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Copy pathnumeric.rs
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477 lines (427 loc) · 11.3 KB
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#![allow(
clippy::many_single_char_names, clippy::deref_addrof, clippy::unreadable_literal, clippy::float_cmp
)]
use approx::assert_abs_diff_eq;
use ndarray::{arr0, arr1, arr2, array, aview1, Array, Array1, Array2, Array3, Axis};
use std::f64;
#[test]
fn test_mean_with_nan_values()
{
let a = array![f64::NAN, 1.];
assert!(a.mean().unwrap().is_nan());
}
#[test]
fn test_mean_with_empty_array_of_floats()
{
let a: Array1<f64> = array![];
assert!(a.mean().is_none());
}
#[test]
fn test_mean_with_array_of_floats()
{
let a: Array1<f64> = array![
0.99889651, 0.0150731, 0.28492482, 0.83819218, 0.48413156, 0.80710412, 0.41762936,
0.22879429, 0.43997224, 0.23831807, 0.02416466, 0.6269962, 0.47420614, 0.56275487,
0.78995021, 0.16060581, 0.64635041, 0.34876609, 0.78543249, 0.19938356, 0.34429457,
0.88072369, 0.17638164, 0.60819363, 0.250392, 0.69912532, 0.78855523, 0.79140914,
0.85084218, 0.31839879, 0.63381769, 0.22421048, 0.70760302, 0.99216018, 0.80199153,
0.19239188, 0.61356023, 0.31505352, 0.06120481, 0.66417377, 0.63608897, 0.84959691,
0.43599069, 0.77867775, 0.88267754, 0.83003623, 0.67016118, 0.67547638, 0.65220036,
0.68043427
];
let exact_mean = 0.5475494054;
assert_abs_diff_eq!(a.mean().unwrap(), exact_mean);
}
#[test]
fn sum_mean_prod()
{
let a: Array2<f64> = arr2(&[[1., 2.], [3., 4.]]);
assert_eq!(a.sum_axis(Axis(0)), arr1(&[4., 6.]));
assert_eq!(a.sum_axis(Axis(1)), arr1(&[3., 7.]));
assert_eq!(a.product_axis(Axis(0)), arr1(&[3., 8.]));
assert_eq!(a.product_axis(Axis(1)), arr1(&[2., 12.]));
assert_eq!(a.mean_axis(Axis(0)), Some(arr1(&[2., 3.])));
assert_eq!(a.mean_axis(Axis(1)), Some(arr1(&[1.5, 3.5])));
assert_eq!(a.sum_axis(Axis(1)).sum_axis(Axis(0)), arr0(10.));
assert_eq!(a.product_axis(Axis(1)).product_axis(Axis(0)), arr0(24.));
assert_eq!(a.view().mean_axis(Axis(1)).unwrap(), aview1(&[1.5, 3.5]));
assert_eq!(a.sum(), 10.);
}
#[test]
fn sum_mean_prod_empty()
{
assert_eq!(Array3::<f32>::ones((2, 0, 3)).sum(), 0.);
assert_eq!(Array3::<f32>::ones((2, 0, 3)).product(), 1.);
assert_eq!(Array1::<f32>::ones(0).sum_axis(Axis(0)), arr0(0.));
assert_eq!(Array1::<f32>::ones(0).product_axis(Axis(0)), arr0(1.));
assert_eq!(
Array3::<f32>::ones((2, 0, 3)).sum_axis(Axis(1)),
Array::zeros((2, 3)),
);
assert_eq!(
Array3::<f32>::ones((2, 0, 3)).product_axis(Axis(1)),
Array::ones((2, 3)),
);
let a = Array1::<f32>::ones(0).mean_axis(Axis(0));
assert_eq!(a, None);
