





'''simple docstring'''







from queue import PriorityQueue
from typing import Any

import numpy as np

def    __UpperCamelCase	(	a    : dict					,   a    : str					,   a    : set					,   a    : set					,   a    : dict					,   a    : dict					,   a    : PriorityQueue					,   a    : dict					,   a    : float | int					,   ) ->float | int:
 for nxt, d in graph[v]:
  if nxt in visited_forward:
   continue
  snake_case				=			cst_fwd.get(a					,   np.inf     )
  snake_case				=			cst_fwd[v] + d
  if new_cost_f < old_cost_f:
   queue.put((new_cost_f, nxt)     )
   snake_case				=			new_cost_f
   snake_case				=			v
  if nxt in visited_backward:
   if cst_fwd[v] + d + cst_bwd[nxt] < shortest_distance:
    snake_case				=			cst_fwd[v] + d + cst_bwd[nxt]
 return shortest_distance

def    __UpperCamelCase	(	a    : str					,   a    : str					,   a    : dict					,   a    : dict     ) ->int:
 snake_case				=			-1

 snake_case				=			set()
 snake_case				=			set()
 snake_case				=			{source: 0}
 snake_case				=			{destination: 0}
 snake_case				=			{source: None}
 snake_case				=			{destination: None}
 snake_case				=			PriorityQueue()
 snake_case				=			PriorityQueue()

 snake_case				=			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():
  snake_case				,		snake_case				=			queue_forward.get()
  visited_forward.add(a     )

  snake_case				,		snake_case				=			queue_backward.get()
  visited_backward.add(a     )

  snake_case				=			pass_and_relaxation(
      a					,   a					,   a					,   a					,   a					,   a					,   a					,   a					,   a					,   )

  snake_case				=			pass_and_relaxation(
      a					,   a					,   a					,   a					,   a					,   a					,   a					,   a					,   a					,   )

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

 if shortest_distance != np.inf:
  snake_case				=			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 ...utils import is_note_seq_available, is_transformers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


try:
   if not (is_transformers_available() and is_torch_available()):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
   from .notes_encoder import SpectrogramNotesEncoder
   from .continous_encoder import SpectrogramContEncoder
   from .pipeline_spectrogram_diffusion import (
       SpectrogramContEncoder,
       SpectrogramDiffusionPipeline,
       TaFilmDecoder,
   )

try:
   if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_transformers_and_torch_and_note_seq_objects import *  # noqa F403
else:
   from .midi_utils import MidiProcessor

