


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 (		A__		,		A__			):
     print(f'Downloading and extracting {task}...'			)
     UpperCAmelCase    :					str			=      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 	A (		A__		,		A__			):
     print("Processing MRPC..."			)
     UpperCAmelCase    :					List[Any]			=      os.path.join(A__		,		"MRPC"			)
     if not os.path.isdir(A__			):
          os.mkdir(A__			)
     if path_to_data:
          UpperCAmelCase    :					Dict			=      os.path.join(A__		,		"msr_paraphrase_train.txt"			)
          UpperCAmelCase    :					Optional[Any]			=      os.path.join(A__		,		"msr_paraphrase_test.txt"			)
     else:
          print("Local MRPC data not specified, downloading data from %s" % MRPC_TRAIN			)
          UpperCAmelCase    :					Dict			=      os.path.join(A__		,		"msr_paraphrase_train.txt"			)
          UpperCAmelCase    :					List[str]			=      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    :					Union[str, Any]			=      []
     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    :					Tuple			=      data_fh.readline()
          train_fh.write(A__			)
          dev_fh.write(A__			)
          for row in data_fh:
               UpperCAmelCase	,			UpperCAmelCase	,			UpperCAmelCase	,			UpperCAmelCase	,			UpperCAmelCase    :					List[str]			=      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    :					List[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(A__			):
               UpperCAmelCase	,			UpperCAmelCase	,			UpperCAmelCase	,			UpperCAmelCase	,			UpperCAmelCase    :					List[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 (		A__			):
     print("Downloading and extracting diagnostic..."			)
     if not os.path.isdir(os.path.join(A__		,		"diagnostic"			)			):
          os.mkdir(os.path.join(A__		,		"diagnostic"			)			)
     UpperCAmelCase    :					Any			=      os.path.join(A__		,		"diagnostic"		,		"diagnostic.tsv"			)
     urllib.request.urlretrieve(TASKaPATH["diagnostic"]		,		A__			)
     print("\tCompleted!"			)
     return







def 	A (		A__			):
     UpperCAmelCase    :					Dict			=      task_names.split(","			)
     if "all" in task_names:
          UpperCAmelCase    :					str			=      TASKS
     else:
          UpperCAmelCase    :					str			=      []
          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 	A (		A__			):
     UpperCAmelCase    :					str			=      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    :					Tuple			=      parser.parse_args(A__			)

     if not os.path.isdir(args.data_dir			):
          os.mkdir(args.data_dir			)
     UpperCAmelCase    :					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(A__		,		args.data_dir			)


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







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


_snake_case				=			{
    "configuration_nystromformer": ["NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "NystromformerConfig"],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _snake_case				=			[
          "NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
          "NystromformerForMaskedLM",
          "NystromformerForMultipleChoice",
          "NystromformerForQuestionAnswering",
          "NystromformerForSequenceClassification",
          "NystromformerForTokenClassification",
          "NystromformerLayer",
          "NystromformerModel",
          "NystromformerPreTrainedModel",
      ]


if TYPE_CHECKING:
      from .configuration_nystromformer import NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, NystromformerConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_nystromformer import (
                NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                NystromformerForMaskedLM,
                NystromformerForMultipleChoice,
                NystromformerForQuestionAnswering,
                NystromformerForSequenceClassification,
                NystromformerForTokenClassification,
                NystromformerLayer,
                NystromformerModel,
                NystromformerPreTrainedModel,
            )


else:
      import sys

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



