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Copy pathgraph_search.py
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75 lines (65 loc) · 2.29 KB
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class GraphSearch:
"""Graph search emulation in python, from source http://www.python.org/doc/essays/graphs/"""
def __init__(self, graph):
self.graph = graph
def find_path(self, start, end, path=[]):
self.start = start
self.end = end
self.path = path
self.path+=[self.start]
if self.start == self.end:
return self.path
if not self.graph.has_key(self.start):
return None
for node in self.graph[self.start]:
if node not in self.path:
newpath = self.find_path(node, self.end, self.path)
if newpath:
return newpath
return None
def find_all_path(self, start, end, path=[]):
self.start = start
self.end = end
self.path = path
self.path+=[self.start]
if self.start == self.end:
return [self.path]
if not self.graph.has_key(self.start):
return []
paths=[]
for node in self.graph[self.start]:
if node not in self.path:
newpaths = self.find_all_path(node, self.end, self.path)
for newpath in newpaths:
paths.append(newpath)
return paths
def find_shortest_path(self, start, end, path=[]):
self.start = start
self.end = end
self.path = path
self.path+=[self.start]
if self.start == self.end:
return self.path
if not self.graph.has_key(self.start):
return None
shortest = None
for node in self.graph[self.start]:
if node not in self.path:
newpath = self.find_shortest_path(node, self.end, self.path)
if newpath:
if not shortest or len(newpath) < len(shortest):
shortest = newpath
return shortest
#example of graph usage
graph = {'A':['B', 'C'],
'B': ['C', 'D'],
'C': ['D'],
'D': ['C'],
'E': ['F'],
'F': ['C']
}
#inistialization of new graph search object
graph1 = GraphSearch(graph)
print graph1.find_path('A', 'D')
print graph1.find_all_path('A', 'D')
print graph1.find_shortest_path('A', 'D')