Description
You are given a 2D integer array coordinates and an integer k, where coordinates[i] = [xi, yi] are the coordinates of the ith point in a 2D plane.
We define the distance between two points (x1, y1) and (x2, y2) as (x1 XOR x2) + (y1 XOR y2) where XOR is the bitwise XOR operation.
Return the number of pairs (i, j) such that i < j and the distance between points i and j is equal to k.
Example 1:
Input: coordinates = [[1,2],[4,2],[1,3],[5,2]], k = 5 Output: 2 Explanation: We can choose the following pairs: - (0,1): Because we have (1 XOR 4) + (2 XOR 2) = 5. - (2,3): Because we have (1 XOR 5) + (3 XOR 2) = 5.
Example 2:
Input: coordinates = [[1,3],[1,3],[1,3],[1,3],[1,3]], k = 0 Output: 10 Explanation: Any two chosen pairs will have a distance of 0. There are 10 ways to choose two pairs.
Constraints:
2 <= coordinates.length <= 500000 <= xi, yi <= 1060 <= k <= 100
Solutions
Solution 1: Hash Table + Enumeration
We can use a hash table cnt to count the occurrence of each point in the array coordinates.
Next, we enumerate each point (x2, y2) in the array coordinates. Since the range of k is [0, 100], and the result of x1 \oplus x2 or y1 \oplus y2 is always greater than or equal to 0, we can enumerate the result a of x1 \oplus x2 in the range [0,..k]. Then, the result of y1 \oplus y2 is b = k - a. In this way, we can calculate the values of x1 and y1, and add the occurrence of (x1, y1) to the answer.
The time complexity is O(n × k), and the space complexity is O(n). Here, n is the length of the array coordinates.
class Solution: def countPairs(self, coordinates: List[List[int]], k: int) -> int: cnt = Counter() ans = 0 for x2, y2 in coordinates: for a in range(k + 1): b = k - a x1, y1 = a ^ x2, b ^ y2 ans += cnt[(x1, y1)] cnt[(x2, y2)] += 1 return ans(code-box)
