[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

include/eigenpy/alignment.hpp

@@ -23,23 +23,23 @@ struct aligned_storage {
 
 template <class Data>
 struct aligned_instance {
-  PyObject_VAR_HEAD PyObject *dict;
-  PyObject *weakrefs;
-  boost::python::instance_holder *objects;
+  PyObject_VAR_HEAD PyObject* dict;
+  PyObject* weakrefs;
+  boost::python::instance_holder* objects;
 
   typename aligned_storage<sizeof(Data)>::type storage;
 };
 
-inline void *aligned_malloc(
+inline void* aligned_malloc(
     std::size_t size, std::size_t alignment = EIGENPY_DEFAULT_ALIGN_BYTES) {
-  void *original = std::malloc(size + alignment);
+  void* original = std::malloc(size + alignment);
   if (original == 0) return 0;
   if (is_aligned(original, alignment)) return original;
-  void *aligned =
-      reinterpret_cast<void *>((reinterpret_cast<std::size_t>(original) &
-                                ~(std::size_t(alignment - 1))) +
-                               alignment);
-  *(reinterpret_cast<void **>(aligned) - 1) = original;
+  void* aligned =
+      reinterpret_cast<void*>((reinterpret_cast<std::size_t>(original) &
+                               ~(std::size_t(alignment - 1))) +
+                              alignment);
+  *(reinterpret_cast<void**>(aligned) - 1) = original;
   return aligned;
 }
 
@@ -52,50 +52,50 @@ namespace detail {
 template <typename Scalar, int Rows, int Cols, int Options, int MaxRows,
           int MaxCols>
 struct referent_storage<
-    Eigen::Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> &> {
+    Eigen::Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols>&> {
   typedef Eigen::Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> T;
   typedef
-      typename eigenpy::aligned_storage<referent_size<T &>::value>::type type;
+      typename eigenpy::aligned_storage<referent_size<T&>::value>::type type;
 };
 
 template <typename Scalar, int Rows, int Cols, int Options, int MaxRows,
           int MaxCols>
 struct referent_storage<
-    const Eigen::Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> &> {
+    const Eigen::Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols>&> {
   typedef Eigen::Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> T;
   typedef
-      typename eigenpy::aligned_storage<referent_size<T &>::value>::type type;
+      typename eigenpy::aligned_storage<referent_size<T&>::value>::type type;
 };
 
 #ifdef EIGENPY_WITH_TENSOR_SUPPORT
 template <typename Scalar, int Rank, int Options, typename IndexType>
-struct referent_storage<Eigen::Tensor<Scalar, Rank, Options, IndexType> &> {
+struct referent_storage<Eigen::Tensor<Scalar, Rank, Options, IndexType>&> {
   typedef Eigen::Tensor<Scalar, Rank, Options, IndexType> T;
   typedef
-      typename eigenpy::aligned_storage<referent_size<T &>::value>::type type;
+      typename eigenpy::aligned_storage<referent_size<T&>::value>::type type;
 };
 
 template <typename Scalar, int Rank, int Options, typename IndexType>
 struct referent_storage<
-    const Eigen::Tensor<Scalar, Rank, Options, IndexType> &> {
+    const Eigen::Tensor<Scalar, Rank, Options, IndexType>&> {
   typedef Eigen::Tensor<Scalar, Rank, Options, IndexType> T;
   typedef
-      typename eigenpy::aligned_storage<referent_size<T &>::value>::type type;
+      typename eigenpy::aligned_storage<referent_size<T&>::value>::type type;
 };
 #endif
 
 template <typename Scalar, int Options>
-struct referent_storage<Eigen::Quaternion<Scalar, Options> &> {
+struct referent_storage<Eigen::Quaternion<Scalar, Options>&> {
   typedef Eigen::Quaternion<Scalar, Options> T;
   typedef
-      typename eigenpy::aligned_storage<referent_size<T &>::value>::type type;
+      typename eigenpy::aligned_storage<referent_size<T&>::value>::type type;
 };
 
 template <typename Scalar, int Options>
-struct referent_storage<const Eigen::Quaternion<Scalar, Options> &> {
+struct referent_storage<const Eigen::Quaternion<Scalar, Options>&> {
   typedef Eigen::Quaternion<Scalar, Options> T;
   typedef
-      typename eigenpy::aligned_storage<referent_size<T &>::value>::type type;
+      typename eigenpy::aligned_storage<referent_size<T&>::value>::type type;
 };
 
 }  // namespace detail
@@ -119,10 +119,10 @@ namespace eigenpy {
 
 template <class T>
 struct call_destructor {
-  static void run(void *bytes) {
+  static void run(void* bytes) {
     typedef typename boost::remove_const<
         typename boost::remove_reference<T>::type>::type T_;
-    static_cast<T_ *>((void *)bytes)->~T_();
+    static_cast<T_*>((void*)bytes)->~T_();
   }
 };
 
