Traceback (most recent call last):
File "D:\log-classifier\main.py", line 8, in <module>
StartGetData(
File "D:\log-classifier\init_modul\StartGetData.py", line 143, in start
resalt = pool.map(run_function, parametrs)
File "C:\Users\danila\AppData\Local\Programs\Python\Python39\lib\multiprocessing\pool.py", line 364, in map
return self._map_async(func, iterable, mapstar, chunksize).get()
File "C:\Users\danila\AppData\Local\Programs\Python\Python39\lib\multiprocessing\pool.py", line 771, in get
raise self._value
File "C:\Users\danila\AppData\Local\Programs\Python\Python39\lib\multiprocessing\pool.py", line 537, in _handle_tasks
put(task)
File "C:\Users\danila\AppData\Local\Programs\Python\Python39\lib\multiprocessing\connection.py", line 211, in send
self._send_bytes(_ForkingPickler.dumps(obj))
File "C:\Users\danila\AppData\Local\Programs\Python\Python39\lib\multiprocessing\reduction.py", line 51, in dumps
cls(buf, protocol).dump(obj)
TypeError: cannot pickle '_thread.lock' object
Process finished with exit code 1
идея была в том, чтобы сократить время работы за счет удаления