1048. Longest String Chain

1048. Longest String Chain

Question

You are given an array of words where each word consists of lowercase English letters.

word<sub>A</sub> is a predecessor of word<sub>B</sub> if and only if we can insert exactly one letter anywhere in word<sub>A</sub> without changing the order of the other characters to make it equal to word<sub>B</sub>.

  • For example, "abc" is a predecessor of "ab<u>a</u>c", while "cba" is not a predecessor of "bcad".

A word chain* *is a sequence of words [word<sub>1</sub>, word<sub>2</sub>, ..., word<sub>k</sub>] with k >= 1, where word<sub>1</sub> is a predecessor of word<sub>2</sub>, word<sub>2</sub> is a predecessor of word<sub>3</sub>, and so on. A single word is trivially a word chain with k == 1.

Return *the length of the longest possible word chain with words chosen from the given list of *words.

Solution

排序+动态规划。
采用一个一维动态规划数组记录到某个word的最大字符串链长度。

排序

每个predecessor必定比next少1,因此首先将数组根据word的长度排序。

动态规划

数组dp[i]记录到i位置时的最大长度。
双重遍历i和j,其中j>i。如果words[i-1]是words[j-1]的predecessor,则更新dp[j]为dp[j]与dp[i]+1的较大值。

辅助方法 isValid()

判断predecessor是否有效。
初始化一个flag为false记录不同字符是否已出现。
如果两者长度差不为1直接返回false。
双指针分别指向两个字符串,如果两个当前字符相等,则两个指针共同前进。
如果不相等且flag为true则i指针前进,并且将flag改为false。否则返回false。
如果循环结束返回true。

Code

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class Solution {
public int longestStrChain(String[] words) {
int max = 0;
Arrays.sort(words, (a,b) -> a.length() - b.length());
int[] dp = new int[words.length+1];
for(int i = 1; i <= words.length; i++){
for(int j = i + 1; j <= words.length; j++){
if(isValid(words[i-1], words[j-1])){
dp[j] = Math.max(dp[j], dp[i] + 1);
max = Math.max(max, dp[j]);
}
}
}
return max + 1;
}

private boolean isValid(String predecessor, String next){
if(predecessor.length() + 1 != next.length()) return false;
boolean flag = true;
int i = 0, j = 0;
while(i < next.length() && j < predecessor.length()){
if(next.charAt(i) == predecessor.charAt(j)){
i++;
j++;
}
else if(flag){
i++;
flag = false;
}
else{
return false;
}
}
return true;
}
}
1695. Maximum Erasure Value

1695. Maximum Erasure Value

Question

You are given an array of positive integers nums and want to erase a subarray containing unique elements. The score you get by erasing the subarray is equal to the sum of its elements.

Return the maximum score you can get by erasing exactly one subarray.

An array b is called to be a subarray of a if it forms a contiguous subsequence of a, that is, if it is equal to a[l],a[l+1],...,a[r] for some (l,r).

Solution

滑动窗口+数组统计。

用sum记录窗口内的和,max记录和的最大值。
当新滑入的右侧指针不为0时,从左侧滑出元素并将滑出的元素改为0。
然后将右侧指针指针对应的数组统计改为1并更新当前的和max。

Code

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class Solution {
public int maximumUniqueSubarray(int[] nums) {
int[] bin = new int[10001];
int left = 0, max = 0, sum = 0;

for(int right = 0; right < nums.length; right++){
sum += nums[right];
while(bin[nums[right]] != 0){
bin[nums[left]] = 0;
sum -= nums[left];
left++;
}
bin[nums[right]] = 1;
max = Math.max(max, sum);
}
return max;
}
}

2302. Count Subarrays With Score Less Than K

Question

The score of an array is defined as the product of its sum and its length.

  • For example, the score of [1, 2, 3, 4, 5] is (1 + 2 + 3 + 4 + 5) * 5 = 75.

Given a positive integer array nums and an integer k, return the number of non-empty subarrays of nums whose score is strictly less than k.

A subarray is a contiguous sequence of elements within an array.

