LeetCode 0454. 4Sum II Solution in Java, Python, C++, JavaScript, Go & Rust | Explanation + Code

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0454. 4Sum II

Description

Given four integer arrays nums1, nums2, nums3, and nums4 all of length n, return the number of tuples (i, j, k, l) such that:

  • 0 <= i, j, k, l < n
  • nums1[i] + nums2[j] + nums3[k] + nums4[l] == 0

 

Example 1:

Input: nums1 = [1,2], nums2 = [-2,-1], nums3 = [-1,2], nums4 = [0,2]
Output: 2
Explanation:
The two tuples are:
1. (0, 0, 0, 1) -> nums1[0] + nums2[0] + nums3[0] + nums4[1] = 1 + (-2) + (-1) + 2 = 0
2. (1, 1, 0, 0) -> nums1[1] + nums2[1] + nums3[0] + nums4[0] = 2 + (-1) + (-1) + 0 = 0

Example 2:

Input: nums1 = [0], nums2 = [0], nums3 = [0], nums4 = [0]
Output: 1

 

Constraints:

  • n == nums1.length
  • n == nums2.length
  • n == nums3.length
  • n == nums4.length
  • 1 <= n <= 200
  • -228 <= nums1[i], nums2[i], nums3[i], nums4[i] <= 228

Solutions

Solution 1: Hash Table

We can add the elements a and b in arrays nums1 and nums2 respectively, and store all possible sums in a hash table cnt, where the key is the sum of the two numbers, and the value is the count of the sum.

Then we iterate through the elements c and d in arrays nums3 and nums4, let c+d be the target value, then the answer is the cumulative sum of cnt[-(c+d)].

The time complexity is O(n^2), and the space complexity is O(n^2), where n is the length of the array.

PythonJavaC++GoTypeScriptRust
class Solution: def fourSumCount( self, nums1: List[int], nums2: List[int], nums3: List[int], nums4: List[int] ) -> int: cnt = Counter(a + b for a in nums1 for b in nums2) return sum(cnt[-(c + d)] for c in nums3 for d in nums4)(code-box)

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