We have a set of items: the i
-th item has value values[i]
and label labels[i]
.
Then, we choose a subset S
of these items, such that:
|S| <= num_wanted
- For every label
L
, the number of items inS
with labelL
is<= use_limit
.
Return the largest possible sum of the subset S
.
Example 1:
Input: values = [5,4,3,2,1], labels = [1,1,2,2,3], num_wanted
= 3, use_limit = 1
Output: 9
Explanation: The subset chosen is the first, third, and fifth item.
Example 2:
Input: values = [5,4,3,2,1], labels = [1,3,3,3,2], num_wanted
= 3, use_limit = 2
Output: 12
Explanation: The subset chosen is the first, second, and third item.
Example 3:
Input: values = [9,8,8,7,6], labels = [0,0,0,1,1], num_wanted
= 3, use_limit = 1
Output: 16
Explanation: The subset chosen is the first and fourth item.
Example 4:
Input: values = [9,8,8,7,6], labels = [0,0,0,1,1], num_wanted
= 3, use_limit = 2
Output: 24
Explanation: The subset chosen is the first, second, and fourth item.
Note:
1 <= values.length == labels.length <= 20000
0 <= values[i], labels[i] <= 20000
1 <= num_wanted, use_limit <= values.length
思路:贪心
class Solution(object):
def largestValsFromLabels(self, values, labels, num_wanted, use_limit):
"""
:type values: List[int]
:type labels: List[int]
:type num_wanted: int
:type use_limit: int
:rtype: int
"""
vls = [(v,l) for v,l in zip(values,labels)]
vls.sort(key=lambda a:-a[0])
res=0
d={}
i=0
for _ in range(num_wanted):
while i<len(vls) and d.get(vls[i][1],0)>=use_limit:
i+=1
if i==len(vls): break
d[vls[i][1]]=d.get(vls[i][1],0)+1
res+=vls[i][0]
i+=1
return res