




import argparse
import os
import sys
import urllib.request
import zipfile


__SCREAMING_SNAKE_CASE      :				Optional[Any]				      =["""CoLA""", """SST""", """MRPC""", """QQP""", """STS""", """MNLI""", """SNLI""", """QNLI""", """RTE""", """WNLI""", """diagnostic"""]
__SCREAMING_SNAKE_CASE      :				Optional[Any]				      ={
    """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""",
}

__SCREAMING_SNAKE_CASE      :				Optional[int]				      ="""https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"""
__SCREAMING_SNAKE_CASE      :				Any				      ="""https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"""

def      lowerCAmelCase_     (					lowerCamelCase:    Tuple       ,			lowerCamelCase:    Optional[int]  )   ->     List[Any]:


 '''simple docstring'''




 print(f"""Downloading and extracting {task}..."""  )
 lowerCamelCase__ 					=			f"""{task}.zip"""
 urllib.request.urlretrieve(TASKaPATH[task]       ,			lowerCamelCase  )
 with zipfile.ZipFile(lowerCamelCase  ) as zip_ref:
  zip_ref.extractall(lowerCamelCase  )
 os.remove(lowerCamelCase  )
 print('\tCompleted!'  )

def      lowerCAmelCase_     (					lowerCamelCase:    Union[str, Any]       ,			lowerCamelCase:    List[str]  )   ->     Any:


 '''simple docstring'''




 print('Processing MRPC...'  )
 lowerCamelCase__ 					=			os.path.join(lowerCamelCase       ,			'MRPC'  )
 if not os.path.isdir(lowerCamelCase  ):
  os.mkdir(lowerCamelCase  )
 if path_to_data:
  lowerCamelCase__ 					=			os.path.join(lowerCamelCase       ,			'msr_paraphrase_train.txt'  )
  lowerCamelCase__ 					=			os.path.join(lowerCamelCase       ,			'msr_paraphrase_test.txt'  )
 else:
  print('Local MRPC data not specified, downloading data from %s' % MRPC_TRAIN  )
  lowerCamelCase__ 					=			os.path.join(lowerCamelCase       ,			'msr_paraphrase_train.txt'  )
  lowerCamelCase__ 					=			os.path.join(lowerCamelCase       ,			'msr_paraphrase_test.txt'  )
  urllib.request.urlretrieve(lowerCamelCase       ,			lowerCamelCase  )
  urllib.request.urlretrieve(lowerCamelCase       ,			lowerCamelCase  )
 if not os.path.isfile(lowerCamelCase  ):
  raise ValueError(f"""Train data not found at {mrpc_train_file}"""  )
 if not os.path.isfile(lowerCamelCase  ):
  raise ValueError(f"""Test data not found at {mrpc_test_file}"""  )
 urllib.request.urlretrieve(TASKaPATH['MRPC']       ,			os.path.join(lowerCamelCase       ,			'dev_ids.tsv'  )  )

 lowerCamelCase__ 					=			[]
 with open(os.path.join(lowerCamelCase       ,			'dev_ids.tsv'  )       ,			encoding='utf8'  ) as ids_fh:
  for row in ids_fh:
   dev_ids.append(row.strip().split('\t'  )  )

 with open(lowerCamelCase       ,			encoding='utf8'  ) as data_fh, open(
     os.path.join(lowerCamelCase       ,			'train.tsv'  )       ,			'w'       ,			encoding='utf8'  ) as train_fh, open(os.path.join(lowerCamelCase       ,			'dev.tsv'  )       ,			'w'       ,			encoding='utf8'  ) as dev_fh:
  lowerCamelCase__ 					=			data_fh.readline()
  train_fh.write(lowerCamelCase  )
  dev_fh.write(lowerCamelCase  )
  for row in data_fh:
   lowerCamelCase__ 					=			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(lowerCamelCase       ,			encoding='utf8'  ) as data_fh, open(
     os.path.join(lowerCamelCase       ,			'test.tsv'  )       ,			'w'       ,			encoding='utf8'  ) as test_fh:
  lowerCamelCase__ 					=			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(lowerCamelCase  ):
   lowerCamelCase__ 					=			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      lowerCAmelCase_     (					lowerCamelCase:    Optional[int]  )   ->     int:


 '''simple docstring'''




 print('Downloading and extracting diagnostic...'  )
 if not os.path.isdir(os.path.join(lowerCamelCase       ,			'diagnostic'  )  ):
  os.mkdir(os.path.join(lowerCamelCase       ,			'diagnostic'  )  )
 lowerCamelCase__ 					=			os.path.join(lowerCamelCase       ,			'diagnostic'       ,			'diagnostic.tsv'  )
 urllib.request.urlretrieve(TASKaPATH['diagnostic']       ,			lowerCamelCase  )
 print('\tCompleted!'  )
 return

def      lowerCAmelCase_     (					lowerCamelCase:    Optional[int]  )   ->     Tuple:


 '''simple docstring'''




 lowerCamelCase__ 					=			task_names.split(','  )
 if "all" in task_names:
  lowerCamelCase__ 					=			TASKS
 else:
  lowerCamelCase__ 					=			[]
  for task_name in task_names:
   if task_name not in TASKS:
    raise ValueError(f"""Task {task_name} not found!"""  )
   tasks.append(lowerCamelCase  )
 return tasks

def      lowerCAmelCase_     (					lowerCamelCase:    int  )   ->     Tuple:


 '''simple docstring'''




 lowerCamelCase__ 					=			argparse.ArgumentParser()
 parser.add_argument('--data_dir'       ,			help='directory to save data to'       ,			type=lowerCamelCase       ,			default='glue_data'  )
 parser.add_argument(
     '--tasks'       ,			help='tasks to download data for as a comma separated string'       ,			type=lowerCamelCase       ,			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=lowerCamelCase       ,			default=''       ,			)
 lowerCamelCase__ 					=			parser.parse_args(lowerCamelCase  )

 if not os.path.isdir(args.data_dir  ):
  os.mkdir(args.data_dir  )
 lowerCamelCase__ 					=			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(lowerCamelCase       ,			args.data_dir  )


if __name__ == "__main__":
      sys.exit(main(sys.argv[1:]))





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__SCREAMING_SNAKE_CASE      :				int				      ={"""configuration_nat""": ["""NAT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """NatConfig"""]}


try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __SCREAMING_SNAKE_CASE      :				Optional[int]				      =[
          """NAT_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """NatForImageClassification""",
          """NatModel""",
          """NatPreTrainedModel""",
          """NatBackbone""",
      ]

if TYPE_CHECKING:
      from .configuration_nat import NAT_PRETRAINED_CONFIG_ARCHIVE_MAP, NatConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_nat import (
                NAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                NatBackbone,
                NatForImageClassification,
                NatModel,
                NatPreTrainedModel,
            )

else:
      import sys

      __SCREAMING_SNAKE_CASE      :				Any				      =_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)