Reputation: 754
How do you use multiprocessing
on root.mainloop
? I am using Python 3.6. I need to do lines of code after it, some requiring the object.
I do not want to create a second object, like some of the other answers for my question suggest.
Here is a little code snippet (set being a JSON object):
from multiprocessing import Process
def check():
try: sett['setup']
except KeyError:
sett['troubleshoot_file']=None
check()
else:
if sett['setup'] is True: return
elif type(sett['setup']) is not bool: raise TypeError('sett[\'setup\'] is not a type of boolian (\'bool\')')
root.=Tk()
root['bg']='blue'
mainloop=Process(target=root.mainloop)
mainloop.start()
mainloop.join()
check()
However, I get this traceback:
Traceback (most recent call last):
File "(directory)/main.py", line 41, in <module>
check()
File "(directory)/main.py", line 39, in check
mainloop.start()
File "C:\Program Files (x86)\Python36-32\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Program Files (x86)\Python36-32\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Program Files (x86)\Python36-32\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Program Files (x86)\Python36-32\lib\multiprocessing\popen_spawn_win32.py", line 65, in __init__
reduction.dump(process_obj, to_child)
File "C:\Program Files (x86)\Python36-32\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
TypeError: can't pickle _tkinter.tkapp objects
I have tried running:
from queue import Queue
from tkinter import Tk
from multiprocessing import Process
p=Process(target=q.get())
The interpreter then completely crashes.
Upvotes: 1
Views: 1652
Reputation: 385960
You cannot use any tkinter objects across multiple processes or threads. If you need to share data between the gui and other processes you will need to set up a queue, and poll the queue from the GUI.
The reason for this is that tkinter is a wrapper around a tcl interpreter that knows nothing about python threads or processes.
You will find a link on how to do this at: docs.python.org/3.6/library/queue.html
Upvotes: 2