LeetCode in Kotlin

1659. Maximize Grid Happiness

Hard

You are given four integers, m, n, introvertsCount, and extrovertsCount. You have an m x n grid, and there are two types of people: introverts and extroverts. There are introvertsCount introverts and extrovertsCount extroverts.

You should decide how many people you want to live in the grid and assign each of them one grid cell. Note that you do not have to have all the people living in the grid.

The happiness of each person is calculated as follows:

Neighbors live in the directly adjacent cells north, east, south, and west of a person’s cell.

The grid happiness is the sum of each person’s happiness. Return the maximum possible grid happiness.

Example 1:

Input: m = 2, n = 3, introvertsCount = 1, extrovertsCount = 2

Output: 240

Explanation: Assume the grid is 1-indexed with coordinates (row, column).

We can put the introvert in cell (1,1) and put the extroverts in cells (1,3) and (2,3).

The grid happiness is 120 + 60 + 60 = 240.

The above figure shows the grid in this example with each person’s happiness. The introvert stays in the light green cell while the extroverts live on the light purple cells.

Example 2:

Input: m = 3, n = 1, introvertsCount = 2, extrovertsCount = 1

Output: 260

Explanation: Place the two introverts in (1,1) and (3,1) and the extrovert at (2,1).

The grid happiness is 90 + 80 + 90 = 260.

Example 3:

Input: m = 2, n = 2, introvertsCount = 4, extrovertsCount = 0

Output: 240

Constraints:

Solution

class Solution {
    private var m = 0
    private var n = 0
    private lateinit var dp: Array<Array<Array<Array<IntArray>>>>
    private val notPlace = 0
    private val intro = 1
    private val extro = 2
    private var mod = 0

    fun getMaxGridHappiness(m: Int, n: Int, introvertsCount: Int, extrovertsCount: Int): Int {
        this.m = m
        this.n = n
        val numOfState = Math.pow(3.0, n.toDouble()).toInt()
        dp = Array(m) {
            Array(n) {
                Array(introvertsCount + 1) {
                    Array(extrovertsCount + 1) { IntArray(numOfState) }
                }
            }
        }
        mod = numOfState / 3
        return dfs(0, 0, introvertsCount, extrovertsCount, 0)
    }

    private fun dfs(x: Int, y: Int, ic: Int, ec: Int, state: Int): Int {
        if (x == m) {
            return 0
        } else if (y == n) {
            return dfs(x + 1, 0, ic, ec, state)
        }
        if (dp[x][y][ic][ec][state] != 0) {
            return dp[x][y][ic][ec][state]
        }
        // 1 - not place
        var max = dfs(x, y + 1, ic, ec, state % mod * 3)
        val up = state / mod
        val left = state % 3
        // 2 - place intro
        if (ic > 0) {
            var temp = 120
            if (x > 0 && up != notPlace) {
                temp -= 30
                temp += if (up == intro) -30 else 20
            }
            if (y > 0 && left != notPlace) {
                temp -= 30
                temp += if (left == intro) -30 else 20
            }
            var nextState = state
            nextState %= mod
            nextState *= 3
            nextState += intro
            max = Math.max(max, temp + dfs(x, y + 1, ic - 1, ec, nextState))
        }
        // 3 - place extro
        if (ec > 0) {
            var temp = 40
            if (x > 0 && up != notPlace) {
                temp += 20
                temp += if (up == intro) -30 else 20
            }
            if (y > 0 && left != notPlace) {
                temp += 20
                temp += if (left == intro) -30 else 20
            }
            var nextState = state
            nextState %= mod
            nextState *= 3
            nextState += extro
            max = Math.max(max, temp + dfs(x, y + 1, ic, ec - 1, nextState))
        }
        dp[x][y][ic][ec][state] = max
        return max
    }
}