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/naive_bayes/bernoulli.rs

@@ -346,6 +346,7 @@ mod tests {
     use super::*;
     use crate::linalg::naive::dense_matrix::DenseMatrix;
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn run_bernoulli_naive_bayes() {
         // Tests that BernoulliNB when alpha=1.0 gives the same values as
@@ -398,6 +399,7 @@ mod tests {
         assert_eq!(y_hat, &[1.]);
     }
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn bernoulli_nb_scikit_parity() {
         let x = DenseMatrix::<f64>::from_2d_array(&[
@@ -460,6 +462,7 @@ mod tests {
         ));
     }
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     #[cfg(feature = "serde")]
     fn serde() {

src/naive_bayes/categorical.rs

@@ -351,6 +351,7 @@ mod tests {
     use super::*;
     use crate::linalg::naive::dense_matrix::DenseMatrix;
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn run_categorical_naive_bayes() {
         let x = DenseMatrix::from_2d_array(&[
@@ -431,6 +432,7 @@ mod tests {
         assert_eq!(y_hat, vec![0., 1.]);
     }
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn run_categorical_naive_bayes2() {
         let x = DenseMatrix::from_2d_array(&[
@@ -459,6 +461,7 @@ mod tests {
         );
     }
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     #[cfg(feature = "serde")]
     fn serde() {

src/naive_bayes/gaussian.rs

@@ -259,6 +259,7 @@ mod tests {
     use super::*;
     use crate::linalg::naive::dense_matrix::DenseMatrix;
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn run_gaussian_naive_bayes() {
         let x = DenseMatrix::from_2d_array(&[
@@ -295,6 +296,7 @@ mod tests {
         );
     }
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn run_gaussian_naive_bayes_with_priors() {
         let x = DenseMatrix::from_2d_array(&[
@@ -314,6 +316,7 @@ mod tests {
         assert_eq!(gnb.class_priors(), &priors);
     }
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     #[cfg(feature = "serde")]
     fn serde() {

src/naive_bayes/multinomial.rs

@@ -297,6 +297,7 @@ mod tests {
     use super::*;
     use crate::linalg::naive::dense_matrix::DenseMatrix;
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn run_multinomial_naive_bayes() {
         // Tests that MultinomialNB when alpha=1.0 gives the same values as
@@ -352,6 +353,7 @@ mod tests {
         assert_eq!(y_hat, &[0.]);
     }
 
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     fn multinomial_nb_scikit_parity() {
         let x = DenseMatrix::<f64>::from_2d_array(&[
@@ -411,6 +413,7 @@ mod tests {
             1e-5
         ));
     }
+    #[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
     #[test]
     #[cfg(feature = "serde")]
     fn serde() {