




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

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


lowerCAmelCase_						=			logging.get_logger(__name__)


lowerCAmelCase_						=			{
    "vocab_file": "vocab.json",
    "tokenizer_config_file": "tokenizer_config.json",
    "merges_file": "merges.txt",
}

lowerCAmelCase_						=			{
    "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_						=			"</w>"
lowerCAmelCase_						=			"@@ "






def  snake_case(    __magic_name__   )			->							Optional[Any]:





     '''simple docstring'''


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


# Speech2Text2 has no max input length
lowerCAmelCase_						=			{"facebook/s2t-wav2vec2-large-en-de": 10_24}



class 						_A (  _lowerCamelCase				):
  _UpperCamelCase       :      int			=      VOCAB_FILES_NAMES
  _UpperCamelCase       :      Optional[int]			=      PRETRAINED_VOCAB_FILES_MAP
  _UpperCamelCase       :      Tuple			=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _UpperCamelCase       :      Optional[Any]			=      ['''input_ids''', '''attention_mask''']






  def __init__(  self		:     Optional[Any]				,						_A		:     Optional[int]				,						_A		:     Tuple="<s>"				,						_A		:     int="<pad>"				,						_A		:     Tuple="</s>"				,						_A		:     int="<unk>"				,						_A		:     Optional[Any]=False				,						_A		:     Optional[int]=None				,						**_A		:     Optional[int]				,						)		->   Tuple:






       """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				,						)

       lowercase :       int       =			do_lower_case

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

            lowercase :       Dict       =			None
            lowercase :       List[str]       =			None
       else:
            with open(_snake_case				,						encoding='''utf-8'''				) as merges_handle:
                 lowercase :       Union[str, Any]       =			merges_handle.read().split('''\n'''				)[:-1]

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






  @property
  def  __a      (  self		:     List[Any]				)		->   List[str]:






       """simple docstring"""







       return len(self.decoder				)






  def  __a      (  self		:     Any				)		->   Any:






       """simple docstring"""







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






  def  __a      (  self		:     List[Any]				,						_A		:     List[Any]				)		->   Optional[Any]:






       """simple docstring"""







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

       if not pairs:
            return token

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

       if word.endswith(_snake_case				):
            lowercase :       Dict       =			word.replace(_snake_case				,						''''''				)

       lowercase :       Optional[int]       =			word.replace(''' '''				,						_snake_case				)
       lowercase :       Optional[Any]       =			word
       return word






  def  __a      (  self		:     int				,						_A		:     Union[str, Any]				)		->   Dict:






       """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:
            lowercase :       Optional[int]       =			text.lower()

       lowercase :       str       =			text.split()

       lowercase :       Tuple       =			[]
       for token in text:
            if token:
                 split_tokens.extend(list(self.bpe(_snake_case				).split(''' '''				)				)				)

       return split_tokens






  def  __a      (  self		:     Optional[Any]				,						_A		:     str				)		->   Dict:






       """simple docstring"""







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






  def  __a      (  self		:     List[Any]				,						_A		:     int				)		->   Any:






       """simple docstring"""







       lowercase :       Any       =			self.decoder.get(_snake_case				,						self.unk_token				)
       return result






  def  __a      (  self		:     Dict				,						_A		:     List[str]				)		->   Any:






       """simple docstring"""







       lowercase :       List[str]       =			''' '''.join(_snake_case				)

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

       return string






  def  __a      (  self		:     Optional[int]				,						_A		:     str				,						_A		:     Optional[str] = None				)		->   Dict:






       """simple docstring"""







       if not os.path.isdir(_snake_case				):
            logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""				)
            return
       lowercase :       Optional[int]       =			os.path.join(
           _snake_case				,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)
       lowercase :       int       =			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'''				)

       lowercase :       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 _A				: 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!'''				)
                      lowercase :       Dict       =			token_index
                 writer.write(''' '''.join(_snake_case				) + '''\n'''				)
                 index += 1

       return (vocab_file, merges_file)





lowerCAmelCase_						=			range(2, 20 + 1)
lowerCAmelCase_						=			[10**k for k in range(ks[-1] + 1)]
lowerCAmelCase_						=			{}






def  snake_case(    __magic_name__			,		__magic_name__			,		__magic_name__			,		__magic_name__   )			->							Any:





