feat: added support to wasm (#94)

* test: run tests also in wasm targets

* fix: install rand with wasm-bindgen por wasm targets

* fix: use actual usize size to access buffer.

* fix: do not run functions that create files in wasm.

* test: do not run in wasm test that panics.

Co-authored-by: Luis Moreno <morenol@users.noreply.github.com>

src/linear/bg_solver.rs

@@ -126,6 +126,7 @@ mod tests {
 
     impl<T: RealNumber, M: Matrix<T>> BiconjugateGradientSolver<T, M> for BGSolver {}
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn bg_solver() {
         let a = DenseMatrix::from_2d_array(&[&[25., 15., -5.], &[15., 18., 0.], &[-5., 0., 11.]]);

src/linear/elastic_net.rs

@@ -291,6 +291,7 @@ mod tests {
     use crate::linalg::naive::dense_matrix::*;
     use crate::metrics::mean_absolute_error;
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn elasticnet_longley() {
         let x = DenseMatrix::from_2d_array(&[
@@ -334,6 +335,7 @@ mod tests {
         assert!(mean_absolute_error(&y_hat, &y) < 30.0);
     }
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn elasticnet_fit_predict1() {
         let x = DenseMatrix::from_2d_array(&[
@@ -400,6 +402,7 @@ mod tests {
         assert!(l1_model.coefficients().get(0, 0) > l1_model.coefficients().get(2, 0));
     }
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     #[cfg(feature = "serde")]
     fn serde() {

src/linear/lasso.rs

@@ -226,6 +226,7 @@ mod tests {
     use crate::linalg::naive::dense_matrix::*;
     use crate::metrics::mean_absolute_error;
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn lasso_fit_predict() {
         let x = DenseMatrix::from_2d_array(&[
@@ -274,6 +275,7 @@ mod tests {
         assert!(mean_absolute_error(&y_hat, &y) < 2.0);
     }
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     #[cfg(feature = "serde")]
     fn serde() {

src/linear/linear_regression.rs

@@ -200,6 +200,7 @@ mod tests {
     use super::*;
     use crate::linalg::naive::dense_matrix::*;
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn ols_fit_predict() {
         let x = DenseMatrix::from_2d_array(&[
@@ -250,6 +251,7 @@ mod tests {
             .all(|(&a, &b)| (a - b).abs() <= 5.0));
     }
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     #[cfg(feature = "serde")]
     fn serde() {

src/linear/logistic_regression.rs

@@ -452,6 +452,7 @@ mod tests {
     use crate::linalg::naive::dense_matrix::*;
     use crate::metrics::accuracy;
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn multiclass_objective_f() {
         let x = DenseMatrix::from_2d_array(&[
@@ -519,6 +520,7 @@ mod tests {
         assert!((g.get(0, 0).abs() - 32.0).abs() < 1e-4);
     }
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn binary_objective_f() {
         let x = DenseMatrix::from_2d_array(&[
@@ -575,6 +577,7 @@ mod tests {
         assert!((g.get(0, 2) - 3.8693).abs() < 1e-4);
     }
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn lr_fit_predict() {
         let x = DenseMatrix::from_2d_array(&[
@@ -612,6 +615,7 @@ mod tests {
         );
     }
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn lr_fit_predict_multiclass() {
         let blobs = make_blobs(15, 4, 3);
@@ -635,6 +639,7 @@ mod tests {
         assert!(lr_reg.coefficients().abs().sum() < lr.coefficients().abs().sum());
     }
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn lr_fit_predict_binary() {
         let blobs = make_blobs(20, 4, 2);
@@ -658,6 +663,7 @@ mod tests {
         assert!(lr_reg.coefficients().abs().sum() < lr.coefficients().abs().sum());
     }
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     #[cfg(feature = "serde")]
     fn serde() {
@@ -688,6 +694,7 @@ mod tests {
         assert_eq!(lr, deserialized_lr);
     }
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn lr_fit_predict_iris() {
         let x = DenseMatrix::from_2d_array(&[

src/linear/ridge_regression.rs

@@ -274,6 +274,7 @@ mod tests {
     use crate::linalg::naive::dense_matrix::*;
     use crate::metrics::mean_absolute_error;
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn ridge_fit_predict() {
         let x = DenseMatrix::from_2d_array(&[
@@ -329,6 +330,7 @@ mod tests {
         assert!(mean_absolute_error(&y_hat_svd, &y) < 2.0);
     }
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     #[cfg(feature = "serde")]
     fn serde() {