fix: formatting

src/cluster/kmeans.rs

@@ -60,8 +60,8 @@ use std::iter::Sum;
 
 use serde::{Deserialize, Serialize};
 
-use crate::error::{FitFailedError, PredictFailedError};
 use crate::algorithm::neighbour::bbd_tree::BBDTree;
+use crate::error::{FitFailedError, PredictFailedError};
 use crate::linalg::Matrix;
 use crate::math::distance::euclidian::*;
 use crate::math::num::RealNumber;
@@ -118,15 +118,23 @@ impl<T: RealNumber + Sum> KMeans<T> {
     /// * `data` - training instances to cluster
     /// * `k` - number of clusters
     /// * `parameters` - cluster parameters
-    pub fn fit<M: Matrix<T>>(data: &M, k: usize, parameters: KMeansParameters) -> Result<KMeans<T>, FitFailedError> {
+    pub fn fit<M: Matrix<T>>(
+        data: &M,
+        k: usize,
+        parameters: KMeansParameters,
+    ) -> Result<KMeans<T>, FitFailedError> {
         let bbd = BBDTree::new(data);
 
         if k < 2 {
-            return Err(FitFailedError::new(&format!("Invalid number of clusters: {}", k)));
+            return Err(FitFailedError::new(&format!(
+                "Invalid number of clusters: {}",
+                k
+            )));
         }
 
         if parameters.max_iter <= 0 {
-            return Err(FitFailedError::new(&format!("Invalid maximum number of iterations: {}",
+            return Err(FitFailedError::new(&format!(
+                "Invalid maximum number of iterations: {}",
                 parameters.max_iter
             )));
         }
@@ -264,16 +272,17 @@ mod tests {
 
     #[test]
     fn invalid_k() {
-        let x = DenseMatrix::from_2d_array(&[
-            &[1., 2., 3.],
-            &[4., 5., 6.],           
-        ]);
+        let x = DenseMatrix::from_2d_array(&[&[1., 2., 3.], &[4., 5., 6.]]);
 
         println!("{:?}", KMeans::fit(&x, 0, Default::default()));
 
-        assert!(KMeans::fit(&x, 0, Default::default()).is_err());                
-        assert_eq!("Invalid number of clusters: 1", KMeans::fit(&x, 1, Default::default()).unwrap_err().to_string());
-
+        assert!(KMeans::fit(&x, 0, Default::default()).is_err());
+        assert_eq!(
+            "Invalid number of clusters: 1",
+            KMeans::fit(&x, 1, Default::default())
+                .unwrap_err()
+                .to_string()
+        );
     }
 
     #[test]