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()