
'''simple docstring'''





import argparse
import os
import sys
import urllib.request
import zipfile


UpperCAmelCase            = ["CoLA", "SST", "MRPC", "QQP", "STS", "MNLI", "SNLI", "QNLI", "RTE", "WNLI", "diagnostic"]
UpperCAmelCase            = {
    "CoLA": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FCoLA.zip?alt=media&token=46d5e637-3411-4188-bc44-5809b5bfb5f4",
    "SST": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSST-2.zip?alt=media&token=aabc5f6b-e466-44a2-b9b4-cf6337f84ac8",
    "MRPC": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2Fmrpc_dev_ids.tsv?alt=media&token=ec5c0836-31d5-48f4-b431-7480817f1adc",
    "QQP": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FQQP.zip?alt=media&token=700c6acf-160d-4d89-81d1-de4191d02cb5",
    "STS": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSTS-B.zip?alt=media&token=bddb94a7-8706-4e0d-a694-1109e12273b5",
    "MNLI": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FMNLI.zip?alt=media&token=50329ea1-e339-40e2-809c-10c40afff3ce",
    "SNLI": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSNLI.zip?alt=media&token=4afcfbb2-ff0c-4b2d-a09a-dbf07926f4df",
    "QNLI": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FQNLIv2.zip?alt=media&token=6fdcf570-0fc5-4631-8456-9505272d1601",
    "RTE": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FRTE.zip?alt=media&token=5efa7e85-a0bb-4f19-8ea2-9e1840f077fb",
    "WNLI": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FWNLI.zip?alt=media&token=068ad0a0-ded7-4bd7-99a5-5e00222e0faf",
    "diagnostic": "https://storage.googleapis.com/mtl-sentence-representations.appspot.com/tsvsWithoutLabels%2FAX.tsv?GoogleAccessId=firebase-adminsdk-0khhl@mtl-sentence-representations.iam.gserviceaccount.com&Expires=2498860800&Signature=DuQ2CSPt2Yfre0C%2BiISrVYrIFaZH1Lc7hBVZDD4ZyR7fZYOMNOUGpi8QxBmTNOrNPjR3z1cggo7WXFfrgECP6FBJSsURv8Ybrue8Ypt%2FTPxbuJ0Xc2FhDi%2BarnecCBFO77RSbfuz%2Bs95hRrYhTnByqu3U%2FYZPaj3tZt5QdfpH2IUROY8LiBXoXS46LE%2FgOQc%2FKN%2BA9SoscRDYsnxHfG0IjXGwHN%2Bf88q6hOmAxeNPx6moDulUF6XMUAaXCSFU%2BnRO2RDL9CapWxj%2BDl7syNyHhB7987hZ80B%2FwFkQ3MEs8auvt5XW1%2Bd4aCU7ytgM69r8JDCwibfhZxpaa4gd50QXQ%3D%3D",
}

UpperCAmelCase            = "https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"
UpperCAmelCase            = "https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"

def   A			(							A_				:       Tuple     ,				A_				:       Tuple							):
						print(F"""Downloading and extracting {task}..."""							)
						snake_case							:  List[str]			=     F"""{task}.zip"""
						urllib.request.urlretrieve(TASKaPATH[task]     ,				A_							)
						with zipfile.ZipFile(A_							) as zip_ref:
												zip_ref.extractall(A_							)
						os.remove(A_							)
						print('''\tCompleted!'''							)

def   A			(							A_				:       Optional[int]     ,				A_				:       Any							):
						print('''Processing MRPC...'''							)
						snake_case							:  str			=     os.path.join(A_     ,				'''MRPC'''							)
						if not os.path.isdir(A_							):
												os.mkdir(A_							)
						if path_to_data:
												snake_case							:  Dict			=     os.path.join(A_     ,				'''msr_paraphrase_train.txt'''							)
												snake_case							:  Tuple			=     os.path.join(A_     ,				'''msr_paraphrase_test.txt'''							)
						else:
												print('''Local MRPC data not specified, downloading data from %s''' % MRPC_TRAIN							)
												snake_case							:  int			=     os.path.join(A_     ,				'''msr_paraphrase_train.txt'''							)
												snake_case							:  int			=     os.path.join(A_     ,				'''msr_paraphrase_test.txt'''							)
												urllib.request.urlretrieve(A_     ,				A_							)
												urllib.request.urlretrieve(A_     ,				A_							)
						if not os.path.isfile(A_							):
												raise ValueError(F"""Train data not found at {mrpc_train_file}"""							)
						if not os.path.isfile(A_							):
												raise ValueError(F"""Test data not found at {mrpc_test_file}"""							)
						urllib.request.urlretrieve(TASKaPATH['''MRPC''']     ,				os.path.join(A_     ,				'''dev_ids.tsv'''							)							)

						snake_case							:  int			=     []
						with open(os.path.join(A_     ,				'''dev_ids.tsv'''							)     ,				encoding='''utf8'''							) as ids_fh:
												for row in ids_fh:
																		dev_ids.append(row.strip().split('''\t'''							)							)

