Given a 0-indexed integer array nums, return the number of distinct quadruplets (a, b, c, d) such that:

• nums[a] + nums[b] + nums[c] == nums[d], and
• a < b < c < d

Example 1:

Input: nums = [1,2,3,6]
Output: 1
Explanation: The only quadruplet that satisfies the requirement is (0, 1, 2, 3) because 1 + 2 + 3 == 6.


Example 2:

Input: nums = [3,3,6,4,5]
Output: 0
Explanation: There are no such quadruplets in [3,3,6,4,5].


Example 3:

Input: nums = [1,1,1,3,5]
Output: 4
Explanation: The 4 quadruplets that satisfy the requirement are:
- (0, 1, 2, 3): 1 + 1 + 1 == 3
- (0, 1, 3, 4): 1 + 1 + 3 == 5
- (0, 2, 3, 4): 1 + 1 + 3 == 5
- (1, 2, 3, 4): 1 + 1 + 3 == 5


Constraints:

• 4 <= nums.length <= 50
• 1 <= nums[i] <= 100

## Solution 1: Brute force (224ms)

Enumerate a, b, c, d.

Time complexity: O(C(n, 4)) = O(n4/24)
Space complexity: O(1)

## Solution 2: Static frequency table + binary search (39ms)

For each element, we store its indices (sorted).

Given a, b, c, target t = nums[a] + nums[b] + nums[c], we check the hashtable and use binary search to find how many times it occurred after index c.

Time complexity: O(n3/6*logn)
Space complexity: O(n)

## Solution 3: Dynamic frequency table (29ms)

Similar to 花花酱 LeetCode 1. Two Sum, we dynamically add elements (from right to left) into the hashtable.

Time complexity: O(n3/6)
Space complexity: O(n)

## C++

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