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: 
  
  
  
  
  
  
  from __future__ import annotations
  
  __A  							=  [2, 1, 4, 5, 6, 0, 8, 9, 1, 2, 0, 6, 4, 2, 0, 6, 5, 3, 2, 7]
  
  
  
  class 							_A :
      """simple docstring"""
  
      def __init__(							self			:    List[str]   ,    __SCREAMING_SNAKE_CASE			:    int			)			->       None:
             __UpperCAmelCase    							=-1
             __UpperCAmelCase    							=-1
             __UpperCAmelCase    							=[-1] * length
             __UpperCAmelCase    							=None
             __UpperCAmelCase    							=None
  
  
  
      def __repr__(							self			:    Optional[int]			)			->       str:
             return f'''Node(min_value={self.minn} max_value={self.maxx})'''
  
  
  
  
  
  
  
  def 			lowercase__  (				A_:	list[int]		)  ->							Node | None:
  
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
         __UpperCAmelCase    							=Node(len(A_		)		)
         __UpperCAmelCase							,   __UpperCAmelCase    							=min(A_		), max(A_		)
         # Leaf node case where the node contains only one unique value
         if root.minn == root.maxx:
                return root
         __UpperCAmelCase    							=(root.minn + root.maxx) // 2
  
         __UpperCAmelCase    							=[]
         __UpperCAmelCase    							=[]
  
         for index, num in enumerate(A_		):
                if num <= pivot:
                       left_arr.append(A_		)
                else:
                       right_arr.append(A_		)
                __UpperCAmelCase    							=len(A_		)
         __UpperCAmelCase    							=build_tree(A_		)
         __UpperCAmelCase    							=build_tree(A_		)
         return root
  
  
  
  
  
  
  
  def 			lowercase__  (				A_:	Node | None     ,			A_:	int     ,			A_:	int		)  ->							int:
  
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
         if index < 0 or node is None:
                return 0
         # Leaf node cases
         if node.minn == node.maxx:
                return index + 1 if node.minn == num else 0
         __UpperCAmelCase    							=(node.minn + node.maxx) // 2
         if num <= pivot:
                # go the left subtree and map index to the left subtree
                return rank_till_index(node.left     ,			A_     ,			node.map_left[index] - 1		)
         else:
                # go to the right subtree and map index to the right subtree
                return rank_till_index(node.right     ,			A_     ,			index - node.map_left[index]		)
  
  
  
  
  
  
  
  def 			lowercase__  (				A_:	Node | None     ,			A_:	int     ,			A_:	int     ,			A_:	int		)  ->							int:
  
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
         if start > end:
                return 0
         __UpperCAmelCase    							=rank_till_index(A_     ,			A_     ,			A_		)
         __UpperCAmelCase    							=rank_till_index(A_     ,			A_     ,			start - 1		)
         return rank_till_end - rank_before_start
  
  
  
  
  
  
  
  def 			lowercase__  (				A_:	Node | None     ,			A_:	int     ,			A_:	int     ,			A_:	int		)  ->							int:
  
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
         if index > (end - start) or start > end or node is None:
                return -1
         # Leaf node case
         if node.minn == node.maxx:
                return node.minn
         # Number of elements in the left subtree in interval [start, end]
         __UpperCAmelCase    							=node.map_left[end] - (
             node.map_left[start - 1] if start else 0
         )
         if num_elements_in_left_tree > index:
                return quantile(
                    node.left     ,			A_     ,			(node.map_left[start - 1] if start else 0)     ,			node.map_left[end] - 1     ,			)
         else:
                return quantile(
                    node.right     ,			index - num_elements_in_left_tree     ,			start - (node.map_left[start - 1] if start else 0)     ,			end - node.map_left[end]     ,			)
  
  
  
  
  
  
  
  def 			lowercase__  (				A_:	Node | None     ,			A_:	int     ,			A_:	int     ,			A_:	int     ,			A_:	int		)  ->							int:
  
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
         if (
             start > end
             or node is None
             or start_num > end_num
             or node.minn > end_num
             or node.maxx < start_num
         ):
                return 0
         if start_num <= node.minn and node.maxx <= end_num:
                return end - start + 1
         __UpperCAmelCase    							=range_counting(
             node.left     ,			(node.map_left[start - 1] if start else 0)     ,			node.map_left[end] - 1     ,			A_     ,			A_     ,			)
         __UpperCAmelCase    							=range_counting(
             node.right     ,			start - (node.map_left[start - 1] if start else 0)     ,			end - node.map_left[end]     ,			A_     ,			A_     ,			)
         return left + right
  
  
  if __name__ == "__main__":
     import doctest
  
     doctest.testmod()
  
  
  
  
  