diff --git a/test/unit/test_prior.py b/test/unit/test_prior.py
index c68b4dc4..c42d76be 100644
--- a/test/unit/test_prior.py
+++ b/test/unit/test_prior.py
@@ -30,7 +30,6 @@ def test_uniform(self):
         samples = p.sample(jax.random.PRNGKey(0), 10000)
         assert jnp.all(jnp.isfinite(samples['x']))
         # Check that the log_prob is correct in the support
-        samples = p.sample(jax.random.PRNGKey(0), 10000)
         log_prob = jax.vmap(p.log_prob)(samples)
         assert jnp.allclose(log_prob, jnp.log(1.0 / (xmax - xmin)))
 
@@ -40,7 +39,6 @@ def test_sine(self):
         samples = p.sample(jax.random.PRNGKey(0), 10000)
         assert jnp.all(jnp.isfinite(samples['x']))
         # Check that the log_prob is finite
-        samples = p.sample(jax.random.PRNGKey(0), 10000)
         log_prob = jax.vmap(p.log_prob)(samples)
         assert jnp.all(jnp.isfinite(log_prob))
         # Check that the log_prob is correct in the support
@@ -56,7 +54,6 @@ def test_cosine(self):
         samples = p.sample(jax.random.PRNGKey(0), 10000)
         assert jnp.all(jnp.isfinite(samples['x']))
         # Check that the log_prob is finite
-        samples = p.sample(jax.random.PRNGKey(0), 10000)
         log_prob = jax.vmap(p.log_prob)(samples)
         assert jnp.all(jnp.isfinite(log_prob))
         # Check that the log_prob is correct in the support
@@ -73,9 +70,6 @@ def test_uniform_sphere(self):
         assert jnp.all(jnp.isfinite(samples['x_theta']))
         assert jnp.all(jnp.isfinite(samples['x_phi']))
         # Check that the log_prob is finite
-        samples = {}
-        for i in range(3):
-            samples.update(trace_prior_parent(p, [])[i].sample(jax.random.PRNGKey(0), 10000))
         log_prob = jax.vmap(p.log_prob)(samples)
         assert jnp.all(jnp.isfinite(log_prob))
     
@@ -97,14 +91,12 @@ def func(alpha):
             assert jnp.all(jnp.isfinite(powerlaw_samples['x']))
             
             # Check that all the log_probs are finite
-            samples = p.sample(jax.random.PRNGKey(0), 10000)
-            log_p = jax.vmap(p.log_prob, [0])(samples)
+            log_p = jax.vmap(p.log_prob, [0])(powerlaw_samples)
             assert jnp.all(jnp.isfinite(log_p))
             
             # Check that the log_prob is correct in the support
-            samples = p.sample(jax.random.PRNGKey(0), 10000)
-            log_prob = jax.vmap(p.log_prob)(samples)
-            standard_log_prob = powerlaw_log_pdf(samples['x'], alpha, xmin, xmax)
+            log_prob = jax.vmap(p.log_prob)(powerlaw_samples)
+            standard_log_prob = powerlaw_log_pdf(powerlaw_samples['x'], alpha, xmin, xmax)
             # log pdf of powerlaw
             assert jnp.allclose(log_prob, standard_log_prob, atol=1e-4)