Given two arrays of integers in ascending order nums1
and , and an integer . nums2
k
Defines a pair of values (u,v)
where the first element is from nums1
and the second element is from nums2
.
Please find the smallest number of k
pairs with (u1,v1)
, (u2,v2)
... (uk,vk)
.
Example 1:
Input: nums1 = [1,7,11], nums2 = [2,4,6], k = 3 Output: [1,2],[1,4],[1,6] Explanation: Return the sequence First 3 logarithms: [1,2],[1,4],[1,6],[7,2],[7,4],[11,2],[7,6],[11, 4],[11,6]
Example 2:
Input: nums1 = [1,1,2], nums2 = [1,2,3], k = 2 Output: [1,1],[1,1] Explanation: Returns the first 2 logarithms in the sequence: [ 1,1],[1,1],[1,2],[2,1],[1,2],[2,2],[1,3],[1,3],[2, 3]
Example 3:
Input: nums1 = [1,2], nums2 = [3], k = 3 Output: [1,3],[2,3] Explanation: It is also possible that all pairs in the sequence are returned: [1,3 ],[2,3]
Idea: Create the largest heap. When the length of the heap is greater than k, pop it out, and the one remaining in the heap is the smallest.
Note: You cannot directly create a large heap, so add a negative sign to the element each time you push (that is, take the opposite number), at this time the minimum value becomes the maximum value, and vice versa.
class Solution:
def kSmallestPairs(self, nums1: List[int], nums2: List[int], k: int) -> List[List[int]]:
# 当堆中的元素大于k个时,弹出堆顶的最大元素。 最后堆中剩下的k个元素即为最小的k个数对。
q = []
n = 0
nums1.sort()
nums2.sort()
for a in nums1[:k]:
for b in nums2[:k]:
heapq.heappush(q , (-a-b , [a,b]))
# 这个堆排序都是从小到大,如果是a+b,且堆进行弹出,弹出的都是队列的头部,最后保留的都是队尾元素,此时保留的是最大的k个组合。但如果是-a-b,则余下的是最小的k个组合
# print(q)
if len(q) > k:
heapq.heappop(q)
return [a[1] for a in q]