Medium
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.
Return 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]
Constraints:
1 <= nums1.length, nums2.length <= 105
-109 <= nums1[i], nums2[i] <= 109
nums1
and nums2
both are sorted in ascending order.1 <= k <= 1000
import heapq
from typing import List
class Solution:
def kSmallestPairs(self, nums1: List[int], nums2: List[int], k: int) -> List[List[int]]:
if not nums1 or not nums2:
return []
heap = []
result = []
# Initialize heap with first k pairs from nums1 and first element of nums2
for i in range(min(len(nums1), k)):
heapq.heappush(heap, (nums1[i] + nums2[0], i, 0))
# Extract k smallest pairs
for _ in range(min(k, len(nums1) * len(nums2))):
if not heap:
break
_, i, j = heapq.heappop(heap)
result.append([nums1[i], nums2[j]])
# Add next pair from nums2 if available
if j + 1 < len(nums2):
heapq.heappush(heap, (nums1[i] + nums2[j + 1], i, j + 1))
return result