




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




class      UpperCamelCase       (	unittest.TestCase       ):



  def     a_							(			self ):







      '''simple docstring'''


      _a				:							Optional[Any]							       =      inspect.getfile(accelerate.test_utils )
      _a				:							Optional[int]							       =      os.path.sep.join(mod_file.split(os.path.sep )[:-1] + ["""scripts""", """test_sync.py"""] )



  @require_cpu
  def     a_							(			self ):







      '''simple docstring'''


      debug_launcher(test_sync.main		,     num_processes=1 )



  @require_cpu
  def     a_							(			self ):







      '''simple docstring'''


      debug_launcher(test_sync.main )



  @require_single_gpu
  def     a_							(			self ):







      '''simple docstring'''


      test_sync.main()



  @require_multi_gpu
  def     a_							(			self ):







      '''simple docstring'''


      print(f'''Found {torch.cuda.device_count()} devices.''' )
      _a				:							Tuple							       =      ["""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"""


def 					_lowerCAmelCase (  lowercase_		):
						return " ".join(sorted(set(sentence.split()		)		)		)


if __name__ == "__main__":
				import doctest

				doctest.testmod()





