Committing clang-format changes

vortexntnu · Jan 30, 2024 · 995a071 · 995a071
1 parent fef9244
commit 995a071
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Showing 3 changed files with 5 additions and 10 deletions.
diff --git a/vortex-filtering/include/vortex_filtering/filters/ukf.hpp b/vortex-filtering/include/vortex_filtering/filters/ukf.hpp
@@ -66,11 +66,11 @@ template <models::concepts::DynamicModel DynModT, models::concepts::SensorModel
   using Gauss_x = prob::MultiVarGauss<N_DIM_x>;
   using Gauss_z = prob::MultiVarGauss<N_DIM_z>;
 
-  static constexpr int N_DIM_a = N_DIM_x + N_DIM_v + N_DIM_w; // Augmented state dimension
-  static constexpr size_t N_SIGMA_POINTS = 2 * N_DIM_a + 1;   // Number of sigma points
+  static constexpr int N_DIM_a           = N_DIM_x + N_DIM_v + N_DIM_w; // Augmented state dimension
+  static constexpr size_t N_SIGMA_POINTS = 2 * N_DIM_a + 1;             // Number of sigma points
 
-  using Vec_a     = Eigen::Vector<double, N_DIM_a>;                  // Augmented state vector
-  using Mat_aa    = Eigen::Matrix<double, N_DIM_a, N_DIM_a>;         // Augmented state covariance matrix
+  using Vec_a     = Eigen::Vector<double, N_DIM_a>;                 // Augmented state vector
+  using Mat_aa    = Eigen::Matrix<double, N_DIM_a, N_DIM_a>;        // Augmented state covariance matrix
   using Mat_x2ap1 = Eigen::Matrix<double, N_DIM_x, N_SIGMA_POINTS>; // Matrix for sigma points of x
   using Mat_z2ap1 = Eigen::Matrix<double, N_DIM_z, N_SIGMA_POINTS>; // Matrix for sigma points of z
   using Mat_a2ap1 = Eigen::Matrix<double, N_DIM_a, N_SIGMA_POINTS>; // Matrix for sigma points of a
@@ -100,7 +100,6 @@ template <models::concepts::DynamicModel DynModT, models::concepts::SensorModel
     return W_c;
   }();
 
-
   UKF() = delete;
 
 private:

diff --git a/vortex-filtering/include/vortex_filtering/models/dynamic_model_interfaces.hpp b/vortex-filtering/include/vortex_filtering/models/dynamic_model_interfaces.hpp
@@ -87,7 +87,6 @@ template <size_t n_dim_x, size_t n_dim_u = n_dim_x, size_t n_dim_v = n_dim_x> cl
     Gauss_v v = {Vec_v::Zero(), Q_d(dt, x)};
     return f_d(dt, x, u, v.sample(gen));
   }
-
 };
 
 /**

diff --git a/vortex-filtering/include/vortex_filtering/probability/poisson.hpp b/vortex-filtering/include/vortex_filtering/probability/poisson.hpp
@@ -45,10 +45,7 @@ class Poisson {
    * @param x
    * @return double factorial
    */
-  static constexpr double factorial(int x)
-  {
-    return (x == 1 || x == 0) ? 1 : factorial(x - 1) * x;
-  }
+  static constexpr double factorial(int x) { return (x == 1 || x == 0) ? 1 : factorial(x - 1) * x; }
 };
 
 } // namespace vortex::prob
-Original file line number
+Diff line change
@@ Expand Up @@
         Gauss_v v = {Vec_v::Zero(), Q_d(dt, x)};
         return f_d(dt, x, u, v.sample(gen));
       }
     };
     /**
@@ Expand Down @@