Iteratif DFS Python
G = {
'A': {'C'},
'B': {'A'},
'C': {'B', 'D', 'E'},
'D': {},
'E': {}
}
def getNeighbors(vertex):
return list(G[vertex])
# iterative dfs in Python
def dfs(root, target):
stk = [] # stack (LIFO)
visited = set() # keep track of vertices we've seen before
stk.insert(0, root) # push root to top of stack
visited.add(root) # mark root (start point) as visited
while len(stk): # while our stk is not empty
top = stk.pop(0)
if top == target: # is top of stk our target?
return True # we found a path from root to target in our graph!
for neighbor in getNeighbors(top): # you must write a 'getNeighbor' function
# this function should return all the vertices connected to root
if neighbor in visited: continue # don't revisit vertices!
visited.add(neighbor) # mark neighbor as visited
stk.insert(0, neighbor) # add neighbor to our stack
return False # we went through every path from 'root' and didn't find 'target'
result = dfs('C', 'E')
print(result)
Playful Python