'''simple docstring'''






import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_UpperCAmelCase						:    Any     					=					logging.get_logger(__name__)


_UpperCAmelCase						:    Optional[int]     					=					{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

# See all MVP models at https://huggingface.co/models?filter=mvp
_UpperCAmelCase						:    Any     					=					{
    '''vocab_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json''',
    },
    '''added_tokens.json''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json''',
    },
    '''merges_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt''',
    },
}

_UpperCAmelCase						:    str     					=					{
    '''RUCAIBox/mvp''': 10_24,
}





@lru_cache()
def    _SCREAMING_SNAKE_CASE		(			):
     _A								=     (
         list(range(ord('!'							)      ,		ord('~'							) + 1							)							) + list(range(ord('¡'							)      ,		ord('¬'							) + 1							)							) + list(range(ord('®'							)      ,		ord('ÿ'							) + 1							)							)
     )
     _A								=     bs[:]
     _A								=     0
     for b in range(2**8							):
          if b not in bs:
               bs.append(__snake_case							)
               cs.append(2**8 + n							)
               n += 1
     _A								=     [chr(__snake_case							) for n in cs]
     return dict(zip(__snake_case      ,		__snake_case							)							)





def    _SCREAMING_SNAKE_CASE		(			__snake_case       : List[str]							):
     _A								=     set()
     _A								=     word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)							)
          _A								=     char
     return pairs







class lowercase_					(		_UpperCamelCase ):







   """simple docstring"""

   __lowerCAmelCase    						=      VOCAB_FILES_NAMES
   __lowerCAmelCase    						=      PRETRAINED_VOCAB_FILES_MAP
   __lowerCAmelCase    						=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __lowerCAmelCase    						=      ["input_ids", "attention_mask"]
   def __init__(			self			: Any,   UpperCamelCase__			: Any,   UpperCamelCase__			: int,   UpperCamelCase__			: List[Any]="replace",   UpperCamelCase__			: Dict="<s>",   UpperCamelCase__			: Any="</s>",   UpperCamelCase__			: List[str]="</s>",   UpperCamelCase__			: List[str]="<s>",   UpperCamelCase__			: List[str]="<unk>",   UpperCamelCase__			: Any="<pad>",   UpperCamelCase__			: Any="<mask>",   UpperCamelCase__			: int=False,   **UpperCamelCase__			: Union[str, Any],   )     -> int:
        _A								=     AddedToken(UpperCamelCase__,   lstrip=UpperCamelCase__,   rstrip=UpperCamelCase__    ) if isinstance(UpperCamelCase__,   UpperCamelCase__    ) else bos_token
        _A								=     AddedToken(UpperCamelCase__,   lstrip=UpperCamelCase__,   rstrip=UpperCamelCase__    ) if isinstance(UpperCamelCase__,   UpperCamelCase__    ) else eos_token
        _A								=     AddedToken(UpperCamelCase__,   lstrip=UpperCamelCase__,   rstrip=UpperCamelCase__    ) if isinstance(UpperCamelCase__,   UpperCamelCase__    ) else sep_token
        _A								=     AddedToken(UpperCamelCase__,   lstrip=UpperCamelCase__,   rstrip=UpperCamelCase__    ) if isinstance(UpperCamelCase__,   UpperCamelCase__    ) else cls_token
        _A								=     AddedToken(UpperCamelCase__,   lstrip=UpperCamelCase__,   rstrip=UpperCamelCase__    ) if isinstance(UpperCamelCase__,   UpperCamelCase__    ) else unk_token
        _A								=     AddedToken(UpperCamelCase__,   lstrip=UpperCamelCase__,   rstrip=UpperCamelCase__    ) if isinstance(UpperCamelCase__,   UpperCamelCase__    ) else pad_token

        # Mask token behave like a normal word, i.e. include the space before it
        _A								=     AddedToken(UpperCamelCase__,   lstrip=UpperCamelCase__,   rstrip=UpperCamelCase__    ) if isinstance(UpperCamelCase__,   UpperCamelCase__    ) else mask_token

        super().__init__(
            errors=UpperCamelCase__,   bos_token=UpperCamelCase__,   eos_token=UpperCamelCase__,   unk_token=UpperCamelCase__,   sep_token=UpperCamelCase__,   cls_token=UpperCamelCase__,   pad_token=UpperCamelCase__,   mask_token=UpperCamelCase__,   add_prefix_space=UpperCamelCase__,   **UpperCamelCase__,   )
        with open(UpperCamelCase__,   encoding='utf-8'    ) as vocab_handle:
             _A								=     json.load(UpperCamelCase__    )
        _A								=     {v: k for k, v in self.encoder.items()}
        _A								=     errors  # how to handle errors in decoding
        _A								=     bytes_to_unicode()
        _A								=     {v: k for k, v in self.byte_encoder.items()}
        with open(UpperCamelCase__,   encoding='utf-8'    ) as merges_handle:
             _A								=     merges_handle.read().split('\n'    )[1:-1]
        _A								=     [tuple(merge.split()    ) for merge in bpe_merges]
        _A								=     dict(zip(UpperCamelCase__,   range(len(UpperCamelCase__    )    )    )    )
        _A								=     {}
        _A								=     add_prefix_space

        # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
        _A								=     re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'    )
   @property
   def   __UpperCAmelCase      (			self			: List[Any]    )     -> Union[str, Any]:
        return len(self.encoder    )
   def   __UpperCAmelCase      (			self			: Any    )     -> Any:
        return dict(self.encoder,   **self.added_tokens_encoder    )
   def   __UpperCAmelCase      (			self			: Tuple,   UpperCamelCase__			: str    )     -> List[str]:
        if token in self.cache:
             return self.cache[token]
        _A								=     tuple(UpperCamelCase__    )
        _A								=     get_pairs(UpperCamelCase__    )

        if not pairs:
             return token

        while True:
             _A								=     min(UpperCamelCase__,   key=lambda UpperCamelCase__    : self.bpe_ranks.get(UpperCamelCase__,   float('inf'    )    )    )
             if bigram not in self.bpe_ranks:
                  break
             _A		,					_A								=     bigram
             _A								=     []
             _A								=     0
             while i < len(UpperCamelCase__    ):
                  try:
                       _A								=     word.index(UpperCamelCase__,   UpperCamelCase__    )
                  except ValueError:
                       new_word.extend(word[i:]    )
                       break
                  else:
                       new_word.extend(word[i:j]    )
                       _A								=     j

                  if word[i] == first and i < len(UpperCamelCase__    ) - 1 and word[i + 1] == second:
                       new_word.append(first + second    )
                       i += 2
                  else:
                       new_word.append(word[i]    )
                       i += 1
             _A								=     tuple(UpperCamelCase__    )
             _A								=     new_word
             if len(UpperCamelCase__    ) == 1:
                  break
             else:
                  _A								=     get_pairs(UpperCamelCase__    )
        _A								=     ' '.join(UpperCamelCase__    )
        _A								=     word
        return word
   def   __UpperCAmelCase      (			self			: Union[str, Any],   UpperCamelCase__			: Any    )     -> Optional[Any]:
        _A								=     []
        for token in re.findall(self.pat,   UpperCamelCase__    ):
             _A								=     ''.join(
                 self.byte_encoder[b] for b in token.encode('utf-8'    )    )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
             bpe_tokens.extend(bpe_token for bpe_token in self.bpe(UpperCamelCase__    ).split(' '    )    )
        return bpe_tokens
   def   __UpperCAmelCase      (			self			: List[str],   UpperCamelCase__			: Optional[int]    )     -> Any:
        return self.encoder.get(UpperCamelCase__,   self.encoder.get(self.unk_token    )    )
   def   __UpperCAmelCase      (			self			: List[str],   UpperCamelCase__			: Tuple    )     -> Union[str, Any]:
        return self.decoder.get(UpperCamelCase__    )
   def   __UpperCAmelCase      (			self			: str,   UpperCamelCase__			: List[str]    )     -> Dict:
        _A								=     ''.join(UpperCamelCase__    )
        _A								=     bytearray([self.byte_decoder[c] for c in text]    ).decode('utf-8',   errors=self.errors    )
        return text
   def   __UpperCAmelCase      (			self			: int,   UpperCamelCase__			: str,   UpperCamelCase__			: Optional[str] = None    )     -> Tuple[str]:
        if not os.path.isdir(UpperCamelCase__    ):
             logger.error(f'Vocabulary path ({save_directory}) should be a directory'    )
             return
        _A								=     os.path.join(
            UpperCamelCase__,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']    )
        _A								=     os.path.join(
            UpperCamelCase__,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']    )

        with open(UpperCamelCase__,   'w',   encoding='utf-8'    ) as f:
             f.write(json.dumps(self.encoder,   indent=2,   sort_keys=UpperCamelCase__,   ensure_ascii=UpperCamelCase__    ) + '\n'    )

