


how do you write decorators that are compatible with both synchronous and asynchronous code?
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what is decorator python
- can decorators modify the behavior of generators that use `yield`?
- how do you measure the overhead introduced by a decorator accurately?
- how do decorators behave when applied to methods of built-in classes?
- can you write a decorator that adds functionality to built-in functions without modifying their source code?
- how do you preserve the metadata of the original function when using decorators in Python?
- are there any refactoring challenges that are specific to code that uses decorators heavily?
- is a decorator a form of metaprogramming?
- what are some examples of built-in decorators in Python?
- when might you choose to use a decorator instead of monkey patching?
- how do you create a decorator that enforces certain preconditions or postconditions for a function?
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