Bump pre-commit versions

.pre-commit-config.yaml

@@ -1,30 +1,30 @@
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v5.0.0
+    rev: v6.0.0
     hooks:
       - id: check-docstring-first
       - id: end-of-file-fixer
       - id: trailing-whitespace
 
-  - repo: https://github.com/psf/black-pre-commit-mirror
-    rev: 25.1.0
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.13.1
     hooks:
-      - id: black
+      - id: ruff-format
 
   - repo: https://github.com/tlambert03/napari-plugin-checks
     rev: v0.3.0
     hooks:
       - id: napari-plugin-checks
 
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.15.0
+    rev: v1.18.2
     hooks:
      - id: mypy
        additional_dependencies: [numpy, matplotlib]
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
     # Ruff version.
-    rev: 'v0.11.9'
+    rev: 'v0.13.1'
     hooks:
       - id: ruff
 

src/napari_matplotlib/base.py

@@ -83,9 +83,7 @@ def _on_napari_theme_changed(self, event: Event) -> None:
         event : napari.utils.events.Event
             Event that triggered the callback.
         """
-        self.napari_theme_style_sheet = style_sheet_from_theme(
-            get_theme(event.value)
-        )
+        self.napari_theme_style_sheet = style_sheet_from_theme(get_theme(event.value))
         self._replace_toolbar_icons()
 
     def _napari_theme_has_light_bg(self) -> bool:
@@ -220,9 +218,7 @@ def _setup_callbacks(self) -> None:
         # z-step changed in viewer
         self.viewer.dims.events.current_step.connect(self._draw)
         # Layer selection changed in viewer
-        self.viewer.layers.selection.events.changed.connect(
-            self._update_layers
-        )
+        self.viewer.layers.selection.events.changed.connect(self._update_layers)
 
     @property
     def _valid_layer_selection(self) -> bool:
@@ -307,9 +303,7 @@ class NapariNavigationToolbar(NavigationToolbar2QT):
     def __init__(self, *args, **kwargs) -> None:  # type: ignore[no-untyped-def]
         super().__init__(*args, **kwargs)  # type: ignore[no-untyped-call]
         self.setIconSize(
-            from_napari_css_get_size_of(
-                "QtViewerPushButton", fallback=(28, 28)
-            )
+            from_napari_css_get_size_of("QtViewerPushButton", fallback=(28, 28))
         )
 
     def _update_buttons_checked(self) -> None:
@@ -324,15 +318,11 @@ def _update_buttons_checked(self) -> None:
                     QIcon(os.path.join(icon_dir, "Pan_checked.png"))
                 )
             else:
-                self._actions["pan"].setIcon(
-                    QIcon(os.path.join(icon_dir, "Pan.png"))
-                )
+                self._actions["pan"].setIcon(QIcon(os.path.join(icon_dir, "Pan.png")))
         if "zoom" in self._actions:
             if self._actions["zoom"].isChecked():
                 self._actions["zoom"].setIcon(
                     QIcon(os.path.join(icon_dir, "Zoom_checked.png"))
                 )
             else:
-                self._actions["zoom"].setIcon(
-                    QIcon(os.path.join(icon_dir, "Zoom.png"))
-                )
+                self._actions["zoom"].setIcon(QIcon(os.path.join(icon_dir, "Zoom.png")))

src/napari_matplotlib/histogram.py

@@ -100,9 +100,7 @@ def on_update_layers(self) -> None:
         """
         super().on_update_layers()
         if self._valid_layer_selection:
-            self.layers[0].events.contrast_limits.connect(
-                self._update_contrast_lims
-            )
+            self.layers[0].events.contrast_limits.connect(self._update_contrast_lims)
 
         if not self.layers:
             return
@@ -170,8 +168,7 @@ def draw(self) -> None:
             self.axes.hist(data.ravel(), bins=bins.tolist(), label=layer.name)
 
         self._contrast_lines = [
-            self.axes.axvline(lim, color="white")
-            for lim in layer.contrast_limits
+            self.axes.axvline(lim, color="white") for lim in layer.contrast_limits
         ]
         self.axes.legend()
 
@@ -197,9 +194,7 @@ def __init__(
         self.layout().addWidget(QLabel("Key:"))
         self.layout().addWidget(self._key_selection_widget)
 