        _A								=     0
        with open(UpperCamelCase__,   'w',   encoding='utf-8'    ) as writer:
             writer.write('#version: 0.2\n'    )
             for bpe_tokens, token_index in sorted(self.bpe_ranks.items(),   key=lambda UpperCamelCase__    : kv[1]    ):
                  if index != token_index:
                       logger.warning(
                           f'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
                           ' Please check that the tokenizer is not corrupted!'    )
                       _A								=     token_index
                  writer.write(' '.join(UpperCamelCase__    ) + '\n'    )
                  index += 1

        return vocab_file, merge_file
   def   __UpperCAmelCase      (			self			: str,   UpperCamelCase__			: List[int],   UpperCamelCase__			: Optional[List[int]] = None    )     -> List[int]:
        if token_ids_a is None:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        _A								=     [self.cls_token_id]
        _A								=     [self.sep_token_id]
        return cls + token_ids_a + sep + sep + token_ids_a + sep
   def   __UpperCAmelCase      (			self			: Optional[int],   UpperCamelCase__			: List[int],   UpperCamelCase__			: Optional[List[int]] = None,   UpperCamelCase__			: bool = False    )     -> List[int]:
        if already_has_special_tokens:
             return super().get_special_tokens_mask(
                 token_ids_a=UpperCamelCase__,   token_ids_a=UpperCamelCase__,   already_has_special_tokens=UpperCamelCase__    )

        if token_ids_a is None:
             return [1] + ([0] * len(UpperCamelCase__    )) + [1]
        return [1] + ([0] * len(UpperCamelCase__    )) + [1, 1] + ([0] * len(UpperCamelCase__    )) + [1]
   def   __UpperCAmelCase      (			self			: Any,   UpperCamelCase__			: List[int],   UpperCamelCase__			: Optional[List[int]] = None    )     -> List[int]:
        _A								=     [self.sep_token_id]
        _A								=     [self.cls_token_id]

        if token_ids_a is None:
             return len(cls + token_ids_a + sep    ) * [0]
        return len(cls + token_ids_a + sep + sep + token_ids_a + sep    ) * [0]

   def   __UpperCAmelCase      (			self			: Union[str, Any],   UpperCamelCase__			: int,   UpperCamelCase__			: int=False,   **UpperCamelCase__			: Union[str, Any]    )     -> Optional[Any]:
        _A								=     kwargs.pop('add_prefix_space',   self.add_prefix_space    )
        if (is_split_into_words or add_prefix_space) and (len(UpperCamelCase__    ) > 0 and not text[0].isspace()):
             _A								=     ' ' + text
        return (text, kwargs)




'''simple docstring'''






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


_UpperCAmelCase						:    int     					=					['''CoLA''', '''SST''', '''MRPC''', '''QQP''', '''STS''', '''MNLI''', '''SNLI''', '''QNLI''', '''RTE''', '''WNLI''', '''diagnostic''']
_UpperCAmelCase						:    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''',
}

_UpperCAmelCase						:    Any     					=					'''https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt'''
_UpperCAmelCase						:    List[Any]     					=					'''https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt'''





def    _SCREAMING_SNAKE_CASE		(			__snake_case       : int      ,		__snake_case       : Union[str, Any]							):
     print(F'Downloading and extracting {task}...'							)
     _A								=     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       : int      ,		__snake_case       : str							):
     print('Processing MRPC...'							)
     _A								=     os.path.join(__snake_case      ,		'MRPC'							)
     if not os.path.isdir(__snake_case							):
          os.mkdir(__snake_case							)
     if path_to_data:
          _A								=     os.path.join(__snake_case      ,		'msr_paraphrase_train.txt'							)
          _A								=     os.path.join(__snake_case      ,		'msr_paraphrase_test.txt'							)
     else:
          print('Local MRPC data not specified, downloading data from %s' % MRPC_TRAIN							)
          _A								=     os.path.join(__snake_case      ,		'msr_paraphrase_train.txt'							)
          _A								=     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'							)							)

     _A								=     []
     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:
          _A								=     data_fh.readline()
          train_fh.write(__snake_case							)
          dev_fh.write(__snake_case							)
          for row in data_fh:
               _A		,					_A		,					_A		,					_A		,					_A								=     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:
          _A								=     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							):
               _A		,					_A		,					_A		,					_A		,					_A								=     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       : List[Any]							):
     print('Downloading and extracting diagnostic...'							)
     if not os.path.isdir(os.path.join(__snake_case      ,		'diagnostic'							)							):
          os.mkdir(os.path.join(__snake_case      ,		'diagnostic'							)							)
     _A								=     os.path.join(__snake_case      ,		'diagnostic'      ,		'diagnostic.tsv'							)
     urllib.request.urlretrieve(TASKaPATH['diagnostic']      ,		__snake_case							)
     print('\tCompleted!'							)
     return





def    _SCREAMING_SNAKE_CASE		(			__snake_case       : List[Any]							):
     _A								=     task_names.split(','							)
     if "all" in task_names:
          _A								=     TASKS
     else:
          _A								=     []
          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]							):
     _A								=     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=''      ,		)
     _A								=     parser.parse_args(__snake_case							)

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



