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Python Dynamic Providers #2900
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Python Dynamic Providers #2900
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Move back to `dill` instead of `cloudpickle`.
We updated our pylint version from 2.1.1 to 2.3.1 and this started surfacing a few new classes of lint warnings.
pgavlin
approved these changes
Jul 10, 2019
Dill by default does not recurisvely capture global state, which leads to dangling name references. For many dynamic provider use cases it is necessary to be able to correctly capture globals. Also, customize the pickler to ensure dicts are sorted prior to serializing so that we get a more deterministic serialization.
pgavlin
approved these changes
Jul 19, 2019
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Dynamic providers in Python.
This PR uses dill for code serialization, along with a customization to help ensure deterministic serialization results.
One notable limitation - which I believe is a general requirement of Python - is that any serialization of Python functions must serialize byte code, and byte code is not safely versioned across Python versions. So any resource created with Python
3.x.y
can only be updated by exactly the same version of Python. This is very constraining, but it's not clear there is any other option within the realm of what "dynamic providers" are as a feature. It is plausible that we could ensure that updates which only update the serialized provider can avoid calling the dynamic provider operations, so that version updates could still be accomplished. We can explore this separately.Fixes #2902.