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package stats_test
import (
"fmt"
"reflect"
"testing"
"github.com/montanaflynn/stats"
)
func ExampleCumulativeSum() {
data := []float64{1.0, 2.1, 3.2, 4.823, 4.1, 5.8}
csum, _ := stats.CumulativeSum(data)
fmt.Println(csum)
// Output: [1 3.1 6.300000000000001 11.123000000000001 15.223 21.023]
}
func TestCumulativeSum(t *testing.T) {
for _, c := range []struct {
in []float64
out []float64
}{
{[]float64{1, 2, 3}, []float64{1, 3, 6}},
{[]float64{1.0, 1.1, 1.2, 2.2}, []float64{1.0, 2.1, 3.3, 5.5}},
{[]float64{-1, -1, 2, -3}, []float64{-1, -2, 0, -3}},
} {
got, err := stats.CumulativeSum(c.in)
if err != nil {
t.Errorf("Returned an error")
}
if !reflect.DeepEqual(c.out, got) {
t.Errorf("CumulativeSum(%.1f) => %.1f != %.1f", c.in, got, c.out)
}
}
_, err := stats.CumulativeSum([]float64{})
if err == nil {
t.Errorf("Empty slice should have returned an error")
}
}
func BenchmarkCumulativeSumSmallFloatSlice(b *testing.B) {
for i := 0; i < b.N; i++ {
_, _ = stats.CumulativeSum(makeFloatSlice(5))
}
}
func BenchmarkCumulativeSumLargeFloatSlice(b *testing.B) {
lf := makeFloatSlice(100000)
b.ResetTimer()
for i := 0; i < b.N; i++ {
_, _ = stats.CumulativeSum(lf)
}
}
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