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Topological_sort.py
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#Python program to print topological sorting of a DAG | ||
from collections import defaultdict | ||
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#Class to represent a graph | ||
class Graph: | ||
def __init__(self,vertices): | ||
self.graph = defaultdict(list) #dictionary containing adjacency List | ||
self.V = vertices #No. of vertices | ||
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# function to add an edge to graph | ||
def addEdge(self,u,v): | ||
self.graph[u].append(v) | ||
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# A recursive function used by topologicalSort | ||
def topologicalSortUtil(self,v,visited,stack): | ||
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# Mark the current node as visited. | ||
visited[v] = True | ||
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# Recur for all the vertices adjacent to this vertex | ||
for i in self.graph[v]: | ||
if visited[i] == False: | ||
self.topologicalSortUtil(i,visited,stack) | ||
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# Push current vertex to stack which stores result | ||
stack.insert(0,v) | ||
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# The function to do Topological Sort. It uses recursive | ||
# topologicalSortUtil() | ||
def topologicalSort(self): | ||
# Mark all the vertices as not visited | ||
visited = [False]*self.V | ||
stack =[] | ||
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# Call the recursive helper function to store Topological | ||
# Sort starting from all vertices one by one | ||
for i in range(self.V): | ||
if visited[i] == False: | ||
self.topologicalSortUtil(i,visited,stack) | ||
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# Print contents of stack | ||
print stack | ||
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g= Graph(6) | ||
g.addEdge(5, 2); | ||
g.addEdge(5, 0); | ||
g.addEdge(4, 0); | ||
g.addEdge(4, 1); | ||
g.addEdge(2, 3); | ||
g.addEdge(3, 1); | ||
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print "Following is a Topological Sort of the given graph" | ||
g.topologicalSort() |