Medium
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
Follow up: Could you find the answer for each query in better complexity than O(n)
?
class Solution {
fun countPoints(points: Array<IntArray>, queries: Array<IntArray>): IntArray {
val result = IntArray(queries.size)
for ((i, query) in queries.withIndex()) {
var pts = 0
for (point in points) {
if ((point[0] - query[0]) * (point[0] - query[0]) +
(point[1] - query[1]) * (point[1] - query[1])
<= query[2] * query[2]
) {
pts++
}
}
result[i] = pts
}
return result
}
}