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0373-Find-K-Pairs-with-Smallest-Sums.py
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0373-Find-K-Pairs-with-Smallest-Sums.py
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'''
You are given two integer arrays nums1 and nums2 sorted in ascending order and an integer k.
Define a pair (u,v) which consists of one element from the first array and one element from the second array.
Find the k pairs (u1,v1),(u2,v2) ...(uk,vk) with the smallest sums.
Example 1:
Input: nums1 = [1,7,11], nums2 = [2,4,6], k = 3
Output: [[1,2],[1,4],[1,6]]
Explanation: The first 3 pairs are returned from the sequence:
[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: The first 2 pairs are returned from 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: All possible pairs are returned from the sequence: [1,3],[2,3]
'''
class Solution:
def kSmallestPairs(self, nums1: List[int], nums2: List[int], k: int) -> List[List[int]]:
res = []
if nums1 and nums2:
queue = [(nums1[i] + nums2[0], (i, 0)) for i in range(len(nums1))]
while len(res) < k and queue:
summ, (i, j) = heapq.heappop(queue)
res.append([nums1[i], nums2[j]])
if j + 1 < len(nums2):
heapq.heappush(queue, (nums1[i] + nums2[j + 1], (i, j + 1)))
return res