Stores function results so that they are not computed again on repetitive calls of the function with the same arguments. Results can be stored either on disk or in memory.
pip install git+https://github.com/mschrimpf/result_caching
from result_caching import store
@store()
def f(a, b):
return a * b
y = f(1, 2) # computed first time, stored on disk
y = f(1, 2) # not computed again, loaded from disk
y = f(1, 3) # computed again, different parameters
By default, results will be stored in ~/.result_caching, this can be
changed through the environment variable RESULTCACHING_HOME.
cache will only hold results in memory and not write them to disk.
| Variable | description |
|---|---|
| RESULTCACHING_HOME | directory to cache results (benchmark ceilings) in, ~/.result_caching by default |
| RESULTCACHING_DISABLE | * '1' to disable loading and saving of results, functions will be called directly |
* 'candidate_models.score_model,model_tools.activations' to disable loading and saving of function identifiers starting with one of the specifiers separated by a comma (e.g. any package or function inside model_tools.activations will not be considered) |
|
| RESULTCACHING_CACHEDONLY | If enabled, raises an error when trying to run a function that does not have its result already cached (follows the same matching rules as RESULTCACHING_DISABLE) |