





"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


__UpperCamelCase			:		str		    =   logging.get_logger(__name__)

__UpperCamelCase			:		Dict		    =   {
    '''tau/splinter-base''': '''https://huggingface.co/tau/splinter-base/resolve/main/config.json''',
    '''tau/splinter-base-qass''': '''https://huggingface.co/tau/splinter-base-qass/resolve/main/config.json''',
    '''tau/splinter-large''': '''https://huggingface.co/tau/splinter-large/resolve/main/config.json''',
    '''tau/splinter-large-qass''': '''https://huggingface.co/tau/splinter-large-qass/resolve/main/config.json''',
    # See all Splinter models at https://huggingface.co/models?filter=splinter
}







class 	a				(					a__   ):
 snake_case__    	=    '''splinter'''



 def __init__(			self							,    _snake_case=3_05_22							,    _snake_case=7_68							,    _snake_case=12							,    _snake_case=12							,    _snake_case=30_72							,    _snake_case="gelu"							,    _snake_case=0.1							,    _snake_case=0.1							,    _snake_case=5_12							,    _snake_case=2							,    _snake_case=0.02							,    _snake_case=1E-12							,    _snake_case=True							,    _snake_case=0							,    _snake_case=1_04							,    **_snake_case							,    ):







  """simple docstring"""






  super().__init__(pad_token_id=_snake_case							,    **_snake_case			)

  lowerCAmelCase  							=      vocab_size
  lowerCAmelCase  							=      max_position_embeddings
  lowerCAmelCase  							=      hidden_size
  lowerCAmelCase  							=      num_hidden_layers
  lowerCAmelCase  							=      num_attention_heads
  lowerCAmelCase  							=      intermediate_size
  lowerCAmelCase  							=      hidden_act
  lowerCAmelCase  							=      hidden_dropout_prob
  lowerCAmelCase  							=      attention_probs_dropout_prob
  lowerCAmelCase  							=      initializer_range
  lowerCAmelCase  							=      type_vocab_size
  lowerCAmelCase  							=      layer_norm_eps
  lowerCAmelCase  							=      use_cache
  lowerCAmelCase  							=      question_token_id









from __future__ import annotations
def       UpperCamelCase__     (  SCREAMING_SNAKE_CASE__			,       SCREAMING_SNAKE_CASE__			,       SCREAMING_SNAKE_CASE__			,       SCREAMING_SNAKE_CASE__						):
 __lowerCamelCase					,     __lowerCamelCase		:							str							=						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       UpperCamelCase__     (  ):
 __lowerCamelCase		:							List[Any]							=						[[2, 5, 7], [4, 8, 13], [9, 11, 15], [12, 17, 20]]
 __lowerCamelCase		:							int							=						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()

