use na::{Vector2,Vector3,Vector4,Vector5,DVector, DMatrix, Matrix5, Matrix3}; use std::panic; // // Should mimic calculations in Python's scipy library // >>>from scipy.signal import convolve // // >>> convolve([1,2,3,4],[1,2],"same") // array([ 1, 4, 7, 10]) #[test] fn convolve_same_check(){ // Static Tests let actual_s = Vector4::new(1.0, 4.0, 7.0, 10.0); let expected_s = Vector4::new(1.0, 2.0, 3.0, 4.0).convolve_same(Vector2::new(1.0, 2.0)); assert!(relative_eq!(actual_s, expected_s, epsilon = 1.0e-7)); // Dynamic Tests let actual_d = DVector::from_vec(vec![1.0, 4.0, 7.0, 10.0]); let expected_d = DVector::from_vec(vec![1.0, 2.0, 3.0, 4.0]).convolve_same(DVector::from_vec(vec![1.0, 2.0])); assert!(relative_eq!(actual_d, expected_d, epsilon = 1.0e-7)); // Panic Tests // These really only apply to dynamic sized vectors assert!( panic::catch_unwind(|| { DVector::from_vec(vec![1.0, 2.0]).convolve_same(DVector::from_vec(vec![1.0, 2.0, 3.0, 4.0])); }).is_err() ); assert!( panic::catch_unwind(|| { DVector::::from_vec(vec![]).convolve_same(DVector::from_vec(vec![1.0, 2.0, 3.0, 4.0])); }).is_err() ); assert!( panic::catch_unwind(|| { DVector::from_vec(vec![1.0, 2.0, 3.0, 4.0]).convolve_same(DVector::::from_vec(vec![])); }).is_err() ); } // >>> convolve([1,2,3,4],[1,2],"full") // array([ 1, 4, 7, 10, 8]) #[test] fn convolve_full_check(){ // Static Tests let actual_s = Vector5::new(1.0, 4.0, 7.0, 10.0, 8.0); let expected_s = Vector4::new(1.0, 2.0, 3.0, 4.0).convolve_full(Vector2::new(1.0, 2.0)); assert!(relative_eq!(actual_s, expected_s, epsilon = 1.0e-7)); // Dynamic Tests let actual_d = DVector::from_vec(vec![1.0, 4.0, 7.0, 10.0, 8.0]); let expected_d = DVector::from_vec(vec![1.0, 2.0, 3.0, 4.0]).convolve_full(DVector::from_vec(vec![1.0, 2.0])); assert!(relative_eq!(actual_d, expected_d, epsilon = 1.0e-7)); // Panic Tests // These really only apply to dynamic sized vectors assert!( panic::catch_unwind(|| { DVector::from_vec(vec![1.0, 2.0] ).convolve_full(DVector::from_vec(vec![1.0, 2.0, 3.0, 4.0] )); }).is_err() ); assert!( panic::catch_unwind(|| { DVector::::from_vec(vec![]).convolve_full(DVector::from_vec(vec![1.0, 2.0, 3.0, 4.0] )); }).is_err() ); assert!( panic::catch_unwind(|| { DVector::from_vec(vec![1.0, 2.0, 3.0, 4.0] ).convolve_full(DVector::::from_vec(vec![])); }).is_err() ); } // >>> convolve([1, 2, 3, 4],[1, 2],"valid") // array([4, 7, 10]) #[test] fn convolve_valid_check(){ // Static Tests let actual_s = Vector3::from_vec(vec![4.0, 7.0, 10.0]); let expected_s = Vector4::new(1.0, 2.0, 3.0, 4.0).convolve_valid( Vector2::new(1.0, 2.0)); assert!(relative_eq!(actual_s, expected_s, epsilon = 1.0e-7)); // Dynamic Tests let actual_d = DVector::from_vec(vec![4.0, 7.0, 10.0]); let expected_d = DVector::from_vec(vec![1.0, 2.0, 3.0, 4.0]).convolve_valid(DVector::from_vec(vec![1.0, 2.0])); assert!(relative_eq!(actual_d, expected_d, epsilon = 1.0e-7)); // Panic Tests // These really only apply to dynamic sized vectors assert!