Formatted question description: https://leetcode.ca/all/1774.html

1774. Closest Dessert Cost

Level

Medium

Description

You would like to make dessert and are preparing to buy the ingredients. You have n ice cream base flavors and m types of toppings to choose from. You must follow these rules when making your dessert:

  • There must be exactly one ice cream base.
  • You can add one or more types of topping or have no toppings at all.
  • There are at most two of each type of topping.

You are given three inputs:

  • baseCosts, an integer array of length n, where each baseCosts[i] represents the price of the i-th ice cream base flavor.
  • toppingCosts, an integer array of length m, where each toppingCosts[i] is the price of one of the i-th topping.
  • target, an integer representing your target price for dessert.

You want to make a dessert with a total cost as close to target as possible.

Return the closest possible cost of the dessert to target. If there are multiple, return the lower one.

Example 1:

Input: baseCosts = [1,7], toppingCosts = [3,4], target = 10

Output: 10

Explanation: Consider the following combination (all 0-indexed):

  • Choose base 1: cost 7
  • Take 1 of topping 0: cost 1 x 3 = 3
  • Take 0 of topping 1: cost 0 x 4 = 0

Total: 7 + 3 + 0 = 10.

Example 2:

Input: baseCosts = [2,3], toppingCosts = [4,5,100], target = 18

Output: 17

Explanation: Consider the following combination (all 0-indexed):

  • Choose base 1: cost 3
  • Take 1 of topping 0: cost 1 x 4 = 4
  • Take 2 of topping 1: cost 2 x 5 = 10
  • Take 0 of topping 2: cost 0 x 100 = 0

Total: 3 + 4 + 10 + 0 = 17. You cannot make a dessert with a total cost of 18.

Example 3:

Input: baseCosts = [3,10], toppingCosts = [2,5], target = 9

Output: 8

Explanation: It is possible to make desserts with cost 8 and 10. Return 8 as it is the lower cost.

Example 4:

Input: baseCosts = [10], toppingCosts = [1], target = 1

Output: 10

Explanation: Notice that you don’t have to have any toppings, but you must have exactly one base.

Constraints:

  • n == baseCosts.length
  • m == toppingCosts.length
  • 1 <= n, m <= 10
  • 1 <= baseCosts[i], toppingCosts[i] <= 10^4
  • 1 <= target <= 10^4

Solution

Loop over all possible combinations of toppingCosts, where each topping has count 0, 1 or 2. For each combination, calculate the total cost of toppings, and loop over baseCosts to calculate all possible values of total cost. Find the closest cost among all possible values and return the closest cost.

class Solution {
    public int closestCost(int[] baseCosts, int[] toppingCosts, int target) {
        int closest = Integer.MAX_VALUE;
        for (int baseCost : baseCosts)
            closest = Math.min(closest, baseCost);
        int minDifference = Math.abs(closest - target);
        int toppingsCount = toppingCosts.length;
        int totalToppings = (int) Math.pow(3, toppingsCount);
        for (int i = 0; i < totalToppings; i++) {
            int[] combination = getCombination(toppingsCount, i);
            int toppingCost = getToppingCost(toppingCosts, combination);
            for (int baseCost : baseCosts) {
                int totalCost = toppingCost + baseCost;
                int difference = Math.abs(totalCost - target);
                if (difference < minDifference || difference == minDifference && totalCost < closest) {
                    closest = totalCost;
                    minDifference = difference;
                }
            }
        }
        return closest;
    }

    public int[] getCombination(int length, int index) {
        int[] combination = new int[length];
        for (int i = length - 1; i >= 0 && index > 0; i--) {
            int remainder = index % 3;
            combination[i] = remainder;
            index /= 3;
        }
        return combination;
    }

    public int getToppingCost(int[] toppingCosts, int[] combination) {
        int cost = 0;
        int length = toppingCosts.length;
        for (int i = 0; i < length; i++)
            cost += toppingCosts[i] * combination[i];
        return cost;
    }
}

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