use super::*;
#[test]
fn test_linear() {
let interp = InterpND::new(
vec![
array![0.05, 0.10, 0.15],
array![0.10, 0.20, 0.30],
array![0.20, 0.40, 0.60],
],
array![
[[0., 1., 2.], [3., 4., 5.], [6., 7., 8.]],
[[9., 10., 11.], [12., 13., 14.], [15., 16., 17.]],
[[18., 19., 20.], [21., 22., 23.], [24., 25., 26.]],
]
.into_dyn(),
strategy::Linear,
Extrapolate::Error,
)
.unwrap();
let x = &interp.data.grid[0];
let y = &interp.data.grid[1];
let z = &interp.data.grid[2];
for i in 0..x.len() {
for j in 0..y.len() {
for k in 0..z.len() {
assert_eq!(
interp.interpolate(&[x[i], y[j], z[k]]).unwrap(),
interp.data.values[[i, j, k]]
);
}
}
}
assert_approx_eq!(interp.interpolate(&[x[0], y[0], 0.3]).unwrap(), 0.5);
assert_approx_eq!(interp.interpolate(&[x[0], 0.15, z[0]]).unwrap(), 1.5);
assert_approx_eq!(interp.interpolate(&[x[0], 0.15, 0.3]).unwrap(), 2.0);
assert_approx_eq!(interp.interpolate(&[0.075, y[0], z[0]]).unwrap(), 4.5);
assert_approx_eq!(interp.interpolate(&[0.075, y[0], 0.3]).unwrap(), 5.);
assert_approx_eq!(interp.interpolate(&[0.075, 0.15, z[0]]).unwrap(), 6.);
}
#[test]
fn test_linear_offset() {
let interp = InterpND::new(
vec![array![0., 1.], array![0., 1.], array![0., 1.]],
array![[[0., 1.], [2., 3.]], [[4., 5.], [6., 7.]],].into_dyn(),
strategy::Linear,
Extrapolate::Error,
)
.unwrap();
assert_approx_eq!(interp.interpolate(&[0.25, 0.65, 0.9]).unwrap(), 3.2)
}
#[test]
fn test_linear_extrapolation_2d() {
let interp_2d = crate::interpolator::Interp2D::new(
array![0.05, 0.10, 0.15],
array![0.10, 0.20, 0.30],
array![[0., 1., 2.], [3., 4., 5.], [6., 7., 8.]],
strategy::Linear,
Extrapolate::Enable,
)
.unwrap();
let interp_nd = InterpND::new(
vec![array![0.05, 0.10, 0.15], array![0.10, 0.20, 0.30]],
array![[0., 1., 2.], [3., 4., 5.], [6., 7., 8.]].into_dyn(),
strategy::Linear,
Extrapolate::Enable,
)
.unwrap();
assert_eq!(
interp_2d.interpolate(&[0.0, 0.0]).unwrap(),
interp_nd.interpolate(&[0.0, 0.0]).unwrap()
);
assert_eq!(
interp_2d.interpolate(&[0.03, 0.04]).unwrap(),
interp_nd.interpolate(&[0.03, 0.04]).unwrap(),
);
assert_eq!(
interp_2d.interpolate(&[0.0, 0.32]).unwrap(),
interp_nd.interpolate(&[0.0, 0.32]).unwrap(),
);
assert_eq!(
interp_2d.interpolate(&[0.03, 0.36]).unwrap(),
interp_nd.interpolate(&[0.03, 0.36]).unwrap()
);
assert_eq!(
interp_2d.interpolate(&[0.17, 0.0]).unwrap(),
interp_nd.interpolate(&[0.17, 0.0]).unwrap(),
);
assert_eq!(
interp_2d.interpolate(&[0.19, 0.04]).unwrap(),
interp_nd.interpolate(&[0.19, 0.04]).unwrap(),
);
assert_eq!(
interp_2d.interpolate(&[0.17, 0.32]).unwrap(),
interp_nd.interpolate(&[0.17, 0.32]).unwrap()
);
assert_eq!(
interp_2d.interpolate(&[0.19, 0.36]).unwrap(),
interp_nd.interpolate(&[0.19, 0.36]).unwrap()
);
}
#[test]
fn test_linear_extrapolate_3d() {
let interp_3d = crate::interpolator::Interp3D::new(
array![0.05, 0.10, 0.15],
array![0.10, 0.20, 0.30],
array![0.20, 0.40, 0.60],
array![
[[0., 1., 2.], [3., 4., 5.], [6., 7., 8.]],
[[9., 10., 11.], [12., 13., 14.], [15., 16., 17.]],
[[18., 19., 20.], [21., 22., 23.], [24., 25., 26.],],
],
strategy::Linear,
Extrapolate::Enable,
)
.unwrap();
let interp_nd = InterpND::new(
vec![
array![0.05, 0.10, 0.15],
array![0.10, 0.20, 0.30],
array![0.20, 0.40, 0.60],
],
array![
[[0., 1., 2.], [3., 4., 5.], [6., 7., 8.]],
[[9., 10., 11.], [12., 13., 14.], [15., 16., 17.]],
