func testScaling(t *testing.T, u Scaler, data *mat64.Dense, scaledData *mat64.Dense, name string) {
// Copy data
r, c := data.Dims()
origData := mat64.NewDense(r, c, nil)
for i := 0; i < r; i++ {
for j := 0; j < c; j++ {
origData.Set(i, j, data.At(i, j))
}
}
err := ScaleData(u, data)
if err != nil {
t.Errorf("Error found in ScaleData for case " + name + ": " + err.Error())
}
/*
for i := range data {
if !floats.EqualApprox(data[i], scaledData[i], 1e-14) {
t.Errorf("Improper scaling for case"+name+". Expected: %v, Found: %v", data[i], scaledData[i])
}
}
*/
if !data.EqualsApprox(scaledData, 1e-14) {
t.Errorf("Improper scaling for case"+name+". Expected: %v, Found: %v", scaledData, data)
}
err = UnscaleData(u, data)
if err != nil {
t.Errorf("Error found in UnscaleData for case " + name + ": " + err.Error())
}
if !data.EqualsApprox(origData, 1e-14) {
t.Errorf("Improper unscaling for case"+name+". Expected: %v, Found: %v", origData, data)
}
}
