
from __future__ import annotations




def  __magic_name__ (   __lowerCAmelCase	:						list[list[int]]							)			->   int:

				# preprocessing the first row
				for i in range(1		,  len(matrix[0]							)							):
								matrix[0][i] += matrix[0][i - 1]

				# preprocessing the first column
				for i in range(1		,  len(__lowerCAmelCase							)							):
								matrix[i][0] += matrix[i - 1][0]

				# updating the path cost for current position
				for i in range(1		,  len(__lowerCAmelCase							)							):
								for j in range(1		,  len(matrix[0]							)							):
												matrix[i][j] += min(matrix[i - 1][j]		,  matrix[i][j - 1]							)

				return matrix[-1][-1]


if __name__ == "__main__":
					import doctest

					doctest.testmod()





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


try:
					if not (is_transformers_available() and is_torch_available() and is_transformers_version(">=", "4.25.0")):
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
					from .pipeline_unclip import UnCLIPPipeline
					from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
					from .text_proj import UnCLIPTextProjModel



