Posts tagged as “medium”

花花酱 LeetCode 1476. Subrectangle Queries

By zxi on June 13, 2020

Implement the class SubrectangleQueries which receives a rows x cols rectangle as a matrix of integers in the constructor and supports two methods:

1. updateSubrectangle(int row1, int col1, int row2, int col2, int newValue)

Updates all values with newValue in the subrectangle whose upper left coordinate is (row1,col1) and bottom right coordinate is (row2,col2).

2. getValue(int row, int col)

Returns the current value of the coordinate (row,col) from the rectangle.

Example 1:

Input
["SubrectangleQueries","getValue","updateSubrectangle","getValue","getValue","updateSubrectangle","getValue","getValue"]
[[[[1,2,1],[4,3,4],[3,2,1],[1,1,1]]],[0,2],[0,0,3,2,5],[0,2],[3,1],[3,0,3,2,10],[3,1],[0,2]]
Output

[null,1,null,5,5,null,10,5]

Explanation SubrectangleQueries subrectangleQueries = new SubrectangleQueries([[1,2,1],[4,3,4],[3,2,1],[1,1,1]]); // The initial rectangle (4×3) looks like: // 1 2 1 // 4 3 4 // 3 2 1 // 1 1 1 subrectangleQueries.getValue(0, 2); // return 1 subrectangleQueries.updateSubrectangle(0, 0, 3, 2, 5); // After this update the rectangle looks like: // 5 5 5 // 5 5 5 // 5 5 5 // 5 5 5 subrectangleQueries.getValue(0, 2); // return 5 subrectangleQueries.getValue(3, 1); // return 5 subrectangleQueries.updateSubrectangle(3, 0, 3, 2, 10); // After this update the rectangle looks like: // 5 5 5 // 5 5 5 // 5 5 5 // 10 10 10 subrectangleQueries.getValue(3, 1); // return 10 subrectangleQueries.getValue(0, 2); // return 5

Example 2:

Input
["SubrectangleQueries","getValue","updateSubrectangle","getValue","getValue","updateSubrectangle","getValue"]
[[[[1,1,1],[2,2,2],[3,3,3]]],[0,0],[0,0,2,2,100],[0,0],[2,2],[1,1,2,2,20],[2,2]]
Output

[null,1,null,100,100,null,20]

Explanation SubrectangleQueries subrectangleQueries = new SubrectangleQueries([[1,1,1],[2,2,2],[3,3,3]]); subrectangleQueries.getValue(0, 0); // return 1 subrectangleQueries.updateSubrectangle(0, 0, 2, 2, 100); subrectangleQueries.getValue(0, 0); // return 100 subrectangleQueries.getValue(2, 2); // return 100 subrectangleQueries.updateSubrectangle(1, 1, 2, 2, 20); subrectangleQueries.getValue(2, 2); // return 20

Constraints:

There will be at most 500 operations considering both methods: updateSubrectangle and getValue.
1 <= rows, cols <= 100
rows == rectangle.length
cols == rectangle[i].length
0 <= row1 <= row2 < rows
0 <= col1 <= col2 < cols
1 <= newValue, rectangle[i][j] <= 10^9
0 <= row < rows
0 <= col < cols

Solution 1: Simulation

Update the matrix values.

Time complexity:
Update: O(m*n), where m*n is the area of the sub-rectangle.
Query: O(1)

Space complexity: O(rows*cols)

C++

// Author: Huahua

class SubrectangleQueries {

public:

SubrectangleQueries(vector<vector<int>>& rectangle):

m_(rectangle) {}

void updateSubrectangle(int row1, int col1, int row2, int col2, int newValue) {

for (int i = row1; i <= row2; ++i)

for (int j = col1; j <= col2; ++j)

m_[i][j] = newValue;

}

int getValue(int row, int col) {

return m_[row][col];

}

private:

vector<vector<int>> m_;

};

Solution 2: Geometry

For each update remember the region and value.

For each query, find the newest updates that covers the query point. If not found, return the original value in the matrix.

Time complexity:
Update: O(1)
Query: O(|U|), where |U| is the number of updates so far.

