我是python的新手,但是具有C#和Matlab的大学经验。我正在尝试编写并运行dijkstras算法,但是当我运行它时,什么也没发生。我将附上代码(包括注释掉的失败尝试),以希望有人可以指导我朝正确的方向发展。
#must write script to turn matrix into this form of graph
graph = {'a':{'c':3,'e':5},'c':{'a':3,'d':5},'d':{'c':3,'e':6},'e':
{'d':6,'a':5}}
unseenNodes = {}
goal = {}
start = {}
#defining function
def dijkstra(graph, start, goal):
shortest_distance = {} #empty dictionary
predeccesor = {} #empty dictionary
unseenNodes = graph #makes it run through til all are seen
path = []
def __init__(self):
#start node to next node
print( str("hi"))
for node in unseenNodes:
shortest_distance[node]=9999999
shortest_distance[start]=0
print(shortest_distance)
#beefy bit of dijkstras alogrithim
while unseenNodes:
minNode=None
for node in unseenNodes:
if minNode is None:
minNode = node
elif shortest_distance[node] < shortest_distance[minNode]:
minNode = node
for childNode, weight in graph [minNode].items():
if weight + shortest_distance[minNode] <
shortest_distance[childNode]:
shortest_distance[childNode] = weight + shortest_distance[minNode]
predeccesor[childNode] = minNode
unseenNodes.pop(minNode)
print(shortest_distance)
#reverse stack approach to trace path
currentNode = goal
while currentNode != start:
try:
path.insert(0,currentNode)
currentNode = predeccesor[currentNode]
except KeyError:
print('path not valid')
#break
path.insert(0,start)
if shortest_distance[goal] != infinity:
#print(goal)
print('shortest distance is' + str(shortest_distance[goal]))
print('path is' + str(path))
else:
Print('Something Went Wrong!')
#break
dijkstra(graph, 'a', 'd')
答案 0 :(得分:2)
您的dijkstra函数仅执行这四行代码,因为它们是定义第二个函数之前的唯一几行代码。因此,当您最后调用此函数时,程序将创建一些空字典,然后关闭:
shortest_distance = {} #empty dictionary
predeccesor = {} #empty dictionary
unseenNodes = graph #makes it run through til all are seen
path = []
您定义的第二个函数 init ()是一个类方法,您不能在类外部定义它。
首先查看python中的一些更基本的算法,并熟悉语法(我不知道它与C#有何不同)。
答案 1 :(得分:0)
好的,所以我修复了代码的缩进,作用域和名称问题(请参见下文),并且出现了以下错误
hi
{'a': 0}
{'a': 0, 'c': 9999999}
{'a': 0, 'c': 9999999, 'd': 9999999}
{'a': 0, 'c': 9999999, 'd': 9999999, 'e': 9999999}
{'a': 0, 'c': 3, 'd': 9999999, 'e': 9999999}
Traceback (most recent call last):
File "dijkstras.py", line 69, in <module>
dijkstra(graph, 'a', 'd')
File "dijkstras.py", line 47, in dijkstra
unseen_nodes.pop(minNode)
KeyError: 'a'
也许这可以帮助您继续吗?
#! /usr/bin/env python3
# dijkstras.py
import math
# must write script to turn matrix into this form of graph
graph = {
'a': {'c': 3, 'e': 5},
'c': {'a': 3, 'd': 5},
'd': {'c': 3, 'e': 6},
'e': {'d': 6, 'a': 5}
}
# defining function
def dijkstra(graph, start, goal):
shortest_distance = {} # empty dictionary
predeccesor = {} # empty dictionary
unseen_nodes = graph # makes it run through til all are seen
path = []
# start node to next node
print(str("hi"))
for node in unseen_nodes:
shortest_distance[node] = 9999999
shortest_distance[start] = 0
print(shortest_distance)
# beefy bit of dijkstras alogrithim
while unseen_nodes:
min_node = None
for node in unseen_nodes:
if min_node is None:
min_node = node
elif shortest_distance[node] < shortest_distance[min_node]:
min_node = node
for childNode, weight in graph[min_node].items():
if weight + shortest_distance[min_node] < shortest_distance[childNode]:
shortest_distance[childNode] = weight + shortest_distance[min_node]
predeccesor[childNode] = min_node
unseen_nodes.pop(min_node)
print(shortest_distance)
# reverse stack approach to trace path
current_node = goal
while current_node != start:
try:
path.insert(0, current_node)
current_node = predeccesor[current_node]
except KeyError:
print('path not valid')
# break
path.insert(0, start)
if shortest_distance[goal] != math.inf:
# print(goal)
print('shortest distance is' + str(shortest_distance[goal]))
print('path is' + str(path))
else:
print('Something Went Wrong!')
if __name__ == '__main__': # only run if script
dijkstra(graph, 'a', 'd')
答案 2 :(得分:0)
您只需进行一次更改
def __init__(self): function
。__ init __ 函数在 class 中用于初始化 对象的变量。
您无法调用__init__
函数,这就是为什么您未获得任何输出的原因。