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
