




"""simple docstring"""

from __future__ import annotations






def 						_snake_case					( _snake_case							: list[list[int]]							)   -> int:






      '''simple docstring'''


      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(_snake_case							)							):
            matrix[i][0] += matrix[i - 1][0]

      # updating the path cost for current position
      for i in range(1    ,  len(_snake_case							)							):
            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()







"""simple docstring"""

import os

from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home


a         =      HUGGINGFACE_HUB_CACHE


a         =      '''config.json'''
a         =      '''diffusion_pytorch_model.bin'''
a         =      '''diffusion_flax_model.msgpack'''
a         =      '''model.onnx'''
a         =      '''diffusion_pytorch_model.safetensors'''
a         =      '''weights.pb'''
a         =      '''https://huggingface.co'''
a         =      default_cache_path
a         =      '''diffusers_modules'''
a         =      os.getenv('''HF_MODULES_CACHE''', os.path.join(hf_cache_home, '''modules'''))
a         =      ['''fp16''', '''non-ema''']
a         =      '''.self_attn'''

