Normalize with the Error:ValueError: need at most 63 handles, got a sequence of length 72

🐛 Bug Description

When I was tring to normalize the 1min data, use following code,
(env38) C:\Users\Anani>python scripts/data_collector/yahoo/collector.py normalize_data --qlib_data_1d_dir ~/.qlib/qlib_data/cn_data --source_dir ~/.qlib/stock_data/source/cn_data_1min --normalize_dir ~/.qlib/stock_data/source/cn_1min_nor --region CN --interval 1min --max_workers 8

I got this ERROR code,
2023-02-22 21:54:27.234 | INFO | data_collector.utils:get_calendar_list:106 - end of get calendar list: ALL.
[6924:MainThread](2023-02-22 21:55:01,958) INFO - qlib.Initialization - [config.py:416] - default_conf: client.
[6924:MainThread](2023-02-22 21:55:02,858) INFO - qlib.Initialization - [init.py:74] - qlib successfully initialized based on client settings.
[6924:MainThread](2023-02-22 21:55:02,859) INFO - qlib.Initialization - [init.py:76] - data_path={'__DEFAULT_FREQ': WindowsPath('C:/Users/Anani/.qlib/qlib_data/cn_data')}
Exception in thread Thread-1:
Traceback (most recent call last):
File "C:\Users\Anani\anaconda3\envs\env38\lib\threading.py", line 932, in _bootstrap_inner
self.run()
File "C:\Users\Anani\anaconda3\envs\env38\lib\threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\Anani\anaconda3\envs\env38\lib\multiprocessing\pool.py", line 519, in _handle_workers
cls._wait_for_updates(current_sentinels, change_notifier)
File "C:\Users\Anani\anaconda3\envs\env38\lib\multiprocessing\pool.py", line 499, in _wait_for_updates
wait(sentinels, timeout=timeout)
File "C:\Users\Anani\anaconda3\envs\env38\lib\multiprocessing\connection.py", line 879, in wait
ready_handles = _exhaustive_wait(waithandle_to_obj.keys(), timeout)
File "C:\Users\Anani\anaconda3\envs\env38\lib\multiprocessing\connection.py", line 811, in _exhaustive_wait
res = _winapi.WaitForMultipleObjects(L, False, timeout)
ValueError: need at most 63 handles, got a sequence of length 72

Environment

• Qlib version:0.9.1.99
• Python version: 3.8.12
• OS (Windows, Linux, MacOS): win10 LTSC 1809
• CPU: E5 2696 v3*2, 36C72T

Additional Notes

I have learned that problem may be caused by the CPU cores ＞60，
Is it true? if so, how do I limited the cpu cores when do this project?
SIncerely,

Start by reproducing the shown normalize_data command on Windows, then trace the multiprocessing path from scripts/data_collector/yahoo/collector.py and data_collector.utils. Confirm whether the worker count causes the handle-limit error and define done as completing 1min normalization without the exception, with the supported worker limitation documented or enforced.