNIRCAM_FOUR_AMP_SUBARRAYS = ['WFSS128R', 'WFSS64R']\\n\\n# NIRCam long wavelength detector names\\nNIRCAM_LONGWAVE_DETECTORS = ['NRCA5', 'NRCB5']\\n\\n# NIRCam short wavelength detector names\\nNIRCAM_SHORTWAVE_DETECTORS = ['NRCA1', 'NRCA2', 'NRCA3', 'NRCA4',\\n 'NRCB1', 'NRCB2', 'NRCB3', 'NRCB4']\\n\\n# NIRCam subarrays that use either one or four amps\\nNIRCAM_SUBARRAYS_ONE_OR_FOUR_AMPS = ['SUBGRISMSTRIPE64', 'SUBGRISMSTRIPE128', 'SUBGRISMSTRIPE256']\\n\\n# Possible suffix types for AMI files\\nNIRISS_AMI_SUFFIX_TYPES = ['amiavg', 'aminorm', 'ami', 'psf-amiavg']\\n\\n# Base name for the file listing the preview images for a given instrument.\\n# The complete name will have \\\"_{instrument.lower}.txt\\\" added to the end of this.\\nPREVIEW_IMAGE_LISTFILE = 'preview_image_inventory'\\n\\n# RAPID-style readout patterns for each instrument. Added so we can\\n# differentiate in MAST searches for e.g. the dark current monitor\\nRAPID_READPATTERNS = {'fgs': ['FGSRAPID'],\\n 'miri': ['FAST', 'FASTR1', 'SLOW', 'SLOWR1', 'FASTGRPAVG',\\n 'FASTGRPAVG8', 'FASTGRPAVG16', 'FASTGRPAVG32',\\n 'FASTGRPAVG64', 'FASTR100'],\\n 'nircam': ['RAPID'],\\n 'niriss': ['NISRAPID'],\\n 'nirspec': ['NRSRAPID', 'NRSIRS2RAPID']}\\n\\nREADPATT_PER_INSTRUMENT = {'fgs': ['FGS', 'FGSRAPID', 'FGS60', 'FGS840', 'FGS8370'],\\n 'miri': ['FAST', 'FASTR1', 'SLOW', 'SLOWR1', 'FASTGRPAVG',\\n 'FASTGRPAVG8', 'FASTGRPAVG16', 'FASTGRPAVG32',\\n 'FASTGRPAVG64', 'FASTR100'],\\n 'nircam': ['RAPID', 'SHALLOW2', 'BRIGHT2', 'MEDIUM2', 'SHALLOW4',\\n 'MEDIUM8', 'BRIGHT1', 'DEEP2', 'DEEP8'],\\n 'niriss': ['NISRAPID', 'NIS'],\\n 'nirspec': ['NRS', 'NRSRAPID', 'NRSIRS2RAPID',\\n 'NRSRAPIDD2', 'NRSRAPIDD6']}\\n\\nSUBARRAYS_ONE_OR_FOUR_AMPS = ['SUBGRISMSTRIPE64', 'SUBGRISMSTRIPE128', 'SUBGRISMSTRIPE256']\\n\\n# Filename suffixes that need to include the association value in the suffix in\\n# order to identify the preview image file. This should only be crf and crfints,\\n# since those are essentially level 2 files that are output by the level 3 pipeline.\\nSUFFIXES_TO_ADD_ASSOCIATION = ['crf', 'crfints']\\n\\n# Filename suffixes where data have been averaged over integrations\\nSUFFIXES_WITH_AVERAGED_INTS = ['rate', 'cal', 'crf', 'i2d', 'bsub']\\n\\n# boolean accessed according to a viewed flag\\nTHUMBNAIL_FILTER_LOOK = ['New', 'Viewed']\\n\\n# Base name for the file listing the thumbnail images for a given instrument.\\n# The complete name will have \\\"_{instrument.lower}.txt\\\" added to the end of this.\\nTHUMBNAIL_LISTFILE = 'thumbnail_inventory'\\n\\n# Possible suffix types for time-series exposures\\nTIME_SERIES_SUFFIX_TYPES = ['phot', 'whtlt']\\n\\n# Possible suffix types for WFS&C files\\nWFSC_SUFFIX_TYPES = ['wfscmb']\\n\\n# Concatenate all suffix types (ordered to ensure successful matching)\\nFILE_SUFFIX_TYPES = GUIDER_SUFFIX_TYPES + GENERIC_SUFFIX_TYPES + \\\\\\n TIME_SERIES_SUFFIX_TYPES + NIRCAM_CORONAGRAPHY_SUFFIX_TYPES + \\\\\\n NIRISS_AMI_SUFFIX_TYPES + WFSC_SUFFIX_TYPES\\n\\n# Instrument Documentation Links\\nURL_DICT = {'fgs': 'https://jwst-docs.stsci.edu/jwst-observatory-hardware/jwst-fine-guidance-sensor',\\n 'miri': 'https://jwst-docs.stsci.edu/jwst-mid-infrared-instrument',\\n 'niriss': 'https://jwst-docs.stsci.edu/jwst-near-infrared-imager-and-slitless-spectrograph',\\n 'nirspec': 'https://jwst-docs.stsci.edu/jwst-near-infrared-spectrograph',\\n 'nircam': 'https://jwst-docs.stsci.edu/jwst-near-infrared-camera'}\\n\",\n \"path\": \"jwql/utils/constants.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"\"\"\"Globally defined and used variables for the ``jwql`` project.\n\nAuthors\n-------\n\n - Johannes Sahlmann\n - Matthew Bourque\n - Bryan Hilbert\n - Ben Sunnquist\n - Teagan King\n - Mike Engesser\n - Maria Pena-Guerrero\n - Rachel Cooper\n\nUse\n---\n This variables within this module are intended to be directly\n imported, e.g.:\n ::\n\n from jwql.utils.constants import JWST_INSTRUMENT_NAMES\n\nReferences\n----------\n\n Many variables were transferred from an earlier version of\n ``utils.py``\n\"\"\"\n\nimport inflection\n\n# Each amplifier is represented by 2 tuples, the first for x coordinates\n# and the second for y coordinates. Within each tuple are value for\n# starting, ending, and step size. Step size is needed for MIRI, where\n# the pixels corresponding to the 4 amplifiers are interleaved.\nAMPLIFIER_BOUNDARIES = {'nircam': {'1': [(0, 512, 1), (0, 2048, 1)],\n '2': [(512, 1024, 1), (0, 2048, 1)],\n '3': [(1024, 1536, 1), (0, 2048, 1)],\n '4': [(1536, 2048, 1), (0, 2048, 1)]},\n 'niriss': {'1': [(0, 2048, 1), (0, 512, 1)],\n '2': [(0, 2048, 1), (512, 1024, 1)],\n '3': [(0, 2048, 1), (1024, 1536, 1)],\n '4': [(0, 2048, 1), (1536, 2048, 1)]},\n 'fgs': {'1': [(0, 512, 1), (0, 2048, 1)],\n '2': [(512, 1024, 1), (0, 2048, 1)],\n '3': [(1024, 1536, 1), (0, 2048, 1)],\n '4': [(1536, 2048, 1), (0, 2048, 1)]},\n 'nirspec': {'1': [(0, 2048, 1), (0, 512, 1)],\n '2': [(0, 2048, 1), (512, 1024, 1)],\n '3': [(0, 2048, 1), (1024, 1536, 1)],\n '4': [(0, 2048, 1), (1536, 2048, 1)]},\n 'miri': {'1': [(0, 1032, 4), (0, 1024, 1)],\n '2': [(1, 1032, 4), (0, 1024, 1)],\n '3': [(2, 1032, 4), (0, 1024, 1)],\n '4': [(3, 1032, 4), (0, 1024, 1)]}}\n\n# Dictionary describing instruments to which anomalies apply\nANOMALIES_PER_INSTRUMENT = {\n # anomalies affecting all instruments:\n 'cosmic_ray_shower': ['fgs', 'miri', 'nircam', 'niriss', 'nirspec'],\n 'diffraction_spike': ['fgs', 'miri', 'nircam', 'niriss', 'nirspec'],\n 'excessive_saturation': ['fgs', 'miri', 'nircam', 'niriss', 'nirspec'],\n 'guidestar_failure': ['fgs', 'miri', 'nircam', 'niriss', 'nirspec'],\n 'persistence': ['fgs', 'miri', 'nircam', 'niriss', 'nirspec'],\n # anomalies affecting multiple instruments:\n 'crosstalk': ['fgs', 'nircam', 'niriss', 'nirspec'],\n 'data_transfer_error': ['fgs', 'nircam', 'niriss', 'nirspec'],\n 'ghost': ['fgs', 'nircam', 'niriss', 'nirspec'],\n 'snowball': ['fgs', 'nircam', 'niriss', 'nirspec'],\n # instrument-specific anomalies:\n 'column_pull_up': ['miri'],\n 'column_pull_down': ['miri'],\n 'Dominant_MSA_Leakage': ['nirspec'],\n 'dragons_breath': ['nircam'],\n 'MRS_Glow': ['miri'],\n 'MRS_Zipper': ['miri'],\n 'internal_reflection': ['miri'],\n 'optical_short': ['nirspec'], # Only for MOS observations\n 'row_pull_up': ['miri'],\n 'row_pull_down': ['miri'],\n 'LRS_Contamination': ['miri'],\n 'tree_rings': ['miri'],\n 'scattered_light': ['niriss', 'nircam'],\n 'claws': ['nircam'],\n 'wisps': ['nircam'],\n 'tilt_event': ['nircam'],\n 'light_saber': ['niriss'],\n # additional anomalies:\n 'other': ['fgs', 'miri', 'nircam', 'niriss', 'nirspec']}\n# anomalies that shouldn't be 'titleized'\nspecial_cases = ['Dominant_MSA_Leakage','MRS_Glow','MRS_Zipper','LRS_Contamination']\n\n# Defines the possible anomalies to flag through the web app\nANOMALY_CHOICES = [(anomaly, inflection.titleize(anomaly)) if anomaly not in special_cases\n else (anomaly, anomaly.replace('_',' '))\n for anomaly in ANOMALIES_PER_INSTRUMENT]\n\nANOMALY_CHOICES_FGS = [(anomaly, inflection.titleize(anomaly)) for anomaly in ANOMALIES_PER_INSTRUMENT\n if 'fgs' in ANOMALIES_PER_INSTRUMENT[anomaly]]\n\nANOMALY_CHOICES_MIRI = [(anomaly, inflection.titleize(anomaly)) if anomaly not in special_cases\n else (anomaly, anomaly.replace('_',' '))\n for anomaly in ANOMALIES_PER_INSTRUMENT\n if 'miri' in ANOMALIES_PER_INSTRUMENT[anomaly]]\n\nANOMALY_CHOICES_NIRCAM = [(anomaly, inflection.titleize(anomaly)) for anomaly in ANOMALIES_PER_INSTRUMENT\n if 'nircam' in ANOMALIES_PER_INSTRUMENT[anomaly]]\n\nANOMALY_CHOICES_NIRISS = [(anomaly, inflection.titleize(anomaly)) for anomaly in ANOMALIES_PER_INSTRUMENT\n if 'niriss' in ANOMALIES_PER_INSTRUMENT[anomaly]]\n\nANOMALY_CHOICES_NIRSPEC = [(anomaly, inflection.titleize(anomaly)) if anomaly not in special_cases\n else (anomaly, anomaly.replace('_',' '))\n for anomaly in ANOMALIES_PER_INSTRUMENT\n if 'nirspec' in ANOMALIES_PER_INSTRUMENT[anomaly]]\n\nANOMALY_CHOICES_PER_INSTRUMENT = {'fgs': ANOMALY_CHOICES_FGS,\n 'miri': ANOMALY_CHOICES_MIRI,\n 'nircam': ANOMALY_CHOICES_NIRCAM,\n 'niriss': ANOMALY_CHOICES_NIRISS,\n 'nirspec': ANOMALY_CHOICES_NIRSPEC\n }\n\nAPERTURES_PER_INSTRUMENT = {'NIRCAM': ['NRCA1_FULL', 'NRCA2_FULL', 'NRCA3_FULL', 'NRCA4_FULL',\n 'NRCA5_FULL', 'NRCB1_FULL', 'NRCB2_FULL', 'NRCB3_FULL',\n 'NRCB4_FULL', 'NRCB5_FULL'],\n 'NIRISS': ['NIS_CEN', 'NIS_SOSSFULL', 'NIS_AMIFULL', 'NIS_AMI1',\n 'NIS_SUBSTRIP256', 'NIS_SUBSTRIP96',\n 'NIS_SUB64', 'NIS_SUB128', 'NIS_SUB256'],\n 'NIRSPEC': ['NRS_FULL_MSA', 'NRS_FULL_IFU', 'NRS_S200A1_SLIT', 'NRS_S200A2_SLIT',\n 'NRS_S400A1_SLIT', 'NRS_S1600A1_SLIT', 'NRS_S200B1_SLIT'],\n 'MIRI': ['MIRIM_SUB64', 'MIRIM_SUB128', 'MIRIM_SUB256', 'MIRIM_MASK1140',\n 'MIRIM_MASK1065', 'MIRIM_MASK1550', 'MIRIM_MASKLYOT',\n 'MIRIM_BRIGHTSKY', 'MIRIM_SLITLESSPRISM'],\n 'FGS': ['FGS1_FULL', 'FGS2_FULL']}\n\n# Observing templates used for ASIC tuning. MAST query results that\n# have one of these templates will be ignored\nASIC_TEMPLATES = ['ISIM ASIC Tuning']\n\n# Bad pixel types by the type of data used to find them\nBAD_PIXEL_TYPES = ['DEAD', 'HOT', 'LOW_QE', 'RC', 'OPEN', 'ADJ_OPEN', 'TELEGRAPH', 'OTHER_BAD_PIXEL']\nDARKS_BAD_PIXEL_TYPES = ['HOT', 'RC', 'OTHER_BAD_PIXEL', 'TELEGRAPH']\nFLATS_BAD_PIXEL_TYPES = ['DEAD', 'OPEN', 'ADJ_OPEN', 'LOW_QE']\n\n# Possible exposure types for dark current data\nDARK_EXP_TYPES = {'nircam': ['NRC_DARK'],\n 'niriss': ['NIS_DARK'],\n 'miri': ['MIR_DARKIMG', 'MIR_DARKMRS', 'MIR_DARKALL'],\n 'nirspec': ['NRS_DARK'],\n 'fgs': ['FGS_DARK']}\n\n# Dictionary of observing modes available for each instrument\nDETECTOR_PER_INSTRUMENT = {'miri': ['MIRIFULONG', 'MIRIFUSHORT', 'MIRIMAGE'],\n 'nircam': ['NRCB4', 'NRCA4', 'NRCA2', 'NRCALONG',\n 'NRCBLONG', 'NRCB2', 'NRCB3', 'NRCA1',\n 'NRCA3', 'NRCB1'],\n 'niriss': ['NIS'],\n 'nirspec': ['NRS1', 'NRS2'],\n 'fgs': ['GUIDER1', 'GUIDER2']}\n\n# Default time range to use for EDB monitor telemetry plots. The plots will\n# go from this starting time to the monitor run time, unless otherwise requested.\nEDB_DEFAULT_PLOT_RANGE = 14 # days.\n\nEXP_TYPE_PER_INSTRUMENT = {'fgs': ['FGS_FOCUS', 'FGS_IMAGE', 'FGS_INTFLAT',\n 'FGS_SKYFLAT', 'FGS_DARK'],\n 'miri': ['MIR_FLATMRS', 'MIR_MRS', 'MIR_FLATIMAGE',\n 'MIR_DARK', 'MIR_LYOT', 'MIR_IMAGE',\n 'MIR_LRS-FIXEDSLIT', 'MIR_LRS-SLITLESS',\n 'MIR_CORONCAL', 'MIR_4QPM', 'MIR_FLATIMAGE-EXT',\n 'MIR_TACQ', 'MIR_DARKMRS',\n 'MIR_DARKIMG', 'MIR_FLATMRS-EXT', 'MIR_TACONFIRM'],\n 'nircam': ['NRC_LED', 'NRC_DARK', 'NRC_CORON',\n 'NRC_IMAGE', 'NRC_FOCUS', 'NRC_TSGRISM',\n 'NRC_TSIMAGE', 'NRC_WFSS', 'NRC_TACQ',\n 'NRC_TACONFIRM', 'NRC_FLAT', 'NRC_GRISM'],\n 'niriss': ['NIS_IMAGE', 'NIS_FOCUS', 'NIS_SOSS',\n 'NIS_AMI', 'NIS_LAMP', 'NIS_WFSS', 'NIS_DARK',\n 'NIS_EXTCAL', 'NIS_TACONFIRM', 'NIS_TACQ'],\n 'nirspec': ['NRS_IFU', 'NRS_MSASPEC', 'NRS_BRIGHTOBJ', 'NRS_DARK',\n 'NRS_AUTOWAVE', 'NRS_LAMP', 'NRS_AUTOFLAT', 'NRS_IMAGE',\n 'NRS_CONFIRM', 'NRS_FIXEDSLIT', 'NRS_MIMF', 'NRS_FOCUS',\n 'NRS_TACONFIRM', 'NRS_WATA', 'NRS_MSATA']}\n\nEXPTYPES = {\"nircam\": {\"imaging\": \"NRC_IMAGE\", \"ts_imaging\": \"NRC_TSIMAGE\",\n \"wfss\": \"NRC_WFSS\", \"ts_grism\": \"NRC_TSGRISM\"},\n \"niriss\": {\"imaging\": \"NIS_IMAGE\", \"ami\": \"NIS_IMAGE\",\n \"pom\": \"NIS_IMAGE\", \"wfss\": \"NIS_WFSS\"},\n \"fgs\": {\"imaging\": \"FGS_IMAGE\"}}\n\nEXPOSURE_PAGE_SUFFIX_ORDER = ['uncal', 'dark', 'trapsfilled', 'ramp', 'rate', 'rateints', 'fitopt', 'cal', 'calints',\n 'msa', 'crf', 'crfints', 'bsub', 'bsubints', 'i2d', 's2d', 's3d', 'x1d', 'x1dints',\n 'cat', 'segm', 'c1d', 'psfstack', 'psfalign', 'psfsub', 'amiavg', 'aminorm', 'ami',\n 'psf-amiavg', 'phot', 'whtlt', 'wfscmb']\n\n# Filename Component Lengths\nFILE_AC_CAR_ID_LEN = 4\nFILE_AC_O_ID_LEN = 3\nFILE_ACT_LEN = 2\nFILE_DATETIME_LEN = 13\nFILE_EPOCH_LEN = 1\nFILE_GUIDESTAR_ATTMPT_LEN_MIN = 1\nFILE_GUIDESTAR_ATTMPT_LEN_MAX = 3\nFILE_OBS_LEN = 3\nFILE_PARALLEL_SEQ_ID_LEN = 1\nFILE_PROG_ID_LEN = 5\nFILE_SEG_LEN = 3\nFILE_SOURCE_ID_LEN = 5\nFILE_TARG_ID_LEN = 3\nFILE_VISIT_GRP_LEN = 2\nFILE_VISIT_LEN = 3\n\n# MSA metadata file do not have a standard suffix attached\nFILETYPE_WO_STANDARD_SUFFIX = 'msa.fits'\n\nFLAT_EXP_TYPES = {'nircam': ['NRC_FLAT'],\n 'niriss': ['NIS_LAMP'],\n 'miri': ['MIR_FLATIMAGE', 'MIR_FLATMRS'],\n 'nirspec': ['NRS_AUTOFLAT', 'NRS_LAMP'],\n 'fgs': ['FGS_INTFLAT']}\n\nFILTERS_PER_INSTRUMENT = {'fgs': [],\n 'miri': ['F1000W', 'F1130W', 'F1280W', 'OPAQUE', 'F2300C', 'F560W', 'P750L',\n 'F1500W', 'F2550W', 'F770W', 'FLENS', 'FND', 'F2100W', 'F1800W',\n 'F1550C', 'F1140C', 'F2550WR', 'F1065C'],\n 'nircam': ['F070W', 'F090W', 'F115W', 'F140M', 'F150W', 'F150W2', 'F182M',\n 'F187N', 'F200W', 'F210M', 'F212N', 'F250M', 'F277W', 'F300M',\n 'F322W2', 'F335M', 'F356W', 'F360M', 'F410M', 'F430M', 'F444W',\n 'F460M', 'F480M'],\n 'niriss': ['CLEAR', 'F380M', 'F480M', 'GR150R', 'F430M', 'GR150C', 'F444W',\n 'F356W', 'F277W'],\n 'nirspec': ['F290LP', 'F170LP', 'OPAQUE', 'F100LP', 'F070LP', 'F140X', 'CLEAR', 'F110W']}\n\nFOUR_AMP_SUBARRAYS = ['WFSS128R', 'WFSS64R']\n\n# Names of full-frame apertures for all instruments\nFULL_FRAME_APERTURES = {'NIRCAM': ['NRCA1_FULL', 'NRCA2_FULL', 'NRCA3_FULL', 'NRCA4_FULL',\n 'NRCA5_FULL', 'NRCB1_FULL', 'NRCB2_FULL', 'NRCB3_FULL',\n 'NRCB4_FULL', 'NRCB5_FULL'],\n 'NIRISS': ['NIS_CEN'],\n 'NIRSPEC': ['NRS1_FULL', 'NRS2_FULL'],\n 'MIRI': ['MIRIM_FULL'],\n 'FGS': ['FGS1_FULL', 'FGS2_FULL']\n }\n\n# Possible suffix types for nominal files\nGENERIC_SUFFIX_TYPES = ['uncal', 'cal', 'rateints', 'rate', 'trapsfilled', 'i2d',\n 'x1dints', 'x1d', 's2d', 's3d', 'dark', 'crfints',\n 'crf', 'ramp', 'fitopt', 'bsubints', 'bsub', 'cat', 'segm', 'c1d']\n\n# Gratings available for each instrument\nGRATING_PER_INSTRUMENT = {'fgs': [],\n 'miri': [],\n 'nircam': [],\n 'niriss': [],\n 'nirspec': ['G140M', 'G235M', 'G395M', 'G140H',\n 'G235H', 'G395H', 'PRISM']\n }\n\n# Filename extensions for guider data\nGUIDER_FILENAME_TYPE = ['gs-fg', 'gs-track', 'gs-id', 'gs-acq1', 'gs-acq2']\n\n# Possible suffix types for guider exposures\nGUIDER_SUFFIX_TYPES = ['stream', 'stacked_uncal', 'image_uncal', 'stacked_cal', 'image_cal']\n\n# JWQL should ignore some filetypes in the filesystem.\nIGNORED_SUFFIXES = ['original', 'stream', 'x1d', 'x1dints', 'c1d', 'pre-image']\n\n# Instrument monitor database tables\nINSTRUMENT_MONITOR_DATABASE_TABLES = {\n 'dark_monitor': ['<instrument>_dark_dark_current', '<instrument>_dark_pixel_stats', '<instrument>_dark_query_history'],\n 'bad_pixel_monitor': ['<instrument>_bad_pixel_stats', '<instrument>_bad_pixel_query_history'],\n 'cosmic_ray_monitor': ['<instrument>_cosmic_ray_stats', '<instrument>_cosmic_ray_query_history'],\n 'msata_monitor': ['<instrument>_ta_stats', '<instrument>_ta_query_history'],\n 'wata_monitor': ['<instrument>_ta_stats', '<instrument>_ta_query_history']\n}\n\nINSTRUMENT_SERVICE_MATCH = {\n 'FGS': 'Mast.Jwst.Filtered.Fgs',\n 'MIRI': 'Mast.Jwst.Filtered.Miri',\n 'NIRCam': 'Mast.Jwst.Filtered.Nircam',\n 'NIRISS': 'Mast.Jwst.Filtered.Niriss',\n 'NIRSpec': 'Mast.Jwst.Filtered.Nirspec'}\n\n# JWST data products\nJWST_DATAPRODUCTS = ['IMAGE', 'SPECTRUM', 'SED', 'TIMESERIES', 'VISIBILITY',\n 'EVENTLIST', 'CUBE', 'CATALOG', 'ENGINEERING', 'NULL']\n\n# Lowercase JWST instrument names\nJWST_INSTRUMENT_NAMES = sorted(['niriss', 'nircam', 'nirspec', 'miri', 'fgs'])\n\n# JWST instrument names with shorthand notation\nJWST_INSTRUMENT_NAMES_SHORTHAND = {'gui': 'fgs',\n 'mir': 'miri',\n 'nis': 'niriss',\n 'nrc': 'nircam',\n 'nrs': 'nirspec'}\n\n# Mixed case JWST instrument names\nJWST_INSTRUMENT_NAMES_MIXEDCASE = {'fgs': 'FGS',\n 'miri': 'MIRI',\n 'nircam': 'NIRCam',\n 'niriss': 'NIRISS',\n 'nirspec': 'NIRSpec'}\n\n# Upper case JWST instrument names\nJWST_INSTRUMENT_NAMES_UPPERCASE = {key: value.upper() for key, value in\n JWST_INSTRUMENT_NAMES_MIXEDCASE.items()}\n\n# Astoquery service string for each JWST instrument\nJWST_MAST_SERVICES = ['Mast.Jwst.Filtered.{}'.format(value.title()) for value in\n JWST_INSTRUMENT_NAMES]\n\n# Maximum number of records returned by MAST for a single query\nMAST_QUERY_LIMIT = 500000\n\n# Available monitor names and their location for each JWST instrument\nMONITORS = {\n 'fgs': [('Bad Pixel Monitor', '/fgs/bad_pixel_monitor'),\n ('Cosmic Ray Monitor', '#'),\n ('Dark Current Monitor', '/fgs/dark_monitor'),\n ('EDB Telemetry Monitor', '/fgs/edb_monitor'),\n ('Readnoise Monitor', '/fgs/readnoise_monitor')],\n 'miri': [('Bad Pixel Monitor', '/miri/bad_pixel_monitor'),\n ('Cosmic Ray Monitor', '#'),\n ('Dark Current Monitor', '/miri/dark_monitor'),\n ('EDB Telemetry Monitor', '/miri/edb_monitor'),\n ('Readnoise Monitor', '/miri/readnoise_monitor')],\n 'nircam': [('Bad Pixel Monitor', '/nircam/bad_pixel_monitor'),\n ('Bias Monitor', '/nircam/bias_monitor'),\n ('Cosmic Ray Monitor', '#'),\n ('Dark Current Monitor', '/nircam/dark_monitor'),\n ('EDB Telemetry Monitor', '/nircam/edb_monitor'),\n ('Readnoise Monitor', '/nircam/readnoise_monitor')],\n 'niriss': [('Bad Pixel Monitor', '/niriss/bad_pixel_monitor'),\n ('Bias Monitor', '/niriss/bias_monitor'),\n ('Cosmic Ray Monitor', '#'),\n ('Dark Current Monitor', '/niriss/dark_monitor'),\n ('EDB Telemetry Monitor', '/niriss/edb_monitor'),\n ('Readnoise Monitor', '/niriss/readnoise_monitor')],\n 'nirspec': [('Bad Pixel Monitor', '/nirspec/bad_pixel_monitor'),\n ('Bias Monitor', '/nirspec/bias_monitor'),\n ('Dark Monitor', '/nirspec/dark_monitor'),\n ('Cosmic Ray Monitor', '#'),\n ('EDB Telemetry Monitor', '/nirspec/edb_monitor'),\n ('MSATA Monitor', '/nirspec/msata_monitor'),\n ('Readnoise Monitor', '/nirspec/readnoise_monitor'),\n ('WATA Monitor', '/nirspec/wata_monitor')\n ]}\n\n# Possible suffix types for coronograph exposures\nNIRCAM_CORONAGRAPHY_SUFFIX_TYPES = ['psfstack', 'psfalign', 'psfsub']\n\n# NIRCam subarrays that use four amps for readout\nNIRCAM_FOUR_AMP_SUBARRAYS = ['WFSS128R', 'WFSS64R']\n\n# NIRCam long wavelength detector names\nNIRCAM_LONGWAVE_DETECTORS = ['NRCA5', 'NRCB5']\n\n# NIRCam short wavelength detector names\nNIRCAM_SHORTWAVE_DETECTORS = ['NRCA1', 'NRCA2', 'NRCA3', 'NRCA4',\n 'NRCB1', 'NRCB2', 'NRCB3', 'NRCB4']\n\n# NIRCam subarrays that use either one or four amps\nNIRCAM_SUBARRAYS_ONE_OR_FOUR_AMPS = ['SUBGRISMSTRIPE64', 'SUBGRISMSTRIPE128', 'SUBGRISMSTRIPE256']\n\n# Possible suffix types for AMI files\nNIRISS_AMI_SUFFIX_TYPES = ['amiavg', 'aminorm', 'ami', 'psf-amiavg']\n\n# Base name for the file listing the preview images for a given instrument.\n# The complete name will have \"_{instrument.lower}.txt\" added to the end of this.\nPREVIEW_IMAGE_LISTFILE = 'preview_image_inventory'\n\n# RAPID-style readout patterns for each instrument. Added so we can\n# differentiate in MAST searches for e.g. the dark current monitor\nRAPID_READPATTERNS = {'fgs': ['FGSRAPID'],\n 'miri': ['FAST', 'FASTR1', 'SLOW', 'SLOWR1', 'FASTGRPAVG',\n 'FASTGRPAVG8', 'FASTGRPAVG16', 'FASTGRPAVG32',\n 'FASTGRPAVG64', 'FASTR100'],\n 'nircam': ['RAPID'],\n 'niriss': ['NISRAPID'],\n 'nirspec': ['NRSRAPID', 'NRSIRS2RAPID']}\n\nREADPATT_PER_INSTRUMENT = {'fgs': ['FGS', 'FGSRAPID', 'FGS60', 'FGS840', 'FGS8370'],\n 'miri': ['FAST', 'FASTR1', 'SLOW', 'SLOWR1', 'FASTGRPAVG',\n 'FASTGRPAVG8', 'FASTGRPAVG16', 'FASTGRPAVG32',\n 'FASTGRPAVG64', 'FASTR100'],\n 'nircam': ['RAPID', 'SHALLOW2', 'BRIGHT2', 'MEDIUM2', 'SHALLOW4',\n 'MEDIUM8', 'BRIGHT1', 'DEEP2', 'DEEP8'],\n 'niriss': ['NISRAPID', 'NIS'],\n 'nirspec': ['NRS', 'NRSRAPID', 'NRSIRS2RAPID',\n 'NRSRAPIDD2', 'NRSRAPIDD6']}\n\nSUBARRAYS_ONE_OR_FOUR_AMPS = ['SUBGRISMSTRIPE64', 'SUBGRISMSTRIPE128', 'SUBGRISMSTRIPE256']\n\n# Filename suffixes that need to include the association value in the suffix in\n# order to identify the preview image file. This should only be crf and crfints,\n# since those are essentially level 2 files that are output by the level 3 pipeline.\nSUFFIXES_TO_ADD_ASSOCIATION = ['crf', 'crfints']\n\n# Filename suffixes where data have been averaged over integrations\nSUFFIXES_WITH_AVERAGED_INTS = ['rate', 'cal', 'crf', 'i2d', 'bsub']\n\n# boolean accessed according to a viewed flag\nTHUMBNAIL_FILTER_LOOK = ['New', 'Viewed']\n\n# Base name for the file listing the thumbnail images for a given instrument.\n# The complete name will have \"_{instrument.lower}.txt\" added to the end of this.\nTHUMBNAIL_LISTFILE = 'thumbnail_inventory'\n\n# Possible suffix types for time-series exposures\nTIME_SERIES_SUFFIX_TYPES = ['phot', 'whtlt']\n\n# Possible suffix types for WFS&C files\nWFSC_SUFFIX_TYPES = ['wfscmb']\n\n# Concatenate all suffix types (ordered to ensure successful matching)\nFILE_SUFFIX_TYPES = GUIDER_SUFFIX_TYPES + GENERIC_SUFFIX_TYPES + \\\n TIME_SERIES_SUFFIX_TYPES + NIRCAM_CORONAGRAPHY_SUFFIX_TYPES + \\\n NIRISS_AMI_SUFFIX_TYPES + WFSC_SUFFIX_TYPES\n\n# Instrument Documentation Links\nURL_DICT = {'fgs': 'https://jwst-docs.stsci.edu/jwst-observatory-hardware/jwst-fine-guidance-sensor',\n 'miri': 'https://jwst-docs.stsci.edu/jwst-mid-infrared-instrument',\n 'niriss': 'https://jwst-docs.stsci.edu/jwst-near-infrared-imager-and-slitless-spectrograph',\n 'nirspec': 'https://jwst-docs.stsci.edu/jwst-near-infrared-spectrograph',\n 'nircam': 'https://jwst-docs.stsci.edu/jwst-near-infrared-camera'}\n","path":"jwql/utils/constants.py"}],"string":"[\n {\n \"content\": \"\\\"\\\"\\\"Globally defined and used variables for the ``jwql`` project.\\n\\nAuthors\\n-------\\n\\n - Johannes Sahlmann\\n - Matthew Bourque\\n - Bryan Hilbert\\n - Ben Sunnquist\\n - Teagan King\\n - Mike Engesser\\n - Maria Pena-Guerrero\\n - Rachel Cooper\\n\\nUse\\n---\\n This variables within this module are intended to be directly\\n imported, e.g.:\\n ::\\n\\n from jwql.utils.constants import JWST_INSTRUMENT_NAMES\\n\\nReferences\\n----------\\n\\n Many variables were transferred from an earlier version of\\n ``utils.py``\\n\\\"\\\"\\\"\\n\\nimport inflection\\n\\n# Each amplifier is represented by 2 tuples, the first for x coordinates\\n# and the second for y coordinates. Within each tuple are value for\\n# starting, ending, and step size. Step size is needed for MIRI, where\\n# the pixels corresponding to the 4 amplifiers are interleaved.\\nAMPLIFIER_BOUNDARIES = {'nircam': {'1': [(0, 512, 1), (0, 2048, 1)],\\n '2': [(512, 1024, 1), (0, 2048, 1)],\\n '3': [(1024, 1536, 1), (0, 2048, 1)],\\n '4': [(1536, 2048, 1), (0, 2048, 1)]},\\n 'niriss': {'1': [(0, 2048, 1), (0, 512, 1)],\\n '2': [(0, 2048, 1), (512, 1024, 1)],\\n '3': [(0, 2048, 1), (1024, 1536, 1)],\\n '4': [(0, 2048, 1), (1536, 2048, 1)]},\\n 'fgs': {'1': [(0, 512, 1), (0, 2048, 1)],\\n '2': [(512, 1024, 1), (0, 2048, 1)],\\n '3': [(1024, 1536, 1), (0, 2048, 1)],\\n '4': [(1536, 2048, 1), (0, 2048, 1)]},\\n 'nirspec': {'1': [(0, 2048, 1), (0, 512, 1)],\\n '2': [(0, 2048, 1), (512, 1024, 1)],\\n '3': [(0, 2048, 1), (1024, 1536, 1)],\\n '4': [(0, 2048, 1), (1536, 2048, 1)]},\\n 'miri': {'1': [(0, 1032, 4), (0, 1024, 1)],\\n '2': [(1, 1032, 4), (0, 1024, 1)],\\n '3': [(2, 1032, 4), (0, 1024, 1)],\\n '4': [(3, 1032, 4), (0, 1024, 1)]}}\\n\\n# Dictionary describing instruments to which anomalies apply\\nANOMALIES_PER_INSTRUMENT = {\\n # anomalies affecting all instruments:\\n 'cosmic_ray_shower': ['fgs', 'miri', 'nircam', 'niriss', 'nirspec'],\\n 'diffraction_spike': ['fgs', 'miri', 'nircam', 'niriss', 'nirspec'],\\n 'excessive_saturation': ['fgs', 'miri', 'nircam', 'niriss', 'nirspec'],\\n 'guidestar_failure': ['fgs', 'miri', 'nircam', 'niriss', 'nirspec'],\\n 'persistence': ['fgs', 'miri', 'nircam', 'niriss', 'nirspec'],\\n # anomalies affecting multiple instruments:\\n 'crosstalk': ['fgs', 'nircam', 'niriss', 'nirspec'],\\n 'data_transfer_error': ['fgs', 'nircam', 'niriss', 'nirspec'],\\n 'ghost': ['fgs', 'nircam', 'niriss', 'nirspec'],\\n 'snowball': ['fgs', 'nircam', 'niriss', 'nirspec'],\\n # instrument-specific anomalies:\\n 'column_pull_up': ['miri'],\\n 'column_pull_down': ['miri'],\\n 'Dominant_MSA_Leakage': ['nirspec'],\\n 'dragons_breath': ['nircam'],\\n 'MRS_Glow': ['miri'],\\n 'MRS_Zipper': ['miri'],\\n 'internal_reflection': ['miri'],\\n 'optical_short': ['nirspec'], # Only for MOS observations\\n 'row_pull_up': ['miri'],\\n 'row_pull_down': ['miri'],\\n 'LRS_Contamination': ['miri'],\\n 'tree_rings': ['miri'],\\n 'scattered_light': ['niriss', 'nircam'],\\n 'claws': ['nircam'],\\n 'wisps': ['nircam'],\\n 'tilt_event': ['nircam'],\\n 'light_saber': ['niriss'],\\n # additional anomalies:\\n 'other': ['fgs', 'miri', 'nircam', 'niriss', 'nirspec']}\\n# anomalies that shouldn't be 'titleized'\\nspecial_cases = ['Dominant_MSA_Leakage','MRS_Glow','MRS_Zipper','LRS_Contamination']\\n\\n# Defines the possible anomalies to flag through the web app\\nANOMALY_CHOICES = [(anomaly, inflection.titleize(anomaly)) if anomaly not in special_cases\\n else (anomaly, anomaly.replace('_',' '))\\n for anomaly in ANOMALIES_PER_INSTRUMENT]\\n\\nANOMALY_CHOICES_FGS = [(anomaly, inflection.titleize(anomaly)) for anomaly in ANOMALIES_PER_INSTRUMENT\\n if 'fgs' in ANOMALIES_PER_INSTRUMENT[anomaly]]\\n\\nANOMALY_CHOICES_MIRI = [(anomaly, inflection.titleize(anomaly)) if anomaly not in special_cases\\n else (anomaly, anomaly.replace('_',' '))\\n for anomaly in ANOMALIES_PER_INSTRUMENT\\n if 'miri' in ANOMALIES_PER_INSTRUMENT[anomaly]]\\n\\nANOMALY_CHOICES_NIRCAM = [(anomaly, inflection.titleize(anomaly)) for anomaly in ANOMALIES_PER_INSTRUMENT\\n if 'nircam' in ANOMALIES_PER_INSTRUMENT[anomaly]]\\n\\nANOMALY_CHOICES_NIRISS = [(anomaly, inflection.titleize(anomaly)) for anomaly in ANOMALIES_PER_INSTRUMENT\\n if 'niriss' in ANOMALIES_PER_INSTRUMENT[anomaly]]\\n\\nANOMALY_CHOICES_NIRSPEC = [(anomaly, inflection.titleize(anomaly)) if anomaly not in special_cases\\n else (anomaly, anomaly.replace('_',' '))\\n for anomaly in ANOMALIES_PER_INSTRUMENT\\n if 'nirspec' in ANOMALIES_PER_INSTRUMENT[anomaly]]\\n\\nANOMALY_CHOICES_PER_INSTRUMENT = {'fgs': ANOMALY_CHOICES_FGS,\\n 'miri': ANOMALY_CHOICES_MIRI,\\n 'nircam': ANOMALY_CHOICES_NIRCAM,\\n 'niriss': ANOMALY_CHOICES_NIRISS,\\n 'nirspec': ANOMALY_CHOICES_NIRSPEC\\n }\\n\\nAPERTURES_PER_INSTRUMENT = {'NIRCAM': ['NRCA1_FULL', 'NRCA2_FULL', 'NRCA3_FULL', 'NRCA4_FULL',\\n 'NRCA5_FULL', 'NRCB1_FULL', 'NRCB2_FULL', 'NRCB3_FULL',\\n 'NRCB4_FULL', 'NRCB5_FULL'],\\n 'NIRISS': ['NIS_CEN', 'NIS_SOSSFULL', 'NIS_AMIFULL', 'NIS_AMI1',\\n 'NIS_SUBSTRIP256', 'NIS_SUBSTRIP96',\\n 'NIS_SUB64', 'NIS_SUB128', 'NIS_SUB256'],\\n 'NIRSPEC': ['NRS_FULL_MSA', 'NRS_FULL_IFU', 'NRS_S200A1_SLIT', 'NRS_S200A2_SLIT',\\n 'NRS_S400A1_SLIT', 'NRS_S1600A1_SLIT', 'NRS_S200B1_SLIT'],\\n 'MIRI': ['MIRIM_SUB64', 'MIRIM_SUB128', 'MIRIM_SUB256', 'MIRIM_MASK1140',\\n 'MIRIM_MASK1065', 'MIRIM_MASK1550', 'MIRIM_MASKLYOT',\\n 'MIRIM_BRIGHTSKY', 'MIRIM_SLITLESSPRISM'],\\n 'FGS': ['FGS1_FULL', 'FGS2_FULL']}\\n\\n# Observing templates used for ASIC tuning. MAST query results that\\n# have one of these templates will be ignored\\nASIC_TEMPLATES = ['ISIM ASIC Tuning']\\n\\n# Bad pixel types by the type of data used to find them\\nBAD_PIXEL_TYPES = ['DEAD', 'HOT', 'LOW_QE', 'RC', 'OPEN', 'ADJ_OPEN', 'TELEGRAPH', 'OTHER_BAD_PIXEL']\\nDARKS_BAD_PIXEL_TYPES = ['HOT', 'RC', 'OTHER_BAD_PIXEL', 'TELEGRAPH']\\nFLATS_BAD_PIXEL_TYPES = ['DEAD', 'OPEN', 'ADJ_OPEN', 'LOW_QE']\\n\\n# Possible exposure types for dark current data\\nDARK_EXP_TYPES = {'nircam': ['NRC_DARK'],\\n 'niriss': ['NIS_DARK'],\\n 'miri': ['MIR_DARKIMG', 'MIR_DARKMRS', 'MIR_DARKALL'],\\n 'nirspec': ['NRS_DARK'],\\n 'fgs': ['FGS_DARK']}\\n\\n# Dictionary of observing modes available for each instrument\\nDETECTOR_PER_INSTRUMENT = {'miri': ['MIRIFULONG', 'MIRIFUSHORT', 'MIRIMAGE'],\\n 'nircam': ['NRCB4', 'NRCA4', 'NRCA2', 'NRCALONG',\\n 'NRCBLONG', 'NRCB2', 'NRCB3', 'NRCA1',\\n 'NRCA3', 'NRCB1'],\\n 'niriss': ['NIS'],\\n 'nirspec': ['NRS1', 'NRS2'],\\n 'fgs': ['GUIDER1', 'GUIDER2']}\\n\\n# Default time range to use for EDB monitor telemetry plots. The plots will\\n# go from this starting time to the monitor run time, unless otherwise requested.\\nEDB_DEFAULT_PLOT_RANGE = 14 # days.\\n\\nEXP_TYPE_PER_INSTRUMENT = {'fgs': ['FGS_FOCUS', 'FGS_IMAGE', 'FGS_INTFLAT',\\n 'FGS_SKYFLAT', 'FGS_DARK'],\\n 'miri': ['MIR_FLATMRS', 'MIR_MRS', 'MIR_FLATIMAGE',\\n 'MIR_DARK', 'MIR_LYOT', 'MIR_IMAGE',\\n 'MIR_LRS-FIXEDSLIT', 'MIR_LRS-SLITLESS',\\n 'MIR_CORONCAL', 'MIR_4QPM', 'MIR_FLATIMAGE-EXT',\\n 'MIR_TACQ', 'MIR_DARKMRS',\\n 'MIR_DARKIMG', 'MIR_FLATMRS-EXT', 'MIR_TACONFIRM'],\\n 'nircam': ['NRC_LED', 'NRC_DARK', 'NRC_CORON',\\n 'NRC_IMAGE', 'NRC_FOCUS', 'NRC_TSGRISM',\\n 'NRC_TSIMAGE', 'NRC_WFSS', 'NRC_TACQ',\\n 'NRC_TACONFIRM', 'NRC_FLAT', 'NRC_GRISM'],\\n 'niriss': ['NIS_IMAGE', 'NIS_FOCUS', 'NIS_SOSS',\\n 'NIS_AMI', 'NIS_LAMP', 'NIS_WFSS', 'NIS_DARK',\\n 'NIS_EXTCAL', 'NIS_TACONFIRM', 'NIS_TACQ'],\\n 'nirspec': ['NRS_IFU', 'NRS_MSASPEC', 'NRS_BRIGHTOBJ', 'NRS_DARK',\\n 'NRS_AUTOWAVE', 'NRS_LAMP', 'NRS_AUTOFLAT', 'NRS_IMAGE',\\n 'NRS_CONFIRM', 'NRS_FIXEDSLIT', 'NRS_MIMF', 'NRS_FOCUS',\\n 'NRS_TACONFIRM', 'NRS_WATA', 'NRS_MSATA']}\\n\\nEXPTYPES = {\\\"nircam\\\": {\\\"imaging\\\": \\\"NRC_IMAGE\\\", \\\"ts_imaging\\\": \\\"NRC_TSIMAGE\\\",\\n \\\"wfss\\\": \\\"NRC_WFSS\\\", \\\"ts_grism\\\": \\\"NRC_TSGRISM\\\"},\\n \\\"niriss\\\": {\\\"imaging\\\": \\\"NIS_IMAGE\\\", \\\"ami\\\": \\\"NIS_IMAGE\\\",\\n \\\"pom\\\": \\\"NIS_IMAGE\\\", \\\"wfss\\\": \\\"NIS_WFSS\\\"},\\n \\\"fgs\\\": {\\\"imaging\\\": \\\"FGS_IMAGE\\\"}}\\n\\nEXPOSURE_PAGE_SUFFIX_ORDER = ['uncal', 'dark', 'trapsfilled', 'ramp', 'rate', 'rateints', 'fitopt', 'cal', 'calints',\\n 'msa', 'crf', 'crfints', 'bsub', 'bsubints', 'i2d', 's2d', 's3d', 'x1d', 'x1dints',\\n 'cat', 'segm', 'c1d', 'psfstack', 'psfalign', 'psfsub', 'amiavg', 'aminorm', 'ami',\\n 'psf-amiavg', 'phot', 'whtlt', 'wfscmb']\\n\\n# Filename Component Lengths\\nFILE_AC_CAR_ID_LEN = 4\\nFILE_AC_O_ID_LEN = 3\\nFILE_ACT_LEN = 2\\nFILE_DATETIME_LEN = 13\\nFILE_EPOCH_LEN = 1\\nFILE_GUIDESTAR_ATTMPT_LEN_MIN = 1\\nFILE_GUIDESTAR_ATTMPT_LEN_MAX = 3\\nFILE_OBS_LEN = 3\\nFILE_PARALLEL_SEQ_ID_LEN = 1\\nFILE_PROG_ID_LEN = 5\\nFILE_SEG_LEN = 3\\nFILE_SOURCE_ID_LEN = 5\\nFILE_TARG_ID_LEN = 3\\nFILE_VISIT_GRP_LEN = 2\\nFILE_VISIT_LEN = 3\\n\\n# MSA metadata file do not have a standard suffix attached\\nFILETYPE_WO_STANDARD_SUFFIX = 'msa.fits'\\n\\nFLAT_EXP_TYPES = {'nircam': ['NRC_FLAT'],\\n 'niriss': ['NIS_LAMP'],\\n 'miri': ['MIR_FLATIMAGE', 'MIR_FLATMRS'],\\n 'nirspec': ['NRS_AUTOFLAT', 'NRS_LAMP'],\\n 'fgs': ['FGS_INTFLAT']}\\n\\nFILTERS_PER_INSTRUMENT = {'fgs': [],\\n 'miri': ['F1000W', 'F1130W', 'F1280W', 'OPAQUE', 'F2300C', 'F560W', 'P750L',\\n 'F1500W', 'F2550W', 'F770W', 'FLENS', 'FND', 'F2100W', 'F1800W',\\n 'F1550C', 'F1140C', 'F2550WR', 'F1065C'],\\n 'nircam': ['F070W', 'F090W', 'F115W', 'F140M', 'F150W', 'F150W2', 'F182M',\\n 'F187N', 'F200W', 'F210M', 'F212N', 'F250M', 'F277W', 'F300M',\\n 'F322W2', 'F335M', 'F356W', 'F360M', 'F410M', 'F430M', 'F444W',\\n 'F460M', 'F480M'],\\n 'niriss': ['CLEAR', 'F380M', 'F480M', 'GR150R', 'F430M', 'GR150C', 'F444W',\\n 'F356W', 'F277W'],\\n 'nirspec': ['F290LP', 'F170LP', 'OPAQUE', 'F100LP', 'F070LP', 'F140X', 'CLEAR', 'F110W']}\\n\\nFOUR_AMP_SUBARRAYS = ['WFSS128R', 'WFSS64R']\\n\\n# Names of full-frame apertures for all instruments\\nFULL_FRAME_APERTURES = {'NIRCAM': ['NRCA1_FULL', 'NRCA2_FULL', 'NRCA3_FULL', 'NRCA4_FULL',\\n 'NRCA5_FULL', 'NRCB1_FULL', 'NRCB2_FULL', 'NRCB3_FULL',\\n 'NRCB4_FULL', 'NRCB5_FULL'],\\n 'NIRISS': ['NIS_CEN'],\\n 'NIRSPEC': ['NRS1_FULL', 'NRS2_FULL'],\\n 'MIRI': ['MIRIM_FULL'],\\n 'FGS': ['FGS1_FULL', 'FGS2_FULL']\\n }\\n\\n# Possible suffix types for nominal files\\nGENERIC_SUFFIX_TYPES = ['uncal', 'cal', 'rateints', 'rate', 'trapsfilled', 'i2d',\\n 'x1dints', 'x1d', 's2d', 's3d', 'dark', 'crfints',\\n 'crf', 'ramp', 'fitopt', 'bsubints', 'bsub', 'cat', 'segm', 'c1d']\\n\\n# Gratings available for each instrument\\nGRATING_PER_INSTRUMENT = {'fgs': [],\\n 'miri': [],\\n 'nircam': [],\\n 'niriss': [],\\n 'nirspec': ['G140M', 'G235M', 'G395M', 'G140H',\\n 'G235H', 'G395H', 'PRISM']\\n }\\n\\n# Filename extensions for guider data\\nGUIDER_FILENAME_TYPE = ['gs-fg', 'gs-track', 'gs-id', 'gs-acq1', 'gs-acq2']\\n\\n# Possible suffix types for guider exposures\\nGUIDER_SUFFIX_TYPES = ['stream', 'stacked_uncal', 'image_uncal', 'stacked_cal', 'image_cal']\\n\\n# JWQL should ignore some filetypes in the filesystem.\\nIGNORED_SUFFIXES = ['original', 'stream', 'x1d', 'x1dints', 'c1d', 'pre-image']\\n\\n# Instrument monitor database tables\\nINSTRUMENT_MONITOR_DATABASE_TABLES = {\\n 'dark_monitor': ['<instrument>_dark_dark_current', '<instrument>_dark_pixel_stats', '<instrument>_dark_query_history'],\\n 'bad_pixel_monitor': ['<instrument>_bad_pixel_stats', '<instrument>_bad_pixel_query_history'],\\n 'cosmic_ray_monitor': ['<instrument>_cosmic_ray_stats', '<instrument>_cosmic_ray_query_history'],\\n 'msata_monitor': ['<instrument>_ta_stats', '<instrument>_ta_query_history'],\\n 'wata_monitor': ['<instrument>_ta_stats', '<instrument>_ta_query_history']\\n}\\n\\nINSTRUMENT_SERVICE_MATCH = {\\n 'FGS': 'Mast.Jwst.Filtered.Fgs',\\n 'MIRI': 'Mast.Jwst.Filtered.Miri',\\n 'NIRCam': 'Mast.Jwst.Filtered.Nircam',\\n 'NIRISS': 'Mast.Jwst.Filtered.Niriss',\\n 'NIRSpec': 'Mast.Jwst.Filtered.Nirspec'}\\n\\n# JWST data products\\nJWST_DATAPRODUCTS = ['IMAGE', 'SPECTRUM', 'SED', 'TIMESERIES', 'VISIBILITY',\\n 'EVENTLIST', 'CUBE', 'CATALOG', 'ENGINEERING', 'NULL']\\n\\n# Lowercase JWST instrument names\\nJWST_INSTRUMENT_NAMES = sorted(['niriss', 'nircam', 'nirspec', 'miri', 'fgs'])\\n\\n# JWST instrument names with shorthand notation\\nJWST_INSTRUMENT_NAMES_SHORTHAND = {'gui': 'fgs',\\n 'mir': 'miri',\\n 'nis': 'niriss',\\n 'nrc': 'nircam',\\n 'nrs': 'nirspec'}\\n\\n# Mixed case JWST instrument names\\nJWST_INSTRUMENT_NAMES_MIXEDCASE = {'fgs': 'FGS',\\n 'miri': 'MIRI',\\n 'nircam': 'NIRCam',\\n 'niriss': 'NIRISS',\\n 'nirspec': 'NIRSpec'}\\n\\n# Upper case JWST instrument names\\nJWST_INSTRUMENT_NAMES_UPPERCASE = {key: value.upper() for key, value in\\n JWST_INSTRUMENT_NAMES_MIXEDCASE.items()}\\n\\n# Astoquery service string for each JWST instrument\\nJWST_MAST_SERVICES = ['Mast.Jwst.Filtered.{}'.format(value.title()) for value in\\n JWST_INSTRUMENT_NAMES]\\n\\n# Maximum number of records returned by MAST for a single query\\nMAST_QUERY_LIMIT = 500000\\n\\n# Available monitor names and their location for each JWST instrument\\nMONITORS = {\\n 'fgs': [('Bad Pixel Monitor', '/fgs/bad_pixel_monitor'),\\n ('Cosmic Ray Monitor', '#'),\\n ('Dark Current Monitor', '/fgs/dark_monitor'),\\n ('EDB Telemetry Monitor', '/fgs/edb_monitor'),\\n ('Readnoise Monitor', '/fgs/readnoise_monitor')],\\n 'miri': [('Bad Pixel Monitor', '/miri/bad_pixel_monitor'),\\n ('Cosmic Ray Monitor', '#'),\\n ('Dark Current Monitor', '/miri/dark_monitor'),\\n ('EDB Telemetry Monitor', '/miri/edb_monitor'),\\n ('Readnoise Monitor', '/miri/readnoise_monitor')],\\n 'nircam': [('Bad Pixel Monitor', '/nircam/bad_pixel_monitor'),\\n ('Bias Monitor', '/nircam/bias_monitor'),\\n ('Cosmic Ray Monitor', '#'),\\n ('Dark Current Monitor', '/nircam/dark_monitor'),\\n ('EDB Telemetry Monitor', '/nircam/edb_monitor'),\\n ('Readnoise Monitor', '/nircam/readnoise_monitor')],\\n 'niriss': [('Bad Pixel Monitor', '/niriss/bad_pixel_monitor'),\\n ('Bias Monitor', '/niriss/bias_monitor'),\\n ('Cosmic Ray Monitor', '#'),\\n ('Dark Current Monitor', '/niriss/dark_monitor'),\\n ('EDB Telemetry Monitor', '/niriss/edb_monitor'),\\n ('Readnoise Monitor', '/niriss/readnoise_monitor')],\\n 'nirspec': [('Bad Pixel Monitor', '/nirspec/bad_pixel_monitor'),\\n ('Bias Monitor', '/nirspec/bias_monitor'),\\n ('Dark Monitor', '/nirspec/dark_monitor'),\\n ('Cosmic Ray Monitor', '#'),\\n ('EDB Telemetry Monitor', '/nirspec/edb_monitor'),\\n ('MSATA Monitor', '/nirspec/msata_monitor'),\\n ('Readnoise Monitor', '/nirspec/readnoise_monitor'),\\n ('WATA Monitor', '/nirspec/wata_monitor')\\n ]}\\n\\n# Possible suffix types for coronograph exposures\\nNIRCAM_CORONAGRAPHY_SUFFIX_TYPES = ['psfstack', 'psfalign', 'psfsub']\\n\\n# NIRCam subarrays that use four amps for readout\\nNIRCAM_FOUR_AMP_SUBARRAYS = ['WFSS128R', 'WFSS64R']\\n\\n# NIRCam long wavelength detector names\\nNIRCAM_LONGWAVE_DETECTORS = ['NRCA5', 'NRCB5']\\n\\n# NIRCam short wavelength detector names\\nNIRCAM_SHORTWAVE_DETECTORS = ['NRCA1', 'NRCA2', 'NRCA3', 'NRCA4',\\n 'NRCB1', 'NRCB2', 'NRCB3', 'NRCB4']\\n\\n# NIRCam subarrays that use either one or four amps\\nNIRCAM_SUBARRAYS_ONE_OR_FOUR_AMPS = ['SUBGRISMSTRIPE64', 'SUBGRISMSTRIPE128', 'SUBGRISMSTRIPE256']\\n\\n# Possible suffix types for AMI files\\nNIRISS_AMI_SUFFIX_TYPES = ['amiavg', 'aminorm', 'ami', 'psf-amiavg']\\n\\n# Base name for the file listing the preview images for a given instrument.\\n# The complete name will have \\\"_{instrument.lower}.txt\\\" added to the end of this.\\nPREVIEW_IMAGE_LISTFILE = 'preview_image_inventory'\\n\\n# RAPID-style readout patterns for each instrument. Added so we can\\n# differentiate in MAST searches for e.g. the dark current monitor\\nRAPID_READPATTERNS = {'fgs': ['FGSRAPID'],\\n 'miri': ['FAST', 'FASTR1', 'SLOW', 'SLOWR1', 'FASTGRPAVG',\\n 'FASTGRPAVG8', 'FASTGRPAVG16', 'FASTGRPAVG32',\\n 'FASTGRPAVG64', 'FASTR100'],\\n 'nircam': ['RAPID'],\\n 'niriss': ['NISRAPID'],\\n 'nirspec': ['NRSRAPID', 'NRSIRS2RAPID']}\\n\\nREADPATT_PER_INSTRUMENT = {'fgs': ['FGS', 'FGSRAPID', 'FGS60', 'FGS840', 'FGS8370'],\\n 'miri': ['FAST', 'FASTR1', 'SLOW', 'SLOWR1', 'FASTGRPAVG',\\n 'FASTGRPAVG8', 'FASTGRPAVG16', 'FASTGRPAVG32',\\n 'FASTGRPAVG64', 'FASTR100'],\\n 'nircam': ['RAPID', 'SHALLOW2', 'BRIGHT2', 'MEDIUM2', 'SHALLOW4',\\n 'MEDIUM8', 'BRIGHT1', 'DEEP2', 'DEEP8'],\\n 'niriss': ['NISRAPID', 'NIS'],\\n 'nirspec': ['NRS', 'NRSRAPID', 'NRSIRS2RAPID',\\n 'NRSRAPIDD2', 'NRSRAPIDD6']}\\n\\nSUBARRAYS_ONE_OR_FOUR_AMPS = ['SUBGRISMSTRIPE64', 'SUBGRISMSTRIPE128', 'SUBGRISMSTRIPE256']\\n\\n# Filename suffixes that need to include the association value in the suffix in\\n# order to identify the preview image file. This should only be crf and crfints,\\n# since those are essentially level 2 files that are output by the level 3 pipeline.\\nSUFFIXES_TO_ADD_ASSOCIATION = ['crf', 'crfints']\\n\\n# Filename suffixes where data have been averaged over integrations\\nSUFFIXES_WITH_AVERAGED_INTS = ['rate', 'cal', 'crf', 'i2d', 'bsub']\\n\\n# boolean accessed according to a viewed flag\\nTHUMBNAIL_FILTER_LOOK = ['New', 'Viewed']\\n\\n# Base name for the file listing the thumbnail images for a given instrument.\\n# The complete name will have \\\"_{instrument.lower}.txt\\\" added to the end of this.\\nTHUMBNAIL_LISTFILE = 'thumbnail_inventory'\\n\\n# Possible suffix types for time-series exposures\\nTIME_SERIES_SUFFIX_TYPES = ['phot', 'whtlt']\\n\\n# Possible suffix types for WFS&C files\\nWFSC_SUFFIX_TYPES = ['wfscmb']\\n\\n# Concatenate all suffix types (ordered to ensure successful matching)\\nFILE_SUFFIX_TYPES = GUIDER_SUFFIX_TYPES + GENERIC_SUFFIX_TYPES + \\\\\\n TIME_SERIES_SUFFIX_TYPES + NIRCAM_CORONAGRAPHY_SUFFIX_TYPES + \\\\\\n NIRISS_AMI_SUFFIX_TYPES + WFSC_SUFFIX_TYPES\\n\\n# Instrument Documentation Links\\nURL_DICT = {'fgs': 'https://jwst-docs.stsci.edu/jwst-observatory-hardware/jwst-fine-guidance-sensor',\\n 'miri': 'https://jwst-docs.stsci.edu/jwst-mid-infrared-instrument',\\n 'niriss': 'https://jwst-docs.stsci.edu/jwst-near-infrared-imager-and-slitless-spectrograph',\\n 'nirspec': 'https://jwst-docs.stsci.edu/jwst-near-infrared-spectrograph',\\n 'nircam': 'https://jwst-docs.stsci.edu/jwst-near-infrared-camera'}\\n\",\n \"path\": \"jwql/utils/constants.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/jwql/utils/constants.py b/jwql/utils/constants.py\nindex 4388a8f7c..edbb08cb7 100644\n--- a/jwql/utils/constants.py\n+++ b/jwql/utils/constants.py\n@@ -80,7 +80,10 @@\n 'row_pull_down': ['miri'],\n 'LRS_Contamination': ['miri'],\n 'tree_rings': ['miri'],\n- 'scattered_light': ['niriss'],\n+ 'scattered_light': ['niriss', 'nircam'],\n+ 'claws': ['nircam'],\n+ 'wisps': ['nircam'],\n+ 'tilt_event': ['nircam'],\n 'light_saber': ['niriss'],\n # additional anomalies:\n 'other': ['fgs', 'miri', 'nircam', 'niriss', 'nirspec']}\n"}}},{"rowIdx":6580,"cells":{"in_source_id":{"kind":"string","value":"e-valuation__EvaP-1353"},"issue":{"kind":"string","value":"Importing a backup made by update_production.sh does not work flawlessly.\nLast week we wanted to do a production update. The json dump file created during that update could not be imported without issues:\r\n- The dump does not contain the cronjob user, but foreign key references to it. This can not be imported\r\n- The dump contains data included by django by default (auth, permission, ...). These need to be excluded when importing.\r\n\r\nThere should be some kind of documentation on what needs to be executed to import this dump back into the database. We should also add some test (could probably just run on travis) that ensures this always works (dump, flush database, migrate, load dump).\n"},"before_files":{"kind":"list like","value":[{"content":"import os\n\nfrom django.conf import settings\nfrom django.core.management.base import BaseCommand\nfrom django.core.management import call_command\n\n\nclass Command(BaseCommand):\n args = ''\n help = 'Dumps all relevant contents of the database into test_data.json.'\n requires_migrations_checks = True\n\n def handle(self, *args, **options):\n outfile_name = os.path.join(settings.BASE_DIR, \"evaluation\", \"fixtures\", \"test_data.json\")\n call_command(\"dumpdata\", \"auth.group\", \"evaluation\", \"rewards\", \"grades\", indent=2, output=outfile_name)\n","path":"evap/evaluation/management/commands/dump_testdata.py"}],"string":"[\n {\n \"content\": \"import os\\n\\nfrom django.conf import settings\\nfrom django.core.management.base import BaseCommand\\nfrom django.core.management import call_command\\n\\n\\nclass Command(BaseCommand):\\n args = ''\\n help = 'Dumps all relevant contents of the database into test_data.json.'\\n requires_migrations_checks = True\\n\\n def handle(self, *args, **options):\\n outfile_name = os.path.join(settings.BASE_DIR, \\\"evaluation\\\", \\\"fixtures\\\", \\\"test_data.json\\\")\\n call_command(\\\"dumpdata\\\", \\\"auth.group\\\", \\\"evaluation\\\", \\\"rewards\\\", \\\"grades\\\", indent=2, output=outfile_name)\\n\",\n \"path\": \"evap/evaluation/management/commands/dump_testdata.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"import os\n\nfrom django.conf import settings\nfrom django.core.management.base import BaseCommand\nfrom django.core.management import call_command\n\n\nclass Command(BaseCommand):\n args = ''\n help = 'Dumps all relevant contents of the database into test_data.json.'\n requires_migrations_checks = True\n\n def handle(self, *args, **options):\n outfile_name = os.path.join(settings.BASE_DIR, \"evaluation\", \"fixtures\", \"test_data.json\")\n call_command(\n \"dumpdata\", \"auth.group\", \"evaluation\", \"rewards\", \"grades\", indent=2,\n output=outfile_name, natural_foreign=True, natural_primary=True)\n","path":"evap/evaluation/management/commands/dump_testdata.py"}],"string":"[\n {\n \"content\": \"import os\\n\\nfrom django.conf import settings\\nfrom django.core.management.base import BaseCommand\\nfrom django.core.management import call_command\\n\\n\\nclass Command(BaseCommand):\\n args = ''\\n help = 'Dumps all relevant contents of the database into test_data.json.'\\n requires_migrations_checks = True\\n\\n def handle(self, *args, **options):\\n outfile_name = os.path.join(settings.BASE_DIR, \\\"evaluation\\\", \\\"fixtures\\\", \\\"test_data.json\\\")\\n call_command(\\n \\\"dumpdata\\\", \\\"auth.group\\\", \\\"evaluation\\\", \\\"rewards\\\", \\\"grades\\\", indent=2,\\n output=outfile_name, natural_foreign=True, natural_primary=True)\\n\",\n \"path\": \"evap/evaluation/management/commands/dump_testdata.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/.travis.yml b/.travis.yml\nindex d231f07852..827e14d77b 100644\n--- a/.travis.yml\n+++ b/.travis.yml\n@@ -1,13 +1,14 @@\n language: python\n python: \"3.7\"\n dist: xenial\n-sudo: false\n+sudo: required\n cache:\n directories:\n - $HOME/.cache/pip\n \n services:\n-- postgresql\n+ - postgresql\n+ - redis-server\n before_script:\n - psql -c 'create database evap;' -U postgres\n install:\n@@ -18,5 +19,10 @@ script:\n - python manage.py test --keepdb evap.evaluation.tests.test_misc.TestDataTest.load_test_data\n - python manage.py test --keepdb --reverse\n - python manage.py test --keepdb --debug-mode\n+ # create a backup and load it again\n+ - python manage.py migrate\n+ - python manage.py loaddata test_data\n+ - EVAP_OVERRIDE_BACKUP_FILENAME=true EVAP_SKIP_CHECKOUT=true EVAP_RUNNING_INSIDE_TRAVIS=true deployment/update_production.sh backup.json\n+ - echo \"yy\" | EVAP_RUNNING_INSIDE_TRAVIS=true deployment/load_production_backup.sh backup.json\n after_success:\n - coveralls\ndiff --git a/Vagrantfile b/Vagrantfile\nindex bc5b79422a..2ff263702e 100644\n--- a/Vagrantfile\n+++ b/Vagrantfile\n@@ -5,7 +5,7 @@ Vagrant.require_version \">= 1.8.1\"\n \n Vagrant.configure(\"2\") do |config|\n config.vm.box = \"ubuntu/bionic64\"\n- config.vm.box_version = \"= 20190112.0.0 \"\n+ config.vm.box_version = \"= 20190621.0.0 \"\n \n # port forwarding\n config.vm.network :forwarded_port, guest: 8000, host: 8000 # django server\n@@ -24,5 +24,16 @@ Vagrant.configure(\"2\") do |config|\n #v.gui = true\n end\n \n+ # override username to be evap instead of vagrant, just as it is on production.\n+ # This is necessary so management script can assume evap is the correct user to\n+ # execute stuff as.\n+ # Mounting with uid and gid is necessary as the provision script will create\n+ # this user, so mounting before does not work with an owner specified by name.\n+ # Also, provision needs to use vagrant as ssh user (since evap does not exist yet)\n+ config.vm.synced_folder \".\", \"/evap\", mount_options: [\"uid=1042\", \"gid=1042\"]\n+ if ARGV[0] == \"ssh\"\n+ config.ssh.username = 'evap'\n+ end\n+\n config.vm.provision \"shell\", path: \"deployment/provision_vagrant_vm.sh\"\n end\ndiff --git a/deployment/load_production_backup.sh b/deployment/load_production_backup.sh\nnew file mode 100755\nindex 0000000000..499cc41a93\n--- /dev/null\n+++ b/deployment/load_production_backup.sh\n@@ -0,0 +1,67 @@\n+#!/bin/bash\n+\n+# Counter part for update_production script.\n+# This script will import the backup made by update_production.\n+\n+set -e # abort on error\n+cd $(dirname $0)/.. # change to root directory\n+\n+USERNAME=\"evap\"\n+ENVDIR=\"/home/evap/env\"\n+ADDITIONAL_ARGUMENTS=\"\"\n+[[ ! -z \"$EVAP_RUNNING_INSIDE_TRAVIS\" ]] && echo \"Detected travis\" && USERNAME=\"travis\" && ENVDIR=~/virtualenv/python3.7 && ADDITIONAL_ARGUMENTS=\" --noinput\"\n+\n+COMMIT_HASH=\"$(git rev-parse --short HEAD)\"\n+\n+# argument 1 is the filename for the backupfile.\n+if [ ! $# -eq 1 ] # if there is exactly one argument\n+ then\n+ echo \"Please specify a backup file to import as command line argument.\"\n+ exit\n+fi\n+\n+# Check if commit hash is in file name. Ask for confirmation if its not there.\n+if [[ ! $1 =~ ${COMMIT_HASH} ]]\n+then\n+ echo \"Looks like the backup was made on another commit. Currently, you are on ${COMMIT_HASH}.\"\n+ read -p \"Do you want to continue [y]? \" -n 1 -r\n+ echo\n+\n+ if [[ ! $REPLY =~ ^[Yy]$ ]]\n+ then\n+ exit 1\n+ fi\n+fi\n+\n+echo \"WARNING! This will cause IRREPARABLE DATA LOSS.\"\n+read -p \"Are you sure you want to continue [y]? \" -n 1 -r\n+echo\n+if [[ ! $REPLY =~ ^[Yy]$ ]]\n+then\n+ exit 1\n+fi\n+\n+[[ -z \"$EVAP_RUNNING_INSIDE_TRAVIS\" ]] && sudo service apache2 stop\n+\n+sudo -H -u $USERNAME $ENVDIR/bin/pip install -r requirements.txt\n+\n+# compilemessages and compress regularly fail without any real issue.\n+sudo -H -u $USERNAME $ENVDIR/bin/python manage.py compilemessages || true\n+sudo -H -u $USERNAME $ENVDIR/bin/python manage.py collectstatic --noinput\n+sudo -H -u $USERNAME $ENVDIR/bin/python manage.py compress --verbosity=0 || true\n+\n+sudo -H -u $USERNAME $ENVDIR/bin/python manage.py reset_db $ADDITIONAL_ARGUMENTS\n+sudo -H -u $USERNAME $ENVDIR/bin/python manage.py migrate\n+sudo -H -u $USERNAME $ENVDIR/bin/python manage.py flush $ADDITIONAL_ARGUMENTS\n+sudo -H -u $USERNAME $ENVDIR/bin/python manage.py loaddata $1\n+\n+sudo -H -u $USERNAME $ENVDIR/bin/python manage.py clear_cache\n+sudo -H -u $USERNAME $ENVDIR/bin/python manage.py refresh_results_cache\n+\n+sudo -H -u $USERNAME $ENVDIR/bin/python manage.py clear_cache --cache=sessions\n+\n+[[ -z \"$EVAP_RUNNING_INSIDE_TRAVIS\" ]] && sudo service apache2 start\n+\n+{ set +x; } 2>/dev/null # don't print the echo command, and don't print the 'set +x' itself\n+\n+echo \"Backup restored.\"\ndiff --git a/deployment/provision_vagrant_vm.sh b/deployment/provision_vagrant_vm.sh\nindex bb6a6e39f0..b34cc2b378 100644\n--- a/deployment/provision_vagrant_vm.sh\n+++ b/deployment/provision_vagrant_vm.sh\n@@ -1,5 +1,11 @@\n set -x # print executed commands\n \n+USER=\"evap\"\n+REPO_FOLDER=\"/home/$USER/evap\"\n+\n+# force apt to not ask, just do defaults.\n+export DEBIAN_FRONTEND=noninteractive\n+\n # install python stuff\n apt-get -q update\n apt-get -q install -y python3.7 python3.7-dev python3.7-venv python3-pip gettext\n@@ -21,16 +27,27 @@ apt-get -q install -y redis-server\n # install apache\n apt-get -q install -y apache2 apache2-dev\n \n+# make user, create home folder, set uid to the same set in the Vagrantfile (required for becoming the synced folder owner), set default shell to bash\n+sudo useradd -m -u 1042 -s /bin/bash evap\n+# allow ssh login\n+sudo cp -r /home/vagrant/.ssh /home/$USER/.ssh\n+sudo chown -R $USER:$USER /home/$USER/.ssh\n+# allow sudo without password\n+echo \"$USER ALL=(ALL) NOPASSWD:ALL\" | sudo tee /etc/sudoers.d/evap\n+\n+# link the mounted evap folder from the home directory\n+ln -s /evap /home/evap/evap\n+\n # setup virtualenv and mod_wsgi\n-sudo -H -u vagrant python3.7 -m venv /home/vagrant/venvs/env\n-sudo -H -u vagrant /home/vagrant/venvs/env/bin/pip install wheel # required, otherwise following installs fail\n-sudo -H -u vagrant /home/vagrant/venvs/env/bin/pip install mod_wsgi\n+sudo -H -u $USER python3.7 -m venv /home/$USER/env\n+sudo -H -u $USER /home/$USER/env/bin/pip install wheel # required, otherwise following installs fail\n+sudo -H -u $USER /home/$USER/env/bin/pip install mod_wsgi\n \n # setup apache\n a2enmod expires\n-cp /vagrant/deployment/wsgi.template.conf /etc/apache2/mods-available/wsgi.load\n+cp $REPO_FOLDER/deployment/wsgi.template.conf /etc/apache2/mods-available/wsgi.load\n a2enmod wsgi\n-cp /vagrant/deployment/apache.template.conf /etc/apache2/sites-available/evap.conf\n+cp $REPO_FOLDER/deployment/apache.template.conf /etc/apache2/sites-available/evap.conf\n a2ensite evap.conf\n a2dissite 000-default.conf\n # this comments in some line in some apache config file to fix the locale.\n@@ -39,25 +56,25 @@ a2dissite 000-default.conf\n sed -i s,\\#.\\ /etc/default/locale,.\\ /etc/default/locale,g /etc/apache2/envvars\n systemctl reload apache2\n \n-# auto cd into /vagrant on login and activate venv\n-echo \"cd /vagrant\" >> /home/vagrant/.bashrc\n-echo \"source /home/vagrant/venvs/env/bin/activate\" >> /home/vagrant/.bashrc\n+# auto cd into /$USER on login and activate venv\n+echo \"cd $REPO_FOLDER\" >> /home/$USER/.bashrc\n+echo \"source /home/$USER/env/bin/activate\" >> /home/$USER/.bashrc\n \n # install requirements\n-sudo -H -u vagrant /home/vagrant/venvs/env/bin/pip install -r /vagrant/requirements-dev.txt\n+sudo -H -u $USER /home/$USER/env/bin/pip install -r $REPO_FOLDER/requirements-dev.txt\n \n # deploy localsettings and insert random key\n-cp /vagrant/deployment/localsettings.template.py /vagrant/evap/localsettings.py\n-sed -i -e \"s/\\${SECRET_KEY}/`sudo head /dev/urandom | tr -dc A-Za-z0-9 | head -c 32`/\" /vagrant/evap/localsettings.py\n+cp $REPO_FOLDER/deployment/localsettings.template.py $REPO_FOLDER/evap/localsettings.py\n+sed -i -e \"s/\\${SECRET_KEY}/$(sudo head /dev/urandom | tr -dc A-Za-z0-9 | head -c 32)/\" $REPO_FOLDER/evap/localsettings.py\n \n # setup vm auto-completion\n sudo cp /vagrant/deployment/manage_autocompletion.sh /etc/bash_completion.d/\n \n # setup evap\n-cd /vagrant\n+cd /$USER\n git submodule update --init\n-sudo -H -u vagrant /home/vagrant/venvs/env/bin/python manage.py migrate --noinput\n-sudo -H -u vagrant /home/vagrant/venvs/env/bin/python manage.py collectstatic --noinput\n-sudo -H -u vagrant /home/vagrant/venvs/env/bin/python manage.py compilemessages\n-sudo -H -u vagrant /home/vagrant/venvs/env/bin/python manage.py loaddata test_data.json\n-sudo -H -u vagrant /home/vagrant/venvs/env/bin/python manage.py refresh_results_cache\n+sudo -H -u $USER /home/$USER/env/bin/python manage.py migrate --noinput\n+sudo -H -u $USER /home/$USER/env/bin/python manage.py collectstatic --noinput\n+sudo -H -u $USER /home/$USER/env/bin/python manage.py compilemessages\n+sudo -H -u $USER /home/$USER/env/bin/python manage.py loaddata test_data.json\n+sudo -H -u $USER /home/$USER/env/bin/python manage.py refresh_results_cache\ndiff --git a/deployment/update_production.sh b/deployment/update_production.sh\nindex b7f3404143..fd8b624a77 100755\n--- a/deployment/update_production.sh\n+++ b/deployment/update_production.sh\n@@ -1,37 +1,58 @@\n #!/bin/bash\n set -e # abort on error\n-cd `dirname $0`/.. # change to root directory\n+cd `dirname $0`/.. # change to project root directory\n \n-sudo -H -u evap git fetch\n+echo $PWD\n+\n+# used for constructing the backup file name\n+COMMIT_HASH=\"$(git rev-parse --short HEAD)\"\n+BACKUP_TITLE=\"backup\"\n+TIMESTAMP=\"$(date +%Y-%m-%d_%H:%M:%S)\"\n+\n+USERNAME=\"evap\"\n+ENVDIR=\"/home/evap/env\"\n+[[ ! -z \"$EVAP_RUNNING_INSIDE_TRAVIS\" ]] && echo \"Detected travis\" && USERNAME=\"travis\" && ENVDIR=~/virtualenv/python3.7\n+\n+# argument 1 is the title for the backupfile.\n+if [ $# -eq 1 ]\n+ then\n+ BACKUP_TITLE=$1\n+fi\n+\n+FILENAME=\"${TIMESTAMP}_${COMMIT_HASH}_${BACKUP_TITLE}.json\"\n+\n+[[ -z \"$EVAP_OVERRIDE_BACKUP_FILENAME\" ]] && echo \"Overriding Automatic Filename\"\n+[[ -z \"$EVAP_OVERRIDE_BACKUP_FILENAME\" ]] || FILENAME=\"${BACKUP_TITLE}\"\n+\n+echo \"Backup will be stored in $FILENAME\"\n+echo \"Starting update...\"\n+\n+set -x # print executed commands. enable this here to not print the if above.\n+\n+sudo -H -u $USERNAME git fetch\n \n # Note that apache should not be running during most of the upgrade,\n # since then e.g. the backup might be incomplete or the code does not\n # match the database layout, or https://github.com/fsr-de/EvaP/issues/1237.\n-sudo service apache2 stop\n+[[ -z \"$EVAP_RUNNING_INSIDE_TRAVIS\" ]] && sudo service apache2 stop\n \n-# argument 1 is the filename for the backupfile.\n-# if no argument is present, no backup will be created.\n-if [ $# -eq 1 ] # if there is exactly one argument\n- then\n- echo Creating backup.\n- set -x # print executed commands. enable this here to not print the if above.\n- sudo -H -u evap env/bin/python manage.py dumpdata --indent 2 --output $1\n- else\n- echo No backup file specified, skipping backup creation.\n- set -x # print executed commands\n-fi\n+sudo -H -u $USERNAME $ENVDIR/bin/python manage.py dumpdata --natural-foreign --natural-primary --all -e contenttypes -e auth.Permission --indent 2 --output $FILENAME\n+\n+[[ ! -z \"$EVAP_SKIP_CHECKOUT\" ]] && echo \"Skipping Checkout\"\n+[[ ! -z \"$EVAP_SKIP_CHECKOUT\" ]] || sudo -H -u $USERNAME git checkout origin/release\n \n-sudo -H -u evap git checkout origin/release\n-sudo -H -u evap env/bin/pip install -r requirements.txt\n-sudo -H -u evap env/bin/python manage.py compilemessages\n-sudo -H -u evap env/bin/python manage.py collectstatic --noinput\n-sudo -H -u evap env/bin/python manage.py compress --verbosity=0\n-sudo -H -u evap env/bin/python manage.py migrate\n-sudo -H -u evap env/bin/python manage.py clear_cache\n-sudo -H -u evap env/bin/python manage.py refresh_results_cache\n+sudo -H -u $USERNAME $ENVDIR/bin/pip install -r requirements.txt\n+# sometimes, this fails for some random i18n test translation files.\n+sudo -H -u $USERNAME $ENVDIR/bin/python manage.py compilemessages || true\n+sudo -H -u $USERNAME $ENVDIR/bin/python manage.py collectstatic --noinput\n+# this fails if debug is set\n+sudo -H -u $USERNAME $ENVDIR/bin/python manage.py compress --verbosity=0 || true\n+sudo -H -u $USERNAME $ENVDIR/bin/python manage.py migrate\n+sudo -H -u $USERNAME $ENVDIR/bin/python manage.py clear_cache\n+sudo -H -u $USERNAME $ENVDIR/bin/python manage.py refresh_results_cache\n \n-sudo service apache2 start\n+[[ -z \"$EVAP_RUNNING_INSIDE_TRAVIS\" ]] && sudo service apache2 start\n \n { set +x; } 2>/dev/null # don't print the echo command, and don't print the 'set +x' itself\n \n-echo Update completed.\n+echo \"Update completed.\"\ndiff --git a/evap/evaluation/fixtures/test_data.json b/evap/evaluation/fixtures/test_data.json\nindex 799e4bb2fe..7f1615c76c 100644\n--- a/evap/evaluation/fixtures/test_data.json\n+++ b/evap/evaluation/fixtures/test_data.json\n@@ -1,7 +1,6 @@\n [\n {\n \"model\": \"auth.group\",\n- \"pk\": 1,\n \"fields\": {\n \"name\": \"Manager\",\n \"permissions\": []\n@@ -9,7 +8,6 @@\n },\n {\n \"model\": \"auth.group\",\n- \"pk\": 2,\n \"fields\": {\n \"name\": \"Reviewer\",\n \"permissions\": []\n@@ -17,7 +15,6 @@\n },\n {\n \"model\": \"auth.group\",\n- \"pk\": 3,\n \"fields\": {\n \"name\": \"Grade publisher\",\n \"permissions\": []\n@@ -107809,7 +107806,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-11-28T22:41:00.677\",\n@@ -107832,7 +107828,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-03-04T07:06:22.286\",\n@@ -107855,7 +107850,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 3,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-14T15:17:07.088\",\n@@ -107878,7 +107872,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 4,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-13T01:23:38\",\n@@ -107901,7 +107894,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 6,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.138\",\n@@ -107924,7 +107916,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 7,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.143\",\n@@ -107947,7 +107938,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 8,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.147\",\n@@ -107970,7 +107960,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 10,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.157\",\n@@ -107993,7 +107982,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 11,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.162\",\n@@ -108016,7 +108004,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 13,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-25T10:42:22.650\",\n@@ -108039,7 +108026,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 14,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-23T08:25:52.643\",\n@@ -108062,7 +108048,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 15,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.181\",\n@@ -108085,7 +108070,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 16,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-22T13:20:12.139\",\n@@ -108108,7 +108092,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 18,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-07T15:08:42.080\",\n@@ -108131,7 +108114,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 19,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.200\",\n@@ -108154,7 +108136,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 24,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-12T11:22:24.996\",\n@@ -108177,7 +108158,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 25,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-13T09:26:24.179\",\n@@ -108200,7 +108180,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 27,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.239\",\n@@ -108223,7 +108202,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 28,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T16:07:06.040\",\n@@ -108246,7 +108224,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 30,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-11-22T16:37:26.406\",\n@@ -108269,7 +108246,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 32,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.262\",\n@@ -108292,7 +108268,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 33,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-02T13:46:51.253\",\n@@ -108315,7 +108290,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 36,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.281\",\n@@ -108338,7 +108312,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 39,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-30T20:09:05.105\",\n@@ -108361,7 +108334,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 40,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T23:17:23.356\",\n@@ -108384,7 +108356,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 41,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-18T20:29:13.939\",\n@@ -108407,7 +108378,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 43,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.317\",\n@@ -108430,7 +108400,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 44,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-03-30T18:44:43.969\",\n@@ -108453,7 +108422,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 47,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.338\",\n@@ -108476,7 +108444,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 49,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T15:22:45.941\",\n@@ -108499,7 +108466,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 51,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-28T12:59:20.141\",\n@@ -108522,7 +108488,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 52,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-02T15:19:01.008\",\n@@ -108545,7 +108510,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 53,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.367\",\n@@ -108568,7 +108532,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 55,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.377\",\n@@ -108591,7 +108554,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 56,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.382\",\n@@ -108614,7 +108576,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 59,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.396\",\n@@ -108637,7 +108598,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 60,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-09T11:17:34.455\",\n@@ -108660,7 +108620,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 61,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-02T13:49:42.939\",\n@@ -108683,7 +108642,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 63,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.415\",\n@@ -108706,7 +108664,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 64,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.420\",\n@@ -108729,7 +108686,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 65,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-11-22T16:36:45.099\",\n@@ -108752,7 +108708,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 69,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T16:15:33.557\",\n@@ -108775,7 +108730,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 71,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-04-05T08:28:44.887\",\n@@ -108798,7 +108752,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 74,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-01T11:36:03.558\",\n@@ -108821,7 +108774,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 75,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.475\",\n@@ -108844,7 +108796,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 77,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.485\",\n@@ -108867,7 +108818,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 79,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-03-03T12:00:50.914\",\n@@ -108890,7 +108840,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 80,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-18T21:29:51.683\",\n@@ -108913,7 +108862,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 84,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.521\",\n@@ -108936,7 +108884,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 85,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.526\",\n@@ -108959,7 +108906,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 88,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.540\",\n@@ -108982,7 +108928,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 89,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-02T15:42:43.850\",\n@@ -109005,7 +108950,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 91,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.555\",\n@@ -109028,7 +108972,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 92,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:46.560\",\n@@ -109051,7 +108994,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 93,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-11-26T11:55:18.316\",\n@@ -109074,7 +109016,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 98,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:53.825\",\n@@ -109097,7 +109038,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 99,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-24T00:08:14.535\",\n@@ -109120,7 +109060,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 103,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:53.848\",\n@@ -109143,7 +109082,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 105,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:53.858\",\n@@ -109166,7 +109104,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 106,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-18T21:33:11.053\",\n@@ -109189,7 +109126,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 107,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:53.869\",\n@@ -109212,7 +109148,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 111,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:53.888\",\n@@ -109235,7 +109170,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 112,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:53.897\",\n@@ -109258,7 +109192,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 113,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:53.901\",\n@@ -109281,7 +109214,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 115,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T16:59:53.911\",\n@@ -109304,7 +109236,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 116,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-07T14:28:32.793\",\n@@ -109327,7 +109258,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 120,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-08T12:55:29.453\",\n@@ -109350,7 +109280,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 122,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:02.340\",\n@@ -109373,7 +109302,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 125,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:02.933\",\n@@ -109396,7 +109324,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 127,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-02T13:51:03.991\",\n@@ -109414,17 +109341,24 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 2143,\n- 169,\n- 14,\n- 18\n+ [\n+ \"val.crocker.ext\"\n+ ],\n+ [\n+ \"hue.fontenot.ext\"\n+ ],\n+ [\n+ \"willena.hemphill\"\n+ ],\n+ [\n+ \"sergio.reichert.ext\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 134,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:11.313\",\n@@ -109447,7 +109381,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 135,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:11.321\",\n@@ -109470,7 +109403,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 140,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-08T14:50:24.419\",\n@@ -109493,7 +109425,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 141,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-11-02T10:53:23.655\",\n@@ -109516,7 +109447,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 145,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-10T13:03:18.412\",\n@@ -109539,7 +109469,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 146,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:11.372\",\n@@ -109562,7 +109491,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 149,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:11.386\",\n@@ -109585,7 +109513,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 151,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:11.396\",\n@@ -109608,7 +109535,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 152,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:11.400\",\n@@ -109631,7 +109557,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 155,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:11.417\",\n@@ -109654,7 +109579,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 156,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:11.421\",\n@@ -109677,7 +109601,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 159,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:11.436\",\n@@ -109700,7 +109623,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 160,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:11.440\",\n@@ -109723,7 +109645,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 161,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-04-25T15:41:02.977\",\n@@ -109746,7 +109667,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 167,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:11.471\",\n@@ -109769,7 +109689,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 168,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:11.476\",\n@@ -109792,7 +109711,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 169,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-24T14:51:25.860\",\n@@ -109815,7 +109733,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 170,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:11.484\",\n@@ -109838,7 +109755,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 173,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-31T09:05:09.526\",\n@@ -109861,7 +109777,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 174,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-10T15:15:03.398\",\n@@ -109884,7 +109799,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 178,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-16T14:08:53.821\",\n@@ -109907,7 +109821,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 180,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:16.101\",\n@@ -109930,7 +109843,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 181,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-08T08:44:34.568\",\n@@ -109953,7 +109865,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 182,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:16.110\",\n@@ -109976,7 +109887,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 184,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-01-18T16:39:13.623\",\n@@ -109999,7 +109909,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 186,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:16.229\",\n@@ -110022,7 +109931,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 191,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-05T09:17:42.420\",\n@@ -110045,7 +109953,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 192,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-12-17T13:59:04.698\",\n@@ -110068,7 +109975,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 197,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:17.058\",\n@@ -110091,7 +109997,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 200,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-16T14:09:00.405\",\n@@ -110114,7 +110019,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 201,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:17.091\",\n@@ -110137,7 +110041,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 202,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:17.098\",\n@@ -110160,7 +110063,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 204,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-14T14:18:59.405\",\n@@ -110178,14 +110080,15 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 181\n+ [\n+ \"denisha.chance\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 205,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:22.769\",\n@@ -110208,7 +110111,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 207,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-23T11:31:00.867\",\n@@ -110226,14 +110128,15 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 484\n+ [\n+ \"harriet.rushing\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 208,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-13T07:24:33.096\",\n@@ -110256,7 +110159,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 210,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:23.106\",\n@@ -110279,7 +110181,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 212,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:23.406\",\n@@ -110302,7 +110203,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 214,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:27.512\",\n@@ -110325,7 +110225,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 217,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-31T09:41:52.662\",\n@@ -110348,7 +110247,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 219,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:27.558\",\n@@ -110371,7 +110269,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 221,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:27.674\",\n@@ -110394,7 +110291,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 222,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-31T09:25:26.263\",\n@@ -110412,15 +110308,18 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 419,\n- 1125\n+ [\n+ \"tonita.gallardo\"\n+ ],\n+ [\n+ \"elias.troy\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 228,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:29.850\",\n@@ -110443,7 +110342,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 229,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:29.856\",\n@@ -110466,7 +110364,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 232,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-05-03T18:45:59.229\",\n@@ -110489,7 +110386,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 234,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-23T09:38:18.308\",\n@@ -110507,16 +110403,19 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 318\n+ [\n+ \"laurence.tipton\"\n+ ]\n ],\n \"cc_users\": [\n- 2359\n+ [\n+ \"katheryn.greiner\"\n+ ]\n ]\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 236,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T20:53:56.568\",\n@@ -110534,14 +110433,15 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 408\n+ [\n+ \"britteny.easley\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 237,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:35.883\",\n@@ -110564,7 +110464,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 239,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:36.305\",\n@@ -110587,7 +110486,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 240,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:36.310\",\n@@ -110610,7 +110508,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 241,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:00:36.352\",\n@@ -110633,7 +110530,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 249,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-13T15:15:20.699\",\n@@ -110651,14 +110547,15 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 2217\n+ [\n+ \"nicholle.boyce\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 251,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-02T10:30:52.845\",\n@@ -110676,15 +110573,18 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 965,\n- 945\n+ [\n+ \"tracie.shephard.ext\"\n+ ],\n+ [\n+ \"lakisha.tisdale.ext\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 255,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$20000$WYMx4NnprgNS$D7foSqb66b1TSi9a1CZRHA2MNXyeSRT/nmcDGXEGvkk=\",\n \"last_login\": \"2015-11-08T12:21:35.100\",\n@@ -110702,15 +110602,18 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 482,\n- 591\n+ [\n+ \"kyra.hart\"\n+ ],\n+ [\n+ \"delegate\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 260,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:05.685\",\n@@ -110733,7 +110636,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 264,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:07.988\",\n@@ -110756,7 +110658,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 266,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:07.996\",\n@@ -110779,7 +110680,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 267,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-21T15:59:05.727\",\n@@ -110802,7 +110702,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 270,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:08.015\",\n@@ -110825,7 +110724,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 272,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:08.024\",\n@@ -110848,7 +110746,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 274,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-03-16T11:54:45.439\",\n@@ -110871,7 +110768,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 275,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:08.037\",\n@@ -110894,7 +110790,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 276,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:08.042\",\n@@ -110917,7 +110812,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 277,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:09.026\",\n@@ -110940,7 +110834,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 280,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T16:22:35.918\",\n@@ -110963,7 +110856,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 281,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:09.052\",\n@@ -110986,7 +110878,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 282,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:09.058\",\n@@ -111009,7 +110900,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 283,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-19T13:57:42.796\",\n@@ -111027,15 +110917,18 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 2217,\n- 249\n+ [\n+ \"nicholle.boyce\"\n+ ],\n+ [\n+ \"sunni.hollingsworth\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 284,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:09.147\",\n@@ -111058,7 +110951,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 286,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-18T19:17:21.456\",\n@@ -111081,7 +110973,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 289,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:09.673\",\n@@ -111104,7 +110995,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 292,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:11.045\",\n@@ -111127,7 +111017,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 293,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:11.292\",\n@@ -111150,7 +111039,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 295,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:13.558\",\n@@ -111173,7 +111061,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 296,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-11T10:45:55.678\",\n@@ -111196,7 +111083,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 300,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:14.067\",\n@@ -111214,14 +111100,15 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 484\n+ [\n+ \"harriet.rushing\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 304,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:14.714\",\n@@ -111244,7 +111131,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 310,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T16:59:12.204\",\n@@ -111262,15 +111148,18 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 2217,\n- 249\n+ [\n+ \"nicholle.boyce\"\n+ ],\n+ [\n+ \"sunni.hollingsworth\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 313,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:15.916\",\n@@ -111293,7 +111182,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 317,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:17.316\",\n@@ -111316,7 +111204,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 318,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-24T12:36:26.705\",\n@@ -111339,7 +111226,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 321,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:46.857\",\n@@ -111362,7 +111248,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 322,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:46.864\",\n@@ -111385,7 +111270,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 323,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-05-07T18:42:15.184\",\n@@ -111408,7 +111292,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 324,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:46.874\",\n@@ -111431,7 +111314,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 325,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:46.950\",\n@@ -111454,7 +111336,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 326,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-04-02T17:52:02.729\",\n@@ -111477,7 +111358,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 329,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:47.847\",\n@@ -111500,7 +111380,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 330,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T18:29:04.997\",\n@@ -111523,7 +111402,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 331,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:47.859\",\n@@ -111546,7 +111424,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 333,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:47.869\",\n@@ -111569,7 +111446,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 341,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:48.847\",\n@@ -111592,7 +111468,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 344,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:48.936\",\n@@ -111615,7 +111490,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 346,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:49.845\",\n@@ -111638,7 +111512,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 350,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:50.704\",\n@@ -111661,7 +111534,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 358,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:52.181\",\n@@ -111684,7 +111556,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 363,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:54.326\",\n@@ -111707,7 +111578,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 366,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:55.890\",\n@@ -111730,7 +111600,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 367,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:01:56.443\",\n@@ -111753,7 +111622,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 378,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:02:00.392\",\n@@ -111776,7 +111644,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 380,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:02:00.438\",\n@@ -111799,7 +111666,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 383,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:02:00.691\",\n@@ -111822,7 +111688,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 387,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-10-01T09:33:06.080\",\n@@ -111845,7 +111710,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 388,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:02:03.311\",\n@@ -111868,7 +111732,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 389,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:02:07.646\",\n@@ -111891,7 +111754,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 392,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-23T10:52:15.011\",\n@@ -111914,7 +111776,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 395,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-02T13:45:22.575\",\n@@ -111937,7 +111798,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 398,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:02:26.165\",\n@@ -111960,7 +111820,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 405,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:02:32.926\",\n@@ -111983,7 +111842,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 408,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T16:57:03.709\",\n@@ -112006,7 +111864,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 409,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-04-12T12:16:07.304\",\n@@ -112029,7 +111886,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 410,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:02:32.959\",\n@@ -112052,7 +111908,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 414,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:02:32.995\",\n@@ -112075,7 +111930,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 417,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:02:33.025\",\n@@ -112098,7 +111952,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 418,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:02:33.032\",\n@@ -112121,7 +111974,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 419,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T21:50:22.128\",\n@@ -112144,7 +111996,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 421,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:02:33.063\",\n@@ -112167,7 +112018,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 422,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:02:33.072\",\n@@ -112190,7 +112040,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 423,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:02:33.077\",\n@@ -112213,7 +112062,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 425,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:02:42.609\",\n@@ -112236,7 +112084,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 432,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:02:54.709\",\n@@ -112259,7 +112106,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 433,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:03:02.417\",\n@@ -112282,7 +112128,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 438,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:03:17.355\",\n@@ -112305,7 +112150,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 440,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:03:17.566\",\n@@ -112328,7 +112172,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 445,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:03:25.901\",\n@@ -112351,7 +112194,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 447,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:03:25.918\",\n@@ -112374,7 +112216,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 448,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:03:25.924\",\n@@ -112397,7 +112238,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 451,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:03:25.943\",\n@@ -112420,7 +112260,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 452,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:03:25.949\",\n@@ -112443,7 +112282,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 455,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:03:25.966\",\n@@ -112466,7 +112304,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 459,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:03:25.989\",\n@@ -112489,7 +112326,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 464,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-12-04T14:22:09.856\",\n@@ -112512,7 +112348,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 468,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:04:02.375\",\n@@ -112535,7 +112370,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 471,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-03T23:21:57.054\",\n@@ -112558,7 +112392,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 475,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:04:27.433\",\n@@ -112581,7 +112414,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 477,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:04:29.615\",\n@@ -112604,7 +112436,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 482,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-15T15:52:42.444\",\n@@ -112627,7 +112458,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 483,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:08:05.159\",\n@@ -112650,7 +112480,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 484,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-06T21:12:21.200\",\n@@ -112668,24 +112497,45 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 120,\n- 74,\n- 280,\n- 395,\n- 61,\n- 33,\n- 1113,\n- 950,\n- 267,\n- 191,\n- 69\n+ [\n+ \"diane.carlton\"\n+ ],\n+ [\n+ \"brian.david.ext\"\n+ ],\n+ [\n+ \"portia.hoffman\"\n+ ],\n+ [\n+ \"al.jean\"\n+ ],\n+ [\n+ \"eboni.maldonado.ext\"\n+ ],\n+ [\n+ \"latosha.moon\"\n+ ],\n+ [\n+ \"damion.navarrete\"\n+ ],\n+ [\n+ \"leola.parrott.ext\"\n+ ],\n+ [\n+ \"karine.prater\"\n+ ],\n+ [\n+ \"errol.simon\"\n+ ],\n+ [\n+ \"adriane.strain\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 485,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:08:07.813\",\n@@ -112708,7 +112558,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 489,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:08:20.071\",\n@@ -112731,7 +112580,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 490,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:08:21.867\",\n@@ -112754,7 +112602,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 494,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:08:41.792\",\n@@ -112777,7 +112624,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 495,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-31T10:25:58.389\",\n@@ -112800,7 +112646,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 496,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:10:30.880\",\n@@ -112823,7 +112668,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 497,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:10:30.898\",\n@@ -112846,7 +112690,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 539,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-11-23T11:04:09.158\",\n@@ -112869,7 +112712,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 540,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:10:49\",\n@@ -112892,7 +112734,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 542,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-30T20:46:14.335\",\n@@ -112915,7 +112756,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 543,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T16:14:46.010\",\n@@ -112938,7 +112778,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 546,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T19:00:18.169\",\n@@ -112961,7 +112800,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 547,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-29T17:02:17.999\",\n@@ -112984,7 +112822,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 548,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-01T09:24:22.444\",\n@@ -113007,7 +112844,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 549,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-31T09:09:22.294\",\n@@ -113030,7 +112866,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 551,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:11:03.967\",\n@@ -113053,7 +112888,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 552,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:11:03.972\",\n@@ -113076,7 +112910,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 553,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:11:03.976\",\n@@ -113099,7 +112932,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 555,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:11:03.986\",\n@@ -113122,7 +112954,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 556,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T16:15:10.501\",\n@@ -113145,7 +112976,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 557,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-31T14:08:23.222\",\n@@ -113168,7 +112998,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 559,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T22:53:23.599\",\n@@ -113191,7 +113020,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 560,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-23T19:14:56.765\",\n@@ -113214,7 +113042,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 561,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-08T10:57:35.127\",\n@@ -113237,7 +113064,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 562,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-03-13T21:08:59.664\",\n@@ -113260,7 +113086,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 563,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-04T16:46:09.458\",\n@@ -113283,7 +113108,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 564,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-12T11:50:50.547\",\n@@ -113306,7 +113130,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 565,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-03-18T09:10:08.613\",\n@@ -113329,7 +113152,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 566,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-30T21:11:33.049\",\n@@ -113352,7 +113174,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 568,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-03-05T10:43:54.810\",\n@@ -113375,7 +113196,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 569,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-30T22:50:33.025\",\n@@ -113398,7 +113218,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 570,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-10T11:04:25.120\",\n@@ -113421,7 +113240,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 571,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-11-22T16:35:15.443\",\n@@ -113444,7 +113262,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 574,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-31T11:54:38.564\",\n@@ -113467,7 +113284,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 576,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-09T11:14:42.030\",\n@@ -113490,7 +113306,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 577,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-03-03T01:14:47.233\",\n@@ -113513,7 +113328,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 578,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T15:31:17.944\",\n@@ -113536,7 +113350,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 579,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-15T13:21:11.742\",\n@@ -113559,7 +113372,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 580,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-28T23:41:42.360\",\n@@ -113582,7 +113394,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 581,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-03-16T11:51:36.155\",\n@@ -113605,7 +113416,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 582,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-08-21T08:50:38.747\",\n@@ -113628,7 +113438,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 584,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-15T14:24:51.746\",\n@@ -113651,7 +113460,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 586,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T15:46:39.710\",\n@@ -113674,7 +113482,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 588,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-22T17:06:50.607\",\n@@ -113697,7 +113504,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 590,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-29T14:53:17.250\",\n@@ -113720,7 +113526,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 591,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-06-03T08:39:27.351\",\n@@ -113743,7 +113548,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 592,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-10T21:35:49.219\",\n@@ -113766,7 +113570,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 593,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-03-01T11:29:27.215\",\n@@ -113789,7 +113592,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 594,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:11:04.174\",\n@@ -113812,7 +113614,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 595,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:11:04.179\",\n@@ -113835,7 +113636,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 596,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-08T14:44:45.671\",\n@@ -113858,7 +113658,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 597,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:11:04.189\",\n@@ -113881,7 +113680,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 600,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-18T20:19:53.113\",\n@@ -113904,7 +113702,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 601,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-07T09:27:03.820\",\n@@ -113927,7 +113724,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 602,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-11-23T12:07:32.181\",\n@@ -113950,7 +113746,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 603,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:11:04.218\",\n@@ -113973,7 +113768,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 604,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-23T15:52:47.145\",\n@@ -113996,7 +113790,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 605,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-14T15:17:03.287\",\n@@ -114019,7 +113812,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 606,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-02T10:12:40.654\",\n@@ -114042,7 +113834,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 608,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$20000$mHyoq7kQaC2h$BmBzoRMsAHLhkgmY2SIn/GE7rt+XRp3QFvUegeIWdjk=\",\n \"last_login\": \"2015-11-08T14:34:36.328\",\n@@ -114065,7 +113856,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 609,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:11:04.247\",\n@@ -114088,7 +113878,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 611,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-06-03T08:40:18.189\",\n@@ -114111,7 +113900,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 612,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-08T17:18:28.575\",\n@@ -114134,7 +113922,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 613,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-15T13:31:11.152\",\n@@ -114157,7 +113944,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 614,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-04T09:51:14.360\",\n@@ -114180,7 +113966,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 615,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:11:04.276\",\n@@ -114203,7 +113988,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 616,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-09T17:55:07.197\",\n@@ -114226,7 +114010,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 619,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-17T22:57:20.798\",\n@@ -114249,7 +114032,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 621,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T15:28:52.173\",\n@@ -114272,7 +114054,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 623,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:11:04.314\",\n@@ -114295,7 +114076,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 624,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-24T11:02:13.320\",\n@@ -114318,7 +114098,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 625,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-11-28T22:37:57.999\",\n@@ -114341,7 +114120,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 627,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-12T13:15:41.710\",\n@@ -114364,7 +114142,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 628,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-09T09:38:31.796\",\n@@ -114387,7 +114164,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 632,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:11:55.620\",\n@@ -114410,7 +114186,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 633,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-16T14:17:37.158\",\n@@ -114433,7 +114208,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 634,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:11:56.152\",\n@@ -114456,7 +114230,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 635,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-29T06:38:28.861\",\n@@ -114474,18 +114247,27 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 2217,\n- 964,\n- 2139,\n- 249,\n- 60\n+ [\n+ \"nicholle.boyce\"\n+ ],\n+ [\n+ \"heike.cartwright.ext\"\n+ ],\n+ [\n+ \"albina.dibble\"\n+ ],\n+ [\n+ \"sunni.hollingsworth\"\n+ ],\n+ [\n+ \"maegan.mccorkle\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 637,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:12:15.064\",\n@@ -114508,7 +114290,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 639,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T17:12:19.069\",\n@@ -114531,7 +114312,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 640,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-31T17:12:28.842\",\n@@ -114554,7 +114334,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 641,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T16:45:25.645\",\n@@ -114572,14 +114351,15 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 995\n+ [\n+ \"earline.hills\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 642,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-03-22T11:24:00.988\",\n@@ -114602,7 +114382,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 643,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T11:39:18.036\",\n@@ -114625,7 +114404,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 645,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:14:54.208\",\n@@ -114648,7 +114426,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 648,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T15:36:47.045\",\n@@ -114666,15 +114443,18 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 690,\n- 815\n+ [\n+ \"january.copeland\"\n+ ],\n+ [\n+ \"evap\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 649,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-11-28T19:41:55.913\",\n@@ -114697,7 +114477,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 650,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-05T11:52:28.356\",\n@@ -114715,15 +114494,18 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 2217,\n- 249\n+ [\n+ \"nicholle.boyce\"\n+ ],\n+ [\n+ \"sunni.hollingsworth\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 651,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T19:09:55.252\",\n@@ -114746,7 +114528,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 653,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-27T11:09:57.023\",\n@@ -114769,7 +114550,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 655,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:14:57.152\",\n@@ -114792,7 +114572,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 656,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:14:57.456\",\n@@ -114815,7 +114594,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 658,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-04-04T23:56:50.331\",\n@@ -114838,7 +114616,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 659,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-04-19T00:03:33.953\",\n@@ -114861,7 +114638,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 660,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-24T21:31:17.863\",\n@@ -114884,7 +114660,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 661,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-11-08T07:57:04.396\",\n@@ -114907,7 +114682,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 662,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-11-23T12:59:49.557\",\n@@ -114930,7 +114704,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 663,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-23T23:20:10.602\",\n@@ -114953,7 +114726,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 664,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-04-23T19:13:08.162\",\n@@ -114976,7 +114748,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 665,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$20000$6wS8Pd0oAIrT$aE2U2a4TOHid6QIFpoUjJx6D3+qnFx30UmuyGKLg6us=\",\n \"last_login\": \"2015-11-08T14:33:36.461\",\n@@ -114999,7 +114770,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 666,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T18:52:52.705\",\n@@ -115022,7 +114792,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 667,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-30T20:01:40.471\",\n@@ -115045,7 +114814,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 668,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-12-06T10:37:49.806\",\n@@ -115068,7 +114836,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 669,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-17T12:00:14.509\",\n@@ -115091,7 +114858,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 670,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-23T20:02:06.820\",\n@@ -115114,7 +114880,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 671,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-07T14:33:20.588\",\n@@ -115137,7 +114902,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 672,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-07T09:04:41.784\",\n@@ -115160,7 +114924,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 673,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-31T07:16:47.118\",\n@@ -115183,7 +114946,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 674,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-01T17:52:10\",\n@@ -115206,7 +114968,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 675,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-10T21:44:14.222\",\n@@ -115229,7 +114990,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 676,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-10T17:32:03.488\",\n@@ -115252,7 +115012,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 677,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-10T09:09:08.220\",\n@@ -115275,7 +115034,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 679,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-06-03T08:42:40.410\",\n@@ -115298,7 +115056,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 680,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-11-22T16:34:45.660\",\n@@ -115321,7 +115078,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 681,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-03-01T13:31:23.413\",\n@@ -115344,7 +115100,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 682,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-04T08:22:23.153\",\n@@ -115367,7 +115122,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 683,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-18T20:17:01.986\",\n@@ -115390,7 +115144,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 684,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-23T16:05:42.773\",\n@@ -115413,7 +115166,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 685,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-26T15:26:45.194\",\n@@ -115436,7 +115188,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 686,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-02T21:46:20.458\",\n@@ -115459,7 +115210,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 687,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-07T13:35:24.761\",\n@@ -115482,7 +115232,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 688,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-08T14:53:12.763\",\n@@ -115505,7 +115254,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 689,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-10T10:51:46.256\",\n@@ -115528,7 +115276,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 690,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-10T15:35:41.696\",\n@@ -115551,7 +115298,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 691,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-10T17:29:53.306\",\n@@ -115574,7 +115320,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 692,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-22T22:49:57.122\",\n@@ -115597,7 +115342,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 693,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-16T12:48:01.632\",\n@@ -115620,7 +115364,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 695,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T16:02:57.758\",\n@@ -115643,7 +115386,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 696,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$20000$MapdKDF22w2c$+BDIKGr3INVhRWV25Y5UBG9mP/pJOiKPvgF2UK/aclc=\",\n \"last_login\": \"2015-11-08T14:34:10.243\",\n@@ -115666,7 +115408,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 697,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T15:44:18.632\",\n@@ -115689,7 +115430,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 699,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T16:58:07.212\",\n@@ -115712,7 +115452,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 700,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-26T09:17:18.823\",\n@@ -115735,7 +115474,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 701,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-03T20:01:38.610\",\n@@ -115758,7 +115496,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 702,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T16:02:54.654\",\n@@ -115781,7 +115518,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 703,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-07T12:27:44.048\",\n@@ -115804,7 +115540,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 704,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-08-04T13:52:06.334\",\n@@ -115827,7 +115562,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 705,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-13T09:16:24.696\",\n@@ -115850,7 +115584,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 706,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-06T15:47:03.050\",\n@@ -115873,7 +115606,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 707,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-31T07:51:49.472\",\n@@ -115896,7 +115628,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 708,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-29T01:24:56.050\",\n@@ -115919,7 +115650,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 709,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-04-02T13:21:09.494\",\n@@ -115942,7 +115672,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 710,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:15:15.568\",\n@@ -115965,7 +115694,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 711,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-26T09:22:05.989\",\n@@ -115988,7 +115716,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 712,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-19T12:01:49.760\",\n@@ -116011,7 +115738,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 713,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-13T15:51:28.646\",\n@@ -116034,7 +115760,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 714,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-06-03T08:46:48.712\",\n@@ -116057,7 +115782,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 715,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-22T21:05:21.778\",\n@@ -116080,7 +115804,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 716,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-06-05T22:28:25.156\",\n@@ -116103,7 +115826,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 717,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-12-18T15:33:29.791\",\n@@ -116126,7 +115848,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 718,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-28T09:53:37.453\",\n@@ -116149,7 +115870,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 719,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-13T22:14:34.781\",\n@@ -116172,7 +115892,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 720,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-04-18T23:15:45.143\",\n@@ -116195,7 +115914,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 721,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T16:10:16.988\",\n@@ -116218,7 +115936,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 722,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-22T10:17:57.715\",\n@@ -116234,7 +115951,9 @@\n \"login_key_valid_until\": null,\n \"is_active\": true,\n \"groups\": [\n- 1\n+ [\n+ \"Manager\"\n+ ]\n ],\n \"user_permissions\": [],\n \"delegates\": [],\n@@ -116243,7 +115962,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 723,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T17:51:10.181\",\n@@ -116266,7 +115984,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 724,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-30T19:26:37.650\",\n@@ -116289,7 +116006,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 725,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-06-06T14:51:06.563\",\n@@ -116312,7 +116028,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 726,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T15:52:03.602\",\n@@ -116335,7 +116050,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 727,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T15:13:24.342\",\n@@ -116358,7 +116072,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 728,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-31T23:40:10.825\",\n@@ -116381,7 +116094,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 729,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-07T10:07:30.747\",\n@@ -116404,7 +116116,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 730,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T16:38:13.699\",\n@@ -116427,7 +116138,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 731,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-29T20:02:26.052\",\n@@ -116450,7 +116160,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 732,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-28T10:57:50.631\",\n@@ -116473,7 +116182,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 733,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T18:23:27.426\",\n@@ -116496,7 +116204,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 734,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-07T15:00:33.447\",\n@@ -116519,7 +116226,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 735,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-05T13:08:04.066\",\n@@ -116542,7 +116248,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 736,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-31T10:17:59.824\",\n@@ -116565,7 +116270,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 737,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-22T16:02:09.366\",\n@@ -116588,7 +116292,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 738,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:15:19.962\",\n@@ -116611,7 +116314,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 739,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-24T11:19:54.509\",\n@@ -116627,7 +116329,9 @@\n \"login_key_valid_until\": null,\n \"is_active\": true,\n \"groups\": [\n- 1\n+ [\n+ \"Manager\"\n+ ]\n ],\n \"user_permissions\": [],\n \"delegates\": [],\n@@ -116636,7 +116340,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 740,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-22T16:03:48.200\",\n@@ -116659,7 +116362,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 741,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T16:10:48.296\",\n@@ -116682,7 +116384,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 742,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T17:14:43.745\",\n@@ -116705,7 +116406,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 744,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T16:13:10.828\",\n@@ -116728,7 +116428,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 747,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$20000$4b9M7Kv45ghM$CIqoizm3HLhMh3D1+xye5Jqr6LV7IyXGBWmwmsVW/js=\",\n \"last_login\": \"2015-11-08T12:44:39.899\",\n@@ -116751,7 +116450,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 748,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-13T13:39:24.115\",\n@@ -116774,7 +116472,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 749,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-04T00:53:53.335\",\n@@ -116797,7 +116494,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 750,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-11T21:23:39.762\",\n@@ -116820,7 +116516,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 751,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:15:22.152\",\n@@ -116843,7 +116538,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 752,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-08T08:52:55.707\",\n@@ -116866,7 +116560,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 753,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-04-22T16:37:57.331\",\n@@ -116889,7 +116582,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 754,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$20000$cZek9pUwPWjz$HOcVeL8Q7himlOTBlPRkP79kJq5aGpXRkzQy6Y0Twok=\",\n \"last_login\": \"2015-11-08T14:33:55.842\",\n@@ -116912,7 +116604,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 755,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-13T07:11:18.259\",\n@@ -116935,7 +116626,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 756,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-13T09:08:53.814\",\n@@ -116958,7 +116648,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 757,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-09T00:31:01.004\",\n@@ -116981,7 +116670,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 758,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:15:23.295\",\n@@ -117004,7 +116692,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 759,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-18T14:16:22.169\",\n@@ -117027,7 +116714,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 760,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:15:23.516\",\n@@ -117050,7 +116736,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 761,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-13T17:20:30.190\",\n@@ -117073,7 +116758,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 762,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-08T14:57:57.136\",\n@@ -117096,7 +116780,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 763,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-23T15:45:57.358\",\n@@ -117119,7 +116802,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 764,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-14T13:04:03.554\",\n@@ -117142,7 +116824,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 765,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-24T19:46:34.696\",\n@@ -117165,7 +116846,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 766,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-13T16:29:16.534\",\n@@ -117188,7 +116868,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 767,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-09T06:40:44.829\",\n@@ -117211,7 +116890,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 768,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-13T07:30:47.334\",\n@@ -117234,7 +116912,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 769,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-07T09:46:02.467\",\n@@ -117257,7 +116934,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 770,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-23T13:52:32.364\",\n@@ -117280,7 +116956,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 771,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:15:25.133\",\n@@ -117303,7 +116978,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 772,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$20000$384ADW2W9sEE$79veVLxuZa1S88YegvqOkqo3waDDqHGGLQ8QcBrV6ZQ=\",\n \"last_login\": \"2015-11-08T12:46:25.140\",\n@@ -117326,7 +117000,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 773,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-06-02T23:22:23.103\",\n@@ -117349,7 +117022,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 774,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-13T19:06:29.724\",\n@@ -117372,7 +117044,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 775,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-13T16:38:42.007\",\n@@ -117395,7 +117066,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 776,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T23:52:16.190\",\n@@ -117418,7 +117088,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 777,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:15:26.206\",\n@@ -117441,7 +117110,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 778,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-14T12:48:26.729\",\n@@ -117464,7 +117132,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 779,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-03T13:07:11.525\",\n@@ -117487,7 +117154,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 780,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-03T03:36:51.513\",\n@@ -117510,7 +117176,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 781,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-13T13:16:03.591\",\n@@ -117533,7 +117198,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 782,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-08T09:16:34.608\",\n@@ -117556,7 +117220,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 783,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-03-21T13:00:11.106\",\n@@ -117579,7 +117242,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 784,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-09T15:15:23.092\",\n@@ -117602,7 +117264,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 785,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-27T18:06:32.610\",\n@@ -117614,8 +117275,8 @@\n \"last_name\": \"Dexter\",\n \"language\": null,\n \"is_proxy_user\": false,\n- \"login_key\": null,\n- \"login_key_valid_until\": null,\n+ \"login_key\": 979985223,\n+ \"login_key_valid_until\": \"2020-05-25\",\n \"is_active\": true,\n \"groups\": [],\n \"user_permissions\": [],\n@@ -117625,7 +117286,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 786,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T15:50:01.083\",\n@@ -117648,7 +117308,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 787,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T17:33:46.339\",\n@@ -117671,7 +117330,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 789,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T18:19:19.030\",\n@@ -117694,7 +117352,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 790,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-18T23:57:13.157\",\n@@ -117717,7 +117374,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 791,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T22:00:27.184\",\n@@ -117729,8 +117385,8 @@\n \"last_name\": \"Campos\",\n \"language\": null,\n \"is_proxy_user\": false,\n- \"login_key\": null,\n- \"login_key_valid_until\": null,\n+ \"login_key\": 1818483627,\n+ \"login_key_valid_until\": \"2020-05-25\",\n \"is_active\": true,\n \"groups\": [],\n \"user_permissions\": [],\n@@ -117740,7 +117396,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 792,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T16:24:39.841\",\n@@ -117763,7 +117418,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 793,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T18:52:46.917\",\n@@ -117786,7 +117440,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 794,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:15:28.729\",\n@@ -117809,7 +117462,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 795,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-14T21:01:56.880\",\n@@ -117832,7 +117484,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 796,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:15:29.052\",\n@@ -117855,7 +117506,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 797,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-07T10:48:32.960\",\n@@ -117878,7 +117528,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 798,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-10T08:12:29.144\",\n@@ -117901,7 +117550,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 799,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-13T10:37:17.338\",\n@@ -117924,7 +117572,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 800,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-02T14:33:40.885\",\n@@ -117947,7 +117594,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 801,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T22:38:17.335\",\n@@ -117970,7 +117616,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 802,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:15:30.052\",\n@@ -117993,7 +117638,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 803,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-16T10:08:18.664\",\n@@ -118016,7 +117660,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 804,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-27T00:30:31.661\",\n@@ -118039,7 +117682,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 805,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-31T11:01:26.720\",\n@@ -118062,7 +117704,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 806,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T17:13:03.122\",\n@@ -118085,7 +117726,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 807,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-16T09:25:19.080\",\n@@ -118108,7 +117748,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 808,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-06-02T23:41:43.043\",\n@@ -118131,7 +117770,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 809,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-06-02T23:35:57.142\",\n@@ -118154,7 +117792,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 810,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T15:44:43.594\",\n@@ -118177,7 +117814,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 811,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-30T19:32:35.293\",\n@@ -118200,7 +117836,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 812,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-21T22:32:40.335\",\n@@ -118216,7 +117851,9 @@\n \"login_key_valid_until\": \"2014-01-30\",\n \"is_active\": true,\n \"groups\": [\n- 1\n+ [\n+ \"Manager\"\n+ ]\n ],\n \"user_permissions\": [],\n \"delegates\": [],\n@@ -118225,7 +117862,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 814,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-24T17:45:28.383\",\n@@ -118248,24 +117884,27 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 815,\n \"fields\": {\n- \"password\": \"pbkdf2_sha256$100000$85ZeSerVM5mq$dt/svaAHtppUjGUjKMmmJCDCwJj8QxR0NyBdtJJCSak=\",\n- \"last_login\": \"2019-02-02T16:15:06.324\",\n+ \"password\": \"pbkdf2_sha256$150000$VhbGuFyU0NsF$LaOk+e0jHdSnobNBx3Zv9+/jeVxWIJuz2IuLVJVgtNk=\",\n+ \"last_login\": \"2019-10-28T18:35:38.084\",\n \"is_superuser\": true,\n \"username\": \"evap\",\n \"email\": \"evap@institution.example.com\",\n \"title\": \"\",\n \"first_name\": \"\",\n \"last_name\": \"evap\",\n- \"language\": \"en\",\n+ \"language\": \"de\",\n \"is_proxy_user\": false,\n- \"login_key\": null,\n- \"login_key_valid_until\": \"2014-02-18\",\n+ \"login_key\": 530207530,\n+ \"login_key_valid_until\": \"2020-05-25\",\n \"is_active\": true,\n \"groups\": [\n- 1,\n- 3\n+ [\n+ \"Manager\"\n+ ],\n+ [\n+ \"Grade publisher\"\n+ ]\n ],\n \"user_permissions\": [],\n \"delegates\": [],\n@@ -118274,7 +117913,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 817,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-13T19:29:30.798\",\n@@ -118297,7 +117935,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 818,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-13T11:34:58.706\",\n@@ -118320,7 +117957,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 819,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T18:38:17.897\",\n@@ -118343,7 +117979,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 820,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T17:37:41.844\",\n@@ -118366,7 +118001,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 821,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T22:28:33.235\",\n@@ -118389,7 +118023,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 822,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-04T09:45:48.903\",\n@@ -118412,7 +118045,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 823,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-06-02T23:21:27.886\",\n@@ -118435,7 +118067,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 824,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:15:33.482\",\n@@ -118458,7 +118089,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 825,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T16:57:14.045\",\n@@ -118481,7 +118111,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 826,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-04T11:34:17.043\",\n@@ -118504,7 +118133,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 827,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-16T17:25:00.935\",\n@@ -118527,7 +118155,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 828,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-06-05T22:30:44.546\",\n@@ -118550,7 +118177,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 829,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-03T19:59:46.473\",\n@@ -118573,7 +118199,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 830,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-29T09:30:22.542\",\n@@ -118596,7 +118221,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 831,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-15T08:53:31.336\",\n@@ -118619,7 +118243,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 832,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-08T21:32:22.282\",\n@@ -118631,8 +118254,8 @@\n \"last_name\": \"Cupp\",\n \"language\": null,\n \"is_proxy_user\": false,\n- \"login_key\": null,\n- \"login_key_valid_until\": null,\n+ \"login_key\": 71453046,\n+ \"login_key_valid_until\": \"2020-05-25\",\n \"is_active\": true,\n \"groups\": [],\n \"user_permissions\": [],\n@@ -118642,7 +118265,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 833,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-08T10:14:16.419\",\n@@ -118665,7 +118287,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 834,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:15:35.089\",\n@@ -118688,7 +118309,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 835,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-04-08T01:02:52.588\",\n@@ -118711,7 +118331,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 836,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-06-02T23:35:20.957\",\n@@ -118734,7 +118353,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 837,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-02T21:15:35.175\",\n@@ -118757,7 +118375,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 838,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-09T09:04:36.560\",\n@@ -118780,7 +118397,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 839,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-02T14:27:47.386\",\n@@ -118803,7 +118419,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 840,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-03-21T11:54:08.463\",\n@@ -118826,7 +118441,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 841,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-22T19:54:53.840\",\n@@ -118849,7 +118463,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 842,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:15:36.002\",\n@@ -118872,7 +118485,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 843,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-04T19:24:01.703\",\n@@ -118895,7 +118507,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 844,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-09T13:53:50.181\",\n@@ -118918,7 +118529,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 845,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T18:05:19.669\",\n@@ -118941,7 +118551,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 847,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-14T12:02:37.909\",\n@@ -118964,7 +118573,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 848,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-12T22:27:25.456\",\n@@ -118987,7 +118595,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 849,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-13T08:04:17.109\",\n@@ -119010,7 +118617,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 850,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T14:23:10.645\",\n@@ -119033,7 +118639,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 851,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T16:10:47.369\",\n@@ -119056,7 +118661,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 852,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-08T22:33:33.258\",\n@@ -119079,7 +118683,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 853,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T19:32:35.827\",\n@@ -119102,7 +118705,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 854,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T23:00:08.483\",\n@@ -119125,7 +118727,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 855,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-10T01:19:22.774\",\n@@ -119148,7 +118749,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 856,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:15:37.745\",\n@@ -119171,7 +118771,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 857,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T22:57:31.055\",\n@@ -119194,7 +118793,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 858,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-15T13:29:47.113\",\n@@ -119217,7 +118815,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 859,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T16:01:26.112\",\n@@ -119240,7 +118837,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 860,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-08T13:00:15.973\",\n@@ -119263,7 +118859,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 861,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-13T09:55:52.502\",\n@@ -119286,7 +118881,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 862,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-26T00:55:06.746\",\n@@ -119309,7 +118903,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 863,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:15:38.662\",\n@@ -119332,7 +118925,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 864,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T15:11:57.827\",\n@@ -119355,7 +118947,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 865,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-04T04:13:23.195\",\n@@ -119378,7 +118969,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 866,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T15:40:22.025\",\n@@ -119401,7 +118991,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 867,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T22:14:37.652\",\n@@ -119424,7 +119013,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 868,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-01T14:07:23.055\",\n@@ -119447,7 +119035,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 869,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:15:39.521\",\n@@ -119470,7 +119057,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 870,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-05T11:21:24.794\",\n@@ -119482,8 +119068,8 @@\n \"last_name\": \"Larry\",\n \"language\": null,\n \"is_proxy_user\": false,\n- \"login_key\": null,\n- \"login_key_valid_until\": null,\n+ \"login_key\": 1209312068,\n+ \"login_key_valid_until\": \"2020-05-25\",\n \"is_active\": true,\n \"groups\": [],\n \"user_permissions\": [],\n@@ -119493,7 +119079,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 871,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-06-06T12:59:03.780\",\n@@ -119516,7 +119101,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 872,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-13T09:22:36.534\",\n@@ -119539,7 +119123,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 873,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-28T10:55:54.200\",\n@@ -119562,7 +119145,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 874,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-03T20:24:50.005\",\n@@ -119585,7 +119167,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 875,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T15:43:54.085\",\n@@ -119608,7 +119189,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 876,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-09T13:48:54.771\",\n@@ -119631,7 +119211,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 877,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T16:23:44.702\",\n@@ -119654,7 +119233,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 878,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-02T21:38:33.259\",\n@@ -119677,7 +119255,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 879,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-08T11:46:48.358\",\n@@ -119700,7 +119277,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 880,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-04-19T09:22:46.335\",\n@@ -119723,7 +119299,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 881,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-27T10:03:37.557\",\n@@ -119746,7 +119321,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 882,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T17:13:51.600\",\n@@ -119769,7 +119343,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 883,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-20T19:33:27.473\",\n@@ -119792,7 +119365,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 884,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T17:38:52.131\",\n@@ -119815,7 +119387,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 885,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-21T09:42:31.361\",\n@@ -119838,7 +119409,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 886,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-03T07:56:35.761\",\n@@ -119861,7 +119431,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 887,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T19:51:46.531\",\n@@ -119884,7 +119453,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 888,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-12T10:38:35.165\",\n@@ -119907,7 +119475,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 889,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-30T20:09:43.194\",\n@@ -119930,7 +119497,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 891,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-04-09T20:28:37.106\",\n@@ -119953,7 +119519,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 892,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-06-02T23:36:09.667\",\n@@ -119976,7 +119541,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 893,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-04-18T23:16:40.888\",\n@@ -119999,7 +119563,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 894,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$20000$MFOXT3KjBzEo$ornMmvvGJgg0lbDMFL6uUEg5ejJLO98Tz6DWT4RLCY4=\",\n \"last_login\": \"2015-11-08T12:43:50.016\",\n@@ -120022,7 +119585,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 895,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-10T21:39:20.259\",\n@@ -120045,7 +119607,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 896,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-04T04:35:10.895\",\n@@ -120068,7 +119629,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 897,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T15:12:13.962\",\n@@ -120091,7 +119651,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 898,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-03-31T14:12:32.669\",\n@@ -120114,7 +119673,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 899,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:15:43.664\",\n@@ -120137,7 +119695,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 900,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-06-02T23:43:52.409\",\n@@ -120160,7 +119717,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 901,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-14T12:41:41.729\",\n@@ -120183,7 +119739,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 903,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-04T13:50:04.488\",\n@@ -120206,7 +119761,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 904,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-03T09:08:27.634\",\n@@ -120229,7 +119783,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 905,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-09T11:18:07.872\",\n@@ -120252,7 +119805,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 906,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-13T08:46:53.510\",\n@@ -120275,7 +119827,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 907,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T15:44:02.529\",\n@@ -120298,7 +119849,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 908,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-19T11:39:34.560\",\n@@ -120321,7 +119871,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 911,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T22:53:13.150\",\n@@ -120344,7 +119893,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 912,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-02T17:55:12.113\",\n@@ -120367,7 +119915,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 913,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-13T06:53:56.588\",\n@@ -120390,7 +119937,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 914,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-06-02T23:23:14.748\",\n@@ -120413,7 +119959,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 915,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T15:45:51.110\",\n@@ -120436,7 +119981,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 916,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-30T20:25:28.519\",\n@@ -120459,7 +120003,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 917,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-03-26T09:54:32.616\",\n@@ -120482,7 +120025,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 918,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-31T15:59:01.922\",\n@@ -120505,7 +120047,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 919,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-16T08:44:29.251\",\n@@ -120528,7 +120069,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 920,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T15:50:28.800\",\n@@ -120551,7 +120091,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 921,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-18T18:15:47.263\",\n@@ -120574,7 +120113,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 922,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-08T10:31:06.071\",\n@@ -120597,7 +120135,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 923,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-24T15:18:05.982\",\n@@ -120620,7 +120157,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 924,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-07T18:19:39.897\",\n@@ -120632,8 +120168,8 @@\n \"last_name\": \"Lu\",\n \"language\": null,\n \"is_proxy_user\": false,\n- \"login_key\": null,\n- \"login_key_valid_until\": null,\n+ \"login_key\": 679371237,\n+ \"login_key_valid_until\": \"2020-05-25\",\n \"is_active\": true,\n \"groups\": [],\n \"user_permissions\": [],\n@@ -120643,7 +120179,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 925,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-08T12:04:40.513\",\n@@ -120666,7 +120201,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 926,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-09T09:57:42.808\",\n@@ -120689,7 +120223,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 927,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-18T19:27:06.576\",\n@@ -120712,7 +120245,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 928,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-13T12:05:46.877\",\n@@ -120735,7 +120267,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 929,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T23:32:30.882\",\n@@ -120758,7 +120289,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 930,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-02T14:15:40.526\",\n@@ -120781,7 +120311,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 931,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-13T10:25:52.856\",\n@@ -120804,7 +120333,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 932,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T22:58:19.362\",\n@@ -120827,7 +120355,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 933,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T16:26:00.969\",\n@@ -120850,7 +120377,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 934,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-16T15:23:28.720\",\n@@ -120873,7 +120399,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 935,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-10T09:51:24.472\",\n@@ -120896,7 +120421,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 936,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-14T11:11:38.104\",\n@@ -120914,15 +120438,18 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 2217,\n- 249\n+ [\n+ \"nicholle.boyce\"\n+ ],\n+ [\n+ \"sunni.hollingsworth\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 937,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-31T09:32:31.564\",\n@@ -120940,15 +120467,18 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 2217,\n- 249\n+ [\n+ \"nicholle.boyce\"\n+ ],\n+ [\n+ \"sunni.hollingsworth\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 939,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-19T13:13:58.523\",\n@@ -120971,7 +120501,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 940,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-07T16:04:02.080\",\n@@ -120994,7 +120523,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 942,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-11-24T01:27:24.401\",\n@@ -121017,7 +120545,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 944,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-19T00:10:32.552\",\n@@ -121040,7 +120567,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 945,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-12-04T15:15:17.438\",\n@@ -121063,7 +120589,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 946,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-19T00:10:54.570\",\n@@ -121086,7 +120611,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 947,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-19T00:11:03.516\",\n@@ -121109,7 +120633,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 949,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-19T00:11:26.664\",\n@@ -121132,7 +120655,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 950,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-23T16:35:49.553\",\n@@ -121155,7 +120677,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 957,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-19T00:11:27.520\",\n@@ -121178,7 +120699,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 958,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-19T00:11:55.671\",\n@@ -121201,7 +120721,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 959,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-19T00:11:57.518\",\n@@ -121224,7 +120743,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 963,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-19T11:28:43.154\",\n@@ -121247,7 +120765,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 964,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-11-26T12:35:59.514\",\n@@ -121270,7 +120787,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 965,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-24T07:50:44.858\",\n@@ -121293,7 +120809,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 970,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-24T23:20:57.209\",\n@@ -121316,7 +120831,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 972,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-24T23:22:51.108\",\n@@ -121339,7 +120853,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 973,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-24T23:23:39.726\",\n@@ -121362,7 +120875,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 974,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-24T23:24:23.965\",\n@@ -121385,7 +120897,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 975,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T14:31:54.681\",\n@@ -121408,7 +120919,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 977,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-28T15:56:55.138\",\n@@ -121431,7 +120941,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 980,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T21:38:05.492\",\n@@ -121454,7 +120963,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 982,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T16:11:41.668\",\n@@ -121477,7 +120985,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 984,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-30T13:29:34.870\",\n@@ -121500,7 +121007,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 985,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-08-07T13:47:19.134\",\n@@ -121523,7 +121029,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 986,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-30T13:33:16.547\",\n@@ -121546,7 +121051,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 987,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-02T13:45:41.652\",\n@@ -121569,7 +121073,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 989,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-30T14:36:05.698\",\n@@ -121592,7 +121095,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 990,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-30T17:29:08.879\",\n@@ -121615,7 +121117,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 991,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-30T17:29:50.227\",\n@@ -121638,7 +121139,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 993,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-14T19:21:46.836\",\n@@ -121656,15 +121156,18 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 2217,\n- 249\n+ [\n+ \"nicholle.boyce\"\n+ ],\n+ [\n+ \"sunni.hollingsworth\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 994,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-30T17:49:45.055\",\n@@ -121682,15 +121185,18 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 2217,\n- 249\n+ [\n+ \"nicholle.boyce\"\n+ ],\n+ [\n+ \"sunni.hollingsworth\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 995,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-17T15:50:57.846\",\n@@ -121713,7 +121219,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 996,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-30T18:19:49.165\",\n@@ -121736,7 +121241,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 997,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-01-30T18:21:25.262\",\n@@ -121759,7 +121263,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 998,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-02T15:42:00.154\",\n@@ -121782,7 +121285,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1001,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-03T20:52:32.693\",\n@@ -121805,7 +121307,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1002,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-31T14:19:19.845\",\n@@ -121828,7 +121329,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1003,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-07T18:59:05.750\",\n@@ -121851,7 +121351,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1004,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-12T15:22:35.949\",\n@@ -121874,7 +121373,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1005,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-02T17:40:40.503\",\n@@ -121892,14 +121390,15 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 249\n+ [\n+ \"sunni.hollingsworth\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1008,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-04T02:06:16.918\",\n@@ -121922,7 +121421,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1009,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-16T21:53:50.281\",\n@@ -121940,15 +121438,18 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 641,\n- 995\n+ [\n+ \"sandee.coker\"\n+ ],\n+ [\n+ \"earline.hills\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1010,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-16T21:57:02.408\",\n@@ -121966,15 +121467,18 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 641,\n- 995\n+ [\n+ \"sandee.coker\"\n+ ],\n+ [\n+ \"earline.hills\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1011,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-02-22T21:55:05.249\",\n@@ -121992,14 +121496,15 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 323\n+ [\n+ \"jolene.squires\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1013,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-03-29T21:50:58.578\",\n@@ -122022,7 +121527,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1015,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-04-12T13:29:11.268\",\n@@ -122045,7 +121549,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1016,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-24T12:21:45.796\",\n@@ -122068,7 +121571,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1071,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-11-30T13:15:32.640\",\n@@ -122091,7 +121593,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1072,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T11:42:00.270\",\n@@ -122114,7 +121615,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1073,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-06T08:48:55.684\",\n@@ -122137,7 +121637,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1075,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T15:58:46.999\",\n@@ -122160,7 +121659,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1078,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-08T05:31:44.362\",\n@@ -122183,7 +121681,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1079,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-27T16:53:03.280\",\n@@ -122206,7 +121703,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1080,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-30T19:30:41.205\",\n@@ -122229,7 +121725,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1081,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-13T22:38:29.694\",\n@@ -122252,7 +121747,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1082,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-03-01T18:13:25.488\",\n@@ -122275,7 +121769,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1084,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-19T13:04:41.845\",\n@@ -122298,7 +121791,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1085,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-18T21:18:16.805\",\n@@ -122321,7 +121813,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1086,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-11-23T11:12:45.731\",\n@@ -122344,7 +121835,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1087,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-06-14T15:20:40.001\",\n@@ -122367,7 +121857,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1088,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T17:31:47.858\",\n@@ -122390,7 +121879,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1089,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-04T14:07:52.087\",\n@@ -122413,7 +121901,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1090,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-06-14T15:20:49.050\",\n@@ -122436,7 +121923,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1091,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-06-14T15:20:50.004\",\n@@ -122459,7 +121945,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1094,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-22T09:30:52.994\",\n@@ -122482,7 +121967,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1095,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T14:12:14.720\",\n@@ -122505,7 +121989,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1098,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-22T18:17:10.843\",\n@@ -122528,7 +122011,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1099,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-18T20:33:05.713\",\n@@ -122551,7 +122033,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1100,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-12T08:45:05.211\",\n@@ -122574,7 +122055,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1101,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-30T19:48:34.747\",\n@@ -122597,7 +122077,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1102,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-06-02T23:20:00.628\",\n@@ -122620,7 +122099,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1103,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-04T04:24:00.981\",\n@@ -122643,7 +122121,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1104,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-12-04T14:46:31.919\",\n@@ -122666,7 +122143,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1105,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T22:26:24.836\",\n@@ -122684,15 +122160,18 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 2217,\n- 249\n+ [\n+ \"nicholle.boyce\"\n+ ],\n+ [\n+ \"sunni.hollingsworth\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1108,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-02T22:47:27.656\",\n@@ -122715,7 +122194,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1109,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-02T22:51:15.718\",\n@@ -122738,7 +122216,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1110,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-03T12:07:14.680\",\n@@ -122761,7 +122238,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1111,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-03T14:52:59.325\",\n@@ -122784,7 +122260,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1113,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T16:13:03.554\",\n@@ -122807,7 +122282,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1115,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-04T20:04:49.118\",\n@@ -122830,7 +122304,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1117,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-22T18:04:27.203\",\n@@ -122853,7 +122326,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1119,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-06T11:37:12.107\",\n@@ -122876,7 +122348,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1120,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-31T08:22:33.176\",\n@@ -122899,7 +122370,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1124,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-13T11:22:23.383\",\n@@ -122922,7 +122392,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1125,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-31T09:47:57.955\",\n@@ -122945,7 +122414,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1127,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-06T16:11:15.271\",\n@@ -122968,7 +122436,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1129,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-06T19:50:24.593\",\n@@ -122991,7 +122458,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1134,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-31T09:32:18.046\",\n@@ -123014,7 +122480,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1135,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-11-09T11:15:50.710\",\n@@ -123037,7 +122502,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1136,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-10T08:02:50.234\",\n@@ -123060,7 +122524,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1137,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-07-10T16:46:58.146\",\n@@ -123083,7 +122546,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1139,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-04T12:58:12.400\",\n@@ -123106,7 +122568,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1140,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-05-30T20:13:22.114\",\n@@ -123129,7 +122590,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1141,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-02T13:52:41.361\",\n@@ -123152,7 +122612,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1142,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-31T06:46:14.889\",\n@@ -123175,7 +122634,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1143,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T09:02:36.659\",\n@@ -123198,7 +122656,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1144,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T12:15:33.812\",\n@@ -123221,7 +122678,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1146,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T19:10:20.421\",\n@@ -123244,7 +122700,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1147,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-11-23T16:47:14.138\",\n@@ -123267,7 +122722,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1148,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-04T16:16:31.182\",\n@@ -123290,7 +122744,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1149,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2012-12-06T09:21:00.448\",\n@@ -123313,7 +122766,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1151,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T18:16:03.480\",\n@@ -123336,7 +122788,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1152,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-02T18:13:54.281\",\n@@ -123352,7 +122803,9 @@\n \"login_key_valid_until\": null,\n \"is_active\": true,\n \"groups\": [\n- 1\n+ [\n+ \"Manager\"\n+ ]\n ],\n \"user_permissions\": [],\n \"delegates\": [],\n@@ -123361,7 +122814,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1153,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-05T17:53:05.114\",\n@@ -123384,7 +122836,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1154,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-07T19:58:48.906\",\n@@ -123407,7 +122858,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1155,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-11T03:06:26.933\",\n@@ -123430,7 +122880,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1531,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T15:44:16.550\",\n@@ -123453,7 +122902,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1838,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-15T13:08:05.904\",\n@@ -123476,7 +122924,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1839,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$20000$BwRiEGfjTCC7$RYDeoLBzk8Xj1FD9F9v2UgVHWIlGu1Hu9CyuucoiCMY=\",\n \"last_login\": \"2015-11-08T14:35:04.569\",\n@@ -123499,7 +122946,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1840,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-24T01:20:24.674\",\n@@ -123522,7 +122968,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1841,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-01-24T13:58:28.365\",\n@@ -123545,7 +122990,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 1842,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-10T01:29:54.008\",\n@@ -123568,7 +123012,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2012,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T23:18:10.128\",\n@@ -123591,7 +123034,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2013,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-05T17:14:09.097\",\n@@ -123614,7 +123056,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2014,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-31T15:35:19.400\",\n@@ -123637,7 +123078,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2015,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-01-24T16:50:59.640\",\n@@ -123660,7 +123100,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2016,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-01-24T16:50:59.670\",\n@@ -123683,7 +123122,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2017,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T21:52:24.803\",\n@@ -123706,7 +123144,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2018,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-07T09:46:01.104\",\n@@ -123729,7 +123166,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2019,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T15:37:15.662\",\n@@ -123752,7 +123188,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2020,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-01T00:01:58.948\",\n@@ -123775,7 +123210,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2021,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-09T15:22:37.841\",\n@@ -123798,7 +123232,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2022,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-08T16:59:39.507\",\n@@ -123821,7 +123254,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2023,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T17:00:26.651\",\n@@ -123844,7 +123276,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2024,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-02T14:16:44.510\",\n@@ -123867,7 +123298,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2025,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-19T01:55:35.901\",\n@@ -123890,7 +123320,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2026,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-05T18:39:46.512\",\n@@ -123913,7 +123342,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2027,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-12T09:10:02.075\",\n@@ -123936,7 +123364,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2028,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T22:24:32.499\",\n@@ -123959,7 +123386,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2029,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-13T21:45:40.702\",\n@@ -123982,7 +123408,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2030,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-14T23:53:58.898\",\n@@ -124005,7 +123430,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2031,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T23:11:01.948\",\n@@ -124028,7 +123452,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2032,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-08T09:39:25.200\",\n@@ -124051,7 +123474,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2033,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-24T01:55:55.757\",\n@@ -124074,7 +123496,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2034,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T16:31:05.952\",\n@@ -124097,7 +123518,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2035,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-07T10:56:47.547\",\n@@ -124120,7 +123540,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2036,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T22:55:31.384\",\n@@ -124143,7 +123562,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2037,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T17:41:35.461\",\n@@ -124166,7 +123584,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2038,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T19:39:30.929\",\n@@ -124189,7 +123606,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2039,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-04T23:02:51.134\",\n@@ -124212,7 +123628,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2040,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T15:56:56.046\",\n@@ -124235,7 +123650,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2041,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-03T00:24:41.228\",\n@@ -124258,7 +123672,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2042,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-09T10:24:28.384\",\n@@ -124281,7 +123694,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2043,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-01-24T16:51:00.749\",\n@@ -124304,7 +123716,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2044,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-02T14:11:53.731\",\n@@ -124327,7 +123738,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2045,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T14:51:13.092\",\n@@ -124350,7 +123760,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2046,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-04T11:33:59.881\",\n@@ -124373,7 +123782,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2047,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-10T15:28:22.492\",\n@@ -124396,7 +123804,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2048,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-31T10:43:28.497\",\n@@ -124419,7 +123826,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2049,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-04T13:52:43.099\",\n@@ -124442,7 +123848,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2050,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-04T12:51:48.135\",\n@@ -124465,7 +123870,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2051,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-01T17:54:29.760\",\n@@ -124488,7 +123892,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2052,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T15:09:14.183\",\n@@ -124511,7 +123914,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2053,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-07T11:36:11.243\",\n@@ -124534,7 +123936,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2054,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-24T14:49:39.646\",\n@@ -124557,7 +123958,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2055,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T17:13:30.103\",\n@@ -124580,7 +123980,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2056,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-05T17:14:15.435\",\n@@ -124603,7 +124002,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2057,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T17:20:02.891\",\n@@ -124626,7 +124024,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2058,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-05T18:13:41.775\",\n@@ -124649,7 +124046,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2059,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-12T11:08:20.214\",\n@@ -124672,7 +124068,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2060,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-07T21:55:50.678\",\n@@ -124695,7 +124090,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2061,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-19T03:13:00.219\",\n@@ -124718,7 +124112,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2062,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-09T00:01:19.137\",\n@@ -124741,7 +124134,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2063,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-08T23:54:56.905\",\n@@ -124764,7 +124156,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2064,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-13T15:37:07.066\",\n@@ -124787,7 +124178,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2065,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-09T07:10:29.849\",\n@@ -124810,7 +124200,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2066,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-09T07:16:09.848\",\n@@ -124833,7 +124222,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2067,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-09T15:39:12.208\",\n@@ -124856,7 +124244,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2068,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T15:52:06.542\",\n@@ -124879,7 +124266,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2069,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T20:18:44.343\",\n@@ -124902,7 +124288,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2070,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-24T14:54:21.051\",\n@@ -124925,7 +124310,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2071,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T16:26:07.007\",\n@@ -124948,7 +124332,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2072,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T19:35:24.016\",\n@@ -124971,7 +124354,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2073,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-04T17:07:50.308\",\n@@ -124994,7 +124376,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2074,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-05T17:44:05.374\",\n@@ -125017,7 +124398,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2075,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-05T19:42:28.586\",\n@@ -125040,7 +124420,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2076,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-08T23:58:00.245\",\n@@ -125063,7 +124442,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2078,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T23:32:32.440\",\n@@ -125086,7 +124464,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2079,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T16:31:55.267\",\n@@ -125109,7 +124486,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2086,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-13T09:17:33.402\",\n@@ -125128,14 +124504,17 @@\n \"user_permissions\": [],\n \"delegates\": [],\n \"cc_users\": [\n- 2217,\n- 249\n+ [\n+ \"nicholle.boyce\"\n+ ],\n+ [\n+ \"sunni.hollingsworth\"\n+ ]\n ]\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2087,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-01-24T16:51:30.301\",\n@@ -125158,7 +124537,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2089,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-07T22:00:32.077\",\n@@ -125181,7 +124559,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2091,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T18:56:39.344\",\n@@ -125204,7 +124581,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2093,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-08T08:21:14.072\",\n@@ -125227,7 +124603,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2094,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T23:21:18.491\",\n@@ -125250,7 +124625,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2095,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-31T08:23:30.741\",\n@@ -125273,7 +124647,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2097,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-10T10:17:06.005\",\n@@ -125296,7 +124669,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2098,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-06T13:16:27.116\",\n@@ -125319,7 +124691,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2099,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-03T00:09:16.700\",\n@@ -125342,7 +124713,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2100,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-03-01T10:52:08.996\",\n@@ -125365,7 +124735,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2101,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T16:14:04.758\",\n@@ -125388,7 +124757,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2105,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-28T10:29:06.118\",\n@@ -125411,7 +124779,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2106,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T15:15:05.402\",\n@@ -125434,7 +124801,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2110,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-01-24T16:51:53.099\",\n@@ -125457,7 +124823,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2111,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-01-24T16:51:54.036\",\n@@ -125480,7 +124845,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2118,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-01-25T17:20:03.827\",\n@@ -125503,7 +124867,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2119,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-01-29T12:50:26.253\",\n@@ -125526,7 +124889,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2123,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-02T17:22:15.401\",\n@@ -125549,7 +124911,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2125,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T12:59:59\",\n@@ -125572,7 +124933,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2126,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-01-31T17:28:32.063\",\n@@ -125595,7 +124955,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2127,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-01-31T17:28:34.838\",\n@@ -125618,7 +124977,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2130,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-02-03T21:04:16.840\",\n@@ -125641,7 +124999,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2132,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-21T09:40:51.496\",\n@@ -125664,7 +125021,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2134,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-27T10:05:08.265\",\n@@ -125687,7 +125043,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2135,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-04-22T11:26:34.368\",\n@@ -125710,7 +125065,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2137,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T20:52:03.373\",\n@@ -125733,7 +125087,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2138,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T16:47:01.203\",\n@@ -125756,7 +125109,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2139,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-22T16:09:29.496\",\n@@ -125779,7 +125131,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2140,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-04T08:18:25.620\",\n@@ -125802,7 +125153,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2141,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-18T19:20:53.058\",\n@@ -125825,7 +125175,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2143,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-27T11:06:20.424\",\n@@ -125848,7 +125197,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2144,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:29.477\",\n@@ -125871,7 +125219,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2145,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-15T13:21:49.719\",\n@@ -125889,15 +125236,18 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 2217,\n- 249\n+ [\n+ \"nicholle.boyce\"\n+ ],\n+ [\n+ \"sunni.hollingsworth\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2147,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:31.503\",\n@@ -125920,7 +125270,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2148,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:33.539\",\n@@ -125943,7 +125292,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2149,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:35.748\",\n@@ -125966,7 +125314,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2150,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:35.791\",\n@@ -125989,7 +125336,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2151,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:35.832\",\n@@ -126012,7 +125358,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2152,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-19T09:44:02.379\",\n@@ -126035,7 +125380,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2153,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:35.915\",\n@@ -126058,7 +125402,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2154,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:35.957\",\n@@ -126081,7 +125424,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2155,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:36.002\",\n@@ -126104,7 +125446,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2156,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-23T20:05:11.967\",\n@@ -126127,7 +125468,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2157,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-19T10:44:51.953\",\n@@ -126150,7 +125490,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2158,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:36.132\",\n@@ -126173,7 +125512,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2159,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:36.174\",\n@@ -126196,7 +125534,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2160,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:36.216\",\n@@ -126219,7 +125556,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2161,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:36.258\",\n@@ -126242,7 +125578,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2162,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:36.300\",\n@@ -126265,7 +125600,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2163,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-19T20:01:22.150\",\n@@ -126288,7 +125622,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2164,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:36.384\",\n@@ -126311,7 +125644,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2165,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:36.426\",\n@@ -126334,7 +125666,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2166,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:36.479\",\n@@ -126357,7 +125688,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2167,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:36.522\",\n@@ -126380,7 +125710,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2168,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-21T20:52:56.417\",\n@@ -126403,7 +125732,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2169,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:36.606\",\n@@ -126426,7 +125754,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2170,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:36.648\",\n@@ -126449,7 +125776,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2171,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:36.690\",\n@@ -126472,7 +125798,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2172,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:36.732\",\n@@ -126495,7 +125820,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2173,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-21T14:13:20.051\",\n@@ -126518,7 +125842,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2174,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:36.815\",\n@@ -126541,7 +125864,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2176,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:40.559\",\n@@ -126564,7 +125886,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2178,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:41.626\",\n@@ -126587,7 +125908,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2181,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:49.383\",\n@@ -126610,7 +125930,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2182,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:52.747\",\n@@ -126633,7 +125952,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2183,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:54.391\",\n@@ -126656,7 +125974,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2184,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:43:57.125\",\n@@ -126679,7 +125996,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2186,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:44:00.267\",\n@@ -126702,7 +126018,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2189,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:44:05.777\",\n@@ -126725,7 +126040,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2190,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-13T23:44:18.052\",\n@@ -126748,7 +126062,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2192,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-09-23T20:19:26.722\",\n@@ -126771,7 +126084,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2194,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-02T13:45:32.397\",\n@@ -126794,7 +126106,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2196,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-19T14:46:14.587\",\n@@ -126817,7 +126128,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2197,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-07T09:04:51.478\",\n@@ -126840,7 +126150,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2198,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-06-28T15:29:33.590\",\n@@ -126863,7 +126172,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2199,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-01T21:17:50.858\",\n@@ -126886,7 +126194,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2200,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-01T21:18:24.621\",\n@@ -126909,7 +126216,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2201,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-02T07:40:50.269\",\n@@ -126932,7 +126238,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2202,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-02T10:13:59.379\",\n@@ -126955,7 +126260,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2205,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-23T13:35:18.855\",\n@@ -126978,7 +126282,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2210,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-07-14T12:56:16.798\",\n@@ -127001,7 +126304,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2211,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-06-02T23:42:55.994\",\n@@ -127024,7 +126326,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2212,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-06T19:38:33.700\",\n@@ -127047,7 +126348,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2213,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T17:51:05.116\",\n@@ -127070,7 +126370,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2214,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-10T16:59:40.468\",\n@@ -127093,7 +126392,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2215,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-10-23T16:09:52.798\",\n@@ -127116,7 +126414,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2217,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-13T15:21:44.045\",\n@@ -127139,7 +126436,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2218,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T18:02:35.335\",\n@@ -127162,7 +126458,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2219,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T18:41:43.424\",\n@@ -127185,7 +126480,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2220,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T22:48:54.132\",\n@@ -127208,7 +126502,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2221,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-31T14:00:23.895\",\n@@ -127231,7 +126524,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2222,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T17:49:27.553\",\n@@ -127254,7 +126546,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2223,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T23:14:22.839\",\n@@ -127277,7 +126568,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2224,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T10:53:19.069\",\n@@ -127300,7 +126590,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2225,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T12:48:59.772\",\n@@ -127323,7 +126612,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2226,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T17:48:33.692\",\n@@ -127346,7 +126634,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2227,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T11:50:48.658\",\n@@ -127369,7 +126656,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2228,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-18T20:46:14.824\",\n@@ -127392,7 +126678,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2229,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-22T16:32:36.064\",\n@@ -127415,7 +126700,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2230,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T21:16:47.777\",\n@@ -127438,7 +126722,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2231,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T03:30:51.032\",\n@@ -127461,7 +126744,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2232,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$20000$W777baxi62RX$1un4e0MdvQvKWTwBBkO/TLOaHGBh1QDQ0XkNreDk77U=\",\n \"last_login\": \"2015-11-08T14:34:22.886\",\n@@ -127484,7 +126766,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2233,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T17:46:12.938\",\n@@ -127507,7 +126788,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2234,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T10:40:45.594\",\n@@ -127530,7 +126810,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2235,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T14:00:42.693\",\n@@ -127553,7 +126832,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2236,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-11T08:07:47.300\",\n@@ -127576,7 +126854,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2237,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2013-12-19T09:21:30.582\",\n@@ -127599,7 +126876,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2238,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-31T00:06:58.086\",\n@@ -127622,7 +126898,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2240,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T15:26:09.952\",\n@@ -127645,7 +126920,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2241,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T10:35:48.764\",\n@@ -127668,7 +126942,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2242,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T17:10:23.915\",\n@@ -127691,7 +126964,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2243,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-28T19:12:07.601\",\n@@ -127714,7 +126986,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2244,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T12:37:19.033\",\n@@ -127737,7 +127008,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2247,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-08T23:16:58.210\",\n@@ -127760,7 +127030,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2248,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-08T23:16:58.243\",\n@@ -127783,7 +127052,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2251,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-08T23:16:58.289\",\n@@ -127806,7 +127074,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2252,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-04T22:35:17.346\",\n@@ -127829,7 +127096,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2253,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T18:46:33.937\",\n@@ -127852,7 +127118,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2254,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T12:07:26.020\",\n@@ -127875,7 +127140,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2255,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T11:12:24.352\",\n@@ -127898,7 +127162,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2256,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-17T12:09:33.327\",\n@@ -127921,7 +127184,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2257,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-06-03T09:03:55.162\",\n@@ -127937,7 +127199,9 @@\n \"login_key_valid_until\": null,\n \"is_active\": true,\n \"groups\": [\n- 1\n+ [\n+ \"Manager\"\n+ ]\n ],\n \"user_permissions\": [],\n \"delegates\": [],\n@@ -127946,7 +127210,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2258,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-05T18:14:14.763\",\n@@ -127969,7 +127232,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2259,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T13:34:34.741\",\n@@ -127992,7 +127254,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2260,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T17:27:58.283\",\n@@ -128015,7 +127276,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2261,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T16:47:15.216\",\n@@ -128038,7 +127298,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2262,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-08T23:16:58.960\",\n@@ -128061,7 +127320,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2263,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T15:34:05.088\",\n@@ -128084,7 +127342,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2264,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-04T11:20:07.995\",\n@@ -128107,7 +127364,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2265,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T11:43:21.320\",\n@@ -128130,7 +127386,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2266,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-08T23:16:59.066\",\n@@ -128153,7 +127408,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2267,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T18:30:26.255\",\n@@ -128176,7 +127430,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2268,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-05T17:33:28.724\",\n@@ -128199,7 +127452,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2269,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-08T23:16:59.167\",\n@@ -128222,7 +127474,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2270,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T16:06:06.514\",\n@@ -128245,7 +127496,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2271,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-01T13:44:58.055\",\n@@ -128268,7 +127518,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2272,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T11:14:27.587\",\n@@ -128291,7 +127540,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2273,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T10:36:28.123\",\n@@ -128314,7 +127562,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2274,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-10T19:45:58.706\",\n@@ -128337,7 +127584,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2275,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-01T13:05:15.478\",\n@@ -128360,7 +127606,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2276,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-17T11:38:57.616\",\n@@ -128383,7 +127628,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2277,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-08T10:25:33.348\",\n@@ -128406,7 +127650,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2278,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T12:12:12.133\",\n@@ -128429,7 +127672,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2279,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T12:49:56.336\",\n@@ -128452,7 +127694,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2280,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-06T23:59:45.260\",\n@@ -128475,7 +127716,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2281,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T19:12:28.541\",\n@@ -128498,7 +127738,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2282,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T10:58:31.778\",\n@@ -128521,7 +127760,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2283,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T17:53:39.160\",\n@@ -128544,7 +127782,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2284,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-08T23:16:59.931\",\n@@ -128567,7 +127804,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2285,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-10T13:13:09.375\",\n@@ -128590,7 +127826,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2286,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-05T19:03:40.918\",\n@@ -128613,7 +127848,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2287,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-30T13:29:27.440\",\n@@ -128636,7 +127870,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2288,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-08T23:17:00.104\",\n@@ -128659,7 +127892,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2289,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-08T23:17:00.144\",\n@@ -128682,7 +127914,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2290,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T15:47:47.021\",\n@@ -128705,7 +127936,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2291,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T13:31:15.967\",\n@@ -128728,7 +127958,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2292,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T10:37:38.325\",\n@@ -128751,7 +127980,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2293,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-08T17:58:42.666\",\n@@ -128774,7 +128002,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2294,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-08T23:17:00.371\",\n@@ -128797,7 +128024,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2295,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-08T23:17:00.411\",\n@@ -128820,7 +128046,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2296,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-12T09:11:11.774\",\n@@ -128843,7 +128068,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2297,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T17:17:20.145\",\n@@ -128866,7 +128090,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2298,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-12T10:36:15.264\",\n@@ -128889,7 +128112,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2299,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T16:06:34.277\",\n@@ -128912,7 +128134,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2300,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-05T12:00:29.473\",\n@@ -128935,7 +128156,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2301,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-13T08:51:46.860\",\n@@ -128958,7 +128178,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2302,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-04T08:17:15.290\",\n@@ -128981,7 +128200,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2303,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-05T09:32:29.397\",\n@@ -129004,7 +128222,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2304,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-04T15:18:16.091\",\n@@ -129027,7 +128244,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2305,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T22:24:02.751\",\n@@ -129050,7 +128266,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2306,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T10:35:51.844\",\n@@ -129073,7 +128288,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2307,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T16:34:13.221\",\n@@ -129096,7 +128310,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2308,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-01T13:11:17.485\",\n@@ -129119,7 +128332,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2310,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-08T23:17:02.217\",\n@@ -129142,7 +128354,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2311,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-08T23:17:02.234\",\n@@ -129165,7 +128376,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2312,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-08T23:17:02.247\",\n@@ -129188,7 +128398,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2314,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-31T10:40:42.034\",\n@@ -129211,7 +128420,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2315,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-11T21:05:51.120\",\n@@ -129234,7 +128442,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2317,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-08T23:17:04.495\",\n@@ -129257,7 +128464,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2319,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-23T16:12:02.409\",\n@@ -129275,14 +128481,15 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 395\n+ [\n+ \"al.jean\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2320,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-08T23:17:10.316\",\n@@ -129305,7 +128512,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2322,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-08T23:17:14.490\",\n@@ -129328,7 +128534,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2324,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T19:06:39.338\",\n@@ -129351,7 +128556,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2325,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-23T12:34:57.219\",\n@@ -129369,15 +128573,18 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 2217,\n- 249\n+ [\n+ \"nicholle.boyce\"\n+ ],\n+ [\n+ \"sunni.hollingsworth\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2326,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-01-29T17:32:33.519\",\n@@ -129396,14 +128603,17 @@\n \"user_permissions\": [],\n \"delegates\": [],\n \"cc_users\": [\n- 2217,\n- 249\n+ [\n+ \"nicholle.boyce\"\n+ ],\n+ [\n+ \"sunni.hollingsworth\"\n+ ]\n ]\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2330,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-16T09:26:54.996\",\n@@ -129421,15 +128631,18 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 2217,\n- 249\n+ [\n+ \"nicholle.boyce\"\n+ ],\n+ [\n+ \"sunni.hollingsworth\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2336,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-10T09:58:11.987\",\n@@ -129452,7 +128665,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2337,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-02-10T09:31:48.593\",\n@@ -129475,7 +128687,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2341,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-05-11T15:51:00.667\",\n@@ -129493,15 +128704,18 @@\n \"groups\": [],\n \"user_permissions\": [],\n \"delegates\": [\n- 2217,\n- 249\n+ [\n+ \"nicholle.boyce\"\n+ ],\n+ [\n+ \"sunni.hollingsworth\"\n+ ]\n ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2345,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-23T22:42:08.010\",\n@@ -129524,7 +128738,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2349,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-23T23:03:16.324\",\n@@ -129547,7 +128760,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2350,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-24T10:25:43.302\",\n@@ -129570,7 +128782,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2353,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-23T23:05:59.690\",\n@@ -129593,7 +128804,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2355,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-03-30T16:53:27.693\",\n@@ -129616,7 +128826,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2357,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-01T14:26:12.951\",\n@@ -129639,7 +128848,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2359,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$12000$lRV0h1V7qLSK$pKzYyUhT7l65JxoIv7Du3btUHYzfGCZ81JFtbF9ymOY=\",\n \"last_login\": \"2014-04-15T14:37:53.714\",\n@@ -129662,7 +128870,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2370,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$100000$OqMHXWeUCCnd$0/jerl1QOWflFRxWyz1LNdEQBEZrYkLEUOQsspUB/70=\",\n \"last_login\": \"2017-12-23T18:14:16.042\",\n@@ -129678,7 +128885,9 @@\n \"login_key_valid_until\": null,\n \"is_active\": true,\n \"groups\": [\n- 3\n+ [\n+ \"Grade publisher\"\n+ ]\n ],\n \"user_permissions\": [],\n \"delegates\": [],\n@@ -129687,7 +128896,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2373,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$30000$fxnctep4sBM1$EvsaesmX21Z8vRLdBFKPqHJ1AzW9vlXBwo8740hIrKQ=\",\n \"last_login\": null,\n@@ -129703,7 +128911,9 @@\n \"login_key_valid_until\": null,\n \"is_active\": true,\n \"groups\": [\n- 2\n+ [\n+ \"Reviewer\"\n+ ]\n ],\n \"user_permissions\": [],\n \"delegates\": [],\n@@ -129712,7 +128922,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2374,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$30000$fxnctep4sBM1$EvsaesmX21Z8vRLdBFKPqHJ1AzW9vlXBwo8740hIrKQ=\",\n \"last_login\": null,\n@@ -129728,16 +128937,24 @@\n \"login_key_valid_until\": null,\n \"is_active\": true,\n \"groups\": [\n- 2\n+ [\n+ \"Reviewer\"\n+ ]\n ],\n \"user_permissions\": [],\n- \"delegates\": [2375, 2376],\n+ \"delegates\": [\n+ [\n+ \"proxy_delegate\"\n+ ],\n+ [\n+ \"proxy_delegate_2\"\n+ ]\n+ ],\n \"cc_users\": []\n }\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2375,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$30000$fxnctep4sBM1$EvsaesmX21Z8vRLdBFKPqHJ1AzW9vlXBwo8740hIrKQ=\",\n \"last_login\": null,\n@@ -129753,7 +128970,9 @@\n \"login_key_valid_until\": null,\n \"is_active\": true,\n \"groups\": [\n- 2\n+ [\n+ \"Reviewer\"\n+ ]\n ],\n \"user_permissions\": [],\n \"delegates\": [],\n@@ -129762,7 +128981,6 @@\n },\n {\n \"model\": \"evaluation.userprofile\",\n- \"pk\": 2376,\n \"fields\": {\n \"password\": \"pbkdf2_sha256$30000$fxnctep4sBM1$EvsaesmX21Z8vRLdBFKPqHJ1AzW9vlXBwo8740hIrKQ=\",\n \"last_login\": null,\n@@ -129783,6 +129001,28 @@\n \"cc_users\": []\n }\n },\n+{\n+ \"model\": \"evaluation.userprofile\",\n+ \"fields\": {\n+ \"password\": \"\",\n+ \"last_login\": \"2019-10-28T17:52:34.380\",\n+ \"is_superuser\": false,\n+ \"username\": \"richard.ebeling\",\n+ \"email\": \"richard.ebeling@student.hpi.de\",\n+ \"title\": null,\n+ \"first_name\": \"Richard\",\n+ \"last_name\": \"Ebeling\",\n+ \"language\": \"en\",\n+ \"is_proxy_user\": false,\n+ \"login_key\": null,\n+ \"login_key_valid_until\": null,\n+ \"is_active\": true,\n+ \"groups\": [],\n+ \"user_permissions\": [],\n+ \"delegates\": [],\n+ \"cc_users\": []\n+ }\n+},\n {\n \"model\": \"evaluation.emailtemplate\",\n \"pk\": 1,\n@@ -129868,7 +129108,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 1,\n \"fields\": {\n- \"user_profile\": 2227,\n+ \"user_profile\": [\n+ \"elfriede.aguiar\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:23.413\",\n \"value\": 3\n@@ -129878,7 +129120,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 2,\n \"fields\": {\n- \"user_profile\": 562,\n+ \"user_profile\": [\n+ \"damion.aiken\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:23.424\",\n \"value\": 3\n@@ -129888,7 +129132,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 3,\n \"fields\": {\n- \"user_profile\": 1839,\n+ \"user_profile\": [\n+ \"heide.andrew\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:23.455\",\n \"value\": 3\n@@ -129898,7 +129144,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 4,\n \"fields\": {\n- \"user_profile\": 608,\n+ \"user_profile\": [\n+ \"valda.antoine\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:23.463\",\n \"value\": 3\n@@ -129908,7 +129156,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 5,\n \"fields\": {\n- \"user_profile\": 2232,\n+ \"user_profile\": [\n+ \"alisa.askew\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:23.476\",\n \"value\": 3\n@@ -129918,7 +129168,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 6,\n \"fields\": {\n- \"user_profile\": 696,\n+ \"user_profile\": [\n+ \"kristina.baker\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:23.484\",\n \"value\": 3\n@@ -129928,7 +129180,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 7,\n \"fields\": {\n- \"user_profile\": 546,\n+ \"user_profile\": [\n+ \"justa.baughman\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:23.514\",\n \"value\": 3\n@@ -129938,7 +129192,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 8,\n \"fields\": {\n- \"user_profile\": 568,\n+ \"user_profile\": [\n+ \"conception.belt\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:23.529\",\n \"value\": 3\n@@ -129948,7 +129204,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 9,\n \"fields\": {\n- \"user_profile\": 713,\n+ \"user_profile\": [\n+ \"gwyn.berger\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:23.536\",\n \"value\": 3\n@@ -129958,7 +129216,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 10,\n \"fields\": {\n- \"user_profile\": 2064,\n+ \"user_profile\": [\n+ \"elfrieda.bess\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:23.541\",\n \"value\": 3\n@@ -129968,7 +129228,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 11,\n \"fields\": {\n- \"user_profile\": 800,\n+ \"user_profile\": [\n+ \"hester.bettencourt\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:23.548\",\n \"value\": 3\n@@ -129978,7 +129240,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 12,\n \"fields\": {\n- \"user_profile\": 819,\n+ \"user_profile\": [\n+ \"cherly.bobbitt\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:23.572\",\n \"value\": 3\n@@ -129988,7 +129252,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 13,\n \"fields\": {\n- \"user_profile\": 2235,\n+ \"user_profile\": [\n+ \"herta.bourne\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:23.600\",\n \"value\": 3\n@@ -129998,7 +129264,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 14,\n \"fields\": {\n- \"user_profile\": 2218,\n+ \"user_profile\": [\n+ \"kristi.boykin\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:23.612\",\n \"value\": 3\n@@ -130008,7 +129276,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 15,\n \"fields\": {\n- \"user_profile\": 726,\n+ \"user_profile\": [\n+ \"salina.boykin\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:23.617\",\n \"value\": 3\n@@ -130018,7 +129288,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 16,\n \"fields\": {\n- \"user_profile\": 2244,\n+ \"user_profile\": [\n+ \"christine.brinkley\"\n+ ],\n \"semester\": 19,\n \"granting_time\": 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\"fields\": {\n- \"user_profile\": 2272,\n+ \"user_profile\": [\n+ \"ingrid.trice\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:25.418\",\n \"value\": 3\n@@ -131158,7 +130656,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 130,\n \"fields\": {\n- \"user_profile\": 2223,\n+ \"user_profile\": [\n+ \"brianna.true\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:25.423\",\n \"value\": 3\n@@ -131168,7 +130668,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 131,\n \"fields\": {\n- \"user_profile\": 2274,\n+ \"user_profile\": [\n+ \"shandra.turner\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:25.430\",\n \"value\": 3\n@@ -131178,7 +130680,9 @@\n \"model\": \"rewards.rewardpointgranting\",\n \"pk\": 132,\n \"fields\": {\n- \"user_profile\": 2053,\n+ \"user_profile\": [\n+ \"shelia.turney\"\n+ ],\n \"semester\": 19,\n \"granting_time\": \"2015-11-08T14:27:25.434\",\n \"value\": 3\n@@ -131188,7 +130692,9 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\"label\": null,\n@@ -134153,7 +133971,9 @@\n \"pk\": 1810,\n \"fields\": {\n \"evaluation\": 648,\n- \"contributor\": 973,\n+ \"contributor\": [\n+ \"dorla.hudgins.ext\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -134169,7 +133989,9 @@\n \"pk\": 1811,\n \"fields\": {\n \"evaluation\": 648,\n- \"contributor\": 1108,\n+ \"contributor\": [\n+ \"zita.marshall.ext\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -134185,7 +134007,9 @@\n \"pk\": 1812,\n \"fields\": {\n \"evaluation\": 648,\n- \"contributor\": 1109,\n+ \"contributor\": [\n+ \"madaline.marcum.ext\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -134202,7 +134026,9 @@\n \"pk\": 1822,\n \"fields\": {\n \"evaluation\": 665,\n- \"contributor\": 99,\n+ \"contributor\": [\n+ \"sindy.boisvert\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -134218,7 +134044,9 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\"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -134508,7 +134368,9 @@\n \"pk\": 1867,\n \"fields\": {\n \"evaluation\": 654,\n- \"contributor\": 482,\n+ \"contributor\": [\n+ \"kyra.hart\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -134524,7 +134386,9 @@\n \"pk\": 1868,\n \"fields\": {\n \"evaluation\": 654,\n- \"contributor\": 982,\n+ \"contributor\": [\n+ \"malika.hansen\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -134540,7 +134404,9 @@\n \"pk\": 1869,\n \"fields\": {\n \"evaluation\": 654,\n- \"contributor\": 1119,\n+ \"contributor\": [\n+ \"tequila.huang\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -134556,7 +134422,9 @@\n \"pk\": 1870,\n \"fields\": {\n \"evaluation\": 654,\n- \"contributor\": 145,\n+ \"contributor\": [\n+ \"beth.carlton\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -134572,7 +134440,9 @@\n \"pk\": 1871,\n \"fields\": {\n \"evaluation\": 654,\n- \"contributor\": 984,\n+ \"contributor\": [\n+ \"alix.mancini\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -134588,7 +134458,9 @@\n \"pk\": 1872,\n \"fields\": {\n \"evaluation\": 655,\n- \"contributor\": 482,\n+ \"contributor\": [\n+ \"kyra.hart\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -134604,7 +134476,9 @@\n \"pk\": 1873,\n \"fields\": {\n \"evaluation\": 655,\n- \"contributor\": 982,\n+ \"contributor\": [\n+ \"malika.hansen\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -134620,7 +134494,9 @@\n \"pk\": 1874,\n \"fields\": {\n \"evaluation\": 655,\n- \"contributor\": 1120,\n+ \"contributor\": [\n+ \"xavier.luciano\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -134636,7 +134512,9 @@\n \"pk\": 1880,\n \"fields\": {\n \"evaluation\": 682,\n- \"contributor\": 986,\n+ \"contributor\": [\n+ \"sherlene.bobbitt.ext\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -134652,7 +134530,9 @@\n \"pk\": 1881,\n \"fields\": {\n \"evaluation\": 682,\n- \"contributor\": 985,\n+ \"contributor\": [\n+ \"olivia.trevino\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -134668,7 +134548,9 @@\n \"pk\": 1884,\n \"fields\": {\n \"evaluation\": 697,\n- \"contributor\": 419,\n+ \"contributor\": [\n+ \"tonita.gallardo\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -134701,7 +134583,9 @@\n \"pk\": 1922,\n \"fields\": {\n \"evaluation\": 730,\n- \"contributor\": 937,\n+ \"contributor\": [\n+ \"sonia.dominguez.ext\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -134737,7 +134621,9 @@\n \"pk\": 3355,\n \"fields\": {\n \"evaluation\": 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\"contributor\": [\n+ \"responsible\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -134903,7 +134797,9 @@\n \"pk\": 3395,\n \"fields\": {\n \"evaluation\": 1474,\n- \"contributor\": 127,\n+ \"contributor\": [\n+ \"elena.kline\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -134936,7 +134832,9 @@\n \"pk\": 3405,\n \"fields\": {\n \"evaluation\": 1479,\n- \"contributor\": 2341,\n+ \"contributor\": [\n+ \"luciana.graves\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -134972,7 +134870,9 @@\n \"pk\": 3407,\n \"fields\": {\n \"evaluation\": 1480,\n- \"contributor\": 222,\n+ \"contributor\": [\n+ \"evie.martz\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135004,7 +134904,9 @@\n \"pk\": 3417,\n \"fields\": {\n \"evaluation\": 1485,\n- \"contributor\": 255,\n+ \"contributor\": [\n+ \"responsible\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135038,7 +134940,9 @@\n \"pk\": 3423,\n \"fields\": {\n \"evaluation\": 1488,\n- \"contributor\": 251,\n+ \"contributor\": [\n+ \"kindra.hancock.ext\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135073,7 +134977,9 @@\n \"pk\": 3435,\n \"fields\": {\n \"evaluation\": 1494,\n- \"contributor\": 2086,\n+ \"contributor\": [\n+ \"amelia.handy.ext\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135121,11 +135027,13 @@\n \"pk\": 3443,\n \"fields\": {\n \"evaluation\": 1498,\n- \"contributor\": 255,\n+ \"contributor\": [\n+ \"responsible\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n- \"order\": 1,\n+ \"order\": 2,\n \"questionnaires\": []\n }\n },\n@@ -135151,7 +135059,9 @@\n \"pk\": 3445,\n \"fields\": {\n \"evaluation\": 1499,\n- \"contributor\": 255,\n+ \"contributor\": [\n+ \"responsible\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135183,7 +135093,9 @@\n \"pk\": 3447,\n \"fields\": {\n \"evaluation\": 1500,\n- \"contributor\": 641,\n+ \"contributor\": [\n+ \"sandee.coker\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135214,7 +135126,9 @@\n \"pk\": 3451,\n \"fields\": {\n \"evaluation\": 1502,\n- \"contributor\": 2325,\n+ \"contributor\": [\n+ \"mariann.locke.ext\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135247,7 +135161,9 @@\n \"pk\": 3453,\n \"fields\": {\n \"evaluation\": 1503,\n- \"contributor\": 204,\n+ \"contributor\": [\n+ \"lizabeth.steward\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135280,7 +135196,9 @@\n \"pk\": 3455,\n \"fields\": {\n \"evaluation\": 1504,\n- \"contributor\": 484,\n+ \"contributor\": [\n+ \"harriet.rushing\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135310,7 +135228,9 @@\n \"pk\": 3459,\n \"fields\": {\n \"evaluation\": 1506,\n- \"contributor\": 648,\n+ \"contributor\": [\n+ \"henriette.park\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135338,7 +135258,9 @@\n \"pk\": 3461,\n \"fields\": {\n \"evaluation\": 1507,\n- \"contributor\": 234,\n+ \"contributor\": [\n+ \"lahoma.gage\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135370,7 +135292,9 @@\n \"pk\": 3463,\n \"fields\": {\n \"evaluation\": 1508,\n- \"contributor\": 1075,\n+ \"contributor\": [\n+ \"trudie.huntley\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135403,7 +135327,9 @@\n \"pk\": 3467,\n \"fields\": {\n \"evaluation\": 1510,\n- \"contributor\": 127,\n+ \"contributor\": [\n+ \"elena.kline\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135438,7 +135364,9 @@\n \"pk\": 3473,\n \"fields\": {\n \"evaluation\": 1513,\n- \"contributor\": 994,\n+ \"contributor\": [\n+ \"merle.higdon.ext\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135473,7 +135401,9 @@\n \"pk\": 3475,\n \"fields\": {\n \"evaluation\": 1514,\n- \"contributor\": 236,\n+ \"contributor\": [\n+ \"ingeborg.herring\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135504,7 +135434,9 @@\n \"pk\": 3483,\n \"fields\": {\n \"evaluation\": 1518,\n- \"contributor\": 234,\n+ \"contributor\": [\n+ \"lahoma.gage\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135535,7 +135467,9 @@\n \"pk\": 3487,\n \"fields\": {\n \"evaluation\": 1520,\n- \"contributor\": 236,\n+ \"contributor\": [\n+ \"ingeborg.herring\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135568,7 +135502,9 @@\n \"pk\": 3497,\n \"fields\": {\n \"evaluation\": 1525,\n- \"contributor\": 236,\n+ \"contributor\": [\n+ \"ingeborg.herring\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135600,7 +135536,9 @@\n \"pk\": 3509,\n \"fields\": {\n \"evaluation\": 1531,\n- \"contributor\": 236,\n+ \"contributor\": [\n+ \"ingeborg.herring\"\n+ ],\n \"can_edit\": true,\n \"textanswer_visibility\": \"GENERAL\",\n \"label\": null,\n@@ -135616,7 +135554,9 @@\n \"pk\": 3515,\n \"fields\": {\n \"evaluation\": 1531,\n- \"contributor\": 495,\n+ \"contributor\": [\n+ \"juanita.kimbrough\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -135632,7 +135572,9 @@\n \"pk\": 3516,\n \"fields\": {\n \"evaluation\": 1520,\n- \"contributor\": 578,\n+ \"contributor\": [\n+ \"darnell.aguilera\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -135649,7 +135591,9 @@\n \"pk\": 3517,\n \"fields\": {\n \"evaluation\": 1520,\n- \"contributor\": 28,\n+ \"contributor\": [\n+ \"lynn.baptiste\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -135666,7 +135610,9 @@\n \"pk\": 3518,\n \"fields\": {\n \"evaluation\": 1520,\n- \"contributor\": 274,\n+ \"contributor\": [\n+ \"janna.langlois\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -135683,7 +135629,9 @@\n \"pk\": 3519,\n \"fields\": {\n \"evaluation\": 1514,\n- \"contributor\": 490,\n+ \"contributor\": [\n+ \"elbert.baber.ext\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -135699,7 +135647,9 @@\n \"pk\": 3525,\n \"fields\": {\n \"evaluation\": 1460,\n- \"contributor\": 28,\n+ \"contributor\": [\n+ \"lynn.baptiste\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -135715,7 +135665,9 @@\n \"pk\": 3526,\n \"fields\": {\n \"evaluation\": 1460,\n- \"contributor\": 1084,\n+ \"contributor\": [\n+ \"melania.wolfe\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -135731,7 +135683,9 @@\n \"pk\": 3528,\n \"fields\": {\n \"evaluation\": 1510,\n- \"contributor\": 217,\n+ \"contributor\": [\n+ \"tanna.worsham.ext\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -135748,7 +135702,9 @@\n \"pk\": 3529,\n \"fields\": {\n \"evaluation\": 1474,\n- \"contributor\": 14,\n+ \"contributor\": [\n+ \"willena.hemphill\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -135764,7 +135720,9 @@\n \"pk\": 3530,\n \"fields\": {\n \"evaluation\": 1474,\n- \"contributor\": 217,\n+ \"contributor\": [\n+ \"tanna.worsham.ext\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -135781,7 +135739,9 @@\n \"pk\": 3536,\n \"fields\": {\n \"evaluation\": 1518,\n- \"contributor\": 318,\n+ \"contributor\": [\n+ \"laurence.tipton\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -135797,7 +135757,9 @@\n \"pk\": 3545,\n \"fields\": {\n \"evaluation\": 1497,\n- \"contributor\": 985,\n+ \"contributor\": [\n+ \"olivia.trevino\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -135814,7 +135776,9 @@\n \"pk\": 3546,\n \"fields\": {\n \"evaluation\": 1497,\n- \"contributor\": 326,\n+ \"contributor\": [\n+ \"junie.hicks\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -135831,7 +135795,9 @@\n \"pk\": 3551,\n \"fields\": {\n \"evaluation\": 1472,\n- \"contributor\": 987,\n+ \"contributor\": [\n+ \"doria.matthews\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -135847,7 +135813,9 @@\n \"pk\": 3552,\n \"fields\": {\n \"evaluation\": 1472,\n- 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\"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -137545,7 +137653,9 @@\n \"pk\": 3847,\n \"fields\": {\n \"evaluation\": 1563,\n- \"contributor\": 495,\n+ \"contributor\": [\n+ \"juanita.kimbrough\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -137561,7 +137671,9 @@\n \"pk\": 3848,\n \"fields\": {\n \"evaluation\": 1563,\n- \"contributor\": 28,\n+ \"contributor\": [\n+ \"lynn.baptiste\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -137577,7 +137689,9 @@\n \"pk\": 3849,\n \"fields\": {\n \"evaluation\": 1595,\n- \"contributor\": 1075,\n+ \"contributor\": [\n+ \"trudie.huntley\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -137593,7 +137707,9 @@\n \"pk\": 3852,\n \"fields\": {\n \"evaluation\": 1595,\n- \"contributor\": 2192,\n+ \"contributor\": [\n+ \"silva.couture\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -137609,7 +137725,9 @@\n \"pk\": 3855,\n \"fields\": {\n \"evaluation\": 1569,\n- \"contributor\": 993,\n+ \"contributor\": [\n+ \"beau.saunders.ext\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -137625,7 +137743,9 @@\n \"pk\": 3859,\n \"fields\": {\n \"evaluation\": 1570,\n- \"contributor\": 1005,\n+ \"contributor\": [\n+ \"millard.heath.ext\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -137641,7 +137761,9 @@\n \"pk\": 3862,\n \"fields\": {\n \"evaluation\": 1600,\n- \"contributor\": 2194,\n+ \"contributor\": [\n+ \"anglea.akers\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n \"label\": null,\n@@ -137657,7 +137779,9 @@\n \"pk\": 3879,\n \"fields\": {\n \"evaluation\": 1559,\n- \"contributor\": 2196,\n+ \"contributor\": [\n+ \"hyon.sherry.ext\"\n+ ],\n \"can_edit\": false,\n \"textanswer_visibility\": \"OWN\",\n 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}\n },\n@@ -150578,7 +160592,9 @@\n 2\n ],\n \"responsibles\": [\n- 236\n+ [\n+ \"ingeborg.herring\"\n+ ]\n ]\n }\n },\n@@ -150599,7 +160615,9 @@\n 2\n ],\n \"responsibles\": [\n- 234\n+ [\n+ \"lahoma.gage\"\n+ ]\n ]\n }\n },\n@@ -150620,7 +160638,9 @@\n 2\n ],\n \"responsibles\": [\n- 93\n+ [\n+ \"viola.barringer\"\n+ ]\n ]\n }\n },\n@@ -150641,7 +160661,9 @@\n 2\n ],\n \"responsibles\": [\n- 648\n+ [\n+ \"henriette.park\"\n+ ]\n ]\n }\n },\n@@ -150662,7 +160684,9 @@\n 2\n ],\n \"responsibles\": [\n- 116\n+ [\n+ \"hugh.runyon\"\n+ ]\n ]\n }\n },\n@@ -150683,7 +160707,9 @@\n 2\n ],\n \"responsibles\": [\n- 267\n+ [\n+ \"karine.prater\"\n+ ]\n ]\n }\n },\n@@ -150704,7 +160730,9 @@\n 2\n ],\n \"responsibles\": [\n- 234\n+ [\n+ \"lahoma.gage\"\n+ ]\n ]\n }\n },\n@@ -150725,7 +160753,9 @@\n 2\n ],\n \"responsibles\": [\n- 173\n+ [\n+ \"chieko.lehman\"\n+ ]\n ]\n }\n },\n@@ -150746,7 +160776,9 @@\n 1\n ],\n \"responsibles\": [\n- 994\n+ [\n+ \"merle.higdon.ext\"\n+ ]\n ]\n }\n },\n@@ 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+161006,9 @@\n 2\n ],\n \"responsibles\": [\n- 186\n+ [\n+ \"ranae.fry.ext\"\n+ ]\n ]\n }\n },\n@@ -150977,7 +161029,9 @@\n 2\n ],\n \"responsibles\": [\n- 255\n+ [\n+ \"responsible\"\n+ ]\n ]\n }\n },\n@@ -150998,7 +161052,9 @@\n 2\n ],\n \"responsibles\": [\n- 234\n+ [\n+ \"lahoma.gage\"\n+ ]\n ]\n }\n },\n@@ -151019,7 +161075,9 @@\n 1\n ],\n \"responsibles\": [\n- 116\n+ [\n+ \"hugh.runyon\"\n+ ]\n ]\n }\n },\n@@ -151040,7 +161098,9 @@\n 2\n ],\n \"responsibles\": [\n- 2341\n+ [\n+ \"luciana.graves\"\n+ ]\n ]\n }\n },\n@@ -151061,7 +161121,9 @@\n 1\n ],\n \"responsibles\": [\n- 127\n+ [\n+ \"elena.kline\"\n+ ]\n ]\n }\n },\n@@ -151082,7 +161144,9 @@\n 3\n ],\n \"responsibles\": [\n- 255\n+ [\n+ \"responsible\"\n+ ]\n ]\n }\n },\n@@ -151103,7 +161167,9 @@\n 1\n ],\n \"responsibles\": [\n- 234\n+ [\n+ \"lahoma.gage\"\n+ ]\n ]\n }\n },\n@@ -151124,7 +161190,9 @@\n 1\n ],\n \"responsibles\": [\n- 33\n+ [\n+ \"latosha.moon\"\n+ ]\n ]\n }\n },\n@@ -151145,7 +161213,9 @@\n 1\n ],\n \"responsibles\": [\n- 204\n+ [\n+ \"lizabeth.steward\"\n+ ]\n ]\n }\n },\n@@ -151166,7 +161236,9 @@\n 2\n ],\n \"responsibles\": [\n- 648\n+ [\n+ \"henriette.park\"\n+ ]\n ]\n }\n },\n@@ -151187,7 +161259,9 @@\n 1\n ],\n \"responsibles\": [\n- 255\n+ [\n+ \"responsible\"\n+ ]\n ]\n }\n },\n@@ -151208,7 +161282,9 @@\n 2\n ],\n \"responsibles\": [\n- 127\n+ [\n+ \"elena.kline\"\n+ ]\n ]\n }\n }\ndiff --git a/evap/evaluation/management/commands/dump_testdata.py b/evap/evaluation/management/commands/dump_testdata.py\nindex 06f82ed404..3e1b5885d5 100644\n--- a/evap/evaluation/management/commands/dump_testdata.py\n+++ b/evap/evaluation/management/commands/dump_testdata.py\n@@ -12,4 +12,6 @@ class Command(BaseCommand):\n \n def handle(self, *args, **options):\n outfile_name = os.path.join(settings.BASE_DIR, \"evaluation\", \"fixtures\", \"test_data.json\")\n- call_command(\"dumpdata\", \"auth.group\", \"evaluation\", \"rewards\", \"grades\", indent=2, output=outfile_name)\n+ call_command(\n+ \"dumpdata\", \"auth.group\", \"evaluation\", \"rewards\", \"grades\", indent=2,\n+ output=outfile_name, natural_foreign=True, natural_primary=True)\ndiff --git a/evap/evaluation/tests/test_commands.py b/evap/evaluation/tests/test_commands.py\nindex 3c3abd2c6d..b4a58d6c98 100644\n--- a/evap/evaluation/tests/test_commands.py\n+++ b/evap/evaluation/tests/test_commands.py\n@@ -199,7 +199,8 @@ def test_dumpdata_called(self):\n management.call_command('dump_testdata')\n \n outfile_name = os.path.join(settings.BASE_DIR, \"evaluation\", \"fixtures\", \"test_data.json\")\n- mock.assert_called_once_with(\"dumpdata\", \"auth.group\", \"evaluation\", \"rewards\", \"grades\", indent=2, output=outfile_name)\n+ mock.assert_called_once_with('dumpdata', 'auth.group', 'evaluation', 'rewards', 'grades',\n+ indent=2, natural_foreign=True, natural_primary=True, output=outfile_name)\n \n \n @override_settings(REMIND_X_DAYS_AHEAD_OF_END_DATE=[0, 2])\n"}}},{"rowIdx":6581,"cells":{"in_source_id":{"kind":"string","value":"dask__distributed-3728"},"issue":{"kind":"string","value":"Typo in docs\nJust noticed there is a typo here. It should say `maximum_memory : str`.