Merge pull request #151 from jcarpent/devel

Fix issues when compiling in Release mode

Author: jcarpent

include/eigenpy/details.hpp

@@ -17,95 +17,6 @@
 #include "eigenpy/map.hpp"
 #include "eigenpy/exception.hpp"
 
-namespace boost { namespace python { namespace detail {
-
-  template<class MatType>
-  struct referent_size<Eigen::MatrixBase<MatType>&>
-  {
-      BOOST_STATIC_CONSTANT(
-          std::size_t, value = sizeof(MatType));
-  };
-
-  template<class MatType>
-  struct referent_size<Eigen::EigenBase<MatType>&>
-  {
-      BOOST_STATIC_CONSTANT(
-          std::size_t, value = sizeof(MatType));
-  };
-
-}}}
-
-namespace boost { namespace python { namespace converter {
-
-template<class MatType>
-struct implicit<Eigen::MatrixBase<MatType>,MatType>
-{
-  typedef Eigen::MatrixBase<MatType> Source;
-  typedef MatType Target;
-  
-  static void* convertible(PyObject* obj)
-  {
-    // Find a converter which can produce a Source instance from
-    // obj. The user has told us that Source can be converted to
-    // Target, and instantiating construct() below, ensures that
-    // at compile-time.
-    return implicit_rvalue_convertible_from_python(obj, registered<Source>::converters)
-    ? obj : 0;
-  }
-  
-  static void construct(PyObject* obj, rvalue_from_python_stage1_data* data)
-  {
-    void* storage = ((rvalue_from_python_storage<Target>*)data)->storage.bytes;
-    
-    arg_from_python<Source> get_source(obj);
-    bool convertible = get_source.convertible();
-    BOOST_VERIFY(convertible);
-    
-    new (storage) Target(get_source().derived());
-    
-    // record successful construction
-    data->convertible = storage;
-  }
-};
-
-template<class MatType>
-struct implicit<MatType,Eigen::MatrixBase<MatType> >
-{
-  typedef MatType Source;
-  typedef Eigen::MatrixBase<MatType> Target;
-  
-  static void* convertible(PyObject* obj)
-  {
-    // Find a converter which can produce a Source instance from
-    // obj. The user has told us that Source can be converted to
-    // Target, and instantiating construct() below, ensures that
-    // at compile-time.
-    return implicit_rvalue_convertible_from_python(obj, registered<Source>::converters)
-    ? obj : 0;
-  }
-  
-  static void construct(PyObject* obj, rvalue_from_python_stage1_data* data)
-  {
-    void* storage = reinterpret_cast<rvalue_from_python_storage<Target>*>
-                   (reinterpret_cast<void*>(data))->storage.bytes;
-    
-    arg_from_python<Source> get_source(obj);
-    bool convertible = get_source.convertible();
-    BOOST_VERIFY(convertible);
-    
-    new (storage) Source(get_source());
-    
-    // record successful construction
-    data->convertible = storage;
-  }
-};
-
-template<class MatType>
-struct implicit<MatType,Eigen::EigenBase<MatType> > : implicit<MatType,Eigen::MatrixBase<MatType> >
-{};
-
-}}} // namespace boost::python::converter
-
 #define GET_PY_ARRAY_TYPE(array) PyArray_ObjectType(reinterpret_cast<PyObject *>(array), 0)
 
 namespace eigenpy
@@ -692,12 +603,39 @@ namespace eigenpy
 
       // Add also conversion to Eigen::MatrixBase<MatType>
       typedef Eigen::MatrixBase<MatType> MatrixBase;
-//      bp::implicitly_convertible<MatTypeBase,MatType>();
-      bp::implicitly_convertible<MatType,MatrixBase>();
-      
+      EigenFromPy<MatrixBase>::registration();
+
       // Add also conversion to Eigen::EigenBase<MatType>
       typedef Eigen::EigenBase<MatType> EigenBase;
-      bp::implicitly_convertible<MatType,EigenBase>();
+      EigenFromPy<EigenBase>::registration();
+    }
+  };
+
+  template<typename MatType>
+  struct EigenFromPy< Eigen::MatrixBase<MatType> > : EigenFromPy<MatType>
+  {
+    typedef EigenFromPy<MatType> EigenFromPyDerived;
+    typedef Eigen::MatrixBase<MatType> Base;
+
+    static void registration()
+    {
+      bp::converter::registry::push_back
+      (reinterpret_cast<void *(*)(_object *)>(&EigenFromPy::convertible),
+       &EigenFromPy::construct,bp::type_id<Base>());
+    }
+  };
+    
+  template<typename MatType>
+  struct EigenFromPy< Eigen::EigenBase<MatType> > : EigenFromPy<MatType>
+  {
+    typedef EigenFromPy<MatType> EigenFromPyDerived;
+    typedef Eigen::EigenBase<MatType> Base;
+
+    static void registration()
+    {
+      bp::converter::registry::push_back
+      (reinterpret_cast<void *(*)(_object *)>(&EigenFromPy::convertible),
+       &EigenFromPy::construct,bp::type_id<Base>());
     }
   };
 

