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 						UpperCAmelCase							(		lowerCAmelCase_    ,   lowerCAmelCase_							)						->						int:
     print(f"""Downloading and extracting {task}..."""							)
     a	:     str						      =    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 						UpperCAmelCase							(		lowerCAmelCase_    ,   lowerCAmelCase_							)						->						str:
     print('''Processing MRPC...'''							)
     a	:     List[str]						      =    os.path.join(lowerCAmelCase_    ,   '''MRPC'''							)
     if not os.path.isdir(lowerCAmelCase_							):
          os.mkdir(lowerCAmelCase_							)
     if path_to_data:
          a	:     List[Any]						      =    os.path.join(lowerCAmelCase_    ,   '''msr_paraphrase_train.txt'''							)
          a	:     Any						      =    os.path.join(lowerCAmelCase_    ,   '''msr_paraphrase_test.txt'''							)
     else:
          print('''Local MRPC data not specified, downloading data from %s''' % MRPC_TRAIN							)
          a	:     Optional[Any]						      =    os.path.join(lowerCAmelCase_    ,   '''msr_paraphrase_train.txt'''							)
          a	:     int						      =    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'''							)							)

     a	:     Optional[int]						      =    []
     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:
          a	:     str						      =    data_fh.readline()
          train_fh.write(lowerCAmelCase_							)
          dev_fh.write(lowerCAmelCase_							)
          for row in data_fh:
               a      ,				a      ,				a      ,				a      ,				a	:     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(lowerCAmelCase_    ,   encoding='''utf8'''							) as data_fh, open(
         os.path.join(lowerCAmelCase_    ,   '''test.tsv'''							)    ,   '''w'''    ,   encoding='''utf8'''							) as test_fh:
          a	:     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(lowerCAmelCase_							):
               a      ,				a      ,				a      ,				a      ,				a	:     List[str]						      =    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 						UpperCAmelCase							(		lowerCAmelCase_							)						->						Union[str, Any]:
     print('''Downloading and extracting diagnostic...'''							)
     if not os.path.isdir(os.path.join(lowerCAmelCase_    ,   '''diagnostic'''							)							):
          os.mkdir(os.path.join(lowerCAmelCase_    ,   '''diagnostic'''							)							)
     a	:     List[str]						      =    os.path.join(lowerCAmelCase_    ,   '''diagnostic'''    ,   '''diagnostic.tsv'''							)
     urllib.request.urlretrieve(TASKaPATH['''diagnostic''']    ,   lowerCAmelCase_							)
     print('''\tCompleted!'''							)
     return







def 						UpperCAmelCase							(		lowerCAmelCase_							)						->						str:
     a	:     Dict						      =    task_names.split(''','''							)
     if "all" in task_names:
          a	:     Optional[int]						      =    TASKS
     else:
          a	:     List[str]						      =    []
          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 						UpperCAmelCase							(		lowerCAmelCase_							)						->						Dict:
     a	:     List[Any]						      =    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=''''''    ,   )
     a	:     List[str]						      =    parser.parse_args(lowerCAmelCase_							)

     if not os.path.isdir(args.data_dir							):
          os.mkdir(args.data_dir							)
     a	:     Union[str, 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(lowerCAmelCase_    ,   args.data_dir							)


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

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


UpperCAmelCase				 =   {
    """configuration_gptsan_japanese""": ["""GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTSanJapaneseConfig"""],
    """tokenization_gptsan_japanese""": ["""GPTSanJapaneseTokenizer"""],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase				 =   [
      """GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """GPTSanJapaneseForConditionalGeneration""",
      """GPTSanJapaneseModel""",
      """GPTSanJapanesePreTrainedModel""",
  ]
  UpperCAmelCase				 =   [
      """GPTSanJapaneseTokenizer""",
  ]


if TYPE_CHECKING:
  from .configuration_gptsan_japanese import GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTSanJapaneseConfig
  from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_gptsan_japanese import (
        GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
        GPTSanJapaneseForConditionalGeneration,
        GPTSanJapaneseModel,
        GPTSanJapanesePreTrainedModel,
    )
    from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer


else:
  import sys

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