-        self._key_selection_widget.currentTextChanged.connect(
-            self._set_axis_keys
-        )
+        self._key_selection_widget.currentTextChanged.connect(self._set_axis_keys)
 
         self._update_layers(None)
 

src/napari_matplotlib/tests/scatter/test_scatter.py

@@ -37,9 +37,7 @@ def test_scatter_3D(make_napari_viewer, brain_data):
 
     viewer.add_image(brain_data[0], **brain_data[1], name="brain")
 
-    viewer.add_image(
-        brain_data[0] * -1.0, **brain_data[1], name="brain_reversed"
-    )
+    viewer.add_image(brain_data[0] * -1.0, **brain_data[1], name="brain_reversed")
     # De-select existing selection
     viewer.layers.selection.clear()
     axis = viewer.dims.last_used

src/napari_matplotlib/tests/scatter/test_scatter_features.py

@@ -9,16 +9,12 @@
 
 
 @pytest.mark.mpl_image_compare
-def test_features_scatter_widget_2D(
-    make_napari_viewer, points_with_features_data
-):
+def test_features_scatter_widget_2D(make_napari_viewer, points_with_features_data):
     viewer = make_napari_viewer()
     viewer.theme = "light"
     widget = FeaturesScatterWidget(viewer)
 
-    viewer.add_points(
-        points_with_features_data[0], **points_with_features_data[1]
-    )
+    viewer.add_points(points_with_features_data[0], **points_with_features_data[1])
     assert len(viewer.layers) == 1
     # De-select existing selection
     viewer.layers.selection.clear()
@@ -33,9 +29,7 @@ def test_features_scatter_widget_2D(
     return deepcopy(fig)
 
 
-def make_labels_layer_with_features() -> (
-    tuple[npt.NDArray[np.uint16], dict[str, Any]]
-):
+def make_labels_layer_with_features() -> tuple[npt.NDArray[np.uint16], dict[str, Any]]:
     label_image: npt.NDArray[np.uint16] = np.zeros((100, 100), dtype=np.uint16)
     for label_value, start_index in enumerate([10, 30, 50], start=1):
         end_index = start_index + 10

src/napari_matplotlib/tests/test_layer_changes.py

@@ -71,9 +71,7 @@ def assert_features_plot_changes(
     widget = widget_cls(viewer)
     viewer.add_points(data[0], **data[1])
     # Change the features data for the second layer
-    data[1]["features"] = {
-        name: data + 1 for name, data in data[1]["features"].items()
-    }
+    data[1]["features"] = {name: data + 1 for name, data in data[1]["features"].items()}
     viewer.add_points(data[0], **data[1])
     assert_plot_changes(viewer, widget, n_layers=1)
 

src/napari_matplotlib/tests/test_theme.py

@@ -10,17 +10,15 @@
     "theme_name, expected_icons",
     [("dark", "white"), ("light", "black")],
 )
-def test_theme_mpl_toolbar_icons(
-    make_napari_viewer, theme_name, expected_icons
-):
+def test_theme_mpl_toolbar_icons(make_napari_viewer, theme_name, expected_icons):
     """Check that the icons are taken from the correct folder for each napari theme."""
     viewer = make_napari_viewer()
     viewer.theme = theme_name
     path_to_icons = NapariMPLWidget(viewer)._get_path_to_icon()
     assert path_to_icons.exists(), "The theme points to non-existant icons."
-    assert (
-        path_to_icons.stem == expected_icons
-    ), "The theme is selecting unexpected icons."
+    assert path_to_icons.stem == expected_icons, (
+        "The theme is selecting unexpected icons."
+    )
 
 
 def _mock_up_theme() -> None:
@@ -32,9 +30,7 @@ def _mock_up_theme() -> None:
     blue_theme = napari.utils.theme.get_theme("dark")
     blue_theme.label = "blue"
     blue_theme.background = "#4169e1"  # my favourite shade of blue
-    napari.utils.theme.register_theme(
-        "blue", blue_theme, source="napari-mpl-tests"
-    )
+    napari.utils.theme.register_theme("blue", blue_theme, source="napari-mpl-tests")
 
