code: 
  '''simple docstring'''
  
  
  
  import argparse
  import os
  import sys
  import urllib.request
  import zipfile
  
  
  __A          =    ['''CoLA''', '''SST''', '''MRPC''', '''QQP''', '''STS''', '''MNLI''', '''SNLI''', '''QNLI''', '''RTE''', '''WNLI''', '''diagnostic''']
  __A          =    {
      '''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''',
  }
  
  __A          =    '''https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt'''
  __A          =    '''https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt'''
  
  
  
  
  
  def  _A		(							lowercase__		,		lowercase__	):
  						print(f'''Downloading and extracting {task}...'''	)
  						lowercase__							 =       f'''{task}.zip'''
  						urllib.request.urlretrieve(TASKaPATH[task]		,		lowercase__	)
  						with zipfile.ZipFile(lowercase__	) as zip_ref:
  												zip_ref.extractall(lowercase__	)
  						os.remove(lowercase__	)
  						print("""\tCompleted!"""	)
  
  
  
  
  
  def  _A		(							lowercase__		,		lowercase__	):
  						print("""Processing MRPC..."""	)
  						lowercase__							 =       os.path.join(lowercase__		,		"""MRPC"""	)
  						if not os.path.isdir(lowercase__	):
  												os.mkdir(lowercase__	)
  						if path_to_data:
  												lowercase__							 =       os.path.join(lowercase__		,		"""msr_paraphrase_train.txt"""	)
  												lowercase__							 =       os.path.join(lowercase__		,		"""msr_paraphrase_test.txt"""	)
  						else:
  												print("""Local MRPC data not specified, downloading data from %s""" % MRPC_TRAIN	)
  												lowercase__							 =       os.path.join(lowercase__		,		"""msr_paraphrase_train.txt"""	)
  												lowercase__							 =       os.path.join(lowercase__		,		"""msr_paraphrase_test.txt"""	)
  												urllib.request.urlretrieve(lowercase__		,		lowercase__	)
  												urllib.request.urlretrieve(lowercase__		,		lowercase__	)
  						if not os.path.isfile(lowercase__	):
  												raise ValueError(f'''Train data not found at {mrpc_train_file}'''	)
  						if not os.path.isfile(lowercase__	):
  												raise ValueError(f'''Test data not found at {mrpc_test_file}'''	)
  						urllib.request.urlretrieve(TASKaPATH["""MRPC"""]		,		os.path.join(lowercase__		,		"""dev_ids.tsv"""	)	)
  
  						lowercase__							 =       []
  						with open(os.path.join(lowercase__		,		"""dev_ids.tsv"""	)		,		encoding="""utf8"""	) as ids_fh:
  												for row in ids_fh:
  																		dev_ids.append(row.strip().split("""\t"""	)	)
  
  						with open(lowercase__		,		encoding="""utf8"""	) as data_fh, open(
  						    os.path.join(lowercase__		,		"""train.tsv"""	)		,		"""w"""		,		encoding="""utf8"""	) as train_fh, open(os.path.join(lowercase__		,		"""dev.tsv"""	)		,		"""w"""		,		encoding="""utf8"""	) as dev_fh:
  												lowercase__							 =       data_fh.readline()
  												train_fh.write(lowercase__	)
  												dev_fh.write(lowercase__	)
  												for row in data_fh:
  																		lowercase__							 =       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(lowercase__		,		encoding="""utf8"""	) as data_fh, open(
  						    os.path.join(lowercase__		,		"""test.tsv"""	)		,		"""w"""		,		encoding="""utf8"""	) as test_fh:
  												lowercase__							 =       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(lowercase__	):
  																		lowercase__							 =       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		(							lowercase__	):
  						print("""Downloading and extracting diagnostic..."""	)
  						if not os.path.isdir(os.path.join(lowercase__		,		"""diagnostic"""	)	):
  												os.mkdir(os.path.join(lowercase__		,		"""diagnostic"""	)	)
  						lowercase__							 =       os.path.join(lowercase__		,		"""diagnostic"""		,		"""diagnostic.tsv"""	)
  						urllib.request.urlretrieve(TASKaPATH["""diagnostic"""]		,		lowercase__	)
  						print("""\tCompleted!"""	)
  						return
  
  
  
  
  
  def  _A		(							lowercase__	):
  						lowercase__							 =       task_names.split(""","""	)
  						if "all" in task_names:
  												lowercase__							 =       TASKS
  						else:
  												lowercase__							 =       []
  												for task_name in task_names:
  																		if task_name not in TASKS:
  																								raise ValueError(f'''Task {task_name} not found!'''	)
  																		tasks.append(lowercase__	)
  						return tasks
  
  
  
  
  
  def  _A		(							lowercase__	):
  						lowercase__							 =       argparse.ArgumentParser()
  						parser.add_argument("""--data_dir"""		,		help="""directory to save data to"""		,		type=lowercase__		,		default="""glue_data"""	)
  						parser.add_argument(
  						    """--tasks"""		,		help="""tasks to download data for as a comma separated string"""		,		type=lowercase__		,		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=lowercase__		,		default=""""""		,		)
  						lowercase__							 =       parser.parse_args(lowercase__	)
  
  						if not os.path.isdir(args.data_dir	):
  												os.mkdir(args.data_dir	)
  						lowercase__							 =       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(lowercase__		,		args.data_dir	)
  
  
  if __name__ == "__main__":
  			sys.exit(main(sys.argv[1:]))
  
  
  
  
  
  
  
style_context: 
  '''simple docstring'''
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  __A          =    {"configuration_detr": ["DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetrConfig", "DetrOnnxConfig"]}
  
  try:
  				if not is_vision_available():
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				pass
  else:
  				__A          =    ["DetrFeatureExtractor"]
  				__A          =    ["DetrImageProcessor"]
  
  try:
  				if not is_torch_available():
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				pass
  else:
  				__A          =    [
  				    "DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
  				    "DetrForObjectDetection",
  				    "DetrForSegmentation",
  				    "DetrModel",
  				    "DetrPreTrainedModel",
  				]
  
  
  if TYPE_CHECKING:
  				from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig
  
  				try:
  								if not is_vision_available():
  												raise OptionalDependencyNotAvailable()
  				except OptionalDependencyNotAvailable:
  								pass
  				else:
  								from .feature_extraction_detr import DetrFeatureExtractor
  								from .image_processing_detr import DetrImageProcessor
  
  				try:
  								if not is_torch_available():
  												raise OptionalDependencyNotAvailable()
  				except OptionalDependencyNotAvailable:
  								pass
  				else:
  								from .modeling_detr import (
  								    DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
  								    DetrForObjectDetection,
  								    DetrForSegmentation,
  								    DetrModel,
  								    DetrPreTrainedModel,
  								)
  
  else:
  				import sys
  
  				__A          =    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  
  
  
  
  
  
  