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* organized graph algorithms * all graph algorithms in Graphs/ folder * all graph algorithms are in one folder * Rename number theory/factorial_python.py to maths/factorial_python.py
68 lines
1.7 KiB
Python
68 lines
1.7 KiB
Python
#!/usr/bin/python
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# encoding=utf8
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""" Author: OMKAR PATHAK """
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from __future__ import print_function
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class Graph():
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def __init__(self):
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self.vertex = {}
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# for printing the Graph vertexes
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def printGraph(self):
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for i in self.vertex.keys():
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print(i,' -> ', ' -> '.join([str(j) for j in self.vertex[i]]))
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# for adding the edge beween two vertexes
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def addEdge(self, fromVertex, toVertex):
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# check if vertex is already present,
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if fromVertex in self.vertex.keys():
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self.vertex[fromVertex].append(toVertex)
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else:
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# else make a new vertex
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self.vertex[fromVertex] = [toVertex]
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def BFS(self, startVertex):
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# Take a list for stoting already visited vertexes
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visited = [False] * len(self.vertex)
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# create a list to store all the vertexes for BFS
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queue = []
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# mark the source node as visited and enqueue it
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visited[startVertex] = True
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queue.append(startVertex)
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while queue:
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startVertex = queue.pop(0)
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print(startVertex, end = ' ')
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# mark all adjacent nodes as visited and print them
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for i in self.vertex[startVertex]:
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if visited[i] == False:
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queue.append(i)
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visited[i] = True
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if __name__ == '__main__':
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g = Graph()
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g.addEdge(0, 1)
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g.addEdge(0, 2)
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g.addEdge(1, 2)
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g.addEdge(2, 0)
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g.addEdge(2, 3)
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g.addEdge(3, 3)
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g.printGraph()
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print('BFS:')
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g.BFS(2)
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# OUTPUT:
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# 0 -> 1 -> 2
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# 1 -> 2
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# 2 -> 0 -> 3
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# 3 -> 3
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# BFS:
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# 2 0 3 1
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