Change ruff version so lint test can pass

.pre-commit-config.yaml

@@ -14,7 +14,7 @@
 repos:
 - repo: https://github.com/astral-sh/ruff-pre-commit
   # Ruff version.
-  rev: v0.4.9
+  rev: v0.9.6
   hooks:
     # Run the linter.
     - id: ruff
@@ -28,7 +28,7 @@ repos:
 #    - id: nbqa-ruff
 #      args: [--ignore=E402]  # E402: module level import not at top of file
 - repo: https://github.com/pre-commit/pre-commit-hooks
-  rev: v4.4.0
+  rev: v5.0.0
   hooks:
   # A bunch of other pre-defined hooks.
   - id: check-yaml

bayesflow/links/ordered.py

@@ -20,9 +20,9 @@ def get_config(self):
     def build(self, input_shape):
         super().build(input_shape)
 
-        assert (
-            self.anchor_index % input_shape[self.axis] != 0 and self.anchor_index != -1
-        ), "anchor should not be first or last index."
+        assert self.anchor_index % input_shape[self.axis] != 0 and self.anchor_index != -1, (
+            "anchor should not be first or last index."
+        )
         self.group_indeces = dict(
             below=list(range(0, self.anchor_index)),
             above=list(range(self.anchor_index + 1, input_shape[self.axis])),

tests/test_links/test_links.py

@@ -28,9 +28,9 @@ 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])
@@ -66,6 +66,6 @@ def test_positive_semi_definite(random_matrix_batch):
 
     eigenvalues = np.linalg.eig(output).eigenvalues
 
-    assert np.all(eigenvalues.real > 0) and np.all(
-        np.isclose(eigenvalues.imag, 0)
-    ), f"output is not positive semi-definite: real={eigenvalues.real}, imag={eigenvalues.imag}"
+    assert np.all(eigenvalues.real > 0) and np.all(np.isclose(eigenvalues.imag, 0)), (
+        f"output is not positive semi-definite: real={eigenvalues.real}, imag={eigenvalues.imag}"
+    )

tests/test_networks/test_point_inference_network/test_point_inference_network.py

@@ -43,9 +43,9 @@ 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):