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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>
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 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
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