\r\n\r\nhttps://github.com/dask/distributed/blob/9622b8f9bef1855412e9b23265378e2da1f47f2f/distributed/deploy/spec.py#L554\n"},"before_files":{"kind":"list like","value":[{"content":"import asyncio\nimport atexit\nimport copy\nimport logging\nimport math\nimport weakref\n\nimport dask\nfrom tornado import gen\n\nfrom .adaptive import Adaptive\nfrom .cluster import Cluster\nfrom ..core import rpc, CommClosedError\nfrom ..utils import (\n LoopRunner,\n silence_logging,\n ignoring,\n parse_bytes,\n parse_timedelta,\n import_term,\n TimeoutError,\n)\nfrom ..scheduler import Scheduler\nfrom ..security import Security\n\n\nlogger = logging.getLogger(__name__)\n\n\nclass ProcessInterface:\n \"\"\"\n An interface for Scheduler and Worker processes for use in SpecCluster\n\n This interface is responsible to submit a worker or scheduler process to a\n resource manager like Kubernetes, Yarn, or SLURM/PBS/SGE/...\n It should implement the methods below, like ``start`` and ``close``\n \"\"\"\n\n def __init__(self, scheduler=None, name=None):\n self.address = getattr(self, \"address\", None)\n self.external_address = None\n self.lock = asyncio.Lock()\n self.status = \"created\"\n self._event_finished = asyncio.Event()\n\n def __await__(self):\n async def _():\n async with self.lock:\n if self.status == \"created\":\n await self.start()\n assert self.status == \"running\"\n return self\n\n return _().__await__()\n\n async def start(self):\n \"\"\" Submit the process to the resource manager\n\n For workers this doesn't have to wait until the process actually starts,\n but can return once the resource manager has the request, and will work\n to make the job exist in the future\n\n For the scheduler we will expect the scheduler's ``.address`` attribute\n to be avaialble after this completes.\n \"\"\"\n self.status = \"running\"\n\n async def close(self):\n \"\"\" Close the process\n\n This will be called by the Cluster object when we scale down a node,\n but only after we ask the Scheduler to close the worker gracefully.\n This method should kill the process a bit more forcefully and does not\n need to worry about shutting down gracefully\n \"\"\"\n self.status = \"closed\"\n self._event_finished.set()\n\n async def finished(self):\n \"\"\" Wait until the server has finished \"\"\"\n await self._event_finished.wait()\n\n def __repr__(self):\n return \"<%s: status=%s>\" % (type(self).__name__, self.status)\n\n async def __aenter__(self):\n await self\n return self\n\n async def __aexit__(self, *args, **kwargs):\n await self.close()\n\n\nclass NoOpAwaitable:\n \"\"\"An awaitable object that always returns None.\n\n Useful to return from a method that can be called in both asynchronous and\n synchronous contexts\"\"\"\n\n def __await__(self):\n async def f():\n return None\n\n return f().__await__()\n\n\nclass SpecCluster(Cluster):\n \"\"\" Cluster that requires a full specification of workers\n\n The SpecCluster class expects a full specification of the Scheduler and\n Workers to use. It removes any handling of user inputs (like threads vs\n processes, number of cores, and so on) and any handling of cluster resource\n managers (like pods, jobs, and so on). Instead, it expects this\n information to be passed in scheduler and worker specifications. This\n class does handle all of the logic around asynchronously cleanly setting up\n and tearing things down at the right times. Hopefully it can form a base\n for other more user-centric classes.\n\n Parameters\n ----------\n workers: dict\n A dictionary mapping names to worker classes and their specifications\n See example below\n scheduler: dict, optional\n A similar mapping for a scheduler\n worker: dict\n A specification of a single worker.\n This is used for any new workers that are created.\n asynchronous: bool\n If this is intended to be used directly within an event loop with\n async/await\n silence_logs: bool\n Whether or not we should silence logging when setting up the cluster.\n name: str, optional\n A name to use when printing out the cluster, defaults to type name\n\n Examples\n --------\n To create a SpecCluster you specify how to set up a Scheduler and Workers\n\n >>> from dask.distributed import Scheduler, Worker, Nanny\n >>> scheduler = {'cls': Scheduler, 'options': {\"dashboard_address\": ':8787'}}\n >>> workers = {\n ... 'my-worker': {\"cls\": Worker, \"options\": {\"nthreads\": 1}},\n ... 'my-nanny': {\"cls\": Nanny, \"options\": {\"nthreads\": 2}},\n ... }\n >>> cluster = SpecCluster(scheduler=scheduler, workers=workers)\n\n The worker spec is stored as the ``.worker_spec`` attribute\n\n >>> cluster.worker_spec\n {\n 'my-worker': {\"cls\": Worker, \"options\": {\"nthreads\": 1}},\n 'my-nanny': {\"cls\": Nanny, \"options\": {\"nthreads\": 2}},\n }\n\n While the instantiation of this spec is stored in the ``.workers``\n attribute\n\n >>> cluster.workers\n {\n 'my-worker': <Worker ...>\n 'my-nanny': <Nanny ...>\n }\n\n Should the spec change, we can await the cluster or call the\n ``._correct_state`` method to align the actual state to the specified\n state.\n\n We can also ``.scale(...)`` the cluster, which adds new workers of a given\n form.\n\n >>> worker = {'cls': Worker, 'options': {}}\n >>> cluster = SpecCluster(scheduler=scheduler, worker=worker)\n >>> cluster.worker_spec\n {}\n\n >>> cluster.scale(3)\n >>> cluster.worker_spec\n {\n 0: {'cls': Worker, 'options': {}},\n 1: {'cls': Worker, 'options': {}},\n 2: {'cls': Worker, 'options': {}},\n }\n\n Note that above we are using the standard ``Worker`` and ``Nanny`` classes,\n however in practice other classes could be used that handle resource\n management like ``KubernetesPod`` or ``SLURMJob``. The spec does not need\n to conform to the expectations of the standard Dask Worker class. It just\n needs to be called with the provided options, support ``__await__`` and\n ``close`` methods and the ``worker_address`` property..\n\n Also note that uniformity of the specification is not required. Other API\n could be added externally (in subclasses) that adds workers of different\n specifications into the same dictionary.\n\n If a single entry in the spec will generate multiple dask workers then\n please provide a `\"group\"` element to the spec, that includes the suffixes\n that will be added to each name (this should be handled by your worker\n class).\n\n >>> cluster.worker_spec\n {\n 0: {\"cls\": MultiWorker, \"options\": {\"processes\": 3}, \"group\": [\"-0\", \"-1\", -2\"]}\n 1: {\"cls\": MultiWorker, \"options\": {\"processes\": 2}, \"group\": [\"-0\", \"-1\"]}\n }\n\n These suffixes should correspond to the names used by the workers when\n they deploy.\n\n >>> [ws.name for ws in cluster.scheduler.workers.values()]\n [\"0-0\", \"0-1\", \"0-2\", \"1-0\", \"1-1\"]\n \"\"\"\n\n _instances = weakref.WeakSet()\n\n def __init__(\n self,\n workers=None,\n scheduler=None,\n worker=None,\n asynchronous=False,\n loop=None,\n security=None,\n silence_logs=False,\n name=None,\n ):\n self._created = weakref.WeakSet()\n\n self.scheduler_spec = copy.copy(scheduler)\n self.worker_spec = copy.copy(workers) or {}\n self.new_spec = copy.copy(worker)\n self.workers = {}\n self._i = 0\n self.security = security or Security()\n self.scheduler_comm = None\n self._futures = set()\n\n if silence_logs:\n self._old_logging_level = silence_logging(level=silence_logs)\n self._old_bokeh_logging_level = silence_logging(\n level=silence_logs, root=\"bokeh\"\n )\n\n self._loop_runner = LoopRunner(loop=loop, asynchronous=asynchronous)\n self.loop = self._loop_runner.loop\n\n self._instances.add(self)\n self._correct_state_waiting = None\n self._name = name or type(self).__name__\n\n super().__init__(asynchronous=asynchronous)\n\n if not self.asynchronous:\n self._loop_runner.start()\n self.sync(self._start)\n self.sync(self._correct_state)\n\n async def _start(self):\n while self.status == \"starting\":\n await asyncio.sleep(0.01)\n if self.status == \"running\":\n return\n if self.status == \"closed\":\n raise ValueError(\"Cluster is closed\")\n\n self._lock = asyncio.Lock()\n\n if self.scheduler_spec is None:\n try:\n import distributed.dashboard # noqa: F401\n except ImportError:\n pass\n else:\n options = {\"dashboard\": True}\n self.scheduler_spec = {\"cls\": Scheduler, \"options\": options}\n\n cls = self.scheduler_spec[\"cls\"]\n if isinstance(cls, str):\n cls = import_term(cls)\n self.scheduler = cls(**self.scheduler_spec.get(\"options\", {}))\n\n self.status = \"starting\"\n self.scheduler = await self.scheduler\n self.scheduler_comm = rpc(\n getattr(self.scheduler, \"external_address\", None) or self.scheduler.address,\n connection_args=self.security.get_connection_args(\"client\"),\n )\n await super()._start()\n\n def _correct_state(self):\n if self._correct_state_waiting:\n # If people call this frequently, we only want to run it once\n return self._correct_state_waiting\n else:\n task = asyncio.ensure_future(self._correct_state_internal())\n self._correct_state_waiting = task\n return task\n\n async def _correct_state_internal(self):\n async with self._lock:\n self._correct_state_waiting = None\n\n pre = list(set(self.workers))\n to_close = set(self.workers) - set(self.worker_spec)\n if to_close:\n if self.scheduler.status == \"running\":\n await self.scheduler_comm.retire_workers(workers=list(to_close))\n tasks = [self.workers[w].close() for w in to_close if w in self.workers]\n await asyncio.wait(tasks)\n for task in tasks: # for tornado gen.coroutine support\n with ignoring(RuntimeError):\n await task\n for name in to_close:\n if name in self.workers:\n del self.workers[name]\n\n to_open = set(self.worker_spec) - set(self.workers)\n workers = []\n for name in to_open:\n d = self.worker_spec[name]\n cls, opts = d[\"cls\"], d.get(\"options\", {})\n if \"name\" not in opts:\n opts = opts.copy()\n opts[\"name\"] = name\n if isinstance(cls, str):\n cls = import_term(cls)\n worker = cls(self.scheduler.address, **opts)\n self._created.add(worker)\n workers.append(worker)\n if workers:\n await asyncio.wait(workers)\n for w in workers:\n w._cluster = weakref.ref(self)\n await w # for tornado gen.coroutine support\n self.workers.update(dict(zip(to_open, workers)))\n\n def _update_worker_status(self, op, msg):\n if op == \"remove\":\n name = self.scheduler_info[\"workers\"][msg][\"name\"]\n\n def f():\n if (\n name in self.workers\n and msg not in self.scheduler_info[\"workers\"]\n and not any(\n d[\"name\"] == name\n for d in self.scheduler_info[\"workers\"].values()\n )\n ):\n self._futures.add(asyncio.ensure_future(self.workers[name].close()))\n del self.workers[name]\n\n delay = parse_timedelta(\n dask.config.get(\"distributed.deploy.lost-worker-timeout\")\n )\n\n asyncio.get_event_loop().call_later(delay, f)\n super()._update_worker_status(op, msg)\n\n def __await__(self):\n async def _():\n if self.status == \"created\":\n await self._start()\n await self.scheduler\n await self._correct_state()\n if self.workers:\n await asyncio.wait(list(self.workers.values())) # maybe there are more\n return self\n\n return _().__await__()\n\n async def _close(self):\n while self.status == \"closing\":\n await asyncio.sleep(0.1)\n if self.status == \"closed\":\n return\n self.status = \"closing\"\n\n self.scale(0)\n await self._correct_state()\n for future in self._futures:\n await future\n async with self._lock:\n with ignoring(CommClosedError):\n await self.scheduler_comm.close(close_workers=True)\n\n await self.scheduler.close()\n for w in self._created:\n assert w.status == \"closed\", w.status\n\n if hasattr(self, \"_old_logging_level\"):\n silence_logging(self._old_logging_level)\n if hasattr(self, \"_old_bokeh_logging_level\"):\n silence_logging(self._old_bokeh_logging_level, root=\"bokeh\")\n\n await super()._close()\n\n async def __aenter__(self):\n await self\n await self._correct_state()\n assert self.status == \"running\"\n return self\n\n def __exit__(self, typ, value, traceback):\n super().__exit__(typ, value, traceback)\n self._loop_runner.stop()\n\n def _threads_per_worker(self) -> int:\n \"\"\" Return the number of threads per worker for new workers \"\"\"\n if not self.new_spec:\n raise ValueError(\"To scale by cores= you must specify cores per worker\")\n\n for name in [\"nthreads\", \"ncores\", \"threads\", \"cores\"]:\n with ignoring(KeyError):\n return self.new_spec[\"options\"][name]\n\n if not self.new_spec:\n raise ValueError(\"To scale by cores= you must specify cores per worker\")\n\n def _memory_per_worker(self) -> int:\n \"\"\" Return the memory limit per worker for new workers \"\"\"\n if not self.new_spec:\n raise ValueError(\n \"to scale by memory= your worker definition must include a memory_limit definition\"\n )\n\n for name in [\"memory_limit\", \"memory\"]:\n with ignoring(KeyError):\n return parse_bytes(self.new_spec[\"options\"][name])\n\n raise ValueError(\n \"to use scale(memory=...) your worker definition must include a memory_limit definition\"\n )\n\n def scale(self, n=0, memory=None, cores=None):\n if memory is not None:\n n = max(n, int(math.ceil(parse_bytes(memory) / self._memory_per_worker())))\n\n if cores is not None:\n n = max(n, int(math.ceil(cores / self._threads_per_worker())))\n\n if len(self.worker_spec) > n:\n not_yet_launched = set(self.worker_spec) - {\n v[\"name\"] for v in self.scheduler_info[\"workers\"].values()\n }\n while len(self.worker_spec) > n and not_yet_launched:\n del self.worker_spec[not_yet_launched.pop()]\n\n while len(self.worker_spec) > n:\n self.worker_spec.popitem()\n\n if self.status not in (\"closing\", \"closed\"):\n while len(self.worker_spec) < n:\n self.worker_spec.update(self.new_worker_spec())\n\n self.loop.add_callback(self._correct_state)\n\n if self.asynchronous:\n return NoOpAwaitable()\n\n def new_worker_spec(self):\n \"\"\" Return name and spec for the next worker\n\n Returns\n -------\n d: dict mapping names to worker specs\n\n See Also\n --------\n scale\n \"\"\"\n while self._i in self.worker_spec:\n self._i += 1\n\n return {self._i: self.new_spec}\n\n @property\n def _supports_scaling(self):\n return not not self.new_spec\n\n async def scale_down(self, workers):\n # We may have groups, if so, map worker addresses to job names\n if not all(w in self.worker_spec for w in workers):\n mapping = {}\n for name, spec in self.worker_spec.items():\n if \"group\" in spec:\n for suffix in spec[\"group\"]:\n mapping[str(name) + suffix] = name\n else:\n mapping[name] = name\n\n workers = {mapping.get(w, w) for w in workers}\n\n for w in workers:\n if w in self.worker_spec:\n del self.worker_spec[w]\n await self\n\n scale_up = scale # backwards compatibility\n\n @property\n def plan(self):\n out = set()\n for name, spec in self.worker_spec.items():\n if \"group\" in spec:\n out.update({str(name) + suffix for suffix in spec[\"group\"]})\n else:\n out.add(name)\n return out\n\n @property\n def requested(self):\n out = set()\n for name in self.workers:\n try:\n spec = self.worker_spec[name]\n except KeyError:\n continue\n if \"group\" in spec:\n out.update({str(name) + suffix for suffix in spec[\"group\"]})\n else:\n out.add(name)\n return out\n\n def adapt(\n self,\n *args,\n minimum=0,\n maximum=math.inf,\n minimum_cores: int = None,\n maximum_cores: int = None,\n minimum_memory: str = None,\n maximum_memory: str = None,\n **kwargs\n ) -> Adaptive:\n \"\"\" Turn on adaptivity\n\n This scales Dask clusters automatically based on scheduler activity.\n\n Parameters\n ----------\n minimum : int\n Minimum number of workers\n maximum : int\n Maximum number of workers\n minimum_cores : int\n Minimum number of cores/threads to keep around in the cluster\n maximum_cores : int\n Maximum number of cores/threads to keep around in the cluster\n minimum_memory : str\n Minimum amount of memory to keep around in the cluster\n Expressed as a string like \"100 GiB\"\n maximum_cores : int\n Maximum amount of memory to keep around in the cluster\n Expressed as a string like \"100 GiB\"\n\n Examples\n --------\n >>> cluster.adapt(minimum=0, maximum_memory=\"100 GiB\", interval='500ms')\n\n See Also\n --------\n dask.distributed.Adaptive : for more keyword arguments\n \"\"\"\n if minimum_cores is not None:\n minimum = max(\n minimum or 0, math.ceil(minimum_cores / self._threads_per_worker())\n )\n if minimum_memory is not None:\n minimum = max(\n minimum or 0,\n math.ceil(parse_bytes(minimum_memory) / self._memory_per_worker()),\n )\n if maximum_cores is not None:\n maximum = min(\n maximum, math.floor(maximum_cores / self._threads_per_worker())\n )\n if maximum_memory is not None:\n maximum = min(\n maximum,\n math.floor(parse_bytes(maximum_memory) / self._memory_per_worker()),\n )\n\n return super().adapt(*args, minimum=minimum, maximum=maximum, **kwargs)\n\n\nasync def run_spec(spec: dict, *args):\n workers = {}\n for k, d in spec.items():\n cls = d[\"cls\"]\n if isinstance(cls, str):\n cls = import_term(cls)\n workers[k] = cls(*args, **d.get(\"opts\", {}))\n\n if workers:\n await asyncio.gather(*workers.values())\n for w in workers.values():\n await w # for tornado gen.coroutine support\n return workers\n\n\n@atexit.register\ndef close_clusters():\n for cluster in list(SpecCluster._instances):\n with ignoring((gen.TimeoutError, TimeoutError)):\n if cluster.status != \"closed\":\n cluster.close(timeout=10)\n","path":"distributed/deploy/spec.py"}],"string":"[\n {\n \"content\": \"import asyncio\\nimport atexit\\nimport copy\\nimport logging\\nimport math\\nimport weakref\\n\\nimport dask\\nfrom tornado import gen\\n\\nfrom .adaptive import Adaptive\\nfrom .cluster import Cluster\\nfrom ..core import rpc, CommClosedError\\nfrom ..utils import (\\n LoopRunner,\\n silence_logging,\\n ignoring,\\n parse_bytes,\\n parse_timedelta,\\n import_term,\\n TimeoutError,\\n)\\nfrom ..scheduler import Scheduler\\nfrom ..security import Security\\n\\n\\nlogger = logging.getLogger(__name__)\\n\\n\\nclass ProcessInterface:\\n \\\"\\\"\\\"\\n An interface for Scheduler and Worker processes for use in SpecCluster\\n\\n This interface is responsible to submit a worker or scheduler process to a\\n resource manager like Kubernetes, Yarn, or SLURM/PBS/SGE/...\\n It should implement the methods below, like ``start`` and ``close``\\n \\\"\\\"\\\"\\n\\n def __init__(self, scheduler=None, name=None):\\n self.address = getattr(self, \\\"address\\\", None)\\n self.external_address = None\\n self.lock = asyncio.Lock()\\n self.status = \\\"created\\\"\\n self._event_finished = asyncio.Event()\\n\\n def __await__(self):\\n async def _():\\n async with self.lock:\\n if self.status == \\\"created\\\":\\n await self.start()\\n assert self.status == \\\"running\\\"\\n return self\\n\\n return _().__await__()\\n\\n async def start(self):\\n \\\"\\\"\\\" Submit the process to the resource manager\\n\\n For workers this doesn't have to wait until the process actually starts,\\n but can return once the resource manager has the request, and will work\\n to make the job exist in the future\\n\\n For the scheduler we will expect the scheduler's ``.address`` attribute\\n to be avaialble after this completes.\\n \\\"\\\"\\\"\\n self.status = \\\"running\\\"\\n\\n async def close(self):\\n \\\"\\\"\\\" Close the process\\n\\n This will be called by the Cluster object when we scale down a node,\\n but only after we ask the Scheduler to close the worker gracefully.\\n This method should kill the process a bit more forcefully and does not\\n need to worry about shutting down gracefully\\n \\\"\\\"\\\"\\n self.status = \\\"closed\\\"\\n self._event_finished.set()\\n\\n async def finished(self):\\n \\\"\\\"\\\" Wait until the server has finished \\\"\\\"\\\"\\n await self._event_finished.wait()\\n\\n def __repr__(self):\\n return \\\"<%s: status=%s>\\\" % (type(self).__name__, self.status)\\n\\n async def __aenter__(self):\\n await self\\n return self\\n\\n async def __aexit__(self, *args, **kwargs):\\n await self.close()\\n\\n\\nclass NoOpAwaitable:\\n \\\"\\\"\\\"An awaitable object that always returns None.\\n\\n Useful to return from a method that can be called in both asynchronous and\\n synchronous contexts\\\"\\\"\\\"\\n\\n def __await__(self):\\n async def f():\\n return None\\n\\n return f().__await__()\\n\\n\\nclass SpecCluster(Cluster):\\n \\\"\\\"\\\" Cluster that requires a full specification of workers\\n\\n The SpecCluster class expects a full specification of the Scheduler and\\n Workers to use. It removes any handling of user inputs (like threads vs\\n processes, number of cores, and so on) and any handling of cluster resource\\n managers (like pods, jobs, and so on). Instead, it expects this\\n information to be passed in scheduler and worker specifications. This\\n class does handle all of the logic around asynchronously cleanly setting up\\n and tearing things down at the right times. Hopefully it can form a base\\n for other more user-centric classes.\\n\\n Parameters\\n ----------\\n workers: dict\\n A dictionary mapping names to worker classes and their specifications\\n See example below\\n scheduler: dict, optional\\n A similar mapping for a scheduler\\n worker: dict\\n A specification of a single worker.\\n This is used for any new workers that are created.\\n asynchronous: bool\\n If this is intended to be used directly within an event loop with\\n async/await\\n silence_logs: bool\\n Whether or not we should silence logging when setting up the cluster.\\n name: str, optional\\n A name to use when printing out the cluster, defaults to type name\\n\\n Examples\\n --------\\n To create a SpecCluster you specify how to set up a Scheduler and Workers\\n\\n >>> from dask.distributed import Scheduler, Worker, Nanny\\n >>> scheduler = {'cls': Scheduler, 'options': {\\\"dashboard_address\\\": ':8787'}}\\n >>> workers = {\\n ... 'my-worker': {\\\"cls\\\": Worker, \\\"options\\\": {\\\"nthreads\\\": 1}},\\n ... 'my-nanny': {\\\"cls\\\": Nanny, \\\"options\\\": {\\\"nthreads\\\": 2}},\\n ... }\\n >>> cluster = SpecCluster(scheduler=scheduler, workers=workers)\\n\\n The worker spec is stored as the ``.worker_spec`` attribute\\n\\n >>> cluster.worker_spec\\n {\\n 'my-worker': {\\\"cls\\\": Worker, \\\"options\\\": {\\\"nthreads\\\": 1}},\\n 'my-nanny': {\\\"cls\\\": Nanny, \\\"options\\\": {\\\"nthreads\\\": 2}},\\n }\\n\\n While the instantiation of this spec is stored in the ``.workers``\\n attribute\\n\\n >>> cluster.workers\\n {\\n 'my-worker': <Worker ...>\\n 'my-nanny': <Nanny ...>\\n }\\n\\n Should the spec change, we can await the cluster or call the\\n ``._correct_state`` method to align the actual state to the specified\\n state.\\n\\n We can also ``.scale(...)`` the cluster, which adds new workers of a given\\n form.\\n\\n >>> worker = {'cls': Worker, 'options': {}}\\n >>> cluster = SpecCluster(scheduler=scheduler, worker=worker)\\n >>> cluster.worker_spec\\n {}\\n\\n >>> cluster.scale(3)\\n >>> cluster.worker_spec\\n {\\n 0: {'cls': Worker, 'options': {}},\\n 1: {'cls': Worker, 'options': {}},\\n 2: {'cls': Worker, 'options': {}},\\n }\\n\\n Note that above we are using the standard ``Worker`` and ``Nanny`` classes,\\n however in practice other classes could be used that handle resource\\n management like ``KubernetesPod`` or ``SLURMJob``. The spec does not need\\n to conform to the expectations of the standard Dask Worker class. It just\\n needs to be called with the provided options, support ``__await__`` and\\n ``close`` methods and the ``worker_address`` property..\\n\\n Also note that uniformity of the specification is not required. Other API\\n could be added externally (in subclasses) that adds workers of different\\n specifications into the same dictionary.\\n\\n If a single entry in the spec will generate multiple dask workers then\\n please provide a `\\\"group\\\"` element to the spec, that includes the suffixes\\n that will be added to each name (this should be handled by your worker\\n class).\\n\\n >>> cluster.worker_spec\\n {\\n 0: {\\\"cls\\\": MultiWorker, \\\"options\\\": {\\\"processes\\\": 3}, \\\"group\\\": [\\\"-0\\\", \\\"-1\\\", -2\\\"]}\\n 1: {\\\"cls\\\": MultiWorker, \\\"options\\\": {\\\"processes\\\": 2}, \\\"group\\\": [\\\"-0\\\", \\\"-1\\\"]}\\n }\\n\\n These suffixes should correspond to the names used by the workers when\\n they deploy.\\n\\n >>> [ws.name for ws in cluster.scheduler.workers.values()]\\n [\\\"0-0\\\", \\\"0-1\\\", \\\"0-2\\\", \\\"1-0\\\", \\\"1-1\\\"]\\n \\\"\\\"\\\"\\n\\n _instances = weakref.WeakSet()\\n\\n def __init__(\\n self,\\n workers=None,\\n scheduler=None,\\n worker=None,\\n asynchronous=False,\\n loop=None,\\n security=None,\\n silence_logs=False,\\n name=None,\\n ):\\n self._created = weakref.WeakSet()\\n\\n self.scheduler_spec = copy.copy(scheduler)\\n self.worker_spec = copy.copy(workers) or {}\\n self.new_spec = copy.copy(worker)\\n self.workers = {}\\n self._i = 0\\n self.security = security or Security()\\n self.scheduler_comm = None\\n self._futures = set()\\n\\n if silence_logs:\\n self._old_logging_level = silence_logging(level=silence_logs)\\n self._old_bokeh_logging_level = silence_logging(\\n level=silence_logs, root=\\\"bokeh\\\"\\n )\\n\\n self._loop_runner = LoopRunner(loop=loop, asynchronous=asynchronous)\\n self.loop = self._loop_runner.loop\\n\\n self._instances.add(self)\\n self._correct_state_waiting = None\\n self._name = name or type(self).__name__\\n\\n super().__init__(asynchronous=asynchronous)\\n\\n if not self.asynchronous:\\n self._loop_runner.start()\\n self.sync(self._start)\\n self.sync(self._correct_state)\\n\\n async def _start(self):\\n while self.status == \\\"starting\\\":\\n await asyncio.sleep(0.01)\\n if self.status == \\\"running\\\":\\n return\\n if self.status == \\\"closed\\\":\\n raise ValueError(\\\"Cluster is closed\\\")\\n\\n self._lock = asyncio.Lock()\\n\\n if self.scheduler_spec is None:\\n try:\\n import distributed.dashboard # noqa: F401\\n except ImportError:\\n pass\\n else:\\n options = {\\\"dashboard\\\": True}\\n self.scheduler_spec = {\\\"cls\\\": Scheduler, \\\"options\\\": options}\\n\\n cls = self.scheduler_spec[\\\"cls\\\"]\\n if isinstance(cls, str):\\n cls = import_term(cls)\\n self.scheduler = cls(**self.scheduler_spec.get(\\\"options\\\", {}))\\n\\n self.status = \\\"starting\\\"\\n self.scheduler = await self.scheduler\\n self.scheduler_comm = rpc(\\n getattr(self.scheduler, \\\"external_address\\\", None) or self.scheduler.address,\\n connection_args=self.security.get_connection_args(\\\"client\\\"),\\n )\\n await super()._start()\\n\\n def _correct_state(self):\\n if self._correct_state_waiting:\\n # If people call this frequently, we only want to run it once\\n return self._correct_state_waiting\\n else:\\n task = asyncio.ensure_future(self._correct_state_internal())\\n self._correct_state_waiting = task\\n return task\\n\\n async def _correct_state_internal(self):\\n async with self._lock:\\n self._correct_state_waiting = None\\n\\n pre = list(set(self.workers))\\n to_close = set(self.workers) - set(self.worker_spec)\\n if to_close:\\n if self.scheduler.status == \\\"running\\\":\\n await self.scheduler_comm.retire_workers(workers=list(to_close))\\n tasks = [self.workers[w].close() for w in to_close if w in self.workers]\\n await asyncio.wait(tasks)\\n for task in tasks: # for tornado gen.coroutine support\\n with ignoring(RuntimeError):\\n await task\\n for name in to_close:\\n if name in self.workers:\\n del self.workers[name]\\n\\n to_open = set(self.worker_spec) - set(self.workers)\\n workers = []\\n for name in to_open:\\n d = self.worker_spec[name]\\n cls, opts = d[\\\"cls\\\"], d.get(\\\"options\\\", {})\\n if \\\"name\\\" not in opts:\\n opts = opts.copy()\\n opts[\\\"name\\\"] = name\\n if isinstance(cls, str):\\n cls = import_term(cls)\\n worker = cls(self.scheduler.address, **opts)\\n self._created.add(worker)\\n workers.append(worker)\\n if workers:\\n await asyncio.wait(workers)\\n for w in workers:\\n w._cluster = weakref.ref(self)\\n await w # for tornado gen.coroutine support\\n self.workers.update(dict(zip(to_open, workers)))\\n\\n def _update_worker_status(self, op, msg):\\n if op == \\\"remove\\\":\\n name = self.scheduler_info[\\\"workers\\\"][msg][\\\"name\\\"]\\n\\n def f():\\n if (\\n name in self.workers\\n and msg not in self.scheduler_info[\\\"workers\\\"]\\n and not any(\\n d[\\\"name\\\"] == name\\n for d in self.scheduler_info[\\\"workers\\\"].values()\\n )\\n ):\\n self._futures.add(asyncio.ensure_future(self.workers[name].close()))\\n del self.workers[name]\\n\\n delay = parse_timedelta(\\n dask.config.get(\\\"distributed.deploy.lost-worker-timeout\\\")\\n )\\n\\n asyncio.get_event_loop().call_later(delay, f)\\n super()._update_worker_status(op, msg)\\n\\n def __await__(self):\\n async def _():\\n if self.status == \\\"created\\\":\\n await self._start()\\n await self.scheduler\\n await self._correct_state()\\n if self.workers:\\n await asyncio.wait(list(self.workers.values())) # maybe there are more\\n return self\\n\\n return _().__await__()\\n\\n async def _close(self):\\n while self.status == \\\"closing\\\":\\n await asyncio.sleep(0.1)\\n if self.status == \\\"closed\\\":\\n return\\n self.status = \\\"closing\\\"\\n\\n self.scale(0)\\n await self._correct_state()\\n for future in self._futures:\\n await future\\n async with self._lock:\\n with ignoring(CommClosedError):\\n await self.scheduler_comm.close(close_workers=True)\\n\\n await self.scheduler.close()\\n for w in self._created:\\n assert w.status == \\\"closed\\\", w.status\\n\\n if hasattr(self, \\\"_old_logging_level\\\"):\\n silence_logging(self._old_logging_level)\\n if hasattr(self, \\\"_old_bokeh_logging_level\\\"):\\n silence_logging(self._old_bokeh_logging_level, root=\\\"bokeh\\\")\\n\\n await super()._close()\\n\\n async def __aenter__(self):\\n await self\\n await self._correct_state()\\n assert self.status == \\\"running\\\"\\n return self\\n\\n def __exit__(self, typ, value, traceback):\\n super().__exit__(typ, value, traceback)\\n self._loop_runner.stop()\\n\\n def _threads_per_worker(self) -> int:\\n \\\"\\\"\\\" Return the number of threads per worker for new workers \\\"\\\"\\\"\\n if not self.new_spec:\\n raise ValueError(\\\"To scale by cores= you must specify cores per worker\\\")\\n\\n for name in [\\\"nthreads\\\", \\\"ncores\\\", \\\"threads\\\", \\\"cores\\\"]:\\n with ignoring(KeyError):\\n return self.new_spec[\\\"options\\\"][name]\\n\\n if not self.new_spec:\\n raise ValueError(\\\"To scale by cores= you must specify cores per worker\\\")\\n\\n def _memory_per_worker(self) -> int:\\n \\\"\\\"\\\" Return the memory limit per worker for new workers \\\"\\\"\\\"\\n if not self.new_spec:\\n raise ValueError(\\n \\\"to scale by memory= your worker definition must include a memory_limit definition\\\"\\n )\\n\\n for name in [\\\"memory_limit\\\", \\\"memory\\\"]:\\n with ignoring(KeyError):\\n return parse_bytes(self.new_spec[\\\"options\\\"][name])\\n\\n raise ValueError(\\n \\\"to use scale(memory=...) your worker definition must include a memory_limit definition\\\"\\n )\\n\\n def scale(self, n=0, memory=None, cores=None):\\n if memory is not None:\\n n = max(n, int(math.ceil(parse_bytes(memory) / self._memory_per_worker())))\\n\\n if cores is not None:\\n n = max(n, int(math.ceil(cores / self._threads_per_worker())))\\n\\n if len(self.worker_spec) > n:\\n not_yet_launched = set(self.worker_spec) - {\\n v[\\\"name\\\"] for v in self.scheduler_info[\\\"workers\\\"].values()\\n }\\n while len(self.worker_spec) > n and not_yet_launched:\\n del self.worker_spec[not_yet_launched.pop()]\\n\\n while len(self.worker_spec) > n:\\n self.worker_spec.popitem()\\n\\n if self.status not in (\\\"closing\\\", \\\"closed\\\"):\\n while len(self.worker_spec) < n:\\n self.worker_spec.update(self.new_worker_spec())\\n\\n self.loop.add_callback(self._correct_state)\\n\\n if self.asynchronous:\\n return NoOpAwaitable()\\n\\n def new_worker_spec(self):\\n \\\"\\\"\\\" Return name and spec for the next worker\\n\\n Returns\\n -------\\n d: dict mapping names to worker specs\\n\\n See Also\\n --------\\n scale\\n \\\"\\\"\\\"\\n while self._i in self.worker_spec:\\n self._i += 1\\n\\n return {self._i: self.new_spec}\\n\\n @property\\n def _supports_scaling(self):\\n return not not self.new_spec\\n\\n async def scale_down(self, workers):\\n # We may have groups, if so, map worker addresses to job names\\n if not all(w in self.worker_spec for w in workers):\\n mapping = {}\\n for name, spec in self.worker_spec.items():\\n if \\\"group\\\" in spec:\\n for suffix in spec[\\\"group\\\"]:\\n mapping[str(name) + suffix] = name\\n else:\\n mapping[name] = name\\n\\n workers = {mapping.get(w, w) for w in workers}\\n\\n for w in workers:\\n if w in self.worker_spec:\\n del self.worker_spec[w]\\n await self\\n\\n scale_up = scale # backwards compatibility\\n\\n @property\\n def plan(self):\\n out = set()\\n for name, spec in self.worker_spec.items():\\n if \\\"group\\\" in spec:\\n out.update({str(name) + suffix for suffix in spec[\\\"group\\\"]})\\n else:\\n out.add(name)\\n return out\\n\\n @property\\n def requested(self):\\n out = set()\\n for name in self.workers:\\n try:\\n spec = self.worker_spec[name]\\n except KeyError:\\n continue\\n if \\\"group\\\" in spec:\\n out.update({str(name) + suffix for suffix in spec[\\\"group\\\"]})\\n else:\\n out.add(name)\\n return out\\n\\n def adapt(\\n self,\\n *args,\\n minimum=0,\\n maximum=math.inf,\\n minimum_cores: int = None,\\n maximum_cores: int = None,\\n minimum_memory: str = None,\\n maximum_memory: str = None,\\n **kwargs\\n ) -> Adaptive:\\n \\\"\\\"\\\" Turn on adaptivity\\n\\n This scales Dask clusters automatically based on scheduler activity.\\n\\n Parameters\\n ----------\\n minimum : int\\n Minimum number of workers\\n maximum : int\\n Maximum number of workers\\n minimum_cores : int\\n Minimum number of cores/threads to keep around in the cluster\\n maximum_cores : int\\n Maximum number of cores/threads to keep around in the cluster\\n minimum_memory : str\\n Minimum amount of memory to keep around in the cluster\\n Expressed as a string like \\\"100 GiB\\\"\\n maximum_cores : int\\n Maximum amount of memory to keep around in the cluster\\n Expressed as a string like \\\"100 GiB\\\"\\n\\n Examples\\n --------\\n >>> cluster.adapt(minimum=0, maximum_memory=\\\"100 GiB\\\", interval='500ms')\\n\\n See Also\\n --------\\n dask.distributed.Adaptive : for more keyword arguments\\n \\\"\\\"\\\"\\n if minimum_cores is not None:\\n minimum = max(\\n minimum or 0, math.ceil(minimum_cores / self._threads_per_worker())\\n )\\n if minimum_memory is not None:\\n minimum = max(\\n minimum or 0,\\n math.ceil(parse_bytes(minimum_memory) / self._memory_per_worker()),\\n )\\n if maximum_cores is not None:\\n maximum = min(\\n maximum, math.floor(maximum_cores / self._threads_per_worker())\\n )\\n if maximum_memory is not None:\\n maximum = min(\\n maximum,\\n math.floor(parse_bytes(maximum_memory) / self._memory_per_worker()),\\n )\\n\\n return super().adapt(*args, minimum=minimum, maximum=maximum, **kwargs)\\n\\n\\nasync def run_spec(spec: dict, *args):\\n workers = {}\\n for k, d in spec.items():\\n cls = d[\\\"cls\\\"]\\n if isinstance(cls, str):\\n cls = import_term(cls)\\n workers[k] = cls(*args, **d.get(\\\"opts\\\", {}))\\n\\n if workers:\\n await asyncio.gather(*workers.values())\\n for w in workers.values():\\n await w # for tornado gen.coroutine support\\n return workers\\n\\n\\n@atexit.register\\ndef close_clusters():\\n for cluster in list(SpecCluster._instances):\\n with ignoring((gen.TimeoutError, TimeoutError)):\\n if cluster.status != \\\"closed\\\":\\n cluster.close(timeout=10)\\n\",\n \"path\": \"distributed/deploy/spec.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"import asyncio\nimport atexit\nimport copy\nimport logging\nimport math\nimport weakref\n\nimport dask\nfrom tornado import gen\n\nfrom .adaptive import Adaptive\nfrom .cluster import Cluster\nfrom ..core import rpc, CommClosedError\nfrom ..utils import (\n LoopRunner,\n silence_logging,\n ignoring,\n parse_bytes,\n parse_timedelta,\n import_term,\n TimeoutError,\n)\nfrom ..scheduler import Scheduler\nfrom ..security import Security\n\n\nlogger = logging.getLogger(__name__)\n\n\nclass ProcessInterface:\n \"\"\"\n An interface for Scheduler and Worker processes for use in SpecCluster\n\n This interface is responsible to submit a worker or scheduler process to a\n resource manager like Kubernetes, Yarn, or SLURM/PBS/SGE/...\n It should implement the methods below, like ``start`` and ``close``\n \"\"\"\n\n def __init__(self, scheduler=None, name=None):\n self.address = getattr(self, \"address\", None)\n self.external_address = None\n self.lock = asyncio.Lock()\n self.status = \"created\"\n self._event_finished = asyncio.Event()\n\n def __await__(self):\n async def _():\n async with self.lock:\n if self.status == \"created\":\n await self.start()\n assert self.status == \"running\"\n return self\n\n return _().__await__()\n\n async def start(self):\n \"\"\" Submit the process to the resource manager\n\n For workers this doesn't have to wait until the process actually starts,\n but can return once the resource manager has the request, and will work\n to make the job exist in the future\n\n For the scheduler we will expect the scheduler's ``.address`` attribute\n to be avaialble after this completes.\n \"\"\"\n self.status = \"running\"\n\n async def close(self):\n \"\"\" Close the process\n\n This will be called by the Cluster object when we scale down a node,\n but only after we ask the Scheduler to close the worker gracefully.\n This method should kill the process a bit more forcefully and does not\n need to worry about shutting down gracefully\n \"\"\"\n self.status = \"closed\"\n self._event_finished.set()\n\n async def finished(self):\n \"\"\" Wait until the server has finished \"\"\"\n await self._event_finished.wait()\n\n def __repr__(self):\n return \"<%s: status=%s>\" % (type(self).__name__, self.status)\n\n async def __aenter__(self):\n await self\n return self\n\n async def __aexit__(self, *args, **kwargs):\n await self.close()\n\n\nclass NoOpAwaitable:\n \"\"\"An awaitable object that always returns None.\n\n Useful to return from a method that can be called in both asynchronous and\n synchronous contexts\"\"\"\n\n def __await__(self):\n async def f():\n return None\n\n return f().__await__()\n\n\nclass SpecCluster(Cluster):\n \"\"\" Cluster that requires a full specification of workers\n\n The SpecCluster class expects a full specification of the Scheduler and\n Workers to use. It removes any handling of user inputs (like threads vs\n processes, number of cores, and so on) and any handling of cluster resource\n managers (like pods, jobs, and so on). Instead, it expects this\n information to be passed in scheduler and worker specifications. This\n class does handle all of the logic around asynchronously cleanly setting up\n and tearing things down at the right times. Hopefully it can form a base\n for other more user-centric classes.\n\n Parameters\n ----------\n workers: dict\n A dictionary mapping names to worker classes and their specifications\n See example below\n scheduler: dict, optional\n A similar mapping for a scheduler\n worker: dict\n A specification of a single worker.\n This is used for any new workers that are created.\n asynchronous: bool\n If this is intended to be used directly within an event loop with\n async/await\n silence_logs: bool\n Whether or not we should silence logging when setting up the cluster.\n name: str, optional\n A name to use when printing out the cluster, defaults to type name\n\n Examples\n --------\n To create a SpecCluster you specify how to set up a Scheduler and Workers\n\n >>> from dask.distributed import Scheduler, Worker, Nanny\n >>> scheduler = {'cls': Scheduler, 'options': {\"dashboard_address\": ':8787'}}\n >>> workers = {\n ... 'my-worker': {\"cls\": Worker, \"options\": {\"nthreads\": 1}},\n ... 'my-nanny': {\"cls\": Nanny, \"options\": {\"nthreads\": 2}},\n ... }\n >>> cluster = SpecCluster(scheduler=scheduler, workers=workers)\n\n The worker spec is stored as the ``.worker_spec`` attribute\n\n >>> cluster.worker_spec\n {\n 'my-worker': {\"cls\": Worker, \"options\": {\"nthreads\": 1}},\n 'my-nanny': {\"cls\": Nanny, \"options\": {\"nthreads\": 2}},\n }\n\n While the instantiation of this spec is stored in the ``.workers``\n attribute\n\n >>> cluster.workers\n {\n 'my-worker': <Worker ...>\n 'my-nanny': <Nanny ...>\n }\n\n Should the spec change, we can await the cluster or call the\n ``._correct_state`` method to align the actual state to the specified\n state.\n\n We can also ``.scale(...)`` the cluster, which adds new workers of a given\n form.\n\n >>> worker = {'cls': Worker, 'options': {}}\n >>> cluster = SpecCluster(scheduler=scheduler, worker=worker)\n >>> cluster.worker_spec\n {}\n\n >>> cluster.scale(3)\n >>> cluster.worker_spec\n {\n 0: {'cls': Worker, 'options': {}},\n 1: {'cls': Worker, 'options': {}},\n 2: {'cls': Worker, 'options': {}},\n }\n\n Note that above we are using the standard ``Worker`` and ``Nanny`` classes,\n however in practice other classes could be used that handle resource\n management like ``KubernetesPod`` or ``SLURMJob``. The spec does not need\n to conform to the expectations of the standard Dask Worker class. It just\n needs to be called with the provided options, support ``__await__`` and\n ``close`` methods and the ``worker_address`` property..\n\n Also note that uniformity of the specification is not required. Other API\n could be added externally (in subclasses) that adds workers of different\n specifications into the same dictionary.\n\n If a single entry in the spec will generate multiple dask workers then\n please provide a `\"group\"` element to the spec, that includes the suffixes\n that will be added to each name (this should be handled by your worker\n class).\n\n >>> cluster.worker_spec\n {\n 0: {\"cls\": MultiWorker, \"options\": {\"processes\": 3}, \"group\": [\"-0\", \"-1\", -2\"]}\n 1: {\"cls\": MultiWorker, \"options\": {\"processes\": 2}, \"group\": [\"-0\", \"-1\"]}\n }\n\n These suffixes should correspond to the names used by the workers when\n they deploy.\n\n >>> [ws.name for ws in cluster.scheduler.workers.values()]\n [\"0-0\", \"0-1\", \"0-2\", \"1-0\", \"1-1\"]\n \"\"\"\n\n _instances = weakref.WeakSet()\n\n def __init__(\n self,\n workers=None,\n scheduler=None,\n worker=None,\n asynchronous=False,\n loop=None,\n security=None,\n silence_logs=False,\n name=None,\n ):\n self._created = weakref.WeakSet()\n\n self.scheduler_spec = copy.copy(scheduler)\n self.worker_spec = copy.copy(workers) or {}\n self.new_spec = copy.copy(worker)\n self.workers = {}\n self._i = 0\n self.security = security or Security()\n self.scheduler_comm = None\n self._futures = set()\n\n if silence_logs:\n self._old_logging_level = silence_logging(level=silence_logs)\n self._old_bokeh_logging_level = silence_logging(\n level=silence_logs, root=\"bokeh\"\n )\n\n self._loop_runner = LoopRunner(loop=loop, asynchronous=asynchronous)\n self.loop = self._loop_runner.loop\n\n self._instances.add(self)\n self._correct_state_waiting = None\n self._name = name or type(self).__name__\n\n super().__init__(asynchronous=asynchronous)\n\n if not self.asynchronous:\n self._loop_runner.start()\n self.sync(self._start)\n self.sync(self._correct_state)\n\n async def _start(self):\n while self.status == \"starting\":\n await asyncio.sleep(0.01)\n if self.status == \"running\":\n return\n if self.status == \"closed\":\n raise ValueError(\"Cluster is closed\")\n\n self._lock = asyncio.Lock()\n\n if self.scheduler_spec is None:\n try:\n import distributed.dashboard # noqa: F401\n except ImportError:\n pass\n else:\n options = {\"dashboard\": True}\n self.scheduler_spec = {\"cls\": Scheduler, \"options\": options}\n\n cls = self.scheduler_spec[\"cls\"]\n if isinstance(cls, str):\n cls = import_term(cls)\n self.scheduler = cls(**self.scheduler_spec.get(\"options\", {}))\n\n self.status = \"starting\"\n self.scheduler = await self.scheduler\n self.scheduler_comm = rpc(\n getattr(self.scheduler, \"external_address\", None) or self.scheduler.address,\n connection_args=self.security.get_connection_args(\"client\"),\n )\n await super()._start()\n\n def _correct_state(self):\n if self._correct_state_waiting:\n # If people call this frequently, we only want to run it once\n return self._correct_state_waiting\n else:\n task = asyncio.ensure_future(self._correct_state_internal())\n self._correct_state_waiting = task\n return task\n\n async def _correct_state_internal(self):\n async with self._lock:\n self._correct_state_waiting = None\n\n pre = list(set(self.workers))\n to_close = set(self.workers) - set(self.worker_spec)\n if to_close:\n if self.scheduler.status == \"running\":\n await self.scheduler_comm.retire_workers(workers=list(to_close))\n tasks = [self.workers[w].close() for w in to_close if w in self.workers]\n await asyncio.wait(tasks)\n for task in tasks: # for tornado gen.coroutine support\n with ignoring(RuntimeError):\n await task\n for name in to_close:\n if name in self.workers:\n del self.workers[name]\n\n to_open = set(self.worker_spec) - set(self.workers)\n workers = []\n for name in to_open:\n d = self.worker_spec[name]\n cls, opts = d[\"cls\"], d.get(\"options\", {})\n if \"name\" not in opts:\n opts = opts.copy()\n opts[\"name\"] = name\n if isinstance(cls, str):\n cls = import_term(cls)\n worker = cls(self.scheduler.address, **opts)\n self._created.add(worker)\n workers.append(worker)\n if workers:\n await asyncio.wait(workers)\n for w in workers:\n w._cluster = weakref.ref(self)\n await w # for tornado gen.coroutine support\n self.workers.update(dict(zip(to_open, workers)))\n\n def _update_worker_status(self, op, msg):\n if op == \"remove\":\n name = self.scheduler_info[\"workers\"][msg][\"name\"]\n\n def f():\n if (\n name in self.workers\n and msg not in self.scheduler_info[\"workers\"]\n and not any(\n d[\"name\"] == name\n for d in self.scheduler_info[\"workers\"].values()\n )\n ):\n self._futures.add(asyncio.ensure_future(self.workers[name].close()))\n del self.workers[name]\n\n delay = parse_timedelta(\n dask.config.get(\"distributed.deploy.lost-worker-timeout\")\n )\n\n asyncio.get_event_loop().call_later(delay, f)\n super()._update_worker_status(op, msg)\n\n def __await__(self):\n async def _():\n if self.status == \"created\":\n await self._start()\n await self.scheduler\n await self._correct_state()\n if self.workers:\n await asyncio.wait(list(self.workers.values())) # maybe there are more\n return self\n\n return _().__await__()\n\n async def _close(self):\n while self.status == \"closing\":\n await asyncio.sleep(0.1)\n if self.status == \"closed\":\n return\n self.status = \"closing\"\n\n self.scale(0)\n await self._correct_state()\n for future in self._futures:\n await future\n async with self._lock:\n with ignoring(CommClosedError):\n await self.scheduler_comm.close(close_workers=True)\n\n await self.scheduler.close()\n for w in self._created:\n assert w.status == \"closed\", w.status\n\n if hasattr(self, \"_old_logging_level\"):\n silence_logging(self._old_logging_level)\n if hasattr(self, \"_old_bokeh_logging_level\"):\n silence_logging(self._old_bokeh_logging_level, root=\"bokeh\")\n\n await super()._close()\n\n async def __aenter__(self):\n await self\n await self._correct_state()\n assert self.status == \"running\"\n return self\n\n def __exit__(self, typ, value, traceback):\n super().__exit__(typ, value, traceback)\n self._loop_runner.stop()\n\n def _threads_per_worker(self) -> int:\n \"\"\" Return the number of threads per worker for new workers \"\"\"\n if not self.new_spec:\n raise ValueError(\"To scale by cores= you must specify cores per worker\")\n\n for name in [\"nthreads\", \"ncores\", \"threads\", \"cores\"]:\n with ignoring(KeyError):\n return self.new_spec[\"options\"][name]\n\n if not self.new_spec:\n raise ValueError(\"To scale by cores= you must specify cores per worker\")\n\n def _memory_per_worker(self) -> int:\n \"\"\" Return the memory limit per worker for new workers \"\"\"\n if not self.new_spec:\n raise ValueError(\n \"to scale by memory= your worker definition must include a memory_limit definition\"\n )\n\n for name in [\"memory_limit\", \"memory\"]:\n with ignoring(KeyError):\n return parse_bytes(self.new_spec[\"options\"][name])\n\n raise ValueError(\n \"to use scale(memory=...) your worker definition must include a memory_limit definition\"\n )\n\n def scale(self, n=0, memory=None, cores=None):\n if memory is not None:\n n = max(n, int(math.ceil(parse_bytes(memory) / self._memory_per_worker())))\n\n if cores is not None:\n n = max(n, int(math.ceil(cores / self._threads_per_worker())))\n\n if len(self.worker_spec) > n:\n not_yet_launched = set(self.worker_spec) - {\n v[\"name\"] for v in self.scheduler_info[\"workers\"].values()\n }\n while len(self.worker_spec) > n and not_yet_launched:\n del self.worker_spec[not_yet_launched.pop()]\n\n while len(self.worker_spec) > n:\n self.worker_spec.popitem()\n\n if self.status not in (\"closing\", \"closed\"):\n while len(self.worker_spec) < n:\n self.worker_spec.update(self.new_worker_spec())\n\n self.loop.add_callback(self._correct_state)\n\n if self.asynchronous:\n return NoOpAwaitable()\n\n def new_worker_spec(self):\n \"\"\" Return name and spec for the next worker\n\n Returns\n -------\n d: dict mapping names to worker specs\n\n See Also\n --------\n scale\n \"\"\"\n while self._i in self.worker_spec:\n self._i += 1\n\n return {self._i: self.new_spec}\n\n @property\n def _supports_scaling(self):\n return not not self.new_spec\n\n async def scale_down(self, workers):\n # We may have groups, if so, map worker addresses to job names\n if not all(w in self.worker_spec for w in workers):\n mapping = {}\n for name, spec in self.worker_spec.items():\n if \"group\" in spec:\n for suffix in spec[\"group\"]:\n mapping[str(name) + suffix] = name\n else:\n mapping[name] = name\n\n workers = {mapping.get(w, w) for w in workers}\n\n for w in workers:\n if w in self.worker_spec:\n del self.worker_spec[w]\n await self\n\n scale_up = scale # backwards compatibility\n\n @property\n def plan(self):\n out = set()\n for name, spec in self.worker_spec.items():\n if \"group\" in spec:\n out.update({str(name) + suffix for suffix in spec[\"group\"]})\n else:\n out.add(name)\n return out\n\n @property\n def requested(self):\n out = set()\n for name in self.workers:\n try:\n spec = self.worker_spec[name]\n except KeyError:\n continue\n if \"group\" in spec:\n out.update({str(name) + suffix for suffix in spec[\"group\"]})\n else:\n out.add(name)\n return out\n\n def adapt(\n self,\n *args,\n minimum=0,\n maximum=math.inf,\n minimum_cores: int = None,\n maximum_cores: int = None,\n minimum_memory: str = None,\n maximum_memory: str = None,\n **kwargs\n ) -> Adaptive:\n \"\"\" Turn on adaptivity\n\n This scales Dask clusters automatically based on scheduler activity.\n\n Parameters\n ----------\n minimum : int\n Minimum number of workers\n maximum : int\n Maximum number of workers\n minimum_cores : int\n Minimum number of cores/threads to keep around in the cluster\n maximum_cores : int\n Maximum number of cores/threads to keep around in the cluster\n minimum_memory : str\n Minimum amount of memory to keep around in the cluster\n Expressed as a string like \"100 GiB\"\n maximum_memory : str\n Maximum amount of memory to keep around in the cluster\n Expressed as a string like \"100 GiB\"\n\n Examples\n --------\n >>> cluster.adapt(minimum=0, maximum_memory=\"100 GiB\", interval='500ms')\n\n See Also\n --------\n dask.distributed.Adaptive : for more keyword arguments\n \"\"\"\n if minimum_cores is not None:\n minimum = max(\n minimum or 0, math.ceil(minimum_cores / self._threads_per_worker())\n )\n if minimum_memory is not None:\n minimum = max(\n minimum or 0,\n math.ceil(parse_bytes(minimum_memory) / self._memory_per_worker()),\n )\n if maximum_cores is not None:\n maximum = min(\n maximum, math.floor(maximum_cores / self._threads_per_worker())\n )\n if maximum_memory is not None:\n maximum = min(\n maximum,\n math.floor(parse_bytes(maximum_memory) / self._memory_per_worker()),\n )\n\n return super().adapt(*args, minimum=minimum, maximum=maximum, **kwargs)\n\n\nasync def run_spec(spec: dict, *args):\n workers = {}\n for k, d in spec.items():\n cls = d[\"cls\"]\n if isinstance(cls, str):\n cls = import_term(cls)\n workers[k] = cls(*args, **d.get(\"opts\", {}))\n\n if workers:\n await asyncio.gather(*workers.values())\n for w in workers.values():\n await w # for tornado gen.coroutine support\n return workers\n\n\n@atexit.register\ndef close_clusters():\n for cluster in list(SpecCluster._instances):\n with ignoring((gen.TimeoutError, TimeoutError)):\n if cluster.status != \"closed\":\n cluster.close(timeout=10)\n","path":"distributed/deploy/spec.py"}],"string":"[\n {\n \"content\": \"import asyncio\\nimport atexit\\nimport copy\\nimport logging\\nimport math\\nimport weakref\\n\\nimport dask\\nfrom tornado import gen\\n\\nfrom .adaptive import Adaptive\\nfrom .cluster import Cluster\\nfrom ..core import rpc, CommClosedError\\nfrom ..utils import (\\n LoopRunner,\\n silence_logging,\\n ignoring,\\n parse_bytes,\\n parse_timedelta,\\n import_term,\\n TimeoutError,\\n)\\nfrom ..scheduler import Scheduler\\nfrom ..security import Security\\n\\n\\nlogger = logging.getLogger(__name__)\\n\\n\\nclass ProcessInterface:\\n \\\"\\\"\\\"\\n An interface for Scheduler and Worker processes for use in SpecCluster\\n\\n This interface is responsible to submit a worker or scheduler process to a\\n resource manager like Kubernetes, Yarn, or SLURM/PBS/SGE/...\\n It should implement the methods below, like ``start`` and ``close``\\n \\\"\\\"\\\"\\n\\n def __init__(self, scheduler=None, name=None):\\n self.address = getattr(self, \\\"address\\\", None)\\n self.external_address = None\\n self.lock = asyncio.Lock()\\n self.status = \\\"created\\\"\\n self._event_finished = asyncio.Event()\\n\\n def __await__(self):\\n async def _():\\n async with self.lock:\\n if self.status == \\\"created\\\":\\n await self.start()\\n assert self.status == \\\"running\\\"\\n return self\\n\\n return _().__await__()\\n\\n async def start(self):\\n \\\"\\\"\\\" Submit the process to the resource manager\\n\\n For workers this doesn't have to wait until the process actually starts,\\n but can return once the resource manager has the request, and will work\\n to make the job exist in the future\\n\\n For the scheduler we will expect the scheduler's ``.address`` attribute\\n to be avaialble after this completes.\\n \\\"\\\"\\\"\\n self.status = \\\"running\\\"\\n\\n async def close(self):\\n \\\"\\\"\\\" Close the process\\n\\n This will be called by the Cluster object when we scale down a node,\\n but only after we ask the Scheduler to close the worker gracefully.\\n This method should kill the process a bit more forcefully and does not\\n need to worry about shutting down gracefully\\n \\\"\\\"\\\"\\n self.status = \\\"closed\\\"\\n self._event_finished.set()\\n\\n async def finished(self):\\n \\\"\\\"\\\" Wait until the server has finished \\\"\\\"\\\"\\n await self._event_finished.wait()\\n\\n def __repr__(self):\\n return \\\"<%s: status=%s>\\\" % (type(self).__name__, self.status)\\n\\n async def __aenter__(self):\\n await self\\n return self\\n\\n async def __aexit__(self, *args, **kwargs):\\n await self.close()\\n\\n\\nclass NoOpAwaitable:\\n \\\"\\\"\\\"An awaitable object that always returns None.\\n\\n Useful to return from a method that can be called in both asynchronous and\\n synchronous contexts\\\"\\\"\\\"\\n\\n def __await__(self):\\n async def f():\\n return None\\n\\n return f().__await__()\\n\\n\\nclass SpecCluster(Cluster):\\n \\\"\\\"\\\" Cluster that requires a full specification of workers\\n\\n The SpecCluster class expects a full specification of the Scheduler and\\n Workers to use. It removes any handling of user inputs (like threads vs\\n processes, number of cores, and so on) and any handling of cluster resource\\n managers (like pods, jobs, and so on). Instead, it expects this\\n information to be passed in scheduler and worker specifications. This\\n class does handle all of the logic around asynchronously cleanly setting up\\n and tearing things down at the right times. Hopefully it can form a base\\n for other more user-centric classes.\\n\\n Parameters\\n ----------\\n workers: dict\\n A dictionary mapping names to worker classes and their specifications\\n See example below\\n scheduler: dict, optional\\n A similar mapping for a scheduler\\n worker: dict\\n A specification of a single worker.\\n This is used for any new workers that are created.\\n asynchronous: bool\\n If this is intended to be used directly within an event loop with\\n async/await\\n silence_logs: bool\\n Whether or not we should silence logging when setting up the cluster.\\n name: str, optional\\n A name to use when printing out the cluster, defaults to type name\\n\\n Examples\\n --------\\n To create a SpecCluster you specify how to set up a Scheduler and Workers\\n\\n >>> from dask.distributed import Scheduler, Worker, Nanny\\n >>> scheduler = {'cls': Scheduler, 'options': {\\\"dashboard_address\\\": ':8787'}}\\n >>> workers = {\\n ... 'my-worker': {\\\"cls\\\": Worker, \\\"options\\\": {\\\"nthreads\\\": 1}},\\n ... 'my-nanny': {\\\"cls\\\": Nanny, \\\"options\\\": {\\\"nthreads\\\": 2}},\\n ... }\\n >>> cluster = SpecCluster(scheduler=scheduler, workers=workers)\\n\\n The worker spec is stored as the ``.worker_spec`` attribute\\n\\n >>> cluster.worker_spec\\n {\\n 'my-worker': {\\\"cls\\\": Worker, \\\"options\\\": {\\\"nthreads\\\": 1}},\\n 'my-nanny': {\\\"cls\\\": Nanny, \\\"options\\\": {\\\"nthreads\\\": 2}},\\n }\\n\\n While the instantiation of this spec is stored in the ``.workers``\\n attribute\\n\\n >>> cluster.workers\\n {\\n 'my-worker': <Worker ...>\\n 'my-nanny': <Nanny ...>\\n }\\n\\n Should the spec change, we can await the cluster or call the\\n ``._correct_state`` method to align the actual state to the specified\\n state.\\n\\n We can also ``.scale(...)`` the cluster, which adds new workers of a given\\n form.\\n\\n >>> worker = {'cls': Worker, 'options': {}}\\n >>> cluster = SpecCluster(scheduler=scheduler, worker=worker)\\n >>> cluster.worker_spec\\n {}\\n\\n >>> cluster.scale(3)\\n >>> cluster.worker_spec\\n {\\n 0: {'cls': Worker, 'options': {}},\\n 1: {'cls': Worker, 'options': {}},\\n 2: {'cls': Worker, 'options': {}},\\n }\\n\\n Note that above we are using the standard ``Worker`` and ``Nanny`` classes,\\n however in practice other classes could be used that handle resource\\n management like ``KubernetesPod`` or ``SLURMJob``. The spec does not need\\n to conform to the expectations of the standard Dask Worker class. It just\\n needs to be called with the provided options, support ``__await__`` and\\n ``close`` methods and the ``worker_address`` property..\\n\\n Also note that uniformity of the specification is not required. Other API\\n could be added externally (in subclasses) that adds workers of different\\n specifications into the same dictionary.\\n\\n If a single entry in the spec will generate multiple dask workers then\\n please provide a `\\\"group\\\"` element to the spec, that includes the suffixes\\n that will be added to each name (this should be handled by your worker\\n class).\\n\\n >>> cluster.worker_spec\\n {\\n 0: {\\\"cls\\\": MultiWorker, \\\"options\\\": {\\\"processes\\\": 3}, \\\"group\\\": [\\\"-0\\\", \\\"-1\\\", -2\\\"]}\\n 1: {\\\"cls\\\": MultiWorker, \\\"options\\\": {\\\"processes\\\": 2}, \\\"group\\\": [\\\"-0\\\", \\\"-1\\\"]}\\n }\\n\\n These suffixes should correspond to the names used by the workers when\\n they deploy.\\n\\n >>> [ws.name for ws in cluster.scheduler.workers.values()]\\n [\\\"0-0\\\", \\\"0-1\\\", \\\"0-2\\\", \\\"1-0\\\", \\\"1-1\\\"]\\n \\\"\\\"\\\"\\n\\n _instances = weakref.WeakSet()\\n\\n def __init__(\\n self,\\n workers=None,\\n scheduler=None,\\n worker=None,\\n asynchronous=False,\\n loop=None,\\n security=None,\\n silence_logs=False,\\n name=None,\\n ):\\n self._created = weakref.WeakSet()\\n\\n self.scheduler_spec = copy.copy(scheduler)\\n self.worker_spec = copy.copy(workers) or {}\\n self.new_spec = copy.copy(worker)\\n self.workers = {}\\n self._i = 0\\n self.security = security or Security()\\n self.scheduler_comm = None\\n self._futures = set()\\n\\n if silence_logs:\\n self._old_logging_level = silence_logging(level=silence_logs)\\n self._old_bokeh_logging_level = silence_logging(\\n level=silence_logs, root=\\\"bokeh\\\"\\n )\\n\\n self._loop_runner = LoopRunner(loop=loop, asynchronous=asynchronous)\\n self.loop = self._loop_runner.loop\\n\\n self._instances.add(self)\\n self._correct_state_waiting = None\\n self._name = name or type(self).__name__\\n\\n super().__init__(asynchronous=asynchronous)\\n\\n if not self.asynchronous:\\n self._loop_runner.start()\\n self.sync(self._start)\\n self.sync(self._correct_state)\\n\\n async def _start(self):\\n while self.status == \\\"starting\\\":\\n await asyncio.sleep(0.01)\\n if self.status == \\\"running\\\":\\n return\\n if self.status == \\\"closed\\\":\\n raise ValueError(\\\"Cluster is closed\\\")\\n\\n self._lock = asyncio.Lock()\\n\\n if self.scheduler_spec is None:\\n try:\\n import distributed.dashboard # noqa: F401\\n except ImportError:\\n pass\\n else:\\n options = {\\\"dashboard\\\": True}\\n self.scheduler_spec = {\\\"cls\\\": Scheduler, \\\"options\\\": options}\\n\\n cls = self.scheduler_spec[\\\"cls\\\"]\\n if isinstance(cls, str):\\n cls = import_term(cls)\\n self.scheduler = cls(**self.scheduler_spec.get(\\\"options\\\", {}))\\n\\n self.status = \\\"starting\\\"\\n self.scheduler = await self.scheduler\\n self.scheduler_comm = rpc(\\n getattr(self.scheduler, \\\"external_address\\\", None) or self.scheduler.address,\\n connection_args=self.security.get_connection_args(\\\"client\\\"),\\n )\\n await super()._start()\\n\\n def _correct_state(self):\\n if self._correct_state_waiting:\\n # If people call this frequently, we only want to run it once\\n return self._correct_state_waiting\\n else:\\n task = asyncio.ensure_future(self._correct_state_internal())\\n self._correct_state_waiting = task\\n return task\\n\\n async def _correct_state_internal(self):\\n async with self._lock:\\n self._correct_state_waiting = None\\n\\n pre = list(set(self.workers))\\n to_close = set(self.workers) - set(self.worker_spec)\\n if to_close:\\n if self.scheduler.status == \\\"running\\\":\\n await self.scheduler_comm.retire_workers(workers=list(to_close))\\n tasks = [self.workers[w].close() for w in to_close if w in self.workers]\\n await asyncio.wait(tasks)\\n for task in tasks: # for tornado gen.coroutine support\\n with ignoring(RuntimeError):\\n await task\\n for name in to_close:\\n if name in self.workers:\\n del self.workers[name]\\n\\n to_open = set(self.worker_spec) - set(self.workers)\\n workers = []\\n for name in to_open:\\n d = self.worker_spec[name]\\n cls, opts = d[\\\"cls\\\"], d.get(\\\"options\\\", {})\\n if \\\"name\\\" not in opts:\\n opts = opts.copy()\\n opts[\\\"name\\\"] = name\\n if isinstance(cls, str):\\n cls = import_term(cls)\\n worker = cls(self.scheduler.address, **opts)\\n self._created.add(worker)\\n workers.append(worker)\\n if workers:\\n await asyncio.wait(workers)\\n for w in workers:\\n w._cluster = weakref.ref(self)\\n await w # for tornado gen.coroutine support\\n self.workers.update(dict(zip(to_open, workers)))\\n\\n def _update_worker_status(self, op, msg):\\n if op == \\\"remove\\\":\\n name = self.scheduler_info[\\\"workers\\\"][msg][\\\"name\\\"]\\n\\n def f():\\n if (\\n name in self.workers\\n and msg not in self.scheduler_info[\\\"workers\\\"]\\n and not any(\\n d[\\\"name\\\"] == name\\n for d in self.scheduler_info[\\\"workers\\\"].values()\\n )\\n ):\\n self._futures.add(asyncio.ensure_future(self.workers[name].close()))\\n del self.workers[name]\\n\\n delay = parse_timedelta(\\n dask.config.get(\\\"distributed.deploy.lost-worker-timeout\\\")\\n )\\n\\n asyncio.get_event_loop().call_later(delay, f)\\n super()._update_worker_status(op, msg)\\n\\n def __await__(self):\\n async def _():\\n if self.status == \\\"created\\\":\\n await self._start()\\n await self.scheduler\\n await self._correct_state()\\n if self.workers:\\n await asyncio.wait(list(self.workers.values())) # maybe there are more\\n return self\\n\\n return _().__await__()\\n\\n async def _close(self):\\n while self.status == \\\"closing\\\":\\n await asyncio.sleep(0.1)\\n if self.status == \\\"closed\\\":\\n return\\n self.status = \\\"closing\\\"\\n\\n self.scale(0)\\n await self._correct_state()\\n for future in self._futures:\\n await future\\n async with self._lock:\\n with ignoring(CommClosedError):\\n await self.scheduler_comm.close(close_workers=True)\\n\\n await self.scheduler.close()\\n for w in self._created:\\n assert w.status == \\\"closed\\\", w.status\\n\\n if hasattr(self, \\\"_old_logging_level\\\"):\\n silence_logging(self._old_logging_level)\\n if hasattr(self, \\\"_old_bokeh_logging_level\\\"):\\n silence_logging(self._old_bokeh_logging_level, root=\\\"bokeh\\\")\\n\\n await super()._close()\\n\\n async def __aenter__(self):\\n await self\\n await self._correct_state()\\n assert self.status == \\\"running\\\"\\n return self\\n\\n def __exit__(self, typ, value, traceback):\\n super().__exit__(typ, value, traceback)\\n self._loop_runner.stop()\\n\\n def _threads_per_worker(self) -> int:\\n \\\"\\\"\\\" Return the number of threads per worker for new workers \\\"\\\"\\\"\\n if not self.new_spec:\\n raise ValueError(\\\"To scale by cores= you must specify cores per worker\\\")\\n\\n for name in [\\\"nthreads\\\", \\\"ncores\\\", \\\"threads\\\", \\\"cores\\\"]:\\n with ignoring(KeyError):\\n return self.new_spec[\\\"options\\\"][name]\\n\\n if not self.new_spec:\\n raise ValueError(\\\"To scale by cores= you must specify cores per worker\\\")\\n\\n def _memory_per_worker(self) -> int:\\n \\\"\\\"\\\" Return the memory limit per worker for new workers \\\"\\\"\\\"\\n if not self.new_spec:\\n raise ValueError(\\n \\\"to scale by memory= your worker definition must include a memory_limit definition\\\"\\n )\\n\\n for name in [\\\"memory_limit\\\", \\\"memory\\\"]:\\n with ignoring(KeyError):\\n return parse_bytes(self.new_spec[\\\"options\\\"][name])\\n\\n raise ValueError(\\n \\\"to use scale(memory=...) your worker definition must include a memory_limit definition\\\"\\n )\\n\\n def scale(self, n=0, memory=None, cores=None):\\n if memory is not None:\\n n = max(n, int(math.ceil(parse_bytes(memory) / self._memory_per_worker())))\\n\\n if cores is not None:\\n n = max(n, int(math.ceil(cores / self._threads_per_worker())))\\n\\n if len(self.worker_spec) > n:\\n not_yet_launched = set(self.worker_spec) - {\\n v[\\\"name\\\"] for v in self.scheduler_info[\\\"workers\\\"].values()\\n }\\n while len(self.worker_spec) > n and not_yet_launched:\\n del self.worker_spec[not_yet_launched.pop()]\\n\\n while len(self.worker_spec) > n:\\n self.worker_spec.popitem()\\n\\n if self.status not in (\\\"closing\\\", \\\"closed\\\"):\\n while len(self.worker_spec) < n:\\n self.worker_spec.update(self.new_worker_spec())\\n\\n self.loop.add_callback(self._correct_state)\\n\\n if self.asynchronous:\\n return NoOpAwaitable()\\n\\n def new_worker_spec(self):\\n \\\"\\\"\\\" Return name and spec for the next worker\\n\\n Returns\\n -------\\n d: dict mapping names to worker specs\\n\\n See Also\\n --------\\n scale\\n \\\"\\\"\\\"\\n while self._i in self.worker_spec:\\n self._i += 1\\n\\n return {self._i: self.new_spec}\\n\\n @property\\n def _supports_scaling(self):\\n return not not self.new_spec\\n\\n async def scale_down(self, workers):\\n # We may have groups, if so, map worker addresses to job names\\n if not all(w in self.worker_spec for w in workers):\\n mapping = {}\\n for name, spec in self.worker_spec.items():\\n if \\\"group\\\" in spec:\\n for suffix in spec[\\\"group\\\"]:\\n mapping[str(name) + suffix] = name\\n else:\\n mapping[name] = name\\n\\n workers = {mapping.get(w, w) for w in workers}\\n\\n for w in workers:\\n if w in self.worker_spec:\\n del self.worker_spec[w]\\n await self\\n\\n scale_up = scale # backwards compatibility\\n\\n @property\\n def plan(self):\\n out = set()\\n for name, spec in self.worker_spec.items():\\n if \\\"group\\\" in spec:\\n out.update({str(name) + suffix for suffix in spec[\\\"group\\\"]})\\n else:\\n out.add(name)\\n return out\\n\\n @property\\n def requested(self):\\n out = set()\\n for name in self.workers:\\n try:\\n spec = self.worker_spec[name]\\n except KeyError:\\n continue\\n if \\\"group\\\" in spec:\\n out.update({str(name) + suffix for suffix in spec[\\\"group\\\"]})\\n else:\\n out.add(name)\\n return out\\n\\n def adapt(\\n self,\\n *args,\\n minimum=0,\\n maximum=math.inf,\\n minimum_cores: int = None,\\n maximum_cores: int = None,\\n minimum_memory: str = None,\\n maximum_memory: str = None,\\n **kwargs\\n ) -> Adaptive:\\n \\\"\\\"\\\" Turn on adaptivity\\n\\n This scales Dask clusters automatically based on scheduler activity.\\n\\n Parameters\\n ----------\\n minimum : int\\n Minimum number of workers\\n maximum : int\\n Maximum number of workers\\n minimum_cores : int\\n Minimum number of cores/threads to keep around in the cluster\\n maximum_cores : int\\n Maximum number of cores/threads to keep around in the cluster\\n minimum_memory : str\\n Minimum amount of memory to keep around in the cluster\\n Expressed as a string like \\\"100 GiB\\\"\\n maximum_memory : str\\n Maximum amount of memory to keep around in the cluster\\n Expressed as a string like \\\"100 GiB\\\"\\n\\n Examples\\n --------\\n >>> cluster.adapt(minimum=0, maximum_memory=\\\"100 GiB\\\", interval='500ms')\\n\\n See Also\\n --------\\n dask.distributed.Adaptive : for more keyword arguments\\n \\\"\\\"\\\"\\n if minimum_cores is not None:\\n minimum = max(\\n minimum or 0, math.ceil(minimum_cores / self._threads_per_worker())\\n )\\n if minimum_memory is not None:\\n minimum = max(\\n minimum or 0,\\n math.ceil(parse_bytes(minimum_memory) / self._memory_per_worker()),\\n )\\n if maximum_cores is not None:\\n maximum = min(\\n maximum, math.floor(maximum_cores / self._threads_per_worker())\\n )\\n if maximum_memory is not None:\\n maximum = min(\\n maximum,\\n math.floor(parse_bytes(maximum_memory) / self._memory_per_worker()),\\n )\\n\\n return super().adapt(*args, minimum=minimum, maximum=maximum, **kwargs)\\n\\n\\nasync def run_spec(spec: dict, *args):\\n workers = {}\\n for k, d in spec.items():\\n cls = d[\\\"cls\\\"]\\n if isinstance(cls, str):\\n cls = import_term(cls)\\n workers[k] = cls(*args, **d.get(\\\"opts\\\", {}))\\n\\n if workers:\\n await asyncio.gather(*workers.values())\\n for w in workers.values():\\n await w # for tornado gen.coroutine support\\n return workers\\n\\n\\n@atexit.register\\ndef close_clusters():\\n for cluster in list(SpecCluster._instances):\\n with ignoring((gen.TimeoutError, TimeoutError)):\\n if cluster.status != \\\"closed\\\":\\n cluster.close(timeout=10)\\n\",\n \"path\": \"distributed/deploy/spec.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/distributed/deploy/spec.py b/distributed/deploy/spec.py\nindex c6338d3b93f..eb9f0f0043e 100644\n--- a/distributed/deploy/spec.py\n+++ b/distributed/deploy/spec.py\n@@ -551,7 +551,7 @@ def adapt(\n minimum_memory : str\n Minimum amount of memory to keep around in the cluster\n Expressed as a string like \"100 GiB\"\n- maximum_cores : int\n+ maximum_memory : str\n Maximum amount of memory to keep around in the cluster\n Expressed as a string like \"100 GiB\"\n \n"}}},{"rowIdx":6582,"cells":{"in_source_id":{"kind":"string","value":"qtile__qtile-2158"},"issue":{"kind":"string","value":"Missing requirement in documentation for Volume widget\n# Issue description\r\nThe Volume widget by default needs access to amixer, which is part of the package alsa-utils, unless the `get_volume_command` is manually set to something else by the user.\r\n\r\nThis is not mentioned in the documentation [http://docs.qtile.org/en/latest/manual/ref/widgets.html#volume](http://docs.qtile.org/en/latest/manual/ref/widgets.html#volume)\r\n\r\n# Qtile version\r\n0.16.1\r\n\r\n# Stack traces\r\nN/A\r\n\r\n# Configuration\r\nIrrelevant\r\n\n"},"before_files":{"kind":"list like","value":[{"content":"# Copyright (c) 2010, 2012, 2014 roger\n# Copyright (c) 2011 Kirk Strauser\n# Copyright (c) 2011 Florian Mounier\n# Copyright (c) 2011 Mounier Florian\n# Copyright (c) 2011 Roger Duran\n# Copyright (c) 2012-2015 Tycho Andersen\n# Copyright (c) 2013 Tao Sauvage\n# Copyright (c) 2013 Craig Barnes\n# Copyright (c) 2014-2015 Sean Vig\n# Copyright (c) 2014 Adi Sieker\n# Copyright (c) 2014 dmpayton\n# Copyright (c) 2014 Jody Frankowski\n# Copyright (c) 2016 Christoph Lassner\n#\n# Permission is hereby granted, free of charge, to any person obtaining a copy\n# of this software and associated documentation files (the \"Software\"), to deal\n# in the Software without restriction, including without limitation the rights\n# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n# copies of the Software, and to permit persons to whom the Software is\n# furnished to do so, subject to the following conditions:\n#\n# The above copyright notice and this permission notice shall be included in\n# all copies or substantial portions of the Software.\n#\n# THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n# SOFTWARE.\n\nimport re\nimport subprocess\n\nfrom libqtile import bar\nfrom libqtile.widget import base\n\n__all__ = [\n 'Volume',\n]\n\nre_vol = re.compile(r'\\[(\\d?\\d?\\d?)%\\]')\n\n\nclass Volume(base._TextBox):\n \"\"\"Widget that display and change volume\n\n If theme_path is set it draw widget as icons.\n \"\"\"\n orientations = base.ORIENTATION_HORIZONTAL\n defaults = [\n (\"cardid\", None, \"Card Id\"),\n (\"device\", \"default\", \"Device Name\"),\n (\"channel\", \"Master\", \"Channel\"),\n (\"padding\", 3, \"Padding left and right. Calculated if None.\"),\n (\"update_interval\", 0.2, \"Update time in seconds.\"),\n (\"theme_path\", None, \"Path of the icons\"),\n (\"emoji\", False, \"Use emoji to display volume states, only if ``theme_path`` is not set.\"\n \"The specified font needs to contain the correct unicode characters.\"),\n (\"mute_command\", None, \"Mute command\"),\n (\"volume_app\", None, \"App to control volume\"),\n (\"volume_up_command\", None, \"Volume up command\"),\n (\"volume_down_command\", None, \"Volume down command\"),\n (\"get_volume_command\", None, \"Command to get the current volume\"),\n (\"step\", 2, \"Volume change for up an down commands in percentage.\"\n \"Only used if ``volume_up_command`` and ``volume_down_command`` are not set.\")\n ]\n\n def __init__(self, **config):\n base._TextBox.__init__(self, '0', width=bar.CALCULATED, **config)\n self.add_defaults(Volume.defaults)\n if self.theme_path:\n self.length_type = bar.STATIC\n self.length = 0\n self.surfaces = {}\n self.volume = None\n\n self.add_callbacks({\n 'Button1': self.cmd_mute,\n 'Button3': self.cmd_run_app,\n 'Button4': self.cmd_increase_vol,\n 'Button5': self.cmd_decrease_vol,\n })\n\n def timer_setup(self):\n self.timeout_add(self.update_interval, self.update)\n if self.theme_path:\n self.setup_images()\n\n def create_amixer_command(self, *args):\n cmd = ['amixer']\n\n if (self.cardid is not None):\n cmd.extend(['-c', str(self.cardid)])\n\n if (self.device is not None):\n cmd.extend(['-D', str(self.device)])\n\n cmd.extend([x for x in args])\n return cmd\n\n def button_press(self, x, y, button):\n base._TextBox.button_press(self, x, y, button)\n self.draw()\n\n def update(self):\n vol = self.get_volume()\n if vol != self.volume:\n self.volume = vol\n # Update the underlying canvas size before actually attempting\n # to figure out how big it is and draw it.\n self._update_drawer()\n self.bar.draw()\n self.timeout_add(self.update_interval, self.update)\n\n def _update_drawer(self):\n if self.theme_path:\n self.drawer.clear(self.background or self.bar.background)\n if self.volume <= 0:\n img_name = 'audio-volume-muted'\n elif self.volume <= 30:\n img_name = 'audio-volume-low'\n elif self.volume < 80:\n img_name = 'audio-volume-medium'\n else: # self.volume >= 80:\n img_name = 'audio-volume-high'\n\n self.drawer.ctx.set_source(self.surfaces[img_name])\n self.drawer.ctx.paint()\n elif self.emoji:\n if self.volume <= 0:\n self.text = u'\\U0001f507'\n elif self.volume <= 30:\n self.text = u'\\U0001f508'\n elif self.volume < 80:\n self.text = u'\\U0001f509'\n elif self.volume >= 80:\n self.text = u'\\U0001f50a'\n else:\n if self.volume == -1:\n self.text = 'M'\n else:\n self.text = '{}%'.format(self.volume)\n\n def setup_images(self):\n from libqtile import images\n names = (\n 'audio-volume-high',\n 'audio-volume-low',\n 'audio-volume-medium',\n 'audio-volume-muted',\n )\n d_images = images.Loader(self.theme_path)(*names)\n for name, img in d_images.items():\n new_height = self.bar.height - 1\n img.resize(height=new_height)\n if img.width > self.length:\n self.length = img.width + self.actual_padding * 2\n self.surfaces[name] = img.pattern\n\n def get_volume(self):\n try:\n get_volume_cmd = self.create_amixer_command('sget',\n self.channel)\n\n if self.get_volume_command:\n get_volume_cmd = self.get_volume_command\n\n mixer_out = self.call_process(get_volume_cmd)\n except subprocess.CalledProcessError:\n return -1\n\n if '[off]' in mixer_out:\n return -1\n\n volgroups = re_vol.search(mixer_out)\n if volgroups:\n return int(volgroups.groups()[0])\n else:\n # this shouldn't happen\n return -1\n\n def draw(self):\n if self.theme_path:\n self.drawer.draw(offsetx=self.offset, width=self.length)\n else:\n base._TextBox.draw(self)\n\n def cmd_increase_vol(self):\n if self.volume_up_command is not None:\n subprocess.call(self.volume_up_command, shell=True)\n else:\n subprocess.call(self.create_amixer_command('-q',\n 'sset',\n self.channel,\n '{}%+'.format(self.step)))\n\n def cmd_decrease_vol(self):\n if self.volume_down_command is not None:\n subprocess.call(self.volume_down_command, shell=True)\n else:\n subprocess.call(self.create_amixer_command('-q',\n 'sset',\n self.channel,\n '{}%-'.format(self.step)))\n\n def cmd_mute(self):\n if self.mute_command is not None:\n subprocess.call(self.mute_command, shell=True)\n else:\n subprocess.call(self.create_amixer_command('-q',\n 'sset',\n self.channel,\n 'toggle'))\n\n def cmd_run_app(self):\n if self.volume_app is not None:\n subprocess.Popen(self.volume_app, shell=True)\n","path":"libqtile/widget/volume.py"}],"string":"[\n {\n \"content\": \"# Copyright (c) 2010, 2012, 2014 roger\\n# Copyright (c) 2011 Kirk Strauser\\n# Copyright (c) 2011 Florian Mounier\\n# Copyright (c) 2011 Mounier Florian\\n# Copyright (c) 2011 Roger Duran\\n# Copyright (c) 2012-2015 Tycho Andersen\\n# Copyright (c) 2013 Tao Sauvage\\n# Copyright (c) 2013 Craig Barnes\\n# Copyright (c) 2014-2015 Sean Vig\\n# Copyright (c) 2014 Adi Sieker\\n# Copyright (c) 2014 dmpayton\\n# Copyright (c) 2014 Jody Frankowski\\n# Copyright (c) 2016 Christoph Lassner\\n#\\n# Permission is hereby granted, free of charge, to any person obtaining a copy\\n# of this software and associated documentation files (the \\\"Software\\\"), to deal\\n# in the Software without restriction, including without limitation the rights\\n# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\\n# copies of the Software, and to permit persons to whom the Software is\\n# furnished to do so, subject to the following conditions:\\n#\\n# The above copyright notice and this permission notice shall be included in\\n# all copies or substantial portions of the Software.\\n#\\n# THE SOFTWARE IS PROVIDED \\\"AS IS\\\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\\n# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\\n# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\\n# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\\n# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\\n# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\\n# SOFTWARE.\\n\\nimport re\\nimport subprocess\\n\\nfrom libqtile import bar\\nfrom libqtile.widget import base\\n\\n__all__ = [\\n 'Volume',\\n]\\n\\nre_vol = re.compile(r'\\\\[(\\\\d?\\\\d?\\\\d?)%\\\\]')\\n\\n\\nclass Volume(base._TextBox):\\n \\\"\\\"\\\"Widget that display and change volume\\n\\n If theme_path is set it draw widget as icons.\\n \\\"\\\"\\\"\\n orientations = base.ORIENTATION_HORIZONTAL\\n defaults = [\\n (\\\"cardid\\\", None, \\\"Card Id\\\"),\\n (\\\"device\\\", \\\"default\\\", \\\"Device Name\\\"),\\n (\\\"channel\\\", \\\"Master\\\", \\\"Channel\\\"),\\n (\\\"padding\\\", 3, \\\"Padding left and right. Calculated if None.\\\"),\\n (\\\"update_interval\\\", 0.2, \\\"Update time in seconds.\\\"),\\n (\\\"theme_path\\\", None, \\\"Path of the icons\\\"),\\n (\\\"emoji\\\", False, \\\"Use emoji to display volume states, only if ``theme_path`` is not set.\\\"\\n \\\"The specified font needs to contain the correct unicode characters.\\\"),\\n (\\\"mute_command\\\", None, \\\"Mute command\\\"),\\n (\\\"volume_app\\\", None, \\\"App to control volume\\\"),\\n (\\\"volume_up_command\\\", None, \\\"Volume up command\\\"),\\n (\\\"volume_down_command\\\", None, \\\"Volume down command\\\"),\\n (\\\"get_volume_command\\\", None, \\\"Command to get the current volume\\\"),\\n (\\\"step\\\", 2, \\\"Volume change for up an down commands in percentage.\\\"\\n \\\"Only used if ``volume_up_command`` and ``volume_down_command`` are not set.\\\")\\n ]\\n\\n def __init__(self, **config):\\n base._TextBox.__init__(self, '0', width=bar.CALCULATED, **config)\\n self.add_defaults(Volume.defaults)\\n if self.theme_path:\\n self.length_type = bar.STATIC\\n self.length = 0\\n self.surfaces = {}\\n self.volume = None\\n\\n self.add_callbacks({\\n 'Button1': self.cmd_mute,\\n 'Button3': self.cmd_run_app,\\n 'Button4': self.cmd_increase_vol,\\n 'Button5': self.cmd_decrease_vol,\\n })\\n\\n def timer_setup(self):\\n self.timeout_add(self.update_interval, self.update)\\n if self.theme_path:\\n self.setup_images()\\n\\n def create_amixer_command(self, *args):\\n cmd = ['amixer']\\n\\n if (self.cardid is not None):\\n cmd.extend(['-c', str(self.cardid)])\\n\\n if (self.device is not None):\\n cmd.extend(['-D', str(self.device)])\\n\\n cmd.extend([x for x in args])\\n return cmd\\n\\n def button_press(self, x, y, button):\\n base._TextBox.button_press(self, x, y, button)\\n self.draw()\\n\\n def update(self):\\n vol = self.get_volume()\\n if vol != self.volume:\\n self.volume = vol\\n # Update the underlying canvas size before actually attempting\\n # to figure out how big it is and draw it.\\n self._update_drawer()\\n self.bar.draw()\\n self.timeout_add(self.update_interval, self.update)\\n\\n def _update_drawer(self):\\n if self.theme_path:\\n self.drawer.clear(self.background or self.bar.background)\\n if self.volume <= 0:\\n img_name = 'audio-volume-muted'\\n elif self.volume <= 30:\\n img_name = 'audio-volume-low'\\n elif self.volume < 80:\\n img_name = 'audio-volume-medium'\\n else: # self.volume >= 80:\\n img_name = 'audio-volume-high'\\n\\n self.drawer.ctx.set_source(self.surfaces[img_name])\\n self.drawer.ctx.paint()\\n elif self.emoji:\\n if self.volume <= 0:\\n self.text = u'\\\\U0001f507'\\n elif self.volume <= 30:\\n self.text = u'\\\\U0001f508'\\n elif self.volume < 80:\\n self.text = u'\\\\U0001f509'\\n elif self.volume >= 80:\\n self.text = u'\\\\U0001f50a'\\n else:\\n if self.volume == -1:\\n self.text = 'M'\\n else:\\n self.text = '{}%'.format(self.volume)\\n\\n def setup_images(self):\\n from libqtile import images\\n names = (\\n 'audio-volume-high',\\n 'audio-volume-low',\\n 'audio-volume-medium',\\n 'audio-volume-muted',\\n )\\n d_images = images.Loader(self.theme_path)(*names)\\n for name, img in d_images.items():\\n new_height = self.bar.height - 1\\n img.resize(height=new_height)\\n if img.width > self.length:\\n self.length = img.width + self.actual_padding * 2\\n self.surfaces[name] = img.pattern\\n\\n def get_volume(self):\\n try:\\n get_volume_cmd = self.create_amixer_command('sget',\\n self.channel)\\n\\n if self.get_volume_command:\\n get_volume_cmd = self.get_volume_command\\n\\n mixer_out = self.call_process(get_volume_cmd)\\n except subprocess.CalledProcessError:\\n return -1\\n\\n if '[off]' in mixer_out:\\n return -1\\n\\n volgroups = re_vol.search(mixer_out)\\n if volgroups:\\n return int(volgroups.groups()[0])\\n else:\\n # this shouldn't happen\\n return -1\\n\\n def draw(self):\\n if self.theme_path:\\n self.drawer.draw(offsetx=self.offset, width=self.length)\\n else:\\n base._TextBox.draw(self)\\n\\n def cmd_increase_vol(self):\\n if self.volume_up_command is not None:\\n subprocess.call(self.volume_up_command, shell=True)\\n else:\\n subprocess.call(self.create_amixer_command('-q',\\n 'sset',\\n self.channel,\\n '{}%+'.format(self.step)))\\n\\n def cmd_decrease_vol(self):\\n if self.volume_down_command is not None:\\n subprocess.call(self.volume_down_command, shell=True)\\n else:\\n subprocess.call(self.create_amixer_command('-q',\\n 'sset',\\n self.channel,\\n '{}%-'.format(self.step)))\\n\\n def cmd_mute(self):\\n if self.mute_command is not None:\\n subprocess.call(self.mute_command, shell=True)\\n else:\\n subprocess.call(self.create_amixer_command('-q',\\n 'sset',\\n self.channel,\\n 'toggle'))\\n\\n def cmd_run_app(self):\\n if self.volume_app is not None:\\n subprocess.Popen(self.volume_app, shell=True)\\n\",\n \"path\": \"libqtile/widget/volume.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"# Copyright (c) 2010, 2012, 2014 roger\n# Copyright (c) 2011 Kirk Strauser\n# Copyright (c) 2011 Florian Mounier\n# Copyright (c) 2011 Mounier Florian\n# Copyright (c) 2011 Roger Duran\n# Copyright (c) 2012-2015 Tycho Andersen\n# Copyright (c) 2013 Tao Sauvage\n# Copyright (c) 2013 Craig Barnes\n# Copyright (c) 2014-2015 Sean Vig\n# Copyright (c) 2014 Adi Sieker\n# Copyright (c) 2014 dmpayton\n# Copyright (c) 2014 Jody Frankowski\n# Copyright (c) 2016 Christoph Lassner\n#\n# Permission is hereby granted, free of charge, to any person obtaining a copy\n# of this software and associated documentation files (the \"Software\"), to deal\n# in the Software without restriction, including without limitation the rights\n# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n# copies of the Software, and to permit persons to whom the Software is\n# furnished to do so, subject to the following conditions:\n#\n# The above copyright notice and this permission notice shall be included in\n# all copies or substantial portions of the Software.\n#\n# THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n# SOFTWARE.\n\nimport re\nimport subprocess\n\nfrom libqtile import bar\nfrom libqtile.widget import base\n\n__all__ = [\n 'Volume',\n]\n\nre_vol = re.compile(r'\\[(\\d?\\d?\\d?)%\\]')\n\n\nclass Volume(base._TextBox):\n \"\"\"Widget that display and change volume\n\n By default, this widget uses ``amixer`` to get and set the volume so users\n will need to make sure this is installed. Alternatively, users may set the\n relevant parameters for the widget to use a different application.\n\n If theme_path is set it draw widget as icons.\n \"\"\"\n orientations = base.ORIENTATION_HORIZONTAL\n defaults = [\n (\"cardid\", None, \"Card Id\"),\n (\"device\", \"default\", \"Device Name\"),\n (\"channel\", \"Master\", \"Channel\"),\n (\"padding\", 3, \"Padding left and right. Calculated if None.\"),\n (\"update_interval\", 0.2, \"Update time in seconds.\"),\n (\"theme_path\", None, \"Path of the icons\"),\n (\"emoji\", False, \"Use emoji to display volume states, only if ``theme_path`` is not set.\"\n \"The specified font needs to contain the correct unicode characters.\"),\n (\"mute_command\", None, \"Mute command\"),\n (\"volume_app\", None, \"App to control volume\"),\n (\"volume_up_command\", None, \"Volume up command\"),\n (\"volume_down_command\", None, \"Volume down command\"),\n (\"get_volume_command\", None, \"Command to get the current volume\"),\n (\"step\", 2, \"Volume change for up an down commands in percentage.\"\n \"Only used if ``volume_up_command`` and ``volume_down_command`` are not set.\")\n ]\n\n def __init__(self, **config):\n base._TextBox.__init__(self, '0', width=bar.CALCULATED, **config)\n self.add_defaults(Volume.defaults)\n if self.theme_path:\n self.length_type = bar.STATIC\n self.length = 0\n self.surfaces = {}\n self.volume = None\n\n self.add_callbacks({\n 'Button1': self.cmd_mute,\n 'Button3': self.cmd_run_app,\n 'Button4': self.cmd_increase_vol,\n 'Button5': self.cmd_decrease_vol,\n })\n\n def timer_setup(self):\n self.timeout_add(self.update_interval, self.update)\n if self.theme_path:\n self.setup_images()\n\n def create_amixer_command(self, *args):\n cmd = ['amixer']\n\n if (self.cardid is not None):\n cmd.extend(['-c', str(self.cardid)])\n\n if (self.device is not None):\n cmd.extend(['-D', str(self.device)])\n\n cmd.extend([x for x in args])\n return cmd\n\n def button_press(self, x, y, button):\n base._TextBox.button_press(self, x, y, button)\n self.draw()\n\n def update(self):\n vol = self.get_volume()\n if vol != self.volume:\n self.volume = vol\n # Update the underlying canvas size before actually attempting\n # to figure out how big it is and draw it.\n self._update_drawer()\n self.bar.draw()\n self.timeout_add(self.update_interval, self.update)\n\n def _update_drawer(self):\n if self.theme_path:\n self.drawer.clear(self.background or self.bar.background)\n if self.volume <= 0:\n img_name = 'audio-volume-muted'\n elif self.volume <= 30:\n img_name = 'audio-volume-low'\n elif self.volume < 80:\n img_name = 'audio-volume-medium'\n else: # self.volume >= 80:\n img_name = 'audio-volume-high'\n\n self.drawer.ctx.set_source(self.surfaces[img_name])\n self.drawer.ctx.paint()\n elif self.emoji:\n if self.volume <= 0:\n self.text = u'\\U0001f507'\n elif self.volume <= 30:\n self.text = u'\\U0001f508'\n elif self.volume < 80:\n self.text = u'\\U0001f509'\n elif self.volume >= 80:\n self.text = u'\\U0001f50a'\n else:\n if self.volume == -1:\n self.text = 'M'\n else:\n self.text = '{}%'.format(self.volume)\n\n def setup_images(self):\n from libqtile import images\n names = (\n 'audio-volume-high',\n 'audio-volume-low',\n 'audio-volume-medium',\n 'audio-volume-muted',\n )\n d_images = images.Loader(self.theme_path)(*names)\n for name, img in d_images.items():\n new_height = self.bar.height - 1\n img.resize(height=new_height)\n if img.width > self.length:\n self.length = img.width + self.actual_padding * 2\n self.surfaces[name] = img.pattern\n\n def get_volume(self):\n try:\n get_volume_cmd = self.create_amixer_command('sget',\n self.channel)\n\n if self.get_volume_command:\n get_volume_cmd = self.get_volume_command\n\n mixer_out = self.call_process(get_volume_cmd)\n except subprocess.CalledProcessError:\n return -1\n\n if '[off]' in mixer_out:\n return -1\n\n volgroups = re_vol.search(mixer_out)\n if volgroups:\n return int(volgroups.groups()[0])\n else:\n # this shouldn't happen\n return -1\n\n def draw(self):\n if self.theme_path:\n self.drawer.draw(offsetx=self.offset, width=self.length)\n else:\n base._TextBox.draw(self)\n\n def cmd_increase_vol(self):\n if self.volume_up_command is not None:\n subprocess.call(self.volume_up_command, shell=True)\n else:\n subprocess.call(self.create_amixer_command('-q',\n 'sset',\n self.channel,\n '{}%+'.format(self.step)))\n\n def cmd_decrease_vol(self):\n if self.volume_down_command is not None:\n subprocess.call(self.volume_down_command, shell=True)\n else:\n subprocess.call(self.create_amixer_command('-q',\n 'sset',\n self.channel,\n '{}%-'.format(self.step)))\n\n def cmd_mute(self):\n if self.mute_command is not None:\n subprocess.call(self.mute_command, shell=True)\n else:\n subprocess.call(self.create_amixer_command('-q',\n 'sset',\n self.channel,\n 'toggle'))\n\n def cmd_run_app(self):\n if self.volume_app is not None:\n subprocess.Popen(self.volume_app, shell=True)\n","path":"libqtile/widget/volume.py"}],"string":"[\n {\n \"content\": \"# Copyright (c) 2010, 2012, 2014 roger\\n# Copyright (c) 2011 Kirk Strauser\\n# Copyright (c) 2011 Florian Mounier\\n# Copyright (c) 2011 Mounier Florian\\n# Copyright (c) 2011 Roger Duran\\n# Copyright (c) 2012-2015 Tycho Andersen\\n# Copyright (c) 2013 Tao Sauvage\\n# Copyright (c) 2013 Craig Barnes\\n# Copyright (c) 2014-2015 Sean Vig\\n# Copyright (c) 2014 Adi Sieker\\n# Copyright (c) 2014 dmpayton\\n# Copyright (c) 2014 Jody Frankowski\\n# Copyright (c) 2016 Christoph Lassner\\n#\\n# Permission is hereby granted, free of charge, to any person obtaining a copy\\n# of this software and associated documentation files (the \\\"Software\\\"), to deal\\n# in the Software without restriction, including without limitation the rights\\n# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\\n# copies of the Software, and to permit persons to whom the Software is\\n# furnished to do so, subject to the following conditions:\\n#\\n# The above copyright notice and this permission notice shall be included in\\n# all copies or substantial portions of the Software.\\n#\\n# THE SOFTWARE IS PROVIDED \\\"AS IS\\\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\\n# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\\n# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\\n# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\\n# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\\n# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\\n# SOFTWARE.\\n\\nimport re\\nimport subprocess\\n\\nfrom libqtile import bar\\nfrom libqtile.widget import base\\n\\n__all__ = [\\n 'Volume',\\n]\\n\\nre_vol = re.compile(r'\\\\[(\\\\d?\\\\d?\\\\d?)%\\\\]')\\n\\n\\nclass Volume(base._TextBox):\\n \\\"\\\"\\\"Widget that display and change volume\\n\\n By default, this widget uses ``amixer`` to get and set the volume so users\\n will need to make sure this is installed. Alternatively, users may set the\\n relevant parameters for the widget to use a different application.\\n\\n If theme_path is set it draw widget as icons.\\n \\\"\\\"\\\"\\n orientations = base.ORIENTATION_HORIZONTAL\\n defaults = [\\n (\\\"cardid\\\", None, \\\"Card Id\\\"),\\n (\\\"device\\\", \\\"default\\\", \\\"Device Name\\\"),\\n (\\\"channel\\\", \\\"Master\\\", \\\"Channel\\\"),\\n (\\\"padding\\\", 3, \\\"Padding left and right. Calculated if None.\\\"),\\n (\\\"update_interval\\\", 0.2, \\\"Update time in seconds.\\\"),\\n (\\\"theme_path\\\", None, \\\"Path of the icons\\\"),\\n (\\\"emoji\\\", False, \\\"Use emoji to display volume states, only if ``theme_path`` is not set.\\\"\\n \\\"The specified font needs to contain the correct unicode characters.\\\"),\\n (\\\"mute_command\\\", None, \\\"Mute command\\\"),\\n (\\\"volume_app\\\", None, \\\"App to control volume\\\"),\\n (\\\"volume_up_command\\\", None, \\\"Volume up command\\\"),\\n (\\\"volume_down_command\\\", None, \\\"Volume down command\\\"),\\n (\\\"get_volume_command\\\", None, \\\"Command to get the current volume\\\"),\\n (\\\"step\\\", 2, \\\"Volume change for up an down commands in percentage.\\\"\\n \\\"Only used if ``volume_up_command`` and ``volume_down_command`` are not set.\\\")\\n ]\\n\\n def __init__(self, **config):\\n base._TextBox.__init__(self, '0', width=bar.CALCULATED, **config)\\n self.add_defaults(Volume.defaults)\\n if self.theme_path:\\n self.length_type = bar.STATIC\\n self.length = 0\\n self.surfaces = {}\\n self.volume = None\\n\\n self.add_callbacks({\\n 'Button1': self.cmd_mute,\\n 'Button3': self.cmd_run_app,\\n 'Button4': self.cmd_increase_vol,\\n 'Button5': self.cmd_decrease_vol,\\n })\\n\\n def timer_setup(self):\\n self.timeout_add(self.update_interval, self.update)\\n if self.theme_path:\\n self.setup_images()\\n\\n def create_amixer_command(self, *args):\\n cmd = ['amixer']\\n\\n if (self.cardid is not None):\\n cmd.extend(['-c', str(self.cardid)])\\n\\n if (self.device is not None):\\n cmd.extend(['-D', str(self.device)])\\n\\n cmd.extend([x for x in args])\\n return cmd\\n\\n def button_press(self, x, y, button):\\n base._TextBox.button_press(self, x, y, button)\\n self.draw()\\n\\n def update(self):\\n vol = self.get_volume()\\n if vol != self.volume:\\n self.volume = vol\\n # Update the underlying canvas size before actually attempting\\n # to figure out how big it is and draw it.\\n self._update_drawer()\\n self.bar.draw()\\n self.timeout_add(self.update_interval, self.update)\\n\\n def _update_drawer(self):\\n if self.theme_path:\\n self.drawer.clear(self.background or self.bar.background)\\n if self.volume <= 0:\\n img_name = 'audio-volume-muted'\\n elif self.volume <= 30:\\n img_name = 'audio-volume-low'\\n elif self.volume < 80:\\n img_name = 'audio-volume-medium'\\n else: # self.volume >= 80:\\n img_name = 'audio-volume-high'\\n\\n self.drawer.ctx.set_source(self.surfaces[img_name])\\n self.drawer.ctx.paint()\\n elif self.emoji:\\n if self.volume <= 0:\\n self.text = u'\\\\U0001f507'\\n elif self.volume <= 30:\\n self.text = u'\\\\U0001f508'\\n elif self.volume < 80:\\n self.text = u'\\\\U0001f509'\\n elif self.volume >= 80:\\n self.text = u'\\\\U0001f50a'\\n else:\\n if self.volume == -1:\\n self.text = 'M'\\n else:\\n self.text = '{}%'.format(self.volume)\\n\\n def setup_images(self):\\n from libqtile import images\\n names = (\\n 'audio-volume-high',\\n 'audio-volume-low',\\n 'audio-volume-medium',\\n 'audio-volume-muted',\\n )\\n d_images = images.Loader(self.theme_path)(*names)\\n for name, img in d_images.items():\\n new_height = self.bar.height - 1\\n img.resize(height=new_height)\\n if img.width > self.length:\\n self.length = img.width + self.actual_padding * 2\\n self.surfaces[name] = img.pattern\\n\\n def get_volume(self):\\n try:\\n get_volume_cmd = self.create_amixer_command('sget',\\n self.channel)\\n\\n if self.get_volume_command:\\n get_volume_cmd = self.get_volume_command\\n\\n mixer_out = self.call_process(get_volume_cmd)\\n except subprocess.CalledProcessError:\\n return -1\\n\\n if '[off]' in mixer_out:\\n return -1\\n\\n volgroups = re_vol.search(mixer_out)\\n if volgroups:\\n return int(volgroups.groups()[0])\\n else:\\n # this shouldn't happen\\n return -1\\n\\n def draw(self):\\n if self.theme_path:\\n self.drawer.draw(offsetx=self.offset, width=self.length)\\n else:\\n base._TextBox.draw(self)\\n\\n def cmd_increase_vol(self):\\n if self.volume_up_command is not None:\\n subprocess.call(self.volume_up_command, shell=True)\\n else:\\n subprocess.call(self.create_amixer_command('-q',\\n 'sset',\\n self.channel,\\n '{}%+'.format(self.step)))\\n\\n def cmd_decrease_vol(self):\\n if self.volume_down_command is not None:\\n subprocess.call(self.volume_down_command, shell=True)\\n else:\\n subprocess.call(self.create_amixer_command('-q',\\n 'sset',\\n self.channel,\\n '{}%-'.format(self.step)))\\n\\n def cmd_mute(self):\\n if self.mute_command is not None:\\n subprocess.call(self.mute_command, shell=True)\\n else:\\n subprocess.call(self.create_amixer_command('-q',\\n 'sset',\\n self.channel,\\n 'toggle'))\\n\\n def cmd_run_app(self):\\n if self.volume_app is not None:\\n subprocess.Popen(self.volume_app, shell=True)\\n\",\n \"path\": \"libqtile/widget/volume.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/libqtile/widget/volume.py b/libqtile/widget/volume.py\nindex d709974567..dd322f7c4b 100644\n--- a/libqtile/widget/volume.py\n+++ b/libqtile/widget/volume.py\n@@ -46,6 +46,10 @@\n class Volume(base._TextBox):\n \"\"\"Widget that display and change volume\n \n+ By default, this widget uses ``amixer`` to get and set the volume so users\n+ will need to make sure this is installed. Alternatively, users may set the\n+ relevant parameters for the widget to use a different application.\n+\n If theme_path is set it draw widget as icons.\n \"\"\"\n orientations = base.ORIENTATION_HORIZONTAL\n"}}},{"rowIdx":6583,"cells":{"in_source_id":{"kind":"string","value":"obspy__obspy-2643"},"issue":{"kind":"string","value":"Travis not building\nI think it is a problem connected with changes introduced by me in #2619. In my project CI was building with that setup up to Friday, but crashed today. I fixed it with adding to pyproject.toml required by PEP517. I will do a PR to add this line here.\r\n\r\n\r\n\r\n\r\n\r\nQuoting @megies:\r\n\r\nNot sure whats wrong with Travis but looks like a clash between setuptools and numpy, so hopefully will go away eventually and we can just wait it out.\r\n\r\n```\r\n File \"/private/var/folders/nz/vv4_9tw56nv9k3tkvyszvwg80000gn/T/pip-build-env-dq61kdlp/overlay/lib/python3.7/site-packages/setuptools/build_meta.py\", line 142, in run_setup\r\n\r\n exec(compile(code, __file__, 'exec'), locals())\r\n\r\n File \"setup.py\", line 47, in <module>\r\n\r\n from numpy.distutils.core import DistutilsSetupError, setup\r\n\r\n ImportError: cannot import name 'DistutilsSetupError' from 'numpy.distutils.core' (/private/var/folders/nz/vv4_9tw56nv9k3tkvyszvwg80000gn/T/pip-build-env-dq61kdlp/overlay/lib/python3.7/site-packages/numpy/distutils/core.py)\r\n```\r\n\r\n_Originally posted by @megies in https://github.com/obspy/obspy/pull/2626#issuecomment-648019872_\n"},"before_files":{"kind":"list like","value":[{"content":"#! /usr/bin/env python\n# -*- coding: utf-8 -*-\n\"\"\"\nObsPy - a Python framework for seismological observatories.\n\nObsPy is an open-source project dedicated to provide a Python framework for\nprocessing seismological data. It provides parsers for common file formats,\nclients to access data centers and seismological signal processing routines\nwhich allow the manipulation of seismological time series (see Beyreuther et\nal. 2010, Megies et al. 2011).\n\nThe goal of the ObsPy project is to facilitate rapid application development\nfor seismology.\n\nFor more information visit https://www.obspy.org.\n\n:copyright:\n The ObsPy Development Team (devs@obspy.org)\n:license:\n GNU Lesser General Public License, Version 3\n (https://www.gnu.org/copyleft/lesser.html)\n\"\"\"\n# Importing setuptools monkeypatches some of distutils commands so things like\n# 'python setup.py develop' work. Wrap in try/except so it is not an actual\n# dependency. Inplace installation with pip works also without importing\n# setuptools.\ntry:\n import setuptools # @UnusedImport # NOQA\nexcept ImportError:\n pass\n\ntry:\n import numpy # @UnusedImport # NOQA\nexcept ImportError:\n msg = (\"No module named numpy. \"\n \"Please install numpy first, it is needed before installing ObsPy.\")\n raise ImportError(msg)\n\nimport fnmatch\nimport glob\nimport inspect\nimport os\nimport sys\nimport platform\nfrom distutils.util import change_root\n\nfrom numpy.distutils.core import DistutilsSetupError, setup\nfrom numpy.distutils.ccompiler import get_default_compiler\nfrom numpy.distutils.command.build import build\nfrom numpy.distutils.command.install import install\nfrom numpy.distutils.exec_command import exec_command, find_executable\nfrom numpy.distutils.misc_util import Configuration\n\n\n# The minimum python version which can be used to run ObsPy\nMIN_PYTHON_VERSION = (3, 6)\n\n# Fail fast if the user is on an unsupported version of python.\nif sys.version_info < MIN_PYTHON_VERSION:\n msg = (\"ObsPy requires python version >= {}\".format(MIN_PYTHON_VERSION) +\n \" you are using python version {}\".format(sys.version_info))\n print(msg, file=sys.stderr)\n sys.exit(1)\n\n# Directory of the current file in the (hopefully) most reliable way\n# possible, according to krischer\nSETUP_DIRECTORY = os.path.dirname(os.path.abspath(inspect.getfile(\n inspect.currentframe())))\n\n# Import the version string.\n# Any .py files that are used at install time must be registered in\n# obspy.core.tests.test_util_misc.UtilMiscTestCase.test_no_obspy_imports!\nUTIL_PATH = os.path.join(SETUP_DIRECTORY, \"obspy\", \"core\", \"util\")\nsys.path.insert(0, UTIL_PATH)\nfrom version import get_git_version # @UnresolvedImport\nfrom libnames import _get_lib_name # @UnresolvedImport\nsys.path.pop(0)\n\nLOCAL_PATH = os.path.join(SETUP_DIRECTORY, \"setup.py\")\nDOCSTRING = __doc__.split(\"\\n\")\n\n# check for MSVC\nif platform.system() == \"Windows\" and (\n 'msvc' in sys.argv or\n '-c' not in sys.argv and\n get_default_compiler() == 'msvc'):\n IS_MSVC = True\nelse:\n IS_MSVC = False\n\n# Use system libraries? Set later...\nEXTERNAL_EVALRESP = False\nEXTERNAL_LIBMSEED = False\n\n# package specific settings\nKEYWORDS = [\n 'ArcLink', 'array', 'array analysis', 'ASC', 'beachball',\n 'beamforming', 'cross correlation', 'database', 'dataless',\n 'Dataless SEED', 'DMX', 'earthquakes', 'Earthworm', 'EIDA',\n 'envelope', 'ESRI', 'events', 'FDSN', 'features', 'filter',\n 'focal mechanism', 'FOCMEC', 'GCF', 'GSE1', 'GSE2', 'hob', 'Tau-P',\n 'IASPEI', 'imaging', 'IMS', 'instrument correction',\n 'instrument simulation', 'IRIS', 'ISF', 'kinemetrics', 'KML', 'magnitude',\n 'MiniSEED', 'misfit', 'mopad', 'MSEED', 'NDK', 'NERA', 'NERIES',\n 'NonLinLoc', 'NLLOC', 'Nordic', 'NRL', 'observatory', 'ORFEUS', 'PDAS',\n 'picker', 'processing', 'PQLX', 'Q', 'real time', 'realtime', 'REFTEK',\n 'REFTEK130', 'RG-1.6', 'RT-130', 'RESP', 'response file', 'RT', 'SAC',\n 'scardec', 'sc3ml', 'SDS', 'SEED', 'SeedLink', 'SEG-2', 'SEG Y', 'SEISAN',\n 'SeisHub', 'Seismic Handler', 'seismology', 'seismogram', 'seismograms',\n 'shapefile', 'signal', 'slink', 'spectrogram', 'StationXML', 'taper',\n 'taup', 'travel time', 'trigger', 'VERCE', 'WAV', 'waveform', 'WaveServer',\n 'WaveServerV', 'WebDC', 'web service', 'WIN', 'Winston', 'XML-SEED',\n 'XSEED']\n\n# when bumping to numpy 1.9.0: replace bytes() in io.reftek with np.tobytes()\n# and in obspy/io/mseed/core.py change downcasting check to numpy.can_cast()\n# when bumping to numpy 1.7.0: get rid of if/else when loading npz file to PPSD\n# and get rid of helper function _np_copy_astype() in obspy/io/mseed/core.py\nINSTALL_REQUIRES = [\n 'numpy>=1.15.0',\n 'scipy>=1.0.0',\n 'matplotlib>=3.2.0',\n 'lxml',\n 'setuptools',\n 'sqlalchemy',\n 'decorator',\n 'requests']\nEXTRAS_REQUIRE = {\n 'tests': ['flake8>=2', 'pyimgur', 'pyproj', 'pep8-naming'],\n # arclink decryption also works with: pycrypto, m2crypto, pycryptodome\n 'arclink': ['cryptography'],\n 'io.shapefile': ['pyshp'],\n }\n\nENTRY_POINTS = {\n 'console_scripts': [\n 'obspy-flinn-engdahl = obspy.scripts.flinnengdahl:main',\n 'obspy-runtests = obspy.scripts.runtests:main',\n 'obspy-reftek-rescue = obspy.scripts.reftekrescue:main',\n 'obspy-print = obspy.scripts._print:main',\n 'obspy-sds-report = obspy.scripts.sds_html_report:main',\n 'obspy-indexer = obspy.db.scripts.indexer:main',\n 'obspy-scan = obspy.imaging.scripts.scan:main',\n 'obspy-plot = obspy.imaging.scripts.plot:main',\n 'obspy-mopad = obspy.imaging.scripts.mopad:main',\n 'obspy-mseed-recordanalyzer = '\n 'obspy.io.mseed.scripts.recordanalyzer:main',\n 'obspy-dataless2xseed = obspy.io.xseed.scripts.dataless2xseed:main',\n 'obspy-xseed2dataless = obspy.io.xseed.scripts.xseed2dataless:main',\n 'obspy-dataless2resp = obspy.io.xseed.scripts.dataless2resp:main',\n ],\n 'obspy.plugin.waveform': [\n 'TSPAIR = obspy.io.ascii.core',\n 'SLIST = obspy.io.ascii.core',\n 'PICKLE = obspy.core.stream',\n 'CSS = obspy.io.css.core',\n 'WIN = obspy.io.win.core',\n 'KINEMETRICS_EVT = obspy.io.kinemetrics.core',\n 'GSE1 = obspy.io.gse2.core',\n 'GSE2 = obspy.io.gse2.core',\n 'MSEED = obspy.io.mseed.core',\n 'NNSA_KB_CORE = obspy.io.css.core',\n 'PDAS = obspy.io.pdas.core',\n 'SAC = obspy.io.sac.core',\n 'SACXY = obspy.io.sac.core',\n 'Y = obspy.io.y.core',\n 'SEG2 = obspy.io.seg2.seg2',\n 'SEGY = obspy.io.segy.core',\n 'SU = obspy.io.segy.core',\n 'SEISAN = obspy.io.seisan.core',\n 'Q = obspy.io.sh.core',\n 'SH_ASC = obspy.io.sh.core',\n 'WAV = obspy.io.wav.core',\n 'AH = obspy.io.ah.core',\n 'KNET = obspy.io.nied.knet',\n 'GCF = obspy.io.gcf.core',\n 'REFTEK130 = obspy.io.reftek.core',\n 'RG16 = obspy.io.rg16.core',\n 'DMX = obspy.io.dmx.core',\n ],\n 'obspy.plugin.waveform.TSPAIR': [\n 'isFormat = obspy.io.ascii.core:_is_tspair',\n 'readFormat = obspy.io.ascii.core:_read_tspair',\n 'writeFormat = obspy.io.ascii.core:_write_tspair',\n ],\n 'obspy.plugin.waveform.SLIST': [\n 'isFormat = obspy.io.ascii.core:_is_slist',\n 'readFormat = obspy.io.ascii.core:_read_slist',\n 'writeFormat = obspy.io.ascii.core:_write_slist',\n ],\n 'obspy.plugin.waveform.PICKLE': [\n 'isFormat = obspy.core.stream:_is_pickle',\n 'readFormat = obspy.core.stream:_read_pickle',\n 'writeFormat = obspy.core.stream:_write_pickle',\n ],\n 'obspy.plugin.waveform.CSS': [\n 'isFormat = obspy.io.css.core:_is_css',\n 'readFormat = obspy.io.css.core:_read_css',\n ],\n 'obspy.plugin.waveform.NNSA_KB_CORE': [\n 'isFormat = obspy.io.css.core:_is_nnsa_kb_core',\n 'readFormat = obspy.io.css.core:_read_nnsa_kb_core',\n ],\n 'obspy.plugin.waveform.WIN': [\n 'isFormat = obspy.io.win.core:_is_win',\n 'readFormat = obspy.io.win.core:_read_win',\n ],\n 'obspy.plugin.waveform.KINEMETRICS_EVT': [\n 'isFormat = obspy.io.kinemetrics.core:is_evt',\n 'readFormat = obspy.io.kinemetrics.core:read_evt',\n ],\n 'obspy.plugin.waveform.GSE1': [\n 'isFormat = obspy.io.gse2.core:_is_gse1',\n 'readFormat = obspy.io.gse2.core:_read_gse1',\n ],\n 'obspy.plugin.waveform.GSE2': [\n 'isFormat = obspy.io.gse2.core:_is_gse2',\n 'readFormat = obspy.io.gse2.core:_read_gse2',\n 'writeFormat = obspy.io.gse2.core:_write_gse2',\n ],\n 'obspy.plugin.waveform.MSEED': [\n 'isFormat = obspy.io.mseed.core:_is_mseed',\n 'readFormat = obspy.io.mseed.core:_read_mseed',\n 'writeFormat = obspy.io.mseed.core:_write_mseed',\n ],\n 'obspy.plugin.waveform.PDAS': [\n 'isFormat = obspy.io.pdas.core:_is_pdas',\n 'readFormat = obspy.io.pdas.core:_read_pdas',\n ],\n 'obspy.plugin.waveform.SAC': [\n 'isFormat = obspy.io.sac.core:_is_sac',\n 'readFormat = obspy.io.sac.core:_read_sac',\n 'writeFormat = obspy.io.sac.core:_write_sac',\n ],\n 'obspy.plugin.waveform.SACXY': [\n 'isFormat = obspy.io.sac.core:_is_sac_xy',\n 'readFormat = obspy.io.sac.core:_read_sac_xy',\n 'writeFormat = obspy.io.sac.core:_write_sac_xy',\n ],\n 'obspy.plugin.waveform.SEG2': [\n 'isFormat = obspy.io.seg2.seg2:_is_seg2',\n 'readFormat = obspy.io.seg2.seg2:_read_seg2',\n ],\n 'obspy.plugin.waveform.SEGY': [\n 'isFormat = obspy.io.segy.core:_is_segy',\n 'readFormat = obspy.io.segy.core:_read_segy',\n 'writeFormat = obspy.io.segy.core:_write_segy',\n ],\n 'obspy.plugin.waveform.SU': [\n 'isFormat = obspy.io.segy.core:_is_su',\n 'readFormat = obspy.io.segy.core:_read_su',\n 'writeFormat = obspy.io.segy.core:_write_su',\n ],\n 'obspy.plugin.waveform.SEISAN': [\n 'isFormat = obspy.io.seisan.core:_is_seisan',\n 'readFormat = obspy.io.seisan.core:_read_seisan',\n ],\n 'obspy.plugin.waveform.Q': [\n 'isFormat = obspy.io.sh.core:_is_q',\n 'readFormat = obspy.io.sh.core:_read_q',\n 'writeFormat = obspy.io.sh.core:_write_q',\n ],\n 'obspy.plugin.waveform.SH_ASC': [\n 'isFormat = obspy.io.sh.core:_is_asc',\n 'readFormat = obspy.io.sh.core:_read_asc',\n 'writeFormat = obspy.io.sh.core:_write_asc',\n ],\n 'obspy.plugin.waveform.WAV': [\n 'isFormat = obspy.io.wav.core:_is_wav',\n 'readFormat = obspy.io.wav.core:_read_wav',\n 'writeFormat = obspy.io.wav.core:_write_wav',\n ],\n 'obspy.plugin.waveform.Y': [\n 'isFormat = obspy.io.y.core:_is_y',\n 'readFormat = obspy.io.y.core:_read_y',\n ],\n 'obspy.plugin.waveform.AH': [\n 'isFormat = obspy.io.ah.core:_is_ah',\n 'readFormat = obspy.io.ah.core:_read_ah',\n 'writeFormat = obspy.io.ah.core:_write_ah1'\n ],\n 'obspy.plugin.waveform.KNET': [\n 'isFormat = obspy.io.nied.knet:_is_knet_ascii',\n 'readFormat = obspy.io.nied.knet:_read_knet_ascii',\n ],\n 'obspy.plugin.waveform.GCF': [\n 'isFormat = obspy.io.gcf.core:_is_gcf',\n 'readFormat = obspy.io.gcf.core:_read_gcf',\n ],\n 'obspy.plugin.waveform.REFTEK130': [\n 'isFormat = obspy.io.reftek.core:_is_reftek130',\n 'readFormat = obspy.io.reftek.core:_read_reftek130',\n ],\n 'obspy.plugin.waveform.RG16': [\n 'isFormat = obspy.io.rg16.core:_is_rg16',\n 'readFormat = obspy.io.rg16.core:_read_rg16',\n ],\n 'obspy.plugin.waveform.DMX': [\n 'isFormat = obspy.io.dmx.core:_is_dmx',\n 'readFormat = obspy.io.dmx.core:_read_dmx',\n ],\n 'obspy.plugin.event': [\n 'QUAKEML = obspy.io.quakeml.core',\n 'SC3ML = obspy.io.seiscomp.event',\n 'ZMAP = obspy.io.zmap.core',\n 'MCHEDR = obspy.io.pde.mchedr',\n 'JSON = obspy.io.json.core',\n 'NDK = obspy.io.ndk.core',\n 'NLLOC_HYP = obspy.io.nlloc.core',\n 'NLLOC_OBS = obspy.io.nlloc.core',\n 'NORDIC = obspy.io.nordic.core',\n 'CNV = obspy.io.cnv.core',\n 'CMTSOLUTION = obspy.io.cmtsolution.core',\n 'SCARDEC = obspy.io.scardec.core',\n 'SHAPEFILE = obspy.io.shapefile.core',\n 'KML = obspy.io.kml.core',\n 'FNETMT = obspy.io.nied.fnetmt',\n 'GSE2 = obspy.io.gse2.bulletin',\n 'IMS10BULLETIN = obspy.io.iaspei.core',\n 'EVT = obspy.io.sh.evt',\n 'FOCMEC = obspy.io.focmec.core',\n 'HYPODDPHA = obspy.io.hypodd.pha'\n ],\n 'obspy.plugin.event.QUAKEML': [\n 'isFormat = obspy.io.quakeml.core:_is_quakeml',\n 'readFormat = obspy.io.quakeml.core:_read_quakeml',\n 'writeFormat = obspy.io.quakeml.core:_write_quakeml',\n ],\n 'obspy.plugin.event.SC3ML': [\n 'isFormat = obspy.io.seiscomp.core:_is_sc3ml',\n 'readFormat = obspy.io.seiscomp.event:_read_sc3ml',\n 'writeFormat = obspy.io.seiscomp.event:_write_sc3ml',\n ],\n 'obspy.plugin.event.MCHEDR': [\n 'isFormat = obspy.io.pde.mchedr:_is_mchedr',\n 'readFormat = obspy.io.pde.mchedr:_read_mchedr',\n ],\n 'obspy.plugin.event.JSON': [\n 'writeFormat = obspy.io.json.core:_write_json',\n ],\n 'obspy.plugin.event.ZMAP': [\n 'isFormat = obspy.io.zmap.core:_is_zmap',\n 'readFormat = obspy.io.zmap.core:_read_zmap',\n 'writeFormat = obspy.io.zmap.core:_write_zmap',\n ],\n 'obspy.plugin.event.CNV': [\n 'writeFormat = obspy.io.cnv.core:_write_cnv',\n ],\n 'obspy.plugin.event.NDK': [\n 'isFormat = obspy.io.ndk.core:_is_ndk',\n 'readFormat = obspy.io.ndk.core:_read_ndk',\n ],\n 'obspy.plugin.event.NLLOC_HYP': [\n 'isFormat = obspy.io.nlloc.core:is_nlloc_hyp',\n 'readFormat = obspy.io.nlloc.core:read_nlloc_hyp',\n ],\n 'obspy.plugin.event.NLLOC_OBS': [\n 'writeFormat = obspy.io.nlloc.core:write_nlloc_obs',\n ],\n 'obspy.plugin.event.NORDIC': [\n 'writeFormat = obspy.io.nordic.core:write_select',\n 'readFormat = obspy.io.nordic.core:read_nordic',\n 'isFormat = obspy.io.nordic.core:_is_sfile'\n ],\n 'obspy.plugin.event.CMTSOLUTION': [\n 'isFormat = obspy.io.cmtsolution.core:_is_cmtsolution',\n 'readFormat = obspy.io.cmtsolution.core:_read_cmtsolution',\n 'writeFormat = obspy.io.cmtsolution.core:_write_cmtsolution'\n ],\n 'obspy.plugin.event.SCARDEC': [\n 'isFormat = obspy.io.scardec.core:_is_scardec',\n 'readFormat = obspy.io.scardec.core:_read_scardec',\n 'writeFormat = obspy.io.scardec.core:_write_scardec'\n ],\n 'obspy.plugin.event.FNETMT': [\n 'isFormat = obspy.io.nied.fnetmt:_is_fnetmt_catalog',\n 'readFormat = obspy.io.nied.fnetmt:_read_fnetmt_catalog',\n ],\n 'obspy.plugin.event.GSE2': [\n 'isFormat = obspy.io.gse2.bulletin:_is_gse2',\n 'readFormat = obspy.io.gse2.bulletin:_read_gse2',\n ],\n 'obspy.plugin.event.SHAPEFILE': [\n 'writeFormat = obspy.io.shapefile.core:_write_shapefile',\n ],\n 'obspy.plugin.event.KML': [\n 'writeFormat = obspy.io.kml.core:_write_kml',\n ],\n 'obspy.plugin.event.IMS10BULLETIN': [\n 'isFormat = obspy.io.iaspei.core:_is_ims10_bulletin',\n 'readFormat = obspy.io.iaspei.core:_read_ims10_bulletin',\n ],\n 'obspy.plugin.event.EVT': [\n 'isFormat = obspy.io.sh.evt:_is_evt',\n 'readFormat = obspy.io.sh.evt:_read_evt',\n ],\n 'obspy.plugin.event.FOCMEC': [\n 'isFormat = obspy.io.focmec.core:_is_focmec',\n 'readFormat = obspy.io.focmec.core:_read_focmec',\n ],\n 'obspy.plugin.event.HYPODDPHA': [\n 'isFormat = obspy.io.hypodd.pha:_is_pha',\n 'readFormat = obspy.io.hypodd.pha:_read_pha',\n ],\n 'obspy.plugin.inventory': [\n 'STATIONXML = obspy.io.stationxml.core',\n 'INVENTORYXML = obspy.io.arclink.inventory',\n 'SC3ML = obspy.io.seiscomp.inventory',\n 'SACPZ = obspy.io.sac.sacpz',\n 'CSS = obspy.io.css.station',\n 'SHAPEFILE = obspy.io.shapefile.core',\n 'STATIONTXT = obspy.io.stationtxt.core',\n 'KML = obspy.io.kml.core',\n 'SEED = obspy.io.xseed.core',\n 'XSEED = obspy.io.xseed.core',\n 'RESP = obspy.io.xseed.core',\n ],\n 'obspy.plugin.inventory.STATIONXML': [\n 'isFormat = obspy.io.stationxml.core:_is_stationxml',\n 'readFormat = obspy.io.stationxml.core:_read_stationxml',\n 'writeFormat = obspy.io.stationxml.core:_write_stationxml',\n ],\n 'obspy.plugin.inventory.INVENTORYXML': [\n 'isFormat = obspy.io.arclink.inventory:_is_inventory_xml',\n 'readFormat = obspy.io.arclink.inventory:_read_inventory_xml',\n ],\n 'obspy.plugin.inventory.SC3ML': [\n 'isFormat = obspy.io.seiscomp.core:_is_sc3ml',\n 'readFormat = obspy.io.seiscomp.inventory:_read_sc3ml',\n ],\n 'obspy.plugin.inventory.SACPZ': [\n 'writeFormat = obspy.io.sac.sacpz:_write_sacpz',\n ],\n 'obspy.plugin.inventory.CSS': [\n 'writeFormat = obspy.io.css.station:_write_css',\n ],\n 'obspy.plugin.inventory.SHAPEFILE': [\n 'writeFormat = obspy.io.shapefile.core:_write_shapefile',\n ],\n 'obspy.plugin.inventory.STATIONTXT': [\n 'isFormat = obspy.io.stationtxt.core:is_fdsn_station_text_file',\n 'readFormat = '\n 'obspy.io.stationtxt.core:read_fdsn_station_text_file',\n 'writeFormat = obspy.io.stationtxt.core:_write_stationtxt',\n ],\n 'obspy.plugin.inventory.KML': [\n 'writeFormat = obspy.io.kml.core:_write_kml',\n ],\n 'obspy.plugin.inventory.SEED': [\n 'isFormat = obspy.io.xseed.core:_is_seed',\n 'readFormat = obspy.io.xseed.core:_read_seed',\n ],\n 'obspy.plugin.inventory.XSEED': [\n 'isFormat = obspy.io.xseed.core:_is_xseed',\n 'readFormat = obspy.io.xseed.core:_read_xseed',\n ],\n 'obspy.plugin.inventory.RESP': [\n 'isFormat = obspy.io.xseed.core:_is_resp',\n 'readFormat = obspy.io.xseed.core:_read_resp',\n ],\n 'obspy.plugin.detrend': [\n 'linear = scipy.signal:detrend',\n 'constant = scipy.signal:detrend',\n 'demean = scipy.signal:detrend',\n 'simple = obspy.signal.detrend:simple',\n 'polynomial = obspy.signal.detrend:polynomial',\n 'spline = obspy.signal.detrend:spline'\n ],\n 'obspy.plugin.differentiate': [\n 'gradient = numpy:gradient',\n ],\n 'obspy.plugin.integrate': [\n 'cumtrapz = '\n 'obspy.signal.differentiate_and_integrate:integrate_cumtrapz',\n 'spline = '\n 'obspy.signal.differentiate_and_integrate:integrate_spline',\n ],\n 'obspy.plugin.filter': [\n 'bandpass = obspy.signal.filter:bandpass',\n 'bandstop = obspy.signal.filter:bandstop',\n 'lowpass = obspy.signal.filter:lowpass',\n 'highpass = obspy.signal.filter:highpass',\n 'lowpass_cheby_2 = obspy.signal.filter:lowpass_cheby_2',\n 'lowpass_fir = obspy.signal.filter:lowpass_FIR',\n 'remez_fir = obspy.signal.filter:remez_FIR',\n ],\n 'obspy.plugin.interpolate': [\n 'interpolate_1d = obspy.signal.interpolation:interpolate_1d',\n 'weighted_average_slopes = '\n 'obspy.signal.interpolation:weighted_average_slopes',\n 'lanczos = obspy.signal.interpolation:lanczos_interpolation'\n ],\n 'obspy.plugin.rotate': [\n 'rotate_ne_rt = obspy.signal.rotate:rotate_ne_rt',\n 'rotate_rt_ne = obspy.signal.rotate:rotate_rt_ne',\n 'rotate_zne_lqt = obspy.signal.rotate:rotate_zne_lqt',\n 'rotate_lqt_zne = obspy.signal.rotate:rotate_lqt_zne'\n ],\n 'obspy.plugin.taper': [\n 'cosine = obspy.signal.invsim:cosine_taper',\n 'barthann = scipy.signal:barthann',\n 'bartlett = scipy.signal:bartlett',\n 'blackman = scipy.signal:blackman',\n 'blackmanharris = scipy.signal:blackmanharris',\n 'bohman = scipy.signal:bohman',\n 'boxcar = scipy.signal:boxcar',\n 'chebwin = scipy.signal:chebwin',\n 'flattop = scipy.signal:flattop',\n 'gaussian = scipy.signal:gaussian',\n 'general_gaussian = scipy.signal:general_gaussian',\n 'hamming = scipy.signal:hamming',\n 'hann = scipy.signal:hann',\n 'kaiser = scipy.signal:kaiser',\n 'nuttall = scipy.signal:nuttall',\n 'parzen = scipy.signal:parzen',\n 'slepian = scipy.signal:slepian',\n 'triang = scipy.signal:triang',\n ],\n 'obspy.plugin.trigger': [\n 'recstalta = obspy.signal.trigger:recursive_sta_lta',\n 'carlstatrig = obspy.signal.trigger:carl_sta_trig',\n 'classicstalta = obspy.signal.trigger:classic_sta_lta',\n 'delayedstalta = obspy.signal.trigger:delayed_sta_lta',\n 'zdetect = obspy.signal.trigger:z_detect',\n 'recstaltapy = obspy.signal.trigger:recursive_sta_lta_py',\n 'classicstaltapy = obspy.signal.trigger:classic_sta_lta_py',\n ],\n 'obspy.db.feature': [\n 'minmax_amplitude = obspy.db.feature:MinMaxAmplitudeFeature',\n 'bandpass_preview = obspy.db.feature:BandpassPreviewFeature',\n ],\n }\n\n\ndef find_packages():\n \"\"\"\n Simple function to find all modules under the current folder.\n \"\"\"\n modules = []\n for dirpath, _, filenames in os.walk(os.path.join(SETUP_DIRECTORY,\n \"obspy\")):\n if \"__init__.py\" in filenames:\n modules.append(os.path.relpath(dirpath, SETUP_DIRECTORY))\n return [_i.replace(os.sep, \".\") for _i in modules]\n\n\n# monkey patches for MS Visual Studio\nif IS_MSVC:\n # remove 'init' entry in exported symbols\n def _get_export_symbols(self, ext):\n return ext.export_symbols\n from distutils.command.build_ext import build_ext\n build_ext.get_export_symbols = _get_export_symbols\n\n\n# helper function for collecting export symbols from .def files\ndef export_symbols(*path):\n lines = open(os.path.join(*path), 'r').readlines()[2:]\n return [s.strip() for s in lines if s.strip() != '']\n\n\n# adds --with-system-libs command-line option if possible\ndef add_features():\n if 'setuptools' not in sys.modules or not hasattr(setuptools, 'Feature'):\n return {}\n\n class ExternalLibFeature(setuptools.Feature):\n def __init__(self, *args, **kwargs):\n self.name = kwargs['name']\n setuptools.Feature.__init__(self, *args, **kwargs)\n\n def include_in(self, dist):\n globals()[self.name] = True\n\n def exclude_from(self, dist):\n globals()[self.name] = False\n\n return {\n 'system-libs': setuptools.Feature(\n 'use of system C libraries',\n standard=False,\n require_features=('system-evalresp', 'system-libmseed')\n ),\n 'system-evalresp': ExternalLibFeature(\n 'use of system evalresp library',\n standard=False,\n name='EXTERNAL_EVALRESP'\n ),\n 'system-libmseed': ExternalLibFeature(\n 'use of system libmseed library',\n standard=False,\n name='EXTERNAL_LIBMSEED'\n )\n }\n\n\ndef configuration(parent_package=\"\", top_path=None):\n \"\"\"\n Config function mainly used to compile C code.\n \"\"\"\n config = Configuration(\"\", parent_package, top_path)\n\n # GSE2\n path = os.path.join(\"obspy\", \"io\", \"gse2\", \"src\", \"GSE_UTI\")\n files = [os.path.join(path, \"gse_functions.c\")]\n # compiler specific options\n kwargs = {}\n if IS_MSVC:\n # get export symbols\n kwargs['export_symbols'] = export_symbols(path, 'gse_functions.def')\n config.add_extension(_get_lib_name(\"gse2\", add_extension_suffix=False),\n files, **kwargs)\n\n # LIBMSEED\n path = os.path.join(\"obspy\", \"io\", \"mseed\", \"src\")\n files = [os.path.join(path, \"obspy-readbuffer.c\")]\n if not EXTERNAL_LIBMSEED:\n files += glob.glob(os.path.join(path, \"libmseed\", \"*.c\"))\n # compiler specific options\n kwargs = {}\n if IS_MSVC:\n # needed by libmseed lmplatform.h\n kwargs['define_macros'] = [('WIN32', '1')]\n # get export symbols\n kwargs['export_symbols'] = \\\n export_symbols(path, 'libmseed', 'libmseed.def')\n kwargs['export_symbols'] += \\\n export_symbols(path, 'obspy-readbuffer.def')\n if EXTERNAL_LIBMSEED:\n kwargs['libraries'] = ['mseed']\n config.add_extension(_get_lib_name(\"mseed\", add_extension_suffix=False),\n files, **kwargs)\n\n # SEGY\n path = os.path.join(\"obspy\", \"io\", \"segy\", \"src\")\n files = [os.path.join(path, \"ibm2ieee.c\")]\n # compiler specific options\n kwargs = {}\n if IS_MSVC:\n # get export symbols\n kwargs['export_symbols'] = export_symbols(path, 'libsegy.def')\n config.add_extension(_get_lib_name(\"segy\", add_extension_suffix=False),\n files, **kwargs)\n\n # SIGNAL\n path = os.path.join(\"obspy\", \"signal\", \"src\")\n files = glob.glob(os.path.join(path, \"*.c\"))\n # compiler specific options\n kwargs = {}\n if IS_MSVC:\n # get export symbols\n kwargs['export_symbols'] = export_symbols(path, 'libsignal.def')\n config.add_extension(_get_lib_name(\"signal\", add_extension_suffix=False),\n files, **kwargs)\n\n # EVALRESP\n path = os.path.join(\"obspy\", \"signal\", \"src\")\n if EXTERNAL_EVALRESP:\n files = glob.glob(os.path.join(path, \"evalresp\", \"_obspy*.c\"))\n else:\n files = glob.glob(os.path.join(path, \"evalresp\", \"*.c\"))\n # compiler specific options\n kwargs = {}\n if IS_MSVC:\n # needed by evalresp evresp.h\n kwargs['define_macros'] = [('WIN32', '1')]\n # get export symbols\n kwargs['export_symbols'] = export_symbols(path, 'libevresp.def')\n if EXTERNAL_EVALRESP:\n kwargs['libraries'] = ['evresp']\n config.add_extension(_get_lib_name(\"evresp\", add_extension_suffix=False),\n files, **kwargs)\n\n # TAU\n path = os.path.join(\"obspy\", \"taup\", \"src\")\n files = [os.path.join(path, \"inner_tau_loops.c\")]\n # compiler specific options\n kwargs = {}\n if IS_MSVC:\n # get export symbols\n kwargs['export_symbols'] = export_symbols(path, 'libtau.def')\n config.add_extension(_get_lib_name(\"tau\", add_extension_suffix=False),\n files, **kwargs)\n\n add_data_files(config)\n\n return config\n\n\ndef add_data_files(config):\n \"\"\"\n Recursively include all non python files\n \"\"\"\n # python files are included per default, we only include data files\n # here\n EXCLUDE_WILDCARDS = ['*.py', '*.pyc', '*.pyo', '*.pdf', '.git*']\n EXCLUDE_DIRS = ['src', '__pycache__']\n common_prefix = SETUP_DIRECTORY + os.path.sep\n for root, dirs, files in os.walk(os.path.join(SETUP_DIRECTORY, 'obspy')):\n root = root.replace(common_prefix, '')\n for name in files:\n if any(fnmatch.fnmatch(name, w) for w in EXCLUDE_WILDCARDS):\n continue\n config.add_data_files(os.path.join(root, name))\n for folder in EXCLUDE_DIRS:\n if folder in dirs:\n dirs.remove(folder)\n\n # Force include the contents of some directories.\n FORCE_INCLUDE_DIRS = [\n os.path.join(SETUP_DIRECTORY, 'obspy', 'io', 'mseed', 'src',\n 'libmseed', 'test')]\n\n for folder in FORCE_INCLUDE_DIRS:\n for root, _, files in os.walk(folder):\n for filename in files:\n config.add_data_files(\n os.path.relpath(os.path.join(root, filename),\n SETUP_DIRECTORY))\n\n\n# Auto-generate man pages from --help output\nclass Help2ManBuild(build):\n description = \"Run help2man on scripts to produce man pages\"\n\n def finalize_options(self):\n build.finalize_options(self)\n self.help2man = find_executable('help2man')\n if not self.help2man:\n raise DistutilsSetupError('Building man pages requires help2man.')\n\n def run(self):\n mandir = os.path.join(self.build_base, 'man')\n self.mkpath(mandir)\n\n from pkg_resources import EntryPoint\n for entrypoint in ENTRY_POINTS['console_scripts']:\n ep = EntryPoint.parse(entrypoint)\n if not ep.module_name.startswith('obspy'):\n continue\n\n output = os.path.join(mandir, ep.name + '.1')\n print('Generating %s ...' % (output))\n exec_command([self.help2man,\n '--no-info', '--no-discard-stderr',\n '--output', output,\n '\"%s -m %s\"' % (sys.executable,\n ep.module_name)])\n\n\nclass Help2ManInstall(install):\n description = 'Install man pages generated by help2man'\n user_options = install.user_options + [\n ('manprefix=', None, 'MAN Prefix Path')\n ]\n\n def initialize_options(self):\n self.manprefix = None\n install.initialize_options(self)\n\n def finalize_options(self):\n if self.manprefix is None:\n self.manprefix = os.path.join('share', 'man')\n install.finalize_options(self)\n\n def run(self):\n if not self.skip_build:\n self.run_command('build_man')\n\n srcdir = os.path.join(self.build_base, 'man')\n mandir = os.path.join(self.install_base, self.manprefix, 'man1')\n if self.root is not None:\n mandir = change_root(self.root, mandir)\n self.mkpath(mandir)\n self.copy_tree(srcdir, mandir)\n\n\ndef setupPackage():\n # setup package\n setup(\n name='obspy',\n version=get_git_version(),\n description=DOCSTRING[1],\n long_description=\"\\n\".join(DOCSTRING[3:]),\n url=\"https://www.obspy.org\",\n author='The ObsPy Development Team',\n author_email='devs@obspy.org',\n license='GNU Lesser General Public License, Version 3 (LGPLv3)',\n platforms='OS Independent',\n classifiers=[\n 'Development Status :: 5 - Production/Stable',\n 'Environment :: Console',\n 'Intended Audience :: Science/Research',\n 'Intended Audience :: Developers',\n 'License :: OSI Approved :: GNU Library or ' +\n 'Lesser General Public License (LGPL)',\n 'Operating System :: OS Independent',\n 'Programming Language :: Python',\n 'Programming Language :: Python :: 3',\n 'Programming Language :: Python :: 3.7',\n 'Programming Language :: Python :: 3.8',\n 'Topic :: Scientific/Engineering',\n 'Topic :: Scientific/Engineering :: Physics'],\n keywords=KEYWORDS,\n packages=find_packages(),\n namespace_packages=[],\n zip_safe=False,\n python_requires=f'>={MIN_PYTHON_VERSION[0]}.{MIN_PYTHON_VERSION[1]}',\n install_requires=INSTALL_REQUIRES,\n extras_require=EXTRAS_REQUIRE,\n features=add_features(),\n # this is needed for \"easy_install obspy==dev\"\n download_url=(\"https://github.com/obspy/obspy/zipball/master\"\n \"#egg=obspy=dev\"),\n include_package_data=True,\n entry_points=ENTRY_POINTS,\n ext_package='obspy.lib',\n cmdclass={\n 'build_man': Help2ManBuild,\n 'install_man': Help2ManInstall\n },\n configuration=configuration)\n\n\nif __name__ == '__main__':\n # clean --all does not remove extensions automatically\n if 'clean' in sys.argv and '--all' in sys.argv:\n import shutil\n # delete complete build directory\n path = os.path.join(SETUP_DIRECTORY, 'build')\n try:\n shutil.rmtree(path)\n except Exception:\n pass\n # delete all shared libs from lib directory\n path = os.path.join(SETUP_DIRECTORY, 'obspy', 'lib')\n for filename in glob.glob(path + os.sep + '*.pyd'):\n try:\n os.remove(filename)\n except Exception:\n pass\n for filename in glob.glob(path + os.sep + '*.so'):\n try:\n os.remove(filename)\n except Exception:\n pass\n path = os.path.join(SETUP_DIRECTORY, 'obspy', 'taup', 'data', 'models')\n try:\n shutil.rmtree(path)\n except Exception:\n pass\n else:\n setupPackage()\n","path":"setup.py"}],"string":"[\n {\n \"content\": \"#! /usr/bin/env python\\n# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nObsPy - a Python framework for seismological observatories.\\n\\nObsPy is an open-source project dedicated to provide a Python framework for\\nprocessing seismological data. It provides parsers for common file formats,\\nclients to access data centers and seismological signal processing routines\\nwhich allow the manipulation of seismological time series (see Beyreuther et\\nal. 2010, Megies et al. 2011).\\n\\nThe goal of the ObsPy project is to facilitate rapid application development\\nfor seismology.\\n\\nFor more information visit https://www.obspy.org.\\n\\n:copyright:\\n The ObsPy Development Team (devs@obspy.org)\\n:license:\\n GNU Lesser General Public License, Version 3\\n (https://www.gnu.org/copyleft/lesser.html)\\n\\\"\\\"\\\"\\n# Importing setuptools monkeypatches some of distutils commands so things like\\n# 'python setup.py develop' work. Wrap in try/except so it is not an actual\\n# dependency. Inplace installation with pip works also without importing\\n# setuptools.\\ntry:\\n import setuptools # @UnusedImport # NOQA\\nexcept ImportError:\\n pass\\n\\ntry:\\n import numpy # @UnusedImport # NOQA\\nexcept ImportError:\\n msg = (\\\"No module named numpy. \\\"\\n \\\"Please install numpy first, it is needed before installing ObsPy.\\\")\\n raise ImportError(msg)\\n\\nimport fnmatch\\nimport glob\\nimport inspect\\nimport os\\nimport sys\\nimport platform\\nfrom distutils.util import change_root\\n\\nfrom numpy.distutils.core import DistutilsSetupError, setup\\nfrom numpy.distutils.ccompiler import get_default_compiler\\nfrom numpy.distutils.command.build import build\\nfrom numpy.distutils.command.install import install\\nfrom numpy.distutils.exec_command import exec_command, find_executable\\nfrom numpy.distutils.misc_util import Configuration\\n\\n\\n# The minimum python version which can be used to run ObsPy\\nMIN_PYTHON_VERSION = (3, 6)\\n\\n# Fail fast if the user is on an unsupported version of python.\\nif sys.version_info < MIN_PYTHON_VERSION:\\n msg = (\\\"ObsPy requires python version >= {}\\\".format(MIN_PYTHON_VERSION) +\\n \\\" you are using python version {}\\\".format(sys.version_info))\\n print(msg, file=sys.stderr)\\n sys.exit(1)\\n\\n# Directory of the current file in the (hopefully) most reliable way\\n# possible, according to krischer\\nSETUP_DIRECTORY = os.path.dirname(os.path.abspath(inspect.getfile(\\n inspect.currentframe())))\\n\\n# Import the version string.\\n# Any .py files that are used at install time must be registered in\\n# obspy.core.tests.test_util_misc.UtilMiscTestCase.test_no_obspy_imports!\\nUTIL_PATH = os.path.join(SETUP_DIRECTORY, \\\"obspy\\\", \\\"core\\\", \\\"util\\\")\\nsys.path.insert(0, UTIL_PATH)\\nfrom version import get_git_version # @UnresolvedImport\\nfrom libnames import _get_lib_name # @UnresolvedImport\\nsys.path.pop(0)\\n\\nLOCAL_PATH = os.path.join(SETUP_DIRECTORY, \\\"setup.py\\\")\\nDOCSTRING = __doc__.split(\\\"\\\\n\\\")\\n\\n# check for MSVC\\nif platform.system() == \\\"Windows\\\" and (\\n 'msvc' in sys.argv or\\n '-c' not in sys.argv and\\n get_default_compiler() == 'msvc'):\\n IS_MSVC = True\\nelse:\\n IS_MSVC = False\\n\\n# Use system libraries? Set later...\\nEXTERNAL_EVALRESP = False\\nEXTERNAL_LIBMSEED = False\\n\\n# package specific settings\\nKEYWORDS = [\\n 'ArcLink', 'array', 'array analysis', 'ASC', 'beachball',\\n 'beamforming', 'cross correlation', 'database', 'dataless',\\n 'Dataless SEED', 'DMX', 'earthquakes', 'Earthworm', 'EIDA',\\n 'envelope', 'ESRI', 'events', 'FDSN', 'features', 'filter',\\n 'focal mechanism', 'FOCMEC', 'GCF', 'GSE1', 'GSE2', 'hob', 'Tau-P',\\n 'IASPEI', 'imaging', 'IMS', 'instrument correction',\\n 'instrument simulation', 'IRIS', 'ISF', 'kinemetrics', 'KML', 'magnitude',\\n 'MiniSEED', 'misfit', 'mopad', 'MSEED', 'NDK', 'NERA', 'NERIES',\\n 'NonLinLoc', 'NLLOC', 'Nordic', 'NRL', 'observatory', 'ORFEUS', 'PDAS',\\n 'picker', 'processing', 'PQLX', 'Q', 'real time', 'realtime', 'REFTEK',\\n 'REFTEK130', 'RG-1.6', 'RT-130', 'RESP', 'response file', 'RT', 'SAC',\\n 'scardec', 'sc3ml', 'SDS', 'SEED', 'SeedLink', 'SEG-2', 'SEG Y', 'SEISAN',\\n 'SeisHub', 'Seismic Handler', 'seismology', 'seismogram', 'seismograms',\\n 'shapefile', 'signal', 'slink', 'spectrogram', 'StationXML', 'taper',\\n 'taup', 'travel time', 'trigger', 'VERCE', 'WAV', 'waveform', 'WaveServer',\\n 'WaveServerV', 'WebDC', 'web service', 'WIN', 'Winston', 'XML-SEED',\\n 'XSEED']\\n\\n# when bumping to numpy 1.9.0: replace bytes() in io.reftek with np.tobytes()\\n# and in obspy/io/mseed/core.py change downcasting check to numpy.can_cast()\\n# when bumping to numpy 1.7.0: get rid of if/else when loading npz file to PPSD\\n# and get rid of helper function _np_copy_astype() in obspy/io/mseed/core.py\\nINSTALL_REQUIRES = [\\n 'numpy>=1.15.0',\\n 'scipy>=1.0.0',\\n 'matplotlib>=3.2.0',\\n 'lxml',\\n 'setuptools',\\n 'sqlalchemy',\\n 'decorator',\\n 'requests']\\nEXTRAS_REQUIRE = {\\n 'tests': ['flake8>=2', 'pyimgur', 'pyproj', 'pep8-naming'],\\n # arclink decryption also works with: pycrypto, m2crypto, pycryptodome\\n 'arclink': ['cryptography'],\\n 'io.shapefile': ['pyshp'],\\n }\\n\\nENTRY_POINTS = {\\n 'console_scripts': [\\n 'obspy-flinn-engdahl = obspy.scripts.flinnengdahl:main',\\n 'obspy-runtests = obspy.scripts.runtests:main',\\n 'obspy-reftek-rescue = obspy.scripts.reftekrescue:main',\\n 'obspy-print = obspy.scripts._print:main',\\n 'obspy-sds-report = obspy.scripts.sds_html_report:main',\\n 'obspy-indexer = obspy.db.scripts.indexer:main',\\n 'obspy-scan = obspy.imaging.scripts.scan:main',\\n 'obspy-plot = obspy.imaging.scripts.plot:main',\\n 'obspy-mopad = obspy.imaging.scripts.mopad:main',\\n 'obspy-mseed-recordanalyzer = '\\n 'obspy.io.mseed.scripts.recordanalyzer:main',\\n 'obspy-dataless2xseed = obspy.io.xseed.scripts.dataless2xseed:main',\\n 'obspy-xseed2dataless = obspy.io.xseed.scripts.xseed2dataless:main',\\n 'obspy-dataless2resp = obspy.io.xseed.scripts.dataless2resp:main',\\n ],\\n 'obspy.plugin.waveform': [\\n 'TSPAIR = obspy.io.ascii.core',\\n 'SLIST = obspy.io.ascii.core',\\n 'PICKLE = obspy.core.stream',\\n 'CSS = obspy.io.css.core',\\n 'WIN = obspy.io.win.core',\\n 'KINEMETRICS_EVT = obspy.io.kinemetrics.core',\\n 'GSE1 = obspy.io.gse2.core',\\n 'GSE2 = obspy.io.gse2.core',\\n 'MSEED = obspy.io.mseed.core',\\n 'NNSA_KB_CORE = obspy.io.css.core',\\n 'PDAS = obspy.io.pdas.core',\\n 'SAC = obspy.io.sac.core',\\n 'SACXY = obspy.io.sac.core',\\n 'Y = obspy.io.y.core',\\n 'SEG2 = obspy.io.seg2.seg2',\\n 'SEGY = obspy.io.segy.core',\\n 'SU = obspy.io.segy.core',\\n 'SEISAN = obspy.io.seisan.core',\\n 'Q = obspy.io.sh.core',\\n 'SH_ASC = obspy.io.sh.core',\\n 'WAV = obspy.io.wav.core',\\n 'AH = obspy.io.ah.core',\\n 'KNET = obspy.io.nied.knet',\\n 'GCF = obspy.io.gcf.core',\\n 'REFTEK130 = obspy.io.reftek.core',\\n 'RG16 = obspy.io.rg16.core',\\n 'DMX = obspy.io.dmx.core',\\n ],\\n 'obspy.plugin.waveform.TSPAIR': [\\n 'isFormat = obspy.io.ascii.core:_is_tspair',\\n 'readFormat = obspy.io.ascii.core:_read_tspair',\\n 'writeFormat = obspy.io.ascii.core:_write_tspair',\\n ],\\n 'obspy.plugin.waveform.SLIST': [\\n 'isFormat = obspy.io.ascii.core:_is_slist',\\n 'readFormat = obspy.io.ascii.core:_read_slist',\\n 'writeFormat = obspy.io.ascii.core:_write_slist',\\n ],\\n 'obspy.plugin.waveform.PICKLE': [\\n 'isFormat = obspy.core.stream:_is_pickle',\\n 'readFormat = obspy.core.stream:_read_pickle',\\n 'writeFormat = obspy.core.stream:_write_pickle',\\n ],\\n 'obspy.plugin.waveform.CSS': [\\n 'isFormat = obspy.io.css.core:_is_css',\\n 'readFormat = obspy.io.css.core:_read_css',\\n ],\\n 'obspy.plugin.waveform.NNSA_KB_CORE': [\\n 'isFormat = obspy.io.css.core:_is_nnsa_kb_core',\\n 'readFormat = obspy.io.css.core:_read_nnsa_kb_core',\\n ],\\n 'obspy.plugin.waveform.WIN': [\\n 'isFormat = obspy.io.win.core:_is_win',\\n 'readFormat = obspy.io.win.core:_read_win',\\n ],\\n 'obspy.plugin.waveform.KINEMETRICS_EVT': [\\n 'isFormat = obspy.io.kinemetrics.core:is_evt',\\n 'readFormat = obspy.io.kinemetrics.core:read_evt',\\n ],\\n 'obspy.plugin.waveform.GSE1': [\\n 'isFormat = obspy.io.gse2.core:_is_gse1',\\n 'readFormat = obspy.io.gse2.core:_read_gse1',\\n ],\\n 'obspy.plugin.waveform.GSE2': [\\n 'isFormat = obspy.io.gse2.core:_is_gse2',\\n 'readFormat = obspy.io.gse2.core:_read_gse2',\\n 'writeFormat = obspy.io.gse2.core:_write_gse2',\\n ],\\n 'obspy.plugin.waveform.MSEED': [\\n 'isFormat = obspy.io.mseed.core:_is_mseed',\\n 'readFormat = obspy.io.mseed.core:_read_mseed',\\n 'writeFormat = obspy.io.mseed.core:_write_mseed',\\n ],\\n 'obspy.plugin.waveform.PDAS': [\\n 'isFormat = obspy.io.pdas.core:_is_pdas',\\n 'readFormat = obspy.io.pdas.core:_read_pdas',\\n ],\\n 'obspy.plugin.waveform.SAC': [\\n 'isFormat = obspy.io.sac.core:_is_sac',\\n 'readFormat = obspy.io.sac.core:_read_sac',\\n 'writeFormat = obspy.io.sac.core:_write_sac',\\n ],\\n 'obspy.plugin.waveform.SACXY': [\\n 'isFormat = obspy.io.sac.core:_is_sac_xy',\\n 'readFormat = obspy.io.sac.core:_read_sac_xy',\\n 'writeFormat = obspy.io.sac.core:_write_sac_xy',\\n ],\\n 'obspy.plugin.waveform.SEG2': [\\n 'isFormat = obspy.io.seg2.seg2:_is_seg2',\\n 'readFormat = obspy.io.seg2.seg2:_read_seg2',\\n ],\\n 'obspy.plugin.waveform.SEGY': [\\n 'isFormat = obspy.io.segy.core:_is_segy',\\n 'readFormat = obspy.io.segy.core:_read_segy',\\n 'writeFormat = obspy.io.segy.core:_write_segy',\\n ],\\n 'obspy.plugin.waveform.SU': [\\n 'isFormat = obspy.io.segy.core:_is_su',\\n 'readFormat = obspy.io.segy.core:_read_su',\\n 'writeFormat = obspy.io.segy.core:_write_su',\\n ],\\n 'obspy.plugin.waveform.SEISAN': [\\n 'isFormat = obspy.io.seisan.core:_is_seisan',\\n 'readFormat = obspy.io.seisan.core:_read_seisan',\\n ],\\n 'obspy.plugin.waveform.Q': [\\n 'isFormat = obspy.io.sh.core:_is_q',\\n 'readFormat = obspy.io.sh.core:_read_q',\\n 'writeFormat = obspy.io.sh.core:_write_q',\\n ],\\n 'obspy.plugin.waveform.SH_ASC': [\\n 'isFormat = obspy.io.sh.core:_is_asc',\\n 'readFormat = obspy.io.sh.core:_read_asc',\\n 'writeFormat = obspy.io.sh.core:_write_asc',\\n ],\\n 'obspy.plugin.waveform.WAV': [\\n 'isFormat = obspy.io.wav.core:_is_wav',\\n 'readFormat = obspy.io.wav.core:_read_wav',\\n 'writeFormat = obspy.io.wav.core:_write_wav',\\n ],\\n 'obspy.plugin.waveform.Y': [\\n 'isFormat = obspy.io.y.core:_is_y',\\n 'readFormat = obspy.io.y.core:_read_y',\\n ],\\n 'obspy.plugin.waveform.AH': [\\n 'isFormat = obspy.io.ah.core:_is_ah',\\n 'readFormat = obspy.io.ah.core:_read_ah',\\n 'writeFormat = obspy.io.ah.core:_write_ah1'\\n ],\\n 'obspy.plugin.waveform.KNET': [\\n 'isFormat = obspy.io.nied.knet:_is_knet_ascii',\\n 'readFormat = obspy.io.nied.knet:_read_knet_ascii',\\n ],\\n 'obspy.plugin.waveform.GCF': [\\n 'isFormat = obspy.io.gcf.core:_is_gcf',\\n 'readFormat = obspy.io.gcf.core:_read_gcf',\\n ],\\n 'obspy.plugin.waveform.REFTEK130': [\\n 'isFormat = obspy.io.reftek.core:_is_reftek130',\\n 'readFormat = obspy.io.reftek.core:_read_reftek130',\\n ],\\n 'obspy.plugin.waveform.RG16': [\\n 'isFormat = obspy.io.rg16.core:_is_rg16',\\n 'readFormat = obspy.io.rg16.core:_read_rg16',\\n ],\\n 'obspy.plugin.waveform.DMX': [\\n 'isFormat = obspy.io.dmx.core:_is_dmx',\\n 'readFormat = obspy.io.dmx.core:_read_dmx',\\n ],\\n 'obspy.plugin.event': [\\n 'QUAKEML = obspy.io.quakeml.core',\\n 'SC3ML = obspy.io.seiscomp.event',\\n 'ZMAP = obspy.io.zmap.core',\\n 'MCHEDR = obspy.io.pde.mchedr',\\n 'JSON = obspy.io.json.core',\\n 'NDK = obspy.io.ndk.core',\\n 'NLLOC_HYP = obspy.io.nlloc.core',\\n 'NLLOC_OBS = obspy.io.nlloc.core',\\n 'NORDIC = obspy.io.nordic.core',\\n 'CNV = obspy.io.cnv.core',\\n 'CMTSOLUTION = obspy.io.cmtsolution.core',\\n 'SCARDEC = obspy.io.scardec.core',\\n 'SHAPEFILE = obspy.io.shapefile.core',\\n 'KML = obspy.io.kml.core',\\n 'FNETMT = obspy.io.nied.fnetmt',\\n 'GSE2 = obspy.io.gse2.bulletin',\\n 'IMS10BULLETIN = obspy.io.iaspei.core',\\n 'EVT = obspy.io.sh.evt',\\n 'FOCMEC = obspy.io.focmec.core',\\n 'HYPODDPHA = obspy.io.hypodd.pha'\\n ],\\n 'obspy.plugin.event.QUAKEML': [\\n 'isFormat = obspy.io.quakeml.core:_is_quakeml',\\n 'readFormat = obspy.io.quakeml.core:_read_quakeml',\\n 'writeFormat = obspy.io.quakeml.core:_write_quakeml',\\n ],\\n 'obspy.plugin.event.SC3ML': [\\n 'isFormat = obspy.io.seiscomp.core:_is_sc3ml',\\n 'readFormat = obspy.io.seiscomp.event:_read_sc3ml',\\n 'writeFormat = obspy.io.seiscomp.event:_write_sc3ml',\\n ],\\n 'obspy.plugin.event.MCHEDR': [\\n 'isFormat = obspy.io.pde.mchedr:_is_mchedr',\\n 'readFormat = obspy.io.pde.mchedr:_read_mchedr',\\n ],\\n 'obspy.plugin.event.JSON': [\\n 'writeFormat = obspy.io.json.core:_write_json',\\n ],\\n 'obspy.plugin.event.ZMAP': [\\n 'isFormat = obspy.io.zmap.core:_is_zmap',\\n 'readFormat = obspy.io.zmap.core:_read_zmap',\\n 'writeFormat = obspy.io.zmap.core:_write_zmap',\\n ],\\n 'obspy.plugin.event.CNV': [\\n 'writeFormat = obspy.io.cnv.core:_write_cnv',\\n ],\\n 'obspy.plugin.event.NDK': [\\n 'isFormat = obspy.io.ndk.core:_is_ndk',\\n 'readFormat = obspy.io.ndk.core:_read_ndk',\\n ],\\n 'obspy.plugin.event.NLLOC_HYP': [\\n 'isFormat = obspy.io.nlloc.core:is_nlloc_hyp',\\n 'readFormat = obspy.io.nlloc.core:read_nlloc_hyp',\\n ],\\n 'obspy.plugin.event.NLLOC_OBS': [\\n 'writeFormat = obspy.io.nlloc.core:write_nlloc_obs',\\n ],\\n 'obspy.plugin.event.NORDIC': [\\n 'writeFormat = obspy.io.nordic.core:write_select',\\n 'readFormat = obspy.io.nordic.core:read_nordic',\\n 'isFormat = obspy.io.nordic.core:_is_sfile'\\n ],\\n 'obspy.plugin.event.CMTSOLUTION': [\\n 'isFormat = obspy.io.cmtsolution.core:_is_cmtsolution',\\n 'readFormat = obspy.io.cmtsolution.core:_read_cmtsolution',\\n 'writeFormat = obspy.io.cmtsolution.core:_write_cmtsolution'\\n ],\\n 'obspy.plugin.event.SCARDEC': [\\n 'isFormat = obspy.io.scardec.core:_is_scardec',\\n 'readFormat = obspy.io.scardec.core:_read_scardec',\\n 'writeFormat = obspy.io.scardec.core:_write_scardec'\\n ],\\n 'obspy.plugin.event.FNETMT': [\\n 'isFormat = obspy.io.nied.fnetmt:_is_fnetmt_catalog',\\n 'readFormat = obspy.io.nied.fnetmt:_read_fnetmt_catalog',\\n ],\\n 'obspy.plugin.event.GSE2': [\\n 'isFormat = obspy.io.gse2.bulletin:_is_gse2',\\n 'readFormat = obspy.io.gse2.bulletin:_read_gse2',\\n ],\\n 'obspy.plugin.event.SHAPEFILE': [\\n 'writeFormat = obspy.io.shapefile.core:_write_shapefile',\\n ],\\n 'obspy.plugin.event.KML': [\\n 'writeFormat = obspy.io.kml.core:_write_kml',\\n ],\\n 'obspy.plugin.event.IMS10BULLETIN': [\\n 'isFormat = obspy.io.iaspei.core:_is_ims10_bulletin',\\n 'readFormat = obspy.io.iaspei.core:_read_ims10_bulletin',\\n ],\\n 'obspy.plugin.event.EVT': [\\n 'isFormat = obspy.io.sh.evt:_is_evt',\\n 'readFormat = obspy.io.sh.evt:_read_evt',\\n ],\\n 'obspy.plugin.event.FOCMEC': [\\n 'isFormat = obspy.io.focmec.core:_is_focmec',\\n 'readFormat = obspy.io.focmec.core:_read_focmec',\\n ],\\n 'obspy.plugin.event.HYPODDPHA': [\\n 'isFormat = obspy.io.hypodd.pha:_is_pha',\\n 'readFormat = obspy.io.hypodd.pha:_read_pha',\\n ],\\n 'obspy.plugin.inventory': [\\n 'STATIONXML = obspy.io.stationxml.core',\\n 'INVENTORYXML = obspy.io.arclink.inventory',\\n 'SC3ML = obspy.io.seiscomp.inventory',\\n 'SACPZ = obspy.io.sac.sacpz',\\n 'CSS = obspy.io.css.station',\\n 'SHAPEFILE = obspy.io.shapefile.core',\\n 'STATIONTXT = obspy.io.stationtxt.core',\\n 'KML = obspy.io.kml.core',\\n 'SEED = obspy.io.xseed.core',\\n 'XSEED = obspy.io.xseed.core',\\n 'RESP = obspy.io.xseed.core',\\n ],\\n 'obspy.plugin.inventory.STATIONXML': [\\n 'isFormat = obspy.io.stationxml.core:_is_stationxml',\\n 'readFormat = obspy.io.stationxml.core:_read_stationxml',\\n 'writeFormat = obspy.io.stationxml.core:_write_stationxml',\\n ],\\n 'obspy.plugin.inventory.INVENTORYXML': [\\n 'isFormat = obspy.io.arclink.inventory:_is_inventory_xml',\\n 'readFormat = obspy.io.arclink.inventory:_read_inventory_xml',\\n ],\\n 'obspy.plugin.inventory.SC3ML': [\\n 'isFormat = obspy.io.seiscomp.core:_is_sc3ml',\\n 'readFormat = obspy.io.seiscomp.inventory:_read_sc3ml',\\n ],\\n 'obspy.plugin.inventory.SACPZ': [\\n 'writeFormat = obspy.io.sac.sacpz:_write_sacpz',\\n ],\\n 'obspy.plugin.inventory.CSS': [\\n 'writeFormat = obspy.io.css.station:_write_css',\\n ],\\n 'obspy.plugin.inventory.SHAPEFILE': [\\n 'writeFormat = obspy.io.shapefile.core:_write_shapefile',\\n ],\\n 'obspy.plugin.inventory.STATIONTXT': [\\n 'isFormat = obspy.io.stationtxt.core:is_fdsn_station_text_file',\\n 'readFormat = '\\n 'obspy.io.stationtxt.core:read_fdsn_station_text_file',\\n 'writeFormat = obspy.io.stationtxt.core:_write_stationtxt',\\n ],\\n 'obspy.plugin.inventory.KML': [\\n 'writeFormat = obspy.io.kml.core:_write_kml',\\n ],\\n 'obspy.plugin.inventory.SEED': [\\n 'isFormat = obspy.io.xseed.core:_is_seed',\\n 'readFormat = obspy.io.xseed.core:_read_seed',\\n ],\\n 'obspy.plugin.inventory.XSEED': [\\n 'isFormat = obspy.io.xseed.core:_is_xseed',\\n 'readFormat = obspy.io.xseed.core:_read_xseed',\\n ],\\n 'obspy.plugin.inventory.RESP': [\\n 'isFormat = obspy.io.xseed.core:_is_resp',\\n 'readFormat = obspy.io.xseed.core:_read_resp',\\n ],\\n 'obspy.plugin.detrend': [\\n 'linear = scipy.signal:detrend',\\n 'constant = scipy.signal:detrend',\\n 'demean = scipy.signal:detrend',\\n 'simple = obspy.signal.detrend:simple',\\n 'polynomial = obspy.signal.detrend:polynomial',\\n 'spline = obspy.signal.detrend:spline'\\n ],\\n 'obspy.plugin.differentiate': [\\n 'gradient = numpy:gradient',\\n ],\\n 'obspy.plugin.integrate': [\\n 'cumtrapz = '\\n 'obspy.signal.differentiate_and_integrate:integrate_cumtrapz',\\n 'spline = '\\n 'obspy.signal.differentiate_and_integrate:integrate_spline',\\n ],\\n 'obspy.plugin.filter': [\\n 'bandpass = obspy.signal.filter:bandpass',\\n 'bandstop = obspy.signal.filter:bandstop',\\n 'lowpass = obspy.signal.filter:lowpass',\\n 'highpass = obspy.signal.filter:highpass',\\n 'lowpass_cheby_2 = obspy.signal.filter:lowpass_cheby_2',\\n 'lowpass_fir = obspy.signal.filter:lowpass_FIR',\\n 'remez_fir = obspy.signal.filter:remez_FIR',\\n ],\\n 'obspy.plugin.interpolate': [\\n 'interpolate_1d = obspy.signal.interpolation:interpolate_1d',\\n 'weighted_average_slopes = '\\n 'obspy.signal.interpolation:weighted_average_slopes',\\n 'lanczos = obspy.signal.interpolation:lanczos_interpolation'\\n ],\\n 'obspy.plugin.rotate': [\\n 'rotate_ne_rt = obspy.signal.rotate:rotate_ne_rt',\\n 'rotate_rt_ne = obspy.signal.rotate:rotate_rt_ne',\\n 'rotate_zne_lqt = obspy.signal.rotate:rotate_zne_lqt',\\n 'rotate_lqt_zne = obspy.signal.rotate:rotate_lqt_zne'\\n ],\\n 'obspy.plugin.taper': [\\n 'cosine = obspy.signal.invsim:cosine_taper',\\n 'barthann = scipy.signal:barthann',\\n 'bartlett = scipy.signal:bartlett',\\n 'blackman = scipy.signal:blackman',\\n 'blackmanharris = scipy.signal:blackmanharris',\\n 'bohman = scipy.signal:bohman',\\n 'boxcar = scipy.signal:boxcar',\\n 'chebwin = scipy.signal:chebwin',\\n 'flattop = scipy.signal:flattop',\\n 'gaussian = scipy.signal:gaussian',\\n 'general_gaussian = scipy.signal:general_gaussian',\\n 'hamming = scipy.signal:hamming',\\n 'hann = scipy.signal:hann',\\n 'kaiser = scipy.signal:kaiser',\\n 'nuttall = scipy.signal:nuttall',\\n 'parzen = scipy.signal:parzen',\\n 'slepian = scipy.signal:slepian',\\n 'triang = scipy.signal:triang',\\n ],\\n 'obspy.plugin.trigger': [\\n 'recstalta = obspy.signal.trigger:recursive_sta_lta',\\n 'carlstatrig = obspy.signal.trigger:carl_sta_trig',\\n 'classicstalta = obspy.signal.trigger:classic_sta_lta',\\n 'delayedstalta = obspy.signal.trigger:delayed_sta_lta',\\n 'zdetect = obspy.signal.trigger:z_detect',\\n 'recstaltapy = obspy.signal.trigger:recursive_sta_lta_py',\\n 'classicstaltapy = obspy.signal.trigger:classic_sta_lta_py',\\n ],\\n 'obspy.db.feature': [\\n 'minmax_amplitude = obspy.db.feature:MinMaxAmplitudeFeature',\\n 'bandpass_preview = obspy.db.feature:BandpassPreviewFeature',\\n ],\\n }\\n\\n\\ndef find_packages():\\n \\\"\\\"\\\"\\n Simple function to find all modules under the current folder.\\n \\\"\\\"\\\"\\n modules = []\\n for dirpath, _, filenames in os.walk(os.path.join(SETUP_DIRECTORY,\\n \\\"obspy\\\")):\\n if \\\"__init__.py\\\" in filenames:\\n modules.append(os.path.relpath(dirpath, SETUP_DIRECTORY))\\n return [_i.replace(os.sep, \\\".\\\") for _i in modules]\\n\\n\\n# monkey patches for MS Visual Studio\\nif IS_MSVC:\\n # remove 'init' entry in exported symbols\\n def _get_export_symbols(self, ext):\\n return ext.export_symbols\\n from distutils.command.build_ext import build_ext\\n build_ext.get_export_symbols = _get_export_symbols\\n\\n\\n# helper function for collecting export symbols from .def files\\ndef export_symbols(*path):\\n lines = open(os.path.join(*path), 'r').readlines()[2:]\\n return [s.strip() for s in lines if s.strip() != '']\\n\\n\\n# adds --with-system-libs command-line option if possible\\ndef add_features():\\n if 'setuptools' not in sys.modules or not hasattr(setuptools, 'Feature'):\\n return {}\\n\\n class ExternalLibFeature(setuptools.Feature):\\n def __init__(self, *args, **kwargs):\\n self.name = kwargs['name']\\n setuptools.Feature.__init__(self, *args, **kwargs)\\n\\n def include_in(self, dist):\\n globals()[self.name] = True\\n\\n def exclude_from(self, dist):\\n globals()[self.name] = False\\n\\n return {\\n 'system-libs': setuptools.Feature(\\n 'use of system C libraries',\\n standard=False,\\n require_features=('system-evalresp', 'system-libmseed')\\n ),\\n 'system-evalresp': ExternalLibFeature(\\n 'use of system evalresp library',\\n standard=False,\\n name='EXTERNAL_EVALRESP'\\n ),\\n 'system-libmseed': ExternalLibFeature(\\n 'use of system libmseed library',\\n standard=False,\\n name='EXTERNAL_LIBMSEED'\\n )\\n }\\n\\n\\ndef configuration(parent_package=\\\"\\\", top_path=None):\\n \\\"\\\"\\\"\\n Config function mainly used to compile C code.\\n \\\"\\\"\\\"\\n config = Configuration(\\\"\\\", parent_package, top_path)\\n\\n # GSE2\\n path = os.path.join(\\\"obspy\\\", \\\"io\\\", \\\"gse2\\\", \\\"src\\\", \\\"GSE_UTI\\\")\\n files = [os.path.join(path, \\\"gse_functions.c\\\")]\\n # compiler specific options\\n kwargs = {}\\n if IS_MSVC:\\n # get export symbols\\n kwargs['export_symbols'] = export_symbols(path, 'gse_functions.def')\\n config.add_extension(_get_lib_name(\\\"gse2\\\", add_extension_suffix=False),\\n files, **kwargs)\\n\\n # LIBMSEED\\n path = os.path.join(\\\"obspy\\\", \\\"io\\\", \\\"mseed\\\", \\\"src\\\")\\n files = [os.path.join(path, \\\"obspy-readbuffer.c\\\")]\\n if not EXTERNAL_LIBMSEED:\\n files += glob.glob(os.path.join(path, \\\"libmseed\\\", \\\"*.c\\\"))\\n # compiler specific options\\n kwargs = {}\\n if IS_MSVC:\\n # needed by libmseed lmplatform.h\\n kwargs['define_macros'] = [('WIN32', '1')]\\n # get export symbols\\n kwargs['export_symbols'] = \\\\\\n export_symbols(path, 'libmseed', 'libmseed.def')\\n kwargs['export_symbols'] += \\\\\\n export_symbols(path, 'obspy-readbuffer.def')\\n if EXTERNAL_LIBMSEED:\\n kwargs['libraries'] = ['mseed']\\n config.add_extension(_get_lib_name(\\\"mseed\\\", add_extension_suffix=False),\\n files, **kwargs)\\n\\n # SEGY\\n path = os.path.join(\\\"obspy\\\", \\\"io\\\", \\\"segy\\\", \\\"src\\\")\\n files = [os.path.join(path, \\\"ibm2ieee.c\\\")]\\n # compiler specific options\\n kwargs = {}\\n if IS_MSVC:\\n # get export symbols\\n kwargs['export_symbols'] = export_symbols(path, 'libsegy.def')\\n config.add_extension(_get_lib_name(\\\"segy\\\", add_extension_suffix=False),\\n files, **kwargs)\\n\\n # SIGNAL\\n path = os.path.join(\\\"obspy\\\", \\\"signal\\\", \\\"src\\\")\\n files = glob.glob(os.path.join(path, \\\"*.c\\\"))\\n # compiler specific options\\n kwargs = {}\\n if IS_MSVC:\\n # get export symbols\\n kwargs['export_symbols'] = export_symbols(path, 'libsignal.def')\\n config.add_extension(_get_lib_name(\\\"signal\\\", add_extension_suffix=False),\\n files, **kwargs)\\n\\n # EVALRESP\\n path = os.path.join(\\\"obspy\\\", \\\"signal\\\", \\\"src\\\")\\n if EXTERNAL_EVALRESP:\\n files = glob.glob(os.path.join(path, \\\"evalresp\\\", \\\"_obspy*.c\\\"))\\n else:\\n files = glob.glob(os.path.join(path, \\\"evalresp\\\", \\\"*.c\\\"))\\n # compiler specific options\\n kwargs = {}\\n if IS_MSVC:\\n # needed by evalresp evresp.h\\n kwargs['define_macros'] = [('WIN32', '1')]\\n # get export symbols\\n kwargs['export_symbols'] = export_symbols(path, 'libevresp.def')\\n if EXTERNAL_EVALRESP:\\n kwargs['libraries'] = ['evresp']\\n config.add_extension(_get_lib_name(\\\"evresp\\\", add_extension_suffix=False),\\n files, **kwargs)\\n\\n # TAU\\n path = os.path.join(\\\"obspy\\\", \\\"taup\\\", \\\"src\\\")\\n files = [os.path.join(path, \\\"inner_tau_loops.c\\\")]\\n # compiler specific options\\n kwargs = {}\\n if IS_MSVC:\\n # get export symbols\\n kwargs['export_symbols'] = export_symbols(path, 'libtau.def')\\n config.add_extension(_get_lib_name(\\\"tau\\\", add_extension_suffix=False),\\n files, **kwargs)\\n\\n add_data_files(config)\\n\\n return config\\n\\n\\ndef add_data_files(config):\\n \\\"\\\"\\\"\\n Recursively include all non python files\\n \\\"\\\"\\\"\\n # python files are included per default, we only include data files\\n # here\\n EXCLUDE_WILDCARDS = ['*.py', '*.pyc', '*.pyo', '*.pdf', '.git*']\\n EXCLUDE_DIRS = ['src', '__pycache__']\\n common_prefix = SETUP_DIRECTORY + os.path.sep\\n for root, dirs, files in os.walk(os.path.join(SETUP_DIRECTORY, 'obspy')):\\n root = root.replace(common_prefix, '')\\n for name in files:\\n if any(fnmatch.fnmatch(name, w) for w in EXCLUDE_WILDCARDS):\\n continue\\n config.add_data_files(os.path.join(root, name))\\n for folder in EXCLUDE_DIRS:\\n if folder in dirs:\\n dirs.remove(folder)\\n\\n # Force include the contents of some directories.\\n FORCE_INCLUDE_DIRS = [\\n os.path.join(SETUP_DIRECTORY, 'obspy', 'io', 'mseed', 'src',\\n 'libmseed', 'test')]\\n\\n for folder in FORCE_INCLUDE_DIRS:\\n for root, _, files in os.walk(folder):\\n for filename in files:\\n config.add_data_files(\\n os.path.relpath(os.path.join(root, filename),\\n SETUP_DIRECTORY))\\n\\n\\n# Auto-generate man pages from --help output\\nclass Help2ManBuild(build):\\n description = \\\"Run help2man on scripts to produce man pages\\\"\\n\\n def finalize_options(self):\\n build.finalize_options(self)\\n self.help2man = find_executable('help2man')\\n if not self.help2man:\\n raise DistutilsSetupError('Building man pages requires help2man.')\\n\\n def run(self):\\n mandir = os.path.join(self.build_base, 'man')\\n self.mkpath(mandir)\\n\\n from pkg_resources import EntryPoint\\n for entrypoint in ENTRY_POINTS['console_scripts']:\\n ep = EntryPoint.parse(entrypoint)\\n if not ep.module_name.startswith('obspy'):\\n continue\\n\\n output = os.path.join(mandir, ep.name + '.1')\\n print('Generating %s ...' % (output))\\n exec_command([self.help2man,\\n '--no-info', '--no-discard-stderr',\\n '--output', output,\\n '\\\"%s -m %s\\\"' % (sys.executable,\\n ep.module_name)])\\n\\n\\nclass Help2ManInstall(install):\\n description = 'Install man pages generated by help2man'\\n user_options = install.user_options + [\\n ('manprefix=', None, 'MAN Prefix Path')\\n ]\\n\\n def initialize_options(self):\\n self.manprefix = None\\n install.initialize_options(self)\\n\\n def finalize_options(self):\\n if self.manprefix is None:\\n self.manprefix = os.path.join('share', 'man')\\n install.finalize_options(self)\\n\\n def run(self):\\n if not self.skip_build:\\n self.run_command('build_man')\\n\\n srcdir = os.path.join(self.build_base, 'man')\\n mandir = os.path.join(self.install_base, self.manprefix, 'man1')\\n if self.root is not None:\\n mandir = change_root(self.root, mandir)\\n self.mkpath(mandir)\\n self.copy_tree(srcdir, mandir)\\n\\n\\ndef setupPackage():\\n # setup package\\n setup(\\n name='obspy',\\n version=get_git_version(),\\n description=DOCSTRING[1],\\n long_description=\\\"\\\\n\\\".join(DOCSTRING[3:]),\\n url=\\\"https://www.obspy.org\\\",\\n author='The ObsPy Development Team',\\n author_email='devs@obspy.org',\\n license='GNU Lesser General Public License, Version 3 (LGPLv3)',\\n platforms='OS Independent',\\n classifiers=[\\n 'Development Status :: 5 - Production/Stable',\\n 'Environment :: Console',\\n 'Intended Audience :: Science/Research',\\n 'Intended Audience :: Developers',\\n 'License :: OSI Approved :: GNU Library or ' +\\n 'Lesser General Public License (LGPL)',\\n 'Operating System :: OS Independent',\\n 'Programming Language :: Python',\\n 'Programming Language :: Python :: 3',\\n 'Programming Language :: Python :: 3.7',\\n 'Programming Language :: Python :: 3.8',\\n 'Topic :: Scientific/Engineering',\\n 'Topic :: Scientific/Engineering :: Physics'],\\n keywords=KEYWORDS,\\n packages=find_packages(),\\n namespace_packages=[],\\n zip_safe=False,\\n python_requires=f'>={MIN_PYTHON_VERSION[0]}.{MIN_PYTHON_VERSION[1]}',\\n install_requires=INSTALL_REQUIRES,\\n extras_require=EXTRAS_REQUIRE,\\n features=add_features(),\\n # this is needed for \\\"easy_install obspy==dev\\\"\\n download_url=(\\\"https://github.com/obspy/obspy/zipball/master\\\"\\n \\\"#egg=obspy=dev\\\"),\\n include_package_data=True,\\n entry_points=ENTRY_POINTS,\\n ext_package='obspy.lib',\\n cmdclass={\\n 'build_man': Help2ManBuild,\\n 'install_man': Help2ManInstall\\n },\\n configuration=configuration)\\n\\n\\nif __name__ == '__main__':\\n # clean --all does not remove extensions automatically\\n if 'clean' in sys.argv and '--all' in sys.argv:\\n import shutil\\n # delete complete build directory\\n path = os.path.join(SETUP_DIRECTORY, 'build')\\n try:\\n shutil.rmtree(path)\\n except Exception:\\n pass\\n # delete all shared libs from lib directory\\n path = os.path.join(SETUP_DIRECTORY, 'obspy', 'lib')\\n for filename in glob.glob(path + os.sep + '*.pyd'):\\n try:\\n os.remove(filename)\\n except Exception:\\n pass\\n for filename in glob.glob(path + os.sep + '*.so'):\\n try:\\n os.remove(filename)\\n except Exception:\\n pass\\n path = os.path.join(SETUP_DIRECTORY, 'obspy', 'taup', 'data', 'models')\\n try:\\n shutil.rmtree(path)\\n except Exception:\\n pass\\n else:\\n setupPackage()\\n\",\n \"path\": \"setup.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"#! /usr/bin/env python\n# -*- coding: utf-8 -*-\n\"\"\"\nObsPy - a Python framework for seismological observatories.\n\nObsPy is an open-source project dedicated to provide a Python framework for\nprocessing seismological data. It provides parsers for common file formats,\nclients to access data centers and seismological signal processing routines\nwhich allow the manipulation of seismological time series (see Beyreuther et\nal. 2010, Megies et al. 2011).\n\nThe goal of the ObsPy project is to facilitate rapid application development\nfor seismology.\n\nFor more information visit https://www.obspy.org.\n\n:copyright:\n The ObsPy Development Team (devs@obspy.org)\n:license:\n GNU Lesser General Public License, Version 3\n (https://www.gnu.org/copyleft/lesser.html)\n\"\"\"\n# Importing setuptools monkeypatches some of distutils commands so things like\n# 'python setup.py develop' work. Wrap in try/except so it is not an actual\n# dependency. Inplace installation with pip works also without importing\n# setuptools.\ntry:\n import setuptools # @UnusedImport # NOQA\nexcept ImportError:\n pass\n\ntry:\n import numpy # @UnusedImport # NOQA\nexcept ImportError:\n msg = (\"No module named numpy. \"\n \"Please install numpy first, it is needed before installing ObsPy.\")\n raise ImportError(msg)\n\nimport fnmatch\nimport glob\nimport inspect\nimport os\nimport sys\nimport platform\nfrom distutils.util import change_root\nfrom distutils.errors import DistutilsSetupError\n\nfrom numpy.distutils.core import setup\nfrom numpy.distutils.ccompiler import get_default_compiler\nfrom numpy.distutils.command.build import build\nfrom numpy.distutils.command.install import install\nfrom numpy.distutils.exec_command import exec_command, find_executable\nfrom numpy.distutils.misc_util import Configuration\n\n\n# The minimum python version which can be used to run ObsPy\nMIN_PYTHON_VERSION = (3, 6)\n\n# Fail fast if the user is on an unsupported version of python.\nif sys.version_info < MIN_PYTHON_VERSION:\n msg = (\"ObsPy requires python version >= {}\".format(MIN_PYTHON_VERSION) +\n \" you are using python version {}\".format(sys.version_info))\n print(msg, file=sys.stderr)\n sys.exit(1)\n\n# Directory of the current file in the (hopefully) most reliable way\n# possible, according to krischer\nSETUP_DIRECTORY = os.path.dirname(os.path.abspath(inspect.getfile(\n inspect.currentframe())))\n\n# Import the version string.\n# Any .py files that are used at install time must be registered in\n# obspy.core.tests.test_util_misc.UtilMiscTestCase.test_no_obspy_imports!\nUTIL_PATH = os.path.join(SETUP_DIRECTORY, \"obspy\", \"core\", \"util\")\nsys.path.insert(0, UTIL_PATH)\nfrom version import get_git_version # @UnresolvedImport\nfrom libnames import _get_lib_name # @UnresolvedImport\nsys.path.pop(0)\n\nLOCAL_PATH = os.path.join(SETUP_DIRECTORY, \"setup.py\")\nDOCSTRING = __doc__.split(\"\\n\")\n\n# check for MSVC\nif platform.system() == \"Windows\" and (\n 'msvc' in sys.argv or\n '-c' not in sys.argv and\n get_default_compiler() == 'msvc'):\n IS_MSVC = True\nelse:\n IS_MSVC = False\n\n# Use system libraries? Set later...\nEXTERNAL_EVALRESP = False\nEXTERNAL_LIBMSEED = False\n\n# package specific settings\nKEYWORDS = [\n 'ArcLink', 'array', 'array analysis', 'ASC', 'beachball',\n 'beamforming', 'cross correlation', 'database', 'dataless',\n 'Dataless SEED', 'DMX', 'earthquakes', 'Earthworm', 'EIDA',\n 'envelope', 'ESRI', 'events', 'FDSN', 'features', 'filter',\n 'focal mechanism', 'FOCMEC', 'GCF', 'GSE1', 'GSE2', 'hob', 'Tau-P',\n 'IASPEI', 'imaging', 'IMS', 'instrument correction',\n 'instrument simulation', 'IRIS', 'ISF', 'kinemetrics', 'KML', 'magnitude',\n 'MiniSEED', 'misfit', 'mopad', 'MSEED', 'NDK', 'NERA', 'NERIES',\n 'NonLinLoc', 'NLLOC', 'Nordic', 'NRL', 'observatory', 'ORFEUS', 'PDAS',\n 'picker', 'processing', 'PQLX', 'Q', 'real time', 'realtime', 'REFTEK',\n 'REFTEK130', 'RG-1.6', 'RT-130', 'RESP', 'response file', 'RT', 'SAC',\n 'scardec', 'sc3ml', 'SDS', 'SEED', 'SeedLink', 'SEG-2', 'SEG Y', 'SEISAN',\n 'SeisHub', 'Seismic Handler', 'seismology', 'seismogram', 'seismograms',\n 'shapefile', 'signal', 'slink', 'spectrogram', 'StationXML', 'taper',\n 'taup', 'travel time', 'trigger', 'VERCE', 'WAV', 'waveform', 'WaveServer',\n 'WaveServerV', 'WebDC', 'web service', 'WIN', 'Winston', 'XML-SEED',\n 'XSEED']\n\n# when bumping to numpy 1.9.0: replace bytes() in io.reftek with np.tobytes()\n# and in obspy/io/mseed/core.py change downcasting check to numpy.can_cast()\n# when bumping to numpy 1.7.0: get rid of if/else when loading npz file to PPSD\n# and get rid of helper function _np_copy_astype() in obspy/io/mseed/core.py\nINSTALL_REQUIRES = [\n 'numpy>=1.15.0',\n 'scipy>=1.0.0',\n 'matplotlib>=3.2.0',\n 'lxml',\n 'setuptools',\n 'sqlalchemy',\n 'decorator',\n 'requests']\nEXTRAS_REQUIRE = {\n 'tests': ['flake8>=2', 'pyimgur', 'pyproj', 'pep8-naming'],\n # arclink decryption also works with: pycrypto, m2crypto, pycryptodome\n 'arclink': ['cryptography'],\n 'io.shapefile': ['pyshp'],\n }\n\nENTRY_POINTS = {\n 'console_scripts': [\n 'obspy-flinn-engdahl = obspy.scripts.flinnengdahl:main',\n 'obspy-runtests = obspy.scripts.runtests:main',\n 'obspy-reftek-rescue = obspy.scripts.reftekrescue:main',\n 'obspy-print = obspy.scripts._print:main',\n 'obspy-sds-report = obspy.scripts.sds_html_report:main',\n 'obspy-indexer = obspy.db.scripts.indexer:main',\n 'obspy-scan = obspy.imaging.scripts.scan:main',\n 'obspy-plot = obspy.imaging.scripts.plot:main',\n 'obspy-mopad = obspy.imaging.scripts.mopad:main',\n 'obspy-mseed-recordanalyzer = '\n 'obspy.io.mseed.scripts.recordanalyzer:main',\n 'obspy-dataless2xseed = obspy.io.xseed.scripts.dataless2xseed:main',\n 'obspy-xseed2dataless = obspy.io.xseed.scripts.xseed2dataless:main',\n 'obspy-dataless2resp = obspy.io.xseed.scripts.dataless2resp:main',\n ],\n 'obspy.plugin.waveform': [\n 'TSPAIR = obspy.io.ascii.core',\n 'SLIST = obspy.io.ascii.core',\n 'PICKLE = obspy.core.stream',\n 'CSS = obspy.io.css.core',\n 'WIN = obspy.io.win.core',\n 'KINEMETRICS_EVT = obspy.io.kinemetrics.core',\n 'GSE1 = obspy.io.gse2.core',\n 'GSE2 = obspy.io.gse2.core',\n 'MSEED = obspy.io.mseed.core',\n 'NNSA_KB_CORE = obspy.io.css.core',\n 'PDAS = obspy.io.pdas.core',\n 'SAC = obspy.io.sac.core',\n 'SACXY = obspy.io.sac.core',\n 'Y = obspy.io.y.core',\n 'SEG2 = obspy.io.seg2.seg2',\n 'SEGY = obspy.io.segy.core',\n 'SU = obspy.io.segy.core',\n 'SEISAN = obspy.io.seisan.core',\n 'Q = obspy.io.sh.core',\n 'SH_ASC = obspy.io.sh.core',\n 'WAV = obspy.io.wav.core',\n 'AH = obspy.io.ah.core',\n 'KNET = obspy.io.nied.knet',\n 'GCF = obspy.io.gcf.core',\n 'REFTEK130 = obspy.io.reftek.core',\n 'RG16 = obspy.io.rg16.core',\n 'DMX = obspy.io.dmx.core',\n ],\n 'obspy.plugin.waveform.TSPAIR': [\n 'isFormat = obspy.io.ascii.core:_is_tspair',\n 'readFormat = obspy.io.ascii.core:_read_tspair',\n 'writeFormat = obspy.io.ascii.core:_write_tspair',\n ],\n 'obspy.plugin.waveform.SLIST': [\n 'isFormat = obspy.io.ascii.core:_is_slist',\n 'readFormat = obspy.io.ascii.core:_read_slist',\n 'writeFormat = obspy.io.ascii.core:_write_slist',\n ],\n 'obspy.plugin.waveform.PICKLE': [\n 'isFormat = obspy.core.stream:_is_pickle',\n 'readFormat = obspy.core.stream:_read_pickle',\n 'writeFormat = obspy.core.stream:_write_pickle',\n ],\n 'obspy.plugin.waveform.CSS': [\n 'isFormat = obspy.io.css.core:_is_css',\n 'readFormat = obspy.io.css.core:_read_css',\n ],\n 'obspy.plugin.waveform.NNSA_KB_CORE': [\n 'isFormat = obspy.io.css.core:_is_nnsa_kb_core',\n 'readFormat = obspy.io.css.core:_read_nnsa_kb_core',\n ],\n 'obspy.plugin.waveform.WIN': [\n 'isFormat = obspy.io.win.core:_is_win',\n 'readFormat = obspy.io.win.core:_read_win',\n ],\n 'obspy.plugin.waveform.KINEMETRICS_EVT': [\n 'isFormat = obspy.io.kinemetrics.core:is_evt',\n 'readFormat = obspy.io.kinemetrics.core:read_evt',\n ],\n 'obspy.plugin.waveform.GSE1': [\n 'isFormat = obspy.io.gse2.core:_is_gse1',\n 'readFormat = obspy.io.gse2.core:_read_gse1',\n ],\n 'obspy.plugin.waveform.GSE2': [\n 'isFormat = obspy.io.gse2.core:_is_gse2',\n 'readFormat = obspy.io.gse2.core:_read_gse2',\n 'writeFormat = obspy.io.gse2.core:_write_gse2',\n ],\n 'obspy.plugin.waveform.MSEED': [\n 'isFormat = obspy.io.mseed.core:_is_mseed',\n 'readFormat = obspy.io.mseed.core:_read_mseed',\n 'writeFormat = obspy.io.mseed.core:_write_mseed',\n ],\n 'obspy.plugin.waveform.PDAS': [\n 'isFormat = obspy.io.pdas.core:_is_pdas',\n 'readFormat = obspy.io.pdas.core:_read_pdas',\n ],\n 'obspy.plugin.waveform.SAC': [\n 'isFormat = obspy.io.sac.core:_is_sac',\n 'readFormat = obspy.io.sac.core:_read_sac',\n 'writeFormat = obspy.io.sac.core:_write_sac',\n ],\n 'obspy.plugin.waveform.SACXY': [\n 'isFormat = obspy.io.sac.core:_is_sac_xy',\n 'readFormat = obspy.io.sac.core:_read_sac_xy',\n 'writeFormat = obspy.io.sac.core:_write_sac_xy',\n ],\n 'obspy.plugin.waveform.SEG2': [\n 'isFormat = obspy.io.seg2.seg2:_is_seg2',\n 'readFormat = obspy.io.seg2.seg2:_read_seg2',\n ],\n 'obspy.plugin.waveform.SEGY': [\n 'isFormat = obspy.io.segy.core:_is_segy',\n 'readFormat = obspy.io.segy.core:_read_segy',\n 'writeFormat = obspy.io.segy.core:_write_segy',\n ],\n 'obspy.plugin.waveform.SU': [\n 'isFormat = obspy.io.segy.core:_is_su',\n 'readFormat = obspy.io.segy.core:_read_su',\n 'writeFormat = obspy.io.segy.core:_write_su',\n ],\n 'obspy.plugin.waveform.SEISAN': [\n 'isFormat = obspy.io.seisan.core:_is_seisan',\n 'readFormat = obspy.io.seisan.core:_read_seisan',\n ],\n 'obspy.plugin.waveform.Q': [\n 'isFormat = obspy.io.sh.core:_is_q',\n 'readFormat = obspy.io.sh.core:_read_q',\n 'writeFormat = obspy.io.sh.core:_write_q',\n ],\n 'obspy.plugin.waveform.SH_ASC': [\n 'isFormat = obspy.io.sh.core:_is_asc',\n 'readFormat = obspy.io.sh.core:_read_asc',\n 'writeFormat = obspy.io.sh.core:_write_asc',\n ],\n 'obspy.plugin.waveform.WAV': [\n 'isFormat = obspy.io.wav.core:_is_wav',\n 'readFormat = obspy.io.wav.core:_read_wav',\n 'writeFormat = obspy.io.wav.core:_write_wav',\n ],\n 'obspy.plugin.waveform.Y': [\n 'isFormat = obspy.io.y.core:_is_y',\n 'readFormat = obspy.io.y.core:_read_y',\n ],\n 'obspy.plugin.waveform.AH': [\n 'isFormat = obspy.io.ah.core:_is_ah',\n 'readFormat = obspy.io.ah.core:_read_ah',\n 'writeFormat = obspy.io.ah.core:_write_ah1'\n ],\n 'obspy.plugin.waveform.KNET': [\n 'isFormat = obspy.io.nied.knet:_is_knet_ascii',\n 'readFormat = obspy.io.nied.knet:_read_knet_ascii',\n ],\n 'obspy.plugin.waveform.GCF': [\n 'isFormat = obspy.io.gcf.core:_is_gcf',\n 'readFormat = obspy.io.gcf.core:_read_gcf',\n ],\n 'obspy.plugin.waveform.REFTEK130': [\n 'isFormat = obspy.io.reftek.core:_is_reftek130',\n 'readFormat = obspy.io.reftek.core:_read_reftek130',\n ],\n 'obspy.plugin.waveform.RG16': [\n 'isFormat = obspy.io.rg16.core:_is_rg16',\n 'readFormat = obspy.io.rg16.core:_read_rg16',\n ],\n 'obspy.plugin.waveform.DMX': [\n 'isFormat = obspy.io.dmx.core:_is_dmx',\n 'readFormat = obspy.io.dmx.core:_read_dmx',\n ],\n 'obspy.plugin.event': [\n 'QUAKEML = obspy.io.quakeml.core',\n 'SC3ML = obspy.io.seiscomp.event',\n 'ZMAP = obspy.io.zmap.core',\n 'MCHEDR = obspy.io.pde.mchedr',\n 'JSON = obspy.io.json.core',\n 'NDK = obspy.io.ndk.core',\n 'NLLOC_HYP = obspy.io.nlloc.core',\n 'NLLOC_OBS = obspy.io.nlloc.core',\n 'NORDIC = obspy.io.nordic.core',\n 'CNV = obspy.io.cnv.core',\n 'CMTSOLUTION = obspy.io.cmtsolution.core',\n 'SCARDEC = obspy.io.scardec.core',\n 'SHAPEFILE = obspy.io.shapefile.core',\n 'KML = obspy.io.kml.core',\n 'FNETMT = obspy.io.nied.fnetmt',\n 'GSE2 = obspy.io.gse2.bulletin',\n 'IMS10BULLETIN = obspy.io.iaspei.core',\n 'EVT = obspy.io.sh.evt',\n 'FOCMEC = obspy.io.focmec.core',\n 'HYPODDPHA = obspy.io.hypodd.pha'\n ],\n 'obspy.plugin.event.QUAKEML': [\n 'isFormat = obspy.io.quakeml.core:_is_quakeml',\n 'readFormat = obspy.io.quakeml.core:_read_quakeml',\n 'writeFormat = obspy.io.quakeml.core:_write_quakeml',\n ],\n 'obspy.plugin.event.SC3ML': [\n 'isFormat = obspy.io.seiscomp.core:_is_sc3ml',\n 'readFormat = obspy.io.seiscomp.event:_read_sc3ml',\n 'writeFormat = obspy.io.seiscomp.event:_write_sc3ml',\n ],\n 'obspy.plugin.event.MCHEDR': [\n 'isFormat = obspy.io.pde.mchedr:_is_mchedr',\n 'readFormat = obspy.io.pde.mchedr:_read_mchedr',\n ],\n 'obspy.plugin.event.JSON': [\n 'writeFormat = obspy.io.json.core:_write_json',\n ],\n 'obspy.plugin.event.ZMAP': [\n 'isFormat = obspy.io.zmap.core:_is_zmap',\n 'readFormat = obspy.io.zmap.core:_read_zmap',\n 'writeFormat = obspy.io.zmap.core:_write_zmap',\n ],\n 'obspy.plugin.event.CNV': [\n 'writeFormat = obspy.io.cnv.core:_write_cnv',\n ],\n 'obspy.plugin.event.NDK': [\n 'isFormat = obspy.io.ndk.core:_is_ndk',\n 'readFormat = obspy.io.ndk.core:_read_ndk',\n ],\n 'obspy.plugin.event.NLLOC_HYP': [\n 'isFormat = obspy.io.nlloc.core:is_nlloc_hyp',\n 'readFormat = obspy.io.nlloc.core:read_nlloc_hyp',\n ],\n 'obspy.plugin.event.NLLOC_OBS': [\n 'writeFormat = obspy.io.nlloc.core:write_nlloc_obs',\n ],\n 'obspy.plugin.event.NORDIC': [\n 'writeFormat = obspy.io.nordic.core:write_select',\n 'readFormat = obspy.io.nordic.core:read_nordic',\n 'isFormat = obspy.io.nordic.core:_is_sfile'\n ],\n 'obspy.plugin.event.CMTSOLUTION': [\n 'isFormat = obspy.io.cmtsolution.core:_is_cmtsolution',\n 'readFormat = obspy.io.cmtsolution.core:_read_cmtsolution',\n 'writeFormat = obspy.io.cmtsolution.core:_write_cmtsolution'\n ],\n 'obspy.plugin.event.SCARDEC': [\n 'isFormat = obspy.io.scardec.core:_is_scardec',\n 'readFormat = obspy.io.scardec.core:_read_scardec',\n 'writeFormat = obspy.io.scardec.core:_write_scardec'\n ],\n 'obspy.plugin.event.FNETMT': [\n 'isFormat = obspy.io.nied.fnetmt:_is_fnetmt_catalog',\n 'readFormat = obspy.io.nied.fnetmt:_read_fnetmt_catalog',\n ],\n 'obspy.plugin.event.GSE2': [\n 'isFormat = obspy.io.gse2.bulletin:_is_gse2',\n 'readFormat = obspy.io.gse2.bulletin:_read_gse2',\n ],\n 'obspy.plugin.event.SHAPEFILE': [\n 'writeFormat = obspy.io.shapefile.core:_write_shapefile',\n ],\n 'obspy.plugin.event.KML': [\n 'writeFormat = obspy.io.kml.core:_write_kml',\n ],\n 'obspy.plugin.event.IMS10BULLETIN': [\n 'isFormat = obspy.io.iaspei.core:_is_ims10_bulletin',\n 'readFormat = obspy.io.iaspei.core:_read_ims10_bulletin',\n ],\n 'obspy.plugin.event.EVT': [\n 'isFormat = obspy.io.sh.evt:_is_evt',\n 'readFormat = obspy.io.sh.evt:_read_evt',\n ],\n 'obspy.plugin.event.FOCMEC': [\n 'isFormat = obspy.io.focmec.core:_is_focmec',\n 'readFormat = obspy.io.focmec.core:_read_focmec',\n ],\n 'obspy.plugin.event.HYPODDPHA': [\n 'isFormat = obspy.io.hypodd.pha:_is_pha',\n 'readFormat = obspy.io.hypodd.pha:_read_pha',\n ],\n 'obspy.plugin.inventory': [\n 'STATIONXML = obspy.io.stationxml.core',\n 'INVENTORYXML = obspy.io.arclink.inventory',\n 'SC3ML = obspy.io.seiscomp.inventory',\n 'SACPZ = obspy.io.sac.sacpz',\n 'CSS = obspy.io.css.station',\n 'SHAPEFILE = obspy.io.shapefile.core',\n 'STATIONTXT = obspy.io.stationtxt.core',\n 'KML = obspy.io.kml.core',\n 'SEED = obspy.io.xseed.core',\n 'XSEED = obspy.io.xseed.core',\n 'RESP = obspy.io.xseed.core',\n ],\n 'obspy.plugin.inventory.STATIONXML': [\n 'isFormat = obspy.io.stationxml.core:_is_stationxml',\n 'readFormat = obspy.io.stationxml.core:_read_stationxml',\n 'writeFormat = obspy.io.stationxml.core:_write_stationxml',\n ],\n 'obspy.plugin.inventory.INVENTORYXML': [\n 'isFormat = obspy.io.arclink.inventory:_is_inventory_xml',\n 'readFormat = obspy.io.arclink.inventory:_read_inventory_xml',\n ],\n 'obspy.plugin.inventory.SC3ML': [\n 'isFormat = obspy.io.seiscomp.core:_is_sc3ml',\n 'readFormat = obspy.io.seiscomp.inventory:_read_sc3ml',\n ],\n 'obspy.plugin.inventory.SACPZ': [\n 'writeFormat = obspy.io.sac.sacpz:_write_sacpz',\n ],\n 'obspy.plugin.inventory.CSS': [\n 'writeFormat = obspy.io.css.station:_write_css',\n ],\n 'obspy.plugin.inventory.SHAPEFILE': [\n 'writeFormat = obspy.io.shapefile.core:_write_shapefile',\n ],\n 'obspy.plugin.inventory.STATIONTXT': [\n 'isFormat = obspy.io.stationtxt.core:is_fdsn_station_text_file',\n 'readFormat = '\n 'obspy.io.stationtxt.core:read_fdsn_station_text_file',\n 'writeFormat = obspy.io.stationtxt.core:_write_stationtxt',\n ],\n 'obspy.plugin.inventory.KML': [\n 'writeFormat = obspy.io.kml.core:_write_kml',\n ],\n 'obspy.plugin.inventory.SEED': [\n 'isFormat = obspy.io.xseed.core:_is_seed',\n 'readFormat = obspy.io.xseed.core:_read_seed',\n ],\n 'obspy.plugin.inventory.XSEED': [\n 'isFormat = obspy.io.xseed.core:_is_xseed',\n 'readFormat = obspy.io.xseed.core:_read_xseed',\n ],\n 'obspy.plugin.inventory.RESP': [\n 'isFormat = obspy.io.xseed.core:_is_resp',\n 'readFormat = obspy.io.xseed.core:_read_resp',\n ],\n 'obspy.plugin.detrend': [\n 'linear = scipy.signal:detrend',\n 'constant = scipy.signal:detrend',\n 'demean = scipy.signal:detrend',\n 'simple = obspy.signal.detrend:simple',\n 'polynomial = obspy.signal.detrend:polynomial',\n 'spline = obspy.signal.detrend:spline'\n ],\n 'obspy.plugin.differentiate': [\n 'gradient = numpy:gradient',\n ],\n 'obspy.plugin.integrate': [\n 'cumtrapz = '\n 'obspy.signal.differentiate_and_integrate:integrate_cumtrapz',\n 'spline = '\n 'obspy.signal.differentiate_and_integrate:integrate_spline',\n ],\n 'obspy.plugin.filter': [\n 'bandpass = obspy.signal.filter:bandpass',\n 'bandstop = obspy.signal.filter:bandstop',\n 'lowpass = obspy.signal.filter:lowpass',\n 'highpass = obspy.signal.filter:highpass',\n 'lowpass_cheby_2 = obspy.signal.filter:lowpass_cheby_2',\n 'lowpass_fir = obspy.signal.filter:lowpass_FIR',\n 'remez_fir = obspy.signal.filter:remez_FIR',\n ],\n 'obspy.plugin.interpolate': [\n 'interpolate_1d = obspy.signal.interpolation:interpolate_1d',\n 'weighted_average_slopes = '\n 'obspy.signal.interpolation:weighted_average_slopes',\n 'lanczos = obspy.signal.interpolation:lanczos_interpolation'\n ],\n 'obspy.plugin.rotate': [\n 'rotate_ne_rt = obspy.signal.rotate:rotate_ne_rt',\n 'rotate_rt_ne = obspy.signal.rotate:rotate_rt_ne',\n 'rotate_zne_lqt = obspy.signal.rotate:rotate_zne_lqt',\n 'rotate_lqt_zne = obspy.signal.rotate:rotate_lqt_zne'\n ],\n 'obspy.plugin.taper': [\n 'cosine = obspy.signal.invsim:cosine_taper',\n 'barthann = scipy.signal:barthann',\n 'bartlett = scipy.signal:bartlett',\n 'blackman = scipy.signal:blackman',\n 'blackmanharris = scipy.signal:blackmanharris',\n 'bohman = scipy.signal:bohman',\n 'boxcar = scipy.signal:boxcar',\n 'chebwin = scipy.signal:chebwin',\n 'flattop = scipy.signal:flattop',\n 'gaussian = scipy.signal:gaussian',\n 'general_gaussian = scipy.signal:general_gaussian',\n 'hamming = scipy.signal:hamming',\n 'hann = scipy.signal:hann',\n 'kaiser = scipy.signal:kaiser',\n 'nuttall = scipy.signal:nuttall',\n 'parzen = scipy.signal:parzen',\n 'slepian = scipy.signal:slepian',\n 'triang = scipy.signal:triang',\n ],\n 'obspy.plugin.trigger': [\n 'recstalta = obspy.signal.trigger:recursive_sta_lta',\n 'carlstatrig = obspy.signal.trigger:carl_sta_trig',\n 'classicstalta = obspy.signal.trigger:classic_sta_lta',\n 'delayedstalta = obspy.signal.trigger:delayed_sta_lta',\n 'zdetect = obspy.signal.trigger:z_detect',\n 'recstaltapy = obspy.signal.trigger:recursive_sta_lta_py',\n 'classicstaltapy = obspy.signal.trigger:classic_sta_lta_py',\n ],\n 'obspy.db.feature': [\n 'minmax_amplitude = obspy.db.feature:MinMaxAmplitudeFeature',\n 'bandpass_preview = obspy.db.feature:BandpassPreviewFeature',\n ],\n }\n\n\ndef find_packages():\n \"\"\"\n Simple function to find all modules under the current folder.\n \"\"\"\n modules = []\n for dirpath, _, filenames in os.walk(os.path.join(SETUP_DIRECTORY,\n \"obspy\")):\n if \"__init__.py\" in filenames:\n modules.append(os.path.relpath(dirpath, SETUP_DIRECTORY))\n return [_i.replace(os.sep, \".\") for _i in modules]\n\n\n# monkey patches for MS Visual Studio\nif IS_MSVC:\n # remove 'init' entry in exported symbols\n def _get_export_symbols(self, ext):\n return ext.export_symbols\n from distutils.command.build_ext import build_ext\n build_ext.get_export_symbols = _get_export_symbols\n\n\n# helper function for collecting export symbols from .def files\ndef export_symbols(*path):\n lines = open(os.path.join(*path), 'r').readlines()[2:]\n return [s.strip() for s in lines if s.strip() != '']\n\n\n# adds --with-system-libs command-line option if possible\ndef add_features():\n if 'setuptools' not in sys.modules or not hasattr(setuptools, 'Feature'):\n return {}\n\n class ExternalLibFeature(setuptools.Feature):\n def __init__(self, *args, **kwargs):\n self.name = kwargs['name']\n setuptools.Feature.