Hello,
Question:
Is it possible do implement numpy like fancy indexing with boost.python?
Motivation:
I'm playing with boost.python (and py++) to generate python bindings for some
C++ code. N-dimensional arrays are involved with an api like this
{{{
template<typename float_T, size_t N>
class Array
{
...
public:
Array(tr1::array<size_type,N> const& dims) ...
// arity actually done with BOOST_PP
reference operator()(size_type d0, ..., size_type dN)
{ ... }
value_type operator()(size_type d0, ..., size_type dN) const
{ ... }
}}}
Now I like to do something like numpy is able to
dims = (10,20,30)
a = Array3(dims)
a[0,0,0] = 1.0
print a[0,0,0]
Observations:
A quick view in
numpy/src/core/arrayobject.c
gives me the impression that they make an ndarray behave like a dict when its
used like a[0,0...]. This for the tp_as_mapping slot in PyTypeObject seems to
be set.
However, I'm not an expert at this matters.
Thanks in advance,
-- Maik
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