regions = sorted([region for region in glob.glob('supercuts/*-*.json') if all([skipRegion not in region for skipRegion in skipRegions])], key=lambda x: int(x.split('.')[0].split('-')[1]))
eventNumbers = defaultdict(list)
tree_name = 'oTree'
eventWeightBranch = 'event_number'
files = glob.glob("TA02_MBJ13V4-6/ttbarExc_0L/fetch/data-optimizationTree/*407012*.root")
for region in regions:
supercuts = json.load(file(region))
tree = get_ttree(tree_name, files, eventWeightBranch)
branchesSpecified = list(set(itertools.chain.from_iterable(selection_to_branches(supercut['selections'], tree) for supercut in supercuts)))
eventWeightBranchesSpecified = list(set(selection_to_branches(eventWeightBranch, tree)))
# get actual list of branches in the file
availableBranches = tree_get_branches(tree, eventWeightBranchesSpecified)
# remove anything that doesn't exist
branchesToUse = [branch for branch in branchesSpecified if branch in availableBranches]
branchesSkipped = list(set(branchesSpecified) - set(branchesToUse))
if branchesSkipped:
logger.info("The following branches have been skipped...")
for branch in branchesSkipped:
logger.info("\t{0:s}".format(branch))
tree = rnp.tree2array(tree, branches=eventWeightBranchesSpecified+branchesToUse)
entireSelection = '{0:s}*{1:s}'.format(eventWeightBranch, cuts_to_selection(supercuts))
result = ne.evaluate(entireSelection, local_dict = tree)
for event_number in result[np.where(result!=0)]:
differences = []
#c = ROOT.TCanvas("canvas", "canvas", 500, 500)
for subercuts in combinations(supercuts, len(supercuts)-1):
# hold the differences and create a text file with them later for reference
# use integers to denote them
differences.append([x for x in supercuts if x not in subercuts][0])
# get the selection we apply to draw it
selection = optimize.cuts_to_selection(subercuts)
# get the branch we need to draw
selection_string = differences[-1]['selections']
print("\tLooking at selection: {0}".format(selection_string))
branchesSpecified = set(optimize.selection_to_branches(selection_string, tree))
# get actual list of branches in the file
availableBranches = optimize.tree_get_branches(tree, args.eventWeightBranch)
# remove anything that doesn't exist
branchesToUse = [branch for branch in branchesSpecified if branch in availableBranches]
# more than one branch, we skip and move to the next
if len(branchesToUse) == 0:
print("\t\tWarning: selection has no branches.")
del differences[-1]
continue
# at least one branch in there
branchToDraw = branchesToUse[0]
# in most cases, these will be the same, we separate for the top tagging case
histName = branchToDraw
if len(branchesToUse) > 1:
