


UpperCAmelCase__   	=							{0: [2, 3], 1: [0], 2: [1], 3: [4], 4: []}

UpperCAmelCase__   	=							{0: [1, 2, 3], 1: [2], 2: [0], 3: [4], 4: [5], 5: [3]}
def 				UpperCAmelCase_					(							__snake_case     ,						__snake_case     ,						__snake_case						)     ->			list[int]:







 """simple docstring"""


 _lowercase							      =True
 _lowercase							      =[]

 for neighbour in graph[vert]:
  if not visited[neighbour]:
   order += topology_sort(__snake_case     ,						__snake_case     ,						__snake_case						)

 order.append(__snake_case						)

 return order
def 				UpperCAmelCase_					(							__snake_case     ,						__snake_case     ,						__snake_case						)     ->			list[int]:







 """simple docstring"""


 _lowercase							      =True
 _lowercase							      =[vert]

 for neighbour in reversed_graph[vert]:
  if not visited[neighbour]:
   component += find_components(__snake_case     ,						__snake_case     ,						__snake_case						)

 return component



def 				UpperCAmelCase_					(							__snake_case						)     ->			list[list[int]]:







 """simple docstring"""


 _lowercase							      =len(__snake_case						) * [False]
 _lowercase							      ={vert: [] for vert in range(len(__snake_case						)						)}

 for vert, neighbours in graph.items():
  for neighbour in neighbours:
   reversed_graph[neighbour].append(__snake_case						)

 _lowercase							      =[]
 for i, was_visited in enumerate(__snake_case						):
  if not was_visited:
   order += topology_sort(__snake_case     ,						__snake_case     ,						__snake_case						)

 _lowercase							      =[]
 _lowercase							      =len(__snake_case						) * [False]

 for i in range(len(__snake_case						)						):
  _lowercase							      =order[len(__snake_case						) - i - 1]
  if not visited[vert]:
   _lowercase							      =find_components(__snake_case     ,						__snake_case     ,						__snake_case						)
   components_list.append(__snake_case						)

 return components_list





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase__   	=							{
    '''configuration_timesformer''': ['''TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''TimesformerConfig'''],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase__   	=							[
      '''TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
      '''TimesformerModel''',
      '''TimesformerForVideoClassification''',
      '''TimesformerPreTrainedModel''',
  ]

if TYPE_CHECKING:
  from .configuration_timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_timesformer import (
        TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        TimesformerForVideoClassification,
        TimesformerModel,
        TimesformerPreTrainedModel,
    )

else:
  import sys

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

