# print "Got: 3: %s, 4p: %s, 3p: %s"%(res3, res4p, res3p)
return (estimate.uniqueKey(r, channel, setup3p), res3p)
if "all" in channels: channels = ["e", "mu", "all"]
jobs = []
for channel in channels:
for (i, r) in enumerate(allPhotonRegions):
# if args.selectRegion != i: continue
jobs.append((r, channel, setup3p, None, setup3, setup4p))
if not estimate.isData and not args.noSystematics:
if "TTG" in args.selectEstimator:
addJobs = estimate.getSigSysJobs(r, channel, setup3p)
else:
addJobs = estimate.getBkgSysJobs(r, channel, setup3p)
for j in addJobs:
jobs.append(tuple(list(j) + [setup3, setup4p]))
print "Running %i jobs in total." % len(jobs)
if args.nJobs != 1:
jobs = splitList(jobs, args.nJobs)[args.job]
if args.cores == 1:
results = map(wrapper, jobs)
else:
from multiprocessing import Pool
pool = Pool(processes=args.cores)
results = pool.map(wrapper, jobs)
pool.close()
estimateTo = copy.deepcopy(estimateFrom)
estimateFrom.initCache(fromDir)
estimateTo.initCache(setup.defaultCacheDir())
if "all" in channels: channels = ["e", "mu"]
jobs = []
for channel in channels:
for (i, r) in enumerate(allPhotonRegions):
# if args.selectRegion != i: continue
jobs.append((r, channel, setup, None))
if not estimateFrom.isData and not args.noSystematics:
if "TTG" in args.selectEstimator:
jobs.extend(estimateFrom.getSigSysJobs(r, channel, setup))
else:
jobs.extend(estimateFrom.getBkgSysJobs(r, channel, setup))
print "Running %i jobs in total." % len(jobs)
#jobs = splitList( jobs, 32)[1]
if args.nJobs != 1:
jobs = splitList(jobs, args.nJobs)[args.job]
if args.cores == 1:
results = map(wrapper, jobs)
else:
from multiprocessing import Pool
pool = Pool(processes=args.cores)
results = pool.map(wrapper, jobs)
pool.close()
pool.join()