Traceback (most recent call last):


 "train.py", line 491, in <module>

train(hyp, opt, device, tb_writer, wandb)


 "train.py", line 186, in train

mlc = np.concatenate(dataset.labels, 0)[:, 0].max()
# max label class


 "<__array_function__ internals>", line 6, in concatenate
ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 2 dimension(s) and the array at index 114824 has 1 dimension(s)

Traceback (most recent call last):


 "/usr/src/homeassistant/homeassistant/helpers/entity_platform.py", line 126, in _async_setup_platform

SLOW_SETUP_MAX_WAIT)


 "/usr/local/lib/python3.7/asyncio/tasks.py", line 416, in wait_for

return fut.result()


 "/usr/src/homeassistant/homeassistant/components/rainmachine/sensor.py", line 29, in async_setup_entry

name, icon, unit, device_class = SENSORS[sensor_type]
ValueError: not enough values to unpack (expected 4, got 3)
