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I'm working on some fairly computational intensive calculations that deal with numpy matrices and ndarrays, and from some digging around, there are about a dozen ways not to implement memoization, generally full of collisions, and issues with ndarrays being mutable objects.

Has anyone come across a fairly general memoisation decorator that can handle numpy objects?

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How about this package:

http://packages.python.org/joblib/memory.html

2021 update https://joblib.readthedocs.io/en/latest/generated/joblib.Memory.html

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Could you elaborate a bit instead of just posting a link? meta.stackexchange.com/a/8259/130885
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An alternative is my package jug:

http://packages.python.org/Jug

It is similar to joblib, but with a slightly different approach.

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