






class  __UpperCAmelCase						:







			def __init__(      self:    Tuple ,      UpperCAmelCase_:    int	):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE       =    data
									_SCREAMING_SNAKE_CASE       =    42
									_SCREAMING_SNAKE_CASE       =    42

def 			__lowerCamelCase     (						snake_case__						)				->    int:






						"""simple docstring"""





						_SCREAMING_SNAKE_CASE       =    0
						_SCREAMING_SNAKE_CASE       =    x

def 			__lowerCamelCase     (						snake_case__			,snake_case__						)				->    Tuple:






						"""simple docstring"""





						_SCREAMING_SNAKE_CASE ,	_SCREAMING_SNAKE_CASE       =    find_set(snake_case__						), find_set(snake_case__						)
						if x == y:
												return

						elif x.rank > y.rank:
												_SCREAMING_SNAKE_CASE       =    x
						else:
												_SCREAMING_SNAKE_CASE       =    y
												if x.rank == y.rank:
																		y.rank += 1

def 			__lowerCamelCase     (						snake_case__						)				->    Tuple:






						"""simple docstring"""





						if x != x.parent:
												_SCREAMING_SNAKE_CASE       =    find_set(x.parent						)
						return x.parent

def 			__lowerCamelCase     (						snake_case__						)				->    int:






						"""simple docstring"""





						_SCREAMING_SNAKE_CASE       =    ({0, 1, 2}, {3, 4, 5})
						for s in sets:
												if node.data in s:
																		return s
						_SCREAMING_SNAKE_CASE       =    F'{node.data} is not in {sets}'
						raise ValueError(snake_case__						)

def 			__lowerCamelCase     (						)				->    Optional[Any]:






						"""simple docstring"""





						_SCREAMING_SNAKE_CASE       =    [Node(snake_case__						) for i in range(6						)]
						for v in vertex:
												make_set(snake_case__						)

						union_set(vertex[0]			,vertex[1]						)
						union_set(vertex[1]			,vertex[2]						)
						union_set(vertex[3]			,vertex[4]						)
						union_set(vertex[3]			,vertex[5]						)

						for nodea in vertex:
												for nodea in vertex:
																		if find_python_set(snake_case__						).isdisjoint(find_python_set(snake_case__						)						):
																								assert find_set(snake_case__						) != find_set(snake_case__						)
																		else:
																								assert find_set(snake_case__						) == find_set(snake_case__						)


if __name__ == "__main__":
		test_disjoint_set()









'''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        a__     (      unittest.TestCase    ):
     '''simple docstring'''







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






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






     @require_cpu
     def      _UpperCamelCase (self     :						Union[str, Any]       )	->							Optional[Any]:
           debug_launcher(test_sync.main       )






     @require_single_gpu
     def      _UpperCamelCase (self     :						Union[str, Any]       )	->							List[str]:
           test_sync.main()






     @require_multi_gpu
     def      _UpperCamelCase (self     :						Optional[int]       )	->							List[str]:
           print(f"Found {torch.cuda.device_count()} devices."       )
           __A		 =   ["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()       )


