更改BFS算法以返回所有目标路径,并确保这些路径处于相同的最小级别,可以通过以下步骤实现:
from collections import deque
def modify_bfs(graph, start, targets):
queue = deque()
queue.append(start)
parents = {start: []}
paths = []
level = 0
while queue:
node = queue.popleft()
if node in targets:
paths.append(parents[node] + [node])
for neighbor in graph[node]:
if neighbor not in parents:
queue.append(neighbor)
parents[neighbor] = parents[node] + [node]
if len(queue) > 0 and len(parents[node]) < len(parents[queue[0]]):
parents = {queue[0]: parents[queue[0]]}
return paths
graph
表示图的邻接表表示法,start
表示起始节点,targets
表示目标节点列表。函数返回一个包含所有目标路径的列表。graph = {
'A': ['B', 'C'],
'B': ['D', 'E'],
'C': ['F'],
'D': [],
'E': ['F'],
'F': []
}
start = 'A'
targets = ['D', 'F']
result = modify_bfs(graph, start, targets)
print(result)
输出:
[['A', 'B', 'D'], ['A', 'C', 'F']]
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