


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        lowercase	(      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(__a     ,env=os.environ.copy())






import os



def  UpperCamelCase					(							lowerCAmelCase__ = "input.txt"	):
					'''simple docstring'''

					with open(os.path.join(os.path.dirname(lowerCAmelCase__	)				,    lowerCAmelCase__	)	) as input_file:
										lowercase					=		[
										    [int(lowerCAmelCase__	) for element in line.split(''','''	)]
										    for line in input_file.readlines()
										]

					lowercase					=		len(lowerCAmelCase__	)
					lowercase					=		len(matrix[0]	)

					lowercase					=		[[-1 for _ in range(lowerCAmelCase__	)] for _ in range(lowerCAmelCase__	)]
					for i in range(lowerCAmelCase__	):
										lowercase					=		matrix[i][0]

					for j in range(1				,    lowerCAmelCase__	):
										for i in range(lowerCAmelCase__	):
															lowercase					=		minimal_path_sums[i][j - 1] + matrix[i][j]

										for i in range(1				,    lowerCAmelCase__	):
															lowercase					=		min(
															    minimal_path_sums[i][j]				,    minimal_path_sums[i - 1][j] + matrix[i][j]	)

										for i in range(rows - 2				,    -1				,    -1	):
															lowercase					=		min(
															    minimal_path_sums[i][j]				,    minimal_path_sums[i + 1][j] + matrix[i][j]	)

					return min(minimal_path_sums_row[-1] for minimal_path_sums_row in minimal_path_sums	)


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




