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41 changes: 41 additions & 0 deletions src/main/java/g0901_1000/s0932_beautiful_array/Solution.java
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package g0901_1000.s0932_beautiful_array;

// #Medium #Array #Math #Divide_and_Conquer

import java.util.HashMap;
import java.util.Map;

public class Solution {
private Map<Integer, int[]> memo;

public int[] beautifulArray(int n) {
memo = new HashMap<>();

return helper(n);
}

private int[] helper(int n) {
if (n == 1) {
memo.put(1, new int[] {1});
return new int[] {1};
}

if (memo.containsKey(n)) {
return memo.get(n);
}

int mid = (n + 1) / 2;
int[] left = helper(mid);
int[] right = helper(n - mid);
int[] rst = new int[n];
for (int i = 0; i < mid; i++) {
rst[i] = left[i] * 2 - 1;
}
for (int i = mid; i < n; i++) {
rst[i] = right[i - mid] * 2;
}

memo.put(n, rst);
return rst;
}
}
26 changes: 26 additions & 0 deletions src/main/java/g0901_1000/s0932_beautiful_array/readme.md
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932\. Beautiful Array

Medium

An array `nums` of length `n` is **beautiful** if:

* `nums` is a permutation of the integers in the range `[1, n]`.
* For every `0 <= i < j < n`, there is no index `k` with `i < k < j` where `2 * nums[k] == nums[i] + nums[j]`.

Given the integer `n`, return _any **beautiful** array_ `nums` _of length_ `n`. There will be at least one valid answer for the given `n`.

**Example 1:**

**Input:** n = 4

**Output:** [2,1,4,3]

**Example 2:**

**Input:** n = 5

**Output:** [3,1,2,5,4]

**Constraints:**

* `1 <= n <= 1000`
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package g0901_1000.s0933_number_of_recent_calls;

// #Easy #Design #Queue #Data_Stream

import java.util.LinkedList;
import java.util.Queue;

public class RecentCounter {
private Queue<Integer> q;

public RecentCounter() {
q = new LinkedList<>();
}

public int ping(int t) {
q.offer(t);
int min = t - 3000;
while (min > q.peek()) {
q.poll();
}
return q.size();
}
}
26 changes: 26 additions & 0 deletions src/main/java/g0901_1000/s0933_number_of_recent_calls/readme.md
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933\. Number of Recent Calls

Easy

You have a `RecentCounter` class which counts the number of recent requests within a certain time frame.

Implement the `RecentCounter` class:

* `RecentCounter()` Initializes the counter with zero recent requests.
* `int ping(int t)` Adds a new request at time `t`, where `t` represents some time in milliseconds, and returns the number of requests that has happened in the past `3000` milliseconds (including the new request). Specifically, return the number of requests that have happened in the inclusive range `[t - 3000, t]`.

It is **guaranteed** that every call to `ping` uses a strictly larger value of `t` than the previous call.

**Example 1:**

**Input** ["RecentCounter", "ping", "ping", "ping", "ping"] [[], [1], [100], [3001], [3002]]

**Output:** [null, 1, 2, 3, 3]

**Explanation:** RecentCounter recentCounter = new RecentCounter(); recentCounter.ping(1); // requests = [1], range is [-2999,1], return 1 recentCounter.ping(100); // requests = [1, 100], range is [-2900,100], return 2 recentCounter.ping(3001); // requests = [1, 100, 3001], range is [1,3001], return 3 recentCounter.ping(3002); // requests = [1, 100, 3001, 3002], range is [2,3002], return 3

**Constraints:**

* <code>1 <= t <= 10<sup>9</sup></code>
* Each test case will call `ping` with **strictly increasing** values of `t`.
* At most <code>10<sup>4</sup></code> calls will be made to `ping`.
80 changes: 80 additions & 0 deletions src/main/java/g0901_1000/s0934_shortest_bridge/Solution.java
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package g0901_1000.s0934_shortest_bridge;

