




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


__A						:		Any          =						["CoLA", "SST", "MRPC", "QQP", "STS", "MNLI", "SNLI", "QNLI", "RTE", "WNLI", "diagnostic"]
__A						:		Tuple          =						{
    "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",
}

__A						:		str          =						"https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"
__A						:		Optional[int]          =						"https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"





def      UpperCAmelCase  (						UpperCamelCase__						,			UpperCamelCase__   )     ->     Any:







				'''simple docstring'''


				print(F'''Downloading and extracting {task}...'''   )
				__lowerCAmelCase					=  F'''{task}.zip'''
				urllib.request.urlretrieve(TASKaPATH[task]						,			UpperCamelCase__   )
				with zipfile.ZipFile(UpperCamelCase__   ) as zip_ref:
								zip_ref.extractall(UpperCamelCase__   )
				os.remove(UpperCamelCase__   )
				print("""\tCompleted!"""   )





def      UpperCAmelCase  (						UpperCamelCase__						,			UpperCamelCase__   )     ->     List[str]:







				'''simple docstring'''


				print("""Processing MRPC..."""   )
				__lowerCAmelCase					=  os.path.join(UpperCamelCase__						,			"""MRPC"""   )
				if not os.path.isdir(UpperCamelCase__   ):
								os.mkdir(UpperCamelCase__   )
				if path_to_data:
								__lowerCAmelCase					=  os.path.join(UpperCamelCase__						,			"""msr_paraphrase_train.txt"""   )
								__lowerCAmelCase					=  os.path.join(UpperCamelCase__						,			"""msr_paraphrase_test.txt"""   )
				else:
								print("""Local MRPC data not specified, downloading data from %s""" % MRPC_TRAIN   )
								__lowerCAmelCase					=  os.path.join(UpperCamelCase__						,			"""msr_paraphrase_train.txt"""   )
								__lowerCAmelCase					=  os.path.join(UpperCamelCase__						,			"""msr_paraphrase_test.txt"""   )
								urllib.request.urlretrieve(UpperCamelCase__						,			UpperCamelCase__   )
								urllib.request.urlretrieve(UpperCamelCase__						,			UpperCamelCase__   )
				if not os.path.isfile(UpperCamelCase__   ):
								raise ValueError(F'''Train data not found at {mrpc_train_file}'''   )
				if not os.path.isfile(UpperCamelCase__   ):
								raise ValueError(F'''Test data not found at {mrpc_test_file}'''   )
				urllib.request.urlretrieve(TASKaPATH["""MRPC"""]						,			os.path.join(UpperCamelCase__						,			"""dev_ids.tsv"""   )   )

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

				with open(UpperCamelCase__						,			encoding="""utf8"""   ) as data_fh, open(
				    os.path.join(UpperCamelCase__						,			"""train.tsv"""   )						,			"""w"""						,			encoding="""utf8"""   ) as train_fh, open(os.path.join(UpperCamelCase__						,			"""dev.tsv"""   )						,			"""w"""						,			encoding="""utf8"""   ) as dev_fh:
								__lowerCAmelCase					=  data_fh.readline()
								train_fh.write(UpperCamelCase__   )
								dev_fh.write(UpperCamelCase__   )
								for row in data_fh:
												__lowerCAmelCase	,				__lowerCAmelCase	,				__lowerCAmelCase	,				__lowerCAmelCase	,				__lowerCAmelCase					=  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(UpperCamelCase__						,			encoding="""utf8"""   ) as data_fh, open(
				    os.path.join(UpperCamelCase__						,			"""test.tsv"""   )						,			"""w"""						,			encoding="""utf8"""   ) as test_fh:
								__lowerCAmelCase					=  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(UpperCamelCase__   ):
												__lowerCAmelCase	,				__lowerCAmelCase	,				__lowerCAmelCase	,				__lowerCAmelCase	,				__lowerCAmelCase					=  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  (						UpperCamelCase__   )     ->     Dict:







