Measuring decorator overhead
Your boss wrote a decorator called check_everything() that they think is amazing, and they are insisting you use it on your function. However, you've noticed that when you use it to decorate your functions, it makes them run much slower. You need to convince your boss that the decorator is adding too much processing time to your function. To do this, you are going to measure how long the decorated function takes to run and compare it to how long the undecorated function would have taken to run. This is the decorator in question:
def check_everything(func):
@wraps(func)
def wrapper(*args, **kwargs):
check_inputs(*args, **kwargs)
result = func(*args, **kwargs)
check_outputs(result)
return result
return wrapper
Deze oefening maakt deel uit van de cursus
Writing Functions in Python
Oefeninstructies
- Call the original function instead of the decorated version by using an attribute of the function that the
wraps()statement in your boss's decorator added to the decorated function.
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
@check_everything
def duplicate(my_list):
"""Return a new list that repeats the input twice"""
return my_list + my_list
t_start = time.time()
duplicated_list = duplicate(list(range(50)))
t_end = time.time()
decorated_time = t_end - t_start
t_start = time.time()
# Call the original function instead of the decorated one
duplicated_list = duplicate.____(list(range(50)))
t_end = time.time()
undecorated_time = t_end - t_start
print('Decorated time: {:.5f}s'.format(decorated_time))
print('Undecorated time: {:.5f}s'.format(undecorated_time))