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@mazharul
Created June 13, 2012 18:43
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import sys
def shortestpath(graph,start,end,visited=[],distances={},predecessors={}):
"""Find the shortest path between start and end nodes in a graph"""
# we've found our end node, now find the path to it, and return
if start==end:
path=[]
while end != None:
path.append(end)
end=predecessors.get(end,None)
return distances[start], path[::-1]
# detect if it's the first time through, set current distance to zero
if not visited: distances[start]=0
# process neighbors as per algorithm, keep track of predecessors
for neighbor in graph[start]:
if neighbor not in visited:
neighbordist = distances.get(neighbor,sys.maxint)
tentativedist = distances[start] + graph[start][neighbor]
if tentativedist < neighbordist:
distances[neighbor] = tentativedist
predecessors[neighbor]=start
# neighbors processed, now mark the current node as visited
visited.append(start)
# finds the closest unvisited node to the start
unvisiteds = dict((k, distances.get(k,sys.maxint)) for k in graph if k not in visited)
closestnode = min(unvisiteds, key=unvisiteds.get)
# now we can take the closest node and recurse, making it current
return shortestpath(graph,closestnode,end,visited,distances,predecessors)
if __name__ == "__main__":
graph = {'a': {'w': 14, 'x': 7, 'y': 9},
'b': {'w': 9, 'z': 6},
'w': {'a': 14, 'b': 9, 'y': 2},
'x': {'a': 7, 'y': 10, 'z': 15},
'y': {'a': 9, 'w': 2, 'x': 10, 'z': 11},
'z': {'b': 6, 'x': 15, 'y': 11}}
print shortestpath(graph,'a','b')
"""
Result:
(20, ['a', 'y', 'w', 'b'])
"""
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