


'''simple docstring'''






from queue import PriorityQueue
from typing import Any

import numpy as np





def lowerCamelCase__      (						__lowerCamelCase	:							dict	,   __lowerCamelCase	:							str	,   __lowerCamelCase	:							set	,   __lowerCamelCase	:							set	,   __lowerCamelCase	:							dict	,   __lowerCamelCase	:							dict	,   __lowerCamelCase	:							PriorityQueue	,   __lowerCamelCase	:							dict	,   __lowerCamelCase	:							float | int	,   ):
   for nxt, d in graph[v]:
      if nxt in visited_forward:
         continue
      _UpperCAmelCase       :       int							   =cst_fwd.get(__lowerCamelCase	,   np.inf							)
      _UpperCAmelCase       :       List[Any]							   =cst_fwd[v] + d
      if new_cost_f < old_cost_f:
         queue.put((new_cost_f, nxt)							)
         _UpperCAmelCase       :       str							   =new_cost_f
         _UpperCAmelCase       :       str							   =v
      if nxt in visited_backward:
         if cst_fwd[v] + d + cst_bwd[nxt] < shortest_distance:
            _UpperCAmelCase       :       Union[str, Any]							   =cst_fwd[v] + d + cst_bwd[nxt]
   return shortest_distance





def lowerCamelCase__      (						__lowerCamelCase	:							str	,   __lowerCamelCase	:							str	,   __lowerCamelCase	:							dict	,   __lowerCamelCase	:							dict							):
   _UpperCAmelCase       :       Any							   =-1

   _UpperCAmelCase       :       Optional[Any]							   =set()
   _UpperCAmelCase       :       Tuple							   =set()
   _UpperCAmelCase       :       Any							   ={source: 0}
   _UpperCAmelCase       :       Optional[Any]							   ={destination: 0}
   _UpperCAmelCase       :       Dict							   ={source: None}
   _UpperCAmelCase       :       Union[str, Any]							   ={destination: None}
   _UpperCAmelCase       :       List[Any]							   =PriorityQueue()
   _UpperCAmelCase       :       Tuple							   =PriorityQueue()

   _UpperCAmelCase       :       Optional[int]							   =np.inf

   queue_forward.put((0, source)							)
   queue_backward.put((0, destination)							)

   if source == destination:
      return 0

   while not queue_forward.empty() and not queue_backward.empty():
      _UpperCAmelCase   ,	_UpperCAmelCase       :       Union[str, Any]							   =queue_forward.get()
      visited_forward.add(__lowerCamelCase							)

      _UpperCAmelCase   ,	_UpperCAmelCase       :       List[str]							   =queue_backward.get()
      visited_backward.add(__lowerCamelCase							)

      _UpperCAmelCase       :       Union[str, Any]							   =pass_and_relaxation(
          __lowerCamelCase	,   __lowerCamelCase	,   __lowerCamelCase	,   __lowerCamelCase	,   __lowerCamelCase	,   __lowerCamelCase	,   __lowerCamelCase	,   __lowerCamelCase	,   __lowerCamelCase	,   )

      _UpperCAmelCase       :       List[str]							   =pass_and_relaxation(
          __lowerCamelCase	,   __lowerCamelCase	,   __lowerCamelCase	,   __lowerCamelCase	,   __lowerCamelCase	,   __lowerCamelCase	,   __lowerCamelCase	,   __lowerCamelCase	,   __lowerCamelCase	,   )

      if cst_fwd[v_fwd] + cst_bwd[v_bwd] >= shortest_distance:
         break

   if shortest_distance != np.inf:
      _UpperCAmelCase       :       Optional[int]							   =shortest_distance
   return shortest_path_distance


lowercase							={
    'B': [['C', 1]],
    'C': [['D', 1]],
    'D': [['F', 1]],
    'E': [['B', 1], ['G', 2]],
    'F': [],
    'G': [['F', 1]],
}
lowercase							={
    'B': [['E', 1]],
    'C': [['B', 1]],
    'D': [['C', 1]],
    'F': [['D', 1], ['G', 1]],
    'E': [[None, np.inf]],
    'G': [['E', 2]],
}

if __name__ == "__main__":
 import doctest

 doctest.testmod()





'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


lowercase							={
    'configuration_groupvit': [
        'GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'GroupViTConfig',
        'GroupViTOnnxConfig',
        'GroupViTTextConfig',
        'GroupViTVisionConfig',
    ],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowercase							=[
     'GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
     'GroupViTModel',
     'GroupViTPreTrainedModel',
     'GroupViTTextModel',
     'GroupViTVisionModel',
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowercase							=[
     'TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
     'TFGroupViTModel',
     'TFGroupViTPreTrainedModel',
     'TFGroupViTTextModel',
     'TFGroupViTVisionModel',
 ]

if TYPE_CHECKING:
 from .configuration_groupvit import (
     GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
     GroupViTConfig,
     GroupViTOnnxConfig,
     GroupViTTextConfig,
     GroupViTVisionConfig,
 )

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_groupvit import (
      GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
      GroupViTModel,
      GroupViTPreTrainedModel,
      GroupViTTextModel,
      GroupViTVisionModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_groupvit import (
      TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
      TFGroupViTModel,
      TFGroupViTPreTrainedModel,
      TFGroupViTTextModel,
      TFGroupViTVisionModel,
  )

else:
 import sys

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

