

'''simple docstring'''
import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_huggingface_suite,
    require_multi_gpu,
    require_single_gpu,
)
from accelerate.utils import patch_environment

@require_huggingface_suite
class 						__magic_name__   (							unittest.TestCase ):







 def 						_A(       self   ):
   lowercase									=inspect.getfile(accelerate.test_utils   )
   lowercase									=os.path.sep.join(
       mod_file.split(os.path.sep   )[:-1] + ['''scripts''', '''external_deps''', '''test_metrics.py''']   )

   from accelerate.test_utils.scripts.external_deps import test_metrics  # noqa: F401

   lowercase									=test_metrics







 @require_cpu
 def 						_A(       self   ):
   debug_launcher(self.test_metrics.main  , num_processes=1   )







 @require_cpu
 def 						_A(       self   ):
   debug_launcher(self.test_metrics.main   )







 @require_single_gpu
 def 						_A(       self   ):
   self.test_metrics.main()







 @require_multi_gpu
 def 						_A(       self   ):
   print(f'Found {torch.cuda.device_count()} devices.'   )
   lowercase									=['''torchrun''', f'--nproc_per_node={torch.cuda.device_count()}', self.test_file_path]
   with patch_environment(omp_num_threads=1   ):
     execute_subprocess_async(snake_case_  , env=os.environ.copy()   )



"""simple docstring"""




from __future__ import annotations

def 						A							(  snake_case__     ):




			'''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()