				'''simple docstring'''


				print("""Downloading and extracting diagnostic..."""   )
				if not os.path.isdir(os.path.join(UpperCamelCase__						,			"""diagnostic"""   )   ):
								os.mkdir(os.path.join(UpperCamelCase__						,			"""diagnostic"""   )   )
				__lowerCAmelCase					=  os.path.join(UpperCamelCase__						,			"""diagnostic"""						,			"""diagnostic.tsv"""   )
				urllib.request.urlretrieve(TASKaPATH["""diagnostic"""]						,			UpperCamelCase__   )
				print("""\tCompleted!"""   )
				return





def      UpperCAmelCase  (						UpperCamelCase__   )     ->     Optional[int]:







				'''simple docstring'''


				__lowerCAmelCase					=  task_names.split(""","""   )
				if "all" in task_names:
								__lowerCAmelCase					=  TASKS
				else:
								__lowerCAmelCase					=  []
								for task_name in task_names:
												if task_name not in TASKS:
																raise ValueError(F'''Task {task_name} not found!'''   )
												tasks.append(UpperCamelCase__   )
				return tasks





def      UpperCAmelCase  (						UpperCamelCase__   )     ->     str:







				'''simple docstring'''


				__lowerCAmelCase					=  argparse.ArgumentParser()
				parser.add_argument("""--data_dir"""						,			help="""directory to save data to"""						,			type=UpperCamelCase__						,			default="""glue_data"""   )
				parser.add_argument(
				    """--tasks"""						,			help="""tasks to download data for as a comma separated string"""						,			type=UpperCamelCase__						,			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=UpperCamelCase__						,			default=""""""						,			)
				__lowerCAmelCase					=  parser.parse_args(UpperCamelCase__   )

				if not os.path.isdir(args.data_dir   ):
								os.mkdir(args.data_dir   )
				__lowerCAmelCase					=  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(UpperCamelCase__						,			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_tokenizers_available,
    is_torch_available,
)


__UpperCAmelCase     :Union[str, Any]												=  {
    "configuration_mpnet": ["MPNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "MPNetConfig"],
    "tokenization_mpnet": ["MPNetTokenizer"],
}

try:
      if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase     :Optional[int]												=  ["MPNetTokenizerFast"]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase     :Union[str, Any]												=  [
          "MPNET_PRETRAINED_MODEL_ARCHIVE_LIST",
          "MPNetForMaskedLM",
          "MPNetForMultipleChoice",
          "MPNetForQuestionAnswering",
          "MPNetForSequenceClassification",
          "MPNetForTokenClassification",
          "MPNetLayer",
          "MPNetModel",
          "MPNetPreTrainedModel",
      ]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase     :Any												=  [
          "TF_MPNET_PRETRAINED_MODEL_ARCHIVE_LIST",
          "TFMPNetEmbeddings",
          "TFMPNetForMaskedLM",
          "TFMPNetForMultipleChoice",
          "TFMPNetForQuestionAnswering",
          "TFMPNetForSequenceClassification",
          "TFMPNetForTokenClassification",
          "TFMPNetMainLayer",
          "TFMPNetModel",
          "TFMPNetPreTrainedModel",
      ]


if TYPE_CHECKING:
      from .configuration_mpnet import MPNET_PRETRAINED_CONFIG_ARCHIVE_MAP, MPNetConfig
      from .tokenization_mpnet import MPNetTokenizer

      try:
            if not is_tokenizers_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_mpnet_fast import MPNetTokenizerFast

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_mpnet import (
                MPNET_PRETRAINED_MODEL_ARCHIVE_LIST,
                MPNetForMaskedLM,
                MPNetForMultipleChoice,
                MPNetForQuestionAnswering,
                MPNetForSequenceClassification,
                MPNetForTokenClassification,
                MPNetLayer,
                MPNetModel,
                MPNetPreTrainedModel,
            )

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_mpnet import (
                TF_MPNET_PRETRAINED_MODEL_ARCHIVE_LIST,
                TFMPNetEmbeddings,
                TFMPNetForMaskedLM,
                TFMPNetForMultipleChoice,
                TFMPNetForQuestionAnswering,
                TFMPNetForSequenceClassification,
                TFMPNetForTokenClassification,
                TFMPNetMainLayer,
                TFMPNetModel,
                TFMPNetPreTrainedModel,
            )

else:
      import sys

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