__init__(self, *args, **kwargs)\n\n def include_in(self, dist):\n globals()[self.name] = True\n\n def exclude_from(self, dist):\n globals()[self.name] = False\n\n return {\n 'system-libs': setuptools.Feature(\n 'use of system C libraries',\n standard=False,\n require_features=('system-evalresp', 'system-libmseed')\n ),\n 'system-evalresp': ExternalLibFeature(\n 'use of system evalresp library',\n standard=False,\n name='EXTERNAL_EVALRESP'\n ),\n 'system-libmseed': ExternalLibFeature(\n 'use of system libmseed library',\n standard=False,\n name='EXTERNAL_LIBMSEED'\n )\n }\n\n\ndef configuration(parent_package=\"\", top_path=None):\n \"\"\"\n Config function mainly used to compile C code.\n \"\"\"\n config = Configuration(\"\", parent_package, top_path)\n\n # GSE2\n path = os.path.join(\"obspy\", \"io\", \"gse2\", \"src\", \"GSE_UTI\")\n files = [os.path.join(path, \"gse_functions.c\")]\n # compiler specific options\n kwargs = {}\n if IS_MSVC:\n # get export symbols\n kwargs['export_symbols'] = export_symbols(path, 'gse_functions.def')\n config.add_extension(_get_lib_name(\"gse2\", add_extension_suffix=False),\n files, **kwargs)\n\n # LIBMSEED\n path = os.path.join(\"obspy\", \"io\", \"mseed\", \"src\")\n files = [os.path.join(path, \"obspy-readbuffer.c\")]\n if not EXTERNAL_LIBMSEED:\n files += glob.glob(os.path.join(path, \"libmseed\", \"*.c\"))\n # compiler specific options\n kwargs = {}\n if IS_MSVC:\n # needed by libmseed lmplatform.h\n kwargs['define_macros'] = [('WIN32', '1')]\n # get export symbols\n kwargs['export_symbols'] = \\\n export_symbols(path, 'libmseed', 'libmseed.def')\n kwargs['export_symbols'] += \\\n export_symbols(path, 'obspy-readbuffer.def')\n if EXTERNAL_LIBMSEED:\n kwargs['libraries'] = ['mseed']\n config.add_extension(_get_lib_name(\"mseed\", add_extension_suffix=False),\n files, **kwargs)\n\n # SEGY\n path = os.path.join(\"obspy\", \"io\", \"segy\", \"src\")\n files = [os.path.join(path, \"ibm2ieee.c\")]\n # compiler specific options\n kwargs = {}\n if IS_MSVC:\n # get export symbols\n kwargs['export_symbols'] = export_symbols(path, 'libsegy.def')\n config.add_extension(_get_lib_name(\"segy\", add_extension_suffix=False),\n files, **kwargs)\n\n # SIGNAL\n path = os.path.join(\"obspy\", \"signal\", \"src\")\n files = glob.glob(os.path.join(path, \"*.c\"))\n # compiler specific options\n kwargs = {}\n if IS_MSVC:\n # get export symbols\n kwargs['export_symbols'] = export_symbols(path, 'libsignal.def')\n config.add_extension(_get_lib_name(\"signal\", add_extension_suffix=False),\n files, **kwargs)\n\n # EVALRESP\n path = os.path.join(\"obspy\", \"signal\", \"src\")\n if EXTERNAL_EVALRESP:\n files = glob.glob(os.path.join(path, \"evalresp\", \"_obspy*.c\"))\n else:\n files = glob.glob(os.path.join(path, \"evalresp\", \"*.c\"))\n # compiler specific options\n kwargs = {}\n if IS_MSVC:\n # needed by evalresp evresp.h\n kwargs['define_macros'] = [('WIN32', '1')]\n # get export symbols\n kwargs['export_symbols'] = export_symbols(path, 'libevresp.def')\n if EXTERNAL_EVALRESP:\n kwargs['libraries'] = ['evresp']\n config.add_extension(_get_lib_name(\"evresp\", add_extension_suffix=False),\n files, **kwargs)\n\n # TAU\n path = os.path.join(\"obspy\", \"taup\", \"src\")\n files = [os.path.join(path, \"inner_tau_loops.c\")]\n # compiler specific options\n kwargs = {}\n if IS_MSVC:\n # get export symbols\n kwargs['export_symbols'] = export_symbols(path, 'libtau.def')\n config.add_extension(_get_lib_name(\"tau\", add_extension_suffix=False),\n files, **kwargs)\n\n add_data_files(config)\n\n return config\n\n\ndef add_data_files(config):\n \"\"\"\n Recursively include all non python files\n \"\"\"\n # python files are included per default, we only include data files\n # here\n EXCLUDE_WILDCARDS = ['*.py', '*.pyc', '*.pyo', '*.pdf', '.git*']\n EXCLUDE_DIRS = ['src', '__pycache__']\n common_prefix = SETUP_DIRECTORY + os.path.sep\n for root, dirs, files in os.walk(os.path.join(SETUP_DIRECTORY, 'obspy')):\n root = root.replace(common_prefix, '')\n for name in files:\n if any(fnmatch.fnmatch(name, w) for w in EXCLUDE_WILDCARDS):\n continue\n config.add_data_files(os.path.join(root, name))\n for folder in EXCLUDE_DIRS:\n if folder in dirs:\n dirs.remove(folder)\n\n # Force include the contents of some directories.\n FORCE_INCLUDE_DIRS = [\n os.path.join(SETUP_DIRECTORY, 'obspy', 'io', 'mseed', 'src',\n 'libmseed', 'test')]\n\n for folder in FORCE_INCLUDE_DIRS:\n for root, _, files in os.walk(folder):\n for filename in files:\n config.add_data_files(\n os.path.relpath(os.path.join(root, filename),\n SETUP_DIRECTORY))\n\n\n# Auto-generate man pages from --help output\nclass Help2ManBuild(build):\n description = \"Run help2man on scripts to produce man pages\"\n\n def finalize_options(self):\n build.finalize_options(self)\n self.help2man = find_executable('help2man')\n if not self.help2man:\n raise DistutilsSetupError('Building man pages requires help2man.')\n\n def run(self):\n mandir = os.path.join(self.build_base, 'man')\n self.mkpath(mandir)\n\n from pkg_resources import EntryPoint\n for entrypoint in ENTRY_POINTS['console_scripts']:\n ep = EntryPoint.parse(entrypoint)\n if not ep.module_name.startswith('obspy'):\n continue\n\n output = os.path.join(mandir, ep.name + '.1')\n print('Generating %s ...' % (output))\n exec_command([self.help2man,\n '--no-info', '--no-discard-stderr',\n '--output', output,\n '\"%s -m %s\"' % (sys.executable,\n ep.module_name)])\n\n\nclass Help2ManInstall(install):\n description = 'Install man pages generated by help2man'\n user_options = install.user_options + [\n ('manprefix=', None, 'MAN Prefix Path')\n ]\n\n def initialize_options(self):\n self.manprefix = None\n install.initialize_options(self)\n\n def finalize_options(self):\n if self.manprefix is None:\n self.manprefix = os.path.join('share', 'man')\n install.finalize_options(self)\n\n def run(self):\n if not self.skip_build:\n self.run_command('build_man')\n\n srcdir = os.path.join(self.build_base, 'man')\n mandir = os.path.join(self.install_base, self.manprefix, 'man1')\n if self.root is not None:\n mandir = change_root(self.root, mandir)\n self.mkpath(mandir)\n self.copy_tree(srcdir, mandir)\n\n\ndef setupPackage():\n # setup package\n setup(\n name='obspy',\n version=get_git_version(),\n description=DOCSTRING[1],\n long_description=\"\\n\".join(DOCSTRING[3:]),\n url=\"https://www.obspy.org\",\n author='The ObsPy Development Team',\n author_email='devs@obspy.org',\n license='GNU Lesser General Public License, Version 3 (LGPLv3)',\n platforms='OS Independent',\n classifiers=[\n 'Development Status :: 5 - Production/Stable',\n 'Environment :: Console',\n 'Intended Audience :: Science/Research',\n 'Intended Audience :: Developers',\n 'License :: OSI Approved :: GNU Library or ' +\n 'Lesser General Public License (LGPL)',\n 'Operating System :: OS Independent',\n 'Programming Language :: Python',\n 'Programming Language :: Python :: 3',\n 'Programming Language :: Python :: 3.7',\n 'Programming Language :: Python :: 3.8',\n 'Topic :: Scientific/Engineering',\n 'Topic :: Scientific/Engineering :: Physics'],\n keywords=KEYWORDS,\n packages=find_packages(),\n namespace_packages=[],\n zip_safe=False,\n python_requires=f'>={MIN_PYTHON_VERSION[0]}.{MIN_PYTHON_VERSION[1]}',\n install_requires=INSTALL_REQUIRES,\n extras_require=EXTRAS_REQUIRE,\n features=add_features(),\n # this is needed for \"easy_install obspy==dev\"\n download_url=(\"https://github.com/obspy/obspy/zipball/master\"\n \"#egg=obspy=dev\"),\n include_package_data=True,\n entry_points=ENTRY_POINTS,\n ext_package='obspy.lib',\n cmdclass={\n 'build_man': Help2ManBuild,\n 'install_man': Help2ManInstall\n },\n configuration=configuration)\n\n\nif __name__ == '__main__':\n # clean --all does not remove extensions automatically\n if 'clean' in sys.argv and '--all' in sys.argv:\n import shutil\n # delete complete build directory\n path = os.path.join(SETUP_DIRECTORY, 'build')\n try:\n shutil.rmtree(path)\n except Exception:\n pass\n # delete all shared libs from lib directory\n path = os.path.join(SETUP_DIRECTORY, 'obspy', 'lib')\n for filename in glob.glob(path + os.sep + '*.pyd'):\n try:\n os.remove(filename)\n except Exception:\n pass\n for filename in glob.glob(path + os.sep + '*.so'):\n try:\n os.remove(filename)\n except Exception:\n pass\n path = os.path.join(SETUP_DIRECTORY, 'obspy', 'taup', 'data', 'models')\n try:\n shutil.rmtree(path)\n except Exception:\n pass\n else:\n setupPackage()\n","path":"setup.py"}],"string":"[\n {\n \"content\": \"#! /usr/bin/env python\\n# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nObsPy - a Python framework for seismological observatories.\\n\\nObsPy is an open-source project dedicated to provide a Python framework for\\nprocessing seismological data. It provides parsers for common file formats,\\nclients to access data centers and seismological signal processing routines\\nwhich allow the manipulation of seismological time series (see Beyreuther et\\nal. 2010, Megies et al. 2011).\\n\\nThe goal of the ObsPy project is to facilitate rapid application development\\nfor seismology.\\n\\nFor more information visit https://www.obspy.org.\\n\\n:copyright:\\n The ObsPy Development Team (devs@obspy.org)\\n:license:\\n GNU Lesser General Public License, Version 3\\n (https://www.gnu.org/copyleft/lesser.html)\\n\\\"\\\"\\\"\\n# Importing setuptools monkeypatches some of distutils commands so things like\\n# 'python setup.py develop' work. Wrap in try/except so it is not an actual\\n# dependency. Inplace installation with pip works also without importing\\n# setuptools.\\ntry:\\n import setuptools # @UnusedImport # NOQA\\nexcept ImportError:\\n pass\\n\\ntry:\\n import numpy # @UnusedImport # NOQA\\nexcept ImportError:\\n msg = (\\\"No module named numpy. \\\"\\n \\\"Please install numpy first, it is needed before installing ObsPy.\\\")\\n raise ImportError(msg)\\n\\nimport fnmatch\\nimport glob\\nimport inspect\\nimport os\\nimport sys\\nimport platform\\nfrom distutils.util import change_root\\nfrom distutils.errors import DistutilsSetupError\\n\\nfrom numpy.distutils.core import setup\\nfrom numpy.distutils.ccompiler import get_default_compiler\\nfrom numpy.distutils.command.build import build\\nfrom numpy.distutils.command.install import install\\nfrom numpy.distutils.exec_command import exec_command, find_executable\\nfrom numpy.distutils.misc_util import Configuration\\n\\n\\n# The minimum python version which can be used to run ObsPy\\nMIN_PYTHON_VERSION = (3, 6)\\n\\n# Fail fast if the user is on an unsupported version of python.\\nif sys.version_info < MIN_PYTHON_VERSION:\\n msg = (\\\"ObsPy requires python version >= {}\\\".format(MIN_PYTHON_VERSION) +\\n \\\" you are using python version {}\\\".format(sys.version_info))\\n print(msg, file=sys.stderr)\\n sys.exit(1)\\n\\n# Directory of the current file in the (hopefully) most reliable way\\n# possible, according to krischer\\nSETUP_DIRECTORY = os.path.dirname(os.path.abspath(inspect.getfile(\\n inspect.currentframe())))\\n\\n# Import the version string.\\n# Any .py files that are used at install time must be registered in\\n# obspy.core.tests.test_util_misc.UtilMiscTestCase.test_no_obspy_imports!\\nUTIL_PATH = os.path.join(SETUP_DIRECTORY, \\\"obspy\\\", \\\"core\\\", \\\"util\\\")\\nsys.path.insert(0, UTIL_PATH)\\nfrom version import get_git_version # @UnresolvedImport\\nfrom libnames import _get_lib_name # @UnresolvedImport\\nsys.path.pop(0)\\n\\nLOCAL_PATH = os.path.join(SETUP_DIRECTORY, \\\"setup.py\\\")\\nDOCSTRING = __doc__.split(\\\"\\\\n\\\")\\n\\n# check for MSVC\\nif platform.system() == \\\"Windows\\\" and (\\n 'msvc' in sys.argv or\\n '-c' not in sys.argv and\\n get_default_compiler() == 'msvc'):\\n IS_MSVC = True\\nelse:\\n IS_MSVC = False\\n\\n# Use system libraries? Set later...\\nEXTERNAL_EVALRESP = False\\nEXTERNAL_LIBMSEED = False\\n\\n# package specific settings\\nKEYWORDS = [\\n 'ArcLink', 'array', 'array analysis', 'ASC', 'beachball',\\n 'beamforming', 'cross correlation', 'database', 'dataless',\\n 'Dataless SEED', 'DMX', 'earthquakes', 'Earthworm', 'EIDA',\\n 'envelope', 'ESRI', 'events', 'FDSN', 'features', 'filter',\\n 'focal mechanism', 'FOCMEC', 'GCF', 'GSE1', 'GSE2', 'hob', 'Tau-P',\\n 'IASPEI', 'imaging', 'IMS', 'instrument correction',\\n 'instrument simulation', 'IRIS', 'ISF', 'kinemetrics', 'KML', 'magnitude',\\n 'MiniSEED', 'misfit', 'mopad', 'MSEED', 'NDK', 'NERA', 'NERIES',\\n 'NonLinLoc', 'NLLOC', 'Nordic', 'NRL', 'observatory', 'ORFEUS', 'PDAS',\\n 'picker', 'processing', 'PQLX', 'Q', 'real time', 'realtime', 'REFTEK',\\n 'REFTEK130', 'RG-1.6', 'RT-130', 'RESP', 'response file', 'RT', 'SAC',\\n 'scardec', 'sc3ml', 'SDS', 'SEED', 'SeedLink', 'SEG-2', 'SEG Y', 'SEISAN',\\n 'SeisHub', 'Seismic Handler', 'seismology', 'seismogram', 'seismograms',\\n 'shapefile', 'signal', 'slink', 'spectrogram', 'StationXML', 'taper',\\n 'taup', 'travel time', 'trigger', 'VERCE', 'WAV', 'waveform', 'WaveServer',\\n 'WaveServerV', 'WebDC', 'web service', 'WIN', 'Winston', 'XML-SEED',\\n 'XSEED']\\n\\n# when bumping to numpy 1.9.0: replace bytes() in io.reftek with np.tobytes()\\n# and in obspy/io/mseed/core.py change downcasting check to numpy.can_cast()\\n# when bumping to numpy 1.7.0: get rid of if/else when loading npz file to PPSD\\n# and get rid of helper function _np_copy_astype() in obspy/io/mseed/core.py\\nINSTALL_REQUIRES = [\\n 'numpy>=1.15.0',\\n 'scipy>=1.0.0',\\n 'matplotlib>=3.2.0',\\n 'lxml',\\n 'setuptools',\\n 'sqlalchemy',\\n 'decorator',\\n 'requests']\\nEXTRAS_REQUIRE = {\\n 'tests': ['flake8>=2', 'pyimgur', 'pyproj', 'pep8-naming'],\\n # arclink decryption also works with: pycrypto, m2crypto, pycryptodome\\n 'arclink': ['cryptography'],\\n 'io.shapefile': ['pyshp'],\\n }\\n\\nENTRY_POINTS = {\\n 'console_scripts': [\\n 'obspy-flinn-engdahl = obspy.scripts.flinnengdahl:main',\\n 'obspy-runtests = obspy.scripts.runtests:main',\\n 'obspy-reftek-rescue = obspy.scripts.reftekrescue:main',\\n 'obspy-print = obspy.scripts._print:main',\\n 'obspy-sds-report = obspy.scripts.sds_html_report:main',\\n 'obspy-indexer = obspy.db.scripts.indexer:main',\\n 'obspy-scan = obspy.imaging.scripts.scan:main',\\n 'obspy-plot = obspy.imaging.scripts.plot:main',\\n 'obspy-mopad = obspy.imaging.scripts.mopad:main',\\n 'obspy-mseed-recordanalyzer = '\\n 'obspy.io.mseed.scripts.recordanalyzer:main',\\n 'obspy-dataless2xseed = obspy.io.xseed.scripts.dataless2xseed:main',\\n 'obspy-xseed2dataless = obspy.io.xseed.scripts.xseed2dataless:main',\\n 'obspy-dataless2resp = obspy.io.xseed.scripts.dataless2resp:main',\\n ],\\n 'obspy.plugin.waveform': [\\n 'TSPAIR = obspy.io.ascii.core',\\n 'SLIST = obspy.io.ascii.core',\\n 'PICKLE = obspy.core.stream',\\n 'CSS = obspy.io.css.core',\\n 'WIN = obspy.io.win.core',\\n 'KINEMETRICS_EVT = obspy.io.kinemetrics.core',\\n 'GSE1 = obspy.io.gse2.core',\\n 'GSE2 = obspy.io.gse2.core',\\n 'MSEED = obspy.io.mseed.core',\\n 'NNSA_KB_CORE = obspy.io.css.core',\\n 'PDAS = obspy.io.pdas.core',\\n 'SAC = obspy.io.sac.core',\\n 'SACXY = obspy.io.sac.core',\\n 'Y = obspy.io.y.core',\\n 'SEG2 = obspy.io.seg2.seg2',\\n 'SEGY = obspy.io.segy.core',\\n 'SU = obspy.io.segy.core',\\n 'SEISAN = obspy.io.seisan.core',\\n 'Q = obspy.io.sh.core',\\n 'SH_ASC = obspy.io.sh.core',\\n 'WAV = obspy.io.wav.core',\\n 'AH = obspy.io.ah.core',\\n 'KNET = obspy.io.nied.knet',\\n 'GCF = obspy.io.gcf.core',\\n 'REFTEK130 = obspy.io.reftek.core',\\n 'RG16 = obspy.io.rg16.core',\\n 'DMX = obspy.io.dmx.core',\\n ],\\n 'obspy.plugin.waveform.TSPAIR': [\\n 'isFormat = obspy.io.ascii.core:_is_tspair',\\n 'readFormat = obspy.io.ascii.core:_read_tspair',\\n 'writeFormat = obspy.io.ascii.core:_write_tspair',\\n ],\\n 'obspy.plugin.waveform.SLIST': [\\n 'isFormat = obspy.io.ascii.core:_is_slist',\\n 'readFormat = obspy.io.ascii.core:_read_slist',\\n 'writeFormat = obspy.io.ascii.core:_write_slist',\\n ],\\n 'obspy.plugin.waveform.PICKLE': [\\n 'isFormat = obspy.core.stream:_is_pickle',\\n 'readFormat = obspy.core.stream:_read_pickle',\\n 'writeFormat = obspy.core.stream:_write_pickle',\\n ],\\n 'obspy.plugin.waveform.CSS': [\\n 'isFormat = obspy.io.css.core:_is_css',\\n 'readFormat = obspy.io.css.core:_read_css',\\n ],\\n 'obspy.plugin.waveform.NNSA_KB_CORE': [\\n 'isFormat = obspy.io.css.core:_is_nnsa_kb_core',\\n 'readFormat = obspy.io.css.core:_read_nnsa_kb_core',\\n ],\\n 'obspy.plugin.waveform.WIN': [\\n 'isFormat = obspy.io.win.core:_is_win',\\n 'readFormat = obspy.io.win.core:_read_win',\\n ],\\n 'obspy.plugin.waveform.KINEMETRICS_EVT': [\\n 'isFormat = obspy.io.kinemetrics.core:is_evt',\\n 'readFormat = obspy.io.kinemetrics.core:read_evt',\\n ],\\n 'obspy.plugin.waveform.GSE1': [\\n 'isFormat = obspy.io.gse2.core:_is_gse1',\\n 'readFormat = obspy.io.gse2.core:_read_gse1',\\n ],\\n 'obspy.plugin.waveform.GSE2': [\\n 'isFormat = obspy.io.gse2.core:_is_gse2',\\n 'readFormat = obspy.io.gse2.core:_read_gse2',\\n 'writeFormat = obspy.io.gse2.core:_write_gse2',\\n ],\\n 'obspy.plugin.waveform.MSEED': [\\n 'isFormat = obspy.io.mseed.core:_is_mseed',\\n 'readFormat = obspy.io.mseed.core:_read_mseed',\\n 'writeFormat = obspy.io.mseed.core:_write_mseed',\\n ],\\n 'obspy.plugin.waveform.PDAS': [\\n 'isFormat = obspy.io.pdas.core:_is_pdas',\\n 'readFormat = obspy.io.pdas.core:_read_pdas',\\n ],\\n 'obspy.plugin.waveform.SAC': [\\n 'isFormat = obspy.io.sac.core:_is_sac',\\n 'readFormat = obspy.io.sac.core:_read_sac',\\n 'writeFormat = obspy.io.sac.core:_write_sac',\\n ],\\n 'obspy.plugin.waveform.SACXY': [\\n 'isFormat = obspy.io.sac.core:_is_sac_xy',\\n 'readFormat = obspy.io.sac.core:_read_sac_xy',\\n 'writeFormat = obspy.io.sac.core:_write_sac_xy',\\n ],\\n 'obspy.plugin.waveform.SEG2': [\\n 'isFormat = obspy.io.seg2.seg2:_is_seg2',\\n 'readFormat = obspy.io.seg2.seg2:_read_seg2',\\n ],\\n 'obspy.plugin.waveform.SEGY': [\\n 'isFormat = obspy.io.segy.core:_is_segy',\\n 'readFormat = obspy.io.segy.core:_read_segy',\\n 'writeFormat = obspy.io.segy.core:_write_segy',\\n ],\\n 'obspy.plugin.waveform.SU': [\\n 'isFormat = obspy.io.segy.core:_is_su',\\n 'readFormat = obspy.io.segy.core:_read_su',\\n 'writeFormat = obspy.io.segy.core:_write_su',\\n ],\\n 'obspy.plugin.waveform.SEISAN': [\\n 'isFormat = obspy.io.seisan.core:_is_seisan',\\n 'readFormat = obspy.io.seisan.core:_read_seisan',\\n ],\\n 'obspy.plugin.waveform.Q': [\\n 'isFormat = obspy.io.sh.core:_is_q',\\n 'readFormat = obspy.io.sh.core:_read_q',\\n 'writeFormat = obspy.io.sh.core:_write_q',\\n ],\\n 'obspy.plugin.waveform.SH_ASC': [\\n 'isFormat = obspy.io.sh.core:_is_asc',\\n 'readFormat = obspy.io.sh.core:_read_asc',\\n 'writeFormat = obspy.io.sh.core:_write_asc',\\n ],\\n 'obspy.plugin.waveform.WAV': [\\n 'isFormat = obspy.io.wav.core:_is_wav',\\n 'readFormat = obspy.io.wav.core:_read_wav',\\n 'writeFormat = obspy.io.wav.core:_write_wav',\\n ],\\n 'obspy.plugin.waveform.Y': [\\n 'isFormat = obspy.io.y.core:_is_y',\\n 'readFormat = obspy.io.y.core:_read_y',\\n ],\\n 'obspy.plugin.waveform.AH': [\\n 'isFormat = obspy.io.ah.core:_is_ah',\\n 'readFormat = obspy.io.ah.core:_read_ah',\\n 'writeFormat = obspy.io.ah.core:_write_ah1'\\n ],\\n 'obspy.plugin.waveform.KNET': [\\n 'isFormat = obspy.io.nied.knet:_is_knet_ascii',\\n 'readFormat = obspy.io.nied.knet:_read_knet_ascii',\\n ],\\n 'obspy.plugin.waveform.GCF': [\\n 'isFormat = obspy.io.gcf.core:_is_gcf',\\n 'readFormat = obspy.io.gcf.core:_read_gcf',\\n ],\\n 'obspy.plugin.waveform.REFTEK130': [\\n 'isFormat = obspy.io.reftek.core:_is_reftek130',\\n 'readFormat = obspy.io.reftek.core:_read_reftek130',\\n ],\\n 'obspy.plugin.waveform.RG16': [\\n 'isFormat = obspy.io.rg16.core:_is_rg16',\\n 'readFormat = obspy.io.rg16.core:_read_rg16',\\n ],\\n 'obspy.plugin.waveform.DMX': [\\n 'isFormat = obspy.io.dmx.core:_is_dmx',\\n 'readFormat = obspy.io.dmx.core:_read_dmx',\\n ],\\n 'obspy.plugin.event': [\\n 'QUAKEML = obspy.io.quakeml.core',\\n 'SC3ML = obspy.io.seiscomp.event',\\n 'ZMAP = obspy.io.zmap.core',\\n 'MCHEDR = obspy.io.pde.mchedr',\\n 'JSON = obspy.io.json.core',\\n 'NDK = obspy.io.ndk.core',\\n 'NLLOC_HYP = obspy.io.nlloc.core',\\n 'NLLOC_OBS = obspy.io.nlloc.core',\\n 'NORDIC = obspy.io.nordic.core',\\n 'CNV = obspy.io.cnv.core',\\n 'CMTSOLUTION = obspy.io.cmtsolution.core',\\n 'SCARDEC = obspy.io.scardec.core',\\n 'SHAPEFILE = obspy.io.shapefile.core',\\n 'KML = obspy.io.kml.core',\\n 'FNETMT = obspy.io.nied.fnetmt',\\n 'GSE2 = obspy.io.gse2.bulletin',\\n 'IMS10BULLETIN = obspy.io.iaspei.core',\\n 'EVT = obspy.io.sh.evt',\\n 'FOCMEC = obspy.io.focmec.core',\\n 'HYPODDPHA = obspy.io.hypodd.pha'\\n ],\\n 'obspy.plugin.event.QUAKEML': [\\n 'isFormat = obspy.io.quakeml.core:_is_quakeml',\\n 'readFormat = obspy.io.quakeml.core:_read_quakeml',\\n 'writeFormat = obspy.io.quakeml.core:_write_quakeml',\\n ],\\n 'obspy.plugin.event.SC3ML': [\\n 'isFormat = obspy.io.seiscomp.core:_is_sc3ml',\\n 'readFormat = obspy.io.seiscomp.event:_read_sc3ml',\\n 'writeFormat = obspy.io.seiscomp.event:_write_sc3ml',\\n ],\\n 'obspy.plugin.event.MCHEDR': [\\n 'isFormat = obspy.io.pde.mchedr:_is_mchedr',\\n 'readFormat = obspy.io.pde.mchedr:_read_mchedr',\\n ],\\n 'obspy.plugin.event.JSON': [\\n 'writeFormat = obspy.io.json.core:_write_json',\\n ],\\n 'obspy.plugin.event.ZMAP': [\\n 'isFormat = obspy.io.zmap.core:_is_zmap',\\n 'readFormat = obspy.io.zmap.core:_read_zmap',\\n 'writeFormat = obspy.io.zmap.core:_write_zmap',\\n ],\\n 'obspy.plugin.event.CNV': [\\n 'writeFormat = obspy.io.cnv.core:_write_cnv',\\n ],\\n 'obspy.plugin.event.NDK': [\\n 'isFormat = obspy.io.ndk.core:_is_ndk',\\n 'readFormat = obspy.io.ndk.core:_read_ndk',\\n ],\\n 'obspy.plugin.event.NLLOC_HYP': [\\n 'isFormat = obspy.io.nlloc.core:is_nlloc_hyp',\\n 'readFormat = obspy.io.nlloc.core:read_nlloc_hyp',\\n ],\\n 'obspy.plugin.event.NLLOC_OBS': [\\n 'writeFormat = obspy.io.nlloc.core:write_nlloc_obs',\\n ],\\n 'obspy.plugin.event.NORDIC': [\\n 'writeFormat = obspy.io.nordic.core:write_select',\\n 'readFormat = obspy.io.nordic.core:read_nordic',\\n 'isFormat = obspy.io.nordic.core:_is_sfile'\\n ],\\n 'obspy.plugin.event.CMTSOLUTION': [\\n 'isFormat = obspy.io.cmtsolution.core:_is_cmtsolution',\\n 'readFormat = obspy.io.cmtsolution.core:_read_cmtsolution',\\n 'writeFormat = obspy.io.cmtsolution.core:_write_cmtsolution'\\n ],\\n 'obspy.plugin.event.SCARDEC': [\\n 'isFormat = obspy.io.scardec.core:_is_scardec',\\n 'readFormat = obspy.io.scardec.core:_read_scardec',\\n 'writeFormat = obspy.io.scardec.core:_write_scardec'\\n ],\\n 'obspy.plugin.event.FNETMT': [\\n 'isFormat = obspy.io.nied.fnetmt:_is_fnetmt_catalog',\\n 'readFormat = obspy.io.nied.fnetmt:_read_fnetmt_catalog',\\n ],\\n 'obspy.plugin.event.GSE2': [\\n 'isFormat = obspy.io.gse2.bulletin:_is_gse2',\\n 'readFormat = obspy.io.gse2.bulletin:_read_gse2',\\n ],\\n 'obspy.plugin.event.SHAPEFILE': [\\n 'writeFormat = obspy.io.shapefile.core:_write_shapefile',\\n ],\\n 'obspy.plugin.event.KML': [\\n 'writeFormat = obspy.io.kml.core:_write_kml',\\n ],\\n 'obspy.plugin.event.IMS10BULLETIN': [\\n 'isFormat = obspy.io.iaspei.core:_is_ims10_bulletin',\\n 'readFormat = obspy.io.iaspei.core:_read_ims10_bulletin',\\n ],\\n 'obspy.plugin.event.EVT': [\\n 'isFormat = obspy.io.sh.evt:_is_evt',\\n 'readFormat = obspy.io.sh.evt:_read_evt',\\n ],\\n 'obspy.plugin.event.FOCMEC': [\\n 'isFormat = obspy.io.focmec.core:_is_focmec',\\n 'readFormat = obspy.io.focmec.core:_read_focmec',\\n ],\\n 'obspy.plugin.event.HYPODDPHA': [\\n 'isFormat = obspy.io.hypodd.pha:_is_pha',\\n 'readFormat = obspy.io.hypodd.pha:_read_pha',\\n ],\\n 'obspy.plugin.inventory': [\\n 'STATIONXML = obspy.io.stationxml.core',\\n 'INVENTORYXML = obspy.io.arclink.inventory',\\n 'SC3ML = obspy.io.seiscomp.inventory',\\n 'SACPZ = obspy.io.sac.sacpz',\\n 'CSS = obspy.io.css.station',\\n 'SHAPEFILE = obspy.io.shapefile.core',\\n 'STATIONTXT = obspy.io.stationtxt.core',\\n 'KML = obspy.io.kml.core',\\n 'SEED = obspy.io.xseed.core',\\n 'XSEED = obspy.io.xseed.core',\\n 'RESP = obspy.io.xseed.core',\\n ],\\n 'obspy.plugin.inventory.STATIONXML': [\\n 'isFormat = obspy.io.stationxml.core:_is_stationxml',\\n 'readFormat = obspy.io.stationxml.core:_read_stationxml',\\n 'writeFormat = obspy.io.stationxml.core:_write_stationxml',\\n ],\\n 'obspy.plugin.inventory.INVENTORYXML': [\\n 'isFormat = obspy.io.arclink.inventory:_is_inventory_xml',\\n 'readFormat = obspy.io.arclink.inventory:_read_inventory_xml',\\n ],\\n 'obspy.plugin.inventory.SC3ML': [\\n 'isFormat = obspy.io.seiscomp.core:_is_sc3ml',\\n 'readFormat = obspy.io.seiscomp.inventory:_read_sc3ml',\\n ],\\n 'obspy.plugin.inventory.SACPZ': [\\n 'writeFormat = obspy.io.sac.sacpz:_write_sacpz',\\n ],\\n 'obspy.plugin.inventory.CSS': [\\n 'writeFormat = obspy.io.css.station:_write_css',\\n ],\\n 'obspy.plugin.inventory.SHAPEFILE': [\\n 'writeFormat = obspy.io.shapefile.core:_write_shapefile',\\n ],\\n 'obspy.plugin.inventory.STATIONTXT': [\\n 'isFormat = obspy.io.stationtxt.core:is_fdsn_station_text_file',\\n 'readFormat = '\\n 'obspy.io.stationtxt.core:read_fdsn_station_text_file',\\n 'writeFormat = obspy.io.stationtxt.core:_write_stationtxt',\\n ],\\n 'obspy.plugin.inventory.KML': [\\n 'writeFormat = obspy.io.kml.core:_write_kml',\\n ],\\n 'obspy.plugin.inventory.SEED': [\\n 'isFormat = obspy.io.xseed.core:_is_seed',\\n 'readFormat = obspy.io.xseed.core:_read_seed',\\n ],\\n 'obspy.plugin.inventory.XSEED': [\\n 'isFormat = obspy.io.xseed.core:_is_xseed',\\n 'readFormat = obspy.io.xseed.core:_read_xseed',\\n ],\\n 'obspy.plugin.inventory.RESP': [\\n 'isFormat = obspy.io.xseed.core:_is_resp',\\n 'readFormat = obspy.io.xseed.core:_read_resp',\\n ],\\n 'obspy.plugin.detrend': [\\n 'linear = scipy.signal:detrend',\\n 'constant = scipy.signal:detrend',\\n 'demean = scipy.signal:detrend',\\n 'simple = obspy.signal.detrend:simple',\\n 'polynomial = obspy.signal.detrend:polynomial',\\n 'spline = obspy.signal.detrend:spline'\\n ],\\n 'obspy.plugin.differentiate': [\\n 'gradient = numpy:gradient',\\n ],\\n 'obspy.plugin.integrate': [\\n 'cumtrapz = '\\n 'obspy.signal.differentiate_and_integrate:integrate_cumtrapz',\\n 'spline = '\\n 'obspy.signal.differentiate_and_integrate:integrate_spline',\\n ],\\n 'obspy.plugin.filter': [\\n 'bandpass = obspy.signal.filter:bandpass',\\n 'bandstop = obspy.signal.filter:bandstop',\\n 'lowpass = obspy.signal.filter:lowpass',\\n 'highpass = obspy.signal.filter:highpass',\\n 'lowpass_cheby_2 = obspy.signal.filter:lowpass_cheby_2',\\n 'lowpass_fir = obspy.signal.filter:lowpass_FIR',\\n 'remez_fir = obspy.signal.filter:remez_FIR',\\n ],\\n 'obspy.plugin.interpolate': [\\n 'interpolate_1d = obspy.signal.interpolation:interpolate_1d',\\n 'weighted_average_slopes = '\\n 'obspy.signal.interpolation:weighted_average_slopes',\\n 'lanczos = obspy.signal.interpolation:lanczos_interpolation'\\n ],\\n 'obspy.plugin.rotate': [\\n 'rotate_ne_rt = obspy.signal.rotate:rotate_ne_rt',\\n 'rotate_rt_ne = obspy.signal.rotate:rotate_rt_ne',\\n 'rotate_zne_lqt = obspy.signal.rotate:rotate_zne_lqt',\\n 'rotate_lqt_zne = obspy.signal.rotate:rotate_lqt_zne'\\n ],\\n 'obspy.plugin.taper': [\\n 'cosine = obspy.signal.invsim:cosine_taper',\\n 'barthann = scipy.signal:barthann',\\n 'bartlett = scipy.signal:bartlett',\\n 'blackman = scipy.signal:blackman',\\n 'blackmanharris = scipy.signal:blackmanharris',\\n 'bohman = scipy.signal:bohman',\\n 'boxcar = scipy.signal:boxcar',\\n 'chebwin = scipy.signal:chebwin',\\n 'flattop = scipy.signal:flattop',\\n 'gaussian = scipy.signal:gaussian',\\n 'general_gaussian = scipy.signal:general_gaussian',\\n 'hamming = scipy.signal:hamming',\\n 'hann = scipy.signal:hann',\\n 'kaiser = scipy.signal:kaiser',\\n 'nuttall = scipy.signal:nuttall',\\n 'parzen = scipy.signal:parzen',\\n 'slepian = scipy.signal:slepian',\\n 'triang = scipy.signal:triang',\\n ],\\n 'obspy.plugin.trigger': [\\n 'recstalta = obspy.signal.trigger:recursive_sta_lta',\\n 'carlstatrig = obspy.signal.trigger:carl_sta_trig',\\n 'classicstalta = obspy.signal.trigger:classic_sta_lta',\\n 'delayedstalta = obspy.signal.trigger:delayed_sta_lta',\\n 'zdetect = obspy.signal.trigger:z_detect',\\n 'recstaltapy = obspy.signal.trigger:recursive_sta_lta_py',\\n 'classicstaltapy = obspy.signal.trigger:classic_sta_lta_py',\\n ],\\n 'obspy.db.feature': [\\n 'minmax_amplitude = obspy.db.feature:MinMaxAmplitudeFeature',\\n 'bandpass_preview = obspy.db.feature:BandpassPreviewFeature',\\n ],\\n }\\n\\n\\ndef find_packages():\\n \\\"\\\"\\\"\\n Simple function to find all modules under the current folder.\\n \\\"\\\"\\\"\\n modules = []\\n for dirpath, _, filenames in os.walk(os.path.join(SETUP_DIRECTORY,\\n \\\"obspy\\\")):\\n if \\\"__init__.py\\\" in filenames:\\n modules.append(os.path.relpath(dirpath, SETUP_DIRECTORY))\\n return [_i.replace(os.sep, \\\".\\\") for _i in modules]\\n\\n\\n# monkey patches for MS Visual Studio\\nif IS_MSVC:\\n # remove 'init' entry in exported symbols\\n def _get_export_symbols(self, ext):\\n return ext.export_symbols\\n from distutils.command.build_ext import build_ext\\n build_ext.get_export_symbols = _get_export_symbols\\n\\n\\n# helper function for collecting export symbols from .def files\\ndef export_symbols(*path):\\n lines = open(os.path.join(*path), 'r').readlines()[2:]\\n return [s.strip() for s in lines if s.strip() != '']\\n\\n\\n# adds --with-system-libs command-line option if possible\\ndef add_features():\\n if 'setuptools' not in sys.modules or not hasattr(setuptools, 'Feature'):\\n return {}\\n\\n class ExternalLibFeature(setuptools.Feature):\\n def __init__(self, *args, **kwargs):\\n self.name = kwargs['name']\\n setuptools.Feature.__init__(self, *args, **kwargs)\\n\\n def include_in(self, dist):\\n globals()[self.name] = True\\n\\n def exclude_from(self, dist):\\n globals()[self.name] = False\\n\\n return {\\n 'system-libs': setuptools.Feature(\\n 'use of system C libraries',\\n standard=False,\\n require_features=('system-evalresp', 'system-libmseed')\\n ),\\n 'system-evalresp': ExternalLibFeature(\\n 'use of system evalresp library',\\n standard=False,\\n name='EXTERNAL_EVALRESP'\\n ),\\n 'system-libmseed': ExternalLibFeature(\\n 'use of system libmseed library',\\n standard=False,\\n name='EXTERNAL_LIBMSEED'\\n )\\n }\\n\\n\\ndef configuration(parent_package=\\\"\\\", top_path=None):\\n \\\"\\\"\\\"\\n Config function mainly used to compile C code.\\n \\\"\\\"\\\"\\n config = Configuration(\\\"\\\", parent_package, top_path)\\n\\n # GSE2\\n path = os.path.join(\\\"obspy\\\", \\\"io\\\", \\\"gse2\\\", \\\"src\\\", \\\"GSE_UTI\\\")\\n files = [os.path.join(path, \\\"gse_functions.c\\\")]\\n # compiler specific options\\n kwargs = {}\\n if IS_MSVC:\\n # get export symbols\\n kwargs['export_symbols'] = export_symbols(path, 'gse_functions.def')\\n config.add_extension(_get_lib_name(\\\"gse2\\\", add_extension_suffix=False),\\n files, **kwargs)\\n\\n # LIBMSEED\\n path = os.path.join(\\\"obspy\\\", \\\"io\\\", \\\"mseed\\\", \\\"src\\\")\\n files = [os.path.join(path, \\\"obspy-readbuffer.c\\\")]\\n if not EXTERNAL_LIBMSEED:\\n files += glob.glob(os.path.join(path, \\\"libmseed\\\", \\\"*.c\\\"))\\n # compiler specific options\\n kwargs = {}\\n if IS_MSVC:\\n # needed by libmseed lmplatform.h\\n kwargs['define_macros'] = [('WIN32', '1')]\\n # get export symbols\\n kwargs['export_symbols'] = \\\\\\n export_symbols(path, 'libmseed', 'libmseed.def')\\n kwargs['export_symbols'] += \\\\\\n export_symbols(path, 'obspy-readbuffer.def')\\n if EXTERNAL_LIBMSEED:\\n kwargs['libraries'] = ['mseed']\\n config.add_extension(_get_lib_name(\\\"mseed\\\", add_extension_suffix=False),\\n files, **kwargs)\\n\\n # SEGY\\n path = os.path.join(\\\"obspy\\\", \\\"io\\\", \\\"segy\\\", \\\"src\\\")\\n files = [os.path.join(path, \\\"ibm2ieee.c\\\")]\\n # compiler specific options\\n kwargs = {}\\n if IS_MSVC:\\n # get export symbols\\n kwargs['export_symbols'] = export_symbols(path, 'libsegy.def')\\n config.add_extension(_get_lib_name(\\\"segy\\\", add_extension_suffix=False),\\n files, **kwargs)\\n\\n # SIGNAL\\n path = os.path.join(\\\"obspy\\\", \\\"signal\\\", \\\"src\\\")\\n files = glob.glob(os.path.join(path, \\\"*.c\\\"))\\n # compiler specific options\\n kwargs = {}\\n if IS_MSVC:\\n # get export symbols\\n kwargs['export_symbols'] = export_symbols(path, 'libsignal.def')\\n config.add_extension(_get_lib_name(\\\"signal\\\", add_extension_suffix=False),\\n files, **kwargs)\\n\\n # EVALRESP\\n path = os.path.join(\\\"obspy\\\", \\\"signal\\\", \\\"src\\\")\\n if EXTERNAL_EVALRESP:\\n files = glob.glob(os.path.join(path, \\\"evalresp\\\", \\\"_obspy*.c\\\"))\\n else:\\n files = glob.glob(os.path.join(path, \\\"evalresp\\\", \\\"*.c\\\"))\\n # compiler specific options\\n kwargs = {}\\n if IS_MSVC:\\n # needed by evalresp evresp.h\\n kwargs['define_macros'] = [('WIN32', '1')]\\n # get export symbols\\n kwargs['export_symbols'] = export_symbols(path, 'libevresp.def')\\n if EXTERNAL_EVALRESP:\\n kwargs['libraries'] = ['evresp']\\n config.add_extension(_get_lib_name(\\\"evresp\\\", add_extension_suffix=False),\\n files, **kwargs)\\n\\n # TAU\\n path = os.path.join(\\\"obspy\\\", \\\"taup\\\", \\\"src\\\")\\n files = [os.path.join(path, \\\"inner_tau_loops.c\\\")]\\n # compiler specific options\\n kwargs = {}\\n if IS_MSVC:\\n # get export symbols\\n kwargs['export_symbols'] = export_symbols(path, 'libtau.def')\\n config.add_extension(_get_lib_name(\\\"tau\\\", add_extension_suffix=False),\\n files, **kwargs)\\n\\n add_data_files(config)\\n\\n return config\\n\\n\\ndef add_data_files(config):\\n \\\"\\\"\\\"\\n Recursively include all non python files\\n \\\"\\\"\\\"\\n # python files are included per default, we only include data files\\n # here\\n EXCLUDE_WILDCARDS = ['*.py', '*.pyc', '*.pyo', '*.pdf', '.git*']\\n EXCLUDE_DIRS = ['src', '__pycache__']\\n common_prefix = SETUP_DIRECTORY + os.path.sep\\n for root, dirs, files in os.walk(os.path.join(SETUP_DIRECTORY, 'obspy')):\\n root = root.replace(common_prefix, '')\\n for name in files:\\n if any(fnmatch.fnmatch(name, w) for w in EXCLUDE_WILDCARDS):\\n continue\\n config.add_data_files(os.path.join(root, name))\\n for folder in EXCLUDE_DIRS:\\n if folder in dirs:\\n dirs.remove(folder)\\n\\n # Force include the contents of some directories.\\n FORCE_INCLUDE_DIRS = [\\n os.path.join(SETUP_DIRECTORY, 'obspy', 'io', 'mseed', 'src',\\n 'libmseed', 'test')]\\n\\n for folder in FORCE_INCLUDE_DIRS:\\n for root, _, files in os.walk(folder):\\n for filename in files:\\n config.add_data_files(\\n os.path.relpath(os.path.join(root, filename),\\n SETUP_DIRECTORY))\\n\\n\\n# Auto-generate man pages from --help output\\nclass Help2ManBuild(build):\\n description = \\\"Run help2man on scripts to produce man pages\\\"\\n\\n def finalize_options(self):\\n build.finalize_options(self)\\n self.help2man = find_executable('help2man')\\n if not self.help2man:\\n raise DistutilsSetupError('Building man pages requires help2man.')\\n\\n def run(self):\\n mandir = os.path.join(self.build_base, 'man')\\n self.mkpath(mandir)\\n\\n from pkg_resources import EntryPoint\\n for entrypoint in ENTRY_POINTS['console_scripts']:\\n ep = EntryPoint.parse(entrypoint)\\n if not ep.module_name.startswith('obspy'):\\n continue\\n\\n output = os.path.join(mandir, ep.name + '.1')\\n print('Generating %s ...' % (output))\\n exec_command([self.help2man,\\n '--no-info', '--no-discard-stderr',\\n '--output', output,\\n '\\\"%s -m %s\\\"' % (sys.executable,\\n ep.module_name)])\\n\\n\\nclass Help2ManInstall(install):\\n description = 'Install man pages generated by help2man'\\n user_options = install.user_options + [\\n ('manprefix=', None, 'MAN Prefix Path')\\n ]\\n\\n def initialize_options(self):\\n self.manprefix = None\\n install.initialize_options(self)\\n\\n def finalize_options(self):\\n if self.manprefix is None:\\n self.manprefix = os.path.join('share', 'man')\\n install.finalize_options(self)\\n\\n def run(self):\\n if not self.skip_build:\\n self.run_command('build_man')\\n\\n srcdir = os.path.join(self.build_base, 'man')\\n mandir = os.path.join(self.install_base, self.manprefix, 'man1')\\n if self.root is not None:\\n mandir = change_root(self.root, mandir)\\n self.mkpath(mandir)\\n self.copy_tree(srcdir, mandir)\\n\\n\\ndef setupPackage():\\n # setup package\\n setup(\\n name='obspy',\\n version=get_git_version(),\\n description=DOCSTRING[1],\\n long_description=\\\"\\\\n\\\".join(DOCSTRING[3:]),\\n url=\\\"https://www.obspy.org\\\",\\n author='The ObsPy Development Team',\\n author_email='devs@obspy.org',\\n license='GNU Lesser General Public License, Version 3 (LGPLv3)',\\n platforms='OS Independent',\\n classifiers=[\\n 'Development Status :: 5 - Production/Stable',\\n 'Environment :: Console',\\n 'Intended Audience :: Science/Research',\\n 'Intended Audience :: Developers',\\n 'License :: OSI Approved :: GNU Library or ' +\\n 'Lesser General Public License (LGPL)',\\n 'Operating System :: OS Independent',\\n 'Programming Language :: Python',\\n 'Programming Language :: Python :: 3',\\n 'Programming Language :: Python :: 3.7',\\n 'Programming Language :: Python :: 3.8',\\n 'Topic :: Scientific/Engineering',\\n 'Topic :: Scientific/Engineering :: Physics'],\\n keywords=KEYWORDS,\\n packages=find_packages(),\\n namespace_packages=[],\\n zip_safe=False,\\n python_requires=f'>={MIN_PYTHON_VERSION[0]}.{MIN_PYTHON_VERSION[1]}',\\n install_requires=INSTALL_REQUIRES,\\n extras_require=EXTRAS_REQUIRE,\\n features=add_features(),\\n # this is needed for \\\"easy_install obspy==dev\\\"\\n download_url=(\\\"https://github.com/obspy/obspy/zipball/master\\\"\\n \\\"#egg=obspy=dev\\\"),\\n include_package_data=True,\\n entry_points=ENTRY_POINTS,\\n ext_package='obspy.lib',\\n cmdclass={\\n 'build_man': Help2ManBuild,\\n 'install_man': Help2ManInstall\\n },\\n configuration=configuration)\\n\\n\\nif __name__ == '__main__':\\n # clean --all does not remove extensions automatically\\n if 'clean' in sys.argv and '--all' in sys.argv:\\n import shutil\\n # delete complete build directory\\n path = os.path.join(SETUP_DIRECTORY, 'build')\\n try:\\n shutil.rmtree(path)\\n except Exception:\\n pass\\n # delete all shared libs from lib directory\\n path = os.path.join(SETUP_DIRECTORY, 'obspy', 'lib')\\n for filename in glob.glob(path + os.sep + '*.pyd'):\\n try:\\n os.remove(filename)\\n except Exception:\\n pass\\n for filename in glob.glob(path + os.sep + '*.so'):\\n try:\\n os.remove(filename)\\n except Exception:\\n pass\\n path = os.path.join(SETUP_DIRECTORY, 'obspy', 'taup', 'data', 'models')\\n try:\\n shutil.rmtree(path)\\n except Exception:\\n pass\\n else:\\n setupPackage()\\n\",\n \"path\": \"setup.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/setup.py b/setup.py\nindex e0ebf9e849a..f640cc570fd 100644\n--- a/setup.py\n+++ b/setup.py\n@@ -43,8 +43,9 @@\n import sys\n import platform\n from distutils.util import change_root\n+from distutils.errors import DistutilsSetupError\n \n-from numpy.distutils.core import DistutilsSetupError, setup\n+from numpy.distutils.core import setup\n from numpy.distutils.ccompiler import get_default_compiler\n from numpy.distutils.command.build import build\n from numpy.distutils.command.install import install\n"}}},{"rowIdx":6584,"cells":{"in_source_id":{"kind":"string","value":"vispy__vispy-1389"},"issue":{"kind":"string","value":"Camera API documentation missing\nI could not find a list of available cameras in the docs:\n\nhttp://vispy.org/scene.html?highlight=cameras#module-vispy.scene.cameras\n\n"},"before_files":{"kind":"list like","value":[{"content":"# -*- coding: utf-8 -*-\n# Copyright (c) Vispy Development Team. All Rights Reserved.\n# Distributed under the (new) BSD License. See LICENSE.txt for more info.\n\"\"\"\nCameras are responsible for determining which part of a scene is displayed\nin a viewbox and for handling user input to change the view.\n\nSeveral Camera subclasses are available to customize the projection of the \nscene such as 3D perspective and orthographic projections, 2D \nscale/translation, and other specialty cameras. A variety of user interaction\nstyles are available for each camera including arcball, turntable, \nfirst-person, and pan/zoom interactions.\n\nInternally, Cameras work by setting the transform of a SubScene object such \nthat a certain part of the scene is mapped to the bounding rectangle of the \nViewBox.\n\"\"\"\nfrom ._base import make_camera # noqa\nfrom .base_camera import BaseCamera # noqa\nfrom .panzoom import PanZoomCamera # noqa\nfrom .arcball import ArcballCamera # noqa\nfrom .turntable import TurntableCamera # noqa\nfrom .fly import FlyCamera # noqa\nfrom .magnify import MagnifyCamera, Magnify1DCamera # noqa\n","path":"vispy/scene/cameras/__init__.py"}],"string":"[\n {\n \"content\": \"# -*- coding: utf-8 -*-\\n# Copyright (c) Vispy Development Team. All Rights Reserved.\\n# Distributed under the (new) BSD License. See LICENSE.txt for more info.\\n\\\"\\\"\\\"\\nCameras are responsible for determining which part of a scene is displayed\\nin a viewbox and for handling user input to change the view.\\n\\nSeveral Camera subclasses are available to customize the projection of the \\nscene such as 3D perspective and orthographic projections, 2D \\nscale/translation, and other specialty cameras. A variety of user interaction\\nstyles are available for each camera including arcball, turntable, \\nfirst-person, and pan/zoom interactions.\\n\\nInternally, Cameras work by setting the transform of a SubScene object such \\nthat a certain part of the scene is mapped to the bounding rectangle of the \\nViewBox.\\n\\\"\\\"\\\"\\nfrom ._base import make_camera # noqa\\nfrom .base_camera import BaseCamera # noqa\\nfrom .panzoom import PanZoomCamera # noqa\\nfrom .arcball import ArcballCamera # noqa\\nfrom .turntable import TurntableCamera # noqa\\nfrom .fly import FlyCamera # noqa\\nfrom .magnify import MagnifyCamera, Magnify1DCamera # noqa\\n\",\n \"path\": \"vispy/scene/cameras/__init__.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"# -*- coding: utf-8 -*-\n# Copyright (c) 2015, Vispy Development Team.\n# Distributed under the (new) BSD License. See LICENSE.txt for more info.\n\"\"\"\nCameras are responsible for determining which part of a scene is displayed\nin a viewbox and for handling user input to change the view.\n\nSeveral Camera subclasses are available to customize the projection of the \nscene such as 3D perspective and orthographic projections, 2D \nscale/translation, and other specialty cameras. A variety of user interaction\nstyles are available for each camera including arcball, turntable, \nfirst-person, and pan/zoom interactions.\n\nInternally, Cameras work by setting the transform of a SubScene object such \nthat a certain part of the scene is mapped to the bounding rectangle of the \nViewBox.\n\"\"\"\n__all__ = ['ArcballCamera', 'BaseCamera', 'FlyCamera', 'MagnifyCamera',\n 'Magnify1DCamera', 'PanZoomCamera', 'TurntableCamera']\n\nfrom ._base import make_camera # noqa\nfrom .base_camera import BaseCamera # noqa\nfrom .panzoom import PanZoomCamera # noqa\nfrom .arcball import ArcballCamera # noqa\nfrom .turntable import TurntableCamera # noqa\nfrom .fly import FlyCamera # noqa\nfrom .magnify import MagnifyCamera, Magnify1DCamera # noqa\n","path":"vispy/scene/cameras/__init__.py"}],"string":"[\n {\n \"content\": \"# -*- coding: utf-8 -*-\\n# Copyright (c) 2015, Vispy Development Team.\\n# Distributed under the (new) BSD License. See LICENSE.txt for more info.\\n\\\"\\\"\\\"\\nCameras are responsible for determining which part of a scene is displayed\\nin a viewbox and for handling user input to change the view.\\n\\nSeveral Camera subclasses are available to customize the projection of the \\nscene such as 3D perspective and orthographic projections, 2D \\nscale/translation, and other specialty cameras. A variety of user interaction\\nstyles are available for each camera including arcball, turntable, \\nfirst-person, and pan/zoom interactions.\\n\\nInternally, Cameras work by setting the transform of a SubScene object such \\nthat a certain part of the scene is mapped to the bounding rectangle of the \\nViewBox.\\n\\\"\\\"\\\"\\n__all__ = ['ArcballCamera', 'BaseCamera', 'FlyCamera', 'MagnifyCamera',\\n 'Magnify1DCamera', 'PanZoomCamera', 'TurntableCamera']\\n\\nfrom ._base import make_camera # noqa\\nfrom .base_camera import BaseCamera # noqa\\nfrom .panzoom import PanZoomCamera # noqa\\nfrom .arcball import ArcballCamera # noqa\\nfrom .turntable import TurntableCamera # noqa\\nfrom .fly import FlyCamera # noqa\\nfrom .magnify import MagnifyCamera, Magnify1DCamera # noqa\\n\",\n \"path\": \"vispy/scene/cameras/__init__.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/vispy/scene/cameras/__init__.py b/vispy/scene/cameras/__init__.py\nindex d0186e6e22..ec614257e5 100644\n--- a/vispy/scene/cameras/__init__.py\n+++ b/vispy/scene/cameras/__init__.py\n@@ -15,6 +15,9 @@\n that a certain part of the scene is mapped to the bounding rectangle of the \n ViewBox.\n \"\"\"\n+__all__ = ['ArcballCamera', 'BaseCamera', 'FlyCamera', 'MagnifyCamera',\n+ 'Magnify1DCamera', 'PanZoomCamera', 'TurntableCamera']\n+\n from ._base import make_camera # noqa\n from .base_camera import BaseCamera # noqa\n from .panzoom import PanZoomCamera # noqa\n"}}},{"rowIdx":6585,"cells":{"in_source_id":{"kind":"string","value":"dmlc__dgl-3075"},"issue":{"kind":"string","value":"Double edges in some TUDatasets\n## 🐛 Bug\r\n\r\nThe adjacency matrix of some TUDatasets such as IMDB-BINARY is made up of 0s and 2s rather than 0s and 1s. I believe this to be because the original files have multiple entries of the edges. \r\n\r\n## To Reproduce\r\n\r\nSteps to reproduce the behavior:\r\n\r\nI wrote the following script to show the behaviour \r\n\r\n```\r\nfrom io import BytesIO\r\nfrom urllib.request import urlopen\r\nfrom zipfile import ZipFile\r\n\r\nimport dgl\r\nimport networkx as nx\r\nimport numpy as np\r\nimport scipy.sparse as sp\r\nimport torch_geometric\r\n\r\n\r\ndef get_tudataset(name):\r\n \"\"\"Returns a list of adj matrices.\"\"\"\r\n # files\r\n resp = urlopen(f'https://www.chrsmrrs.com/graphkerneldatasets/{name}.zip')\r\n zipfile = ZipFile(BytesIO(resp.read()))\r\n graphs_fname=f'{name}/{name}_A.txt'\r\n graph_indicator_fname=f'{name}/{name}_graph_indicator.txt'\r\n\r\n # map graph_id to set of nodes\r\n graphs = {}\r\n for node, line in enumerate(zipfile.open(graph_indicator_fname).readlines()):\r\n graph_id = int(line.decode('utf-8').strip('\\n'))-1\r\n if graph_id in graphs:\r\n graphs[graph_id].add(node)\r\n else:\r\n graphs[graph_id] = {node}\r\n\r\n # construct adjacent matrices\r\n number_of_graphs = len(graphs)\r\n adj_matrices = [sp.lil_matrix((len(graphs[i]), len(graphs[i])), dtype=np.float32) for i in range(number_of_graphs)]\r\n for line in zipfile.open(graphs_fname).readlines():\r\n u, v = line.decode('utf-8').strip('\\n').split(',')\r\n u, v = int(u)-1, int(v)-1\r\n\r\n for graph_id in graphs:\r\n if u in graphs[graph_id]:\r\n u = u - min(graphs[graph_id])\r\n v = v - min(graphs[graph_id])\r\n adj_matrices[graph_id][u, v] += 1\r\n\r\n return adj_matrices\r\n\r\ndef unique_elements(sparse_adj):\r\n return set(np.unique(np.array(sparse_adj.todense())))\r\n\r\ndef adj_elements(dataset):\r\n adj_matrices = get_tudataset(dataset)\r\n dataset_pg = torch_geometric.datasets.TUDataset('tmp/torch_geometric', dataset, use_node_attr=True)\r\n dataset_dgl = dgl.data.TUDataset(dataset)\r\n number_of_graphs = len(dataset_dgl)\r\n\r\n my_unique_elements = set()\r\n for i in range(number_of_graphs):\r\n graph = adj_matrices[i]\r\n my_unique_elements = my_unique_elements.union(unique_elements(graph))\r\n\r\n pg_unique_elements = set()\r\n for i in range(number_of_graphs):\r\n graph = nx.adj_matrix(torch_geometric.utils.to_networkx(dataset_pg[0]))\r\n pg_unique_elements = pg_unique_elements.union(unique_elements(graph))\r\n\r\n dgl_unique_elements = set()\r\n for i in range(number_of_graphs):\r\n graph = dataset_dgl[i][0].adjacency_matrix(scipy_fmt='csr')\r\n dgl_unique_elements = dgl_unique_elements.union(unique_elements(graph))\r\n\r\n print(dataset)\r\n print('My implementation', my_unique_elements)\r\n print('PG implementation', pg_unique_elements)\r\n print('DGL implementation', dgl_unique_elements)\r\n print()\r\n\r\n\r\nif __name__ == '__main__':\r\n adj_elements('ENZYMES')\r\n adj_elements('IMDB-BINARY')\r\n```\r\n\r\nThe function `get_tudataset` is a naive implementation to read the adjacency matrices. The function `unique_elements` takes a sparse adjacency matrix and returns a set containing the unique elements. The function `adj_elements` looks at every adjacency matrix in a dataset and prints the unique elements found using three interfaces to the TUDatasets (my implementation, pytorch_geometric and DGL).\r\n\r\nThe output of this script is\r\n```\r\nUsing backend: pytorch\r\nENZYMES\r\nMy implementation {0.0, 1.0}\r\nPG implementation {0, 1}\r\nDGL implementation {0, 1}\r\n\r\nIMDB-BINARY\r\nMy implementation {0.0, 2.0}\r\nPG implementation {0, 1}\r\nDGL implementation {0, 2}\r\n```\r\n\r\n## Expected behaviour\r\n\r\nThe datasets `ENZYMES` and `IMDB-BINARY` consist of binary graphs, so the adjacency matrices should be binary. The DGL implementation suffers the same error as my implementation, which is that multi edges are added. The expected behaviour should be like pytorch_geometric, where the multiplicity (which I think is an inconsistency in the original data) is ignored.\r\n\r\n## Environment\r\n\r\n - DGL Version (e.g., 1.0): 0.6.1\r\n - Backend Library & Version (e.g., PyTorch 0.4.1, MXNet/Gluon 1.3): PyTorch 0.6.1\r\n - OS (e.g., Linux): macOS Catalina (10.15.7)\r\n - How you installed DGL (`conda`, `pip`, source): conda\r\n - Python version: 3.7.9\r\n - CUDA/cuDNN version (if applicable): N/A\r\n - GPU models and configuration (e.g. V100): N/A\r\n - Any other relevant information: N/A\n"},"before_files":{"kind":"list like","value":[{"content":"from __future__ import absolute_import\nimport numpy as np\nimport os\n\nfrom .dgl_dataset import DGLBuiltinDataset\nfrom .utils import loadtxt, save_graphs, load_graphs, save_info, load_info\nfrom .. import backend as F\nfrom ..convert import graph as dgl_graph\n\nclass LegacyTUDataset(DGLBuiltinDataset):\n r\"\"\"LegacyTUDataset contains lots of graph kernel datasets for graph classification.\n\n Parameters\n ----------\n name : str\n Dataset Name, such as ``ENZYMES``, ``DD``, ``COLLAB``, ``MUTAG``, can be the \n datasets name on `<https://chrsmrrs.github.io/datasets/docs/datasets/>`_.\n use_pandas : bool\n Numpy's file read function has performance issue when file is large,\n using pandas can be faster.\n Default: False\n hidden_size : int\n Some dataset doesn't contain features.\n Use constant node features initialization instead, with hidden size as ``hidden_size``.\n Default : 10\n max_allow_node : int\n Remove graphs that contains more nodes than ``max_allow_node``.\n Default : None\n\n Attributes\n ----------\n max_num_node : int\n Maximum number of nodes\n num_labels : int\n Number of classes\n\n Examples\n --------\n >>> data = LegacyTUDataset('DD')\n\n The dataset instance is an iterable\n\n >>> len(data)\n 1178\n >>> g, label = data[1024]\n >>> g\n Graph(num_nodes=88, num_edges=410,\n ndata_schemes={'feat': Scheme(shape=(89,), dtype=torch.float32), '_ID': Scheme(shape=(), dtype=torch.int64)}\n edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64)})\n >>> label\n tensor(1)\n\n Batch the graphs and labels for mini-batch training\n\n >>> graphs, labels = zip(*[data[i] for i in range(16)])\n >>> batched_graphs = dgl.batch(graphs)\n >>> batched_labels = torch.tensor(labels)\n >>> batched_graphs\n Graph(num_nodes=9539, num_edges=47382,\n ndata_schemes={'feat': Scheme(shape=(89,), dtype=torch.float32), '_ID': Scheme(shape=(), dtype=torch.int64)}\n edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64)})\n\n Notes\n -----\n LegacyTUDataset uses provided node feature by default. If no feature provided, it uses one-hot node label instead.\n If neither labels provided, it uses constant for node feature.\n \"\"\"\n\n _url = r\"https://www.chrsmrrs.com/graphkerneldatasets/{}.zip\"\n\n def __init__(self, name, use_pandas=False,\n hidden_size=10, max_allow_node=None,\n raw_dir=None, force_reload=False, verbose=False):\n\n url = self._url.format(name)\n self.hidden_size = hidden_size\n self.max_allow_node = max_allow_node\n self.use_pandas = use_pandas\n super(LegacyTUDataset, self).__init__(name=name, url=url, raw_dir=raw_dir,\n hash_key=(name, use_pandas, hidden_size, max_allow_node),\n force_reload=force_reload, verbose=verbose)\n\n def process(self):\n self.data_mode = None\n\n if self.use_pandas:\n import pandas as pd\n DS_edge_list = self._idx_from_zero(\n pd.read_csv(self._file_path(\"A\"), delimiter=\",\", dtype=int, header=None).values)\n else:\n DS_edge_list = self._idx_from_zero(\n np.genfromtxt(self._file_path(\"A\"), delimiter=\",\", dtype=int))\n\n DS_indicator = self._idx_from_zero(\n np.genfromtxt(self._file_path(\"graph_indicator\"), dtype=int))\n if os.path.exists(self._file_path(\"graph_labels\")):\n DS_graph_labels = self._idx_from_zero(\n np.genfromtxt(self._file_path(\"graph_labels\"), dtype=int))\n self.num_labels = max(DS_graph_labels) + 1\n self.graph_labels = DS_graph_labels \n elif os.path.exists(self._file_path(\"graph_attributes\")):\n DS_graph_labels = np.genfromtxt(self._file_path(\"graph_attributes\"), dtype=float)\n self.num_labels = None\n self.graph_labels = DS_graph_labels\n else:\n raise Exception(\"Unknown graph label or graph attributes\")\n\n g = dgl_graph(([], []))\n g.add_nodes(int(DS_edge_list.max()) + 1)\n g.add_edges(DS_edge_list[:, 0], DS_edge_list[:, 1])\n\n node_idx_list = []\n self.max_num_node = 0\n for idx in range(np.max(DS_indicator) + 1):\n node_idx = np.where(DS_indicator == idx)\n node_idx_list.append(node_idx[0])\n if len(node_idx[0]) > self.max_num_node:\n self.max_num_node = len(node_idx[0])\n\n self.graph_lists = [g.subgraph(node_idx) for node_idx in node_idx_list]\n\n try:\n DS_node_labels = self._idx_from_zero(\n np.loadtxt(self._file_path(\"node_labels\"), dtype=int))\n g.ndata['node_label'] = F.tensor(DS_node_labels)\n one_hot_node_labels = self._to_onehot(DS_node_labels)\n for idxs, g in zip(node_idx_list, self.graph_lists):\n g.ndata['feat'] = F.tensor(one_hot_node_labels[idxs, :], F.float32)\n self.data_mode = \"node_label\"\n except IOError:\n print(\"No Node Label Data\")\n\n try:\n DS_node_attr = np.loadtxt(\n self._file_path(\"node_attributes\"), delimiter=\",\")\n if DS_node_attr.ndim == 1:\n DS_node_attr = np.expand_dims(DS_node_attr, -1)\n for idxs, g in zip(node_idx_list, self.graph_lists):\n g.ndata['feat'] = F.tensor(DS_node_attr[idxs, :], F.float32)\n self.data_mode = \"node_attr\"\n except IOError:\n print(\"No Node Attribute Data\")\n\n if 'feat' not in g.ndata.keys():\n for idxs, g in zip(node_idx_list, self.graph_lists):\n g.ndata['feat'] = F.ones((g.number_of_nodes(), self.hidden_size),\n F.float32, F.cpu())\n self.data_mode = \"constant\"\n if self.verbose:\n print(\"Use Constant one as Feature with hidden size {}\".format(self.hidden_size))\n\n # remove graphs that are too large by user given standard\n # optional pre-processing steop in conformity with Rex Ying's original\n # DiffPool implementation\n if self.max_allow_node:\n preserve_idx = []\n if self.verbose:\n print(\"original dataset length : \", len(self.graph_lists))\n for (i, g) in enumerate(self.graph_lists):\n if g.number_of_nodes() <= self.max_allow_node:\n preserve_idx.append(i)\n self.graph_lists = [self.graph_lists[i] for i in preserve_idx]\n if self.verbose:\n print(\"after pruning graphs that are too big : \", len(self.graph_lists))\n self.graph_labels = [self.graph_labels[i] for i in preserve_idx]\n self.max_num_node = self.max_allow_node\n self.graph_labels = F.tensor(self.graph_labels)\n\n def save(self):\n graph_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.bin'.format(self.name, self.hash))\n info_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.pkl'.format(self.name, self.hash))\n label_dict = {'labels': self.graph_labels}\n info_dict = {'max_num_node': self.max_num_node,\n 'num_labels': self.num_labels}\n save_graphs(str(graph_path), self.graph_lists, label_dict)\n save_info(str(info_path), info_dict)\n\n def load(self):\n graph_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.bin'.format(self.name, self.hash))\n info_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.pkl'.format(self.name, self.hash))\n graphs, label_dict = load_graphs(str(graph_path))\n info_dict = load_info(str(info_path))\n\n self.graph_lists = graphs\n self.graph_labels = label_dict['labels']\n self.max_num_node = info_dict['max_num_node']\n self.num_labels = info_dict['num_labels']\n\n def has_cache(self):\n graph_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.bin'.format(self.name, self.hash))\n info_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.pkl'.format(self.name, self.hash))\n if os.path.exists(graph_path) and os.path.exists(info_path):\n return True\n return False\n\n def __getitem__(self, idx):\n \"\"\"Get the idx-th sample.\n\n Parameters\n ---------\n idx : int\n The sample index.\n\n Returns\n -------\n (:class:`dgl.DGLGraph`, Tensor)\n Graph with node feature stored in ``feat`` field and node label in ``node_label`` if available.\n And its label.\n \"\"\"\n g = self.graph_lists[idx]\n return g, self.graph_labels[idx]\n\n def __len__(self):\n \"\"\"Return the number of graphs in the dataset.\"\"\"\n return len(self.graph_lists)\n\n def _file_path(self, category):\n return os.path.join(self.raw_path, self.name,\n \"{}_{}.txt\".format(self.name, category))\n\n @staticmethod\n def _idx_from_zero(idx_tensor):\n return idx_tensor - np.min(idx_tensor)\n\n @staticmethod\n def _to_onehot(label_tensor):\n label_num = label_tensor.shape[0]\n assert np.min(label_tensor) == 0\n one_hot_tensor = np.zeros((label_num, np.max(label_tensor) + 1))\n one_hot_tensor[np.arange(label_num), label_tensor] = 1\n return one_hot_tensor\n\n def statistics(self):\n return self.graph_lists[0].ndata['feat'].shape[1],\\\n self.num_labels,\\\n self.max_num_node\n\nclass TUDataset(DGLBuiltinDataset):\n r\"\"\"\n TUDataset contains lots of graph kernel datasets for graph classification.\n\n Parameters\n ----------\n name : str\n Dataset Name, such as ``ENZYMES``, ``DD``, ``COLLAB``, ``MUTAG``, can be the \n datasets name on `<https://chrsmrrs.github.io/datasets/docs/datasets/>`_.\n\n Attributes\n ----------\n max_num_node : int\n Maximum number of nodes\n num_labels : int\n Number of classes\n\n Examples\n --------\n >>> data = TUDataset('DD')\n\n The dataset instance is an iterable\n\n >>> len(data)\n 188\n >>> g, label = data[1024]\n >>> g\n Graph(num_nodes=88, num_edges=410,\n ndata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64), 'node_labels': Scheme(shape=(1,), dtype=torch.int64)}\n edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64)})\n >>> label\n tensor([1])\n\n Batch the graphs and labels for mini-batch training\n\n >>> graphs, labels = zip(*[data[i] for i in range(16)])\n >>> batched_graphs = dgl.batch(graphs)\n >>> batched_labels = torch.tensor(labels)\n >>> batched_graphs\n Graph(num_nodes=9539, num_edges=47382,\n ndata_schemes={'node_labels': Scheme(shape=(1,), dtype=torch.int64), '_ID': Scheme(shape=(), dtype=torch.int64)}\n edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64)})\n\n Notes\n -----\n Graphs may have node labels, node attributes, edge labels, and edge attributes,\n varing from different dataset.\n\n Labels are mapped to :math:`\\lbrace 0,\\cdots,n-1 \\rbrace` where :math:`n` is the\n number of labels (some datasets have raw labels :math:`\\lbrace -1, 1 \\rbrace` which\n will be mapped to :math:`\\lbrace 0, 1 \\rbrace`). In previous versions, the minimum\n label was added so that :math:`\\lbrace -1, 1 \\rbrace` was mapped to\n :math:`\\lbrace 0, 2 \\rbrace`.\n \"\"\"\n\n _url = r\"https://www.chrsmrrs.com/graphkerneldatasets/{}.zip\"\n\n def __init__(self, name, raw_dir=None, force_reload=False, verbose=False):\n url = self._url.format(name)\n super(TUDataset, self).__init__(name=name, url=url,\n raw_dir=raw_dir, force_reload=force_reload,\n verbose=verbose)\n \n def process(self):\n DS_edge_list = self._idx_from_zero(\n loadtxt(self._file_path(\"A\"), delimiter=\",\").astype(int))\n DS_indicator = self._idx_from_zero(\n loadtxt(self._file_path(\"graph_indicator\"), delimiter=\",\").astype(int))\n \n if os.path.exists(self._file_path(\"graph_labels\")):\n DS_graph_labels = self._idx_reset(\n loadtxt(self._file_path(\"graph_labels\"), delimiter=\",\").astype(int)) \n self.num_labels = max(DS_graph_labels) + 1\n self.graph_labels = F.tensor(DS_graph_labels) \n elif os.path.exists(self._file_path(\"graph_attributes\")):\n DS_graph_labels = loadtxt(self._file_path(\"graph_attributes\"), delimiter=\",\").astype(float)\n self.num_labels = None\n self.graph_labels = F.tensor(DS_graph_labels) \n else:\n raise Exception(\"Unknown graph label or graph attributes\")\n\n g = dgl_graph(([], []))\n g.add_nodes(int(DS_edge_list.max()) + 1)\n g.add_edges(DS_edge_list[:, 0], DS_edge_list[:, 1])\n\n node_idx_list = []\n self.max_num_node = 0\n for idx in range(np.max(DS_indicator) + 1):\n node_idx = np.where(DS_indicator == idx)\n node_idx_list.append(node_idx[0])\n if len(node_idx[0]) > self.max_num_node:\n self.max_num_node = len(node_idx[0])\n\n\n self.attr_dict = {\n 'node_labels': ('ndata', 'node_labels'),\n 'node_attributes': ('ndata', 'node_attr'),\n 'edge_labels': ('edata', 'edge_labels'),\n 'edge_attributes': ('edata', 'node_labels'),\n }\n\n for filename, field_name in self.attr_dict.items():\n try:\n data = loadtxt(self._file_path(filename),\n delimiter=',')\n if 'label' in filename:\n data = F.tensor(self._idx_from_zero(data))\n else:\n data = F.tensor(data)\n getattr(g, field_name[0])[field_name[1]] = data\n except IOError:\n pass\n\n self.graph_lists = [g.subgraph(node_idx) for node_idx in node_idx_list]\n\n def save(self):\n graph_path = os.path.join(self.save_path, 'tu_{}.bin'.format(self.name))\n info_path = os.path.join(self.save_path, 'tu_{}.pkl'.format(self.name))\n label_dict = {'labels': self.graph_labels}\n info_dict = {'max_num_node': self.max_num_node,\n 'num_labels': self.num_labels}\n save_graphs(str(graph_path), self.graph_lists, label_dict)\n save_info(str(info_path), info_dict)\n\n def load(self):\n graph_path = os.path.join(self.save_path, 'tu_{}.bin'.format(self.name))\n info_path = os.path.join(self.save_path, 'tu_{}.pkl'.format(self.name))\n graphs, label_dict = load_graphs(str(graph_path))\n info_dict = load_info(str(info_path))\n\n self.graph_lists = graphs\n self.graph_labels = label_dict['labels']\n self.max_num_node = info_dict['max_num_node']\n self.num_labels = info_dict['num_labels']\n\n def has_cache(self):\n graph_path = os.path.join(self.save_path, 'tu_{}.bin'.format(self.name))\n info_path = os.path.join(self.save_path, 'tu_{}.pkl'.format(self.name))\n if os.path.exists(graph_path) and os.path.exists(info_path):\n return True\n return False\n\n def __getitem__(self, idx):\n \"\"\"Get the idx-th sample.\n\n Parameters\n ---------\n idx : int\n The sample index.\n\n Returns\n -------\n (:class:`dgl.DGLGraph`, Tensor)\n Graph with node feature stored in ``feat`` field and node label in ``node_label`` if available.\n And its label.\n \"\"\"\n g = self.graph_lists[idx]\n return g, self.graph_labels[idx]\n\n def __len__(self):\n \"\"\"Return the number of graphs in the dataset.\"\"\"\n return len(self.graph_lists)\n\n def _file_path(self, category):\n return os.path.join(self.raw_path, self.name,\n \"{}_{}.txt\".format(self.name, category))\n\n @staticmethod\n def _idx_from_zero(idx_tensor):\n return idx_tensor - np.min(idx_tensor)\n\n @staticmethod\n def _idx_reset(idx_tensor):\n \"\"\"Maps n unique labels to {0, ..., n-1} in an ordered fashion.\"\"\"\n labels = np.unique(idx_tensor)\n relabel_map = {x: i for i, x in enumerate(labels)}\n new_idx_tensor = np.vectorize(relabel_map.get)(idx_tensor)\n return new_idx_tensor\n\n def statistics(self):\n return self.graph_lists[0].ndata['feat'].shape[1], \\\n self.num_labels, \\\n self.max_num_node\n","path":"python/dgl/data/tu.py"}],"string":"[\n {\n \"content\": \"from __future__ import absolute_import\\nimport numpy as np\\nimport os\\n\\nfrom .dgl_dataset import DGLBuiltinDataset\\nfrom .utils import loadtxt, save_graphs, load_graphs, save_info, load_info\\nfrom .. import backend as F\\nfrom ..convert import graph as dgl_graph\\n\\nclass LegacyTUDataset(DGLBuiltinDataset):\\n r\\\"\\\"\\\"LegacyTUDataset contains lots of graph kernel datasets for graph classification.\\n\\n Parameters\\n ----------\\n name : str\\n Dataset Name, such as ``ENZYMES``, ``DD``, ``COLLAB``, ``MUTAG``, can be the \\n datasets name on `<https://chrsmrrs.github.io/datasets/docs/datasets/>`_.\\n use_pandas : bool\\n Numpy's file read function has performance issue when file is large,\\n using pandas can be faster.\\n Default: False\\n hidden_size : int\\n Some dataset doesn't contain features.\\n Use constant node features initialization instead, with hidden size as ``hidden_size``.\\n Default : 10\\n max_allow_node : int\\n Remove graphs that contains more nodes than ``max_allow_node``.\\n Default : None\\n\\n Attributes\\n ----------\\n max_num_node : int\\n Maximum number of nodes\\n num_labels : int\\n Number of classes\\n\\n Examples\\n --------\\n >>> data = LegacyTUDataset('DD')\\n\\n The dataset instance is an iterable\\n\\n >>> len(data)\\n 1178\\n >>> g, label = data[1024]\\n >>> g\\n Graph(num_nodes=88, num_edges=410,\\n ndata_schemes={'feat': Scheme(shape=(89,), dtype=torch.float32), '_ID': Scheme(shape=(), dtype=torch.int64)}\\n edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64)})\\n >>> label\\n tensor(1)\\n\\n Batch the graphs and labels for mini-batch training\\n\\n >>> graphs, labels = zip(*[data[i] for i in range(16)])\\n >>> batched_graphs = dgl.batch(graphs)\\n >>> batched_labels = torch.tensor(labels)\\n >>> batched_graphs\\n Graph(num_nodes=9539, num_edges=47382,\\n ndata_schemes={'feat': Scheme(shape=(89,), dtype=torch.float32), '_ID': Scheme(shape=(), dtype=torch.int64)}\\n edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64)})\\n\\n Notes\\n -----\\n LegacyTUDataset uses provided node feature by default. If no feature provided, it uses one-hot node label instead.\\n If neither labels provided, it uses constant for node feature.\\n \\\"\\\"\\\"\\n\\n _url = r\\\"https://www.chrsmrrs.com/graphkerneldatasets/{}.zip\\\"\\n\\n def __init__(self, name, use_pandas=False,\\n hidden_size=10, max_allow_node=None,\\n raw_dir=None, force_reload=False, verbose=False):\\n\\n url = self._url.format(name)\\n self.hidden_size = hidden_size\\n self.max_allow_node = max_allow_node\\n self.use_pandas = use_pandas\\n super(LegacyTUDataset, self).__init__(name=name, url=url, raw_dir=raw_dir,\\n hash_key=(name, use_pandas, hidden_size, max_allow_node),\\n force_reload=force_reload, verbose=verbose)\\n\\n def process(self):\\n self.data_mode = None\\n\\n if self.use_pandas:\\n import pandas as pd\\n DS_edge_list = self._idx_from_zero(\\n pd.read_csv(self._file_path(\\\"A\\\"), delimiter=\\\",\\\", dtype=int, header=None).values)\\n else:\\n DS_edge_list = self._idx_from_zero(\\n np.genfromtxt(self._file_path(\\\"A\\\"), delimiter=\\\",\\\", dtype=int))\\n\\n DS_indicator = self._idx_from_zero(\\n np.genfromtxt(self._file_path(\\\"graph_indicator\\\"), dtype=int))\\n if os.path.exists(self._file_path(\\\"graph_labels\\\")):\\n DS_graph_labels = self._idx_from_zero(\\n np.genfromtxt(self._file_path(\\\"graph_labels\\\"), dtype=int))\\n self.num_labels = max(DS_graph_labels) + 1\\n self.graph_labels = DS_graph_labels \\n elif os.path.exists(self._file_path(\\\"graph_attributes\\\")):\\n DS_graph_labels = np.genfromtxt(self._file_path(\\\"graph_attributes\\\"), dtype=float)\\n self.num_labels = None\\n self.graph_labels = DS_graph_labels\\n else:\\n raise Exception(\\\"Unknown graph label or graph attributes\\\")\\n\\n g = dgl_graph(([], []))\\n g.add_nodes(int(DS_edge_list.max()) + 1)\\n g.add_edges(DS_edge_list[:, 0], DS_edge_list[:, 1])\\n\\n node_idx_list = []\\n self.max_num_node = 0\\n for idx in range(np.max(DS_indicator) + 1):\\n node_idx = np.where(DS_indicator == idx)\\n node_idx_list.append(node_idx[0])\\n if len(node_idx[0]) > self.max_num_node:\\n self.max_num_node = len(node_idx[0])\\n\\n self.graph_lists = [g.subgraph(node_idx) for node_idx in node_idx_list]\\n\\n try:\\n DS_node_labels = self._idx_from_zero(\\n np.loadtxt(self._file_path(\\\"node_labels\\\"), dtype=int))\\n g.ndata['node_label'] = F.tensor(DS_node_labels)\\n one_hot_node_labels = self._to_onehot(DS_node_labels)\\n for idxs, g in zip(node_idx_list, self.graph_lists):\\n g.ndata['feat'] = F.tensor(one_hot_node_labels[idxs, :], F.float32)\\n self.data_mode = \\\"node_label\\\"\\n except IOError:\\n print(\\\"No Node Label Data\\\")\\n\\n try:\\n DS_node_attr = np.loadtxt(\\n self._file_path(\\\"node_attributes\\\"), delimiter=\\\",\\\")\\n if DS_node_attr.ndim == 1:\\n DS_node_attr = np.expand_dims(DS_node_attr, -1)\\n for idxs, g in zip(node_idx_list, self.graph_lists):\\n g.ndata['feat'] = F.tensor(DS_node_attr[idxs, :], F.float32)\\n self.data_mode = \\\"node_attr\\\"\\n except IOError:\\n print(\\\"No Node Attribute Data\\\")\\n\\n if 'feat' not in g.ndata.keys():\\n for idxs, g in zip(node_idx_list, self.graph_lists):\\n g.ndata['feat'] = F.ones((g.number_of_nodes(), self.hidden_size),\\n F.float32, F.cpu())\\n self.data_mode = \\\"constant\\\"\\n if self.verbose:\\n print(\\\"Use Constant one as Feature with hidden size {}\\\".format(self.hidden_size))\\n\\n # remove graphs that are too large by user given standard\\n # optional pre-processing steop in conformity with Rex Ying's original\\n # DiffPool implementation\\n if self.max_allow_node:\\n preserve_idx = []\\n if self.verbose:\\n print(\\\"original dataset length : \\\", len(self.graph_lists))\\n for (i, g) in enumerate(self.graph_lists):\\n if g.number_of_nodes() <= self.max_allow_node:\\n preserve_idx.append(i)\\n self.graph_lists = [self.graph_lists[i] for i in preserve_idx]\\n if self.verbose:\\n print(\\\"after pruning graphs that are too big : \\\", len(self.graph_lists))\\n self.graph_labels = [self.graph_labels[i] for i in preserve_idx]\\n self.max_num_node = self.max_allow_node\\n self.graph_labels = F.tensor(self.graph_labels)\\n\\n def save(self):\\n graph_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.bin'.format(self.name, self.hash))\\n info_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.pkl'.format(self.name, self.hash))\\n label_dict = {'labels': self.graph_labels}\\n info_dict = {'max_num_node': self.max_num_node,\\n 'num_labels': self.num_labels}\\n save_graphs(str(graph_path), self.graph_lists, label_dict)\\n save_info(str(info_path), info_dict)\\n\\n def load(self):\\n graph_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.bin'.format(self.name, self.hash))\\n info_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.pkl'.format(self.name, self.hash))\\n graphs, label_dict = load_graphs(str(graph_path))\\n info_dict = load_info(str(info_path))\\n\\n self.graph_lists = graphs\\n self.graph_labels = label_dict['labels']\\n self.max_num_node = info_dict['max_num_node']\\n self.num_labels = info_dict['num_labels']\\n\\n def has_cache(self):\\n graph_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.bin'.format(self.name, self.hash))\\n info_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.pkl'.format(self.name, self.hash))\\n if os.path.exists(graph_path) and os.path.exists(info_path):\\n return True\\n return False\\n\\n def __getitem__(self, idx):\\n \\\"\\\"\\\"Get the idx-th sample.\\n\\n Parameters\\n ---------\\n idx : int\\n The sample index.\\n\\n Returns\\n -------\\n (:class:`dgl.DGLGraph`, Tensor)\\n Graph with node feature stored in ``feat`` field and node label in ``node_label`` if available.\\n And its label.\\n \\\"\\\"\\\"\\n g = self.graph_lists[idx]\\n return g, self.graph_labels[idx]\\n\\n def __len__(self):\\n \\\"\\\"\\\"Return the number of graphs in the dataset.\\\"\\\"\\\"\\n return len(self.graph_lists)\\n\\n def _file_path(self, category):\\n return os.path.join(self.raw_path, self.name,\\n \\\"{}_{}.txt\\\".format(self.name, category))\\n\\n @staticmethod\\n def _idx_from_zero(idx_tensor):\\n return idx_tensor - np.min(idx_tensor)\\n\\n @staticmethod\\n def _to_onehot(label_tensor):\\n label_num = label_tensor.shape[0]\\n assert np.min(label_tensor) == 0\\n one_hot_tensor = np.zeros((label_num, np.max(label_tensor) + 1))\\n one_hot_tensor[np.arange(label_num), label_tensor] = 1\\n return one_hot_tensor\\n\\n def statistics(self):\\n return self.graph_lists[0].ndata['feat'].shape[1],\\\\\\n self.num_labels,\\\\\\n self.max_num_node\\n\\nclass TUDataset(DGLBuiltinDataset):\\n r\\\"\\\"\\\"\\n TUDataset contains lots of graph kernel datasets for graph classification.\\n\\n Parameters\\n ----------\\n name : str\\n Dataset Name, such as ``ENZYMES``, ``DD``, ``COLLAB``, ``MUTAG``, can be the \\n datasets name on `<https://chrsmrrs.github.io/datasets/docs/datasets/>`_.\\n\\n Attributes\\n ----------\\n max_num_node : int\\n Maximum number of nodes\\n num_labels : int\\n Number of classes\\n\\n Examples\\n --------\\n >>> data = TUDataset('DD')\\n\\n The dataset instance is an iterable\\n\\n >>> len(data)\\n 188\\n >>> g, label = data[1024]\\n >>> g\\n Graph(num_nodes=88, num_edges=410,\\n ndata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64), 'node_labels': Scheme(shape=(1,), dtype=torch.int64)}\\n edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64)})\\n >>> label\\n tensor([1])\\n\\n Batch the graphs and labels for mini-batch training\\n\\n >>> graphs, labels = zip(*[data[i] for i in range(16)])\\n >>> batched_graphs = dgl.batch(graphs)\\n >>> batched_labels = torch.tensor(labels)\\n >>> batched_graphs\\n Graph(num_nodes=9539, num_edges=47382,\\n ndata_schemes={'node_labels': Scheme(shape=(1,), dtype=torch.int64), '_ID': Scheme(shape=(), dtype=torch.int64)}\\n edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64)})\\n\\n Notes\\n -----\\n Graphs may have node labels, node attributes, edge labels, and edge attributes,\\n varing from different dataset.\\n\\n Labels are mapped to :math:`\\\\lbrace 0,\\\\cdots,n-1 \\\\rbrace` where :math:`n` is the\\n number of labels (some datasets have raw labels :math:`\\\\lbrace -1, 1 \\\\rbrace` which\\n will be mapped to :math:`\\\\lbrace 0, 1 \\\\rbrace`). In previous versions, the minimum\\n label was added so that :math:`\\\\lbrace -1, 1 \\\\rbrace` was mapped to\\n :math:`\\\\lbrace 0, 2 \\\\rbrace`.\\n \\\"\\\"\\\"\\n\\n _url = r\\\"https://www.chrsmrrs.com/graphkerneldatasets/{}.zip\\\"\\n\\n def __init__(self, name, raw_dir=None, force_reload=False, verbose=False):\\n url = self._url.format(name)\\n super(TUDataset, self).__init__(name=name, url=url,\\n raw_dir=raw_dir, force_reload=force_reload,\\n verbose=verbose)\\n \\n def process(self):\\n DS_edge_list = self._idx_from_zero(\\n loadtxt(self._file_path(\\\"A\\\"), delimiter=\\\",\\\").astype(int))\\n DS_indicator = self._idx_from_zero(\\n loadtxt(self._file_path(\\\"graph_indicator\\\"), delimiter=\\\",\\\").astype(int))\\n \\n if os.path.exists(self._file_path(\\\"graph_labels\\\")):\\n DS_graph_labels = self._idx_reset(\\n loadtxt(self._file_path(\\\"graph_labels\\\"), delimiter=\\\",\\\").astype(int)) \\n self.num_labels = max(DS_graph_labels) + 1\\n self.graph_labels = F.tensor(DS_graph_labels) \\n elif os.path.exists(self._file_path(\\\"graph_attributes\\\")):\\n DS_graph_labels = loadtxt(self._file_path(\\\"graph_attributes\\\"), delimiter=\\\",\\\").astype(float)\\n self.num_labels = None\\n self.graph_labels = F.tensor(DS_graph_labels) \\n else:\\n raise Exception(\\\"Unknown graph label or graph attributes\\\")\\n\\n g = dgl_graph(([], []))\\n g.add_nodes(int(DS_edge_list.max()) + 1)\\n g.add_edges(DS_edge_list[:, 0], DS_edge_list[:, 1])\\n\\n node_idx_list = []\\n self.max_num_node = 0\\n for idx in range(np.max(DS_indicator) + 1):\\n node_idx = np.where(DS_indicator == idx)\\n node_idx_list.append(node_idx[0])\\n if len(node_idx[0]) > self.max_num_node:\\n self.max_num_node = len(node_idx[0])\\n\\n\\n self.attr_dict = {\\n 'node_labels': ('ndata', 'node_labels'),\\n 'node_attributes': ('ndata', 'node_attr'),\\n 'edge_labels': ('edata', 'edge_labels'),\\n 'edge_attributes': ('edata', 'node_labels'),\\n }\\n\\n for filename, field_name in self.attr_dict.items():\\n try:\\n data = loadtxt(self._file_path(filename),\\n delimiter=',')\\n if 'label' in filename:\\n data = F.tensor(self._idx_from_zero(data))\\n else:\\n data = F.tensor(data)\\n getattr(g, field_name[0])[field_name[1]] = data\\n except IOError:\\n pass\\n\\n self.graph_lists = [g.subgraph(node_idx) for node_idx in node_idx_list]\\n\\n def save(self):\\n graph_path = os.path.join(self.save_path, 'tu_{}.bin'.format(self.name))\\n info_path = os.path.join(self.save_path, 'tu_{}.pkl'.format(self.name))\\n label_dict = {'labels': self.graph_labels}\\n info_dict = {'max_num_node': self.max_num_node,\\n 'num_labels': self.num_labels}\\n save_graphs(str(graph_path), self.graph_lists, label_dict)\\n save_info(str(info_path), info_dict)\\n\\n def load(self):\\n graph_path = os.path.join(self.save_path, 'tu_{}.bin'.format(self.name))\\n info_path = os.path.join(self.save_path, 'tu_{}.pkl'.format(self.name))\\n graphs, label_dict = load_graphs(str(graph_path))\\n info_dict = load_info(str(info_path))\\n\\n self.graph_lists = graphs\\n self.graph_labels = label_dict['labels']\\n self.max_num_node = info_dict['max_num_node']\\n self.num_labels = info_dict['num_labels']\\n\\n def has_cache(self):\\n graph_path = os.path.join(self.save_path, 'tu_{}.bin'.format(self.name))\\n info_path = os.path.join(self.save_path, 'tu_{}.pkl'.format(self.name))\\n if os.path.exists(graph_path) and os.path.exists(info_path):\\n return True\\n return False\\n\\n def __getitem__(self, idx):\\n \\\"\\\"\\\"Get the idx-th sample.\\n\\n Parameters\\n ---------\\n idx : int\\n The sample index.\\n\\n Returns\\n -------\\n (:class:`dgl.DGLGraph`, Tensor)\\n Graph with node feature stored in ``feat`` field and node label in ``node_label`` if available.\\n And its label.\\n \\\"\\\"\\\"\\n g = self.graph_lists[idx]\\n return g, self.graph_labels[idx]\\n\\n def __len__(self):\\n \\\"\\\"\\\"Return the number of graphs in the dataset.\\\"\\\"\\\"\\n return len(self.graph_lists)\\n\\n def _file_path(self, category):\\n return os.path.join(self.raw_path, self.name,\\n \\\"{}_{}.txt\\\".format(self.name, category))\\n\\n @staticmethod\\n def _idx_from_zero(idx_tensor):\\n return idx_tensor - np.min(idx_tensor)\\n\\n @staticmethod\\n def _idx_reset(idx_tensor):\\n \\\"\\\"\\\"Maps n unique labels to {0, ..., n-1} in an ordered fashion.\\\"\\\"\\\"\\n labels = np.unique(idx_tensor)\\n relabel_map = {x: i for i, x in enumerate(labels)}\\n new_idx_tensor = np.vectorize(relabel_map.get)(idx_tensor)\\n return new_idx_tensor\\n\\n def statistics(self):\\n return self.graph_lists[0].ndata['feat'].shape[1], \\\\\\n self.num_labels, \\\\\\n self.max_num_node\\n\",\n \"path\": \"python/dgl/data/tu.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"from __future__ import absolute_import\nimport numpy as np\nimport os\n\nfrom .dgl_dataset import DGLBuiltinDataset\nfrom .utils import loadtxt, save_graphs, load_graphs, save_info, load_info\nfrom .. import backend as F\nfrom ..convert import graph as dgl_graph\n\nclass LegacyTUDataset(DGLBuiltinDataset):\n r\"\"\"LegacyTUDataset contains lots of graph kernel datasets for graph classification.\n\n Parameters\n ----------\n name : str\n Dataset Name, such as ``ENZYMES``, ``DD``, ``COLLAB``, ``MUTAG``, can be the \n datasets name on `<https://chrsmrrs.github.io/datasets/docs/datasets/>`_.\n use_pandas : bool\n Numpy's file read function has performance issue when file is large,\n using pandas can be faster.\n Default: False\n hidden_size : int\n Some dataset doesn't contain features.\n Use constant node features initialization instead, with hidden size as ``hidden_size``.\n Default : 10\n max_allow_node : int\n Remove graphs that contains more nodes than ``max_allow_node``.\n Default : None\n\n Attributes\n ----------\n max_num_node : int\n Maximum number of nodes\n num_labels : int\n Number of classes\n\n Examples\n --------\n >>> data = LegacyTUDataset('DD')\n\n The dataset instance is an iterable\n\n >>> len(data)\n 1178\n >>> g, label = data[1024]\n >>> g\n Graph(num_nodes=88, num_edges=410,\n ndata_schemes={'feat': Scheme(shape=(89,), dtype=torch.float32), '_ID': Scheme(shape=(), dtype=torch.int64)}\n edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64)})\n >>> label\n tensor(1)\n\n Batch the graphs and labels for mini-batch training\n\n >>> graphs, labels = zip(*[data[i] for i in range(16)])\n >>> batched_graphs = dgl.batch(graphs)\n >>> batched_labels = torch.tensor(labels)\n >>> batched_graphs\n Graph(num_nodes=9539, num_edges=47382,\n ndata_schemes={'feat': Scheme(shape=(89,), dtype=torch.float32), '_ID': Scheme(shape=(), dtype=torch.int64)}\n edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64)})\n\n Notes\n -----\n LegacyTUDataset uses provided node feature by default. If no feature provided, it uses one-hot node label instead.\n If neither labels provided, it uses constant for node feature.\n \"\"\"\n\n _url = r\"https://www.chrsmrrs.com/graphkerneldatasets/{}.zip\"\n\n def __init__(self, name, use_pandas=False,\n hidden_size=10, max_allow_node=None,\n raw_dir=None, force_reload=False, verbose=False):\n\n url = self._url.format(name)\n self.hidden_size = hidden_size\n self.max_allow_node = max_allow_node\n self.use_pandas = use_pandas\n super(LegacyTUDataset, self).__init__(name=name, url=url, raw_dir=raw_dir,\n hash_key=(name, use_pandas, hidden_size, max_allow_node),\n force_reload=force_reload, verbose=verbose)\n\n def process(self):\n self.data_mode = None\n\n if self.use_pandas:\n import pandas as pd\n DS_edge_list = self._idx_from_zero(\n pd.read_csv(self._file_path(\"A\"), delimiter=\",\", dtype=int, header=None).values)\n else:\n DS_edge_list = self._idx_from_zero(\n np.genfromtxt(self._file_path(\"A\"), delimiter=\",\", dtype=int))\n\n DS_indicator = self._idx_from_zero(\n np.genfromtxt(self._file_path(\"graph_indicator\"), dtype=int))\n if os.path.exists(self._file_path(\"graph_labels\")):\n DS_graph_labels = self._idx_from_zero(\n np.genfromtxt(self._file_path(\"graph_labels\"), dtype=int))\n self.num_labels = max(DS_graph_labels) + 1\n self.graph_labels = DS_graph_labels \n elif os.path.exists(self._file_path(\"graph_attributes\")):\n DS_graph_labels = np.genfromtxt(self._file_path(\"graph_attributes\"), dtype=float)\n self.num_labels = None\n self.graph_labels = DS_graph_labels\n else:\n raise Exception(\"Unknown graph label or graph attributes\")\n\n g = dgl_graph(([], []))\n g.add_nodes(int(DS_edge_list.max()) + 1)\n g.add_edges(DS_edge_list[:, 0], DS_edge_list[:, 1])\n\n node_idx_list = []\n self.max_num_node = 0\n for idx in range(np.max(DS_indicator) + 1):\n node_idx = np.where(DS_indicator == idx)\n node_idx_list.append(node_idx[0])\n if len(node_idx[0]) > self.max_num_node:\n self.max_num_node = len(node_idx[0])\n\n self.graph_lists = [g.subgraph(node_idx) for node_idx in node_idx_list]\n\n try:\n DS_node_labels = self._idx_from_zero(\n np.loadtxt(self._file_path(\"node_labels\"), dtype=int))\n g.ndata['node_label'] = F.tensor(DS_node_labels)\n one_hot_node_labels = self._to_onehot(DS_node_labels)\n for idxs, g in zip(node_idx_list, self.graph_lists):\n g.ndata['feat'] = F.tensor(one_hot_node_labels[idxs, :], F.float32)\n self.data_mode = \"node_label\"\n except IOError:\n print(\"No Node Label Data\")\n\n try:\n DS_node_attr = np.loadtxt(\n self._file_path(\"node_attributes\"), delimiter=\",\")\n if DS_node_attr.ndim == 1:\n DS_node_attr = np.expand_dims(DS_node_attr, -1)\n for idxs, g in zip(node_idx_list, self.graph_lists):\n g.ndata['feat'] = F.tensor(DS_node_attr[idxs, :], F.float32)\n self.data_mode = \"node_attr\"\n except IOError:\n print(\"No Node Attribute Data\")\n\n if 'feat' not in g.ndata.keys():\n for idxs, g in zip(node_idx_list, self.graph_lists):\n g.ndata['feat'] = F.ones((g.number_of_nodes(), self.hidden_size),\n F.float32, F.cpu())\n self.data_mode = \"constant\"\n if self.verbose:\n print(\"Use Constant one as Feature with hidden size {}\".format(self.hidden_size))\n\n # remove graphs that are too large by user given standard\n # optional pre-processing steop in conformity with Rex Ying's original\n # DiffPool implementation\n if self.max_allow_node:\n preserve_idx = []\n if self.verbose:\n print(\"original dataset length : \", len(self.graph_lists))\n for (i, g) in enumerate(self.graph_lists):\n if g.number_of_nodes() <= self.max_allow_node:\n preserve_idx.append(i)\n self.graph_lists = [self.graph_lists[i] for i in preserve_idx]\n if self.verbose:\n print(\"after pruning graphs that are too big : \", len(self.graph_lists))\n self.graph_labels = [self.graph_labels[i] for i in preserve_idx]\n self.max_num_node = self.max_allow_node\n self.graph_labels = F.tensor(self.graph_labels)\n\n def save(self):\n graph_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.bin'.format(self.name, self.hash))\n info_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.pkl'.format(self.name, self.hash))\n label_dict = {'labels': self.graph_labels}\n info_dict = {'max_num_node': self.max_num_node,\n 'num_labels': self.num_labels}\n save_graphs(str(graph_path), self.graph_lists, label_dict)\n save_info(str(info_path), info_dict)\n\n def load(self):\n graph_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.bin'.format(self.name, self.hash))\n info_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.pkl'.format(self.name, self.hash))\n graphs, label_dict = load_graphs(str(graph_path))\n info_dict = load_info(str(info_path))\n\n self.graph_lists = graphs\n self.graph_labels = label_dict['labels']\n self.max_num_node = info_dict['max_num_node']\n self.num_labels = info_dict['num_labels']\n\n def has_cache(self):\n graph_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.bin'.format(self.name, self.hash))\n info_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.pkl'.format(self.name, self.hash))\n if os.path.exists(graph_path) and os.path.exists(info_path):\n return True\n return False\n\n def __getitem__(self, idx):\n \"\"\"Get the idx-th sample.\n\n Parameters\n ---------\n idx : int\n The sample index.\n\n Returns\n -------\n (:class:`dgl.DGLGraph`, Tensor)\n Graph with node feature stored in ``feat`` field and node label in ``node_label`` if available.\n And its label.\n \"\"\"\n g = self.graph_lists[idx]\n return g, self.graph_labels[idx]\n\n def __len__(self):\n \"\"\"Return the number of graphs in the dataset.\"\"\"\n return len(self.graph_lists)\n\n def _file_path(self, category):\n return os.path.join(self.raw_path, self.name,\n \"{}_{}.txt\".format(self.name, category))\n\n @staticmethod\n def _idx_from_zero(idx_tensor):\n return idx_tensor - np.min(idx_tensor)\n\n @staticmethod\n def _to_onehot(label_tensor):\n label_num = label_tensor.shape[0]\n assert np.min(label_tensor) == 0\n one_hot_tensor = np.zeros((label_num, np.max(label_tensor) + 1))\n one_hot_tensor[np.arange(label_num), label_tensor] = 1\n return one_hot_tensor\n\n def statistics(self):\n return self.graph_lists[0].ndata['feat'].shape[1],\\\n self.num_labels,\\\n self.max_num_node\n\nclass TUDataset(DGLBuiltinDataset):\n r\"\"\"\n TUDataset contains lots of graph kernel datasets for graph classification.\n\n Parameters\n ----------\n name : str\n Dataset Name, such as ``ENZYMES``, ``DD``, ``COLLAB``, ``MUTAG``, can be the \n datasets name on `<https://chrsmrrs.github.io/datasets/docs/datasets/>`_.\n\n Attributes\n ----------\n max_num_node : int\n Maximum number of nodes\n num_labels : int\n Number of classes\n\n Notes\n -----\n **IMPORTANT:** Some of the datasets have duplicate edges exist in the graphs, e.g.\n the edges in ``IMDB-BINARY`` are all duplicated. DGL faithfully keeps the duplicates\n as per the original data. Other frameworks such as PyTorch Geometric removes the\n duplicates by default. You can remove the duplicate edges with :func:`dgl.to_simple`.\n\n Examples\n --------\n >>> data = TUDataset('DD')\n\n The dataset instance is an iterable\n\n >>> len(data)\n 188\n >>> g, label = data[1024]\n >>> g\n Graph(num_nodes=88, num_edges=410,\n ndata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64), 'node_labels': Scheme(shape=(1,), dtype=torch.int64)}\n edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64)})\n >>> label\n tensor([1])\n\n Batch the graphs and labels for mini-batch training\n\n >>> graphs, labels = zip(*[data[i] for i in range(16)])\n >>> batched_graphs = dgl.batch(graphs)\n >>> batched_labels = torch.tensor(labels)\n >>> batched_graphs\n Graph(num_nodes=9539, num_edges=47382,\n ndata_schemes={'node_labels': Scheme(shape=(1,), dtype=torch.int64), '_ID': Scheme(shape=(), dtype=torch.int64)}\n edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64)})\n\n Notes\n -----\n Graphs may have node labels, node attributes, edge labels, and edge attributes,\n varing from different dataset.\n\n Labels are mapped to :math:`\\lbrace 0,\\cdots,n-1 \\rbrace` where :math:`n` is the\n number of labels (some datasets have raw labels :math:`\\lbrace -1, 1 \\rbrace` which\n will be mapped to :math:`\\lbrace 0, 1 \\rbrace`). In previous versions, the minimum\n label was added so that :math:`\\lbrace -1, 1 \\rbrace` was mapped to\n :math:`\\lbrace 0, 2 \\rbrace`.\n \"\"\"\n\n _url = r\"https://www.chrsmrrs.com/graphkerneldatasets/{}.zip\"\n\n def __init__(self, name, raw_dir=None, force_reload=False, verbose=False):\n url = self._url.format(name)\n super(TUDataset, self).__init__(name=name, url=url,\n raw_dir=raw_dir, force_reload=force_reload,\n verbose=verbose)\n \n def process(self):\n DS_edge_list = self._idx_from_zero(\n loadtxt(self._file_path(\"A\"), delimiter=\",\").astype(int))\n DS_indicator = self._idx_from_zero(\n loadtxt(self._file_path(\"graph_indicator\"), delimiter=\",\").astype(int))\n \n if os.path.exists(self._file_path(\"graph_labels\")):\n DS_graph_labels = self._idx_reset(\n loadtxt(self._file_path(\"graph_labels\"), delimiter=\",\").astype(int)) \n self.num_labels = max(DS_graph_labels) + 1\n self.graph_labels = F.tensor(DS_graph_labels) \n elif os.path.exists(self._file_path(\"graph_attributes\")):\n DS_graph_labels = loadtxt(self._file_path(\"graph_attributes\"), delimiter=\",\").astype(float)\n self.num_labels = None\n self.graph_labels = F.tensor(DS_graph_labels) \n else:\n raise Exception(\"Unknown graph label or graph attributes\")\n\n g = dgl_graph(([], []))\n g.add_nodes(int(DS_edge_list.max()) + 1)\n g.add_edges(DS_edge_list[:, 0], DS_edge_list[:, 1])\n\n node_idx_list = []\n self.max_num_node = 0\n for idx in range(np.max(DS_indicator) + 1):\n node_idx = np.where(DS_indicator == idx)\n node_idx_list.append(node_idx[0])\n if len(node_idx[0]) > self.max_num_node:\n self.max_num_node = len(node_idx[0])\n\n\n self.attr_dict = {\n 'node_labels': ('ndata', 'node_labels'),\n 'node_attributes': ('ndata', 'node_attr'),\n 'edge_labels': ('edata', 'edge_labels'),\n 'edge_attributes': ('edata', 'node_labels'),\n }\n\n for filename, field_name in self.attr_dict.items():\n try:\n data = loadtxt(self._file_path(filename),\n delimiter=',')\n if 'label' in filename:\n data = F.tensor(self._idx_from_zero(data))\n else:\n data = F.tensor(data)\n getattr(g, field_name[0])[field_name[1]] = data\n except IOError:\n pass\n\n self.graph_lists = [g.subgraph(node_idx) for node_idx in node_idx_list]\n\n def save(self):\n graph_path = os.path.join(self.save_path, 'tu_{}.bin'.format(self.name))\n info_path = os.path.join(self.save_path, 'tu_{}.pkl'.format(self.name))\n label_dict = {'labels': self.graph_labels}\n info_dict = {'max_num_node': self.max_num_node,\n 'num_labels': self.num_labels}\n save_graphs(str(graph_path), self.graph_lists, label_dict)\n save_info(str(info_path), info_dict)\n\n def load(self):\n graph_path = os.path.join(self.save_path, 'tu_{}.bin'.format(self.name))\n info_path = os.path.join(self.save_path, 'tu_{}.pkl'.format(self.name))\n graphs, label_dict = load_graphs(str(graph_path))\n info_dict = load_info(str(info_path))\n\n self.graph_lists = graphs\n self.graph_labels = label_dict['labels']\n self.max_num_node = info_dict['max_num_node']\n self.num_labels = info_dict['num_labels']\n\n def has_cache(self):\n graph_path = os.path.join(self.save_path, 'tu_{}.bin'.format(self.name))\n info_path = os.path.join(self.save_path, 'tu_{}.pkl'.format(self.name))\n if os.path.exists(graph_path) and os.path.exists(info_path):\n return True\n return False\n\n def __getitem__(self, idx):\n \"\"\"Get the idx-th sample.\n\n Parameters\n ---------\n idx : int\n The sample index.\n\n Returns\n -------\n (:class:`dgl.DGLGraph`, Tensor)\n Graph with node feature stored in ``feat`` field and node label in ``node_label`` if available.\n And its label.\n \"\"\"\n g = self.graph_lists[idx]\n return g, self.graph_labels[idx]\n\n def __len__(self):\n \"\"\"Return the number of graphs in the dataset.\"\"\"\n return len(self.graph_lists)\n\n def _file_path(self, category):\n return os.path.join(self.raw_path, self.name,\n \"{}_{}.txt\".format(self.name, category))\n\n @staticmethod\n def _idx_from_zero(idx_tensor):\n return idx_tensor - np.min(idx_tensor)\n\n @staticmethod\n def _idx_reset(idx_tensor):\n \"\"\"Maps n unique labels to {0, ..., n-1} in an ordered fashion.\"\"\"\n labels = np.unique(idx_tensor)\n relabel_map = {x: i for i, x in enumerate(labels)}\n new_idx_tensor = np.vectorize(relabel_map.get)(idx_tensor)\n return new_idx_tensor\n\n def statistics(self):\n return self.graph_lists[0].ndata['feat'].shape[1], \\\n self.num_labels, \\\n self.max_num_node\n","path":"python/dgl/data/tu.py"}],"string":"[\n {\n \"content\": \"from __future__ import absolute_import\\nimport numpy as np\\nimport os\\n\\nfrom .dgl_dataset import DGLBuiltinDataset\\nfrom .utils import loadtxt, save_graphs, load_graphs, save_info, load_info\\nfrom .. import backend as F\\nfrom ..convert import graph as dgl_graph\\n\\nclass LegacyTUDataset(DGLBuiltinDataset):\\n r\\\"\\\"\\\"LegacyTUDataset contains lots of graph kernel datasets for graph classification.\\n\\n Parameters\\n ----------\\n name : str\\n Dataset Name, such as ``ENZYMES``, ``DD``, ``COLLAB``, ``MUTAG``, can be the \\n datasets name on `<https://chrsmrrs.github.io/datasets/docs/datasets/>`_.\\n use_pandas : bool\\n Numpy's file read function has performance issue when file is large,\\n using pandas can be faster.\\n Default: False\\n hidden_size : int\\n Some dataset doesn't contain features.\\n Use constant node features initialization instead, with hidden size as ``hidden_size``.\\n Default : 10\\n max_allow_node : int\\n Remove graphs that contains more nodes than ``max_allow_node``.\\n Default : None\\n\\n Attributes\\n ----------\\n max_num_node : int\\n Maximum number of nodes\\n num_labels : int\\n Number of classes\\n\\n Examples\\n --------\\n >>> data = LegacyTUDataset('DD')\\n\\n The dataset instance is an iterable\\n\\n >>> len(data)\\n 1178\\n >>> g, label = data[1024]\\n >>> g\\n Graph(num_nodes=88, num_edges=410,\\n ndata_schemes={'feat': Scheme(shape=(89,), dtype=torch.float32), '_ID': Scheme(shape=(), dtype=torch.int64)}\\n edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64)})\\n >>> label\\n tensor(1)\\n\\n Batch the graphs and labels for mini-batch training\\n\\n >>> graphs, labels = zip(*[data[i] for i in range(16)])\\n >>> batched_graphs = dgl.batch(graphs)\\n >>> batched_labels = torch.tensor(labels)\\n >>> batched_graphs\\n Graph(num_nodes=9539, num_edges=47382,\\n ndata_schemes={'feat': Scheme(shape=(89,), dtype=torch.float32), '_ID': Scheme(shape=(), dtype=torch.int64)}\\n edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64)})\\n\\n Notes\\n -----\\n LegacyTUDataset uses provided node feature by default. If no feature provided, it uses one-hot node label instead.\\n If neither labels provided, it uses constant for node feature.\\n \\\"\\\"\\\"\\n\\n _url = r\\\"https://www.chrsmrrs.com/graphkerneldatasets/{}.zip\\\"\\n\\n def __init__(self, name, use_pandas=False,\\n hidden_size=10, max_allow_node=None,\\n raw_dir=None, force_reload=False, verbose=False):\\n\\n url = self._url.format(name)\\n self.hidden_size = hidden_size\\n self.max_allow_node = max_allow_node\\n self.use_pandas = use_pandas\\n super(LegacyTUDataset, self).__init__(name=name, url=url, raw_dir=raw_dir,\\n hash_key=(name, use_pandas, hidden_size, max_allow_node),\\n force_reload=force_reload, verbose=verbose)\\n\\n def process(self):\\n self.data_mode = None\\n\\n if self.use_pandas:\\n import pandas as pd\\n DS_edge_list = self._idx_from_zero(\\n pd.read_csv(self._file_path(\\\"A\\\"), delimiter=\\\",\\\", dtype=int, header=None).values)\\n else:\\n DS_edge_list = self._idx_from_zero(\\n np.genfromtxt(self._file_path(\\\"A\\\"), delimiter=\\\",\\\", dtype=int))\\n\\n DS_indicator = self._idx_from_zero(\\n np.genfromtxt(self._file_path(\\\"graph_indicator\\\"), dtype=int))\\n if os.path.exists(self._file_path(\\\"graph_labels\\\")):\\n DS_graph_labels = self._idx_from_zero(\\n np.genfromtxt(self._file_path(\\\"graph_labels\\\"), dtype=int))\\n self.num_labels = max(DS_graph_labels) + 1\\n self.graph_labels = DS_graph_labels \\n elif os.path.exists(self._file_path(\\\"graph_attributes\\\")):\\n DS_graph_labels = np.genfromtxt(self._file_path(\\\"graph_attributes\\\"), dtype=float)\\n self.num_labels = None\\n self.graph_labels = DS_graph_labels\\n else:\\n raise Exception(\\\"Unknown graph label or graph attributes\\\")\\n\\n g = dgl_graph(([], []))\\n g.add_nodes(int(DS_edge_list.max()) + 1)\\n g.add_edges(DS_edge_list[:, 0], DS_edge_list[:, 1])\\n\\n node_idx_list = []\\n self.max_num_node = 0\\n for idx in range(np.max(DS_indicator) + 1):\\n node_idx = np.where(DS_indicator == idx)\\n node_idx_list.append(node_idx[0])\\n if len(node_idx[0]) > self.max_num_node:\\n self.max_num_node = len(node_idx[0])\\n\\n self.graph_lists = [g.subgraph(node_idx) for node_idx in node_idx_list]\\n\\n try:\\n DS_node_labels = self._idx_from_zero(\\n np.loadtxt(self._file_path(\\\"node_labels\\\"), dtype=int))\\n g.ndata['node_label'] = F.tensor(DS_node_labels)\\n one_hot_node_labels = self._to_onehot(DS_node_labels)\\n for idxs, g in zip(node_idx_list, self.graph_lists):\\n g.ndata['feat'] = F.tensor(one_hot_node_labels[idxs, :], F.float32)\\n self.data_mode = \\\"node_label\\\"\\n except IOError:\\n print(\\\"No Node Label Data\\\")\\n\\n try:\\n DS_node_attr = np.loadtxt(\\n self._file_path(\\\"node_attributes\\\"), delimiter=\\\",\\\")\\n if DS_node_attr.ndim == 1:\\n DS_node_attr = np.expand_dims(DS_node_attr, -1)\\n for idxs, g in zip(node_idx_list, self.graph_lists):\\n g.ndata['feat'] = F.tensor(DS_node_attr[idxs, :], F.float32)\\n self.data_mode = \\\"node_attr\\\"\\n except IOError:\\n print(\\\"No Node Attribute Data\\\")\\n\\n if 'feat' not in g.ndata.keys():\\n for idxs, g in zip(node_idx_list, self.graph_lists):\\n g.ndata['feat'] = F.ones((g.number_of_nodes(), self.hidden_size),\\n F.float32, F.cpu())\\n self.data_mode = \\\"constant\\\"\\n if self.verbose:\\n print(\\\"Use Constant one as Feature with hidden size {}\\\".format(self.hidden_size))\\n\\n # remove graphs that are too large by user given standard\\n # optional pre-processing steop in conformity with Rex Ying's original\\n # DiffPool implementation\\n if self.max_allow_node:\\n preserve_idx = []\\n if self.verbose:\\n print(\\\"original dataset length : \\\", len(self.graph_lists))\\n for (i, g) in enumerate(self.graph_lists):\\n if g.number_of_nodes() <= self.max_allow_node:\\n preserve_idx.append(i)\\n self.graph_lists = [self.graph_lists[i] for i in preserve_idx]\\n if self.verbose:\\n print(\\\"after pruning graphs that are too big : \\\", len(self.graph_lists))\\n self.graph_labels = [self.graph_labels[i] for i in preserve_idx]\\n self.max_num_node = self.max_allow_node\\n self.graph_labels = F.tensor(self.graph_labels)\\n\\n def save(self):\\n graph_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.bin'.format(self.name, self.hash))\\n info_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.pkl'.format(self.name, self.hash))\\n label_dict = {'labels': self.graph_labels}\\n info_dict = {'max_num_node': self.max_num_node,\\n 'num_labels': self.num_labels}\\n save_graphs(str(graph_path), self.graph_lists, label_dict)\\n save_info(str(info_path), info_dict)\\n\\n def load(self):\\n graph_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.bin'.format(self.name, self.hash))\\n info_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.pkl'.format(self.name, self.hash))\\n graphs, label_dict = load_graphs(str(graph_path))\\n info_dict = load_info(str(info_path))\\n\\n self.graph_lists = graphs\\n self.graph_labels = label_dict['labels']\\n self.max_num_node = info_dict['max_num_node']\\n self.num_labels = info_dict['num_labels']\\n\\n def has_cache(self):\\n graph_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.bin'.format(self.name, self.hash))\\n info_path = os.path.join(self.save_path, 'legacy_tu_{}_{}.pkl'.format(self.name, self.hash))\\n if os.path.exists(graph_path) and os.path.exists(info_path):\\n return True\\n return False\\n\\n def __getitem__(self, idx):\\n \\\"\\\"\\\"Get the idx-th sample.\\n\\n Parameters\\n ---------\\n idx : int\\n The sample index.\\n\\n Returns\\n -------\\n (:class:`dgl.DGLGraph`, Tensor)\\n Graph with node feature stored in ``feat`` field and node label in ``node_label`` if available.\\n And its label.\\n \\\"\\\"\\\"\\n g = self.graph_lists[idx]\\n return g, self.graph_labels[idx]\\n\\n def __len__(self):\\n \\\"\\\"\\\"Return the number of graphs in the dataset.\\\"\\\"\\\"\\n return len(self.graph_lists)\\n\\n def _file_path(self, category):\\n return os.path.join(self.raw_path, self.name,\\n \\\"{}_{}.txt\\\".format(self.name, category))\\n\\n @staticmethod\\n def _idx_from_zero(idx_tensor):\\n return idx_tensor - np.min(idx_tensor)\\n\\n @staticmethod\\n def _to_onehot(label_tensor):\\n label_num = label_tensor.shape[0]\\n assert np.min(label_tensor) == 0\\n one_hot_tensor = np.zeros((label_num, np.max(label_tensor) + 1))\\n one_hot_tensor[np.arange(label_num), label_tensor] = 1\\n return one_hot_tensor\\n\\n def statistics(self):\\n return self.graph_lists[0].ndata['feat'].shape[1],\\\\\\n self.num_labels,\\\\\\n self.max_num_node\\n\\nclass TUDataset(DGLBuiltinDataset):\\n r\\\"\\\"\\\"\\n TUDataset contains lots of graph kernel datasets for graph classification.\\n\\n Parameters\\n ----------\\n name : str\\n Dataset Name, such as ``ENZYMES``, ``DD``, ``COLLAB``, ``MUTAG``, can be the \\n datasets name on `<https://chrsmrrs.github.io/datasets/docs/datasets/>`_.\\n\\n Attributes\\n ----------\\n max_num_node : int\\n Maximum number of nodes\\n num_labels : int\\n Number of classes\\n\\n Notes\\n -----\\n **IMPORTANT:** Some of the datasets have duplicate edges exist in the graphs, e.g.\\n the edges in ``IMDB-BINARY`` are all duplicated. DGL faithfully keeps the duplicates\\n as per the original data. Other frameworks such as PyTorch Geometric removes the\\n duplicates by default. You can remove the duplicate edges with :func:`dgl.to_simple`.\\n\\n Examples\\n --------\\n >>> data = TUDataset('DD')\\n\\n The dataset instance is an iterable\\n\\n >>> len(data)\\n 188\\n >>> g, label = data[1024]\\n >>> g\\n Graph(num_nodes=88, num_edges=410,\\n ndata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64), 'node_labels': Scheme(shape=(1,), dtype=torch.int64)}\\n edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64)})\\n >>> label\\n tensor([1])\\n\\n Batch the graphs and labels for mini-batch training\\n\\n >>> graphs, labels = zip(*[data[i] for i in range(16)])\\n >>> batched_graphs = dgl.batch(graphs)\\n >>> batched_labels = torch.tensor(labels)\\n >>> batched_graphs\\n Graph(num_nodes=9539, num_edges=47382,\\n ndata_schemes={'node_labels': Scheme(shape=(1,), dtype=torch.int64), '_ID': Scheme(shape=(), dtype=torch.int64)}\\n edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64)})\\n\\n Notes\\n -----\\n Graphs may have node labels, node attributes, edge labels, and edge attributes,\\n varing from different dataset.\\n\\n Labels are mapped to :math:`\\\\lbrace 0,\\\\cdots,n-1 \\\\rbrace` where :math:`n` is the\\n number of labels (some datasets have raw labels :math:`\\\\lbrace -1, 1 \\\\rbrace` which\\n will be mapped to :math:`\\\\lbrace 0, 1 \\\\rbrace`). In previous versions, the minimum\\n label was added so that :math:`\\\\lbrace -1, 1 \\\\rbrace` was mapped to\\n :math:`\\\\lbrace 0, 2 \\\\rbrace`.\\n \\\"\\\"\\\"\\n\\n _url = r\\\"https://www.chrsmrrs.com/graphkerneldatasets/{}.zip\\\"\\n\\n def __init__(self, name, raw_dir=None, force_reload=False, verbose=False):\\n url = self._url.format(name)\\n super(TUDataset, self).__init__(name=name, url=url,\\n raw_dir=raw_dir, force_reload=force_reload,\\n verbose=verbose)\\n \\n def process(self):\\n DS_edge_list = self._idx_from_zero(\\n loadtxt(self._file_path(\\\"A\\\"), delimiter=\\\",\\\").astype(int))\\n DS_indicator = self._idx_from_zero(\\n loadtxt(self._file_path(\\\"graph_indicator\\\"), delimiter=\\\",\\\").astype(int))\\n \\n if os.path.exists(self._file_path(\\\"graph_labels\\\")):\\n DS_graph_labels = self._idx_reset(\\n loadtxt(self._file_path(\\\"graph_labels\\\"), delimiter=\\\",\\\").astype(int)) \\n self.num_labels = max(DS_graph_labels) + 1\\n self.graph_labels = F.tensor(DS_graph_labels) \\n elif os.path.exists(self._file_path(\\\"graph_attributes\\\")):\\n DS_graph_labels = loadtxt(self._file_path(\\\"graph_attributes\\\"), delimiter=\\\",\\\").astype(float)\\n self.num_labels = None\\n self.graph_labels = F.tensor(DS_graph_labels) \\n else:\\n raise Exception(\\\"Unknown graph label or graph attributes\\\")\\n\\n g = dgl_graph(([], []))\\n g.add_nodes(int(DS_edge_list.max()) + 1)\\n g.add_edges(DS_edge_list[:, 0], DS_edge_list[:, 1])\\n\\n node_idx_list = []\\n self.max_num_node = 0\\n for idx in range(np.max(DS_indicator) + 1):\\n node_idx = np.where(DS_indicator == idx)\\n node_idx_list.append(node_idx[0])\\n if len(node_idx[0]) > self.max_num_node:\\n self.max_num_node = len(node_idx[0])\\n\\n\\n self.attr_dict = {\\n 'node_labels': ('ndata', 'node_labels'),\\n 'node_attributes': ('ndata', 'node_attr'),\\n 'edge_labels': ('edata', 'edge_labels'),\\n 'edge_attributes': ('edata', 'node_labels'),\\n }\\n\\n for filename, field_name in self.attr_dict.items():\\n try:\\n data = loadtxt(self._file_path(filename),\\n delimiter=',')\\n if 'label' in filename:\\n data = F.tensor(self._idx_from_zero(data))\\n else:\\n data = F.tensor(data)\\n getattr(g, field_name[0])[field_name[1]] = data\\n except IOError:\\n pass\\n\\n self.graph_lists = [g.subgraph(node_idx) for node_idx in node_idx_list]\\n\\n def save(self):\\n graph_path = os.path.join(self.save_path, 'tu_{}.bin'.format(self.name))\\n info_path = os.path.join(self.save_path, 'tu_{}.pkl'.format(self.name))\\n label_dict = {'labels': self.graph_labels}\\n info_dict = {'max_num_node': self.max_num_node,\\n 'num_labels': self.num_labels}\\n save_graphs(str(graph_path), self.graph_lists, label_dict)\\n save_info(str(info_path), info_dict)\\n\\n def load(self):\\n graph_path = os.path.join(self.save_path, 'tu_{}.bin'.format(self.name))\\n info_path = os.path.join(self.save_path, 'tu_{}.pkl'.format(self.name))\\n graphs, label_dict = load_graphs(str(graph_path))\\n info_dict = load_info(str(info_path))\\n\\n self.graph_lists = graphs\\n self.graph_labels = label_dict['labels']\\n self.max_num_node = info_dict['max_num_node']\\n self.num_labels = info_dict['num_labels']\\n\\n def has_cache(self):\\n graph_path = os.path.join(self.save_path, 'tu_{}.bin'.format(self.name))\\n info_path = os.path.join(self.save_path, 'tu_{}.pkl'.format(self.name))\\n if os.path.exists(graph_path) and os.path.exists(info_path):\\n return True\\n return False\\n\\n def __getitem__(self, idx):\\n \\\"\\\"\\\"Get the idx-th sample.\\n\\n Parameters\\n ---------\\n idx : int\\n The sample index.\\n\\n Returns\\n -------\\n (:class:`dgl.DGLGraph`, Tensor)\\n Graph with node feature stored in ``feat`` field and node label in ``node_label`` if available.\\n And its label.\\n \\\"\\\"\\\"\\n g = self.graph_lists[idx]\\n return g, self.graph_labels[idx]\\n\\n def __len__(self):\\n \\\"\\\"\\\"Return the number of graphs in the dataset.\\\"\\\"\\\"\\n return len(self.graph_lists)\\n\\n def _file_path(self, category):\\n return os.path.join(self.raw_path, self.name,\\n \\\"{}_{}.txt\\\".format(self.name, category))\\n\\n @staticmethod\\n def _idx_from_zero(idx_tensor):\\n return idx_tensor - np.min(idx_tensor)\\n\\n @staticmethod\\n def _idx_reset(idx_tensor):\\n \\\"\\\"\\\"Maps n unique labels to {0, ..., n-1} in an ordered fashion.\\\"\\\"\\\"\\n labels = np.unique(idx_tensor)\\n relabel_map = {x: i for i, x in enumerate(labels)}\\n new_idx_tensor = np.vectorize(relabel_map.get)(idx_tensor)\\n return new_idx_tensor\\n\\n def statistics(self):\\n return self.graph_lists[0].ndata['feat'].shape[1], \\\\\\n self.num_labels, \\\\\\n self.max_num_node\\n\",\n \"path\": \"python/dgl/data/tu.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/python/dgl/data/tu.py b/python/dgl/data/tu.py\nindex fcfb472a3229..4c05b27cf139 100644\n--- a/python/dgl/data/tu.py\n+++ b/python/dgl/data/tu.py\n@@ -252,6 +252,13 @@ class TUDataset(DGLBuiltinDataset):\n num_labels : int\n Number of classes\n \n+ Notes\n+ -----\n+ **IMPORTANT:** Some of the datasets have duplicate edges exist in the graphs, e.g.\n+ the edges in ``IMDB-BINARY`` are all duplicated. DGL faithfully keeps the duplicates\n+ as per the original data. Other frameworks such as PyTorch Geometric removes the\n+ duplicates by default. You can remove the duplicate edges with :func:`dgl.to_simple`.\n+\n Examples\n --------\n >>> data = TUDataset('DD')\n"}}},{"rowIdx":6586,"cells":{"in_source_id":{"kind":"string","value":"oppia__oppia-5437"},"issue":{"kind":"string","value":"Set default value of the dropdown to direct the learner in 'Add Response' modal\n## Repro Steps:\r\n* Open Creator Dashboard and click 'create' button to create new exploration.\r\n* Choose any of the interaction.\r\n* See the 'Add Response' modal that appears after selecting the interaction.\r\n\r\n## Observed behaviour:\r\n* See dropdown below 'directs the learner to ...'.\r\n* It's default value isn't set.\r\n\r\n\r\n## Expected behaviour:\r\nDefault value should be set as it was previously. Note that this bug may be introduced recently.\r\n\r\n \n"},"before_files":{"kind":"list like","value":[{"content":"# coding: utf-8\n#\n# Copyright 2014 The Oppia Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS-IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\"\"\"Services for exploration-related statistics.\"\"\"\n\nimport collections\nimport copy\nimport itertools\n\nfrom core.domain import interaction_registry\nfrom core.domain import stats_domain\nfrom core.platform import models\nimport feconf\n\n(stats_models,) = models.Registry.import_models([models.NAMES.statistics])\ntransaction_services = models.Registry.import_transaction_services()\n\n\n# Counts contributions from all versions.\nVERSION_ALL = 'all'\n\n\ndef _migrate_to_latest_issue_schema(exp_issue_dict):\n \"\"\"Holds the responsibility of performing a step-by-step sequential update\n of an exploration issue dict based on its schema version. If the current\n issue schema version changes (stats_models.CURRENT_ISSUE_SCHEMA_VERSION), a\n new conversion function must be added and some code appended to this\n function to account for that new version.\n\n Args:\n exp_issue_dict: dict. Dict representing the exploration issue.\n\n Raises:\n Exception. The issue_schema_version is invalid.\n \"\"\"\n issue_schema_version = exp_issue_dict['schema_version']\n if issue_schema_version is None or issue_schema_version < 1:\n issue_schema_version = 0\n\n if not (0 <= issue_schema_version\n <= stats_models.CURRENT_ISSUE_SCHEMA_VERSION):\n raise Exception(\n 'Sorry, we can only process v1-v%d and unversioned issue schemas at'\n 'present.' %\n stats_models.CURRENT_ISSUE_SCHEMA_VERSION)\n\n while issue_schema_version < stats_models.CURRENT_ISSUE_SCHEMA_VERSION:\n stats_domain.ExplorationIssue.update_exp_issue_from_model(\n exp_issue_dict)\n issue_schema_version += 1\n\n\ndef _migrate_to_latest_action_schema(learner_action_dict):\n \"\"\"Holds the responsibility of performing a step-by-step sequential update\n of an learner action dict based on its schema version. If the current action\n schema version changes (stats_models.CURRENT_ACTION_SCHEMA_VERSION), a new\n conversion function must be added and some code appended to this function to\n account for that new version.\n\n Args:\n learner_action_dict: dict. Dict representing the learner action.\n\n Raises:\n Exception. The action_schema_version is invalid.\n \"\"\"\n action_schema_version = learner_action_dict['schema_version']\n if action_schema_version is None or action_schema_version < 1:\n action_schema_version = 0\n\n if not (0 <= action_schema_version\n <= stats_models.CURRENT_ACTION_SCHEMA_VERSION):\n raise Exception(\n 'Sorry, we can only process v1-v%d and unversioned action schemas '\n 'at present.' %\n stats_models.CURRENT_ACTION_SCHEMA_VERSION)\n\n while action_schema_version < stats_models.CURRENT_ACTION_SCHEMA_VERSION:\n stats_domain.LearnerAction.update_learner_action_from_model(\n learner_action_dict)\n action_schema_version += 1\n\n\ndef get_exploration_stats(exp_id, exp_version):\n \"\"\"Retrieves the ExplorationStats domain instance.\n\n Args:\n exp_id: str. ID of the exploration.\n exp_version: int. Version of the exploration.\n\n Returns:\n ExplorationStats. The exploration stats domain object.\n \"\"\"\n exploration_stats = get_exploration_stats_by_id(exp_id, exp_version)\n\n if exploration_stats is None:\n exploration_stats = stats_domain.ExplorationStats.create_default(\n exp_id, exp_version, {})\n\n return exploration_stats\n\n\ndef update_stats(exp_id, exp_version, aggregated_stats):\n \"\"\"Updates ExplorationStatsModel according to the dict containing aggregated\n stats.\n\n Args:\n exp_id: str. ID of the exploration.\n exp_version: int. Version of the exploration.\n aggregated_stats: dict. Dict representing an ExplorationStatsModel\n instance with stats aggregated in the frontend.\n \"\"\"\n exploration_stats = get_exploration_stats_by_id(\n exp_id, exp_version)\n\n exploration_stats.num_starts_v2 += aggregated_stats['num_starts']\n exploration_stats.num_completions_v2 += aggregated_stats['num_completions']\n exploration_stats.num_actual_starts_v2 += aggregated_stats[\n 'num_actual_starts']\n\n for state_name in aggregated_stats['state_stats_mapping']:\n exploration_stats.state_stats_mapping[\n state_name].total_answers_count_v2 += aggregated_stats[\n 'state_stats_mapping'][state_name]['total_answers_count']\n exploration_stats.state_stats_mapping[\n state_name].useful_feedback_count_v2 += aggregated_stats[\n 'state_stats_mapping'][state_name]['useful_feedback_count']\n exploration_stats.state_stats_mapping[\n state_name].total_hit_count_v2 += aggregated_stats[\n 'state_stats_mapping'][state_name]['total_hit_count']\n exploration_stats.state_stats_mapping[\n state_name].first_hit_count_v2 += aggregated_stats[\n 'state_stats_mapping'][state_name]['first_hit_count']\n exploration_stats.state_stats_mapping[\n state_name].num_times_solution_viewed_v2 += aggregated_stats[\n 'state_stats_mapping'][state_name]['num_times_solution_viewed']\n exploration_stats.state_stats_mapping[\n state_name].num_completions_v2 += aggregated_stats[\n 'state_stats_mapping'][state_name]['num_completions']\n\n save_stats_model_transactional(exploration_stats)\n\n\ndef handle_stats_creation_for_new_exploration(exp_id, exp_version, state_names):\n \"\"\"Creates ExplorationStatsModel for the freshly created exploration and\n sets all initial values to zero.\n\n Args:\n exp_id: str. ID of the exploration.\n exp_version: int. Version of the exploration.\n state_names: list(str). State names of the exploration.\n \"\"\"\n state_stats_mapping = {\n state_name: stats_domain.StateStats.create_default()\n for state_name in state_names\n }\n\n exploration_stats = stats_domain.ExplorationStats.create_default(\n exp_id, exp_version, state_stats_mapping)\n create_stats_model(exploration_stats)\n\n\ndef handle_stats_creation_for_new_exp_version(\n exp_id, exp_version, state_names, exp_versions_diff, revert_to_version):\n \"\"\"Retrieves the ExplorationStatsModel for the old exp_version and makes\n any required changes to the structure of the model. Then, a new\n ExplorationStatsModel is created for the new exp_version.\n\n Args:\n exp_id: str. ID of the exploration.\n exp_version: int. Version of the exploration.\n state_names: list(str). State names of the exploration.\n exp_versions_diff: ExplorationVersionsDiff|None. The domain object for\n the exploration versions difference, None if it is a revert.\n revert_to_version: int|None. If the change is a revert, the version.\n Otherwise, None.\n \"\"\"\n old_exp_version = exp_version - 1\n new_exp_version = exp_version\n exploration_stats = get_exploration_stats_by_id(\n exp_id, old_exp_version)\n if exploration_stats is None:\n handle_stats_creation_for_new_exploration(\n exp_id, new_exp_version, state_names)\n return\n\n # Handling reverts.\n if revert_to_version:\n old_exp_stats = get_exploration_stats_by_id(exp_id, revert_to_version)\n # If the old exploration issues model doesn't exist, the current model\n # is carried over (this is a fallback case for some tests, and can\n # never happen in production.)\n if old_exp_stats:\n exploration_stats.num_starts_v2 = old_exp_stats.num_starts_v2\n exploration_stats.num_actual_starts_v2 = (\n old_exp_stats.num_actual_starts_v2)\n exploration_stats.num_completions_v2 = (\n old_exp_stats.num_completions_v2)\n exploration_stats.state_stats_mapping = (\n old_exp_stats.state_stats_mapping)\n exploration_stats.exp_version = new_exp_version\n create_stats_model(exploration_stats)\n return\n\n # Handling state deletions.\n for state_name in exp_versions_diff.deleted_state_names:\n exploration_stats.state_stats_mapping.pop(state_name)\n\n # Handling state additions.\n for state_name in exp_versions_diff.added_state_names:\n exploration_stats.state_stats_mapping[state_name] = (\n stats_domain.StateStats.create_default())\n\n # Handling state renames.\n for new_state_name in exp_versions_diff.new_to_old_state_names:\n exploration_stats.state_stats_mapping[new_state_name] = (\n exploration_stats.state_stats_mapping.pop(\n exp_versions_diff.new_to_old_state_names[new_state_name]))\n\n exploration_stats.exp_version = new_exp_version\n\n # Create new statistics model.\n create_stats_model(exploration_stats)\n\n\ndef create_exp_issues_for_new_exploration(exp_id, exp_version):\n \"\"\"Creates the ExplorationIssuesModel instance for the exploration.\n\n Args:\n exp_id: str. ID of the exploration.\n exp_version: int. Version of the exploration.\n \"\"\"\n stats_models.ExplorationIssuesModel.create(exp_id, exp_version, [])\n\n\ndef _handle_exp_issues_after_state_deletion(\n state_name, exp_issue, deleted_state_names):\n \"\"\"Checks if the exploration issue's concerned state is a deleted state and\n invalidates the exploration issue accoridngly.\n\n Args:\n state_name: str. The issue's concerened state name.\n exp_issue: ExplorationIssue. The exploration issue domain object.\n deleted_state_names: list(str). The list of deleted state names in this\n commit.\n\n Returns:\n ExplorationIssue. The exploration issue domain object.\n \"\"\"\n if state_name in deleted_state_names:\n exp_issue.is_valid = False\n return exp_issue\n\n\ndef _handle_exp_issues_after_state_rename(\n state_name, exp_issue, old_to_new_state_names,\n playthrough_ids_by_state_name):\n \"\"\"Checks if the exploration issue's concerned state is a renamed state and\n modifies the exploration issue accoridngly.\n\n Args:\n state_name: str. The issue's concerened state name.\n exp_issue: ExplorationIssue. The exploration issue domain object.\n old_to_new_state_names: dict. The dict mapping state names to their\n renamed versions. This mapping contains state names only if it is\n actually renamed.\n playthrough_ids_by_state_name: dict. The dict mapping old state names to\n their new ones\n\n Returns:\n ExplorationIssue. The exploration issue domain object.\n \"\"\"\n if state_name not in old_to_new_state_names:\n return exp_issue, playthrough_ids_by_state_name\n\n old_state_name = state_name\n new_state_name = old_to_new_state_names[old_state_name]\n if stats_models.ISSUE_TYPE_KEYNAME_MAPPING[\n exp_issue.issue_type] == 'state_names':\n state_names = exp_issue.issue_customization_args['state_names'][\n 'value']\n exp_issue.issue_customization_args['state_names']['value'] = [\n new_state_name\n if state_name == old_state_name else state_name\n for state_name in state_names]\n else:\n exp_issue.issue_customization_args['state_name']['value'] = (\n new_state_name)\n\n playthrough_ids_by_state_name[old_state_name].extend(\n exp_issue.playthrough_ids)\n\n return exp_issue, playthrough_ids_by_state_name\n\n\ndef update_exp_issues_for_new_exp_version(\n exploration, exp_versions_diff, revert_to_version):\n \"\"\"Retrieves the ExplorationIssuesModel for the old exp_version and makes\n any required changes to the structure of the model.\n\n Args:\n exploration: Exploration. Domain object for the exploration.\n exp_versions_diff: ExplorationVersionsDiff|None. The domain object for\n the exploration versions difference, None if it is a revert.\n revert_to_version: int|None. If the change is a revert, the version.\n Otherwise, None.\n \"\"\"\n exp_issues = get_exp_issues(exploration.id, exploration.version - 1)\n if exp_issues is None:\n create_exp_issues_for_new_exploration(\n exploration.id, exploration.version - 1)\n return\n\n # Handling reverts.\n if revert_to_version:\n old_exp_issues = get_exp_issues(exploration.id, revert_to_version)\n # If the old exploration issues model doesn't exist, the current model\n # is carried over (this is a fallback case for some tests, and can\n # never happen in production.)\n if old_exp_issues:\n exp_issues.unresolved_issues = old_exp_issues.unresolved_issues\n exp_issues.exp_version = exploration.version + 1\n create_exp_issues_model(exp_issues)\n return\n\n playthrough_ids_by_state_name = collections.defaultdict(list)\n\n for i_idx, exp_issue in enumerate(exp_issues.unresolved_issues):\n keyname = stats_models.ISSUE_TYPE_KEYNAME_MAPPING[exp_issue.issue_type]\n if keyname == 'state_names':\n state_names = exp_issue.issue_customization_args[keyname]['value']\n for state_name in state_names:\n # Handle exp issues changes for deleted states.\n exp_issues.unresolved_issues[i_idx] = (\n _handle_exp_issues_after_state_deletion(\n state_name, exp_issue,\n exp_versions_diff.deleted_state_names))\n\n # Handle exp issues changes for renamed states.\n exp_issues.unresolved_issues[\n i_idx], playthrough_ids_by_state_name = (\n _handle_exp_issues_after_state_rename(\n state_name, exp_issue,\n exp_versions_diff.old_to_new_state_names,\n playthrough_ids_by_state_name))\n else:\n state_name = exp_issue.issue_customization_args[keyname]['value']\n\n # Handle exp issues changes for deleted states.\n exp_issues.unresolved_issues[i_idx] = (\n _handle_exp_issues_after_state_deletion(\n state_name, exp_issue,\n exp_versions_diff.deleted_state_names))\n\n # Handle exp issues changes for renamed states.\n exp_issues.unresolved_issues[\n i_idx], playthrough_ids_by_state_name = (\n _handle_exp_issues_after_state_rename(\n state_name, exp_issue,\n exp_versions_diff.old_to_new_state_names,\n playthrough_ids_by_state_name))\n\n # Handling changes to playthrough instances.\n all_playthrough_ids = []\n all_playthroughs = []\n for old_state_name in playthrough_ids_by_state_name:\n new_state_name = exp_versions_diff.old_to_new_state_names[\n old_state_name]\n playthrough_ids = playthrough_ids_by_state_name[old_state_name]\n\n playthroughs = get_playthroughs_multi(playthrough_ids)\n for p_idx, playthrough in enumerate(playthroughs):\n if stats_models.ISSUE_TYPE_KEYNAME_MAPPING[\n playthrough.issue_type] == 'state_names':\n state_names = playthrough.issue_customization_args[\n 'state_names']['value']\n playthrough.issue_customization_args['state_names']['value'] = [\n new_state_name\n if state_name == old_state_name else state_name\n for state_name in state_names]\n else:\n playthrough.issue_customization_args['state_name']['value'] = (\n new_state_name)\n for a_idx, action in enumerate(playthrough.actions):\n if action.action_customization_args['state_name']['value'] == (\n old_state_name):\n playthroughs[p_idx].actions[\n a_idx].action_customization_args['state_name'][\n 'value'] = new_state_name\n\n all_playthrough_ids.extend(playthrough_ids)\n all_playthroughs.extend(playthroughs)\n\n update_playthroughs_multi(all_playthrough_ids, all_playthroughs)\n\n exp_issues.exp_version += 1\n\n create_exp_issues_model(exp_issues)\n\n\ndef get_exp_issues(exp_id, exp_version):\n \"\"\"Retrieves the ExplorationIssues domain object.\n\n Args:\n exp_id: str. ID of the exploration.\n exp_version: int. Version of the exploration.\n\n Returns:\n ExplorationIssues|None: The domain object for exploration issues or\n None if the exp_id is invalid.\n \"\"\"\n exp_issues = None\n exp_issues_model = stats_models.ExplorationIssuesModel.get_model(\n exp_id, exp_version)\n if exp_issues_model is not None:\n exp_issues = get_exp_issues_from_model(exp_issues_model)\n return exp_issues\n\n\ndef get_playthrough_by_id(playthrough_id):\n \"\"\"Retrieves the Playthrough domain object.\n\n Args:\n playthrough_id: str. ID of the playthrough.\n\n Returns:\n Playthrough|None: The domain object for the playthrough or None if the\n playthrough_id is invalid.\n \"\"\"\n playthrough = None\n playthrough_model = stats_models.PlaythroughModel.get(\n playthrough_id, strict=False)\n if playthrough_model is not None:\n playthrough = get_playthrough_from_model(playthrough_model)\n return playthrough\n\n\ndef get_playthroughs_multi(playthrough_ids):\n \"\"\"Retrieves multiple Playthrough domain objects.\n\n Args:\n playthrough_ids: list(str). List of playthrough IDs.\n\n Returns:\n list(Playthrough). List of playthrough domain objects.\n \"\"\"\n playthrough_instances = stats_models.PlaythroughModel.get_multi(\n playthrough_ids)\n playthroughs = [\n get_playthrough_from_model(playthrough_instance)\n for playthrough_instance in playthrough_instances]\n return playthroughs\n\n\ndef update_playthroughs_multi(playthrough_ids, playthroughs):\n \"\"\"Updates the playthrough instances.\n\n Args:\n playthrough_ids: list(str). List of playthrough IDs.\n playthroughs: list(Playthrough). List of playthrough domain objects.\n \"\"\"\n playthrough_instances = stats_models.PlaythroughModel.get_multi(\n playthrough_ids)\n updated_instances = []\n for idx, playthrough_instance in enumerate(playthrough_instances):\n playthrough_dict = playthroughs[idx].to_dict()\n playthrough_instance.issue_type = playthrough_dict['issue_type']\n playthrough_instance.issue_customization_args = (\n playthrough_dict['issue_customization_args'])\n playthrough_instance.actions = playthrough_dict['actions']\n updated_instances.append(playthrough_instance)\n stats_models.PlaythroughModel.put_multi(updated_instances)\n\n\ndef get_exploration_stats_by_id(exp_id, exp_version):\n \"\"\"Retrieves the ExplorationStats domain object.\n\n Args:\n exp_id: str. ID of the exploration.\n exp_version: int. Version of the exploration.\n\n Returns:\n ExplorationStats. The domain object for exploration statistics.\n\n Raises:\n Exception: Entity for class ExplorationStatsModel with id not found.\n \"\"\"\n exploration_stats = None\n exploration_stats_model = stats_models.ExplorationStatsModel.get_model(\n exp_id, exp_version)\n if exploration_stats_model is not None:\n exploration_stats = get_exploration_stats_from_model(\n exploration_stats_model)\n return exploration_stats\n\n\ndef get_multiple_exploration_stats_by_version(exp_id, version_numbers):\n \"\"\"Returns a list of ExplorationStats domain objects corresponding to the\n specified versions.\n\n Args:\n exp_id: str. ID of the exploration.\n version_numbers: list(int). List of version numbers.\n\n Returns:\n list(ExplorationStats|None). List of ExplorationStats domain class\n instances.\n \"\"\"\n exploration_stats = []\n exploration_stats_models = (\n stats_models.ExplorationStatsModel.get_multi_versions(\n exp_id, version_numbers))\n for exploration_stats_model in exploration_stats_models:\n if exploration_stats_model is None:\n exploration_stats.append(None)\n else:\n exploration_stats.append(get_exploration_stats_from_model(\n exploration_stats_model))\n return exploration_stats\n\n\ndef get_exp_issues_from_model(exp_issues_model):\n \"\"\"Gets an ExplorationIssues domain object from an ExplorationIssuesModel\n instance.\n\n Args:\n exp_issues_model: ExplorationIssuesModel. Exploration issues model in\n datastore.\n\n Returns:\n ExplorationIssues. The domain object for exploration issues.\n \"\"\"\n unresolved_issues = []\n for unresolved_issue_dict in exp_issues_model.unresolved_issues:\n _migrate_to_latest_issue_schema(copy.deepcopy(unresolved_issue_dict))\n unresolved_issues.append(\n stats_domain.ExplorationIssue.from_dict(unresolved_issue_dict))\n return stats_domain.ExplorationIssues(\n exp_issues_model.exp_id, exp_issues_model.exp_version,\n unresolved_issues)\n\n\ndef get_exploration_stats_from_model(exploration_stats_model):\n \"\"\"Gets an ExplorationStats domain object from an ExplorationStatsModel\n instance.\n\n Args:\n exploration_stats_model: ExplorationStatsModel. Exploration statistics\n model in datastore.\n\n Returns:\n ExplorationStats. The domain object for exploration statistics.\n \"\"\"\n new_state_stats_mapping = {\n state_name: stats_domain.StateStats.from_dict(\n exploration_stats_model.state_stats_mapping[state_name])\n for state_name in exploration_stats_model.state_stats_mapping\n }\n return stats_domain.ExplorationStats(\n exploration_stats_model.exp_id,\n exploration_stats_model.exp_version,\n exploration_stats_model.num_starts_v1,\n exploration_stats_model.num_starts_v2,\n exploration_stats_model.num_actual_starts_v1,\n exploration_stats_model.num_actual_starts_v2,\n exploration_stats_model.num_completions_v1,\n exploration_stats_model.num_completions_v2,\n new_state_stats_mapping)\n\n\ndef get_playthrough_from_model(playthrough_model):\n \"\"\"Gets a PlaythroughModel domain object from a PlaythroughModel instance.\n\n Args:\n playthrough_model: PlaythroughModel. Playthrough model in datastore.\n\n Returns:\n Playthrough. The domain object for a playthrough.\n \"\"\"\n actions = []\n for action_dict in playthrough_model.actions:\n _migrate_to_latest_action_schema(action_dict)\n actions.append(stats_domain.LearnerAction.from_dict(action_dict))\n return stats_domain.Playthrough(\n playthrough_model.exp_id, playthrough_model.exp_version,\n playthrough_model.issue_type,\n playthrough_model.issue_customization_args, actions)\n\n\ndef create_stats_model(exploration_stats):\n \"\"\"Creates an ExplorationStatsModel in datastore given an ExplorationStats\n domain object.\n\n Args:\n exploration_stats: ExplorationStats. The domain object for exploration\n statistics.\n\n Returns:\n str. ID of the datastore instance for ExplorationStatsModel.\n \"\"\"\n new_state_stats_mapping = {\n state_name: exploration_stats.state_stats_mapping[state_name].to_dict()\n for state_name in exploration_stats.state_stats_mapping\n }\n instance_id = stats_models.ExplorationStatsModel.create(\n exploration_stats.exp_id,\n exploration_stats.exp_version,\n exploration_stats.num_starts_v1,\n exploration_stats.num_starts_v2,\n exploration_stats.num_actual_starts_v1,\n exploration_stats.num_actual_starts_v2,\n exploration_stats.num_completions_v1,\n exploration_stats.num_completions_v2,\n new_state_stats_mapping\n )\n return instance_id\n\n\ndef _save_stats_model(exploration_stats):\n \"\"\"Updates the ExplorationStatsModel datastore instance with the passed\n ExplorationStats domain object.\n\n Args:\n exploration_stats. ExplorationStats. The exploration statistics domain\n object.\n \"\"\"\n new_state_stats_mapping = {\n state_name: exploration_stats.state_stats_mapping[state_name].to_dict()\n for state_name in exploration_stats.state_stats_mapping\n }\n\n exploration_stats_model = stats_models.ExplorationStatsModel.get_model(\n exploration_stats.exp_id, exploration_stats.exp_version)\n\n exploration_stats_model.num_starts_v1 = exploration_stats.num_starts_v1\n exploration_stats_model.num_starts_v2 = exploration_stats.num_starts_v2\n exploration_stats_model.num_actual_starts_v1 = (\n exploration_stats.num_actual_starts_v1)\n exploration_stats_model.num_actual_starts_v2 = (\n exploration_stats.num_actual_starts_v2)\n exploration_stats_model.num_completions_v1 = (\n exploration_stats.num_completions_v1)\n exploration_stats_model.num_completions_v2 = (\n exploration_stats.num_completions_v2)\n exploration_stats_model.state_stats_mapping = new_state_stats_mapping\n\n exploration_stats_model.put()\n\n\ndef save_stats_model_transactional(exploration_stats):\n \"\"\"Updates the ExplorationStatsModel datastore instance with the passed\n ExplorationStats domain object in a transaction.\n\n Args:\n exploration_stats. ExplorationStats. The exploration statistics domain\n object.\n \"\"\"\n transaction_services.run_in_transaction(\n _save_stats_model, exploration_stats)\n\n\ndef create_exp_issues_model(exp_issues):\n \"\"\"Creates a new ExplorationIssuesModel in the datastore.\n\n Args:\n exp_issues: ExplorationIssues. The exploration issues domain object.\n \"\"\"\n unresolved_issues_dicts = [\n unresolved_issue.to_dict()\n for unresolved_issue in exp_issues.unresolved_issues]\n stats_models.ExplorationIssuesModel.create(\n exp_issues.exp_id, exp_issues.exp_version, unresolved_issues_dicts)\n\n\ndef _save_exp_issues_model(exp_issues):\n \"\"\"Updates the ExplorationIssuesModel datastore instance with the passed\n ExplorationIssues domain object.\n\n Args:\n exp_issues: ExplorationIssues. The exploration issues domain\n object.\n \"\"\"\n unresolved_issues_dicts = [\n unresolved_issue.to_dict()\n for unresolved_issue in exp_issues.unresolved_issues]\n exp_issues_model = stats_models.ExplorationIssuesModel.get_model(\n exp_issues.exp_id, exp_issues.exp_version)\n exp_issues_model.exp_version = exp_issues.exp_version\n exp_issues_model.unresolved_issues = unresolved_issues_dicts\n\n exp_issues_model.put()\n\n\ndef save_exp_issues_model_transactional(exp_issues):\n \"\"\"Updates the ExplorationIssuesModel datastore instance with the passed\n ExplorationIssues domain object in a transaction.\n\n Args:\n exp_issues: ExplorationIssues. The exploration issues domain\n object.\n \"\"\"\n transaction_services.run_in_transaction(\n _save_exp_issues_model, exp_issues)\n\n\ndef get_exploration_stats_multi(exp_version_references):\n \"\"\"Retrieves the exploration stats for the given explorations.\n\n Args:\n exp_version_references: list(ExpVersionReference). List of exploration\n version reference domain objects.\n\n Returns:\n list(ExplorationStats). The list of exploration stats domain objects.\n \"\"\"\n exploration_stats_models = (\n stats_models.ExplorationStatsModel.get_multi_stats_models(\n exp_version_references))\n\n exploration_stats_list = []\n for index, exploration_stats_model in enumerate(exploration_stats_models):\n if exploration_stats_model is None:\n exploration_stats_list.append(\n stats_domain.ExplorationStats.create_default(\n exp_version_references[index].exp_id,\n exp_version_references[index].version,\n {}))\n else:\n exploration_stats_list.append(\n get_exploration_stats_from_model(exploration_stats_model))\n\n return exploration_stats_list\n\n\ndef delete_playthroughs_multi(playthrough_ids):\n \"\"\"Deletes multiple playthrough instances.\n\n Args:\n playthrough_ids: list(str). List of playthrough IDs to be deleted.\n \"\"\"\n stats_models.PlaythroughModel.delete_playthroughs_multi(playthrough_ids)\n\n\ndef get_visualizations_info(exp_id, state_name, interaction_id):\n \"\"\"Returns a list of visualization info. Each item in the list is a dict\n with keys 'data' and 'options'.\n\n Args:\n exp_id: str. The ID of the exploration.\n state_name: str. Name of the state.\n interaction_id: str. The interaction type.\n\n Returns:\n list(dict). Each item in the list is a dict with keys representing\n - 'id': str. The visualization ID.\n - 'data': list(dict). A list of answer/frequency dicts.\n - 'options': dict. The visualization options.\n\n An example of the returned value may be:\n [{'options': {'y_axis_label': 'Count', 'x_axis_label': 'Answer'},\n 'id': 'BarChart',\n 'data': [{u'frequency': 1, u'answer': 0}]}]\n \"\"\"\n if interaction_id is None:\n return []\n\n visualizations = interaction_registry.Registry.get_interaction_by_id(\n interaction_id).answer_visualizations\n\n calculation_ids = set([\n visualization.calculation_id for visualization in visualizations])\n\n calculation_ids_to_outputs = {}\n for calculation_id in calculation_ids:\n # Don't show top unresolved answers calculation ouutput in stats of\n # exploration.\n if calculation_id == 'TopNUnresolvedAnswersByFrequency':\n continue\n\n # This is None if the calculation job has not yet been run for this\n # state.\n calc_output_domain_object = _get_calc_output(\n exp_id, state_name, calculation_id)\n\n # If the calculation job has not yet been run for this state, we simply\n # exclude the corresponding visualization results.\n if calc_output_domain_object is None:\n continue\n\n # If the output was associated with a different interaction ID, skip the\n # results. This filtering step is needed since the same calculation_id\n # can be shared across multiple interaction types.\n if calc_output_domain_object.interaction_id != interaction_id:\n continue\n\n calculation_ids_to_outputs[calculation_id] = (\n calc_output_domain_object.calculation_output.to_raw_type())\n return [{\n 'id': visualization.id,\n 'data': calculation_ids_to_outputs[visualization.calculation_id],\n 'options': visualization.options,\n 'addressed_info_is_supported': (\n visualization.addressed_info_is_supported),\n } for visualization in visualizations\n if visualization.calculation_id in calculation_ids_to_outputs]\n\n\ndef record_answer(\n exploration_id, exploration_version, state_name, interaction_id,\n submitted_answer):\n \"\"\"Record an answer by storing it to the corresponding StateAnswers entity.\n\n Args:\n exploration_id: str. The exploration ID.\n exploration_version: int. The version of the exploration.\n state_name: str. The name of the state.\n interaction_id: str. The ID of the interaction.\n submitted_answer: SubmittedAnswer. The submitted answer.\n \"\"\"\n record_answers(\n exploration_id, exploration_version, state_name, interaction_id,\n [submitted_answer])\n\n\ndef record_answers(\n exploration_id, exploration_version, state_name, interaction_id,\n submitted_answer_list):\n \"\"\"Optimally record a group of answers using an already loaded exploration..\n The submitted_answer_list is a list of SubmittedAnswer domain objects.\n\n Args:\n exploration_id: str. The exploration ID.\n exploration_version: int. The version of the exploration.\n state_name: str. The name of the state.\n interaction_id: str. The ID of the interaction.\n submitted_answer_list: list(SubmittedAnswer). The list of answers to be\n recorded.\n \"\"\"\n state_answers = stats_domain.StateAnswers(\n exploration_id, exploration_version, state_name, interaction_id,\n submitted_answer_list)\n for submitted_answer in submitted_answer_list:\n submitted_answer.validate()\n\n stats_models.StateAnswersModel.insert_submitted_answers(\n state_answers.exploration_id, state_answers.exploration_version,\n state_answers.state_name, state_answers.interaction_id,\n state_answers.get_submitted_answer_dict_list())\n\n\ndef get_state_answers(exploration_id, exploration_version, state_name):\n \"\"\"Returns a StateAnswers object containing all answers associated with the\n specified exploration state, or None if no such answers have yet been\n submitted.\n\n Args:\n exploration_id: str. The exploration ID.\n exploration_version: int. The version of the exploration to fetch\n answers for.\n state_name: str. The name of the state to fetch answers for.\n\n Returns:\n StateAnswers or None. A StateAnswers object containing all answers\n associated with the state, or None if no such answers exist.\n \"\"\"\n state_answers_models = stats_models.StateAnswersModel.get_all_models(\n exploration_id, exploration_version, state_name)\n if state_answers_models:\n main_state_answers_model = state_answers_models[0]\n submitted_answer_dict_list = itertools.chain.from_iterable([\n state_answers_model.submitted_answer_list\n for state_answers_model in state_answers_models])\n return stats_domain.StateAnswers(\n exploration_id, exploration_version, state_name,\n main_state_answers_model.interaction_id,\n [stats_domain.SubmittedAnswer.from_dict(submitted_answer_dict)\n for submitted_answer_dict in submitted_answer_dict_list],\n schema_version=main_state_answers_model.schema_version)\n else:\n return None\n\n\ndef get_sample_answers(exploration_id, exploration_version, state_name):\n \"\"\"Fetches a list of sample answers that were submitted to the specified\n exploration state (at the given version of the exploration).\n\n Args:\n exploration_id: str. The exploration ID.\n exploration_version: int. The version of the exploration to fetch\n answers for.\n state_name: str. The name of the state to fetch answers for.\n\n Returns:\n list(*). A list of some sample raw answers. At most 100 answers are\n returned.\n \"\"\"\n answers_model = stats_models.StateAnswersModel.get_master_model(\n exploration_id, exploration_version, state_name)\n if answers_model is None:\n return []\n\n # Return at most 100 answers, and only answers from the initial shard (If\n # we needed to use subsequent shards then the answers are probably too big\n # anyway).\n sample_answers = answers_model.submitted_answer_list[:100]\n return [\n stats_domain.SubmittedAnswer.from_dict(submitted_answer_dict).answer\n for submitted_answer_dict in sample_answers]\n\n\ndef get_top_state_answer_stats(exploration_id, state_name):\n \"\"\"Fetches the top (at most) 10 answers from the given state_name in the\n corresponding exploration. Only answers that occur with frequency >=\n STATE_ANSWER_STATS_MIN_FREQUENCY are returned.\n\n Args:\n exploration_id: str. The exploration ID.\n state_name: str. The name of the state to fetch answers for.\n\n Returns:\n list(*). A list of the top 10 answers, sorted by decreasing frequency.\n \"\"\"\n calc_output = (\n _get_calc_output(exploration_id, state_name, 'Top10AnswerFrequencies'))\n raw_calc_output = (\n [] if calc_output is None else\n calc_output.calculation_output.to_raw_type())\n return [\n {'answer': output['answer'], 'frequency': output['frequency']}\n for output in raw_calc_output\n if output['frequency'] >= feconf.STATE_ANSWER_STATS_MIN_FREQUENCY\n ]\n\n\ndef get_top_state_unresolved_answers(exploration_id, state_name):\n \"\"\"Fetches the top unresolved answers for the given state_name in the\n corresponding exploration. Only answers that occur with frequency >=\n STATE_ANSWER_STATS_MIN_FREQUENCY are returned.\n\n Args:\n exploration_id: str. The exploration ID.\n state_name: str. The name of the state to fetch answers for.\n\n Returns:\n list(*). A list of the top 10 answers, sorted by decreasing frequency.\n \"\"\"\n calc_output_model = _get_calc_output(\n exploration_id, state_name, 'TopNUnresolvedAnswersByFrequency')\n\n if not calc_output_model:\n return []\n\n calculation_output = calc_output_model.calculation_output.to_raw_type()\n return [\n {'answer': output['answer'], 'frequency': output['frequency']}\n for output in calculation_output\n if output['frequency'] >= feconf.STATE_ANSWER_STATS_MIN_FREQUENCY\n ]\n\n\ndef get_top_state_answer_stats_multi(exploration_id, state_names):\n \"\"\"Fetches the top (at most) 10 answers from each given state_name in the\n corresponding exploration. Only answers that occur with frequency >=\n STATE_ANSWER_STATS_MIN_FREQUENCY are returned.\n\n Args:\n exploration_id: str. The exploration ID.\n state_names: list(str). The name of the state to fetch answers for.\n\n Returns:\n dict(str: list(*)). Dict mapping each state name to the list of its top\n (at most) 10 answers, sorted by decreasing frequency.\n \"\"\"\n return {\n state_name: get_top_state_answer_stats(exploration_id, state_name)\n for state_name in state_names\n }\n\n\ndef _get_calc_output(exploration_id, state_name, calculation_id):\n \"\"\"Get state answers calculation output domain object obtained from\n StateAnswersCalcOutputModel instance stored in the data store. The\n calculation ID comes from the name of the calculation class used to compute\n aggregate data from submitted user answers. This returns aggregated output\n for all versions of the specified state and exploration.\n\n Args:\n exploration_id: str. ID of the exploration.\n state_name: str. Name of the state.\n calculation_id: str. Name of the calculation class.\n\n Returns:\n StateAnswersCalcOutput|None. The state answers calculation output\n domain object or None.\n \"\"\"\n calc_output_model = stats_models.StateAnswersCalcOutputModel.get_model(\n exploration_id, VERSION_ALL, state_name, calculation_id)\n if calc_output_model:\n calculation_output = None\n if (calc_output_model.calculation_output_type ==\n stats_domain.CALC_OUTPUT_TYPE_ANSWER_FREQUENCY_LIST):\n calculation_output = (\n stats_domain.AnswerFrequencyList.from_raw_type(\n calc_output_model.calculation_output))\n elif (calc_output_model.calculation_output_type ==\n stats_domain.CALC_OUTPUT_TYPE_CATEGORIZED_ANSWER_FREQUENCY_LISTS):\n calculation_output = (\n stats_domain.CategorizedAnswerFrequencyLists.from_raw_type(\n calc_output_model.calculation_output))\n return stats_domain.StateAnswersCalcOutput(\n exploration_id, VERSION_ALL, state_name,\n calc_output_model.interaction_id, calculation_id,\n calculation_output)\n else:\n return None\n","path":"core/domain/stats_services.py"}],"string":"[\n {\n \"content\": \"# coding: utf-8\\n#\\n# Copyright 2014 The Oppia Authors. All Rights Reserved.\\n#\\n# Licensed under the Apache License, Version 2.0 (the \\\"License\\\");\\n# you may not use this file except in compliance with the License.\\n# You may obtain a copy of the License at\\n#\\n# http://www.apache.org/licenses/LICENSE-2.0\\n#\\n# Unless required by applicable law or agreed to in writing, software\\n# distributed under the License is distributed on an \\\"AS-IS\\\" BASIS,\\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\\n# See the License for the specific language governing permissions and\\n# limitations under the License.\\n\\n\\\"\\\"\\\"Services for exploration-related statistics.\\\"\\\"\\\"\\n\\nimport collections\\nimport copy\\nimport itertools\\n\\nfrom core.domain import interaction_registry\\nfrom core.domain import stats_domain\\nfrom core.platform import models\\nimport feconf\\n\\n(stats_models,) = models.Registry.import_models([models.NAMES.statistics])\\ntransaction_services = models.Registry.import_transaction_services()\\n\\n\\n# Counts contributions from all versions.\\nVERSION_ALL = 'all'\\n\\n\\ndef _migrate_to_latest_issue_schema(exp_issue_dict):\\n \\\"\\\"\\\"Holds the responsibility of performing a step-by-step sequential update\\n of an exploration issue dict based on its schema version. If the current\\n issue schema version changes (stats_models.CURRENT_ISSUE_SCHEMA_VERSION), a\\n new conversion function must be added and some code appended to this\\n function to account for that new version.\\n\\n Args:\\n exp_issue_dict: dict. Dict representing the exploration issue.\\n\\n Raises:\\n Exception. The issue_schema_version is invalid.\\n \\\"\\\"\\\"\\n issue_schema_version = exp_issue_dict['schema_version']\\n if issue_schema_version is None or issue_schema_version < 1:\\n issue_schema_version = 0\\n\\n if not (0 <= issue_schema_version\\n <= stats_models.CURRENT_ISSUE_SCHEMA_VERSION):\\n raise Exception(\\n 'Sorry, we can only process v1-v%d and unversioned issue schemas at'\\n 'present.' %\\n stats_models.CURRENT_ISSUE_SCHEMA_VERSION)\\n\\n while issue_schema_version < stats_models.CURRENT_ISSUE_SCHEMA_VERSION:\\n stats_domain.ExplorationIssue.update_exp_issue_from_model(\\n exp_issue_dict)\\n issue_schema_version += 1\\n\\n\\ndef _migrate_to_latest_action_schema(learner_action_dict):\\n \\\"\\\"\\\"Holds the responsibility of performing a step-by-step sequential update\\n of an learner action dict based on its schema version. If the current action\\n schema version changes (stats_models.CURRENT_ACTION_SCHEMA_VERSION), a new\\n conversion function must be added and some code appended to this function to\\n account for that new version.\\n\\n Args:\\n learner_action_dict: dict. Dict representing the learner action.\\n\\n Raises:\\n Exception. The action_schema_version is invalid.\\n \\\"\\\"\\\"\\n action_schema_version = learner_action_dict['schema_version']\\n if action_schema_version is None or action_schema_version < 1:\\n action_schema_version = 0\\n\\n if not (0 <= action_schema_version\\n <= stats_models.CURRENT_ACTION_SCHEMA_VERSION):\\n raise Exception(\\n 'Sorry, we can only process v1-v%d and unversioned action schemas '\\n 'at present.' %\\n stats_models.CURRENT_ACTION_SCHEMA_VERSION)\\n\\n while action_schema_version < stats_models.CURRENT_ACTION_SCHEMA_VERSION:\\n stats_domain.LearnerAction.update_learner_action_from_model(\\n learner_action_dict)\\n action_schema_version += 1\\n\\n\\ndef get_exploration_stats(exp_id, exp_version):\\n \\\"\\\"\\\"Retrieves the ExplorationStats domain instance.\\n\\n Args:\\n exp_id: str. ID of the exploration.\\n exp_version: int. Version of the exploration.\\n\\n Returns:\\n ExplorationStats. The exploration stats domain object.\\n \\\"\\\"\\\"\\n exploration_stats = get_exploration_stats_by_id(exp_id, exp_version)\\n\\n if exploration_stats is None:\\n exploration_stats = stats_domain.ExplorationStats.create_default(\\n exp_id, exp_version, {})\\n\\n return exploration_stats\\n\\n\\ndef update_stats(exp_id, exp_version, aggregated_stats):\\n \\\"\\\"\\\"Updates ExplorationStatsModel according to the dict containing aggregated\\n stats.\\n\\n Args:\\n exp_id: str. ID of the exploration.\\n exp_version: int. Version of the exploration.\\n aggregated_stats: dict. Dict representing an ExplorationStatsModel\\n instance with stats aggregated in the frontend.\\n \\\"\\\"\\\"\\n exploration_stats = get_exploration_stats_by_id(\\n exp_id, exp_version)\\n\\n exploration_stats.num_starts_v2 += aggregated_stats['num_starts']\\n exploration_stats.num_completions_v2 += aggregated_stats['num_completions']\\n exploration_stats.num_actual_starts_v2 += aggregated_stats[\\n 'num_actual_starts']\\n\\n for state_name in aggregated_stats['state_stats_mapping']:\\n exploration_stats.state_stats_mapping[\\n state_name].total_answers_count_v2 += aggregated_stats[\\n 'state_stats_mapping'][state_name]['total_answers_count']\\n exploration_stats.state_stats_mapping[\\n state_name].useful_feedback_count_v2 += aggregated_stats[\\n 'state_stats_mapping'][state_name]['useful_feedback_count']\\n exploration_stats.state_stats_mapping[\\n state_name].total_hit_count_v2 += aggregated_stats[\\n 'state_stats_mapping'][state_name]['total_hit_count']\\n exploration_stats.state_stats_mapping[\\n state_name].first_hit_count_v2 += aggregated_stats[\\n 'state_stats_mapping'][state_name]['first_hit_count']\\n exploration_stats.state_stats_mapping[\\n state_name].num_times_solution_viewed_v2 += aggregated_stats[\\n 'state_stats_mapping'][state_name]['num_times_solution_viewed']\\n exploration_stats.state_stats_mapping[\\n state_name].num_completions_v2 += aggregated_stats[\\n 'state_stats_mapping'][state_name]['num_completions']\\n\\n save_stats_model_transactional(exploration_stats)\\n\\n\\ndef handle_stats_creation_for_new_exploration(exp_id, exp_version, state_names):\\n \\\"\\\"\\\"Creates ExplorationStatsModel for the freshly created exploration and\\n sets all initial values to zero.\\n\\n Args:\\n exp_id: str. ID of the exploration.\\n exp_version: int. Version of the exploration.\\n state_names: list(str). State names of the exploration.\\n \\\"\\\"\\\"\\n state_stats_mapping = {\\n state_name: stats_domain.StateStats.create_default()\\n for state_name in state_names\\n }\\n\\n exploration_stats = stats_domain.ExplorationStats.create_default(\\n exp_id, exp_version, state_stats_mapping)\\n create_stats_model(exploration_stats)\\n\\n\\ndef handle_stats_creation_for_new_exp_version(\\n exp_id, exp_version, state_names, exp_versions_diff, revert_to_version):\\n \\\"\\\"\\\"Retrieves the ExplorationStatsModel for the old exp_version and makes\\n any required changes to the structure of the model. Then, a new\\n ExplorationStatsModel is created for the new exp_version.\\n\\n Args:\\n exp_id: str. ID of the exploration.\\n exp_version: int. Version of the exploration.\\n state_names: list(str). State names of the exploration.\\n exp_versions_diff: ExplorationVersionsDiff|None. The domain object for\\n the exploration versions difference, None if it is a revert.\\n revert_to_version: int|None. If the change is a revert, the version.\\n Otherwise, None.\\n \\\"\\\"\\\"\\n old_exp_version = exp_version - 1\\n new_exp_version = exp_version\\n exploration_stats = get_exploration_stats_by_id(\\n exp_id, old_exp_version)\\n if exploration_stats is None:\\n handle_stats_creation_for_new_exploration(\\n exp_id, new_exp_version, state_names)\\n return\\n\\n # Handling reverts.\\n if revert_to_version:\\n old_exp_stats = get_exploration_stats_by_id(exp_id, revert_to_version)\\n # If the old exploration issues model doesn't exist, the current model\\n # is carried over (this is a fallback case for some tests, and can\\n # never happen in production.)\\n if old_exp_stats:\\n exploration_stats.num_starts_v2 = old_exp_stats.num_starts_v2\\n exploration_stats.num_actual_starts_v2 = (\\n old_exp_stats.num_actual_starts_v2)\\n exploration_stats.num_completions_v2 = (\\n old_exp_stats.num_completions_v2)\\n exploration_stats.state_stats_mapping = (\\n old_exp_stats.state_stats_mapping)\\n exploration_stats.exp_version = new_exp_version\\n create_stats_model(exploration_stats)\\n return\\n\\n # Handling state deletions.\\n for state_name in exp_versions_diff.deleted_state_names:\\n exploration_stats.state_stats_mapping.pop(state_name)\\n\\n # Handling state additions.\\n for state_name in exp_versions_diff.added_state_names:\\n exploration_stats.state_stats_mapping[state_name] = (\\n stats_domain.StateStats.create_default())\\n\\n # Handling state renames.\\n for new_state_name in exp_versions_diff.new_to_old_state_names:\\n exploration_stats.state_stats_mapping[new_state_name] = (\\n exploration_stats.state_stats_mapping.pop(\\n exp_versions_diff.new_to_old_state_names[new_state_name]))\\n\\n exploration_stats.exp_version = new_exp_version\\n\\n # Create new statistics model.\\n create_stats_model(exploration_stats)\\n\\n\\ndef create_exp_issues_for_new_exploration(exp_id, exp_version):\\n \\\"\\\"\\\"Creates the ExplorationIssuesModel instance for the exploration.\\n\\n Args:\\n exp_id: str. ID of the exploration.\\n exp_version: int. Version of the exploration.\\n \\\"\\\"\\\"\\n stats_models.ExplorationIssuesModel.create(exp_id, exp_version, [])\\n\\n\\ndef _handle_exp_issues_after_state_deletion(\\n state_name, exp_issue, deleted_state_names):\\n \\\"\\\"\\\"Checks if the exploration issue's concerned state is a deleted state and\\n invalidates the exploration issue accoridngly.\\n\\n Args:\\n state_name: str. The issue's concerened state name.\\n exp_issue: ExplorationIssue. The exploration issue domain object.\\n deleted_state_names: list(str). The list of deleted state names in this\\n commit.\\n\\n Returns:\\n ExplorationIssue. The exploration issue domain object.\\n \\\"\\\"\\\"\\n if state_name in deleted_state_names:\\n exp_issue.is_valid = False\\n return exp_issue\\n\\n\\ndef _handle_exp_issues_after_state_rename(\\n state_name, exp_issue, old_to_new_state_names,\\n playthrough_ids_by_state_name):\\n \\\"\\\"\\\"Checks if the exploration issue's concerned state is a renamed state and\\n modifies the exploration issue accoridngly.\\n\\n Args:\\n state_name: str. The issue's concerened state name.\\n exp_issue: ExplorationIssue. The exploration issue domain object.\\n old_to_new_state_names: dict. The dict mapping state names to their\\n renamed versions. This mapping contains state names only if it is\\n actually renamed.\\n playthrough_ids_by_state_name: dict. The dict mapping old state names to\\n their new ones\\n\\n Returns:\\n ExplorationIssue. The exploration issue domain object.\\n \\\"\\\"\\\"\\n if state_name not in old_to_new_state_names:\\n return exp_issue, playthrough_ids_by_state_name\\n\\n old_state_name = state_name\\n new_state_name = old_to_new_state_names[old_state_name]\\n if stats_models.ISSUE_TYPE_KEYNAME_MAPPING[\\n exp_issue.issue_type] == 'state_names':\\n state_names = exp_issue.issue_customization_args['state_names'][\\n 'value']\\n exp_issue.issue_customization_args['state_names']['value'] = [\\n new_state_name\\n if state_name == old_state_name else state_name\\n for state_name in state_names]\\n else:\\n exp_issue.issue_customization_args['state_name']['value'] = (\\n new_state_name)\\n\\n playthrough_ids_by_state_name[old_state_name].extend(\\n exp_issue.playthrough_ids)\\n\\n return exp_issue, playthrough_ids_by_state_name\\n\\n\\ndef update_exp_issues_for_new_exp_version(\\n exploration, exp_versions_diff, revert_to_version):\\n \\\"\\\"\\\"Retrieves the ExplorationIssuesModel for the old exp_version and makes\\n any required changes to the structure of the model.\\n\\n Args:\\n exploration: Exploration. Domain object for the exploration.\\n exp_versions_diff: ExplorationVersionsDiff|None. The domain object for\\n the exploration versions difference, None if it is a revert.\\n revert_to_version: int|None. If the change is a revert, the version.\\n Otherwise, None.\\n \\\"\\\"\\\"\\n exp_issues = get_exp_issues(exploration.id, exploration.version - 1)\\n if exp_issues is None:\\n create_exp_issues_for_new_exploration(\\n exploration.id, exploration.version - 1)\\n return\\n\\n # Handling reverts.\\n if revert_to_version:\\n old_exp_issues = get_exp_issues(exploration.id, revert_to_version)\\n # If the old exploration issues model doesn't exist, the current model\\n # is carried over (this is a fallback case for some tests, and can\\n # never happen in production.)\\n if old_exp_issues:\\n exp_issues.unresolved_issues = old_exp_issues.unresolved_issues\\n exp_issues.exp_version = exploration.version + 1\\n create_exp_issues_model(exp_issues)\\n return\\n\\n playthrough_ids_by_state_name = collections.defaultdict(list)\\n\\n for i_idx, exp_issue in enumerate(exp_issues.unresolved_issues):\\n keyname = stats_models.ISSUE_TYPE_KEYNAME_MAPPING[exp_issue.issue_type]\\n if keyname == 'state_names':\\n state_names = exp_issue.issue_customization_args[keyname]['value']\\n for state_name in state_names:\\n # Handle exp issues changes for deleted states.\\n exp_issues.unresolved_issues[i_idx] = (\\n _handle_exp_issues_after_state_deletion(\\n state_name, exp_issue,\\n exp_versions_diff.deleted_state_names))\\n\\n # Handle exp issues changes for renamed states.\\n exp_issues.unresolved_issues[\\n i_idx], playthrough_ids_by_state_name = (\\n _handle_exp_issues_after_state_rename(\\n state_name, exp_issue,\\n exp_versions_diff.old_to_new_state_names,\\n playthrough_ids_by_state_name))\\n else:\\n state_name = exp_issue.issue_customization_args[keyname]['value']\\n\\n # Handle exp issues changes for deleted states.\\n exp_issues.unresolved_issues[i_idx] = (\\n _handle_exp_issues_after_state_deletion(\\n state_name, exp_issue,\\n exp_versions_diff.deleted_state_names))\\n\\n # Handle exp issues changes for renamed states.\\n exp_issues.unresolved_issues[\\n i_idx], playthrough_ids_by_state_name = (\\n _handle_exp_issues_after_state_rename(\\n state_name, exp_issue,\\n exp_versions_diff.old_to_new_state_names,\\n playthrough_ids_by_state_name))\\n\\n # Handling changes to playthrough instances.\\n all_playthrough_ids = []\\n all_playthroughs = []\\n for old_state_name in playthrough_ids_by_state_name:\\n new_state_name = exp_versions_diff.old_to_new_state_names[\\n old_state_name]\\n playthrough_ids = playthrough_ids_by_state_name[old_state_name]\\n\\n playthroughs = get_playthroughs_multi(playthrough_ids)\\n for p_idx, playthrough in enumerate(playthroughs):\\n if stats_models.ISSUE_TYPE_KEYNAME_MAPPING[\\n playthrough.issue_type] == 'state_names':\\n state_names = playthrough.issue_customization_args[\\n 'state_names']['value']\\n playthrough.issue_customization_args['state_names']['value'] = [\\n new_state_name\\n if state_name == old_state_name else state_name\\n for state_name in state_names]\\n else:\\n playthrough.issue_customization_args['state_name']['value'] = (\\n new_state_name)\\n for a_idx, action in enumerate(playthrough.actions):\\n if action.action_customization_args['state_name']['value'] == (\\n old_state_name):\\n playthroughs[p_idx].actions[\\n a_idx].action_customization_args['state_name'][\\n 'value'] = new_state_name\\n\\n all_playthrough_ids.extend(playthrough_ids)\\n all_playthroughs.extend(playthroughs)\\n\\n update_playthroughs_multi(all_playthrough_ids, all_playthroughs)\\n\\n exp_issues.exp_version += 1\\n\\n create_exp_issues_model(exp_issues)\\n\\n\\ndef get_exp_issues(exp_id, exp_version):\\n \\\"\\\"\\\"Retrieves the ExplorationIssues domain object.\\n\\n Args:\\n exp_id: str. ID of the exploration.\\n exp_version: int. Version of the exploration.\\n\\n Returns:\\n ExplorationIssues|None: The domain object for exploration issues or\\n None if the exp_id is invalid.\\n \\\"\\\"\\\"\\n exp_issues = None\\n exp_issues_model = stats_models.ExplorationIssuesModel.get_model(\\n exp_id, exp_version)\\n if exp_issues_model is not None:\\n exp_issues = get_exp_issues_from_model(exp_issues_model)\\n return exp_issues\\n\\n\\ndef get_playthrough_by_id(playthrough_id):\\n \\\"\\\"\\\"Retrieves the Playthrough domain object.\\n\\n Args:\\n playthrough_id: str. ID of the playthrough.\\n\\n Returns:\\n Playthrough|None: The domain object for the playthrough or None if the\\n playthrough_id is invalid.\\n \\\"\\\"\\\"\\n playthrough = None\\n playthrough_model = stats_models.PlaythroughModel.get(\\n playthrough_id, strict=False)\\n if playthrough_model is not None:\\n playthrough = get_playthrough_from_model(playthrough_model)\\n return playthrough\\n\\n\\ndef get_playthroughs_multi(playthrough_ids):\\n \\\"\\\"\\\"Retrieves multiple Playthrough domain objects.\\n\\n Args:\\n playthrough_ids: list(str). List of playthrough IDs.\\n\\n Returns:\\n list(Playthrough). List of playthrough domain objects.\\n \\\"\\\"\\\"\\n playthrough_instances = stats_models.PlaythroughModel.get_multi(\\n playthrough_ids)\\n playthroughs = [\\n get_playthrough_from_model(playthrough_instance)\\n for playthrough_instance in playthrough_instances]\\n return playthroughs\\n\\n\\ndef update_playthroughs_multi(playthrough_ids, playthroughs):\\n \\\"\\\"\\\"Updates the playthrough instances.\\n\\n Args:\\n playthrough_ids: list(str). List of playthrough IDs.\\n playthroughs: list(Playthrough). List of playthrough domain objects.\\n \\\"\\\"\\\"\\n playthrough_instances = stats_models.PlaythroughModel.get_multi(\\n playthrough_ids)\\n updated_instances = []\\n for idx, playthrough_instance in enumerate(playthrough_instances):\\n playthrough_dict = playthroughs[idx].to_dict()\\n playthrough_instance.issue_type = playthrough_dict['issue_type']\\n playthrough_instance.issue_customization_args = (\\n playthrough_dict['issue_customization_args'])\\n playthrough_instance.actions = playthrough_dict['actions']\\n updated_instances.append(playthrough_instance)\\n stats_models.PlaythroughModel.put_multi(updated_instances)\\n\\n\\ndef get_exploration_stats_by_id(exp_id, exp_version):\\n \\\"\\\"\\\"Retrieves the ExplorationStats domain object.\\n\\n Args:\\n exp_id: str. ID of the exploration.\\n exp_version: int. Version of the exploration.\\n\\n Returns:\\n ExplorationStats. The domain object for exploration statistics.\\n\\n Raises:\\n Exception: Entity for class ExplorationStatsModel with id not found.\\n \\\"\\\"\\\"\\n exploration_stats = None\\n exploration_stats_model = stats_models.ExplorationStatsModel.get_model(\\n exp_id, exp_version)\\n if exploration_stats_model is not None:\\n exploration_stats = get_exploration_stats_from_model(\\n exploration_stats_model)\\n return exploration_stats\\n\\n\\ndef get_multiple_exploration_stats_by_version(exp_id, version_numbers):\\n \\\"\\\"\\\"Returns a list of ExplorationStats domain objects corresponding to the\\n specified versions.\\n\\n Args:\\n exp_id: str. ID of the exploration.\\n version_numbers: list(int). List of version numbers.\\n\\n Returns:\\n list(ExplorationStats|None). List of ExplorationStats domain class\\n instances.\\n \\\"\\\"\\\"\\n exploration_stats = []\\n exploration_stats_models = (\\n stats_models.ExplorationStatsModel.get_multi_versions(\\n exp_id, version_numbers))\\n for exploration_stats_model in exploration_stats_models:\\n if exploration_stats_model is None:\\n exploration_stats.append(None)\\n else:\\n exploration_stats.append(get_exploration_stats_from_model(\\n exploration_stats_model))\\n return exploration_stats\\n\\n\\ndef get_exp_issues_from_model(exp_issues_model):\\n \\\"\\\"\\\"Gets an ExplorationIssues domain object from an ExplorationIssuesModel\\n instance.\\n\\n Args:\\n exp_issues_model: ExplorationIssuesModel. Exploration issues model in\\n datastore.\\n\\n Returns:\\n ExplorationIssues. The domain object for exploration issues.\\n \\\"\\\"\\\"\\n unresolved_issues = []\\n for unresolved_issue_dict in exp_issues_model.unresolved_issues:\\n _migrate_to_latest_issue_schema(copy.deepcopy(unresolved_issue_dict))\\n unresolved_issues.append(\\n stats_domain.ExplorationIssue.from_dict(unresolved_issue_dict))\\n return stats_domain.ExplorationIssues(\\n exp_issues_model.exp_id, exp_issues_model.exp_version,\\n unresolved_issues)\\n\\n\\ndef get_exploration_stats_from_model(exploration_stats_model):\\n \\\"\\\"\\\"Gets an ExplorationStats domain object from an ExplorationStatsModel\\n instance.\\n\\n Args:\\n exploration_stats_model: ExplorationStatsModel. Exploration statistics\\n model in datastore.\\n\\n Returns:\\n ExplorationStats. The domain object for exploration statistics.\\n \\\"\\\"\\\"\\n new_state_stats_mapping = {\\n state_name: stats_domain.StateStats.from_dict(\\n exploration_stats_model.state_stats_mapping[state_name])\\n for state_name in exploration_stats_model.state_stats_mapping\\n }\\n return stats_domain.ExplorationStats(\\n exploration_stats_model.exp_id,\\n exploration_stats_model.exp_version,\\n exploration_stats_model.num_starts_v1,\\n exploration_stats_model.num_starts_v2,\\n exploration_stats_model.num_actual_starts_v1,\\n exploration_stats_model.num_actual_starts_v2,\\n exploration_stats_model.num_completions_v1,\\n exploration_stats_model.num_completions_v2,\\n new_state_stats_mapping)\\n\\n\\ndef get_playthrough_from_model(playthrough_model):\\n \\\"\\\"\\\"Gets a PlaythroughModel domain object from a PlaythroughModel instance.\\n\\n Args:\\n playthrough_model: PlaythroughModel. Playthrough model in datastore.\\n\\n Returns:\\n Playthrough. The domain object for a playthrough.\\n \\\"\\\"\\\"\\n actions = []\\n for action_dict in playthrough_model.actions:\\n _migrate_to_latest_action_schema(action_dict)\\n actions.append(stats_domain.LearnerAction.from_dict(action_dict))\\n return stats_domain.Playthrough(\\n playthrough_model.exp_id, playthrough_model.exp_version,\\n playthrough_model.issue_type,\\n playthrough_model.issue_customization_args, actions)\\n\\n\\ndef create_stats_model(exploration_stats):\\n \\\"\\\"\\\"Creates an ExplorationStatsModel in datastore given an ExplorationStats\\n domain object.\\n\\n Args:\\n exploration_stats: ExplorationStats. The domain object for exploration\\n statistics.\\n\\n Returns:\\n str. ID of the datastore instance for ExplorationStatsModel.\\n \\\"\\\"\\\"\\n new_state_stats_mapping = {\\n state_name: exploration_stats.state_stats_mapping[state_name].to_dict()\\n for state_name in exploration_stats.state_stats_mapping\\n }\\n instance_id = stats_models.ExplorationStatsModel.create(\\n exploration_stats.exp_id,\\n exploration_stats.exp_version,\\n exploration_stats.num_starts_v1,\\n exploration_stats.num_starts_v2,\\n exploration_stats.num_actual_starts_v1,\\n exploration_stats.num_actual_starts_v2,\\n exploration_stats.num_completions_v1,\\n exploration_stats.num_completions_v2,\\n new_state_stats_mapping\\n )\\n return instance_id\\n\\n\\ndef _save_stats_model(exploration_stats):\\n \\\"\\\"\\\"Updates the ExplorationStatsModel datastore instance with the passed\\n ExplorationStats domain object.\\n\\n Args:\\n exploration_stats. ExplorationStats. The exploration statistics domain\\n object.\\n \\\"\\\"\\\"\\n new_state_stats_mapping = {\\n state_name: exploration_stats.state_stats_mapping[state_name].to_dict()\\n for state_name in exploration_stats.state_stats_mapping\\n }\\n\\n exploration_stats_model = stats_models.ExplorationStatsModel.get_model(\\n exploration_stats.exp_id, exploration_stats.exp_version)\\n\\n exploration_stats_model.num_starts_v1 = exploration_stats.num_starts_v1\\n exploration_stats_model.num_starts_v2 = exploration_stats.num_starts_v2\\n exploration_stats_model.num_actual_starts_v1 = (\\n exploration_stats.num_actual_starts_v1)\\n exploration_stats_model.num_actual_starts_v2 = (\\n exploration_stats.num_actual_starts_v2)\\n exploration_stats_model.num_completions_v1 = (\\n exploration_stats.num_completions_v1)\\n exploration_stats_model.num_completions_v2 = (\\n exploration_stats.num_completions_v2)\\n exploration_stats_model.state_stats_mapping = new_state_stats_mapping\\n\\n exploration_stats_model.put()\\n\\n\\ndef save_stats_model_transactional(exploration_stats):\\n \\\"\\\"\\\"Updates the ExplorationStatsModel datastore instance with the passed\\n ExplorationStats domain object in a transaction.\\n\\n Args:\\n exploration_stats. ExplorationStats. The exploration statistics domain\\n object.\\n \\\"\\\"\\\"\\n transaction_services.run_in_transaction(\\n _save_stats_model, exploration_stats)\\n\\n\\ndef create_exp_issues_model(exp_issues):\\n \\\"\\\"\\\"Creates a new ExplorationIssuesModel in the datastore.\\n\\n Args:\\n exp_issues: ExplorationIssues. The exploration issues domain object.\\n \\\"\\\"\\\"\\n unresolved_issues_dicts = [\\n unresolved_issue.to_dict()\\n for unresolved_issue in exp_issues.unresolved_issues]\\n stats_models.ExplorationIssuesModel.create(\\n exp_issues.exp_id, exp_issues.exp_version, unresolved_issues_dicts)\\n\\n\\ndef _save_exp_issues_model(exp_issues):\\n \\\"\\\"\\\"Updates the ExplorationIssuesModel datastore instance with the passed\\n ExplorationIssues domain object.\\n\\n Args:\\n exp_issues: ExplorationIssues. The exploration issues domain\\n object.\\n \\\"\\\"\\\"\\n unresolved_issues_dicts = [\\n unresolved_issue.to_dict()\\n for unresolved_issue in exp_issues.unresolved_issues]\\n exp_issues_model = stats_models.ExplorationIssuesModel.get_model(\\n exp_issues.exp_id, exp_issues.exp_version)\\n exp_issues_model.exp_version = exp_issues.exp_version\\n exp_issues_model.unresolved_issues = unresolved_issues_dicts\\n\\n exp_issues_model.put()\\n\\n\\ndef save_exp_issues_model_transactional(exp_issues):\\n \\\"\\\"\\\"Updates the ExplorationIssuesModel datastore instance with the passed\\n ExplorationIssues domain object in a transaction.\\n\\n Args:\\n exp_issues: ExplorationIssues. The exploration issues domain\\n object.\\n \\\"\\\"\\\"\\n transaction_services.run_in_transaction(\\n _save_exp_issues_model, exp_issues)\\n\\n\\ndef get_exploration_stats_multi(exp_version_references):\\n \\\"\\\"\\\"Retrieves the exploration stats for the given explorations.\\n\\n Args:\\n exp_version_references: list(ExpVersionReference). List of exploration\\n version reference domain objects.\\n\\n Returns:\\n list(ExplorationStats). The list of exploration stats domain objects.\\n \\\"\\\"\\\"\\n exploration_stats_models = (\\n stats_models.ExplorationStatsModel.get_multi_stats_models(\\n exp_version_references))\\n\\n exploration_stats_list = []\\n for index, exploration_stats_model in enumerate(exploration_stats_models):\\n if exploration_stats_model is None:\\n exploration_stats_list.append(\\n stats_domain.ExplorationStats.create_default(\\n exp_version_references[index].exp_id,\\n exp_version_references[index].version,\\n {}))\\n else:\\n exploration_stats_list.append(\\n get_exploration_stats_from_model(exploration_stats_model))\\n\\n return exploration_stats_list\\n\\n\\ndef delete_playthroughs_multi(playthrough_ids):\\n \\\"\\\"\\\"Deletes multiple playthrough instances.\\n\\n Args:\\n playthrough_ids: list(str). List of playthrough IDs to be deleted.\\n \\\"\\\"\\\"\\n stats_models.PlaythroughModel.delete_playthroughs_multi(playthrough_ids)\\n\\n\\ndef get_visualizations_info(exp_id, state_name, interaction_id):\\n \\\"\\\"\\\"Returns a list of visualization info. Each item in the list is a dict\\n with keys 'data' and 'options'.\\n\\n Args:\\n exp_id: str. The ID of the exploration.\\n state_name: str. Name of the state.\\n interaction_id: str. The interaction type.\\n\\n Returns:\\n list(dict). Each item in the list is a dict with keys representing\\n - 'id': str. The visualization ID.\\n - 'data': list(dict). A list of answer/frequency dicts.\\n - 'options': dict. The visualization options.\\n\\n An example of the returned value may be:\\n [{'options': {'y_axis_label': 'Count', 'x_axis_label': 'Answer'},\\n 'id': 'BarChart',\\n 'data': [{u'frequency': 1, u'answer': 0}]}]\\n \\\"\\\"\\\"\\n if interaction_id is None:\\n return []\\n\\n visualizations = interaction_registry.Registry.get_interaction_by_id(\\n interaction_id).answer_visualizations\\n\\n calculation_ids = set([\\n visualization.calculation_id for visualization in visualizations])\\n\\n calculation_ids_to_outputs = {}\\n for calculation_id in calculation_ids:\\n # Don't show top unresolved answers calculation ouutput in stats of\\n # exploration.\\n if calculation_id == 'TopNUnresolvedAnswersByFrequency':\\n continue\\n\\n # This is None if the calculation job has not yet been run for this\\n # state.\\n calc_output_domain_object = _get_calc_output(\\n exp_id, state_name, calculation_id)\\n\\n # If the calculation job has not yet been run for this state, we simply\\n # exclude the corresponding visualization results.\\n if calc_output_domain_object is None:\\n continue\\n\\n # If the output was associated with a different interaction ID, skip the\\n # results. This filtering step is needed since the same calculation_id\\n # can be shared across multiple interaction types.\\n if calc_output_domain_object.interaction_id != interaction_id:\\n continue\\n\\n calculation_ids_to_outputs[calculation_id] = (\\n calc_output_domain_object.calculation_output.to_raw_type())\\n return [{\\n 'id': visualization.id,\\n 'data': calculation_ids_to_outputs[visualization.calculation_id],\\n 'options': visualization.options,\\n 'addressed_info_is_supported': (\\n visualization.addressed_info_is_supported),\\n } for visualization in visualizations\\n if visualization.calculation_id in calculation_ids_to_outputs]\\n\\n\\ndef record_answer(\\n exploration_id, exploration_version, state_name, interaction_id,\\n submitted_answer):\\n \\\"\\\"\\\"Record an answer by storing it to the corresponding StateAnswers entity.\\n\\n Args:\\n exploration_id: str. The exploration ID.\\n exploration_version: int. The version of the exploration.\\n state_name: str. The name of the state.\\n interaction_id: str. The ID of the interaction.\\n submitted_answer: SubmittedAnswer. The submitted answer.\\n \\\"\\\"\\\"\\n record_answers(\\n exploration_id, exploration_version, state_name, interaction_id,\\n [submitted_answer])\\n\\n\\ndef record_answers(\\n exploration_id, exploration_version, state_name, interaction_id,\\n submitted_answer_list):\\n \\\"\\\"\\\"Optimally record a group of answers using an already loaded exploration..\\n The submitted_answer_list is a list of SubmittedAnswer domain objects.\\n\\n Args:\\n exploration_id: str. The exploration ID.\\n exploration_version: int. The version of the exploration.\\n state_name: str. The name of the state.\\n interaction_id: str. The ID of the interaction.\\n submitted_answer_list: list(SubmittedAnswer). The list of answers to be\\n recorded.\\n \\\"\\\"\\\"\\n state_answers = stats_domain.StateAnswers(\\n exploration_id, exploration_version, state_name, interaction_id,\\n submitted_answer_list)\\n for submitted_answer in submitted_answer_list:\\n submitted_answer.validate()\\n\\n stats_models.StateAnswersModel.insert_submitted_answers(\\n state_answers.exploration_id, state_answers.exploration_version,\\n state_answers.state_name, state_answers.interaction_id,\\n state_answers.get_submitted_answer_dict_list())\\n\\n\\ndef get_state_answers(exploration_id, exploration_version, state_name):\\n \\\"\\\"\\\"Returns a StateAnswers object containing all answers associated with the\\n specified exploration state, or None if no such answers have yet been\\n submitted.\\n\\n Args:\\n exploration_id: str. The exploration ID.\\n exploration_version: int. The version of the exploration to fetch\\n answers for.\\n state_name: str. The name of the state to fetch answers for.\\n\\n Returns:\\n StateAnswers or None. A StateAnswers object containing all answers\\n associated with the state, or None if no such answers exist.\\n \\\"\\\"\\\"\\n state_answers_models = stats_models.StateAnswersModel.get_all_models(\\n exploration_id, exploration_version, state_name)\\n if state_answers_models:\\n main_state_answers_model = state_answers_models[0]\\n submitted_answer_dict_list = itertools.chain.from_iterable([\\n state_answers_model.submitted_answer_list\\n for state_answers_model in state_answers_models])\\n return stats_domain.StateAnswers(\\n exploration_id, exploration_version, state_name,\\n main_state_answers_model.interaction_id,\\n [stats_domain.SubmittedAnswer.from_dict(submitted_answer_dict)\\n for submitted_answer_dict in submitted_answer_dict_list],\\n schema_version=main_state_answers_model.schema_version)\\n else:\\n return None\\n\\n\\ndef get_sample_answers(exploration_id, exploration_version, state_name):\\n \\\"\\\"\\\"Fetches a list of sample answers that were submitted to the specified\\n exploration state (at the given version of the exploration).\\n\\n Args:\\n exploration_id: str. The exploration ID.\\n exploration_version: int. The version of the exploration to fetch\\n answers for.\\n state_name: str. The name of the state to fetch answers for.\\n\\n Returns:\\n list(*). A list of some sample raw answers. At most 100 answers are\\n returned.\\n \\\"\\\"\\\"\\n answers_model = stats_models.StateAnswersModel.get_master_model(\\n exploration_id, exploration_version, state_name)\\n if answers_model is None:\\n return []\\n\\n # Return at most 100 answers, and only answers from the initial shard (If\\n # we needed to use subsequent shards then the answers are probably too big\\n # anyway).\\n sample_answers = answers_model.submitted_answer_list[:100]\\n return [\\n stats_domain.SubmittedAnswer.from_dict(submitted_answer_dict).answer\\n for submitted_answer_dict in sample_answers]\\n\\n\\ndef get_top_state_answer_stats(exploration_id, state_name):\\n \\\"\\\"\\\"Fetches the top (at most) 10 answers from the given state_name in the\\n corresponding exploration. Only answers that occur with frequency >=\\n STATE_ANSWER_STATS_MIN_FREQUENCY are returned.\\n\\n Args:\\n exploration_id: str. The exploration ID.\\n state_name: str. The name of the state to fetch answers for.\\n\\n Returns:\\n list(*). A list of the top 10 answers, sorted by decreasing frequency.\\n \\\"\\\"\\\"\\n calc_output = (\\n _get_calc_output(exploration_id, state_name, 'Top10AnswerFrequencies'))\\n raw_calc_output = (\\n [] if calc_output is None else\\n calc_output.calculation_output.to_raw_type())\\n return [\\n {'answer': output['answer'], 'frequency': output['frequency']}\\n for output in raw_calc_output\\n if output['frequency'] >= feconf.STATE_ANSWER_STATS_MIN_FREQUENCY\\n ]\\n\\n\\ndef get_top_state_unresolved_answers(exploration_id, state_name):\\n \\\"\\\"\\\"Fetches the top unresolved answers for the given state_name in the\\n corresponding exploration. Only answers that occur with frequency >=\\n STATE_ANSWER_STATS_MIN_FREQUENCY are returned.\\n\\n Args:\\n exploration_id: str. The exploration ID.\\n state_name: str. The name of the state to fetch answers for.\\n\\n Returns:\\n list(*). A list of the top 10 answers, sorted by decreasing frequency.\\n \\\"\\\"\\\"\\n calc_output_model = _get_calc_output(\\n exploration_id, state_name, 'TopNUnresolvedAnswersByFrequency')\\n\\n if not calc_output_model:\\n return []\\n\\n calculation_output = calc_output_model.calculation_output.to_raw_type()\\n return [\\n {'answer': output['answer'], 'frequency': output['frequency']}\\n for output in calculation_output\\n if output['frequency'] >= feconf.STATE_ANSWER_STATS_MIN_FREQUENCY\\n ]\\n\\n\\ndef get_top_state_answer_stats_multi(exploration_id, state_names):\\n \\\"\\\"\\\"Fetches the top (at most) 10 answers from each given state_name in the\\n corresponding exploration. Only answers that occur with frequency >=\\n STATE_ANSWER_STATS_MIN_FREQUENCY are returned.\\n\\n Args:\\n exploration_id: str. The exploration ID.\\n state_names: list(str). The name of the state to fetch answers for.\\n\\n Returns:\\n dict(str: list(*)). Dict mapping each state name to the list of its top\\n (at most) 10 answers, sorted by decreasing frequency.\\n \\\"\\\"\\\"\\n return {\\n state_name: get_top_state_answer_stats(exploration_id, state_name)\\n for state_name in state_names\\n }\\n\\n\\ndef _get_calc_output(exploration_id, state_name, calculation_id):\\n \\\"\\\"\\\"Get state answers calculation output domain object obtained from\\n StateAnswersCalcOutputModel instance stored in the data store. The\\n calculation ID comes from the name of the calculation class used to compute\\n aggregate data from submitted user answers. This returns aggregated output\\n for all versions of the specified state and exploration.\\n\\n Args:\\n exploration_id: str. ID of the exploration.\\n state_name: str. Name of the state.\\n calculation_id: str. Name of the calculation class.\\n\\n Returns:\\n StateAnswersCalcOutput|None. The state answers calculation output\\n domain object or None.\\n \\\"\\\"\\\"\\n calc_output_model = stats_models.StateAnswersCalcOutputModel.get_model(\\n exploration_id, VERSION_ALL, state_name, calculation_id)\\n if calc_output_model:\\n calculation_output = None\\n if (calc_output_model.calculation_output_type ==\\n stats_domain.CALC_OUTPUT_TYPE_ANSWER_FREQUENCY_LIST):\\n calculation_output = (\\n stats_domain.AnswerFrequencyList.from_raw_type(\\n calc_output_model.calculation_output))\\n elif (calc_output_model.calculation_output_type ==\\n stats_domain.CALC_OUTPUT_TYPE_CATEGORIZED_ANSWER_FREQUENCY_LISTS):\\n calculation_output = (\\n stats_domain.CategorizedAnswerFrequencyLists.from_raw_type(\\n calc_output_model.calculation_output))\\n return stats_domain.StateAnswersCalcOutput(\\n exploration_id, VERSION_ALL, state_name,\\n calc_output_model.interaction_id, calculation_id,\\n calculation_output)\\n else:\\n return None\\n\",\n \"path\": \"core/domain/stats_services.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"# coding: utf-8\n#\n# Copyright 2014 The Oppia Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS-IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\"\"\"Services for exploration-related statistics.\"\"\"\n\nimport collections\nimport copy\nimport itertools\n\nfrom core.domain import interaction_registry\nfrom core.domain import stats_domain\nfrom core.platform import models\nimport feconf\n\n(stats_models,) = models.Registry.import_models([models.NAMES.statistics])\ntransaction_services = models.Registry.import_transaction_services()\n\n\n# Counts contributions from all versions.\nVERSION_ALL = 'all'\n\n\ndef _migrate_to_latest_issue_schema(exp_issue_dict):\n \"\"\"Holds the responsibility of performing a step-by-step sequential update\n of an exploration issue dict based on its schema version. If the current\n issue schema version changes (stats_models.CURRENT_ISSUE_SCHEMA_VERSION), a\n new conversion function must be added and some code appended to this\n function to account for that new version.\n\n Args:\n exp_issue_dict: dict. Dict representing the exploration issue.\n\n Raises:\n Exception. The issue_schema_version is invalid.\n \"\"\"\n issue_schema_version = exp_issue_dict['schema_version']\n if issue_schema_version is None or issue_schema_version < 1:\n issue_schema_version = 0\n\n if not (0 <= issue_schema_version\n <= stats_models.CURRENT_ISSUE_SCHEMA_VERSION):\n raise Exception(\n 'Sorry, we can only process v1-v%d and unversioned issue schemas at'\n 'present.' %\n stats_models.CURRENT_ISSUE_SCHEMA_VERSION)\n\n while issue_schema_version < stats_models.CURRENT_ISSUE_SCHEMA_VERSION:\n stats_domain.ExplorationIssue.update_exp_issue_from_model(\n exp_issue_dict)\n issue_schema_version += 1\n\n\ndef _migrate_to_latest_action_schema(learner_action_dict):\n \"\"\"Holds the responsibility of performing a step-by-step sequential update\n of an learner action dict based on its schema version. If the current action\n schema version changes (stats_models.CURRENT_ACTION_SCHEMA_VERSION), a new\n conversion function must be added and some code appended to this function to\n account for that new version.\n\n Args:\n learner_action_dict: dict. Dict representing the learner action.\n\n Raises:\n Exception. The action_schema_version is invalid.\n \"\"\"\n action_schema_version = learner_action_dict['schema_version']\n if action_schema_version is None or action_schema_version < 1:\n action_schema_version = 0\n\n if not (0 <= action_schema_version\n <= stats_models.CURRENT_ACTION_SCHEMA_VERSION):\n raise Exception(\n 'Sorry, we can only process v1-v%d and unversioned action schemas '\n 'at present.' %\n stats_models.CURRENT_ACTION_SCHEMA_VERSION)\n\n while action_schema_version < stats_models.CURRENT_ACTION_SCHEMA_VERSION:\n stats_domain.LearnerAction.update_learner_action_from_model(\n learner_action_dict)\n action_schema_version += 1\n\n\ndef get_exploration_stats(exp_id, exp_version):\n \"\"\"Retrieves the ExplorationStats domain instance.\n\n Args:\n exp_id: str. ID of the exploration.\n exp_version: int. Version of the exploration.\n\n Returns:\n ExplorationStats. The exploration stats domain object.\n \"\"\"\n exploration_stats = get_exploration_stats_by_id(exp_id, exp_version)\n if exploration_stats is None:\n exploration_stats = stats_domain.ExplorationStats.create_default(\n exp_id, exp_version, {})\n\n return exploration_stats\n\n\ndef update_stats(exp_id, exp_version, aggregated_stats):\n \"\"\"Updates ExplorationStatsModel according to the dict containing aggregated\n stats.\n\n Args:\n exp_id: str. ID of the exploration.\n exp_version: int. Version of the exploration.\n aggregated_stats: dict. Dict representing an ExplorationStatsModel\n instance with stats aggregated in the frontend.\n \"\"\"\n exploration_stats = get_exploration_stats_by_id(\n exp_id, exp_version)\n\n exploration_stats.num_starts_v2 += aggregated_stats['num_starts']\n exploration_stats.num_completions_v2 += aggregated_stats['num_completions']\n exploration_stats.num_actual_starts_v2 += aggregated_stats[\n 'num_actual_starts']\n\n for state_name in aggregated_stats['state_stats_mapping']:\n exploration_stats.state_stats_mapping[\n state_name].total_answers_count_v2 += aggregated_stats[\n 'state_stats_mapping'][state_name]['total_answers_count']\n exploration_stats.state_stats_mapping[\n state_name].useful_feedback_count_v2 += aggregated_stats[\n 'state_stats_mapping'][state_name]['useful_feedback_count']\n exploration_stats.state_stats_mapping[\n state_name].total_hit_count_v2 += aggregated_stats[\n 'state_stats_mapping'][state_name]['total_hit_count']\n exploration_stats.state_stats_mapping[\n state_name].first_hit_count_v2 += aggregated_stats[\n 'state_stats_mapping'][state_name]['first_hit_count']\n exploration_stats.state_stats_mapping[\n state_name].num_times_solution_viewed_v2 += aggregated_stats[\n 'state_stats_mapping'][state_name]['num_times_solution_viewed']\n exploration_stats.state_stats_mapping[\n state_name].num_completions_v2 += aggregated_stats[\n 'state_stats_mapping'][state_name]['num_completions']\n\n save_stats_model_transactional(exploration_stats)\n\n\ndef handle_stats_creation_for_new_exploration(exp_id, exp_version, state_names):\n \"\"\"Creates ExplorationStatsModel for the freshly created exploration and\n sets all initial values to zero.\n\n Args:\n exp_id: str. ID of the exploration.\n exp_version: int. Version of the exploration.\n state_names: list(str). State names of the exploration.\n \"\"\"\n state_stats_mapping = {\n state_name: stats_domain.StateStats.create_default()\n for state_name in state_names\n }\n\n exploration_stats = stats_domain.ExplorationStats.create_default(\n exp_id, exp_version, state_stats_mapping)\n create_stats_model(exploration_stats)\n\n\ndef handle_stats_creation_for_new_exp_version(\n exp_id, exp_version, state_names, exp_versions_diff, revert_to_version):\n \"\"\"Retrieves the ExplorationStatsModel for the old exp_version and makes\n any required changes to the structure of the model. Then, a new\n ExplorationStatsModel is created for the new exp_version.\n\n Args:\n exp_id: str. ID of the exploration.\n exp_version: int. Version of the exploration.\n state_names: list(str). State names of the exploration.\n exp_versions_diff: ExplorationVersionsDiff|None. The domain object for\n the exploration versions difference, None if it is a revert.\n revert_to_version: int|None. If the change is a revert, the version.\n Otherwise, None.\n \"\"\"\n old_exp_version = exp_version - 1\n new_exp_version = exp_version\n exploration_stats = get_exploration_stats_by_id(\n exp_id, old_exp_version)\n if exploration_stats is None:\n handle_stats_creation_for_new_exploration(\n exp_id, new_exp_version, state_names)\n return\n\n # Handling reverts.\n if revert_to_version:\n old_exp_stats = get_exploration_stats_by_id(exp_id, revert_to_version)\n # If the old exploration issues model doesn't exist, the current model\n # is carried over (this is a fallback case for some tests, and can\n # never happen in production.)\n if old_exp_stats:\n exploration_stats.num_starts_v2 = old_exp_stats.num_starts_v2\n exploration_stats.num_actual_starts_v2 = (\n old_exp_stats.num_actual_starts_v2)\n exploration_stats.num_completions_v2 = (\n old_exp_stats.num_completions_v2)\n exploration_stats.state_stats_mapping = (\n old_exp_stats.state_stats_mapping)\n exploration_stats.exp_version = new_exp_version\n create_stats_model(exploration_stats)\n return\n\n # Handling state deletions.\n for state_name in exp_versions_diff.deleted_state_names:\n exploration_stats.state_stats_mapping.pop(state_name)\n\n # Handling state additions.\n for state_name in exp_versions_diff.added_state_names:\n exploration_stats.state_stats_mapping[state_name] = (\n stats_domain.StateStats.create_default())\n\n # Handling state renames.\n for new_state_name in exp_versions_diff.new_to_old_state_names:\n exploration_stats.state_stats_mapping[new_state_name] = (\n exploration_stats.state_stats_mapping.pop(\n exp_versions_diff.new_to_old_state_names[new_state_name]))\n\n exploration_stats.exp_version = new_exp_version\n\n # Create new statistics model.\n create_stats_model(exploration_stats)\n\n\ndef create_exp_issues_for_new_exploration(exp_id, exp_version):\n \"\"\"Creates the ExplorationIssuesModel instance for the exploration.\n\n Args:\n exp_id: str. ID of the exploration.\n exp_version: int. Version of the exploration.\n \"\"\"\n stats_models.ExplorationIssuesModel.create(exp_id, exp_version, [])\n\n\ndef _handle_exp_issues_after_state_deletion(\n state_name, exp_issue, deleted_state_names):\n \"\"\"Checks if the exploration issue's concerned state is a deleted state and\n invalidates the exploration issue accoridngly.\n\n Args:\n state_name: str. The issue's concerened state name.\n exp_issue: ExplorationIssue. The exploration issue domain object.\n deleted_state_names: list(str). The list of deleted state names in this\n commit.\n\n Returns:\n ExplorationIssue. The exploration issue domain object.\n \"\"\"\n if state_name in deleted_state_names:\n exp_issue.is_valid = False\n return exp_issue\n\n\ndef _handle_exp_issues_after_state_rename(\n state_name, exp_issue, old_to_new_state_names,\n playthrough_ids_by_state_name):\n \"\"\"Checks if the exploration issue's concerned state is a renamed state and\n modifies the exploration issue accoridngly.\n\n Args:\n state_name: str. The issue's concerened state name.\n exp_issue: ExplorationIssue. The exploration issue domain object.\n old_to_new_state_names: dict. The dict mapping state names to their\n renamed versions. This mapping contains state names only if it is\n actually renamed.\n playthrough_ids_by_state_name: dict. The dict mapping old state names to\n their new ones\n\n Returns:\n ExplorationIssue. The exploration issue domain object.\n \"\"\"\n if state_name not in old_to_new_state_names:\n return exp_issue, playthrough_ids_by_state_name\n\n old_state_name = state_name\n new_state_name = old_to_new_state_names[old_state_name]\n if stats_models.ISSUE_TYPE_KEYNAME_MAPPING[\n exp_issue.issue_type] == 'state_names':\n state_names = exp_issue.issue_customization_args['state_names'][\n 'value']\n exp_issue.issue_customization_args['state_names']['value'] = [\n new_state_name\n if state_name == old_state_name else state_name\n for state_name in state_names]\n else:\n exp_issue.issue_customization_args['state_name']['value'] = (\n new_state_name)\n\n playthrough_ids_by_state_name[old_state_name].extend(\n exp_issue.playthrough_ids)\n\n return exp_issue, playthrough_ids_by_state_name\n\n\ndef update_exp_issues_for_new_exp_version(\n exploration, exp_versions_diff, revert_to_version):\n \"\"\"Retrieves the ExplorationIssuesModel for the old exp_version and makes\n any required changes to the structure of the model.\n\n Args:\n exploration: Exploration. Domain object for the exploration.\n exp_versions_diff: ExplorationVersionsDiff|None. The domain object for\n the exploration versions difference, None if it is a revert.\n revert_to_version: int|None. If the change is a revert, the version.\n Otherwise, None.\n \"\"\"\n exp_issues = get_exp_issues(exploration.id, exploration.version - 1)\n if exp_issues is None:\n create_exp_issues_for_new_exploration(\n exploration.id, exploration.version - 1)\n return\n\n # Handling reverts.\n if revert_to_version:\n old_exp_issues = get_exp_issues(exploration.id, revert_to_version)\n # If the old exploration issues model doesn't exist, the current model\n # is carried over (this is a fallback case for some tests, and can\n # never happen in production.)\n if old_exp_issues:\n exp_issues.unresolved_issues = old_exp_issues.unresolved_issues\n exp_issues.exp_version = exploration.version + 1\n create_exp_issues_model(exp_issues)\n return\n\n playthrough_ids_by_state_name = collections.defaultdict(list)\n\n for i_idx, exp_issue in enumerate(exp_issues.unresolved_issues):\n keyname = stats_models.ISSUE_TYPE_KEYNAME_MAPPING[exp_issue.issue_type]\n if keyname == 'state_names':\n state_names = exp_issue.issue_customization_args[keyname]['value']\n for state_name in state_names:\n # Handle exp issues changes for deleted states.\n exp_issues.unresolved_issues[i_idx] = (\n _handle_exp_issues_after_state_deletion(\n state_name, exp_issue,\n exp_versions_diff.deleted_state_names))\n\n # Handle exp issues changes for renamed states.\n exp_issues.unresolved_issues[\n i_idx], playthrough_ids_by_state_name = (\n _handle_exp_issues_after_state_rename(\n state_name, exp_issue,\n exp_versions_diff.old_to_new_state_names,\n playthrough_ids_by_state_name))\n else:\n state_name = exp_issue.issue_customization_args[keyname]['value']\n\n # Handle exp issues changes for deleted states.\n exp_issues.unresolved_issues[i_idx] = (\n _handle_exp_issues_after_state_deletion(\n state_name, exp_issue,\n exp_versions_diff.deleted_state_names))\n\n # Handle exp issues changes for renamed states.\n exp_issues.unresolved_issues[\n i_idx], playthrough_ids_by_state_name = (\n _handle_exp_issues_after_state_rename(\n state_name, exp_issue,\n exp_versions_diff.old_to_new_state_names,\n playthrough_ids_by_state_name))\n\n # Handling changes to playthrough instances.\n all_playthrough_ids = []\n all_playthroughs = []\n for old_state_name in playthrough_ids_by_state_name:\n new_state_name = exp_versions_diff.old_to_new_state_names[\n old_state_name]\n playthrough_ids = playthrough_ids_by_state_name[old_state_name]\n\n playthroughs = get_playthroughs_multi(playthrough_ids)\n for p_idx, playthrough in enumerate(playthroughs):\n if stats_models.ISSUE_TYPE_KEYNAME_MAPPING[\n playthrough.issue_type] == 'state_names':\n state_names = playthrough.issue_customization_args[\n 'state_names']['value']\n playthrough.issue_customization_args['state_names']['value'] = [\n new_state_name\n if state_name == old_state_name else state_name\n for state_name in state_names]\n else:\n playthrough.issue_customization_args['state_name']['value'] = (\n new_state_name)\n for a_idx, action in enumerate(playthrough.actions):\n if action.action_customization_args['state_name']['value'] == (\n old_state_name):\n playthroughs[p_idx].actions[\n a_idx].action_customization_args['state_name'][\n 'value'] = new_state_name\n\n all_playthrough_ids.extend(playthrough_ids)\n all_playthroughs.extend(playthroughs)\n\n update_playthroughs_multi(all_playthrough_ids, all_playthroughs)\n\n exp_issues.exp_version += 1\n\n create_exp_issues_model(exp_issues)\n\n\ndef get_exp_issues(exp_id, exp_version):\n \"\"\"Retrieves the ExplorationIssues domain object.\n\n Args:\n exp_id: str. ID of the exploration.\n exp_version: int. Version of the exploration.\n\n Returns:\n ExplorationIssues|None: The domain object for exploration issues or\n None if the exp_id is invalid.\n \"\"\"\n exp_issues = None\n exp_issues_model = stats_models.ExplorationIssuesModel.get_model(\n exp_id, exp_version)\n if exp_issues_model is not None:\n exp_issues = get_exp_issues_from_model(exp_issues_model)\n return exp_issues\n\n\ndef get_playthrough_by_id(playthrough_id):\n \"\"\"Retrieves the Playthrough domain object.\n\n Args:\n playthrough_id: str. ID of the playthrough.\n\n Returns:\n Playthrough|None: The domain object for the playthrough or None if the\n playthrough_id is invalid.\n \"\"\"\n playthrough = None\n playthrough_model = stats_models.PlaythroughModel.get(\n playthrough_id, strict=False)\n if playthrough_model is not None:\n playthrough = get_playthrough_from_model(playthrough_model)\n return playthrough\n\n\ndef get_playthroughs_multi(playthrough_ids):\n \"\"\"Retrieves multiple Playthrough domain objects.\n\n Args:\n playthrough_ids: list(str). List of playthrough IDs.\n\n Returns:\n list(Playthrough). List of playthrough domain objects.\n \"\"\"\n playthrough_instances = stats_models.PlaythroughModel.get_multi(\n playthrough_ids)\n playthroughs = [\n get_playthrough_from_model(playthrough_instance)\n for playthrough_instance in playthrough_instances]\n return playthroughs\n\n\ndef update_playthroughs_multi(playthrough_ids, playthroughs):\n \"\"\"Updates the playthrough instances.\n\n Args:\n playthrough_ids: list(str). List of playthrough IDs.\n playthroughs: list(Playthrough). List of playthrough domain objects.\n \"\"\"\n playthrough_instances = stats_models.PlaythroughModel.get_multi(\n playthrough_ids)\n updated_instances = []\n for idx, playthrough_instance in enumerate(playthrough_instances):\n playthrough_dict = playthroughs[idx].to_dict()\n playthrough_instance.issue_type = playthrough_dict['issue_type']\n playthrough_instance.issue_customization_args = (\n playthrough_dict['issue_customization_args'])\n playthrough_instance.actions = playthrough_dict['actions']\n updated_instances.append(playthrough_instance)\n stats_models.PlaythroughModel.put_multi(updated_instances)\n\n\ndef get_exploration_stats_by_id(exp_id, exp_version):\n \"\"\"Retrieves the ExplorationStats domain object.\n\n Args:\n exp_id: str. ID of the exploration.\n exp_version: int. Version of the exploration.\n\n Returns:\n ExplorationStats. The domain object for exploration statistics.\n\n Raises:\n Exception: Entity for class ExplorationStatsModel with id not found.\n \"\"\"\n exploration_stats = None\n exploration_stats_model = stats_models.ExplorationStatsModel.get_model(\n exp_id, exp_version)\n if exploration_stats_model is not None:\n exploration_stats = get_exploration_stats_from_model(\n exploration_stats_model)\n return exploration_stats\n\n\ndef get_multiple_exploration_stats_by_version(exp_id, version_numbers):\n \"\"\"Returns a list of ExplorationStats domain objects corresponding to the\n specified versions.\n\n Args:\n exp_id: str. ID of the exploration.\n version_numbers: list(int). List of version numbers.\n\n Returns:\n list(ExplorationStats|None). List of ExplorationStats domain class\n instances.\n \"\"\"\n exploration_stats = []\n exploration_stats_models = (\n stats_models.ExplorationStatsModel.get_multi_versions(\n exp_id, version_numbers))\n for exploration_stats_model in exploration_stats_models:\n if exploration_stats_model is None:\n exploration_stats.append(None)\n else:\n exploration_stats.append(get_exploration_stats_from_model(\n exploration_stats_model))\n return exploration_stats\n\n\ndef get_exp_issues_from_model(exp_issues_model):\n \"\"\"Gets an ExplorationIssues domain object from an ExplorationIssuesModel\n instance.\n\n Args:\n exp_issues_model: ExplorationIssuesModel. Exploration issues model in\n datastore.\n\n Returns:\n ExplorationIssues. The domain object for exploration issues.\n \"\"\"\n unresolved_issues = []\n for unresolved_issue_dict in exp_issues_model.unresolved_issues:\n _migrate_to_latest_issue_schema(copy.deepcopy(unresolved_issue_dict))\n unresolved_issues.append(\n stats_domain.ExplorationIssue.from_dict(unresolved_issue_dict))\n return stats_domain.ExplorationIssues(\n exp_issues_model.exp_id, exp_issues_model.exp_version,\n unresolved_issues)\n\n\ndef get_exploration_stats_from_model(exploration_stats_model):\n \"\"\"Gets an ExplorationStats domain object from an ExplorationStatsModel\n instance.\n\n Args:\n exploration_stats_model: ExplorationStatsModel. Exploration statistics\n model in datastore.\n\n Returns:\n ExplorationStats. The domain object for exploration statistics.\n \"\"\"\n new_state_stats_mapping = {\n state_name: stats_domain.StateStats.from_dict(\n exploration_stats_model.state_stats_mapping[state_name])\n for state_name in exploration_stats_model.state_stats_mapping\n }\n return stats_domain.ExplorationStats(\n exploration_stats_model.exp_id,\n exploration_stats_model.exp_version,\n exploration_stats_model.num_starts_v1,\n exploration_stats_model.num_starts_v2,\n exploration_stats_model.num_actual_starts_v1,\n exploration_stats_model.num_actual_starts_v2,\n exploration_stats_model.num_completions_v1,\n exploration_stats_model.num_completions_v2,\n new_state_stats_mapping)\n\n\ndef get_playthrough_from_model(playthrough_model):\n \"\"\"Gets a PlaythroughModel domain object from a PlaythroughModel instance.\n\n Args:\n playthrough_model: PlaythroughModel. Playthrough model in datastore.\n\n Returns:\n Playthrough. The domain object for a playthrough.\n \"\"\"\n actions = []\n for action_dict in playthrough_model.actions:\n _migrate_to_latest_action_schema(action_dict)\n actions.append(stats_domain.LearnerAction.from_dict(action_dict))\n return stats_domain.Playthrough(\n playthrough_model.exp_id, playthrough_model.exp_version,\n playthrough_model.issue_type,\n playthrough_model.issue_customization_args, actions)\n\n\ndef create_stats_model(exploration_stats):\n \"\"\"Creates an ExplorationStatsModel in datastore given an ExplorationStats\n domain object.\n\n Args:\n exploration_stats: ExplorationStats. The domain object for exploration\n statistics.\n\n Returns:\n str. ID of the datastore instance for ExplorationStatsModel.\n \"\"\"\n new_state_stats_mapping = {\n state_name: exploration_stats.state_stats_mapping[state_name].to_dict()\n for state_name in exploration_stats.state_stats_mapping\n }\n instance_id = stats_models.ExplorationStatsModel.create(\n exploration_stats.exp_id,\n exploration_stats.exp_version,\n exploration_stats.num_starts_v1,\n exploration_stats.num_starts_v2,\n exploration_stats.num_actual_starts_v1,\n exploration_stats.num_actual_starts_v2,\n exploration_stats.num_completions_v1,\n exploration_stats.num_completions_v2,\n new_state_stats_mapping\n )\n return instance_id\n\n\ndef _save_stats_model(exploration_stats):\n \"\"\"Updates the ExplorationStatsModel datastore instance with the passed\n ExplorationStats domain object.\n\n Args:\n exploration_stats. ExplorationStats. The exploration statistics domain\n object.