[[18., 19., 20.], [21., 22., 23.], [24., 25., 26.]],
]
.into_dyn(),
strategy::Linear,
Extrapolate::Enable,
)
.unwrap();
assert_eq!(
interp_3d.interpolate(&[0.01, 0.06, 0.17]).unwrap(),
interp_nd.interpolate(&[0.01, 0.06, 0.17]).unwrap()
);
assert_eq!(
interp_3d.interpolate(&[0.02, 0.08, 0.19]).unwrap(),
interp_nd.interpolate(&[0.02, 0.08, 0.19]).unwrap()
);
assert_eq!(
interp_3d.interpolate(&[0.01, 0.06, 0.63]).unwrap(),
interp_nd.interpolate(&[0.01, 0.06, 0.63]).unwrap()
);
assert_eq!(
interp_3d.interpolate(&[0.02, 0.08, 0.65]).unwrap(),
interp_nd.interpolate(&[0.02, 0.08, 0.65]).unwrap()
);
assert_eq!(
interp_3d.interpolate(&[0.01, 0.33, 0.17]).unwrap(),
interp_nd.interpolate(&[0.01, 0.33, 0.17]).unwrap()
);
assert_eq!(
interp_3d.interpolate(&[0.02, 0.36, 0.19]).unwrap(),
interp_nd.interpolate(&[0.02, 0.36, 0.19]).unwrap()
);
assert_eq!(
interp_3d.interpolate(&[0.01, 0.33, 0.63]).unwrap(),
interp_nd.interpolate(&[0.01, 0.33, 0.63]).unwrap()
);
assert_eq!(
interp_3d.interpolate(&[0.02, 0.36, 0.65]).unwrap(),
interp_nd.interpolate(&[0.02, 0.36, 0.65]).unwrap()
);
assert_eq!(
interp_3d.interpolate(&[0.17, 0.06, 0.17]).unwrap(),
interp_nd.interpolate(&[0.17, 0.06, 0.17]).unwrap()
);
assert_eq!(
interp_3d.interpolate(&[0.19, 0.08, 0.19]).unwrap(),
interp_nd.interpolate(&[0.19, 0.08, 0.19]).unwrap()
);
assert_eq!(
interp_3d.interpolate(&[0.17, 0.06, 0.63]).unwrap(),
interp_nd.interpolate(&[0.17, 0.06, 0.63]).unwrap()
);
assert_eq!(
interp_3d.interpolate(&[0.19, 0.08, 0.65]).unwrap(),
interp_nd.interpolate(&[0.19, 0.08, 0.65]).unwrap()
);
assert_eq!(
interp_3d.interpolate(&[0.17, 0.33, 0.17]).unwrap(),
interp_nd.interpolate(&[0.17, 0.33, 0.17]).unwrap()
);
assert_eq!(
interp_3d.interpolate(&[0.19, 0.36, 0.19]).unwrap(),
interp_nd.interpolate(&[0.19, 0.36, 0.19]).unwrap()
);
assert_eq!(
interp_3d.interpolate(&[0.17, 0.33, 0.63]).unwrap(),
interp_nd.interpolate(&[0.17, 0.33, 0.63]).unwrap()
);
assert_eq!(
interp_3d.interpolate(&[0.19, 0.36, 0.65]).unwrap(),
interp_nd.interpolate(&[0.19, 0.36, 0.65]).unwrap()
);
}
#[test]
fn test_nearest() {
let interp = InterpND::new(
vec![array![0., 1.], array![0., 1.], array![0., 1.]],
array![[[0., 1.], [2., 3.]], [[4., 5.], [6., 7.]],].into_dyn(),
strategy::Nearest,
Extrapolate::Error,
)
.unwrap();
let x = &interp.data.grid[0];
let y = &interp.data.grid[1];
let z = &interp.data.grid[2];
for i in 0..x.len() {
for j in 0..y.len() {
for k in 0..z.len() {
assert_eq!(
interp.interpolate(&[x[i], y[j], z[k]]).unwrap(),
interp.data.values[[i, j, k]]
);
}
}
}
assert_eq!(interp.interpolate(&[0.25, 0.25, 0.25]).unwrap(), 0.);
assert_eq!(interp.interpolate(&[0.25, 0.75, 0.25]).unwrap(), 2.);
assert_eq!(interp.interpolate(&[0.75, 0.25, 0.75]).unwrap(), 5.);
assert_eq!(interp.interpolate(&[0.75, 0.75, 0.75]).unwrap(), 7.);
}
#[test]
fn test_extrapolate_inputs() {
assert!(matches!(
InterpND::new(
vec![array![0., 1.], array![0., 1.], array![0., 1.]],
array![[[0., 1.], [2., 3.]], [[4., 5.], [6., 7.]],].into_dyn(),
strategy::Nearest,
Extrapolate::Enable,
)
.unwrap_err(),
ValidateError::ExtrapolateSelection(_)
));
let interp = InterpND::new(
vec![array![0., 1.], array![0., 1.], array![0., 1.]],
array![[[0., 1.], [2., 3.]], [[4., 5.], [6., 7.]],].into_dyn(),
strategy::Linear,
Extrapolate::Error,
)
.unwrap();
assert!(matches!(
interp.interpolate(&[-1., -1., -1.]).unwrap_err(),
