Serhiy Storchaka added the comment:
PicklingError is raised in following cases:
1. Programmical Pickler error (Pickler.__init__() was not called by subclass' __init__()).
2. Due to protocol or implementation limitations: memoizing more than 2**32 objects, saving non-ASCII globals with protocol < 3, etc. Exception type is implementation depended. Sometimes OverflowError or struct.error can be raised instead.
3. When __reduce__/__reduce_ex__ returns invalid value: neither str or tuple, a tuple has wrong size, first tuple element is not a callable, first argument for __newobj__/__newobj_ex__ has no __new__ or doesn't match a type of pickled object, global lookup is failed or doesn't match pickled object, etc.
4. When extension code is not an integer or out of range.
---------- nosy: +serhiy.storchaka
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