Fmt.

src/factor_graph.rs

@@ -234,16 +234,17 @@ impl SumFactor {
         fy: Vec<Gaussian>,
         a: &[f64],
     ) {
-        let (sum_pi, sum_tau) = a.iter()
-            .zip(y.iter().zip(fy.iter()))
-            .fold((0.0, 0.0f64), |(pi, tau), (a, (y, fy))| {
-                let x = *y / *fy;
+        let (sum_pi, sum_tau) =
+            a.iter()
+                .zip(y.iter().zip(fy.iter()))
+                .fold((0.0, 0.0f64), |(pi, tau), (a, (y, fy))| {
+                    let x = *y / *fy;
 
-                let new_pi = a.powi(2) / x.pi();
-                let new_tau = a * x.mu();
+                    let new_pi = a.powi(2) / x.pi();
+                    let new_tau = a * x.mu();
 
-                (pi + new_pi, tau + new_tau)
-            });
+                    (pi + new_pi, tau + new_tau)
+                });
 
         let new_pi = 1.0 / sum_pi;
         let new_tau = new_pi * sum_tau;
@@ -285,10 +286,12 @@ impl SumFactor {
             .coeffs
             .iter()
             .enumerate()
-            .map(|(i, coeff)| if i == index {
-                1.0 / idx_coeff
-            } else {
-                -coeff / idx_coeff
+            .map(|(i, coeff)| {
+                if i == index {
+                    1.0 / idx_coeff
+                } else {
+                    -coeff / idx_coeff
+                }
             })
             .collect::<Vec<_>>();
 

src/gaussian.rs

@@ -9,7 +9,14 @@ pub struct Gaussian {
 
 impl fmt::Debug for Gaussian {
     fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
-        write!(f, "N(mu={:.03}, sigma={:.03}, pi={:.03}, tau={:.03})", self.mu(), self.sigma(), self.pi(), self.tau())
+        write!(
+            f,
+            "N(mu={:.03}, sigma={:.03}, pi={:.03}, tau={:.03})",
+            self.mu(),
+            self.sigma(),
+            self.pi(),
+            self.tau()
+        )
     }
 }
 

src/lib.rs

@@ -536,7 +536,6 @@ mod tests {
         let ratings = vec![
             (Rating::new(42.234, 3.728), 0),
             (Rating::new(43.290, 3.842), 0),
-
             (Rating::new(16.667, 0.500), 1),
             (Rating::new(16.667, 0.500), 1),
             (Rating::new(16.667, 0.500), 1),
@@ -556,7 +555,6 @@ mod tests {
         let expected_ratings = vec![
             Rating::new(49.04740037944730, 3.64544755829110),
             Rating::new(50.52625967591528, 3.75146367648882),
-
             Rating::new(16.54109749124066, 0.50668947816812),
             Rating::new(16.54109749124066, 0.50668947816812),
             Rating::new(16.54109749124066, 0.50668947816812),
@@ -573,11 +571,7 @@ mod tests {
             Rating::new(16.54109749124066, 0.50668947816812),
         ];
 
-        let ratings = rate(
-            ratings.as_ref(),
-            &[0, 1],
-            DELTA,
-        );
+        let ratings = rate(ratings.as_ref(), &[0, 1], DELTA);
 
         for (rating, expected) in ratings.iter().zip(expected_ratings.iter()) {
             assert_relative_eq!(rating, expected, epsilon = EPSILON);
@@ -603,7 +597,6 @@ mod tests {
             (Rating::new(25.000, 0.500), 0),
             (Rating::new(25.000, 0.500), 0),
             (Rating::new(25.000, 0.500), 0),
-
             (Rating::new(42.234, 3.728), 1),
             (Rating::new(43.290, 3.842), 1),
         ];
@@ -623,16 +616,11 @@ mod tests {
             Rating::new(25.00000000000000, 0.50689687752485),
             Rating::new(25.00000000000000, 0.50689687752485),
             Rating::new(25.00000000000000, 0.50689687752485),
-
             Rating::new(42.23400000000000, 3.72893127376255),
             Rating::new(43.29000000000000, 3.84290364756188),
         ];
 
-        let ratings = rate(
-            ratings.as_ref(),
-            &[0, 1],
-            DELTA,
-        );
+        let ratings = rate(ratings.as_ref(), &[0, 1], DELTA);
 
         for (rating, expected) in ratings.iter().zip(expected_ratings.iter()) {
             assert_relative_eq!(rating, expected, epsilon = EPSILON);