


import json
import os
from typing import Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_SCREAMING_SNAKE_CASE			:       Optional[Any]      =						logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE			:       List[Any]      =						{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

_SCREAMING_SNAKE_CASE			:       Tuple      =						{
    """vocab_file""": {"""ctrl""": """https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json"""},
    """merges_file""": {"""ctrl""": """https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt"""},
}

_SCREAMING_SNAKE_CASE			:       Dict      =						{
    """ctrl""": 256,
}

_SCREAMING_SNAKE_CASE			:       List[Any]      =						{
    """Pregnancy""": 168629,
    """Christianity""": 7675,
    """Explain""": 106423,
    """Fitness""": 63440,
    """Saving""": 63163,
    """Ask""": 27171,
    """Ass""": 95985,
    """Joke""": 163509,
    """Questions""": 45622,
    """Thoughts""": 49605,
    """Retail""": 52342,
    """Feminism""": 164338,
    """Writing""": 11992,
    """Atheism""": 192263,
    """Netflix""": 48616,
    """Computing""": 39639,
    """Opinion""": 43213,
    """Alone""": 44967,
    """Funny""": 58917,
    """Gaming""": 40358,
    """Human""": 4088,
    """India""": 1331,
    """Joker""": 77138,
    """Diet""": 36206,
    """Legal""": 11859,
    """Norman""": 4939,
    """Tip""": 72689,
    """Weight""": 52343,
    """Movies""": 46273,
    """Running""": 23425,
    """Science""": 2090,
    """Horror""": 37793,
    """Confession""": 60572,
    """Finance""": 12250,
    """Politics""": 16360,
    """Scary""": 191985,
    """Support""": 12654,
    """Technologies""": 32516,
    """Teenage""": 66160,
    """Event""": 32769,
    """Learned""": 67460,
    """Notion""": 182770,
    """Wikipedia""": 37583,
    """Books""": 6665,
    """Extract""": 76050,
    """Confessions""": 102701,
    """Conspiracy""": 75932,
    """Links""": 63674,
    """Narcissus""": 150425,
    """Relationship""": 54766,
    """Relationships""": 134796,
    """Reviews""": 41671,
    """News""": 4256,
    """Translation""": 26820,
    """multilingual""": 128406,
}







def     _lowercase							(  __lowerCamelCase      :       int      )	-> Tuple:





     '''simple docstring'''





     UpperCamelCase__				:	Optional[int]										=  set()
     UpperCamelCase__				:	List[str]										=  word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)      )
          UpperCamelCase__				:	str										=  char

     UpperCamelCase__				:	Optional[Any]										=  set(SCREAMING_SNAKE_CASE_      )
     return pairs







class 			UpperCamelCase__			(			__lowerCamelCase      ):
      a__ :  List[Any]		    =    VOCAB_FILES_NAMES
      a__ :  List[Any]		    =    PRETRAINED_VOCAB_FILES_MAP
      a__ :  int		    =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      a__ :  int		    =    CONTROL_CODES






      def __init__(  self       : Dict,		__lowerCamelCase       : List[Any],		__lowerCamelCase       : Optional[int],		__lowerCamelCase       : Dict="<unk>",		**__lowerCamelCase       : Optional[Any] )	->			Optional[Any]:
           super().__init__(unk_token=_lowercase,		**_lowercase )

           with open(_lowercase,		encoding='''utf-8''' ) as vocab_handle:
                UpperCamelCase__				:	str										=  json.load(_lowercase )
           UpperCamelCase__				:	List[Any]										=  {v: k for k, v in self.encoder.items()}
           with open(_lowercase,		encoding='''utf-8''' ) as merges_handle:
                UpperCamelCase__				:	Optional[int]										=  merges_handle.read().split('''\n''' )[1:-1]
           UpperCamelCase__				:	Dict										=  [tuple(merge.split() ) for merge in merges]
           UpperCamelCase__				:	int										=  dict(zip(_lowercase,		range(len(_lowercase ) ) ) )
           UpperCamelCase__				:	Optional[int]										=  {}