@@ -143,22 +143,22 @@ struct rvalue_from_python_data
 
   // The usual constructor
   rvalue_from_python_data(
-      ::boost::python::converter::rvalue_from_python_stage1_data const
-          &_stage1) {
+      ::boost::python::converter::rvalue_from_python_stage1_data const&
+          _stage1) {
     this->stage1 = _stage1;
   }
 
   // This constructor just sets m_convertible -- used by
   // implicitly_convertible<> to perform the final step of the
   // conversion, where the construct() function is already known.
-  rvalue_from_python_data(void *convertible) {
+  rvalue_from_python_data(void* convertible) {
     this->stage1.convertible = convertible;
   }
 
   // Destroys any object constructed in the storage.
   ~rvalue_from_python_data() {
     if (this->stage1.convertible == this->storage.bytes) {
-      void *storage = reinterpret_cast<void *>(this->storage.bytes);
+      void* storage = reinterpret_cast<void*>(this->storage.bytes);
       call_destructor<T>::run(storage);
     }
   }

include/eigenpy/decompositions/BDCSVD.hpp

@@ -23,7 +23,7 @@ struct BDCSVDVisitor
   typedef typename MatrixType::Scalar Scalar;
 
   template <class PyClass>
-  void visit(PyClass &cl) const {
+  void visit(PyClass& cl) const {
     cl.def(bp::init<>(bp::arg("self"), "Default constructor"))
         .def(bp::init<Eigen::DenseIndex, Eigen::DenseIndex,
                       bp::optional<unsigned int>>(
@@ -37,7 +37,7 @@ struct BDCSVDVisitor
              "Returns the number of columns. ")
         .def(
             "compute",
-            +[](Solver &self, const MatrixType &matrix) -> Solver & {
+            +[](Solver& self, const MatrixType& matrix) -> Solver& {
               return self.compute(matrix);
             },
             bp::args("self", "matrix"),
@@ -48,8 +48,8 @@ struct BDCSVDVisitor
             bp::return_self<>())
         .def(
             "compute",
-            +[](Solver &self, const MatrixType &matrix,
-                unsigned int computationOptions) -> Solver & {
+            +[](Solver& self, const MatrixType& matrix,
+                unsigned int computationOptions) -> Solver& {
               return self.compute(matrix, computationOptions);
             },
             bp::args("self", "matrix", "computationOptions"),
@@ -69,7 +69,7 @@ struct BDCSVDVisitor
     expose(classname);
   }
 
-  static void expose(const std::string &name) {
+  static void expose(const std::string& name) {
     bp::class_<Solver, boost::noncopyable>(
         name.c_str(),
         "Class Bidiagonal Divide and Conquer SVD.\n\n"

include/eigenpy/decompositions/ColPivHouseholderQR.hpp

@@ -28,7 +28,7 @@ struct ColPivHouseholderQRSolverVisitor
   typedef Solver Self;
 
   template <class PyClass>
-  void visit(PyClass &cl) const {
+  void visit(PyClass& cl) const {
     cl.def(bp::init<>(bp::arg("self"),
                       "Default constructor.\n"
                       "The default constructor is useful in cases in which the "
@@ -107,7 +107,7 @@ struct ColPivHouseholderQRSolverVisitor
              "you can control by calling setThreshold(threshold).")
 
         .def("setThreshold",
-             (Self & (Self::*)(const RealScalar &)) & Self::setThreshold,
+             (Self & (Self::*)(const RealScalar&)) & Self::setThreshold,
              bp::args("self", "threshold"),
              "Allows to prescribe a threshold to be used by certain methods, "
              "such as rank(), who need to determine when pivots are to be "
@@ -138,7 +138,7 @@ struct ColPivHouseholderQRSolverVisitor
 
         .def(
             "compute",
-            (Solver & (Solver::*)(const Eigen::EigenBase<MatrixType> &matrix)) &
+            (Solver & (Solver::*)(const Eigen::EigenBase<MatrixType>& matrix)) &
                 Solver::compute,
             bp::args("self", "matrix"),
             "Computes the QR factorization of given matrix.",
@@ -159,7 +159,7 @@ struct ColPivHouseholderQRSolverVisitor
     expose(classname);
   }
 
-  static void expose(const std::string &name) {
+  static void expose(const std::string& name) {
     bp::class_<Solver>(
         name.c_str(),
         "This class performs a rank-revealing QR decomposition of a matrix A "
@@ -178,10 +178,10 @@ struct ColPivHouseholderQRSolverVisitor
 
  private:
   template <typename MatrixOrVector>
-  static MatrixOrVector solve(const Solver &self, const MatrixOrVector &vec) {
+  static MatrixOrVector solve(const Solver& self, const MatrixOrVector& vec) {
     return self.solve(vec);
   }
-  static MatrixXs inverse(const Self &self) { return self.inverse(); }
+  static MatrixXs inverse(const Self& self) { return self.inverse(); }
 };
 
