Bayesian Hidden Markov model got an unexpected keyword argument 'desc'

[ShenWenHuibit]

When I want to analyze Hidden Markov Network, I have the following problem

hmm=pyemma.msm.bayesian_hidden_markov_model(dtrajs,5, lag=30,stride=10, mincount_connectivity=0.2)

Sampling HMSMs: 0%| | 0/100 [00:00<?, ?it/s]Traceback (most recent call last):
File "/home/xhshi/whshen/vscode/FDM-openmm-MSM/1PGB/rmsd3.0/pyemma/hmm.py", line 42, in
hmm=pyemma.msm.bayesian_hidden_markov_model(dtrajs,5, lag=30,stride=10, mincount_connectivity=0.02)
File "/home/xhshi/whshen/anaconda3/envs/workshop/lib/python3.9/site-packages/pyemma/msm/api.py", line 1375, in bayesian_hidden_markov_model
return bhmsm_estimator.estimate(dtrajs)
File "/home/xhshi/whshen/anaconda3/envs/workshop/lib/python3.9/site-packages/pyemma/_base/estimator.py", line 418, in estimate
self._model = self._estimate(X)
File "/home/xhshi/whshen/anaconda3/envs/workshop/lib/python3.9/site-packages/pyemma/msm/estimators/bayesian_hmsm.py", line 313, in _estimate
estimator.fit(dtrajs, n_burn_in=0, n_thin=1, progress=progress)
File "/home/xhshi/whshen/anaconda3/envs/workshop/lib/python3.9/site-packages/deeptime/base.py", line 417, in call
return self.fit_method(*args, **kwargs)
File "/home/xhshi/whshen/anaconda3/envs/workshop/lib/python3.9/site-packages/deeptime/markov/hmm/_bayesian_hmm.py", line 610, in fit
for _ in progress(range(self.n_samples), desc="Drawing samples", leave=False):
TypeError: init() got an unexpected keyword argument 'desc'
Sampling HMSMs: 0%| | 0/100 [11:47<?, ?it/s]

How can I solve this problem, thanks.

[D16ERG]

I encountered the same issue. Although this issue was also later mentioned in #1610 ; it has not been resolved AFAIK.