if actualKey in triggersTypeMap:
types.update(
{str(strippedTrigger): triggersTypeMap[actualKey]})
else:
types.update({str(strippedTrigger): default_name})
if not (name in triggerList): triggerList.append(name)
for dataset in datasets[strippedTrigger]:
if not dataset in primaryDatasetList:
primaryDatasetCounts.update({str(dataset): 0})
if not dataset in primaryDatasetList:
primaryDatasetList.append(dataset)
if opts.maps == "allmaps":
newDataset = dataset
if dataset in newDatasetMap.keys():
newDataset = newDatasetMap[dataset]
if newDataset not in newDatasetList:
newDatasetCounts.update({str(newDataset): 0})
newDatasetList.append(newDataset)
for group in groups[strippedTrigger]:
if not group in groupList:
groupCounts.update({str(group): 0})
if not group in groupList:
groupCountsShared.update({str(group): 0})
if not group in groupList:
groupCountsPure.update({str(group): 0})
if not group in groupList: groupList.append(group)
for stream in streams[strippedTrigger]:
if not stream in streamList:
streamCounts.update({str(stream): 0})
if dataset in datasetStreamMap.keys():
if stream != datasetStreamMap[dataset]:
continue
else:
continue
if dataset in processed_datasets: continue
dataset_index_map[dataset] = j
if dD_histo.GetBinContent(j, j) < min_count:
min_count = dD_histo.GetBinContent(j, j)
min_dataset = dD_histo.GetYaxis().GetBinLabel(j)
if min_dataset != "":
sorted_dataset_list.append(min_dataset)
processed_datasets.append(min_dataset)
if opts.maps == "allmaps":
newDataset = min_dataset
if min_dataset in newDatasetMap.keys():
newDataset = newDatasetMap[min_dataset]
if newDataset != "" and not (
newDataset in sorted_newDataset_list):
sorted_newDataset_list.append(newDataset)
sorted_dataset_list.append("NonPure")
if opts.maps == "allmaps":
sorted_newDataset_list.append("NonPure")
dataset_index_map["NonPure"] = tD_histo.GetNbinsX()
if opts.maps == "allmaps":
for jj in range(1, newtD_histo.GetNbinsX() + 1):
dataset = newtD_histo.GetXaxis().GetBinLabel(jj)
newDataset_index_map[dataset] = jj