code: 
  
  
  
  
  
  '''simple docstring'''
  
  
  
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  a__				: Any									=    logging.get_logger(__name__)
  
  a__				: Optional[Any]									=    {
      '''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 							__snake_case    (				__magic_name__       ):
  	__lowerCAmelCase						=     '''reformer'''
  	__lowerCAmelCase						=     ['''past_buckets_states''']
  	__lowerCAmelCase						=     {}
  
  
  
  
  
  	def __init__(		self			,					UpperCamelCase_=64			,					UpperCamelCase_=["local", "lsh", "local", "lsh", "local", "lsh"]			,					UpperCamelCase_=1.0			,					UpperCamelCase_=True			,					UpperCamelCase_=[64, 64]			,					UpperCamelCase_=[64, 192]			,					UpperCamelCase_=0			,					UpperCamelCase_=2			,					UpperCamelCase_=512			,					UpperCamelCase_=None			,					UpperCamelCase_="relu"			,					UpperCamelCase_=0.0_5			,					UpperCamelCase_=256			,					UpperCamelCase_=0.0_2			,					UpperCamelCase_=False			,					UpperCamelCase_=1E-1_2			,					UpperCamelCase_=1			,					UpperCamelCase_=0			,					UpperCamelCase_=0.0_5			,					UpperCamelCase_=64			,					UpperCamelCase_=64			,					UpperCamelCase_=0.0			,					UpperCamelCase_=1			,					UpperCamelCase_=0			,					UpperCamelCase_=4096			,					UpperCamelCase_=12			,					UpperCamelCase_=None			,					UpperCamelCase_=1			,					UpperCamelCase_=0			,					UpperCamelCase_=320			,					UpperCamelCase_=False			,					UpperCamelCase_=True			,					UpperCamelCase_=None			,					**UpperCamelCase_			,					)			->		Union[str, Any]:
  		snake_case__  					=      hash_seed
  		snake_case__  					=      vocab_size
  		snake_case__  					=      attention_head_size
  		snake_case__  					=      hidden_size
  		snake_case__  					=      num_attention_heads
  		snake_case__  					=      num_hashes
  		snake_case__  					=      len(UpperCamelCase_		)
  		snake_case__  					=      tuple(UpperCamelCase_		) if isinstance(UpperCamelCase_			,					UpperCamelCase_		) else num_buckets
  		snake_case__  					=      lsh_attn_chunk_length
  		snake_case__  					=      local_attn_chunk_length
  		snake_case__  					=      lsh_num_chunks_after
  		snake_case__  					=      lsh_num_chunks_before
  		snake_case__  					=      local_num_chunks_after
  		snake_case__  					=      local_num_chunks_before
  		snake_case__  					=      hidden_act
  		snake_case__  					=      feed_forward_size
  		snake_case__  					=      hidden_dropout_prob
  		snake_case__  					=      lsh_attention_probs_dropout_prob
  		snake_case__  					=      local_attention_probs_dropout_prob
  		snake_case__  					=      max_position_embeddings
  		snake_case__  					=      initializer_range
  		snake_case__  					=      layer_norm_eps
  		snake_case__  					=      axial_pos_embds
  		snake_case__  					=      tuple(UpperCamelCase_		)
  		snake_case__  					=      tuple(UpperCamelCase_		)
  		snake_case__  					=      axial_norm_std
  		snake_case__  					=      chunk_size_lm_head
  		snake_case__  					=      attn_layers
  		snake_case__  					=      use_cache
  		snake_case__  					=      classifier_dropout
  		super().__init__(
  		    pad_token_id=UpperCamelCase_			,					eos_token_id=UpperCamelCase_			,					is_decoder=UpperCamelCase_			,					tie_word_embeddings=UpperCamelCase_			,					**UpperCamelCase_			,					)
  
  
  
  
style_context: 
  
  
  
  
  
  '''simple docstring'''
  
  
  
  
  from typing import Callable
  
  
  
  
  def 	__lowerCamelCase (  UpperCAmelCase_       )      ->str:
  
  	def wrapper(UpperCAmelCase_       ):
  		snake_case__  					=      function_with_docstring.__doc__
  		return target_function
  
  	return wrapper
  
  
  
  