

'''simple docstring'''
import argparse
import os
import sys
import urllib.request
import zipfile


_snake_case     						=						['CoLA', 'SST', 'MRPC', 'QQP', 'STS', 'MNLI', 'SNLI', 'QNLI', 'RTE', 'WNLI', 'diagnostic']
_snake_case     						=						{
    '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',
}

_snake_case     						=						'https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt'
_snake_case     						=						'https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt'







def       _A	(			snake_case	,							snake_case  )    ->			List[str]:
   print(F'''Downloading and extracting {task}...'''  )
   _lowercase    :   List[str]      =     F'''{task}.zip'''
   urllib.request.urlretrieve(TASKaPATH[task]	,							SCREAMING_SNAKE_CASE__  )
   with zipfile.ZipFile(SCREAMING_SNAKE_CASE__  ) as zip_ref:
      zip_ref.extractall(SCREAMING_SNAKE_CASE__  )
   os.remove(SCREAMING_SNAKE_CASE__  )
   print("\tCompleted!"  )







def       _A	(			snake_case	,							snake_case  )    ->			Union[str, Any]:
   print("Processing MRPC..."  )
   _lowercase    :   Optional[Any]      =     os.path.join(SCREAMING_SNAKE_CASE__	,							"MRPC"  )
   if not os.path.isdir(SCREAMING_SNAKE_CASE__  ):
      os.mkdir(SCREAMING_SNAKE_CASE__  )
   if path_to_data:
      _lowercase    :   int      =     os.path.join(SCREAMING_SNAKE_CASE__	,							"msr_paraphrase_train.txt"  )
      _lowercase    :   Tuple      =     os.path.join(SCREAMING_SNAKE_CASE__	,							"msr_paraphrase_test.txt"  )
   else:
      print("Local MRPC data not specified, downloading data from %s" % MRPC_TRAIN  )
      _lowercase    :   Optional[int]      =     os.path.join(SCREAMING_SNAKE_CASE__	,							"msr_paraphrase_train.txt"  )
      _lowercase    :   Dict      =     os.path.join(SCREAMING_SNAKE_CASE__	,							"msr_paraphrase_test.txt"  )
      urllib.request.urlretrieve(SCREAMING_SNAKE_CASE__	,							SCREAMING_SNAKE_CASE__  )
      urllib.request.urlretrieve(SCREAMING_SNAKE_CASE__	,							SCREAMING_SNAKE_CASE__  )
   if not os.path.isfile(SCREAMING_SNAKE_CASE__  ):
      raise ValueError(F'''Train data not found at {mrpc_train_file}'''  )
   if not os.path.isfile(SCREAMING_SNAKE_CASE__  ):
      raise ValueError(F'''Test data not found at {mrpc_test_file}'''  )
   urllib.request.urlretrieve(TASKaPATH["MRPC"]	,							os.path.join(SCREAMING_SNAKE_CASE__	,							"dev_ids.tsv"  )  )

   _lowercase    :   str      =     []
   with open(os.path.join(SCREAMING_SNAKE_CASE__	,							"dev_ids.tsv"  )	,							encoding="utf8"  ) as ids_fh:
      for row in ids_fh:
         dev_ids.append(row.strip().split("\t"  )  )

   with open(SCREAMING_SNAKE_CASE__	,							encoding="utf8"  ) as data_fh, open(
       os.path.join(SCREAMING_SNAKE_CASE__	,							"train.tsv"  )	,							"w"	,							encoding="utf8"  ) as train_fh, open(os.path.join(SCREAMING_SNAKE_CASE__	,							"dev.tsv"  )	,							"w"	,							encoding="utf8"  ) as dev_fh:
      _lowercase    :   str      =     data_fh.readline()
      train_fh.write(SCREAMING_SNAKE_CASE__  )
      dev_fh.write(SCREAMING_SNAKE_CASE__  )
      for row in data_fh:
         _lowercase    :   int      =     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(SCREAMING_SNAKE_CASE__	,							encoding="utf8"  ) as data_fh, open(
       os.path.join(SCREAMING_SNAKE_CASE__	,							"test.tsv"  )	,							"w"	,							encoding="utf8"  ) as test_fh:
      _lowercase    :   Tuple      =     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(SCREAMING_SNAKE_CASE__  ):
         _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       _A	(			snake_case  )    ->			Any:
   print("Downloading and extracting diagnostic..."  )
   if not os.path.isdir(os.path.join(SCREAMING_SNAKE_CASE__	,							"diagnostic"  )  ):
      os.mkdir(os.path.join(SCREAMING_SNAKE_CASE__	,							"diagnostic"  )  )
   _lowercase    :   Tuple      =     os.path.join(SCREAMING_SNAKE_CASE__	,							"diagnostic"	,							"diagnostic.tsv"  )
   urllib.request.urlretrieve(TASKaPATH["diagnostic"]	,							SCREAMING_SNAKE_CASE__  )
   print("\tCompleted!"  )
   return







def       _A	(			snake_case  )    ->			Any:
   _lowercase    :   Tuple      =     task_names.split(","  )
   if "all" in task_names:
      _lowercase    :   int      =     TASKS
   else:
      _lowercase    :   Any      =     []
      for task_name in task_names:
         if task_name not in TASKS:
            raise ValueError(F'''Task {task_name} not found!'''  )
         tasks.append(SCREAMING_SNAKE_CASE__  )
   return tasks







def       _A	(			snake_case  )    ->			Optional[int]:
   _lowercase    :   int      =     argparse.ArgumentParser()
   parser.add_argument("--data_dir"	,							help="directory to save data to"	,							type=SCREAMING_SNAKE_CASE__	,							default="glue_data"  )
   parser.add_argument(
       "--tasks"	,							help="tasks to download data for as a comma separated string"	,							type=SCREAMING_SNAKE_CASE__	,							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=SCREAMING_SNAKE_CASE__	,							default=""	,							)
   _lowercase    :   Optional[int]      =     parser.parse_args(SCREAMING_SNAKE_CASE__  )

   if not os.path.isdir(args.data_dir  ):
      os.mkdir(args.data_dir  )
   _lowercase    :   List[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(SCREAMING_SNAKE_CASE__	,							args.data_dir  )


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









'''simple docstring'''
def       _A	(			snake_case  )    ->			int:

   # validate:
   if not isinstance(snake_case	,							snake_case  ) or not all(
       isinstance(snake_case	,							snake_case  ) and item >= 0 for item in citations  ):
      raise ValueError("The citations should be a list of non negative integers."  )

   citations.sort()
   _lowercase    :   Tuple      =     len(snake_case  )

   for i in range(snake_case  ):
      if citations[len_citations - 1 - i] <= i:
         return i

   return len_citations


if __name__ == "__main__":
    import doctest

    doctest.testmod()






