code: 
  
  import json
  from typing import List, Optional, Tuple
  
  from tokenizers import normalizers
  
  from ...tokenization_utils import AddedToken
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import logging
  from .tokenization_mpnet import MPNetTokenizer
  
  
  A_		:			Optional[Any]										=   logging.get_logger(__name__)
  
  A_		:			Optional[Any]										=   {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}
  
  A_		:			int										=   {
      'vocab_file': {
          'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt',
      },
      'tokenizer_file': {
          'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json',
      },
  }
  
  A_		:			int										=   {
      'microsoft/mpnet-base': 512,
  }
  
  A_		:			int										=   {
      'microsoft/mpnet-base': {'do_lower_case': True},
  }
  class 					A_   (      _a						):
  
  
      '''simple docstring'''
  
  
  
  
  
  
      a__     							=       VOCAB_FILES_NAMES
      a__     							=       PRETRAINED_VOCAB_FILES_MAP
      a__     							=       PRETRAINED_INIT_CONFIGURATION
      a__     							=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      a__     							=       MPNetTokenizer
      a__     							=       ["input_ids", "attention_mask"]
  
  
      def __init__(self     ,      lowercase__=None     ,      lowercase__=None     ,      lowercase__=True     ,      lowercase__="<s>"     ,      lowercase__="</s>"     ,      lowercase__="</s>"     ,      lowercase__="<s>"     ,      lowercase__="[UNK]"     ,      lowercase__="<pad>"     ,      lowercase__="<mask>"     ,      lowercase__=True     ,      lowercase__=None     ,      **lowercase__     ,      )     ->      int:
          super().__init__(
              lowercase__     ,      tokenizer_file=lowercase__     ,      do_lower_case=lowercase__     ,      bos_token=lowercase__     ,      eos_token=lowercase__     ,      sep_token=lowercase__     ,      cls_token=lowercase__     ,      unk_token=lowercase__     ,      pad_token=lowercase__     ,      mask_token=lowercase__     ,      tokenize_chinese_chars=lowercase__     ,      strip_accents=lowercase__     ,      **lowercase__     ,      )
  
          __UpperCAmelCase									=			json.loads(self.backend_tokenizer.normalizer.__getstate__()  )
          if (
              pre_tok_state.get('''lowercase'''     ,      lowercase__  ) != do_lower_case
              or pre_tok_state.get('''strip_accents'''     ,      lowercase__  ) != strip_accents
          ):
              __UpperCAmelCase									=			getattr(lowercase__     ,      pre_tok_state.pop('''type'''  )  )
              __UpperCAmelCase									=			do_lower_case
              __UpperCAmelCase									=			strip_accents
              __UpperCAmelCase									=			pre_tok_class(**lowercase__  )
  
          __UpperCAmelCase									=			do_lower_case
  
  
      @property
      def      lowerCAmelCase_						(self  )     ->      str:
          if self._mask_token is None:
              if self.verbose:
                  logger.error('''Using mask_token, but it is not set yet.'''  )
              return None
          return str(self._mask_token  )
  
  
      @mask_token.setter
      def      lowerCAmelCase_						(self     ,      lowercase__  )     ->      Any:
          __UpperCAmelCase									=			AddedToken(lowercase__     ,      lstrip=lowercase__     ,      rstrip=lowercase__  ) if isinstance(lowercase__     ,      lowercase__  ) else value
          __UpperCAmelCase									=			value
  
  
      def      lowerCAmelCase_						(self     ,      lowercase__     ,      lowercase__=None  )     ->      str:
          __UpperCAmelCase									=			[self.bos_token_id] + token_ids_a + [self.eos_token_id]
          if token_ids_a is None:
              return output
  
          return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]
  
  
      def      lowerCAmelCase_						(self     ,      lowercase__     ,      lowercase__ = None  )     ->      List[int]:
          __UpperCAmelCase									=			[self.sep_token_id]
          __UpperCAmelCase									=			[self.cls_token_id]
  
          if token_ids_a is None:
              return len(cls + token_ids_a + sep  ) * [0]
          return len(cls + token_ids_a + sep + sep + token_ids_a + sep  ) * [0]
  
  
  
  
  
  
      def      lowerCAmelCase_						(self     ,      lowercase__     ,      lowercase__ = None  )     ->      Tuple[str]:
          __UpperCAmelCase									=			self._tokenizer.model.save(lowercase__     ,      name=lowercase__  )
          return tuple(lowercase__  )
  
  
  
  
  
style_context: 
  
  import copy
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  from ..auto.configuration_auto import AutoConfig
  
  
  A_		:			int										=   logging.get_logger(__name__)
  class 					A_   (      _a						):
  
  
      '''simple docstring'''
  
  
  
  
  
  
      a__     							=       "speech-encoder-decoder"
      a__     							=       True
  
  
      def __init__(self     ,      **lowercase__  )     ->      Optional[int]:
          super().__init__(**lowercase__  )
          if "encoder" not in kwargs or "decoder" not in kwargs:
              raise ValueError(
                  F'''A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and'''
                  F''' `decoder` sub-configurations are passed, but only {kwargs}'''  )
  
          __UpperCAmelCase									=			kwargs.pop('''encoder'''  )
          __UpperCAmelCase									=			encoder_config.pop('''model_type'''  )
          __UpperCAmelCase									=			kwargs.pop('''decoder'''  )
          __UpperCAmelCase									=			decoder_config.pop('''model_type'''  )
  
          __UpperCAmelCase									=			AutoConfig.for_model(lowercase__     ,      **lowercase__  )
          __UpperCAmelCase									=			AutoConfig.for_model(lowercase__     ,      **lowercase__  )
          __UpperCAmelCase									=			True
  
  
      @classmethod
      def      lowerCAmelCase_						(cls     ,      lowercase__     ,      lowercase__     ,      **lowercase__  )     ->      PretrainedConfig:
          logger.info('''Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''  )
          __UpperCAmelCase									=			True
          __UpperCAmelCase									=			True
  
          return cls(encoder=encoder_config.to_dict()     ,      decoder=decoder_config.to_dict()     ,      **lowercase__  )
  
  
  
  
  
  
      def      lowerCAmelCase_						(self  )     ->      Optional[Any]:
          __UpperCAmelCase									=			copy.deepcopy(self.__dict__  )
          __UpperCAmelCase									=			self.encoder.to_dict()
          __UpperCAmelCase									=			self.decoder.to_dict()
          __UpperCAmelCase									=			self.__class__.model_type
          return output
  
  
  
  
  