


'''simple docstring'''



from __future__ import annotations






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   list[list[int]]   ):
					__a			:       Optional[int]					    =  len(_SCREAMING_SNAKE_CASE   )
					# We need to create solution object to save path.
					__a			:       Optional[Any]					    =  [[0 for _ in range(_SCREAMING_SNAKE_CASE   )] for _ in range(_SCREAMING_SNAKE_CASE   )]
					__a			:       Optional[int]					    =  run_maze(_SCREAMING_SNAKE_CASE						,      0						,      0						,      _SCREAMING_SNAKE_CASE   )
					if solved:
										print('\n'.join(str(_SCREAMING_SNAKE_CASE   ) for row in solutions   )   )
					else:
										print('No solution exists!'   )
					return solved






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   list[list[int]]						,      _SCREAMING_SNAKE_CASE      :   int						,      _SCREAMING_SNAKE_CASE      :   int						,      _SCREAMING_SNAKE_CASE      :   list[list[int]]   ):
					__a			:       Any					    =  len(_SCREAMING_SNAKE_CASE   )
					# Final check point.
					if i == j == (size - 1):
										__a			:       Optional[int]					    =  1
										return True

					__a			:       Tuple					    =  (not i < 0) and (not j < 0)  # Check lower bounds
					__a			:       str					    =  (i < size) and (j < size)  # Check upper bounds

					if lower_flag and upper_flag:
										# check for already visited and block points.
										__a			:       Optional[Any]					    =  (not solutions[i][j]) and (not maze[i][j])
										if block_flag:
															# check visited
															__a			:       List[str]					    =  1

															# check for directions
															if (
															    run_maze(_SCREAMING_SNAKE_CASE						,      i + 1						,      _SCREAMING_SNAKE_CASE						,      _SCREAMING_SNAKE_CASE   )
															    or run_maze(_SCREAMING_SNAKE_CASE						,      _SCREAMING_SNAKE_CASE						,      j + 1						,      _SCREAMING_SNAKE_CASE   )
															    or run_maze(_SCREAMING_SNAKE_CASE						,      i - 1						,      _SCREAMING_SNAKE_CASE						,      _SCREAMING_SNAKE_CASE   )
															    or run_maze(_SCREAMING_SNAKE_CASE						,      _SCREAMING_SNAKE_CASE						,      j - 1						,      _SCREAMING_SNAKE_CASE   )
															):
																				return True

															__a			:       Dict					    =  0
															return False
					return False


if __name__ == "__main__":
	import doctest

	doctest.testmod()




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


lowercase__					       =	logging.get_logger(__name__)

lowercase__					       =	{
    'MIT/ast-finetuned-audioset-10-10-0.4593': (
        'https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593/resolve/main/config.json'
    ),
}




class    __snake_case       (     __lowerCAmelCase				):
      a__        =		"""audio-spectrogram-transformer"""



      def __init__(						self    ,			lowercase=7_68    ,			lowercase=12    ,			lowercase=12    ,			lowercase=30_72    ,			lowercase="gelu"    ,			lowercase=0.0    ,			lowercase=0.0    ,			lowercase=0.02    ,			lowercase=1e-12    ,			lowercase=16    ,			lowercase=True    ,			lowercase=10    ,			lowercase=10    ,			lowercase=10_24    ,			lowercase=1_28    ,			**lowercase    ,			)	->			str:





        '''simple docstring'''





        super().__init__(**lowercase)

        a__:     Any										=	hidden_size
        a__:     int										=	num_hidden_layers
        a__:     Union[str, Any]										=	num_attention_heads
        a__:     Any										=	intermediate_size
        a__:     Union[str, Any]										=	hidden_act
        a__:     int										=	hidden_dropout_prob
        a__:     str										=	attention_probs_dropout_prob
        a__:     str										=	initializer_range
        a__:     Tuple										=	layer_norm_eps
        a__:     Any										=	patch_size
        a__:     int										=	qkv_bias
        a__:     Optional[Any]										=	frequency_stride
        a__:     int										=	time_stride
        a__:     List[str]										=	max_length
        a__:     Tuple										=	num_mel_bins