\n \"\"\"\n new_state_stats_mapping = {\n state_name: exploration_stats.state_stats_mapping[state_name].to_dict()\n for state_name in exploration_stats.state_stats_mapping\n }\n\n exploration_stats_model = stats_models.ExplorationStatsModel.get_model(\n exploration_stats.exp_id, exploration_stats.exp_version)\n\n exploration_stats_model.num_starts_v1 = exploration_stats.num_starts_v1\n exploration_stats_model.num_starts_v2 = exploration_stats.num_starts_v2\n exploration_stats_model.num_actual_starts_v1 = (\n exploration_stats.num_actual_starts_v1)\n exploration_stats_model.num_actual_starts_v2 = (\n exploration_stats.num_actual_starts_v2)\n exploration_stats_model.num_completions_v1 = (\n exploration_stats.num_completions_v1)\n exploration_stats_model.num_completions_v2 = (\n exploration_stats.num_completions_v2)\n exploration_stats_model.state_stats_mapping = new_state_stats_mapping\n\n exploration_stats_model.put()\n\n\ndef save_stats_model_transactional(exploration_stats):\n \"\"\"Updates the ExplorationStatsModel datastore instance with the passed\n ExplorationStats domain object in a transaction.\n\n Args:\n exploration_stats. ExplorationStats. The exploration statistics domain\n object.\n \"\"\"\n transaction_services.run_in_transaction(\n _save_stats_model, exploration_stats)\n\n\ndef create_exp_issues_model(exp_issues):\n \"\"\"Creates a new ExplorationIssuesModel in the datastore.\n\n Args:\n exp_issues: ExplorationIssues. The exploration issues domain object.\n \"\"\"\n unresolved_issues_dicts = [\n unresolved_issue.to_dict()\n for unresolved_issue in exp_issues.unresolved_issues]\n stats_models.ExplorationIssuesModel.create(\n exp_issues.exp_id, exp_issues.exp_version, unresolved_issues_dicts)\n\n\ndef _save_exp_issues_model(exp_issues):\n \"\"\"Updates the ExplorationIssuesModel datastore instance with the passed\n ExplorationIssues domain object.\n\n Args:\n exp_issues: ExplorationIssues. The exploration issues domain\n object.\n \"\"\"\n unresolved_issues_dicts = [\n unresolved_issue.to_dict()\n for unresolved_issue in exp_issues.unresolved_issues]\n exp_issues_model = stats_models.ExplorationIssuesModel.get_model(\n exp_issues.exp_id, exp_issues.exp_version)\n exp_issues_model.exp_version = exp_issues.exp_version\n exp_issues_model.unresolved_issues = unresolved_issues_dicts\n\n exp_issues_model.put()\n\n\ndef save_exp_issues_model_transactional(exp_issues):\n \"\"\"Updates the ExplorationIssuesModel datastore instance with the passed\n ExplorationIssues domain object in a transaction.\n\n Args:\n exp_issues: ExplorationIssues. The exploration issues domain\n object.\n \"\"\"\n transaction_services.run_in_transaction(\n _save_exp_issues_model, exp_issues)\n\n\ndef get_exploration_stats_multi(exp_version_references):\n \"\"\"Retrieves the exploration stats for the given explorations.\n\n Args:\n exp_version_references: list(ExpVersionReference). List of exploration\n version reference domain objects.\n\n Returns:\n list(ExplorationStats). The list of exploration stats domain objects.\n \"\"\"\n exploration_stats_models = (\n stats_models.ExplorationStatsModel.get_multi_stats_models(\n exp_version_references))\n\n exploration_stats_list = []\n for index, exploration_stats_model in enumerate(exploration_stats_models):\n if exploration_stats_model is None:\n exploration_stats_list.append(\n stats_domain.ExplorationStats.create_default(\n exp_version_references[index].exp_id,\n exp_version_references[index].version,\n {}))\n else:\n exploration_stats_list.append(\n get_exploration_stats_from_model(exploration_stats_model))\n\n return exploration_stats_list\n\n\ndef delete_playthroughs_multi(playthrough_ids):\n \"\"\"Deletes multiple playthrough instances.\n\n Args:\n playthrough_ids: list(str). List of playthrough IDs to be deleted.\n \"\"\"\n stats_models.PlaythroughModel.delete_playthroughs_multi(playthrough_ids)\n\n\ndef get_visualizations_info(exp_id, state_name, interaction_id):\n \"\"\"Returns a list of visualization info. Each item in the list is a dict\n with keys 'data' and 'options'.\n\n Args:\n exp_id: str. The ID of the exploration.\n state_name: str. Name of the state.\n interaction_id: str. The interaction type.\n\n Returns:\n list(dict). Each item in the list is a dict with keys representing\n - 'id': str. The visualization ID.\n - 'data': list(dict). A list of answer/frequency dicts.\n - 'options': dict. The visualization options.\n\n An example of the returned value may be:\n [{'options': {'y_axis_label': 'Count', 'x_axis_label': 'Answer'},\n 'id': 'BarChart',\n 'data': [{u'frequency': 1, u'answer': 0}]}]\n \"\"\"\n if interaction_id is None:\n return []\n\n visualizations = interaction_registry.Registry.get_interaction_by_id(\n interaction_id).answer_visualizations\n\n calculation_ids = set([\n visualization.calculation_id for visualization in visualizations])\n\n calculation_ids_to_outputs = {}\n for calculation_id in calculation_ids:\n # Don't show top unresolved answers calculation ouutput in stats of\n # exploration.\n if calculation_id == 'TopNUnresolvedAnswersByFrequency':\n continue\n\n # This is None if the calculation job has not yet been run for this\n # state.\n calc_output_domain_object = _get_calc_output(\n exp_id, state_name, calculation_id)\n\n # If the calculation job has not yet been run for this state, we simply\n # exclude the corresponding visualization results.\n if calc_output_domain_object is None:\n continue\n\n # If the output was associated with a different interaction ID, skip the\n # results. This filtering step is needed since the same calculation_id\n # can be shared across multiple interaction types.\n if calc_output_domain_object.interaction_id != interaction_id:\n continue\n\n calculation_ids_to_outputs[calculation_id] = (\n calc_output_domain_object.calculation_output.to_raw_type())\n return [{\n 'id': visualization.id,\n 'data': calculation_ids_to_outputs[visualization.calculation_id],\n 'options': visualization.options,\n 'addressed_info_is_supported': (\n visualization.addressed_info_is_supported),\n } for visualization in visualizations\n if visualization.calculation_id in calculation_ids_to_outputs]\n\n\ndef record_answer(\n exploration_id, exploration_version, state_name, interaction_id,\n submitted_answer):\n \"\"\"Record an answer by storing it to the corresponding StateAnswers entity.\n\n Args:\n exploration_id: str. The exploration ID.\n exploration_version: int. The version of the exploration.\n state_name: str. The name of the state.\n interaction_id: str. The ID of the interaction.\n submitted_answer: SubmittedAnswer. The submitted answer.\n \"\"\"\n record_answers(\n exploration_id, exploration_version, state_name, interaction_id,\n [submitted_answer])\n\n\ndef record_answers(\n exploration_id, exploration_version, state_name, interaction_id,\n submitted_answer_list):\n \"\"\"Optimally record a group of answers using an already loaded exploration..\n The submitted_answer_list is a list of SubmittedAnswer domain objects.\n\n Args:\n exploration_id: str. The exploration ID.\n exploration_version: int. The version of the exploration.\n state_name: str. The name of the state.\n interaction_id: str. The ID of the interaction.\n submitted_answer_list: list(SubmittedAnswer). The list of answers to be\n recorded.\n \"\"\"\n state_answers = stats_domain.StateAnswers(\n exploration_id, exploration_version, state_name, interaction_id,\n submitted_answer_list)\n for submitted_answer in submitted_answer_list:\n submitted_answer.validate()\n\n stats_models.StateAnswersModel.insert_submitted_answers(\n state_answers.exploration_id, state_answers.exploration_version,\n state_answers.state_name, state_answers.interaction_id,\n state_answers.get_submitted_answer_dict_list())\n\n\ndef get_state_answers(exploration_id, exploration_version, state_name):\n \"\"\"Returns a StateAnswers object containing all answers associated with the\n specified exploration state, or None if no such answers have yet been\n submitted.\n\n Args:\n exploration_id: str. The exploration ID.\n exploration_version: int. The version of the exploration to fetch\n answers for.\n state_name: str. The name of the state to fetch answers for.\n\n Returns:\n StateAnswers or None. A StateAnswers object containing all answers\n associated with the state, or None if no such answers exist.\n \"\"\"\n state_answers_models = stats_models.StateAnswersModel.get_all_models(\n exploration_id, exploration_version, state_name)\n if state_answers_models:\n main_state_answers_model = state_answers_models[0]\n submitted_answer_dict_list = itertools.chain.from_iterable([\n state_answers_model.submitted_answer_list\n for state_answers_model in state_answers_models])\n return stats_domain.StateAnswers(\n exploration_id, exploration_version, state_name,\n main_state_answers_model.interaction_id,\n [stats_domain.SubmittedAnswer.from_dict(submitted_answer_dict)\n for submitted_answer_dict in submitted_answer_dict_list],\n schema_version=main_state_answers_model.schema_version)\n else:\n return None\n\n\ndef get_sample_answers(exploration_id, exploration_version, state_name):\n \"\"\"Fetches a list of sample answers that were submitted to the specified\n exploration state (at the given version of the exploration).\n\n Args:\n exploration_id: str. The exploration ID.\n exploration_version: int. The version of the exploration to fetch\n answers for.\n state_name: str. The name of the state to fetch answers for.\n\n Returns:\n list(*). A list of some sample raw answers. At most 100 answers are\n returned.\n \"\"\"\n answers_model = stats_models.StateAnswersModel.get_master_model(\n exploration_id, exploration_version, state_name)\n if answers_model is None:\n return []\n\n # Return at most 100 answers, and only answers from the initial shard (If\n # we needed to use subsequent shards then the answers are probably too big\n # anyway).\n sample_answers = answers_model.submitted_answer_list[:100]\n return [\n stats_domain.SubmittedAnswer.from_dict(submitted_answer_dict).answer\n for submitted_answer_dict in sample_answers]\n\n\ndef get_top_state_answer_stats(exploration_id, state_name):\n \"\"\"Fetches the top (at most) 10 answers from the given state_name in the\n corresponding exploration. Only answers that occur with frequency >=\n STATE_ANSWER_STATS_MIN_FREQUENCY are returned.\n\n Args:\n exploration_id: str. The exploration ID.\n state_name: str. The name of the state to fetch answers for.\n\n Returns:\n list(*). A list of the top 10 answers, sorted by decreasing frequency.\n \"\"\"\n calc_output = (\n _get_calc_output(exploration_id, state_name, 'Top10AnswerFrequencies'))\n raw_calc_output = (\n [] if calc_output is None else\n calc_output.calculation_output.to_raw_type())\n return [\n {'answer': output['answer'], 'frequency': output['frequency']}\n for output in raw_calc_output\n if output['frequency'] >= feconf.STATE_ANSWER_STATS_MIN_FREQUENCY\n ]\n\n\ndef get_top_state_unresolved_answers(exploration_id, state_name):\n \"\"\"Fetches the top unresolved answers for the given state_name in the\n corresponding exploration. Only answers that occur with frequency >=\n STATE_ANSWER_STATS_MIN_FREQUENCY are returned.\n\n Args:\n exploration_id: str. The exploration ID.\n state_name: str. The name of the state to fetch answers for.\n\n Returns:\n list(*). A list of the top 10 answers, sorted by decreasing frequency.\n \"\"\"\n calc_output_model = _get_calc_output(\n exploration_id, state_name, 'TopNUnresolvedAnswersByFrequency')\n\n if not calc_output_model:\n return []\n\n calculation_output = calc_output_model.calculation_output.to_raw_type()\n return [\n {'answer': output['answer'], 'frequency': output['frequency']}\n for output in calculation_output\n if output['frequency'] >= feconf.STATE_ANSWER_STATS_MIN_FREQUENCY\n ]\n\n\ndef get_top_state_answer_stats_multi(exploration_id, state_names):\n \"\"\"Fetches the top (at most) 10 answers from each given state_name in the\n corresponding exploration. Only answers that occur with frequency >=\n STATE_ANSWER_STATS_MIN_FREQUENCY are returned.\n\n Args:\n exploration_id: str. The exploration ID.\n state_names: list(str). The name of the state to fetch answers for.\n\n Returns:\n dict(str: list(*)). Dict mapping each state name to the list of its top\n (at most) 10 answers, sorted by decreasing frequency.\n \"\"\"\n return {\n state_name: get_top_state_answer_stats(exploration_id, state_name)\n for state_name in state_names\n }\n\n\ndef _get_calc_output(exploration_id, state_name, calculation_id):\n \"\"\"Get state answers calculation output domain object obtained from\n StateAnswersCalcOutputModel instance stored in the data store. The\n calculation ID comes from the name of the calculation class used to compute\n aggregate data from submitted user answers. This returns aggregated output\n for all versions of the specified state and exploration.\n\n Args:\n exploration_id: str. ID of the exploration.\n state_name: str. Name of the state.\n calculation_id: str. Name of the calculation class.\n\n Returns:\n StateAnswersCalcOutput|None. The state answers calculation output\n domain object or None.\n \"\"\"\n calc_output_model = stats_models.StateAnswersCalcOutputModel.get_model(\n exploration_id, VERSION_ALL, state_name, calculation_id)\n if calc_output_model:\n calculation_output = None\n if (calc_output_model.calculation_output_type ==\n stats_domain.CALC_OUTPUT_TYPE_ANSWER_FREQUENCY_LIST):\n calculation_output = (\n stats_domain.AnswerFrequencyList.from_raw_type(\n calc_output_model.calculation_output))\n elif (calc_output_model.calculation_output_type ==\n stats_domain.CALC_OUTPUT_TYPE_CATEGORIZED_ANSWER_FREQUENCY_LISTS):\n calculation_output = (\n stats_domain.CategorizedAnswerFrequencyLists.from_raw_type(\n calc_output_model.calculation_output))\n return stats_domain.StateAnswersCalcOutput(\n exploration_id, VERSION_ALL, state_name,\n calc_output_model.interaction_id, calculation_id,\n calculation_output)\n else:\n return None\n","path":"core/domain/stats_services.py"}],"string":"[\n {\n \"content\": \"# coding: utf-8\\n#\\n# Copyright 2014 The Oppia Authors. All Rights Reserved.\\n#\\n# Licensed under the Apache License, Version 2.0 (the \\\"License\\\");\\n# you may not use this file except in compliance with the License.\\n# You may obtain a copy of the License at\\n#\\n# http://www.apache.org/licenses/LICENSE-2.0\\n#\\n# Unless required by applicable law or agreed to in writing, software\\n# distributed under the License is distributed on an \\\"AS-IS\\\" BASIS,\\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\\n# See the License for the specific language governing permissions and\\n# limitations under the License.\\n\\n\\\"\\\"\\\"Services for exploration-related statistics.\\\"\\\"\\\"\\n\\nimport collections\\nimport copy\\nimport itertools\\n\\nfrom core.domain import interaction_registry\\nfrom core.domain import stats_domain\\nfrom core.platform import models\\nimport feconf\\n\\n(stats_models,) = models.Registry.import_models([models.NAMES.statistics])\\ntransaction_services = models.Registry.import_transaction_services()\\n\\n\\n# Counts contributions from all versions.\\nVERSION_ALL = 'all'\\n\\n\\ndef _migrate_to_latest_issue_schema(exp_issue_dict):\\n \\\"\\\"\\\"Holds the responsibility of performing a step-by-step sequential update\\n of an exploration issue dict based on its schema version. If the current\\n issue schema version changes (stats_models.CURRENT_ISSUE_SCHEMA_VERSION), a\\n new conversion function must be added and some code appended to this\\n function to account for that new version.\\n\\n Args:\\n exp_issue_dict: dict. Dict representing the exploration issue.\\n\\n Raises:\\n Exception. The issue_schema_version is invalid.\\n \\\"\\\"\\\"\\n issue_schema_version = exp_issue_dict['schema_version']\\n if issue_schema_version is None or issue_schema_version < 1:\\n issue_schema_version = 0\\n\\n if not (0 <= issue_schema_version\\n <= stats_models.CURRENT_ISSUE_SCHEMA_VERSION):\\n raise Exception(\\n 'Sorry, we can only process v1-v%d and unversioned issue schemas at'\\n 'present.' %\\n stats_models.CURRENT_ISSUE_SCHEMA_VERSION)\\n\\n while issue_schema_version < stats_models.CURRENT_ISSUE_SCHEMA_VERSION:\\n stats_domain.ExplorationIssue.update_exp_issue_from_model(\\n exp_issue_dict)\\n issue_schema_version += 1\\n\\n\\ndef _migrate_to_latest_action_schema(learner_action_dict):\\n \\\"\\\"\\\"Holds the responsibility of performing a step-by-step sequential update\\n of an learner action dict based on its schema version. If the current action\\n schema version changes (stats_models.CURRENT_ACTION_SCHEMA_VERSION), a new\\n conversion function must be added and some code appended to this function to\\n account for that new version.\\n\\n Args:\\n learner_action_dict: dict. Dict representing the learner action.\\n\\n Raises:\\n Exception. The action_schema_version is invalid.\\n \\\"\\\"\\\"\\n action_schema_version = learner_action_dict['schema_version']\\n if action_schema_version is None or action_schema_version < 1:\\n action_schema_version = 0\\n\\n if not (0 <= action_schema_version\\n <= stats_models.CURRENT_ACTION_SCHEMA_VERSION):\\n raise Exception(\\n 'Sorry, we can only process v1-v%d and unversioned action schemas '\\n 'at present.' %\\n stats_models.CURRENT_ACTION_SCHEMA_VERSION)\\n\\n while action_schema_version < stats_models.CURRENT_ACTION_SCHEMA_VERSION:\\n stats_domain.LearnerAction.update_learner_action_from_model(\\n learner_action_dict)\\n action_schema_version += 1\\n\\n\\ndef get_exploration_stats(exp_id, exp_version):\\n \\\"\\\"\\\"Retrieves the ExplorationStats domain instance.\\n\\n Args:\\n exp_id: str. ID of the exploration.\\n exp_version: int. Version of the exploration.\\n\\n Returns:\\n ExplorationStats. The exploration stats domain object.\\n \\\"\\\"\\\"\\n exploration_stats = get_exploration_stats_by_id(exp_id, exp_version)\\n if exploration_stats is None:\\n exploration_stats = stats_domain.ExplorationStats.create_default(\\n exp_id, exp_version, {})\\n\\n return exploration_stats\\n\\n\\ndef update_stats(exp_id, exp_version, aggregated_stats):\\n \\\"\\\"\\\"Updates ExplorationStatsModel according to the dict containing aggregated\\n stats.\\n\\n Args:\\n exp_id: str. ID of the exploration.\\n exp_version: int. Version of the exploration.\\n aggregated_stats: dict. Dict representing an ExplorationStatsModel\\n instance with stats aggregated in the frontend.\\n \\\"\\\"\\\"\\n exploration_stats = get_exploration_stats_by_id(\\n exp_id, exp_version)\\n\\n exploration_stats.num_starts_v2 += aggregated_stats['num_starts']\\n exploration_stats.num_completions_v2 += aggregated_stats['num_completions']\\n exploration_stats.num_actual_starts_v2 += aggregated_stats[\\n 'num_actual_starts']\\n\\n for state_name in aggregated_stats['state_stats_mapping']:\\n exploration_stats.state_stats_mapping[\\n state_name].total_answers_count_v2 += aggregated_stats[\\n 'state_stats_mapping'][state_name]['total_answers_count']\\n exploration_stats.state_stats_mapping[\\n state_name].useful_feedback_count_v2 += aggregated_stats[\\n 'state_stats_mapping'][state_name]['useful_feedback_count']\\n exploration_stats.state_stats_mapping[\\n state_name].total_hit_count_v2 += aggregated_stats[\\n 'state_stats_mapping'][state_name]['total_hit_count']\\n exploration_stats.state_stats_mapping[\\n state_name].first_hit_count_v2 += aggregated_stats[\\n 'state_stats_mapping'][state_name]['first_hit_count']\\n exploration_stats.state_stats_mapping[\\n state_name].num_times_solution_viewed_v2 += aggregated_stats[\\n 'state_stats_mapping'][state_name]['num_times_solution_viewed']\\n exploration_stats.state_stats_mapping[\\n state_name].num_completions_v2 += aggregated_stats[\\n 'state_stats_mapping'][state_name]['num_completions']\\n\\n save_stats_model_transactional(exploration_stats)\\n\\n\\ndef handle_stats_creation_for_new_exploration(exp_id, exp_version, state_names):\\n \\\"\\\"\\\"Creates ExplorationStatsModel for the freshly created exploration and\\n sets all initial values to zero.\\n\\n Args:\\n exp_id: str. ID of the exploration.\\n exp_version: int. Version of the exploration.\\n state_names: list(str). State names of the exploration.\\n \\\"\\\"\\\"\\n state_stats_mapping = {\\n state_name: stats_domain.StateStats.create_default()\\n for state_name in state_names\\n }\\n\\n exploration_stats = stats_domain.ExplorationStats.create_default(\\n exp_id, exp_version, state_stats_mapping)\\n create_stats_model(exploration_stats)\\n\\n\\ndef handle_stats_creation_for_new_exp_version(\\n exp_id, exp_version, state_names, exp_versions_diff, revert_to_version):\\n \\\"\\\"\\\"Retrieves the ExplorationStatsModel for the old exp_version and makes\\n any required changes to the structure of the model. Then, a new\\n ExplorationStatsModel is created for the new exp_version.\\n\\n Args:\\n exp_id: str. ID of the exploration.\\n exp_version: int. Version of the exploration.\\n state_names: list(str). State names of the exploration.\\n exp_versions_diff: ExplorationVersionsDiff|None. The domain object for\\n the exploration versions difference, None if it is a revert.\\n revert_to_version: int|None. If the change is a revert, the version.\\n Otherwise, None.\\n \\\"\\\"\\\"\\n old_exp_version = exp_version - 1\\n new_exp_version = exp_version\\n exploration_stats = get_exploration_stats_by_id(\\n exp_id, old_exp_version)\\n if exploration_stats is None:\\n handle_stats_creation_for_new_exploration(\\n exp_id, new_exp_version, state_names)\\n return\\n\\n # Handling reverts.\\n if revert_to_version:\\n old_exp_stats = get_exploration_stats_by_id(exp_id, revert_to_version)\\n # If the old exploration issues model doesn't exist, the current model\\n # is carried over (this is a fallback case for some tests, and can\\n # never happen in production.)\\n if old_exp_stats:\\n exploration_stats.num_starts_v2 = old_exp_stats.num_starts_v2\\n exploration_stats.num_actual_starts_v2 = (\\n old_exp_stats.num_actual_starts_v2)\\n exploration_stats.num_completions_v2 = (\\n old_exp_stats.num_completions_v2)\\n exploration_stats.state_stats_mapping = (\\n old_exp_stats.state_stats_mapping)\\n exploration_stats.exp_version = new_exp_version\\n create_stats_model(exploration_stats)\\n return\\n\\n # Handling state deletions.\\n for state_name in exp_versions_diff.deleted_state_names:\\n exploration_stats.state_stats_mapping.pop(state_name)\\n\\n # Handling state additions.\\n for state_name in exp_versions_diff.added_state_names:\\n exploration_stats.state_stats_mapping[state_name] = (\\n stats_domain.StateStats.create_default())\\n\\n # Handling state renames.\\n for new_state_name in exp_versions_diff.new_to_old_state_names:\\n exploration_stats.state_stats_mapping[new_state_name] = (\\n exploration_stats.state_stats_mapping.pop(\\n exp_versions_diff.new_to_old_state_names[new_state_name]))\\n\\n exploration_stats.exp_version = new_exp_version\\n\\n # Create new statistics model.\\n create_stats_model(exploration_stats)\\n\\n\\ndef create_exp_issues_for_new_exploration(exp_id, exp_version):\\n \\\"\\\"\\\"Creates the ExplorationIssuesModel instance for the exploration.\\n\\n Args:\\n exp_id: str. ID of the exploration.\\n exp_version: int. Version of the exploration.\\n \\\"\\\"\\\"\\n stats_models.ExplorationIssuesModel.create(exp_id, exp_version, [])\\n\\n\\ndef _handle_exp_issues_after_state_deletion(\\n state_name, exp_issue, deleted_state_names):\\n \\\"\\\"\\\"Checks if the exploration issue's concerned state is a deleted state and\\n invalidates the exploration issue accoridngly.\\n\\n Args:\\n state_name: str. The issue's concerened state name.\\n exp_issue: ExplorationIssue. The exploration issue domain object.\\n deleted_state_names: list(str). The list of deleted state names in this\\n commit.\\n\\n Returns:\\n ExplorationIssue. The exploration issue domain object.\\n \\\"\\\"\\\"\\n if state_name in deleted_state_names:\\n exp_issue.is_valid = False\\n return exp_issue\\n\\n\\ndef _handle_exp_issues_after_state_rename(\\n state_name, exp_issue, old_to_new_state_names,\\n playthrough_ids_by_state_name):\\n \\\"\\\"\\\"Checks if the exploration issue's concerned state is a renamed state and\\n modifies the exploration issue accoridngly.\\n\\n Args:\\n state_name: str. The issue's concerened state name.\\n exp_issue: ExplorationIssue. The exploration issue domain object.\\n old_to_new_state_names: dict. The dict mapping state names to their\\n renamed versions. This mapping contains state names only if it is\\n actually renamed.\\n playthrough_ids_by_state_name: dict. The dict mapping old state names to\\n their new ones\\n\\n Returns:\\n ExplorationIssue. The exploration issue domain object.\\n \\\"\\\"\\\"\\n if state_name not in old_to_new_state_names:\\n return exp_issue, playthrough_ids_by_state_name\\n\\n old_state_name = state_name\\n new_state_name = old_to_new_state_names[old_state_name]\\n if stats_models.ISSUE_TYPE_KEYNAME_MAPPING[\\n exp_issue.issue_type] == 'state_names':\\n state_names = exp_issue.issue_customization_args['state_names'][\\n 'value']\\n exp_issue.issue_customization_args['state_names']['value'] = [\\n new_state_name\\n if state_name == old_state_name else state_name\\n for state_name in state_names]\\n else:\\n exp_issue.issue_customization_args['state_name']['value'] = (\\n new_state_name)\\n\\n playthrough_ids_by_state_name[old_state_name].extend(\\n exp_issue.playthrough_ids)\\n\\n return exp_issue, playthrough_ids_by_state_name\\n\\n\\ndef update_exp_issues_for_new_exp_version(\\n exploration, exp_versions_diff, revert_to_version):\\n \\\"\\\"\\\"Retrieves the ExplorationIssuesModel for the old exp_version and makes\\n any required changes to the structure of the model.\\n\\n Args:\\n exploration: Exploration. Domain object for the exploration.\\n exp_versions_diff: ExplorationVersionsDiff|None. The domain object for\\n the exploration versions difference, None if it is a revert.\\n revert_to_version: int|None. If the change is a revert, the version.\\n Otherwise, None.\\n \\\"\\\"\\\"\\n exp_issues = get_exp_issues(exploration.id, exploration.version - 1)\\n if exp_issues is None:\\n create_exp_issues_for_new_exploration(\\n exploration.id, exploration.version - 1)\\n return\\n\\n # Handling reverts.\\n if revert_to_version:\\n old_exp_issues = get_exp_issues(exploration.id, revert_to_version)\\n # If the old exploration issues model doesn't exist, the current model\\n # is carried over (this is a fallback case for some tests, and can\\n # never happen in production.)\\n if old_exp_issues:\\n exp_issues.unresolved_issues = old_exp_issues.unresolved_issues\\n exp_issues.exp_version = exploration.version + 1\\n create_exp_issues_model(exp_issues)\\n return\\n\\n playthrough_ids_by_state_name = collections.defaultdict(list)\\n\\n for i_idx, exp_issue in enumerate(exp_issues.unresolved_issues):\\n keyname = stats_models.ISSUE_TYPE_KEYNAME_MAPPING[exp_issue.issue_type]\\n if keyname == 'state_names':\\n state_names = exp_issue.issue_customization_args[keyname]['value']\\n for state_name in state_names:\\n # Handle exp issues changes for deleted states.\\n exp_issues.unresolved_issues[i_idx] = (\\n _handle_exp_issues_after_state_deletion(\\n state_name, exp_issue,\\n exp_versions_diff.deleted_state_names))\\n\\n # Handle exp issues changes for renamed states.\\n exp_issues.unresolved_issues[\\n i_idx], playthrough_ids_by_state_name = (\\n _handle_exp_issues_after_state_rename(\\n state_name, exp_issue,\\n exp_versions_diff.old_to_new_state_names,\\n playthrough_ids_by_state_name))\\n else:\\n state_name = exp_issue.issue_customization_args[keyname]['value']\\n\\n # Handle exp issues changes for deleted states.\\n exp_issues.unresolved_issues[i_idx] = (\\n _handle_exp_issues_after_state_deletion(\\n state_name, exp_issue,\\n exp_versions_diff.deleted_state_names))\\n\\n # Handle exp issues changes for renamed states.\\n exp_issues.unresolved_issues[\\n i_idx], playthrough_ids_by_state_name = (\\n _handle_exp_issues_after_state_rename(\\n state_name, exp_issue,\\n exp_versions_diff.old_to_new_state_names,\\n playthrough_ids_by_state_name))\\n\\n # Handling changes to playthrough instances.\\n all_playthrough_ids = []\\n all_playthroughs = []\\n for old_state_name in playthrough_ids_by_state_name:\\n new_state_name = exp_versions_diff.old_to_new_state_names[\\n old_state_name]\\n playthrough_ids = playthrough_ids_by_state_name[old_state_name]\\n\\n playthroughs = get_playthroughs_multi(playthrough_ids)\\n for p_idx, playthrough in enumerate(playthroughs):\\n if stats_models.ISSUE_TYPE_KEYNAME_MAPPING[\\n playthrough.issue_type] == 'state_names':\\n state_names = playthrough.issue_customization_args[\\n 'state_names']['value']\\n playthrough.issue_customization_args['state_names']['value'] = [\\n new_state_name\\n if state_name == old_state_name else state_name\\n for state_name in state_names]\\n else:\\n playthrough.issue_customization_args['state_name']['value'] = (\\n new_state_name)\\n for a_idx, action in enumerate(playthrough.actions):\\n if action.action_customization_args['state_name']['value'] == (\\n old_state_name):\\n playthroughs[p_idx].actions[\\n a_idx].action_customization_args['state_name'][\\n 'value'] = new_state_name\\n\\n all_playthrough_ids.extend(playthrough_ids)\\n all_playthroughs.extend(playthroughs)\\n\\n update_playthroughs_multi(all_playthrough_ids, all_playthroughs)\\n\\n exp_issues.exp_version += 1\\n\\n create_exp_issues_model(exp_issues)\\n\\n\\ndef get_exp_issues(exp_id, exp_version):\\n \\\"\\\"\\\"Retrieves the ExplorationIssues domain object.\\n\\n Args:\\n exp_id: str. ID of the exploration.\\n exp_version: int. Version of the exploration.\\n\\n Returns:\\n ExplorationIssues|None: The domain object for exploration issues or\\n None if the exp_id is invalid.\\n \\\"\\\"\\\"\\n exp_issues = None\\n exp_issues_model = stats_models.ExplorationIssuesModel.get_model(\\n exp_id, exp_version)\\n if exp_issues_model is not None:\\n exp_issues = get_exp_issues_from_model(exp_issues_model)\\n return exp_issues\\n\\n\\ndef get_playthrough_by_id(playthrough_id):\\n \\\"\\\"\\\"Retrieves the Playthrough domain object.\\n\\n Args:\\n playthrough_id: str. ID of the playthrough.\\n\\n Returns:\\n Playthrough|None: The domain object for the playthrough or None if the\\n playthrough_id is invalid.\\n \\\"\\\"\\\"\\n playthrough = None\\n playthrough_model = stats_models.PlaythroughModel.get(\\n playthrough_id, strict=False)\\n if playthrough_model is not None:\\n playthrough = get_playthrough_from_model(playthrough_model)\\n return playthrough\\n\\n\\ndef get_playthroughs_multi(playthrough_ids):\\n \\\"\\\"\\\"Retrieves multiple Playthrough domain objects.\\n\\n Args:\\n playthrough_ids: list(str). List of playthrough IDs.\\n\\n Returns:\\n list(Playthrough). List of playthrough domain objects.\\n \\\"\\\"\\\"\\n playthrough_instances = stats_models.PlaythroughModel.get_multi(\\n playthrough_ids)\\n playthroughs = [\\n get_playthrough_from_model(playthrough_instance)\\n for playthrough_instance in playthrough_instances]\\n return playthroughs\\n\\n\\ndef update_playthroughs_multi(playthrough_ids, playthroughs):\\n \\\"\\\"\\\"Updates the playthrough instances.\\n\\n Args:\\n playthrough_ids: list(str). List of playthrough IDs.\\n playthroughs: list(Playthrough). List of playthrough domain objects.\\n \\\"\\\"\\\"\\n playthrough_instances = stats_models.PlaythroughModel.get_multi(\\n playthrough_ids)\\n updated_instances = []\\n for idx, playthrough_instance in enumerate(playthrough_instances):\\n playthrough_dict = playthroughs[idx].to_dict()\\n playthrough_instance.issue_type = playthrough_dict['issue_type']\\n playthrough_instance.issue_customization_args = (\\n playthrough_dict['issue_customization_args'])\\n playthrough_instance.actions = playthrough_dict['actions']\\n updated_instances.append(playthrough_instance)\\n stats_models.PlaythroughModel.put_multi(updated_instances)\\n\\n\\ndef get_exploration_stats_by_id(exp_id, exp_version):\\n \\\"\\\"\\\"Retrieves the ExplorationStats domain object.\\n\\n Args:\\n exp_id: str. ID of the exploration.\\n exp_version: int. Version of the exploration.\\n\\n Returns:\\n ExplorationStats. The domain object for exploration statistics.\\n\\n Raises:\\n Exception: Entity for class ExplorationStatsModel with id not found.\\n \\\"\\\"\\\"\\n exploration_stats = None\\n exploration_stats_model = stats_models.ExplorationStatsModel.get_model(\\n exp_id, exp_version)\\n if exploration_stats_model is not None:\\n exploration_stats = get_exploration_stats_from_model(\\n exploration_stats_model)\\n return exploration_stats\\n\\n\\ndef get_multiple_exploration_stats_by_version(exp_id, version_numbers):\\n \\\"\\\"\\\"Returns a list of ExplorationStats domain objects corresponding to the\\n specified versions.\\n\\n Args:\\n exp_id: str. ID of the exploration.\\n version_numbers: list(int). List of version numbers.\\n\\n Returns:\\n list(ExplorationStats|None). List of ExplorationStats domain class\\n instances.\\n \\\"\\\"\\\"\\n exploration_stats = []\\n exploration_stats_models = (\\n stats_models.ExplorationStatsModel.get_multi_versions(\\n exp_id, version_numbers))\\n for exploration_stats_model in exploration_stats_models:\\n if exploration_stats_model is None:\\n exploration_stats.append(None)\\n else:\\n exploration_stats.append(get_exploration_stats_from_model(\\n exploration_stats_model))\\n return exploration_stats\\n\\n\\ndef get_exp_issues_from_model(exp_issues_model):\\n \\\"\\\"\\\"Gets an ExplorationIssues domain object from an ExplorationIssuesModel\\n instance.\\n\\n Args:\\n exp_issues_model: ExplorationIssuesModel. Exploration issues model in\\n datastore.\\n\\n Returns:\\n ExplorationIssues. The domain object for exploration issues.\\n \\\"\\\"\\\"\\n unresolved_issues = []\\n for unresolved_issue_dict in exp_issues_model.unresolved_issues:\\n _migrate_to_latest_issue_schema(copy.deepcopy(unresolved_issue_dict))\\n unresolved_issues.append(\\n stats_domain.ExplorationIssue.from_dict(unresolved_issue_dict))\\n return stats_domain.ExplorationIssues(\\n exp_issues_model.exp_id, exp_issues_model.exp_version,\\n unresolved_issues)\\n\\n\\ndef get_exploration_stats_from_model(exploration_stats_model):\\n \\\"\\\"\\\"Gets an ExplorationStats domain object from an ExplorationStatsModel\\n instance.\\n\\n Args:\\n exploration_stats_model: ExplorationStatsModel. Exploration statistics\\n model in datastore.\\n\\n Returns:\\n ExplorationStats. The domain object for exploration statistics.\\n \\\"\\\"\\\"\\n new_state_stats_mapping = {\\n state_name: stats_domain.StateStats.from_dict(\\n exploration_stats_model.state_stats_mapping[state_name])\\n for state_name in exploration_stats_model.state_stats_mapping\\n }\\n return stats_domain.ExplorationStats(\\n exploration_stats_model.exp_id,\\n exploration_stats_model.exp_version,\\n exploration_stats_model.num_starts_v1,\\n exploration_stats_model.num_starts_v2,\\n exploration_stats_model.num_actual_starts_v1,\\n exploration_stats_model.num_actual_starts_v2,\\n exploration_stats_model.num_completions_v1,\\n exploration_stats_model.num_completions_v2,\\n new_state_stats_mapping)\\n\\n\\ndef get_playthrough_from_model(playthrough_model):\\n \\\"\\\"\\\"Gets a PlaythroughModel domain object from a PlaythroughModel instance.\\n\\n Args:\\n playthrough_model: PlaythroughModel. Playthrough model in datastore.\\n\\n Returns:\\n Playthrough. The domain object for a playthrough.\\n \\\"\\\"\\\"\\n actions = []\\n for action_dict in playthrough_model.actions:\\n _migrate_to_latest_action_schema(action_dict)\\n actions.append(stats_domain.LearnerAction.from_dict(action_dict))\\n return stats_domain.Playthrough(\\n playthrough_model.exp_id, playthrough_model.exp_version,\\n playthrough_model.issue_type,\\n playthrough_model.issue_customization_args, actions)\\n\\n\\ndef create_stats_model(exploration_stats):\\n \\\"\\\"\\\"Creates an ExplorationStatsModel in datastore given an ExplorationStats\\n domain object.\\n\\n Args:\\n exploration_stats: ExplorationStats. The domain object for exploration\\n statistics.\\n\\n Returns:\\n str. ID of the datastore instance for ExplorationStatsModel.\\n \\\"\\\"\\\"\\n new_state_stats_mapping = {\\n state_name: exploration_stats.state_stats_mapping[state_name].to_dict()\\n for state_name in exploration_stats.state_stats_mapping\\n }\\n instance_id = stats_models.ExplorationStatsModel.create(\\n exploration_stats.exp_id,\\n exploration_stats.exp_version,\\n exploration_stats.num_starts_v1,\\n exploration_stats.num_starts_v2,\\n exploration_stats.num_actual_starts_v1,\\n exploration_stats.num_actual_starts_v2,\\n exploration_stats.num_completions_v1,\\n exploration_stats.num_completions_v2,\\n new_state_stats_mapping\\n )\\n return instance_id\\n\\n\\ndef _save_stats_model(exploration_stats):\\n \\\"\\\"\\\"Updates the ExplorationStatsModel datastore instance with the passed\\n ExplorationStats domain object.\\n\\n Args:\\n exploration_stats. ExplorationStats. The exploration statistics domain\\n object.\\n \\\"\\\"\\\"\\n new_state_stats_mapping = {\\n state_name: exploration_stats.state_stats_mapping[state_name].to_dict()\\n for state_name in exploration_stats.state_stats_mapping\\n }\\n\\n exploration_stats_model = stats_models.ExplorationStatsModel.get_model(\\n exploration_stats.exp_id, exploration_stats.exp_version)\\n\\n exploration_stats_model.num_starts_v1 = exploration_stats.num_starts_v1\\n exploration_stats_model.num_starts_v2 = exploration_stats.num_starts_v2\\n exploration_stats_model.num_actual_starts_v1 = (\\n exploration_stats.num_actual_starts_v1)\\n exploration_stats_model.num_actual_starts_v2 = (\\n exploration_stats.num_actual_starts_v2)\\n exploration_stats_model.num_completions_v1 = (\\n exploration_stats.num_completions_v1)\\n exploration_stats_model.num_completions_v2 = (\\n exploration_stats.num_completions_v2)\\n exploration_stats_model.state_stats_mapping = new_state_stats_mapping\\n\\n exploration_stats_model.put()\\n\\n\\ndef save_stats_model_transactional(exploration_stats):\\n \\\"\\\"\\\"Updates the ExplorationStatsModel datastore instance with the passed\\n ExplorationStats domain object in a transaction.\\n\\n Args:\\n exploration_stats. ExplorationStats. The exploration statistics domain\\n object.\\n \\\"\\\"\\\"\\n transaction_services.run_in_transaction(\\n _save_stats_model, exploration_stats)\\n\\n\\ndef create_exp_issues_model(exp_issues):\\n \\\"\\\"\\\"Creates a new ExplorationIssuesModel in the datastore.\\n\\n Args:\\n exp_issues: ExplorationIssues. The exploration issues domain object.\\n \\\"\\\"\\\"\\n unresolved_issues_dicts = [\\n unresolved_issue.to_dict()\\n for unresolved_issue in exp_issues.unresolved_issues]\\n stats_models.ExplorationIssuesModel.create(\\n exp_issues.exp_id, exp_issues.exp_version, unresolved_issues_dicts)\\n\\n\\ndef _save_exp_issues_model(exp_issues):\\n \\\"\\\"\\\"Updates the ExplorationIssuesModel datastore instance with the passed\\n ExplorationIssues domain object.\\n\\n Args:\\n exp_issues: ExplorationIssues. The exploration issues domain\\n object.\\n \\\"\\\"\\\"\\n unresolved_issues_dicts = [\\n unresolved_issue.to_dict()\\n for unresolved_issue in exp_issues.unresolved_issues]\\n exp_issues_model = stats_models.ExplorationIssuesModel.get_model(\\n exp_issues.exp_id, exp_issues.exp_version)\\n exp_issues_model.exp_version = exp_issues.exp_version\\n exp_issues_model.unresolved_issues = unresolved_issues_dicts\\n\\n exp_issues_model.put()\\n\\n\\ndef save_exp_issues_model_transactional(exp_issues):\\n \\\"\\\"\\\"Updates the ExplorationIssuesModel datastore instance with the passed\\n ExplorationIssues domain object in a transaction.\\n\\n Args:\\n exp_issues: ExplorationIssues. The exploration issues domain\\n object.\\n \\\"\\\"\\\"\\n transaction_services.run_in_transaction(\\n _save_exp_issues_model, exp_issues)\\n\\n\\ndef get_exploration_stats_multi(exp_version_references):\\n \\\"\\\"\\\"Retrieves the exploration stats for the given explorations.\\n\\n Args:\\n exp_version_references: list(ExpVersionReference). List of exploration\\n version reference domain objects.\\n\\n Returns:\\n list(ExplorationStats). The list of exploration stats domain objects.\\n \\\"\\\"\\\"\\n exploration_stats_models = (\\n stats_models.ExplorationStatsModel.get_multi_stats_models(\\n exp_version_references))\\n\\n exploration_stats_list = []\\n for index, exploration_stats_model in enumerate(exploration_stats_models):\\n if exploration_stats_model is None:\\n exploration_stats_list.append(\\n stats_domain.ExplorationStats.create_default(\\n exp_version_references[index].exp_id,\\n exp_version_references[index].version,\\n {}))\\n else:\\n exploration_stats_list.append(\\n get_exploration_stats_from_model(exploration_stats_model))\\n\\n return exploration_stats_list\\n\\n\\ndef delete_playthroughs_multi(playthrough_ids):\\n \\\"\\\"\\\"Deletes multiple playthrough instances.\\n\\n Args:\\n playthrough_ids: list(str). List of playthrough IDs to be deleted.\\n \\\"\\\"\\\"\\n stats_models.PlaythroughModel.delete_playthroughs_multi(playthrough_ids)\\n\\n\\ndef get_visualizations_info(exp_id, state_name, interaction_id):\\n \\\"\\\"\\\"Returns a list of visualization info. Each item in the list is a dict\\n with keys 'data' and 'options'.\\n\\n Args:\\n exp_id: str. The ID of the exploration.\\n state_name: str. Name of the state.\\n interaction_id: str. The interaction type.\\n\\n Returns:\\n list(dict). Each item in the list is a dict with keys representing\\n - 'id': str. The visualization ID.\\n - 'data': list(dict). A list of answer/frequency dicts.\\n - 'options': dict. The visualization options.\\n\\n An example of the returned value may be:\\n [{'options': {'y_axis_label': 'Count', 'x_axis_label': 'Answer'},\\n 'id': 'BarChart',\\n 'data': [{u'frequency': 1, u'answer': 0}]}]\\n \\\"\\\"\\\"\\n if interaction_id is None:\\n return []\\n\\n visualizations = interaction_registry.Registry.get_interaction_by_id(\\n interaction_id).answer_visualizations\\n\\n calculation_ids = set([\\n visualization.calculation_id for visualization in visualizations])\\n\\n calculation_ids_to_outputs = {}\\n for calculation_id in calculation_ids:\\n # Don't show top unresolved answers calculation ouutput in stats of\\n # exploration.\\n if calculation_id == 'TopNUnresolvedAnswersByFrequency':\\n continue\\n\\n # This is None if the calculation job has not yet been run for this\\n # state.\\n calc_output_domain_object = _get_calc_output(\\n exp_id, state_name, calculation_id)\\n\\n # If the calculation job has not yet been run for this state, we simply\\n # exclude the corresponding visualization results.\\n if calc_output_domain_object is None:\\n continue\\n\\n # If the output was associated with a different interaction ID, skip the\\n # results. This filtering step is needed since the same calculation_id\\n # can be shared across multiple interaction types.\\n if calc_output_domain_object.interaction_id != interaction_id:\\n continue\\n\\n calculation_ids_to_outputs[calculation_id] = (\\n calc_output_domain_object.calculation_output.to_raw_type())\\n return [{\\n 'id': visualization.id,\\n 'data': calculation_ids_to_outputs[visualization.calculation_id],\\n 'options': visualization.options,\\n 'addressed_info_is_supported': (\\n visualization.addressed_info_is_supported),\\n } for visualization in visualizations\\n if visualization.calculation_id in calculation_ids_to_outputs]\\n\\n\\ndef record_answer(\\n exploration_id, exploration_version, state_name, interaction_id,\\n submitted_answer):\\n \\\"\\\"\\\"Record an answer by storing it to the corresponding StateAnswers entity.\\n\\n Args:\\n exploration_id: str. The exploration ID.\\n exploration_version: int. The version of the exploration.\\n state_name: str. The name of the state.\\n interaction_id: str. The ID of the interaction.\\n submitted_answer: SubmittedAnswer. The submitted answer.\\n \\\"\\\"\\\"\\n record_answers(\\n exploration_id, exploration_version, state_name, interaction_id,\\n [submitted_answer])\\n\\n\\ndef record_answers(\\n exploration_id, exploration_version, state_name, interaction_id,\\n submitted_answer_list):\\n \\\"\\\"\\\"Optimally record a group of answers using an already loaded exploration..\\n The submitted_answer_list is a list of SubmittedAnswer domain objects.\\n\\n Args:\\n exploration_id: str. The exploration ID.\\n exploration_version: int. The version of the exploration.\\n state_name: str. The name of the state.\\n interaction_id: str. The ID of the interaction.\\n submitted_answer_list: list(SubmittedAnswer). The list of answers to be\\n recorded.\\n \\\"\\\"\\\"\\n state_answers = stats_domain.StateAnswers(\\n exploration_id, exploration_version, state_name, interaction_id,\\n submitted_answer_list)\\n for submitted_answer in submitted_answer_list:\\n submitted_answer.validate()\\n\\n stats_models.StateAnswersModel.insert_submitted_answers(\\n state_answers.exploration_id, state_answers.exploration_version,\\n state_answers.state_name, state_answers.interaction_id,\\n state_answers.get_submitted_answer_dict_list())\\n\\n\\ndef get_state_answers(exploration_id, exploration_version, state_name):\\n \\\"\\\"\\\"Returns a StateAnswers object containing all answers associated with the\\n specified exploration state, or None if no such answers have yet been\\n submitted.\\n\\n Args:\\n exploration_id: str. The exploration ID.\\n exploration_version: int. The version of the exploration to fetch\\n answers for.\\n state_name: str. The name of the state to fetch answers for.\\n\\n Returns:\\n StateAnswers or None. A StateAnswers object containing all answers\\n associated with the state, or None if no such answers exist.\\n \\\"\\\"\\\"\\n state_answers_models = stats_models.StateAnswersModel.get_all_models(\\n exploration_id, exploration_version, state_name)\\n if state_answers_models:\\n main_state_answers_model = state_answers_models[0]\\n submitted_answer_dict_list = itertools.chain.from_iterable([\\n state_answers_model.submitted_answer_list\\n for state_answers_model in state_answers_models])\\n return stats_domain.StateAnswers(\\n exploration_id, exploration_version, state_name,\\n main_state_answers_model.interaction_id,\\n [stats_domain.SubmittedAnswer.from_dict(submitted_answer_dict)\\n for submitted_answer_dict in submitted_answer_dict_list],\\n schema_version=main_state_answers_model.schema_version)\\n else:\\n return None\\n\\n\\ndef get_sample_answers(exploration_id, exploration_version, state_name):\\n \\\"\\\"\\\"Fetches a list of sample answers that were submitted to the specified\\n exploration state (at the given version of the exploration).\\n\\n Args:\\n exploration_id: str. The exploration ID.\\n exploration_version: int. The version of the exploration to fetch\\n answers for.\\n state_name: str. The name of the state to fetch answers for.\\n\\n Returns:\\n list(*). A list of some sample raw answers. At most 100 answers are\\n returned.\\n \\\"\\\"\\\"\\n answers_model = stats_models.StateAnswersModel.get_master_model(\\n exploration_id, exploration_version, state_name)\\n if answers_model is None:\\n return []\\n\\n # Return at most 100 answers, and only answers from the initial shard (If\\n # we needed to use subsequent shards then the answers are probably too big\\n # anyway).\\n sample_answers = answers_model.submitted_answer_list[:100]\\n return [\\n stats_domain.SubmittedAnswer.from_dict(submitted_answer_dict).answer\\n for submitted_answer_dict in sample_answers]\\n\\n\\ndef get_top_state_answer_stats(exploration_id, state_name):\\n \\\"\\\"\\\"Fetches the top (at most) 10 answers from the given state_name in the\\n corresponding exploration. Only answers that occur with frequency >=\\n STATE_ANSWER_STATS_MIN_FREQUENCY are returned.\\n\\n Args:\\n exploration_id: str. The exploration ID.\\n state_name: str. The name of the state to fetch answers for.\\n\\n Returns:\\n list(*). A list of the top 10 answers, sorted by decreasing frequency.\\n \\\"\\\"\\\"\\n calc_output = (\\n _get_calc_output(exploration_id, state_name, 'Top10AnswerFrequencies'))\\n raw_calc_output = (\\n [] if calc_output is None else\\n calc_output.calculation_output.to_raw_type())\\n return [\\n {'answer': output['answer'], 'frequency': output['frequency']}\\n for output in raw_calc_output\\n if output['frequency'] >= feconf.STATE_ANSWER_STATS_MIN_FREQUENCY\\n ]\\n\\n\\ndef get_top_state_unresolved_answers(exploration_id, state_name):\\n \\\"\\\"\\\"Fetches the top unresolved answers for the given state_name in the\\n corresponding exploration. Only answers that occur with frequency >=\\n STATE_ANSWER_STATS_MIN_FREQUENCY are returned.\\n\\n Args:\\n exploration_id: str. The exploration ID.\\n state_name: str. The name of the state to fetch answers for.\\n\\n Returns:\\n list(*). A list of the top 10 answers, sorted by decreasing frequency.\\n \\\"\\\"\\\"\\n calc_output_model = _get_calc_output(\\n exploration_id, state_name, 'TopNUnresolvedAnswersByFrequency')\\n\\n if not calc_output_model:\\n return []\\n\\n calculation_output = calc_output_model.calculation_output.to_raw_type()\\n return [\\n {'answer': output['answer'], 'frequency': output['frequency']}\\n for output in calculation_output\\n if output['frequency'] >= feconf.STATE_ANSWER_STATS_MIN_FREQUENCY\\n ]\\n\\n\\ndef get_top_state_answer_stats_multi(exploration_id, state_names):\\n \\\"\\\"\\\"Fetches the top (at most) 10 answers from each given state_name in the\\n corresponding exploration. Only answers that occur with frequency >=\\n STATE_ANSWER_STATS_MIN_FREQUENCY are returned.\\n\\n Args:\\n exploration_id: str. The exploration ID.\\n state_names: list(str). The name of the state to fetch answers for.\\n\\n Returns:\\n dict(str: list(*)). Dict mapping each state name to the list of its top\\n (at most) 10 answers, sorted by decreasing frequency.\\n \\\"\\\"\\\"\\n return {\\n state_name: get_top_state_answer_stats(exploration_id, state_name)\\n for state_name in state_names\\n }\\n\\n\\ndef _get_calc_output(exploration_id, state_name, calculation_id):\\n \\\"\\\"\\\"Get state answers calculation output domain object obtained from\\n StateAnswersCalcOutputModel instance stored in the data store. The\\n calculation ID comes from the name of the calculation class used to compute\\n aggregate data from submitted user answers. This returns aggregated output\\n for all versions of the specified state and exploration.\\n\\n Args:\\n exploration_id: str. ID of the exploration.\\n state_name: str. Name of the state.\\n calculation_id: str. Name of the calculation class.\\n\\n Returns:\\n StateAnswersCalcOutput|None. The state answers calculation output\\n domain object or None.\\n \\\"\\\"\\\"\\n calc_output_model = stats_models.StateAnswersCalcOutputModel.get_model(\\n exploration_id, VERSION_ALL, state_name, calculation_id)\\n if calc_output_model:\\n calculation_output = None\\n if (calc_output_model.calculation_output_type ==\\n stats_domain.CALC_OUTPUT_TYPE_ANSWER_FREQUENCY_LIST):\\n calculation_output = (\\n stats_domain.AnswerFrequencyList.from_raw_type(\\n calc_output_model.calculation_output))\\n elif (calc_output_model.calculation_output_type ==\\n stats_domain.CALC_OUTPUT_TYPE_CATEGORIZED_ANSWER_FREQUENCY_LISTS):\\n calculation_output = (\\n stats_domain.CategorizedAnswerFrequencyLists.from_raw_type(\\n calc_output_model.calculation_output))\\n return stats_domain.StateAnswersCalcOutput(\\n exploration_id, VERSION_ALL, state_name,\\n calc_output_model.interaction_id, calculation_id,\\n calculation_output)\\n else:\\n return None\\n\",\n \"path\": \"core/domain/stats_services.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/core/domain/stats_services.py b/core/domain/stats_services.py\nindex 0a6dcf439f2d5..3b17bbad4e7fd 100644\n--- a/core/domain/stats_services.py\n+++ b/core/domain/stats_services.py\n@@ -104,7 +104,6 @@ def get_exploration_stats(exp_id, exp_version):\n ExplorationStats. The exploration stats domain object.\n \"\"\"\n exploration_stats = get_exploration_stats_by_id(exp_id, exp_version)\n-\n if exploration_stats is None:\n exploration_stats = stats_domain.ExplorationStats.create_default(\n exp_id, exp_version, {})\ndiff --git a/core/templates/dev/head/components/HintAndSolutionButtonsDirective.js b/core/templates/dev/head/components/HintAndSolutionButtonsDirective.js\nindex 1b573fd59e2a2..f38bd17e8044c 100644\n--- a/core/templates/dev/head/components/HintAndSolutionButtonsDirective.js\n+++ b/core/templates/dev/head/components/HintAndSolutionButtonsDirective.js\n@@ -25,20 +25,18 @@ oppia.directive('hintAndSolutionButtons', [\n '/components/hint_and_solution_buttons_directive.html'),\n controller: [\n '$scope', '$rootScope', 'HintsAndSolutionManagerService',\n- 'ExplorationPlayerService', 'PlayerTranscriptService',\n- 'HintAndSolutionModalService', 'DeviceInfoService',\n+ 'ExplorationEngineService', 'PlayerTranscriptService',\n+ 'HintAndSolutionModalService', 'DeviceInfoService', 'ContextService',\n 'PlayerPositionService', 'EVENT_ACTIVE_CARD_CHANGED',\n- 'EVENT_NEW_CARD_OPENED', 'INTERACTION_SPECS',\n+ 'EVENT_NEW_CARD_OPENED', 'INTERACTION_SPECS', 'StatsReportingService',\n function(\n $scope, $rootScope, HintsAndSolutionManagerService,\n- ExplorationPlayerService, PlayerTranscriptService,\n- HintAndSolutionModalService, DeviceInfoService,\n+ ExplorationEngineService, PlayerTranscriptService,\n+ HintAndSolutionModalService, DeviceInfoService, ContextService,\n PlayerPositionService, EVENT_ACTIVE_CARD_CHANGED,\n- EVENT_NEW_CARD_OPENED, INTERACTION_SPECS) {\n- // The state name of the latest card that's open. This is the state\n- // name that the current hints and solution correspond to.\n- var latestStateName = null;\n+ EVENT_NEW_CARD_OPENED, INTERACTION_SPECS, StatsReportingService) {\n $scope.hintIndexes = [];\n+ var _editorPreviewMode = ContextService.isInExplorationEditorPage();\n // Represents the index of the currently viewed hint.\n $scope.activeHintIndex = null;\n $scope.solutionModalIsActive = false;\n@@ -57,11 +55,9 @@ oppia.directive('hintAndSolutionButtons', [\n };\n \n $scope.isHintButtonVisible = function(index) {\n- return HintsAndSolutionManagerService.isHintViewable(index) &&\n- !INTERACTION_SPECS[ExplorationPlayerService.getInteraction(\n- PlayerPositionService.getCurrentStateName()).id].is_terminal &&\n- !INTERACTION_SPECS[ExplorationPlayerService.getInteraction(\n- PlayerPositionService.getCurrentStateName()).id].is_linear;\n+ return (\n+ HintsAndSolutionManagerService.isHintViewable(index) &&\n+ ExplorationEngineService.doesInteractionSupportHints());\n };\n \n $scope.isSolutionButtonVisible = function() {\n@@ -94,18 +90,20 @@ oppia.directive('hintAndSolutionButtons', [\n \n $scope.displaySolutionModal = function() {\n $scope.solutionModalIsActive = true;\n- ExplorationPlayerService.recordSolutionHit(latestStateName);\n+ if (!_editorPreviewMode) {\n+ StatsReportingService.recordSolutionHit(\n+ ExplorationEngineService.getCurrentStateName());\n+ }\n var promise = HintAndSolutionModalService.displaySolutionModal();\n promise.result.then(null, function() {\n $scope.solutionModalIsActive = false;\n });\n };\n \n- $scope.$on(EVENT_NEW_CARD_OPENED, function(evt, data) {\n- latestStateName = data.stateName;\n+ $scope.$on(EVENT_NEW_CARD_OPENED, function(evt) {\n HintsAndSolutionManagerService.reset(\n- ExplorationPlayerService.getHints(data.stateName),\n- ExplorationPlayerService.getSolution(data.stateName)\n+ ExplorationEngineService.getHints(),\n+ ExplorationEngineService.getSolution()\n );\n resetLocalHintsArray();\n });\ndiff --git a/core/templates/dev/head/domain/state_card/StateCardObjectFactory.js b/core/templates/dev/head/domain/state_card/StateCardObjectFactory.js\nnew file mode 100644\nindex 0000000000000..18b9cd7d65e1b\n--- /dev/null\n+++ b/core/templates/dev/head/domain/state_card/StateCardObjectFactory.js\n@@ -0,0 +1,111 @@\n+// Copyright 2018 The Oppia Authors. All Rights Reserved.\n+//\n+// Licensed under the Apache License, Version 2.0 (the \"License\");\n+// you may not use this file except in compliance with the License.\n+// You may obtain a copy of the License at\n+//\n+// http://www.apache.org/licenses/LICENSE-2.0\n+//\n+// Unless required by applicable law or agreed to in writing, software\n+// distributed under the License is distributed on an \"AS-IS\" BASIS,\n+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n+// See the License for the specific language governing permissions and\n+// limitations under the License.\n+\n+/**\n+ * @fileoverview Factory for creating new frontend instances of State\n+ * card domain objects used in the exploration player.\n+ */\n+\n+oppia.factory('StateCardObjectFactory', [function() {\n+ var StateCard = function(\n+ stateName, currentParams, contentHtml, interactionHtml,\n+ leadsToConceptCard, destStateName, inputResponsePairs) {\n+ this._stateName = stateName;\n+ this._currentParams = currentParams;\n+ this._contentHtml = contentHtml;\n+ this._interactionHtml = interactionHtml;\n+ this._leadsToConceptCard = leadsToConceptCard;\n+ this._destStateName = destStateName;\n+ this._inputResponsePairs = inputResponsePairs;\n+ };\n+\n+ StateCard.prototype.getDestStateName = function() {\n+ return this._destStateName;\n+ };\n+\n+ StateCard.prototype.getStateName = function() {\n+ return this._stateName;\n+ };\n+\n+ StateCard.prototype.getCurrentParams = function() {\n+ return this._currentParams;\n+ };\n+\n+ StateCard.prototype.getContentHtml = function() {\n+ return this._contentHtml;\n+ };\n+\n+ StateCard.prototype.getInteractionHtml = function() {\n+ return this._interactionHtml;\n+ };\n+\n+ StateCard.prototype.getOppiaResponse = function(index) {\n+ return this._inputResponsePairs[index].oppiaResponse;\n+ };\n+\n+ StateCard.prototype.getLeadsToConceptCard = function() {\n+ return this._leadsToConceptCard;\n+ };\n+\n+ StateCard.prototype.getInputResponsePairs = function() {\n+ return this._inputResponsePairs;\n+ };\n+\n+ StateCard.prototype.getLastInputResponsePair = function() {\n+ if (this._inputResponsePairs.length === 0) {\n+ return null;\n+ }\n+ return this._inputResponsePairs[this._inputResponsePairs.length - 1];\n+ };\n+\n+ StateCard.prototype.getLastOppiaResponse = function() {\n+ if (this.getLastInputResponsePair() === null) {\n+ return null;\n+ }\n+ return this.getLastInputResponsePair().oppiaResponse;\n+ };\n+\n+ StateCard.prototype.addInputResponsePair = function(inputResponsePair) {\n+ this._inputResponsePairs.push(angular.copy(inputResponsePair));\n+ };\n+\n+ StateCard.prototype.setDestStateName = function(destStateName) {\n+ this._destStateName = destStateName;\n+ };\n+\n+ StateCard.prototype.setOppiaResponse = function(index, response) {\n+ this._inputResponsePairs[index].oppiaResponse = response;\n+ };\n+\n+ StateCard.prototype.setLastOppiaResponse = function(response) {\n+ this.setOppiaResponse(this._inputResponsePairs.length - 1, response);\n+ };\n+\n+ StateCard.prototype.setInteractionHtml = function(interactionHtml) {\n+ this._interactionHtml = interactionHtml;\n+ };\n+\n+ StateCard.prototype.setLeadsToConceptCard = function(leadsToConceptCard) {\n+ this._leadsToConceptCard = leadsToConceptCard;\n+ };\n+\n+ StateCard.createNewCard = function(\n+ stateName, params, contentHtml, interactionHtml, leadsToConceptCard) {\n+ return new StateCard(\n+ stateName, params, contentHtml, interactionHtml,\n+ leadsToConceptCard, null, []);\n+ };\n+\n+ return StateCard;\n+}]);\ndiff --git a/core/templates/dev/head/domain/state_card/StateCardObjectFactorySpec.js b/core/templates/dev/head/domain/state_card/StateCardObjectFactorySpec.js\nnew file mode 100644\nindex 0000000000000..56170908ac71d\n--- /dev/null\n+++ b/core/templates/dev/head/domain/state_card/StateCardObjectFactorySpec.js\n@@ -0,0 +1,78 @@\n+// Copyright 2018 The Oppia Authors. All Rights Reserved.\n+//\n+// Licensed under the Apache License, Version 2.0 (the \"License\");\n+// you may not use this file except in compliance with the License.\n+// You may obtain a copy of the License at\n+//\n+// http://www.apache.org/licenses/LICENSE-2.0\n+//\n+// Unless required by applicable law or agreed to in writing, software\n+// distributed under the License is distributed on an \"AS-IS\" BASIS,\n+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n+// See the License for the specific language governing permissions and\n+// limitations under the License.\n+\n+/**\n+ * @fileoverview Tests for StateCardObjectFactory.\n+ */\n+\n+describe('State card object factory', function() {\n+ var StateCardObjectFactory = null;\n+ var _sampleCard = null;\n+\n+ beforeEach(module('oppia'));\n+\n+ beforeEach(inject(function($injector) {\n+ StateCardObjectFactory = $injector.get('StateCardObjectFactory');\n+\n+ _sampleCard = StateCardObjectFactory.createNewCard(\n+ 'State 1', {}, '<p>Content</p>', '<interaction></interaction>', false);\n+ }));\n+\n+ it('should be able to get the various fields', function() {\n+ expect(_sampleCard.getStateName()).toEqual('State 1');\n+ expect(_sampleCard.getCurrentParams()).toEqual({});\n+ expect(_sampleCard.getContentHtml()).toEqual('<p>Content</p>');\n+ expect(_sampleCard.getInteractionHtml()).toEqual(\n+ '<interaction></interaction>');\n+ expect(_sampleCard.getInputResponsePairs()).toEqual([]);\n+ expect(_sampleCard.getLastInputResponsePair()).toEqual(null);\n+ expect(_sampleCard.getLastOppiaResponse()).toEqual(null);\n+ expect(_sampleCard.getDestStateName()).toEqual(null);\n+ expect(_sampleCard.getLeadsToConceptCard()).toEqual(false);\n+\n+ _sampleCard.addInputResponsePair({\n+ oppiaResponse: 'response'\n+ });\n+\n+ expect(_sampleCard.getOppiaResponse(0)).toEqual('response');\n+ expect(_sampleCard.getLastOppiaResponse()).toEqual('response');\n+ expect(_sampleCard.getLastInputResponsePair()).toEqual({\n+ oppiaResponse: 'response'\n+ });\n+ });\n+\n+ it('should add input response pair', function() {\n+ _sampleCard.addInputResponsePair('pair 1');\n+ expect(_sampleCard.getInputResponsePairs()).toEqual(['pair 1']);\n+ });\n+\n+ it('should be able to set the various fields', function() {\n+ _sampleCard.setInteractionHtml('<interaction_2></interaction_2>');\n+ expect(_sampleCard.getInteractionHtml()).toEqual(\n+ '<interaction_2></interaction_2>');\n+ _sampleCard.setDestStateName('state 2');\n+ expect(_sampleCard.getDestStateName()).toEqual('state 2');\n+ _sampleCard.setLeadsToConceptCard(true);\n+ expect(_sampleCard.getLeadsToConceptCard()).toEqual(true);\n+\n+ _sampleCard.addInputResponsePair({\n+ oppiaResponse: 'response'\n+ });\n+ _sampleCard.setOppiaResponse(0, 'response_2');\n+ expect(_sampleCard.getOppiaResponse(0)).toEqual('response_2');\n+\n+ _sampleCard.setLastOppiaResponse('response_3');\n+ expect(_sampleCard.getLastOppiaResponse()).toEqual('response_3');\n+ });\n+});\ndiff --git a/core/templates/dev/head/pages/exploration_editor/exploration_editor.html b/core/templates/dev/head/pages/exploration_editor/exploration_editor.html\nindex 0536547dc292b..4b8eeeb91dc7f 100644\n--- a/core/templates/dev/head/pages/exploration_editor/exploration_editor.html\n+++ b/core/templates/dev/head/pages/exploration_editor/exploration_editor.html\n@@ -355,6 +355,7 @@\n <script src=\"/templates/dev/head/domain/exploration/TriggerObjectFactory.js\"></script>\n <script src=\"/templates/dev/head/domain/objects/FractionObjectFactory.js\"></script>\n <script src=\"/templates/dev/head/domain/state/StateObjectFactory.js\"></script>\n+ <script src=\"/templates/dev/head/domain/state_card/StateCardObjectFactory.js\"></script>\n <script src=\"/templates/dev/head/domain/statistics/PlaythroughObjectFactory.js\"></script>\n <script src=\"/templates/dev/head/domain/statistics/ExplorationIssueObjectFactory.js\"></script>\n <script src=\"/templates/dev/head/domain/statistics/LearnerActionObjectFactory.js\"></script>\n@@ -375,7 +376,6 @@\n \n <script src=\"/templates/dev/head/pages/exploration_player/TutorCardDirective.js\"></script>\n <script src=\"/templates/dev/head/pages/exploration_player/SupplementalCardDirective.js\"></script>\n- <script src=\"/templates/dev/head/pages/exploration_player/ExplorationPlayerStateService.js\"></script>\n <script src=\"/templates/dev/head/pages/exploration_player/PlayerConstants.js\"></script>\n <script src=\"/templates/dev/head/pages/exploration_player/AnswerClassificationService.js\"></script>\n <script src=\"/templates/dev/head/pages/exploration_player/StateClassifierMappingService.js\"></script>\n@@ -395,7 +395,7 @@\n <script src=\"/templates/dev/head/pages/exploration_player/LearnerParamsService.js\"></script>\n <script src=\"/templates/dev/head/pages/exploration_player/LearnerViewRatingService.js\"></script>\n <script src=\"/templates/dev/head/pages/exploration_player/PlayerPositionService.js\"></script>\n- <script src=\"/templates/dev/head/pages/exploration_player/PlayerServices.js\"></script>\n+ <script src=\"/templates/dev/head/pages/exploration_player/ExplorationEngineService.js\"></script>\n <script src=\"/templates/dev/head/pages/exploration_player/PlayerTranscriptService.js\"></script>\n <script src=\"/templates/dev/head/pages/exploration_player/ProgressNavDirective.js\"></script>\n <script src=\"/templates/dev/head/pages/exploration_player/StatsReportingService.js\"></script>\ndiff --git a/core/templates/dev/head/pages/exploration_editor/preview_tab/PreviewTab.js b/core/templates/dev/head/pages/exploration_editor/preview_tab/PreviewTab.js\nindex 96114224609d7..c6c744cfb149c 100644\n--- a/core/templates/dev/head/pages/exploration_editor/preview_tab/PreviewTab.js\n+++ b/core/templates/dev/head/pages/exploration_editor/preview_tab/PreviewTab.js\n@@ -20,21 +20,23 @@\n oppia.controller('PreviewTab', [\n '$scope', '$uibModal', '$q', '$timeout', 'LearnerParamsService',\n 'ExplorationDataService', 'ExplorationAdvancedFeaturesService',\n- 'ExplorationCategoryService', 'StateEditorService',\n+ 'ExplorationCategoryService', 'StateEditorService', 'ContextService',\n 'ExplorationInitStateNameService', 'ExplorationParamChangesService',\n 'ExplorationParamSpecsService', 'ExplorationStatesService',\n- 'ExplorationTitleService', 'ExplorationPlayerService',\n+ 'ExplorationTitleService', 'ExplorationEngineService',\n 'ParameterMetadataService', 'ParamChangeObjectFactory',\n- 'UrlInterpolationService',\n+ 'NumberAttemptsService', 'EditableExplorationBackendApiService',\n+ 'UrlInterpolationService', 'PlayerCorrectnessFeedbackEnabledService',\n function(\n $scope, $uibModal, $q, $timeout, LearnerParamsService,\n ExplorationDataService, ExplorationAdvancedFeaturesService,\n- ExplorationCategoryService, StateEditorService,\n+ ExplorationCategoryService, StateEditorService, ContextService,\n ExplorationInitStateNameService, ExplorationParamChangesService,\n ExplorationParamSpecsService, ExplorationStatesService,\n- ExplorationTitleService, ExplorationPlayerService,\n+ ExplorationTitleService, ExplorationEngineService,\n ParameterMetadataService, ParamChangeObjectFactory,\n- UrlInterpolationService) {\n+ NumberAttemptsService, EditableExplorationBackendApiService,\n+ UrlInterpolationService, PlayerCorrectnessFeedbackEnabledService) {\n $scope.isExplorationPopulated = false;\n ExplorationDataService.getData().then(function() {\n var initStateNameForPreview = StateEditorService.getActiveStateName();\n@@ -113,7 +115,7 @@ oppia.controller('PreviewTab', [\n };\n \n $scope.loadPreviewState = function(stateName, manualParamChanges) {\n- ExplorationPlayerService.initSettingsFromEditor(\n+ ExplorationEngineService.initSettingsFromEditor(\n stateName, manualParamChanges);\n $scope.isExplorationPopulated = true;\n };\n@@ -123,9 +125,17 @@ oppia.controller('PreviewTab', [\n $scope.isExplorationPopulated = false;\n initStateNameForPreview = ExplorationInitStateNameService.savedMemento;\n $timeout(function() {\n- ExplorationPlayerService.init(function(exploration, initHtml,\n- newParams) {\n- $scope.loadPreviewState(initStateNameForPreview, []);\n+ var explorationId = ContextService.getExplorationId();\n+ EditableExplorationBackendApiService.fetchApplyDraftExploration(\n+ explorationId).then(function(returnDict) {\n+ ExplorationEngineService.init(\n+ returnDict, null, null, null,\n+ function(exploration, initHtml, newParams) {\n+ $scope.loadPreviewState(initStateNameForPreview, []);\n+ });\n+ PlayerCorrectnessFeedbackEnabledService.init(\n+ returnDict.correctness_feedback_enabled);\n+ NumberAttemptsService.reset();\n });\n }, 200);\n };\ndiff --git a/core/templates/dev/head/pages/exploration_player/AudioPreloaderService.js b/core/templates/dev/head/pages/exploration_player/AudioPreloaderService.js\nindex 1be9f7865cdab..beadd8177db72 100644\n--- a/core/templates/dev/head/pages/exploration_player/AudioPreloaderService.js\n+++ b/core/templates/dev/head/pages/exploration_player/AudioPreloaderService.js\n@@ -18,13 +18,11 @@\n \n oppia.factory('AudioPreloaderService', [\n '$uibModal', 'ContextService', 'AssetsBackendApiService',\n- 'ExplorationPlayerStateService', 'UrlInterpolationService',\n+ 'UrlInterpolationService', 'ComputeGraphService',\n 'AudioTranslationLanguageService', 'LanguageUtilService',\n- 'ComputeGraphService',\n function($uibModal, ContextService, AssetsBackendApiService,\n- ExplorationPlayerStateService, UrlInterpolationService,\n- AudioTranslationLanguageService, LanguageUtilService,\n- ComputeGraphService) {\n+ UrlInterpolationService, ComputeGraphService,\n+ AudioTranslationLanguageService, LanguageUtilService) {\n var MAX_NUM_AUDIO_FILES_TO_DOWNLOAD_SIMULTANEOUSLY = 3;\n \n var _filenamesOfAudioCurrentlyDownloading = [];\ndiff --git a/core/templates/dev/head/pages/exploration_player/ConversationSkinDirective.js b/core/templates/dev/head/pages/exploration_player/ConversationSkinDirective.js\nindex 105851d6e3075..7945efe6f468c 100644\n--- a/core/templates/dev/head/pages/exploration_player/ConversationSkinDirective.js\n+++ b/core/templates/dev/head/pages/exploration_player/ConversationSkinDirective.js\n@@ -249,41 +249,49 @@ oppia.directive('conversationSkin', [\n controller: [\n '$scope', '$timeout', '$rootScope', '$window', '$translate', '$http',\n '$location', 'MessengerService', 'AlertsService',\n- 'ExplorationPlayerService', 'UrlService', 'FocusManagerService',\n+ 'ExplorationEngineService', 'UrlService', 'FocusManagerService',\n 'LearnerViewRatingService', 'WindowDimensionsService',\n- 'PlayerTranscriptService', 'LearnerParamsService',\n- 'PlayerPositionService', 'ExplorationRecommendationsService',\n+ 'EditableExplorationBackendApiService', 'PlayerTranscriptService',\n+ 'LearnerParamsService', 'ExplorationRecommendationsService',\n+ 'ReadOnlyExplorationBackendApiService', 'PlayerPositionService',\n 'StatsReportingService', 'siteAnalyticsService',\n- 'ExplorationPlayerStateService', 'CONTENT_FOCUS_LABEL_PREFIX',\n+ 'CONTENT_FOCUS_LABEL_PREFIX', 'TWO_CARD_THRESHOLD_PX',\n 'CONTINUE_BUTTON_FOCUS_LABEL', 'EVENT_ACTIVE_CARD_CHANGED',\n 'EVENT_NEW_CARD_AVAILABLE', 'EVENT_PROGRESS_NAV_SUBMITTED',\n 'FatigueDetectionService', 'NumberAttemptsService',\n- 'PlayerCorrectnessFeedbackEnabledService',\n+ 'PlayerCorrectnessFeedbackEnabledService', 'ContextService',\n 'ConceptCardBackendApiService', 'ConceptCardObjectFactory',\n- 'RefresherExplorationConfirmationModalService',\n+ 'RefresherExplorationConfirmationModalService', 'PAGE_CONTEXT',\n 'EXPLORATION_SUMMARY_DATA_URL_TEMPLATE', 'INTERACTION_SPECS',\n 'EVENT_NEW_CARD_OPENED', 'HintsAndSolutionManagerService',\n 'AudioTranslationManagerService', 'EVENT_AUTOPLAY_AUDIO',\n 'COMPONENT_NAME_FEEDBACK', 'AutogeneratedAudioPlayerService',\n+ 'StateClassifierMappingService', 'ENABLE_PLAYTHROUGH_RECORDING',\n+ 'ImagePreloaderService',\n+ 'WHITELISTED_COLLECTION_IDS_FOR_SAVING_GUEST_PROGRESS',\n function(\n $scope, $timeout, $rootScope, $window, $translate, $http,\n $location, MessengerService, AlertsService,\n- ExplorationPlayerService, UrlService, FocusManagerService,\n+ ExplorationEngineService, UrlService, FocusManagerService,\n LearnerViewRatingService, WindowDimensionsService,\n- PlayerTranscriptService, LearnerParamsService,\n- PlayerPositionService, ExplorationRecommendationsService,\n+ EditableExplorationBackendApiService, PlayerTranscriptService,\n+ LearnerParamsService, ExplorationRecommendationsService,\n+ ReadOnlyExplorationBackendApiService, PlayerPositionService,\n StatsReportingService, siteAnalyticsService,\n- ExplorationPlayerStateService, CONTENT_FOCUS_LABEL_PREFIX,\n+ CONTENT_FOCUS_LABEL_PREFIX, TWO_CARD_THRESHOLD_PX,\n CONTINUE_BUTTON_FOCUS_LABEL, EVENT_ACTIVE_CARD_CHANGED,\n EVENT_NEW_CARD_AVAILABLE, EVENT_PROGRESS_NAV_SUBMITTED,\n FatigueDetectionService, NumberAttemptsService,\n- PlayerCorrectnessFeedbackEnabledService,\n+ PlayerCorrectnessFeedbackEnabledService, ContextService,\n ConceptCardBackendApiService, ConceptCardObjectFactory,\n- RefresherExplorationConfirmationModalService,\n+ RefresherExplorationConfirmationModalService, PAGE_CONTEXT,\n EXPLORATION_SUMMARY_DATA_URL_TEMPLATE, INTERACTION_SPECS,\n EVENT_NEW_CARD_OPENED, HintsAndSolutionManagerService,\n AudioTranslationManagerService, EVENT_AUTOPLAY_AUDIO,\n- COMPONENT_NAME_FEEDBACK, AutogeneratedAudioPlayerService) {\n+ COMPONENT_NAME_FEEDBACK, AutogeneratedAudioPlayerService,\n+ StateClassifierMappingService, ENABLE_PLAYTHROUGH_RECORDING,\n+ ImagePreloaderService,\n+ WHITELISTED_COLLECTION_IDS_FOR_SAVING_GUEST_PROGRESS) {\n $scope.CONTINUE_BUTTON_FOCUS_LABEL = CONTINUE_BUTTON_FOCUS_LABEL;\n // The minimum width, in pixels, needed to be able to show two cards\n // side-by-side.\n@@ -294,13 +302,15 @@ oppia.directive('conversationSkin', [\n var hasInteractedAtLeastOnce = false;\n $scope.answerIsBeingProcessed = false;\n var _nextFocusLabel = null;\n+ var _editorPreviewMode = ContextService.isInExplorationEditorPage();\n // This variable is used only when viewport is narrow.\n // Indicates whether the tutor card is displayed.\n var tutorCardIsDisplayedIfNarrow = true;\n \n- $scope.explorationId = ExplorationPlayerService.getExplorationId();\n- $scope.isInPreviewMode = ExplorationPlayerService.isInPreviewMode();\n+ $scope.explorationId = ExplorationEngineService.getExplorationId();\n+ $scope.isInPreviewMode = ExplorationEngineService.isInPreviewMode();\n $scope.isIframed = UrlService.isIframed();\n+ $scope.inPretestMode = false;\n $rootScope.loadingMessage = 'Loading';\n $scope.hasFullyLoaded = false;\n $scope.recommendedExplorationSummaries = null;\n@@ -318,13 +328,11 @@ oppia.directive('conversationSkin', [\n \n $scope.isLearnAgainButton = function() {\n var conceptCardIsBeingShown =\n- ExplorationPlayerStateService.isStateShowingConceptCard(\n- $scope.activeCard.stateName);\n+ ExplorationEngineService.isStateShowingConceptCard();\n if (conceptCardIsBeingShown) {\n return false;\n }\n- var interaction = ExplorationPlayerService.getInteraction(\n- $scope.activeCard.stateName);\n+ var interaction = ExplorationEngineService.getCurrentInteraction();\n if (INTERACTION_SPECS[interaction.id].is_linear) {\n return false;\n }\n@@ -333,6 +341,21 @@ oppia.directive('conversationSkin', [\n $scope.isCorrectnessFeedbackEnabled());\n };\n \n+ var _getRandomSuffix = function() {\n+ // This is a bit of a hack. When a refresh to a $scope variable\n+ // happens,\n+ // AngularJS compares the new value of the variable to its previous\n+ // value. If they are the same, then the variable is not updated.\n+ // Appending a random suffix makes the new value different from the\n+ // previous one, and thus indirectly forces a refresh.\n+ var randomSuffix = '';\n+ var N = Math.round(Math.random() * 1000);\n+ for (var i = 0; i < N; i++) {\n+ randomSuffix += ' ';\n+ }\n+ return randomSuffix;\n+ };\n+\n $scope.OPPIA_AVATAR_IMAGE_URL = (\n UrlInterpolationService.getStaticImageUrl(\n '/avatar/oppia_avatar_100px.svg'));\n@@ -340,6 +363,7 @@ oppia.directive('conversationSkin', [\n UrlInterpolationService.getStaticImageUrl);\n \n $scope.activeCard = null;\n+ var explorationActuallyStarted = false;\n \n $scope.upcomingStateName = null;\n $scope.upcomingContentHtml = null;\n@@ -384,18 +408,11 @@ oppia.directive('conversationSkin', [\n \n $scope.isOnTerminalCard = function() {\n return $scope.activeCard &&\n- ExplorationPlayerStateService.isStateTerminal(\n- $scope.activeCard.stateName);\n+ ExplorationEngineService.isCurrentStateTerminal();\n };\n \n var isSupplementalCardNonempty = function(card) {\n- if (\n- ExplorationPlayerStateService.isStateShowingConceptCard(\n- card.stateName)) {\n- return false;\n- }\n- return !ExplorationPlayerStateService.isInteractionInline(\n- card.stateName);\n+ return !ExplorationEngineService.isInteractionInline();\n };\n \n $scope.isCurrentSupplementalCardNonempty = function() {\n@@ -404,22 +421,30 @@ oppia.directive('conversationSkin', [\n };\n \n $scope.isSupplementalNavShown = function() {\n- if (\n- ExplorationPlayerStateService.isStateShowingConceptCard(\n- $scope.activeCard.stateName)) {\n+ if (ExplorationEngineService.isStateShowingConceptCard()) {\n return false;\n }\n- var interaction = ExplorationPlayerService.getInteraction(\n- $scope.activeCard.stateName);\n+ var interaction = ExplorationEngineService.getCurrentInteraction();\n return (\n Boolean(interaction.id) &&\n INTERACTION_SPECS[interaction.id].show_generic_submit_button &&\n $scope.isCurrentCardAtEndOfTranscript());\n };\n \n+ var _recordLeaveForRefresherExp = function(refresherExpId) {\n+ if (!_editorPreviewMode) {\n+ StatsReportingService.recordLeaveForRefresherExp(\n+ ExplorationEngineService.getCurrentStateName(),\n+ refresherExpId);\n+ }\n+ };\n+\n // Navigates to the currently-active card, and resets the\n // 'show previous responses' setting.\n var _navigateToActiveCard = function() {\n+ var index = PlayerPositionService.getActiveCardIndex();\n+ $scope.activeCard = PlayerTranscriptService.getCard(index);\n+ ExplorationEngineService.setCurrentStateIndex(index);\n $rootScope.$broadcast(EVENT_ACTIVE_CARD_CHANGED);\n $scope.$broadcast(EVENT_AUTOPLAY_AUDIO);\n /* A hash value is added to URL for scrolling to Oppia feedback\n@@ -432,8 +457,6 @@ oppia.directive('conversationSkin', [\n // bug where the autogenerated audio player generates duplicate\n // utterances occurs.\n AutogeneratedAudioPlayerService.cancel();\n- var index = PlayerPositionService.getActiveCardIndex();\n- $scope.activeCard = PlayerTranscriptService.getCard(index);\n tutorCardIsDisplayedIfNarrow = true;\n if (_nextFocusLabel && PlayerTranscriptService.isLastCard(index)) {\n FocusManagerService.setFocusIfOnDesktop(_nextFocusLabel);\n@@ -494,14 +517,14 @@ oppia.directive('conversationSkin', [\n \n if (\n totalNumCards > 1 &&\n- ExplorationPlayerService.canWindowShowTwoCards() &&\n+ $scope.canWindowShowTwoCards() &&\n !previousSupplementalCardIsNonempty &&\n nextSupplementalCardIsNonempty) {\n PlayerPositionService.setActiveCardIndex(totalNumCards - 1);\n animateToTwoCards(function() {});\n } else if (\n totalNumCards > 1 &&\n- ExplorationPlayerService.canWindowShowTwoCards() &&\n+ $scope.canWindowShowTwoCards() &&\n previousSupplementalCardIsNonempty &&\n !nextSupplementalCardIsNonempty) {\n animateToOneCard(function() {\n@@ -511,7 +534,7 @@ oppia.directive('conversationSkin', [\n PlayerPositionService.setActiveCardIndex(totalNumCards - 1);\n }\n \n- if (ExplorationPlayerStateService.isStateTerminal(stateName)) {\n+ if (ExplorationEngineService.isCurrentStateTerminal()) {\n $scope.isRefresherExploration = false;\n $scope.parentExplorationIds =\n UrlService.getQueryFieldValuesAsList('parent');\n@@ -525,8 +548,7 @@ oppia.directive('conversationSkin', [\n recommendedExplorationIds.push(parentExplorationId);\n } else {\n recommendedExplorationIds =\n- ExplorationPlayerStateService.getAuthorRecommendedExpIds(\n- stateName);\n+ ExplorationEngineService.getAuthorRecommendedExpIds();\n includeAutogeneratedRecommendations = true;\n }\n \n@@ -539,61 +561,139 @@ oppia.directive('conversationSkin', [\n }\n };\n \n+ var _initializeExplorationServices = function(returnDict) {\n+ var version = GLOBALS.explorationVersion;\n+ var explorationId = ContextService.getExplorationId();\n+ StateClassifierMappingService.init(\n+ returnDict.state_classifier_mapping);\n+ StatsReportingService.initSession(\n+ explorationId, returnDict.exploration.title,\n+ version, returnDict.session_id, GLOBALS.collectionId);\n+ if (ENABLE_PLAYTHROUGH_RECORDING) {\n+ PlaythroughService.initSession(explorationId, version);\n+ }\n+ PlayerCorrectnessFeedbackEnabledService.init(\n+ returnDict.correctness_feedback_enabled);\n+ ExplorationEngineService.init(\n+ returnDict.exploration, returnDict.version,\n+ returnDict.preferred_audio_language_code,\n+ returnDict.auto_tts_enabled, _initializeDirectiveComponents);\n+ };\n+\n+ var _initializeDirectiveComponents = function(\n+ exploration, initHtml, newParams) {\n+ $scope.isLoggedIn = ExplorationEngineService.isLoggedIn();\n+ _nextFocusLabel = FocusManagerService.generateFocusLabel();\n+\n+ _addNewCard(\n+ exploration.initStateName,\n+ newParams,\n+ initHtml,\n+ ExplorationEngineService.getCurrentInteractionHtml(\n+ _nextFocusLabel));\n+ $rootScope.loadingMessage = '';\n+ $scope.hasFullyLoaded = true;\n+\n+ // If the exploration is embedded, use the exploration language\n+ // as site language. If the exploration language is not supported\n+ // as site language, English is used as default.\n+ var langCodes = constants.SUPPORTED_SITE_LANGUAGES.map(\n+ function(language) {\n+ return language.id;\n+ });\n+ if ($scope.isIframed) {\n+ var explorationLanguageCode = (\n+ ExplorationEngineService.getExplorationLanguageCode());\n+ if (langCodes.indexOf(explorationLanguageCode) !== -1) {\n+ $translate.use(explorationLanguageCode);\n+ } else {\n+ $translate.use('en');\n+ }\n+ }\n+ $scope.adjustPageHeight(false, null);\n+ $window.scrollTo(0, 0);\n+ FocusManagerService.setFocusIfOnDesktop(_nextFocusLabel);\n+\n+ // The timeout is needed in order to give the recipient of the\n+ // broadcast sufficient time to load.\n+ $timeout(function() {\n+ $rootScope.$broadcast(EVENT_NEW_CARD_OPENED);\n+ });\n+ };\n+\n $scope.initializePage = function() {\n hasInteractedAtLeastOnce = false;\n $scope.recommendedExplorationSummaries = null;\n-\n+ var explorationId = ContextService.getExplorationId();\n PlayerPositionService.init(_navigateToActiveCard);\n- ExplorationPlayerService.init(function(\n- exploration, initHtml, newParams) {\n- ExplorationPlayerStateService.setExploration(exploration);\n- $scope.isLoggedIn = ExplorationPlayerService.isLoggedIn();\n- _nextFocusLabel = FocusManagerService.generateFocusLabel();\n-\n- _addNewCard(\n- exploration.initStateName,\n- newParams,\n- initHtml,\n- ExplorationPlayerService.getInteractionHtml(\n- exploration.initStateName, _nextFocusLabel));\n- $rootScope.loadingMessage = '';\n- $scope.hasFullyLoaded = true;\n-\n- // If the exploration is embedded, use the exploration language\n- // as site language. If the exploration language is not supported\n- // as site language, English is used as default.\n- var langCodes = constants.SUPPORTED_SITE_LANGUAGES.map(\n- function(language) {\n- return language.id;\n+ PlayerTranscriptService.init();\n+ var version = GLOBALS.explorationVersion;\n+\n+ if (_editorPreviewMode) {\n+ EditableExplorationBackendApiService.fetchApplyDraftExploration(\n+ explorationId).then(function(returnDict) {\n+ ExplorationEngineService.init(\n+ returnDict, null, null, null, _initializeDirectiveComponents);\n+ PlayerCorrectnessFeedbackEnabledService.init(\n+ returnDict.correctness_feedback_enabled);\n+ NumberAttemptsService.reset();\n+ });\n+ } else {\n+ if (version) {\n+ ReadOnlyExplorationBackendApiService.loadExploration(\n+ explorationId, version).then(function(returnDict) {\n+ _initializeExplorationServices(returnDict);\n });\n- if ($scope.isIframed) {\n- var explorationLanguageCode = (\n- ExplorationPlayerService.getExplorationLanguageCode());\n- if (langCodes.indexOf(explorationLanguageCode) !== -1) {\n- $translate.use(explorationLanguageCode);\n- } else {\n- $translate.use('en');\n- }\n- }\n- $scope.adjustPageHeight(false, null);\n- $window.scrollTo(0, 0);\n- FocusManagerService.setFocusIfOnDesktop(_nextFocusLabel);\n-\n- // The timeout is needed in order to give the recipient of the\n- // broadcast sufficient time to load.\n- $timeout(function() {\n- $rootScope.$broadcast(EVENT_NEW_CARD_OPENED, {\n- stateName: exploration.initStateName\n+ } else {\n+ ReadOnlyExplorationBackendApiService.loadLatestExploration(\n+ explorationId).then(function(returnDict) {\n+ _initializeExplorationServices(returnDict);\n });\n- });\n- });\n+ }\n+ }\n };\n \n+ $rootScope.$on('playerStateChange', function(evt, newStateName) {\n+ // To restart the preloader for the new state if required.\n+ if (!_editorPreviewMode) {\n+ ImagePreloaderService.onStateChange(newStateName);\n+ }\n+ // Ensure the transition to a terminal state properly logs the end\n+ // of the exploration.\n+ if (\n+ !_editorPreviewMode &&\n+ ExplorationEngineService.isNextStateTerminal()) {\n+ StatsReportingService.recordExplorationCompleted(\n+ newStateName, LearnerParamsService.getAllParams());\n+\n+ // If the user is a guest, has completed this exploration within\n+ // the context of a collection, and the collection is whitelisted,\n+ // record their temporary progress.\n+ var collectionAllowsGuestProgress = (\n+ WHITELISTED_COLLECTION_IDS_FOR_SAVING_GUEST_PROGRESS.indexOf(\n+ GLOBALS.collectionId) !== -1);\n+ if (collectionAllowsGuestProgress && !_isLoggedIn) {\n+ GuestCollectionProgressService.\n+ recordExplorationCompletedInCollection(\n+ GLOBALS.collectionId, _explorationId);\n+ }\n+\n+ // For single state explorations, when the exploration reaches the\n+ // terminal state and explorationActuallyStarted is false, record\n+ // exploration actual start event.\n+ if (!explorationActuallyStarted) {\n+ StatsReportingService.recordExplorationActuallyStarted(\n+ newStateName);\n+ explorationActuallyStarted = true;\n+ }\n+ }\n+ });\n+\n $scope.submitAnswer = function(answer, interactionRulesService) {\n // Safety check to prevent double submissions from occurring.\n if ($scope.answerIsBeingProcessed ||\n !$scope.isCurrentCardAtEndOfTranscript() ||\n- $scope.activeCard.destStateName) {\n+ $scope.activeCard.getDestStateName()) {\n return;\n }\n \n@@ -610,22 +710,41 @@ oppia.directive('conversationSkin', [\n $scope.answerIsBeingProcessed = true;\n hasInteractedAtLeastOnce = true;\n \n- var _oldStateName = PlayerTranscriptService.getLastCard().stateName;\n PlayerTranscriptService.addNewInput(answer, false);\n \n var timeAtServerCall = new Date().getTime();\n PlayerPositionService.recordAnswerSubmission();\n \n- $scope.answerIsCorrect = ExplorationPlayerService.submitAnswer(\n+ $scope.answerIsCorrect = ExplorationEngineService.submitAnswer(\n answer, interactionRulesService, function(\n newStateName, refreshInteraction, feedbackHtml,\n feedbackAudioTranslations, contentHtml, newParams,\n- refresherExplorationId, missingPrerequisiteSkillId) {\n+ refresherExplorationId, missingPrerequisiteSkillId,\n+ remainOnCurrentCard, wasOldStateInitial, isFirstHit) {\n+ if (!_editorPreviewMode) {\n+ var oldStateName =\n+ ExplorationEngineService.getCurrentStateName();\n+ if (!remainOnCurrentCard) {\n+ StatsReportingService.recordStateTransition(\n+ oldStateName, newStateName, answer,\n+ LearnerParamsService.getAllParams(), isFirstHit);\n+\n+ StatsReportingService.recordStateCompleted(oldStateName);\n+ }\n+ if (ExplorationEngineService.isNextStateTerminal()) {\n+ StatsReportingService.recordStateCompleted(newStateName);\n+ }\n+ if (wasOldStateInitial && !explorationActuallyStarted) {\n+ StatsReportingService.recordExplorationActuallyStarted(\n+ oldStateName);\n+ explorationActuallyStarted = true;\n+ }\n+ }\n+ $rootScope.$broadcast('playerStateChange', newStateName);\n // Do not wait if the interaction is supplemental -- there's\n // already a delay bringing in the help card.\n var millisecsLeftToWait = (\n- !ExplorationPlayerStateService.isInteractionInline(\n- _oldStateName) ? 1.0 :\n+ !ExplorationEngineService.isInteractionInline() ? 1.0 :\n Math.max(MIN_CARD_LOADING_DELAY_MSEC - (\n new Date().getTime() - timeAtServerCall),\n 1.0));\n@@ -633,7 +752,8 @@ oppia.directive('conversationSkin', [\n $timeout(function() {\n $scope.$broadcast('oppiaFeedbackAvailable');\n var pairs = (\n- PlayerTranscriptService.getLastCard().inputResponsePairs);\n+ PlayerTranscriptService.getLastCard().\n+ getInputResponsePairs());\n var lastAnswerFeedbackPair = pairs[pairs.length - 1];\n $scope.$broadcast(EVENT_AUTOPLAY_AUDIO, {\n audioTranslations: feedbackAudioTranslations,\n@@ -641,15 +761,14 @@ oppia.directive('conversationSkin', [\n componentName: COMPONENT_NAME_FEEDBACK\n });\n \n- if (_oldStateName === newStateName) {\n+ if (remainOnCurrentCard) {\n // Stay on the same card.\n HintsAndSolutionManagerService.recordWrongAnswer();\n \n PlayerTranscriptService.addNewResponse(feedbackHtml);\n var helpCardAvailable = false;\n if (feedbackHtml &&\n- !ExplorationPlayerStateService.isInteractionInline(\n- $scope.activeCard.stateName)) {\n+ !ExplorationEngineService.isInteractionInline()) {\n helpCardAvailable = true;\n }\n \n@@ -660,7 +779,7 @@ oppia.directive('conversationSkin', [\n });\n }\n if (missingPrerequisiteSkillId) {\n- $scope.activeCard.leadsToConceptCard = true;\n+ $scope.activeCard.setLeadsToConceptCard(true);\n ConceptCardBackendApiService.fetchConceptCard(\n missingPrerequisiteSkillId\n ).then(function(conceptCardBackendDict) {\n@@ -681,9 +800,8 @@ oppia.directive('conversationSkin', [\n _nextFocusLabel =\n FocusManagerService.generateFocusLabel();\n PlayerTranscriptService.updateLatestInteractionHtml(\n- ExplorationPlayerService.getInteractionHtml(\n- newStateName, _nextFocusLabel) +\n- ExplorationPlayerService.getRandomSuffix());\n+ ExplorationEngineService.getCurrentInteractionHtml(\n+ _nextFocusLabel) + _getRandomSuffix());\n }\n \n $scope.redirectToRefresherExplorationConfirmed = false;\n@@ -693,8 +811,7 @@ oppia.directive('conversationSkin', [\n // properly recorded.\n var confirmRedirection = function() {\n $scope.redirectToRefresherExplorationConfirmed = true;\n- ExplorationPlayerService.recordLeaveForRefresherExp(\n- newStateName, refresherExplorationId);\n+ _recordLeaveForRefresherExp(refresherExplorationId);\n };\n $http.get(EXPLORATION_SUMMARY_DATA_URL_TEMPLATE, {\n params: {\n@@ -726,19 +843,18 @@ oppia.directive('conversationSkin', [\n $scope.upcomingStateName = newStateName;\n $scope.upcomingParams = newParams;\n $scope.upcomingContentHtml = (\n- contentHtml + ExplorationPlayerService.getRandomSuffix());\n+ contentHtml + _getRandomSuffix());\n \n var _isNextInteractionInline = (\n- ExplorationPlayerStateService.isInteractionInline(\n- newStateName));\n+ ExplorationEngineService.isNextInteractionInline());\n $scope.upcomingInlineInteractionHtml = (\n _isNextInteractionInline ?\n- ExplorationPlayerService.getInteractionHtml(\n- newStateName, _nextFocusLabel\n- ) + ExplorationPlayerService.getRandomSuffix() : '');\n+ ExplorationEngineService.getNextInteractionHtml(\n+ _nextFocusLabel\n+ ) + _getRandomSuffix() : '');\n $scope.upcomingInteractionInstructions = (\n- ExplorationPlayerStateService.getInteractionInstructions(\n- $scope.upcomingStateName));\n+ ExplorationEngineService.getNextInteractionInstructions()\n+ );\n \n if (feedbackHtml) {\n var stateHistory =\n@@ -747,8 +863,7 @@ oppia.directive('conversationSkin', [\n $scope.pendingCardWasSeenBefore = true;\n }\n PlayerTranscriptService.addNewResponse(feedbackHtml);\n- if (!ExplorationPlayerStateService.isInteractionInline(\n- $scope.activeCard.stateName)) {\n+ if (!ExplorationEngineService.isInteractionInline()) {\n $scope.$broadcast('helpCardAvailable', {\n helpCardHtml: feedbackHtml,\n hasContinueButton: true\n@@ -765,10 +880,8 @@ oppia.directive('conversationSkin', [\n // to be set to false before it proceeds to next card.\n $scope.answerIsCorrect = false;\n $scope.showPendingCard(\n- newStateName,\n- newParams,\n- contentHtml +\n- ExplorationPlayerService.getRandomSuffix());\n+ newStateName, newParams,\n+ contentHtml + _getRandomSuffix());\n }\n }\n $scope.answerIsBeingProcessed = false;\n@@ -780,15 +893,16 @@ oppia.directive('conversationSkin', [\n $scope.showPendingCard = function(\n newStateName, newParams, newContentHtml) {\n $scope.startCardChangeAnimation = true;\n+ ExplorationEngineService.recordNewCardAdded();\n \n $timeout(function() {\n var newInteractionHtml =\n- ExplorationPlayerService.getInteractionHtml(\n- newStateName, _nextFocusLabel);\n+ ExplorationEngineService.getNextInteractionHtml(\n+ _nextFocusLabel);\n // Note that newInteractionHtml may be null.\n if (newInteractionHtml) {\n newInteractionHtml +=\n- ExplorationPlayerService.getRandomSuffix();\n+ _getRandomSuffix();\n }\n \n _addNewCard(\n@@ -814,22 +928,20 @@ oppia.directive('conversationSkin', [\n TIME_FADEOUT_MSEC + TIME_HEIGHT_CHANGE_MSEC + TIME_FADEIN_MSEC +\n TIME_PADDING_MSEC);\n \n- $rootScope.$broadcast(EVENT_NEW_CARD_OPENED, {\n- stateName: newStateName\n- });\n+ $rootScope.$broadcast(EVENT_NEW_CARD_OPENED);\n };\n \n $scope.showUpcomingCard = function() {\n var currentIndex = PlayerPositionService.getActiveCardIndex();\n var conceptCardIsBeingShown =\n- ExplorationPlayerStateService.isStateShowingConceptCard(\n- $scope.activeCard.stateName);\n+ ExplorationEngineService.isStateShowingConceptCard();\n if (conceptCardIsBeingShown &&\n PlayerTranscriptService.isLastCard(currentIndex)) {\n $scope.returnToExplorationAfterConceptCard();\n return;\n }\n- if ($scope.activeCard.leadsToConceptCard) {\n+ if ($scope.activeCard.getLeadsToConceptCard()) {\n+ ExplorationEngineService.recordNewCardAdded();\n _addNewCard(\n null, null, $scope.conceptCard.getExplanation(), null);\n return;\n@@ -894,8 +1006,7 @@ oppia.directive('conversationSkin', [\n return;\n }\n if (hasInteractedAtLeastOnce && !$scope.isInPreviewMode &&\n- !ExplorationPlayerStateService.isStateTerminal(\n- PlayerTranscriptService.getLastCard().stateName)) {\n+ !ExplorationEngineService.isCurrentStateTerminal()) {\n StatsReportingService.recordMaybeLeaveEvent(\n PlayerTranscriptService.getLastStateName(),\n LearnerParamsService.getAllParams());\n@@ -907,8 +1018,10 @@ oppia.directive('conversationSkin', [\n }\n });\n \n+ // Returns whether the screen is wide enough to fit two\n+ // cards (e.g., the tutor and supplemental cards) side-by-side.\n $scope.canWindowShowTwoCards = function() {\n- return ExplorationPlayerService.canWindowShowTwoCards();\n+ return WindowDimensionsService.getWidth() > TWO_CARD_THRESHOLD_PX;\n };\n \n $window.onresize = function() {\ndiff --git a/core/templates/dev/head/pages/exploration_player/PlayerServices.js b/core/templates/dev/head/pages/exploration_player/ExplorationEngineService.js\nsimilarity index 59%\nrename from core/templates/dev/head/pages/exploration_player/PlayerServices.js\nrename to core/templates/dev/head/pages/exploration_player/ExplorationEngineService.js\nindex bc7b6eba64d6e..ed7ee97be8362 100644\n--- a/core/templates/dev/head/pages/exploration_player/PlayerServices.js\n+++ b/core/templates/dev/head/pages/exploration_player/ExplorationEngineService.js\n@@ -24,7 +24,7 @@ oppia.constant('INTERACTION_SPECS', GLOBALS.INTERACTION_SPECS);\n // The URL determines which of these it is. Some methods may need to be\n // implemented differently depending on whether the skin is being played\n // in the learner view, or whether it is being previewed in the editor view.\n-oppia.factory('ExplorationPlayerService', [\n+oppia.factory('ExplorationEngineService', [\n '$http', '$rootScope', '$q', 'AlertsService', 'AnswerClassificationService',\n 'AudioPreloaderService', 'AudioTranslationLanguageService',\n 'EditableExplorationBackendApiService', 'ContextService',\n@@ -32,11 +32,11 @@ oppia.factory('ExplorationPlayerService', [\n 'ExpressionInterpolationService', 'GuestCollectionProgressService',\n 'ImagePreloaderService', 'LanguageUtilService', 'LearnerParamsService',\n 'NumberAttemptsService', 'PlayerCorrectnessFeedbackEnabledService',\n- 'PlayerTranscriptService', 'PlaythroughService',\n+ 'PlayerTranscriptService', 'PlaythroughService', 'INTERACTION_SPECS',\n 'ReadOnlyExplorationBackendApiService', 'StateClassifierMappingService',\n 'StatsReportingService', 'UrlInterpolationService', 'UserService',\n 'WindowDimensionsService', 'DEFAULT_PROFILE_IMAGE_PATH',\n- 'ENABLE_PLAYTHROUGH_RECORDING', 'PAGE_CONTEXT', 'TWO_CARD_THRESHOLD_PX',\n+ 'ENABLE_PLAYTHROUGH_RECORDING', 'PAGE_CONTEXT',\n 'WHITELISTED_COLLECTION_IDS_FOR_SAVING_GUEST_PROGRESS',\n function(\n $http, $rootScope, $q, AlertsService, AnswerClassificationService,\n@@ -46,15 +46,14 @@ oppia.factory('ExplorationPlayerService', [\n ExpressionInterpolationService, GuestCollectionProgressService,\n ImagePreloaderService, LanguageUtilService, LearnerParamsService,\n NumberAttemptsService, PlayerCorrectnessFeedbackEnabledService,\n- PlayerTranscriptService, PlaythroughService,\n+ PlayerTranscriptService, PlaythroughService, INTERACTION_SPECS,\n ReadOnlyExplorationBackendApiService, StateClassifierMappingService,\n StatsReportingService, UrlInterpolationService, UserService,\n WindowDimensionsService, DEFAULT_PROFILE_IMAGE_PATH,\n- ENABLE_PLAYTHROUGH_RECORDING, PAGE_CONTEXT, TWO_CARD_THRESHOLD_PX,\n+ ENABLE_PLAYTHROUGH_RECORDING, PAGE_CONTEXT,\n WHITELISTED_COLLECTION_IDS_FOR_SAVING_GUEST_PROGRESS) {\n var _explorationId = ContextService.getExplorationId();\n- var _editorPreviewMode = (\n- ContextService.getPageContext() === PAGE_CONTEXT.EXPLORATION_EDITOR);\n+ var _editorPreviewMode = ContextService.isInExplorationEditorPage();\n var _isLoggedIn = GLOBALS.userIsLoggedIn;\n var answerIsBeingProcessed = false;\n \n@@ -63,8 +62,8 @@ oppia.factory('ExplorationPlayerService', [\n // This list may contain duplicates. A state name is added to it each time\n // the learner moves to a new card.\n var visitedStateNames = [];\n-\n- var explorationActuallyStarted = false;\n+ var currentStateName = null;\n+ var nextStateName = null;\n \n // Param changes to be used ONLY in editor preview mode.\n var manualParamChanges = null;\n@@ -135,9 +134,9 @@ oppia.factory('ExplorationPlayerService', [\n if (!_editorPreviewMode) {\n StatsReportingService.recordExplorationStarted(\n exploration.initStateName, newParams);\n- visitedStateNames.push(exploration.initStateName);\n }\n-\n+ currentStateName = exploration.initStateName;\n+ nextStateName = exploration.initStateName;\n $rootScope.$broadcast('playerStateChange', initialState.name);\n successCallback(exploration, questionHtml, newParams);\n };\n@@ -159,39 +158,6 @@ oppia.factory('ExplorationPlayerService', [\n LearnerParamsService.init(startingParams);\n };\n \n- $rootScope.$on('playerStateChange', function(evt, newStateName) {\n- // To restart the preloader for the new state if required.\n- if (!_editorPreviewMode) {\n- ImagePreloaderService.onStateChange(newStateName);\n- }\n- // Ensure the transition to a terminal state properly logs the end of the\n- // exploration.\n- if (!_editorPreviewMode && exploration.isStateTerminal(newStateName)) {\n- StatsReportingService.recordExplorationCompleted(\n- newStateName, LearnerParamsService.getAllParams());\n-\n- // If the user is a guest, has completed this exploration within the\n- // context of a collection, and the collection is whitelisted, record\n- // their temporary progress.\n- var collectionAllowsGuestProgress = (\n- WHITELISTED_COLLECTION_IDS_FOR_SAVING_GUEST_PROGRESS.indexOf(\n- GLOBALS.collectionId) !== -1);\n- if (collectionAllowsGuestProgress && !_isLoggedIn) {\n- GuestCollectionProgressService.recordExplorationCompletedInCollection(\n- GLOBALS.collectionId, _explorationId);\n- }\n-\n- // For single state explorations, when the exploration reaches the\n- // terminal state and explorationActuallyStarted is false, record\n- // exploration actual start event.\n- if (!explorationActuallyStarted) {\n- StatsReportingService.recordExplorationActuallyStarted(\n- newStateName);\n- explorationActuallyStarted = true;\n- }\n- }\n- });\n-\n return {\n // This should only be used in editor preview mode. It sets the\n // exploration data from what's currently specified in the editor, and\n@@ -219,74 +185,53 @@ oppia.factory('ExplorationPlayerService', [\n * - initHtml {string}, an HTML string representing the content of the\n * first state.\n */\n- init: function(successCallback) {\n+ init: function(\n+ explorationDict, explorationVersion, preferredAudioLanguage,\n+ autoTtsEnabled, successCallback) {\n answerIsBeingProcessed = false;\n- PlayerTranscriptService.init();\n-\n if (_editorPreviewMode) {\n- EditableExplorationBackendApiService.fetchApplyDraftExploration(\n- _explorationId).then(function(data) {\n- exploration = ExplorationObjectFactory.createFromBackendDict(\n- data);\n- exploration.setInitialStateName(initStateName);\n- initParams(manualParamChanges);\n- AudioTranslationLanguageService.init(\n- exploration.getAllAudioLanguageCodes(),\n- null,\n- exploration.getLanguageCode(),\n- data.auto_tts_enabled);\n- AudioPreloaderService.init(exploration);\n- AudioPreloaderService.kickOffAudioPreloader(initStateName);\n- PlayerCorrectnessFeedbackEnabledService.init(\n- data.correctness_feedback_enabled);\n- _loadInitialState(successCallback);\n- NumberAttemptsService.reset();\n- });\n+ exploration = ExplorationObjectFactory.createFromBackendDict(\n+ explorationDict);\n+ exploration.setInitialStateName(initStateName);\n+ visitedStateNames = [exploration.getInitialState().name];\n+ initParams(manualParamChanges);\n+ AudioTranslationLanguageService.init(\n+ exploration.getAllAudioLanguageCodes(),\n+ null,\n+ exploration.getLanguageCode(),\n+ explorationDict.auto_tts_enabled);\n+ AudioPreloaderService.init(exploration);\n+ AudioPreloaderService.kickOffAudioPreloader(initStateName);\n+ _loadInitialState(successCallback);\n } else {\n- var loadedExploration = null;\n- if (version) {\n- loadedExploration = (\n- ReadOnlyExplorationBackendApiService.loadExploration(\n- _explorationId, version));\n- } else {\n- loadedExploration = (\n- ReadOnlyExplorationBackendApiService.loadLatestExploration(\n- _explorationId));\n- }\n- loadedExploration.then(function(data) {\n- exploration = ExplorationObjectFactory.createFromBackendDict(\n- data.exploration);\n- version = data.version;\n- initParams([]);\n-\n- StateClassifierMappingService.init(data.state_classifier_mapping);\n-\n- StatsReportingService.initSession(\n- _explorationId, exploration.title,\n- version, data.session_id, GLOBALS.collectionId);\n-\n- if (ENABLE_PLAYTHROUGH_RECORDING) {\n- PlaythroughService.initSession(_explorationId, version);\n- }\n-\n- AudioTranslationLanguageService.init(\n- exploration.getAllAudioLanguageCodes(),\n- data.preferred_audio_language_code,\n- exploration.getLanguageCode(),\n- data.auto_tts_enabled);\n- AudioPreloaderService.init(exploration);\n- AudioPreloaderService.kickOffAudioPreloader(\n- exploration.getInitialState().name);\n- ImagePreloaderService.init(exploration);\n- ImagePreloaderService.kickOffImagePreloader(\n- exploration.getInitialState().name);\n- PlayerCorrectnessFeedbackEnabledService.init(\n- data.correctness_feedback_enabled);\n- _loadInitialState(successCallback);\n- $rootScope.$broadcast('playerServiceInitialized');\n- });\n+ exploration = ExplorationObjectFactory.createFromBackendDict(\n+ explorationDict);\n+ visitedStateNames.push(exploration.getInitialState().name);\n+ version = explorationVersion;\n+ initParams([]);\n+ AudioTranslationLanguageService.init(\n+ exploration.getAllAudioLanguageCodes(),\n+ preferredAudioLanguage,\n+ exploration.getLanguageCode(),\n+ autoTtsEnabled);\n+ AudioPreloaderService.init(exploration);\n+ AudioPreloaderService.kickOffAudioPreloader(\n+ exploration.getInitialState().name);\n+ ImagePreloaderService.init(exploration);\n+ ImagePreloaderService.kickOffImagePreloader(\n+ exploration.getInitialState().name);\n+ _loadInitialState(successCallback);\n }\n },\n+ setCurrentStateIndex: function(index) {\n+ currentStateName = angular.copy(visitedStateNames[index]);\n+ },\n+ getCurrentStateName: function() {\n+ return currentStateName;\n+ },\n+ recordNewCardAdded: function() {\n+ currentStateName = nextStateName;\n+ },\n getExplorationId: function() {\n return _explorationId;\n },\n@@ -299,56 +244,93 @@ oppia.factory('ExplorationPlayerService', [\n getExplorationLanguageCode: function() {\n return exploration.languageCode;\n },\n- getStateContentHtml: function(stateName) {\n- return exploration.getUninterpolatedContentHtml(stateName);\n+ getStateContentHtml: function() {\n+ return exploration.getUninterpolatedContentHtml(currentStateName);\n },\n- getStateContentAudioTranslations: function(stateName) {\n- return exploration.getAudioTranslations(stateName);\n+ getStateContentAudioTranslations: function() {\n+ return exploration.getAudioTranslations(currentStateName);\n },\n getStateContentAudioTranslation: function(stateName, languageCode) {\n return exploration.getAudioTranslation(stateName, languageCode);\n },\n- isContentAudioTranslationAvailable: function(stateName) {\n+ isContentAudioTranslationAvailable: function() {\n return Object.keys(\n- exploration.getAudioTranslations(stateName)).length > 0 ||\n+ exploration.getAudioTranslations(currentStateName)).length > 0 ||\n AudioTranslationLanguageService.isAutogeneratedAudioAllowed();\n },\n- getInteractionHtml: function(stateName, labelForFocusTarget) {\n- var interactionId = exploration.getInteractionId(stateName);\n+ getCurrentInteractionHtml: function(labelForFocusTarget) {\n+ var interactionId = exploration.getInteractionId(currentStateName);\n if (!interactionId) {\n return null;\n }\n \n return ExplorationHtmlFormatterService.getInteractionHtml(\n interactionId,\n- exploration.getInteractionCustomizationArgs(stateName),\n+ exploration.getInteractionCustomizationArgs(currentStateName),\n true,\n labelForFocusTarget);\n },\n- getInteraction: function(stateName) {\n- return exploration.getInteraction(stateName);\n- },\n- getRandomSuffix: function() {\n- // This is a bit of a hack. When a refresh to a $scope variable happens,\n- // AngularJS compares the new value of the variable to its previous\n- // value. If they are the same, then the variable is not updated.\n- // Appending a random suffix makes the new value different from the\n- // previous one, and thus indirectly forces a refresh.\n- var randomSuffix = '';\n- var N = Math.round(Math.random() * 1000);\n- for (var i = 0; i < N; i++) {\n- randomSuffix += ' ';\n+ getNextInteractionHtml: function(labelForFocusTarget) {\n+ var interactionId = exploration.getInteractionId(nextStateName);\n+\n+ return ExplorationHtmlFormatterService.getInteractionHtml(\n+ interactionId,\n+ exploration.getInteractionCustomizationArgs(nextStateName),\n+ true,\n+ labelForFocusTarget);\n+ },\n+ getCurrentInteraction: function() {\n+ return exploration.getInteraction(currentStateName);\n+ },\n+ isInteractionInline: function() {\n+ if (currentStateName === null) {\n+ return true;\n }\n- return randomSuffix;\n+ return exploration.isInteractionInline(currentStateName);\n+ },\n+ isNextInteractionInline: function() {\n+ return exploration.isInteractionInline(nextStateName);\n+ },\n+ getCurrentInteractionInstructions: function() {\n+ return exploration.getInteractionInstructions(currentStateName);\n },\n- getHints: function(stateName) {\n- return exploration.getInteraction(stateName).hints;\n+ getNextInteractionInstructions: function() {\n+ return exploration.getInteractionInstructions(nextStateName);\n },\n- getSolution: function(stateName) {\n- return exploration.getInteraction(stateName).solution;\n+ isCurrentStateTerminal: function() {\n+ return exploration.isStateTerminal(currentStateName);\n },\n- getContentIdsToAudioTranslations: function(stateName) {\n- return exploration.getState(stateName).contentIdsToAudioTranslations;\n+ isNextStateTerminal: function() {\n+ return exploration.isStateTerminal(nextStateName);\n+ },\n+ isStateShowingConceptCard: function() {\n+ if (currentStateName === null) {\n+ return true;\n+ }\n+ return false;\n+ },\n+ getAuthorRecommendedExpIds: function() {\n+ return exploration.getAuthorRecommendedExpIds(currentStateName);\n+ },\n+ getLanguageCode: function() {\n+ return exploration.getLanguageCode();\n+ },\n+ getHints: function() {\n+ return exploration.getInteraction(currentStateName).hints;\n+ },\n+ doesInteractionSupportHints: function() {\n+ return (\n+ !INTERACTION_SPECS[\n+ exploration.getInteraction(currentStateName).id].is_terminal &&\n+ !INTERACTION_SPECS[\n+ exploration.getInteraction(currentStateName).id].is_linear);\n+ },\n+ getSolution: function() {\n+ return exploration.getInteraction(currentStateName).solution;\n+ },\n+ getContentIdsToAudioTranslations: function() {\n+ return (\n+ exploration.getState(currentStateName).contentIdsToAudioTranslations);\n },\n isLoggedIn: function() {\n return _isLoggedIn;\n@@ -402,7 +384,11 @@ oppia.factory('ExplorationPlayerService', [\n var refresherExplorationId = outcome.refresherExplorationId;\n var missingPrerequisiteSkillId = outcome.missingPrerequisiteSkillId;\n var newState = exploration.getState(newStateName);\n-\n+ var isFirstHit = Boolean(visitedStateNames.indexOf(\n+ newStateName) === -1);\n+ if (oldStateName !== newStateName) {\n+ visitedStateNames.push(newStateName);\n+ }\n // Compute the data for the next state.\n var oldParams = LearnerParamsService.getAllParams();\n oldParams.answer = answer;\n@@ -441,74 +427,22 @@ oppia.factory('ExplorationPlayerService', [\n \n answerIsBeingProcessed = false;\n \n- oldStateName = PlayerTranscriptService.getLastStateName();\n var refreshInteraction = (\n oldStateName !== newStateName ||\n exploration.isInteractionInline(oldStateName));\n-\n- if (!_editorPreviewMode) {\n- var isFirstHit = Boolean(visitedStateNames.indexOf(\n- newStateName) === -1);\n- if (newStateName !== oldStateName) {\n- StatsReportingService.recordStateTransition(\n- oldStateName, newStateName, answer,\n- LearnerParamsService.getAllParams(), isFirstHit);\n-\n- StatsReportingService.recordStateCompleted(oldStateName);\n- visitedStateNames.push(newStateName);\n-\n- if (oldStateName === exploration.initStateName && (\n- !explorationActuallyStarted)) {\n- StatsReportingService.recordExplorationActuallyStarted(\n- oldStateName);\n- explorationActuallyStarted = true;\n- }\n- }\n- if (exploration.isStateTerminal(newStateName)) {\n- StatsReportingService.recordStateCompleted(newStateName);\n- }\n- }\n+ nextStateName = newStateName;\n+ var onSameCard = (oldStateName === newStateName);\n \n $rootScope.$broadcast('updateActiveStateIfInEditor', newStateName);\n- $rootScope.$broadcast('playerStateChange', newStateName);\n successCallback(\n newStateName, refreshInteraction, feedbackHtml,\n feedbackAudioTranslations, questionHtml, newParams,\n- refresherExplorationId, missingPrerequisiteSkillId);\n+ refresherExplorationId, missingPrerequisiteSkillId, onSameCard,\n+ (oldStateName === exploration.initStateName), isFirstHit);\n return answerIsCorrect;\n },\n isAnswerBeingProcessed: function() {\n return answerIsBeingProcessed;\n- },\n- // Returns a promise for the user profile picture, or the default image if\n- // user is not logged in or has not uploaded a profile picture, or the\n- // player is in preview mode.\n- getUserProfileImageAsync: function() {\n- if (!_editorPreviewMode) {\n- return UserService.getProfileImageDataUrlAsync()\n- .then(function(dataUrl) {\n- return dataUrl;\n- });\n- } else {\n- return $q.resolve(UrlInterpolationService.getStaticImageUrl(\n- DEFAULT_PROFILE_IMAGE_PATH));\n- }\n- },\n- recordSolutionHit: function(stateName) {\n- if (!_editorPreviewMode) {\n- StatsReportingService.recordSolutionHit(stateName);\n- }\n- },\n- recordLeaveForRefresherExp: function(stateName, refresherExpId) {\n- if (!_editorPreviewMode) {\n- StatsReportingService.recordLeaveForRefresherExp(\n- stateName, refresherExpId);\n- }\n- },\n- // Returns whether the screen is wide enough to fit two\n- // cards (e.g., the tutor and supplemental cards) side-by-side.\n- canWindowShowTwoCards: function() {\n- return WindowDimensionsService.getWidth() > TWO_CARD_THRESHOLD_PX;\n }\n };\n }\ndiff --git a/core/templates/dev/head/pages/exploration_player/ExplorationPlayerStateService.js b/core/templates/dev/head/pages/exploration_player/ExplorationPlayerStateService.js\ndeleted file mode 100644\nindex 617372e507444..0000000000000\n--- a/core/templates/dev/head/pages/exploration_player/ExplorationPlayerStateService.js\n+++ /dev/null\n@@ -1,57 +0,0 @@\n-// Copyright 2016 The Oppia Authors. All Rights Reserved.\n-//\n-// Licensed under the Apache License, Version 2.0 (the \"License\");\n-// you may not use this file except in compliance with the License.\n-// You may obtain a copy of the License at\n-//\n-// http://www.apache.org/licenses/LICENSE-2.0\n-//\n-// Unless required by applicable law or agreed to in writing, software\n-// distributed under the License is distributed on an \"AS-IS\" BASIS,\n-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n-// See the License for the specific language governing permissions and\n-// limitations under the License.\n-\n-/**\n- * @fileoverview Service that maintains state of the current exploration.\n- */\n-\n-oppia.factory('ExplorationPlayerStateService', [function() {\n- var exploration = null;\n- return {\n- setExploration: function(newExploration) {\n- exploration = newExploration;\n- },\n-\n- getExploration: function() {\n- return exploration;\n- },\n-\n- isInteractionInline: function(stateName) {\n- return exploration.isInteractionInline(stateName);\n- },\n-\n- getInteractionInstructions: function(stateName) {\n- return exploration.getInteractionInstructions(stateName);\n- },\n-\n- isStateTerminal: function(stateName) {\n- return exploration.isStateTerminal(stateName);\n- },\n-\n- isStateShowingConceptCard: function(stateName) {\n- if (stateName === null) {\n- return true;\n- }\n- return false;\n- },\n-\n- getAuthorRecommendedExpIds: function(stateName) {\n- return exploration.getAuthorRecommendedExpIds(stateName);\n- },\n-\n- getLanguageCode: function() {\n- return exploration.getLanguageCode();\n- },\n- };\n-}]);\ndiff --git a/core/templates/dev/head/pages/exploration_player/FeedbackPopupDirective.js b/core/templates/dev/head/pages/exploration_player/FeedbackPopupDirective.js\nindex 73e87ebfd0135..7181e80cb5f07 100644\n--- a/core/templates/dev/head/pages/exploration_player/FeedbackPopupDirective.js\n+++ b/core/templates/dev/head/pages/exploration_player/FeedbackPopupDirective.js\n@@ -27,8 +27,8 @@\n // The state-name argument is optional. If it is not provided, the feedback is\n // assumed to apply to the exploration as a whole.\n oppia.directive('feedbackPopup', [\n- 'ExplorationPlayerService', 'UrlInterpolationService',\n- function(ExplorationPlayerService, UrlInterpolationService) {\n+ 'ExplorationEngineService', 'UrlInterpolationService',\n+ function(ExplorationEngineService, UrlInterpolationService) {\n return {\n restrict: 'E',\n scope: {},\n@@ -46,7 +46,7 @@ oppia.directive('feedbackPopup', [\n FEEDBACK_SUBJECT_MAX_CHAR_LIMIT) {\n $scope.feedbackText = '';\n $scope.isSubmitterAnonymized = false;\n- $scope.isLoggedIn = ExplorationPlayerService.isLoggedIn();\n+ $scope.isLoggedIn = ExplorationEngineService.isLoggedIn();\n $scope.feedbackSubmitted = false;\n // We generate a random id since there may be multiple popover\n // elements on the same page.\n@@ -61,7 +61,7 @@ oppia.directive('feedbackPopup', [\n \n var feedbackUrl = (\n '/explorehandler/give_feedback/' +\n- ExplorationPlayerService.getExplorationId());\n+ ExplorationEngineService.getExplorationId());\n \n var getTriggerElt = function() {\n // Find the popover trigger node (the one with a popover-template\ndiff --git a/core/templates/dev/head/pages/exploration_player/HintAndSolutionModalService.js b/core/templates/dev/head/pages/exploration_player/HintAndSolutionModalService.js\nindex fc94432c4c60c..3dd349d6e0978 100644\n--- a/core/templates/dev/head/pages/exploration_player/HintAndSolutionModalService.js\n+++ b/core/templates/dev/head/pages/exploration_player/HintAndSolutionModalService.js\n@@ -18,13 +18,13 @@\n \n oppia.factory('HintAndSolutionModalService', [\n '$uibModal', 'UrlInterpolationService', 'HintsAndSolutionManagerService',\n- 'ExplorationPlayerService', 'PlayerPositionService',\n+ 'ExplorationEngineService', 'PlayerPositionService',\n 'AudioTranslationManagerService', 'AudioPlayerService',\n 'EVENT_AUTOPLAY_AUDIO', 'COMPONENT_NAME_HINT',\n 'COMPONENT_NAME_SOLUTION', 'AutogeneratedAudioPlayerService',\n function(\n $uibModal, UrlInterpolationService, HintsAndSolutionManagerService,\n- ExplorationPlayerService, PlayerPositionService,\n+ ExplorationEngineService, PlayerPositionService,\n AudioTranslationManagerService, AudioPlayerService,\n EVENT_AUTOPLAY_AUDIO, COMPONENT_NAME_HINT,\n COMPONENT_NAME_SOLUTION, AutogeneratedAudioPlayerService) {\n@@ -40,8 +40,7 @@ oppia.factory('HintAndSolutionModalService', [\n $scope.isHint = true;\n $scope.hint = HintsAndSolutionManagerService.displayHint(index);\n var contentIdsToAudioTranslations =\n- ExplorationPlayerService.getContentIdsToAudioTranslations(\n- PlayerPositionService.getCurrentStateName());\n+ ExplorationEngineService.getContentIdsToAudioTranslations();\n var hintContentId = $scope.hint.getContentId();\n AudioTranslationManagerService.setSecondaryAudioTranslations(\n contentIdsToAudioTranslations.getBindableAudioTranslations(\n@@ -70,15 +69,14 @@ oppia.factory('HintAndSolutionModalService', [\n var solution = HintsAndSolutionManagerService.displaySolution();\n var solutionContentId = solution.explanation.getContentId();\n var contentIdsToAudioTranslations =\n- ExplorationPlayerService.getContentIdsToAudioTranslations(\n- PlayerPositionService.getCurrentStateName());\n+ ExplorationEngineService.getContentIdsToAudioTranslations();\n AudioTranslationManagerService.setSecondaryAudioTranslations(\n contentIdsToAudioTranslations.getBindableAudioTranslations(\n solutionContentId), solution.explanation.getHtml(),\n COMPONENT_NAME_SOLUTION);\n $rootScope.$broadcast(EVENT_AUTOPLAY_AUDIO);\n- var interaction = ExplorationPlayerService.getInteraction(\n- PlayerPositionService.getCurrentStateName());\n+ var interaction =\n+ ExplorationEngineService.getCurrentInteraction();\n $scope.shortAnswerHtml = solution.getOppiaShortAnswerResponseHtml(\n interaction);\n $scope.solutionExplanationHtml =\ndiff --git a/core/templates/dev/head/pages/exploration_player/HintsAndSolutionManagerService.js b/core/templates/dev/head/pages/exploration_player/HintsAndSolutionManagerService.js\nindex 26690e18cb4e0..dddb8594ac039 100644\n--- a/core/templates/dev/head/pages/exploration_player/HintsAndSolutionManagerService.js\n+++ b/core/templates/dev/head/pages/exploration_player/HintsAndSolutionManagerService.js\n@@ -17,12 +17,12 @@\n */\n \n oppia.factory('HintsAndSolutionManagerService', [\n- '$timeout', '$rootScope', 'PlayerTranscriptService',\n+ '$timeout', '$rootScope',\n 'DELAY_FOR_HINT_FEEDBACK_MSEC', 'HINT_REQUEST_STRING_I18N_IDS',\n 'WAIT_FOR_FIRST_HINT_MSEC', 'WAIT_FOR_SUBSEQUENT_HINTS_MSEC',\n 'EVENT_NEW_CARD_AVAILABLE',\n function(\n- $timeout, $rootScope, PlayerTranscriptService,\n+ $timeout, $rootScope,\n DELAY_FOR_HINT_FEEDBACK_MSEC, HINT_REQUEST_STRING_I18N_IDS,\n WAIT_FOR_FIRST_HINT_MSEC, WAIT_FOR_SUBSEQUENT_HINTS_MSEC,\n EVENT_NEW_CARD_AVAILABLE) {\ndiff --git a/core/templates/dev/head/pages/exploration_player/ImagePreloaderService.js b/core/templates/dev/head/pages/exploration_player/ImagePreloaderService.js\nindex 3f1b3b8c558f9..2b876cdabb90f 100644\n--- a/core/templates/dev/head/pages/exploration_player/ImagePreloaderService.js\n+++ b/core/templates/dev/head/pages/exploration_player/ImagePreloaderService.js\n@@ -18,11 +18,11 @@\n \n oppia.factory('ImagePreloaderService', [\n '$q', '$uibModal', 'ContextService', 'AssetsBackendApiService',\n- 'ExplorationPlayerStateService', 'UrlInterpolationService',\n- 'ComputeGraphService', 'ExtractImageFilenamesFromStateService',\n+ 'UrlInterpolationService', 'ComputeGraphService',\n+ 'ExtractImageFilenamesFromStateService',\n function($q, $uibModal, ContextService, AssetsBackendApiService,\n- ExplorationPlayerStateService, UrlInterpolationService,\n- ComputeGraphService, ExtractImageFilenamesFromStateService) {\n+ UrlInterpolationService, ComputeGraphService,\n+ ExtractImageFilenamesFromStateService) {\n var MAX_NUM_IMAGE_FILES_TO_DOWNLOAD_SIMULTANEOUSLY = 3;\n \n var _filenamesOfImageCurrentlyDownloading = [];\ndiff --git a/core/templates/dev/head/pages/exploration_player/InputResponsePairDirective.js b/core/templates/dev/head/pages/exploration_player/InputResponsePairDirective.js\nindex d8c622cbc2117..426bce1d8410e 100644\n--- a/core/templates/dev/head/pages/exploration_player/InputResponsePairDirective.js\n+++ b/core/templates/dev/head/pages/exploration_player/InputResponsePairDirective.js\n@@ -31,13 +31,13 @@ oppia.directive('inputResponsePair', [\n '/pages/exploration_player/' +\n 'input_response_pair_directive.html'),\n controller: [\n- '$scope', 'ExplorationPlayerService', 'PlayerTranscriptService',\n+ '$scope', 'ExplorationEngineService', 'PlayerTranscriptService',\n 'ExplorationHtmlFormatterService', 'INTERACTION_SPECS',\n 'PlayerPositionService', 'COMPONENT_NAME_FEEDBACK',\n 'AudioTranslationManagerService', 'AudioPlayerService',\n 'AutogeneratedAudioPlayerService', 'AUDIO_HIGHLIGHT_CSS_CLASS',\n function(\n- $scope, ExplorationPlayerService, PlayerTranscriptService,\n+ $scope, ExplorationEngineService, PlayerTranscriptService,\n ExplorationHtmlFormatterService, INTERACTION_SPECS,\n PlayerPositionService, COMPONENT_NAME_FEEDBACK,\n AudioTranslationManagerService, AudioPlayerService,\n@@ -48,8 +48,7 @@ oppia.directive('inputResponsePair', [\n };\n \n $scope.getAnswerHtml = function() {\n- var interaction = ExplorationPlayerService.getInteraction(\n- PlayerPositionService.getCurrentStateName());\n+ var interaction = ExplorationEngineService.getCurrentInteraction();\n if ($scope.data) {\n return ExplorationHtmlFormatterService.getAnswerHtml(\n $scope.data.learnerInput, interaction.id,\n@@ -60,8 +59,7 @@ oppia.directive('inputResponsePair', [\n // Returns a HTML string representing a short summary of the answer\n // , or null if the answer does not have to be summarized.\n $scope.getShortAnswerHtml = function() {\n- var interaction = ExplorationPlayerService.getInteraction(\n- PlayerPositionService.getCurrentStateName());\n+ var interaction = ExplorationEngineService.getCurrentInteraction();\n var shortAnswerHtml = '';\n if ($scope.data && interaction.id &&\n INTERACTION_SPECS[interaction.id].needs_summary) {\ndiff --git a/core/templates/dev/head/pages/exploration_player/LearnerLocalNav.js b/core/templates/dev/head/pages/exploration_player/LearnerLocalNav.js\nindex 0aba217a51284..08175cec12695 100644\n--- a/core/templates/dev/head/pages/exploration_player/LearnerLocalNav.js\n+++ b/core/templates/dev/head/pages/exploration_player/LearnerLocalNav.js\n@@ -20,13 +20,13 @@ oppia.constant(\n 'FLAG_EXPLORATION_URL_TEMPLATE', '/flagexplorationhandler/<exploration_id>');\n \n oppia.controller('LearnerLocalNav', [\n- '$scope', '$uibModal', '$http', 'ExplorationPlayerService', 'AlertsService',\n+ '$scope', '$uibModal', '$http', 'ExplorationEngineService', 'AlertsService',\n 'FocusManagerService', 'UrlInterpolationService',\n 'FLAG_EXPLORATION_URL_TEMPLATE', function(\n- $scope, $uibModal, $http, ExplorationPlayerService, AlertsService,\n+ $scope, $uibModal, $http, ExplorationEngineService, AlertsService,\n FocusManagerService, UrlInterpolationService,\n FLAG_EXPLORATION_URL_TEMPLATE) {\n- $scope.explorationId = ExplorationPlayerService.getExplorationId();\n+ $scope.explorationId = ExplorationEngineService.getExplorationId();\n $scope.canEdit = GLOBALS.canEdit;\n $scope.username = GLOBALS.username;\n $scope.showLearnerSuggestionModal = function() {\n@@ -38,13 +38,13 @@ oppia.controller('LearnerLocalNav', [\n resolve: {},\n controller: [\n '$scope', '$uibModalInstance', '$timeout', 'PlayerPositionService',\n- 'ExplorationPlayerService',\n+ 'ExplorationEngineService',\n function(\n $scope, $uibModalInstance, $timeout, PlayerPositionService,\n- ExplorationPlayerService) {\n+ ExplorationEngineService) {\n var stateName = PlayerPositionService.getCurrentStateName();\n- $scope.originalHtml = ExplorationPlayerService.getStateContentHtml(\n- stateName);\n+ $scope.originalHtml =\n+ ExplorationEngineService.getStateContentHtml();\n $scope.description = '';\n // ng-model needs to bind to a property of an object on\n // the scope (the property cannot sit directly on the scope)\n@@ -62,16 +62,16 @@ oppia.controller('LearnerLocalNav', [\n \n $scope.submitSuggestion = function() {\n var data = {\n- id: ExplorationPlayerService.getExplorationId(),\n- version: ExplorationPlayerService.getExplorationVersion(),\n+ id: ExplorationEngineService.getExplorationId(),\n+ version: ExplorationEngineService.getExplorationVersion(),\n stateName: stateName,\n description: $scope.description,\n suggestionHtml: $scope.suggestionData.suggestionHtml\n };\n if (constants.USE_NEW_SUGGESTION_FRAMEWORK) {\n data = {\n- target_id: ExplorationPlayerService.getExplorationId(),\n- version: ExplorationPlayerService.getExplorationVersion(),\n+ target_id: ExplorationEngineService.getExplorationId(),\n+ version: ExplorationEngineService.getExplorationVersion(),\n stateName: stateName,\n suggestion_type: 'edit_exploration_state_content',\n target_type: 'exploration',\ndiff --git a/core/templates/dev/head/pages/exploration_player/LearnerViewRatingService.js b/core/templates/dev/head/pages/exploration_player/LearnerViewRatingService.js\nindex 43252b8b88235..0454d07458def 100644\n--- a/core/templates/dev/head/pages/exploration_player/LearnerViewRatingService.js\n+++ b/core/templates/dev/head/pages/exploration_player/LearnerViewRatingService.js\n@@ -17,9 +17,9 @@\n */\n \n oppia.factory('LearnerViewRatingService', [\n- '$http', '$rootScope', 'ExplorationPlayerService',\n- function($http, $rootScope, ExplorationPlayerService) {\n- var explorationId = ExplorationPlayerService.getExplorationId();\n+ '$http', '$rootScope', 'ExplorationEngineService',\n+ function($http, $rootScope, ExplorationEngineService) {\n+ var explorationId = ExplorationEngineService.getExplorationId();\n var ratingsUrl = '/explorehandler/rating/' + explorationId;\n var userRating;\n return {\ndiff --git a/core/templates/dev/head/pages/exploration_player/PlayerPositionService.js b/core/templates/dev/head/pages/exploration_player/PlayerPositionService.js\nindex 208b8614dc605..bbc55889478ec 100644\n--- a/core/templates/dev/head/pages/exploration_player/PlayerPositionService.js\n+++ b/core/templates/dev/head/pages/exploration_player/PlayerPositionService.js\n@@ -28,7 +28,7 @@ oppia.factory('PlayerPositionService', [\n onChangeCallback = callback;\n },\n getCurrentStateName: function() {\n- return PlayerTranscriptService.getCard(activeCardIndex).stateName;\n+ return PlayerTranscriptService.getCard(activeCardIndex).getStateName();\n },\n setActiveCardIndex: function(index) {\n var oldIndex = activeCardIndex;\ndiff --git a/core/templates/dev/head/pages/exploration_player/PlayerTranscriptService.js b/core/templates/dev/head/pages/exploration_player/PlayerTranscriptService.js\nindex dbef351e60108..56ce5f7f297f1 100644\n--- a/core/templates/dev/head/pages/exploration_player/PlayerTranscriptService.js\n+++ b/core/templates/dev/head/pages/exploration_player/PlayerTranscriptService.js\n@@ -20,146 +20,128 @@\n // are shown, what answers have been given, etc. Note that this service does\n // not maintain the currently-active card -- it's more like a log of what the\n // learner has 'discovered' so far.\n-oppia.factory('PlayerTranscriptService', ['$log', function($log) {\n- // Each element of this array represents a 'card' in the learner view,\n- // represented as a JavaScript object with the following keys:\n- // - stateName: the name of the state\n- // - currentParams: an object with the current parameter names and values.\n- // Each object has two keys:\n- // - parameterName: the name of the parameter\n- // - parameterValue: the new value of the parameter\n- // - contentHtml: the HTML representing the non-interactive content, i.e.\n- // what Oppia first says to the learner before asking for a response\n- // - interactionHtml: the HTML representing the interaction\n- // - inputResponsePairs: a list of input response pairs:\n- // - learnerInput: the JS representation of the learner's input. This can\n- // either be an answer or a request for a hint.\n- // - oppiaResponse: the HTML representation of Oppia's response to\n- // the learner's input. This could either be a hint or a feedback for\n- // the learner's answer.\n- // - isHint: A boolean value representing if the current input is a request\n- // for a hint.\n- // - destStateName: if non-null, this means that the learner is ready to move\n- // on. It represents the state name of the next card.\n- //\n- // Note that every card in this transcript is visible on the screen. The\n- // 'destStateName' field is intended to identify transcripts where there is a\n- // card 'in reserve', but the learner has not yet navigated to it -- this\n- // happens if the current card offers feedback to the learner before they\n- // carry on.\n- var transcript = [];\n- var numAnswersSubmitted = 0;\n+oppia.factory('PlayerTranscriptService', [\n+ '$log', 'StateCardObjectFactory', function($log, StateCardObjectFactory) {\n+ // Each element of this array represents a 'StateCard' domain object.\n+ //\n+ // Note that every card in this transcript is visible on the screen. The\n+ // 'card.getDestStateName()' field is intended to identify transcripts where\n+ // there is a card 'in reserve', but the learner has not yet navigated to it\n+ // -- this happens if the current card offers feedback to the learner before\n+ // they carry on.\n+ var transcript = [];\n+ var numAnswersSubmitted = 0;\n \n- return {\n- restore: function(oldTranscript) {\n- transcript = angular.copy(oldTranscript);\n- },\n- init: function() {\n- transcript = [];\n- numAnswersSubmitted = 0;\n- },\n- getStateHistory: function() {\n- var result = [];\n- transcript.forEach(function(transcriptItem) {\n- result.push(transcriptItem.stateName);\n- });\n- return result;\n- },\n- addNewCard: function(\n- stateName, params, contentHtml, interactionHtml, leadsToConceptCard) {\n- transcript.push({\n- stateName: stateName,\n- currentParams: params,\n- contentHtml: contentHtml,\n- interactionHtml: interactionHtml,\n- inputResponsePairs: [],\n- destStateName: null,\n- leadsToConceptCard: leadsToConceptCard\n- });\n- numAnswersSubmitted = 0;\n- },\n- addPreviousCard: function() {\n- if (transcript.length === 1) {\n- throw Error(\n- 'Exploration player is on the first card and hence no previous ' +\n- 'card exists.');\n- }\n- // TODO(aks681): Once worked examples are introduced, modify the below\n- // line to take into account the number of worked examples displayed.\n- var previousCard = angular.copy(transcript[transcript.length - 2]);\n- previousCard.leadsToConceptCard = false;\n- transcript.push(previousCard);\n- },\n- setDestination: function(newDestStateName) {\n- var lastCard = this.getLastCard();\n- if (lastCard.destStateName) {\n- throw Error(\n- 'Trying to set a destStateName when it has already been set.',\n- transcript);\n- }\n+ return {\n+ restore: function(oldTranscript) {\n+ transcript = angular.copy(oldTranscript);\n+ },\n+ init: function() {\n+ transcript = [];\n+ numAnswersSubmitted = 0;\n+ },\n+ getStateHistory: function() {\n+ var result = [];\n+ transcript.forEach(function(transcriptItem) {\n+ result.push(transcriptItem.getStateName());\n+ });\n+ return result;\n+ },\n+ addNewCard: function(\n+ stateName, params, contentHtml, interactionHtml, leadsToConceptCard) {\n+ transcript.push(\n+ StateCardObjectFactory.createNewCard(\n+ stateName, params, contentHtml, interactionHtml, leadsToConceptCard\n+ )\n+ );\n+ numAnswersSubmitted = 0;\n+ },\n+ addPreviousCard: function() {\n+ if (transcript.length === 1) {\n+ throw Error(\n+ 'Exploration player is on the first card and hence no previous ' +\n+ 'card exists.');\n+ }\n+ // TODO(aks681): Once worked examples are introduced, modify the below\n+ // line to take into account the number of worked examples displayed.\n+ var previousCard = angular.copy(transcript[transcript.length - 2]);\n+ previousCard.setLeadsToConceptCard(false);\n+ transcript.push(previousCard);\n+ },\n+ setDestination: function(newDestStateName) {\n+ var lastCard = this.getLastCard();\n+ if (lastCard.getDestStateName()) {\n+ throw Error(\n+ 'Trying to set a destStateName when it has already been set.',\n+ transcript);\n+ }\n \n- lastCard.destStateName = newDestStateName;\n- },\n- addNewInput: function(input, isHint) {\n- var pairs = transcript[transcript.length - 1].inputResponsePairs;\n- if (pairs.length > 0 &&\n- pairs[pairs.length - 1].oppiaResponse === null) {\n- throw Error(\n- 'Trying to add an input before the response for the previous ' +\n- 'input has been received.',\n- transcript);\n- }\n- if (!isHint) {\n- numAnswersSubmitted += 1;\n- }\n- transcript[transcript.length - 1].inputResponsePairs.push({\n- learnerInput: input,\n- oppiaResponse: null,\n- isHint: isHint\n- });\n- },\n- addNewResponse: function(response) {\n- var pairs = transcript[transcript.length - 1].inputResponsePairs;\n- if (pairs[pairs.length - 1].oppiaResponse !== null) {\n- throw Error(\n- 'Trying to add a response when it has already been added.',\n- transcript);\n- }\n- pairs[pairs.length - 1].oppiaResponse = response;\n- },\n- getNumCards: function() {\n- return transcript.length;\n- },\n- getCard: function(index) {\n- if (index < 0 || index >= transcript.length) {\n- $log.error(\n- 'Requested card with index ' + index +\n- ', but transcript only has length ' + transcript.length + ' cards.');\n- }\n- return transcript[index];\n- },\n- getLastAnswerOnActiveCard: function(index) {\n- if (this.isLastCard(index) || transcript[index].stateName === null) {\n- return null;\n- } else {\n- return transcript[index].\n- inputResponsePairs.slice(-1)[0].learnerInput;\n+ lastCard.setDestStateName(newDestStateName);\n+ },\n+ addNewInput: function(input, isHint) {\n+ var card = this.getLastCard();\n+ var pairs = card.getInputResponsePairs();\n+ if (pairs.length > 0 && card.getLastOppiaResponse() === null) {\n+ throw Error(\n+ 'Trying to add an input before the response for the previous ' +\n+ 'input has been received.',\n+ transcript);\n+ }\n+ if (!isHint) {\n+ numAnswersSubmitted += 1;\n+ }\n+ transcript[transcript.length - 1].addInputResponsePair({\n+ learnerInput: input,\n+ oppiaResponse: null,\n+ isHint: isHint\n+ });\n+ },\n+ addNewResponse: function(response) {\n+ var card = this.getLastCard();\n+ if (card.getLastOppiaResponse() !== null) {\n+ throw Error(\n+ 'Trying to add a response when it has already been added.',\n+ transcript);\n+ }\n+ card.setLastOppiaResponse(response);\n+ },\n+ getNumCards: function() {\n+ return transcript.length;\n+ },\n+ getCard: function(index) {\n+ if (index < 0 || index >= transcript.length) {\n+ $log.error(\n+ 'Requested card with index ' + index +\n+ ', but transcript only has length ' +\n+ transcript.length + ' cards.');\n+ }\n+ return transcript[index];\n+ },\n+ getLastAnswerOnActiveCard: function(activeCardIndex) {\n+ if (\n+ this.isLastCard(activeCardIndex) ||\n+ transcript[activeCardIndex].getStateName() === null ||\n+ transcript[activeCardIndex].getInputResponsePairs().length === 0) {\n+ return null;\n+ } else {\n+ return transcript[activeCardIndex].\n+ getInputResponsePairs().slice(-1)[0].learnerInput;\n+ }\n+ },\n+ isLastCard: function(index) {\n+ return index === transcript.length - 1;\n+ },\n+ getLastCard: function() {\n+ return this.getCard(transcript.length - 1);\n+ },\n+ getNumSubmitsForLastCard: function() {\n+ return numAnswersSubmitted;\n+ },\n+ updateLatestInteractionHtml: function(newInteractionHtml) {\n+ this.getLastCard().setInteractionHtml(newInteractionHtml);\n+ },\n+ getLastStateName: function() {\n+ return this.getLastCard().getStateName();\n }\n- },\n- isLastCard: function(index) {\n- return index === transcript.length - 1;\n- },\n- getLastCard: function() {\n- return this.getCard(transcript.length - 1);\n- },\n- getNumSubmitsForLastCard: function() {\n- return numAnswersSubmitted;\n- },\n- updateLatestInteractionHtml: function(newInteractionHtml) {\n- this.getLastCard().interactionHtml = newInteractionHtml;\n- },\n- getLastStateName: function() {\n- return this.getLastCard().stateName;\n- }\n- };\n-}]);\n+ };\n+ }]);\ndiff --git a/core/templates/dev/head/pages/exploration_player/PlayerTranscriptServiceSpec.js b/core/templates/dev/head/pages/exploration_player/PlayerTranscriptServiceSpec.js\nindex 791fe7a5eefff..50b597ca648ed 100644\n--- a/core/templates/dev/head/pages/exploration_player/PlayerTranscriptServiceSpec.js\n+++ b/core/templates/dev/head/pages/exploration_player/PlayerTranscriptServiceSpec.js\n@@ -42,7 +42,7 @@ describe('Player transcript service', function() {\n a: 'b'\n }, 'Content HTML', '<oppia-text-input-html></oppia-text-input-html>',\n false);\n- expect(pts.getCard(0).stateName).toBe('Third state');\n+ expect(pts.getCard(0).getStateName()).toBe('Third state');\n });\n \n it('should compute the state history correctly', function() {\n@@ -69,17 +69,16 @@ describe('Player transcript service', function() {\n false);\n \n var firstCard = pts.getCard(0);\n- expect(firstCard).toEqual({\n- stateName: 'First state',\n- currentParams: {\n- a: 'b'\n- },\n- contentHtml: 'Content HTML',\n- interactionHtml: '<oppia-text-input-html></oppia-text-input-html>',\n- inputResponsePairs: [],\n- destStateName: null,\n- leadsToConceptCard: false\n+ expect(firstCard.getStateName()).toEqual('First state');\n+ expect(firstCard.getCurrentParams()).toEqual({\n+ a: 'b'\n });\n+ expect(firstCard.getContentHtml()).toEqual('Content HTML');\n+ expect(firstCard.getInteractionHtml()).toEqual(\n+ '<oppia-text-input-html></oppia-text-input-html>');\n+ expect(firstCard.getInputResponsePairs()).toEqual([]);\n+ expect(firstCard.getDestStateName()).toEqual(null);\n+ expect(firstCard.getLeadsToConceptCard()).toEqual(false);\n });\n \n it('should add a previous card correctly', function() {\n@@ -94,39 +93,9 @@ describe('Player transcript service', function() {\n pts.addPreviousCard();\n \n expect(pts.getNumCards()).toEqual(3);\n- expect(pts.getCard([0])).toEqual({\n- stateName: 'First state',\n- currentParams: {\n- a: 'b'\n- },\n- contentHtml: 'Content HTML',\n- interactionHtml: '<oppia-text-input-html></oppia-text-input-html>',\n- inputResponsePairs: [],\n- destStateName: null,\n- leadsToConceptCard: false\n- });\n- expect(pts.getCard([1])).toEqual({\n- stateName: 'Second state',\n- currentParams: {\n- a: 'b'\n- },\n- contentHtml: 'Content HTML 2',\n- interactionHtml: '<oppia-text-input-html></oppia-text-input-html>',\n- inputResponsePairs: [],\n- destStateName: null,\n- leadsToConceptCard: false\n- });\n- expect(pts.getCard([2])).toEqual({\n- stateName: 'First state',\n- currentParams: {\n- a: 'b'\n- },\n- contentHtml: 'Content HTML',\n- interactionHtml: '<oppia-text-input-html></oppia-text-input-html>',\n- inputResponsePairs: [],\n- destStateName: null,\n- leadsToConceptCard: false\n- });\n+ expect(pts.getCard([0]).getStateName()).toEqual('First state');\n+ expect(pts.getCard([1]).getStateName()).toEqual('Second state');\n+ expect(pts.getCard([2]).getStateName()).toEqual('First state');\n });\n \n it('should set lastAnswer correctly', function() {\n@@ -144,6 +113,15 @@ describe('Player transcript service', function() {\n false);\n lastAnswer = pts.getLastAnswerOnActiveCard(0);\n expect(lastAnswer).toEqual('first answer');\n+\n+ pts.addNewCard('Third state', {\n+ a: 'b'\n+ }, 'Content HTML', '<oppia-text-input-html></oppia-text-input-html>',\n+ false);\n+ // lastAnswer should be null as no answers were provided in the second\n+ // state.\n+ lastAnswer = pts.getLastAnswerOnActiveCard(1);\n+ expect(lastAnswer).toEqual(null);\n });\n \n it('should record answer/feedback pairs in the correct order', function() {\n@@ -168,7 +146,7 @@ describe('Player transcript service', function() {\n pts.addNewInput('second answer', true);\n \n var firstCard = pts.getCard(0);\n- expect(firstCard.inputResponsePairs).toEqual([{\n+ expect(firstCard.getInputResponsePairs()).toEqual([{\n learnerInput: 'first answer',\n oppiaResponse: 'feedback',\n isHint: false\n@@ -185,9 +163,9 @@ describe('Player transcript service', function() {\n a: 'b'\n }, 'Content HTML', '<oppia-text-input-html></oppia-text-input-html>',\n false);\n- expect(pts.getCard(0).destStateName).toBeNull();\n+ expect(pts.getCard(0).getDestStateName()).toBeNull();\n pts.setDestination('New destination');\n- expect(pts.getCard(0).destStateName).toBe('New destination');\n+ expect(pts.getCard(0).getDestStateName()).toBe('New destination');\n expect(function() {\n pts.setDestination('Invalid new destination');\n }).toThrow(\n@@ -204,7 +182,7 @@ describe('Player transcript service', function() {\n }, 'Content HTML', '<oppia-text-input-html></oppia-text-input-html>',\n false);\n expect(pts.getNumCards()).toBe(2);\n- expect(pts.getLastCard().stateName).toBe('Second state');\n+ expect(pts.getLastCard().getStateName()).toBe('Second state');\n expect(pts.isLastCard(0)).toBe(false);\n expect(pts.isLastCard(1)).toBe(true);\n expect(pts.isLastCard(2)).toBe(false);\ndiff --git a/core/templates/dev/head/pages/exploration_player/ProgressNavDirective.js b/core/templates/dev/head/pages/exploration_player/ProgressNavDirective.js\nindex 3b47dde793599..dc51402a94440 100644\n--- a/core/templates/dev/head/pages/exploration_player/ProgressNavDirective.js\n+++ b/core/templates/dev/head/pages/exploration_player/ProgressNavDirective.js\n@@ -31,12 +31,12 @@ oppia.directive('progressNav', [\n '/pages/exploration_player/progress_nav_directive.html'),\n controller: [\n '$scope', '$rootScope', 'PlayerPositionService', 'UrlService',\n- 'PlayerTranscriptService', 'ExplorationPlayerService',\n- 'ExplorationPlayerStateService', 'WindowDimensionsService',\n+ 'PlayerTranscriptService', 'ExplorationEngineService',\n+ 'WindowDimensionsService', 'TWO_CARD_THRESHOLD_PX',\n 'CONTINUE_BUTTON_FOCUS_LABEL', 'INTERACTION_SPECS',\n function($scope, $rootScope, PlayerPositionService, UrlService,\n- PlayerTranscriptService, ExplorationPlayerService,\n- ExplorationPlayerStateService, WindowDimensionsService,\n+ PlayerTranscriptService, ExplorationEngineService,\n+ WindowDimensionsService, TWO_CARD_THRESHOLD_PX,\n CONTINUE_BUTTON_FOCUS_LABEL, INTERACTION_SPECS) {\n $scope.CONTINUE_BUTTON_FOCUS_LABEL = CONTINUE_BUTTON_FOCUS_LABEL;\n $scope.isIframed = UrlService.isIframed();\n@@ -49,18 +49,18 @@ oppia.directive('progressNav', [\n $scope.activeCardIndex = PlayerPositionService.getActiveCardIndex();\n $scope.activeCard = PlayerTranscriptService.getCard(\n $scope.activeCardIndex);\n+ ExplorationEngineService.setCurrentStateIndex(\n+ $scope.activeCardIndex);\n $scope.hasPrevious = $scope.activeCardIndex > 0;\n $scope.hasNext = !PlayerTranscriptService.isLastCard(\n $scope.activeCardIndex);\n $scope.conceptCardIsBeingShown =\n- ExplorationPlayerStateService.isStateShowingConceptCard(\n- $scope.activeCard.stateName);\n+ ExplorationEngineService.isStateShowingConceptCard();\n if (!$scope.conceptCardIsBeingShown) {\n- var interaction = ExplorationPlayerService.getInteraction(\n- $scope.activeCard.stateName);\n+ var interaction =\n+ ExplorationEngineService.getCurrentInteraction();\n interactionIsInline = (\n- ExplorationPlayerStateService.isInteractionInline(\n- $scope.activeCard.stateName));\n+ ExplorationEngineService.isInteractionInline());\n $scope.interactionCustomizationArgs =\n interaction.customizationArgs;\n $scope.interactionId = interaction.id;\n@@ -91,6 +91,12 @@ oppia.directive('progressNav', [\n }\n };\n \n+ // Returns whether the screen is wide enough to fit two\n+ // cards (e.g., the tutor and supplemental cards) side-by-side.\n+ $scope.canWindowShowTwoCards = function() {\n+ return WindowDimensionsService.getWidth() > TWO_CARD_THRESHOLD_PX;\n+ };\n+\n $scope.shouldGenericSubmitButtonBeShown = function() {\n if ($scope.interactionId === 'ItemSelectionInput' &&\n $scope.interactionCustomizationArgs\n@@ -100,7 +106,7 @@ oppia.directive('progressNav', [\n \n return (interactionHasNavSubmitButton && (\n interactionIsInline ||\n- !ExplorationPlayerService.canWindowShowTwoCards()\n+ !$scope.canWindowShowTwoCards()\n ));\n };\n \n@@ -108,13 +114,11 @@ oppia.directive('progressNav', [\n if ($scope.conceptCardIsBeingShown) {\n return true;\n }\n- var lastPair = $scope.activeCard.inputResponsePairs[\n- $scope.activeCard.inputResponsePairs.length - 1];\n return Boolean(\n interactionIsInline &&\n- ($scope.activeCard.destStateName ||\n- $scope.activeCard.leadsToConceptCard) &&\n- lastPair.oppiaResponse);\n+ ($scope.activeCard.getDestStateName() ||\n+ $scope.activeCard.getLeadsToConceptCard()) &&\n+ $scope.activeCard.getLastOppiaResponse());\n };\n }\n ]\ndiff --git a/core/templates/dev/head/pages/exploration_player/RefresherExplorationConfirmationModalService.js b/core/templates/dev/head/pages/exploration_player/RefresherExplorationConfirmationModalService.js\nindex 5906ff82a223b..58daac0f14dba 100644\n--- a/core/templates/dev/head/pages/exploration_player/RefresherExplorationConfirmationModalService.js\n+++ b/core/templates/dev/head/pages/exploration_player/RefresherExplorationConfirmationModalService.js\n@@ -19,9 +19,9 @@\n \n oppia.factory('RefresherExplorationConfirmationModalService', [\n '$uibModal', 'UrlInterpolationService', 'UrlService',\n- 'ExplorationPlayerService',\n+ 'ExplorationEngineService',\n function($uibModal, UrlInterpolationService, UrlService,\n- ExplorationPlayerService) {\n+ ExplorationEngineService) {\n return {\n displayRedirectConfirmationModal: function(\n refresherExplorationId, redirectConfirmationCallback) {\n@@ -51,7 +51,7 @@ oppia.factory('RefresherExplorationConfirmationModalService', [\n url = UrlService.addField(url, 'parent', parentIdList[i]);\n }\n url = UrlService.addField(\n- url, 'parent', ExplorationPlayerService.getExplorationId());\n+ url, 'parent', ExplorationEngineService.getExplorationId());\n \n // Wait a little before redirecting the page to ensure other\n // tasks started here (e.g. event recording) have sufficient\ndiff --git a/core/templates/dev/head/pages/exploration_player/StatsReportingService.js b/core/templates/dev/head/pages/exploration_player/StatsReportingService.js\nindex 46bff9fa81a52..ac2e1cd7e484b 100644\n--- a/core/templates/dev/head/pages/exploration_player/StatsReportingService.js\n+++ b/core/templates/dev/head/pages/exploration_player/StatsReportingService.js\n@@ -69,8 +69,7 @@ oppia.factory('StatsReportingService', [\n var explorationActuallyStarted = false;\n var explorationIsComplete = false;\n \n- var _editorPreviewMode = (\n- ContextService.getPageContext() === PAGE_CONTEXT.EXPLORATION_EDITOR);\n+ var _editorPreviewMode = ContextService.isInExplorationEditorPage();\n \n // The following dict will contain all stats data accumulated over the\n // interval time and will be reset when the dict is sent to backend for\ndiff --git a/core/templates/dev/head/pages/exploration_player/SupplementalCardDirective.js b/core/templates/dev/head/pages/exploration_player/SupplementalCardDirective.js\nindex 424f1f52e1e8e..a531f44a45cf5 100644\n--- a/core/templates/dev/head/pages/exploration_player/SupplementalCardDirective.js\n+++ b/core/templates/dev/head/pages/exploration_player/SupplementalCardDirective.js\n@@ -28,7 +28,7 @@ oppia.directive('supplementalCard', [\n templateUrl: UrlInterpolationService.getDirectiveTemplateUrl(\n '/pages/exploration_player/supplemental_card_directive.html'),\n controller: [\n- '$scope', '$timeout', '$window', 'ExplorationPlayerService',\n+ '$scope', '$timeout', '$window', 'ExplorationEngineService',\n 'PlayerPositionService', 'PlayerTranscriptService',\n 'WindowDimensionsService', 'CONTENT_FOCUS_LABEL_PREFIX',\n 'TWO_CARD_THRESHOLD_PX', 'EVENT_ACTIVE_CARD_CHANGED',\n@@ -36,7 +36,7 @@ oppia.directive('supplementalCard', [\n 'AudioPlayerService', 'AutogeneratedAudioPlayerService',\n 'COMPONENT_NAME_FEEDBACK', 'AUDIO_HIGHLIGHT_CSS_CLASS',\n function(\n- $scope, $timeout, $window, ExplorationPlayerService,\n+ $scope, $timeout, $window, ExplorationEngineService,\n PlayerPositionService, PlayerTranscriptService,\n WindowDimensionsService, CONTENT_FOCUS_LABEL_PREFIX,\n TWO_CARD_THRESHOLD_PX, EVENT_ACTIVE_CARD_CHANGED,\n@@ -91,7 +91,7 @@ oppia.directive('supplementalCard', [\n $scope.submitAnswer = function(answer, interactionRulesService) {\n // Do not clear the help card or submit an answer if there is an\n // upcoming card.\n- if ($scope.activeCard.destStateName) {\n+ if ($scope.activeCard.getDestStateName()) {\n return;\n }\n \ndiff --git a/core/templates/dev/head/pages/exploration_player/TutorCardDirective.js b/core/templates/dev/head/pages/exploration_player/TutorCardDirective.js\nindex 7be27cd150db3..3d91dbe66542d 100644\n--- a/core/templates/dev/head/pages/exploration_player/TutorCardDirective.js\n+++ b/core/templates/dev/head/pages/exploration_player/TutorCardDirective.js\n@@ -51,24 +51,27 @@ oppia.directive('tutorCard', [\n 'tutor_card_directive.html'),\n controller: [\n '$scope', '$timeout', '$rootScope', '$anchorScroll', '$location',\n- 'ExplorationPlayerService', 'PlayerPositionService', 'UrlService',\n- 'PlayerTranscriptService', 'ExplorationPlayerStateService',\n+ 'ExplorationEngineService', 'PlayerPositionService', 'UrlService',\n+ 'PlayerTranscriptService', 'ContextService', 'PAGE_CONTEXT',\n 'WindowDimensionsService', 'DeviceInfoService', 'AudioPlayerService',\n 'AutogeneratedAudioPlayerService', 'AudioPreloaderService',\n 'AudioTranslationManagerService', 'TWO_CARD_THRESHOLD_PX',\n 'CONTENT_FOCUS_LABEL_PREFIX', 'CONTINUE_BUTTON_FOCUS_LABEL',\n- 'EVENT_ACTIVE_CARD_CHANGED', 'EVENT_NEW_CARD_AVAILABLE',\n+ 'EVENT_ACTIVE_CARD_CHANGED', 'EVENT_NEW_CARD_AVAILABLE', 'UserService',\n 'COMPONENT_NAME_CONTENT', 'AUDIO_HIGHLIGHT_CSS_CLASS',\n+ 'DEFAULT_PROFILE_IMAGE_PATH',\n function(\n $scope, $timeout, $rootScope, $anchorScroll, $location,\n- ExplorationPlayerService, PlayerPositionService, UrlService,\n- PlayerTranscriptService, ExplorationPlayerStateService,\n+ ExplorationEngineService, PlayerPositionService, UrlService,\n+ PlayerTranscriptService, ContextService, PAGE_CONTEXT,\n WindowDimensionsService, DeviceInfoService, AudioPlayerService,\n AutogeneratedAudioPlayerService, AudioPreloaderService,\n AudioTranslationManagerService, TWO_CARD_THRESHOLD_PX,\n CONTENT_FOCUS_LABEL_PREFIX, CONTINUE_BUTTON_FOCUS_LABEL,\n- EVENT_ACTIVE_CARD_CHANGED, EVENT_NEW_CARD_AVAILABLE,\n- COMPONENT_NAME_CONTENT, AUDIO_HIGHLIGHT_CSS_CLASS) {\n+ EVENT_ACTIVE_CARD_CHANGED, EVENT_NEW_CARD_AVAILABLE, UserService,\n+ COMPONENT_NAME_CONTENT, AUDIO_HIGHLIGHT_CSS_CLASS,\n+ DEFAULT_PROFILE_IMAGE_PATH) {\n+ var _editorPreviewMode = ContextService.isInExplorationEditorPage();\n var updateActiveCard = function() {\n var index = PlayerPositionService.getActiveCardIndex();\n if (index === null) {\n@@ -78,33 +81,23 @@ oppia.directive('tutorCard', [\n $scope.arePreviousResponsesShown = false;\n $scope.activeCard = PlayerTranscriptService.getCard(index);\n $scope.conceptCardIsBeingShown =\n- ExplorationPlayerStateService.isStateShowingConceptCard(\n- $scope.activeCard.stateName);\n+ ExplorationEngineService.isStateShowingConceptCard();\n $scope.interactionIsActive =\n PlayerTranscriptService.isLastCard(index);\n $scope.$on(EVENT_NEW_CARD_AVAILABLE, function(evt, data) {\n $scope.interactionIsActive = false;\n });\n- if ($scope.conceptCardIsBeingShown) {\n- $scope.interactionIsInline = true;\n- } else {\n- $scope.interactionIsInline = (\n- ExplorationPlayerStateService.isInteractionInline(\n- $scope.activeCard.stateName));\n- }\n $scope.lastAnswer =\n PlayerTranscriptService.getLastAnswerOnActiveCard(index);\n if (!$scope.conceptCardIsBeingShown) {\n $scope.interactionInstructions = (\n- ExplorationPlayerStateService.getInteractionInstructions(\n- $scope.activeCard.stateName));\n+ ExplorationEngineService.getCurrentInteractionInstructions());\n $scope.contentAudioTranslations = (\n- ExplorationPlayerService.getStateContentAudioTranslations(\n- $scope.activeCard.stateName));\n+ ExplorationEngineService.getStateContentAudioTranslations());\n AudioTranslationManagerService.clearSecondaryAudioTranslations();\n AudioTranslationManagerService.setContentAudioTranslations(\n angular.copy($scope.contentAudioTranslations),\n- $scope.activeCard.contentHtml,\n+ $scope.activeCard.getContentHtml(),\n COMPONENT_NAME_CONTENT);\n AudioPlayerService.stop();\n AudioPreloaderService.clearMostRecentlyRequestedAudioFilename();\n@@ -112,6 +105,14 @@ oppia.directive('tutorCard', [\n }\n };\n \n+ $scope.isInteractionInline = function() {\n+ if ($scope.conceptCardIsBeingShown) {\n+ return true;\n+ } else {\n+ return ExplorationEngineService.isInteractionInline();\n+ }\n+ };\n+\n $scope.getContentAudioHighlightClass = function() {\n if (AudioTranslationManagerService\n .getCurrentComponentName() ===\n@@ -137,10 +138,16 @@ oppia.directive('tutorCard', [\n $scope.profilePicture = UrlInterpolationService.getStaticImageUrl(\n '/avatar/user_blue_72px.png');\n \n- ExplorationPlayerService.getUserProfileImageAsync()\n- .then(function(result) {\n- $scope.profilePicture = result;\n- });\n+ if (!_editorPreviewMode) {\n+ UserService.getProfileImageDataUrlAsync()\n+ .then(function(dataUrl) {\n+ $scope.profilePicture = dataUrl;\n+ });\n+ } else {\n+ $scope.profilePicture = (\n+ UrlInterpolationService.getStaticImageUrl(\n+ DEFAULT_PROFILE_IMAGE_PATH));\n+ }\n \n $scope.getContentFocusLabel = function(index) {\n return CONTENT_FOCUS_LABEL_PREFIX + index;\n@@ -156,7 +163,7 @@ oppia.directive('tutorCard', [\n };\n \n $scope.canWindowShowTwoCards = function() {\n- return ExplorationPlayerService.canWindowShowTwoCards();\n+ return WindowDimensionsService.getWidth() > TWO_CARD_THRESHOLD_PX;\n };\n \n $scope.submitAnswer = function(answer, interactionRulesService) {\n@@ -177,8 +184,8 @@ oppia.directive('tutorCard', [\n if ($scope.conceptCardIsBeingShown) {\n return false;\n }\n- return ExplorationPlayerService.isContentAudioTranslationAvailable(\n- $scope.activeCard.stateName);\n+ return (\n+ ExplorationEngineService.isContentAudioTranslationAvailable());\n };\n \n $scope.isCurrentCardAtEndOfTranscript = function() {\n@@ -188,8 +195,7 @@ oppia.directive('tutorCard', [\n \n $scope.isOnTerminalCard = function() {\n return $scope.activeCard &&\n- ExplorationPlayerStateService.isStateTerminal(\n- $scope.activeCard.stateName);\n+ ExplorationEngineService.isCurrentStateTerminal();\n };\n \n $scope.getInputResponsePairId = function(index) {\n@@ -208,7 +214,7 @@ oppia.directive('tutorCard', [\n var index = PlayerPositionService.getActiveCardIndex();\n var activeCard = PlayerTranscriptService.getCard(index);\n var latestFeedbackIndex = (\n- activeCard.inputResponsePairs.length - 1);\n+ activeCard.getInputResponsePairs().length - 1);\n /* Reference: https://stackoverflow.com/questions/40134381\n $anchorScroll() without changing actual hash value of url works\n only when written inside a timeout of 0 ms. */\ndiff --git a/core/templates/dev/head/pages/exploration_player/exploration_player.html b/core/templates/dev/head/pages/exploration_player/exploration_player.html\nindex 13189956b0cab..9c425623d24b3 100644\n--- a/core/templates/dev/head/pages/exploration_player/exploration_player.html\n+++ b/core/templates/dev/head/pages/exploration_player/exploration_player.html\n@@ -141,6 +141,7 @@ <h1 class=\"oppia-exploration-h1\"><span class=\"protractor-test-exploration-header\n <script src=\"/templates/dev/head/domain/skill/ConceptCardBackendApiService.js\"></script>\n <script src=\"/templates/dev/head/domain/skill/ConceptCardObjectFactory.js\"></script>\n <script src=\"/templates/dev/head/domain/state/StateObjectFactory.js\"></script>\n+ <script src=\"/templates/dev/head/domain/state_card/StateCardObjectFactory.js\"></script>\n <script src=\"/templates/dev/head/domain/statistics/PlaythroughObjectFactory.js\"></script>\n <script src=\"/templates/dev/head/domain/statistics/ExplorationIssueObjectFactory.js\"></script>\n <script src=\"/templates/dev/head/domain/statistics/LearnerActionObjectFactory.js\"></script>\n@@ -157,7 +158,6 @@ <h1 class=\"oppia-exploration-h1\"><span class=\"protractor-test-exploration-header\n \n <script src=\"/templates/dev/head/pages/exploration_player/TutorCardDirective.js\"></script>\n <script src=\"/templates/dev/head/pages/exploration_player/SupplementalCardDirective.js\"></script>\n- <script src=\"/templates/dev/head/pages/exploration_player/ExplorationPlayerStateService.js\"></script>\n <script src=\"/templates/dev/head/pages/exploration_player/PlayerConstants.js\"></script>\n <script src=\"/templates/dev/head/pages/exploration_player/AnswerClassificationService.js\"></script>\n <script src=\"/templates/dev/head/pages/exploration_player/StateClassifierMappingService.js\"></script>\n@@ -180,7 +180,7 @@ <h1 class=\"oppia-exploration-h1\"><span class=\"protractor-test-exploration-header\n <script src=\"/templates/dev/head/pages/exploration_player/LearnerViewInfo.js\"></script>\n <script src=\"/templates/dev/head/pages/exploration_player/LearnerViewRatingService.js\"></script>\n <script src=\"/templates/dev/head/pages/exploration_player/PlayerPositionService.js\"></script>\n- <script src=\"/templates/dev/head/pages/exploration_player/PlayerServices.js\"></script>\n+ <script src=\"/templates/dev/head/pages/exploration_player/ExplorationEngineService.js\"></script>\n <script src=\"/templates/dev/head/pages/exploration_player/PlayerTranscriptService.js\"></script>\n <script src=\"/templates/dev/head/pages/exploration_player/ProgressNavDirective.js\"></script>\n <script src=\"/templates/dev/head/pages/exploration_player/StatsReportingService.js\"></script>\ndiff --git a/core/templates/dev/head/pages/exploration_player/supplemental_card_directive.html b/core/templates/dev/head/pages/exploration_player/supplemental_card_directive.html\nindex 3679db8a2b70b..0e43cce36d3c6 100644\n--- a/core/templates/dev/head/pages/exploration_player/supplemental_card_directive.html\n+++ b/core/templates/dev/head/pages/exploration_player/supplemental_card_directive.html\n@@ -21,7 +21,7 @@\n \n <div>\n <angular-html-bind class=\"protractor-test-conversation-input\"\n- html-data=\"activeCard.interactionHtml\">\n+ html-data=\"activeCard.getInteractionHtml()\">\n </angular-html-bind>\n </div>\n </div>\ndiff --git a/core/templates/dev/head/pages/exploration_player/tutor_card_directive.html b/core/templates/dev/head/pages/exploration_player/tutor_card_directive.html\nindex d7dd35b5703f7..74604c28eaa2e 100644\n--- a/core/templates/dev/head/pages/exploration_player/tutor_card_directive.html\n+++ b/core/templates/dev/head/pages/exploration_player/tutor_card_directive.html\n@@ -11,7 +11,7 @@\n focus-on=\"<[getContentFocusLabel($index)]>\">\n <div>\n <angular-html-bind class=\"protractor-test-conversation-content\"\n- html-data=\"activeCard.contentHtml\">\n+ html-data=\"activeCard.getContentHtml()\">\n </angular-html-bind>\n </div>\n <div ng-if=\"isContentAudioTranslationAvailable()\"\n@@ -20,12 +20,12 @@\n </div>\n </div>\n \n- <div ng-if=\"(activeCard.inputResponsePairs.length > 1 && interactionIsInline) || (activeCard.inputResponsePairs.length > 0 && !interactionIsInline)\">\n+ <div ng-if=\"(activeCard.getInputResponsePairs().length > 1 && isInteractionInline()) || (activeCard.getInputResponsePairs().length > 0 && !isInteractionInline())\">\n <h4 class=\"conversation-skin-responses-dropdown-container\"\n ng-click=\"toggleShowPreviousResponses()\">\n <span class=\"conversation-skin-responses-dropdown-text\">\n <span translate=\"I18N_PLAYER_PREVIOUS_RESPONSES\"\n- translate-values=\"{previousResponses: <[activeCard.inputResponsePairs.length - (interactionIsInline ? 1 : 0)]>}\">\n+ translate-values=\"{previousResponses: <[activeCard.getInputResponsePairs().length - (isInteractionInline() ? 1 : 0)]>}\">\n </span>\n <span class=\"conversation-skin-responses-dropdown-icon\">\n <i class=\"material-icons conversation-skin-responses-dropdown-icon\" ng-class=\"{'conversation-skin-responses-dropdown-icon-rotated': arePreviousResponsesShown}\"></i>\n@@ -36,8 +36,8 @@\n \n <div ng-if=\"arePreviousResponsesShown && !conceptCardIsBeingShown\"\n class=\"conversation-skin-tutor-card-middle-section conversation-skin-responses-animate-slide\">\n- <div ng-repeat=\"responsePair in activeCard.inputResponsePairs track by $index\">\n- <div ng-if=\"(!$last || !interactionIsInline)\">\n+ <div ng-repeat=\"responsePair in activeCard.getInputResponsePairs() track by $index\">\n+ <div ng-if=\"(!$last || !isInteractionInline())\">\n <input-response-pair data=\"responsePair\"\n profile-picture=\"profilePicture\"\n oppia-avatar-image-url=\"OPPIA_AVATAR_IMAGE_URL\"\n@@ -49,11 +49,11 @@\n </div>\n \n <!-- If the interaction is inline, always show the most recent response pair, if there is one. -->\n- <div class=\"conversation-skin-tutor-card-bottom-section\" ng-if=\"interactionIsInline && activeCard.inputResponsePairs.length > 0\">\n- <input-response-pair data=\"activeCard.inputResponsePairs[activeCard.inputResponsePairs.length - 1]\"\n+ <div class=\"conversation-skin-tutor-card-bottom-section\" ng-if=\"isInteractionInline() && activeCard.getInputResponsePairs().length > 0\">\n+ <input-response-pair data=\"activeCard.getInputResponsePairs()[activeCard.getInputResponsePairs().length - 1]\"\n profile-picture=\"profilePicture\"\n oppia-avatar-image-url=\"OPPIA_AVATAR_IMAGE_URL\"\n- input-response-pair-id=\"getInputResponsePairId(activeCard.inputResponsePairs.length - 1)\"\n+ input-response-pair-id=\"getInputResponsePairId(activeCard.getInputResponsePairs().length - 1)\"\n is-last-pair=\"true\">\n </input-response-pair>\n </div>\n@@ -65,23 +65,23 @@\n In addition, if the exploration is iframed, the terminal card will\n have no learner input section, so we do not show it.\n -->\n- <div ng-show=\"interactionIsInline && isCurrentCardAtEndOfTranscript() && !waitingForOppiaFeedback &&\n- ((activeCard.interactionHtml && !activeCard.destStateName) || activeCard.destStateName) &&\n- (!isOnTerminalCard() || !isIframed || activeCard.destStateName)\">\n+ <div ng-show=\"isInteractionInline() && isCurrentCardAtEndOfTranscript() && !waitingForOppiaFeedback &&\n+ ((activeCard.getInteractionHtml() && !activeCard.getDestStateName()) || activeCard.getDestStateName()) &&\n+ (!isOnTerminalCard() || !isIframed || activeCard.getDestStateName())\">\n <div class=\"conversation-skin-inline-interaction\">\n- <!-- The seemingly redundant check for interactionIsInline is necessary\n+ <!-- The seemingly redundant check for isInteractionInline() is necessary\n because the parent ng-show does not remove the element from the DOM.\n This can lead to two conflicting copies of the interaction for\n non-inline interactions. -->\n- <div ng-if=\"interactionIsInline && activeCard.interactionHtml && !activeCard.destStateName && !conceptCardIsBeingShown && !activeCard.leadsToConceptCard\">\n+ <div ng-if=\"isInteractionInline() && activeCard.getInteractionHtml() && !activeCard.getDestStateName() && !conceptCardIsBeingShown && !activeCard.getLeadsToConceptCard()\">\n <angular-html-bind class=\"protractor-test-conversation-input\"\n- html-data=\"activeCard.interactionHtml\">\n+ html-data=\"activeCard.getInteractionHtml()\">\n </angular-html-bind>\n </div>\n </div>\n </div>\n \n- <div ng-if=\"!interactionIsInline && !conceptCardIsBeingShown\"\n+ <div ng-if=\"!isInteractionInline() && !conceptCardIsBeingShown\"\n class=\"conversation-skin-inline-interaction\" style=\"opacity: 0.8;\">\n <div style=\"padding: 6px 12px;\">\n <span ng-class=\"{'conversation-skin-instruction-disabled': !interactionIsActive}\"> <[interactionInstructions]> </span>\n@@ -90,10 +90,10 @@\n </div>\n </div>\n \n- <div ng-if=\"!activeCard.interactionHtml && !isOnTerminalCard() && !conceptCardIsBeingShown\">\n+ <div ng-if=\"!activeCard.getInteractionHtml() && !isOnTerminalCard() && !conceptCardIsBeingShown\">\n <div class=\"conversation-skin-inline-interaction\">\n <span style=\"color: red;\">\n- <strong>Error</strong>: No interaction specified for '<[activeCard.stateName]>'.\n+ <strong>Error</strong>: No interaction specified for '<[activeCard.getStateName()]>'.\n </span>\n </div>\n </div>\ndiff --git a/core/templates/dev/head/pages/state_editor/StateResponsesDirective.js b/core/templates/dev/head/pages/state_editor/StateResponsesDirective.js\nindex 08f6f8a3812d3..7e2f324a15b0f 100644\n--- a/core/templates/dev/head/pages/state_editor/StateResponsesDirective.js\n+++ b/core/templates/dev/head/pages/state_editor/StateResponsesDirective.js\n@@ -272,7 +272,7 @@ oppia.directive('stateResponses', [\n $scope.openAddAnswerGroupModal = function() {\n AlertsService.clearWarnings();\n $rootScope.$broadcast('externalSave');\n- var stateName = $scope.stateName;\n+ var stateName = StateEditorService.getActiveStateName();\n var addState = $scope.addState;\n $uibModal.open({\n templateUrl: UrlInterpolationService.getDirectiveTemplateUrl(\ndiff --git a/core/templates/dev/head/services/ContextService.js b/core/templates/dev/head/services/ContextService.js\nindex 6c058d205e524..9231f50c5479d 100644\n--- a/core/templates/dev/head/services/ContextService.js\n+++ b/core/templates/dev/head/services/ContextService.js\n@@ -153,6 +153,10 @@ oppia.factory('ContextService', [\n return (this.getPageContext() === PAGE_CONTEXT.EXPLORATION_EDITOR &&\n this.getEditorTabContext() === (\n EXPLORATION_EDITOR_TAB_CONTEXT.EDITOR));\n+ },\n+\n+ isInExplorationEditorPage: function() {\n+ return this.getPageContext() === PAGE_CONTEXT.EXPLORATION_EDITOR;\n }\n };\n }\ndiff --git a/extensions/interactions/MusicNotesInput/directives/MusicNotesInputSpec.js b/extensions/interactions/MusicNotesInput/directives/MusicNotesInputSpec.js\nindex 39cd666ddec74..7f9644b637ddb 100644\n--- a/extensions/interactions/MusicNotesInput/directives/MusicNotesInputSpec.js\n+++ b/extensions/interactions/MusicNotesInput/directives/MusicNotesInputSpec.js\n@@ -24,7 +24,7 @@ describe('MusicNotesInput interaction', function() {\n beforeEach(module('directiveTemplates'));\n beforeEach(module(\n 'oppia', GLOBALS.TRANSLATOR_PROVIDER_FOR_TESTS, function($provide) {\n- $provide.value('ExplorationPlayerService', {});\n+ $provide.value('ExplorationEngineService', {});\n }\n ));\n \n"}}},{"rowIdx":6587,"cells":{"in_source_id":{"kind":"string","value":"azavea__raster-vision-1235"},"issue":{"kind":"string","value":"Predictor does not reset the scene's aoi_geometries and the raster source's extent_crop\nCurrently, the `Predictor` re-uses a `SceneConfig` from the pipeline config in the bundle (instead of creating a new one) and resets its `label_source` and `aoi_uris`.\r\nhttps://github.com/azavea/raster-vision/blob/master/rastervision_core/rastervision/core/predictor.py#L70-L71\r\n\r\nHowever, it should also do this for `raster_source.extent_crop` (#1030) and `aoi_geometries` (#1033). In general, it should be done for every field that cannot be safely assumed to be the same for the input scene.\r\n\r\nInstead of having to add to this every time something new is added to the `SceneConfig` or any of its member classes, it might be better to create a new scene in the predictor with options from the command line.\n"},"before_files":{"kind":"list like","value":[{"content":"from os.path import join\nimport zipfile\nimport logging\n\nfrom rastervision.pipeline import rv_config\nfrom rastervision.pipeline.config import (build_config, upgrade_config)\nfrom rastervision.pipeline.file_system.utils import (download_if_needed,\n make_dir, file_to_json)\nfrom rastervision.core.data.raster_source import ChannelOrderError\nfrom rastervision.core.analyzer import StatsAnalyzerConfig\n\nlog = logging.getLogger(__name__)\n\n\nclass Predictor():\n \"\"\"Class for making predictions based off of a model bundle.\"\"\"\n\n def __init__(self,\n model_bundle_uri,\n tmp_dir,\n update_stats=False,\n channel_order=None):\n \"\"\"Creates a new Predictor.\n\n Args:\n model_bundle_uri: URI of the model bundle to use. Can be any\n type of URI that Raster Vision can read.\n tmp_dir: Temporary directory in which to store files that are used\n by the Predictor. This directory is not cleaned up by this\n class.\n channel_order: Option for a new channel order to use for the\n imagery being predicted against. If not present, the\n channel_order from the original configuration in the predict\n package will be used.\n \"\"\"\n self.tmp_dir = tmp_dir\n self.update_stats = update_stats\n self.model_loaded = False\n\n bundle_path = download_if_needed(model_bundle_uri, tmp_dir)\n bundle_dir = join(tmp_dir, 'bundle')\n make_dir(bundle_dir)\n with zipfile.ZipFile(bundle_path, 'r') as bundle_zip:\n bundle_zip.extractall(path=bundle_dir)\n\n config_path = join(bundle_dir, 'pipeline-config.json')\n config_dict = file_to_json(config_path)\n rv_config.set_everett_config(\n config_overrides=config_dict.get('rv_config'))\n config_dict = upgrade_config(config_dict)\n self.config = build_config(config_dict)\n self.scene = self.config.dataset.validation_scenes[0]\n\n if not hasattr(self.scene.raster_source, 'uris'):\n raise Exception(\n 'raster_source in model bundle must have uris as field')\n\n if not hasattr(self.scene.label_store, 'uri'):\n raise Exception(\n 'label_store in model bundle must have uri as field')\n\n for t in self.scene.raster_source.transformers:\n t.update_root(bundle_dir)\n\n if self.update_stats:\n stats_analyzer = StatsAnalyzerConfig(\n output_uri=join(bundle_dir, 'stats.json'))\n self.config.analyzers = [stats_analyzer]\n\n self.scene.label_source = None\n self.scene.aoi_uris = None\n self.config.dataset.train_scenes = [self.scene]\n self.config.dataset.validation_scenes = [self.scene]\n self.config.dataset.test_scenes = []\n self.config.train_uri = bundle_dir\n\n if channel_order is not None:\n self.scene.raster_source.channel_order = channel_order\n\n self.pipeline = None\n\n def predict(self, image_uris, label_uri, vector_label_uri=None):\n \"\"\"Generate predictions for the given image.\n\n Args:\n image_uris: URIs of the images to make predictions against.\n This can be any type of URI readable by Raster Vision\n FileSystems.\n label_uri: URI to save labels off into\n vector_label_uri: URI to save vectorized labels for semantic segmentation\n model bundles that support it\n \"\"\"\n if self.pipeline is None:\n self.scene.raster_source.uris = image_uris\n self.pipeline = self.config.build(self.tmp_dir)\n if not hasattr(self.pipeline, 'predict'):\n raise Exception(\n 'pipeline in model bundle must have predict method')\n\n try:\n self.scene.raster_source.uris = image_uris\n self.scene.label_store.uri = label_uri\n if (hasattr(self.scene.label_store, 'vector_output')\n and self.scene.label_store.vector_output):\n if vector_label_uri:\n for vo in self.scene.label_store.vector_output:\n vo.uri = join(\n vector_label_uri, '{}-{}.json'.format(\n vo.class_id, vo.get_mode()))\n else:\n self.scene.label_store.vector_output = []\n elif vector_label_uri:\n log.warn(\n 'vector_label_uri was supplied but this model bundle does not '\n 'generate vector labels.')\n\n if self.update_stats:\n self.pipeline.analyze()\n self.pipeline.predict()\n except ChannelOrderError:\n raise ValueError(\n 'The predict package is using a channel_order '\n 'with channels unavailable in the imagery.\\nTo set a new '\n 'channel_order that only uses channels available in the '\n 'imagery, use the --channel-order option.')\n","path":"rastervision_core/rastervision/core/predictor.py"}],"string":"[\n {\n \"content\": \"from os.path import join\\nimport zipfile\\nimport logging\\n\\nfrom rastervision.pipeline import rv_config\\nfrom rastervision.pipeline.config import (build_config, upgrade_config)\\nfrom rastervision.pipeline.file_system.utils import (download_if_needed,\\n make_dir, file_to_json)\\nfrom rastervision.core.data.raster_source import ChannelOrderError\\nfrom rastervision.core.analyzer import StatsAnalyzerConfig\\n\\nlog = logging.getLogger(__name__)\\n\\n\\nclass Predictor():\\n \\\"\\\"\\\"Class for making predictions based off of a model bundle.\\\"\\\"\\\"\\n\\n def __init__(self,\\n model_bundle_uri,\\n tmp_dir,\\n update_stats=False,\\n channel_order=None):\\n \\\"\\\"\\\"Creates a new Predictor.\\n\\n Args:\\n model_bundle_uri: URI of the model bundle to use. Can be any\\n type of URI that Raster Vision can read.\\n tmp_dir: Temporary directory in which to store files that are used\\n by the Predictor. This directory is not cleaned up by this\\n class.\\n channel_order: Option for a new channel order to use for the\\n imagery being predicted against. If not present, the\\n channel_order from the original configuration in the predict\\n package will be used.\\n \\\"\\\"\\\"\\n self.tmp_dir = tmp_dir\\n self.update_stats = update_stats\\n self.model_loaded = False\\n\\n bundle_path = download_if_needed(model_bundle_uri, tmp_dir)\\n bundle_dir = join(tmp_dir, 'bundle')\\n make_dir(bundle_dir)\\n with zipfile.ZipFile(bundle_path, 'r') as bundle_zip:\\n bundle_zip.extractall(path=bundle_dir)\\n\\n config_path = join(bundle_dir, 'pipeline-config.json')\\n config_dict = file_to_json(config_path)\\n rv_config.set_everett_config(\\n config_overrides=config_dict.get('rv_config'))\\n config_dict = upgrade_config(config_dict)\\n self.config = build_config(config_dict)\\n self.scene = self.config.dataset.validation_scenes[0]\\n\\n if not hasattr(self.scene.raster_source, 'uris'):\\n raise Exception(\\n 'raster_source in model bundle must have uris as field')\\n\\n if not hasattr(self.scene.label_store, 'uri'):\\n raise Exception(\\n 'label_store in model bundle must have uri as field')\\n\\n for t in self.scene.raster_source.transformers:\\n t.update_root(bundle_dir)\\n\\n if self.update_stats:\\n stats_analyzer = StatsAnalyzerConfig(\\n output_uri=join(bundle_dir, 'stats.json'))\\n self.config.analyzers = [stats_analyzer]\\n\\n self.scene.label_source = None\\n self.scene.aoi_uris = None\\n self.config.dataset.train_scenes = [self.scene]\\n self.config.dataset.validation_scenes = [self.scene]\\n self.config.dataset.test_scenes = []\\n self.config.train_uri = bundle_dir\\n\\n if channel_order is not None:\\n self.scene.raster_source.channel_order = channel_order\\n\\n self.pipeline = None\\n\\n def predict(self, image_uris, label_uri, vector_label_uri=None):\\n \\\"\\\"\\\"Generate predictions for the given image.\\n\\n Args:\\n image_uris: URIs of the images to make predictions against.\\n This can be any type of URI readable by Raster Vision\\n FileSystems.\\n label_uri: URI to save labels off into\\n vector_label_uri: URI to save vectorized labels for semantic segmentation\\n model bundles that support it\\n \\\"\\\"\\\"\\n if self.pipeline is None:\\n self.scene.raster_source.uris = image_uris\\n self.pipeline = self.config.build(self.tmp_dir)\\n if not hasattr(self.pipeline, 'predict'):\\n raise Exception(\\n 'pipeline in model bundle must have predict method')\\n\\n try:\\n self.scene.raster_source.uris = image_uris\\n self.scene.label_store.uri = label_uri\\n if (hasattr(self.scene.label_store, 'vector_output')\\n and self.scene.label_store.vector_output):\\n if vector_label_uri:\\n for vo in self.scene.label_store.vector_output:\\n vo.uri = join(\\n vector_label_uri, '{}-{}.json'.format(\\n vo.class_id, vo.get_mode()))\\n else:\\n self.scene.label_store.vector_output = []\\n elif vector_label_uri:\\n log.warn(\\n 'vector_label_uri was supplied but this model bundle does not '\\n 'generate vector labels.')\\n\\n if self.update_stats:\\n self.pipeline.analyze()\\n self.pipeline.predict()\\n except ChannelOrderError:\\n raise ValueError(\\n 'The predict package is using a channel_order '\\n 'with channels unavailable in the imagery.\\\\nTo set a new '\\n 'channel_order that only uses channels available in the '\\n 'imagery, use the --channel-order option.')\\n\",\n \"path\": \"rastervision_core/rastervision/core/predictor.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"from os.path import join\nimport zipfile\nimport logging\n\nfrom rastervision.pipeline import rv_config\nfrom rastervision.pipeline.config import (build_config, upgrade_config)\nfrom rastervision.pipeline.file_system.utils import (download_if_needed,\n make_dir, file_to_json)\nfrom rastervision.core.data.raster_source import ChannelOrderError\nfrom rastervision.core.analyzer import StatsAnalyzerConfig\n\nlog = logging.getLogger(__name__)\n\n\nclass Predictor():\n \"\"\"Class for making predictions based off of a model bundle.\"\"\"\n\n def __init__(self,\n model_bundle_uri,\n tmp_dir,\n update_stats=False,\n channel_order=None):\n \"\"\"Creates a new Predictor.\n\n Args:\n model_bundle_uri: URI of the model bundle to use. Can be any\n type of URI that Raster Vision can read.\n tmp_dir: Temporary directory in which to store files that are used\n by the Predictor. This directory is not cleaned up by this\n class.\n channel_order: Option for a new channel order to use for the\n imagery being predicted against. If not present, the\n channel_order from the original configuration in the predict\n package will be used.\n \"\"\"\n self.tmp_dir = tmp_dir\n self.update_stats = update_stats\n self.model_loaded = False\n\n bundle_path = download_if_needed(model_bundle_uri, tmp_dir)\n bundle_dir = join(tmp_dir, 'bundle')\n make_dir(bundle_dir)\n with zipfile.ZipFile(bundle_path, 'r') as bundle_zip:\n bundle_zip.extractall(path=bundle_dir)\n\n config_path = join(bundle_dir, 'pipeline-config.json')\n config_dict = file_to_json(config_path)\n rv_config.set_everett_config(\n config_overrides=config_dict.get('rv_config'))\n config_dict = upgrade_config(config_dict)\n self.config = build_config(config_dict)\n self.scene = self.config.dataset.validation_scenes[0]\n\n if not hasattr(self.scene.raster_source, 'uris'):\n raise Exception(\n 'raster_source in model bundle must have uris as field')\n\n if not hasattr(self.scene.label_store, 'uri'):\n raise Exception(\n 'label_store in model bundle must have uri as field')\n\n for t in self.scene.raster_source.transformers:\n t.update_root(bundle_dir)\n\n if self.update_stats:\n stats_analyzer = StatsAnalyzerConfig(\n output_uri=join(bundle_dir, 'stats.json'))\n self.config.analyzers = [stats_analyzer]\n\n self.scene.label_source = None\n self.scene.aoi_uris = None\n self.scene.aoi_geometries = None\n self.scene.raster_source.extent_crop = None\n\n self.config.dataset.train_scenes = [self.scene]\n self.config.dataset.validation_scenes = [self.scene]\n self.config.dataset.test_scenes = []\n self.config.train_uri = bundle_dir\n\n if channel_order is not None:\n self.scene.raster_source.channel_order = channel_order\n\n self.pipeline = None\n\n def predict(self, image_uris, label_uri, vector_label_uri=None):\n \"\"\"Generate predictions for the given image.\n\n Args:\n image_uris: URIs of the images to make predictions against.\n This can be any type of URI readable by Raster Vision\n FileSystems.\n label_uri: URI to save labels off into\n vector_label_uri: URI to save vectorized labels for semantic segmentation\n model bundles that support it\n \"\"\"\n if self.pipeline is None:\n self.scene.raster_source.uris = image_uris\n self.pipeline = self.config.build(self.tmp_dir)\n if not hasattr(self.pipeline, 'predict'):\n raise Exception(\n 'pipeline in model bundle must have predict method')\n\n try:\n self.scene.raster_source.uris = image_uris\n self.scene.label_store.uri = label_uri\n if (hasattr(self.scene.label_store, 'vector_output')\n and self.scene.label_store.vector_output):\n if vector_label_uri:\n for vo in self.scene.label_store.vector_output:\n vo.uri = join(\n vector_label_uri, '{}-{}.json'.format(\n vo.class_id, vo.get_mode()))\n else:\n self.scene.label_store.vector_output = []\n elif vector_label_uri:\n log.warn(\n 'vector_label_uri was supplied but this model bundle does not '\n 'generate vector labels.')\n\n if self.update_stats:\n self.pipeline.analyze()\n self.pipeline.predict()\n except ChannelOrderError:\n raise ValueError(\n 'The predict package is using a channel_order '\n 'with channels unavailable in the imagery.\\nTo set a new '\n 'channel_order that only uses channels available in the '\n 'imagery, use the --channel-order option.')\n","path":"rastervision_core/rastervision/core/predictor.py"}],"string":"[\n {\n \"content\": \"from os.path import join\\nimport zipfile\\nimport logging\\n\\nfrom rastervision.pipeline import rv_config\\nfrom rastervision.pipeline.config import (build_config, upgrade_config)\\nfrom rastervision.pipeline.file_system.utils import (download_if_needed,\\n make_dir, file_to_json)\\nfrom rastervision.core.data.raster_source import ChannelOrderError\\nfrom rastervision.core.analyzer import StatsAnalyzerConfig\\n\\nlog = logging.getLogger(__name__)\\n\\n\\nclass Predictor():\\n \\\"\\\"\\\"Class for making predictions based off of a model bundle.\\\"\\\"\\\"\\n\\n def __init__(self,\\n model_bundle_uri,\\n tmp_dir,\\n update_stats=False,\\n channel_order=None):\\n \\\"\\\"\\\"Creates a new Predictor.\\n\\n Args:\\n model_bundle_uri: URI of the model bundle to use. Can be any\\n type of URI that Raster Vision can read.\\n tmp_dir: Temporary directory in which to store files that are used\\n by the Predictor. This directory is not cleaned up by this\\n class.\\n channel_order: Option for a new channel order to use for the\\n imagery being predicted against. If not present, the\\n channel_order from the original configuration in the predict\\n package will be used.\\n \\\"\\\"\\\"\\n self.tmp_dir = tmp_dir\\n self.update_stats = update_stats\\n self.model_loaded = False\\n\\n bundle_path = download_if_needed(model_bundle_uri, tmp_dir)\\n bundle_dir = join(tmp_dir, 'bundle')\\n make_dir(bundle_dir)\\n with zipfile.ZipFile(bundle_path, 'r') as bundle_zip:\\n bundle_zip.extractall(path=bundle_dir)\\n\\n config_path = join(bundle_dir, 'pipeline-config.json')\\n config_dict = file_to_json(config_path)\\n rv_config.set_everett_config(\\n config_overrides=config_dict.get('rv_config'))\\n config_dict = upgrade_config(config_dict)\\n self.config = build_config(config_dict)\\n self.scene = self.config.dataset.validation_scenes[0]\\n\\n if not hasattr(self.scene.raster_source, 'uris'):\\n raise Exception(\\n 'raster_source in model bundle must have uris as field')\\n\\n if not hasattr(self.scene.label_store, 'uri'):\\n raise Exception(\\n 'label_store in model bundle must have uri as field')\\n\\n for t in self.scene.raster_source.transformers:\\n t.update_root(bundle_dir)\\n\\n if self.update_stats:\\n stats_analyzer = StatsAnalyzerConfig(\\n output_uri=join(bundle_dir, 'stats.json'))\\n self.config.analyzers = [stats_analyzer]\\n\\n self.scene.label_source = None\\n self.scene.aoi_uris = None\\n self.scene.aoi_geometries = None\\n self.scene.raster_source.extent_crop = None\\n\\n self.config.dataset.train_scenes = [self.scene]\\n self.config.dataset.validation_scenes = [self.scene]\\n self.config.dataset.test_scenes = []\\n self.config.train_uri = bundle_dir\\n\\n if channel_order is not None:\\n self.scene.raster_source.channel_order = channel_order\\n\\n self.pipeline = None\\n\\n def predict(self, image_uris, label_uri, vector_label_uri=None):\\n \\\"\\\"\\\"Generate predictions for the given image.\\n\\n Args:\\n image_uris: URIs of the images to make predictions against.\\n This can be any type of URI readable by Raster Vision\\n FileSystems.\\n label_uri: URI to save labels off into\\n vector_label_uri: URI to save vectorized labels for semantic segmentation\\n model bundles that support it\\n \\\"\\\"\\\"\\n if self.pipeline is None:\\n self.scene.raster_source.uris = image_uris\\n self.pipeline = self.config.build(self.tmp_dir)\\n if not hasattr(self.pipeline, 'predict'):\\n raise Exception(\\n 'pipeline in model bundle must have predict method')\\n\\n try:\\n self.scene.raster_source.uris = image_uris\\n self.scene.label_store.uri = label_uri\\n if (hasattr(self.scene.label_store, 'vector_output')\\n and self.scene.label_store.vector_output):\\n if vector_label_uri:\\n for vo in self.scene.label_store.vector_output:\\n vo.uri = join(\\n vector_label_uri, '{}-{}.json'.format(\\n vo.class_id, vo.get_mode()))\\n else:\\n self.scene.label_store.vector_output = []\\n elif vector_label_uri:\\n log.warn(\\n 'vector_label_uri was supplied but this model bundle does not '\\n 'generate vector labels.')\\n\\n if self.update_stats:\\n self.pipeline.analyze()\\n self.pipeline.predict()\\n except ChannelOrderError:\\n raise ValueError(\\n 'The predict package is using a channel_order '\\n 'with channels unavailable in the imagery.\\\\nTo set a new '\\n 'channel_order that only uses channels available in the '\\n 'imagery, use the --channel-order option.')\\n\",\n \"path\": \"rastervision_core/rastervision/core/predictor.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/rastervision_core/rastervision/core/predictor.py b/rastervision_core/rastervision/core/predictor.py\nindex 96cc6a3b6..846e875f1 100644\n--- a/rastervision_core/rastervision/core/predictor.py\n+++ b/rastervision_core/rastervision/core/predictor.py\n@@ -69,6 +69,9 @@ def __init__(self,\n \n self.scene.label_source = None\n self.scene.aoi_uris = None\n+ self.scene.aoi_geometries = None\n+ self.scene.raster_source.extent_crop = None\n+\n self.config.dataset.train_scenes = [self.scene]\n self.config.dataset.validation_scenes = [self.scene]\n self.config.dataset.test_scenes = []\n"}}},{"rowIdx":6588,"cells":{"in_source_id":{"kind":"string","value":"ansible__ansible-38225"},"issue":{"kind":"string","value":"Invalid yml causes include_vars to hang or freeze without output\n<!---\r\nVerify first that your issue/request is not already reported on GitHub.\r\nAlso test if the latest release, and devel branch are affected too.\r\nAlways add information AFTER of these html comments.\r\n-->\r\n\r\nI made some attempt to sift through the 3,511 issues. Apology for adding yet another to this hopelessly large list. I did *not* set-up for development and try to reproduce.\r\n\r\n##### ISSUE TYPE\r\n<!--- Pick one below and delete the rest -->\r\n - Bug Report\r\n \r\n##### COMPONENT NAME\r\n<!---\r\nInsert below this comment the name of the module, plugin, task or feature.\r\nDo not include extra details here, e.g. \"vyos_command\" not \"the network module vyos_command\" or the full path\r\n-->\r\ninclude_vars\r\n\r\n##### ANSIBLE VERSION\r\n<!--- Paste verbatim output from \"ansible --version\" between quotes below -->\r\n```\r\nansible 2.4.3.0\r\n config file = /Users/dclo/Documents/ansible/ansible.cfg\r\n configured module search path = ['/Users/dclo/.ansible/plugins/modules', '/usr/share/ansible/plugins/modules']\r\n ansible python module location = /usr/local/lib/python3.6/site-packages/ansible\r\n executable location = /usr/local/bin/ansible\r\n python version = 3.6.4 (default, Mar 22 2018, 13:54:22) [GCC 4.2.1 Compatible Apple LLVM 9.0.0 (clang-900.0.39.2)]\r\n```\r\n\r\n##### CONFIGURATION\r\n<!---\r\nIf using Ansible 2.4 or above, paste the results of \"ansible-config dump --only-changed\"\r\nOtherwise, mention any settings you have changed/added/removed in ansible.cfg\r\n(or using the ANSIBLE_* environment variables).\r\n-->\r\n```\r\nDEFAULT_HOST_LIST(/Users/dclo/Documents/ansible/ansible.cfg) = ['/Users/dclo/Documents/ansible/staging']\r\nDEFAULT_VAULT_PASSWORD_FILE(/Users/dclo/Documents/ansible/ansible.cfg) = /Users/dclo/Documents/ansible/.vault_pass\r\n```\r\n\r\n##### OS / ENVIRONMENT\r\n<!---\r\nMention the OS you are running Ansible from, and the OS you are\r\nmanaging, or say \"N/A\" for anything that is not platform-specific.\r\nAlso mention the specific version of what you are trying to control,\r\ne.g. if this is a network bug the version of firmware on the network device.\r\n-->\r\nmacOS High Sierra 10.13.3\r\n\r\n##### SUMMARY\r\n<!--- Explain the problem briefly -->\r\n`ansible-playbook test.yml -vvv` outputs the beginning of the `include_vars` task and then hangs.\r\n\r\n##### STEPS TO REPRODUCE\r\n<!---\r\nFor bugs, show exactly how to reproduce the problem, using a minimal test-case.\r\nFor new features, show how the feature would be used.\r\n-->\r\n- Create a vars file with ansible-vault (create/edit) that has malformed yaml.\r\n- Include it in the playbook.\r\n\r\n<!--- Paste example playbooks or commands between quotes below -->\r\n```yaml\r\n---\r\n- hosts: all\r\n gather_facts: no\r\n tasks:\r\n - include_vars: \"vars/vault.yml\"\r\n```\r\n\r\n<!--- You can also paste gist.github.com links for larger files -->\r\n\r\n##### EXPECTED RESULTS\r\n<!--- What did you expect to happen when running the steps above? -->\r\nAnsible outputs syntax error on the yaml file.\r\n\r\n##### ACTUAL RESULTS\r\n<!--- What actually happened? If possible run with extra verbosity (-vvvv) -->\r\nAnsible hangs\r\n\r\n<!--- Paste verbatim command output between quotes below -->\r\n```\r\nTASK [include_vars] ********************************************************************************\r\ntask path: /Users/dclo/Documents/ansible/test.yml:5\r\n^CProcess WorkerProcess-2:\r\n [ERROR]: User interrupted execution\r\n```\r\n\n"},"before_files":{"kind":"list like","value":[{"content":"# (c) 2016, Allen Sanabria <asanabria@linuxdynasty.org>\n#\n# This file is part of Ansible\n#\n# Ansible is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# Ansible is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with Ansible. If not, see <http://www.gnu.org/licenses/>.\n\nfrom __future__ import (absolute_import, division, print_function)\n__metaclass__ = type\n\nfrom os import path, walk\nimport re\n\nfrom ansible.errors import AnsibleError\nfrom ansible.module_utils.six import string_types\nfrom ansible.module_utils._text import to_native, to_text\nfrom ansible.plugins.action import ActionBase\n\n\nclass ActionModule(ActionBase):\n\n TRANSFERS_FILES = False\n\n VALID_FILE_EXTENSIONS = ['yaml', 'yml', 'json']\n VALID_DIR_ARGUMENTS = ['dir', 'depth', 'files_matching', 'ignore_files', 'extensions']\n VALID_FILE_ARGUMENTS = ['file', '_raw_params']\n VALID_ALL = ['name']\n\n def _set_dir_defaults(self):\n if not self.depth:\n self.depth = 0\n\n if self.files_matching:\n self.matcher = re.compile(r'{0}'.format(self.files_matching))\n else:\n self.matcher = None\n\n if not self.ignore_files:\n self.ignore_files = list()\n\n if isinstance(self.ignore_files, str):\n self.ignore_files = self.ignore_files.split()\n\n elif isinstance(self.ignore_files, dict):\n return {\n 'failed': True,\n 'message': '{0} must be a list'.format(self.ignore_files)\n }\n\n def _set_args(self):\n \"\"\" Set instance variables based on the arguments that were passed \"\"\"\n\n self.return_results_as_name = self._task.args.get('name', None)\n self.source_dir = self._task.args.get('dir', None)\n self.source_file = self._task.args.get('file', None)\n if not self.source_dir and not self.source_file:\n self.source_file = self._task.args.get('_raw_params')\n\n self.depth = self._task.args.get('depth', None)\n self.files_matching = self._task.args.get('files_matching', None)\n self.ignore_files = self._task.args.get('ignore_files', None)\n self.valid_extensions = self._task.args.get('extensions', self.VALID_FILE_EXTENSIONS)\n\n # convert/validate extensions list\n if isinstance(self.valid_extensions, string_types):\n self.valid_extensions = list(self.valid_extensions)\n if not isinstance(self.valid_extensions, list):\n raise AnsibleError('Invalid type for \"extensions\" option, it must be a list')\n\n def run(self, tmp=None, task_vars=None):\n \"\"\" Load yml files recursively from a directory.\n \"\"\"\n del tmp # tmp no longer has any effect\n\n if task_vars is None:\n task_vars = dict()\n\n self.show_content = True\n self.included_files = []\n\n # Validate arguments\n dirs = 0\n files = 0\n for arg in self._task.args:\n if arg in self.VALID_DIR_ARGUMENTS:\n dirs += 1\n elif arg in self.VALID_FILE_ARGUMENTS:\n files += 1\n elif arg in self.VALID_ALL:\n pass\n else:\n raise AnsibleError('{0} is not a valid option in debug'.format(arg))\n\n if dirs and files:\n raise AnsibleError(\"Your are mixing file only and dir only arguments, these are incompatible\")\n\n # set internal vars from args\n self._set_args()\n\n results = dict()\n if self.source_dir:\n self._set_dir_defaults()\n self._set_root_dir()\n if not path.exists(self.source_dir):\n failed = True\n err_msg = ('{0} directory does not exist'.format(self.source_dir))\n elif not path.isdir(self.source_dir):\n failed = True\n err_msg = ('{0} is not a directory'.format(self.source_dir))\n else:\n for root_dir, filenames in self._traverse_dir_depth():\n failed, err_msg, updated_results = (self._load_files_in_dir(root_dir, filenames))\n if failed:\n break\n results.update(updated_results)\n else:\n try:\n self.source_file = self._find_needle('vars', self.source_file)\n failed, err_msg, updated_results = (\n self._load_files(self.source_file)\n )\n if not failed:\n results.update(updated_results)\n\n except AnsibleError as e:\n failed = True\n err_msg = to_native(e)\n\n if self.return_results_as_name:\n scope = dict()\n scope[self.return_results_as_name] = results\n results = scope\n\n result = super(ActionModule, self).run(task_vars=task_vars)\n\n if failed:\n result['failed'] = failed\n result['message'] = err_msg\n\n result['ansible_included_var_files'] = self.included_files\n result['ansible_facts'] = results\n result['_ansible_no_log'] = not self.show_content\n\n return result\n\n def _set_root_dir(self):\n if self._task._role:\n if self.source_dir.split('/')[0] == 'vars':\n path_to_use = (\n path.join(self._task._role._role_path, self.source_dir)\n )\n if path.exists(path_to_use):\n self.source_dir = path_to_use\n else:\n path_to_use = (\n path.join(\n self._task._role._role_path, 'vars', self.source_dir\n )\n )\n self.source_dir = path_to_use\n else:\n current_dir = (\n \"/\".join(self._task._ds._data_source.split('/')[:-1])\n )\n self.source_dir = path.join(current_dir, self.source_dir)\n\n def _traverse_dir_depth(self):\n \"\"\" Recursively iterate over a directory and sort the files in\n alphabetical order. Do not iterate pass the set depth.\n The default depth is unlimited.\n \"\"\"\n current_depth = 0\n sorted_walk = list(walk(self.source_dir))\n sorted_walk.sort(key=lambda x: x[0])\n for current_root, current_dir, current_files in sorted_walk:\n current_depth += 1\n if current_depth <= self.depth or self.depth == 0:\n current_files.sort()\n yield (current_root, current_files)\n else:\n break\n\n def _ignore_file(self, filename):\n \"\"\" Return True if a file matches the list of ignore_files.\n Args:\n filename (str): The filename that is being matched against.\n\n Returns:\n Boolean\n \"\"\"\n for file_type in self.ignore_files:\n try:\n if re.search(r'{0}$'.format(file_type), filename):\n return True\n except Exception:\n err_msg = 'Invalid regular expression: {0}'.format(file_type)\n raise AnsibleError(err_msg)\n return False\n\n def _is_valid_file_ext(self, source_file):\n \"\"\" Verify if source file has a valid extension\n Args:\n source_file (str): The full path of source file or source file.\n Returns:\n Bool\n \"\"\"\n file_ext = path.splitext(source_file)\n return bool(len(file_ext) > 1 and file_ext[-1][1:] in self.valid_extensions)\n\n def _load_files(self, filename, validate_extensions=False):\n \"\"\" Loads a file and converts the output into a valid Python dict.\n Args:\n filename (str): The source file.\n\n Returns:\n Tuple (bool, str, dict)\n \"\"\"\n results = dict()\n failed = False\n err_msg = ''\n if validate_extensions and not self._is_valid_file_ext(filename):\n failed = True\n err_msg = ('{0} does not have a valid extension: {1}' .format(filename, ', '.join(self.valid_extensions)))\n else:\n b_data, show_content = self._loader._get_file_contents(filename)\n data = to_text(b_data, errors='surrogate_or_strict')\n\n self.show_content = show_content\n data = self._loader.load(data, show_content)\n if not data:\n data = dict()\n if not isinstance(data, dict):\n failed = True\n err_msg = ('{0} must be stored as a dictionary/hash' .format(filename))\n else:\n self.included_files.append(filename)\n results.update(data)\n\n return failed, err_msg, results\n\n def _load_files_in_dir(self, root_dir, var_files):\n \"\"\" Load the found yml files and update/overwrite the dictionary.\n Args:\n root_dir (str): The base directory of the list of files that is being passed.\n var_files: (list): List of files to iterate over and load into a dictionary.\n\n Returns:\n Tuple (bool, str, dict)\n \"\"\"\n results = dict()\n failed = False\n err_msg = ''\n for filename in var_files:\n stop_iter = False\n # Never include main.yml from a role, as that is the default included by the role\n if self._task._role:\n if filename == 'main.yml':\n stop_iter = True\n continue\n\n filepath = path.join(root_dir, filename)\n if self.files_matching:\n if not self.matcher.search(filename):\n stop_iter = True\n\n if not stop_iter and not failed:\n if path.exists(filepath) and not self._ignore_file(filename):\n failed, err_msg, loaded_data = self._load_files(filepath, validate_extensions=True)\n if not failed:\n results.update(loaded_data)\n\n return failed, err_msg, results\n","path":"lib/ansible/plugins/action/include_vars.py"}],"string":"[\n {\n \"content\": \"# (c) 2016, Allen Sanabria <asanabria@linuxdynasty.org>\\n#\\n# This file is part of Ansible\\n#\\n# Ansible is free software: you can redistribute it and/or modify\\n# it under the terms of the GNU General Public License as published by\\n# the Free Software Foundation, either version 3 of the License, or\\n# (at your option) any later version.\\n#\\n# Ansible is distributed in the hope that it will be useful,\\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\\n# GNU General Public License for more details.\\n#\\n# You should have received a copy of the GNU General Public License\\n# along with Ansible. If not, see <http://www.gnu.org/licenses/>.\\n\\nfrom __future__ import (absolute_import, division, print_function)\\n__metaclass__ = type\\n\\nfrom os import path, walk\\nimport re\\n\\nfrom ansible.errors import AnsibleError\\nfrom ansible.module_utils.six import string_types\\nfrom ansible.module_utils._text import to_native, to_text\\nfrom ansible.plugins.action import ActionBase\\n\\n\\nclass ActionModule(ActionBase):\\n\\n TRANSFERS_FILES = False\\n\\n VALID_FILE_EXTENSIONS = ['yaml', 'yml', 'json']\\n VALID_DIR_ARGUMENTS = ['dir', 'depth', 'files_matching', 'ignore_files', 'extensions']\\n VALID_FILE_ARGUMENTS = ['file', '_raw_params']\\n VALID_ALL = ['name']\\n\\n def _set_dir_defaults(self):\\n if not self.depth:\\n self.depth = 0\\n\\n if self.files_matching:\\n self.matcher = re.compile(r'{0}'.format(self.files_matching))\\n else:\\n self.matcher = None\\n\\n if not self.ignore_files:\\n self.ignore_files = list()\\n\\n if isinstance(self.ignore_files, str):\\n self.ignore_files = self.ignore_files.split()\\n\\n elif isinstance(self.ignore_files, dict):\\n return {\\n 'failed': True,\\n 'message': '{0} must be a list'.format(self.ignore_files)\\n }\\n\\n def _set_args(self):\\n \\\"\\\"\\\" Set instance variables based on the arguments that were passed \\\"\\\"\\\"\\n\\n self.return_results_as_name = self._task.args.get('name', None)\\n self.source_dir = self._task.args.get('dir', None)\\n self.source_file = self._task.args.get('file', None)\\n if not self.source_dir and not self.source_file:\\n self.source_file = self._task.args.get('_raw_params')\\n\\n self.depth = self._task.args.get('depth', None)\\n self.files_matching = self._task.args.get('files_matching', None)\\n self.ignore_files = self._task.args.get('ignore_files', None)\\n self.valid_extensions = self._task.args.get('extensions', self.VALID_FILE_EXTENSIONS)\\n\\n # convert/validate extensions list\\n if isinstance(self.valid_extensions, string_types):\\n self.valid_extensions = list(self.valid_extensions)\\n if not isinstance(self.valid_extensions, list):\\n raise AnsibleError('Invalid type for \\\"extensions\\\" option, it must be a list')\\n\\n def run(self, tmp=None, task_vars=None):\\n \\\"\\\"\\\" Load yml files recursively from a directory.\\n \\\"\\\"\\\"\\n del tmp # tmp no longer has any effect\\n\\n if task_vars is None:\\n task_vars = dict()\\n\\n self.show_content = True\\n self.included_files = []\\n\\n # Validate arguments\\n dirs = 0\\n files = 0\\n for arg in self._task.args:\\n if arg in self.VALID_DIR_ARGUMENTS:\\n dirs += 1\\n elif arg in self.VALID_FILE_ARGUMENTS:\\n files += 1\\n elif arg in self.VALID_ALL:\\n pass\\n else:\\n raise AnsibleError('{0} is not a valid option in debug'.format(arg))\\n\\n if dirs and files:\\n raise AnsibleError(\\\"Your are mixing file only and dir only arguments, these are incompatible\\\")\\n\\n # set internal vars from args\\n self._set_args()\\n\\n results = dict()\\n if self.source_dir:\\n self._set_dir_defaults()\\n self._set_root_dir()\\n if not path.exists(self.source_dir):\\n failed = True\\n err_msg = ('{0} directory does not exist'.format(self.source_dir))\\n elif not path.isdir(self.source_dir):\\n failed = True\\n err_msg = ('{0} is not a directory'.format(self.source_dir))\\n else:\\n for root_dir, filenames in self._traverse_dir_depth():\\n failed, err_msg, updated_results = (self._load_files_in_dir(root_dir, filenames))\\n if failed:\\n break\\n results.update(updated_results)\\n else:\\n try:\\n self.source_file = self._find_needle('vars', self.source_file)\\n failed, err_msg, updated_results = (\\n self._load_files(self.source_file)\\n )\\n if not failed:\\n results.update(updated_results)\\n\\n except AnsibleError as e:\\n failed = True\\n err_msg = to_native(e)\\n\\n if self.return_results_as_name:\\n scope = dict()\\n scope[self.return_results_as_name] = results\\n results = scope\\n\\n result = super(ActionModule, self).run(task_vars=task_vars)\\n\\n if failed:\\n result['failed'] = failed\\n result['message'] = err_msg\\n\\n result['ansible_included_var_files'] = self.included_files\\n result['ansible_facts'] = results\\n result['_ansible_no_log'] = not self.show_content\\n\\n return result\\n\\n def _set_root_dir(self):\\n if self._task._role:\\n if self.source_dir.split('/')[0] == 'vars':\\n path_to_use = (\\n path.join(self._task._role._role_path, self.source_dir)\\n )\\n if path.exists(path_to_use):\\n self.source_dir = path_to_use\\n else:\\n path_to_use = (\\n path.join(\\n self._task._role._role_path, 'vars', self.source_dir\\n )\\n )\\n self.source_dir = path_to_use\\n else:\\n current_dir = (\\n \\\"/\\\".join(self._task._ds._data_source.split('/')[:-1])\\n )\\n self.source_dir = path.join(current_dir, self.source_dir)\\n\\n def _traverse_dir_depth(self):\\n \\\"\\\"\\\" Recursively iterate over a directory and sort the files in\\n alphabetical order. Do not iterate pass the set depth.\\n The default depth is unlimited.\\n \\\"\\\"\\\"\\n current_depth = 0\\n sorted_walk = list(walk(self.source_dir))\\n sorted_walk.sort(key=lambda x: x[0])\\n for current_root, current_dir, current_files in sorted_walk:\\n current_depth += 1\\n if current_depth <= self.depth or self.depth == 0:\\n current_files.sort()\\n yield (current_root, current_files)\\n else:\\n break\\n\\n def _ignore_file(self, filename):\\n \\\"\\\"\\\" Return True if a file matches the list of ignore_files.\\n Args:\\n filename (str): The filename that is being matched against.\\n\\n Returns:\\n Boolean\\n \\\"\\\"\\\"\\n for file_type in self.ignore_files:\\n try:\\n if re.search(r'{0}$'.format(file_type), filename):\\n return True\\n except Exception:\\n err_msg = 'Invalid regular expression: {0}'.format(file_type)\\n raise AnsibleError(err_msg)\\n return False\\n\\n def _is_valid_file_ext(self, source_file):\\n \\\"\\\"\\\" Verify if source file has a valid extension\\n Args:\\n source_file (str): The full path of source file or source file.\\n Returns:\\n Bool\\n \\\"\\\"\\\"\\n file_ext = path.splitext(source_file)\\n return bool(len(file_ext) > 1 and file_ext[-1][1:] in self.valid_extensions)\\n\\n def _load_files(self, filename, validate_extensions=False):\\n \\\"\\\"\\\" Loads a file and converts the output into a valid Python dict.\\n Args:\\n filename (str): The source file.\\n\\n Returns:\\n Tuple (bool, str, dict)\\n \\\"\\\"\\\"\\n results = dict()\\n failed = False\\n err_msg = ''\\n if validate_extensions and not self._is_valid_file_ext(filename):\\n failed = True\\n err_msg = ('{0} does not have a valid extension: {1}' .format(filename, ', '.join(self.valid_extensions)))\\n else:\\n b_data, show_content = self._loader._get_file_contents(filename)\\n data = to_text(b_data, errors='surrogate_or_strict')\\n\\n self.show_content = show_content\\n data = self._loader.load(data, show_content)\\n if not data:\\n data = dict()\\n if not isinstance(data, dict):\\n failed = True\\n err_msg = ('{0} must be stored as a dictionary/hash' .format(filename))\\n else:\\n self.included_files.append(filename)\\n results.update(data)\\n\\n return failed, err_msg, results\\n\\n def _load_files_in_dir(self, root_dir, var_files):\\n \\\"\\\"\\\" Load the found yml files and update/overwrite the dictionary.\\n Args:\\n root_dir (str): The base directory of the list of files that is being passed.\\n var_files: (list): List of files to iterate over and load into a dictionary.\\n\\n Returns:\\n Tuple (bool, str, dict)\\n \\\"\\\"\\\"\\n results = dict()\\n failed = False\\n err_msg = ''\\n for filename in var_files:\\n stop_iter = False\\n # Never include main.yml from a role, as that is the default included by the role\\n if self._task._role:\\n if filename == 'main.yml':\\n stop_iter = True\\n continue\\n\\n filepath = path.join(root_dir, filename)\\n if self.files_matching:\\n if not self.matcher.search(filename):\\n stop_iter = True\\n\\n if not stop_iter and not failed:\\n if path.exists(filepath) and not self._ignore_file(filename):\\n failed, err_msg, loaded_data = self._load_files(filepath, validate_extensions=True)\\n if not failed:\\n results.update(loaded_data)\\n\\n return failed, err_msg, results\\n\",\n \"path\": \"lib/ansible/plugins/action/include_vars.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"# (c) 2016, Allen Sanabria <asanabria@linuxdynasty.org>\n#\n# This file is part of Ansible\n#\n# Ansible is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# Ansible is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with Ansible. If not, see <http://www.gnu.org/licenses/>.