





"""simple docstring"""




import json
import os
from typing import Dict, List, Optional, Tuple

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


lowerCamelCase_     :						Tuple						=					logging.get_logger(__name__)


lowerCamelCase_     :						List[Any]						=					{
    'vocab_file': 'vocab.json',
    'tokenizer_config_file': 'tokenizer_config.json',
    'merges_file': 'merges.txt',
}

lowerCamelCase_     :						List[Any]						=					{
    'vocab_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json'
        ),
    },
    'tokenizer_config_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json'
        ),
    },
    'merges_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt'
        ),
    },
}

lowerCamelCase_     :						Tuple						=					'</w>'
lowerCamelCase_     :						str						=					'@@ '





def 						UpperCAmelCase__		(     _UpperCAmelCase					):






  """simple docstring"""





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


# Speech2Text2 has no max input length
lowerCamelCase_     :						List[str]						=					{'facebook/s2t-wav2vec2-large-en-de': 10_24}





class  _UpperCAmelCase  (   UpperCAmelCase__		):



      '''simple docstring'''
      lowercase_      : Optional[Any]	    =   VOCAB_FILES_NAMES
      lowercase_      : List[str]	    =   PRETRAINED_VOCAB_FILES_MAP
      lowercase_      : str	    =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowercase_      : Union[str, Any]	    =   ["""input_ids""", """attention_mask"""]

      def __init__(     self					,      snake_case_					,      snake_case_="<s>"					,      snake_case_="<pad>"					,      snake_case_="</s>"					,      snake_case_="<unk>"					,      snake_case_=False					,      snake_case_=None					,      **snake_case_					,      ):

        """simple docstring"""

        super().__init__(
            unk_token=snake_case_					,      bos_token=snake_case_					,      eos_token=snake_case_					,      pad_token=snake_case_					,      do_lower_case=snake_case_					,      **snake_case_					,      )

        A_  :       Dict										=  do_lower_case

        with open(snake_case_					,      encoding='utf-8'  ) as vocab_handle:
          A_  :       Optional[Any]										=  json.load(snake_case_  )
        A_  :       Tuple										=  {v: k for k, v in self.encoder.items()}

        if merges_file is None:
          logger.info(F"""No merges files provided. {self.__class__.__name__} can only be used for decoding."""  )

          A_  :       Any										=  None
          A_  :       Any										=  None
        else:
          with open(snake_case_					,      encoding='utf-8'  ) as merges_handle:
            A_  :       Dict										=  merges_handle.read().split('\n'  )[:-1]

          A_  :       Dict										=  [tuple(merge.split()[:2]  ) for merge in merges]
          A_  :       Optional[int]										=  dict(zip(snake_case_					,      range(len(snake_case_  )  )  )  )
          A_  :       List[str]										=  {}

      @property
      def 					lowerCamelCase_			(     self  ):

        """simple docstring"""

        return len(self.decoder  )

      def 					lowerCamelCase_			(     self  ):

        """simple docstring"""

        return dict(self.encoder					,      **self.added_tokens_encoder  )

      def 					lowerCamelCase_			(     self					,      snake_case_  ):

        """simple docstring"""

        A_  :       Union[str, Any]										=  tuple(token[:-1]  ) + (token[-1] + BPE_TOKEN_MERGES,)
        if token in self.cache:
          return self.cache[token]
        A_  :       Union[str, Any]										=  get_pairs(snake_case_  )

        if not pairs:
          return token

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

            if word[i] == first and i < len(snake_case_  ) - 1 and word[i + 1] == second:
              new_word.append(first + second  )
              i += 2
            else:
              new_word.append(word[i]  )
              i += 1
          A_  :       List[str]										=  tuple(snake_case_  )
          A_  :       Dict										=  new_word
          if len(snake_case_  ) == 1:
            break
          else:
            A_  :       Dict										=  get_pairs(snake_case_  )
        A_  :       int										=  ' '.join(snake_case_  )
        if word == "\n  " + BPE_TOKEN_MERGES:
          A_  :       Tuple										=  '\n' + BPE_TOKEN_MERGES

        if word.endswith(snake_case_  ):
          A_  :       Union[str, Any]										=  word.replace(snake_case_					,      ''  )

        A_  :       Any										=  word.replace(' '					,      snake_case_  )
        A_  :       Optional[int]										=  word
        return word

      def 					lowerCamelCase_			(     self					,      snake_case_  ):

        """simple docstring"""

        if self.bpe_ranks is None:
          raise ValueError(
              'This tokenizer was instantiated without a `merges.txt` file, so'
              ' that it can only be used for decoding, not for encoding.'
              'Make sure to provide `merges.txt` file at instantiation to enable '
              'encoding.'  )

        if self.do_lower_case:
          A_  :       Optional[int]										=  text.lower()

        A_  :       int										=  text.split()

        A_  :       List[Any]										=  []
        for token in text:
          if token:
            split_tokens.extend(list(self.bpe(snake_case_  ).split(' '  )  )  )

        return split_tokens

      def 					lowerCamelCase_			(     self					,      snake_case_  ):

        """simple docstring"""

        return self.encoder.get(snake_case_					,      self.encoder.get(self.unk_token  )  )

      def 					lowerCamelCase_			(     self					,      snake_case_  ):

        """simple docstring"""

        A_  :       Optional[Any]										=  self.decoder.get(snake_case_					,      self.unk_token  )
        return result

      def 					lowerCamelCase_			(     self					,      snake_case_  ):

        """simple docstring"""

        A_  :       List[Any]										=  ' '.join(snake_case_  )

        # make sure @@ tokens are concatenated
        A_  :       List[str]										=  ''.join(string.split(snake_case_  )  )

        return string

      def 					lowerCamelCase_			(     self					,      snake_case_					,      snake_case_ = None  ):

        """simple docstring"""

        if not os.path.isdir(snake_case_  ):
          logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""  )
          return
        A_  :       List[Any]										=  os.path.join(
            snake_case_					,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']  )
        A_  :       Tuple										=  os.path.join(
            snake_case_					,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']  )

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

        A_  :       Union[str, Any]										=  0
        if self.bpe_ranks is None:
          return (vocab_file,)

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

        return (vocab_file, merges_file)






"""simple docstring"""




def 						UpperCAmelCase__		(     _UpperCAmelCase					):






  """simple docstring"""





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

  if num == 0:
    return "0b0"

  A_  :       str										=  False

  if num < 0:
    A_  :       Dict										=  True
    A_  :       Union[str, Any]										=  -num

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

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

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


if __name__ == "__main__":
   import doctest

   doctest.testmod()