code: 
  
  from typing import Dict, List, Optional, Tuple
  
  from ...tokenization_utils import AddedToken, PreTrainedTokenizer
  from ...utils import logging
  
  
  A_		:			int										=   logging.get_logger(__name__)
  class 					A_   (      lowerCAmelCase_						):
  
  
      '''simple docstring'''
  
  
  
  
  
  
      a__     							=       ['input_ids', 'attention_mask']
  
  
      def __init__(self     ,      lowercase__="[PAD]"     ,      lowercase__="[BOS]"     ,      lowercase__="[EOS]"     ,      lowercase__="[MASK]"     ,      lowercase__="[CLS]"     ,      lowercase__="[SEP]"     ,      lowercase__=2_048     ,      **lowercase__     ,      )     ->      List[Any]:
          __UpperCAmelCase									=			AddedToken(lowerCamelCase_     ,      lstrip=lowerCamelCase_     ,      rstrip=lowerCamelCase_  ) if isinstance(lowerCamelCase_     ,      lowerCamelCase_  ) else pad_token
          __UpperCAmelCase									=			AddedToken(lowerCamelCase_     ,      lstrip=lowerCamelCase_     ,      rstrip=lowerCamelCase_  ) if isinstance(lowerCamelCase_     ,      lowerCamelCase_  ) else bos_token
          __UpperCAmelCase									=			AddedToken(lowerCamelCase_     ,      lstrip=lowerCamelCase_     ,      rstrip=lowerCamelCase_  ) if isinstance(lowerCamelCase_     ,      lowerCamelCase_  ) else eos_token
          __UpperCAmelCase									=			AddedToken(lowerCamelCase_     ,      lstrip=lowerCamelCase_     ,      rstrip=lowerCamelCase_  ) if isinstance(lowerCamelCase_     ,      lowerCamelCase_  ) else mask_token
          __UpperCAmelCase									=			AddedToken(lowerCamelCase_     ,      lstrip=lowerCamelCase_     ,      rstrip=lowerCamelCase_  ) if isinstance(lowerCamelCase_     ,      lowerCamelCase_  ) else cls_token
          __UpperCAmelCase									=			AddedToken(lowerCamelCase_     ,      lstrip=lowerCamelCase_     ,      rstrip=lowerCamelCase_  ) if isinstance(lowerCamelCase_     ,      lowerCamelCase_  ) else sep_token
  
          super().__init__(
              pad_token=lowerCamelCase_     ,      bos_token=lowerCamelCase_     ,      eos_token=lowerCamelCase_     ,      mask_token=lowerCamelCase_     ,      cls_token=lowerCamelCase_     ,      sep_token=lowerCamelCase_     ,      model_max_length=lowerCamelCase_     ,      **lowerCamelCase_     ,      )
  
          __UpperCAmelCase									=			2**8  # utf is 8 bits
  
          # define special tokens dict
          __UpperCAmelCase									=			{
              self.pad_token: 0,
              self.bos_token: 1,
              self.eos_token: 2,
              self.mask_token: 3,
              self.cls_token: 4,
              self.sep_token: 5,
          }
          __UpperCAmelCase									=			len(self.special_tokens_encoder  )
          __UpperCAmelCase									=			{v: k for k, v in self.special_tokens_encoder.items()}
  
  
      def      lowerCAmelCase_						(self  )     ->      Tuple:
          __UpperCAmelCase									=			self.special_tokens_encoder.copy()
          vocab.update(self.added_tokens_encoder  )
          for i in range(self._utf_vocab_size  ):
              __UpperCAmelCase									=			chr(lowerCamelCase_  )
              __UpperCAmelCase									=			i + len(self.special_tokens_encoder  )
          return vocab
  
  
      @property
      def      lowerCAmelCase_						(self  )     ->      str:
          return self._utf_vocab_size + self._num_special_tokens
  
  
      def      lowerCAmelCase_						(self     ,      lowercase__     ,      lowercase__ = None     ,      lowercase__ = False  )     ->      int:
  
          if already_has_special_tokens:
              return super().get_special_tokens_mask(
                  token_ids_a=lowerCamelCase_     ,      token_ids_a=lowerCamelCase_     ,      already_has_special_tokens=lowerCamelCase_  )
  
          # normal case: some special tokens
          if token_ids_a is None:
              return [1] + [0] * len(lowerCamelCase_  ) + [1]
          return [1] + ([0] * len(lowerCamelCase_  )) + [1] + ([0] * len(lowerCamelCase_  )) + [1]
  
  
      def      lowerCAmelCase_						(self     ,      lowercase__     ,      lowercase__ = None  )     ->      Any:
  
          if token_ids_a is None:
              return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
          else:
              return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]
  
  
      def      lowerCAmelCase_						(self     ,      lowercase__  )     ->      Union[str, Any]:
          __UpperCAmelCase									=			[chr(lowerCamelCase_  ) for i in text.encode('''utf-8'''  )]
          return tokens
  
  
      def      lowerCAmelCase_						(self     ,      lowercase__  )     ->      Optional[Any]:
  
          if token in self.special_tokens_encoder:
              __UpperCAmelCase									=			self.special_tokens_encoder[token]
          elif token in self.added_tokens_encoder:
              __UpperCAmelCase									=			self.added_tokens_encoder[token]
          elif len(lowerCamelCase_  ) != 1:
              __UpperCAmelCase									=			self.unk_token_id
          else:
              __UpperCAmelCase									=			ord(lowerCamelCase_  ) + self._num_special_tokens
          return token_id
  
  
      def      lowerCAmelCase_						(self     ,      lowercase__  )     ->      Tuple:
  
          if index in self.special_tokens_decoder:
              __UpperCAmelCase									=			self.special_tokens_decoder[index]
          elif index in self.added_tokens_decoder:
              __UpperCAmelCase									=			self.added_tokens_decoder[index]
          else:
              __UpperCAmelCase									=			chr(index - self._num_special_tokens  )
          return token
  
  
      def      lowerCAmelCase_						(self     ,      lowercase__  )     ->      Optional[Any]:
          __UpperCAmelCase									=			B''''''
          for token in tokens:
              if token in self.special_tokens_decoder:
                  __UpperCAmelCase									=			self.special_tokens_decoder[token].encode('''utf-8'''  )
              elif token in self.added_tokens_decoder:
                  __UpperCAmelCase									=			self.special_tokens_decoder[token].encode('''utf-8'''  )
              elif token in self.special_tokens_encoder:
                  __UpperCAmelCase									=			token.encode('''utf-8'''  )
              elif token in self.added_tokens_encoder:
                  __UpperCAmelCase									=			token.encode('''utf-8'''  )
              else:
                  __UpperCAmelCase									=			bytes([ord(lowerCamelCase_  )]  )
              bstring += tok_string
          __UpperCAmelCase									=			bstring.decode('''utf-8'''     ,      errors='''replace'''  )
          return string
  
  
  
  
  
  
      def      lowerCAmelCase_						(self     ,      lowercase__     ,      lowercase__ = None  )     ->      Optional[int]:
          return ()
  
  
  
  
  
  
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
  
  
  
  
  