def run_script(self, cmd):
# print("RUN", cmd)
with tempfile.TemporaryDirectory() as tmpdir:
outfile = pathlib.Path(tmpdir) / "out.trees"
# Avoid dairquiri mucking up the logging setup for unittest.
with unittest.mock.patch("daiquiri.setup"):
algorithms.main(cmd.split() + [str(outfile)])
return tskit.load(outfile)
def run(args):
l = loader.DataLoader(args.dataset, args.k, args.mode, args.dataset_path,
args.crowd_annotations_path, args.ground_truths_path)
data, gt = l.get_data()
result, accuracy = algorithms.main(args, data, gt)
ind_to_question_dict = l.get_ind_to_question_dict()
ind_to_annotation_dict = l.get_ind_to_annotation_dict()
result_annotations = pd.DataFrame(data=result, columns=['Annotation'])
result_annotations.reset_index(level=0, inplace=True)
result_annotations = result_annotations.rename(
columns={'index': 'Question'})
result_annotations['Question'] = result_annotations['Question'].map(
ind_to_question_dict)
result_annotations['Annotation'] = result_annotations['Annotation'].map(
ind_to_annotation_dict)
if args.print_result:
print("Predictions:")
print(result_annotations)
if args.mode == 'test':
print("Accuracy:")
print(accuracy)
if args.output is not None:
utils.to_csv(result, args.output, ind_to_question_dict,
ind_to_annotation_dict)
def main(events): # Main function
try:
for event in events.listen():
if event.type == VkBotEventType.MESSAGE_NEW: # For messages in chat
response = event.message.text.lower()
keyboard = Keyboard(response).create_main()
if int(event.message.peer_id) != 233071173:
response = algorithms.main(response, data.commands)
Messages().response_determination(admin=False, response=response, event=event, keyboard=keyboard)
else:
Messages().response_determination(admin=True, response=response, event=event, keyboard=keyboard)
if event.message.payload is not None:
Messages.payload_determination(event)
time.sleep(1)
except:
time.sleep(1)
return main(longpoll)
import algorithms
if __name__ == "__main__":
algorithms.main()
