Cached properties can massively speed up your python code
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sure! cached properties are a way to store the result of a method call so that it doesn't have to be computed again if the input parameters are the same. this can greatly speed up your python code, especially when dealing with expensive computations or operations that are called frequently.
to implement a cached property in python, you can use the `@property` decorator along with a dictionary to store the cached values. here's an example to demonstrate how cached properties can be used:
in this example, the `cachedproperty` class is a descriptor that caches the result of the `expensive_calculation` method based on the instance `obj`. the first time `obj.expensive_calculation` is called, the value is computed and stored in the cache. subsequent calls to `obj.expensive_calculation` with the same instance will retrieve the cached value instead of recomputing it.
by using cached properties, you can avoid redundant computations and improve the performance of your python code, especially in scenarios where the same computation is repeated multiple times.
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