我写了一个相当基本的装饰器:
def test_speed(f, *args, **kwargs):
"""This decorator will print out the time taken for input function to run."""
@wraps(f)
def wrapper():
"""Wrapper function returned by the outer function."""
start = time.time()
to_return = f(*args, **kwargs)
end = time.time()
print(f"The function {__name__} completed in {end-start} seconds.")
return to_return
return wrapper
在一个名为工具的项目中的名为装饰器的python脚本中。我已将该项目添加到配置中的第二个项目中,该项目用于练习使用多处理模块。我编写了一些测试函数来检查某些循环的多处理速度:
""" A script to practice using multiprocessing effectively in python."""
from decorators import *
from multiprocessing import *
def _loop(i, process_number):
for i in range(i):
if i % 500 == 0:
print(f'{i} iterations of loop {process_number}.')
def serial_looping():
_loop(10000, 'one')
_loop(10000, 'two')
_loop(10000, 'three')
@test_speed
def parallel_looping():
loop_one = Process(target=_loop, args=(10000, 'one'))
loop_two = Process(target=_loop, args=(10000, 'two'))
loop_three = Process(target=_loop, args=(10000, 'three'))
if __name__ == '__main__':
serial_looping()
parallel_looping()
def serial_looping():
_loop(10000, 'one')
_loop(10000, 'two')
_loop(10000, 'three')
@test_speed
def parallel_looping():
loops = []
loops.append(Process(target=_loop, args=(10000, 'one')))
loops.append(Process(target=_loop, args=(10000, 'two')))
loops.append(Process(target=_loop, args=(10000, 'three')))
for loop in loops:
loop.start()
print('loop')
if __name__ == '__main__':
serial_looping()
parallel_looping()
我的问题是,当调用包装函数时,它代替名称来说明包装器的项目名称,装饰器,如下所示:
The function decorators completed in 5.841255187988281e-05 seconds.
当然这应该显示为:
The function serial_looping completed in 5.841255187988281e-05 seconds.
答案 0 :(得分:1)
您应该在函数f
上调用print(f"The function {f.__name__} completed in {end-start} seconds.")
:
__name__
原因是@wraps
在默认情况下指的是封闭函数;我不认为some_data-a
会覆盖此行为;它不知道您打算打印什么。