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package class45;
// 一个非常经典的题
// 这道题课上没有讲
// 后缀数组的模版题
// 需要学会DC3算法生成后缀数组
// 需要学会课上讲的如何生成高度数组
// 时间复杂度O(N),连官方题解都没有做到的时间复杂度,但这才是最优解
// 测试链接 : https://leetcode.cn/problems/longest-repeating-substring/
public class Code04_LongestRepeatingSubstring {
public static int longestRepeatingSubstring(String s) {
if (s == null || s.length() == 0) {
return 0;
}
char[] str = s.toCharArray();
int n = str.length;
int min = str[0];
int max = str[0];
for (int i = 1; i < n; i++) {
min = Math.min(min, str[i]);
max = Math.max(max, str[i]);
}
int[] all = new int[n];
for (int i = 0; i < n; i++) {
all[i] = str[i] - min + 1;
}
DC3 dc3 = new DC3(all, max - min + 1);
int ans = 0;
for (int i = 1; i < n; i++) {
ans = Math.max(ans, dc3.height[i]);
}
return ans;
}
public static class DC3 {
public int[] sa;
public int[] rank;
public int[] height;
public DC3(int[] nums, int max) {
sa = sa(nums, max);
rank = rank();
height = height(nums);
}
private int[] sa(int[] nums, int max) {
int n = nums.length;
int[] arr = new int[n + 3];
for (int i = 0; i < n; i++) {
arr[i] = nums[i];
}
return skew(arr, n, max);
}
private int[] skew(int[] nums, int n, int K) {
int n0 = (n + 2) / 3, n1 = (n + 1) / 3, n2 = n / 3, n02 = n0 + n2;
int[] s12 = new int[n02 + 3], sa12 = new int[n02 + 3];
for (int i = 0, j = 0; i < n + (n0 - n1); ++i) {
if (0 != i % 3) {
s12[j++] = i;
}
}
radixPass(nums, s12, sa12, 2, n02, K);
radixPass(nums, sa12, s12, 1, n02, K);
radixPass(nums, s12, sa12, 0, n02, K);
int name = 0, c0 = -1, c1 = -1, c2 = -1;
for (int i = 0; i < n02; ++i) {
if (c0 != nums[sa12[i]] || c1 != nums[sa12[i] + 1] || c2 != nums[sa12[i] + 2]) {
name++;
c0 = nums[sa12[i]];
c1 = nums[sa12[i] + 1];
c2 = nums[sa12[i] + 2];
}
if (1 == sa12[i] % 3) {
s12[sa12[i] / 3] = name;
} else {
s12[sa12[i] / 3 + n0] = name;
}
}
if (name < n02) {
sa12 = skew(s12, n02, name);
for (int i = 0; i < n02; i++) {
s12[sa12[i]] = i + 1;
}
} else {
for (int i = 0; i < n02; i++) {
sa12[s12[i] - 1] = i;
}
}
int[] s0 = new int[n0], sa0 = new int[n0];
for (int i = 0, j = 0; i < n02; i++) {
if (sa12[i] < n0) {
s0[j++] = 3 * sa12[i];
}
}
radixPass(nums, s0, sa0, 0, n0, K);
int[] sa = new int[n];
for (int p = 0, t = n0 - n1, k = 0; k < n; k++) {
int i = sa12[t] < n0 ? sa12[t] * 3 + 1 : (sa12[t] - n0) * 3 + 2;
int j = sa0[p];
if (sa12[t] < n0 ? leq(nums[i], s12[sa12[t] + n0], nums[j], s12[j / 3])
: leq(nums[i], nums[i + 1], s12[sa12[t] - n0 + 1], nums[j], nums[j + 1], s12[j / 3 + n0])) {
sa[k] = i;
t++;
if (t == n02) {
for (k++; p < n0; p++, k++) {
sa[k] = sa0[p];
}
}
} else {
sa[k] = j;
p++;
if (p == n0) {
for (k++; t < n02; t++, k++) {
sa[k] = sa12[t] < n0 ? sa12[t] * 3 + 1 : (sa12[t] - n0) * 3 + 2;
}
}
}
}
return sa;
}
private void radixPass(int[] nums, int[] input, int[] output, int offset, int n, int k) {
int[] cnt = new int[k + 1];
for (int i = 0; i < n; ++i) {
cnt[nums[input[i] + offset]]++;
}
for (int i = 0, sum = 0; i < cnt.length; ++i) {
int t = cnt[i];
cnt[i] = sum;
sum += t;
}
for (int i = 0; i < n; ++i) {
output[cnt[nums[input[i] + offset]]++] = input[i];
}
}
private boolean leq(int a1, int a2, int b1, int b2) {
return a1 < b1 || (a1 == b1 && a2 <= b2);
}
private boolean leq(int a1, int a2, int a3, int b1, int b2, int b3) {
return a1 < b1 || (a1 == b1 && leq(a2, a3, b2, b3));
}
private int[] rank() {
int n = sa.length;
int[] ans = new int[n];
for (int i = 0; i < n; i++) {
ans[sa[i]] = i;
}
return ans;
}
private int[] height(int[] s) {
int n = s.length;
int[] ans = new int[n];
for (int i = 0, k = 0; i < n; ++i) {
if (rank[i] != 0) {
if (k > 0) {
--k;
}
int j = sa[rank[i] - 1];
while (i + k < n && j + k < n && s[i + k] == s[j + k]) {
++k;
}
ans[rank[i]] = k;
}
}
return ans;
}
}
// 为了测试, 不用提交
public static String randomString(int n, int r) {
char[] str = new char[n];
for (int i = 0; i < n; i++) {
str[i] = (char) ((int) (Math.random() * r) + 'a');
}
return String.valueOf(str);
}
// 为了测试, 不用提交
public static void main(String[] args) {
int n = 500000;
int r = 3;
long start = System.currentTimeMillis();
longestRepeatingSubstring(randomString(n, r));
long end = System.currentTimeMillis();
System.out.println("字符长度为 " + n + ", 字符种类数为 " + r + " 时");
System.out.println("求最长重复子串的运行时间 : " + (end - start) + " 毫秒");
}
}