Fix Code Style

Author: sjedhoff

bayesflow/diagnostics/metrics/posterior_contraction.py

@@ -77,7 +77,6 @@ def posterior_contraction(
         estimates = updated_data["estimates"]
         targets = updated_data["targets"]
 
-
     samples = dicts_to_arrays(
         estimates=estimates,
         targets=targets,

bayesflow/diagnostics/plots/recovery.py

@@ -7,6 +7,7 @@
 from bayesflow.utils.numpy_utils import credible_interval
 from bayesflow.utils.dict_utils import compute_test_quantities
 
+
 def recovery(
     estimates: Mapping[str, np.ndarray] | np.ndarray,
     targets: Mapping[str, np.ndarray] | np.ndarray,
@@ -131,7 +132,6 @@ def recovery(
         estimates = updated_data["estimates"]
         targets = updated_data["targets"]
 
-
     # Gather plot data and metadata into a dictionary
     plot_data = prepare_plot_data(
         estimates=estimates,

bayesflow/diagnostics/plots/z_score_contraction.py

@@ -6,6 +6,7 @@
 from bayesflow.utils import prepare_plot_data, add_titles_and_labels, prettify_subplots
 from bayesflow.utils.dict_utils import compute_test_quantities
 
+
 def z_score_contraction(
     estimates: Mapping[str, np.ndarray] | np.ndarray,
     targets: Mapping[str, np.ndarray] | np.ndarray,
@@ -117,7 +118,6 @@ def z_score_contraction(
         estimates = updated_data["estimates"]
         targets = updated_data["targets"]
 
-
     # Gather plot data and metadata into a dictionary
     plot_data = prepare_plot_data(
         estimates=estimates,

tests/test_links/test_links.py

@@ -23,9 +23,9 @@ def check_ordering(output, axis):
     assert np.all(np.diff(output, axis=axis) > 0), f"is not ordered along specified axis: {axis}."
     for i in range(output.ndim):
         if i != axis % output.ndim:
-            assert not np.all(np.diff(output, axis=i) > 0), (
-                f"is ordered along axis which is not meant to be ordered: {i}."
-            )
+            assert not np.all(
+                np.diff(output, axis=i) > 0
+            ), f"is ordered along axis which is not meant to be ordered: {i}."
 
 
 @pytest.mark.parametrize("axis", [0, 1, 2])

tests/test_networks/test_point_inference_network/test_point_inference_network.py

@@ -44,9 +44,9 @@ def test_save_and_load(tmp_path, point_inference_network, random_samples, random
 
     for key_outer in out1.keys():
         for key_inner in out1[key_outer].keys():
-            assert keras.ops.all(keras.ops.isclose(out1[key_outer][key_inner], out2[key_outer][key_inner])), (
-                "Output of original and loaded model differs significantly."
-            )
+            assert keras.ops.all(
+                keras.ops.isclose(out1[key_outer][key_inner], out2[key_outer][key_inner])
+            ), "Output of original and loaded model differs significantly."
 
 
 def test_copy_unequal(point_inference_network, random_samples, random_conditions):