






def    _lowerCamelCase	(	__lowerCamelCase   ,       __lowerCamelCase   ,       __lowerCamelCase   ,       __lowerCamelCase					)   -> Optional[Any]:

					'''simple docstring'''
					return len_board * len_board_column * row + column





def    _lowerCamelCase	(	__lowerCamelCase   ,       __lowerCamelCase   ,       __lowerCamelCase   ,       __lowerCamelCase   ,       __lowerCamelCase   ,       __lowerCamelCase   ,       )   -> List[Any]:

					'''simple docstring'''

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

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

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

										UpperCAmelCase__			:     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    _lowerCamelCase	(	__lowerCamelCase   ,       __lowerCamelCase					)   -> int:

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

					UpperCAmelCase__			:     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."""					)

					UpperCAmelCase__			:     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()














from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE__		:       Any   							=							{"""configuration_dinat""": ["""DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DinatConfig"""]}


try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE__		:       str   							=							[
          """DINAT_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """DinatForImageClassification""",
          """DinatModel""",
          """DinatPreTrainedModel""",
          """DinatBackbone""",
      ]

if TYPE_CHECKING:
      from .configuration_dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_dinat import (
                DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                DinatBackbone,
                DinatForImageClassification,
                DinatModel,
                DinatPreTrainedModel,
            )

else:
      import sys

      SCREAMING_SNAKE_CASE__		:       Dict   							=							_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






