Quick and dirty caching function results on disk using pickle
Project description
pklcache
The name stands for pickle cache, and it is a quick and dirty way of caching function results on disk using pickle
.
This can be helpful for example in some machine learning tasks, where you have to preprocess the data with many time-consuming steps, and you want to not recompute things every time you run your program.
Example
from pklcache import cache
@cache("foo_cache.pkl")
def foo(args):
# time consuming operations here...
return result
If you run the program
result = foo() #foo executed
And if you run it again
result = foo() #foo not executed, load result from disk
The first time foo
is called its result is saved on disk on foo_cache.pkl
. If then the function is called another time or the program is run again, foo
is not executed, instead its return value is loaded from disk and returned.
Args
@cache(fpath, enabled=True)
fpath
: is the cache file pathenabled
: ifFalse
the store/load is disabled and the function is executed like if it wasn't decorated. Useful during development and debugging.
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