"""simple docstring"""





from heapq import heappop, heappush

import numpy as np



def      lowerCamelCase_(  __SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	)->    tuple[float | int, list[tuple[int, int]]]:
							_SCREAMING_SNAKE_CASE		:						int			  =    grid.shape
							_SCREAMING_SNAKE_CASE		:						str			  =    [-1, 1, 0, 0]
							_SCREAMING_SNAKE_CASE		:						Any			  =    [0, 0, -1, 1]
							if allow_diagonal:
														dx += [-1, -1, 1, 1]
														dy += [-1, 1, -1, 1]

							_SCREAMING_SNAKE_CASE		:						Any			  =    [(0, source)], set()
							_SCREAMING_SNAKE_CASE		:						str			  =    np.full((rows, cols)     ,	np.inf  )
							_SCREAMING_SNAKE_CASE		:						Dict			  =    0
							_SCREAMING_SNAKE_CASE		:						List[Any]			  =    np.empty((rows, cols)     ,	dtype=__SCREAMING_SNAKE_CASE  )
							_SCREAMING_SNAKE_CASE		:						str			  =    None

							while queue:
														(_SCREAMING_SNAKE_CASE)		:						Any			  =    heappop(__SCREAMING_SNAKE_CASE  )
														if (x, y) in visited:
																					continue
														visited.add((x, y)  )

														if (x, y) == destination:
																					_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    []
																					while (x, y) != source:
																												path.append((x, y)  )
																												_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    predecessors[x, y]
																					path.append(__SCREAMING_SNAKE_CASE  )  # add the source manually
																					path.reverse()
																					return matrix[destination], path

														for i in range(len(__SCREAMING_SNAKE_CASE  )  ):
																					_SCREAMING_SNAKE_CASE		:						Tuple			  =    x + dx[i], y + dy[i]
																					if 0 <= nx < rows and 0 <= ny < cols:
																												_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    grid[nx][ny]
																												if next_node == 1 and matrix[nx, ny] > dist + 1:
																																			heappush(__SCREAMING_SNAKE_CASE     ,	(dist + 1, (nx, ny))  )
																																			_SCREAMING_SNAKE_CASE		:						Any			  =    dist + 1
																																			_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    (x, y)

							return np.inf, []


if __name__ == "__main__":
			import doctest

			doctest.testmod()



"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase_     =	{
    '''configuration_clipseg''': [
        '''CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''CLIPSegConfig''',
        '''CLIPSegTextConfig''',
        '''CLIPSegVisionConfig''',
    ],
    '''processing_clipseg''': ['''CLIPSegProcessor'''],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase_     =	[
			    '''CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''CLIPSegModel''',
			    '''CLIPSegPreTrainedModel''',
			    '''CLIPSegTextModel''',
			    '''CLIPSegVisionModel''',
			    '''CLIPSegForImageSegmentation''',
			]

if TYPE_CHECKING:
			from .configuration_clipseg import (
			    CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    CLIPSegConfig,
			    CLIPSegTextConfig,
			    CLIPSegVisionConfig,
			)
			from .processing_clipseg import CLIPSegProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_clipseg import (
						    CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST,
						    CLIPSegForImageSegmentation,
						    CLIPSegModel,
						    CLIPSegPreTrainedModel,
						    CLIPSegTextModel,
						    CLIPSegVisionModel,
						)

else:
			import sys

			lowerCAmelCase_     =	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