include/eigenpy/utils/is-approx.hpp

@@ -10,11 +10,17 @@
 namespace eigenpy
 {
   template<typename MatrixType1, typename MatrixType2>
-  inline bool is_approx(const Eigen::MatrixBase<MatrixType1> & mat1,
-                        const Eigen::MatrixBase<MatrixType2> & mat2,
-                        const typename MatrixType1::Scalar & prec = Eigen::NumTraits<typename MatrixType1::Scalar>::dummy_precision())
+  inline EIGEN_DONT_INLINE bool is_approx(const MatrixType1 & mat1,
+                                          const MatrixType2 & mat2,
+                                          const typename MatrixType1::Scalar & prec)
   {
-    return mat1.isApprox(mat2,prec);
+    return mat1.derived().isApprox(mat2.derived(),prec);
+  }
+
+  template<typename MatrixType1, typename MatrixType2>
+  inline bool is_approx(const MatrixType1 & mat1, const MatrixType2 & mat2)
+  {
+    return is_approx(mat1,mat2,Eigen::NumTraits<typename MatrixType1::Scalar>::dummy_precision());
   }
 }
 

package.xml

@@ -1,7 +1,7 @@
 <?xml version="1.0"?>
 <package format="2">
   <name>eigenpy</name>
-  <version>1.6.13</version>
+  <version>2.0.0</version>
   <description>Bindings between Numpy and Eigen using Boost.Python</description>
   <maintainer email="[email protected]">Justin Carpentier</maintainer>
   <maintainer email="[email protected]">Wolfgang Merkt</maintainer>

python/main.cpp

@@ -17,24 +17,8 @@
 
 #include <boost/python/scope.hpp>
 
-#define DEFINE_IS_APPROX(MatType) \
-  BOOST_PYTHON_FUNCTION_OVERLOADS(is_approx_overload##MatType,eigenpy::is_approx,2,3)
-
-#define EXPOSE_IS_APPROX(MatType) \
-  bp::def("is_approx", \
-          (bool (*)(const Eigen::MatrixBase<MatType> &, \
-                    const Eigen::MatrixBase<MatType> &, \
-                    const MatType::Scalar &))eigenpy::is_approx<MatType,MatType>, \
-                    is_approx_overload##MatType(bp::args("A","B","prec"), \
-          "Returns True if A is approximately equal to B, within the precision determined by prec."))
-
-
 using namespace eigenpy;
 
-DEFINE_IS_APPROX(MatrixXd)
-DEFINE_IS_APPROX(MatrixXf)
-
-
 BOOST_PYTHON_MODULE(eigenpy)
 {
   namespace bp = boost::python;
@@ -62,8 +46,15 @@ BOOST_PYTHON_MODULE(eigenpy)
 
   {
     using namespace Eigen;
-    EXPOSE_IS_APPROX(MatrixXd);
-    EXPOSE_IS_APPROX(MatrixXf);
+    bp::def("is_approx",(bool (*)(const MatrixXd &, const MatrixXd &, const double &))&is_approx<MatrixXd,MatrixXd>,
+            bp::args("A","B","prec"),
+            "Returns True if A is approximately equal to B, within the precision determined by prec.");
+    bp::def("is_approx",(bool (*)(const MatrixXd &, const MatrixXd &))&is_approx<MatrixXd,MatrixXd>,
+            bp::args("A","B"),
+    "Returns True if A is approximately equal to B..");
+    
+//    EXPOSE_IS_APPROX(MatrixXd);
+//    EXPOSE_IS_APPROX(MatrixXf);
   }
 
   exposeDecompositions();