test CI: old tests

tests/mcmc/test_sampling.py

@@ -122,6 +122,7 @@ def run_mclmc(
         (
             blackjax_state_after_tuning,
             blackjax_mclmc_sampler_params,
+            num_tuning_integrator_steps,
         ) = blackjax.mclmc_find_L_and_step_size(
             mclmc_kernel=kernel,
             num_steps=num_steps,
@@ -183,6 +184,7 @@ def run_adjusted_mclmc_dynamic(
         (
             blackjax_state_after_tuning,
             blackjax_mclmc_sampler_params,
+            num_tuning_integrator_steps,
         ) = blackjax.adjusted_mclmc_find_L_and_step_size(
             mclmc_kernel=kernel,
             num_steps=num_steps,
@@ -252,6 +254,7 @@ def run_adjusted_mclmc(
         (
             blackjax_state_after_tuning,
             blackjax_mclmc_sampler_params,
+            num_tuning_integrator_steps,
         ) = blackjax.adjusted_mclmc_find_L_and_step_size(
             mclmc_kernel=kernel,
             num_steps=num_steps,
@@ -402,9 +405,10 @@ def test_mclmc(self):
         np.testing.assert_allclose(np.mean(scale_samples), 1.0, rtol=1e-2, atol=1e-1)
         np.testing.assert_allclose(np.mean(coefs_samples), 3.0, rtol=1e-2, atol=1e-1)
 
-    # @parameterized.parameters([True, False])
+    @parameterized.parameters([True, False])
     def test_adjusted_mclmc_dynamic(
         self,
+        diagonal_preconditioning,
     ):
         """Test the MCLMC kernel."""
 
@@ -422,7 +426,7 @@ def test_adjusted_mclmc_dynamic(
             logdensity_fn=logdensity_fn,
             key=inference_key,
             num_steps=10000,
-            diagonal_preconditioning=True,
+            diagonal_preconditioning=diagonal_preconditioning,
         )
 
         coefs_samples = states["coefs"][3000:]
@@ -431,10 +435,8 @@ def test_adjusted_mclmc_dynamic(
         np.testing.assert_allclose(np.mean(scale_samples), 1.0, atol=1e-2)
         np.testing.assert_allclose(np.mean(coefs_samples), 3.0, atol=1e-2)
 
-    # @parameterized.parameters([True, False])
-    def test_adjusted_mclmc(
-        self,
-    ):
+    @parameterized.parameters([True, False])
+    def test_adjusted_mclmc(self, diagonal_preconditioning):
         """Test the MCLMC kernel."""
 
         init_key0, init_key1, inference_key = jax.random.split(self.key, 3)
@@ -451,7 +453,7 @@ def test_adjusted_mclmc(
             logdensity_fn=logdensity_fn,
             key=inference_key,
             num_steps=10000,
-            diagonal_preconditioning=True,
+            diagonal_preconditioning=diagonal_preconditioning,
         )
 
         coefs_samples = states["coefs"][3000:]
@@ -517,7 +519,7 @@ def get_inverse_mass_matrix():
                 inverse_mass_matrix=inverse_mass_matrix,
             )
 
-            (_, blackjax_mclmc_sampler_params) = blackjax.mclmc_find_L_and_step_size(
+            (_, blackjax_mclmc_sampler_params, _) = blackjax.mclmc_find_L_and_step_size(
                 mclmc_kernel=kernel,
                 num_steps=num_steps,
                 state=initial_state,