Posts tagged as “string”

花花酱 LeetCode 2182. Construct String With Repeat Limit

By zxi on March 3, 2022

You are given a string s and an integer repeatLimit. Construct a new string repeatLimitedString using the characters of s such that no letter appears more than repeatLimit times in a row. You do not have to use all characters from s.

Return the lexicographically largest repeatLimitedString possible.

A string a is lexicographically larger than a string b if in the first position where a and b differ, string a has a letter that appears later in the alphabet than the corresponding letter in b. If the first min(a.length, b.length) characters do not differ, then the longer string is the lexicographically larger one.

Example 1:

Input: s = "cczazcc", repeatLimit = 3
Output: "zzcccac"
Explanation: We use all of the characters from s to construct the repeatLimitedString "zzcccac".
The letter 'a' appears at most 1 time in a row.
The letter 'c' appears at most 3 times in a row.
The letter 'z' appears at most 2 times in a row.
Hence, no letter appears more than repeatLimit times in a row and the string is a valid repeatLimitedString.
The string is the lexicographically largest repeatLimitedString possible so we return "zzcccac".
Note that the string "zzcccca" is lexicographically larger but the letter 'c' appears more than 3 times in a row, so it is not a valid repeatLimitedString.

Example 2:

Input: s = "aababab", repeatLimit = 2
Output: "bbabaa"
Explanation: We use only some of the characters from s to construct the repeatLimitedString "bbabaa". 
The letter 'a' appears at most 2 times in a row.
The letter 'b' appears at most 2 times in a row.
Hence, no letter appears more than repeatLimit times in a row and the string is a valid repeatLimitedString.
The string is the lexicographically largest repeatLimitedString possible so we return "bbabaa".
Note that the string "bbabaaa" is lexicographically larger but the letter 'a' appears more than 2 times in a row, so it is not a valid repeatLimitedString.

Constraints:

1 <= repeatLimit <= s.length <= 10⁵
s consists of lowercase English letters.

Solution: Greedy

Adding one letter at a time, find the largest one that can be used.

Time complexity: O(26*n)
Space complexity: O(1)

C++

// Author: Huahua

class Solution {

public:

string repeatLimitedString(string s, int repeatLimit) {

vector<int> m(26);

for (char c : s) ++m[c - 'a'];

string ans;

int count = 0;

int last = -1;

while (true) {

bool found = false;

for (int i = 25; i >= 0 && !found; --i)

if (m[i] && (count < repeatLimit || last != i)) {

ans += 'a' + i;

count = (last == i) * count + 1;

--m[i];

last = i;

found = true;

}

if (!found) break;

}

return ans;

}

};

花花酱 LeetCode 2180. Count Integers With Even Digit Sum

By zxi on February 28, 2022

Given a positive integer num, return the number of positive integers less than or equal to num whose digit sums are even.

The digit sum of a positive integer is the sum of all its digits.

Example 1:

Input: num = 4
Output: 2
Explanation:
The only integers less than or equal to 4 whose digit sums are even are 2 and 4.

Example 2:

Input: num = 30
Output: 14
Explanation:
The 14 integers less than or equal to 30 whose digit sums are even are
2, 4, 6, 8, 11, 13, 15, 17, 19, 20, 22, 24, 26, and 28.

Constraints:

1 <= num <= 1000

Solution: Brute Force

Use std::to_string to convert an integer to string.

Time complexity: O(nlgn)
Space complexity: O(lgn)

C++

// Author: Huahua

class Solution {

public:

int countEven(int num) {

int ans = 0;

for (int i = 1; i <= num; ++i) {

int sum = 0;

for (char c : to_string(i))

sum += (c - '0');

if (sum % 2 == 0) ++ans;

}

return ans;

}

};

花花酱 LeetCode 2186. Minimum Number of Steps to Make Two Strings Anagram II

By zxi on February 26, 2022

You are given two strings s and t. In one step, you can append any character to either s or t.

Return the minimum number of steps to make s and t anagrams of each other.

An anagram of a string is a string that contains the same characters with a different (or the same) ordering.

Example 1:

Input: s = "leetcode", t = "coats"
Output: 7
Explanation: 
- In 2 steps, we can append the letters in "as" onto s = "leetcode", forming s = "leetcodeas".
- In 5 steps, we can append the letters in "leede" onto t = "coats", forming t = "coatsleede".
"leetcodeas" and "coatsleede" are now anagrams of each other.
We used a total of 2 + 5 = 7 steps.
It can be shown that there is no way to make them anagrams of each other with less than 7 steps.