      @property
      def 						__lowercase(  self       : Any )	->			Tuple:
           return len(self.encoder )






      def 						__lowercase(  self       : Tuple )	->			Any:
           return dict(self.encoder,		**self.added_tokens_encoder )






      def 						__lowercase(  self       : Any,		__lowerCamelCase       : Dict )	->			Tuple:
           if token in self.cache:
                return self.cache[token]
           UpperCamelCase__				:	Optional[Any]										=  tuple(_lowercase )
           UpperCamelCase__				:	str										=  tuple(list(word[:-1] ) + [word[-1] + '''</w>'''] )
           UpperCamelCase__				:	Dict										=  get_pairs(_lowercase )

           if not pairs:
                return token

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

                     if word[i] == first and i < len(_lowercase ) - 1 and word[i + 1] == second:
                          new_word.append(first + second )
                          i += 2
                     else:
                          new_word.append(word[i] )
                          i += 1
                UpperCamelCase__				:	List[Any]										=  tuple(_lowercase )
                UpperCamelCase__				:	Optional[Any]										=  new_word
                if len(_lowercase ) == 1:
                     break
                else:
                     UpperCamelCase__				:	int										=  get_pairs(_lowercase )
           UpperCamelCase__				:	List[str]										=  '''@@ '''.join(_lowercase )
           UpperCamelCase__				:	List[str]										=  word[:-4]
           UpperCamelCase__				:	str										=  word
           return word






      def 						__lowercase(  self       : Any,		__lowerCamelCase       : Tuple )	->			Dict:
           UpperCamelCase__				:	Optional[Any]										=  []

           UpperCamelCase__				:	Any										=  re.findall(R'''\S+\n?''',		_lowercase )

           for token in words:
                split_tokens.extend(list(self.bpe(_lowercase ).split(''' ''' ) ) )
           return split_tokens






      def 						__lowercase(  self       : List[str],		__lowerCamelCase       : Optional[int] )	->			Optional[Any]:
           return self.encoder.get(_lowercase,		self.encoder.get(self.unk_token ) )






      def 						__lowercase(  self       : List[Any],		__lowerCamelCase       : Dict )	->			Optional[int]:
           return self.decoder.get(_lowercase,		self.unk_token )






      def 						__lowercase(  self       : Union[str, Any],		__lowerCamelCase       : Any )	->			List[Any]:
           UpperCamelCase__				:	Optional[Any]										=  ''' '''.join(_lowercase ).replace('''@@ ''',		'''''' ).strip()
           return out_string






      def 						__lowercase(  self       : Any,		__lowerCamelCase       : str,		__lowerCamelCase       : Dict = None )	->			Tuple[str]:
           if not os.path.isdir(_lowercase ):
                logger.error(f'Vocabulary path ({save_directory}) should be a directory' )
                return
           UpperCamelCase__				:	Optional[int]										=  os.path.join(
               _lowercase,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )
           UpperCamelCase__				:	Union[str, Any]										=  os.path.join(
               _lowercase,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file'''] )

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

           UpperCamelCase__				:	int										=  0
           with open(_lowercase,		'''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 __lowerCamelCase : 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!''' )
                          UpperCamelCase__				:	Optional[int]										=  token_index
                     writer.write(''' '''.join(_lowercase ) + '''\n''' )
                     index += 1

           return vocab_file, merge_file

      # def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
      #     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
      #     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
      #     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
      #     return ''.join(tokens_generated_so_far)







def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			)->						str:



    """simple docstring"""






    if isinstance(SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			):
        raise TypeError("'float' object cannot be interpreted as an integer"			)
    if isinstance(SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			):
        raise TypeError("'str' object cannot be interpreted as an integer"			)

    if num == 0:
        return "0b0"

    UpperCamelCase_			  =						False

    if num < 0:
        UpperCamelCase_			  =						True
        UpperCamelCase_			  =						-num

    UpperCamelCase_			  =						[]
    while num > 0:
        binary.insert(0			,						num % 2			)
        num >>= 1

    if negative:
        return "-0b" + "".join(str(SCREAMING_SNAKE_CASE_			) for e in binary			)

    return "0b" + "".join(str(SCREAMING_SNAKE_CASE_			) for e in binary			)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
