code: 
  
  
  
  
  """simple docstring"""
  
  
  
  import argparse
  import os
  import sys
  import urllib.request
  import zipfile
  
  
  SCREAMING_SNAKE_CASE       = ["CoLA", "SST", "MRPC", "QQP", "STS", "MNLI", "SNLI", "QNLI", "RTE", "WNLI", "diagnostic"]
  SCREAMING_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",
  }
  
  SCREAMING_SNAKE_CASE       = "https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"
  SCREAMING_SNAKE_CASE       = "https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"
  
  
  
  
  
  
  
  def 						_SCREAMING_SNAKE_CASE     (							lowercase_    ,				lowercase_		)		->	List[str]:
   print(f"""Downloading and extracting {task}..."""		)
   A__ =       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 						_SCREAMING_SNAKE_CASE     (							lowercase_    ,				lowercase_		)		->	Union[str, Any]:
   print("Processing MRPC..."		)
   A__ =       os.path.join(SCREAMING_SNAKE_CASE__    ,				"MRPC"		)
   if not os.path.isdir(SCREAMING_SNAKE_CASE__		):
    os.mkdir(SCREAMING_SNAKE_CASE__		)
   if path_to_data:
    A__ =       os.path.join(SCREAMING_SNAKE_CASE__    ,				"msr_paraphrase_train.txt"		)
    A__ =       os.path.join(SCREAMING_SNAKE_CASE__    ,				"msr_paraphrase_test.txt"		)
   else:
    print("Local MRPC data not specified, downloading data from %s" % MRPC_TRAIN		)
    A__ =       os.path.join(SCREAMING_SNAKE_CASE__    ,				"msr_paraphrase_train.txt"		)
    A__ =       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"		)		)
  
   A__ =       []
   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:
    A__ =       data_fh.readline()
    train_fh.write(SCREAMING_SNAKE_CASE__		)
    dev_fh.write(SCREAMING_SNAKE_CASE__		)
    for row in data_fh:
     A__ =       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:
    A__ =       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__		):
     A__ =       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 						_SCREAMING_SNAKE_CASE     (							lowercase_		)		->	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"		)		)
   A__ =       os.path.join(SCREAMING_SNAKE_CASE__    ,				"diagnostic"    ,				"diagnostic.tsv"		)
   urllib.request.urlretrieve(TASKaPATH["diagnostic"]    ,				SCREAMING_SNAKE_CASE__		)
   print("\tCompleted!"		)
   return
  
  
  
  
  
  
  
  def 						_SCREAMING_SNAKE_CASE     (							lowercase_		)		->	Any:
   A__ =       task_names.split(","		)
   if "all" in task_names:
    A__ =       TASKS
   else:
    A__ =       []
    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 						_SCREAMING_SNAKE_CASE     (							lowercase_		)		->	Optional[int]:
   A__ =       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=""    ,				)
   A__ =       parser.parse_args(SCREAMING_SNAKE_CASE__		)
  
   if not os.path.isdir(args.data_dir		):
    os.mkdir(args.data_dir		)
   A__ =       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:]))
  
  
  
  
  
  
style_context: 
  
  
  
  
  """simple docstring"""
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import _LazyModule
  
  
  SCREAMING_SNAKE_CASE       = {"tokenization_bert_japanese": ["BertJapaneseTokenizer", "CharacterTokenizer", "MecabTokenizer"]}
  
  
  if TYPE_CHECKING:
        from .tokenization_bert_japanese import BertJapaneseTokenizer, CharacterTokenizer, MecabTokenizer
  
  else:
        import sys
  
        SCREAMING_SNAKE_CASE       = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  
  
  
  
  
  