code: 
  '''simple docstring'''
  import argparse
  import os
  import sys
  import urllib.request
  import zipfile
  
  
  lowercase__						=			["CoLA", "SST", "MRPC", "QQP", "STS", "MNLI", "SNLI", "QNLI", "RTE", "WNLI", "diagnostic"]
  lowercase__						=			{
      "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",
  }
  
  lowercase__						=			"https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"
  lowercase__						=			"https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"
  
  
  
  
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__ )     ->       List[str]:
  
  
  		'''simple docstring'''
  
  
  		print(F'Downloading and extracting {task}...' )
  		snake_case     :					List[str]     =	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       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__ )     ->       Union[str, Any]:
  
  
  		'''simple docstring'''
  
  
  		print('''Processing MRPC...''' )
  		snake_case     :					Optional[Any]     =	os.path.join(SCREAMING_SNAKE_CASE__   ,					'''MRPC''' )
  		if not os.path.isdir(SCREAMING_SNAKE_CASE__ ):
  				os.mkdir(SCREAMING_SNAKE_CASE__ )
  		if path_to_data:
  				snake_case     :					int     =	os.path.join(SCREAMING_SNAKE_CASE__   ,					'''msr_paraphrase_train.txt''' )
  				snake_case     :					Tuple     =	os.path.join(SCREAMING_SNAKE_CASE__   ,					'''msr_paraphrase_test.txt''' )
  		else:
  				print('''Local MRPC data not specified, downloading data from %s''' % MRPC_TRAIN )
  				snake_case     :					Optional[int]     =	os.path.join(SCREAMING_SNAKE_CASE__   ,					'''msr_paraphrase_train.txt''' )
  				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''' ) )
  
  		snake_case     :					str     =	[]
  		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:
  				snake_case     :					str     =	data_fh.readline()
  				train_fh.write(SCREAMING_SNAKE_CASE__ )
  				dev_fh.write(SCREAMING_SNAKE_CASE__ )
  				for row in data_fh:
  						snake_case ,snake_case ,snake_case ,snake_case ,snake_case     :					int     =	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:
  				snake_case     :					Tuple     =	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__ ):
  						snake_case ,snake_case ,snake_case ,snake_case ,snake_case     :					Optional[Any]     =	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       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       Any:
  
  
  		'''simple docstring'''
  
  
  		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''' ) )
  		snake_case     :					Tuple     =	os.path.join(SCREAMING_SNAKE_CASE__   ,					'''diagnostic'''   ,					'''diagnostic.tsv''' )
  		urllib.request.urlretrieve(TASKaPATH['''diagnostic''']   ,					SCREAMING_SNAKE_CASE__ )
  		print('''\tCompleted!''' )
  		return
  
  
  
  
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       Any:
  
  
  		'''simple docstring'''
  
  
  		snake_case     :					Tuple     =	task_names.split(''',''' )
  		if "all" in task_names:
  				snake_case     :					int     =	TASKS
  		else:
  				snake_case     :					Any     =	[]
  				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       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       Optional[int]:
  
  
  		'''simple docstring'''
  
  
  		snake_case     :					int     =	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=''''''   ,					)
  		snake_case     :					Optional[int]     =	parser.parse_args(SCREAMING_SNAKE_CASE__ )
  
  		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(SCREAMING_SNAKE_CASE__   ,					args.data_dir )
  
  
  if __name__ == "__main__":
  						sys.exit(main(sys.argv[1:]))
  
  
  
style_context: 
  '''simple docstring'''
  def       _UpperCamelCase	(					)     ->       int:
  
  
  		'''simple docstring'''
  
  
  		for a in range(300 ):
  				for b in range(a + 1   ,					400 ):
  						for c in range(b + 1   ,					500 ):
  								if (a + b + c) == 1000 and (a**2) + (b**2) == (c**2):
  										return a * b * c
  
  		return -1
  
  
  
  
  def       _UpperCamelCase	(					)     ->       int:
  
  
  		'''simple docstring'''
  
  
  		for a in range(300 ):
  				for b in range(400 ):
  						snake_case     :					Dict     =	1000 - a - b
  						if a < b < c and (a**2) + (b**2) == (c**2):
  								return a * b * c
  
  		return -1
  
  
  
  
  def       _UpperCamelCase	(					)     ->       None:
  
  
  		'''simple docstring'''
  
  
  		import timeit
  
  		print(
  		    timeit.timeit('''solution()'''   ,					setup='''from __main__ import solution'''   ,					number=1000 ) )
  		print(
  		    timeit.timeit(
  		        '''solution_fast()'''   ,					setup='''from __main__ import solution_fast'''   ,					number=1000 ) )
  
  
  if __name__ == "__main__":
  						print(f"{solution() = }")
  
  
  