





'''simple docstring'''




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


__UpperCAmelCase         =   logging.get_logger(__name__)

__UpperCAmelCase         =   {
    """ZinengTang/tvlt-base""": """https://huggingface.co/ZinengTang/tvlt-base/blob/main/config.json""",
}




class       UpperCamelCase__			(			lowercase_	):




     """simple docstring"""
     SCREAMING_SNAKE_CASE__						=					'''tvlt'''


     def __init__(		self							:	Optional[Any]     ,		lowerCamelCase_							:	Tuple=2_24     ,		lowerCamelCase_							:	List[str]=20_48     ,		lowerCamelCase_							:	str=1_28     ,		lowerCamelCase_							:	Dict=[16, 16]     ,		lowerCamelCase_							:	Tuple=[16, 16]     ,		lowerCamelCase_							:	Tuple=3     ,		lowerCamelCase_							:	Optional[Any]=1     ,		lowerCamelCase_							:	Union[str, Any]=8     ,		lowerCamelCase_							:	Any=7_68     ,		lowerCamelCase_							:	str=12     ,		lowerCamelCase_							:	List[str]=12     ,		lowerCamelCase_							:	int=30_72     ,		lowerCamelCase_							:	List[Any]="gelu"     ,		lowerCamelCase_							:	str=0.0     ,		lowerCamelCase_							:	Any=0.0     ,		lowerCamelCase_							:	Optional[int]=0.02     ,		lowerCamelCase_							:	List[Any]=1e-6     ,		lowerCamelCase_							:	Tuple=True     ,		lowerCamelCase_							:	Optional[Any]=False     ,		lowerCamelCase_							:	Optional[Any]=16     ,		lowerCamelCase_							:	Optional[int]=5_12     ,		lowerCamelCase_							:	Tuple=8     ,		lowerCamelCase_							:	Optional[Any]=20_48     ,		lowerCamelCase_							:	Any=0.75     ,		lowerCamelCase_							:	List[str]=0.15     ,		lowerCamelCase_							:	Union[str, Any]="frame-level"     ,		lowerCamelCase_							:	Any=True     ,		lowerCamelCase_							:	List[str]=True     ,		lowerCamelCase_							:	Any="classification"     ,		**lowerCamelCase_							:	List[str]     ,		):

       '''simple docstring'''



       super().__init__(**lowerCamelCase_		)

       if audio_mask_type not in ("frame-level", "patch_level"):
         raise ValueError(
             """audio_mask_type must be one of two acceptable strategies - {'frame_level', 'patch-level') """
             f'''got {audio_mask_type}'''		)

       SCREAMING_SNAKE_CASE				:							Any						=	image_size
       SCREAMING_SNAKE_CASE				:							Tuple						=	spectrogram_length
       SCREAMING_SNAKE_CASE				:							Dict						=	frequency_length
       SCREAMING_SNAKE_CASE				:							Tuple						=	image_patch_size
       SCREAMING_SNAKE_CASE				:							Tuple						=	audio_patch_size
       SCREAMING_SNAKE_CASE				:							str						=	num_image_channels
       SCREAMING_SNAKE_CASE				:							Any						=	num_audio_channels
       SCREAMING_SNAKE_CASE				:							Optional[Any]						=	num_frames

       SCREAMING_SNAKE_CASE				:							Optional[Any]						=	hidden_size
       SCREAMING_SNAKE_CASE				:							Optional[int]						=	num_hidden_layers
       SCREAMING_SNAKE_CASE				:							int						=	num_attention_heads
       SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	intermediate_size
       SCREAMING_SNAKE_CASE				:							str						=	hidden_act
       SCREAMING_SNAKE_CASE				:							str						=	hidden_dropout_prob
       SCREAMING_SNAKE_CASE				:							Dict						=	attention_probs_dropout_prob
       SCREAMING_SNAKE_CASE				:							Dict						=	initializer_range
       SCREAMING_SNAKE_CASE				:							Any						=	layer_norm_eps
       SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	qkv_bias
       SCREAMING_SNAKE_CASE				:							int						=	use_mean_pooling

       SCREAMING_SNAKE_CASE				:							List[Any]						=	decoder_num_attention_heads
       SCREAMING_SNAKE_CASE				:							Optional[Any]						=	decoder_hidden_size
       SCREAMING_SNAKE_CASE				:							Optional[Any]						=	decoder_num_hidden_layers
       SCREAMING_SNAKE_CASE				:							Optional[int]						=	decoder_intermediate_size
       SCREAMING_SNAKE_CASE				:							Tuple						=	pixel_mask_ratio
       SCREAMING_SNAKE_CASE				:							Dict						=	audio_mask_ratio
       SCREAMING_SNAKE_CASE				:							Any						=	audio_mask_type

       SCREAMING_SNAKE_CASE				:							int						=	task_matching
       SCREAMING_SNAKE_CASE				:							Dict						=	task_mae
       SCREAMING_SNAKE_CASE				:							Tuple						=	loss_type










'''simple docstring'''




from __future__ import annotations



def 						__A						(       lowerCamelCase_	,	lowerCamelCase_	,	lowerCamelCase_	,	lowerCamelCase_					):


		"""simple docstring"""



		SCREAMING_SNAKE_CASE,    SCREAMING_SNAKE_CASE				:							List[Any]						=	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 						__A						(       ):


		"""simple docstring"""



		SCREAMING_SNAKE_CASE				:							Optional[Any]						=	[[2, 5, 7], [4, 8, 13], [9, 11, 15], [12, 17, 20]]
		SCREAMING_SNAKE_CASE				:							Dict						=	int(input("""Enter the element to be searched:"""					)					)
		print(lowerCamelCase_					)
		search_in_a_sorted_matrix(lowerCamelCase_	,	len(lowerCamelCase_					)	,	len(mat[0]					)	,	lowerCamelCase_					)


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							main()



