Make linters happy

src/napari_matplotlib/histogram.py

@@ -125,13 +125,14 @@ def _update_contrast_lims(self) -> None:
 
     def autoset_widget_bins(self, data: npt.NDArray[Any]) -> None:
         """Update widgets with bins determined from the image data"""
-
         if data.dtype.kind in {"i", "u"}:
             # Make sure integer data types have integer sized bins
             # We can't use unsigned ints when calculating the step, otherwise
             # the following warning is raised:
             # 'RuntimeWarning: overflow encountered in scalar subtract'
-            step = abs(np.min(data).astype(int) - np.max(data).astype(int) // 100)
+            step = abs(
+                np.min(data).astype(int) - np.max(data).astype(int) // 100
+            )
             step = max(1, step)
             bins = np.arange(np.min(data), np.max(data) + step, step)
         else:
@@ -141,7 +142,6 @@ def autoset_widget_bins(self, data: npt.NDArray[Any]) -> None:
         self.bins_stop = bins[-1]
         self.bins_num = bins.size
 
-
     @property
     def bins_start(self) -> float:
         """Minimum bin edge"""