Description
You are given a 0-indexed array nums
of size n
consisting of positive integers.
You are also given a 2D array queries
of size m
where queries[i] = [indexi, ki]
.
Initially all elements of the array are unmarked.
You need to apply m
queries on the array in order, where on the ith
query you do the following:
- Mark the element at index
indexi
if it is not already marked. - Then mark
ki
unmarked elements in the array with the smallest values. If multiple such elements exist, mark the ones with the smallest indices. And if less thanki
unmarked elements exist, then mark all of them.
Return an array answer of size m
where answer[i]
is the sum of unmarked elements in the array after the ith
query.
Example 1:
Input: nums = [1,2,2,1,2,3,1], queries = [[1,2],[3,3],[4,2]]
Output: [8,3,0]
Explanation:
We do the following queries on the array:
- Mark the element at index
1
, and2
of the smallest unmarked elements with the smallest indices if they exist, the marked elements now arenums = [**1**,**2**,2,**1**,2,3,1]
. The sum of unmarked elements is2 + 2 + 3 + 1 = 8
. - Mark the element at index
3
, since it is already marked we skip it. Then we mark3
of the smallest unmarked elements with the smallest indices, the marked elements now arenums = [**1**,**2**,**2**,**1**,**2**,3,**1**]
. The sum of unmarked elements is3
. - Mark the element at index
4
, since it is already marked we skip it. Then we mark2
of the smallest unmarked elements with the smallest indices if they exist, the marked elements now arenums = [**1**,**2**,**2**,**1**,**2**,**3**,**1**]
. The sum of unmarked elements is0
.
Example 2:
Input: nums = [1,4,2,3], queries = 0,1
Output: [7]
Explanation: We do one query which is mark the element at index 0
and mark the smallest element among unmarked elements. The marked elements will be nums = [**1**,4,**2**,3]
, and the sum of unmarked elements is 4 + 3 = 7
.
Constraints:
n == nums.length
m == queries.length
1 <= m <= n <= 105
1 <= nums[i] <= 105
queries[i].length == 2
0 <= indexi, ki <= n - 1
Code
Time Complexity: , Space Complexity:
對於 queries[i][0]
來說,不管怎麼樣都會需要被從 totalSum 中減去。
對於 queries[i][1]
來說,代表需要減去除了已經被減去 queries[i][0]
以外的數量。
所以使用 while(pq.size() && q[1])
,q[1]
只有在 pq
pop 出的元素並非已經處理過的 queries[i][0], i = 0, 1, ..., nums.size() - 1
時才會減一。