* Nathaniel Smith <n...@pobox.com> [2014-12-13]: [snip] > Ah, so your question is about how to serialize dtypes. > > The simplest approach would be to use pickle and shove the resulting string > into your json. However, this is very dangerous if you need to process > untrusted files, because if I can convince you to unpickle an arbitrary > string, then I can run arbitrary code on your computer. > > I believe .npy file format has a safe method for (un)serializing drypes. > I'd look up what it does.
Just to follow this up: NPY actually does some magic to differntiate between simple and complex dtypes (I had already discovered this and am doing it too): https://github.com/numpy/numpy/blob/master/numpy/lib/format.py#L210 And then it does a ``repr`` on the result: https://github.com/numpy/numpy/blob/master/numpy/lib/format.py#L290 On loading it does a ``(safe_)eval`` on the whole header dict: https://github.com/numpy/numpy/blob/master/numpy/lib/format.py#L479 I can do that too and it is what was suggested later on in this thread, but simple dtypes cause a SyntaxError. So what I'll do is try to safe_eval the string, catch the SyntaxError and just use the plain string in that case. That should be easier than trying to reassmble the correct thing from the deserialzed JSON. best wishes and thanks for the advice! V- _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
