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sample_test.go
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sample_test.go
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package sample
import (
"fmt"
"math"
"testing"
)
const tolerance = 1e-3
func equals(a, b, tolerance float64) bool {
return math.Abs(a-b) < tolerance
}
func pairEquals(a, b [2]float64, tolerance float64) bool {
for i := 0; i < len(a); i++ {
if !equals(a[i], b[i], tolerance) {
return false
}
}
return true
}
func TestMean(t *testing.T) {
t.Parallel()
for _, test := range []struct {
input []float64
want float64
}{
{
input: []float64{12},
want: 12,
}, {
input: []float64{0},
want: 0,
}, {
input: []float64{-12},
want: -12,
}, {
input: []float64{-1, -1},
want: -1,
}, {
input: []float64{-1, 1},
want: 0,
}, {
input: []float64{1, 1},
want: 1,
}, {
input: []float64{1, 2, 3, 4, 5, 6},
want: 3.5,
}, {
input: []float64{0, 1, -1, 2, -2},
want: 0,
}, {
input: []float64{3.005, 3.005, 3.005, 3.005, 3.005, 3.005002, 3.004998},
want: 3.005,
},
} {
test := test
description := fmt.Sprint(test.input)
t.Run(description, func(t *testing.T) {
t.Parallel()
got, err := Mean(test.input)
if err != nil {
t.Fatal(err)
}
if !equals(got, test.want, tolerance) {
t.Errorf("wrong result: want %f, got %f", test.want, got)
}
})
}
}
func TestMeanError(t *testing.T) {
t.Parallel()
for _, test := range []struct {
description string
input []float64
want error
}{
{
description: "nil input",
input: nil,
want: ErrSampleTooSmall,
}, {
description: "empty input",
input: []float64{},
want: ErrSampleTooSmall,
},
} {
test := test
t.Run(test.description, func(t *testing.T) {
t.Parallel()
_, err := Mean(test.input)
if err == nil {
t.Fatalf("unexpected success")
}
if err != test.want {
t.Errorf("want %q, got %q", test.want, err)
}
})
}
}
func TestStandardDeviation(t *testing.T) {
t.Parallel()
for _, test := range []struct {
input []float64
want float64
}{
{input: []float64{1, 1}, want: 0},
{input: []float64{1, 2}, want: 0.707},
{input: []float64{1, 2, 3, 4, 5, 6}, want: 1.870},
{input: []float64{-2, -1, 0, 1, 2, 3}, want: 1.870},
} {
test := test
description := fmt.Sprint(test.input)
t.Run(description, func(t *testing.T) {
t.Parallel()
got, err := StandardDeviation(test.input)
if err != nil {
t.Fatal(err)
}
if !equals(got, test.want, tolerance) {
t.Errorf("want %f, got %f", test.want, got)
}
})
}
}
func TestStandardDeviationError(t *testing.T) {
t.Parallel()
for _, test := range []struct {
description string
input []float64
want error
}{
{
description: "nil input",
input: nil,
want: ErrSampleTooSmall,
}, {
description: "empty input",
input: []float64{},
want: ErrSampleTooSmall,
},
} {
test := test
t.Run(test.description, func(t *testing.T) {
t.Parallel()
_, err := StandardDeviation(test.input)
if err == nil {
t.Fatal("unexpected success")
}
if err != test.want {
t.Errorf("want %f, got %f", test.want, err)
}
})
}
}
func TestStandardError(t *testing.T) {
t.Parallel()
for _, test := range []struct {
input []float64
want float64
}{
{
input: []float64{1.0, 1.0},
want: 0.0,
}, {
input: []float64{1.0, 2.0},
want: 0.5,
}, {
input: []float64{1.0, 2, 3, 4, 5, 6},
want: 0.763,
}, {
input: []float64{-2.0, -1, 0, 1, 2, 3},
want: 0.763,
},
} {
test := test
description := fmt.Sprint(test.input)
t.Run(description, func(t *testing.T) {
t.Parallel()
got, err := StandardError(test.input)
if err != nil {
