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3790. Fruits Into Baskets Ii

Difficulty: Easy

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3790. Fruits Into Baskets II

Easy


You are given two arrays of integers, fruits and baskets, each of length n, where fruits[i] represents the quantity of the ith type of fruit, and baskets[j] represents the capacity of the jth basket.

From left to right, place the fruits according to these rules:

  • Each fruit type must be placed in the leftmost available basket with a capacity greater than or equal to the quantity of that fruit type.
  • Each basket can hold only one type of fruit.
  • If a fruit type cannot be placed in any basket, it remains unplaced.

Return the number of fruit types that remain unplaced after all possible allocations are made.

 

Example 1:

Input: fruits = [4,2,5], baskets = [3,5,4]

Output: 1

Explanation:

  • fruits[0] = 4 is placed in baskets[1] = 5.
  • fruits[1] = 2 is placed in baskets[0] = 3.
  • fruits[2] = 5 cannot be placed in baskets[2] = 4.

Since one fruit type remains unplaced, we return 1.

Example 2:

Input: fruits = [3,6,1], baskets = [6,4,7]

Output: 0

Explanation:

  • fruits[0] = 3 is placed in baskets[0] = 6.
  • fruits[1] = 6 cannot be placed in baskets[1] = 4 (insufficient capacity) but can be placed in the next available basket, baskets[2] = 7.
  • fruits[2] = 1 is placed in baskets[1] = 4.

Since all fruits are successfully placed, we return 0.

 

Constraints:

  • n == fruits.length == baskets.length
  • 1 <= n <= 100
  • 1 <= fruits[i], baskets[i] <= 1000

Solution

class Solution {
    public int numOfUnplacedFruits(int[] fruits, int[] baskets) {
        int n = fruits.length;
        int vis[] = new int[n];
        int count = 0;
        for (int i = 0; i < n; i++) {
            boolean flag = false;
            for (int j = 0; j < n; j++) {
                if (vis[j] == 0 && baskets[j] >= fruits[i]) {
                    vis[j] = 1;
                    flag = true;
                    break;
                }
            }
            if (flag == false) count++;
        }
        return count;
    }
}

Complexity Analysis

  • Time Complexity: O(?)
  • Space Complexity: O(?)

Approach

Detailed explanation of the approach will be added here