Stack Overflow Asked by ggokturk on August 17, 2020
I have a script which contains GUI and backend part. Briefly, you can see the summary of code below
class GUI():
def __init__(self):
self.initUi()
self.clickedButton()
def initUI(self):
... elements... buttons etc.
def clickedButton(self):
button.clicked.connect(Backend())
class Backend():
def __init__(self):
self.pool()
def do_something1(self):
...
def do_something2(self,x,y):
print(x+y)
def thread(self,x,y):
...do_something1...
threading.Thread(target = self.do_something2(), args=(self,x,y)).start()
def pool():
p = Pool(processes=5)
items=[(0,123),(123,246),(246,369),(369,492),(492,615)]
p.starmap(self.thread, items)
if __name__ == '__main__':
import sys
from multiprocessing import Pool
import threading
ex = GUI()
sys.exit(app.exec_())
My code normally working well. But I want to do some works in parallel to speed up the algorithm. I know it is looking messy and something can be missing. I am apologizing for this. Mainly, I want to create 5 worker or more to run in parallel. So thread funcion in backend class work 5 times with different arguments that I defined in pool function basicly. When user clicked the button in GUI, it should be run 5 times backend class with different arguments. I am open for any advise.
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