code: 
  
  import argparse
  import os
  import sys
  import urllib.request
  import zipfile
  
  
  UpperCAmelCase_       :				Tuple		   =      ['''CoLA''', '''SST''', '''MRPC''', '''QQP''', '''STS''', '''MNLI''', '''SNLI''', '''QNLI''', '''RTE''', '''WNLI''', '''diagnostic''']
  UpperCAmelCase_       :				Dict		   =      {
      '''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_       :				Optional[int]		   =      '''https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt'''
  UpperCAmelCase_       :				List[str]		   =      '''https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt'''
  def        __SCREAMING_SNAKE_CASE    (      a__						:      Any ,a__						:      Any					)				->							Union[str, Any]:
  	print(f"""Downloading and extracting {task}..."""					)
  	__A   : List[Any]								= 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        __SCREAMING_SNAKE_CASE    (      a__						:      Any ,a__						:      Optional[int]					)				->							Any:
  	print("""Processing MRPC..."""					)
  	__A   : List[str]								= os.path.join(a__ ,"""MRPC"""					)
  	if not os.path.isdir(a__					):
  		os.mkdir(a__					)
  	if path_to_data:
  		__A   : Optional[int]								= os.path.join(a__ ,"""msr_paraphrase_train.txt"""					)
  		__A   : Dict								= os.path.join(a__ ,"""msr_paraphrase_test.txt"""					)
  	else:
  		print("""Local MRPC data not specified, downloading data from %s""" % MRPC_TRAIN					)
  		__A   : int								= os.path.join(a__ ,"""msr_paraphrase_train.txt"""					)
  		__A   : Optional[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"""					)					)
  
  	__A   : Optional[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:
  		__A   : int								= data_fh.readline()
  		train_fh.write(a__					)
  		dev_fh.write(a__					)
  		for row in data_fh:
  			__A						,							__A						,							__A						,							__A						,							__A   : Union[str, 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:
  		__A   : Dict								= 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__					):
  			__A						,							__A						,							__A						,							__A						,							__A   : 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        __SCREAMING_SNAKE_CASE    (      a__						:      List[str]					)				->							str:
  	print("""Downloading and extracting diagnostic..."""					)
  	if not os.path.isdir(os.path.join(a__ ,"""diagnostic"""					)					):
  		os.mkdir(os.path.join(a__ ,"""diagnostic"""					)					)
  	__A   : int								= os.path.join(a__ ,"""diagnostic""" ,"""diagnostic.tsv"""					)
  	urllib.request.urlretrieve(TASKaPATH["""diagnostic"""] ,a__					)
  	print("""\tCompleted!"""					)
  	return
  def        __SCREAMING_SNAKE_CASE    (      a__						:      List[Any]					)				->							Any:
  	__A   : Union[str, Any]								= task_names.split(""","""					)
  	if "all" in task_names:
  		__A   : str								= TASKS
  	else:
  		__A   : Optional[int]								= []
  		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        __SCREAMING_SNAKE_CASE    (      a__						:      Optional[Any]					)				->							List[str]:
  	__A   : Union[str, Any]								= 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="""""" ,)
  	__A   : int								= parser.parse_args(a__					)
  
  	if not os.path.isdir(args.data_dir					):
  		os.mkdir(args.data_dir					)
  	__A   : List[str]								= 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:]))
  
  
  
  
  
  
style_context: 
  
  import unittest
  from pathlib import Path
  
  from transformers import is_vision_available, load_tool
  from transformers.testing_utils import get_tests_dir
  
  from .test_tools_common import ToolTesterMixin
  
  
  if is_vision_available():
  			from PIL import Image
  
  
  
  
  
  
  class     lowerCamelCase_			(  unittest.TestCase	,			_lowercase  ):
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    Dict       ):
  		__A   : str								= load_tool("""image-captioning"""       )
  		self.tool.setup()
  		__A   : Dict								= load_tool("""image-captioning"""				,			remote=__A       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    Optional[int]       ):
  		__A   : List[Any]								= Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""       )       ) / """000000039769.png"""       )
  		__A   : Optional[Any]								= self.tool(__A       )
  		self.assertEqual(__A				,			"""two cats sleeping on a couch"""       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    Dict       ):
  		__A   : Any								= Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""       )       ) / """000000039769.png"""       )
  		__A   : List[str]								= self.remote_tool(__A       )
  		self.assertEqual(__A				,			"""two cats sleeping on a couch"""       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    Union[str, Any]       ):
  		__A   : Optional[Any]								= Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""       )       ) / """000000039769.png"""       )
  		__A   : str								= self.tool(image=__A       )
  		self.assertEqual(__A				,			"""two cats sleeping on a couch"""       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    str       ):
  		__A   : Dict								= Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""       )       ) / """000000039769.png"""       )
  		__A   : List[Any]								= self.remote_tool(image=__A       )
  		self.assertEqual(__A				,			"""two cats sleeping on a couch"""       )
  
  
  
  
  
  