\n\nfrom __future__ import (absolute_import, division, print_function)\n__metaclass__ = type\n\nfrom os import path, walk\nimport re\n\nfrom ansible.errors import AnsibleError\nfrom ansible.module_utils.six import string_types\nfrom ansible.module_utils._text import to_native, to_text\nfrom ansible.plugins.action import ActionBase\n\n\nclass ActionModule(ActionBase):\n\n TRANSFERS_FILES = False\n\n VALID_FILE_EXTENSIONS = ['yaml', 'yml', 'json']\n VALID_DIR_ARGUMENTS = ['dir', 'depth', 'files_matching', 'ignore_files', 'extensions']\n VALID_FILE_ARGUMENTS = ['file', '_raw_params']\n VALID_ALL = ['name']\n\n def _set_dir_defaults(self):\n if not self.depth:\n self.depth = 0\n\n if self.files_matching:\n self.matcher = re.compile(r'{0}'.format(self.files_matching))\n else:\n self.matcher = None\n\n if not self.ignore_files:\n self.ignore_files = list()\n\n if isinstance(self.ignore_files, str):\n self.ignore_files = self.ignore_files.split()\n\n elif isinstance(self.ignore_files, dict):\n return {\n 'failed': True,\n 'message': '{0} must be a list'.format(self.ignore_files)\n }\n\n def _set_args(self):\n \"\"\" Set instance variables based on the arguments that were passed \"\"\"\n\n self.return_results_as_name = self._task.args.get('name', None)\n self.source_dir = self._task.args.get('dir', None)\n self.source_file = self._task.args.get('file', None)\n if not self.source_dir and not self.source_file:\n self.source_file = self._task.args.get('_raw_params')\n\n self.depth = self._task.args.get('depth', None)\n self.files_matching = self._task.args.get('files_matching', None)\n self.ignore_files = self._task.args.get('ignore_files', None)\n self.valid_extensions = self._task.args.get('extensions', self.VALID_FILE_EXTENSIONS)\n\n # convert/validate extensions list\n if isinstance(self.valid_extensions, string_types):\n self.valid_extensions = list(self.valid_extensions)\n if not isinstance(self.valid_extensions, list):\n raise AnsibleError('Invalid type for \"extensions\" option, it must be a list')\n\n def run(self, tmp=None, task_vars=None):\n \"\"\" Load yml files recursively from a directory.\n \"\"\"\n del tmp # tmp no longer has any effect\n\n if task_vars is None:\n task_vars = dict()\n\n self.show_content = True\n self.included_files = []\n\n # Validate arguments\n dirs = 0\n files = 0\n for arg in self._task.args:\n if arg in self.VALID_DIR_ARGUMENTS:\n dirs += 1\n elif arg in self.VALID_FILE_ARGUMENTS:\n files += 1\n elif arg in self.VALID_ALL:\n pass\n else:\n raise AnsibleError('{0} is not a valid option in debug'.format(arg))\n\n if dirs and files:\n raise AnsibleError(\"Your are mixing file only and dir only arguments, these are incompatible\")\n\n # set internal vars from args\n self._set_args()\n\n results = dict()\n if self.source_dir:\n self._set_dir_defaults()\n self._set_root_dir()\n if not path.exists(self.source_dir):\n failed = True\n err_msg = ('{0} directory does not exist'.format(self.source_dir))\n elif not path.isdir(self.source_dir):\n failed = True\n err_msg = ('{0} is not a directory'.format(self.source_dir))\n else:\n for root_dir, filenames in self._traverse_dir_depth():\n failed, err_msg, updated_results = (self._load_files_in_dir(root_dir, filenames))\n if failed:\n break\n results.update(updated_results)\n else:\n try:\n self.source_file = self._find_needle('vars', self.source_file)\n failed, err_msg, updated_results = (\n self._load_files(self.source_file)\n )\n if not failed:\n results.update(updated_results)\n\n except AnsibleError as e:\n failed = True\n err_msg = to_native(e)\n\n if self.return_results_as_name:\n scope = dict()\n scope[self.return_results_as_name] = results\n results = scope\n\n result = super(ActionModule, self).run(task_vars=task_vars)\n\n if failed:\n result['failed'] = failed\n result['message'] = err_msg\n\n result['ansible_included_var_files'] = self.included_files\n result['ansible_facts'] = results\n result['_ansible_no_log'] = not self.show_content\n\n return result\n\n def _set_root_dir(self):\n if self._task._role:\n if self.source_dir.split('/')[0] == 'vars':\n path_to_use = (\n path.join(self._task._role._role_path, self.source_dir)\n )\n if path.exists(path_to_use):\n self.source_dir = path_to_use\n else:\n path_to_use = (\n path.join(\n self._task._role._role_path, 'vars', self.source_dir\n )\n )\n self.source_dir = path_to_use\n else:\n current_dir = (\n \"/\".join(self._task._ds._data_source.split('/')[:-1])\n )\n self.source_dir = path.join(current_dir, self.source_dir)\n\n def _traverse_dir_depth(self):\n \"\"\" Recursively iterate over a directory and sort the files in\n alphabetical order. Do not iterate pass the set depth.\n The default depth is unlimited.\n \"\"\"\n current_depth = 0\n sorted_walk = list(walk(self.source_dir))\n sorted_walk.sort(key=lambda x: x[0])\n for current_root, current_dir, current_files in sorted_walk:\n current_depth += 1\n if current_depth <= self.depth or self.depth == 0:\n current_files.sort()\n yield (current_root, current_files)\n else:\n break\n\n def _ignore_file(self, filename):\n \"\"\" Return True if a file matches the list of ignore_files.\n Args:\n filename (str): The filename that is being matched against.\n\n Returns:\n Boolean\n \"\"\"\n for file_type in self.ignore_files:\n try:\n if re.search(r'{0}$'.format(file_type), filename):\n return True\n except Exception:\n err_msg = 'Invalid regular expression: {0}'.format(file_type)\n raise AnsibleError(err_msg)\n return False\n\n def _is_valid_file_ext(self, source_file):\n \"\"\" Verify if source file has a valid extension\n Args:\n source_file (str): The full path of source file or source file.\n Returns:\n Bool\n \"\"\"\n file_ext = path.splitext(source_file)\n return bool(len(file_ext) > 1 and file_ext[-1][1:] in self.valid_extensions)\n\n def _load_files(self, filename, validate_extensions=False):\n \"\"\" Loads a file and converts the output into a valid Python dict.\n Args:\n filename (str): The source file.\n\n Returns:\n Tuple (bool, str, dict)\n \"\"\"\n results = dict()\n failed = False\n err_msg = ''\n if validate_extensions and not self._is_valid_file_ext(filename):\n failed = True\n err_msg = ('{0} does not have a valid extension: {1}' .format(filename, ', '.join(self.valid_extensions)))\n else:\n b_data, show_content = self._loader._get_file_contents(filename)\n data = to_text(b_data, errors='surrogate_or_strict')\n\n self.show_content = show_content\n data = self._loader.load(data, file_name=filename, show_content=show_content)\n if not data:\n data = dict()\n if not isinstance(data, dict):\n failed = True\n err_msg = ('{0} must be stored as a dictionary/hash' .format(filename))\n else:\n self.included_files.append(filename)\n results.update(data)\n\n return failed, err_msg, results\n\n def _load_files_in_dir(self, root_dir, var_files):\n \"\"\" Load the found yml files and update/overwrite the dictionary.\n Args:\n root_dir (str): The base directory of the list of files that is being passed.\n var_files: (list): List of files to iterate over and load into a dictionary.\n\n Returns:\n Tuple (bool, str, dict)\n \"\"\"\n results = dict()\n failed = False\n err_msg = ''\n for filename in var_files:\n stop_iter = False\n # Never include main.yml from a role, as that is the default included by the role\n if self._task._role:\n if filename == 'main.yml':\n stop_iter = True\n continue\n\n filepath = path.join(root_dir, filename)\n if self.files_matching:\n if not self.matcher.search(filename):\n stop_iter = True\n\n if not stop_iter and not failed:\n if path.exists(filepath) and not self._ignore_file(filename):\n failed, err_msg, loaded_data = self._load_files(filepath, validate_extensions=True)\n if not failed:\n results.update(loaded_data)\n\n return failed, err_msg, results\n","path":"lib/ansible/plugins/action/include_vars.py"}],"string":"[\n {\n \"content\": \"# (c) 2016, Allen Sanabria <asanabria@linuxdynasty.org>\\n#\\n# This file is part of Ansible\\n#\\n# Ansible is free software: you can redistribute it and/or modify\\n# it under the terms of the GNU General Public License as published by\\n# the Free Software Foundation, either version 3 of the License, or\\n# (at your option) any later version.\\n#\\n# Ansible is distributed in the hope that it will be useful,\\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\\n# GNU General Public License for more details.\\n#\\n# You should have received a copy of the GNU General Public License\\n# along with Ansible. If not, see <http://www.gnu.org/licenses/>.\\n\\nfrom __future__ import (absolute_import, division, print_function)\\n__metaclass__ = type\\n\\nfrom os import path, walk\\nimport re\\n\\nfrom ansible.errors import AnsibleError\\nfrom ansible.module_utils.six import string_types\\nfrom ansible.module_utils._text import to_native, to_text\\nfrom ansible.plugins.action import ActionBase\\n\\n\\nclass ActionModule(ActionBase):\\n\\n TRANSFERS_FILES = False\\n\\n VALID_FILE_EXTENSIONS = ['yaml', 'yml', 'json']\\n VALID_DIR_ARGUMENTS = ['dir', 'depth', 'files_matching', 'ignore_files', 'extensions']\\n VALID_FILE_ARGUMENTS = ['file', '_raw_params']\\n VALID_ALL = ['name']\\n\\n def _set_dir_defaults(self):\\n if not self.depth:\\n self.depth = 0\\n\\n if self.files_matching:\\n self.matcher = re.compile(r'{0}'.format(self.files_matching))\\n else:\\n self.matcher = None\\n\\n if not self.ignore_files:\\n self.ignore_files = list()\\n\\n if isinstance(self.ignore_files, str):\\n self.ignore_files = self.ignore_files.split()\\n\\n elif isinstance(self.ignore_files, dict):\\n return {\\n 'failed': True,\\n 'message': '{0} must be a list'.format(self.ignore_files)\\n }\\n\\n def _set_args(self):\\n \\\"\\\"\\\" Set instance variables based on the arguments that were passed \\\"\\\"\\\"\\n\\n self.return_results_as_name = self._task.args.get('name', None)\\n self.source_dir = self._task.args.get('dir', None)\\n self.source_file = self._task.args.get('file', None)\\n if not self.source_dir and not self.source_file:\\n self.source_file = self._task.args.get('_raw_params')\\n\\n self.depth = self._task.args.get('depth', None)\\n self.files_matching = self._task.args.get('files_matching', None)\\n self.ignore_files = self._task.args.get('ignore_files', None)\\n self.valid_extensions = self._task.args.get('extensions', self.VALID_FILE_EXTENSIONS)\\n\\n # convert/validate extensions list\\n if isinstance(self.valid_extensions, string_types):\\n self.valid_extensions = list(self.valid_extensions)\\n if not isinstance(self.valid_extensions, list):\\n raise AnsibleError('Invalid type for \\\"extensions\\\" option, it must be a list')\\n\\n def run(self, tmp=None, task_vars=None):\\n \\\"\\\"\\\" Load yml files recursively from a directory.\\n \\\"\\\"\\\"\\n del tmp # tmp no longer has any effect\\n\\n if task_vars is None:\\n task_vars = dict()\\n\\n self.show_content = True\\n self.included_files = []\\n\\n # Validate arguments\\n dirs = 0\\n files = 0\\n for arg in self._task.args:\\n if arg in self.VALID_DIR_ARGUMENTS:\\n dirs += 1\\n elif arg in self.VALID_FILE_ARGUMENTS:\\n files += 1\\n elif arg in self.VALID_ALL:\\n pass\\n else:\\n raise AnsibleError('{0} is not a valid option in debug'.format(arg))\\n\\n if dirs and files:\\n raise AnsibleError(\\\"Your are mixing file only and dir only arguments, these are incompatible\\\")\\n\\n # set internal vars from args\\n self._set_args()\\n\\n results = dict()\\n if self.source_dir:\\n self._set_dir_defaults()\\n self._set_root_dir()\\n if not path.exists(self.source_dir):\\n failed = True\\n err_msg = ('{0} directory does not exist'.format(self.source_dir))\\n elif not path.isdir(self.source_dir):\\n failed = True\\n err_msg = ('{0} is not a directory'.format(self.source_dir))\\n else:\\n for root_dir, filenames in self._traverse_dir_depth():\\n failed, err_msg, updated_results = (self._load_files_in_dir(root_dir, filenames))\\n if failed:\\n break\\n results.update(updated_results)\\n else:\\n try:\\n self.source_file = self._find_needle('vars', self.source_file)\\n failed, err_msg, updated_results = (\\n self._load_files(self.source_file)\\n )\\n if not failed:\\n results.update(updated_results)\\n\\n except AnsibleError as e:\\n failed = True\\n err_msg = to_native(e)\\n\\n if self.return_results_as_name:\\n scope = dict()\\n scope[self.return_results_as_name] = results\\n results = scope\\n\\n result = super(ActionModule, self).run(task_vars=task_vars)\\n\\n if failed:\\n result['failed'] = failed\\n result['message'] = err_msg\\n\\n result['ansible_included_var_files'] = self.included_files\\n result['ansible_facts'] = results\\n result['_ansible_no_log'] = not self.show_content\\n\\n return result\\n\\n def _set_root_dir(self):\\n if self._task._role:\\n if self.source_dir.split('/')[0] == 'vars':\\n path_to_use = (\\n path.join(self._task._role._role_path, self.source_dir)\\n )\\n if path.exists(path_to_use):\\n self.source_dir = path_to_use\\n else:\\n path_to_use = (\\n path.join(\\n self._task._role._role_path, 'vars', self.source_dir\\n )\\n )\\n self.source_dir = path_to_use\\n else:\\n current_dir = (\\n \\\"/\\\".join(self._task._ds._data_source.split('/')[:-1])\\n )\\n self.source_dir = path.join(current_dir, self.source_dir)\\n\\n def _traverse_dir_depth(self):\\n \\\"\\\"\\\" Recursively iterate over a directory and sort the files in\\n alphabetical order. Do not iterate pass the set depth.\\n The default depth is unlimited.\\n \\\"\\\"\\\"\\n current_depth = 0\\n sorted_walk = list(walk(self.source_dir))\\n sorted_walk.sort(key=lambda x: x[0])\\n for current_root, current_dir, current_files in sorted_walk:\\n current_depth += 1\\n if current_depth <= self.depth or self.depth == 0:\\n current_files.sort()\\n yield (current_root, current_files)\\n else:\\n break\\n\\n def _ignore_file(self, filename):\\n \\\"\\\"\\\" Return True if a file matches the list of ignore_files.\\n Args:\\n filename (str): The filename that is being matched against.\\n\\n Returns:\\n Boolean\\n \\\"\\\"\\\"\\n for file_type in self.ignore_files:\\n try:\\n if re.search(r'{0}$'.format(file_type), filename):\\n return True\\n except Exception:\\n err_msg = 'Invalid regular expression: {0}'.format(file_type)\\n raise AnsibleError(err_msg)\\n return False\\n\\n def _is_valid_file_ext(self, source_file):\\n \\\"\\\"\\\" Verify if source file has a valid extension\\n Args:\\n source_file (str): The full path of source file or source file.\\n Returns:\\n Bool\\n \\\"\\\"\\\"\\n file_ext = path.splitext(source_file)\\n return bool(len(file_ext) > 1 and file_ext[-1][1:] in self.valid_extensions)\\n\\n def _load_files(self, filename, validate_extensions=False):\\n \\\"\\\"\\\" Loads a file and converts the output into a valid Python dict.\\n Args:\\n filename (str): The source file.\\n\\n Returns:\\n Tuple (bool, str, dict)\\n \\\"\\\"\\\"\\n results = dict()\\n failed = False\\n err_msg = ''\\n if validate_extensions and not self._is_valid_file_ext(filename):\\n failed = True\\n err_msg = ('{0} does not have a valid extension: {1}' .format(filename, ', '.join(self.valid_extensions)))\\n else:\\n b_data, show_content = self._loader._get_file_contents(filename)\\n data = to_text(b_data, errors='surrogate_or_strict')\\n\\n self.show_content = show_content\\n data = self._loader.load(data, file_name=filename, show_content=show_content)\\n if not data:\\n data = dict()\\n if not isinstance(data, dict):\\n failed = True\\n err_msg = ('{0} must be stored as a dictionary/hash' .format(filename))\\n else:\\n self.included_files.append(filename)\\n results.update(data)\\n\\n return failed, err_msg, results\\n\\n def _load_files_in_dir(self, root_dir, var_files):\\n \\\"\\\"\\\" Load the found yml files and update/overwrite the dictionary.\\n Args:\\n root_dir (str): The base directory of the list of files that is being passed.\\n var_files: (list): List of files to iterate over and load into a dictionary.\\n\\n Returns:\\n Tuple (bool, str, dict)\\n \\\"\\\"\\\"\\n results = dict()\\n failed = False\\n err_msg = ''\\n for filename in var_files:\\n stop_iter = False\\n # Never include main.yml from a role, as that is the default included by the role\\n if self._task._role:\\n if filename == 'main.yml':\\n stop_iter = True\\n continue\\n\\n filepath = path.join(root_dir, filename)\\n if self.files_matching:\\n if not self.matcher.search(filename):\\n stop_iter = True\\n\\n if not stop_iter and not failed:\\n if path.exists(filepath) and not self._ignore_file(filename):\\n failed, err_msg, loaded_data = self._load_files(filepath, validate_extensions=True)\\n if not failed:\\n results.update(loaded_data)\\n\\n return failed, err_msg, results\\n\",\n \"path\": \"lib/ansible/plugins/action/include_vars.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/changelogs/fragments/include_vars_error_hang_fix.yaml b/changelogs/fragments/include_vars_error_hang_fix.yaml\nnew file mode 100644\nindex 00000000000000..ec129495f60672\n--- /dev/null\n+++ b/changelogs/fragments/include_vars_error_hang_fix.yaml\n@@ -0,0 +1,2 @@\n+bugfixes:\n+- include_vars - Call DataLoader.load with the correct signature to prevent hang on error processing (https://github.com/ansible/ansible/pull/38194)\ndiff --git a/lib/ansible/plugins/action/include_vars.py b/lib/ansible/plugins/action/include_vars.py\nindex 7ef24e9b3a6c2c..8897f87af11255 100644\n--- a/lib/ansible/plugins/action/include_vars.py\n+++ b/lib/ansible/plugins/action/include_vars.py\n@@ -236,7 +236,7 @@ def _load_files(self, filename, validate_extensions=False):\n data = to_text(b_data, errors='surrogate_or_strict')\n \n self.show_content = show_content\n- data = self._loader.load(data, show_content)\n+ data = self._loader.load(data, file_name=filename, show_content=show_content)\n if not data:\n data = dict()\n if not isinstance(data, dict):\n"}}},{"rowIdx":6589,"cells":{"in_source_id":{"kind":"string","value":"meltano__meltano-7964"},"issue":{"kind":"string","value":"bug: Replace usage of deprecated `locale.getdefaultlocale`\n### Meltano Version\n\n2.20.0\n\n### Python Version\n\n3.11\n\n### Bug scope\n\nOther\n\n### Operating System\n\nNA\n\n### Description\n\nThe function `locale.getdefaultlocale` is deprecated since version 3.11, will be removed in version 3.13. It is recommended to use `locale.getlocale` instead.\r\n\r\nAn explanation: https://github.com/python/cpython/issues/90817#issuecomment-1093944235\r\n\r\nhttps://github.com/meltano/meltano/blob/b3a550cd2ae953b39e4b188ebd96abb77c435abf/src/meltano/core/tracking/tracker.py#L136\n\n### Code\n\n_No response_\n"},"before_files":{"kind":"list like","value":[{"content":"\"\"\"Meltano telemetry.\"\"\"\n\nfrom __future__ import annotations\n\nimport atexit\nimport json\nimport locale\nimport os\nimport re\nimport sys\nimport typing as t\nimport uuid\nfrom collections.abc import Mapping\nfrom contextlib import contextmanager, suppress\nfrom datetime import datetime\nfrom enum import Enum, auto\nfrom pathlib import Path\nfrom urllib.parse import urlparse\nfrom warnings import warn\n\nimport structlog\nimport tzlocal\nfrom psutil import Process\nfrom snowplow_tracker import Emitter, SelfDescribing, SelfDescribingJson\nfrom snowplow_tracker import Tracker as SnowplowTracker\n\nfrom meltano.core.project import Project\nfrom meltano.core.tracking.schemas import (\n BlockEventSchema,\n CliEventSchema,\n ExitEventSchema,\n TelemetryStateChangeEventSchema,\n)\nfrom meltano.core.utils import format_exception\n\nif t.TYPE_CHECKING:\n from meltano.core.tracking.contexts import ( # noqa: F401\n CliEvent,\n EnvironmentContext,\n ProjectContext,\n )\n\nif sys.version_info >= (3, 8):\n from functools import cached_property\nelse:\n from cached_property import cached_property\n\n\nURL_REGEX = (\n r\"http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+\"\n)\n\nMICROSECONDS_PER_SECOND = 1000000\n\nlogger = structlog.get_logger(__name__)\n\n\nclass BlockEvents(Enum):\n \"\"\"Events describing a block state.\"\"\"\n\n initialized = auto()\n started = auto()\n completed = auto()\n failed = auto()\n\n\ndef check_url(url: str) -> bool:\n \"\"\"Check if the given URL is valid.\n\n Args:\n url: The URL to check.\n\n Returns:\n True if the URL is valid, False otherwise.\n \"\"\"\n return bool(re.match(URL_REGEX, url))\n\n\nclass TelemetrySettings(t.NamedTuple):\n \"\"\"Settings which control telemetry and anonymous usage stats.\n\n These are stored within `analytics.json`.\n \"\"\"\n\n client_id: uuid.UUID | None\n project_id: uuid.UUID | None\n send_anonymous_usage_stats: bool | None\n\n\nclass Tracker: # noqa: WPS214, WPS230 - too many (public) methods\n \"\"\"Meltano tracker backed by Snowplow.\"\"\"\n\n def __init__( # noqa: WPS210 - too many local variables\n self,\n project: Project,\n request_timeout: float | tuple[float, float] | None = 3.5,\n ):\n \"\"\"Initialize a tracker for the Meltano project.\n\n Args:\n project: The Meltano project.\n request_timeout: Timeout for the HTTP requests. Can be set either\n as single float value which applies to both `connect` and\n `read` timeout, or as tuple with two float values which specify\n the `connect` and `read` timeouts separately.\n \"\"\"\n from meltano.core.tracking.contexts import ( # noqa: WPS442, F811\n ProjectContext,\n environment_context,\n )\n\n self.project = project\n self.send_anonymous_usage_stats = project.settings.get(\n \"send_anonymous_usage_stats\",\n not project.settings.get(\"disable_tracking\", False),\n )\n\n endpoints = project.settings.get(\"snowplow.collector_endpoints\")\n\n emitters: list[Emitter] = []\n for endpoint in endpoints:\n if not check_url(endpoint):\n logger.warning(\"invalid_snowplow_endpoint\", endpoint=endpoint)\n continue\n parsed_url = urlparse(endpoint)\n emitters.append(\n Emitter(\n endpoint=parsed_url.hostname + parsed_url.path,\n protocol=parsed_url.scheme or \"http\",\n port=parsed_url.port,\n request_timeout=request_timeout,\n ),\n )\n\n if emitters:\n self.snowplow_tracker = SnowplowTracker(\n namespace=\"meltano-core\",\n app_id=\"meltano\",\n emitters=emitters,\n )\n self.snowplow_tracker.subject.set_lang(locale.getdefaultlocale()[0])\n self.snowplow_tracker.subject.set_timezone(self.timezone_name)\n self.setup_exit_event()\n else:\n self.snowplow_tracker = None\n\n stored_telemetry_settings = self.load_saved_telemetry_settings()\n\n self.client_id = self.get_client_id(stored_telemetry_settings)\n\n project_ctx = ProjectContext(project, self.client_id)\n self.project_id: uuid.UUID = project_ctx.project_uuid\n self._contexts: tuple[SelfDescribingJson] = (\n environment_context,\n project_ctx,\n )\n\n # Environment variables to set in invoked processes for telemetry purposes\n self.env: Mapping[str, str] = {\n \"MELTANO_PARENT_CONTEXT_UUID\": environment_context.data[\"context_uuid\"],\n }\n\n if all(setting is None for setting in stored_telemetry_settings):\n self.save_telemetry_settings()\n else:\n self.telemetry_state_change_check(stored_telemetry_settings)\n if self.client_id != stored_telemetry_settings.client_id:\n self.save_telemetry_settings()\n\n def get_client_id(self, stored_telemetry_settings: TelemetrySettings) -> uuid.UUID:\n \"\"\"Get the telemetry client ID.\n\n It can be set using the `$MELTANO_CLIENT_ID` environment variable. If\n that environment variable has not been set, then the client ID stored\n on disk will be used if it exists. If the client ID has not been stored\n on disk, then a new one will be randomly generated.\n\n Args:\n stored_telemetry_settings: The telemetry settings stored on disk.\n\n Returns:\n The client ID.\n \"\"\"\n with suppress(KeyError):\n uuid_str = os.environ[\"MELTANO_CLIENT_ID\"]\n try:\n return uuid.UUID(uuid_str)\n except ValueError:\n warn(\n (\n f\"Invalid telemetry client UUID {uuid_str!r} from \"\n \"$MELTANO_CLIENT_ID\"\n ),\n RuntimeWarning,\n stacklevel=2,\n )\n if stored_telemetry_settings.client_id is not None:\n return stored_telemetry_settings.client_id\n return uuid.uuid4()\n\n @property\n def contexts(self) -> tuple[SelfDescribingJson]:\n \"\"\"Get the contexts that will accompany events fired by this tracker.\n\n Returns:\n The contexts that will accompany events fired by this tracker.\n \"\"\"\n from meltano.core.tracking.contexts import ExceptionContext\n\n # The `ExceptionContext` is re-created every time this is accessed\n # because it details the exceptions that are being processed when it\n # is created.\n return (*self._contexts, ExceptionContext())\n\n def telemetry_state_change_check(\n self,\n stored_telemetry_settings: TelemetrySettings,\n ) -> None:\n \"\"\"Check prior values against current ones, and send a change event if needed.\n\n Args:\n stored_telemetry_settings: the prior analytics settings\n \"\"\"\n if (\n stored_telemetry_settings.project_id is not None\n and stored_telemetry_settings.project_id != self.project_id\n and self.send_anonymous_usage_stats\n ):\n # Project ID has changed\n self.track_telemetry_state_change_event(\n \"project_id\",\n stored_telemetry_settings.project_id,\n self.project_id,\n )\n\n if (\n stored_telemetry_settings.send_anonymous_usage_stats is not None\n and stored_telemetry_settings.send_anonymous_usage_stats\n != self.send_anonymous_usage_stats\n ):\n # Telemetry state has changed\n self.track_telemetry_state_change_event(\n \"send_anonymous_usage_stats\",\n stored_telemetry_settings.send_anonymous_usage_stats,\n self.send_anonymous_usage_stats,\n )\n\n @cached_property\n def timezone_name(self) -> str:\n \"\"\"Obtain the local timezone name.\n\n Examples:\n The timezone name as an IANA timezone database name:\n\n >>> Tracker(project).timezone_name\n 'Europe/Berlin'\n\n The timezone name as an IANA timezone abbreviation because the full\n name was not found:\n\n >>> Tracker(project).timezone_name\n 'CET'\n\n Returns:\n The local timezone as an IANA TZ database name if possible, or\n abbreviation otherwise.\n \"\"\" # noqa: F821\n try:\n return tzlocal.get_localzone_name()\n except Exception:\n return datetime.now().astimezone().tzname()\n\n def add_contexts(self, *extra_contexts):\n \"\"\"Permanently add additional Snowplow contexts to the `Tracker`.\n\n Args:\n extra_contexts: The additional contexts to add to the `Tracker`.\n \"\"\"\n self._contexts = (*self._contexts, *extra_contexts)\n\n @contextmanager\n def with_contexts(self, *extra_contexts) -> Tracker:\n \"\"\"Context manager within which the `Tracker` has additional Snowplow contexts.\n\n Args:\n extra_contexts: The additional contexts to add to the `Tracker`.\n\n Yields:\n A `Tracker` with additional Snowplow contexts.\n \"\"\"\n prev_contexts = self._contexts\n self._contexts = (*prev_contexts, *extra_contexts)\n try:\n yield self\n finally:\n self._contexts = prev_contexts\n\n def can_track(self) -> bool:\n \"\"\"Check if the tracker can be used.\n\n Returns:\n True if the tracker can be used, False otherwise.\n \"\"\"\n return self.snowplow_tracker is not None and self.send_anonymous_usage_stats\n\n def track_unstruct_event(self, event_json: SelfDescribingJson) -> None:\n \"\"\"Fire an unstructured tracking event.\n\n Args:\n event_json: The SelfDescribingJson event to track. See the Snowplow\n documentation for more information.\n \"\"\"\n if not self.can_track():\n return\n try:\n self.snowplow_tracker.track(\n SelfDescribing(\n event_json=event_json,\n context=self.contexts,\n ),\n )\n except Exception as err:\n logger.debug(\n \"Failed to submit unstruct event to Snowplow, error\",\n err=format_exception(err),\n )\n\n def track_command_event(self, event: CliEvent) -> None:\n \"\"\"Fire generic command tracking event.\n\n Args:\n event: An member from `meltano.core.tracking.CliEvent`\n \"\"\"\n self.track_unstruct_event(\n SelfDescribingJson(CliEventSchema.url, {\"event\": event.name}),\n )\n\n def track_telemetry_state_change_event(\n self,\n setting_name: str,\n from_value: uuid.UUID | str | bool | None,\n to_value: uuid.UUID | str | bool | None,\n ) -> None:\n \"\"\"Fire a telemetry state change event.\n\n Args:\n setting_name: the name of the setting that is changing\n from_value: the old value\n to_value: the new value\n \"\"\"\n from meltano.core.tracking.contexts import ( # noqa: WPS442, F811\n EnvironmentContext,\n ProjectContext,\n )\n\n # Save the telemetry settings to ensure this is the only telemetry\n # state change event fired for this particular setting change.\n self.save_telemetry_settings()\n\n if self.snowplow_tracker is None:\n # The Snowplow tracker is not available (e.g. because no endpoints are set)\n return\n\n logger.debug(\n (\n \"Telemetry state change detected. A one-time \"\n \"'telemetry_state_change' event will now be sent.\"\n ),\n setting_name=setting_name,\n )\n if isinstance(from_value, uuid.UUID):\n from_value = str(from_value)\n if isinstance(to_value, uuid.UUID):\n to_value = str(to_value)\n event_json = SelfDescribingJson(\n TelemetryStateChangeEventSchema.url,\n {\n \"setting_name\": setting_name,\n \"changed_from\": from_value,\n \"changed_to\": to_value,\n },\n )\n try:\n self.snowplow_tracker.track(\n SelfDescribing(\n event_json=event_json,\n # If tracking is disabled, then include only the minimal\n # Snowplow contexts required\n context=self.contexts\n if self.send_anonymous_usage_stats\n else tuple(\n ctx\n for ctx in self.contexts\n if isinstance(ctx, (EnvironmentContext, ProjectContext))\n ),\n ),\n )\n self.snowplow_tracker.flush()\n except Exception as err:\n logger.debug(\n (\n \"Failed to submit 'telemetry_state_change' unstruct event \"\n \"to Snowplow, error\"\n ),\n err=format_exception(err),\n )\n\n @property\n def analytics_json_path(self) -> Path:\n \"\"\"Return path to the 'analytics.json' file.\n\n Returns:\n Path to 'analytics.json' file.\n \"\"\"\n return self.project.meltano_dir() / \"analytics.json\"\n\n def load_saved_telemetry_settings(self) -> TelemetrySettings:\n \"\"\"Get settings from the 'analytics.json' file.\n\n Returns:\n The saved telemetry settings.\n \"\"\"\n try:\n with open(self.analytics_json_path) as analytics_json_file:\n analytics = json.load(analytics_json_file)\n except (OSError, json.JSONDecodeError):\n return TelemetrySettings(None, None, None)\n\n missing_keys = {\n \"client_id\",\n \"project_id\",\n \"send_anonymous_usage_stats\",\n } - set(analytics)\n\n if missing_keys:\n logger.debug(\n (\n \"'analytics.json' has missing keys, and will be \"\n \"overwritten with new 'analytics.json'\"\n ),\n missing_keys=missing_keys,\n )\n return TelemetrySettings(None, None, None)\n return TelemetrySettings(\n self._uuid_from_str(analytics.get(\"client_id\"), warn=True),\n self._uuid_from_str(analytics.get(\"project_id\"), warn=True),\n analytics.get(\"send_anonymous_usage_stats\"),\n )\n\n def save_telemetry_settings(self) -> None:\n \"\"\"Attempt to save settings to the 'analytics.json' file.\"\"\"\n try:\n with open(self.analytics_json_path, \"w\") as new_analytics_json_file:\n json.dump(\n {\n \"client_id\": str(self.client_id),\n \"project_id\": str(self.project_id),\n \"send_anonymous_usage_stats\": self.send_anonymous_usage_stats,\n },\n new_analytics_json_file,\n )\n except OSError as err:\n logger.debug(\"Unable to save 'analytics.json'\", err=err)\n\n def _uuid_from_str(\n self,\n from_val: t.Any | None,\n warn: bool, # noqa: WPS442\n ) -> uuid.UUID | None:\n \"\"\"Safely convert string to a UUID. Return None if invalid UUID.\n\n Args:\n from_val: The string.\n warn: True to warn on conversion failure.\n\n Returns:\n A UUID object, or None if the string cannot be converted to UUID.\n \"\"\"\n if not isinstance(from_val, str):\n if from_val is None:\n return None\n\n logger.warning(\n \"Unexpected value type in 'analytics.json'\",\n expected_type=\"string\",\n value_type=type(from_val),\n value=from_val,\n )\n\n try:\n return uuid.UUID(from_val)\n except (ValueError, TypeError):\n # Should only be reached if user manually edits 'analytics.json'.\n log_fn = logger.warning if warn else logger.debug\n log_fn(\n \"Invalid UUID string in 'analytics.json'\",\n value=from_val,\n )\n return None\n\n def track_block_event(self, block_type: str, event: BlockEvents) -> None:\n \"\"\"Fire generic block tracking event.\n\n Args:\n block_type: The block type.\n event: The event string (e.g. \"initialize\", \"started\", etc)\n \"\"\"\n self.track_unstruct_event(\n SelfDescribingJson(\n BlockEventSchema.url,\n {\"type\": block_type, \"event\": event.name},\n ),\n )\n\n def setup_exit_event(self):\n \"\"\"If not already done, register the atexit handler to fire the exit event.\n\n This method also provides this tracker instance to the CLI module for\n it to fire an exit event immediately before the CLI exits. The atexit\n handler is used only as a fallback.\n \"\"\"\n from meltano import cli\n\n if cli.atexit_handler_registered:\n return\n\n cli.atexit_handler_registered = True\n\n # Provide `meltano.cli` with this tracker to track the exit event with\n # more context.\n cli.exit_event_tracker = self\n\n # As a fallback, use atexit to help ensure the exit event is sent.\n atexit.register(self.track_exit_event)\n\n def track_exit_event(self):\n \"\"\"Fire exit event.\"\"\"\n from meltano import cli\n\n if cli.exit_code_reported:\n return\n cli.exit_code_reported = True\n\n start_time = datetime.utcfromtimestamp(Process().create_time())\n\n # This is the reported \"end time\" for this process, though in reality\n # the process will end a short time after this time as it takes time\n # to emit the event.\n now = datetime.utcnow()\n\n self.track_unstruct_event(\n SelfDescribingJson(\n ExitEventSchema.url,\n {\n \"exit_code\": cli.exit_code,\n \"exit_timestamp\": f\"{now.isoformat()}Z\",\n \"process_duration_microseconds\": int(\n (now - start_time).total_seconds() * MICROSECONDS_PER_SECOND,\n ),\n },\n ),\n )\n self.snowplow_tracker.flush()\n atexit.unregister(self.track_exit_event)\n","path":"src/meltano/core/tracking/tracker.py"}],"string":"[\n {\n \"content\": \"\\\"\\\"\\\"Meltano telemetry.\\\"\\\"\\\"\\n\\nfrom __future__ import annotations\\n\\nimport atexit\\nimport json\\nimport locale\\nimport os\\nimport re\\nimport sys\\nimport typing as t\\nimport uuid\\nfrom collections.abc import Mapping\\nfrom contextlib import contextmanager, suppress\\nfrom datetime import datetime\\nfrom enum import Enum, auto\\nfrom pathlib import Path\\nfrom urllib.parse import urlparse\\nfrom warnings import warn\\n\\nimport structlog\\nimport tzlocal\\nfrom psutil import Process\\nfrom snowplow_tracker import Emitter, SelfDescribing, SelfDescribingJson\\nfrom snowplow_tracker import Tracker as SnowplowTracker\\n\\nfrom meltano.core.project import Project\\nfrom meltano.core.tracking.schemas import (\\n BlockEventSchema,\\n CliEventSchema,\\n ExitEventSchema,\\n TelemetryStateChangeEventSchema,\\n)\\nfrom meltano.core.utils import format_exception\\n\\nif t.TYPE_CHECKING:\\n from meltano.core.tracking.contexts import ( # noqa: F401\\n CliEvent,\\n EnvironmentContext,\\n ProjectContext,\\n )\\n\\nif sys.version_info >= (3, 8):\\n from functools import cached_property\\nelse:\\n from cached_property import cached_property\\n\\n\\nURL_REGEX = (\\n r\\\"http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\\\(\\\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+\\\"\\n)\\n\\nMICROSECONDS_PER_SECOND = 1000000\\n\\nlogger = structlog.get_logger(__name__)\\n\\n\\nclass BlockEvents(Enum):\\n \\\"\\\"\\\"Events describing a block state.\\\"\\\"\\\"\\n\\n initialized = auto()\\n started = auto()\\n completed = auto()\\n failed = auto()\\n\\n\\ndef check_url(url: str) -> bool:\\n \\\"\\\"\\\"Check if the given URL is valid.\\n\\n Args:\\n url: The URL to check.\\n\\n Returns:\\n True if the URL is valid, False otherwise.\\n \\\"\\\"\\\"\\n return bool(re.match(URL_REGEX, url))\\n\\n\\nclass TelemetrySettings(t.NamedTuple):\\n \\\"\\\"\\\"Settings which control telemetry and anonymous usage stats.\\n\\n These are stored within `analytics.json`.\\n \\\"\\\"\\\"\\n\\n client_id: uuid.UUID | None\\n project_id: uuid.UUID | None\\n send_anonymous_usage_stats: bool | None\\n\\n\\nclass Tracker: # noqa: WPS214, WPS230 - too many (public) methods\\n \\\"\\\"\\\"Meltano tracker backed by Snowplow.\\\"\\\"\\\"\\n\\n def __init__( # noqa: WPS210 - too many local variables\\n self,\\n project: Project,\\n request_timeout: float | tuple[float, float] | None = 3.5,\\n ):\\n \\\"\\\"\\\"Initialize a tracker for the Meltano project.\\n\\n Args:\\n project: The Meltano project.\\n request_timeout: Timeout for the HTTP requests. Can be set either\\n as single float value which applies to both `connect` and\\n `read` timeout, or as tuple with two float values which specify\\n the `connect` and `read` timeouts separately.\\n \\\"\\\"\\\"\\n from meltano.core.tracking.contexts import ( # noqa: WPS442, F811\\n ProjectContext,\\n environment_context,\\n )\\n\\n self.project = project\\n self.send_anonymous_usage_stats = project.settings.get(\\n \\\"send_anonymous_usage_stats\\\",\\n not project.settings.get(\\\"disable_tracking\\\", False),\\n )\\n\\n endpoints = project.settings.get(\\\"snowplow.collector_endpoints\\\")\\n\\n emitters: list[Emitter] = []\\n for endpoint in endpoints:\\n if not check_url(endpoint):\\n logger.warning(\\\"invalid_snowplow_endpoint\\\", endpoint=endpoint)\\n continue\\n parsed_url = urlparse(endpoint)\\n emitters.append(\\n Emitter(\\n endpoint=parsed_url.hostname + parsed_url.path,\\n protocol=parsed_url.scheme or \\\"http\\\",\\n port=parsed_url.port,\\n request_timeout=request_timeout,\\n ),\\n )\\n\\n if emitters:\\n self.snowplow_tracker = SnowplowTracker(\\n namespace=\\\"meltano-core\\\",\\n app_id=\\\"meltano\\\",\\n emitters=emitters,\\n )\\n self.snowplow_tracker.subject.set_lang(locale.getdefaultlocale()[0])\\n self.snowplow_tracker.subject.set_timezone(self.timezone_name)\\n self.setup_exit_event()\\n else:\\n self.snowplow_tracker = None\\n\\n stored_telemetry_settings = self.load_saved_telemetry_settings()\\n\\n self.client_id = self.get_client_id(stored_telemetry_settings)\\n\\n project_ctx = ProjectContext(project, self.client_id)\\n self.project_id: uuid.UUID = project_ctx.project_uuid\\n self._contexts: tuple[SelfDescribingJson] = (\\n environment_context,\\n project_ctx,\\n )\\n\\n # Environment variables to set in invoked processes for telemetry purposes\\n self.env: Mapping[str, str] = {\\n \\\"MELTANO_PARENT_CONTEXT_UUID\\\": environment_context.data[\\\"context_uuid\\\"],\\n }\\n\\n if all(setting is None for setting in stored_telemetry_settings):\\n self.save_telemetry_settings()\\n else:\\n self.telemetry_state_change_check(stored_telemetry_settings)\\n if self.client_id != stored_telemetry_settings.client_id:\\n self.save_telemetry_settings()\\n\\n def get_client_id(self, stored_telemetry_settings: TelemetrySettings) -> uuid.UUID:\\n \\\"\\\"\\\"Get the telemetry client ID.\\n\\n It can be set using the `$MELTANO_CLIENT_ID` environment variable. If\\n that environment variable has not been set, then the client ID stored\\n on disk will be used if it exists. If the client ID has not been stored\\n on disk, then a new one will be randomly generated.\\n\\n Args:\\n stored_telemetry_settings: The telemetry settings stored on disk.\\n\\n Returns:\\n The client ID.\\n \\\"\\\"\\\"\\n with suppress(KeyError):\\n uuid_str = os.environ[\\\"MELTANO_CLIENT_ID\\\"]\\n try:\\n return uuid.UUID(uuid_str)\\n except ValueError:\\n warn(\\n (\\n f\\\"Invalid telemetry client UUID {uuid_str!r} from \\\"\\n \\\"$MELTANO_CLIENT_ID\\\"\\n ),\\n RuntimeWarning,\\n stacklevel=2,\\n )\\n if stored_telemetry_settings.client_id is not None:\\n return stored_telemetry_settings.client_id\\n return uuid.uuid4()\\n\\n @property\\n def contexts(self) -> tuple[SelfDescribingJson]:\\n \\\"\\\"\\\"Get the contexts that will accompany events fired by this tracker.\\n\\n Returns:\\n The contexts that will accompany events fired by this tracker.\\n \\\"\\\"\\\"\\n from meltano.core.tracking.contexts import ExceptionContext\\n\\n # The `ExceptionContext` is re-created every time this is accessed\\n # because it details the exceptions that are being processed when it\\n # is created.\\n return (*self._contexts, ExceptionContext())\\n\\n def telemetry_state_change_check(\\n self,\\n stored_telemetry_settings: TelemetrySettings,\\n ) -> None:\\n \\\"\\\"\\\"Check prior values against current ones, and send a change event if needed.\\n\\n Args:\\n stored_telemetry_settings: the prior analytics settings\\n \\\"\\\"\\\"\\n if (\\n stored_telemetry_settings.project_id is not None\\n and stored_telemetry_settings.project_id != self.project_id\\n and self.send_anonymous_usage_stats\\n ):\\n # Project ID has changed\\n self.track_telemetry_state_change_event(\\n \\\"project_id\\\",\\n stored_telemetry_settings.project_id,\\n self.project_id,\\n )\\n\\n if (\\n stored_telemetry_settings.send_anonymous_usage_stats is not None\\n and stored_telemetry_settings.send_anonymous_usage_stats\\n != self.send_anonymous_usage_stats\\n ):\\n # Telemetry state has changed\\n self.track_telemetry_state_change_event(\\n \\\"send_anonymous_usage_stats\\\",\\n stored_telemetry_settings.send_anonymous_usage_stats,\\n self.send_anonymous_usage_stats,\\n )\\n\\n @cached_property\\n def timezone_name(self) -> str:\\n \\\"\\\"\\\"Obtain the local timezone name.\\n\\n Examples:\\n The timezone name as an IANA timezone database name:\\n\\n >>> Tracker(project).timezone_name\\n 'Europe/Berlin'\\n\\n The timezone name as an IANA timezone abbreviation because the full\\n name was not found:\\n\\n >>> Tracker(project).timezone_name\\n 'CET'\\n\\n Returns:\\n The local timezone as an IANA TZ database name if possible, or\\n abbreviation otherwise.\\n \\\"\\\"\\\" # noqa: F821\\n try:\\n return tzlocal.get_localzone_name()\\n except Exception:\\n return datetime.now().astimezone().tzname()\\n\\n def add_contexts(self, *extra_contexts):\\n \\\"\\\"\\\"Permanently add additional Snowplow contexts to the `Tracker`.\\n\\n Args:\\n extra_contexts: The additional contexts to add to the `Tracker`.\\n \\\"\\\"\\\"\\n self._contexts = (*self._contexts, *extra_contexts)\\n\\n @contextmanager\\n def with_contexts(self, *extra_contexts) -> Tracker:\\n \\\"\\\"\\\"Context manager within which the `Tracker` has additional Snowplow contexts.\\n\\n Args:\\n extra_contexts: The additional contexts to add to the `Tracker`.\\n\\n Yields:\\n A `Tracker` with additional Snowplow contexts.\\n \\\"\\\"\\\"\\n prev_contexts = self._contexts\\n self._contexts = (*prev_contexts, *extra_contexts)\\n try:\\n yield self\\n finally:\\n self._contexts = prev_contexts\\n\\n def can_track(self) -> bool:\\n \\\"\\\"\\\"Check if the tracker can be used.\\n\\n Returns:\\n True if the tracker can be used, False otherwise.\\n \\\"\\\"\\\"\\n return self.snowplow_tracker is not None and self.send_anonymous_usage_stats\\n\\n def track_unstruct_event(self, event_json: SelfDescribingJson) -> None:\\n \\\"\\\"\\\"Fire an unstructured tracking event.\\n\\n Args:\\n event_json: The SelfDescribingJson event to track. See the Snowplow\\n documentation for more information.\\n \\\"\\\"\\\"\\n if not self.can_track():\\n return\\n try:\\n self.snowplow_tracker.track(\\n SelfDescribing(\\n event_json=event_json,\\n context=self.contexts,\\n ),\\n )\\n except Exception as err:\\n logger.debug(\\n \\\"Failed to submit unstruct event to Snowplow, error\\\",\\n err=format_exception(err),\\n )\\n\\n def track_command_event(self, event: CliEvent) -> None:\\n \\\"\\\"\\\"Fire generic command tracking event.\\n\\n Args:\\n event: An member from `meltano.core.tracking.CliEvent`\\n \\\"\\\"\\\"\\n self.track_unstruct_event(\\n SelfDescribingJson(CliEventSchema.url, {\\\"event\\\": event.name}),\\n )\\n\\n def track_telemetry_state_change_event(\\n self,\\n setting_name: str,\\n from_value: uuid.UUID | str | bool | None,\\n to_value: uuid.UUID | str | bool | None,\\n ) -> None:\\n \\\"\\\"\\\"Fire a telemetry state change event.\\n\\n Args:\\n setting_name: the name of the setting that is changing\\n from_value: the old value\\n to_value: the new value\\n \\\"\\\"\\\"\\n from meltano.core.tracking.contexts import ( # noqa: WPS442, F811\\n EnvironmentContext,\\n ProjectContext,\\n )\\n\\n # Save the telemetry settings to ensure this is the only telemetry\\n # state change event fired for this particular setting change.\\n self.save_telemetry_settings()\\n\\n if self.snowplow_tracker is None:\\n # The Snowplow tracker is not available (e.g. because no endpoints are set)\\n return\\n\\n logger.debug(\\n (\\n \\\"Telemetry state change detected. A one-time \\\"\\n \\\"'telemetry_state_change' event will now be sent.\\\"\\n ),\\n setting_name=setting_name,\\n )\\n if isinstance(from_value, uuid.UUID):\\n from_value = str(from_value)\\n if isinstance(to_value, uuid.UUID):\\n to_value = str(to_value)\\n event_json = SelfDescribingJson(\\n TelemetryStateChangeEventSchema.url,\\n {\\n \\\"setting_name\\\": setting_name,\\n \\\"changed_from\\\": from_value,\\n \\\"changed_to\\\": to_value,\\n },\\n )\\n try:\\n self.snowplow_tracker.track(\\n SelfDescribing(\\n event_json=event_json,\\n # If tracking is disabled, then include only the minimal\\n # Snowplow contexts required\\n context=self.contexts\\n if self.send_anonymous_usage_stats\\n else tuple(\\n ctx\\n for ctx in self.contexts\\n if isinstance(ctx, (EnvironmentContext, ProjectContext))\\n ),\\n ),\\n )\\n self.snowplow_tracker.flush()\\n except Exception as err:\\n logger.debug(\\n (\\n \\\"Failed to submit 'telemetry_state_change' unstruct event \\\"\\n \\\"to Snowplow, error\\\"\\n ),\\n err=format_exception(err),\\n )\\n\\n @property\\n def analytics_json_path(self) -> Path:\\n \\\"\\\"\\\"Return path to the 'analytics.json' file.\\n\\n Returns:\\n Path to 'analytics.json' file.\\n \\\"\\\"\\\"\\n return self.project.meltano_dir() / \\\"analytics.json\\\"\\n\\n def load_saved_telemetry_settings(self) -> TelemetrySettings:\\n \\\"\\\"\\\"Get settings from the 'analytics.json' file.\\n\\n Returns:\\n The saved telemetry settings.\\n \\\"\\\"\\\"\\n try:\\n with open(self.analytics_json_path) as analytics_json_file:\\n analytics = json.load(analytics_json_file)\\n except (OSError, json.JSONDecodeError):\\n return TelemetrySettings(None, None, None)\\n\\n missing_keys = {\\n \\\"client_id\\\",\\n \\\"project_id\\\",\\n \\\"send_anonymous_usage_stats\\\",\\n } - set(analytics)\\n\\n if missing_keys:\\n logger.debug(\\n (\\n \\\"'analytics.json' has missing keys, and will be \\\"\\n \\\"overwritten with new 'analytics.json'\\\"\\n ),\\n missing_keys=missing_keys,\\n )\\n return TelemetrySettings(None, None, None)\\n return TelemetrySettings(\\n self._uuid_from_str(analytics.get(\\\"client_id\\\"), warn=True),\\n self._uuid_from_str(analytics.get(\\\"project_id\\\"), warn=True),\\n analytics.get(\\\"send_anonymous_usage_stats\\\"),\\n )\\n\\n def save_telemetry_settings(self) -> None:\\n \\\"\\\"\\\"Attempt to save settings to the 'analytics.json' file.\\\"\\\"\\\"\\n try:\\n with open(self.analytics_json_path, \\\"w\\\") as new_analytics_json_file:\\n json.dump(\\n {\\n \\\"client_id\\\": str(self.client_id),\\n \\\"project_id\\\": str(self.project_id),\\n \\\"send_anonymous_usage_stats\\\": self.send_anonymous_usage_stats,\\n },\\n new_analytics_json_file,\\n )\\n except OSError as err:\\n logger.debug(\\\"Unable to save 'analytics.json'\\\", err=err)\\n\\n def _uuid_from_str(\\n self,\\n from_val: t.Any | None,\\n warn: bool, # noqa: WPS442\\n ) -> uuid.UUID | None:\\n \\\"\\\"\\\"Safely convert string to a UUID. Return None if invalid UUID.\\n\\n Args:\\n from_val: The string.\\n warn: True to warn on conversion failure.\\n\\n Returns:\\n A UUID object, or None if the string cannot be converted to UUID.\\n \\\"\\\"\\\"\\n if not isinstance(from_val, str):\\n if from_val is None:\\n return None\\n\\n logger.warning(\\n \\\"Unexpected value type in 'analytics.json'\\\",\\n expected_type=\\\"string\\\",\\n value_type=type(from_val),\\n value=from_val,\\n )\\n\\n try:\\n return uuid.UUID(from_val)\\n except (ValueError, TypeError):\\n # Should only be reached if user manually edits 'analytics.json'.\\n log_fn = logger.warning if warn else logger.debug\\n log_fn(\\n \\\"Invalid UUID string in 'analytics.json'\\\",\\n value=from_val,\\n )\\n return None\\n\\n def track_block_event(self, block_type: str, event: BlockEvents) -> None:\\n \\\"\\\"\\\"Fire generic block tracking event.\\n\\n Args:\\n block_type: The block type.\\n event: The event string (e.g. \\\"initialize\\\", \\\"started\\\", etc)\\n \\\"\\\"\\\"\\n self.track_unstruct_event(\\n SelfDescribingJson(\\n BlockEventSchema.url,\\n {\\\"type\\\": block_type, \\\"event\\\": event.name},\\n ),\\n )\\n\\n def setup_exit_event(self):\\n \\\"\\\"\\\"If not already done, register the atexit handler to fire the exit event.\\n\\n This method also provides this tracker instance to the CLI module for\\n it to fire an exit event immediately before the CLI exits. The atexit\\n handler is used only as a fallback.\\n \\\"\\\"\\\"\\n from meltano import cli\\n\\n if cli.atexit_handler_registered:\\n return\\n\\n cli.atexit_handler_registered = True\\n\\n # Provide `meltano.cli` with this tracker to track the exit event with\\n # more context.\\n cli.exit_event_tracker = self\\n\\n # As a fallback, use atexit to help ensure the exit event is sent.\\n atexit.register(self.track_exit_event)\\n\\n def track_exit_event(self):\\n \\\"\\\"\\\"Fire exit event.\\\"\\\"\\\"\\n from meltano import cli\\n\\n if cli.exit_code_reported:\\n return\\n cli.exit_code_reported = True\\n\\n start_time = datetime.utcfromtimestamp(Process().create_time())\\n\\n # This is the reported \\\"end time\\\" for this process, though in reality\\n # the process will end a short time after this time as it takes time\\n # to emit the event.\\n now = datetime.utcnow()\\n\\n self.track_unstruct_event(\\n SelfDescribingJson(\\n ExitEventSchema.url,\\n {\\n \\\"exit_code\\\": cli.exit_code,\\n \\\"exit_timestamp\\\": f\\\"{now.isoformat()}Z\\\",\\n \\\"process_duration_microseconds\\\": int(\\n (now - start_time).total_seconds() * MICROSECONDS_PER_SECOND,\\n ),\\n },\\n ),\\n )\\n self.snowplow_tracker.flush()\\n atexit.unregister(self.track_exit_event)\\n\",\n \"path\": \"src/meltano/core/tracking/tracker.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"\"\"\"Meltano telemetry.\"\"\"\n\nfrom __future__ import annotations\n\nimport atexit\nimport json\nimport locale\nimport os\nimport re\nimport sys\nimport typing as t\nimport uuid\nfrom collections.abc import Mapping\nfrom contextlib import contextmanager, suppress\nfrom datetime import datetime\nfrom enum import Enum, auto\nfrom pathlib import Path\nfrom urllib.parse import urlparse\nfrom warnings import warn\n\nimport structlog\nimport tzlocal\nfrom psutil import Process\nfrom snowplow_tracker import Emitter, SelfDescribing, SelfDescribingJson\nfrom snowplow_tracker import Tracker as SnowplowTracker\n\nfrom meltano.core.project import Project\nfrom meltano.core.tracking.schemas import (\n BlockEventSchema,\n CliEventSchema,\n ExitEventSchema,\n TelemetryStateChangeEventSchema,\n)\nfrom meltano.core.utils import format_exception\n\nif t.TYPE_CHECKING:\n from meltano.core.tracking.contexts import ( # noqa: F401\n CliEvent,\n EnvironmentContext,\n ProjectContext,\n )\n\nif sys.version_info >= (3, 8):\n from functools import cached_property\nelse:\n from cached_property import cached_property\n\n\nURL_REGEX = (\n r\"http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+\"\n)\n\nMICROSECONDS_PER_SECOND = 1000000\n\nlogger = structlog.get_logger(__name__)\n\n\nclass BlockEvents(Enum):\n \"\"\"Events describing a block state.\"\"\"\n\n initialized = auto()\n started = auto()\n completed = auto()\n failed = auto()\n\n\ndef check_url(url: str) -> bool:\n \"\"\"Check if the given URL is valid.\n\n Args:\n url: The URL to check.\n\n Returns:\n True if the URL is valid, False otherwise.\n \"\"\"\n return bool(re.match(URL_REGEX, url))\n\n\nclass TelemetrySettings(t.NamedTuple):\n \"\"\"Settings which control telemetry and anonymous usage stats.\n\n These are stored within `analytics.json`.\n \"\"\"\n\n client_id: uuid.UUID | None\n project_id: uuid.UUID | None\n send_anonymous_usage_stats: bool | None\n\n\nclass Tracker: # noqa: WPS214, WPS230 - too many (public) methods\n \"\"\"Meltano tracker backed by Snowplow.\"\"\"\n\n def __init__( # noqa: WPS210 - too many local variables\n self,\n project: Project,\n request_timeout: float | tuple[float, float] | None = 3.5,\n ):\n \"\"\"Initialize a tracker for the Meltano project.\n\n Args:\n project: The Meltano project.\n request_timeout: Timeout for the HTTP requests. Can be set either\n as single float value which applies to both `connect` and\n `read` timeout, or as tuple with two float values which specify\n the `connect` and `read` timeouts separately.\n \"\"\"\n from meltano.core.tracking.contexts import ( # noqa: WPS442, F811\n ProjectContext,\n environment_context,\n )\n\n self.project = project\n self.send_anonymous_usage_stats = project.settings.get(\n \"send_anonymous_usage_stats\",\n not project.settings.get(\"disable_tracking\", False),\n )\n\n endpoints = project.settings.get(\"snowplow.collector_endpoints\")\n\n emitters: list[Emitter] = []\n for endpoint in endpoints:\n if not check_url(endpoint):\n logger.warning(\"invalid_snowplow_endpoint\", endpoint=endpoint)\n continue\n parsed_url = urlparse(endpoint)\n emitters.append(\n Emitter(\n endpoint=parsed_url.hostname + parsed_url.path,\n protocol=parsed_url.scheme or \"http\",\n port=parsed_url.port,\n request_timeout=request_timeout,\n ),\n )\n\n if emitters:\n self.snowplow_tracker = SnowplowTracker(\n namespace=\"meltano-core\",\n app_id=\"meltano\",\n emitters=emitters,\n )\n self.snowplow_tracker.subject.set_lang(locale.getlocale()[0])\n self.snowplow_tracker.subject.set_timezone(self.timezone_name)\n self.setup_exit_event()\n else:\n self.snowplow_tracker = None\n\n stored_telemetry_settings = self.load_saved_telemetry_settings()\n\n self.client_id = self.get_client_id(stored_telemetry_settings)\n\n project_ctx = ProjectContext(project, self.client_id)\n self.project_id: uuid.UUID = project_ctx.project_uuid\n self._contexts: tuple[SelfDescribingJson] = (\n environment_context,\n project_ctx,\n )\n\n # Environment variables to set in invoked processes for telemetry purposes\n self.env: Mapping[str, str] = {\n \"MELTANO_PARENT_CONTEXT_UUID\": environment_context.data[\"context_uuid\"],\n }\n\n if all(setting is None for setting in stored_telemetry_settings):\n self.save_telemetry_settings()\n else:\n self.telemetry_state_change_check(stored_telemetry_settings)\n if self.client_id != stored_telemetry_settings.client_id:\n self.save_telemetry_settings()\n\n def get_client_id(self, stored_telemetry_settings: TelemetrySettings) -> uuid.UUID:\n \"\"\"Get the telemetry client ID.\n\n It can be set using the `$MELTANO_CLIENT_ID` environment variable. If\n that environment variable has not been set, then the client ID stored\n on disk will be used if it exists. If the client ID has not been stored\n on disk, then a new one will be randomly generated.\n\n Args:\n stored_telemetry_settings: The telemetry settings stored on disk.\n\n Returns:\n The client ID.\n \"\"\"\n with suppress(KeyError):\n uuid_str = os.environ[\"MELTANO_CLIENT_ID\"]\n try:\n return uuid.UUID(uuid_str)\n except ValueError:\n warn(\n (\n f\"Invalid telemetry client UUID {uuid_str!r} from \"\n \"$MELTANO_CLIENT_ID\"\n ),\n RuntimeWarning,\n stacklevel=2,\n )\n if stored_telemetry_settings.client_id is not None:\n return stored_telemetry_settings.client_id\n return uuid.uuid4()\n\n @property\n def contexts(self) -> tuple[SelfDescribingJson]:\n \"\"\"Get the contexts that will accompany events fired by this tracker.\n\n Returns:\n The contexts that will accompany events fired by this tracker.\n \"\"\"\n from meltano.core.tracking.contexts import ExceptionContext\n\n # The `ExceptionContext` is re-created every time this is accessed\n # because it details the exceptions that are being processed when it\n # is created.\n return (*self._contexts, ExceptionContext())\n\n def telemetry_state_change_check(\n self,\n stored_telemetry_settings: TelemetrySettings,\n ) -> None:\n \"\"\"Check prior values against current ones, and send a change event if needed.\n\n Args:\n stored_telemetry_settings: the prior analytics settings\n \"\"\"\n if (\n stored_telemetry_settings.project_id is not None\n and stored_telemetry_settings.project_id != self.project_id\n and self.send_anonymous_usage_stats\n ):\n # Project ID has changed\n self.track_telemetry_state_change_event(\n \"project_id\",\n stored_telemetry_settings.project_id,\n self.project_id,\n )\n\n if (\n stored_telemetry_settings.send_anonymous_usage_stats is not None\n and stored_telemetry_settings.send_anonymous_usage_stats\n != self.send_anonymous_usage_stats\n ):\n # Telemetry state has changed\n self.track_telemetry_state_change_event(\n \"send_anonymous_usage_stats\",\n stored_telemetry_settings.send_anonymous_usage_stats,\n self.send_anonymous_usage_stats,\n )\n\n @cached_property\n def timezone_name(self) -> str:\n \"\"\"Obtain the local timezone name.\n\n Examples:\n The timezone name as an IANA timezone database name:\n\n >>> Tracker(project).timezone_name\n 'Europe/Berlin'\n\n The timezone name as an IANA timezone abbreviation because the full\n name was not found:\n\n >>> Tracker(project).timezone_name\n 'CET'\n\n Returns:\n The local timezone as an IANA TZ database name if possible, or\n abbreviation otherwise.\n \"\"\" # noqa: F821\n try:\n return tzlocal.get_localzone_name()\n except Exception:\n return datetime.now().astimezone().tzname()\n\n def add_contexts(self, *extra_contexts):\n \"\"\"Permanently add additional Snowplow contexts to the `Tracker`.\n\n Args:\n extra_contexts: The additional contexts to add to the `Tracker`.\n \"\"\"\n self._contexts = (*self._contexts, *extra_contexts)\n\n @contextmanager\n def with_contexts(self, *extra_contexts) -> Tracker:\n \"\"\"Context manager within which the `Tracker` has additional Snowplow contexts.\n\n Args:\n extra_contexts: The additional contexts to add to the `Tracker`.\n\n Yields:\n A `Tracker` with additional Snowplow contexts.\n \"\"\"\n prev_contexts = self._contexts\n self._contexts = (*prev_contexts, *extra_contexts)\n try:\n yield self\n finally:\n self._contexts = prev_contexts\n\n def can_track(self) -> bool:\n \"\"\"Check if the tracker can be used.\n\n Returns:\n True if the tracker can be used, False otherwise.\n \"\"\"\n return self.snowplow_tracker is not None and self.send_anonymous_usage_stats\n\n def track_unstruct_event(self, event_json: SelfDescribingJson) -> None:\n \"\"\"Fire an unstructured tracking event.\n\n Args:\n event_json: The SelfDescribingJson event to track. See the Snowplow\n documentation for more information.\n \"\"\"\n if not self.can_track():\n return\n try:\n self.snowplow_tracker.track(\n SelfDescribing(\n event_json=event_json,\n context=self.contexts,\n ),\n )\n except Exception as err:\n logger.debug(\n \"Failed to submit unstruct event to Snowplow, error\",\n err=format_exception(err),\n )\n\n def track_command_event(self, event: CliEvent) -> None:\n \"\"\"Fire generic command tracking event.\n\n Args:\n event: An member from `meltano.core.tracking.CliEvent`\n \"\"\"\n self.track_unstruct_event(\n SelfDescribingJson(CliEventSchema.url, {\"event\": event.name}),\n )\n\n def track_telemetry_state_change_event(\n self,\n setting_name: str,\n from_value: uuid.UUID | str | bool | None,\n to_value: uuid.UUID | str | bool | None,\n ) -> None:\n \"\"\"Fire a telemetry state change event.\n\n Args:\n setting_name: the name of the setting that is changing\n from_value: the old value\n to_value: the new value\n \"\"\"\n from meltano.core.tracking.contexts import ( # noqa: WPS442, F811\n EnvironmentContext,\n ProjectContext,\n )\n\n # Save the telemetry settings to ensure this is the only telemetry\n # state change event fired for this particular setting change.\n self.save_telemetry_settings()\n\n if self.snowplow_tracker is None:\n # The Snowplow tracker is not available (e.g. because no endpoints are set)\n return\n\n logger.debug(\n (\n \"Telemetry state change detected. A one-time \"\n \"'telemetry_state_change' event will now be sent.\"\n ),\n setting_name=setting_name,\n )\n if isinstance(from_value, uuid.UUID):\n from_value = str(from_value)\n if isinstance(to_value, uuid.UUID):\n to_value = str(to_value)\n event_json = SelfDescribingJson(\n TelemetryStateChangeEventSchema.url,\n {\n \"setting_name\": setting_name,\n \"changed_from\": from_value,\n \"changed_to\": to_value,\n },\n )\n try:\n self.snowplow_tracker.track(\n SelfDescribing(\n event_json=event_json,\n # If tracking is disabled, then include only the minimal\n # Snowplow contexts required\n context=self.contexts\n if self.send_anonymous_usage_stats\n else tuple(\n ctx\n for ctx in self.contexts\n if isinstance(ctx, (EnvironmentContext, ProjectContext))\n ),\n ),\n )\n self.snowplow_tracker.flush()\n except Exception as err:\n logger.debug(\n (\n \"Failed to submit 'telemetry_state_change' unstruct event \"\n \"to Snowplow, error\"\n ),\n err=format_exception(err),\n )\n\n @property\n def analytics_json_path(self) -> Path:\n \"\"\"Return path to the 'analytics.json' file.\n\n Returns:\n Path to 'analytics.json' file.\n \"\"\"\n return self.project.meltano_dir() / \"analytics.json\"\n\n def load_saved_telemetry_settings(self) -> TelemetrySettings:\n \"\"\"Get settings from the 'analytics.json' file.\n\n Returns:\n The saved telemetry settings.\n \"\"\"\n try:\n with open(self.analytics_json_path) as analytics_json_file:\n analytics = json.load(analytics_json_file)\n except (OSError, json.JSONDecodeError):\n return TelemetrySettings(None, None, None)\n\n missing_keys = {\n \"client_id\",\n \"project_id\",\n \"send_anonymous_usage_stats\",\n } - set(analytics)\n\n if missing_keys:\n logger.debug(\n (\n \"'analytics.json' has missing keys, and will be \"\n \"overwritten with new 'analytics.json'\"\n ),\n missing_keys=missing_keys,\n )\n return TelemetrySettings(None, None, None)\n return TelemetrySettings(\n self._uuid_from_str(analytics.get(\"client_id\"), warn=True),\n self._uuid_from_str(analytics.get(\"project_id\"), warn=True),\n analytics.get(\"send_anonymous_usage_stats\"),\n )\n\n def save_telemetry_settings(self) -> None:\n \"\"\"Attempt to save settings to the 'analytics.json' file.\"\"\"\n try:\n with open(self.analytics_json_path, \"w\") as new_analytics_json_file:\n json.dump(\n {\n \"client_id\": str(self.client_id),\n \"project_id\": str(self.project_id),\n \"send_anonymous_usage_stats\": self.send_anonymous_usage_stats,\n },\n new_analytics_json_file,\n )\n except OSError as err:\n logger.debug(\"Unable to save 'analytics.json'\", err=err)\n\n def _uuid_from_str(\n self,\n from_val: t.Any | None,\n warn: bool, # noqa: WPS442\n ) -> uuid.UUID | None:\n \"\"\"Safely convert string to a UUID. Return None if invalid UUID.\n\n Args:\n from_val: The string.\n warn: True to warn on conversion failure.\n\n Returns:\n A UUID object, or None if the string cannot be converted to UUID.\n \"\"\"\n if not isinstance(from_val, str):\n if from_val is None:\n return None\n\n logger.warning(\n \"Unexpected value type in 'analytics.json'\",\n expected_type=\"string\",\n value_type=type(from_val),\n value=from_val,\n )\n\n try:\n return uuid.UUID(from_val)\n except (ValueError, TypeError):\n # Should only be reached if user manually edits 'analytics.json'.\n log_fn = logger.warning if warn else logger.debug\n log_fn(\n \"Invalid UUID string in 'analytics.json'\",\n value=from_val,\n )\n return None\n\n def track_block_event(self, block_type: str, event: BlockEvents) -> None:\n \"\"\"Fire generic block tracking event.\n\n Args:\n block_type: The block type.\n event: The event string (e.g. \"initialize\", \"started\", etc)\n \"\"\"\n self.track_unstruct_event(\n SelfDescribingJson(\n BlockEventSchema.url,\n {\"type\": block_type, \"event\": event.name},\n ),\n )\n\n def setup_exit_event(self):\n \"\"\"If not already done, register the atexit handler to fire the exit event.\n\n This method also provides this tracker instance to the CLI module for\n it to fire an exit event immediately before the CLI exits. The atexit\n handler is used only as a fallback.\n \"\"\"\n from meltano import cli\n\n if cli.atexit_handler_registered:\n return\n\n cli.atexit_handler_registered = True\n\n # Provide `meltano.cli` with this tracker to track the exit event with\n # more context.\n cli.exit_event_tracker = self\n\n # As a fallback, use atexit to help ensure the exit event is sent.\n atexit.register(self.track_exit_event)\n\n def track_exit_event(self):\n \"\"\"Fire exit event.\"\"\"\n from meltano import cli\n\n if cli.exit_code_reported:\n return\n cli.exit_code_reported = True\n\n start_time = datetime.utcfromtimestamp(Process().create_time())\n\n # This is the reported \"end time\" for this process, though in reality\n # the process will end a short time after this time as it takes time\n # to emit the event.\n now = datetime.utcnow()\n\n self.track_unstruct_event(\n SelfDescribingJson(\n ExitEventSchema.url,\n {\n \"exit_code\": cli.exit_code,\n \"exit_timestamp\": f\"{now.isoformat()}Z\",\n \"process_duration_microseconds\": int(\n (now - start_time).total_seconds() * MICROSECONDS_PER_SECOND,\n ),\n },\n ),\n )\n self.snowplow_tracker.flush()\n atexit.unregister(self.track_exit_event)\n","path":"src/meltano/core/tracking/tracker.py"}],"string":"[\n {\n \"content\": \"\\\"\\\"\\\"Meltano telemetry.\\\"\\\"\\\"\\n\\nfrom __future__ import annotations\\n\\nimport atexit\\nimport json\\nimport locale\\nimport os\\nimport re\\nimport sys\\nimport typing as t\\nimport uuid\\nfrom collections.abc import Mapping\\nfrom contextlib import contextmanager, suppress\\nfrom datetime import datetime\\nfrom enum import Enum, auto\\nfrom pathlib import Path\\nfrom urllib.parse import urlparse\\nfrom warnings import warn\\n\\nimport structlog\\nimport tzlocal\\nfrom psutil import Process\\nfrom snowplow_tracker import Emitter, SelfDescribing, SelfDescribingJson\\nfrom snowplow_tracker import Tracker as SnowplowTracker\\n\\nfrom meltano.core.project import Project\\nfrom meltano.core.tracking.schemas import (\\n BlockEventSchema,\\n CliEventSchema,\\n ExitEventSchema,\\n TelemetryStateChangeEventSchema,\\n)\\nfrom meltano.core.utils import format_exception\\n\\nif t.TYPE_CHECKING:\\n from meltano.core.tracking.contexts import ( # noqa: F401\\n CliEvent,\\n EnvironmentContext,\\n ProjectContext,\\n )\\n\\nif sys.version_info >= (3, 8):\\n from functools import cached_property\\nelse:\\n from cached_property import cached_property\\n\\n\\nURL_REGEX = (\\n r\\\"http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\\\(\\\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+\\\"\\n)\\n\\nMICROSECONDS_PER_SECOND = 1000000\\n\\nlogger = structlog.get_logger(__name__)\\n\\n\\nclass BlockEvents(Enum):\\n \\\"\\\"\\\"Events describing a block state.\\\"\\\"\\\"\\n\\n initialized = auto()\\n started = auto()\\n completed = auto()\\n failed = auto()\\n\\n\\ndef check_url(url: str) -> bool:\\n \\\"\\\"\\\"Check if the given URL is valid.\\n\\n Args:\\n url: The URL to check.\\n\\n Returns:\\n True if the URL is valid, False otherwise.\\n \\\"\\\"\\\"\\n return bool(re.match(URL_REGEX, url))\\n\\n\\nclass TelemetrySettings(t.NamedTuple):\\n \\\"\\\"\\\"Settings which control telemetry and anonymous usage stats.\\n\\n These are stored within `analytics.json`.\\n \\\"\\\"\\\"\\n\\n client_id: uuid.UUID | None\\n project_id: uuid.UUID | None\\n send_anonymous_usage_stats: bool | None\\n\\n\\nclass Tracker: # noqa: WPS214, WPS230 - too many (public) methods\\n \\\"\\\"\\\"Meltano tracker backed by Snowplow.\\\"\\\"\\\"\\n\\n def __init__( # noqa: WPS210 - too many local variables\\n self,\\n project: Project,\\n request_timeout: float | tuple[float, float] | None = 3.5,\\n ):\\n \\\"\\\"\\\"Initialize a tracker for the Meltano project.\\n\\n Args:\\n project: The Meltano project.\\n request_timeout: Timeout for the HTTP requests. Can be set either\\n as single float value which applies to both `connect` and\\n `read` timeout, or as tuple with two float values which specify\\n the `connect` and `read` timeouts separately.\\n \\\"\\\"\\\"\\n from meltano.core.tracking.contexts import ( # noqa: WPS442, F811\\n ProjectContext,\\n environment_context,\\n )\\n\\n self.project = project\\n self.send_anonymous_usage_stats = project.settings.get(\\n \\\"send_anonymous_usage_stats\\\",\\n not project.settings.get(\\\"disable_tracking\\\", False),\\n )\\n\\n endpoints = project.settings.get(\\\"snowplow.collector_endpoints\\\")\\n\\n emitters: list[Emitter] = []\\n for endpoint in endpoints:\\n if not check_url(endpoint):\\n logger.warning(\\\"invalid_snowplow_endpoint\\\", endpoint=endpoint)\\n continue\\n parsed_url = urlparse(endpoint)\\n emitters.append(\\n Emitter(\\n endpoint=parsed_url.hostname + parsed_url.path,\\n protocol=parsed_url.scheme or \\\"http\\\",\\n port=parsed_url.port,\\n request_timeout=request_timeout,\\n ),\\n )\\n\\n if emitters:\\n self.snowplow_tracker = SnowplowTracker(\\n namespace=\\\"meltano-core\\\",\\n app_id=\\\"meltano\\\",\\n emitters=emitters,\\n )\\n self.snowplow_tracker.subject.set_lang(locale.getlocale()[0])\\n self.snowplow_tracker.subject.set_timezone(self.timezone_name)\\n self.setup_exit_event()\\n else:\\n self.snowplow_tracker = None\\n\\n stored_telemetry_settings = self.load_saved_telemetry_settings()\\n\\n self.client_id = self.get_client_id(stored_telemetry_settings)\\n\\n project_ctx = ProjectContext(project, self.client_id)\\n self.project_id: uuid.UUID = project_ctx.project_uuid\\n self._contexts: tuple[SelfDescribingJson] = (\\n environment_context,\\n project_ctx,\\n )\\n\\n # Environment variables to set in invoked processes for telemetry purposes\\n self.env: Mapping[str, str] = {\\n \\\"MELTANO_PARENT_CONTEXT_UUID\\\": environment_context.data[\\\"context_uuid\\\"],\\n }\\n\\n if all(setting is None for setting in stored_telemetry_settings):\\n self.save_telemetry_settings()\\n else:\\n self.telemetry_state_change_check(stored_telemetry_settings)\\n if self.client_id != stored_telemetry_settings.client_id:\\n self.save_telemetry_settings()\\n\\n def get_client_id(self, stored_telemetry_settings: TelemetrySettings) -> uuid.UUID:\\n \\\"\\\"\\\"Get the telemetry client ID.\\n\\n It can be set using the `$MELTANO_CLIENT_ID` environment variable. If\\n that environment variable has not been set, then the client ID stored\\n on disk will be used if it exists. If the client ID has not been stored\\n on disk, then a new one will be randomly generated.\\n\\n Args:\\n stored_telemetry_settings: The telemetry settings stored on disk.\\n\\n Returns:\\n The client ID.\\n \\\"\\\"\\\"\\n with suppress(KeyError):\\n uuid_str = os.environ[\\\"MELTANO_CLIENT_ID\\\"]\\n try:\\n return uuid.UUID(uuid_str)\\n except ValueError:\\n warn(\\n (\\n f\\\"Invalid telemetry client UUID {uuid_str!r} from \\\"\\n \\\"$MELTANO_CLIENT_ID\\\"\\n ),\\n RuntimeWarning,\\n stacklevel=2,\\n )\\n if stored_telemetry_settings.client_id is not None:\\n return stored_telemetry_settings.client_id\\n return uuid.uuid4()\\n\\n @property\\n def contexts(self) -> tuple[SelfDescribingJson]:\\n \\\"\\\"\\\"Get the contexts that will accompany events fired by this tracker.\\n\\n Returns:\\n The contexts that will accompany events fired by this tracker.\\n \\\"\\\"\\\"\\n from meltano.core.tracking.contexts import ExceptionContext\\n\\n # The `ExceptionContext` is re-created every time this is accessed\\n # because it details the exceptions that are being processed when it\\n # is created.\\n return (*self._contexts, ExceptionContext())\\n\\n def telemetry_state_change_check(\\n self,\\n stored_telemetry_settings: TelemetrySettings,\\n ) -> None:\\n \\\"\\\"\\\"Check prior values against current ones, and send a change event if needed.\\n\\n Args:\\n stored_telemetry_settings: the prior analytics settings\\n \\\"\\\"\\\"\\n if (\\n stored_telemetry_settings.project_id is not None\\n and stored_telemetry_settings.project_id != self.project_id\\n and self.send_anonymous_usage_stats\\n ):\\n # Project ID has changed\\n self.track_telemetry_state_change_event(\\n \\\"project_id\\\",\\n stored_telemetry_settings.project_id,\\n self.project_id,\\n )\\n\\n if (\\n stored_telemetry_settings.send_anonymous_usage_stats is not None\\n and stored_telemetry_settings.send_anonymous_usage_stats\\n != self.send_anonymous_usage_stats\\n ):\\n # Telemetry state has changed\\n self.track_telemetry_state_change_event(\\n \\\"send_anonymous_usage_stats\\\",\\n stored_telemetry_settings.send_anonymous_usage_stats,\\n self.send_anonymous_usage_stats,\\n )\\n\\n @cached_property\\n def timezone_name(self) -> str:\\n \\\"\\\"\\\"Obtain the local timezone name.\\n\\n Examples:\\n The timezone name as an IANA timezone database name:\\n\\n >>> Tracker(project).timezone_name\\n 'Europe/Berlin'\\n\\n The timezone name as an IANA timezone abbreviation because the full\\n name was not found:\\n\\n >>> Tracker(project).timezone_name\\n 'CET'\\n\\n Returns:\\n The local timezone as an IANA TZ database name if possible, or\\n abbreviation otherwise.\\n \\\"\\\"\\\" # noqa: F821\\n try:\\n return tzlocal.get_localzone_name()\\n except Exception:\\n return datetime.now().astimezone().tzname()\\n\\n def add_contexts(self, *extra_contexts):\\n \\\"\\\"\\\"Permanently add additional Snowplow contexts to the `Tracker`.\\n\\n Args:\\n extra_contexts: The additional contexts to add to the `Tracker`.\\n \\\"\\\"\\\"\\n self._contexts = (*self._contexts, *extra_contexts)\\n\\n @contextmanager\\n def with_contexts(self, *extra_contexts) -> Tracker:\\n \\\"\\\"\\\"Context manager within which the `Tracker` has additional Snowplow contexts.\\n\\n Args:\\n extra_contexts: The additional contexts to add to the `Tracker`.\\n\\n Yields:\\n A `Tracker` with additional Snowplow contexts.\\n \\\"\\\"\\\"\\n prev_contexts = self._contexts\\n self._contexts = (*prev_contexts, *extra_contexts)\\n try:\\n yield self\\n finally:\\n self._contexts = prev_contexts\\n\\n def can_track(self) -> bool:\\n \\\"\\\"\\\"Check if the tracker can be used.\\n\\n Returns:\\n True if the tracker can be used, False otherwise.\\n \\\"\\\"\\\"\\n return self.snowplow_tracker is not None and self.send_anonymous_usage_stats\\n\\n def track_unstruct_event(self, event_json: SelfDescribingJson) -> None:\\n \\\"\\\"\\\"Fire an unstructured tracking event.\\n\\n Args:\\n event_json: The SelfDescribingJson event to track. See the Snowplow\\n documentation for more information.\\n \\\"\\\"\\\"\\n if not self.can_track():\\n return\\n try:\\n self.snowplow_tracker.track(\\n SelfDescribing(\\n event_json=event_json,\\n context=self.contexts,\\n ),\\n )\\n except Exception as err:\\n logger.debug(\\n \\\"Failed to submit unstruct event to Snowplow, error\\\",\\n err=format_exception(err),\\n )\\n\\n def track_command_event(self, event: CliEvent) -> None:\\n \\\"\\\"\\\"Fire generic command tracking event.\\n\\n Args:\\n event: An member from `meltano.core.tracking.CliEvent`\\n \\\"\\\"\\\"\\n self.track_unstruct_event(\\n SelfDescribingJson(CliEventSchema.url, {\\\"event\\\": event.name}),\\n )\\n\\n def track_telemetry_state_change_event(\\n self,\\n setting_name: str,\\n from_value: uuid.UUID | str | bool | None,\\n to_value: uuid.UUID | str | bool | None,\\n ) -> None:\\n \\\"\\\"\\\"Fire a telemetry state change event.\\n\\n Args:\\n setting_name: the name of the setting that is changing\\n from_value: the old value\\n to_value: the new value\\n \\\"\\\"\\\"\\n from meltano.core.tracking.contexts import ( # noqa: WPS442, F811\\n EnvironmentContext,\\n ProjectContext,\\n )\\n\\n # Save the telemetry settings to ensure this is the only telemetry\\n # state change event fired for this particular setting change.\\n self.save_telemetry_settings()\\n\\n if self.snowplow_tracker is None:\\n # The Snowplow tracker is not available (e.g. because no endpoints are set)\\n return\\n\\n logger.debug(\\n (\\n \\\"Telemetry state change detected. A one-time \\\"\\n \\\"'telemetry_state_change' event will now be sent.\\\"\\n ),\\n setting_name=setting_name,\\n )\\n if isinstance(from_value, uuid.UUID):\\n from_value = str(from_value)\\n if isinstance(to_value, uuid.UUID):\\n to_value = str(to_value)\\n event_json = SelfDescribingJson(\\n TelemetryStateChangeEventSchema.url,\\n {\\n \\\"setting_name\\\": setting_name,\\n \\\"changed_from\\\": from_value,\\n \\\"changed_to\\\": to_value,\\n },\\n )\\n try:\\n self.snowplow_tracker.track(\\n SelfDescribing(\\n event_json=event_json,\\n # If tracking is disabled, then include only the minimal\\n # Snowplow contexts required\\n context=self.contexts\\n if self.send_anonymous_usage_stats\\n else tuple(\\n ctx\\n for ctx in self.contexts\\n if isinstance(ctx, (EnvironmentContext, ProjectContext))\\n ),\\n ),\\n )\\n self.snowplow_tracker.flush()\\n except Exception as err:\\n logger.debug(\\n (\\n \\\"Failed to submit 'telemetry_state_change' unstruct event \\\"\\n \\\"to Snowplow, error\\\"\\n ),\\n err=format_exception(err),\\n )\\n\\n @property\\n def analytics_json_path(self) -> Path:\\n \\\"\\\"\\\"Return path to the 'analytics.json' file.\\n\\n Returns:\\n Path to 'analytics.json' file.\\n \\\"\\\"\\\"\\n return self.project.meltano_dir() / \\\"analytics.json\\\"\\n\\n def load_saved_telemetry_settings(self) -> TelemetrySettings:\\n \\\"\\\"\\\"Get settings from the 'analytics.json' file.\\n\\n Returns:\\n The saved telemetry settings.\\n \\\"\\\"\\\"\\n try:\\n with open(self.analytics_json_path) as analytics_json_file:\\n analytics = json.load(analytics_json_file)\\n except (OSError, json.JSONDecodeError):\\n return TelemetrySettings(None, None, None)\\n\\n missing_keys = {\\n \\\"client_id\\\",\\n \\\"project_id\\\",\\n \\\"send_anonymous_usage_stats\\\",\\n } - set(analytics)\\n\\n if missing_keys:\\n logger.debug(\\n (\\n \\\"'analytics.json' has missing keys, and will be \\\"\\n \\\"overwritten with new 'analytics.json'\\\"\\n ),\\n missing_keys=missing_keys,\\n )\\n return TelemetrySettings(None, None, None)\\n return TelemetrySettings(\\n self._uuid_from_str(analytics.get(\\\"client_id\\\"), warn=True),\\n self._uuid_from_str(analytics.get(\\\"project_id\\\"), warn=True),\\n analytics.get(\\\"send_anonymous_usage_stats\\\"),\\n )\\n\\n def save_telemetry_settings(self) -> None:\\n \\\"\\\"\\\"Attempt to save settings to the 'analytics.json' file.\\\"\\\"\\\"\\n try:\\n with open(self.analytics_json_path, \\\"w\\\") as new_analytics_json_file:\\n json.dump(\\n {\\n \\\"client_id\\\": str(self.client_id),\\n \\\"project_id\\\": str(self.project_id),\\n \\\"send_anonymous_usage_stats\\\": self.send_anonymous_usage_stats,\\n },\\n new_analytics_json_file,\\n )\\n except OSError as err:\\n logger.debug(\\\"Unable to save 'analytics.json'\\\", err=err)\\n\\n def _uuid_from_str(\\n self,\\n from_val: t.Any | None,\\n warn: bool, # noqa: WPS442\\n ) -> uuid.UUID | None:\\n \\\"\\\"\\\"Safely convert string to a UUID. Return None if invalid UUID.\\n\\n Args:\\n from_val: The string.\\n warn: True to warn on conversion failure.\\n\\n Returns:\\n A UUID object, or None if the string cannot be converted to UUID.\\n \\\"\\\"\\\"\\n if not isinstance(from_val, str):\\n if from_val is None:\\n return None\\n\\n logger.warning(\\n \\\"Unexpected value type in 'analytics.json'\\\",\\n expected_type=\\\"string\\\",\\n value_type=type(from_val),\\n value=from_val,\\n )\\n\\n try:\\n return uuid.UUID(from_val)\\n except (ValueError, TypeError):\\n # Should only be reached if user manually edits 'analytics.json'.\\n log_fn = logger.warning if warn else logger.debug\\n log_fn(\\n \\\"Invalid UUID string in 'analytics.json'\\\",\\n value=from_val,\\n )\\n return None\\n\\n def track_block_event(self, block_type: str, event: BlockEvents) -> None:\\n \\\"\\\"\\\"Fire generic block tracking event.\\n\\n Args:\\n block_type: The block type.\\n event: The event string (e.g. \\\"initialize\\\", \\\"started\\\", etc)\\n \\\"\\\"\\\"\\n self.track_unstruct_event(\\n SelfDescribingJson(\\n BlockEventSchema.url,\\n {\\\"type\\\": block_type, \\\"event\\\": event.name},\\n ),\\n )\\n\\n def setup_exit_event(self):\\n \\\"\\\"\\\"If not already done, register the atexit handler to fire the exit event.\\n\\n This method also provides this tracker instance to the CLI module for\\n it to fire an exit event immediately before the CLI exits. The atexit\\n handler is used only as a fallback.\\n \\\"\\\"\\\"\\n from meltano import cli\\n\\n if cli.atexit_handler_registered:\\n return\\n\\n cli.atexit_handler_registered = True\\n\\n # Provide `meltano.cli` with this tracker to track the exit event with\\n # more context.\\n cli.exit_event_tracker = self\\n\\n # As a fallback, use atexit to help ensure the exit event is sent.\\n atexit.register(self.track_exit_event)\\n\\n def track_exit_event(self):\\n \\\"\\\"\\\"Fire exit event.\\\"\\\"\\\"\\n from meltano import cli\\n\\n if cli.exit_code_reported:\\n return\\n cli.exit_code_reported = True\\n\\n start_time = datetime.utcfromtimestamp(Process().create_time())\\n\\n # This is the reported \\\"end time\\\" for this process, though in reality\\n # the process will end a short time after this time as it takes time\\n # to emit the event.\\n now = datetime.utcnow()\\n\\n self.track_unstruct_event(\\n SelfDescribingJson(\\n ExitEventSchema.url,\\n {\\n \\\"exit_code\\\": cli.exit_code,\\n \\\"exit_timestamp\\\": f\\\"{now.isoformat()}Z\\\",\\n \\\"process_duration_microseconds\\\": int(\\n (now - start_time).total_seconds() * MICROSECONDS_PER_SECOND,\\n ),\\n },\\n ),\\n )\\n self.snowplow_tracker.flush()\\n atexit.unregister(self.track_exit_event)\\n\",\n \"path\": \"src/meltano/core/tracking/tracker.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/src/meltano/core/tracking/tracker.py b/src/meltano/core/tracking/tracker.py\nindex 8651473caf..b96c3592bc 100644\n--- a/src/meltano/core/tracking/tracker.py\n+++ b/src/meltano/core/tracking/tracker.py\n@@ -138,7 +138,7 @@ def __init__( # noqa: WPS210 - too many local variables\n app_id=\"meltano\",\n emitters=emitters,\n )\n- self.snowplow_tracker.subject.set_lang(locale.getdefaultlocale()[0])\n+ self.snowplow_tracker.subject.set_lang(locale.getlocale()[0])\n self.snowplow_tracker.subject.set_timezone(self.timezone_name)\n self.setup_exit_event()\n else:\n"}}},{"rowIdx":6590,"cells":{"in_source_id":{"kind":"string","value":"freqtrade__freqtrade-3596"},"issue":{"kind":"string","value":"configure fee to 0 using --fee argument take default exchange fees instead of 0\nHi,\r\n\r\nDuring early stage of developing a strategy i put fees to 0 to see winrate when i close the trade after 1 bar, 2 bars, ... .\r\nNo matter i 'force' the fees to 0 it seems the fallback to default exchange fees if the value choose is under the exchange fee.\r\n\r\nHave a nice day.\n"},"before_files":{"kind":"list like","value":[{"content":"# pragma pylint: disable=missing-docstring, W0212, too-many-arguments\n\n\"\"\"\nThis module contains the backtesting logic\n\"\"\"\nimport logging\nfrom copy import deepcopy\nfrom datetime import datetime, timedelta\nfrom typing import Any, Dict, List, NamedTuple, Optional, Tuple\n\nimport arrow\nfrom pandas import DataFrame\n\nfrom freqtrade.configuration import (TimeRange, remove_credentials,\n validate_config_consistency)\nfrom freqtrade.data import history\nfrom freqtrade.data.converter import trim_dataframe\nfrom freqtrade.data.dataprovider import DataProvider\nfrom freqtrade.exceptions import OperationalException\nfrom freqtrade.exchange import timeframe_to_minutes, timeframe_to_seconds\nfrom freqtrade.optimize.optimize_reports import (generate_backtest_stats,\n show_backtest_results,\n store_backtest_result)\nfrom freqtrade.pairlist.pairlistmanager import PairListManager\nfrom freqtrade.persistence import Trade\nfrom freqtrade.resolvers import ExchangeResolver, StrategyResolver\nfrom freqtrade.state import RunMode\nfrom freqtrade.strategy.interface import IStrategy, SellCheckTuple, SellType\n\nlogger = logging.getLogger(__name__)\n\n\nclass BacktestResult(NamedTuple):\n \"\"\"\n NamedTuple Defining BacktestResults inputs.\n \"\"\"\n pair: str\n profit_percent: float\n profit_abs: float\n open_time: datetime\n close_time: datetime\n open_index: int\n close_index: int\n trade_duration: float\n open_at_end: bool\n open_rate: float\n close_rate: float\n sell_reason: SellType\n\n\nclass Backtesting:\n \"\"\"\n Backtesting class, this class contains all the logic to run a backtest\n\n To run a backtest:\n backtesting = Backtesting(config)\n backtesting.start()\n \"\"\"\n\n def __init__(self, config: Dict[str, Any]) -> None:\n self.config = config\n\n # Reset keys for backtesting\n remove_credentials(self.config)\n self.strategylist: List[IStrategy] = []\n self.exchange = ExchangeResolver.load_exchange(self.config['exchange']['name'], self.config)\n\n if self.config.get('runmode') != RunMode.HYPEROPT:\n self.dataprovider = DataProvider(self.config, self.exchange)\n IStrategy.dp = self.dataprovider\n\n if self.config.get('strategy_list', None):\n for strat in list(self.config['strategy_list']):\n stratconf = deepcopy(self.config)\n stratconf['strategy'] = strat\n self.strategylist.append(StrategyResolver.load_strategy(stratconf))\n validate_config_consistency(stratconf)\n\n else:\n # No strategy list specified, only one strategy\n self.strategylist.append(StrategyResolver.load_strategy(self.config))\n validate_config_consistency(self.config)\n\n if \"timeframe\" not in self.config:\n raise OperationalException(\"Timeframe (ticker interval) needs to be set in either \"\n \"configuration or as cli argument `--timeframe 5m`\")\n self.timeframe = str(self.config.get('timeframe'))\n self.timeframe_min = timeframe_to_minutes(self.timeframe)\n\n self.pairlists = PairListManager(self.exchange, self.config)\n if 'VolumePairList' in self.pairlists.name_list:\n raise OperationalException(\"VolumePairList not allowed for backtesting.\")\n\n if len(self.strategylist) > 1 and 'PrecisionFilter' in self.pairlists.name_list:\n raise OperationalException(\n \"PrecisionFilter not allowed for backtesting multiple strategies.\"\n )\n\n self.pairlists.refresh_pairlist()\n\n if len(self.pairlists.whitelist) == 0:\n raise OperationalException(\"No pair in whitelist.\")\n\n if config.get('fee'):\n self.fee = config['fee']\n else:\n self.fee = self.exchange.get_fee(symbol=self.pairlists.whitelist[0])\n\n # Get maximum required startup period\n self.required_startup = max([strat.startup_candle_count for strat in self.strategylist])\n # Load one (first) strategy\n self._set_strategy(self.strategylist[0])\n\n def _set_strategy(self, strategy):\n \"\"\"\n Load strategy into backtesting\n \"\"\"\n self.strategy = strategy\n # Set stoploss_on_exchange to false for backtesting,\n # since a \"perfect\" stoploss-sell is assumed anyway\n # And the regular \"stoploss\" function would not apply to that case\n self.strategy.order_types['stoploss_on_exchange'] = False\n\n def load_bt_data(self) -> Tuple[Dict[str, DataFrame], TimeRange]:\n timerange = TimeRange.parse_timerange(None if self.config.get(\n 'timerange') is None else str(self.config.get('timerange')))\n\n data = history.load_data(\n datadir=self.config['datadir'],\n pairs=self.pairlists.whitelist,\n timeframe=self.timeframe,\n timerange=timerange,\n startup_candles=self.required_startup,\n fail_without_data=True,\n data_format=self.config.get('dataformat_ohlcv', 'json'),\n )\n\n min_date, max_date = history.get_timerange(data)\n\n logger.info(\n 'Loading data from %s up to %s (%s days)..',\n min_date.isoformat(), max_date.isoformat(), (max_date - min_date).days\n )\n # Adjust startts forward if not enough data is available\n timerange.adjust_start_if_necessary(timeframe_to_seconds(self.timeframe),\n self.required_startup, min_date)\n\n return data, timerange\n\n def _get_ohlcv_as_lists(self, processed: Dict) -> Dict[str, DataFrame]:\n \"\"\"\n Helper function to convert a processed dataframes into lists for performance reasons.\n\n Used by backtest() - so keep this optimized for performance.\n \"\"\"\n headers = ['date', 'buy', 'open', 'close', 'sell', 'low', 'high']\n data: Dict = {}\n # Create dict with data\n for pair, pair_data in processed.items():\n pair_data.loc[:, 'buy'] = 0 # cleanup from previous run\n pair_data.loc[:, 'sell'] = 0 # cleanup from previous run\n\n df_analyzed = self.strategy.advise_sell(\n self.strategy.advise_buy(pair_data, {'pair': pair}), {'pair': pair})[headers].copy()\n\n # To avoid using data from future, we use buy/sell signals shifted\n # from the previous candle\n df_analyzed.loc[:, 'buy'] = df_analyzed.loc[:, 'buy'].shift(1)\n df_analyzed.loc[:, 'sell'] = df_analyzed.loc[:, 'sell'].shift(1)\n\n df_analyzed.drop(df_analyzed.head(1).index, inplace=True)\n\n # Convert from Pandas to list for performance reasons\n # (Looping Pandas is slow.)\n data[pair] = [x for x in df_analyzed.itertuples()]\n return data\n\n def _get_close_rate(self, sell_row, trade: Trade, sell: SellCheckTuple,\n trade_dur: int) -> float:\n \"\"\"\n Get close rate for backtesting result\n \"\"\"\n # Special handling if high or low hit STOP_LOSS or ROI\n if sell.sell_type in (SellType.STOP_LOSS, SellType.TRAILING_STOP_LOSS):\n # Set close_rate to stoploss\n return trade.stop_loss\n elif sell.sell_type == (SellType.ROI):\n roi_entry, roi = self.strategy.min_roi_reached_entry(trade_dur)\n if roi is not None:\n if roi == -1 and roi_entry % self.timeframe_min == 0:\n # When forceselling with ROI=-1, the roi time will always be equal to trade_dur.\n # If that entry is a multiple of the timeframe (so on candle open)\n # - we'll use open instead of close\n return sell_row.open\n\n # - (Expected abs profit + open_rate + open_fee) / (fee_close -1)\n close_rate = - (trade.open_rate * roi + trade.open_rate *\n (1 + trade.fee_open)) / (trade.fee_close - 1)\n\n if (trade_dur > 0 and trade_dur == roi_entry\n and roi_entry % self.timeframe_min == 0\n and sell_row.open > close_rate):\n # new ROI entry came into effect.\n # use Open rate if open_rate > calculated sell rate\n return sell_row.open\n\n # Use the maximum between close_rate and low as we\n # cannot sell outside of a candle.\n # Applies when a new ROI setting comes in place and the whole candle is above that.\n return max(close_rate, sell_row.low)\n\n else:\n # This should not be reached...\n return sell_row.open\n else:\n return sell_row.open\n\n def _get_sell_trade_entry(\n self, pair: str, buy_row: DataFrame,\n partial_ohlcv: List, trade_count_lock: Dict,\n stake_amount: float, max_open_trades: int) -> Optional[BacktestResult]:\n\n trade = Trade(\n pair=pair,\n open_rate=buy_row.open,\n open_date=buy_row.date,\n stake_amount=stake_amount,\n amount=stake_amount / buy_row.open,\n fee_open=self.fee,\n fee_close=self.fee,\n is_open=True,\n )\n logger.debug(f\"{pair} - Backtesting emulates creation of new trade: {trade}.\")\n # calculate win/lose forwards from buy point\n for sell_row in partial_ohlcv:\n if max_open_trades > 0:\n # Increase trade_count_lock for every iteration\n trade_count_lock[sell_row.date] = trade_count_lock.get(sell_row.date, 0) + 1\n\n sell = self.strategy.should_sell(trade, sell_row.open, sell_row.date, sell_row.buy,\n sell_row.sell, low=sell_row.low, high=sell_row.high)\n if sell.sell_flag:\n trade_dur = int((sell_row.date - buy_row.date).total_seconds() // 60)\n closerate = self._get_close_rate(sell_row, trade, sell, trade_dur)\n\n return BacktestResult(pair=pair,\n profit_percent=trade.calc_profit_ratio(rate=closerate),\n profit_abs=trade.calc_profit(rate=closerate),\n open_time=buy_row.date,\n close_time=sell_row.date,\n trade_duration=trade_dur,\n open_index=buy_row.Index,\n close_index=sell_row.Index,\n open_at_end=False,\n open_rate=buy_row.open,\n close_rate=closerate,\n sell_reason=sell.sell_type\n )\n if partial_ohlcv:\n # no sell condition found - trade stil open at end of backtest period\n sell_row = partial_ohlcv[-1]\n bt_res = BacktestResult(pair=pair,\n profit_percent=trade.calc_profit_ratio(rate=sell_row.open),\n profit_abs=trade.calc_profit(rate=sell_row.open),\n open_time=buy_row.date,\n close_time=sell_row.date,\n trade_duration=int((\n sell_row.date - buy_row.date).total_seconds() // 60),\n open_index=buy_row.Index,\n close_index=sell_row.Index,\n open_at_end=True,\n open_rate=buy_row.open,\n close_rate=sell_row.open,\n sell_reason=SellType.FORCE_SELL\n )\n logger.debug(f\"{pair} - Force selling still open trade, \"\n f\"profit percent: {bt_res.profit_percent}, \"\n f\"profit abs: {bt_res.profit_abs}\")\n\n return bt_res\n return None\n\n def backtest(self, processed: Dict, stake_amount: float,\n start_date: arrow.Arrow, end_date: arrow.Arrow,\n max_open_trades: int = 0, position_stacking: bool = False) -> DataFrame:\n \"\"\"\n Implement backtesting functionality\n\n NOTE: This method is used by Hyperopt at each iteration. Please keep it optimized.\n Of course try to not have ugly code. By some accessor are sometime slower than functions.\n Avoid extensive logging in this method and functions it calls.\n\n :param processed: a processed dictionary with format {pair, data}\n :param stake_amount: amount to use for each trade\n :param start_date: backtesting timerange start datetime\n :param end_date: backtesting timerange end datetime\n :param max_open_trades: maximum number of concurrent trades, <= 0 means unlimited\n :param position_stacking: do we allow position stacking?\n :return: DataFrame with trades (results of backtesting)\n \"\"\"\n logger.debug(f\"Run backtest, stake_amount: {stake_amount}, \"\n f\"start_date: {start_date}, end_date: {end_date}, \"\n f\"max_open_trades: {max_open_trades}, position_stacking: {position_stacking}\"\n )\n trades = []\n trade_count_lock: Dict = {}\n\n # Use dict of lists with data for performance\n # (looping lists is a lot faster than pandas DataFrames)\n data: Dict = self._get_ohlcv_as_lists(processed)\n\n lock_pair_until: Dict = {}\n # Indexes per pair, so some pairs are allowed to have a missing start.\n indexes: Dict = {}\n tmp = start_date + timedelta(minutes=self.timeframe_min)\n\n # Loop timerange and get candle for each pair at that point in time\n while tmp < end_date:\n\n for i, pair in enumerate(data):\n if pair not in indexes:\n indexes[pair] = 0\n\n try:\n row = data[pair][indexes[pair]]\n except IndexError:\n # missing Data for one pair at the end.\n # Warnings for this are shown during data loading\n continue\n\n # Waits until the time-counter reaches the start of the data for this pair.\n if row.date > tmp.datetime:\n continue\n\n indexes[pair] += 1\n\n if row.buy == 0 or row.sell == 1:\n continue # skip rows where no buy signal or that would immediately sell off\n\n if (not position_stacking and pair in lock_pair_until\n and row.date <= lock_pair_until[pair]):\n # without positionstacking, we can only have one open trade per pair.\n continue\n\n if max_open_trades > 0:\n # Check if max_open_trades has already been reached for the given date\n if not trade_count_lock.get(row.date, 0) < max_open_trades:\n continue\n trade_count_lock[row.date] = trade_count_lock.get(row.date, 0) + 1\n\n # since indexes has been incremented before, we need to go one step back to\n # also check the buying candle for sell conditions.\n trade_entry = self._get_sell_trade_entry(pair, row, data[pair][indexes[pair]-1:],\n trade_count_lock, stake_amount,\n max_open_trades)\n\n if trade_entry:\n logger.debug(f\"{pair} - Locking pair till \"\n f\"close_time={trade_entry.close_time}\")\n lock_pair_until[pair] = trade_entry.close_time\n trades.append(trade_entry)\n else:\n # Set lock_pair_until to end of testing period if trade could not be closed\n lock_pair_until[pair] = end_date.datetime\n\n # Move time one configured time_interval ahead.\n tmp += timedelta(minutes=self.timeframe_min)\n return DataFrame.from_records(trades, columns=BacktestResult._fields)\n\n def start(self) -> None:\n \"\"\"\n Run backtesting end-to-end\n :return: None\n \"\"\"\n data: Dict[str, Any] = {}\n\n logger.info('Using stake_currency: %s ...', self.config['stake_currency'])\n logger.info('Using stake_amount: %s ...', self.config['stake_amount'])\n\n # Use max_open_trades in backtesting, except --disable-max-market-positions is set\n if self.config.get('use_max_market_positions', True):\n max_open_trades = self.config['max_open_trades']\n else:\n logger.info('Ignoring max_open_trades (--disable-max-market-positions was used) ...')\n max_open_trades = 0\n position_stacking = self.config.get('position_stacking', False)\n\n data, timerange = self.load_bt_data()\n\n all_results = {}\n for strat in self.strategylist:\n logger.info(\"Running backtesting for Strategy %s\", strat.get_strategy_name())\n self._set_strategy(strat)\n\n # need to reprocess data every time to populate signals\n preprocessed = self.strategy.ohlcvdata_to_dataframe(data)\n\n # Trim startup period from analyzed dataframe\n for pair, df in preprocessed.items():\n preprocessed[pair] = trim_dataframe(df, timerange)\n min_date, max_date = history.get_timerange(preprocessed)\n\n logger.info(\n 'Backtesting with data from %s up to %s (%s days)..',\n min_date.isoformat(), max_date.isoformat(), (max_date - min_date).days\n )\n # Execute backtest and print results\n all_results[self.strategy.get_strategy_name()] = self.backtest(\n processed=preprocessed,\n stake_amount=self.config['stake_amount'],\n start_date=min_date,\n end_date=max_date,\n max_open_trades=max_open_trades,\n position_stacking=position_stacking,\n )\n\n if self.config.get('export', False):\n store_backtest_result(self.config['exportfilename'], all_results)\n # Show backtest results\n stats = generate_backtest_stats(self.config, data, all_results)\n show_backtest_results(self.config, stats)\n","path":"freqtrade/optimize/backtesting.py"}],"string":"[\n {\n \"content\": \"# pragma pylint: disable=missing-docstring, W0212, too-many-arguments\\n\\n\\\"\\\"\\\"\\nThis module contains the backtesting logic\\n\\\"\\\"\\\"\\nimport logging\\nfrom copy import deepcopy\\nfrom datetime import datetime, timedelta\\nfrom typing import Any, Dict, List, NamedTuple, Optional, Tuple\\n\\nimport arrow\\nfrom pandas import DataFrame\\n\\nfrom freqtrade.configuration import (TimeRange, remove_credentials,\\n validate_config_consistency)\\nfrom freqtrade.data import history\\nfrom freqtrade.data.converter import trim_dataframe\\nfrom freqtrade.data.dataprovider import DataProvider\\nfrom freqtrade.exceptions import OperationalException\\nfrom freqtrade.exchange import timeframe_to_minutes, timeframe_to_seconds\\nfrom freqtrade.optimize.optimize_reports import (generate_backtest_stats,\\n show_backtest_results,\\n store_backtest_result)\\nfrom freqtrade.pairlist.pairlistmanager import PairListManager\\nfrom freqtrade.persistence import Trade\\nfrom freqtrade.resolvers import ExchangeResolver, StrategyResolver\\nfrom freqtrade.state import RunMode\\nfrom freqtrade.strategy.interface import IStrategy, SellCheckTuple, SellType\\n\\nlogger = logging.getLogger(__name__)\\n\\n\\nclass BacktestResult(NamedTuple):\\n \\\"\\\"\\\"\\n NamedTuple Defining BacktestResults inputs.\\n \\\"\\\"\\\"\\n pair: str\\n profit_percent: float\\n profit_abs: float\\n open_time: datetime\\n close_time: datetime\\n open_index: int\\n close_index: int\\n trade_duration: float\\n open_at_end: bool\\n open_rate: float\\n close_rate: float\\n sell_reason: SellType\\n\\n\\nclass Backtesting:\\n \\\"\\\"\\\"\\n Backtesting class, this class contains all the logic to run a backtest\\n\\n To run a backtest:\\n backtesting = Backtesting(config)\\n backtesting.start()\\n \\\"\\\"\\\"\\n\\n def __init__(self, config: Dict[str, Any]) -> None:\\n self.config = config\\n\\n # Reset keys for backtesting\\n remove_credentials(self.config)\\n self.strategylist: List[IStrategy] = []\\n self.exchange = ExchangeResolver.load_exchange(self.config['exchange']['name'], self.config)\\n\\n if self.config.get('runmode') != RunMode.HYPEROPT:\\n self.dataprovider = DataProvider(self.config, self.exchange)\\n IStrategy.dp = self.dataprovider\\n\\n if self.config.get('strategy_list', None):\\n for strat in list(self.config['strategy_list']):\\n stratconf = deepcopy(self.config)\\n stratconf['strategy'] = strat\\n self.strategylist.append(StrategyResolver.load_strategy(stratconf))\\n validate_config_consistency(stratconf)\\n\\n else:\\n # No strategy list specified, only one strategy\\n self.strategylist.append(StrategyResolver.load_strategy(self.config))\\n validate_config_consistency(self.config)\\n\\n if \\\"timeframe\\\" not in self.config:\\n raise OperationalException(\\\"Timeframe (ticker interval) needs to be set in either \\\"\\n \\\"configuration or as cli argument `--timeframe 5m`\\\")\\n self.timeframe = str(self.config.get('timeframe'))\\n self.timeframe_min = timeframe_to_minutes(self.timeframe)\\n\\n self.pairlists = PairListManager(self.exchange, self.config)\\n if 'VolumePairList' in self.pairlists.name_list:\\n raise OperationalException(\\\"VolumePairList not allowed for backtesting.\\\")\\n\\n if len(self.strategylist) > 1 and 'PrecisionFilter' in self.pairlists.name_list:\\n raise OperationalException(\\n \\\"PrecisionFilter not allowed for backtesting multiple strategies.\\\"\\n )\\n\\n self.pairlists.refresh_pairlist()\\n\\n if len(self.pairlists.whitelist) == 0:\\n raise OperationalException(\\\"No pair in whitelist.\\\")\\n\\n if config.get('fee'):\\n self.fee = config['fee']\\n else:\\n self.fee = self.exchange.get_fee(symbol=self.pairlists.whitelist[0])\\n\\n # Get maximum required startup period\\n self.required_startup = max([strat.startup_candle_count for strat in self.strategylist])\\n # Load one (first) strategy\\n self._set_strategy(self.strategylist[0])\\n\\n def _set_strategy(self, strategy):\\n \\\"\\\"\\\"\\n Load strategy into backtesting\\n \\\"\\\"\\\"\\n self.strategy = strategy\\n # Set stoploss_on_exchange to false for backtesting,\\n # since a \\\"perfect\\\" stoploss-sell is assumed anyway\\n # And the regular \\\"stoploss\\\" function would not apply to that case\\n self.strategy.order_types['stoploss_on_exchange'] = False\\n\\n def load_bt_data(self) -> Tuple[Dict[str, DataFrame], TimeRange]:\\n timerange = TimeRange.parse_timerange(None if self.config.get(\\n 'timerange') is None else str(self.config.get('timerange')))\\n\\n data = history.load_data(\\n datadir=self.config['datadir'],\\n pairs=self.pairlists.whitelist,\\n timeframe=self.timeframe,\\n timerange=timerange,\\n startup_candles=self.required_startup,\\n fail_without_data=True,\\n data_format=self.config.get('dataformat_ohlcv', 'json'),\\n )\\n\\n min_date, max_date = history.get_timerange(data)\\n\\n logger.info(\\n 'Loading data from %s up to %s (%s days)..',\\n min_date.isoformat(), max_date.isoformat(), (max_date - min_date).days\\n )\\n # Adjust startts forward if not enough data is available\\n timerange.adjust_start_if_necessary(timeframe_to_seconds(self.timeframe),\\n self.required_startup, min_date)\\n\\n return data, timerange\\n\\n def _get_ohlcv_as_lists(self, processed: Dict) -> Dict[str, DataFrame]:\\n \\\"\\\"\\\"\\n Helper function to convert a processed dataframes into lists for performance reasons.\\n\\n Used by backtest() - so keep this optimized for performance.\\n \\\"\\\"\\\"\\n headers = ['date', 'buy', 'open', 'close', 'sell', 'low', 'high']\\n data: Dict = {}\\n # Create dict with data\\n for pair, pair_data in processed.items():\\n pair_data.loc[:, 'buy'] = 0 # cleanup from previous run\\n pair_data.loc[:, 'sell'] = 0 # cleanup from previous run\\n\\n df_analyzed = self.strategy.advise_sell(\\n self.strategy.advise_buy(pair_data, {'pair': pair}), {'pair': pair})[headers].copy()\\n\\n # To avoid using data from future, we use buy/sell signals shifted\\n # from the previous candle\\n df_analyzed.loc[:, 'buy'] = df_analyzed.loc[:, 'buy'].shift(1)\\n df_analyzed.loc[:, 'sell'] = df_analyzed.loc[:, 'sell'].shift(1)\\n\\n df_analyzed.drop(df_analyzed.head(1).index, inplace=True)\\n\\n # Convert from Pandas to list for performance reasons\\n # (Looping Pandas is slow.)\\n data[pair] = [x for x in df_analyzed.itertuples()]\\n return data\\n\\n def _get_close_rate(self, sell_row, trade: Trade, sell: SellCheckTuple,\\n trade_dur: int) -> float:\\n \\\"\\\"\\\"\\n Get close rate for backtesting result\\n \\\"\\\"\\\"\\n # Special handling if high or low hit STOP_LOSS or ROI\\n if sell.sell_type in (SellType.STOP_LOSS, SellType.TRAILING_STOP_LOSS):\\n # Set close_rate to stoploss\\n return trade.stop_loss\\n elif sell.sell_type == (SellType.ROI):\\n roi_entry, roi = self.strategy.min_roi_reached_entry(trade_dur)\\n if roi is not None:\\n if roi == -1 and roi_entry % self.timeframe_min == 0:\\n # When forceselling with ROI=-1, the roi time will always be equal to trade_dur.\\n # If that entry is a multiple of the timeframe (so on candle open)\\n # - we'll use open instead of close\\n return sell_row.open\\n\\n # - (Expected abs profit + open_rate + open_fee) / (fee_close -1)\\n close_rate = - (trade.open_rate * roi + trade.open_rate *\\n (1 + trade.fee_open)) / (trade.fee_close - 1)\\n\\n if (trade_dur > 0 and trade_dur == roi_entry\\n and roi_entry % self.timeframe_min == 0\\n and sell_row.open > close_rate):\\n # new ROI entry came into effect.\\n # use Open rate if open_rate > calculated sell rate\\n return sell_row.open\\n\\n # Use the maximum between close_rate and low as we\\n # cannot sell outside of a candle.\\n # Applies when a new ROI setting comes in place and the whole candle is above that.\\n return max(close_rate, sell_row.low)\\n\\n else:\\n # This should not be reached...\\n return sell_row.open\\n else:\\n return sell_row.open\\n\\n def _get_sell_trade_entry(\\n self, pair: str, buy_row: DataFrame,\\n partial_ohlcv: List, trade_count_lock: Dict,\\n stake_amount: float, max_open_trades: int) -> Optional[BacktestResult]:\\n\\n trade = Trade(\\n pair=pair,\\n open_rate=buy_row.open,\\n open_date=buy_row.date,\\n stake_amount=stake_amount,\\n amount=stake_amount / buy_row.open,\\n fee_open=self.fee,\\n fee_close=self.fee,\\n is_open=True,\\n )\\n logger.debug(f\\\"{pair} - Backtesting emulates creation of new trade: {trade}.\\\")\\n # calculate win/lose forwards from buy point\\n for sell_row in partial_ohlcv:\\n if max_open_trades > 0:\\n # Increase trade_count_lock for every iteration\\n trade_count_lock[sell_row.date] = trade_count_lock.get(sell_row.date, 0) + 1\\n\\n sell = self.strategy.should_sell(trade, sell_row.open, sell_row.date, sell_row.buy,\\n sell_row.sell, low=sell_row.low, high=sell_row.high)\\n if sell.sell_flag:\\n trade_dur = int((sell_row.date - buy_row.date).total_seconds() // 60)\\n closerate = self._get_close_rate(sell_row, trade, sell, trade_dur)\\n\\n return BacktestResult(pair=pair,\\n profit_percent=trade.calc_profit_ratio(rate=closerate),\\n profit_abs=trade.calc_profit(rate=closerate),\\n open_time=buy_row.date,\\n close_time=sell_row.date,\\n trade_duration=trade_dur,\\n open_index=buy_row.Index,\\n close_index=sell_row.Index,\\n open_at_end=False,\\n open_rate=buy_row.open,\\n close_rate=closerate,\\n sell_reason=sell.sell_type\\n )\\n if partial_ohlcv:\\n # no sell condition found - trade stil open at end of backtest period\\n sell_row = partial_ohlcv[-1]\\n bt_res = BacktestResult(pair=pair,\\n profit_percent=trade.calc_profit_ratio(rate=sell_row.open),\\n profit_abs=trade.calc_profit(rate=sell_row.open),\\n open_time=buy_row.date,\\n close_time=sell_row.date,\\n trade_duration=int((\\n sell_row.date - buy_row.date).total_seconds() // 60),\\n open_index=buy_row.Index,\\n close_index=sell_row.Index,\\n open_at_end=True,\\n open_rate=buy_row.open,\\n close_rate=sell_row.open,\\n sell_reason=SellType.FORCE_SELL\\n )\\n logger.debug(f\\\"{pair} - Force selling still open trade, \\\"\\n f\\\"profit percent: {bt_res.profit_percent}, \\\"\\n f\\\"profit abs: {bt_res.profit_abs}\\\")\\n\\n return bt_res\\n return None\\n\\n def backtest(self, processed: Dict, stake_amount: float,\\n start_date: arrow.Arrow, end_date: arrow.Arrow,\\n max_open_trades: int = 0, position_stacking: bool = False) -> DataFrame:\\n \\\"\\\"\\\"\\n Implement backtesting functionality\\n\\n NOTE: This method is used by Hyperopt at each iteration. Please keep it optimized.\\n Of course try to not have ugly code. By some accessor are sometime slower than functions.\\n Avoid extensive logging in this method and functions it calls.\\n\\n :param processed: a processed dictionary with format {pair, data}\\n :param stake_amount: amount to use for each trade\\n :param start_date: backtesting timerange start datetime\\n :param end_date: backtesting timerange end datetime\\n :param max_open_trades: maximum number of concurrent trades, <= 0 means unlimited\\n :param position_stacking: do we allow position stacking?\\n :return: DataFrame with trades (results of backtesting)\\n \\\"\\\"\\\"\\n logger.debug(f\\\"Run backtest, stake_amount: {stake_amount}, \\\"\\n f\\\"start_date: {start_date}, end_date: {end_date}, \\\"\\n f\\\"max_open_trades: {max_open_trades}, position_stacking: {position_stacking}\\\"\\n )\\n trades = []\\n trade_count_lock: Dict = {}\\n\\n # Use dict of lists with data for performance\\n # (looping lists is a lot faster than pandas DataFrames)\\n data: Dict = self._get_ohlcv_as_lists(processed)\\n\\n lock_pair_until: Dict = {}\\n # Indexes per pair, so some pairs are allowed to have a missing start.\\n indexes: Dict = {}\\n tmp = start_date + timedelta(minutes=self.timeframe_min)\\n\\n # Loop timerange and get candle for each pair at that point in time\\n while tmp < end_date:\\n\\n for i, pair in enumerate(data):\\n if pair not in indexes:\\n indexes[pair] = 0\\n\\n try:\\n row = data[pair][indexes[pair]]\\n except IndexError:\\n # missing Data for one pair at the end.\\n # Warnings for this are shown during data loading\\n continue\\n\\n # Waits until the time-counter reaches the start of the data for this pair.\\n if row.date > tmp.datetime:\\n continue\\n\\n indexes[pair] += 1\\n\\n if row.buy == 0 or row.sell == 1:\\n continue # skip rows where no buy signal or that would immediately sell off\\n\\n if (not position_stacking and pair in lock_pair_until\\n and row.date <= lock_pair_until[pair]):\\n # without positionstacking, we can only have one open trade per pair.\\n continue\\n\\n if max_open_trades > 0:\\n # Check if max_open_trades has already been reached for the given date\\n if not trade_count_lock.get(row.date, 0) < max_open_trades:\\n continue\\n trade_count_lock[row.date] = trade_count_lock.get(row.date, 0) + 1\\n\\n # since indexes has been incremented before, we need to go one step back to\\n # also check the buying candle for sell conditions.\\n trade_entry = self._get_sell_trade_entry(pair, row, data[pair][indexes[pair]-1:],\\n trade_count_lock, stake_amount,\\n max_open_trades)\\n\\n if trade_entry:\\n logger.debug(f\\\"{pair} - Locking pair till \\\"\\n f\\\"close_time={trade_entry.close_time}\\\")\\n lock_pair_until[pair] = trade_entry.close_time\\n trades.append(trade_entry)\\n else:\\n # Set lock_pair_until to end of testing period if trade could not be closed\\n lock_pair_until[pair] = end_date.datetime\\n\\n # Move time one configured time_interval ahead.\\n tmp += timedelta(minutes=self.timeframe_min)\\n return DataFrame.from_records(trades, columns=BacktestResult._fields)\\n\\n def start(self) -> None:\\n \\\"\\\"\\\"\\n Run backtesting end-to-end\\n :return: None\\n \\\"\\\"\\\"\\n data: Dict[str, Any] = {}\\n\\n logger.info('Using stake_currency: %s ...', self.config['stake_currency'])\\n logger.info('Using stake_amount: %s ...', self.config['stake_amount'])\\n\\n # Use max_open_trades in backtesting, except --disable-max-market-positions is set\\n if self.config.get('use_max_market_positions', True):\\n max_open_trades = self.config['max_open_trades']\\n else:\\n logger.info('Ignoring max_open_trades (--disable-max-market-positions was used) ...')\\n max_open_trades = 0\\n position_stacking = self.config.get('position_stacking', False)\\n\\n data, timerange = self.load_bt_data()\\n\\n all_results = {}\\n for strat in self.strategylist:\\n logger.info(\\\"Running backtesting for Strategy %s\\\", strat.get_strategy_name())\\n self._set_strategy(strat)\\n\\n # need to reprocess data every time to populate signals\\n preprocessed = self.strategy.ohlcvdata_to_dataframe(data)\\n\\n # Trim startup period from analyzed dataframe\\n for pair, df in preprocessed.items():\\n preprocessed[pair] = trim_dataframe(df, timerange)\\n min_date, max_date = history.get_timerange(preprocessed)\\n\\n logger.info(\\n 'Backtesting with data from %s up to %s (%s days)..',\\n min_date.isoformat(), max_date.isoformat(), (max_date - min_date).days\\n )\\n # Execute backtest and print results\\n all_results[self.strategy.get_strategy_name()] = self.backtest(\\n processed=preprocessed,\\n stake_amount=self.config['stake_amount'],\\n start_date=min_date,\\n end_date=max_date,\\n max_open_trades=max_open_trades,\\n position_stacking=position_stacking,\\n )\\n\\n if self.config.get('export', False):\\n store_backtest_result(self.config['exportfilename'], all_results)\\n # Show backtest results\\n stats = generate_backtest_stats(self.config, data, all_results)\\n show_backtest_results(self.config, stats)\\n\",\n \"path\": \"freqtrade/optimize/backtesting.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"# pragma pylint: disable=missing-docstring, W0212, too-many-arguments\n\n\"\"\"\nThis module contains the backtesting logic\n\"\"\"\nimport logging\nfrom copy import deepcopy\nfrom datetime import datetime, timedelta\nfrom typing import Any, Dict, List, NamedTuple, Optional, Tuple\n\nimport arrow\nfrom pandas import DataFrame\n\nfrom freqtrade.configuration import (TimeRange, remove_credentials,\n validate_config_consistency)\nfrom freqtrade.data import history\nfrom freqtrade.data.converter import trim_dataframe\nfrom freqtrade.data.dataprovider import DataProvider\nfrom freqtrade.exceptions import OperationalException\nfrom freqtrade.exchange import timeframe_to_minutes, timeframe_to_seconds\nfrom freqtrade.optimize.optimize_reports import (generate_backtest_stats,\n show_backtest_results,\n store_backtest_result)\nfrom freqtrade.pairlist.pairlistmanager import PairListManager\nfrom freqtrade.persistence import Trade\nfrom freqtrade.resolvers import ExchangeResolver, StrategyResolver\nfrom freqtrade.state import RunMode\nfrom freqtrade.strategy.interface import IStrategy, SellCheckTuple, SellType\n\nlogger = logging.getLogger(__name__)\n\n\nclass BacktestResult(NamedTuple):\n \"\"\"\n NamedTuple Defining BacktestResults inputs.\n \"\"\"\n pair: str\n profit_percent: float\n profit_abs: float\n open_time: datetime\n close_time: datetime\n open_index: int\n close_index: int\n trade_duration: float\n open_at_end: bool\n open_rate: float\n close_rate: float\n sell_reason: SellType\n\n\nclass Backtesting:\n \"\"\"\n Backtesting class, this class contains all the logic to run a backtest\n\n To run a backtest:\n backtesting = Backtesting(config)\n backtesting.start()\n \"\"\"\n\n def __init__(self, config: Dict[str, Any]) -> None:\n self.config = config\n\n # Reset keys for backtesting\n remove_credentials(self.config)\n self.strategylist: List[IStrategy] = []\n self.exchange = ExchangeResolver.load_exchange(self.config['exchange']['name'], self.config)\n\n if self.config.get('runmode') != RunMode.HYPEROPT:\n self.dataprovider = DataProvider(self.config, self.exchange)\n IStrategy.dp = self.dataprovider\n\n if self.config.get('strategy_list', None):\n for strat in list(self.config['strategy_list']):\n stratconf = deepcopy(self.config)\n stratconf['strategy'] = strat\n self.strategylist.append(StrategyResolver.load_strategy(stratconf))\n validate_config_consistency(stratconf)\n\n else:\n # No strategy list specified, only one strategy\n self.strategylist.append(StrategyResolver.load_strategy(self.config))\n validate_config_consistency(self.config)\n\n if \"timeframe\" not in self.config:\n raise OperationalException(\"Timeframe (ticker interval) needs to be set in either \"\n \"configuration or as cli argument `--timeframe 5m`\")\n self.timeframe = str(self.config.get('timeframe'))\n self.timeframe_min = timeframe_to_minutes(self.timeframe)\n\n self.pairlists = PairListManager(self.exchange, self.config)\n if 'VolumePairList' in self.pairlists.name_list:\n raise OperationalException(\"VolumePairList not allowed for backtesting.\")\n\n if len(self.strategylist) > 1 and 'PrecisionFilter' in self.pairlists.name_list:\n raise OperationalException(\n \"PrecisionFilter not allowed for backtesting multiple strategies.\"\n )\n\n self.pairlists.refresh_pairlist()\n\n if len(self.pairlists.whitelist) == 0:\n raise OperationalException(\"No pair in whitelist.\")\n\n if config.get('fee', None) is not None:\n self.fee = config['fee']\n else:\n self.fee = self.exchange.get_fee(symbol=self.pairlists.whitelist[0])\n\n # Get maximum required startup period\n self.required_startup = max([strat.startup_candle_count for strat in self.strategylist])\n # Load one (first) strategy\n self._set_strategy(self.strategylist[0])\n\n def _set_strategy(self, strategy):\n \"\"\"\n Load strategy into backtesting\n \"\"\"\n self.strategy = strategy\n # Set stoploss_on_exchange to false for backtesting,\n # since a \"perfect\" stoploss-sell is assumed anyway\n # And the regular \"stoploss\" function would not apply to that case\n self.strategy.order_types['stoploss_on_exchange'] = False\n\n def load_bt_data(self) -> Tuple[Dict[str, DataFrame], TimeRange]:\n timerange = TimeRange.parse_timerange(None if self.config.get(\n 'timerange') is None else str(self.config.get('timerange')))\n\n data = history.load_data(\n datadir=self.config['datadir'],\n pairs=self.pairlists.whitelist,\n timeframe=self.timeframe,\n timerange=timerange,\n startup_candles=self.required_startup,\n fail_without_data=True,\n data_format=self.config.get('dataformat_ohlcv', 'json'),\n )\n\n min_date, max_date = history.get_timerange(data)\n\n logger.info(\n 'Loading data from %s up to %s (%s days)..',\n min_date.isoformat(), max_date.isoformat(), (max_date - min_date).days\n )\n # Adjust startts forward if not enough data is available\n timerange.adjust_start_if_necessary(timeframe_to_seconds(self.timeframe),\n self.required_startup, min_date)\n\n return data, timerange\n\n def _get_ohlcv_as_lists(self, processed: Dict) -> Dict[str, DataFrame]:\n \"\"\"\n Helper function to convert a processed dataframes into lists for performance reasons.\n\n Used by backtest() - so keep this optimized for performance.\n \"\"\"\n headers = ['date', 'buy', 'open', 'close', 'sell', 'low', 'high']\n data: Dict = {}\n # Create dict with data\n for pair, pair_data in processed.items():\n pair_data.loc[:, 'buy'] = 0 # cleanup from previous run\n pair_data.loc[:, 'sell'] = 0 # cleanup from previous run\n\n df_analyzed = self.strategy.advise_sell(\n self.strategy.advise_buy(pair_data, {'pair': pair}), {'pair': pair})[headers].copy()\n\n # To avoid using data from future, we use buy/sell signals shifted\n # from the previous candle\n df_analyzed.loc[:, 'buy'] = df_analyzed.loc[:, 'buy'].shift(1)\n df_analyzed.loc[:, 'sell'] = df_analyzed.loc[:, 'sell'].shift(1)\n\n df_analyzed.drop(df_analyzed.head(1).index, inplace=True)\n\n # Convert from Pandas to list for performance reasons\n # (Looping Pandas is slow.)\n data[pair] = [x for x in df_analyzed.itertuples()]\n return data\n\n def _get_close_rate(self, sell_row, trade: Trade, sell: SellCheckTuple,\n trade_dur: int) -> float:\n \"\"\"\n Get close rate for backtesting result\n \"\"\"\n # Special handling if high or low hit STOP_LOSS or ROI\n if sell.sell_type in (SellType.STOP_LOSS, SellType.TRAILING_STOP_LOSS):\n # Set close_rate to stoploss\n return trade.stop_loss\n elif sell.sell_type == (SellType.ROI):\n roi_entry, roi = self.strategy.min_roi_reached_entry(trade_dur)\n if roi is not None:\n if roi == -1 and roi_entry % self.timeframe_min == 0:\n # When forceselling with ROI=-1, the roi time will always be equal to trade_dur.\n # If that entry is a multiple of the timeframe (so on candle open)\n # - we'll use open instead of close\n return sell_row.open\n\n # - (Expected abs profit + open_rate + open_fee) / (fee_close -1)\n close_rate = - (trade.open_rate * roi + trade.open_rate *\n (1 + trade.fee_open)) / (trade.fee_close - 1)\n\n if (trade_dur > 0 and trade_dur == roi_entry\n and roi_entry % self.timeframe_min == 0\n and sell_row.open > close_rate):\n # new ROI entry came into effect.\n # use Open rate if open_rate > calculated sell rate\n return sell_row.open\n\n # Use the maximum between close_rate and low as we\n # cannot sell outside of a candle.\n # Applies when a new ROI setting comes in place and the whole candle is above that.\n return max(close_rate, sell_row.low)\n\n else:\n # This should not be reached...\n return sell_row.open\n else:\n return sell_row.open\n\n def _get_sell_trade_entry(\n self, pair: str, buy_row: DataFrame,\n partial_ohlcv: List, trade_count_lock: Dict,\n stake_amount: float, max_open_trades: int) -> Optional[BacktestResult]:\n\n trade = Trade(\n pair=pair,\n open_rate=buy_row.open,\n open_date=buy_row.date,\n stake_amount=stake_amount,\n amount=stake_amount / buy_row.open,\n fee_open=self.fee,\n fee_close=self.fee,\n is_open=True,\n )\n logger.debug(f\"{pair} - Backtesting emulates creation of new trade: {trade}.\")\n # calculate win/lose forwards from buy point\n for sell_row in partial_ohlcv:\n if max_open_trades > 0:\n # Increase trade_count_lock for every iteration\n trade_count_lock[sell_row.date] = trade_count_lock.get(sell_row.date, 0) + 1\n\n sell = self.strategy.should_sell(trade, sell_row.open, sell_row.date, sell_row.buy,\n sell_row.sell, low=sell_row.low, high=sell_row.high)\n if sell.sell_flag:\n trade_dur = int((sell_row.date - buy_row.date).total_seconds() // 60)\n closerate = self._get_close_rate(sell_row, trade, sell, trade_dur)\n\n return BacktestResult(pair=pair,\n profit_percent=trade.calc_profit_ratio(rate=closerate),\n profit_abs=trade.calc_profit(rate=closerate),\n open_time=buy_row.date,\n close_time=sell_row.date,\n trade_duration=trade_dur,\n open_index=buy_row.Index,\n close_index=sell_row.Index,\n open_at_end=False,\n open_rate=buy_row.open,\n close_rate=closerate,\n sell_reason=sell.sell_type\n )\n if partial_ohlcv:\n # no sell condition found - trade stil open at end of backtest period\n sell_row = partial_ohlcv[-1]\n bt_res = BacktestResult(pair=pair,\n profit_percent=trade.calc_profit_ratio(rate=sell_row.open),\n profit_abs=trade.calc_profit(rate=sell_row.open),\n open_time=buy_row.date,\n close_time=sell_row.date,\n trade_duration=int((\n sell_row.date - buy_row.date).total_seconds() // 60),\n open_index=buy_row.Index,\n close_index=sell_row.Index,\n open_at_end=True,\n open_rate=buy_row.open,\n close_rate=sell_row.open,\n sell_reason=SellType.FORCE_SELL\n )\n logger.debug(f\"{pair} - Force selling still open trade, \"\n f\"profit percent: {bt_res.profit_percent}, \"\n f\"profit abs: {bt_res.profit_abs}\")\n\n return bt_res\n return None\n\n def backtest(self, processed: Dict, stake_amount: float,\n start_date: arrow.Arrow, end_date: arrow.Arrow,\n max_open_trades: int = 0, position_stacking: bool = False) -> DataFrame:\n \"\"\"\n Implement backtesting functionality\n\n NOTE: This method is used by Hyperopt at each iteration. Please keep it optimized.\n Of course try to not have ugly code. By some accessor are sometime slower than functions.\n Avoid extensive logging in this method and functions it calls.\n\n :param processed: a processed dictionary with format {pair, data}\n :param stake_amount: amount to use for each trade\n :param start_date: backtesting timerange start datetime\n :param end_date: backtesting timerange end datetime\n :param max_open_trades: maximum number of concurrent trades, <= 0 means unlimited\n :param position_stacking: do we allow position stacking?\n :return: DataFrame with trades (results of backtesting)\n \"\"\"\n logger.debug(f\"Run backtest, stake_amount: {stake_amount}, \"\n f\"start_date: {start_date}, end_date: {end_date}, \"\n f\"max_open_trades: {max_open_trades}, position_stacking: {position_stacking}\"\n )\n trades = []\n trade_count_lock: Dict = {}\n\n # Use dict of lists with data for performance\n # (looping lists is a lot faster than pandas DataFrames)\n data: Dict = self._get_ohlcv_as_lists(processed)\n\n lock_pair_until: Dict = {}\n # Indexes per pair, so some pairs are allowed to have a missing start.\n indexes: Dict = {}\n tmp = start_date + timedelta(minutes=self.timeframe_min)\n\n # Loop timerange and get candle for each pair at that point in time\n while tmp < end_date:\n\n for i, pair in enumerate(data):\n if pair not in indexes:\n indexes[pair] = 0\n\n try:\n row = data[pair][indexes[pair]]\n except IndexError:\n # missing Data for one pair at the end.\n # Warnings for this are shown during data loading\n continue\n\n # Waits until the time-counter reaches the start of the data for this pair.\n if row.date > tmp.datetime:\n continue\n\n indexes[pair] += 1\n\n if row.buy == 0 or row.sell == 1:\n continue # skip rows where no buy signal or that would immediately sell off\n\n if (not position_stacking and pair in lock_pair_until\n and row.date <= lock_pair_until[pair]):\n # without positionstacking, we can only have one open trade per pair.\n continue\n\n if max_open_trades > 0:\n # Check if max_open_trades has already been reached for the given date\n if not trade_count_lock.get(row.date, 0) < max_open_trades:\n continue\n trade_count_lock[row.date] = trade_count_lock.get(row.date, 0) + 1\n\n # since indexes has been incremented before, we need to go one step back to\n # also check the buying candle for sell conditions.\n trade_entry = self._get_sell_trade_entry(pair, row, data[pair][indexes[pair]-1:],\n trade_count_lock, stake_amount,\n max_open_trades)\n\n if trade_entry:\n logger.debug(f\"{pair} - Locking pair till \"\n f\"close_time={trade_entry.close_time}\")\n lock_pair_until[pair] = trade_entry.close_time\n trades.append(trade_entry)\n else:\n # Set lock_pair_until to end of testing period if trade could not be closed\n lock_pair_until[pair] = end_date.datetime\n\n # Move time one configured time_interval ahead.\n tmp += timedelta(minutes=self.timeframe_min)\n return DataFrame.from_records(trades, columns=BacktestResult._fields)\n\n def start(self) -> None:\n \"\"\"\n Run backtesting end-to-end\n :return: None\n \"\"\"\n data: Dict[str, Any] = {}\n\n logger.info('Using stake_currency: %s ...', self.config['stake_currency'])\n logger.info('Using stake_amount: %s ...', self.config['stake_amount'])\n\n # Use max_open_trades in backtesting, except --disable-max-market-positions is set\n if self.config.get('use_max_market_positions', True):\n max_open_trades = self.config['max_open_trades']\n else:\n logger.info('Ignoring max_open_trades (--disable-max-market-positions was used) ...')\n max_open_trades = 0\n position_stacking = self.config.get('position_stacking', False)\n\n data, timerange = self.load_bt_data()\n\n all_results = {}\n for strat in self.strategylist:\n logger.info(\"Running backtesting for Strategy %s\", strat.get_strategy_name())\n self._set_strategy(strat)\n\n # need to reprocess data every time to populate signals\n preprocessed = self.strategy.ohlcvdata_to_dataframe(data)\n\n # Trim startup period from analyzed dataframe\n for pair, df in preprocessed.items():\n preprocessed[pair] = trim_dataframe(df, timerange)\n min_date, max_date = history.get_timerange(preprocessed)\n\n logger.info(\n 'Backtesting with data from %s up to %s (%s days)..',\n min_date.isoformat(), max_date.isoformat(), (max_date - min_date).days\n )\n # Execute backtest and print results\n all_results[self.strategy.get_strategy_name()] = self.backtest(\n processed=preprocessed,\n stake_amount=self.config['stake_amount'],\n start_date=min_date,\n end_date=max_date,\n max_open_trades=max_open_trades,\n position_stacking=position_stacking,\n )\n\n if self.config.get('export', False):\n store_backtest_result(self.config['exportfilename'], all_results)\n # Show backtest results\n stats = generate_backtest_stats(self.config, data, all_results)\n show_backtest_results(self.config, stats)\n","path":"freqtrade/optimize/backtesting.py"}],"string":"[\n {\n \"content\": \"# pragma pylint: disable=missing-docstring, W0212, too-many-arguments\\n\\n\\\"\\\"\\\"\\nThis module contains the backtesting logic\\n\\\"\\\"\\\"\\nimport logging\\nfrom copy import deepcopy\\nfrom datetime import datetime, timedelta\\nfrom typing import Any, Dict, List, NamedTuple, Optional, Tuple\\n\\nimport arrow\\nfrom pandas import DataFrame\\n\\nfrom freqtrade.configuration import (TimeRange, remove_credentials,\\n validate_config_consistency)\\nfrom freqtrade.data import history\\nfrom freqtrade.data.converter import trim_dataframe\\nfrom freqtrade.data.dataprovider import DataProvider\\nfrom freqtrade.exceptions import OperationalException\\nfrom freqtrade.exchange import timeframe_to_minutes, timeframe_to_seconds\\nfrom freqtrade.optimize.optimize_reports import (generate_backtest_stats,\\n show_backtest_results,\\n store_backtest_result)\\nfrom freqtrade.pairlist.pairlistmanager import PairListManager\\nfrom freqtrade.persistence import Trade\\nfrom freqtrade.resolvers import ExchangeResolver, StrategyResolver\\nfrom freqtrade.state import RunMode\\nfrom freqtrade.strategy.interface import IStrategy, SellCheckTuple, SellType\\n\\nlogger = logging.getLogger(__name__)\\n\\n\\nclass BacktestResult(NamedTuple):\\n \\\"\\\"\\\"\\n NamedTuple Defining BacktestResults inputs.\\n \\\"\\\"\\\"\\n pair: str\\n profit_percent: float\\n profit_abs: float\\n open_time: datetime\\n close_time: datetime\\n open_index: int\\n close_index: int\\n trade_duration: float\\n open_at_end: bool\\n open_rate: float\\n close_rate: float\\n sell_reason: SellType\\n\\n\\nclass Backtesting:\\n \\\"\\\"\\\"\\n Backtesting class, this class contains all the logic to run a backtest\\n\\n To run a backtest:\\n backtesting = Backtesting(config)\\n backtesting.start()\\n \\\"\\\"\\\"\\n\\n def __init__(self, config: Dict[str, Any]) -> None:\\n self.config = config\\n\\n # Reset keys for backtesting\\n remove_credentials(self.config)\\n self.strategylist: List[IStrategy] = []\\n self.exchange = ExchangeResolver.load_exchange(self.config['exchange']['name'], self.config)\\n\\n if self.config.get('runmode') != RunMode.HYPEROPT:\\n self.dataprovider = DataProvider(self.config, self.exchange)\\n IStrategy.dp = self.dataprovider\\n\\n if self.config.get('strategy_list', None):\\n for strat in list(self.config['strategy_list']):\\n stratconf = deepcopy(self.config)\\n stratconf['strategy'] = strat\\n self.strategylist.append(StrategyResolver.load_strategy(stratconf))\\n validate_config_consistency(stratconf)\\n\\n else:\\n # No strategy list specified, only one strategy\\n self.strategylist.append(StrategyResolver.load_strategy(self.config))\\n validate_config_consistency(self.config)\\n\\n if \\\"timeframe\\\" not in self.config:\\n raise OperationalException(\\\"Timeframe (ticker interval) needs to be set in either \\\"\\n \\\"configuration or as cli argument `--timeframe 5m`\\\")\\n self.timeframe = str(self.config.get('timeframe'))\\n self.timeframe_min = timeframe_to_minutes(self.timeframe)\\n\\n self.pairlists = PairListManager(self.exchange, self.config)\\n if 'VolumePairList' in self.pairlists.name_list:\\n raise OperationalException(\\\"VolumePairList not allowed for backtesting.\\\")\\n\\n if len(self.strategylist) > 1 and 'PrecisionFilter' in self.pairlists.name_list:\\n raise OperationalException(\\n \\\"PrecisionFilter not allowed for backtesting multiple strategies.\\\"\\n )\\n\\n self.pairlists.refresh_pairlist()\\n\\n if len(self.pairlists.whitelist) == 0:\\n raise OperationalException(\\\"No pair in whitelist.\\\")\\n\\n if config.get('fee', None) is not None:\\n self.fee = config['fee']\\n else:\\n self.fee = self.exchange.get_fee(symbol=self.pairlists.whitelist[0])\\n\\n # Get maximum required startup period\\n self.required_startup = max([strat.startup_candle_count for strat in self.strategylist])\\n # Load one (first) strategy\\n self._set_strategy(self.strategylist[0])\\n\\n def _set_strategy(self, strategy):\\n \\\"\\\"\\\"\\n Load strategy into backtesting\\n \\\"\\\"\\\"\\n self.strategy = strategy\\n # Set stoploss_on_exchange to false for backtesting,\\n # since a \\\"perfect\\\" stoploss-sell is assumed anyway\\n # And the regular \\\"stoploss\\\" function would not apply to that case\\n self.strategy.order_types['stoploss_on_exchange'] = False\\n\\n def load_bt_data(self) -> Tuple[Dict[str, DataFrame], TimeRange]:\\n timerange = TimeRange.parse_timerange(None if self.config.get(\\n 'timerange') is None else str(self.config.get('timerange')))\\n\\n data = history.load_data(\\n datadir=self.config['datadir'],\\n pairs=self.pairlists.whitelist,\\n timeframe=self.timeframe,\\n timerange=timerange,\\n startup_candles=self.required_startup,\\n fail_without_data=True,\\n data_format=self.config.get('dataformat_ohlcv', 'json'),\\n )\\n\\n min_date, max_date = history.get_timerange(data)\\n\\n logger.info(\\n 'Loading data from %s up to %s (%s days)..',\\n min_date.isoformat(), max_date.isoformat(), (max_date - min_date).days\\n )\\n # Adjust startts forward if not enough data is available\\n timerange.adjust_start_if_necessary(timeframe_to_seconds(self.timeframe),\\n self.required_startup, min_date)\\n\\n return data, timerange\\n\\n def _get_ohlcv_as_lists(self, processed: Dict) -> Dict[str, DataFrame]:\\n \\\"\\\"\\\"\\n Helper function to convert a processed dataframes into lists for performance reasons.\\n\\n Used by backtest() - so keep this optimized for performance.\\n \\\"\\\"\\\"\\n headers = ['date', 'buy', 'open', 'close', 'sell', 'low', 'high']\\n data: Dict = {}\\n # Create dict with data\\n for pair, pair_data in processed.items():\\n pair_data.loc[:, 'buy'] = 0 # cleanup from previous run\\n pair_data.loc[:, 'sell'] = 0 # cleanup from previous run\\n\\n df_analyzed = self.strategy.advise_sell(\\n self.strategy.advise_buy(pair_data, {'pair': pair}), {'pair': pair})[headers].copy()\\n\\n # To avoid using data from future, we use buy/sell signals shifted\\n # from the previous candle\\n df_analyzed.loc[:, 'buy'] = df_analyzed.loc[:, 'buy'].shift(1)\\n df_analyzed.loc[:, 'sell'] = df_analyzed.loc[:, 'sell'].shift(1)\\n\\n df_analyzed.drop(df_analyzed.head(1).index, inplace=True)\\n\\n # Convert from Pandas to list for performance reasons\\n # (Looping Pandas is slow.)\\n data[pair] = [x for x in df_analyzed.itertuples()]\\n return data\\n\\n def _get_close_rate(self, sell_row, trade: Trade, sell: SellCheckTuple,\\n trade_dur: int) -> float:\\n \\\"\\\"\\\"\\n Get close rate for backtesting result\\n \\\"\\\"\\\"\\n # Special handling if high or low hit STOP_LOSS or ROI\\n if sell.sell_type in (SellType.STOP_LOSS, SellType.TRAILING_STOP_LOSS):\\n # Set close_rate to stoploss\\n return trade.stop_loss\\n elif sell.sell_type == (SellType.ROI):\\n roi_entry, roi = self.strategy.min_roi_reached_entry(trade_dur)\\n if roi is not None:\\n if roi == -1 and roi_entry % self.timeframe_min == 0:\\n # When forceselling with ROI=-1, the roi time will always be equal to trade_dur.\\n # If that entry is a multiple of the timeframe (so on candle open)\\n # - we'll use open instead of close\\n return sell_row.open\\n\\n # - (Expected abs profit + open_rate + open_fee) / (fee_close -1)\\n close_rate = - (trade.open_rate * roi + trade.open_rate *\\n (1 + trade.fee_open)) / (trade.fee_close - 1)\\n\\n if (trade_dur > 0 and trade_dur == roi_entry\\n and roi_entry % self.timeframe_min == 0\\n and sell_row.open > close_rate):\\n # new ROI entry came into effect.\\n # use Open rate if open_rate > calculated sell rate\\n return sell_row.open\\n\\n # Use the maximum between close_rate and low as we\\n # cannot sell outside of a candle.\\n # Applies when a new ROI setting comes in place and the whole candle is above that.\\n return max(close_rate, sell_row.low)\\n\\n else:\\n # This should not be reached...\\n return sell_row.open\\n else:\\n return sell_row.open\\n\\n def _get_sell_trade_entry(\\n self, pair: str, buy_row: DataFrame,\\n partial_ohlcv: List, trade_count_lock: Dict,\\n stake_amount: float, max_open_trades: int) -> Optional[BacktestResult]:\\n\\n trade = Trade(\\n pair=pair,\\n open_rate=buy_row.open,\\n open_date=buy_row.date,\\n stake_amount=stake_amount,\\n amount=stake_amount / buy_row.open,\\n fee_open=self.fee,\\n fee_close=self.fee,\\n is_open=True,\\n )\\n logger.debug(f\\\"{pair} - Backtesting emulates creation of new trade: {trade}.\\\")\\n # calculate win/lose forwards from buy point\\n for sell_row in partial_ohlcv:\\n if max_open_trades > 0:\\n # Increase trade_count_lock for every iteration\\n trade_count_lock[sell_row.date] = trade_count_lock.get(sell_row.date, 0) + 1\\n\\n sell = self.strategy.should_sell(trade, sell_row.open, sell_row.date, sell_row.buy,\\n sell_row.sell, low=sell_row.low, high=sell_row.high)\\n if sell.sell_flag:\\n trade_dur = int((sell_row.date - buy_row.date).total_seconds() // 60)\\n closerate = self._get_close_rate(sell_row, trade, sell, trade_dur)\\n\\n return BacktestResult(pair=pair,\\n profit_percent=trade.calc_profit_ratio(rate=closerate),\\n profit_abs=trade.calc_profit(rate=closerate),\\n open_time=buy_row.date,\\n close_time=sell_row.date,\\n trade_duration=trade_dur,\\n open_index=buy_row.Index,\\n close_index=sell_row.Index,\\n open_at_end=False,\\n open_rate=buy_row.open,\\n close_rate=closerate,\\n sell_reason=sell.sell_type\\n )\\n if partial_ohlcv:\\n # no sell condition found - trade stil open at end of backtest period\\n sell_row = partial_ohlcv[-1]\\n bt_res = BacktestResult(pair=pair,\\n profit_percent=trade.calc_profit_ratio(rate=sell_row.open),\\n profit_abs=trade.calc_profit(rate=sell_row.open),\\n open_time=buy_row.date,\\n close_time=sell_row.date,\\n trade_duration=int((\\n sell_row.date - buy_row.date).total_seconds() // 60),\\n open_index=buy_row.Index,\\n close_index=sell_row.Index,\\n open_at_end=True,\\n open_rate=buy_row.open,\\n close_rate=sell_row.open,\\n sell_reason=SellType.FORCE_SELL\\n )\\n logger.debug(f\\\"{pair} - Force selling still open trade, \\\"\\n f\\\"profit percent: {bt_res.profit_percent}, \\\"\\n f\\\"profit abs: {bt_res.profit_abs}\\\")\\n\\n return bt_res\\n return None\\n\\n def backtest(self, processed: Dict, stake_amount: float,\\n start_date: arrow.Arrow, end_date: arrow.Arrow,\\n max_open_trades: int = 0, position_stacking: bool = False) -> DataFrame:\\n \\\"\\\"\\\"\\n Implement backtesting functionality\\n\\n NOTE: This method is used by Hyperopt at each iteration. Please keep it optimized.\\n Of course try to not have ugly code. By some accessor are sometime slower than functions.\\n Avoid extensive logging in this method and functions it calls.\\n\\n :param processed: a processed dictionary with format {pair, data}\\n :param stake_amount: amount to use for each trade\\n :param start_date: backtesting timerange start datetime\\n :param end_date: backtesting timerange end datetime\\n :param max_open_trades: maximum number of concurrent trades, <= 0 means unlimited\\n :param position_stacking: do we allow position stacking?\\n :return: DataFrame with trades (results of backtesting)\\n \\\"\\\"\\\"\\n logger.debug(f\\\"Run backtest, stake_amount: {stake_amount}, \\\"\\n f\\\"start_date: {start_date}, end_date: {end_date}, \\\"\\n f\\\"max_open_trades: {max_open_trades}, position_stacking: {position_stacking}\\\"\\n )\\n trades = []\\n trade_count_lock: Dict = {}\\n\\n # Use dict of lists with data for performance\\n # (looping lists is a lot faster than pandas DataFrames)\\n data: Dict = self._get_ohlcv_as_lists(processed)\\n\\n lock_pair_until: Dict = {}\\n # Indexes per pair, so some pairs are allowed to have a missing start.\\n indexes: Dict = {}\\n tmp = start_date + timedelta(minutes=self.timeframe_min)\\n\\n # Loop timerange and get candle for each pair at that point in time\\n while tmp < end_date:\\n\\n for i, pair in enumerate(data):\\n if pair not in indexes:\\n indexes[pair] = 0\\n\\n try:\\n row = data[pair][indexes[pair]]\\n except IndexError:\\n # missing Data for one pair at the end.\\n # Warnings for this are shown during data loading\\n continue\\n\\n # Waits until the time-counter reaches the start of the data for this pair.\\n if row.date > tmp.datetime:\\n continue\\n\\n indexes[pair] += 1\\n\\n if row.buy == 0 or row.sell == 1:\\n continue # skip rows where no buy signal or that would immediately sell off\\n\\n if (not position_stacking and pair in lock_pair_until\\n and row.date <= lock_pair_until[pair]):\\n # without positionstacking, we can only have one open trade per pair.\\n continue\\n\\n if max_open_trades > 0:\\n # Check if max_open_trades has already been reached for the given date\\n if not trade_count_lock.get(row.date, 0) < max_open_trades:\\n continue\\n trade_count_lock[row.date] = trade_count_lock.get(row.date, 0) + 1\\n\\n # since indexes has been incremented before, we need to go one step back to\\n # also check the buying candle for sell conditions.\\n trade_entry = self._get_sell_trade_entry(pair, row, data[pair][indexes[pair]-1:],\\n trade_count_lock, stake_amount,\\n max_open_trades)\\n\\n if trade_entry:\\n logger.debug(f\\\"{pair} - Locking pair till \\\"\\n f\\\"close_time={trade_entry.close_time}\\\")\\n lock_pair_until[pair] = trade_entry.close_time\\n trades.append(trade_entry)\\n else:\\n # Set lock_pair_until to end of testing period if trade could not be closed\\n lock_pair_until[pair] = end_date.datetime\\n\\n # Move time one configured time_interval ahead.\\n tmp += timedelta(minutes=self.timeframe_min)\\n return DataFrame.from_records(trades, columns=BacktestResult._fields)\\n\\n def start(self) -> None:\\n \\\"\\\"\\\"\\n Run backtesting end-to-end\\n :return: None\\n \\\"\\\"\\\"\\n data: Dict[str, Any] = {}\\n\\n logger.info('Using stake_currency: %s ...', self.config['stake_currency'])\\n logger.info('Using stake_amount: %s ...', self.config['stake_amount'])\\n\\n # Use max_open_trades in backtesting, except --disable-max-market-positions is set\\n if self.config.get('use_max_market_positions', True):\\n max_open_trades = self.config['max_open_trades']\\n else:\\n logger.info('Ignoring max_open_trades (--disable-max-market-positions was used) ...')\\n max_open_trades = 0\\n position_stacking = self.config.get('position_stacking', False)\\n\\n data, timerange = self.load_bt_data()\\n\\n all_results = {}\\n for strat in self.strategylist:\\n logger.info(\\\"Running backtesting for Strategy %s\\\", strat.get_strategy_name())\\n self._set_strategy(strat)\\n\\n # need to reprocess data every time to populate signals\\n preprocessed = self.strategy.ohlcvdata_to_dataframe(data)\\n\\n # Trim startup period from analyzed dataframe\\n for pair, df in preprocessed.items():\\n preprocessed[pair] = trim_dataframe(df, timerange)\\n min_date, max_date = history.get_timerange(preprocessed)\\n\\n logger.info(\\n 'Backtesting with data from %s up to %s (%s days)..',\\n min_date.isoformat(), max_date.isoformat(), (max_date - min_date).days\\n )\\n # Execute backtest and print results\\n all_results[self.strategy.get_strategy_name()] = self.backtest(\\n processed=preprocessed,\\n stake_amount=self.config['stake_amount'],\\n start_date=min_date,\\n end_date=max_date,\\n max_open_trades=max_open_trades,\\n position_stacking=position_stacking,\\n )\\n\\n if self.config.get('export', False):\\n store_backtest_result(self.config['exportfilename'], all_results)\\n # Show backtest results\\n stats = generate_backtest_stats(self.config, data, all_results)\\n show_backtest_results(self.config, stats)\\n\",\n \"path\": \"freqtrade/optimize/backtesting.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py\nindex e5014dd5a3c..214c92e0ed6 100644\n--- a/freqtrade/optimize/backtesting.py\n+++ b/freqtrade/optimize/backtesting.py\n@@ -101,7 +101,7 @@ def __init__(self, config: Dict[str, Any]) -> None:\n if len(self.pairlists.whitelist) == 0:\n raise OperationalException(\"No pair in whitelist.\")\n \n- if config.get('fee'):\n+ if config.get('fee', None) is not None:\n self.fee = config['fee']\n else:\n self.fee = self.exchange.get_fee(symbol=self.pairlists.whitelist[0])\ndiff --git a/tests/optimize/test_backtesting.py b/tests/optimize/test_backtesting.py\nindex 67da3864815..caa40fe841a 100644\n--- a/tests/optimize/test_backtesting.py\n+++ b/tests/optimize/test_backtesting.py\n@@ -308,6 +308,11 @@ def test_data_with_fee(default_conf, mocker, testdatadir) -> None:\n assert backtesting.fee == 0.1234\n assert fee_mock.call_count == 0\n \n+ default_conf['fee'] = 0.0\n+ backtesting = Backtesting(default_conf)\n+ assert backtesting.fee == 0.0\n+ assert fee_mock.call_count == 0\n+\n \n def test_data_to_dataframe_bt(default_conf, mocker, testdatadir) -> None:\n patch_exchange(mocker)\n"}}},{"rowIdx":6591,"cells":{"in_source_id":{"kind":"string","value":"scipy__scipy-5920"},"issue":{"kind":"string","value":"\"master\" fails to build with MKL\nRecently, when I try to build the \"master\" branch, I keep getting this error from `linalg/solve/dsolve/setup.py`:\n\n``` .Python\nValueError: list.remove(x): x not in list\n```\n\nThe error traces to this block of code <a href=\"https://github.com/scipy/scipy/blob/master/scipy/sparse/linalg/dsolve/setup.py#L30-L32\">here</a>, for it seems that the `lsame.c` file does not exist in the list of sources. Sure enough, when I remove this check, `scipy` builds successfully and tests pass.\n\nI don't know what happened recently that caused this setup to break (it has never happened before until now), but is anyone else getting this issue?\n\nSetup: Python 3.5.1, Windows 7, `numpy` 1.10.4, MKL\n\n"},"before_files":{"kind":"list like","value":[{"content":"#!/usr/bin/env python\nfrom __future__ import division, print_function, absolute_import\n\nfrom os.path import join, dirname\nimport sys\nimport os\nimport glob\n\n\ndef configuration(parent_package='',top_path=None):\n from numpy.distutils.misc_util import Configuration\n from numpy.distutils.system_info import get_info\n from scipy._build_utils import get_sgemv_fix\n from scipy._build_utils import numpy_nodepr_api\n\n config = Configuration('dsolve',parent_package,top_path)\n config.add_data_dir('tests')\n\n lapack_opt = get_info('lapack_opt',notfound_action=2)\n if sys.platform == 'win32':\n superlu_defs = [('NO_TIMER',1)]\n else:\n superlu_defs = []\n superlu_defs.append(('USE_VENDOR_BLAS',1))\n\n superlu_src = join(dirname(__file__), 'SuperLU', 'SRC')\n\n sources = list(glob.glob(join(superlu_src, '*.c')))\n headers = list(glob.glob(join(superlu_src, '*.h')))\n if os.name == 'nt' and ('FPATH' in os.environ or 'MKLROOT' in os.environ):\n # when using MSVC + MKL, lsame is already in MKL\n sources.remove(join(superlu_src, 'lsame.c'))\n\n config.add_library('superlu_src',\n sources=sources,\n macros=superlu_defs,\n include_dirs=[superlu_src],\n )\n\n # Extension\n ext_sources = ['_superlumodule.c',\n '_superlu_utils.c',\n '_superluobject.c']\n ext_sources += get_sgemv_fix(lapack_opt)\n\n config.add_extension('_superlu',\n sources=ext_sources,\n libraries=['superlu_src'],\n depends=(sources + headers),\n extra_info=lapack_opt,\n **numpy_nodepr_api\n )\n\n return config\n\nif __name__ == '__main__':\n from numpy.distutils.core import setup\n setup(**configuration(top_path='').todict())\n","path":"scipy/sparse/linalg/dsolve/setup.py"}],"string":"[\n {\n \"content\": \"#!/usr/bin/env python\\nfrom __future__ import division, print_function, absolute_import\\n\\nfrom os.path import join, dirname\\nimport sys\\nimport os\\nimport glob\\n\\n\\ndef configuration(parent_package='',top_path=None):\\n from numpy.distutils.misc_util import Configuration\\n from numpy.distutils.system_info import get_info\\n from scipy._build_utils import get_sgemv_fix\\n from scipy._build_utils import numpy_nodepr_api\\n\\n config = Configuration('dsolve',parent_package,top_path)\\n config.add_data_dir('tests')\\n\\n lapack_opt = get_info('lapack_opt',notfound_action=2)\\n if sys.platform == 'win32':\\n superlu_defs = [('NO_TIMER',1)]\\n else:\\n superlu_defs = []\\n superlu_defs.append(('USE_VENDOR_BLAS',1))\\n\\n superlu_src = join(dirname(__file__), 'SuperLU', 'SRC')\\n\\n sources = list(glob.glob(join(superlu_src, '*.c')))\\n headers = list(glob.glob(join(superlu_src, '*.h')))\\n if os.name == 'nt' and ('FPATH' in os.environ or 'MKLROOT' in os.environ):\\n # when using MSVC + MKL, lsame is already in MKL\\n sources.remove(join(superlu_src, 'lsame.c'))\\n\\n config.add_library('superlu_src',\\n sources=sources,\\n macros=superlu_defs,\\n include_dirs=[superlu_src],\\n )\\n\\n # Extension\\n ext_sources = ['_superlumodule.c',\\n '_superlu_utils.c',\\n '_superluobject.c']\\n ext_sources += get_sgemv_fix(lapack_opt)\\n\\n config.add_extension('_superlu',\\n sources=ext_sources,\\n libraries=['superlu_src'],\\n depends=(sources + headers),\\n extra_info=lapack_opt,\\n **numpy_nodepr_api\\n )\\n\\n return config\\n\\nif __name__ == '__main__':\\n from numpy.distutils.core import setup\\n setup(**configuration(top_path='').todict())\\n\",\n \"path\": \"scipy/sparse/linalg/dsolve/setup.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"#!/usr/bin/env python\nfrom __future__ import division, print_function, absolute_import\n\nfrom os.path import join, dirname\nimport sys\nimport os\nimport glob\n\n\ndef configuration(parent_package='',top_path=None):\n from numpy.distutils.misc_util import Configuration\n from numpy.distutils.system_info import get_info\n from scipy._build_utils import get_sgemv_fix\n from scipy._build_utils import numpy_nodepr_api\n\n config = Configuration('dsolve',parent_package,top_path)\n config.add_data_dir('tests')\n\n lapack_opt = get_info('lapack_opt',notfound_action=2)\n if sys.platform == 'win32':\n superlu_defs = [('NO_TIMER',1)]\n else:\n superlu_defs = []\n superlu_defs.append(('USE_VENDOR_BLAS',1))\n\n superlu_src = join(dirname(__file__), 'SuperLU', 'SRC')\n\n sources = list(glob.glob(join(superlu_src, '*.c')))\n headers = list(glob.glob(join(superlu_src, '*.h')))\n\n config.add_library('superlu_src',\n sources=sources,\n macros=superlu_defs,\n include_dirs=[superlu_src],\n )\n\n # Extension\n ext_sources = ['_superlumodule.c',\n '_superlu_utils.c',\n '_superluobject.c']\n ext_sources += get_sgemv_fix(lapack_opt)\n\n config.add_extension('_superlu',\n sources=ext_sources,\n libraries=['superlu_src'],\n depends=(sources + headers),\n extra_info=lapack_opt,\n **numpy_nodepr_api\n )\n\n return config\n\nif __name__ == '__main__':\n from numpy.distutils.core import setup\n setup(**configuration(top_path='').todict())\n","path":"scipy/sparse/linalg/dsolve/setup.py"}],"string":"[\n {\n \"content\": \"#!/usr/bin/env python\\nfrom __future__ import division, print_function, absolute_import\\n\\nfrom os.path import join, dirname\\nimport sys\\nimport os\\nimport glob\\n\\n\\ndef configuration(parent_package='',top_path=None):\\n from numpy.distutils.misc_util import Configuration\\n from numpy.distutils.system_info import get_info\\n from scipy._build_utils import get_sgemv_fix\\n from scipy._build_utils import numpy_nodepr_api\\n\\n config = Configuration('dsolve',parent_package,top_path)\\n config.add_data_dir('tests')\\n\\n lapack_opt = get_info('lapack_opt',notfound_action=2)\\n if sys.platform == 'win32':\\n superlu_defs = [('NO_TIMER',1)]\\n else:\\n superlu_defs = []\\n superlu_defs.append(('USE_VENDOR_BLAS',1))\\n\\n superlu_src = join(dirname(__file__), 'SuperLU', 'SRC')\\n\\n sources = list(glob.glob(join(superlu_src, '*.c')))\\n headers = list(glob.glob(join(superlu_src, '*.h')))\\n\\n config.add_library('superlu_src',\\n sources=sources,\\n macros=superlu_defs,\\n include_dirs=[superlu_src],\\n )\\n\\n # Extension\\n ext_sources = ['_superlumodule.c',\\n '_superlu_utils.c',\\n '_superluobject.c']\\n ext_sources += get_sgemv_fix(lapack_opt)\\n\\n config.add_extension('_superlu',\\n sources=ext_sources,\\n libraries=['superlu_src'],\\n depends=(sources + headers),\\n extra_info=lapack_opt,\\n **numpy_nodepr_api\\n )\\n\\n return config\\n\\nif __name__ == '__main__':\\n from numpy.distutils.core import setup\\n setup(**configuration(top_path='').todict())\\n\",\n \"path\": \"scipy/sparse/linalg/dsolve/setup.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/scipy/sparse/linalg/dsolve/setup.py b/scipy/sparse/linalg/dsolve/setup.py\nindex fef166100d42..21b617ff705c 100755\n--- a/scipy/sparse/linalg/dsolve/setup.py\n+++ b/scipy/sparse/linalg/dsolve/setup.py\n@@ -27,9 +27,6 @@ def configuration(parent_package='',top_path=None):\n \n sources = list(glob.glob(join(superlu_src, '*.c')))\n headers = list(glob.glob(join(superlu_src, '*.h')))\n- if os.name == 'nt' and ('FPATH' in os.environ or 'MKLROOT' in os.environ):\n- # when using MSVC + MKL, lsame is already in MKL\n- sources.remove(join(superlu_src, 'lsame.c'))\n \n config.add_library('superlu_src',\n sources=sources,\n"}}},{"rowIdx":6592,"cells":{"in_source_id":{"kind":"string","value":"lutris__lutris-4217"},"issue":{"kind":"string","value":"[issue] AttributeError 'NoneType' when calling dll_manager.version.lower()\n### Bug description\n\nTrying to install Star Citizen, when Lutris try to install DLLs it throw an error. `NoneType' object has no attribute 'lower'`.\r\nI realize is similar to the #3787 and I was using 0.5.9.1, and I upgraded to 0.5.10, but it is not the same.\r\n\r\n```bash\r\nERROR 2022-04-12 00:42:28,265 [jobs.target:36]:Error while completing task <bound method CommandsMixin.task of <interpreter.ScriptInterpreter object at 0x7f5ff2393880 (lutris+installer+interpreter+ScriptInterpreter at 0x2b6ed40)>>: <class 'AttributeError'> 'NoneType' object has no attribute 'lower'\r\n File \"/usr/lib64/python3.9/site-packages/lutris/util/jobs.py\", line 34, in target\r\n result = self.function(*args, **kwargs)\r\n File \"/usr/lib64/python3.9/site-packages/lutris/installer/commands.py\", line 436, in task\r\n command = task(**data)\r\n File \"/usr/lib64/python3.9/site-packages/lutris/runners/commands/wine.py\", line 346, in winetricks\r\n return wineexec(\r\n File \"/usr/lib64/python3.9/site-packages/lutris/runners/commands/wine.py\", line 299, in wineexec\r\n wine.prelaunch()\r\n File \"/usr/lib64/python3.9/site-packages/lutris/runners/wine.py\", line 799, in prelaunch\r\n self.setup_dlls(\r\n File \"/usr/lib64/python3.9/site-packages/lutris/runners/wine.py\", line 776, in setup_dlls\r\n if dll_manager.version.lower() != \"manual\":\r\nERROR 2022-04-12 00:42:28,266 [interpreter._iter_commands:302]:Last install command failed, show error\r\n```\n\n### How to Reproduce\n\nSteps to reproduce the behavior:\r\n1. Try to install Star Citizen\r\n2. After clicking on Install the problem arise\n\n### Expected behavior\n\nInstall the game.\n\n### Log output\n\n```shell\nINFO 2022-04-12 00:54:54,131 [startup.init_lutris:173]:Starting Lutris 0.5.10\r\nWARNING 2022-04-12 00:54:54,159 [libretro.get_libretro_cores:24]:No folder at /home/schenkel/.local/share/lutris/runners/retroarch/\r\nDEBUG 2022-04-12 00:54:54,167 [xrandr._get_vidmodes:15]:Retrieving video modes from XrandR\r\nINFO 2022-04-12 00:54:54,199 [startup.check_driver:65]:Running AMD Mesa driver 21.3.8 on AMD Radeon RX 6800 XT (SIENNA_CICHLID, DRM 3.44.0, 5.17.2, LLVM 13.0.1) (0x73bf)\r\nINFO 2022-04-12 00:54:54,199 [startup.check_driver:77]:GPU: 1002:73BF 1043:04F2 (amdgpu drivers)\r\nWARNING: radv is not a conformant Vulkan implementation, testing use only.\r\nINFO 2022-04-12 00:54:54,278 [startup.update_runtime:213]:Startup complete\r\nDEBUG 2022-04-12 00:54:54,430 [lutriswindow.update_store:437]:Showing 0 games\r\nDEBUG 2022-04-12 00:54:56,837 [application.show_window:332]:Showing window AddGamesWindow{}\r\nDEBUG 2022-04-12 00:55:01,559 [http.get:83]:GET https://lutris.net/api/games?search=star+citizen&with-installers=True\r\nDEBUG 2022-04-12 00:55:02,957 [api.get_game_installers:160]:Fetching installer https://lutris.net/api/installers/star-citizen\r\nDEBUG 2022-04-12 00:55:02,958 [http.get:83]:GET https://lutris.net/api/installers/star-citizen\r\nDEBUG 2022-04-12 00:55:03,380 [application.show_window:332]:Showing window InstallerWindowstar-citizen\r\nDEBUG 2022-04-12 00:55:03,381 [application.on_app_window_destroyed:350]:Removed window AddGamesWindow{}\r\nDEBUG 2022-04-12 00:55:04,146 [xrandr._get_vidmodes:15]:Retrieving video modes from XrandR\r\nDEBUG 2022-04-12 00:55:05,568 [interpreter.get_extras:159]:Checking if service provide extra files\r\nDEBUG 2022-04-12 00:55:05,568 [installer.prepare_game_files:146]:No service to retrieve files from\r\nDEBUG 2022-04-12 00:55:05,582 [interpreter.create_game_folder:181]:Creating destination path /home/schenkel/Games/star-citizen\r\nDEBUG 2022-04-12 00:55:07,036 [downloader.start:65]:⬇ https://install.robertsspaceindustries.com/star-citizen/RSI-Setup-1.5.4.exe\r\nDEBUG 2022-04-12 00:55:12,200 [downloader.download_cb:125]:Finished downloading https://install.robertsspaceindustries.com/star-citizen/RSI-Setup-1.5.4.exe\r\nINFO 2022-04-12 00:55:12,547 [file_box.on_download_complete:252]:Download completed\r\nDEBUG 2022-04-12 00:55:12,547 [files_box.on_file_available:93]:client is available\r\nINFO 2022-04-12 00:55:12,547 [files_box.on_file_available:99]:All files available\r\nINFO 2022-04-12 00:55:12,547 [installerwindow.on_files_available:463]:All files are available, continuing install\r\nDEBUG 2022-04-12 00:55:12,549 [interpreter._iter_commands:317]:Installer command: {'task': {'arch': 'win64', 'name': 'create_prefix', 'prefix': '$GAMEDIR'}}\r\nINFO 2022-04-12 00:55:12,551 [wine.create_prefix:96]:Creating a win64 prefix in /home/schenkel/Games/star-citizen\r\nDEBUG 2022-04-12 00:55:12,552 [system.execute:56]:Executing /home/schenkel/.local/share/lutris/runners/wine/lutris-fshack-6.21-6-x86_64/bin/wineboot\r\nDEBUG 2022-04-12 00:55:12,552 [system.execute:62]:WINEARCH=win64 WINEPREFIX=/home/schenkel/Games/star-citizen WINEDLLOVERRIDES=winemenubuilder= WINE_MONO_CACHE_DIR=/home/schenkel/.local/share/lutris/runners/wine/lutris-fshack-6.21-6-x86_64/mono WINE_GECKO_CACHE_DIR=/home/schenkel/.local/share/lutris/runners/wine/lutris-fshack-6.21-6-x86_64/gecko\r\nINFO 2022-04-12 00:55:28,120 [wine.create_prefix:147]:win64 Prefix created in /home/schenkel/Games/star-citizen\r\nDEBUG 2022-04-12 00:55:28,167 [interpreter._iter_commands:317]:Installer command: {'task': {'app': '--force arial vcrun2019 win10', 'arch': 'win64', 'name': 'winetricks', 'prefix': '$GAMEDIR'}}\r\nDEBUG 2022-04-12 00:55:28,196 [wine.use_lutris_runtime:115]:/home/schenkel/.local/share/lutris/runners/wine/lutris-fshack-6.21-6-x86_64/bin/wine is provided by Lutris, using runtime\r\nERROR 2022-04-12 00:55:28,627 [jobs.target:36]:Error while completing task <bound method CommandsMixin.task of <interpreter.ScriptInterpreter object at 0x7f3335f9e240 (lutris+installer+interpreter+ScriptInterpreter at 0x22d6e20)>>: <class 'AttributeError'> 'NoneType' object has no attribute 'lower'\r\n File \"/usr/lib64/python3.9/site-packages/lutris/util/jobs.py\", line 34, in target\r\n result = self.function(*args, **kwargs)\r\n File \"/usr/lib64/python3.9/site-packages/lutris/installer/commands.py\", line 436, in task\r\n command = task(**data)\r\n File \"/usr/lib64/python3.9/site-packages/lutris/runners/commands/wine.py\", line 346, in winetricks\r\n return wineexec(\r\n File \"/usr/lib64/python3.9/site-packages/lutris/runners/commands/wine.py\", line 299, in wineexec\r\n wine.prelaunch()\r\n File \"/usr/lib64/python3.9/site-packages/lutris/runners/wine.py\", line 799, in prelaunch\r\n self.setup_dlls(\r\n File \"/usr/lib64/python3.9/site-packages/lutris/runners/wine.py\", line 776, in setup_dlls\r\n if dll_manager.version.lower() != \"manual\":\r\nERROR 2022-04-12 00:55:28,628 [interpreter._iter_commands:302]:Last install command failed, show error\n```\n\n\n### System Information\n\n```shell\n[System]\r\nOS: Slackware 15.0 current\r\nArch: x86_64\r\nKernel: 5.17.2\r\nDesktop: KDE\r\nDisplay Server: x11\r\n\r\n[CPU]\r\nVendor: GenuineIntel\r\nModel: Intel(R) Core(TM) i7-5820K CPU @ 3.30GHz\r\nPhysical cores: 6\r\nLogical cores: 12\r\n\r\n[Memory]\r\nRAM: 31.3 GB\r\nSwap: 16.0 GB\r\n\r\n[Graphics]\r\nVendor: AMD\r\nOpenGL Renderer: AMD Radeon RX 6800 XT (SIENNA_CICHLID, DRM 3.44.0, 5.17.2, LLVM 13.0.1)\r\nOpenGL Version: 4.6 (Compatibility Profile) Mesa 21.3.8\r\nOpenGL Core: 4.6 (Core Profile) Mesa 21.3.8\r\nOpenGL ES: OpenGL ES 3.2 Mesa 21.3.8\r\nVulkan: Supported\n```\n\n\n### Media (optional)\n\n_No response_\n\n### Checklist:\n\n- [X] I'm not asking for support with a game or the wine runner.\n- [X] I have followed the above mentioned guides and have all the graphics and wine dependencies installed.\n- [X] I have checked for existing issues that describe my problem prior to opening this one.\n- [X] I understand that improperly formatted bug reports may be closed without explanation.\n"},"before_files":{"kind":"list like","value":[{"content":"\"\"\"Wine runner\"\"\"\n# pylint: disable=too-many-lines\nimport os\nimport shlex\nfrom gettext import gettext as _\n\nfrom lutris import runtime, settings\nfrom lutris.gui.dialogs import FileDialog\nfrom lutris.runners.commands.wine import ( # noqa: F401 pylint: disable=unused-import\n create_prefix, delete_registry_key, eject_disc, install_cab_component, open_wine_terminal, set_regedit,\n set_regedit_file, winecfg, wineexec, winekill, winetricks\n)\nfrom lutris.runners.runner import Runner\nfrom lutris.util import system\nfrom lutris.util.display import DISPLAY_MANAGER, get_default_dpi\nfrom lutris.util.graphics.vkquery import is_vulkan_supported\nfrom lutris.util.jobs import thread_safe_call\nfrom lutris.util.log import logger\nfrom lutris.util.strings import parse_version, split_arguments\nfrom lutris.util.wine.d3d_extras import D3DExtrasManager\nfrom lutris.util.wine.dgvoodoo2 import dgvoodoo2Manager\nfrom lutris.util.wine.dxvk import DXVKManager\nfrom lutris.util.wine.dxvk_nvapi import DXVKNVAPIManager\nfrom lutris.util.wine.prefix import DEFAULT_DLL_OVERRIDES, WinePrefixManager, find_prefix\nfrom lutris.util.wine.vkd3d import VKD3DManager\nfrom lutris.util.wine.wine import (\n POL_PATH, WINE_DIR, WINE_PATHS, detect_arch, display_vulkan_error, esync_display_limit_warning,\n esync_display_version_warning, fsync_display_support_warning, fsync_display_version_warning, get_default_version,\n get_overrides_env, get_proton_paths, get_real_executable, get_wine_version, get_wine_versions, is_esync_limit_set,\n is_fsync_supported, is_gstreamer_build, is_version_esync, is_version_fsync\n)\n\nDEFAULT_WINE_PREFIX = \"~/.wine\"\nMIN_SAFE_VERSION = \"7.0\" # Wine installers must run with at least this version\n\n\nclass wine(Runner):\n description = _(\"Runs Windows games\")\n human_name = _(\"Wine\")\n platforms = [_(\"Windows\")]\n multiple_versions = True\n entry_point_option = \"exe\"\n\n game_options = [\n {\n \"option\": \"exe\",\n \"type\": \"file\",\n \"label\": _(\"Executable\"),\n \"help\": _(\"The game's main EXE file\"),\n },\n {\n \"option\": \"args\",\n \"type\": \"string\",\n \"label\": _(\"Arguments\"),\n \"help\": _(\"Windows command line arguments used when launching the game\"),\n \"validator\": shlex.split\n },\n {\n \"option\": \"working_dir\",\n \"type\": \"directory_chooser\",\n \"label\": _(\"Working directory\"),\n \"help\": _(\n \"The location where the game is run from.\\n\"\n \"By default, Lutris uses the directory of the \"\n \"executable.\"\n ),\n },\n {\n \"option\": \"prefix\",\n \"type\": \"directory_chooser\",\n \"label\": _(\"Wine prefix\"),\n \"help\": _(\n 'The prefix used by Wine.\\n'\n \"It's a directory containing a set of files and \"\n \"folders making up a confined Windows environment.\"\n ),\n },\n {\n \"option\": \"arch\",\n \"type\": \"choice\",\n \"label\": _(\"Prefix architecture\"),\n \"choices\": [(_(\"Auto\"), \"auto\"), (_(\"32-bit\"), \"win32\"), (_(\"64-bit\"), \"win64\")],\n \"default\": \"auto\",\n \"help\": _(\"The architecture of the Windows environment\"),\n },\n ]\n\n reg_prefix = \"HKEY_CURRENT_USER/Software/Wine\"\n reg_keys = {\n \"Audio\": r\"%s/Drivers\" % reg_prefix,\n \"MouseWarpOverride\": r\"%s/DirectInput\" % reg_prefix,\n \"Desktop\": \"MANAGED\",\n \"WineDesktop\": \"MANAGED\",\n \"ShowCrashDialog\": \"MANAGED\"\n }\n\n core_processes = (\n \"services.exe\",\n \"winedevice.exe\",\n \"plugplay.exe\",\n \"explorer.exe\",\n \"rpcss.exe\",\n \"rundll32.exe\",\n \"wineboot.exe\",\n )\n\n def __init__(self, config=None): # noqa: C901\n super().__init__(config)\n self.dll_overrides = DEFAULT_DLL_OVERRIDES.copy() # we'll modify this, so we better copy it\n\n def get_wine_version_choices():\n version_choices = [(_(\"Custom (select executable below)\"), \"custom\")]\n labels = {\n \"winehq-devel\": _(\"WineHQ Devel ({})\"),\n \"winehq-staging\": _(\"WineHQ Staging ({})\"),\n \"wine-development\": _(\"Wine Development ({})\"),\n \"system\": _(\"System ({})\"),\n }\n versions = get_wine_versions()\n for version in versions:\n if version in labels:\n version_number = get_wine_version(WINE_PATHS[version])\n label = labels[version].format(version_number)\n else:\n label = version\n version_choices.append((label, version))\n return version_choices\n\n def esync_limit_callback(widget, option, config):\n limits_set = is_esync_limit_set()\n wine_path = self.get_path_for_version(config[\"version\"])\n wine_ver = is_version_esync(wine_path)\n response = True\n\n if not wine_ver:\n response = thread_safe_call(esync_display_version_warning)\n\n if not limits_set:\n thread_safe_call(esync_display_limit_warning)\n response = False\n\n return widget, option, response\n\n def fsync_support_callback(widget, option, config):\n fsync_supported = is_fsync_supported()\n wine_path = self.get_path_for_version(config[\"version\"])\n wine_ver = is_version_fsync(wine_path)\n response = True\n\n if not wine_ver:\n response = thread_safe_call(fsync_display_version_warning)\n\n if not fsync_supported:\n thread_safe_call(fsync_display_support_warning)\n response = False\n\n return widget, option, response\n\n def dxvk_vulkan_callback(widget, option, config):\n response = True\n if not is_vulkan_supported():\n if not thread_safe_call(display_vulkan_error):\n response = False\n return widget, option, response\n\n self.runner_options = [\n {\n \"option\": \"version\",\n \"label\": _(\"Wine version\"),\n \"type\": \"choice\",\n \"choices\": get_wine_version_choices,\n \"default\": get_default_version(),\n \"help\": _(\n \"The version of Wine used to launch the game.\\n\"\n \"Using the last version is generally recommended, \"\n \"but some games work better on older versions.\"\n ),\n },\n {\n \"option\": \"custom_wine_path\",\n \"label\": _(\"Custom Wine executable\"),\n \"type\": \"file\",\n \"advanced\": True,\n \"help\": _(\"The Wine executable to be used if you have \"\n 'selected \"Custom\" as the Wine version.'),\n },\n {\n \"option\": \"system_winetricks\",\n \"label\": _(\"Use system winetricks\"),\n \"type\": \"bool\",\n \"default\": False,\n \"advanced\": True,\n \"help\": _(\"Switch on to use /usr/bin/winetricks for winetricks.\"),\n },\n {\n \"option\": \"dxvk\",\n \"label\": _(\"Enable DXVK\"),\n \"type\": \"extended_bool\",\n \"callback\": dxvk_vulkan_callback,\n \"callback_on\": True,\n \"default\": True,\n \"active\": True,\n \"help\": _(\n \"Use DXVK to \"\n \"increase compatibility and performance in Direct3D 11, 10 \"\n \"and 9 applications by translating their calls to Vulkan.\"),\n },\n {\n \"option\": \"dxvk_version\",\n \"label\": _(\"DXVK version\"),\n \"advanced\": True,\n \"type\": \"choice_with_entry\",\n \"choices\": DXVKManager().version_choices,\n \"default\": DXVKManager().version,\n },\n\n {\n \"option\": \"vkd3d\",\n \"label\": _(\"Enable VKD3D\"),\n \"type\": \"extended_bool\",\n \"callback\": dxvk_vulkan_callback,\n \"callback_on\": True,\n \"default\": True,\n \"active\": True,\n \"help\": _(\n \"Use VKD3D to enable support for Direct3D 12 \"\n \"applications by translating their calls to Vulkan.\"),\n },\n {\n \"option\": \"vkd3d_version\",\n \"label\": _(\"VKD3D version\"),\n \"advanced\": True,\n \"type\": \"choice_with_entry\",\n \"choices\": VKD3DManager().version_choices,\n \"default\": VKD3DManager().version,\n },\n {\n \"option\": \"d3d_extras\",\n \"label\": _(\"Enable D3D Extras\"),\n \"type\": \"bool\",\n \"default\": True,\n \"advanced\": True,\n \"help\": _(\n \"Replace Wine's D3DX and D3DCOMPILER libraries with alternative ones. \"\n \"Needed for proper functionality of DXVK with some games.\"\n ),\n },\n {\n \"option\": \"d3d_extras_version\",\n \"label\": _(\"D3D Extras version\"),\n \"advanced\": True,\n \"type\": \"choice_with_entry\",\n \"choices\": D3DExtrasManager().version_choices,\n \"default\": D3DExtrasManager().version,\n },\n {\n \"option\": \"dxvk_nvapi\",\n \"label\": _(\"Enable DXVK-NVAPI / DLSS\"),\n \"type\": \"bool\",\n \"default\": True,\n \"advanced\": True,\n \"help\": _(\n \"Enable emulation of Nvidia's NVAPI and add DLSS support, if available.\"\n ),\n },\n {\n \"option\": \"dxvk_nvapi_version\",\n \"label\": _(\"DXVK NVAPI version\"),\n \"advanced\": True,\n \"type\": \"choice_with_entry\",\n \"choices\": DXVKNVAPIManager().version_choices,\n \"default\": DXVKNVAPIManager().version,\n },\n {\n \"option\": \"dgvoodoo2\",\n \"label\": _(\"Enable dgvoodoo2\"),\n \"type\": \"bool\",\n \"default\": False,\n \"advanced\": False,\n \"help\": _(\n \"dgvoodoo2 is an alternative translation layer for rendering old games \"\n \"that utilize D3D1-7 and Glide APIs. As it translates to D3D11, it's \"\n \"recommended to use it in combination with DXVK. Only 32-bit apps are supported.\"\n ),\n },\n {\n \"option\": \"dgvoodoo2_version\",\n \"label\": _(\"dgvoodoo2 version\"),\n \"advanced\": True,\n \"type\": \"choice_with_entry\",\n \"choices\": dgvoodoo2Manager().version_choices,\n \"default\": dgvoodoo2Manager().version,\n },\n {\n \"option\": \"esync\",\n \"label\": _(\"Enable Esync\"),\n \"type\": \"extended_bool\",\n \"callback\": esync_limit_callback,\n \"callback_on\": True,\n \"active\": True,\n \"default\": True,\n \"help\": _(\n \"Enable eventfd-based synchronization (esync). \"\n \"This will increase performance in applications \"\n \"that take advantage of multi-core processors.\"\n ),\n },\n {\n \"option\": \"fsync\",\n \"label\": _(\"Enable Fsync\"),\n \"type\": \"extended_bool\",\n \"default\": is_fsync_supported(),\n \"callback\": fsync_support_callback,\n \"callback_on\": True,\n \"active\": True,\n \"help\": _(\n \"Enable futex-based synchronization (fsync). \"\n \"This will increase performance in applications \"\n \"that take advantage of multi-core processors. \"\n \"Requires a custom kernel with the fsync patchset.\"\n ),\n },\n {\n \"option\": \"fsr\",\n \"label\": _(\"Enable AMD FidelityFX Super Resolution (FSR)\"),\n \"type\": \"bool\",\n \"default\": True,\n \"help\": _(\n \"Use FSR to upscale the game window to native resolution.\\n\"\n \"Requires Lutris Wine FShack >= 6.13 and setting the game to a lower resolution.\\n\"\n \"Does not work with games running in borderless window mode or that perform their own upscaling.\"\n ),\n },\n {\n \"option\": \"battleye\",\n \"label\": _(\"Enable BattlEye Anti-Cheat\"),\n \"type\": \"bool\",\n \"default\": True,\n \"help\": _(\n \"Enable support for BattlEye Anti-Cheat in supported games\\n\"\n \"Requires Lutris Wine 6.21-2 and newer or any other compatible Wine build.\\n\"\n ),\n },\n {\n \"option\": \"eac\",\n \"label\": _(\"Enable Easy Anti-Cheat\"),\n \"type\": \"bool\",\n \"default\": True,\n \"help\": _(\n \"Enable support for Easy Anti-Cheat in supported games\\n\"\n \"Requires Lutris Wine 7.2 and newer or any other compatible Wine build.\\n\"\n ),\n },\n {\n \"option\": \"Desktop\",\n \"label\": _(\"Windowed (virtual desktop)\"),\n \"type\": \"bool\",\n \"default\": False,\n \"help\": _(\n \"Run the whole Windows desktop in a window.\\n\"\n \"Otherwise, run it fullscreen.\\n\"\n \"This corresponds to Wine's Virtual Desktop option.\"\n ),\n },\n {\n \"option\": \"WineDesktop\",\n \"label\": _(\"Virtual desktop resolution\"),\n \"type\": \"choice_with_entry\",\n \"choices\": DISPLAY_MANAGER.get_resolutions,\n \"help\": _(\"The size of the virtual desktop in pixels.\"),\n },\n {\n \"option\": \"Dpi\",\n \"label\": _(\"Enable DPI Scaling\"),\n \"type\": \"bool\",\n \"default\": False,\n \"help\": _(\n \"Enables the Windows application's DPI scaling.\\n\"\n \"Otherwise, disables DPI scaling by using 96 DPI.\\n\"\n \"This corresponds to Wine's Screen Resolution option.\"\n ),\n },\n {\n \"option\": \"ExplicitDpi\",\n \"label\": _(\"DPI\"),\n \"type\": \"string\",\n \"help\": _(\n \"The DPI to be used if 'Enable DPI Scaling' is turned on.\\n\"\n \"If blank or 'auto', Lutris will auto-detect this.\"\n ),\n },\n {\n \"option\": \"MouseWarpOverride\",\n \"label\": _(\"Mouse Warp Override\"),\n \"type\": \"choice\",\n \"choices\": [\n (_(\"Enable\"), \"enable\"),\n (_(\"Disable\"), \"disable\"),\n (_(\"Force\"), \"force\"),\n ],\n \"default\": \"enable\",\n \"advanced\": True,\n \"help\": _(\n \"Override the default mouse pointer warping behavior\\n\"\n \"<b>Enable</b>: (Wine default) warp the pointer when the \"\n \"mouse is exclusively acquired \\n\"\n \"<b>Disable</b>: never warp the mouse pointer \\n\"\n \"<b>Force</b>: always warp the pointer\"\n ),\n },\n {\n \"option\": \"Audio\",\n \"label\": _(\"Audio driver\"),\n \"type\": \"choice\",\n \"advanced\": True,\n \"choices\": [\n (_(\"Auto\"), \"auto\"),\n (\"ALSA\", \"alsa\"),\n (\"PulseAudio\", \"pulse\"),\n (\"OSS\", \"oss\"),\n ],\n \"default\": \"auto\",\n \"help\": _(\n \"Which audio backend to use.\\n\"\n \"By default, Wine automatically picks the right one \"\n \"for your system.\"\n ),\n },\n {\n \"option\": \"overrides\",\n \"type\": \"mapping\",\n \"label\": _(\"DLL overrides\"),\n \"help\": _(\"Sets WINEDLLOVERRIDES when launching the game.\"),\n },\n {\n \"option\": \"show_debug\",\n \"label\": _(\"Output debugging info\"),\n \"type\": \"choice\",\n \"choices\": [\n (_(\"Disabled\"), \"-all\"),\n (_(\"Enabled\"), \"\"),\n (_(\"Inherit from environment\"), \"inherit\"),\n (_(\"Show FPS\"), \"+fps\"),\n (_(\"Full (CAUTION: Will cause MASSIVE slowdown)\"), \"+all\"),\n ],\n \"default\": \"-all\",\n \"help\": _(\"Output debugging information in the game log \"\n \"(might affect performance)\"),\n },\n {\n \"option\": \"ShowCrashDialog\",\n \"label\": _(\"Show crash dialogs\"),\n \"type\": \"bool\",\n \"default\": False,\n \"advanced\": True,\n },\n {\n \"option\": \"autoconf_joypad\",\n \"type\": \"bool\",\n \"label\": _(\"Autoconfigure joypads\"),\n \"advanced\": True,\n \"default\": False,\n \"help\":\n _(\"Automatically disables one of Wine's detected joypad \"\n \"to avoid having 2 controllers detected\"),\n },\n {\n \"option\": \"sandbox\",\n \"type\": \"bool\",\n \"label\": _(\"Create a sandbox for Wine folders\"),\n \"default\": True,\n \"advanced\": True,\n \"help\": _(\n \"Do not use $HOME for desktop integration folders.\\n\"\n \"By default, it use the directories in the confined \"\n \"Windows environment.\"\n ),\n },\n {\n \"option\": \"sandbox_dir\",\n \"type\": \"directory_chooser\",\n \"label\": _(\"Sandbox directory\"),\n \"help\": _(\"Custom directory for desktop integration folders.\"),\n \"advanced\": True,\n },\n ]\n\n @property\n def context_menu_entries(self):\n \"\"\"Return the contexual menu entries for wine\"\"\"\n menu_entries = [(\"wineexec\", _(\"Run EXE inside Wine prefix\"), self.run_wineexec)]\n if \"Proton\" not in self.get_version():\n menu_entries.append((\"winecfg\", _(\"Wine configuration\"), self.run_winecfg))\n menu_entries += [\n (\"wineshell\", _(\"Open Bash terminal\"), self.run_wine_terminal),\n (\"wineconsole\", _(\"Open Wine console\"), self.run_wineconsole),\n (\"wine-regedit\", _(\"Wine registry\"), self.run_regedit),\n (\"winetricks\", _(\"Winetricks\"), self.run_winetricks),\n (\"winecpl\", _(\"Wine Control Panel\"), self.run_winecpl),\n ]\n return menu_entries\n\n @property\n def prefix_path(self):\n \"\"\"Return the absolute path of the Wine prefix\"\"\"\n _prefix_path = self.game_config.get(\"prefix\") \\\n or os.environ.get(\"WINEPREFIX\")\n if not _prefix_path and self.game_config.get(\"exe\"):\n # Find prefix from game if we have one\n _prefix_path = find_prefix(self.game_exe)\n if not _prefix_path:\n _prefix_path = DEFAULT_WINE_PREFIX\n return os.path.expanduser(_prefix_path)\n\n @property\n def game_exe(self):\n \"\"\"Return the game's executable's path, which may not exist. None\n if there is no exe path defined.\"\"\"\n exe = self.game_config.get(\"exe\")\n if not exe:\n logger.error(\"The game doesn't have an executable\")\n return None\n if os.path.isabs(exe):\n return system.fix_path_case(exe)\n if not self.game_path:\n logger.warning(\"The game has an executable, but not a game path\")\n return None\n return system.fix_path_case(os.path.join(self.game_path, exe))\n\n @property\n def working_dir(self):\n \"\"\"Return the working directory to use when running the game.\"\"\"\n option = self.game_config.get(\"working_dir\")\n if option:\n return option\n if self.game_exe:\n game_dir = os.path.dirname(self.game_exe)\n if os.path.isdir(game_dir):\n return game_dir\n return super().working_dir\n\n @property\n def nvidia_shader_cache_path(self):\n \"\"\"WINE should give each game its own shader cache if possible.\"\"\"\n return self.game_path or self.shader_cache_dir\n\n @property\n def wine_arch(self):\n \"\"\"Return the wine architecture.\n\n Get it from the config or detect it from the prefix\"\"\"\n arch = self.game_config.get(\"arch\") or \"auto\"\n if arch not in (\"win32\", \"win64\"):\n arch = detect_arch(self.prefix_path, self.get_executable())\n return arch\n\n def get_version(self, use_default=True):\n \"\"\"Return the Wine version to use. use_default can be set to false to\n force the installation of a specific wine version\"\"\"\n runner_version = self.runner_config.get(\"version\")\n if runner_version:\n return runner_version\n if use_default:\n return get_default_version()\n\n def get_path_for_version(self, version):\n \"\"\"Return the absolute path of a wine executable for a given version\"\"\"\n if version in WINE_PATHS:\n return system.find_executable(WINE_PATHS[version])\n if \"Proton\" in version:\n for proton_path in get_proton_paths():\n if os.path.isfile(os.path.join(proton_path, version, \"dist/bin/wine\")):\n return os.path.join(proton_path, version, \"dist/bin/wine\")\n if version.startswith(\"PlayOnLinux\"):\n version, arch = version.split()[1].rsplit(\"-\", 1)\n return os.path.join(POL_PATH, \"wine\", \"linux-\" + arch, version, \"bin/wine\")\n if version == \"custom\":\n return self.runner_config.get(\"custom_wine_path\", \"\")\n return os.path.join(WINE_DIR, version, \"bin/wine\")\n\n def get_executable(self, version=None, fallback=True):\n \"\"\"Return the path to the Wine executable.\n A specific version can be specified if needed.\n \"\"\"\n if version is None:\n version = self.get_version()\n if not version:\n return\n\n wine_path = self.get_path_for_version(version)\n if system.path_exists(wine_path):\n return wine_path\n\n if fallback:\n # Fallback to default version\n default_version = get_default_version()\n wine_path = self.get_path_for_version(default_version)\n if wine_path:\n # Update the version in the config\n if version == self.runner_config.get(\"version\"):\n self.runner_config[\"version\"] = default_version\n # TODO: runner_config is a dict so we have to instanciate a\n # LutrisConfig object to save it.\n # XXX: The version key could be either in the game specific\n # config or the runner specific config. We need to know\n # which one to get the correct LutrisConfig object.\n return wine_path\n\n def is_installed(self, version=None, fallback=True, min_version=None):\n \"\"\"Check if Wine is installed.\n If no version is passed, checks if any version of wine is available\n \"\"\"\n if version:\n return system.path_exists(self.get_executable(version, fallback))\n\n wine_versions = get_wine_versions()\n if min_version:\n min_version_list, _, _ = parse_version(min_version)\n for wine_version in wine_versions:\n version_list, _, _ = parse_version(wine_version)\n if version_list > min_version_list:\n return True\n logger.warning(\"Wine %s or higher not found\", min_version)\n return bool(wine_versions)\n\n @classmethod\n def msi_exec(\n cls,\n msi_file,\n quiet=False,\n prefix=None,\n wine_path=None,\n working_dir=None,\n blocking=False,\n ):\n msi_args = \"/i %s\" % msi_file\n if quiet:\n msi_args += \" /q\"\n return wineexec(\n \"msiexec\",\n args=msi_args,\n prefix=prefix,\n wine_path=wine_path,\n working_dir=working_dir,\n blocking=blocking,\n )\n\n def _run_executable(self, executable):\n \"\"\"Runs a Windows executable using this game's configuration\"\"\"\n wineexec(\n executable,\n wine_path=self.get_executable(),\n prefix=self.prefix_path,\n working_dir=self.prefix_path,\n config=self,\n env=self.get_env(os_env=True),\n )\n\n def run_wineexec(self, *args):\n \"\"\"Ask the user for an arbitrary exe file to run in the game's prefix\"\"\"\n dlg = FileDialog(_(\"Select an EXE or MSI file\"), default_path=self.game_path)\n filename = dlg.filename\n if not filename:\n return\n self.prelaunch()\n self._run_executable(filename)\n\n def run_wineconsole(self, *args):\n \"\"\"Runs wineconsole inside wine prefix.\"\"\"\n self.prelaunch()\n self._run_executable(\"wineconsole\")\n\n def run_winecfg(self, *args):\n \"\"\"Run winecfg in the current context\"\"\"\n self.prelaunch()\n winecfg(\n wine_path=self.get_executable(),\n prefix=self.prefix_path,\n arch=self.wine_arch,\n config=self,\n env=self.get_env(os_env=True),\n )\n\n def run_regedit(self, *args):\n \"\"\"Run regedit in the current context\"\"\"\n self.prelaunch()\n self._run_executable(\"regedit\")\n\n def run_wine_terminal(self, *args):\n terminal = self.system_config.get(\"terminal_app\")\n open_wine_terminal(\n terminal=terminal,\n wine_path=self.get_executable(),\n prefix=self.prefix_path,\n env=self.get_env(os_env=True)\n )\n\n def run_winetricks(self, *args):\n \"\"\"Run winetricks in the current context\"\"\"\n self.prelaunch()\n winetricks(\n \"\", prefix=self.prefix_path, wine_path=self.get_executable(), config=self, env=self.get_env(os_env=True)\n )\n\n def run_winecpl(self, *args):\n \"\"\"Execute Wine control panel.\"\"\"\n self.prelaunch()\n self._run_executable(\"control\")\n\n def run_winekill(self, *args):\n \"\"\"Runs wineserver -k.\"\"\"\n winekill(\n self.prefix_path,\n arch=self.wine_arch,\n wine_path=self.get_executable(),\n env=self.get_env(),\n initial_pids=self.get_pids(),\n )\n return True\n\n def set_regedit_keys(self):\n \"\"\"Reset regedit keys according to config.\"\"\"\n prefix_manager = WinePrefixManager(self.prefix_path)\n # Those options are directly changed with the prefix manager and skip\n # any calls to regedit.\n managed_keys = {\n \"ShowCrashDialog\": prefix_manager.set_crash_dialogs,\n \"Desktop\": prefix_manager.set_virtual_desktop,\n \"WineDesktop\": prefix_manager.set_desktop_size,\n }\n\n for key, path in self.reg_keys.items():\n value = self.runner_config.get(key) or \"auto\"\n if not value or value == \"auto\" and key not in managed_keys:\n prefix_manager.clear_registry_subkeys(path, key)\n elif key in self.runner_config:\n if key in managed_keys:\n # Do not pass fallback 'auto' value to managed keys\n if value == \"auto\":\n value = None\n managed_keys[key](value)\n continue\n # Convert numeric strings to integers so they are saved as dword\n if value.isdigit():\n value = int(value)\n\n prefix_manager.set_registry_key(path, key, value)\n\n # We always configure the DPI, because if the user turns off DPI scaling, but it\n # had been on the only way to implement that is to save 96 DPI into the registry.\n prefix_manager.set_dpi(self.get_dpi())\n\n def get_dpi(self):\n \"\"\"Return the DPI to be used by Wine; returns 96 to disable scaling,\n as this is Window's unscaled default DPI.\"\"\"\n if bool(self.runner_config.get(\"Dpi\")):\n explicit_dpi = self.runner_config.get(\"ExplicitDpi\")\n if explicit_dpi == \"auto\":\n explicit_dpi = None\n try:\n explicit_dpi = int(explicit_dpi)\n except ValueError:\n explicit_dpi = None\n return explicit_dpi or get_default_dpi()\n\n return 96\n\n def setup_dlls(self, manager_class, enable, version):\n \"\"\"Enable or disable DLLs\"\"\"\n dll_manager = manager_class(\n self.prefix_path,\n arch=self.wine_arch,\n version=version,\n )\n # manual version only sets the dlls to native\n if dll_manager.version.lower() != \"manual\":\n if enable:\n dll_manager.enable()\n else:\n dll_manager.disable()\n\n if enable:\n for dll in dll_manager.managed_dlls:\n # We have to make sure that the dll exists before setting it to native\n if dll_manager.dll_exists(dll):\n self.dll_overrides[dll] = \"n\"\n\n def prelaunch(self):\n if not system.path_exists(os.path.join(self.prefix_path, \"user.reg\")):\n logger.warning(\"No valid prefix detected in %s, creating one...\", self.prefix_path)\n create_prefix(self.prefix_path, wine_path=self.get_executable(), arch=self.wine_arch)\n\n prefix_manager = WinePrefixManager(self.prefix_path)\n if self.runner_config.get(\"autoconf_joypad\", False):\n prefix_manager.configure_joypads()\n self.sandbox(prefix_manager)\n self.set_regedit_keys()\n\n self.setup_dlls(\n DXVKManager,\n bool(self.runner_config.get(\"dxvk\")),\n self.runner_config.get(\"dxvk_version\")\n )\n self.setup_dlls(\n VKD3DManager,\n bool(self.runner_config.get(\"vkd3d\")),\n self.runner_config.get(\"vkd3d_version\")\n )\n self.setup_dlls(\n DXVKNVAPIManager,\n bool(self.runner_config.get(\"dxvk_nvapi\")),\n self.runner_config.get(\"dxvk_nvapi_version\")\n )\n self.setup_dlls(\n D3DExtrasManager,\n bool(self.runner_config.get(\"d3d_extras\")),\n self.runner_config.get(\"d3d_extras_version\")\n )\n self.setup_dlls(\n dgvoodoo2Manager,\n bool(self.runner_config.get(\"dgvoodoo2\")),\n self.runner_config.get(\"dgvoodoo2_version\")\n )\n return True\n\n def get_dll_overrides(self):\n \"\"\"Return the DLLs overriden at runtime\"\"\"\n try:\n overrides = self.runner_config[\"overrides\"]\n except KeyError:\n overrides = {}\n if not isinstance(overrides, dict):\n logger.warning(\"DLL overrides is not a mapping: %s\", overrides)\n overrides = {}\n return overrides\n\n def get_env(self, os_env=False):\n \"\"\"Return environment variables used by the game\"\"\"\n # Always false to runner.get_env, the default value\n # of os_env is inverted in the wine class,\n # the OS env is read later.\n env = super().get_env(False)\n if os_env:\n env.update(os.environ.copy())\n show_debug = self.runner_config.get(\"show_debug\", \"-all\")\n if show_debug != \"inherit\":\n env[\"WINEDEBUG\"] = show_debug\n if show_debug == \"-all\":\n env[\"DXVK_LOG_LEVEL\"] = \"none\"\n env[\"WINEARCH\"] = self.wine_arch\n env[\"WINE\"] = self.get_executable()\n env[\"WINE_MONO_CACHE_DIR\"] = os.path.join(WINE_DIR, self.get_version(), \"mono\")\n env[\"WINE_GECKO_CACHE_DIR\"] = os.path.join(WINE_DIR, self.get_version(), \"gecko\")\n if is_gstreamer_build(self.get_executable()):\n path_64 = os.path.join(WINE_DIR, self.get_version(), \"lib64/gstreamer-1.0/\")\n path_32 = os.path.join(WINE_DIR, self.get_version(), \"lib/gstreamer-1.0/\")\n if os.path.exists(path_64) or os.path.exists(path_32):\n env[\"GST_PLUGIN_SYSTEM_PATH_1_0\"] = path_64 + \":\" + path_32\n if self.prefix_path:\n env[\"WINEPREFIX\"] = self.prefix_path\n\n if not (\"WINEESYNC\" in env and env[\"WINEESYNC\"] == \"1\"):\n env[\"WINEESYNC\"] = \"1\" if self.runner_config.get(\"esync\") else \"0\"\n\n if not (\"WINEFSYNC\" in env and env[\"WINEFSYNC\"] == \"1\"):\n env[\"WINEFSYNC\"] = \"1\" if self.runner_config.get(\"fsync\") else \"0\"\n\n if self.runner_config.get(\"fsr\"):\n env[\"WINE_FULLSCREEN_FSR\"] = \"1\"\n\n if self.runner_config.get(\"dxvk_nvapi\"):\n env[\"DXVK_NVAPIHACK\"] = \"0\"\n env[\"DXVK_ENABLE_NVAPI\"] = \"1\"\n\n if self.runner_config.get(\"battleye\"):\n env[\"PROTON_BATTLEYE_RUNTIME\"] = os.path.join(settings.RUNTIME_DIR, \"battleye_runtime\")\n\n if self.runner_config.get(\"eac\"):\n env[\"PROTON_EAC_RUNTIME\"] = os.path.join(settings.RUNTIME_DIR, \"eac_runtime\")\n\n overrides = self.get_dll_overrides()\n if overrides:\n self.dll_overrides.update(overrides)\n env[\"WINEDLLOVERRIDES\"] = get_overrides_env(self.dll_overrides)\n return env\n\n def get_runtime_env(self):\n \"\"\"Return runtime environment variables with path to wine for Lutris builds\"\"\"\n wine_path = self.get_executable()\n wine_root = None\n if WINE_DIR:\n wine_root = os.path.dirname(os.path.dirname(wine_path))\n for proton_path in get_proton_paths():\n if proton_path in wine_path:\n wine_root = os.path.dirname(os.path.dirname(wine_path))\n return runtime.get_env(\n version=\"Ubuntu-18.04\",\n prefer_system_libs=self.system_config.get(\"prefer_system_libs\", True),\n wine_path=wine_root,\n )\n\n def get_pids(self, wine_path=None):\n \"\"\"Return a list of pids of processes using the current wine exe.\"\"\"\n if wine_path:\n exe = wine_path\n else:\n exe = self.get_executable()\n if not exe.startswith(\"/\"):\n exe = system.find_executable(exe)\n pids = system.get_pids_using_file(exe)\n if self.wine_arch == \"win64\" and os.path.basename(exe) == \"wine\":\n pids = pids | system.get_pids_using_file(exe + \"64\")\n\n # Add wineserver PIDs to the mix (at least one occurence of fuser not\n # picking the games's PID from wine/wine64 but from wineserver for some\n # unknown reason.\n pids = pids | system.get_pids_using_file(os.path.join(os.path.dirname(exe), \"wineserver\"))\n return pids\n\n def sandbox(self, wine_prefix):\n if self.runner_config.get(\"sandbox\", True):\n wine_prefix.desktop_integration(desktop_dir=self.runner_config.get(\"sandbox_dir\"))\n else:\n wine_prefix.desktop_integration(restore=True)\n\n def play(self): # pylint: disable=too-many-return-statements # noqa: C901\n game_exe = self.game_exe\n arguments = self.game_config.get(\"args\", \"\")\n launch_info = {\"env\": self.get_env(os_env=False)}\n using_dxvk = self.runner_config.get(\"dxvk\")\n\n if using_dxvk:\n # Set this to 1 to enable access to more RAM for 32bit applications\n launch_info[\"env\"][\"WINE_LARGE_ADDRESS_AWARE\"] = \"1\"\n if not is_vulkan_supported():\n if not display_vulkan_error(True):\n return {\"error\": \"VULKAN_NOT_FOUND\"}\n\n if not game_exe or not system.path_exists(game_exe):\n return {\"error\": \"FILE_NOT_FOUND\", \"file\": game_exe}\n\n if launch_info[\"env\"].get(\"WINEESYNC\") == \"1\":\n limit_set = is_esync_limit_set()\n wine_ver = is_version_esync(self.get_executable())\n\n if not limit_set and not wine_ver:\n esync_display_version_warning(True)\n esync_display_limit_warning()\n return {\"error\": \"ESYNC_LIMIT_NOT_SET\"}\n if not is_esync_limit_set():\n esync_display_limit_warning()\n return {\"error\": \"ESYNC_LIMIT_NOT_SET\"}\n if not wine_ver:\n if not esync_display_version_warning(True):\n return {\"error\": \"NON_ESYNC_WINE_VERSION\"}\n\n if launch_info[\"env\"].get(\"WINEFSYNC\") == \"1\":\n fsync_supported = is_fsync_supported()\n wine_ver = is_version_fsync(self.get_executable())\n\n if not fsync_supported and not wine_ver:\n fsync_display_version_warning(True)\n fsync_display_support_warning()\n return {\"error\": \"FSYNC_NOT_SUPPORTED\"}\n if not fsync_supported:\n fsync_display_support_warning()\n return {\"error\": \"FSYNC_NOT_SUPPORTED\"}\n if not wine_ver:\n if not fsync_display_version_warning(True):\n return {\"error\": \"NON_FSYNC_WINE_VERSION\"}\n\n command = [self.get_executable()]\n\n game_exe, args, _working_dir = get_real_executable(game_exe, self.working_dir)\n command.append(game_exe)\n if args:\n command = command + args\n\n if arguments:\n for arg in split_arguments(arguments):\n command.append(arg)\n launch_info[\"command\"] = command\n return launch_info\n\n def force_stop_game(self, game):\n \"\"\"Kill WINE with kindness, or at least with -k. This seems to leave a process\n alive for some reason, but the caller will detect this and SIGKILL it.\"\"\"\n self.run_winekill()\n\n @staticmethod\n def parse_wine_path(path, prefix_path=None):\n \"\"\"Take a Windows path, return the corresponding Linux path.\"\"\"\n if not prefix_path:\n prefix_path = os.path.expanduser(\"~/.wine\")\n\n path = path.replace(\"\\\\\\\\\", \"/\").replace(\"\\\\\", \"/\")\n\n if path[1] == \":\": # absolute path\n drive = os.path.join(prefix_path, \"dosdevices\", path[:2].lower())\n if os.path.islink(drive): # Try to resolve the path\n drive = os.readlink(drive)\n return os.path.join(drive, path[3:])\n\n if path[0] == \"/\": # drive-relative path. C is as good a guess as any..\n return os.path.join(prefix_path, \"drive_c\", path[1:])\n\n # Relative path\n return path\n","path":"lutris/runners/wine.py"}],"string":"[\n {\n \"content\": \"\\\"\\\"\\\"Wine runner\\\"\\\"\\\"\\n# pylint: disable=too-many-lines\\nimport os\\nimport shlex\\nfrom gettext import gettext as _\\n\\nfrom lutris import runtime, settings\\nfrom lutris.gui.dialogs import FileDialog\\nfrom lutris.runners.commands.wine import ( # noqa: F401 pylint: disable=unused-import\\n create_prefix, delete_registry_key, eject_disc, install_cab_component, open_wine_terminal, set_regedit,\\n set_regedit_file, winecfg, wineexec, winekill, winetricks\\n)\\nfrom lutris.runners.runner import Runner\\nfrom lutris.util import system\\nfrom lutris.util.display import DISPLAY_MANAGER, get_default_dpi\\nfrom lutris.util.graphics.vkquery import is_vulkan_supported\\nfrom lutris.util.jobs import thread_safe_call\\nfrom lutris.util.log import logger\\nfrom lutris.util.strings import parse_version, split_arguments\\nfrom lutris.util.wine.d3d_extras import D3DExtrasManager\\nfrom lutris.util.wine.dgvoodoo2 import dgvoodoo2Manager\\nfrom lutris.util.wine.dxvk import DXVKManager\\nfrom lutris.util.wine.dxvk_nvapi import DXVKNVAPIManager\\nfrom lutris.util.wine.prefix import DEFAULT_DLL_OVERRIDES, WinePrefixManager, find_prefix\\nfrom lutris.util.wine.vkd3d import VKD3DManager\\nfrom lutris.util.wine.wine import (\\n POL_PATH, WINE_DIR, WINE_PATHS, detect_arch, display_vulkan_error, esync_display_limit_warning,\\n esync_display_version_warning, fsync_display_support_warning, fsync_display_version_warning, get_default_version,\\n get_overrides_env, get_proton_paths, get_real_executable, get_wine_version, get_wine_versions, is_esync_limit_set,\\n is_fsync_supported, is_gstreamer_build, is_version_esync, is_version_fsync\\n)\\n\\nDEFAULT_WINE_PREFIX = \\\"~/.wine\\\"\\nMIN_SAFE_VERSION = \\\"7.0\\\" # Wine installers must run with at least this version\\n\\n\\nclass wine(Runner):\\n description = _(\\\"Runs Windows games\\\")\\n human_name = _(\\\"Wine\\\")\\n platforms = [_(\\\"Windows\\\")]\\n multiple_versions = True\\n entry_point_option = \\\"exe\\\"\\n\\n game_options = [\\n {\\n \\\"option\\\": \\\"exe\\\",\\n \\\"type\\\": \\\"file\\\",\\n \\\"label\\\": _(\\\"Executable\\\"),\\n \\\"help\\\": _(\\\"The game's main EXE file\\\"),\\n },\\n {\\n \\\"option\\\": \\\"args\\\",\\n \\\"type\\\": \\\"string\\\",\\n \\\"label\\\": _(\\\"Arguments\\\"),\\n \\\"help\\\": _(\\\"Windows command line arguments used when launching the game\\\"),\\n \\\"validator\\\": shlex.split\\n },\\n {\\n \\\"option\\\": \\\"working_dir\\\",\\n \\\"type\\\": \\\"directory_chooser\\\",\\n \\\"label\\\": _(\\\"Working directory\\\"),\\n \\\"help\\\": _(\\n \\\"The location where the game is run from.\\\\n\\\"\\n \\\"By default, Lutris uses the directory of the \\\"\\n \\\"executable.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"prefix\\\",\\n \\\"type\\\": \\\"directory_chooser\\\",\\n \\\"label\\\": _(\\\"Wine prefix\\\"),\\n \\\"help\\\": _(\\n 'The prefix used by Wine.\\\\n'\\n \\\"It's a directory containing a set of files and \\\"\\n \\\"folders making up a confined Windows environment.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"arch\\\",\\n \\\"type\\\": \\\"choice\\\",\\n \\\"label\\\": _(\\\"Prefix architecture\\\"),\\n \\\"choices\\\": [(_(\\\"Auto\\\"), \\\"auto\\\"), (_(\\\"32-bit\\\"), \\\"win32\\\"), (_(\\\"64-bit\\\"), \\\"win64\\\")],\\n \\\"default\\\": \\\"auto\\\",\\n \\\"help\\\": _(\\\"The architecture of the Windows environment\\\"),\\n },\\n ]\\n\\n reg_prefix = \\\"HKEY_CURRENT_USER/Software/Wine\\\"\\n reg_keys = {\\n \\\"Audio\\\": r\\\"%s/Drivers\\\" % reg_prefix,\\n \\\"MouseWarpOverride\\\": r\\\"%s/DirectInput\\\" % reg_prefix,\\n \\\"Desktop\\\": \\\"MANAGED\\\",\\n \\\"WineDesktop\\\": \\\"MANAGED\\\",\\n \\\"ShowCrashDialog\\\": \\\"MANAGED\\\"\\n }\\n\\n core_processes = (\\n \\\"services.exe\\\",\\n \\\"winedevice.exe\\\",\\n \\\"plugplay.exe\\\",\\n \\\"explorer.exe\\\",\\n \\\"rpcss.exe\\\",\\n \\\"rundll32.exe\\\",\\n \\\"wineboot.exe\\\",\\n )\\n\\n def __init__(self, config=None): # noqa: C901\\n super().__init__(config)\\n self.dll_overrides = DEFAULT_DLL_OVERRIDES.copy() # we'll modify this, so we better copy it\\n\\n def get_wine_version_choices():\\n version_choices = [(_(\\\"Custom (select executable below)\\\"), \\\"custom\\\")]\\n labels = {\\n \\\"winehq-devel\\\": _(\\\"WineHQ Devel ({})\\\"),\\n \\\"winehq-staging\\\": _(\\\"WineHQ Staging ({})\\\"),\\n \\\"wine-development\\\": _(\\\"Wine Development ({})\\\"),\\n \\\"system\\\": _(\\\"System ({})\\\"),\\n }\\n versions = get_wine_versions()\\n for version in versions:\\n if version in labels:\\n version_number = get_wine_version(WINE_PATHS[version])\\n label = labels[version].format(version_number)\\n else:\\n label = version\\n version_choices.append((label, version))\\n return version_choices\\n\\n def esync_limit_callback(widget, option, config):\\n limits_set = is_esync_limit_set()\\n wine_path = self.get_path_for_version(config[\\\"version\\\"])\\n wine_ver = is_version_esync(wine_path)\\n response = True\\n\\n if not wine_ver:\\n response = thread_safe_call(esync_display_version_warning)\\n\\n if not limits_set:\\n thread_safe_call(esync_display_limit_warning)\\n response = False\\n\\n return widget, option, response\\n\\n def fsync_support_callback(widget, option, config):\\n fsync_supported = is_fsync_supported()\\n wine_path = self.get_path_for_version(config[\\\"version\\\"])\\n wine_ver = is_version_fsync(wine_path)\\n response = True\\n\\n if not wine_ver:\\n response = thread_safe_call(fsync_display_version_warning)\\n\\n if not fsync_supported:\\n thread_safe_call(fsync_display_support_warning)\\n response = False\\n\\n return widget, option, response\\n\\n def dxvk_vulkan_callback(widget, option, config):\\n response = True\\n if not is_vulkan_supported():\\n if not thread_safe_call(display_vulkan_error):\\n response = False\\n return widget, option, response\\n\\n self.runner_options = [\\n {\\n \\\"option\\\": \\\"version\\\",\\n \\\"label\\\": _(\\\"Wine version\\\"),\\n \\\"type\\\": \\\"choice\\\",\\n \\\"choices\\\": get_wine_version_choices,\\n \\\"default\\\": get_default_version(),\\n \\\"help\\\": _(\\n \\\"The version of Wine used to launch the game.\\\\n\\\"\\n \\\"Using the last version is generally recommended, \\\"\\n \\\"but some games work better on older versions.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"custom_wine_path\\\",\\n \\\"label\\\": _(\\\"Custom Wine executable\\\"),\\n \\\"type\\\": \\\"file\\\",\\n \\\"advanced\\\": True,\\n \\\"help\\\": _(\\\"The Wine executable to be used if you have \\\"\\n 'selected \\\"Custom\\\" as the Wine version.'),\\n },\\n {\\n \\\"option\\\": \\\"system_winetricks\\\",\\n \\\"label\\\": _(\\\"Use system winetricks\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": False,\\n \\\"advanced\\\": True,\\n \\\"help\\\": _(\\\"Switch on to use /usr/bin/winetricks for winetricks.\\\"),\\n },\\n {\\n \\\"option\\\": \\\"dxvk\\\",\\n \\\"label\\\": _(\\\"Enable DXVK\\\"),\\n \\\"type\\\": \\\"extended_bool\\\",\\n \\\"callback\\\": dxvk_vulkan_callback,\\n \\\"callback_on\\\": True,\\n \\\"default\\\": True,\\n \\\"active\\\": True,\\n \\\"help\\\": _(\\n \\\"Use DXVK to \\\"\\n \\\"increase compatibility and performance in Direct3D 11, 10 \\\"\\n \\\"and 9 applications by translating their calls to Vulkan.\\\"),\\n },\\n {\\n \\\"option\\\": \\\"dxvk_version\\\",\\n \\\"label\\\": _(\\\"DXVK version\\\"),\\n \\\"advanced\\\": True,\\n \\\"type\\\": \\\"choice_with_entry\\\",\\n \\\"choices\\\": DXVKManager().version_choices,\\n \\\"default\\\": DXVKManager().version,\\n },\\n\\n {\\n \\\"option\\\": \\\"vkd3d\\\",\\n \\\"label\\\": _(\\\"Enable VKD3D\\\"),\\n \\\"type\\\": \\\"extended_bool\\\",\\n \\\"callback\\\": dxvk_vulkan_callback,\\n \\\"callback_on\\\": True,\\n \\\"default\\\": True,\\n \\\"active\\\": True,\\n \\\"help\\\": _(\\n \\\"Use VKD3D to enable support for Direct3D 12 \\\"\\n \\\"applications by translating their calls to Vulkan.\\\"),\\n },\\n {\\n \\\"option\\\": \\\"vkd3d_version\\\",\\n \\\"label\\\": _(\\\"VKD3D version\\\"),\\n \\\"advanced\\\": True,\\n \\\"type\\\": \\\"choice_with_entry\\\",\\n \\\"choices\\\": VKD3DManager().version_choices,\\n \\\"default\\\": VKD3DManager().version,\\n },\\n {\\n \\\"option\\\": \\\"d3d_extras\\\",\\n \\\"label\\\": _(\\\"Enable D3D Extras\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": True,\\n \\\"advanced\\\": True,\\n \\\"help\\\": _(\\n \\\"Replace Wine's D3DX and D3DCOMPILER libraries with alternative ones. \\\"\\n \\\"Needed for proper functionality of DXVK with some games.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"d3d_extras_version\\\",\\n \\\"label\\\": _(\\\"D3D Extras version\\\"),\\n \\\"advanced\\\": True,\\n \\\"type\\\": \\\"choice_with_entry\\\",\\n \\\"choices\\\": D3DExtrasManager().version_choices,\\n \\\"default\\\": D3DExtrasManager().version,\\n },\\n {\\n \\\"option\\\": \\\"dxvk_nvapi\\\",\\n \\\"label\\\": _(\\\"Enable DXVK-NVAPI / DLSS\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": True,\\n \\\"advanced\\\": True,\\n \\\"help\\\": _(\\n \\\"Enable emulation of Nvidia's NVAPI and add DLSS support, if available.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"dxvk_nvapi_version\\\",\\n \\\"label\\\": _(\\\"DXVK NVAPI version\\\"),\\n \\\"advanced\\\": True,\\n \\\"type\\\": \\\"choice_with_entry\\\",\\n \\\"choices\\\": DXVKNVAPIManager().version_choices,\\n \\\"default\\\": DXVKNVAPIManager().version,\\n },\\n {\\n \\\"option\\\": \\\"dgvoodoo2\\\",\\n \\\"label\\\": _(\\\"Enable dgvoodoo2\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": False,\\n \\\"advanced\\\": False,\\n \\\"help\\\": _(\\n \\\"dgvoodoo2 is an alternative translation layer for rendering old games \\\"\\n \\\"that utilize D3D1-7 and Glide APIs. As it translates to D3D11, it's \\\"\\n \\\"recommended to use it in combination with DXVK. Only 32-bit apps are supported.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"dgvoodoo2_version\\\",\\n \\\"label\\\": _(\\\"dgvoodoo2 version\\\"),\\n \\\"advanced\\\": True,\\n \\\"type\\\": \\\"choice_with_entry\\\",\\n \\\"choices\\\": dgvoodoo2Manager().version_choices,\\n \\\"default\\\": dgvoodoo2Manager().version,\\n },\\n {\\n \\\"option\\\": \\\"esync\\\",\\n \\\"label\\\": _(\\\"Enable Esync\\\"),\\n \\\"type\\\": \\\"extended_bool\\\",\\n \\\"callback\\\": esync_limit_callback,\\n \\\"callback_on\\\": True,\\n \\\"active\\\": True,\\n \\\"default\\\": True,\\n \\\"help\\\": _(\\n \\\"Enable eventfd-based synchronization (esync). \\\"\\n \\\"This will increase performance in applications \\\"\\n \\\"that take advantage of multi-core processors.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"fsync\\\",\\n \\\"label\\\": _(\\\"Enable Fsync\\\"),\\n \\\"type\\\": \\\"extended_bool\\\",\\n \\\"default\\\": is_fsync_supported(),\\n \\\"callback\\\": fsync_support_callback,\\n \\\"callback_on\\\": True,\\n \\\"active\\\": True,\\n \\\"help\\\": _(\\n \\\"Enable futex-based synchronization (fsync). \\\"\\n \\\"This will increase performance in applications \\\"\\n \\\"that take advantage of multi-core processors. \\\"\\n \\\"Requires a custom kernel with the fsync patchset.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"fsr\\\",\\n \\\"label\\\": _(\\\"Enable AMD FidelityFX Super Resolution (FSR)\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": True,\\n \\\"help\\\": _(\\n \\\"Use FSR to upscale the game window to native resolution.\\\\n\\\"\\n \\\"Requires Lutris Wine FShack >= 6.13 and setting the game to a lower resolution.\\\\n\\\"\\n \\\"Does not work with games running in borderless window mode or that perform their own upscaling.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"battleye\\\",\\n \\\"label\\\": _(\\\"Enable BattlEye Anti-Cheat\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": True,\\n \\\"help\\\": _(\\n \\\"Enable support for BattlEye Anti-Cheat in supported games\\\\n\\\"\\n \\\"Requires Lutris Wine 6.21-2 and newer or any other compatible Wine build.\\\\n\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"eac\\\",\\n \\\"label\\\": _(\\\"Enable Easy Anti-Cheat\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": True,\\n \\\"help\\\": _(\\n \\\"Enable support for Easy Anti-Cheat in supported games\\\\n\\\"\\n \\\"Requires Lutris Wine 7.2 and newer or any other compatible Wine build.\\\\n\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"Desktop\\\",\\n \\\"label\\\": _(\\\"Windowed (virtual desktop)\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": False,\\n \\\"help\\\": _(\\n \\\"Run the whole Windows desktop in a window.\\\\n\\\"\\n \\\"Otherwise, run it fullscreen.\\\\n\\\"\\n \\\"This corresponds to Wine's Virtual Desktop option.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"WineDesktop\\\",\\n \\\"label\\\": _(\\\"Virtual desktop resolution\\\"),\\n \\\"type\\\": \\\"choice_with_entry\\\",\\n \\\"choices\\\": DISPLAY_MANAGER.get_resolutions,\\n \\\"help\\\": _(\\\"The size of the virtual desktop in pixels.\\\"),\\n },\\n {\\n \\\"option\\\": \\\"Dpi\\\",\\n \\\"label\\\": _(\\\"Enable DPI Scaling\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": False,\\n \\\"help\\\": _(\\n \\\"Enables the Windows application's DPI scaling.\\\\n\\\"\\n \\\"Otherwise, disables DPI scaling by using 96 DPI.\\\\n\\\"\\n \\\"This corresponds to Wine's Screen Resolution option.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"ExplicitDpi\\\",\\n \\\"label\\\": _(\\\"DPI\\\"),\\n \\\"type\\\": \\\"string\\\",\\n \\\"help\\\": _(\\n \\\"The DPI to be used if 'Enable DPI Scaling' is turned on.\\\\n\\\"\\n \\\"If blank or 'auto', Lutris will auto-detect this.