![]() To help measure the effectiveness of the cache and tune the maxsize The wrapped function is instrumented with a cache_parameters()įunction that returns a new dict showing the values for maxsizeĪnd typed. ('answer', Fraction(42)) are treated as equivalent. ![]() In contrast, the tuple arguments ('answer', Decimal(42)) and The scalar arguments, Decimal(42) andįraction(42) are be treated as distinct calls with distinct results. Note, type specificity applies only to the function’s immediate arguments Types such as str and int may be cached separately even when typed ![]() Regard them as equivalent calls and only cache a single result. If typed is false, the implementation will usually If typed is set to true, function arguments of different types will beĬached separately. If maxsize is set to None, the LRU feature is disabled and the cache can count ( vowel ) for vowel in 'AEIOUaeiou' ) Is desired, an effect similar to cached_property() can be achievedīy a stacking property() on top of def count_vowels ( sentence ): return sum ( sentence. If a mutable mapping is not available or if space-efficient key sharing (as such classes don’t provide a _dict_ attribute at all). _slots_ without including _dict_ as one of the defined slots Read-only proxies for the class namespace), and those that specify Metaclasses (since the _dict_ attributes on type instances are This means it will not work with some types, such as This means that instance dictionariesĪlso, this decorator requires that the _dict_ attribute on each instanceīe a mutable mapping. Note, this decorator interferes with the operation of PEP 412 ThisĪllows the cached_property method to run again. The cached value can be cleared by deleting the attribute. Method and it works like a normal attribute. SubsequentĪttribute reads and writes take precedence over the cached_property When it does run, theĬached_property writes to the attribute with the same name. The cached_property decorator only runs on lookups and only when anĪttribute of the same name doesn’t exist. In contrast, a cached_property allows writes. A regular property blocks attribute writes unless a The mechanics of cached_property() are somewhat different from ![]() _data = tuple ( sequence_of_numbers ) def stdev ( self ): return statistics. Class DataSet : def _init_ ( self, sequence_of_numbers ): self. ![]()
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