use std::rand::{random}; use std::cmp::ApproxEq; use na::{Vec0, Vec1, Vec2, Vec3, Vec4, Vec5, Vec6}; use na::{Mat3, Iterable, IterableMut}; // FIXME: get rid of that use na; macro_rules! test_iterator_impl( ($t: ty, $n: ty) => ( do 10000.times { let v: $t = random(); let mut mv: $t = v.clone(); let n: $n = random(); let nv: $t = v.iter().map(|e| e * n).collect(); for e in mv.mut_iter() { *e = *e * n } assert!(nv == mv && nv == v * n); } ) ) macro_rules! test_commut_dot_impl( ($t: ty) => ( do 10000.times { let v1 : $t = random(); let v2 : $t = random(); assert!(na::dot(&v1, &v2).approx_eq(&na::dot(&v2, &v1))); } ); ) macro_rules! test_scalar_op_impl( ($t: ty, $n: ty) => ( do 10000.times { let v1 : $t = random(); let n : $n = random(); assert!(((v1 * n) / n).approx_eq(&v1)); assert!(((v1 / n) * n).approx_eq(&v1)); assert!(((v1 - n) + n).approx_eq(&v1)); assert!(((v1 + n) - n).approx_eq(&v1)); let mut v1 : $t = random(); let v0 : $t = v1.clone(); let n : $n = random(); v1 = v1 * n; v1 = v1 / n; assert!(v1.approx_eq(&v0)); } ); ) macro_rules! test_basis_impl( ($t: ty) => ( do 10000.times { do na::canonical_basis |e1: $t| { do na::canonical_basis |e2: $t| { assert!(e1 == e2 || na::dot(&e1, &e2).approx_eq(&na::zero())); true } assert!(na::norm(&e1).approx_eq(&na::one())); true } } ); ) macro_rules! test_subspace_basis_impl( ($t: ty) => ( do 10000.times { let v : $t = random(); let v1 = na::normalize(&v); do na::orthonormal_subspace_basis(&v1) |e1| { // check vectors are orthogonal to v1 assert!(na::dot(&v1, &e1).approx_eq(&na::zero())); // check vectors form an orthonormal basis assert!(na::norm(&e1).approx_eq(&na::one())); // check vectors form an ortogonal basis do na::orthonormal_subspace_basis(&v1) |e2| { assert!(e1 == e2 || na::dot(&e1, &e2).approx_eq(&na::zero())); true } true } } ); ) #[test] fn test_cross_vec3() { do 10000.times { let v1 : Vec3 = random(); let v2 : Vec3 = random(); let v3 : Vec3 = na::cross(&v1, &v2); assert!(na::dot(&v3, &v2).approx_eq(&na::zero())); assert!(na::dot(&v3, &v1).approx_eq(&na::zero())); } } #[test] fn test_commut_dot_vec0() { test_commut_dot_impl!(Vec0); } #[test] fn test_commut_dot_vec1() { test_commut_dot_impl!(Vec1); } #[test] fn test_commut_dot_vec2() { test_commut_dot_impl!(Vec2); } #[test] fn test_commut_dot_vec3() { test_commut_dot_impl!(Vec3); } #[test] fn test_commut_dot_vec4() { test_commut_dot_impl!(Vec4); } #[test] fn test_commut_dot_vec5() { test_commut_dot_impl!(Vec5); } #[test] fn test_commut_dot_vec6() { test_commut_dot_impl!(Vec6); } #[test] fn test_basis_vec0() { test_basis_impl!(Vec0); } #[test] fn test_basis_vec1() { test_basis_impl!(Vec1); } #[test] fn test_basis_vec2() { test_basis_impl!(Vec2); } #[test] fn test_basis_vec3() { test_basis_impl!(Vec3); } #[test] fn test_basis_vec4() { test_basis_impl!