On Sat, Apr 6, 2013 at 8:03 PM, Alex Ford <[email protected]> wrote: > Hello, > > Do any core developers or uses have guidance on how to resolve PR #3188 > (https://github.com/numpy/numpy/pull/3188) in relation to the pickling > behavior of array scalar objects? > > To summarize, pickling array scalars with object fields, which are produced > when indexing record arrays with object fields, stores the object address > instead of pickling the referenced object. This behavior, obviously, results > in invalid references on unpickling. > > Two current options are to: > A) Raise an exception on pickling scalars with object fields. > B) Transparently convert scalars to zero-rank arrays on pickling, which > pickle properly. > > Unless there are objections or opinions on potential solutions, I am > inclined to implement A.
Option (A) would certainly be an improvement over silently saving corrupted data! I guess the best would be to implement proper pickling -- which might be as simple as writing a pickle function that casts to a zero-rank array and saves that, and an unpickler that casts back. But I don't know if it's worth spending much effort on -- people haven't exactly been clamoring for this functionality that I've noticed. -n _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
