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 			__lowercase	(						_UpperCamelCase,    _UpperCamelCase     )    ->int:
  
  
  
  
  
  
  
        """simple docstring"""
  
        print(f"""Downloading and extracting {task}..."""     )
        lowercase			:   List[str]					   =		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 			__lowercase	(						_UpperCamelCase,    _UpperCamelCase     )    ->Dict:
  
  
  
  
  
  
  
        """simple docstring"""
  
        print('''Processing MRPC...'''     )
        lowercase			:   Optional[int]					   =		os.path.join(_UpperCamelCase,    '''MRPC'''     )
        if not os.path.isdir(_UpperCamelCase     ):
              os.mkdir(_UpperCamelCase     )
        if path_to_data:
              lowercase			:   Optional[int]					   =		os.path.join(_UpperCamelCase,    '''msr_paraphrase_train.txt'''     )
              lowercase			:   List[Any]					   =		os.path.join(_UpperCamelCase,    '''msr_paraphrase_test.txt'''     )
        else:
              print('''Local MRPC data not specified, downloading data from %s''' % MRPC_TRAIN     )
              lowercase			:   int					   =		os.path.join(_UpperCamelCase,    '''msr_paraphrase_train.txt'''     )
              lowercase			:   str					   =		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'''     )     )
  
        lowercase			:   Any					   =		[]
        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:
              lowercase			:   Tuple					   =		data_fh.readline()
              train_fh.write(_UpperCamelCase     )
              dev_fh.write(_UpperCamelCase     )
              for row in data_fh:
                    lowercase			:   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(_UpperCamelCase,    encoding='''utf8'''     ) as data_fh, open(
            os.path.join(_UpperCamelCase,    '''test.tsv'''     ),    '''w''',    encoding='''utf8'''     ) as test_fh:
              lowercase			:   List[Any]					   =		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     ):
                    lowercase			:   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 			__lowercase	(						_UpperCamelCase     )    ->Optional[Any]:
  
  
  
  
  
  
  
        """simple docstring"""
  
        print('''Downloading and extracting diagnostic...'''     )
        if not os.path.isdir(os.path.join(_UpperCamelCase,    '''diagnostic'''     )     ):
              os.mkdir(os.path.join(_UpperCamelCase,    '''diagnostic'''     )     )
        lowercase			:   str					   =		os.path.join(_UpperCamelCase,    '''diagnostic''',    '''diagnostic.tsv'''     )
        urllib.request.urlretrieve(TASKaPATH['''diagnostic'''],    _UpperCamelCase     )
        print('''\tCompleted!'''     )
        return
  
  
  
  
  def 			__lowercase	(						_UpperCamelCase     )    ->List[Any]:
  
  
  
  
  
  
  
        """simple docstring"""
  
        lowercase			:   Dict					   =		task_names.split(''','''     )
        if "all" in task_names:
              lowercase			:   Any					   =		TASKS
        else:
              lowercase			:   List[str]					   =		[]
              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 			__lowercase	(						_UpperCamelCase     )    ->int:
  
  
  
  
  
  
  
        """simple docstring"""
  
        lowercase			:   List[str]					   =		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='''''',    )
        lowercase			:   Optional[Any]					   =		parser.parse_args(_UpperCamelCase     )
  
        if not os.path.isdir(args.data_dir     ):
              os.mkdir(args.data_dir     )
        lowercase			:   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(_UpperCamelCase,    args.data_dir     )
  
  
  if __name__ == "__main__":
    sys.exit(main(sys.argv[1:]))
  
  
style_context: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
  
  
  __a   				=      {'''configuration_yoso''': ['''YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''YosoConfig''']}
  
  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    __a   				=      [
        '''YOSO_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''YosoForMaskedLM''',
        '''YosoForMultipleChoice''',
        '''YosoForQuestionAnswering''',
        '''YosoForSequenceClassification''',
        '''YosoForTokenClassification''',
        '''YosoLayer''',
        '''YosoModel''',
        '''YosoPreTrainedModel''',
    ]
  
  
  if TYPE_CHECKING:
    from .configuration_yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig
  
    try:
      if not is_torch_available():
        raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
      pass
    else:
      from .modeling_yoso import (
          YOSO_PRETRAINED_MODEL_ARCHIVE_LIST,
          YosoForMaskedLM,
          YosoForMultipleChoice,
          YosoForQuestionAnswering,
          YosoForSequenceClassification,
          YosoForTokenClassification,
          YosoLayer,
          YosoModel,
          YosoPreTrainedModel,
      )
  
  
  else:
    import sys
  
    __a   				=      _LazyModule(__name__, globals()['''__file__'''], _import_structure)
  
  