



'''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 				snake_case__ (unittest.TestCase   ):



       def 							_a      (				self      )  ->							int:
           lowercase__		       =						inspect.getfile(accelerate.test_utils      )
           lowercase__		       =						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

           lowercase__		       =						test_metrics



       @require_cpu
       def 							_a      (				self      )  ->							Optional[int]:
           debug_launcher(self.test_metrics.main     ,num_processes=1      )



       @require_cpu
       def 							_a      (				self      )  ->							List[str]:
           debug_launcher(self.test_metrics.main      )



       @require_single_gpu
       def 							_a      (				self      )  ->							Optional[int]:
           self.test_metrics.main()







       @require_multi_gpu
       def 							_a      (				self      )  ->							Optional[Any]:
           print(F'''Found {torch.cuda.device_count()} devices.'''      )
           lowercase__		       =						["torchrun", F'''--nproc_per_node={torch.cuda.device_count()}''', self.test_file_path]
           with patch_environment(omp_num_threads=1      ):
               execute_subprocess_async(UpperCAmelCase_     ,env=os.environ.copy()      )









'''simple docstring'''





def        lowerCamelCase  (				_snake_case  :						List[str]       ):  # noqa: E741





    '''simple docstring'''


    lowercase__		       =						len(_snake_case       )
    lowercase__		       =						0
    lowercase__		       =						[0] * n
    lowercase__		       =						[False] * n
    lowercase__		       =						[False] * n

    def dfs(_snake_case  :						Tuple     ,_snake_case  :						int     ,_snake_case  :						List[str]     ,_snake_case  :						str       ):
        if parent == root:
            out_edge_count += 1
        lowercase__		       =						True
        lowercase__		       =						at

        for to in l[at]:
            if to == parent:
                pass
            elif not visited[to]:
                lowercase__		       =						dfs(_snake_case     ,_snake_case     ,_snake_case     ,_snake_case       )
                lowercase__		       =						min(low[at]     ,low[to]       )

                # AP found via bridge
                if at < low[to]:
                    lowercase__		       =						True
                # AP found via cycle
                if at == low[to]:
                    lowercase__		       =						True
            else:
                lowercase__		       =						min(low[at]     ,_snake_case       )
        return out_edge_count

    for i in range(_snake_case       ):
        if not visited[i]:
            lowercase__		       =						0
            lowercase__		       =						dfs(_snake_case     ,_snake_case     ,-1     ,_snake_case       )
            lowercase__		       =						out_edge_count > 1

    for x in range(len(_snake_case       )       ):
        if is_art[x] is True:
            print(_snake_case       )


# Adjacency list of graph
SCREAMING_SNAKE_CASE__      					=     {
    0: [1, 2],
    1: [0, 2],
    2: [0, 1, 3, 5],
    3: [2, 4],
    4: [3],
    5: [2, 6, 8],
    6: [5, 7],
    7: [6, 8],
    8: [5, 7],
}



compute_ap(data)




