code: 
  '''simple docstring'''
  
  import argparse
  import os
  import sys
  import urllib.request
  import zipfile
  
  
  _UpperCAmelCase   :      Dict 						=  ["""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   :      Dict 						=  """https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"""
  _UpperCAmelCase   :      Tuple 						=  """https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"""
  
  
  
  
  
  
  
  def 						snake_case__	(      UpperCamelCase			,UpperCamelCase	) ->      Optional[int]:
  		print(f'''Downloading and extracting {task}...'''	)
  		_UpperCamelCase       : Dict    =      f'''{task}.zip'''
  		urllib.request.urlretrieve(TASKaPATH[task]			,UpperCamelCase	)
  		with zipfile.ZipFile(UpperCamelCase	) as zip_ref:
  				zip_ref.extractall(UpperCamelCase	)
  		os.remove(UpperCamelCase	)
  		print('''\tCompleted!'''	)
  
  
  
  
  
  
  
  def 						snake_case__	(      UpperCamelCase			,UpperCamelCase	) ->      Any:
  		print('''Processing MRPC...'''	)
  		_UpperCamelCase       : Any    =      os.path.join(UpperCamelCase			,'''MRPC'''	)
  		if not os.path.isdir(UpperCamelCase	):
  				os.mkdir(UpperCamelCase	)
  		if path_to_data:
  				_UpperCamelCase       : str    =      os.path.join(UpperCamelCase			,'''msr_paraphrase_train.txt'''	)
  				_UpperCamelCase       : List[str]    =      os.path.join(UpperCamelCase			,'''msr_paraphrase_test.txt'''	)
  		else:
  				print('''Local MRPC data not specified, downloading data from %s''' % MRPC_TRAIN	)
  				_UpperCamelCase       : List[str]    =      os.path.join(UpperCamelCase			,'''msr_paraphrase_train.txt'''	)
  				_UpperCamelCase       : Dict    =      os.path.join(UpperCamelCase			,'''msr_paraphrase_test.txt'''	)
  				urllib.request.urlretrieve(UpperCamelCase			,UpperCamelCase	)
  				urllib.request.urlretrieve(UpperCamelCase			,UpperCamelCase	)
  		if not os.path.isfile(UpperCamelCase	):
  				raise ValueError(f'''Train data not found at {mrpc_train_file}'''	)
  		if not os.path.isfile(UpperCamelCase	):
  				raise ValueError(f'''Test data not found at {mrpc_test_file}'''	)
  		urllib.request.urlretrieve(TASKaPATH['''MRPC''']			,os.path.join(UpperCamelCase			,'''dev_ids.tsv'''	)	)
  
  		_UpperCamelCase       : Dict    =      []
  		with open(os.path.join(UpperCamelCase			,'''dev_ids.tsv'''	)			,encoding='''utf8'''	) as ids_fh:
  				for row in ids_fh:
  						dev_ids.append(row.strip().split('''\t'''	)	)
  
  		with open(UpperCamelCase			,encoding='''utf8'''	) as data_fh, open(
  		    os.path.join(UpperCamelCase			,'''train.tsv'''	)			,'''w'''			,encoding='''utf8'''	) as train_fh, open(os.path.join(UpperCamelCase			,'''dev.tsv'''	)			,'''w'''			,encoding='''utf8'''	) as dev_fh:
  				_UpperCamelCase       : List[str]    =      data_fh.readline()
  				train_fh.write(UpperCamelCase	)
  				dev_fh.write(UpperCamelCase	)
  				for row in data_fh:
  						_UpperCamelCase,							_UpperCamelCase,							_UpperCamelCase,							_UpperCamelCase,							_UpperCamelCase       : Optional[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(UpperCamelCase			,encoding='''utf8'''	) as data_fh, open(
  		    os.path.join(UpperCamelCase			,'''test.tsv'''	)			,'''w'''			,encoding='''utf8'''	) as test_fh:
  				_UpperCamelCase       : 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(UpperCamelCase	):
  						_UpperCamelCase,							_UpperCamelCase,							_UpperCamelCase,							_UpperCamelCase,							_UpperCamelCase       : Optional[int]    =      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 						snake_case__	(      UpperCamelCase	) ->      Tuple:
  		print('''Downloading and extracting diagnostic...'''	)
  		if not os.path.isdir(os.path.join(UpperCamelCase			,'''diagnostic'''	)	):
  				os.mkdir(os.path.join(UpperCamelCase			,'''diagnostic'''	)	)
  		_UpperCamelCase       : List[str]    =      os.path.join(UpperCamelCase			,'''diagnostic'''			,'''diagnostic.tsv'''	)
  		urllib.request.urlretrieve(TASKaPATH['''diagnostic''']			,UpperCamelCase	)
  		print('''\tCompleted!'''	)
  		return
  
  
  
  
  
  
  
  def 						snake_case__	(      UpperCamelCase	) ->      List[str]:
  		_UpperCamelCase       : str    =      task_names.split(''','''	)
  		if "all" in task_names:
  				_UpperCamelCase       : str    =      TASKS
  		else:
  				_UpperCamelCase       : int    =      []
  				for task_name in task_names:
  						if task_name not in TASKS:
  								raise ValueError(f'''Task {task_name} not found!'''	)
  						tasks.append(UpperCamelCase	)
  		return tasks
  
  
  
  
  
  
  
  def 						snake_case__	(      UpperCamelCase	) ->      Optional[Any]:
  		_UpperCamelCase       : int    =      argparse.ArgumentParser()
  		parser.add_argument('''--data_dir'''			,help='''directory to save data to'''			,type=UpperCamelCase			,default='''glue_data'''	)
  		parser.add_argument(
  		    '''--tasks'''			,help='''tasks to download data for as a comma separated string'''			,type=UpperCamelCase			,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=UpperCamelCase			,default=''''''			,)
  		_UpperCamelCase       : List[Any]    =      parser.parse_args(UpperCamelCase	)
  
  		if not os.path.isdir(args.data_dir	):
  				os.mkdir(args.data_dir	)
  		_UpperCamelCase       : int    =      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(UpperCamelCase			,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_flax_available,
      is_tf_available,
      is_torch_available,
  )
  
  
  _UpperCAmelCase   :      int 						=  {
      """configuration_gptsan_japanese""": ["""GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTSanJapaneseConfig"""],
      """tokenization_gptsan_japanese""": ["""GPTSanJapaneseTokenizer"""],
  }
  
  try:
  	if not is_torch_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	_UpperCAmelCase   :      int 						=  [
  	    """GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST""",
  	    """GPTSanJapaneseForConditionalGeneration""",
  	    """GPTSanJapaneseModel""",
  	    """GPTSanJapanesePreTrainedModel""",
  	]
  	_UpperCAmelCase   :      str 						=  [
  	    """GPTSanJapaneseTokenizer""",
  	]
  
  
  if TYPE_CHECKING:
  	from .configuration_gptsan_japanese import GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTSanJapaneseConfig
  	from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer
  
  	try:
  		if not is_torch_available():
  			raise OptionalDependencyNotAvailable()
  	except OptionalDependencyNotAvailable:
  		pass
  	else:
  		from .modeling_gptsan_japanese import (
  		    GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
  		    GPTSanJapaneseForConditionalGeneration,
  		    GPTSanJapaneseModel,
  		    GPTSanJapanesePreTrainedModel,
  		)
  		from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer
  
  
  else:
  	import sys
  
  	_UpperCAmelCase   :      List[str] 						=  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
  
  
  
  
  
  