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2857. Count Pairs of Points With Distance k

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 <= 50000
  • 0 <= xi, yi <= 106
  • 0 <= 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 $(x_2, y_2)$ in the array $coordinates$. Since the range of $k$ is $[0, 100]$, and the result of $x_1 \oplus x_2$ or $y_1 \oplus y_2$ is always greater than or equal to $0$, we can enumerate the result $a$ of $x_1 \oplus x_2$ in the range $[0,..k]$. Then, the result of $y_1 \oplus y_2$ is $b = k - a$. In this way, we can calculate the values of $x_1$ and $y_1$, and add the occurrence of $(x_1, y_1)$ to the answer.

The time complexity is $O(n \times k)$, and the space complexity is $O(n)$. Here, $n$ is the length of the array $coordinates$.

  • class Solution {
        public int countPairs(List<List<Integer>> coordinates, int k) {
            Map<List<Integer>, Integer> cnt = new HashMap<>();
            int ans = 0;
            for (var c : coordinates) {
                int x2 = c.get(0), y2 = c.get(1);
                for (int a = 0; a <= k; ++a) {
                    int b = k - a;
                    int x1 = a ^ x2, y1 = b ^ y2;
                    ans += cnt.getOrDefault(List.of(x1, y1), 0);
                }
                cnt.merge(c, 1, Integer::sum);
            }
            return ans;
        }
    }
    
  • class Solution {
    public:
        int countPairs(vector<vector<int>>& coordinates, int k) {
            map<pair<int, int>, int> cnt;
            int ans = 0;
            for (auto& c : coordinates) {
                int x2 = c[0], y2 = c[1];
                for (int a = 0; a <= k; ++a) {
                    int b = k - a;
                    int x1 = a ^ x2, y1 = b ^ y2;
                    ans += cnt[{x1, y1}];
                }
                ++cnt[{x2, y2}];
            }
            return ans;
        }
    };
    
  • 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
    
    
  • func countPairs(coordinates [][]int, k int) (ans int) {
    	cnt := map[[2]int]int{}
    	for _, c := range coordinates {
    		x2, y2 := c[0], c[1]
    		for a := 0; a <= k; a++ {
    			b := k - a
    			x1, y1 := a^x2, b^y2
    			ans += cnt[[2]int{x1, y1}]
    		}
    		cnt[[2]int{x2, y2}]++
    	}
    	return
    }
    
  • function countPairs(coordinates: number[][], k: number): number {
        const cnt: Map<number, number> = new Map();
        const f = (x: number, y: number): number => x * 1000000 + y;
        let ans = 0;
        for (const [x2, y2] of coordinates) {
            for (let a = 0; a <= k; ++a) {
                const b = k - a;
                const [x1, y1] = [a ^ x2, b ^ y2];
                ans += cnt.get(f(x1, y1)) ?? 0;
            }
            cnt.set(f(x2, y2), (cnt.get(f(x2, y2)) ?? 0) + 1);
        }
        return ans;
    }
    
    

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