FM / numpy

/usr/include/boost/python/numpy

Name	Size	Mode	Actions
config.hpp	2540	0644	edit dl rm
dtype.hpp	3636	0644	edit dl rm
internal.hpp	1146	0644	edit dl rm
invoke_matching.hpp	4849	0644	edit dl rm
matrix.hpp	2634	0644	edit dl rm
ndarray.hpp	10900	0644	edit dl rm
numpy_object_mgr_traits.hpp	1303	0644	edit dl rm
scalars.hpp	1598	0644	edit dl rm
ufunc.hpp	6725	0644	edit dl rm

Edit: /usr/include/boost/python/numpy/scalars.hpp (1598B)

// 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 BOOST_NUMPY_DECL 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

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