






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

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


lowerCamelCase     :							List[Any]    =logging.get_logger(__name__)


lowerCamelCase     :							str    ={
    '''vocab_file''': '''vocab.json''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
    '''merges_file''': '''merges.txt''',
}

lowerCamelCase     :							Dict    ={
    '''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     :							Optional[Any]    ='''</w>'''
lowerCamelCase     :							List[Any]    ='''@@ '''







def 		SCREAMING_SNAKE_CASE							( __lowerCAmelCase      )			->     List[Any]:






     """simple docstring"""




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


# Speech2Text2 has no max input length
lowerCamelCase     :							Union[str, Any]    ={'''facebook/s2t-wav2vec2-large-en-de''': 1024}





class       __a  (   __SCREAMING_SNAKE_CASE	):
 _lowerCAmelCase	:	Optional[Any]				=			VOCAB_FILES_NAMES
 _lowerCAmelCase	:	List[Any]				=			PRETRAINED_VOCAB_FILES_MAP
 _lowerCAmelCase	:	Any				=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _lowerCAmelCase	:	int				=			["input_ids", "attention_mask"]







 def __init__(		self :       Dict							,       SCREAMING_SNAKE_CASE :       Optional[Any]							,       SCREAMING_SNAKE_CASE :       Dict="<s>"							,       SCREAMING_SNAKE_CASE :       Union[str, Any]="<pad>"							,       SCREAMING_SNAKE_CASE :       str="</s>"							,       SCREAMING_SNAKE_CASE :       List[str]="<unk>"							,       SCREAMING_SNAKE_CASE :       Optional[int]=False							,       SCREAMING_SNAKE_CASE :       Dict=None							,       **SCREAMING_SNAKE_CASE :       Dict							,       ):


      '''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							,       )

      UpperCamelCase__      :       Optional[Any]	    =  do_lower_case

      with open(_snake_case							,       encoding="utf-8"						) as vocab_handle:
           UpperCamelCase__      :       Optional[Any]	    =  json.load(_snake_case						)
      UpperCamelCase__      :       str	    =  {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.'						)

           UpperCamelCase__      :       Tuple	    =  None
           UpperCamelCase__      :       Any	    =  None
      else:
           with open(_snake_case							,       encoding="utf-8"						) as merges_handle:
                UpperCamelCase__      :       Dict	    =  merges_handle.read().split("\n"						)[:-1]

           UpperCamelCase__      :       List[Any]	    =  [tuple(merge.split()[:2]						) for merge in merges]
           UpperCamelCase__      :       Union[str, Any]	    =  dict(zip(_snake_case							,       range(len(_snake_case						)						)						)						)
           UpperCamelCase__      :       List[str]	    =  {}







 @property
 def  __lowercase (		self :       str						):


      '''simple docstring'''






      return len(self.decoder						)







 def  __lowercase (		self :       Dict						):


      '''simple docstring'''






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







 def  __lowercase (		self :       Optional[int]							,       SCREAMING_SNAKE_CASE :       List[str]						):


      '''simple docstring'''






      UpperCamelCase__      :       List[str]	    =  tuple(token[:-1]						) + (token[-1] + BPE_TOKEN_MERGES,)
      if token in self.cache:
           return self.cache[token]
      UpperCamelCase__      :       Optional[int]	    =  get_pairs(_snake_case						)

