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Caching based on computation time and storage space

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This is somewhat related to both #5 and #3 but slightly different. Basically I would like a persistent cache for use when working in a jupyter notebook. The motivation is...

Cachey produces an unhelpful div/zero error when a cached function returns a zero-length array. Examples: ```python from cachey import Cache import numpy as np import pandas as pd cache =...

When attempting to groupby two or more keys, I get an attribute error. This does not occur when grouping by a single key ```python --------------------------------------------------------------------------- AttributeError Traceback (most recent call...

Hello Fellows, I am looking at using dask for distributed computation and I was wondering what is your strategy to make cachey into horizontally scalable cache and common calculation space?...

The current behavior seems to be replacing the value of the key, but increases total_bytes without retiring the existing item. I do not think this behavior is well defined. It...

Hello, I have found this project very useful and while I was doing tests I have found this behavior unexpected for me. I leave below a minimum reproducible example: ```...

cross-posting from ipycache: https://github.com/rossant/ipycache/issues/32