]> git.proxmox.com Git - ceph.git/blame - ceph/src/boost/libs/python/include/boost/python/numpy/matrix.hpp
bump version to 12.2.2-pve1
[ceph.git] / ceph / src / boost / libs / python / include / boost / python / numpy / matrix.hpp
CommitLineData
7c673cae
FG
1// Copyright Jim Bosch 2010-2012.
2// Copyright Stefan Seefeld 2016.
3// Distributed under the Boost Software License, Version 1.0.
4// (See accompanying file LICENSE_1_0.txt or copy at
5// http://www.boost.org/LICENSE_1_0.txt)
6
7#ifndef boost_python_numpy_matrix_hpp_
8#define boost_python_numpy_matrix_hpp_
9
10/**
11 * @brief Object manager for numpy.matrix.
12 */
13
14#include <boost/python.hpp>
15#include <boost/python/numpy/numpy_object_mgr_traits.hpp>
16#include <boost/python/numpy/ndarray.hpp>
17
18namespace boost { namespace python { namespace numpy {
19
20/**
21 * @brief A boost.python "object manager" (subclass of object) for numpy.matrix.
22 *
23 * @internal numpy.matrix is defined in Python, so object_manager_traits<matrix>::get_pytype()
24 * is implemented by importing numpy and getting the "matrix" attribute of the module.
25 * We then just hope that doesn't get destroyed while we need it, because if we put
26 * a dynamic python object in a static-allocated boost::python::object or handle<>,
27 * bad things happen when Python shuts down. I think this solution is safe, but I'd
28 * love to get that confirmed.
29 */
30class matrix : public ndarray
31{
32 static object construct(object_cref obj, dtype const & dt, bool copy);
33 static object construct(object_cref obj, bool copy);
34public:
35
36 BOOST_PYTHON_FORWARD_OBJECT_CONSTRUCTORS(matrix, ndarray);
37
38 /// @brief Equivalent to "numpy.matrix(obj,dt,copy)" in Python.
39 explicit matrix(object const & obj, dtype const & dt, bool copy=true)
40 : ndarray(extract<ndarray>(construct(obj, dt, copy))) {}
41
42 /// @brief Equivalent to "numpy.matrix(obj,copy=copy)" in Python.
43 explicit matrix(object const & obj, bool copy=true)
44 : ndarray(extract<ndarray>(construct(obj, copy))) {}
45
46 /// \brief Return a view of the matrix with the given dtype.
47 matrix view(dtype const & dt) const;
48
49 /// \brief Copy the scalar (deep for all non-object fields).
50 matrix copy() const;
51
52 /// \brief Transpose the matrix.
53 matrix transpose() const;
54
55};
56
57/**
58 * @brief CallPolicies that causes a function that returns a numpy.ndarray to
59 * return a numpy.matrix instead.
60 */
61template <typename Base = default_call_policies>
62struct as_matrix : Base
63{
64 static PyObject * postcall(PyObject *, PyObject * result)
65 {
66 object a = object(handle<>(result));
67 numpy::matrix m(a, false);
68 Py_INCREF(m.ptr());
69 return m.ptr();
70 }
71};
72
73} // namespace boost::python::numpy
74
75namespace converter
76{
77
78NUMPY_OBJECT_MANAGER_TRAITS(numpy::matrix);
79
80}}} // namespace boost::python::converter
81
82#endif