      if not pairs:
           return token

      while True:
           UpperCamelCase__      :       Dict	    =  min(_snake_case							,       key=lambda SCREAMING_SNAKE_CASE						: self.bpe_ranks.get(_snake_case							,       float("inf"						)						)						)
           if bigram not in self.bpe_ranks:
                break
           UpperCamelCase__      :       Optional[Any]	    =  bigram
           UpperCamelCase__      :       Union[str, Any]	    =  []
           UpperCamelCase__      :       Any	    =  0
           while i < len(_snake_case						):
                try:
                     UpperCamelCase__      :       int	    =  word.index(_snake_case							,       _snake_case						)
                except ValueError:
                     new_word.extend(word[i:]						)
                     break
                else:
                     new_word.extend(word[i:j]						)
                     UpperCamelCase__      :       Optional[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
           UpperCamelCase__      :       Any	    =  tuple(_snake_case						)
           UpperCamelCase__      :       Union[str, Any]	    =  new_word
           if len(_snake_case						) == 1:
                break
           else:
                UpperCamelCase__      :       Optional[Any]	    =  get_pairs(_snake_case						)
      UpperCamelCase__      :       Optional[int]	    =  " ".join(_snake_case						)
      if word == "\n  " + BPE_TOKEN_MERGES:
           UpperCamelCase__      :       Optional[Any]	    =  "\n" + BPE_TOKEN_MERGES

      if word.endswith(_snake_case						):
           UpperCamelCase__      :       Union[str, Any]	    =  word.replace(_snake_case							,       ""						)

      UpperCamelCase__      :       Any	    =  word.replace(" "							,       _snake_case						)
      UpperCamelCase__      :       List[str]	    =  word
      return word







 def  __lowercase (		self :       Optional[Any]							,       SCREAMING_SNAKE_CASE :       Any						):


      '''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:
           UpperCamelCase__      :       Optional[Any]	    =  text.lower()

      UpperCamelCase__      :       Union[str, Any]	    =  text.split()

      UpperCamelCase__      :       List[str]	    =  []
      for token in text:
           if token:
                split_tokens.extend(list(self.bpe(_snake_case						).split(" "						)						)						)

      return split_tokens







 def  __lowercase (		self :       Optional[int]							,       SCREAMING_SNAKE_CASE :       Any						):


      '''simple docstring'''






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







 def  __lowercase (		self :       Dict							,       SCREAMING_SNAKE_CASE :       Any						):


      '''simple docstring'''






      UpperCamelCase__      :       Union[str, Any]	    =  self.decoder.get(_snake_case							,       self.unk_token						)
      return result







 def  __lowercase (		self :       str							,       SCREAMING_SNAKE_CASE :       Optional[Any]						):


      '''simple docstring'''






      UpperCamelCase__      :       Dict	    =  " ".join(_snake_case						)

      # make sure @@ tokens are concatenated
      UpperCamelCase__      :       Any	    =  "".join(string.split(_snake_case						)						)

      return string







 def  __lowercase (		self :       int							,       SCREAMING_SNAKE_CASE :       str							,       SCREAMING_SNAKE_CASE :       int = None						):


      '''simple docstring'''






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

      UpperCamelCase__      :       Tuple	    =  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 SCREAMING_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!"						)
                     UpperCamelCase__      :       Tuple	    =  token_index
                writer.write(" ".join(_snake_case						) + "\n"						)
                index += 1

      return (vocab_file, merges_file)







from __future__ import annotations







def 		SCREAMING_SNAKE_CASE							( __lowerCAmelCase ,   __lowerCAmelCase = None ,   __lowerCAmelCase = None      )			->     None:
     if start is None:
          UpperCamelCase__      :       Union[str, Any]	    =  0

     if end is None:
          UpperCamelCase__      :       List[Any]	    =  len(__lowerCAmelCase      ) - 1

     if start >= end:
          return

     UpperCamelCase__      :       Union[str, Any]	    =  (start + end) // 2

     slowsort(__lowerCAmelCase ,   __lowerCAmelCase ,   __lowerCAmelCase      )
     slowsort(__lowerCAmelCase ,   mid + 1 ,   __lowerCAmelCase      )

     if sequence[end] < sequence[mid]:
          UpperCamelCase__    ,					UpperCamelCase__      :       Optional[int]	    =  sequence[mid], sequence[end]

     slowsort(__lowerCAmelCase ,   __lowerCAmelCase ,   end - 1      )


if __name__ == "__main__":
 from doctest import testmod

 testmod()