     '''simple docstring'''


     lowercase :       str       =			sum(a_i[j] for j in range(__magic_name__			,		len(__magic_name__   )   )   )
     lowercase :       Any       =			sum(a_i[j] * base[j] for j in range(min(len(__magic_name__   )			,		__magic_name__   )   )   )

     lowercase      ,	lowercase :       Optional[int]       =			0, 0
     lowercase :       str       =			n - i

     lowercase :       Optional[int]       =			memo.get(__magic_name__   )

     if sub_memo is not None:
          lowercase :       List[str]       =			sub_memo.get(__magic_name__   )

          if jumps is not None and len(__magic_name__   ) > 0:
               # find and make the largest jump without going over
               lowercase :       Dict       =			-1
               for _k in range(len(__magic_name__   ) - 1			,		-1			,		-1   ):
                    if jumps[_k][2] <= k and jumps[_k][1] <= max_dn:
                         lowercase :       Any       =			_k
                         break

               if max_jump >= 0:
                    lowercase      ,	lowercase      ,	lowercase :       List[str]       =			jumps[max_jump]
                    # since the difference between jumps is cached, add c
                    lowercase :       str       =			diff + c
                    for j in range(min(__magic_name__			,		len(__magic_name__   )   )   ):
                         lowercase      ,	lowercase :       Optional[Any]       =			divmod(__magic_name__			,		10   )
                    if new_c > 0:
                         add(__magic_name__			,		__magic_name__			,		__magic_name__   )

          else:
               lowercase :       Dict       =			[]
     else:
          lowercase :       Union[str, Any]       =			{c: []}
          lowercase :       Optional[Any]       =			sub_memo

     if dn >= max_dn or c + diff >= base[k]:
          return diff, dn

     if k > ks[0]:
          while True:
               # keep doing smaller jumps
               lowercase      ,	lowercase :       str       =			next_term(__magic_name__			,		k - 1			,		i + dn			,		__magic_name__   )
               diff += _diff
               dn += terms_jumped

               if dn >= max_dn or c + diff >= base[k]:
                    break
     else:
          # would be too small a jump, just compute sequential terms instead
          lowercase      ,	lowercase :       Optional[Any]       =			compute(__magic_name__			,		__magic_name__			,		i + dn			,		__magic_name__   )
          diff += _diff
          dn += terms_jumped

     lowercase :       Optional[Any]       =			sub_memo[c]

     # keep jumps sorted by # of terms skipped
     lowercase :       List[Any]       =			0
     while j < len(__magic_name__   ):
          if jumps[j][1] > dn:
               break
          j += 1

     # cache the jump for this value digitsum(b) and c
     sub_memo[c].insert(__magic_name__			,		(diff, dn, k)   )
     return (diff, dn)






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





     '''simple docstring'''


     if i >= n:
          return 0, i
     if k > len(__magic_name__   ):
          a_i.extend([0 for _ in range(k - len(__magic_name__   )   )]   )

     # note: a_i -> b * 10^k + c
     # ds_b -> digitsum(b)
     # ds_c -> digitsum(c)
     lowercase :       Optional[Any]       =			i
     lowercase      ,	lowercase      ,	lowercase :       List[str]       =			0, 0, 0
     for j in range(len(__magic_name__   )   ):
          if j >= k:
               ds_b += a_i[j]
          else:
               ds_c += a_i[j]

     while i < n:
          i += 1
          lowercase :       List[str]       =			ds_c + ds_b
          diff += addend
          lowercase :       Tuple       =			0
          for j in range(__magic_name__   ):
               lowercase :       int       =			a_i[j] + addend
               lowercase      ,	lowercase :       Any       =			divmod(__magic_name__			,		10   )

               ds_c += a_i[j]

          if addend > 0:
               break

     if addend > 0:
          add(__magic_name__			,		__magic_name__			,		__magic_name__   )
     return diff, i - start_i






def  snake_case(    __magic_name__			,		__magic_name__			,		__magic_name__   )			->							Tuple:





     '''simple docstring'''


     for j in range(__magic_name__			,		len(__magic_name__   )   ):
          lowercase :       Any       =			digits[j] + addend
          if s >= 10:
               lowercase      ,	lowercase :       List[str]       =			divmod(__magic_name__			,		10   )
               lowercase :       List[str]       =			addend // 10 + quotient
          else:
               lowercase :       Optional[Any]       =			s
               lowercase :       Tuple       =			addend // 10

          if addend == 0:
               break

     while addend > 0:
          lowercase      ,	lowercase :       str       =			divmod(__magic_name__			,		10   )
          digits.append(__magic_name__   )






def  snake_case(    __magic_name__ = 10**15   )			->							int:





     '''simple docstring'''


     lowercase :       List[Any]       =			[1]
     lowercase :       List[Any]       =			1
     lowercase :       str       =			0
     while True:
          lowercase      ,	lowercase :       str       =			next_term(__magic_name__			,		20			,		i + dn			,		__magic_name__   )
          dn += terms_jumped
          if dn == n - i:
               break

     lowercase :       str       =			0
     for j in range(len(__magic_name__   )   ):
          a_n += digits[j] * 10**j
     return a_n


if __name__ == "__main__":
 print(f'''{solution() = }''')