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package stats_test
import (
"fmt"
"reflect"
"testing"
"github.com/montanaflynn/stats"
)
func ExampleSum() {
d := []float64{1.1, 2.2, 3.3}
a, _ := stats.Sum(d)
fmt.Println(a)
// Output: 6.6
}
func TestSum(t *testing.T) {
for _, c := range []struct {
in []float64
out float64
}{
{[]float64{1, 2, 3}, 6},
{[]float64{1.0, 1.1, 1.2, 2.2}, 5.5},
{[]float64{1, -1, 2, -3}, -1},
} {
got, err := stats.Sum(c.in)
if err != nil {
t.Errorf("Returned an error")
}
if !reflect.DeepEqual(c.out, got) {
t.Errorf("Sum(%.1f) => %.1f != %.1f", c.in, got, c.out)
}
}
_, err := stats.Sum([]float64{})
if err == nil {
t.Errorf("Empty slice should have returned an error")
}
}
func BenchmarkSumSmallFloatSlice(b *testing.B) {
for i := 0; i < b.N; i++ {
_, _ = stats.Sum(makeFloatSlice(5))
}
}
func BenchmarkSumLargeFloatSlice(b *testing.B) {
lf := makeFloatSlice(100000)
b.ResetTimer()
for i := 0; i < b.N; i++ {
_, _ = stats.Sum(lf)
}
}
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