!pickle --- Python object serialization — Custom Reduction for Types, Functions, and Other Objects
Sometimes, ~Pickler.dispatch_table may not be flexible enough.
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Sometimes, ~Pickler.dispatch_table may not be flexible enough. In particular we may want to customize pickling based on another criterion than the object's type, or we may want to customize the pickling of functions and classes.
For those cases, it is possible to subclass from the Pickler class and implement a ~Pickler.reducer_override method. This method can return an arbitrary reduction tuple (see ~object.reduce). It can alternatively return NotImplemented to fallback to the traditional behavior.
If both the ~Pickler.dispatch_table and ~Pickler.reducer_override are defined, then ~Pickler.reducer_override method takes priority.
For performance reasons, ~Pickler.reducer_override may not be called for the following objects: None, True, False, and exact instances of int, float, bytes, str, dict, set, frozenset, list and tuple.
Here is a simple example where we allow pickling and recons
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Python Documentation — Doc/library/pickle.rst :: Custom Reduction for Types, Functions, and Other Objects ↗Revision 948fd7e5c084 · PSF-2.0