






"""simple docstring"""



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


_lowerCAmelCase  :  Dict  							=			["""CoLA""", """SST""", """MRPC""", """QQP""", """STS""", """MNLI""", """SNLI""", """QNLI""", """RTE""", """WNLI""", """diagnostic"""]
_lowerCAmelCase  :  Dict  							=			{
    """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""",
}

_lowerCAmelCase  :  Dict  							=			"""https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"""
_lowerCAmelCase  :  Tuple  							=			"""https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"""


def   SCREAMING_SNAKE_CASE__					(     snake_case					:   Dict ,				snake_case					:   Optional[int]							)->		Optional[int]:






     '''simple docstring'''



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


def   SCREAMING_SNAKE_CASE__					(     snake_case					:   Optional[Any] ,				snake_case					:   Union[str, Any]							)->		Any:






     '''simple docstring'''



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

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

     with open(snake_case ,				encoding="utf8"							) as data_fh, open(
         os.path.join(snake_case ,				"train.tsv"							) ,				"w" ,				encoding="utf8"							) as train_fh, open(os.path.join(snake_case ,				"dev.tsv"							) ,				"w" ,				encoding="utf8"							) as dev_fh:
          UpperCAmelCase__	:						List[str]       =       data_fh.readline()
          train_fh.write(snake_case							)
          dev_fh.write(snake_case							)
          for row in data_fh:
               UpperCAmelCase__	:						Optional[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(snake_case ,				encoding="utf8"							) as data_fh, open(
         os.path.join(snake_case ,				"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(snake_case							):
               UpperCAmelCase__	:						Optional[int]       =       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__					(     snake_case					:   int							)->		Tuple:






     '''simple docstring'''



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


def   SCREAMING_SNAKE_CASE__					(     snake_case					:   Any							)->		List[str]:






     '''simple docstring'''



     UpperCAmelCase__	:						str       =       task_names.split(","							)
     if "all" in task_names:
          UpperCAmelCase__	:						str       =       TASKS
     else:
          UpperCAmelCase__	:						int       =       []
          for task_name in task_names:
               if task_name not in TASKS:
                    raise ValueError(f'Task {task_name} not found!'							)
               tasks.append(snake_case							)
     return tasks


def   SCREAMING_SNAKE_CASE__					(     snake_case					:   Optional[int]							)->		Optional[Any]:






     '''simple docstring'''



     UpperCAmelCase__	:						int       =       argparse.ArgumentParser()
     parser.add_argument("--data_dir" ,				help="directory to save data to" ,				type=snake_case ,				default="glue_data"							)
     parser.add_argument(
         "--tasks" ,				help="tasks to download data for as a comma separated string" ,				type=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=snake_case ,				default="" ,				)
     UpperCAmelCase__	:						List[Any]       =       parser.parse_args(snake_case							)

     if not os.path.isdir(args.data_dir							):
          os.mkdir(args.data_dir							)
     UpperCAmelCase__	:						int       =       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(snake_case ,				args.data_dir							)


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










"""simple docstring"""



# Lint as: python3

import hashlib
from typing import Union


def   SCREAMING_SNAKE_CASE__					(     snake_case					:   Union[str, int, bytes]							)->		bytes:






     '''simple docstring'''



     if isinstance(snake_case ,				snake_case							):
          # Data already in bytes, returns as it as
          return hash_data
     elif isinstance(snake_case ,				snake_case							):
          # We keep the data as it as for it ot be later encoded to UTF-8
          # However replace `\\` with `/` for Windows compatibility
          UpperCAmelCase__	:						Union[str, Any]       =       hash_data.replace("\\" ,				"/"							)
     elif isinstance(snake_case ,				snake_case							):
          UpperCAmelCase__	:						int       =       str(snake_case							)
     else:
          # If data is not of the required type, raise error
          raise InvalidKeyError(snake_case							)

     return hash_data.encode("utf-8"							)




class  lowerCAmelCase__ (						__magic_name__      ):
   def __init__(		self			:  List[str]       , snake_case__			:  Union[str, Any]       ):


        '''simple docstring'''
        UpperCAmelCase__	:						Tuple       =       "\nFAILURE TO GENERATE DATASET: Invalid key type detected"
        UpperCAmelCase__	:						str       =       f'\nFound Key {hash_data} of type {type(snake_case__       )}'
        UpperCAmelCase__	:						Union[str, Any]       =       "\nKeys should be either str, int or bytes type"
        super().__init__(f'{self.prefix}{self.err_msg}{self.suffix}'       )




class  lowerCAmelCase__ (						__magic_name__      ):
   def __init__(		self			:  List[str]       , snake_case__			:  Dict       , snake_case__			:  Optional[int]       , snake_case__			:  List[str]=""       ):


        '''simple docstring'''
        UpperCAmelCase__	:						Union[str, Any]       =       key
        UpperCAmelCase__	:						Optional[Any]       =       duplicate_key_indices
        UpperCAmelCase__	:						str       =       fix_msg
        UpperCAmelCase__	:						Any       =       "Found multiple examples generated with the same key"
        if len(snake_case__       ) <= 2_0:
             UpperCAmelCase__	:						int       =       f'\nThe examples at index {", ".join(snake_case__       )} have the key {key}'
        else:
             UpperCAmelCase__	:						str       =       f'\nThe examples at index {", ".join(duplicate_key_indices[:2_0]       )}... ({len(snake_case__       ) - 2_0} more) have the key {key}'
        UpperCAmelCase__	:						Any       =       "\n" + fix_msg if fix_msg else ""
        super().__init__(f'{self.prefix}{self.err_msg}{self.suffix}'       )




class  lowerCAmelCase__ :
   def __init__(		self			:  Dict       , snake_case__			:  str       ):


        '''simple docstring'''
        UpperCAmelCase__	:						Union[str, Any]       =       hashlib.mda(_as_bytes(snake_case__       )       )




   def 			__a       (		self			:  int       , snake_case__			:  Union[str, int, bytes]       ):


        '''simple docstring'''
        UpperCAmelCase__	:						int       =       self._split_mda.copy()
        UpperCAmelCase__	:						List[str]       =       _as_bytes(snake_case__       )
        mda.update(snake_case__       )
        # Convert to integer with hexadecimal conversion
        return int(mda.hexdigest()       , 1_6       )


