You are developing a Python application where a certain function’s output is dependent on expensive computation. How would you use decorators to optimize this scenario?

Create a decorator function that caches the function's output using a dictionary.
Create a decorator function that logs function arguments and return values.
Create a decorator function that raises an exception if the function takes too long to execute.
Create a decorator function that replaces the function with a faster implementation.

To optimize a function with expensive computation, you can use a decorator that caches the function's output, preventing redundant computations. This is known as memoization and is commonly used for optimization.

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You are developing a Python application where a certain function’s output is dependent on expensive computation. How would you use decorators to optimize this scenario?

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