'''simple docstring'''




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

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


__UpperCAmelCase     							=logging.get_logger(__name__)


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

__UpperCAmelCase     							={
    "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"
        ),
    },
}

__UpperCAmelCase     							="</w>"
__UpperCAmelCase     							="@@ "






def __lowerCAmelCase (							UpperCamelCase__				)	->    str:
    __lowerCamelCase		=  set()
    __lowerCamelCase		=  word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)				)
        __lowerCamelCase		=  char
    return pairs


# Speech2Text2 has no max input length
__UpperCAmelCase     							={"facebook/s2t-wav2vec2-large-en-de": 1_0_2_4}




class     a__      (   UpperCAmelCase__ ):
     lowerCamelCase  :     Optional[int]							=VOCAB_FILES_NAMES
     lowerCamelCase  :     Optional[int]							=PRETRAINED_VOCAB_FILES_MAP
     lowerCamelCase  :     Any							=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowerCamelCase  :     Dict							=["input_ids", "attention_mask"]






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





         """simple docstring"""



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

         __lowerCamelCase		=  do_lower_case

         with open(a  ,				encoding='''utf-8'''    ) as vocab_handle:
             __lowerCamelCase		=  json.load(a    )
         __lowerCamelCase		=  {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."""    )

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

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






     @property
     def    SCREAMING_SNAKE_CASE__   ( self		:		int    ):





         """simple docstring"""



         return len(self.decoder    )






     def    SCREAMING_SNAKE_CASE__   ( self		:		List[Any]    ):





         """simple docstring"""



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






     def    SCREAMING_SNAKE_CASE__   ( self		:		Any  ,				a		:		List[str]    ):





         """simple docstring"""



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

         if not pairs:
             return token

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

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

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






     def    SCREAMING_SNAKE_CASE__   ( self		:		Optional[Any]  ,				a		:		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:
             __lowerCamelCase		=  text.lower()

         __lowerCamelCase		=  text.split()

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

         return split_tokens






     def    SCREAMING_SNAKE_CASE__   ( self		:		List[Any]  ,				a		:		str    ):





         """simple docstring"""



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






     def    SCREAMING_SNAKE_CASE__   ( self		:		Optional[Any]  ,				a		:		int    ):





         """simple docstring"""



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






     def    SCREAMING_SNAKE_CASE__   ( self		:		Union[str, Any]  ,				a		:		List[str]    ):





         """simple docstring"""



         __lowerCamelCase		=  ''' '''.join(a    )

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

         return string






     def    SCREAMING_SNAKE_CASE__   ( self		:		List[Any]  ,				a		:		str  ,				a		:		Optional[str] = None    ):





         """simple docstring"""



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

         __lowerCamelCase		=  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!'''    )
                     __lowerCamelCase		=  token_index
                 writer.write(''' '''.join(a    ) + '''\n'''    )
                 index += 1

         return (vocab_file, merges_file)

'''simple docstring'''

from abc import ABC, abstractmethod
from argparse import ArgumentParser







class 				_lowercase     (				UpperCAmelCase__			):


 '''simple docstring'''






 @staticmethod
 @abstractmethod
 def a					(      SCREAMING_SNAKE_CASE__   :	ArgumentParser							)  ->    Tuple:
  raise NotImplementedError()





 @abstractmethod
 def a					(      self   :	int							)  ->    Union[str, Any]:
  raise NotImplementedError()