Space complexity: O(|U|)

C++

// Author: Huahua

class SubrectangleQueries {

public:

SubrectangleQueries(vector<vector<int>>& rectangle):

m_(rectangle) {}

void updateSubrectangle(int row1, int col1, int row2, int col2, int newValue) {

updates_.push_front({row1, col1, row2, col2, newValue});

}

int getValue(int row, int col) {

for (const auto& u : updates_)

if (row >= u[0] && row <= u[2] && col >= u[1] && col <= u[3])

return u[4];

return m_[row][col];

}

private:

const vector<vector<int>>& m_;

deque<vector<int>> updates_;

};

花花酱 LeetCode 1466. Reorder Routes to Make All Paths Lead to the City Zero

By zxi on May 31, 2020

There are n cities numbered from 0 to n-1 and n-1 roads such that there is only one way to travel between two different cities (this network form a tree). Last year, The ministry of transport decided to orient the roads in one direction because they are too narrow.

Roads are represented by connections where connections[i] = [a, b] represents a road from city a to b.

This year, there will be a big event in the capital (city 0), and many people want to travel to this city.

Your task consists of reorienting some roads such that each city can visit the city 0. Return the minimum number of edges changed.

It’s guaranteed that each city can reach the city 0 after reorder.

Example 1:

Input: n = 6, connections = [[0,1],[1,3],[2,3],[4,0],[4,5]]
Output: 3
Explanation: Change the direction of edges show in red such that each node can reach the node 0 (capital).

Example 2:

Input: n = 5, connections = [[1,0],[1,2],[3,2],[3,4]]
Output: 2
Explanation: Change the direction of edges show in red such that each node can reach the node 0 (capital).

Example 3:

Input: n = 3, connections = [[1,0],[2,0]]
Output: 0

Constraints:

2 <= n <= 5 * 10^4
connections.length == n-1
connections[i].length == 2
0 <= connections[i][0], connections[i][1] <= n-1
connections[i][0] != connections[i][1]

Solution: BFS

Augment the graph
g[u][v] = 1, g[v][u] = 0, u->v is an edge in the original graph.

BFS from 0, sum up all the edge costs to visit all the nodes.

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

C++

// Author: Huahua

class Solution {

public:

int minReorder(int n, vector<vector<int>>& connections) {

vector<vector<pair<int, int>>> g(n); // u -> {v, cost}

for (const auto& e : connections) {

g[e[0]].emplace_back(e[1], 1); // u -> v, needs flip

g[e[1]].emplace_back(e[0], 0); // v -> u, no cost

}

int ans = 0;

queue<int> q{{0}};

vector<int> seen(n);

while (!q.empty()) {

int cur = q.front(); q.pop();

seen[cur] = 1;

for (const auto& [nxt, cost] : g[cur]) {

if (seen[nxt]) continue;

ans += cost;

q.push(nxt);

}

return ans;

}

};

花花酱 LeetCode 1465. Maximum Area of a Piece of Cake After Horizontal and Vertical Cuts

By zxi on May 31, 2020

Given a rectangular cake with height h and width w, and two arrays of integers horizontalCuts and verticalCuts where horizontalCuts[i] is the distance from the top of the rectangular cake to the ith horizontal cut and similarly, verticalCuts[j] is the distance from the left of the rectangular cake to the jth vertical cut.

Return the maximum area of a piece of cake after you cut at each horizontal and vertical position provided in the arrays horizontalCuts and verticalCuts. Since the answer can be a huge number, return this modulo 10^9 + 7.

Example 1:

Input: h = 5, w = 4, horizontalCuts = [1,2,4], verticalCuts = [1,3]
Output: 4 
Explanation: The figure above represents the given rectangular cake. Red lines are the horizontal and vertical cuts. After you cut the cake, the green piece of cake has the maximum area.

Example 2:

Input: h = 5, w = 4, horizontalCuts = [3,1], verticalCuts = [1]
Output: 6
Explanation: The figure above represents the given rectangular cake. Red lines are the horizontal and vertical cuts. After you cut the cake, the green and yellow pieces of cake have the maximum area.

