code: 
  
  
  
  
  
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  __A  							=  logging.get_logger(__name__)
  
  __A  							=  {
      "google/reformer-crime-and-punishment": (
          "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/config.json"
      ),
      "google/reformer-enwik8": "https://huggingface.co/google/reformer-enwik8/resolve/main/config.json",
  }
  
  
  
  class 							_A (    UpperCamelCase							):
      """simple docstring"""
  
      lowerCamelCase  :       Dict   =   'reformer'
      lowerCamelCase  :       Union[str, Any]   =   ['past_buckets_states']
      lowerCamelCase  :       Union[str, Any]   =   {}
  
  
  
      def __init__(							self			:    List[Any]   ,    __SCREAMING_SNAKE_CASE			:    List[Any]=64   ,    __SCREAMING_SNAKE_CASE			:    Optional[int]=["local", "lsh", "local", "lsh", "local", "lsh"]   ,    __SCREAMING_SNAKE_CASE			:    Optional[int]=1.0   ,    __SCREAMING_SNAKE_CASE			:    List[Any]=True   ,    __SCREAMING_SNAKE_CASE			:    str=[64, 64]   ,    __SCREAMING_SNAKE_CASE			:    str=[64, 192]   ,    __SCREAMING_SNAKE_CASE			:    List[str]=0   ,    __SCREAMING_SNAKE_CASE			:    int=2   ,    __SCREAMING_SNAKE_CASE			:    int=512   ,    __SCREAMING_SNAKE_CASE			:    Optional[int]=None   ,    __SCREAMING_SNAKE_CASE			:    Dict="relu"   ,    __SCREAMING_SNAKE_CASE			:    Tuple=0.05   ,    __SCREAMING_SNAKE_CASE			:    List[str]=256   ,    __SCREAMING_SNAKE_CASE			:    str=0.02   ,    __SCREAMING_SNAKE_CASE			:    Any=False   ,    __SCREAMING_SNAKE_CASE			:    str=1e-12   ,    __SCREAMING_SNAKE_CASE			:    int=1   ,    __SCREAMING_SNAKE_CASE			:    List[Any]=0   ,    __SCREAMING_SNAKE_CASE			:    Optional[Any]=0.05   ,    __SCREAMING_SNAKE_CASE			:    List[Any]=64   ,    __SCREAMING_SNAKE_CASE			:    Tuple=64   ,    __SCREAMING_SNAKE_CASE			:    str=0.0   ,    __SCREAMING_SNAKE_CASE			:    Optional[Any]=1   ,    __SCREAMING_SNAKE_CASE			:    Any=0   ,    __SCREAMING_SNAKE_CASE			:    Optional[int]=4096   ,    __SCREAMING_SNAKE_CASE			:    Optional[int]=12   ,    __SCREAMING_SNAKE_CASE			:    Any=None   ,    __SCREAMING_SNAKE_CASE			:    Tuple=1   ,    __SCREAMING_SNAKE_CASE			:    Optional[int]=0   ,    __SCREAMING_SNAKE_CASE			:    List[str]=320   ,    __SCREAMING_SNAKE_CASE			:    Tuple=False   ,    __SCREAMING_SNAKE_CASE			:    Any=True   ,    __SCREAMING_SNAKE_CASE			:    List[Any]=None   ,    **__SCREAMING_SNAKE_CASE			:    Any   ,    )			->       str:
             __UpperCAmelCase    							=hash_seed
             __UpperCAmelCase    							=vocab_size
             __UpperCAmelCase    							=attention_head_size
             __UpperCAmelCase    							=hidden_size
             __UpperCAmelCase    							=num_attention_heads
             __UpperCAmelCase    							=num_hashes
             __UpperCAmelCase    							=len(__SCREAMING_SNAKE_CASE			)
             __UpperCAmelCase    							=tuple(__SCREAMING_SNAKE_CASE			) if isinstance(__SCREAMING_SNAKE_CASE   ,    __SCREAMING_SNAKE_CASE			) else num_buckets
             __UpperCAmelCase    							=lsh_attn_chunk_length
             __UpperCAmelCase    							=local_attn_chunk_length
             __UpperCAmelCase    							=lsh_num_chunks_after
             __UpperCAmelCase    							=lsh_num_chunks_before
             __UpperCAmelCase    							=local_num_chunks_after
             __UpperCAmelCase    							=local_num_chunks_before
             __UpperCAmelCase    							=hidden_act
             __UpperCAmelCase    							=feed_forward_size
             __UpperCAmelCase    							=hidden_dropout_prob
             __UpperCAmelCase    							=lsh_attention_probs_dropout_prob
             __UpperCAmelCase    							=local_attention_probs_dropout_prob
             __UpperCAmelCase    							=max_position_embeddings
             __UpperCAmelCase    							=initializer_range
             __UpperCAmelCase    							=layer_norm_eps
             __UpperCAmelCase    							=axial_pos_embds
             __UpperCAmelCase    							=tuple(__SCREAMING_SNAKE_CASE			)
             __UpperCAmelCase    							=tuple(__SCREAMING_SNAKE_CASE			)
             __UpperCAmelCase    							=axial_norm_std
             __UpperCAmelCase    							=chunk_size_lm_head
             __UpperCAmelCase    							=attn_layers
             __UpperCAmelCase    							=use_cache
             __UpperCAmelCase    							=classifier_dropout
             super().__init__(
                 pad_token_id=__SCREAMING_SNAKE_CASE   ,    eos_token_id=__SCREAMING_SNAKE_CASE   ,    is_decoder=__SCREAMING_SNAKE_CASE   ,    tie_word_embeddings=__SCREAMING_SNAKE_CASE   ,    **__SCREAMING_SNAKE_CASE   ,    )
  
  
  
  
  
style_context: 
  
  
  
  
  
  
  __A  							=  [0.485, 0.456, 0.406]
  __A  							=  [0.229, 0.224, 0.225]
  __A  							=  [0.5, 0.5, 0.5]
  __A  							=  [0.5, 0.5, 0.5]
  __A  							=  [0.4814_5466, 0.457_8275, 0.4082_1073]
  __A  							=  [0.2686_2954, 0.2613_0258, 0.2757_7711]
  
  
  
  
  