





'''simple docstring'''
def 				lowercase__   (   __lowercase						:  Union[str, Any]     ) ->      Union[str, Any]:  # noqa: E741



       """simple docstring"""






       __UpperCamelCase       =  len(__lowercase     )
       __UpperCamelCase       =  0
       __UpperCamelCase       =  [0] * n
       __UpperCamelCase       =  [False] * n
       __UpperCamelCase       =  [False] * n

       def dfs(__lowercase						:  Union[str, Any]				,  __lowercase						:  Tuple				,  __lowercase						:  Tuple				,  __lowercase						:  Any     ):
              if parent == root:
                     out_edge_count += 1
              __UpperCamelCase       =  True
              __UpperCamelCase       =  at

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

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

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

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


# Adjacency list of graph
a__							:							int ={
    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)







'''simple docstring'''
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# this script dumps information about the environment

import os
import platform
import sys


a__							:							Tuple ='''3'''

print('''Python version:''', sys.version)

print('''OS platform:''', platform.platform())
print('''OS architecture:''', platform.machine())

try:
    import torch

    print('''Torch version:''', torch.__version__)
    print('''Cuda available:''', torch.cuda.is_available())
    print('''Cuda version:''', torch.version.cuda)
    print('''CuDNN version:''', torch.backends.cudnn.version())
    print('''Number of GPUs available:''', torch.cuda.device_count())
except ImportError:
    print('''Torch version:''', None)

try:
    import transformers

    print('''transformers version:''', transformers.__version__)
except ImportError:
    print('''transformers version:''', None)
