


def 			UpperCAmelCase_				(      UpperCAmelCase__  ):







					if not grid or not grid[0]:
										raise TypeError("""The grid does not contain the appropriate information"""  )

					for cell_n in range(1						,							len(grid[0]  )  ):
										grid[0][cell_n] += grid[0][cell_n - 1]
					lowercase_  							=			grid[0]

					for row_n in range(1						,							len(lowercase__  )  ):
										lowercase_  							=			grid[row_n]
										lowercase_  							=			fill_row(lowercase__						,							lowercase__  )
										lowercase_  							=			grid[row_n]

					return grid[-1][-1]


def 			UpperCAmelCase_				(      UpperCAmelCase__						,							UpperCAmelCase__  ):
					current_row[0] += row_above[0]
					for cell_n in range(1						,							len(lowercase__  )  ):
										current_row[cell_n] += min(current_row[cell_n - 1]						,							row_above[cell_n]  )

					return current_row


if __name__ == "__main__":
							import doctest

							doctest.testmod()






from ...utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_torch_available,
    is_transformers_available,
)


try:
							if not (is_transformers_available() and is_torch_available()):
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
							from .multicontrolnet import MultiControlNetModel
							from .pipeline_controlnet import StableDiffusionControlNetPipeline
							from .pipeline_controlnet_imgaimg import StableDiffusionControlNetImgaImgPipeline
							from .pipeline_controlnet_inpaint import StableDiffusionControlNetInpaintPipeline


if is_transformers_available() and is_flax_available():
							from .pipeline_flax_controlnet import FlaxStableDiffusionControlNetPipeline


