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leetcode || 133、Clone Graph

2015-04-29 10:32 405 查看
problem:

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
/ \
\_/


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题意:复制图(结构和数据不变,要新建节点)

thinking:

(1)要新建图的各个节点,维持邻接关系不变。

(2)采用unordered_map<UndirectedGraphNode*, UndirectedGraphNode*> 存储原节点和新节点。而不是unordered_map<int, UndirectedGraphNode*>,

效率要高很多

(3)采用BFS思想,将原节点的邻接节点全部入栈或堆栈,遍历节点。

(4)map中查找key是否存在可以调用find(),也可以调用count(),后者效率更高

(5)提交没通过,结果不正确:

Input:{0,1,5#1,2,5#2,3#3,4,4#4,5,5#5}

Output:{0,5,1#1,5,2#2,3#3,4,4#4,5,5#5}

Expected:{0,1,5#1,2,5#2,3#3,4,4#4,5,5#5}

其实,结果是正确的,因为对于无向图,节点出现的顺序不影响图的结构,只能说这个验证程序只验证了一种结果

code:

class Solution {
public:
UndirectedGraphNode *cloneGraph(UndirectedGraphNode *node) {
unordered_map<UndirectedGraphNode*, UndirectedGraphNode*> record;
if(node == NULL)
return node;

stack<UndirectedGraphNode*> queue;
queue.push(node);

while(!queue.empty()) {
UndirectedGraphNode *nextNode = queue.top();
queue.pop();

if(!record.count(nextNode)) {
UndirectedGraphNode *newNode = new UndirectedGraphNode(nextNode->label);
record[nextNode] = newNode;
}
for(int i = nextNode->neighbors.size()-1; i >= 0 ; i --) {
UndirectedGraphNode *childNode = nextNode->neighbors[i];
if(!record.count(childNode)) {
UndirectedGraphNode *newNode = new UndirectedGraphNode(childNode->label);
record[childNode] = newNode;
queue.push(childNode);
}
record[nextNode]->neighbors.push_back(record[childNode]);
}
}
return record[node];
}
};
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