Traceback (most recent call last):


 "/home/patrick/miniconda3/envs/hummingbot/lib/python3.8/asyncio/events.py", line 81, in _run

self._context.run(self._callback, *self._args)


 "/home/patrick/miniconda3/envs/hummingbot/lib/python3.8/site-packages/prompt_toolkit/application/application.py", line 652, in read_from_input

self.key_processor.process_keys()


 "/home/patrick/miniconda3/envs/hummingbot/lib/python3.8/site-packages/prompt_toolkit/key_binding/key_processor.py", line 274, in process_keys

self._process_coroutine.send(key_press)


 "/home/patrick/miniconda3/envs/hummingbot/lib/python3.8/site-packages/prompt_toolkit/key_binding/key_processor.py", line 186, in _process

self._call_handler(matches[-1], key_sequence=buffer[:])


 "/home/patrick/miniconda3/envs/hummingbot/lib/python3.8/site-packages/prompt_toolkit/key_binding/key_processor.py", line 329, in _call_handler

handler.call(event)


 "/home/patrick/miniconda3/envs/hummingbot/lib/python3.8/site-packages/prompt_toolkit/key_binding/key_bindings.py", line 101, in call

self.handler(event)


 "/home/patrick/hummingbot/hummingbot/client/ui/keybindings.py", line 34, in status

hb.status()


 "/home/patrick/hummingbot/hummingbot/client/command/status_command.py", line 129, in status

self._notify(self.strategy.format_status() + "\n")


 "hummingbot/strategy/cross_exchange_market_making/cross_exchange_market_making.pyx", line 199, in hummingbot.strategy.cross_exchange_market_making.cross_exchange_market_making.Cross$

df = LimitOrder.to_pandas(limit_orders)


 "hummingbot/core/data_type/limit_order.pyx", line 30, in hummingbot.core.data_type.limit_order.LimitOrder.to_pandas

pd.Timestamp(int(time.time()) - int(order.client_order_id.split("-")[-1])/1e6,
ValueError: invalid literal for int() with base 10: 'WETH/916fb71e8c6d4f84388700e4b2'

Traceback (most recent call last):


 "test_deep_league.py", line 164, in <module>

yolo_model, _ = create_model(anchors, class_names)


 "/Users/xiaoyu/deeplearn/deeplol/YAD2K/retrain_yolo.py", line 351, in create_model

topless_yolo.load_weights(topless_yolo_path)


 "/Users/xiaoyu/miniconda3/envs/DeepLeague/lib/python3.6/site-packages/keras/engine/topology.py", line 2667, in load_weights

f, self.layers, reshape=reshape)


 "/Users/xiaoyu/miniconda3/envs/DeepLeague/lib/python3.6/site-packages/keras/engine/topology.py", line 3365, in load_weights_from_hdf5_group

str(len(filtered_layers)) + ' layers.')
ValueError: You are trying to load a weight file containing 129 layers into a model with 44 layers.