-
-
Save mzmmoazam/ecca2a5035cc742f042360172c53e8de to your computer and use it in GitHub Desktop.
Python implementation of Dijkstra's Algorithm
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
class Graph: | |
def __init__(self): | |
self.nodes = set() | |
self.edges = defaultdict(list) | |
self.distances = {} | |
def add_node(self, value): | |
self.nodes.add(value) | |
def add_edge(self, from_node, to_node, distance): | |
self.edges[from_node].append(to_node) | |
self.edges[to_node].append(from_node) | |
self.distances[(from_node, to_node)] = distance | |
def dijsktra(graph, initial): | |
visited = {initial: 0} | |
path = {} | |
nodes = set(graph.nodes) | |
while nodes: | |
min_node = None | |
for node in nodes: | |
if node in visited: | |
if min_node is None: | |
min_node = node | |
elif visited[node] < visited[min_node]: | |
min_node = node | |
if min_node is None: | |
break | |
nodes.remove(min_node) | |
current_weight = visited[min_node] | |
for edge in graph.edges[min_node]: | |
weight = current_weight + graph.distance[(min_node, edge)] | |
if edge not in visited or weight < visited[edge]: | |
visited[edge] = weight | |
path[edge] = min_node | |
return visited, path |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment