3 import tensorflow_probability as tfp
4 tfd = tfp.distributions
----> 5 import bayeux as bx
6 import jax
2 frames
[/usr/local/lib/python3.11/dist-packages/bayeux/__init__.py](https://localhost:8080/#) in <module>
22 # See PEP 484 & https://github.com/google/jax/issues/7570
23 # pylint: disable=useless-import-alias
---> 24 from bayeux import mcmc as mcmc
25 from bayeux import optimize as optimize
26 from bayeux._src import debug as debug
[/usr/local/lib/python3.11/dist-packages/bayeux/mcmc/__init__.py](https://localhost:8080/#) in <module>
37
38 if importlib.util.find_spec("flowMC") is not None:
---> 39 from bayeux._src.mcmc.flowmc import MaskedCouplingRQSplineHMC as MaskedCouplingRQSplineHMCflowmc
40 from bayeux._src.mcmc.flowmc import MaskedCouplingRQSplineMALA as MaskedCouplingRQSplineMALAflowmc
41 from bayeux._src.mcmc.flowmc import RealNVPHMC as RealNVPHMCflowmc
[/usr/local/lib/python3.11/dist-packages/bayeux/_src/mcmc/flowmc.py](https://localhost:8080/#) in <module>
31 from bayeux._src import shared
32 from flowMC import Sampler
---> 33 from flowMC.nfmodel import realNVP
34 from flowMC.nfmodel import rqSpline
35 from flowMC.proposal import HMC
ModuleNotFoundError: No module named 'flowMC.nfmodel'
getting this error when I run in colab