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program.terminate()
raise Exception
# Access the database.
database = access_database(filename = filename)
# Access or create the exchanges table.
table_exchanges = database[""exchanges""]
# Access exchanges.
table_name = ""exchanges""
# Create a datavision dataset.
data = datavision.Dataset()
# progress
progress = shijian.Progress()
progress.engage_quick_calculation_mode()
number_of_entries = len(database[table_name])
index = 0
for index_entry, entry in enumerate(database[table_name].all()):
if maximum_number_of_events is not None and\
index >= int(maximum_number_of_events):
log.info(
""loaded maximum requested number of events "" +
""({maximum_number_of_events})\r"".format(
maximum_number_of_events = maximum_number_of_events
)
)
break
#unique_identifier = str(entry[""id""])
utteranceWordVector = str(entry[""utteranceWordVector""])
responseWordVector = str(entry[""responseWordVector""])
if utteranceWordVector != ""None"" and responseWordVector != ""None"":
index += 1
utteranceWordVector = eval(""np."" + utteranceWordVector.replace(""float32"", ""np.float32""))
responseWordVector = eval(""np."" + responseWordVector.replace(""float32"", ""np.float32""))
data.variable(index = index, name = ""utteranceWordVector"", value = utteranceWordVector)
data.variable(index = index, name = ""responseWordVector"", value = responseWordVector )
#utteranceWordVector = list(eval(""np."" + utteranceWordVector.replace(""float32"", ""np.float32"")))
#responseWordVector = list(eval(""np."" + responseWordVector.replace(""float32"", ""np.float32"")))
#for index_component, component in enumerate(utteranceWordVector):
# data.variable(index = index, name = ""uwv"" + str(index_component), value = component)
#for index_component, component in enumerate(responseWordVector):
# data.variable(index = index, name = ""rwv"" + str(index_component), value = component)
print progress.add_datum(fraction = index_entry / number_of_entries),
return data"
4545,"def access_SUSY_dataset_format_file(filename):
""""""
This function accesses a CSV file containing data of the form of the [SUSY
dataset](https://archive.ics.uci.edu/ml/datasets/SUSY), i.e. with the first
column being class labels and other columns being features.
""""""
# Load the CSV file to a list.
with open(filename, ""rb"") as dataset_file:
dataset_CSV = [row for row in csv.reader(dataset_file, delimiter = "","")]
# Reorganise the data.
return [
i for i in itertools.chain(*[list((element[1:],
[int(float(element[0]))])) for element in dataset_CSV])
]"
4546,"def load_HEP_data(
ROOT_filename = ""output.root"",
tree_name = ""nominal"",
maximum_number_of_events = None
):
""""""
Load HEP data and return dataset.
""""""
ROOT_file = open_ROOT_file(ROOT_filename)
tree = ROOT_file.Get(tree_name)
number_of_events = tree.GetEntries()
data = datavision.Dataset()
progress = shijian.Progress()
progress.engage_quick_calculation_mode()
# counters
number_of_events_loaded = 0
log.info("""")
index = 0
for event in tree:
if maximum_number_of_events is not None and\
number_of_events_loaded >= int(maximum_number_of_events):
log.info(
""loaded maximum requested number of events "" +
""({maximum_number_of_events})\r"".format(
maximum_number_of_events = maximum_number_of_events
)
)
break
print progress.add_datum(fraction = (index + 2) / number_of_events),
if select_event(event):
index += 1
#event.GetReadEntry()
#data.variable(index = index, name = ""eventNumber"", value = event.eventNumber)
data.variable(index = index, name = ""el_1_pt"", value = event.el_pt[0])
#data.variable(index = index, name = ""el_1_eta"", value = event.el_eta[0])