let a = Array3::<f32>::ones((2, 0, 3)).mean_axis(Axis(1));
assert_eq!(a, None);
}
#[test]
fn test_cumprod_1d()
{
let a = array![1, 2, 3, 4];
let result = a.cumprod(Axis(0));
assert_eq!(result, array![1, 2, 6, 24]);
}
#[test]
fn test_cumprod_2d()
{
let a = array![[1, 2], [3, 4]];
let result_axis0 = a.cumprod(Axis(0));
assert_eq!(result_axis0, array![[1, 2], [3, 8]]);
let result_axis1 = a.cumprod(Axis(1));
assert_eq!(result_axis1, array![[1, 2], [3, 12]]);
}
#[test]
fn test_cumprod_3d()
{
let a = array![[[1, 2], [3, 4]], [[5, 6], [7, 8]]];
let result_axis0 = a.cumprod(Axis(0));
assert_eq!(result_axis0, array![[[1, 2], [3, 4]], [[5, 12], [21, 32]]]);
let result_axis1 = a.cumprod(Axis(1));
assert_eq!(result_axis1, array![[[1, 2], [3, 8]], [[5, 6], [35, 48]]]);
let result_axis2 = a.cumprod(Axis(2));
assert_eq!(result_axis2, array![[[1, 2], [3, 12]], [[5, 30], [7, 56]]]);
}
#[test]
fn test_cumprod_empty()
{
// For 2D empty array
let b: Array2<i32> = Array2::zeros((0, 0));
let result_axis0 = b.cumprod(Axis(0));
assert_eq!(result_axis0, Array2::zeros((0, 0)));
let result_axis1 = b.cumprod(Axis(1));
assert_eq!(result_axis1, Array2::zeros((0, 0)));
}
#[test]
fn test_cumprod_1_element()
{
// For 1D array with one element
let a = array![5];
let result = a.cumprod(Axis(0));
assert_eq!(result, array![5]);
// For 2D array with one element
let b = array![[5]];
let result_axis0 = b.cumprod(Axis(0));
let result_axis1 = b.cumprod(Axis(1));
assert_eq!(result_axis0, array![[5]]);
assert_eq!(result_axis1, array![[5]]);
}
#[test]
#[should_panic(expected = "axis is out of bounds for array of dimension")]
fn test_cumprod_axis_out_of_bounds()
{
let a = array![[1, 2], [3, 4]];
let _result = a.cumprod(Axis(2));
}
#[test]
#[cfg(feature = "std")]
fn var()
{
let a = array![1., -4.32, 1.14, 0.32];
assert_abs_diff_eq!(a.var(0.), 5.049875, epsilon = 1e-8);
}
#[test]
#[cfg(feature = "std")]
#[should_panic]
fn var_negative_ddof()
{
let a = array![1., 2., 3.];
a.var(-1.);
}
#[test]
#[cfg(feature = "std")]
#[should_panic]
fn var_too_large_ddof()
{
let a = array![1., 2., 3.];
a.var(4.);
}
#[test]
#[cfg(feature = "std")]
fn var_nan_ddof()
{
let a = Array2::<f64>::zeros((2, 3));
let v = a.var(f64::NAN);
assert!(v.is_nan());
}
#[test]
#[cfg(feature = "std")]
fn var_empty_arr()
{
let a: Array1<f64> = array![];
assert!(a.var(0.0).is_nan());
}
#[test]
#[cfg(feature = "std")]
fn std()
{
let a = array![1., -4.32, 1.14, 0.32];
assert_abs_diff_eq!(a.std(0.), 2.24719, epsilon = 1e-5);
}
#[test]
#[cfg(feature = "std")]
#[should_panic]
fn std_negative_ddof()
{
let a = array![1., 2., 3.];
