multiprocessing in IPython console on Windows machine - if __name_ requirement(Windows 机器上 IPython 控制台中的多处理 - 如果 __name_ 要求)
问题描述
我在 Windows 机器上使用 IPython 和 Spyder IDE.当 IDE 启动时,会加载一组 py 文件来定义一些使我的工作更轻松的函数.一切正常.
I'm working with IPython and Spyder IDE on a Windows machine. When the IDE is starting, a set of py-files is loaded to define some functions that make my work a bit easier. Everything works as expected.
现在我想升级其中一个功能以使用多处理,但在 Windows 上,这需要 if __name__ == "__main__": 语句.因此,我似乎无法直接调用该函数并从 IPython 控制台传递参数.
Now I would like to upgrade one of these function to use multiprocessing, but on Windows this requires the if __name__ == "__main__": statement. So it seems that I cannot call the function directly and pass the arguments from the IPython console.
例如,其中一个 py 文件(我们称之为 test.py)可能类似于以下代码.
For example one of the py-files (let's call it test.py) could look like the following code.
import multiprocessing as mp
import random
import string
# define a example function
def rand_string(length, output):
""" Generates a random string of numbers, lower- and uppercase chars. """
rand_str = ''.join(random.choice(
string.ascii_lowercase
+ string.ascii_uppercase
+ string.digits)
for i in range(length))
output.put(rand_str)
def myFunction():
# Define an output queue
output = mp.Queue()
# Setup a list of processes that we want to run
processes = [mp.Process(target=rand_string, args=(5, output)) for x in range(4)]
# Run processes
for p in processes:
p.start()
# Exit the completed processes
for p in processes:
p.join()
# Get process results from the output queue
results = [output.get() for p in processes]
print(results)
在我的 IPython 控制台中,我想使用该行
In my IPython console I would like to use the line
myFunction()
触发所有计算.但在 Windows 上,最终会出现 BrokenPipe 错误.
to trigger all the calculations. But on Windows a end up getting a BrokenPipe error.
当我放
if __name__ == "__main__":
myFunction()
在 py 文件的末尾并运行完整的文件
at the end of the py-file and run the complete file by
runfile(test.py)
它有效.当然.但这使得向函数传递参数变得非常困难,因为我总是必须编辑 test.py 文件本身.
it works. Of course. But that makes it very hard to pass arguments to the function as I always have to edit the test.py-file itself.
推荐答案
所以,我解决了那个具体问题.
So, I solved that specific problem.
把
rand_string的定义放在一个单独的文件中,叫做test2.
Put the defintion of
rand_stringin a separate file, calledtest2.
将 test2 作为模块导入我的 test.py 脚本
Import test2 as module into my test.py script
将 test2 导入为 test2
修改以下行以访问 test2 模块
modify the following line to access the test2 module
processes = [mp.Process(target=test2.rand_string, args=(5, output)) for x in range(4)]
运行 test.py
调用myFunction()
要快乐:)
解决方案基于此多处理教程建议从另一个脚本导入目标函数.此解决方案绕过 if __name__ -wrapper 的安全自导入以访问目标函数.
The solution is based on this multiprocessing tutorial that suggests to import the target function from another script. This solution bypasses the safe self import by the if __name__ -wrapper to get access to the target function.
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本文标题为:Windows 机器上 IPython 控制台中的多处理 - 如果 __name_ 要求
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