blob: 0ba23c41acdd6e6226a10e560cba31a7c9fc3fac (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
|
// 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_scalars_hpp_
#define boost_python_numpy_scalars_hpp_
/**
* @brief Object managers for array scalars (currently only numpy.void is implemented).
*/
#include <boost/python.hpp>
#include <boost/python/numpy/numpy_object_mgr_traits.hpp>
#include <boost/python/numpy/dtype.hpp>
namespace boost { namespace python { namespace numpy {
/**
* @brief A boost.python "object manager" (subclass of object) for numpy.void.
*
* @todo This could have a lot more functionality.
*/
class void_ : public object
{
static python::detail::new_reference convert(object_cref arg, bool align);
public:
/**
* @brief Construct a new array scalar with the given size and void dtype.
*
* Data is initialized to zero. One can create a standalone scalar object
* with a certain dtype "dt" with:
* @code
* void_ scalar = void_(dt.get_itemsize()).view(dt);
* @endcode
*/
explicit void_(Py_ssize_t size);
BOOST_PYTHON_FORWARD_OBJECT_CONSTRUCTORS(void_, object);
/// @brief Return a view of the scalar with the given dtype.
void_ view(dtype const & dt) const;
/// @brief Copy the scalar (deep for all non-object fields).
void_ copy() const;
};
} // namespace boost::python::numpy
namespace converter
{
NUMPY_OBJECT_MANAGER_TRAITS(numpy::void_);
}}} // namespace boost::python::converter
#endif
|
