Create Depth First Search(Weighted Graph).py

Python/Depth First Search(Weighted Graph).py

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+# Using a Python dictionary to act as an adjacency list
+graph = {
+  'A' : [[8,'B'],[5,'E']],
+  'B' : [[2,'D'],[1,'C']],
+  'E' : [[1,'G']],
+  'G' : [],
+  'C' : [[3,'F']],
+  'F' : [[4,'G']],
+  'D' : [[3,'E']]
+
+}  
+print("The Path Is = ",end = " ")
+found=0
+visited = set()
+def dfs(visited, graph, node,goal):
+    global found
+    if found==1:
+        return
+    elif node not in visited:
+        print(node,end=" ")
+        if node ==goal:
+            print ("\n***Goal Found***")
+            found=1 
+            return
+        visited.add(node)
+        templist=graph[node]
+        templist.sort()
+        for neighbour in templist:
+            if len(neighbour)>0:
+                dfs(visited, graph,neighbour[1],'G')
+dfs(visited, graph, 'A','G')