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"MouseWarpOverride\\\",\\n \\\"label\\\": _(\\\"Mouse Warp Override\\\"),\\n \\\"type\\\": \\\"choice\\\",\\n \\\"choices\\\": [\\n (_(\\\"Enable\\\"), \\\"enable\\\"),\\n (_(\\\"Disable\\\"), \\\"disable\\\"),\\n (_(\\\"Force\\\"), \\\"force\\\"),\\n ],\\n \\\"default\\\": \\\"enable\\\",\\n \\\"advanced\\\": True,\\n \\\"help\\\": _(\\n \\\"Override the default mouse pointer warping behavior\\\\n\\\"\\n \\\"<b>Enable</b>: (Wine default) warp the pointer when the \\\"\\n \\\"mouse is exclusively acquired \\\\n\\\"\\n \\\"<b>Disable</b>: never warp the mouse pointer \\\\n\\\"\\n \\\"<b>Force</b>: always warp the pointer\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"Audio\\\",\\n \\\"label\\\": _(\\\"Audio driver\\\"),\\n \\\"type\\\": \\\"choice\\\",\\n \\\"advanced\\\": True,\\n \\\"choices\\\": [\\n (_(\\\"Auto\\\"), \\\"auto\\\"),\\n (\\\"ALSA\\\", \\\"alsa\\\"),\\n (\\\"PulseAudio\\\", \\\"pulse\\\"),\\n (\\\"OSS\\\", \\\"oss\\\"),\\n ],\\n \\\"default\\\": \\\"auto\\\",\\n \\\"help\\\": _(\\n \\\"Which audio backend to use.\\\\n\\\"\\n \\\"By default, Wine automatically picks the right one \\\"\\n \\\"for your system.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"overrides\\\",\\n \\\"type\\\": \\\"mapping\\\",\\n \\\"label\\\": _(\\\"DLL overrides\\\"),\\n \\\"help\\\": _(\\\"Sets WINEDLLOVERRIDES when launching the game.\\\"),\\n },\\n {\\n \\\"option\\\": \\\"show_debug\\\",\\n \\\"label\\\": _(\\\"Output debugging info\\\"),\\n \\\"type\\\": \\\"choice\\\",\\n \\\"choices\\\": [\\n (_(\\\"Disabled\\\"), \\\"-all\\\"),\\n (_(\\\"Enabled\\\"), \\\"\\\"),\\n (_(\\\"Inherit from environment\\\"), \\\"inherit\\\"),\\n (_(\\\"Show FPS\\\"), \\\"+fps\\\"),\\n (_(\\\"Full (CAUTION: Will cause MASSIVE slowdown)\\\"), \\\"+all\\\"),\\n ],\\n \\\"default\\\": \\\"-all\\\",\\n \\\"help\\\": _(\\\"Output debugging information in the game log \\\"\\n \\\"(might affect performance)\\\"),\\n },\\n {\\n \\\"option\\\": \\\"ShowCrashDialog\\\",\\n \\\"label\\\": _(\\\"Show crash dialogs\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": False,\\n \\\"advanced\\\": True,\\n },\\n {\\n \\\"option\\\": \\\"autoconf_joypad\\\",\\n \\\"type\\\": \\\"bool\\\",\\n \\\"label\\\": _(\\\"Autoconfigure joypads\\\"),\\n \\\"advanced\\\": True,\\n \\\"default\\\": False,\\n \\\"help\\\":\\n _(\\\"Automatically disables one of Wine's detected joypad \\\"\\n \\\"to avoid having 2 controllers detected\\\"),\\n },\\n {\\n \\\"option\\\": \\\"sandbox\\\",\\n \\\"type\\\": \\\"bool\\\",\\n \\\"label\\\": _(\\\"Create a sandbox for Wine folders\\\"),\\n \\\"default\\\": True,\\n \\\"advanced\\\": True,\\n \\\"help\\\": _(\\n \\\"Do not use $HOME for desktop integration folders.\\\\n\\\"\\n \\\"By default, it use the directories in the confined \\\"\\n \\\"Windows environment.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"sandbox_dir\\\",\\n \\\"type\\\": \\\"directory_chooser\\\",\\n \\\"label\\\": _(\\\"Sandbox directory\\\"),\\n \\\"help\\\": _(\\\"Custom directory for desktop integration folders.\\\"),\\n \\\"advanced\\\": True,\\n },\\n ]\\n\\n @property\\n def context_menu_entries(self):\\n \\\"\\\"\\\"Return the contexual menu entries for wine\\\"\\\"\\\"\\n menu_entries = [(\\\"wineexec\\\", _(\\\"Run EXE inside Wine prefix\\\"), self.run_wineexec)]\\n if \\\"Proton\\\" not in self.get_version():\\n menu_entries.append((\\\"winecfg\\\", _(\\\"Wine configuration\\\"), self.run_winecfg))\\n menu_entries += [\\n (\\\"wineshell\\\", _(\\\"Open Bash terminal\\\"), self.run_wine_terminal),\\n (\\\"wineconsole\\\", _(\\\"Open Wine console\\\"), self.run_wineconsole),\\n (\\\"wine-regedit\\\", _(\\\"Wine registry\\\"), self.run_regedit),\\n (\\\"winetricks\\\", _(\\\"Winetricks\\\"), self.run_winetricks),\\n (\\\"winecpl\\\", _(\\\"Wine Control Panel\\\"), self.run_winecpl),\\n ]\\n return menu_entries\\n\\n @property\\n def prefix_path(self):\\n \\\"\\\"\\\"Return the absolute path of the Wine prefix\\\"\\\"\\\"\\n _prefix_path = self.game_config.get(\\\"prefix\\\") \\\\\\n or os.environ.get(\\\"WINEPREFIX\\\")\\n if not _prefix_path and self.game_config.get(\\\"exe\\\"):\\n # Find prefix from game if we have one\\n _prefix_path = find_prefix(self.game_exe)\\n if not _prefix_path:\\n _prefix_path = DEFAULT_WINE_PREFIX\\n return os.path.expanduser(_prefix_path)\\n\\n @property\\n def game_exe(self):\\n \\\"\\\"\\\"Return the game's executable's path, which may not exist. None\\n if there is no exe path defined.\\\"\\\"\\\"\\n exe = self.game_config.get(\\\"exe\\\")\\n if not exe:\\n logger.error(\\\"The game doesn't have an executable\\\")\\n return None\\n if os.path.isabs(exe):\\n return system.fix_path_case(exe)\\n if not self.game_path:\\n logger.warning(\\\"The game has an executable, but not a game path\\\")\\n return None\\n return system.fix_path_case(os.path.join(self.game_path, exe))\\n\\n @property\\n def working_dir(self):\\n \\\"\\\"\\\"Return the working directory to use when running the game.\\\"\\\"\\\"\\n option = self.game_config.get(\\\"working_dir\\\")\\n if option:\\n return option\\n if self.game_exe:\\n game_dir = os.path.dirname(self.game_exe)\\n if os.path.isdir(game_dir):\\n return game_dir\\n return super().working_dir\\n\\n @property\\n def nvidia_shader_cache_path(self):\\n \\\"\\\"\\\"WINE should give each game its own shader cache if possible.\\\"\\\"\\\"\\n return self.game_path or self.shader_cache_dir\\n\\n @property\\n def wine_arch(self):\\n \\\"\\\"\\\"Return the wine architecture.\\n\\n Get it from the config or detect it from the prefix\\\"\\\"\\\"\\n arch = self.game_config.get(\\\"arch\\\") or \\\"auto\\\"\\n if arch not in (\\\"win32\\\", \\\"win64\\\"):\\n arch = detect_arch(self.prefix_path, self.get_executable())\\n return arch\\n\\n def get_version(self, use_default=True):\\n \\\"\\\"\\\"Return the Wine version to use. use_default can be set to false to\\n force the installation of a specific wine version\\\"\\\"\\\"\\n runner_version = self.runner_config.get(\\\"version\\\")\\n if runner_version:\\n return runner_version\\n if use_default:\\n return get_default_version()\\n\\n def get_path_for_version(self, version):\\n \\\"\\\"\\\"Return the absolute path of a wine executable for a given version\\\"\\\"\\\"\\n if version in WINE_PATHS:\\n return system.find_executable(WINE_PATHS[version])\\n if \\\"Proton\\\" in version:\\n for proton_path in get_proton_paths():\\n if os.path.isfile(os.path.join(proton_path, version, \\\"dist/bin/wine\\\")):\\n return os.path.join(proton_path, version, \\\"dist/bin/wine\\\")\\n if version.startswith(\\\"PlayOnLinux\\\"):\\n version, arch = version.split()[1].rsplit(\\\"-\\\", 1)\\n return os.path.join(POL_PATH, \\\"wine\\\", \\\"linux-\\\" + arch, version, \\\"bin/wine\\\")\\n if version == \\\"custom\\\":\\n return self.runner_config.get(\\\"custom_wine_path\\\", \\\"\\\")\\n return os.path.join(WINE_DIR, version, \\\"bin/wine\\\")\\n\\n def get_executable(self, version=None, fallback=True):\\n \\\"\\\"\\\"Return the path to the Wine executable.\\n A specific version can be specified if needed.\\n \\\"\\\"\\\"\\n if version is None:\\n version = self.get_version()\\n if not version:\\n return\\n\\n wine_path = self.get_path_for_version(version)\\n if system.path_exists(wine_path):\\n return wine_path\\n\\n if fallback:\\n # Fallback to default version\\n default_version = get_default_version()\\n wine_path = self.get_path_for_version(default_version)\\n if wine_path:\\n # Update the version in the config\\n if version == self.runner_config.get(\\\"version\\\"):\\n self.runner_config[\\\"version\\\"] = default_version\\n # TODO: runner_config is a dict so we have to instanciate a\\n # LutrisConfig object to save it.\\n # XXX: The version key could be either in the game specific\\n # config or the runner specific config. We need to know\\n # which one to get the correct LutrisConfig object.\\n return wine_path\\n\\n def is_installed(self, version=None, fallback=True, min_version=None):\\n \\\"\\\"\\\"Check if Wine is installed.\\n If no version is passed, checks if any version of wine is available\\n \\\"\\\"\\\"\\n if version:\\n return system.path_exists(self.get_executable(version, fallback))\\n\\n wine_versions = get_wine_versions()\\n if min_version:\\n min_version_list, _, _ = parse_version(min_version)\\n for wine_version in wine_versions:\\n version_list, _, _ = parse_version(wine_version)\\n if version_list > min_version_list:\\n return True\\n logger.warning(\\\"Wine %s or higher not found\\\", min_version)\\n return bool(wine_versions)\\n\\n @classmethod\\n def msi_exec(\\n cls,\\n msi_file,\\n quiet=False,\\n prefix=None,\\n wine_path=None,\\n working_dir=None,\\n blocking=False,\\n ):\\n msi_args = \\\"/i %s\\\" % msi_file\\n if quiet:\\n msi_args += \\\" /q\\\"\\n return wineexec(\\n \\\"msiexec\\\",\\n args=msi_args,\\n prefix=prefix,\\n wine_path=wine_path,\\n working_dir=working_dir,\\n blocking=blocking,\\n )\\n\\n def _run_executable(self, executable):\\n \\\"\\\"\\\"Runs a Windows executable using this game's configuration\\\"\\\"\\\"\\n wineexec(\\n executable,\\n wine_path=self.get_executable(),\\n prefix=self.prefix_path,\\n working_dir=self.prefix_path,\\n config=self,\\n env=self.get_env(os_env=True),\\n )\\n\\n def run_wineexec(self, *args):\\n \\\"\\\"\\\"Ask the user for an arbitrary exe file to run in the game's prefix\\\"\\\"\\\"\\n dlg = FileDialog(_(\\\"Select an EXE or MSI file\\\"), default_path=self.game_path)\\n filename = dlg.filename\\n if not filename:\\n return\\n self.prelaunch()\\n self._run_executable(filename)\\n\\n def run_wineconsole(self, *args):\\n \\\"\\\"\\\"Runs wineconsole inside wine prefix.\\\"\\\"\\\"\\n self.prelaunch()\\n self._run_executable(\\\"wineconsole\\\")\\n\\n def run_winecfg(self, *args):\\n \\\"\\\"\\\"Run winecfg in the current context\\\"\\\"\\\"\\n self.prelaunch()\\n winecfg(\\n wine_path=self.get_executable(),\\n prefix=self.prefix_path,\\n arch=self.wine_arch,\\n config=self,\\n env=self.get_env(os_env=True),\\n )\\n\\n def run_regedit(self, *args):\\n \\\"\\\"\\\"Run regedit in the current context\\\"\\\"\\\"\\n self.prelaunch()\\n self._run_executable(\\\"regedit\\\")\\n\\n def run_wine_terminal(self, *args):\\n terminal = self.system_config.get(\\\"terminal_app\\\")\\n open_wine_terminal(\\n terminal=terminal,\\n wine_path=self.get_executable(),\\n prefix=self.prefix_path,\\n env=self.get_env(os_env=True)\\n )\\n\\n def run_winetricks(self, *args):\\n \\\"\\\"\\\"Run winetricks in the current context\\\"\\\"\\\"\\n self.prelaunch()\\n winetricks(\\n \\\"\\\", prefix=self.prefix_path, wine_path=self.get_executable(), config=self, env=self.get_env(os_env=True)\\n )\\n\\n def run_winecpl(self, *args):\\n \\\"\\\"\\\"Execute Wine control panel.\\\"\\\"\\\"\\n self.prelaunch()\\n self._run_executable(\\\"control\\\")\\n\\n def run_winekill(self, *args):\\n \\\"\\\"\\\"Runs wineserver -k.\\\"\\\"\\\"\\n winekill(\\n self.prefix_path,\\n arch=self.wine_arch,\\n wine_path=self.get_executable(),\\n env=self.get_env(),\\n initial_pids=self.get_pids(),\\n )\\n return True\\n\\n def set_regedit_keys(self):\\n \\\"\\\"\\\"Reset regedit keys according to config.\\\"\\\"\\\"\\n prefix_manager = WinePrefixManager(self.prefix_path)\\n # Those options are directly changed with the prefix manager and skip\\n # any calls to regedit.\\n managed_keys = {\\n \\\"ShowCrashDialog\\\": prefix_manager.set_crash_dialogs,\\n \\\"Desktop\\\": prefix_manager.set_virtual_desktop,\\n \\\"WineDesktop\\\": prefix_manager.set_desktop_size,\\n }\\n\\n for key, path in self.reg_keys.items():\\n value = self.runner_config.get(key) or \\\"auto\\\"\\n if not value or value == \\\"auto\\\" and key not in managed_keys:\\n prefix_manager.clear_registry_subkeys(path, key)\\n elif key in self.runner_config:\\n if key in managed_keys:\\n # Do not pass fallback 'auto' value to managed keys\\n if value == \\\"auto\\\":\\n value = None\\n managed_keys[key](value)\\n continue\\n # Convert numeric strings to integers so they are saved as dword\\n if value.isdigit():\\n value = int(value)\\n\\n prefix_manager.set_registry_key(path, key, value)\\n\\n # We always configure the DPI, because if the user turns off DPI scaling, but it\\n # had been on the only way to implement that is to save 96 DPI into the registry.\\n prefix_manager.set_dpi(self.get_dpi())\\n\\n def get_dpi(self):\\n \\\"\\\"\\\"Return the DPI to be used by Wine; returns 96 to disable scaling,\\n as this is Window's unscaled default DPI.\\\"\\\"\\\"\\n if bool(self.runner_config.get(\\\"Dpi\\\")):\\n explicit_dpi = self.runner_config.get(\\\"ExplicitDpi\\\")\\n if explicit_dpi == \\\"auto\\\":\\n explicit_dpi = None\\n try:\\n explicit_dpi = int(explicit_dpi)\\n except ValueError:\\n explicit_dpi = None\\n return explicit_dpi or get_default_dpi()\\n\\n return 96\\n\\n def setup_dlls(self, manager_class, enable, version):\\n \\\"\\\"\\\"Enable or disable DLLs\\\"\\\"\\\"\\n dll_manager = manager_class(\\n self.prefix_path,\\n arch=self.wine_arch,\\n version=version,\\n )\\n # manual version only sets the dlls to native\\n if dll_manager.version.lower() != \\\"manual\\\":\\n if enable:\\n dll_manager.enable()\\n else:\\n dll_manager.disable()\\n\\n if enable:\\n for dll in dll_manager.managed_dlls:\\n # We have to make sure that the dll exists before setting it to native\\n if dll_manager.dll_exists(dll):\\n self.dll_overrides[dll] = \\\"n\\\"\\n\\n def prelaunch(self):\\n if not system.path_exists(os.path.join(self.prefix_path, \\\"user.reg\\\")):\\n logger.warning(\\\"No valid prefix detected in %s, creating one...\\\", self.prefix_path)\\n create_prefix(self.prefix_path, wine_path=self.get_executable(), arch=self.wine_arch)\\n\\n prefix_manager = WinePrefixManager(self.prefix_path)\\n if self.runner_config.get(\\\"autoconf_joypad\\\", False):\\n prefix_manager.configure_joypads()\\n self.sandbox(prefix_manager)\\n self.set_regedit_keys()\\n\\n self.setup_dlls(\\n DXVKManager,\\n bool(self.runner_config.get(\\\"dxvk\\\")),\\n self.runner_config.get(\\\"dxvk_version\\\")\\n )\\n self.setup_dlls(\\n VKD3DManager,\\n bool(self.runner_config.get(\\\"vkd3d\\\")),\\n self.runner_config.get(\\\"vkd3d_version\\\")\\n )\\n self.setup_dlls(\\n DXVKNVAPIManager,\\n bool(self.runner_config.get(\\\"dxvk_nvapi\\\")),\\n self.runner_config.get(\\\"dxvk_nvapi_version\\\")\\n )\\n self.setup_dlls(\\n D3DExtrasManager,\\n bool(self.runner_config.get(\\\"d3d_extras\\\")),\\n self.runner_config.get(\\\"d3d_extras_version\\\")\\n )\\n self.setup_dlls(\\n dgvoodoo2Manager,\\n bool(self.runner_config.get(\\\"dgvoodoo2\\\")),\\n self.runner_config.get(\\\"dgvoodoo2_version\\\")\\n )\\n return True\\n\\n def get_dll_overrides(self):\\n \\\"\\\"\\\"Return the DLLs overriden at runtime\\\"\\\"\\\"\\n try:\\n overrides = self.runner_config[\\\"overrides\\\"]\\n except KeyError:\\n overrides = {}\\n if not isinstance(overrides, dict):\\n logger.warning(\\\"DLL overrides is not a mapping: %s\\\", overrides)\\n overrides = {}\\n return overrides\\n\\n def get_env(self, os_env=False):\\n \\\"\\\"\\\"Return environment variables used by the game\\\"\\\"\\\"\\n # Always false to runner.get_env, the default value\\n # of os_env is inverted in the wine class,\\n # the OS env is read later.\\n env = super().get_env(False)\\n if os_env:\\n env.update(os.environ.copy())\\n show_debug = self.runner_config.get(\\\"show_debug\\\", \\\"-all\\\")\\n if show_debug != \\\"inherit\\\":\\n env[\\\"WINEDEBUG\\\"] = show_debug\\n if show_debug == \\\"-all\\\":\\n env[\\\"DXVK_LOG_LEVEL\\\"] = \\\"none\\\"\\n env[\\\"WINEARCH\\\"] = self.wine_arch\\n env[\\\"WINE\\\"] = self.get_executable()\\n env[\\\"WINE_MONO_CACHE_DIR\\\"] = os.path.join(WINE_DIR, self.get_version(), \\\"mono\\\")\\n env[\\\"WINE_GECKO_CACHE_DIR\\\"] = os.path.join(WINE_DIR, self.get_version(), \\\"gecko\\\")\\n if is_gstreamer_build(self.get_executable()):\\n path_64 = os.path.join(WINE_DIR, self.get_version(), \\\"lib64/gstreamer-1.0/\\\")\\n path_32 = os.path.join(WINE_DIR, self.get_version(), \\\"lib/gstreamer-1.0/\\\")\\n if os.path.exists(path_64) or os.path.exists(path_32):\\n env[\\\"GST_PLUGIN_SYSTEM_PATH_1_0\\\"] = path_64 + \\\":\\\" + path_32\\n if self.prefix_path:\\n env[\\\"WINEPREFIX\\\"] = self.prefix_path\\n\\n if not (\\\"WINEESYNC\\\" in env and env[\\\"WINEESYNC\\\"] == \\\"1\\\"):\\n env[\\\"WINEESYNC\\\"] = \\\"1\\\" if self.runner_config.get(\\\"esync\\\") else \\\"0\\\"\\n\\n if not (\\\"WINEFSYNC\\\" in env and env[\\\"WINEFSYNC\\\"] == \\\"1\\\"):\\n env[\\\"WINEFSYNC\\\"] = \\\"1\\\" if self.runner_config.get(\\\"fsync\\\") else \\\"0\\\"\\n\\n if self.runner_config.get(\\\"fsr\\\"):\\n env[\\\"WINE_FULLSCREEN_FSR\\\"] = \\\"1\\\"\\n\\n if self.runner_config.get(\\\"dxvk_nvapi\\\"):\\n env[\\\"DXVK_NVAPIHACK\\\"] = \\\"0\\\"\\n env[\\\"DXVK_ENABLE_NVAPI\\\"] = \\\"1\\\"\\n\\n if self.runner_config.get(\\\"battleye\\\"):\\n env[\\\"PROTON_BATTLEYE_RUNTIME\\\"] = os.path.join(settings.RUNTIME_DIR, \\\"battleye_runtime\\\")\\n\\n if self.runner_config.get(\\\"eac\\\"):\\n env[\\\"PROTON_EAC_RUNTIME\\\"] = os.path.join(settings.RUNTIME_DIR, \\\"eac_runtime\\\")\\n\\n overrides = self.get_dll_overrides()\\n if overrides:\\n self.dll_overrides.update(overrides)\\n env[\\\"WINEDLLOVERRIDES\\\"] = get_overrides_env(self.dll_overrides)\\n return env\\n\\n def get_runtime_env(self):\\n \\\"\\\"\\\"Return runtime environment variables with path to wine for Lutris builds\\\"\\\"\\\"\\n wine_path = self.get_executable()\\n wine_root = None\\n if WINE_DIR:\\n wine_root = os.path.dirname(os.path.dirname(wine_path))\\n for proton_path in get_proton_paths():\\n if proton_path in wine_path:\\n wine_root = os.path.dirname(os.path.dirname(wine_path))\\n return runtime.get_env(\\n version=\\\"Ubuntu-18.04\\\",\\n prefer_system_libs=self.system_config.get(\\\"prefer_system_libs\\\", True),\\n wine_path=wine_root,\\n )\\n\\n def get_pids(self, wine_path=None):\\n \\\"\\\"\\\"Return a list of pids of processes using the current wine exe.\\\"\\\"\\\"\\n if wine_path:\\n exe = wine_path\\n else:\\n exe = self.get_executable()\\n if not exe.startswith(\\\"/\\\"):\\n exe = system.find_executable(exe)\\n pids = system.get_pids_using_file(exe)\\n if self.wine_arch == \\\"win64\\\" and os.path.basename(exe) == \\\"wine\\\":\\n pids = pids | system.get_pids_using_file(exe + \\\"64\\\")\\n\\n # Add wineserver PIDs to the mix (at least one occurence of fuser not\\n # picking the games's PID from wine/wine64 but from wineserver for some\\n # unknown reason.\\n pids = pids | system.get_pids_using_file(os.path.join(os.path.dirname(exe), \\\"wineserver\\\"))\\n return pids\\n\\n def sandbox(self, wine_prefix):\\n if self.runner_config.get(\\\"sandbox\\\", True):\\n wine_prefix.desktop_integration(desktop_dir=self.runner_config.get(\\\"sandbox_dir\\\"))\\n else:\\n wine_prefix.desktop_integration(restore=True)\\n\\n def play(self): # pylint: disable=too-many-return-statements # noqa: C901\\n game_exe = self.game_exe\\n arguments = self.game_config.get(\\\"args\\\", \\\"\\\")\\n launch_info = {\\\"env\\\": self.get_env(os_env=False)}\\n using_dxvk = self.runner_config.get(\\\"dxvk\\\")\\n\\n if using_dxvk:\\n # Set this to 1 to enable access to more RAM for 32bit applications\\n launch_info[\\\"env\\\"][\\\"WINE_LARGE_ADDRESS_AWARE\\\"] = \\\"1\\\"\\n if not is_vulkan_supported():\\n if not display_vulkan_error(True):\\n return {\\\"error\\\": \\\"VULKAN_NOT_FOUND\\\"}\\n\\n if not game_exe or not system.path_exists(game_exe):\\n return {\\\"error\\\": \\\"FILE_NOT_FOUND\\\", \\\"file\\\": game_exe}\\n\\n if launch_info[\\\"env\\\"].get(\\\"WINEESYNC\\\") == \\\"1\\\":\\n limit_set = is_esync_limit_set()\\n wine_ver = is_version_esync(self.get_executable())\\n\\n if not limit_set and not wine_ver:\\n esync_display_version_warning(True)\\n esync_display_limit_warning()\\n return {\\\"error\\\": \\\"ESYNC_LIMIT_NOT_SET\\\"}\\n if not is_esync_limit_set():\\n esync_display_limit_warning()\\n return {\\\"error\\\": \\\"ESYNC_LIMIT_NOT_SET\\\"}\\n if not wine_ver:\\n if not esync_display_version_warning(True):\\n return {\\\"error\\\": \\\"NON_ESYNC_WINE_VERSION\\\"}\\n\\n if launch_info[\\\"env\\\"].get(\\\"WINEFSYNC\\\") == \\\"1\\\":\\n fsync_supported = is_fsync_supported()\\n wine_ver = is_version_fsync(self.get_executable())\\n\\n if not fsync_supported and not wine_ver:\\n fsync_display_version_warning(True)\\n fsync_display_support_warning()\\n return {\\\"error\\\": \\\"FSYNC_NOT_SUPPORTED\\\"}\\n if not fsync_supported:\\n fsync_display_support_warning()\\n return {\\\"error\\\": \\\"FSYNC_NOT_SUPPORTED\\\"}\\n if not wine_ver:\\n if not fsync_display_version_warning(True):\\n return {\\\"error\\\": \\\"NON_FSYNC_WINE_VERSION\\\"}\\n\\n command = [self.get_executable()]\\n\\n game_exe, args, _working_dir = get_real_executable(game_exe, self.working_dir)\\n command.append(game_exe)\\n if args:\\n command = command + args\\n\\n if arguments:\\n for arg in split_arguments(arguments):\\n command.append(arg)\\n launch_info[\\\"command\\\"] = command\\n return launch_info\\n\\n def force_stop_game(self, game):\\n \\\"\\\"\\\"Kill WINE with kindness, or at least with -k. This seems to leave a process\\n alive for some reason, but the caller will detect this and SIGKILL it.\\\"\\\"\\\"\\n self.run_winekill()\\n\\n @staticmethod\\n def parse_wine_path(path, prefix_path=None):\\n \\\"\\\"\\\"Take a Windows path, return the corresponding Linux path.\\\"\\\"\\\"\\n if not prefix_path:\\n prefix_path = os.path.expanduser(\\\"~/.wine\\\")\\n\\n path = path.replace(\\\"\\\\\\\\\\\\\\\\\\\", \\\"/\\\").replace(\\\"\\\\\\\\\\\", \\\"/\\\")\\n\\n if path[1] == \\\":\\\": # absolute path\\n drive = os.path.join(prefix_path, \\\"dosdevices\\\", path[:2].lower())\\n if os.path.islink(drive): # Try to resolve the path\\n drive = os.readlink(drive)\\n return os.path.join(drive, path[3:])\\n\\n if path[0] == \\\"/\\\": # drive-relative path. C is as good a guess as any..\\n return os.path.join(prefix_path, \\\"drive_c\\\", path[1:])\\n\\n # Relative path\\n return path\\n\",\n \"path\": \"lutris/runners/wine.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"\"\"\"Wine runner\"\"\"\n# pylint: disable=too-many-lines\nimport os\nimport shlex\nfrom gettext import gettext as _\n\nfrom lutris import runtime, settings\nfrom lutris.gui.dialogs import FileDialog\nfrom lutris.runners.commands.wine import ( # noqa: F401 pylint: disable=unused-import\n create_prefix, delete_registry_key, eject_disc, install_cab_component, open_wine_terminal, set_regedit,\n set_regedit_file, winecfg, wineexec, winekill, winetricks\n)\nfrom lutris.runners.runner import Runner\nfrom lutris.util import system\nfrom lutris.util.display import DISPLAY_MANAGER, get_default_dpi\nfrom lutris.util.graphics.vkquery import is_vulkan_supported\nfrom lutris.util.jobs import thread_safe_call\nfrom lutris.util.log import logger\nfrom lutris.util.strings import parse_version, split_arguments\nfrom lutris.util.wine.d3d_extras import D3DExtrasManager\nfrom lutris.util.wine.dgvoodoo2 import dgvoodoo2Manager\nfrom lutris.util.wine.dxvk import DXVKManager\nfrom lutris.util.wine.dxvk_nvapi import DXVKNVAPIManager\nfrom lutris.util.wine.prefix import DEFAULT_DLL_OVERRIDES, WinePrefixManager, find_prefix\nfrom lutris.util.wine.vkd3d import VKD3DManager\nfrom lutris.util.wine.wine import (\n POL_PATH, WINE_DIR, WINE_PATHS, detect_arch, display_vulkan_error, esync_display_limit_warning,\n esync_display_version_warning, fsync_display_support_warning, fsync_display_version_warning, get_default_version,\n get_overrides_env, get_proton_paths, get_real_executable, get_wine_version, get_wine_versions, is_esync_limit_set,\n is_fsync_supported, is_gstreamer_build, is_version_esync, is_version_fsync\n)\n\nDEFAULT_WINE_PREFIX = \"~/.wine\"\nMIN_SAFE_VERSION = \"7.0\" # Wine installers must run with at least this version\n\n\nclass wine(Runner):\n description = _(\"Runs Windows games\")\n human_name = _(\"Wine\")\n platforms = [_(\"Windows\")]\n multiple_versions = True\n entry_point_option = \"exe\"\n\n game_options = [\n {\n \"option\": \"exe\",\n \"type\": \"file\",\n \"label\": _(\"Executable\"),\n \"help\": _(\"The game's main EXE file\"),\n },\n {\n \"option\": \"args\",\n \"type\": \"string\",\n \"label\": _(\"Arguments\"),\n \"help\": _(\"Windows command line arguments used when launching the game\"),\n \"validator\": shlex.split\n },\n {\n \"option\": \"working_dir\",\n \"type\": \"directory_chooser\",\n \"label\": _(\"Working directory\"),\n \"help\": _(\n \"The location where the game is run from.\\n\"\n \"By default, Lutris uses the directory of the \"\n \"executable.\"\n ),\n },\n {\n \"option\": \"prefix\",\n \"type\": \"directory_chooser\",\n \"label\": _(\"Wine prefix\"),\n \"help\": _(\n 'The prefix used by Wine.\\n'\n \"It's a directory containing a set of files and \"\n \"folders making up a confined Windows environment.\"\n ),\n },\n {\n \"option\": \"arch\",\n \"type\": \"choice\",\n \"label\": _(\"Prefix architecture\"),\n \"choices\": [(_(\"Auto\"), \"auto\"), (_(\"32-bit\"), \"win32\"), (_(\"64-bit\"), \"win64\")],\n \"default\": \"auto\",\n \"help\": _(\"The architecture of the Windows environment\"),\n },\n ]\n\n reg_prefix = \"HKEY_CURRENT_USER/Software/Wine\"\n reg_keys = {\n \"Audio\": r\"%s/Drivers\" % reg_prefix,\n \"MouseWarpOverride\": r\"%s/DirectInput\" % reg_prefix,\n \"Desktop\": \"MANAGED\",\n \"WineDesktop\": \"MANAGED\",\n \"ShowCrashDialog\": \"MANAGED\"\n }\n\n core_processes = (\n \"services.exe\",\n \"winedevice.exe\",\n \"plugplay.exe\",\n \"explorer.exe\",\n \"rpcss.exe\",\n \"rundll32.exe\",\n \"wineboot.exe\",\n )\n\n def __init__(self, config=None): # noqa: C901\n super().__init__(config)\n self.dll_overrides = DEFAULT_DLL_OVERRIDES.copy() # we'll modify this, so we better copy it\n\n def get_wine_version_choices():\n version_choices = [(_(\"Custom (select executable below)\"), \"custom\")]\n labels = {\n \"winehq-devel\": _(\"WineHQ Devel ({})\"),\n \"winehq-staging\": _(\"WineHQ Staging ({})\"),\n \"wine-development\": _(\"Wine Development ({})\"),\n \"system\": _(\"System ({})\"),\n }\n versions = get_wine_versions()\n for version in versions:\n if version in labels:\n version_number = get_wine_version(WINE_PATHS[version])\n label = labels[version].format(version_number)\n else:\n label = version\n version_choices.append((label, version))\n return version_choices\n\n def esync_limit_callback(widget, option, config):\n limits_set = is_esync_limit_set()\n wine_path = self.get_path_for_version(config[\"version\"])\n wine_ver = is_version_esync(wine_path)\n response = True\n\n if not wine_ver:\n response = thread_safe_call(esync_display_version_warning)\n\n if not limits_set:\n thread_safe_call(esync_display_limit_warning)\n response = False\n\n return widget, option, response\n\n def fsync_support_callback(widget, option, config):\n fsync_supported = is_fsync_supported()\n wine_path = self.get_path_for_version(config[\"version\"])\n wine_ver = is_version_fsync(wine_path)\n response = True\n\n if not wine_ver:\n response = thread_safe_call(fsync_display_version_warning)\n\n if not fsync_supported:\n thread_safe_call(fsync_display_support_warning)\n response = False\n\n return widget, option, response\n\n def dxvk_vulkan_callback(widget, option, config):\n response = True\n if not is_vulkan_supported():\n if not thread_safe_call(display_vulkan_error):\n response = False\n return widget, option, response\n\n self.runner_options = [\n {\n \"option\": \"version\",\n \"label\": _(\"Wine version\"),\n \"type\": \"choice\",\n \"choices\": get_wine_version_choices,\n \"default\": get_default_version(),\n \"help\": _(\n \"The version of Wine used to launch the game.\\n\"\n \"Using the last version is generally recommended, \"\n \"but some games work better on older versions.\"\n ),\n },\n {\n \"option\": \"custom_wine_path\",\n \"label\": _(\"Custom Wine executable\"),\n \"type\": \"file\",\n \"advanced\": True,\n \"help\": _(\"The Wine executable to be used if you have \"\n 'selected \"Custom\" as the Wine version.'),\n },\n {\n \"option\": \"system_winetricks\",\n \"label\": _(\"Use system winetricks\"),\n \"type\": \"bool\",\n \"default\": False,\n \"advanced\": True,\n \"help\": _(\"Switch on to use /usr/bin/winetricks for winetricks.\"),\n },\n {\n \"option\": \"dxvk\",\n \"label\": _(\"Enable DXVK\"),\n \"type\": \"extended_bool\",\n \"callback\": dxvk_vulkan_callback,\n \"callback_on\": True,\n \"default\": True,\n \"active\": True,\n \"help\": _(\n \"Use DXVK to \"\n \"increase compatibility and performance in Direct3D 11, 10 \"\n \"and 9 applications by translating their calls to Vulkan.\"),\n },\n {\n \"option\": \"dxvk_version\",\n \"label\": _(\"DXVK version\"),\n \"advanced\": True,\n \"type\": \"choice_with_entry\",\n \"choices\": DXVKManager().version_choices,\n \"default\": DXVKManager().version,\n },\n\n {\n \"option\": \"vkd3d\",\n \"label\": _(\"Enable VKD3D\"),\n \"type\": \"extended_bool\",\n \"callback\": dxvk_vulkan_callback,\n \"callback_on\": True,\n \"default\": True,\n \"active\": True,\n \"help\": _(\n \"Use VKD3D to enable support for Direct3D 12 \"\n \"applications by translating their calls to Vulkan.\"),\n },\n {\n \"option\": \"vkd3d_version\",\n \"label\": _(\"VKD3D version\"),\n \"advanced\": True,\n \"type\": \"choice_with_entry\",\n \"choices\": VKD3DManager().version_choices,\n \"default\": VKD3DManager().version,\n },\n {\n \"option\": \"d3d_extras\",\n \"label\": _(\"Enable D3D Extras\"),\n \"type\": \"bool\",\n \"default\": True,\n \"advanced\": True,\n \"help\": _(\n \"Replace Wine's D3DX and D3DCOMPILER libraries with alternative ones. \"\n \"Needed for proper functionality of DXVK with some games.\"\n ),\n },\n {\n \"option\": \"d3d_extras_version\",\n \"label\": _(\"D3D Extras version\"),\n \"advanced\": True,\n \"type\": \"choice_with_entry\",\n \"choices\": D3DExtrasManager().version_choices,\n \"default\": D3DExtrasManager().version,\n },\n {\n \"option\": \"dxvk_nvapi\",\n \"label\": _(\"Enable DXVK-NVAPI / DLSS\"),\n \"type\": \"bool\",\n \"default\": True,\n \"advanced\": True,\n \"help\": _(\n \"Enable emulation of Nvidia's NVAPI and add DLSS support, if available.\"\n ),\n },\n {\n \"option\": \"dxvk_nvapi_version\",\n \"label\": _(\"DXVK NVAPI version\"),\n \"advanced\": True,\n \"type\": \"choice_with_entry\",\n \"choices\": DXVKNVAPIManager().version_choices,\n \"default\": DXVKNVAPIManager().version,\n },\n {\n \"option\": \"dgvoodoo2\",\n \"label\": _(\"Enable dgvoodoo2\"),\n \"type\": \"bool\",\n \"default\": False,\n \"advanced\": False,\n \"help\": _(\n \"dgvoodoo2 is an alternative translation layer for rendering old games \"\n \"that utilize D3D1-7 and Glide APIs. As it translates to D3D11, it's \"\n \"recommended to use it in combination with DXVK. Only 32-bit apps are supported.\"\n ),\n },\n {\n \"option\": \"dgvoodoo2_version\",\n \"label\": _(\"dgvoodoo2 version\"),\n \"advanced\": True,\n \"type\": \"choice_with_entry\",\n \"choices\": dgvoodoo2Manager().version_choices,\n \"default\": dgvoodoo2Manager().version,\n },\n {\n \"option\": \"esync\",\n \"label\": _(\"Enable Esync\"),\n \"type\": \"extended_bool\",\n \"callback\": esync_limit_callback,\n \"callback_on\": True,\n \"active\": True,\n \"default\": True,\n \"help\": _(\n \"Enable eventfd-based synchronization (esync). \"\n \"This will increase performance in applications \"\n \"that take advantage of multi-core processors.\"\n ),\n },\n {\n \"option\": \"fsync\",\n \"label\": _(\"Enable Fsync\"),\n \"type\": \"extended_bool\",\n \"default\": is_fsync_supported(),\n \"callback\": fsync_support_callback,\n \"callback_on\": True,\n \"active\": True,\n \"help\": _(\n \"Enable futex-based synchronization (fsync). \"\n \"This will increase performance in applications \"\n \"that take advantage of multi-core processors. \"\n \"Requires a custom kernel with the fsync patchset.\"\n ),\n },\n {\n \"option\": \"fsr\",\n \"label\": _(\"Enable AMD FidelityFX Super Resolution (FSR)\"),\n \"type\": \"bool\",\n \"default\": True,\n \"help\": _(\n \"Use FSR to upscale the game window to native resolution.\\n\"\n \"Requires Lutris Wine FShack >= 6.13 and setting the game to a lower resolution.\\n\"\n \"Does not work with games running in borderless window mode or that perform their own upscaling.\"\n ),\n },\n {\n \"option\": \"battleye\",\n \"label\": _(\"Enable BattlEye Anti-Cheat\"),\n \"type\": \"bool\",\n \"default\": True,\n \"help\": _(\n \"Enable support for BattlEye Anti-Cheat in supported games\\n\"\n \"Requires Lutris Wine 6.21-2 and newer or any other compatible Wine build.\\n\"\n ),\n },\n {\n \"option\": \"eac\",\n \"label\": _(\"Enable Easy Anti-Cheat\"),\n \"type\": \"bool\",\n \"default\": True,\n \"help\": _(\n \"Enable support for Easy Anti-Cheat in supported games\\n\"\n \"Requires Lutris Wine 7.2 and newer or any other compatible Wine build.\\n\"\n ),\n },\n {\n \"option\": \"Desktop\",\n \"label\": _(\"Windowed (virtual desktop)\"),\n \"type\": \"bool\",\n \"default\": False,\n \"help\": _(\n \"Run the whole Windows desktop in a window.\\n\"\n \"Otherwise, run it fullscreen.\\n\"\n \"This corresponds to Wine's Virtual Desktop option.\"\n ),\n },\n {\n \"option\": \"WineDesktop\",\n \"label\": _(\"Virtual desktop resolution\"),\n \"type\": \"choice_with_entry\",\n \"choices\": DISPLAY_MANAGER.get_resolutions,\n \"help\": _(\"The size of the virtual desktop in pixels.\"),\n },\n {\n \"option\": \"Dpi\",\n \"label\": _(\"Enable DPI Scaling\"),\n \"type\": \"bool\",\n \"default\": False,\n \"help\": _(\n \"Enables the Windows application's DPI scaling.\\n\"\n \"Otherwise, disables DPI scaling by using 96 DPI.\\n\"\n \"This corresponds to Wine's Screen Resolution option.\"\n ),\n },\n {\n \"option\": \"ExplicitDpi\",\n \"label\": _(\"DPI\"),\n \"type\": \"string\",\n \"help\": _(\n \"The DPI to be used if 'Enable DPI Scaling' is turned on.\\n\"\n \"If blank or 'auto', Lutris will auto-detect this.\"\n ),\n },\n {\n \"option\": \"MouseWarpOverride\",\n \"label\": _(\"Mouse Warp Override\"),\n \"type\": \"choice\",\n \"choices\": [\n (_(\"Enable\"), \"enable\"),\n (_(\"Disable\"), \"disable\"),\n (_(\"Force\"), \"force\"),\n ],\n \"default\": \"enable\",\n \"advanced\": True,\n \"help\": _(\n \"Override the default mouse pointer warping behavior\\n\"\n \"<b>Enable</b>: (Wine default) warp the pointer when the \"\n \"mouse is exclusively acquired \\n\"\n \"<b>Disable</b>: never warp the mouse pointer \\n\"\n \"<b>Force</b>: always warp the pointer\"\n ),\n },\n {\n \"option\": \"Audio\",\n \"label\": _(\"Audio driver\"),\n \"type\": \"choice\",\n \"advanced\": True,\n \"choices\": [\n (_(\"Auto\"), \"auto\"),\n (\"ALSA\", \"alsa\"),\n (\"PulseAudio\", \"pulse\"),\n (\"OSS\", \"oss\"),\n ],\n \"default\": \"auto\",\n \"help\": _(\n \"Which audio backend to use.\\n\"\n \"By default, Wine automatically picks the right one \"\n \"for your system.\"\n ),\n },\n {\n \"option\": \"overrides\",\n \"type\": \"mapping\",\n \"label\": _(\"DLL overrides\"),\n \"help\": _(\"Sets WINEDLLOVERRIDES when launching the game.\"),\n },\n {\n \"option\": \"show_debug\",\n \"label\": _(\"Output debugging info\"),\n \"type\": \"choice\",\n \"choices\": [\n (_(\"Disabled\"), \"-all\"),\n (_(\"Enabled\"), \"\"),\n (_(\"Inherit from environment\"), \"inherit\"),\n (_(\"Show FPS\"), \"+fps\"),\n (_(\"Full (CAUTION: Will cause MASSIVE slowdown)\"), \"+all\"),\n ],\n \"default\": \"-all\",\n \"help\": _(\"Output debugging information in the game log \"\n \"(might affect performance)\"),\n },\n {\n \"option\": \"ShowCrashDialog\",\n \"label\": _(\"Show crash dialogs\"),\n \"type\": \"bool\",\n \"default\": False,\n \"advanced\": True,\n },\n {\n \"option\": \"autoconf_joypad\",\n \"type\": \"bool\",\n \"label\": _(\"Autoconfigure joypads\"),\n \"advanced\": True,\n \"default\": False,\n \"help\":\n _(\"Automatically disables one of Wine's detected joypad \"\n \"to avoid having 2 controllers detected\"),\n },\n {\n \"option\": \"sandbox\",\n \"type\": \"bool\",\n \"label\": _(\"Create a sandbox for Wine folders\"),\n \"default\": True,\n \"advanced\": True,\n \"help\": _(\n \"Do not use $HOME for desktop integration folders.\\n\"\n \"By default, it use the directories in the confined \"\n \"Windows environment.\"\n ),\n },\n {\n \"option\": \"sandbox_dir\",\n \"type\": \"directory_chooser\",\n \"label\": _(\"Sandbox directory\"),\n \"help\": _(\"Custom directory for desktop integration folders.\"),\n \"advanced\": True,\n },\n ]\n\n @property\n def context_menu_entries(self):\n \"\"\"Return the contexual menu entries for wine\"\"\"\n menu_entries = [(\"wineexec\", _(\"Run EXE inside Wine prefix\"), self.run_wineexec)]\n if \"Proton\" not in self.get_version():\n menu_entries.append((\"winecfg\", _(\"Wine configuration\"), self.run_winecfg))\n menu_entries += [\n (\"wineshell\", _(\"Open Bash terminal\"), self.run_wine_terminal),\n (\"wineconsole\", _(\"Open Wine console\"), self.run_wineconsole),\n (\"wine-regedit\", _(\"Wine registry\"), self.run_regedit),\n (\"winetricks\", _(\"Winetricks\"), self.run_winetricks),\n (\"winecpl\", _(\"Wine Control Panel\"), self.run_winecpl),\n ]\n return menu_entries\n\n @property\n def prefix_path(self):\n \"\"\"Return the absolute path of the Wine prefix\"\"\"\n _prefix_path = self.game_config.get(\"prefix\") \\\n or os.environ.get(\"WINEPREFIX\")\n if not _prefix_path and self.game_config.get(\"exe\"):\n # Find prefix from game if we have one\n _prefix_path = find_prefix(self.game_exe)\n if not _prefix_path:\n _prefix_path = DEFAULT_WINE_PREFIX\n return os.path.expanduser(_prefix_path)\n\n @property\n def game_exe(self):\n \"\"\"Return the game's executable's path, which may not exist. None\n if there is no exe path defined.\"\"\"\n exe = self.game_config.get(\"exe\")\n if not exe:\n logger.error(\"The game doesn't have an executable\")\n return None\n if os.path.isabs(exe):\n return system.fix_path_case(exe)\n if not self.game_path:\n logger.warning(\"The game has an executable, but not a game path\")\n return None\n return system.fix_path_case(os.path.join(self.game_path, exe))\n\n @property\n def working_dir(self):\n \"\"\"Return the working directory to use when running the game.\"\"\"\n option = self.game_config.get(\"working_dir\")\n if option:\n return option\n if self.game_exe:\n game_dir = os.path.dirname(self.game_exe)\n if os.path.isdir(game_dir):\n return game_dir\n return super().working_dir\n\n @property\n def nvidia_shader_cache_path(self):\n \"\"\"WINE should give each game its own shader cache if possible.\"\"\"\n return self.game_path or self.shader_cache_dir\n\n @property\n def wine_arch(self):\n \"\"\"Return the wine architecture.\n\n Get it from the config or detect it from the prefix\"\"\"\n arch = self.game_config.get(\"arch\") or \"auto\"\n if arch not in (\"win32\", \"win64\"):\n arch = detect_arch(self.prefix_path, self.get_executable())\n return arch\n\n def get_version(self, use_default=True):\n \"\"\"Return the Wine version to use. use_default can be set to false to\n force the installation of a specific wine version\"\"\"\n runner_version = self.runner_config.get(\"version\")\n if runner_version:\n return runner_version\n if use_default:\n return get_default_version()\n\n def get_path_for_version(self, version):\n \"\"\"Return the absolute path of a wine executable for a given version\"\"\"\n if version in WINE_PATHS:\n return system.find_executable(WINE_PATHS[version])\n if \"Proton\" in version:\n for proton_path in get_proton_paths():\n if os.path.isfile(os.path.join(proton_path, version, \"dist/bin/wine\")):\n return os.path.join(proton_path, version, \"dist/bin/wine\")\n if version.startswith(\"PlayOnLinux\"):\n version, arch = version.split()[1].rsplit(\"-\", 1)\n return os.path.join(POL_PATH, \"wine\", \"linux-\" + arch, version, \"bin/wine\")\n if version == \"custom\":\n return self.runner_config.get(\"custom_wine_path\", \"\")\n return os.path.join(WINE_DIR, version, \"bin/wine\")\n\n def get_executable(self, version=None, fallback=True):\n \"\"\"Return the path to the Wine executable.\n A specific version can be specified if needed.\n \"\"\"\n if version is None:\n version = self.get_version()\n if not version:\n return\n\n wine_path = self.get_path_for_version(version)\n if system.path_exists(wine_path):\n return wine_path\n\n if fallback:\n # Fallback to default version\n default_version = get_default_version()\n wine_path = self.get_path_for_version(default_version)\n if wine_path:\n # Update the version in the config\n if version == self.runner_config.get(\"version\"):\n self.runner_config[\"version\"] = default_version\n # TODO: runner_config is a dict so we have to instanciate a\n # LutrisConfig object to save it.\n # XXX: The version key could be either in the game specific\n # config or the runner specific config. We need to know\n # which one to get the correct LutrisConfig object.\n return wine_path\n\n def is_installed(self, version=None, fallback=True, min_version=None):\n \"\"\"Check if Wine is installed.\n If no version is passed, checks if any version of wine is available\n \"\"\"\n if version:\n return system.path_exists(self.get_executable(version, fallback))\n\n wine_versions = get_wine_versions()\n if min_version:\n min_version_list, _, _ = parse_version(min_version)\n for wine_version in wine_versions:\n version_list, _, _ = parse_version(wine_version)\n if version_list > min_version_list:\n return True\n logger.warning(\"Wine %s or higher not found\", min_version)\n return bool(wine_versions)\n\n @classmethod\n def msi_exec(\n cls,\n msi_file,\n quiet=False,\n prefix=None,\n wine_path=None,\n working_dir=None,\n blocking=False,\n ):\n msi_args = \"/i %s\" % msi_file\n if quiet:\n msi_args += \" /q\"\n return wineexec(\n \"msiexec\",\n args=msi_args,\n prefix=prefix,\n wine_path=wine_path,\n working_dir=working_dir,\n blocking=blocking,\n )\n\n def _run_executable(self, executable):\n \"\"\"Runs a Windows executable using this game's configuration\"\"\"\n wineexec(\n executable,\n wine_path=self.get_executable(),\n prefix=self.prefix_path,\n working_dir=self.prefix_path,\n config=self,\n env=self.get_env(os_env=True),\n )\n\n def run_wineexec(self, *args):\n \"\"\"Ask the user for an arbitrary exe file to run in the game's prefix\"\"\"\n dlg = FileDialog(_(\"Select an EXE or MSI file\"), default_path=self.game_path)\n filename = dlg.filename\n if not filename:\n return\n self.prelaunch()\n self._run_executable(filename)\n\n def run_wineconsole(self, *args):\n \"\"\"Runs wineconsole inside wine prefix.\"\"\"\n self.prelaunch()\n self._run_executable(\"wineconsole\")\n\n def run_winecfg(self, *args):\n \"\"\"Run winecfg in the current context\"\"\"\n self.prelaunch()\n winecfg(\n wine_path=self.get_executable(),\n prefix=self.prefix_path,\n arch=self.wine_arch,\n config=self,\n env=self.get_env(os_env=True),\n )\n\n def run_regedit(self, *args):\n \"\"\"Run regedit in the current context\"\"\"\n self.prelaunch()\n self._run_executable(\"regedit\")\n\n def run_wine_terminal(self, *args):\n terminal = self.system_config.get(\"terminal_app\")\n open_wine_terminal(\n terminal=terminal,\n wine_path=self.get_executable(),\n prefix=self.prefix_path,\n env=self.get_env(os_env=True)\n )\n\n def run_winetricks(self, *args):\n \"\"\"Run winetricks in the current context\"\"\"\n self.prelaunch()\n winetricks(\n \"\", prefix=self.prefix_path, wine_path=self.get_executable(), config=self, env=self.get_env(os_env=True)\n )\n\n def run_winecpl(self, *args):\n \"\"\"Execute Wine control panel.\"\"\"\n self.prelaunch()\n self._run_executable(\"control\")\n\n def run_winekill(self, *args):\n \"\"\"Runs wineserver -k.\"\"\"\n winekill(\n self.prefix_path,\n arch=self.wine_arch,\n wine_path=self.get_executable(),\n env=self.get_env(),\n initial_pids=self.get_pids(),\n )\n return True\n\n def set_regedit_keys(self):\n \"\"\"Reset regedit keys according to config.\"\"\"\n prefix_manager = WinePrefixManager(self.prefix_path)\n # Those options are directly changed with the prefix manager and skip\n # any calls to regedit.\n managed_keys = {\n \"ShowCrashDialog\": prefix_manager.set_crash_dialogs,\n \"Desktop\": prefix_manager.set_virtual_desktop,\n \"WineDesktop\": prefix_manager.set_desktop_size,\n }\n\n for key, path in self.reg_keys.items():\n value = self.runner_config.get(key) or \"auto\"\n if not value or value == \"auto\" and key not in managed_keys:\n prefix_manager.clear_registry_subkeys(path, key)\n elif key in self.runner_config:\n if key in managed_keys:\n # Do not pass fallback 'auto' value to managed keys\n if value == \"auto\":\n value = None\n managed_keys[key](value)\n continue\n # Convert numeric strings to integers so they are saved as dword\n if value.isdigit():\n value = int(value)\n\n prefix_manager.set_registry_key(path, key, value)\n\n # We always configure the DPI, because if the user turns off DPI scaling, but it\n # had been on the only way to implement that is to save 96 DPI into the registry.\n prefix_manager.set_dpi(self.get_dpi())\n\n def get_dpi(self):\n \"\"\"Return the DPI to be used by Wine; returns 96 to disable scaling,\n as this is Window's unscaled default DPI.\"\"\"\n if bool(self.runner_config.get(\"Dpi\")):\n explicit_dpi = self.runner_config.get(\"ExplicitDpi\")\n if explicit_dpi == \"auto\":\n explicit_dpi = None\n try:\n explicit_dpi = int(explicit_dpi)\n except ValueError:\n explicit_dpi = None\n return explicit_dpi or get_default_dpi()\n\n return 96\n\n def setup_dlls(self, manager_class, enable, version):\n \"\"\"Enable or disable DLLs\"\"\"\n dll_manager = manager_class(\n self.prefix_path,\n arch=self.wine_arch,\n version=version,\n )\n\n # manual version only sets the dlls to native\n manager_version = dll_manager.version\n if not manager_version or manager_version.lower() != \"manual\":\n if enable:\n dll_manager.enable()\n else:\n dll_manager.disable()\n\n if enable:\n for dll in dll_manager.managed_dlls:\n # We have to make sure that the dll exists before setting it to native\n if dll_manager.dll_exists(dll):\n self.dll_overrides[dll] = \"n\"\n\n def prelaunch(self):\n if not system.path_exists(os.path.join(self.prefix_path, \"user.reg\")):\n logger.warning(\"No valid prefix detected in %s, creating one...\", self.prefix_path)\n create_prefix(self.prefix_path, wine_path=self.get_executable(), arch=self.wine_arch)\n\n prefix_manager = WinePrefixManager(self.prefix_path)\n if self.runner_config.get(\"autoconf_joypad\", False):\n prefix_manager.configure_joypads()\n self.sandbox(prefix_manager)\n self.set_regedit_keys()\n\n self.setup_dlls(\n DXVKManager,\n bool(self.runner_config.get(\"dxvk\")),\n self.runner_config.get(\"dxvk_version\")\n )\n self.setup_dlls(\n VKD3DManager,\n bool(self.runner_config.get(\"vkd3d\")),\n self.runner_config.get(\"vkd3d_version\")\n )\n self.setup_dlls(\n DXVKNVAPIManager,\n bool(self.runner_config.get(\"dxvk_nvapi\")),\n self.runner_config.get(\"dxvk_nvapi_version\")\n )\n self.setup_dlls(\n D3DExtrasManager,\n bool(self.runner_config.get(\"d3d_extras\")),\n self.runner_config.get(\"d3d_extras_version\")\n )\n self.setup_dlls(\n dgvoodoo2Manager,\n bool(self.runner_config.get(\"dgvoodoo2\")),\n self.runner_config.get(\"dgvoodoo2_version\")\n )\n return True\n\n def get_dll_overrides(self):\n \"\"\"Return the DLLs overriden at runtime\"\"\"\n try:\n overrides = self.runner_config[\"overrides\"]\n except KeyError:\n overrides = {}\n if not isinstance(overrides, dict):\n logger.warning(\"DLL overrides is not a mapping: %s\", overrides)\n overrides = {}\n return overrides\n\n def get_env(self, os_env=False):\n \"\"\"Return environment variables used by the game\"\"\"\n # Always false to runner.get_env, the default value\n # of os_env is inverted in the wine class,\n # the OS env is read later.\n env = super().get_env(False)\n if os_env:\n env.update(os.environ.copy())\n show_debug = self.runner_config.get(\"show_debug\", \"-all\")\n if show_debug != \"inherit\":\n env[\"WINEDEBUG\"] = show_debug\n if show_debug == \"-all\":\n env[\"DXVK_LOG_LEVEL\"] = \"none\"\n env[\"WINEARCH\"] = self.wine_arch\n env[\"WINE\"] = self.get_executable()\n env[\"WINE_MONO_CACHE_DIR\"] = os.path.join(WINE_DIR, self.get_version(), \"mono\")\n env[\"WINE_GECKO_CACHE_DIR\"] = os.path.join(WINE_DIR, self.get_version(), \"gecko\")\n if is_gstreamer_build(self.get_executable()):\n path_64 = os.path.join(WINE_DIR, self.get_version(), \"lib64/gstreamer-1.0/\")\n path_32 = os.path.join(WINE_DIR, self.get_version(), \"lib/gstreamer-1.0/\")\n if os.path.exists(path_64) or os.path.exists(path_32):\n env[\"GST_PLUGIN_SYSTEM_PATH_1_0\"] = path_64 + \":\" + path_32\n if self.prefix_path:\n env[\"WINEPREFIX\"] = self.prefix_path\n\n if not (\"WINEESYNC\" in env and env[\"WINEESYNC\"] == \"1\"):\n env[\"WINEESYNC\"] = \"1\" if self.runner_config.get(\"esync\") else \"0\"\n\n if not (\"WINEFSYNC\" in env and env[\"WINEFSYNC\"] == \"1\"):\n env[\"WINEFSYNC\"] = \"1\" if self.runner_config.get(\"fsync\") else \"0\"\n\n if self.runner_config.get(\"fsr\"):\n env[\"WINE_FULLSCREEN_FSR\"] = \"1\"\n\n if self.runner_config.get(\"dxvk_nvapi\"):\n env[\"DXVK_NVAPIHACK\"] = \"0\"\n env[\"DXVK_ENABLE_NVAPI\"] = \"1\"\n\n if self.runner_config.get(\"battleye\"):\n env[\"PROTON_BATTLEYE_RUNTIME\"] = os.path.join(settings.RUNTIME_DIR, \"battleye_runtime\")\n\n if self.runner_config.get(\"eac\"):\n env[\"PROTON_EAC_RUNTIME\"] = os.path.join(settings.RUNTIME_DIR, \"eac_runtime\")\n\n overrides = self.get_dll_overrides()\n if overrides:\n self.dll_overrides.update(overrides)\n env[\"WINEDLLOVERRIDES\"] = get_overrides_env(self.dll_overrides)\n return env\n\n def get_runtime_env(self):\n \"\"\"Return runtime environment variables with path to wine for Lutris builds\"\"\"\n wine_path = self.get_executable()\n wine_root = None\n if WINE_DIR:\n wine_root = os.path.dirname(os.path.dirname(wine_path))\n for proton_path in get_proton_paths():\n if proton_path in wine_path:\n wine_root = os.path.dirname(os.path.dirname(wine_path))\n return runtime.get_env(\n version=\"Ubuntu-18.04\",\n prefer_system_libs=self.system_config.get(\"prefer_system_libs\", True),\n wine_path=wine_root,\n )\n\n def get_pids(self, wine_path=None):\n \"\"\"Return a list of pids of processes using the current wine exe.\"\"\"\n if wine_path:\n exe = wine_path\n else:\n exe = self.get_executable()\n if not exe.startswith(\"/\"):\n exe = system.find_executable(exe)\n pids = system.get_pids_using_file(exe)\n if self.wine_arch == \"win64\" and os.path.basename(exe) == \"wine\":\n pids = pids | system.get_pids_using_file(exe + \"64\")\n\n # Add wineserver PIDs to the mix (at least one occurence of fuser not\n # picking the games's PID from wine/wine64 but from wineserver for some\n # unknown reason.\n pids = pids | system.get_pids_using_file(os.path.join(os.path.dirname(exe), \"wineserver\"))\n return pids\n\n def sandbox(self, wine_prefix):\n if self.runner_config.get(\"sandbox\", True):\n wine_prefix.desktop_integration(desktop_dir=self.runner_config.get(\"sandbox_dir\"))\n else:\n wine_prefix.desktop_integration(restore=True)\n\n def play(self): # pylint: disable=too-many-return-statements # noqa: C901\n game_exe = self.game_exe\n arguments = self.game_config.get(\"args\", \"\")\n launch_info = {\"env\": self.get_env(os_env=False)}\n using_dxvk = self.runner_config.get(\"dxvk\")\n\n if using_dxvk:\n # Set this to 1 to enable access to more RAM for 32bit applications\n launch_info[\"env\"][\"WINE_LARGE_ADDRESS_AWARE\"] = \"1\"\n if not is_vulkan_supported():\n if not display_vulkan_error(True):\n return {\"error\": \"VULKAN_NOT_FOUND\"}\n\n if not game_exe or not system.path_exists(game_exe):\n return {\"error\": \"FILE_NOT_FOUND\", \"file\": game_exe}\n\n if launch_info[\"env\"].get(\"WINEESYNC\") == \"1\":\n limit_set = is_esync_limit_set()\n wine_ver = is_version_esync(self.get_executable())\n\n if not limit_set and not wine_ver:\n esync_display_version_warning(True)\n esync_display_limit_warning()\n return {\"error\": \"ESYNC_LIMIT_NOT_SET\"}\n if not is_esync_limit_set():\n esync_display_limit_warning()\n return {\"error\": \"ESYNC_LIMIT_NOT_SET\"}\n if not wine_ver:\n if not esync_display_version_warning(True):\n return {\"error\": \"NON_ESYNC_WINE_VERSION\"}\n\n if launch_info[\"env\"].get(\"WINEFSYNC\") == \"1\":\n fsync_supported = is_fsync_supported()\n wine_ver = is_version_fsync(self.get_executable())\n\n if not fsync_supported and not wine_ver:\n fsync_display_version_warning(True)\n fsync_display_support_warning()\n return {\"error\": \"FSYNC_NOT_SUPPORTED\"}\n if not fsync_supported:\n fsync_display_support_warning()\n return {\"error\": \"FSYNC_NOT_SUPPORTED\"}\n if not wine_ver:\n if not fsync_display_version_warning(True):\n return {\"error\": \"NON_FSYNC_WINE_VERSION\"}\n\n command = [self.get_executable()]\n\n game_exe, args, _working_dir = get_real_executable(game_exe, self.working_dir)\n command.append(game_exe)\n if args:\n command = command + args\n\n if arguments:\n for arg in split_arguments(arguments):\n command.append(arg)\n launch_info[\"command\"] = command\n return launch_info\n\n def force_stop_game(self, game):\n \"\"\"Kill WINE with kindness, or at least with -k. This seems to leave a process\n alive for some reason, but the caller will detect this and SIGKILL it.\"\"\"\n self.run_winekill()\n\n @staticmethod\n def parse_wine_path(path, prefix_path=None):\n \"\"\"Take a Windows path, return the corresponding Linux path.\"\"\"\n if not prefix_path:\n prefix_path = os.path.expanduser(\"~/.wine\")\n\n path = path.replace(\"\\\\\\\\\", \"/\").replace(\"\\\\\", \"/\")\n\n if path[1] == \":\": # absolute path\n drive = os.path.join(prefix_path, \"dosdevices\", path[:2].lower())\n if os.path.islink(drive): # Try to resolve the path\n drive = os.readlink(drive)\n return os.path.join(drive, path[3:])\n\n if path[0] == \"/\": # drive-relative path. C is as good a guess as any..\n return os.path.join(prefix_path, \"drive_c\", path[1:])\n\n # Relative path\n return path\n","path":"lutris/runners/wine.py"}],"string":"[\n {\n \"content\": \"\\\"\\\"\\\"Wine runner\\\"\\\"\\\"\\n# pylint: disable=too-many-lines\\nimport os\\nimport shlex\\nfrom gettext import gettext as _\\n\\nfrom lutris import runtime, settings\\nfrom lutris.gui.dialogs import FileDialog\\nfrom lutris.runners.commands.wine import ( # noqa: F401 pylint: disable=unused-import\\n create_prefix, delete_registry_key, eject_disc, install_cab_component, open_wine_terminal, set_regedit,\\n set_regedit_file, winecfg, wineexec, winekill, winetricks\\n)\\nfrom lutris.runners.runner import Runner\\nfrom lutris.util import system\\nfrom lutris.util.display import DISPLAY_MANAGER, get_default_dpi\\nfrom lutris.util.graphics.vkquery import is_vulkan_supported\\nfrom lutris.util.jobs import thread_safe_call\\nfrom lutris.util.log import logger\\nfrom lutris.util.strings import parse_version, split_arguments\\nfrom lutris.util.wine.d3d_extras import D3DExtrasManager\\nfrom lutris.util.wine.dgvoodoo2 import dgvoodoo2Manager\\nfrom lutris.util.wine.dxvk import DXVKManager\\nfrom lutris.util.wine.dxvk_nvapi import DXVKNVAPIManager\\nfrom lutris.util.wine.prefix import DEFAULT_DLL_OVERRIDES, WinePrefixManager, find_prefix\\nfrom lutris.util.wine.vkd3d import VKD3DManager\\nfrom lutris.util.wine.wine import (\\n POL_PATH, WINE_DIR, WINE_PATHS, detect_arch, display_vulkan_error, esync_display_limit_warning,\\n esync_display_version_warning, fsync_display_support_warning, fsync_display_version_warning, get_default_version,\\n get_overrides_env, get_proton_paths, get_real_executable, get_wine_version, get_wine_versions, is_esync_limit_set,\\n is_fsync_supported, is_gstreamer_build, is_version_esync, is_version_fsync\\n)\\n\\nDEFAULT_WINE_PREFIX = \\\"~/.wine\\\"\\nMIN_SAFE_VERSION = \\\"7.0\\\" # Wine installers must run with at least this version\\n\\n\\nclass wine(Runner):\\n description = _(\\\"Runs Windows games\\\")\\n human_name = _(\\\"Wine\\\")\\n platforms = [_(\\\"Windows\\\")]\\n multiple_versions = True\\n entry_point_option = \\\"exe\\\"\\n\\n game_options = [\\n {\\n \\\"option\\\": \\\"exe\\\",\\n \\\"type\\\": \\\"file\\\",\\n \\\"label\\\": _(\\\"Executable\\\"),\\n \\\"help\\\": _(\\\"The game's main EXE file\\\"),\\n },\\n {\\n \\\"option\\\": \\\"args\\\",\\n \\\"type\\\": \\\"string\\\",\\n \\\"label\\\": _(\\\"Arguments\\\"),\\n \\\"help\\\": _(\\\"Windows command line arguments used when launching the game\\\"),\\n \\\"validator\\\": shlex.split\\n },\\n {\\n \\\"option\\\": \\\"working_dir\\\",\\n \\\"type\\\": \\\"directory_chooser\\\",\\n \\\"label\\\": _(\\\"Working directory\\\"),\\n \\\"help\\\": _(\\n \\\"The location where the game is run from.\\\\n\\\"\\n \\\"By default, Lutris uses the directory of the \\\"\\n \\\"executable.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"prefix\\\",\\n \\\"type\\\": \\\"directory_chooser\\\",\\n \\\"label\\\": _(\\\"Wine prefix\\\"),\\n \\\"help\\\": _(\\n 'The prefix used by Wine.\\\\n'\\n \\\"It's a directory containing a set of files and \\\"\\n \\\"folders making up a confined Windows environment.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"arch\\\",\\n \\\"type\\\": \\\"choice\\\",\\n \\\"label\\\": _(\\\"Prefix architecture\\\"),\\n \\\"choices\\\": [(_(\\\"Auto\\\"), \\\"auto\\\"), (_(\\\"32-bit\\\"), \\\"win32\\\"), (_(\\\"64-bit\\\"), \\\"win64\\\")],\\n \\\"default\\\": \\\"auto\\\",\\n \\\"help\\\": _(\\\"The architecture of the Windows environment\\\"),\\n },\\n ]\\n\\n reg_prefix = \\\"HKEY_CURRENT_USER/Software/Wine\\\"\\n reg_keys = {\\n \\\"Audio\\\": r\\\"%s/Drivers\\\" % reg_prefix,\\n \\\"MouseWarpOverride\\\": r\\\"%s/DirectInput\\\" % reg_prefix,\\n \\\"Desktop\\\": \\\"MANAGED\\\",\\n \\\"WineDesktop\\\": \\\"MANAGED\\\",\\n \\\"ShowCrashDialog\\\": \\\"MANAGED\\\"\\n }\\n\\n core_processes = (\\n \\\"services.exe\\\",\\n \\\"winedevice.exe\\\",\\n \\\"plugplay.exe\\\",\\n \\\"explorer.exe\\\",\\n \\\"rpcss.exe\\\",\\n \\\"rundll32.exe\\\",\\n \\\"wineboot.exe\\\",\\n )\\n\\n def __init__(self, config=None): # noqa: C901\\n super().__init__(config)\\n self.dll_overrides = DEFAULT_DLL_OVERRIDES.copy() # we'll modify this, so we better copy it\\n\\n def get_wine_version_choices():\\n version_choices = [(_(\\\"Custom (select executable below)\\\"), \\\"custom\\\")]\\n labels = {\\n \\\"winehq-devel\\\": _(\\\"WineHQ Devel ({})\\\"),\\n \\\"winehq-staging\\\": _(\\\"WineHQ Staging ({})\\\"),\\n \\\"wine-development\\\": _(\\\"Wine Development ({})\\\"),\\n \\\"system\\\": _(\\\"System ({})\\\"),\\n }\\n versions = get_wine_versions()\\n for version in versions:\\n if version in labels:\\n version_number = get_wine_version(WINE_PATHS[version])\\n label = labels[version].format(version_number)\\n else:\\n label = version\\n version_choices.append((label, version))\\n return version_choices\\n\\n def esync_limit_callback(widget, option, config):\\n limits_set = is_esync_limit_set()\\n wine_path = self.get_path_for_version(config[\\\"version\\\"])\\n wine_ver = is_version_esync(wine_path)\\n response = True\\n\\n if not wine_ver:\\n response = thread_safe_call(esync_display_version_warning)\\n\\n if not limits_set:\\n thread_safe_call(esync_display_limit_warning)\\n response = False\\n\\n return widget, option, response\\n\\n def fsync_support_callback(widget, option, config):\\n fsync_supported = is_fsync_supported()\\n wine_path = self.get_path_for_version(config[\\\"version\\\"])\\n wine_ver = is_version_fsync(wine_path)\\n response = True\\n\\n if not wine_ver:\\n response = thread_safe_call(fsync_display_version_warning)\\n\\n if not fsync_supported:\\n thread_safe_call(fsync_display_support_warning)\\n response = False\\n\\n return widget, option, response\\n\\n def dxvk_vulkan_callback(widget, option, config):\\n response = True\\n if not is_vulkan_supported():\\n if not thread_safe_call(display_vulkan_error):\\n response = False\\n return widget, option, response\\n\\n self.runner_options = [\\n {\\n \\\"option\\\": \\\"version\\\",\\n \\\"label\\\": _(\\\"Wine version\\\"),\\n \\\"type\\\": \\\"choice\\\",\\n \\\"choices\\\": get_wine_version_choices,\\n \\\"default\\\": get_default_version(),\\n \\\"help\\\": _(\\n \\\"The version of Wine used to launch the game.\\\\n\\\"\\n \\\"Using the last version is generally recommended, \\\"\\n \\\"but some games work better on older versions.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"custom_wine_path\\\",\\n \\\"label\\\": _(\\\"Custom Wine executable\\\"),\\n \\\"type\\\": \\\"file\\\",\\n \\\"advanced\\\": True,\\n \\\"help\\\": _(\\\"The Wine executable to be used if you have \\\"\\n 'selected \\\"Custom\\\" as the Wine version.'),\\n },\\n {\\n \\\"option\\\": \\\"system_winetricks\\\",\\n \\\"label\\\": _(\\\"Use system winetricks\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": False,\\n \\\"advanced\\\": True,\\n \\\"help\\\": _(\\\"Switch on to use /usr/bin/winetricks for winetricks.\\\"),\\n },\\n {\\n \\\"option\\\": \\\"dxvk\\\",\\n \\\"label\\\": _(\\\"Enable DXVK\\\"),\\n \\\"type\\\": \\\"extended_bool\\\",\\n \\\"callback\\\": dxvk_vulkan_callback,\\n \\\"callback_on\\\": True,\\n \\\"default\\\": True,\\n \\\"active\\\": True,\\n \\\"help\\\": _(\\n \\\"Use DXVK to \\\"\\n \\\"increase compatibility and performance in Direct3D 11, 10 \\\"\\n \\\"and 9 applications by translating their calls to Vulkan.\\\"),\\n },\\n {\\n \\\"option\\\": \\\"dxvk_version\\\",\\n \\\"label\\\": _(\\\"DXVK version\\\"),\\n \\\"advanced\\\": True,\\n \\\"type\\\": \\\"choice_with_entry\\\",\\n \\\"choices\\\": DXVKManager().version_choices,\\n \\\"default\\\": DXVKManager().version,\\n },\\n\\n {\\n \\\"option\\\": \\\"vkd3d\\\",\\n \\\"label\\\": _(\\\"Enable VKD3D\\\"),\\n \\\"type\\\": \\\"extended_bool\\\",\\n \\\"callback\\\": dxvk_vulkan_callback,\\n \\\"callback_on\\\": True,\\n \\\"default\\\": True,\\n \\\"active\\\": True,\\n \\\"help\\\": _(\\n \\\"Use VKD3D to enable support for Direct3D 12 \\\"\\n \\\"applications by translating their calls to Vulkan.\\\"),\\n },\\n {\\n \\\"option\\\": \\\"vkd3d_version\\\",\\n \\\"label\\\": _(\\\"VKD3D version\\\"),\\n \\\"advanced\\\": True,\\n \\\"type\\\": \\\"choice_with_entry\\\",\\n \\\"choices\\\": VKD3DManager().version_choices,\\n \\\"default\\\": VKD3DManager().version,\\n },\\n {\\n \\\"option\\\": \\\"d3d_extras\\\",\\n \\\"label\\\": _(\\\"Enable D3D Extras\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": True,\\n \\\"advanced\\\": True,\\n \\\"help\\\": _(\\n \\\"Replace Wine's D3DX and D3DCOMPILER libraries with alternative ones. \\\"\\n \\\"Needed for proper functionality of DXVK with some games.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"d3d_extras_version\\\",\\n \\\"label\\\": _(\\\"D3D Extras version\\\"),\\n \\\"advanced\\\": True,\\n \\\"type\\\": \\\"choice_with_entry\\\",\\n \\\"choices\\\": D3DExtrasManager().version_choices,\\n \\\"default\\\": D3DExtrasManager().version,\\n },\\n {\\n \\\"option\\\": \\\"dxvk_nvapi\\\",\\n \\\"label\\\": _(\\\"Enable DXVK-NVAPI / DLSS\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": True,\\n \\\"advanced\\\": True,\\n \\\"help\\\": _(\\n \\\"Enable emulation of Nvidia's NVAPI and add DLSS support, if available.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"dxvk_nvapi_version\\\",\\n \\\"label\\\": _(\\\"DXVK NVAPI version\\\"),\\n \\\"advanced\\\": True,\\n \\\"type\\\": \\\"choice_with_entry\\\",\\n \\\"choices\\\": DXVKNVAPIManager().version_choices,\\n \\\"default\\\": DXVKNVAPIManager().version,\\n },\\n {\\n \\\"option\\\": \\\"dgvoodoo2\\\",\\n \\\"label\\\": _(\\\"Enable dgvoodoo2\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": False,\\n \\\"advanced\\\": False,\\n \\\"help\\\": _(\\n \\\"dgvoodoo2 is an alternative translation layer for rendering old games \\\"\\n \\\"that utilize D3D1-7 and Glide APIs. As it translates to D3D11, it's \\\"\\n \\\"recommended to use it in combination with DXVK. Only 32-bit apps are supported.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"dgvoodoo2_version\\\",\\n \\\"label\\\": _(\\\"dgvoodoo2 version\\\"),\\n \\\"advanced\\\": True,\\n \\\"type\\\": \\\"choice_with_entry\\\",\\n \\\"choices\\\": dgvoodoo2Manager().version_choices,\\n \\\"default\\\": dgvoodoo2Manager().version,\\n },\\n {\\n \\\"option\\\": \\\"esync\\\",\\n \\\"label\\\": _(\\\"Enable Esync\\\"),\\n \\\"type\\\": \\\"extended_bool\\\",\\n \\\"callback\\\": esync_limit_callback,\\n \\\"callback_on\\\": True,\\n \\\"active\\\": True,\\n \\\"default\\\": True,\\n \\\"help\\\": _(\\n \\\"Enable eventfd-based synchronization (esync). \\\"\\n \\\"This will increase performance in applications \\\"\\n \\\"that take advantage of multi-core processors.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"fsync\\\",\\n \\\"label\\\": _(\\\"Enable Fsync\\\"),\\n \\\"type\\\": \\\"extended_bool\\\",\\n \\\"default\\\": is_fsync_supported(),\\n \\\"callback\\\": fsync_support_callback,\\n \\\"callback_on\\\": True,\\n \\\"active\\\": True,\\n \\\"help\\\": _(\\n \\\"Enable futex-based synchronization (fsync). \\\"\\n \\\"This will increase performance in applications \\\"\\n \\\"that take advantage of multi-core processors. \\\"\\n \\\"Requires a custom kernel with the fsync patchset.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"fsr\\\",\\n \\\"label\\\": _(\\\"Enable AMD FidelityFX Super Resolution (FSR)\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": True,\\n \\\"help\\\": _(\\n \\\"Use FSR to upscale the game window to native resolution.\\\\n\\\"\\n \\\"Requires Lutris Wine FShack >= 6.13 and setting the game to a lower resolution.\\\\n\\\"\\n \\\"Does not work with games running in borderless window mode or that perform their own upscaling.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"battleye\\\",\\n \\\"label\\\": _(\\\"Enable BattlEye Anti-Cheat\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": True,\\n \\\"help\\\": _(\\n \\\"Enable support for BattlEye Anti-Cheat in supported games\\\\n\\\"\\n \\\"Requires Lutris Wine 6.21-2 and newer or any other compatible Wine build.\\\\n\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"eac\\\",\\n \\\"label\\\": _(\\\"Enable Easy Anti-Cheat\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": True,\\n \\\"help\\\": _(\\n \\\"Enable support for Easy Anti-Cheat in supported games\\\\n\\\"\\n \\\"Requires Lutris Wine 7.2 and newer or any other compatible Wine build.\\\\n\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"Desktop\\\",\\n \\\"label\\\": _(\\\"Windowed (virtual desktop)\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": False,\\n \\\"help\\\": _(\\n \\\"Run the whole Windows desktop in a window.\\\\n\\\"\\n \\\"Otherwise, run it fullscreen.\\\\n\\\"\\n \\\"This corresponds to Wine's Virtual Desktop option.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"WineDesktop\\\",\\n \\\"label\\\": _(\\\"Virtual desktop resolution\\\"),\\n \\\"type\\\": \\\"choice_with_entry\\\",\\n \\\"choices\\\": DISPLAY_MANAGER.get_resolutions,\\n \\\"help\\\": _(\\\"The size of the virtual desktop in pixels.\\\"),\\n },\\n {\\n \\\"option\\\": \\\"Dpi\\\",\\n \\\"label\\\": _(\\\"Enable DPI Scaling\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": False,\\n \\\"help\\\": _(\\n \\\"Enables the Windows application's DPI scaling.\\\\n\\\"\\n \\\"Otherwise, disables DPI scaling by using 96 DPI.\\\\n\\\"\\n \\\"This corresponds to Wine's Screen Resolution option.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"ExplicitDpi\\\",\\n \\\"label\\\": _(\\\"DPI\\\"),\\n \\\"type\\\": \\\"string\\\",\\n \\\"help\\\": _(\\n \\\"The DPI to be used if 'Enable DPI Scaling' is turned on.\\\\n\\\"\\n \\\"If blank or 'auto', Lutris will auto-detect this.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"MouseWarpOverride\\\",\\n \\\"label\\\": _(\\\"Mouse Warp Override\\\"),\\n \\\"type\\\": \\\"choice\\\",\\n \\\"choices\\\": [\\n (_(\\\"Enable\\\"), \\\"enable\\\"),\\n (_(\\\"Disable\\\"), \\\"disable\\\"),\\n (_(\\\"Force\\\"), \\\"force\\\"),\\n ],\\n \\\"default\\\": \\\"enable\\\",\\n \\\"advanced\\\": True,\\n \\\"help\\\": _(\\n \\\"Override the default mouse pointer warping behavior\\\\n\\\"\\n \\\"<b>Enable</b>: (Wine default) warp the pointer when the \\\"\\n \\\"mouse is exclusively acquired \\\\n\\\"\\n \\\"<b>Disable</b>: never warp the mouse pointer \\\\n\\\"\\n \\\"<b>Force</b>: always warp the pointer\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"Audio\\\",\\n \\\"label\\\": _(\\\"Audio driver\\\"),\\n \\\"type\\\": \\\"choice\\\",\\n \\\"advanced\\\": True,\\n \\\"choices\\\": [\\n (_(\\\"Auto\\\"), \\\"auto\\\"),\\n (\\\"ALSA\\\", \\\"alsa\\\"),\\n (\\\"PulseAudio\\\", \\\"pulse\\\"),\\n (\\\"OSS\\\", \\\"oss\\\"),\\n ],\\n \\\"default\\\": \\\"auto\\\",\\n \\\"help\\\": _(\\n \\\"Which audio backend to use.\\\\n\\\"\\n \\\"By default, Wine automatically picks the right one \\\"\\n \\\"for your system.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"overrides\\\",\\n \\\"type\\\": \\\"mapping\\\",\\n \\\"label\\\": _(\\\"DLL overrides\\\"),\\n \\\"help\\\": _(\\\"Sets WINEDLLOVERRIDES when launching the game.\\\"),\\n },\\n {\\n \\\"option\\\": \\\"show_debug\\\",\\n \\\"label\\\": _(\\\"Output debugging info\\\"),\\n \\\"type\\\": \\\"choice\\\",\\n \\\"choices\\\": [\\n (_(\\\"Disabled\\\"), \\\"-all\\\"),\\n (_(\\\"Enabled\\\"), \\\"\\\"),\\n (_(\\\"Inherit from environment\\\"), \\\"inherit\\\"),\\n (_(\\\"Show FPS\\\"), \\\"+fps\\\"),\\n (_(\\\"Full (CAUTION: Will cause MASSIVE slowdown)\\\"), \\\"+all\\\"),\\n ],\\n \\\"default\\\": \\\"-all\\\",\\n \\\"help\\\": _(\\\"Output debugging information in the game log \\\"\\n \\\"(might affect performance)\\\"),\\n },\\n {\\n \\\"option\\\": \\\"ShowCrashDialog\\\",\\n \\\"label\\\": _(\\\"Show crash dialogs\\\"),\\n \\\"type\\\": \\\"bool\\\",\\n \\\"default\\\": False,\\n \\\"advanced\\\": True,\\n },\\n {\\n \\\"option\\\": \\\"autoconf_joypad\\\",\\n \\\"type\\\": \\\"bool\\\",\\n \\\"label\\\": _(\\\"Autoconfigure joypads\\\"),\\n \\\"advanced\\\": True,\\n \\\"default\\\": False,\\n \\\"help\\\":\\n _(\\\"Automatically disables one of Wine's detected joypad \\\"\\n \\\"to avoid having 2 controllers detected\\\"),\\n },\\n {\\n \\\"option\\\": \\\"sandbox\\\",\\n \\\"type\\\": \\\"bool\\\",\\n \\\"label\\\": _(\\\"Create a sandbox for Wine folders\\\"),\\n \\\"default\\\": True,\\n \\\"advanced\\\": True,\\n \\\"help\\\": _(\\n \\\"Do not use $HOME for desktop integration folders.\\\\n\\\"\\n \\\"By default, it use the directories in the confined \\\"\\n \\\"Windows environment.\\\"\\n ),\\n },\\n {\\n \\\"option\\\": \\\"sandbox_dir\\\",\\n \\\"type\\\": \\\"directory_chooser\\\",\\n \\\"label\\\": _(\\\"Sandbox directory\\\"),\\n \\\"help\\\": _(\\\"Custom directory for desktop integration folders.\\\"),\\n \\\"advanced\\\": True,\\n },\\n ]\\n\\n @property\\n def context_menu_entries(self):\\n \\\"\\\"\\\"Return the contexual menu entries for wine\\\"\\\"\\\"\\n menu_entries = [(\\\"wineexec\\\", _(\\\"Run EXE inside Wine prefix\\\"), self.run_wineexec)]\\n if \\\"Proton\\\" not in self.get_version():\\n menu_entries.append((\\\"winecfg\\\", _(\\\"Wine configuration\\\"), self.run_winecfg))\\n menu_entries += [\\n (\\\"wineshell\\\", _(\\\"Open Bash terminal\\\"), self.run_wine_terminal),\\n (\\\"wineconsole\\\", _(\\\"Open Wine console\\\"), self.run_wineconsole),\\n (\\\"wine-regedit\\\", _(\\\"Wine registry\\\"), self.run_regedit),\\n (\\\"winetricks\\\", _(\\\"Winetricks\\\"), self.run_winetricks),\\n (\\\"winecpl\\\", _(\\\"Wine Control Panel\\\"), self.run_winecpl),\\n ]\\n return menu_entries\\n\\n @property\\n def prefix_path(self):\\n \\\"\\\"\\\"Return the absolute path of the Wine prefix\\\"\\\"\\\"\\n _prefix_path = self.game_config.get(\\\"prefix\\\") \\\\\\n or os.environ.get(\\\"WINEPREFIX\\\")\\n if not _prefix_path and self.game_config.get(\\\"exe\\\"):\\n # Find prefix from game if we have one\\n _prefix_path = find_prefix(self.game_exe)\\n if not _prefix_path:\\n _prefix_path = DEFAULT_WINE_PREFIX\\n return os.path.expanduser(_prefix_path)\\n\\n @property\\n def game_exe(self):\\n \\\"\\\"\\\"Return the game's executable's path, which may not exist. None\\n if there is no exe path defined.\\\"\\\"\\\"\\n exe = self.game_config.get(\\\"exe\\\")\\n if not exe:\\n logger.error(\\\"The game doesn't have an executable\\\")\\n return None\\n if os.path.isabs(exe):\\n return system.fix_path_case(exe)\\n if not self.game_path:\\n logger.warning(\\\"The game has an executable, but not a game path\\\")\\n return None\\n return system.fix_path_case(os.path.join(self.game_path, exe))\\n\\n @property\\n def working_dir(self):\\n \\\"\\\"\\\"Return the working directory to use when running the game.\\\"\\\"\\\"\\n option = self.game_config.get(\\\"working_dir\\\")\\n if option:\\n return option\\n if self.game_exe:\\n game_dir = os.path.dirname(self.game_exe)\\n if os.path.isdir(game_dir):\\n return game_dir\\n return super().working_dir\\n\\n @property\\n def nvidia_shader_cache_path(self):\\n \\\"\\\"\\\"WINE should give each game its own shader cache if possible.\\\"\\\"\\\"\\n return self.game_path or self.shader_cache_dir\\n\\n @property\\n def wine_arch(self):\\n \\\"\\\"\\\"Return the wine architecture.\\n\\n Get it from the config or detect it from the prefix\\\"\\\"\\\"\\n arch = self.game_config.get(\\\"arch\\\") or \\\"auto\\\"\\n if arch not in (\\\"win32\\\", \\\"win64\\\"):\\n arch = detect_arch(self.prefix_path, self.get_executable())\\n return arch\\n\\n def get_version(self, use_default=True):\\n \\\"\\\"\\\"Return the Wine version to use. use_default can be set to false to\\n force the installation of a specific wine version\\\"\\\"\\\"\\n runner_version = self.runner_config.get(\\\"version\\\")\\n if runner_version:\\n return runner_version\\n if use_default:\\n return get_default_version()\\n\\n def get_path_for_version(self, version):\\n \\\"\\\"\\\"Return the absolute path of a wine executable for a given version\\\"\\\"\\\"\\n if version in WINE_PATHS:\\n return system.find_executable(WINE_PATHS[version])\\n if \\\"Proton\\\" in version:\\n for proton_path in get_proton_paths():\\n if os.path.isfile(os.path.join(proton_path, version, \\\"dist/bin/wine\\\")):\\n return os.path.join(proton_path, version, \\\"dist/bin/wine\\\")\\n if version.startswith(\\\"PlayOnLinux\\\"):\\n version, arch = version.split()[1].rsplit(\\\"-\\\", 1)\\n return os.path.join(POL_PATH, \\\"wine\\\", \\\"linux-\\\" + arch, version, \\\"bin/wine\\\")\\n if version == \\\"custom\\\":\\n return self.runner_config.get(\\\"custom_wine_path\\\", \\\"\\\")\\n return os.path.join(WINE_DIR, version, \\\"bin/wine\\\")\\n\\n def get_executable(self, version=None, fallback=True):\\n \\\"\\\"\\\"Return the path to the Wine executable.\\n A specific version can be specified if needed.\\n \\\"\\\"\\\"\\n if version is None:\\n version = self.get_version()\\n if not version:\\n return\\n\\n wine_path = self.get_path_for_version(version)\\n if system.path_exists(wine_path):\\n return wine_path\\n\\n if fallback:\\n # Fallback to default version\\n default_version = get_default_version()\\n wine_path = self.get_path_for_version(default_version)\\n if wine_path:\\n # Update the version in the config\\n if version == self.runner_config.get(\\\"version\\\"):\\n self.runner_config[\\\"version\\\"] = default_version\\n # TODO: runner_config is a dict so we have to instanciate a\\n # LutrisConfig object to save it.\\n # XXX: The version key could be either in the game specific\\n # config or the runner specific config. We need to know\\n # which one to get the correct LutrisConfig object.\\n return wine_path\\n\\n def is_installed(self, version=None, fallback=True, min_version=None):\\n \\\"\\\"\\\"Check if Wine is installed.\\n If no version is passed, checks if any version of wine is available\\n \\\"\\\"\\\"\\n if version:\\n return system.path_exists(self.get_executable(version, fallback))\\n\\n wine_versions = get_wine_versions()\\n if min_version:\\n min_version_list, _, _ = parse_version(min_version)\\n for wine_version in wine_versions:\\n version_list, _, _ = parse_version(wine_version)\\n if version_list > min_version_list:\\n return True\\n logger.warning(\\\"Wine %s or higher not found\\\", min_version)\\n return bool(wine_versions)\\n\\n @classmethod\\n def msi_exec(\\n cls,\\n msi_file,\\n quiet=False,\\n prefix=None,\\n wine_path=None,\\n working_dir=None,\\n blocking=False,\\n ):\\n msi_args = \\\"/i %s\\\" % msi_file\\n if quiet:\\n msi_args += \\\" /q\\\"\\n return wineexec(\\n \\\"msiexec\\\",\\n args=msi_args,\\n prefix=prefix,\\n wine_path=wine_path,\\n working_dir=working_dir,\\n blocking=blocking,\\n )\\n\\n def _run_executable(self, executable):\\n \\\"\\\"\\\"Runs a Windows executable using this game's configuration\\\"\\\"\\\"\\n wineexec(\\n executable,\\n wine_path=self.get_executable(),\\n prefix=self.prefix_path,\\n working_dir=self.prefix_path,\\n config=self,\\n env=self.get_env(os_env=True),\\n )\\n\\n def run_wineexec(self, *args):\\n \\\"\\\"\\\"Ask the user for an arbitrary exe file to run in the game's prefix\\\"\\\"\\\"\\n dlg = FileDialog(_(\\\"Select an EXE or MSI file\\\"), default_path=self.game_path)\\n filename = dlg.filename\\n if not filename:\\n return\\n self.prelaunch()\\n self._run_executable(filename)\\n\\n def run_wineconsole(self, *args):\\n \\\"\\\"\\\"Runs wineconsole inside wine prefix.\\\"\\\"\\\"\\n self.prelaunch()\\n self._run_executable(\\\"wineconsole\\\")\\n\\n def run_winecfg(self, *args):\\n \\\"\\\"\\\"Run winecfg in the current context\\\"\\\"\\\"\\n self.prelaunch()\\n winecfg(\\n wine_path=self.get_executable(),\\n prefix=self.prefix_path,\\n arch=self.wine_arch,\\n config=self,\\n env=self.get_env(os_env=True),\\n )\\n\\n def run_regedit(self, *args):\\n \\\"\\\"\\\"Run regedit in the current context\\\"\\\"\\\"\\n self.prelaunch()\\n self._run_executable(\\\"regedit\\\")\\n\\n def run_wine_terminal(self, *args):\\n terminal = self.system_config.get(\\\"terminal_app\\\")\\n open_wine_terminal(\\n terminal=terminal,\\n wine_path=self.get_executable(),\\n prefix=self.prefix_path,\\n env=self.get_env(os_env=True)\\n )\\n\\n def run_winetricks(self, *args):\\n \\\"\\\"\\\"Run winetricks in the current context\\\"\\\"\\\"\\n self.prelaunch()\\n winetricks(\\n \\\"\\\", prefix=self.prefix_path, wine_path=self.get_executable(), config=self, env=self.get_env(os_env=True)\\n )\\n\\n def run_winecpl(self, *args):\\n \\\"\\\"\\\"Execute Wine control panel.\\\"\\\"\\\"\\n self.prelaunch()\\n self._run_executable(\\\"control\\\")\\n\\n def run_winekill(self, *args):\\n \\\"\\\"\\\"Runs wineserver -k.\\\"\\\"\\\"\\n winekill(\\n self.prefix_path,\\n arch=self.wine_arch,\\n wine_path=self.get_executable(),\\n env=self.get_env(),\\n initial_pids=self.get_pids(),\\n )\\n return True\\n\\n def set_regedit_keys(self):\\n \\\"\\\"\\\"Reset regedit keys according to config.\\\"\\\"\\\"\\n prefix_manager = WinePrefixManager(self.prefix_path)\\n # Those options are directly changed with the prefix manager and skip\\n # any calls to regedit.\\n managed_keys = {\\n \\\"ShowCrashDialog\\\": prefix_manager.set_crash_dialogs,\\n \\\"Desktop\\\": prefix_manager.set_virtual_desktop,\\n \\\"WineDesktop\\\": prefix_manager.set_desktop_size,\\n }\\n\\n for key, path in self.reg_keys.items():\\n value = self.runner_config.get(key) or \\\"auto\\\"\\n if not value or value == \\\"auto\\\" and key not in managed_keys:\\n prefix_manager.clear_registry_subkeys(path, key)\\n elif key in self.runner_config:\\n if key in managed_keys:\\n # Do not pass fallback 'auto' value to managed keys\\n if value == \\\"auto\\\":\\n value = None\\n managed_keys[key](value)\\n continue\\n # Convert numeric strings to integers so they are saved as dword\\n if value.isdigit():\\n value = int(value)\\n\\n prefix_manager.set_registry_key(path, key, value)\\n\\n # We always configure the DPI, because if the user turns off DPI scaling, but it\\n # had been on the only way to implement that is to save 96 DPI into the registry.\\n prefix_manager.set_dpi(self.get_dpi())\\n\\n def get_dpi(self):\\n \\\"\\\"\\\"Return the DPI to be used by Wine; returns 96 to disable scaling,\\n as this is Window's unscaled default DPI.\\\"\\\"\\\"\\n if bool(self.runner_config.get(\\\"Dpi\\\")):\\n explicit_dpi = self.runner_config.get(\\\"ExplicitDpi\\\")\\n if explicit_dpi == \\\"auto\\\":\\n explicit_dpi = None\\n try:\\n explicit_dpi = int(explicit_dpi)\\n except ValueError:\\n explicit_dpi = None\\n return explicit_dpi or get_default_dpi()\\n\\n return 96\\n\\n def setup_dlls(self, manager_class, enable, version):\\n \\\"\\\"\\\"Enable or disable DLLs\\\"\\\"\\\"\\n dll_manager = manager_class(\\n self.prefix_path,\\n arch=self.wine_arch,\\n version=version,\\n )\\n\\n # manual version only sets the dlls to native\\n manager_version = dll_manager.version\\n if not manager_version or manager_version.lower() != \\\"manual\\\":\\n if enable:\\n dll_manager.enable()\\n else:\\n dll_manager.disable()\\n\\n if enable:\\n for dll in dll_manager.managed_dlls:\\n # We have to make sure that the dll exists before setting it to native\\n if dll_manager.dll_exists(dll):\\n self.dll_overrides[dll] = \\\"n\\\"\\n\\n def prelaunch(self):\\n if not system.path_exists(os.path.join(self.prefix_path, \\\"user.reg\\\")):\\n logger.warning(\\\"No valid prefix detected in %s, creating one...\\\", self.prefix_path)\\n create_prefix(self.prefix_path, wine_path=self.get_executable(), arch=self.wine_arch)\\n\\n prefix_manager = WinePrefixManager(self.prefix_path)\\n if self.runner_config.get(\\\"autoconf_joypad\\\", False):\\n prefix_manager.configure_joypads()\\n self.sandbox(prefix_manager)\\n self.set_regedit_keys()\\n\\n self.setup_dlls(\\n DXVKManager,\\n bool(self.runner_config.get(\\\"dxvk\\\")),\\n self.runner_config.get(\\\"dxvk_version\\\")\\n )\\n self.setup_dlls(\\n VKD3DManager,\\n bool(self.runner_config.get(\\\"vkd3d\\\")),\\n self.runner_config.get(\\\"vkd3d_version\\\")\\n )\\n self.setup_dlls(\\n DXVKNVAPIManager,\\n bool(self.runner_config.get(\\\"dxvk_nvapi\\\")),\\n self.runner_config.get(\\\"dxvk_nvapi_version\\\")\\n )\\n self.setup_dlls(\\n D3DExtrasManager,\\n bool(self.runner_config.get(\\\"d3d_extras\\\")),\\n self.runner_config.get(\\\"d3d_extras_version\\\")\\n )\\n self.setup_dlls(\\n dgvoodoo2Manager,\\n bool(self.runner_config.get(\\\"dgvoodoo2\\\")),\\n self.runner_config.get(\\\"dgvoodoo2_version\\\")\\n )\\n return True\\n\\n def get_dll_overrides(self):\\n \\\"\\\"\\\"Return the DLLs overriden at runtime\\\"\\\"\\\"\\n try:\\n overrides = self.runner_config[\\\"overrides\\\"]\\n except KeyError:\\n overrides = {}\\n if not isinstance(overrides, dict):\\n logger.warning(\\\"DLL overrides is not a mapping: %s\\\", overrides)\\n overrides = {}\\n return overrides\\n\\n def get_env(self, os_env=False):\\n \\\"\\\"\\\"Return environment variables used by the game\\\"\\\"\\\"\\n # Always false to runner.get_env, the default value\\n # of os_env is inverted in the wine class,\\n # the OS env is read later.\\n env = super().get_env(False)\\n if os_env:\\n env.update(os.environ.copy())\\n show_debug = self.runner_config.get(\\\"show_debug\\\", \\\"-all\\\")\\n if show_debug != \\\"inherit\\\":\\n env[\\\"WINEDEBUG\\\"] = show_debug\\n if show_debug == \\\"-all\\\":\\n env[\\\"DXVK_LOG_LEVEL\\\"] = \\\"none\\\"\\n env[\\\"WINEARCH\\\"] = self.wine_arch\\n env[\\\"WINE\\\"] = self.get_executable()\\n env[\\\"WINE_MONO_CACHE_DIR\\\"] = os.path.join(WINE_DIR, self.get_version(), \\\"mono\\\")\\n env[\\\"WINE_GECKO_CACHE_DIR\\\"] = os.path.join(WINE_DIR, self.get_version(), \\\"gecko\\\")\\n if is_gstreamer_build(self.get_executable()):\\n path_64 = os.path.join(WINE_DIR, self.get_version(), \\\"lib64/gstreamer-1.0/\\\")\\n path_32 = os.path.join(WINE_DIR, self.get_version(), \\\"lib/gstreamer-1.0/\\\")\\n if os.path.exists(path_64) or os.path.exists(path_32):\\n env[\\\"GST_PLUGIN_SYSTEM_PATH_1_0\\\"] = path_64 + \\\":\\\" + path_32\\n if self.prefix_path:\\n env[\\\"WINEPREFIX\\\"] = self.prefix_path\\n\\n if not (\\\"WINEESYNC\\\" in env and env[\\\"WINEESYNC\\\"] == \\\"1\\\"):\\n env[\\\"WINEESYNC\\\"] = \\\"1\\\" if self.runner_config.get(\\\"esync\\\") else \\\"0\\\"\\n\\n if not (\\\"WINEFSYNC\\\" in env and env[\\\"WINEFSYNC\\\"] == \\\"1\\\"):\\n env[\\\"WINEFSYNC\\\"] = \\\"1\\\" if self.runner_config.get(\\\"fsync\\\") else \\\"0\\\"\\n\\n if self.runner_config.get(\\\"fsr\\\"):\\n env[\\\"WINE_FULLSCREEN_FSR\\\"] = \\\"1\\\"\\n\\n if self.runner_config.get(\\\"dxvk_nvapi\\\"):\\n env[\\\"DXVK_NVAPIHACK\\\"] = \\\"0\\\"\\n env[\\\"DXVK_ENABLE_NVAPI\\\"] = \\\"1\\\"\\n\\n if self.runner_config.get(\\\"battleye\\\"):\\n env[\\\"PROTON_BATTLEYE_RUNTIME\\\"] = os.path.join(settings.RUNTIME_DIR, \\\"battleye_runtime\\\")\\n\\n if self.runner_config.get(\\\"eac\\\"):\\n env[\\\"PROTON_EAC_RUNTIME\\\"] = os.path.join(settings.RUNTIME_DIR, \\\"eac_runtime\\\")\\n\\n overrides = self.get_dll_overrides()\\n if overrides:\\n self.dll_overrides.update(overrides)\\n env[\\\"WINEDLLOVERRIDES\\\"] = get_overrides_env(self.dll_overrides)\\n return env\\n\\n def get_runtime_env(self):\\n \\\"\\\"\\\"Return runtime environment variables with path to wine for Lutris builds\\\"\\\"\\\"\\n wine_path = self.get_executable()\\n wine_root = None\\n if WINE_DIR:\\n wine_root = os.path.dirname(os.path.dirname(wine_path))\\n for proton_path in get_proton_paths():\\n if proton_path in wine_path:\\n wine_root = os.path.dirname(os.path.dirname(wine_path))\\n return runtime.get_env(\\n version=\\\"Ubuntu-18.04\\\",\\n prefer_system_libs=self.system_config.get(\\\"prefer_system_libs\\\", True),\\n wine_path=wine_root,\\n )\\n\\n def get_pids(self, wine_path=None):\\n \\\"\\\"\\\"Return a list of pids of processes using the current wine exe.\\\"\\\"\\\"\\n if wine_path:\\n exe = wine_path\\n else:\\n exe = self.get_executable()\\n if not exe.startswith(\\\"/\\\"):\\n exe = system.find_executable(exe)\\n pids = system.get_pids_using_file(exe)\\n if self.wine_arch == \\\"win64\\\" and os.path.basename(exe) == \\\"wine\\\":\\n pids = pids | system.get_pids_using_file(exe + \\\"64\\\")\\n\\n # Add wineserver PIDs to the mix (at least one occurence of fuser not\\n # picking the games's PID from wine/wine64 but from wineserver for some\\n # unknown reason.\\n pids = pids | system.get_pids_using_file(os.path.join(os.path.dirname(exe), \\\"wineserver\\\"))\\n return pids\\n\\n def sandbox(self, wine_prefix):\\n if self.runner_config.get(\\\"sandbox\\\", True):\\n wine_prefix.desktop_integration(desktop_dir=self.runner_config.get(\\\"sandbox_dir\\\"))\\n else:\\n wine_prefix.desktop_integration(restore=True)\\n\\n def play(self): # pylint: disable=too-many-return-statements # noqa: C901\\n game_exe = self.game_exe\\n arguments = self.game_config.get(\\\"args\\\", \\\"\\\")\\n launch_info = {\\\"env\\\": self.get_env(os_env=False)}\\n using_dxvk = self.runner_config.get(\\\"dxvk\\\")\\n\\n if using_dxvk:\\n # Set this to 1 to enable access to more RAM for 32bit applications\\n launch_info[\\\"env\\\"][\\\"WINE_LARGE_ADDRESS_AWARE\\\"] = \\\"1\\\"\\n if not is_vulkan_supported():\\n if not display_vulkan_error(True):\\n return {\\\"error\\\": \\\"VULKAN_NOT_FOUND\\\"}\\n\\n if not game_exe or not system.path_exists(game_exe):\\n return {\\\"error\\\": \\\"FILE_NOT_FOUND\\\", \\\"file\\\": game_exe}\\n\\n if launch_info[\\\"env\\\"].get(\\\"WINEESYNC\\\") == \\\"1\\\":\\n limit_set = is_esync_limit_set()\\n wine_ver = is_version_esync(self.get_executable())\\n\\n if not limit_set and not wine_ver:\\n esync_display_version_warning(True)\\n esync_display_limit_warning()\\n return {\\\"error\\\": \\\"ESYNC_LIMIT_NOT_SET\\\"}\\n if not is_esync_limit_set():\\n esync_display_limit_warning()\\n return {\\\"error\\\": \\\"ESYNC_LIMIT_NOT_SET\\\"}\\n if not wine_ver:\\n if not esync_display_version_warning(True):\\n return {\\\"error\\\": \\\"NON_ESYNC_WINE_VERSION\\\"}\\n\\n if launch_info[\\\"env\\\"].get(\\\"WINEFSYNC\\\") == \\\"1\\\":\\n fsync_supported = is_fsync_supported()\\n wine_ver = is_version_fsync(self.get_executable())\\n\\n if not fsync_supported and not wine_ver:\\n fsync_display_version_warning(True)\\n fsync_display_support_warning()\\n return {\\\"error\\\": \\\"FSYNC_NOT_SUPPORTED\\\"}\\n if not fsync_supported:\\n fsync_display_support_warning()\\n return {\\\"error\\\": \\\"FSYNC_NOT_SUPPORTED\\\"}\\n if not wine_ver:\\n if not fsync_display_version_warning(True):\\n return {\\\"error\\\": \\\"NON_FSYNC_WINE_VERSION\\\"}\\n\\n command = [self.get_executable()]\\n\\n game_exe, args, _working_dir = get_real_executable(game_exe, self.working_dir)\\n command.append(game_exe)\\n if args:\\n command = command + args\\n\\n if arguments:\\n for arg in split_arguments(arguments):\\n command.append(arg)\\n launch_info[\\\"command\\\"] = command\\n return launch_info\\n\\n def force_stop_game(self, game):\\n \\\"\\\"\\\"Kill WINE with kindness, or at least with -k. This seems to leave a process\\n alive for some reason, but the caller will detect this and SIGKILL it.\\\"\\\"\\\"\\n self.run_winekill()\\n\\n @staticmethod\\n def parse_wine_path(path, prefix_path=None):\\n \\\"\\\"\\\"Take a Windows path, return the corresponding Linux path.\\\"\\\"\\\"\\n if not prefix_path:\\n prefix_path = os.path.expanduser(\\\"~/.wine\\\")\\n\\n path = path.replace(\\\"\\\\\\\\\\\\\\\\\\\", \\\"/\\\").replace(\\\"\\\\\\\\\\\", \\\"/\\\")\\n\\n if path[1] == \\\":\\\": # absolute path\\n drive = os.path.join(prefix_path, \\\"dosdevices\\\", path[:2].lower())\\n if os.path.islink(drive): # Try to resolve the path\\n drive = os.readlink(drive)\\n return os.path.join(drive, path[3:])\\n\\n if path[0] == \\\"/\\\": # drive-relative path. C is as good a guess as any..\\n return os.path.join(prefix_path, \\\"drive_c\\\", path[1:])\\n\\n # Relative path\\n return path\\n\",\n \"path\": \"lutris/runners/wine.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/lutris/runners/wine.py b/lutris/runners/wine.py\nindex 0f548ddaef..6e8ad7eddd 100644\n--- a/lutris/runners/wine.py\n+++ b/lutris/runners/wine.py\n@@ -772,8 +772,10 @@ def setup_dlls(self, manager_class, enable, version):\n arch=self.wine_arch,\n version=version,\n )\n+\n # manual version only sets the dlls to native\n- if dll_manager.version.lower() != \"manual\":\n+ manager_version = dll_manager.version\n+ if not manager_version or manager_version.lower() != \"manual\":\n if enable:\n dll_manager.enable()\n else:\n"}}},{"rowIdx":6593,"cells":{"in_source_id":{"kind":"string","value":"celery__celery-5462"},"issue":{"kind":"string","value":"Minor bug in celery utils time.py file\nThere is a function named remaining in the celery.utils.time.py file. In that function, I think the statement start = start.replace(tzinfo=now.tzinfo) (line 211) has to be replaced with start = start.astimezone(now.tzinfo).\r\n\r\nI hope the expected working by using the statement (`start = start.replace(tzinfo=now.tzinfo)`) is to change the `start` variable's date and time according to the `now` variable's timezone. But the replace function in the above mentioned statement is just replacing the timezone of the `start` variable without changing the values of its date and time. I thought `astimezone` is the method required for our purpose (which converts the date and time in `start` variable to the given timezone argument).\r\n\r\nSo, I think `start = start.replace(tzinfo=now.tzinfo)` must be changed to `start = start.astimezone(now.tzinfo)`.\r\n\r\nPlease correct me incase I am wrong.\r\n\r\nModule versions:\r\nPython 3.5.2\r\ncelery==4.2.1\r\ndjango-celery-beat==1.4.0\n"},"before_files":{"kind":"list like","value":[{"content":"# -*- coding: utf-8 -*-\n\"\"\"Utilities related to dates, times, intervals, and timezones.\"\"\"\nfrom __future__ import absolute_import, print_function, unicode_literals\n\nimport numbers\nimport os\nimport random\nimport time as _time\nfrom calendar import monthrange\nfrom datetime import date, datetime, timedelta, tzinfo\n\nfrom kombu.utils.functional import reprcall\nfrom kombu.utils.objects import cached_property\nfrom pytz import AmbiguousTimeError, FixedOffset\nfrom pytz import timezone as _timezone\nfrom pytz import utc\n\nfrom celery.five import PY3, python_2_unicode_compatible, string_t\n\nfrom .functional import dictfilter\nfrom .iso8601 import parse_iso8601\nfrom .text import pluralize\n\n__all__ = (\n 'LocalTimezone', 'timezone', 'maybe_timedelta',\n 'delta_resolution', 'remaining', 'rate', 'weekday',\n 'humanize_seconds', 'maybe_iso8601', 'is_naive',\n 'make_aware', 'localize', 'to_utc', 'maybe_make_aware',\n 'ffwd', 'utcoffset', 'adjust_timestamp',\n 'get_exponential_backoff_interval',\n)\n\nC_REMDEBUG = os.environ.get('C_REMDEBUG', False)\n\nDAYNAMES = 'sun', 'mon', 'tue', 'wed', 'thu', 'fri', 'sat'\nWEEKDAYS = dict(zip(DAYNAMES, range(7)))\n\nRATE_MODIFIER_MAP = {\n 's': lambda n: n,\n 'm': lambda n: n / 60.0,\n 'h': lambda n: n / 60.0 / 60.0,\n}\n\nTIME_UNITS = (\n ('day', 60 * 60 * 24.0, lambda n: format(n, '.2f')),\n ('hour', 60 * 60.0, lambda n: format(n, '.2f')),\n ('minute', 60.0, lambda n: format(n, '.2f')),\n ('second', 1.0, lambda n: format(n, '.2f')),\n)\n\nZERO = timedelta(0)\n\n_local_timezone = None\n\n\n@python_2_unicode_compatible\nclass LocalTimezone(tzinfo):\n \"\"\"Local time implementation.\n\n Note:\n Used only when the :setting:`enable_utc` setting is disabled.\n \"\"\"\n\n _offset_cache = {}\n\n def __init__(self):\n # This code is moved in __init__ to execute it as late as possible\n # See get_default_timezone().\n self.STDOFFSET = timedelta(seconds=-_time.timezone)\n if _time.daylight:\n self.DSTOFFSET = timedelta(seconds=-_time.altzone)\n else:\n self.DSTOFFSET = self.STDOFFSET\n self.DSTDIFF = self.DSTOFFSET - self.STDOFFSET\n tzinfo.__init__(self)\n\n def __repr__(self):\n return '<LocalTimezone: UTC{0:+03d}>'.format(\n int(self.DSTOFFSET.total_seconds() / 3600),\n )\n\n def utcoffset(self, dt):\n return self.DSTOFFSET if self._isdst(dt) else self.STDOFFSET\n\n def dst(self, dt):\n return self.DSTDIFF if self._isdst(dt) else ZERO\n\n def tzname(self, dt):\n return _time.tzname[self._isdst(dt)]\n\n if PY3: # pragma: no cover\n\n def fromutc(self, dt):\n # The base tzinfo class no longer implements a DST\n # offset aware .fromutc() in Python 3 (Issue #2306).\n\n # I'd rather rely on pytz to do this, than port\n # the C code from cpython's fromutc [asksol]\n offset = int(self.utcoffset(dt).seconds / 60.0)\n try:\n tz = self._offset_cache[offset]\n except KeyError:\n tz = self._offset_cache[offset] = FixedOffset(offset)\n return tz.fromutc(dt.replace(tzinfo=tz))\n\n def _isdst(self, dt):\n tt = (dt.year, dt.month, dt.day,\n dt.hour, dt.minute, dt.second,\n dt.weekday(), 0, 0)\n stamp = _time.mktime(tt)\n tt = _time.localtime(stamp)\n return tt.tm_isdst > 0\n\n\nclass _Zone(object):\n\n def tz_or_local(self, tzinfo=None):\n # pylint: disable=redefined-outer-name\n if tzinfo is None:\n return self.local\n return self.get_timezone(tzinfo)\n\n def to_local(self, dt, local=None, orig=None):\n if is_naive(dt):\n dt = make_aware(dt, orig or self.utc)\n return localize(dt, self.tz_or_local(local))\n\n if PY3: # pragma: no cover\n\n def to_system(self, dt):\n # tz=None is a special case since Python 3.3, and will\n # convert to the current local timezone (Issue #2306).\n return dt.astimezone(tz=None)\n\n else:\n\n def to_system(self, dt): # noqa\n return localize(dt, self.local)\n\n def to_local_fallback(self, dt):\n if is_naive(dt):\n return make_aware(dt, self.local)\n return localize(dt, self.local)\n\n def get_timezone(self, zone):\n if isinstance(zone, string_t):\n return _timezone(zone)\n return zone\n\n @cached_property\n def local(self):\n return LocalTimezone()\n\n @cached_property\n def utc(self):\n return self.get_timezone('UTC')\n\n\ntimezone = _Zone()\n\n\ndef maybe_timedelta(delta):\n \"\"\"Convert integer to timedelta, if argument is an integer.\"\"\"\n if isinstance(delta, numbers.Real):\n return timedelta(seconds=delta)\n return delta\n\n\ndef delta_resolution(dt, delta):\n \"\"\"Round a :class:`~datetime.datetime` to the resolution of timedelta.\n\n If the :class:`~datetime.timedelta` is in days, the\n :class:`~datetime.datetime` will be rounded to the nearest days,\n if the :class:`~datetime.timedelta` is in hours the\n :class:`~datetime.datetime` will be rounded to the nearest hour,\n and so on until seconds, which will just return the original\n :class:`~datetime.datetime`.\n \"\"\"\n delta = max(delta.total_seconds(), 0)\n\n resolutions = ((3, lambda x: x / 86400),\n (4, lambda x: x / 3600),\n (5, lambda x: x / 60))\n\n args = dt.year, dt.month, dt.day, dt.hour, dt.minute, dt.second\n for res, predicate in resolutions:\n if predicate(delta) >= 1.0:\n return datetime(*args[:res], tzinfo=dt.tzinfo)\n return dt\n\n\ndef remaining(start, ends_in, now=None, relative=False):\n \"\"\"Calculate the remaining time for a start date and a timedelta.\n\n For example, \"how many seconds left for 30 seconds after start?\"\n\n Arguments:\n start (~datetime.datetime): Starting date.\n ends_in (~datetime.timedelta): The end delta.\n relative (bool): If enabled the end time will be calculated\n using :func:`delta_resolution` (i.e., rounded to the\n resolution of `ends_in`).\n now (Callable): Function returning the current time and date.\n Defaults to :func:`datetime.utcnow`.\n\n Returns:\n ~datetime.timedelta: Remaining time.\n \"\"\"\n now = now or datetime.utcnow()\n if now.utcoffset() != start.utcoffset():\n # Timezone has changed, or DST started/ended\n start = start.replace(tzinfo=now.tzinfo)\n end_date = start + ends_in\n if relative:\n end_date = delta_resolution(end_date, ends_in)\n ret = end_date - now\n if C_REMDEBUG: # pragma: no cover\n print('rem: NOW:%r START:%r ENDS_IN:%r END_DATE:%s REM:%s' % (\n now, start, ends_in, end_date, ret))\n return ret\n\n\ndef rate(r):\n \"\"\"Convert rate string (`\"100/m\"`, `\"2/h\"` or `\"0.5/s\"`) to seconds.\"\"\"\n if r:\n if isinstance(r, string_t):\n ops, _, modifier = r.partition('/')\n return RATE_MODIFIER_MAP[modifier or 's'](float(ops)) or 0\n return r or 0\n return 0\n\n\ndef weekday(name):\n \"\"\"Return the position of a weekday: 0 - 7, where 0 is Sunday.\n\n Example:\n >>> weekday('sunday'), weekday('sun'), weekday('mon')\n (0, 0, 1)\n \"\"\"\n abbreviation = name[0:3].lower()\n try:\n return WEEKDAYS[abbreviation]\n except KeyError:\n # Show original day name in exception, instead of abbr.\n raise KeyError(name)\n\n\ndef humanize_seconds(secs, prefix='', sep='', now='now', microseconds=False):\n \"\"\"Show seconds in human form.\n\n For example, 60 becomes \"1 minute\", and 7200 becomes \"2 hours\".\n\n Arguments:\n prefix (str): can be used to add a preposition to the output\n (e.g., 'in' will give 'in 1 second', but add nothing to 'now').\n now (str): Literal 'now'.\n microseconds (bool): Include microseconds.\n \"\"\"\n secs = float(format(float(secs), '.2f'))\n for unit, divider, formatter in TIME_UNITS:\n if secs >= divider:\n w = secs / float(divider)\n return '{0}{1}{2} {3}'.format(prefix, sep, formatter(w),\n pluralize(w, unit))\n if microseconds and secs > 0.0:\n return '{prefix}{sep}{0:.2f} seconds'.format(\n secs, sep=sep, prefix=prefix)\n return now\n\n\ndef maybe_iso8601(dt):\n \"\"\"Either ``datetime | str -> datetime`` or ``None -> None``.\"\"\"\n if not dt:\n return\n if isinstance(dt, datetime):\n return dt\n return parse_iso8601(dt)\n\n\ndef is_naive(dt):\n \"\"\"Return :const:`True` if :class:`~datetime.datetime` is naive.\"\"\"\n return dt.tzinfo is None or dt.tzinfo.utcoffset(dt) is None\n\n\ndef make_aware(dt, tz):\n \"\"\"Set timezone for a :class:`~datetime.datetime` object.\"\"\"\n try:\n _localize = tz.localize\n except AttributeError:\n return dt.replace(tzinfo=tz)\n else:\n # works on pytz timezones\n try:\n return _localize(dt, is_dst=None)\n except AmbiguousTimeError:\n return min(_localize(dt, is_dst=True),\n _localize(dt, is_dst=False))\n\n\ndef localize(dt, tz):\n \"\"\"Convert aware :class:`~datetime.datetime` to another timezone.\"\"\"\n if is_naive(dt): # Ensure timezone aware datetime\n dt = make_aware(dt, tz)\n if dt.tzinfo == utc:\n dt = dt.astimezone(tz) # Always safe to call astimezone on utc zones\n try:\n _normalize = tz.normalize\n except AttributeError: # non-pytz tz\n return dt\n else:\n try:\n return _normalize(dt, is_dst=None)\n except TypeError:\n return _normalize(dt)\n except AmbiguousTimeError:\n return min(_normalize(dt, is_dst=True),\n _normalize(dt, is_dst=False))\n\n\ndef to_utc(dt):\n \"\"\"Convert naive :class:`~datetime.datetime` to UTC.\"\"\"\n return make_aware(dt, timezone.utc)\n\n\ndef maybe_make_aware(dt, tz=None):\n \"\"\"Convert dt to aware datetime, do nothing if dt is already aware.\"\"\"\n if is_naive(dt):\n dt = to_utc(dt)\n return localize(\n dt, timezone.utc if tz is None else timezone.tz_or_local(tz),\n )\n return dt\n\n\n@python_2_unicode_compatible\nclass ffwd(object):\n \"\"\"Version of ``dateutil.relativedelta`` that only supports addition.\"\"\"\n\n def __init__(self, year=None, month=None, weeks=0, weekday=None, day=None,\n hour=None, minute=None, second=None, microsecond=None,\n **kwargs):\n # pylint: disable=redefined-outer-name\n # weekday is also a function in outer scope.\n self.year = year\n self.month = month\n self.weeks = weeks\n self.weekday = weekday\n self.day = day\n self.hour = hour\n self.minute = minute\n self.second = second\n self.microsecond = microsecond\n self.days = weeks * 7\n self._has_time = self.hour is not None or self.minute is not None\n\n def __repr__(self):\n return reprcall('ffwd', (), self._fields(weeks=self.weeks,\n weekday=self.weekday))\n\n def __radd__(self, other):\n if not isinstance(other, date):\n return NotImplemented\n year = self.year or other.year\n month = self.month or other.month\n day = min(monthrange(year, month)[1], self.day or other.day)\n ret = other.replace(**dict(dictfilter(self._fields()),\n year=year, month=month, day=day))\n if self.weekday is not None:\n ret += timedelta(days=(7 - ret.weekday() + self.weekday) % 7)\n return ret + timedelta(days=self.days)\n\n def _fields(self, **extra):\n return dictfilter({\n 'year': self.year, 'month': self.month, 'day': self.day,\n 'hour': self.hour, 'minute': self.minute,\n 'second': self.second, 'microsecond': self.microsecond,\n }, **extra)\n\n\ndef utcoffset(time=_time, localtime=_time.localtime):\n \"\"\"Return the current offset to UTC in hours.\"\"\"\n if localtime().tm_isdst:\n return time.altzone // 3600\n return time.timezone // 3600\n\n\ndef adjust_timestamp(ts, offset, here=utcoffset):\n \"\"\"Adjust timestamp based on provided utcoffset.\"\"\"\n return ts - (offset - here()) * 3600\n\n\ndef get_exponential_backoff_interval(\n factor,\n retries,\n maximum,\n full_jitter=False\n):\n \"\"\"Calculate the exponential backoff wait time.\"\"\"\n # Will be zero if factor equals 0\n countdown = factor * (2 ** retries)\n # Full jitter according to\n # https://www.awsarchitectureblog.com/2015/03/backoff.html\n if full_jitter:\n countdown = random.randrange(countdown + 1)\n # Adjust according to maximum wait time and account for negative values.\n return max(0, min(maximum, countdown))\n","path":"celery/utils/time.py"}],"string":"[\n {\n \"content\": \"# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"Utilities related to dates, times, intervals, and timezones.\\\"\\\"\\\"\\nfrom __future__ import absolute_import, print_function, unicode_literals\\n\\nimport numbers\\nimport os\\nimport random\\nimport time as _time\\nfrom calendar import monthrange\\nfrom datetime import date, datetime, timedelta, tzinfo\\n\\nfrom kombu.utils.functional import reprcall\\nfrom kombu.utils.objects import cached_property\\nfrom pytz import AmbiguousTimeError, FixedOffset\\nfrom pytz import timezone as _timezone\\nfrom pytz import utc\\n\\nfrom celery.five import PY3, python_2_unicode_compatible, string_t\\n\\nfrom .functional import dictfilter\\nfrom .iso8601 import parse_iso8601\\nfrom .text import pluralize\\n\\n__all__ = (\\n 'LocalTimezone', 'timezone', 'maybe_timedelta',\\n 'delta_resolution', 'remaining', 'rate', 'weekday',\\n 'humanize_seconds', 'maybe_iso8601', 'is_naive',\\n 'make_aware', 'localize', 'to_utc', 'maybe_make_aware',\\n 'ffwd', 'utcoffset', 'adjust_timestamp',\\n 'get_exponential_backoff_interval',\\n)\\n\\nC_REMDEBUG = os.environ.get('C_REMDEBUG', False)\\n\\nDAYNAMES = 'sun', 'mon', 'tue', 'wed', 'thu', 'fri', 'sat'\\nWEEKDAYS = dict(zip(DAYNAMES, range(7)))\\n\\nRATE_MODIFIER_MAP = {\\n 's': lambda n: n,\\n 'm': lambda n: n / 60.0,\\n 'h': lambda n: n / 60.0 / 60.0,\\n}\\n\\nTIME_UNITS = (\\n ('day', 60 * 60 * 24.0, lambda n: format(n, '.2f')),\\n ('hour', 60 * 60.0, lambda n: format(n, '.2f')),\\n ('minute', 60.0, lambda n: format(n, '.2f')),\\n ('second', 1.0, lambda n: format(n, '.2f')),\\n)\\n\\nZERO = timedelta(0)\\n\\n_local_timezone = None\\n\\n\\n@python_2_unicode_compatible\\nclass LocalTimezone(tzinfo):\\n \\\"\\\"\\\"Local time implementation.\\n\\n Note:\\n Used only when the :setting:`enable_utc` setting is disabled.\\n \\\"\\\"\\\"\\n\\n _offset_cache = {}\\n\\n def __init__(self):\\n # This code is moved in __init__ to execute it as late as possible\\n # See get_default_timezone().\\n self.STDOFFSET = timedelta(seconds=-_time.timezone)\\n if _time.daylight:\\n self.DSTOFFSET = timedelta(seconds=-_time.altzone)\\n else:\\n self.DSTOFFSET = self.STDOFFSET\\n self.DSTDIFF = self.DSTOFFSET - self.STDOFFSET\\n tzinfo.__init__(self)\\n\\n def __repr__(self):\\n return '<LocalTimezone: UTC{0:+03d}>'.format(\\n int(self.DSTOFFSET.total_seconds() / 3600),\\n )\\n\\n def utcoffset(self, dt):\\n return self.DSTOFFSET if self._isdst(dt) else self.STDOFFSET\\n\\n def dst(self, dt):\\n return self.DSTDIFF if self._isdst(dt) else ZERO\\n\\n def tzname(self, dt):\\n return _time.tzname[self._isdst(dt)]\\n\\n if PY3: # pragma: no cover\\n\\n def fromutc(self, dt):\\n # The base tzinfo class no longer implements a DST\\n # offset aware .fromutc() in Python 3 (Issue #2306).\\n\\n # I'd rather rely on pytz to do this, than port\\n # the C code from cpython's fromutc [asksol]\\n offset = int(self.utcoffset(dt).seconds / 60.0)\\n try:\\n tz = self._offset_cache[offset]\\n except KeyError:\\n tz = self._offset_cache[offset] = FixedOffset(offset)\\n return tz.fromutc(dt.replace(tzinfo=tz))\\n\\n def _isdst(self, dt):\\n tt = (dt.year, dt.month, dt.day,\\n dt.hour, dt.minute, dt.second,\\n dt.weekday(), 0, 0)\\n stamp = _time.mktime(tt)\\n tt = _time.localtime(stamp)\\n return tt.tm_isdst > 0\\n\\n\\nclass _Zone(object):\\n\\n def tz_or_local(self, tzinfo=None):\\n # pylint: disable=redefined-outer-name\\n if tzinfo is None:\\n return self.local\\n return self.get_timezone(tzinfo)\\n\\n def to_local(self, dt, local=None, orig=None):\\n if is_naive(dt):\\n dt = make_aware(dt, orig or self.utc)\\n return localize(dt, self.tz_or_local(local))\\n\\n if PY3: # pragma: no cover\\n\\n def to_system(self, dt):\\n # tz=None is a special case since Python 3.3, and will\\n # convert to the current local timezone (Issue #2306).\\n return dt.astimezone(tz=None)\\n\\n else:\\n\\n def to_system(self, dt): # noqa\\n return localize(dt, self.local)\\n\\n def to_local_fallback(self, dt):\\n if is_naive(dt):\\n return make_aware(dt, self.local)\\n return localize(dt, self.local)\\n\\n def get_timezone(self, zone):\\n if isinstance(zone, string_t):\\n return _timezone(zone)\\n return zone\\n\\n @cached_property\\n def local(self):\\n return LocalTimezone()\\n\\n @cached_property\\n def utc(self):\\n return self.get_timezone('UTC')\\n\\n\\ntimezone = _Zone()\\n\\n\\ndef maybe_timedelta(delta):\\n \\\"\\\"\\\"Convert integer to timedelta, if argument is an integer.\\\"\\\"\\\"\\n if isinstance(delta, numbers.Real):\\n return timedelta(seconds=delta)\\n return delta\\n\\n\\ndef delta_resolution(dt, delta):\\n \\\"\\\"\\\"Round a :class:`~datetime.datetime` to the resolution of timedelta.\\n\\n If the :class:`~datetime.timedelta` is in days, the\\n :class:`~datetime.datetime` will be rounded to the nearest days,\\n if the :class:`~datetime.timedelta` is in hours the\\n :class:`~datetime.datetime` will be rounded to the nearest hour,\\n and so on until seconds, which will just return the original\\n :class:`~datetime.datetime`.\\n \\\"\\\"\\\"\\n delta = max(delta.total_seconds(), 0)\\n\\n resolutions = ((3, lambda x: x / 86400),\\n (4, lambda x: x / 3600),\\n (5, lambda x: x / 60))\\n\\n args = dt.year, dt.month, dt.day, dt.hour, dt.minute, dt.second\\n for res, predicate in resolutions:\\n if predicate(delta) >= 1.0:\\n return datetime(*args[:res], tzinfo=dt.tzinfo)\\n return dt\\n\\n\\ndef remaining(start, ends_in, now=None, relative=False):\\n \\\"\\\"\\\"Calculate the remaining time for a start date and a timedelta.\\n\\n For example, \\\"how many seconds left for 30 seconds after start?\\\"\\n\\n Arguments:\\n start (~datetime.datetime): Starting date.\\n ends_in (~datetime.timedelta): The end delta.\\n relative (bool): If enabled the end time will be calculated\\n using :func:`delta_resolution` (i.e., rounded to the\\n resolution of `ends_in`).\\n now (Callable): Function returning the current time and date.\\n Defaults to :func:`datetime.utcnow`.\\n\\n Returns:\\n ~datetime.timedelta: Remaining time.\\n \\\"\\\"\\\"\\n now = now or datetime.utcnow()\\n if now.utcoffset() != start.utcoffset():\\n # Timezone has changed, or DST started/ended\\n start = start.replace(tzinfo=now.tzinfo)\\n end_date = start + ends_in\\n if relative:\\n end_date = delta_resolution(end_date, ends_in)\\n ret = end_date - now\\n if C_REMDEBUG: # pragma: no cover\\n print('rem: NOW:%r START:%r ENDS_IN:%r END_DATE:%s REM:%s' % (\\n now, start, ends_in, end_date, ret))\\n return ret\\n\\n\\ndef rate(r):\\n \\\"\\\"\\\"Convert rate string (`\\\"100/m\\\"`, `\\\"2/h\\\"` or `\\\"0.5/s\\\"`) to seconds.\\\"\\\"\\\"\\n if r:\\n if isinstance(r, string_t):\\n ops, _, modifier = r.partition('/')\\n return RATE_MODIFIER_MAP[modifier or 's'](float(ops)) or 0\\n return r or 0\\n return 0\\n\\n\\ndef weekday(name):\\n \\\"\\\"\\\"Return the position of a weekday: 0 - 7, where 0 is Sunday.\\n\\n Example:\\n >>> weekday('sunday'), weekday('sun'), weekday('mon')\\n (0, 0, 1)\\n \\\"\\\"\\\"\\n abbreviation = name[0:3].lower()\\n try:\\n return WEEKDAYS[abbreviation]\\n except KeyError:\\n # Show original day name in exception, instead of abbr.\\n raise KeyError(name)\\n\\n\\ndef humanize_seconds(secs, prefix='', sep='', now='now', microseconds=False):\\n \\\"\\\"\\\"Show seconds in human form.\\n\\n For example, 60 becomes \\\"1 minute\\\", and 7200 becomes \\\"2 hours\\\".\\n\\n Arguments:\\n prefix (str): can be used to add a preposition to the output\\n (e.g., 'in' will give 'in 1 second', but add nothing to 'now').\\n now (str): Literal 'now'.\\n microseconds (bool): Include microseconds.\\n \\\"\\\"\\\"\\n secs = float(format(float(secs), '.2f'))\\n for unit, divider, formatter in TIME_UNITS:\\n if secs >= divider:\\n w = secs / float(divider)\\n return '{0}{1}{2} {3}'.format(prefix, sep, formatter(w),\\n pluralize(w, unit))\\n if microseconds and secs > 0.0:\\n return '{prefix}{sep}{0:.2f} seconds'.format(\\n secs, sep=sep, prefix=prefix)\\n return now\\n\\n\\ndef maybe_iso8601(dt):\\n \\\"\\\"\\\"Either ``datetime | str -> datetime`` or ``None -> None``.\\\"\\\"\\\"\\n if not dt:\\n return\\n if isinstance(dt, datetime):\\n return dt\\n return parse_iso8601(dt)\\n\\n\\ndef is_naive(dt):\\n \\\"\\\"\\\"Return :const:`True` if :class:`~datetime.datetime` is naive.\\\"\\\"\\\"\\n return dt.tzinfo is None or dt.tzinfo.utcoffset(dt) is None\\n\\n\\ndef make_aware(dt, tz):\\n \\\"\\\"\\\"Set timezone for a :class:`~datetime.datetime` object.\\\"\\\"\\\"\\n try:\\n _localize = tz.localize\\n except AttributeError:\\n return dt.replace(tzinfo=tz)\\n else:\\n # works on pytz timezones\\n try:\\n return _localize(dt, is_dst=None)\\n except AmbiguousTimeError:\\n return min(_localize(dt, is_dst=True),\\n _localize(dt, is_dst=False))\\n\\n\\ndef localize(dt, tz):\\n \\\"\\\"\\\"Convert aware :class:`~datetime.datetime` to another timezone.\\\"\\\"\\\"\\n if is_naive(dt): # Ensure timezone aware datetime\\n dt = make_aware(dt, tz)\\n if dt.tzinfo == utc:\\n dt = dt.astimezone(tz) # Always safe to call astimezone on utc zones\\n try:\\n _normalize = tz.normalize\\n except AttributeError: # non-pytz tz\\n return dt\\n else:\\n try:\\n return _normalize(dt, is_dst=None)\\n except TypeError:\\n return _normalize(dt)\\n except AmbiguousTimeError:\\n return min(_normalize(dt, is_dst=True),\\n _normalize(dt, is_dst=False))\\n\\n\\ndef to_utc(dt):\\n \\\"\\\"\\\"Convert naive :class:`~datetime.datetime` to UTC.\\\"\\\"\\\"\\n return make_aware(dt, timezone.utc)\\n\\n\\ndef maybe_make_aware(dt, tz=None):\\n \\\"\\\"\\\"Convert dt to aware datetime, do nothing if dt is already aware.\\\"\\\"\\\"\\n if is_naive(dt):\\n dt = to_utc(dt)\\n return localize(\\n dt, timezone.utc if tz is None else timezone.tz_or_local(tz),\\n )\\n return dt\\n\\n\\n@python_2_unicode_compatible\\nclass ffwd(object):\\n \\\"\\\"\\\"Version of ``dateutil.relativedelta`` that only supports addition.\\\"\\\"\\\"\\n\\n def __init__(self, year=None, month=None, weeks=0, weekday=None, day=None,\\n hour=None, minute=None, second=None, microsecond=None,\\n **kwargs):\\n # pylint: disable=redefined-outer-name\\n # weekday is also a function in outer scope.\\n self.year = year\\n self.month = month\\n self.weeks = weeks\\n self.weekday = weekday\\n self.day = day\\n self.hour = hour\\n self.minute = minute\\n self.second = second\\n self.microsecond = microsecond\\n self.days = weeks * 7\\n self._has_time = self.hour is not None or self.minute is not None\\n\\n def __repr__(self):\\n return reprcall('ffwd', (), self._fields(weeks=self.weeks,\\n weekday=self.weekday))\\n\\n def __radd__(self, other):\\n if not isinstance(other, date):\\n return NotImplemented\\n year = self.year or other.year\\n month = self.month or other.month\\n day = min(monthrange(year, month)[1], self.day or other.day)\\n ret = other.replace(**dict(dictfilter(self._fields()),\\n year=year, month=month, day=day))\\n if self.weekday is not None:\\n ret += timedelta(days=(7 - ret.weekday() + self.weekday) % 7)\\n return ret + timedelta(days=self.days)\\n\\n def _fields(self, **extra):\\n return dictfilter({\\n 'year': self.year, 'month': self.month, 'day': self.day,\\n 'hour': self.hour, 'minute': self.minute,\\n 'second': self.second, 'microsecond': self.microsecond,\\n }, **extra)\\n\\n\\ndef utcoffset(time=_time, localtime=_time.localtime):\\n \\\"\\\"\\\"Return the current offset to UTC in hours.\\\"\\\"\\\"\\n if localtime().tm_isdst:\\n return time.altzone // 3600\\n return time.timezone // 3600\\n\\n\\ndef adjust_timestamp(ts, offset, here=utcoffset):\\n \\\"\\\"\\\"Adjust timestamp based on provided utcoffset.\\\"\\\"\\\"\\n return ts - (offset - here()) * 3600\\n\\n\\ndef get_exponential_backoff_interval(\\n factor,\\n retries,\\n maximum,\\n full_jitter=False\\n):\\n \\\"\\\"\\\"Calculate the exponential backoff wait time.\\\"\\\"\\\"\\n # Will be zero if factor equals 0\\n countdown = factor * (2 ** retries)\\n # Full jitter according to\\n # https://www.awsarchitectureblog.com/2015/03/backoff.html\\n if full_jitter:\\n countdown = random.randrange(countdown + 1)\\n # Adjust according to maximum wait time and account for negative values.\\n return max(0, min(maximum, countdown))\\n\",\n \"path\": \"celery/utils/time.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"# -*- coding: utf-8 -*-\n\"\"\"Utilities related to dates, times, intervals, and timezones.\"\"\"\nfrom __future__ import absolute_import, print_function, unicode_literals\n\nimport numbers\nimport os\nimport random\nimport time as _time\nfrom calendar import monthrange\nfrom datetime import date, datetime, timedelta, tzinfo\n\nfrom kombu.utils.functional import reprcall\nfrom kombu.utils.objects import cached_property\nfrom pytz import AmbiguousTimeError, FixedOffset\nfrom pytz import timezone as _timezone\nfrom pytz import utc\n\nfrom celery.five import PY3, python_2_unicode_compatible, string_t\n\nfrom .functional import dictfilter\nfrom .iso8601 import parse_iso8601\nfrom .text import pluralize\n\n__all__ = (\n 'LocalTimezone', 'timezone', 'maybe_timedelta',\n 'delta_resolution', 'remaining', 'rate', 'weekday',\n 'humanize_seconds', 'maybe_iso8601', 'is_naive',\n 'make_aware', 'localize', 'to_utc', 'maybe_make_aware',\n 'ffwd', 'utcoffset', 'adjust_timestamp',\n 'get_exponential_backoff_interval',\n)\n\nC_REMDEBUG = os.environ.get('C_REMDEBUG', False)\n\nDAYNAMES = 'sun', 'mon', 'tue', 'wed', 'thu', 'fri', 'sat'\nWEEKDAYS = dict(zip(DAYNAMES, range(7)))\n\nRATE_MODIFIER_MAP = {\n 's': lambda n: n,\n 'm': lambda n: n / 60.0,\n 'h': lambda n: n / 60.0 / 60.0,\n}\n\nTIME_UNITS = (\n ('day', 60 * 60 * 24.0, lambda n: format(n, '.2f')),\n ('hour', 60 * 60.0, lambda n: format(n, '.2f')),\n ('minute', 60.0, lambda n: format(n, '.2f')),\n ('second', 1.0, lambda n: format(n, '.2f')),\n)\n\nZERO = timedelta(0)\n\n_local_timezone = None\n\n\n@python_2_unicode_compatible\nclass LocalTimezone(tzinfo):\n \"\"\"Local time implementation.\n\n Note:\n Used only when the :setting:`enable_utc` setting is disabled.\n \"\"\"\n\n _offset_cache = {}\n\n def __init__(self):\n # This code is moved in __init__ to execute it as late as possible\n # See get_default_timezone().\n self.STDOFFSET = timedelta(seconds=-_time.timezone)\n if _time.daylight:\n self.DSTOFFSET = timedelta(seconds=-_time.altzone)\n else:\n self.DSTOFFSET = self.STDOFFSET\n self.DSTDIFF = self.DSTOFFSET - self.STDOFFSET\n tzinfo.__init__(self)\n\n def __repr__(self):\n return '<LocalTimezone: UTC{0:+03d}>'.format(\n int(self.DSTOFFSET.total_seconds() / 3600),\n )\n\n def utcoffset(self, dt):\n return self.DSTOFFSET if self._isdst(dt) else self.STDOFFSET\n\n def dst(self, dt):\n return self.DSTDIFF if self._isdst(dt) else ZERO\n\n def tzname(self, dt):\n return _time.tzname[self._isdst(dt)]\n\n if PY3: # pragma: no cover\n\n def fromutc(self, dt):\n # The base tzinfo class no longer implements a DST\n # offset aware .fromutc() in Python 3 (Issue #2306).\n\n # I'd rather rely on pytz to do this, than port\n # the C code from cpython's fromutc [asksol]\n offset = int(self.utcoffset(dt).seconds / 60.0)\n try:\n tz = self._offset_cache[offset]\n except KeyError:\n tz = self._offset_cache[offset] = FixedOffset(offset)\n return tz.fromutc(dt.replace(tzinfo=tz))\n\n def _isdst(self, dt):\n tt = (dt.year, dt.month, dt.day,\n dt.hour, dt.minute, dt.second,\n dt.weekday(), 0, 0)\n stamp = _time.mktime(tt)\n tt = _time.localtime(stamp)\n return tt.tm_isdst > 0\n\n\nclass _Zone(object):\n\n def tz_or_local(self, tzinfo=None):\n # pylint: disable=redefined-outer-name\n if tzinfo is None:\n return self.local\n return self.get_timezone(tzinfo)\n\n def to_local(self, dt, local=None, orig=None):\n if is_naive(dt):\n dt = make_aware(dt, orig or self.utc)\n return localize(dt, self.tz_or_local(local))\n\n if PY3: # pragma: no cover\n\n def to_system(self, dt):\n # tz=None is a special case since Python 3.3, and will\n # convert to the current local timezone (Issue #2306).\n return dt.astimezone(tz=None)\n\n else:\n\n def to_system(self, dt): # noqa\n return localize(dt, self.local)\n\n def to_local_fallback(self, dt):\n if is_naive(dt):\n return make_aware(dt, self.local)\n return localize(dt, self.local)\n\n def get_timezone(self, zone):\n if isinstance(zone, string_t):\n return _timezone(zone)\n return zone\n\n @cached_property\n def local(self):\n return LocalTimezone()\n\n @cached_property\n def utc(self):\n return self.get_timezone('UTC')\n\n\ntimezone = _Zone()\n\n\ndef maybe_timedelta(delta):\n \"\"\"Convert integer to timedelta, if argument is an integer.\"\"\"\n if isinstance(delta, numbers.Real):\n return timedelta(seconds=delta)\n return delta\n\n\ndef delta_resolution(dt, delta):\n \"\"\"Round a :class:`~datetime.datetime` to the resolution of timedelta.\n\n If the :class:`~datetime.timedelta` is in days, the\n :class:`~datetime.datetime` will be rounded to the nearest days,\n if the :class:`~datetime.timedelta` is in hours the\n :class:`~datetime.datetime` will be rounded to the nearest hour,\n and so on until seconds, which will just return the original\n :class:`~datetime.datetime`.\n \"\"\"\n delta = max(delta.total_seconds(), 0)\n\n resolutions = ((3, lambda x: x / 86400),\n (4, lambda x: x / 3600),\n (5, lambda x: x / 60))\n\n args = dt.year, dt.month, dt.day, dt.hour, dt.minute, dt.second\n for res, predicate in resolutions:\n if predicate(delta) >= 1.0:\n return datetime(*args[:res], tzinfo=dt.tzinfo)\n return dt\n\n\ndef remaining(start, ends_in, now=None, relative=False):\n \"\"\"Calculate the remaining time for a start date and a timedelta.\n\n For example, \"how many seconds left for 30 seconds after start?\"\n\n Arguments:\n start (~datetime.datetime): Starting date.\n ends_in (~datetime.timedelta): The end delta.\n relative (bool): If enabled the end time will be calculated\n using :func:`delta_resolution` (i.e., rounded to the\n resolution of `ends_in`).\n now (Callable): Function returning the current time and date.\n Defaults to :func:`datetime.utcnow`.\n\n Returns:\n ~datetime.timedelta: Remaining time.\n \"\"\"\n now = now or datetime.utcnow()\n if str(start.tzinfo) == str(now.tzinfo) and now.utcoffset() != start.utcoffset():\n # DST started/ended\n start = start.replace(tzinfo=now.tzinfo)\n end_date = start + ends_in\n if relative:\n end_date = delta_resolution(end_date, ends_in)\n ret = end_date - now\n if C_REMDEBUG: # pragma: no cover\n print('rem: NOW:%r START:%r ENDS_IN:%r END_DATE:%s REM:%s' % (\n now, start, ends_in, end_date, ret))\n return ret\n\n\ndef rate(r):\n \"\"\"Convert rate string (`\"100/m\"`, `\"2/h\"` or `\"0.5/s\"`) to seconds.\"\"\"\n if r:\n if isinstance(r, string_t):\n ops, _, modifier = r.partition('/')\n return RATE_MODIFIER_MAP[modifier or 's'](float(ops)) or 0\n return r or 0\n return 0\n\n\ndef weekday(name):\n \"\"\"Return the position of a weekday: 0 - 7, where 0 is Sunday.\n\n Example:\n >>> weekday('sunday'), weekday('sun'), weekday('mon')\n (0, 0, 1)\n \"\"\"\n abbreviation = name[0:3].lower()\n try:\n return WEEKDAYS[abbreviation]\n except KeyError:\n # Show original day name in exception, instead of abbr.\n raise KeyError(name)\n\n\ndef humanize_seconds(secs, prefix='', sep='', now='now', microseconds=False):\n \"\"\"Show seconds in human form.\n\n For example, 60 becomes \"1 minute\", and 7200 becomes \"2 hours\".\n\n Arguments:\n prefix (str): can be used to add a preposition to the output\n (e.g., 'in' will give 'in 1 second', but add nothing to 'now').\n now (str): Literal 'now'.\n microseconds (bool): Include microseconds.\n \"\"\"\n secs = float(format(float(secs), '.2f'))\n for unit, divider, formatter in TIME_UNITS:\n if secs >= divider:\n w = secs / float(divider)\n return '{0}{1}{2} {3}'.format(prefix, sep, formatter(w),\n pluralize(w, unit))\n if microseconds and secs > 0.0:\n return '{prefix}{sep}{0:.2f} seconds'.format(\n secs, sep=sep, prefix=prefix)\n return now\n\n\ndef maybe_iso8601(dt):\n \"\"\"Either ``datetime | str -> datetime`` or ``None -> None``.\"\"\"\n if not dt:\n return\n if isinstance(dt, datetime):\n return dt\n return parse_iso8601(dt)\n\n\ndef is_naive(dt):\n \"\"\"Return :const:`True` if :class:`~datetime.datetime` is naive.\"\"\"\n return dt.tzinfo is None or dt.tzinfo.utcoffset(dt) is None\n\n\ndef make_aware(dt, tz):\n \"\"\"Set timezone for a :class:`~datetime.datetime` object.\"\"\"\n try:\n _localize = tz.localize\n except AttributeError:\n return dt.replace(tzinfo=tz)\n else:\n # works on pytz timezones\n try:\n return _localize(dt, is_dst=None)\n except AmbiguousTimeError:\n return min(_localize(dt, is_dst=True),\n _localize(dt, is_dst=False))\n\n\ndef localize(dt, tz):\n \"\"\"Convert aware :class:`~datetime.datetime` to another timezone.\"\"\"\n if is_naive(dt): # Ensure timezone aware datetime\n dt = make_aware(dt, tz)\n if dt.tzinfo == utc:\n dt = dt.astimezone(tz) # Always safe to call astimezone on utc zones\n try:\n _normalize = tz.normalize\n except AttributeError: # non-pytz tz\n return dt\n else:\n try:\n return _normalize(dt, is_dst=None)\n except TypeError:\n return _normalize(dt)\n except AmbiguousTimeError:\n return min(_normalize(dt, is_dst=True),\n _normalize(dt, is_dst=False))\n\n\ndef to_utc(dt):\n \"\"\"Convert naive :class:`~datetime.datetime` to UTC.\"\"\"\n return make_aware(dt, timezone.utc)\n\n\ndef maybe_make_aware(dt, tz=None):\n \"\"\"Convert dt to aware datetime, do nothing if dt is already aware.\"\"\"\n if is_naive(dt):\n dt = to_utc(dt)\n return localize(\n dt, timezone.utc if tz is None else timezone.tz_or_local(tz),\n )\n return dt\n\n\n@python_2_unicode_compatible\nclass ffwd(object):\n \"\"\"Version of ``dateutil.relativedelta`` that only supports addition.\"\"\"\n\n def __init__(self, year=None, month=None, weeks=0, weekday=None, day=None,\n hour=None, minute=None, second=None, microsecond=None,\n **kwargs):\n # pylint: disable=redefined-outer-name\n # weekday is also a function in outer scope.\n self.year = year\n self.month = month\n self.weeks = weeks\n self.weekday = weekday\n self.day = day\n self.hour = hour\n self.minute = minute\n self.second = second\n self.microsecond = microsecond\n self.days = weeks * 7\n self._has_time = self.hour is not None or self.minute is not None\n\n def __repr__(self):\n return reprcall('ffwd', (), self._fields(weeks=self.weeks,\n weekday=self.weekday))\n\n def __radd__(self, other):\n if not isinstance(other, date):\n return NotImplemented\n year = self.year or other.year\n month = self.month or other.month\n day = min(monthrange(year, month)[1], self.day or other.day)\n ret = other.replace(**dict(dictfilter(self._fields()),\n year=year, month=month, day=day))\n if self.weekday is not None:\n ret += timedelta(days=(7 - ret.weekday() + self.weekday) % 7)\n return ret + timedelta(days=self.days)\n\n def _fields(self, **extra):\n return dictfilter({\n 'year': self.year, 'month': self.month, 'day': self.day,\n 'hour': self.hour, 'minute': self.minute,\n 'second': self.second, 'microsecond': self.microsecond,\n }, **extra)\n\n\ndef utcoffset(time=_time, localtime=_time.localtime):\n \"\"\"Return the current offset to UTC in hours.\"\"\"\n if localtime().tm_isdst:\n return time.altzone // 3600\n return time.timezone // 3600\n\n\ndef adjust_timestamp(ts, offset, here=utcoffset):\n \"\"\"Adjust timestamp based on provided utcoffset.\"\"\"\n return ts - (offset - here()) * 3600\n\n\ndef get_exponential_backoff_interval(\n factor,\n retries,\n maximum,\n full_jitter=False\n):\n \"\"\"Calculate the exponential backoff wait time.\"\"\"\n # Will be zero if factor equals 0\n countdown = factor * (2 ** retries)\n # Full jitter according to\n # https://www.awsarchitectureblog.com/2015/03/backoff.html\n if full_jitter:\n countdown = random.randrange(countdown + 1)\n # Adjust according to maximum wait time and account for negative values.\n return max(0, min(maximum, countdown))\n","path":"celery/utils/time.py"}],"string":"[\n {\n \"content\": \"# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"Utilities related to dates, times, intervals, and timezones.\\\"\\\"\\\"\\nfrom __future__ import absolute_import, print_function, unicode_literals\\n\\nimport numbers\\nimport os\\nimport random\\nimport time as _time\\nfrom calendar import monthrange\\nfrom datetime import date, datetime, timedelta, tzinfo\\n\\nfrom kombu.utils.functional import reprcall\\nfrom kombu.utils.objects import cached_property\\nfrom pytz import AmbiguousTimeError, FixedOffset\\nfrom pytz import timezone as _timezone\\nfrom pytz import utc\\n\\nfrom celery.five import PY3, python_2_unicode_compatible, string_t\\n\\nfrom .functional import dictfilter\\nfrom .iso8601 import parse_iso8601\\nfrom .text import pluralize\\n\\n__all__ = (\\n 'LocalTimezone', 'timezone', 'maybe_timedelta',\\n 'delta_resolution', 'remaining', 'rate', 'weekday',\\n 'humanize_seconds', 'maybe_iso8601', 'is_naive',\\n 'make_aware', 'localize', 'to_utc', 'maybe_make_aware',\\n 'ffwd', 'utcoffset', 'adjust_timestamp',\\n 'get_exponential_backoff_interval',\\n)\\n\\nC_REMDEBUG = os.environ.get('C_REMDEBUG', False)\\n\\nDAYNAMES = 'sun', 'mon', 'tue', 'wed', 'thu', 'fri', 'sat'\\nWEEKDAYS = dict(zip(DAYNAMES, range(7)))\\n\\nRATE_MODIFIER_MAP = {\\n 's': lambda n: n,\\n 'm': lambda n: n / 60.0,\\n 'h': lambda n: n / 60.0 / 60.0,\\n}\\n\\nTIME_UNITS = (\\n ('day', 60 * 60 * 24.0, lambda n: format(n, '.2f')),\\n ('hour', 60 * 60.0, lambda n: format(n, '.2f')),\\n ('minute', 60.0, lambda n: format(n, '.2f')),\\n ('second', 1.0, lambda n: format(n, '.2f')),\\n)\\n\\nZERO = timedelta(0)\\n\\n_local_timezone = None\\n\\n\\n@python_2_unicode_compatible\\nclass LocalTimezone(tzinfo):\\n \\\"\\\"\\\"Local time implementation.\\n\\n Note:\\n Used only when the :setting:`enable_utc` setting is disabled.\\n \\\"\\\"\\\"\\n\\n _offset_cache = {}\\n\\n def __init__(self):\\n # This code is moved in __init__ to execute it as late as possible\\n # See get_default_timezone().\\n self.STDOFFSET = timedelta(seconds=-_time.timezone)\\n if _time.daylight:\\n self.DSTOFFSET = timedelta(seconds=-_time.altzone)\\n else:\\n self.DSTOFFSET = self.STDOFFSET\\n self.DSTDIFF = self.DSTOFFSET - self.STDOFFSET\\n tzinfo.__init__(self)\\n\\n def __repr__(self):\\n return '<LocalTimezone: UTC{0:+03d}>'.format(\\n int(self.DSTOFFSET.total_seconds() / 3600),\\n )\\n\\n def utcoffset(self, dt):\\n return self.DSTOFFSET if self._isdst(dt) else self.STDOFFSET\\n\\n def dst(self, dt):\\n return self.DSTDIFF if self._isdst(dt) else ZERO\\n\\n def tzname(self, dt):\\n return _time.tzname[self._isdst(dt)]\\n\\n if PY3: # pragma: no cover\\n\\n def fromutc(self, dt):\\n # The base tzinfo class no longer implements a DST\\n # offset aware .fromutc() in Python 3 (Issue #2306).\\n\\n # I'd rather rely on pytz to do this, than port\\n # the C code from cpython's fromutc [asksol]\\n offset = int(self.utcoffset(dt).seconds / 60.0)\\n try:\\n tz = self._offset_cache[offset]\\n except KeyError:\\n tz = self._offset_cache[offset] = FixedOffset(offset)\\n return tz.fromutc(dt.replace(tzinfo=tz))\\n\\n def _isdst(self, dt):\\n tt = (dt.year, dt.month, dt.day,\\n dt.hour, dt.minute, dt.second,\\n dt.weekday(), 0, 0)\\n stamp = _time.mktime(tt)\\n tt = _time.localtime(stamp)\\n return tt.tm_isdst > 0\\n\\n\\nclass _Zone(object):\\n\\n def tz_or_local(self, tzinfo=None):\\n # pylint: disable=redefined-outer-name\\n if tzinfo is None:\\n return self.local\\n return self.get_timezone(tzinfo)\\n\\n def to_local(self, dt, local=None, orig=None):\\n if is_naive(dt):\\n dt = make_aware(dt, orig or self.utc)\\n return localize(dt, self.tz_or_local(local))\\n\\n if PY3: # pragma: no cover\\n\\n def to_system(self, dt):\\n # tz=None is a special case since Python 3.3, and will\\n # convert to the current local timezone (Issue #2306).\\n return dt.astimezone(tz=None)\\n\\n else:\\n\\n def to_system(self, dt): # noqa\\n return localize(dt, self.local)\\n\\n def to_local_fallback(self, dt):\\n if is_naive(dt):\\n return make_aware(dt, self.local)\\n return localize(dt, self.local)\\n\\n def get_timezone(self, zone):\\n if isinstance(zone, string_t):\\n return _timezone(zone)\\n return zone\\n\\n @cached_property\\n def local(self):\\n return LocalTimezone()\\n\\n @cached_property\\n def utc(self):\\n return self.get_timezone('UTC')\\n\\n\\ntimezone = _Zone()\\n\\n\\ndef maybe_timedelta(delta):\\n \\\"\\\"\\\"Convert integer to timedelta, if argument is an integer.\\\"\\\"\\\"\\n if isinstance(delta, numbers.Real):\\n return timedelta(seconds=delta)\\n return delta\\n\\n\\ndef delta_resolution(dt, delta):\\n \\\"\\\"\\\"Round a :class:`~datetime.datetime` to the resolution of timedelta.\\n\\n If the :class:`~datetime.timedelta` is in days, the\\n :class:`~datetime.datetime` will be rounded to the nearest days,\\n if the :class:`~datetime.timedelta` is in hours the\\n :class:`~datetime.datetime` will be rounded to the nearest hour,\\n and so on until seconds, which will just return the original\\n :class:`~datetime.datetime`.\\n \\\"\\\"\\\"\\n delta = max(delta.total_seconds(), 0)\\n\\n resolutions = ((3, lambda x: x / 86400),\\n (4, lambda x: x / 3600),\\n (5, lambda x: x / 60))\\n\\n args = dt.year, dt.month, dt.day, dt.hour, dt.minute, dt.second\\n for res, predicate in resolutions:\\n if predicate(delta) >= 1.0:\\n return datetime(*args[:res], tzinfo=dt.tzinfo)\\n return dt\\n\\n\\ndef remaining(start, ends_in, now=None, relative=False):\\n \\\"\\\"\\\"Calculate the remaining time for a start date and a timedelta.\\n\\n For example, \\\"how many seconds left for 30 seconds after start?\\\"\\n\\n Arguments:\\n start (~datetime.datetime): Starting date.\\n ends_in (~datetime.timedelta): The end delta.\\n relative (bool): If enabled the end time will be calculated\\n using :func:`delta_resolution` (i.e., rounded to the\\n resolution of `ends_in`).\\n now (Callable): Function returning the current time and date.\\n Defaults to :func:`datetime.utcnow`.\\n\\n Returns:\\n ~datetime.timedelta: Remaining time.\\n \\\"\\\"\\\"\\n now = now or datetime.utcnow()\\n if str(start.tzinfo) == str(now.tzinfo) and now.utcoffset() != start.utcoffset():\\n # DST started/ended\\n start = start.replace(tzinfo=now.tzinfo)\\n end_date = start + ends_in\\n if relative:\\n end_date = delta_resolution(end_date, ends_in)\\n ret = end_date - now\\n if C_REMDEBUG: # pragma: no cover\\n print('rem: NOW:%r START:%r ENDS_IN:%r END_DATE:%s REM:%s' % (\\n now, start, ends_in, end_date, ret))\\n return ret\\n\\n\\ndef rate(r):\\n \\\"\\\"\\\"Convert rate string (`\\\"100/m\\\"`, `\\\"2/h\\\"` or `\\\"0.5/s\\\"`) to seconds.\\\"\\\"\\\"\\n if r:\\n if isinstance(r, string_t):\\n ops, _, modifier = r.partition('/')\\n return RATE_MODIFIER_MAP[modifier or 's'](float(ops)) or 0\\n return r or 0\\n return 0\\n\\n\\ndef weekday(name):\\n \\\"\\\"\\\"Return the position of a weekday: 0 - 7, where 0 is Sunday.\\n\\n Example:\\n >>> weekday('sunday'), weekday('sun'), weekday('mon')\\n (0, 0, 1)\\n \\\"\\\"\\\"\\n abbreviation = name[0:3].lower()\\n try:\\n return WEEKDAYS[abbreviation]\\n except KeyError:\\n # Show original day name in exception, instead of abbr.\\n raise KeyError(name)\\n\\n\\ndef humanize_seconds(secs, prefix='', sep='', now='now', microseconds=False):\\n \\\"\\\"\\\"Show seconds in human form.\\n\\n For example, 60 becomes \\\"1 minute\\\", and 7200 becomes \\\"2 hours\\\".\\n\\n Arguments:\\n prefix (str): can be used to add a preposition to the output\\n (e.g., 'in' will give 'in 1 second', but add nothing to 'now').\\n now (str): Literal 'now'.\\n microseconds (bool): Include microseconds.\\n \\\"\\\"\\\"\\n secs = float(format(float(secs), '.2f'))\\n for unit, divider, formatter in TIME_UNITS:\\n if secs >= divider:\\n w = secs / float(divider)\\n return '{0}{1}{2} {3}'.format(prefix, sep, formatter(w),\\n pluralize(w, unit))\\n if microseconds and secs > 0.0:\\n return '{prefix}{sep}{0:.2f} seconds'.format(\\n secs, sep=sep, prefix=prefix)\\n return now\\n\\n\\ndef maybe_iso8601(dt):\\n \\\"\\\"\\\"Either ``datetime | str -> datetime`` or ``None -> None``.\\\"\\\"\\\"\\n if not dt:\\n return\\n if isinstance(dt, datetime):\\n return dt\\n return parse_iso8601(dt)\\n\\n\\ndef is_naive(dt):\\n \\\"\\\"\\\"Return :const:`True` if :class:`~datetime.datetime` is naive.\\\"\\\"\\\"\\n return dt.tzinfo is None or dt.tzinfo.utcoffset(dt) is None\\n\\n\\ndef make_aware(dt, tz):\\n \\\"\\\"\\\"Set timezone for a :class:`~datetime.datetime` object.\\\"\\\"\\\"\\n try:\\n _localize = tz.localize\\n except AttributeError:\\n return dt.replace(tzinfo=tz)\\n else:\\n # works on pytz timezones\\n try:\\n return _localize(dt, is_dst=None)\\n except AmbiguousTimeError:\\n return min(_localize(dt, is_dst=True),\\n _localize(dt, is_dst=False))\\n\\n\\ndef localize(dt, tz):\\n \\\"\\\"\\\"Convert aware :class:`~datetime.datetime` to another timezone.\\\"\\\"\\\"\\n if is_naive(dt): # Ensure timezone aware datetime\\n dt = make_aware(dt, tz)\\n if dt.tzinfo == utc:\\n dt = dt.astimezone(tz) # Always safe to call astimezone on utc zones\\n try:\\n _normalize = tz.normalize\\n except AttributeError: # non-pytz tz\\n return dt\\n else:\\n try:\\n return _normalize(dt, is_dst=None)\\n except TypeError:\\n return _normalize(dt)\\n except AmbiguousTimeError:\\n return min(_normalize(dt, is_dst=True),\\n _normalize(dt, is_dst=False))\\n\\n\\ndef to_utc(dt):\\n \\\"\\\"\\\"Convert naive :class:`~datetime.datetime` to UTC.\\\"\\\"\\\"\\n return make_aware(dt, timezone.utc)\\n\\n\\ndef maybe_make_aware(dt, tz=None):\\n \\\"\\\"\\\"Convert dt to aware datetime, do nothing if dt is already aware.\\\"\\\"\\\"\\n if is_naive(dt):\\n dt = to_utc(dt)\\n return localize(\\n dt, timezone.utc if tz is None else timezone.tz_or_local(tz),\\n )\\n return dt\\n\\n\\n@python_2_unicode_compatible\\nclass ffwd(object):\\n \\\"\\\"\\\"Version of ``dateutil.relativedelta`` that only supports addition.\\\"\\\"\\\"\\n\\n def __init__(self, year=None, month=None, weeks=0, weekday=None, day=None,\\n hour=None, minute=None, second=None, microsecond=None,\\n **kwargs):\\n # pylint: disable=redefined-outer-name\\n # weekday is also a function in outer scope.\\n self.year = year\\n self.month = month\\n self.weeks = weeks\\n self.weekday = weekday\\n self.day = day\\n self.hour = hour\\n self.minute = minute\\n self.second = second\\n self.microsecond = microsecond\\n self.days = weeks * 7\\n self._has_time = self.hour is not None or self.minute is not None\\n\\n def __repr__(self):\\n return reprcall('ffwd', (), self._fields(weeks=self.weeks,\\n weekday=self.weekday))\\n\\n def __radd__(self, other):\\n if not isinstance(other, date):\\n return NotImplemented\\n year = self.year or other.year\\n month = self.month or other.month\\n day = min(monthrange(year, month)[1], self.day or other.day)\\n ret = other.replace(**dict(dictfilter(self._fields()),\\n year=year, month=month, day=day))\\n if self.weekday is not None:\\n ret += timedelta(days=(7 - ret.weekday() + self.weekday) % 7)\\n return ret + timedelta(days=self.days)\\n\\n def _fields(self, **extra):\\n return dictfilter({\\n 'year': self.year, 'month': self.month, 'day': self.day,\\n 'hour': self.hour, 'minute': self.minute,\\n 'second': self.second, 'microsecond': self.microsecond,\\n }, **extra)\\n\\n\\ndef utcoffset(time=_time, localtime=_time.localtime):\\n \\\"\\\"\\\"Return the current offset to UTC in hours.\\\"\\\"\\\"\\n if localtime().tm_isdst:\\n return time.altzone // 3600\\n return time.timezone // 3600\\n\\n\\ndef adjust_timestamp(ts, offset, here=utcoffset):\\n \\\"\\\"\\\"Adjust timestamp based on provided utcoffset.\\\"\\\"\\\"\\n return ts - (offset - here()) * 3600\\n\\n\\ndef get_exponential_backoff_interval(\\n factor,\\n retries,\\n maximum,\\n full_jitter=False\\n):\\n \\\"\\\"\\\"Calculate the exponential backoff wait time.\\\"\\\"\\\"\\n # Will be zero if factor equals 0\\n countdown = factor * (2 ** retries)\\n # Full jitter according to\\n # https://www.awsarchitectureblog.com/2015/03/backoff.html\\n if full_jitter:\\n countdown = random.randrange(countdown + 1)\\n # Adjust according to maximum wait time and account for negative values.\\n return max(0, min(maximum, countdown))\\n\",\n \"path\": \"celery/utils/time.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/celery/utils/time.py b/celery/utils/time.py\nindex 4783c767942..c93cbe1ebbf 100644\n--- a/celery/utils/time.py\n+++ b/celery/utils/time.py\n@@ -207,8 +207,8 @@ def remaining(start, ends_in, now=None, relative=False):\n ~datetime.timedelta: Remaining time.\n \"\"\"\n now = now or datetime.utcnow()\n- if now.utcoffset() != start.utcoffset():\n- # Timezone has changed, or DST started/ended\n+ if str(start.tzinfo) == str(now.tzinfo) and now.utcoffset() != start.utcoffset():\n+ # DST started/ended\n start = start.replace(tzinfo=now.tzinfo)\n end_date = start + ends_in\n if relative:\ndiff --git a/t/unit/utils/test_time.py b/t/unit/utils/test_time.py\nindex 5587b2783e6..ddd1800d321 100644\n--- a/t/unit/utils/test_time.py\n+++ b/t/unit/utils/test_time.py\n@@ -107,9 +107,53 @@ def test_maybe_timedelta(arg, expected):\n assert maybe_timedelta(arg) == expected\n \n \n-def test_remaining_relative():\n+def test_remaining():\n+ # Relative\n remaining(datetime.utcnow(), timedelta(hours=1), relative=True)\n \n+ \"\"\"\n+ The upcoming cases check whether the next run is calculated correctly\n+ \"\"\"\n+ eastern_tz = pytz.timezone(\"US/Eastern\")\n+ tokyo_tz = pytz.timezone(\"Asia/Tokyo\")\n+\n+ # Case 1: `start` in UTC and `now` in other timezone\n+ start = datetime.now(pytz.utc)\n+ now = datetime.now(eastern_tz)\n+ delta = timedelta(hours=1)\n+ assert str(start.tzinfo) == str(pytz.utc)\n+ assert str(now.tzinfo) == str(eastern_tz)\n+ rem_secs = remaining(start, delta, now).total_seconds()\n+ # assert remaining time is approximately equal to delta\n+ assert rem_secs == pytest.approx(delta.total_seconds(), abs=1)\n+\n+ # Case 2: `start` and `now` in different timezones (other than UTC)\n+ start = datetime.now(eastern_tz)\n+ now = datetime.now(tokyo_tz)\n+ delta = timedelta(hours=1)\n+ assert str(start.tzinfo) == str(eastern_tz)\n+ assert str(now.tzinfo) == str(tokyo_tz)\n+ rem_secs = remaining(start, delta, now).total_seconds()\n+ assert rem_secs == pytest.approx(delta.total_seconds(), abs=1)\n+\n+ \"\"\"\n+ Case 3: DST check\n+ Suppose start (which is last_run_time) is in EST while next_run is in EDT, then\n+ check whether the `next_run` is actually the time specified in the start (i.e. there is not an hour diff due to DST).\n+ In 2019, DST starts on March 10\n+ \"\"\"\n+ start = eastern_tz.localize(datetime(month=3, day=9, year=2019, hour=10, minute=0)) # EST\n+ now = eastern_tz.localize(datetime(day=11, month=3, year=2019, hour=1, minute=0)) # EDT\n+ delta = ffwd(hour=10, year=2019, microsecond=0, minute=0, second=0, day=11, weeks=0, month=3)\n+ # `next_actual_time` is the next time to run (derived from delta)\n+ next_actual_time = eastern_tz.localize(datetime(day=11, month=3, year=2019, hour=10, minute=0)) # EDT\n+ assert start.tzname() == \"EST\"\n+ assert now.tzname() == \"EDT\"\n+ assert next_actual_time.tzname() == \"EDT\"\n+ rem_time = remaining(start, delta, now)\n+ next_run = now + rem_time\n+ assert next_run == next_actual_time\n+\n \n class test_timezone:\n \n"}}},{"rowIdx":6594,"cells":{"in_source_id":{"kind":"string","value":"DataBiosphere__toil-2583"},"issue":{"kind":"string","value":"Env value of TOIL_DOCKER_REGISTRY is not honored in the docker image\nWhen a docker image is build with a custom `TOIL_DOCKER_REGISTRY`, the built docker image still looks at `quay.io/ucsc_cgl` for pulling related images (e.g. `mtail`, `grafana`, etc). The fix is to put the actual registry in `version_template.py`.\n"},"before_files":{"kind":"list like","value":[{"content":"# Copyright (C) 2015-2018 Regents of the University of California\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\"\"\"This script is a template for src/toil/version.py. Running it without arguments echoes all\nglobals, i.e. module attributes. Constant assignments will be echoed verbatim while callables\nwill be invoked and their result echoed as an assignment using the function name as the left-hand\nside and the return value of the function as right-hand side. To prevent a module attribute from\nbeing echoed, start or end the attribute name with an underscore. To print the value of a single\nsymbol, pass the name of that attribute to the script as a command line argument. You can also\nimport the expand_ function and invoke it directly with either no or exactly one argument.\"\"\"\n\n# Note to maintainers:\n#\n# - don't import at module level unless you want the imported value to be included in the output\n# - only import from the Python standard run-time library (you can't have any dependencies)\n\n\nbaseVersion = '3.20.0a1'\ncgcloudVersion = '1.6.0a1.dev393'\ndockerRegistry = 'quay.io/ucsc_cgl'\ndockerName = 'toil'\n\n\ndef version():\n \"\"\"\n A version identifier that includes the full-legth commit SHA1 and an optional suffix to\n indicate that the working copy is dirty.\n \"\"\"\n return _version()\n\n\ndef shortVersion():\n \"\"\"\n A version identifier that includes the abbreviated commit SHA1 and an optional suffix to\n indicate that the working copy is dirty.\n \"\"\"\n return _version(shorten=True)\n\n\ndef _version(shorten=False):\n return '-'.join(filter(None, [distVersion(),\n currentCommit()[:7 if shorten else None],\n ('dirty' if dirty() else None)]))\n\n\ndef distVersion():\n \"\"\"\n The distribution version identifying a published release on PyPI.\n \"\"\"\n from pkg_resources import parse_version\n build_number = buildNumber()\n parsedBaseVersion = parse_version(baseVersion)\n if isinstance(parsedBaseVersion, tuple):\n raise RuntimeError(\"Setuptools version 8.0 or newer required. Update by running \"\n \"'pip install setuptools --upgrade'\")\n\n if build_number is not None and parsedBaseVersion.is_prerelease:\n return baseVersion + '.dev' + build_number\n else:\n return baseVersion\n\n\ndef dockerTag():\n \"\"\"\n The primary tag of the Docker image for the appliance. This uniquely identifies the appliance\n image.\n \"\"\"\n return version()\n\n\ndef dockerShortTag():\n \"\"\"\n A secondary, shortened form of :func:`dockerTag` with which to tag the appliance image for\n convenience.\n \"\"\"\n return shortVersion()\n\n\ndef dockerMinimalTag():\n \"\"\"\n A minimal tag with which to tag the appliance image for convenience. Does not include\n information about the git commit or working copy dirtyness.\n \"\"\"\n return distVersion()\n\n\ndef buildNumber():\n \"\"\"\n The Jenkins build number, if defined, else None.\n \"\"\"\n import os\n return os.getenv('BUILD_NUMBER')\n\n\ndef currentCommit():\n from subprocess import check_output\n try:\n output = check_output('git log --pretty=oneline -n 1 -- $(pwd)', shell=True).decode('utf-8').split()[0]\n except:\n # Return this we are not in a git environment.\n return '000'\n if isinstance(output, bytes):\n return output.decode('utf-8')\n return str(output)\n\n\ndef dirty():\n from subprocess import call\n try:\n return 0 != call('(git diff --exit-code '\n '&& git diff --cached --exit-code) > /dev/null', shell=True)\n except:\n return False # In case the git call fails.\n\n\ndef expand_(name=None):\n variables = {k: v for k, v in globals().items()\n if not k.startswith('_') and not k.endswith('_')}\n\n def resolve(k):\n v = variables[k]\n if callable(v):\n v = v()\n return v\n\n if name is None:\n return ''.join(\"%s = %s\\n\" % (k, repr(resolve(k))) for k, v in variables.items())\n else:\n return resolve(name)\n\n\ndef _main():\n import sys\n sys.stdout.write(expand_(*sys.argv[1:]))\n\n\nif __name__ == '__main__':\n _main()\n","path":"version_template.py"}],"string":"[\n {\n \"content\": \"# Copyright (C) 2015-2018 Regents of the University of California\\n#\\n# Licensed under the Apache License, Version 2.0 (the \\\"License\\\");\\n# you may not use this file except in compliance with the License.\\n# You may obtain a copy of the License at\\n#\\n# http://www.apache.org/licenses/LICENSE-2.0\\n#\\n# Unless required by applicable law or agreed to in writing, software\\n# distributed under the License is distributed on an \\\"AS IS\\\" BASIS,\\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\\n# See the License for the specific language governing permissions and\\n# limitations under the License.\\n\\n\\\"\\\"\\\"This script is a template for src/toil/version.py. Running it without arguments echoes all\\nglobals, i.e. module attributes. Constant assignments will be echoed verbatim while callables\\nwill be invoked and their result echoed as an assignment using the function name as the left-hand\\nside and the return value of the function as right-hand side. To prevent a module attribute from\\nbeing echoed, start or end the attribute name with an underscore. To print the value of a single\\nsymbol, pass the name of that attribute to the script as a command line argument. You can also\\nimport the expand_ function and invoke it directly with either no or exactly one argument.\\\"\\\"\\\"\\n\\n# Note to maintainers:\\n#\\n# - don't import at module level unless you want the imported value to be included in the output\\n# - only import from the Python standard run-time library (you can't have any dependencies)\\n\\n\\nbaseVersion = '3.20.0a1'\\ncgcloudVersion = '1.6.0a1.dev393'\\ndockerRegistry = 'quay.io/ucsc_cgl'\\ndockerName = 'toil'\\n\\n\\ndef version():\\n \\\"\\\"\\\"\\n A version identifier that includes the full-legth commit SHA1 and an optional suffix to\\n indicate that the working copy is dirty.\\n \\\"\\\"\\\"\\n return _version()\\n\\n\\ndef shortVersion():\\n \\\"\\\"\\\"\\n A version identifier that includes the abbreviated commit SHA1 and an optional suffix to\\n indicate that the working copy is dirty.\\n \\\"\\\"\\\"\\n return _version(shorten=True)\\n\\n\\ndef _version(shorten=False):\\n return '-'.join(filter(None, [distVersion(),\\n currentCommit()[:7 if shorten else None],\\n ('dirty' if dirty() else None)]))\\n\\n\\ndef distVersion():\\n \\\"\\\"\\\"\\n The distribution version identifying a published release on PyPI.\\n \\\"\\\"\\\"\\n from pkg_resources import parse_version\\n build_number = buildNumber()\\n parsedBaseVersion = parse_version(baseVersion)\\n if isinstance(parsedBaseVersion, tuple):\\n raise RuntimeError(\\\"Setuptools version 8.0 or newer required. Update by running \\\"\\n \\\"'pip install setuptools --upgrade'\\\")\\n\\n if build_number is not None and parsedBaseVersion.is_prerelease:\\n return baseVersion + '.dev' + build_number\\n else:\\n return baseVersion\\n\\n\\ndef dockerTag():\\n \\\"\\\"\\\"\\n The primary tag of the Docker image for the appliance. This uniquely identifies the appliance\\n image.\\n \\\"\\\"\\\"\\n return version()\\n\\n\\ndef dockerShortTag():\\n \\\"\\\"\\\"\\n A secondary, shortened form of :func:`dockerTag` with which to tag the appliance image for\\n convenience.\\n \\\"\\\"\\\"\\n return shortVersion()\\n\\n\\ndef dockerMinimalTag():\\n \\\"\\\"\\\"\\n A minimal tag with which to tag the appliance image for convenience. Does not include\\n information about the git commit or working copy dirtyness.\\n \\\"\\\"\\\"\\n return distVersion()\\n\\n\\ndef buildNumber():\\n \\\"\\\"\\\"\\n The Jenkins build number, if defined, else None.\\n \\\"\\\"\\\"\\n import os\\n return os.getenv('BUILD_NUMBER')\\n\\n\\ndef currentCommit():\\n from subprocess import check_output\\n try:\\n output = check_output('git log --pretty=oneline -n 1 -- $(pwd)', shell=True).decode('utf-8').split()[0]\\n except:\\n # Return this we are not in a git environment.\\n return '000'\\n if isinstance(output, bytes):\\n return output.decode('utf-8')\\n return str(output)\\n\\n\\ndef dirty():\\n from subprocess import call\\n try:\\n return 0 != call('(git diff --exit-code '\\n '&& git diff --cached --exit-code) > /dev/null', shell=True)\\n except:\\n return False # In case the git call fails.\\n\\n\\ndef expand_(name=None):\\n variables = {k: v for k, v in globals().items()\\n if not k.startswith('_') and not k.endswith('_')}\\n\\n def resolve(k):\\n v = variables[k]\\n if callable(v):\\n v = v()\\n return v\\n\\n if name is None:\\n return ''.join(\\\"%s = %s\\\\n\\\" % (k, repr(resolve(k))) for k, v in variables.items())\\n else:\\n return resolve(name)\\n\\n\\ndef _main():\\n import sys\\n sys.stdout.write(expand_(*sys.argv[1:]))\\n\\n\\nif __name__ == '__main__':\\n _main()\\n\",\n \"path\": \"version_template.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"# Copyright (C) 2015-2018 Regents of the University of California\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\"\"\"This script is a template for src/toil/version.py. Running it without arguments echoes all\nglobals, i.e. module attributes. Constant assignments will be echoed verbatim while callables\nwill be invoked and their result echoed as an assignment using the function name as the left-hand\nside and the return value of the function as right-hand side. To prevent a module attribute from\nbeing echoed, start or end the attribute name with an underscore. To print the value of a single\nsymbol, pass the name of that attribute to the script as a command line argument. You can also\nimport the expand_ function and invoke it directly with either no or exactly one argument.\"\"\"\n\n# Note to maintainers:\n#\n# - don't import at module level unless you want the imported value to be included in the output\n# - only import from the Python standard run-time library (you can't have any dependencies)\n\n\nbaseVersion = '3.20.0a1'\ncgcloudVersion = '1.6.0a1.dev393'\ndockerName = 'toil'\n\n\ndef version():\n \"\"\"\n A version identifier that includes the full-legth commit SHA1 and an optional suffix to\n indicate that the working copy is dirty.\n \"\"\"\n return _version()\n\n\ndef shortVersion():\n \"\"\"\n A version identifier that includes the abbreviated commit SHA1 and an optional suffix to\n indicate that the working copy is dirty.\n \"\"\"\n return _version(shorten=True)\n\n\ndef _version(shorten=False):\n return '-'.join(filter(None, [distVersion(),\n currentCommit()[:7 if shorten else None],\n ('dirty' if dirty() else None)]))\n\n\ndef distVersion():\n \"\"\"\n The distribution version identifying a published release on PyPI.\n \"\"\"\n from pkg_resources import parse_version\n build_number = buildNumber()\n parsedBaseVersion = parse_version(baseVersion)\n if isinstance(parsedBaseVersion, tuple):\n raise RuntimeError(\"Setuptools version 8.0 or newer required. Update by running \"\n \"'pip install setuptools --upgrade'\")\n\n if build_number is not None and parsedBaseVersion.is_prerelease:\n return baseVersion + '.dev' + build_number\n else:\n return baseVersion\n\n\ndef dockerTag():\n \"\"\"\n The primary tag of the Docker image for the appliance. This uniquely identifies the appliance\n image.\n \"\"\"\n return version()\n\n\ndef dockerShortTag():\n \"\"\"\n A secondary, shortened form of :func:`dockerTag` with which to tag the appliance image for\n convenience.\n \"\"\"\n return shortVersion()\n\n\ndef dockerMinimalTag():\n \"\"\"\n A minimal tag with which to tag the appliance image for convenience. Does not include\n information about the git commit or working copy dirtyness.\n \"\"\"\n return distVersion()\n\n\ndef buildNumber():\n \"\"\"\n The Jenkins build number, if defined, else None.\n \"\"\"\n import os\n return os.getenv('BUILD_NUMBER')\n\n\ndef currentCommit():\n from subprocess import check_output\n try:\n output = check_output('git log --pretty=oneline -n 1 -- $(pwd)', shell=True).decode('utf-8').split()[0]\n except:\n # Return this we are not in a git environment.\n return '000'\n if isinstance(output, bytes):\n return output.decode('utf-8')\n return str(output)\n\n\ndef dockerRegistry():\n import os\n return os.getenv('TOIL_DOCKER_REGISTRY', 'quay.io/ucsc_cgl')\n\n\ndef dirty():\n from subprocess import call\n try:\n return 0 != call('(git diff --exit-code '\n '&& git diff --cached --exit-code) > /dev/null', shell=True)\n except:\n return False # In case the git call fails.\n\n\ndef expand_(name=None):\n variables = {k: v for k, v in globals().items()\n if not k.startswith('_') and not k.endswith('_')}\n\n def resolve(k):\n v = variables[k]\n if callable(v):\n v = v()\n return v\n\n if name is None:\n return ''.join(\"%s = %s\\n\" % (k, repr(resolve(k))) for k, v in variables.items())\n else:\n return resolve(name)\n\n\ndef _main():\n import sys\n sys.stdout.write(expand_(*sys.argv[1:]))\n\n\nif __name__ == '__main__':\n _main()\n","path":"version_template.py"}],"string":"[\n {\n \"content\": \"# Copyright (C) 2015-2018 Regents of the University of California\\n#\\n# Licensed under the Apache License, Version 2.0 (the \\\"License\\\");\\n# you may not use this file except in compliance with the License.\\n# You may obtain a copy of the License at\\n#\\n# http://www.apache.org/licenses/LICENSE-2.0\\n#\\n# Unless required by applicable law or agreed to in writing, software\\n# distributed under the License is distributed on an \\\"AS IS\\\" BASIS,\\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\\n# See the License for the specific language governing permissions and\\n# limitations under the License.\\n\\n\\\"\\\"\\\"This script is a template for src/toil/version.py. Running it without arguments echoes all\\nglobals, i.e. module attributes. Constant assignments will be echoed verbatim while callables\\nwill be invoked and their result echoed as an assignment using the function name as the left-hand\\nside and the return value of the function as right-hand side. To prevent a module attribute from\\nbeing echoed, start or end the attribute name with an underscore. To print the value of a single\\nsymbol, pass the name of that attribute to the script as a command line argument. You can also\\nimport the expand_ function and invoke it directly with either no or exactly one argument.\\\"\\\"\\\"\\n\\n# Note to maintainers:\\n#\\n# - don't import at module level unless you want the imported value to be included in the output\\n# - only import from the Python standard run-time library (you can't have any dependencies)\\n\\n\\nbaseVersion = '3.20.0a1'\\ncgcloudVersion = '1.6.0a1.dev393'\\ndockerName = 'toil'\\n\\n\\ndef version():\\n \\\"\\\"\\\"\\n A version identifier that includes the full-legth commit SHA1 and an optional suffix to\\n indicate that the working copy is dirty.\\n \\\"\\\"\\\"\\n return _version()\\n\\n\\ndef shortVersion():\\n \\\"\\\"\\\"\\n A version identifier that includes the abbreviated commit SHA1 and an optional suffix to\\n indicate that the working copy is dirty.\\n \\\"\\\"\\\"\\n return _version(shorten=True)\\n\\n\\ndef _version(shorten=False):\\n return '-'.join(filter(None, [distVersion(),\\n currentCommit()[:7 if shorten else None],\\n ('dirty' if dirty() else None)]))\\n\\n\\ndef distVersion():\\n \\\"\\\"\\\"\\n The distribution version identifying a published release on PyPI.\\n \\\"\\\"\\\"\\n from pkg_resources import parse_version\\n build_number = buildNumber()\\n parsedBaseVersion = parse_version(baseVersion)\\n if isinstance(parsedBaseVersion, tuple):\\n raise RuntimeError(\\\"Setuptools version 8.0 or newer required. Update by running \\\"\\n \\\"'pip install setuptools --upgrade'\\\")\\n\\n if build_number is not None and parsedBaseVersion.is_prerelease:\\n return baseVersion + '.dev' + build_number\\n else:\\n return baseVersion\\n\\n\\ndef dockerTag():\\n \\\"\\\"\\\"\\n The primary tag of the Docker image for the appliance. This uniquely identifies the appliance\\n image.\\n \\\"\\\"\\\"\\n return version()\\n\\n\\ndef dockerShortTag():\\n \\\"\\\"\\\"\\n A secondary, shortened form of :func:`dockerTag` with which to tag the appliance image for\\n convenience.\\n \\\"\\\"\\\"\\n return shortVersion()\\n\\n\\ndef dockerMinimalTag():\\n \\\"\\\"\\\"\\n A minimal tag with which to tag the appliance image for convenience. Does not include\\n information about the git commit or working copy dirtyness.\\n \\\"\\\"\\\"\\n return distVersion()\\n\\n\\ndef buildNumber():\\n \\\"\\\"\\\"\\n The Jenkins build number, if defined, else None.\\n \\\"\\\"\\\"\\n import os\\n return os.getenv('BUILD_NUMBER')\\n\\n\\ndef currentCommit():\\n from subprocess import check_output\\n try:\\n output = check_output('git log --pretty=oneline -n 1 -- $(pwd)', shell=True).decode('utf-8').split()[0]\\n except:\\n # Return this we are not in a git environment.\\n return '000'\\n if isinstance(output, bytes):\\n return output.decode('utf-8')\\n return str(output)\\n\\n\\ndef dockerRegistry():\\n import os\\n return os.getenv('TOIL_DOCKER_REGISTRY', 'quay.io/ucsc_cgl')\\n\\n\\ndef dirty():\\n from subprocess import call\\n try:\\n return 0 != call('(git diff --exit-code '\\n '&& git diff --cached --exit-code) > /dev/null', shell=True)\\n except:\\n return False # In case the git call fails.\\n\\n\\ndef expand_(name=None):\\n variables = {k: v for k, v in globals().items()\\n if not k.startswith('_') and not k.endswith('_')}\\n\\n def resolve(k):\\n v = variables[k]\\n if callable(v):\\n v = v()\\n return v\\n\\n if name is None:\\n return ''.join(\\\"%s = %s\\\\n\\\" % (k, repr(resolve(k))) for k, v in variables.items())\\n else:\\n return resolve(name)\\n\\n\\ndef _main():\\n import sys\\n sys.stdout.write(expand_(*sys.argv[1:]))\\n\\n\\nif __name__ == '__main__':\\n _main()\\n\",\n \"path\": \"version_template.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/version_template.py b/version_template.py\nindex 1374ae0da5..60036922d5 100644\n--- a/version_template.py\n+++ b/version_template.py\n@@ -28,7 +28,6 @@\n \n baseVersion = '3.20.0a1'\n cgcloudVersion = '1.6.0a1.dev393'\n-dockerRegistry = 'quay.io/ucsc_cgl'\n dockerName = 'toil'\n \n \n@@ -115,6 +114,11 @@ def currentCommit():\n return str(output)\n \n \n+def dockerRegistry():\n+ import os\n+ return os.getenv('TOIL_DOCKER_REGISTRY', 'quay.io/ucsc_cgl')\n+\n+\n def dirty():\n from subprocess import call\n try:\n"}}},{"rowIdx":6595,"cells":{"in_source_id":{"kind":"string","value":"liberapay__liberapay.com-917"},"issue":{"kind":"string","value":"Incomplete translation warning\nIt's not good that we display partially translated pages to users, but what's worse is that we don't display a warning about the translation being incomplete.\n"},"before_files":{"kind":"list like","value":[{"content":"# encoding: utf8\nfrom __future__ import print_function, unicode_literals\n\nfrom collections import namedtuple, OrderedDict\nfrom datetime import date, datetime, timedelta\nfrom decimal import Decimal, InvalidOperation\nfrom hashlib import md5\nfrom io import BytesIO\nimport re\nfrom unicodedata import combining, normalize\n\nfrom six import text_type\n\nfrom aspen.simplates.pagination import parse_specline, split_and_escape\nimport babel.core\nfrom babel.dates import format_date, format_datetime, format_timedelta\nfrom babel.messages.extract import extract_python\nfrom babel.messages.pofile import Catalog\nfrom babel.numbers import (\n format_currency, format_decimal, format_number, format_percent,\n NumberFormatError, parse_decimal\n)\nimport jinja2.ext\nfrom mangopay.utils import Money\nfrom markupsafe import Markup\nfrom pando.utils import utcnow\n\nfrom liberapay.constants import CURRENCIES\nfrom liberapay.exceptions import InvalidNumber\nfrom liberapay.utils.currencies import MoneyBasket\nfrom liberapay.website import website\n\n\ndef LegacyMoney(o):\n return o if isinstance(o, (Money, MoneyBasket)) else Money(o, 'EUR')\n\n\nWrap = namedtuple('Wrap', 'value wrapper')\n\n\nBOLD = Markup('<b>%s</b>')\n\n\ndef Bold(value):\n return Wrap(value, BOLD)\n\n\nclass Age(timedelta):\n\n def __new__(cls, *a, **kw):\n if len(a) == 1 and not kw and isinstance(a[0], timedelta):\n return timedelta.__new__(cls, a[0].days, a[0].seconds, a[0].microseconds)\n return timedelta.__new__(cls, *a, **kw)\n\n\nclass Locale(babel.core.Locale):\n\n def __init__(self, *a, **kw):\n super(Locale, self).__init__(*a, **kw)\n self.decimal_symbol = self.number_symbols.get('decimal', '.')\n delta_p = self.currency_formats['standard'].pattern\n assert ';' not in delta_p\n self.currency_delta_pattern = '+{0};-{0}'.format(delta_p)\n\n def format_money(self, m, format=None, trailing_zeroes=True):\n s = format_currency(m.amount, m.currency, format, locale=self)\n if not trailing_zeroes:\n s = s.replace(self.decimal_symbol + '00', '')\n return s\n\n def format_date(self, *a):\n return format_date(*a, locale=self)\n\n def format_datetime(self, *a):\n return format_datetime(*a, locale=self)\n\n def format_decimal(self, *a):\n return format_decimal(*a, locale=self)\n\n def format_list(self, l):\n n = len(l)\n if n > 2:\n last = n - 2\n r = l[0]\n for i, item in enumerate(l[1:]):\n r = self.list_patterns[\n 'start' if i == 0 else 'end' if i == last else 'middle'\n ].format(r, item)\n return r\n elif n == 2:\n return self.list_patterns['2'].format(*l)\n else:\n return l[0] if n == 1 else None\n\n def format_money_basket(self, basket, sep=','):\n items = (\n format_currency(money.amount, money.currency, locale=self)\n for money in basket if money\n )\n if sep == ',':\n r = self.format_list(list(items))\n else:\n r = sep.join(items)\n return r or '0'\n\n def format_money_delta(self, money, *a):\n return format_currency(\n money.amount, money.currency, *a,\n format=self.currency_delta_pattern, locale=self\n )\n\n def format_number(self, *a):\n return format_number(*a, locale=self)\n\n def format_percent(self, *a):\n return format_percent(*a, locale=self)\n\n def parse_decimal_or_400(self, s, *a):\n try:\n return parse_decimal(s, *a, locale=self)\n except (InvalidOperation, NumberFormatError, ValueError):\n raise InvalidNumber(s)\n\n @staticmethod\n def title(s):\n return s[0].upper() + s[1:] if s and s[0].islower() else s\n\n def to_age_str(self, o, **kw):\n if not isinstance(o, datetime):\n kw.setdefault('granularity', 'day')\n return format_timedelta(to_age(o), locale=self, **kw)\n\n\nALIASES = {k: v.lower() for k, v in babel.core.LOCALE_ALIASES.items()}\nALIASES_R = {v: k for k, v in ALIASES.items()}\n\n\ndef strip_accents(s):\n return ''.join(c for c in normalize('NFKD', s) if not combining(c))\n\n\ndef make_sorted_dict(keys, d):\n items = ((k, d[k]) for k in keys)\n return OrderedDict(sorted(items, key=lambda t: strip_accents(t[1])))\n\n\nCOUNTRY_CODES = \"\"\"\n AD AE AF AG AI AL AM AO AQ AR AS AT AU AW AX AZ BA BB BD BE BF BG BH BI BJ\n BL BM BN BO BQ BR BS BT BV BW BY BZ CA CC CD CF CG CH CI CK CL CM CN CO CR\n CU CV CW CX CY CZ DE DJ DK DM DO DZ EC EE EG EH ER ES ET FI FJ FK FM FO FR\n GA GB GD GE GF GG GH GI GL GM GN GP GQ GR GS GT GU GW GY HK HM HN HR HT HU\n ID IE IL IM IN IO IQ IR IS IT JE JM JO JP KE KG KH KI KM KN KP KR KW KY KZ\n LA LB LC LI LK LR LS LT LU LV LY MA MC MD ME MF MG MH MK ML MM MN MO MP MQ\n MR MS MT MU MV MW MX MY MZ NA NC NE NF NG NI NL NO NP NR NU NZ OM PA PE PF\n PG PH PK PL PM PN PR PS PT PW PY QA RE RO RS RU RW SA SB SC SD SE SG SH SI\n SJ SK SL SM SN SO SR SS ST SV SX SY SZ TC TD TF TG TH TJ TK TL TM TN TO TR\n TT TV TW TZ UA UG UM US UY UZ VA VC VE VG VI VN VU WF WS YE YT ZA ZM ZW\n\"\"\".split()\n\nCOUNTRIES = make_sorted_dict(COUNTRY_CODES, Locale('en').territories)\n\nCURRENCIES_MAP = {\n k: v[-1][0]\n for k, v in babel.core.get_global('territory_currencies').items()\n if v[-1][0] in CURRENCIES\n}\n\nLANGUAGE_CODES_2 = \"\"\"\n aa af ak am ar as az be bg bm bn bo br bs ca cs cy da de dz ee el en eo es\n et eu fa ff fi fo fr ga gd gl gu gv ha he hi hr hu hy ia id ig ii is it ja\n ka ki kk kl km kn ko ks kw ky lg ln lo lt lu lv mg mk ml mn mr ms mt my nb\n nd ne nl nn nr om or os pa pl ps pt rm rn ro ru rw se sg si sk sl sn so sq\n sr ss st sv sw ta te tg th ti tn to tr ts uk ur uz ve vi vo xh yo zh zu\n\"\"\".split()\n\nLANGUAGES_2 = make_sorted_dict(LANGUAGE_CODES_2, Locale('en').languages)\n\nLOCALES = {}\nLOCALE_EN = LOCALES['en'] = Locale('en')\nLOCALE_EN.catalog = Catalog('en')\nLOCALE_EN.catalog.plural_func = lambda n: n != 1\nLOCALE_EN.countries = COUNTRIES\nLOCALE_EN.languages_2 = LANGUAGES_2\n\n\nSEARCH_CONFS = dict((\n ('da', 'danish'),\n ('de', 'german'),\n ('en', 'english'),\n ('es', 'spanish'),\n ('fi', 'finnish'),\n ('fr', 'french'),\n ('hu', 'hungarian'),\n ('it', 'italian'),\n ('nb', 'norwegian'),\n ('nl', 'dutch'),\n ('nn', 'norwegian'),\n ('pt', 'portuguese'),\n ('ro', 'romanian'),\n ('ru', 'russian'),\n ('sv', 'swedish'),\n ('tr', 'turkish'),\n))\n\n\n_ = lambda a: a\nHTTP_ERRORS = {\n 403: _(\"Forbidden\"),\n 404: _(\"Not Found\"),\n 429: _(\"Too Many Requests\"),\n 500: _(\"Internal Server Error\"),\n 502: _(\"Upstream Error\"),\n 503: _(\"Service Unavailable\"),\n 504: _(\"Gateway Timeout\"),\n}\ndel _\n\n\nternary_re = re.compile(r'^\\(? *(.+?) *\\? *(.+?) *: *(.+?) *\\)?$')\nand_re = re.compile(r' *&& *')\nor_re = re.compile(r' *\\|\\| *')\n\n\ndef ternary_sub(m):\n g1, g2, g3 = m.groups()\n return '%s if %s else %s' % (g2, g1, ternary_re.sub(ternary_sub, g3))\n\n\ndef get_function_from_rule(rule):\n rule = ternary_re.sub(ternary_sub, rule.strip())\n rule = and_re.sub(' and ', rule)\n rule = or_re.sub(' or ', rule)\n return eval('lambda n: ' + rule, {'__builtins__': {}})\n\n\ndef _decode(o):\n return o.decode('ascii') if isinstance(o, bytes) else o\n\n\ndef i_format(loc, s, *a, **kw):\n if a:\n a = list(a)\n for c, f in [(a, enumerate), (kw, dict.items)]:\n for k, o in f(c):\n o, wrapper = (o.value, o.wrapper) if isinstance(o, Wrap) else (o, None)\n if isinstance(o, text_type):\n pass\n elif isinstance(o, Decimal):\n c[k] = format_decimal(o, locale=loc)\n elif isinstance(o, int):\n c[k] = format_number(o, locale=loc)\n elif isinstance(o, Money):\n c[k] = loc.format_money(o)\n elif isinstance(o, MoneyBasket):\n c[k] = loc.format_money_basket(o)\n elif isinstance(o, Age):\n c[k] = format_timedelta(o, locale=loc, **o.format_args)\n elif isinstance(o, timedelta):\n c[k] = format_timedelta(o, locale=loc)\n elif isinstance(o, datetime):\n c[k] = format_datetime(o, locale=loc)\n elif isinstance(o, date):\n c[k] = format_date(o, locale=loc)\n if wrapper:\n c[k] = wrapper % (c[k],)\n return s.format(*a, **kw)\n\n\ndef get_text(state, loc, s, *a, **kw):\n escape = state['escape']\n msg = loc.catalog.get(s)\n s2 = None\n if msg:\n s2 = msg.string\n if isinstance(s2, tuple):\n s2 = s2[0]\n if not s2:\n s2 = s\n if loc != LOCALE_EN:\n loc = LOCALE_EN\n state['partial_translation'] = True\n if a or kw:\n try:\n return i_format(loc, escape(_decode(s2)), *a, **kw)\n except Exception as e:\n website.tell_sentry(e, state)\n return i_format(LOCALE_EN, escape(_decode(s)), *a, **kw)\n return escape(s2)\n\n\ndef n_get_text(state, loc, s, p, n, *a, **kw):\n escape = state['escape']\n n, wrapper = (n.value, n.wrapper) if isinstance(n, Wrap) else (n, None)\n n = n or 0\n msg = loc.catalog.get((s, p) if s else p)\n s2 = None\n if msg:\n try:\n s2 = msg.string[loc.catalog.plural_func(n)]\n except Exception as e:\n website.tell_sentry(e, state)\n if not s2:\n s2 = s if n == 1 else p\n if loc != LOCALE_EN:\n loc = LOCALE_EN\n state['partial_translation'] = True\n kw['n'] = format_number(n, locale=loc) or n\n if wrapper:\n kw['n'] = wrapper % kw['n']\n try:\n return i_format(loc, escape(_decode(s2)), *a, **kw)\n except Exception as e:\n website.tell_sentry(e, state)\n return i_format(LOCALE_EN, escape(_decode(s if n == 1 else p)), *a, **kw)\n\n\ndef getdoc(state, name):\n versions = state['website'].docs[name]\n for lang in state['request'].accept_langs:\n doc = versions.get(lang)\n if doc:\n return doc\n return versions['en']\n\n\ndef to_age(dt, **kw):\n if isinstance(dt, datetime):\n delta = Age(dt - utcnow())\n else:\n delta = Age(dt - date.today())\n kw.setdefault('granularity', 'day')\n delta.format_args = kw\n return delta\n\n\ndef regularize_locale(loc):\n if loc == 'no':\n\n # There are two forms of written Norwegian, Bokmål and Nynorsk, and\n # while ISO 639 includes `no` as a \"macrolanguage\", the CLDR (upon\n # which Babel, our i18n/l10n library, depends), does not include it at\n # all. Therefore, if a client sends `no` we interpret it as `nb_NO`.\n\n loc = 'nb_NO'\n return loc.replace('-', '_').lower()\n\n\ndef regularize_locales(locales):\n \"\"\"Yield locale strings in the same format as they are in LOCALES.\n \"\"\"\n locales = [regularize_locale(loc) for loc in locales]\n locales_set = set(locales)\n for loc in locales:\n yield loc\n parts = loc.split('_')\n if len(parts) > 1 and parts[0] not in locales_set:\n # Insert \"fr\" after \"fr_fr\" if it's not somewhere in the list\n yield parts[0]\n alias = ALIASES.get(loc)\n if alias and alias not in locales_set:\n # Insert \"fr_fr\" after \"fr\" if it's not somewhere in the list\n yield alias\n if 'en' not in locales_set and 'en_us' not in locales_set:\n yield 'en'\n yield 'en_us'\n\n\ndef parse_accept_lang(accept_lang):\n languages = (lang.split(\";\", 1)[0] for lang in accept_lang.split(\",\"))\n return regularize_locales(languages)\n\n\ndef match_lang(languages):\n for lang in languages:\n loc = LOCALES.get(lang)\n if loc:\n return loc\n return LOCALE_EN\n\n\ndef get_lang_options(request, locale, previously_used_langs, add_multi=False):\n pref_langs = set(request.accept_langs + previously_used_langs)\n langs = OrderedDict()\n if add_multi:\n langs.update([('mul', locale.languages.get('mul', 'Multilingual'))])\n langs.update((k, v) for k, v in locale.languages_2.items() if k in pref_langs)\n langs.update([('', '---')]) # Separator\n langs.update(locale.languages_2)\n return langs\n\n\ndef set_up_i18n(website, request, state):\n accept_lang = request.headers.get(b\"Accept-Language\", b\"\").decode('ascii', 'replace')\n langs = request.accept_langs = list(parse_accept_lang(accept_lang))\n loc = match_lang(langs)\n add_helpers_to_context(state, loc)\n\n\ndef _return_(a):\n return a\n\n\ndef add_helpers_to_context(context, loc):\n context.update(\n escape=_return_, # to be overriden by renderers\n locale=loc,\n Bold=Bold,\n Money=Money,\n to_age=to_age,\n _=lambda s, *a, **kw: get_text(context, kw.pop('loc', loc), s, *a, **kw),\n ngettext=lambda *a, **kw: n_get_text(context, kw.pop('loc', loc), *a, **kw),\n format_date=loc.format_date,\n format_datetime=loc.format_datetime,\n format_decimal=loc.format_decimal,\n format_list=loc.format_list,\n format_money=loc.format_money,\n format_money_delta=loc.format_money_delta,\n format_number=loc.format_number,\n format_percent=loc.format_percent,\n parse_decimal=loc.parse_decimal_or_400,\n to_age_str=loc.to_age_str,\n )\n\n\ndef add_currency_to_state(request, user):\n cookie = request.headers.cookie.get(str('currency'))\n if cookie and cookie.value in CURRENCIES:\n return {'currency': cookie.value}\n if user:\n return {'currency': user.main_currency}\n else:\n return {'currency': CURRENCIES_MAP.get(request.country) or 'EUR'}\n\n\ndef extract_custom(extractor, *args, **kw):\n for match in extractor(*args, **kw):\n msg = match[2]\n if isinstance(msg, tuple) and msg[0] == '':\n unused = \"<unused singular (hash=%s)>\" % md5(msg[1]).hexdigest()\n msg = (unused, msg[1], msg[2])\n match = (match[0], match[1], msg, match[3])\n yield match\n\n\ndef extract_jinja2_custom(*args, **kw):\n return extract_custom(jinja2.ext.babel_extract, *args, **kw)\n\n\ndef extract_python_custom(*args, **kw):\n return extract_custom(extract_python, *args, **kw)\n\n\ndef extract_spt(fileobj, *args, **kw):\n pages = list(split_and_escape(fileobj.read().decode('utf8')))\n npages = len(pages)\n for i, page in enumerate(pages, 1):\n f = BytesIO(b'\\n' * page.offset + page.content.encode('utf8'))\n content_type, renderer = parse_specline(page.header)\n extractor = None\n python_page = i < 3 and i < npages and not page.header\n json_page = renderer in ('json_dump', 'jsonp_dump')\n if python_page or json_page:\n extractor = extract_python_custom\n else:\n extractor = extract_jinja2_custom\n if extractor:\n for match in extractor(f, *args, **kw):\n yield match\n\n\nif __name__ == '__main__':\n import sys\n\n from babel.messages.pofile import read_po, write_po\n\n if sys.argv[1] == 'po-reflag':\n # This adds the `python-brace-format` flag to messages that contain braces\n # https://github.com/python-babel/babel/issues/333\n pot_path = sys.argv[2]\n print('rewriting PO template file', pot_path)\n # read PO file\n with open(pot_path, 'rb') as pot:\n catalog = read_po(pot)\n # tweak message flags\n for m in catalog:\n msg = m.id\n contains_brace = any(\n '{' in s for s in (msg if isinstance(msg, tuple) else (msg,))\n )\n if contains_brace:\n m.flags.add('python-brace-format')\n m.flags.discard('python-format')\n # write back\n with open(pot_path, 'wb') as pot:\n write_po(pot, catalog, width=0)\n\n else:\n print(\"unknown command\")\n raise SystemExit(1)\n","path":"liberapay/utils/i18n.py"}],"string":"[\n {\n \"content\": \"# encoding: utf8\\nfrom __future__ import print_function, unicode_literals\\n\\nfrom collections import namedtuple, OrderedDict\\nfrom datetime import date, datetime, timedelta\\nfrom decimal import Decimal, InvalidOperation\\nfrom hashlib import md5\\nfrom io import BytesIO\\nimport re\\nfrom unicodedata import combining, normalize\\n\\nfrom six import text_type\\n\\nfrom aspen.simplates.pagination import parse_specline, split_and_escape\\nimport babel.core\\nfrom babel.dates import format_date, format_datetime, format_timedelta\\nfrom babel.messages.extract import extract_python\\nfrom babel.messages.pofile import Catalog\\nfrom babel.numbers import (\\n format_currency, format_decimal, format_number, format_percent,\\n NumberFormatError, parse_decimal\\n)\\nimport jinja2.ext\\nfrom mangopay.utils import Money\\nfrom markupsafe import Markup\\nfrom pando.utils import utcnow\\n\\nfrom liberapay.constants import CURRENCIES\\nfrom liberapay.exceptions import InvalidNumber\\nfrom liberapay.utils.currencies import MoneyBasket\\nfrom liberapay.website import website\\n\\n\\ndef LegacyMoney(o):\\n return o if isinstance(o, (Money, MoneyBasket)) else Money(o, 'EUR')\\n\\n\\nWrap = namedtuple('Wrap', 'value wrapper')\\n\\n\\nBOLD = Markup('<b>%s</b>')\\n\\n\\ndef Bold(value):\\n return Wrap(value, BOLD)\\n\\n\\nclass Age(timedelta):\\n\\n def __new__(cls, *a, **kw):\\n if len(a) == 1 and not kw and isinstance(a[0], timedelta):\\n return timedelta.__new__(cls, a[0].days, a[0].seconds, a[0].microseconds)\\n return timedelta.__new__(cls, *a, **kw)\\n\\n\\nclass Locale(babel.core.Locale):\\n\\n def __init__(self, *a, **kw):\\n super(Locale, self).__init__(*a, **kw)\\n self.decimal_symbol = self.number_symbols.get('decimal', '.')\\n delta_p = self.currency_formats['standard'].pattern\\n assert ';' not in delta_p\\n self.currency_delta_pattern = '+{0};-{0}'.format(delta_p)\\n\\n def format_money(self, m, format=None, trailing_zeroes=True):\\n s = format_currency(m.amount, m.currency, format, locale=self)\\n if not trailing_zeroes:\\n s = s.replace(self.decimal_symbol + '00', '')\\n return s\\n\\n def format_date(self, *a):\\n return format_date(*a, locale=self)\\n\\n def format_datetime(self, *a):\\n return format_datetime(*a, locale=self)\\n\\n def format_decimal(self, *a):\\n return format_decimal(*a, locale=self)\\n\\n def format_list(self, l):\\n n = len(l)\\n if n > 2:\\n last = n - 2\\n r = l[0]\\n for i, item in enumerate(l[1:]):\\n r = self.list_patterns[\\n 'start' if i == 0 else 'end' if i == last else 'middle'\\n ].format(r, item)\\n return r\\n elif n == 2:\\n return self.list_patterns['2'].format(*l)\\n else:\\n return l[0] if n == 1 else None\\n\\n def format_money_basket(self, basket, sep=','):\\n items = (\\n format_currency(money.amount, money.currency, locale=self)\\n for money in basket if money\\n )\\n if sep == ',':\\n r = self.format_list(list(items))\\n else:\\n r = sep.join(items)\\n return r or '0'\\n\\n def format_money_delta(self, money, *a):\\n return format_currency(\\n money.amount, money.currency, *a,\\n format=self.currency_delta_pattern, locale=self\\n )\\n\\n def format_number(self, *a):\\n return format_number(*a, locale=self)\\n\\n def format_percent(self, *a):\\n return format_percent(*a, locale=self)\\n\\n def parse_decimal_or_400(self, s, *a):\\n try:\\n return parse_decimal(s, *a, locale=self)\\n except (InvalidOperation, NumberFormatError, ValueError):\\n raise InvalidNumber(s)\\n\\n @staticmethod\\n def title(s):\\n return s[0].upper() + s[1:] if s and s[0].islower() else s\\n\\n def to_age_str(self, o, **kw):\\n if not isinstance(o, datetime):\\n kw.setdefault('granularity', 'day')\\n return format_timedelta(to_age(o), locale=self, **kw)\\n\\n\\nALIASES = {k: v.lower() for k, v in babel.core.LOCALE_ALIASES.items()}\\nALIASES_R = {v: k for k, v in ALIASES.items()}\\n\\n\\ndef strip_accents(s):\\n return ''.join(c for c in normalize('NFKD', s) if not combining(c))\\n\\n\\ndef make_sorted_dict(keys, d):\\n items = ((k, d[k]) for k in keys)\\n return OrderedDict(sorted(items, key=lambda t: strip_accents(t[1])))\\n\\n\\nCOUNTRY_CODES = \\\"\\\"\\\"\\n AD AE AF AG AI AL AM AO AQ AR AS AT AU AW AX AZ BA BB BD BE BF BG BH BI BJ\\n BL BM BN BO BQ BR BS BT BV BW BY BZ CA CC CD CF CG CH CI CK CL CM CN CO CR\\n CU CV CW CX CY CZ DE DJ DK DM DO DZ EC EE EG EH ER ES ET FI FJ FK FM FO FR\\n GA GB GD GE GF GG GH GI GL GM GN GP GQ GR GS GT GU GW GY HK HM HN HR HT HU\\n ID IE IL IM IN IO IQ IR IS IT JE JM JO JP KE KG KH KI KM KN KP KR KW KY KZ\\n LA LB LC LI LK LR LS LT LU LV LY MA MC MD ME MF MG MH MK ML MM MN MO MP MQ\\n MR MS MT MU MV MW MX MY MZ NA NC NE NF NG NI NL NO NP NR NU NZ OM PA PE PF\\n PG PH PK PL PM PN PR PS PT PW PY QA RE RO RS RU RW SA SB SC SD SE SG SH SI\\n SJ SK SL SM SN SO SR SS ST SV SX SY SZ TC TD TF TG TH TJ TK TL TM TN TO TR\\n TT TV TW TZ UA UG UM US UY UZ VA VC VE VG VI VN VU WF WS YE YT ZA ZM ZW\\n\\\"\\\"\\\".split()\\n\\nCOUNTRIES = make_sorted_dict(COUNTRY_CODES, Locale('en').territories)\\n\\nCURRENCIES_MAP = {\\n k: v[-1][0]\\n for k, v in babel.core.get_global('territory_currencies').items()\\n if v[-1][0] in CURRENCIES\\n}\\n\\nLANGUAGE_CODES_2 = \\\"\\\"\\\"\\n aa af ak am ar as az be bg bm bn bo br bs ca cs cy da de dz ee el en eo es\\n et eu fa ff fi fo fr ga gd gl gu gv ha he hi hr hu hy ia id ig ii is it ja\\n ka ki kk kl km kn ko ks kw ky lg ln lo lt lu lv mg mk ml mn mr ms mt my nb\\n nd ne nl nn nr om or os pa pl ps pt rm rn ro ru rw se sg si sk sl sn so sq\\n sr ss st sv sw ta te tg th ti tn to tr ts uk ur uz ve vi vo xh yo zh zu\\n\\\"\\\"\\\".split()\\n\\nLANGUAGES_2 = make_sorted_dict(LANGUAGE_CODES_2, Locale('en').languages)\\n\\nLOCALES = {}\\nLOCALE_EN = LOCALES['en'] = Locale('en')\\nLOCALE_EN.catalog = Catalog('en')\\nLOCALE_EN.catalog.plural_func = lambda n: n != 1\\nLOCALE_EN.countries = COUNTRIES\\nLOCALE_EN.languages_2 = LANGUAGES_2\\n\\n\\nSEARCH_CONFS = dict((\\n ('da', 'danish'),\\n ('de', 'german'),\\n ('en', 'english'),\\n ('es', 'spanish'),\\n ('fi', 'finnish'),\\n ('fr', 'french'),\\n ('hu', 'hungarian'),\\n ('it', 'italian'),\\n ('nb', 'norwegian'),\\n ('nl', 'dutch'),\\n ('nn', 'norwegian'),\\n ('pt', 'portuguese'),\\n ('ro', 'romanian'),\\n ('ru', 'russian'),\\n ('sv', 'swedish'),\\n ('tr', 'turkish'),\\n))\\n\\n\\n_ = lambda a: a\\nHTTP_ERRORS = {\\n 403: _(\\\"Forbidden\\\"),\\n 404: _(\\\"Not Found\\\"),\\n 429: _(\\\"Too Many Requests\\\"),\\n 500: _(\\\"Internal Server Error\\\"),\\n 502: _(\\\"Upstream Error\\\"),\\n 503: _(\\\"Service Unavailable\\\"),\\n 504: _(\\\"Gateway Timeout\\\"),\\n}\\ndel _\\n\\n\\nternary_re = re.compile(r'^\\\\(? *(.+?) *\\\\? *(.+?) *: *(.+?) *\\\\)?$')\\nand_re = re.compile(r' *&& *')\\nor_re = re.compile(r' *\\\\|\\\\| *')\\n\\n\\ndef ternary_sub(m):\\n g1, g2, g3 = m.groups()\\n return '%s if %s else %s' % (g2, g1, ternary_re.sub(ternary_sub, g3))\\n\\n\\ndef get_function_from_rule(rule):\\n rule = ternary_re.sub(ternary_sub, rule.strip())\\n rule = and_re.sub(' and ', rule)\\n rule = or_re.sub(' or ', rule)\\n return eval('lambda n: ' + rule, {'__builtins__': {}})\\n\\n\\ndef _decode(o):\\n return o.decode('ascii') if isinstance(o, bytes) else o\\n\\n\\ndef i_format(loc, s, *a, **kw):\\n if a:\\n a = list(a)\\n for c, f in [(a, enumerate), (kw, dict.items)]:\\n for k, o in f(c):\\n o, wrapper = (o.value, o.wrapper) if isinstance(o, Wrap) else (o, None)\\n if isinstance(o, text_type):\\n pass\\n elif isinstance(o, Decimal):\\n c[k] = format_decimal(o, locale=loc)\\n elif isinstance(o, int):\\n c[k] = format_number(o, locale=loc)\\n elif isinstance(o, Money):\\n c[k] = loc.format_money(o)\\n elif isinstance(o, MoneyBasket):\\n c[k] = loc.format_money_basket(o)\\n elif isinstance(o, Age):\\n c[k] = format_timedelta(o, locale=loc, **o.format_args)\\n elif isinstance(o, timedelta):\\n c[k] = format_timedelta(o, locale=loc)\\n elif isinstance(o, datetime):\\n c[k] = format_datetime(o, locale=loc)\\n elif isinstance(o, date):\\n c[k] = format_date(o, locale=loc)\\n if wrapper:\\n c[k] = wrapper % (c[k],)\\n return s.format(*a, **kw)\\n\\n\\ndef get_text(state, loc, s, *a, **kw):\\n escape = state['escape']\\n msg = loc.catalog.get(s)\\n s2 = None\\n if msg:\\n s2 = msg.string\\n if isinstance(s2, tuple):\\n s2 = s2[0]\\n if not s2:\\n s2 = s\\n if loc != LOCALE_EN:\\n loc = LOCALE_EN\\n state['partial_translation'] = True\\n if a or kw:\\n try:\\n return i_format(loc, escape(_decode(s2)), *a, **kw)\\n except Exception as e:\\n website.tell_sentry(e, state)\\n return i_format(LOCALE_EN, escape(_decode(s)), *a, **kw)\\n return escape(s2)\\n\\n\\ndef n_get_text(state, loc, s, p, n, *a, **kw):\\n escape = state['escape']\\n n, wrapper = (n.value, n.wrapper) if isinstance(n, Wrap) else (n, None)\\n n = n or 0\\n msg = loc.catalog.get((s, p) if s else p)\\n s2 = None\\n if msg:\\n try:\\n s2 = msg.string[loc.catalog.plural_func(n)]\\n except Exception as e:\\n website.tell_sentry(e, state)\\n if not s2:\\n s2 = s if n == 1 else p\\n if loc != LOCALE_EN:\\n loc = LOCALE_EN\\n state['partial_translation'] = True\\n kw['n'] = format_number(n, locale=loc) or n\\n if wrapper:\\n kw['n'] = wrapper % kw['n']\\n try:\\n return i_format(loc, escape(_decode(s2)), *a, **kw)\\n except Exception as e:\\n website.tell_sentry(e, state)\\n return i_format(LOCALE_EN, escape(_decode(s if n == 1 else p)), *a, **kw)\\n\\n\\ndef getdoc(state, name):\\n versions = state['website'].docs[name]\\n for lang in state['request'].accept_langs:\\n doc = versions.get(lang)\\n if doc:\\n return doc\\n return versions['en']\\n\\n\\ndef to_age(dt, **kw):\\n if isinstance(dt, datetime):\\n delta = Age(dt - utcnow())\\n else:\\n delta = Age(dt - date.today())\\n kw.setdefault('granularity', 'day')\\n delta.format_args = kw\\n return delta\\n\\n\\ndef regularize_locale(loc):\\n if loc == 'no':\\n\\n # There are two forms of written Norwegian, Bokmål and Nynorsk, and\\n # while ISO 639 includes `no` as a \\\"macrolanguage\\\", the CLDR (upon\\n # which Babel, our i18n/l10n library, depends), does not include it at\\n # all. Therefore, if a client sends `no` we interpret it as `nb_NO`.\\n\\n loc = 'nb_NO'\\n return loc.replace('-', '_').lower()\\n\\n\\ndef regularize_locales(locales):\\n \\\"\\\"\\\"Yield locale strings in the same format as they are in LOCALES.\\n \\\"\\\"\\\"\\n locales = [regularize_locale(loc) for loc in locales]\\n locales_set = set(locales)\\n for loc in locales:\\n yield loc\\n parts = loc.split('_')\\n if len(parts) > 1 and parts[0] not in locales_set:\\n # Insert \\\"fr\\\" after \\\"fr_fr\\\" if it's not somewhere in the list\\n yield parts[0]\\n alias = ALIASES.get(loc)\\n if alias and alias not in locales_set:\\n # Insert \\\"fr_fr\\\" after \\\"fr\\\" if it's not somewhere in the list\\n yield alias\\n if 'en' not in locales_set and 'en_us' not in locales_set:\\n yield 'en'\\n yield 'en_us'\\n\\n\\ndef parse_accept_lang(accept_lang):\\n languages = (lang.split(\\\";\\\", 1)[0] for lang in accept_lang.split(\\\",\\\"))\\n return regularize_locales(languages)\\n\\n\\ndef match_lang(languages):\\n for lang in languages:\\n loc = LOCALES.get(lang)\\n if loc:\\n return loc\\n return LOCALE_EN\\n\\n\\ndef get_lang_options(request, locale, previously_used_langs, add_multi=False):\\n pref_langs = set(request.accept_langs + previously_used_langs)\\n langs = OrderedDict()\\n if add_multi:\\n langs.update([('mul', locale.languages.get('mul', 'Multilingual'))])\\n langs.update((k, v) for k, v in locale.languages_2.items() if k in pref_langs)\\n langs.update([('', '---')]) # Separator\\n langs.update(locale.languages_2)\\n return langs\\n\\n\\ndef set_up_i18n(website, request, state):\\n accept_lang = request.headers.get(b\\\"Accept-Language\\\", b\\\"\\\").decode('ascii', 'replace')\\n langs = request.accept_langs = list(parse_accept_lang(accept_lang))\\n loc = match_lang(langs)\\n add_helpers_to_context(state, loc)\\n\\n\\ndef _return_(a):\\n return a\\n\\n\\ndef add_helpers_to_context(context, loc):\\n context.update(\\n escape=_return_, # to be overriden by renderers\\n locale=loc,\\n Bold=Bold,\\n Money=Money,\\n to_age=to_age,\\n _=lambda s, *a, **kw: get_text(context, kw.pop('loc', loc), s, *a, **kw),\\n ngettext=lambda *a, **kw: n_get_text(context, kw.pop('loc', loc), *a, **kw),\\n format_date=loc.format_date,\\n format_datetime=loc.format_datetime,\\n format_decimal=loc.format_decimal,\\n format_list=loc.format_list,\\n format_money=loc.format_money,\\n format_money_delta=loc.format_money_delta,\\n format_number=loc.format_number,\\n format_percent=loc.format_percent,\\n parse_decimal=loc.parse_decimal_or_400,\\n to_age_str=loc.to_age_str,\\n )\\n\\n\\ndef add_currency_to_state(request, user):\\n cookie = request.headers.cookie.get(str('currency'))\\n if cookie and cookie.value in CURRENCIES:\\n return {'currency': cookie.value}\\n if user:\\n return {'currency': user.main_currency}\\n else:\\n return {'currency': CURRENCIES_MAP.get(request.country) or 'EUR'}\\n\\n\\ndef extract_custom(extractor, *args, **kw):\\n for match in extractor(*args, **kw):\\n msg = match[2]\\n if isinstance(msg, tuple) and msg[0] == '':\\n unused = \\\"<unused singular (hash=%s)>\\\" % md5(msg[1]).hexdigest()\\n msg = (unused, msg[1], msg[2])\\n match = (match[0], match[1], msg, match[3])\\n yield match\\n\\n\\ndef extract_jinja2_custom(*args, **kw):\\n return extract_custom(jinja2.ext.babel_extract, *args, **kw)\\n\\n\\ndef extract_python_custom(*args, **kw):\\n return extract_custom(extract_python, *args, **kw)\\n\\n\\ndef extract_spt(fileobj, *args, **kw):\\n pages = list(split_and_escape(fileobj.read().decode('utf8')))\\n npages = len(pages)\\n for i, page in enumerate(pages, 1):\\n f = BytesIO(b'\\\\n' * page.offset + page.content.encode('utf8'))\\n content_type, renderer = parse_specline(page.header)\\n extractor = None\\n python_page = i < 3 and i < npages and not page.header\\n json_page = renderer in ('json_dump', 'jsonp_dump')\\n if python_page or json_page:\\n extractor = extract_python_custom\\n else:\\n extractor = extract_jinja2_custom\\n if extractor:\\n for match in extractor(f, *args, **kw):\\n yield match\\n\\n\\nif __name__ == '__main__':\\n import sys\\n\\n from babel.messages.pofile import read_po, write_po\\n\\n if sys.argv[1] == 'po-reflag':\\n # This adds the `python-brace-format` flag to messages that contain braces\\n # https://github.com/python-babel/babel/issues/333\\n pot_path = sys.argv[2]\\n print('rewriting PO template file', pot_path)\\n # read PO file\\n with open(pot_path, 'rb') as pot:\\n catalog = read_po(pot)\\n # tweak message flags\\n for m in catalog:\\n msg = m.id\\n contains_brace = any(\\n '{' in s for s in (msg if isinstance(msg, tuple) else (msg,))\\n )\\n if contains_brace:\\n m.flags.add('python-brace-format')\\n m.flags.discard('python-format')\\n # write back\\n with open(pot_path, 'wb') as pot:\\n write_po(pot, catalog, width=0)\\n\\n else:\\n print(\\\"unknown command\\\")\\n raise SystemExit(1)\\n\",\n \"path\": \"liberapay/utils/i18n.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"# encoding: utf8\nfrom __future__ import print_function, unicode_literals\n\nfrom collections import namedtuple, OrderedDict\nfrom datetime import date, datetime, timedelta\nfrom decimal import Decimal, InvalidOperation\nfrom hashlib import md5\nfrom io import BytesIO\nimport re\nfrom unicodedata import combining, normalize\n\nfrom six import text_type\n\nfrom aspen.simplates.pagination import parse_specline, split_and_escape\nimport babel.core\nfrom babel.dates import format_date, format_datetime, format_timedelta\nfrom babel.messages.extract import extract_python\nfrom babel.messages.pofile import Catalog\nfrom babel.numbers import (\n format_currency, format_decimal, format_number, format_percent,\n NumberFormatError, parse_decimal\n)\nimport jinja2.ext\nfrom mangopay.utils import Money\nfrom markupsafe import Markup\nfrom pando.utils import utcnow\n\nfrom liberapay.constants import CURRENCIES\nfrom liberapay.exceptions import InvalidNumber\nfrom liberapay.utils.currencies import MoneyBasket\nfrom liberapay.website import website\n\n\ndef LegacyMoney(o):\n return o if isinstance(o, (Money, MoneyBasket)) else Money(o, 'EUR')\n\n\nWrap = namedtuple('Wrap', 'value wrapper')\n\n\nBOLD = Markup('<b>%s</b>')\n\n\ndef Bold(value):\n return Wrap(value, BOLD)\n\n\nclass Age(timedelta):\n\n def __new__(cls, *a, **kw):\n if len(a) == 1 and not kw and isinstance(a[0], timedelta):\n return timedelta.__new__(cls, a[0].days, a[0].seconds, a[0].microseconds)\n return timedelta.__new__(cls, *a, **kw)\n\n\nclass Locale(babel.core.Locale):\n\n def __init__(self, *a, **kw):\n super(Locale, self).__init__(*a, **kw)\n self.decimal_symbol = self.number_symbols.get('decimal', '.')\n delta_p = self.currency_formats['standard'].pattern\n assert ';' not in delta_p\n self.currency_delta_pattern = '+{0};-{0}'.format(delta_p)\n\n def format_money(self, m, format=None, trailing_zeroes=True):\n s = format_currency(m.amount, m.currency, format, locale=self)\n if not trailing_zeroes:\n s = s.replace(self.decimal_symbol + '00', '')\n return s\n\n def format_date(self, *a):\n return format_date(*a, locale=self)\n\n def format_datetime(self, *a):\n return format_datetime(*a, locale=self)\n\n def format_decimal(self, *a):\n return format_decimal(*a, locale=self)\n\n def format_list(self, l):\n n = len(l)\n if n > 2:\n last = n - 2\n r = l[0]\n for i, item in enumerate(l[1:]):\n r = self.list_patterns[\n 'start' if i == 0 else 'end' if i == last else 'middle'\n ].format(r, item)\n return r\n elif n == 2:\n return self.list_patterns['2'].format(*l)\n else:\n return l[0] if n == 1 else None\n\n def format_money_basket(self, basket, sep=','):\n items = (\n format_currency(money.amount, money.currency, locale=self)\n for money in basket if money\n )\n if sep == ',':\n r = self.format_list(list(items))\n else:\n r = sep.join(items)\n return r or '0'\n\n def format_money_delta(self, money, *a):\n return format_currency(\n money.amount, money.currency, *a,\n format=self.currency_delta_pattern, locale=self\n )\n\n def format_number(self, *a):\n return format_number(*a, locale=self)\n\n def format_percent(self, *a):\n return format_percent(*a, locale=self)\n\n def parse_decimal_or_400(self, s, *a):\n try:\n return parse_decimal(s, *a, locale=self)\n except (InvalidOperation, NumberFormatError, ValueError):\n raise InvalidNumber(s)\n\n @staticmethod\n def title(s):\n return s[0].upper() + s[1:] if s and s[0].islower() else s\n\n def to_age_str(self, o, **kw):\n if not isinstance(o, datetime):\n kw.setdefault('granularity', 'day')\n return format_timedelta(to_age(o), locale=self, **kw)\n\n\nALIASES = {k: v.lower() for k, v in babel.core.LOCALE_ALIASES.items()}\nALIASES_R = {v: k for k, v in ALIASES.items()}\n\n\ndef strip_accents(s):\n return ''.join(c for c in normalize('NFKD', s) if not combining(c))\n\n\ndef make_sorted_dict(keys, d):\n items = ((k, d[k]) for k in keys)\n return OrderedDict(sorted(items, key=lambda t: strip_accents(t[1])))\n\n\nCOUNTRY_CODES = \"\"\"\n AD AE AF AG AI AL AM AO AQ AR AS AT AU AW AX AZ BA BB BD BE BF BG BH BI BJ\n BL BM BN BO BQ BR BS BT BV BW BY BZ CA CC CD CF CG CH CI CK CL CM CN CO CR\n CU CV CW CX CY CZ DE DJ DK DM DO DZ EC EE EG EH ER ES ET FI FJ FK FM FO FR\n GA GB GD GE GF GG GH GI GL GM GN GP GQ GR GS GT GU GW GY HK HM HN HR HT HU\n ID IE IL IM IN IO IQ IR IS IT JE JM JO JP KE KG KH KI KM KN KP KR KW KY KZ\n LA LB LC LI LK LR LS LT LU LV LY MA MC MD ME MF MG MH MK ML MM MN MO MP MQ\n MR MS MT MU MV MW MX MY MZ NA NC NE NF NG NI NL NO NP NR NU NZ OM PA PE PF\n PG PH PK PL PM PN PR PS PT PW PY QA RE RO RS RU RW SA SB SC SD SE SG SH SI\n SJ SK SL SM SN SO SR SS ST SV SX SY SZ TC TD TF TG TH TJ TK TL TM TN TO TR\n TT TV TW TZ UA UG UM US UY UZ VA VC VE VG VI VN VU WF WS YE YT ZA ZM ZW\n\"\"\".split()\n\nCOUNTRIES = make_sorted_dict(COUNTRY_CODES, Locale('en').territories)\n\nCURRENCIES_MAP = {\n k: v[-1][0]\n for k, v in babel.core.get_global('territory_currencies').items()\n if v[-1][0] in CURRENCIES\n}\n\nLANGUAGE_CODES_2 = \"\"\"\n aa af ak am ar as az be bg bm bn bo br bs ca cs cy da de dz ee el en eo es\n et eu fa ff fi fo fr ga gd gl gu gv ha he hi hr hu hy ia id ig ii is it ja\n ka ki kk kl km kn ko ks kw ky lg ln lo lt lu lv mg mk ml mn mr ms mt my nb\n nd ne nl nn nr om or os pa pl ps pt rm rn ro ru rw se sg si sk sl sn so sq\n sr ss st sv sw ta te tg th ti tn to tr ts uk ur uz ve vi vo xh yo zh zu\n\"\"\".split()\n\nLANGUAGES_2 = make_sorted_dict(LANGUAGE_CODES_2, Locale('en').languages)\n\nLOCALES = {}\nLOCALE_EN = LOCALES['en'] = Locale('en')\nLOCALE_EN.catalog = Catalog('en')\nLOCALE_EN.catalog.plural_func = lambda n: n != 1\nLOCALE_EN.countries = COUNTRIES\nLOCALE_EN.languages_2 = LANGUAGES_2\n\n\nSEARCH_CONFS = dict((\n ('da', 'danish'),\n ('de', 'german'),\n ('en', 'english'),\n ('es', 'spanish'),\n ('fi', 'finnish'),\n ('fr', 'french'),\n ('hu', 'hungarian'),\n ('it', 'italian'),\n ('nb', 'norwegian'),\n ('nl', 'dutch'),\n ('nn', 'norwegian'),\n ('pt', 'portuguese'),\n ('ro', 'romanian'),\n ('ru', 'russian'),\n ('sv', 'swedish'),\n ('tr', 'turkish'),\n))\n\n\n_ = lambda a: a\nHTTP_ERRORS = {\n 403: _(\"Forbidden\"),\n 404: _(\"Not Found\"),\n 429: _(\"Too Many Requests\"),\n 500: _(\"Internal Server Error\"),\n 502: _(\"Upstream Error\"),\n 503: _(\"Service Unavailable\"),\n 504: _(\"Gateway Timeout\"),\n}\ndel _\n\n\nternary_re = re.compile(r'^\\(? *(.+?) *\\? *(.+?) *: *(.+?) *\\)?$')\nand_re = re.compile(r' *&& *')\nor_re = re.compile(r' *\\|\\| *')\n\n\ndef ternary_sub(m):\n g1, g2, g3 = m.groups()\n return '%s if %s else %s' % (g2, g1, ternary_re.sub(ternary_sub, g3))\n\n\ndef get_function_from_rule(rule):\n rule = ternary_re.sub(ternary_sub, rule.strip())\n rule = and_re.sub(' and ', rule)\n rule = or_re.sub(' or ', rule)\n return eval('lambda n: ' + rule, {'__builtins__': {}})\n\n\ndef _decode(o):\n return o.decode('ascii') if isinstance(o, bytes) else o\n\n\ndef i_format(loc, s, *a, **kw):\n if a:\n a = list(a)\n for c, f in [(a, enumerate), (kw, dict.items)]:\n for k, o in f(c):\n o, wrapper = (o.value, o.wrapper) if isinstance(o, Wrap) else (o, None)\n if isinstance(o, text_type):\n pass\n elif isinstance(o, Decimal):\n c[k] = format_decimal(o, locale=loc)\n elif isinstance(o, int):\n c[k] = format_number(o, locale=loc)\n elif isinstance(o, Money):\n c[k] = loc.format_money(o)\n elif isinstance(o, MoneyBasket):\n c[k] = loc.format_money_basket(o)\n elif isinstance(o, Age):\n c[k] = format_timedelta(o, locale=loc, **o.format_args)\n elif isinstance(o, timedelta):\n c[k] = format_timedelta(o, locale=loc)\n elif isinstance(o, datetime):\n c[k] = format_datetime(o, locale=loc)\n elif isinstance(o, date):\n c[k] = format_date(o, locale=loc)\n elif isinstance(o, Locale):\n c[k] = loc.languages.get(o.language) or o.language.upper()\n if wrapper:\n c[k] = wrapper % (c[k],)\n return s.format(*a, **kw)\n\n\ndef get_text(state, loc, s, *a, **kw):\n escape = state['escape']\n msg = loc.catalog.get(s)\n s2 = None\n if msg:\n s2 = msg.string\n if isinstance(s2, tuple):\n s2 = s2[0]\n if not s2:\n s2 = s\n if loc != LOCALE_EN:\n loc = LOCALE_EN\n state['partial_translation'] = True\n if a or kw:\n try:\n return i_format(loc, escape(_decode(s2)), *a, **kw)\n except Exception as e:\n website.tell_sentry(e, state)\n return i_format(LOCALE_EN, escape(_decode(s)), *a, **kw)\n return escape(s2)\n\n\ndef n_get_text(state, loc, s, p, n, *a, **kw):\n escape = state['escape']\n n, wrapper = (n.value, n.wrapper) if isinstance(n, Wrap) else (n, None)\n n = n or 0\n msg = loc.catalog.get((s, p) if s else p)\n s2 = None\n if msg:\n try:\n s2 = msg.string[loc.catalog.plural_func(n)]\n except Exception as e:\n website.tell_sentry(e, state)\n if not s2:\n s2 = s if n == 1 else p\n if loc != LOCALE_EN:\n loc = LOCALE_EN\n state['partial_translation'] = True\n kw['n'] = format_number(n, locale=loc) or n\n if wrapper:\n kw['n'] = wrapper % kw['n']\n try:\n return i_format(loc, escape(_decode(s2)), *a, **kw)\n except Exception as e:\n website.tell_sentry(e, state)\n return i_format(LOCALE_EN, escape(_decode(s if n == 1 else p)), *a, **kw)\n\n\ndef getdoc(state, name):\n versions = state['website'].docs[name]\n for lang in state['request'].accept_langs:\n doc = versions.get(lang)\n if doc:\n return doc\n return versions['en']\n\n\ndef to_age(dt, **kw):\n if isinstance(dt, datetime):\n delta = Age(dt - utcnow())\n else:\n delta = Age(dt - date.today())\n kw.setdefault('granularity', 'day')\n delta.format_args = kw\n return delta\n\n\ndef regularize_locale(loc):\n if loc == 'no':\n\n # There are two forms of written Norwegian, Bokmål and Nynorsk, and\n # while ISO 639 includes `no` as a \"macrolanguage\", the CLDR (upon\n # which Babel, our i18n/l10n library, depends), does not include it at\n # all. Therefore, if a client sends `no` we interpret it as `nb_NO`.\n\n loc = 'nb_NO'\n return loc.replace('-', '_').lower()\n\n\ndef regularize_locales(locales):\n \"\"\"Yield locale strings in the same format as they are in LOCALES.\n \"\"\"\n locales = [regularize_locale(loc) for loc in locales]\n locales_set = set(locales)\n for loc in locales:\n yield loc\n parts = loc.split('_')\n if len(parts) > 1 and parts[0] not in locales_set:\n # Insert \"fr\" after \"fr_fr\" if it's not somewhere in the list\n yield parts[0]\n alias = ALIASES.get(loc)\n if alias and alias not in locales_set:\n # Insert \"fr_fr\" after \"fr\" if it's not somewhere in the list\n yield alias\n if 'en' not in locales_set and 'en_us' not in locales_set:\n yield 'en'\n yield 'en_us'\n\n\ndef parse_accept_lang(accept_lang):\n languages = (lang.split(\";\", 1)[0] for lang in accept_lang.split(\",\"))\n return regularize_locales(languages)\n\n\ndef match_lang(languages):\n for lang in languages:\n loc = LOCALES.get(lang)\n if loc:\n return loc\n return LOCALE_EN\n\n\ndef get_lang_options(request, locale, previously_used_langs, add_multi=False):\n pref_langs = set(request.accept_langs + previously_used_langs)\n langs = OrderedDict()\n if add_multi:\n langs.update([('mul', locale.languages.get('mul', 'Multilingual'))])\n langs.update((k, v) for k, v in locale.languages_2.items() if k in pref_langs)\n langs.update([('', '---')]) # Separator\n langs.update(locale.languages_2)\n return langs\n\n\ndef set_up_i18n(website, request, state):\n accept_lang = request.headers.get(b\"Accept-Language\", b\"\").decode('ascii', 'replace')\n langs = request.accept_langs = list(parse_accept_lang(accept_lang))\n loc = match_lang(langs)\n add_helpers_to_context(state, loc)\n\n\ndef _return_(a):\n return a\n\n\ndef add_helpers_to_context(context, loc):\n context.update(\n escape=_return_, # to be overriden by renderers\n locale=loc,\n Bold=Bold,\n Money=Money,\n to_age=to_age,\n _=lambda s, *a, **kw: get_text(context, kw.pop('loc', loc), s, *a, **kw),\n ngettext=lambda *a, **kw: n_get_text(context, kw.pop('loc', loc), *a, **kw),\n format_date=loc.format_date,\n format_datetime=loc.format_datetime,\n format_decimal=loc.format_decimal,\n format_list=loc.format_list,\n format_money=loc.format_money,\n format_money_delta=loc.format_money_delta,\n format_number=loc.format_number,\n format_percent=loc.format_percent,\n parse_decimal=loc.parse_decimal_or_400,\n to_age_str=loc.to_age_str,\n )\n\n\ndef add_currency_to_state(request, user):\n cookie = request.headers.cookie.get(str('currency'))\n if cookie and cookie.value in CURRENCIES:\n return {'currency': cookie.value}\n if user:\n return {'currency': user.main_currency}\n else:\n return {'currency': CURRENCIES_MAP.get(request.country) or 'EUR'}\n\n\ndef extract_custom(extractor, *args, **kw):\n for match in extractor(*args, **kw):\n msg = match[2]\n if isinstance(msg, tuple) and msg[0] == '':\n unused = \"<unused singular (hash=%s)>\" % md5(msg[1]).hexdigest()\n msg = (unused, msg[1], msg[2])\n match = (match[0], match[1], msg, match[3])\n yield match\n\n\ndef extract_jinja2_custom(*args, **kw):\n return extract_custom(jinja2.ext.babel_extract, *args, **kw)\n\n\ndef extract_python_custom(*args, **kw):\n return extract_custom(extract_python, *args, **kw)\n\n\ndef extract_spt(fileobj, *args, **kw):\n pages = list(split_and_escape(fileobj.read().decode('utf8')))\n npages = len(pages)\n for i, page in enumerate(pages, 1):\n f = BytesIO(b'\\n' * page.offset + page.content.encode('utf8'))\n content_type, renderer = parse_specline(page.header)\n extractor = None\n python_page = i < 3 and i < npages and not page.header\n json_page = renderer in ('json_dump', 'jsonp_dump')\n if python_page or json_page:\n extractor = extract_python_custom\n else:\n extractor = extract_jinja2_custom\n if extractor:\n for match in extractor(f, *args, **kw):\n yield match\n\n\nif __name__ == '__main__':\n import sys\n\n from babel.messages.pofile import read_po, write_po\n\n if sys.argv[1] == 'po-reflag':\n # This adds the `python-brace-format` flag to messages that contain braces\n # https://github.com/python-babel/babel/issues/333\n pot_path = sys.argv[2]\n print('rewriting PO template file', pot_path)\n # read PO file\n with open(pot_path, 'rb') as pot:\n catalog = read_po(pot)\n # tweak message flags\n for m in catalog:\n msg = m.id\n contains_brace = any(\n '{' in s for s in (msg if isinstance(msg, tuple) else (msg,))\n )\n if contains_brace:\n m.flags.add('python-brace-format')\n m.flags.discard('python-format')\n # write back\n with open(pot_path, 'wb') as pot:\n write_po(pot, catalog, width=0)\n\n else:\n print(\"unknown command\")\n raise SystemExit(1)\n","path":"liberapay/utils/i18n.py"}],"string":"[\n {\n \"content\": \"# encoding: utf8\\nfrom __future__ import print_function, unicode_literals\\n\\nfrom collections import namedtuple, OrderedDict\\nfrom datetime import date, datetime, timedelta\\nfrom decimal import Decimal, InvalidOperation\\nfrom hashlib import md5\\nfrom io import BytesIO\\nimport re\\nfrom unicodedata import combining, normalize\\n\\nfrom six import text_type\\n\\nfrom aspen.simplates.pagination import parse_specline, split_and_escape\\nimport babel.core\\nfrom babel.dates import format_date, format_datetime, format_timedelta\\nfrom babel.messages.extract import extract_python\\nfrom babel.messages.pofile import Catalog\\nfrom babel.numbers import (\\n format_currency, format_decimal, format_number, format_percent,\\n NumberFormatError, parse_decimal\\n)\\nimport jinja2.ext\\nfrom mangopay.utils import Money\\nfrom markupsafe import Markup\\nfrom pando.utils import utcnow\\n\\nfrom liberapay.constants import CURRENCIES\\nfrom liberapay.exceptions import InvalidNumber\\nfrom liberapay.utils.currencies import MoneyBasket\\nfrom liberapay.website import website\\n\\n\\ndef LegacyMoney(o):\\n return o if isinstance(o, (Money, MoneyBasket)) else Money(o, 'EUR')\\n\\n\\nWrap = namedtuple('Wrap', 'value wrapper')\\n\\n\\nBOLD = Markup('<b>%s</b>')\\n\\n\\ndef Bold(value):\\n return Wrap(value, BOLD)\\n\\n\\nclass Age(timedelta):\\n\\n def __new__(cls, *a, **kw):\\n if len(a) == 1 and not kw and isinstance(a[0], timedelta):\\n return timedelta.