// #Medium #Array #Depth_First_Search #Breadth_First_Search #Matrix

import java.util.ArrayDeque;

public class Solution {
public static class Pair {
int x;
int y;

Pair(int x, int y) {
this.x = x;
this.y = y;
}
}

int[][] dirs = {{1, 0}, {0, 1}, {-1, 0}, {0, -1}};

public int shortestBridge(int[][] grid) {
ArrayDeque<Pair> q = new ArrayDeque<>();
boolean flag = false;
boolean[][] visited = new boolean[grid.length][grid[0].length];

for (int i = 0; i < grid.length && !flag; i++) {
for (int j = 0; j < grid[i].length && !flag; j++) {
if (grid[i][j] == 1) {
dfs(grid, i, j, visited, q);
flag = true;
}
}
}

int level = -1;

while (!q.isEmpty()) {
int size = q.size();
level++;
while (size-- > 0) {
Pair rem = q.removeFirst();
for (int[] dir : dirs) {
int newrow = rem.x + dir[0];
int newcol = rem.y + dir[1];

if (newrow >= 0
&& newcol >= 0
&& newrow < grid.length
&& newcol < grid[0].length
&& !visited[newrow][newcol]) {
if (grid[newrow][newcol] == 1) {
return level;
}

q.add(new Pair(newrow, newcol));
visited[newrow][newcol] = true;
}
}
}
}
return -1;
}

private void dfs(int[][] grid, int row, int col, boolean[][] visited, ArrayDeque<Pair> q) {
visited[row][col] = true;
q.add(new Pair(row, col));
for (int[] dir : dirs) {
int newrow = row + dir[0];
int newcol = col + dir[1];

if (newrow >= 0
&& newcol >= 0
&& newrow < grid.length
&& newcol < grid[0].length
&& !visited[newrow][newcol]
&& grid[newrow][newcol] == 1) {
dfs(grid, newrow, newcol, visited, q);
}
}
}
}
36 changes: 36 additions & 0 deletions src/main/java/g0901_1000/s0934_shortest_bridge/readme.md
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934\. Shortest Bridge

Medium

You are given an `n x n` binary matrix `grid` where `1` represents land and `0` represents water.

An **island** is a 4-directionally connected group of `1`'s not connected to any other `1`'s. There are **exactly two islands** in `grid`.

You may change `0`'s to `1`'s to connect the two islands to form **one island**.

Return _the smallest number of_ `0`_'s you must flip to connect the two islands_.

**Example 1:**

**Input:** grid = [[0,1],[1,0]]

**Output:** 1

**Example 2:**

**Input:** grid = [[0,1,0],[0,0,0],[0,0,1]]

**Output:** 2

**Example 3:**

**Input:** grid = [[1,1,1,1,1],[1,0,0,0,1],[1,0,1,0,1],[1,0,0,0,1],[1,1,1,1,1]]

**Output:** 1

**Constraints:**

* `n == grid.length == grid[i].length`
* `2 <= n <= 100`
* `grid[i][j]` is either `0` or `1`.
* There are exactly two islands in `grid`.
48 changes: 48 additions & 0 deletions src/main/java/g0901_1000/s0935_knight_dialer/Solution.java
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package g0901_1000.s0935_knight_dialer;

// #Medium #Dynamic_Programming

import java.util.ArrayList;
import java.util.List;

public class Solution {

private static final int[][] MAP = new int[10][];
private static final List<int[]> MEMO = new ArrayList<>();

static {
MAP[0] = new int[] {4, 6};
MAP[1] = new int[] {6, 8};
MAP[2] = new int[] {7, 9};
MAP[3] = new int[] {4, 8};
MAP[4] = new int[] {3, 9, 0};
MAP[5] = new int[0];
MAP[6] = new int[] {1, 7, 0};
MAP[7] = new int[] {2, 6};
MAP[8] = new int[] {1, 3};
MAP[9] = new int[] {2, 4};
MEMO.add(new int[] {1, 1, 1, 1, 1, 0, 1, 1, 1, 1});
}

