multiprocessing

问题 I have primary.py: from tkinter import * from tkinter.filedialog import askopenfilename from tkinter import ttk import multiprocessing as mp import other_script class GUI: def __init__(self, master): self.master = master def file_select(): path = askopenfilename() if __name__ == '__main__': queue = mp.Queue() queue.put(path) import_ds_proc = mp.Process(target=other_script.dummy, args=(queue,)) import_ds_proc.daemon = True import_ds_proc.start() # GUI root = Tk() my_gui = GUI(root) # Display

问题 I have primary.py: from tkinter import * from tkinter.filedialog import askopenfilename from tkinter import ttk import multiprocessing as mp import other_script class GUI: def __init__(self, master): self.master = master def file_select(): path = askopenfilename() if __name__ == '__main__': queue = mp.Queue() queue.put(path) import_ds_proc = mp.Process(target=other_script.dummy, args=(queue,)) import_ds_proc.daemon = True import_ds_proc.start() # GUI root = Tk() my_gui = GUI(root) # Display

问题 I have primary.py: from tkinter import * from tkinter.filedialog import askopenfilename from tkinter import ttk import multiprocessing as mp import other_script class GUI: def __init__(self, master): self.master = master def file_select(): path = askopenfilename() if __name__ == '__main__': queue = mp.Queue() queue.put(path) import_ds_proc = mp.Process(target=other_script.dummy, args=(queue,)) import_ds_proc.daemon = True import_ds_proc.start() # GUI root = Tk() my_gui = GUI(root) # Display

问题 I have primary.py: from tkinter import * from tkinter.filedialog import askopenfilename from tkinter import ttk import multiprocessing as mp import other_script class GUI: def __init__(self, master): self.master = master def file_select(): path = askopenfilename() if __name__ == '__main__': queue = mp.Queue() queue.put(path) import_ds_proc = mp.Process(target=other_script.dummy, args=(queue,)) import_ds_proc.daemon = True import_ds_proc.start() # GUI root = Tk() my_gui = GUI(root) # Display

问题 I am running a Python 3.7 Flask application which uses flask_socketio to setup a socketio server for browser clients, another python process to connect to a separate remote socketio server & exchange messages, and another python process to read input from a PIR sensor. Both python processes communicate over multiprocessing.Queue - but, the socketio process always gets either [WinError6] - Invalid Handle or [WinError5] - Permission Denied . I have absolutely no idea what I'm doing wrong. Here

问题 One parent launch two process A, B with python multiprocessing that should run in parallel. Share two lists with Multiprocessing.Manager list_1 list_2 A write to list_1 that is passed as parameter to A, inside A list_1 became list_W. A read from a list_2 that is passed as parameter to A, inside A list_2 became list_R B write to list_2 that is passed as parameter to B, inside B list_2 became list_W. B read from a list_1 that is passed as parameter to B, inside B list_1 became list_R if I call

问题 One parent launch two process A, B with python multiprocessing that should run in parallel. Share two lists with Multiprocessing.Manager list_1 list_2 A write to list_1 that is passed as parameter to A, inside A list_1 became list_W. A read from a list_2 that is passed as parameter to A, inside A list_2 became list_R B write to list_2 that is passed as parameter to B, inside B list_2 became list_W. B read from a list_1 that is passed as parameter to B, inside B list_1 became list_R if I call

问题 I am trying to do some multiprocessing with functions that I dynamically create within other functions. It seems I can run these if the function fed to ProcessPoolExecutor is module-level: def make_func(a): def dynamic_func(i): return i, i**2 + a return dynamic_func f_dyns = [make_func(a) for a in range(10)] def loopfunc(i): return f_dyns[i](i) with concurrent.futures.ProcessPoolExecutor(3) as executor: for i,r in executor.map(loopfunc, range(10)): print(i,":",r) output: 0 : 0 1 : 2 2 : 6 3 :

问题 I'm trying to submit further tasks from result of a task that was done: with concurrent.futures.ThreadPoolExecutor() as executor: future = executor.submit(my_task) def callback(future): for another_task in future.result(): future = executor.submit(another_task) future.add_done_callback(callback) future.add_done_callback(callback) but I'm getting: RuntimeError: cannot schedule new futures after shutdown What's the best way to make the executor hold for the callback? A semaphore? Ideally the

问题 I'm trying to submit further tasks from result of a task that was done: with concurrent.futures.ThreadPoolExecutor() as executor: future = executor.submit(my_task) def callback(future): for another_task in future.result(): future = executor.submit(another_task) future.add_done_callback(callback) future.add_done_callback(callback) but I'm getting: RuntimeError: cannot schedule new futures after shutdown What's the best way to make the executor hold for the callback? A semaphore? Ideally the