《程序员代码面试指南》第三章 二叉树问题 判断t1 树中是否有与t2 树拓扑结构完全相同的子树
题目
判断t1 树中是否有与t2 树拓扑结构完全相同的子树
java代码
package com.lizhouwei.chapter3;
/**
* @Description: 判断t1 树中是否有与t2 树拓扑结构完全相同的子树
* @Author: lizhouwei
* @CreateDate: 2018/4/19 21:35
* @Modify by:
* @ModifyDate:
*/
public class Chapter3_12 {
public boolean isSubTree(Node shead,Node mhead ){
String str1 =serialize(shead);
String str2 =serialize(mhead);
System.out.println("shead: "+str1);
System.out.println("mhead: "+str2);
int res = KMP(str1, str2);
return res==-1?false:true;
}
//树的序列化
public String serialize(Node head) {
if (head == null) {
return "#!";
}
String res = head.value + "!";
res += serialize(head.left);
res += serialize(head.right);
return res;
}
//KMP
public int KMP(String s, String m) {
if (s == null || m == null || m.length() > s.length()) {
return -1;
}
char[] ss = s.toCharArray();
char[] ms = s.toCharArray();
int[] next = getNext(ms);
int si = 0;
int mi = 0;
while (si < ss.length && mi < ms.length) {
if (ss[si] == ms[mi]) {
si++;
mi++;
} else if (next[mi] == -1) {
si++;
} else {
mi = next[mi];
}
}
return mi == ms.length ? si - mi : -1;
}
public int[] getNext(char[] match) {
int len = match.length;
//next[i] 值为 {0,i-1}中,前缀子串和后缀子串 相等的最大长度
int[] next = new int[len];
//next[0] 前面没有元素,所以没有最大相等长度
next[0] = -1;
//next[1] 前面只有next[0]一个元素,
// 由于前子串不能包含最后一个,后缀子串不能包含第一个,所以其值为 0 ;
next[1] = 0;
int pos = 2;
// match[cn]表示 next[i-1]的最大前缀子串的后面一个字符,
// 当i=2时,next[2-1]=0,说明 match[1]在{0,0}中没有前缀子串;
//所以cn 从0 开始.
//cn 既可以表示 i-1的前缀子串和后缀子串的最大长度。
//也可表示 i-1的前缀子串的后面一个值得下标
int cn = 0;
while (pos < len) {
if (match[pos - 1] == match[cn]) {
next[pos++] = ++cn;
//++cn后,cn表示pos的前缀子串和后缀子串的最大长度。
} else if (cn > 0) {
//表示i-1的前缀子串的后面一个值得下标
cn = next[cn];
} else {
next[pos++] = 0;
}
}
return next;
}
//测试
public static void main(String[] args) {
Chapter3_12 chapter = new Chapter3_12();
Node head1 = new Node(1);
head1.left = new Node(2);
head1.right = new Node(3);
head1.left.left = new Node(4);
head1.left.right = new Node(5);
head1.right.left = new Node(6);
head1.right.right = new Node(7);
head1.left.left.right = new Node(8);
head1.left.right.left = new Node(9);
Node head2 = new Node(2);
head2.left = new Node(4);
head2.right = new Node(5);
head2.left.right = new Node(8);
head2.right.left = new Node(9);
Node head3 = new Node(2);
head3.left = new Node(4);
head3.right = new Node(5);
head3.left.right = new Node(8);
System.out.println("head1 是否包含head2 :" + chapter.isSubTree(head1, head2));
System.out.println("head1 是否包含head3 :" + chapter.isSubTree(head1, head3));
}
}
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