job.options().setString (ROOT.EL.Job.optXaodAccessMode, ROOT.EL.Job.optXaodAccessMode_athena)
else:
xAH_logger.info("\tusing class access mode: ROOT.EL.Job.optXaodAccessMode_class")
job.options().setString( ROOT.EL.Job.optXaodAccessMode, ROOT.EL.Job.optXaodAccessMode_class )
# formatted string
algorithmConfiguration_string = []
from xAODAnaHelpers import Config
configurator = None
if ".json" in args.config:
# parse_json is json.load + stripping comments
from xAODAnaHelpers.utils import parse_json
xAH_logger.debug("Loading json files")
algConfigs = parse_json(args.config)
xAH_logger.debug("loaded the json configurations")
# add our algorithm to the job
configurator = Config()
map(lambda x: configurator.setalg(x['class'], x['configs']), algConfigs)
else:
# Executing the python
# (configGlobals and configLocals are used to pass vars
configGlobals, configLocals = {}, {'args': args}
execfile(args.config, configGlobals, configLocals)
# Find the created xAODAnaHelpers.config.Config object and add its _algorithms to the Job
for k,v in configLocals.iteritems():
if isinstance(v, Config):
configurator = v
break
job.options().setString (ROOT.EL.Job.optXaodAccessMode, ROOT.EL.Job.optXaodAccessMode_athena)
else:
xAH_logger.info("\tusing class access mode: ROOT.EL.Job.optXaodAccessMode_class")
job.options().setString( ROOT.EL.Job.optXaodAccessMode, ROOT.EL.Job.optXaodAccessMode_class )
# formatted string
algorithmConfiguration_string = []
from xAODAnaHelpers import Config
configurator = None
if ".json" in args.config:
# parse_json is json.load + stripping comments
from xAODAnaHelpers.utils import parse_json
xAH_logger.debug("Loading json files")
algConfigs = parse_json(args.config)
xAH_logger.debug("loaded the json configurations")
# add our algorithm to the job
configurator = Config()
map(lambda x: configurator.setalg(x['class'], x['configs']), algConfigs)
else:
# Executing the python
# (configGlobals and configLocals are used to pass vars
configGlobals, configLocals = {}, {'args': args}
execfile(args.config, configGlobals, configLocals)
# Find the created xAODAnaHelpers.config.Config object and add its _algorithms to the Job
for k,v in configLocals.iteritems():
if isinstance(v, Config):
configurator = v
break
xAH_logger.info(
"\tusing class access mode: ROOT.EL.Job.optXaodAccessMode_class"
)
job.options().setString(ROOT.EL.Job.optXaodAccessMode,
ROOT.EL.Job.optXaodAccessMode_class)
# formatted string
algorithmConfiguration_string = []
from xAODAnaHelpers import Config
configurator = None
if ".json" in args.config:
# parse_json is json.load + stripping comments
xAH_logger.debug("Loading json files")
algConfigs = xAH_utils.parse_json(args.config)
xAH_logger.debug("loaded the json configurations")
# add our algorithm to the job
configurator = Config()
map(lambda x: configurator.setalg(x['class'], x['configs']),
algConfigs)
else:
# Executing the python
# (configGlobals and configLocals are used to pass vars
configGlobals, configLocals = {}, {'args': args}
execfile(args.config, configGlobals, configLocals)
# Find the created xAODAnaHelpers.config.Config object and add its _algorithms to the Job
for k, v in configLocals.iteritems():
if isinstance(v, Config):
configurator = v
xAH_logger.info("\tusing branch access mode: ROOT.EL.Job.optXaodAccessMode_athena")
job.options().setString (ROOT.EL.Job.optXaodAccessMode, ROOT.EL.Job.optXaodAccessMode_athena)
else:
xAH_logger.info("\tusing class access mode: ROOT.EL.Job.optXaodAccessMode_class")
job.options().setString( ROOT.EL.Job.optXaodAccessMode, ROOT.EL.Job.optXaodAccessMode_class )
# formatted string
algorithmConfiguration_string = []
from xAODAnaHelpers import Config
configurator = None
if ".json" in args.config:
# parse_json is json.load + stripping comments
xAH_logger.debug("Loading json files")
algConfigs = xAH_utils.parse_json(args.config)
xAH_logger.debug("loaded the json configurations")
# add our algorithm to the job
configurator = Config()
map(lambda x: configurator.setalg(x['class'], x['configs']), algConfigs)
else:
# Executing the python
# (configGlobals and configLocals are used to pass vars
configGlobals, configLocals = {}, {'args': args}
execfile(args.config, configGlobals, configLocals)
# Find the created xAODAnaHelpers.config.Config object and add its _algorithms to the Job
for k,v in configLocals.iteritems():
if isinstance(v, Config):
configurator = v
break
