What are some tools for performance testing with decorators?
There are several tools you can use for performance testing with decorators, such as Locust, JMeter, and pytest-benchmark.
Can you explain how decorators work in performance testing?
Sure! Decorators in performance testing are used to wrap functions, allowing you to measure execution time and resource usage.
Are there any specific examples of using decorators in Python for this?
Yes! You can create a simple timing decorator that logs the execution time of a function, which is useful for performance analysis.
What are the benefits of using decorators for performance testing?
Using decorators simplifies the code, promotes reusability, and allows for easy integration of performance metrics without modifying the core logic.
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