1090. Largest Values From Labels
Description
There is a set of n
items. You are given two integer arrays values
and labels
where the value and the label of the ith
element are values[i]
and labels[i]
respectively. You are also given two integers numWanted
and useLimit
.
Choose a subset s
of the n
elements such that:
- The size of the subset
s
is less than or equal tonumWanted
. - There are at most
useLimit
items with the same label ins
.
The score of a subset is the sum of the values in the subset.
Return the maximum score of a subset s
.
Example 1:
Input: values = [5,4,3,2,1], labels = [1,1,2,2,3], numWanted = 3, useLimit = 1 Output: 9 Explanation: The subset chosen is the first, third, and fifth items.
Example 2:
Input: values = [5,4,3,2,1], labels = [1,3,3,3,2], numWanted = 3, useLimit = 2 Output: 12 Explanation: The subset chosen is the first, second, and third items.
Example 3:
Input: values = [9,8,8,7,6], labels = [0,0,0,1,1], numWanted = 3, useLimit = 1 Output: 16 Explanation: The subset chosen is the first and fourth items.
Constraints:
n == values.length == labels.length
1 <= n <= 2 * 104
0 <= values[i], labels[i] <= 2 * 104
1 <= numWanted, useLimit <= n
Solution
largest-values-from-labels.py
class Solution:
def largestValsFromLabels(self, values: List[int], labels: List[int], num_wanted: int, use_limit: int) -> int:
labels = [i[1] for i in sorted(enumerate(labels), key = lambda x:(-values[x[0]]))]
values.sort(reverse = True)
used = collections.defaultdict(int)
res = i = 0
while i < len(values) and num_wanted > 0:
v, l = values[i], labels[i]
if used[l] < use_limit:
res += v
used[l] += 1
num_wanted -= 1
i += 1
return res