Doesn't look like they are exactly the same: https://gist.github.com/elistevens/03e22f4684fb77d3edfe13ffcd406ef4
Certainly some similarities, though. I'm not familiar with the pickle format, and I haven't yet had time to dig in beyond this, though. Hoping I can tonight. Cheers, Eli On Fri, Jun 24, 2016 at 1:21 PM, matti picus <matti.pi...@gmail.com> wrote: > The first step would be to pickle the same dtype/shape/data ndarray once from > numpy and again from _numpypy, and to compare the binary result. The only > difference should be the class name, if the difference goes deeper that > difference must be fixed. Then it it just a matter of patching pickle.py to > use the desired class instead of the class name encoded into the pickled > binary result. > Matti > >> On 24 Jun 2016, at 10:43 PM, Eli Stevens (Gmail) <wickedg...@gmail.com> >> wrote: >> >> Yeah, looks like that's still the case: >> >>>>>> z = np.zeros((2,3), dtype=np.float32) >>>>>> z.tofile >> Traceback (most recent call last): >> File "<stdin>", line 1, in <module> >> AttributeError: 'numpy.ndarray' object has no attribute 'tofile' >> >> What would it take to get cross-interpreter numpy array pickles working? >> >> Thanks, >> Eli >> >> _______________________________________________ pypy-dev mailing list pypy-dev@python.org https://mail.python.org/mailman/listinfo/pypy-dev
