






from queue import PriorityQueue
from typing import Any

import numpy as np







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







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							str					,  snake_case_ :							str					,  snake_case_ :							dict					,  snake_case_ :							dict       ):
	snake_case__			:				Dict       =  -1

	snake_case__			:				int       =  set()
	snake_case__			:				Union[str, Any]       =  set()
	snake_case__			:				Any       =  {source: 0}
	snake_case__			:				Tuple       =  {destination: 0}
	snake_case__			:				Any       =  {source: None}
	snake_case__			:				Any       =  {destination: None}
	snake_case__			:				PriorityQueue[Any]       =  PriorityQueue()
	snake_case__			:				PriorityQueue[Any]       =  PriorityQueue()

	snake_case__			:				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():
		snake_case__			:				Union[str, Any]       =  queue_forward.get()
		visited_forward.add(snake_case_       )

		snake_case__			:				Optional[Any]       =  queue_backward.get()
		visited_backward.add(snake_case_       )

		snake_case__			:				List[Any]       =  pass_and_relaxation(
		    snake_case_					,  snake_case_					,  snake_case_					,  snake_case_					,  snake_case_					,  snake_case_					,  snake_case_					,  snake_case_					,  snake_case_					,  )

		snake_case__			:				str       =  pass_and_relaxation(
		    snake_case_					,  snake_case_					,  snake_case_					,  snake_case_					,  snake_case_					,  snake_case_					,  snake_case_					,  snake_case_					,  snake_case_					,  )

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

	if shortest_distance != np.inf:
		snake_case__			:				str       =  shortest_distance
	return shortest_path_distance


__lowerCamelCase :      str										=				{
    """B""": [["""C""", 1]],
    """C""": [["""D""", 1]],
    """D""": [["""F""", 1]],
    """E""": [["""B""", 1], ["""G""", 2]],
    """F""": [],
    """G""": [["""F""", 1]],
}
__lowerCamelCase :      Any										=				{
    """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()











from datetime import datetime

import matplotlib.pyplot as plt
import torch







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							int       ):
	for param in module.parameters():
		snake_case__			:				Tuple       =  False







def 					SCREAMING_SNAKE_CASE    (			):
	snake_case__			:				Any       =  "cuda" if torch.cuda.is_available() else "cpu"
	if torch.backends.mps.is_available() and torch.backends.mps.is_built():
		snake_case__			:				List[Any]       =  "mps"
	if device == "mps":
		print(
		    "WARNING: MPS currently doesn't seem to work, and messes up backpropagation without any visible torch"
		    " errors. I recommend using CUDA on a colab notebook or CPU instead if you're facing inexplicable issues"
		    " with generations."       )
	return device







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							str       ):
	snake_case__			:				List[str]       =  plt.imshow(snake_case_       )
	fig.axes.get_xaxis().set_visible(snake_case_       )
	fig.axes.get_yaxis().set_visible(snake_case_       )
	plt.show()







def 					SCREAMING_SNAKE_CASE    (			):
	snake_case__			:				str       =  datetime.now()
	snake_case__			:				Optional[Any]       =  current_time.strftime("%H:%M:%S"       )
	return timestamp



