How to use TestRemoveOutliers method of stats Package

Best Syzkaller code snippet using stats.TestRemoveOutliers

sample_test.go

Source:sample_test.go Github

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...30 test.input, median, test.minMedian, test.maxMedian)31 }32 }33}34func TestRemoveOutliers(t *testing.T) {35 // Some tests just to check the overall sanity of the method.36 tests := []struct {37 input []float6438 output []float6439 }{40 {41 input: []float64{-20, 1, 2, 3, 4, 5},42 output: []float64{1, 2, 3, 4, 5},43 },44 {45 input: []float64{1, 2, 3, 4, 25},46 output: []float64{1, 2, 3, 4},47 },48 {...

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TestRemoveOutliers

Using AI Code Generation

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1import (2func main() {3 rand.Seed(time.Now().UnixNano())4 data := make([]float64, 0)5 for i := 0; i < 100; i++ {6 data = append(data, rand.Float64()*100)7 }8 fmt.Println(data)9 data = stats.RemoveOutliers(data, 5)10 fmt.Println(data)11}

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TestRemoveOutliers

Using AI Code Generation

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1import (2func main() {3 rand.Seed(time.Now().Unix())4 s := make([]float64, 100)5 for i := range s {6 s[i] = 100 * rand.Float64()7 }8 fmt.Println("Before removing outliers:")9 fmt.Println(s)10 s = stats.RemoveOutliers(s, 0.05)11 fmt.Println("After removing outliers:")12 fmt.Println(s)13}

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TestRemoveOutliers

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1import (2func main() {3 floats := []float64{1, 2, 3, 4, 5, 6, 7, 8, 9}4 cleaned, err := stats.RemoveOutliers(floats, 1.5)5 if err != nil {6 fmt.Println(err)7 }8 fmt.Println(cleaned)9}

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TestRemoveOutliers

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1import (2func main() {3 rand.Seed(time.Now().UnixNano())4 for i := 0; i < 100; i++ {5 data = append(data, rand.Float64()*100)6 }7 fmt.Println(data)8 fmt.Println(stats.RemoveOutliers(data, 2))9}

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TestRemoveOutliers

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1import (2func main() {3 rand.Seed(time.Now().Unix())4 nums := make([]float64, 100)5 for i := range nums {6 nums[i] = rand.NormFloat64() * 57 }8 fmt.Println("Original slice:")9 fmt.Println(nums)10 stats.RemoveOutliers(nums, 2.0)11 fmt.Println("Slice after removing outliers:")12 fmt.Println(nums)13}

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TestRemoveOutliers

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1import (2func main() {3 for i := 0; i < 1000000; i++ {4 data = append(data, rand.Float64()*1000)5 }6 data = stats.TestRemoveOutliers(data, 3)7 fmt.Println(len(data))8 for i := 0; i < 50; i++ {9 fmt.Println(data[i])10 }11}12type stats struct {13}14func (s stats) TestRemoveOutliers(data []float64, iterations int) []float64 {

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TestRemoveOutliers

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1import (2func main() {3 rand.Seed(time.Now().UnixNano())4 for i := 0; i < 10; i++ {5 data = append(data, rand.Float64()*100)6 }7 fmt.Println("Original data: ", data)8 fmt.Println("Data after removing outliers: ", stats.TestRemoveOutliers(data))9}

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