


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


lowerCAmelCase__       :	str     				=['CoLA', 'SST', 'MRPC', 'QQP', 'STS', 'MNLI', 'SNLI', 'QNLI', 'RTE', 'WNLI', 'diagnostic']
lowerCAmelCase__       :	List[Any]     				={
    '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',
}

lowerCAmelCase__       :	Tuple     				='https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt'
lowerCAmelCase__       :	Any     				='https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt'






def 		a__       (							A__,	A__							):
			print(F'''Downloading and extracting {task}...'''							)
			SCREAMING_SNAKE_CASE_						:			List[Any]       						= F'''{task}.zip'''
			urllib.request.urlretrieve(TASKaPATH[task],	SCREAMING_SNAKE_CASE__							)
			with zipfile.ZipFile(SCREAMING_SNAKE_CASE__							) as zip_ref:
						zip_ref.extractall(SCREAMING_SNAKE_CASE__							)
			os.remove(SCREAMING_SNAKE_CASE__							)
			print('\tCompleted!'							)






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

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

			with open(SCREAMING_SNAKE_CASE__,	encoding='utf8'							) as data_fh, open(
			    os.path.join(SCREAMING_SNAKE_CASE__,	'train.tsv'							),	'w',	encoding='utf8'							) as train_fh, open(os.path.join(SCREAMING_SNAKE_CASE__,	'dev.tsv'							),	'w',	encoding='utf8'							) as dev_fh:
						SCREAMING_SNAKE_CASE_						:			Optional[int]       						= data_fh.readline()
						train_fh.write(SCREAMING_SNAKE_CASE__							)
						dev_fh.write(SCREAMING_SNAKE_CASE__							)
						for row in data_fh:
									SCREAMING_SNAKE_CASE_						:			List[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(SCREAMING_SNAKE_CASE__,	encoding='utf8'							) as data_fh, open(
			    os.path.join(SCREAMING_SNAKE_CASE__,	'test.tsv'							),	'w',	encoding='utf8'							) as test_fh:
						SCREAMING_SNAKE_CASE_						:			List[str]       						= 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(SCREAMING_SNAKE_CASE__							):
									SCREAMING_SNAKE_CASE_						:			Dict       						= 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__							):
			print('Downloading and extracting diagnostic...'							)
			if not os.path.isdir(os.path.join(SCREAMING_SNAKE_CASE__,	'diagnostic'							)							):
						os.mkdir(os.path.join(SCREAMING_SNAKE_CASE__,	'diagnostic'							)							)
			SCREAMING_SNAKE_CASE_						:			Any       						= os.path.join(SCREAMING_SNAKE_CASE__,	'diagnostic',	'diagnostic.tsv'							)
			urllib.request.urlretrieve(TASKaPATH['diagnostic'],	SCREAMING_SNAKE_CASE__							)
			print('\tCompleted!'							)
			return






def 		a__       (							A__							):
			SCREAMING_SNAKE_CASE_						:			int       						= task_names.split(','							)
			if "all" in task_names:
						SCREAMING_SNAKE_CASE_						:			int       						= TASKS
			else:
						SCREAMING_SNAKE_CASE_						:			List[str]       						= []
						for task_name in task_names:
									if task_name not in TASKS:
												raise ValueError(F'''Task {task_name} not found!'''							)
									tasks.append(SCREAMING_SNAKE_CASE__							)
			return tasks






def 		a__       (							A__							):
			SCREAMING_SNAKE_CASE_						:			List[Any]       						= argparse.ArgumentParser()
			parser.add_argument('--data_dir',	help='directory to save data to',	type=SCREAMING_SNAKE_CASE__,	default='glue_data'							)
			parser.add_argument(
			    '--tasks',	help='tasks to download data for as a comma separated string',	type=SCREAMING_SNAKE_CASE__,	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=SCREAMING_SNAKE_CASE__,	default='',	)
			SCREAMING_SNAKE_CASE_						:			List[Any]       						= parser.parse_args(SCREAMING_SNAKE_CASE__							)

			if not os.path.isdir(args.data_dir							):
						os.mkdir(args.data_dir							)
			SCREAMING_SNAKE_CASE_						:			Tuple       						= 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(SCREAMING_SNAKE_CASE__,	args.data_dir							)


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







'''simple docstring'''
from __future__ import annotations

from collections.abc import Callable




def 					_UpperCamelCase		(    SCREAMING_SNAKE_CASE__      ,    SCREAMING_SNAKE_CASE__      ,    SCREAMING_SNAKE_CASE__      ,    SCREAMING_SNAKE_CASE__ = 100      ,    )   ->				float:


		'''simple docstring'''


		snake_case   :    int			       =		x_start
		snake_case   :    Tuple			       =		fnc(SCREAMING_SNAKE_CASE__       )
		snake_case   :    Dict			       =		0.0

		for _ in range(SCREAMING_SNAKE_CASE__       ):
				# Approximates small segments of curve as linear and solve
				# for trapezoidal area
				snake_case   :    str			       =		(x_end - x_start) / steps + xa
				snake_case   :    str			       =		fnc(SCREAMING_SNAKE_CASE__       )
				area += abs(fxa + fxa       ) * (xa - xa) / 2

				# Increment step
				snake_case   :    Any			       =		xa
				snake_case   :    List[str]			       =		fxa
		return area


if __name__ == "__main__":




						def 					_UpperCamelCase		(    SCREAMING_SNAKE_CASE__       )   ->				str:


								'''simple docstring'''


								return x**3

						print("f(x) = x^3")
						print("The area between the curve, x = -10, x = 10 and the x axis is:")
						lowercase__		    =	1_0
						while i <= 1_0_0_0_0_0:
												lowercase__		    =	trapezoidal_area(f, -5, 5, i)
												print(f"with {i} steps: {area}")
												i *= 1_0


