refactor: format

Author: ivan-aksamentov

packages/treetime-convolution/src/testing/test_suites/gaussian_exponential.rs

@@ -32,30 +32,32 @@ impl TestSuite for GaussianExponentialTestSuite {
   }
 
   fn create_test_cases(&self) -> Vec<Self::TestCase> {
-    vec![GaussianExponentialTestCase {
-      name: "python_notebook_case".to_owned(),
-      description: "Parameters from conv_gauss_exp.ipynb: a_f=0.5".to_owned(),
-      stress_type: "reference implementation validation".to_owned(),
-      analytical_caution: "none".to_owned(),
-      slowness: 0.0,
-      a_f: 0.5,
-      input_grid_domain: (-5.0, 40.0),
-      input_grid_n_points: 101,
-      output_grid_domain: (-5.0, 25.0),
-      output_grid_n_points: 101,
-    },
-    GaussianExponentialTestCase {
-      name: "python_notebook_case_fine".to_owned(),
-      description: "Parameters from conv_gauss_exp.ipynb: a_f=0.5".to_owned(),
-      stress_type: "reference implementation validation".to_owned(),
-      analytical_caution: "none".to_owned(),
-      slowness: 0.0,
-      a_f: 0.5,
-      input_grid_domain: (-5.0, 40.0),
-      input_grid_n_points: 501,
-      output_grid_domain: (-5.0, 25.0),
-      output_grid_n_points: 101,
-    }]
+    vec![
+      GaussianExponentialTestCase {
+        name: "python_notebook_case".to_owned(),
+        description: "Parameters from conv_gauss_exp.ipynb: a_f=0.5".to_owned(),
+        stress_type: "reference implementation validation".to_owned(),
+        analytical_caution: "none".to_owned(),
+        slowness: 0.0,
+        a_f: 0.5,
+        input_grid_domain: (-5.0, 40.0),
+        input_grid_n_points: 101,
+        output_grid_domain: (-5.0, 25.0),
+        output_grid_n_points: 101,
+      },
+      GaussianExponentialTestCase {
+        name: "python_notebook_case_fine".to_owned(),
+        description: "Parameters from conv_gauss_exp.ipynb: a_f=0.5".to_owned(),
+        stress_type: "reference implementation validation".to_owned(),
+        analytical_caution: "none".to_owned(),
+        slowness: 0.0,
+        a_f: 0.5,
+        input_grid_domain: (-5.0, 40.0),
+        input_grid_n_points: 501,
+        output_grid_domain: (-5.0, 25.0),
+        output_grid_n_points: 101,
+      },
+    ]
   }
 }