__new__(cls, a[0].days, a[0].seconds, a[0].microseconds)\\n return timedelta.__new__(cls, *a, **kw)\\n\\n\\nclass Locale(babel.core.Locale):\\n\\n def __init__(self, *a, **kw):\\n super(Locale, self).__init__(*a, **kw)\\n self.decimal_symbol = self.number_symbols.get('decimal', '.')\\n delta_p = self.currency_formats['standard'].pattern\\n assert ';' not in delta_p\\n self.currency_delta_pattern = '+{0};-{0}'.format(delta_p)\\n\\n def format_money(self, m, format=None, trailing_zeroes=True):\\n s = format_currency(m.amount, m.currency, format, locale=self)\\n if not trailing_zeroes:\\n s = s.replace(self.decimal_symbol + '00', '')\\n return s\\n\\n def format_date(self, *a):\\n return format_date(*a, locale=self)\\n\\n def format_datetime(self, *a):\\n return format_datetime(*a, locale=self)\\n\\n def format_decimal(self, *a):\\n return format_decimal(*a, locale=self)\\n\\n def format_list(self, l):\\n n = len(l)\\n if n > 2:\\n last = n - 2\\n r = l[0]\\n for i, item in enumerate(l[1:]):\\n r = self.list_patterns[\\n 'start' if i == 0 else 'end' if i == last else 'middle'\\n ].format(r, item)\\n return r\\n elif n == 2:\\n return self.list_patterns['2'].format(*l)\\n else:\\n return l[0] if n == 1 else None\\n\\n def format_money_basket(self, basket, sep=','):\\n items = (\\n format_currency(money.amount, money.currency, locale=self)\\n for money in basket if money\\n )\\n if sep == ',':\\n r = self.format_list(list(items))\\n else:\\n r = sep.join(items)\\n return r or '0'\\n\\n def format_money_delta(self, money, *a):\\n return format_currency(\\n money.amount, money.currency, *a,\\n format=self.currency_delta_pattern, locale=self\\n )\\n\\n def format_number(self, *a):\\n return format_number(*a, locale=self)\\n\\n def format_percent(self, *a):\\n return format_percent(*a, locale=self)\\n\\n def parse_decimal_or_400(self, s, *a):\\n try:\\n return parse_decimal(s, *a, locale=self)\\n except (InvalidOperation, NumberFormatError, ValueError):\\n raise InvalidNumber(s)\\n\\n @staticmethod\\n def title(s):\\n return s[0].upper() + s[1:] if s and s[0].islower() else s\\n\\n def to_age_str(self, o, **kw):\\n if not isinstance(o, datetime):\\n kw.setdefault('granularity', 'day')\\n return format_timedelta(to_age(o), locale=self, **kw)\\n\\n\\nALIASES = {k: v.lower() for k, v in babel.core.LOCALE_ALIASES.items()}\\nALIASES_R = {v: k for k, v in ALIASES.items()}\\n\\n\\ndef strip_accents(s):\\n return ''.join(c for c in normalize('NFKD', s) if not combining(c))\\n\\n\\ndef make_sorted_dict(keys, d):\\n items = ((k, d[k]) for k in keys)\\n return OrderedDict(sorted(items, key=lambda t: strip_accents(t[1])))\\n\\n\\nCOUNTRY_CODES = \\\"\\\"\\\"\\n AD AE AF AG AI AL AM AO AQ AR AS AT AU AW AX AZ BA BB BD BE BF BG BH BI BJ\\n BL BM BN BO BQ BR BS BT BV BW BY BZ CA CC CD CF CG CH CI CK CL CM CN CO CR\\n CU CV CW CX CY CZ DE DJ DK DM DO DZ EC EE EG EH ER ES ET FI FJ FK FM FO FR\\n GA GB GD GE GF GG GH GI GL GM GN GP GQ GR GS GT GU GW GY HK HM HN HR HT HU\\n ID IE IL IM IN IO IQ IR IS IT JE JM JO JP KE KG KH KI KM KN KP KR KW KY KZ\\n LA LB LC LI LK LR LS LT LU LV LY MA MC MD ME MF MG MH MK ML MM MN MO MP MQ\\n MR MS MT MU MV MW MX MY MZ NA NC NE NF NG NI NL NO NP NR NU NZ OM PA PE PF\\n PG PH PK PL PM PN PR PS PT PW PY QA RE RO RS RU RW SA SB SC SD SE SG SH SI\\n SJ SK SL SM SN SO SR SS ST SV SX SY SZ TC TD TF TG TH TJ TK TL TM TN TO TR\\n TT TV TW TZ UA UG UM US UY UZ VA VC VE VG VI VN VU WF WS YE YT ZA ZM ZW\\n\\\"\\\"\\\".split()\\n\\nCOUNTRIES = make_sorted_dict(COUNTRY_CODES, Locale('en').territories)\\n\\nCURRENCIES_MAP = {\\n k: v[-1][0]\\n for k, v in babel.core.get_global('territory_currencies').items()\\n if v[-1][0] in CURRENCIES\\n}\\n\\nLANGUAGE_CODES_2 = \\\"\\\"\\\"\\n aa af ak am ar as az be bg bm bn bo br bs ca cs cy da de dz ee el en eo es\\n et eu fa ff fi fo fr ga gd gl gu gv ha he hi hr hu hy ia id ig ii is it ja\\n ka ki kk kl km kn ko ks kw ky lg ln lo lt lu lv mg mk ml mn mr ms mt my nb\\n nd ne nl nn nr om or os pa pl ps pt rm rn ro ru rw se sg si sk sl sn so sq\\n sr ss st sv sw ta te tg th ti tn to tr ts uk ur uz ve vi vo xh yo zh zu\\n\\\"\\\"\\\".split()\\n\\nLANGUAGES_2 = make_sorted_dict(LANGUAGE_CODES_2, Locale('en').languages)\\n\\nLOCALES = {}\\nLOCALE_EN = LOCALES['en'] = Locale('en')\\nLOCALE_EN.catalog = Catalog('en')\\nLOCALE_EN.catalog.plural_func = lambda n: n != 1\\nLOCALE_EN.countries = COUNTRIES\\nLOCALE_EN.languages_2 = LANGUAGES_2\\n\\n\\nSEARCH_CONFS = dict((\\n ('da', 'danish'),\\n ('de', 'german'),\\n ('en', 'english'),\\n ('es', 'spanish'),\\n ('fi', 'finnish'),\\n ('fr', 'french'),\\n ('hu', 'hungarian'),\\n ('it', 'italian'),\\n ('nb', 'norwegian'),\\n ('nl', 'dutch'),\\n ('nn', 'norwegian'),\\n ('pt', 'portuguese'),\\n ('ro', 'romanian'),\\n ('ru', 'russian'),\\n ('sv', 'swedish'),\\n ('tr', 'turkish'),\\n))\\n\\n\\n_ = lambda a: a\\nHTTP_ERRORS = {\\n 403: _(\\\"Forbidden\\\"),\\n 404: _(\\\"Not Found\\\"),\\n 429: _(\\\"Too Many Requests\\\"),\\n 500: _(\\\"Internal Server Error\\\"),\\n 502: _(\\\"Upstream Error\\\"),\\n 503: _(\\\"Service Unavailable\\\"),\\n 504: _(\\\"Gateway Timeout\\\"),\\n}\\ndel _\\n\\n\\nternary_re = re.compile(r'^\\\\(? *(.+?) *\\\\? *(.+?) *: *(.+?) *\\\\)?$')\\nand_re = re.compile(r' *&& *')\\nor_re = re.compile(r' *\\\\|\\\\| *')\\n\\n\\ndef ternary_sub(m):\\n g1, g2, g3 = m.groups()\\n return '%s if %s else %s' % (g2, g1, ternary_re.sub(ternary_sub, g3))\\n\\n\\ndef get_function_from_rule(rule):\\n rule = ternary_re.sub(ternary_sub, rule.strip())\\n rule = and_re.sub(' and ', rule)\\n rule = or_re.sub(' or ', rule)\\n return eval('lambda n: ' + rule, {'__builtins__': {}})\\n\\n\\ndef _decode(o):\\n return o.decode('ascii') if isinstance(o, bytes) else o\\n\\n\\ndef i_format(loc, s, *a, **kw):\\n if a:\\n a = list(a)\\n for c, f in [(a, enumerate), (kw, dict.items)]:\\n for k, o in f(c):\\n o, wrapper = (o.value, o.wrapper) if isinstance(o, Wrap) else (o, None)\\n if isinstance(o, text_type):\\n pass\\n elif isinstance(o, Decimal):\\n c[k] = format_decimal(o, locale=loc)\\n elif isinstance(o, int):\\n c[k] = format_number(o, locale=loc)\\n elif isinstance(o, Money):\\n c[k] = loc.format_money(o)\\n elif isinstance(o, MoneyBasket):\\n c[k] = loc.format_money_basket(o)\\n elif isinstance(o, Age):\\n c[k] = format_timedelta(o, locale=loc, **o.format_args)\\n elif isinstance(o, timedelta):\\n c[k] = format_timedelta(o, locale=loc)\\n elif isinstance(o, datetime):\\n c[k] = format_datetime(o, locale=loc)\\n elif isinstance(o, date):\\n c[k] = format_date(o, locale=loc)\\n elif isinstance(o, Locale):\\n c[k] = loc.languages.get(o.language) or o.language.upper()\\n if wrapper:\\n c[k] = wrapper % (c[k],)\\n return s.format(*a, **kw)\\n\\n\\ndef get_text(state, loc, s, *a, **kw):\\n escape = state['escape']\\n msg = loc.catalog.get(s)\\n s2 = None\\n if msg:\\n s2 = msg.string\\n if isinstance(s2, tuple):\\n s2 = s2[0]\\n if not s2:\\n s2 = s\\n if loc != LOCALE_EN:\\n loc = LOCALE_EN\\n state['partial_translation'] = True\\n if a or kw:\\n try:\\n return i_format(loc, escape(_decode(s2)), *a, **kw)\\n except Exception as e:\\n website.tell_sentry(e, state)\\n return i_format(LOCALE_EN, escape(_decode(s)), *a, **kw)\\n return escape(s2)\\n\\n\\ndef n_get_text(state, loc, s, p, n, *a, **kw):\\n escape = state['escape']\\n n, wrapper = (n.value, n.wrapper) if isinstance(n, Wrap) else (n, None)\\n n = n or 0\\n msg = loc.catalog.get((s, p) if s else p)\\n s2 = None\\n if msg:\\n try:\\n s2 = msg.string[loc.catalog.plural_func(n)]\\n except Exception as e:\\n website.tell_sentry(e, state)\\n if not s2:\\n s2 = s if n == 1 else p\\n if loc != LOCALE_EN:\\n loc = LOCALE_EN\\n state['partial_translation'] = True\\n kw['n'] = format_number(n, locale=loc) or n\\n if wrapper:\\n kw['n'] = wrapper % kw['n']\\n try:\\n return i_format(loc, escape(_decode(s2)), *a, **kw)\\n except Exception as e:\\n website.tell_sentry(e, state)\\n return i_format(LOCALE_EN, escape(_decode(s if n == 1 else p)), *a, **kw)\\n\\n\\ndef getdoc(state, name):\\n versions = state['website'].docs[name]\\n for lang in state['request'].accept_langs:\\n doc = versions.get(lang)\\n if doc:\\n return doc\\n return versions['en']\\n\\n\\ndef to_age(dt, **kw):\\n if isinstance(dt, datetime):\\n delta = Age(dt - utcnow())\\n else:\\n delta = Age(dt - date.today())\\n kw.setdefault('granularity', 'day')\\n delta.format_args = kw\\n return delta\\n\\n\\ndef regularize_locale(loc):\\n if loc == 'no':\\n\\n # There are two forms of written Norwegian, Bokmål and Nynorsk, and\\n # while ISO 639 includes `no` as a \\\"macrolanguage\\\", the CLDR (upon\\n # which Babel, our i18n/l10n library, depends), does not include it at\\n # all. Therefore, if a client sends `no` we interpret it as `nb_NO`.\\n\\n loc = 'nb_NO'\\n return loc.replace('-', '_').lower()\\n\\n\\ndef regularize_locales(locales):\\n \\\"\\\"\\\"Yield locale strings in the same format as they are in LOCALES.\\n \\\"\\\"\\\"\\n locales = [regularize_locale(loc) for loc in locales]\\n locales_set = set(locales)\\n for loc in locales:\\n yield loc\\n parts = loc.split('_')\\n if len(parts) > 1 and parts[0] not in locales_set:\\n # Insert \\\"fr\\\" after \\\"fr_fr\\\" if it's not somewhere in the list\\n yield parts[0]\\n alias = ALIASES.get(loc)\\n if alias and alias not in locales_set:\\n # Insert \\\"fr_fr\\\" after \\\"fr\\\" if it's not somewhere in the list\\n yield alias\\n if 'en' not in locales_set and 'en_us' not in locales_set:\\n yield 'en'\\n yield 'en_us'\\n\\n\\ndef parse_accept_lang(accept_lang):\\n languages = (lang.split(\\\";\\\", 1)[0] for lang in accept_lang.split(\\\",\\\"))\\n return regularize_locales(languages)\\n\\n\\ndef match_lang(languages):\\n for lang in languages:\\n loc = LOCALES.get(lang)\\n if loc:\\n return loc\\n return LOCALE_EN\\n\\n\\ndef get_lang_options(request, locale, previously_used_langs, add_multi=False):\\n pref_langs = set(request.accept_langs + previously_used_langs)\\n langs = OrderedDict()\\n if add_multi:\\n langs.update([('mul', locale.languages.get('mul', 'Multilingual'))])\\n langs.update((k, v) for k, v in locale.languages_2.items() if k in pref_langs)\\n langs.update([('', '---')]) # Separator\\n langs.update(locale.languages_2)\\n return langs\\n\\n\\ndef set_up_i18n(website, request, state):\\n accept_lang = request.headers.get(b\\\"Accept-Language\\\", b\\\"\\\").decode('ascii', 'replace')\\n langs = request.accept_langs = list(parse_accept_lang(accept_lang))\\n loc = match_lang(langs)\\n add_helpers_to_context(state, loc)\\n\\n\\ndef _return_(a):\\n return a\\n\\n\\ndef add_helpers_to_context(context, loc):\\n context.update(\\n escape=_return_, # to be overriden by renderers\\n locale=loc,\\n Bold=Bold,\\n Money=Money,\\n to_age=to_age,\\n _=lambda s, *a, **kw: get_text(context, kw.pop('loc', loc), s, *a, **kw),\\n ngettext=lambda *a, **kw: n_get_text(context, kw.pop('loc', loc), *a, **kw),\\n format_date=loc.format_date,\\n format_datetime=loc.format_datetime,\\n format_decimal=loc.format_decimal,\\n format_list=loc.format_list,\\n format_money=loc.format_money,\\n format_money_delta=loc.format_money_delta,\\n format_number=loc.format_number,\\n format_percent=loc.format_percent,\\n parse_decimal=loc.parse_decimal_or_400,\\n to_age_str=loc.to_age_str,\\n )\\n\\n\\ndef add_currency_to_state(request, user):\\n cookie = request.headers.cookie.get(str('currency'))\\n if cookie and cookie.value in CURRENCIES:\\n return {'currency': cookie.value}\\n if user:\\n return {'currency': user.main_currency}\\n else:\\n return {'currency': CURRENCIES_MAP.get(request.country) or 'EUR'}\\n\\n\\ndef extract_custom(extractor, *args, **kw):\\n for match in extractor(*args, **kw):\\n msg = match[2]\\n if isinstance(msg, tuple) and msg[0] == '':\\n unused = \\\"<unused singular (hash=%s)>\\\" % md5(msg[1]).hexdigest()\\n msg = (unused, msg[1], msg[2])\\n match = (match[0], match[1], msg, match[3])\\n yield match\\n\\n\\ndef extract_jinja2_custom(*args, **kw):\\n return extract_custom(jinja2.ext.babel_extract, *args, **kw)\\n\\n\\ndef extract_python_custom(*args, **kw):\\n return extract_custom(extract_python, *args, **kw)\\n\\n\\ndef extract_spt(fileobj, *args, **kw):\\n pages = list(split_and_escape(fileobj.read().decode('utf8')))\\n npages = len(pages)\\n for i, page in enumerate(pages, 1):\\n f = BytesIO(b'\\\\n' * page.offset + page.content.encode('utf8'))\\n content_type, renderer = parse_specline(page.header)\\n extractor = None\\n python_page = i < 3 and i < npages and not page.header\\n json_page = renderer in ('json_dump', 'jsonp_dump')\\n if python_page or json_page:\\n extractor = extract_python_custom\\n else:\\n extractor = extract_jinja2_custom\\n if extractor:\\n for match in extractor(f, *args, **kw):\\n yield match\\n\\n\\nif __name__ == '__main__':\\n import sys\\n\\n from babel.messages.pofile import read_po, write_po\\n\\n if sys.argv[1] == 'po-reflag':\\n # This adds the `python-brace-format` flag to messages that contain braces\\n # https://github.com/python-babel/babel/issues/333\\n pot_path = sys.argv[2]\\n print('rewriting PO template file', pot_path)\\n # read PO file\\n with open(pot_path, 'rb') as pot:\\n catalog = read_po(pot)\\n # tweak message flags\\n for m in catalog:\\n msg = m.id\\n contains_brace = any(\\n '{' in s for s in (msg if isinstance(msg, tuple) else (msg,))\\n )\\n if contains_brace:\\n m.flags.add('python-brace-format')\\n m.flags.discard('python-format')\\n # write back\\n with open(pot_path, 'wb') as pot:\\n write_po(pot, catalog, width=0)\\n\\n else:\\n print(\\\"unknown command\\\")\\n raise SystemExit(1)\\n\",\n \"path\": \"liberapay/utils/i18n.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/Makefile b/Makefile\nindex 46d5cebbe3..547fd1b5da 100644\n--- a/Makefile\n+++ b/Makefile\n@@ -82,7 +82,7 @@ pytest-i18n-browse: env\n \tPYTHONPATH=. LIBERAPAY_I18N_TEST=yes $(py_test) -k TestTranslations ./tests/py/\n \n _i18n_extract: env\n-\t@PYTHONPATH=. $(env_bin)/pybabel extract -F .babel_extract --no-wrap -o i18n/core.pot --sort-by-file emails liberapay templates www *.spt\n+\t@PYTHONPATH=. $(env_bin)/pybabel extract -F .babel_extract --no-wrap -o i18n/core.pot --sort-by-file _i18n_warning.html emails liberapay templates www *.spt\n \t@PYTHONPATH=. $(env_bin)/python liberapay/utils/i18n.py po-reflag i18n/core.pot\n \t@for f in i18n/*/*.po; do \\\n \t\t$(env_bin)/pybabel update -i i18n/core.pot -l $$(basename -s '.po' \"$$f\") -o \"$$f\" --ignore-obsolete --no-fuzzy-matching --no-wrap; \\\ndiff --git a/_i18n_warning.html b/_i18n_warning.html\nnew file mode 100644\nindex 0000000000..fa97558fa6\n--- /dev/null\n+++ b/_i18n_warning.html\n@@ -0,0 +1,4 @@\n+<div class=\"notification notification-warning top\">{{ _(\n+ \"The {language} translation of this page is not yet complete.\"\n+ , language=locale\n+) }}</div>\ndiff --git a/liberapay/utils/i18n.py b/liberapay/utils/i18n.py\nindex 6885080af0..6d0543eba9 100644\n--- a/liberapay/utils/i18n.py\n+++ b/liberapay/utils/i18n.py\n@@ -261,6 +261,8 @@ def i_format(loc, s, *a, **kw):\n c[k] = format_datetime(o, locale=loc)\n elif isinstance(o, date):\n c[k] = format_date(o, locale=loc)\n+ elif isinstance(o, Locale):\n+ c[k] = loc.languages.get(o.language) or o.language.upper()\n if wrapper:\n c[k] = wrapper % (c[k],)\n return s.format(*a, **kw)\ndiff --git a/style/base/base.scss b/style/base/base.scss\nindex 3c7a1b14b8..469a563442 100644\n--- a/style/base/base.scss\n+++ b/style/base/base.scss\n@@ -1,10 +1,12 @@\n-html, body {\n+html {\n width: 100%;\n height: 100%;\n+ overflow-y: scroll;\n }\n \n body {\n- overflow-y: scroll;\n+ display: flex;\n+ flex-direction: column;\n & > footer {\n display: flex;\n justify-content: space-around;\n@@ -28,6 +30,9 @@ body {\n }\n }\n }\n+ & > .top {\n+ order: -1;\n+ }\n }\n \n @mixin transition {\n@@ -478,26 +483,30 @@ section.invoice-details {\n }\n }\n \n-#notification-area-bottom, #notification-area-top {\n+.notification {\n+ padding: 14px;\n text-align: center;\n z-index: 10;\n+}\n \n- .notification {\n- padding: 10px;\n- }\n+.notification-error {\n+ background-color: $state-danger-bg;\n+ border-top: 1px solid $state-danger-border;\n+ color: $state-danger-text;\n+}\n \n- .notification-error {\n- background-color: $state-danger-bg;\n- border-top: 1px solid $state-danger-border;\n- color: $state-danger-text;\n- }\n+.notification-success {\n+ background-color: $state-success-bg;\n+ border-color: $state-success-border;\n+ color: $state-success-text;\n+}\n \n- .notification-success {\n- background-color: $state-success-bg;\n- border-color: $state-success-border;\n- color: $state-success-text;\n- }\n+.notification-warning {\n+ background-color: $state-warning-bg;\n+ border-color: $state-warning-border;\n+ color: $state-warning-text;\n }\n+\n #notification-area-bottom {\n bottom: 0;\n left: 0;\ndiff --git a/templates/base.html b/templates/base.html\nindex 3e59a27dbd..2465b69905 100644\n--- a/templates/base.html\n+++ b/templates/base.html\n@@ -35,15 +35,15 @@\n <body id=\"{{ page_id or '' }}\">\n \n % if not website.db\n-<div id=\"notification-area-top\"><div class=\"notification notification-error\">{{ _(\n+<div class=\"notification notification-error\">{{ _(\n \"We're currently experiencing technical failures. As a result most things don't work. \"\n \"Sorry for the inconvenience, we'll get everything back to normal ASAP.\"\n-) }}</div></div>\n+) }}</div>\n % elif db_is_readonly\n-<div id=\"notification-area-top\"><div class=\"notification notification-error\">{{ _(\n+<div class=\"notification notification-error\">{{ _(\n \"Liberapay is currently in read-only mode as we are migrating the database. \"\n \"This shouldn't take more than a few minutes.\"\n-) }}</div></div>\n+) }}</div>\n % endif\n \n <nav class=\"navbar navbar-liberapay navbar-static-top navbar-collapse\"\n@@ -152,5 +152,9 @@ <h1 class=\"{{ 'hidden-xs hidden-sm' if subhead }}\">{{ title }}</h1>\n }}<span class=\"close\">×</span></div></div>\n % endif\n \n+% if state['partial_translation']\n+ % include \"_i18n_warning.html\"\n+% endif\n+\n </body>\n </html>\n"}}},{"rowIdx":6596,"cells":{"in_source_id":{"kind":"string","value":"kornia__kornia-1421"},"issue":{"kind":"string","value":"PyPI tarball missing required files\n### Describe the bug\r\n\r\nThe tarball uploaded to PyPI does not contain `requirements/*` files which are required to run the `setup.py` file.\r\n\r\n### Reproduction steps\r\n\r\n```bash\r\n$ wget https://files.pythonhosted.org/packages/source/k/kornia/kornia-0.6.0.tar.gz\r\n$ tar zxf kornia-0.6.0.tar.gz\r\n$ cd kornia-0.6.0\r\n$ python setup.py install\r\n...\r\nTraceback (most recent call last):\r\n File \"setup.py\", line 43, in <module>\r\n \"x\": load_requirements(\"requirements/x.txt\"),\r\n File \"setup.py\", line 38, in load_requirements\r\n with open(filename) as f:\r\nFileNotFoundError: [Errno 2] No such file or directory: 'requirements/x.txt'\r\n```\r\n\r\n\r\n### Expected behavior\r\n\r\nI would expect the `setup.py` to function correctly. I believe there's a setuptools option to control which files get included in the upload tarball.\r\n\r\n### Environment\r\n\r\n```shell\r\n- PyTorch Version (e.g., 1.0): 1.10\r\n- OS (e.g., Linux): macOS\r\n- How you installed PyTorch (`conda`, `pip`, source): `spack`\r\n- Build command you used (if compiling from source): `python setup.py install`\r\n- Python version: 3.8.11\r\n- CUDA/cuDNN version: N/A\r\n- GPU models and configuration: N/A\r\n- Any other relevant information: N/A\r\n```\r\n\r\n\r\n### Additional context\r\n\r\n_No response_\n"},"before_files":{"kind":"list like","value":[{"content":"# Welcome to the Kornia setup.py.\n#\nimport re\nimport sys\n\n# Make sure that kornia is running on Python 3.6.0 or later\n# (to avoid running into this bug: https://bugs.python.org/issue29246)\n\nif sys.version_info < (3, 6, 0):\n raise RuntimeError(\"Kornia requires Python 3.6.0 or later.\")\n\n\nfrom setuptools import find_packages, setup\n\n\ndef find_version(file_path: str) -> str:\n version_file = open(file_path).read()\n version_match = re.search(r\"^__version__ = ['\\\"]([^'\\\"]*)['\\\"]\", version_file, re.M)\n if not version_match:\n raise RuntimeError(f\"Unable to find version string in {file_path}\")\n return version_match.group(1)\n\n\nVERSION = find_version(\"kornia/_version.py\")\n\n\n# NOTE: kornia MUST only require PyTorch\nrequirements = [\n 'torch>=1.8.1', 'packaging',\n]\n\n# open readme file and set long description\nwith open(\"README.md\", encoding=\"utf-8\") as fh:\n long_description = fh.read()\n\n\ndef load_requirements(filename: str):\n with open(filename) as f:\n return [x.strip() for x in f.readlines() if \"-r\" != x[0:2]]\n\n\nrequirements_extras = {\n \"x\": load_requirements(\"requirements/x.txt\"),\n \"dev\": load_requirements(\"requirements/dev.txt\")\n}\nrequirements_extras[\"all\"] = requirements_extras[\"x\"] + requirements_extras[\"dev\"]\n\n\nif __name__ == '__main__':\n setup(\n name='kornia',\n version=VERSION,\n author='Edgar Riba',\n author_email='edgar@kornia.org',\n url='https://www.kornia.org',\n download_url='https://github.com/kornia/kornia',\n license='Apache License 2.0',\n description='Open Source Differentiable Computer Vision Library for PyTorch',\n long_description=long_description,\n long_description_content_type='text/markdown',\n python_requires='>=3.6',\n setup_requires=['pytest-runner'],\n tests_require=['pytest'],\n packages=find_packages(exclude=('docs', 'test', 'examples')),\n package_data={\"kornia\": [\"py.typed\"]},\n zip_safe=True,\n install_requires=requirements,\n extras_require=requirements_extras,\n keywords=['computer vision', 'deep learning', 'pytorch'],\n project_urls={\n \"Bug Tracker\": \"https://github.com/kornia/kornia/issues\",\n \"Documentation\": \"https://kornia.readthedocs.io/en/latest\",\n \"Source Code\": \"https://github.com/kornia/kornia\",\n },\n classifiers=[\n 'Environment :: GPU',\n 'Environment :: Console',\n 'Natural Language :: English',\n # How mature is this project? Common values are\n # 3 - Alpha, 4 - Beta, 5 - Production/Stable\n 'Development Status :: 4 - Beta',\n # Indicate who your project is intended for\n 'Intended Audience :: Developers',\n 'Intended Audience :: Education',\n 'Intended Audience :: Science/Research',\n 'Intended Audience :: Information Technology',\n 'Topic :: Software Development :: Libraries',\n 'Topic :: Scientific/Engineering :: Artificial Intelligence',\n 'Topic :: Scientific/Engineering :: Image Processing',\n # Pick your license as you wish\n 'License :: OSI Approved :: Apache Software License',\n 'Operating System :: OS Independent',\n # Specify the Python versions you support here. In particular, ensure\n # that you indicate whether you support Python 2, Python 3 or both.\n 'Programming Language :: Python :: 3',\n 'Programming Language :: Python :: 3.6',\n 'Programming Language :: Python :: 3.7',\n 'Programming Language :: Python :: 3.8',\n ],\n )\n","path":"setup.py"}],"string":"[\n {\n \"content\": \"# Welcome to the Kornia setup.py.\\n#\\nimport re\\nimport sys\\n\\n# Make sure that kornia is running on Python 3.6.0 or later\\n# (to avoid running into this bug: https://bugs.python.org/issue29246)\\n\\nif sys.version_info < (3, 6, 0):\\n raise RuntimeError(\\\"Kornia requires Python 3.6.0 or later.\\\")\\n\\n\\nfrom setuptools import find_packages, setup\\n\\n\\ndef find_version(file_path: str) -> str:\\n version_file = open(file_path).read()\\n version_match = re.search(r\\\"^__version__ = ['\\\\\\\"]([^'\\\\\\\"]*)['\\\\\\\"]\\\", version_file, re.M)\\n if not version_match:\\n raise RuntimeError(f\\\"Unable to find version string in {file_path}\\\")\\n return version_match.group(1)\\n\\n\\nVERSION = find_version(\\\"kornia/_version.py\\\")\\n\\n\\n# NOTE: kornia MUST only require PyTorch\\nrequirements = [\\n 'torch>=1.8.1', 'packaging',\\n]\\n\\n# open readme file and set long description\\nwith open(\\\"README.md\\\", encoding=\\\"utf-8\\\") as fh:\\n long_description = fh.read()\\n\\n\\ndef load_requirements(filename: str):\\n with open(filename) as f:\\n return [x.strip() for x in f.readlines() if \\\"-r\\\" != x[0:2]]\\n\\n\\nrequirements_extras = {\\n \\\"x\\\": load_requirements(\\\"requirements/x.txt\\\"),\\n \\\"dev\\\": load_requirements(\\\"requirements/dev.txt\\\")\\n}\\nrequirements_extras[\\\"all\\\"] = requirements_extras[\\\"x\\\"] + requirements_extras[\\\"dev\\\"]\\n\\n\\nif __name__ == '__main__':\\n setup(\\n name='kornia',\\n version=VERSION,\\n author='Edgar Riba',\\n author_email='edgar@kornia.org',\\n url='https://www.kornia.org',\\n download_url='https://github.com/kornia/kornia',\\n license='Apache License 2.0',\\n description='Open Source Differentiable Computer Vision Library for PyTorch',\\n long_description=long_description,\\n long_description_content_type='text/markdown',\\n python_requires='>=3.6',\\n setup_requires=['pytest-runner'],\\n tests_require=['pytest'],\\n packages=find_packages(exclude=('docs', 'test', 'examples')),\\n package_data={\\\"kornia\\\": [\\\"py.typed\\\"]},\\n zip_safe=True,\\n install_requires=requirements,\\n extras_require=requirements_extras,\\n keywords=['computer vision', 'deep learning', 'pytorch'],\\n project_urls={\\n \\\"Bug Tracker\\\": \\\"https://github.com/kornia/kornia/issues\\\",\\n \\\"Documentation\\\": \\\"https://kornia.readthedocs.io/en/latest\\\",\\n \\\"Source Code\\\": \\\"https://github.com/kornia/kornia\\\",\\n },\\n classifiers=[\\n 'Environment :: GPU',\\n 'Environment :: Console',\\n 'Natural Language :: English',\\n # How mature is this project? Common values are\\n # 3 - Alpha, 4 - Beta, 5 - Production/Stable\\n 'Development Status :: 4 - Beta',\\n # Indicate who your project is intended for\\n 'Intended Audience :: Developers',\\n 'Intended Audience :: Education',\\n 'Intended Audience :: Science/Research',\\n 'Intended Audience :: Information Technology',\\n 'Topic :: Software Development :: Libraries',\\n 'Topic :: Scientific/Engineering :: Artificial Intelligence',\\n 'Topic :: Scientific/Engineering :: Image Processing',\\n # Pick your license as you wish\\n 'License :: OSI Approved :: Apache Software License',\\n 'Operating System :: OS Independent',\\n # Specify the Python versions you support here. In particular, ensure\\n # that you indicate whether you support Python 2, Python 3 or both.\\n 'Programming Language :: Python :: 3',\\n 'Programming Language :: Python :: 3.6',\\n 'Programming Language :: Python :: 3.7',\\n 'Programming Language :: Python :: 3.8',\\n ],\\n )\\n\",\n \"path\": \"setup.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"# Welcome to the Kornia setup.py.\n#\nimport re\nimport sys\n\n# Make sure that kornia is running on Python 3.6.0 or later\n# (to avoid running into this bug: https://bugs.python.org/issue29246)\n\nif sys.version_info < (3, 6, 0):\n raise RuntimeError(\"Kornia requires Python 3.6.0 or later.\")\n\n\nfrom setuptools import find_packages, setup\n\n\ndef find_version(file_path: str) -> str:\n version_file = open(file_path).read()\n version_match = re.search(r\"^__version__ = ['\\\"]([^'\\\"]*)['\\\"]\", version_file, re.M)\n if not version_match:\n raise RuntimeError(f\"Unable to find version string in {file_path}\")\n return version_match.group(1)\n\n\nVERSION = find_version(\"kornia/_version.py\")\n\n\n# NOTE: kornia MUST only require PyTorch\nrequirements = [\n 'torch>=1.8.1', 'packaging',\n]\n\n# open readme file and set long description\nwith open(\"README.md\", encoding=\"utf-8\") as fh:\n long_description = fh.read()\n\n\ndef load_requirements(filename: str):\n with open(filename) as f:\n return [x.strip() for x in f.readlines() if \"-r\" != x[0:2]]\n\n\nrequirements_extras = {\n \"x\": load_requirements(\"requirements/x.txt\"),\n \"dev\": load_requirements(\"requirements/dev.txt\")\n}\nrequirements_extras[\"all\"] = requirements_extras[\"x\"] + requirements_extras[\"dev\"]\n\n\nif __name__ == '__main__':\n setup(\n name='kornia',\n version=VERSION,\n author='Edgar Riba',\n author_email='edgar@kornia.org',\n url='https://www.kornia.org',\n download_url='https://github.com/kornia/kornia',\n license='Apache License 2.0',\n description='Open Source Differentiable Computer Vision Library for PyTorch',\n long_description=long_description,\n long_description_content_type='text/markdown',\n python_requires='>=3.6',\n setup_requires=['pytest-runner'],\n tests_require=['pytest'],\n packages=find_packages(exclude=('docs', 'test', 'examples')),\n package_data={\"kornia\": [\"py.typed\"]},\n data_files=[('', ['requirements/x.txt', 'requirements/dev.txt'])],\n zip_safe=True,\n install_requires=requirements,\n extras_require=requirements_extras,\n keywords=['computer vision', 'deep learning', 'pytorch'],\n project_urls={\n \"Bug Tracker\": \"https://github.com/kornia/kornia/issues\",\n \"Documentation\": \"https://kornia.readthedocs.io/en/latest\",\n \"Source Code\": \"https://github.com/kornia/kornia\",\n },\n classifiers=[\n 'Environment :: GPU',\n 'Environment :: Console',\n 'Natural Language :: English',\n # How mature is this project? Common values are\n # 3 - Alpha, 4 - Beta, 5 - Production/Stable\n 'Development Status :: 4 - Beta',\n # Indicate who your project is intended for\n 'Intended Audience :: Developers',\n 'Intended Audience :: Education',\n 'Intended Audience :: Science/Research',\n 'Intended Audience :: Information Technology',\n 'Topic :: Software Development :: Libraries',\n 'Topic :: Scientific/Engineering :: Artificial Intelligence',\n 'Topic :: Scientific/Engineering :: Image Processing',\n # Pick your license as you wish\n 'License :: OSI Approved :: Apache Software License',\n 'Operating System :: OS Independent',\n # Specify the Python versions you support here. In particular, ensure\n # that you indicate whether you support Python 2, Python 3 or both.\n 'Programming Language :: Python :: 3',\n 'Programming Language :: Python :: 3.6',\n 'Programming Language :: Python :: 3.7',\n 'Programming Language :: Python :: 3.8',\n ],\n )\n","path":"setup.py"}],"string":"[\n {\n \"content\": \"# Welcome to the Kornia setup.py.\\n#\\nimport re\\nimport sys\\n\\n# Make sure that kornia is running on Python 3.6.0 or later\\n# (to avoid running into this bug: https://bugs.python.org/issue29246)\\n\\nif sys.version_info < (3, 6, 0):\\n raise RuntimeError(\\\"Kornia requires Python 3.6.0 or later.\\\")\\n\\n\\nfrom setuptools import find_packages, setup\\n\\n\\ndef find_version(file_path: str) -> str:\\n version_file = open(file_path).read()\\n version_match = re.search(r\\\"^__version__ = ['\\\\\\\"]([^'\\\\\\\"]*)['\\\\\\\"]\\\", version_file, re.M)\\n if not version_match:\\n raise RuntimeError(f\\\"Unable to find version string in {file_path}\\\")\\n return version_match.group(1)\\n\\n\\nVERSION = find_version(\\\"kornia/_version.py\\\")\\n\\n\\n# NOTE: kornia MUST only require PyTorch\\nrequirements = [\\n 'torch>=1.8.1', 'packaging',\\n]\\n\\n# open readme file and set long description\\nwith open(\\\"README.md\\\", encoding=\\\"utf-8\\\") as fh:\\n long_description = fh.read()\\n\\n\\ndef load_requirements(filename: str):\\n with open(filename) as f:\\n return [x.strip() for x in f.readlines() if \\\"-r\\\" != x[0:2]]\\n\\n\\nrequirements_extras = {\\n \\\"x\\\": load_requirements(\\\"requirements/x.txt\\\"),\\n \\\"dev\\\": load_requirements(\\\"requirements/dev.txt\\\")\\n}\\nrequirements_extras[\\\"all\\\"] = requirements_extras[\\\"x\\\"] + requirements_extras[\\\"dev\\\"]\\n\\n\\nif __name__ == '__main__':\\n setup(\\n name='kornia',\\n version=VERSION,\\n author='Edgar Riba',\\n author_email='edgar@kornia.org',\\n url='https://www.kornia.org',\\n download_url='https://github.com/kornia/kornia',\\n license='Apache License 2.0',\\n description='Open Source Differentiable Computer Vision Library for PyTorch',\\n long_description=long_description,\\n long_description_content_type='text/markdown',\\n python_requires='>=3.6',\\n setup_requires=['pytest-runner'],\\n tests_require=['pytest'],\\n packages=find_packages(exclude=('docs', 'test', 'examples')),\\n package_data={\\\"kornia\\\": [\\\"py.typed\\\"]},\\n data_files=[('', ['requirements/x.txt', 'requirements/dev.txt'])],\\n zip_safe=True,\\n install_requires=requirements,\\n extras_require=requirements_extras,\\n keywords=['computer vision', 'deep learning', 'pytorch'],\\n project_urls={\\n \\\"Bug Tracker\\\": \\\"https://github.com/kornia/kornia/issues\\\",\\n \\\"Documentation\\\": \\\"https://kornia.readthedocs.io/en/latest\\\",\\n \\\"Source Code\\\": \\\"https://github.com/kornia/kornia\\\",\\n },\\n classifiers=[\\n 'Environment :: GPU',\\n 'Environment :: Console',\\n 'Natural Language :: English',\\n # How mature is this project? Common values are\\n # 3 - Alpha, 4 - Beta, 5 - Production/Stable\\n 'Development Status :: 4 - Beta',\\n # Indicate who your project is intended for\\n 'Intended Audience :: Developers',\\n 'Intended Audience :: Education',\\n 'Intended Audience :: Science/Research',\\n 'Intended Audience :: Information Technology',\\n 'Topic :: Software Development :: Libraries',\\n 'Topic :: Scientific/Engineering :: Artificial Intelligence',\\n 'Topic :: Scientific/Engineering :: Image Processing',\\n # Pick your license as you wish\\n 'License :: OSI Approved :: Apache Software License',\\n 'Operating System :: OS Independent',\\n # Specify the Python versions you support here. In particular, ensure\\n # that you indicate whether you support Python 2, Python 3 or both.\\n 'Programming Language :: Python :: 3',\\n 'Programming Language :: Python :: 3.6',\\n 'Programming Language :: Python :: 3.7',\\n 'Programming Language :: Python :: 3.8',\\n ],\\n )\\n\",\n \"path\": \"setup.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/setup.py b/setup.py\nindex 746fa45add..074f51b7cf 100644\n--- a/setup.py\n+++ b/setup.py\n@@ -63,6 +63,7 @@ def load_requirements(filename: str):\n tests_require=['pytest'],\n packages=find_packages(exclude=('docs', 'test', 'examples')),\n package_data={\"kornia\": [\"py.typed\"]},\n+ data_files=[('', ['requirements/x.txt', 'requirements/dev.txt'])],\n zip_safe=True,\n install_requires=requirements,\n extras_require=requirements_extras,\n"}}},{"rowIdx":6597,"cells":{"in_source_id":{"kind":"string","value":"kivy__kivy-7372"},"issue":{"kind":"string","value":"Allow `get_focus_previous` with `numlock` enabled\n**Is your feature request related to a problem? Please describe.**\r\nWhen `numlock` is enabled, `shift+tab` doesn't call `get_focus_previous` for widgets inheriting `FocusBehavior`\r\n\r\n**Describe the solution you'd like**\r\nChange this:\r\nhttps://github.com/kivy/kivy/blob/ed68be56e4d580b00abd8f89705339e824c3b43d/kivy/uix/behaviors/focus.py#L534-L535\r\nto:\r\n```python\r\nif 'shift' in modifiers:\r\n next = self.get_focus_previous()\r\n```\r\nor if `ctrl+shift+tab` is undesired:\r\n```python\r\nif 'shift' in modifiers and 'ctrl' not in modifiers:\r\n next = self.get_focus_previous()\r\n```\r\n\r\nIf the devs approve, I'll submit a pull request\r\n\n"},"before_files":{"kind":"list like","value":[{"content":"'''\nFocus Behavior\n==============\n\nThe :class:`~kivy.uix.behaviors.FocusBehavior`\n`mixin <https://en.wikipedia.org/wiki/Mixin>`_ class provides\nkeyboard focus behavior. When combined with other\nFocusBehavior widgets it allows one to cycle focus among them by pressing\ntab. In addition, upon gaining focus, the instance will automatically\nreceive keyboard input.\n\nFocus, very different from selection, is intimately tied with the keyboard;\neach keyboard can focus on zero or one widgets, and each widget can only\nhave the focus of one keyboard. However, multiple keyboards can focus\nsimultaneously on different widgets. When escape is hit, the widget having\nthe focus of that keyboard will de-focus.\n\nManaging focus\n--------------\n\nIn essence, focus is implemented as a doubly linked list, where each\nnode holds a (weak) reference to the instance before it and after it,\nas visualized when cycling through the nodes using tab (forward) or\nshift+tab (backward). If a previous or next widget is not specified,\n:attr:`focus_next` and :attr:`focus_previous` defaults to `None`. This\nmeans that the :attr:`~kivy.uix.widget.Widget.children` list and\n:attr:`parents <kivy.uix.widget.Widget.parent>` are\nwalked to find the next focusable widget, unless :attr:`focus_next` or\n:attr:`focus_previous` is set to the `StopIteration` class, in which case\nfocus stops there.\n\nFor example, to cycle focus between :class:`~kivy.uix.button.Button`\nelements of a :class:`~kivy.uix.gridlayout.GridLayout`::\n\n class FocusButton(FocusBehavior, Button):\n pass\n\n grid = GridLayout(cols=4)\n for i in range(40):\n grid.add_widget(FocusButton(text=str(i)))\n # clicking on a widget will activate focus, and tab can now be used\n # to cycle through\n\nWhen using a software keyboard, typical on mobile and touch devices, the\nkeyboard display behavior is determined by the\n:attr:`~kivy.core.window.WindowBase.softinput_mode` property. You can use\nthis property to ensure the focused widget is not covered or obscured by the\nkeyboard.\n\nInitializing focus\n------------------\n\nWidgets needs to be visible before they can receive the focus. This means that\nsetting their *focus* property to True before they are visible will have no\neffect. To initialize focus, you can use the 'on_parent' event::\n\n from kivy.app import App\n from kivy.uix.textinput import TextInput\n\n class MyTextInput(TextInput):\n def on_parent(self, widget, parent):\n self.focus = True\n\n class SampleApp(App):\n def build(self):\n return MyTextInput()\n\n SampleApp().run()\n\nIf you are using a :class:`~kivy.uix.popup`, you can use the 'on_open' event.\n\nFor an overview of behaviors, please refer to the :mod:`~kivy.uix.behaviors`\ndocumentation.\n\n.. warning::\n\n This code is still experimental, and its API is subject to change in a\n future version.\n'''\n\n__all__ = ('FocusBehavior', )\n\nfrom kivy.properties import OptionProperty, ObjectProperty, BooleanProperty, \\\n AliasProperty\nfrom kivy.config import Config\nfrom kivy.base import EventLoop\n\n# When we are generating documentation, Config doesn't exist\n_is_desktop = False\n_keyboard_mode = 'system'\nif Config:\n _is_desktop = Config.getboolean('kivy', 'desktop')\n _keyboard_mode = Config.get('kivy', 'keyboard_mode')\n\n\nclass FocusBehavior(object):\n '''Provides keyboard focus behavior. When combined with other\n FocusBehavior widgets it allows one to cycle focus among them by pressing\n tab. Please see the\n :mod:`focus behavior module documentation <kivy.uix.behaviors.focus>`\n for more information.\n\n .. versionadded:: 1.9.0\n\n '''\n\n _requested_keyboard = False\n _keyboard = ObjectProperty(None, allownone=True)\n _keyboards = {}\n\n ignored_touch = []\n '''A list of touches that should not be used to defocus. After on_touch_up,\n every touch that is not in :attr:`ignored_touch` will defocus all the\n focused widgets if the config keyboard mode is not multi. Touches on\n focusable widgets that were used to focus are automatically added here.\n\n Example usage::\n\n class Unfocusable(Widget):\n\n def on_touch_down(self, touch):\n if self.collide_point(*touch.pos):\n FocusBehavior.ignored_touch.append(touch)\n\n Notice that you need to access this as a class, not an instance variable.\n '''\n\n def _set_keyboard(self, value):\n focus = self.focus\n keyboard = self._keyboard\n keyboards = FocusBehavior._keyboards\n if keyboard:\n self.focus = False # this'll unbind\n if self._keyboard: # remove assigned keyboard from dict\n del keyboards[keyboard]\n if value and value not in keyboards:\n keyboards[value] = None\n self._keyboard = value\n self.focus = focus\n\n def _get_keyboard(self):\n return self._keyboard\n keyboard = AliasProperty(_get_keyboard, _set_keyboard,\n bind=('_keyboard', ))\n '''The keyboard to bind to (or bound to the widget) when focused.\n\n When None, a keyboard is requested and released whenever the widget comes\n into and out of focus. If not None, it must be a keyboard, which gets\n bound and unbound from the widget whenever it's in or out of focus. It is\n useful only when more than one keyboard is available, so it is recommended\n to be set to None when only one keyboard is available.\n\n If more than one keyboard is available, whenever an instance gets focused\n a new keyboard will be requested if None. Unless the other instances lose\n focus (e.g. if tab was used), a new keyboard will appear. When this is\n undesired, the keyboard property can be used. For example, if there are\n two users with two keyboards, then each keyboard can be assigned to\n different groups of instances of FocusBehavior, ensuring that within\n each group, only one FocusBehavior will have focus, and will receive input\n from the correct keyboard. See `keyboard_mode` in :mod:`~kivy.config` for\n more information on the keyboard modes.\n\n **Keyboard and focus behavior**\n\n When using the keyboard, there are some important default behaviors you\n should keep in mind.\n\n * When Config's `keyboard_mode` is multi, each new touch is considered\n a touch by a different user and will set the focus (if clicked on a\n focusable) with a new keyboard. Already focused elements will not lose\n their focus (even if an unfocusable widget is touched).\n\n * If the keyboard property is set, that keyboard will be used when the\n instance gets focused. If widgets with different keyboards are linked\n through :attr:`focus_next` and :attr:`focus_previous`, then as they are\n tabbed through, different keyboards will become active. Therefore,\n typically it's undesirable to link instances which are assigned\n different keyboards.\n\n * When a widget has focus, setting its keyboard to None will remove its\n keyboard, but the widget will then immediately try to get\n another keyboard. In order to remove its keyboard, rather set its\n :attr:`focus` to False.\n\n * When using a software keyboard, typical on mobile and touch devices, the\n keyboard display behavior is determined by the\n :attr:`~kivy.core.window.WindowBase.softinput_mode` property. You can use\n this property to ensure the focused widget is not covered or obscured.\n\n :attr:`keyboard` is an :class:`~kivy.properties.AliasProperty` and defaults\n to None.\n\n .. warning:\n\n When assigning a keyboard, the keyboard must not be released while\n it is still assigned to an instance. Similarly, the keyboard created\n by the instance on focus and assigned to :attr:`keyboard` if None,\n will be released by the instance when the instance loses focus.\n Therefore, it is not safe to assign this keyboard to another instance's\n :attr:`keyboard`.\n '''\n\n is_focusable = BooleanProperty(_is_desktop)\n '''Whether the instance can become focused. If focused, it'll lose focus\n when set to False.\n\n :attr:`is_focusable` is a :class:`~kivy.properties.BooleanProperty` and\n defaults to True on a desktop (i.e. `desktop` is True in\n :mod:`~kivy.config`), False otherwise.\n '''\n\n focus = BooleanProperty(False)\n '''Whether the instance currently has focus.\n\n Setting it to True will bind to and/or request the keyboard, and input\n will be forwarded to the instance. Setting it to False will unbind\n and/or release the keyboard. For a given keyboard, only one widget can\n have its focus, so focusing one will automatically unfocus the other\n instance holding its focus.\n\n When using a software keyboard, please refer to the\n :attr:`~kivy.core.window.WindowBase.softinput_mode` property to determine\n how the keyboard display is handled.\n\n :attr:`focus` is a :class:`~kivy.properties.BooleanProperty` and defaults\n to False.\n '''\n\n focused = focus\n '''An alias of :attr:`focus`.\n\n :attr:`focused` is a :class:`~kivy.properties.BooleanProperty` and defaults\n to False.\n\n .. warning::\n :attr:`focused` is an alias of :attr:`focus` and will be removed in\n 2.0.0.\n '''\n\n keyboard_suggestions = BooleanProperty(True)\n '''If True provides auto suggestions on top of keyboard.\n This will only work if :attr:`input_type` is set to `text`, `url`, `mail` or\n `address`.\n\n .. versionadded:: 2.1.0\n\n :attr:`keyboard_suggestions` is a :class:`~kivy.properties.BooleanProperty`\n and defaults to True\n '''\n\n def _set_on_focus_next(self, instance, value):\n ''' If changing code, ensure following code is not infinite loop:\n widget.focus_next = widget\n widget.focus_previous = widget\n widget.focus_previous = widget2\n '''\n next = self._old_focus_next\n if next is value: # prevent infinite loop\n return\n\n if isinstance(next, FocusBehavior):\n next.focus_previous = None\n self._old_focus_next = value\n if value is None or value is StopIteration:\n return\n if not isinstance(value, FocusBehavior):\n raise ValueError('focus_next accepts only objects based on'\n ' FocusBehavior, or the `StopIteration` class.')\n value.focus_previous = self\n\n focus_next = ObjectProperty(None, allownone=True)\n '''The :class:`FocusBehavior` instance to acquire focus when\n tab is pressed and this instance has focus, if not `None` or\n `StopIteration`.\n\n When tab is pressed, focus cycles through all the :class:`FocusBehavior`\n widgets that are linked through :attr:`focus_next` and are focusable. If\n :attr:`focus_next` is `None`, it instead walks the children lists to find\n the next focusable widget. Finally, if :attr:`focus_next` is\n the `StopIteration` class, focus won't move forward, but end here.\n\n .. note:\n\n Setting :attr:`focus_next` automatically sets :attr:`focus_previous`\n of the other instance to point to this instance, if not None or\n `StopIteration`. Similarly, if it wasn't None or `StopIteration`, it\n also sets the :attr:`focus_previous` property of the instance\n previously in :attr:`focus_next` to `None`. Therefore, it is only\n required to set one of the :attr:`focus_previous` or\n :attr:`focus_next` links since the other side will be set\n automatically.\n\n :attr:`focus_next` is an :class:`~kivy.properties.ObjectProperty` and\n defaults to `None`.\n '''\n\n def _set_on_focus_previous(self, instance, value):\n prev = self._old_focus_previous\n if prev is value:\n return\n\n if isinstance(prev, FocusBehavior):\n prev.focus_next = None\n self._old_focus_previous = value\n if value is None or value is StopIteration:\n return\n if not isinstance(value, FocusBehavior):\n raise ValueError('focus_previous accepts only objects based'\n 'on FocusBehavior, or the `StopIteration` class.')\n value.focus_next = self\n\n focus_previous = ObjectProperty(None, allownone=True)\n '''The :class:`FocusBehavior` instance to acquire focus when\n shift+tab is pressed on this instance, if not None or `StopIteration`.\n\n When shift+tab is pressed, focus cycles through all the\n :class:`FocusBehavior` widgets that are linked through\n :attr:`focus_previous` and are focusable. If :attr:`focus_previous` is\n `None`, it instead walks the children tree to find the\n previous focusable widget. Finally, if :attr:`focus_previous` is the\n `StopIteration` class, focus won't move backward, but end here.\n\n .. note:\n\n Setting :attr:`focus_previous` automatically sets :attr:`focus_next`\n of the other instance to point to this instance, if not None or\n `StopIteration`. Similarly, if it wasn't None or `StopIteration`, it\n also sets the :attr:`focus_next` property of the instance previously in\n :attr:`focus_previous` to `None`. Therefore, it is only required\n to set one of the :attr:`focus_previous` or :attr:`focus_next`\n links since the other side will be set automatically.\n\n :attr:`focus_previous` is an :class:`~kivy.properties.ObjectProperty` and\n defaults to `None`.\n '''\n\n keyboard_mode = OptionProperty('auto', options=('auto', 'managed'))\n '''Determines how the keyboard visibility should be managed. 'auto' will\n result in the standard behaviour of showing/hiding on focus. 'managed'\n requires setting the keyboard visibility manually, or calling the helper\n functions :meth:`show_keyboard` and :meth:`hide_keyboard`.\n\n :attr:`keyboard_mode` is an :class:`~kivy.properties.OptionsProperty` and\n defaults to 'auto'. Can be one of 'auto' or 'managed'.\n '''\n\n input_type = OptionProperty('text', options=('text', 'number', 'url',\n 'mail', 'datetime', 'tel',\n 'address'))\n '''The kind of input keyboard to request.\n\n .. versionadded:: 1.8.0\n\n :attr:`input_type` is an :class:`~kivy.properties.OptionsProperty` and\n defaults to 'text'. Can be one of 'text', 'number', 'url', 'mail',\n 'datetime', 'tel' or 'address'.\n '''\n\n unfocus_on_touch = BooleanProperty(_keyboard_mode not in\n ('multi', 'systemandmulti'))\n '''Whether a instance should lose focus when clicked outside the instance.\n\n When a user clicks on a widget that is focus aware and shares the same\n keyboard as this widget (which in the case of only one keyboard, are\n all focus aware widgets), then as the other widgets gains focus, this\n widget loses focus. In addition to that, if this property is `True`,\n clicking on any widget other than this widget, will remove focus form this\n widget.\n\n :attr:`unfocus_on_touch` is a :class:`~kivy.properties.BooleanProperty` and\n defaults to `False` if the `keyboard_mode` in :attr:`~kivy.config.Config`\n is `'multi'` or `'systemandmulti'`, otherwise it defaults to `True`.\n '''\n\n def __init__(self, **kwargs):\n self._old_focus_next = None\n self._old_focus_previous = None\n super(FocusBehavior, self).__init__(**kwargs)\n\n self._keyboard_mode = _keyboard_mode\n fbind = self.fbind\n fbind('focus', self._on_focus)\n fbind('disabled', self._on_focusable)\n fbind('is_focusable', self._on_focusable)\n fbind('focus_next', self._set_on_focus_next)\n fbind('focus_previous', self._set_on_focus_previous)\n\n def _on_focusable(self, instance, value):\n if self.disabled or not self.is_focusable:\n self.focus = False\n\n def _on_focus(self, instance, value, *largs):\n if self.keyboard_mode == 'auto':\n if value:\n self._bind_keyboard()\n else:\n self._unbind_keyboard()\n\n def _ensure_keyboard(self):\n if self._keyboard is None:\n self._requested_keyboard = True\n keyboard = self._keyboard = EventLoop.window.request_keyboard(\n self._keyboard_released,\n self,\n input_type=self.input_type,\n keyboard_suggestions=self.keyboard_suggestions,\n )\n keyboards = FocusBehavior._keyboards\n if keyboard not in keyboards:\n keyboards[keyboard] = None\n\n def _bind_keyboard(self):\n self._ensure_keyboard()\n keyboard = self._keyboard\n\n if not keyboard or self.disabled or not self.is_focusable:\n self.focus = False\n return\n keyboards = FocusBehavior._keyboards\n old_focus = keyboards[keyboard] # keyboard should be in dict\n if old_focus:\n old_focus.focus = False\n # keyboard shouldn't have been released here, see keyboard warning\n keyboards[keyboard] = self\n keyboard.bind(on_key_down=self.keyboard_on_key_down,\n on_key_up=self.keyboard_on_key_up,\n on_textinput=self.keyboard_on_textinput)\n\n def _unbind_keyboard(self):\n keyboard = self._keyboard\n if keyboard:\n keyboard.unbind(on_key_down=self.keyboard_on_key_down,\n on_key_up=self.keyboard_on_key_up,\n on_textinput=self.keyboard_on_textinput)\n if self._requested_keyboard:\n keyboard.release()\n self._keyboard = None\n self._requested_keyboard = False\n del FocusBehavior._keyboards[keyboard]\n else:\n FocusBehavior._keyboards[keyboard] = None\n\n def keyboard_on_textinput(self, window, text):\n pass\n\n def _keyboard_released(self):\n self.focus = False\n\n def on_touch_down(self, touch):\n if not self.collide_point(*touch.pos):\n return\n if (not self.disabled and self.is_focusable and\n ('button' not in touch.profile or\n not touch.button.startswith('scroll'))):\n self.focus = True\n FocusBehavior.ignored_touch.append(touch)\n return super(FocusBehavior, self).on_touch_down(touch)\n\n @staticmethod\n def _handle_post_on_touch_up(touch):\n ''' Called by window after each touch has finished.\n '''\n touches = FocusBehavior.ignored_touch\n if touch in touches:\n touches.remove(touch)\n return\n if 'button' in touch.profile and touch.button in\\\n ('scrollup', 'scrolldown', 'scrollleft', 'scrollright'):\n return\n for focusable in list(FocusBehavior._keyboards.values()):\n if focusable is None or not focusable.unfocus_on_touch:\n continue\n focusable.focus = False\n\n def _get_focus_next(self, focus_dir):\n current = self\n walk_tree = 'walk' if focus_dir == 'focus_next' else 'walk_reverse'\n\n while 1:\n # if we hit a focusable, walk through focus_xxx\n while getattr(current, focus_dir) is not None:\n current = getattr(current, focus_dir)\n if current is self or current is StopIteration:\n return None # make sure we don't loop forever\n if current.is_focusable and not current.disabled:\n return current\n\n # hit unfocusable, walk widget tree\n itr = getattr(current, walk_tree)(loopback=True)\n if focus_dir == 'focus_next':\n next(itr) # current is returned first when walking forward\n for current in itr:\n if isinstance(current, FocusBehavior):\n break\n # why did we stop\n if isinstance(current, FocusBehavior):\n if current is self:\n return None\n if current.is_focusable and not current.disabled:\n return current\n else:\n return None\n\n def get_focus_next(self):\n '''Returns the next focusable widget using either :attr:`focus_next`\n or the :attr:`children` similar to the order when tabbing forwards\n with the ``tab`` key.\n '''\n return self._get_focus_next('focus_next')\n\n def get_focus_previous(self):\n '''Returns the previous focusable widget using either\n :attr:`focus_previous` or the :attr:`children` similar to the\n order when ``tab`` + ``shift`` key are triggered together.\n '''\n return self._get_focus_next('focus_previous')\n\n def keyboard_on_key_down(self, window, keycode, text, modifiers):\n '''The method bound to the keyboard when the instance has focus.\n\n When the instance becomes focused, this method is bound to the\n keyboard and will be called for every input press. The parameters are\n the same as :meth:`kivy.core.window.WindowBase.on_key_down`.\n\n When overwriting the method in the derived widget, super should be\n called to enable tab cycling. If the derived widget wishes to use tab\n for its own purposes, it can call super after it has processed the\n character (if it does not wish to consume the tab).\n\n Similar to other keyboard functions, it should return True if the\n key was consumed.\n '''\n if keycode[1] == 'tab': # deal with cycle\n if ['shift'] == modifiers:\n next = self.get_focus_previous()\n else:\n next = self.get_focus_next()\n if next:\n self.focus = False\n\n next.focus = True\n\n return True\n return False\n\n def keyboard_on_key_up(self, window, keycode):\n '''The method bound to the keyboard when the instance has focus.\n\n When the instance becomes focused, this method is bound to the\n keyboard and will be called for every input release. The parameters are\n the same as :meth:`kivy.core.window.WindowBase.on_key_up`.\n\n When overwriting the method in the derived widget, super should be\n called to enable de-focusing on escape. If the derived widget wishes\n to use escape for its own purposes, it can call super after it has\n processed the character (if it does not wish to consume the escape).\n\n See :meth:`keyboard_on_key_down`\n '''\n if keycode[1] == 'escape':\n self.focus = False\n return True\n return False\n\n def show_keyboard(self):\n '''\n Convenience function to show the keyboard in managed mode.\n '''\n if self.keyboard_mode == 'managed':\n self._bind_keyboard()\n\n def hide_keyboard(self):\n '''\n Convenience function to hide the keyboard in managed mode.\n '''\n if self.keyboard_mode == 'managed':\n self._unbind_keyboard()\n","path":"kivy/uix/behaviors/focus.py"}],"string":"[\n {\n \"content\": \"'''\\nFocus Behavior\\n==============\\n\\nThe :class:`~kivy.uix.behaviors.FocusBehavior`\\n`mixin <https://en.wikipedia.org/wiki/Mixin>`_ class provides\\nkeyboard focus behavior. When combined with other\\nFocusBehavior widgets it allows one to cycle focus among them by pressing\\ntab. In addition, upon gaining focus, the instance will automatically\\nreceive keyboard input.\\n\\nFocus, very different from selection, is intimately tied with the keyboard;\\neach keyboard can focus on zero or one widgets, and each widget can only\\nhave the focus of one keyboard. However, multiple keyboards can focus\\nsimultaneously on different widgets. When escape is hit, the widget having\\nthe focus of that keyboard will de-focus.\\n\\nManaging focus\\n--------------\\n\\nIn essence, focus is implemented as a doubly linked list, where each\\nnode holds a (weak) reference to the instance before it and after it,\\nas visualized when cycling through the nodes using tab (forward) or\\nshift+tab (backward). If a previous or next widget is not specified,\\n:attr:`focus_next` and :attr:`focus_previous` defaults to `None`. This\\nmeans that the :attr:`~kivy.uix.widget.Widget.children` list and\\n:attr:`parents <kivy.uix.widget.Widget.parent>` are\\nwalked to find the next focusable widget, unless :attr:`focus_next` or\\n:attr:`focus_previous` is set to the `StopIteration` class, in which case\\nfocus stops there.\\n\\nFor example, to cycle focus between :class:`~kivy.uix.button.Button`\\nelements of a :class:`~kivy.uix.gridlayout.GridLayout`::\\n\\n class FocusButton(FocusBehavior, Button):\\n pass\\n\\n grid = GridLayout(cols=4)\\n for i in range(40):\\n grid.add_widget(FocusButton(text=str(i)))\\n # clicking on a widget will activate focus, and tab can now be used\\n # to cycle through\\n\\nWhen using a software keyboard, typical on mobile and touch devices, the\\nkeyboard display behavior is determined by the\\n:attr:`~kivy.core.window.WindowBase.softinput_mode` property. You can use\\nthis property to ensure the focused widget is not covered or obscured by the\\nkeyboard.\\n\\nInitializing focus\\n------------------\\n\\nWidgets needs to be visible before they can receive the focus. This means that\\nsetting their *focus* property to True before they are visible will have no\\neffect. To initialize focus, you can use the 'on_parent' event::\\n\\n from kivy.app import App\\n from kivy.uix.textinput import TextInput\\n\\n class MyTextInput(TextInput):\\n def on_parent(self, widget, parent):\\n self.focus = True\\n\\n class SampleApp(App):\\n def build(self):\\n return MyTextInput()\\n\\n SampleApp().run()\\n\\nIf you are using a :class:`~kivy.uix.popup`, you can use the 'on_open' event.\\n\\nFor an overview of behaviors, please refer to the :mod:`~kivy.uix.behaviors`\\ndocumentation.\\n\\n.. warning::\\n\\n This code is still experimental, and its API is subject to change in a\\n future version.\\n'''\\n\\n__all__ = ('FocusBehavior', )\\n\\nfrom kivy.properties import OptionProperty, ObjectProperty, BooleanProperty, \\\\\\n AliasProperty\\nfrom kivy.config import Config\\nfrom kivy.base import EventLoop\\n\\n# When we are generating documentation, Config doesn't exist\\n_is_desktop = False\\n_keyboard_mode = 'system'\\nif Config:\\n _is_desktop = Config.getboolean('kivy', 'desktop')\\n _keyboard_mode = Config.get('kivy', 'keyboard_mode')\\n\\n\\nclass FocusBehavior(object):\\n '''Provides keyboard focus behavior. When combined with other\\n FocusBehavior widgets it allows one to cycle focus among them by pressing\\n tab. Please see the\\n :mod:`focus behavior module documentation <kivy.uix.behaviors.focus>`\\n for more information.\\n\\n .. versionadded:: 1.9.0\\n\\n '''\\n\\n _requested_keyboard = False\\n _keyboard = ObjectProperty(None, allownone=True)\\n _keyboards = {}\\n\\n ignored_touch = []\\n '''A list of touches that should not be used to defocus. After on_touch_up,\\n every touch that is not in :attr:`ignored_touch` will defocus all the\\n focused widgets if the config keyboard mode is not multi. Touches on\\n focusable widgets that were used to focus are automatically added here.\\n\\n Example usage::\\n\\n class Unfocusable(Widget):\\n\\n def on_touch_down(self, touch):\\n if self.collide_point(*touch.pos):\\n FocusBehavior.ignored_touch.append(touch)\\n\\n Notice that you need to access this as a class, not an instance variable.\\n '''\\n\\n def _set_keyboard(self, value):\\n focus = self.focus\\n keyboard = self._keyboard\\n keyboards = FocusBehavior._keyboards\\n if keyboard:\\n self.focus = False # this'll unbind\\n if self._keyboard: # remove assigned keyboard from dict\\n del keyboards[keyboard]\\n if value and value not in keyboards:\\n keyboards[value] = None\\n self._keyboard = value\\n self.focus = focus\\n\\n def _get_keyboard(self):\\n return self._keyboard\\n keyboard = AliasProperty(_get_keyboard, _set_keyboard,\\n bind=('_keyboard', ))\\n '''The keyboard to bind to (or bound to the widget) when focused.\\n\\n When None, a keyboard is requested and released whenever the widget comes\\n into and out of focus. If not None, it must be a keyboard, which gets\\n bound and unbound from the widget whenever it's in or out of focus. It is\\n useful only when more than one keyboard is available, so it is recommended\\n to be set to None when only one keyboard is available.\\n\\n If more than one keyboard is available, whenever an instance gets focused\\n a new keyboard will be requested if None. Unless the other instances lose\\n focus (e.g. if tab was used), a new keyboard will appear. When this is\\n undesired, the keyboard property can be used. For example, if there are\\n two users with two keyboards, then each keyboard can be assigned to\\n different groups of instances of FocusBehavior, ensuring that within\\n each group, only one FocusBehavior will have focus, and will receive input\\n from the correct keyboard. See `keyboard_mode` in :mod:`~kivy.config` for\\n more information on the keyboard modes.\\n\\n **Keyboard and focus behavior**\\n\\n When using the keyboard, there are some important default behaviors you\\n should keep in mind.\\n\\n * When Config's `keyboard_mode` is multi, each new touch is considered\\n a touch by a different user and will set the focus (if clicked on a\\n focusable) with a new keyboard. Already focused elements will not lose\\n their focus (even if an unfocusable widget is touched).\\n\\n * If the keyboard property is set, that keyboard will be used when the\\n instance gets focused. If widgets with different keyboards are linked\\n through :attr:`focus_next` and :attr:`focus_previous`, then as they are\\n tabbed through, different keyboards will become active. Therefore,\\n typically it's undesirable to link instances which are assigned\\n different keyboards.\\n\\n * When a widget has focus, setting its keyboard to None will remove its\\n keyboard, but the widget will then immediately try to get\\n another keyboard. In order to remove its keyboard, rather set its\\n :attr:`focus` to False.\\n\\n * When using a software keyboard, typical on mobile and touch devices, the\\n keyboard display behavior is determined by the\\n :attr:`~kivy.core.window.WindowBase.softinput_mode` property. You can use\\n this property to ensure the focused widget is not covered or obscured.\\n\\n :attr:`keyboard` is an :class:`~kivy.properties.AliasProperty` and defaults\\n to None.\\n\\n .. warning:\\n\\n When assigning a keyboard, the keyboard must not be released while\\n it is still assigned to an instance. Similarly, the keyboard created\\n by the instance on focus and assigned to :attr:`keyboard` if None,\\n will be released by the instance when the instance loses focus.\\n Therefore, it is not safe to assign this keyboard to another instance's\\n :attr:`keyboard`.\\n '''\\n\\n is_focusable = BooleanProperty(_is_desktop)\\n '''Whether the instance can become focused. If focused, it'll lose focus\\n when set to False.\\n\\n :attr:`is_focusable` is a :class:`~kivy.properties.BooleanProperty` and\\n defaults to True on a desktop (i.e. `desktop` is True in\\n :mod:`~kivy.config`), False otherwise.\\n '''\\n\\n focus = BooleanProperty(False)\\n '''Whether the instance currently has focus.\\n\\n Setting it to True will bind to and/or request the keyboard, and input\\n will be forwarded to the instance. Setting it to False will unbind\\n and/or release the keyboard. For a given keyboard, only one widget can\\n have its focus, so focusing one will automatically unfocus the other\\n instance holding its focus.\\n\\n When using a software keyboard, please refer to the\\n :attr:`~kivy.core.window.WindowBase.softinput_mode` property to determine\\n how the keyboard display is handled.\\n\\n :attr:`focus` is a :class:`~kivy.properties.BooleanProperty` and defaults\\n to False.\\n '''\\n\\n focused = focus\\n '''An alias of :attr:`focus`.\\n\\n :attr:`focused` is a :class:`~kivy.properties.BooleanProperty` and defaults\\n to False.\\n\\n .. warning::\\n :attr:`focused` is an alias of :attr:`focus` and will be removed in\\n 2.0.0.\\n '''\\n\\n keyboard_suggestions = BooleanProperty(True)\\n '''If True provides auto suggestions on top of keyboard.\\n This will only work if :attr:`input_type` is set to `text`, `url`, `mail` or\\n `address`.\\n\\n .. versionadded:: 2.1.0\\n\\n :attr:`keyboard_suggestions` is a :class:`~kivy.properties.BooleanProperty`\\n and defaults to True\\n '''\\n\\n def _set_on_focus_next(self, instance, value):\\n ''' If changing code, ensure following code is not infinite loop:\\n widget.focus_next = widget\\n widget.focus_previous = widget\\n widget.focus_previous = widget2\\n '''\\n next = self._old_focus_next\\n if next is value: # prevent infinite loop\\n return\\n\\n if isinstance(next, FocusBehavior):\\n next.focus_previous = None\\n self._old_focus_next = value\\n if value is None or value is StopIteration:\\n return\\n if not isinstance(value, FocusBehavior):\\n raise ValueError('focus_next accepts only objects based on'\\n ' FocusBehavior, or the `StopIteration` class.')\\n value.focus_previous = self\\n\\n focus_next = ObjectProperty(None, allownone=True)\\n '''The :class:`FocusBehavior` instance to acquire focus when\\n tab is pressed and this instance has focus, if not `None` or\\n `StopIteration`.\\n\\n When tab is pressed, focus cycles through all the :class:`FocusBehavior`\\n widgets that are linked through :attr:`focus_next` and are focusable. If\\n :attr:`focus_next` is `None`, it instead walks the children lists to find\\n the next focusable widget. Finally, if :attr:`focus_next` is\\n the `StopIteration` class, focus won't move forward, but end here.\\n\\n .. note:\\n\\n Setting :attr:`focus_next` automatically sets :attr:`focus_previous`\\n of the other instance to point to this instance, if not None or\\n `StopIteration`. Similarly, if it wasn't None or `StopIteration`, it\\n also sets the :attr:`focus_previous` property of the instance\\n previously in :attr:`focus_next` to `None`. Therefore, it is only\\n required to set one of the :attr:`focus_previous` or\\n :attr:`focus_next` links since the other side will be set\\n automatically.\\n\\n :attr:`focus_next` is an :class:`~kivy.properties.ObjectProperty` and\\n defaults to `None`.\\n '''\\n\\n def _set_on_focus_previous(self, instance, value):\\n prev = self._old_focus_previous\\n if prev is value:\\n return\\n\\n if isinstance(prev, FocusBehavior):\\n prev.focus_next = None\\n self._old_focus_previous = value\\n if value is None or value is StopIteration:\\n return\\n if not isinstance(value, FocusBehavior):\\n raise ValueError('focus_previous accepts only objects based'\\n 'on FocusBehavior, or the `StopIteration` class.')\\n value.focus_next = self\\n\\n focus_previous = ObjectProperty(None, allownone=True)\\n '''The :class:`FocusBehavior` instance to acquire focus when\\n shift+tab is pressed on this instance, if not None or `StopIteration`.\\n\\n When shift+tab is pressed, focus cycles through all the\\n :class:`FocusBehavior` widgets that are linked through\\n :attr:`focus_previous` and are focusable. If :attr:`focus_previous` is\\n `None`, it instead walks the children tree to find the\\n previous focusable widget. Finally, if :attr:`focus_previous` is the\\n `StopIteration` class, focus won't move backward, but end here.\\n\\n .. note:\\n\\n Setting :attr:`focus_previous` automatically sets :attr:`focus_next`\\n of the other instance to point to this instance, if not None or\\n `StopIteration`. Similarly, if it wasn't None or `StopIteration`, it\\n also sets the :attr:`focus_next` property of the instance previously in\\n :attr:`focus_previous` to `None`. Therefore, it is only required\\n to set one of the :attr:`focus_previous` or :attr:`focus_next`\\n links since the other side will be set automatically.\\n\\n :attr:`focus_previous` is an :class:`~kivy.properties.ObjectProperty` and\\n defaults to `None`.\\n '''\\n\\n keyboard_mode = OptionProperty('auto', options=('auto', 'managed'))\\n '''Determines how the keyboard visibility should be managed. 'auto' will\\n result in the standard behaviour of showing/hiding on focus. 'managed'\\n requires setting the keyboard visibility manually, or calling the helper\\n functions :meth:`show_keyboard` and :meth:`hide_keyboard`.\\n\\n :attr:`keyboard_mode` is an :class:`~kivy.properties.OptionsProperty` and\\n defaults to 'auto'. Can be one of 'auto' or 'managed'.\\n '''\\n\\n input_type = OptionProperty('text', options=('text', 'number', 'url',\\n 'mail', 'datetime', 'tel',\\n 'address'))\\n '''The kind of input keyboard to request.\\n\\n .. versionadded:: 1.8.0\\n\\n :attr:`input_type` is an :class:`~kivy.properties.OptionsProperty` and\\n defaults to 'text'. Can be one of 'text', 'number', 'url', 'mail',\\n 'datetime', 'tel' or 'address'.\\n '''\\n\\n unfocus_on_touch = BooleanProperty(_keyboard_mode not in\\n ('multi', 'systemandmulti'))\\n '''Whether a instance should lose focus when clicked outside the instance.\\n\\n When a user clicks on a widget that is focus aware and shares the same\\n keyboard as this widget (which in the case of only one keyboard, are\\n all focus aware widgets), then as the other widgets gains focus, this\\n widget loses focus. In addition to that, if this property is `True`,\\n clicking on any widget other than this widget, will remove focus form this\\n widget.\\n\\n :attr:`unfocus_on_touch` is a :class:`~kivy.properties.BooleanProperty` and\\n defaults to `False` if the `keyboard_mode` in :attr:`~kivy.config.Config`\\n is `'multi'` or `'systemandmulti'`, otherwise it defaults to `True`.\\n '''\\n\\n def __init__(self, **kwargs):\\n self._old_focus_next = None\\n self._old_focus_previous = None\\n super(FocusBehavior, self).__init__(**kwargs)\\n\\n self._keyboard_mode = _keyboard_mode\\n fbind = self.fbind\\n fbind('focus', self._on_focus)\\n fbind('disabled', self._on_focusable)\\n fbind('is_focusable', self._on_focusable)\\n fbind('focus_next', self._set_on_focus_next)\\n fbind('focus_previous', self._set_on_focus_previous)\\n\\n def _on_focusable(self, instance, value):\\n if self.disabled or not self.is_focusable:\\n self.focus = False\\n\\n def _on_focus(self, instance, value, *largs):\\n if self.keyboard_mode == 'auto':\\n if value:\\n self._bind_keyboard()\\n else:\\n self._unbind_keyboard()\\n\\n def _ensure_keyboard(self):\\n if self._keyboard is None:\\n self._requested_keyboard = True\\n keyboard = self._keyboard = EventLoop.window.request_keyboard(\\n self._keyboard_released,\\n self,\\n input_type=self.input_type,\\n keyboard_suggestions=self.keyboard_suggestions,\\n )\\n keyboards = FocusBehavior._keyboards\\n if keyboard not in keyboards:\\n keyboards[keyboard] = None\\n\\n def _bind_keyboard(self):\\n self._ensure_keyboard()\\n keyboard = self._keyboard\\n\\n if not keyboard or self.disabled or not self.is_focusable:\\n self.focus = False\\n return\\n keyboards = FocusBehavior._keyboards\\n old_focus = keyboards[keyboard] # keyboard should be in dict\\n if old_focus:\\n old_focus.focus = False\\n # keyboard shouldn't have been released here, see keyboard warning\\n keyboards[keyboard] = self\\n keyboard.bind(on_key_down=self.keyboard_on_key_down,\\n on_key_up=self.keyboard_on_key_up,\\n on_textinput=self.keyboard_on_textinput)\\n\\n def _unbind_keyboard(self):\\n keyboard = self._keyboard\\n if keyboard:\\n keyboard.unbind(on_key_down=self.keyboard_on_key_down,\\n on_key_up=self.keyboard_on_key_up,\\n on_textinput=self.keyboard_on_textinput)\\n if self._requested_keyboard:\\n keyboard.release()\\n self._keyboard = None\\n self._requested_keyboard = False\\n del FocusBehavior._keyboards[keyboard]\\n else:\\n FocusBehavior._keyboards[keyboard] = None\\n\\n def keyboard_on_textinput(self, window, text):\\n pass\\n\\n def _keyboard_released(self):\\n self.focus = False\\n\\n def on_touch_down(self, touch):\\n if not self.collide_point(*touch.pos):\\n return\\n if (not self.disabled and self.is_focusable and\\n ('button' not in touch.profile or\\n not touch.button.startswith('scroll'))):\\n self.focus = True\\n FocusBehavior.ignored_touch.append(touch)\\n return super(FocusBehavior, self).on_touch_down(touch)\\n\\n @staticmethod\\n def _handle_post_on_touch_up(touch):\\n ''' Called by window after each touch has finished.\\n '''\\n touches = FocusBehavior.ignored_touch\\n if touch in touches:\\n touches.remove(touch)\\n return\\n if 'button' in touch.profile and touch.button in\\\\\\n ('scrollup', 'scrolldown', 'scrollleft', 'scrollright'):\\n return\\n for focusable in list(FocusBehavior._keyboards.values()):\\n if focusable is None or not focusable.unfocus_on_touch:\\n continue\\n focusable.focus = False\\n\\n def _get_focus_next(self, focus_dir):\\n current = self\\n walk_tree = 'walk' if focus_dir == 'focus_next' else 'walk_reverse'\\n\\n while 1:\\n # if we hit a focusable, walk through focus_xxx\\n while getattr(current, focus_dir) is not None:\\n current = getattr(current, focus_dir)\\n if current is self or current is StopIteration:\\n return None # make sure we don't loop forever\\n if current.is_focusable and not current.disabled:\\n return current\\n\\n # hit unfocusable, walk widget tree\\n itr = getattr(current, walk_tree)(loopback=True)\\n if focus_dir == 'focus_next':\\n next(itr) # current is returned first when walking forward\\n for current in itr:\\n if isinstance(current, FocusBehavior):\\n break\\n # why did we stop\\n if isinstance(current, FocusBehavior):\\n if current is self:\\n return None\\n if current.is_focusable and not current.disabled:\\n return current\\n else:\\n return None\\n\\n def get_focus_next(self):\\n '''Returns the next focusable widget using either :attr:`focus_next`\\n or the :attr:`children` similar to the order when tabbing forwards\\n with the ``tab`` key.\\n '''\\n return self._get_focus_next('focus_next')\\n\\n def get_focus_previous(self):\\n '''Returns the previous focusable widget using either\\n :attr:`focus_previous` or the :attr:`children` similar to the\\n order when ``tab`` + ``shift`` key are triggered together.\\n '''\\n return self._get_focus_next('focus_previous')\\n\\n def keyboard_on_key_down(self, window, keycode, text, modifiers):\\n '''The method bound to the keyboard when the instance has focus.\\n\\n When the instance becomes focused, this method is bound to the\\n keyboard and will be called for every input press. The parameters are\\n the same as :meth:`kivy.core.window.WindowBase.on_key_down`.\\n\\n When overwriting the method in the derived widget, super should be\\n called to enable tab cycling. If the derived widget wishes to use tab\\n for its own purposes, it can call super after it has processed the\\n character (if it does not wish to consume the tab).\\n\\n Similar to other keyboard functions, it should return True if the\\n key was consumed.\\n '''\\n if keycode[1] == 'tab': # deal with cycle\\n if ['shift'] == modifiers:\\n next = self.get_focus_previous()\\n else:\\n next = self.get_focus_next()\\n if next:\\n self.focus = False\\n\\n next.focus = True\\n\\n return True\\n return False\\n\\n def keyboard_on_key_up(self, window, keycode):\\n '''The method bound to the keyboard when the instance has focus.\\n\\n When the instance becomes focused, this method is bound to the\\n keyboard and will be called for every input release. The parameters are\\n the same as :meth:`kivy.core.window.WindowBase.on_key_up`.\\n\\n When overwriting the method in the derived widget, super should be\\n called to enable de-focusing on escape. If the derived widget wishes\\n to use escape for its own purposes, it can call super after it has\\n processed the character (if it does not wish to consume the escape).\\n\\n See :meth:`keyboard_on_key_down`\\n '''\\n if keycode[1] == 'escape':\\n self.focus = False\\n return True\\n return False\\n\\n def show_keyboard(self):\\n '''\\n Convenience function to show the keyboard in managed mode.\\n '''\\n if self.keyboard_mode == 'managed':\\n self._bind_keyboard()\\n\\n def hide_keyboard(self):\\n '''\\n Convenience function to hide the keyboard in managed mode.\\n '''\\n if self.keyboard_mode == 'managed':\\n self._unbind_keyboard()\\n\",\n \"path\": \"kivy/uix/behaviors/focus.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"'''\nFocus Behavior\n==============\n\nThe :class:`~kivy.uix.behaviors.FocusBehavior`\n`mixin <https://en.wikipedia.org/wiki/Mixin>`_ class provides\nkeyboard focus behavior. When combined with other\nFocusBehavior widgets it allows one to cycle focus among them by pressing\ntab. In addition, upon gaining focus, the instance will automatically\nreceive keyboard input.\n\nFocus, very different from selection, is intimately tied with the keyboard;\neach keyboard can focus on zero or one widgets, and each widget can only\nhave the focus of one keyboard. However, multiple keyboards can focus\nsimultaneously on different widgets. When escape is hit, the widget having\nthe focus of that keyboard will de-focus.\n\nManaging focus\n--------------\n\nIn essence, focus is implemented as a doubly linked list, where each\nnode holds a (weak) reference to the instance before it and after it,\nas visualized when cycling through the nodes using tab (forward) or\nshift+tab (backward). If a previous or next widget is not specified,\n:attr:`focus_next` and :attr:`focus_previous` defaults to `None`. This\nmeans that the :attr:`~kivy.uix.widget.Widget.children` list and\n:attr:`parents <kivy.uix.widget.Widget.parent>` are\nwalked to find the next focusable widget, unless :attr:`focus_next` or\n:attr:`focus_previous` is set to the `StopIteration` class, in which case\nfocus stops there.\n\nFor example, to cycle focus between :class:`~kivy.uix.button.Button`\nelements of a :class:`~kivy.uix.gridlayout.GridLayout`::\n\n class FocusButton(FocusBehavior, Button):\n pass\n\n grid = GridLayout(cols=4)\n for i in range(40):\n grid.add_widget(FocusButton(text=str(i)))\n # clicking on a widget will activate focus, and tab can now be used\n # to cycle through\n\nWhen using a software keyboard, typical on mobile and touch devices, the\nkeyboard display behavior is determined by the\n:attr:`~kivy.core.window.WindowBase.softinput_mode` property. You can use\nthis property to ensure the focused widget is not covered or obscured by the\nkeyboard.\n\nInitializing focus\n------------------\n\nWidgets needs to be visible before they can receive the focus. This means that\nsetting their *focus* property to True before they are visible will have no\neffect. To initialize focus, you can use the 'on_parent' event::\n\n from kivy.app import App\n from kivy.uix.textinput import TextInput\n\n class MyTextInput(TextInput):\n def on_parent(self, widget, parent):\n self.focus = True\n\n class SampleApp(App):\n def build(self):\n return MyTextInput()\n\n SampleApp().run()\n\nIf you are using a :class:`~kivy.uix.popup`, you can use the 'on_open' event.\n\nFor an overview of behaviors, please refer to the :mod:`~kivy.uix.behaviors`\ndocumentation.\n\n.. warning::\n\n This code is still experimental, and its API is subject to change in a\n future version.\n'''\n\n__all__ = ('FocusBehavior', )\n\nfrom kivy.properties import OptionProperty, ObjectProperty, BooleanProperty, \\\n AliasProperty\nfrom kivy.config import Config\nfrom kivy.base import EventLoop\n\n# When we are generating documentation, Config doesn't exist\n_is_desktop = False\n_keyboard_mode = 'system'\nif Config:\n _is_desktop = Config.getboolean('kivy', 'desktop')\n _keyboard_mode = Config.get('kivy', 'keyboard_mode')\n\n\nclass FocusBehavior(object):\n '''Provides keyboard focus behavior. When combined with other\n FocusBehavior widgets it allows one to cycle focus among them by pressing\n tab. Please see the\n :mod:`focus behavior module documentation <kivy.uix.behaviors.focus>`\n for more information.\n\n .. versionadded:: 1.9.0\n\n '''\n\n _requested_keyboard = False\n _keyboard = ObjectProperty(None, allownone=True)\n _keyboards = {}\n\n ignored_touch = []\n '''A list of touches that should not be used to defocus. After on_touch_up,\n every touch that is not in :attr:`ignored_touch` will defocus all the\n focused widgets if the config keyboard mode is not multi. Touches on\n focusable widgets that were used to focus are automatically added here.\n\n Example usage::\n\n class Unfocusable(Widget):\n\n def on_touch_down(self, touch):\n if self.collide_point(*touch.pos):\n FocusBehavior.ignored_touch.append(touch)\n\n Notice that you need to access this as a class, not an instance variable.\n '''\n\n def _set_keyboard(self, value):\n focus = self.focus\n keyboard = self._keyboard\n keyboards = FocusBehavior._keyboards\n if keyboard:\n self.focus = False # this'll unbind\n if self._keyboard: # remove assigned keyboard from dict\n del keyboards[keyboard]\n if value and value not in keyboards:\n keyboards[value] = None\n self._keyboard = value\n self.focus = focus\n\n def _get_keyboard(self):\n return self._keyboard\n keyboard = AliasProperty(_get_keyboard, _set_keyboard,\n bind=('_keyboard', ))\n '''The keyboard to bind to (or bound to the widget) when focused.\n\n When None, a keyboard is requested and released whenever the widget comes\n into and out of focus. If not None, it must be a keyboard, which gets\n bound and unbound from the widget whenever it's in or out of focus. It is\n useful only when more than one keyboard is available, so it is recommended\n to be set to None when only one keyboard is available.\n\n If more than one keyboard is available, whenever an instance gets focused\n a new keyboard will be requested if None. Unless the other instances lose\n focus (e.g. if tab was used), a new keyboard will appear. When this is\n undesired, the keyboard property can be used. For example, if there are\n two users with two keyboards, then each keyboard can be assigned to\n different groups of instances of FocusBehavior, ensuring that within\n each group, only one FocusBehavior will have focus, and will receive input\n from the correct keyboard. See `keyboard_mode` in :mod:`~kivy.config` for\n more information on the keyboard modes.\n\n **Keyboard and focus behavior**\n\n When using the keyboard, there are some important default behaviors you\n should keep in mind.\n\n * When Config's `keyboard_mode` is multi, each new touch is considered\n a touch by a different user and will set the focus (if clicked on a\n focusable) with a new keyboard. Already focused elements will not lose\n their focus (even if an unfocusable widget is touched).\n\n * If the keyboard property is set, that keyboard will be used when the\n instance gets focused. If widgets with different keyboards are linked\n through :attr:`focus_next` and :attr:`focus_previous`, then as they are\n tabbed through, different keyboards will become active. Therefore,\n typically it's undesirable to link instances which are assigned\n different keyboards.\n\n * When a widget has focus, setting its keyboard to None will remove its\n keyboard, but the widget will then immediately try to get\n another keyboard. In order to remove its keyboard, rather set its\n :attr:`focus` to False.\n\n * When using a software keyboard, typical on mobile and touch devices, the\n keyboard display behavior is determined by the\n :attr:`~kivy.core.window.WindowBase.softinput_mode` property. You can use\n this property to ensure the focused widget is not covered or obscured.\n\n :attr:`keyboard` is an :class:`~kivy.properties.AliasProperty` and defaults\n to None.\n\n .. warning:\n\n When assigning a keyboard, the keyboard must not be released while\n it is still assigned to an instance. Similarly, the keyboard created\n by the instance on focus and assigned to :attr:`keyboard` if None,\n will be released by the instance when the instance loses focus.\n Therefore, it is not safe to assign this keyboard to another instance's\n :attr:`keyboard`.\n '''\n\n is_focusable = BooleanProperty(_is_desktop)\n '''Whether the instance can become focused. If focused, it'll lose focus\n when set to False.\n\n :attr:`is_focusable` is a :class:`~kivy.properties.BooleanProperty` and\n defaults to True on a desktop (i.e. `desktop` is True in\n :mod:`~kivy.config`), False otherwise.\n '''\n\n focus = BooleanProperty(False)\n '''Whether the instance currently has focus.\n\n Setting it to True will bind to and/or request the keyboard, and input\n will be forwarded to the instance. Setting it to False will unbind\n and/or release the keyboard. For a given keyboard, only one widget can\n have its focus, so focusing one will automatically unfocus the other\n instance holding its focus.\n\n When using a software keyboard, please refer to the\n :attr:`~kivy.core.window.WindowBase.softinput_mode` property to determine\n how the keyboard display is handled.\n\n :attr:`focus` is a :class:`~kivy.properties.BooleanProperty` and defaults\n to False.\n '''\n\n focused = focus\n '''An alias of :attr:`focus`.\n\n :attr:`focused` is a :class:`~kivy.properties.BooleanProperty` and defaults\n to False.\n\n .. warning::\n :attr:`focused` is an alias of :attr:`focus` and will be removed in\n 2.0.0.\n '''\n\n keyboard_suggestions = BooleanProperty(True)\n '''If True provides auto suggestions on top of keyboard.\n This will only work if :attr:`input_type` is set to `text`, `url`, `mail` or\n `address`.\n\n .. versionadded:: 2.1.0\n\n :attr:`keyboard_suggestions` is a :class:`~kivy.properties.BooleanProperty`\n and defaults to True\n '''\n\n def _set_on_focus_next(self, instance, value):\n ''' If changing code, ensure following code is not infinite loop:\n widget.focus_next = widget\n widget.focus_previous = widget\n widget.focus_previous = widget2\n '''\n next = self._old_focus_next\n if next is value: # prevent infinite loop\n return\n\n if isinstance(next, FocusBehavior):\n next.focus_previous = None\n self._old_focus_next = value\n if value is None or value is StopIteration:\n return\n if not isinstance(value, FocusBehavior):\n raise ValueError('focus_next accepts only objects based on'\n ' FocusBehavior, or the `StopIteration` class.')\n value.focus_previous = self\n\n focus_next = ObjectProperty(None, allownone=True)\n '''The :class:`FocusBehavior` instance to acquire focus when\n tab is pressed and this instance has focus, if not `None` or\n `StopIteration`.\n\n When tab is pressed, focus cycles through all the :class:`FocusBehavior`\n widgets that are linked through :attr:`focus_next` and are focusable. If\n :attr:`focus_next` is `None`, it instead walks the children lists to find\n the next focusable widget. Finally, if :attr:`focus_next` is\n the `StopIteration` class, focus won't move forward, but end here.\n\n .. note:\n\n Setting :attr:`focus_next` automatically sets :attr:`focus_previous`\n of the other instance to point to this instance, if not None or\n `StopIteration`. Similarly, if it wasn't None or `StopIteration`, it\n also sets the :attr:`focus_previous` property of the instance\n previously in :attr:`focus_next` to `None`. Therefore, it is only\n required to set one of the :attr:`focus_previous` or\n :attr:`focus_next` links since the other side will be set\n automatically.\n\n :attr:`focus_next` is an :class:`~kivy.properties.ObjectProperty` and\n defaults to `None`.\n '''\n\n def _set_on_focus_previous(self, instance, value):\n prev = self._old_focus_previous\n if prev is value:\n return\n\n if isinstance(prev, FocusBehavior):\n prev.focus_next = None\n self._old_focus_previous = value\n if value is None or value is StopIteration:\n return\n if not isinstance(value, FocusBehavior):\n raise ValueError('focus_previous accepts only objects based'\n 'on FocusBehavior, or the `StopIteration` class.')\n value.focus_next = self\n\n focus_previous = ObjectProperty(None, allownone=True)\n '''The :class:`FocusBehavior` instance to acquire focus when\n shift+tab is pressed on this instance, if not None or `StopIteration`.\n\n When shift+tab is pressed, focus cycles through all the\n :class:`FocusBehavior` widgets that are linked through\n :attr:`focus_previous` and are focusable. If :attr:`focus_previous` is\n `None`, it instead walks the children tree to find the\n previous focusable widget. Finally, if :attr:`focus_previous` is the\n `StopIteration` class, focus won't move backward, but end here.\n\n .. note:\n\n Setting :attr:`focus_previous` automatically sets :attr:`focus_next`\n of the other instance to point to this instance, if not None or\n `StopIteration`. Similarly, if it wasn't None or `StopIteration`, it\n also sets the :attr:`focus_next` property of the instance previously in\n :attr:`focus_previous` to `None`. Therefore, it is only required\n to set one of the :attr:`focus_previous` or :attr:`focus_next`\n links since the other side will be set automatically.\n\n :attr:`focus_previous` is an :class:`~kivy.properties.ObjectProperty` and\n defaults to `None`.\n '''\n\n keyboard_mode = OptionProperty('auto', options=('auto', 'managed'))\n '''Determines how the keyboard visibility should be managed. 'auto' will\n result in the standard behaviour of showing/hiding on focus. 'managed'\n requires setting the keyboard visibility manually, or calling the helper\n functions :meth:`show_keyboard` and :meth:`hide_keyboard`.\n\n :attr:`keyboard_mode` is an :class:`~kivy.properties.OptionsProperty` and\n defaults to 'auto'. Can be one of 'auto' or 'managed'.\n '''\n\n input_type = OptionProperty('text', options=('text', 'number', 'url',\n 'mail', 'datetime', 'tel',\n 'address'))\n '''The kind of input keyboard to request.\n\n .. versionadded:: 1.8.0\n\n :attr:`input_type` is an :class:`~kivy.properties.OptionsProperty` and\n defaults to 'text'. Can be one of 'text', 'number', 'url', 'mail',\n 'datetime', 'tel' or 'address'.\n '''\n\n unfocus_on_touch = BooleanProperty(_keyboard_mode not in\n ('multi', 'systemandmulti'))\n '''Whether a instance should lose focus when clicked outside the instance.\n\n When a user clicks on a widget that is focus aware and shares the same\n keyboard as this widget (which in the case of only one keyboard, are\n all focus aware widgets), then as the other widgets gains focus, this\n widget loses focus. In addition to that, if this property is `True`,\n clicking on any widget other than this widget, will remove focus form this\n widget.\n\n :attr:`unfocus_on_touch` is a :class:`~kivy.properties.BooleanProperty` and\n defaults to `False` if the `keyboard_mode` in :attr:`~kivy.config.Config`\n is `'multi'` or `'systemandmulti'`, otherwise it defaults to `True`.\n '''\n\n def __init__(self, **kwargs):\n self._old_focus_next = None\n self._old_focus_previous = None\n super(FocusBehavior, self).__init__(**kwargs)\n\n self._keyboard_mode = _keyboard_mode\n fbind = self.fbind\n fbind('focus', self._on_focus)\n fbind('disabled', self._on_focusable)\n fbind('is_focusable', self._on_focusable)\n fbind('focus_next', self._set_on_focus_next)\n fbind('focus_previous', self._set_on_focus_previous)\n\n def _on_focusable(self, instance, value):\n if self.disabled or not self.is_focusable:\n self.focus = False\n\n def _on_focus(self, instance, value, *largs):\n if self.keyboard_mode == 'auto':\n if value:\n self._bind_keyboard()\n else:\n self._unbind_keyboard()\n\n def _ensure_keyboard(self):\n if self._keyboard is None:\n self._requested_keyboard = True\n keyboard = self._keyboard = EventLoop.window.request_keyboard(\n self._keyboard_released,\n self,\n input_type=self.input_type,\n keyboard_suggestions=self.keyboard_suggestions,\n )\n keyboards = FocusBehavior._keyboards\n if keyboard not in keyboards:\n keyboards[keyboard] = None\n\n def _bind_keyboard(self):\n self._ensure_keyboard()\n keyboard = self._keyboard\n\n if not keyboard or self.disabled or not self.is_focusable:\n self.focus = False\n return\n keyboards = FocusBehavior._keyboards\n old_focus = keyboards[keyboard] # keyboard should be in dict\n if old_focus:\n old_focus.focus = False\n # keyboard shouldn't have been released here, see keyboard warning\n keyboards[keyboard] = self\n keyboard.bind(on_key_down=self.keyboard_on_key_down,\n on_key_up=self.keyboard_on_key_up,\n on_textinput=self.keyboard_on_textinput)\n\n def _unbind_keyboard(self):\n keyboard = self._keyboard\n if keyboard:\n keyboard.unbind(on_key_down=self.keyboard_on_key_down,\n on_key_up=self.keyboard_on_key_up,\n on_textinput=self.keyboard_on_textinput)\n if self._requested_keyboard:\n keyboard.release()\n self._keyboard = None\n self._requested_keyboard = False\n del FocusBehavior._keyboards[keyboard]\n else:\n FocusBehavior._keyboards[keyboard] = None\n\n def keyboard_on_textinput(self, window, text):\n pass\n\n def _keyboard_released(self):\n self.focus = False\n\n def on_touch_down(self, touch):\n if not self.collide_point(*touch.pos):\n return\n if (not self.disabled and self.is_focusable and\n ('button' not in touch.profile or\n not touch.button.startswith('scroll'))):\n self.focus = True\n FocusBehavior.ignored_touch.append(touch)\n return super(FocusBehavior, self).on_touch_down(touch)\n\n @staticmethod\n def _handle_post_on_touch_up(touch):\n ''' Called by window after each touch has finished.\n '''\n touches = FocusBehavior.ignored_touch\n if touch in touches:\n touches.remove(touch)\n return\n if 'button' in touch.profile and touch.button in\\\n ('scrollup', 'scrolldown', 'scrollleft', 'scrollright'):\n return\n for focusable in list(FocusBehavior._keyboards.values()):\n if focusable is None or not focusable.unfocus_on_touch:\n continue\n focusable.focus = False\n\n def _get_focus_next(self, focus_dir):\n current = self\n walk_tree = 'walk' if focus_dir == 'focus_next' else 'walk_reverse'\n\n while 1:\n # if we hit a focusable, walk through focus_xxx\n while getattr(current, focus_dir) is not None:\n current = getattr(current, focus_dir)\n if current is self or current is StopIteration:\n return None # make sure we don't loop forever\n if current.is_focusable and not current.disabled:\n return current\n\n # hit unfocusable, walk widget tree\n itr = getattr(current, walk_tree)(loopback=True)\n if focus_dir == 'focus_next':\n next(itr) # current is returned first when walking forward\n for current in itr:\n if isinstance(current, FocusBehavior):\n break\n # why did we stop\n if isinstance(current, FocusBehavior):\n if current is self:\n return None\n if current.is_focusable and not current.disabled:\n return current\n else:\n return None\n\n def get_focus_next(self):\n '''Returns the next focusable widget using either :attr:`focus_next`\n or the :attr:`children` similar to the order when tabbing forwards\n with the ``tab`` key.\n '''\n return self._get_focus_next('focus_next')\n\n def get_focus_previous(self):\n '''Returns the previous focusable widget using either\n :attr:`focus_previous` or the :attr:`children` similar to the\n order when ``tab`` + ``shift`` key are triggered together.\n '''\n return self._get_focus_next('focus_previous')\n\n def keyboard_on_key_down(self, window, keycode, text, modifiers):\n '''The method bound to the keyboard when the instance has focus.\n\n When the instance becomes focused, this method is bound to the\n keyboard and will be called for every input press. The parameters are\n the same as :meth:`kivy.core.window.WindowBase.on_key_down`.\n\n When overwriting the method in the derived widget, super should be\n called to enable tab cycling. If the derived widget wishes to use tab\n for its own purposes, it can call super after it has processed the\n character (if it does not wish to consume the tab).\n\n Similar to other keyboard functions, it should return True if the\n key was consumed.\n '''\n if keycode[1] == 'tab': # deal with cycle\n if {'ctrl', 'alt', 'meta', 'super', 'compose'} & modifiers:\n return False\n if 'shift' in modifiers:\n next = self.get_focus_previous()\n else:\n next = self.get_focus_next()\n if next:\n self.focus = False\n\n next.focus = True\n\n return True\n return False\n\n def keyboard_on_key_up(self, window, keycode):\n '''The method bound to the keyboard when the instance has focus.\n\n When the instance becomes focused, this method is bound to the\n keyboard and will be called for every input release. The parameters are\n the same as :meth:`kivy.core.window.WindowBase.on_key_up`.\n\n When overwriting the method in the derived widget, super should be\n called to enable de-focusing on escape. If the derived widget wishes\n to use escape for its own purposes, it can call super after it has\n processed the character (if it does not wish to consume the escape).\n\n See :meth:`keyboard_on_key_down`\n '''\n if keycode[1] == 'escape':\n self.focus = False\n return True\n return False\n\n def show_keyboard(self):\n '''\n Convenience function to show the keyboard in managed mode.\n '''\n if self.keyboard_mode == 'managed':\n self._bind_keyboard()\n\n def hide_keyboard(self):\n '''\n Convenience function to hide the keyboard in managed mode.\n '''\n if self.keyboard_mode == 'managed':\n self._unbind_keyboard()\n","path":"kivy/uix/behaviors/focus.py"}],"string":"[\n {\n \"content\": \"'''\\nFocus Behavior\\n==============\\n\\nThe :class:`~kivy.uix.behaviors.FocusBehavior`\\n`mixin <https://en.wikipedia.org/wiki/Mixin>`_ class provides\\nkeyboard focus behavior. When combined with other\\nFocusBehavior widgets it allows one to cycle focus among them by pressing\\ntab. In addition, upon gaining focus, the instance will automatically\\nreceive keyboard input.\\n\\nFocus, very different from selection, is intimately tied with the keyboard;\\neach keyboard can focus on zero or one widgets, and each widget can only\\nhave the focus of one keyboard. However, multiple keyboards can focus\\nsimultaneously on different widgets. When escape is hit, the widget having\\nthe focus of that keyboard will de-focus.\\n\\nManaging focus\\n--------------\\n\\nIn essence, focus is implemented as a doubly linked list, where each\\nnode holds a (weak) reference to the instance before it and after it,\\nas visualized when cycling through the nodes using tab (forward) or\\nshift+tab (backward). If a previous or next widget is not specified,\\n:attr:`focus_next` and :attr:`focus_previous` defaults to `None`. This\\nmeans that the :attr:`~kivy.uix.widget.Widget.children` list and\\n:attr:`parents <kivy.uix.widget.Widget.parent>` are\\nwalked to find the next focusable widget, unless :attr:`focus_next` or\\n:attr:`focus_previous` is set to the `StopIteration` class, in which case\\nfocus stops there.\\n\\nFor example, to cycle focus between :class:`~kivy.uix.button.Button`\\nelements of a :class:`~kivy.uix.gridlayout.GridLayout`::\\n\\n class FocusButton(FocusBehavior, Button):\\n pass\\n\\n grid = GridLayout(cols=4)\\n for i in range(40):\\n grid.add_widget(FocusButton(text=str(i)))\\n # clicking on a widget will activate focus, and tab can now be used\\n # to cycle through\\n\\nWhen using a software keyboard, typical on mobile and touch devices, the\\nkeyboard display behavior is determined by the\\n:attr:`~kivy.core.window.WindowBase.softinput_mode` property. You can use\\nthis property to ensure the focused widget is not covered or obscured by the\\nkeyboard.\\n\\nInitializing focus\\n------------------\\n\\nWidgets needs to be visible before they can receive the focus. This means that\\nsetting their *focus* property to True before they are visible will have no\\neffect. To initialize focus, you can use the 'on_parent' event::\\n\\n from kivy.app import App\\n from kivy.uix.textinput import TextInput\\n\\n class MyTextInput(TextInput):\\n def on_parent(self, widget, parent):\\n self.focus = True\\n\\n class SampleApp(App):\\n def build(self):\\n return MyTextInput()\\n\\n SampleApp().run()\\n\\nIf you are using a :class:`~kivy.uix.popup`, you can use the 'on_open' event.\\n\\nFor an overview of behaviors, please refer to the :mod:`~kivy.uix.behaviors`\\ndocumentation.\\n\\n.. warning::\\n\\n This code is still experimental, and its API is subject to change in a\\n future version.\\n'''\\n\\n__all__ = ('FocusBehavior', )\\n\\nfrom kivy.properties import OptionProperty, ObjectProperty, BooleanProperty, \\\\\\n AliasProperty\\nfrom kivy.config import Config\\nfrom kivy.base import EventLoop\\n\\n# When we are generating documentation, Config doesn't exist\\n_is_desktop = False\\n_keyboard_mode = 'system'\\nif Config:\\n _is_desktop = Config.getboolean('kivy', 'desktop')\\n _keyboard_mode = Config.get('kivy', 'keyboard_mode')\\n\\n\\nclass FocusBehavior(object):\\n '''Provides keyboard focus behavior. When combined with other\\n FocusBehavior widgets it allows one to cycle focus among them by pressing\\n tab. Please see the\\n :mod:`focus behavior module documentation <kivy.uix.behaviors.focus>`\\n for more information.\\n\\n .. versionadded:: 1.9.0\\n\\n '''\\n\\n _requested_keyboard = False\\n _keyboard = ObjectProperty(None, allownone=True)\\n _keyboards = {}\\n\\n ignored_touch = []\\n '''A list of touches that should not be used to defocus. After on_touch_up,\\n every touch that is not in :attr:`ignored_touch` will defocus all the\\n focused widgets if the config keyboard mode is not multi. Touches on\\n focusable widgets that were used to focus are automatically added here.\\n\\n Example usage::\\n\\n class Unfocusable(Widget):\\n\\n def on_touch_down(self, touch):\\n if self.collide_point(*touch.pos):\\n FocusBehavior.ignored_touch.append(touch)\\n\\n Notice that you need to access this as a class, not an instance variable.\\n '''\\n\\n def _set_keyboard(self, value):\\n focus = self.focus\\n keyboard = self._keyboard\\n keyboards = FocusBehavior._keyboards\\n if keyboard:\\n self.focus = False # this'll unbind\\n if self._keyboard: # remove assigned keyboard from dict\\n del keyboards[keyboard]\\n if value and value not in keyboards:\\n keyboards[value] = None\\n self._keyboard = value\\n self.focus = focus\\n\\n def _get_keyboard(self):\\n return self._keyboard\\n keyboard = AliasProperty(_get_keyboard, _set_keyboard,\\n bind=('_keyboard', ))\\n '''The keyboard to bind to (or bound to the widget) when focused.\\n\\n When None, a keyboard is requested and released whenever the widget comes\\n into and out of focus. If not None, it must be a keyboard, which gets\\n bound and unbound from the widget whenever it's in or out of focus. It is\\n useful only when more than one keyboard is available, so it is recommended\\n to be set to None when only one keyboard is available.\\n\\n If more than one keyboard is available, whenever an instance gets focused\\n a new keyboard will be requested if None. Unless the other instances lose\\n focus (e.g. if tab was used), a new keyboard will appear. When this is\\n undesired, the keyboard property can be used. For example, if there are\\n two users with two keyboards, then each keyboard can be assigned to\\n different groups of instances of FocusBehavior, ensuring that within\\n each group, only one FocusBehavior will have focus, and will receive input\\n from the correct keyboard. See `keyboard_mode` in :mod:`~kivy.config` for\\n more information on the keyboard modes.\\n\\n **Keyboard and focus behavior**\\n\\n When using the keyboard, there are some important default behaviors you\\n should keep in mind.\\n\\n * When Config's `keyboard_mode` is multi, each new touch is considered\\n a touch by a different user and will set the focus (if clicked on a\\n focusable) with a new keyboard. Already focused elements will not lose\\n their focus (even if an unfocusable widget is touched).\\n\\n * If the keyboard property is set, that keyboard will be used when the\\n instance gets focused. If widgets with different keyboards are linked\\n through :attr:`focus_next` and :attr:`focus_previous`, then as they are\\n tabbed through, different keyboards will become active. Therefore,\\n typically it's undesirable to link instances which are assigned\\n different keyboards.\\n\\n * When a widget has focus, setting its keyboard to None will remove its\\n keyboard, but the widget will then immediately try to get\\n another keyboard. In order to remove its keyboard, rather set its\\n :attr:`focus` to False.\\n\\n * When using a software keyboard, typical on mobile and touch devices, the\\n keyboard display behavior is determined by the\\n :attr:`~kivy.core.window.WindowBase.softinput_mode` property. You can use\\n this property to ensure the focused widget is not covered or obscured.\\n\\n :attr:`keyboard` is an :class:`~kivy.properties.AliasProperty` and defaults\\n to None.\\n\\n .. warning:\\n\\n When assigning a keyboard, the keyboard must not be released while\\n it is still assigned to an instance. Similarly, the keyboard created\\n by the instance on focus and assigned to :attr:`keyboard` if None,\\n will be released by the instance when the instance loses focus.\\n Therefore, it is not safe to assign this keyboard to another instance's\\n :attr:`keyboard`.\\n '''\\n\\n is_focusable = BooleanProperty(_is_desktop)\\n '''Whether the instance can become focused. If focused, it'll lose focus\\n when set to False.\\n\\n :attr:`is_focusable` is a :class:`~kivy.properties.BooleanProperty` and\\n defaults to True on a desktop (i.e. `desktop` is True in\\n :mod:`~kivy.config`), False otherwise.\\n '''\\n\\n focus = BooleanProperty(False)\\n '''Whether the instance currently has focus.\\n\\n Setting it to True will bind to and/or request the keyboard, and input\\n will be forwarded to the instance. Setting it to False will unbind\\n and/or release the keyboard. For a given keyboard, only one widget can\\n have its focus, so focusing one will automatically unfocus the other\\n instance holding its focus.\\n\\n When using a software keyboard, please refer to the\\n :attr:`~kivy.core.window.WindowBase.softinput_mode` property to determine\\n how the keyboard display is handled.\\n\\n :attr:`focus` is a :class:`~kivy.properties.BooleanProperty` and defaults\\n to False.\\n '''\\n\\n focused = focus\\n '''An alias of :attr:`focus`.\\n\\n :attr:`focused` is a :class:`~kivy.properties.BooleanProperty` and defaults\\n to False.\\n\\n .. warning::\\n :attr:`focused` is an alias of :attr:`focus` and will be removed in\\n 2.0.0.\\n '''\\n\\n keyboard_suggestions = BooleanProperty(True)\\n '''If True provides auto suggestions on top of keyboard.\\n This will only work if :attr:`input_type` is set to `text`, `url`, `mail` or\\n `address`.\\n\\n .. versionadded:: 2.1.0\\n\\n :attr:`keyboard_suggestions` is a :class:`~kivy.properties.BooleanProperty`\\n and defaults to True\\n '''\\n\\n def _set_on_focus_next(self, instance, value):\\n ''' If changing code, ensure following code is not infinite loop:\\n widget.focus_next = widget\\n widget.focus_previous = widget\\n widget.focus_previous = widget2\\n '''\\n next = self._old_focus_next\\n if next is value: # prevent infinite loop\\n return\\n\\n if isinstance(next, FocusBehavior):\\n next.focus_previous = None\\n self._old_focus_next = value\\n if value is None or value is StopIteration:\\n return\\n if not isinstance(value, FocusBehavior):\\n raise ValueError('focus_next accepts only objects based on'\\n ' FocusBehavior, or the `StopIteration` class.')\\n value.focus_previous = self\\n\\n focus_next = ObjectProperty(None, allownone=True)\\n '''The :class:`FocusBehavior` instance to acquire focus when\\n tab is pressed and this instance has focus, if not `None` or\\n `StopIteration`.\\n\\n When tab is pressed, focus cycles through all the :class:`FocusBehavior`\\n widgets that are linked through :attr:`focus_next` and are focusable. If\\n :attr:`focus_next` is `None`, it instead walks the children lists to find\\n the next focusable widget. Finally, if :attr:`focus_next` is\\n the `StopIteration` class, focus won't move forward, but end here.\\n\\n .. note:\\n\\n Setting :attr:`focus_next` automatically sets :attr:`focus_previous`\\n of the other instance to point to this instance, if not None or\\n `StopIteration`. Similarly, if it wasn't None or `StopIteration`, it\\n also sets the :attr:`focus_previous` property of the instance\\n previously in :attr:`focus_next` to `None`. Therefore, it is only\\n required to set one of the :attr:`focus_previous` or\\n :attr:`focus_next` links since the other side will be set\\n automatically.\\n\\n :attr:`focus_next` is an :class:`~kivy.properties.ObjectProperty` and\\n defaults to `None`.\\n '''\\n\\n def _set_on_focus_previous(self, instance, value):\\n prev = self._old_focus_previous\\n if prev is value:\\n return\\n\\n if isinstance(prev, FocusBehavior):\\n prev.focus_next = None\\n self._old_focus_previous = value\\n if value is None or value is StopIteration:\\n return\\n if not isinstance(value, FocusBehavior):\\n raise ValueError('focus_previous accepts only objects based'\\n 'on FocusBehavior, or the `StopIteration` class.')\\n value.focus_next = self\\n\\n focus_previous = ObjectProperty(None, allownone=True)\\n '''The :class:`FocusBehavior` instance to acquire focus when\\n shift+tab is pressed on this instance, if not None or `StopIteration`.\\n\\n When shift+tab is pressed, focus cycles through all the\\n :class:`FocusBehavior` widgets that are linked through\\n :attr:`focus_previous` and are focusable. If :attr:`focus_previous` is\\n `None`, it instead walks the children tree to find the\\n previous focusable widget. Finally, if :attr:`focus_previous` is the\\n `StopIteration` class, focus won't move backward, but end here.\\n\\n .. note:\\n\\n Setting :attr:`focus_previous` automatically sets :attr:`focus_next`\\n of the other instance to point to this instance, if not None or\\n `StopIteration`. Similarly, if it wasn't None or `StopIteration`, it\\n also sets the :attr:`focus_next` property of the instance previously in\\n :attr:`focus_previous` to `None`. Therefore, it is only required\\n to set one of the :attr:`focus_previous` or :attr:`focus_next`\\n links since the other side will be set automatically.\\n\\n :attr:`focus_previous` is an :class:`~kivy.properties.ObjectProperty` and\\n defaults to `None`.\\n '''\\n\\n keyboard_mode = OptionProperty('auto', options=('auto', 'managed'))\\n '''Determines how the keyboard visibility should be managed. 'auto' will\\n result in the standard behaviour of showing/hiding on focus. 'managed'\\n requires setting the keyboard visibility manually, or calling the helper\\n functions :meth:`show_keyboard` and :meth:`hide_keyboard`.\\n\\n :attr:`keyboard_mode` is an :class:`~kivy.properties.OptionsProperty` and\\n defaults to 'auto'. Can be one of 'auto' or 'managed'.\\n '''\\n\\n input_type = OptionProperty('text', options=('text', 'number', 'url',\\n 'mail', 'datetime', 'tel',\\n 'address'))\\n '''The kind of input keyboard to request.\\n\\n .. versionadded:: 1.8.0\\n\\n :attr:`input_type` is an :class:`~kivy.properties.OptionsProperty` and\\n defaults to 'text'. Can be one of 'text', 'number', 'url', 'mail',\\n 'datetime', 'tel' or 'address'.\\n '''\\n\\n unfocus_on_touch = BooleanProperty(_keyboard_mode not in\\n ('multi', 'systemandmulti'))\\n '''Whether a instance should lose focus when clicked outside the instance.\\n\\n When a user clicks on a widget that is focus aware and shares the same\\n keyboard as this widget (which in the case of only one keyboard, are\\n all focus aware widgets), then as the other widgets gains focus, this\\n widget loses focus. In addition to that, if this property is `True`,\\n clicking on any widget other than this widget, will remove focus form this\\n widget.\\n\\n :attr:`unfocus_on_touch` is a :class:`~kivy.properties.BooleanProperty` and\\n defaults to `False` if the `keyboard_mode` in :attr:`~kivy.config.Config`\\n is `'multi'` or `'systemandmulti'`, otherwise it defaults to `True`.\\n '''\\n\\n def __init__(self, **kwargs):\\n self._old_focus_next = None\\n self._old_focus_previous = None\\n super(FocusBehavior, self).__init__(**kwargs)\\n\\n self._keyboard_mode = _keyboard_mode\\n fbind = self.fbind\\n fbind('focus', self._on_focus)\\n fbind('disabled', self._on_focusable)\\n fbind('is_focusable', self._on_focusable)\\n fbind('focus_next', self._set_on_focus_next)\\n fbind('focus_previous', self._set_on_focus_previous)\\n\\n def _on_focusable(self, instance, value):\\n if self.disabled or not self.is_focusable:\\n self.focus = False\\n\\n def _on_focus(self, instance, value, *largs):\\n if self.keyboard_mode == 'auto':\\n if value:\\n self._bind_keyboard()\\n else:\\n self._unbind_keyboard()\\n\\n def _ensure_keyboard(self):\\n if self._keyboard is None:\\n self._requested_keyboard = True\\n keyboard = self._keyboard = EventLoop.window.request_keyboard(\\n self._keyboard_released,\\n self,\\n input_type=self.input_type,\\n keyboard_suggestions=self.keyboard_suggestions,\\n )\\n keyboards = FocusBehavior._keyboards\\n if keyboard not in keyboards:\\n keyboards[keyboard] = None\\n\\n def _bind_keyboard(self):\\n self._ensure_keyboard()\\n keyboard = self._keyboard\\n\\n if not keyboard or self.disabled or not self.is_focusable:\\n self.focus = False\\n return\\n keyboards = FocusBehavior._keyboards\\n old_focus = keyboards[keyboard] # keyboard should be in dict\\n if old_focus:\\n old_focus.focus = False\\n # keyboard shouldn't have been released here, see keyboard warning\\n keyboards[keyboard] = self\\n keyboard.bind(on_key_down=self.keyboard_on_key_down,\\n on_key_up=self.keyboard_on_key_up,\\n on_textinput=self.keyboard_on_textinput)\\n\\n def _unbind_keyboard(self):\\n keyboard = self._keyboard\\n if keyboard:\\n keyboard.unbind(on_key_down=self.keyboard_on_key_down,\\n on_key_up=self.keyboard_on_key_up,\\n on_textinput=self.keyboard_on_textinput)\\n if self._requested_keyboard:\\n keyboard.release()\\n self._keyboard = None\\n self._requested_keyboard = False\\n del FocusBehavior._keyboards[keyboard]\\n else:\\n FocusBehavior._keyboards[keyboard] = None\\n\\n def keyboard_on_textinput(self, window, text):\\n pass\\n\\n def _keyboard_released(self):\\n self.focus = False\\n\\n def on_touch_down(self, touch):\\n if not self.collide_point(*touch.pos):\\n return\\n if (not self.disabled and self.is_focusable and\\n ('button' not in touch.profile or\\n not touch.button.startswith('scroll'))):\\n self.focus = True\\n FocusBehavior.ignored_touch.append(touch)\\n return super(FocusBehavior, self).on_touch_down(touch)\\n\\n @staticmethod\\n def _handle_post_on_touch_up(touch):\\n ''' Called by window after each touch has finished.\\n '''\\n touches = FocusBehavior.ignored_touch\\n if touch in touches:\\n touches.remove(touch)\\n return\\n if 'button' in touch.profile and touch.button in\\\\\\n ('scrollup', 'scrolldown', 'scrollleft', 'scrollright'):\\n return\\n for focusable in list(FocusBehavior._keyboards.values()):\\n if focusable is None or not focusable.unfocus_on_touch:\\n continue\\n focusable.focus = False\\n\\n def _get_focus_next(self, focus_dir):\\n current = self\\n walk_tree = 'walk' if focus_dir == 'focus_next' else 'walk_reverse'\\n\\n while 1:\\n # if we hit a focusable, walk through focus_xxx\\n while getattr(current, focus_dir) is not None:\\n current = getattr(current, focus_dir)\\n if current is self or current is StopIteration:\\n return None # make sure we don't loop forever\\n if current.is_focusable and not current.disabled:\\n return current\\n\\n # hit unfocusable, walk widget tree\\n itr = getattr(current, walk_tree)(loopback=True)\\n if focus_dir == 'focus_next':\\n next(itr) # current is returned first when walking forward\\n for current in itr:\\n if isinstance(current, FocusBehavior):\\n break\\n # why did we stop\\n if isinstance(current, FocusBehavior):\\n if current is self:\\n return None\\n if current.is_focusable and not current.disabled:\\n return current\\n else:\\n return None\\n\\n def get_focus_next(self):\\n '''Returns the next focusable widget using either :attr:`focus_next`\\n or the :attr:`children` similar to the order when tabbing forwards\\n with the ``tab`` key.\\n '''\\n return self._get_focus_next('focus_next')\\n\\n def get_focus_previous(self):\\n '''Returns the previous focusable widget using either\\n :attr:`focus_previous` or the :attr:`children` similar to the\\n order when ``tab`` + ``shift`` key are triggered together.\\n '''\\n return self._get_focus_next('focus_previous')\\n\\n def keyboard_on_key_down(self, window, keycode, text, modifiers):\\n '''The method bound to the keyboard when the instance has focus.\\n\\n When the instance becomes focused, this method is bound to the\\n keyboard and will be called for every input press. The parameters are\\n the same as :meth:`kivy.core.window.WindowBase.on_key_down`.\\n\\n When overwriting the method in the derived widget, super should be\\n called to enable tab cycling. If the derived widget wishes to use tab\\n for its own purposes, it can call super after it has processed the\\n character (if it does not wish to consume the tab).\\n\\n Similar to other keyboard functions, it should return True if the\\n key was consumed.\\n '''\\n if keycode[1] == 'tab': # deal with cycle\\n if {'ctrl', 'alt', 'meta', 'super', 'compose'} & modifiers:\\n return False\\n if 'shift' in modifiers:\\n next = self.get_focus_previous()\\n else:\\n next = self.get_focus_next()\\n if next:\\n self.focus = False\\n\\n next.focus = True\\n\\n return True\\n return False\\n\\n def keyboard_on_key_up(self, window, keycode):\\n '''The method bound to the keyboard when the instance has focus.\\n\\n When the instance becomes focused, this method is bound to the\\n keyboard and will be called for every input release. The parameters are\\n the same as :meth:`kivy.core.window.WindowBase.on_key_up`.\\n\\n When overwriting the method in the derived widget, super should be\\n called to enable de-focusing on escape. If the derived widget wishes\\n to use escape for its own purposes, it can call super after it has\\n processed the character (if it does not wish to consume the escape).\\n\\n See :meth:`keyboard_on_key_down`\\n '''\\n if keycode[1] == 'escape':\\n self.focus = False\\n return True\\n return False\\n\\n def show_keyboard(self):\\n '''\\n Convenience function to show the keyboard in managed mode.\\n '''\\n if self.keyboard_mode == 'managed':\\n self._bind_keyboard()\\n\\n def hide_keyboard(self):\\n '''\\n Convenience function to hide the keyboard in managed mode.\\n '''\\n if self.keyboard_mode == 'managed':\\n self._unbind_keyboard()\\n\",\n \"path\": \"kivy/uix/behaviors/focus.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/kivy/uix/behaviors/focus.py b/kivy/uix/behaviors/focus.py\nindex 29cc27adb9..705450a8e1 100644\n--- a/kivy/uix/behaviors/focus.py\n+++ b/kivy/uix/behaviors/focus.py\n@@ -531,7 +531,9 @@ def keyboard_on_key_down(self, window, keycode, text, modifiers):\n key was consumed.\n '''\n if keycode[1] == 'tab': # deal with cycle\n- if ['shift'] == modifiers:\n+ if {'ctrl', 'alt', 'meta', 'super', 'compose'} & modifiers:\n+ return False\n+ if 'shift' in modifiers:\n next = self.get_focus_previous()\n else:\n next = self.get_focus_next()\n"}}},{"rowIdx":6598,"cells":{"in_source_id":{"kind":"string","value":"piskvorky__gensim-1053"},"issue":{"kind":"string","value":"Doc2Vec.DocvecsArray.doctag_syn0norm not ignored in save()\nUnlike with Word2Vec.syn0norm, oversized `doctag_syn0norm` arrays aren't ignored during native `save()`. As a result, even if they're a shared-reference to `doctag_syn0` after an `init_sims(replace=True)`, both `doctag_syn0` and `doctag_syn0norm` will be written and then read back in, using more storage/RAM than necessary. (See https://groups.google.com/d/msg/gensim/fCcHoZCyV3M/djEZgNWEAAAJ )\n\nDoc2Vec.DocvecsArray.doctag_syn0norm not ignored in save()\nUnlike with Word2Vec.syn0norm, oversized `doctag_syn0norm` arrays aren't ignored during native `save()`. As a result, even if they're a shared-reference to `doctag_syn0` after an `init_sims(replace=True)`, both `doctag_syn0` and `doctag_syn0norm` will be written and then read back in, using more storage/RAM than necessary. (See https://groups.google.com/d/msg/gensim/fCcHoZCyV3M/djEZgNWEAAAJ )\n\n"},"before_files":{"kind":"list like","value":[{"content":"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n#\n# Copyright (C) 2013 Radim Rehurek <me@radimrehurek.com>\n# Licensed under the GNU LGPL v2.1 - http://www.gnu.org/licenses/lgpl.html\n\n\n\"\"\"\nDeep learning via the distributed memory and distributed bag of words models from\n[1]_, using either hierarchical softmax or negative sampling [2]_ [3]_.\n\n**Make sure you have a C compiler before installing gensim, to use optimized (compiled)\ndoc2vec training** (70x speedup [blog]_).\n\nInitialize a model with e.g.::\n\n>>> model = Doc2Vec(documents, size=100, window=8, min_count=5, workers=4)\n\nPersist a model to disk with::\n\n>>> model.save(fname)\n>>> model = Doc2Vec.load(fname) # you can continue training with the loaded model!\n\nThe model can also be instantiated from an existing file on disk in the word2vec C format::\n\n >>> model = Doc2Vec.load_word2vec_format('/tmp/vectors.txt', binary=False) # C text format\n >>> model = Doc2Vec.load_word2vec_format('/tmp/vectors.bin', binary=True) # C binary format\n\n.. [1] Quoc Le and Tomas Mikolov. Distributed Representations of Sentences and Documents. http://arxiv.org/pdf/1405.4053v2.pdf\n.. [2] Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient Estimation of Word Representations in Vector Space. In Proceedings of Workshop at ICLR, 2013.\n.. [3] Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. Distributed Representations of Words and Phrases and their Compositionality.\n In Proceedings of NIPS, 2013.\n.. [blog] Optimizing word2vec in gensim, http://radimrehurek.com/2013/09/word2vec-in-python-part-two-optimizing/\n\n\"\"\"\n\nimport logging\nimport os\nimport warnings\n\ntry:\n from queue import Queue\nexcept ImportError:\n from Queue import Queue\n\nfrom collections import namedtuple, defaultdict\nfrom timeit import default_timer\n\nfrom numpy import zeros, random, sum as np_sum, add as np_add, concatenate, \\\n repeat as np_repeat, array, float32 as REAL, empty, ones, memmap as np_memmap, \\\n sqrt, newaxis, ndarray, dot, vstack, dtype, divide as np_divide\n\n\nfrom gensim.utils import call_on_class_only\nfrom gensim import utils, matutils # utility fnc for pickling, common scipy operations etc\nfrom gensim.models.word2vec import Word2Vec, Vocab, train_cbow_pair, train_sg_pair, train_batch_sg\nfrom six.moves import xrange, zip\nfrom six import string_types, integer_types, itervalues\n\nlogger = logging.getLogger(__name__)\n\ntry:\n from gensim.models.doc2vec_inner import train_document_dbow, train_document_dm, train_document_dm_concat\n from gensim.models.word2vec_inner import FAST_VERSION # blas-adaptation shared from word2vec\n logger.debug('Fast version of {0} is being used'.format(__name__))\nexcept ImportError:\n logger.warning('Slow version of {0} is being used'.format(__name__))\n # failed... fall back to plain numpy (20-80x slower training than the above)\n FAST_VERSION = -1\n\n def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,\n train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,\n word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):\n \"\"\"\n Update distributed bag of words model (\"PV-DBOW\") by training on a single document.\n\n Called internally from `Doc2Vec.train()` and `Doc2Vec.infer_vector()`.\n\n The document is provided as `doc_words`, a list of word tokens which are looked up\n in the model's vocab dictionary, and `doctag_indexes`, which provide indexes\n into the doctag_vectors array.\n\n If `train_words` is True, simultaneously train word-to-word (not just doc-to-word)\n examples, exactly as per Word2Vec skip-gram training. (Without this option,\n word vectors are neither consulted nor updated during DBOW doc vector training.)\n\n Any of `learn_doctags', `learn_words`, and `learn_hidden` may be set False to\n prevent learning-updates to those respective model weights, as if using the\n (partially-)frozen model to infer other compatible vectors.\n\n This is the non-optimized, Python version. If you have cython installed, gensim\n will use the optimized version from doc2vec_inner instead.\n\n \"\"\"\n if doctag_vectors is None:\n doctag_vectors = model.docvecs.doctag_syn0\n if doctag_locks is None:\n doctag_locks = model.docvecs.doctag_syn0_lockf\n\n if train_words and learn_words:\n train_batch_sg(model, [doc_words], alpha, work)\n for doctag_index in doctag_indexes:\n for word in doc_words:\n train_sg_pair(model, word, doctag_index, alpha, learn_vectors=learn_doctags,\n learn_hidden=learn_hidden, context_vectors=doctag_vectors,\n context_locks=doctag_locks)\n\n return len(doc_words)\n\n def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,\n learn_doctags=True, learn_words=True, learn_hidden=True,\n word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):\n \"\"\"\n Update distributed memory model (\"PV-DM\") by training on a single document.\n\n Called internally from `Doc2Vec.train()` and `Doc2Vec.infer_vector()`. This\n method implements the DM model with a projection (input) layer that is\n either the sum or mean of the context vectors, depending on the model's\n `dm_mean` configuration field. See `train_document_dm_concat()` for the DM\n model with a concatenated input layer.\n\n The document is provided as `doc_words`, a list of word tokens which are looked up\n in the model's vocab dictionary, and `doctag_indexes`, which provide indexes\n into the doctag_vectors array.\n\n Any of `learn_doctags', `learn_words`, and `learn_hidden` may be set False to\n prevent learning-updates to those respective model weights, as if using the\n (partially-)frozen model to infer other compatible vectors.\n\n This is the non-optimized, Python version. If you have a C compiler, gensim\n will use the optimized version from doc2vec_inner instead.\n\n \"\"\"\n if word_vectors is None:\n word_vectors = model.wv.syn0\n if word_locks is None:\n word_locks = model.syn0_lockf\n if doctag_vectors is None:\n doctag_vectors = model.docvecs.doctag_syn0\n if doctag_locks is None:\n doctag_locks = model.docvecs.doctag_syn0_lockf\n\n word_vocabs = [model.wv.vocab[w] for w in doc_words if w in model.wv.vocab and\n model.wv.vocab[w].sample_int > model.random.rand() * 2**32]\n\n for pos, word in enumerate(word_vocabs):\n reduced_window = model.random.randint(model.window) # `b` in the original doc2vec code\n start = max(0, pos - model.window + reduced_window)\n window_pos = enumerate(word_vocabs[start:(pos + model.window + 1 - reduced_window)], start)\n word2_indexes = [word2.index for pos2, word2 in window_pos if pos2 != pos]\n l1 = np_sum(word_vectors[word2_indexes], axis=0) + np_sum(doctag_vectors[doctag_indexes], axis=0)\n count = len(word2_indexes) + len(doctag_indexes)\n if model.cbow_mean and count > 1 :\n l1 /= count\n neu1e = train_cbow_pair(model, word, word2_indexes, l1, alpha,\n learn_vectors=False, learn_hidden=learn_hidden)\n if not model.cbow_mean and count > 1:\n neu1e /= count\n if learn_doctags:\n for i in doctag_indexes:\n doctag_vectors[i] += neu1e * doctag_locks[i]\n if learn_words:\n for i in word2_indexes:\n word_vectors[i] += neu1e * word_locks[i]\n\n return len(word_vocabs)\n\n def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,\n learn_doctags=True, learn_words=True, learn_hidden=True,\n word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):\n \"\"\"\n Update distributed memory model (\"PV-DM\") by training on a single document, using a\n concatenation of the context window word vectors (rather than a sum or average).\n\n Called internally from `Doc2Vec.train()` and `Doc2Vec.infer_vector()`.\n\n The document is provided as `doc_words`, a list of word tokens which are looked up\n in the model's vocab dictionary, and `doctag_indexes`, which provide indexes\n into the doctag_vectors array.\n\n Any of `learn_doctags', `learn_words`, and `learn_hidden` may be set False to\n prevent learning-updates to those respective model weights, as if using the\n (partially-)frozen model to infer other compatible vectors.\n\n This is the non-optimized, Python version. If you have a C compiler, gensim\n will use the optimized version from doc2vec_inner instead.\n\n \"\"\"\n if word_vectors is None:\n word_vectors = model.wv.syn0\n if word_locks is None:\n word_locks = model.syn0_lockf\n if doctag_vectors is None:\n doctag_vectors = model.docvecs.doctag_syn0\n if doctag_locks is None:\n doctag_locks = model.docvecs.doctag_syn0_lockf\n\n word_vocabs = [model.wv.vocab[w] for w in doc_words if w in model.wv.vocab and\n model.wv.vocab[w].sample_int > model.random.rand() * 2**32]\n doctag_len = len(doctag_indexes)\n if doctag_len != model.dm_tag_count:\n return 0 # skip doc without expected number of doctag(s) (TODO: warn/pad?)\n\n null_word = model.wv.vocab['\\0']\n pre_pad_count = model.window\n post_pad_count = model.window\n padded_document_indexes = (\n (pre_pad_count * [null_word.index]) # pre-padding\n + [word.index for word in word_vocabs if word is not None] # elide out-of-Vocabulary words\n + (post_pad_count * [null_word.index]) # post-padding\n )\n\n for pos in range(pre_pad_count, len(padded_document_indexes) - post_pad_count):\n word_context_indexes = (\n padded_document_indexes[(pos - pre_pad_count): pos] # preceding words\n + padded_document_indexes[(pos + 1):(pos + 1 + post_pad_count)] # following words\n )\n word_context_len = len(word_context_indexes)\n predict_word = model.wv.vocab[model.wv.index2word[padded_document_indexes[pos]]]\n # numpy advanced-indexing copies; concatenate, flatten to 1d\n l1 = concatenate((doctag_vectors[doctag_indexes], word_vectors[word_context_indexes])).ravel()\n neu1e = train_cbow_pair(model, predict_word, None, l1, alpha,\n learn_hidden=learn_hidden, learn_vectors=False)\n\n # filter by locks and shape for addition to source vectors\n e_locks = concatenate((doctag_locks[doctag_indexes], word_locks[word_context_indexes]))\n neu1e_r = (neu1e.reshape(-1, model.vector_size)\n * np_repeat(e_locks, model.vector_size).reshape(-1, model.vector_size))\n\n if learn_doctags:\n np_add.at(doctag_vectors, doctag_indexes, neu1e_r[:doctag_len])\n if learn_words:\n np_add.at(word_vectors, word_context_indexes, neu1e_r[doctag_len:])\n\n return len(padded_document_indexes) - pre_pad_count - post_pad_count\n\n\nclass TaggedDocument(namedtuple('TaggedDocument', 'words tags')):\n \"\"\"\n A single document, made up of `words` (a list of unicode string tokens)\n and `tags` (a list of tokens). Tags may be one or more unicode string\n tokens, but typical practice (which will also be most memory-efficient) is\n for the tags list to include a unique integer id as the only tag.\n\n Replaces \"sentence as a list of words\" from Word2Vec.\n\n \"\"\"\n def __str__(self):\n return '%s(%s, %s)' % (self.__class__.__name__, self.words, self.tags)\n\n\n# for compatibility\nclass LabeledSentence(TaggedDocument):\n def __init__(self, *args, **kwargs):\n warnings.warn('LabeledSentence has been replaced by TaggedDocument', DeprecationWarning)\n\n\nclass DocvecsArray(utils.SaveLoad):\n \"\"\"\n Default storage of doc vectors during/after training, in a numpy array.\n\n As the 'docvecs' property of a Doc2Vec model, allows access and\n comparison of document vectors.\n\n >>> docvec = d2v_model.docvecs[99]\n >>> docvec = d2v_model.docvecs['SENT_99'] # if string tag used in training\n >>> sims = d2v_model.docvecs.most_similar(99)\n >>> sims = d2v_model.docvecs.most_similar('SENT_99')\n >>> sims = d2v_model.docvecs.most_similar(docvec)\n\n If only plain int tags are presented during training, the dict (of\n string tag -> index) and list (of index -> string tag) stay empty,\n saving memory.\n\n Supplying a mapfile_path (as by initializing a Doc2Vec model with a\n 'docvecs_mapfile' value) will use a pair of memory-mapped\n files as the array backing for doctag_syn0/doctag_syn0_lockf values.\n\n The Doc2Vec model automatically uses this class, but a future alternative\n implementation, based on another persistence mechanism like LMDB, LevelDB,\n or SQLite, should also be possible.\n \"\"\"\n def __init__(self, mapfile_path=None):\n self.doctags = {} # string -> Doctag (only filled if necessary)\n self.max_rawint = -1 # highest rawint-indexed doctag\n self.offset2doctag = [] # int offset-past-(max_rawint+1) -> String (only filled if necessary)\n self.count = 0\n self.mapfile_path = mapfile_path\n\n def note_doctag(self, key, document_no, document_length):\n \"\"\"Note a document tag during initial corpus scan, for structure sizing.\"\"\"\n if isinstance(key, int):\n self.max_rawint = max(self.max_rawint, key)\n else:\n if key in self.doctags:\n self.doctags[key] = self.doctags[key].repeat(document_length)\n else:\n self.doctags[key] = Doctag(len(self.offset2doctag), document_length, 1)\n self.offset2doctag.append(key)\n self.count = self.max_rawint + 1 + len(self.offset2doctag)\n\n def indexed_doctags(self, doctag_tokens):\n \"\"\"Return indexes and backing-arrays used in training examples.\"\"\"\n return ([self._int_index(index) for index in doctag_tokens if index in self],\n self.doctag_syn0, self.doctag_syn0_lockf, doctag_tokens)\n\n def trained_item(self, indexed_tuple):\n \"\"\"Persist any changes made to the given indexes (matching tuple previously\n returned by indexed_doctags()); a no-op for this implementation\"\"\"\n pass\n\n def _int_index(self, index):\n \"\"\"Return int index for either string or int index\"\"\"\n if isinstance(index, int):\n return index\n else:\n return self.max_rawint + 1 + self.doctags[index].offset\n\n def _key_index(self, i_index, missing=None):\n \"\"\"Return string index for given int index, if available\"\"\"\n warnings.warn(\"use DocvecsArray.index_to_doctag\", DeprecationWarning)\n return self.index_to_doctag(i_index)\n\n def index_to_doctag(self, i_index):\n \"\"\"Return string key for given i_index, if available. Otherwise return raw int doctag (same int).\"\"\"\n candidate_offset = i_index - self.max_rawint - 1\n if 0 <= candidate_offset < len(self.offset2doctag):\n return self.offset2doctag[candidate_offset]\n else:\n return i_index\n\n def __getitem__(self, index):\n \"\"\"\n Accept a single key (int or string tag) or list of keys as input.\n\n If a single string or int, return designated tag's vector\n representation, as a 1D numpy array.\n\n If a list, return designated tags' vector representations as a\n 2D numpy array: #tags x #vector_size.\n \"\"\"\n if isinstance(index, string_types + (int,)):\n return self.doctag_syn0[self._int_index(index)]\n\n return vstack([self[i] for i in index])\n\n def __len__(self):\n return self.count\n\n def __contains__(self, index):\n if isinstance(index, int):\n return index < self.count\n else:\n return index in self.doctags\n\n def borrow_from(self, other_docvecs):\n self.count = other_docvecs.count\n self.doctags = other_docvecs.doctags\n self.offset2doctag = other_docvecs.offset2doctag\n\n def clear_sims(self):\n self.doctag_syn0norm = None\n\n def estimated_lookup_memory(self):\n \"\"\"Estimated memory for tag lookup; 0 if using pure int tags.\"\"\"\n return 60 * len(self.offset2doctag) + 140 * len(self.doctags)\n\n def reset_weights(self, model):\n length = max(len(self.doctags), self.count)\n if self.mapfile_path:\n self.doctag_syn0 = np_memmap(self.mapfile_path+'.doctag_syn0', dtype=REAL,\n mode='w+', shape=(length, model.vector_size))\n self.doctag_syn0_lockf = np_memmap(self.mapfile_path+'.doctag_syn0_lockf', dtype=REAL,\n mode='w+', shape=(length,))\n self.doctag_syn0_lockf.fill(1.0)\n else:\n self.doctag_syn0 = empty((length, model.vector_size), dtype=REAL)\n self.doctag_syn0_lockf = ones((length,), dtype=REAL) # zeros suppress learning\n\n for i in xrange(length):\n # construct deterministic seed from index AND model seed\n seed = \"%d %s\" % (model.seed, self.index_to_doctag(i))\n self.doctag_syn0[i] = model.seeded_vector(seed)\n\n def init_sims(self, replace=False):\n \"\"\"\n Precompute L2-normalized vectors.\n\n If `replace` is set, forget the original vectors and only keep the normalized\n ones = saves lots of memory!\n\n Note that you **cannot continue training or inference** after doing a replace.\n The model becomes effectively read-only = you can call `most_similar`, `similarity`\n etc., but not `train` or `infer_vector`.\n\n \"\"\"\n if getattr(self, 'doctag_syn0norm', None) is None or replace:\n logger.info(\"precomputing L2-norms of doc weight vectors\")\n if replace:\n for i in xrange(self.doctag_syn0.shape[0]):\n self.doctag_syn0[i, :] /= sqrt((self.doctag_syn0[i, :] ** 2).sum(-1))\n self.doctag_syn0norm = self.doctag_syn0\n else:\n if self.mapfile_path:\n self.doctag_syn0norm = np_memmap(\n self.mapfile_path+'.doctag_syn0norm', dtype=REAL,\n mode='w+', shape=self.doctag_syn0.shape)\n else:\n self.doctag_syn0norm = empty(self.doctag_syn0.shape, dtype=REAL)\n np_divide(self.doctag_syn0, sqrt((self.doctag_syn0 ** 2).sum(-1))[..., newaxis], self.doctag_syn0norm)\n\n def most_similar(self, positive=[], negative=[], topn=10, clip_start=0, clip_end=None, indexer=None):\n \"\"\"\n Find the top-N most similar docvecs known from training. Positive docs contribute\n positively towards the similarity, negative docs negatively.\n\n This method computes cosine similarity between a simple mean of the projection\n weight vectors of the given docs. Docs may be specified as vectors, integer indexes\n of trained docvecs, or if the documents were originally presented with string tags,\n by the corresponding tags.\n\n The 'clip_start' and 'clip_end' allow limiting results to a particular contiguous\n range of the underlying doctag_syn0norm vectors. (This may be useful if the ordering\n there was chosen to be significant, such as more popular tag IDs in lower indexes.)\n \"\"\"\n self.init_sims()\n clip_end = clip_end or len(self.doctag_syn0norm)\n\n if isinstance(positive, string_types + integer_types) and not negative:\n # allow calls like most_similar('dog'), as a shorthand for most_similar(['dog'])\n positive = [positive]\n\n # add weights for each doc, if not already present; default to 1.0 for positive and -1.0 for negative docs\n positive = [\n (doc, 1.0) if isinstance(doc, string_types + (ndarray,) + integer_types)\n else doc for doc in positive\n ]\n negative = [\n (doc, -1.0) if isinstance(doc, string_types + (ndarray,) + integer_types)\n else doc for doc in negative\n ]\n\n # compute the weighted average of all docs\n all_docs, mean = set(), []\n for doc, weight in positive + negative:\n if isinstance(doc, ndarray):\n mean.append(weight * doc)\n elif doc in self.doctags or doc < self.count:\n mean.append(weight * self.doctag_syn0norm[self._int_index(doc)])\n all_docs.add(self._int_index(doc))\n else:\n raise KeyError(\"doc '%s' not in trained set\" % doc)\n if not mean:\n raise ValueError(\"cannot compute similarity with no input\")\n mean = matutils.unitvec(array(mean).mean(axis=0)).astype(REAL)\n\n if indexer is not None:\n return indexer.most_similar(mean, topn)\n\n dists = dot(self.doctag_syn0norm[clip_start:clip_end], mean)\n if not topn:\n return dists\n best = matutils.argsort(dists, topn=topn + len(all_docs), reverse=True)\n # ignore (don't return) docs from the input\n result = [(self.index_to_doctag(sim + clip_start), float(dists[sim])) for sim in best if (sim + clip_start) not in all_docs]\n return result[:topn]\n\n def doesnt_match(self, docs):\n \"\"\"\n Which doc from the given list doesn't go with the others?\n\n (TODO: Accept vectors of out-of-training-set docs, as if from inference.)\n\n \"\"\"\n self.init_sims()\n\n docs = [doc for doc in docs if doc in self.doctags or 0 <= doc < self.count] # filter out unknowns\n logger.debug(\"using docs %s\" % docs)\n if not docs:\n raise ValueError(\"cannot select a doc from an empty list\")\n vectors = vstack(self.doctag_syn0norm[self._int_index(doc)] for doc in docs).astype(REAL)\n mean = matutils.unitvec(vectors.mean(axis=0)).astype(REAL)\n dists = dot(vectors, mean)\n return sorted(zip(dists, docs))[0][1]\n\n def similarity(self, d1, d2):\n \"\"\"\n Compute cosine similarity between two docvecs in the trained set, specified by int index or\n string tag. (TODO: Accept vectors of out-of-training-set docs, as if from inference.)\n\n \"\"\"\n return dot(matutils.unitvec(self[d1]), matutils.unitvec(self[d2]))\n\n def n_similarity(self, ds1, ds2):\n \"\"\"\n Compute cosine similarity between two sets of docvecs from the trained set, specified by int\n index or string tag. (TODO: Accept vectors of out-of-training-set docs, as if from inference.)\n\n \"\"\"\n v1 = [self[doc] for doc in ds1]\n v2 = [self[doc] for doc in ds2]\n return dot(matutils.unitvec(array(v1).mean(axis=0)), matutils.unitvec(array(v2).mean(axis=0)))\n\n def similarity_unseen_docs(self, model, doc_words1, doc_words2, alpha=0.1, min_alpha=0.0001, steps=5):\n \"\"\"\n Compute cosine similarity between two post-bulk out of training documents.\n\n Document should be a list of (word) tokens.\n \"\"\"\n d1 = model.infer_vector(doc_words=doc_words1, alpha=alpha, min_alpha=min_alpha, steps=steps)\n d2 = model.infer_vector(doc_words=doc_words2, alpha=alpha, min_alpha=min_alpha, steps=steps)\n return dot(matutils.unitvec(d1), matutils.unitvec(d2))\n\n\nclass Doctag(namedtuple('Doctag', 'offset, word_count, doc_count')):\n \"\"\"A string document tag discovered during the initial vocabulary\n scan. (The document-vector equivalent of a Vocab object.)\n\n Will not be used if all presented document tags are ints.\n\n The offset is only the true index into the doctags_syn0/doctags_syn0_lockf\n if-and-only-if no raw-int tags were used. If any raw-int tags were used,\n string Doctag vectors begin at index (max_rawint + 1), so the true index is\n (rawint_index + 1 + offset). See also DocvecsArray.index_to_doctag().\n \"\"\"\n __slots__ = ()\n\n def repeat(self, word_count):\n return self._replace(word_count=self.word_count + word_count, doc_count=self.doc_count + 1)\n\n\nclass Doc2Vec(Word2Vec):\n \"\"\"Class for training, using and evaluating neural networks described in http://arxiv.org/pdf/1405.4053v2.pdf\"\"\"\n def __init__(self, documents=None, dm_mean=None,\n dm=1, dbow_words=0, dm_concat=0, dm_tag_count=1,\n docvecs=None, docvecs_mapfile=None, comment=None, trim_rule=None, **kwargs):\n \"\"\"\n Initialize the model from an iterable of `documents`. Each document is a\n TaggedDocument object that will be used for training.\n\n The `documents` iterable can be simply a list of TaggedDocument elements, but for larger corpora,\n consider an iterable that streams the documents directly from disk/network.\n\n If you don't supply `documents`, the model is left uninitialized -- use if\n you plan to initialize it in some other way.\n\n `dm` defines the training algorithm. By default (`dm=1`), 'distributed memory' (PV-DM) is used.\n Otherwise, `distributed bag of words` (PV-DBOW) is employed.\n\n `size` is the dimensionality of the feature vectors.\n\n `window` is the maximum distance between the predicted word and context words used for prediction\n within a document.\n\n `alpha` is the initial learning rate (will linearly drop to zero as training progresses).\n\n `seed` = for the random number generator.\n Note that for a fully deterministically-reproducible run, you must also limit the model to\n a single worker thread, to eliminate ordering jitter from OS thread scheduling. (In Python\n 3, reproducibility between interpreter launches also requires use of the PYTHONHASHSEED\n environment variable to control hash randomization.)\n\n `min_count` = ignore all words with total frequency lower than this.\n\n `max_vocab_size` = limit RAM during vocabulary building; if there are more unique\n words than this, then prune the infrequent ones. Every 10 million word types\n need about 1GB of RAM. Set to `None` for no limit (default).\n\n `sample` = threshold for configuring which higher-frequency words are randomly downsampled;\n default is 0 (off), useful value is 1e-5.\n\n `workers` = use this many worker threads to train the model (=faster training with multicore machines).\n\n `iter` = number of iterations (epochs) over the corpus. The default inherited from Word2Vec is 5,\n but values of 10 or 20 are common in published 'Paragraph Vector' experiments.\n\n `hs` = if 1 (default), hierarchical sampling will be used for model training (else set to 0).\n\n `negative` = if > 0, negative sampling will be used, the int for negative\n specifies how many \"noise words\" should be drawn (usually between 5-20).\n\n `dm_mean` = if 0 (default), use the sum of the context word vectors. If 1, use the mean.\n Only applies when dm is used in non-concatenative mode.\n\n `dm_concat` = if 1, use concatenation of context vectors rather than sum/average;\n default is 0 (off). Note concatenation results in a much-larger model, as the input\n is no longer the size of one (sampled or arithmatically combined) word vector, but the\n size of the tag(s) and all words in the context strung together.\n\n `dm_tag_count` = expected constant number of document tags per document, when using\n dm_concat mode; default is 1.\n\n `dbow_words` if set to 1 trains word-vectors (in skip-gram fashion) simultaneous with DBOW\n doc-vector training; default is 0 (faster training of doc-vectors only).\n\n `trim_rule` = vocabulary trimming rule, specifies whether certain words should remain\n in the vocabulary, be trimmed away, or handled using the default (discard if word count < min_count).\n Can be None (min_count will be used), or a callable that accepts parameters (word, count, min_count) and\n returns either util.RULE_DISCARD, util.RULE_KEEP or util.RULE_DEFAULT.\n Note: The rule, if given, is only used prune vocabulary during build_vocab() and is not stored as part\n of the model.\n\n \"\"\"\n\n super(Doc2Vec, self).__init__(\n sg=(1 + dm) % 2,\n null_word=dm_concat, **kwargs)\n \n self.load = call_on_class_only\n self.load_word2vec_format = call_on_class_only\n\n if dm_mean is not None:\n self.cbow_mean = dm_mean\n \n self.dbow_words = dbow_words\n self.dm_concat = dm_concat\n self.dm_tag_count = dm_tag_count\n if self.dm and self.dm_concat:\n self.layer1_size = (self.dm_tag_count + (2 * self.window)) * self.vector_size\n\n self.docvecs = docvecs or DocvecsArray(docvecs_mapfile)\n self.comment = comment\n if documents is not None:\n self.build_vocab(documents, trim_rule=trim_rule)\n self.train(documents)\n\n @property\n def dm(self):\n return not self.sg # opposite of SG\n\n @property\n def dbow(self):\n return self.sg # same as SG\n\n def clear_sims(self):\n super(Doc2Vec, self).clear_sims()\n self.docvecs.clear_sims()\n\n def reset_weights(self):\n if self.dm and self.dm_concat:\n # expand l1 size to match concatenated tags+words length\n self.layer1_size = (self.dm_tag_count + (2 * self.window)) * self.vector_size\n logger.info(\"using concatenative %d-dimensional layer1\" % (self.layer1_size))\n super(Doc2Vec, self).reset_weights()\n self.docvecs.reset_weights(self)\n\n def reset_from(self, other_model):\n \"\"\"Reuse shareable structures from other_model.\"\"\"\n self.docvecs.borrow_from(other_model.docvecs)\n super(Doc2Vec, self).reset_from(other_model)\n\n def scan_vocab(self, documents, progress_per=10000, trim_rule=None, update=False):\n logger.info(\"collecting all words and their counts\")\n document_no = -1\n total_words = 0\n min_reduce = 1\n interval_start = default_timer() - 0.00001 # guard against next sample being identical\n interval_count = 0\n checked_string_types = 0\n vocab = defaultdict(int)\n for document_no, document in enumerate(documents):\n if not checked_string_types:\n if isinstance(document.words, string_types):\n logger.warn(\"Each 'words' should be a list of words (usually unicode strings).\"\n \"First 'words' here is instead plain %s.\" % type(document.words))\n checked_string_types += 1\n if document_no % progress_per == 0:\n interval_rate = (total_words - interval_count) / (default_timer() - interval_start)\n logger.info(\"PROGRESS: at example #%i, processed %i words (%i/s), %i word types, %i tags\",\n document_no, total_words, interval_rate, len(vocab), len(self.docvecs))\n interval_start = default_timer()\n interval_count = total_words\n document_length = len(document.words)\n\n for tag in document.tags:\n self.docvecs.note_doctag(tag, document_no, document_length)\n\n for word in document.words:\n vocab[word] += 1\n total_words += len(document.words)\n\n if self.max_vocab_size and len(vocab) > self.max_vocab_size:\n utils.prune_vocab(vocab, min_reduce, trim_rule=trim_rule)\n min_reduce += 1\n\n logger.info(\"collected %i word types and %i unique tags from a corpus of %i examples and %i words\",\n len(vocab), len(self.docvecs), document_no + 1, total_words)\n self.corpus_count = document_no + 1\n self.raw_vocab = vocab\n\n def _do_train_job(self, job, alpha, inits):\n work, neu1 = inits\n tally = 0\n for doc in job:\n indexed_doctags = self.docvecs.indexed_doctags(doc.tags)\n doctag_indexes, doctag_vectors, doctag_locks, ignored = indexed_doctags\n if self.sg:\n tally += train_document_dbow(self, doc.words, doctag_indexes, alpha, work,\n train_words=self.dbow_words,\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\n elif self.dm_concat:\n tally += train_document_dm_concat(self, doc.words, doctag_indexes, alpha, work, neu1,\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\n else:\n tally += train_document_dm(self, doc.words, doctag_indexes, alpha, work, neu1,\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\n self.docvecs.trained_item(indexed_doctags)\n return tally, self._raw_word_count(job)\n\n def _raw_word_count(self, job):\n \"\"\"Return the number of words in a given job.\"\"\"\n return sum(len(sentence.words) for sentence in job)\n\n def infer_vector(self, doc_words, alpha=0.1, min_alpha=0.0001, steps=5):\n \"\"\"\n Infer a vector for given post-bulk training document.\n\n Document should be a list of (word) tokens.\n \"\"\"\n doctag_vectors = empty((1, self.vector_size), dtype=REAL)\n doctag_vectors[0] = self.seeded_vector(' '.join(doc_words))\n doctag_locks = ones(1, dtype=REAL)\n doctag_indexes = [0]\n\n work = zeros(self.layer1_size, dtype=REAL)\n if not self.sg:\n neu1 = matutils.zeros_aligned(self.layer1_size, dtype=REAL)\n\n for i in range(steps):\n if self.sg:\n train_document_dbow(self, doc_words, doctag_indexes, alpha, work,\n learn_words=False, learn_hidden=False,\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\n elif self.dm_concat:\n train_document_dm_concat(self, doc_words, doctag_indexes, alpha, work, neu1,\n learn_words=False, learn_hidden=False,\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\n else:\n train_document_dm(self, doc_words, doctag_indexes, alpha, work, neu1,\n learn_words=False, learn_hidden=False,\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\n alpha = ((alpha - min_alpha) / (steps - i)) + min_alpha\n\n return doctag_vectors[0]\n\n def estimate_memory(self, vocab_size=None, report=None):\n \"\"\"Estimate required memory for a model using current settings.\"\"\"\n report = report or {}\n report['doctag_lookup'] = self.docvecs.estimated_lookup_memory()\n report['doctag_syn0'] = self.docvecs.count * self.vector_size * dtype(REAL).itemsize\n return super(Doc2Vec, self).estimate_memory(vocab_size, report=report)\n\n def __str__(self):\n \"\"\"Abbreviated name reflecting major configuration paramaters.\"\"\"\n segments = []\n if self.comment:\n segments.append('\"%s\"' % self.comment)\n if self.sg:\n if self.dbow_words:\n segments.append('dbow+w') # also training words\n else:\n segments.append('dbow') # PV-DBOW (skip-gram-style)\n\n else: # PV-DM...\n if self.dm_concat:\n segments.append('dm/c') # ...with concatenative context layer\n else:\n if self.cbow_mean:\n segments.append('dm/m')\n else:\n segments.append('dm/s')\n segments.append('d%d' % self.vector_size) # dimensions\n if self.negative:\n segments.append('n%d' % self.negative) # negative samples\n if self.hs:\n segments.append('hs')\n if not self.sg or (self.sg and self.dbow_words):\n segments.append('w%d' % self.window) # window size, when relevant\n if self.min_count > 1:\n segments.append('mc%d' % self.min_count)\n if self.sample > 0:\n segments.append('s%g' % self.sample)\n if self.workers > 1:\n segments.append('t%d' % self.workers)\n return '%s(%s)' % (self.__class__.__name__, ','.join(segments))\n\n def delete_temporary_training_data(self, keep_doctags_vectors=True, keep_inference=True):\n \"\"\"\n Discard parameters that are used in training and score. Use if you're sure you're done training a model.\n Set `keep_doctags_vectors` to False if you don't want to save doctags vectors,\n in this case you can't to use docvecs's most_similar, similarity etc. methods.\n Set `keep_inference` to False if you don't want to store parameters that is used for infer_vector method\n \"\"\"\n if not keep_inference:\n self._minimize_model(False, False, False)\n if self.docvecs and hasattr(self.docvecs, 'doctag_syn0') and not keep_doctags_vectors:\n del self.docvecs.doctag_syn0\n if self.docvecs and hasattr(self.docvecs, 'doctag_syn0_lockf'):\n del self.docvecs.doctag_syn0_lockf\n\nclass TaggedBrownCorpus(object):\n \"\"\"Iterate over documents from the Brown corpus (part of NLTK data), yielding\n each document out as a TaggedDocument object.\"\"\"\n def __init__(self, dirname):\n self.dirname = dirname\n\n def __iter__(self):\n for fname in os.listdir(self.dirname):\n fname = os.path.join(self.dirname, fname)\n if not os.path.isfile(fname):\n continue\n for item_no, line in enumerate(utils.smart_open(fname)):\n line = utils.to_unicode(line)\n # each file line is a single document in the Brown corpus\n # each token is WORD/POS_TAG\n token_tags = [t.split('/') for t in line.split() if len(t.split('/')) == 2]\n # ignore words with non-alphabetic tags like \",\", \"!\" etc (punctuation, weird stuff)\n words = [\"%s/%s\" % (token.lower(), tag[:2]) for token, tag in token_tags if tag[:2].isalpha()]\n if not words: # don't bother sending out empty documents\n continue\n yield TaggedDocument(words, ['%s_SENT_%s' % (fname, item_no)])\n\n\nclass TaggedLineDocument(object):\n \"\"\"Simple format: one document = one line = one TaggedDocument object.\n\n Words are expected to be already preprocessed and separated by whitespace,\n tags are constructed automatically from the document line number.\"\"\"\n def __init__(self, source):\n \"\"\"\n `source` can be either a string (filename) or a file object.\n\n Example::\n\n documents = TaggedLineDocument('myfile.txt')\n\n Or for compressed files::\n\n documents = TaggedLineDocument('compressed_text.txt.bz2')\n documents = TaggedLineDocument('compressed_text.txt.gz')\n\n \"\"\"\n self.source = source\n\n def __iter__(self):\n \"\"\"Iterate through the lines in the source.\"\"\"\n try:\n # Assume it is a file-like object and try treating it as such\n # Things that don't have seek will trigger an exception\n self.source.seek(0)\n for item_no, line in enumerate(self.source):\n yield TaggedDocument(utils.to_unicode(line).split(), [item_no])\n except AttributeError:\n # If it didn't work like a file, use it as a string filename\n with utils.smart_open(self.source) as fin:\n for item_no, line in enumerate(fin):\n yield TaggedDocument(utils.to_unicode(line).split(), [item_no])\n","path":"gensim/models/doc2vec.py"}],"string":"[\n {\n \"content\": \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n#\\n# Copyright (C) 2013 Radim Rehurek <me@radimrehurek.com>\\n# Licensed under the GNU LGPL v2.1 - http://www.gnu.org/licenses/lgpl.html\\n\\n\\n\\\"\\\"\\\"\\nDeep learning via the distributed memory and distributed bag of words models from\\n[1]_, using either hierarchical softmax or negative sampling [2]_ [3]_.\\n\\n**Make sure you have a C compiler before installing gensim, to use optimized (compiled)\\ndoc2vec training** (70x speedup [blog]_).\\n\\nInitialize a model with e.g.::\\n\\n>>> model = Doc2Vec(documents, size=100, window=8, min_count=5, workers=4)\\n\\nPersist a model to disk with::\\n\\n>>> model.save(fname)\\n>>> model = Doc2Vec.load(fname) # you can continue training with the loaded model!\\n\\nThe model can also be instantiated from an existing file on disk in the word2vec C format::\\n\\n >>> model = Doc2Vec.load_word2vec_format('/tmp/vectors.txt', binary=False) # C text format\\n >>> model = Doc2Vec.load_word2vec_format('/tmp/vectors.bin', binary=True) # C binary format\\n\\n.. [1] Quoc Le and Tomas Mikolov. Distributed Representations of Sentences and Documents. http://arxiv.org/pdf/1405.4053v2.pdf\\n.. [2] Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient Estimation of Word Representations in Vector Space. In Proceedings of Workshop at ICLR, 2013.\\n.. [3] Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. Distributed Representations of Words and Phrases and their Compositionality.\\n In Proceedings of NIPS, 2013.\\n.. [blog] Optimizing word2vec in gensim, http://radimrehurek.com/2013/09/word2vec-in-python-part-two-optimizing/\\n\\n\\\"\\\"\\\"\\n\\nimport logging\\nimport os\\nimport warnings\\n\\ntry:\\n from queue import Queue\\nexcept ImportError:\\n from Queue import Queue\\n\\nfrom collections import namedtuple, defaultdict\\nfrom timeit import default_timer\\n\\nfrom numpy import zeros, random, sum as np_sum, add as np_add, concatenate, \\\\\\n repeat as np_repeat, array, float32 as REAL, empty, ones, memmap as np_memmap, \\\\\\n sqrt, newaxis, ndarray, dot, vstack, dtype, divide as np_divide\\n\\n\\nfrom gensim.utils import call_on_class_only\\nfrom gensim import utils, matutils # utility fnc for pickling, common scipy operations etc\\nfrom gensim.models.word2vec import Word2Vec, Vocab, train_cbow_pair, train_sg_pair, train_batch_sg\\nfrom six.moves import xrange, zip\\nfrom six import string_types, integer_types, itervalues\\n\\nlogger = logging.getLogger(__name__)\\n\\ntry:\\n from gensim.models.doc2vec_inner import train_document_dbow, train_document_dm, train_document_dm_concat\\n from gensim.models.word2vec_inner import FAST_VERSION # blas-adaptation shared from word2vec\\n logger.debug('Fast version of {0} is being used'.format(__name__))\\nexcept ImportError:\\n logger.warning('Slow version of {0} is being used'.format(__name__))\\n # failed... fall back to plain numpy (20-80x slower training than the above)\\n FAST_VERSION = -1\\n\\n def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,\\n train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,\\n word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):\\n \\\"\\\"\\\"\\n Update distributed bag of words model (\\\"PV-DBOW\\\") by training on a single document.\\n\\n Called internally from `Doc2Vec.train()` and `Doc2Vec.infer_vector()`.\\n\\n The document is provided as `doc_words`, a list of word tokens which are looked up\\n in the model's vocab dictionary, and `doctag_indexes`, which provide indexes\\n into the doctag_vectors array.\\n\\n If `train_words` is True, simultaneously train word-to-word (not just doc-to-word)\\n examples, exactly as per Word2Vec skip-gram training. (Without this option,\\n word vectors are neither consulted nor updated during DBOW doc vector training.)\\n\\n Any of `learn_doctags', `learn_words`, and `learn_hidden` may be set False to\\n prevent learning-updates to those respective model weights, as if using the\\n (partially-)frozen model to infer other compatible vectors.\\n\\n This is the non-optimized, Python version. If you have cython installed, gensim\\n will use the optimized version from doc2vec_inner instead.\\n\\n \\\"\\\"\\\"\\n if doctag_vectors is None:\\n doctag_vectors = model.docvecs.doctag_syn0\\n if doctag_locks is None:\\n doctag_locks = model.docvecs.doctag_syn0_lockf\\n\\n if train_words and learn_words:\\n train_batch_sg(model, [doc_words], alpha, work)\\n for doctag_index in doctag_indexes:\\n for word in doc_words:\\n train_sg_pair(model, word, doctag_index, alpha, learn_vectors=learn_doctags,\\n learn_hidden=learn_hidden, context_vectors=doctag_vectors,\\n context_locks=doctag_locks)\\n\\n return len(doc_words)\\n\\n def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,\\n learn_doctags=True, learn_words=True, learn_hidden=True,\\n word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):\\n \\\"\\\"\\\"\\n Update distributed memory model (\\\"PV-DM\\\") by training on a single document.\\n\\n Called internally from `Doc2Vec.train()` and `Doc2Vec.infer_vector()`. This\\n method implements the DM model with a projection (input) layer that is\\n either the sum or mean of the context vectors, depending on the model's\\n `dm_mean` configuration field. See `train_document_dm_concat()` for the DM\\n model with a concatenated input layer.\\n\\n The document is provided as `doc_words`, a list of word tokens which are looked up\\n in the model's vocab dictionary, and `doctag_indexes`, which provide indexes\\n into the doctag_vectors array.\\n\\n Any of `learn_doctags', `learn_words`, and `learn_hidden` may be set False to\\n prevent learning-updates to those respective model weights, as if using the\\n (partially-)frozen model to infer other compatible vectors.\\n\\n This is the non-optimized, Python version. If you have a C compiler, gensim\\n will use the optimized version from doc2vec_inner instead.\\n\\n \\\"\\\"\\\"\\n if word_vectors is None:\\n word_vectors = model.wv.syn0\\n if word_locks is None:\\n word_locks = model.syn0_lockf\\n if doctag_vectors is None:\\n doctag_vectors = model.docvecs.doctag_syn0\\n if doctag_locks is None:\\n doctag_locks = model.docvecs.doctag_syn0_lockf\\n\\n word_vocabs = [model.wv.vocab[w] for w in doc_words if w in model.wv.vocab and\\n model.wv.vocab[w].sample_int > model.random.rand() * 2**32]\\n\\n for pos, word in enumerate(word_vocabs):\\n reduced_window = model.random.randint(model.window) # `b` in the original doc2vec code\\n start = max(0, pos - model.window + reduced_window)\\n window_pos = enumerate(word_vocabs[start:(pos + model.window + 1 - reduced_window)], start)\\n word2_indexes = [word2.index for pos2, word2 in window_pos if pos2 != pos]\\n l1 = np_sum(word_vectors[word2_indexes], axis=0) + np_sum(doctag_vectors[doctag_indexes], axis=0)\\n count = len(word2_indexes) + len(doctag_indexes)\\n if model.cbow_mean and count > 1 :\\n l1 /= count\\n neu1e = train_cbow_pair(model, word, word2_indexes, l1, alpha,\\n learn_vectors=False, learn_hidden=learn_hidden)\\n if not model.cbow_mean and count > 1:\\n neu1e /= count\\n if learn_doctags:\\n for i in doctag_indexes:\\n doctag_vectors[i] += neu1e * doctag_locks[i]\\n if learn_words:\\n for i in word2_indexes:\\n word_vectors[i] += neu1e * word_locks[i]\\n\\n return len(word_vocabs)\\n\\n def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,\\n learn_doctags=True, learn_words=True, learn_hidden=True,\\n word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):\\n \\\"\\\"\\\"\\n Update distributed memory model (\\\"PV-DM\\\") by training on a single document, using a\\n concatenation of the context window word vectors (rather than a sum or average).\\n\\n Called internally from `Doc2Vec.train()` and `Doc2Vec.infer_vector()`.\\n\\n The document is provided as `doc_words`, a list of word tokens which are looked up\\n in the model's vocab dictionary, and `doctag_indexes`, which provide indexes\\n into the doctag_vectors array.\\n\\n Any of `learn_doctags', `learn_words`, and `learn_hidden` may be set False to\\n prevent learning-updates to those respective model weights, as if using the\\n (partially-)frozen model to infer other compatible vectors.\\n\\n This is the non-optimized, Python version. If you have a C compiler, gensim\\n will use the optimized version from doc2vec_inner instead.\\n\\n \\\"\\\"\\\"\\n if word_vectors is None:\\n word_vectors = model.wv.syn0\\n if word_locks is None:\\n word_locks = model.syn0_lockf\\n if doctag_vectors is None:\\n doctag_vectors = model.docvecs.doctag_syn0\\n if doctag_locks is None:\\n doctag_locks = model.docvecs.doctag_syn0_lockf\\n\\n word_vocabs = [model.wv.vocab[w] for w in doc_words if w in model.wv.vocab and\\n model.wv.vocab[w].sample_int > model.random.rand() * 2**32]\\n doctag_len = len(doctag_indexes)\\n if doctag_len != model.dm_tag_count:\\n return 0 # skip doc without expected number of doctag(s) (TODO: warn/pad?)\\n\\n null_word = model.wv.vocab['\\\\0']\\n pre_pad_count = model.window\\n post_pad_count = model.window\\n padded_document_indexes = (\\n (pre_pad_count * [null_word.index]) # pre-padding\\n + [word.index for word in word_vocabs if word is not None] # elide out-of-Vocabulary words\\n + (post_pad_count * [null_word.index]) # post-padding\\n )\\n\\n for pos in range(pre_pad_count, len(padded_document_indexes) - post_pad_count):\\n word_context_indexes = (\\n padded_document_indexes[(pos - pre_pad_count): pos] # preceding words\\n + padded_document_indexes[(pos + 1):(pos + 1 + post_pad_count)] # following words\\n )\\n word_context_len = len(word_context_indexes)\\n predict_word = model.wv.vocab[model.wv.index2word[padded_document_indexes[pos]]]\\n # numpy advanced-indexing copies; concatenate, flatten to 1d\\n l1 = concatenate((doctag_vectors[doctag_indexes], word_vectors[word_context_indexes])).ravel()\\n neu1e = train_cbow_pair(model, predict_word, None, l1, alpha,\\n learn_hidden=learn_hidden, learn_vectors=False)\\n\\n # filter by locks and shape for addition to source vectors\\n e_locks = concatenate((doctag_locks[doctag_indexes], word_locks[word_context_indexes]))\\n neu1e_r = (neu1e.reshape(-1, model.vector_size)\\n * np_repeat(e_locks, model.vector_size).reshape(-1, model.vector_size))\\n\\n if learn_doctags:\\n np_add.at(doctag_vectors, doctag_indexes, neu1e_r[:doctag_len])\\n if learn_words:\\n np_add.at(word_vectors, word_context_indexes, neu1e_r[doctag_len:])\\n\\n return len(padded_document_indexes) - pre_pad_count - post_pad_count\\n\\n\\nclass TaggedDocument(namedtuple('TaggedDocument', 'words tags')):\\n \\\"\\\"\\\"\\n A single document, made up of `words` (a list of unicode string tokens)\\n and `tags` (a list of tokens). Tags may be one or more unicode string\\n tokens, but typical practice (which will also be most memory-efficient) is\\n for the tags list to include a unique integer id as the only tag.\\n\\n Replaces \\\"sentence as a list of words\\\" from Word2Vec.\\n\\n \\\"\\\"\\\"\\n def __str__(self):\\n return '%s(%s, %s)' % (self.__class__.__name__, self.words, self.tags)\\n\\n\\n# for compatibility\\nclass LabeledSentence(TaggedDocument):\\n def __init__(self, *args, **kwargs):\\n warnings.warn('LabeledSentence has been replaced by TaggedDocument', DeprecationWarning)\\n\\n\\nclass DocvecsArray(utils.SaveLoad):\\n \\\"\\\"\\\"\\n Default storage of doc vectors during/after training, in a numpy array.\\n\\n As the 'docvecs' property of a Doc2Vec model, allows access and\\n comparison of document vectors.\\n\\n >>> docvec = d2v_model.docvecs[99]\\n >>> docvec = d2v_model.docvecs['SENT_99'] # if string tag used in training\\n >>> sims = d2v_model.docvecs.most_similar(99)\\n >>> sims = d2v_model.docvecs.most_similar('SENT_99')\\n >>> sims = d2v_model.docvecs.most_similar(docvec)\\n\\n If only plain int tags are presented during training, the dict (of\\n string tag -> index) and list (of index -> string tag) stay empty,\\n saving memory.\\n\\n Supplying a mapfile_path (as by initializing a Doc2Vec model with a\\n 'docvecs_mapfile' value) will use a pair of memory-mapped\\n files as the array backing for doctag_syn0/doctag_syn0_lockf values.\\n\\n The Doc2Vec model automatically uses this class, but a future alternative\\n implementation, based on another persistence mechanism like LMDB, LevelDB,\\n or SQLite, should also be possible.\\n \\\"\\\"\\\"\\n def __init__(self, mapfile_path=None):\\n self.doctags = {} # string -> Doctag (only filled if necessary)\\n self.max_rawint = -1 # highest rawint-indexed doctag\\n self.offset2doctag = [] # int offset-past-(max_rawint+1) -> String (only filled if necessary)\\n self.count = 0\\n self.mapfile_path = mapfile_path\\n\\n def note_doctag(self, key, document_no, document_length):\\n \\\"\\\"\\\"Note a document tag during initial corpus scan, for structure sizing.\\\"\\\"\\\"\\n if isinstance(key, int):\\n self.max_rawint = max(self.max_rawint, key)\\n else:\\n if key in self.doctags:\\n self.doctags[key] = self.doctags[key].repeat(document_length)\\n else:\\n self.doctags[key] = Doctag(len(self.offset2doctag), document_length, 1)\\n self.offset2doctag.append(key)\\n self.count = self.max_rawint + 1 + len(self.offset2doctag)\\n\\n def indexed_doctags(self, doctag_tokens):\\n \\\"\\\"\\\"Return indexes and backing-arrays used in training examples.\\\"\\\"\\\"\\n return ([self._int_index(index) for index in doctag_tokens if index in self],\\n self.doctag_syn0, self.doctag_syn0_lockf, doctag_tokens)\\n\\n def trained_item(self, indexed_tuple):\\n \\\"\\\"\\\"Persist any changes made to the given indexes (matching tuple previously\\n returned by indexed_doctags()); a no-op for this implementation\\\"\\\"\\\"\\n pass\\n\\n def _int_index(self, index):\\n \\\"\\\"\\\"Return int index for either string or int index\\\"\\\"\\\"\\n if isinstance(index, int):\\n return index\\n else:\\n return self.max_rawint + 1 + self.doctags[index].offset\\n\\n def _key_index(self, i_index, missing=None):\\n \\\"\\\"\\\"Return string index for given int index, if available\\\"\\\"\\\"\\n warnings.warn(\\\"use DocvecsArray.index_to_doctag\\\", DeprecationWarning)\\n return self.index_to_doctag(i_index)\\n\\n def index_to_doctag(self, i_index):\\n \\\"\\\"\\\"Return string key for given i_index, if available. Otherwise return raw int doctag (same int).\\\"\\\"\\\"\\n candidate_offset = i_index - self.max_rawint - 1\\n if 0 <= candidate_offset < len(self.offset2doctag):\\n return self.offset2doctag[candidate_offset]\\n else:\\n return i_index\\n\\n def __getitem__(self, index):\\n \\\"\\\"\\\"\\n Accept a single key (int or string tag) or list of keys as input.\\n\\n If a single string or int, return designated tag's vector\\n representation, as a 1D numpy array.\\n\\n If a list, return designated tags' vector representations as a\\n 2D numpy array: #tags x #vector_size.\\n \\\"\\\"\\\"\\n if isinstance(index, string_types + (int,)):\\n return self.doctag_syn0[self._int_index(index)]\\n\\n return vstack([self[i] for i in index])\\n\\n def __len__(self):\\n return self.count\\n\\n def __contains__(self, index):\\n if isinstance(index, int):\\n return index < self.count\\n else:\\n return index in self.doctags\\n\\n def borrow_from(self, other_docvecs):\\n self.count = other_docvecs.count\\n self.doctags = other_docvecs.doctags\\n self.offset2doctag = other_docvecs.offset2doctag\\n\\n def clear_sims(self):\\n self.doctag_syn0norm = None\\n\\n def estimated_lookup_memory(self):\\n \\\"\\\"\\\"Estimated memory for tag lookup; 0 if using pure int tags.\\\"\\\"\\\"\\n return 60 * len(self.offset2doctag) + 140 * len(self.doctags)\\n\\n def reset_weights(self, model):\\n length = max(len(self.doctags), self.count)\\n if self.mapfile_path:\\n self.doctag_syn0 = np_memmap(self.mapfile_path+'.doctag_syn0', dtype=REAL,\\n mode='w+', shape=(length, model.vector_size))\\n self.doctag_syn0_lockf = np_memmap(self.mapfile_path+'.doctag_syn0_lockf', dtype=REAL,\\n mode='w+', shape=(length,))\\n self.doctag_syn0_lockf.fill(1.0)\\n else:\\n self.doctag_syn0 = empty((length, model.vector_size), dtype=REAL)\\n self.doctag_syn0_lockf = ones((length,), dtype=REAL) # zeros suppress learning\\n\\n for i in xrange(length):\\n # construct deterministic seed from index AND model seed\\n seed = \\\"%d %s\\\" % (model.seed, self.index_to_doctag(i))\\n self.doctag_syn0[i] = model.seeded_vector(seed)\\n\\n def init_sims(self, replace=False):\\n \\\"\\\"\\\"\\n Precompute L2-normalized vectors.\\n\\n If `replace` is set, forget the original vectors and only keep the normalized\\n ones = saves lots of memory!\\n\\n Note that you **cannot continue training or inference** after doing a replace.\\n The model becomes effectively read-only = you can call `most_similar`, `similarity`\\n etc., but not `train` or `infer_vector`.\\n\\n \\\"\\\"\\\"\\n if getattr(self, 'doctag_syn0norm', None) is None or replace:\\n logger.info(\\\"precomputing L2-norms of doc weight vectors\\\")\\n if replace:\\n for i in xrange(self.doctag_syn0.shape[0]):\\n self.doctag_syn0[i, :] /= sqrt((self.doctag_syn0[i, :] ** 2).sum(-1))\\n self.doctag_syn0norm = self.doctag_syn0\\n else:\\n if self.mapfile_path:\\n self.doctag_syn0norm = np_memmap(\\n self.mapfile_path+'.doctag_syn0norm', dtype=REAL,\\n mode='w+', shape=self.doctag_syn0.shape)\\n else:\\n self.doctag_syn0norm = empty(self.doctag_syn0.shape, dtype=REAL)\\n np_divide(self.doctag_syn0, sqrt((self.doctag_syn0 ** 2).sum(-1))[..., newaxis], self.doctag_syn0norm)\\n\\n def most_similar(self, positive=[], negative=[], topn=10, clip_start=0, clip_end=None, indexer=None):\\n \\\"\\\"\\\"\\n Find the top-N most similar docvecs known from training. Positive docs contribute\\n positively towards the similarity, negative docs negatively.\\n\\n This method computes cosine similarity between a simple mean of the projection\\n weight vectors of the given docs. Docs may be specified as vectors, integer indexes\\n of trained docvecs, or if the documents were originally presented with string tags,\\n by the corresponding tags.\\n\\n The 'clip_start' and 'clip_end' allow limiting results to a particular contiguous\\n range of the underlying doctag_syn0norm vectors. (This may be useful if the ordering\\n there was chosen to be significant, such as more popular tag IDs in lower indexes.)\\n \\\"\\\"\\\"\\n self.init_sims()\\n clip_end = clip_end or len(self.doctag_syn0norm)\\n\\n if isinstance(positive, string_types + integer_types) and not negative:\\n # allow calls like most_similar('dog'), as a shorthand for most_similar(['dog'])\\n positive = [positive]\\n\\n # add weights for each doc, if not already present; default to 1.0 for positive and -1.0 for negative docs\\n positive = [\\n (doc, 1.0) if isinstance(doc, string_types + (ndarray,) + integer_types)\\n else doc for doc in positive\\n ]\\n negative = [\\n (doc, -1.0) if isinstance(doc, string_types + (ndarray,) + integer_types)\\n else doc for doc in negative\\n ]\\n\\n # compute the weighted average of all docs\\n all_docs, mean = set(), []\\n for doc, weight in positive + negative:\\n if isinstance(doc, ndarray):\\n mean.append(weight * doc)\\n elif doc in self.doctags or doc < self.count:\\n mean.append(weight * self.doctag_syn0norm[self._int_index(doc)])\\n all_docs.add(self._int_index(doc))\\n else:\\n raise KeyError(\\\"doc '%s' not in trained set\\\" % doc)\\n if not mean:\\n raise ValueError(\\\"cannot compute similarity with no input\\\")\\n mean = matutils.unitvec(array(mean).mean(axis=0)).astype(REAL)\\n\\n if indexer is not None:\\n return indexer.most_similar(mean, topn)\\n\\n dists = dot(self.doctag_syn0norm[clip_start:clip_end], mean)\\n if not topn:\\n return dists\\n best = matutils.argsort(dists, topn=topn + len(all_docs), reverse=True)\\n # ignore (don't return) docs from the input\\n result = [(self.index_to_doctag(sim + clip_start), float(dists[sim])) for sim in best if (sim + clip_start) not in all_docs]\\n return result[:topn]\\n\\n def doesnt_match(self, docs):\\n \\\"\\\"\\\"\\n Which doc from the given list doesn't go with the others?\\n\\n (TODO: Accept vectors of out-of-training-set docs, as if from inference.)\\n\\n \\\"\\\"\\\"\\n self.init_sims()\\n\\n docs = [doc for doc in docs if doc in self.doctags or 0 <= doc < self.count] # filter out unknowns\\n logger.debug(\\\"using docs %s\\\" % docs)\\n if not docs:\\n raise ValueError(\\\"cannot select a doc from an empty list\\\")\\n vectors = vstack(self.doctag_syn0norm[self._int_index(doc)] for doc in docs).astype(REAL)\\n mean = matutils.unitvec(vectors.mean(axis=0)).astype(REAL)\\n dists = dot(vectors, mean)\\n return sorted(zip(dists, docs))[0][1]\\n\\n def similarity(self, d1, d2):\\n \\\"\\\"\\\"\\n Compute cosine similarity between two docvecs in the trained set, specified by int index or\\n string tag. (TODO: Accept vectors of out-of-training-set docs, as if from inference.)\\n\\n \\\"\\\"\\\"\\n return dot(matutils.unitvec(self[d1]), matutils.unitvec(self[d2]))\\n\\n def n_similarity(self, ds1, ds2):\\n \\\"\\\"\\\"\\n Compute cosine similarity between two sets of docvecs from the trained set, specified by int\\n index or string tag. (TODO: Accept vectors of out-of-training-set docs, as if from inference.)\\n\\n \\\"\\\"\\\"\\n v1 = [self[doc] for doc in ds1]\\n v2 = [self[doc] for doc in ds2]\\n return dot(matutils.unitvec(array(v1).mean(axis=0)), matutils.unitvec(array(v2).mean(axis=0)))\\n\\n def similarity_unseen_docs(self, model, doc_words1, doc_words2, alpha=0.1, min_alpha=0.0001, steps=5):\\n \\\"\\\"\\\"\\n Compute cosine similarity between two post-bulk out of training documents.\\n\\n Document should be a list of (word) tokens.\\n \\\"\\\"\\\"\\n d1 = model.infer_vector(doc_words=doc_words1, alpha=alpha, min_alpha=min_alpha, steps=steps)\\n d2 = model.infer_vector(doc_words=doc_words2, alpha=alpha, min_alpha=min_alpha, steps=steps)\\n return dot(matutils.unitvec(d1), matutils.unitvec(d2))\\n\\n\\nclass Doctag(namedtuple('Doctag', 'offset, word_count, doc_count')):\\n \\\"\\\"\\\"A string document tag discovered during the initial vocabulary\\n scan. (The document-vector equivalent of a Vocab object.)\\n\\n Will not be used if all presented document tags are ints.\\n\\n The offset is only the true index into the doctags_syn0/doctags_syn0_lockf\\n if-and-only-if no raw-int tags were used. If any raw-int tags were used,\\n string Doctag vectors begin at index (max_rawint + 1), so the true index is\\n (rawint_index + 1 + offset). See also DocvecsArray.index_to_doctag().\\n \\\"\\\"\\\"\\n __slots__ = ()\\n\\n def repeat(self, word_count):\\n return self._replace(word_count=self.word_count + word_count, doc_count=self.doc_count + 1)\\n\\n\\nclass Doc2Vec(Word2Vec):\\n \\\"\\\"\\\"Class for training, using and evaluating neural networks described in http://arxiv.org/pdf/1405.4053v2.pdf\\\"\\\"\\\"\\n def __init__(self, documents=None, dm_mean=None,\\n dm=1, dbow_words=0, dm_concat=0, dm_tag_count=1,\\n docvecs=None, docvecs_mapfile=None, comment=None, trim_rule=None, **kwargs):\\n \\\"\\\"\\\"\\n Initialize the model from an iterable of `documents`. Each document is a\\n TaggedDocument object that will be used for training.\\n\\n The `documents` iterable can be simply a list of TaggedDocument elements, but for larger corpora,\\n consider an iterable that streams the documents directly from disk/network.\\n\\n If you don't supply `documents`, the model is left uninitialized -- use if\\n you plan to initialize it in some other way.\\n\\n `dm` defines the training algorithm. By default (`dm=1`), 'distributed memory' (PV-DM) is used.\\n Otherwise, `distributed bag of words` (PV-DBOW) is employed.\\n\\n `size` is the dimensionality of the feature vectors.\\n\\n `window` is the maximum distance between the predicted word and context words used for prediction\\n within a document.\\n\\n `alpha` is the initial learning rate (will linearly drop to zero as training progresses).\\n\\n `seed` = for the random number generator.\\n Note that for a fully deterministically-reproducible run, you must also limit the model to\\n a single worker thread, to eliminate ordering jitter from OS thread scheduling. (In Python\\n 3, reproducibility between interpreter launches also requires use of the PYTHONHASHSEED\\n environment variable to control hash randomization.)\\n\\n `min_count` = ignore all words with total frequency lower than this.\\n\\n `max_vocab_size` = limit RAM during vocabulary building; if there are more unique\\n words than this, then prune the infrequent ones. Every 10 million word types\\n need about 1GB of RAM. Set to `None` for no limit (default).\\n\\n `sample` = threshold for configuring which higher-frequency words are randomly downsampled;\\n default is 0 (off), useful value is 1e-5.\\n\\n `workers` = use this many worker threads to train the model (=faster training with multicore machines).\\n\\n `iter` = number of iterations (epochs) over the corpus. The default inherited from Word2Vec is 5,\\n but values of 10 or 20 are common in published 'Paragraph Vector' experiments.\\n\\n `hs` = if 1 (default), hierarchical sampling will be used for model training (else set to 0).\\n\\n `negative` = if > 0, negative sampling will be used, the int for negative\\n specifies how many \\\"noise words\\\" should be drawn (usually between 5-20).\\n\\n `dm_mean` = if 0 (default), use the sum of the context word vectors. If 1, use the mean.\\n Only applies when dm is used in non-concatenative mode.\\n\\n `dm_concat` = if 1, use concatenation of context vectors rather than sum/average;\\n default is 0 (off). Note concatenation results in a much-larger model, as the input\\n is no longer the size of one (sampled or arithmatically combined) word vector, but the\\n size of the tag(s) and all words in the context strung together.\\n\\n `dm_tag_count` = expected constant number of document tags per document, when using\\n dm_concat mode; default is 1.\\n\\n `dbow_words` if set to 1 trains word-vectors (in skip-gram fashion) simultaneous with DBOW\\n doc-vector training; default is 0 (faster training of doc-vectors only).\\n\\n `trim_rule` = vocabulary trimming rule, specifies whether certain words should remain\\n in the vocabulary, be trimmed away, or handled using the default (discard if word count < min_count).\\n Can be None (min_count will be used), or a callable that accepts parameters (word, count, min_count) and\\n returns either util.RULE_DISCARD, util.RULE_KEEP or util.RULE_DEFAULT.\\n Note: The rule, if given, is only used prune vocabulary during build_vocab() and is not stored as part\\n of the model.\\n\\n \\\"\\\"\\\"\\n\\n super(Doc2Vec, self).__init__(\\n sg=(1 + dm) % 2,\\n null_word=dm_concat, **kwargs)\\n \\n self.load = call_on_class_only\\n self.load_word2vec_format = call_on_class_only\\n\\n if dm_mean is not None:\\n self.cbow_mean = dm_mean\\n \\n self.dbow_words = dbow_words\\n self.dm_concat = dm_concat\\n self.dm_tag_count = dm_tag_count\\n if self.dm and self.dm_concat:\\n self.layer1_size = (self.dm_tag_count + (2 * self.window)) * self.vector_size\\n\\n self.docvecs = docvecs or DocvecsArray(docvecs_mapfile)\\n self.comment = comment\\n if documents is not None:\\n self.build_vocab(documents, trim_rule=trim_rule)\\n self.train(documents)\\n\\n @property\\n def dm(self):\\n return not self.sg # opposite of SG\\n\\n @property\\n def dbow(self):\\n return self.sg # same as SG\\n\\n def clear_sims(self):\\n super(Doc2Vec, self).clear_sims()\\n self.docvecs.clear_sims()\\n\\n def reset_weights(self):\\n if self.dm and self.dm_concat:\\n # expand l1 size to match concatenated tags+words length\\n self.layer1_size = (self.dm_tag_count + (2 * self.window)) * self.vector_size\\n logger.info(\\\"using concatenative %d-dimensional layer1\\\" % (self.layer1_size))\\n super(Doc2Vec, self).reset_weights()\\n self.docvecs.reset_weights(self)\\n\\n def reset_from(self, other_model):\\n \\\"\\\"\\\"Reuse shareable structures from other_model.\\\"\\\"\\\"\\n self.docvecs.borrow_from(other_model.docvecs)\\n super(Doc2Vec, self).reset_from(other_model)\\n\\n def scan_vocab(self, documents, progress_per=10000, trim_rule=None, update=False):\\n logger.info(\\\"collecting all words and their counts\\\")\\n document_no = -1\\n total_words = 0\\n min_reduce = 1\\n interval_start = default_timer() - 0.00001 # guard against next sample being identical\\n interval_count = 0\\n checked_string_types = 0\\n vocab = defaultdict(int)\\n for document_no, document in enumerate(documents):\\n if not checked_string_types:\\n if isinstance(document.words, string_types):\\n logger.warn(\\\"Each 'words' should be a list of words (usually unicode strings).\\\"\\n \\\"First 'words' here is instead plain %s.\\\" % type(document.words))\\n checked_string_types += 1\\n if document_no % progress_per == 0:\\n interval_rate = (total_words - interval_count) / (default_timer() - interval_start)\\n logger.info(\\\"PROGRESS: at example #%i, processed %i words (%i/s), %i word types, %i tags\\\",\\n document_no, total_words, interval_rate, len(vocab), len(self.docvecs))\\n interval_start = default_timer()\\n interval_count = total_words\\n document_length = len(document.words)\\n\\n for tag in document.tags:\\n self.docvecs.note_doctag(tag, document_no, document_length)\\n\\n for word in document.words:\\n vocab[word] += 1\\n total_words += len(document.words)\\n\\n if self.max_vocab_size and len(vocab) > self.max_vocab_size:\\n utils.prune_vocab(vocab, min_reduce, trim_rule=trim_rule)\\n min_reduce += 1\\n\\n logger.info(\\\"collected %i word types and %i unique tags from a corpus of %i examples and %i words\\\",\\n len(vocab), len(self.docvecs), document_no + 1, total_words)\\n self.corpus_count = document_no + 1\\n self.raw_vocab = vocab\\n\\n def _do_train_job(self, job, alpha, inits):\\n work, neu1 = inits\\n tally = 0\\n for doc in job:\\n indexed_doctags = self.docvecs.indexed_doctags(doc.tags)\\n doctag_indexes, doctag_vectors, doctag_locks, ignored = indexed_doctags\\n if self.sg:\\n tally += train_document_dbow(self, doc.words, doctag_indexes, alpha, work,\\n train_words=self.dbow_words,\\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\\n elif self.dm_concat:\\n tally += train_document_dm_concat(self, doc.words, doctag_indexes, alpha, work, neu1,\\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\\n else:\\n tally += train_document_dm(self, doc.words, doctag_indexes, alpha, work, neu1,\\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\\n self.docvecs.trained_item(indexed_doctags)\\n return tally, self._raw_word_count(job)\\n\\n def _raw_word_count(self, job):\\n \\\"\\\"\\\"Return the number of words in a given job.\\\"\\\"\\\"\\n return sum(len(sentence.words) for sentence in job)\\n\\n def infer_vector(self, doc_words, alpha=0.1, min_alpha=0.0001, steps=5):\\n \\\"\\\"\\\"\\n Infer a vector for given post-bulk training document.\\n\\n Document should be a list of (word) tokens.\\n \\\"\\\"\\\"\\n doctag_vectors = empty((1, self.vector_size), dtype=REAL)\\n doctag_vectors[0] = self.seeded_vector(' '.join(doc_words))\\n doctag_locks = ones(1, dtype=REAL)\\n doctag_indexes = [0]\\n\\n work = zeros(self.layer1_size, dtype=REAL)\\n if not self.sg:\\n neu1 = matutils.zeros_aligned(self.layer1_size, dtype=REAL)\\n\\n for i in range(steps):\\n if self.sg:\\n train_document_dbow(self, doc_words, doctag_indexes, alpha, work,\\n learn_words=False, learn_hidden=False,\\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\\n elif self.dm_concat:\\n train_document_dm_concat(self, doc_words, doctag_indexes, alpha, work, neu1,\\n learn_words=False, learn_hidden=False,\\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\\n else:\\n train_document_dm(self, doc_words, doctag_indexes, alpha, work, neu1,\\n learn_words=False, learn_hidden=False,\\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\\n alpha = ((alpha - min_alpha) / (steps - i)) + min_alpha\\n\\n return doctag_vectors[0]\\n\\n def estimate_memory(self, vocab_size=None, report=None):\\n \\\"\\\"\\\"Estimate required memory for a model using current settings.\\\"\\\"\\\"\\n report = report or {}\\n report['doctag_lookup'] = self.docvecs.estimated_lookup_memory()\\n report['doctag_syn0'] = self.docvecs.count * self.vector_size * dtype(REAL).itemsize\\n return super(Doc2Vec, self).estimate_memory(vocab_size, report=report)\\n\\n def __str__(self):\\n \\\"\\\"\\\"Abbreviated name reflecting major configuration paramaters.\\\"\\\"\\\"\\n segments = []\\n if self.comment:\\n segments.append('\\\"%s\\\"' % self.comment)\\n if self.sg:\\n if self.dbow_words:\\n segments.append('dbow+w') # also training words\\n else:\\n segments.append('dbow') # PV-DBOW (skip-gram-style)\\n\\n else: # PV-DM...\\n if self.dm_concat:\\n segments.append('dm/c') # ...with concatenative context layer\\n else:\\n if self.cbow_mean:\\n segments.append('dm/m')\\n else:\\n segments.append('dm/s')\\n segments.append('d%d' % self.vector_size) # dimensions\\n if self.negative:\\n segments.append('n%d' % self.negative) # negative samples\\n if self.hs:\\n segments.append('hs')\\n if not self.sg or (self.sg and self.dbow_words):\\n segments.append('w%d' % self.window) # window size, when relevant\\n if self.min_count > 1:\\n segments.append('mc%d' % self.min_count)\\n if self.sample > 0:\\n segments.append('s%g' % self.sample)\\n if self.workers > 1:\\n segments.append('t%d' % self.workers)\\n return '%s(%s)' % (self.__class__.__name__, ','.join(segments))\\n\\n def delete_temporary_training_data(self, keep_doctags_vectors=True, keep_inference=True):\\n \\\"\\\"\\\"\\n Discard parameters that are used in training and score. Use if you're sure you're done training a model.\\n Set `keep_doctags_vectors` to False if you don't want to save doctags vectors,\\n in this case you can't to use docvecs's most_similar, similarity etc. methods.\\n Set `keep_inference` to False if you don't want to store parameters that is used for infer_vector method\\n \\\"\\\"\\\"\\n if not keep_inference:\\n self._minimize_model(False, False, False)\\n if self.docvecs and hasattr(self.docvecs, 'doctag_syn0') and not keep_doctags_vectors:\\n del self.docvecs.doctag_syn0\\n if self.docvecs and hasattr(self.docvecs, 'doctag_syn0_lockf'):\\n del self.docvecs.doctag_syn0_lockf\\n\\nclass TaggedBrownCorpus(object):\\n \\\"\\\"\\\"Iterate over documents from the Brown corpus (part of NLTK data), yielding\\n each document out as a TaggedDocument object.\\\"\\\"\\\"\\n def __init__(self, dirname):\\n self.dirname = dirname\\n\\n def __iter__(self):\\n for fname in os.listdir(self.dirname):\\n fname = os.path.join(self.dirname, fname)\\n if not os.path.isfile(fname):\\n continue\\n for item_no, line in enumerate(utils.smart_open(fname)):\\n line = utils.to_unicode(line)\\n # each file line is a single document in the Brown corpus\\n # each token is WORD/POS_TAG\\n token_tags = [t.split('/') for t in line.split() if len(t.split('/')) == 2]\\n # ignore words with non-alphabetic tags like \\\",\\\", \\\"!\\\" etc (punctuation, weird stuff)\\n words = [\\\"%s/%s\\\" % (token.lower(), tag[:2]) for token, tag in token_tags if tag[:2].isalpha()]\\n if not words: # don't bother sending out empty documents\\n continue\\n yield TaggedDocument(words, ['%s_SENT_%s' % (fname, item_no)])\\n\\n\\nclass TaggedLineDocument(object):\\n \\\"\\\"\\\"Simple format: one document = one line = one TaggedDocument object.\\n\\n Words are expected to be already preprocessed and separated by whitespace,\\n tags are constructed automatically from the document line number.\\\"\\\"\\\"\\n def __init__(self, source):\\n \\\"\\\"\\\"\\n `source` can be either a string (filename) or a file object.\\n\\n Example::\\n\\n documents = TaggedLineDocument('myfile.txt')\\n\\n Or for compressed files::\\n\\n documents = TaggedLineDocument('compressed_text.txt.bz2')\\n documents = TaggedLineDocument('compressed_text.txt.gz')\\n\\n \\\"\\\"\\\"\\n self.source = source\\n\\n def __iter__(self):\\n \\\"\\\"\\\"Iterate through the lines in the source.\\\"\\\"\\\"\\n try:\\n # Assume it is a file-like object and try treating it as such\\n # Things that don't have seek will trigger an exception\\n self.source.seek(0)\\n for item_no, line in enumerate(self.source):\\n yield TaggedDocument(utils.to_unicode(line).split(), [item_no])\\n except AttributeError:\\n # If it didn't work like a file, use it as a string filename\\n with utils.smart_open(self.source) as fin:\\n for item_no, line in enumerate(fin):\\n yield TaggedDocument(utils.to_unicode(line).split(), [item_no])\\n\",\n \"path\": \"gensim/models/doc2vec.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n#\n# Copyright (C) 2013 Radim Rehurek <me@radimrehurek.com>\n# Licensed under the GNU LGPL v2.1 - http://www.gnu.org/licenses/lgpl.html\n\n\n\"\"\"\nDeep learning via the distributed memory and distributed bag of words models from\n[1]_, using either hierarchical softmax or negative sampling [2]_ [3]_.\n\n**Make sure you have a C compiler before installing gensim, to use optimized (compiled)\ndoc2vec training** (70x speedup [blog]_).\n\nInitialize a model with e.g.::\n\n>>> model = Doc2Vec(documents, size=100, window=8, min_count=5, workers=4)\n\nPersist a model to disk with::\n\n>>> model.save(fname)\n>>> model = Doc2Vec.load(fname) # you can continue training with the loaded model!\n\nThe model can also be instantiated from an existing file on disk in the word2vec C format::\n\n >>> model = Doc2Vec.load_word2vec_format('/tmp/vectors.txt', binary=False) # C text format\n >>> model = Doc2Vec.load_word2vec_format('/tmp/vectors.bin', binary=True) # C binary format\n\n.. [1] Quoc Le and Tomas Mikolov. Distributed Representations of Sentences and Documents. http://arxiv.org/pdf/1405.4053v2.pdf\n.. [2] Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient Estimation of Word Representations in Vector Space. In Proceedings of Workshop at ICLR, 2013.\n.. [3] Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. Distributed Representations of Words and Phrases and their Compositionality.\n In Proceedings of NIPS, 2013.\n.. [blog] Optimizing word2vec in gensim, http://radimrehurek.com/2013/09/word2vec-in-python-part-two-optimizing/\n\n\"\"\"\n\nimport logging\nimport os\nimport warnings\n\ntry:\n from queue import Queue\nexcept ImportError:\n from Queue import Queue\n\nfrom collections import namedtuple, defaultdict\nfrom timeit import default_timer\n\nfrom numpy import zeros, random, sum as np_sum, add as np_add, concatenate, \\\n repeat as np_repeat, array, float32 as REAL, empty, ones, memmap as np_memmap, \\\n sqrt, newaxis, ndarray, dot, vstack, dtype, divide as np_divide\n\n\nfrom gensim.utils import call_on_class_only\nfrom gensim import utils, matutils # utility fnc for pickling, common scipy operations etc\nfrom gensim.models.word2vec import Word2Vec, Vocab, train_cbow_pair, train_sg_pair, train_batch_sg\nfrom six.moves import xrange, zip\nfrom six import string_types, integer_types, itervalues\n\nlogger = logging.getLogger(__name__)\n\ntry:\n from gensim.models.doc2vec_inner import train_document_dbow, train_document_dm, train_document_dm_concat\n from gensim.models.word2vec_inner import FAST_VERSION # blas-adaptation shared from word2vec\n logger.debug('Fast version of {0} is being used'.format(__name__))\nexcept ImportError:\n logger.warning('Slow version of {0} is being used'.format(__name__))\n # failed... fall back to plain numpy (20-80x slower training than the above)\n FAST_VERSION = -1\n\n def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,\n train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,\n word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):\n \"\"\"\n Update distributed bag of words model (\"PV-DBOW\") by training on a single document.\n\n Called internally from `Doc2Vec.train()` and `Doc2Vec.infer_vector()`.\n\n The document is provided as `doc_words`, a list of word tokens which are looked up\n in the model's vocab dictionary, and `doctag_indexes`, which provide indexes\n into the doctag_vectors array.\n\n If `train_words` is True, simultaneously train word-to-word (not just doc-to-word)\n examples, exactly as per Word2Vec skip-gram training. (Without this option,\n word vectors are neither consulted nor updated during DBOW doc vector training.)\n\n Any of `learn_doctags', `learn_words`, and `learn_hidden` may be set False to\n prevent learning-updates to those respective model weights, as if using the\n (partially-)frozen model to infer other compatible vectors.\n\n This is the non-optimized, Python version. If you have cython installed, gensim\n will use the optimized version from doc2vec_inner instead.\n\n \"\"\"\n if doctag_vectors is None:\n doctag_vectors = model.docvecs.doctag_syn0\n if doctag_locks is None:\n doctag_locks = model.docvecs.doctag_syn0_lockf\n\n if train_words and learn_words:\n train_batch_sg(model, [doc_words], alpha, work)\n for doctag_index in doctag_indexes:\n for word in doc_words:\n train_sg_pair(model, word, doctag_index, alpha, learn_vectors=learn_doctags,\n learn_hidden=learn_hidden, context_vectors=doctag_vectors,\n context_locks=doctag_locks)\n\n return len(doc_words)\n\n def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,\n learn_doctags=True, learn_words=True, learn_hidden=True,\n word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):\n \"\"\"\n Update distributed memory model (\"PV-DM\") by training on a single document.\n\n Called internally from `Doc2Vec.train()` and `Doc2Vec.infer_vector()`. This\n method implements the DM model with a projection (input) layer that is\n either the sum or mean of the context vectors, depending on the model's\n `dm_mean` configuration field. See `train_document_dm_concat()` for the DM\n model with a concatenated input layer.\n\n The document is provided as `doc_words`, a list of word tokens which are looked up\n in the model's vocab dictionary, and `doctag_indexes`, which provide indexes\n into the doctag_vectors array.\n\n Any of `learn_doctags', `learn_words`, and `learn_hidden` may be set False to\n prevent learning-updates to those respective model weights, as if using the\n (partially-)frozen model to infer other compatible vectors.\n\n This is the non-optimized, Python version. If you have a C compiler, gensim\n will use the optimized version from doc2vec_inner instead.\n\n \"\"\"\n if word_vectors is None:\n word_vectors = model.wv.syn0\n if word_locks is None:\n word_locks = model.syn0_lockf\n if doctag_vectors is None:\n doctag_vectors = model.docvecs.doctag_syn0\n if doctag_locks is None:\n doctag_locks = model.docvecs.doctag_syn0_lockf\n\n word_vocabs = [model.wv.vocab[w] for w in doc_words if w in model.wv.vocab and\n model.wv.vocab[w].sample_int > model.random.rand() * 2**32]\n\n for pos, word in enumerate(word_vocabs):\n reduced_window = model.random.randint(model.window) # `b` in the original doc2vec code\n start = max(0, pos - model.window + reduced_window)\n window_pos = enumerate(word_vocabs[start:(pos + model.window + 1 - reduced_window)], start)\n word2_indexes = [word2.index for pos2, word2 in window_pos if pos2 != pos]\n l1 = np_sum(word_vectors[word2_indexes], axis=0) + np_sum(doctag_vectors[doctag_indexes], axis=0)\n count = len(word2_indexes) + len(doctag_indexes)\n if model.cbow_mean and count > 1 :\n l1 /= count\n neu1e = train_cbow_pair(model, word, word2_indexes, l1, alpha,\n learn_vectors=False, learn_hidden=learn_hidden)\n if not model.cbow_mean and count > 1:\n neu1e /= count\n if learn_doctags:\n for i in doctag_indexes:\n doctag_vectors[i] += neu1e * doctag_locks[i]\n if learn_words:\n for i in word2_indexes:\n word_vectors[i] += neu1e * word_locks[i]\n\n return len(word_vocabs)\n\n def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,\n learn_doctags=True, learn_words=True, learn_hidden=True,\n word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):\n \"\"\"\n Update distributed memory model (\"PV-DM\") by training on a single document, using a\n concatenation of the context window word vectors (rather than a sum or average).\n\n Called internally from `Doc2Vec.train()` and `Doc2Vec.infer_vector()`.\n\n The document is provided as `doc_words`, a list of word tokens which are looked up\n in the model's vocab dictionary, and `doctag_indexes`, which provide indexes\n into the doctag_vectors array.\n\n Any of `learn_doctags', `learn_words`, and `learn_hidden` may be set False to\n prevent learning-updates to those respective model weights, as if using the\n (partially-)frozen model to infer other compatible vectors.\n\n This is the non-optimized, Python version. If you have a C compiler, gensim\n will use the optimized version from doc2vec_inner instead.\n\n \"\"\"\n if word_vectors is None:\n word_vectors = model.wv.syn0\n if word_locks is None:\n word_locks = model.syn0_lockf\n if doctag_vectors is None:\n doctag_vectors = model.docvecs.doctag_syn0\n if doctag_locks is None:\n doctag_locks = model.docvecs.doctag_syn0_lockf\n\n word_vocabs = [model.wv.vocab[w] for w in doc_words if w in model.wv.vocab and\n model.wv.vocab[w].sample_int > model.random.rand() * 2**32]\n doctag_len = len(doctag_indexes)\n if doctag_len != model.dm_tag_count:\n return 0 # skip doc without expected number of doctag(s) (TODO: warn/pad?)\n\n null_word = model.wv.vocab['\\0']\n pre_pad_count = model.window\n post_pad_count = model.window\n padded_document_indexes = (\n (pre_pad_count * [null_word.index]) # pre-padding\n + [word.index for word in word_vocabs if word is not None] # elide out-of-Vocabulary words\n + (post_pad_count * [null_word.index]) # post-padding\n )\n\n for pos in range(pre_pad_count, len(padded_document_indexes) - post_pad_count):\n word_context_indexes = (\n padded_document_indexes[(pos - pre_pad_count): pos] # preceding words\n + padded_document_indexes[(pos + 1):(pos + 1 + post_pad_count)] # following words\n )\n word_context_len = len(word_context_indexes)\n predict_word = model.wv.vocab[model.wv.index2word[padded_document_indexes[pos]]]\n # numpy advanced-indexing copies; concatenate, flatten to 1d\n l1 = concatenate((doctag_vectors[doctag_indexes], word_vectors[word_context_indexes])).ravel()\n neu1e = train_cbow_pair(model, predict_word, None, l1, alpha,\n learn_hidden=learn_hidden, learn_vectors=False)\n\n # filter by locks and shape for addition to source vectors\n e_locks = concatenate((doctag_locks[doctag_indexes], word_locks[word_context_indexes]))\n neu1e_r = (neu1e.reshape(-1, model.vector_size)\n * np_repeat(e_locks, model.vector_size).reshape(-1, model.vector_size))\n\n if learn_doctags:\n np_add.at(doctag_vectors, doctag_indexes, neu1e_r[:doctag_len])\n if learn_words:\n np_add.at(word_vectors, word_context_indexes, neu1e_r[doctag_len:])\n\n return len(padded_document_indexes) - pre_pad_count - post_pad_count\n\n\nclass TaggedDocument(namedtuple('TaggedDocument', 'words tags')):\n \"\"\"\n A single document, made up of `words` (a list of unicode string tokens)\n and `tags` (a list of tokens). Tags may be one or more unicode string\n tokens, but typical practice (which will also be most memory-efficient) is\n for the tags list to include a unique integer id as the only tag.\n\n Replaces \"sentence as a list of words\" from Word2Vec.\n\n \"\"\"\n def __str__(self):\n return '%s(%s, %s)' % (self.__class__.__name__, self.words, self.tags)\n\n\n# for compatibility\nclass LabeledSentence(TaggedDocument):\n def __init__(self, *args, **kwargs):\n warnings.warn('LabeledSentence has been replaced by TaggedDocument', DeprecationWarning)\n\n\nclass DocvecsArray(utils.SaveLoad):\n \"\"\"\n Default storage of doc vectors during/after training, in a numpy array.\n\n As the 'docvecs' property of a Doc2Vec model, allows access and\n comparison of document vectors.\n\n >>> docvec = d2v_model.docvecs[99]\n >>> docvec = d2v_model.docvecs['SENT_99'] # if string tag used in training\n >>> sims = d2v_model.docvecs.most_similar(99)\n >>> sims = d2v_model.docvecs.most_similar('SENT_99')\n >>> sims = d2v_model.docvecs.most_similar(docvec)\n\n If only plain int tags are presented during training, the dict (of\n string tag -> index) and list (of index -> string tag) stay empty,\n saving memory.\n\n Supplying a mapfile_path (as by initializing a Doc2Vec model with a\n 'docvecs_mapfile' value) will use a pair of memory-mapped\n files as the array backing for doctag_syn0/doctag_syn0_lockf values.\n\n The Doc2Vec model automatically uses this class, but a future alternative\n implementation, based on another persistence mechanism like LMDB, LevelDB,\n or SQLite, should also be possible.\n \"\"\"\n def __init__(self, mapfile_path=None):\n self.doctags = {} # string -> Doctag (only filled if necessary)\n self.max_rawint = -1 # highest rawint-indexed doctag\n self.offset2doctag = [] # int offset-past-(max_rawint+1) -> String (only filled if necessary)\n self.count = 0\n self.mapfile_path = mapfile_path\n\n def note_doctag(self, key, document_no, document_length):\n \"\"\"Note a document tag during initial corpus scan, for structure sizing.\"\"\"\n if isinstance(key, int):\n self.max_rawint = max(self.max_rawint, key)\n else:\n if key in self.doctags:\n self.doctags[key] = self.doctags[key].repeat(document_length)\n else:\n self.doctags[key] = Doctag(len(self.offset2doctag), document_length, 1)\n self.offset2doctag.append(key)\n self.count = self.max_rawint + 1 + len(self.offset2doctag)\n\n def indexed_doctags(self, doctag_tokens):\n \"\"\"Return indexes and backing-arrays used in training examples.\"\"\"\n return ([self._int_index(index) for index in doctag_tokens if index in self],\n self.doctag_syn0, self.doctag_syn0_lockf, doctag_tokens)\n\n def trained_item(self, indexed_tuple):\n \"\"\"Persist any changes made to the given indexes (matching tuple previously\n returned by indexed_doctags()); a no-op for this implementation\"\"\"\n pass\n\n def _int_index(self, index):\n \"\"\"Return int index for either string or int index\"\"\"\n if isinstance(index, int):\n return index\n else:\n return self.max_rawint + 1 + self.doctags[index].offset\n\n def _key_index(self, i_index, missing=None):\n \"\"\"Return string index for given int index, if available\"\"\"\n warnings.warn(\"use DocvecsArray.index_to_doctag\", DeprecationWarning)\n return self.index_to_doctag(i_index)\n\n def index_to_doctag(self, i_index):\n \"\"\"Return string key for given i_index, if available. Otherwise return raw int doctag (same int).