code: 
  
  
  
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  SCREAMING_SNAKE_CASE__    :    Union[str, Any]								=					logging.get_logger(__name__)
  
  SCREAMING_SNAKE_CASE__    :    Dict								=					{
      "uw-madison/yoso-4096": "https://huggingface.co/uw-madison/yoso-4096/resolve/main/config.json",
      # See all YOSO models at https://huggingface.co/models?filter=yoso
  }
  
  
  
  class 			a_					(    SCREAMING_SNAKE_CASE__    ):
   A						       =   '''yoso'''
  
  
  
  
  
   def __init__(       self			,    SCREAMING_SNAKE_CASE=5_0265			,    SCREAMING_SNAKE_CASE=768			,    SCREAMING_SNAKE_CASE=12			,    SCREAMING_SNAKE_CASE=12			,    SCREAMING_SNAKE_CASE=3072			,    SCREAMING_SNAKE_CASE="gelu"			,    SCREAMING_SNAKE_CASE=0.1			,    SCREAMING_SNAKE_CASE=0.1			,    SCREAMING_SNAKE_CASE=4096			,    SCREAMING_SNAKE_CASE=1			,    SCREAMING_SNAKE_CASE=0.0_2			,    SCREAMING_SNAKE_CASE=1e-12			,    SCREAMING_SNAKE_CASE="absolute"			,    SCREAMING_SNAKE_CASE=True			,    SCREAMING_SNAKE_CASE=9			,    SCREAMING_SNAKE_CASE=64			,    SCREAMING_SNAKE_CASE=None			,    SCREAMING_SNAKE_CASE=True			,    SCREAMING_SNAKE_CASE=True			,    SCREAMING_SNAKE_CASE=1			,    SCREAMING_SNAKE_CASE=0			,    SCREAMING_SNAKE_CASE=2			,    **SCREAMING_SNAKE_CASE			,    )     ->				int:
  
  
  
  
      """simple docstring"""
  
  
  
      super().__init__(pad_token_id=SCREAMING_SNAKE_CASE			,    bos_token_id=SCREAMING_SNAKE_CASE			,    eos_token_id=SCREAMING_SNAKE_CASE			,    **SCREAMING_SNAKE_CASE			)
  
      SCREAMING_SNAKE_CASE_			=	vocab_size
      SCREAMING_SNAKE_CASE_			=	max_position_embeddings
      SCREAMING_SNAKE_CASE_			=	hidden_size
      SCREAMING_SNAKE_CASE_			=	num_hidden_layers
      SCREAMING_SNAKE_CASE_			=	num_attention_heads
      SCREAMING_SNAKE_CASE_			=	intermediate_size
      SCREAMING_SNAKE_CASE_			=	hidden_act
      SCREAMING_SNAKE_CASE_			=	hidden_dropout_prob
      SCREAMING_SNAKE_CASE_			=	attention_probs_dropout_prob
      SCREAMING_SNAKE_CASE_			=	initializer_range
      SCREAMING_SNAKE_CASE_			=	type_vocab_size
      SCREAMING_SNAKE_CASE_			=	layer_norm_eps
      SCREAMING_SNAKE_CASE_			=	position_embedding_type
      SCREAMING_SNAKE_CASE_			=	use_expectation
      SCREAMING_SNAKE_CASE_			=	hash_code_len
      SCREAMING_SNAKE_CASE_			=	num_hash
      SCREAMING_SNAKE_CASE_			=	conv_window
      SCREAMING_SNAKE_CASE_			=	use_fast_hash
      SCREAMING_SNAKE_CASE_			=	lsh_backward
  
style_context: 
  
  
  
  
  from __future__ import annotations
  
  def lowercase						(     SCREAMING_SNAKE_CASE					,						SCREAMING_SNAKE_CASE					,						SCREAMING_SNAKE_CASE					,						SCREAMING_SNAKE_CASE   ) ->       None:
  
  
  			'''simple docstring'''
  
  
  
  
  
  
  
  			SCREAMING_SNAKE_CASE_	,		SCREAMING_SNAKE_CASE_			=	m - 1, 0
  			while i >= 0 and j < n:
  						if key == mat[i][j]:
  									print(F'Key {key} found at row- {i + 1} column- {j + 1}'   )
  									return
  						if key < mat[i][j]:
  									i -= 1
  						else:
  									j += 1
  			print(F'Key {key} not found'   )
  
  def lowercase						(     ) ->       None:
  
  
  			'''simple docstring'''
  
  
  
  
  
  
  
  			SCREAMING_SNAKE_CASE_			=	[[2, 5, 7], [4, 8, 13], [9, 11, 15], [12, 17, 20]]
  			SCREAMING_SNAKE_CASE_			=	int(input('Enter the element to be searched:'   )   )
  			print(SCREAMING_SNAKE_CASE   )
  			search_in_a_sorted_matrix(SCREAMING_SNAKE_CASE					,						len(SCREAMING_SNAKE_CASE   )					,						len(mat[0]   )					,						SCREAMING_SNAKE_CASE   )
  
  
  if __name__ == "__main__":
  				import doctest
  
  				doctest.testmod()
  				main()
  