Solution

第一次在contest中做出hard题目,而且还是超过100%,庆祝一下!(不过因为前一道题做的太久没提交上去……

滑动窗口

数组内全部为正整数,当选择的子数组的尺寸增加时,其乘积是单调递增的。因此可以采用滑动窗口,在循环时维护窗口内数字的和sum和当前的乘积product。

每次将一个新的右侧元素滑入窗口,更新窗口内的sum值,并计算product值。当当前product大于k时,则将左侧的元素滑出窗口,并更新sum和product值。

调整完窗口尺寸后,由于新的right位置可以和前面的每一个子数组组成一个新的数组,因此将count加上当前的left到right的个数即可。

循环结束后返回count。

Code

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class Solution {
public long countSubarrays(int[] nums, long k) {
long count = 0, sum = 0;
int left = 0, right = 0;

while(right < nums.length){
sum += nums[right]; //右侧滑入窗口
long product = sum * (right - left + 1);

while(product >= k){ //当乘积大于k时,左侧滑出窗口
sum -= nums[left];
left++;
product = sum * (right - left + 1);
}
count += right - left + 1; //计算新的right位置可组成的新组合
right++;
}
return count;
}
}

2300. Successful Pairs of Spells and Potions

Question

You are given two positive integer arrays spells and potions, of length n and m respectively, where spells[i] represents the strength of the i<sup>th</sup> spell and potions[j] represents the strength of the j<sup>th</sup> potion.

You are also given an integer success. A spell and potion pair is considered successful if the product of their strengths is at least success.

Return an integer array pairs of length n where pairs[i] is the number of potions that will form a successful pair with the i<sup>th</sup> spell.

Solution 1

排序+二分搜索。同时记录success与spells[i]的比值来减小计算量。

排序

首先对potions[]进行排序,这样可以使用二分搜索查找分界值。
数组scales[]记录success与spells[i]的比值,以此为界大于等于scales[i]的位置都可以计入ret[]数组。

二分搜索

这里有一些tricky。

由于Arrays.binarySearch()方法无法返回重复的数字,因此在搜索时我们将查找值scale减去一个小值,保证在搜索时一定返回负值。(查找值的插入位置的负数-1)
将ret[i]记录为potions[]的总数减去正确的插入位置即可。

Code

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class Solution {
public int[] successfulPairs(int[] spells, int[] potions, long success) {
int[] ret = new int[spells.length];

Arrays.sort(potions);
double[] scales = new double[potions.length];

for(int i = 0; i < potions.length; i++){
scales[i] = (double) potions[i];
}

for(int i = 0; i < spells.length; i++){
double scale = (double) success / spells[i] - 0.000001; //确保浮点数不在scale中出现,binarySearch方法返回的结果必定为上一个插入位置
int index = Arrays.binarySearch(scales, scale);
ret[i] = potions.length + (index + 1);
}
return ret;
}
}

Solution 2

由于Arrays.binarySearch()无法正确的搜索有重复元素的数组,因此采用辅助方法binarySearch()来搜索最左侧的下标。

直接在binarySearch()方法中查找target,比较的对象为spell和potions[i]的乘积。

为了搜寻重复的第一个元素,当遇到target时不直接返回,而是继续修改right的位置,直到left等于right。

如果未搜索到,则返回数组的总长度。

Code

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class Solution {
public int[] successfulPairs(int[] spells, int[] potions, long success) {
int[] ret = new int[spells.length];
Arrays.sort(potions);
for(int i = 0; i < spells.length; i++){
int index = binarySearch(potions, spells[i], success);
ret[i] = potions.length - index;
}
return ret;
}

private int binarySearch(int[] potions, long spell, long target){
int left = 0, right = potions.length - 1;
while(left < right){
int mid = left + (right - left) / 2;
if(potions[mid] * spell < target) left = mid + 1;
else right = mid;
}
return potions[left] * spell < target ? potions.length : left;
}
}

2299. Strong Password Checker II

Question

A password is said to be strong if it satisfies all the following criteria:

  • It has at least 8 characters.

  • It contains at least one lowercase letter.

  • It contains at least one uppercase letter.

  • It contains at least one digit.

  • It contains at least one special character. The special characters are the characters in the following string: "!@#$%^&*()-+".

  • It does not contain 2 of the same character in adjacent positions (i.e., "aab" violates this condition, but "aba" does not).

Given a string password, return true* if it is a strong password*. Otherwise, return false.

Solution

直接遍历,记录四个真值对应四个符号,初始化为false,和上一个字符last。
每次遍历检查当前字符,如果等于上个字符则直接返回false。
根据字符范围来改变四个真值,最后返回四个真值的和运算。

Code

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class Solution {
public boolean strongPasswordCheckerII(String password) {
if(password.length() < 8) return false;
char last = ' ';
boolean hasLower = false, hasUpper = false, hasDigit = false, hasSpecial = false;
char[] word = password.toCharArray();

for(int i = 0; i < password.length(); i++){
char cur = word[i];
if(last == cur) return false;
if(cur >= 'a' && cur <= 'z') hasLower = true;
else if(cur >= 'A' && cur <= 'Z') hasUpper = true;
else if(cur >= '0' && cur <= '9') hasDigit = true;
else hasSpecial = true;
last = cur;
}

return hasLower && hasUpper && hasDigit && hasSpecial;
}
}