\"\"\"\n candidate_offset = i_index - self.max_rawint - 1\n if 0 <= candidate_offset < len(self.offset2doctag):\n return self.offset2doctag[candidate_offset]\n else:\n return i_index\n\n def __getitem__(self, index):\n \"\"\"\n Accept a single key (int or string tag) or list of keys as input.\n\n If a single string or int, return designated tag's vector\n representation, as a 1D numpy array.\n\n If a list, return designated tags' vector representations as a\n 2D numpy array: #tags x #vector_size.\n \"\"\"\n if isinstance(index, string_types + (int,)):\n return self.doctag_syn0[self._int_index(index)]\n\n return vstack([self[i] for i in index])\n\n def __len__(self):\n return self.count\n\n def __contains__(self, index):\n if isinstance(index, int):\n return index < self.count\n else:\n return index in self.doctags\n\n def save(self, *args, **kwargs):\n # don't bother storing the cached normalized vectors\n kwargs['ignore'] = kwargs.get('ignore', ['syn0norm'])\n super(DocvecsArray, self).save(*args, **kwargs)\n\n def borrow_from(self, other_docvecs):\n self.count = other_docvecs.count\n self.doctags = other_docvecs.doctags\n self.offset2doctag = other_docvecs.offset2doctag\n\n def clear_sims(self):\n self.doctag_syn0norm = None\n\n def estimated_lookup_memory(self):\n \"\"\"Estimated memory for tag lookup; 0 if using pure int tags.\"\"\"\n return 60 * len(self.offset2doctag) + 140 * len(self.doctags)\n\n def reset_weights(self, model):\n length = max(len(self.doctags), self.count)\n if self.mapfile_path:\n self.doctag_syn0 = np_memmap(self.mapfile_path+'.doctag_syn0', dtype=REAL,\n mode='w+', shape=(length, model.vector_size))\n self.doctag_syn0_lockf = np_memmap(self.mapfile_path+'.doctag_syn0_lockf', dtype=REAL,\n mode='w+', shape=(length,))\n self.doctag_syn0_lockf.fill(1.0)\n else:\n self.doctag_syn0 = empty((length, model.vector_size), dtype=REAL)\n self.doctag_syn0_lockf = ones((length,), dtype=REAL) # zeros suppress learning\n\n for i in xrange(length):\n # construct deterministic seed from index AND model seed\n seed = \"%d %s\" % (model.seed, self.index_to_doctag(i))\n self.doctag_syn0[i] = model.seeded_vector(seed)\n\n def init_sims(self, replace=False):\n \"\"\"\n Precompute L2-normalized vectors.\n\n If `replace` is set, forget the original vectors and only keep the normalized\n ones = saves lots of memory!\n\n Note that you **cannot continue training or inference** after doing a replace.\n The model becomes effectively read-only = you can call `most_similar`, `similarity`\n etc., but not `train` or `infer_vector`.\n\n \"\"\"\n if getattr(self, 'doctag_syn0norm', None) is None or replace:\n logger.info(\"precomputing L2-norms of doc weight vectors\")\n if replace:\n for i in xrange(self.doctag_syn0.shape[0]):\n self.doctag_syn0[i, :] /= sqrt((self.doctag_syn0[i, :] ** 2).sum(-1))\n self.doctag_syn0norm = self.doctag_syn0\n else:\n if self.mapfile_path:\n self.doctag_syn0norm = np_memmap(\n self.mapfile_path+'.doctag_syn0norm', dtype=REAL,\n mode='w+', shape=self.doctag_syn0.shape)\n else:\n self.doctag_syn0norm = empty(self.doctag_syn0.shape, dtype=REAL)\n np_divide(self.doctag_syn0, sqrt((self.doctag_syn0 ** 2).sum(-1))[..., newaxis], self.doctag_syn0norm)\n\n def most_similar(self, positive=[], negative=[], topn=10, clip_start=0, clip_end=None, indexer=None):\n \"\"\"\n Find the top-N most similar docvecs known from training. Positive docs contribute\n positively towards the similarity, negative docs negatively.\n\n This method computes cosine similarity between a simple mean of the projection\n weight vectors of the given docs. Docs may be specified as vectors, integer indexes\n of trained docvecs, or if the documents were originally presented with string tags,\n by the corresponding tags.\n\n The 'clip_start' and 'clip_end' allow limiting results to a particular contiguous\n range of the underlying doctag_syn0norm vectors. (This may be useful if the ordering\n there was chosen to be significant, such as more popular tag IDs in lower indexes.)\n \"\"\"\n self.init_sims()\n clip_end = clip_end or len(self.doctag_syn0norm)\n\n if isinstance(positive, string_types + integer_types) and not negative:\n # allow calls like most_similar('dog'), as a shorthand for most_similar(['dog'])\n positive = [positive]\n\n # add weights for each doc, if not already present; default to 1.0 for positive and -1.0 for negative docs\n positive = [\n (doc, 1.0) if isinstance(doc, string_types + (ndarray,) + integer_types)\n else doc for doc in positive\n ]\n negative = [\n (doc, -1.0) if isinstance(doc, string_types + (ndarray,) + integer_types)\n else doc for doc in negative\n ]\n\n # compute the weighted average of all docs\n all_docs, mean = set(), []\n for doc, weight in positive + negative:\n if isinstance(doc, ndarray):\n mean.append(weight * doc)\n elif doc in self.doctags or doc < self.count:\n mean.append(weight * self.doctag_syn0norm[self._int_index(doc)])\n all_docs.add(self._int_index(doc))\n else:\n raise KeyError(\"doc '%s' not in trained set\" % doc)\n if not mean:\n raise ValueError(\"cannot compute similarity with no input\")\n mean = matutils.unitvec(array(mean).mean(axis=0)).astype(REAL)\n\n if indexer is not None:\n return indexer.most_similar(mean, topn)\n\n dists = dot(self.doctag_syn0norm[clip_start:clip_end], mean)\n if not topn:\n return dists\n best = matutils.argsort(dists, topn=topn + len(all_docs), reverse=True)\n # ignore (don't return) docs from the input\n result = [(self.index_to_doctag(sim + clip_start), float(dists[sim])) for sim in best if (sim + clip_start) not in all_docs]\n return result[:topn]\n\n def doesnt_match(self, docs):\n \"\"\"\n Which doc from the given list doesn't go with the others?\n\n (TODO: Accept vectors of out-of-training-set docs, as if from inference.)\n\n \"\"\"\n self.init_sims()\n\n docs = [doc for doc in docs if doc in self.doctags or 0 <= doc < self.count] # filter out unknowns\n logger.debug(\"using docs %s\" % docs)\n if not docs:\n raise ValueError(\"cannot select a doc from an empty list\")\n vectors = vstack(self.doctag_syn0norm[self._int_index(doc)] for doc in docs).astype(REAL)\n mean = matutils.unitvec(vectors.mean(axis=0)).astype(REAL)\n dists = dot(vectors, mean)\n return sorted(zip(dists, docs))[0][1]\n\n def similarity(self, d1, d2):\n \"\"\"\n Compute cosine similarity between two docvecs in the trained set, specified by int index or\n string tag. (TODO: Accept vectors of out-of-training-set docs, as if from inference.)\n\n \"\"\"\n return dot(matutils.unitvec(self[d1]), matutils.unitvec(self[d2]))\n\n def n_similarity(self, ds1, ds2):\n \"\"\"\n Compute cosine similarity between two sets of docvecs from the trained set, specified by int\n index or string tag. (TODO: Accept vectors of out-of-training-set docs, as if from inference.)\n\n \"\"\"\n v1 = [self[doc] for doc in ds1]\n v2 = [self[doc] for doc in ds2]\n return dot(matutils.unitvec(array(v1).mean(axis=0)), matutils.unitvec(array(v2).mean(axis=0)))\n\n def similarity_unseen_docs(self, model, doc_words1, doc_words2, alpha=0.1, min_alpha=0.0001, steps=5):\n \"\"\"\n Compute cosine similarity between two post-bulk out of training documents.\n\n Document should be a list of (word) tokens.\n \"\"\"\n d1 = model.infer_vector(doc_words=doc_words1, alpha=alpha, min_alpha=min_alpha, steps=steps)\n d2 = model.infer_vector(doc_words=doc_words2, alpha=alpha, min_alpha=min_alpha, steps=steps)\n return dot(matutils.unitvec(d1), matutils.unitvec(d2))\n\n\nclass Doctag(namedtuple('Doctag', 'offset, word_count, doc_count')):\n \"\"\"A string document tag discovered during the initial vocabulary\n scan. (The document-vector equivalent of a Vocab object.)\n\n Will not be used if all presented document tags are ints.\n\n The offset is only the true index into the doctags_syn0/doctags_syn0_lockf\n if-and-only-if no raw-int tags were used. If any raw-int tags were used,\n string Doctag vectors begin at index (max_rawint + 1), so the true index is\n (rawint_index + 1 + offset). See also DocvecsArray.index_to_doctag().\n \"\"\"\n __slots__ = ()\n\n def repeat(self, word_count):\n return self._replace(word_count=self.word_count + word_count, doc_count=self.doc_count + 1)\n\n\nclass Doc2Vec(Word2Vec):\n \"\"\"Class for training, using and evaluating neural networks described in http://arxiv.org/pdf/1405.4053v2.pdf\"\"\"\n def __init__(self, documents=None, dm_mean=None,\n dm=1, dbow_words=0, dm_concat=0, dm_tag_count=1,\n docvecs=None, docvecs_mapfile=None, comment=None, trim_rule=None, **kwargs):\n \"\"\"\n Initialize the model from an iterable of `documents`. Each document is a\n TaggedDocument object that will be used for training.\n\n The `documents` iterable can be simply a list of TaggedDocument elements, but for larger corpora,\n consider an iterable that streams the documents directly from disk/network.\n\n If you don't supply `documents`, the model is left uninitialized -- use if\n you plan to initialize it in some other way.\n\n `dm` defines the training algorithm. By default (`dm=1`), 'distributed memory' (PV-DM) is used.\n Otherwise, `distributed bag of words` (PV-DBOW) is employed.\n\n `size` is the dimensionality of the feature vectors.\n\n `window` is the maximum distance between the predicted word and context words used for prediction\n within a document.\n\n `alpha` is the initial learning rate (will linearly drop to zero as training progresses).\n\n `seed` = for the random number generator.\n Note that for a fully deterministically-reproducible run, you must also limit the model to\n a single worker thread, to eliminate ordering jitter from OS thread scheduling. (In Python\n 3, reproducibility between interpreter launches also requires use of the PYTHONHASHSEED\n environment variable to control hash randomization.)\n\n `min_count` = ignore all words with total frequency lower than this.\n\n `max_vocab_size` = limit RAM during vocabulary building; if there are more unique\n words than this, then prune the infrequent ones. Every 10 million word types\n need about 1GB of RAM. Set to `None` for no limit (default).\n\n `sample` = threshold for configuring which higher-frequency words are randomly downsampled;\n default is 0 (off), useful value is 1e-5.\n\n `workers` = use this many worker threads to train the model (=faster training with multicore machines).\n\n `iter` = number of iterations (epochs) over the corpus. The default inherited from Word2Vec is 5,\n but values of 10 or 20 are common in published 'Paragraph Vector' experiments.\n\n `hs` = if 1 (default), hierarchical sampling will be used for model training (else set to 0).\n\n `negative` = if > 0, negative sampling will be used, the int for negative\n specifies how many \"noise words\" should be drawn (usually between 5-20).\n\n `dm_mean` = if 0 (default), use the sum of the context word vectors. If 1, use the mean.\n Only applies when dm is used in non-concatenative mode.\n\n `dm_concat` = if 1, use concatenation of context vectors rather than sum/average;\n default is 0 (off). Note concatenation results in a much-larger model, as the input\n is no longer the size of one (sampled or arithmatically combined) word vector, but the\n size of the tag(s) and all words in the context strung together.\n\n `dm_tag_count` = expected constant number of document tags per document, when using\n dm_concat mode; default is 1.\n\n `dbow_words` if set to 1 trains word-vectors (in skip-gram fashion) simultaneous with DBOW\n doc-vector training; default is 0 (faster training of doc-vectors only).\n\n `trim_rule` = vocabulary trimming rule, specifies whether certain words should remain\n in the vocabulary, be trimmed away, or handled using the default (discard if word count < min_count).\n Can be None (min_count will be used), or a callable that accepts parameters (word, count, min_count) and\n returns either util.RULE_DISCARD, util.RULE_KEEP or util.RULE_DEFAULT.\n Note: The rule, if given, is only used prune vocabulary during build_vocab() and is not stored as part\n of the model.\n\n \"\"\"\n\n super(Doc2Vec, self).__init__(\n sg=(1 + dm) % 2,\n null_word=dm_concat, **kwargs)\n \n self.load = call_on_class_only\n self.load_word2vec_format = call_on_class_only\n\n if dm_mean is not None:\n self.cbow_mean = dm_mean\n \n self.dbow_words = dbow_words\n self.dm_concat = dm_concat\n self.dm_tag_count = dm_tag_count\n if self.dm and self.dm_concat:\n self.layer1_size = (self.dm_tag_count + (2 * self.window)) * self.vector_size\n\n self.docvecs = docvecs or DocvecsArray(docvecs_mapfile)\n self.comment = comment\n if documents is not None:\n self.build_vocab(documents, trim_rule=trim_rule)\n self.train(documents)\n\n @property\n def dm(self):\n return not self.sg # opposite of SG\n\n @property\n def dbow(self):\n return self.sg # same as SG\n\n def clear_sims(self):\n super(Doc2Vec, self).clear_sims()\n self.docvecs.clear_sims()\n\n def reset_weights(self):\n if self.dm and self.dm_concat:\n # expand l1 size to match concatenated tags+words length\n self.layer1_size = (self.dm_tag_count + (2 * self.window)) * self.vector_size\n logger.info(\"using concatenative %d-dimensional layer1\" % (self.layer1_size))\n super(Doc2Vec, self).reset_weights()\n self.docvecs.reset_weights(self)\n\n def reset_from(self, other_model):\n \"\"\"Reuse shareable structures from other_model.\"\"\"\n self.docvecs.borrow_from(other_model.docvecs)\n super(Doc2Vec, self).reset_from(other_model)\n\n def scan_vocab(self, documents, progress_per=10000, trim_rule=None, update=False):\n logger.info(\"collecting all words and their counts\")\n document_no = -1\n total_words = 0\n min_reduce = 1\n interval_start = default_timer() - 0.00001 # guard against next sample being identical\n interval_count = 0\n checked_string_types = 0\n vocab = defaultdict(int)\n for document_no, document in enumerate(documents):\n if not checked_string_types:\n if isinstance(document.words, string_types):\n logger.warn(\"Each 'words' should be a list of words (usually unicode strings).\"\n \"First 'words' here is instead plain %s.\" % type(document.words))\n checked_string_types += 1\n if document_no % progress_per == 0:\n interval_rate = (total_words - interval_count) / (default_timer() - interval_start)\n logger.info(\"PROGRESS: at example #%i, processed %i words (%i/s), %i word types, %i tags\",\n document_no, total_words, interval_rate, len(vocab), len(self.docvecs))\n interval_start = default_timer()\n interval_count = total_words\n document_length = len(document.words)\n\n for tag in document.tags:\n self.docvecs.note_doctag(tag, document_no, document_length)\n\n for word in document.words:\n vocab[word] += 1\n total_words += len(document.words)\n\n if self.max_vocab_size and len(vocab) > self.max_vocab_size:\n utils.prune_vocab(vocab, min_reduce, trim_rule=trim_rule)\n min_reduce += 1\n\n logger.info(\"collected %i word types and %i unique tags from a corpus of %i examples and %i words\",\n len(vocab), len(self.docvecs), document_no + 1, total_words)\n self.corpus_count = document_no + 1\n self.raw_vocab = vocab\n\n def _do_train_job(self, job, alpha, inits):\n work, neu1 = inits\n tally = 0\n for doc in job:\n indexed_doctags = self.docvecs.indexed_doctags(doc.tags)\n doctag_indexes, doctag_vectors, doctag_locks, ignored = indexed_doctags\n if self.sg:\n tally += train_document_dbow(self, doc.words, doctag_indexes, alpha, work,\n train_words=self.dbow_words,\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\n elif self.dm_concat:\n tally += train_document_dm_concat(self, doc.words, doctag_indexes, alpha, work, neu1,\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\n else:\n tally += train_document_dm(self, doc.words, doctag_indexes, alpha, work, neu1,\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\n self.docvecs.trained_item(indexed_doctags)\n return tally, self._raw_word_count(job)\n\n def _raw_word_count(self, job):\n \"\"\"Return the number of words in a given job.\"\"\"\n return sum(len(sentence.words) for sentence in job)\n\n def infer_vector(self, doc_words, alpha=0.1, min_alpha=0.0001, steps=5):\n \"\"\"\n Infer a vector for given post-bulk training document.\n\n Document should be a list of (word) tokens.\n \"\"\"\n doctag_vectors = empty((1, self.vector_size), dtype=REAL)\n doctag_vectors[0] = self.seeded_vector(' '.join(doc_words))\n doctag_locks = ones(1, dtype=REAL)\n doctag_indexes = [0]\n\n work = zeros(self.layer1_size, dtype=REAL)\n if not self.sg:\n neu1 = matutils.zeros_aligned(self.layer1_size, dtype=REAL)\n\n for i in range(steps):\n if self.sg:\n train_document_dbow(self, doc_words, doctag_indexes, alpha, work,\n learn_words=False, learn_hidden=False,\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\n elif self.dm_concat:\n train_document_dm_concat(self, doc_words, doctag_indexes, alpha, work, neu1,\n learn_words=False, learn_hidden=False,\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\n else:\n train_document_dm(self, doc_words, doctag_indexes, alpha, work, neu1,\n learn_words=False, learn_hidden=False,\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\n alpha = ((alpha - min_alpha) / (steps - i)) + min_alpha\n\n return doctag_vectors[0]\n\n def estimate_memory(self, vocab_size=None, report=None):\n \"\"\"Estimate required memory for a model using current settings.\"\"\"\n report = report or {}\n report['doctag_lookup'] = self.docvecs.estimated_lookup_memory()\n report['doctag_syn0'] = self.docvecs.count * self.vector_size * dtype(REAL).itemsize\n return super(Doc2Vec, self).estimate_memory(vocab_size, report=report)\n\n def __str__(self):\n \"\"\"Abbreviated name reflecting major configuration paramaters.\"\"\"\n segments = []\n if self.comment:\n segments.append('\"%s\"' % self.comment)\n if self.sg:\n if self.dbow_words:\n segments.append('dbow+w') # also training words\n else:\n segments.append('dbow') # PV-DBOW (skip-gram-style)\n\n else: # PV-DM...\n if self.dm_concat:\n segments.append('dm/c') # ...with concatenative context layer\n else:\n if self.cbow_mean:\n segments.append('dm/m')\n else:\n segments.append('dm/s')\n segments.append('d%d' % self.vector_size) # dimensions\n if self.negative:\n segments.append('n%d' % self.negative) # negative samples\n if self.hs:\n segments.append('hs')\n if not self.sg or (self.sg and self.dbow_words):\n segments.append('w%d' % self.window) # window size, when relevant\n if self.min_count > 1:\n segments.append('mc%d' % self.min_count)\n if self.sample > 0:\n segments.append('s%g' % self.sample)\n if self.workers > 1:\n segments.append('t%d' % self.workers)\n return '%s(%s)' % (self.__class__.__name__, ','.join(segments))\n\n def delete_temporary_training_data(self, keep_doctags_vectors=True, keep_inference=True):\n \"\"\"\n Discard parameters that are used in training and score. Use if you're sure you're done training a model.\n Set `keep_doctags_vectors` to False if you don't want to save doctags vectors,\n in this case you can't to use docvecs's most_similar, similarity etc. methods.\n Set `keep_inference` to False if you don't want to store parameters that is used for infer_vector method\n \"\"\"\n if not keep_inference:\n self._minimize_model(False, False, False)\n if self.docvecs and hasattr(self.docvecs, 'doctag_syn0') and not keep_doctags_vectors:\n del self.docvecs.doctag_syn0\n if self.docvecs and hasattr(self.docvecs, 'doctag_syn0_lockf'):\n del self.docvecs.doctag_syn0_lockf\n\nclass TaggedBrownCorpus(object):\n \"\"\"Iterate over documents from the Brown corpus (part of NLTK data), yielding\n each document out as a TaggedDocument object.\"\"\"\n def __init__(self, dirname):\n self.dirname = dirname\n\n def __iter__(self):\n for fname in os.listdir(self.dirname):\n fname = os.path.join(self.dirname, fname)\n if not os.path.isfile(fname):\n continue\n for item_no, line in enumerate(utils.smart_open(fname)):\n line = utils.to_unicode(line)\n # each file line is a single document in the Brown corpus\n # each token is WORD/POS_TAG\n token_tags = [t.split('/') for t in line.split() if len(t.split('/')) == 2]\n # ignore words with non-alphabetic tags like \",\", \"!\" etc (punctuation, weird stuff)\n words = [\"%s/%s\" % (token.lower(), tag[:2]) for token, tag in token_tags if tag[:2].isalpha()]\n if not words: # don't bother sending out empty documents\n continue\n yield TaggedDocument(words, ['%s_SENT_%s' % (fname, item_no)])\n\n\nclass TaggedLineDocument(object):\n \"\"\"Simple format: one document = one line = one TaggedDocument object.\n\n Words are expected to be already preprocessed and separated by whitespace,\n tags are constructed automatically from the document line number.\"\"\"\n def __init__(self, source):\n \"\"\"\n `source` can be either a string (filename) or a file object.\n\n Example::\n\n documents = TaggedLineDocument('myfile.txt')\n\n Or for compressed files::\n\n documents = TaggedLineDocument('compressed_text.txt.bz2')\n documents = TaggedLineDocument('compressed_text.txt.gz')\n\n \"\"\"\n self.source = source\n\n def __iter__(self):\n \"\"\"Iterate through the lines in the source.\"\"\"\n try:\n # Assume it is a file-like object and try treating it as such\n # Things that don't have seek will trigger an exception\n self.source.seek(0)\n for item_no, line in enumerate(self.source):\n yield TaggedDocument(utils.to_unicode(line).split(), [item_no])\n except AttributeError:\n # If it didn't work like a file, use it as a string filename\n with utils.smart_open(self.source) as fin:\n for item_no, line in enumerate(fin):\n yield TaggedDocument(utils.to_unicode(line).split(), [item_no])\n","path":"gensim/models/doc2vec.py"}],"string":"[\n {\n \"content\": \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n#\\n# Copyright (C) 2013 Radim Rehurek <me@radimrehurek.com>\\n# Licensed under the GNU LGPL v2.1 - http://www.gnu.org/licenses/lgpl.html\\n\\n\\n\\\"\\\"\\\"\\nDeep learning via the distributed memory and distributed bag of words models from\\n[1]_, using either hierarchical softmax or negative sampling [2]_ [3]_.\\n\\n**Make sure you have a C compiler before installing gensim, to use optimized (compiled)\\ndoc2vec training** (70x speedup [blog]_).\\n\\nInitialize a model with e.g.::\\n\\n>>> model = Doc2Vec(documents, size=100, window=8, min_count=5, workers=4)\\n\\nPersist a model to disk with::\\n\\n>>> model.save(fname)\\n>>> model = Doc2Vec.load(fname) # you can continue training with the loaded model!\\n\\nThe model can also be instantiated from an existing file on disk in the word2vec C format::\\n\\n >>> model = Doc2Vec.load_word2vec_format('/tmp/vectors.txt', binary=False) # C text format\\n >>> model = Doc2Vec.load_word2vec_format('/tmp/vectors.bin', binary=True) # C binary format\\n\\n.. [1] Quoc Le and Tomas Mikolov. Distributed Representations of Sentences and Documents. http://arxiv.org/pdf/1405.4053v2.pdf\\n.. [2] Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient Estimation of Word Representations in Vector Space. In Proceedings of Workshop at ICLR, 2013.\\n.. [3] Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. Distributed Representations of Words and Phrases and their Compositionality.\\n In Proceedings of NIPS, 2013.\\n.. [blog] Optimizing word2vec in gensim, http://radimrehurek.com/2013/09/word2vec-in-python-part-two-optimizing/\\n\\n\\\"\\\"\\\"\\n\\nimport logging\\nimport os\\nimport warnings\\n\\ntry:\\n from queue import Queue\\nexcept ImportError:\\n from Queue import Queue\\n\\nfrom collections import namedtuple, defaultdict\\nfrom timeit import default_timer\\n\\nfrom numpy import zeros, random, sum as np_sum, add as np_add, concatenate, \\\\\\n repeat as np_repeat, array, float32 as REAL, empty, ones, memmap as np_memmap, \\\\\\n sqrt, newaxis, ndarray, dot, vstack, dtype, divide as np_divide\\n\\n\\nfrom gensim.utils import call_on_class_only\\nfrom gensim import utils, matutils # utility fnc for pickling, common scipy operations etc\\nfrom gensim.models.word2vec import Word2Vec, Vocab, train_cbow_pair, train_sg_pair, train_batch_sg\\nfrom six.moves import xrange, zip\\nfrom six import string_types, integer_types, itervalues\\n\\nlogger = logging.getLogger(__name__)\\n\\ntry:\\n from gensim.models.doc2vec_inner import train_document_dbow, train_document_dm, train_document_dm_concat\\n from gensim.models.word2vec_inner import FAST_VERSION # blas-adaptation shared from word2vec\\n logger.debug('Fast version of {0} is being used'.format(__name__))\\nexcept ImportError:\\n logger.warning('Slow version of {0} is being used'.format(__name__))\\n # failed... fall back to plain numpy (20-80x slower training than the above)\\n FAST_VERSION = -1\\n\\n def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,\\n train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,\\n word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):\\n \\\"\\\"\\\"\\n Update distributed bag of words model (\\\"PV-DBOW\\\") by training on a single document.\\n\\n Called internally from `Doc2Vec.train()` and `Doc2Vec.infer_vector()`.\\n\\n The document is provided as `doc_words`, a list of word tokens which are looked up\\n in the model's vocab dictionary, and `doctag_indexes`, which provide indexes\\n into the doctag_vectors array.\\n\\n If `train_words` is True, simultaneously train word-to-word (not just doc-to-word)\\n examples, exactly as per Word2Vec skip-gram training. (Without this option,\\n word vectors are neither consulted nor updated during DBOW doc vector training.)\\n\\n Any of `learn_doctags', `learn_words`, and `learn_hidden` may be set False to\\n prevent learning-updates to those respective model weights, as if using the\\n (partially-)frozen model to infer other compatible vectors.\\n\\n This is the non-optimized, Python version. If you have cython installed, gensim\\n will use the optimized version from doc2vec_inner instead.\\n\\n \\\"\\\"\\\"\\n if doctag_vectors is None:\\n doctag_vectors = model.docvecs.doctag_syn0\\n if doctag_locks is None:\\n doctag_locks = model.docvecs.doctag_syn0_lockf\\n\\n if train_words and learn_words:\\n train_batch_sg(model, [doc_words], alpha, work)\\n for doctag_index in doctag_indexes:\\n for word in doc_words:\\n train_sg_pair(model, word, doctag_index, alpha, learn_vectors=learn_doctags,\\n learn_hidden=learn_hidden, context_vectors=doctag_vectors,\\n context_locks=doctag_locks)\\n\\n return len(doc_words)\\n\\n def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,\\n learn_doctags=True, learn_words=True, learn_hidden=True,\\n word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):\\n \\\"\\\"\\\"\\n Update distributed memory model (\\\"PV-DM\\\") by training on a single document.\\n\\n Called internally from `Doc2Vec.train()` and `Doc2Vec.infer_vector()`. This\\n method implements the DM model with a projection (input) layer that is\\n either the sum or mean of the context vectors, depending on the model's\\n `dm_mean` configuration field. See `train_document_dm_concat()` for the DM\\n model with a concatenated input layer.\\n\\n The document is provided as `doc_words`, a list of word tokens which are looked up\\n in the model's vocab dictionary, and `doctag_indexes`, which provide indexes\\n into the doctag_vectors array.\\n\\n Any of `learn_doctags', `learn_words`, and `learn_hidden` may be set False to\\n prevent learning-updates to those respective model weights, as if using the\\n (partially-)frozen model to infer other compatible vectors.\\n\\n This is the non-optimized, Python version. If you have a C compiler, gensim\\n will use the optimized version from doc2vec_inner instead.\\n\\n \\\"\\\"\\\"\\n if word_vectors is None:\\n word_vectors = model.wv.syn0\\n if word_locks is None:\\n word_locks = model.syn0_lockf\\n if doctag_vectors is None:\\n doctag_vectors = model.docvecs.doctag_syn0\\n if doctag_locks is None:\\n doctag_locks = model.docvecs.doctag_syn0_lockf\\n\\n word_vocabs = [model.wv.vocab[w] for w in doc_words if w in model.wv.vocab and\\n model.wv.vocab[w].sample_int > model.random.rand() * 2**32]\\n\\n for pos, word in enumerate(word_vocabs):\\n reduced_window = model.random.randint(model.window) # `b` in the original doc2vec code\\n start = max(0, pos - model.window + reduced_window)\\n window_pos = enumerate(word_vocabs[start:(pos + model.window + 1 - reduced_window)], start)\\n word2_indexes = [word2.index for pos2, word2 in window_pos if pos2 != pos]\\n l1 = np_sum(word_vectors[word2_indexes], axis=0) + np_sum(doctag_vectors[doctag_indexes], axis=0)\\n count = len(word2_indexes) + len(doctag_indexes)\\n if model.cbow_mean and count > 1 :\\n l1 /= count\\n neu1e = train_cbow_pair(model, word, word2_indexes, l1, alpha,\\n learn_vectors=False, learn_hidden=learn_hidden)\\n if not model.cbow_mean and count > 1:\\n neu1e /= count\\n if learn_doctags:\\n for i in doctag_indexes:\\n doctag_vectors[i] += neu1e * doctag_locks[i]\\n if learn_words:\\n for i in word2_indexes:\\n word_vectors[i] += neu1e * word_locks[i]\\n\\n return len(word_vocabs)\\n\\n def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,\\n learn_doctags=True, learn_words=True, learn_hidden=True,\\n word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):\\n \\\"\\\"\\\"\\n Update distributed memory model (\\\"PV-DM\\\") by training on a single document, using a\\n concatenation of the context window word vectors (rather than a sum or average).\\n\\n Called internally from `Doc2Vec.train()` and `Doc2Vec.infer_vector()`.\\n\\n The document is provided as `doc_words`, a list of word tokens which are looked up\\n in the model's vocab dictionary, and `doctag_indexes`, which provide indexes\\n into the doctag_vectors array.\\n\\n Any of `learn_doctags', `learn_words`, and `learn_hidden` may be set False to\\n prevent learning-updates to those respective model weights, as if using the\\n (partially-)frozen model to infer other compatible vectors.\\n\\n This is the non-optimized, Python version. If you have a C compiler, gensim\\n will use the optimized version from doc2vec_inner instead.\\n\\n \\\"\\\"\\\"\\n if word_vectors is None:\\n word_vectors = model.wv.syn0\\n if word_locks is None:\\n word_locks = model.syn0_lockf\\n if doctag_vectors is None:\\n doctag_vectors = model.docvecs.doctag_syn0\\n if doctag_locks is None:\\n doctag_locks = model.docvecs.doctag_syn0_lockf\\n\\n word_vocabs = [model.wv.vocab[w] for w in doc_words if w in model.wv.vocab and\\n model.wv.vocab[w].sample_int > model.random.rand() * 2**32]\\n doctag_len = len(doctag_indexes)\\n if doctag_len != model.dm_tag_count:\\n return 0 # skip doc without expected number of doctag(s) (TODO: warn/pad?)\\n\\n null_word = model.wv.vocab['\\\\0']\\n pre_pad_count = model.window\\n post_pad_count = model.window\\n padded_document_indexes = (\\n (pre_pad_count * [null_word.index]) # pre-padding\\n + [word.index for word in word_vocabs if word is not None] # elide out-of-Vocabulary words\\n + (post_pad_count * [null_word.index]) # post-padding\\n )\\n\\n for pos in range(pre_pad_count, len(padded_document_indexes) - post_pad_count):\\n word_context_indexes = (\\n padded_document_indexes[(pos - pre_pad_count): pos] # preceding words\\n + padded_document_indexes[(pos + 1):(pos + 1 + post_pad_count)] # following words\\n )\\n word_context_len = len(word_context_indexes)\\n predict_word = model.wv.vocab[model.wv.index2word[padded_document_indexes[pos]]]\\n # numpy advanced-indexing copies; concatenate, flatten to 1d\\n l1 = concatenate((doctag_vectors[doctag_indexes], word_vectors[word_context_indexes])).ravel()\\n neu1e = train_cbow_pair(model, predict_word, None, l1, alpha,\\n learn_hidden=learn_hidden, learn_vectors=False)\\n\\n # filter by locks and shape for addition to source vectors\\n e_locks = concatenate((doctag_locks[doctag_indexes], word_locks[word_context_indexes]))\\n neu1e_r = (neu1e.reshape(-1, model.vector_size)\\n * np_repeat(e_locks, model.vector_size).reshape(-1, model.vector_size))\\n\\n if learn_doctags:\\n np_add.at(doctag_vectors, doctag_indexes, neu1e_r[:doctag_len])\\n if learn_words:\\n np_add.at(word_vectors, word_context_indexes, neu1e_r[doctag_len:])\\n\\n return len(padded_document_indexes) - pre_pad_count - post_pad_count\\n\\n\\nclass TaggedDocument(namedtuple('TaggedDocument', 'words tags')):\\n \\\"\\\"\\\"\\n A single document, made up of `words` (a list of unicode string tokens)\\n and `tags` (a list of tokens). Tags may be one or more unicode string\\n tokens, but typical practice (which will also be most memory-efficient) is\\n for the tags list to include a unique integer id as the only tag.\\n\\n Replaces \\\"sentence as a list of words\\\" from Word2Vec.\\n\\n \\\"\\\"\\\"\\n def __str__(self):\\n return '%s(%s, %s)' % (self.__class__.__name__, self.words, self.tags)\\n\\n\\n# for compatibility\\nclass LabeledSentence(TaggedDocument):\\n def __init__(self, *args, **kwargs):\\n warnings.warn('LabeledSentence has been replaced by TaggedDocument', DeprecationWarning)\\n\\n\\nclass DocvecsArray(utils.SaveLoad):\\n \\\"\\\"\\\"\\n Default storage of doc vectors during/after training, in a numpy array.\\n\\n As the 'docvecs' property of a Doc2Vec model, allows access and\\n comparison of document vectors.\\n\\n >>> docvec = d2v_model.docvecs[99]\\n >>> docvec = d2v_model.docvecs['SENT_99'] # if string tag used in training\\n >>> sims = d2v_model.docvecs.most_similar(99)\\n >>> sims = d2v_model.docvecs.most_similar('SENT_99')\\n >>> sims = d2v_model.docvecs.most_similar(docvec)\\n\\n If only plain int tags are presented during training, the dict (of\\n string tag -> index) and list (of index -> string tag) stay empty,\\n saving memory.\\n\\n Supplying a mapfile_path (as by initializing a Doc2Vec model with a\\n 'docvecs_mapfile' value) will use a pair of memory-mapped\\n files as the array backing for doctag_syn0/doctag_syn0_lockf values.\\n\\n The Doc2Vec model automatically uses this class, but a future alternative\\n implementation, based on another persistence mechanism like LMDB, LevelDB,\\n or SQLite, should also be possible.\\n \\\"\\\"\\\"\\n def __init__(self, mapfile_path=None):\\n self.doctags = {} # string -> Doctag (only filled if necessary)\\n self.max_rawint = -1 # highest rawint-indexed doctag\\n self.offset2doctag = [] # int offset-past-(max_rawint+1) -> String (only filled if necessary)\\n self.count = 0\\n self.mapfile_path = mapfile_path\\n\\n def note_doctag(self, key, document_no, document_length):\\n \\\"\\\"\\\"Note a document tag during initial corpus scan, for structure sizing.\\\"\\\"\\\"\\n if isinstance(key, int):\\n self.max_rawint = max(self.max_rawint, key)\\n else:\\n if key in self.doctags:\\n self.doctags[key] = self.doctags[key].repeat(document_length)\\n else:\\n self.doctags[key] = Doctag(len(self.offset2doctag), document_length, 1)\\n self.offset2doctag.append(key)\\n self.count = self.max_rawint + 1 + len(self.offset2doctag)\\n\\n def indexed_doctags(self, doctag_tokens):\\n \\\"\\\"\\\"Return indexes and backing-arrays used in training examples.\\\"\\\"\\\"\\n return ([self._int_index(index) for index in doctag_tokens if index in self],\\n self.doctag_syn0, self.doctag_syn0_lockf, doctag_tokens)\\n\\n def trained_item(self, indexed_tuple):\\n \\\"\\\"\\\"Persist any changes made to the given indexes (matching tuple previously\\n returned by indexed_doctags()); a no-op for this implementation\\\"\\\"\\\"\\n pass\\n\\n def _int_index(self, index):\\n \\\"\\\"\\\"Return int index for either string or int index\\\"\\\"\\\"\\n if isinstance(index, int):\\n return index\\n else:\\n return self.max_rawint + 1 + self.doctags[index].offset\\n\\n def _key_index(self, i_index, missing=None):\\n \\\"\\\"\\\"Return string index for given int index, if available\\\"\\\"\\\"\\n warnings.warn(\\\"use DocvecsArray.index_to_doctag\\\", DeprecationWarning)\\n return self.index_to_doctag(i_index)\\n\\n def index_to_doctag(self, i_index):\\n \\\"\\\"\\\"Return string key for given i_index, if available. Otherwise return raw int doctag (same int).\\\"\\\"\\\"\\n candidate_offset = i_index - self.max_rawint - 1\\n if 0 <= candidate_offset < len(self.offset2doctag):\\n return self.offset2doctag[candidate_offset]\\n else:\\n return i_index\\n\\n def __getitem__(self, index):\\n \\\"\\\"\\\"\\n Accept a single key (int or string tag) or list of keys as input.\\n\\n If a single string or int, return designated tag's vector\\n representation, as a 1D numpy array.\\n\\n If a list, return designated tags' vector representations as a\\n 2D numpy array: #tags x #vector_size.\\n \\\"\\\"\\\"\\n if isinstance(index, string_types + (int,)):\\n return self.doctag_syn0[self._int_index(index)]\\n\\n return vstack([self[i] for i in index])\\n\\n def __len__(self):\\n return self.count\\n\\n def __contains__(self, index):\\n if isinstance(index, int):\\n return index < self.count\\n else:\\n return index in self.doctags\\n\\n def save(self, *args, **kwargs):\\n # don't bother storing the cached normalized vectors\\n kwargs['ignore'] = kwargs.get('ignore', ['syn0norm'])\\n super(DocvecsArray, self).save(*args, **kwargs)\\n\\n def borrow_from(self, other_docvecs):\\n self.count = other_docvecs.count\\n self.doctags = other_docvecs.doctags\\n self.offset2doctag = other_docvecs.offset2doctag\\n\\n def clear_sims(self):\\n self.doctag_syn0norm = None\\n\\n def estimated_lookup_memory(self):\\n \\\"\\\"\\\"Estimated memory for tag lookup; 0 if using pure int tags.\\\"\\\"\\\"\\n return 60 * len(self.offset2doctag) + 140 * len(self.doctags)\\n\\n def reset_weights(self, model):\\n length = max(len(self.doctags), self.count)\\n if self.mapfile_path:\\n self.doctag_syn0 = np_memmap(self.mapfile_path+'.doctag_syn0', dtype=REAL,\\n mode='w+', shape=(length, model.vector_size))\\n self.doctag_syn0_lockf = np_memmap(self.mapfile_path+'.doctag_syn0_lockf', dtype=REAL,\\n mode='w+', shape=(length,))\\n self.doctag_syn0_lockf.fill(1.0)\\n else:\\n self.doctag_syn0 = empty((length, model.vector_size), dtype=REAL)\\n self.doctag_syn0_lockf = ones((length,), dtype=REAL) # zeros suppress learning\\n\\n for i in xrange(length):\\n # construct deterministic seed from index AND model seed\\n seed = \\\"%d %s\\\" % (model.seed, self.index_to_doctag(i))\\n self.doctag_syn0[i] = model.seeded_vector(seed)\\n\\n def init_sims(self, replace=False):\\n \\\"\\\"\\\"\\n Precompute L2-normalized vectors.\\n\\n If `replace` is set, forget the original vectors and only keep the normalized\\n ones = saves lots of memory!\\n\\n Note that you **cannot continue training or inference** after doing a replace.\\n The model becomes effectively read-only = you can call `most_similar`, `similarity`\\n etc., but not `train` or `infer_vector`.\\n\\n \\\"\\\"\\\"\\n if getattr(self, 'doctag_syn0norm', None) is None or replace:\\n logger.info(\\\"precomputing L2-norms of doc weight vectors\\\")\\n if replace:\\n for i in xrange(self.doctag_syn0.shape[0]):\\n self.doctag_syn0[i, :] /= sqrt((self.doctag_syn0[i, :] ** 2).sum(-1))\\n self.doctag_syn0norm = self.doctag_syn0\\n else:\\n if self.mapfile_path:\\n self.doctag_syn0norm = np_memmap(\\n self.mapfile_path+'.doctag_syn0norm', dtype=REAL,\\n mode='w+', shape=self.doctag_syn0.shape)\\n else:\\n self.doctag_syn0norm = empty(self.doctag_syn0.shape, dtype=REAL)\\n np_divide(self.doctag_syn0, sqrt((self.doctag_syn0 ** 2).sum(-1))[..., newaxis], self.doctag_syn0norm)\\n\\n def most_similar(self, positive=[], negative=[], topn=10, clip_start=0, clip_end=None, indexer=None):\\n \\\"\\\"\\\"\\n Find the top-N most similar docvecs known from training. Positive docs contribute\\n positively towards the similarity, negative docs negatively.\\n\\n This method computes cosine similarity between a simple mean of the projection\\n weight vectors of the given docs. Docs may be specified as vectors, integer indexes\\n of trained docvecs, or if the documents were originally presented with string tags,\\n by the corresponding tags.\\n\\n The 'clip_start' and 'clip_end' allow limiting results to a particular contiguous\\n range of the underlying doctag_syn0norm vectors. (This may be useful if the ordering\\n there was chosen to be significant, such as more popular tag IDs in lower indexes.)\\n \\\"\\\"\\\"\\n self.init_sims()\\n clip_end = clip_end or len(self.doctag_syn0norm)\\n\\n if isinstance(positive, string_types + integer_types) and not negative:\\n # allow calls like most_similar('dog'), as a shorthand for most_similar(['dog'])\\n positive = [positive]\\n\\n # add weights for each doc, if not already present; default to 1.0 for positive and -1.0 for negative docs\\n positive = [\\n (doc, 1.0) if isinstance(doc, string_types + (ndarray,) + integer_types)\\n else doc for doc in positive\\n ]\\n negative = [\\n (doc, -1.0) if isinstance(doc, string_types + (ndarray,) + integer_types)\\n else doc for doc in negative\\n ]\\n\\n # compute the weighted average of all docs\\n all_docs, mean = set(), []\\n for doc, weight in positive + negative:\\n if isinstance(doc, ndarray):\\n mean.append(weight * doc)\\n elif doc in self.doctags or doc < self.count:\\n mean.append(weight * self.doctag_syn0norm[self._int_index(doc)])\\n all_docs.add(self._int_index(doc))\\n else:\\n raise KeyError(\\\"doc '%s' not in trained set\\\" % doc)\\n if not mean:\\n raise ValueError(\\\"cannot compute similarity with no input\\\")\\n mean = matutils.unitvec(array(mean).mean(axis=0)).astype(REAL)\\n\\n if indexer is not None:\\n return indexer.most_similar(mean, topn)\\n\\n dists = dot(self.doctag_syn0norm[clip_start:clip_end], mean)\\n if not topn:\\n return dists\\n best = matutils.argsort(dists, topn=topn + len(all_docs), reverse=True)\\n # ignore (don't return) docs from the input\\n result = [(self.index_to_doctag(sim + clip_start), float(dists[sim])) for sim in best if (sim + clip_start) not in all_docs]\\n return result[:topn]\\n\\n def doesnt_match(self, docs):\\n \\\"\\\"\\\"\\n Which doc from the given list doesn't go with the others?\\n\\n (TODO: Accept vectors of out-of-training-set docs, as if from inference.)\\n\\n \\\"\\\"\\\"\\n self.init_sims()\\n\\n docs = [doc for doc in docs if doc in self.doctags or 0 <= doc < self.count] # filter out unknowns\\n logger.debug(\\\"using docs %s\\\" % docs)\\n if not docs:\\n raise ValueError(\\\"cannot select a doc from an empty list\\\")\\n vectors = vstack(self.doctag_syn0norm[self._int_index(doc)] for doc in docs).astype(REAL)\\n mean = matutils.unitvec(vectors.mean(axis=0)).astype(REAL)\\n dists = dot(vectors, mean)\\n return sorted(zip(dists, docs))[0][1]\\n\\n def similarity(self, d1, d2):\\n \\\"\\\"\\\"\\n Compute cosine similarity between two docvecs in the trained set, specified by int index or\\n string tag. (TODO: Accept vectors of out-of-training-set docs, as if from inference.)\\n\\n \\\"\\\"\\\"\\n return dot(matutils.unitvec(self[d1]), matutils.unitvec(self[d2]))\\n\\n def n_similarity(self, ds1, ds2):\\n \\\"\\\"\\\"\\n Compute cosine similarity between two sets of docvecs from the trained set, specified by int\\n index or string tag. (TODO: Accept vectors of out-of-training-set docs, as if from inference.)\\n\\n \\\"\\\"\\\"\\n v1 = [self[doc] for doc in ds1]\\n v2 = [self[doc] for doc in ds2]\\n return dot(matutils.unitvec(array(v1).mean(axis=0)), matutils.unitvec(array(v2).mean(axis=0)))\\n\\n def similarity_unseen_docs(self, model, doc_words1, doc_words2, alpha=0.1, min_alpha=0.0001, steps=5):\\n \\\"\\\"\\\"\\n Compute cosine similarity between two post-bulk out of training documents.\\n\\n Document should be a list of (word) tokens.\\n \\\"\\\"\\\"\\n d1 = model.infer_vector(doc_words=doc_words1, alpha=alpha, min_alpha=min_alpha, steps=steps)\\n d2 = model.infer_vector(doc_words=doc_words2, alpha=alpha, min_alpha=min_alpha, steps=steps)\\n return dot(matutils.unitvec(d1), matutils.unitvec(d2))\\n\\n\\nclass Doctag(namedtuple('Doctag', 'offset, word_count, doc_count')):\\n \\\"\\\"\\\"A string document tag discovered during the initial vocabulary\\n scan. (The document-vector equivalent of a Vocab object.)\\n\\n Will not be used if all presented document tags are ints.\\n\\n The offset is only the true index into the doctags_syn0/doctags_syn0_lockf\\n if-and-only-if no raw-int tags were used. If any raw-int tags were used,\\n string Doctag vectors begin at index (max_rawint + 1), so the true index is\\n (rawint_index + 1 + offset). See also DocvecsArray.index_to_doctag().\\n \\\"\\\"\\\"\\n __slots__ = ()\\n\\n def repeat(self, word_count):\\n return self._replace(word_count=self.word_count + word_count, doc_count=self.doc_count + 1)\\n\\n\\nclass Doc2Vec(Word2Vec):\\n \\\"\\\"\\\"Class for training, using and evaluating neural networks described in http://arxiv.org/pdf/1405.4053v2.pdf\\\"\\\"\\\"\\n def __init__(self, documents=None, dm_mean=None,\\n dm=1, dbow_words=0, dm_concat=0, dm_tag_count=1,\\n docvecs=None, docvecs_mapfile=None, comment=None, trim_rule=None, **kwargs):\\n \\\"\\\"\\\"\\n Initialize the model from an iterable of `documents`. Each document is a\\n TaggedDocument object that will be used for training.\\n\\n The `documents` iterable can be simply a list of TaggedDocument elements, but for larger corpora,\\n consider an iterable that streams the documents directly from disk/network.\\n\\n If you don't supply `documents`, the model is left uninitialized -- use if\\n you plan to initialize it in some other way.\\n\\n `dm` defines the training algorithm. By default (`dm=1`), 'distributed memory' (PV-DM) is used.\\n Otherwise, `distributed bag of words` (PV-DBOW) is employed.\\n\\n `size` is the dimensionality of the feature vectors.\\n\\n `window` is the maximum distance between the predicted word and context words used for prediction\\n within a document.\\n\\n `alpha` is the initial learning rate (will linearly drop to zero as training progresses).\\n\\n `seed` = for the random number generator.\\n Note that for a fully deterministically-reproducible run, you must also limit the model to\\n a single worker thread, to eliminate ordering jitter from OS thread scheduling. (In Python\\n 3, reproducibility between interpreter launches also requires use of the PYTHONHASHSEED\\n environment variable to control hash randomization.)\\n\\n `min_count` = ignore all words with total frequency lower than this.\\n\\n `max_vocab_size` = limit RAM during vocabulary building; if there are more unique\\n words than this, then prune the infrequent ones. Every 10 million word types\\n need about 1GB of RAM. Set to `None` for no limit (default).\\n\\n `sample` = threshold for configuring which higher-frequency words are randomly downsampled;\\n default is 0 (off), useful value is 1e-5.\\n\\n `workers` = use this many worker threads to train the model (=faster training with multicore machines).\\n\\n `iter` = number of iterations (epochs) over the corpus. The default inherited from Word2Vec is 5,\\n but values of 10 or 20 are common in published 'Paragraph Vector' experiments.\\n\\n `hs` = if 1 (default), hierarchical sampling will be used for model training (else set to 0).\\n\\n `negative` = if > 0, negative sampling will be used, the int for negative\\n specifies how many \\\"noise words\\\" should be drawn (usually between 5-20).\\n\\n `dm_mean` = if 0 (default), use the sum of the context word vectors. If 1, use the mean.\\n Only applies when dm is used in non-concatenative mode.\\n\\n `dm_concat` = if 1, use concatenation of context vectors rather than sum/average;\\n default is 0 (off). Note concatenation results in a much-larger model, as the input\\n is no longer the size of one (sampled or arithmatically combined) word vector, but the\\n size of the tag(s) and all words in the context strung together.\\n\\n `dm_tag_count` = expected constant number of document tags per document, when using\\n dm_concat mode; default is 1.\\n\\n `dbow_words` if set to 1 trains word-vectors (in skip-gram fashion) simultaneous with DBOW\\n doc-vector training; default is 0 (faster training of doc-vectors only).\\n\\n `trim_rule` = vocabulary trimming rule, specifies whether certain words should remain\\n in the vocabulary, be trimmed away, or handled using the default (discard if word count < min_count).\\n Can be None (min_count will be used), or a callable that accepts parameters (word, count, min_count) and\\n returns either util.RULE_DISCARD, util.RULE_KEEP or util.RULE_DEFAULT.\\n Note: The rule, if given, is only used prune vocabulary during build_vocab() and is not stored as part\\n of the model.\\n\\n \\\"\\\"\\\"\\n\\n super(Doc2Vec, self).__init__(\\n sg=(1 + dm) % 2,\\n null_word=dm_concat, **kwargs)\\n \\n self.load = call_on_class_only\\n self.load_word2vec_format = call_on_class_only\\n\\n if dm_mean is not None:\\n self.cbow_mean = dm_mean\\n \\n self.dbow_words = dbow_words\\n self.dm_concat = dm_concat\\n self.dm_tag_count = dm_tag_count\\n if self.dm and self.dm_concat:\\n self.layer1_size = (self.dm_tag_count + (2 * self.window)) * self.vector_size\\n\\n self.docvecs = docvecs or DocvecsArray(docvecs_mapfile)\\n self.comment = comment\\n if documents is not None:\\n self.build_vocab(documents, trim_rule=trim_rule)\\n self.train(documents)\\n\\n @property\\n def dm(self):\\n return not self.sg # opposite of SG\\n\\n @property\\n def dbow(self):\\n return self.sg # same as SG\\n\\n def clear_sims(self):\\n super(Doc2Vec, self).clear_sims()\\n self.docvecs.clear_sims()\\n\\n def reset_weights(self):\\n if self.dm and self.dm_concat:\\n # expand l1 size to match concatenated tags+words length\\n self.layer1_size = (self.dm_tag_count + (2 * self.window)) * self.vector_size\\n logger.info(\\\"using concatenative %d-dimensional layer1\\\" % (self.layer1_size))\\n super(Doc2Vec, self).reset_weights()\\n self.docvecs.reset_weights(self)\\n\\n def reset_from(self, other_model):\\n \\\"\\\"\\\"Reuse shareable structures from other_model.\\\"\\\"\\\"\\n self.docvecs.borrow_from(other_model.docvecs)\\n super(Doc2Vec, self).reset_from(other_model)\\n\\n def scan_vocab(self, documents, progress_per=10000, trim_rule=None, update=False):\\n logger.info(\\\"collecting all words and their counts\\\")\\n document_no = -1\\n total_words = 0\\n min_reduce = 1\\n interval_start = default_timer() - 0.00001 # guard against next sample being identical\\n interval_count = 0\\n checked_string_types = 0\\n vocab = defaultdict(int)\\n for document_no, document in enumerate(documents):\\n if not checked_string_types:\\n if isinstance(document.words, string_types):\\n logger.warn(\\\"Each 'words' should be a list of words (usually unicode strings).\\\"\\n \\\"First 'words' here is instead plain %s.\\\" % type(document.words))\\n checked_string_types += 1\\n if document_no % progress_per == 0:\\n interval_rate = (total_words - interval_count) / (default_timer() - interval_start)\\n logger.info(\\\"PROGRESS: at example #%i, processed %i words (%i/s), %i word types, %i tags\\\",\\n document_no, total_words, interval_rate, len(vocab), len(self.docvecs))\\n interval_start = default_timer()\\n interval_count = total_words\\n document_length = len(document.words)\\n\\n for tag in document.tags:\\n self.docvecs.note_doctag(tag, document_no, document_length)\\n\\n for word in document.words:\\n vocab[word] += 1\\n total_words += len(document.words)\\n\\n if self.max_vocab_size and len(vocab) > self.max_vocab_size:\\n utils.prune_vocab(vocab, min_reduce, trim_rule=trim_rule)\\n min_reduce += 1\\n\\n logger.info(\\\"collected %i word types and %i unique tags from a corpus of %i examples and %i words\\\",\\n len(vocab), len(self.docvecs), document_no + 1, total_words)\\n self.corpus_count = document_no + 1\\n self.raw_vocab = vocab\\n\\n def _do_train_job(self, job, alpha, inits):\\n work, neu1 = inits\\n tally = 0\\n for doc in job:\\n indexed_doctags = self.docvecs.indexed_doctags(doc.tags)\\n doctag_indexes, doctag_vectors, doctag_locks, ignored = indexed_doctags\\n if self.sg:\\n tally += train_document_dbow(self, doc.words, doctag_indexes, alpha, work,\\n train_words=self.dbow_words,\\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\\n elif self.dm_concat:\\n tally += train_document_dm_concat(self, doc.words, doctag_indexes, alpha, work, neu1,\\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\\n else:\\n tally += train_document_dm(self, doc.words, doctag_indexes, alpha, work, neu1,\\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\\n self.docvecs.trained_item(indexed_doctags)\\n return tally, self._raw_word_count(job)\\n\\n def _raw_word_count(self, job):\\n \\\"\\\"\\\"Return the number of words in a given job.\\\"\\\"\\\"\\n return sum(len(sentence.words) for sentence in job)\\n\\n def infer_vector(self, doc_words, alpha=0.1, min_alpha=0.0001, steps=5):\\n \\\"\\\"\\\"\\n Infer a vector for given post-bulk training document.\\n\\n Document should be a list of (word) tokens.\\n \\\"\\\"\\\"\\n doctag_vectors = empty((1, self.vector_size), dtype=REAL)\\n doctag_vectors[0] = self.seeded_vector(' '.join(doc_words))\\n doctag_locks = ones(1, dtype=REAL)\\n doctag_indexes = [0]\\n\\n work = zeros(self.layer1_size, dtype=REAL)\\n if not self.sg:\\n neu1 = matutils.zeros_aligned(self.layer1_size, dtype=REAL)\\n\\n for i in range(steps):\\n if self.sg:\\n train_document_dbow(self, doc_words, doctag_indexes, alpha, work,\\n learn_words=False, learn_hidden=False,\\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\\n elif self.dm_concat:\\n train_document_dm_concat(self, doc_words, doctag_indexes, alpha, work, neu1,\\n learn_words=False, learn_hidden=False,\\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\\n else:\\n train_document_dm(self, doc_words, doctag_indexes, alpha, work, neu1,\\n learn_words=False, learn_hidden=False,\\n doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)\\n alpha = ((alpha - min_alpha) / (steps - i)) + min_alpha\\n\\n return doctag_vectors[0]\\n\\n def estimate_memory(self, vocab_size=None, report=None):\\n \\\"\\\"\\\"Estimate required memory for a model using current settings.\\\"\\\"\\\"\\n report = report or {}\\n report['doctag_lookup'] = self.docvecs.estimated_lookup_memory()\\n report['doctag_syn0'] = self.docvecs.count * self.vector_size * dtype(REAL).itemsize\\n return super(Doc2Vec, self).estimate_memory(vocab_size, report=report)\\n\\n def __str__(self):\\n \\\"\\\"\\\"Abbreviated name reflecting major configuration paramaters.\\\"\\\"\\\"\\n segments = []\\n if self.comment:\\n segments.append('\\\"%s\\\"' % self.comment)\\n if self.sg:\\n if self.dbow_words:\\n segments.append('dbow+w') # also training words\\n else:\\n segments.append('dbow') # PV-DBOW (skip-gram-style)\\n\\n else: # PV-DM...\\n if self.dm_concat:\\n segments.append('dm/c') # ...with concatenative context layer\\n else:\\n if self.cbow_mean:\\n segments.append('dm/m')\\n else:\\n segments.append('dm/s')\\n segments.append('d%d' % self.vector_size) # dimensions\\n if self.negative:\\n segments.append('n%d' % self.negative) # negative samples\\n if self.hs:\\n segments.append('hs')\\n if not self.sg or (self.sg and self.dbow_words):\\n segments.append('w%d' % self.window) # window size, when relevant\\n if self.min_count > 1:\\n segments.append('mc%d' % self.min_count)\\n if self.sample > 0:\\n segments.append('s%g' % self.sample)\\n if self.workers > 1:\\n segments.append('t%d' % self.workers)\\n return '%s(%s)' % (self.__class__.__name__, ','.join(segments))\\n\\n def delete_temporary_training_data(self, keep_doctags_vectors=True, keep_inference=True):\\n \\\"\\\"\\\"\\n Discard parameters that are used in training and score. Use if you're sure you're done training a model.\\n Set `keep_doctags_vectors` to False if you don't want to save doctags vectors,\\n in this case you can't to use docvecs's most_similar, similarity etc. methods.\\n Set `keep_inference` to False if you don't want to store parameters that is used for infer_vector method\\n \\\"\\\"\\\"\\n if not keep_inference:\\n self._minimize_model(False, False, False)\\n if self.docvecs and hasattr(self.docvecs, 'doctag_syn0') and not keep_doctags_vectors:\\n del self.docvecs.doctag_syn0\\n if self.docvecs and hasattr(self.docvecs, 'doctag_syn0_lockf'):\\n del self.docvecs.doctag_syn0_lockf\\n\\nclass TaggedBrownCorpus(object):\\n \\\"\\\"\\\"Iterate over documents from the Brown corpus (part of NLTK data), yielding\\n each document out as a TaggedDocument object.\\\"\\\"\\\"\\n def __init__(self, dirname):\\n self.dirname = dirname\\n\\n def __iter__(self):\\n for fname in os.listdir(self.dirname):\\n fname = os.path.join(self.dirname, fname)\\n if not os.path.isfile(fname):\\n continue\\n for item_no, line in enumerate(utils.smart_open(fname)):\\n line = utils.to_unicode(line)\\n # each file line is a single document in the Brown corpus\\n # each token is WORD/POS_TAG\\n token_tags = [t.split('/') for t in line.split() if len(t.split('/')) == 2]\\n # ignore words with non-alphabetic tags like \\\",\\\", \\\"!\\\" etc (punctuation, weird stuff)\\n words = [\\\"%s/%s\\\" % (token.lower(), tag[:2]) for token, tag in token_tags if tag[:2].isalpha()]\\n if not words: # don't bother sending out empty documents\\n continue\\n yield TaggedDocument(words, ['%s_SENT_%s' % (fname, item_no)])\\n\\n\\nclass TaggedLineDocument(object):\\n \\\"\\\"\\\"Simple format: one document = one line = one TaggedDocument object.\\n\\n Words are expected to be already preprocessed and separated by whitespace,\\n tags are constructed automatically from the document line number.\\\"\\\"\\\"\\n def __init__(self, source):\\n \\\"\\\"\\\"\\n `source` can be either a string (filename) or a file object.\\n\\n Example::\\n\\n documents = TaggedLineDocument('myfile.txt')\\n\\n Or for compressed files::\\n\\n documents = TaggedLineDocument('compressed_text.txt.bz2')\\n documents = TaggedLineDocument('compressed_text.txt.gz')\\n\\n \\\"\\\"\\\"\\n self.source = source\\n\\n def __iter__(self):\\n \\\"\\\"\\\"Iterate through the lines in the source.\\\"\\\"\\\"\\n try:\\n # Assume it is a file-like object and try treating it as such\\n # Things that don't have seek will trigger an exception\\n self.source.seek(0)\\n for item_no, line in enumerate(self.source):\\n yield TaggedDocument(utils.to_unicode(line).split(), [item_no])\\n except AttributeError:\\n # If it didn't work like a file, use it as a string filename\\n with utils.smart_open(self.source) as fin:\\n for item_no, line in enumerate(fin):\\n yield TaggedDocument(utils.to_unicode(line).split(), [item_no])\\n\",\n \"path\": \"gensim/models/doc2vec.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/gensim/models/doc2vec.py b/gensim/models/doc2vec.py\nindex fcb89d280c..00712f0685 100644\n--- a/gensim/models/doc2vec.py\n+++ b/gensim/models/doc2vec.py\n@@ -353,6 +353,11 @@ def __contains__(self, index):\n else:\n return index in self.doctags\n \n+ def save(self, *args, **kwargs):\n+ # don't bother storing the cached normalized vectors\n+ kwargs['ignore'] = kwargs.get('ignore', ['syn0norm'])\n+ super(DocvecsArray, self).save(*args, **kwargs)\n+\n def borrow_from(self, other_docvecs):\n self.count = other_docvecs.count\n self.doctags = other_docvecs.doctags\n"}}},{"rowIdx":6599,"cells":{"in_source_id":{"kind":"string","value":"pypa__pip-5789"},"issue":{"kind":"string","value":"AttributeError on tab completion of `pip install -U ...`\n**Environment**\r\n\r\n* pip version: 18.0\r\n* Python version: 3.7.0\r\n* OS: macOS High Sierra\r\n\r\nUsing iTerm2 3.1.7 or Terminal.app.\r\n\r\n<!-- Feel free to add more information about your environment here -->\r\n\r\n**Description**\r\n<!-- A clear and concise description of what the bug is. -->\r\n\r\nAttempt `pip install -U projectname` with tab completion.\r\n\r\n\r\n**Expected behavior**\r\n<!-- A clear and concise description of what you expected to happen. -->\r\n\r\nTab completion works, or at least no error.\r\n\r\n**How to Reproduce**\r\n<!-- Describe the steps to reproduce this bug. -->\r\n\r\n1. Type `pip install -U` or `pip install --upgrade` then a few letters of a project name (eg. just `p` below), then press the tab key.\r\n3. An error occurs:\r\n\r\n**Output**\r\n\r\n```console\r\n$ pip install --upgrade pTraceback (most recent call last):\r\n File \"/usr/local/bin/pip3\", line 11, in <module>\r\n sys.exit(main())\r\n File \"/usr/local/lib/python3.7/site-packages/pip/_internal/__init__.py\", line 293, in main\r\n autocomplete()\r\n File \"/usr/local/lib/python3.7/site-packages/pip/_internal/__init__.py\", line 121, in autocomplete\r\n cwords, cword, subcommand.parser.option_list_all,\r\n File \"/usr/local/lib/python3.7/site-packages/pip/_internal/__init__.py\", line 170, in get_path_completion_type\r\n for x in opt.metavar.split('/')):\r\nAttributeError: 'NoneType' object has no attribute 'split'\r\n```\r\n\r\n**Notes**\r\n\r\n* When omitting `-U` or `--upgrade`, pressing tab doesn't complete anything but more importantly there's no error.\r\n\r\n* No error with pip 18.0 on Python 2.7.15. Pressing tab suggests files/directories in current dir (with and without `-U`).\n"},"before_files":{"kind":"list like","value":[{"content":"\"\"\"Logic that powers autocompletion installed by ``pip completion``.\n\"\"\"\n\nimport optparse\nimport os\nimport sys\n\nfrom pip._internal.cli.main_parser import create_main_parser\nfrom pip._internal.commands import commands_dict, get_summaries\nfrom pip._internal.utils.misc import get_installed_distributions\n\n\ndef autocomplete():\n \"\"\"Entry Point for completion of main and subcommand options.\n \"\"\"\n # Don't complete if user hasn't sourced bash_completion file.\n if 'PIP_AUTO_COMPLETE' not in os.environ:\n return\n cwords = os.environ['COMP_WORDS'].split()[1:]\n cword = int(os.environ['COMP_CWORD'])\n try:\n current = cwords[cword - 1]\n except IndexError:\n current = ''\n\n subcommands = [cmd for cmd, summary in get_summaries()]\n options = []\n # subcommand\n try:\n subcommand_name = [w for w in cwords if w in subcommands][0]\n except IndexError:\n subcommand_name = None\n\n parser = create_main_parser()\n # subcommand options\n if subcommand_name:\n # special case: 'help' subcommand has no options\n if subcommand_name == 'help':\n sys.exit(1)\n # special case: list locally installed dists for show and uninstall\n should_list_installed = (\n subcommand_name in ['show', 'uninstall'] and\n not current.startswith('-')\n )\n if should_list_installed:\n installed = []\n lc = current.lower()\n for dist in get_installed_distributions(local_only=True):\n if dist.key.startswith(lc) and dist.key not in cwords[1:]:\n installed.append(dist.key)\n # if there are no dists installed, fall back to option completion\n if installed:\n for dist in installed:\n print(dist)\n sys.exit(1)\n\n subcommand = commands_dict[subcommand_name]()\n\n for opt in subcommand.parser.option_list_all:\n if opt.help != optparse.SUPPRESS_HELP:\n for opt_str in opt._long_opts + opt._short_opts:\n options.append((opt_str, opt.nargs))\n\n # filter out previously specified options from available options\n prev_opts = [x.split('=')[0] for x in cwords[1:cword - 1]]\n options = [(x, v) for (x, v) in options if x not in prev_opts]\n # filter options by current input\n options = [(k, v) for k, v in options if k.startswith(current)]\n # get completion type given cwords and available subcommand options\n completion_type = get_path_completion_type(\n cwords, cword, subcommand.parser.option_list_all,\n )\n # get completion files and directories if ``completion_type`` is\n # ``<file>``, ``<dir>`` or ``<path>``\n if completion_type:\n options = auto_complete_paths(current, completion_type)\n options = ((opt, 0) for opt in options)\n for option in options:\n opt_label = option[0]\n # append '=' to options which require args\n if option[1] and option[0][:2] == \"--\":\n opt_label += '='\n print(opt_label)\n else:\n # show main parser options only when necessary\n\n opts = [i.option_list for i in parser.option_groups]\n opts.append(parser.option_list)\n opts = (o for it in opts for o in it)\n if current.startswith('-'):\n for opt in opts:\n if opt.help != optparse.SUPPRESS_HELP:\n subcommands += opt._long_opts + opt._short_opts\n else:\n # get completion type given cwords and all available options\n completion_type = get_path_completion_type(cwords, cword, opts)\n if completion_type:\n subcommands = auto_complete_paths(current, completion_type)\n\n print(' '.join([x for x in subcommands if x.startswith(current)]))\n sys.exit(1)\n\n\ndef get_path_completion_type(cwords, cword, opts):\n \"\"\"Get the type of path completion (``file``, ``dir``, ``path`` or None)\n\n :param cwords: same as the environmental variable ``COMP_WORDS``\n :param cword: same as the environmental variable ``COMP_CWORD``\n :param opts: The available options to check\n :return: path completion type (``file``, ``dir``, ``path`` or None)\n \"\"\"\n if cword < 2 or not cwords[cword - 2].startswith('-'):\n return\n for opt in opts:\n if opt.help == optparse.SUPPRESS_HELP:\n continue\n for o in str(opt).split('/'):\n if cwords[cword - 2].split('=')[0] == o:\n if any(x in ('path', 'file', 'dir')\n for x in opt.metavar.split('/')):\n return opt.metavar\n\n\ndef auto_complete_paths(current, completion_type):\n \"\"\"If ``completion_type`` is ``file`` or ``path``, list all regular files\n and directories starting with ``current``; otherwise only list directories\n starting with ``current``.\n\n :param current: The word to be completed\n :param completion_type: path completion type(`file`, `path` or `dir`)i\n :return: A generator of regular files and/or directories\n \"\"\"\n directory, filename = os.path.split(current)\n current_path = os.path.abspath(directory)\n # Don't complete paths if they can't be accessed\n if not os.access(current_path, os.R_OK):\n return\n filename = os.path.normcase(filename)\n # list all files that start with ``filename``\n file_list = (x for x in os.listdir(current_path)\n if os.path.normcase(x).startswith(filename))\n for f in file_list:\n opt = os.path.join(current_path, f)\n comp_file = os.path.normcase(os.path.join(directory, f))\n # complete regular files when there is not ``<dir>`` after option\n # complete directories when there is ``<file>``, ``<path>`` or\n # ``<dir>``after option\n if completion_type != 'dir' and os.path.isfile(opt):\n yield comp_file\n elif os.path.isdir(opt):\n yield os.path.join(comp_file, '')\n","path":"src/pip/_internal/cli/autocompletion.py"}],"string":"[\n {\n \"content\": \"\\\"\\\"\\\"Logic that powers autocompletion installed by ``pip completion``.\\n\\\"\\\"\\\"\\n\\nimport optparse\\nimport os\\nimport sys\\n\\nfrom pip._internal.cli.main_parser import create_main_parser\\nfrom pip._internal.commands import commands_dict, get_summaries\\nfrom pip._internal.utils.misc import get_installed_distributions\\n\\n\\ndef autocomplete():\\n \\\"\\\"\\\"Entry Point for completion of main and subcommand options.\\n \\\"\\\"\\\"\\n # Don't complete if user hasn't sourced bash_completion file.\\n if 'PIP_AUTO_COMPLETE' not in os.environ:\\n return\\n cwords = os.environ['COMP_WORDS'].split()[1:]\\n cword = int(os.environ['COMP_CWORD'])\\n try:\\n current = cwords[cword - 1]\\n except IndexError:\\n current = ''\\n\\n subcommands = [cmd for cmd, summary in get_summaries()]\\n options = []\\n # subcommand\\n try:\\n subcommand_name = [w for w in cwords if w in subcommands][0]\\n except IndexError:\\n subcommand_name = None\\n\\n parser = create_main_parser()\\n # subcommand options\\n if subcommand_name:\\n # special case: 'help' subcommand has no options\\n if subcommand_name == 'help':\\n sys.exit(1)\\n # special case: list locally installed dists for show and uninstall\\n should_list_installed = (\\n subcommand_name in ['show', 'uninstall'] and\\n not current.startswith('-')\\n )\\n if should_list_installed:\\n installed = []\\n lc = current.lower()\\n for dist in get_installed_distributions(local_only=True):\\n if dist.key.startswith(lc) and dist.key not in cwords[1:]:\\n installed.append(dist.key)\\n # if there are no dists installed, fall back to option completion\\n if installed:\\n for dist in installed:\\n print(dist)\\n sys.exit(1)\\n\\n subcommand = commands_dict[subcommand_name]()\\n\\n for opt in subcommand.parser.option_list_all:\\n if opt.help != optparse.SUPPRESS_HELP:\\n for opt_str in opt._long_opts + opt._short_opts:\\n options.append((opt_str, opt.nargs))\\n\\n # filter out previously specified options from available options\\n prev_opts = [x.split('=')[0] for x in cwords[1:cword - 1]]\\n options = [(x, v) for (x, v) in options if x not in prev_opts]\\n # filter options by current input\\n options = [(k, v) for k, v in options if k.startswith(current)]\\n # get completion type given cwords and available subcommand options\\n completion_type = get_path_completion_type(\\n cwords, cword, subcommand.parser.option_list_all,\\n )\\n # get completion files and directories if ``completion_type`` is\\n # ``<file>``, ``<dir>`` or ``<path>``\\n if completion_type:\\n options = auto_complete_paths(current, completion_type)\\n options = ((opt, 0) for opt in options)\\n for option in options:\\n opt_label = option[0]\\n # append '=' to options which require args\\n if option[1] and option[0][:2] == \\\"--\\\":\\n opt_label += '='\\n print(opt_label)\\n else:\\n # show main parser options only when necessary\\n\\n opts = [i.option_list for i in parser.option_groups]\\n opts.append(parser.option_list)\\n opts = (o for it in opts for o in it)\\n if current.startswith('-'):\\n for opt in opts:\\n if opt.help != optparse.SUPPRESS_HELP:\\n subcommands += opt._long_opts + opt._short_opts\\n else:\\n # get completion type given cwords and all available options\\n completion_type = get_path_completion_type(cwords, cword, opts)\\n if completion_type:\\n subcommands = auto_complete_paths(current, completion_type)\\n\\n print(' '.join([x for x in subcommands if x.startswith(current)]))\\n sys.exit(1)\\n\\n\\ndef get_path_completion_type(cwords, cword, opts):\\n \\\"\\\"\\\"Get the type of path completion (``file``, ``dir``, ``path`` or None)\\n\\n :param cwords: same as the environmental variable ``COMP_WORDS``\\n :param cword: same as the environmental variable ``COMP_CWORD``\\n :param opts: The available options to check\\n :return: path completion type (``file``, ``dir``, ``path`` or None)\\n \\\"\\\"\\\"\\n if cword < 2 or not cwords[cword - 2].startswith('-'):\\n return\\n for opt in opts:\\n if opt.help == optparse.SUPPRESS_HELP:\\n continue\\n for o in str(opt).split('/'):\\n if cwords[cword - 2].split('=')[0] == o:\\n if any(x in ('path', 'file', 'dir')\\n for x in opt.metavar.split('/')):\\n return opt.metavar\\n\\n\\ndef auto_complete_paths(current, completion_type):\\n \\\"\\\"\\\"If ``completion_type`` is ``file`` or ``path``, list all regular files\\n and directories starting with ``current``; otherwise only list directories\\n starting with ``current``.\\n\\n :param current: The word to be completed\\n :param completion_type: path completion type(`file`, `path` or `dir`)i\\n :return: A generator of regular files and/or directories\\n \\\"\\\"\\\"\\n directory, filename = os.path.split(current)\\n current_path = os.path.abspath(directory)\\n # Don't complete paths if they can't be accessed\\n if not os.access(current_path, os.R_OK):\\n return\\n filename = os.path.normcase(filename)\\n # list all files that start with ``filename``\\n file_list = (x for x in os.listdir(current_path)\\n if os.path.normcase(x).startswith(filename))\\n for f in file_list:\\n opt = os.path.join(current_path, f)\\n comp_file = os.path.normcase(os.path.join(directory, f))\\n # complete regular files when there is not ``<dir>`` after option\\n # complete directories when there is ``<file>``, ``<path>`` or\\n # ``<dir>``after option\\n if completion_type != 'dir' and os.path.isfile(opt):\\n yield comp_file\\n elif os.path.isdir(opt):\\n yield os.path.join(comp_file, '')\\n\",\n \"path\": \"src/pip/_internal/cli/autocompletion.py\"\n }\n]","isConversational":false},"after_files":{"kind":"list like","value":[{"content":"\"\"\"Logic that powers autocompletion installed by ``pip completion``.\n\"\"\"\n\nimport optparse\nimport os\nimport sys\n\nfrom pip._internal.cli.main_parser import create_main_parser\nfrom pip._internal.commands import commands_dict, get_summaries\nfrom pip._internal.utils.misc import get_installed_distributions\n\n\ndef autocomplete():\n \"\"\"Entry Point for completion of main and subcommand options.\n \"\"\"\n # Don't complete if user hasn't sourced bash_completion file.\n if 'PIP_AUTO_COMPLETE' not in os.environ:\n return\n cwords = os.environ['COMP_WORDS'].split()[1:]\n cword = int(os.environ['COMP_CWORD'])\n try:\n current = cwords[cword - 1]\n except IndexError:\n current = ''\n\n subcommands = [cmd for cmd, summary in get_summaries()]\n options = []\n # subcommand\n try:\n subcommand_name = [w for w in cwords if w in subcommands][0]\n except IndexError:\n subcommand_name = None\n\n parser = create_main_parser()\n # subcommand options\n if subcommand_name:\n # special case: 'help' subcommand has no options\n if subcommand_name == 'help':\n sys.exit(1)\n # special case: list locally installed dists for show and uninstall\n should_list_installed = (\n subcommand_name in ['show', 'uninstall'] and\n not current.startswith('-')\n )\n if should_list_installed:\n installed = []\n lc = current.lower()\n for dist in get_installed_distributions(local_only=True):\n if dist.key.startswith(lc) and dist.key not in cwords[1:]:\n installed.append(dist.key)\n # if there are no dists installed, fall back to option completion\n if installed:\n for dist in installed:\n print(dist)\n sys.exit(1)\n\n subcommand = commands_dict[subcommand_name]()\n\n for opt in subcommand.parser.option_list_all:\n if opt.help != optparse.SUPPRESS_HELP:\n for opt_str in opt._long_opts + opt._short_opts:\n options.append((opt_str, opt.nargs))\n\n # filter out previously specified options from available options\n prev_opts = [x.split('=')[0] for x in cwords[1:cword - 1]]\n options = [(x, v) for (x, v) in options if x not in prev_opts]\n # filter options by current input\n options = [(k, v) for k, v in options if k.startswith(current)]\n # get completion type given cwords and available subcommand options\n completion_type = get_path_completion_type(\n cwords, cword, subcommand.parser.option_list_all,\n )\n # get completion files and directories if ``completion_type`` is\n # ``<file>``, ``<dir>`` or ``<path>``\n if completion_type:\n options = auto_complete_paths(current, completion_type)\n options = ((opt, 0) for opt in options)\n for option in options:\n opt_label = option[0]\n # append '=' to options which require args\n if option[1] and option[0][:2] == \"--\":\n opt_label += '='\n print(opt_label)\n else:\n # show main parser options only when necessary\n\n opts = [i.option_list for i in parser.option_groups]\n opts.append(parser.option_list)\n opts = (o for it in opts for o in it)\n if current.startswith('-'):\n for opt in opts:\n if opt.help != optparse.SUPPRESS_HELP:\n subcommands += opt._long_opts + opt._short_opts\n else:\n # get completion type given cwords and all available options\n completion_type = get_path_completion_type(cwords, cword, opts)\n if completion_type:\n subcommands = auto_complete_paths(current, completion_type)\n\n print(' '.join([x for x in subcommands if x.startswith(current)]))\n sys.exit(1)\n\n\ndef get_path_completion_type(cwords, cword, opts):\n \"\"\"Get the type of path completion (``file``, ``dir``, ``path`` or None)\n\n :param cwords: same as the environmental variable ``COMP_WORDS``\n :param cword: same as the environmental variable ``COMP_CWORD``\n :param opts: The available options to check\n :return: path completion type (``file``, ``dir``, ``path`` or None)\n \"\"\"\n if cword < 2 or not cwords[cword - 2].startswith('-'):\n return\n for opt in opts:\n if opt.help == optparse.SUPPRESS_HELP:\n continue\n for o in str(opt).split('/'):\n if cwords[cword - 2].split('=')[0] == o:\n if not opt.metavar or any(\n x in ('path', 'file', 'dir')\n for x in opt.metavar.split('/')):\n return opt.metavar\n\n\ndef auto_complete_paths(current, completion_type):\n \"\"\"If ``completion_type`` is ``file`` or ``path``, list all regular files\n and directories starting with ``current``; otherwise only list directories\n starting with ``current``.\n\n :param current: The word to be completed\n :param completion_type: path completion type(`file`, `path` or `dir`)i\n :return: A generator of regular files and/or directories\n \"\"\"\n directory, filename = os.path.split(current)\n current_path = os.path.abspath(directory)\n # Don't complete paths if they can't be accessed\n if not os.access(current_path, os.R_OK):\n return\n filename = os.path.normcase(filename)\n # list all files that start with ``filename``\n file_list = (x for x in os.listdir(current_path)\n if os.path.normcase(x).startswith(filename))\n for f in file_list:\n opt = os.path.join(current_path, f)\n comp_file = os.path.normcase(os.path.join(directory, f))\n # complete regular files when there is not ``<dir>`` after option\n # complete directories when there is ``<file>``, ``<path>`` or\n # ``<dir>``after option\n if completion_type != 'dir' and os.path.isfile(opt):\n yield comp_file\n elif os.path.isdir(opt):\n yield os.path.join(comp_file, '')\n","path":"src/pip/_internal/cli/autocompletion.py"}],"string":"[\n {\n \"content\": \"\\\"\\\"\\\"Logic that powers autocompletion installed by ``pip completion``.\\n\\\"\\\"\\\"\\n\\nimport optparse\\nimport os\\nimport sys\\n\\nfrom pip._internal.cli.main_parser import create_main_parser\\nfrom pip._internal.commands import commands_dict, get_summaries\\nfrom pip._internal.utils.misc import get_installed_distributions\\n\\n\\ndef autocomplete():\\n \\\"\\\"\\\"Entry Point for completion of main and subcommand options.\\n \\\"\\\"\\\"\\n # Don't complete if user hasn't sourced bash_completion file.\\n if 'PIP_AUTO_COMPLETE' not in os.environ:\\n return\\n cwords = os.environ['COMP_WORDS'].split()[1:]\\n cword = int(os.environ['COMP_CWORD'])\\n try:\\n current = cwords[cword - 1]\\n except IndexError:\\n current = ''\\n\\n subcommands = [cmd for cmd, summary in get_summaries()]\\n options = []\\n # subcommand\\n try:\\n subcommand_name = [w for w in cwords if w in subcommands][0]\\n except IndexError:\\n subcommand_name = None\\n\\n parser = create_main_parser()\\n # subcommand options\\n if subcommand_name:\\n # special case: 'help' subcommand has no options\\n if subcommand_name == 'help':\\n sys.exit(1)\\n # special case: list locally installed dists for show and uninstall\\n should_list_installed = (\\n subcommand_name in ['show', 'uninstall'] and\\n not current.startswith('-')\\n )\\n if should_list_installed:\\n installed = []\\n lc = current.lower()\\n for dist in get_installed_distributions(local_only=True):\\n if dist.key.startswith(lc) and dist.key not in cwords[1:]:\\n installed.append(dist.key)\\n # if there are no dists installed, fall back to option completion\\n if installed:\\n for dist in installed:\\n print(dist)\\n sys.exit(1)\\n\\n subcommand = commands_dict[subcommand_name]()\\n\\n for opt in subcommand.parser.option_list_all:\\n if opt.help != optparse.SUPPRESS_HELP:\\n for opt_str in opt._long_opts + opt._short_opts:\\n options.append((opt_str, opt.nargs))\\n\\n # filter out previously specified options from available options\\n prev_opts = [x.split('=')[0] for x in cwords[1:cword - 1]]\\n options = [(x, v) for (x, v) in options if x not in prev_opts]\\n # filter options by current input\\n options = [(k, v) for k, v in options if k.startswith(current)]\\n # get completion type given cwords and available subcommand options\\n completion_type = get_path_completion_type(\\n cwords, cword, subcommand.parser.option_list_all,\\n )\\n # get completion files and directories if ``completion_type`` is\\n # ``<file>``, ``<dir>`` or ``<path>``\\n if completion_type:\\n options = auto_complete_paths(current, completion_type)\\n options = ((opt, 0) for opt in options)\\n for option in options:\\n opt_label = option[0]\\n # append '=' to options which require args\\n if option[1] and option[0][:2] == \\\"--\\\":\\n opt_label += '='\\n print(opt_label)\\n else:\\n # show main parser options only when necessary\\n\\n opts = [i.option_list for i in parser.option_groups]\\n opts.append(parser.option_list)\\n opts = (o for it in opts for o in it)\\n if current.startswith('-'):\\n for opt in opts:\\n if opt.help != optparse.SUPPRESS_HELP:\\n subcommands += opt._long_opts + opt._short_opts\\n else:\\n # get completion type given cwords and all available options\\n completion_type = get_path_completion_type(cwords, cword, opts)\\n if completion_type:\\n subcommands = auto_complete_paths(current, completion_type)\\n\\n print(' '.join([x for x in subcommands if x.startswith(current)]))\\n sys.exit(1)\\n\\n\\ndef get_path_completion_type(cwords, cword, opts):\\n \\\"\\\"\\\"Get the type of path completion (``file``, ``dir``, ``path`` or None)\\n\\n :param cwords: same as the environmental variable ``COMP_WORDS``\\n :param cword: same as the environmental variable ``COMP_CWORD``\\n :param opts: The available options to check\\n :return: path completion type (``file``, ``dir``, ``path`` or None)\\n \\\"\\\"\\\"\\n if cword < 2 or not cwords[cword - 2].startswith('-'):\\n return\\n for opt in opts:\\n if opt.help == optparse.SUPPRESS_HELP:\\n continue\\n for o in str(opt).split('/'):\\n if cwords[cword - 2].split('=')[0] == o:\\n if not opt.metavar or any(\\n x in ('path', 'file', 'dir')\\n for x in opt.metavar.split('/')):\\n return opt.metavar\\n\\n\\ndef auto_complete_paths(current, completion_type):\\n \\\"\\\"\\\"If ``completion_type`` is ``file`` or ``path``, list all regular files\\n and directories starting with ``current``; otherwise only list directories\\n starting with ``current``.\\n\\n :param current: The word to be completed\\n :param completion_type: path completion type(`file`, `path` or `dir`)i\\n :return: A generator of regular files and/or directories\\n \\\"\\\"\\\"\\n directory, filename = os.path.split(current)\\n current_path = os.path.abspath(directory)\\n # Don't complete paths if they can't be accessed\\n if not os.access(current_path, os.R_OK):\\n return\\n filename = os.path.normcase(filename)\\n # list all files that start with ``filename``\\n file_list = (x for x in os.listdir(current_path)\\n if os.path.normcase(x).startswith(filename))\\n for f in file_list:\\n opt = os.path.join(current_path, f)\\n comp_file = os.path.normcase(os.path.join(directory, f))\\n # complete regular files when there is not ``<dir>`` after option\\n # complete directories when there is ``<file>``, ``<path>`` or\\n # ``<dir>``after option\\n if completion_type != 'dir' and os.path.isfile(opt):\\n yield comp_file\\n elif os.path.isdir(opt):\\n yield os.path.join(comp_file, '')\\n\",\n \"path\": \"src/pip/_internal/cli/autocompletion.py\"\n }\n]","isConversational":false},"pr_diff":{"kind":"string","value":"diff --git a/news/5751.bugfix b/news/5751.bugfix\nnew file mode 100644\nindex 00000000000..36926c9a67a\n--- /dev/null\n+++ b/news/5751.bugfix\n@@ -0,0 +1 @@\n+Avoid traceback printing on autocomplete after flags in the CLI.\ndiff --git a/src/pip/_internal/cli/autocompletion.py b/src/pip/_internal/cli/autocompletion.py\nindex de97463fabd..0a04199e6dc 100644\n--- a/src/pip/_internal/cli/autocompletion.py\n+++ b/src/pip/_internal/cli/autocompletion.py\n@@ -116,7 +116,8 @@ def get_path_completion_type(cwords, cword, opts):\n continue\n for o in str(opt).split('/'):\n if cwords[cword - 2].split('=')[0] == o:\n- if any(x in ('path', 'file', 'dir')\n+ if not opt.metavar or any(\n+ x in ('path', 'file', 'dir')\n for x in opt.metavar.split('/')):\n return opt.metavar\n \ndiff --git a/tests/functional/test_completion.py b/tests/functional/test_completion.py\nindex bd7a5afc445..586a0a89bc5 100644\n--- a/tests/functional/test_completion.py\n+++ b/tests/functional/test_completion.py\n@@ -204,6 +204,30 @@ def test_completion_not_files_after_option(script, data):\n )\n \n \n+@pytest.mark.parametrize(\"cl_opts\", [\"-U\", \"--user\", \"-h\"])\n+def test_completion_not_files_after_nonexpecting_option(script, data, cl_opts):\n+ \"\"\"\n+ Test not getting completion files after options which not applicable\n+ (e.g. ``pip install``)\n+ \"\"\"\n+ res, env = setup_completion(\n+ script=script,\n+ words=('pip install %s r' % cl_opts),\n+ cword='2',\n+ cwd=data.completion_paths,\n+ )\n+ assert not any(out in res.stdout for out in\n+ ('requirements.txt', 'readme.txt',)), (\n+ \"autocomplete function completed <file> when \"\n+ \"it should not complete\"\n+ )\n+ assert not any(os.path.join(out, '') in res.stdout\n+ for out in ('replay', 'resources')), (\n+ \"autocomplete function completed <dir> when \"\n+ \"it should not complete\"\n+ )\n+\n+\n def test_completion_directories_after_option(script, data):\n \"\"\"\n Test getting completion <dir> after options in command\n"}}}],"truncated":false,"partial":false},"paginationData":{"pageIndex":65,"numItemsPerPage":100,"numTotalItems":69711,"offset":6500,"length":100}},"jwt":"eyJhbGciOiJFZERTQSIsImtpZCI6IjVHZDBvd0g5MTM2eDZjc1FvbE1zcktNWUZoRVFoUm5PVVVybEpjOUhaUEEifQ.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sInJlcG9JZHMiOlsiNjg0NmRhMzM3MjA0OTNlYWQ1ZGVlOTBkIl0sImlhdCI6MTc5MzI3OTUzNiwianRpIjoiMjg2MWY2OTAtZGM1Yi00YzBhLWIzNjAtZWQ1ODdkMjcxODY3Iiwic3ViIjoiL2RhdGFzZXRzL3Jhc2RhbmkvZ2l0aHViLXBhdGNoZXMiLCJleHAiOjE3OTMyODMxMzYsImlzcyI6Imh0dHBzOi8vaHVnZ2luZ2ZhY2UuY28ifQ.v1izAk11HepQtCnuSj7OY7aqBX_83J_jj2l2rLn5KbKc05biJuBT9xu4dGX9N1bL7Zi_alTJifVx9G_r2eVpBA","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":69711,"numBytesParquet":2677201019}]},"discussionsStats":{"closed":0,"open":1,"total":1},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
in_source_id stringlengths 13 58 | issue stringlengths 3 241k | before_files listlengths 0 3 | after_files listlengths 0 3 | pr_diff stringlengths 109 107M ⌀ |
|---|---|---|---|---|
interlegis__sapl-2075 | Pesquisa de normas jurídicas
Olá, estou testando o SAPL 3.1 e percebi que a pesquisa de normas jurídicas não retorna resultado caso seja acrescentado o número "0" antes da numeração da norma.
| [
{
"content": "from django import forms\nfrom django.contrib.contenttypes.models import ContentType\nfrom django.core.exceptions import ValidationError\nfrom django.db import transaction\nfrom django.db.models import Q\nfrom django.forms import ModelForm\nfrom django.utils.translation import ugettext_lazy as _\n... | [
{
"content": "from django import forms\nfrom django.contrib.contenttypes.models import ContentType\nfrom django.core.exceptions import ValidationError\nfrom django.db import transaction\nfrom django.db.models import Q\nfrom django.forms import ModelForm\nfrom django.utils.translation import ugettext_lazy as _\n... | diff --git a/sapl/comissoes/forms.py b/sapl/comissoes/forms.py
index 75b45c976..db1822e4a 100644
--- a/sapl/comissoes/forms.py
+++ b/sapl/comissoes/forms.py
@@ -100,7 +100,7 @@ def __init__(self, user=None, **kwargs):
exclude(id__in=id_part)
eligible = self.verifica()
result = list(set(qs... |
apache__airflow-39345 | webserver static file caching is disabled above 2.3.0 version.
### Apache Airflow version
Other Airflow 2 version (please specify below)
### If "Other Airflow 2 version" selected, which one?
2.3.x ~ 2.9.x
### What happened?
Recently, I migrated airflow version 2.2.0 to 2.9.0 and python 3.8 to 3.12.
and i experi... | [
{
"content": "#\n# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements. See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership. The ASF licenses this file\n# to you under the Apache License, Version 2.0 (th... | [
{
"content": "#\n# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements. See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership. The ASF licenses this file\n# to you under the Apache License, Version 2.0 (th... | diff --git a/airflow/www/app.py b/airflow/www/app.py
index 50e1ba2629786..eb4362d70bf33 100644
--- a/airflow/www/app.py
+++ b/airflow/www/app.py
@@ -121,6 +121,10 @@ def create_app(config=None, testing=False):
cookie_samesite_config = "Lax"
flask_app.config["SESSION_COOKIE_SAMESITE"] = cookie_samesite_con... |
Cog-Creators__Red-DiscordBot-3710 | `[p]alias add` should warn (or error) when passed command name doesn't exist
# Command bugs
#### Command name
`[p]alias (global) add aliasname non-existent-command`
#### What cog is this command from?
Alias
#### What were you expecting to happen?
I expected the cog to error out (or just send warning) ... | [
{
"content": "from copy import copy\nfrom re import findall, search\nfrom string import Formatter\nfrom typing import Generator, Tuple, Iterable, Optional\n\nimport discord\nfrom discord.ext.commands.view import StringView\nfrom redbot.core import Config, commands, checks\nfrom redbot.core.i18n import Translato... | [
{
"content": "from copy import copy\nfrom re import findall, search\nfrom string import Formatter\nfrom typing import Generator, Tuple, Iterable, Optional\n\nimport discord\nfrom discord.ext.commands.view import StringView\nfrom redbot.core import Config, commands, checks\nfrom redbot.core.i18n import Translato... | diff --git a/redbot/cogs/alias/alias.py b/redbot/cogs/alias/alias.py
index b1af67d254c..68025944d87 100644
--- a/redbot/cogs/alias/alias.py
+++ b/redbot/cogs/alias/alias.py
@@ -279,6 +279,13 @@ async def _add_alias(self, ctx: commands.Context, alias_name: str, *, command):
).format(name=alias_name)
... |
openstates__openstates-scrapers-1502 | AR scraper failing since at least 2017-03-11
State: AR - scraper has been failing since 2017-03-11
Based on automated runs it appears that AR has not run successfully in 2 days (2017-03-11).
```/usr/local/bin/billy-update ar``` | **failed during bills**
```
Traceback (most recent call last):
File "/opt/openstate... | [
{
"content": "import re\nimport csv\nimport StringIO\nimport datetime\n\nfrom billy.scrape.bills import BillScraper, Bill\nfrom billy.scrape.votes import Vote\n\nimport lxml.html\n\nimport scrapelib\n\n\ndef unicode_csv_reader(unicode_csv_data, dialect=csv.excel, **kwargs):\n # csv.py doesn't do Unicode; enc... | [
{
"content": "import re\nimport csv\nimport StringIO\nimport datetime\n\nfrom billy.scrape.bills import BillScraper, Bill\nfrom billy.scrape.votes import Vote\n\nimport lxml.html\n\nimport scrapelib\n\n\ndef unicode_csv_reader(unicode_csv_data, dialect=csv.excel, **kwargs):\n # csv.py doesn't do Unicode; enc... | diff --git a/openstates/ar/bills.py b/openstates/ar/bills.py
index 3be1c0cd65..cc893dd7be 100644
--- a/openstates/ar/bills.py
+++ b/openstates/ar/bills.py
@@ -69,7 +69,8 @@ def scrape_bill(self, chamber, session):
primary = row[11]
if not primary:
primary = row[12]
- ... |
readthedocs__readthedocs.org-5955 | Fix the count of total projects shown on the homepage
On the hompage (https://readthedocs.org/), we show the total count of the projects.
This number also includes projects ... | [
{
"content": "\"\"\"\nCore views.\n\nIncluding the main homepage, documentation and header rendering,\nand server errors.\n\"\"\"\n\nimport os\nimport logging\nfrom urllib.parse import urlparse\n\nfrom django.conf import settings\nfrom django.http import HttpResponseRedirect, Http404, JsonResponse\nfrom django.... | [
{
"content": "\"\"\"\nCore views.\n\nIncluding the main homepage, documentation and header rendering,\nand server errors.\n\"\"\"\n\nimport os\nimport logging\nfrom urllib.parse import urlparse\n\nfrom django.conf import settings\nfrom django.http import HttpResponseRedirect, Http404, JsonResponse\nfrom django.... | diff --git a/readthedocs/core/views/__init__.py b/readthedocs/core/views/__init__.py
index b4902e9c1d4..9af3688ccb2 100644
--- a/readthedocs/core/views/__init__.py
+++ b/readthedocs/core/views/__init__.py
@@ -42,7 +42,7 @@ def get_context_data(self, **kwargs):
"""Add latest builds and featured projects."""
... |
scikit-hep__pyhf-837 | bump jsonschema to v3.2.0+ to support draft 6
Currently on alpha release 3.0.x but can bump to 3.2.0 which was released.
| [
{
"content": "from setuptools import setup, find_packages\nfrom pathlib import Path\n\nthis_directory = Path(__file__).parent.resolve()\nwith open(Path(this_directory).joinpath('README.rst'), encoding='utf-8') as readme_rst:\n long_description = readme_rst.read()\n\nextras_require = {\n 'tensorflow': ['te... | [
{
"content": "from setuptools import setup, find_packages\nfrom pathlib import Path\n\nthis_directory = Path(__file__).parent.resolve()\nwith open(Path(this_directory).joinpath('README.rst'), encoding='utf-8') as readme_rst:\n long_description = readme_rst.read()\n\nextras_require = {\n 'tensorflow': ['te... | diff --git a/setup.py b/setup.py
index 0039b396fb..78af838f3b 100644
--- a/setup.py
+++ b/setup.py
@@ -96,7 +96,7 @@
'scipy', # requires numpy, which is required by pyhf and tensorflow
'click>=6.0', # for console scripts,
'tqdm', # for readxml
- 'jsonschema>=v3.0.0a2', # for utils,... |
psychopy__psychopy-4442 | Keyword argument `keepMatrix` is not a supported parameter name of method `ImageStim.draw`
This [LGTM.com error](https://lgtm.com/projects/g/psychopy/psychopy/alerts/?severity=error) originates here:
https://github.com/psychopy/psychopy/blob/5711431f37b0dc1b0449d7e7e975fa73911f9782/psychopy/visual/aperture.py#L171-L17... | [
{
"content": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\n\"\"\"Restrict a stimulus visibility area to a basic shape or list of vertices.\n\"\"\"\n\n# Part of the PsychoPy library\n# Copyright (C) 2002-2018 Jonathan Peirce (C) 2019-2021 Open Science Tools Ltd.\n# Distributed under the terms of the GNU Gen... | [
{
"content": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\n\"\"\"Restrict a stimulus visibility area to a basic shape or list of vertices.\n\"\"\"\n\n# Part of the PsychoPy library\n# Copyright (C) 2002-2018 Jonathan Peirce (C) 2019-2021 Open Science Tools Ltd.\n# Distributed under the terms of the GNU Gen... | diff --git a/psychopy/visual/aperture.py b/psychopy/visual/aperture.py
index 35b6cbb117..f8bf2ad983 100644
--- a/psychopy/visual/aperture.py
+++ b/psychopy/visual/aperture.py
@@ -164,7 +164,7 @@ def _reset(self):
GL.glStencilFunc(GL.GL_NEVER, 0, 0)
GL.glStencilOp(GL.GL_INCR, GL.GL_INCR, GL.GL_... |
rotki__rotki-2543 | aCRV token amount shown is double the actual amount
## Problem Definition
The Aave interst bearing CRV tokens are twice the amount shown on the Aave platform or the Etherscan. I think problem started around version V1.14.1
### System Description
Operating system: macOS BigSur
Rotki version: V1.15.0
| [
{
"content": "import logging\nimport operator\nfrom collections import defaultdict\nfrom dataclasses import dataclass, field\nfrom enum import Enum\nfrom importlib import import_module\nfrom pathlib import Path\nfrom typing import (\n TYPE_CHECKING,\n Any,\n Callable,\n DefaultDict,\n Dict,\n ... | [
{
"content": "import logging\nimport operator\nfrom collections import defaultdict\nfrom dataclasses import dataclass, field\nfrom enum import Enum\nfrom importlib import import_module\nfrom pathlib import Path\nfrom typing import (\n TYPE_CHECKING,\n Any,\n Callable,\n DefaultDict,\n Dict,\n ... | diff --git a/docs/changelog.rst b/docs/changelog.rst
index cac68c6314..c002484054 100755
--- a/docs/changelog.rst
+++ b/docs/changelog.rst
@@ -4,6 +4,7 @@ Changelog
* :feature:`2507` Users can now delete imported trades and deposit/withdrawals from crypto.com via the purge data UI.
* :bug:`2530` Poloniex should no ... |
ibis-project__ibis-4893 | bug: S3 Absolute Paths are Not Casted as pyarrow datasets
### What happened?
When trying to directly read a .parquet file in S3 I was getting a weird duckdb error...after a lot of testing I was able to determine that the `_generate_view_code.register` for full s3 paths to parquet files was not pointing to the S3 funct... | [
{
"content": "\"\"\"DuckDB backend.\"\"\"\n\nfrom __future__ import annotations\n\nimport ast\nimport itertools\nimport os\nimport warnings\nfrom pathlib import Path\nfrom typing import TYPE_CHECKING, Any, Iterator, Mapping, MutableMapping\n\nimport pyarrow as pa\nimport pyarrow.types as pat\nimport sqlalchemy ... | [
{
"content": "\"\"\"DuckDB backend.\"\"\"\n\nfrom __future__ import annotations\n\nimport ast\nimport itertools\nimport os\nimport warnings\nfrom pathlib import Path\nfrom typing import TYPE_CHECKING, Any, Iterator, Mapping, MutableMapping\n\nimport pyarrow as pa\nimport pyarrow.types as pat\nimport sqlalchemy ... | diff --git a/ibis/backends/duckdb/__init__.py b/ibis/backends/duckdb/__init__.py
index cb64f89c2e3e..269b41cb6a05 100644
--- a/ibis/backends/duckdb/__init__.py
+++ b/ibis/backends/duckdb/__init__.py
@@ -109,7 +109,7 @@ def _parquet_file_or_url(_, path, table_name=None, **kwargs):
return _parquet(f"parquet://{path}... |
mesonbuild__meson-3795 | Meson detects wrong framework for includes on macOS
When detecting the Qt dependency, which are `.framework`s on macOS, Meson sometimes detects the wrong `.framework` and uses that instead of the real one:
```
c++ -Imodules/modules@@qt_plugin@sha -Imodules -I../VLC/modules -I. -I../VLC/ -I../VLC/include -I/Applicat... | [
{
"content": "# Copyright 2013-2018 The Meson development team\n\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n\n# http://www.apache.org/licenses/LICENSE-2.0\n\n# Unless req... | [
{
"content": "# Copyright 2013-2018 The Meson development team\n\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n\n# http://www.apache.org/licenses/LICENSE-2.0\n\n# Unless req... | diff --git a/mesonbuild/dependencies/base.py b/mesonbuild/dependencies/base.py
index 151d2b9d823e..3bff0d231bc8 100644
--- a/mesonbuild/dependencies/base.py
+++ b/mesonbuild/dependencies/base.py
@@ -1003,7 +1003,7 @@ def detect(self, name, path):
for p in paths:
for d in os.listdir(p):
... |
DataDog__dd-trace-py-1847 | KeyError: 'split_by_domain'
```
File "/Users/viperfx/.pyenv/versions/scrumgenius-env-3.6/lib/python3.6/site-packages/requests/sessions.py", line 581, in post
return self.request('POST', url, data=data, json=json, **kwargs)
File "/Users/viperfx/.pyenv/versions/scrumgenius-env-3.6/lib/python3.6/site-packages/... | [
{
"content": "import requests\n\nfrom ddtrace.vendor.wrapt import wrap_function_wrapper as _w\n\nfrom .connection import _wrap_send\n\n\nclass TracedSession(requests.Session):\n \"\"\"TracedSession is a requests' Session that is already traced.\n You can use it if you want a finer grained control for your... | [
{
"content": "import requests\n\nfrom ddtrace.vendor.wrapt import wrap_function_wrapper as _w\n\nfrom ddtrace import config, Pin\n\nfrom .connection import _wrap_send\n\n\nclass TracedSession(requests.Session):\n \"\"\"TracedSession is a requests' Session that is already traced.\n You can use it if you wa... | diff --git a/ddtrace/contrib/requests/session.py b/ddtrace/contrib/requests/session.py
index 265cbd94f09..9bbf1344702 100644
--- a/ddtrace/contrib/requests/session.py
+++ b/ddtrace/contrib/requests/session.py
@@ -2,6 +2,8 @@
from ddtrace.vendor.wrapt import wrap_function_wrapper as _w
+from ddtrace import config, ... |
great-expectations__great_expectations-1417 | Use cleaner solution for non-truncating division in python 2
Prefer `from __future__ import division` to `1.*x/y`
| [
{
"content": "###\n# These schemas are used to ensure that we *never* take unexpected usage stats message and provide full transparency\n# about usage statistics. Please reach out to the Great Expectations with any questions!\n###\n\n\n# An anonymized string *must* be an md5 hash, so must have exactly 32 charac... | [
{
"content": "###\n# These schemas are used to ensure that we *never* take unexpected usage stats message and provide full transparency\n# about usage statistics. Please reach out to the Great Expectations with any questions!\n###\n\n\n# An anonymized string *must* be an md5 hash, so must have exactly 32 charac... | diff --git a/great_expectations/core/usage_statistics/schemas.py b/great_expectations/core/usage_statistics/schemas.py
index 2cfb2ad2372c..9a907432b593 100644
--- a/great_expectations/core/usage_statistics/schemas.py
+++ b/great_expectations/core/usage_statistics/schemas.py
@@ -515,7 +515,7 @@
... |
django-oscar__django-oscar-1914 | Recommended Products have no order
We can see ranking on Recommended products in Dashboard only.
There are no ordering on Product detail page.
Oscar master, Django 1.8
| [
{
"content": "import logging\nimport os\nfrom datetime import date, datetime\n\nfrom django.conf import settings\nfrom django.contrib.contenttypes.fields import GenericForeignKey\nfrom django.contrib.contenttypes.models import ContentType\nfrom django.contrib.staticfiles.finders import find\nfrom django.core.ca... | [
{
"content": "import logging\nimport os\nfrom datetime import date, datetime\n\nfrom django.conf import settings\nfrom django.contrib.contenttypes.fields import GenericForeignKey\nfrom django.contrib.contenttypes.models import ContentType\nfrom django.contrib.staticfiles.finders import find\nfrom django.core.ca... | diff --git a/src/oscar/apps/catalogue/abstract_models.py b/src/oscar/apps/catalogue/abstract_models.py
index 70fe043a209..3fe5b1f29ea 100644
--- a/src/oscar/apps/catalogue/abstract_models.py
+++ b/src/oscar/apps/catalogue/abstract_models.py
@@ -647,6 +647,12 @@ def is_review_permitted(self, user):
def num_approved... |
apache__airflow-22772 | LocalFileSystemToGCSOperator give false positive while copying file from src to dest, even when src has no file
### Apache Airflow Provider(s)
google
### Versions of Apache Airflow Providers
apache-airflow-providers-google==6.4.0
### Apache Airflow version
2.1.4
### Operating System
Debian GNU/Linux 10 (buster)
... | [
{
"content": "#\n# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements. See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership. The ASF licenses this file\n# to you under the Apache License, Version 2.0 (th... | [
{
"content": "#\n# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements. See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership. The ASF licenses this file\n# to you under the Apache License, Version 2.0 (th... | diff --git a/airflow/providers/google/cloud/transfers/local_to_gcs.py b/airflow/providers/google/cloud/transfers/local_to_gcs.py
index 4f0993763ae03..5ed84109e7e03 100644
--- a/airflow/providers/google/cloud/transfers/local_to_gcs.py
+++ b/airflow/providers/google/cloud/transfers/local_to_gcs.py
@@ -109,6 +109,8 @@ def... |
Pycord-Development__pycord-742 | discord.ext.pages.Paginator does not update current_page attribute when page is changed using Paginator.goto()
### Summary
When you do paginator.goto(<pagenum>), the value of current_page still stays the same. If it is not changed manually, then it will stay as 0, which is what it starts out as when the Paginator obje... | [
{
"content": "\"\"\"\nThe MIT License (MIT)\n\nCopyright (c) 2021-present Pycord Development\n\nPermission is hereby granted, free of charge, to any person obtaining a\ncopy of this software and associated documentation files (the \"Software\"),\nto deal in the Software without restriction, including without li... | [
{
"content": "\"\"\"\nThe MIT License (MIT)\n\nCopyright (c) 2021-present Pycord Development\n\nPermission is hereby granted, free of charge, to any person obtaining a\ncopy of this software and associated documentation files (the \"Software\"),\nto deal in the Software without restriction, including without li... | diff --git a/discord/ext/pages/pagination.py b/discord/ext/pages/pagination.py
index 8c726dcdf6..a05e857f9f 100644
--- a/discord/ext/pages/pagination.py
+++ b/discord/ext/pages/pagination.py
@@ -380,6 +380,12 @@ async def goto_page(self, page_number=0) -> discord.Message:
The message associated with the pa... |
pypa__pipenv-3585 | pipenv update fails (given PIPENV_PIPFILE is not found)
### Issue description
In a project where Pipfiles are not under current working directory, pipenv update fails.
In contrast, pipenv sync works well (if foo already contains a Pipfile.lock file). So the problem happens when trying to create Pipfile.lock.
``... | [
{
"content": "# -*- coding: utf-8 -*-\nimport base64\nimport fnmatch\nimport glob\nimport hashlib\nimport io\nimport json\nimport operator\nimport os\nimport re\nimport sys\n\nimport six\nimport toml\nimport tomlkit\nimport vistir\n\nfrom first import first\n\nimport pipfile\nimport pipfile.api\n\nfrom .vendor.... | [
{
"content": "# -*- coding: utf-8 -*-\nimport base64\nimport fnmatch\nimport glob\nimport hashlib\nimport io\nimport json\nimport operator\nimport os\nimport re\nimport sys\n\nimport six\nimport toml\nimport tomlkit\nimport vistir\n\nfrom first import first\n\nimport pipfile\nimport pipfile.api\n\nfrom .vendor.... | diff --git a/news/3584.bugfix.rst b/news/3584.bugfix.rst
new file mode 100644
index 0000000000..09684d1dcb
--- /dev/null
+++ b/news/3584.bugfix.rst
@@ -0,0 +1 @@
+Fix the issue that lock file can't be created when ``PIPENV_PIPFILE`` is not under working directory.
diff --git a/pipenv/project.py b/pipenv/project.py
inde... |
internetarchive__openlibrary-6773 | Change `librarian-work-merge` usergroup to more appropriate name
<!-- A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] -->
### Describe the problem that you'd like solved
<!-- A clear and concise description of what you want to happen. -->
Today, members of `/usergroup/lib... | [
{
"content": "\"\"\"Upstream customizations.\"\"\"\n\nimport datetime\nimport hashlib\nimport io\nimport json\nimport os.path\nimport random\n\nimport web\n\nfrom infogami import config\nfrom infogami.core import code as core\nfrom infogami.infobase import client\nfrom infogami.utils import delegate, app, types... | [
{
"content": "\"\"\"Upstream customizations.\"\"\"\n\nimport datetime\nimport hashlib\nimport io\nimport json\nimport os.path\nimport random\n\nimport web\n\nfrom infogami import config\nfrom infogami.core import code as core\nfrom infogami.infobase import client\nfrom infogami.utils import delegate, app, types... | diff --git a/conf/openlibrary.yml b/conf/openlibrary.yml
index 363a4aef884..cacb2083226 100644
--- a/conf/openlibrary.yml
+++ b/conf/openlibrary.yml
@@ -65,7 +65,7 @@ features:
lists: enabled
merge-authors:
filter: usergroup
- usergroup: /usergroup/librarian-work-merge
+ usergroup: /use... |
HypothesisWorks__hypothesis-756 | Inexplicable test failures on 3.13.0+
I have a test that looks something like this:
```python
@given(s.data(), fs.finapps(store))
@settings(suppress_health_check=[HealthCheck.too_slow])
def test(data, finapp):
pass
```
On Hypothesis 3.12.0 this works fine. On Hypothesis 3.13.0, every example is rejected, eve... | [
{
"content": "# coding=utf-8\n#\n# This file is part of Hypothesis, which may be found at\n# https://github.com/HypothesisWorks/hypothesis-python\n#\n# Most of this work is copyright (C) 2013-2017 David R. MacIver\n# (david@drmaciver.com), but it contains contributions by others. See\n# CONTRIBUTING.rst for a f... | [
{
"content": "# coding=utf-8\n#\n# This file is part of Hypothesis, which may be found at\n# https://github.com/HypothesisWorks/hypothesis-python\n#\n# Most of this work is copyright (C) 2013-2017 David R. MacIver\n# (david@drmaciver.com), but it contains contributions by others. See\n# CONTRIBUTING.rst for a f... | diff --git a/docs/changes.rst b/docs/changes.rst
index 3397560760..265283eede 100644
--- a/docs/changes.rst
+++ b/docs/changes.rst
@@ -21,6 +21,17 @@ Hypothesis APIs come in three flavours:
You should generally assume that an API is internal unless you have specific
information to the contrary.
+-------------------... |
WeblateOrg__weblate-6217 | Auth provider title and image override do not work for auth providers with '-' in it
**Describe the issue**
The new feature to override the name and image for an auth provider (introduced in 159ae591e91e7c2065ede9c39f14d743f5ab07e5) does not work for auth providers with '-' in them.
<!--
A clear and concise des... | [
{
"content": "#\n# Copyright © 2012 - 2021 Michal Čihař <michal@cihar.com>\n#\n# This file is part of Weblate <https://weblate.org/>\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation,... | [
{
"content": "#\n# Copyright © 2012 - 2021 Michal Čihař <michal@cihar.com>\n#\n# This file is part of Weblate <https://weblate.org/>\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation,... | diff --git a/weblate/accounts/templatetags/authnames.py b/weblate/accounts/templatetags/authnames.py
index a3259ec278a2..b4ba31a8f93e 100644
--- a/weblate/accounts/templatetags/authnames.py
+++ b/weblate/accounts/templatetags/authnames.py
@@ -72,8 +72,8 @@ def get_auth_params(auth: str):
# Settings override
... |
liqd__a4-meinberlin-3564 | moderators for b-plans
if an initiator starts a b-plan via meinBerlin (as e.g. SenWohn does, they don't have imperia) or an external project he/she is automatically added as moderator and gets mails as the one below. This is confusing because:
a) you don't see moderators in dashboard
b) you can't follow a b-plan/exte... | [
{
"content": "from django.contrib.auth import get_user_model\nfrom django.db.models import signals\nfrom django.dispatch import receiver\n\nfrom adhocracy4.actions.models import Action\nfrom adhocracy4.actions.verbs import Verbs\nfrom adhocracy4.dashboard import signals as dashboard_signals\nfrom adhocracy4.fol... | [
{
"content": "from django.contrib.auth import get_user_model\nfrom django.db.models import signals\nfrom django.dispatch import receiver\n\nfrom adhocracy4.actions.models import Action\nfrom adhocracy4.actions.verbs import Verbs\nfrom adhocracy4.dashboard import signals as dashboard_signals\nfrom adhocracy4.fol... | diff --git a/meinberlin/apps/notifications/signals.py b/meinberlin/apps/notifications/signals.py
index 3a0afbcfb4..41878e332b 100644
--- a/meinberlin/apps/notifications/signals.py
+++ b/meinberlin/apps/notifications/signals.py
@@ -25,7 +25,8 @@ def send_notifications(instance, created, **kwargs):
if action.pro... |
statsmodels__statsmodels-970 | lowes test failure Ubuntu
https://launchpadlibrarian.net/144807626/buildlog_ubuntu-raring-amd64.statsmodels_0.5.0~ppa17~revno-1430~raring1_UPLOADING.txt.gz
```
======================================================================
ERROR: statsmodels.nonparametric.tests.test_lowess.TestLowess.test_options
-------------... | [
{
"content": "# -*- coding: utf-8 -*-\n\"\"\"Lowess - wrapper for cythonized extension\n\nAuthor : Chris Jordan-Squire\nAuthor : Carl Vogel\nAuthor : Josef Perktold\n\n\"\"\"\n\nimport numpy as np\nfrom ._smoothers_lowess import lowess as _lowess\n\ndef lowess(endog, exog, frac=2.0/3.0, it=3, delta=0.0, is_sort... | [
{
"content": "# -*- coding: utf-8 -*-\n\"\"\"Lowess - wrapper for cythonized extension\n\nAuthor : Chris Jordan-Squire\nAuthor : Carl Vogel\nAuthor : Josef Perktold\n\n\"\"\"\n\nimport numpy as np\nfrom ._smoothers_lowess import lowess as _lowess\n\ndef lowess(endog, exog, frac=2.0/3.0, it=3, delta=0.0, is_sort... | diff --git a/statsmodels/nonparametric/smoothers_lowess.py b/statsmodels/nonparametric/smoothers_lowess.py
index b47aeedaa61..231ba900ad8 100644
--- a/statsmodels/nonparametric/smoothers_lowess.py
+++ b/statsmodels/nonparametric/smoothers_lowess.py
@@ -171,7 +171,7 @@ def lowess(endog, exog, frac=2.0/3.0, it=3, delta=0... |
engnadeau__pybotics-18 | Update examples
Examples are now out of sync with current codebase. Potential use for iPython?
| [
{
"content": "import copy\n\nimport pybotics as py\nimport numpy as np\n\n# set numpy print options\nnp.set_printoptions(precision=3)\nnp.set_printoptions(suppress=True)\n\n# create robot\nmodel = np.loadtxt('ur10-mdh.csv', delimiter=',')\nrobot = py.Robot(model)\n\nprint('Robot Model:\\n{}\\n'.format(robot.rob... | [
{
"content": null,
"path": "examples/example_robot.py"
}
] | diff --git a/README.md b/README.md
index 1748601e..a9797a9a 100644
--- a/README.md
+++ b/README.md
@@ -22,6 +22,8 @@ Python Toolbox for Robotics
## Usage
See [examples](examples) for usage examples.
+- [Kinematics](examples/example_kinematics.ipynb)
+
## Contributing
1. Fork it!
2. Create your feature branch
dif... |
akvo__akvo-rsr-3988 | Add result type to /project/:id/results/
We want to display whether the result is an Outcome, Impact, etc...
| [
{
"content": "# -*- coding: utf-8 -*-\n\"\"\"Akvo RSR is covered by the GNU Affero General Public License.\n\nSee more details in the license.txt file located at the root folder of the Akvo RSR module.\nFor additional details on the GNU license please see < http://www.gnu.org/licenses/agpl.html >.\n\"\"\"\n\nfr... | [
{
"content": "# -*- coding: utf-8 -*-\n\"\"\"Akvo RSR is covered by the GNU Affero General Public License.\n\nSee more details in the license.txt file located at the root folder of the Akvo RSR module.\nFor additional details on the GNU license please see < http://www.gnu.org/licenses/agpl.html >.\n\"\"\"\n\nfr... | diff --git a/akvo/rest/views/project_overview.py b/akvo/rest/views/project_overview.py
index 981d3c320f..d6d9f548aa 100644
--- a/akvo/rest/views/project_overview.py
+++ b/akvo/rest/views/project_overview.py
@@ -27,7 +27,12 @@ def project_results(request, pk):
'id': project.id,
'title': project.title,
... |
piskvorky__gensim-2106 | Turn off support of Google Style docstrings
**All docstrings should be refactored first**
To prevent contributors from using Google Style docstrings, we need to set
`napoleon_google_docstring = False`,
[like explained here](https://samnicholls.net/2016/06/15/how-to-sphinx-readthedocs/).
| [
{
"content": "# -*- coding: utf-8 -*-\n#\n# gensim documentation build configuration file, created by\n# sphinx-quickstart on Wed Mar 17 13:42:21 2010.\n#\n# This file is execfile()d with the current directory set to its containing dir.\n#\n# Note that not all possible configuration values are present in this\n... | [
{
"content": "# -*- coding: utf-8 -*-\n#\n# gensim documentation build configuration file, created by\n# sphinx-quickstart on Wed Mar 17 13:42:21 2010.\n#\n# This file is execfile()d with the current directory set to its containing dir.\n#\n# Note that not all possible configuration values are present in this\n... | diff --git a/docs/src/conf.py b/docs/src/conf.py
index 31d512262c..71eb9a9014 100644
--- a/docs/src/conf.py
+++ b/docs/src/conf.py
@@ -28,6 +28,8 @@
extensions = ['sphinx.ext.autodoc', 'sphinxcontrib.napoleon', 'sphinx.ext.imgmath', 'sphinxcontrib.programoutput']
autoclass_content = "both"
+napoleon_google_docstrin... |
searx__searx-1800 | [flickr_noapi] UnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in position 1: ordinal not in range(128)
Similar to #419
Installation: current master commit
How to reproduce? Search for "kek" on https://search.snopyta.org/ and click on "Images"
```
ERROR:flask.app:Exception on / [POST]
Traceback (most ... | [
{
"content": "#!/usr/bin/env python\n\n\"\"\"\n Flickr (Images)\n\n @website https://www.flickr.com\n @provide-api yes (https://secure.flickr.com/services/api/flickr.photos.search.html)\n\n @using-api no\n @results HTML\n @stable no\n @parse url, title, thumbnail, img_src\n\"\"\"\n\nfrom j... | [
{
"content": "#!/usr/bin/env python\n\n\"\"\"\n Flickr (Images)\n\n @website https://www.flickr.com\n @provide-api yes (https://secure.flickr.com/services/api/flickr.photos.search.html)\n\n @using-api no\n @results HTML\n @stable no\n @parse url, title, thumbnail, img_src\n\"\"\"\n\nfrom j... | diff --git a/searx/engines/flickr_noapi.py b/searx/engines/flickr_noapi.py
index e1abb378fa..c8ee34f7a5 100644
--- a/searx/engines/flickr_noapi.py
+++ b/searx/engines/flickr_noapi.py
@@ -118,9 +118,9 @@ def response(resp):
'template': 'images.html'
}
try:
- result['author'] = a... |
hylang__hy-2554 | An exemplar Hy program
When you have a new programming language, it really helps—for the purposes of advertising the language, of helping people learn how to use it, and of giving the language a broader and more practical test than unit tests—to have some kind of nontrivial program written in the language. I think I sp... | [
{
"content": "#!/usr/bin/env python\n\n# Set both `setup_requires` and `install_requires` with our\n# dependencies, since we need to compile Hy files during setup. And\n# put this as the first statement in the file so it's easy to parse\n# out without executing the file.\nrequires = [\n \"funcparserlib ~= 1.... | [
{
"content": "#!/usr/bin/env python\n\n# Set both `setup_requires` and `install_requires` with our\n# dependencies, since we need to compile Hy files during setup. And\n# put this as the first statement in the file so it's easy to parse\n# out without executing the file.\nrequires = [\n \"funcparserlib ~= 1.... | diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
index f1b2a7008..a2c32dec8 100644
--- a/.github/workflows/tests.yml
+++ b/.github/workflows/tests.yml
@@ -31,17 +31,17 @@ jobs:
steps:
- run: git config --global core.autocrlf false
- - uses: actions/checkout@v3
+ - uses: actions/c... |
certbot__certbot-782 | Failed Apache Parsing
From the community forums
Hi all,
I'm trying to get some certificates using the Let's Encrypt client for two domains on my Linux web server. The web server is Apache 2.4 under Debian 8 on a VPS. I've had the VPS for quite a long time - the initial install was in 2003 - and it's been upgraded thr... | [
{
"content": "\"\"\"ApacheParser is a member object of the ApacheConfigurator class.\"\"\"\nimport fnmatch\nimport itertools\nimport logging\nimport os\nimport re\nimport subprocess\n\nfrom letsencrypt import errors\n\n\nlogger = logging.getLogger(__name__)\n\n\nclass ApacheParser(object):\n \"\"\"Class hand... | [
{
"content": "\"\"\"ApacheParser is a member object of the ApacheConfigurator class.\"\"\"\nimport fnmatch\nimport itertools\nimport logging\nimport os\nimport re\nimport subprocess\n\nfrom letsencrypt import errors\n\n\nlogger = logging.getLogger(__name__)\n\n\nclass ApacheParser(object):\n \"\"\"Class hand... | diff --git a/letsencrypt-apache/letsencrypt_apache/parser.py b/letsencrypt-apache/letsencrypt_apache/parser.py
index d7dc3c42254..823d9794bec 100644
--- a/letsencrypt-apache/letsencrypt_apache/parser.py
+++ b/letsencrypt-apache/letsencrypt_apache/parser.py
@@ -394,6 +394,8 @@ def _get_include_path(self, arg):
... |
flairNLP__flair-1566 | ModelTrainer's training on SequenceTagger raises an `AssertionError: `
**Describe the bug**
I am unable to Train a `SequenceTagger` model using the `ModelTrainer` API. This was upon my attempt to train a NER Tagger. The `AssertionError` is raised after the completion of the first epoch.
**To Reproduce**
The format... | [
{
"content": "import logging\nfrom pathlib import Path\nfrom typing import List, Union, Optional, Callable, Dict\n\nimport numpy as np\nimport torch\nimport torch.nn\nimport torch.nn.functional as F\nfrom tabulate import tabulate\nfrom torch.nn.parameter import Parameter\nfrom torch.utils.data import DataLoader... | [
{
"content": "import logging\nfrom pathlib import Path\nfrom typing import List, Union, Optional, Callable, Dict\n\nimport numpy as np\nimport torch\nimport torch.nn\nimport torch.nn.functional as F\nfrom tabulate import tabulate\nfrom torch.nn.parameter import Parameter\nfrom torch.utils.data import DataLoader... | diff --git a/flair/models/sequence_tagger_model.py b/flair/models/sequence_tagger_model.py
index 8a4e0abcf9..7ca8ddae1d 100644
--- a/flair/models/sequence_tagger_model.py
+++ b/flair/models/sequence_tagger_model.py
@@ -112,6 +112,11 @@ def __init__(
# set the dictionaries
self.tag_dictionary: Dictio... |
lightly-ai__lightly-216 | Make transform settable in Lightly Dataset
Currently if one has created a Lightly Dataset and wants to apply transforms at a later stage, we have to do it as follows:
```
dataset = data.LightlyDataset(root="./", name='CIFAR10', download=True)
...
use dataset to train SimCLR model for example
...
test_transforms ... | [
{
"content": "\"\"\" Lightly Dataset \"\"\"\n\n# Copyright (c) 2020. Lightly AG and its affiliates.\n# All Rights Reserved\n\nimport os\nimport shutil\nfrom PIL import Image\nfrom typing import List, Union\n\nimport torch.utils.data as data\nimport torchvision.datasets as datasets\n\nfrom lightly.data._helpers ... | [
{
"content": "\"\"\" Lightly Dataset \"\"\"\n\n# Copyright (c) 2020. Lightly AG and its affiliates.\n# All Rights Reserved\n\nimport os\nimport shutil\nfrom PIL import Image\nfrom typing import List, Union\n\nimport torch.utils.data as data\nimport torchvision.datasets as datasets\n\nfrom lightly.data._helpers ... | diff --git a/lightly/data/dataset.py b/lightly/data/dataset.py
index 4f29dfa74..c07c7b05a 100644
--- a/lightly/data/dataset.py
+++ b/lightly/data/dataset.py
@@ -248,3 +248,17 @@ def dump(self,
# dump images
for i, filename in zip(indices, filenames):
_dump_image(self.dataset, output_dir, ... |
litestar-org__litestar-3476 | Bug: OpenAPI docs fail to generate with certain validators and pydantic v1
### Description
OpenAPI docs fail to generate when a request payload is a pydantic v1 model and has a str field with a validator combination of a default(or default_factory) and max_length. Removing any of the validators resolves the issue; i... | [
{
"content": "from __future__ import annotations\n\nfrom typing import TYPE_CHECKING, Any, Optional\n\nfrom typing_extensions import Annotated\n\nfrom litestar.contrib.pydantic.utils import (\n create_field_definitions_for_computed_fields,\n is_pydantic_2_model,\n is_pydantic_constrained_field,\n is... | [
{
"content": "from __future__ import annotations\n\nfrom typing import TYPE_CHECKING, Any, Optional\n\nfrom typing_extensions import Annotated\n\nfrom litestar.contrib.pydantic.utils import (\n create_field_definitions_for_computed_fields,\n is_pydantic_2_model,\n is_pydantic_constrained_field,\n is... | diff --git a/litestar/contrib/pydantic/pydantic_schema_plugin.py b/litestar/contrib/pydantic/pydantic_schema_plugin.py
index 5d7045e4f7..2eda65f2fc 100644
--- a/litestar/contrib/pydantic/pydantic_schema_plugin.py
+++ b/litestar/contrib/pydantic/pydantic_schema_plugin.py
@@ -286,7 +286,8 @@ def for_pydantic_model(cls, f... |
ansible__ansible-lint-303 | False Positive ANSIBLE0014 does not allow command:args:stdin
# Issue Type
- Bug report
# Ansible and Ansible Lint details
```
ansible --version
ansible 2.4.0.0
config file = /etc/ansible/ansible.cfg
configured module search path = [u'$HOME/.ansible/plugins/modules', u'/usr/share/ansible/plugins/modules']... | [
{
"content": "# Copyright (c) 2016 Will Thames <will@thames.id.au>\n#\n# Permission is hereby granted, free of charge, to any person obtaining a copy\n# of this software and associated documentation files (the \"Software\"), to deal\n# in the Software without restriction, including without limitation the rights... | [
{
"content": "# Copyright (c) 2016 Will Thames <will@thames.id.au>\n#\n# Permission is hereby granted, free of charge, to any person obtaining a copy\n# of this software and associated documentation files (the \"Software\"), to deal\n# in the Software without restriction, including without limitation the rights... | diff --git a/lib/ansiblelint/rules/EnvVarsInCommandRule.py b/lib/ansiblelint/rules/EnvVarsInCommandRule.py
index ef36eeb063..c2c7a780a8 100644
--- a/lib/ansiblelint/rules/EnvVarsInCommandRule.py
+++ b/lib/ansiblelint/rules/EnvVarsInCommandRule.py
@@ -29,7 +29,7 @@ class EnvVarsInCommandRule(AnsibleLintRule):
... |
flairNLP__flair-84 | ValueError when input has double spaces and flair does not use tokenizer
I found that flair will crash when using Sentence() with use_tokenizer=False (its default value) and the sentence string has a double-space, which causes an empty token and the following error on PyTorch:
(To reproduce the following, I changed ... | [
{
"content": "from typing import List, Dict\n\nimport torch\n\nfrom collections import Counter\nfrom collections import defaultdict\n\nfrom segtok.segmenter import split_single\nfrom segtok.tokenizer import split_contractions\nfrom segtok.tokenizer import word_tokenizer\n\n\nclass Dictionary:\n \"\"\"\n T... | [
{
"content": "from typing import List, Dict\n\nimport torch\n\nfrom collections import Counter\nfrom collections import defaultdict\n\nfrom segtok.segmenter import split_single\nfrom segtok.tokenizer import split_contractions\nfrom segtok.tokenizer import word_tokenizer\n\n\nclass Dictionary:\n \"\"\"\n T... | diff --git a/flair/data.py b/flair/data.py
index f02825f7a9..ad2afa54ad 100644
--- a/flair/data.py
+++ b/flair/data.py
@@ -236,8 +236,9 @@ def __init__(self, text: str = None, use_tokenizer: bool = False, labels: List[L
else:
# add each word in tokenized string as Token object to Sentence
... |
fedora-infra__bodhi-2990 | The search bar does not work in staging
I have so far been unable to reproduce the problem in the development environment, but I am unable to get the search bar to work in staging. It seems that the code in ```bodhi/server/static/js/search.js``` does not get executed on page load, but I do not know why yet.
| [
{
"content": "# Copyright © 2013-2019 Red Hat, Inc. and others.\n#\n# This file is part of Bodhi.\n#\n# This program is free software; you can redistribute it and/or\n# modify it under the terms of the GNU General Public License\n# as published by the Free Software Foundation; either version 2\n# of the License... | [
{
"content": "# Copyright © 2013-2019 Red Hat, Inc. and others.\n#\n# This file is part of Bodhi.\n#\n# This program is free software; you can redistribute it and/or\n# modify it under the terms of the GNU General Public License\n# as published by the Free Software Foundation; either version 2\n# of the License... | diff --git a/bodhi/server/config.py b/bodhi/server/config.py
index 967e8d6e83..c9f93b1180 100644
--- a/bodhi/server/config.py
+++ b/bodhi/server/config.py
@@ -428,6 +428,9 @@ class BodhiConfig(dict):
'fedmsg_enabled': {
'value': False,
'validator': _validate_bool},
+ 'fedmsg_ga... |
netbox-community__netbox-9018 | Filtering for child devices by parent device
### NetBox version
v3.1.5
### Feature type
Change to existing functionality
### Proposed functionality
I think a query option to identify all child devices of a parent device would be a good enhancement. For example to find all blade server associated with an enclosure ... | [
{
"content": "import django_filters\nfrom django.contrib.auth.models import User\n\nfrom extras.filters import TagFilter\nfrom extras.filtersets import LocalConfigContextFilterSet\nfrom ipam.models import ASN\nfrom netbox.filtersets import (\n BaseFilterSet, ChangeLoggedModelFilterSet, OrganizationalModelFil... | [
{
"content": "import django_filters\nfrom django.contrib.auth.models import User\n\nfrom extras.filters import TagFilter\nfrom extras.filtersets import LocalConfigContextFilterSet\nfrom ipam.models import ASN\nfrom netbox.filtersets import (\n BaseFilterSet, ChangeLoggedModelFilterSet, OrganizationalModelFil... | diff --git a/netbox/dcim/filtersets.py b/netbox/dcim/filtersets.py
index 504ad69ca6f..534a7176282 100644
--- a/netbox/dcim/filtersets.py
+++ b/netbox/dcim/filtersets.py
@@ -639,6 +639,11 @@ class DeviceFilterSet(PrimaryModelFilterSet, TenancyFilterSet, ContactModelFilte
to_field_name='slug',
label='Ro... |
microsoft__ptvsd-641 | Errors logged on VSTS
```
2018-07-05T19:13:17.5780150Z .Traceback (most recent call last):
2018-07-05T19:13:17.5795340Z File "/Users/vsts/agent/2.134.2/work/1/s/ptvsd/_vendored/pydevd/_pydevd_bundle/pydevd_process_net_command.py", line 749, in process_net_command
2018-07-05T19:13:17.5813150Z py_db.enable_outp... | [
{
"content": "from _pydevd_bundle import pydevd_constants\n\nIS_PY3K = pydevd_constants.IS_PY3K\n\nclass IORedirector:\n '''\n This class works to wrap a stream (stdout/stderr) with an additional redirect.\n '''\n\n def __init__(self, original, new_redirect, wrap_buffer=False):\n '''\n ... | [
{
"content": "from _pydevd_bundle import pydevd_constants\n\nIS_PY3K = pydevd_constants.IS_PY3K\n\nclass IORedirector:\n '''\n This class works to wrap a stream (stdout/stderr) with an additional redirect.\n '''\n\n def __init__(self, original, new_redirect, wrap_buffer=False):\n '''\n ... | diff --git a/ptvsd/_vendored/pydevd/_pydevd_bundle/pydevd_io.py b/ptvsd/_vendored/pydevd/_pydevd_bundle/pydevd_io.py
index 9a6ddf3c4..8e4859a9f 100644
--- a/ptvsd/_vendored/pydevd/_pydevd_bundle/pydevd_io.py
+++ b/ptvsd/_vendored/pydevd/_pydevd_bundle/pydevd_io.py
@@ -20,7 +20,7 @@ def __init__(self, original, new_redi... |
secdev__scapy-3198 | 100% CPU load with Pipetools on 2.4.5
#### Brief description
While sniffing for probe requests on a wireless interface on a Raspberry Pi 4 Model B Rev 1.4, one CPU core is constantly 100% busy.
#### Environment
- Scapy version: 2.4.5 / master branch
- Python version: 3.7.3
- Operating System: Raspbian ... | [
{
"content": "# This file is part of Scapy\n# See http://www.secdev.org/projects/scapy for more information\n# Copyright (C) Philippe Biondi <phil@secdev.org>\n# This program is published under a GPLv2 license\n\nfrom __future__ import print_function\nimport os\nimport subprocess\nimport time\nimport scapy.modu... | [
{
"content": "# This file is part of Scapy\n# See http://www.secdev.org/projects/scapy for more information\n# Copyright (C) Philippe Biondi <phil@secdev.org>\n# This program is published under a GPLv2 license\n\nfrom __future__ import print_function\nimport os\nimport subprocess\nimport time\nimport scapy.modu... | diff --git a/scapy/pipetool.py b/scapy/pipetool.py
index aa49c46ff72..89fe7bae03e 100644
--- a/scapy/pipetool.py
+++ b/scapy/pipetool.py
@@ -108,7 +108,7 @@ def run(self):
RUN = True
STOP_IF_EXHAUSTED = False
while RUN and (not STOP_IF_EXHAUSTED or len(sources) > 1):
- ... |
searxng__searxng-83 | Bug: engine "archive is" reports HTTP 404 / Not found
**Version of SearXNG, commit number if you are using on master branch and stipulate if you forked SearXNG**
1970d28a
**Technical report**
Error
* Error: httpx.HTTPStatusError
* Percentage: 100
* Parameters: `('404', 'Not Found', 'archive.is')`
*... | [
{
"content": "# SPDX-License-Identifier: AGPL-3.0-or-later\n\nfrom lxml import html\nfrom urllib.parse import urlencode\nfrom searx.utils import extract_text, extract_url, eval_xpath, eval_xpath_list\n\nsearch_url = None\nurl_xpath = None\ncontent_xpath = None\ntitle_xpath = None\nthumbnail_xpath = False\npagin... | [
{
"content": "# SPDX-License-Identifier: AGPL-3.0-or-later\n\nfrom lxml import html\nfrom urllib.parse import urlencode\nfrom searx.utils import extract_text, extract_url, eval_xpath, eval_xpath_list\n\nsearch_url = None\nurl_xpath = None\ncontent_xpath = None\ntitle_xpath = None\nthumbnail_xpath = False\npagin... | diff --git a/searx/engines/xpath.py b/searx/engines/xpath.py
index 612f69abd4b..b215c2ba1ec 100644
--- a/searx/engines/xpath.py
+++ b/searx/engines/xpath.py
@@ -14,6 +14,7 @@
results_xpath = ''
cached_xpath = ''
cached_url = ''
+soft_max_redirects = 0
# parameters for engines with paging support
#
@@ -33,6 +34,7... |
google__turbinia-809 | GrepTask issue
```
2021-04-28 17:13:25 [ERROR] GrepTask Task failed with exception: [a bytes-like object is required, not 'str']
2021-04-28 17:13:25 [ERROR] Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/turbinia-20210330-py3.6.egg/turbinia/workers/__init__.py", line 893, in run_wr... | [
{
"content": "# -*- coding: utf-8 -*-\n# Copyright 2015 Google Inc.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# U... | [
{
"content": "# -*- coding: utf-8 -*-\n# Copyright 2015 Google Inc.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# U... | diff --git a/turbinia/workers/grep.py b/turbinia/workers/grep.py
index dace82dd2..43e2bf025 100644
--- a/turbinia/workers/grep.py
+++ b/turbinia/workers/grep.py
@@ -46,7 +46,7 @@ def run(self, evidence, result):
# Used as input to grep (-f).
with NamedTemporaryFile(dir=self.output_dir, delete=False) as fh:
... |
psychopy__psychopy-1937 | MovieStim3 do not stop playing the audio when stop() is called
## Problem
MovieStim3 do not stop playing the audio stream though stop is called.
I'm not sure if the problem was caused by large video files (the used file was 215 MB) or the music followed.
## Example code to reproduce issue
- [Download the use... | [
{
"content": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\n\"\"\"\nA stimulus class for playing movies (mp4, divx, avi etc...) in PsychoPy.\nDemo using the experimental movie3 stim to play a video file. Path of video\nneeds to updated to point to a video you have. movie2 does /not/ require\navbin to be ins... | [
{
"content": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\n\"\"\"\nA stimulus class for playing movies (mp4, divx, avi etc...) in PsychoPy.\nDemo using the experimental movie3 stim to play a video file. Path of video\nneeds to updated to point to a video you have. movie2 does /not/ require\navbin to be ins... | diff --git a/psychopy/visual/movie3.py b/psychopy/visual/movie3.py
index d04a14b997..d63b52da0d 100644
--- a/psychopy/visual/movie3.py
+++ b/psychopy/visual/movie3.py
@@ -472,9 +472,12 @@ def _unload(self):
self.clearTextures()
except Exception:
pass
- self._mov.close()
+ ... |
e-valuation__EvaP-1360 | Remove AtLeastOne contributor constraint
We have a constraint that every evaluation must have at least one contributor. This was useful to define at least one person with access to the results.
Now, evaluations belong to courses which must have at least one responsible. This responsible can access the results also whe... | [
{
"content": "import logging\n\nfrom django import forms\nfrom django.contrib.auth.models import Group\nfrom django.core.exceptions import SuspiciousOperation, ValidationError\nfrom django.db.models import Q, Max\nfrom django.forms.models import BaseInlineFormSet\nfrom django.forms.widgets import CheckboxSelect... | [
{
"content": "import logging\n\nfrom django import forms\nfrom django.contrib.auth.models import Group\nfrom django.core.exceptions import SuspiciousOperation, ValidationError\nfrom django.db.models import Q, Max\nfrom django.forms.models import BaseInlineFormSet\nfrom django.forms.widgets import CheckboxSelect... | diff --git a/evap/staff/forms.py b/evap/staff/forms.py
index 7f5c883682..5922503f13 100644
--- a/evap/staff/forms.py
+++ b/evap/staff/forms.py
@@ -511,7 +511,7 @@ def clean(self):
raise forms.ValidationError(_('You must have at least one of these.'))
-class ContributionFormSet(AtLeastOneFormSet):
+clas... |
qtile__qtile-180 | using Qtile.cmd_{info, debug} doesn't switch logging level
It seems that critical, warning, and error do all work, though.
| [
{
"content": "import logging\nimport os\nimport sys\nfrom logging import getLogger, StreamHandler\n\n\nclass ColorFormatter(logging.Formatter):\n \"\"\"Logging formatter adding console colors to the output.\n \"\"\"\n black, red, green, yellow, blue, magenta, cyan, white = range(8)\n colors = {\n ... | [
{
"content": "import logging\nimport os\nimport sys\nfrom logging import getLogger, StreamHandler\n\n\nclass ColorFormatter(logging.Formatter):\n \"\"\"Logging formatter adding console colors to the output.\n \"\"\"\n black, red, green, yellow, blue, magenta, cyan, white = range(8)\n colors = {\n ... | diff --git a/libqtile/log_utils.py b/libqtile/log_utils.py
index e633801b95..4f906fddbb 100644
--- a/libqtile/log_utils.py
+++ b/libqtile/log_utils.py
@@ -43,7 +43,6 @@ def format(self, record):
def init_log(log_level=logging.WARNING, logger='qtile'):
handler = logging.FileHandler(
os.path.expanduser('~/... |
feast-dev__feast-3217 | Unable to apply parquet dataset from s3
## Expected Behavior
We point our file source to a parquet dataset:
```python
file_source = FileSource(
name="dummy_file_source",
path="s3://data/dummy/"),
timestamp_field="event_timestamp",
created_timestamp_column="created",
file_format=ParquetForma... | [
{
"content": "from typing import Callable, Dict, Iterable, List, Optional, Tuple\n\nfrom pyarrow._fs import FileSystem\nfrom pyarrow._s3fs import S3FileSystem\nfrom pyarrow.parquet import ParquetDataset\nfrom typeguard import typechecked\n\nfrom feast import type_map\nfrom feast.data_format import FileFormat, P... | [
{
"content": "from typing import Callable, Dict, Iterable, List, Optional, Tuple\n\nfrom pyarrow._fs import FileSystem\nfrom pyarrow._s3fs import S3FileSystem\nfrom pyarrow.parquet import ParquetDataset\nfrom typeguard import typechecked\n\nfrom feast import type_map\nfrom feast.data_format import FileFormat, P... | diff --git a/sdk/python/feast/infra/offline_stores/file_source.py b/sdk/python/feast/infra/offline_stores/file_source.py
index 135409ed04a..81a83c22457 100644
--- a/sdk/python/feast/infra/offline_stores/file_source.py
+++ b/sdk/python/feast/infra/offline_stores/file_source.py
@@ -160,9 +160,7 @@ def get_table_column_na... |
celery__celery-8312 | Why has the CLI worker command flag `optimizations` changed from `--optimizations` in 5.*?
This question is referencing this code:
https://github.com/celery/celery/blob/3b1c768c39f641a70d3086bd5a1079a421f94344/celery/bin/worker.py#L169
```
@click.option('optimization',
'-O',
default='... | [
{
"content": "\"\"\"Program used to start a Celery worker instance.\"\"\"\n\nimport os\nimport sys\n\nimport click\nfrom click import ParamType\nfrom click.types import StringParamType\n\nfrom celery import concurrency\nfrom celery.bin.base import (COMMA_SEPARATED_LIST, LOG_LEVEL, CeleryDaemonCommand, CeleryOpt... | [
{
"content": "\"\"\"Program used to start a Celery worker instance.\"\"\"\n\nimport os\nimport sys\n\nimport click\nfrom click import ParamType\nfrom click.types import StringParamType\n\nfrom celery import concurrency\nfrom celery.bin.base import (COMMA_SEPARATED_LIST, LOG_LEVEL, CeleryDaemonCommand, CeleryOpt... | diff --git a/celery/bin/worker.py b/celery/bin/worker.py
index 9dd1582030e..0cc3d6664cc 100644
--- a/celery/bin/worker.py
+++ b/celery/bin/worker.py
@@ -166,8 +166,8 @@ def detach(path, argv, logfile=None, pidfile=None, uid=None,
type=LOG_LEVEL,
help_group="Worker Options",
... |
netbox-community__netbox-1656 | Further explicit field references found
<!--
Before opening a new issue, please search through the existing issues to
see if your topic has already been addressed. Note that you may need to
remove the "is:open" filter from the search bar to include closed issues.
Check the appropriate type for you... | [
{
"content": "from __future__ import unicode_literals\nimport os\n\nfrom Crypto.Cipher import AES, PKCS1_OAEP\nfrom Crypto.PublicKey import RSA\nfrom Crypto.Util import strxor\n\nfrom django.conf import settings\nfrom django.contrib.auth.hashers import make_password, check_password\nfrom django.contrib.auth.mod... | [
{
"content": "from __future__ import unicode_literals\nimport os\n\nfrom Crypto.Cipher import AES, PKCS1_OAEP\nfrom Crypto.PublicKey import RSA\nfrom Crypto.Util import strxor\n\nfrom django.conf import settings\nfrom django.contrib.auth.hashers import make_password, check_password\nfrom django.contrib.auth.mod... | diff --git a/netbox/secrets/models.py b/netbox/secrets/models.py
index ded93ed58ca..317fe0dd5ad 100644
--- a/netbox/secrets/models.py
+++ b/netbox/secrets/models.py
@@ -286,6 +286,9 @@ def __init__(self, *args, **kwargs):
super(Secret, self).__init__(*args, **kwargs)
def __str__(self):
+ if self.... |
cloud-custodian__cloud-custodian-3627 | Guard-duty filter is not returning master information
Version = 0.8.42.0
Issue = When using the following guardduty filter it for a member account it is not returning the master account information.
```
filters:
- type: guard-duty
Detector.Status: ENABLED
Master.AccountId: "xxx"
... | [
{
"content": "# Copyright 2016-2017 Capital One Services, LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless requi... | [
{
"content": "# Copyright 2016-2017 Capital One Services, LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless requi... | diff --git a/c7n/resources/account.py b/c7n/resources/account.py
index 293c4783774..721fccd7eb1 100644
--- a/c7n/resources/account.py
+++ b/c7n/resources/account.py
@@ -236,7 +236,7 @@ def get_target(self, resource):
detector = client.get_detector(DetectorId=detector_id)
detector.pop('ResponseMetada... |
localstack__localstack-3683 | EventBridge PutEvents not working when Detail is missing
# Type of request: This is a ...
[X ] bug report
[ ] feature request
# Detailed description
Calling PutEvents operation returns 500 if no `Detail` is specified. This case is similar to #3043
## Expected behavior
According to the doc https://docs.aws.a... | [
{
"content": "import re\nimport datetime\nimport json\nimport uuid\nimport logging\nimport ipaddress\nfrom moto.events.models import Rule as rule_model\nfrom moto.events.responses import EventsHandler as events_handler\nfrom localstack import config\nfrom localstack.constants import APPLICATION_AMZ_JSON_1_1, TE... | [
{
"content": "import re\nimport datetime\nimport json\nimport uuid\nimport logging\nimport ipaddress\nfrom moto.events.models import Rule as rule_model\nfrom moto.events.responses import EventsHandler as events_handler\nfrom localstack import config\nfrom localstack.constants import APPLICATION_AMZ_JSON_1_1, TE... | diff --git a/localstack/services/events/events_starter.py b/localstack/services/events/events_starter.py
index 4aa5ce3ce3ced..d8c4b8c72453d 100644
--- a/localstack/services/events/events_starter.py
+++ b/localstack/services/events/events_starter.py
@@ -155,7 +155,7 @@ def events_handler_put_events(self):
... |
Gallopsled__pwntools-2374 | Only download debug symbols if ELF does not contain them already
Currently the `libcdb.unstrip_libc` function always looks for debug symbols online and tries to merge them into the libc. This is unnecessary and adding some `ELF.debuginfo` property to know if an ELF contains debug info would help.
| [
{
"content": "\"\"\"\nFetch a LIBC binary based on some heuristics.\n\"\"\"\nfrom __future__ import absolute_import\nfrom __future__ import division\n\nimport os\nimport time\nimport six\nimport tempfile\n\nfrom pwnlib.context import context\nfrom pwnlib.elf import ELF\nfrom pwnlib.filesystem.path import Path\n... | [
{
"content": "\"\"\"\nFetch a LIBC binary based on some heuristics.\n\"\"\"\nfrom __future__ import absolute_import\nfrom __future__ import division\n\nimport os\nimport time\nimport six\nimport tempfile\n\nfrom pwnlib.context import context\nfrom pwnlib.elf import ELF\nfrom pwnlib.filesystem.path import Path\n... | diff --git a/CHANGELOG.md b/CHANGELOG.md
index e253c3cf3..2bd84bd4c 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -72,8 +72,10 @@ The table below shows which release corresponds to each branch, and what date th
## 4.14.0 (`dev`)
- [#2356][2356] Add local libc database provider for libcdb
+- [#2374][2374] libcdb.u... |
ivy-llc__ivy-21352 | softsign
| [
{
"content": "# global\nimport ivy\nfrom ivy import (\n with_supported_dtypes,\n with_unsupported_dtypes,\n with_supported_device_and_dtypes,\n)\nfrom ivy.functional.frontends.tensorflow import check_tensorflow_casting\nfrom ivy.functional.frontends.tensorflow.func_wrapper import (\n to_ivy_arrays_a... | [
{
"content": "# global\nimport ivy\nfrom ivy import (\n with_supported_dtypes,\n with_unsupported_dtypes,\n with_supported_device_and_dtypes,\n)\nfrom ivy.functional.frontends.tensorflow import check_tensorflow_casting\nfrom ivy.functional.frontends.tensorflow.func_wrapper import (\n to_ivy_arrays_a... | diff --git a/ivy/functional/frontends/tensorflow/math.py b/ivy/functional/frontends/tensorflow/math.py
index f9c10585d7a5b..050d91b8b203a 100644
--- a/ivy/functional/frontends/tensorflow/math.py
+++ b/ivy/functional/frontends/tensorflow/math.py
@@ -791,3 +791,11 @@ def l2_normalize(x, axis=None, epsilon=1e-12, name=Non... |
liberapay__liberapay.com-2085 | Commas with Conditional Sentences
I've seen a bunch of sentences that don't have a comma after the dependent clause (`if`); they should. See:
- https://www.ego4u.com/en/cram-up/writing/comma?10
- https://www.grammarly.com/blog/conditional-sentences/
- https://english.stackexchange.com/questions/6786/comma-in-condi... | [
{
"content": "from dependency_injection import resolve_dependencies\nfrom pando import Response\n\nfrom .constants import PASSWORD_MIN_SIZE, PASSWORD_MAX_SIZE\n\n\nclass NextAction(Exception):\n def __init__(self, intent):\n self.__dict__.update(intent.next_action)\n self.client_secret = intent... | [
{
"content": "from dependency_injection import resolve_dependencies\nfrom pando import Response\n\nfrom .constants import PASSWORD_MIN_SIZE, PASSWORD_MAX_SIZE\n\n\nclass NextAction(Exception):\n def __init__(self, intent):\n self.__dict__.update(intent.next_action)\n self.client_secret = intent... | diff --git a/emails/once/mangopay-exodus.spt b/emails/once/mangopay-exodus.spt
index adf29f3710..0d8afb58c7 100644
--- a/emails/once/mangopay-exodus.spt
+++ b/emails/once/mangopay-exodus.spt
@@ -10,11 +10,11 @@ If you use Liberapay as a donor the first choice is recommended, especially if y
For example, if you’re do... |
Cog-Creators__Red-DiscordBot-4588 | Modlog API raises when trying to get a case if bot can't read message history in modlog channel
# Other bugs
#### What were you trying to do?
Get a case with `[p]case` command.
#### What were you expecting to happen?
Get a case.
#### What actually happened?
I got an error:
```py
Exception in command... | [
{
"content": "from __future__ import annotations\n\nimport asyncio\nimport logging\nfrom datetime import datetime, timedelta, timezone\nfrom typing import List, Literal, Union, Optional, cast, TYPE_CHECKING\n\nimport discord\n\nfrom redbot.core import Config\nfrom .utils import AsyncIter\nfrom .utils.common_fil... | [
{
"content": "from __future__ import annotations\n\nimport asyncio\nimport logging\nfrom datetime import datetime, timedelta, timezone\nfrom typing import List, Literal, Union, Optional, cast, TYPE_CHECKING\n\nimport discord\n\nfrom redbot.core import Config\nfrom .utils import AsyncIter\nfrom .utils.common_fil... | diff --git a/redbot/core/modlog.py b/redbot/core/modlog.py
index 6f35362add0..51fdf85950b 100644
--- a/redbot/core/modlog.py
+++ b/redbot/core/modlog.py
@@ -554,7 +554,7 @@ async def from_json(
if message is None:
try:
message = await mod_channel.fetch_mess... |
ipython__ipython-10316 | Autoreload Enum Error
I'm getting a weird error when trying to use autoreload and Enums. I have an Enum class defined in a file as:
```python
class MyEnum(Enum):
A = 'A'
B = 'B'
```
Using `%autoreload 2`, if I try to add `C = 'C'` to `MyEnum`, or remove an existing definition, I get the following error:
... | [
{
"content": "\"\"\"IPython extension to reload modules before executing user code.\n\n``autoreload`` reloads modules automatically before entering the execution of\ncode typed at the IPython prompt.\n\nThis makes for example the following workflow possible:\n\n.. sourcecode:: ipython\n\n In [1]: %load_ext au... | [
{
"content": "\"\"\"IPython extension to reload modules before executing user code.\n\n``autoreload`` reloads modules automatically before entering the execution of\ncode typed at the IPython prompt.\n\nThis makes for example the following workflow possible:\n\n.. sourcecode:: ipython\n\n In [1]: %load_ext au... | diff --git a/IPython/extensions/autoreload.py b/IPython/extensions/autoreload.py
index 517c1f19a83..4dfc3b929d9 100644
--- a/IPython/extensions/autoreload.py
+++ b/IPython/extensions/autoreload.py
@@ -278,9 +278,10 @@ def update_class(old, new):
method code objects"""
for key in list(old.__dict__.keys()):
... |
spotify__luigi-1064 | Handle UnicodeDecodeError on write to Postgres.
Unfortunately, I don't have a good automated test to show this, but the following simple example returns a UnicodeDecodeError with the current `postgres.py` in master when it attempts to write the third row (or any text with extended Unicode characters).
```
#coding: utf... | [
{
"content": "# -*- coding: utf-8 -*-\n#\n# Copyright 2012-2015 Spotify AB\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n#... | [
{
"content": "# -*- coding: utf-8 -*-\n#\n# Copyright 2012-2015 Spotify AB\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n#... | diff --git a/luigi/postgres.py b/luigi/postgres.py
index 97571058f5..f745707cda 100644
--- a/luigi/postgres.py
+++ b/luigi/postgres.py
@@ -256,12 +256,8 @@ def map_column(self, value):
"""
if value in self.null_values:
return r'\N'
- elif six.PY3:
- return default_escape... |
encode__starlette-33 | Error serving static files larger than 4096 bytes
Static files larger than 4096 bytes do not appear to be served correctly.
Here's a test I just wrote that illustrates the problem: https://github.com/simonw/starlette/commit/e2d6665fa5c32e77a3fe22836b14620a7f5999bb
Running that test gives me the following output:
... | [
{
"content": "from aiofiles.os import stat as aio_stat\nfrom email.utils import formatdate\nfrom mimetypes import guess_type\nfrom starlette.datastructures import MutableHeaders\nfrom starlette.types import Receive, Send\nimport aiofiles\nimport json\nimport hashlib\nimport os\nimport stat\nimport typing\n\n\nc... | [
{
"content": "from aiofiles.os import stat as aio_stat\nfrom email.utils import formatdate\nfrom mimetypes import guess_type\nfrom starlette.datastructures import MutableHeaders\nfrom starlette.types import Receive, Send\nimport aiofiles\nimport json\nimport hashlib\nimport os\nimport stat\nimport typing\n\n\nc... | diff --git a/starlette/response.py b/starlette/response.py
index db5bac8cb..f189ef31d 100644
--- a/starlette/response.py
+++ b/starlette/response.py
@@ -177,5 +177,9 @@ async def __call__(self, receive: Receive, send: Send) -> None:
chunk = await file.read(self.chunk_size)
more_body = ... |
encode__django-rest-framework-7217 | ViewSet extra action detection is too permissive.
## Checklist
- [x] I have verified that that issue exists against the `master` branch of Django REST framework.
- [x] I have searched for similar issues in both open and closed tickets and cannot find a duplicate.
- [x] This is not a usage question. (Those should b... | [
{
"content": "\"\"\"\nViewSets are essentially just a type of class based view, that doesn't provide\nany method handlers, such as `get()`, `post()`, etc... but instead has actions,\nsuch as `list()`, `retrieve()`, `create()`, etc...\n\nActions are only bound to methods at the point of instantiating the views.\... | [
{
"content": "\"\"\"\nViewSets are essentially just a type of class based view, that doesn't provide\nany method handlers, such as `get()`, `post()`, etc... but instead has actions,\nsuch as `list()`, `retrieve()`, `create()`, etc...\n\nActions are only bound to methods at the point of instantiating the views.\... | diff --git a/rest_framework/viewsets.py b/rest_framework/viewsets.py
index d94c81df4d..244c14d396 100644
--- a/rest_framework/viewsets.py
+++ b/rest_framework/viewsets.py
@@ -25,11 +25,12 @@
from django.views.decorators.csrf import csrf_exempt
from rest_framework import generics, mixins, views
+from rest_framework.... |
pymedusa__Medusa-3047 | [APP SUBMITTED]: AttributeError: 'NavigableString' object has no attribute 'span'
### INFO
**Python Version**: `2.7.13 (v2.7.13:a06454b1afa1, Dec 17 2016, 20:53:40) [MSC v.1500 64 bit (AMD64)]`
**Operating System**: `Windows-10-10.0.15063`
**Locale**: `cp1252`
**Branch**: [develop](../tree/develop)
**Database**: `44.8`... | [
{
"content": "# coding=utf-8\n\n\"\"\"Provider code for Limetorrents.\"\"\"\n\nfrom __future__ import unicode_literals\n\nimport logging\nimport re\nimport traceback\n\nfrom contextlib2 import suppress\n\nfrom medusa import tv\nfrom medusa.bs4_parser import BS4Parser\nfrom medusa.helper.common import (\n con... | [
{
"content": "# coding=utf-8\n\n\"\"\"Provider code for Limetorrents.\"\"\"\n\nfrom __future__ import unicode_literals\n\nimport logging\nimport re\nimport traceback\n\nfrom contextlib2 import suppress\n\nfrom medusa import tv\nfrom medusa.bs4_parser import BS4Parser\nfrom medusa.helper.common import (\n con... | diff --git a/medusa/providers/torrent/html/limetorrents.py b/medusa/providers/torrent/html/limetorrents.py
index dc9f8ebfc8..4a18ff6222 100644
--- a/medusa/providers/torrent/html/limetorrents.py
+++ b/medusa/providers/torrent/html/limetorrents.py
@@ -121,7 +121,7 @@ def process_column_header(th):
retur... |
pypa__pip-5319 | "Requirement not upgraded as not directly required" for packages that are up-to-date
* Pip version: 10.0.0
* Python version: 2.7.14
* Operating system: Ubuntu 17.10
### Description:
When I run `pip install -U <package>` for some package (e.g. ansible), pip outputs a lot of messages like
```
Requirement not ... | [
{
"content": "\"\"\"Dependency Resolution\n\nThe dependency resolution in pip is performed as follows:\n\nfor top-level requirements:\n a. only one spec allowed per project, regardless of conflicts or not.\n otherwise a \"double requirement\" exception is raised\n b. they override sub-dependency req... | [
{
"content": "\"\"\"Dependency Resolution\n\nThe dependency resolution in pip is performed as follows:\n\nfor top-level requirements:\n a. only one spec allowed per project, regardless of conflicts or not.\n otherwise a \"double requirement\" exception is raised\n b. they override sub-dependency req... | diff --git a/news/5319.feature b/news/5319.feature
new file mode 100644
index 00000000000..25041dcdbe8
--- /dev/null
+++ b/news/5319.feature
@@ -0,0 +1 @@
+Improve status message when upgrade is skipped due to only-if-needed strategy
diff --git a/src/pip/_internal/resolve.py b/src/pip/_internal/resolve.py
index 3200fca... |
Chia-Network__chia-blockchain-16099 | [Bug] Chia Plots Check fails on 2.0.0-rc5 when Parallel Decompressor Count set to 0
### What happened?
reported by Ultrajones (https://discord.com/channels/1034523881404370984/1099818017908592660/1141527857462530068) and nanofarmer (https://discord.com/channels/1034523881404370984/1034870571864948777/11417758748788737... | [
{
"content": "from __future__ import annotations\n\nimport concurrent.futures\nimport logging\nimport multiprocessing\nfrom collections import Counter\nfrom pathlib import Path\nfrom threading import Lock\nfrom time import sleep, time\nfrom typing import List, Optional\n\nfrom blspy import G1Element\nfrom chiap... | [
{
"content": "from __future__ import annotations\n\nimport concurrent.futures\nimport logging\nimport multiprocessing\nfrom collections import Counter\nfrom pathlib import Path\nfrom threading import Lock\nfrom time import sleep, time\nfrom typing import List, Optional\n\nfrom blspy import G1Element\nfrom chiap... | diff --git a/chia/plotting/check_plots.py b/chia/plotting/check_plots.py
index 50763a7ab1dc..50f4e1d2203e 100644
--- a/chia/plotting/check_plots.py
+++ b/chia/plotting/check_plots.py
@@ -240,7 +240,7 @@ def process_plot(plot_path: Path, plot_info: PlotInfo, num_start: int, num_end:
)
b... |
saleor__saleor-4917 | Problem with filtering products
### What I'm trying to achieve
I want to filter out products from grocerries category but I receive results even when I should not.
### Steps to reproduce the problem
In groceries category there are two beers that have `abv` attribute with values: 51(5,1% alc) and 67(6,75 alc) but w... | [
{
"content": "from collections import defaultdict\n\nimport django_filters\nfrom django.db.models import Q, Sum\nfrom graphene_django.filter import GlobalIDFilter, GlobalIDMultipleChoiceFilter\n\nfrom ...product.filters import (\n T_PRODUCT_FILTER_QUERIES,\n filter_products_by_attributes_values,\n)\nfrom ... | [
{
"content": "from collections import defaultdict\n\nimport django_filters\nfrom django.db.models import Q, Sum\nfrom graphene_django.filter import GlobalIDFilter, GlobalIDMultipleChoiceFilter\n\nfrom ...product.filters import (\n T_PRODUCT_FILTER_QUERIES,\n filter_products_by_attributes_values,\n)\nfrom ... | diff --git a/saleor/graphql/product/filters.py b/saleor/graphql/product/filters.py
index c6dc2d1282c..fccea172703 100644
--- a/saleor/graphql/product/filters.py
+++ b/saleor/graphql/product/filters.py
@@ -51,7 +51,7 @@ def _clean_product_attributes_filter_input(filter_value) -> T_PRODUCT_FILTER_QUE
if attr_nam... |
aio-libs__aiohttp-7785 | RuntimeError: await wasn't used with future
### Describe the bug
This is a strange one, as it's not something that has ever happened to me, but one of my users reported as an reoccurring issue. There's no real repro steps. It seems like it's something wrong with my code, but I can't pin-point exactly what it is, and... | [
{
"content": "\"\"\"HTTP Client for asyncio.\"\"\"\n\nimport asyncio\nimport base64\nimport dataclasses\nimport hashlib\nimport json\nimport os\nimport sys\nimport traceback\nimport warnings\nfrom contextlib import suppress\nfrom types import SimpleNamespace, TracebackType\nfrom typing import (\n TYPE_CHECKI... | [
{
"content": "\"\"\"HTTP Client for asyncio.\"\"\"\n\nimport asyncio\nimport base64\nimport dataclasses\nimport hashlib\nimport json\nimport os\nimport sys\nimport traceback\nimport warnings\nfrom contextlib import suppress\nfrom types import SimpleNamespace, TracebackType\nfrom typing import (\n TYPE_CHECKI... | diff --git a/CHANGES/7785.bugfix b/CHANGES/7785.bugfix
new file mode 100644
index 00000000000..c24a5594c2f
--- /dev/null
+++ b/CHANGES/7785.bugfix
@@ -0,0 +1 @@
+Fixed a rare `RuntimeError: await wasn't used with future` exception -- by :user:`stalkerg`
diff --git a/aiohttp/client.py b/aiohttp/client.py
index 549b8c52b... |
pwndbg__pwndbg-341 | "This command is not documented."
It looks like we lost documentation via `help` at some point in time. This is related to #232
```
pwndbg> help search
This command is not documented.
```
| [
{
"content": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\nfrom __future__ import unicode_literals\n\nimport argparse\nimport functools\n\nimport gdb\n\nimport pwndbg.chain\nimport pwndbg.color\nim... | [
{
"content": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\nfrom __future__ import unicode_literals\n\nimport argparse\nimport functools\n\nimport gdb\n\nimport pwndbg.chain\nimport pwndbg.color\nim... | diff --git a/pwndbg/commands/__init__.py b/pwndbg/commands/__init__.py
index 2c570f9916c..f53fb233da6 100644
--- a/pwndbg/commands/__init__.py
+++ b/pwndbg/commands/__init__.py
@@ -206,7 +206,7 @@ class _ArgparsedCommand(Command):
def __init__(self, parser, function, *a, **kw):
self.parser = parser
... |
ARM-DOE__ACT-517 | PSL Wind Profile Reader Hardcoded to CTD site
Line 38 in io.noaapsl.read_psl_wind_profiler is hardcoded to the CTD site, we should automatically read the site code in and parse off of that or update to pass in a site name.
| [
{
"content": "\"\"\"\nModules for reading in NOAA PSL data.\n\"\"\"\n\nfrom datetime import datetime\nfrom itertools import groupby\n\nimport fsspec\nimport numpy as np\nimport pandas as pd\nimport xarray as xr\n\n\ndef read_psl_wind_profiler(filename, transpose=True):\n \"\"\"\n Returns `xarray.Dataset` ... | [
{
"content": "\"\"\"\nModules for reading in NOAA PSL data.\n\"\"\"\n\nfrom datetime import datetime\nfrom itertools import groupby\n\nimport fsspec\nimport numpy as np\nimport pandas as pd\nimport xarray as xr\n\n\ndef read_psl_wind_profiler(filename, transpose=True):\n \"\"\"\n Returns `xarray.Dataset` ... | diff --git a/act/io/noaapsl.py b/act/io/noaapsl.py
index 3ed6b5efe0..8868ff3226 100644
--- a/act/io/noaapsl.py
+++ b/act/io/noaapsl.py
@@ -34,8 +34,11 @@ def read_psl_wind_profiler(filename, transpose=True):
# read file with pandas for preparation.
df = pd.read_csv(filename, header=None)
+ # The first en... |
bridgecrewio__checkov-4886 | Wrong filename if using --output-file-path option
When setting the output path using `--output-file-path output_directory` checkov reports
```
Wrote output in SARIF format to the file 'results.sarif'
```
But inside the output_directory the filename is written as **results_sarif.sarif**.
Additionally it would... | [
{
"content": "from __future__ import annotations\n\nimport argparse\nimport itertools\nimport json\nimport logging\nimport os\nimport re\n\nfrom collections import defaultdict\nfrom collections.abc import Iterable\nfrom pathlib import Path\nfrom typing import List, Dict, Any, Optional, cast, TYPE_CHECKING, Type... | [
{
"content": "from __future__ import annotations\n\nimport argparse\nimport itertools\nimport json\nimport logging\nimport os\nimport re\n\nfrom collections import defaultdict\nfrom collections.abc import Iterable\nfrom pathlib import Path\nfrom typing import List, Dict, Any, Optional, cast, TYPE_CHECKING, Type... | diff --git a/checkov/common/runners/runner_registry.py b/checkov/common/runners/runner_registry.py
index 11f9b892d2..9aea65a9ba 100644
--- a/checkov/common/runners/runner_registry.py
+++ b/checkov/common/runners/runner_registry.py
@@ -409,8 +409,9 @@ def print_reports(
))
if output_f... |
open-telemetry__opentelemetry-python-3769 | PeriodicExportingMetricReader: Incorrect ValueError message of not accepting infinity as interval value
When an invalid value is entered as `interval` for PeriodicExportingMetricReader, there is an error message generated [here](https://github.com/open-telemetry/opentelemetry-python/blob/8ed71b15fb8fc9534529da8ce4a21e6... | [
{
"content": "# Copyright The OpenTelemetry Authors\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by... | [
{
"content": "# Copyright The OpenTelemetry Authors\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by... | diff --git a/CHANGELOG.md b/CHANGELOG.md
index 0f9d6613214..50e6f2125d1 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -11,6 +11,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
([#3751](https://github.com/open-telemetry/opentelemetry-python/pull/3751))
- bump mypy to 0.982
... |
python-telegram-bot__python-telegram-bot-869 | Commands and \n after aren't processed by CommandHandler
<!--
Thanks for reporting issues of python-telegram-bot!
Use this template to notify us if you found a bug, or if you want to request a new feature.
If you're looking for help with programming your bot using our library, feel free to ask your
questions in o... | [
{
"content": "#!/usr/bin/env python\n#\n# A library that provides a Python interface to the Telegram Bot API\n# Copyright (C) 2015-2017\n# Leandro Toledo de Souza <devs@python-telegram-bot.org>\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU Lesser Pub... | [
{
"content": "#!/usr/bin/env python\n#\n# A library that provides a Python interface to the Telegram Bot API\n# Copyright (C) 2015-2017\n# Leandro Toledo de Souza <devs@python-telegram-bot.org>\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU Lesser Pub... | diff --git a/telegram/ext/commandhandler.py b/telegram/ext/commandhandler.py
index b33dc7959f4..feb5c7c0406 100644
--- a/telegram/ext/commandhandler.py
+++ b/telegram/ext/commandhandler.py
@@ -134,7 +134,7 @@ def check_update(self, update):
message = update.message or update.edited_message
i... |
ckan__ckan-2896 | Problems with translations in plugins
(This came up together with #2893, see there for more details)
I found two issues regarding translations in plugins:
1. `ckan.lib.plugins.DefaultTranslation.i18n_directory` relies on the extension package's `__file__` attribute (`ckanext.my_extension.__file__`). However, many exte... | [
{
"content": "import logging\nimport os\nimport sys\n\nfrom pylons import c\nfrom ckan.lib import base\nimport ckan.lib.maintain as maintain\nfrom ckan import logic\nimport logic.schema\nfrom ckan import plugins\nimport ckan.authz\nimport ckan.plugins.toolkit as toolkit\n\nlog = logging.getLogger(__name__)\n\n#... | [
{
"content": "import logging\nimport os\nimport sys\n\nfrom pylons import c\nfrom ckan.lib import base\nimport ckan.lib.maintain as maintain\nfrom ckan import logic\nimport logic.schema\nfrom ckan import plugins\nimport ckan.authz\nimport ckan.plugins.toolkit as toolkit\n\nlog = logging.getLogger(__name__)\n\n#... | diff --git a/ckan/lib/plugins.py b/ckan/lib/plugins.py
index a5e576938d1..132e5b4598f 100644
--- a/ckan/lib/plugins.py
+++ b/ckan/lib/plugins.py
@@ -537,7 +537,7 @@ def i18n_directory(self):
i18n/
'''
# assume plugin is called ckanext.<myplugin>.<...>.PluginClass
- extension_module_nam... |
ydataai__ydata-profiling-1440 | [BUG] 🐛 `TypeCheckError` thrown when initialising a report
### Current Behaviour
Error thrown when initialising a report:
``` txt
TypeCheckError: argument "config_file" (None) did not match any element in the union:
pathlib.Path: is not an instance of pathlib.Path
str: is not an instance of str
```
### Ex... | [
{
"content": "import copy\nimport json\nimport warnings\nfrom pathlib import Path\nfrom typing import Any, Optional, Union\n\ntry:\n from pyspark.sql import DataFrame as sDataFrame\nexcept: # noqa: E722\n from typing import TypeVar\n\n sDataFrame = TypeVar(\"sDataFrame\") # type: ignore\n\nfrom datac... | [
{
"content": "import copy\nimport json\nimport warnings\nfrom pathlib import Path\nfrom typing import Any, Optional, Union\n\ntry:\n from pyspark.sql import DataFrame as sDataFrame\nexcept: # noqa: E722\n from typing import TypeVar\n\n sDataFrame = TypeVar(\"sDataFrame\") # type: ignore\n\nfrom datac... | diff --git a/src/ydata_profiling/profile_report.py b/src/ydata_profiling/profile_report.py
index 0be5c78a3..48f2559f8 100644
--- a/src/ydata_profiling/profile_report.py
+++ b/src/ydata_profiling/profile_report.py
@@ -67,7 +67,7 @@ def __init__(
dark_mode: bool = False,
orange_mode: bool = False,
... |
PennyLaneAI__pennylane-2060 | Raise exception or warning when `qml.adjoint` is used on operation list instead of function.
The newer `qml.adjoint` function does not have any effect when acting on operation lists like in the following example:
```python
params = list(range(4))
qml.adjoint(qml.templates.AngleEmbedding(params))
```
Users might tr... | [
{
"content": "# Copyright 2018-2021 Xanadu Quantum Technologies Inc.\r\n\r\n# Licensed under the Apache License, Version 2.0 (the \"License\");\r\n# you may not use this file except in compliance with the License.\r\n# You may obtain a copy of the License at\r\n\r\n# http://www.apache.org/licenses/LICENSE-2... | [
{
"content": "# Copyright 2018-2021 Xanadu Quantum Technologies Inc.\r\n\r\n# Licensed under the Apache License, Version 2.0 (the \"License\");\r\n# you may not use this file except in compliance with the License.\r\n# You may obtain a copy of the License at\r\n\r\n# http://www.apache.org/licenses/LICENSE-2... | diff --git a/doc/releases/changelog-dev.md b/doc/releases/changelog-dev.md
index ab4d6fc8d91..51ba7850e01 100644
--- a/doc/releases/changelog-dev.md
+++ b/doc/releases/changelog-dev.md
@@ -148,6 +148,45 @@
<h3>Improvements</h3>
+* The `adjoint` transform now raises and error whenever the object it is applied to
+ ... |
biolab__orange3-3109 | owsql: Wrong auto-discovered DiscreteVariable values
##### Orange version
3.14.0 dev
##### Expected behavior
SQL Table correctly discovers categorical variables.
##### Actual behavior
`DiscreteVariable` values for char fields have additional with space on the end.
##### Steps to reproduce the behavior
SQL ... | [
{
"content": "import logging\nimport re\nimport warnings\nfrom contextlib import contextmanager\nfrom time import time\n\nfrom psycopg2 import Error, OperationalError\nfrom psycopg2.pool import ThreadedConnectionPool\n\nfrom Orange.data import ContinuousVariable, DiscreteVariable, StringVariable, TimeVariable\n... | [
{
"content": "import logging\nimport re\nimport warnings\nfrom contextlib import contextmanager\nfrom time import time\n\nfrom psycopg2 import Error, OperationalError\nfrom psycopg2.pool import ThreadedConnectionPool\n\nfrom Orange.data import ContinuousVariable, DiscreteVariable, StringVariable, TimeVariable\n... | diff --git a/Orange/data/sql/backend/postgres.py b/Orange/data/sql/backend/postgres.py
index 6e99f98e653..c1d7f3dcbd4 100644
--- a/Orange/data/sql/backend/postgres.py
+++ b/Orange/data/sql/backend/postgres.py
@@ -165,6 +165,8 @@ def _guess_variable(self, field_name, field_metadata, inspect_table):
if type_code... |
scikit-image__scikit-image-2869 | Improper computation of `centroid` in `measure._moments`
I noticed that the test suite `test_moments.py` did not properly cover cases where `center=None` (its default) in `moments_central`. As the adjusted test failed, I decided to create a test for `centroid` (called to compute the center of the image when none was pr... | [
{
"content": "# coding: utf-8\nfrom __future__ import division\nimport numpy as np\nfrom . import _moments_cy\nimport itertools\nfrom warnings import warn\n\n\ndef moments(image, order=3):\n \"\"\"Calculate all raw image moments up to a certain order.\n\n The following properties can be calculated from ra... | [
{
"content": "# coding: utf-8\nfrom __future__ import division\nimport numpy as np\nfrom . import _moments_cy\nimport itertools\nfrom warnings import warn\n\n\ndef moments(image, order=3):\n \"\"\"Calculate all raw image moments up to a certain order.\n\n The following properties can be calculated from ra... | diff --git a/skimage/measure/_moments.py b/skimage/measure/_moments.py
index 7dfccb2ba6d..4b00ffffa9b 100644
--- a/skimage/measure/_moments.py
+++ b/skimage/measure/_moments.py
@@ -235,7 +235,9 @@ def centroid(image):
The centroid of the (nonzero) pixels in ``image``.
"""
M = moments_central(image, c... |
scikit-hep__awkward-2216 | IndexError: boolean index did not match indexed array in awkward 2.x vs 1.x
### Version of Awkward Array
2.0.6
### Description and code to reproduce
Following up on my previous report, I've found another case where the behavior varies from awkward 1.x to 2.x in an unexpected manner. The rough outline is that I'm try... | [
{
"content": "# BSD 3-Clause License; see https://github.com/scikit-hep/awkward-1.0/blob/main/LICENSE\n\nfrom __future__ import annotations\n\nimport awkward as ak\nfrom awkward._backends import Backend\nfrom awkward._errors import wrap_error\nfrom awkward._nplikes import nplike_of, to_nplike\nfrom awkward._npl... | [
{
"content": "# BSD 3-Clause License; see https://github.com/scikit-hep/awkward-1.0/blob/main/LICENSE\n\nfrom __future__ import annotations\n\nimport awkward as ak\nfrom awkward._backends import Backend\nfrom awkward._errors import wrap_error\nfrom awkward._nplikes import nplike_of, to_nplike\nfrom awkward._npl... | diff --git a/src/awkward/_slicing.py b/src/awkward/_slicing.py
index 1361440303..48e931fb98 100644
--- a/src/awkward/_slicing.py
+++ b/src/awkward/_slicing.py
@@ -440,6 +440,7 @@ def _normalise_item_bool_to_int(item: Content, backend: Backend) -> Content:
and np.issubdtype(item.content.dtype, np.bool_)
):... |
celery__celery-6294 | Make redis use of sorted sets for group results opt-out
Following up on #6245 - can we make the use of sorted set opt-out for 5.0 as discussed? In particular, this would simply be a change to the default value of the config value, and associated changes to tests and doco merged in #6245.
| [
{
"content": "\"\"\"Redis result store backend.\"\"\"\nimport time\nfrom contextlib import contextmanager\nfrom functools import partial\nfrom ssl import CERT_NONE, CERT_OPTIONAL, CERT_REQUIRED\nfrom urllib.parse import unquote\n\nfrom kombu.utils.functional import retry_over_time\nfrom kombu.utils.objects impo... | [
{
"content": "\"\"\"Redis result store backend.\"\"\"\nimport time\nfrom contextlib import contextmanager\nfrom functools import partial\nfrom ssl import CERT_NONE, CERT_OPTIONAL, CERT_REQUIRED\nfrom urllib.parse import unquote\n\nfrom kombu.utils.functional import retry_over_time\nfrom kombu.utils.objects impo... | diff --git a/celery/backends/redis.py b/celery/backends/redis.py
index ef5dde20eb1..13100f1b4ea 100644
--- a/celery/backends/redis.py
+++ b/celery/backends/redis.py
@@ -405,7 +405,7 @@ def _chord_zset(self):
transport_options = self.app.conf.get(
'result_backend_transport_options', {}
)
-... |
encode__httpx-1503 | CertTypes `keyfile` and `password` should be Optional types.
`SSLContext.load_cert_chain` can take `None` as arguments values ([docs](https://docs.python.org/3/library/ssl.html#ssl.SSLContext.load_cert_chain)) so I guess this:
https://github.com/encode/httpx/blob/c09e61d50c8f169187cada6dbf14b89c7763c63f/httpx/_types.p... | [
{
"content": "\"\"\"\nType definitions for type checking purposes.\n\"\"\"\n\nimport ssl\nfrom http.cookiejar import CookieJar\nfrom typing import (\n IO,\n TYPE_CHECKING,\n AsyncIterable,\n Callable,\n Dict,\n Iterable,\n List,\n Mapping,\n Optional,\n Sequence,\n Tuple,\n U... | [
{
"content": "\"\"\"\nType definitions for type checking purposes.\n\"\"\"\n\nimport ssl\nfrom http.cookiejar import CookieJar\nfrom typing import (\n IO,\n TYPE_CHECKING,\n AsyncIterable,\n Callable,\n Dict,\n Iterable,\n List,\n Mapping,\n Optional,\n Sequence,\n Tuple,\n U... | diff --git a/httpx/_types.py b/httpx/_types.py
index 7768bac11b..385f89ddb9 100644
--- a/httpx/_types.py
+++ b/httpx/_types.py
@@ -51,7 +51,14 @@
CookieTypes = Union["Cookies", CookieJar, Dict[str, str], List[Tuple[str, str]]]
-CertTypes = Union[str, Tuple[str, str], Tuple[str, str, str]]
+CertTypes = Union[
+ ... |
digitalfabrik__integreat-cms-284 | Include tailwind.css via npm instead of static file
At the moment, we include tailwind.css as a static file in our repo.
Instead, we should use [the recommended installation via npm](https://tailwindcss.com/docs/installation/) where we can configure exactly which parts we need and compile a minified css file in our de... | [
{
"content": "from django.contrib.auth.decorators import login_required\nfrom django.shortcuts import render\nfrom django.utils.decorators import method_decorator\nfrom django.views.generic import TemplateView\n\nfrom ...decorators import region_permission_required\nfrom ...models import Document\n\n\n@method_d... | [
{
"content": "from django.contrib.auth.decorators import login_required\nfrom django.shortcuts import render\nfrom django.utils.decorators import method_decorator\nfrom django.views.generic import TemplateView\n\nfrom ...decorators import region_permission_required\nfrom ...models import Document\n\n\n@method_d... | diff --git a/.gitignore b/.gitignore
index 1372e0537f..aacf8eaa1f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -32,6 +32,8 @@ backend/cms/migrations/*
# Compressed JS & CSS Files
backend/cms/static/CACHE/
backend/cms/static/css/style.min.css
+backend/cms/static/css/style.css
+backend/cms/static/css/style.css.map
#... |
ansible__ansible-38194 | Invalid yml causes include_vars to hang or freeze without output
<!---
Verify first that your issue/request is not already reported on GitHub.
Also test if the latest release, and devel branch are affected too.
Always add information AFTER of these html comments.
-->
I made some attempt to sift through the 3,511... | [
{
"content": "# (c) 2016, Allen Sanabria <asanabria@linuxdynasty.org>\n#\n# This file is part of Ansible\n#\n# Ansible is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License,... | [
{
"content": "# (c) 2016, Allen Sanabria <asanabria@linuxdynasty.org>\n#\n# This file is part of Ansible\n#\n# Ansible is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License,... | diff --git a/lib/ansible/plugins/action/include_vars.py b/lib/ansible/plugins/action/include_vars.py
index 7ef24e9b3a6c2c..8897f87af11255 100644
--- a/lib/ansible/plugins/action/include_vars.py
+++ b/lib/ansible/plugins/action/include_vars.py
@@ -236,7 +236,7 @@ def _load_files(self, filename, validate_extensions=False... |
dynaconf__dynaconf-808 | [bug] dynaconf[vault] fails with new hvac
**Describe the bug**
dynaconf[vault] is not able to work with new `hvac` 1.0.0+
`DeprecationWarning` turned into `AttributeError`
This:
```
DeprecationWarning: Call to deprecated function 'auth_approle'. This method will be removed in version '0.12.0' Please use the 'log... | [
{
"content": "# docker run -e 'VAULT_DEV_ROOT_TOKEN_ID=myroot' -p 8200:8200 vault\n# pip install hvac\nfrom __future__ import annotations\n\nfrom dynaconf.utils import build_env_list\nfrom dynaconf.utils.parse_conf import parse_conf_data\n\ntry:\n import boto3\nexcept ImportError:\n boto3 = None\n\ntry:\n... | [
{
"content": "# docker run -e 'VAULT_DEV_ROOT_TOKEN_ID=myroot' -p 8200:8200 vault\n# pip install hvac\nfrom __future__ import annotations\n\nfrom dynaconf.utils import build_env_list\nfrom dynaconf.utils.parse_conf import parse_conf_data\n\ntry:\n import boto3\nexcept ImportError:\n boto3 = None\n\ntry:\n... | diff --git a/dynaconf/loaders/vault_loader.py b/dynaconf/loaders/vault_loader.py
index c6b168316..d816ffc63 100644
--- a/dynaconf/loaders/vault_loader.py
+++ b/dynaconf/loaders/vault_loader.py
@@ -33,7 +33,7 @@ def get_client(obj):
**{k: v for k, v in obj.VAULT_FOR_DYNACONF.items() if v is not None}
)
... |
pydantic__pydantic-1542 | UUID validation fails when provided with 16-byte string
I'm trying to utilize [fastapi](https://github.com/tiangolo/fastapi) + [sqlalchemy](https://github.com/sqlalchemy) which uses pydantic. My sqlalchemy column type is BINARY(16) mapping to that exact type in a MariaDB/MySQL database:
`uuid = Column(BINARY(16), nu... | [
{
"content": "import re\nimport sys\nfrom collections import OrderedDict\nfrom collections.abc import Hashable\nfrom datetime import date, datetime, time, timedelta\nfrom decimal import Decimal, DecimalException\nfrom enum import Enum, IntEnum\nfrom ipaddress import IPv4Address, IPv4Interface, IPv4Network, IPv6... | [
{
"content": "import re\nimport sys\nfrom collections import OrderedDict\nfrom collections.abc import Hashable\nfrom datetime import date, datetime, time, timedelta\nfrom decimal import Decimal, DecimalException\nfrom enum import Enum, IntEnum\nfrom ipaddress import IPv4Address, IPv4Interface, IPv4Network, IPv6... | diff --git a/changes/1541-shawnwall.md b/changes/1541-shawnwall.md
new file mode 100644
index 00000000000..02936f02e0c
--- /dev/null
+++ b/changes/1541-shawnwall.md
@@ -0,0 +1 @@
+Added support for UUID instantiation through 16 byte strings such as `b'\x12\x34\x56\x78' * 4`. This was done to support `BINARY(16)` column... |
NVIDIA__NeMo-5681 | Enable gpu device selection in ClusteringDiarizer()
Can you add the ability to select the GPU device when using [ClusteringDiarizer](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/asr/models/clustering_diarizer.py)? Currently, it always gets mapped to GPU 0 but it seems like that should be configurable unles... | [
{
"content": "# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.... | [
{
"content": "# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.... | diff --git a/examples/speaker_tasks/diarization/conf/inference/diar_infer_general.yaml b/examples/speaker_tasks/diarization/conf/inference/diar_infer_general.yaml
index 8036e2882b71..a4bfa167f103 100644
--- a/examples/speaker_tasks/diarization/conf/inference/diar_infer_general.yaml
+++ b/examples/speaker_tasks/diarizat... |
ivy-llc__ivy-16484 | bitwise_and
| [
{
"content": "# global\nimport ivy\nimport ivy.functional.frontends.paddle as paddle\nfrom ivy.func_wrapper import (\n with_unsupported_dtypes,\n handle_out_argument,\n with_supported_dtypes,\n)\nfrom ivy.functional.frontends.paddle.func_wrapper import (\n to_ivy_arrays_and_back,\n)\n\n\n@with_unsup... | [
{
"content": "# global\nimport ivy\nimport ivy.functional.frontends.paddle as paddle\nfrom ivy.func_wrapper import (\n with_unsupported_dtypes,\n handle_out_argument,\n with_supported_dtypes,\n)\nfrom ivy.functional.frontends.paddle.func_wrapper import (\n to_ivy_arrays_and_back,\n)\n\n\n@with_unsup... | diff --git a/ivy/functional/frontends/paddle/tensor/logic.py b/ivy/functional/frontends/paddle/tensor/logic.py
index 3ee52eb056234..b2cf76c1ee83a 100644
--- a/ivy/functional/frontends/paddle/tensor/logic.py
+++ b/ivy/functional/frontends/paddle/tensor/logic.py
@@ -158,3 +158,22 @@ def logical_not(x, /, *, name=None, ou... |
locustio__locust-2600 | Modern UI: Average Response Time and 95th percentile have the same color
### Prerequisites
- [X] I am using [the latest version of Locust](https://github.com/locustio/locust/releases/)
- [X] I am reporting a bug, not asking a question
### Description
Average Response Time and 95th percentile have the same color.
<i... | [
{
"content": "from __future__ import annotations\n\nimport locust\n\nimport atexit\nimport errno\nimport gc\nimport inspect\nimport json\nimport logging\nimport os\nimport signal\nimport sys\nimport time\nimport traceback\n\nimport gevent\n\nfrom . import log, stats\nfrom .argument_parser import parse_locustfil... | [
{
"content": "from __future__ import annotations\n\nimport locust\n\nimport atexit\nimport errno\nimport gc\nimport inspect\nimport json\nimport logging\nimport os\nimport signal\nimport sys\nimport time\nimport traceback\n\nimport gevent\n\nfrom . import log, stats\nfrom .argument_parser import parse_locustfil... | diff --git a/docs/configuration.rst b/docs/configuration.rst
index 40c18f2199..5b2d90763d 100644
--- a/docs/configuration.rst
+++ b/docs/configuration.rst
@@ -248,6 +248,8 @@ The list of statistics parameters that can be modified is:
+-------------------------------------------+----------------------------------------... |
spacetelescope__jwql-1136 | Add new anomaly types for NIRCam
Discussed in the NIRCam meeting today:
Should we add claws and wisps to the list of NIRCam anomalies?
@bsunnquist is the best one to make the call on this.
We should also add a "scattered light" entry, to capture exposures with unexpected scattered light features.
| [
{
"content": "\"\"\"Globally defined and used variables for the ``jwql`` project.\n\nAuthors\n-------\n\n - Johannes Sahlmann\n - Matthew Bourque\n - Bryan Hilbert\n - Ben Sunnquist\n - Teagan King\n - Mike Engesser\n - Maria Pena-Guerrero\n - Rachel Cooper\n\nUse\n---\n This variable... | [
{
"content": "\"\"\"Globally defined and used variables for the ``jwql`` project.\n\nAuthors\n-------\n\n - Johannes Sahlmann\n - Matthew Bourque\n - Bryan Hilbert\n - Ben Sunnquist\n - Teagan King\n - Mike Engesser\n - Maria Pena-Guerrero\n - Rachel Cooper\n\nUse\n---\n This variable... | diff --git a/jwql/utils/constants.py b/jwql/utils/constants.py
index 4388a8f7c..edbb08cb7 100644
--- a/jwql/utils/constants.py
+++ b/jwql/utils/constants.py
@@ -80,7 +80,10 @@
'row_pull_down': ['miri'],
'LRS_Contamination': ['miri'],
'tree_rings': ['miri'],
- 'scattered_light': ['niriss'],
+ 'scatt... |
e-valuation__EvaP-1353 | Importing a backup made by update_production.sh does not work flawlessly.
Last week we wanted to do a production update. The json dump file created during that update could not be imported without issues:
- The dump does not contain the cronjob user, but foreign key references to it. This can not be imported
- The du... | [
{
"content": "import os\n\nfrom django.conf import settings\nfrom django.core.management.base import BaseCommand\nfrom django.core.management import call_command\n\n\nclass Command(BaseCommand):\n args = ''\n help = 'Dumps all relevant contents of the database into test_data.json.'\n requires_migration... | [
{
"content": "import os\n\nfrom django.conf import settings\nfrom django.core.management.base import BaseCommand\nfrom django.core.management import call_command\n\n\nclass Command(BaseCommand):\n args = ''\n help = 'Dumps all relevant contents of the database into test_data.json.'\n requires_migration... | diff --git a/.travis.yml b/.travis.yml
index d231f07852..827e14d77b 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -1,13 +1,14 @@
language: python
python: "3.7"
dist: xenial
-sudo: false
+sudo: required
cache:
directories:
- $HOME/.cache/pip
services:
-- postgresql
+ - postgresql
+ - redis-server
before_... |
dask__distributed-3728 | Typo in docs
Just noticed there is a typo here. It should say `maximum_memory : str`.
https://github.com/dask/distributed/blob/9622b8f9bef1855412e9b23265378e2da1f47f2f/distributed/deploy/spec.py#L554
| [
{
"content": "import asyncio\nimport atexit\nimport copy\nimport logging\nimport math\nimport weakref\n\nimport dask\nfrom tornado import gen\n\nfrom .adaptive import Adaptive\nfrom .cluster import Cluster\nfrom ..core import rpc, CommClosedError\nfrom ..utils import (\n LoopRunner,\n silence_logging,\n ... | [
{
"content": "import asyncio\nimport atexit\nimport copy\nimport logging\nimport math\nimport weakref\n\nimport dask\nfrom tornado import gen\n\nfrom .adaptive import Adaptive\nfrom .cluster import Cluster\nfrom ..core import rpc, CommClosedError\nfrom ..utils import (\n LoopRunner,\n silence_logging,\n ... | diff --git a/distributed/deploy/spec.py b/distributed/deploy/spec.py
index c6338d3b93f..eb9f0f0043e 100644
--- a/distributed/deploy/spec.py
+++ b/distributed/deploy/spec.py
@@ -551,7 +551,7 @@ def adapt(
minimum_memory : str
Minimum amount of memory to keep around in the cluster
Expre... |
qtile__qtile-2158 | Missing requirement in documentation for Volume widget
# Issue description
The Volume widget by default needs access to amixer, which is part of the package alsa-utils, unless the `get_volume_command` is manually set to something else by the user.
This is not mentioned in the documentation [http://docs.qtile.org/en... | [
{
"content": "# Copyright (c) 2010, 2012, 2014 roger\n# Copyright (c) 2011 Kirk Strauser\n# Copyright (c) 2011 Florian Mounier\n# Copyright (c) 2011 Mounier Florian\n# Copyright (c) 2011 Roger Duran\n# Copyright (c) 2012-2015 Tycho Andersen\n# Copyright (c) 2013 Tao Sauvage\n# Copyright (c) 2013 Craig Barnes\n#... | [
{
"content": "# Copyright (c) 2010, 2012, 2014 roger\n# Copyright (c) 2011 Kirk Strauser\n# Copyright (c) 2011 Florian Mounier\n# Copyright (c) 2011 Mounier Florian\n# Copyright (c) 2011 Roger Duran\n# Copyright (c) 2012-2015 Tycho Andersen\n# Copyright (c) 2013 Tao Sauvage\n# Copyright (c) 2013 Craig Barnes\n#... | diff --git a/libqtile/widget/volume.py b/libqtile/widget/volume.py
index d709974567..dd322f7c4b 100644
--- a/libqtile/widget/volume.py
+++ b/libqtile/widget/volume.py
@@ -46,6 +46,10 @@
class Volume(base._TextBox):
"""Widget that display and change volume
+ By default, this widget uses ``amixer`` to get and ... |
obspy__obspy-2643 | Travis not building
I think it is a problem connected with changes introduced by me in #2619. In my project CI was building with that setup up to Friday, but crashed today. I fixed it with adding to pyproject.toml required by PEP517. I will do a PR to add this line here.
Quoting @megies:
Not sure whats wr... | [
{
"content": "#! /usr/bin/env python\n# -*- coding: utf-8 -*-\n\"\"\"\nObsPy - a Python framework for seismological observatories.\n\nObsPy is an open-source project dedicated to provide a Python framework for\nprocessing seismological data. It provides parsers for common file formats,\nclients to access data c... | [
{
"content": "#! /usr/bin/env python\n# -*- coding: utf-8 -*-\n\"\"\"\nObsPy - a Python framework for seismological observatories.\n\nObsPy is an open-source project dedicated to provide a Python framework for\nprocessing seismological data. It provides parsers for common file formats,\nclients to access data c... | diff --git a/setup.py b/setup.py
index e0ebf9e849a..f640cc570fd 100644
--- a/setup.py
+++ b/setup.py
@@ -43,8 +43,9 @@
import sys
import platform
from distutils.util import change_root
+from distutils.errors import DistutilsSetupError
-from numpy.distutils.core import DistutilsSetupError, setup
+from numpy.distuti... |
vispy__vispy-1389 | Camera API documentation missing
I could not find a list of available cameras in the docs:
http://vispy.org/scene.html?highlight=cameras#module-vispy.scene.cameras
| [
{
"content": "# -*- coding: utf-8 -*-\n# Copyright (c) Vispy Development Team. All Rights Reserved.\n# Distributed under the (new) BSD License. See LICENSE.txt for more info.\n\"\"\"\nCameras are responsible for determining which part of a scene is displayed\nin a viewbox and for handling user input to change t... | [
{
"content": "# -*- coding: utf-8 -*-\n# Copyright (c) 2015, Vispy Development Team.\n# Distributed under the (new) BSD License. See LICENSE.txt for more info.\n\"\"\"\nCameras are responsible for determining which part of a scene is displayed\nin a viewbox and for handling user input to change the view.\n\nSev... | diff --git a/vispy/scene/cameras/__init__.py b/vispy/scene/cameras/__init__.py
index d0186e6e22..ec614257e5 100644
--- a/vispy/scene/cameras/__init__.py
+++ b/vispy/scene/cameras/__init__.py
@@ -15,6 +15,9 @@
that a certain part of the scene is mapped to the bounding rectangle of the
ViewBox.
"""
+__all__ = ['Arcba... |
dmlc__dgl-3075 | Double edges in some TUDatasets
## 🐛 Bug
The adjacency matrix of some TUDatasets such as IMDB-BINARY is made up of 0s and 2s rather than 0s and 1s. I believe this to be because the original files have multiple entries of the edges.
## To Reproduce
Steps to reproduce the behavior:
I wrote the following scr... | [
{
"content": "from __future__ import absolute_import\nimport numpy as np\nimport os\n\nfrom .dgl_dataset import DGLBuiltinDataset\nfrom .utils import loadtxt, save_graphs, load_graphs, save_info, load_info\nfrom .. import backend as F\nfrom ..convert import graph as dgl_graph\n\nclass LegacyTUDataset(DGLBuiltin... | [
{
"content": "from __future__ import absolute_import\nimport numpy as np\nimport os\n\nfrom .dgl_dataset import DGLBuiltinDataset\nfrom .utils import loadtxt, save_graphs, load_graphs, save_info, load_info\nfrom .. import backend as F\nfrom ..convert import graph as dgl_graph\n\nclass LegacyTUDataset(DGLBuiltin... | diff --git a/python/dgl/data/tu.py b/python/dgl/data/tu.py
index fcfb472a3229..4c05b27cf139 100644
--- a/python/dgl/data/tu.py
+++ b/python/dgl/data/tu.py
@@ -252,6 +252,13 @@ class TUDataset(DGLBuiltinDataset):
num_labels : int
Number of classes
+ Notes
+ -----
+ **IMPORTANT:** Some of the dat... |
oppia__oppia-5437 | Set default value of the dropdown to direct the learner in 'Add Response' modal
## Repro Steps:
* Open Creator Dashboard and click 'create' button to create new exploration.
* Choose any of the interaction.
* See the 'Add Response' modal that appears after selecting the interaction.
## Observed behaviour:
* See ... | [
{
"content": "# coding: utf-8\n#\n# Copyright 2014 The Oppia Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licen... | [
{
"content": "# coding: utf-8\n#\n# Copyright 2014 The Oppia Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licen... | diff --git a/core/domain/stats_services.py b/core/domain/stats_services.py
index 0a6dcf439f2d5..3b17bbad4e7fd 100644
--- a/core/domain/stats_services.py
+++ b/core/domain/stats_services.py
@@ -104,7 +104,6 @@ def get_exploration_stats(exp_id, exp_version):
ExplorationStats. The exploration stats domain object.... |
azavea__raster-vision-1235 | Predictor does not reset the scene's aoi_geometries and the raster source's extent_crop
Currently, the `Predictor` re-uses a `SceneConfig` from the pipeline config in the bundle (instead of creating a new one) and resets its `label_source` and `aoi_uris`.
https://github.com/azavea/raster-vision/blob/master/rastervisio... | [
{
"content": "from os.path import join\nimport zipfile\nimport logging\n\nfrom rastervision.pipeline import rv_config\nfrom rastervision.pipeline.config import (build_config, upgrade_config)\nfrom rastervision.pipeline.file_system.utils import (download_if_needed,\n ... | [
{
"content": "from os.path import join\nimport zipfile\nimport logging\n\nfrom rastervision.pipeline import rv_config\nfrom rastervision.pipeline.config import (build_config, upgrade_config)\nfrom rastervision.pipeline.file_system.utils import (download_if_needed,\n ... | diff --git a/rastervision_core/rastervision/core/predictor.py b/rastervision_core/rastervision/core/predictor.py
index 96cc6a3b6..846e875f1 100644
--- a/rastervision_core/rastervision/core/predictor.py
+++ b/rastervision_core/rastervision/core/predictor.py
@@ -69,6 +69,9 @@ def __init__(self,
self.scene.labe... |
ansible__ansible-38225 | Invalid yml causes include_vars to hang or freeze without output
<!---
Verify first that your issue/request is not already reported on GitHub.
Also test if the latest release, and devel branch are affected too.
Always add information AFTER of these html comments.
-->
I made some attempt to sift through the 3,511... | [
{
"content": "# (c) 2016, Allen Sanabria <asanabria@linuxdynasty.org>\n#\n# This file is part of Ansible\n#\n# Ansible is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License,... | [
{
"content": "# (c) 2016, Allen Sanabria <asanabria@linuxdynasty.org>\n#\n# This file is part of Ansible\n#\n# Ansible is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License,... | diff --git a/changelogs/fragments/include_vars_error_hang_fix.yaml b/changelogs/fragments/include_vars_error_hang_fix.yaml
new file mode 100644
index 00000000000000..ec129495f60672
--- /dev/null
+++ b/changelogs/fragments/include_vars_error_hang_fix.yaml
@@ -0,0 +1,2 @@
+bugfixes:
+- include_vars - Call DataLoader.load... |
meltano__meltano-7964 | bug: Replace usage of deprecated `locale.getdefaultlocale`
### Meltano Version
2.20.0
### Python Version
3.11
### Bug scope
Other
### Operating System
NA
### Description
The function `locale.getdefaultlocale` is deprecated since version 3.11, will be removed in version 3.13. It is recommended to use `locale.ge... | [
{
"content": "\"\"\"Meltano telemetry.\"\"\"\n\nfrom __future__ import annotations\n\nimport atexit\nimport json\nimport locale\nimport os\nimport re\nimport sys\nimport typing as t\nimport uuid\nfrom collections.abc import Mapping\nfrom contextlib import contextmanager, suppress\nfrom datetime import datetime\... | [
{
"content": "\"\"\"Meltano telemetry.\"\"\"\n\nfrom __future__ import annotations\n\nimport atexit\nimport json\nimport locale\nimport os\nimport re\nimport sys\nimport typing as t\nimport uuid\nfrom collections.abc import Mapping\nfrom contextlib import contextmanager, suppress\nfrom datetime import datetime\... | diff --git a/src/meltano/core/tracking/tracker.py b/src/meltano/core/tracking/tracker.py
index 8651473caf..b96c3592bc 100644
--- a/src/meltano/core/tracking/tracker.py
+++ b/src/meltano/core/tracking/tracker.py
@@ -138,7 +138,7 @@ def __init__( # noqa: WPS210 - too many local variables
app_id="meltano... |
freqtrade__freqtrade-3596 | configure fee to 0 using --fee argument take default exchange fees instead of 0
Hi,
During early stage of developing a strategy i put fees to 0 to see winrate when i close the trade after 1 bar, 2 bars, ... .
No matter i 'force' the fees to 0 it seems the fallback to default exchange fees if the value choose is und... | [
{
"content": "# pragma pylint: disable=missing-docstring, W0212, too-many-arguments\n\n\"\"\"\nThis module contains the backtesting logic\n\"\"\"\nimport logging\nfrom copy import deepcopy\nfrom datetime import datetime, timedelta\nfrom typing import Any, Dict, List, NamedTuple, Optional, Tuple\n\nimport arrow\... | [
{
"content": "# pragma pylint: disable=missing-docstring, W0212, too-many-arguments\n\n\"\"\"\nThis module contains the backtesting logic\n\"\"\"\nimport logging\nfrom copy import deepcopy\nfrom datetime import datetime, timedelta\nfrom typing import Any, Dict, List, NamedTuple, Optional, Tuple\n\nimport arrow\... | diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py
index e5014dd5a3c..214c92e0ed6 100644
--- a/freqtrade/optimize/backtesting.py
+++ b/freqtrade/optimize/backtesting.py
@@ -101,7 +101,7 @@ def __init__(self, config: Dict[str, Any]) -> None:
if len(self.pairlists.whitelist) == 0:... |
scipy__scipy-5920 | "master" fails to build with MKL
Recently, when I try to build the "master" branch, I keep getting this error from `linalg/solve/dsolve/setup.py`:
``` .Python
ValueError: list.remove(x): x not in list
```
The error traces to this block of code <a href="https://github.com/scipy/scipy/blob/master/scipy/sparse/linalg/ds... | [
{
"content": "#!/usr/bin/env python\nfrom __future__ import division, print_function, absolute_import\n\nfrom os.path import join, dirname\nimport sys\nimport os\nimport glob\n\n\ndef configuration(parent_package='',top_path=None):\n from numpy.distutils.misc_util import Configuration\n from numpy.distuti... | [
{
"content": "#!/usr/bin/env python\nfrom __future__ import division, print_function, absolute_import\n\nfrom os.path import join, dirname\nimport sys\nimport os\nimport glob\n\n\ndef configuration(parent_package='',top_path=None):\n from numpy.distutils.misc_util import Configuration\n from numpy.distuti... | diff --git a/scipy/sparse/linalg/dsolve/setup.py b/scipy/sparse/linalg/dsolve/setup.py
index fef166100d42..21b617ff705c 100755
--- a/scipy/sparse/linalg/dsolve/setup.py
+++ b/scipy/sparse/linalg/dsolve/setup.py
@@ -27,9 +27,6 @@ def configuration(parent_package='',top_path=None):
sources = list(glob.glob(join(su... |
lutris__lutris-4217 | [issue] AttributeError 'NoneType' when calling dll_manager.version.lower()
### Bug description
Trying to install Star Citizen, when Lutris try to install DLLs it throw an error. `NoneType' object has no attribute 'lower'`.
I realize is similar to the #3787 and I was using 0.5.9.1, and I upgraded to 0.5.10, but it is ... | [
{
"content": "\"\"\"Wine runner\"\"\"\n# pylint: disable=too-many-lines\nimport os\nimport shlex\nfrom gettext import gettext as _\n\nfrom lutris import runtime, settings\nfrom lutris.gui.dialogs import FileDialog\nfrom lutris.runners.commands.wine import ( # noqa: F401 pylint: disable=unused-import\n creat... | [
{
"content": "\"\"\"Wine runner\"\"\"\n# pylint: disable=too-many-lines\nimport os\nimport shlex\nfrom gettext import gettext as _\n\nfrom lutris import runtime, settings\nfrom lutris.gui.dialogs import FileDialog\nfrom lutris.runners.commands.wine import ( # noqa: F401 pylint: disable=unused-import\n creat... | diff --git a/lutris/runners/wine.py b/lutris/runners/wine.py
index 0f548ddaef..6e8ad7eddd 100644
--- a/lutris/runners/wine.py
+++ b/lutris/runners/wine.py
@@ -772,8 +772,10 @@ def setup_dlls(self, manager_class, enable, version):
arch=self.wine_arch,
version=version,
)
+
# ma... |
celery__celery-5462 | Minor bug in celery utils time.py file
There is a function named remaining in the celery.utils.time.py file. In that function, I think the statement start = start.replace(tzinfo=now.tzinfo) (line 211) has to be replaced with start = start.astimezone(now.tzinfo).
I hope the expected working by using the statement (`s... | [
{
"content": "# -*- coding: utf-8 -*-\n\"\"\"Utilities related to dates, times, intervals, and timezones.\"\"\"\nfrom __future__ import absolute_import, print_function, unicode_literals\n\nimport numbers\nimport os\nimport random\nimport time as _time\nfrom calendar import monthrange\nfrom datetime import date,... | [
{
"content": "# -*- coding: utf-8 -*-\n\"\"\"Utilities related to dates, times, intervals, and timezones.\"\"\"\nfrom __future__ import absolute_import, print_function, unicode_literals\n\nimport numbers\nimport os\nimport random\nimport time as _time\nfrom calendar import monthrange\nfrom datetime import date,... | diff --git a/celery/utils/time.py b/celery/utils/time.py
index 4783c767942..c93cbe1ebbf 100644
--- a/celery/utils/time.py
+++ b/celery/utils/time.py
@@ -207,8 +207,8 @@ def remaining(start, ends_in, now=None, relative=False):
~datetime.timedelta: Remaining time.
"""
now = now or datetime.utcnow()
- ... |
DataBiosphere__toil-2583 | Env value of TOIL_DOCKER_REGISTRY is not honored in the docker image
When a docker image is build with a custom `TOIL_DOCKER_REGISTRY`, the built docker image still looks at `quay.io/ucsc_cgl` for pulling related images (e.g. `mtail`, `grafana`, etc). The fix is to put the actual registry in `version_template.py`.
| [
{
"content": "# Copyright (C) 2015-2018 Regents of the University of California\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-... | [
{
"content": "# Copyright (C) 2015-2018 Regents of the University of California\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-... | diff --git a/version_template.py b/version_template.py
index 1374ae0da5..60036922d5 100644
--- a/version_template.py
+++ b/version_template.py
@@ -28,7 +28,6 @@
baseVersion = '3.20.0a1'
cgcloudVersion = '1.6.0a1.dev393'
-dockerRegistry = 'quay.io/ucsc_cgl'
dockerName = 'toil'
@@ -115,6 +114,11 @@ def currentCo... |
liberapay__liberapay.com-917 | Incomplete translation warning
It's not good that we display partially translated pages to users, but what's worse is that we don't display a warning about the translation being incomplete.
| [
{
"content": "# encoding: utf8\nfrom __future__ import print_function, unicode_literals\n\nfrom collections import namedtuple, OrderedDict\nfrom datetime import date, datetime, timedelta\nfrom decimal import Decimal, InvalidOperation\nfrom hashlib import md5\nfrom io import BytesIO\nimport re\nfrom unicodedata ... | [
{
"content": "# encoding: utf8\nfrom __future__ import print_function, unicode_literals\n\nfrom collections import namedtuple, OrderedDict\nfrom datetime import date, datetime, timedelta\nfrom decimal import Decimal, InvalidOperation\nfrom hashlib import md5\nfrom io import BytesIO\nimport re\nfrom unicodedata ... | diff --git a/Makefile b/Makefile
index 46d5cebbe3..547fd1b5da 100644
--- a/Makefile
+++ b/Makefile
@@ -82,7 +82,7 @@ pytest-i18n-browse: env
PYTHONPATH=. LIBERAPAY_I18N_TEST=yes $(py_test) -k TestTranslations ./tests/py/
_i18n_extract: env
- @PYTHONPATH=. $(env_bin)/pybabel extract -F .babel_extract --no-wrap -o i... |
kornia__kornia-1421 | PyPI tarball missing required files
### Describe the bug
The tarball uploaded to PyPI does not contain `requirements/*` files which are required to run the `setup.py` file.
### Reproduction steps
```bash
$ wget https://files.pythonhosted.org/packages/source/k/kornia/kornia-0.6.0.tar.gz
$ tar zxf kornia-0.6.0... | [
{
"content": "# Welcome to the Kornia setup.py.\n#\nimport re\nimport sys\n\n# Make sure that kornia is running on Python 3.6.0 or later\n# (to avoid running into this bug: https://bugs.python.org/issue29246)\n\nif sys.version_info < (3, 6, 0):\n raise RuntimeError(\"Kornia requires Python 3.6.0 or later.\")... | [
{
"content": "# Welcome to the Kornia setup.py.\n#\nimport re\nimport sys\n\n# Make sure that kornia is running on Python 3.6.0 or later\n# (to avoid running into this bug: https://bugs.python.org/issue29246)\n\nif sys.version_info < (3, 6, 0):\n raise RuntimeError(\"Kornia requires Python 3.6.0 or later.\")... | diff --git a/setup.py b/setup.py
index 746fa45add..074f51b7cf 100644
--- a/setup.py
+++ b/setup.py
@@ -63,6 +63,7 @@ def load_requirements(filename: str):
tests_require=['pytest'],
packages=find_packages(exclude=('docs', 'test', 'examples')),
package_data={"kornia": ["py.typed"]},
+ da... |
kivy__kivy-7372 | Allow `get_focus_previous` with `numlock` enabled
**Is your feature request related to a problem? Please describe.**
When `numlock` is enabled, `shift+tab` doesn't call `get_focus_previous` for widgets inheriting `FocusBehavior`
**Describe the solution you'd like**
Change this:
https://github.com/kivy/kivy/blob/e... | [
{
"content": "'''\nFocus Behavior\n==============\n\nThe :class:`~kivy.uix.behaviors.FocusBehavior`\n`mixin <https://en.wikipedia.org/wiki/Mixin>`_ class provides\nkeyboard focus behavior. When combined with other\nFocusBehavior widgets it allows one to cycle focus among them by pressing\ntab. In addition, upon... | [
{
"content": "'''\nFocus Behavior\n==============\n\nThe :class:`~kivy.uix.behaviors.FocusBehavior`\n`mixin <https://en.wikipedia.org/wiki/Mixin>`_ class provides\nkeyboard focus behavior. When combined with other\nFocusBehavior widgets it allows one to cycle focus among them by pressing\ntab. In addition, upon... | diff --git a/kivy/uix/behaviors/focus.py b/kivy/uix/behaviors/focus.py
index 29cc27adb9..705450a8e1 100644
--- a/kivy/uix/behaviors/focus.py
+++ b/kivy/uix/behaviors/focus.py
@@ -531,7 +531,9 @@ def keyboard_on_key_down(self, window, keycode, text, modifiers):
key was consumed.
'''
if keycode... |
piskvorky__gensim-1053 | Doc2Vec.DocvecsArray.doctag_syn0norm not ignored in save()
Unlike with Word2Vec.syn0norm, oversized `doctag_syn0norm` arrays aren't ignored during native `save()`. As a result, even if they're a shared-reference to `doctag_syn0` after an `init_sims(replace=True)`, both `doctag_syn0` and `doctag_syn0norm` will be writte... | [
{
"content": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n#\n# Copyright (C) 2013 Radim Rehurek <me@radimrehurek.com>\n# Licensed under the GNU LGPL v2.1 - http://www.gnu.org/licenses/lgpl.html\n\n\n\"\"\"\nDeep learning via the distributed memory and distributed bag of words models from\n[1]_, using either... | [
{
"content": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n#\n# Copyright (C) 2013 Radim Rehurek <me@radimrehurek.com>\n# Licensed under the GNU LGPL v2.1 - http://www.gnu.org/licenses/lgpl.html\n\n\n\"\"\"\nDeep learning via the distributed memory and distributed bag of words models from\n[1]_, using either... | diff --git a/gensim/models/doc2vec.py b/gensim/models/doc2vec.py
index fcb89d280c..00712f0685 100644
--- a/gensim/models/doc2vec.py
+++ b/gensim/models/doc2vec.py
@@ -353,6 +353,11 @@ def __contains__(self, index):
else:
return index in self.doctags
+ def save(self, *args, **kwargs):
+ ... |
pypa__pip-5789 | AttributeError on tab completion of `pip install -U ...`
**Environment**
* pip version: 18.0
* Python version: 3.7.0
* OS: macOS High Sierra
Using iTerm2 3.1.7 or Terminal.app.
<!-- Feel free to add more information about your environment here -->
**Description**
<!-- A clear and concise description of w... | [
{
"content": "\"\"\"Logic that powers autocompletion installed by ``pip completion``.\n\"\"\"\n\nimport optparse\nimport os\nimport sys\n\nfrom pip._internal.cli.main_parser import create_main_parser\nfrom pip._internal.commands import commands_dict, get_summaries\nfrom pip._internal.utils.misc import get_insta... | [
{
"content": "\"\"\"Logic that powers autocompletion installed by ``pip completion``.\n\"\"\"\n\nimport optparse\nimport os\nimport sys\n\nfrom pip._internal.cli.main_parser import create_main_parser\nfrom pip._internal.commands import commands_dict, get_summaries\nfrom pip._internal.utils.misc import get_insta... | diff --git a/news/5751.bugfix b/news/5751.bugfix
new file mode 100644
index 00000000000..36926c9a67a
--- /dev/null
+++ b/news/5751.bugfix
@@ -0,0 +1 @@
+Avoid traceback printing on autocomplete after flags in the CLI.
diff --git a/src/pip/_internal/cli/autocompletion.py b/src/pip/_internal/cli/autocompletion.py
index d... |
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