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package stats_test
import (
"fmt"
"math"
"testing"
"github.com/montanaflynn/stats"
)
func ExampleProbGeom() {
p := 0.5
a := 1
b := 2
chance, _ := stats.ProbGeom(a, b, p)
fmt.Println(chance)
// Output: 0.25
}
func TestProbGeomLarge(t *testing.T) {
p := 0.5
a := 1
b := 10000
chance, err := stats.ProbGeom(a, b, p)
if err != nil {
t.Errorf("Returned an error")
}
if chance != 0.5 {
t.Errorf("ProbGeom(%d, %d, %.01f) => %.1f != %.1f", a, b, p, chance, 0.5)
}
}
func TestErrBoundsProbGeom(t *testing.T) {
p := 0.5
a := -1
b := 4
chance, err := stats.ProbGeom(a, b, p)
if err == nil {
t.Errorf("Did not return an error when expected")
}
if !math.IsNaN(chance) {
t.Errorf("ProbGeom(%d, %d, %.01f) => %.1f != %.1f", a, b, p, chance, math.NaN())
}
}
func ExampleExpGeom() {
p := 0.5
exp, _ := stats.ExpGeom(p)
fmt.Println(exp)
// Output: 2
}
func TestExpGeom(t *testing.T) {
p := 0.5
exp, err := stats.ExpGeom(p)
if err != nil {
t.Errorf("Returned an error when not expected")
}
if exp != 2.0 {
t.Errorf("ExpGeom(%.01f) => %.1f != %.1f", p, exp, 2.0)
}
}
func TestErrExpGeom(t *testing.T) {
p := -1.0
exp, err := stats.ExpGeom(p)
if err == nil {
t.Errorf("Did not return an error")
}
if !math.IsNaN(exp) {
t.Errorf("ExpGeom(%.01f) => %.1f != %.1f", p, exp, math.NaN())
}
}
func ExampleVarGeom() {
p := 0.5
vari, _ := stats.VarGeom(p)
fmt.Println(vari)
// Output: 2
}
func TestVarGeom(t *testing.T) {
p := 0.25
vari, err := stats.VarGeom(p)
if err != nil {
t.Errorf("Returned an error when not expected")
}
if vari != 12.0 {
t.Errorf("VarGeom(%.01f) => %.1f != %.1f", p, vari, 12.0)
}
}
func TestErrVarGeom(t *testing.T) {
p := -1.0
vari, err := stats.VarGeom(p)
if err == nil {
t.Errorf("Did not return an error")
}
if !math.IsNaN(vari) {
t.Errorf("VarGeom(%.01f) => %.1f != %.1f", p, vari, math.NaN())
}
}
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