diff --git a/fortuna/prob_model/posterior/sgmcmc/hmc/hmc_integrator.py b/fortuna/prob_model/posterior/sgmcmc/hmc/hmc_integrator.py
index 8755d5c7..f4c09a0f 100644
--- a/fortuna/prob_model/posterior/sgmcmc/hmc/hmc_integrator.py
+++ b/fortuna/prob_model/posterior/sgmcmc/hmc/hmc_integrator.py
@@ -14,6 +14,7 @@
 
 class OptaxHMCState(NamedTuple):
     """Optax state for the HMC integrator."""
+
     count: Array
     rng_key: PRNGKeyArray
     momentum: PyTree
@@ -38,6 +39,7 @@ def hmc_integrator(
         step_schedule: StepSchedule
             A function that takes training step as input and returns the step size.
     """
+
     def init_fn(params):
         return OptaxHMCState(
             count=jnp.zeros([], jnp.int32),
@@ -82,7 +84,7 @@ def mh_correction():
             momentum, _ = jax.flatten_util.ravel_pytree(momentum)
             kinetic = 0.5 * jnp.dot(momentum, momentum)
             hamiltonian = kinetic + state.log_prob
-            accept_prob = jnp.minimum(1., jnp.exp(hamiltonian - state.hamiltonian))
+            accept_prob = jnp.minimum(1.0, jnp.exp(hamiltonian - state.hamiltonian))
 
             def _accept():
                 empty_updates = jax.tree_util.tree_map(jnp.zeros_like, params)