


'''simple docstring'''





from heapq import heappop, heappush

import numpy as np


def 			UpperCAmelCase_				(      UpperCAmelCase__						,							UpperCAmelCase__						,							UpperCAmelCase__						,							UpperCAmelCase__						,							):
					lowercase_							,					lowercase_  							=			grid.shape
					lowercase_  							=			[-1, 1, 0, 0]
					lowercase_  							=			[0, 0, -1, 1]
					if allow_diagonal:
										dx += [-1, -1, 1, 1]
										dy += [-1, 1, -1, 1]

					lowercase_							,					lowercase_  							=			[(0, source)], set()
					lowercase_  							=			np.full((rows, cols)						,							np.inf  )
					lowercase_  							=			0
					lowercase_  							=			np.empty((rows, cols)						,							dtype=lowerCAmelCase__  )
					lowercase_  							=			None

					while queue:
										((lowercase_)							,					(lowercase_))  							=			heappop(lowerCAmelCase__  )
										if (x, y) in visited:
															continue
										visited.add((x, y)  )

										if (x, y) == destination:
															lowercase_  							=			[]
															while (x, y) != source:
																				path.append((x, y)  )
																				lowercase_							,					lowercase_  							=			predecessors[x, y]
															path.append(lowerCAmelCase__  )  # add the source manually
															path.reverse()
															return matrix[destination], path

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

					return np.inf, []


if __name__ == "__main__":
							import doctest

							doctest.testmod()






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


a					  =     {
    'configuration_trocr': ['TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP', 'TrOCRConfig'],
    'processing_trocr': ['TrOCRProcessor'],
}


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							a					  =     [
							    'TROCR_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'TrOCRForCausalLM',
							    'TrOCRPreTrainedModel',
							]


if TYPE_CHECKING:
							from .configuration_trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig
							from .processing_trocr import TrOCRProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel

else:
							import sys

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


