On Sat, 2011-12-17 at 15:29 +0100, Pauli Virtanen wrote: > 17.12.2011 09:42, Soeren Sonnenburg kirjoitti: > > 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 . > [clip] > > Since Numpy version 1.5, the new buffer protocol is supported.
I've looked at the source code of numpy 1.6.1 and couldn't find the respective code... I guess I must be doing something wrong but there really was no call to PyObject_CheckBuffer() ... The problem is I don't really know what is supposed to happen if the new buffer protocol is supported by some class named say Foo. Could I then do x=Foo([1,2,3]) numpy.array([2,2,2])+x and such operations? 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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