Traceback (most recent call last):


 "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main

return _run_code(code, main_globals, None,


 "/usr/lib/python3.8/runpy.py", line 87, in _run_code

exec(code, run_globals)


 "/home/meta/src/liquidctl/liquidctl/cli.py", line 327, in <module>

main()


 "/home/meta/src/liquidctl/liquidctl/cli.py", line 297, in main

dev.connect(**opts)


 "/home/meta/src/liquidctl/liquidctl/driver/hydro_platinum.py", line 158, in connect

loc = 'loc' + '_'.join((num.decode() for num in re.findall(b'\\d+', self.address)))


 "/usr/lib/python3.8/re.py", line 241, in findall

return _compile(pattern, flags).findall(string)
TypeError: cannot use a bytes pattern on a string-like object

Traceback (most recent call last):


 "C:\Users\****\AppData\Local\conda\conda\envs\POMP\lib\threading.py", line 916, in _bootstrap_inner

self.run()


 "C:\Users\****\AppData\Local\conda\conda\envs\POMP\lib\threading.py", line 864, in run

self._target(*self._args, **self._kwargs)


 "C:\Users\****\AppData\Local\conda\conda\envs\POMP\lib\site-packages\keras\utils\data_utils.py", line 565, in _run

with closing(self.executor_fn(_SHARED_SEQUENCES)) as executor:


 "C:\Users\****\AppData\Local\conda\conda\envs\POMP\lib\site-packages\keras\utils\data_utils.py", line 548, in <lambda>

initargs=(seqs,))


 "C:\Users\****\AppData\Local\conda\conda\envs\POMP\lib\multiprocessing\context.py", line 119, in Pool

context=self.get_context())


 "C:\Users\****\AppData\Local\conda\conda\envs\POMP\lib\multiprocessing\pool.py", line 174, in __init__

self._repopulate_pool()


 "C:\Users\****\AppData\Local\conda\conda\envs\POMP\lib\multiprocessing\pool.py", line 239, in _repopulate_pool

w.start()


 "C:\Users\****\AppData\Local\conda\conda\envs\POMP\lib\multiprocessing\process.py", line 105, in start

self._popen = self._Popen(self)


 "C:\Users\****\AppData\Local\conda\conda\envs\POMP\lib\multiprocessing\context.py", line 322, in _Popen

return Popen(process_obj)


 "C:\Users\****\AppData\Local\conda\conda\envs\POMP\lib\multiprocessing\popen_spawn_win32.py", line 65, in __init__

reduction.dump(process_obj, to_child)


 "C:\Users\****\AppData\Local\conda\conda\envs\POMP\lib\multiprocessing\reduction.py", line 60, in dump

ForkingPickler(file, protocol).dump(obj)
TypeError: can't pickle generator objects
