old_contents: from .diagnostics import effective_sample_size as ess
  from .diagnostics import potential_scale_reduction as rhat
  from .kernels import (
      adaptive_tempered_smc,
      elliptical_slice,
      hmc,
      irmh,
      mala,
      mgrad_gaussian,
      nuts,
      orbital_hmc,
      pathfinder_adaptation,
      rmh,
      sghmc,
      sgld,
      tempered_smc,
      window_adaptation,
  )
  from .optimizers import dual_averaging, lbfgs
  
  __version__ = "0.8.2"
  
  __all__ = [
      "dual_averaging",  # optimizers
      "lbfgs",
      "hmc",  # mcmc
      "mala",
      "mgrad_gaussian",
      "nuts",
      "orbital_hmc",
      "rmh",
      "irmh",
      "elliptical_slice",
      "sgld",  # stochastic gradient mcmc
      "sghmc",
      "window_adaptation",  # mcmc adaptation
      "pathfinder_adaptation",
      "adaptive_tempered_smc",  # smc
      "tempered_smc",
      "ess",  # diagnostics
      "rhat",
  ]
  
new_contents: from .diagnostics import effective_sample_size as ess
  from .diagnostics import potential_scale_reduction as rhat
  from .kernels import (
      adaptive_tempered_smc,
      elliptical_slice,
      hmc,
      irmh,
      mala,
      mgrad_gaussian,
      nuts,
      orbital_hmc,
      pathfinder_adaptation,
      rmh,
      sghmc,
      sgld,
      tempered_smc,
      window_adaptation,
  )
  from .optimizers import dual_averaging, lbfgs
  
  __version__ = "0.8.3"
  
  __all__ = [
      "dual_averaging",  # optimizers
      "lbfgs",
      "hmc",  # mcmc
      "mala",
      "mgrad_gaussian",
      "nuts",
      "orbital_hmc",
      "rmh",
      "irmh",
      "elliptical_slice",
      "sgld",  # stochastic gradient mcmc
      "sghmc",
      "window_adaptation",  # mcmc adaptation
      "pathfinder_adaptation",
      "adaptive_tempered_smc",  # smc
      "tempered_smc",
      "ess",  # diagnostics
      "rhat",
  ]
  
subject: Bump Blackjax version to 0.8.3