ndarray from_data_impl(void * data,
dtype const & dt,
Container shape,
Container strides,
python::object const & owner,
bool writeable,
typename boost::enable_if< boost::is_integral<typename Container::value_type> >::type * enabled = NULL)
{
std::vector<Py_intptr_t> shape_(shape.begin(),shape.end());
std::vector<Py_intptr_t> strides_(strides.begin(), strides.end());
return from_data_impl(data, dt, shape_, strides_, owner, writeable);
}
ndarray from_data_impl(void * data,
dtype const & dt,
python::object const & shape,
python::object const & strides,
python::object const & owner,
bool writeable)
{
std::vector<Py_intptr_t> shape_(len(shape));
std::vector<Py_intptr_t> strides_(len(strides));
if (shape_.size() != strides_.size())
{
PyErr_SetString(PyExc_ValueError, "Length of shape and strides arrays do not match.");
python::throw_error_already_set();
}
for (std::size_t i = 0; i < shape_.size(); ++i)
{
shape_[i] = python::extract<Py_intptr_t>(shape[i]);
strides_[i] = python::extract<Py_intptr_t>(strides[i]);
}
return from_data_impl(data, dt, shape_, strides_, owner, writeable);
}