What are performance testing decorators?
Performance testing decorators are design patterns used to measure and enhance the performance of functions in software applications.
How do I implement a performance testing decorator in Python?
You can implement a performance testing decorator in Python by defining a function that wraps another function and measures its execution time.
Can you show me a code example?
Sure! Here's a simple example:
import time
def performance_decorator(func):
def wrapper(*args, **kwargs):
start_time = time.time()
result = func(*args, **kwargs)
end_time = time.time()
print(f"{func.__name__} executed in {end_time - start_time} seconds")
return result
return wrapper
@performance_decorator
def my_function():
time.sleep(1)
print("Function executed")
my_function()
What are some common use cases for these decorators?
Common use cases include monitoring API response times, optimizing database queries, and profiling resource-intensive functions.
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