parser.add_argument("--input-file",
type=str,
dest="input_file",
nargs='*',
default=None)
parser.add_argument("--index", type=int, dest="index", default=None)
parser.add_argument("--lambdas", type=str, dest="lambdas", default=None)
args = parser.parse_args()
input_file = args.input_file
index = args.index
lambdas = args.lambdas
hn = socket.gethostname()
pt = Paths(index, hn)
directory = pt.dst_dir
fmdst_file = os.path.join(directory, pt.fileprefix())
print lambdas
class fmProd(object):
"""
The fmDST production task to be run on each core
of the node. Input parameters:
njob - number of the current job
nevt - number of events to be processed
dsname - output dataset name
inputs - list of input files
"""
def __init__(self, njob, nevt=-1, dsname=fmdst_file, inputs=[]):
self.__process = Process(target=self.run)
dest="input_file",
nargs='*',
default=None)
parser.add_argument("--index", type=int, dest="index", default=None)
parser.add_argument("--lambdas", type=str, dest="lambdas", default=None)
args = parser.parse_args()
input_files = args.input_file
index = args.index
lambdas = args.lambdas
hn = socket.gethostname()
#directory = os.path.dirname(input_file)
#pt = Paths(input_file, index, hn)
pt = Paths(index, hn)
directory = pt.dst_dir
tup_file = os.path.join(directory, pt.fileprefix()) + '.root'
fmdst_file = os.path.join(directory, pt.fileprefix()) + '.fmDST'
print lambdas
if lambdas == 'None':
kali = firstPass(
##-- cuts and filters
PtGamma=250 * MeV, ## selection cuts
## event multiplicity filter
Filter=
"(650. > CONTAINS('Raw/Spd/Digits')) & ( CONTAINS('Rec/Vertex/Primary') > 0.) & ( CONTAINS('Rec/Vertex/Primary') < 5.)",
##-- output
NTupleProduce=True, # produce NTuples
NTuple=tup_file, # NTuple name