(Vec4); } #[test] fn test_basis_vec5() { test_basis_impl!(Vec5); } #[test] fn test_basis_vec6() { test_basis_impl!(Vec6); } #[test] fn test_subspace_basis_vec0() { test_subspace_basis_impl!(Vec0); } #[test] fn test_subspace_basis_vec1() { test_subspace_basis_impl!(Vec1); } #[test] fn test_subspace_basis_vec2() { test_subspace_basis_impl!(Vec2); } #[test] fn test_subspace_basis_vec3() { test_subspace_basis_impl!(Vec3); } #[test] fn test_subspace_basis_vec4() { test_subspace_basis_impl!(Vec4); } #[test] fn test_subspace_basis_vec5() { test_subspace_basis_impl!(Vec5); } #[test] fn test_subspace_basis_vec6() { test_subspace_basis_impl!(Vec6); } #[test] fn test_scalar_op_vec0() { test_scalar_op_impl!(Vec0, f64); } #[test] fn test_scalar_op_vec1() { test_scalar_op_impl!(Vec1, f64); } #[test] fn test_scalar_op_vec2() { test_scalar_op_impl!(Vec2, f64); } #[test] fn test_scalar_op_vec3() { test_scalar_op_impl!(Vec3, f64); } #[test] fn test_scalar_op_vec4() { test_scalar_op_impl!(Vec4, f64); } #[test] fn test_scalar_op_vec5() { test_scalar_op_impl!(Vec5, f64); } #[test] fn test_scalar_op_vec6() { test_scalar_op_impl!(Vec6, f64); } #[test] fn test_iterator_vec0() { test_iterator_impl!(Vec0, f64); } #[test] fn test_iterator_vec1() { test_iterator_impl!(Vec1, f64); } #[test] fn test_iterator_vec2() { test_iterator_impl!(Vec2, f64); } #[test] fn test_iterator_vec3() { test_iterator_impl!(Vec3, f64); } #[test] fn test_iterator_vec4() { test_iterator_impl!(Vec4, f64); } #[test] fn test_iterator_vec5() { test_iterator_impl!(Vec5, f64); } #[test] fn test_iterator_vec6() { test_iterator_impl!(Vec6, f64); } #[test] fn test_ord_vec3() { // equality assert!(Vec3::new(0.5, 0.5, 0.5) == Vec3::new(0.5, 0.5, 0.5)); assert!(!(Vec3::new(1.5, 0.5, 0.5) == Vec3::new(0.5, 0.5, 0.5))); assert!(Vec3::new(1.5, 0.5, 0.5) != Vec3::new(0.5, 0.5, 0.5)); // comparable assert!(Vec3::new(0.5, 0.3, 0.3) < Vec3::new(1.0, 2.0, 1.0)); assert!(Vec3::new(0.5, 0.3, 0.3) <= Vec3::new(1.0, 2.0, 1.0)); assert!(Vec3::new(2.0, 4.0, 2.0) > Vec3::new(1.0, 2.0, 1.0)); assert!(Vec3::new(2.0, 4.0, 2.0) >= Vec3::new(1.0, 2.0, 1.0)); // not comparable assert!(!(Vec3::new(0.0, 3.0, 0.0) < Vec3::new(1.0, 2.0, 1.0))); assert!(!(Vec3::new(0.0, 3.0, 0.0) > Vec3::new(1.0, 2.0, 1.0))); assert!(!(Vec3::new(0.0, 3.0, 0.0) <= Vec3::new(1.0, 2.0, 1.0))); assert!(!(Vec3::new(0.0, 3.0, 0.0) >= Vec3::new(1.0, 2.0, 1.0))); } #[test] fn test_min_max_vec3() { assert_eq!(Vec3::new(1, 2, 3).max(&Vec3::new(3, 2, 1)), Vec3::new(3, 2, 3)); assert_eq!(Vec3::new(1, 2, 3).min(&Vec3::new(3, 2, 1)), Vec3::new(1, 2, 1)); assert_eq!(Vec3::new(0, 2, 4).clamp(&Vec3::new(1, 1, 1), &Vec3::new(3, 3, 3)), Vec3::new(1, 2, 3)); } #[test] fn test_outer_vec3() { assert_eq!( na::outer(&Vec3::new(1, 2, 3), &Vec3::new(4, 5, 6)), Mat3::new( 4, 5, 6, 8, 10, 12, 12, 15, 18)); }