Welcome to Subscribe On Youtube
1828. Queries on Number of Points Inside a Circle
Description
You are given an array points
where points[i] = [xi, yi]
is the coordinates of the ith
point on a 2D plane. Multiple points can have the same coordinates.
You are also given an array queries
where queries[j] = [xj, yj, rj]
describes a circle centered at (xj, yj)
with a radius of rj
.
For each query queries[j]
, compute the number of points inside the jth
circle. Points on the border of the circle are considered inside.
Return an array answer
, where answer[j]
is the answer to the jth
query.
Example 1:
Input: points = [[1,3],[3,3],[5,3],[2,2]], queries = [[2,3,1],[4,3,1],[1,1,2]] Output: [3,2,2] Explanation: The points and circles are shown above. queries[0] is the green circle, queries[1] is the red circle, and queries[2] is the blue circle.
Example 2:
Input: points = [[1,1],[2,2],[3,3],[4,4],[5,5]], queries = [[1,2,2],[2,2,2],[4,3,2],[4,3,3]] Output: [2,3,2,4] Explanation: The points and circles are shown above. queries[0] is green, queries[1] is red, queries[2] is blue, and queries[3] is purple.
Constraints:
1 <= points.length <= 500
points[i].length == 2
0 <= xi, yi <= 500
1 <= queries.length <= 500
queries[j].length == 3
0 <= xj, yj <= 500
1 <= rj <= 500
- All coordinates are integers.
Follow up: Could you find the answer for each query in better complexity than O(n)
?
Solutions
Solution 1: Enumeration
Enumerate all the circles $(x, y, r)$. For each circle, calculate the number of points within the circle to get the answer.
The time complexity is $O(m \times n)$, where $m$ and $n$ are the lengths of the arrays queries
and points
respectively. Ignoring the space consumption of the answer, the space complexity is $O(1)$.
-
class Solution { public int[] countPoints(int[][] points, int[][] queries) { int m = queries.length; int[] ans = new int[m]; for (int k = 0; k < m; ++k) { int x = queries[k][0], y = queries[k][1], r = queries[k][2]; for (var p : points) { int i = p[0], j = p[1]; int dx = i - x, dy = j - y; if (dx * dx + dy * dy <= r * r) { ++ans[k]; } } } return ans; } }
-
class Solution { public: vector<int> countPoints(vector<vector<int>>& points, vector<vector<int>>& queries) { vector<int> ans; for (auto& q : queries) { int x = q[0], y = q[1], r = q[2]; int cnt = 0; for (auto& p : points) { int i = p[0], j = p[1]; int dx = i - x, dy = j - y; cnt += dx * dx + dy * dy <= r * r; } ans.emplace_back(cnt); } return ans; } };
-
class Solution: def countPoints( self, points: List[List[int]], queries: List[List[int]] ) -> List[int]: ans = [] for x, y, r in queries: cnt = 0 for i, j in points: dx, dy = i - x, j - y cnt += dx * dx + dy * dy <= r * r ans.append(cnt) return ans
-
func countPoints(points [][]int, queries [][]int) (ans []int) { for _, q := range queries { x, y, r := q[0], q[1], q[2] cnt := 0 for _, p := range points { i, j := p[0], p[1] dx, dy := i-x, j-y if dx*dx+dy*dy <= r*r { cnt++ } } ans = append(ans, cnt) } return }
-
function countPoints(points: number[][], queries: number[][]): number[] { return queries.map(([cx, cy, r]) => { let res = 0; for (const [px, py] of points) { if (Math.sqrt((cx - px) ** 2 + (cy - py) ** 2) <= r) { res++; } } return res; }); }
-
impl Solution { pub fn count_points(points: Vec<Vec<i32>>, queries: Vec<Vec<i32>>) -> Vec<i32> { queries .iter() .map(|v| { let cx = v[0]; let cy = v[1]; let r = v[2].pow(2); let mut count = 0; for p in points.iter() { if (p[0] - cx).pow(2) + (p[1] - cy).pow(2) <= r { count += 1; } } count }) .collect() } }