关于self实例变量与多线程的报错

flyps · 发表于 2021-4-7 15:28:24

本帖最后由 flyps 于 2021-4-7 22:43 编辑

下面有两段代码，第一段是会报错的，第二段是可正常运行的，方法是将self实例变量改为全局变量，问题是假如代码中几十个self实例变量，按方法是要改成几十个全局变量，那么这样是否会降低运行速度，或是严重占用内存。请问是否有更好的方法，谢谢

增加第三段代码，只要tkinter组件，前面是self开头的变量，就会报错。

import multiprocessing as mp
import tkinter as tk
class Test():
def __init__(self):
root = tk.Tk()
frame = tk.Frame(root,height=400,width=400)
frame.grid(row=0)
tk.Label(frame,text='1:').grid(row=0,padx=5,pady=5)
tk.Label(frame,text='2:').grid(row=1,padx=5,pady=5)
tk.Label(frame,text='3:').grid(row=2,padx=5,pady=5)
self.v1 = tk.StringVar()
self.v2 = tk.StringVar()
self.v3 = tk.StringVar()
e1=tk.Entry(frame, textvariable=self.v1,width=3)
e1.grid(row=0, column=1)
e1.insert(0,10)
e2=tk.Entry(frame, textvariable=self.v2,width=3)
e2.grid(row=1, column=1)
e2.insert(0,20)
e3=tk.Entry(frame, textvariable=self.v3,width=3)
e3.grid(row=2, column=1)
e3.insert(0,30)
tk.Button(frame,height=4,width=10,text='执行',command=self.doit).grid(row=3,column=0)
root.mainloop()
def job(self,q):
res = 0
for i in range(1000000):
res += i + i**2 + i**3
q.put(res) # queue
def doit(self):
q = mp.Queue()
p1 = mp.Process(target=self.job, args=(q,))
p2 = mp.Process(target=self.job, args=(q,))
p1.start()
p2.start()
p1.join()
p2.join()
res1 = q.get()
res2 = q.get()
print('multicore:',res1 + res2)
print(self.v1.get(),self.v2.get(),self.v3.get())
if __name__ == '__main__':
go = Test()

复制代码

import multiprocessing as mp
import tkinter as tk
class Test():
def __init__(self):
global v1
global v2
global v3
root = tk.Tk()
frame = tk.Frame(root,height=400,width=400)
frame.grid(row=0)
tk.Label(frame,text='1:').grid(row=0,padx=5,pady=5)
tk.Label(frame,text='2:').grid(row=1,padx=5,pady=5)
tk.Label(frame,text='3:').grid(row=2,padx=5,pady=5)
v1 = tk.StringVar()
v2 = tk.StringVar()
v3 = tk.StringVar()
e1=tk.Entry(frame, textvariable=v1,width=3)
e1.grid(row=0, column=1)
e1.insert(0,10)
e2=tk.Entry(frame, textvariable=v2,width=3)
e2.grid(row=1, column=1)
e2.insert(0,20)
e3=tk.Entry(frame, textvariable=v3,width=3)
e3.grid(row=2, column=1)
e3.insert(0,30)
tk.Button(frame,height=4,width=10,text='执行',command=self.doit).grid(row=3,column=0)
root.mainloop()
def job(self,q):
res = 0
for i in range(1000000):
res += i + i**2 + i**3
q.put(res) # queue
def doit(self):
q = mp.Queue()
p1 = mp.Process(target=self.job, args=(q,))
p2 = mp.Process(target=self.job, args=(q,))
p1.start()
p2.start()
p1.join()
p2.join()
res1 = q.get()
res2 = q.get()
print('multicore:',res1 + res2)
print(v1.get(),v2.get(),v3.get())
if __name__ == '__main__':
go = Test()

复制代码

import multiprocessing as mp
import tkinter as tk
class Test():
def __init__(self):
root = tk.Tk()
frame = tk.Frame(root,height=400,width=400)
frame.grid(row=0)
tk.Label(frame,text='1:').grid(row=0,padx=5,pady=5)
tk.Label(frame,text='2:').grid(row=1,padx=5,pady=5)
tk.Label(frame,text='3:').grid(row=2,padx=5,pady=5)
self.l4 = tk.Label(frame,text='4:')
self.l4.grid(row=3,padx=5,pady=5)
'''
self.v1 = tk.StringVar()
self.v2 = tk.StringVar()
self.v3 = tk.StringVar()
e1=tk.Entry(frame, textvariable=self.v1,width=3)
e1.grid(row=0, column=1)
e1.insert(0,10)
e2=tk.Entry(frame, textvariable=self.v2,width=3)
e2.grid(row=1, column=1)
e2.insert(0,20)
e3=tk.Entry(frame, textvariable=self.v3,width=3)
e3.grid(row=2, column=1)
e3.insert(0,30)
'''
tk.Button(frame,height=4,width=10,text='执行',command=self.doit).grid(row=4,column=0)
root.mainloop()
def job(self,q):
res = 0
for i in range(1000000):
res += i + i**2 + i**3
q.put(res) # queue
def doit(self):
q = mp.Queue()
p1 = mp.Process(target=self.job, args=(q,))
p2 = mp.Process(target=self.job, args=(q,))
p1.start()
p2.start()
p1.join()
p2.join()
res1 = q.get()
res2 = q.get()
print('multicore:',res1 + res2)
print(self.v1.get(),self.v2.get(),self.v3.get())
if __name__ == '__main__':
go = Test()
#go.mainloop()
#go.root.mainloop()

复制代码

suchocolate · 发表于 2021-4-7 16:37:11

我看v1v2v3是窗口数据，不算实例变量，是要全局接入的。

591821661 · 发表于 2021-4-7 16:49:39

报错信息呢？

flyps · 发表于 2021-4-7 20:34:30

suchocolate 发表于 2021-4-7 16:37
我看v1v2v3是窗口数据，不算实例变量，是要全局接入的。

请问若窗口数据数量过多，会不会降低运行速度，或是严重占用内存。如果会，有什么方法可以避免，谢谢

flyps · 发表于 2021-4-7 22:32:35

591821661 发表于 2021-4-7 16:49
报错信息呢？

Exception in Tkinter callback
Traceback (most recent call last):
  File "C:\users\administrator\appdata\local\programs\python\python38\lib\tkinter\__init__.py", line 1883, in __call__
return self.func(*args)
  File "f:/Desktop/Code library/filter/03.py", line 37, in doit
p1.start()
  File "C:\users\administrator\appdata\local\programs\python\python38\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
  File "C:\users\administrator\appdata\local\programs\python\python38\lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
  File "C:\users\administrator\appdata\local\programs\python\python38\lib\multiprocessing\context.py", line 327, in _Popen
return Popen(process_obj)
  File "C:\users\administrator\appdata\local\programs\python\python38\lib\multiprocessing\popen_spawn_win32.py", line 93, in __init__
reduction.dump(process_obj, to_child)
  File "C:\users\administrator\appdata\local\programs\python\python38\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
TypeError: cannot pickle '_tkinter.tkapp' object
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\users\administrator\appdata\local\programs\python\python38\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
  File "C:\users\administrator\appdata\local\programs\python\python38\lib\multiprocessing\spawn.py", line 126, in _main
self = reduction.pickle.load(from_parent)
EOFError: Ran out of input

flyps · 发表于 2021-4-8 10:13:39

求解答，谢谢

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