a.std(-1.);
}
#[test]
#[cfg(feature = "std")]
#[should_panic]
fn std_too_large_ddof()
{
let a = array![1., 2., 3.];
a.std(4.);
}
#[test]
#[cfg(feature = "std")]
fn std_nan_ddof()
{
let a = Array2::<f64>::zeros((2, 3));
let v = a.std(f64::NAN);
assert!(v.is_nan());
}
#[test]
#[cfg(feature = "std")]
fn std_empty_arr()
{
let a: Array1<f64> = array![];
assert!(a.std(0.0).is_nan());
}
#[test]
#[cfg(feature = "approx")]
#[cfg(feature = "std")]
fn var_axis()
{
use ndarray::{aview0, aview2};
let a = array![
[
[-9.76, -0.38, 1.59, 6.23],
[-8.57, -9.27, 5.76, 6.01],
[-9.54, 5.09, 3.21, 6.56],
],
[
[8.23, -9.63, 3.76, -3.48],
[-5.46, 5.86, -2.81, 1.35],
[-1.08, 4.66, 8.34, -0.73],
],
];
assert_abs_diff_eq!(
a.var_axis(Axis(0), 1.5),
aview2(&[
[3.236401e+02, 8.556250e+01, 4.708900e+00, 9.428410e+01],
[9.672100e+00, 2.289169e+02, 7.344490e+01, 2.171560e+01],
[7.157160e+01, 1.849000e-01, 2.631690e+01, 5.314410e+01]
]),
epsilon = 1e-4,
);
assert_abs_diff_eq!(
a.var_axis(Axis(1), 1.7),
aview2(&[
[0.61676923, 80.81092308, 6.79892308, 0.11789744],
[75.19912821, 114.25235897, 48.32405128, 9.03020513],
]),
epsilon = 1e-8,
);
assert_abs_diff_eq!(
a.var_axis(Axis(2), 2.3),
aview2(&[
[79.64552941, 129.09663235, 95.98929412],
[109.64952941, 43.28758824, 36.27439706],
]),
epsilon = 1e-8,
);
let b = array![[1.1, 2.3, 4.7]];
assert_abs_diff_eq!(
b.var_axis(Axis(0), 0.),
aview1(&[0., 0., 0.]),
epsilon = 1e-12
);
assert_abs_diff_eq!(b.var_axis(Axis(1), 0.), aview1(&[2.24]), epsilon = 1e-12);
let c = array![[], []];
assert_eq!(c.var_axis(Axis(0), 0.), aview1(&[]));
let d = array![1.1, 2.7, 3.5, 4.9];
assert_abs_diff_eq!(d.var_axis(Axis(0), 0.), aview0(&1.8875), epsilon = 1e-12);
}
#[test]
#[cfg(feature = "approx")]
#[cfg(feature = "std")]
fn std_axis()
{
use ndarray::aview2;
let a = array![
[
[0.22935481, 0.08030619, 0.60827517, 0.73684379],
[0.90339851, 0.82859436, 0.64020362, 0.2774583],
[0.44485313, 0.63316367, 0.11005111, 0.08656246]
],
[
[0.28924665, 0.44082454, 0.59837736, 0.41014531],
[0.08382316, 0.43259439, 0.1428889, 0.44830176],
[0.51529756, 0.70111616, 0.20799415, 0.91851457]
],
];
assert_abs_diff_eq!(
a.std_axis(Axis(0), 1.5),
aview2(&[
[0.05989184, 0.36051836, 0.00989781, 0.32669847],
[0.81957535, 0.39599997, 0.49731472, 0.17084346],
[0.07044443, 0.06795249, 0.09794304, 0.83195211],
]),
epsilon = 1e-4,
);
assert_abs_diff_eq!(
a.std_axis(Axis(1), 1.7),
aview2(&[
[0.42698655, 0.48139215, 0.36874991, 0.41458724],
[0.26769097, 0.18941435, 0.30555015, 0.35118674],
]),
epsilon = 1e-8,
);
assert_abs_diff_eq!(
a.std_axis(Axis(2), 2.3),
aview2(&[
[0.41117907, 0.37130425, 0.35332388],
