scv.tl.recover_dynamics fails

[Marius1311]

When trying to run scv.tl.recover_dynamics(adata, n_jobs=8), I get

    761 if dm is not None and dm.recoverable:
    762     dm.m = m[idx]
    763     dm.alpha, dm.beta, dm.gamma, dm.pars[:3] = (
--> 764         np.array([dm.alpha, dm.beta, dm.gamma, dm.pars[:3]]) / dm.m[-1]
    765     )
    766     dm.t, dm.tau, dm.t_, dm.pars[4] = (
    767         np.array([dm.t, dm.tau, dm.t_, dm.pars[4]]) * dm.m[-1]
    768     )
    770 return adata if copy else dm

ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (4,) + inhomogeneous part.

This appears to be a similar error to #1044

Error output

# paste the error output here, if applicable

Versions

scvelo==0.3.0  scanpy==1.9.3  anndata==0.8.0  loompy==3.0.7  numpy==1.24.2  scipy==1.10.1  matplotlib==3.7.0  sklearn==1.1.3  pandas==1.5.3