You are given an array of network towers towers
, where towers[i] = [xi, yi, qi]
denotes the ith
network tower with location (xi, yi)
and quality factor qi
. All the coordinates are integral coordinates on the X-Y plane, and the distance between the two coordinates is the Euclidean distance.
You are also given an integer radius
where a tower is reachable if the distance is less than or equal to radius
. Outside that distance, the signal becomes garbled, and the tower is not reachable.
The signal quality of the ith
tower at a coordinate (x, y)
is calculated with the formula ⌊qi / (1 + d)⌋
, where d
is the distance between the tower and the coordinate. The network quality at a coordinate is the sum of the signal qualities from all the reachable towers.
Return the array [cx, cy]
representing the integral coordinate (cx, cy)
where the network quality is maximum. If there are multiple coordinates with the same network quality, return the lexicographically minimum non-negative coordinate.
Note:
- A coordinate
(x1, y1)
is lexicographically smaller than(x2, y2)
if either:x1 < x2
, orx1 == x2
andy1 < y2
.
⌊val⌋
is the greatest integer less than or equal toval
(the floor function).
Input: towers = [[1,2,5],[2,1,7],[3,1,9]], radius = 2 Output: [2,1] Explanation: At coordinate (2, 1) the total quality is 13. - Quality of 7 from (2, 1) results in ⌊7 / (1 + sqrt(0)⌋ = ⌊7⌋ = 7 - Quality of 5 from (1, 2) results in ⌊5 / (1 + sqrt(2)⌋ = ⌊2.07⌋ = 2 - Quality of 9 from (3, 1) results in ⌊9 / (1 + sqrt(1)⌋ = ⌊4.5⌋ = 4 No other coordinate has a higher network quality.
Input: towers = [[23,11,21]], radius = 9 Output: [23,11] Explanation: Since there is only one tower, the network quality is highest right at the tower's location.
Input: towers = [[1,2,13],[2,1,7],[0,1,9]], radius = 2 Output: [1,2] Explanation: Coordinate (1, 2) has the highest network quality.
1 <= towers.length <= 50
towers[i].length == 3
0 <= xi, yi, qi <= 50
1 <= radius <= 50
impl Solution {
pub fn best_coordinate(towers: Vec<Vec<i32>>, radius: i32) -> Vec<i32> {
let min_x = towers.iter().map(|t| t[0]).min().unwrap();
let min_y = towers.iter().map(|t| t[1]).min().unwrap();
let max_x = towers.iter().map(|t| t[0]).max().unwrap();
let max_y = towers.iter().map(|t| t[1]).max().unwrap();
let mut max_q = 0;
let mut ret = vec![0, 0];
for x in min_x..=max_x {
for y in min_y..=max_y {
let mut q = 0;
for t in &towers {
let d = (((t[0] - x).pow(2) + (t[1] - y).pow(2)) as f64).sqrt();
if d <= radius as f64 {
q += (t[2] as f64 / (1.0 + d)) as i32;
}
}
if q > max_q {
max_q = q;
ret = vec![x, y];
}
}
}
ret
}
}