





from queue import PriorityQueue
from typing import Any

import numpy as np




def 					lowercase__    (					lowercase_		,lowercase_		,lowercase_		,lowercase_		,lowercase_		,lowercase_		,lowercase_		,lowercase_		,lowercase_		,)					->		float | int:




      """simple docstring"""

      for nxt, d in graph[v]:
            if nxt in visited_forward:
                  continue
            _UpperCamelCase      :	List[str]						=       cst_fwd.get(UpperCamelCase__		,np.inf			)
            _UpperCamelCase      :	str						=       cst_fwd[v] + d
            if new_cost_f < old_cost_f:
                  queue.put((new_cost_f, nxt)			)
                  _UpperCamelCase      :	List[Any]						=       new_cost_f
                  _UpperCamelCase      :	Tuple						=       v
            if nxt in visited_backward:
                  if cst_fwd[v] + d + cst_bwd[nxt] < shortest_distance:
                        _UpperCamelCase      :	Any						=       cst_fwd[v] + d + cst_bwd[nxt]
      return shortest_distance




def 					lowercase__    (					lowercase_		,lowercase_		,lowercase_		,lowercase_			)					->		int:




      """simple docstring"""

      _UpperCamelCase      :	Any						=       -1

      _UpperCamelCase      :	Dict						=       set()
      _UpperCamelCase      :	int						=       set()
      _UpperCamelCase      :	Tuple						=       {source: 0}
      _UpperCamelCase      :	Optional[Any]						=       {destination: 0}
      _UpperCamelCase      :	Dict						=       {source: None}
      _UpperCamelCase      :	List[Any]						=       {destination: None}
      _UpperCamelCase      :	List[Any]						=       PriorityQueue()
      _UpperCamelCase      :	int						=       PriorityQueue()

      _UpperCamelCase      :	Dict						=       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      :	Optional[int]						=       queue_forward.get()
            visited_forward.add(UpperCamelCase__			)

            _UpperCamelCase,  _UpperCamelCase      :	str						=       queue_backward.get()
            visited_backward.add(UpperCamelCase__			)

            _UpperCamelCase      :	str						=       pass_and_relaxation(
                UpperCamelCase__		,UpperCamelCase__		,UpperCamelCase__		,UpperCamelCase__		,UpperCamelCase__		,UpperCamelCase__		,UpperCamelCase__		,UpperCamelCase__		,UpperCamelCase__		,)

            _UpperCamelCase      :	List[str]						=       pass_and_relaxation(
                UpperCamelCase__		,UpperCamelCase__		,UpperCamelCase__		,UpperCamelCase__		,UpperCamelCase__		,UpperCamelCase__		,UpperCamelCase__		,UpperCamelCase__		,UpperCamelCase__		,)

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

      if shortest_distance != np.inf:
            _UpperCamelCase      :	Any						=       shortest_distance
      return shortest_path_distance


lowerCamelCase__				  =   {
    "B": [["C", 1]],
    "C": [["D", 1]],
    "D": [["F", 1]],
    "E": [["B", 1], ["G", 2]],
    "F": [],
    "G": [["F", 1]],
}
lowerCamelCase__				  =   {
    "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_torch_available, is_vision_available


lowerCamelCase__				  =   {
    "configuration_mask2former": [
        "MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Mask2FormerConfig",
    ],
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowerCamelCase__				  =   ["Mask2FormerImageProcessor"]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowerCamelCase__				  =   [
      "MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
      "Mask2FormerForUniversalSegmentation",
      "Mask2FormerModel",
      "Mask2FormerPreTrainedModel",
  ]

if TYPE_CHECKING:
  from .configuration_maskaformer import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskaFormerConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_maskaformer import MaskaFormerImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_maskaformer import (
        MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        MaskaFormerForUniversalSegmentation,
        MaskaFormerModel,
        MaskaFormerPreTrainedModel,
    )


else:
  import sys

  lowerCamelCase__				  =   _LazyModule(__name__, globals()["__file__"], _import_structure)
