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__pycache__ | Directory | - | - | |
__init__.py | File | 29343 bytes | June 27 2021 07:20:39. | |
_adapters.py | File | 1862 bytes | June 27 2021 07:20:39. | |
_collections.py | File | 743 bytes | June 27 2021 07:20:39. | |
_compat.py | File | 2348 bytes | June 27 2021 07:20:39. | |
_functools.py | File | 2501 bytes | June 27 2021 07:20:39. | |
_itertools.py | File | 607 bytes | June 27 2021 07:20:39. | |
_meta.py | File | 1150 bytes | June 27 2021 07:20:39. | |
_text.py | File | 2198 bytes | June 27 2021 07:20:39. | |
py.typed | File | 0 bytes | June 27 2021 07:20:39. |
import types import functools # from jaraco.functools 3.3 def method_cache(method, cache_wrapper=None): """ Wrap lru_cache to support storing the cache data in the object instances. Abstracts the common paradigm where the method explicitly saves an underscore-prefixed protected property on first call and returns that subsequently. >>> class MyClass: ... calls = 0 ... ... @method_cache ... def method(self, value): ... self.calls += 1 ... return value >>> a = MyClass() >>> a.method(3) 3 >>> for x in range(75): ... res = a.method(x) >>> a.calls 75 Note that the apparent behavior will be exactly like that of lru_cache except that the cache is stored on each instance, so values in one instance will not flush values from another, and when an instance is deleted, so are the cached values for that instance. >>> b = MyClass() >>> for x in range(35): ... res = b.method(x) >>> b.calls 35 >>> a.method(0) 0 >>> a.calls 75 Note that if method had been decorated with ``functools.lru_cache()``, a.calls would have been 76 (due to the cached value of 0 having been flushed by the 'b' instance). Clear the cache with ``.cache_clear()`` >>> a.method.cache_clear() Same for a method that hasn't yet been called. >>> c = MyClass() >>> c.method.cache_clear() Another cache wrapper may be supplied: >>> cache = functools.lru_cache(maxsize=2) >>> MyClass.method2 = method_cache(lambda self: 3, cache_wrapper=cache) >>> a = MyClass() >>> a.method2() 3 Caution - do not subsequently wrap the method with another decorator, such as ``@property``, which changes the semantics of the function. See also http://code.activestate.com/recipes/577452-a-memoize-decorator-for-instance-methods/ for another implementation and additional justification. """ cache_wrapper = cache_wrapper or functools.lru_cache() def wrapper(self, *args, **kwargs): # it's the first call, replace the method with a cached, bound method bound_method = types.MethodType(method, self) cached_method = cache_wrapper(bound_method) setattr(self, method.__name__, cached_method) return cached_method(*args, **kwargs) # Support cache clear even before cache has been created. wrapper.cache_clear = lambda: None return wrapper
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