 
 def test_theme_background_check(make_napari_viewer):
@@ -62,9 +58,7 @@ def test_theme_background_check(make_napari_viewer):
         ("light", "#3b3a39"),  # #3b3a39 is a brownish dark grey (almost black)
     ],
 )
-def test_titles_respect_theme(
-    make_napari_viewer, theme_name, expected_text_colour
-):
+def test_titles_respect_theme(make_napari_viewer, theme_name, expected_text_colour):
     """
     Test that the axis labels and titles are the correct color for the napari theme.
     """
@@ -114,9 +108,7 @@ def test_no_theme_side_effects(make_napari_viewer):
     ax.hist(normal_dist, bins=100)
     ax.set_xlabel("something unrelated to napari (x)")
     ax.set_ylabel("something unrelated to napari (y)")
-    ax.set_title(
-        "this plot style should not change with napari styles or themes"
-    )
+    ax.set_title("this plot style should not change with napari styles or themes")
     unrelated_figure.tight_layout()
 
     return unrelated_figure

src/napari_matplotlib/tests/test_ui.py

@@ -19,9 +19,7 @@ def _are_different(a: QImage, b: QImage) -> bool:
     return False
 
 
-@pytest.mark.parametrize(
-    "Widget", [HistogramWidget, ScatterWidget, SliceWidget]
-)
+@pytest.mark.parametrize("Widget", [HistogramWidget, ScatterWidget, SliceWidget])
 def test_mpl_toolbar_buttons_checked(make_napari_viewer, Widget):
     """Test that the icons for checkable actions change when when a tool is selected.
 

src/napari_matplotlib/tests/test_util.py

@@ -10,6 +10,7 @@
 def test_version_fallback(mocker):
     """Test the versioning fallback (in case setuptools_scm didn't work)"""
     import napari_matplotlib  # fmt: skip
+
     assert napari_matplotlib.__version__ != "unknown"  # type: ignore[attr-defined]
 
     mocker.patch.dict(sys.modules, {"napari_matplotlib._version": None})
@@ -70,9 +71,7 @@ def test_fallback_if_missing_dimensions(mocker):
     mocker.patch("napari.qt.get_current_stylesheet").return_value = test_css
     with pytest.warns(RuntimeWarning, match="Unable to find DimensionToken"):
         with pytest.warns(RuntimeWarning, match="Unable to find Flobble"):
-            assert from_napari_css_get_size_of("Flobble", (1, 2)) == QSize(
-                1, 2
-            )
+            assert from_napari_css_get_size_of("Flobble", (1, 2)) == QSize(1, 2)
 
 
 def test_fallback_if_prelude_not_in_css():

src/napari_matplotlib/util.py

@@ -54,20 +54,15 @@ def _helper_text(self) -> str | None:
         if self.lower is None and self.upper is None:
             helper_text = None
         elif self.lower is not None and self.upper is None:
-            helper_text = (
-                f"Select at least {self.lower} layers to generate plot"
-            )
+            helper_text = f"Select at least {self.lower} layers to generate plot"
         elif self.lower is None and self.upper is not None:
-            helper_text = (
-                f"Select at most {self.upper} layers to generate plot"
-            )
+            helper_text = f"Select at most {self.upper} layers to generate plot"
         elif self.lower == self.upper:
             helper_text = f"Select {self.lower} layers to generate plot"
 
         else:
             helper_text = (
-                f"Select between {self.lower} and "
-                f"{self.upper} layers to generate plot"
+                f"Select between {self.lower} and {self.upper} layers to generate plot"
             )
 
         if helper_text is not None:
@@ -80,9 +75,7 @@ def _has_id(nodes: list[tinycss2.ast.Node], id_name: str) -> bool:
     """
     Is `id_name` in IdentTokens in the list of CSS `nodes`?
     """
-    return any(
-        [node.type == "ident" and node.value == id_name for node in nodes]
-    )
+    return any([node.type == "ident" and node.value == id_name for node in nodes])
 
 
 def _get_dimension(nodes: list[tinycss2.ast.Node], id_name: str) -> int | None:
@@ -95,11 +88,7 @@ def _get_dimension(nodes: list[tinycss2.ast.Node], id_name: str) -> int | None:
     """
     cleaned_nodes = [node for node in nodes if node.type != "whitespace"]
     for name, _, value, _ in zip(*(iter(cleaned_nodes),) * 4, strict=False):
-        if (
-            name.type == "ident"
-            and value.type == "dimension"
-            and name.value == id_name
-        ):
+        if name.type == "ident" and value.type == "dimension" and name.value == id_name:
             return value.int_value
     warn(
         f"Unable to find DimensionToken for {id_name}",