job_control = job_control_mc
for sample_name, dataset_id, dataset_path in datasets_mc:
# Here we do MC-only lines.
write_new_py('options.dataset_id = %i' % dataset_id,
'options.is_mc = True')
submit(locals())
if options.submit_data:
job_control = job_control_data
if options.submit_mask:
job_control = job_control.replace('tmp.json', options.submit_mask)
else:
# Build a loose run list that is the superset of any run list we
# might want to apply later: require STRIP & (DT | CSC), for any
# run type.
import runs
data_runs = runs.get_run_list(run_types='any', muon_subdet='either', require_pixels=False)
json = ['"%i": [[1,26296]]' % r for r in data_runs]
open('tmp.json', 'wt').write('{' + ', '.join(json) + '}')
#for sample_name, dataset_path, run_min, run_max in datasets_data:
for sample_name, dataset_path in datasets_data:
if options.submit_mask:
sample_name += options.submit_mask.replace('.json','')
# No data-only lines for now, as the defaults are all set for data.
write_new_py()
submit(locals())
os.system('rm -f crab.cfg tmp.json %s %s' % (new_py_fn, new_py_fn.replace('.py', '.pyc')))
write_new_py('options.dataset_id = %i' % dataset_id,
'options.is_mc = True')
submit(locals())
if options.submit_data:
job_control = job_control_data
if options.submit_mask:
job_control = job_control.replace('tmp.json', options.submit_mask)
else:
# Build a loose run list that is the superset of any run list we
# might want to apply later: require STRIP & (DT | CSC), for any
# run type.
import runs
data_runs = runs.get_run_list(run_types='any',
muon_subdet='either',
require_pixels=False)
json = ['"%i": [[1,26296]]' % r for r in data_runs]
open('tmp.json', 'wt').write('{' + ', '.join(json) + '}')
#for sample_name, dataset_path, run_min, run_max in datasets_data:
for sample_name, dataset_path in datasets_data:
if options.submit_mask:
sample_name += options.submit_mask.replace('.json', '')
# No data-only lines for now, as the defaults are all set for data.
write_new_py()
submit(locals())
os.system('rm -f crab.cfg tmp.json %s %s' %
(new_py_fn, new_py_fn.replace('.py', '.pyc')))
if not options.run_types:
options.run_types = ['cosmics']
options.require_pixels = options.min_pixel_layers > 0
if options.require_tt25 and options.require_not_tt25:
raise argparse.ArgumentError('cannot require_tt25 and require_not_tt25')
if options.require_tt25 and not options.require_rpc_good:
print 'warning: require_tt25 and not require_rpc_good!'
################################################################################
run_list = []
if options.use_run_list and not options.is_mc:
run_list = [r for r in get_run_list(options.run_types, options.muon_subdet, options.require_pixels, options.require_rpc_good) if options.min_run <= r <= options.max_run]
cfg = cms.PSet(
directory = cms.string(options.input_directory),
is_mc = cms.bool(options.is_mc),
only_sample = cms.int32(options.only_sample),
check_for_wrong_sample = cms.bool(options.check_for_wrong_sample),
filename = cms.string(options.input_fn),
min_muon_hits = cms.int32(options.min_muon_hits),
min_pixel_layers = cms.int32(options.min_pixel_layers),
min_strip_layers = cms.int32(options.min_strip_layers),
max_tpfms_station = cms.int32(-1),
max_dxy = cms.double(options.max_dxy),
max_dz = cms.double(options.max_dz),
no_dt_allowed = cms.bool(options.muon_subdet == 'csconly'),
no_csc_allowed = cms.bool(options.muon_subdet == 'dtonly'),
options.run_types = ["cosmics"]
options.require_pixels = options.min_pixel_layers > 0
if options.require_tt25 and options.require_not_tt25:
raise argparse.ArgumentError("cannot require_tt25 and require_not_tt25")
if options.require_tt25 and not options.require_rpc_good:
print "warning: require_tt25 and not require_rpc_good!"
################################################################################
run_list = []
if options.use_run_list and not options.is_mc:
run_list = [
r
for r in get_run_list(options.run_types, options.muon_subdet, options.require_pixels, options.require_rpc_good)
if options.min_run <= r <= options.max_run
]
cfg = cms.PSet(
directory=cms.string(options.input_directory),
is_mc=cms.bool(options.is_mc),
only_sample=cms.int32(options.only_sample),
check_for_wrong_sample=cms.bool(options.check_for_wrong_sample),
filename=cms.string(options.input_fn),
min_muon_hits=cms.int32(options.min_muon_hits),
min_pixel_layers=cms.int32(options.min_pixel_layers),
min_strip_layers=cms.int32(options.min_strip_layers),
max_tpfms_station=cms.int32(-1),
no_dt_allowed=cms.bool(options.muon_subdet == "csconly"),
no_csc_allowed=cms.bool(options.muon_subdet == "dtonly"),
options.run_types = ['cosmics']
options.require_pixels = options.min_pixel_layers > 0
if options.require_tt25 and options.require_not_tt25:
raise argparse.ArgumentError('cannot require_tt25 and require_not_tt25')
if options.require_tt25 and not options.require_rpc_good:
print 'warning: require_tt25 and not require_rpc_good!'
################################################################################
run_list = []
if options.use_run_list and not options.is_mc:
run_list = [
r
for r in get_run_list(options.run_types, options.muon_subdet,
options.require_pixels, options.require_rpc_good)
if options.min_run <= r <= options.max_run
]
cfg = cms.PSet(
directory=cms.string(options.input_directory),
is_mc=cms.bool(options.is_mc),
only_sample=cms.int32(options.only_sample),
check_for_wrong_sample=cms.bool(options.check_for_wrong_sample),
filename=cms.string(options.input_fn),
min_muon_hits=cms.int32(options.min_muon_hits),
min_pixel_layers=cms.int32(options.min_pixel_layers),
min_strip_layers=cms.int32(options.min_strip_layers),
max_tpfms_station=cms.int32(-1),
no_dt_allowed=cms.bool(options.muon_subdet == 'csconly'),
no_csc_allowed=cms.bool(options.muon_subdet == 'dtonly'),