public int knightDialer(int n) {
if (n == 1) {
return 10;
}
int mod = 1000_000_007;
while (MEMO.size() < n) {
int[] cur = MEMO.get(MEMO.size() - 1);
int[] next = new int[10];
for (int i = 0; i < 10; i++) {
for (int d : MAP[i]) {
next[d] = (next[d] + cur[i]) % mod;
}
}
MEMO.add(next);
}
int sum = 0;
for (int x : MEMO.get(n - 1)) {
sum = (sum + x) % mod;
}
return sum;
}
}
47 changes: 47 additions & 0 deletions src/main/java/g0901_1000/s0935_knight_dialer/readme.md
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935\. Knight Dialer

Medium

The chess knight has a **unique movement**, it may move two squares vertically and one square horizontally, or two squares horizontally and one square vertically (with both forming the shape of an **L**). The possible movements of chess knight are shown in this diagaram:

A chess knight can move as indicated in the chess diagram below:

![](https://assets.leetcode.com/uploads/2020/08/18/chess.jpg)

We have a chess knight and a phone pad as shown below, the knight **can only stand on a numeric cell** (i.e. blue cell).

![](https://assets.leetcode.com/uploads/2020/08/18/phone.jpg)

Given an integer `n`, return how many distinct phone numbers of length `n` we can dial.

You are allowed to place the knight **on any numeric cell** initially and then you should perform `n - 1` jumps to dial a number of length `n`. All jumps should be **valid** knight jumps.

As the answer may be very large, **return the answer modulo** <code>10<sup>9</sup> + 7</code>.

**Example 1:**

**Input:** n = 1

**Output:** 10

**Explanation:** We need to dial a number of length 1, so placing the knight over any numeric cell of the 10 cells is sufficient.

**Example 2:**

**Input:** n = 2

**Output:** 20

**Explanation:** All the valid number we can dial are [04, 06, 16, 18, 27, 29, 34, 38, 40, 43, 49, 60, 61, 67, 72, 76, 81, 83, 92, 94]

**Example 3:**

**Input:** n = 3131

**Output:** 136006598

**Explanation:** Please take care of the mod.

**Constraints:**

* `1 <= n <= 5000`
20 changes: 18 additions & 2 deletions src/test/java/com_github_leetcode/CommonUtils.java
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Expand Up @@ -6,14 +6,30 @@

public class CommonUtils {

public static void printArray(int[] nums) {
public static void printArrayInteger(int[] nums) {
for (int i : nums) {
System.out.print(i + ", ");
}
System.out.println();
}

public static void printArray(double[] nums) {
public static boolean compareArray(int[] arr1, int[] arr2) {
for (int i : arr1) {
boolean include = false;
for (int j : arr2) {
if (i == j) {
include = true;
break;
}
}
if (!include) {
return false;
}
}
return true;
}

public static void printArrayDouble(double[] nums) {
for (double i : nums) {
System.out.print(i + ", ");
}
Expand Down
23 changes: 23 additions & 0 deletions src/test/java/g0901_1000/s0932_beautiful_array/SolutionTest.java
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package g0901_1000.s0932_beautiful_array;

import static org.hamcrest.CoreMatchers.equalTo;
import static org.hamcrest.MatcherAssert.assertThat;

import com_github_leetcode.CommonUtils;
import org.junit.jupiter.api.Test;

class SolutionTest {
@Test
void beautifulArray() {
int[] result = new Solution().beautifulArray(4);
int[] expected = new int[] {2, 1, 4, 3};
assertThat(CommonUtils.compareArray(result, expected), equalTo(true));
}

@Test
void beautifulArray2() {
int[] result = new Solution().beautifulArray(5);
int[] expected = new int[] {3, 1, 2, 5, 4};
assertThat(CommonUtils.compareArray(result, expected), equalTo(true));
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@javadev javadev Feb 16, 2022

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Do we need it? assertThat/equalTo can compare arrays.

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@ThanhNIT ThanhNIT Feb 16, 2022

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items in these array has not same order

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Ok, let's use this method.

}
}
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