How to use quickSelect method of cloud Package

Best K6 code snippet using cloud.quickSelect

data.go

Source:data.go Github

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...255// This could potentially be implemented as a standalone function256// that only depends on the sort.Interface methods, but that would257// probably introduce some performance overhead because of the258// dynamic dispatch.259func (d durations) quickSelect(k int) time.Duration { //nolint:gocognit260 n := len(d)261 l := 0262 ir := n - 1263 var i, j, mid int264 for {265 if ir <= l+1 {266 if ir == l+1 && d[ir] < d[l] {267 d.Swap(l, ir)268 }269 return d[k]270 }271 mid = (l + ir) >> 1272 d.Swap(mid, l+1)273 if d[l] > d[ir] {274 d.Swap(l, ir)275 }276 if d[l+1] > d[ir] {277 d.Swap(l+1, ir)278 }279 if d[l] > d[l+1] {280 d.Swap(l, l+1)281 }282 i = l + 1283 j = ir284 for {285 for i++; d[i] < d[l+1]; i++ {286 }287 for j--; d[j] > d[l+1]; j-- {288 }289 if j < i {290 break291 }292 d.Swap(i, j)293 }294 d.Swap(l+1, j)295 if j >= k {296 ir = j - 1297 }298 if j <= k {299 l = i300 }301 }302}303// Uses Quickselect to avoid sorting the whole slice304// https://en.wikipedia.org/wiki/Quickselect305func (d durations) SelectGetNormalBounds(radius, iqrLowerCoef, iqrUpperCoef float64) (min, max time.Duration) {306 if len(d) == 0 {307 return308 }309 radius = math.Min(0.5, radius)310 last := float64(len(d) - 1)311 q1 := d.quickSelect(int(math.Round(last * (0.5 - radius))))312 q3 := d.quickSelect(int(math.Round(last * (0.5 + radius))))313 iqr := float64(q3 - q1)314 min = q1 - time.Duration(iqrLowerCoef*iqr)315 max = q3 + time.Duration(iqrUpperCoef*iqr)316 return317}318//easyjson:json319type samples []*Sample...

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quickSelect

Using AI Code Generation

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1import (2func main() {3 slice := []int{1, 2, 3, 4, 5, 6, 7, 8, 9}4 fmt.Println(quickSelect(slice, 0, len(slice)-1, 6))5}6func quickSelect(slice []int, low, high, k int) int {7 if low <= high {8 pivotIndex := partition(slice, low, high)9 if pivotIndex == k {10 } else if pivotIndex > k {11 return quickSelect(slice, low, pivotIndex-1, k)12 } else {13 return quickSelect(slice, pivotIndex+1, high, k)14 }15 }16}17func partition(slice []int, low, high int) int {18 pivotIndex := low + rand.Intn(high-low+1)19 for {20 for {21 if slice[i] >= pivot {22 }23 }24 for {25 if slice[j] <= pivot {26 }27 }28 if i >= j {29 }30 }31}32Space Complexity: O(1)33Recommended Posts: Quick Sort | Set 2 (Randomized QuickSort)34Quick Sort | Set 3 (Dutch National Flag Problem)35Quick Sort | Set 1 (Partitioning)36Quick Sort | Set 4 (Hoare’s Partition Scheme)37Quick Sort | Set 5 (Randomized Quick Sort)38Quick Sort | Set 6 (Sorting a Doubly Linked List)39Quick Sort | Set 7 (Sorting a Stack using Quick Sort)40Quick Sort | Set 8 (Quick Sort for Singly Linked List)41Quick Sort | Set 9 (Quick Sort for Linked Lists where comparison is not allowed)42Quick Sort | Set 10 (Quick Sort for Linked Lists where comparison is allowed)43Quick Sort | Set 11 (Sorting a Stack using Quick Sort)

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quickSelect

Using AI Code Generation

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1import (2func main() {3 var arr = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}4 var result = quickSelect(arr, k)5 fmt.Println(result)6}7func quickSelect(arr []int, k int) int {8 var right = len(arr) - 19 for left <= right {10 var newPivot = partition(arr, left, right, pivot)11 if newPivot == k - 1 {12 } else if newPivot > k - 1 {13 } else {14 }15 }16}17func partition(arr []int, left int, right int, pivot int) int {18 swap(arr, pivot, right)19 for i := left; i < right; i++ {20 if arr[i] < pivotValue {21 swap(arr, i, storeIndex)22 }23 }24 swap(arr, right, storeIndex)25}26func swap(arr []int, i int, j int) {27}28import (29func main() {30 var arr = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}31 var result = quickSelect(arr, k)32 fmt.Println(result)33}34func quickSelect(arr []int, k int) int {35 var right = len(arr) - 136 for left <= right {37 var newPivot = partition(arr, left, right, pivot)38 if newPivot == k - 1 {39 } else if newP

