Traceback (most recent call last):


 "<stdin>", line 1, in <module>


 "/home/jugs/anaconda3/envs/asr/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 363, in train

loss = self._train_model(input_fn, hooks, saving_listeners)


 "/home/jugs/anaconda3/envs/asr/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 843, in _train_model

return self._train_model_default(input_fn, hooks, saving_listeners)


 "/home/jugs/anaconda3/envs/asr/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 853, in _train_model_default

input_fn, model_fn_lib.ModeKeys.TRAIN))


 "/home/jugs/anaconda3/envs/asr/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 691, in _get_features_and_labels_from_input_fn

result = self._call_input_fn(input_fn, mode)


 "/home/jugs/anaconda3/envs/asr/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 798, in _call_input_fn

return input_fn(**kwargs)


 "/home/jugs/anaconda3/envs/asr/lib/python3.6/site-packages/bert/run_classifier.py", line 759, in input_fn

d = d.batch(batch_size=batch_size, drop_remainder=drop_remainder)
TypeError: batch() got an unexpected keyword argument 'drop_remainder'

Traceback (most recent call last):


 "/srv/homeassistant/lib/python3.7/site-packages/homeassistant/helpers/entity_platform.py", line 150, in _async_setup_platform

await asyncio.wait_for(asyncio.shield(task), SLOW_SETUP_MAX_WAIT)


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

return fut.result()


 "/srv/homeassistant/lib/python3.7/site-packages/homeassistant/components/miflora/sensor.py", line 75, in async_setup_platform

backend=backend,


 "/srv/homeassistant/lib/python3.7/site-packages/miflora/miflora_poller.py", line 37, in __init__

self._bt_interface = BluetoothInterface(backend, adapter)
TypeError: __init__() takes 2 positional arguments but 3 were given`
