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wangpeng
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feat(MEDIUM): add _1052_maxSatisfied
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package pp.arithmetic.leetcode;
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/**
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* Created by wangpeng on 2019-06-06.
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* 1052. 爱生气的书店老板
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* <p>
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* 今天,书店老板有一家店打算试营业 customers.length 分钟。每分钟都有一些顾客(customers[i])会进入书店,所有这些顾客都会在那一分钟结束后离开。
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* <p>
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* 在某些时候,书店老板会生气。 如果书店老板在第 i 分钟生气,那么 grumpy[i] = 1,否则 grumpy[i] = 0。 当书店老板生气时,那一分钟的顾客就会不满意,不生气则他们是满意的。
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* <p>
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* 书店老板知道一个秘密技巧,能抑制自己的情绪,可以让自己连续 X 分钟不生气,但却只能使用一次。
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* <p>
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* 请你返回这一天营业下来,最多有多少客户能够感到满意的数量。
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* <p>
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* <p>
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* 示例:
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* <p>
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* 输入:customers = [1,0,1,2,1,1,7,5], grumpy = [0,1,0,1,0,1,0,1], X = 3
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* 输出:16
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* 解释:
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* 书店老板在最后 3 分钟保持冷静。
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* 感到满意的最大客户数量 = 1 + 1 + 1 + 1 + 7 + 5 = 16.
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* <p>
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* <p>
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* 提示:
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* <p>
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* 1 <= X <= customers.length == grumpy.length <= 20000
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* 0 <= customers[i] <= 1000
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* 0 <= grumpy[i] <= 1
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*
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* @see <a href="https://leetcode-cn.com/problems/grumpy-bookstore-owner/">grumpy-bookstore-owner</a>
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*/
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public class _1052_maxSatisfied {
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public static void main(String[] args) {
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_1052_maxSatisfied maxSatisfied = new _1052_maxSatisfied();
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System.out.println(maxSatisfied.maxSatisfied(new int[]{1, 0, 1, 2, 1, 1, 7, 5}, new int[]{0, 1, 0, 1, 0, 1, 0, 1}, 3));
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System.out.println(maxSatisfied.maxSatisfied(new int[]{1}, new int[]{0}, 1));
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System.out.println(maxSatisfied.maxSatisfied(new int[]{4, 10, 10}, new int[]{1, 1, 0}, 2));
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}
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/**
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* 解题思路(动态规划+窗口):
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* 1.定义两个数组dp和zoreDp
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* 2.dp保存窗口长度为X的满意度,防止重复计算
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* 3.zoreDp保存不生气时候的满意总和数
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* 4.第I位的最大值为窗口值+窗口前后的zoreDp之和
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*
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* @param customers
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* @param grumpy
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* @param X
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* @return
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*/
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public int maxSatisfied(int[] customers, int[] grumpy, int X) {
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//存储第I位维持X位的满意数,防止重复计算
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int[] dp = new int[customers.length + 1];
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//存储不生气的满意总和数
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int[] zoreDp = new int[customers.length + 1];
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//初始化
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int max = X > customers.length ? customers.length : X;
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int sum = 0;
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for (int i = 0; i < customers.length; i++) {
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if (i < X) {
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dp[i + 1] = sum += customers[i];
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}
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zoreDp[i + 1] = (grumpy[i] == 0) ? customers[i] + zoreDp[i] : zoreDp[i];
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}
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int retMax = dp[max] + zoreDp[customers.length] - zoreDp[max];
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for (int i = X; i < customers.length; i++) {
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dp[i + 1] = dp[i] - customers[i - X] + customers[i];
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int otherZore = zoreDp[customers.length] - zoreDp[i + 1] + zoreDp[i - X + 1];
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retMax = Math.max(retMax, dp[i + 1] + otherZore);
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}
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return retMax;
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}
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}

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