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package stats_test
import (
"testing"
"github.com/montanaflynn/stats"
)
// Create working sample data to test if the legacy
// functions cause a runtime crash or return an error
func TestLegacy(t *testing.T) {
// Slice of data
s := []float64{-10, -10.001, 5, 1.1, 2, 3, 4.20, 5}
// Slice of coordinates
d := []stats.Coordinate{
{1, 2.3},
{2, 3.3},
{3, 3.7},
{4, 4.3},
{5, 5.3},
}
// VarP rename compatibility
_, err := stats.VarP(s)
if err != nil {
t.Errorf("VarP not successfully returning PopulationVariance.")
}
// VarS rename compatibility
_, err = stats.VarS(s)
if err != nil {
t.Errorf("VarS not successfully returning SampleVariance.")
}
// StdDevP rename compatibility
_, err = stats.StdDevP(s)
if err != nil {
t.Errorf("StdDevP not successfully returning StandardDeviationPopulation.")
}
// StdDevS rename compatibility
_, err = stats.StdDevS(s)
if err != nil {
t.Errorf("StdDevS not successfully returning StandardDeviationSample.")
}
// LinReg rename compatibility
_, err = stats.LinReg(d)
if err != nil {
t.Errorf("LinReg not successfully returning LinearRegression.")
}
// ExpReg rename compatibility
_, err = stats.ExpReg(d)
if err != nil {
t.Errorf("ExpReg not successfully returning ExponentialRegression.")
}
// LogReg rename compatibility
_, err = stats.LogReg(d)
if err != nil {
t.Errorf("LogReg not successfully returning LogarithmicRegression.")
}
}
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