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There is a special kind of apple tree that grows apples every day for n days. On the ith day, the tree grows apples[i] apples that will rot after days[i] days, that is on day i + days[i] the apples will be rotten and cannot be eaten. On some days, the apple tree does not grow any apples, which are denoted by apples[i] == 0 and days[i] == 0.

You decided to eat at most one apple a day (to keep the doctors away). Note that you can keep eating after the first n days.

Given two integer arrays days and apples of length n, return the maximum number of apples you can eat.

 

Example 1:

Input: apples = [1,2,3,5,2], days = [3,2,1,4,2]
Output: 7
Explanation: You can eat 7 apples:
- On the first day, you eat an apple that grew on the first day.
- On the second day, you eat an apple that grew on the second day.
- On the third day, you eat an apple that grew on the second day. After this day, the apples that grew on the third day rot.
- On the fourth to the seventh days, you eat apples that grew on the fourth day.

Example 2:

Input: apples = [3,0,0,0,0,2], days = [3,0,0,0,0,2]
Output: 5
Explanation: You can eat 5 apples:
- On the first to the third day you eat apples that grew on the first day.
- Do nothing on the fouth and fifth days.
- On the sixth and seventh days you eat apples that grew on the sixth day.

 

Constraints:

  • apples.length == n
  • days.length == n
  • 1 <= n <= 2 * 104
  • 0 <= apples[i], days[i] <= 2 * 104
  • days[i] = 0 if and only if apples[i] = 0.

Related Topics:
Heap, Greedy

Solution 1.

We greedily pick the apples with smallest end time.

// OJ: https://leetcode.com/problems/maximum-number-of-eaten-apples/
// Author: github.com/lzl124631x
// Time: O(SUM(A) * logN)
// Space: O(N)
class Solution {
public:
    int eatenApples(vector<int>& A, vector<int>& D) {
        int N = A.size(), ans = 0;
        priority_queue<pair<int, int>, vector<pair<int, int>>, greater<>> pq; // end time, cnt
        for (int i = 0; i < N || pq.size(); ++i) {
            while (pq.size()) {
                auto [end, cnt] = pq.top(); // remove rotten apples
                if (end <= i) pq.pop();
                else break;
            }
            if (i < N && A[i] != 0) pq.emplace(i + D[i], A[i]);
            if (pq.size()) { // greedily use the one with the smallest end time
                auto [end, cnt] = pq.top();
                pq.pop();
                ++ans;
                if (cnt - 1 > 0) pq.emplace(end, cnt - 1);
            }
        }
        return ans;
    }
};

When i >= N, we don't need to pick the apples one by one. Instead, we can take all the apples in ascending order of the end time as long as it's not rotten.

// OJ: https://leetcode.com/problems/maximum-number-of-eaten-apples/
// Author: github.com/lzl124631x
// Time: O(SUM(A) * logN)
// Space: O(N)
class Solution {
public:
    int eatenApples(vector<int>& A, vector<int>& D) {
        int N = A.size(), day = N, ans = 0;
        priority_queue<pair<int, int>, vector<pair<int, int>>, greater<>> pq; // end time, cnt
        for (int i = 0; i < N; ++i) {
            while (pq.size()) {
                auto [end, cnt] = pq.top(); // remove rotten apples
                if (end <= i) pq.pop();
                else break;
            }
            if (i < N && A[i] != 0) pq.emplace(i + D[i], A[i]);
            if (pq.size()) { // greedily use the one with the smallest end time
                auto [end, cnt] = pq.top();
                pq.pop();
                ++ans;
                if (cnt - 1 > 0) pq.emplace(end, cnt - 1);
            }
        }
        while (pq.size()) {
            auto [end, cnt] = pq.top();
            pq.pop();
            if (end <= day) continue;
            int c = min(cnt, end - day);
            ans += c;
            day += c;
        }
        return ans;
    }
};