 }  // namespace eigenpy

include/eigenpy/decompositions/CompleteOrthogonalDecomposition.hpp

@@ -28,7 +28,7 @@ struct CompleteOrthogonalDecompositionSolverVisitor
   typedef Solver Self;
 
   template <class PyClass>
-  void visit(PyClass &cl) const {
+  void visit(PyClass& cl) const {
     cl.def(bp::init<>(bp::arg("self"),
                       "Default constructor.\n"
                       "The default constructor is useful in cases in which the "
@@ -117,7 +117,7 @@ struct CompleteOrthogonalDecompositionSolverVisitor
              "you can control by calling setThreshold(threshold).")
 
         .def("setThreshold",
-             (Self & (Self::*)(const RealScalar &)) & Self::setThreshold,
+             (Self & (Self::*)(const RealScalar&)) & Self::setThreshold,
              bp::args("self", "threshold"),
              "Allows to prescribe a threshold to be used by certain methods, "
              "such as rank(), who need to determine when pivots are to be "
@@ -152,7 +152,7 @@ struct CompleteOrthogonalDecompositionSolverVisitor
 
         .def(
             "compute",
-            (Solver & (Solver::*)(const Eigen::EigenBase<MatrixType> &matrix)) &
+            (Solver & (Solver::*)(const Eigen::EigenBase<MatrixType>& matrix)) &
                 Solver::compute,
             bp::args("self", "matrix"),
             "Computes the complete orthogonal factorization of given matrix.",
@@ -174,7 +174,7 @@ struct CompleteOrthogonalDecompositionSolverVisitor
     expose(classname);
   }
 
-  static void expose(const std::string &name) {
+  static void expose(const std::string& name) {
     bp::class_<Solver>(
         name.c_str(),
         "This class performs a rank-revealing complete orthogonal "
@@ -190,10 +190,10 @@ struct CompleteOrthogonalDecompositionSolverVisitor
 
  private:
   template <typename MatrixOrVector>
-  static MatrixOrVector solve(const Solver &self, const MatrixOrVector &vec) {
+  static MatrixOrVector solve(const Solver& self, const MatrixOrVector& vec) {
     return self.solve(vec);
   }
-  static MatrixXs pseudoInverse(const Self &self) {
+  static MatrixXs pseudoInverse(const Self& self) {
     return self.pseudoInverse();
   }
 };

include/eigenpy/decompositions/FullPivHouseholderQR.hpp

@@ -28,7 +28,7 @@ struct FullPivHouseholderQRSolverVisitor
   typedef Solver Self;
 
   template <class PyClass>
-  void visit(PyClass &cl) const {
+  void visit(PyClass& cl) const {
     cl.def(bp::init<>(bp::arg("self"),
                       "Default constructor.\n"
                       "The default constructor is useful in cases in which the "
@@ -103,7 +103,7 @@ struct FullPivHouseholderQRSolverVisitor
              "you can control by calling setThreshold(threshold).")
 
         .def("setThreshold",
-             (Self & (Self::*)(const RealScalar &)) & Self::setThreshold,
+             (Self & (Self::*)(const RealScalar&)) & Self::setThreshold,
              bp::args("self", "threshold"),
              "Allows to prescribe a threshold to be used by certain methods, "
              "such as rank(), who need to determine when pivots are to be "
@@ -131,7 +131,7 @@ struct FullPivHouseholderQRSolverVisitor
 
         .def(
             "compute",
-            (Solver & (Solver::*)(const Eigen::EigenBase<MatrixType> &matrix)) &
+            (Solver & (Solver::*)(const Eigen::EigenBase<MatrixType>& matrix)) &
                 Solver::compute,
             bp::args("self", "matrix"),
             "Computes the QR factorization of given matrix.",
@@ -152,7 +152,7 @@ struct FullPivHouseholderQRSolverVisitor
     expose(classname);
   }
 
-  static void expose(const std::string &name) {
+  static void expose(const std::string& name) {
     bp::class_<Solver>(
         name.c_str(),
         "This class performs a rank-revealing QR decomposition of a matrix A "
@@ -172,10 +172,10 @@ struct FullPivHouseholderQRSolverVisitor
 
  private:
   template <typename MatrixOrVector>
-  static MatrixOrVector solve(const Solver &self, const MatrixOrVector &vec) {
+  static MatrixOrVector solve(const Solver& self, const MatrixOrVector& vec) {
     return self.solve(vec);
   }
-  static MatrixXs inverse(const Self &self) { return self.inverse(); }
+  static MatrixXs inverse(const Self& self) { return self.inverse(); }
 };
 
 }  // namespace eigenpy