summaryrefslogtreecommitdiff
path: root/boost/python/numpy/ndarray.hpp
diff options
context:
space:
mode:
Diffstat (limited to 'boost/python/numpy/ndarray.hpp')
-rw-r--r--boost/python/numpy/ndarray.hpp79
1 files changed, 48 insertions, 31 deletions
diff --git a/boost/python/numpy/ndarray.hpp b/boost/python/numpy/ndarray.hpp
index 2985907b5b..e5b6a9e94b 100644
--- a/boost/python/numpy/ndarray.hpp
+++ b/boost/python/numpy/ndarray.hpp
@@ -16,6 +16,8 @@
#include <boost/type_traits/is_integral.hpp>
#include <boost/python/numpy/numpy_object_mgr_traits.hpp>
#include <boost/python/numpy/dtype.hpp>
+#include <boost/python/numpy/config.hpp>
+
#include <vector>
namespace boost { namespace python { namespace numpy {
@@ -26,7 +28,8 @@ namespace boost { namespace python { namespace numpy {
* @todo This could have a lot more functionality (like boost::python::numeric::array).
* Right now all that exists is what was needed to move raw data between C++ and Python.
*/
-class ndarray : public object
+
+class BOOST_NUMPY_DECL ndarray : public object
{
/**
@@ -139,32 +142,32 @@ public:
/**
* @brief Construct a new array with the given shape and data type, with data initialized to zero.
*/
-ndarray zeros(python::tuple const & shape, dtype const & dt);
-ndarray zeros(int nd, Py_intptr_t const * shape, dtype const & dt);
+BOOST_NUMPY_DECL ndarray zeros(python::tuple const & shape, dtype const & dt);
+BOOST_NUMPY_DECL ndarray zeros(int nd, Py_intptr_t const * shape, dtype const & dt);
/**
* @brief Construct a new array with the given shape and data type, with data left uninitialized.
*/
-ndarray empty(python::tuple const & shape, dtype const & dt);
-ndarray empty(int nd, Py_intptr_t const * shape, dtype const & dt);
+BOOST_NUMPY_DECL ndarray empty(python::tuple const & shape, dtype const & dt);
+BOOST_NUMPY_DECL ndarray empty(int nd, Py_intptr_t const * shape, dtype const & dt);
/**
* @brief Construct a new array from an arbitrary Python sequence.
*
* @todo This does't seem to handle ndarray subtypes the same way that "numpy.array" does in Python.
*/
-ndarray array(object const & obj);
-ndarray array(object const & obj, dtype const & dt);
+BOOST_NUMPY_DECL ndarray array(object const & obj);
+BOOST_NUMPY_DECL ndarray array(object const & obj, dtype const & dt);
namespace detail
{
-ndarray from_data_impl(void * data,
- dtype const & dt,
- std::vector<Py_intptr_t> const & shape,
- std::vector<Py_intptr_t> const & strides,
- object const & owner,
- bool writeable);
+BOOST_NUMPY_DECL ndarray from_data_impl(void * data,
+ dtype const & dt,
+ std::vector<Py_intptr_t> const & shape,
+ std::vector<Py_intptr_t> const & strides,
+ object const & owner,
+ bool writeable);
template <typename Container>
ndarray from_data_impl(void * data,
@@ -180,12 +183,12 @@ ndarray from_data_impl(void * data,
return from_data_impl(data, dt, shape_, strides_, owner, writeable);
}
-ndarray from_data_impl(void * data,
- dtype const & dt,
- object const & shape,
- object const & strides,
- object const & owner,
- bool writeable);
+BOOST_NUMPY_DECL ndarray from_data_impl(void * data,
+ dtype const & dt,
+ object const & shape,
+ object const & strides,
+ object const & owner,
+ bool writeable);
} // namespace boost::python::numpy::detail
@@ -247,39 +250,53 @@ inline ndarray from_data(void const * data,
* @param[in] nd_max Maximum number of dimensions.
* @param[in] flags Bitwise OR of flags specifying additional requirements.
*/
-ndarray from_object(object const & obj, dtype const & dt,
- int nd_min, int nd_max, ndarray::bitflag flags=ndarray::NONE);
-
-inline ndarray from_object(object const & obj, dtype const & dt,
- int nd, ndarray::bitflag flags=ndarray::NONE)
+BOOST_NUMPY_DECL ndarray from_object(object const & obj,
+ dtype const & dt,
+ int nd_min,
+ int nd_max,
+ ndarray::bitflag flags=ndarray::NONE);
+
+BOOST_NUMPY_DECL inline ndarray from_object(object const & obj,
+ dtype const & dt,
+ int nd,
+ ndarray::bitflag flags=ndarray::NONE)
{
return from_object(obj, dt, nd, nd, flags);
}
-inline ndarray from_object(object const & obj, dtype const & dt, ndarray::bitflag flags=ndarray::NONE)
+BOOST_NUMPY_DECL inline ndarray from_object(object const & obj,
+ dtype const & dt,
+ ndarray::bitflag flags=ndarray::NONE)
{
return from_object(obj, dt, 0, 0, flags);
}
-ndarray from_object(object const & obj, int nd_min, int nd_max,
- ndarray::bitflag flags=ndarray::NONE);
+BOOST_NUMPY_DECL ndarray from_object(object const & obj,
+ int nd_min,
+ int nd_max,
+ ndarray::bitflag flags=ndarray::NONE);
-inline ndarray from_object(object const & obj, int nd, ndarray::bitflag flags=ndarray::NONE)
+BOOST_NUMPY_DECL inline ndarray from_object(object const & obj,
+ int nd,
+ ndarray::bitflag flags=ndarray::NONE)
{
return from_object(obj, nd, nd, flags);
}
-inline ndarray from_object(object const & obj, ndarray::bitflag flags=ndarray::NONE)
+BOOST_NUMPY_DECL inline ndarray from_object(object const & obj,
+ ndarray::bitflag flags=ndarray::NONE)
{
return from_object(obj, 0, 0, flags);
}
-inline ndarray::bitflag operator|(ndarray::bitflag a, ndarray::bitflag b)
+BOOST_NUMPY_DECL inline ndarray::bitflag operator|(ndarray::bitflag a,
+ ndarray::bitflag b)
{
return ndarray::bitflag(int(a) | int(b));
}
-inline ndarray::bitflag operator&(ndarray::bitflag a, ndarray::bitflag b)
+BOOST_NUMPY_DECL inline ndarray::bitflag operator&(ndarray::bitflag a,
+ ndarray::bitflag b)
{
return ndarray::bitflag(int(a) & int(b));
}