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quickSelect

Using AI Code Generation

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1import (2func main() {3 var a []int = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}4 fmt.Println(a)5 sort.Ints(a)6 fmt.Println(a)7}8import (9func main() {10 var a []int = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}11 fmt.Println(a)12 sort.Ints(a)13 fmt.Println(a)14}15import (16func main() {17 var a []int = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}18 fmt.Println(a)19 sort.Ints(a)20 fmt.Println(a)21}22import (23func main() {24 var a []int = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}25 fmt.Println(a)26 sort.Ints(a)27 fmt.Println(a)28}

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quickSelect

Using AI Code Generation

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1import (2func main() {3 var arr = []int{7, 10, 4, 3, 20, 15}4 fmt.Println("kth smallest element is", findKthSmallest(arr, k))5}6func findKthSmallest(arr []int, k int) int {7 sort.Ints(arr)8}9import (10func main() {11 var arr = []int{7, 10, 4, 3, 20, 15}12 fmt.Println("kth smallest element is", findKthSmallest(arr, k))13}14func findKthSmallest(arr []int, k int) int {15 rand.Seed(time.Now().UnixNano())16 return quickSelect(arr, 0, len(arr)-1, k)17}18func quickSelect(arr []int, start, end, k int) int {19 if start > end {20 }21 pivot := partition(arr, start, end)22 if pivot == k-1 {23 } else if pivot > k-1 {24 return quickSelect(arr, start, pivot-1, k)25 } else {26 return quickSelect(arr, pivot+1, end, k)27 }28}29func partition(arr []int, start, end int) int {30 pivotIndex := start + rand.Intn(end-start+1)31 for j := start; j < end; j++ {32 if arr[j] < pivot {33 }34 }35}36import (37func main() {38 var arr = []int{7, 10, 4, 3, 20, 15}

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quickSelect

Using AI Code Generation

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1import (2func main() {3 arr := []int{1, 2, 3, 4, 5, 6, 7, 8, 9}4 fmt.Println("Initial Array is: ", arr)5 fmt.Println("The 3rd smallest element is: ", quickSelect(arr, 3))6 fmt.Println("The 5th smallest element is: ", quickSelect(arr, 5))7}8func quickSelect(arr []int, k int) int {9 sort.Ints(arr)10}11Find kth smallest element in an array | Set 2 (Expected Linear Time)12Find kth smallest element in an array | Set 3 (Worst Case Linear Time)13Find kth smallest element in an array | Set 4 (QuickSelect)14Find kth smallest element in an array | Set 5 (Sorting based method)15Find kth smallest element in an array | Set 6 (Max Heap based method)16Find kth smallest element in an array | Set 7 (Min Heap based method)17Find kth smallest element in an array | Set 8 (Using QuickSelect)18Find kth smallest element in an array | Set 9 (Using QuickSelect)19Find kth smallest element in an array | Set 10 (using Min Heap)20Find kth smallest element in an array | Set 11 (using Max Heap)21Find kth smallest element in an array | Set 12 (using Sorting)22Find kth smallest element in an array | Set 13 (using Sorting)23Find kth smallest element in an array | Set 14 (using Sorting)24Find kth smallest element in an array | Set 15 (using Sorting)25Find kth smallest element in an array | Set 16 (using Sorting)26Find kth smallest element in an array | Set 17 (using Sorting)27Find kth smallest element in an array | Set 18 (using Sorting)28Find kth smallest element in an array | Set 19 (using Sorting)

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quickSelect

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1import (2func main(){3 fmt.Scan(&n)4 fmt.Scan(&k)5 arr := make([]int, n)6 for i:=0; i<n; i++{7 fmt.Scan(&arr[i])8 }9 fmt.Println(quickSelect(arr, k))10}11func quickSelect(arr []int, k int) int{12 left := make([]int, 0)13 right := make([]int, 0)14 for i:=1; i<len(arr); i++{15 if arr[i] < pivot{16 left = append(left, arr[i])17 }else{18 right = append(right, arr[i])19 }20 }21 if len(left) == k-1{22 }else if len(left) >= k{23 return quickSelect(left, k)24 }else{25 return quickSelect(right, k-len(left)-1)26 }27}

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quickSelect

Using AI Code Generation

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1import (2type cloud struct {3}4func (c *cloud) quickSelect(arr []int, k int) int {5}6func main() {7}8import (9type cloud struct {10}11func (c *cloud) quickSort(arr []int) []int {12}13func main() {14}15import (16type cloud struct {17}18func (c *cloud) mergeSort(arr []int) []int {19}20func main() {21}22import (23type cloud struct {24}25func (c *cloud) heapSort(arr []int) []int {26}27func main() {28}29import (30type cloud struct {31}32func (c *cloud) insertionSort(arr []int) []int {33}34func main() {35}36import (37type cloud struct {38}39func (c *cloud) bubbleSort(arr []int) []int {40}41func main() {42}43import

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