new_handle = reduction.steal_handle(parent_pid, pipe_handle) File "D:\Users\52489\Anaconda3\lib\multiprocessing\reduction.py", line 87, in steal_handle _winapi.DUPLICATE_SAME_ACCESS | _winapi.DUPLICATE_CLOSE_SOURCE) PermissionError: [WinError 5] 拒绝访问。 1. 2. 3. 4. 5. 6. 7. 8....
命令行运行: #task_master.py import random,time,queue from multiprocessing.managers import BaseManager task_queue = queue.Queue() result_queue = queue.Queue() class QueueManager(BaseManager): pass def task_q(): return task_queue def result_q(): return result_queue print('master start.') Q...
Standard pool execution results in OSError: [WinError 87] The parameter is incorrect, Queue and ThreadPool lead to a multiprocessing bomb, using the existing mp.Pool with multiprocessing.get_context("spawn").Pool() doesn't crash but is unusable slow. See complete logs for the approaches above...
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Name Last commit message Last commit date Latest commit Cannot retrieve latest commit at this time. History 12 Commits expackage logs .gitignore README.md cx_setup.py environment.yml points.pkl points_small.pkl requirements.txt setup.py