





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

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


lowercase_          =		logging.get_logger(__name__)


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

lowercase_          =		{
    """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"""
        ),
    },
}

lowercase_          =		"""</w>"""
lowercase_          =		"""@@ """




def       __UpperCamelCase  (_SCREAMING_SNAKE_CASE		)    ->       Optional[int]:
  lowercase__           =  set()
  lowercase__           =  word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)		)
    lowercase__           =  char
  return pairs


# Speech2Text2 has no max input length
lowercase_          =		{"""facebook/s2t-wav2vec2-large-en-de""": 1_024}


class     SCREAMING_SNAKE_CASE       (UpperCAmelCase				):
   _UpperCamelCase   :		int			 =	VOCAB_FILES_NAMES
   _UpperCamelCase   :		Optional[Any]			 =	PRETRAINED_VOCAB_FILES_MAP
   _UpperCamelCase   :		str			 =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _UpperCamelCase   :		Dict			 =	['input_ids', 'attention_mask']


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





     """simple docstring"""







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

     lowercase__           =  do_lower_case

     with open(a      ,					encoding='utf-8'	) as vocab_handle:
       lowercase__           =  json.load(a	)
     lowercase__           =  {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__           =  None
       lowercase__           =  None
     else:
       with open(a      ,					encoding='utf-8'	) as merges_handle:
         lowercase__           =  merges_handle.read().split('\n'	)[:-1]

       lowercase__           =  [tuple(merge.split()[:2]	) for merge in merges]
       lowercase__           =  dict(zip(a      ,					range(len(a	)	)	)	)
       lowercase__           =  {}


   @property
   def 	SCREAMING_SNAKE_CASE_							(   self      :    Union[str, Any]	)->       int:





     """simple docstring"""







     return len(self.decoder	)


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Dict	)->       Dict:





     """simple docstring"""







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


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Tuple      ,					a      :    List[str]	)->       Any:





     """simple docstring"""







     lowercase__           =  tuple(token[:-1]	) + (token[-1] + BPE_TOKEN_MERGES,)
     if token in self.cache:
       return self.cache[token]
     lowercase__           =  get_pairs(a	)

     if not pairs:
       return token

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

         if word[i] == first and i < len(a	) - 1 and word[i + 1] == second:
           new_word.append(first + second	)
           i += 2
         else:
           new_word.append(word[i]	)
           i += 1
       lowercase__           =  tuple(a	)
       lowercase__           =  new_word
       if len(a	) == 1:
         break
       else:
         lowercase__           =  get_pairs(a	)
     lowercase__           =  ' '.join(a	)
     if word == "\n  " + BPE_TOKEN_MERGES:
       lowercase__           =  '\n' + BPE_TOKEN_MERGES

     if word.endswith(a	):
       lowercase__           =  word.replace(a      ,					''	)

     lowercase__           =  word.replace(' '      ,					a	)
     lowercase__           =  word
     return word


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Optional[Any]      ,					a      :    str	)->       Union[str, 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:
       lowercase__           =  text.lower()

     lowercase__           =  text.split()

     lowercase__           =  []
     for token in text:
       if token:
         split_tokens.extend(list(self.bpe(a	).split(' '	)	)	)

     return split_tokens


   def 	SCREAMING_SNAKE_CASE_							(   self      :    List[str]      ,					a      :    str	)->       int:





     """simple docstring"""







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


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Any      ,					a      :    int	)->       str:





     """simple docstring"""







     lowercase__           =  self.decoder.get(a      ,					self.unk_token	)
     return result


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Optional[int]      ,					a      :    List[str]	)->       str:





     """simple docstring"""







     lowercase__           =  ' '.join(a	)

     # make sure @@ tokens are concatenated
     lowercase__           =  ''.join(string.split(a	)	)

     return string


   def 	SCREAMING_SNAKE_CASE_							(   self      :    List[str]      ,					a      :    str      ,					a      :    Optional[str] = None	)->       Tuple[str]:





     """simple docstring"""







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

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

     lowercase__           =  0
     if self.bpe_ranks is None:
       return (vocab_file,)

     with open(a      ,					'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__           =  token_index
         writer.write(' '.join(a	) + '\n'	)
         index += 1

     return (vocab_file, merges_file)









from typing import TYPE_CHECKING

from ..utils import _LazyModule


lowercase_          =		{
    """config""": [
        """EXTERNAL_DATA_FORMAT_SIZE_LIMIT""",
        """OnnxConfig""",
        """OnnxConfigWithPast""",
        """OnnxSeq2SeqConfigWithPast""",
        """PatchingSpec""",
    ],
    """convert""": ["""export""", """validate_model_outputs"""],
    """features""": ["""FeaturesManager"""],
    """utils""": ["""ParameterFormat""", """compute_serialized_parameters_size"""],
}


if TYPE_CHECKING:
      from .config import (
          EXTERNAL_DATA_FORMAT_SIZE_LIMIT,
          OnnxConfig,
          OnnxConfigWithPast,
          OnnxSeqaSeqConfigWithPast,
          PatchingSpec,
      )
      from .convert import export, validate_model_outputs
      from .features import FeaturesManager
      from .utils import ParameterFormat, compute_serialized_parameters_size

else:
      import sys

      lowercase_          =		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


