


'''simple docstring'''


def      lowerCamelCase					(      lowerCamelCase  :      List[Any]):  # noqa: E741
      A_						:  Optional[int]          =				len(lowerCamelCase)
      A_						:  Tuple          =				0
      A_						:  Tuple          =				[0] * n
      A_						:  Dict          =				[False] * n
      A_						:  int          =				[False] * n

      def dfs(lowerCamelCase  :      Tuple							,						lowerCamelCase  :      str							,						lowerCamelCase  :      Optional[Any]							,						lowerCamelCase  :      Union[str, Any]):
            if parent == root:
                  out_edge_count += 1
            A_						:  Optional[int]          =				True
            A_						:  Any          =				at

            for to in l[at]:
                  if to == parent:
                        pass
                  elif not visited[to]:
                        A_						:  str          =				dfs(lowerCamelCase							,						lowerCamelCase							,						lowerCamelCase							,						lowerCamelCase)
                        A_						:  Any          =				min(low[at]							,						low[to])

                        # AP found via bridge
                        if at < low[to]:
                              A_						:  int          =				True
                        # AP found via cycle
                        if at == low[to]:
                              A_						:  List[Any]          =				True
                  else:
                        A_						:  Any          =				min(low[at]							,						lowerCamelCase)
            return out_edge_count

      for i in range(lowerCamelCase):
            if not visited[i]:
                  A_						:  Tuple          =				0
                  A_						:  int          =				dfs(lowerCamelCase							,						lowerCamelCase							,						-1							,						lowerCamelCase)
                  A_						:  Union[str, Any]          =				out_edge_count > 1

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


# Adjacency list of graph
__magic_name__			=      {
    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_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


__magic_name__			=      {}

try:
     if not is_sentencepiece_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __magic_name__			=      ['NllbTokenizer']

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __magic_name__			=      ['NllbTokenizerFast']


if TYPE_CHECKING:
     try:
          if not is_sentencepiece_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_nllb import NllbTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_nllb_fast import NllbTokenizerFast

else:
     import sys

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