Clone Graph

Similar Problems:

- Tag: #basic

Clone an undirected graph. Each node in the graph contains a label and a list of its neighbors.

OJ’s undirected graph serialization:

Nodes are labeled uniquely.

We use # as a separator for each node, and , as a separator for node label and each neighbor of the node.

As an example, consider the serialized graph {0,1,2#1,2#2,2}.

The graph has a total of three nodes, and therefore contains three parts as separated by #.

- First node is labeled as 0. Connect node 0 to both nodes 1 and 2.
- Second node is labeled as 1. Connect node 1 to node 2.
- Third node is labeled as 2. Connect node 2 to node 2 (itself), thus forming a self-cycle.
- Visually, the graph looks like the following:

1 / \ / \ 0 --- 2 / \ \_/

Github: code.dennyzhang.com

Credits To: leetcode.com

Leave me comments, if you have better ways to solve.

## Blog link: https://code.dennyzhang.com/clone-graph ## Basic Ideas: Use a hashmap ## For each new node, create one. ## Scan its neighbors, if found new nodes. Create them. And update mapping ## Update children ## ## Complexity: Time O(n*n), Space O(n). ## # Definition for a undirected graph node # class UndirectedGraphNode: # def __init__(self, x): # self.label = x # self.neighbors = [] class Solution: # @param node, a undirected graph node # @return a undirected graph node def cloneGraph(self, node): if node is None: return None d = {} self.DFSClone(node, d) return d[node][0] def DFSClone(self, node, d): if node is None: return None if node not in d: newNode = UndirectedGraphNode(node.label) d[node] = (newNode, False) (newNode, has_finished) = d[node] if has_finished is True: return newNode # mark as DONE to avoid duplicate visits d[node] = (newNode, True) for neighbor in node.neighbors: newNeighbor = self.DFSClone(neighbor, d) newNode.neighbors.append(newNeighbor) return newNode

Share It, If You Like It.