
Traceback (most recent call last):


 "/usr/local/lib/python3.6/dist-packages/tornado/web.py", line 1699, in _execute

result = await result


 "/usr/local/lib/python3.6/dist-packages/jupyterhub/handlers/base.py", line 1013, in get

raise copy.copy(exc).with_traceback(exc.__traceback__)


 "/usr/local/lib/python3.6/dist-packages/tornado/gen.py", line 589, in error_callback

future.result()


 "/usr/local/lib/python3.6/dist-packages/jupyterhub/handlers/base.py", line 636, in finish_user_spawn

await spawn_future


 "/usr/local/lib/python3.6/dist-packages/jupyterhub/user.py", line 489, in spawn

raise e


 "/usr/local/lib/python3.6/dist-packages/jupyterhub/user.py", line 409, in spawn

url = await gen.with_timeout(timedelta(seconds=spawner.start_timeout), f)


 "/usr/local/lib/python3.6/dist-packages/kubespawner/spawner.py", line 1636, in _start

events = self.events


 "/usr/local/lib/python3.6/dist-packages/kubespawner/spawner.py", line 1491, in events

for event in self.event_reflector.events:


 "/usr/local/lib/python3.6/dist-packages/kubespawner/spawner.py", line 72, in events

key=lambda x: x.last_timestamp,

TypeError: '<' not supported between instances of 'datetime.datetime' and 'NoneType'

Traceback (most recent call last):


 "tensor_loop.py", line 14, in <module>

df_res = md.DataFrame(score, columns=["probability"])


 "/home/smartguo/lib/anaconda3/envs/mars/lib/python3.7/site-packages/mars/dataframe/initializer.py", line 47, in __init__

df = dataframe_from_tensor(data, index=index, columns=columns, gpu=gpu, sparse=sparse)


 "/home/smartguo/lib/anaconda3/envs/mars/lib/python3.7/site-packages/mars/dataframe/datasource/from_tensor.py", line 357, in dataframe_from_tensor

return op(tensor, index, columns)


 "/home/smartguo/lib/anaconda3/envs/mars/lib/python3.7/site-packages/mars/utils.py", line 451, in _inner

return func(*args, **kwargs)


 "/home/smartguo/lib/anaconda3/envs/mars/lib/python3.7/site-packages/mars/dataframe/datasource/from_tensor.py", line 83, in __call__

return self._call_input_tensor(input_tensor, index, columns)


 "/home/smartguo/lib/anaconda3/envs/mars/lib/python3.7/site-packages/mars/dataframe/datasource/from_tensor.py", line 156, in _call_input_tensor

index_value = parse_index(pd.RangeIndex(start=0, stop=input_tensor.shape[0]))


 "/home/smartguo/lib/anaconda3/envs/mars/lib/python3.7/site-packages/pandas/core/indexes/range.py", line 107, in __new__

stop = ensure_python_int(stop)


 "/home/smartguo/lib/anaconda3/envs/mars/lib/python3.7/site-packages/pandas/core/dtypes/common.py", line 174, in ensure_python_int

raise TypeError(f"Wrong type {type(value)} for value {value}") from err
TypeError: Wrong type <class 'float'> for value nan
