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Formatted question description: https://leetcode.ca/all/2279.html

2279. Maximum Bags With Full Capacity of Rocks

  • Difficulty: Medium.
  • Related Topics: Array, Greedy, Sorting.
  • Similar Questions: Capacity To Ship Packages Within D Days, Maximum Units on a Truck.

Problem

You have n bags numbered from 0 to n - 1. You are given two 0-indexed integer arrays capacity and rocks. The ith bag can hold a maximum of capacity[i] rocks and currently contains rocks[i] rocks. You are also given an integer additionalRocks, the number of additional rocks you can place in any of the bags.

Return** the maximum number of bags that could have full capacity after placing the additional rocks in some bags.**

  Example 1:

Input: capacity = [2,3,4,5], rocks = [1,2,4,4], additionalRocks = 2
Output: 3
Explanation:
Place 1 rock in bag 0 and 1 rock in bag 1.
The number of rocks in each bag are now [2,3,4,4].
Bags 0, 1, and 2 have full capacity.
There are 3 bags at full capacity, so we return 3.
It can be shown that it is not possible to have more than 3 bags at full capacity.
Note that there may be other ways of placing the rocks that result in an answer of 3.

Example 2:

Input: capacity = [10,2,2], rocks = [2,2,0], additionalRocks = 100
Output: 3
Explanation:
Place 8 rocks in bag 0 and 2 rocks in bag 2.
The number of rocks in each bag are now [10,2,2].
Bags 0, 1, and 2 have full capacity.
There are 3 bags at full capacity, so we return 3.
It can be shown that it is not possible to have more than 3 bags at full capacity.
Note that we did not use all of the additional rocks.

  Constraints:

  • n == capacity.length == rocks.length

  • 1 <= n <= 5 * 104

  • 1 <= capacity[i] <= 109

  • 0 <= rocks[i] <= capacity[i]

  • 1 <= additionalRocks <= 109

Solution (Java, C++, Python)

  • class Solution {
        public int maximumBags(int[] capacity, int[] rocks, int additionalRocks) {
            int len = capacity.length;
            for (int i = 0; i < len; i++) {
                capacity[i] -= rocks[i];
            }
            Arrays.sort(capacity);
            int total = 0;
            for (int i = 0; i < len && additionalRocks > 0; i++) {
                if (capacity[i] <= additionalRocks) {
                    additionalRocks -= capacity[i];
                    total++;
                }
            }
            return total;
        }
    }
    
    ############
    
    class Solution {
        public int maximumBags(int[] capacity, int[] rocks, int additionalRocks) {
            int n = capacity.length;
            int[] d = new int[n];
            for (int i = 0; i < n; ++i) {
                d[i] = capacity[i] - rocks[i];
            }
            Arrays.sort(d);
            int ans = 0;
            for (int v : d) {
                if (v <= additionalRocks) {
                    ++ans;
                    additionalRocks -= v;
                } else {
                    break;
                }
            }
            return ans;
        }
    }
    
  • class Solution:
        def maximumBags(
            self, capacity: List[int], rocks: List[int], additionalRocks: int
        ) -> int:
            d = [a - b for a, b in zip(capacity, rocks)]
            d.sort()
            ans = 0
            for v in d:
                if v <= additionalRocks:
                    ans += 1
                    additionalRocks -= v
            return ans
    
    ############
    
    # 2279. Maximum Bags With Full Capacity of Rocks
    # https://leetcode.com/problems/maximum-bags-with-full-capacity-of-rocks/
    
    class Solution:
        def maximumBags(self, capacity: List[int], rocks: List[int], extra: int) -> int:
            res = 0
            A = []
            
            for cap, rock in zip(capacity, rocks):
                if cap == rock:
                    res += 1
                    continue
                
                A.append(cap - rock)
            A.sort()
            
            for x in A:
                if extra >= x:
                    res += 1
                    extra -= x
                else:
                    break
            
            return res
    
    
  • class Solution {
    public:
        int maximumBags(vector<int>& capacity, vector<int>& rocks, int additionalRocks) {
            int n = capacity.size();
            vector<int> d(n);
            for (int i = 0; i < n; ++i) d[i] = capacity[i] - rocks[i];
            sort(d.begin(), d.end());
            int ans = 0;
            for (int& v : d) {
                if (v > additionalRocks) break;
                ++ans;
                additionalRocks -= v;
            }
            return ans;
        }
    };
    
  • func maximumBags(capacity []int, rocks []int, additionalRocks int) int {
    	n := len(capacity)
    	d := make([]int, n)
    	for i, v := range capacity {
    		d[i] = v - rocks[i]
    	}
    	sort.Ints(d)
    	ans := 0
    	for _, v := range d {
    		if v > additionalRocks {
    			break
    		}
    		ans++
    		additionalRocks -= v
    	}
    	return ans
    }
    
  • function maximumBags(
        capacity: number[],
        rocks: number[],
        additionalRocks: number,
    ): number {
        const n = capacity.length;
        const diffs = capacity.map((c, i) => c - rocks[i]);
        diffs.sort((a, b) => a - b);
        let ans = 0;
        for (
            let i = 0;
            i < n && (diffs[i] === 0 || diffs[i] <= additionalRocks);
            i++
        ) {
            ans++;
            additionalRocks -= diffs[i];
        }
        return ans;
    }
    
    
  • impl Solution {
        pub fn maximum_bags(capacity: Vec<i32>, rocks: Vec<i32>, mut additional_rocks: i32) -> i32 {
            let n = capacity.len();
            let mut diffs = vec![0; n];
            for i in 0..n {
                diffs[i] = capacity[i] - rocks[i];
            }
            diffs.sort();
            for i in 0..n {
                if diffs[i] > additional_rocks {
                    return i as i32;
                }
                additional_rocks -= diffs[i];
            }
            n as i32
        }
    }
    
    

Explain:

nope.

Complexity:

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

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