[0.16905862, 0.25304841, 0.39978276],
]),
epsilon = 1e-8,
);
let b = array![[100000., 1., 0.01]];
assert_abs_diff_eq!(
b.std_axis(Axis(0), 0.),
aview1(&[0., 0., 0.]),
epsilon = 1e-12,
);
assert_abs_diff_eq!(
b.std_axis(Axis(1), 0.),
aview1(&[47_140.214_021_552_77]),
epsilon = 1e-6,
);
let c = array![[], []];
assert_eq!(c.std_axis(Axis(0), 0.), aview1(&[]));
}
#[test]
#[should_panic]
#[cfg(feature = "std")]
fn var_axis_negative_ddof()
{
let a = array![1., 2., 3.];
a.var_axis(Axis(0), -1.);
}
#[test]
#[should_panic]
#[cfg(feature = "std")]
fn var_axis_too_large_ddof()
{
let a = array![1., 2., 3.];
a.var_axis(Axis(0), 4.);
}
#[test]
#[cfg(feature = "std")]
fn var_axis_nan_ddof()
{
let a = Array2::<f64>::zeros((2, 3));
let v = a.var_axis(Axis(1), f64::NAN);
assert_eq!(v.shape(), &[2]);
v.mapv(|x| assert!(x.is_nan()));
}
#[test]
#[cfg(feature = "std")]
fn var_axis_empty_axis()
{
let a = Array2::<f64>::zeros((2, 0));
let v = a.var_axis(Axis(1), 0.);
assert_eq!(v.shape(), &[2]);
v.mapv(|x| assert!(x.is_nan()));
}
#[test]
#[should_panic]
#[cfg(feature = "std")]
fn std_axis_bad_dof()
{
let a = array![1., 2., 3.];
a.std_axis(Axis(0), 4.);
}
#[test]
#[cfg(feature = "std")]
fn std_axis_empty_axis()
{
let a = Array2::<f64>::zeros((2, 0));
let v = a.std_axis(Axis(1), 0.);
assert_eq!(v.shape(), &[2]);
v.mapv(|x| assert!(x.is_nan()));
}
#[test]
fn diff_1d_order1()
{
let data = array![1.0, 2.0, 4.0, 7.0];
let expected = array![1.0, 2.0, 3.0];
assert_eq!(data.diff(1, Axis(0)), expected);
}
#[test]
fn diff_1d_order2()
{
let data = array![1.0, 2.0, 4.0, 7.0];
assert_eq!(
data.diff(2, Axis(0)),
data.diff(1, Axis(0)).diff(1, Axis(0))
);
}
#[test]
fn diff_1d_order3()
{
let data = array![1.0, 2.0, 4.0, 7.0];
assert_eq!(
data.diff(3, Axis(0)),
data.diff(1, Axis(0)).diff(1, Axis(0)).diff(1, Axis(0))
);
}
#[test]
fn diff_2d_order1_ax0()
{
let data = array![
[1.0, 2.0, 4.0, 7.0],
[1.0, 3.0, 6.0, 6.0],
[1.5, 3.5, 5.5, 5.5]
];
let expected = array![[0.0, 1.0, 2.0, -1.0], [0.5, 0.5, -0.5, -0.5]];
assert_eq!(data.diff(1, Axis(0)), expected);
}
#[test]
fn diff_2d_order1_ax1()
{
let data = array![
[1.0, 2.0, 4.0, 7.0],
[1.0, 3.0, 6.0, 6.0],
[1.5, 3.5, 5.5, 5.5]
];
let expected = array![[1.0, 2.0, 3.0], [2.0, 3.0, 0.0], [2.0, 2.0, 0.0]];
assert_eq!(data.diff(1, Axis(1)), expected);
}
#[test]
#[should_panic]
fn diff_panic_n_too_big()
{
let data = array![1.0, 2.0, 4.0, 7.0];
data.diff(10, Axis(0));
}
#[test]
#[should_panic]
fn diff_panic_axis_out_of_bounds()
{
let data = array![1, 2, 4, 7];
data.diff(1, Axis(2));
}
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