





from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE_      :			str		  =      logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_      :			List[Any]		  =      {
    '''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 		snake_case_      (       UpperCAmelCase_	):







	'''simple docstring'''
	__UpperCamelCase        =		'''splinter'''




	def __init__(	self       :    List[Any]				,			__lowerCamelCase       :    int=30_522				,			__lowerCamelCase       :    Any=768				,			__lowerCamelCase       :    List[Any]=12				,			__lowerCamelCase       :    int=12				,			__lowerCamelCase       :    List[str]=3_072				,			__lowerCamelCase       :    Any="gelu"				,			__lowerCamelCase       :    Dict=0.1				,			__lowerCamelCase       :    Tuple=0.1				,			__lowerCamelCase       :    Dict=512				,			__lowerCamelCase       :    str=2				,			__lowerCamelCase       :    Optional[Any]=0.02				,			__lowerCamelCase       :    int=1E-1_2				,			__lowerCamelCase       :    Any=True				,			__lowerCamelCase       :    Any=0				,			__lowerCamelCase       :    Optional[int]=104				,			**__lowerCamelCase       :    List[Any]				,			)					->   str:

			'''simple docstring'''




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

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











from __future__ import annotations



def    SCREAMING_SNAKE_CASE							(			snake_case	,      snake_case	,      snake_case	,      snake_case       )		->						None:
		__lowercase	,			__lowercase					=    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    SCREAMING_SNAKE_CASE							(			)		->						None:
		__lowercase					=    [[2, 5, 7], [4, 8, 13], [9, 11, 15], [12, 17, 20]]
		__lowercase					=    int(input('Enter the element to be searched:'       )       )
		print(snake_case       )
		search_in_a_sorted_matrix(snake_case	,      len(snake_case       )	,      len(mat[0]       )	,      snake_case       )


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()




