args = parser.parse_args()
input_file = args.input_file
index = args.index
#directory = os.path.dirname(input_file)
hn = socket.gethostname()
#pt = Paths(input_file, index, hn)
pt = Paths(index, hn)
process = args.process
## Read the coefficients database
## if there's any
lmap = LambdaMap.LambdaMap()
if args.lambdas: lmap.read(args.lambdas)
StoredHistoPath = pt.histos_location_it(
) ## path to save the filled histogram map
StoredLambdaPath = pt.lambdas_location_it(
) ## path to save the filled histogram map
#FittedHistoPath = 'FittedHistograms.gz' ## path to save the fitted histogram map
LambdasLocation = pt.lambdas_location(
) ## path to the coefficients to be used at the next step
LambdasDBPath = pt.lambdas_db_location() ## DBase for re-reconstruction
def FillTheHistograms():
## ==============================
## fill the histograms
## ==============================
histos, badfiles = fillDatabase( ## recieve a map of filled histograms and list of incorrect files
lmap ## map of the calibration coefficients
,
