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| 1 | +class KClosestPointstoOriginKotlin973 { |
| 2 | + fun kClosest(points: Array<IntArray>, K: Int): Array<IntArray> { |
| 3 | + var start = 0 |
| 4 | + var end = points.size - 1 |
| 5 | + while (start < end) { |
| 6 | + val flag = quickSort(points, start, end) |
| 7 | + when { |
| 8 | + flag == K -> return points.copyOfRange(0, K) |
| 9 | + flag < K -> start = flag |
| 10 | + flag > K -> end = flag |
| 11 | + } |
| 12 | + } |
| 13 | + return points.copyOfRange(0, K) |
| 14 | + } |
| 15 | + |
| 16 | + private fun quickSort(nums: Array<IntArray>, start: Int, end: Int): Int { |
| 17 | + // val pivot = nums[start + (end - start).shr(1)] |
| 18 | + val pivot = nums[start] |
| 19 | + var left = start |
| 20 | + var right = end |
| 21 | + while (left <= right) { |
| 22 | + while (left <= right && compare(pivot, nums[left]) > 0) { |
| 23 | + ++left |
| 24 | + } |
| 25 | + while (left <= right && compare(pivot, nums[right]) < 0) { |
| 26 | + --right |
| 27 | + } |
| 28 | + if (left <= right) { |
| 29 | + val temp = nums[left] |
| 30 | + nums[left] = nums[right] |
| 31 | + nums[right] = temp |
| 32 | + ++left |
| 33 | + --right |
| 34 | + } |
| 35 | + } |
| 36 | + return left |
| 37 | + } |
| 38 | + |
| 39 | + private fun compare(point1: IntArray, point2: IntArray): Int { |
| 40 | + return compareValues( |
| 41 | + point1[0] * point1[0] + point1[1] * point1[1], |
| 42 | + point2[0] * point2[0] + point2[1] * point2[1] |
| 43 | + ) |
| 44 | + } |
| 45 | + |
| 46 | + /* |
| 47 | + fun kClosest(points: Array<IntArray>, K: Int): Array<IntArray> { |
| 48 | + val priorityQueue: PriorityQueue<IntArray> = PriorityQueue(K, Comparator { point1, point2 -> |
| 49 | + compareValues( |
| 50 | + point2[0] * point2[0] + point2[1] * point2[1], |
| 51 | + point1[0] * point1[0] + point1[1] * point1[1] |
| 52 | + ) |
| 53 | + }) |
| 54 | + points.forEach { |
| 55 | + priorityQueue.offer(it) |
| 56 | + if (priorityQueue.size - K > 0) { |
| 57 | + priorityQueue.poll() |
| 58 | + } |
| 59 | + } |
| 60 | + return priorityQueue.toTypedArray() |
| 61 | + } |
| 62 | + */ |
| 63 | + |
| 64 | + /* |
| 65 | + fun kClosest(points: Array<IntArray>, K: Int): Array<IntArray> { |
| 66 | + points.sortWith(Comparator { point1, point2 -> |
| 67 | + compareValues( |
| 68 | + point1[0] * point1[0] + point1[1] * point1[1], |
| 69 | + point2[0] * point2[0] + point2[1] * point2[1] |
| 70 | + ) |
| 71 | + }) |
| 72 | + return points.copyOfRange(0, K) |
| 73 | + } |
| 74 | + */ |
| 75 | +} |
| 76 | + |
| 77 | +fun main() { |
| 78 | + val solution = KClosestPointstoOriginKotlin973() |
| 79 | + |
| 80 | + println("=======10 7=========") |
| 81 | + solution.kClosest( |
| 82 | + arrayOf( |
| 83 | + intArrayOf(-2, 10), |
| 84 | + intArrayOf(-4, -8), |
| 85 | + intArrayOf(10, 7), |
| 86 | + intArrayOf(-4, -7) |
| 87 | + ), 3 |
| 88 | + ).forEach { |
| 89 | + it.forEach { n -> print("$n ") } |
| 90 | + println() |
| 91 | + } |
| 92 | + |
| 93 | + solution.kClosest(arrayOf(intArrayOf(0, 1), intArrayOf(1, 0)), 2).forEach { |
| 94 | + it.forEach { n -> print("$n ") } |
| 95 | + println() |
| 96 | + } |
| 97 | + |
| 98 | + println("=========3 3 -2 4=======") |
| 99 | + solution.kClosest(arrayOf(intArrayOf(3, 3), intArrayOf(5, -1), intArrayOf(-2, 4)), 2).forEach { |
| 100 | + it.forEach { n -> print("$n ") } |
| 101 | + println() |
| 102 | + } |
| 103 | + |
| 104 | + println("=========-2,2=======") |
| 105 | + solution.kClosest(arrayOf(intArrayOf(1, 3), intArrayOf(-2, 2)), 1).forEach { |
| 106 | + it.forEach { n -> print("$n ") } |
| 107 | + println() |
| 108 | + } |
| 109 | + |
| 110 | + println("=========1,1=======") |
| 111 | + solution.kClosest( |
| 112 | + arrayOf( |
| 113 | + intArrayOf(2, 2), |
| 114 | + intArrayOf(2, 2), |
| 115 | + intArrayOf(2, 2), |
| 116 | + intArrayOf(2, 2), |
| 117 | + intArrayOf(2, 2), |
| 118 | + intArrayOf(2, 2), |
| 119 | + intArrayOf(1, 1) |
| 120 | + ), |
| 121 | + 1 |
| 122 | + ).forEach { |
| 123 | + it.forEach { n -> print("$n ") } |
| 124 | + println() |
| 125 | + } |
| 126 | +} |
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