Posts tagged as “easy”

花花酱 LeetCode 2586. Count the Number of Vowel Strings in Range

By zxi on March 11, 2023

You are given a 0-indexed array of string words and two integers left and right.

A string is called a vowel string if it starts with a vowel character and ends with a vowel character where vowel characters are 'a', 'e', 'i', 'o', and 'u'.

Return the number of vowel strings words[i] where i belongs to the inclusive range [left, right].

Example 1:

Input: words = ["are","amy","u"], left = 0, right = 2
Output: 2
Explanation: 
- "are" is a vowel string because it starts with 'a' and ends with 'e'.
- "amy" is not a vowel string because it does not end with a vowel.
- "u" is a vowel string because it starts with 'u' and ends with 'u'.
The number of vowel strings in the mentioned range is 2.

Example 2:

Input: words = ["hey","aeo","mu","ooo","artro"], left = 1, right = 4
Output: 3
Explanation: 
- "aeo" is a vowel string because it starts with 'a' and ends with 'o'.
- "mu" is not a vowel string because it does not start with a vowel.
- "ooo" is a vowel string because it starts with 'o' and ends with 'o'.
- "artro" is a vowel string because it starts with 'a' and ends with 'o'.
The number of vowel strings in the mentioned range is 3.

Constraints:

1 <= words.length <= 1000
1 <= words[i].length <= 10
words[i] consists of only lowercase English letters.
0 <= left <= right < words.length

Solution:

Iterator overs words, from left to right. Check the first and last element of the string.

Time complexity: O(|right – left + 1|)
Space complexity: O(1)

C++

// Author: Huahua

class Solution {

public:

int vowelStrings(vector<string>& words, int left, int right) {

auto isVowel = [](char c) {

return c == 'a' || c == 'e' || c == 'i' || c == 'o' || c == 'u';

};

return count_if(begin(words) + left, begin(words) + right + 1, [&](const string& w) {

return isVowel(w.front()) && isVowel(w.back());

});

}

};

花花酱 LeetCode 2582. Pass the Pillow

By zxi on March 5, 2023

There are n people standing in a line labeled from 1 to n. The first person in the line is holding a pillow initially. Every second, the person holding the pillow passes it to the next person standing in the line. Once the pillow reaches the end of the line, the direction changes, and people continue passing the pillow in the opposite direction.

For example, once the pillow reaches the n^th person they pass it to the n - 1^th person, then to the n - 2^th person and so on.

Given the two positive integers n and time, return the index of the person holding the pillow after time seconds.

Example 1:

Input: n = 4, time = 5
Output: 2
Explanation: People pass the pillow in the following way: 1 -> 2 -> 3 -> 4 -> 3 -> 2.
Afer five seconds, the pillow is given to the 2^nd person.

Example 2:

Input: n = 3, time = 2
Output: 3
Explanation: People pass the pillow in the following way: 1 -> 2 -> 3.
Afer two seconds, the pillow is given to the 3^r^d person.

Constraints:

2 <= n <= 1000
1 <= time <= 1000

Solution: Math

It takes n – 1 seconds from 1 to n and takes another n – 1 seconds back from n to 1.
So one around takes 2 * (n – 1) seconds. We can mod time with 2 * (n – 1).

After that if time < n – 1 answer is time + 1, otherwise answer is n – (time – (n – 1))

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

C++

// Author: Huahua

class Solution {

public:

int passThePillow(int n, int time) {

time %= (2 * (n - 1));

return time > n - 1 ? n - (time - (n - 1)) : time + 1;

}

};

花花酱 LeetCode 2574. Left and Right Sum Differences

By zxi on February 25, 2023

Given a 0-indexed integer array nums, find a 0-indexed integer array answer where:

answer.length == nums.length.
answer[i] = |leftSum[i] - rightSum[i]|.

Where:

leftSum[i] is the sum of elements to the left of the index i in the array nums. If there is no such element, leftSum[i] = 0.
rightSum[i] is the sum of elements to the right of the index i in the array nums. If there is no such element, rightSum[i] = 0.

Return the array answer.

Example 1:

Input: nums = [10,4,8,3]
Output: [15,1,11,22]
Explanation: The array leftSum is [0,10,14,22] and the array rightSum is [15,11,3,0].
The array answer is [|0 - 15|,|10 - 11|,|14 - 3|,|22 - 0|] = [15,1,11,22].

Example 2:

Input: nums = [1]
Output: [0]
Explanation: The array leftSum is [0] and the array rightSum is [0].
The array answer is [|0 - 0|] = [0].