t.Fatal(err)
}
if !equals(got, test.want, tolerance) {
t.Errorf("want %f, got %f", test.want, got)
}
})
}
}
func TestStandardErrorError(t *testing.T) {
t.Parallel()
for _, test := range []struct {
description string
input []float64
want error
}{
{
description: "nil input",
input: nil,
want: ErrSampleTooSmall,
}, {
description: "empty input",
input: []float64{},
want: ErrSampleTooSmall,
},
} {
test := test
t.Run(test.description, func(t *testing.T) {
t.Parallel()
_, err := StandardError(test.input)
if err == nil {
t.Errorf("unexpected success")
}
if err != test.want {
t.Errorf("want %q, got %q", test.want, err)
}
})
}
}
func TestMeanConfidenceIntervals(t *testing.T) {
t.Parallel()
for _, test := range []struct {
data []float64
confidence float64
want [2]float64
}{
{
data: []float64{1.0, 3.0},
confidence: 0.5,
want: [2]float64{1.0, 3.0},
},
{
data: []float64{1.0, 3.0},
confidence: 0.90,
want: [2]float64{-4.3138, 8.3138},
}, {
data: []float64{1.0, 3.0},
confidence: 0.95,
want: [2]float64{-10.71, 14.71},
}, {
data: []float64{1.0, 3.0},
confidence: 0.99,
want: [2]float64{-61.66, 65.66},
}, {
data: []float64{2.0, 3, 5, 6, 9},
confidence: 0.50,
want: [2]float64{4.0928, 5.9072},
}, {
data: []float64{2.0, 3, 5, 6, 9},
confidence: 0.90,
want: [2]float64{2.3890, 7.6110},
}, {
data: []float64{2.0, 3, 5, 6, 9},
confidence: 0.95,
want: [2]float64{1.5996, 8.4004},
}, {
data: []float64{2.0, 3, 5, 6, 9},
confidence: 0.99,
want: [2]float64{-0.63884, 10.63884},
}, {
data: []float64{-1.164837, -0.603101, -1.122721, -0.716435, 0.049454, 0.097798, 0.396846, -1.558289, -0.231544, -0.171306},
confidence: 0.50,
want: [2]float64{-0.64395, -0.36088},
}, {
data: []float64{-1.164837, -0.603101, -1.122721, -0.716435, 0.049454, 0.097798, 0.396846, -1.558289, -0.231544, -0.171306},
confidence: 0.90,
want: [2]float64{-0.87162, -0.13321},
}, {
data: []float64{-1.164837, -0.603101, -1.122721, -0.716435, 0.049454, 0.097798, 0.396846, -1.558289, -0.231544, -0.171306},
confidence: 0.95,
want: [2]float64{-0.958031, -0.046796},
}, {
data: []float64{-1.164837, -0.603101, -1.122721, -0.716435, 0.049454, 0.097798, 0.396846, -1.558289, -0.231544, -0.171306},
confidence: 0.99,
want: [2]float64{-1.15696, 0.15213},
},
} {
test := test
description := fmt.Sprintf("%v, %v", test.data, test.confidence)
t.Run(description, func(t *testing.T) {
t.Parallel()
got, err := MeanConfidenceIntervals(test.data, test.confidence)
if err != nil {
t.Fatal(err)
}
if !pairEquals(got, test.want, tolerance) {
t.Errorf("want %f, got %f", test.want, got)
}
})
}
}
func TestMeanConfidenceIntervalsErrors(t *testing.T) {
t.Parallel()
for _, test := range []struct {
data []float64
confidence float64
want error
}{
{
data: []float64{1.0},
confidence: 0.99,
want: ErrSampleTooSmall,
}, {
data: []float64{1.0, 3.0},
confidence: 0.0,
want: ErrInvalidConfidence,
}, {
data: []float64{1.0, 3.0},
confidence: 1.0,
want: ErrInvalidConfidence,
}, {
data: []float64{1.0, 3.0},
confidence: -1.0,
want: ErrInvalidConfidence,
}, {
data: []float64{1.0, 3.0},
confidence: 2.0,
want: ErrInvalidConfidence,
},
} {
test := test
description := fmt.Sprintf("%v, %v", test.data, test.confidence)
t.Run(description, func(t *testing.T) {
_, err := MeanConfidenceIntervals(test.data, test.confidence)
if err == nil {
t.Fatal("unexpected success")
}
if err != test.want {
t.Errorf("want %q, got %q", test.want, err)
}
})
}
}