from collections import deque



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: int			)							->      Dict:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   len(__UpperCamelCase			)
  SCREAMING_SNAKE_CASE__    							=   deque()
  SCREAMING_SNAKE_CASE__    							=   [False for _ in range(__UpperCamelCase			)]
  SCREAMING_SNAKE_CASE__    							=   [-1 for _ in range(__UpperCamelCase			)]
  SCREAMING_SNAKE_CASE__    							=   index_of[:]

  def strong_connect(__UpperCamelCase					: Optional[int]				,  __UpperCamelCase					: List[Any]				,  __UpperCamelCase					: List[Any]			):
    SCREAMING_SNAKE_CASE__    							=   index  # the number when this node is seen
    SCREAMING_SNAKE_CASE__    							=   index  # lowest rank node reachable from here
    index += 1
    stack.append(__UpperCamelCase			)
    SCREAMING_SNAKE_CASE__    							=   True

    for w in g[v]:
      if index_of[w] == -1:
        SCREAMING_SNAKE_CASE__    							=   strong_connect(__UpperCamelCase				,  __UpperCamelCase				,  __UpperCamelCase			)
        SCREAMING_SNAKE_CASE__    							=   (
            lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
        )
      elif on_stack[w]:
        SCREAMING_SNAKE_CASE__    							=   (
            lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
        )

    if lowlink_of[v] == index_of[v]:
      SCREAMING_SNAKE_CASE__    							=   []
      SCREAMING_SNAKE_CASE__    							=   stack.pop()
      SCREAMING_SNAKE_CASE__    							=   False
      component.append(__UpperCamelCase			)
      while w != v:
        SCREAMING_SNAKE_CASE__    							=   stack.pop()
        SCREAMING_SNAKE_CASE__    							=   False
        component.append(__UpperCamelCase			)
      components.append(__UpperCamelCase			)
    return index

  SCREAMING_SNAKE_CASE__    							=   []
  for v in range(__UpperCamelCase			):
    if index_of[v] == -1:
      strong_connect(__UpperCamelCase				,  0				,  __UpperCamelCase			)

  return components



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: Optional[int]				,  __UpperCamelCase					: Optional[Any]			)							->      Optional[int]:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   [[] for _ in range(__UpperCamelCase			)]
  for u, v in edges:
    g[u].append(__UpperCamelCase			)
  return g


if __name__ == "__main__":
   # Test
   __lowerCamelCase    :				Optional[int]							     =	7
   __lowerCamelCase    :				Union[str, Any]							     =	[0, 0, 1, 2, 3, 3, 4, 4, 6]
   __lowerCamelCase    :				int							     =	[1, 3, 2, 0, 1, 4, 5, 6, 5]
   __lowerCamelCase    :				Union[str, Any]							     =	[(u, v) for u, v in zip(source, target)]
   __lowerCamelCase    :				str							     =	create_graph(n_vertices, edges)

   assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)

from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCamelCase    :				List[Any]							     =	{
    '''configuration_informer''': [
        '''INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''InformerConfig''',
    ],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __lowerCamelCase    :				Union[str, Any]							     =	[
       '''INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''InformerForPrediction''',
       '''InformerModel''',
       '''InformerPreTrainedModel''',
   ]


if TYPE_CHECKING:
   from .configuration_informer import INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, InformerConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_informer import (
          INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          InformerForPrediction,
          InformerModel,
          InformerPreTrainedModel,
      )

else:
   import sys

   __lowerCamelCase    :				Dict							     =	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
