



"""simple docstring"""

def    __snake_case       (  __A			:	int       ,		__A			:	int       ,		__A			:	int       ,		__A			:	int    )    ->					int:






				'''simple docstring'''
				return len_board * len_board_column * row + column
def    __snake_case       (  __A			:	list[list[str]]       ,		__A			:	str       ,		__A			:	int       ,		__A			:	int       ,		__A			:	int       ,		__A			:	set[int]       ,		)    ->					List[Any]:






				'''simple docstring'''

				if board[row][column] != word[word_index]:
								return False

				if word_index == len(lowercase_    ) - 1:
								return True

				SCREAMING_SNAKE_CASE	:       List[Any] 							=    [(0, 1), (0, -1), (-1, 0), (1, 0)]
				SCREAMING_SNAKE_CASE	:       List[Any] 							=    len(lowercase_    )
				SCREAMING_SNAKE_CASE	:       Union[str, Any] 							=    len(board[0]    )
				for direction in traverts_directions:
								SCREAMING_SNAKE_CASE	:       Optional[Any] 							=    row + direction[0]
								SCREAMING_SNAKE_CASE	:       Union[str, Any] 							=    column + direction[1]
								if not (0 <= next_i < len_board and 0 <= next_j < len_board_column):
												continue

								SCREAMING_SNAKE_CASE	:       int 							=    get_point_key(lowercase_       ,		lowercase_       ,		lowercase_       ,		lowercase_    )
								if key in visited_points_set:
												continue

								visited_points_set.add(lowercase_    )
								if exits_word(lowercase_       ,		lowercase_       ,		lowercase_       ,		lowercase_       ,		word_index + 1       ,		lowercase_    ):
												return True

								visited_points_set.remove(lowercase_    )

				return False
def    __snake_case       (  __A			:	list[list[str]]       ,		__A			:	str    )    ->					str:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE	:       Dict 							=    (
				    'The board should be a non empty matrix of single chars strings.'
				)

				SCREAMING_SNAKE_CASE	:       int 							=    len(lowercase_    )
				if not isinstance(lowercase_       ,		lowercase_    ) or len(lowercase_    ) == 0:
								raise ValueError(lowercase_    )

				for row in board:
								if not isinstance(lowercase_       ,		lowercase_    ) or len(lowercase_    ) == 0:
												raise ValueError(lowercase_    )

								for item in row:
												if not isinstance(lowercase_       ,		lowercase_    ) or len(lowercase_    ) != 1:
																raise ValueError(lowercase_    )

    # Validate word
				if not isinstance(lowercase_       ,		lowercase_    ) or len(lowercase_    ) == 0:
								raise ValueError(
								    'The word parameter should be a string of length greater than 0.'    )

				SCREAMING_SNAKE_CASE	:       Any 							=    len(board[0]    )
				for i in range(lowercase_    ):
								for j in range(lowercase_    ):
												if exits_word(
												    lowercase_       ,		lowercase_       ,		lowercase_       ,		lowercase_       ,		0       ,		{get_point_key(lowercase_       ,		lowercase_       ,		lowercase_       ,		lowercase_    )}    ):
																return True

				return False


if __name__ == "__main__":
							import doctest

							doctest.testmod()










"""simple docstring"""

import warnings

from ...utils import logging
from .image_processing_convnext import ConvNextImageProcessor


A_	:						Any				=			logging.get_logger(__name__)
class 						lowerCAmelCase__	(  _lowerCamelCase   ):


	'''simple docstring'''







	def __init__(			self							:					Tuple    ,					*_SCREAMING_SNAKE_CASE							:					Optional[int]    ,					**_SCREAMING_SNAKE_CASE							:					Optional[int]						)	->  None:





					"""simple docstring"""


					warnings.warn(
					    'The class ConvNextFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
					    ' Please use ConvNextImageProcessor instead.'    ,					_SCREAMING_SNAKE_CASE    ,					)
					super().__init__(*_SCREAMING_SNAKE_CASE    ,					**_SCREAMING_SNAKE_CASE						)





