






'''simple docstring'''
def 	_a(					UpperCamelCase__			:  int							):  # noqa: E741




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__       :			str													=len(UpperCamelCase__							)
      SCREAMING_SNAKE_CASE__       :			Dict													=0
      SCREAMING_SNAKE_CASE__       :			Union[str, Any]													=[0] * n
      SCREAMING_SNAKE_CASE__       :			Tuple													=[False] * n
      SCREAMING_SNAKE_CASE__       :			Tuple													=[False] * n

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

            for to in l[at]:
                  if to == parent:
                        pass
                  elif not visited[to]:
                        SCREAMING_SNAKE_CASE__       :			Tuple													=dfs(UpperCamelCase__,		UpperCamelCase__,		UpperCamelCase__,		UpperCamelCase__							)
                        SCREAMING_SNAKE_CASE__       :			Union[str, Any]													=min(low[at],		low[to]							)

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

      for i in range(UpperCamelCase__							):
            if not visited[i]:
                  SCREAMING_SNAKE_CASE__       :			List[Any]													=0
                  SCREAMING_SNAKE_CASE__       :			Tuple													=dfs(UpperCamelCase__,		UpperCamelCase__,		-1,		UpperCamelCase__							)
                  SCREAMING_SNAKE_CASE__       :			Any													=out_edge_count > 1

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


# Adjacency list of graph
a_					=	{
    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_torch_available


a_					=	{
    'configuration_instructblip': [
        'INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'InstructBlipConfig',
        'InstructBlipQFormerConfig',
        'InstructBlipVisionConfig',
    ],
    'processing_instructblip': ['InstructBlipProcessor'],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a_					=	[
      'INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
      'InstructBlipQFormerModel',
      'InstructBlipPreTrainedModel',
      'InstructBlipForConditionalGeneration',
      'InstructBlipVisionModel',
  ]

if TYPE_CHECKING:
  from .configuration_instructblip import (
      INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
      InstructBlipConfig,
      InstructBlipQFormerConfig,
      InstructBlipVisionConfig,
  )
  from .processing_instructblip import InstructBlipProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_instructblip import (
        INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
        InstructBlipForConditionalGeneration,
        InstructBlipPreTrainedModel,
        InstructBlipQFormerModel,
        InstructBlipVisionModel,
    )

else:
  import sys

  a_					=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)