def createRandomizedFile(input_file_name):
f = uproot.open(input_file_name)
for input_tree_name in getFileKeys(f):
tree = f[input_tree_name]
#collection of branches in input file and their information
branch_collection = BranchInfoCollection(tree)
#split root file randomly into root_file
number_of_splittings = numberOfFileSplittings(tree)
split_file = TFile(splitFileName(input_file_name), 'RECREATE')
split_trees = []
for i in range(number_of_splittings):
t = TTree(input_tree_name + str(i), input_tree_name + str(i))
branch_collection.addBranches(t)
split_trees.append(t)
for array_map in TreeIterator(tree):
#write each event to a random input file
random_file_choices = np.random.choice(
np.arange(number_of_splittings), len(array_map))
for j in range(len(array_map)):
branch_collection.fillArrays(array_map, j)
split_trees[random_file_choices[j]].Fill()
for t in split_trees:
t.Write()
split_file.Close()
#read in new root file
split_file = uproot.open(splitFileName(input_file_name))
split_trees = [split_file[key] for key in getFileKeys(split_file)]
#make randomized output file to which to write the split trees after shuffling
randomized_file = TFile(randomizedFileName(input_file_name),
'RECREATE')
randomized_tree = TTree(input_tree_name, input_tree_name)
branch_collection.addBranches(randomized_tree)
for t in split_trees:
#load arrays for each of the split trees
loaded_arrays = {
key.decode('utf-8'): value
for key, value in t.arrays().items()
}
#randomly shuffle all arrays
size = len(t)
random_indices = randomIndices(size)
for key in loaded_arrays:
loaded_arrays[key] = loaded_arrays[key][random_indices]
for j in range(size):
branch_collection.fillArrays(loaded_arrays, j)
randomized_tree.Fill()
#write fully randomized file
randomized_tree.Write()
randomized_file.Close()
#clean up temporary split file
os.remove(splitFileName(input_file_name))
