


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


__UpperCAmelCase      			=  ["""CoLA""", """SST""", """MRPC""", """QQP""", """STS""", """MNLI""", """SNLI""", """QNLI""", """RTE""", """WNLI""", """diagnostic"""]
__UpperCAmelCase      			=  {
    """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      			=  """https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"""
__UpperCAmelCase      			=  """https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"""
def 	_lowerCamelCase  (		A_  :	Optional[Any]							,  A_  :	str      )			->			Optional[Any]:

   '''simple docstring'''






   print(f'''Downloading and extracting {task}...'''      )
   UpperCamelCase__ :			Optional[int] 						=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 	_lowerCamelCase  (		A_  :	Dict							,  A_  :	Tuple      )			->			Optional[int]:

   '''simple docstring'''






   print("Processing MRPC..."      )
   UpperCamelCase__ :			Optional[Any] 						=os.path.join(A_							,  "MRPC"      )
   if not os.path.isdir(A_      ):
      os.mkdir(A_      )
   if path_to_data:
      UpperCamelCase__ :			Dict 						=os.path.join(A_							,  "msr_paraphrase_train.txt"      )
      UpperCamelCase__ :			Optional[int] 						=os.path.join(A_							,  "msr_paraphrase_test.txt"      )
   else:
      print("Local MRPC data not specified, downloading data from %s" % MRPC_TRAIN      )
      UpperCamelCase__ :			Optional[int] 						=os.path.join(A_							,  "msr_paraphrase_train.txt"      )
      UpperCamelCase__ :			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"      )      )

   UpperCamelCase__ :			List[str] 						=[]
   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:
      UpperCamelCase__ :			Dict 						=data_fh.readline()
      train_fh.write(A_      )
      dev_fh.write(A_      )
      for row in data_fh:
         UpperCamelCase__						,	UpperCamelCase__						,	UpperCamelCase__						,	UpperCamelCase__						,	UpperCamelCase__ :			Dict 						=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:
      UpperCamelCase__ :			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(A_      ):
         UpperCamelCase__						,	UpperCamelCase__						,	UpperCamelCase__						,	UpperCamelCase__						,	UpperCamelCase__ :			Union[str, 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 	_lowerCamelCase  (		A_  :	Union[str, Any]      )			->			Union[str, Any]:

   '''simple docstring'''






   print("Downloading and extracting diagnostic..."      )
   if not os.path.isdir(os.path.join(A_							,  "diagnostic"      )      ):
      os.mkdir(os.path.join(A_							,  "diagnostic"      )      )
   UpperCamelCase__ :			List[str] 						=os.path.join(A_							,  "diagnostic"							,  "diagnostic.tsv"      )
   urllib.request.urlretrieve(TASKaPATH["diagnostic"]							,  A_      )
   print("\tCompleted!"      )
   return
def 	_lowerCamelCase  (		A_  :	int      )			->			List[str]:

   '''simple docstring'''






   UpperCamelCase__ :			List[str] 						=task_names.split(","      )
   if "all" in task_names:
      UpperCamelCase__ :			List[str] 						=TASKS
   else:
      UpperCamelCase__ :			str 						=[]
      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 	_lowerCamelCase  (		A_  :	Dict      )			->			Dict:

   '''simple docstring'''






   UpperCamelCase__ :			Tuple 						=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=""							,  )
   UpperCamelCase__ :			str 						=parser.parse_args(A_      )

   if not os.path.isdir(args.data_dir      ):
      os.mkdir(args.data_dir      )
   UpperCamelCase__ :			Optional[Any] 						=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:]))





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCAmelCase      			=  {"""configuration_sew_d""": ["""SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SEWDConfig"""]}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __UpperCAmelCase      			=  [
         """SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """SEWDForCTC""",
         """SEWDForSequenceClassification""",
         """SEWDModel""",
         """SEWDPreTrainedModel""",
     ]

if TYPE_CHECKING:
     from .configuration_sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_sew_d import (
              SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST,
              SEWDForCTC,
              SEWDForSequenceClassification,
              SEWDModel,
              SEWDPreTrainedModel,
          )


else:
     import sys

     __UpperCAmelCase      			=  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

