Reputation: 50600
I am attempting to pass a shared secret to child processes. In a Linux environment this works. In a Windows environment the child does not receive the shared secret. The three files below are a simple example of what I'm trying to do:
import multiprocessing
import module1
import module2
if __name__ == "__main__":
module1.init()
process = multiprocessing.Process(target=module2.start)
process.start()
process.join()
import ctypes
import multiprocessing
x = None
def init():
global x
x = multiprocessing.Value(ctypes.c_wchar_p, "asdf")
import module1
def start():
print(module1.x.value)
In an Ubuntu 14.04 environment, on Python 3.5, I receive the following output:
$ python3 main.py
asdf
In a CentOS 7 environment, I receiving the following output:
$ python3 main.py
asdf
Using the Windows Subsystem for Linux on Windows 10 (both before and after the Creator Update, so Ubuntu 14.04 and 16.04) I get the following output:
$ python3 main.py
asdf
However, in both Windows 7 and Windows 10 environments, using either 3.5 or 3.6, I am getting an AttributeError
instead of the above output:
Process Process-1:
Traceback (most recent call last):
File "C:\Python\Python35\lib\multiprocessing\process.py", line 249, in _bootstrap
self.run()
File "C:\Python\Python35\lib\multiprocessing\process.py", line 93, in run
self._target(*self._args, **self._kwargs)
File "H:\Development\replicate-bug\module2.py", line 5, in start
print(module1.x.value)
AttributeError: 'NoneType' object has no attribute 'value'
I am using a shared ctype. This value should be inherited by the child process.
Why do I receive this AttributeError
in a Windows environment, but not a Linux environment?
Upvotes: 9
Views: 524
Reputation: 5647
As mentioned in one of the posts automatically linked on the sidebar, windows does not have the fork
systemcall present on *NIX systems.
This implies that instead of sharing global state (like NIX Processes can do), a Windows child process is basically completely separate. This includes modules.
What I suspect is happening is that the module gets loaded anew and the module1
you access inside module2.start
isn't quite the module you expected.
The multiprocessing guidelines explicitly mention that module-level constants are exempt from the rule: "variables may not contain what you expect". Well in either case, the solution is to explicitly pass the module you want to the child process like so:
def start(mod1):
print(mod1.x.value)
if __name__ == '__main__':
module1.init()
process = multiprocessing.Process(target=module2.start, args=(module1,))
process.start()
process.join()
Upvotes: 4