"""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     _SCREAMING_SNAKE_CASE       ( unittest.TestCase							):



   '''simple docstring'''



   def       _A							(  self  ):


      '''simple docstring'''

      __lowerCamelCase								=				inspect.getfile(accelerate.test_utils  )
      __lowerCamelCase								=				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.'''  )
      __lowerCamelCase								=				['torchrun', F'''--nproc_per_node={torch.cuda.device_count()}''', self.test_file_path]
      with patch_environment(omp_num_threads=1  ):
         execute_subprocess_async(_SCREAMING_SNAKE_CASE   ,							env=os.environ.copy()  )







"""simple docstring"""







_SCREAMING_SNAKE_CASE  :		Optional[Any]        =      {
    0: '''underwear''',
    1: '''pants''',
    2: '''belt''',
    3: '''suit''',
    4: '''shoe''',
    5: '''socks''',
    6: '''shirt''',
    7: '''tie''',
    8: '''watch''',
}

_SCREAMING_SNAKE_CASE  :		List[str]        =      [[1, 4], [2, 4], [3], [], [], [4], [2, 7], [3], []]

_SCREAMING_SNAKE_CASE  :		Optional[Any]        =      [0 for x in range(len(graph))]
_SCREAMING_SNAKE_CASE  :		List[Any]        =      []



def 			A__						(  lowercase_    :  Optional[int]			,   lowercase_    :  List[str]	)     ->       List[str]:
   __lowerCamelCase								=				1
   while stack:
      __lowerCamelCase								=				stack.pop()
      print(lowercase_			,   clothes[current_clothing]	)
      order += 1



def 			A__						(  lowercase_    :  List[Any]			,   lowercase_    :  List[str]			,   lowercase_    :  Union[str, Any]	)     ->       List[Any]:
   __lowerCamelCase								=				1
   for v in graph[u]:
      if not visited[v]:
         depth_first_search(lowercase_			,   lowercase_			,   lowercase_	)

   stack.append(lowercase_	)



def 			A__						(  lowercase_    :  Dict			,   lowercase_    :  Optional[Any]	)     ->       Union[str, Any]:
   for v in range(len(lowercase_	)	):
      if not visited[v]:
         depth_first_search(lowercase_			,   lowercase_			,   lowercase_	)


if __name__ == "__main__":
     topological_sort(graph, visited)
     print(stack)
     print_stack(stack, clothes)






