





"""simple docstring"""





def 					lowerCAmelCase_      (   SCREAMING_SNAKE_CASE							:				int = 600851475143 ):


							'''simple docstring'''







							try:
														__lowerCamelCase   :   Tuple       =int(SCREAMING_SNAKE_CASE )
							except (TypeError, ValueError):
														raise TypeError('''Parameter n must be int or castable to int.''' )
							if n <= 0:
														raise ValueError('''Parameter n must be greater than or equal to one.''' )
							__lowerCamelCase   :   Optional[Any]       =2
							__lowerCamelCase   :   Any       =0
							if n == 2:
														return 2
							while n > 2:
														while n % i != 0:
																					i += 1
														__lowerCamelCase   :   List[Any]       =i
														while n % i == 0:
																					__lowerCamelCase   :   Optional[int]       =n // i
														i += 1
							return int(SCREAMING_SNAKE_CASE )


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











"""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 		SCREAMING_SNAKE_CASE_				(     unittest.TestCase ):
				"""simple docstring"""




				def        __lowercase	(  self	:Dict      ):
											__lowerCamelCase   :   Union[str, Any]       =inspect.getfile(accelerate.test_utils      )
											__lowerCamelCase   :   Union[str, Any]       =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

											__lowerCamelCase   :   List[str]       =test_metrics




				@require_cpu
				def        __lowercase	(  self	:Optional[Any]      ):
											debug_launcher(self.test_metrics.main    ,     num_processes=1      )




				@require_cpu
				def        __lowercase	(  self	:int      ):
											debug_launcher(self.test_metrics.main      )




				@require_single_gpu
				def        __lowercase	(  self	:int      ):
											self.test_metrics.main()




				@require_multi_gpu
				def        __lowercase	(  self	:Dict      ):
											print(f'Found {torch.cuda.device_count()} devices.'      )
											__lowerCamelCase   :   Union[str, Any]       =['''torchrun''', f'--nproc_per_node={torch.cuda.device_count()}', self.test_file_path]
											with patch_environment(omp_num_threads=1      ):
																		execute_subprocess_async(__lowercase    ,     env=os.environ.copy()      )




