Merge pull request #17 from cmccomb/master

Removal of machine learning to prepare for rhai-ml

Author: cmccomb

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "rhai-sci"
-version = "0.1.9"
+version = "0.2.0"
 edition = "2021"
 authors = ["Chris McComb <[email protected]>"]
 description = "Scientific computing in the Rhai scripting language"
@@ -19,10 +19,9 @@ metadata = ["rhai/metadata"]
 io = ["polars", "url", "temp-file", "csv-sniffer", "minreq"]
 nalgebra = ["nalgebralib", "linregress"]
 rand = ["randlib"]
-smartcore = ["smartcorelib", "bincode"]
 
 [dependencies]
-rhai = "1.8"
+rhai = ">=1.8.0"
 nalgebralib = {version = "0.32.1", optional = true, package = "nalgebra" }
 polars = {version = "0.27.2", optional = true }
 url = {version = "2.2.2", optional = true }
@@ -32,11 +31,9 @@ minreq = { version = "2.6.0", features = ["json-using-serde", "https"], optional
 randlib = { version = "0.8", optional = true, package = "rand" }
 smartstring = "1.0.1"
 linregress = { version = "0.5.0", optional = true }
-smartcorelib = {version = "0.3.0", optional = true, package = "smartcore", features=["serde"]}
-bincode = { version = "1.3.3", optional = true }
 
 [build-dependencies]
-rhai = "1.8"
+rhai = ">=1.8.0"
 nalgebralib = {version = "0.32.1", optional = true, package = "nalgebra" }
 polars = {version = "0.27.2", optional = true }
 url = {version = "2.2.2", optional = true }
@@ -48,8 +45,6 @@ serde_json = "1.0.82"
 serde = "1.0.140"
 smartstring = "1.0.1"
 linregress = { version = "0.5.0", optional = true }
-smartcorelib = {version = "0.3.0", optional = true, package = "smartcore", features=["serde"]}
-bincode = { version = "1.3.3", optional = true }
 
 [package.metadata.docs.rs]
 all-features = true

README.md

@@ -54,5 +54,4 @@ let value = engine.eval::<INT>("argmin([43, 42, -500])").unwrap();
 | `metadata`  | Disabled | Enables exporting function metadata and is ___necessary for running doc-tests on Rhai examples___.                                                                                                                                                                                                                                                                                                                                                                                                                    |
 | `io`        | Enabled  | Enables the [`read_matrix`](#read_matrixfile_path-string---array) function but pulls in several additional dependencies (`polars`, `url`, `temp-file`, `csv-sniffer`, `minreq`).                                                                                                                                                                                                                                                                                                                                      |
 | `nalgebra`  | Enabled  | Enables several functions ([`regress`](#regressx-array-y-array---map), [`inv`](#invmatrix-array---array), [`mtimes`](#mtimesmatrix1-array-matrix2-array---array), [`horzcat`](#horzcatmatrix1-array-matrix2-array---array), [`vertcat`](#vertcatmatrix1-array-matrix2-array---array), [`repmat`](#repmatmatrix-array-nx-i64-ny-i64---array), [`svd`](#svdmatrix-array---map), [`hessenberg`](#hessenbergmatrix-array---map), and [`qr`](#qrmatrix-array---map)) but brings in the `nalgebra` and `linregress` crates. |
-| `rand`      | Enabled  | Enables the [`rand`](#rand) function for generating random FLOAT values and random matrices, but brings in the `rand` crate.                                                                                                                                                                                                                                                                                                                                                                                          |
-| `smartcore` | Enabled  | Enables the [`eigs`](#eigsmatrix-array---map), [`train`](#trainx-array-y-array-algorithm-string---model), and [`predict`](#predictx-array-model-model---array) functions, but brings in the `smartcore` and `bincode` crates.                                                                                                                                                                                                                                                                                         |
+| `rand`      | Enabled  | Enables the [`rand`](#rand) function for generating random FLOAT values and random matrices, but brings in the `rand` crate.                                                                                                                                                                                                                                                                                                                                                                                          |

build.rs

@@ -6,7 +6,7 @@ fn main() {
 
     // Make empty file for documentation and tests
     std::fs::File::create(std::env::var("OUT_DIR").unwrap() + "/rhai-sci-docs.md").unwrap();
-    std::fs::File::create("tests/rhai-sci-tests.rs").unwrap();
+    std::fs::File::create(std::env::var("OUT_DIR").unwrap() + "/rhai-sci-tests.rs").unwrap();
 }
 
 #[cfg(feature = "metadata")]
@@ -40,7 +40,7 @@ fn main() {
         std::fs::File::create(std::env::var("OUT_DIR").unwrap() + "/rhai-sci-docs.md").unwrap();
 
     // Make a file for tests
-    let mut test_file = std::fs::File::create("tests/rhai-sci-tests.rs").unwrap();
+    let mut test_file = std::fs::File::create(std::env::var("OUT_DIR").unwrap() + "/rhai-sci-tests.rs").unwrap();
 
     // Build an engine for doctests
     let mut engine = Engine::new();
@@ -57,7 +57,6 @@ fn main() {
     combine_with_exported_module!(&mut lib, "rhai_sci_sets", set_functions);
     combine_with_exported_module!(&mut lib, "rhai_sci_moving", moving_functions);
     combine_with_exported_module!(&mut lib, "rhai_sci_validate", validation_functions);
-    combine_with_exported_module!(&mut lib, "rhai_sci_machine_learing", ml_functions);
     engine.register_global_module(rhai::Shared::new(lib));
 
     // Extract metadata
@@ -214,7 +213,6 @@ mod functions {
     include!("src/moving.rs");
     include!("src/validate.rs");
     include!("src/patterns.rs");
-    include!("src/machine_learning.rs");
 }
 
 #[cfg(feature = "metadata")]

src/cumulative.rs

@@ -102,7 +102,7 @@ pub mod cum_functions {
     /// ```
     #[rhai_fn(name = "cumtrapz", return_raw, pure)]
     pub fn cumtrapz_unit(y: &mut Array) -> Result<Array, Box<EvalAltResult>> {
-        crate::if_list_convert_to_vec_float_and_do(y, |yf| {
+        if_list_convert_to_vec_float_and_do(y, |yf| {
             let mut trapsum = 0.0 as FLOAT;
             let mut cumtrapsum = vec![Dynamic::FLOAT_ZERO];
             for i in 1..yf.len() {

src/lib.rs

@@ -28,8 +28,6 @@ mod sets;
 use sets::set_functions;
 mod validate;
 use validate::validation_functions;
-mod machine_learning;
-use machine_learning::ml_functions;
 
 def_package! {
     /// Package for scientific computing
@@ -45,7 +43,6 @@ def_package! {
         combine_with_exported_module!(lib, "rhai_sci_sets", set_functions);
         combine_with_exported_module!(lib, "rhai_sci_moving", moving_functions);
         combine_with_exported_module!(lib, "rhai_sci_validation", validation_functions);
-        combine_with_exported_module!(lib, "rhai_sci_machine_learing", ml_functions);
     }
 }