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How to use TestRemoveOutliers method of stats Package

Best Syzkaller code snippet using stats.TestRemoveOutliers

sample_test.go

Source:sample_test.go

...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		{...

TestRemoveOutliers

Using AI Code Generation

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}

TestRemoveOutliers

Using AI Code Generation

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}

TestRemoveOutliers

Using AI Code Generation

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}

TestRemoveOutliers

Using AI Code Generation

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}

TestRemoveOutliers

Using AI Code Generation

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}

TestRemoveOutliers

Using AI Code Generation

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 {

TestRemoveOutliers

Using AI Code Generation

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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