Description
Given an array of integers arr.
We want to select three indices i, j and k where (0 <= i < j <= k < arr.length).
Let's define a and b as follows:
a = arr[i] ^ arr[i + 1] ^ ... ^ arr[j - 1]b = arr[j] ^ arr[j + 1] ^ ... ^ arr[k]
Note that ^ denotes the bitwise-xor operation.
Return the number of triplets (i, j and k) Where a == b.
Example 1:
Input: arr = [2,3,1,6,7] Output: 4 Explanation: The triplets are (0,1,2), (0,2,2), (2,3,4) and (2,4,4)
Example 2:
Input: arr = [1,1,1,1,1] Output: 10
Constraints:
1 <= arr.length <= 3001 <= arr[i] <= 108
Solutions
Solution 1: Enumeration
According to the problem description, to find triplets (i, j, k) that satisfy a = b, which means s = a \oplus b = 0, we only need to enumerate the left endpoint i, and then calculate the prefix XOR sum s of the interval [i, k] with k as the right endpoint. If s = 0, then for any j ∈ [i + 1, k], the condition a = b is satisfied, meaning (i, j, k) is a valid triplet. There are k - i such triplets, which we can add to our answer.
After the enumeration is complete, we return the answer.
The time complexity is O(n2), where n is the length of the array arr. The space complexity is O(1).
class Solution: def countTriplets(self, arr: List[int]) -> int: ans, n = 0, len(arr) for i, x in enumerate(arr): s = x for k in range(i + 1, n): s ^= arr[k] if s == 0: ans += k - i return ans(code-box)
