diff --git a/src/jimgw/single_event/likelihood.py b/src/jimgw/single_event/likelihood.py
index 0e439fd0..62ffe71e 100644
--- a/src/jimgw/single_event/likelihood.py
+++ b/src/jimgw/single_event/likelihood.py
@@ -576,18 +576,34 @@ def y(x):
 
         key = jax.random.PRNGKey(0)
         initial_position = jnp.zeros((popsize, prior.n_dim)) + jnp.nan
-        
-        while not jax.tree.reduce(jnp.logical_and, jax.tree.map(lambda x: jnp.isfinite(x), initial_position)).all():
-            non_finite_index = jnp.where(jnp.any(~jax.tree.reduce(jnp.logical_and, jax.tree.map(lambda x: jnp.isfinite(x), initial_position)),axis=1))[0]
+
+        while not jax.tree.reduce(
+            jnp.logical_and, jax.tree.map(lambda x: jnp.isfinite(x), initial_position)
+        ).all():
+            non_finite_index = jnp.where(
+                jnp.any(
+                    ~jax.tree.reduce(
+                        jnp.logical_and,
+                        jax.tree.map(lambda x: jnp.isfinite(x), initial_position),
+                    ),
+                    axis=1,
+                )
+            )[0]
 
             key, subkey = jax.random.split(key)
             guess = prior.sample(subkey, popsize)
             for transform in sample_transforms:
                 guess = jax.vmap(transform.forward)(guess)
-            guess = jnp.array(jax.tree.leaves({key: guess[key] for key in parameter_names})).T
-            finite_guess = jnp.where(jnp.all(jax.tree.map(lambda x: jnp.isfinite(x), guess),axis=1))[0]
+            guess = jnp.array(
+                jax.tree.leaves({key: guess[key] for key in parameter_names})
+            ).T
+            finite_guess = jnp.where(
+                jnp.all(jax.tree.map(lambda x: jnp.isfinite(x), guess), axis=1)
+            )[0]
             common_length = min(len(finite_guess), len(non_finite_index))
-            initial_position = initial_position.at[non_finite_index[:common_length]].set(guess[:common_length])
+            initial_position = initial_position.at[
+                non_finite_index[:common_length]
+            ].set(guess[:common_length])
         rng_key, optimized_positions, summary = optimizer.optimize(
             jax.random.PRNGKey(12094), y, initial_position
         )