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lantonel |
1.1 |
#!/usr/bin/env python
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import os
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import sys
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import datetime
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from optparse import OptionParser
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lantonel |
1.2 |
from OSUT3Analysis.Configuration.configurationOptions import *
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lantonel |
1.1 |
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def split_composite_datasets(datasets):
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for dataset in datasets:
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if dataset in composite_dataset_definitions:
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for component_dataset in composite_dataset_definitions[dataset]:
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datasets.insert(datasets.index(dataset),component_dataset)
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datasets.remove(dataset)
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return datasets
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def get_composite_datasets(datasets):
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composite_datasets = []
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for dataset in datasets:
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if dataset in composite_dataset_definitions:
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composite_datasets.append(dataset)
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return composite_datasets
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def set_condor_submit_dir(options):
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if options.condorDir:
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condor_dir = "condor/%s" % options.condorDir
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else:
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now = datetime.datetime.now()
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date_hash = now.strftime("%Y_%m_%d_%H:%M:%S")
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condor_dir = "condor/condor_%s" % date_hash
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lantonel |
1.3 |
#print "Condor submit directory set to ",condor_dir
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lantonel |
1.1 |
return condor_dir
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def set_condor_output_dir(options):
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if options.condorDir:
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condor_dir = "condor/%s" % options.condorDir
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else: #get most recent condor submission directory
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dir_list = []
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for directory in os.listdir("./condor/"):
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if directory.find("condor_") is not -1:
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dir_list.append(directory)
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if len(dir_list) is 0:
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sys.exit("Cannot find last condor working directory")
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dir_list.sort(reverse=True)
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condor_dir = "condor/%s" % dir_list[0]
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lantonel |
1.3 |
#print "Condor output directory set to ",condor_dir
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lantonel |
1.1 |
return condor_dir
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def set_commandline_arguments(parser):
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parser.add_option("-l", "--localConfig", dest="localConfig",
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help="local configuration file")
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parser.add_option("-c", "--condorDir", dest="condorDir",
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help="condor output directory")
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lantonel |
1.4 |
parser.add_option("-n", "--normalize", action="store_true", dest="normalizeToData", default=False,
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lantonel |
1.3 |
help="normalize total background MC yield to the data")
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lantonel |
1.4 |
parser.add_option("-u", "--unit-area", action="store_true", dest="normalizeToUnitArea", default=False,
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help="normalize all samples to unit area (useful to compare shapes)")
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lantonel |
1.1 |
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return parser
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def get_short_name(dataset):
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for key in dataset_names:
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if dataset_names[key] == dataset:
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return key;
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return "Unknown"
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