default=None, action='store', help="""Input dataset to loop upon files to retrieve configuration. There will be one job for each file on this container.""") parser = ArgumentParser( description= 'Retrieve performance information from the Cross-Validation method on the GRID.', parents=[crossValStatsJobParser, parentParser, ioGridParser, loggerParser], conflict_handler='resolve') parser.make_adjustments() emptyArgumentsPrintHelp(parser) # Retrieve parser args: args = parser.parse_args(namespace=TuningToolGridNamespace('prun')) args.setBExec( 'source ./buildthis.sh --grid --with-scipy --no-color || source ./buildthis.sh --grid --with-scipy --no-color' ) mainLogger = Logger.getModuleLogger(__name__, args.output_level) printArgs(args, mainLogger.debug) # Set primary dataset number of files: try: # The input files can be send via a text file to avoid very large command lines? mainLogger.info(("Retrieving files on the data container to separate " "the jobs accordingly to each tunned bin reagion.")) from rucio.client import DIDClient from rucio.common.exception import DataIdentifierNotFound didClient = DIDClient() parsedDataDS = args.grid__inDS.split(':')
help=""" The eta bins to use within grid job. Check et-bins help for more information. """) ## We finally create the main parser parser = ArgumentParser( description='Tune discriminators using input data on the GRID', parents=[ tuningJobParser, parentParser, clusterParser, loggerParser, DevParser() ], conflict_handler='resolve') parser.make_adjustments() emptyArgumentsPrintHelp(parser) # Retrieve parser args: args = parser.parse_args(namespace=namespaceObj) mainLogger = Logger.getModuleLogger(__name__, args.output_level) mainLogger.write = mainLogger.info printArgs(args, mainLogger.debug) if clusterManagerConf() is ClusterManager.Panda: if args.expert_paths: mainLogger.warning( "--expert-paths option is deprecated, use --expert-networks instead." ) args.expert_networks = args.expert_paths def getBinIdxLimits(fileDescr): from rucio.client import DIDClient didClient = DIDClient()
from RingerCore import csvStr2List, str_to_class, NotSet, BooleanStr, emptyArgumentsPrintHelp from TuningTools.parsers import ArgumentParser, loggerParser, crossValStatsMonParser, LoggerNamespace from TuningTools import GridJobFilter parser = ArgumentParser( description= 'Retrieve performance information from the Cross-Validation method.', parents=[crossValStatsMonParser, loggerParser]) parser.make_adjustments() emptyArgumentsPrintHelp(parser) # Retrieve parser args: args = parser.parse_args(namespace=LoggerNamespace()) from RingerCore import Logger, LoggingLevel, printArgs logger = Logger.getModuleLogger(__name__, args.output_level) printArgs(args, logger.debug) #Find files from RingerCore import expandFolders, ensureExtension, keyboard logger.info('Expand folders and filter') paths = expandFolders(args.file) print paths paths = filterPaths(paths, args.grid) from pprint import pprint logger.info('Grid mode is: %s', args.grid)
, expandPath, mkdir_p ) from TuningTools.parsers import ( ArgumentParser, loggerParser, crossValStatsJobParser ) from TuningTools import ( CrossValidStatAnalysis, GridJobFilter, BenchmarkEfficiencyArchieve , ReferenceBenchmark, ReferenceBenchmarkCollection ) parser = ArgumentParser( description = 'Retrieve performance information from the Cross-Validation method.' , parents = [crossValStatsJobParser, loggerParser] ) parser.make_adjustments() emptyArgumentsPrintHelp( parser ) ## Retrieve parser args: args = parser.parse_args( ) mainLogger = Logger.getModuleLogger(__name__) mainLogger.level = args.output_level # Overwrite tempfile in the beginning of the job: if args.tmpFolder: args.tmpFolder = expandPath( args.tmpFolder ) mkdir_p( args.tmpFolder ) import tempfile tempfile.tempdir = args.tmpFolder if mainLogger.isEnabledFor( LoggingLevel.DEBUG ): import cProfile, pstats, StringIO pr = cProfile.Profile() pr.enable()