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matrix.hpp
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// Copyright Jim Bosch 2010-2012. // Copyright Stefan Seefeld 2016. // Distributed under the Boost Software License, Version 1.0. // (See accompanying file LICENSE_1_0.txt or copy at // http://www.boost.org/LICENSE_1_0.txt) #ifndef boost_python_numpy_matrix_hpp_ #define boost_python_numpy_matrix_hpp_ /** * @brief Object manager for numpy.matrix. */ #include <boost/python.hpp> #include <boost/python/numpy/numpy_object_mgr_traits.hpp> #include <boost/python/numpy/ndarray.hpp> #include <boost/python/numpy/config.hpp> namespace boost { namespace python { namespace numpy { /** * @brief A boost.python "object manager" (subclass of object) for numpy.matrix. * * @internal numpy.matrix is defined in Python, so object_manager_traits<matrix>::get_pytype() * is implemented by importing numpy and getting the "matrix" attribute of the module. * We then just hope that doesn't get destroyed while we need it, because if we put * a dynamic python object in a static-allocated boost::python::object or handle<>, * bad things happen when Python shuts down. I think this solution is safe, but I'd * love to get that confirmed. */ class BOOST_NUMPY_DECL matrix : public ndarray { static object construct(object_cref obj, dtype const & dt, bool copy); static object construct(object_cref obj, bool copy); public: BOOST_PYTHON_FORWARD_OBJECT_CONSTRUCTORS(matrix, ndarray); /// @brief Equivalent to "numpy.matrix(obj,dt,copy)" in Python. explicit matrix(object const & obj, dtype const & dt, bool copy=true) : ndarray(extract<ndarray>(construct(obj, dt, copy))) {} /// @brief Equivalent to "numpy.matrix(obj,copy=copy)" in Python. explicit matrix(object const & obj, bool copy=true) : ndarray(extract<ndarray>(construct(obj, copy))) {} /// \brief Return a view of the matrix with the given dtype. matrix view(dtype const & dt) const; /// \brief Copy the scalar (deep for all non-object fields). matrix copy() const; /// \brief Transpose the matrix. matrix transpose() const; }; /** * @brief CallPolicies that causes a function that returns a numpy.ndarray to * return a numpy.matrix instead. */ template <typename Base = default_call_policies> struct as_matrix : Base { static PyObject * postcall(PyObject *, PyObject * result) { object a = object(handle<>(result)); numpy::matrix m(a, false); Py_INCREF(m.ptr()); return m.ptr(); } }; } // namespace boost::python::numpy namespace converter { NUMPY_OBJECT_MANAGER_TRAITS(numpy::matrix); }}} // namespace boost::python::converter #endif