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1584.min-cost-to-connect-all-points.kt
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import java.util.*
import kotlin.math.abs
//You are given an array points representing integer coordinates of some points
//on a 2D-plane, where points[i] = [xi, yi].
//
// The cost of connecting two points [xi, yi] and [xj, yj] is the manhattan dist
//ance between them: |xi - xj| + |yi - yj|, where |val| denotes the absolute value
// of val.
//
// Return the minimum cost to make all points connected. All points are connecte
//d if there is exactly one simple path between any two points.
//
//
// Example 1:
//
//
//
//
//Input: points = [[0,0],[2,2],[3,10],[5,2],[7,0]]
//Output: 20
//Explanation:
//
//We can connect the points as shown above to get the minimum cost of 20.
//Notice that there is a unique path between every pair of points.
//
//
// Example 2:
//
//
//Input: points = [[3,12],[-2,5],[-4,1]]
//Output: 18
//
//
// Example 3:
//
//
//Input: points = [[0,0],[1,1],[1,0],[-1,1]]
//Output: 4
//
//
// Example 4:
//
//
//Input: points = [[-1000000,-1000000],[1000000,1000000]]
//Output: 4000000
//
//
// Example 5:
//
//
//Input: points = [[0,0]]
//Output: 0
//
//
//
// Constraints:
//
//
// 1 <= points.length <= 1000
// -106 <= xi, yi <= 106
// All pairs (xi, yi) are distinct.
//
// Related Topics Union Find
// 👍 199 👎 20
//leetcode submit region begin(Prohibit modification and deletion)
class Solution {
data class Node(var u: Int, var v: Int, var w: Int)
companion object {
val p = IntArray(1005)
fun find(x: Int): Int {
if (x != p[x]) p[x] = find(p[x])
return p[x]
}
}
fun minCostConnectPoints(points: Array<IntArray>): Int {
val n = points.size
val q = PriorityQueue<Node> { x, y -> x.w - y.w }
for (i in 0 until n) {
for (j in i+1 until n) {
q.add(Node(i, j, Math.abs(points[i][0]-points[j][0]) +Math.abs(points[i][1]-points[j][1])))
}
}
for (i in 0 until n) p[i] = i
var res = 0
while(!q.isEmpty()) {
val (x, y, w) = q.poll()
val u = find(x)
val v = find(y)
if (u != v) {
res += w
p[u] = v
}
}
return res
}
}
//leetcode submit region end(Prohibit modification and deletion)