Posts tagged as “hashtable”

花花酱 LeetCode 2206. Divide Array Into Equal Pairs

By zxi on March 21, 2022

You are given an integer array nums consisting of 2 * n integers.

You need to divide nums into n pairs such that:

Each element belongs to exactly one pair.
The elements present in a pair are equal.

Return true if nums can be divided into n pairs, otherwise return false.

Example 1:

Input: nums = [3,2,3,2,2,2]
Output: true
Explanation: 
There are 6 elements in nums, so they should be divided into 6 / 2 = 3 pairs.
If nums is divided into the pairs (2, 2), (3, 3), and (2, 2), it will satisfy all the conditions.

Example 2:

Input: nums = [1,2,3,4]
Output: false
Explanation: 
There is no way to divide nums into 4 / 2 = 2 pairs such that the pairs satisfy every condition.

Constraints:

nums.length == 2 * n
1 <= n <= 500
1 <= nums[i] <= 500

Solution: Hashtable

Each number has to appear even numbers in order to be paired. Count the frequency of each number, return true if all of them are even numbers, return false otherwise.

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

C++

// Author: Huahua

class Solution {

public:

bool divideArray(vector<int>& nums) {

unordered_map<int, int> m;

for (int num : nums)

++m[num];

return all_of(begin(m), end(m), [](const auto& e) { return e.second % 2 == 0; });

}

};

花花酱 LeetCode 2190. Most Frequent Number Following Key In an Array

By zxi on March 11, 2022

You are given a 0-indexed integer array nums. You are also given an integer key, which is present in nums.

For every unique integer target in nums, count the number of times target immediately follows an occurrence of key in nums. In other words, count the number of indices i such that:

0 <= i <= nums.length - 2,
nums[i] == key and,
nums[i + 1] == target.

Return the target with the maximum count. The test cases will be generated such that the target with maximum count is unique.

Example 1:

Input: nums = [1,100,200,1,100], key = 1
Output: 100
Explanation: For target = 100, there are 2 occurrences at indices 1 and 4 which follow an occurrence of key.
No other integers follow an occurrence of key, so we return 100.

Example 2:

Input: nums = [2,2,2,2,3], key = 2
Output: 2
Explanation: For target = 2, there are 3 occurrences at indices 1, 2, and 3 which follow an occurrence of key.
For target = 3, there is only one occurrence at index 4 which follows an occurrence of key.
target = 2 has the maximum number of occurrences following an occurrence of key, so we return 2.

Constraints:

2 <= nums.length <= 1000
1 <= nums[i] <= 1000
The test cases will be generated such that the answer is unique.

Solution: Hashtable

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

C++

// Author: Huahua

class Solution {

public:

int mostFrequent(vector<int>& nums, int key) {

const int n = nums.size();

unordered_map<int, int> m;

int count = 0;

int ans = 0;

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

if (nums[i - 1] == key && ++m[nums[i]] > count) {

count = m[nums[i]];

ans = nums[i];

}

return ans;

}

};

花花酱 LeetCode 2196. Create Binary Tree From Descriptions

By zxi on March 8, 2022

You are given a 2D integer array descriptions where descriptions[i] = [parent_i, child_i, isLeft_i] indicates that parent_i is the parent of child_i in a binary tree of unique values. Furthermore,

If isLeft_i == 1, then child_i is the left child of parent_i.
If isLeft_i == 0, then child_i is the right child of parent_i.

Construct the binary tree described by descriptions and return its root.

The test cases will be generated such that the binary tree is valid.

Example 1:

Input: descriptions = [[20,15,1],[20,17,0],[50,20,1],[50,80,0],[80,19,1]]
Output: [50,20,80,15,17,19]
Explanation: The root node is the node with value 50 since it has no parent.
The resulting binary tree is shown in the diagram.

Example 2:

Input: descriptions = [[1,2,1],[2,3,0],[3,4,1]]
Output: [1,2,null,null,3,4]
Explanation: The root node is the node with value 1 since it has no parent.
The resulting binary tree is shown in the diagram.

Constraints:

1 <= descriptions.length <= 10⁴
descriptions[i].length == 3
1 <= parent_i, child_i <= 10⁵
0 <= isLeft_i <= 1
The binary tree described by descriptions is valid.

Solution: Hashtable + Recursion

Use one hashtable to track the children of each node.
Use another hashtable to track the parent of each node.
Find the root who doesn’t have parent.
Build the tree recursively from root.

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

C++

// Author: Huahua

class Solution {

public:

TreeNode* createBinaryTree(vector<vector<int>>& descriptions) {

unordered_set<int> hasParent;

unordered_map<int, pair<int, int>> children;

for (const auto& d : descriptions) {

hasParent.insert(d[1]);

(d[2] ? children[d[0]].first : children[d[0]].second) = d[1];

}

int root = -1;

for (const auto& d : descriptions)

if (!hasParent.count(d[0])) root = d[0];

function<TreeNode*(int)> build = [&](int cur) -> TreeNode* {

if (!cur) return nullptr;

return new TreeNode(cur,

build(children[cur].first),

build(children[cur].second));

};

return build(root);

}

};

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 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;

}

};