Example 3:

Input: h = 5, w = 4, horizontalCuts = [3], verticalCuts = [3]
Output: 9

Constraints:

2 <= h, w <= 10^9
1 <= horizontalCuts.length < min(h, 10^5)
1 <= verticalCuts.length < min(w, 10^5)
1 <= horizontalCuts[i] < h
1 <= verticalCuts[i] < w
It is guaranteed that all elements in horizontalCuts are distinct.
It is guaranteed that all elements in verticalCuts are distinct.

Solution: Geometry

Find the max gap between vertical cuts mx and max gap between horizontal cuts my. ans = mx * my

Time complexity: O(nlogn)
Space complexity: O(1) if sort in place otherweise O(n)

C++

// Author: Huahua

class Solution {

public:

int maxArea(int h, int w, vector<int>& horizontalCuts, vector<int>& verticalCuts) {

constexpr int kMod = 1e9 + 7;

sort(begin(verticalCuts), end(verticalCuts));

sort(begin(horizontalCuts), end(horizontalCuts));

int mx = max(verticalCuts[0], w - verticalCuts.back());

int my = max(horizontalCuts[0], h - horizontalCuts.back());

for (int i = 1; i < verticalCuts.size(); ++i)

mx = max(mx, verticalCuts[i] - verticalCuts[i - 1]);

for (int i = 1; i < horizontalCuts.size(); ++i)

my = max(my, horizontalCuts[i] - horizontalCuts[i - 1]);

return static_cast<long>(mx) * my % kMod;

}

};

花花酱 LeetCode 1456. Maximum Number of Vowels in a Substring of Given Length

By zxi on May 23, 2020

Given a string s and an integer k.

Return the maximum number of vowel letters in any substring of s with length k.

Vowel letters in English are (a, e, i, o, u).

Example 1:

Input: s = "abciiidef", k = 3
Output: 3
Explanation: The substring "iii" contains 3 vowel letters.

Example 2:

Input: s = "aeiou", k = 2
Output: 2
Explanation: Any substring of length 2 contains 2 vowels.

Example 3:

Input: s = "leetcode", k = 3
Output: 2
Explanation: "lee", "eet" and "ode" contain 2 vowels.

Example 4:

Input: s = "rhythms", k = 4
Output: 0
Explanation: We can see that s doesn't have any vowel letters.

Example 5:

Input: s = "tryhard", k = 4
Output: 1

Constraints:

1 <= s.length <= 10^5
s consists of lowercase English letters.
1 <= k <= s.length

Solution: Sliding Window

Keep tracking the number of vows in a window of size k.

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

C++

// Author: Huahua

class Solution {

public:

int maxVowels(string s, int k) {

vector<int> v(128);

v['a'] = v['e'] = v['i'] = v['o'] = v['u'] = 1;

int total = 0;

int ans = 0;

for (int i = 1; i <= s.length(); ++i) {

total += v[s[i - 1]];

if (i >= k) {

ans = max(ans, total);

total -= v[s[i - k]];

}

return ans;

}

};

花花酱 LeetCode 1448. Count Good Nodes in Binary Tree

By zxi on May 17, 2020

Given a binary tree root, a node X in the tree is named good if in the path from root to X there are no nodes with a value greater than X.

Return the number of good nodes in the binary tree.

Example 1:

Input: root = [3,1,4,3,null,1,5]
Output: 4
Explanation: Nodes in blue are good.
Root Node (3) is always a good node.
Node 4 -> (3,4) is the maximum value in the path starting from the root.
Node 5 -> (3,4,5) is the maximum value in the path
Node 3 -> (3,1,3) is the maximum value in the path.

Example 2:

Input: root = [3,3,null,4,2]
Output: 3
Explanation: Node 2 -> (3, 3, 2) is not good, because "3" is higher than it.

Example 3:

Input: root = [1]
Output: 1
Explanation: Root is considered as good.

Constraints:

The number of nodes in the binary tree is in the range [1, 10^5].
Each node’s value is between [-10^4, 10^4].

Solution: Recursion

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

C++

// Author: Huahua

class Solution {

public:

int goodNodes(TreeNode* root, int max_val = INT_MIN) {

if (!root) return 0;

return goodNodes(root->left, max(max_val, root->val))

+ goodNodes(root->right, max(max_val, root->val))

+ (root->val >= max_val ? 1 : 0);

}

};