						with open(A_     ,				encoding='''utf8'''							) as data_fh, open(
						    os.path.join(A_     ,				'''train.tsv'''							)     ,				'''w'''     ,				encoding='''utf8'''							) as train_fh, open(os.path.join(A_     ,				'''dev.tsv'''							)     ,				'''w'''     ,				encoding='''utf8'''							) as dev_fh:
												snake_case							:  Dict			=     data_fh.readline()
												train_fh.write(A_							)
												dev_fh.write(A_							)
												for row in data_fh:
																		snake_case,       snake_case,       snake_case,       snake_case,       snake_case							:  Any			=     row.strip().split('''\t'''							)
																		if [ida, ida] in dev_ids:
																								dev_fh.write('''%s\t%s\t%s\t%s\t%s\n''' % (label, ida, ida, sa, sa)							)
																		else:
																								train_fh.write('''%s\t%s\t%s\t%s\t%s\n''' % (label, ida, ida, sa, sa)							)

						with open(A_     ,				encoding='''utf8'''							) as data_fh, open(
						    os.path.join(A_     ,				'''test.tsv'''							)     ,				'''w'''     ,				encoding='''utf8'''							) as test_fh:
												snake_case							:  Optional[int]			=     data_fh.readline()
												test_fh.write('''index\t#1 ID\t#2 ID\t#1 String\t#2 String\n'''							)
												for idx, row in enumerate(A_							):
																		snake_case,       snake_case,       snake_case,       snake_case,       snake_case							:  List[str]			=     row.strip().split('''\t'''							)
																		test_fh.write('''%d\t%s\t%s\t%s\t%s\n''' % (idx, ida, ida, sa, sa)							)
						print('''\tCompleted!'''							)

def   A			(							A_				:       Dict							):
						print('''Downloading and extracting diagnostic...'''							)
						if not os.path.isdir(os.path.join(A_     ,				'''diagnostic'''							)							):
												os.mkdir(os.path.join(A_     ,				'''diagnostic'''							)							)
						snake_case							:  Any			=     os.path.join(A_     ,				'''diagnostic'''     ,				'''diagnostic.tsv'''							)
						urllib.request.urlretrieve(TASKaPATH['''diagnostic''']     ,				A_							)
						print('''\tCompleted!'''							)
						return

def   A			(							A_				:       int							):
						snake_case							:  int			=     task_names.split(''','''							)
						if "all" in task_names:
												snake_case							:  Tuple			=     TASKS
						else:
												snake_case							:  str			=     []
												for task_name in task_names:
																		if task_name not in TASKS:
																								raise ValueError(F"""Task {task_name} not found!"""							)
																		tasks.append(A_							)
						return tasks

def   A			(							A_				:       List[Any]							):
						snake_case							:  int			=     argparse.ArgumentParser()
						parser.add_argument('''--data_dir'''     ,				help='''directory to save data to'''     ,				type=A_     ,				default='''glue_data'''							)
						parser.add_argument(
						    '''--tasks'''     ,				help='''tasks to download data for as a comma separated string'''     ,				type=A_     ,				default='''all'''							)
						parser.add_argument(
						    '''--path_to_mrpc'''     ,				help='''path to directory containing extracted MRPC data, msr_paraphrase_train.txt and msr_paraphrase_text.txt'''     ,				type=A_     ,				default=''''''     ,				)
						snake_case							:  Dict			=     parser.parse_args(A_							)

						if not os.path.isdir(args.data_dir							):
												os.mkdir(args.data_dir							)
						snake_case							:  List[Any]			=     get_tasks(args.tasks							)

						for task in tasks:
												if task == "MRPC":
																		format_mrpc(args.data_dir     ,				args.path_to_mrpc							)
												elif task == "diagnostic":
																		download_diagnostic(args.data_dir							)
												else:
																		download_and_extract(A_     ,				args.data_dir							)


if __name__ == "__main__":
						sys.exit(main(sys.argv[1:]))



'''simple docstring'''





import numpy as np
import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute

def   A			(							A_				:       float = np.pi / 2     ,				A_				:       float = np.pi / 2     ,				A_				:       float = np.pi / 2							):
						snake_case							:  List[Any]			=     QuantumRegister(3     ,				'''qr'''							)  # Define the number of quantum bits
						snake_case							:  List[Any]			=     ClassicalRegister(1     ,				'''cr'''							)  # Define the number of classical bits

						snake_case							:  Dict			=     QuantumCircuit(A_     ,				A_							)  # Define the quantum circuit.

						# Build the circuit
						quantum_circuit.u(A_     ,				A_     ,				A_     ,				0							)  # Quantum State to teleport
						quantum_circuit.h(1							)  # add hadamard gate
						quantum_circuit.cx(
						    1     ,				2							)  # add control gate with qubit 1 as control and 2 as target.
						quantum_circuit.cx(0     ,				1							)
						quantum_circuit.h(0							)
						quantum_circuit.cz(0     ,				2							)  # add control z gate.
						quantum_circuit.cx(1     ,				2							)

						quantum_circuit.measure([2]     ,				[0]							)  # measure the qubit.

						# Simulate the circuit using qasm simulator
						snake_case							:  str			=     Aer.get_backend('''aer_simulator'''							)
						snake_case							:  List[str]			=     execute(A_     ,				A_     ,				shots=1000							)

						return job.result().get_counts(A_							)


if __name__ == "__main__":
						print(
						    "Total count for teleported state is: "
						    f'''{quantum_teleportation(np.pi/2, np.pi/2, np.pi/2)}'''
						)

