Cache any function to disk
Project description
What is this?
The smart way to cache function outputs to permanent storage.
- auto rebuilds cache when you edit function source code
- uses mutltiprocessing to keep main thread running fast while saving to disk
- excellent argument change tracking thanks to
super_hash
- even works for impure function when external vars are listed
- works well for class methods by what picking parts of
self
to watch
How do I use this?
pip install cool_cache
from cool_cache import cache, settings
# this is the default, but you can change it
settings.default_folder="cache.ignore/"
#
# simple usage (updates whenever function is edited (excluding comments) or when args change)
#
@cache()
def things_with_args(a,b,c):
from time import sleep; sleep(1) # <- simulating a long-running process
return a + b + c
things_with_args(1,2,3) # not yet cached
things_with_args(1,2,3) # uses cache
things_with_args(9,9,9) # not yet cached
things_with_args(9,9,9) # uses cache
#
# external vars
#
external_counter = 0
@cache(depends_on=lambda:[external_counter])
def things_with_external(a,b,c):
global external_counter
from time import sleep; sleep(1) # <- simulating a long-running process
return external_counter + a + b + c
#
# example behavior
#
things_with_external(4,5,6) # not yet cached
things_with_external(4,5,6) # uses cache
external_counter = 1
things_with_external(4,5,6) # not yet cached (because external_counter changed)
things_with_external(4,5,6) # uses cache
#
# bust=True wipes out all cached values for this function on the next run
#
@cache(bust=True)
def things(a,b,c):
return 10
#
# how to use cache with methods/self
#
class MyThing:
def __init__(self, path, other_stuff):
self.path = path
self.other_stuff = other_stuff
# for example: self.path changing will affect the cache, but self.other_stuff wont affect the cache
@cache(watch_attributes=lambda self:[ self.path, ])
def do_some_stuff(self, arg1):
from time import sleep; sleep(1)
return self.path + arg1
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