functools.lru_cache provides a nice way of caching function returns, and is super useful for things like jimport. As @ctrueden noted, however:
I think @cache is the nicest. It just implies (rightly so) that function results are cached and returned again the second time. Whereas lru_cache(maxsize=None) is an oxymoron to me: if there is no size limit, it's not "LRU" anymore.
This is a good point. Unfortunately, functools.cache is a feature introduced in Python 3.9, while scyjava requires >=3.6 and tests 3.8
Once we move on from these Python versions, we should probably reevaulate the usage of lru_cache on jimport.
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functools.lru_cache provides a nice way of caching function returns, and is super useful for things like jimport. As @ctrueden noted, however:
I think @cache is the nicest. It just implies (rightly so) that function results are cached and returned again the second time. Whereas lru_cache(maxsize=None) is an oxymoron to me: if there is no size limit, it's not "LRU" anymore.
This is a good point. Unfortunately, functools.cache is a feature introduced in Python 3.9, while scyjava requires >=3.6 and tests 3.8
Once we move on from these Python versions, we should probably reevaulate the usage of lru_cache on jimport.