
'''simple docstring'''




from collections import deque







def 		lowerCAmelCase_				(   snake_case__						):




    '''simple docstring'''



    A       :   Dict					=						len(snake_case__						)
    A       :   str					=						deque()
    A       :   int					=						[False for _ in range(snake_case__						)]
    A       :   List[Any]					=						[-1 for _ in range(snake_case__						)]
    A       :   Optional[int]					=						index_of[:]

    def strong_connect(snake_case__		,				snake_case__		,				snake_case__						):
        A       :   int					=						index  # the number when this node is seen
        A       :   Tuple					=						index  # lowest rank node reachable from here
        index += 1
        stack.append(snake_case__						)
        A       :   List[str]					=						True

        for w in g[v]:
            if index_of[w] == -1:
                A       :   List[str]					=						strong_connect(snake_case__		,				snake_case__		,				snake_case__						)
                A       :   str					=						(
                    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
                )
            elif on_stack[w]:
                A       :   List[Any]					=						(
                    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
                )

        if lowlink_of[v] == index_of[v]:
            A       :   Optional[int]					=						[]
            A       :   List[str]					=						stack.pop()
            A       :   List[str]					=						False
            component.append(snake_case__						)
            while w != v:
                A       :   Optional[Any]					=						stack.pop()
                A       :   List[str]					=						False
                component.append(snake_case__						)
            components.append(snake_case__						)
        return index

    A       :   Any					=						[]
    for v in range(snake_case__						):
        if index_of[v] == -1:
            strong_connect(snake_case__		,				0		,				snake_case__						)

    return components







def 		lowerCAmelCase_				(   snake_case__		,				snake_case__						):




    '''simple docstring'''



    A       :   Optional[Any]					=						[[] for _ in range(snake_case__						)]
    for u, v in edges:
        g[u].append(snake_case__						)
    return g


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

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










from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


UpperCAmelCase_									=	{
    'configuration_vision_encoder_decoder': ['VisionEncoderDecoderConfig', 'VisionEncoderDecoderOnnxConfig']
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase_									=	['VisionEncoderDecoderModel']

try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase_									=	['TFVisionEncoderDecoderModel']

try:
       if not is_flax_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase_									=	['FlaxVisionEncoderDecoderModel']

if TYPE_CHECKING:
       from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

       try:
              if not is_flax_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
       import sys

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