InterpolateError::ExtrapolateError(_)
));
assert!(matches!(
interp.interpolate(&[2., 2., 2.]).unwrap_err(),
InterpolateError::ExtrapolateError(_)
));
}
#[test]
fn test_extrapolate_fill() {
let interp = InterpND::new(
vec![array![0.1, 1.1], array![0.2, 1.2], array![0.3, 1.3]],
array![[[0., 1.], [2., 3.]], [[4., 5.], [6., 7.]],].into_dyn(),
strategy::Linear,
Extrapolate::Fill(f64::NAN),
)
.unwrap();
assert!(interp.interpolate(&[0., 0., 0.]).unwrap().is_nan());
assert!(interp.interpolate(&[0., 0., 2.]).unwrap().is_nan());
assert!(interp.interpolate(&[0., 2., 0.]).unwrap().is_nan());
assert!(interp.interpolate(&[0., 2., 2.]).unwrap().is_nan());
assert!(interp.interpolate(&[2., 0., 0.]).unwrap().is_nan());
assert!(interp.interpolate(&[2., 0., 2.]).unwrap().is_nan());
assert!(interp.interpolate(&[2., 2., 0.]).unwrap().is_nan());
assert!(interp.interpolate(&[2., 2., 2.]).unwrap().is_nan());
}
#[test]
fn test_extrapolate_clamp() {
let interp = InterpND::new(
vec![array![0.1, 1.1], array![0.2, 1.2], array![0.3, 1.3]],
array![[[0., 1.], [2., 3.]], [[4., 5.], [6., 7.]],].into_dyn(),
strategy::Linear,
Extrapolate::Clamp,
)
.unwrap();
assert_eq!(
interp.interpolate(&[-1., -1., -1.]).unwrap(),
interp.data.values[[0, 0, 0]]
);
assert_eq!(
interp.interpolate(&[-1., 2., -1.]).unwrap(),
interp.data.values[[0, 1, 0]]
);
assert_eq!(
interp.interpolate(&[2., -1., 2.]).unwrap(),
interp.data.values[[1, 0, 1]]
);
assert_eq!(
interp.interpolate(&[2., 2., 2.]).unwrap(),
interp.data.values[[1, 1, 1]]
);
}
#[test]
fn test_extrapolate_wrap() {
let interp = InterpND::new(
vec![array![0., 1.], array![0., 1.], array![0., 1.]],
array![[[0., 1.], [2., 3.]], [[4., 5.], [6., 7.]],].into_dyn(),
strategy::Linear,
Extrapolate::Wrap,
)
.unwrap();
assert_eq!(
interp.interpolate(&[-0.25, -0.2, -0.4]).unwrap(),
interp.interpolate(&[0.75, 0.8, 0.6]).unwrap(),
);
assert_eq!(
interp.interpolate(&[-0.25, 2.1, -0.4]).unwrap(),
interp.interpolate(&[0.75, 0.1, 0.6]).unwrap(),
);
assert_eq!(
interp.interpolate(&[-0.25, 2.1, 2.3]).unwrap(),
interp.interpolate(&[0.75, 0.1, 0.3]).unwrap(),
);
assert_eq!(
interp.interpolate(&[2.5, 2.1, 2.3]).unwrap(),
interp.interpolate(&[0.5, 0.1, 0.3]).unwrap(),
);
}
#[test]
fn test_mismatched_grid() {
assert!(matches!(
InterpND::new(
vec![array![0., 1.], array![0., 1.], array![0., 1.]],
array![[0., 1.], [2., 3.]].into_dyn(),
strategy::Linear,
Extrapolate::Error,
)
.unwrap_err(),
ValidateError::Other(_)
));
assert!(InterpND::new(
vec![array![]],
array![0.].into_dyn(),
strategy::Linear,
Extrapolate::Error,
)
.is_ok(),);
assert!(matches!(
InterpND::new(
vec![array![1.]],
array![0.].into_dyn(),
strategy::Linear,
Extrapolate::Error,
)
.unwrap_err(),
ValidateError::Other(_)
));
}
#[test]
fn test_partialeq() {
#[derive(PartialEq)]
#[allow(unused)]
struct MyStruct(InterpDataNDOwned<f64>);
#[derive(PartialEq)]
#[allow(unused)]
struct MyStruct2(InterpNDOwned<f64, strategy::Linear>);
}
#[test]
#[cfg(feature = "serde")]
fn test_serde() {
let interp = InterpND::new(
vec![array![0.1, 1.1], array![0.2, 1.2], array![0.3, 1.3]],
array![[[0., 1.], [2., 3.]], [[4., 5.], [6., 7.]],].into_dyn(),
strategy::Nearest,
Extrapolate::Error,
)
.unwrap();
let ser = serde_json::to_string(&interp).unwrap();
let de: InterpNDOwned<f64, strategy::Nearest> = serde_json::from_str(&ser).unwrap();
assert_eq!(interp, de);
}