How can decorators improve performance testing in Python?

How can decorators improve performance testing in Python?

Decorators can enhance performance testing by adding functionality to test functions without modifying their code directly.

Can you give me an example of a performance testing decorator?

Sure! Here's a simple example:

import time

def timeit(func):
    def wrapper(*args, **kwargs):
        start_time = time.time()
        result = func(*args, **kwargs)
        end_time = time.time()
        print(f"{func.__name__} took {end_time - start_time:.4f} seconds")
        return result
    return wrapper

How would I use this decorator in my tests?

You can use it by simply applying it to your test functions like this:

@timeit
def test_function():
    # Your test code here

Are there any performance overheads when using decorators?

Yes, there can be a slight overhead due to the additional function calls, but it's often negligible compared to the benefits.