def       __magic_name__(  __UpperCAmelCase		)						->    int:  # noqa: E741



      '''simple docstring'''

      _lowerCamelCase			    =				len(__UpperCAmelCase		)
      _lowerCamelCase			    =				0
      _lowerCamelCase			    =				[0] * n
      _lowerCamelCase			    =				[False] * n
      _lowerCamelCase			    =				[False] * n

      def dfs(__UpperCAmelCase ,						__UpperCAmelCase ,						__UpperCAmelCase ,						__UpperCAmelCase		):
            if parent == root:
                  out_edge_count += 1
            _lowerCamelCase			    =				True
            _lowerCamelCase			    =				at

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

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

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

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


# Adjacency list of graph
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)
import os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property



@unittest.skipUnless(os.path.exists(__lowercase )   ,  'Tatoeba directory does not exist.' )
class  UpperCamelCase				( unittest.TestCase ):

     '''simple docstring'''

     @cached_property
     def 		UpperCamelCase_						(					self						) ->				int:






           """simple docstring"""
           _lowerCamelCase			    =				tempfile.mkdtemp()
           return TatoebaConverter(save_dir=A_						)



     @slow
     def 		UpperCamelCase_						(					self						) ->				Any:






           """simple docstring"""
           self.resolver.convert_models(['''heb-eng''']						)





     @slow
     def 		UpperCamelCase_						(					self						) ->				Tuple:






           """simple docstring"""
           _lowerCamelCase    ,					_lowerCamelCase			    =				self.resolver.write_model_card('''opus-mt-he-en'''				,				dry_run=A_						)
           assert mmeta["long_pair"] == "heb-eng"