ERROR: INVALID_TIMESTEP

[arunavo4]

Traceback (most recent call last):
File "/home/arunavo/PycharmProjects/samre12Trading/trader/main.py", line 47, in
main("/home/arunavo/PycharmProjects/samre12Trading/trader/agent/config/config.cfg")
File "/home/arunavo/PycharmProjects/samre12Trading/trader/main.py", line 37, in main
agent.train()
File "/home/arunavo/PycharmProjects/samre12Trading/trader/agent/model/train.py", line 69, in train
self.replay_memory.set_history(state, supplementary)
File "/home/arunavo/PycharmProjects/samre12Trading/trader/agent/model/replay_memory.py", line 107, in set_history
self.add(state[length - 1], 0.0, 0, False, supp)
File "/home/arunavo/PycharmProjects/samre12Trading/trader/agent/model/replay_memory.py", line 53, in add
raise ValueError(INVALID_TIMESTEP)
ValueError: INVALID_TIMESTEP
ERROR:deep_trading_agent:Invalid Timestep with shapes (4,), (1,)

Process finished with exit code 1

/// In file : train.py
def train(self):
............

    state, supplementary = self.env.reset()
    self.history.set_history(state)
    self.replay_memory.set_history(state, supplementary)

#env.reset()
//returns -->> return self.historical_prices[self.current - self.history_length:self.current], np.array([1.0])

from file: cryptoenv.py
//its an np.array.shape --> 1
whereas supplementary needs 27 according to the config file

P.S: for branch adaptive_normalization

[samre12]

@arunavo4 sorry for the delayed response, I will look into the issue ASAP.