Example 2:

Input: s = "night", t = "thing"
Output: 0
Explanation: The given strings are already anagrams of each other. Thus, we do not need any further steps.

Constraints:

1 <= s.length, t.length <= 2 * 10⁵
s and t consist of lowercase English letters.

Solution: Hashtable

Record the frequency difference of each letter.

Ans = sum(diff)

Time complexity: O(m + n)
Space complexity: O(26)

C++

// Author: Huahua

class Solution {

public:

int minSteps(string s, string t) {

vector<int> diff(26);

for (char c : s) ++diff[c - 'a'];

for (char c : t) --diff[c - 'a'];

int ans = 0;

for (int d : diff)

ans += abs(d);

return ans;

}

};

花花酱 LeetCode 2185. Counting Words With a Given Prefix

By zxi on February 26, 2022

You are given an array of strings words and a string pref.

Return the number of strings in words that contain pref as a prefix.

A prefix of a string s is any leading contiguous substring of s.

Example 1:

Input: words = ["pay","attention","practice","attend"], pref = "at"
Output: 2
Explanation: The 2 strings that contain "at" as a prefix are: "attention" and "attend".

Example 2:

Input: words = ["leetcode","win","loops","success"], pref = "code"
Output: 0
Explanation: There are no strings that contain "code" as a prefix.

Constraints:

1 <= words.length <= 100
1 <= words[i].length, pref.length <= 100
words[i] and pref consist of lowercase English letters.

Solution: Straight forward

We can use std::count_if and std::string::find.

Time complexity: O(n*l)
Space complexity: O(1)

C++

// Author: Huahua

class Solution {

public:

int prefixCount(vector<string>& words, string pref) {

return count_if(begin(words), end(words), [&](const string& w) {

return w.find(pref) == 0;

});

}

};

花花酱 LeetCode 2156. Find Substring With Given Hash Value

By zxi on February 5, 2022

The hash of a 0-indexed string s of length k, given integers p and m, is computed using the following function:

hash(s, p, m) = (val(s[0]) * p⁰ + val(s[1]) * p¹ + ... + val(s[k-1]) * p^k-1) mod m.

Where val(s[i]) represents the index of s[i] in the alphabet from val('a') = 1 to val('z') = 26.

You are given a string s and the integers power, modulo, k, and hashValue. Return sub, the first substring of s of length k such that hash(sub, power, modulo) == hashValue.

The test cases will be generated such that an answer always exists.

A substring is a contiguous non-empty sequence of characters within a string.

Example 1:

Input: s = "leetcode", power = 7, modulo = 20, k = 2, hashValue = 0
Output: "ee"
Explanation: The hash of "ee" can be computed to be hash("ee", 7, 20) = (5 * 1 + 5 * 7) mod 20 = 40 mod 20 = 0. 
"ee" is the first substring of length 2 with hashValue 0. Hence, we return "ee".

Example 2:

Input: s = "fbxzaad", power = 31, modulo = 100, k = 3, hashValue = 32
Output: "fbx"
Explanation: The hash of "fbx" can be computed to be hash("fbx", 31, 100) = (6 * 1 + 2 * 31 + 24 * 31²) mod 100 = 23132 mod 100 = 32. 
The hash of "bxz" can be computed to be hash("bxz", 31, 100) = (2 * 1 + 24 * 31 + 26 * 31²) mod 100 = 25732 mod 100 = 32. 
"fbx" is the first substring of length 3 with hashValue 32. Hence, we return "fbx".
Note that "bxz" also has a hash of 32 but it appears later than "fbx".

Constraints:

1 <= k <= s.length <= 2 * 10⁴
1 <= power, modulo <= 10⁹
0 <= hashValue < modulo
s consists of lowercase English letters only.
The test cases are generated such that an answer always exists.

Solution: Sliding window

hash = (((hash – (s[i+k] * p^k-1) % mod + mod) * p) + (s[i] * p⁰)) % mod

Time complexity: O(n)
Space complexity: O(1)

C++

// Author: Huahua

class Solution {

public:

string subStrHash(string s, int power, int modulo, int k, int hashValue) {

const int n = s.length();

long p = 1;

for (int i = 1; i < k; ++i)

p = (p * power) % modulo;

long ans = 0;

for (long i = n - 1, cur = 0; i >= 0; --i) {

if (i + k < n)

cur = ((cur - (s[i + k] - 'a' + 1) * p) % modulo + modulo) % modulo;

cur = (cur * power + (s[i] - 'a' + 1)) % modulo;

if (i + k <= n && cur == hashValue)

ans = i;

}

return s.substr(ans, k);

}

};