[Numpy-discussion] Latest Array-Interface PEP
Charles R Harris
charlesr.harris at gmail.com
Fri Jan 5 10:27:45 CST 2007
On 1/5/07, Travis Oliphant <oliphant at ee.byu.edu> wrote:
> Charles R Harris wrote:
> > On 1/5/07, *Stefan van der Walt* <stefan at sun.ac.za
> > <mailto:stefan at sun.ac.za>> wrote:
> > On Fri, Jan 05, 2007 at 09:38:49AM -0500, Neal Becker wrote:
> > > Several extensions to Python utilize the buffer protocol to
> > share
> > > the location of a data-buffer that is really an N-dimensional
> > > array. However, there is no standard way to exchange the
> > > additional N-dimensional array information so that the
> > data-buffer
> > > is interpreted correctly.
> > >
> > > I am questioning if this is the best concept. It says that the
> > data-buffer
> > > will carry the information about it's interpretation as an
> > N-dimensional
> > > array.
> > >
> > > I'm thinking that a buffer is just an interface to memory, and
> > that the
> > > interpretation as an array of n-dimensions, for example, is best
> > left to
> > > the application. I might want to at one time view the data as
> > > n-dimensional, but at another time as 1-dimensional, for example.
> > You can always choose to ignore that information if you don't need
> > On the other hand, if you *do* need it, how would you otherwise
> > interpret an N-dimensional array, given only a buffer?
> > I think Neal is suggesting some object that basically does nothing but
> > hold a pointer(s) to memory. This memory can be used in various ways,
> > one of which is to use it construct another type of object that
> > provides a view with indices and such, i.e., an array. That way the
> > memory isn't tied to arrays and could concievable be used in other
> > ways. The idea is analagous to the data/model/view paradigm. It is a
> > bit cleaner than just ignoring the array parts.
> Such an object would be useful. I would submit that it is what the
> buffer object "should be"
Yeah. The problem is that we have a buffer API, not a buffer object.
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the Numpy-discussion