





import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_a						=   logging.get_logger(__name__)






class       __A					(					lowerCAmelCase				):

			'''simple docstring'''







			lowerCAmelCase_							  =		"""encoder-decoder"""
			lowerCAmelCase_							  =		True





			def __init__(					self ,						**__lowerCAmelCase							):



				'''simple docstring'''







				super().__init__(**__lowerCAmelCase							)
				assert (
				    "encoder" in kwargs and "decoder" in kwargs
				), "Config has to be initialized with encoder and decoder config"
				lowerCamelCase__              =	kwargs.pop('''encoder'''							)
				lowerCamelCase__              =	encoder_config.pop('''model_type'''							)
				lowerCamelCase__              =	kwargs.pop('''decoder'''							)
				lowerCamelCase__              =	decoder_config.pop('''model_type'''							)

				from ..auto.configuration_auto import AutoConfig

				lowerCamelCase__              =	AutoConfig.for_model(__lowerCAmelCase ,						**__lowerCAmelCase							)
				lowerCamelCase__              =	AutoConfig.for_model(__lowerCAmelCase ,						**__lowerCAmelCase							)
				lowerCamelCase__              =	True





			@classmethod
			def 	__lowerCamelCase       (					cls ,						__lowerCAmelCase ,						__lowerCAmelCase ,						**__lowerCAmelCase							):



				'''simple docstring'''







				logger.info('''Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''							)
				lowerCamelCase__              =	True
				lowerCamelCase__              =	True

				return cls(encoder=encoder_config.to_dict() ,						decoder=decoder_config.to_dict() ,						**__lowerCAmelCase							)





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	copy.deepcopy(self.__dict__							)
				lowerCamelCase__              =	self.encoder.to_dict()
				lowerCamelCase__              =	self.decoder.to_dict()
				lowerCamelCase__              =	self.__class__.model_type
				return output










from queue import PriorityQueue
from typing import Any

import numpy as np





def lowerCAmelCase__(__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,)       ->   float | int:







	'''simple docstring'''







	for nxt, d in graph[v]:
		if nxt in visited_forward:
			continue
		lowerCamelCase__              =	cst_fwd.get(__snake_case ,np.inf							)
		lowerCamelCase__              =	cst_fwd[v] + d
		if new_cost_f < old_cost_f:
			queue.put((new_cost_f, nxt)							)
			lowerCamelCase__              =	new_cost_f
			lowerCamelCase__              =	v
		if nxt in visited_backward:
			if cst_fwd[v] + d + cst_bwd[nxt] < shortest_distance:
				lowerCamelCase__              =	cst_fwd[v] + d + cst_bwd[nxt]
	return shortest_distance





def lowerCAmelCase__(__snake_case ,__snake_case ,__snake_case ,__snake_case							)       ->   int:







	'''simple docstring'''







	lowerCamelCase__              =	-1

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

	lowerCamelCase__              =	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():
		lowerCamelCase__       ,			lowerCamelCase__              =	queue_forward.get()
		visited_forward.add(__snake_case							)

		lowerCamelCase__       ,			lowerCamelCase__              =	queue_backward.get()
		visited_backward.add(__snake_case							)

		lowerCamelCase__              =	pass_and_relaxation(
		    __snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,)

		lowerCamelCase__              =	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:
		lowerCamelCase__              =	shortest_distance
	return shortest_path_distance


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



