


"""simple docstring"""







import os
def 					a__			(				SCREAMING_SNAKE_CASE    :    str = "matrix.txt"				):


  '''simple docstring'''







  with open(os.path.join(os.path.dirname(SCREAMING_SNAKE_CASE				)				,      SCREAMING_SNAKE_CASE				)				) as in_file:
    lowerCAmelCase     :     Any								=							in_file.read()

  lowerCAmelCase     :     Optional[Any]								=							[[int(SCREAMING_SNAKE_CASE				) for cell in row.split(","				)] for row in data.strip().splitlines()]
  lowerCAmelCase     :     Union[str, Any]								=							[[0 for cell in row] for row in grid]
  lowerCAmelCase     :     Dict								=							len(grid[0]				)

  lowerCAmelCase     :     Tuple								=							[[0 for i in range(SCREAMING_SNAKE_CASE				)] for j in range(SCREAMING_SNAKE_CASE				)]
  lowerCAmelCase     :     str								=							grid[0][0]
  for i in range(1				,      SCREAMING_SNAKE_CASE				):
    lowerCAmelCase     :     Union[str, Any]								=							grid[0][i] + dp[0][i - 1]
  for i in range(1				,      SCREAMING_SNAKE_CASE				):
    lowerCAmelCase     :     Optional[int]								=							grid[i][0] + dp[i - 1][0]

  for i in range(1				,      SCREAMING_SNAKE_CASE				):
    for j in range(1				,      SCREAMING_SNAKE_CASE				):
      lowerCAmelCase     :     Tuple								=							grid[i][j] + min(dp[i - 1][j]				,      dp[i][j - 1]				)

  return dp[-1][-1]


if __name__ == "__main__":
     print(F"{solution() = }")









"""simple docstring"""







import unittest

import torch
from torch import nn

from diffusers.models.activations import get_activation


class       SCREAMING_SNAKE_CASE__				(		unittest.TestCase				):
       """simple docstring"""


       def        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     int								=							get_activation("swish"						)

         self.assertIsInstance(snake_case__		,     nn.SiLU						)

         self.assertEqual(act(torch.tensor(-100		,     dtype=torch.floataa						)						).item()		,     0						)
         self.assertNotEqual(act(torch.tensor(-1		,     dtype=torch.floataa						)						).item()		,     0						)
         self.assertEqual(act(torch.tensor(0		,     dtype=torch.floataa						)						).item()		,     0						)
         self.assertEqual(act(torch.tensor(20		,     dtype=torch.floataa						)						).item()		,     20						)

       def        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     Union[str, Any]								=							get_activation("silu"						)

         self.assertIsInstance(snake_case__		,     nn.SiLU						)

         self.assertEqual(act(torch.tensor(-100		,     dtype=torch.floataa						)						).item()		,     0						)
         self.assertNotEqual(act(torch.tensor(-1		,     dtype=torch.floataa						)						).item()		,     0						)
         self.assertEqual(act(torch.tensor(0		,     dtype=torch.floataa						)						).item()		,     0						)
         self.assertEqual(act(torch.tensor(20		,     dtype=torch.floataa						)						).item()		,     20						)

       def        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     Dict								=							get_activation("mish"						)

         self.assertIsInstance(snake_case__		,     nn.Mish						)

         self.assertEqual(act(torch.tensor(-200		,     dtype=torch.floataa						)						).item()		,     0						)
         self.assertNotEqual(act(torch.tensor(-1		,     dtype=torch.floataa						)						).item()		,     0						)
         self.assertEqual(act(torch.tensor(0		,     dtype=torch.floataa						)						).item()		,     0						)
         self.assertEqual(act(torch.tensor(20		,     dtype=torch.floataa						)						).item()		,     20						)







       def        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     Union[str, Any]								=							get_activation("gelu"						)

         self.assertIsInstance(snake_case__		,     nn.GELU						)

         self.assertEqual(act(torch.tensor(-100		,     dtype=torch.floataa						)						).item()		,     0						)
         self.assertNotEqual(act(torch.tensor(-1		,     dtype=torch.floataa						)						).item()		,     0						)
         self.assertEqual(act(torch.tensor(0		,     dtype=torch.floataa						)						).item()		,     0						)
         self.assertEqual(act(torch.tensor(20		,     dtype=torch.floataa						)						).item()		,     20						)





