'''simple docstring'''

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


__snake_case       :   Tuple  		=    ['''CoLA''', '''SST''', '''MRPC''', '''QQP''', '''STS''', '''MNLI''', '''SNLI''', '''QNLI''', '''RTE''', '''WNLI''', '''diagnostic''']
__snake_case       :   str  		=    {
    '''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       :   Any  		=    '''https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt'''
__snake_case       :   Tuple  		=    '''https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt'''



def lowerCamelCase__						(       A_       ,			A_       ):
 print(F"""Downloading and extracting {task}..."""       )
 UpperCAmelCase_				       =					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_       ,			A_       ):
 print("Processing MRPC..."       )
 UpperCAmelCase_				       =					os.path.join(A_       ,			"MRPC"       )
 if not os.path.isdir(A_       ):
  os.mkdir(A_       )
 if path_to_data:
  UpperCAmelCase_				       =					os.path.join(A_       ,			"msr_paraphrase_train.txt"       )
  UpperCAmelCase_				       =					os.path.join(A_       ,			"msr_paraphrase_test.txt"       )
 else:
  print("Local MRPC data not specified, downloading data from %s" % MRPC_TRAIN       )
  UpperCAmelCase_				       =					os.path.join(A_       ,			"msr_paraphrase_train.txt"       )
  UpperCAmelCase_				       =					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_				       =					[]
 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_				       =					data_fh.readline()
  train_fh.write(A_       )
  dev_fh.write(A_       )
  for row in data_fh:
   UpperCAmelCase_       ,       UpperCAmelCase_       ,       UpperCAmelCase_       ,       UpperCAmelCase_       ,       UpperCAmelCase_				       =					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_				       =					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_				       =					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_       ):
 print("Downloading and extracting diagnostic..."       )
 if not os.path.isdir(os.path.join(A_       ,			"diagnostic"       )       ):
  os.mkdir(os.path.join(A_       ,			"diagnostic"       )       )
 UpperCAmelCase_				       =					os.path.join(A_       ,			"diagnostic"       ,			"diagnostic.tsv"       )
 urllib.request.urlretrieve(TASKaPATH["diagnostic"]       ,			A_       )
 print("\tCompleted!"       )
 return



def lowerCamelCase__						(       A_       ):
 UpperCAmelCase_				       =					task_names.split(","       )
 if "all" in task_names:
  UpperCAmelCase_				       =					TASKS
 else:
  UpperCAmelCase_				       =					[]
  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_       ):
 UpperCAmelCase_				       =					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_				       =					parser.parse_args(A_       )

 if not os.path.isdir(args.data_dir       ):
  os.mkdir(args.data_dir       )
 UpperCAmelCase_				       =					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:]))

'''simple docstring'''

from typing import TYPE_CHECKING

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


__snake_case       :   Optional[int]  		=    {
    '''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:
      __snake_case       :   List[Any]  		=    [
          '''GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''GPTSanJapaneseForConditionalGeneration''',
          '''GPTSanJapaneseModel''',
          '''GPTSanJapanesePreTrainedModel''',
      ]
      __snake_case       :   Optional[int]  		=    [
          '''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

      __snake_case       :   Tuple  		=    _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
