Doesn't work, complaining that the object has no __buffer__ attribute. Digging into the numpy c code it seems numpy doesn't even support the buffer protocol but only the deprecated (old) one http://docs.python.org/c-api/objbuffer.html .
At least there is nowhere a PyObject_CheckBuffer() call but frombuffer
in the numpy C code checks for
(Py_TYPE(buf)->tp_as_buffer->bf_getwritebuffer == NULL
&& Py_TYPE(buf)->tp_as_buffer->bf_getreadbuffer == NULL)
.
So it needs bf_read/writebuffer to be set instead of bf_getbuffer and the array
buffer protocol :-(
Soeren
On Sat, 2011-12-17 at 03:20 +0100, Torgil Svensson wrote:
> What happens if you use
>
> y=numpy.frombuffer(x) ?
>
> //Torgil
>
>
> On Sat, Dec 17, 2011 at 1:41 AM, Soeren Sonnenburg <so...@debian.org> wrote:
> > Hi,
> >
> > I've implemented the buffer protocol
> > (http://www.python.org/dev/peps/pep-3118/) for some matrix class and
> > when I manually call PyObject_GetBuffer on that object I see that I get
> > the right matrix.
> >
> > Now I'd like to see numpy use the buffer protocol of my class. Does
> > anyone know how to test that? What do I need to write, just
> >
> > x=MyMatrix([1,2,3])
> > y=numpy.array(x)
> >
> > (that doesn't call the buffer function though - so it must be sth else)?
> >
> > Any ideas?
> > Soeren
> > --
> > For the one fact about the future of which we can be certain is that it
> > will be utterly fantastic. -- Arthur C. Clarke, 1962
> >
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will be utterly fantastic. -- Arthur C. Clarke, 1962
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