( panic::catch_unwind(|| { DVector::from_vec(vec![1.0, 2.0]).convolve_valid(DVector::from_vec(vec![1.0, 2.0, 3.0, 4.0])); }).is_err() ); assert!( panic::catch_unwind(|| { DVector::::from_vec(vec![]).convolve_valid(DVector::from_vec(vec![1.0, 2.0, 3.0, 4.0])); }).is_err() ); assert!( panic::catch_unwind(|| { DVector::from_vec(vec![1.0, 2.0, 3.0, 4.0]).convolve_valid(DVector::::from_vec(vec![])); }).is_err() ); } //// >>> convolve([1,2,3,4],[1,2],"same") //// array([ 1, 4, 7, 10]) //#[test] //fn convolve_same_integers_check(){ // // Static Tests // let actual_s = Vector4::new(1, 4, 7, 10); // let expected_s = Vector4::new(1, 2, 3, 4).convolve_same(Vector2::new(1, 2)); // // assert!(relative_eq!(actual_s, expected_s, epsilon = 1.0e-7)); // // // Dynamic Tests // let actual_d = DVector::from_vec(vec![1, 4, 7, 10]); // let expected_d = DVector::from_vec(vec![1, 2, 3, 4]).convolve_same(DVector::from_vec(vec![1, 2])); // // assert!(relative_eq!(actual_d, expected_d, epsilon = 1.0e-7)); // // // Panic Tests // // These really only apply to dynamic sized vectors // assert!( // panic::catch_unwind(|| { // DVector::from_vec(vec![1, 2]).convolve_same(DVector::from_vec(vec![1, 2, 3, 4])); // }).is_err() // ); // // assert!( // panic::catch_unwind(|| { // DVector::::from_vec(vec![]).convolve_same(DVector::from_vec(vec![1, 2, 3, 4])); // }).is_err() // ); // // assert!( // panic::catch_unwind(|| { // DVector::from_vec(vec![1, 2, 3, 4]).convolve_same(DVector::::from_vec(vec![])); // }).is_err() // ); //} // // Should mimic calculations in Python's scipy library // >>>from scipy.signal import convolve // // >>> convolve([1,2,3,4],[1,2],"same") // array([ 1, 4, 7, 10]) #[test] fn convolve_same_mat_check(){ let actual_s = Matrix5::from_vec( vec![3.0,4.0,4.0,4.0,3.0,4.0,5.0,5.0,5.0,4.0,4.0,5.0,5.0,5.0,4.0,4.0,5.0,5.0,5.0,4.0,3.0,4.0,4.0,4.0,3.0]); let expected_s = Matrix5::from_element(1.0).smat_convolve_full(Matrix3::from_vec(vec![0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0])); assert!(relative_eq!(actual_s, expected_s, epsilon = 1.0e-7)); let actual_d = DMatrix::from_vec(5,5, vec![3.0,4.0,4.0,4.0,3.0,4.0,5.0,5.0,5.0,4.0,4.0,5.0,5.0,5.0,4.0,4.0,5.0,5.0,5.0,4.0,3.0,4.0,4.0,4.0,3.0]); let expected_d = DMatrix::from_element(5,5,1.0).dmat_convolve_full(DMatrix::from_vec(3,3,vec![0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0])); assert!(relative_eq!(actual_d, expected_d, epsilon = 1.0e-7)); // Panic Tests // These really only apply to dynamic sized vectors assert!( panic::catch_unwind(|| { DMatrix::from_element(2,2,1.0).dmat_convolve_full(DMatrix::from_vec(3,3,vec![0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0])); }).is_err() ); assert!( panic::catch_unwind(|| { DMatrix::from_element(0,0,1.0).dmat_convolve_full(DMatrix::from_vec(3,3,vec![0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0])); }).is_err() ); assert!( panic::catch_unwind(|| { DMatrix::from_element(5,5,1.0).dmat_convolve_full(DMatrix::from_vec(0,0,vec![])); }).is_err() ); }