
"""simple docstring"""


from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding







class 					lowerCAmelCase_					(   _lowercase     ):



						'''simple docstring'''


						_lowerCamelCase:     List[str]   =     '''ClapFeatureExtractor'''
						_lowerCamelCase:     int   =     ('''RobertaTokenizer''', '''RobertaTokenizerFast''')


						def __init__(			self  :   Dict	,A_  :   Any	,A_  :   Dict   )  -> Tuple:
							super().__init__(A_	,A_   )


						def __call__(			self  :   Tuple	,A_  :   Any=None	,A_  :   List[str]=None	,A_  :   List[str]=None	,**A_  :   Optional[Any]   )  -> Dict:
							A     = kwargs.pop('sampling_rate'	,A_   )

							if text is None and audios is None:
								raise ValueError('You have to specify either text or audios. Both cannot be none.'   )

							if text is not None:
								A     = self.tokenizer(A_	,return_tensors=A_	,**A_   )

							if audios is not None:
								A     = self.feature_extractor(
								    A_	,sampling_rate=A_	,return_tensors=A_	,**A_   )

							if text is not None and audios is not None:
								A     = audio_features.input_features
								return encoding
							elif text is not None:
								return encoding
							else:
								return BatchEncoding(data=dict(**A_   )	,tensor_type=A_   )


						def     _SCREAMING_SNAKE_CASE   (			self  :   int	,*A_  :   int	,**A_  :   Union[str, Any]   )  -> Optional[int]:
							return self.tokenizer.batch_decode(*A_	,**A_   )


						def     _SCREAMING_SNAKE_CASE   (			self  :   Union[str, Any]	,*A_  :   Optional[Any]	,**A_  :   Optional[int]   )  -> List[Any]:
							return self.tokenizer.decode(*A_	,**A_   )




						@property
						def     _SCREAMING_SNAKE_CASE   (			self  :   Optional[int]   )  -> int:
							A     = self.tokenizer.model_input_names
							A     = self.feature_extractor.model_input_names
							return list(dict.fromkeys(tokenizer_input_names + feature_extractor_input_names   )   )

"""simple docstring"""


from __future__ import annotations






def    _snake_case					(		snake_case__ :  tuple[int, int]						,   snake_case__ :  int  ):
	A ,   A     = position
	A     = [
	    (y + 1, x + 2),
	    (y - 1, x + 2),
	    (y + 1, x - 2),
	    (y - 1, x - 2),
	    (y + 2, x + 1),
	    (y + 2, x - 1),
	    (y - 2, x + 1),
	    (y - 2, x - 1),
	]
	A     = []

	for position in positions:
		A ,   A     = position
		if 0 <= y_test < n and 0 <= x_test < n:
			permissible_positions.append(snake_case__  )

	return permissible_positions






def    _snake_case					(		snake_case__ :  list[list[int]]  ):
	return not any(elem == 0 for row in board for elem in row  )






def    _snake_case					(		snake_case__ :  list[list[int]]						,   snake_case__ :  tuple[int, int]						,   snake_case__ :  int  ):

	if is_complete(snake_case__  ):
		return True

	for position in get_valid_pos(snake_case__						,   len(snake_case__  )  ):
		A ,   A     = position

		if board[y][x] == 0:
			A     = curr + 1
			if open_knight_tour_helper(snake_case__						,   snake_case__						,   curr + 1  ):
				return True
			A     = 0

	return False






def    _snake_case					(		snake_case__ :  int  ):
	A     = [[0 for i in range(snake_case__  )] for j in range(snake_case__  )]

	for i in range(snake_case__  ):
		for j in range(snake_case__  ):
			A     = 1
			if open_knight_tour_helper(snake_case__						,   (i, j)						,   1  ):
				return board
			A     = 0

	A     = F'Open Kight Tour cannot be performed on a board of size {n}'
	raise ValueError(snake_case__  )


if __name__ == "__main__":
		import doctest

		doctest.testmod()