Hi! I have a subclass of numpy and another of pandas which add a metadata attribute to them. Moreover, I have a subclass of typing.List as a Python generic with this metadata attribute as well.
Now, it seems if I serialize this to plasma store and back I get standard numpy, pandas, or list back, respectively. My question is: how can I make it so that proper subclasses are returned, including the custom metadata attribute? I tried to use pyarrow_lib._default_serialization_context.register_type but it does not seem to work. Moreover, I still worry that even if I create a serialization for a custom class, if anyone makes a subclass and tries to store it plasma store they will get back the custom class and not a subclass. This is how I am testing: https://gitlab.com/datadrivendiscovery/metadata/blob/plasma/tests/test_plasma.py#L50 And here is the code for custom numpy class and attempt at registering custom serialization: https://gitlab.com/datadrivendiscovery/metadata/blob/plasma/d3m_metadata/container/numpy.py#L135 It looks like custom serialization is not called. Mitar -- http://mitar.tnode.com/ https://twitter.com/mitar_m
