






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_multi_gpu,
    require_single_gpu,
    test_sync,
)
from accelerate.utils import patch_environment






class __a   (   unittest.TestCase				):



  def 						A_				(self  :		Any   )		->							Dict:
   __A	:       Optional[int]       =	inspect.getfile(accelerate.test_utils   )
   __A	:       int       =	os.path.sep.join(mod_file.split(os.path.sep   )[:-1] + ['scripts', 'test_sync.py']   )



  @require_cpu
  def 						A_				(self  :		Union[str, Any]   )		->							List[str]:
   debug_launcher(test_sync.main				,			num_processes=1   )



  @require_cpu
  def 						A_				(self  :		List[str]   )		->							Optional[int]:
   debug_launcher(test_sync.main   )



  @require_single_gpu
  def 						A_				(self  :		List[Any]   )		->							Tuple:
   test_sync.main()



  @require_multi_gpu
  def 						A_				(self  :		Optional[Any]   )		->							Tuple:
   print(f"Found {torch.cuda.device_count()} devices."   )
   __A	:       List[str]       =	['torchrun', f"--nproc_per_node={torch.cuda.device_count()}", self.test_file_path]
   with patch_environment(omp_num_threads=1   ):
    execute_subprocess_async(lowerCamelCase_				,			env=os.environ.copy()   )













"""simple docstring"""


import math




def 				a (     UpperCamelCase_							:				int		)  ->		list[int]:
 if not isinstance(UpperCamelCase_     ,	UpperCamelCase_		):
  __A	:       Any       =	F"Input value of [number={number}] must be an integer"
  raise TypeError(UpperCamelCase_		)
 if number < 1:
  __A	:       int       =	F"Input value of [number={number}] must be a positive integer"
  raise ValueError(UpperCamelCase_		)
 __A	:       Optional[Any]       =	[number]
 while number != 1:
  if number % 2 == 0:
   __A	:       Optional[int]       =	math.floor(math.sqrt(UpperCamelCase_		)		)
  else:
   __A	:       List[str]       =	math.floor(
       math.sqrt(UpperCamelCase_		) * math.sqrt(UpperCamelCase_		) * math.sqrt(UpperCamelCase_		)		)
  sequence.append(UpperCamelCase_		)
 return sequence


if __name__ == "__main__":
   import doctest

   doctest.testmod()