Constraints:

1 <= nums.length <= 1000
1 <= nums[i] <= 10⁵

Solution: O(1) Space

Pre-compute the sum of all numbers as right sum, and accumulate left sum on the fly then we can achieve O(1) space.

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

C++

// Author: Huahua

class Solution {

public:

vector<int> leftRigthDifference(vector<int>& nums) {

int right = accumulate(begin(nums), end(nums), 0);

vector<int> ans;

for (int i = 0, left = 0; i < nums.size(); ++i) {

right -= nums[i];

ans.push_back(abs(left - right));

left += nums[i];

}

return ans;

}

};

花花酱 2570. Merge Two 2D Arrays by Summing Values

By zxi on February 18, 2023

You are given two 2D integer arrays nums1 and nums2.

nums1[i] = [id_i, val_i] indicate that the number with the id id_i has a value equal to val_i.
nums2[i] = [id_i, val_i] indicate that the number with the id id_i has a value equal to val_i.

Each array contains unique ids and is sorted in ascending order by id.

Merge the two arrays into one array that is sorted in ascending order by id, respecting the following conditions:

Only ids that appear in at least one of the two arrays should be included in the resulting array.
Each id should be included only once and its value should be the sum of the values of this id in the two arrays. If the id does not exist in one of the two arrays then its value in that array is considered to be 0.

Return the resulting array. The returned array must be sorted in ascending order by id.

Example 1:

Input: nums1 = [[1,2],[2,3],[4,5]], nums2 = [[1,4],[3,2],[4,1]]
Output: [[1,6],[2,3],[3,2],[4,6]]
Explanation: The resulting array contains the following:
- id = 1, the value of this id is 2 + 4 = 6.
- id = 2, the value of this id is 3.
- id = 3, the value of this id is 2.
- id = 4, the value of this id is 5 + 1 = 6.

Example 2:

Input: nums1 = [[2,4],[3,6],[5,5]], nums2 = [[1,3],[4,3]]
Output: [[1,3],[2,4],[3,6],[4,3],[5,5]]
Explanation: There are no common ids, so we just include each id with its value in the resulting list.

Constraints:

1 <= nums1.length, nums2.length <= 200
nums1[i].length == nums2[j].length == 2
1 <= id_i, val_i <= 1000
Both arrays contain unique ids.
Both arrays are in strictly ascending order by id.

Solution: Two Pointers

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

C++

// Author: Huahua

class Solution {

public:

vector<vector<int>> mergeArrays(vector<vector<int>>& nums1, vector<vector<int>>& nums2) {

vector<vector<int>> ans;

for (int i = 0, j = 0; i < nums1.size() || j < nums2.size();) {

const int id1 = i < nums1.size() ? nums1[i][0] : INT_MAX;

const int id2 = j < nums2.size() ? nums2[j][0] : INT_MAX;

if (id1 == id2) {

ans.push_back({id1, nums1[i++][1] + nums2[j++][1]});

} else if (id1 < id2) {

ans.push_back(nums1[i++]);

} else {

ans.push_back(nums2[j++]);

}

return ans;

}

};

花花酱 LeetCode 2553. Separate the Digits in an Array

By zxi on February 13, 2023

Given an array of positive integers nums, return an array answer that consists of the digits of each integer in nums after separating them in the same order they appear in nums.

To separate the digits of an integer is to get all the digits it has in the same order.

For example, for the integer 10921, the separation of its digits is [1,0,9,2,1].

Example 1:

Input: nums = [13,25,83,77]
Output: [1,3,2,5,8,3,7,7]
Explanation: 
- The separation of 13 is [1,3].
- The separation of 25 is [2,5].
- The separation of 83 is [8,3].
- The separation of 77 is [7,7].
answer = [1,3,2,5,8,3,7,7]. Note that answer contains the separations in the same order.

Example 2:

Input: nums = [7,1,3,9]
Output: [7,1,3,9]
Explanation: The separation of each integer in nums is itself.
answer = [7,1,3,9].

Constraints:

1 <= nums.length <= 1000
1 <= nums[i] <= 10⁵

Solution: Stack

Time complexity: O(sum(log(nums[i]))
Space complexity: O(log(nums[i]))

C++

// Author: Huahua

class Solution {

public:

vector<int> separateDigits(vector<int>& nums) {

vector<int> ans;

for (int n : nums) {

stack<int> cur;

for (int x = n; x; x /= 10)

cur.push(x % 10);

while (!cur.empty())

ans.push_back(cur.top()), cur.pop();

}

return ans;

}

};