DFS & BFS in graph

Graphs/Breadth_First_Search.py

@@ -1,45 +1,35 @@
-class Graph:
+class GRAPH:
+    """docstring for GRAPH"""
+    def __init__(self, nodes):
+        self.nodes=nodes
+        self.graph=[[0]*nodes for i in range (nodes)]
+        self.visited=[0]*nodes
 
-    def __init__(self, vertex):
-        self.vertex = vertex
-        self.graph = [[0] * vertex for i in range(vertex) ]
-
-    def add_edge(self, u, v):
-        self.graph[u - 1][v - 1] = 1
-        self.graph[v - 1][u - 1] = 1
 
     def show(self):
-
-        for i in self.graph:
-            for j in i:
-                print(j, end=' ')
-            print(' ')
-    def bfs(self,v):
-
-        visited = [False]*self.vertex
-        visited[v - 1] = True
-        print('%d visited' % (v))
-
-        queue = [v - 1]
-        while len(queue) > 0:
-            v = queue[0]
-            for u in range(self.vertex):
-                if self.graph[v][u] == 1:
-                    if visited[u]== False:
-                        visited[u] = True
-                        queue.append(u)
-                        print('%d visited' % (u +1))
-            queue.pop(0)
-
-g = Graph(10)
-
-g.add_edge(1,2)
-g.add_edge(1,3)
-g.add_edge(1,4)
-g.add_edge(2,5)
-g.add_edge(3,6)
-g.add_edge(3,7)
-g.add_edge(4,8)
-g.add_edge(5,9)
-g.add_edge(6,10)
-g.bfs(1)
+        print self.graph
+
+    def add_edge(self, i, j):
+        self.graph[i][j]=1
+        self.graph[j][i]=1
+
+    def bfs(self,s):
+        queue=[s]
+        while len(queue)!=0:
+            x=queue.pop(0)
+            print(x)
+            self.visited[x]=1
+            for i in range(0,self.nodes):
+                if self.graph[x][i]==1 and self.visited[i]==0:
+                    queue.append(i)     
+                    self.visited[i]=1
+
+n=int(input("Enter the number of Nodes : "))
+g=GRAPH(n)
+e=int(input("Enter the no of edges : "))
+print("Enter the edges (u v)")
+for i in range(0,e):
+    u,v=map(int, raw_input().split())
+    g.add_edge(u,v)
+s=int(input("Enter the source node :"))
+g.bfs(s)

Graphs/Deep_First_Search.py

@@ -1,33 +1,32 @@
-class Graph:
+class GRAPH:
+    """docstring for GRAPH"""
+    def __init__(self, nodes):
+        self.nodes=nodes
+        self.graph=[[0]*nodes for i in range (nodes)]
+        self.visited=[0]*nodes
 
-    def __init__(self, vertex):
-        self.vertex = vertex
-        self.graph = [[0] * vertex for i in range(vertex) ]
-        self.visited = [False] * vertex
 
-    def add_edge(self, u, v):
-        self.graph[u - 1][v - 1] = 1
-        self.graph[v - 1][u - 1] = 1
     def show(self):
+        print self.graph
 
-        for i in self.graph:
-            for j in i:
-                print(j, end=' ')
-            print(' ')
+    def add_edge(self, i, j):
+        self.graph[i][j]=1
+        self.graph[j][i]=1
 
-
-    def dfs(self, u):
-        self.visited[u - 1] = True
-        print('%d visited' % u)
-        for i in range(1, self.vertex + 1):
-            if self.graph[u - 1][i - 1] == 1 and self.visited[i - 1] == False:
+    def dfs(self,s):
+        self.visited[s]=1
+        print(s)
+        for i in range(0,self.nodes):
+            if self.visited[i]==0 and self.graph[s][i]==1:
                 self.dfs(i)
+
 
-
-g = Graph(5)
-g.add_edge(1,4)
-g.add_edge(4,2)
-g.add_edge(4,5)
-g.add_edge(2,5)
-g.add_edge(5,3)
-g.dfs(1)
+n=int(input("Enter the number of Nodes : "))
+g=GRAPH(n)
+e=int(input("Enter the no of edges : "))
+print("Enter the edges (u v)")
+for i in range(0,e):
+    u,v=map(int, raw_input().split())
+    g.add_edge(u,v)
+s=int(input("Enter the source node :"))
+g.dfs(s)