


'''simple docstring'''



def 			_a			(		_lowercase      :			Any						):  # noqa: E741





     '''simple docstring'''






     __UpperCAmelCase			:				Any													=    len(lowerCAmelCase__						)
     __UpperCAmelCase			:				Tuple													=    0
     __UpperCAmelCase			:				Any													=    [0] * n
     __UpperCAmelCase			:				List[Any]													=    [False] * n
     __UpperCAmelCase			:				int													=    [False] * n

     def dfs(_lowercase      :			Any    ,      _lowercase      :			Any    ,      _lowercase      :			Dict    ,      _lowercase      :			Optional[int]						):
          if parent == root:
               out_edge_count += 1
          __UpperCAmelCase			:				int													=    True
          __UpperCAmelCase			:				int													=    at

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

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

     for i in range(lowerCAmelCase__						):
          if not visited[i]:
               __UpperCAmelCase			:				Union[str, Any]													=    0
               __UpperCAmelCase			:				str													=    dfs(lowerCAmelCase__    ,      lowerCAmelCase__    ,      -1    ,      lowerCAmelCase__						)
               __UpperCAmelCase			:				Dict													=    out_edge_count > 1

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


# Adjacency list of graph
__UpperCAmelCase    :Optional[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'''



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


__UpperCAmelCase    :Optional[Any]				       =     {
    "configuration_layoutlmv2": ["LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "LayoutLMv2Config"],
    "processing_layoutlmv2": ["LayoutLMv2Processor"],
    "tokenization_layoutlmv2": ["LayoutLMv2Tokenizer"],
}

try:
      if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase    :Any				       =     ["LayoutLMv2TokenizerFast"]

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase    :int				       =     ["LayoutLMv2FeatureExtractor"]
      __UpperCAmelCase    :Optional[int]				       =     ["LayoutLMv2ImageProcessor"]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase    :List[Any]				       =     [
          "LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST",
          "LayoutLMv2ForQuestionAnswering",
          "LayoutLMv2ForSequenceClassification",
          "LayoutLMv2ForTokenClassification",
          "LayoutLMv2Layer",
          "LayoutLMv2Model",
          "LayoutLMv2PreTrainedModel",
      ]

if TYPE_CHECKING:
      from .configuration_layoutlmva import LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMvaConfig
      from .processing_layoutlmva import LayoutLMvaProcessor
      from .tokenization_layoutlmva import LayoutLMvaTokenizer

      try:
            if not is_tokenizers_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_layoutlmva_fast import LayoutLMvaTokenizerFast

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_layoutlmva import LayoutLMvaFeatureExtractor, LayoutLMvaImageProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_layoutlmva import (
                LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST,
                LayoutLMvaForQuestionAnswering,
                LayoutLMvaForSequenceClassification,
                LayoutLMvaForTokenClassification,
                LayoutLMvaLayer,
                LayoutLMvaModel,
                LayoutLMvaPreTrainedModel,
            )
else:
      import sys

      __UpperCAmelCase    :Any				       =     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)