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克隆图.py
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# 给定无向连通图中一个节点的引用,返回该图的深拷贝(克隆)。图中的每个节点都包含它的值 val(Int) 和其邻居的列表(list[Node])。
#
# 示例:
#
#
#
# 输入:
# {"$id":"1","neighbors":[{"$id":"2","neighbors":[{"$ref":"1"},{"$id":"3","neighbors":[{"$ref":"2"},{"$id":"4","neighbors":[{"$ref":"3"},{"$ref":"1"}],"val":4}],"val":3}],"val":2},{"$ref":"4"}],"val":1}
#
# 解释:
# 节点 1 的值是 1,它有两个邻居:节点 2 和 4 。
# 节点 2 的值是 2,它有两个邻居:节点 1 和 3 。
# 节点 3 的值是 3,它有两个邻居:节点 2 和 4 。
# 节点 4 的值是 4,它有两个邻居:节点 1 和 3 。
"""
# Definition for a Node.
class Node:
def __init__(self, val, neighbors):
self.val = val
self.neighbors = neighbors
"""
class Solution:
def cloneGraph(self, node: 'Node') -> 'Node':
lookup = {}
def dfs(node):
if not node: return
if node in lookup:
return lookup[node]
clone = Node(node.val, [])
lookup[node] = clone
for n in node.neighbors:
clone.neighbors.append(dfs(n))
return clone
return dfs(node)