[*] Bump version.

Author: Никита Пацакула

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "lightgbm"
-version = "0.2.3"
+version = "0.2.4"
 authors = ["vaaaaanquish <6syun9@gmail.com>"]
 license = "MIT"
 repository = "https://github.com/vaaaaanquish/LightGBM"
@@ -9,7 +9,7 @@ readme = "README.md"
 exclude = [".gitignore", ".gitmodules", "examples", "lightgbm-sys"]
 
 [dependencies]
-lightgbm-sys = { path = "lightgbm-sys", version = "0.3.0" }
+lightgbm-sys = { path = "lightgbm-sys", version = "0.3.1" }
 libc = "0.2.81"
 derive_builder = "0.12"
 serde_json = "1"

lightgbm-sys/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "lightgbm-sys"
-version = "0.3.0"
+version = "0.3.1"
 authors = ["vaaaaanquish <6syun9@gmail.com>"]
 build = "build.rs"
 license = "MIT"

src/booster.rs

@@ -230,12 +230,12 @@ mod tests {
  use std::path::Path;
 
  fn _read_train_file() -> Result<Dataset> {
- Dataset::from_file(&"lightgbm-sys/lightgbm/examples/binary_classification/binary.train")
+ Dataset::from_file("lightgbm-sys/lightgbm/examples/binary_classification/binary.train")
  }
 
  fn _train_booster(params: &Value) -> Booster {
  let dataset = _read_train_file().unwrap();
- Booster::train(dataset, &params).unwrap()
+ Booster::train(dataset, params).unwrap()
  }
 
  fn _default_params() -> Value {
@@ -309,13 +309,13 @@ mod tests {
  fn save_file() {
  let params = _default_params();
  let bst = _train_booster(&params);
- assert_eq!(bst.save_file(&"./test/test_save_file.output"), Ok(()));
+ assert_eq!(bst.save_file("./test/test_save_file.output"), Ok(()));
  assert!(Path::new("./test/test_save_file.output").exists());
  let _ = fs::remove_file("./test/test_save_file.output");
  }
 
  #[test]
  fn from_file() {
- let _ = Booster::from_file(&"./test/test_from_file.input");
+ let _ = Booster::from_file("./test/test_from_file.input");
  }
 }

src/dataset.rs

@@ -248,7 +248,7 @@ impl Drop for Dataset {
 mod tests {
  use super::*;
  fn read_train_file() -> Result<Dataset> {
- Dataset::from_file(&"lightgbm-sys/lightgbm/examples/binary_classification/binary.train")
+ Dataset::from_file("lightgbm-sys/lightgbm/examples/binary_classification/binary.train")
  }
 
  #[test]